0 2 2 1 0 7 0141bd6a-9454-4dc0-8c73-3979d84677f6 Shaded 0 255;217;217;217 255;207;207;207 637917650197246944 XHG.⠀⠀⠀⠀ⵙᗝⵙꖴⵙⓄⵙᙏⵙᕤᕦⵙꖴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᙏⵙꖴⵙИNⵙꖴⵙᙏⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙᗱᗴⵙᕤᕦⵙᗝⵙᗱᗴⵙ◯ⵙᙁⵙᑎⵙꗳⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙꗳⵙᑎⵙᙁⵙ◯ⵙᗱᗴⵙᗝⵙᕤᕦⵙᗱᗴⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᙏⵙꖴⵙИNⵙꖴⵙᙏⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙꖴⵙᕤᕦⵙᙏⵙⓄⵙꖴⵙᗝⵙ⠀⠀⠀⠀.GHX 0 -7058 -7050 1 0 0 2 Pufferfish, Version=3.0.0.0, Culture=neutral, PublicKeyToken=null 3.0.0.0 Michael Pryor 1c9de8a1-315f-4c56-af06-8f69fee80a7a Pufferfish 3.0.0.0 Heteroptera, Version=0.7.2.4, Culture=neutral, PublicKeyToken=null 0.7.2.4 Amin Bahrami [Studio Helioripple] 08bdcae0-d034-48dd-a145-24a9fcf3d3ff Heteroptera 0.7.2.4 2606 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d16b55bb-51fe-4ac6-8df8-106c39c9f1b3 55f1c7e0-6646-4cc8-8195-3ff0bc546430 845f5ae1-563a-4eba-9bd2-1f364dec84f2 edfbaf71-ae8b-4a14-ba3d-8ffe64b466be e7334885-e509-483f-84d0-4a94b25496cd 3d00de67-1b84-4a16-9ee5-ac49623b276f f6105af9-d019-412d-a4d5-869389b4cdff 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9e3117d6-b3b4-4adc-84f3-2835a988e21e c8c317c7-391f-4b40-93d8-4c1994caecef 3b490da6-b955-4f9c-bddc-980384007a01 c2fc9a4e-ff43-4e6b-ba22-4562fab58558 99 61bcf775-8597-4b5c-a39e-6aa822a67ed7 Group 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 true Number Number false 96971adb-dc6f-4220-b87f-875d4c7c2611 1 4293 7003 50 24 4318.785 7015.021 1 1 {0} 1024 aaa665bd-fd6e-4ccb-8d2c-c5b33072125d Curvature Evaluate the curvature of a curve at a specified parameter. true b95d8a38-41aa-4736-824a-ba59abe8a164 true Curvature Curvature 4249 6833 137 64 4319 6865 Curve to evaluate 19c1983b-2d95-47e4-8f56-f9ebcbdf4b86 true Curve Curve false 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 1 4251 6835 53 30 4279 6850 Parameter on curve domain to evaluate 115baf5b-eaad-418a-8025-23991d12e2ee true Parameter Parameter false 72571f4d-e390-4273-afe8-daa1b335cb89 1 4251 6865 53 30 4279 6880 Point on curve at {t} 530f89ee-5568-4c47-990d-ddab27ed409e true Point Point false 0 4334 6835 50 20 4360.5 6845 Curvature vector at {t} 0740a746-92bd-42a5-be7d-7c4afad1589c true Curvature Curvature false 0 4334 6855 50 20 4360.5 6865 Curvature circle at {t} cd58e8b9-06e1-45b4-a606-81544cb9262d true Curvature Curvature false 0 4334 6875 50 20 4360.5 6885 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true 93c43765-186a-4186-a1a9-e77f1750e486 true Divide Curve Divide Curve 4255 6916 125 64 4305 6948 Curve to divide d0f1a5a1-14fc-4928-a5ef-8feb9f1e8e65 true Curve Curve false 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 1 4257 6918 33 20 4275 6928 Number of segments c80889e9-7d20-4519-a4fe-c7d376ff0d17 true Count Count false 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 1 4257 6938 33 20 4275 6948 1 1 {0} 10 Split segments at kinks 798a9bca-31a3-4cc6-b5a7-d6320e4a9c6a true Kinks Kinks false 0 4257 6958 33 20 4275 6968 1 1 {0} false 1 Division points 8f938e34-0564-4935-842c-a035ea89a910 true Points Points false 0 4320 6918 58 20 4350.5 6928 1 Tangent vectors at division points c11a93a5-d484-4a27-a79d-20a0c829c1b9 true Tangents Tangents false 0 4320 6938 58 20 4350.5 6948 1 Parameter values at division points 72571f4d-e390-4273-afe8-daa1b335cb89 true Parameters Parameters false 0 4320 6958 58 20 4350.5 6968 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 true 2 Curve Curve false a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 1 4291 7432 53 24 4327.5 7444.836 23862862-049a-40be-b558-2418aacbd916 Deconstruct Arc Retrieve the base plane, radius and angle domain of an arc. true 65df7317-6c88-4fda-8fed-06e7d0688f08 true Deconstruct Arc Deconstruct Arc 4261 6752 114 64 4301 6784 Arc or Circle to deconstruct 789da2de-584e-42a0-a38e-b29e6b35279e true Arc Arc false cd58e8b9-06e1-45b4-a606-81544cb9262d 1 4263 6754 23 60 4276 6784 Base plane of arc or circle 35a8e793-f0c7-4e6d-921e-18109ea98ceb true Base Plane Base Plane false 0 4316 6754 57 20 4346 6764 Radius of arc or circle 3654a9c9-a7f1-48df-8fa7-73ed1663a837 true Radius Radius false 0 4316 6774 57 20 4346 6784 Angle domain (in radians) of arc 0a990d82-8970-40a7-827e-8fb7dedd1a8c true Angle Angle false 0 4316 6794 57 20 4346 6804 797d922f-3a1d-46fe-9155-358b009b5997 One Over X Compute one over x. true 6897aa6f-691a-4a9e-9c03-e572cb62cff8 true One Over X One Over X 4268 6256 100 28 4317 6270 Input value 605ebcc2-3259-4435-82ad-d9a5c07f3466 true Value Value false 4ae5300f-9b3f-4375-87a5-52ce195ec59e 1 4270 6258 32 24 4287.5 6270 Output value 65383476-e61d-4ddb-9403-69c36989070f true Result Result false 0 4332 6258 34 24 4350.5 6270 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph b707e471-1378-4bfb-bd26-10f57a654a96 true Quick Graph Quick Graph false 0 6fb580be-4b7e-48e0-a5cf-431967be43a9 1 4243 6074 150 150 4243.486 6074.676 0 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true 5af3936c-a114-48c9-97e6-a71d4495fe1c true Line Line 4261 6320 114 44 4333 6342 Line start point d77174e3-2f21-4b5a-a69b-36c3db06d110 true Start Point Start Point false 530f89ee-5568-4c47-990d-ddab27ed409e 1 4263 6322 55 20 4292 6332 Line end point bcccc128-d879-4b75-8cca-bb5aac27fe03 true End Point End Point false 35a8e793-f0c7-4e6d-921e-18109ea98ceb 1 4263 6342 55 20 4292 6352 Line segment ee24630f-f4f0-4780-abab-e012c957d4c6 true Line Line false 0 4348 6322 25 40 4362 6342 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 1d60a251-59c1-4374-b24a-8b67b3ca92c6 true Line SDL Line SDL 4257 5120 122 64 4337 5152 Line start point e22555ed-ce09-4f6a-86b7-694208f85afe true Start Start false 530f89ee-5568-4c47-990d-ddab27ed409e 1 4259 5122 63 20 4300 5132 Line tangent (direction) a5bec1ae-8462-420c-be22-d4988f1de771 true Direction Direction false 61f9e29f-feb3-4122-9ade-977c75c70121 1 4259 5142 63 20 4300 5152 1 1 {0} 0 0 1 Line length 20fc2090-edc5-4ea6-b00a-6537afd6b455 -X true Length Length false 501fc599-56aa-405b-ad58-777fa1c4d11c 1 4259 5162 63 20 4300 5172 1 1 {0} 1 Line segment 76eb6709-1b5d-4393-a09b-053dd6f6870c true Line Line false 0 4352 5122 25 60 4366 5152 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 5dab1729-964c-4894-9f64-653823a0fdac true Evaluate Length Evaluate Length 4246 4856 144 64 4320 4888 Curve to evaluate 9629717c-17ba-4da9-b279-417bda8b5269 true Curve Curve false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4248 4858 57 20 4278 4868 Length factor for curve evaluation 80b0ad13-9823-4b7a-b40a-3b34377e5d5e true Length Length false 0 4248 4878 57 20 4278 4888 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) a7b905ec-d2c6-4035-978f-8400334a8ca8 true Normalized Normalized false 0 4248 4898 57 20 4278 4908 1 1 {0} true Point at the specified length c8092559-5804-445a-b39b-40959ab7673b true Point Point false 0 4335 4858 53 20 4363 4868 Tangent vector at the specified length 9b982a23-a369-4aae-89b4-1d10c80fafd6 true Tangent Tangent false 0 4335 4878 53 20 4363 4888 Curve parameter at the specified length 2059ff87-cc57-4684-a6cc-860c3e9f8fd4 true Parameter Parameter false 0 4335 4898 53 20 4363 4908 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 9ed44b3d-ce1f-4cd3-8d86-8bb364de6405 true Interpolate Interpolate 4255 4754 125 84 4322 4796 1 Interpolation points 7211f213-a1bc-47a9-a942-2e9f99f244ea true Vertices Vertices false c8092559-5804-445a-b39b-40959ab7673b 1 4257 4756 50 20 4283.5 4766 Curve degree 1d00875e-8c8f-4255-8021-f9eace27906e true Degree Degree false 0 4257 4776 50 20 4283.5 4786 1 1 {0} 1 Periodic curve b55b69f0-6548-4440-86b5-e2c5bca673d1 true Periodic Periodic false 0 4257 4796 50 20 4283.5 4806 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 5fa7d12e-58e2-4597-bf61-f6aac4ca69b6 true KnotStyle KnotStyle false 0 4257 4816 50 20 4283.5 4826 1 1 {0} 2 Resulting nurbs curve c1394789-448d-4011-a7a5-a9c725907596 true Curve Curve false 0 4337 4756 41 26 4359 4769.333 Curve length 321f9f82-5399-40aa-9b71-d9fded5fdfe2 true Length Length false 0 4337 4782 41 27 4359 4796 Curve domain a58dd5b1-6de2-4a22-a4c9-b6e6bb4ea3ef true Domain Domain false 0 4337 4809 41 27 4359 4822.667 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 b95d8a38-41aa-4736-824a-ba59abe8a164 93c43765-186a-4186-a1a9-e77f1750e486 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 65df7317-6c88-4fda-8fed-06e7d0688f08 6897aa6f-691a-4a9e-9c03-e572cb62cff8 b707e471-1378-4bfb-bd26-10f57a654a96 42201d77-7bc4-437d-baaf-c8290f91a477 5af3936c-a114-48c9-97e6-a71d4495fe1c dc8b9948-0b61-495f-bb5c-30271010864e 40fce33c-72c8-4b9e-b056-d06a290937b2 1d60a251-59c1-4374-b24a-8b67b3ca92c6 90f74d47-d623-4b80-a1f4-bde635cc690f 5dab1729-964c-4894-9f64-653823a0fdac 9ed44b3d-ce1f-4cd3-8d86-8bb364de6405 84e913bd-a348-462a-a472-eab93956daf2 beb498f4-7162-49c3-842b-a972d8ad71d9 b6d0afa1-3dec-42e7-9c93-de08ed9790f2 4d6b9775-db5a-464b-b178-f930dd568ce2 f9713408-b850-40b1-ac2d-56af5c03c800 0b20088e-1be7-424d-ba3b-c0fdd9da23ae 6717a073-4979-4ab7-8cca-94ec28dd910e 1e7003ad-1005-4315-9274-8625081eb42d 17740f5f-06e3-439c-b530-05a592105abb 86b9cd83-4404-471f-8e4d-246d772737f9 81e44a39-b7e9-4d3e-9423-d694b8c4cca2 d468ce15-4157-4fb6-a1ff-1a56b601419e 1dd517ad-ac6e-4fd9-a4ca-f152c12db602 cf4956f9-6a60-42d5-a932-0ea9a5d5ebed fbc67f80-f848-4cb1-9d59-3b6dda9d43d1 771bb5a4-0a8a-4a41-94bd-0e0b97b92304 51d57fa6-afda-4229-afb4-90a25c9c6b8a e4026ef5-c10c-464e-9823-6797237c75c6 a50ee4ed-1074-44c4-b42b-16f559369733 da9c2d00-64fe-44a7-9401-d326fcdf51fa 040c5d9b-07ad-4ae2-aad9-21a946416a98 9bd8b728-8787-4303-ac8e-82b11f531453 74c717fe-6a47-4ebf-9159-b915086fdaa4 bf3127fe-bbed-4fae-86c0-6819ff185956 c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 2077772c-8556-4e37-b44d-c0a0d5d206ff f12959c2-8cc4-4ce2-896d-7ff1a4aa1903 42 bbb3902c-2630-4a7b-b951-351a62cef558 Group 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers cf4956f9-6a60-42d5-a932-0ea9a5d5ebed true Number Number false 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 1 4293 4403 50 24 4318 4415.474 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true fbc67f80-f848-4cb1-9d59-3b6dda9d43d1 true Curve Curve false c1394789-448d-4011-a7a5-a9c725907596 1 4293 4445 50 24 4318 4457.146 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 7ed3dd99-417d-4769-a70b-0badf48c5649 true Line SDL Line SDL 4257 3101 122 64 4337 3133 Line start point a6313991-5fed-473e-8203-12902cc0ca23 true Start Start false c8092559-5804-445a-b39b-40959ab7673b 1 4259 3103 63 20 4300 3113 Line tangent (direction) c5b0bce5-96d7-447a-9757-7e6cc6e689aa true Direction Direction false c7834162-f8d6-4396-a928-93ded1c673be 1 4259 3123 63 20 4300 3133 1 1 {0} 0 0 1 Line length e968eda2-2fd9-48da-99dc-b168c5ce158c ABS(X) true Length Length false 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 1 4259 3143 63 20 4300 3153 1 1 {0} 1 Line segment 3fe9ed31-c050-492d-94ea-c80218f2b732 true Line Line false 0 4352 3103 25 60 4366 3133 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 8f08f378-fe83-47ee-ba70-f262beab4dd0 true Evaluate Length Evaluate Length 4246 2778 144 64 4320 2810 Curve to evaluate 0d9a8a58-4d0a-4434-a450-8e98b436a412 true Curve Curve false 441bf542-5076-4985-9937-0bb3a042b678 1 4248 2780 57 20 4278 2790 Length factor for curve evaluation a1aca457-48b1-4d2a-a0cc-9aa18d7bfcdf true Length Length false 0 4248 2800 57 20 4278 2810 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 1188ad96-f0f1-40b7-810f-9b69492635d4 true Normalized Normalized false 0 4248 2820 57 20 4278 2830 1 1 {0} true Point at the specified length 18921b3c-23a8-4466-aa33-85dea6f5193e true Point Point false 0 4335 2780 53 20 4363 2790 Tangent vector at the specified length aa8f58ce-50c4-4bf8-b24d-039a80bdcd54 true Tangent Tangent false 0 4335 2800 53 20 4363 2810 Curve parameter at the specified length 59b0d0c9-4175-42e9-936a-02e0b1b5547b true Parameter Parameter false 0 4335 2820 53 20 4363 2830 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 3dc26939-4bac-457f-9c7c-219b4dc86741 true Interpolate Interpolate 4255 1775 125 84 4322 1817 1 Interpolation points 9ce862c7-e83a-44f6-a90e-5d01a0ac4cb2 true Vertices Vertices false 75156aff-6128-4635-ba01-66f6e62c8b34 1 4257 1777 50 20 4283.5 1787 Curve degree 035ee24e-d16b-4cf3-b607-7bc2fd7f69d6 true Degree Degree false 0 4257 1797 50 20 4283.5 1807 1 1 {0} 1 Periodic curve 280d1a76-ca69-4ee8-9b1c-a3fce38ab5c9 true Periodic Periodic false 0 4257 1817 50 20 4283.5 1827 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 9bf7f1ee-f145-4fe2-beef-c59418629ac7 true KnotStyle KnotStyle false 0 4257 1837 50 20 4283.5 1847 1 1 {0} 2 Resulting nurbs curve 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c true Curve Curve false 0 4337 1777 41 26 4359 1790.333 Curve length 38bf6ac5-4357-469b-9bba-7bba715cb5d1 true Length Length false 0 4337 1803 41 27 4359 1817 Curve domain 7a5c3ecf-7823-4983-873e-ab2b1c6c868c true Domain Domain false 0 4337 1830 41 27 4359 1843.667 dde71aef-d6ed-40a6-af98-6b0673983c82 Nurbs Curve Construct a nurbs curve from control points. true 9b8fe626-a4bb-4fca-8d8b-ac2298cbf3cb true Nurbs Curve Nurbs Curve 4259 4672 118 64 4319 4704 1 Curve control points 2af9f5bc-8bea-48f0-8d9a-d37a5ba2a29f true Vertices Vertices false c8092559-5804-445a-b39b-40959ab7673b 1 4261 4674 43 20 4284 4684 Curve degree e692fbe6-a99c-4693-9a36-98b14d2f9d42 true Degree Degree false 0 4261 4694 43 20 4284 4704 1 1 {0} 3 Periodic curve b39e02b3-360a-4615-b920-7d6142b9ef32 true Periodic Periodic false 0 4261 4714 43 20 4284 4724 1 1 {0} false Resulting nurbs curve 901accb7-a63e-4aad-ad0b-1abd083399ab true Curve Curve false 0 4334 4674 41 20 4356 4684 Curve length e999b44b-5986-4917-a835-77c4f9bb1c4a true Length Length false 0 4334 4694 41 20 4356 4704 Curve domain 7d47fdce-c93c-4e8b-b930-65a7b9d2c548 true Domain Domain false 0 4334 4714 41 20 4356 4724 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 771bb5a4-0a8a-4a41-94bd-0e0b97b92304 true Relative Differences Relative Differences 4254 4259 128 28 4307 4273 1 List of data to operate on (numbers or points or vectors allowed) 2e382b39-db26-4f00-ad60-867949e375ae true Values Values false c1cbf3cc-c305-48cc-a958-e9cacfba5960 1 4256 4261 36 24 4275.5 4273 1 Differences between consecutive items 52a4cb5e-e88f-43e5-bb41-82eb4d03ae2c true Differenced Differenced false 0 4322 4261 58 24 4352.5 4273 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6fb580be-4b7e-48e0-a5cf-431967be43a9 true Relay false 65383476-e61d-4ddb-9403-69c36989070f 1 4298 6240 40 16 4318 6248 ab14760f-87a6-462e-b481-4a2c26a9a0d7 Derivatives Evaluate the derivatives of a curve at a specified parameter. true 077563a1-d2cf-43fe-a93d-642285cd95b7 true Derivatives Derivatives 4226 -9539 117 144 4296 -9467 2 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 7 fbac3e32-f100-4292-8692-77240a42fd1a 16ef3e75-e315-4899-b531-d3166b42dac9 16ef3e75-e315-4899-b531-d3166b42dac9 16ef3e75-e315-4899-b531-d3166b42dac9 16ef3e75-e315-4899-b531-d3166b42dac9 16ef3e75-e315-4899-b531-d3166b42dac9 16ef3e75-e315-4899-b531-d3166b42dac9 Curve to evaluate c5ce250c-64e3-46c4-be52-06c57f3ae50e true Curve Curve false 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 1 4228 -9537 53 70 4256 -9502 Parameter on curve domain to evaluate 6da23971-dde5-4d70-8a0c-4a507c037d78 true Parameter Parameter false 72571f4d-e390-4273-afe8-daa1b335cb89 1 4228 -9467 53 70 4256 -9432 Point on curve at {t} 95bfb75e-deb2-41b2-ba5e-9f8b1037d613 true Point Point false 0 4311 -9537 30 20 4327.5 -9527 First curve derivative at t (Velocity) c9af63c9-0143-479e-9052-49ae8662e1b1 true false First derivative 1 false 0 4311 -9517 30 20 4327.5 -9507 Second curve derivative at t (Acceleration) 96867ac7-0810-4a7b-b16e-65dfb34d3ac7 true false Second derivative 2 false 0 4311 -9497 30 20 4327.5 -9487 Third curve derivative at t (Jolt) 42ee3241-4c5c-463a-b0d9-dd12d62c2293 true false Third derivative 3 false 0 4311 -9477 30 20 4327.5 -9467 Fourth curve derivative at t (Jounce) 533714a3-b663-4971-b5e9-26bce2a7de5c true false Fourth derivative 4 false 0 4311 -9457 30 20 4327.5 -9447 Fifth curve derivative at t 8a09c8bb-c54e-4691-8429-43124dd1c8b3 true false Fifth derivative 5 false 0 4311 -9437 30 20 4327.5 -9427 Sixth curve derivative at t b52f3636-0270-4109-8b69-fa9470b344cd true false Sixth derivative 6 false 0 4311 -9417 30 20 4327.5 -9407 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true b6d0afa1-3dec-42e7-9c93-de08ed9790f2 true Create Material Create Material 4246 5000 144 104 4330 5052 Colour of the diffuse channel e2ff4e85-df78-45d2-bba7-7721635df2c5 true Diffuse Diffuse false 0 4248 5002 67 20 4283 5012 1 1 {0} 255;247;247;247 Colour of the specular highlight 389e0ea6-4a20-40c9-a249-fa446921528d true Specular Specular false 0 4248 5022 67 20 4283 5032 1 1 {0} 255;0;255;255 Emissive colour of the material 6f17d147-73f0-4c6e-aca7-231c42be2227 true Emission Emission false 0 4248 5042 67 20 4283 5052 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent a6119520-e999-41f2-84c5-06f39b44ca96 true Transparency Transparency false 0 4248 5062 67 20 4283 5072 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine f9887e31-79e0-4d94-a182-2a888112f088 true Shine Shine false 0 4248 5082 67 20 4283 5092 1 1 {0} 100 Resulting material 6a9f7cab-703c-4616-a796-ebccc137552c true Material Material false 0 4345 5002 43 100 4368 5052 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 4d6b9775-db5a-464b-b178-f930dd568ce2 true Custom Preview Custom Preview 4277 4929 82 44 4345 4951 Geometry to preview true 6f52bd76-d249-4e5c-a489-b3503b532c14 true Geometry Geometry false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4279 4931 51 20 4306 4941 The material override 792abb0c-57ae-4335-8671-0166a55e35bb true Material Material false 6a9f7cab-703c-4616-a796-ebccc137552c 1 4279 4951 51 20 4306 4961 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 84e913bd-a348-462a-a472-eab93956daf2 true Create Material Create Material 4246 7263 144 104 4330 7315 Colour of the diffuse channel 22e1a45c-bb8a-4800-aab5-ef60f9829b69 true Diffuse Diffuse false 0 4248 7265 67 20 4283 7275 1 1 {0} 255;176;176;176 Colour of the specular highlight 9233dd38-b5f3-4109-8975-987c7ae940b3 true Specular Specular false 0 4248 7285 67 20 4283 7295 1 1 {0} 255;0;255;255 Emissive colour of the material 07405682-f855-4989-8549-b94d930c00a3 true Emission Emission false 0 4248 7305 67 20 4283 7315 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 97f19c8e-e8a2-41d1-9c98-81c1b160b94c true Transparency Transparency false 0 4248 7325 67 20 4283 7335 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine ef7f93e7-3f0d-469b-862d-f8aca466008d true Shine Shine false 0 4248 7345 67 20 4283 7355 1 1 {0} 100 Resulting material 350a76f4-71b7-4b5e-854c-31a2ecaf6ee6 true Material Material false 0 4345 7265 43 100 4368 7315 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true beb498f4-7162-49c3-842b-a972d8ad71d9 true Custom Preview Custom Preview 4277 7202 82 44 4345 7224 Geometry to preview true 8666d71b-9d2f-4e91-8d8a-210217567fa5 true Geometry Geometry false 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 1 4279 7204 51 20 4306 7214 The material override 62dec059-7971-4a48-932a-ffe71052b16a true Material Material false 350a76f4-71b7-4b5e-854c-31a2ecaf6ee6 1 4279 7224 51 20 4306 7234 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true f9713408-b850-40b1-ac2d-56af5c03c800 true Create Material Create Material 4246 4550 144 104 4330 4602 Colour of the diffuse channel efb4e180-8efc-4284-8299-494c3de6e9f2 true Diffuse Diffuse false 0 4248 4552 67 20 4283 4562 1 1 {0} 255;222;222;222 Colour of the specular highlight 197f2502-11d7-49f9-9ca6-ac492a4514bf true Specular Specular false 0 4248 4572 67 20 4283 4582 1 1 {0} 255;0;255;255 Emissive colour of the material e9dc0475-0054-474e-9957-8202366a4204 true Emission Emission false 0 4248 4592 67 20 4283 4602 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 5cb49fe6-cfb0-49f8-bbaf-411d66898b82 true Transparency Transparency false 0 4248 4612 67 20 4283 4622 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 705fb819-8775-4ed6-9b93-8645fbc5e6ed true Shine Shine false 0 4248 4632 67 20 4283 4642 1 1 {0} 100 Resulting material fd31e66a-00fc-487d-8951-8d93283f87df true Material Material false 0 4345 4552 43 100 4368 4602 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 0b20088e-1be7-424d-ba3b-c0fdd9da23ae true Custom Preview Custom Preview 4277 4488 82 44 4345 4510 Geometry to preview true ee9a19f8-4064-4d39-866c-85da768d1adc true Geometry Geometry false fbc67f80-f848-4cb1-9d59-3b6dda9d43d1 1 4279 4490 51 20 4306 4500 The material override 0df5bf50-74e4-431c-b6d2-cbaada924eb5 true Material Material false fd31e66a-00fc-487d-8951-8d93283f87df 1 4279 4510 51 20 4306 4520 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 506eabeb-a640-43fd-9af7-b2232e3fa71b true Create Material Create Material 4246 2976 144 104 4330 3028 Colour of the diffuse channel 3e896be4-47f0-40cd-b969-157ca5690c40 true Diffuse Diffuse false 0 4248 2978 67 20 4283 2988 1 1 {0} 255;240;240;240 Colour of the specular highlight ad00ff37-039f-4c69-a05c-2bcf6543f28a true Specular Specular false 0 4248 2998 67 20 4283 3008 1 1 {0} 255;0;255;255 Emissive colour of the material 56dcd222-a962-4e25-a153-d0c165d4a30b true Emission Emission false 0 4248 3018 67 20 4283 3028 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 0082b394-bd76-4cdb-9ec8-3851d681e34c true Transparency Transparency false 0 4248 3038 67 20 4283 3048 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 4394475e-dcc9-4a08-89ce-7fe1812de379 true Shine Shine false 0 4248 3058 67 20 4283 3068 1 1 {0} 100 Resulting material 6fa0a1de-70c2-4743-8be9-56400b02e090 true Material Material false 0 4345 2978 43 100 4368 3028 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true e86ea7ed-38b8-40b5-bb42-623a7c8059c6 true Custom Preview Custom Preview 4277 2914 82 44 4345 2936 Geometry to preview true 23652758-9150-4810-9501-94d6bb7427a5 true Geometry Geometry false 3fe9ed31-c050-492d-94ea-c80218f2b732 1 4279 2916 51 20 4306 2926 The material override f9d0f304-71ba-4d15-b680-4098daee205f true Material Material false 6fa0a1de-70c2-4743-8be9-56400b02e090 1 4279 2936 51 20 4306 2946 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true a6d884fb-514f-42c3-86a9-71ade0d41a40 true Create Material Create Material 4246 1651 144 104 4330 1703 Colour of the diffuse channel 1d225664-df37-44d8-8293-fc65fcfaa053 true Diffuse Diffuse false 0 4248 1653 67 20 4283 1663 1 1 {0} 255;214;214;214 Colour of the specular highlight 55624669-9d88-4e19-8a54-d6b340b905ea true Specular Specular false 0 4248 1673 67 20 4283 1683 1 1 {0} 255;0;255;255 Emissive colour of the material 07248625-ab72-43b8-bef8-3badfeb52fb2 true Emission Emission false 0 4248 1693 67 20 4283 1703 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent ee9332dd-01f9-4de5-83cd-cf8d3516a179 true Transparency Transparency false 0 4248 1713 67 20 4283 1723 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 2e68d8ff-6779-4688-ad53-ea22a7ee0960 true Shine Shine false 0 4248 1733 67 20 4283 1743 1 1 {0} 100 Resulting material ef37cf89-ca4c-487b-9404-0d7f2ac5f894 true Material Material false 0 4345 1653 43 100 4368 1703 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true b379a0ac-4016-4778-8d99-3b57d052a769 true Custom Preview Custom Preview 4277 1591 82 44 4345 1613 Geometry to preview true 5dd6a210-e7ec-4d78-b804-a7f2c5699174 true Geometry Geometry false 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c 1 4279 1593 51 20 4306 1603 The material override 6d313118-895b-4546-9b3a-cd4b04e08f51 true Material Material false ef37cf89-ca4c-487b-9404-0d7f2ac5f894 1 4279 1613 51 20 4306 1623 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 1ceffb1c-921e-4c1d-ab03-e05135b9b5e0 true Line SDL Line SDL 4224 -10802 122 64 4304 -10770 Line start point 0c39c823-a263-4a95-b445-16304aeba6ec true Start Start false 75156aff-6128-4635-ba01-66f6e62c8b34 1 4226 -10800 63 20 4267 -10790 Line tangent (direction) 2614b05b-f2da-4a47-a084-b87ce2de0cc8 true Direction Direction false 42ee3241-4c5c-463a-b0d9-dd12d62c2293 1 4226 -10780 63 20 4267 -10770 1 1 {0} 0 0 1 Line length 562db1eb-3da9-4644-b300-679d6eabf7e0 -X true Length Length false 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 1 4226 -10760 63 20 4267 -10750 1 1 {0} 1 Line segment a51b0be6-aa0f-4bdd-a5e6-a7d1e03f729b true Line Line false 0 4319 -10800 25 60 4333 -10770 71b5b089-500a-4ea6-81c5-2f960441a0e8 PolyLine Create a polyline connecting a number of points. true 82046283-082e-419e-a05f-023d3a681021 true PolyLine PolyLine 4259 2675 118 44 4319 2697 1 Polyline vertex points f1fc21bf-11ce-4976-bb26-c53a6549a2c4 true Vertices Vertices false 75156aff-6128-4635-ba01-66f6e62c8b34 1 4261 2677 43 20 4284 2687 Close polyline 7a088eac-054c-4089-8375-2217cc10dcbd true Closed Closed false 0 4261 2697 43 20 4284 2707 1 1 {0} false Resulting polyline 812209f4-d890-44eb-8174-2bf48726e54c true Polyline Polyline false 0 4334 2677 41 40 4356 2697 afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true 41ca37bd-04a2-4730-a104-ccfdfebcb019 true Explode Explode 4250 2612 136 44 4317 2634 Curve to explode 93669a73-ddb7-4a6a-82e1-f3247b83dab9 true Curve Curve false 812209f4-d890-44eb-8174-2bf48726e54c 1 4252 2614 50 20 4278.5 2624 Recursive decomposition until all segments are atomic a3eca606-0c18-4bd5-83e4-e0bb1e60b1d6 true Recursive Recursive false 0 4252 2634 50 20 4278.5 2644 1 1 {0} true 1 Exploded segments that make up the base curve 1aa63b77-1b30-4cd2-9d7d-88d1999ec0d8 true Segments Segments false 0 4332 2614 52 20 4359.5 2624 1 Vertices of the exploded segments 51a45158-c586-46f6-88d2-01c79c67669f true Vertices Vertices false 0 4332 2634 52 20 4359.5 2644 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 60ca1502-c3ae-43e2-a2b8-1b1e238e0ab2 true 1 Curve Curve false 1aa63b77-1b30-4cd2-9d7d-88d1999ec0d8 1 4292 2568 53 24 4328 2580.144 6f93d366-919f-4dda-a35e-ba03dd62799b Sort List Sort a list of numeric keys. true baea9c8f-4e59-442d-b5b4-d125979bf466 true Sort List Sort List 4253 2454 130 44 4318 2476 2 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 8ec86459-bf01-4409-baee-174d0d2b13d0 2 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 8ec86459-bf01-4409-baee-174d0d2b13d0 1 List of sortable keys 27eb4fd4-9a74-4641-903e-0228f03308d8 true Keys Keys false 6fa53b1f-925f-4bf9-a5d6-e49a44647f48 1 4255 2456 48 20 4280.5 2466 1 Optional list of values to sort synchronously 0947c0bb-6fd7-465f-bd09-c7c651b3e131 true Values Values A Values A true 60ca1502-c3ae-43e2-a2b8-1b1e238e0ab2 1 4255 2476 48 20 4280.5 2486 1 Sorted keys dca0fac6-4a1f-4a24-b1b7-b8076f3d8949 true Keys Keys false 0 4333 2456 48 20 4358.5 2466 1 Synchronous values in Values A 020d407e-5a0d-434c-8f36-8ad74f04be54 true Values Values A Values A false 0 4333 2476 48 20 4358.5 2486 c75b62fa-0a33-4da7-a5bd-03fd0068fd93 Length Measure the length of a curve. true 12c0d088-f108-4075-bb85-315d570d97ea true Length Length 4266 2518 104 28 4316 2532 Curve to measure 396fc4e4-3161-49f2-bcd1-3c3c12aaf411 true Curve Curve false 60ca1502-c3ae-43e2-a2b8-1b1e238e0ab2 1 4268 2520 33 24 4286 2532 Curve length 6fa53b1f-925f-4bf9-a5d6-e49a44647f48 true Length Length false 0 4331 2520 37 24 4351 2532 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. true 41093a5b-4ba4-4dfb-a5f8-1bd792353689 true List Item List Item 4281 1977 74 64 4329 2009 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list f4a956fe-c4c8-4faa-ab37-46863b6ab8f7 true List List false dca0fac6-4a1f-4a24-b1b7-b8076f3d8949 1 4283 1979 31 20 4300 1989 Item index 795f3412-014f-42a0-bb3e-68ed9d6519c3 true Index Index false 0 4283 1999 31 20 4300 2009 1 1 {0} 0 Wrap index to list bounds 94795b14-df1b-4254-875b-0b0c0f2f5fed true Wrap Wrap false 0 4283 2019 31 20 4300 2029 1 1 {0} false Item at {i'} 4d84ba38-35a7-4f3d-b366-8ad8331ebb7c true false Item i false 0 4344 1979 9 60 4350 2009 6b1bd8b2-47a4-4aa6-a471-3fd91c62a486 Dot Display Draw a collection of coloured dots true false 39d1ba4f-7fac-4207-98a7-67ceea5ef36c true Dot Display Dot Display 4276 1878 83 64 4345 1910 Dot location true 00b953b9-3188-468d-93c1-becbe89ee898 true Point Point false 75156aff-6128-4635-ba01-66f6e62c8b34 1 4278 1880 52 20 4313.5 1890 Dot colour f449e9ac-4676-4153-8107-1b77272d00ba true Colour Colour false 0 4278 1900 52 20 4313.5 1910 1 1 {0} 255;194;194;194 Dot size 37153672-679d-499c-85a8-bb1e26d25c8b X/2 true Size Size false 4d84ba38-35a7-4f3d-b366-8ad8331ebb7c 1 4278 1920 52 20 4313.5 1930 1 1 {0} 1 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 42ced415-8369-4764-bd84-2655a9abcdd0 true Create Material Create Material 4213 -10926 144 104 4297 -10874 Colour of the diffuse channel 23526173-3b15-42d7-a471-0759eadad650 true Diffuse Diffuse false 0 4215 -10924 67 20 4250 -10914 1 1 {0} 255;232;232;232 Colour of the specular highlight 428de005-cd25-40af-8285-d2bd9252f5b3 true Specular Specular false 0 4215 -10904 67 20 4250 -10894 1 1 {0} 255;0;255;255 Emissive colour of the material f9a525b9-eab9-4b11-9c82-5a6d53d7cba0 true Emission Emission false 0 4215 -10884 67 20 4250 -10874 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 7a04b174-5152-4d1e-9872-a9491f98995c true Transparency Transparency false 0 4215 -10864 67 20 4250 -10854 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 313e8f5e-fddb-487f-a280-06859fa8fad6 true Shine Shine false 0 4215 -10844 67 20 4250 -10834 1 1 {0} 100 Resulting material d7c0515a-62aa-41bd-a4bf-d5c02119a024 true Material Material false 0 4312 -10924 43 100 4335 -10874 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 97be2d03-c12a-4c13-bcf1-179c5148fad7 true Custom Preview Custom Preview 4244 -10989 82 44 4312 -10967 Geometry to preview true 5c229870-d626-4d8a-8a53-2566190c6b40 true Geometry Geometry false a51b0be6-aa0f-4bdd-a5e6-a7d1e03f729b 1 4246 -10987 51 20 4273 -10977 The material override adb526d8-1109-4c75-bc7f-8b1a63d26467 true Material Material false d7c0515a-62aa-41bd-a4bf-d5c02119a024 1 4246 -10967 51 20 4273 -10957 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true f9312303-3ba0-4d12-bf2a-4df8dd780ec7 true Evaluate Length Evaluate Length 4213 -11073 144 64 4287 -11041 Curve to evaluate d8e6535f-993b-441a-8f18-57c297ab434a true Curve Curve false a51b0be6-aa0f-4bdd-a5e6-a7d1e03f729b 1 4215 -11071 57 20 4245 -11061 Length factor for curve evaluation ebf67458-8b7c-48e4-aab4-2ce5c99336d1 true Length Length false 0 4215 -11051 57 20 4245 -11041 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 2e2b937b-fe29-4e76-8bf1-327ada239851 true Normalized Normalized false 0 4215 -11031 57 20 4245 -11021 1 1 {0} true Point at the specified length 4232e5bd-4b43-4b68-86a3-1efca2b2863e true Point Point false 0 4302 -11071 53 20 4330 -11061 Tangent vector at the specified length 5371f1e6-105b-42b3-9ca4-0f9e0a7f71f2 true Tangent Tangent false 0 4302 -11051 53 20 4330 -11041 Curve parameter at the specified length c00145c8-bbdc-48a3-9c41-13e1f360e786 true Parameter Parameter false 0 4302 -11031 53 20 4330 -11021 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true a0d0df39-1b14-428e-bf37-398cec030283 true Interpolate Interpolate 4222 -11177 125 84 4289 -11135 1 Interpolation points 151139fa-fa76-48be-87f4-c5c527e4e1b1 true Vertices Vertices false 4232e5bd-4b43-4b68-86a3-1efca2b2863e 1 4224 -11175 50 20 4250.5 -11165 Curve degree 6f60e97f-e266-4e90-ad4b-9550433bbb96 true Degree Degree false 0 4224 -11155 50 20 4250.5 -11145 1 1 {0} 3 Periodic curve 1dc9dddf-b84b-433d-aa60-521d302ee78d true Periodic Periodic false 0 4224 -11135 50 20 4250.5 -11125 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) d6c6ffbd-fd59-4f06-834c-dfdda0e3cde9 true KnotStyle KnotStyle false 0 4224 -11115 50 20 4250.5 -11105 1 1 {0} 2 Resulting nurbs curve ffa36bc2-d3b2-4655-954c-b3bb1caadc80 true Curve Curve false 0 4304 -11175 41 26 4326 -11161.67 Curve length a073906c-f67b-4209-925d-0db2835809d1 true Length Length false 0 4304 -11149 41 27 4326 -11135 Curve domain a63f1658-8db8-4c8f-a21f-5e41ed15efe3 true Domain Domain false 0 4304 -11122 41 27 4326 -11108.33 7376fe41-74ec-497e-b367-1ffe5072608b Curvature Graph Draws Rhino Curvature Graphs. true 6717a073-4979-4ab7-8cca-94ec28dd910e true Curvature Graph Curvature Graph 4277 7081 71 64 4334 7113 Curve for Curvature graph display true 726626fc-0121-4a36-ad40-950aa805020d true Curve Curve false 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 1 4279 7083 40 20 4300.5 7093 Sampling density of the Graph e4e6c4d1-2571-43ab-bafa-ffc8e537aa7e true Density Density false 0 4279 7103 40 20 4300.5 7113 1 1 {0} 1 Scale of graph c4ca2177-0ce3-417f-aa30-2a48677eaa94 true Scale Scale false 1e7003ad-1005-4315-9274-8625081eb42d 1 4279 7123 40 20 4300.5 7133 1 1 {0} 105 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 1e7003ad-1005-4315-9274-8625081eb42d true Digit Scroller false 0 12 11 87.0 4193 7171 250 20 4193.743 7171.873 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c7834162-f8d6-4396-a928-93ded1c673be true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4298 3183 40 16 4318 3191 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true d49b543b-255e-4b1e-afad-506fdeb4a087 true Remap Numbers Remap Numbers 4260 5430 115 64 4315 5462 Value to remap 448a0515-aaa4-4e34-bf65-8331febff788 true Value Value false aacff86f-b554-4395-9c67-12ea7491563a 1 4262 5432 38 20 4282.5 5442 Source domain 2af67ffd-d96e-4eed-825b-992ce2c4715f true Source Source false 82ffcc9e-d4c9-4de1-a8ad-4da568b3d8c7 1 4262 5452 38 20 4282.5 5462 1 1 {0} 0 1 Target domain 13280d18-8cc4-4627-a46f-9fe1951b318f true Target Target false 0 4262 5472 38 20 4282.5 5482 1 1 {0} 0 1 Remapped number a321ca1e-018e-41d6-8820-b2a1c8ac90ab true Mapped Mapped false 0 4330 5432 43 30 4353 5447 Remapped and clipped number 91e0b348-1054-48d9-bf59-ae8461fa1fac true Clipped Clipped false 0 4330 5462 43 30 4353 5477 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 9033362e-88b7-4ca5-82ec-e83b690b9e1f true Bounds Bounds 4257 5512 122 28 4321 5526 1 Numbers to include in Bounds 516ce2d0-b7ae-47b4-81cc-cdb8cfe44911 true Numbers Numbers false aacff86f-b554-4395-9c67-12ea7491563a 1 4259 5514 47 24 4284 5526 Numeric Domain between the lowest and highest numbers in {N} 82ffcc9e-d4c9-4de1-a8ad-4da568b3d8c7 true Domain Domain false 0 4336 5514 41 24 4358 5526 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c d49b543b-255e-4b1e-afad-506fdeb4a087 9033362e-88b7-4ca5-82ec-e83b690b9e1f c3830b7d-0858-410d-89db-9af833da8bf5 501fc599-56aa-405b-ad58-777fa1c4d11c aacff86f-b554-4395-9c67-12ea7491563a 40fce33c-72c8-4b9e-b056-d06a290937b2 47a743e6-2557-42d2-a2c1-210a6a941e82 476ce713-0dae-4d18-804a-2b7b11658f2a d8c67dd0-43fb-43d1-9d5a-230f2f0d1341 16 e9edf9da-696f-47bd-a5e5-79c7729f8e89 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object aacff86f-b554-4395-9c67-12ea7491563a true Relay false 6fb580be-4b7e-48e0-a5cf-431967be43a9 1 4298 5559 40 16 4318 5567 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 501fc599-56aa-405b-ad58-777fa1c4d11c true Relay false 95926409-f740-467c-80b4-734f46eb4123 1 4298 5203 40 16 4318 5211 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 47a743e6-2557-42d2-a2c1-210a6a941e82 true Multiplication Multiplication 4277 5231 82 44 4308 5253 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication dcbd1da4-8f69-4b06-8a33-0eecc767e991 true A A true f6322f85-aed1-4c85-95a8-8d761a4a73be 1 4279 5233 14 20 4287.5 5243 Second item for multiplication 06fe588d-0bb9-4eda-9323-581799b3334d true B B true d8c67dd0-43fb-43d1-9d5a-230f2f0d1341 1 4279 5253 14 20 4287.5 5263 Result of multiplication 95926409-f740-467c-80b4-734f46eb4123 true Result Result false 0 4323 5233 34 40 4341.5 5253 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true af01224e-c0e0-4809-ad30-4e4bd74d845a true Remap Numbers Remap Numbers 4260 3465 115 64 4315 3497 Value to remap 0dd9c290-89b3-4f7f-b7f7-fea0ad374ec8 true Value Value false 3b624a89-a10e-4423-8d23-23c665342bea 1 4262 3467 38 20 4282.5 3477 Source domain 565f7896-5376-4be8-9b87-65aabf7ca350 true Source Source false 4dafdc57-390a-45b4-9dad-94993250d3c0 1 4262 3487 38 20 4282.5 3497 1 1 {0} 0 1 Target domain 8f2c29a0-d826-4f38-bc8c-1ca957ffc790 true Target Target false 0 4262 3507 38 20 4282.5 3517 1 1 {0} -1 1 Remapped number 1900d5cb-3ebe-418f-b5c5-34f4f1f2980f true Mapped Mapped false 0 4330 3467 43 30 4353 3482 Remapped and clipped number 747cdfe4-2981-48ee-b96b-401136eee8d9 true Clipped Clipped false 0 4330 3497 43 30 4353 3512 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 2e1813eb-afd7-4c67-ae5d-0aea5806a643 true Bounds Bounds 4257 3548 122 28 4321 3562 1 Numbers to include in Bounds 2c788be9-e936-471d-8ef8-12877fe1813c true Numbers Numbers false 3b624a89-a10e-4423-8d23-23c665342bea 1 4259 3550 47 24 4284 3562 Numeric Domain between the lowest and highest numbers in {N} 4dafdc57-390a-45b4-9dad-94993250d3c0 true Domain Domain false 0 4336 3550 41 24 4358 3562 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c af01224e-c0e0-4809-ad30-4e4bd74d845a 2e1813eb-afd7-4c67-ae5d-0aea5806a643 c3830b7d-0858-410d-89db-9af833da8bf5 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 3b624a89-a10e-4423-8d23-23c665342bea 1dfb13cb-b934-40bc-a126-3ef4f67aa6cb 4a81f039-0b6b-406b-837f-1176119811ff b565abfe-af28-4a3d-8aa5-8aa19a0a05d7 15 5365386e-73e6-497c-b44a-34b85df3bb28 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3b624a89-a10e-4423-8d23-23c665342bea true Relay false a50ee4ed-1074-44c4-b42b-16f559369733 1 4298 3593 40 16 4318 3601 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 true Relay false 42398358-cfbe-4f21-96e5-282d62ee7e58 1 4298 3226 40 16 4318 3234 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 4a81f039-0b6b-406b-837f-1176119811ff true Multiplication Multiplication 4277 3265 82 44 4308 3287 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication b76c491c-1771-4316-82a4-113c7bcdbb11 true A A true 519c9f7f-5560-40d4-af0b-8be47a07ff02 1 4279 3267 14 20 4287.5 3277 Second item for multiplication 2ed48d06-e4d0-425d-975d-12021826cd1f true B B true b565abfe-af28-4a3d-8aa5-8aa19a0a05d7 1 4279 3287 14 20 4287.5 3297 Result of multiplication 42398358-cfbe-4f21-96e5-282d62ee7e58 true Result Result false 0 4323 3267 34 40 4341.5 3287 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e82225cb-a1a5-4ad3-b28d-40b2efc10203 true Expression Expression 4221 6689 194 28 4321 6703 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable b5f45c4f-f8dd-49ac-82bc-318d09dd2a13 true Variable O O true 4ae5300f-9b3f-4375-87a5-52ce195ec59e 1 4223 6691 14 24 4231.5 6703 Result of expression 49fcf7f9-8ddd-41ec-a183-2131adb07f3b true Result false 0 4404 6691 9 24 4410 6703 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 47309ff2-7be5-4758-9fcf-1729ec8314b8 true Panel false 1 49fcf7f9-8ddd-41ec-a183-2131adb07f3b 1 Double click to edit panel content… 4225 6403 185 271 0 0 0 4225.832 6403.893 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 98efd460-a431-49c8-aded-a62a77c59e5f true Relay false 47309ff2-7be5-4758-9fcf-1729ec8314b8 1 4298 6380 40 16 4318 6388 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 4ae5300f-9b3f-4375-87a5-52ce195ec59e true Relay false 3654a9c9-a7f1-48df-8fa7-73ed1663a837 1 4298 6736 40 16 4318 6744 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e82225cb-a1a5-4ad3-b28d-40b2efc10203 47309ff2-7be5-4758-9fcf-1729ec8314b8 98efd460-a431-49c8-aded-a62a77c59e5f 4ae5300f-9b3f-4375-87a5-52ce195ec59e 4 929e2d4c-e84d-4d02-91ac-5e7752c650a1 Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 17740f5f-06e3-439c-b530-05a592105abb true Expression Expression 4221 5989 194 28 4321 6003 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable febdeb41-753b-4759-9155-f4ee00efa396 true Variable O O true d468ce15-4157-4fb6-a1ff-1a56b601419e 1 4223 5991 14 24 4231.5 6003 Result of expression 6914912a-bdac-4a4d-a2db-868eed728741 true Result false 0 4404 5991 9 24 4410 6003 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 86b9cd83-4404-471f-8e4d-246d772737f9 true Panel false 0 6914912a-bdac-4a4d-a2db-868eed728741 1 Double click to edit panel content… 4218 5704 200 271 0 0 0 4218.899 5704.656 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 81e44a39-b7e9-4d3e-9423-d694b8c4cca2 true Relay false 86b9cd83-4404-471f-8e4d-246d772737f9 1 4298 5661 40 16 4318 5669 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d468ce15-4157-4fb6-a1ff-1a56b601419e true Relay false 6fb580be-4b7e-48e0-a5cf-431967be43a9 1 4298 6036 40 16 4318 6044 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 17740f5f-06e3-439c-b530-05a592105abb 86b9cd83-4404-471f-8e4d-246d772737f9 81e44a39-b7e9-4d3e-9423-d694b8c4cca2 d468ce15-4157-4fb6-a1ff-1a56b601419e 4 1dd517ad-ac6e-4fd9-a4ca-f152c12db602 Group c75b62fa-0a33-4da7-a5bd-03fd0068fd93 Length Measure the length of a curve. true e73e0f67-8dcc-4b89-a973-43217655652f true Length Length 4266 7386 104 28 4316 7400 Curve to measure 23a61651-ddf4-4a20-9f47-60d37a73cc53 true Curve Curve false 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 1 4268 7388 33 24 4286 7400 Curve length db26abf6-6a27-458b-8296-41880794893f true Length Length false 0 4331 7388 37 24 4351 7400 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 5f2c0952-b956-47bf-90b0-5d5a4cb6cee6 true Multiplication Multiplication 4277 5338 82 44 4308 5360 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication d1b16463-773d-4691-8d64-4a9105876f41 true A A true 476ce713-0dae-4d18-804a-2b7b11658f2a 1 4279 5340 14 20 4287.5 5350 Second item for multiplication 3eb60ebd-243d-4aaf-a6c6-959f8ca48089 true B B true a321ca1e-018e-41d6-8820-b2a1c8ac90ab 1 4279 5360 14 20 4287.5 5370 Result of multiplication f6322f85-aed1-4c85-95a8-8d761a4a73be true Result Result false 0 4323 5340 34 40 4341.5 5360 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 51d57fa6-afda-4229-afb4-90a25c9c6b8a true Relay false 6fb580be-4b7e-48e0-a5cf-431967be43a9 1 4298 4369 40 16 4318 4377 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true e4026ef5-c10c-464e-9823-6797237c75c6 true Replace Nulls Replace Nulls 4250 4307 136 44 4336 4329 1 Items to test for null 1d2318fa-82e4-419f-9eeb-557eecb11207 true Items Items false 51d57fa6-afda-4229-afb4-90a25c9c6b8a 1 4252 4309 69 20 4288 4319 1 Items to replace nulls with a2b6febe-d6f0-409c-8289-483e5613c3fc true Replacements Replacements false 0 4252 4329 69 20 4288 4339 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls c1cbf3cc-c305-48cc-a958-e9cacfba5960 true Items Items false 0 4351 4309 33 20 4369 4319 Number of items replaced e42eb5df-9832-4e87-8857-c8e16a150234 true Count Count false 0 4351 4329 33 20 4369 4339 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a50ee4ed-1074-44c4-b42b-16f559369733 true Relay false 52a4cb5e-e88f-43e5-bb41-82eb4d03ae2c 1 4298 4222 40 16 4318 4230 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph da9c2d00-64fe-44a7-9401-d326fcdf51fa true Quick Graph Quick Graph false 0 040c5d9b-07ad-4ae2-aad9-21a946416a98 1 4243 4022 150 150 4243.828 4022.635 0 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 040c5d9b-07ad-4ae2-aad9-21a946416a98 true Relay false a50ee4ed-1074-44c4-b42b-16f559369733 1 4298 4186 40 16 4318 4194 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 9bd8b728-8787-4303-ac8e-82b11f531453 true Expression Expression 4221 3935 194 28 4321 3949 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f77b6382-e1b3-4533-818e-1ddfd58b503f true Variable O O true c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 1 4223 3937 14 24 4231.5 3949 Result of expression 2b10f4b0-51cf-4386-8d0f-6069e3234145 true Result false 0 4404 3937 9 24 4410 3949 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 74c717fe-6a47-4ebf-9159-b915086fdaa4 true Panel false 0 2b10f4b0-51cf-4386-8d0f-6069e3234145 1 Double click to edit panel content… 4218 3652 200 271 0 0 0 4218.241 3652.615 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object bf3127fe-bbed-4fae-86c0-6819ff185956 true Relay false 74c717fe-6a47-4ebf-9159-b915086fdaa4 1 4298 3634 40 16 4318 3642 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 true Relay false 040c5d9b-07ad-4ae2-aad9-21a946416a98 1 4298 3982 40 16 4318 3990 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9bd8b728-8787-4303-ac8e-82b11f531453 74c717fe-6a47-4ebf-9159-b915086fdaa4 bf3127fe-bbed-4fae-86c0-6819ff185956 c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 da9c2d00-64fe-44a7-9401-d326fcdf51fa 040c5d9b-07ad-4ae2-aad9-21a946416a98 6 2077772c-8556-4e37-b44d-c0a0d5d206ff Group ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true e5bb3651-4fcd-4da1-9d37-64323a4cbaec true Multiplication Multiplication 4277 3366 82 44 4308 3388 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 233b5d7d-5e9c-4aab-a358-11af797d62ec true A A true 1900d5cb-3ebe-418f-b5c5-34f4f1f2980f 1 4279 3368 14 20 4287.5 3378 Second item for multiplication bd9787ef-65bc-41d8-b5c7-68871373c4a5 true B B true fb8adc2b-49b7-409f-930c-e67bde1e9980 1 4279 3388 14 20 4287.5 3398 Result of multiplication 519c9f7f-5560-40d4-af0b-8be47a07ff02 true Result Result false 0 4323 3368 34 40 4341.5 3388 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 441bf542-5076-4985-9937-0bb3a042b678 true Curve Curve false 3fe9ed31-c050-492d-94ea-c80218f2b732 1 4293 2865 50 24 4318 2877.582 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 75156aff-6128-4635-ba01-66f6e62c8b34 true Relay false 18921b3c-23a8-4466-aa33-85dea6f5193e 1 4298 2743 40 16 4318 2751 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 31ebe528-d55d-4dff-927d-a48736be9cc3 true Expression Expression 4221 2372 194 28 4321 2386 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 688ba6a6-9ee3-4856-8a10-8ab5b0316e87 true Variable O O true be799453-059d-4d40-b651-349c7cf77c9d 1 4223 2374 14 24 4231.5 2386 Result of expression 7388241d-d99f-4344-a537-5b48cc2edd76 true Result false 0 4404 2374 9 24 4410 2386 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8487c049-6563-42c2-982d-a3d473c55e0b true Panel false 0 7388241d-d99f-4344-a537-5b48cc2edd76 1 Double click to edit panel content… 4221 2089 194 271 0 0 0 4221.045 2089.177 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 34ec62fd-1b45-4131-8bb3-067f9ae32190 true Relay false 8487c049-6563-42c2-982d-a3d473c55e0b 1 4298 2071 40 16 4318 2079 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object be799453-059d-4d40-b651-349c7cf77c9d true Relay false dca0fac6-4a1f-4a24-b1b7-b8076f3d8949 1 4298 2417 40 16 4318 2425 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 31ebe528-d55d-4dff-927d-a48736be9cc3 8487c049-6563-42c2-982d-a3d473c55e0b 34ec62fd-1b45-4131-8bb3-067f9ae32190 be799453-059d-4d40-b651-349c7cf77c9d 4 3f3172f7-bff5-4e81-85a2-58943326f0a7 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true c9632403-1835-45bf-a8da-51dd473c2104 true Create Material Create Material 4213 -11301 144 104 4297 -11249 Colour of the diffuse channel 45fbcd4a-120c-4ab7-a1af-fe8c72e99a7a true Diffuse Diffuse false 0 4215 -11299 67 20 4250 -11289 1 1 {0} 255;207;207;207 Colour of the specular highlight 4b010761-a439-40ca-b8d2-6e3bc0c13526 true Specular Specular false 0 4215 -11279 67 20 4250 -11269 1 1 {0} 255;0;255;255 Emissive colour of the material 65184dab-7d0a-4e0b-bf79-ec0ca699b455 true Emission Emission false 0 4215 -11259 67 20 4250 -11249 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 970c9b9d-64e0-40f4-89b3-92360e324de7 true Transparency Transparency false 0 4215 -11239 67 20 4250 -11229 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 32bc5c00-d6c0-4aa6-a2d6-9b346f7c9cb6 true Shine Shine false 0 4215 -11219 67 20 4250 -11209 1 1 {0} 100 Resulting material 2e6dccc8-6177-4800-bea6-4ea4ba2b9f92 true Material Material false 0 4312 -11299 43 100 4335 -11249 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 3579a27a-9991-4bf3-94de-84223b4b0a72 true Custom Preview Custom Preview 4244 -11364 82 44 4312 -11342 Geometry to preview true 26eb909a-b46a-4478-9bb6-2fc20cf12003 true Geometry Geometry false ffa36bc2-d3b2-4655-954c-b3bb1caadc80 1 4246 -11362 51 20 4273 -11352 The material override fe342583-bcbf-4e07-b919-4db37b6d38b2 true Material Material false 2e6dccc8-6177-4800-bea6-4ea4ba2b9f92 1 4246 -11342 51 20 4273 -11332 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers f12959c2-8cc4-4ce2-896d-7ff1a4aa1903 true Digit Scroller false 0 12 11 256.0 4193 7045 250 20 4193.743 7045.877 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph b7462a41-d690-4e75-b5bb-082a0185ec77 true Quick Graph Quick Graph false 0 95bfb75e-deb2-41b2-ba5e-9f8b1037d613 1 4211 -9704 150 150 4211.097 -9703.828 -1 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 5e698680-d615-4e2a-aed9-fd28b0220a65 true Quick Graph Quick Graph false 0 c9af63c9-0143-479e-9052-49ae8662e1b1 1 4211 -9873 150 150 4211.097 -9872.828 -1 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph ca297271-f533-4d51-a8fc-bdb7b204740c true Quick Graph Quick Graph false 0 96867ac7-0810-4a7b-b16e-65dfb34d3ac7 1 4211 -10041 150 150 4211.097 -10040.35 -1 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 9e3117d6-b3b4-4adc-84f3-2835a988e21e true Quick Graph Quick Graph false 0 42ee3241-4c5c-463a-b0d9-dd12d62c2293 1 4211 -10210 150 150 4211.097 -10209.35 -1 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph c8c317c7-391f-4b40-93d8-4c1994caecef true Quick Graph Quick Graph false 0 533714a3-b663-4971-b5e9-26bce2a7de5c 1 4210 -10380 150 150 4210.854 -10379.08 -1 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 3b490da6-b955-4f9c-bddc-980384007a01 true Quick Graph Quick Graph false 0 8a09c8bb-c54e-4691-8429-43124dd1c8b3 1 4210 -10549 150 150 4210.854 -10548.86 -1 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph c2fc9a4e-ff43-4e6b-ba22-4562fab58558 true Quick Graph Quick Graph false 0 b52f3636-0270-4109-8b69-fa9470b344cd 1 4210 -10718 150 150 4210.854 -10717.6 -1 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 2 Curve Curve false 105dd2da-6e8a-4d38-bd7f-08d0903e13f6 1 3945 7614 53 24 3981.334 7626.086 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 96971adb-dc6f-4220-b87f-875d4c7c2611 X*4 Number Number false b565e546-b7f7-4a1b-9c81-7e90c1d9e590 1 3945 7655 53 24 3981.804 7667.199 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true b209923c-3a28-4705-b6c2-2d7aa0c13cc7 true Relative Differences Relative Differences 4256 1465 128 28 4309 1479 1 List of data to operate on (numbers or points or vectors allowed) 4bd22293-c6e2-4782-ac84-5b600580b41c true Values Values false 7cc954f8-e6e0-4d0c-b372-3f3e033c2444 1 4258 1467 36 24 4277.5 1479 1 Differences between consecutive items 0576e8b4-b93e-4625-ba08-32b7a12f9224 true Differenced Differenced false 0 4324 1467 58 24 4354.5 1479 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e59d7b8c-92a9-480e-88e5-0c1a30d07bfb true Relay false 0576e8b4-b93e-4625-ba08-32b7a12f9224 1 4300 1431 40 16 4320 1439 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7cc954f8-e6e0-4d0c-b372-3f3e033c2444 true Relay false a50ee4ed-1074-44c4-b42b-16f559369733 1 4300 1513 40 16 4320 1521 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 61f9e29f-feb3-4122-9ade-977c75c70121 true Relay false ee24630f-f4f0-4780-abab-e012c957d4c6 1 4298 6304 40 16 4318 6312 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 476ce713-0dae-4d18-804a-2b7b11658f2a true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4298 5403 40 16 4318 5411 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object fb8adc2b-49b7-409f-930c-e67bde1e9980 true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4298 3428 40 16 4318 3436 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true ffbd0ca9-452d-476b-aad7-d52654097132 true Line SDL Line SDL 4260 756 122 64 4340 788 Line start point dfa13141-214f-4bdb-bcdf-fd35decbd4ce true Start Start false 75156aff-6128-4635-ba01-66f6e62c8b34 1 4262 758 63 20 4303 768 Line tangent (direction) c6523c5a-ebb1-4c5f-bf08-596ca65340a5 true Direction Direction false 25f75636-f71c-4e68-bc9c-52d7265bce09 1 4262 778 63 20 4303 788 1 1 {0} 0 0 1 Line length e337c9e9-e37b-49b4-a4f3-a62e9d52b221 ABS(X) true Length Length false a0d04d37-b40d-44d4-8c0d-b1f4df33fe55 1 4262 798 63 20 4303 808 1 1 {0} 1 Line segment c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 true Line Line false 0 4355 758 25 60 4369 788 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 25f75636-f71c-4e68-bc9c-52d7265bce09 true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4298 837 40 16 4318 845 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 81e762e6-cf7c-4ae1-9584-48cd20085421 true Remap Numbers Remap Numbers 4264 1122 115 64 4319 1154 Value to remap b8054dea-0dba-4d47-a361-76c40d8e7028 true Value Value false 035d0b92-726f-45b3-9b43-f98bcdec0cf5 1 4266 1124 38 20 4286.5 1134 Source domain 2dc4354d-6568-481e-9543-25086e8764ac true Source Source false 4968227e-19f3-4a9f-97c2-33ce7e630f4f 1 4266 1144 38 20 4286.5 1154 1 1 {0} 0 1 Target domain 631bebd6-f133-4834-8203-c2a2316bf850 true Target Target false 0 4266 1164 38 20 4286.5 1174 1 1 {0} -1 1 Remapped number 977d529a-74c3-4a92-b264-ffd1fdf99c1c true Mapped Mapped false 0 4334 1124 43 30 4357 1139 Remapped and clipped number c2a7c612-4761-43d5-bc2d-fa1631585f85 true Clipped Clipped false 0 4334 1154 43 30 4357 1169 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 115f0245-8d8d-4e08-9afd-473c7a08d0bd true Bounds Bounds 4257 1202 122 28 4321 1216 1 Numbers to include in Bounds 3ed0b4fa-c025-4e44-83fb-50c46e0be136 true Numbers Numbers false 035d0b92-726f-45b3-9b43-f98bcdec0cf5 1 4259 1204 47 24 4284 1216 Numeric Domain between the lowest and highest numbers in {N} 4968227e-19f3-4a9f-97c2-33ce7e630f4f true Domain Domain false 0 4336 1204 41 24 4358 1216 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 035d0b92-726f-45b3-9b43-f98bcdec0cf5 true Relay false e59d7b8c-92a9-480e-88e5-0c1a30d07bfb 1 4298 1247 40 16 4318 1255 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a0d04d37-b40d-44d4-8c0d-b1f4df33fe55 true Relay false fb6b6b3f-e722-4e8d-bc32-b6b0d0bb3a85 1 4298 880 40 16 4318 888 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true e8565a94-1105-499b-9121-d17b6a40c779 true Multiplication Multiplication 4277 919 82 44 4308 941 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication db629085-728c-4432-ad6b-11fd7f0c8e83 true A A true 98c48af7-cad0-4141-8752-76b25a6547b3 1 4279 921 14 20 4287.5 931 Second item for multiplication 86f3c8f9-f877-4cac-ae2a-fb2f2c9d9f48 true B B true c27a5a9f-3110-49e1-91f7-6ebafb7c4bc0 1 4279 941 14 20 4287.5 951 Result of multiplication fb6b6b3f-e722-4e8d-bc32-b6b0d0bb3a85 true Result Result false 0 4323 921 34 40 4341.5 941 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 12a155cd-954b-41b5-9ebf-dfadc3960e64 true Multiplication Multiplication 4277 1020 82 44 4308 1042 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 7cb02247-b8fb-4071-99ef-c3eb7bc8f26e true A A true 977d529a-74c3-4a92-b264-ffd1fdf99c1c 1 4279 1022 14 20 4287.5 1032 Second item for multiplication 21b7d22c-0b3d-41c5-b6b5-c725c2e32b65 true B B true 6c6e888a-ea28-4db0-abf5-a2a050ebc430 1 4279 1042 14 20 4287.5 1052 Result of multiplication 98c48af7-cad0-4141-8752-76b25a6547b3 true Result Result false 0 4323 1022 34 40 4341.5 1042 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6c6e888a-ea28-4db0-abf5-a2a050ebc430 true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4300 1090 40 16 4320 1098 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e59d7b8c-92a9-480e-88e5-0c1a30d07bfb 7cc954f8-e6e0-4d0c-b372-3f3e033c2444 b209923c-3a28-4705-b6c2-2d7aa0c13cc7 3 9c4b4d0a-421b-4c53-895c-1221d23a8c23 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true af294dd2-b04a-4838-88c8-0277f80bc3b0 true Create Material Create Material 4246 631 144 104 4330 683 Colour of the diffuse channel 842d3b1b-9411-48c1-a4b2-090889ff22b0 true Diffuse Diffuse false 0 4248 633 67 20 4283 643 1 1 {0} 255;232;232;232 Colour of the specular highlight d514ba0e-8930-4c2b-a615-b7e12ced1b62 true Specular Specular false 0 4248 653 67 20 4283 663 1 1 {0} 255;0;255;255 Emissive colour of the material 635a8def-1a8d-4792-976c-d3f6d4930987 true Emission Emission false 0 4248 673 67 20 4283 683 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent f6dab51d-0c8f-479b-897a-f57ceedcacab true Transparency Transparency false 0 4248 693 67 20 4283 703 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine c8456449-9caa-4f29-b972-11ccf6caa135 true Shine Shine false 0 4248 713 67 20 4283 723 1 1 {0} 100 Resulting material b603312a-32b7-4d61-9db7-5526a8b7f1fe true Material Material false 0 4345 633 43 100 4368 683 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true a6eac927-8a3c-4732-b1a8-90e4b25850df true Custom Preview Custom Preview 4277 566 82 44 4345 588 Geometry to preview true 3beb0610-3674-43ef-adb2-e95400cf91c4 true Geometry Geometry false c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 1 4279 568 51 20 4306 578 The material override c38e03f4-6478-47b4-92c4-a02cc432b018 true Material Material false b603312a-32b7-4d61-9db7-5526a8b7f1fe 1 4279 588 51 20 4306 598 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 5bda71fa-0d3a-4287-94fd-b5d399b8202f true Evaluate Length Evaluate Length 4246 486 144 64 4320 518 Curve to evaluate 96ffa41c-683e-4059-86c9-0564953e7936 true Curve Curve false c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 1 4248 488 57 20 4278 498 Length factor for curve evaluation cdbe5b1f-9d31-46fb-93c5-ad7291a1eb36 true Length Length false 0 4248 508 57 20 4278 518 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 60ac828e-adc4-47bf-bc1d-0bdb52bac1e8 true Normalized Normalized false 0 4248 528 57 20 4278 538 1 1 {0} true Point at the specified length 637e10b6-0bed-46d6-a76a-6a7a71d05708 true Point Point false 0 4335 488 53 20 4363 498 Tangent vector at the specified length 33f9b60b-9f7d-4984-9b11-554b550460e5 true Tangent Tangent false 0 4335 508 53 20 4363 518 Curve parameter at the specified length 2c8f1546-d78f-421e-b669-baed198bc74d true Parameter Parameter false 0 4335 528 53 20 4363 538 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true d23b18ad-2e9d-4af3-a33d-e2ae8d08d84a true Interpolate Interpolate 4255 382 125 84 4322 424 1 Interpolation points 9e2e3a9b-904b-48d7-a2f8-5e5e1cfec8fc true Vertices Vertices false 637e10b6-0bed-46d6-a76a-6a7a71d05708 1 4257 384 50 20 4283.5 394 Curve degree 4a44671b-a1a5-4b70-a51b-1efe0327b5a7 true Degree Degree false 0 4257 404 50 20 4283.5 414 1 1 {0} 1 Periodic curve ef1234b2-7eb7-49ec-baea-03a92561ca54 true Periodic Periodic false 0 4257 424 50 20 4283.5 434 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 13c20af2-e6f4-40ed-9e06-2a3cee0e1310 true KnotStyle KnotStyle false 0 4257 444 50 20 4283.5 454 1 1 {0} 2 Resulting nurbs curve 2f741b85-28a7-40bc-a56a-d8c6b82e5b30 true Curve Curve false 0 4337 384 41 26 4359 397.3333 Curve length ad2fce30-d14b-4547-b1e0-1e3fa991cd24 true Length Length false 0 4337 410 41 27 4359 424 Curve domain ac261476-0de2-41ba-b51f-1417c8ec05fd true Domain Domain false 0 4337 437 41 27 4359 450.6667 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true eedba66f-c09e-4b6a-a6f6-e360e1607858 true Create Material Create Material 4246 258 144 104 4330 310 Colour of the diffuse channel 2ccdb9dd-ed00-46c0-9a61-9aeee619add6 true Diffuse Diffuse false 0 4248 260 67 20 4283 270 1 1 {0} 255;207;207;207 Colour of the specular highlight ec981619-883f-4f2f-a76a-7485b8c267b4 true Specular Specular false 0 4248 280 67 20 4283 290 1 1 {0} 255;0;255;255 Emissive colour of the material cc6526b3-ec30-4593-a25f-9b0a3bd2b635 true Emission Emission false 0 4248 300 67 20 4283 310 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 0379919a-925c-4039-b44d-31c5860a383f true Transparency Transparency false 0 4248 320 67 20 4283 330 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine e211802f-3037-4ef9-9665-9961a4f13bf4 true Shine Shine false 0 4248 340 67 20 4283 350 1 1 {0} 100 Resulting material 68dbb0fe-eefc-4062-b9b1-d9b0eec3d07b true Material Material false 0 4345 260 43 100 4368 310 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true a3be89c0-1a37-4050-ae27-b5fc88bad330 true Custom Preview Custom Preview 4277 198 82 44 4345 220 Geometry to preview true a444dc8e-4663-4484-a04c-13ad66a87be0 true Geometry Geometry false 2f741b85-28a7-40bc-a56a-d8c6b82e5b30 1 4279 200 51 20 4306 210 The material override 1edb010e-19a0-4324-a37b-2faf51ea7917 true Material Material false 68dbb0fe-eefc-4062-b9b1-d9b0eec3d07b 1 4279 220 51 20 4306 230 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c96083ca-5a8a-4085-b4fd-6d5eea9ca472 0f329de9-ca80-42aa-b370-5edbdbc0dbe2 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 cf8f325e-7066-4f00-bf52-f68e0880fb25 ee378bd1-d97e-429d-8c19-9b21d4cc9fe1 a1a58fed-d57e-4141-b7b0-e1805b47e405 edc3af5a-e25d-4381-a4d7-b2454ae6e271 547f9879-1f4b-4a31-b855-b187d0ccb44c e3bb7df2-b148-4b3e-a431-34c5a0a50196 d79fb373-d285-4a32-9d35-a411dd8a2305 06be7652-b071-449f-9819-02867c2c1901 ba639484-1f04-4eb3-bd96-f9911e7489f7 c656fad9-200a-417f-ab8e-9ec2262e1bcb 8df7d7e6-cf5d-4502-9323-231be7021412 645a4fcb-3841-4062-9f82-8ce6675a59b7 3692f38f-1d1e-454f-9e1e-559f3a96e560 b0f623ea-310b-4b24-9cb7-58687d55b42d 0968c388-eb63-4f69-97af-52e68422d260 8d280e70-d586-432d-9c66-602cd4f4fd53 f6de1485-e329-4dce-a6e4-89cb0f7016af 322a6b5b-a423-48a5-b19d-a56aff79885e 8cf28910-ebf9-447f-b49a-b8133c4bc05e 22 7f8caa90-5f65-4c95-97fa-030e76b167df Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ee378bd1-d97e-429d-8c19-9b21d4cc9fe1 a1a58fed-d57e-4141-b7b0-e1805b47e405 edc3af5a-e25d-4381-a4d7-b2454ae6e271 547f9879-1f4b-4a31-b855-b187d0ccb44c e3bb7df2-b148-4b3e-a431-34c5a0a50196 d79fb373-d285-4a32-9d35-a411dd8a2305 06be7652-b071-449f-9819-02867c2c1901 ba639484-1f04-4eb3-bd96-f9911e7489f7 c656fad9-200a-417f-ab8e-9ec2262e1bcb 8df7d7e6-cf5d-4502-9323-231be7021412 645a4fcb-3841-4062-9f82-8ce6675a59b7 845cb04b-45f5-445d-9f62-abad64b02fd2 af226fd0-4701-4be9-ac43-12af7cefc54c f77a5006-5ba9-4819-b46f-c7f246c09821 14 c96083ca-5a8a-4085-b4fd-6d5eea9ca472 Group dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 0f329de9-ca80-42aa-b370-5edbdbc0dbe2 true Relative Differences Relative Differences 4257 85 128 28 4310 99 1 List of data to operate on (numbers or points or vectors allowed) cf9b5280-1356-40a0-bd2f-b91b9fe0a0d5 true Values Values false cf8f325e-7066-4f00-bf52-f68e0880fb25 1 4259 87 36 24 4278.5 99 1 Differences between consecutive items 1f168d2a-aa06-4c70-8dc4-2ea3b603bb80 true Differenced Differenced false 0 4325 87 58 24 4355.5 99 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 true Relay false 1f168d2a-aa06-4c70-8dc4-2ea3b603bb80 1 4301 51 40 16 4321 59 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object cf8f325e-7066-4f00-bf52-f68e0880fb25 true Relay false e59d7b8c-92a9-480e-88e5-0c1a30d07bfb 1 4301 133 40 16 4321 141 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true ee378bd1-d97e-429d-8c19-9b21d4cc9fe1 true Line SDL Line SDL 4257 -642 122 64 4337 -610 Line start point 6e2d24a9-2651-43b2-9059-a97658fefa94 true Start Start false 637e10b6-0bed-46d6-a76a-6a7a71d05708 1 4259 -640 63 20 4300 -630 Line tangent (direction) 8d62e557-6e3c-4bf6-a04e-10b7a8808160 true Direction Direction false a1a58fed-d57e-4141-b7b0-e1805b47e405 1 4259 -620 63 20 4300 -610 1 1 {0} 0 0 1 Line length 48067a4f-d715-425d-9142-e9acdf7e2d16 ABS(X) true Length Length false ba639484-1f04-4eb3-bd96-f9911e7489f7 1 4259 -600 63 20 4300 -590 1 1 {0} 1 Line segment be2cf019-1305-48ce-adba-8f4655e5d2ee true Line Line false 0 4352 -640 25 60 4366 -610 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a1a58fed-d57e-4141-b7b0-e1805b47e405 true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4298 -560 40 16 4318 -552 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 547f9879-1f4b-4a31-b855-b187d0ccb44c true Remap Numbers Remap Numbers 4260 -278 115 64 4315 -246 Value to remap e2ce2793-7f92-435a-9592-107d9e9325c7 true Value Value false 06be7652-b071-449f-9819-02867c2c1901 1 4262 -276 38 20 4282.5 -266 Source domain aca09565-ad3a-4dff-9c3a-f829a275ed12 true Source Source false 6366097d-daba-401d-a3bb-09908d45be64 1 4262 -256 38 20 4282.5 -246 1 1 {0} 0 1 Target domain 75fe238b-59fa-4483-9f0a-387f19e4effa true Target Target false 0 4262 -236 38 20 4282.5 -226 1 1 {0} -1 1 Remapped number f7db2e14-5eac-4497-8d7a-faed2f5f076b true Mapped Mapped false 0 4330 -276 43 30 4353 -261 Remapped and clipped number a79c8122-d5a3-4494-801e-dc132432acb4 true Clipped Clipped false 0 4330 -246 43 30 4353 -231 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true e3bb7df2-b148-4b3e-a431-34c5a0a50196 true Bounds Bounds 4257 -195 122 28 4321 -181 1 Numbers to include in Bounds 65e00f66-a02a-4a1c-b13a-c34b1d32db8f true Numbers Numbers false 06be7652-b071-449f-9819-02867c2c1901 1 4259 -193 47 24 4284 -181 Numeric Domain between the lowest and highest numbers in {N} 6366097d-daba-401d-a3bb-09908d45be64 true Domain Domain false 0 4336 -193 41 24 4358 -181 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c 547f9879-1f4b-4a31-b855-b187d0ccb44c e3bb7df2-b148-4b3e-a431-34c5a0a50196 c3830b7d-0858-410d-89db-9af833da8bf5 ba639484-1f04-4eb3-bd96-f9911e7489f7 06be7652-b071-449f-9819-02867c2c1901 edc3af5a-e25d-4381-a4d7-b2454ae6e271 c656fad9-200a-417f-ab8e-9ec2262e1bcb 14 d79fb373-d285-4a32-9d35-a411dd8a2305 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 06be7652-b071-449f-9819-02867c2c1901 true Relay false 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 1 4298 -150 40 16 4318 -142 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object ba639484-1f04-4eb3-bd96-f9911e7489f7 true Relay false 1ab4b573-b016-44f4-9322-bcb16dcb97b9 1 4298 -517 40 16 4318 -509 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true c656fad9-200a-417f-ab8e-9ec2262e1bcb true Multiplication Multiplication 4277 -478 82 44 4308 -456 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication f38099fc-1a8f-4ec2-a980-4782834441e2 true A A true 4e4dd104-426c-41d2-bb08-6c08681a1283 1 4279 -476 14 20 4287.5 -466 Second item for multiplication c981e6f7-dd08-4e71-86f1-5294401a4440 true B B true f77a5006-5ba9-4819-b46f-c7f246c09821 1 4279 -456 14 20 4287.5 -446 Result of multiplication 1ab4b573-b016-44f4-9322-bcb16dcb97b9 true Result Result false 0 4323 -476 34 40 4341.5 -456 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 8df7d7e6-cf5d-4502-9323-231be7021412 true Multiplication Multiplication 4277 -377 82 44 4308 -355 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication eae22736-cc25-48be-82b9-82ae0596aed0 true A A true f7db2e14-5eac-4497-8d7a-faed2f5f076b 1 4279 -375 14 20 4287.5 -365 Second item for multiplication 46ccac10-5ef7-43c0-b5e4-750578a78456 true B B true 645a4fcb-3841-4062-9f82-8ce6675a59b7 1 4279 -355 14 20 4287.5 -345 Result of multiplication 4e4dd104-426c-41d2-bb08-6c08681a1283 true Result Result false 0 4323 -375 34 40 4341.5 -355 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 645a4fcb-3841-4062-9f82-8ce6675a59b7 true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4298 -315 40 16 4318 -307 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 cf8f325e-7066-4f00-bf52-f68e0880fb25 0f329de9-ca80-42aa-b370-5edbdbc0dbe2 3 3692f38f-1d1e-454f-9e1e-559f3a96e560 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true b0f623ea-310b-4b24-9cb7-58687d55b42d true Create Material Create Material 4246 -766 144 104 4330 -714 Colour of the diffuse channel 0b2039c2-9096-48a6-a2a4-5e14c7289f90 true Diffuse Diffuse false 0 4248 -764 67 20 4283 -754 1 1 {0} 255;224;224;224 Colour of the specular highlight ba122001-38ee-4908-b388-560c17dc7b38 true Specular Specular false 0 4248 -744 67 20 4283 -734 1 1 {0} 255;0;255;255 Emissive colour of the material b19593ac-70b7-4a5b-a68d-d7c04b9d5039 true Emission Emission false 0 4248 -724 67 20 4283 -714 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent e50630b9-256d-4890-b2a2-710b1069a1a9 true Transparency Transparency false 0 4248 -704 67 20 4283 -694 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 3cb8a942-bbf6-485a-8eb7-177cc856e9d8 true Shine Shine false 0 4248 -684 67 20 4283 -674 1 1 {0} 100 Resulting material 9c578a14-3257-4ba9-bd47-aa9ac4e0f711 true Material Material false 0 4345 -764 43 100 4368 -714 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 0968c388-eb63-4f69-97af-52e68422d260 true Custom Preview Custom Preview 4277 -828 82 44 4345 -806 Geometry to preview true 804b2077-26f5-49bd-bca2-9e59ee6a5fe0 true Geometry Geometry false be2cf019-1305-48ce-adba-8f4655e5d2ee 1 4279 -826 51 20 4306 -816 The material override c84c562c-4cf7-4ae2-85fb-0f5c52a48b01 true Material Material false 9c578a14-3257-4ba9-bd47-aa9ac4e0f711 1 4279 -806 51 20 4306 -796 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 8d280e70-d586-432d-9c66-602cd4f4fd53 true Evaluate Length Evaluate Length 4246 -911 144 64 4320 -879 Curve to evaluate 20375335-fe2f-4b9e-b95b-ff3bfc4229f7 true Curve Curve false be2cf019-1305-48ce-adba-8f4655e5d2ee 1 4248 -909 57 20 4278 -899 Length factor for curve evaluation 091e548d-72b9-42a9-87cc-c90e4b9d833d true Length Length false 0 4248 -889 57 20 4278 -879 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) ccbd7807-1a8d-4478-974e-eaeba34232b0 true Normalized Normalized false 0 4248 -869 57 20 4278 -859 1 1 {0} true Point at the specified length c0df840f-e21c-4129-b503-719f49fc6b16 true Point Point false 0 4335 -909 53 20 4363 -899 Tangent vector at the specified length ff9a3ab7-ae19-486e-8da8-c1e0a14e6800 true Tangent Tangent false 0 4335 -889 53 20 4363 -879 Curve parameter at the specified length 11442010-ed08-406e-8f80-cab63dbe48de true Parameter Parameter false 0 4335 -869 53 20 4363 -859 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true f6de1485-e329-4dce-a6e4-89cb0f7016af true Interpolate Interpolate 4255 -1015 125 84 4322 -973 1 Interpolation points 07e3a62a-f138-4908-8022-e63d0db12106 true Vertices Vertices false c0df840f-e21c-4129-b503-719f49fc6b16 1 4257 -1013 50 20 4283.5 -1003 Curve degree c7a9d37a-9597-4be7-8fb4-788c127c3da4 true Degree Degree false 0 4257 -993 50 20 4283.5 -983 1 1 {0} 1 Periodic curve e55e9e83-721d-4edc-8736-2486181af6fd true Periodic Periodic false 0 4257 -973 50 20 4283.5 -963 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) f3235844-9d1d-4d99-bd61-222abdd54981 true KnotStyle KnotStyle false 0 4257 -953 50 20 4283.5 -943 1 1 {0} 2 Resulting nurbs curve eda997fc-a64a-410d-984f-4373353f22d8 true Curve Curve false 0 4337 -1013 41 26 4359 -999.6667 Curve length af975174-342f-4023-8176-c430b910aa01 true Length Length false 0 4337 -987 41 27 4359 -973 Curve domain 72b77803-9b17-4bbf-8606-c8a01fc98876 true Domain Domain false 0 4337 -960 41 27 4359 -946.3334 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 322a6b5b-a423-48a5-b19d-a56aff79885e true Create Material Create Material 4246 -1139 144 104 4330 -1087 Colour of the diffuse channel 544f4ed3-57ae-49fe-8560-25df04b6d6b4 true Diffuse Diffuse false 0 4248 -1137 67 20 4283 -1127 1 1 {0} 255;199;199;199 Colour of the specular highlight d3f9d604-bf6f-4f65-85b0-64f38535d92f true Specular Specular false 0 4248 -1117 67 20 4283 -1107 1 1 {0} 255;0;255;255 Emissive colour of the material 78f51403-90bc-41eb-973b-6a8618c61a9b true Emission Emission false 0 4248 -1097 67 20 4283 -1087 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent d316c5f8-75ad-445c-b3fa-434bd3a704b5 true Transparency Transparency false 0 4248 -1077 67 20 4283 -1067 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 0b914229-1375-4735-a7ef-fcf88df61be4 true Shine Shine false 0 4248 -1057 67 20 4283 -1047 1 1 {0} 100 Resulting material 593cb676-3e96-41ce-a2a5-98139f80f758 true Material Material false 0 4345 -1137 43 100 4368 -1087 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 8cf28910-ebf9-447f-b49a-b8133c4bc05e true Custom Preview Custom Preview 4277 -1199 82 44 4345 -1177 Geometry to preview true 7f4d70c9-8898-4534-a476-a481f4657452 true Geometry Geometry false eda997fc-a64a-410d-984f-4373353f22d8 1 4279 -1197 51 20 4306 -1187 The material override 165d0974-e17c-4dd5-9a5c-584173fc1f1a true Material Material false 593cb676-3e96-41ce-a2a5-98139f80f758 1 4279 -1177 51 20 4306 -1167 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 2e7d434b-e497-40c2-9170-d80e0bf5bcba 7eb55334-5bfa-4486-9ff6-b5829dac3feb e9df2343-bcc4-4760-80bc-8ee2d703441d b83bd03c-6fc4-45b4-87b8-5e564aaac95b 6ddfcd4a-34b2-4ad5-afdf-bc3d5086e3cb 6aaa1793-28e6-4756-99ff-42dbddf77a39 7a372be2-540a-4b8c-b985-ea311cfef976 7803a825-4dda-48df-aa28-6d873414abc3 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a 9e0e35cc-c9b4-43b6-a875-a16fd29ba65a a47545e5-d679-4719-9a47-2c4466a7fd8b 27134342-2fa4-4066-889e-6f4ad894e999 bdafdfb8-bb33-4d40-ad59-5e519f758096 25966e22-4fd9-419c-b905-ad0d899b9233 0ab3c753-c9f7-45bf-b85a-26d6499915ce 845cb04b-45f5-445d-9f62-abad64b02fd2 307e04c0-347d-42da-aac3-535ada9ac315 391984bd-bdf7-4963-92f0-2e256b508f09 8563ebf7-7afd-4569-aa53-0cc90bd1a378 91616bda-478d-47e7-987e-50b82258ce06 813e4314-bed9-4963-8fd6-132105ecb666 ac616e7c-8b28-4c2e-bf9a-5a8c674ee521 22 e415110b-3faf-49e8-889a-ea5803860fe9 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 6ddfcd4a-34b2-4ad5-afdf-bc3d5086e3cb 6aaa1793-28e6-4756-99ff-42dbddf77a39 7a372be2-540a-4b8c-b985-ea311cfef976 7803a825-4dda-48df-aa28-6d873414abc3 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a 9e0e35cc-c9b4-43b6-a875-a16fd29ba65a a47545e5-d679-4719-9a47-2c4466a7fd8b 27134342-2fa4-4066-889e-6f4ad894e999 bdafdfb8-bb33-4d40-ad59-5e519f758096 25966e22-4fd9-419c-b905-ad0d899b9233 0ab3c753-c9f7-45bf-b85a-26d6499915ce ac588950-bc7f-4799-998b-6293a8136543 12 2e7d434b-e497-40c2-9170-d80e0bf5bcba Group dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 7eb55334-5bfa-4486-9ff6-b5829dac3feb true Relative Differences Relative Differences 4255 -1324 128 28 4308 -1310 1 List of data to operate on (numbers or points or vectors allowed) ae80ef1a-72c2-4f48-843a-15d379553646 true Values Values false b83bd03c-6fc4-45b4-87b8-5e564aaac95b 1 4257 -1322 36 24 4276.5 -1310 1 Differences between consecutive items 5a957f96-5a4e-438c-beb4-d71a40d90f89 true Differenced Differenced false 0 4323 -1322 58 24 4353.5 -1310 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e9df2343-bcc4-4760-80bc-8ee2d703441d true Relay false 5a957f96-5a4e-438c-beb4-d71a40d90f89 1 4302 -1358 40 16 4322 -1350 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object b83bd03c-6fc4-45b4-87b8-5e564aaac95b true Relay false 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 1 4299 -1276 40 16 4319 -1268 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 6ddfcd4a-34b2-4ad5-afdf-bc3d5086e3cb true Line SDL Line SDL 4260 -2052 122 64 4340 -2020 Line start point f5b17117-d25b-41b1-842c-a3197dca9123 true Start Start false c0df840f-e21c-4129-b503-719f49fc6b16 1 4262 -2050 63 20 4303 -2040 Line tangent (direction) 2a8085b2-3baf-44f9-b34e-1d2d96385c84 true Direction Direction false 6aaa1793-28e6-4756-99ff-42dbddf77a39 1 4262 -2030 63 20 4303 -2020 1 1 {0} 0 0 1 Line length 2af41a7d-df5e-4691-9848-2507f8ba3c97 ABS(X) true Length Length false 27134342-2fa4-4066-889e-6f4ad894e999 1 4262 -2010 63 20 4303 -2000 1 1 {0} 1 Line segment fa43f40d-b436-439a-bab2-aac4d1b2ae8b true Line Line false 0 4355 -2050 25 60 4369 -2020 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6aaa1793-28e6-4756-99ff-42dbddf77a39 true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4298 -1971 40 16 4318 -1963 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 7803a825-4dda-48df-aa28-6d873414abc3 true Remap Numbers Remap Numbers 4253 -1700 115 64 4308 -1668 Value to remap 0c5b7722-f827-4fe2-94e4-2d203f324b13 true Value Value false a47545e5-d679-4719-9a47-2c4466a7fd8b 1 4255 -1698 38 20 4275.5 -1688 Source domain da6b0a7a-afc2-472a-bb91-42cf57aaf2be true Source Source false 0dbb88bc-fe27-4e6b-9f57-3dabd1d71520 1 4255 -1678 38 20 4275.5 -1668 1 1 {0} 0 1 Target domain 01d28205-64da-48f4-b28b-d9b155277b2d true Target Target false 0 4255 -1658 38 20 4275.5 -1648 1 1 {0} -1 1 Remapped number c395f5b4-45e8-4b90-b7b3-f484cd3aade4 true Mapped Mapped false 0 4323 -1698 43 30 4346 -1683 Remapped and clipped number 6ed0ec77-ff5b-4d62-9aa8-e5e43c3c9bd0 true Clipped Clipped false 0 4323 -1668 43 30 4346 -1653 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a true Bounds Bounds 4250 -1617 122 28 4314 -1603 1 Numbers to include in Bounds 49b06533-0be4-4801-9f1b-0d82020b6d5c true Numbers Numbers false a47545e5-d679-4719-9a47-2c4466a7fd8b 1 4252 -1615 47 24 4277 -1603 Numeric Domain between the lowest and highest numbers in {N} 0dbb88bc-fe27-4e6b-9f57-3dabd1d71520 true Domain Domain false 0 4329 -1615 41 24 4351 -1603 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c 7803a825-4dda-48df-aa28-6d873414abc3 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a c3830b7d-0858-410d-89db-9af833da8bf5 27134342-2fa4-4066-889e-6f4ad894e999 a47545e5-d679-4719-9a47-2c4466a7fd8b 7a372be2-540a-4b8c-b985-ea311cfef976 bdafdfb8-bb33-4d40-ad59-5e519f758096 99e5fe55-2e16-4fd9-bbf5-d60f020294b9 15 9e0e35cc-c9b4-43b6-a875-a16fd29ba65a Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a47545e5-d679-4719-9a47-2c4466a7fd8b true Relay false e9df2343-bcc4-4760-80bc-8ee2d703441d 1 4295 -1568 40 16 4315 -1560 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 27134342-2fa4-4066-889e-6f4ad894e999 true Relay false 8cea9731-8f9c-4e8b-85df-2050902b7807 1 4294 -1939 40 16 4314 -1931 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true bdafdfb8-bb33-4d40-ad59-5e519f758096 true Multiplication Multiplication 4270 -1902 82 44 4301 -1880 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 878222d7-48d3-4576-abd2-de0b7b2445f6 true A A true 817a1f1b-9353-4d8d-84f9-673116fd6d05 1 4272 -1900 14 20 4280.5 -1890 Second item for multiplication d21e7beb-ac2d-43d2-b690-4bfd03921f06 true B B true 99e5fe55-2e16-4fd9-bbf5-d60f020294b9 1 4272 -1880 14 20 4280.5 -1870 Result of multiplication 8cea9731-8f9c-4e8b-85df-2050902b7807 true Result Result false 0 4316 -1900 34 40 4334.5 -1880 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 25966e22-4fd9-419c-b905-ad0d899b9233 true Multiplication Multiplication 4277 -1787 82 44 4308 -1765 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication c191cdf0-ce56-4ffa-83d6-d9e5ee1ce3ab true A A true c395f5b4-45e8-4b90-b7b3-f484cd3aade4 1 4279 -1785 14 20 4287.5 -1775 Second item for multiplication 2e0d80ea-79b2-4e23-b4b2-f1c47cb6d051 true B B true 0ab3c753-c9f7-45bf-b85a-26d6499915ce 1 4279 -1765 14 20 4287.5 -1755 Result of multiplication 1f4d203a-7210-473f-9482-f99a19778d4f true Result Result false 0 4323 -1785 34 40 4341.5 -1765 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 0ab3c753-c9f7-45bf-b85a-26d6499915ce true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4295 -1725 40 16 4315 -1717 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e9df2343-bcc4-4760-80bc-8ee2d703441d b83bd03c-6fc4-45b4-87b8-5e564aaac95b 7eb55334-5bfa-4486-9ff6-b5829dac3feb 3 845cb04b-45f5-445d-9f62-abad64b02fd2 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 307e04c0-347d-42da-aac3-535ada9ac315 true Create Material Create Material 4246 -2177 144 104 4330 -2125 Colour of the diffuse channel b17b0379-bc45-45ba-bd16-2a0eba0989df true Diffuse Diffuse false 0 4248 -2175 67 20 4283 -2165 1 1 {0} 255;217;217;217 Colour of the specular highlight cadc18a2-76b6-48c9-85f4-e683444ac926 true Specular Specular false 0 4248 -2155 67 20 4283 -2145 1 1 {0} 255;0;255;255 Emissive colour of the material 45312f69-4306-4270-8336-9d4f988b53f5 true Emission Emission false 0 4248 -2135 67 20 4283 -2125 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 93837e64-6bec-4f2c-a8e7-70ab7b01b7e2 true Transparency Transparency false 0 4248 -2115 67 20 4283 -2105 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 117d8814-ca79-42a3-90fa-2d0ac9cb0bdb true Shine Shine false 0 4248 -2095 67 20 4283 -2085 1 1 {0} 100 Resulting material dac4de77-9f6f-4daa-a2fb-101193a87ed7 true Material Material false 0 4345 -2175 43 100 4368 -2125 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 391984bd-bdf7-4963-92f0-2e256b508f09 true Custom Preview Custom Preview 4277 -2239 82 44 4345 -2217 Geometry to preview true 0cbf1ec0-48a5-4725-b163-a93cd896f78a true Geometry Geometry false fa43f40d-b436-439a-bab2-aac4d1b2ae8b 1 4279 -2237 51 20 4306 -2227 The material override 67084f2a-d79d-4f1b-bd0d-c0baf2bc54f3 true Material Material false dac4de77-9f6f-4daa-a2fb-101193a87ed7 1 4279 -2217 51 20 4306 -2207 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 8563ebf7-7afd-4569-aa53-0cc90bd1a378 true Evaluate Length Evaluate Length 4246 -2322 144 64 4320 -2290 Curve to evaluate 75e68839-7c56-486e-8934-2aec69846414 true Curve Curve false fa43f40d-b436-439a-bab2-aac4d1b2ae8b 1 4248 -2320 57 20 4278 -2310 Length factor for curve evaluation df4e0f36-f4ca-4b09-b619-bd775693b056 true Length Length false 0 4248 -2300 57 20 4278 -2290 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) de2c86ac-e32a-4606-a129-52dcce0396b7 true Normalized Normalized false 0 4248 -2280 57 20 4278 -2270 1 1 {0} true Point at the specified length 5e91e4ba-1184-48d6-8062-bc02f9dd7cd0 true Point Point false 0 4335 -2320 53 20 4363 -2310 Tangent vector at the specified length 9dd89b63-2e2c-42b0-a2a2-48bbe718af2a true Tangent Tangent false 0 4335 -2300 53 20 4363 -2290 Curve parameter at the specified length c7b66ac2-eefe-4c24-bc83-ef966d86fd7b true Parameter Parameter false 0 4335 -2280 53 20 4363 -2270 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 91616bda-478d-47e7-987e-50b82258ce06 true Interpolate Interpolate 4255 -2426 125 84 4322 -2384 1 Interpolation points ef6f2b2f-7fc9-48b4-ab19-f8e956f17ef7 true Vertices Vertices false 5e91e4ba-1184-48d6-8062-bc02f9dd7cd0 1 4257 -2424 50 20 4283.5 -2414 Curve degree 41b3d3c2-2d7b-496c-ad9b-d6395c994acc true Degree Degree false 0 4257 -2404 50 20 4283.5 -2394 1 1 {0} 1 Periodic curve 5d892f8d-5082-4e8b-b695-aa53350b964c true Periodic Periodic false 0 4257 -2384 50 20 4283.5 -2374 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 48df9416-48a3-431e-83bb-dfded5c7cf13 true KnotStyle KnotStyle false 0 4257 -2364 50 20 4283.5 -2354 1 1 {0} 2 Resulting nurbs curve 678b8bf7-9aac-4970-8a9e-ee50acb3e43a true Curve Curve false 0 4337 -2424 41 26 4359 -2410.667 Curve length a5ea4950-35e0-413c-b420-38f10bcbc1dc true Length Length false 0 4337 -2398 41 27 4359 -2384 Curve domain b7207c89-8e70-43e8-98d7-c34853a94e21 true Domain Domain false 0 4337 -2371 41 27 4359 -2357.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 813e4314-bed9-4963-8fd6-132105ecb666 true Create Material Create Material 4246 -2550 144 104 4330 -2498 Colour of the diffuse channel f81f1c89-8bc5-473f-b7c5-750a00edd80a true Diffuse Diffuse false 0 4248 -2548 67 20 4283 -2538 1 1 {0} 255;191;191;191 Colour of the specular highlight 7eea7044-9ecc-498a-ac53-1d0937777605 true Specular Specular false 0 4248 -2528 67 20 4283 -2518 1 1 {0} 255;0;255;255 Emissive colour of the material 5e84ac81-5265-4b77-9fb4-9608d8e14a39 true Emission Emission false 0 4248 -2508 67 20 4283 -2498 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 273f6050-7148-4e70-8533-df9579105dda true Transparency Transparency false 0 4248 -2488 67 20 4283 -2478 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 6fd3f45d-ffdd-47ca-8b53-5d632438bd38 true Shine Shine false 0 4248 -2468 67 20 4283 -2458 1 1 {0} 100 Resulting material 6f27c099-ecfb-4221-a1a3-f67aa8f90b49 true Material Material false 0 4345 -2548 43 100 4368 -2498 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true ac616e7c-8b28-4c2e-bf9a-5a8c674ee521 true Custom Preview Custom Preview 4277 -2610 82 44 4345 -2588 Geometry to preview true b5ae2558-2f1a-4cb4-8602-975a07f8ba9f true Geometry Geometry false 678b8bf7-9aac-4970-8a9e-ee50acb3e43a 1 4279 -2608 51 20 4306 -2598 The material override 5170ecf1-f935-4d97-9b53-18f07f6c82d6 true Material Material false 6f27c099-ecfb-4221-a1a3-f67aa8f90b49 1 4279 -2588 51 20 4306 -2578 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 42e4b4aa-e5fd-4fa0-bf50-f55fc4f83c27 7ce967df-b77a-48e3-a0ab-0ef69e7f509a 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 542cf401-da7e-48c8-b950-1a069d6a5222 8e072824-d558-4a16-83ee-15d5922d0358 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 2a17f8f3-05cd-4fbd-b87b-a16ec3f03605 ccf5004f-68b3-4648-b104-7c06d5891746 e6b170b8-81e9-4dc7-be29-53e442aef89b f6a70308-0365-4a62-ae8f-7b0c06d916af 698ed7a6-823a-4f3b-81d0-a53f97720331 fb6c570f-5424-4449-a098-6b87ce055efc 7a0786f3-f3f2-42f2-9a17-842da33ce48b b42552e4-4295-43cd-9229-0f7fb6c498dc c13f3a2d-a96e-4f90-ab80-a783086b7ad0 efceaa27-3a6e-434b-b4ce-dc47dc3cbd9f 2fd38000-615a-4f6c-925c-fae90fde2a8e 65ac4482-b933-4f95-9a07-b23d2cef1c6a 1db7d0ec-8709-47d7-82e0-4691e7efbe8b eefa2f3e-ae14-4853-9588-e0ad60346408 a9846cd4-c92f-4ca4-904e-88b9fe76c39c 100d237b-fd67-4830-be89-c236745d92e8 22 9a7db9c9-43b6-4731-b3bb-087fd868b276 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 8e072824-d558-4a16-83ee-15d5922d0358 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 2a17f8f3-05cd-4fbd-b87b-a16ec3f03605 ccf5004f-68b3-4648-b104-7c06d5891746 e6b170b8-81e9-4dc7-be29-53e442aef89b f6a70308-0365-4a62-ae8f-7b0c06d916af 698ed7a6-823a-4f3b-81d0-a53f97720331 fb6c570f-5424-4449-a098-6b87ce055efc 7a0786f3-f3f2-42f2-9a17-842da33ce48b b42552e4-4295-43cd-9229-0f7fb6c498dc c13f3a2d-a96e-4f90-ab80-a783086b7ad0 7ea7c812-fbf2-4ab8-9a4e-7edd89c68a35 12 42e4b4aa-e5fd-4fa0-bf50-f55fc4f83c27 Group dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 7ce967df-b77a-48e3-a0ab-0ef69e7f509a true Relative Differences Relative Differences 4254 -2720 128 28 4307 -2706 1 List of data to operate on (numbers or points or vectors allowed) 7f36f02f-6ddc-4cb0-a544-c62006d91a7e true Values Values false 542cf401-da7e-48c8-b950-1a069d6a5222 1 4256 -2718 36 24 4275.5 -2706 1 Differences between consecutive items 097201c1-1da3-4b40-8dd0-b049871b7d99 true Differenced Differenced false 0 4322 -2718 58 24 4352.5 -2706 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 true Relay false 097201c1-1da3-4b40-8dd0-b049871b7d99 1 4298 -2754 40 16 4318 -2746 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 542cf401-da7e-48c8-b950-1a069d6a5222 true Relay false e9df2343-bcc4-4760-80bc-8ee2d703441d 1 4298 -2672 40 16 4318 -2664 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 8e072824-d558-4a16-83ee-15d5922d0358 true Line SDL Line SDL 4257 -3450 122 64 4337 -3418 Line start point cfd18607-4057-4291-9223-81c906b9c49f true Start Start false 5e91e4ba-1184-48d6-8062-bc02f9dd7cd0 1 4259 -3448 63 20 4300 -3438 Line tangent (direction) cb2d2ba5-e6f3-4841-9978-746af6500450 true Direction Direction false 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 1 4259 -3428 63 20 4300 -3418 1 1 {0} 0 0 1 Line length 95296efb-57ab-4b1d-baea-2f0e4c3f9c8e ABS(X) true Length Length false fb6c570f-5424-4449-a098-6b87ce055efc 1 4259 -3408 63 20 4300 -3398 1 1 {0} 1 Line segment 9fd0b496-5590-469c-9d73-be4bb1965f90 true Line Line false 0 4352 -3448 25 60 4366 -3418 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4298 -3368 40 16 4318 -3360 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true ccf5004f-68b3-4648-b104-7c06d5891746 true Remap Numbers Remap Numbers 4260 -3086 115 64 4315 -3054 Value to remap 1f626e82-58ae-438a-90e6-0b36707c73dd true Value Value false 698ed7a6-823a-4f3b-81d0-a53f97720331 1 4262 -3084 38 20 4282.5 -3074 Source domain 96780f3e-9927-4116-be86-f0654fe684f5 true Source Source false efb5ced9-506b-4efb-aedb-6823b20f9f6e 1 4262 -3064 38 20 4282.5 -3054 1 1 {0} 0 1 Target domain 6cf6be25-bd2a-4cad-b8b5-a5fb8313d332 true Target Target false 0 4262 -3044 38 20 4282.5 -3034 1 1 {0} -1 1 Remapped number e6c55d1f-8d23-47fb-9e63-67ee5eecb8ca true Mapped Mapped false 0 4330 -3084 43 30 4353 -3069 Remapped and clipped number 0e5bb633-c4ae-4720-8365-f59d27ff8f00 true Clipped Clipped false 0 4330 -3054 43 30 4353 -3039 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true e6b170b8-81e9-4dc7-be29-53e442aef89b true Bounds Bounds 4257 -3003 122 28 4321 -2989 1 Numbers to include in Bounds 41279e52-c8b2-44d2-a05f-a12da73d9726 true Numbers Numbers false 698ed7a6-823a-4f3b-81d0-a53f97720331 1 4259 -3001 47 24 4284 -2989 Numeric Domain between the lowest and highest numbers in {N} efb5ced9-506b-4efb-aedb-6823b20f9f6e true Domain Domain false 0 4336 -3001 41 24 4358 -2989 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c ccf5004f-68b3-4648-b104-7c06d5891746 e6b170b8-81e9-4dc7-be29-53e442aef89b c3830b7d-0858-410d-89db-9af833da8bf5 fb6c570f-5424-4449-a098-6b87ce055efc 698ed7a6-823a-4f3b-81d0-a53f97720331 2a17f8f3-05cd-4fbd-b87b-a16ec3f03605 7a0786f3-f3f2-42f2-9a17-842da33ce48b e9c988a3-a0f9-44b8-9dca-881e071528d5 15 f6a70308-0365-4a62-ae8f-7b0c06d916af Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 698ed7a6-823a-4f3b-81d0-a53f97720331 true Relay false 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 1 4298 -2958 40 16 4318 -2950 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object fb6c570f-5424-4449-a098-6b87ce055efc true Relay false f238ee5d-fbdb-4636-ba07-216e3abf726a 1 4298 -3325 40 16 4318 -3317 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 7a0786f3-f3f2-42f2-9a17-842da33ce48b true Multiplication Multiplication 4277 -3286 82 44 4308 -3264 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication a72226b1-1293-4dce-b956-5d0d458be578 true A A true d596036f-c261-4979-89f0-99a2e5d79241 1 4279 -3284 14 20 4287.5 -3274 Second item for multiplication 31719fe6-f994-48d7-9ab2-4f5ecdbf23fe true B B true e9c988a3-a0f9-44b8-9dca-881e071528d5 1 4279 -3264 14 20 4287.5 -3254 Result of multiplication f238ee5d-fbdb-4636-ba07-216e3abf726a true Result Result false 0 4323 -3284 34 40 4341.5 -3264 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true b42552e4-4295-43cd-9229-0f7fb6c498dc true Multiplication Multiplication 4277 -3185 82 44 4308 -3163 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication ac0e6fc4-1bc1-41a0-ac67-6e577569d2e4 true A A true e6c55d1f-8d23-47fb-9e63-67ee5eecb8ca 1 4279 -3183 14 20 4287.5 -3173 Second item for multiplication 318ea127-00ac-494e-b0d8-25457e3390c1 true B B true c13f3a2d-a96e-4f90-ab80-a783086b7ad0 1 4279 -3163 14 20 4287.5 -3153 Result of multiplication d596036f-c261-4979-89f0-99a2e5d79241 true Result Result false 0 4323 -3183 34 40 4341.5 -3163 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c13f3a2d-a96e-4f90-ab80-a783086b7ad0 true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4298 -3123 40 16 4318 -3115 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 542cf401-da7e-48c8-b950-1a069d6a5222 7ce967df-b77a-48e3-a0ab-0ef69e7f509a 3 efceaa27-3a6e-434b-b4ce-dc47dc3cbd9f Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 2fd38000-615a-4f6c-925c-fae90fde2a8e true Create Material Create Material 4246 -3574 144 104 4330 -3522 Colour of the diffuse channel bca6b15c-ead9-4a78-a63a-f69e99028d80 true Diffuse Diffuse false 0 4248 -3572 67 20 4283 -3562 1 1 {0} 255;209;209;209 Colour of the specular highlight ca1e6ad1-156d-4f2e-9298-0f63c1b2cfb9 true Specular Specular false 0 4248 -3552 67 20 4283 -3542 1 1 {0} 255;0;255;255 Emissive colour of the material 228c6c12-4d82-41c3-8f3f-029032a0cb64 true Emission Emission false 0 4248 -3532 67 20 4283 -3522 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent a3339c35-080c-45a8-a809-c9945cdaa329 true Transparency Transparency false 0 4248 -3512 67 20 4283 -3502 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 5e23e62d-4027-4195-9865-eab08a4a917c true Shine Shine false 0 4248 -3492 67 20 4283 -3482 1 1 {0} 100 Resulting material ee93036d-9997-483c-8552-de089dd4c99c true Material Material false 0 4345 -3572 43 100 4368 -3522 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 65ac4482-b933-4f95-9a07-b23d2cef1c6a true Custom Preview Custom Preview 4277 -3636 82 44 4345 -3614 Geometry to preview true f898a738-0820-4631-aeef-a5195fb0f7df true Geometry Geometry false 9fd0b496-5590-469c-9d73-be4bb1965f90 1 4279 -3634 51 20 4306 -3624 The material override 26559eaa-9c07-4e60-8e34-94ecd3d2ebf0 true Material Material false ee93036d-9997-483c-8552-de089dd4c99c 1 4279 -3614 51 20 4306 -3604 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 1db7d0ec-8709-47d7-82e0-4691e7efbe8b true Evaluate Length Evaluate Length 4246 -3719 144 64 4320 -3687 Curve to evaluate bc77b9c3-ff4d-43ee-9957-74e39a55ce61 true Curve Curve false 9fd0b496-5590-469c-9d73-be4bb1965f90 1 4248 -3717 57 20 4278 -3707 Length factor for curve evaluation 6915e62a-edd4-44cb-bf03-7535a64afcac true Length Length false 0 4248 -3697 57 20 4278 -3687 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 266bd85c-7f88-41d8-9c3b-3ce0b341a5f8 true Normalized Normalized false 0 4248 -3677 57 20 4278 -3667 1 1 {0} true Point at the specified length 8d3777b7-0158-4820-9120-622aa905cd46 true Point Point false 0 4335 -3717 53 20 4363 -3707 Tangent vector at the specified length c1141206-a7b5-4b08-945d-fae603d78f89 true Tangent Tangent false 0 4335 -3697 53 20 4363 -3687 Curve parameter at the specified length da4c5437-7848-496c-b53a-7842912a6a34 true Parameter Parameter false 0 4335 -3677 53 20 4363 -3667 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true eefa2f3e-ae14-4853-9588-e0ad60346408 true Interpolate Interpolate 4255 -3823 125 84 4322 -3781 1 Interpolation points df8c0ec6-5fac-4764-8313-e7a47148776a true Vertices Vertices false 8d3777b7-0158-4820-9120-622aa905cd46 1 4257 -3821 50 20 4283.5 -3811 Curve degree 8035489e-8099-4a6b-8f0b-573557cc8ffa true Degree Degree false 0 4257 -3801 50 20 4283.5 -3791 1 1 {0} 1 Periodic curve 0ddd8548-ed83-4c21-a12b-2a19ff7067e8 true Periodic Periodic false 0 4257 -3781 50 20 4283.5 -3771 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 4871b378-5d48-4299-a11f-818b754ea8ba true KnotStyle KnotStyle false 0 4257 -3761 50 20 4283.5 -3751 1 1 {0} 2 Resulting nurbs curve e2f91283-565e-4ab1-9d00-f5fd3962d8aa true Curve Curve false 0 4337 -3821 41 26 4359 -3807.667 Curve length d7ab0794-2125-44ea-a786-889086e9224f true Length Length false 0 4337 -3795 41 27 4359 -3781 Curve domain 4d96f078-c2cb-4b7a-85c1-451ddbb400a1 true Domain Domain false 0 4337 -3768 41 27 4359 -3754.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true a9846cd4-c92f-4ca4-904e-88b9fe76c39c true Create Material Create Material 4246 -3947 144 104 4330 -3895 Colour of the diffuse channel 4081cfba-8922-4ccc-b948-7aba29e7e1e4 true Diffuse Diffuse false 0 4248 -3945 67 20 4283 -3935 1 1 {0} 255;184;184;184 Colour of the specular highlight d723a763-d553-4cc2-ab56-75c9564fa4ff true Specular Specular false 0 4248 -3925 67 20 4283 -3915 1 1 {0} 255;0;255;255 Emissive colour of the material 2ce26172-d066-4510-90d0-821d66b9c178 true Emission Emission false 0 4248 -3905 67 20 4283 -3895 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 1c055ac1-e75c-42d8-85f9-17e5fe94c3c0 true Transparency Transparency false 0 4248 -3885 67 20 4283 -3875 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 26da2058-31ab-414b-81d8-a0ef9a78f436 true Shine Shine false 0 4248 -3865 67 20 4283 -3855 1 1 {0} 100 Resulting material c4947d2a-cae5-43ca-8a4e-5871ca9ef4cc true Material Material false 0 4345 -3945 43 100 4368 -3895 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 100d237b-fd67-4830-be89-c236745d92e8 true Custom Preview Custom Preview 4277 -4007 82 44 4345 -3985 Geometry to preview true 55d282f5-6904-4842-8806-7ff55e58df22 true Geometry Geometry false e2f91283-565e-4ab1-9d00-f5fd3962d8aa 1 4279 -4005 51 20 4306 -3995 The material override 22bdecdb-6352-498a-997a-71934bc18892 true Material Material false c4947d2a-cae5-43ca-8a4e-5871ca9ef4cc 1 4279 -3985 51 20 4306 -3975 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 6a9f6fc8-e007-4c87-9e66-f55fa953e45c 94fef812-42f9-4896-95a0-5c758161262c 255409ab-7bab-43a8-aaea-5e6d3f7310ab a091b70d-3ba1-4305-bb37-e15b698fe16a 2f126b04-498b-4c3f-b6b9-3930e501651f 4df78a5a-5077-4e48-a01a-683d75226473 26121879-3995-4c35-a66b-5ea41fec4602 245de714-0f3c-45d0-b6c4-c41f9515e3fa f997ee14-2084-4ab4-9437-5e10d7cd52d4 3f5a2e69-963e-465f-9a2d-669b8d27d21b 2ac319ec-fa3b-48a9-b5bc-e02e9273722f 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 75e33218-a1f1-47f6-84f2-61f99d162294 f4498488-3182-41de-bfe4-5dd1a2ecdfc7 a98f3a41-8c19-4e9e-913a-28e05e4daf27 e4f5b0a2-58e9-4e30-9461-33f00d5672c4 ca4c5c4d-c0a4-480f-b0d8-31eaa72ee7f9 a798d6fb-4c16-4f3b-bb88-1cde76f46b6c b19c1b10-a682-4bbb-addc-9ac35992fdbc 42179dd5-e5d6-452c-b478-e8ccc4329041 ac4acc33-29c1-4609-86ba-b90878e9b36f 3dc4cf53-4a61-4a5b-9d43-57fdb91b7ff2 22 cd50e1b3-e2b3-4550-979f-3a1e22383084 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 2f126b04-498b-4c3f-b6b9-3930e501651f 4df78a5a-5077-4e48-a01a-683d75226473 26121879-3995-4c35-a66b-5ea41fec4602 245de714-0f3c-45d0-b6c4-c41f9515e3fa f997ee14-2084-4ab4-9437-5e10d7cd52d4 3f5a2e69-963e-465f-9a2d-669b8d27d21b 2ac319ec-fa3b-48a9-b5bc-e02e9273722f 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 75e33218-a1f1-47f6-84f2-61f99d162294 f4498488-3182-41de-bfe4-5dd1a2ecdfc7 a98f3a41-8c19-4e9e-913a-28e05e4daf27 d8ca333f-274c-4def-b0be-659a62d86c0c 12 6a9f6fc8-e007-4c87-9e66-f55fa953e45c Group dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 94fef812-42f9-4896-95a0-5c758161262c true Relative Differences Relative Differences 4244 -4137 128 28 4297 -4123 1 List of data to operate on (numbers or points or vectors allowed) 367de0f1-cc3a-4c51-94e2-68aeffec04de true Values Values false a091b70d-3ba1-4305-bb37-e15b698fe16a 1 4246 -4135 36 24 4265.5 -4123 1 Differences between consecutive items fe0b0f9d-25f6-4ef7-b130-46e021fb117c true Differenced Differenced false 0 4312 -4135 58 24 4342.5 -4123 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 255409ab-7bab-43a8-aaea-5e6d3f7310ab true Relay false fe0b0f9d-25f6-4ef7-b130-46e021fb117c 1 4288 -4171 40 16 4308 -4163 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a091b70d-3ba1-4305-bb37-e15b698fe16a true Relay false 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 1 4288 -4089 40 16 4308 -4081 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 2f126b04-498b-4c3f-b6b9-3930e501651f true Line SDL Line SDL 4243 -4866 122 64 4323 -4834 Line start point 67607b47-bb2d-4d1c-8424-3d09b8cfdd12 true Start Start false 8d3777b7-0158-4820-9120-622aa905cd46 1 4245 -4864 63 20 4286 -4854 Line tangent (direction) 729a0858-a439-4b71-ba15-9220fe10ce4e true Direction Direction false 4df78a5a-5077-4e48-a01a-683d75226473 1 4245 -4844 63 20 4286 -4834 1 1 {0} 0 0 1 Line length 0a98c27f-4e50-46be-8fad-f9ed4377317b ABS(X) true Length Length false 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 1 4245 -4824 63 20 4286 -4814 1 1 {0} 1 Line segment 8ed14837-7174-47e7-a5b8-f4c28f3778d0 true Line Line false 0 4338 -4864 25 60 4352 -4834 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 4df78a5a-5077-4e48-a01a-683d75226473 true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4284 -4784 40 16 4304 -4776 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 245de714-0f3c-45d0-b6c4-c41f9515e3fa true Remap Numbers Remap Numbers 4246 -4502 115 64 4301 -4470 Value to remap 78220fc5-ef9a-417a-905c-062cb8ca437d true Value Value false 2ac319ec-fa3b-48a9-b5bc-e02e9273722f 1 4248 -4500 38 20 4268.5 -4490 Source domain 00a02fca-ec20-4c0f-8779-783399520de1 true Source Source false 6638590f-751a-4472-9612-af35db224cba 1 4248 -4480 38 20 4268.5 -4470 1 1 {0} 0 1 Target domain ab1aeac0-047f-474f-90dd-c38a9f26cdfb true Target Target false 0 4248 -4460 38 20 4268.5 -4450 1 1 {0} -1 1 Remapped number d7a4705d-0f84-48f1-b027-18cee9d886c4 true Mapped Mapped false 0 4316 -4500 43 30 4339 -4485 Remapped and clipped number 438d903d-32fb-47b6-92da-9741aaba417c true Clipped Clipped false 0 4316 -4470 43 30 4339 -4455 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true f997ee14-2084-4ab4-9437-5e10d7cd52d4 true Bounds Bounds 4243 -4419 122 28 4307 -4405 1 Numbers to include in Bounds d5615fe7-fa1d-4238-8ef1-e76cdc0dbe53 true Numbers Numbers false 2ac319ec-fa3b-48a9-b5bc-e02e9273722f 1 4245 -4417 47 24 4270 -4405 Numeric Domain between the lowest and highest numbers in {N} 6638590f-751a-4472-9612-af35db224cba true Domain Domain false 0 4322 -4417 41 24 4344 -4405 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c 245de714-0f3c-45d0-b6c4-c41f9515e3fa f997ee14-2084-4ab4-9437-5e10d7cd52d4 c3830b7d-0858-410d-89db-9af833da8bf5 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 2ac319ec-fa3b-48a9-b5bc-e02e9273722f 26121879-3995-4c35-a66b-5ea41fec4602 75e33218-a1f1-47f6-84f2-61f99d162294 2cf94056-6af5-459d-9d0b-edb8f8adea38 15 3f5a2e69-963e-465f-9a2d-669b8d27d21b Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2ac319ec-fa3b-48a9-b5bc-e02e9273722f true Relay false 255409ab-7bab-43a8-aaea-5e6d3f7310ab 1 4284 -4374 40 16 4304 -4366 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 true Relay false 00fc5d31-f74d-43f8-ae07-8bb418bc4c5a 1 4284 -4741 40 16 4304 -4733 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 75e33218-a1f1-47f6-84f2-61f99d162294 true Multiplication Multiplication 4263 -4702 82 44 4294 -4680 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 4341fd90-ace9-4860-9ac1-6924c6f803bc true A A true 4333ce65-0670-473c-869e-fd9bd04229cf 1 4265 -4700 14 20 4273.5 -4690 Second item for multiplication b18c525e-47bb-4a4e-8c7f-7d37922cc8ac true B B true 2cf94056-6af5-459d-9d0b-edb8f8adea38 1 4265 -4680 14 20 4273.5 -4670 Result of multiplication 00fc5d31-f74d-43f8-ae07-8bb418bc4c5a true Result Result false 0 4309 -4700 34 40 4327.5 -4680 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true f4498488-3182-41de-bfe4-5dd1a2ecdfc7 true Multiplication Multiplication 4263 -4601 82 44 4294 -4579 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 69c0e289-3b78-44a2-aa4a-c278eba7c73c true A A true d7a4705d-0f84-48f1-b027-18cee9d886c4 1 4265 -4599 14 20 4273.5 -4589 Second item for multiplication 2e5c99f5-44c0-4d0c-be99-a3a244abc0fc true B B true a98f3a41-8c19-4e9e-913a-28e05e4daf27 1 4265 -4579 14 20 4273.5 -4569 Result of multiplication 4333ce65-0670-473c-869e-fd9bd04229cf true Result Result false 0 4309 -4599 34 40 4327.5 -4579 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a98f3a41-8c19-4e9e-913a-28e05e4daf27 true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4284 -4539 40 16 4304 -4531 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 255409ab-7bab-43a8-aaea-5e6d3f7310ab a091b70d-3ba1-4305-bb37-e15b698fe16a 94fef812-42f9-4896-95a0-5c758161262c 3 e4f5b0a2-58e9-4e30-9461-33f00d5672c4 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true ca4c5c4d-c0a4-480f-b0d8-31eaa72ee7f9 true Create Material Create Material 4232 -4990 144 104 4316 -4938 Colour of the diffuse channel 25494929-7b84-4be2-88a7-a974558005a2 true Diffuse Diffuse false 0 4234 -4988 67 20 4269 -4978 1 1 {0} 255;201;201;201 Colour of the specular highlight 6c0fb82e-c5d5-479e-a322-ece4a03394a8 true Specular Specular false 0 4234 -4968 67 20 4269 -4958 1 1 {0} 255;0;255;255 Emissive colour of the material 236b244e-0db7-45f2-a214-61c0d38d3335 true Emission Emission false 0 4234 -4948 67 20 4269 -4938 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 9395af38-376a-418d-904c-112532c004a0 true Transparency Transparency false 0 4234 -4928 67 20 4269 -4918 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 7669361e-69da-4c47-a524-bcffd7cd2c0e true Shine Shine false 0 4234 -4908 67 20 4269 -4898 1 1 {0} 100 Resulting material 6bd6548b-d902-40e4-bf34-1049267302b0 true Material Material false 0 4331 -4988 43 100 4354 -4938 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true a798d6fb-4c16-4f3b-bb88-1cde76f46b6c true Custom Preview Custom Preview 4263 -5052 82 44 4331 -5030 Geometry to preview true 64371237-cecb-44a0-be34-2f89426199a7 true Geometry Geometry false 8ed14837-7174-47e7-a5b8-f4c28f3778d0 1 4265 -5050 51 20 4292 -5040 The material override 788d98bc-c6a3-46b2-93c7-68523390da47 true Material Material false 6bd6548b-d902-40e4-bf34-1049267302b0 1 4265 -5030 51 20 4292 -5020 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true b19c1b10-a682-4bbb-addc-9ac35992fdbc true Evaluate Length Evaluate Length 4232 -5135 144 64 4306 -5103 Curve to evaluate e85fd3f2-51bc-4d31-9131-07fedc772719 true Curve Curve false 8ed14837-7174-47e7-a5b8-f4c28f3778d0 1 4234 -5133 57 20 4264 -5123 Length factor for curve evaluation bdc17ddd-a4be-4617-a9cf-bd0107e5aa04 true Length Length false 0 4234 -5113 57 20 4264 -5103 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) a0e1fe99-c517-44b7-9f34-ad29473bdb7f true Normalized Normalized false 0 4234 -5093 57 20 4264 -5083 1 1 {0} true Point at the specified length bc29cb88-c13f-4b12-8911-f97c489562ea true Point Point false 0 4321 -5133 53 20 4349 -5123 Tangent vector at the specified length 057801e0-d1f6-4f98-b8b2-544c0c8d667e true Tangent Tangent false 0 4321 -5113 53 20 4349 -5103 Curve parameter at the specified length 349e7af4-bf20-41de-8576-1c2270ac51e2 true Parameter Parameter false 0 4321 -5093 53 20 4349 -5083 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 42179dd5-e5d6-452c-b478-e8ccc4329041 true Interpolate Interpolate 4241 -5239 125 84 4308 -5197 1 Interpolation points bd50e477-c50b-446f-bd00-4ad11163cf45 true Vertices Vertices false bc29cb88-c13f-4b12-8911-f97c489562ea 1 4243 -5237 50 20 4269.5 -5227 Curve degree a1dd5264-df8e-453a-b0ea-cffa70db96a7 true Degree Degree false 0 4243 -5217 50 20 4269.5 -5207 1 1 {0} 1 Periodic curve c48e02d6-e69a-45aa-b9a2-e7d4fdb553dd true Periodic Periodic false 0 4243 -5197 50 20 4269.5 -5187 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 0d00a672-6d63-4ea6-a79b-ba3516801867 true KnotStyle KnotStyle false 0 4243 -5177 50 20 4269.5 -5167 1 1 {0} 2 Resulting nurbs curve 6b4d4575-8108-4fc8-bf3f-b8ba1640b2d0 true Curve Curve false 0 4323 -5237 41 26 4345 -5223.667 Curve length 4203e371-b092-4bed-8271-4fcb88cff3d7 true Length Length false 0 4323 -5211 41 27 4345 -5197 Curve domain de6c5fcd-a830-496a-a94c-439d602ba99e true Domain Domain false 0 4323 -5184 41 27 4345 -5170.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true ac4acc33-29c1-4609-86ba-b90878e9b36f true Create Material Create Material 4232 -5363 144 104 4316 -5311 Colour of the diffuse channel e9457f5d-35ca-4456-8b63-804cd55e6539 true Diffuse Diffuse false 0 4234 -5361 67 20 4269 -5351 1 1 {0} 255;176;176;176 Colour of the specular highlight 4fd826f0-7cea-4d4e-886d-6e7e2995d0f7 true Specular Specular false 0 4234 -5341 67 20 4269 -5331 1 1 {0} 255;0;255;255 Emissive colour of the material 0bd816ff-a97c-4e7c-92cf-85b7122f1f60 true Emission Emission false 0 4234 -5321 67 20 4269 -5311 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 06efe0fa-c4ae-486d-be57-157afe35ad5a true Transparency Transparency false 0 4234 -5301 67 20 4269 -5291 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 474b5db1-c730-44c9-ae2f-fbb407650768 true Shine Shine false 0 4234 -5281 67 20 4269 -5271 1 1 {0} 100 Resulting material d3757f9f-d417-4624-9492-43eea0d3d0aa true Material Material false 0 4331 -5361 43 100 4354 -5311 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 3dc4cf53-4a61-4a5b-9d43-57fdb91b7ff2 true Custom Preview Custom Preview 4263 -5423 82 44 4331 -5401 Geometry to preview true 7936315f-1721-480e-aa2d-cbdb015069de true Geometry Geometry false 6b4d4575-8108-4fc8-bf3f-b8ba1640b2d0 1 4265 -5421 51 20 4292 -5411 The material override 7e6ab2af-b6bc-4f1d-a6a1-2196adb89854 true Material Material false d3757f9f-d417-4624-9492-43eea0d3d0aa 1 4265 -5401 51 20 4292 -5391 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5ae9c4c4-0fdd-419a-8b20-550467d40768 d84be735-4afa-4e87-89fd-0dd91e7ea031 eff3ee73-0b0b-4d47-b016-c930d4e069aa 4041360f-7411-470c-899a-d7a45700e87d 1a6a7949-8787-48bd-b33a-603df220e9b8 2661cd71-a4df-4b62-bf83-1849fe5833ca f9947fea-968d-4a00-a6cd-c45f937d1dce 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 0894cd88-7d1c-4d0c-a116-d02b2766f541 91601ee3-b999-49b3-bc88-c3dbb40a1218 e8543cfb-31ef-466a-8c10-2694678ddb24 ce190195-9538-44f7-9ae0-aa92b1dbb12a 999185a1-bdc2-49c3-b856-3479900f254b b9d84ba3-9f37-4bdd-825b-3150762b1c2f 68c98248-62ad-4df2-af60-f6ecf0eeb005 36f70708-8c92-4e52-8db3-af3700d6ed05 a18f6543-bddc-4707-b9f1-c3de54d04df8 766feee9-94ce-4ae1-b353-3eb30b90d548 2d5623dd-b6c4-4bca-99dc-1fdc753fa7a0 a6e7cf50-568a-4a69-b260-d8239fd6cfd5 cbcf528b-ec99-4366-88c9-7821ca0b3868 eec36f4c-60cb-4742-bd1d-d2f59b355b07 22 64e60f06-119f-42f8-b231-33efdd935130 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1a6a7949-8787-48bd-b33a-603df220e9b8 2661cd71-a4df-4b62-bf83-1849fe5833ca f9947fea-968d-4a00-a6cd-c45f937d1dce 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 0894cd88-7d1c-4d0c-a116-d02b2766f541 91601ee3-b999-49b3-bc88-c3dbb40a1218 e8543cfb-31ef-466a-8c10-2694678ddb24 ce190195-9538-44f7-9ae0-aa92b1dbb12a 999185a1-bdc2-49c3-b856-3479900f254b b9d84ba3-9f37-4bdd-825b-3150762b1c2f 68c98248-62ad-4df2-af60-f6ecf0eeb005 4bb2abaa-9c90-4ee1-9d3e-af6d1b129f69 aeba0375-f313-4a4a-8b7e-4eacde97eba4 13 5ae9c4c4-0fdd-419a-8b20-550467d40768 Group dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true d84be735-4afa-4e87-89fd-0dd91e7ea031 true Relative Differences Relative Differences 4239 -5622 128 28 4292 -5608 1 List of data to operate on (numbers or points or vectors allowed) 3e8be18c-9be8-4aa4-90e5-ccd06e444dd9 true Values Values false 4041360f-7411-470c-899a-d7a45700e87d 1 4241 -5620 36 24 4260.5 -5608 1 Differences between consecutive items 1f562b80-f400-412b-99a5-ec6b24e18c2f true Differenced Differenced false 0 4307 -5620 58 24 4337.5 -5608 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object eff3ee73-0b0b-4d47-b016-c930d4e069aa true Relay false 1f562b80-f400-412b-99a5-ec6b24e18c2f 1 4283 -5656 40 16 4303 -5648 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 4041360f-7411-470c-899a-d7a45700e87d true Relay false 255409ab-7bab-43a8-aaea-5e6d3f7310ab 1 4283 -5574 40 16 4303 -5566 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 1a6a7949-8787-48bd-b33a-603df220e9b8 true Line SDL Line SDL 4241 -6353 122 64 4321 -6321 Line start point 1ca0d20b-076b-4ed9-a752-42758dee84b4 true Start Start false bc29cb88-c13f-4b12-8911-f97c489562ea 1 4243 -6351 63 20 4284 -6341 Line tangent (direction) 7835ecf1-4eba-488d-a140-57124bdc900a true Direction Direction false 2661cd71-a4df-4b62-bf83-1849fe5833ca 1 4243 -6331 63 20 4284 -6321 1 1 {0} 0 0 1 Line length d3022bee-fd8d-493c-b155-389266eb8c7a ABS(X) true Length Length false ce190195-9538-44f7-9ae0-aa92b1dbb12a 1 4243 -6311 63 20 4284 -6301 1 1 {0} 1 Line segment 6ac2ff09-23b9-49c7-9641-907d5bc90f18 true Line Line false 0 4336 -6351 25 60 4350 -6321 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2661cd71-a4df-4b62-bf83-1849fe5833ca true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4282 -6271 40 16 4302 -6263 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 true Remap Numbers Remap Numbers 4244 -5989 115 64 4299 -5957 Value to remap 58781ee9-9b39-42ed-acec-28c2b6c8c7f0 true Value Value false e8543cfb-31ef-466a-8c10-2694678ddb24 1 4246 -5987 38 20 4266.5 -5977 Source domain dbb0ecd7-8560-4144-b022-18afb6942aa5 true Source Source false ace4b3f6-f707-4fd4-a9bd-fe4b81a1cc43 1 4246 -5967 38 20 4266.5 -5957 1 1 {0} 0 1 Target domain 14bea626-15dc-4bcd-a656-c2ae2fc2288d true Target Target false 0 4246 -5947 38 20 4266.5 -5937 1 1 {0} -1 1 Remapped number 05225228-e222-49df-931b-a1dfeaeab466 true Mapped Mapped false 0 4314 -5987 43 30 4337 -5972 Remapped and clipped number c94c03ce-a99e-45d9-8d97-aa84fed03f33 true Clipped Clipped false 0 4314 -5957 43 30 4337 -5942 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 0894cd88-7d1c-4d0c-a116-d02b2766f541 true Bounds Bounds 4241 -5906 122 28 4305 -5892 1 Numbers to include in Bounds 46ce88e0-d336-48e8-9271-b95f11a869ac true Numbers Numbers false e8543cfb-31ef-466a-8c10-2694678ddb24 1 4243 -5904 47 24 4268 -5892 Numeric Domain between the lowest and highest numbers in {N} ace4b3f6-f707-4fd4-a9bd-fe4b81a1cc43 true Domain Domain false 0 4320 -5904 41 24 4342 -5892 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 0894cd88-7d1c-4d0c-a116-d02b2766f541 c3830b7d-0858-410d-89db-9af833da8bf5 ce190195-9538-44f7-9ae0-aa92b1dbb12a e8543cfb-31ef-466a-8c10-2694678ddb24 f9947fea-968d-4a00-a6cd-c45f937d1dce 999185a1-bdc2-49c3-b856-3479900f254b 14 91601ee3-b999-49b3-bc88-c3dbb40a1218 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e8543cfb-31ef-466a-8c10-2694678ddb24 true Relay false eff3ee73-0b0b-4d47-b016-c930d4e069aa 1 4282 -5861 40 16 4302 -5853 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object ce190195-9538-44f7-9ae0-aa92b1dbb12a true Relay false ace3cccc-1ad7-4fc7-bbb4-fbac97ba8718 1 4282 -6228 40 16 4302 -6220 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 999185a1-bdc2-49c3-b856-3479900f254b true Multiplication Multiplication 4261 -6189 82 44 4292 -6167 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 5fb00b97-f199-404b-a29d-da89b6dde567 true A A true eaa9d3a2-bd6b-4033-a1a9-20654334c897 1 4263 -6187 14 20 4271.5 -6177 Second item for multiplication 64d117fe-aace-435f-8590-100a0bea0086 true B B true aeba0375-f313-4a4a-8b7e-4eacde97eba4 1 4263 -6167 14 20 4271.5 -6157 Result of multiplication ace3cccc-1ad7-4fc7-bbb4-fbac97ba8718 true Result Result false 0 4307 -6187 34 40 4325.5 -6167 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true b9d84ba3-9f37-4bdd-825b-3150762b1c2f true Multiplication Multiplication 4261 -6088 82 44 4292 -6066 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 6ae60ffc-2358-4b3f-a9f1-2f9a6c2b73ed true A A true 05225228-e222-49df-931b-a1dfeaeab466 1 4263 -6086 14 20 4271.5 -6076 Second item for multiplication b01dfe5b-e061-4a22-ae58-0629c2f8cabd true B B true 68c98248-62ad-4df2-af60-f6ecf0eeb005 1 4263 -6066 14 20 4271.5 -6056 Result of multiplication eaa9d3a2-bd6b-4033-a1a9-20654334c897 true Result Result false 0 4307 -6086 34 40 4325.5 -6066 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 68c98248-62ad-4df2-af60-f6ecf0eeb005 true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4282 -6026 40 16 4302 -6018 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects eff3ee73-0b0b-4d47-b016-c930d4e069aa 4041360f-7411-470c-899a-d7a45700e87d d84be735-4afa-4e87-89fd-0dd91e7ea031 3 36f70708-8c92-4e52-8db3-af3700d6ed05 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true a18f6543-bddc-4707-b9f1-c3de54d04df8 true Create Material Create Material 4230 -6477 144 104 4314 -6425 Colour of the diffuse channel 4bfe5e86-c41e-4f30-89af-a24c4bd45b50 true Diffuse Diffuse false 0 4232 -6475 67 20 4267 -6465 1 1 {0} 255;194;194;194 Colour of the specular highlight 77e1e980-2949-416c-a018-b3c2ef85dcdf true Specular Specular false 0 4232 -6455 67 20 4267 -6445 1 1 {0} 255;0;255;255 Emissive colour of the material f2ad1c23-19e6-4bb7-a5c1-2bd0d1e214a1 true Emission Emission false 0 4232 -6435 67 20 4267 -6425 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 8b9db721-70d1-424e-b550-a789b17c303b true Transparency Transparency false 0 4232 -6415 67 20 4267 -6405 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 7fa4e3a6-021a-4881-ba4d-46293c73c225 true Shine Shine false 0 4232 -6395 67 20 4267 -6385 1 1 {0} 100 Resulting material 8e039377-5e77-484b-8fd0-fb84649ce474 true Material Material false 0 4329 -6475 43 100 4352 -6425 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 766feee9-94ce-4ae1-b353-3eb30b90d548 true Custom Preview Custom Preview 4261 -6539 82 44 4329 -6517 Geometry to preview true 296fdcd7-5819-4594-9960-b1aea4a38b5f true Geometry Geometry false 6ac2ff09-23b9-49c7-9641-907d5bc90f18 1 4263 -6537 51 20 4290 -6527 The material override 5275e0e9-2a77-4a7b-9d90-2e1073660d6a true Material Material false 8e039377-5e77-484b-8fd0-fb84649ce474 1 4263 -6517 51 20 4290 -6507 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 2d5623dd-b6c4-4bca-99dc-1fdc753fa7a0 true Evaluate Length Evaluate Length 4230 -6622 144 64 4304 -6590 Curve to evaluate 93e4ca7a-ac6e-4511-b4f4-9a97007f3708 true Curve Curve false 6ac2ff09-23b9-49c7-9641-907d5bc90f18 1 4232 -6620 57 20 4262 -6610 Length factor for curve evaluation bcb7ffad-e641-47a0-a396-e7500991bc58 true Length Length false 0 4232 -6600 57 20 4262 -6590 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) b9a1a6e8-8119-4341-ae4c-3d8415523d47 true Normalized Normalized false 0 4232 -6580 57 20 4262 -6570 1 1 {0} true Point at the specified length 67f3e77d-3352-4cab-bef0-40379ae22b9b true Point Point false 0 4319 -6620 53 20 4347 -6610 Tangent vector at the specified length c6f41415-c1d3-4db5-b0e9-411fde86fa5e true Tangent Tangent false 0 4319 -6600 53 20 4347 -6590 Curve parameter at the specified length 8b63082e-e6fb-4d63-8bef-5e12158500e0 true Parameter Parameter false 0 4319 -6580 53 20 4347 -6570 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true a6e7cf50-568a-4a69-b260-d8239fd6cfd5 true Interpolate Interpolate 4239 -6726 125 84 4306 -6684 1 Interpolation points 8ede0505-6080-49f8-8a13-222ff3826775 true Vertices Vertices false 67f3e77d-3352-4cab-bef0-40379ae22b9b 1 4241 -6724 50 20 4267.5 -6714 Curve degree 195d02d9-53aa-4d8f-972d-253ac00a5a97 true Degree Degree false 0 4241 -6704 50 20 4267.5 -6694 1 1 {0} 1 Periodic curve ba7e5a28-b315-4375-9e68-04c4735b8c3d true Periodic Periodic false 0 4241 -6684 50 20 4267.5 -6674 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) b7284919-07be-414c-bbf6-c22fffdb03ae true KnotStyle KnotStyle false 0 4241 -6664 50 20 4267.5 -6654 1 1 {0} 2 Resulting nurbs curve 4371434e-cdd5-4319-b921-c6483ea00395 true Curve Curve false 0 4321 -6724 41 26 4343 -6710.667 Curve length a6fc1d64-6585-4a06-ab5d-ab49123079c1 true Length Length false 0 4321 -6698 41 27 4343 -6684 Curve domain f6768abc-a465-4932-8f04-ec5193f649a6 true Domain Domain false 0 4321 -6671 41 27 4343 -6657.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true cbcf528b-ec99-4366-88c9-7821ca0b3868 true Create Material Create Material 4230 -6850 144 104 4314 -6798 Colour of the diffuse channel 2fbe3cfd-ff90-4db1-b765-c7e1d04fbb37 true Diffuse Diffuse false 0 4232 -6848 67 20 4267 -6838 1 1 {0} 255;168;168;168 Colour of the specular highlight 88874422-d8f7-4c08-babe-a5c500b043c3 true Specular Specular false 0 4232 -6828 67 20 4267 -6818 1 1 {0} 255;0;255;255 Emissive colour of the material 2df3ddb1-d60b-41d7-a15b-33a40d3773dd true Emission Emission false 0 4232 -6808 67 20 4267 -6798 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 3d4f6ac3-b3d4-4c34-9edc-d645adaa9797 true Transparency Transparency false 0 4232 -6788 67 20 4267 -6778 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 76f0cb28-085f-42f6-9306-b3bcd5d525cf true Shine Shine false 0 4232 -6768 67 20 4267 -6758 1 1 {0} 100 Resulting material 296b7776-70cb-4253-9bce-d083e5d76649 true Material Material false 0 4329 -6848 43 100 4352 -6798 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true eec36f4c-60cb-4742-bd1d-d2f59b355b07 true Custom Preview Custom Preview 4261 -6910 82 44 4329 -6888 Geometry to preview true 042b6aa7-5cf0-41f2-9ca6-b9f834ffa2a5 true Geometry Geometry false 4371434e-cdd5-4319-b921-c6483ea00395 1 4263 -6908 51 20 4290 -6898 The material override 9ab58b30-8fbb-437d-85eb-19be1daaa4fc true Material Material false 296b7776-70cb-4253-9bce-d083e5d76649 1 4263 -6888 51 20 4290 -6878 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects a90d60d2-8b5e-48d7-a33a-454602481a06 7bf6b03e-3d8e-48ad-8a8f-5afcba410d06 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 98a18393-1059-451a-ac38-07eec50efbb7 5cd4bee0-683e-4287-be9c-d6cdc684ddd0 9d4b00cb-659e-4035-8c4c-0bfab49f732e 06c37c6f-92ed-4603-a7ef-6624026b46c0 60f1953e-44fb-46e3-bd82-14c3da791de3 72196528-b84a-4f1b-b7ca-76264abdc748 fa933163-8b78-458d-b1ac-825f7bd3f6fd 9c9e8065-86c2-4798-93bf-1eb80b288f2a 69c43f9f-8ad5-4294-b6b7-417f23e6558d bc09a16c-abd9-4fa6-b060-f38c5f357782 d940ab37-fb9b-4eaf-b5bf-126c8adb4e50 34a14a42-f662-4a1d-9a93-054d477ac704 231e1df4-9237-4d03-9cb4-cb6329f1e5b4 4ac7d93a-83bc-4097-a09f-085ff4b7a496 b176544c-2084-4538-95e4-30ad483bbbc3 3f7c293b-8bda-4841-bb51-5b3fee67daac 923b0d30-c122-4312-be66-898daa214df3 d13ab75b-aade-4726-b7f6-bd13c77e36b4 254266e4-e3e4-4446-adb4-c5e696068203 22 7c42b68f-945c-4b1c-9b43-f8f3a6fcd50f Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5cd4bee0-683e-4287-be9c-d6cdc684ddd0 9d4b00cb-659e-4035-8c4c-0bfab49f732e 06c37c6f-92ed-4603-a7ef-6624026b46c0 60f1953e-44fb-46e3-bd82-14c3da791de3 72196528-b84a-4f1b-b7ca-76264abdc748 fa933163-8b78-458d-b1ac-825f7bd3f6fd 9c9e8065-86c2-4798-93bf-1eb80b288f2a 69c43f9f-8ad5-4294-b6b7-417f23e6558d bc09a16c-abd9-4fa6-b060-f38c5f357782 d940ab37-fb9b-4eaf-b5bf-126c8adb4e50 34a14a42-f662-4a1d-9a93-054d477ac704 70b9b4d5-9f59-4bec-8b95-44a825aff278 12 a90d60d2-8b5e-48d7-a33a-454602481a06 Group dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 7bf6b03e-3d8e-48ad-8a8f-5afcba410d06 true Relative Differences Relative Differences 4243 -7108 128 28 4296 -7094 1 List of data to operate on (numbers or points or vectors allowed) ffe32b16-1490-4131-bd81-59c1fffe0f1e true Values Values false 98a18393-1059-451a-ac38-07eec50efbb7 1 4245 -7106 36 24 4264.5 -7094 1 Differences between consecutive items e56d41ed-bf3f-48d5-8d46-11ca14422590 true Differenced Differenced false 0 4311 -7106 58 24 4341.5 -7094 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 true Relay false e56d41ed-bf3f-48d5-8d46-11ca14422590 1 4287 -7142 40 16 4307 -7134 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 98a18393-1059-451a-ac38-07eec50efbb7 true Relay false eff3ee73-0b0b-4d47-b016-c930d4e069aa 1 4287 -7060 40 16 4307 -7052 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 5cd4bee0-683e-4287-be9c-d6cdc684ddd0 true Line SDL Line SDL 4240 -7839 122 64 4320 -7807 Line start point 357d12be-6f06-405b-8a7d-67b2956260bd true Start Start false 67f3e77d-3352-4cab-bef0-40379ae22b9b 1 4242 -7837 63 20 4283 -7827 Line tangent (direction) 95d26d76-69dd-4889-bb53-dbce30dc7189 true Direction Direction false 9d4b00cb-659e-4035-8c4c-0bfab49f732e 1 4242 -7817 63 20 4283 -7807 1 1 {0} 0 0 1 Line length 9332fed5-0709-4b9c-9e4e-e93bb1384bb9 ABS(X) true Length Length false 69c43f9f-8ad5-4294-b6b7-417f23e6558d 1 4242 -7797 63 20 4283 -7787 1 1 {0} 1 Line segment 4bee827f-0abc-4f89-8ac3-16ac83a96459 true Line Line false 0 4335 -7837 25 60 4349 -7807 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 9d4b00cb-659e-4035-8c4c-0bfab49f732e true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4281 -7757 40 16 4301 -7749 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 60f1953e-44fb-46e3-bd82-14c3da791de3 true Remap Numbers Remap Numbers 4243 -7475 115 64 4298 -7443 Value to remap 48593c74-64e0-426a-896d-644ed39e3452 true Value Value false 9c9e8065-86c2-4798-93bf-1eb80b288f2a 1 4245 -7473 38 20 4265.5 -7463 Source domain 26edeb82-cc25-43f8-a59f-bd4e6e265821 true Source Source false 52d6fa59-3d0a-4f1a-96f7-cd7d2cd8dfc3 1 4245 -7453 38 20 4265.5 -7443 1 1 {0} 0 1 Target domain 3e73bc70-ae01-41e3-8294-9ace75912b23 true Target Target false 0 4245 -7433 38 20 4265.5 -7423 1 1 {0} -1 1 Remapped number 624b5528-ad9d-4b73-a9c1-f233a4b61bf6 true Mapped Mapped false 0 4313 -7473 43 30 4336 -7458 Remapped and clipped number 3783a63c-237b-41f7-a2fe-b7c3bb57d61b true Clipped Clipped false 0 4313 -7443 43 30 4336 -7428 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 72196528-b84a-4f1b-b7ca-76264abdc748 true Bounds Bounds 4240 -7392 122 28 4304 -7378 1 Numbers to include in Bounds b09502b8-e9f1-45b8-a33e-dbb71e90a920 true Numbers Numbers false 9c9e8065-86c2-4798-93bf-1eb80b288f2a 1 4242 -7390 47 24 4267 -7378 Numeric Domain between the lowest and highest numbers in {N} 52d6fa59-3d0a-4f1a-96f7-cd7d2cd8dfc3 true Domain Domain false 0 4319 -7390 41 24 4341 -7378 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f51f5f2d-941f-41ef-b98f-20f88c0f615c afc9108c-9db9-441a-9c43-d667d1c32b78 58b4763e-c14f-475c-bea3-43146b32e6bd 569a059d-e90a-4cb8-86b1-26bffb26bfcb 80033146-5b4f-404e-b6dc-65dc753db8a1 145eea6c-da47-45fb-84e7-715c62530022 22307018-81e5-47cd-acd7-460831a3214c 60f1953e-44fb-46e3-bd82-14c3da791de3 72196528-b84a-4f1b-b7ca-76264abdc748 c3830b7d-0858-410d-89db-9af833da8bf5 69c43f9f-8ad5-4294-b6b7-417f23e6558d 9c9e8065-86c2-4798-93bf-1eb80b288f2a 06c37c6f-92ed-4603-a7ef-6624026b46c0 bc09a16c-abd9-4fa6-b060-f38c5f357782 d20d51a6-0c15-4c64-97de-546619bd377a 15 fa933163-8b78-458d-b1ac-825f7bd3f6fd Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 9c9e8065-86c2-4798-93bf-1eb80b288f2a true Relay false 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 1 4281 -7347 40 16 4301 -7339 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 69c43f9f-8ad5-4294-b6b7-417f23e6558d true Relay false c4fd7ded-46c8-4ad0-8563-fdfb6416cee1 1 4281 -7714 40 16 4301 -7706 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true bc09a16c-abd9-4fa6-b060-f38c5f357782 true Multiplication Multiplication 4260 -7675 82 44 4291 -7653 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication e931389e-d169-4b88-ba1a-7c89d5f8bad3 true A A true 7c83abf2-e560-41e6-98fe-488382df6abf 1 4262 -7673 14 20 4270.5 -7663 Second item for multiplication b104166d-8536-42fb-bf25-619fe95d6218 true B B true d20d51a6-0c15-4c64-97de-546619bd377a 1 4262 -7653 14 20 4270.5 -7643 Result of multiplication c4fd7ded-46c8-4ad0-8563-fdfb6416cee1 true Result Result false 0 4306 -7673 34 40 4324.5 -7653 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true d940ab37-fb9b-4eaf-b5bf-126c8adb4e50 true Multiplication Multiplication 4260 -7574 82 44 4291 -7552 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 0b530e6f-5ebd-46de-a702-011d2a81307f true A A true 624b5528-ad9d-4b73-a9c1-f233a4b61bf6 1 4262 -7572 14 20 4270.5 -7562 Second item for multiplication 7f3bd519-2e72-4e91-9045-7f9488218fbb true B B true 34a14a42-f662-4a1d-9a93-054d477ac704 1 4262 -7552 14 20 4270.5 -7542 Result of multiplication 7c83abf2-e560-41e6-98fe-488382df6abf true Result Result false 0 4306 -7572 34 40 4324.5 -7552 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 34a14a42-f662-4a1d-9a93-054d477ac704 true Relay false db26abf6-6a27-458b-8296-41880794893f 1 4281 -7512 40 16 4301 -7504 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 98a18393-1059-451a-ac38-07eec50efbb7 7bf6b03e-3d8e-48ad-8a8f-5afcba410d06 3 231e1df4-9237-4d03-9cb4-cb6329f1e5b4 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 4ac7d93a-83bc-4097-a09f-085ff4b7a496 true Create Material Create Material 4229 -7963 144 104 4313 -7911 Colour of the diffuse channel 3ef6a971-3e75-463b-8293-b6d367e3c87e true Diffuse Diffuse false 0 4231 -7961 67 20 4266 -7951 1 1 {0} 255;186;186;186 Colour of the specular highlight 40d2861e-7832-483d-ae74-a93e1b2c464a true Specular Specular false 0 4231 -7941 67 20 4266 -7931 1 1 {0} 255;0;255;255 Emissive colour of the material 6e7fd49c-46eb-4f33-b2f3-4f931bd738be true Emission Emission false 0 4231 -7921 67 20 4266 -7911 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent c86b6111-8fd5-4c21-a764-a53ebf94fc9b true Transparency Transparency false 0 4231 -7901 67 20 4266 -7891 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine a352bbf1-25c4-4ce1-98f2-339669fe48f8 true Shine Shine false 0 4231 -7881 67 20 4266 -7871 1 1 {0} 100 Resulting material dbf70f62-537f-4179-b958-3a9a8519ee19 true Material Material false 0 4328 -7961 43 100 4351 -7911 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true b176544c-2084-4538-95e4-30ad483bbbc3 true Custom Preview Custom Preview 4260 -8025 82 44 4328 -8003 Geometry to preview true 2b7b259b-c267-4303-8945-127bfb52841f true Geometry Geometry false 4bee827f-0abc-4f89-8ac3-16ac83a96459 1 4262 -8023 51 20 4289 -8013 The material override f17f6893-f9e7-4d3f-8c19-4c72a32eafc5 true Material Material false dbf70f62-537f-4179-b958-3a9a8519ee19 1 4262 -8003 51 20 4289 -7993 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 3f7c293b-8bda-4841-bb51-5b3fee67daac true Evaluate Length Evaluate Length 4229 -8108 144 64 4303 -8076 Curve to evaluate 8d326d08-6747-4dfc-b043-a9cab708d599 true Curve Curve false 4bee827f-0abc-4f89-8ac3-16ac83a96459 1 4231 -8106 57 20 4261 -8096 Length factor for curve evaluation 9575e16a-b9dc-45b6-ad59-1237a8df15dd true Length Length false 0 4231 -8086 57 20 4261 -8076 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 827eb3f9-fa1d-4245-889c-16958037f49c true Normalized Normalized false 0 4231 -8066 57 20 4261 -8056 1 1 {0} true Point at the specified length e19c4f4a-6476-45c5-85ec-a4bec3b7ee75 true Point Point false 0 4318 -8106 53 20 4346 -8096 Tangent vector at the specified length 7cdc97d4-ab10-4674-add5-5707c5fd1985 true Tangent Tangent false 0 4318 -8086 53 20 4346 -8076 Curve parameter at the specified length ca84891c-67ed-47da-a0e2-5c7230f5354a true Parameter Parameter false 0 4318 -8066 53 20 4346 -8056 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 923b0d30-c122-4312-be66-898daa214df3 true Interpolate Interpolate 4238 -8212 125 84 4305 -8170 1 Interpolation points c67aec7c-4ed3-46d5-8d61-c194e4d096f6 true Vertices Vertices false e19c4f4a-6476-45c5-85ec-a4bec3b7ee75 1 4240 -8210 50 20 4266.5 -8200 Curve degree afb25838-4988-4047-94a0-6e3d6925ab7e true Degree Degree false 0 4240 -8190 50 20 4266.5 -8180 1 1 {0} 1 Periodic curve 4b9d9664-1c8c-4bfe-a377-4914943cb9e3 true Periodic Periodic false 0 4240 -8170 50 20 4266.5 -8160 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 76d2c8d1-de05-4e59-87b8-d9919f4c9475 true KnotStyle KnotStyle false 0 4240 -8150 50 20 4266.5 -8140 1 1 {0} 2 Resulting nurbs curve cdae18ea-9257-4789-8ad0-379d60880a1d true Curve Curve false 0 4320 -8210 41 26 4342 -8196.667 Curve length b0bfa94c-3d40-46bc-827f-cf3598d4db23 true Length Length false 0 4320 -8184 41 27 4342 -8170 Curve domain 4ab08a2c-4633-48bc-85e1-efd2d6ce0f08 true Domain Domain false 0 4320 -8157 41 27 4342 -8143.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true d13ab75b-aade-4726-b7f6-bd13c77e36b4 true Create Material Create Material 4229 -8336 144 104 4313 -8284 Colour of the diffuse channel 62929bd9-b896-49d7-b494-a78afcb55441 true Diffuse Diffuse false 0 4231 -8334 67 20 4266 -8324 1 1 {0} 255;161;161;161 Colour of the specular highlight a172e753-e481-4551-8ecf-260e53d6377b true Specular Specular false 0 4231 -8314 67 20 4266 -8304 1 1 {0} 255;0;255;255 Emissive colour of the material 5a23d84e-78d0-4e6a-8a93-f227f55fef79 true Emission Emission false 0 4231 -8294 67 20 4266 -8284 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent fb0c3977-f34e-4195-a43a-210565a20274 true Transparency Transparency false 0 4231 -8274 67 20 4266 -8264 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 5fdfc1ac-7a38-4f36-b361-e798b1b1bd7b true Shine Shine false 0 4231 -8254 67 20 4266 -8244 1 1 {0} 100 Resulting material e757b9b3-9378-4b6b-be97-a751cf00ceff true Material Material false 0 4328 -8334 43 100 4351 -8284 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 254266e4-e3e4-4446-adb4-c5e696068203 true Custom Preview Custom Preview 4260 -8396 82 44 4328 -8374 Geometry to preview true 61956c77-9189-4364-92a2-371a92b1ba5f true Geometry Geometry false cdae18ea-9257-4789-8ad0-379d60880a1d 1 4262 -8394 51 20 4289 -8384 The material override 93dd7c30-a051-4709-8cd2-edea080c9a4e true Material Material false e757b9b3-9378-4b6b-be97-a751cf00ceff 1 4262 -8374 51 20 4289 -8364 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 6c6c28be-b01b-42e5-b60a-91c314905c9e true Quick Graph Quick Graph false 0 e59d7b8c-92a9-480e-88e5-0c1a30d07bfb 1 4246 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2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 4bb2abaa-9c90-4ee1-9d3e-af6d1b129f69 true Quick Graph Quick Graph false 0 eff3ee73-0b0b-4d47-b016-c930d4e069aa 1 4232 -5826 150 150 4232 -5825.794 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 70b9b4d5-9f59-4bec-8b95-44a825aff278 true Quick Graph Quick Graph false 0 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 1 4230 -7312 150 150 4230 -7311.181 0 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 99e5fe55-2e16-4fd9-bbf5-d60f020294b9 true Digit Scroller false 0 12 3 0.170000000 4183 -1836 250 20 4183.949 -1835.874 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers e9c988a3-a0f9-44b8-9dca-881e071528d5 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 9 57.500 4211 -3220 250 20 4211.862 -3219.823 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 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25187908-b9ee-4eb4-8acb-6dab9ed5e5e2 91acf8ab-b95d-4cf9-9042-41f5397d7e87 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 62749b59-00b6-4050-8ac2-91ff2975c226 76b87ec4-3a97-42c3-8992-13acf6acf45f 3eef801e-d75b-4ffb-acb0-c36dec045e51 e41d43db-4027-4b96-aff2-6b3977deeff6 57c81212-acf4-4901-86dd-71ef3e46c60d 3aa9dd9c-e16a-46f7-8b96-6321eb6a7afc 92a625da-b995-4055-bc08-7cd011bcb0ba c815fdd0-2496-4b83-b382-bc3c6f6a4b8b 16 e5df8b8a-ee10-4243-b023-04465e1fd03a Group 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true 5c9bc050-34d7-4f48-9eb5-d2a900577182 Divide Curve Divide Curve 2740 5529 125 64 2790 5561 Curve to divide 2f24b97e-99f8-443a-9082-19c1f91d8d3f Curve Curve false ba58928d-5703-4a2a-8fde-736407679f3d 1 2742 5531 33 20 2760 5541 Number of segments 35f75e33-d5f6-4e6e-b9cf-1bfa3b8bb635 Count Count false 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b 1 2742 5551 33 20 2760 5561 1 1 {0} 10 Split segments at kinks 87560cf5-edc9-4964-b195-b4f3d1dd8581 Kinks Kinks false 0 2742 5571 33 20 2760 5581 1 1 {0} false 1 Division points b2222aa6-f808-4c29-97c4-6993cf20b4b3 Points Points false 0 2805 5531 58 20 2835.5 5541 1 Tangent vectors at division points 7a369f73-a46f-44bb-935a-990a674e70dc Tangents Tangents false 0 2805 5551 58 20 2835.5 5561 1 Parameter values at division points b1597b58-9c8c-420f-bec1-50f6c1f5b5a1 Parameters Parameters false 0 2805 5571 58 20 2835.5 5581 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true dc7cd620-40ec-4bbf-8777-36e3f82bb67d Line SDL Line SDL 2750 5612 106 64 2814 5644 Line start point d958b718-e348-4709-aa78-fe7498a8766c Start Start false 0 2752 5614 47 20 2777 5624 1 1 {0} 0 0 0 Line tangent (direction) 8b52cc88-fbae-4974-afe9-a673b442bd74 Direction Direction false 0 2752 5634 47 20 2777 5644 1 1 {0} 1 0 0 Line length 7114e2f7-7cc2-4d94-a5e4-ce6dc55624c4 Length Length false 0 2752 5654 47 20 2777 5664 1 1 {0} 1 Line segment ba58928d-5703-4a2a-8fde-736407679f3d Line Line false 0 2829 5614 25 60 2843 5644 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true f17fb7c5-c44a-431d-ba75-8edebac41101 Line SDL Line SDL 2750 5341 106 64 2814 5373 Line start point eee0d4c1-93a0-442f-9fc5-d81d6dfd5aae Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2752 5343 47 20 2777 5353 1 1 {0} 0 0 0 Line tangent (direction) ac30e536-d7a6-4642-8b04-31576a917a18 Direction Direction false 0 2752 5363 47 20 2777 5373 1 1 {0} 0 1 0 Line length 8fab40a7-83b7-48c4-b1ba-e1dfbc420d51 Length Length false 2da9ba30-40f8-4e2e-9ad5-a1bb181bc6aa 1 2752 5383 47 20 2777 5393 1 1 {0} 1 Line segment 6bb582bf-fb0d-4475-bd64-5159a23801fe Line Line false 0 2829 5343 25 60 2843 5373 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 9c4631ba-85e3-4b26-a0ed-ae48be61a573 Multiplication Multiplication 2762 5466 82 44 2793 5488 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 3995eb05-caa2-438a-a9d9-c18e8358c01c A A true 3eef801e-d75b-4ffb-acb0-c36dec045e51 1 2764 5468 14 20 2772.5 5478 Second item for multiplication 44a0505e-9be8-4f10-bbcb-6f5e50704123 B B true c815fdd0-2496-4b83-b382-bc3c6f6a4b8b 1 2764 5488 14 20 2772.5 5498 Result of multiplication 2da9ba30-40f8-4e2e-9ad5-a1bb181bc6aa Result Result false 0 2808 5468 34 40 2826.5 5488 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 Expression Expression 2706 6180 194 28 2806 6194 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 253e074d-ddc9-4419-9a24-0a26722444e0 Variable O O true 3eef801e-d75b-4ffb-acb0-c36dec045e51 1 2708 6182 14 24 2716.5 6194 Result of expression 2ce7b1d9-752c-4298-ae7a-ed9c0d830e16 Result false 0 2889 6182 9 24 2895 6194 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 62749b59-00b6-4050-8ac2-91ff2975c226 Panel false 1 2ce7b1d9-752c-4298-ae7a-ed9c0d830e16 1 Double click to edit panel content… 2696 5899 214 271 0 0 0 2696.397 5899.743 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 76b87ec4-3a97-42c3-8992-13acf6acf45f Relay false 62749b59-00b6-4050-8ac2-91ff2975c226 1 2783 5864 40 16 2803 5872 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3eef801e-d75b-4ffb-acb0-c36dec045e51 Relay false d9dc4818-8226-43f0-826b-743fe4bf5353 1 2783 6227 40 16 2803 6235 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 62749b59-00b6-4050-8ac2-91ff2975c226 76b87ec4-3a97-42c3-8992-13acf6acf45f 3eef801e-d75b-4ffb-acb0-c36dec045e51 4 e41d43db-4027-4b96-aff2-6b3977deeff6 Group 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 57c81212-acf4-4901-86dd-71ef3e46c60d Quick Graph Quick Graph false 0 3eef801e-d75b-4ffb-acb0-c36dec045e51 1 2728 5697 150 150 2728.496 5697.921 0 aaa665bd-fd6e-4ccb-8d2c-c5b33072125d Curvature Evaluate the curvature of a curve at a specified parameter. true 6544fcf4-de8d-4376-8953-865024da35a3 Curvature Curvature 2734 7033 137 64 2804 7065 Curve to evaluate 33d173a0-8437-48af-8f44-804ef32ab2e1 Curve Curve false 006e868d-4bf3-44a6-b8d4-708f9a679606 1 2736 7035 53 30 2764 7050 Parameter on curve domain to evaluate 2dc7ebde-f021-4d43-858a-f7f5ad2f6afe Parameter Parameter false 9bebf09e-b007-45c5-b78a-b561aa38667f 1 2736 7065 53 30 2764 7080 Point on curve at {t} 2d289b88-800e-4156-a6b1-c7434ad82dc7 Point Point false 0 2819 7035 50 20 2845.5 7045 Curvature vector at {t} 1a1dda0d-bbdd-40d9-90c1-6c9f0757da7a Curvature Curvature false 0 2819 7055 50 20 2845.5 7065 Curvature circle at {t} 1e82bf09-1919-4f7a-88f8-6effdeb1461d Curvature Curvature false 0 2819 7075 50 20 2845.5 7085 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true a1095b3a-a75d-4dfe-874e-c9513ed7d845 Divide Curve Divide Curve 2740 7116 125 64 2790 7148 Curve to divide f2cb91dd-ffcf-4a87-8292-93a0b86821c1 Curve Curve false 006e868d-4bf3-44a6-b8d4-708f9a679606 1 2742 7118 33 20 2760 7128 Number of segments 98448139-6838-4cea-895a-19ef1e5ddb9a Count Count false 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b 1 2742 7138 33 20 2760 7148 1 1 {0} 10 Split segments at kinks f33c48c8-66c6-41e8-8815-5480fd688987 Kinks Kinks false 0 2742 7158 33 20 2760 7168 1 1 {0} false 1 Division points 362990c6-70f5-4e45-80e3-6e3b5820d61c Points Points false 0 2805 7118 58 20 2835.5 7128 1 Tangent vectors at division points c03522f8-2bfc-4536-b892-e10a78a9b6b9 Tangents Tangents false 0 2805 7138 58 20 2835.5 7148 1 Parameter values at division points 9bebf09e-b007-45c5-b78a-b561aa38667f Parameters Parameters false 0 2805 7158 58 20 2835.5 7168 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 006e868d-4bf3-44a6-b8d4-708f9a679606 2 Curve Curve false a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 1 2777 7252 53 24 2813.437 7264.059 23862862-049a-40be-b558-2418aacbd916 Deconstruct Arc Retrieve the base plane, radius and angle domain of an arc. true 163281f3-4fdd-4ec9-89f5-d9ea2684d152 Deconstruct Arc Deconstruct Arc 2746 6952 114 64 2786 6984 Arc or Circle to deconstruct 1e500955-6ff2-4638-a014-022cb896ebeb Arc Arc false 1e82bf09-1919-4f7a-88f8-6effdeb1461d 1 2748 6954 23 60 2761 6984 Base plane of arc or circle ce07b596-b533-42b3-a650-9f00f7be13dc Base Plane Base Plane false 0 2801 6954 57 20 2831 6964 Radius of arc or circle 54837649-9551-4c51-b610-ce1c1a7990a3 Radius Radius false 0 2801 6974 57 20 2831 6984 Angle domain (in radians) of arc f6ce21ce-f13b-487e-b0a5-493bf815810f Angle Angle false 0 2801 6994 57 20 2831 7004 797d922f-3a1d-46fe-9155-358b009b5997 One Over X Compute one over x. true aab83e7e-03d3-46f1-8567-daf390ccafe4 One Over X One Over X 2753 6288 100 28 2802 6302 Input value 6c7c8189-b6b5-4c14-ba98-3f1237843ba4 Value Value false 66cd6f40-485a-4239-8096-f910fb72f4bc 1 2755 6290 32 24 2772.5 6302 Output value 1218fc6b-1c29-44f8-a3a8-c2e396524fa3 Result Result false 0 2817 6290 34 24 2835.5 6302 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d9dc4818-8226-43f0-826b-743fe4bf5353 Relay false 1218fc6b-1c29-44f8-a3a8-c2e396524fa3 1 2783 6259 40 16 2803 6267 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0ffd18d8-99db-40a1-81a8-50617de9a6c3 Expression Expression 2706 6865 194 28 2806 6879 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 5bbe1694-ae4e-4af7-b5d0-0e814d1bd025 Variable O O true 66cd6f40-485a-4239-8096-f910fb72f4bc 1 2708 6867 14 24 2716.5 6879 Result of expression aa5c7f71-4773-436c-9465-eb6cfe47daee Result false 0 2889 6867 9 24 2895 6879 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e492ffd1-044a-40ee-b734-c2796609a1e2 Panel false 1 aa5c7f71-4773-436c-9465-eb6cfe47daee 1 Double click to edit panel content… 2711 6575 185 271 0 0 0 2711.033 6575.335 255;255;255;255 true true true false false false b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 284185cb-9b1b-44c4-9a94-6a846b6478b6 Relay false e492ffd1-044a-40ee-b734-c2796609a1e2 1 2783 6537 40 16 2803 6545 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 66cd6f40-485a-4239-8096-f910fb72f4bc Relay false 54837649-9551-4c51-b610-ce1c1a7990a3 1 2783 6919 40 16 2803 6927 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b Number Number false 96971adb-dc6f-4220-b87f-875d4c7c2611 1 2778 7208 50 24 2803.937 7220.646 1 1 {0} 1024 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d732c384-05f7-4045-8076-3bfea40ab057 Curve Curve false 6bb582bf-fb0d-4475-bd64-5159a23801fe 1 2778 5287 50 24 2803.368 5299.088 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d732c384-05f7-4045-8076-3bfea40ab057 1 92a625da-b995-4055-bc08-7cd011bcb0ba Group 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers c815fdd0-2496-4b83-b382-bc3c6f6a4b8b Digit Scroller Digit Scroller false 0 12 Digit Scroller 3 0.015625000 2678 5428 250 20 2678.177 5428.286 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 059a3e69-9d54-4680-897c-cdf195bad7a8 Move Move 2734 4860 138 44 2802 4882 Base geometry 14e44962-2dfd-440d-82ec-807ce03623f2 Geometry Geometry true d732c384-05f7-4045-8076-3bfea40ab057 1 2736 4862 51 20 2763 4872 Translation vector 516286a3-d79c-4f44-b66a-629a6ff682ae Motion Motion false 0f9f7808-7869-4325-ad0a-d2198a518e33 1 2736 4882 51 20 2763 4892 1 1 {0} 0 0 10 Translated geometry 1a211dc6-9d12-4255-9f70-29dc0d975fda Geometry Geometry false 0 2817 4862 53 20 2845 4872 Transformation data a43be0c8-66f6-44cc-8f23-aaf95264f9aa Transform Transform false 0 2817 4882 53 20 2845 4892 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true 298b80f0-dd2c-448e-bfd4-8abbb2f321ff Vector XYZ Vector XYZ 2731 4922 155 64 2832 4954 Vector {x} component 7cd953af-b064-4de0-a309-70d40bca17c0 -X X component X component false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2733 4924 84 20 2784.5 4934 1 1 {0} -1 Vector {y} component 4cfa8292-ee09-4b96-b0ae-fb6cee43c9ea Y component Y component false 0 2733 4944 84 20 2784.5 4954 1 1 {0} 0 Vector {z} component 62e295ea-6f33-41f0-a0db-7aa786377b06 Z component Z component false 0 2733 4964 84 20 2784.5 4974 1 1 {0} 0 Vector construct 0f9f7808-7869-4325-ad0a-d2198a518e33 Vector Vector false 0 2847 4924 37 30 2867 4939 Vector length b502d75b-da03-4ea8-b2d9-378c3d5e63f8 Length Length false 0 2847 4954 37 30 2867 4969 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 7fce1877-7d49-42f2-9d77-f20f971a3c8d Series Series 2744 5006 117 64 2794 5038 First number in the series e5962598-e389-423c-a85a-1e3c32fc81d7 Start Start false 0 2746 5008 33 20 2764 5018 1 1 {0} 1 Step size for each successive number 931739e6-075e-4fad-9b6c-531639272855 Step Step false 0 2746 5028 33 20 2764 5038 1 1 {0} 1 Number of values in the series d0353cba-1801-49d1-970d-a37da19a53d6 Count Count false 3500c3b9-cff8-4242-841b-b21739eb2ce5 1 2746 5048 33 20 2764 5058 1 1 {0} 10 1 Series of numbers e987d189-a3ef-46bd-bffd-d627e83d8e15 2 Series Series false 0 2809 5008 50 60 2827.5 5038 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. true be575d1d-b0b0-4169-9453-f139fa5a69fc List Length List Length 2748 5189 109 28 2787 5203 1 Base list 62df7b1c-1f20-4713-86f1-5953c8e31639 List List false 006e868d-4bf3-44a6-b8d4-708f9a679606 1 2750 5191 22 24 2762.5 5203 Number of items in L 0d9d676a-f6a5-493c-bf53-6fccdfd6d2e8 1 Length Length false 0 2802 5191 53 24 2822 5203 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3500c3b9-cff8-4242-841b-b21739eb2ce5 Panel false 0 804204b5-0b21-42bc-a33b-bf59830956f2 1 Double click to edit panel content… 2768 5089 50 20 0 0 0 2768.119 5089.574 255;255;255;255 false false true false false true 5b850221-b527-4bd6-8c62-e94168cd6efa Mass Addition Perform mass addition of a list of items true 6bf311af-c478-40b6-8287-b57e5ebd2de6 Mass Addition Mass Addition 2735 5127 135 44 2782 5149 1 Input values for mass addition. e96db67d-f3fe-4b8a-a1b7-ed5f8f51b2c3 Input Input false 0d9d676a-f6a5-493c-bf53-6fccdfd6d2e8 1 2737 5129 30 40 2753.5 5149 Result of mass addition 804204b5-0b21-42bc-a33b-bf59830956f2 Result Result false 0 2797 5129 71 20 2834 5139 1 List of partial results dadbd113-cd60-4519-aab0-471e3119d138 Partial Results Partial Results false 0 2797 5149 71 20 2834 5159 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 059a3e69-9d54-4680-897c-cdf195bad7a8 298b80f0-dd2c-448e-bfd4-8abbb2f321ff 7fce1877-7d49-42f2-9d77-f20f971a3c8d be575d1d-b0b0-4169-9453-f139fa5a69fc 3500c3b9-cff8-4242-841b-b21739eb2ce5 6bf311af-c478-40b6-8287-b57e5ebd2de6 b29ac3e2-b858-44d8-acce-0fb154f6a64a 28b8e0ed-0e44-4505-b866-bab948ef8584 50d6ea62-1933-4585-80ec-e31ffe7454f9 0a876c89-ef58-450e-ae46-5d661fc98802 a8c2d2b8-7793-472a-add0-5c6add577a3e 11 19e6ba9f-ea5b-4adf-a53c-e38f7d1c7c24 Group 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph c1950f77-cc1d-4a94-8226-38115fad3527 Quick Graph Quick Graph false 0 66cd6f40-485a-4239-8096-f910fb72f4bc 1 2728 6370 150 150 2728.338 6370.525 0 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} 5202e00c-44d2-4c14-a5b6-ef33c742b491 Line SDL Line SDL 2979 2948 106 64 3043 2980 Line start point 73576ba2-60f2-4199-85a0-b4261085e773 Start Start false 29428754-07d1-4754-9e30-ae4dc52a1351 1 2981 2950 47 20 3006 2960 1 1 {0} 0 0 0 Line tangent (direction) 789af781-e97d-4b8b-9f99-6237ec423f84 Direction Direction false 0 2981 2970 47 20 3006 2980 1 1 {0} 0 1 0 Line length 517f58ad-11b5-49db-8e72-28cd683f268a Length Length false bc6ae7be-b2f7-495b-8309-85181ce50925 1 2981 2990 47 20 3006 3000 1 1 {0} 1 Line segment 589f826a-73e0-4e35-b5a6-2051359d273a Line Line false 0 3058 2950 25 60 3072 2980 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true a72d5419-fd91-41c5-b117-b1511799de43 Expression Expression 2706 3851 194 28 2806 3865 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable fa6931b6-c67f-4ed7-8fbd-87514531ddfe Variable O O true f1e198ee-8c72-43b0-bdfb-8896635b9001 1 2708 3853 14 24 2716.5 3865 Result of expression a73d77b0-5abb-417c-b1b1-5bfacb79d7fd Result false 0 2889 3853 9 24 2895 3865 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6799a162-9bf6-4690-8e87-a1f7b11fc186 Panel false 0.75034273974597454 a73d77b0-5abb-417c-b1b1-5bfacb79d7fd 1 Double click to edit panel content… 2696 3572 214 271 0 0 0 2696.37 3572.744 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3dd22ce8-293a-4588-a9e5-2f0539214a5c Relay false 6799a162-9bf6-4690-8e87-a1f7b11fc186 1 2783 3535 40 16 2803 3543 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object f1e198ee-8c72-43b0-bdfb-8896635b9001 Relay false 933e3e63-052a-47e5-bf78-bc3f43caee81 1 2783 3898 40 16 2803 3906 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 749872a2-7981-49cb-a7d8-7f6b73442974 Quick Graph Quick Graph false 0 f1e198ee-8c72-43b0-bdfb-8896635b9001 1 2728 3370 150 150 2728.469 3370.921 0 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3bad1a66-165a-405e-94ae-9c7c448ecc44 Relay false 1218fc6b-1c29-44f8-a3a8-c2e396524fa3 1 2783 4177 40 16 2803 4185 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 41b1f9fe-b540-498e-b66d-f9a253c44c97 Relative Differences Relative Differences 2739 4011 128 28 2792 4025 1 List of data to operate on (numbers or points or vectors allowed) 83e171e6-8026-41d3-9b9a-04c48e91b757 Values Values false fc90f942-eb44-4171-8b95-2c2a1d282bfc 1 2741 4013 36 24 2760.5 4025 1 Differences between consecutive items 41859e78-5ecd-4eaf-9046-5daab3c22ed7 Differenced Differenced false 0 2807 4013 58 24 2837.5 4025 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 922f54da-9ad1-4ce8-9fc7-6c168ad6d1ab Relay false 41859e78-5ecd-4eaf-9046-5daab3c22ed7 1 2783 3977 40 16 2803 3985 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 4a5d464e-710f-4246-b9cf-f6d5b47cf6a1 Relay false 3bad1a66-165a-405e-94ae-9c7c448ecc44 1 2783 4118 40 16 2803 4126 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 922f54da-9ad1-4ce8-9fc7-6c168ad6d1ab 4a5d464e-710f-4246-b9cf-f6d5b47cf6a1 41b1f9fe-b540-498e-b66d-f9a253c44c97 401a4ec7-acb1-4812-b841-5ff8cafa66b1 4 64e05c4c-ae81-4d56-92b8-0d683e6178f7 Group f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 401a4ec7-acb1-4812-b841-5ff8cafa66b1 Replace Nulls Replace Nulls 2735 4056 136 44 2821 4078 1 Items to test for null 008d496f-cfcd-4e98-87a1-e7de0148c944 Items Items false 4a5d464e-710f-4246-b9cf-f6d5b47cf6a1 1 2737 4058 69 20 2773 4068 1 Items to replace nulls with 65f6ffb7-2d70-44a6-a76f-1b8cb5988027 Replacements Replacements false 0 2737 4078 69 20 2773 4088 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls fc90f942-eb44-4171-8b95-2c2a1d282bfc Items Items false 0 2836 4058 33 20 2854 4068 Number of items replaced 97321661-04ba-4c03-92bb-cbf26ad904bb Count Count false 0 2836 4078 33 20 2854 4088 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true f6e745a8-7fe5-4039-af6b-f624d2e49c50 Multiplication Multiplication 2762 3307 82 44 2793 3329 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 50da1217-a2c7-48ef-8ac1-27862b7a31af A A true f1e198ee-8c72-43b0-bdfb-8896635b9001 1 2764 3309 14 20 2772.5 3319 Second item for multiplication 0f99ba1b-48e7-47a4-8313-07539c0f8265 B B true 78dab7dd-d7e2-426b-bb90-b547c8224cb4 1 2764 3329 14 20 2772.5 3339 Result of multiplication bc6ae7be-b2f7-495b-8309-85181ce50925 Result Result false 0 2808 3309 34 40 2826.5 3329 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 78dab7dd-d7e2-426b-bb90-b547c8224cb4 Digit Scroller Digit Scroller false 0 12 Digit Scroller 3 0.250000000 2681 3287 250 20 2681.462 3287.034 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true c106ea49-3d33-4ec1-9439-7a451df09432 Move Move 2731 3028 138 44 2799 3050 Base geometry 03f50bc9-cdd3-4a9e-bf72-f9e5a13824fd Geometry Geometry true 589f826a-73e0-4e35-b5a6-2051359d273a 1 2733 3030 51 20 2760 3040 Translation vector 27e55aae-32fb-4931-9e33-8276f3143253 Motion Motion false 0 2733 3050 51 20 2760 3060 1 1 {0} 0 0 0 Translated geometry 05694d97-021c-4a49-a1f3-e45b41b569e0 Geometry Geometry false 0 2814 3030 53 20 2842 3040 Transformation data d7c70fda-d3b4-4f52-8188-82500b831732 Transform Transform false 0 2814 3050 53 20 2842 3060 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true ff3f4af7-3769-4434-b59a-235ecf1d678c Vector XYZ Vector XYZ 2731 3082 155 64 2832 3114 Vector {x} component 5dda6578-81e3-4d08-a192-99efa4ef0918 -X X component X component false d8b69669-a2bd-4187-9589-204f3dbe274a 1 2733 3084 84 20 2784.5 3094 1 1 {0} -1 Vector {y} component 51b8acc0-3713-4503-859f-00e28bbe1d12 Y component Y component false 0 2733 3104 84 20 2784.5 3114 1 1 {0} 1 Vector {z} component 27131421-4d00-4a7e-acc4-6b6b401840d1 Z component Z component false 0 2733 3124 84 20 2784.5 3134 1 1 {0} 0 Vector construct 235ef89b-113b-4adb-8da2-d51550e4eacb Vector Vector false 0 2847 3084 37 30 2867 3099 Vector length eadaa5c9-b315-4cc0-883c-86b5919ef135 Length Length false 0 2847 3114 37 30 2867 3129 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 19794563-a66c-483d-a5a7-3a141a317442 Line SDL Line SDL 2750 1297 106 64 2814 1329 Line start point 579116b0-0e3a-4726-acaa-4eaf385cfbb8 Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2752 1299 47 20 2777 1309 1 1 {0} 0 0 0 Line tangent (direction) d11cdf99-4df2-41e0-84cc-a41742432cef Direction Direction false 0 2752 1319 47 20 2777 1329 1 1 {0} 0 1 0 Line length 052c1243-cfed-4a87-84bf-3af3cfd8de0f Length Length false 04002786-e0c2-482a-a5b0-087deb210247 1 2752 1339 47 20 2777 1349 1 1 {0} 1 Line segment d8f86e25-327f-4bb8-b47a-52eb276b1670 Line Line false 0 2829 1299 25 60 2843 1329 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e791fbc6-af59-4ad4-b7b9-bf23b2eb991d Expression Expression 2706 2041 194 28 2806 2055 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 277497d4-3cc9-4675-9df2-1bdad4551e7b Variable O O true 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 1 2708 2043 14 24 2716.5 2055 Result of expression 7a91e35e-fe42-4292-81a3-bab62edacffc Result false 0 2889 2043 9 24 2895 2055 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8106a0ef-ccc6-40de-94b5-a8fc0651ea3a Panel false 1 7a91e35e-fe42-4292-81a3-bab62edacffc 1 Double click to edit panel content… 2696 1764 214 271 0 0 0 2696.01 1764.322 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c4b05861-4dcc-4fa6-9a55-cd2ef09186a2 Relay false 8106a0ef-ccc6-40de-94b5-a8fc0651ea3a 1 2783 1728 40 16 2803 1736 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 Relay false ac291d1c-68db-4960-a7e7-5db523fe6c22 1 2783 2088 40 16 2803 2096 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 67a350fe-d446-4487-9291-6bee5215236f Quick Graph Quick Graph false 0 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 1 2728 1562 150 150 2728.11 1562.499 0 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true e6ebbaf0-0ce2-416a-9da6-4b087003b097 Relative Differences Relative Differences 2739 2201 128 28 2792 2215 1 List of data to operate on (numbers or points or vectors allowed) 78d2cb1e-3351-4a2b-9058-87a3e892866b Values Values false f82f722b-e058-4539-9262-05fb080d34b6 1 2741 2203 36 24 2760.5 2215 1 Differences between consecutive items 89077281-b492-48e9-a85e-54f1b18d13e1 Differenced Differenced false 0 2807 2203 58 24 2837.5 2215 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object ac291d1c-68db-4960-a7e7-5db523fe6c22 Relay false 89077281-b492-48e9-a85e-54f1b18d13e1 1 2783 2167 40 16 2803 2175 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object bba4be05-dbbc-41aa-b8fc-0b9c012ff2e1 Relay false 931f5277-2c60-43e1-83f4-396ccd594a3a 1 2783 2308 40 16 2803 2316 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 18d36f48-a4e9-48f8-a2d1-bab088228a1c Replace Nulls Replace Nulls 2735 2246 136 44 2821 2268 1 Items to test for null 486e1cf2-b307-4115-a700-c1b678a5423b Items Items false bba4be05-dbbc-41aa-b8fc-0b9c012ff2e1 1 2737 2248 69 20 2773 2258 1 Items to replace nulls with b4803253-ebb4-4f65-aa55-ef46e0615c40 Replacements Replacements false 0 2737 2268 69 20 2773 2278 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls f82f722b-e058-4539-9262-05fb080d34b6 Items Items false 0 2836 2248 33 20 2854 2258 Number of items replaced 67596dde-04c0-445e-9f73-d5c3a5d8ac8c Count Count false 0 2836 2268 33 20 2854 2278 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 6fce7b17-02a7-4fe3-b8c9-47d13b69247f Multiplication Multiplication 2762 1414 82 44 2793 1436 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication edc9e8c0-0a99-450e-ab3f-dd67ef6b135a A A true 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 1 2764 1416 14 20 2772.5 1426 Second item for multiplication 2a560f7c-5209-4e8c-a57a-db57f1802b79 B B true e560636d-e6f0-4cec-9254-b1218b844a79 1 2764 1436 14 20 2772.5 1446 Result of multiplication 04002786-e0c2-482a-a5b0-087deb210247 Result Result false 0 2808 1416 34 40 2826.5 1436 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers e560636d-e6f0-4cec-9254-b1218b844a79 Digit Scroller Digit Scroller false 0 12 Digit Scroller 4 281.08106675 2678 1377 250 20 2678.09 1377.532 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 29a022c6-b2ea-4f5b-8024-18d708b5bbd8 Move Move 2734 1134 138 44 2802 1156 Base geometry 7eda48ca-557a-43a2-91ab-7f55538e5e6b Geometry Geometry true d8f86e25-327f-4bb8-b47a-52eb276b1670 1 2736 1136 51 20 2763 1146 Translation vector b649e3c1-aa59-4773-95ae-5a48561f84c8 Motion Motion false d4dd9a2b-a6ba-4935-8c80-8821e6625ee6 1 2736 1156 51 20 2763 1166 1 1 {0} 0 0 10 Translated geometry 5c55b193-0023-4ff8-875f-0339cdcf9c91 Geometry Geometry false 0 2817 1136 53 20 2845 1146 Transformation data 90a73c6e-4868-4058-8cd1-2421b3702fcc Transform Transform false 0 2817 1156 53 20 2845 1166 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true a3109dcd-b6cf-41a8-b769-b80a5894b219 Vector XYZ Vector XYZ 2725 1199 155 64 2826 1231 Vector {x} component 44969ae5-8746-4507-a6c1-31b16af59304 -X X component X component false 45cacb59-db8f-4bcf-92f7-9858295e7129 1 2727 1201 84 20 2778.5 1211 1 1 {0} -1 Vector {y} component 70a752f0-8268-4395-a051-8f5ac3e5187c Y component Y component false 0 2727 1221 84 20 2778.5 1231 1 1 {0} 2 Vector {z} component 7d1751a9-6b18-4d20-af0c-d90afbd82213 Z component Z component false 0 2727 1241 84 20 2778.5 1251 1 1 {0} 0 Vector construct d4dd9a2b-a6ba-4935-8c80-8821e6625ee6 Vector Vector false 0 2841 1201 37 30 2861 1216 Vector length f74aa292-aab1-4ce6-a9ae-6cb67ef5eb1b Length Length false 0 2841 1231 37 30 2861 1246 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 19794563-a66c-483d-a5a7-3a141a317442 e791fbc6-af59-4ad4-b7b9-bf23b2eb991d 8106a0ef-ccc6-40de-94b5-a8fc0651ea3a c4b05861-4dcc-4fa6-9a55-cd2ef09186a2 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 67a350fe-d446-4487-9291-6bee5215236f e6ebbaf0-0ce2-416a-9da6-4b087003b097 ac291d1c-68db-4960-a7e7-5db523fe6c22 bba4be05-dbbc-41aa-b8fc-0b9c012ff2e1 18d36f48-a4e9-48f8-a2d1-bab088228a1c 6fce7b17-02a7-4fe3-b8c9-47d13b69247f e560636d-e6f0-4cec-9254-b1218b844a79 29a022c6-b2ea-4f5b-8024-18d708b5bbd8 a3109dcd-b6cf-41a8-b769-b80a5894b219 931f5277-2c60-43e1-83f4-396ccd594a3a 2a80daa5-7f21-4cee-8c44-d32500908c11 55fe76bb-1b33-440c-8fc1-fe01651e8fa4 686977b0-f5c0-4fd2-85ff-41e36f44e9e1 e3749bf3-dd2f-4da8-826c-372b05cde1be d37fe9ae-0bf0-4e5b-b780-b8ffbbe9b87b 66bf7298-94f5-4b70-9e91-e530523ea15e b7947ef7-88a1-45b5-96cb-4bbca7365312 1c193ff0-05e8-47a8-96fc-bbafada6a625 bb422305-f56f-490b-b653-544931c09145 45cacb59-db8f-4bcf-92f7-9858295e7129 25 e755cd13-50eb-45cb-81a9-a1569b22e5f0 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 931f5277-2c60-43e1-83f4-396ccd594a3a Relay false f1e198ee-8c72-43b0-bdfb-8896635b9001 1 2783 2342 40 16 2803 2350 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 66a4b758-7a62-4d07-a8d0-412ee9d032c8 Line SDL Line SDL 2762 -463 106 64 2826 -431 Line start point 580103c3-dba4-4d4d-8db3-c5ce957e00ca Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2764 -461 47 20 2789 -451 1 1 {0} 0 0 0 Line tangent (direction) eb1bc218-593e-4f0f-883c-a5651a92571b Direction Direction false 0 2764 -441 47 20 2789 -431 1 1 {0} 0 1 0 Line length 6745e242-fe3f-401b-9526-0a256ab4cbe4 Length Length false cb55f4ee-f70b-4570-a002-0e1149eab871 1 2764 -421 47 20 2789 -411 1 1 {0} 1 Line segment d0b5c3fe-016c-41f8-88bb-b8f9b2c3a272 Line Line false 0 2841 -461 25 60 2855 -431 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 66b05dfa-3cbf-42ec-8f9c-811a3b9ba050 Expression Expression 2706 212 194 28 2806 226 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 1f95b2d9-be8a-40b7-ba63-2c1e3c58b242 Variable O O true 7e2319c0-80b8-4035-93a2-acff99edf0e4 1 2708 214 14 24 2716.5 226 Result of expression 76246871-dc5c-4fce-aec3-104f1e344229 Result false 0 2889 214 9 24 2895 226 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e2f4d4a2-4219-48d3-921e-84f34ef86664 Panel false 1 76246871-dc5c-4fce-aec3-104f1e344229 1 Double click to edit panel content… 2696 -78 214 271 0 0 0 2696.355 -77.07108 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 5d453582-942a-43d2-92be-06c1d12de2a6 Relay false e2f4d4a2-4219-48d3-921e-84f34ef86664 1 2783 -113 40 16 2803 -105 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers b565e546-b7f7-4a1b-9c81-7e90c1d9e590 Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 3945 7777 50 24 3970.923 7789.155 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7e2319c0-80b8-4035-93a2-acff99edf0e4 Relay false ebd6e7da-401e-4c36-9647-c47021848030 1 2783 240 40 16 2803 248 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 11600905-2419-4939-b8c9-dbab8d35b7d3 Quick Graph Quick Graph false 0 7e2319c0-80b8-4035-93a2-acff99edf0e4 1 2728 -281 150 150 2728.454 -280.0285 0 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 96bc0fe3-f065-4aa3-916f-5940bd50fd88 Relative Differences Relative Differences 2737 313 128 28 2790 327 1 List of data to operate on (numbers or points or vectors allowed) a1d0f6f4-4ba1-4086-8421-6e4e3358667f Values Values false ff57e150-073d-4bce-b863-68e84728b1ca 1 2739 315 36 24 2758.5 327 1 Differences between consecutive items a599322f-0d2f-427b-b855-5f76e8e13e74 Differenced Differenced false 0 2805 315 58 24 2835.5 327 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object ebd6e7da-401e-4c36-9647-c47021848030 Relay false a599322f-0d2f-427b-b855-5f76e8e13e74 1 2783 277 40 16 2803 285 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object b5b8702a-3540-4cfa-a086-1aa3e0c7a08c Relay false de531981-8867-4b45-8952-b36202bf4e1d 1 2785 424 40 16 2805 432 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 6b5426f7-8efd-4d40-8b6e-1bbb463df895 Replace Nulls Replace Nulls 2737 359 136 44 2823 381 1 Items to test for null dbcdcd49-3e92-4600-83c6-26173aa03331 Items Items false b5b8702a-3540-4cfa-a086-1aa3e0c7a08c 1 2739 361 69 20 2775 371 1 Items to replace nulls with 6f8a5940-0853-4ccb-ad5a-b7db9ed51fad Replacements Replacements false 0 2739 381 69 20 2775 391 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls ff57e150-073d-4bce-b863-68e84728b1ca Items Items false 0 2838 361 33 20 2856 371 Number of items replaced 0c5e93a4-81cf-489f-9695-468581e553cc Count Count false 0 2838 381 33 20 2856 391 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 0604e4e1-ad52-4e70-aa40-6b7bb7fec836 Multiplication Multiplication 2762 -347 82 44 2793 -325 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication f8a24621-5889-44f3-be0f-7719de89ddea A A true 7e2319c0-80b8-4035-93a2-acff99edf0e4 1 2764 -345 14 20 2772.5 -335 Second item for multiplication 2e633020-026b-4494-8b75-0bdc0ac0d480 B B true 3a7058c3-08a8-41b6-8c4e-ed03c3ab3b28 1 2764 -325 14 20 2772.5 -315 Result of multiplication cb55f4ee-f70b-4570-a002-0e1149eab871 Result Result false 0 2808 -345 34 40 2826.5 -325 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 3a7058c3-08a8-41b6-8c4e-ed03c3ab3b28 Digit Scroller Digit Scroller false 0 12 Digit Scroller 4 2233.52343808 2678 -383 250 20 2678.434 -382.6825 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 4e44e341-6f47-4f00-a431-777a1b460d34 Move Move 2734 -627 138 44 2802 -605 Base geometry 8947fec3-8004-47b2-8f38-158813550f76 Geometry Geometry true d0b5c3fe-016c-41f8-88bb-b8f9b2c3a272 1 2736 -625 51 20 2763 -615 Translation vector 485a1315-bd80-458c-88e2-d817d8496ddc Motion Motion false 63fc990e-fddf-41f2-9b12-284f0462fe11 1 2736 -605 51 20 2763 -595 1 1 {0} 0 0 10 Translated geometry 2b8b5cbd-995b-42e0-af86-dd9fc7d657ca Geometry Geometry false 0 2817 -625 53 20 2845 -615 Transformation data 44b69aa6-bb49-4dd9-b3bf-0b3cd4a8ec76 Transform Transform false 0 2817 -605 53 20 2845 -595 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true c22469cc-e888-4b1c-bd52-1bb4a2191b49 Vector XYZ Vector XYZ 2725 -562 155 64 2826 -530 Vector {x} component b09718a6-4876-4d94-a977-784ad2ed008d -X X component X component false f0a46a15-062c-4b96-9a51-0ebf280e5a4a 1 2727 -560 84 20 2778.5 -550 1 1 {0} -1 Vector {y} component 8ffd5027-e0ca-43f1-b014-9fa80cd55a48 Y component Y component false 0 2727 -540 84 20 2778.5 -530 1 1 {0} 3 Vector {z} component 72a0e4ec-fd97-4061-8567-d5afc981a80d Z component Z component false 0 2727 -520 84 20 2778.5 -510 1 1 {0} 0 Vector construct 63fc990e-fddf-41f2-9b12-284f0462fe11 Vector Vector false 0 2841 -560 37 30 2861 -545 Vector length 7d9826bd-d248-43d9-9150-445b646fc6c3 Length Length false 0 2841 -530 37 30 2861 -515 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 66a4b758-7a62-4d07-a8d0-412ee9d032c8 66b05dfa-3cbf-42ec-8f9c-811a3b9ba050 e2f4d4a2-4219-48d3-921e-84f34ef86664 5d453582-942a-43d2-92be-06c1d12de2a6 7e2319c0-80b8-4035-93a2-acff99edf0e4 11600905-2419-4939-b8c9-dbab8d35b7d3 96bc0fe3-f065-4aa3-916f-5940bd50fd88 ebd6e7da-401e-4c36-9647-c47021848030 b5b8702a-3540-4cfa-a086-1aa3e0c7a08c 6b5426f7-8efd-4d40-8b6e-1bbb463df895 0604e4e1-ad52-4e70-aa40-6b7bb7fec836 3a7058c3-08a8-41b6-8c4e-ed03c3ab3b28 4e44e341-6f47-4f00-a431-777a1b460d34 c22469cc-e888-4b1c-bd52-1bb4a2191b49 de531981-8867-4b45-8952-b36202bf4e1d e909739f-f11a-4f63-961e-cbe23cb83593 84185437-01a9-46d2-8587-90dc91fbaeef a59697d7-edbc-4983-90af-5eeb0652d3e3 a628cbff-e924-4087-b69a-6ae9e00ca171 e02dc4a6-1ed5-4658-8ab5-2a962ae14431 8a5a7e2c-67ec-458b-b19b-c7e51a8e067f 4793db3b-823e-4fc7-9363-44884123053d 36470645-ff8a-4059-9665-a25ef0bc1bff f0a46a15-062c-4b96-9a51-0ebf280e5a4a 24 46694f6f-bc7f-49b1-b788-c73845685196 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object de531981-8867-4b45-8952-b36202bf4e1d Relay false 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 1 2783 460 40 16 2803 468 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true a215e2b8-03ec-47c3-a47b-74a2b0223ad1 Line SDL Line SDL 2766 -2253 106 64 2830 -2221 Line start point 88c9e5e9-5534-4d81-a29a-e298d744d3f3 Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2768 -2251 47 20 2793 -2241 1 1 {0} 0 0 0 Line tangent (direction) 003f01d7-c77d-4202-84b1-47279a3f7288 Direction Direction false 0 2768 -2231 47 20 2793 -2221 1 1 {0} 0 1 0 Line length 2e1c9145-3960-4497-acd5-6ba3d6538a90 Length Length false 04b08fbe-172b-4933-9952-829403b1a725 1 2768 -2211 47 20 2793 -2201 1 1 {0} 1 Line segment e8152b51-a75c-4739-ae10-fb04a597422d Line Line false 0 2845 -2251 25 60 2859 -2221 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true c099f5d9-814b-4093-b58d-5105beb0ea10 Expression Expression 2706 -1590 194 28 2806 -1576 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 0c9ed85a-0c10-4294-a05a-08eccacd357a Variable O O true 73e154f2-80c6-4ae6-bc3c-6465f74895ee 1 2708 -1588 14 24 2716.5 -1576 Result of expression 54af680b-e20d-406c-be22-11cc537a8367 Result false 0 2889 -1588 9 24 2895 -1576 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b40d92d1-a240-45cd-a34c-b1e003fcb81a Panel false 1 54af680b-e20d-406c-be22-11cc537a8367 1 Double click to edit panel content… 2696 -1882 214 271 0 0 0 2696.486 -1881.444 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object face4faf-9c7f-4e39-916f-957ffe7938f9 Relay false b40d92d1-a240-45cd-a34c-b1e003fcb81a 1 2783 -1918 40 16 2803 -1910 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 73e154f2-80c6-4ae6-bc3c-6465f74895ee Relay false d2e976df-5bed-4b60-bcf0-53bc9faed943 1 2783 -1544 40 16 2803 -1536 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph dd0f6cee-8116-4a3b-a587-2587eed44998 Quick Graph Quick Graph false 0 73e154f2-80c6-4ae6-bc3c-6465f74895ee 1 2728 -2084 150 150 2728.585 -2083.267 0 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 333b2be5-4551-45ff-8cde-28df0c73e1e3 Relative Differences Relative Differences 2739 -1449 128 28 2792 -1435 1 List of data to operate on (numbers or points or vectors allowed) ab0a368a-1844-4969-be9e-3749177d7e38 Values Values false 3084c808-7cec-485b-ab86-376db1f115a1 1 2741 -1447 36 24 2760.5 -1435 1 Differences between consecutive items 0cb5fa70-ea4c-406a-af82-30bab56f0c2b Differenced Differenced false 0 2807 -1447 58 24 2837.5 -1435 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d2e976df-5bed-4b60-bcf0-53bc9faed943 Relay false 0cb5fa70-ea4c-406a-af82-30bab56f0c2b 1 2783 -1483 40 16 2803 -1475 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6a3d6332-c462-42bc-9c10-9d6432e71731 Relay false 0576783e-c535-4691-b39c-477f6935999c 1 2783 -1342 40 16 2803 -1334 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 19366a9a-5dc4-4739-a801-49f17d8989b5 Replace Nulls Replace Nulls 2735 -1404 136 44 2821 -1382 1 Items to test for null c5fd2979-3f7a-4fea-a551-275772f36a8b Items Items false 6a3d6332-c462-42bc-9c10-9d6432e71731 1 2737 -1402 69 20 2773 -1392 1 Items to replace nulls with e82548c9-e185-463a-af4c-9f9703b5f5ee Replacements Replacements false 0 2737 -1382 69 20 2773 -1372 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls 3084c808-7cec-485b-ab86-376db1f115a1 Items Items false 0 2836 -1402 33 20 2854 -1392 Number of items replaced 7cbcd3bf-8d2f-436f-8a76-6ac67870b3f8 Count Count false 0 2836 -1382 33 20 2854 -1372 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true f9b0a7de-ecf1-4969-b872-fdadfa9af113 Multiplication Multiplication 2762 -2153 82 44 2793 -2131 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 269ab055-0d40-468d-9d96-33528da5c12c A A true 73e154f2-80c6-4ae6-bc3c-6465f74895ee 1 2764 -2151 14 20 2772.5 -2141 Second item for multiplication 6ddf6eae-0c4a-41bb-9f8f-40f021cc5850 B B true c0e2db88-5789-426d-83c7-0588de3ef25b 1 2764 -2131 14 20 2772.5 -2121 Result of multiplication 04b08fbe-172b-4933-9952-829403b1a725 Result Result false 0 2808 -2151 34 40 2826.5 -2131 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers c0e2db88-5789-426d-83c7-0588de3ef25b Digit Scroller Digit Scroller false 0 12 Digit Scroller 5 20817.0283827 2678 -2173 250 20 2678.565 -2172.921 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true f9efa372-460e-4f62-b112-3081e9e3ef5e Move Move 2734 -2433 138 44 2802 -2411 Base geometry 9c3296c6-7709-433e-9c14-dee1444eb571 Geometry Geometry true e8152b51-a75c-4739-ae10-fb04a597422d 1 2736 -2431 51 20 2763 -2421 Translation vector d0311c28-141d-44f3-bd9c-39ed49d81bb9 Motion Motion false d9489a97-3b72-4c68-a11f-cd3f614bb8e6 1 2736 -2411 51 20 2763 -2401 1 1 {0} 0 0 10 Translated geometry 124d9bdf-ab24-4fa1-acfd-0f24e78ae4f3 Geometry Geometry false 0 2817 -2431 53 20 2845 -2421 Transformation data 6511a1f1-0c1c-4bdd-b0e1-e7e508faf1a7 Transform Transform false 0 2817 -2411 53 20 2845 -2401 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true def11018-cdab-4a0d-8a79-53646db73041 Vector XYZ Vector XYZ 2725 -2368 155 64 2826 -2336 Vector {x} component 100046f4-03fb-441c-a3eb-b1857577ffa8 -X X component X component false f49ae725-c6ea-4bce-920d-d82e9007d475 1 2727 -2366 84 20 2778.5 -2356 1 1 {0} -1 Vector {y} component d1bb1f9a-9302-4414-9aba-af01df8f861a Y component Y component false 0 2727 -2346 84 20 2778.5 -2336 1 1 {0} 4 Vector {z} component 4fa47ac3-b67d-4e38-8168-fd2aae2d9e5a Z component Z component false 0 2727 -2326 84 20 2778.5 -2316 1 1 {0} 0 Vector construct d9489a97-3b72-4c68-a11f-cd3f614bb8e6 Vector Vector false 0 2841 -2366 37 30 2861 -2351 Vector length 8bcf063d-7669-4c27-83b2-0bafbaad2aa7 Length Length false 0 2841 -2336 37 30 2861 -2321 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects a215e2b8-03ec-47c3-a47b-74a2b0223ad1 c099f5d9-814b-4093-b58d-5105beb0ea10 b40d92d1-a240-45cd-a34c-b1e003fcb81a face4faf-9c7f-4e39-916f-957ffe7938f9 73e154f2-80c6-4ae6-bc3c-6465f74895ee dd0f6cee-8116-4a3b-a587-2587eed44998 333b2be5-4551-45ff-8cde-28df0c73e1e3 d2e976df-5bed-4b60-bcf0-53bc9faed943 6a3d6332-c462-42bc-9c10-9d6432e71731 19366a9a-5dc4-4739-a801-49f17d8989b5 f9b0a7de-ecf1-4969-b872-fdadfa9af113 c0e2db88-5789-426d-83c7-0588de3ef25b f9efa372-460e-4f62-b112-3081e9e3ef5e def11018-cdab-4a0d-8a79-53646db73041 0576783e-c535-4691-b39c-477f6935999c 373fcd53-e5a6-4804-a735-47b5d060439d 488f27d6-7474-41e8-8662-7a97ae90ccac ee5c627c-1bb9-411b-8539-5f5cfd653e05 3e7cc59c-5d43-43d2-a2fc-3ff56e225a0a 23406fea-d648-42ad-a9a6-9e6a5e871332 6e9a05fd-a63f-46c8-8e9c-6c2090966168 5b1003b9-09b0-4476-8f1b-58290691bc28 dcb7528a-ecb2-455e-a7a9-bbc1925d8141 f49ae725-c6ea-4bce-920d-d82e9007d475 24 63f630a9-0dcd-4541-82a2-b0a37918ce26 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 0576783e-c535-4691-b39c-477f6935999c Relay false 7e2319c0-80b8-4035-93a2-acff99edf0e4 1 2783 -1308 40 16 2803 -1300 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 2a80daa5-7f21-4cee-8c44-d32500908c11 Line SDL Line SDL 2750 1482 106 64 2814 1514 Line start point 6973d845-c78b-4031-abff-d030ca769ebc Start Start false 0 2752 1484 47 20 2777 1494 1 1 {0} -2.12109391180815 1.99985794027194 0 Line tangent (direction) 70b7f2d6-8386-46e4-83d1-81953d8f7fbd Direction Direction false 0 2752 1504 47 20 2777 1514 1 1 {0} 0.0625 0.0625 0 Line length aa139009-b95c-479b-a98b-045d7c8ced43 Length Length false 0 2752 1524 47 20 2777 1534 1 1 {0} 1 Line segment 6b86b814-e46e-4186-82ec-e4a645aae545 Line Line false 0 2829 1484 25 60 2843 1514 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 042c7918-1ded-400b-ba9c-adc3004fce23 Line SDL Line SDL 2755 -4059 106 64 2819 -4027 Line start point 3fa6e5ea-adee-472e-8b3f-05dc29429866 Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2757 -4057 47 20 2782 -4047 1 1 {0} 0 0 0 Line tangent (direction) 29615d06-03ae-4c97-b722-93093d338683 Direction Direction false 0 2757 -4037 47 20 2782 -4027 1 1 {0} 0 1 0 Line length 9f596764-c393-41b4-b737-b159912b86d1 Length Length false 76dad168-9920-4c9d-9b0c-7840e0411195 1 2757 -4017 47 20 2782 -4007 1 1 {0} 1 Line segment c8946353-1197-4675-9f3c-83408d67f6da Line Line false 0 2834 -4057 25 60 2848 -4027 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true bb4ec53c-c335-4888-a813-6dba4b0b3879 Expression Expression 2710 -3381 194 28 2810 -3367 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f87d3193-d293-441b-b2af-3d511bcd31a1 Variable O O true 50df359b-4457-448c-bbbc-234551b5fbea 1 2712 -3379 14 24 2720.5 -3367 Result of expression 304ce3dc-ec45-463b-95a9-eb4796ff8aed Result false 0 2893 -3379 9 24 2899 -3367 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 539290d9-dce9-43a1-adf4-e5affd26f6ea Panel false 1 304ce3dc-ec45-463b-95a9-eb4796ff8aed 1 Double click to edit panel content… 2701 -3673 214 271 0 0 0 2701.717 -3672.704 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 238896a6-397f-4896-9866-4977be1c5cb8 Relay false 539290d9-dce9-43a1-adf4-e5affd26f6ea 1 2787 -3716 40 16 2807 -3708 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 50df359b-4457-448c-bbbc-234551b5fbea Relay false b64f24de-d0b2-4d54-bf7e-07324953940a 1 2787 -3353 40 16 2807 -3345 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 06278da8-5577-4c01-9bca-f378277efc42 Quick Graph Quick Graph false 0 50df359b-4457-448c-bbbc-234551b5fbea 1 2733 -3875 150 150 2733.816 -3874.528 0 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 075e2fbe-e8d0-4a47-912a-e40abbb65453 Relative Differences Relative Differences 2743 -3240 128 28 2796 -3226 1 List of data to operate on (numbers or points or vectors allowed) 72b8a0b1-d1d3-4dcc-b243-4685a2d6f2c3 Values Values false a841c1a5-bb93-4744-bf9c-c03e90064964 1 2745 -3238 36 24 2764.5 -3226 1 Differences between consecutive items 7fc4d72d-84c3-4dd1-bf48-0a27e1a8a871 Differenced Differenced false 0 2811 -3238 58 24 2841.5 -3226 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object b64f24de-d0b2-4d54-bf7e-07324953940a Relay false 7fc4d72d-84c3-4dd1-bf48-0a27e1a8a871 1 2787 -3274 40 16 2807 -3266 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object f209f4a2-f539-4aa3-ae96-2646314ce948 Relay false dc4a89cc-6391-4120-a0c7-bb01947e616d 1 2787 -3133 40 16 2807 -3125 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 9c3b67af-a7a4-4fb2-b1fa-95d0eb77ef5b Replace Nulls Replace Nulls 2739 -3195 136 44 2825 -3173 1 Items to test for null f4cf7b8c-094d-4232-8bd6-b670561fb534 Items Items false f209f4a2-f539-4aa3-ae96-2646314ce948 1 2741 -3193 69 20 2777 -3183 1 Items to replace nulls with 726e1471-dba4-428d-982b-cec7b3b6c89c Replacements Replacements false 0 2741 -3173 69 20 2777 -3163 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls a841c1a5-bb93-4744-bf9c-c03e90064964 Items Items false 0 2840 -3193 33 20 2858 -3183 Number of items replaced 0da654db-e64e-4aa3-bd42-1e3cdc517fe9 Count Count false 0 2840 -3173 33 20 2858 -3163 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 814cda62-2c48-4bb8-9edc-976f47afdf2a Multiplication Multiplication 2770 -3938 82 44 2801 -3916 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 41f1a18d-0420-4bd8-927b-0dd17657e8a7 A A true 50df359b-4457-448c-bbbc-234551b5fbea 1 2772 -3936 14 20 2780.5 -3926 Second item for multiplication b694a7ae-c9fa-4cc7-a775-f46636839f1f B B true d2eb7a37-d5dd-4ee1-8748-628d8498578a 1 2772 -3916 14 20 2780.5 -3906 Result of multiplication 76dad168-9920-4c9d-9b0c-7840e0411195 Result Result false 0 2816 -3936 34 40 2834.5 -3916 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers d2eb7a37-d5dd-4ee1-8748-628d8498578a Digit Scroller Digit Scroller false 0 12 Digit Scroller 5 56336.1968128 2682 -3977 250 20 2682.217 -3976.787 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 11047804-87b6-4b30-bd41-bf40de79677a Move Move 2738 -4222 138 44 2806 -4200 Base geometry f49caf1a-65e2-45bb-aacd-2dfc52d04f59 Geometry Geometry true c8946353-1197-4675-9f3c-83408d67f6da 1 2740 -4220 51 20 2767 -4210 Translation vector ceeceab3-c17b-4e19-9177-d15f796f675c Motion Motion false db4d5bd9-6588-461b-99cc-36749b76ef54 1 2740 -4200 51 20 2767 -4190 1 1 {0} 0 0 10 Translated geometry 2c9695ba-b315-4f78-85cd-abc3b3a78187 Geometry Geometry false 0 2821 -4220 53 20 2849 -4210 Transformation data 317fe4f6-2c97-4959-bc91-a97c0d7694e9 Transform Transform false 0 2821 -4200 53 20 2849 -4190 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true 7559b255-f641-4d37-8771-422671c9d661 Vector XYZ Vector XYZ 2729 -4159 155 64 2830 -4127 Vector {x} component 86dcd50f-b6ae-4f17-9afc-cc4ef5b72aff -X X component X component false eecc13d9-74f4-4560-a0dc-f0d6eb44d03c 1 2731 -4157 84 20 2782.5 -4147 1 1 {0} -1 Vector {y} component ca8927b3-a645-48f7-bea7-3e0c7c770d9c Y component Y component false 0 2731 -4137 84 20 2782.5 -4127 1 1 {0} 5 Vector {z} component a30b780b-5434-49c4-b140-fa9591b9e3a5 Z component Z component false 0 2731 -4117 84 20 2782.5 -4107 1 1 {0} 0 Vector construct db4d5bd9-6588-461b-99cc-36749b76ef54 Vector Vector false 0 2845 -4157 37 30 2865 -4142 Vector length b2d573de-5c72-449f-801b-5c7ebd9594ae Length Length false 0 2845 -4127 37 30 2865 -4112 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 042c7918-1ded-400b-ba9c-adc3004fce23 bb4ec53c-c335-4888-a813-6dba4b0b3879 539290d9-dce9-43a1-adf4-e5affd26f6ea 238896a6-397f-4896-9866-4977be1c5cb8 50df359b-4457-448c-bbbc-234551b5fbea 06278da8-5577-4c01-9bca-f378277efc42 075e2fbe-e8d0-4a47-912a-e40abbb65453 b64f24de-d0b2-4d54-bf7e-07324953940a f209f4a2-f539-4aa3-ae96-2646314ce948 9c3b67af-a7a4-4fb2-b1fa-95d0eb77ef5b 814cda62-2c48-4bb8-9edc-976f47afdf2a d2eb7a37-d5dd-4ee1-8748-628d8498578a 11047804-87b6-4b30-bd41-bf40de79677a 7559b255-f641-4d37-8771-422671c9d661 dc4a89cc-6391-4120-a0c7-bb01947e616d 3a1806c9-f1d1-40d4-b0c3-ba40727c7574 8500138e-2946-4f7c-be93-c3c7109b4c2f cad9f703-3621-4a15-835e-3c62c5728043 19800ae1-a0b6-4fea-a742-1c5c30324ec3 ceffa153-887e-4858-9494-ff4113ed6ec8 e9181e89-67db-453a-a90b-03cf875e54e4 eecc13d9-74f4-4560-a0dc-f0d6eb44d03c 22 60746e92-8e7d-4181-8157-9d909cfaa5af Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object dc4a89cc-6391-4120-a0c7-bb01947e616d Relay false 73e154f2-80c6-4ae6-bc3c-6465f74895ee 1 2787 -3099 40 16 2807 -3091 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 6f02b009-b1e7-40fb-982b-a4cc92989f93 Line SDL Line SDL 2758 -5837 106 64 2822 -5805 Line start point 9b1f3040-25b4-465c-b48b-20d876ca8d30 Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2760 -5835 47 20 2785 -5825 1 1 {0} 0 0 0 Line tangent (direction) ab363ead-60ce-42e6-abb6-fada154e2d83 Direction Direction false 0 2760 -5815 47 20 2785 -5805 1 1 {0} 0 1 0 Line length a12ca76e-b81d-4f86-82e5-94db0c56f6bc Length Length false 219456fb-d7b5-4771-8625-546ff24ec0db 1 2760 -5795 47 20 2785 -5785 1 1 {0} 1 Line segment dbe25fd3-7c8f-4ba4-aa76-935deab2513d Line Line false 0 2837 -5835 25 60 2851 -5805 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e8ede47a-0766-46eb-98e9-795795777e72 Expression Expression 2711 -5199 194 28 2811 -5185 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3a17e425-d670-4f6e-a8de-3f02eace241a Variable O O true 052a3230-6371-4fd8-b081-e62dc726cb17 1 2713 -5197 14 24 2721.5 -5185 Result of expression 2e133f21-2d54-4357-82b6-d6caa9c58bb9 Result false 0 2894 -5197 9 24 2900 -5185 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f0598189-5cbb-4645-844b-5261772d3d6f Panel false 1 2e133f21-2d54-4357-82b6-d6caa9c58bb9 1 Double click to edit panel content… 2701 -5472 214 271 0 0 0 2701.714 -5471.091 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object abd6a449-9c16-4c76-8ef0-98e478cd83ad Relay false f0598189-5cbb-4645-844b-5261772d3d6f 1 2788 -5515 40 16 2808 -5507 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 052a3230-6371-4fd8-b081-e62dc726cb17 Relay false 8dc32522-c682-4ff8-8b97-cbd1b23da515 1 2788 -5152 40 16 2808 -5144 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph d1b7aee9-6996-44d7-a2a8-751ca861756f Quick Graph Quick Graph false 0 052a3230-6371-4fd8-b081-e62dc726cb17 1 2733 -5673 150 150 2733.813 -5672.915 0 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 33d169ca-0346-4d9c-8215-357b9043028e Relative Differences Relative Differences 2744 -5039 128 28 2797 -5025 1 List of data to operate on (numbers or points or vectors allowed) 78975a9e-52d2-4a86-9086-68be735702ad Values Values false 9c15500f-157e-41a9-92a5-a20d78dd6d0a 1 2746 -5037 36 24 2765.5 -5025 1 Differences between consecutive items e0b41d41-010c-450b-87c6-534ab840d77b Differenced Differenced false 0 2812 -5037 58 24 2842.5 -5025 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 8dc32522-c682-4ff8-8b97-cbd1b23da515 Relay false e0b41d41-010c-450b-87c6-534ab840d77b 1 2788 -5073 40 16 2808 -5065 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7b86bb78-229e-4e92-8975-52158c20193e Relay false c9a63204-827d-4fc8-89ca-1e01148b0d3d 1 2788 -4932 40 16 2808 -4924 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 81207625-50b7-466b-a33d-23c0e88f3ac9 Replace Nulls Replace Nulls 2740 -4994 136 44 2826 -4972 1 Items to test for null 0766398e-adae-4a68-af23-b7c778109ed1 Items Items false 7b86bb78-229e-4e92-8975-52158c20193e 1 2742 -4992 69 20 2778 -4982 1 Items to replace nulls with 32702515-c5ba-40c5-8d36-701e5e367bdb Replacements Replacements false 0 2742 -4972 69 20 2778 -4962 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls 9c15500f-157e-41a9-92a5-a20d78dd6d0a Items Items false 0 2841 -4992 33 20 2859 -4982 Number of items replaced 799563c9-5274-4ae7-beb6-b23dee7a1a4e Count Count false 0 2841 -4972 33 20 2859 -4962 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 7239acaa-4bc2-4df7-9ccc-41202268cb8a Multiplication Multiplication 2770 -5733 82 44 2801 -5711 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication b43d79dd-62fc-46ee-9f3a-671373fd1cc3 A A true 052a3230-6371-4fd8-b081-e62dc726cb17 1 2772 -5731 14 20 2780.5 -5721 Second item for multiplication a4927aff-3c14-4dd1-8427-f305933617b5 B B true 0a0d20ea-45ef-4ce5-98da-34c0193e0b0b 1 2772 -5711 14 20 2780.5 -5701 Result of multiplication 219456fb-d7b5-4771-8625-546ff24ec0db Result Result false 0 2816 -5731 34 40 2834.5 -5711 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 0a0d20ea-45ef-4ce5-98da-34c0193e0b0b Digit Scroller Digit Scroller false 0 12 Digit Scroller 6 271915.006280 2684 -5753 250 20 2684.547 -5752.496 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 4e1fee94-8bf0-4a03-9bb5-efb4198de1d7 Move Move 2739 -6023 138 44 2807 -6001 Base geometry ad9b15b9-3d25-44f8-835e-637cd41ab1f3 Geometry Geometry true dbe25fd3-7c8f-4ba4-aa76-935deab2513d 1 2741 -6021 51 20 2768 -6011 Translation vector 835cfb38-6c49-4afe-8da6-226f3a5aac91 Motion Motion false 532b21ed-054c-48dc-9ad9-d23e32f3c462 1 2741 -6001 51 20 2768 -5991 1 1 {0} 0 0 10 Translated geometry 6887d1d4-79dc-484f-ba0b-cbc72eeea403 Geometry Geometry false 0 2822 -6021 53 20 2850 -6011 Transformation data 7d36d4f0-da61-46e7-80c2-c9a571beca63 Transform Transform false 0 2822 -6001 53 20 2850 -5991 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true 0e8fc1e8-082d-43ee-a7cb-5a08841c0259 Vector XYZ Vector XYZ 2730 -5958 155 64 2831 -5926 Vector {x} component 1b39f073-7197-461a-92d6-670b7c39add9 -X X component X component false 647310bf-b19d-44df-ae6f-ffbd5b863fe9 1 2732 -5956 84 20 2783.5 -5946 1 1 {0} -1 Vector {y} component 3514c265-9042-4c28-8ab6-41303131d2d4 Y component Y component false 0 2732 -5936 84 20 2783.5 -5926 1 1 {0} 6 Vector {z} component 7d33e313-0e01-4d2b-9bd6-5619cee4cb27 Z component Z component false 0 2732 -5916 84 20 2783.5 -5906 1 1 {0} 0 Vector construct 532b21ed-054c-48dc-9ad9-d23e32f3c462 Vector Vector false 0 2846 -5956 37 30 2866 -5941 Vector length 3b99ba49-6ac8-43e3-bd99-f3213da6a2bf Length Length false 0 2846 -5926 37 30 2866 -5911 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 6f02b009-b1e7-40fb-982b-a4cc92989f93 e8ede47a-0766-46eb-98e9-795795777e72 f0598189-5cbb-4645-844b-5261772d3d6f abd6a449-9c16-4c76-8ef0-98e478cd83ad 052a3230-6371-4fd8-b081-e62dc726cb17 d1b7aee9-6996-44d7-a2a8-751ca861756f 33d169ca-0346-4d9c-8215-357b9043028e 8dc32522-c682-4ff8-8b97-cbd1b23da515 7b86bb78-229e-4e92-8975-52158c20193e 81207625-50b7-466b-a33d-23c0e88f3ac9 7239acaa-4bc2-4df7-9ccc-41202268cb8a 0a0d20ea-45ef-4ce5-98da-34c0193e0b0b 4e1fee94-8bf0-4a03-9bb5-efb4198de1d7 0e8fc1e8-082d-43ee-a7cb-5a08841c0259 c9a63204-827d-4fc8-89ca-1e01148b0d3d c60b7d8a-b3ae-4380-9450-58ceb8ae5a6c 91d19239-fa22-43d8-9328-a5aaa83c29d0 c85fbe40-8c7e-4798-9c91-10dc94e3ce94 1ed8af89-73d9-46fb-9f92-85e97b1954ab 35cf69c6-1a64-47f3-beee-9ffa3d777872 9cb83053-a3f1-4d08-bad8-b0b6d4352272 b0dc11e3-028a-4c68-abf7-dc7f220168c2 957995f5-c366-463c-b3ce-f70bdb0ab1f3 647310bf-b19d-44df-ae6f-ffbd5b863fe9 24 476c07b4-d4b7-48f5-ab23-63a6ae96d8b0 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c9a63204-827d-4fc8-89ca-1e01148b0d3d Relay false 50df359b-4457-448c-bbbc-234551b5fbea 1 2788 -4898 40 16 2808 -4890 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 7fad2a3d-6b73-4fd3-b85f-cbcca0edb0e9 Line SDL Line SDL 2755 -7648 106 64 2819 -7616 Line start point d0cf9246-2f18-4473-bf16-83da1ef7502f Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2757 -7646 47 20 2782 -7636 1 1 {0} 0 0 0 Line tangent (direction) 4ebccf48-81fd-4163-b2ad-9c377061e5b4 Direction Direction false 0 2757 -7626 47 20 2782 -7616 1 1 {0} 0 1 0 Line length 4c250e73-ca00-491e-8345-30d0c199d208 Length Length false eed75ede-9954-4e74-ba7c-3bd2194f1ac6 1 2757 -7606 47 20 2782 -7596 1 1 {0} 1 Line segment 37fc79be-f3e4-4303-9f79-031b628eb7dc Line Line false 0 2834 -7646 25 60 2848 -7616 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true f6e9f1c3-eee4-412c-baba-b0430add3abc Expression Expression 2710 -6976 194 28 2810 -6962 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 8303f00c-4b96-4759-b910-899f66742b0e Variable O O true 963d551b-51b2-47ee-a44a-02c105fb8854 1 2712 -6974 14 24 2720.5 -6962 Result of expression d4046849-9388-4abb-ad4b-8c2a65b66e28 Result false 0 2893 -6974 9 24 2899 -6962 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 44d9ac45-165c-4030-80af-37df49237525 Panel false 1 d4046849-9388-4abb-ad4b-8c2a65b66e28 1 Double click to edit panel content… 2701 -7269 214 271 0 0 0 2701.867 -7268.153 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a8aee104-1a78-4e6f-9c6b-f240f9e79dc3 Relay false 44d9ac45-165c-4030-80af-37df49237525 1 2787 -7316 40 16 2807 -7308 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 963d551b-51b2-47ee-a44a-02c105fb8854 Relay false 6234ac24-d0b0-412d-8309-3a3c0d7d470e 1 2787 -6929 40 16 2807 -6921 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph a010a0aa-e30f-4f91-a2a2-d90e6518b218 Quick Graph Quick Graph false 0 963d551b-51b2-47ee-a44a-02c105fb8854 1 2732 -7470 150 150 2732.966 -7469.977 0 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true 73b7337b-7d22-476b-b538-b7ba58edd468 Relative Differences Relative Differences 2743 -6840 128 28 2796 -6826 1 List of data to operate on (numbers or points or vectors allowed) f9008767-dc99-4bbc-80ec-9f00fdbe3638 Values Values false 8e78b602-bf7b-41ab-acd6-75e9dd78a318 1 2745 -6838 36 24 2764.5 -6826 1 Differences between consecutive items 86f264df-1e7e-42b2-bbf5-062c2f94d72e Differenced Differenced false 0 2811 -6838 58 24 2841.5 -6826 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6234ac24-d0b0-412d-8309-3a3c0d7d470e Relay false 86f264df-1e7e-42b2-bbf5-062c2f94d72e 1 2787 -6874 40 16 2807 -6866 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2ad015b5-75aa-4327-af12-ae66b821121a Relay false a9078840-89ba-460d-b861-d52f705e4fb5 1 2787 -6733 40 16 2807 -6725 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true fe79c4c0-7b7d-412d-9138-48cd990ffa41 Replace Nulls Replace Nulls 2739 -6795 136 44 2825 -6773 1 Items to test for null 91ecac42-f5a5-4b03-a9df-28662d8d96b0 Items Items false 2ad015b5-75aa-4327-af12-ae66b821121a 1 2741 -6793 69 20 2777 -6783 1 Items to replace nulls with 467868de-26c2-4f1f-a7ac-6f2f62ce628c Replacements Replacements false 0 2741 -6773 69 20 2777 -6763 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls 8e78b602-bf7b-41ab-acd6-75e9dd78a318 Items Items false 0 2840 -6793 33 20 2858 -6783 Number of items replaced 8493b36e-89a5-45ef-84f4-a49793c215a8 Count Count false 0 2840 -6773 33 20 2858 -6763 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true e36e38bd-69b6-4b50-aa47-e40c3308a856 Multiplication Multiplication 2769 -7533 82 44 2800 -7511 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 06b7a419-33b2-4d8a-b837-1cdce113f55b A A true 963d551b-51b2-47ee-a44a-02c105fb8854 1 2771 -7531 14 20 2779.5 -7521 Second item for multiplication 9c229038-e9c6-490f-a6e4-31f6e96af3b4 B B true 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2773 -6055 1 1 {0} 100 Resulting material d036ce0d-4e57-4466-9ee5-b83c97c296ec Material Material false 0 2835 -6145 43 100 2858 -6095 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 91d19239-fa22-43d8-9328-a5aaa83c29d0 Custom Preview Custom Preview 2767 -6210 82 44 2835 -6188 Geometry to preview true 569d8839-4b6e-4511-a163-061f73b0c2c3 Geometry Geometry false 6887d1d4-79dc-484f-ba0b-cbc72eeea403 1 2769 -6208 51 20 2796 -6198 The material override 64463d3f-5ebe-4484-b8dd-78af72c4c971 Material Material false d036ce0d-4e57-4466-9ee5-b83c97c296ec 1 2769 -6188 51 20 2796 -6178 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c60b7d8a-b3ae-4380-9450-58ceb8ae5a6c 91d19239-fa22-43d8-9328-a5aaa83c29d0 2 c85fbe40-8c7e-4798-9c91-10dc94e3ce94 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 81849188-b493-4caf-b711-90072846d543 Create Material Create Material 2735 -7983 144 104 2819 -7931 Colour of the diffuse channel d45cbd41-93f0-467f-9696-2a9b3bf4f447 Diffuse Diffuse false 0 2737 -7981 67 20 2772 -7971 1 1 {0} 255;194;194;194 Colour of the specular highlight 916b1084-e922-49cc-961b-81818ef69fbb Specular Specular false 0 2737 -7961 67 20 2772 -7951 1 1 {0} 255;0;255;255 Emissive colour of the material d9c3425f-35ce-4ad2-bc04-7a7b6ad0c5b4 Emission Emission false 0 2737 -7941 67 20 2772 -7931 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 1c04e62d-869e-4a43-bcc2-30f8bbd4de45 Transparency Transparency false 0 2737 -7921 67 20 2772 -7911 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 6e7e40e6-3813-481e-9ca1-fb96e8f08a64 Shine Shine false 0 2737 -7901 67 20 2772 -7891 1 1 {0} 100 Resulting material e5f7b402-d467-469c-9339-523875c835c0 Material Material false 0 2834 -7981 43 100 2857 -7931 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 01de0c9e-9e9f-4576-b496-5f24525a07d9 Custom Preview Custom Preview 2766 -8045 82 44 2834 -8023 Geometry to preview true 393f6e0a-5bf5-4d57-9dd9-5769e8b30001 Geometry Geometry false 1ebf94f7-22a6-4eab-9980-97aba6b6bb19 1 2768 -8043 51 20 2795 -8033 The material override dbbfe754-3ecd-4a4b-b535-cc9392f3c940 Material Material false e5f7b402-d467-469c-9339-523875c835c0 1 2768 -8023 51 20 2795 -8013 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 81849188-b493-4caf-b711-90072846d543 01de0c9e-9e9f-4576-b496-5f24525a07d9 2 e6204409-8517-47d2-8bad-b618d6ba81d7 Group 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 176808cf-6dbb-4465-91a4-587fdbff58b1 Line SDL Line SDL 2774 -9468 106 64 2838 -9436 Line start point 0f7ccecc-e0e9-4c5a-a5c2-37b6a1c89f94 Start Start false b2222aa6-f808-4c29-97c4-6993cf20b4b3 1 2776 -9466 47 20 2801 -9456 1 1 {0} 0 0 0 Line tangent (direction) 2dd18fad-fe56-49af-8d7c-ff770b16d28b Direction Direction false 0 2776 -9446 47 20 2801 -9436 1 1 {0} 0 1 0 Line length d6a94cb8-a1d9-487a-b7d4-86174377d65a Length Length false 363c1268-91ff-471d-af28-65ce38ad48b5 1 2776 -9426 47 20 2801 -9416 1 1 {0} 1 Line segment 3c7fbaad-3a66-4e9b-aa4a-1700eda029b9 Line Line false 0 2853 -9466 25 60 2867 -9436 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 689496b4-7709-4277-b48e-e5e34601568a Expression Expression 2709 -8809 194 28 2809 -8795 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f7006f73-3992-4384-8c5d-3ba2718bac56 Variable O O true 1e4b2379-a416-4225-8721-480e7d2eb297 1 2711 -8807 14 24 2719.5 -8795 Result of expression 3e3dadbe-dd8a-4bc6-8678-a7a7dc8a7cc3 Result false 0 2892 -8807 9 24 2898 -8795 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d55c439b-a720-4f39-ad97-9b9e49606d02 Panel false 1 3e3dadbe-dd8a-4bc6-8678-a7a7dc8a7cc3 1 Double click to edit panel content… 2701 -9102 214 271 0 0 0 2701.036 -9101.007 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 1e81bf43-4be8-4eb1-864b-95a258d57f2f Relay false d55c439b-a720-4f39-ad97-9b9e49606d02 1 2786 -9148 40 16 2806 -9140 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 1e4b2379-a416-4225-8721-480e7d2eb297 Relay false 5964343a-531a-40e7-a7bd-a34379601d4d 1 2786 -8761 40 16 2806 -8753 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph bede73fe-828b-4f54-b263-8945e4b41bc3 Quick Graph Quick Graph false 0 1e4b2379-a416-4225-8721-480e7d2eb297 1 2733 -9303 150 150 2733.136 -9302.829 0 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data true c0a3dcb9-bca7-4fc5-9bb1-7cd02527dbdb Relative Differences Relative Differences 2742 -8672 128 28 2795 -8658 1 List of data to operate on (numbers or points or vectors allowed) d846ee0d-8e0d-4df8-bb11-e468fa4098bb Values Values false d1b21b3f-8f9f-4bd0-adb1-cef864d42fa1 1 2744 -8670 36 24 2763.5 -8658 1 Differences between consecutive items ecc1e601-f24b-4ebc-8c0f-4439786d6f00 Differenced Differenced false 0 2810 -8670 58 24 2840.5 -8658 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 5964343a-531a-40e7-a7bd-a34379601d4d Relay false ecc1e601-f24b-4ebc-8c0f-4439786d6f00 1 2786 -8706 40 16 2806 -8698 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 647a4b7c-cdbf-40b6-bf44-e74b0d6bcdbb Relay false 601aa3b6-34d0-4a75-9712-3a105ed8c617 1 2786 -8565 40 16 2806 -8557 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 70057e17-ddee-4825-99e2-ea1ec62f02db Replace Nulls Replace Nulls 2738 -8627 136 44 2824 -8605 1 Items to test for null 5fe79787-3412-49fd-9e00-13330f43ed85 Items Items false 647a4b7c-cdbf-40b6-bf44-e74b0d6bcdbb 1 2740 -8625 69 20 2776 -8615 1 Items to replace nulls with 28f7a17d-7b5f-44cf-ab0b-c58199dec7ac Replacements Replacements false 0 2740 -8605 69 20 2776 -8595 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls d1b21b3f-8f9f-4bd0-adb1-cef864d42fa1 Items Items false 0 2839 -8625 33 20 2857 -8615 Number of items replaced d57bd584-4a69-4286-91fb-6cf3c15a06ef Count Count false 0 2839 -8605 33 20 2857 -8595 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 486b6841-9208-4a69-a5aa-9c08bdef0dcf Multiplication Multiplication 2777 -9364 82 44 2808 -9342 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 2307e579-998d-4f07-9d0e-c42c822c05fb A A true 1e4b2379-a416-4225-8721-480e7d2eb297 1 2779 -9362 14 20 2787.5 -9352 Second item for multiplication 20fd6e60-24ce-4425-b4f2-1e331622ea1b B B true 30dcb29a-3032-4f08-be32-c0d9d2fcefb5 1 2779 -9342 14 20 2787.5 -9332 Result of multiplication 363c1268-91ff-471d-af28-65ce38ad48b5 Result Result false 0 2823 -9362 34 40 2841.5 -9342 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 30dcb29a-3032-4f08-be32-c0d9d2fcefb5 Digit Scroller Digit Scroller false 0 12 Digit Scroller 7 2183007.89888 2688 -9384 250 20 2688.392 -9383.671 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 6438715f-b0fd-4b4e-9310-90c8dc88eed7 Move Move 2742 -9656 138 44 2810 -9634 Base geometry 2940cc7e-bea0-49cb-9092-38052325b555 Geometry Geometry true 3c7fbaad-3a66-4e9b-aa4a-1700eda029b9 1 2744 -9654 51 20 2771 -9644 Translation vector ac17c328-5da0-4fe0-944f-7eda470ed7e5 Motion Motion false ad7160db-5a22-4671-b943-afdf62fc6dfa 1 2744 -9634 51 20 2771 -9624 1 1 {0} 0 0 10 Translated geometry a5bf42cc-02c5-44fd-830f-c8fe1aab6b5a Geometry Geometry false 0 2825 -9654 53 20 2853 -9644 Transformation data 28681979-1747-4c79-8901-2aa89c3702d7 Transform Transform false 0 2825 -9634 53 20 2853 -9624 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true 78ea33a1-9827-433a-be36-4e7b57a05958 Vector XYZ Vector XYZ 2728 -9591 155 64 2829 -9559 Vector {x} component a4403a75-80a5-4b9b-9744-7ae1fd69dadd -X X component X component false a5231a70-f4f4-4b81-9867-e1428a4b482a 1 2730 -9589 84 20 2781.5 -9579 1 1 {0} -1 Vector {y} component d927ae3d-fdf3-4174-bf3e-990487df0fcd Y component Y component false 0 2730 -9569 84 20 2781.5 -9559 1 1 {0} 8 Vector {z} component b218b573-f5ec-4514-a850-f7ad760fc03d Z component Z component false 0 2730 -9549 84 20 2781.5 -9539 1 1 {0} 0 Vector construct ad7160db-5a22-4671-b943-afdf62fc6dfa Vector Vector false 0 2844 -9589 37 30 2864 -9574 Vector length 5ddbae44-47e6-45a8-b8fe-0e204073488f Length Length false 0 2844 -9559 37 30 2864 -9544 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 176808cf-6dbb-4465-91a4-587fdbff58b1 689496b4-7709-4277-b48e-e5e34601568a d55c439b-a720-4f39-ad97-9b9e49606d02 1e81bf43-4be8-4eb1-864b-95a258d57f2f 1e4b2379-a416-4225-8721-480e7d2eb297 bede73fe-828b-4f54-b263-8945e4b41bc3 c0a3dcb9-bca7-4fc5-9bb1-7cd02527dbdb 5964343a-531a-40e7-a7bd-a34379601d4d 647a4b7c-cdbf-40b6-bf44-e74b0d6bcdbb 70057e17-ddee-4825-99e2-ea1ec62f02db 486b6841-9208-4a69-a5aa-9c08bdef0dcf 30dcb29a-3032-4f08-be32-c0d9d2fcefb5 6438715f-b0fd-4b4e-9310-90c8dc88eed7 78ea33a1-9827-433a-be36-4e7b57a05958 601aa3b6-34d0-4a75-9712-3a105ed8c617 fd693eb3-3cfe-4cd3-b0ef-0ce2b455d741 e1e086c6-b972-4c75-b268-a004ac8a9dd2 360d26a9-188d-4a04-ab85-c54f876af341 849853a5-9fa1-44dc-a6cb-6a6bd83c05a7 db4363b4-d574-4300-84c6-5450a67bacc0 a72749a1-3b33-4ce0-9980-144fc2c4dfd6 d890eaf4-c21c-45e8-ac03-75c58ccbdf99 717103e5-0ed1-4969-ae88-8af3c23de426 a5231a70-f4f4-4b81-9867-e1428a4b482a 24 11c51077-c738-44ff-b97c-c70596e4a90c Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 601aa3b6-34d0-4a75-9712-3a105ed8c617 Relay false 963d551b-51b2-47ee-a44a-02c105fb8854 1 2786 -8531 40 16 2806 -8523 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true fd693eb3-3cfe-4cd3-b0ef-0ce2b455d741 Create Material Create Material 2734 -9815 144 104 2818 -9763 Colour of the diffuse channel b174bc38-cf40-4d69-ba60-9f514adbf386 Diffuse Diffuse false 0 2736 -9813 67 20 2771 -9803 1 1 {0} 255;186;186;186 Colour of the specular highlight 157d70e8-95da-47f3-a47d-565655495fb6 Specular Specular false 0 2736 -9793 67 20 2771 -9783 1 1 {0} 255;0;255;255 Emissive colour of the material ca2b9cd2-ba13-4a55-b373-e503d5fc893f Emission Emission false 0 2736 -9773 67 20 2771 -9763 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 5001bf57-64e1-4f1d-8c22-c98e35203217 Transparency Transparency false 0 2736 -9753 67 20 2771 -9743 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 8a3823d8-a7cf-4ed3-b142-693eb42ead70 Shine Shine false 0 2736 -9733 67 20 2771 -9723 1 1 {0} 100 Resulting material 5e878f84-d64f-488e-9c2b-cf28add842a9 Material Material false 0 2833 -9813 43 100 2856 -9763 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true e1e086c6-b972-4c75-b268-a004ac8a9dd2 Custom Preview Custom Preview 2765 -9877 82 44 2833 -9855 Geometry to preview true c07540f6-ca1c-4703-90c1-dd0c7c7be7c5 Geometry Geometry false a5bf42cc-02c5-44fd-830f-c8fe1aab6b5a 1 2767 -9875 51 20 2794 -9865 The material override c497aebf-b647-4b79-8e5e-87d73179f881 Material Material false 5e878f84-d64f-488e-9c2b-cf28add842a9 1 2767 -9855 51 20 2794 -9845 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects fd693eb3-3cfe-4cd3-b0ef-0ce2b455d741 e1e086c6-b972-4c75-b268-a004ac8a9dd2 2 360d26a9-188d-4a04-ab85-c54f876af341 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 28b8e0ed-0e44-4505-b866-bab948ef8584 Evaluate Length Evaluate Length 2731 4593 144 64 2805 4625 Curve to evaluate caf28ead-e3d6-40a7-91e8-d4e36841eee5 Curve Curve false 1a211dc6-9d12-4255-9f70-29dc0d975fda 1 2733 4595 57 20 2763 4605 Length factor for curve evaluation d8829370-f071-42b1-9ddc-5b2dfb1c1762 Length Length false 0 2733 4615 57 20 2763 4625 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 388410ea-9e9d-4ae1-a9fb-62980d055bc9 Normalized Normalized false 0 2733 4635 57 20 2763 4645 1 1 {0} true Point at the specified length 46a8ffb0-0a6f-4f4a-af17-85da32781c16 Point Point false 0 2820 4595 53 20 2848 4605 Tangent vector at the specified length 7f8394c2-2c0f-4b2c-802d-b0a8d128058e Tangent Tangent false 0 2820 4615 53 20 2848 4625 Curve parameter at the specified length b25e0766-e715-4b8d-9025-3e1aa0905b22 Parameter Parameter false 0 2820 4635 53 20 2848 4645 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 50d6ea62-1933-4585-80ec-e31ffe7454f9 Interpolate Interpolate 2740 4489 125 84 2807 4531 1 Interpolation points b93cec8f-3919-43b3-9986-4220621f67e9 Vertices Vertices false 46a8ffb0-0a6f-4f4a-af17-85da32781c16 1 2742 4491 50 20 2768.5 4501 Curve degree 4d2826ec-8084-4c8d-9464-ad0a8136d22f Degree Degree false 0 2742 4511 50 20 2768.5 4521 1 1 {0} 1 Periodic curve d93bb10c-7eff-4cd2-be7f-d56be052b3fa Periodic Periodic false 0 2742 4531 50 20 2768.5 4541 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) a166b497-32cf-4d01-a3d6-ac10edf23528 KnotStyle KnotStyle false 0 2742 4551 50 20 2768.5 4561 1 1 {0} 2 Resulting nurbs curve 4b3e0cfc-1bf6-4465-bf99-c5f0e54e134f Curve Curve false 0 2822 4491 41 26 2844 4504.333 Curve length 8c5df789-be84-4bba-93f8-9bea1a4d81e1 Length Length false 0 2822 4517 41 27 2844 4531 Curve domain c8ce1e91-9a93-4efe-be71-781d6411bb46 Domain Domain false 0 2822 4544 41 27 2844 4557.667 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 0a876c89-ef58-450e-ae46-5d661fc98802 Create Material Create Material 2731 4366 144 104 2815 4418 Colour of the diffuse channel 187535bd-483f-4359-9955-cbaa80c28dfe Diffuse Diffuse false 0 2733 4368 67 20 2768 4378 1 1 {0} 255;222;222;222 Colour of the specular highlight 49a9589c-7e26-4199-b47f-2d628b0107f6 Specular Specular false 0 2733 4388 67 20 2768 4398 1 1 {0} 255;0;255;255 Emissive colour of the material 59201c17-3176-4c8e-898b-9cbcc204db7c Emission Emission false 0 2733 4408 67 20 2768 4418 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 11cabf8f-8e8e-411f-ab2d-5b57498b3f3b Transparency Transparency false 0 2733 4428 67 20 2768 4438 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 6401c554-d3e2-4643-b23c-9ae4e5cbb028 Shine Shine false 0 2733 4448 67 20 2768 4458 1 1 {0} 100 Resulting material 9962f537-c0cf-46f4-a78e-ecdfe3901837 Material Material false 0 2830 4368 43 100 2853 4418 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 232fb359-d2a7-4c55-92a5-fe7f34103c48 Custom Preview Custom Preview 2762 4304 82 44 2830 4326 Geometry to preview true bd1a9e35-6632-4962-8e54-90d44cf1addf Geometry Geometry false 4b3e0cfc-1bf6-4465-bf99-c5f0e54e134f 1 2764 4306 51 20 2791 4316 The material override a854219f-c8b6-4b07-a2d4-326ff44a5612 Material Material false 9962f537-c0cf-46f4-a78e-ecdfe3901837 1 2764 4326 51 20 2791 4336 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 0a876c89-ef58-450e-ae46-5d661fc98802 232fb359-d2a7-4c55-92a5-fe7f34103c48 2 a8c2d2b8-7793-472a-add0-5c6add577a3e Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 0119e2c8-ab78-45ad-b993-71b743e8bc99 Evaluate Length Evaluate Length 2731 2756 144 64 2805 2788 Curve to evaluate 3333f64c-2af5-44de-a880-e2fc7a1228ce Curve Curve false 05694d97-021c-4a49-a1f3-e45b41b569e0 1 2733 2758 57 20 2763 2768 Length factor for curve evaluation 35823d4a-07d6-45ea-bbae-4d969549a7b7 Length Length false 0 2733 2778 57 20 2763 2788 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 673a3038-d415-4c1c-9d51-997cb4db2b4f Normalized Normalized false 0 2733 2798 57 20 2763 2808 1 1 {0} true Point at the specified length da6e1a4f-7342-4c2d-ba53-b75ff40d63bb Point Point false 0 2820 2758 53 20 2848 2768 Tangent vector at the specified length 10c424d1-9914-425e-b107-92859d7f8413 Tangent Tangent false 0 2820 2778 53 20 2848 2788 Curve parameter at the specified length c7495475-a113-4d0b-a2c5-244c8b3d82e3 Parameter Parameter false 0 2820 2798 53 20 2848 2808 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true aad5e89f-1689-4ac6-8192-4f4373cbea4f Interpolate Interpolate 2740 2652 125 84 2807 2694 1 Interpolation points 5b853f36-6ff2-4cab-932b-1fc49f517c99 Vertices Vertices false da6e1a4f-7342-4c2d-ba53-b75ff40d63bb 1 2742 2654 50 20 2768.5 2664 Curve degree 3e0c70d2-c5ae-4d39-9aed-b0b3540f767b Degree Degree false 0 2742 2674 50 20 2768.5 2684 1 1 {0} 1 Periodic curve 0b0227db-9aeb-4899-b796-20910564fc8b Periodic Periodic false 0 2742 2694 50 20 2768.5 2704 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 74c0b564-26ac-4175-af76-eed0523089d3 KnotStyle KnotStyle false 0 2742 2714 50 20 2768.5 2724 1 1 {0} 2 Resulting nurbs curve 2fda8a5c-a335-4f9c-b920-73287d3f5422 Curve Curve false 0 2822 2654 41 26 2844 2667.333 Curve length a352c05d-0573-4dc9-ae04-191182727d3c Length Length false 0 2822 2680 41 27 2844 2694 Curve domain b744393d-0624-4eaa-87c1-50dd3b860c51 Domain Domain false 0 2822 2707 41 27 2844 2720.667 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 1fc6e624-7c49-41f9-becf-1b629588cf31 Create Material Create Material 2731 2529 144 104 2815 2581 Colour of the diffuse channel e1eb9e3a-f03b-4fc0-a345-5991dc5820ae Diffuse Diffuse false 0 2733 2531 67 20 2768 2541 1 1 {0} 255;214;214;214 Colour of the specular highlight 9a84ad35-7dd9-4846-81bb-43c14ea38c15 Specular Specular false 0 2733 2551 67 20 2768 2561 1 1 {0} 255;0;255;255 Emissive colour of the material f667f166-c5fd-4a9c-8714-b482f16d0c90 Emission Emission false 0 2733 2571 67 20 2768 2581 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent a6a79189-a0df-48b8-a360-cbbf5e96e255 Transparency Transparency false 0 2733 2591 67 20 2768 2601 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 0ff4fbe8-f24f-4914-bbb0-03354dc14eef Shine Shine false 0 2733 2611 67 20 2768 2621 1 1 {0} 100 Resulting material 66a9c6af-38bc-4d3f-a19d-af81e5ae48cf Material Material false 0 2830 2531 43 100 2853 2581 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 3198adc1-4a36-4f37-aea4-eff18ec21c4b Custom Preview Custom Preview 2762 2467 82 44 2830 2489 Geometry to preview true 326eedbe-9d1d-46a7-a68a-5de5a0ca6a5c Geometry Geometry false 2fda8a5c-a335-4f9c-b920-73287d3f5422 1 2764 2469 51 20 2791 2479 The material override ec27fd3b-058e-4ef3-aeee-d5ab782d682f Material Material false 66a9c6af-38bc-4d3f-a19d-af81e5ae48cf 1 2764 2489 51 20 2791 2499 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1fc6e624-7c49-41f9-becf-1b629588cf31 3198adc1-4a36-4f37-aea4-eff18ec21c4b 2 ea9452ce-f391-4a3d-9fb3-f180e8edf584 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true d37fe9ae-0bf0-4e5b-b780-b8ffbbe9b87b Evaluate Length Evaluate Length 2731 865 144 64 2805 897 Curve to evaluate 07060f14-c6ce-415a-a7e3-26d336871d87 Curve Curve false 5c55b193-0023-4ff8-875f-0339cdcf9c91 1 2733 867 57 20 2763 877 Length factor for curve evaluation 4c3318bf-fa32-4624-b087-ed4c29ce7d2f Length Length false 0 2733 887 57 20 2763 897 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 052a21ce-a9b3-4784-8d47-3d5f0cb90e27 Normalized Normalized false 0 2733 907 57 20 2763 917 1 1 {0} true Point at the specified length 4837c179-4459-4b6b-a179-288feb8ea049 Point Point false 0 2820 867 53 20 2848 877 Tangent vector at the specified length cc1c29d8-f214-4102-b61e-af2010d2d1bf Tangent Tangent false 0 2820 887 53 20 2848 897 Curve parameter at the specified length 3bafbba0-e362-4f44-8749-bad014c79515 Parameter Parameter false 0 2820 907 53 20 2848 917 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 66bf7298-94f5-4b70-9e91-e530523ea15e Interpolate Interpolate 2740 761 125 84 2807 803 1 Interpolation points 3d9ce99d-7c33-4373-a86d-f6dd7ff0603d Vertices Vertices false 4837c179-4459-4b6b-a179-288feb8ea049 1 2742 763 50 20 2768.5 773 Curve degree ec9a5bc7-e43a-40c0-86d2-b330c682b730 Degree Degree false 0 2742 783 50 20 2768.5 793 1 1 {0} 1 Periodic curve e17b9f44-b3f9-47d6-bcb3-639799270b83 Periodic Periodic false 0 2742 803 50 20 2768.5 813 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) c1f91afb-9db6-4499-b567-2397b7e769ec KnotStyle KnotStyle false 0 2742 823 50 20 2768.5 833 1 1 {0} 2 Resulting nurbs curve 16088e98-5016-47cf-9e06-33de8403752e Curve Curve false 0 2822 763 41 26 2844 776.3333 Curve length 9eb0f0ea-2965-4fc8-b572-ef5296567ba4 Length Length false 0 2822 789 41 27 2844 803 Curve domain b475e5c3-0c60-4abe-9d2e-5a898b27707b Domain Domain false 0 2822 816 41 27 2844 829.6666 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true b7947ef7-88a1-45b5-96cb-4bbca7365312 Create Material Create Material 2731 638 144 104 2815 690 Colour of the diffuse channel 40a5ebe3-7b8d-4c9b-920f-6f90ffe39f9c Diffuse Diffuse false 0 2733 640 67 20 2768 650 1 1 {0} 255;207;207;207 Colour of the specular highlight e57ee3f0-2d4e-47d4-9f76-165fa4feca9f Specular Specular false 0 2733 660 67 20 2768 670 1 1 {0} 255;0;255;255 Emissive colour of the material 1fa8318b-5c7e-4f2a-a16a-9c18f1eb1c96 Emission Emission false 0 2733 680 67 20 2768 690 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent be82d0b7-6946-4b3f-8c47-30f33589bb4b Transparency Transparency false 0 2733 700 67 20 2768 710 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 705f39c6-8b1f-4839-874c-bab611bc7933 Shine Shine false 0 2733 720 67 20 2768 730 1 1 {0} 100 Resulting material 29efeab3-518b-400b-8807-f7536d0764bb Material Material false 0 2830 640 43 100 2853 690 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 1c193ff0-05e8-47a8-96fc-bbafada6a625 Custom Preview Custom Preview 2762 576 82 44 2830 598 Geometry to preview true 026cae0e-93ad-480a-a99e-61ecb378d4c4 Geometry Geometry false 16088e98-5016-47cf-9e06-33de8403752e 1 2764 578 51 20 2791 588 The material override 68d59d9f-5684-43a8-aab8-2d3b87155155 Material Material false 29efeab3-518b-400b-8807-f7536d0764bb 1 2764 598 51 20 2791 608 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects b7947ef7-88a1-45b5-96cb-4bbca7365312 1c193ff0-05e8-47a8-96fc-bbafada6a625 2 bb422305-f56f-490b-b653-544931c09145 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true a628cbff-e924-4087-b69a-6ae9e00ca171 Evaluate Length Evaluate Length 2731 -898 144 64 2805 -866 Curve to evaluate 7d680361-612f-4597-b92e-e7a39e433b82 Curve Curve false 2b8b5cbd-995b-42e0-af86-dd9fc7d657ca 1 2733 -896 57 20 2763 -886 Length factor for curve evaluation ecb7d58d-f12b-4083-a286-3c860ec02870 Length Length false 0 2733 -876 57 20 2763 -866 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) e74be359-5cba-4fe2-b76e-d5984b3df516 Normalized Normalized false 0 2733 -856 57 20 2763 -846 1 1 {0} true Point at the specified length d2941202-8d0a-4dd6-bfc8-2c750ee6b352 Point Point false 0 2820 -896 53 20 2848 -886 Tangent vector at the specified length e2bb87aa-c7e9-49e3-94d1-b6bf4496d193 Tangent Tangent false 0 2820 -876 53 20 2848 -866 Curve parameter at the specified length 06fa28fb-0615-47b5-94dd-222c17617c39 Parameter Parameter false 0 2820 -856 53 20 2848 -846 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true e02dc4a6-1ed5-4658-8ab5-2a962ae14431 Interpolate Interpolate 2740 -1002 125 84 2807 -960 1 Interpolation points 1c02e629-be1d-464f-a454-fb753462143c Vertices Vertices false d2941202-8d0a-4dd6-bfc8-2c750ee6b352 1 2742 -1000 50 20 2768.5 -990 Curve degree e9fcd0c7-60d3-46b8-86cb-60060d76f560 Degree Degree false 0 2742 -980 50 20 2768.5 -970 1 1 {0} 1 Periodic curve 6fb52cf2-f3cd-4410-8c7f-12b46722b7fd Periodic Periodic false 0 2742 -960 50 20 2768.5 -950 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 31efb708-8f46-42f6-9447-9c6fe45d1c6f KnotStyle KnotStyle false 0 2742 -940 50 20 2768.5 -930 1 1 {0} 2 Resulting nurbs curve 28cadc91-34c8-4ad0-8a0c-e13862554c89 Curve Curve false 0 2822 -1000 41 26 2844 -986.6667 Curve length 5c7d6f64-079a-4ae4-af56-0d6f63d06ed5 Length Length false 0 2822 -974 41 27 2844 -960 Curve domain 0c74b56c-c91f-4e48-8147-a035074f3602 Domain Domain false 0 2822 -947 41 27 2844 -933.3334 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 8a5a7e2c-67ec-458b-b19b-c7e51a8e067f Create Material Create Material 2731 -1125 144 104 2815 -1073 Colour of the diffuse channel fdaf6f4f-d379-4e03-8e14-1ae5af262073 Diffuse Diffuse false 0 2733 -1123 67 20 2768 -1113 1 1 {0} 255;199;199;199 Colour of the specular highlight 2eb9cb51-059e-4efb-9574-6ab5d513b44b Specular Specular false 0 2733 -1103 67 20 2768 -1093 1 1 {0} 255;0;255;255 Emissive colour of the material a37ffe1b-5ee8-46c8-afc4-b479eacfc6b2 Emission Emission false 0 2733 -1083 67 20 2768 -1073 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 08bdb14d-4890-4185-bb41-eeb1d208541b Transparency Transparency false 0 2733 -1063 67 20 2768 -1053 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 209ab11b-1c07-4264-b2ea-3abddf2938fb Shine Shine false 0 2733 -1043 67 20 2768 -1033 1 1 {0} 100 Resulting material 0465f47b-cc56-49f2-a4a4-1c51e7d15db0 Material Material false 0 2830 -1123 43 100 2853 -1073 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 4793db3b-823e-4fc7-9363-44884123053d Custom Preview Custom Preview 2762 -1187 82 44 2830 -1165 Geometry to preview true ee4b8549-14aa-4c33-ba01-ded1f5e8b6f1 Geometry Geometry false 28cadc91-34c8-4ad0-8a0c-e13862554c89 1 2764 -1185 51 20 2791 -1175 The material override feef5d5d-af6d-46de-bbd9-9be97643707e Material Material false 0465f47b-cc56-49f2-a4a4-1c51e7d15db0 1 2764 -1165 51 20 2791 -1155 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 8a5a7e2c-67ec-458b-b19b-c7e51a8e067f 4793db3b-823e-4fc7-9363-44884123053d 2 36470645-ff8a-4059-9665-a25ef0bc1bff Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 3e7cc59c-5d43-43d2-a2fc-3ff56e225a0a Evaluate Length Evaluate Length 2731 -2696 144 64 2805 -2664 Curve to evaluate 5291eaad-112f-4858-b476-8a63ec73f9ab Curve Curve false 124d9bdf-ab24-4fa1-acfd-0f24e78ae4f3 1 2733 -2694 57 20 2763 -2684 Length factor for curve evaluation f531c7b0-3e27-4250-b0e1-ceadc8fd1bfc Length Length false 0 2733 -2674 57 20 2763 -2664 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 6bbfeab5-3df3-42c1-91d8-4cd62b4e9d7c Normalized Normalized false 0 2733 -2654 57 20 2763 -2644 1 1 {0} true Point at the specified length 392dd8ca-50b1-4832-9c2a-70b3c5c08ace Point Point false 0 2820 -2694 53 20 2848 -2684 Tangent vector at the specified length 0b49d03c-7253-4a06-aed5-ea6f4c64964f Tangent Tangent false 0 2820 -2674 53 20 2848 -2664 Curve parameter at the specified length 39ee3f46-1864-4eb2-812d-8b03f5df68cd Parameter Parameter false 0 2820 -2654 53 20 2848 -2644 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 23406fea-d648-42ad-a9a6-9e6a5e871332 Interpolate Interpolate 2740 -2800 125 84 2807 -2758 1 Interpolation points 28909a9b-01ce-4f31-a16d-6322153d5598 Vertices Vertices false 392dd8ca-50b1-4832-9c2a-70b3c5c08ace 1 2742 -2798 50 20 2768.5 -2788 Curve degree 722d2441-f0fc-4557-a48d-18c999cf1aa6 Degree Degree false 0 2742 -2778 50 20 2768.5 -2768 1 1 {0} 1 Periodic curve 9654d4c8-c749-4e5b-9f92-86217d9b75d1 Periodic Periodic false 0 2742 -2758 50 20 2768.5 -2748 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 083481ca-4714-4e50-bbdb-975ab796d19d KnotStyle KnotStyle false 0 2742 -2738 50 20 2768.5 -2728 1 1 {0} 2 Resulting nurbs curve cf73f88f-731e-4747-b666-01db880b93b4 Curve Curve false 0 2822 -2798 41 26 2844 -2784.667 Curve length eab89f53-0c10-44ed-b69e-b76065c74526 Length Length false 0 2822 -2772 41 27 2844 -2758 Curve domain 74f2a6ab-5a65-4809-ae93-c553136974db Domain Domain false 0 2822 -2745 41 27 2844 -2731.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 6e9a05fd-a63f-46c8-8e9c-6c2090966168 Create Material Create Material 2731 -2923 144 104 2815 -2871 Colour of the diffuse channel 1b77150c-56dc-458c-96ed-001110e8d77e Diffuse Diffuse false 0 2733 -2921 67 20 2768 -2911 1 1 {0} 255;191;191;191 Colour of the specular highlight 3fc82104-3c05-4b51-8b46-e5715460b6d8 Specular Specular false 0 2733 -2901 67 20 2768 -2891 1 1 {0} 255;0;255;255 Emissive colour of the material bbb5f55a-b345-4752-a8f8-d6d623e4fdca Emission Emission false 0 2733 -2881 67 20 2768 -2871 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent d0b3ee2c-3902-4b56-9522-710d7ec8d8f5 Transparency Transparency false 0 2733 -2861 67 20 2768 -2851 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 1e93df78-1421-4a87-8d5e-81f66824b877 Shine Shine false 0 2733 -2841 67 20 2768 -2831 1 1 {0} 100 Resulting material 4842bdcf-dc78-4ab6-8b3a-93e6f341072f Material Material false 0 2830 -2921 43 100 2853 -2871 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true 5b1003b9-09b0-4476-8f1b-58290691bc28 Custom Preview Custom Preview 2762 -2985 82 44 2830 -2963 Geometry to preview true e4f0e23f-3d02-4af6-8ddd-9eb89b7f9270 Geometry Geometry false cf73f88f-731e-4747-b666-01db880b93b4 1 2764 -2983 51 20 2791 -2973 The material override 7de66a47-dc70-4ff5-a337-9a15eca19455 Material Material false 4842bdcf-dc78-4ab6-8b3a-93e6f341072f 1 2764 -2963 51 20 2791 -2953 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 6e9a05fd-a63f-46c8-8e9c-6c2090966168 5b1003b9-09b0-4476-8f1b-58290691bc28 2 dcb7528a-ecb2-455e-a7a9-bbc1925d8141 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 33d169ca-0346-4d9c-8215-357b9043028e 8dc32522-c682-4ff8-8b97-cbd1b23da515 7b86bb78-229e-4e92-8975-52158c20193e 81207625-50b7-466b-a33d-23c0e88f3ac9 c9a63204-827d-4fc8-89ca-1e01148b0d3d 5 d4852463-f9fa-4e3e-83d1-08d306826395 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 8500138e-2946-4f7c-be93-c3c7109b4c2f Evaluate Length Evaluate Length 2735 -4493 144 64 2809 -4461 Curve to evaluate 1bd32a94-d147-45be-8a0f-1e4dce95c4a4 Curve Curve false 2c9695ba-b315-4f78-85cd-abc3b3a78187 1 2737 -4491 57 20 2767 -4481 Length factor for curve evaluation f024bb82-6011-45dd-bff5-acfe413195ee Length Length false 0 2737 -4471 57 20 2767 -4461 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 59ab80ba-f9eb-4352-b012-6afab2e1bc28 Normalized Normalized false 0 2737 -4451 57 20 2767 -4441 1 1 {0} true Point at the specified length 0dc9f2cb-fa29-4c8e-8186-db35e5abf4af Point Point false 0 2824 -4491 53 20 2852 -4481 Tangent vector at the specified length a3e505b1-2bf5-4fb5-8813-cbaff30d53da Tangent Tangent false 0 2824 -4471 53 20 2852 -4461 Curve parameter at the specified length b5d70c8b-a430-4da0-b488-c56572a09b2d Parameter Parameter false 0 2824 -4451 53 20 2852 -4441 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true cad9f703-3621-4a15-835e-3c62c5728043 Interpolate Interpolate 2744 -4599 125 84 2811 -4557 1 Interpolation points 5ed9bce7-4015-4df0-b8f5-0de94c1cbf95 Vertices Vertices false 0dc9f2cb-fa29-4c8e-8186-db35e5abf4af 1 2746 -4597 50 20 2772.5 -4587 Curve degree 151fcd36-e8e1-4f57-a353-9e136351155b Degree Degree false 0 2746 -4577 50 20 2772.5 -4567 1 1 {0} 1 Periodic curve 44d97364-de0d-42c1-b461-d89223876d34 Periodic Periodic false 0 2746 -4557 50 20 2772.5 -4547 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 25ca8fff-1ec8-414d-95c3-374462bea822 KnotStyle KnotStyle false 0 2746 -4537 50 20 2772.5 -4527 1 1 {0} 2 Resulting nurbs curve 66845570-eed1-42c1-b834-160fef10c84f Curve Curve false 0 2826 -4597 41 26 2848 -4583.667 Curve length 36c22447-bf2f-47c5-87e0-7772131609ba Length Length false 0 2826 -4571 41 27 2848 -4557 Curve domain 531ca2f9-4502-433d-a846-7e6e38102384 Domain Domain false 0 2826 -4544 41 27 2848 -4530.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 19800ae1-a0b6-4fea-a742-1c5c30324ec3 Create Material Create Material 2735 -4722 144 104 2819 -4670 Colour of the diffuse channel 798af4f9-0b91-4c67-a146-f8ad1602f43d Diffuse Diffuse false 0 2737 -4720 67 20 2772 -4710 1 1 {0} 255;184;184;184 Colour of the specular highlight 161df7f9-b363-4f5b-a5d8-62681df0dfb6 Specular Specular false 0 2737 -4700 67 20 2772 -4690 1 1 {0} 255;0;255;255 Emissive colour of the material 22752c53-b4e2-4979-abb6-386367b72112 Emission Emission false 0 2737 -4680 67 20 2772 -4670 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent b34e8871-494d-47ba-a649-f8b835b14530 Transparency Transparency false 0 2737 -4660 67 20 2772 -4650 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine e3c15594-84a4-42e2-80f7-176381f104a4 Shine Shine false 0 2737 -4640 67 20 2772 -4630 1 1 {0} 100 Resulting material 4acb491c-4b2c-4547-9db6-02d779e78cef Material Material false 0 2834 -4720 43 100 2857 -4670 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true ceffa153-887e-4858-9494-ff4113ed6ec8 Custom Preview Custom Preview 2766 -4784 82 44 2834 -4762 Geometry to preview true 365e9e83-b0ce-4edf-92d4-e61353683006 Geometry Geometry false 66845570-eed1-42c1-b834-160fef10c84f 1 2768 -4782 51 20 2795 -4772 The material override 195e77de-8ce9-40c3-940e-66add71fd5a7 Material Material false 4acb491c-4b2c-4547-9db6-02d779e78cef 1 2768 -4762 51 20 2795 -4752 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 19800ae1-a0b6-4fea-a742-1c5c30324ec3 ceffa153-887e-4858-9494-ff4113ed6ec8 2 e9181e89-67db-453a-a90b-03cf875e54e4 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 1ed8af89-73d9-46fb-9f92-85e97b1954ab Evaluate Length Evaluate Length 2736 -6294 144 64 2810 -6262 Curve to evaluate 317be7dc-eb4a-4b04-a50a-3d099775df9f Curve Curve false 6887d1d4-79dc-484f-ba0b-cbc72eeea403 1 2738 -6292 57 20 2768 -6282 Length factor for curve evaluation cf6786f7-c209-49b2-9c1d-b5738c2930bf Length Length false 0 2738 -6272 57 20 2768 -6262 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 5a5a4805-c174-42bf-b1c2-2dabbf02147b Normalized Normalized false 0 2738 -6252 57 20 2768 -6242 1 1 {0} true Point at the specified length 5fcc74ba-0e29-4f6c-85df-f1a715ae68be Point Point false 0 2825 -6292 53 20 2853 -6282 Tangent vector at the specified length 73cb7946-f977-44ec-b1c4-35587265ebd7 Tangent Tangent false 0 2825 -6272 53 20 2853 -6262 Curve parameter at the specified length 6d9240b7-36e9-49be-9f55-bc39647103ec Parameter Parameter false 0 2825 -6252 53 20 2853 -6242 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 35cf69c6-1a64-47f3-beee-9ffa3d777872 Interpolate Interpolate 2745 -6400 125 84 2812 -6358 1 Interpolation points 0e79b795-d38e-4540-9f76-3cae416aa75d Vertices Vertices false 5fcc74ba-0e29-4f6c-85df-f1a715ae68be 1 2747 -6398 50 20 2773.5 -6388 Curve degree 023486d2-3d90-4c94-85a8-6ec7e26d3f54 Degree Degree false 0 2747 -6378 50 20 2773.5 -6368 1 1 {0} 1 Periodic curve f0bd6571-6ddf-4f9a-9010-6afb2db35516 Periodic Periodic false 0 2747 -6358 50 20 2773.5 -6348 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) c29a4089-d1df-4eb7-87b8-5760006cd8f1 KnotStyle KnotStyle false 0 2747 -6338 50 20 2773.5 -6328 1 1 {0} 2 Resulting nurbs curve 3d8a624c-87ce-442d-bd4d-01088ae62c90 Curve Curve false 0 2827 -6398 41 26 2849 -6384.667 Curve length 5bf8f24a-c210-4f9f-b69d-6bc3edeb020a Length Length false 0 2827 -6372 41 27 2849 -6358 Curve domain b2911b12-0c31-412f-b48e-4c87f541b21d Domain Domain false 0 2827 -6345 41 27 2849 -6331.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 9cb83053-a3f1-4d08-bad8-b0b6d4352272 Create Material Create Material 2736 -6523 144 104 2820 -6471 Colour of the diffuse channel e4ebfa9c-8dff-4e98-9e81-9e94f8912f89 Diffuse Diffuse false 0 2738 -6521 67 20 2773 -6511 1 1 {0} 255;176;176;176 Colour of the specular highlight a45bbbd8-5417-4fa8-a90e-537d5562f7ff Specular Specular false 0 2738 -6501 67 20 2773 -6491 1 1 {0} 255;0;255;255 Emissive colour of the material 74ef5c1a-cb30-48a5-9045-fc4ac82ef322 Emission Emission false 0 2738 -6481 67 20 2773 -6471 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 3064c491-155d-4541-a63b-4d60abb4fd63 Transparency Transparency false 0 2738 -6461 67 20 2773 -6451 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 8a33f754-f6af-46d8-9c3b-b4e8a215f771 Shine Shine false 0 2738 -6441 67 20 2773 -6431 1 1 {0} 100 Resulting material 11050eac-b82c-4dfe-b312-13b0f6b7bd38 Material Material false 0 2835 -6521 43 100 2858 -6471 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true b0dc11e3-028a-4c68-abf7-dc7f220168c2 Custom Preview Custom Preview 2767 -6585 82 44 2835 -6563 Geometry to preview true cdc9bf03-a4a6-4d0b-8389-a75eda5e95c6 Geometry Geometry false 3d8a624c-87ce-442d-bd4d-01088ae62c90 1 2769 -6583 51 20 2796 -6573 The material override 2a5f5d5d-72d3-442e-996f-30723a10cdf5 Material Material false 11050eac-b82c-4dfe-b312-13b0f6b7bd38 1 2769 -6563 51 20 2796 -6553 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9cb83053-a3f1-4d08-bad8-b0b6d4352272 b0dc11e3-028a-4c68-abf7-dc7f220168c2 2 957995f5-c366-463c-b3ce-f70bdb0ab1f3 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true f204596d-0539-42bc-b3c3-7a6c11f93504 Evaluate Length Evaluate Length 2735 -8127 144 64 2809 -8095 Curve to evaluate 5d07980d-9b5d-4839-9837-673407fab7e2 Curve Curve false 1ebf94f7-22a6-4eab-9980-97aba6b6bb19 1 2737 -8125 57 20 2767 -8115 Length factor for curve evaluation 4fba7df1-34b1-4fae-842c-94ab12f833d3 Length Length false 0 2737 -8105 57 20 2767 -8095 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 4da6ac45-93c0-4778-bf44-2170ee05988f Normalized Normalized false 0 2737 -8085 57 20 2767 -8075 1 1 {0} true Point at the specified length ac7b3481-1027-4677-86c0-0467cd2f6b29 Point Point false 0 2824 -8125 53 20 2852 -8115 Tangent vector at the specified length 9b09da1b-d90b-4e0e-8413-616830d9269b Tangent Tangent false 0 2824 -8105 53 20 2852 -8095 Curve parameter at the specified length aa85df81-6dd0-4755-83a0-661676b646df Parameter Parameter false 0 2824 -8085 53 20 2852 -8075 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 4188728e-68e2-4d42-82f2-19bb6c40b380 Interpolate Interpolate 2744 -8233 125 84 2811 -8191 1 Interpolation points 20e3d53a-42b1-4313-b071-46dba1b25a71 Vertices Vertices false ac7b3481-1027-4677-86c0-0467cd2f6b29 1 2746 -8231 50 20 2772.5 -8221 Curve degree 6ce624b9-0b32-4b5c-a581-6fc102f9456f Degree Degree false 0 2746 -8211 50 20 2772.5 -8201 1 1 {0} 1 Periodic curve 4f7b9876-037c-489e-a1ee-d69840321db6 Periodic Periodic false 0 2746 -8191 50 20 2772.5 -8181 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) c75613a9-6ea8-4f77-a3e5-6e2d236bed31 KnotStyle KnotStyle false 0 2746 -8171 50 20 2772.5 -8161 1 1 {0} 2 Resulting nurbs curve b577260e-1f33-4ead-9e5e-d3fd4bde379a Curve Curve false 0 2826 -8231 41 26 2848 -8217.667 Curve length 8c82ae2b-09c9-4079-ac43-d59ad8341e81 Length Length false 0 2826 -8205 41 27 2848 -8191 Curve domain 52e29a2f-1c7b-4db7-8117-c0141924e05e Domain Domain false 0 2826 -8178 41 27 2848 -8164.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 844999aa-f0e7-431f-b0df-673861258066 Create Material Create Material 2735 -8356 144 104 2819 -8304 Colour of the diffuse channel 2fabe4e0-a17b-4cc8-8636-c46f20d35512 Diffuse Diffuse false 0 2737 -8354 67 20 2772 -8344 1 1 {0} 255;168;168;168 Colour of the specular highlight 6e381911-f2cd-4b19-8843-4a7b22a3c5b8 Specular Specular false 0 2737 -8334 67 20 2772 -8324 1 1 {0} 255;0;255;255 Emissive colour of the material b57b9b21-e4a7-4532-9d71-e0c219a7f3ba Emission Emission false 0 2737 -8314 67 20 2772 -8304 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 1a3bb167-f4f0-42a7-a29d-15464d045612 Transparency Transparency false 0 2737 -8294 67 20 2772 -8284 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine a67b3a4e-371b-4da9-8e68-d995d117f98e Shine Shine false 0 2737 -8274 67 20 2772 -8264 1 1 {0} 100 Resulting material 13d86a2c-22d1-4f55-9666-48646c3be46e Material Material false 0 2834 -8354 43 100 2857 -8304 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true aced67d1-3056-41dd-ae2f-76dd69e0987e Custom Preview Custom Preview 2766 -8418 82 44 2834 -8396 Geometry to preview true c9c40787-4cec-4597-b4a0-acedae807771 Geometry Geometry false b577260e-1f33-4ead-9e5e-d3fd4bde379a 1 2768 -8416 51 20 2795 -8406 The material override 557aa6cd-3da5-442a-aaf3-bee6d3c4fa2a Material Material false 13d86a2c-22d1-4f55-9666-48646c3be46e 1 2768 -8396 51 20 2795 -8386 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 844999aa-f0e7-431f-b0df-673861258066 aced67d1-3056-41dd-ae2f-76dd69e0987e 2 820d65ee-b16e-41e8-bf3f-4da0ede194da Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 849853a5-9fa1-44dc-a6cb-6a6bd83c05a7 Evaluate Length Evaluate Length 2734 -9961 144 64 2808 -9929 Curve to evaluate e0f26723-e6ff-4ce9-b582-f65ee6484a2a Curve Curve false a5bf42cc-02c5-44fd-830f-c8fe1aab6b5a 1 2736 -9959 57 20 2766 -9949 Length factor for curve evaluation 681bc8ed-8583-4ef7-98fd-e37c031a5189 Length Length false 0 2736 -9939 57 20 2766 -9929 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) eb5fc821-c2da-4bae-b1ec-e9520fb0ce91 Normalized Normalized false 0 2736 -9919 57 20 2766 -9909 1 1 {0} true Point at the specified length b579a4ce-06f7-4362-ab8d-dcced9e2a355 Point Point false 0 2823 -9959 53 20 2851 -9949 Tangent vector at the specified length 901e95ff-01af-4061-8ffd-d8fe531bd4a7 Tangent Tangent false 0 2823 -9939 53 20 2851 -9929 Curve parameter at the specified length 5b6fd995-922d-4361-891b-63b05b0af517 Parameter Parameter false 0 2823 -9919 53 20 2851 -9909 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true db4363b4-d574-4300-84c6-5450a67bacc0 Interpolate Interpolate 2743 -10067 125 84 2810 -10025 1 Interpolation points e67764f8-b843-4b5f-bda6-7642b40f29e6 Vertices Vertices false b579a4ce-06f7-4362-ab8d-dcced9e2a355 1 2745 -10065 50 20 2771.5 -10055 Curve degree a4cad95c-dfd4-4581-8d89-b20327c89a1e Degree Degree false 0 2745 -10045 50 20 2771.5 -10035 1 1 {0} 1 Periodic curve 1cb94c23-c004-45a3-924b-67f12eca2f39 Periodic Periodic false 0 2745 -10025 50 20 2771.5 -10015 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) bd640419-7486-46af-91f3-bc0a191b0cd4 KnotStyle KnotStyle false 0 2745 -10005 50 20 2771.5 -9995 1 1 {0} 2 Resulting nurbs curve ec5436f0-1b36-4ea0-81a5-dc0d95baba79 Curve Curve false 0 2825 -10065 41 26 2847 -10051.67 Curve length cb23c111-31ed-4d24-a5df-095fee07f63b Length Length false 0 2825 -10039 41 27 2847 -10025 Curve domain 28600d5d-d27b-4fc7-92e2-d6b582f95712 Domain Domain false 0 2825 -10012 41 27 2847 -9998.334 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true a72749a1-3b33-4ce0-9980-144fc2c4dfd6 Create Material Create Material 2734 -10190 144 104 2818 -10138 Colour of the diffuse channel c5926cab-4646-449b-904f-b2af563a3fee Diffuse Diffuse false 0 2736 -10188 67 20 2771 -10178 1 1 {0} 255;161;161;161 Colour of the specular highlight 6fc6c729-2250-4c8f-84d7-bc281aac89f1 Specular Specular false 0 2736 -10168 67 20 2771 -10158 1 1 {0} 255;0;255;255 Emissive colour of the material b16c46b9-0e96-4ad5-8781-82c985711738 Emission Emission false 0 2736 -10148 67 20 2771 -10138 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 940ae8b1-661d-4b15-a408-4a4a2eb2e3b3 Transparency Transparency false 0 2736 -10128 67 20 2771 -10118 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 1ab3380c-8e2c-471a-bc81-cef12c23e22f Shine Shine false 0 2736 -10108 67 20 2771 -10098 1 1 {0} 100 Resulting material fd4cd563-5745-49a3-a2b6-97794306ac59 Material Material false 0 2833 -10188 43 100 2856 -10138 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true true d890eaf4-c21c-45e8-ac03-75c58ccbdf99 Custom Preview Custom Preview 2765 -10252 82 44 2833 -10230 Geometry to preview true 49248837-c4b5-4f81-a8c4-2a5f6db96f58 Geometry Geometry false ec5436f0-1b36-4ea0-81a5-dc0d95baba79 1 2767 -10250 51 20 2794 -10240 The material override 92d87252-f0c4-46f8-9a9a-d4cef4af76a1 Material Material false fd4cd563-5745-49a3-a2b6-97794306ac59 1 2767 -10230 51 20 2794 -10220 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects a72749a1-3b33-4ce0-9980-144fc2c4dfd6 d890eaf4-c21c-45e8-ac03-75c58ccbdf99 2 717103e5-0ed1-4969-ae88-8af3c23de426 Group 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers f77a5006-5ba9-4819-b46f-c7f246c09821 true Digit Scroller false 0 12 4 0.50000000 4189 -416 250 20 4189.567 -415.0449 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers c27a5a9f-3110-49e1-91f7-6ebafb7c4bc0 true Digit Scroller false 0 12 4 0.01875000 4195 982 250 20 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers b565abfe-af28-4a3d-8aa5-8aa19a0a05d7 true Digit Scroller false 0 12 1 0.02500000000 4205 3328 250 20 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 2cf94056-6af5-459d-9d0b-edb8f8adea38 true Digit Scroller false 0 12 6 0.100000 4183 -4641 250 20 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers d20d51a6-0c15-4c64-97de-546619bd377a true Digit Scroller false 0 12 6 0.130000 4176 -7611 250 20 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 5d91aef4-3441-4a3b-9dc2-547980473cf4 85ee6eeb-392d-4c79-b3c5-af1bf84e29a9 2 9260f95b-108f-4253-b9a3-822f423289c2 Group d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true c805c655-6882-4bac-bcea-fd9c2844f949 Curve Curve false 0 4041 7771 50 24 4066.609 7783.651 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d8b69669-a2bd-4187-9589-204f3dbe274a Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2773 3175 40 16 2793 3183 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 45cacb59-db8f-4bcf-92f7-9858295e7129 Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2782 1281 40 16 2802 1289 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object f0a46a15-062c-4b96-9a51-0ebf280e5a4a Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2789 -479 40 16 2809 -471 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object f49ae725-c6ea-4bce-920d-d82e9007d475 Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2782 -2286 40 16 2802 -2278 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object eecc13d9-74f4-4560-a0dc-f0d6eb44d03c Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2786 -4075 40 16 2806 -4067 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 647310bf-b19d-44df-ae6f-ffbd5b863fe9 Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2788 -5874 40 16 2808 -5866 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3dafff0e-0659-48ab-98e3-7c33bcf0fda5 Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2787 -7678 40 16 2807 -7670 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a5231a70-f4f4-4b81-9867-e1428a4b482a Relay false e987d189-a3ef-46bd-bffd-d627e83d8e15 1 2790 -9508 40 16 2810 -9500 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 817a1f1b-9353-4d8d-84f9-673116fd6d05 true Relay false 1f4d203a-7210-473f-9482-f99a19778d4f 1 4327 -1809 40 16 4347 -1801 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 515aa4ed-7d0b-41c2-8a15-e458b1f9659f 1735ea28-d9c2-460e-8036-e182399799eb 72240493-81f6-452f-95bf-65412ec6da40 abd2599c-b66f-4796-b135-505f6671f818 7b9d6ded-0c99-487c-9351-2a3cca1c2110 c2e639ee-1c56-4725-9c22-3c83610edc53 6 43b023af-f07e-4a31-a9df-6190e568ad23 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 4758f29a-fcd1-49e3-b3cc-e2a0f1f2ea21 2a742a75-74ce-40db-9edd-69648e8ca64b 10b2a433-1080-4d9a-abca-e4f123bebcf3 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 120b5798-7e93-4f8d-a27d-8c208f89e6e7 cc5800cb-d854-4add-8c32-efe50fa3d2eb 6d2839a1-e43f-4aae-8139-56c8a3457cb7 4efe6b4e-959d-49f7-b9de-2270f0224cdd 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 6e65bcbe-4b23-49e9-a8a9-1695d9f5d7eb e5326a5c-380c-4faf-be70-a5ef64ca144c 711a6046-10d3-4bbf-bc8b-838cffa466d5 8c9f984b-f9d5-472c-8b9b-1a382ce7fd31 b073a17e-c314-4385-81b2-7fbf1d49f248 dd0d43a1-de87-4342-8507-d855b718c931 8ec23702-5fe2-4be1-8332-98f416ab5ddc 4d10f13d-6355-45d6-87eb-ccaaefa51805 9e2762c3-ea73-4bee-ae02-cb37abac4507 07432975-046f-408a-b936-f3cc88f52ba8 df348b4a-11d0-42c2-8b77-bf4df126b9b4 c6db8cd0-9eb3-4673-bc52-c07eba1c8691 8020b978-8059-4fb8-9dfc-499634e3eb36 0080791e-d2ab-4d97-92f0-aa070e790b17 03e045d1-2ed6-4631-95ce-9a0b3d4a109d 852a904e-5051-41c4-bd2e-4fa4a61a1412 81a6a5dd-5254-4136-8fa8-e24714b0cbad 45266b01-7b74-4de8-9ea4-1aaeed8c1eec 66c7d9bd-29ad-462d-b663-7baf7b463b5a 374cb792-533f-446a-ae0e-b3bc386a0522 f1845088-2665-4e94-b3b9-78b3dcda391d bac62c71-29c9-436a-b5bb-4e2895fa0124 c9a78eeb-6570-40b7-a6b2-6846321790d3 985368d2-fe10-4d78-ab09-0fb0a2c36be2 a95966a7-ea64-4957-b7d7-09be00ba5fe2 df8758b2-500d-4069-81dd-a88445f1e688 eb120ca0-0ff6-46cb-b130-cf60a5f94465 389aa786-c3b4-496b-83f0-a1a246a30e2b aded80e6-bb12-4515-a081-336e91457834 27ccc10c-171d-4c69-a49b-b16712c5b030 d27685f1-474c-4ad8-a45e-702164d36f6d 5eb498a8-9e2a-4f4d-817c-7ad083a5967c 9e8a3a26-c196-4a8e-8854-2e1303fa393c 3ad53410-543a-415e-9b3c-24de86d30cb0 4b26507f-868d-45c5-8260-3c0775a0897d b87313ab-683d-437f-84f9-c4631a1cfdfb d5df7362-ace1-438d-a2e8-b69f30a93618 15fd20f0-1058-4765-bd6d-bf7e3601c6ea b4ca4350-099e-4bb2-a4bc-362a6f55955e acf3251a-f637-45d9-9c01-5780e7bdd10b 67c46ea0-3552-4a78-9bad-2a4011c0ee60 e377c3a4-d1c3-496e-9d02-4580852cab7f efb9e513-73c3-4e1d-af61-ff13277f6386 006de0bd-a99a-4cec-937d-c3306770ce03 b1b40210-218f-4eda-9d9f-b666946fe136 0eb87ca0-6ac5-40ff-9940-c146c824e945 841bc79c-9937-423d-9430-76e4ebfeb004 99bde510-8938-4c7b-a447-2b979324a643 d6496b1d-3cbc-47ce-a7e8-7ec952159dbc 469590de-f73d-4fcc-ae7d-120c40eb69d3 51f60437-3aff-4578-a646-e734c437b992 97169a5c-4e5b-4b8b-88ff-cb094938af11 916c0763-c6f9-41e1-a247-a9935450203a 62 78390c78-fa9d-462a-ac30-4ea767408457 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects df348b4a-11d0-42c2-8b77-bf4df126b9b4 1 4758f29a-fcd1-49e3-b3cc-e2a0f1f2ea21 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 10b2a433-1080-4d9a-abca-e4f123bebcf3 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 120b5798-7e93-4f8d-a27d-8c208f89e6e7 cc5800cb-d854-4add-8c32-efe50fa3d2eb 6d2839a1-e43f-4aae-8139-56c8a3457cb7 4efe6b4e-959d-49f7-b9de-2270f0224cdd 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 6e65bcbe-4b23-49e9-a8a9-1695d9f5d7eb 711a6046-10d3-4bbf-bc8b-838cffa466d5 e5326a5c-380c-4faf-be70-a5ef64ca144c 4758f29a-fcd1-49e3-b3cc-e2a0f1f2ea21 97169a5c-4e5b-4b8b-88ff-cb094938af11 916c0763-c6f9-41e1-a247-a9935450203a 13 2a742a75-74ce-40db-9edd-69648e8ca64b Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 10b2a433-1080-4d9a-abca-e4f123bebcf3 Duplicate Data Duplicate Data 2851 12845 104 64 2910 12877 1 Data to duplicate 39022369-8009-4619-ac85-45305291e4d4 Data Data false c49582fd-259a-4b4b-aac3-ff1ee9763cfb 1 2853 12847 42 20 2875.5 12857 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 82d1be17-2774-4b26-b555-ade5d661ee12 Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 2853 12867 42 20 2875.5 12877 1 1 {0} 500 Retain list order 1ef46d32-8eca-4348-a849-f5a00514337c Order Order false 0 2853 12887 42 20 2875.5 12897 1 1 {0} true 1 Duplicated data 57b53898-8f7d-44d8-a1ae-1666c8e1dc5f Data Data false 0 2925 12847 28 60 2940.5 12877 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 2849 11751 116 44 2910 11773 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 4d7f558e-a67e-48b3-a167-22e84e270a82 Forward Forward true 1 true 57b53898-8f7d-44d8-a1ae-1666c8e1dc5f 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 2851 11753 44 20 2874.5 11763 1 false Script Variable Left 954cdc51-7b47-42ef-bb13-1963de0736b8 Left Left true 1 true 51f60437-3aff-4578-a646-e734c437b992 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 2851 11773 44 20 2874.5 11783 Print, Reflect and Error streams 1c4524ee-982e-496e-940e-b76dc9d05b6a Output Output false 0 2925 11753 38 20 2945.5 11763 Output parameter Points 63c92217-d37f-4363-846e-d0e6c9bbeff9 Points Points false 0 2925 11773 38 20 2945.5 11783 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 120b5798-7e93-4f8d-a27d-8c208f89e6e7 Point Point false 59a00a81-4b6c-4039-a191-eefacc5e6e0e 1 2859 11460 50 24 2884.913 11472.83 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true cc5800cb-d854-4add-8c32-efe50fa3d2eb Series Series 2849 12228 101 64 2899 12260 First number in the series f1e5a406-fccd-42ba-bc76-0641686130c8 Start Start false 0 2851 12230 33 20 2869 12240 1 1 {0} 0 Step size for each successive number 7ff299e3-25a1-46ed-a125-ec5dc67e9908 Step Step false 42c73156-b980-4c30-a0e4-f33968a6c162 1 2851 12250 33 20 2869 12260 1 1 {0} 1 Number of values in the series d4c81d22-01c4-49b1-ae64-d9163b176eb3 Count Count false 841bc79c-9937-423d-9430-76e4ebfeb004 1 2851 12270 33 20 2869 12280 1 Series of numbers f1a5d7bc-42be-4799-83f9-ac28feb25791 Series Series false 0 2914 12230 34 60 2932.5 12260 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 4efe6b4e-959d-49f7-b9de-2270f0224cdd Radians Radians 2839 12376 120 28 2900 12390 Angle in degrees 86d2687b-e8ed-42be-be19-17b2ac144398 Degrees Degrees false bb7c6e56-db88-4b95-97d6-7f9c63deab58 1 2841 12378 44 24 2864.5 12390 Angle in radians 42c73156-b980-4c30-a0e4-f33968a6c162 Radians Radians false 0 2915 12378 42 24 2937.5 12390 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00000007490 2773 12707 250 20 2773.903 12707.24 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true e5326a5c-380c-4faf-be70-a5ef64ca144c Interpolate (t) Interpolate (t) 2816 11189 144 84 2902 11231 1 Interpolation points 73643587-5c3d-4e81-b6ee-755cc723d65d Vertices Vertices false b05b142f-4c7d-4ff8-8a0d-e4cc0cf78eb2 1 2818 11191 69 20 2854 11201 Tangent at start of curve 40ab1b9f-3fd9-4c95-815b-693311852928 Tangent Start Tangent Start false 0 2818 11211 69 20 2854 11221 1 1 {0} 0.0625 0 0 Tangent at end of curve d678c573-372c-40a6-918a-7a4ac2a4d88f Tangent End Tangent End false 0 2818 11231 69 20 2854 11241 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 644e5c80-3fe1-4187-8639-0f5c02a7e4f1 KnotStyle KnotStyle false 0 2818 11251 69 20 2854 11261 1 1 {0} 2 Resulting nurbs curve ab685143-f515-47d5-bdf0-735b4b5153bd Curve Curve false 0 2917 11191 41 26 2939 11204.33 Curve length f8ebec05-89f2-493b-b8e5-109f1edbe578 Length Length false 0 2917 11217 41 27 2939 11231 Curve domain d512ab32-3866-4496-9223-be577a000368 Domain Domain false 0 2917 11244 41 27 2939 11257.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 10b2a433-1080-4d9a-abca-e4f123bebcf3 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 120b5798-7e93-4f8d-a27d-8c208f89e6e7 cc5800cb-d854-4add-8c32-efe50fa3d2eb 6d2839a1-e43f-4aae-8139-56c8a3457cb7 4efe6b4e-959d-49f7-b9de-2270f0224cdd 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 6e65bcbe-4b23-49e9-a8a9-1695d9f5d7eb 930e1928-ff32-4623-a204-dbf6553b9ace 589075b9-2b51-480f-92d4-4420a7b92fd9 b1b40210-218f-4eda-9d9f-b666946fe136 006de0bd-a99a-4cec-937d-c3306770ce03 37c75f14-1e75-4f2c-b59c-513984ea2ab4 0f7fe3af-0625-4ea2-86cc-301fc60faa51 14 711a6046-10d3-4bbf-bc8b-838cffa466d5 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 8c9f984b-f9d5-472c-8b9b-1a382ce7fd31 Evaluate Length Evaluate Length 2816 11021 144 64 2890 11053 Curve to evaluate 216ba8ea-573c-4ed4-87ac-501b75d0851f Curve Curve false ab685143-f515-47d5-bdf0-735b4b5153bd 1 2818 11023 57 20 2848 11033 Length factor for curve evaluation 3f0a5dd8-130c-4c8f-8a08-7f5bb28c440f Length Length false 0 2818 11043 57 20 2848 11053 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 015ab1eb-497b-48d8-af27-55613993e498 Normalized Normalized false 0 2818 11063 57 20 2848 11073 1 1 {0} true Point at the specified length 5e1fb162-6236-4bd4-8041-e5fc2d038352 Point Point false 0 2905 11023 53 20 2933 11033 Tangent vector at the specified length 8964f33a-f8a6-41c4-8adc-a9b58fafc7c8 Tangent Tangent false 0 2905 11043 53 20 2933 11053 Curve parameter at the specified length 3de66104-8d61-416b-9229-03e45df8f0d4 Parameter Parameter false 0 2905 11063 53 20 2933 11073 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true b073a17e-c314-4385-81b2-7fbf1d49f248 Mirror Mirror 2819 10959 138 44 2887 10981 Base geometry 969f3e76-0c15-4474-a907-6af6626a5e57 Geometry Geometry true ab685143-f515-47d5-bdf0-735b4b5153bd 1 2821 10961 51 20 2848 10971 Mirror plane 6c61a70a-cbde-4b9f-98fd-33038fd1e40c Plane Plane false c67847e9-14e4-460b-a3e7-f4d5d496aaec 1 2821 10981 51 20 2848 10991 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 8b5c246f-4879-4ee1-8ded-08505b93eaff Geometry Geometry false 0 2902 10961 53 20 2930 10971 Transformation data 261d0969-6b5c-4d4b-a782-d609cc216f6c Transform Transform false 0 2902 10981 53 20 2930 10991 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true dd0d43a1-de87-4342-8507-d855b718c931 Line SDL Line SDL 2835 11105 106 64 2899 11137 Line start point f0375c46-8ab1-47ac-8d0b-17e20c132caf Start Start false 5e1fb162-6236-4bd4-8041-e5fc2d038352 1 2837 11107 47 20 2862 11117 Line tangent (direction) 1b08bf37-6aa1-45d1-b097-cfb735bfc0bc Direction Direction false 8964f33a-f8a6-41c4-8adc-a9b58fafc7c8 1 2837 11127 47 20 2862 11137 1 1 {0} 0 0 1 Line length b61b5581-4b29-4fec-95dd-d8515f30bce0 Length Length false 0 2837 11147 47 20 2862 11157 1 1 {0} 1 Line segment c67847e9-14e4-460b-a3e7-f4d5d496aaec Line Line false 0 2914 11107 25 60 2928 11137 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 8ec23702-5fe2-4be1-8332-98f416ab5ddc Join Curves Join Curves 2829 10897 118 44 2892 10919 1 Curves to join 369956ec-3d36-46ed-a424-24c8883bd5fd Curves Curves false ab685143-f515-47d5-bdf0-735b4b5153bd 8b5c246f-4879-4ee1-8ded-08505b93eaff 2 2831 10899 46 20 2855.5 10909 Preserve direction of input curves 08679527-ca8f-4f96-a49c-33c156c8ad04 Preserve Preserve false 0 2831 10919 46 20 2855.5 10929 1 1 {0} false 1 Joined curves and individual curves that could not be joined. a16d9668-d615-49d8-bd88-f7c5d0263a61 Curves Curves false 0 2907 10899 38 40 2927.5 10919 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 4d10f13d-6355-45d6-87eb-ccaaefa51805 Evaluate Length Evaluate Length 2816 10813 144 64 2890 10845 Curve to evaluate d686837e-9bcd-488a-830a-e2b72b687a76 Curve Curve false a16d9668-d615-49d8-bd88-f7c5d0263a61 1 2818 10815 57 20 2848 10825 Length factor for curve evaluation 2307a3b0-5c64-46e2-a3c9-5fc5d613ec84 Length Length false 0 2818 10835 57 20 2848 10845 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) e9c10ff4-8e68-48fd-92ce-23f5d1884e82 Normalized Normalized false 0 2818 10855 57 20 2848 10865 1 1 {0} true Point at the specified length 29c4abcc-8a61-4b59-a3f5-01aec3dd7884 Point Point false 0 2905 10815 53 20 2933 10825 Tangent vector at the specified length 14cce23f-6b3f-4c61-ad91-66fbcddd7d58 Tangent Tangent false 0 2905 10835 53 20 2933 10845 Curve parameter at the specified length 2fcbfec6-f66c-45de-881f-07f8445f134d Parameter Parameter false 0 2905 10855 53 20 2933 10865 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 9e2762c3-ea73-4bee-ae02-cb37abac4507 Rotate Rotate 2819 10730 138 64 2887 10762 Base geometry 7c503bf9-0363-4afb-961c-c44bbc071267 Geometry Geometry true a16d9668-d615-49d8-bd88-f7c5d0263a61 1 2821 10732 51 20 2848 10742 Rotation angle in radians e70e7b40-7ce3-4830-9d3e-c2231ea40a2c Angle Angle false 0 false 2821 10752 51 20 2848 10762 1 1 {0} 3.1415926535897931 Rotation plane 7692ee51-76b9-448f-aa9e-bac38e5d4abb Plane Plane false 29c4abcc-8a61-4b59-a3f5-01aec3dd7884 1 2821 10772 51 20 2848 10782 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry bf0f2ce2-2957-4cc4-98d9-494d053f5904 Geometry Geometry false 0 2902 10732 53 30 2930 10747 Transformation data a95874c0-197c-4794-bfcc-a539b1b14af5 Transform Transform false 0 2902 10762 53 30 2930 10777 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 07432975-046f-408a-b936-f3cc88f52ba8 Join Curves Join Curves 2829 10667 118 44 2892 10689 1 Curves to join 6016bebc-23fb-479f-acdc-76d0c5abc04c Curves Curves false a16d9668-d615-49d8-bd88-f7c5d0263a61 bf0f2ce2-2957-4cc4-98d9-494d053f5904 2 2831 10669 46 20 2855.5 10679 Preserve direction of input curves 1771f275-0a51-4ba0-a603-511f63db61ef Preserve Preserve false 0 2831 10689 46 20 2855.5 10699 1 1 {0} false 1 Joined curves and individual curves that could not be joined. a1fd42b8-c6dd-4799-a97e-644d20681eee Curves Curves false 0 2907 10669 38 40 2927.5 10689 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e5326a5c-380c-4faf-be70-a5ef64ca144c 8c9f984b-f9d5-472c-8b9b-1a382ce7fd31 b073a17e-c314-4385-81b2-7fbf1d49f248 dd0d43a1-de87-4342-8507-d855b718c931 8ec23702-5fe2-4be1-8332-98f416ab5ddc 4d10f13d-6355-45d6-87eb-ccaaefa51805 9e2762c3-ea73-4bee-ae02-cb37abac4507 07432975-046f-408a-b936-f3cc88f52ba8 8020b978-8059-4fb8-9dfc-499634e3eb36 9 df348b4a-11d0-42c2-8b77-bf4df126b9b4 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c6db8cd0-9eb3-4673-bc52-c07eba1c8691 Panel false 0 a95966a7-ea64-4957-b7d7-09be00ba5fe2 1 Double click to edit panel content… 2829 12333 145 20 0 0 0 2829.287 12333.55 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 8020b978-8059-4fb8-9dfc-499634e3eb36 Curve Curve false a1fd42b8-c6dd-4799-a97e-644d20681eee 1 2865 10635 50 24 2890.651 10647.03 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 8020b978-8059-4fb8-9dfc-499634e3eb36 1 0080791e-d2ab-4d97-92f0-aa070e790b17 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 03e045d1-2ed6-4631-95ce-9a0b3d4a109d Panel false 0 0 0.0013733120705119695*4*4 2801 12456 270 20 0 0 0 2801.668 12456.35 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 852a904e-5051-41c4-bd2e-4fa4a61a1412 Evaluate Length Evaluate Length 2816 10541 144 64 2890 10573 Curve to evaluate 4714887a-6a76-445e-80db-1ac7d26fcc2b Curve Curve false a1fd42b8-c6dd-4799-a97e-644d20681eee 1 2818 10543 57 20 2848 10553 Length factor for curve evaluation 3c415b24-4842-42da-a2c5-d7d56b124c52 Length Length false 0 2818 10563 57 20 2848 10573 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) a00e067a-2433-4d4e-bfcf-1395ed3570db Normalized Normalized false 0 2818 10583 57 20 2848 10593 1 1 {0} true Point at the specified length 2ca71a11-832e-437e-8324-1091bbde1db1 Point Point false 0 2905 10543 53 20 2933 10553 Tangent vector at the specified length ef8f9d17-df24-437e-877c-b1e41d85b138 Tangent Tangent false 0 2905 10563 53 20 2933 10573 Curve parameter at the specified length a82441d4-4a52-4645-a0a1-79576a50c728 Parameter Parameter false 0 2905 10583 53 20 2933 10593 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 81a6a5dd-5254-4136-8fa8-e24714b0cbad Expression Expression 2791 10319 194 28 2891 10333 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 157206c1-ab42-4318-96ab-ad74bada3374 Variable O O true 2b2ee6d2-d98e-4bdf-9429-42273788f8ff 1 2793 10321 14 24 2801.5 10333 Result of expression aa9e8752-ce5c-42d3-8dc2-5932c4fb9e08 Result false 0 2974 10321 9 24 2980 10333 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 45266b01-7b74-4de8-9ea4-1aaeed8c1eec Deconstruct Deconstruct 2822 10453 132 64 2869 10485 Input point 9c49fa7c-a96f-49d4-b2e3-9064f5977a10 Point Point false 2ca71a11-832e-437e-8324-1091bbde1db1 1 2824 10455 30 60 2840.5 10485 Point {x} component 2b2ee6d2-d98e-4bdf-9429-42273788f8ff X component X component false 0 2884 10455 68 20 2919.5 10465 Point {y} component 504f6ffa-55e6-43e4-bda1-de4df5ad0700 Y component Y component false 0 2884 10475 68 20 2919.5 10485 Point {z} component 15b65946-9ce1-428d-93ce-5c1a40cb9cb8 Z component Z component false 0 2884 10495 68 20 2919.5 10505 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 66c7d9bd-29ad-462d-b663-7baf7b463b5a Panel false 0 aa9e8752-ce5c-42d3-8dc2-5932c4fb9e08 1 Double click to edit panel content… 2811 10291 160 20 0 0 0 2811.145 10291.03 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 374cb792-533f-446a-ae0e-b3bc386a0522 Expression Expression 2791 10233 194 28 2891 10247 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 4568c64c-2f77-4d7c-b013-9072ec0eaa8f Variable O O true 504f6ffa-55e6-43e4-bda1-de4df5ad0700 1 2793 10235 14 24 2801.5 10247 Result of expression 24498af1-4bef-4f71-b7a7-f0a40381fc09 Result false 0 2974 10235 9 24 2980 10247 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f1845088-2665-4e94-b3b9-78b3dcda391d Panel false 0 24498af1-4bef-4f71-b7a7-f0a40381fc09 1 Double click to edit panel content… 2811 10202 160 20 0 0 0 2811.145 10202.6 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true bac62c71-29c9-436a-b5bb-4e2895fa0124 Division Division 2847 10131 82 44 2878 10153 Item to divide (dividend) 8d6c97b4-990b-4de2-8932-3a52dec3e215 A A false 66c7d9bd-29ad-462d-b663-7baf7b463b5a 1 2849 10133 14 20 2857.5 10143 Item to divide with (divisor) ca8f01e2-4cd1-402a-a667-dd3e7cb74f49 B B false f1845088-2665-4e94-b3b9-78b3dcda391d 1 2849 10153 14 20 2857.5 10163 The result of the Division c0a66db3-05c3-4a8c-b9dc-4d9db92778ae Result Result false 0 2893 10133 34 40 2911.5 10153 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c9a78eeb-6570-40b7-a6b2-6846321790d3 Panel false 0 a95966a7-ea64-4957-b7d7-09be00ba5fe2 1 Double click to edit panel content… 2811 10047 160 20 0 0 0 2811.203 10047.72 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 985368d2-fe10-4d78-ab09-0fb0a2c36be2 Expression Expression 2791 10084 194 28 2891 10098 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2c5c6136-77d7-487c-803a-208d46548e7e Variable O O true c0a66db3-05c3-4a8c-b9dc-4d9db92778ae 1 2793 10086 14 24 2801.5 10098 Result of expression edcf80aa-6916-43fb-a4f1-c6c283257647 Result false 0 2974 10086 9 24 2980 10098 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a95966a7-ea64-4957-b7d7-09be00ba5fe2 Relay false edcf80aa-6916-43fb-a4f1-c6c283257647 1 2868 10009 40 16 2888 10017 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true df8758b2-500d-4069-81dd-a88445f1e688 Addition Addition 2847 9946 82 44 2878 9968 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition a4cb56d1-b5b5-4d26-bbb7-c654fcfeede4 A A true f1845088-2665-4e94-b3b9-78b3dcda391d 1 2849 9948 14 20 2857.5 9958 Second item for addition e6b30dfa-02be-473f-80f7-dedf65668b30 B B true 66c7d9bd-29ad-462d-b663-7baf7b463b5a 1 2849 9968 14 20 2857.5 9978 Result of addition c06abffe-5c17-4448-957b-aa786d18d656 Result Result false 0 2893 9948 34 40 2911.5 9968 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true eb120ca0-0ff6-46cb-b130-cf60a5f94465 Division Division 2847 9796 82 44 2878 9818 Item to divide (dividend) dc7eb66d-e721-4fd1-a3ab-7b1c7d172c84 A A false 27ccc10c-171d-4c69-a49b-b16712c5b030 1 2849 9798 14 20 2857.5 9808 Item to divide with (divisor) d0dfc509-725f-407f-aa70-1c2cefd4200e B B false 0 2849 9818 14 20 2857.5 9828 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division f889d4f2-95c1-4ce8-b6b7-68da75fe5436 Result Result false 0 2893 9798 34 40 2911.5 9818 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 389aa786-c3b4-496b-83f0-a1a246a30e2b Expression Expression 2791 9748 194 28 2891 9762 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7a60aad7-c372-4c57-86cb-4c684003fe52 Variable O O true f889d4f2-95c1-4ce8-b6b7-68da75fe5436 1 2793 9750 14 24 2801.5 9762 Result of expression aee029a4-9aa4-479c-86d7-8c49ca9805b2 Result false 0 2974 9750 9 24 2980 9762 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values aded80e6-bb12-4515-a081-336e91457834 Panel false 0 aee029a4-9aa4-479c-86d7-8c49ca9805b2 1 Double click to edit panel content… 2811 9718 160 20 0 0 0 2811.145 9718.942 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 27ccc10c-171d-4c69-a49b-b16712c5b030 Panel false 0 c5d9651e-226e-4f93-b2fd-90bb3dbf63d9 1 Double click to edit panel content… 2811 9870 160 20 0 0 0 2811.145 9870.853 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d27685f1-474c-4ad8-a45e-702164d36f6d Expression Expression 2791 9899 194 28 2891 9913 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 410640f2-10f1-4b9c-a6cf-553733d8f7cb Variable O O true c06abffe-5c17-4448-957b-aa786d18d656 1 2793 9901 14 24 2801.5 9913 Result of expression c5d9651e-226e-4f93-b2fd-90bb3dbf63d9 Result false 0 2974 9901 9 24 2980 9913 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 5eb498a8-9e2a-4f4d-817c-7ad083a5967c Scale Scale 2811 9625 154 64 2895 9657 Base geometry 61d635cf-7d82-44d9-8287-80e464f5b694 Geometry Geometry true 8020b978-8059-4fb8-9dfc-499634e3eb36 1 2813 9627 67 20 2856 9637 Center of scaling 206a0f7a-667d-4788-afba-45f96f0c6905 Center Center false 0 2813 9647 67 20 2856 9657 1 1 {0} 0 0 0 Scaling factor d1b5d377-575b-41af-95da-56e8a19c7f59 1/X Factor Factor false aded80e6-bb12-4515-a081-336e91457834 1 2813 9667 67 20 2856 9677 1 1 {0} 0.5 Scaled geometry c07ab784-3c82-4b45-8ddc-07ac374aeffa Geometry Geometry false 0 2910 9627 53 30 2938 9642 Transformation data 27dd4a64-043b-43bb-a256-0a45ea81567f Transform Transform false 0 2910 9657 53 30 2938 9672 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 9e8a3a26-c196-4a8e-8854-2e1303fa393c Curve Curve false c07ab784-3c82-4b45-8ddc-07ac374aeffa 1 2879 9129 50 24 2904.118 9141.304 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3ad53410-543a-415e-9b3c-24de86d30cb0 Expression Expression 2791 10406 194 28 2891 10420 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 4c745894-eaa5-4669-8cbf-c69e90e5c5ba Variable O O true 15b65946-9ce1-428d-93ce-5c1a40cb9cb8 1 2793 10408 14 24 2801.5 10420 Result of expression 3e48293e-a9a4-4b7a-9e70-854c51987645 Result false 0 2974 10408 9 24 2980 10420 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4b26507f-868d-45c5-8260-3c0775a0897d Panel false 0 3e48293e-a9a4-4b7a-9e70-854c51987645 1 Double click to edit panel content… 2811 10376 160 20 0 0 0 2811.017 10376.8 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true b87313ab-683d-437f-84f9-c4631a1cfdfb Evaluate Length Evaluate Length 2816 9542 144 64 2890 9574 Curve to evaluate 69475151-b588-4d2e-afa9-ea5c3c17fb6e Curve Curve false c07ab784-3c82-4b45-8ddc-07ac374aeffa 1 2818 9544 57 20 2848 9554 Length factor for curve evaluation 5a470922-56e6-499f-bea0-07027ee34d9e Length Length false 0 2818 9564 57 20 2848 9574 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 0f6a5a19-7acc-4965-ab8d-50a9a096737a Normalized Normalized false 0 2818 9584 57 20 2848 9594 1 1 {0} true Point at the specified length c1b5e8bc-9fbc-402a-a7df-de66d786dc1f Point Point false 0 2905 9544 53 20 2933 9554 Tangent vector at the specified length 5b8dd0bb-4d03-478e-b66a-b8d6e987f354 Tangent Tangent false 0 2905 9564 53 20 2933 9574 Curve parameter at the specified length c2ffa1b1-5414-4a45-b3f6-ede4f543b020 Parameter Parameter false 0 2905 9584 53 20 2933 9594 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d5df7362-ace1-438d-a2e8-b69f30a93618 Expression Expression 2791 9325 194 28 2891 9339 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 9258d55a-68e1-42e7-ba8d-43fe08f28eca Variable O O true 772165b2-0aa3-4b64-9628-839c09327ef0 1 2793 9327 14 24 2801.5 9339 Result of expression 9f03dc3c-6605-4a0b-8bfe-4d803586c26b Result false 0 2974 9327 9 24 2980 9339 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 15fd20f0-1058-4765-bd6d-bf7e3601c6ea Deconstruct Deconstruct 2822 9459 132 64 2869 9491 Input point 4ee98b37-12d2-44aa-87fa-92c4937e4f98 Point Point false c1b5e8bc-9fbc-402a-a7df-de66d786dc1f 1 2824 9461 30 60 2840.5 9491 Point {x} component 772165b2-0aa3-4b64-9628-839c09327ef0 X component X component false 0 2884 9461 68 20 2919.5 9471 Point {y} component 07724da5-4f70-4ab0-a131-d2bc9e1d0490 Y component Y component false 0 2884 9481 68 20 2919.5 9491 Point {z} component f53326c4-29ba-4f2d-8f77-be5f2f627c59 Z component Z component false 0 2884 9501 68 20 2919.5 9511 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b4ca4350-099e-4bb2-a4bc-362a6f55955e Panel false 0 9f03dc3c-6605-4a0b-8bfe-4d803586c26b 1 Double click to edit panel content… 2823 9259 160 20 0 0 0 2823.4 9259.304 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true acf3251a-f637-45d9-9c01-5780e7bdd10b Expression Expression 2804 9201 194 28 2904 9215 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 0c1ccd0d-1424-4483-bbf7-e2035b1be211 Variable O O true 07724da5-4f70-4ab0-a131-d2bc9e1d0490 1 2806 9203 14 24 2814.5 9215 Result of expression 12b40d20-1096-4520-bf74-1865c0504a2b Result false 0 2987 9203 9 24 2993 9215 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 67c46ea0-3552-4a78-9bad-2a4011c0ee60 Panel false 0 12b40d20-1096-4520-bf74-1865c0504a2b 1 Double click to edit panel content… 2823 9172 160 20 0 0 0 2823.4 9172.603 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e377c3a4-d1c3-496e-9d02-4580852cab7f Expression Expression 2791 9411 194 28 2891 9425 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 21ea2b06-e65f-4b86-bfc2-f0f5a8940e78 Variable O O true f53326c4-29ba-4f2d-8f77-be5f2f627c59 1 2793 9413 14 24 2801.5 9425 Result of expression 4d0482bf-0d45-41cd-a279-b89b98c6634f Result false 0 2974 9413 9 24 2980 9425 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values efb9e513-73c3-4e1d-af61-ff13277f6386 Panel false 0 4d0482bf-0d45-41cd-a279-b89b98c6634f 1 Double click to edit panel content… 2811 9383 160 20 0 0 0 2811.145 9383.522 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 006de0bd-a99a-4cec-937d-c3306770ce03 Panel false 0 0 0 256 0.0013733120705119695 0 4096 0.0000053644183496292 2720 12495 379 104 0 0 0 2720.645 12495.88 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b1b40210-218f-4eda-9d9f-b666946fe136 Panel false 1 9e758df8-3eb2-4a9b-a2a7-31ff7eb0b610 1 Double click to edit panel content… 2714 11530 355 100 0 0 0 2714.224 11530.1 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0eb87ca0-6ac5-40ff-9940-c146c824e945 Expression Expression 2802 11676 194 28 2902 11690 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable bb9ecb24-d4d2-43db-83d4-970904babf5f Variable O O true 63c92217-d37f-4363-846e-d0e6c9bbeff9 1 2804 11678 14 24 2812.5 11690 Result of expression 9e758df8-3eb2-4a9b-a2a7-31ff7eb0b610 Result false 0 2985 11678 9 24 2991 11690 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 841bc79c-9937-423d-9430-76e4ebfeb004 Number Number false fce57c1e-7c8c-442e-8c34-f03322b193c3 1 2880 13024 50 24 2905.571 13036.16 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9e8a3a26-c196-4a8e-8854-2e1303fa393c 1 64923356-6497-46c4-a05e-5b8f988355e4 Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 99bde510-8938-4c7b-a447-2b979324a643 Expression Expression 2802 12157 194 28 2902 12171 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable dd37c0ef-f4e0-4aae-86ec-02a981a1c5c5 Variable O O true 51f60437-3aff-4578-a646-e734c437b992 1 2804 12159 14 24 2812.5 12171 Result of expression cffc8100-2777-4619-b131-1a5e819d40fd Result false 0 2985 12159 9 24 2991 12171 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d6496b1d-3cbc-47ce-a7e8-7ec952159dbc Panel false 0 cffc8100-2777-4619-b131-1a5e819d40fd 1 Double click to edit panel content… 2804 11875 194 271 0 0 0 2804.914 11875.66 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 469590de-f73d-4fcc-ae7d-120c40eb69d3 Relay false d6496b1d-3cbc-47ce-a7e8-7ec952159dbc 1 2879 11834 40 16 2899 11842 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 51f60437-3aff-4578-a646-e734c437b992 Relay false f1a5d7bc-42be-4799-83f9-ac28feb25791 1 2879 12202 40 16 2899 12210 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 814a02f9-581f-4e49-8bf6-3bf7302aebc5 End Points End Points 3248 9642 96 44 3298 9664 Curve to evaluate 93f29955-6784-4f34-a401-d9bc3adc595b Curve Curve false 3a9461d7-facc-4583-996d-d7d4e94813c3 1 3250 9644 33 40 3268 9664 Curve start point 9ee6a458-c21b-4a29-a210-ad0beb88e15d Start Start false 0 3313 9644 29 20 3329 9654 Curve end point 772a479f-460c-4857-b161-78e28aa2baad End End false 0 3313 9664 29 20 3329 9674 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true c839cd89-8621-40a9-9be8-12b4c18d2007 Rectangle 2Pt Rectangle 2Pt 3233 9539 126 84 3291 9581 Rectangle base plane b916715c-5f60-4ccc-898f-6f59c6412c27 Plane Plane false 0 3235 9541 41 20 3257 9551 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 8684c51f-07d4-4d76-a04b-9622da64aca6 Point A Point A false 9ee6a458-c21b-4a29-a210-ad0beb88e15d 1 3235 9561 41 20 3257 9571 1 1 {0} 0 0 0 Second corner point. a46377f7-8012-4046-91fe-271430f55d19 Point B Point B false 772a479f-460c-4857-b161-78e28aa2baad 1 3235 9581 41 20 3257 9591 1 1 {0} 10 5 0 Rectangle corner fillet radius 90b47f91-3db2-4afa-a796-1a8cdb5cb354 Radius Radius false 0 3235 9601 41 20 3257 9611 1 1 {0} 0 Rectangle defined by P, A and B e29cb3aa-a7ca-4d17-ad50-0ab6c7208efd Rectangle Rectangle false 0 3306 9541 51 40 3333 9561 Length of rectangle curve 8483333f-27ca-48da-a2e0-d09035ba4bf9 Length Length false 0 3306 9581 51 40 3333 9601 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true 8054dab8-ba00-4865-aba6-d62643f5c374 Deconstuct Rectangle Deconstuct Rectangle 3225 9456 142 64 3293 9488 Rectangle to deconstruct b217f484-1fc1-4362-97e6-f64c6540e8d3 Rectangle Rectangle false e29cb3aa-a7ca-4d17-ad50-0ab6c7208efd 1 3227 9458 51 60 3254 9488 Base plane of rectangle a8bf20ad-eece-47ab-8014-92cec9444699 Base Plane Base Plane false 0 3308 9458 57 20 3338 9468 Size interval along base plane X axis ea727ea2-7915-4659-918a-519045370508 X Interval X Interval false 0 3308 9478 57 20 3338 9488 Size interval along base plane Y axis a7098e89-7eb6-4849-a975-7649e1c718d7 Y Interval Y Interval false 0 3308 9498 57 20 3338 9508 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true 7810f986-6d49-4017-a9c8-6d62a5e28af6 Deconstruct Domain Deconstruct Domain 3244 9329 104 44 3302 9351 Base domain 4cf2f1e7-60ed-4e4e-8484-ee187d7254bc Domain Domain false a7098e89-7eb6-4849-a975-7649e1c718d7 1 3246 9331 41 40 3268 9351 Start of domain cfc707e1-fb19-4645-b47a-be20d5541996 Start Start false 0 3317 9331 29 20 3333 9341 End of domain 8cbecbaa-a916-43b7-8f3e-74429cfbc1e3 End End false 0 3317 9351 29 20 3333 9361 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true 930f3d63-3833-416d-b6b8-c52c5c8ad2a3 Deconstruct Domain Deconstruct Domain 3244 9391 104 44 3302 9413 Base domain 4d64d7c0-704a-49ea-a418-c45337c01f72 Domain Domain false ea727ea2-7915-4659-918a-519045370508 1 3246 9393 41 40 3268 9413 Start of domain 78aee327-8269-48f4-b511-852990d37069 Start Start false 0 3317 9393 29 20 3333 9403 End of domain 49f5104f-5deb-4f91-879f-01c9f892ff25 End End false 0 3317 9413 29 20 3333 9423 290f418a-65ee-406a-a9d0-35699815b512 Scale NU Scale an object with non-uniform factors. true 388908ed-2b06-4fca-9122-445447916565 Scale NU Scale NU 3209 9194 154 104 3293 9246 Base geometry 51616615-bd72-4841-b87b-f1ee188a115f Geometry Geometry true 9e8a3a26-c196-4a8e-8854-2e1303fa393c 1 3211 9196 67 20 3254 9206 Base plane a4b61279-6b13-4434-bffa-0ce34b0ed10d Plane Plane false 0 3211 9216 67 20 3254 9226 1 1 {0} 0 0 0 1 0 0 0 1 0 Scaling factor in {x} direction d3f46b4f-b22f-4d60-97d6-18b964d98b3d 1/X Scale X Scale X false 49f5104f-5deb-4f91-879f-01c9f892ff25 1 3211 9236 67 20 3254 9246 1 1 {0} 1 Scaling factor in {y} direction cef63be5-44fa-4f83-b3ef-9b4534759bdc 1/X Scale Y Scale Y false 8cbecbaa-a916-43b7-8f3e-74429cfbc1e3 1 3211 9256 67 20 3254 9266 1 1 {0} 1 Scaling factor in {z} direction d4066134-43b6-493b-a641-de935e9079de Scale Z Scale Z false 0 3211 9276 67 20 3254 9286 1 1 {0} 1 Scaled geometry 4b1bb837-b044-4eaa-9877-25583c26adba Geometry Geometry false 0 3308 9196 53 50 3336 9221 Transformation data 8571b2f5-43a8-4fa7-be2a-129942ea7664 Transform Transform false 0 3308 9246 53 50 3336 9271 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 814a02f9-581f-4e49-8bf6-3bf7302aebc5 c839cd89-8621-40a9-9be8-12b4c18d2007 8054dab8-ba00-4865-aba6-d62643f5c374 7810f986-6d49-4017-a9c8-6d62a5e28af6 930f3d63-3833-416d-b6b8-c52c5c8ad2a3 388908ed-2b06-4fca-9122-445447916565 3a9461d7-facc-4583-996d-d7d4e94813c3 f32e469d-5411-4757-a641-2639d4f5739a 8 2f0d796f-cc5c-4432-9d09-1e4402880507 Group d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 3a9461d7-facc-4583-996d-d7d4e94813c3 Curve Curve false 9e8a3a26-c196-4a8e-8854-2e1303fa393c 1 3273 9708 50 24 3298.409 9720.144 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true f32e469d-5411-4757-a641-2639d4f5739a Curve Curve false 4b1bb837-b044-4eaa-9877-25583c26adba 1 3252 9129 50 24 3277.651 9141.914 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 288f5162-987e-4cef-b3b6-6aacb9ca7b1c Panel false 0 0 0.0013733120705119695 2773 12653 270 20 0 0 0 2773.709 12653.13 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values bead7499-c245-46b1-b24d-388fd63224ee Panel false 0 0 0.0000710748925500000001421 2773 12632 270 20 0 0 0 2773.709 12632.48 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e858f749-079f-4103-af42-3ad8b3c8087d Panel false 0 0 0.0013733120705119695 2773 12687 270 20 0 0 0 2773.709 12687.9 255;255;255;255 false false true false false true 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 4b201f39-b0bc-4219-a4e7-450d7470f118 Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 2867 8912 50 24 2892.659 8924.342 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 59a00a81-4b6c-4039-a191-eefacc5e6e0e Relay false 63c92217-d37f-4363-846e-d0e6c9bbeff9 1 2859 11519 40 16 2879 11527 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object b05b142f-4c7d-4ff8-8a0d-e4cc0cf78eb2 Relay false 01865622-a23d-4cbb-8415-2e750fb3994b 1 2869 11296 40 16 2889 11304 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 97169a5c-4e5b-4b8b-88ff-cb094938af11 Scale Scale 2818 11332 154 64 2902 11364 Base geometry 0f872278-1ab8-4ef6-ac37-b839281a9d4d Geometry Geometry true 120b5798-7e93-4f8d-a27d-8c208f89e6e7 1 2820 11334 67 20 2863 11344 Center of scaling d90ea1a8-7a12-4940-9d5f-7f77d1ed0c20 Center Center false 0 2820 11354 67 20 2863 11364 1 1 {0} 0 0 0 Scaling factor 37773065-9f8d-4741-84be-9dfb031cf33d 2^X Factor Factor false 916c0763-c6f9-41e1-a247-a9935450203a 1 2820 11374 67 20 2863 11384 1 1 {0} 0.5 Scaled geometry 01865622-a23d-4cbb-8415-2e750fb3994b Geometry Geometry false 0 2917 11334 53 30 2945 11349 Transformation data 90f87fe3-5646-43a3-8067-c36fc01b17cc Transform Transform false 0 2917 11364 53 30 2945 11379 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 916c0763-c6f9-41e1-a247-a9935450203a Digit Scroller false 0 12 7 0.00000 2765 11420 250 20 2765.691 11420.19 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 97169a5c-4e5b-4b8b-88ff-cb094938af11 916c0763-c6f9-41e1-a247-a9935450203a 2 9cd7c784-9711-43cc-9f95-327b458a1a47 Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true 930e1928-ff32-4623-a204-dbf6553b9ace Expression 2863 12920 79 44 2905 12942 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 13a7ab7c-aa1b-4d68-9510-29263815e578 Variable X X true 841bc79c-9937-423d-9430-76e4ebfeb004 1 2865 12922 14 20 2873.5 12932 Expression variable 218c1d9e-67ed-430d-ac87-337c0904675a Variable O O true 0f7fe3af-0625-4ea2-86cc-301fc60faa51 1 2865 12942 14 20 2873.5 12952 Result of expression c49582fd-259a-4b4b-aac3-ff1ee9763cfb Result false 0 2931 12922 9 40 2937 12942 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 357984e9-07d0-47d5-bd53-1370d57f58af cf825612-496f-4821-a060-32d498929978 40a7806f-4c7b-4563-879e-89409bce4ef4 c0a08530-53a6-442d-ad4f-464e9427d0a4 bf2ac55c-385c-4c6d-86e8-213bd1ba6066 d7c3ad86-c94e-4259-87fc-5bd033cf3022 eaa5c098-f7dd-4527-9c0c-09e062a36c27 5a116c03-7b29-4cd7-acc7-0f3b65d433c8 2d7fc846-37ba-46ee-b7b2-2d9ce679e10b 7be1de6d-4099-4390-89b1-36b6971b74cd d0fd9224-6131-4bf4-b87c-38f421c7eb9b 01ecd1cf-cf8f-42c1-aaae-520eaa3d299a f3c622b3-a086-4c07-93a2-a707bfffeb89 6e70809d-a15c-4679-b924-e6684569dc93 c224342c-801f-4459-9224-44879ddf539f 397453ad-d11d-42cc-870f-39a716fd5c56 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 2d7fc846-37ba-46ee-b7b2-2d9ce679e10b 1 7be1de6d-4099-4390-89b1-36b6971b74cd Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ae5b7e4a-1487-4326-8be1-d0dd4205e7d4 1 d0fd9224-6131-4bf4-b87c-38f421c7eb9b Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f3c622b3-a086-4c07-93a2-a707bfffeb89 6e70809d-a15c-4679-b924-e6684569dc93 c224342c-801f-4459-9224-44879ddf539f 397453ad-d11d-42cc-870f-39a716fd5c56 2518abde-6525-444a-9e84-6bac6a5882c6 0326c0d8-acda-48f2-bcd5-dd44a9093472 ab7a7616-c46b-47bb-ae5a-f8c00065e6df bade2dc2-5919-4723-bde3-ebdd9bc0713a 7732fd6b-bd62-4a13-85b1-335385eebd9d cc518380-b3c5-4e15-b7d1-1f9222b726c1 d0fd9224-6131-4bf4-b87c-38f421c7eb9b 7be1de6d-4099-4390-89b1-36b6971b74cd 764b73d1-9f00-406d-b582-3e039098b1dd a5b20955-e9d2-4861-9b22-ec91cd61b1f9 03bb9ca6-76d4-43b8-9d81-8fb62e3faffd aa551f67-344e-49d0-8c74-be78e2d0fe04 0503038e-a06a-4699-9a40-2b74c5e39009 7522b52d-f670-48c2-91d4-f06965855205 675924a5-f92c-48d7-83e2-3c58b8d6ec02 88626db3-5a1c-4d34-a75d-9c38c845ef23 20 01ecd1cf-cf8f-42c1-aaae-520eaa3d299a Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true f3c622b3-a086-4c07-93a2-a707bfffeb89 Duplicate Data Duplicate Data 4298 14176 104 64 4357 14208 1 Data to duplicate 14343319-cd02-4669-a49f-f73ffeb2bb4e Data Data false 02789ff3-d94b-4ea1-80c2-2772980cb58e 1 4300 14178 42 20 4322.5 14188 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 28895895-62f0-4b0d-af8d-ab8b2592f9cd Number Number false b858e84c-e354-43a3-8a52-1a2b2e8195ae 1 4300 14198 42 20 4322.5 14208 1 1 {0} 500 Retain list order aec13b7b-053a-40b6-b550-536c26a6a70b Order Order false 0 4300 14218 42 20 4322.5 14228 1 1 {0} true 1 Duplicated data d99df55a-1c8d-40da-bccc-7dad57de9fb0 Data Data false 0 4372 14178 28 60 4387.5 14208 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 6e70809d-a15c-4679-b924-e6684569dc93 DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 4284 12248 116 44 4345 12270 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 76999fdd-a81f-4946-abc6-f09c4a2a8313 Forward Forward true 1 true d99df55a-1c8d-40da-bccc-7dad57de9fb0 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 4286 12250 44 20 4309.5 12260 1 false Script Variable Left 29e54bf6-96e2-4879-8dfe-1f3d551cb8c5 Left Left true 1 true add59c49-60fd-466e-8329-83e0f790e31d 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 4286 12270 44 20 4309.5 12280 Print, Reflect and Error streams f663f938-b589-4f5a-829d-1ccb35528ac4 Output Output false 0 4360 12250 38 20 4380.5 12260 Output parameter Points 31c6e3ed-8058-4483-b952-0f2d075ed585 Points Points false 0 4360 12270 38 20 4380.5 12280 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 397453ad-d11d-42cc-870f-39a716fd5c56 Series Series 4295 13505 101 64 4345 13537 First number in the series add8c1e8-fb04-47dc-b246-02137afd684e Start Start false 0 4297 13507 33 20 4315 13517 1 1 {0} 0 Step size for each successive number 95419e6e-036c-4c31-82a8-709fb060a427 Step Step false cdb54c3a-c1fe-47a5-b525-f5ed5bd3e9f9 1 4297 13527 33 20 4315 13537 1 1 {0} 1 Number of values in the series df9ee48d-319a-4a97-a9d8-6ec1af799c58 Count Count false b858e84c-e354-43a3-8a52-1a2b2e8195ae 1 4297 13547 33 20 4315 13557 1 Series of numbers 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 Series Series false 0 4360 13507 34 60 4378.5 13537 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 2518abde-6525-444a-9e84-6bac6a5882c6 Number Slider false 0 4280 14407 150 20 4280.199 14407.03 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 0326c0d8-acda-48f2-bcd5-dd44a9093472 Radians Radians 4282 13718 120 28 4343 13732 Angle in degrees e7e27e80-c658-4fcc-9307-b068b2b384e4 Degrees Degrees false dc3d55d3-969a-4cf8-b13b-b7109ec1f5c7 1 4284 13720 44 24 4307.5 13732 Angle in radians 11fa45ca-88cf-4812-aee3-063f9be7f594 Radians Radians false 0 4358 13720 42 24 4380.5 13732 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers ab7a7616-c46b-47bb-ae5a-f8c00065e6df Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 4219 14046 251 20 4219.173 14046.87 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true cc518380-b3c5-4e15-b7d1-1f9222b726c1 Interpolate (t) Interpolate (t) 4283 11506 144 84 4369 11548 1 Interpolation points a8c577b2-7068-49df-b6b6-00f6b99beef7 Vertices Vertices false 72240493-81f6-452f-95bf-65412ec6da40 1 4285 11508 69 20 4321 11518 Tangent at start of curve 9ed96564-3f60-422b-ab1f-e1fdb6b4359e Tangent Start Tangent Start false 0 4285 11528 69 20 4321 11538 1 1 {0} 0.0625 0 0 Tangent at end of curve 60ee1ef5-c1ba-4111-b8f6-a0158bdb7595 Tangent End Tangent End false 0 4285 11548 69 20 4321 11558 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 4268a259-be56-469b-95d2-37f3e4d28ef3 KnotStyle KnotStyle false 0 4285 11568 69 20 4321 11578 1 1 {0} 2 Resulting nurbs curve 863776ad-d527-4591-8dd4-bc625085f22d Curve Curve false 0 4384 11508 41 26 4406 11521.33 Curve length 78c1753b-10e3-46ec-8da8-90ccd5672ef4 Length Length false 0 4384 11534 41 27 4406 11548 Curve domain 05bc9511-f012-404c-8dfb-a23edd105dff Domain Domain false 0 4384 11561 41 27 4406 11574.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f3c622b3-a086-4c07-93a2-a707bfffeb89 6e70809d-a15c-4679-b924-e6684569dc93 c224342c-801f-4459-9224-44879ddf539f 397453ad-d11d-42cc-870f-39a716fd5c56 2518abde-6525-444a-9e84-6bac6a5882c6 0326c0d8-acda-48f2-bcd5-dd44a9093472 ab7a7616-c46b-47bb-ae5a-f8c00065e6df bade2dc2-5919-4723-bde3-ebdd9bc0713a 274e2ba4-a290-4d43-a98e-6d03ec5eed7f f9d75b4a-e834-4f23-9f97-3ee0281841ee 3031dd95-64d2-4192-879f-cabe57cc464d e02fd8ec-0d7c-46b2-a3f4-d5df4817f722 b76e1c16-6cff-4ccb-8b5a-ff60c32fb01a f7481ad9-51e1-4172-944b-f2589d39af07 2bfa03b7-1869-4350-8b7f-3dd5b338d013 42ac9166-e290-4933-97c7-83ef0baf3f86 16 7732fd6b-bd62-4a13-85b1-335385eebd9d Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 44749250-6b73-416e-860a-b02fc977fb2c Evaluate Length Evaluate Length 4270 11315 144 64 4344 11347 Curve to evaluate fec06318-2e33-4c0e-83d7-b9eb819b3690 Curve Curve false 6b5dde33-2b73-4932-aec6-21f0a310d499 1 4272 11317 57 20 4302 11327 Length factor for curve evaluation e485ef61-f73f-4742-bd60-908a0367a2ff Length Length false 0 4272 11337 57 20 4302 11347 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 6b896b0e-eb30-4d08-80ad-10ea01bd0d71 Normalized Normalized false 0 4272 11357 57 20 4302 11367 1 1 {0} true Point at the specified length d1f63c62-1fc6-43f4-984e-5a3f31d7fa82 Point Point false 0 4359 11317 53 20 4387 11327 Tangent vector at the specified length 01954e4e-3e53-4331-9299-7aa2455ff1b9 Tangent Tangent false 0 4359 11337 53 20 4387 11347 Curve parameter at the specified length 3e21c90e-9910-46af-b93a-e71336fbe876 Parameter Parameter false 0 4359 11357 53 20 4387 11367 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true f661b51e-e4dc-43fe-bad3-489f23f1f015 Mirror Mirror 4273 11253 138 44 4341 11275 Base geometry 67a1874d-f5fa-466e-adca-75b0d5932a0c Geometry Geometry true 6b5dde33-2b73-4932-aec6-21f0a310d499 1 4275 11255 51 20 4302 11265 Mirror plane eb5e4124-5ed1-4651-97dd-0af329c36bff Plane Plane false c418f22a-e379-47bb-8a32-905852302bd2 1 4275 11275 51 20 4302 11285 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 35b2b835-7b88-4a11-89fe-e0be7e201791 Geometry Geometry false 0 4356 11255 53 20 4384 11265 Transformation data 043acb07-f1ac-40c9-a370-8fc83ee3e455 Transform Transform false 0 4356 11275 53 20 4384 11285 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true f5774bb8-b16f-43a6-b6f9-3c1f5b5eb901 Line SDL Line SDL 4289 11399 106 64 4353 11431 Line start point 8244e541-2ced-4a4e-b309-84d06ccb9adf Start Start false d1f63c62-1fc6-43f4-984e-5a3f31d7fa82 1 4291 11401 47 20 4316 11411 Line tangent (direction) b4d7535f-5cca-40e2-8162-2476e2d34649 Direction Direction false 01954e4e-3e53-4331-9299-7aa2455ff1b9 1 4291 11421 47 20 4316 11431 1 1 {0} 0 0 1 Line length ae4d63f9-8730-4a19-b61f-a73e961a3b7b Length Length false 0 4291 11441 47 20 4316 11451 1 1 {0} 1 Line segment c418f22a-e379-47bb-8a32-905852302bd2 Line Line false 0 4368 11401 25 60 4382 11431 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 07b4f452-14fe-4d9b-8911-2846ce8a2353 Join Curves Join Curves 4283 11191 118 44 4346 11213 1 Curves to join 12edb447-65b3-4983-a8d7-0e23a1f80f44 Curves Curves false 6b5dde33-2b73-4932-aec6-21f0a310d499 35b2b835-7b88-4a11-89fe-e0be7e201791 2 4285 11193 46 20 4309.5 11203 Preserve direction of input curves c4239273-9dcc-4aee-bf3e-82b9decc9ccb Preserve Preserve false 0 4285 11213 46 20 4309.5 11223 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 8aa2612b-f8eb-4f73-913a-215914b33537 Curves Curves false 0 4361 11193 38 40 4381.5 11213 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 6fee8773-befa-4289-9a03-49e8c8b7ab59 Evaluate Length Evaluate Length 4270 11107 144 64 4344 11139 Curve to evaluate c50ca3c0-7a8f-49f6-8da7-2550b01d289d Curve Curve false 8aa2612b-f8eb-4f73-913a-215914b33537 1 4272 11109 57 20 4302 11119 Length factor for curve evaluation 6e69ffe7-67c2-405e-b780-8e4f450dd06a Length Length false 0 4272 11129 57 20 4302 11139 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 24f5cbd6-94c2-434b-b482-4d56ad82739a Normalized Normalized false 0 4272 11149 57 20 4302 11159 1 1 {0} true Point at the specified length 700a6ac8-0642-4a1a-a01d-19696e376980 Point Point false 0 4359 11109 53 20 4387 11119 Tangent vector at the specified length ddd1b345-57f7-4a7e-a8a9-c3546c397256 Tangent Tangent false 0 4359 11129 53 20 4387 11139 Curve parameter at the specified length 52221b13-3da1-40ba-9a40-9f25b00dd057 Parameter Parameter false 0 4359 11149 53 20 4387 11159 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 9c0a4513-44a8-42f6-bd2e-6973fda8c833 Rotate Rotate 4273 11024 138 64 4341 11056 Base geometry 8780100c-743c-4e7a-8245-bafbd0b4f697 Geometry Geometry true 8aa2612b-f8eb-4f73-913a-215914b33537 1 4275 11026 51 20 4302 11036 Rotation angle in radians 2c462e21-a186-42cf-ba36-b46044446373 Angle Angle false 0 false 4275 11046 51 20 4302 11056 1 1 {0} 3.1415926535897931 Rotation plane 432af13a-11c9-45c9-b67c-e3f4ec9873df Plane Plane false 700a6ac8-0642-4a1a-a01d-19696e376980 1 4275 11066 51 20 4302 11076 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry a90581b3-9723-4e63-9246-27556bd497d1 Geometry Geometry false 0 4356 11026 53 30 4384 11041 Transformation data 612c4865-2ad8-4b55-99b5-f1d581b2b45c Transform Transform false 0 4356 11056 53 30 4384 11071 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true aff11164-81a4-4b6a-b426-3c37a3aba6f8 Join Curves Join Curves 4283 10961 118 44 4346 10983 1 Curves to join d45068ea-57fe-48ef-94a4-a548100c51a1 Curves Curves false 8aa2612b-f8eb-4f73-913a-215914b33537 a90581b3-9723-4e63-9246-27556bd497d1 2 4285 10963 46 20 4309.5 10973 Preserve direction of input curves 5b936b77-0fe1-4437-b7f4-74a4252402c6 Preserve Preserve false 0 4285 10983 46 20 4309.5 10993 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 6af0e887-0681-4409-af28-8215d357f8c9 Curves Curves false 0 4361 10963 38 40 4381.5 10983 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects cc518380-b3c5-4e15-b7d1-1f9222b726c1 44749250-6b73-416e-860a-b02fc977fb2c f661b51e-e4dc-43fe-bad3-489f23f1f015 f5774bb8-b16f-43a6-b6f9-3c1f5b5eb901 07b4f452-14fe-4d9b-8911-2846ce8a2353 6fee8773-befa-4289-9a03-49e8c8b7ab59 9c0a4513-44a8-42f6-bd2e-6973fda8c833 aff11164-81a4-4b6a-b426-3c37a3aba6f8 bc0743aa-659e-45d5-9bea-0db4a089f73c 515aa4ed-7d0b-41c2-8a15-e458b1f9659f 1735ea28-d9c2-460e-8036-e182399799eb 72240493-81f6-452f-95bf-65412ec6da40 abd2599c-b66f-4796-b135-505f6671f818 c2e639ee-1c56-4725-9c22-3c83610edc53 7b9d6ded-0c99-487c-9351-2a3cca1c2110 15 ae5b7e4a-1487-4326-8be1-d0dd4205e7d4 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 5a087567-6dc6-4ef0-a76f-11cea61ca2cc Panel false 0 373efc7b-7ef0-439a-9a16-1f7258fc5e55 1 Double click to edit panel content… 4273 13596 145 20 0 0 0 4273.201 13596.1 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true bc0743aa-659e-45d5-9bea-0db4a089f73c Curve Curve false 6af0e887-0681-4409-af28-8215d357f8c9 1 4321 10923 50 24 4346.781 10935.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects bc0743aa-659e-45d5-9bea-0db4a089f73c 1 7e40e0e9-af69-4c40-b8e2-54fdb5ed7cdf Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f9d75b4a-e834-4f23-9f97-3ee0281841ee Panel false 0 0 0.35721403168191375/4/4 4126 13801 439 20 0 0 0 4126.762 13801.42 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 7973db4b-dfc0-471b-8bf6-36d4d73ba79b Evaluate Length Evaluate Length 4270 10835 144 64 4344 10867 Curve to evaluate f934131b-4cbc-4be0-b49b-1c98053fab08 Curve Curve false 6af0e887-0681-4409-af28-8215d357f8c9 1 4272 10837 57 20 4302 10847 Length factor for curve evaluation 8dc9a449-2286-4de8-94a1-2bb90edf3fa2 Length Length false 0 4272 10857 57 20 4302 10867 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 29e76ccb-9dbb-4084-b741-17af9039dd65 Normalized Normalized false 0 4272 10877 57 20 4302 10887 1 1 {0} true Point at the specified length 0ba0b4b2-a742-4786-b8e9-5e1a821df95f Point Point false 0 4359 10837 53 20 4387 10847 Tangent vector at the specified length a9ce64a4-5e56-4d68-adbc-28ee24824063 Tangent Tangent false 0 4359 10857 53 20 4387 10867 Curve parameter at the specified length dcf61bb7-e585-4148-92ad-183e091173bc Parameter Parameter false 0 4359 10877 53 20 4387 10887 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5753fe7b-bb38-45ab-951e-b95292caba06 Expression Expression 4245 10613 194 28 4345 10627 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 8e890fc1-ea1d-4d75-8635-314dfe731cf8 Variable O O true b8c70b09-8d3b-47ed-bff9-2af86f17106d 1 4247 10615 14 24 4255.5 10627 Result of expression d132c280-f40a-41cd-bbe6-9e3c6e7ec570 Result false 0 4428 10615 9 24 4434 10627 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 9fd26e2e-159b-45d3-a3aa-eb9c6db66eee Deconstruct Deconstruct 4276 10747 132 64 4323 10779 Input point 7452be01-2448-4d50-b155-605eb4d60ded Point Point false 0ba0b4b2-a742-4786-b8e9-5e1a821df95f 1 4278 10749 30 60 4294.5 10779 Point {x} component b8c70b09-8d3b-47ed-bff9-2af86f17106d X component X component false 0 4338 10749 68 20 4373.5 10759 Point {y} component 2aaa7234-feb7-4e51-9fc6-859d5ff39723 Y component Y component false 0 4338 10769 68 20 4373.5 10779 Point {z} component 2b443961-cdcf-4f46-8cd7-fa188559a05e Z component Z component false 0 4338 10789 68 20 4373.5 10799 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6559e3c8-fde8-4749-b27b-98e461438f55 Panel false 0 d132c280-f40a-41cd-bbe6-9e3c6e7ec570 1 Double click to edit panel content… 4265 10589 160 20 0 0 0 4265.551 10589.25 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true ed38ed7d-e0f5-462b-b8a3-49c29637923a Expression Expression 4245 10527 194 28 4345 10541 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 0e24a867-c3d2-4745-a8c7-bb7d7c43f557 Variable O O true 2aaa7234-feb7-4e51-9fc6-859d5ff39723 1 4247 10529 14 24 4255.5 10541 Result of expression b49d97f3-eba6-4ff1-b36c-c256f7f1f1e9 Result false 0 4428 10529 9 24 4434 10541 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values da5cd8a7-461a-49a2-8c10-1a3debd51b8f Panel false 0 b49d97f3-eba6-4ff1-b36c-c256f7f1f1e9 1 Double click to edit panel content… 4265 10500 160 20 0 0 0 4265.551 10500.82 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 2878bc0e-f4f4-4aab-9925-622ba3ba7071 Division Division 4301 10425 82 44 4332 10447 Item to divide (dividend) e713da62-9c9a-46af-9232-ea40d7a23a5b A A false 6559e3c8-fde8-4749-b27b-98e461438f55 1 4303 10427 14 20 4311.5 10437 Item to divide with (divisor) 81d3aa96-ab40-4301-bd50-51ba63f6194c B B false da5cd8a7-461a-49a2-8c10-1a3debd51b8f 1 4303 10447 14 20 4311.5 10457 The result of the Division 6986f205-ea52-479e-865c-62962fe6009d Result Result false 0 4347 10427 34 40 4365.5 10447 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b8997139-20b8-4636-9c2f-bdd73da0dd59 Panel false 0 373efc7b-7ef0-439a-9a16-1f7258fc5e55 1 Double click to edit panel content… 4265 10353 160 20 0 0 0 4265.79 10353.31 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 8a3128cb-9869-4bc0-884d-c17fe7f9ee09 Expression Expression 4245 10378 194 28 4345 10392 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3744d691-30cf-4977-95e3-b14280bf3a09 Variable O O true 6986f205-ea52-479e-865c-62962fe6009d 1 4247 10380 14 24 4255.5 10392 Result of expression d4fef3ac-e25b-46fa-adfa-fff3236e87a8 Result false 0 4428 10380 9 24 4434 10392 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 373efc7b-7ef0-439a-9a16-1f7258fc5e55 Relay false d4fef3ac-e25b-46fa-adfa-fff3236e87a8 1 4322 10303 40 16 4342 10311 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true d5da0918-289c-48b2-8b9a-1c914601ede0 Addition Addition 4301 10240 82 44 4332 10262 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 1bb0c28a-3640-4d24-9e6e-9a373ae061ad A A true da5cd8a7-461a-49a2-8c10-1a3debd51b8f 1 4303 10242 14 20 4311.5 10252 Second item for addition 64c08142-a331-48d6-93f2-06524b0d3d6c B B true 6559e3c8-fde8-4749-b27b-98e461438f55 1 4303 10262 14 20 4311.5 10272 Result of addition 03d3bb06-4ebd-452f-ba3c-3597173f8558 Result Result false 0 4347 10242 34 40 4365.5 10262 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true ae54b2b4-eb20-470c-a4f7-1a494adc928b Division Division 4301 10090 82 44 4332 10112 Item to divide (dividend) 5192dc74-838f-4ef3-941f-1ed552c69417 A A false 57ebdb18-79ac-4540-a02c-aff0d33ff282 1 4303 10092 14 20 4311.5 10102 Item to divide with (divisor) 47d6323d-c97a-4d5d-a995-c76014e1f2e2 B B false 0 4303 10112 14 20 4311.5 10122 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 0f64f4cf-69cf-4775-a4f8-646ded844be4 Result Result false 0 4347 10092 34 40 4365.5 10112 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true dcc2bd9f-6534-44f7-95b6-bc46f92222ab Expression Expression 4245 10042 194 28 4345 10056 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 09061244-8eec-4292-99df-ade1dbddccb1 Variable O O true 0f64f4cf-69cf-4775-a4f8-646ded844be4 1 4247 10044 14 24 4255.5 10056 Result of expression b4496208-9ca2-400c-9626-c13615227878 Result false 0 4428 10044 9 24 4434 10056 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 36451f6a-9e35-4841-85e1-09e88eb0bd66 Panel false 0 b4496208-9ca2-400c-9626-c13615227878 1 Double click to edit panel content… 4265 10017 160 20 0 0 0 4265.551 10017.17 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 57ebdb18-79ac-4540-a02c-aff0d33ff282 Panel false 0 85d513ae-5bf8-49bd-ba24-122bdc1e4747 1 Double click to edit panel content… 4265 10169 160 20 0 0 0 4265.551 10169.08 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 1afe9178-133d-445c-a7bd-86fe87bf0dd8 Expression Expression 4245 10193 194 28 4345 10207 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3992a2fa-80ee-4b38-898a-8aa9b9ae1cf1 Variable O O true 03d3bb06-4ebd-452f-ba3c-3597173f8558 1 4247 10195 14 24 4255.5 10207 Result of expression 85d513ae-5bf8-49bd-ba24-122bdc1e4747 Result false 0 4428 10195 9 24 4434 10207 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true fdfcd0ad-d760-4e1d-be39-1c77b926f7b9 Scale Scale 4265 9919 154 64 4349 9951 Base geometry 601abc7f-6161-4682-a652-379136f24c2f Geometry Geometry true bc0743aa-659e-45d5-9bea-0db4a089f73c 1 4267 9921 67 20 4310 9931 Center of scaling 88498385-a7b2-4e57-b718-29bfa4987571 Center Center false 0 4267 9941 67 20 4310 9951 1 1 {0} 0 0 0 Scaling factor 9945e95b-f03f-47e5-81c8-fe07d0f73718 1/X Factor Factor false 36451f6a-9e35-4841-85e1-09e88eb0bd66 1 4267 9961 67 20 4310 9971 1 1 {0} 0.5 Scaled geometry 1fa87ae5-b607-4bb0-a9a4-be0e3a79e3cf Geometry Geometry false 0 4364 9921 53 30 4392 9936 Transformation data 1b2d8a2f-4c43-40e0-a3a2-9b6120b29ff4 Transform Transform false 0 4364 9951 53 30 4392 9966 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 63605c91-1a92-45da-9fec-1773e7cb4a87 Curve Curve false 1fa87ae5-b607-4bb0-a9a4-be0e3a79e3cf 1 4319 9322 50 24 4344.531 9334.673 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true a5bf279a-43c6-4872-8c06-fa8d70488afc Expression Expression 4245 10700 194 28 4345 10714 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e2e7b1c6-301d-49bc-852f-99da0457658a Variable O O true 2b443961-cdcf-4f46-8cd7-fa188559a05e 1 4247 10702 14 24 4255.5 10714 Result of expression 7fc7069a-9d35-4dec-95e2-b1e61602cb83 Result false 0 4428 10702 9 24 4434 10714 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2ab020dd-779c-4643-9971-14caeca422df Panel false 0 7fc7069a-9d35-4dec-95e2-b1e61602cb83 1 Double click to edit panel content… 4266 10675 160 20 0 0 0 4266.421 10675.02 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 2dd7f30c-898d-4362-85f0-9bbdb136696d Evaluate Length Evaluate Length 4270 9709 144 64 4344 9741 Curve to evaluate 09dab483-8251-48ec-a1f5-aabd1271b9a4 Curve Curve false 1fa87ae5-b607-4bb0-a9a4-be0e3a79e3cf 1 4272 9711 57 20 4302 9721 Length factor for curve evaluation b816c4b6-466d-4bc7-89cb-2e2799e834f3 Length Length false 0 4272 9731 57 20 4302 9741 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 1e8da7ec-9d0a-4043-8c05-2b75ecbb5e9c Normalized Normalized false 0 4272 9751 57 20 4302 9761 1 1 {0} true Point at the specified length 74ece60c-1962-4112-992d-ea664917d145 Point Point false 0 4359 9711 53 20 4387 9721 Tangent vector at the specified length 44c55250-9efd-4a59-8e8f-d45f7b3f14fd Tangent Tangent false 0 4359 9731 53 20 4387 9741 Curve parameter at the specified length 0a9155ea-57af-4445-ae62-22e022ec50e8 Parameter Parameter false 0 4359 9751 53 20 4387 9761 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 53074449-1825-4369-9713-d1fab997895f Expression Expression 4245 9492 194 28 4345 9506 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 040fce0c-91e8-49d3-9f1d-8e08eef2bc79 Variable O O true 9ca7f978-1031-4d21-b51c-5f7e91be7113 1 4247 9494 14 24 4255.5 9506 Result of expression c8add31d-7d2f-4cf6-8f75-08feddfa8a96 Result false 0 4428 9494 9 24 4434 9506 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 8f15d4df-a295-4c2a-a427-ed66de400789 Deconstruct Deconstruct 4276 9626 132 64 4323 9658 Input point d674362e-075a-4b40-908c-4d01e4bbee44 Point Point false 74ece60c-1962-4112-992d-ea664917d145 1 4278 9628 30 60 4294.5 9658 Point {x} component 9ca7f978-1031-4d21-b51c-5f7e91be7113 X component X component false 0 4338 9628 68 20 4373.5 9638 Point {y} component 0b5f77d7-b1bb-4988-a6b7-77025f58fa77 Y component Y component false 0 4338 9648 68 20 4373.5 9658 Point {z} component 8a834027-718b-4dbf-8138-a12160a8bcb1 Z component Z component false 0 4338 9668 68 20 4373.5 9678 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c8ee08ba-9303-4b8a-985e-59ebf8f261a8 Panel false 0 c8add31d-7d2f-4cf6-8f75-08feddfa8a96 1 Double click to edit panel content… 4265 9462 160 20 0 0 0 4265.801 9462.593 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true bc46a4e8-63e5-43b7-8292-10edf85be72e Expression Expression 4245 9406 194 28 4345 9420 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable dbbdc80c-45c3-416f-b688-b3cee69f1dbf Variable O O true 0b5f77d7-b1bb-4988-a6b7-77025f58fa77 1 4247 9408 14 24 4255.5 9420 Result of expression 7ec73af9-805c-42f4-9530-a66f2272162b Result false 0 4428 9408 9 24 4434 9420 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6f154ebb-c8eb-4572-8858-a3b020c29c72 Panel false 0 7ec73af9-805c-42f4-9530-a66f2272162b 1 Double click to edit panel content… 4265 9376 160 20 0 0 0 4265.811 9376.964 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true ff7c83e6-f826-4fb2-97e8-da374b6987b1 Expression Expression 4245 9578 194 28 4345 9592 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3946e9c9-23e1-476b-be89-02a4229cb57b Variable O O true 8a834027-718b-4dbf-8138-a12160a8bcb1 1 4247 9580 14 24 4255.5 9592 Result of expression f8d8054d-d42d-4488-bfc2-6c79b7d6f355 Result false 0 4428 9580 9 24 4434 9592 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 9fcc136a-c294-42e3-afde-ea1143063a36 Panel false 0 f8d8054d-d42d-4488-bfc2-6c79b7d6f355 1 Double click to edit panel content… 4265 9548 160 20 0 0 0 4265.551 9548.804 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3031dd95-64d2-4192-879f-cabe57cc464d Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 4159 13884 379 104 0 0 0 4159.018 13884.44 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 675924a5-f92c-48d7-83e2-3c58b8d6ec02 Panel false 0 8b578c9a-c85f-42ed-8563-e93e57644ab9 1 Double click to edit panel content… 4177 11912 337 276 0 0 0 4177.741 11912.59 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 88626db3-5a1c-4d34-a75d-9c38c845ef23 Expression Expression 4245 12200 194 28 4345 12214 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 051d7a2c-8c1b-4eaf-b60e-de25336068b7 Variable O O true 31c6e3ed-8058-4483-b952-0f2d075ed585 1 4247 12202 14 24 4255.5 12214 Result of expression 8b578c9a-c85f-42ed-8563-e93e57644ab9 Result false 0 4428 12202 9 24 4434 12214 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers b858e84c-e354-43a3-8a52-1a2b2e8195ae Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 4338 14367 50 24 4363.434 14379.87 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true 764b73d1-9f00-406d-b582-3e039098b1dd true Curve Graph Mapper Curve Graph Mapper 4173 12482 160 224 4241 12594 1 One or multiple graph curves to graph map values with f913820d-13fb-4726-8385-8676239fc0a0 true Curves Curves false 6ad5409f-9040-4b69-97ef-0d8c927d93a9 1 4175 12484 51 27 4202 12497.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 3f9f7a81-b3e4-4031-9efd-3f8ec72b68e8 true Rectangle Rectangle false 0ce1c710-a6cb-45ca-98bc-07397ae680cf 1 4175 12511 51 28 4202 12525.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 66e5a705-c325-427c-ad58-b6ec50f83252 true Values Values false 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 1 4175 12539 51 27 4202 12552.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) ea47884e-dbf1-4a63-8327-d3a79c54ec80 true X Axis X Axis true 0 4175 12566 51 28 4202 12580.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) a5aa49ca-a27a-4eb0-b567-957c28736508 true Y Axis Y Axis true 0 4175 12594 51 27 4202 12607.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 357b3e1c-8bc7-4310-b3bf-6e115203dd09 true Flip Flip false 0 4175 12621 51 28 4202 12635.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle fe3998b8-1fa4-4746-aeea-f92b879adfad true Snap Snap false 0 4175 12649 51 27 4202 12662.75 1 1 {0} true Size of the graph labels faeb2bd7-d5d7-459b-abb6-a8c871327ce9 true Text Size Text Size false 0 4175 12676 51 28 4202 12690.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis b76b10c6-a236-4dc9-a093-fe71594b08e6 true Mapped Mapped false 0 4256 12484 75 20 4295 12494 1 The graph curves inside the boundary of the graph 94f06bd7-be8b-4012-8a69-126e24ab82aa true Graph Curves Graph Curves false 0 4256 12504 75 20 4295 12514 1 The points on the graph curves where the X Axis input values intersected true a72054f4-f3a6-4794-8e35-717dd4a1a122 true Graph Points Graph Points false 0 4256 12524 75 20 4295 12534 1 The lines from the X Axis input values to the graph curves true 68037f6c-446e-45aa-9c40-3c2a5e492eeb true Value Lines Value Lines false 0 4256 12544 75 20 4295 12554 1 The points plotted on the X Axis which represent the input values true bf118017-592f-4ea4-8076-1efb9504bdfb true Value Points Value Points false 0 4256 12564 75 20 4295 12574 1 The lines from the graph curves to the Y Axis graph mapped values true 59453791-4306-47c7-b89f-b0f4e600a461 true Mapped Lines Mapped Lines false 0 4256 12584 75 20 4295 12594 1 The points mapped on the Y Axis which represent the graph mapped values true 567f6be0-adaa-492d-aacf-cef917ecee20 true Mapped Points Mapped Points false 0 4256 12604 75 20 4295 12614 The graph boundary background as a surface e3763d7a-6671-4d99-88ee-88fbf6337c25 true Boundary Boundary false 0 4256 12624 75 20 4295 12634 1 The graph labels as curve outlines eee71c2a-5954-408c-9ef3-eac48cb9401e true Labels Labels false 0 4256 12644 75 20 4295 12654 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds 6600e656-ce7d-42e5-a0b9-ac01ad584174 true Out Of Bounds Out Of Bounds false 0 4256 12664 75 20 4295 12674 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 0f64d5d6-712b-44e6-8bc1-3896d4a10f69 true Intersected Intersected false 0 4256 12684 75 20 4295 12694 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true a5b20955-e9d2-4861-9b22-ec91cd61b1f9 End Points End Points 4294 12907 96 44 4344 12929 Curve to evaluate e00b32f7-9bfb-4905-ba22-539dc77c8679 Curve Curve false 6ad5409f-9040-4b69-97ef-0d8c927d93a9 1 4296 12909 33 40 4314 12929 Curve start point 1238b2dc-91fc-4bf8-bfc8-315ec7d8857d Start Start false 0 4359 12909 29 20 4375 12919 Curve end point a8ceda9c-8920-45ec-a875-3ecf14d56bdf End End false 0 4359 12929 29 20 4375 12939 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 03bb9ca6-76d4-43b8-9d81-8fb62e3faffd Rectangle 2Pt Rectangle 2Pt 4279 12805 126 84 4337 12847 Rectangle base plane 6c593d5a-15c9-4f30-9f19-7550921a7928 Plane Plane false 0 4281 12807 41 20 4303 12817 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. f19f336c-13f1-4e46-87eb-07fa40c21ceb Point A Point A false 1238b2dc-91fc-4bf8-bfc8-315ec7d8857d 1 4281 12827 41 20 4303 12837 1 1 {0;0;0;0;0} 0 0 0 Second corner point. fd7acc6b-1cff-4d94-b936-db5b0dbec2b6 Point B Point B false a8ceda9c-8920-45ec-a875-3ecf14d56bdf 1 4281 12847 41 20 4303 12857 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius b1b185b1-7b88-423e-bb09-aad03d2ea6d7 Radius Radius false 0 4281 12867 41 20 4303 12877 1 1 {0} 0 Rectangle defined by P, A and B 0ce1c710-a6cb-45ca-98bc-07397ae680cf Rectangle Rectangle false 0 4352 12807 51 40 4379 12827 Length of rectangle curve 0006e875-b744-4291-b1f6-fa7244194984 Length Length false 0 4352 12847 51 40 4379 12867 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true aa551f67-344e-49d0-8c74-be78e2d0fe04 GraphMapper+ GraphMapper+ true 4333 12602 126 104 4400 12654 External curve as a graph 67da4800-a413-45fd-abcb-9d5ba3052621 Curve Curve false 6ad5409f-9040-4b69-97ef-0d8c927d93a9 1 4335 12604 50 20 4361.5 12614 Optional Rectangle boundary. If omitted the curve's would be landed 4788ef60-f872-4c23-a50b-898e95f928d5 Boundary Boundary true 0ce1c710-a6cb-45ca-98bc-07397ae680cf 1 4335 12624 50 20 4361.5 12634 1 List of input numbers b3d6a9b3-6919-4a2f-9c45-2a6b7e1a8e41 Numbers Numbers false 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 1 4335 12644 50 20 4361.5 12654 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 92ee7239-ffa4-42b3-9b6a-647c42896f6e Input Input true d85bd426-e5d9-4225-aec5-1f93c57ea102 1 4335 12664 50 20 4361.5 12674 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 7d51b8b0-acbe-4102-8d23-8491f8dc6518 Output Output true d85bd426-e5d9-4225-aec5-1f93c57ea102 1 4335 12684 50 20 4361.5 12694 1 Output Numbers 52a52012-94ed-4352-9843-c25568652aeb Number Number false 0 4415 12604 42 100 4437.5 12654 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 0503038e-a06a-4699-9a40-2b74c5e39009 Stream Filter Stream Filter 4308 12399 89 64 4353 12431 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 0deaf66c-86f0-4bc6-b0d9-5517ceb1d85c Gate Gate false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 4310 12401 28 20 4325.5 12411 1 1 {0} 0 2 Input stream at index 0 f244ebe1-83e9-431d-8c00-64cac7a42e76 false Stream 0 0 true b76b10c6-a236-4dc9-a093-fe71594b08e6 1 4310 12421 28 20 4325.5 12431 2 Input stream at index 1 250dace0-8eaf-463f-8856-3264b671f7d1 false Stream 1 1 true 52a52012-94ed-4352-9843-c25568652aeb 1 4310 12441 28 20 4325.5 12451 2 Filtered stream add59c49-60fd-466e-8329-83e0f790e31d false Stream S(1) false 0 4368 12401 27 60 4383 12431 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 7522b52d-f670-48c2-91d4-f06965855205 Number Slider false 0 4266 12310 150 20 4266.171 12310.19 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e02fd8ec-0d7c-46b2-a3f4-d5df4817f722 Panel false 1 bc68d9ff-0a73-48ce-bcc5-908d79eca709 1 Double click to edit panel content… 4256 13099 185 271 0 0 0 4256.241 13099.46 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 274e2ba4-a290-4d43-a98e-6d03ec5eed7f Bounds Bounds 4283 13046 122 28 4347 13060 1 Numbers to include in Bounds 16d026a5-74e5-49bb-a70d-6713cb17b64b Numbers Numbers false 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 1 4285 13048 47 24 4310 13060 Numeric Domain between the lowest and highest numbers in {N} d85bd426-e5d9-4225-aec5-1f93c57ea102 Domain Domain false 0 4362 13048 41 24 4384 13060 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b76e1c16-6cff-4ccb-8b5a-ff60c32fb01a Expression Expression 4245 13460 194 28 4345 13474 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7d2eb29b-982e-4000-b8ba-068fb301b77c Variable O O true 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 1 4247 13462 14 24 4255.5 13474 Result of expression bc68d9ff-0a73-48ce-bcc5-908d79eca709 Result false 0 4428 13462 9 24 4434 13474 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 3f1fbdb4-eb91-4b3a-a8df-0596dfc0a31b Expression Expression 4159 13671 367 28 4345 13685 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2242822a-0742-4abe-88ec-ae5573f9f205 Variable O O true 11fa45ca-88cf-4812-aee3-063f9be7f594 1 4161 13673 14 24 4169.5 13685 Result of expression 6fca8128-7167-4c8f-ad06-1de26badc388 Result false 0 4515 13673 9 24 4521 13685 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values cdb54c3a-c1fe-47a5-b525-f5ed5bd3e9f9 Panel false 0 6fca8128-7167-4c8f-ad06-1de26badc388 1 Double click to edit panel content… 4256 13636 179 20 0 0 0 4256.381 13636.32 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 63605c91-1a92-45da-9fec-1773e7cb4a87 1 7cf9c2b7-629e-4d4a-8851-b1749f393b38 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 48d28623-467f-490c-b1c3-34bfd421b511 Scale Scale 4265 9834 154 64 4349 9866 Base geometry 0341618d-be71-4cf5-b81f-56064952bf5a Geometry Geometry true 72240493-81f6-452f-95bf-65412ec6da40 1 4267 9836 67 20 4310 9846 Center of scaling bf4c3dcb-3032-4e05-853b-e3e23790fd78 Center Center false 0 4267 9856 67 20 4310 9866 1 1 {0} 0 0 0 Scaling factor 54b851f7-664e-4475-af90-8069c3611796 1/X Factor Factor false 36451f6a-9e35-4841-85e1-09e88eb0bd66 1 4267 9876 67 20 4310 9886 1 1 {0} 0.5 Scaled geometry 07a59e7b-d234-41eb-bb47-dce08b3f0802 Geometry Geometry false 0 4364 9836 53 30 4392 9851 Transformation data a62e3829-5bb5-4570-8481-576c63b1a441 Transform Transform false 0 4364 9866 53 30 4392 9881 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true a5db96b2-971c-49df-9a5e-d9d32338d413 Point Point false 07a59e7b-d234-41eb-bb47-dce08b3f0802 1 4320 9800 50 24 4345.531 9812.843 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 1ccb8a7e-2e79-44bd-955d-63367d09c98f true Mirror Mirror 4265 9210 138 44 4333 9232 Base geometry 77c5555b-507e-4449-9a3a-242152032ed4 true Geometry Geometry true 63605c91-1a92-45da-9fec-1773e7cb4a87 1 4267 9212 51 20 4294 9222 Mirror plane 40d32483-1581-4e0b-a9d3-adda034cecd0 true Plane Plane false 0 4267 9232 51 20 4294 9242 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 7aa05c63-0125-4ff7-820a-2b8e111771a9 true Geometry Geometry false 0 4348 9212 53 20 4376 9222 Transformation data 6507a64d-407f-4e65-8813-51a433f67160 true Transform Transform false 0 4348 9232 53 20 4376 9242 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true fe2bd48c-8bc7-431d-a3d5-89319eee1ab4 true Curve Curve false 25582ec0-bca6-4d7f-9a87-8d6f84e8b4f5 1 4314 9108 50 24 4339.781 9120.629 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6ad5409f-9040-4b69-97ef-0d8c927d93a9 Relay false 9996a7ea-0123-495f-b37b-5c57cfbf28ed 1 4324 12974 40 16 4344 12982 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 1565d029-b52e-4a0d-afc5-5be1ea6b6a9f Curve Curve false 3255d013-8457-40e7-99eb-8125533f5f6e 1 3890 13368 50 24 3915.28 13380.31 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 9996a7ea-0123-495f-b37b-5c57cfbf28ed Curve Curve false 483603c3-8060-4ed5-acce-c2b2339bdb65 1 3889 13078 50 24 3914.377 13090.46 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 07d6a167-2ddb-43da-8619-70a47cb5e9ea Scale Scale 3834 13113 154 64 3918 13145 Base geometry a259df23-3f23-4f78-949f-2fff8f9b3bc5 Geometry Geometry true 1565d029-b52e-4a0d-afc5-5be1ea6b6a9f 1 3836 13115 67 20 3879 13125 Center of scaling e7ad9a05-f04b-4d3c-9b90-68af484b46e6 Center Center false 0 3836 13135 67 20 3879 13145 1 1 {0} 0 0 0 Scaling factor a1e86edf-629d-4eb6-89d2-cf4c5144cf52 2^X Factor Factor false 5b5706ff-d5d7-458b-879b-2db4552c3e70 1 3836 13155 67 20 3879 13165 1 1 {0} 1 Scaled geometry 483603c3-8060-4ed5-acce-c2b2339bdb65 Geometry Geometry false 0 3933 13115 53 30 3961 13130 Transformation data 1cb64977-d885-4672-a422-e4c0c581ca90 Transform Transform false 0 3933 13145 53 30 3961 13160 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1565d029-b52e-4a0d-afc5-5be1ea6b6a9f 9996a7ea-0123-495f-b37b-5c57cfbf28ed 07d6a167-2ddb-43da-8619-70a47cb5e9ea 27899f96-8899-44d3-a06c-50d23c4c5623 a25e13b9-3e81-4a33-9443-7552163b2fbf 6abb6467-4717-433d-aad9-3f7d0611f1b9 ec403da9-8400-4058-a37d-088c53e519ef e30a09fd-815f-4c21-9939-bf2e9d98c53d 5b5706ff-d5d7-458b-879b-2db4552c3e70 bd44744c-be8e-4cf5-ae1e-a647bfc0304f 4fc4ca98-3632-4ea7-9a66-0d0a0417032f 11 dcc96cab-ca29-4917-b636-b17bc2f5c9e2 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true f6d60644-d11a-4362-89c4-d1805280f077 true Move Move 4265 9146 138 44 4333 9168 Base geometry e286f26f-899e-4e20-98e7-356a8a984547 true Geometry Geometry true 63605c91-1a92-45da-9fec-1773e7cb4a87 1 4267 9148 51 20 4294 9158 Translation vector 325e70b7-daa4-4f18-aba8-8dd7c667d65c true Motion Motion false 0 4267 9168 51 20 4294 9178 1 1 {0} 2.5 0 0 Translated geometry 25582ec0-bca6-4d7f-9a87-8d6f84e8b4f5 true Geometry Geometry false 0 4348 9148 53 20 4376 9158 Transformation data 64394fd4-0c64-4430-9412-ac0793b792b9 true Transform Transform false 0 4348 9168 53 20 4376 9178 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers a25e13b9-3e81-4a33-9443-7552163b2fbf Digit Scroller false 0 12 2 0.0000000000 3787 13324 250 20 3787.106 13324.69 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6abb6467-4717-433d-aad9-3f7d0611f1b9 Panel false 0 0 16.93121320041889709 3846 13203 144 20 0 0 0 3846.843 13203.17 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true ec403da9-8400-4058-a37d-088c53e519ef Curve Curve false 0 3889 13035 50 24 3914.377 13047.46 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 5faa427f-2fd4-4e43-b824-c38a71b6ccd8 Panel false 0 0 0.00137956207 4126 13846 439 20 0 0 0 4126.762 13846.78 255;255;255;255 false false true false false true 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true a125a8c3-93b2-4e73-a666-786124237c7c End Points End Points 4701 9769 96 44 4751 9791 Curve to evaluate 9e935fc4-7eb5-4c24-9ab7-2378caf6c357 Curve Curve false 202fba07-ff87-4a76-bf41-2713fd53fbec 1 4703 9771 33 40 4721 9791 Curve start point 2d775627-190d-4a25-b113-e3c0a680c0b6 Start Start false 0 4766 9771 29 20 4782 9781 Curve end point f508eb56-61a1-4b21-947b-2e13561d660a End End false 0 4766 9791 29 20 4782 9801 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 5e77352d-a354-4344-a188-f465fcdac189 Rectangle 2Pt Rectangle 2Pt 4686 9666 126 84 4744 9708 Rectangle base plane 0f624145-50c9-43d8-879b-a44142855f2e Plane Plane false 0 4688 9668 41 20 4710 9678 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. ac329dfe-7e72-4cb1-878e-cf84d12658c4 Point A Point A false 2d775627-190d-4a25-b113-e3c0a680c0b6 1 4688 9688 41 20 4710 9698 1 1 {0} 0 0 0 Second corner point. 12160a02-dbd3-4d66-ba4c-1b7c1785c2e0 Point B Point B false f508eb56-61a1-4b21-947b-2e13561d660a 1 4688 9708 41 20 4710 9718 1 1 {0} 10 5 0 Rectangle corner fillet radius e84f7103-16b8-453d-a805-15e451ebc650 Radius Radius false 0 4688 9728 41 20 4710 9738 1 1 {0} 0 Rectangle defined by P, A and B 194f16f0-1a80-4be7-943c-e4e4e58a1853 Rectangle Rectangle false 0 4759 9668 51 40 4786 9688 Length of rectangle curve 6b4763f7-380c-4eac-b770-acc0f2566a4c Length Length false 0 4759 9708 51 40 4786 9728 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true b6259596-7390-4b8c-9676-187b43339133 Deconstuct Rectangle Deconstuct Rectangle 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 77316fc6-532b-4419-b124-19d6857ef25c 1 513f6f70-4cb0-44c5-aa09-e20b7bdbbfcd Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f7b46e5c-262a-4b4a-b27f-f3b6fcdf6cb7 1 3b7f5578-dc96-4e80-a3c9-b7ecb20f0995 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 6751dded-61f5-4116-ae7d-70e3e62bb4f4 a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 c224342c-801f-4459-9224-44879ddf539f 5b72b61e-c707-41cc-8321-4cdcde7b1603 0e63da62-fc21-4853-b665-f1b6a097aa62 51505618-00ee-42c6-91db-d51a4518e63a 91a9907e-16e2-42d5-adce-80f08547a326 bade2dc2-5919-4723-bde3-ebdd9bc0713a 00e0fa87-e939-458a-a5c2-a7c1881b324b 43f42d91-5176-4c4f-afee-8dec17e3fefd 3b7f5578-dc96-4e80-a3c9-b7ecb20f0995 513f6f70-4cb0-44c5-aa09-e20b7bdbbfcd 8bce7019-294e-4431-acae-9cf3b83d6cbf 15acfcdb-0966-49ce-b323-67a6586ecc0b ba3d57c5-1de1-431f-9ca1-0ec66e14ac98 a20beb6d-88ec-44e4-900b-86e895f1d955 ef6b993d-c95e-4377-b3fd-234b7474bff7 13009076-acb9-4d71-becc-81d2f2ce38a6 e15b337c-36b0-48cf-8b9d-8ab3c5ba06f2 e28a1f4c-0160-400f-816a-427e4b6eb69c 20 a22ee24a-c97b-496e-85f3-170833a2c20a Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 6751dded-61f5-4116-ae7d-70e3e62bb4f4 true Duplicate Data Duplicate Data 19843 14259 104 64 19902 14291 1 Data to duplicate 44bb5dbe-ab05-4f9c-954d-882f14fdacce true Data Data false 6e66f57e-38ab-4ebe-ba95-af421b37b6af 1 19845 14261 42 20 19867.5 14271 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 1c6133c6-4138-4c35-a5fb-9ced5c1236d1 true Number Number false bce92ca7-1d60-4e27-af26-79f0474f4ef5 1 19845 14281 42 20 19867.5 14291 1 1 {0} 500 Retain list order bbc9c5c3-8a48-489a-8815-b189d5578d16 true Order Order false 0 19845 14301 42 20 19867.5 14311 1 1 {0} true 1 Duplicated data fb451eba-0ecb-4301-9982-52fd2e4ca758 true Data Data false 0 19917 14261 28 60 19932.5 14291 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 19829 12331 116 44 19890 12353 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 1a5579d4-65cb-4d2d-9962-d6edc8dd2e0e true Forward Forward true 1 true fb451eba-0ecb-4301-9982-52fd2e4ca758 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 19831 12333 44 20 19854.5 12343 1 false Script Variable Left 9038a9df-59d3-4df9-9351-47fd30202540 true Left Left true 1 true 23210470-a829-432f-9104-72180222a72d 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 19831 12353 44 20 19854.5 12363 Print, Reflect and Error streams dcca8280-f52a-4d3b-a9ac-709dbdd3d573 true Output Output false 0 19905 12333 38 20 19925.5 12343 Output parameter Points 4d442fde-c9e8-4f99-b4ac-7861aec8dcdf true Points Points false 0 19905 12353 38 20 19925.5 12363 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 5b72b61e-c707-41cc-8321-4cdcde7b1603 true Series Series 19840 13588 101 64 19890 13620 First number in the series 8117e42f-3ae5-4096-b6db-e2701e32273e true Start Start false 0 19842 13590 33 20 19860 13600 1 1 {0} 0 Step size for each successive number 900bb15d-fcaa-4ed2-914d-dc65d964cc20 true Step Step false ac135457-d344-4adb-8f93-f9cd86c093ea 1 19842 13610 33 20 19860 13620 1 1 {0} 1 Number of values in the series 2ff2b0d7-0ede-4509-bdb1-fcd22b116940 true Count Count false bce92ca7-1d60-4e27-af26-79f0474f4ef5 1 19842 13630 33 20 19860 13640 1 Series of numbers a67158d0-bd57-4cc1-9d6c-2761dbb52beb true Series Series false 0 19905 13590 34 60 19923.5 13620 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 0e63da62-fc21-4853-b665-f1b6a097aa62 true Number Slider false 0 19826 14438 150 20 19826.62 14438.41 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 51505618-00ee-42c6-91db-d51a4518e63a true Radians Radians 19790 13830 120 28 19851 13844 Angle in degrees ea8af976-f4f0-45ea-bbb3-229de48bc776 true Degrees Degrees false 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 1 19792 13832 44 24 19815.5 13844 Angle in radians 7f960f63-5001-4e99-bded-b99fdd564f68 true Radians Radians false 0 19866 13832 42 24 19888.5 13844 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 91a9907e-16e2-42d5-adce-80f08547a326 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 19766 14193 251 20 19766.83 14193.4 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true 43f42d91-5176-4c4f-afee-8dec17e3fefd true Interpolate (t) Interpolate (t) 19815 11566 144 84 19901 11608 1 Interpolation points fc261672-d767-4e35-9f3a-ccfb8a27fe3e true Vertices Vertices false 8e51e896-77f9-4f8e-9163-e0c326cb830d 1 19817 11568 69 20 19853 11578 Tangent at start of curve b1ddbecf-3cbe-40d8-969a-c2531ba366e1 true Tangent Start Tangent Start false 0 19817 11588 69 20 19853 11598 1 1 {0} 0.0625 0 0 Tangent at end of curve 1e2dda87-d283-45f9-9b7e-aa27fdb123f8 true Tangent End Tangent End false 0 19817 11608 69 20 19853 11618 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) c7628616-f96f-455c-8b2c-c2b7c2d14380 true KnotStyle KnotStyle false 0 19817 11628 69 20 19853 11638 1 1 {0} 2 Resulting nurbs curve 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 true Curve Curve false 0 19916 11568 41 26 19938 11581.33 Curve length da4534ba-b204-4946-9581-1d487542bf08 true Length Length false 0 19916 11594 41 27 19938 11608 Curve domain dbe3ee94-b575-4c7e-8e52-f30b4240bca1 true Domain Domain false 0 19916 11621 41 27 19938 11634.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 6751dded-61f5-4116-ae7d-70e3e62bb4f4 a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 c224342c-801f-4459-9224-44879ddf539f 5b72b61e-c707-41cc-8321-4cdcde7b1603 0e63da62-fc21-4853-b665-f1b6a097aa62 51505618-00ee-42c6-91db-d51a4518e63a 91a9907e-16e2-42d5-adce-80f08547a326 bade2dc2-5919-4723-bde3-ebdd9bc0713a 909a2370-4806-4bd1-9748-07f578e0d30d d7e26251-a338-4524-be58-83a550471308 2d7356db-3b2b-4dda-a323-e9139f48c65b ad3f6d83-6e8c-431f-a4e3-21baf669d1cd b8fb7f0e-c7dc-4787-b511-ebfbf7a4c32a 32499351-f670-4091-8e63-39ea27a7ab45 14 00e0fa87-e939-458a-a5c2-a7c1881b324b Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true a5be8183-8052-4c18-b9c3-b5ad4806e481 true Evaluate Length Evaluate Length 19815 11398 144 64 19889 11430 Curve to evaluate 4bbe1110-a807-4c12-8147-c1d86f3d9c00 true Curve Curve false 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 1 19817 11400 57 20 19847 11410 Length factor for curve evaluation 910a4ec4-2fa1-40c8-8007-689f7ea1c51c true Length Length false 0 19817 11420 57 20 19847 11430 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 73968315-c692-44c6-900d-0ee2a3cffbd4 true Normalized Normalized false 0 19817 11440 57 20 19847 11450 1 1 {0} true Point at the specified length c0642d5a-3d4b-4dc5-82cd-cccf47a36b28 true Point Point false 0 19904 11400 53 20 19932 11410 Tangent vector at the specified length eda4539a-29d4-440d-94bc-4d594360cf45 true Tangent Tangent false 0 19904 11420 53 20 19932 11430 Curve parameter at the specified length 8653f75a-4dd3-4e7c-9de5-2f8007af2ead true Parameter Parameter false 0 19904 11440 53 20 19932 11450 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 44966b1b-3ea0-483a-82d9-f4f1fa578005 true Mirror Mirror 19818 11336 138 44 19886 11358 Base geometry 6efe9667-e6dd-42cd-a4fb-88cdec45b92f true Geometry Geometry true 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 1 19820 11338 51 20 19847 11348 Mirror plane 68e7741c-f9d7-4f97-8d28-c38c8af7c7e4 true Plane Plane false fc45468d-f5ea-4b46-a2b3-fe3c1afb8068 1 19820 11358 51 20 19847 11368 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry c793c331-4fbd-49ce-a1cf-4037e3705174 true Geometry Geometry false 0 19901 11338 53 20 19929 11348 Transformation data 5cef374b-a716-4946-a2e9-d407bd0da8cf true Transform Transform false 0 19901 11358 53 20 19929 11368 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 8806d21d-7702-4c51-9c8e-c26672cb86bd true Line SDL Line SDL 19834 11482 106 64 19898 11514 Line start point 4763e0fc-d01f-4ab9-be99-2ce80cee9d4a true Start Start false c0642d5a-3d4b-4dc5-82cd-cccf47a36b28 1 19836 11484 47 20 19861 11494 Line tangent (direction) f3a74835-ec4e-482d-9fff-b79b78383670 true Direction Direction false eda4539a-29d4-440d-94bc-4d594360cf45 1 19836 11504 47 20 19861 11514 1 1 {0} 0 0 1 Line length f9f0f373-f7a3-407d-a7dc-a3642c8ced7e true Length Length false 0 19836 11524 47 20 19861 11534 1 1 {0} 1 Line segment fc45468d-f5ea-4b46-a2b3-fe3c1afb8068 true Line Line false 0 19913 11484 25 60 19927 11514 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 4361eca2-7e72-479b-90f9-ca08f68314cd true Join Curves Join Curves 19828 11274 118 44 19891 11296 1 Curves to join c9db13de-3310-4b52-b3ea-97394158fc10 true Curves Curves false 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 c793c331-4fbd-49ce-a1cf-4037e3705174 2 19830 11276 46 20 19854.5 11286 Preserve direction of input curves f7b69204-bf9a-4975-9adc-f03b2efbdf66 true Preserve Preserve false 0 19830 11296 46 20 19854.5 11306 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 0de341f6-8378-48af-8922-967aa818ba3c true Curves Curves false 0 19906 11276 38 40 19926.5 11296 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true d3dd375f-6e48-40ff-9657-314f71dccd8e true Evaluate Length Evaluate Length 19815 11190 144 64 19889 11222 Curve to evaluate 47a3462d-eef3-490e-a864-db335ce0e375 true Curve Curve false 0de341f6-8378-48af-8922-967aa818ba3c 1 19817 11192 57 20 19847 11202 Length factor for curve evaluation e9137704-c647-4ead-8bf0-076d70120b4b true Length Length false 0 19817 11212 57 20 19847 11222 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) ce7ae3e8-5b38-4ec9-b347-94f60584bb46 true Normalized Normalized false 0 19817 11232 57 20 19847 11242 1 1 {0} true Point at the specified length 1687bfac-5d38-45b1-a7ea-2b25ecb16e72 true Point Point false 0 19904 11192 53 20 19932 11202 Tangent vector at the specified length ce0994de-2117-458c-9516-4d3055806371 true Tangent Tangent false 0 19904 11212 53 20 19932 11222 Curve parameter at the specified length 73ca1991-c283-4c19-87f7-69bc774a7109 true Parameter Parameter false 0 19904 11232 53 20 19932 11242 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true c32c4687-949b-4b62-adfc-13c978459a44 true Rotate Rotate 19818 11107 138 64 19886 11139 Base geometry b6aea7bf-5e0e-458d-beed-1c2c8e02f701 true Geometry Geometry true 0de341f6-8378-48af-8922-967aa818ba3c 1 19820 11109 51 20 19847 11119 Rotation angle in radians 10cbdf1c-0a92-4297-a870-5b33a3485187 true Angle Angle false 0 false 19820 11129 51 20 19847 11139 1 1 {0} 3.1415926535897931 Rotation plane 3ccf34f9-35c3-4302-ab22-1cb44e0033c3 true Plane Plane false 1687bfac-5d38-45b1-a7ea-2b25ecb16e72 1 19820 11149 51 20 19847 11159 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry d61c1b3a-0ecc-40d8-abdb-975a5a459e86 true Geometry Geometry false 0 19901 11109 53 30 19929 11124 Transformation data 210f36ea-502b-4b73-8c3e-808ae1fdaeda true Transform Transform false 0 19901 11139 53 30 19929 11154 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 9982f79e-ff56-4209-b777-92feecfebf0b true Join Curves Join Curves 19828 11044 118 44 19891 11066 1 Curves to join 3b3b7847-16c7-4873-bb6d-40473182dfea true Curves Curves false 0de341f6-8378-48af-8922-967aa818ba3c d61c1b3a-0ecc-40d8-abdb-975a5a459e86 2 19830 11046 46 20 19854.5 11056 Preserve direction of input curves 9e46f1b4-1d68-4007-bc19-b698b6ba0f4f true Preserve Preserve false 0 19830 11066 46 20 19854.5 11076 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 29ddbb5f-5cfd-4023-959a-1c3ce3f11ffd true Curves Curves false 0 19906 11046 38 40 19926.5 11066 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 43f42d91-5176-4c4f-afee-8dec17e3fefd a5be8183-8052-4c18-b9c3-b5ad4806e481 44966b1b-3ea0-483a-82d9-f4f1fa578005 8806d21d-7702-4c51-9c8e-c26672cb86bd 4361eca2-7e72-479b-90f9-ca08f68314cd d3dd375f-6e48-40ff-9657-314f71dccd8e c32c4687-949b-4b62-adfc-13c978459a44 9982f79e-ff56-4209-b777-92feecfebf0b 3d3e34c6-181a-467b-8cad-0184b338d3ab dedfe789-29c6-4593-af82-02f033f7153d 0ad98407-14cf-4326-a90c-2a3a2ff3f69e 8e51e896-77f9-4f8e-9163-e0c326cb830d b6c87281-0865-4ce1-ab93-3245995234b2 57321ef9-d766-4c26-936f-87297eda8e4c 9a0f8949-a570-4642-ba43-d12a64260252 15 f7b46e5c-262a-4b4a-b27f-f3b6fcdf6cb7 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 0d3eda3f-4923-44f8-90a9-89dfecb28754 true Panel false 0 e1d4d571-b98d-45a4-84a5-722727a300a1 1 Double click to edit panel content… 19820 13679 145 20 0 0 0 19820.36 13679.91 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 3d3e34c6-181a-467b-8cad-0184b338d3ab true Curve Curve false 29ddbb5f-5cfd-4023-959a-1c3ce3f11ffd 1 19868 11007 50 24 19893.94 11019.47 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 3d3e34c6-181a-467b-8cad-0184b338d3ab 1 9b12e5ff-888d-4bcd-b58f-b1e25865e413 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d7e26251-a338-4524-be58-83a550471308 true Panel false 0 0 0.35721403168191375/4/4 19674 13916 439 20 0 0 0 19674.92 13916.59 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true b7daf0c1-c870-43f1-8069-937188ea2098 true Evaluate Length Evaluate Length 19815 10918 144 64 19889 10950 Curve to evaluate b68b8748-763c-4876-ae5a-9eac2d636206 true Curve Curve false 29ddbb5f-5cfd-4023-959a-1c3ce3f11ffd 1 19817 10920 57 20 19847 10930 Length factor for curve evaluation ebc65293-34cc-4b16-9a27-ff8641c3cdc9 true Length Length false 0 19817 10940 57 20 19847 10950 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) d91211f0-1519-4b19-a7a6-0a568dc137a0 true Normalized Normalized false 0 19817 10960 57 20 19847 10970 1 1 {0} true Point at the specified length 8b095251-e0a5-424f-b9f7-c19cb3b6b9d4 true Point Point false 0 19904 10920 53 20 19932 10930 Tangent vector at the specified length 203c85bc-47d8-4fb2-86a0-e11a685461b0 true Tangent Tangent false 0 19904 10940 53 20 19932 10950 Curve parameter at the specified length 362d6e02-8150-448e-b113-f8e4fb29e367 true Parameter Parameter false 0 19904 10960 53 20 19932 10970 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 9c6499e6-36ac-4453-a5a2-0b08a670e6b3 true Expression Expression 19790 10696 194 28 19890 10710 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 5e08d9d9-c759-474c-8ee4-48501e8d3071 true Variable O O true 6bc3c88a-382e-429b-b739-b3c637ec9167 1 19792 10698 14 24 19800.5 10710 Result of expression 0c5bfe8e-d000-45dd-9075-fdd13ce53ed1 true Result false 0 19973 10698 9 24 19979 10710 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 0e8fb521-dae4-4b07-9818-8bad01802859 true Deconstruct Deconstruct 19821 10830 132 64 19868 10862 Input point ee11b5e7-2c89-40a3-98c8-e8daa69f139b true Point Point false 8b095251-e0a5-424f-b9f7-c19cb3b6b9d4 1 19823 10832 30 60 19839.5 10862 Point {x} component 6bc3c88a-382e-429b-b739-b3c637ec9167 true X component X component false 0 19883 10832 68 20 19918.5 10842 Point {y} component e2d25018-3ecd-477d-9619-b1a2153f60f0 true Y component Y component false 0 19883 10852 68 20 19918.5 10862 Point {z} component 2630adec-27ac-4a51-8556-7c76d3add3fd true Z component Z component false 0 19883 10872 68 20 19918.5 10882 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 705c4605-737a-4483-bb5d-30d2abe2372d true Panel false 0 0c5bfe8e-d000-45dd-9075-fdd13ce53ed1 1 Double click to edit panel content… 19812 10673 160 20 0 0 0 19812.71 10673.05 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0c5d082d-5e4e-4261-ab49-9e89b25bdd8b true Expression Expression 19790 10610 194 28 19890 10624 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 75c79058-7a7a-4d27-92b5-fb94095db47f true Variable O O true e2d25018-3ecd-477d-9619-b1a2153f60f0 1 19792 10612 14 24 19800.5 10624 Result of expression 9f2e3219-5468-4c96-83e8-c599debfdcee true Result false 0 19973 10612 9 24 19979 10624 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values acd7f663-1e08-4750-9935-f932723f55c2 true Panel false 0 9f2e3219-5468-4c96-83e8-c599debfdcee 1 Double click to edit panel content… 19812 10584 160 20 0 0 0 19812.71 10584.62 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 7781dbe1-0868-4c91-9085-d86a30252cd1 true Division Division 19846 10508 82 44 19877 10530 Item to divide (dividend) 478a782f-96b8-4671-b877-1d43d053547e true A A false 705c4605-737a-4483-bb5d-30d2abe2372d 1 19848 10510 14 20 19856.5 10520 Item to divide with (divisor) 65f3d1ef-d3da-4331-85bf-3dfa295f8bcc true B B false acd7f663-1e08-4750-9935-f932723f55c2 1 19848 10530 14 20 19856.5 10540 The result of the Division 21a68447-ed9f-4d13-9799-506afe2e1a2d true Result Result false 0 19892 10510 34 40 19910.5 10530 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c95810a3-7ba4-4cf5-9c11-4bb71d47121e true Panel false 0 e1d4d571-b98d-45a4-84a5-722727a300a1 1 Double click to edit panel content… 19812 10437 160 20 0 0 0 19812.95 10437.11 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e2890801-a224-4d61-ad7e-72a44d574e47 true Expression Expression 19790 10461 194 28 19890 10475 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable ebb85077-a718-4a4a-97ea-1a308d5f8e79 true Variable O O true 21a68447-ed9f-4d13-9799-506afe2e1a2d 1 19792 10463 14 24 19800.5 10475 Result of expression a10c0c1c-af82-4342-a075-8185ce5afc24 true Result false 0 19973 10463 9 24 19979 10475 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e1d4d571-b98d-45a4-84a5-722727a300a1 true Relay false a10c0c1c-af82-4342-a075-8185ce5afc24 1 19867 10386 40 16 19887 10394 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 043653af-cbde-4517-b422-be6e5f87936f true Addition Addition 19846 10323 82 44 19877 10345 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 7cf03f57-d314-45d9-90d1-c86be18fde5e true A A true acd7f663-1e08-4750-9935-f932723f55c2 1 19848 10325 14 20 19856.5 10335 Second item for addition a1e6dfc9-cf55-48b3-84ea-b8d56f29cc20 true B B true 705c4605-737a-4483-bb5d-30d2abe2372d 1 19848 10345 14 20 19856.5 10355 Result of addition 68fdc599-1953-48d7-bc8c-5932473a4523 true Result Result false 0 19892 10325 34 40 19910.5 10345 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 07841301-4cf3-4a66-85b1-e5ec916a2e39 true Division Division 19846 10173 82 44 19877 10195 Item to divide (dividend) 90209013-ae0b-4b1b-ac60-9411fccdd32f true A A false cc6f43b8-5f43-4c3a-bcd8-21d40ab07b22 1 19848 10175 14 20 19856.5 10185 Item to divide with (divisor) 8eb40d02-4d54-42ba-a5fb-6debbc6ab088 true B B false 0 19848 10195 14 20 19856.5 10205 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division cfa73b73-53d3-4030-9b9d-ad94a95fff13 true Result Result false 0 19892 10175 34 40 19910.5 10195 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 71bafbfa-bbd2-4731-b092-360d68dd1f89 true Expression Expression 19790 10125 194 28 19890 10139 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 4bfddfe4-4374-4950-8e2c-fc6709025beb true Variable O O true cfa73b73-53d3-4030-9b9d-ad94a95fff13 1 19792 10127 14 24 19800.5 10139 Result of expression 41723857-11c9-41ca-92dc-4ff4746be3f6 true Result false 0 19973 10127 9 24 19979 10139 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 true Panel false 0 41723857-11c9-41ca-92dc-4ff4746be3f6 1 Double click to edit panel content… 19812 10100 160 20 0 0 0 19812.71 10100.97 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values cc6f43b8-5f43-4c3a-bcd8-21d40ab07b22 true Panel false 0 8bba3f69-b244-4947-9321-f43d0b8f2a3c 1 Double click to edit panel content… 19812 10252 160 20 0 0 0 19812.71 10252.88 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true ae074b5b-3e33-4c75-b243-1040c562808e true Expression Expression 19790 10276 194 28 19890 10290 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7397c8cb-0a77-4a1d-bb6b-c5455604716a true Variable O O true 68fdc599-1953-48d7-bc8c-5932473a4523 1 19792 10278 14 24 19800.5 10290 Result of expression 8bba3f69-b244-4947-9321-f43d0b8f2a3c true Result false 0 19973 10278 9 24 19979 10290 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 169030d8-0ef3-4395-bcc3-cbe9bf9fe74c true Scale Scale 19810 10002 154 64 19894 10034 Base geometry 8b0adac0-e9d1-4a8f-8fa2-f07ff2683050 true Geometry Geometry true 3d3e34c6-181a-467b-8cad-0184b338d3ab 1 19812 10004 67 20 19855 10014 Center of scaling a021bfdd-7da4-47bd-bcd6-65c83fb05f78 true Center Center false 0 19812 10024 67 20 19855 10034 1 1 {0} 0 0 0 Scaling factor 94c66d7e-f808-4875-a368-7d8361e1a13d 1/X true Factor Factor false 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 1 19812 10044 67 20 19855 10054 1 1 {0} 0.5 Scaled geometry 9f710a5a-3a74-4dc5-9baf-423298a69c56 true Geometry Geometry false 0 19909 10004 53 30 19937 10019 Transformation data f2c6e0f5-5131-4f3d-811f-258ecf2e2405 true Transform Transform false 0 19909 10034 53 30 19937 10049 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d34026ca-4b70-4411-82cf-8d3ed999249a true Curve Curve false 9f710a5a-3a74-4dc5-9baf-423298a69c56 1 19866 9406 50 24 19891.69 9418.472 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true a7b120dd-93ab-4c05-b07c-8cca78678511 true Expression Expression 19790 10783 194 28 19890 10797 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 31008d0d-9293-4681-86bf-350fd3330340 true Variable O O true 2630adec-27ac-4a51-8556-7c76d3add3fd 1 19792 10785 14 24 19800.5 10797 Result of expression 3be034f8-43ed-414b-a7b9-e70eeea623a6 true Result false 0 19973 10785 9 24 19979 10797 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b6942b45-28f1-415e-b716-c145bc9151f8 true Panel false 0 3be034f8-43ed-414b-a7b9-e70eeea623a6 1 Double click to edit panel content… 19813 10758 160 20 0 0 0 19813.58 10758.82 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 4756b165-e13c-4efa-a9f4-49cfee960c09 true Evaluate Length Evaluate Length 19815 9792 144 64 19889 9824 Curve to evaluate 0b3e09e1-68d2-4d94-9693-5fb495c6e390 true Curve Curve false 9f710a5a-3a74-4dc5-9baf-423298a69c56 1 19817 9794 57 20 19847 9804 Length factor for curve evaluation afb1de04-420f-4a0b-b529-002058a9db53 true Length Length false 0 19817 9814 57 20 19847 9824 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 3fca856c-76cf-44d5-bb6e-206b321629b6 true Normalized Normalized false 0 19817 9834 57 20 19847 9844 1 1 {0} true Point at the specified length af80d21b-1f5e-4947-a03c-640b82a69b21 true Point Point false 0 19904 9794 53 20 19932 9804 Tangent vector at the specified length dbd983bb-b7e3-4169-8147-49e1ce657bbe true Tangent Tangent false 0 19904 9814 53 20 19932 9824 Curve parameter at the specified length 78a3975b-e78d-4378-abd7-ff78a6dfdb56 true Parameter Parameter false 0 19904 9834 53 20 19932 9844 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 2cd8d8bc-a40f-437b-b31c-558faba36c20 true Expression Expression 19790 9575 194 28 19890 9589 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 11b870fb-d218-4095-91f2-09e78cdb9954 true Variable O O true 7cdda9cf-2811-4c39-a7c2-777cb23f9fe7 1 19792 9577 14 24 19800.5 9589 Result of expression 5337a317-0417-4e03-afbc-b7b1caad644b true Result false 0 19973 9577 9 24 19979 9589 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true ae8f0f43-e96e-487a-8de1-2180383d09ef true Deconstruct Deconstruct 19821 9709 132 64 19868 9741 Input point edb86a78-de29-4615-8f52-a210df08d8b2 true Point Point false af80d21b-1f5e-4947-a03c-640b82a69b21 1 19823 9711 30 60 19839.5 9741 Point {x} component 7cdda9cf-2811-4c39-a7c2-777cb23f9fe7 true X component X component false 0 19883 9711 68 20 19918.5 9721 Point {y} component 77ca28f7-4d10-4073-911f-30e97af05443 true Y component Y component false 0 19883 9731 68 20 19918.5 9741 Point {z} component 907dd24c-5c4d-4b24-8432-418c3f3d5536 true Z component Z component false 0 19883 9751 68 20 19918.5 9761 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e80ad1f6-d186-46ea-b4ca-5a18de688c31 true Panel false 0 5337a317-0417-4e03-afbc-b7b1caad644b 1 Double click to edit panel content… 19812 9546 160 20 0 0 0 19812.96 9546.394 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 7f41b441-96a4-4dd8-8529-ef17e9883be8 true Expression Expression 19790 9489 194 28 19890 9503 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 568ff6f3-6344-4e1a-b0cd-ebf47b687d26 true Variable O O true 77ca28f7-4d10-4073-911f-30e97af05443 1 19792 9491 14 24 19800.5 9503 Result of expression 867d25c4-5ac7-4997-a84d-84f960d07280 true Result false 0 19973 9491 9 24 19979 9503 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c446016e-395b-49f7-93f2-d70abc692b11 true Panel false 0 867d25c4-5ac7-4997-a84d-84f960d07280 1 Double click to edit panel content… 19812 9460 160 20 0 0 0 19812.97 9460.763 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 7282fb8c-f882-4173-951c-c2dc9d0cfe9b true Expression Expression 19790 9661 194 28 19890 9675 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 03ea6371-22b8-4d0a-9aaf-e77b334ba30e true Variable O O true 907dd24c-5c4d-4b24-8432-418c3f3d5536 1 19792 9663 14 24 19800.5 9675 Result of expression 76060779-0821-4cba-b13a-cb37cf674375 true Result false 0 19973 9663 9 24 19979 9675 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 12a17ae0-1bea-4760-a22a-9107fe49a5bf true Panel false 0 76060779-0821-4cba-b13a-cb37cf674375 1 Double click to edit panel content… 19812 9632 160 20 0 0 0 19812.71 9632.603 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2d7356db-3b2b-4dda-a323-e9139f48c65b true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 19704 13987 379 104 0 0 0 19704.37 13987.06 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e15b337c-36b0-48cf-8b9d-8ab3c5ba06f2 true Panel false 0 17b689dc-6c83-495b-8f68-9b390a532d95 1 Double click to edit panel content… 19724 11996 337 276 0 0 0 19724.9 11996.39 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e28a1f4c-0160-400f-816a-427e4b6eb69c true Expression Expression 19790 12283 194 28 19890 12297 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3a314534-26be-4daa-ad56-b7c3a1342c6a true Variable O O true 4d442fde-c9e8-4f99-b4ac-7861aec8dcdf 1 19792 12285 14 24 19800.5 12297 Result of expression 17b689dc-6c83-495b-8f68-9b390a532d95 true Result false 0 19973 12285 9 24 19979 12297 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers bce92ca7-1d60-4e27-af26-79f0474f4ef5 true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 19876 14396 50 24 19901.67 14408.7 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true 8bce7019-294e-4431-acae-9cf3b83d6cbf true Curve Graph Mapper Curve Graph Mapper 19718 12565 160 224 19786 12677 1 One or multiple graph curves to graph map values with b7a08287-7813-4e05-bf96-b6b19345bee7 true Curves Curves false 8bb21724-b5ab-4c5d-8522-0036b0c2d655 1 19720 12567 51 27 19747 12580.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 84e25cf9-5676-4166-836b-a086d216eac7 true Rectangle Rectangle false 1c705af6-bcc8-4ed6-93a5-75a5492152e1 1 19720 12594 51 28 19747 12608.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis b1a5a1ac-77d7-49f2-9a43-243c7b67c04d true Values Values false a67158d0-bd57-4cc1-9d6c-2761dbb52beb 1 19720 12622 51 27 19747 12635.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 9dc7d6c5-a323-44d4-8794-725b585a413d true X Axis X Axis true 0 19720 12649 51 28 19747 12663.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 35d5048b-24fa-4e18-8c3b-f9892e533dd3 true Y Axis Y Axis true 0 19720 12677 51 27 19747 12690.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 80a31cc6-65c1-40b0-be68-9713793b5de4 true Flip Flip false 0 19720 12704 51 28 19747 12718.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle b6abd887-c29a-43af-849c-69ed07ac411d true Snap Snap false 0 19720 12732 51 27 19747 12745.75 1 1 {0} true Size of the graph labels ceda0ea7-4653-42fc-8d4f-3be37d9d2ce2 true Text Size Text Size false 0 19720 12759 51 28 19747 12773.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 7920c98f-597b-483b-b53d-edfc17a6e253 true Mapped Mapped false 0 19801 12567 75 20 19840 12577 1 The graph curves inside the boundary of the graph e2f66310-349c-4e5f-862f-d0fb899f5a6c true Graph Curves Graph Curves false 0 19801 12587 75 20 19840 12597 1 The points on the graph curves where the X Axis input values intersected true 0992d820-e43d-43f2-addf-07cf4ad26709 true Graph Points Graph Points false 0 19801 12607 75 20 19840 12617 1 The lines from the X Axis input values to the graph curves true 1be30150-9798-428e-90a6-e4bb1c9ccde6 true Value Lines Value Lines false 0 19801 12627 75 20 19840 12637 1 The points plotted on the X Axis which represent the input values true a360cee3-40a4-4260-a485-e8949905719d true Value Points Value Points false 0 19801 12647 75 20 19840 12657 1 The lines from the graph curves to the Y Axis graph mapped values true 7c7e84a7-7ea2-43bb-8c87-39f735231cd7 true Mapped Lines Mapped Lines false 0 19801 12667 75 20 19840 12677 1 The points mapped on the Y Axis which represent the graph mapped values true 56c0f5d3-7009-4a72-8a21-c9159f5cea1c true Mapped Points Mapped Points false 0 19801 12687 75 20 19840 12697 The graph boundary background as a surface 9ad25265-a5cc-4408-b5ad-dc46e1b59a6e true Boundary Boundary false 0 19801 12707 75 20 19840 12717 1 The graph labels as curve outlines aa38638f-6796-4bbf-bcdd-71709e47adf3 true Labels Labels false 0 19801 12727 75 20 19840 12737 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds dfac6aea-f4f7-4062-81a0-512a24a735e6 true Out Of Bounds Out Of Bounds false 0 19801 12747 75 20 19840 12757 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 0e958900-5727-4bbf-b41f-6e50bb26cb38 true Intersected Intersected false 0 19801 12767 75 20 19840 12777 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 15acfcdb-0966-49ce-b323-67a6586ecc0b true End Points End Points 19839 12990 96 44 19889 13012 Curve to evaluate fa64da3b-3349-4c6d-a224-c6c87c463945 true Curve Curve false 8bb21724-b5ab-4c5d-8522-0036b0c2d655 1 19841 12992 33 40 19859 13012 Curve start point 3d2978fc-62c6-4cb1-ab23-81bcac3d72e9 true Start Start false 0 19904 12992 29 20 19920 13002 Curve end point 8cc68191-5c2c-41f9-bcf4-a7bb613c6b82 true End End false 0 19904 13012 29 20 19920 13022 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true ba3d57c5-1de1-431f-9ca1-0ec66e14ac98 true Rectangle 2Pt Rectangle 2Pt 19829 12862 126 84 19887 12904 Rectangle base plane 96b2d8cf-83f9-4e22-9561-aa5f589a6f93 true Plane Plane false 0 19831 12864 41 20 19853 12874 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 05c67ed8-c822-4ea6-ac23-05adc26d9a7a true Point A Point A false 3d2978fc-62c6-4cb1-ab23-81bcac3d72e9 1 19831 12884 41 20 19853 12894 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 9533f4ce-b8de-4e01-98c8-b441414bf3ef true Point B Point B false 8cc68191-5c2c-41f9-bcf4-a7bb613c6b82 1 19831 12904 41 20 19853 12914 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 653f9f30-14d7-41a1-b39b-ab695d480b29 true Radius Radius false 0 19831 12924 41 20 19853 12934 1 1 {0} 0 Rectangle defined by P, A and B 1c705af6-bcc8-4ed6-93a5-75a5492152e1 true Rectangle Rectangle false 0 19902 12864 51 40 19929 12884 Length of rectangle curve ab014019-a051-46b4-b49e-1c2df62f3397 true Length Length false 0 19902 12904 51 40 19929 12924 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true a20beb6d-88ec-44e4-900b-86e895f1d955 true GraphMapper+ GraphMapper+ false 19878 12685 126 104 19945 12737 External curve as a graph c6e83ccd-f124-4631-b292-e3858aa3d02f true Curve Curve false 8bb21724-b5ab-4c5d-8522-0036b0c2d655 1 19880 12687 50 20 19906.5 12697 Optional Rectangle boundary. If omitted the curve's would be landed e73bd5e2-2790-45a7-9e95-e37f8072c062 true Boundary Boundary true 1c705af6-bcc8-4ed6-93a5-75a5492152e1 1 19880 12707 50 20 19906.5 12717 1 List of input numbers a9d25aa0-24f9-478e-8bd8-3652a4b9f1d2 true Numbers Numbers false a67158d0-bd57-4cc1-9d6c-2761dbb52beb 1 19880 12727 50 20 19906.5 12737 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 360d81d5-088a-4aaf-b4ed-2ccefd9b6778 true Input Input true e651efcf-8925-44d5-8b61-3d494105bf2a 1 19880 12747 50 20 19906.5 12757 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 20a7efc6-c912-4adf-931d-52677237e590 true Output Output true e651efcf-8925-44d5-8b61-3d494105bf2a 1 19880 12767 50 20 19906.5 12777 1 Output Numbers 13abfc56-e59b-4434-bfcd-a516552839fd true Number Number false 0 19960 12687 42 100 19982.5 12737 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true ef6b993d-c95e-4377-b3fd-234b7474bff7 true Stream Filter Stream Filter 19853 12482 89 64 19898 12514 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream cdff3e8e-8916-4277-abbf-35ceba4acafd true Gate Gate false 57c04315-8443-4211-b8a3-ffe22027dbed 1 19855 12484 28 20 19870.5 12494 1 1 {0} 0 2 Input stream at index 0 036370a1-cb24-4d22-af3a-e984cad4c83a true false Stream 0 0 true 7920c98f-597b-483b-b53d-edfc17a6e253 1 19855 12504 28 20 19870.5 12514 2 Input stream at index 1 9e0eccb7-cce6-41a2-ad5f-a12d6d5a37a8 true false Stream 1 1 true 13abfc56-e59b-4434-bfcd-a516552839fd 1 19855 12524 28 20 19870.5 12534 2 Filtered stream 23210470-a829-432f-9104-72180222a72d true false Stream S(1) false 0 19913 12484 27 60 19928 12514 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 13009076-acb9-4d71-becc-81d2f2ce38a6 true Number Slider false 0 19829 12400 150 20 19829.33 12400.99 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ad3f6d83-6e8c-431f-a4e3-21baf669d1cd true Panel false 1 c3a66e4f-0d28-4db9-9fa7-91dd4ec50f2c 1 Double click to edit panel content… 19803 13183 185 271 0 0 0 19803.4 13183.26 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 909a2370-4806-4bd1-9748-07f578e0d30d true Bounds Bounds 19828 13129 122 28 19892 13143 1 Numbers to include in Bounds 2a9bc31e-ee89-4e39-9f1a-1374f89c8e68 true Numbers Numbers false a67158d0-bd57-4cc1-9d6c-2761dbb52beb 1 19830 13131 47 24 19855 13143 Numeric Domain between the lowest and highest numbers in {N} e651efcf-8925-44d5-8b61-3d494105bf2a true Domain Domain false 0 19907 13131 41 24 19929 13143 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b8fb7f0e-c7dc-4787-b511-ebfbf7a4c32a true Expression Expression 19790 13543 194 28 19890 13557 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 8ec6fe13-9c92-4aeb-a98b-8b6360f2d0b9 true Variable O O true a67158d0-bd57-4cc1-9d6c-2761dbb52beb 1 19792 13545 14 24 19800.5 13557 Result of expression c3a66e4f-0d28-4db9-9fa7-91dd4ec50f2c true Result false 0 19973 13545 9 24 19979 13557 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 805743f8-f4b5-4be8-b97c-3562acfda600 true Expression Expression 19704 13775 367 28 19890 13789 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e22862dd-0996-4650-a7a0-53ae92c767b5 true Variable O O true 7f960f63-5001-4e99-bded-b99fdd564f68 1 19706 13777 14 24 19714.5 13789 Result of expression f20dbaaa-dfa1-4745-a19a-793227df0baf true Result false 0 20060 13777 9 24 20066 13789 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ac135457-d344-4adb-8f93-f9cd86c093ea true Panel false 0 f20dbaaa-dfa1-4745-a19a-793227df0baf 1 Double click to edit panel content… 19803 13720 179 20 0 0 0 19803.54 13720.13 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d34026ca-4b70-4411-82cf-8d3ed999249a 1 8b42ee2f-db97-4077-aad7-aa4be617f8d2 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true b6d93c84-f99c-40cf-aa70-8172f4e56afe true Scale Scale 19810 9917 154 64 19894 9949 Base geometry 476358a0-4e67-428f-b666-abaecdc9f1b4 true Geometry Geometry true 8e51e896-77f9-4f8e-9163-e0c326cb830d 1 19812 9919 67 20 19855 9929 Center of scaling bb2464d6-de45-4325-9006-a1d33f4b1a9d true Center Center false 0 19812 9939 67 20 19855 9949 1 1 {0} 0 0 0 Scaling factor 7c654ea2-8860-4639-9bc3-ef41eca29490 1/X true Factor Factor false 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 1 19812 9959 67 20 19855 9969 1 1 {0} 0.5 Scaled geometry 73aea5a2-f7ba-4417-825f-d5c4faa98321 true Geometry Geometry false 0 19909 9919 53 30 19937 9934 Transformation data 2a4f9156-02b4-4d58-a11d-7562c70b805c true Transform Transform false 0 19909 9949 53 30 19937 9964 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 0cae36b2-f309-4924-933e-5864c8f0ef06 true Point Point false 73aea5a2-f7ba-4417-825f-d5c4faa98321 1 19867 9884 50 24 19892.69 9896.644 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 25d5288d-d4fd-4bd2-b9ae-3af995eb6d32 true Mirror Mirror 19815 9117 138 44 19883 9139 Base geometry a2a02010-5b5e-4c3e-b7bb-c9a15edfffab true Geometry Geometry true d34026ca-4b70-4411-82cf-8d3ed999249a 1 19817 9119 51 20 19844 9129 Mirror plane 3b1595b4-b7db-41ad-ae73-0c9b1578fa21 true Plane Plane false 0 19817 9139 51 20 19844 9149 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 184f8eaf-b09a-4512-883f-29c2ae607212 true Geometry Geometry false 0 19898 9119 53 20 19926 9129 Transformation data fb3a03ed-8f67-4796-88a0-d34f8f67f516 true Transform Transform false 0 19898 9139 53 20 19926 9149 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d8bb3905-0d1b-4e9c-b51b-34c6c1b8f824 true Curve Curve false 35901fda-4e60-460e-81fd-58f4d375b889 1 19866 9015 50 24 19891.94 9027.651 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 8bb21724-b5ab-4c5d-8522-0036b0c2d655 true Relay false 12c3ff7f-c7a5-4977-87fd-4c6ce7172c00 1 19867 13061 40 16 19887 13069 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true e8e405e1-9fd7-4b2f-8492-42e4914a5add true Curve Curve false 791bd61f-9221-4811-b56f-f55006c9145e 1 19313 13412 50 24 19338.95 13424.66 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 12c3ff7f-c7a5-4977-87fd-4c6ce7172c00 true Curve Curve false 0805e3ea-ca81-476f-8f09-75ffea26f153 1 19314 13130 50 24 19339.05 13142.99 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 6eb39311-76bc-4b52-b379-59dce48dc975 true Scale Scale 19257 13165 154 64 19341 13197 Base geometry 375cd25b-32ec-450e-a646-f6eb2204862e true Geometry Geometry true e8e405e1-9fd7-4b2f-8492-42e4914a5add 1 19259 13167 67 20 19302 13177 Center of scaling 98a041a7-1e39-4f11-81fd-e8e598e2a0e4 true Center Center false 0 19259 13187 67 20 19302 13197 1 1 {0} 0 0 0 Scaling factor 0ed445b8-2db3-43b5-8d9b-694a2750f7bb 2^X true Factor Factor false 9b841fa1-df46-463a-8a58-7dc4660c77b4 1 19259 13207 67 20 19302 13217 1 1 {0} 1 Scaled geometry 0805e3ea-ca81-476f-8f09-75ffea26f153 true Geometry Geometry false 0 19356 13167 53 30 19384 13182 Transformation data a7cb9079-9f92-409e-90e5-115f25528339 true Transform Transform false 0 19356 13197 53 30 19384 13212 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e8e405e1-9fd7-4b2f-8492-42e4914a5add 12c3ff7f-c7a5-4977-87fd-4c6ce7172c00 6eb39311-76bc-4b52-b379-59dce48dc975 27899f96-8899-44d3-a06c-50d23c4c5623 13a250a1-c6e1-4763-b3f9-f7ea33215370 9bd939f5-067b-4f26-9c7e-60f0adb96003 b922c8e6-1417-4a8c-b2b0-2708e9c7705e 2f3d75ed-fdc1-4bb4-8695-51c60c7bbe54 2838bbe3-f818-4f76-ae8b-6a38a11cfbd8 9 4a06d9c0-671b-49ff-ba68-a5f5191b1b9e Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true a0f9dc65-f5a3-4883-aeed-a4ec58d91bb1 true Move Move 19815 9053 138 44 19883 9075 Base geometry 4ca0a048-328b-4807-936c-3f6aeacd3454 true Geometry Geometry true d34026ca-4b70-4411-82cf-8d3ed999249a 1 19817 9055 51 20 19844 9065 Translation vector ae7956ac-24cd-4cea-95ce-cf0cfba344b0 true Motion Motion false e24f66c2-f6ca-429a-95a4-deeccf7adc0a 1 19817 9075 51 20 19844 9085 1 1 {0} 0 3 0 Translated geometry 35901fda-4e60-460e-81fd-58f4d375b889 true Geometry Geometry false 0 19898 9055 53 20 19926 9065 Transformation data fc1c27c4-9b3d-44ee-b46a-bc851e08693e true Transform Transform false 0 19898 9075 53 20 19926 9085 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 13a250a1-c6e1-4763-b3f9-f7ea33215370 true Digit Scroller false 0 12 2 30.9312132004 19214 13356 250 20 19214.35 13356.08 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 9bd939f5-067b-4f26-9c7e-60f0adb96003 true Panel false 0 0 16.93121320041889709 19271 13255 144 20 0 0 0 19271.51 13255.7 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true b922c8e6-1417-4a8c-b2b0-2708e9c7705e true Curve Curve false 0 19314 13087 50 24 19339.05 13099.99 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 2f3d75ed-fdc1-4bb4-8695-51c60c7bbe54 true Curve Curve false 0 19316 13544 50 24 19341 13556.83 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values fa30b30f-6f7c-4ed6-acde-9dbbcaf70ed6 true Panel false 0 0 0.00137956207 19673 13967 439 20 0 0 0 19673.92 13967.59 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2d143ea8-addf-4975-91d4-146b73c06ec6 true Panel false 0 99f0c403-5c3c-4e81-b678-a8b4ee8435d6 1 0.00032220000 0.00000220000 19674 14091 439 22 0 0 0 19674.23 14091.54 255;255;255;255 false false true false false true 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers a460b115-0803-4eaa-b18c-957c088fe725 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00007777700 19766 14232 251 20 19766.83 14232.95 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f310dda7-219b-4afc-b63d-f450feb7284e true Panel false 0 0 0.00137956207 19674 14213 439 20 0 0 0 19674.67 14213.11 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression 1/X true 32499351-f670-4091-8e63-39ea27a7ab45 true Expression 19855 14339 79 28 19897 14353 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable bcea45f1-482c-42ce-937e-213db9a291f6 true Variable X X true bce92ca7-1d60-4e27-af26-79f0474f4ef5 1 19857 14341 14 24 19865.5 14353 Result of expression 6e66f57e-38ab-4ebe-ba95-af421b37b6af true Result false 0 19923 14341 9 24 19929 14353 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true dedfe789-29c6-4593-af82-02f033f7153d true Point Point false 0ad98407-14cf-4326-a90c-2a3a2ff3f69e 1 19889 11866 50 24 19914.65 11878.67 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 0ad98407-14cf-4326-a90c-2a3a2ff3f69e true Relay false 4d442fde-c9e8-4f99-b4ac-7861aec8dcdf 1 19891 11913 40 16 19911 11921 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33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 144e85a6-d3ce-47fe-8a1a-7d156a859767 true Digit Scroller false 0 12 2 0.0000000000 19214 13317 250 20 19214.35 13317.08 c9785b8e-2f30-4f90-8ee3-cca710f82402 Entwine Flatten and combine a collection of data streams false true dc0e426b-b9a7-4d94-92f0-d62f8002d975 Entwine Entwine 9203 17229 97 124 9249 17291 6 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data to entwine 7c9f5ce2-858c-4de3-924a-a1011dec8c92 false Branch {0;x} {0;x} true d8bb3905-0d1b-4e9c-b51b-34c6c1b8f824 1 9205 17231 29 20 9221 17241 2 Data to entwine c05af972-e99a-45cb-a9e1-a98f916c8813 false Branch {1;x} {1;x} true 96935792-1ec1-4cd9-8dd4-9a092de6ad61 1 9205 17251 29 20 9221 17261 2 Data to entwine 1ec87050-1de2-43af-9c03-6f183c5cea90 false Branch {2;x} {2;x} true 8ad9374d-afcb-4796-84e7-8728425be2be 1 9205 17271 29 20 9221 17281 2 Data to entwine c2297492-abbe-4d4e-9bb9-93a085f2e432 false Branch {3;x} {3;x} true 992f34c0-9384-4928-b69f-b6f1ae913f03 1 9205 17291 29 20 9221 17301 2 Data to entwine 7f8bed9c-d634-4c4e-84f0-1c68d667b7e0 false Branch {4;x} {4;x} true c82a47b4-09f2-4505-bf49-68485889f195 1 9205 17311 29 20 9221 17321 2 Data to entwine c3da6f2f-ce07-46b3-96ac-e7b975d6ca47 false Branch {5;x} {5;x} true 9fc3eda7-d22b-4858-9e35-874868e02c53 1 9205 17331 29 20 9221 17341 Entwined result 2b7f9a30-5371-4790-99c4-557f50f3e7cc Result Result false 0 9264 17231 34 120 9282.5 17291 c9785b8e-2f30-4f90-8ee3-cca710f82402 Entwine Flatten and combine a collection of data streams false true dad23333-58bc-47be-89cf-b9b7b412e5d1 Entwine Entwine 3778 7694 97 64 3824 7726 3 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data to entwine 2101fbe4-84ca-4472-a576-20046da30653 false Branch {0;x} {0;x} true 2b7f9a30-5371-4790-99c4-557f50f3e7cc 1 3780 7696 29 20 3796 7706 2 Data to entwine f577a057-bff2-43e0-b17c-b257ad5f8cee false Branch {1;x} {1;x} true 6e1fc948-14e7-4b41-97c3-1b4c30c3d4c5 1 3780 7716 29 20 3796 7726 2 Data to entwine d7764439-037f-4f25-b8e5-938724ea539a false Branch {2;x} {2;x} true ce4203c6-5e7a-4fc1-bfda-d021414b51f1 1 3780 7736 29 20 3796 7746 Entwined result 105dd2da-6e8a-4d38-bd7f-08d0903e13f6 Result Result false 0 3839 7696 34 60 3857.5 7726 c9785b8e-2f30-4f90-8ee3-cca710f82402 Entwine Flatten and combine a collection of data streams false true ed33de67-8ff0-4087-b365-b29d723d2319 Entwine Entwine 15051 8520 97 184 15097 8612 9 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data to entwine 99b18844-0779-43db-a3bf-d98e2c6b20b9 false Branch {0;x} {0;x} true c86da1e9-be3c-4594-b203-2c288256aeb0 1 15053 8522 29 20 15069 8532 2 Data to entwine 80be7797-b883-4cd3-8f34-8500eb61a8f9 false Branch {1;x} {1;x} true 48833b67-abab-4685-b729-16d511f4b9ac 1 15053 8542 29 20 15069 8552 2 Data to entwine b719ae17-9f55-4120-8e96-bf70cce20dbd false Branch {2;x} {2;x} true 99805ebf-f622-48cc-a2b0-15df4edd0fe8 1 15053 8562 29 20 15069 8572 2 Data to entwine 8e61caf1-635b-4509-aded-62ab1ae78e68 false Branch {3;x} {3;x} true e9fafb6a-dcd6-496c-a636-30117cb488ef 1 15053 8582 29 20 15069 8592 2 Data to entwine 5ff17efd-a253-43aa-8698-49a3ecb84204 false Branch {4;x} {4;x} true d3694f49-88f8-4c69-a50e-2af49ddb9407 1 15053 8602 29 20 15069 8612 2 Data to entwine 5d5e12ff-28e1-4b66-893e-ccadfb6c38f5 false Branch {5;x} {5;x} true 4072dd5f-488b-48b1-bb99-6a919c99b6ec 1 15053 8622 29 20 15069 8632 2 Data to entwine 7566f03a-26ab-4488-a682-5f05ba24b1b8 false Branch {6;x} {6;x} true 03630ecd-8960-4a8e-b53c-5a4eb650a12c 1 15053 8642 29 20 15069 8652 2 Data to entwine 916249f1-1a94-4cd0-b3ee-d9cae630af32 false Branch {7;x} {7;x} true 8c30f270-d17e-4542-bcbc-8ff2320f35a6 1 15053 8662 29 20 15069 8672 2 Data to entwine 21d87065-8a2c-454f-8614-fae127c58cc5 false Branch {8;x} {8;x} true 0 15053 8682 29 20 15069 8692 Entwined result 8d85ed79-6ed8-4d27-9c33-f89d457338af Result Result false 0 15112 8522 34 180 15130.5 8612 c9785b8e-2f30-4f90-8ee3-cca710f82402 Entwine Flatten and combine a collection of data streams false true 224d22e6-a7e2-418c-ba07-3eb7e0fb409d Entwine Entwine 14761 8520 97 184 14807 8612 9 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data to entwine 8e932e24-2d87-48ee-adc3-5eecd7d7ef78 false Branch {0;x} {0;x} true 8fae6707-35c9-49ef-96bf-d5708e512f8c 1 14763 8522 29 20 14779 8532 2 Data to entwine b62581e1-76b8-4db0-b7dd-b0d6e4732fb0 false Branch {1;x} {1;x} true fe2bd48c-8bc7-431d-a3d5-89319eee1ab4 1 14763 8542 29 20 14779 8552 2 Data to entwine 363ba1ea-ba2a-4254-90cb-2385ee49e332 false Branch {2;x} {2;x} true 60ea54e2-64fe-495f-8b22-913d5a6247ca 1 14763 8562 29 20 14779 8572 2 Data to entwine 5fe926f2-364f-4181-a304-9ed7cdfe65ce false Branch {3;x} {3;x} true 289362ef-c456-475f-a4a5-7610e305e8d9 1 14763 8582 29 20 14779 8592 2 Data to entwine dbd3d019-9664-4155-89aa-80b6c30966e8 false Branch {4;x} {4;x} true ac94063c-4ea8-4bd7-a1d9-331c5dae31b4 1 14763 8602 29 20 14779 8612 2 Data to entwine aece1331-aba8-486b-a8fb-4b00e03518b0 false Branch {5;x} {5;x} true 1cc4ce65-802a-413c-851c-f786e9032630 1 14763 8622 29 20 14779 8632 2 Data to entwine 96540a03-2e8e-4ca9-a4b0-961b4c27bfb7 false Branch {6;x} {6;x} true 747334ba-25b6-4ffe-903e-79ffdb0809f9 1 14763 8642 29 20 14779 8652 2 Data to entwine 18a4644a-a025-4e1a-aad3-601157b20bc9 false Branch {7;x} {7;x} true e464e48a-068a-4ad2-882b-5575331b82f3 1 14763 8662 29 20 14779 8672 2 Data to entwine 12e00c45-3387-445e-81e6-a006f684f392 false Branch {8;x} {8;x} true 0 14763 8682 29 20 14779 8692 Entwined result a1e2b471-745e-4023-9189-ac09ee8be598 Result Result false 0 14822 8522 34 180 14840.5 8612 c9785b8e-2f30-4f90-8ee3-cca710f82402 Entwine Flatten and combine a collection of data streams false true a77683b6-1e49-482d-accc-1da4fe9291b0 Entwine Entwine 14954 8160 97 44 15000 8182 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data to entwine 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 4aecade4-b590-42ca-8247-560501df1ee2 1 64ea358c-3477-4f98-bb7c-5e4e1efd82bf Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9dcbefb3-0134-46c7-8863-745f439bb96f 1 06840b0d-0c52-49a7-8586-671841fce316 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1dd505f9-1f62-462f-bfc9-d4144bc263ff 7db4ea63-8dfc-43c1-bece-50feb8751fb7 c224342c-801f-4459-9224-44879ddf539f 394770c8-a55d-44a1-bdfc-7537a0bc9078 04ca1c72-0081-4151-ba68-441f33f8841a 1d0ff230-f658-4eea-95c1-9da330d41b9b b8fe0504-db69-4858-80dd-86315b6b76b4 bade2dc2-5919-4723-bde3-ebdd9bc0713a 5ac57098-caea-4564-a89f-ef7c20ef9db8 91eae3cb-dae0-470b-94cd-f3e2648c462c 06840b0d-0c52-49a7-8586-671841fce316 64ea358c-3477-4f98-bb7c-5e4e1efd82bf b9dc4289-1ec3-450b-a17d-340518a6c2f0 713ed1dd-ba3c-4484-8007-463b630d6092 d0bb098e-b480-4784-a2db-4d6927537b51 6c254cc7-4033-407f-adf4-b19baf050a44 881129bc-16dd-40c5-bf7f-c7572fda3282 3dcdc74d-0754-44f4-8ca2-53e9c12b222d 7489d841-818d-4101-a8f9-7fd7039ae220 9c19fb01-0e57-44a6-b876-c214968858f6 20 ba4a1feb-b523-490c-8a3f-4c305c8294b9 Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 1dd505f9-1f62-462f-bfc9-d4144bc263ff true Duplicate Data Duplicate Data 5870 14261 104 64 5929 14293 1 Data to duplicate dd844e52-8674-4feb-b4f7-00c98eca681d true Data Data false 0efddd5b-9711-41f1-81b1-e4da9556a186 1 5872 14263 42 20 5894.5 14273 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 3d65f6fe-f550-4b44-905b-e3c00e81b6f6 true Number Number false 29995541-45bf-46b5-b7e2-056a09aca62e 1 5872 14283 42 20 5894.5 14293 1 1 {0} 500 Retain list order 6f9ddcf5-0f5e-4105-866c-069982ca5dcf true Order Order false 0 5872 14303 42 20 5894.5 14313 1 1 {0} true 1 Duplicated data 365f49ff-011e-46f6-9912-181349fefd8b true Data Data false 0 5944 14263 28 60 5959.5 14293 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 7db4ea63-8dfc-43c1-bece-50feb8751fb7 true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 5856 12333 116 44 5917 12355 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward dc7f8148-52f9-4331-a424-4f03e7c5f0ef true Forward Forward true 1 true 365f49ff-011e-46f6-9912-181349fefd8b 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 5858 12335 44 20 5881.5 12345 1 false Script Variable Left 33f8ebc1-0de5-4f15-ba21-b44b08040f4a true Left Left true 1 true 4ebb94c8-ee9c-49e1-9f2b-d25de3e882c2 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 5858 12355 44 20 5881.5 12365 Print, Reflect and Error streams ec293403-12d3-40cf-86b1-bacb92f634fd true Output Output false 0 5932 12335 38 20 5952.5 12345 Output parameter Points 01bc5e62-d096-4f62-98a1-30ad9e556956 true Points Points false 0 5932 12355 38 20 5952.5 12365 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 394770c8-a55d-44a1-bdfc-7537a0bc9078 true Series Series 5867 13590 101 64 5917 13622 First number in the series 46342110-9a7a-45cd-8b36-72628ca704ea true Start Start false 0 5869 13592 33 20 5887 13602 1 1 {0} 0 Step size for each successive number 8469b369-1189-48b2-8a90-2d0f75eb4261 true Step Step false f1dae086-0eb4-42a5-9d3d-6e0209aa7e07 1 5869 13612 33 20 5887 13622 1 1 {0} 1 Number of values in the series bde4f760-3e2a-4761-80f3-a83bf4530f0d true Count Count false 29995541-45bf-46b5-b7e2-056a09aca62e 1 5869 13632 33 20 5887 13642 1 Series of numbers b37e1d0b-abaa-4548-a8df-b35440ba7c04 true Series Series false 0 5932 13592 34 60 5950.5 13622 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 04ca1c72-0081-4151-ba68-441f33f8841a true Number Slider false 0 5854 14491 150 20 5854.137 14491.02 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 1d0ff230-f658-4eea-95c1-9da330d41b9b true Radians Radians 5863 13807 120 28 5924 13821 Angle in degrees f4a4b4a4-c3f1-4bac-aae2-a3d3880a5944 true Degrees Degrees false 2d9e9ed7-5b0d-4a60-8faf-5f95198768de 1 5865 13809 44 24 5888.5 13821 Angle in radians 711bca00-e1e4-4e9a-8633-2c096c3a9a2a true Radians Radians false 0 5939 13809 42 24 5961.5 13821 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers b8fe0504-db69-4858-80dd-86315b6b76b4 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 5792 14115 251 20 5792.296 14115.24 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true 91eae3cb-dae0-470b-94cd-f3e2648c462c true Interpolate (t) Interpolate (t) 5842 11568 144 84 5928 11610 1 Interpolation points 14003dce-b190-4278-b58d-1024ebe07d0a true Vertices Vertices false e654b44d-372f-4d5e-aa76-bc0c6662276d 1 5844 11570 69 20 5880 11580 Tangent at start of curve 4bd5e2d1-7a7f-44aa-8dcf-b5fdea91980f true Tangent Start Tangent Start false 0 5844 11590 69 20 5880 11600 1 1 {0} 0.0625 0 0 Tangent at end of curve 8bfe403d-8507-4952-9320-8c7ed84904ea true Tangent End Tangent End false 0 5844 11610 69 20 5880 11620 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) f7890425-fed7-4af4-a13b-4c2623ca405f true KnotStyle KnotStyle false 0 5844 11630 69 20 5880 11640 1 1 {0} 2 Resulting nurbs curve 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c true Curve Curve false 0 5943 11570 41 26 5965 11583.33 Curve length 117e23b0-c0b7-4138-bf09-04ba2c57f466 true Length Length false 0 5943 11596 41 27 5965 11610 Curve domain c8d55e04-f718-4ea6-b2a9-d50f9dc4b79b true Domain Domain false 0 5943 11623 41 27 5965 11636.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1dd505f9-1f62-462f-bfc9-d4144bc263ff 7db4ea63-8dfc-43c1-bece-50feb8751fb7 c224342c-801f-4459-9224-44879ddf539f 394770c8-a55d-44a1-bdfc-7537a0bc9078 04ca1c72-0081-4151-ba68-441f33f8841a 1d0ff230-f658-4eea-95c1-9da330d41b9b b8fe0504-db69-4858-80dd-86315b6b76b4 bade2dc2-5919-4723-bde3-ebdd9bc0713a f1b2d74a-41f2-4126-a4b7-21cf28684074 4cc94c30-fc6b-4bd2-a5e4-e5c9c951d2f7 29d4cf3b-7477-4cab-a366-51f758a004e0 98616d02-198c-4e07-8bfb-0db902628d0e 0b43c670-fa3c-4718-87ba-1a1a10682542 defe06db-53c0-489d-8e74-07f2ca6cbc47 3e304865-e3aa-4211-aa15-e64db0b27c11 feaa39ca-d99d-41fd-af1d-773431ac104a 16 5ac57098-caea-4564-a89f-ef7c20ef9db8 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true ba363370-f128-492d-830e-feb1a19aa304 true Evaluate Length Evaluate Length 5842 11400 144 64 5916 11432 Curve to evaluate d0e53521-7cfd-4253-abe5-296951c29fea true Curve Curve false 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c 1 5844 11402 57 20 5874 11412 Length factor for curve evaluation 5869015e-a801-4980-aec8-46eb834d6079 true Length Length false 0 5844 11422 57 20 5874 11432 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) c593ea0e-dc72-4d8c-8e6d-055fbbf6c6bd true Normalized Normalized false 0 5844 11442 57 20 5874 11452 1 1 {0} true Point at the specified length f0b85611-809b-4f5c-aa01-f6b65c3de244 true Point Point false 0 5931 11402 53 20 5959 11412 Tangent vector at the specified length be7f8dc9-b750-4bed-b063-519ef6eaf63f true Tangent Tangent false 0 5931 11422 53 20 5959 11432 Curve parameter at the specified length e433e1d1-80d5-4bec-af5a-8ecd1b825094 true Parameter Parameter false 0 5931 11442 53 20 5959 11452 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true ab754ebe-3054-4d4c-a815-c27c8f61646b true Mirror Mirror 5845 11338 138 44 5913 11360 Base geometry c06378b7-d974-4f19-b2cb-bcf3d14ac0e5 true Geometry Geometry true 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c 1 5847 11340 51 20 5874 11350 Mirror plane f87dc1e6-5157-45a4-aed1-3e06cdebdd25 true Plane Plane false 51be0673-1c67-4e26-9963-994496126b95 1 5847 11360 51 20 5874 11370 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 7b8794c1-b46d-47cd-9982-f14638a474ad true Geometry Geometry false 0 5928 11340 53 20 5956 11350 Transformation data ee607dc7-9bde-4340-9451-56b44b39720e true Transform Transform false 0 5928 11360 53 20 5956 11370 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true eaf90b89-c250-4879-864d-f0c63882a936 true Line SDL Line SDL 5861 11484 106 64 5925 11516 Line start point 256520d1-cec3-42d5-8837-e7250b75dd88 true Start Start false f0b85611-809b-4f5c-aa01-f6b65c3de244 1 5863 11486 47 20 5888 11496 Line tangent (direction) fadda13f-1a50-4c39-8357-7da8fd89e7d8 true Direction Direction false be7f8dc9-b750-4bed-b063-519ef6eaf63f 1 5863 11506 47 20 5888 11516 1 1 {0} 0 0 1 Line length 02e926a2-f97e-4d3c-bdeb-4cbd346b1377 true Length Length false 0 5863 11526 47 20 5888 11536 1 1 {0} 1 Line segment 51be0673-1c67-4e26-9963-994496126b95 true Line Line false 0 5940 11486 25 60 5954 11516 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true b0a75fb1-6343-41f7-bc90-a0d060f70c69 true Join Curves Join Curves 5855 11276 118 44 5918 11298 1 Curves to join 18f96d0b-0968-468e-ad76-15eec3653fa1 true Curves Curves false 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c 7b8794c1-b46d-47cd-9982-f14638a474ad 2 5857 11278 46 20 5881.5 11288 Preserve direction of input curves b3d25528-5b0b-4f9d-89a7-454c05a34433 true Preserve Preserve false 0 5857 11298 46 20 5881.5 11308 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 84b113a4-36ae-4d72-a1f4-38425ac3c351 true Curves Curves false 0 5933 11278 38 40 5953.5 11298 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true d1c4e0e8-ccaf-4b85-b9f6-95fce9375b3d true Evaluate Length Evaluate Length 5842 11192 144 64 5916 11224 Curve to evaluate f8864a75-12f1-49f9-aaec-674cd04ccec6 true Curve Curve false 84b113a4-36ae-4d72-a1f4-38425ac3c351 1 5844 11194 57 20 5874 11204 Length factor for curve evaluation 791650d5-583f-4037-9eff-9de57c7e02ae true Length Length false 0 5844 11214 57 20 5874 11224 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 2e878f5b-6d4f-4246-8ec1-42abde650614 true Normalized Normalized false 0 5844 11234 57 20 5874 11244 1 1 {0} true Point at the specified length d42d500d-09a5-42de-85f9-5f46102e5afb true Point Point false 0 5931 11194 53 20 5959 11204 Tangent vector at the specified length 03523f6b-69f2-47f8-8f4e-941913fd3a50 true Tangent Tangent false 0 5931 11214 53 20 5959 11224 Curve parameter at the specified length 8e8fddfa-eec6-477a-8d55-daa01b73a773 true Parameter Parameter false 0 5931 11234 53 20 5959 11244 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 1b4817d5-9d8a-4718-bd91-db6d602e09e0 true Rotate Rotate 5845 11109 138 64 5913 11141 Base geometry bb159ef4-97b8-4828-b5ef-1f39bf6db0a2 true Geometry Geometry true 84b113a4-36ae-4d72-a1f4-38425ac3c351 1 5847 11111 51 20 5874 11121 Rotation angle in radians 26baf301-a89e-4c3e-a845-e717cbbef6c5 true Angle Angle false 0 false 5847 11131 51 20 5874 11141 1 1 {0} 3.1415926535897931 Rotation plane f86fc98a-5729-4f4f-8428-27c853441eab true Plane Plane false d42d500d-09a5-42de-85f9-5f46102e5afb 1 5847 11151 51 20 5874 11161 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry a9bd0ca2-3899-42d7-8413-d314a63078ea true Geometry Geometry false 0 5928 11111 53 30 5956 11126 Transformation data b018420a-9fb6-4f5e-96db-b597eea1bc7e true Transform Transform false 0 5928 11141 53 30 5956 11156 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 43a88045-2414-49bd-a639-25a54fbc3406 true Join Curves Join Curves 5855 11046 118 44 5918 11068 1 Curves to join c25f19b2-7d85-4d79-a4be-f9e05a14cf3e true Curves Curves false 84b113a4-36ae-4d72-a1f4-38425ac3c351 a9bd0ca2-3899-42d7-8413-d314a63078ea 2 5857 11048 46 20 5881.5 11058 Preserve direction of input curves d0fdd647-5388-48dc-9213-e3f5c2d6e5e1 true Preserve Preserve false 0 5857 11068 46 20 5881.5 11078 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 9812b233-b663-4f90-9a4e-aefbd47045fe true Curves Curves false 0 5933 11048 38 40 5953.5 11068 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 91eae3cb-dae0-470b-94cd-f3e2648c462c ba363370-f128-492d-830e-feb1a19aa304 ab754ebe-3054-4d4c-a815-c27c8f61646b eaf90b89-c250-4879-864d-f0c63882a936 b0a75fb1-6343-41f7-bc90-a0d060f70c69 d1c4e0e8-ccaf-4b85-b9f6-95fce9375b3d 1b4817d5-9d8a-4718-bd91-db6d602e09e0 43a88045-2414-49bd-a639-25a54fbc3406 cea169d3-2136-4eb6-9143-f0bebe47c986 25aa5733-be81-4880-a0cb-342eaf97bb70 5f265745-6ca0-49fb-a2cc-9640c03fedfc e654b44d-372f-4d5e-aa76-bc0c6662276d 15cea472-84f0-43d6-adb5-ebab1513851b a76219c7-98a0-4832-8b36-314f51be2052 786183f9-8f91-45b1-ba10-5f602200fca4 15 9dcbefb3-0134-46c7-8863-745f439bb96f Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values dd1a655d-bc03-44ab-a804-e71acd0a147b true Panel false 0 2ee04134-7a7d-45ac-8bdc-7f096216c746 1 Double click to edit panel content… 5845 13681 145 20 0 0 0 5845.325 13681.46 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true cea169d3-2136-4eb6-9143-f0bebe47c986 true Curve Curve false 9812b233-b663-4f90-9a4e-aefbd47045fe 1 5893 11009 50 24 5918.904 11021.04 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects cea169d3-2136-4eb6-9143-f0bebe47c986 1 a5b2ba25-ba64-438e-9c05-fc5c8987ddf0 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4cc94c30-fc6b-4bd2-a5e4-e5c9c951d2f7 true Panel false 0 0 0.35721403168191375/4/4 5698 13886 439 20 0 0 0 5698.886 13886.15 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true a6b9e29a-03b9-47b8-82a5-1d0124f6e72e true Evaluate Length Evaluate Length 5842 10920 144 64 5916 10952 Curve to evaluate 82da40f5-15f0-4cbf-a6f5-189ce60fce05 true Curve Curve false 9812b233-b663-4f90-9a4e-aefbd47045fe 1 5844 10922 57 20 5874 10932 Length factor for curve evaluation bb3037c5-d8e9-4462-91b0-e00ff4b5a0ce true Length Length false 0 5844 10942 57 20 5874 10952 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 9ae0edb6-0813-496b-9d21-e79219f06e93 true Normalized Normalized false 0 5844 10962 57 20 5874 10972 1 1 {0} true Point at the specified length 245e6630-3216-4dd4-b1cd-9293f469556d true Point Point false 0 5931 10922 53 20 5959 10932 Tangent vector at the specified length 26c5134f-1a93-4191-9048-9cccb80b9208 true Tangent Tangent false 0 5931 10942 53 20 5959 10952 Curve parameter at the specified length f2641e59-05bc-4a6b-a249-613bfae72b76 true Parameter Parameter false 0 5931 10962 53 20 5959 10972 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 38f7b830-0b74-4d07-a880-de3308df725b true Expression Expression 5817 10698 194 28 5917 10712 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 793225a2-6e7d-4418-b11c-40be35acbd4b true Variable O O true 7c45c41e-5a18-424d-8fb3-83818f2b21bc 1 5819 10700 14 24 5827.5 10712 Result of expression 485c687d-e506-40e3-87ba-5238b204da66 true Result false 0 6000 10700 9 24 6006 10712 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 67412c77-dace-4fae-82af-cee39c99c806 true Deconstruct Deconstruct 5848 10832 132 64 5895 10864 Input point 6d35a566-4b74-4740-841a-ee179d0f580c true Point Point false 245e6630-3216-4dd4-b1cd-9293f469556d 1 5850 10834 30 60 5866.5 10864 Point {x} component 7c45c41e-5a18-424d-8fb3-83818f2b21bc true X component X component false 0 5910 10834 68 20 5945.5 10844 Point {y} component 6ed4bd9d-bb91-4452-a9fe-9a2ff0e94f0e true Y component Y component false 0 5910 10854 68 20 5945.5 10864 Point {z} component 7e2137ea-db72-453e-a5da-70cdffc38919 true Z component Z component false 0 5910 10874 68 20 5945.5 10884 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 477cb8b4-b9fe-4077-afab-c5588b570340 true Panel false 0 485c687d-e506-40e3-87ba-5238b204da66 1 Double click to edit panel content… 5837 10674 160 20 0 0 0 5837.674 10674.62 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 57dc0514-58a2-4f8b-905d-b0580f8a2a6a true Expression Expression 5817 10612 194 28 5917 10626 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 855c1afb-4cb1-4286-8ddf-1e0a5171dfae true Variable O O true 6ed4bd9d-bb91-4452-a9fe-9a2ff0e94f0e 1 5819 10614 14 24 5827.5 10626 Result of expression 5260cb9b-cb50-4a0b-8403-c1a0271bfa67 true Result false 0 6000 10614 9 24 6006 10626 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 5f998c1f-bda3-402c-8f46-2f3f0d774770 true Panel false 0 5260cb9b-cb50-4a0b-8403-c1a0271bfa67 1 Double click to edit panel content… 5837 10586 160 20 0 0 0 5837.674 10586.19 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 5181c4d3-fad3-4b64-a469-2225cbebbf0f true Division Division 5873 10510 82 44 5904 10532 Item to divide (dividend) 37926542-2cc1-4f09-8d11-67527b9ae333 true A A false 477cb8b4-b9fe-4077-afab-c5588b570340 1 5875 10512 14 20 5883.5 10522 Item to divide with (divisor) e91e4877-5211-418d-9e3e-46bbf3a7788f true B B false 5f998c1f-bda3-402c-8f46-2f3f0d774770 1 5875 10532 14 20 5883.5 10542 The result of the Division 69ed6fd3-5616-40ab-8a6f-525dfdea1e18 true Result Result false 0 5919 10512 34 40 5937.5 10532 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values fbeef7d7-c4e7-4e64-b15f-550ed822ceaa true Panel false 0 2ee04134-7a7d-45ac-8bdc-7f096216c746 1 Double click to edit panel content… 5837 10438 160 20 0 0 0 5837.914 10438.68 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true bbf474f2-ec45-461b-bfeb-6dcd3af5bbe2 true Expression Expression 5817 10463 194 28 5917 10477 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable ab64710f-446e-4a45-afcd-5315cbf382ee true Variable O O true 69ed6fd3-5616-40ab-8a6f-525dfdea1e18 1 5819 10465 14 24 5827.5 10477 Result of expression e4c1d5bf-53c0-46d3-8134-60dff954624d true Result false 0 6000 10465 9 24 6006 10477 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2ee04134-7a7d-45ac-8bdc-7f096216c746 true Relay false e4c1d5bf-53c0-46d3-8134-60dff954624d 1 5894 10388 40 16 5914 10396 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 5717f3e7-ea4d-49b6-9633-1dad7656910f true Addition Addition 5873 10325 82 44 5904 10347 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition dee754ee-32c1-4684-a8ab-59d5c4131b0a true A A true 5f998c1f-bda3-402c-8f46-2f3f0d774770 1 5875 10327 14 20 5883.5 10337 Second item for addition facfa311-a692-4f2f-b2b9-9fd8f0f5f083 true B B true 477cb8b4-b9fe-4077-afab-c5588b570340 1 5875 10347 14 20 5883.5 10357 Result of addition 17d7802c-3231-45db-8bad-4ab3cdc949d3 true Result Result false 0 5919 10327 34 40 5937.5 10347 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 2635d566-5971-4fd9-8fb1-8c6434054c57 true Division Division 5873 10175 82 44 5904 10197 Item to divide (dividend) b50e3108-f1b1-4296-96a2-69de37f73e68 true A A false 3f6cc10b-e201-4db6-b980-be1efed2e10c 1 5875 10177 14 20 5883.5 10187 Item to divide with (divisor) bc18661a-66bb-48df-a404-51d3f880d78c true B B false 0 5875 10197 14 20 5883.5 10207 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 5fe6a977-f424-4434-a7d8-c8461640d5be true Result Result false 0 5919 10177 34 40 5937.5 10197 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 880dd377-9f15-4147-8cbd-1aef7e6c14cb true Expression Expression 5817 10127 194 28 5917 10141 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 52a9f66f-0f50-4489-ac33-49e4095fce0c true Variable O O true 5fe6a977-f424-4434-a7d8-c8461640d5be 1 5819 10129 14 24 5827.5 10141 Result of expression 655983b5-5a6c-4df5-acae-eb12f7280409 true Result false 0 6000 10129 9 24 6006 10141 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d2bb97e6-5e05-41ee-8886-54d3eb49ff8c true Panel false 0 655983b5-5a6c-4df5-acae-eb12f7280409 1 Double click to edit panel content… 5837 10102 160 20 0 0 0 5837.674 10102.54 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3f6cc10b-e201-4db6-b980-be1efed2e10c true Panel false 0 39579052-c6b4-4c93-80ce-037b62f23d4b 1 Double click to edit panel content… 5837 10254 160 20 0 0 0 5837.674 10254.45 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true dbcbb931-46fc-45e7-a319-ae473feb5fb6 true Expression Expression 5817 10278 194 28 5917 10292 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable a9b030fa-55b8-43f4-900e-f487442c1fce true Variable O O true 17d7802c-3231-45db-8bad-4ab3cdc949d3 1 5819 10280 14 24 5827.5 10292 Result of expression 39579052-c6b4-4c93-80ce-037b62f23d4b true Result false 0 6000 10280 9 24 6006 10292 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 595a16aa-a623-4afb-9fa9-0c2a6554fab3 true Scale Scale 5837 10004 154 64 5921 10036 Base geometry f730c55d-cc18-472d-90e0-fbe683dd46d4 true Geometry Geometry true cea169d3-2136-4eb6-9143-f0bebe47c986 1 5839 10006 67 20 5882 10016 Center of scaling d2d94511-bf63-4eef-b617-f38d21c8cff1 true Center Center false 0 5839 10026 67 20 5882 10036 1 1 {0} 0 0 0 Scaling factor e93b3d91-a1eb-431e-95a6-3452eee944b6 1/X true Factor Factor false d2bb97e6-5e05-41ee-8886-54d3eb49ff8c 1 5839 10046 67 20 5882 10056 1 1 {0} 0.5 Scaled geometry 5c7bc850-4efc-4a25-89d1-a7f544642a5a true Geometry Geometry false 0 5936 10006 53 30 5964 10021 Transformation data 6c9d6dd4-37b0-44b3-b2c1-2d5e463b712c true Transform Transform false 0 5936 10036 53 30 5964 10051 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d4034eaa-4c6f-4be1-b330-6f528bb505ca true Curve Curve false 5c7bc850-4efc-4a25-89d1-a7f544642a5a 1 5891 9408 50 24 5916.654 9420.042 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0a05fac0-c8d8-43a2-a7e4-98ca2a43fd3e true Expression Expression 5817 10785 194 28 5917 10799 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 071e3512-484c-405f-a7d5-0b6c3a2699af true Variable O O true 7e2137ea-db72-453e-a5da-70cdffc38919 1 5819 10787 14 24 5827.5 10799 Result of expression d19e00b6-4210-4d29-904c-9857c2acd768 true Result false 0 6000 10787 9 24 6006 10799 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4d04e408-b736-49af-ba17-6ef9f5caf118 true Panel false 0 d19e00b6-4210-4d29-904c-9857c2acd768 1 Double click to edit panel content… 5838 10760 160 20 0 0 0 5838.544 10760.39 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 746e201b-3cd6-4d10-b224-d960a31ec2a8 true Evaluate Length Evaluate Length 5842 9794 144 64 5916 9826 Curve to evaluate 0b388908-79e0-422a-acfb-e3716a997e56 true Curve Curve false 5c7bc850-4efc-4a25-89d1-a7f544642a5a 1 5844 9796 57 20 5874 9806 Length factor for curve evaluation 63aea307-a4fd-4052-91f2-5ec4c0d27f98 true Length Length false 0 5844 9816 57 20 5874 9826 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 63d8e104-36e0-487a-9b4f-6d7885afd3cd true Normalized Normalized false 0 5844 9836 57 20 5874 9846 1 1 {0} true Point at the specified length 7afcb608-1a5b-4b10-aa61-b40f3386872d true Point Point false 0 5931 9796 53 20 5959 9806 Tangent vector at the specified length e9b998a4-de4d-4586-a377-3bb36a701a2f true Tangent Tangent false 0 5931 9816 53 20 5959 9826 Curve parameter at the specified length 01c186a4-f8e6-4f48-b8cd-f80998ca3d91 true Parameter Parameter false 0 5931 9836 53 20 5959 9846 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 222f140c-0c81-4713-9a94-baade26783d5 true Expression Expression 5817 9577 194 28 5917 9591 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable b58c66f8-7aac-469e-a871-f3d3ff6e68d5 true Variable O O true ca99489c-2cde-43ca-8485-36d64dc570fd 1 5819 9579 14 24 5827.5 9591 Result of expression cd848b5e-7988-46d1-8da5-52ba92f70fd4 true Result false 0 6000 9579 9 24 6006 9591 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true a9a50160-2135-485b-ac32-52b8c1b384ee true Deconstruct Deconstruct 5848 9711 132 64 5895 9743 Input point fe3578bd-1540-4815-a219-d5affc118fc4 true Point Point false 7afcb608-1a5b-4b10-aa61-b40f3386872d 1 5850 9713 30 60 5866.5 9743 Point {x} component ca99489c-2cde-43ca-8485-36d64dc570fd true X component X component false 0 5910 9713 68 20 5945.5 9723 Point {y} component dbabc110-68d0-4ecc-a91a-4b3f56dbc86e true Y component Y component false 0 5910 9733 68 20 5945.5 9743 Point {z} component eea51cec-5af8-42fa-ab25-c4e1ee89e0cb true Z component Z component false 0 5910 9753 68 20 5945.5 9763 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 62256d2e-c48e-4b7a-a805-dc7290e82c4d true Panel false 0 cd848b5e-7988-46d1-8da5-52ba92f70fd4 1 Double click to edit panel content… 5837 9547 160 20 0 0 0 5837.924 9547.962 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3e0381b1-812d-42f5-a1a6-397345b410dd true Expression Expression 5817 9491 194 28 5917 9505 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 1d9efd19-b810-4aad-8823-e73fe8fed096 true Variable O O true dbabc110-68d0-4ecc-a91a-4b3f56dbc86e 1 5819 9493 14 24 5827.5 9505 Result of expression f4471e9a-ea1b-4783-9be8-5b29bacd971e true Result false 0 6000 9493 9 24 6006 9505 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ebb748fc-509d-4020-9ad1-9e68a19ea81a true Panel false 0 f4471e9a-ea1b-4783-9be8-5b29bacd971e 1 Double click to edit panel content… 5837 9462 160 20 0 0 0 5837.935 9462.333 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 7944bb81-2034-4762-8159-672c0a0301da true Expression Expression 5817 9663 194 28 5917 9677 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2bc32946-2fa2-4c5e-ad26-3ef542c5b105 true Variable O O true eea51cec-5af8-42fa-ab25-c4e1ee89e0cb 1 5819 9665 14 24 5827.5 9677 Result of expression 55204a19-f2d6-430e-aeb3-db67fb7f53ca true Result false 0 6000 9665 9 24 6006 9677 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values dbac1d13-b64b-46a7-86d5-a6454cd89990 true Panel false 0 55204a19-f2d6-430e-aeb3-db67fb7f53ca 1 Double click to edit panel content… 5837 9634 160 20 0 0 0 5837.674 9634.173 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 29d4cf3b-7477-4cab-a366-51f758a004e0 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 5736 13968 379 104 0 0 0 5736.33 13968.62 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7489d841-818d-4101-a8f9-7fd7039ae220 true Panel false 0 b645c4bc-9d9b-4874-8ec9-27fad2893d18 1 Double click to edit panel content… 5749 11997 337 276 0 0 0 5749.865 11997.96 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 9c19fb01-0e57-44a6-b876-c214968858f6 true Expression Expression 5817 12285 194 28 5917 12299 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 1fb86dc7-7ae3-4bb6-b34f-ef5889054291 true Variable O O true 01bc5e62-d096-4f62-98a1-30ad9e556956 1 5819 12287 14 24 5827.5 12299 Result of expression b645c4bc-9d9b-4874-8ec9-27fad2893d18 true Result false 0 6000 12287 9 24 6006 12299 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 29995541-45bf-46b5-b7e2-056a09aca62e true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 5896 14460 50 24 5921.531 14472.8 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true b9dc4289-1ec3-450b-a17d-340518a6c2f0 true Curve Graph Mapper Curve Graph Mapper 5745 12567 160 224 5813 12679 1 One or multiple graph curves to graph map values with 32d6541c-6408-46b0-a7ef-3bf06d4f6142 true Curves Curves false a2ddecae-b510-4bde-a13c-a6778c2b7983 1 5747 12569 51 27 5774 12582.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary f9baf45b-88b0-455d-93c3-b3926ac5a47e true Rectangle Rectangle false fbce522b-808a-4e01-b628-2d36e3a39178 1 5747 12596 51 28 5774 12610.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 606e2f95-e48a-40a2-adf9-89ca6af5981f true Values Values false b37e1d0b-abaa-4548-a8df-b35440ba7c04 1 5747 12624 51 27 5774 12637.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 4792c775-c135-4b3c-b6f9-c3d1de04bc44 true X Axis X Axis true 0 5747 12651 51 28 5774 12665.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) e93b32ff-373a-4fdf-b68c-f3f111b9e178 true Y Axis Y Axis true 0 5747 12679 51 27 5774 12692.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 4722c34a-c7f1-4f41-93fa-dd5de1ddd522 true Flip Flip false 0 5747 12706 51 28 5774 12720.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 1e76bda1-440a-4b7f-81b2-986994e1f4ac true Snap Snap false 0 5747 12734 51 27 5774 12747.75 1 1 {0} true Size of the graph labels 4f5d6bea-fe90-4a82-a30c-c1ff3d880362 true Text Size Text Size false 0 5747 12761 51 28 5774 12775.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 182e6756-dbe1-445b-b63e-b4e763b846d2 true Mapped Mapped false 0 5828 12569 75 20 5867 12579 1 The graph curves inside the boundary of the graph 2f4cf36c-da50-4871-bb23-2cf39032f6d0 true Graph Curves Graph Curves false 0 5828 12589 75 20 5867 12599 1 The points on the graph curves where the X Axis input values intersected true 67e243a0-9c79-4cf9-867b-fd7a8223b5bb true Graph Points Graph Points false 0 5828 12609 75 20 5867 12619 1 The lines from the X Axis input values to the graph curves true 253e7abe-516a-4b5f-964e-7cd9034bf068 true Value Lines Value Lines false 0 5828 12629 75 20 5867 12639 1 The points plotted on the X Axis which represent the input values true e926acac-330d-4c65-919d-d8c44003cdaf true Value Points Value Points false 0 5828 12649 75 20 5867 12659 1 The lines from the graph curves to the Y Axis graph mapped values true 0e937535-972d-49f0-ba64-31842e5b9511 true Mapped Lines Mapped Lines false 0 5828 12669 75 20 5867 12679 1 The points mapped on the Y Axis which represent the graph mapped values true 9b998ae6-f2df-4c33-8ee1-323c54087441 true Mapped Points Mapped Points false 0 5828 12689 75 20 5867 12699 The graph boundary background as a surface a547d1bc-cea7-4a2f-bdee-a517455cc879 true Boundary Boundary false 0 5828 12709 75 20 5867 12719 1 The graph labels as curve outlines 4563af42-7f5f-49f1-9b58-076ad24c33dc true Labels Labels false 0 5828 12729 75 20 5867 12739 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds 88f68fbc-71e3-4f2f-9d8b-955ca7c852a2 true Out Of Bounds Out Of Bounds false 0 5828 12749 75 20 5867 12759 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 05211d5f-978e-4d62-bda8-e42e2c9d662a true Intersected Intersected false 0 5828 12769 75 20 5867 12779 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 713ed1dd-ba3c-4484-8007-463b630d6092 true End Points End Points 5866 12992 96 44 5916 13014 Curve to evaluate aea9f626-3da0-429c-a2b4-fe51089d24b9 true Curve Curve false a2ddecae-b510-4bde-a13c-a6778c2b7983 1 5868 12994 33 40 5886 13014 Curve start point 65bae426-5e17-4d4a-b597-cd6f3232f590 true Start Start false 0 5931 12994 29 20 5947 13004 Curve end point f1cfd79e-7012-45b9-9c67-010726f6ccc2 true End End false 0 5931 13014 29 20 5947 13024 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true d0bb098e-b480-4784-a2db-4d6927537b51 true Rectangle 2Pt Rectangle 2Pt 5851 12890 126 84 5909 12932 Rectangle base plane 66726f7e-8dd7-422b-b0a1-d4b1f9efaf56 true Plane Plane false 0 5853 12892 41 20 5875 12902 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. fb377aff-64f2-4c63-b144-673fa5fb318b true Point A Point A false 65bae426-5e17-4d4a-b597-cd6f3232f590 1 5853 12912 41 20 5875 12922 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 3d92733c-76d9-4666-9bf2-7eb4b6479dae true Point B Point B false f1cfd79e-7012-45b9-9c67-010726f6ccc2 1 5853 12932 41 20 5875 12942 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 1ef35318-2b34-40b0-aac4-39054c03b5a6 true Radius Radius false 0 5853 12952 41 20 5875 12962 1 1 {0} 0 Rectangle defined by P, A and B fbce522b-808a-4e01-b628-2d36e3a39178 true Rectangle Rectangle false 0 5924 12892 51 40 5951 12912 Length of rectangle curve 936d84ad-70d2-4c7b-9b60-e73067350e28 true Length Length false 0 5924 12932 51 40 5951 12952 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true 6c254cc7-4033-407f-adf4-b19baf050a44 true GraphMapper+ GraphMapper+ true 5905 12687 126 104 5972 12739 External curve as a graph 25c65aed-aba1-4f3e-a1ee-42f2c644a105 true Curve Curve false a2ddecae-b510-4bde-a13c-a6778c2b7983 1 5907 12689 50 20 5933.5 12699 Optional Rectangle boundary. If omitted the curve's would be landed 76aaa4e5-1b5c-4f8b-93bc-1d8b63359864 true Boundary Boundary true fbce522b-808a-4e01-b628-2d36e3a39178 1 5907 12709 50 20 5933.5 12719 1 List of input numbers 61d6b9c5-67fd-4efb-8f53-165917c4d7ac true Numbers Numbers false b37e1d0b-abaa-4548-a8df-b35440ba7c04 1 5907 12729 50 20 5933.5 12739 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 6efeeb86-181f-46e8-8e04-bf2bc2fbc8d7 true Input Input true 7ec45eea-d71b-4e9c-b409-4a968132f79d 1 5907 12749 50 20 5933.5 12759 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 15e24b2d-524c-4ad7-b733-8a40932d9d18 true Output Output true 7ec45eea-d71b-4e9c-b409-4a968132f79d 1 5907 12769 50 20 5933.5 12779 1 Output Numbers 88325158-59bf-4c2c-bc69-0d798de17f6c true Number Number false 0 5987 12689 42 100 6009.5 12739 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 881129bc-16dd-40c5-bf7f-c7572fda3282 true Stream Filter Stream Filter 5880 12484 89 64 5925 12516 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 8d3fbb9c-6e24-4a47-ba2f-fba4ff65e024 true Gate Gate false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 5882 12486 28 20 5897.5 12496 1 1 {0} 0 2 Input stream at index 0 01f240ea-0277-49c1-b60f-c84515115e1d true false Stream 0 0 true 182e6756-dbe1-445b-b63e-b4e763b846d2 1 5882 12506 28 20 5897.5 12516 2 Input stream at index 1 27fdf3b3-d73a-4740-a202-9f3ec68ebde3 true false Stream 1 1 true 88325158-59bf-4c2c-bc69-0d798de17f6c 1 5882 12526 28 20 5897.5 12536 2 Filtered stream 4ebb94c8-ee9c-49e1-9f2b-d25de3e882c2 true false Stream S(1) false 0 5940 12486 27 60 5955 12516 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 3dcdc74d-0754-44f4-8ca2-53e9c12b222d true Number Slider false 0 5851 12406 150 20 5851.294 12406.4 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 98616d02-198c-4e07-8bfb-0db902628d0e true Panel false 1 7ccfe85a-600b-425d-a262-6d8b737e0ff1 1 Double click to edit panel content… 5828 13184 185 271 0 0 0 5828.365 13184.82 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true f1b2d74a-41f2-4126-a4b7-21cf28684074 true Bounds Bounds 5855 13131 122 28 5919 13145 1 Numbers to include in Bounds 203fd579-7096-43f6-aba0-bf8ae8af0c3c true Numbers Numbers false b37e1d0b-abaa-4548-a8df-b35440ba7c04 1 5857 13133 47 24 5882 13145 Numeric Domain between the lowest and highest numbers in {N} 7ec45eea-d71b-4e9c-b409-4a968132f79d true Domain Domain false 0 5934 13133 41 24 5956 13145 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0b43c670-fa3c-4718-87ba-1a1a10682542 true Expression Expression 5817 13545 194 28 5917 13559 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 92256dbc-c9c5-4f50-a48f-d0c66586992f true Variable O O true b37e1d0b-abaa-4548-a8df-b35440ba7c04 1 5819 13547 14 24 5827.5 13559 Result of expression 7ccfe85a-600b-425d-a262-6d8b737e0ff1 true Result false 0 6000 13547 9 24 6006 13559 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 58f18244-1793-4931-bdd9-44e64541efd5 true Expression Expression 5735 13762 367 28 5921 13776 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable bac985bc-3c64-4e06-9480-82c8a0523b07 true Variable O O true 711bca00-e1e4-4e9a-8633-2c096c3a9a2a 1 5737 13764 14 24 5745.5 13776 Result of expression 827382bd-5192-4a4f-bf49-71afa26b8ba3 true Result false 0 6091 13764 9 24 6097 13776 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f1dae086-0eb4-42a5-9d3d-6e0209aa7e07 true Panel false 0 827382bd-5192-4a4f-bf49-71afa26b8ba3 1 Double click to edit panel content… 5828 13721 179 20 0 0 0 5828.504 13721.68 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d4034eaa-4c6f-4be1-b330-6f528bb505ca 1 31636796-8e84-41de-9662-aaba74134bca Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true a1530f9c-a537-42de-932e-19c6365e8716 true Scale Scale 5837 9919 154 64 5921 9951 Base geometry 9f91d827-4ff8-4d9c-87ed-3299940f8322 true Geometry Geometry true e654b44d-372f-4d5e-aa76-bc0c6662276d 1 5839 9921 67 20 5882 9931 Center of scaling b9efb098-db06-46a9-81ff-b735138bad62 true Center Center false 0 5839 9941 67 20 5882 9951 1 1 {0} 0 0 0 Scaling factor 2b2ad2c0-ed7a-4275-9c68-b6506f4ed6b1 1/X true Factor Factor false d2bb97e6-5e05-41ee-8886-54d3eb49ff8c 1 5839 9961 67 20 5882 9971 1 1 {0} 0.5 Scaled geometry 0f759aa6-ce3f-448b-b4aa-05ccd2e50bc4 true Geometry Geometry false 0 5936 9921 53 30 5964 9936 Transformation data 20c9778a-6e8e-4dc4-bd49-ac798684af92 true Transform Transform false 0 5936 9951 53 30 5964 9966 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true fc6414a0-9bee-48ef-aa06-3637587227ea true Point Point false 0f759aa6-ce3f-448b-b4aa-05ccd2e50bc4 1 5892 9886 50 24 5917.654 9898.212 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true d527a055-9671-4265-bd48-d0ac4b70ce06 true Mirror Mirror 5842 9306 138 44 5910 9328 Base geometry 437cf461-dac3-43ce-a5ee-5321ee330926 true Geometry Geometry true d4034eaa-4c6f-4be1-b330-6f528bb505ca 1 5844 9308 51 20 5871 9318 Mirror plane 61efaebb-c222-41ae-b6d2-cb5b2f30a1dd true Plane Plane false 0 5844 9328 51 20 5871 9338 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 820bf723-8b75-476a-99b0-8ae39d7e8184 true Geometry Geometry false 0 5925 9308 53 20 5953 9318 Transformation data 223be809-c43f-4a8a-b19e-f7f9db070157 true Transform Transform false 0 5925 9328 53 20 5953 9338 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 60ea54e2-64fe-495f-8b22-913d5a6247ca true Curve Curve false d81a4267-c3c4-4a5b-9a89-5db64d2729ec 1 5891 9205 50 24 5916.904 9217.064 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a2ddecae-b510-4bde-a13c-a6778c2b7983 true Relay false ad9ea562-2b39-4919-a30a-f817d04760a4 1 5896 13059 40 16 5916 13067 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true a47a2904-7d1e-48ac-ac00-fdf57bd3ae44 true Curve Curve false 3a2182b2-50af-4963-b72c-d9b7f51dec82 1 5462 13453 50 24 5487.403 13465.68 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true ad9ea562-2b39-4919-a30a-f817d04760a4 true Curve Curve false c373d7cb-7d25-4266-bca1-8980cf577a0f 1 5461 13163 50 24 5486.5 13175.83 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 4ae700a5-4c80-4df1-9b07-1f94cf9b3f4b true Scale Scale 5406 13198 154 64 5490 13230 Base geometry 1b620b1b-2aef-4823-ae56-fe05c8df1615 true Geometry Geometry true a47a2904-7d1e-48ac-ac00-fdf57bd3ae44 1 5408 13200 67 20 5451 13210 Center of scaling 365ddd13-d235-4daf-9a15-0251e4d3c1c4 true Center Center false 0 5408 13220 67 20 5451 13230 1 1 {0} 0 0 0 Scaling factor df158a1d-5c5a-457d-902e-0a1d4c23b840 2^X true Factor Factor false 215ee42c-ec8c-4de7-86f1-4b5a561eba9e 1 5408 13240 67 20 5451 13250 1 1 {0} 1 Scaled geometry c373d7cb-7d25-4266-bca1-8980cf577a0f true Geometry Geometry false 0 5505 13200 53 30 5533 13215 Transformation data 08d0ebc7-3a87-4507-8d65-c696cbc636a0 true Transform Transform false 0 5505 13230 53 30 5533 13245 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects a47a2904-7d1e-48ac-ac00-fdf57bd3ae44 ad9ea562-2b39-4919-a30a-f817d04760a4 4ae700a5-4c80-4df1-9b07-1f94cf9b3f4b 27899f96-8899-44d3-a06c-50d23c4c5623 f06837a3-5d93-4535-83ac-52d284bde62b 45290006-f0c0-4f96-813c-690f44b1430c ff38107b-202f-4453-ae39-9a617f4c1117 154c95ec-c2f6-42f4-9124-5e47132d09fe 215ee42c-ec8c-4de7-86f1-4b5a561eba9e 01b18334-33c4-4ddf-93c5-7139eb31af37 57d8cf5a-d653-4aa1-b5d2-37aa860a7191 11 56d047c6-8c13-4095-a979-5d5173a10ad1 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true f62e3b72-6853-4295-8a24-ca3f671c554d true Move Move 5842 9242 138 44 5910 9264 Base geometry ca34b43a-f467-4000-974c-f20e3134ea02 true Geometry Geometry true d4034eaa-4c6f-4be1-b330-6f528bb505ca 1 5844 9244 51 20 5871 9254 Translation vector 2f419528-fc75-4b41-8044-9d0b4f897b11 true Motion Motion false 0 5844 9264 51 20 5871 9274 1 1 {0} 5 0 0 Translated geometry d81a4267-c3c4-4a5b-9a89-5db64d2729ec true Geometry Geometry false 0 5925 9244 53 20 5953 9254 Transformation data ba1f896c-a4d0-43e1-9bcc-4fc2ccca950e true Transform Transform false 0 5925 9264 53 20 5953 9274 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers f06837a3-5d93-4535-83ac-52d284bde62b true Digit Scroller false 0 12 2 0.0000000000 5359 13410 250 20 5359.229 13410.06 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 45290006-f0c0-4f96-813c-690f44b1430c true Panel false 0 0 16.93121320041889709 5418 13288 144 20 0 0 0 5418.967 13288.54 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true ff38107b-202f-4453-ae39-9a617f4c1117 true Curve Curve false 0 5461 13120 50 24 5486.5 13132.83 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 154c95ec-c2f6-42f4-9124-5e47132d09fe true Curve Curve false 0 5462 13590 50 24 5487.229 13602 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 08d0fe08-e5a7-4f39-bcd3-c9761f452521 true Panel false 0 0 0.00137956207 5698 13932 439 20 0 0 0 5698.886 13932.15 255;255;255;255 false false true false false true 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true dbb5dc80-4acb-413d-969c-85a2f4200d6f true End Points End Points 6266 9931 96 44 6316 9953 Curve to evaluate be2febf1-ecce-4828-a44c-35a76bc1f1d2 true Curve Curve false 5a1746ed-86dd-4d88-bc68-5f807e8d4b3d 1 6268 9933 33 40 6286 9953 Curve start point 3386e9eb-0667-4d57-bab0-2f9d4587d779 true Start Start false 0 6331 9933 29 20 6347 9943 Curve end point 7e52aa9b-0275-48d8-b92e-7fe5ca417526 true End End false 0 6331 9953 29 20 6347 9963 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 61cf9524-f205-4ea3-ac2c-b7a2df71b31d true Rectangle 2Pt Rectangle 2Pt 6251 9828 126 84 6309 9870 Rectangle base plane 0788cf45-f6d3-42ef-837c-1a65cd708327 true Plane Plane false 0 6253 9830 41 20 6275 9840 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 0688837e-d1b2-473a-afa0-6f066d9ee689 true Point A Point A false 3386e9eb-0667-4d57-bab0-2f9d4587d779 1 6253 9850 41 20 6275 9860 1 1 {0} 0 0 0 Second corner point. 08694b21-9f73-4997-9cb3-97a193e0311a true Point B Point B false 7e52aa9b-0275-48d8-b92e-7fe5ca417526 1 6253 9870 41 20 6275 9880 1 1 {0} 10 5 0 Rectangle corner fillet radius 78a51c30-f6b8-4cb8-8016-fc3f08b617f3 true Radius Radius false 0 6253 9890 41 20 6275 9900 1 1 {0} 0 Rectangle defined by P, A and B f94e4fec-b86d-49a0-a2e4-6eab56feb15d true Rectangle Rectangle false 0 6324 9830 51 40 6351 9850 Length of rectangle curve a86db4cb-ef67-420e-aabc-ea1f320f5700 true Length Length false 0 6324 9870 51 40 6351 9890 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true bafe90e0-6f7a-4572-bf4c-9530d7ea2237 true Deconstuct Rectangle Deconstuct Rectangle 6243 9745 142 64 6311 9777 Rectangle to deconstruct 2be5869e-ba23-42a5-8024-4d18b1323b3e true Rectangle Rectangle false f94e4fec-b86d-49a0-a2e4-6eab56feb15d 1 6245 9747 51 60 6272 9777 Base plane of rectangle 941fea12-a11f-4a91-bfea-61fcfd528244 true Base Plane Base Plane false 0 6326 9747 57 20 6356 9757 Size interval along base plane X axis 8d14054b-4c2d-4b5e-809c-829c05c974b2 true X Interval X Interval false 0 6326 9767 57 20 6356 9777 Size interval along base plane Y axis f1c5a0ed-af11-4084-8d0a-3b912daab294 true Y Interval Y Interval false 0 6326 9787 57 20 6356 9797 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true c40d8cac-0c78-4496-a6f9-8db45610e33d true Deconstruct Domain Deconstruct Domain 6262 9618 104 44 6320 9640 Base domain 94e268db-3622-4ae6-9332-57718ccc1c55 true Domain Domain false f1c5a0ed-af11-4084-8d0a-3b912daab294 1 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects ed31987d-e608-464e-ae29-c6ee653c5144 1 0a337e19-c2fd-4ed7-a876-d23f94c816ca Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 6ef3dd47-35c9-4a57-84e7-9e7cdb582fd6 1 e73b58fe-8eba-4f41-be14-bf8baf440316 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e5bcf49e-bc3b-406e-8ae7-ee4f982c139a 6e6d9687-23d8-4aa0-937e-15a27770bdf3 c224342c-801f-4459-9224-44879ddf539f 13a34976-62c7-405b-9081-13598ea4fef8 14d86f04-d57c-405e-9934-faa2a0359aae 74341fee-fd1a-4963-833b-ea12e30114f7 34768c89-7693-4842-b84d-e4ba975d624c bade2dc2-5919-4723-bde3-ebdd9bc0713a abb3172f-9fe8-43d9-81ae-6681dc89a32a 152e67d0-a077-408a-ae94-36f4b0baccba e73b58fe-8eba-4f41-be14-bf8baf440316 0a337e19-c2fd-4ed7-a876-d23f94c816ca bde10973-4f64-4daf-87dd-d7e70ef59615 f1db56f7-3181-47e5-9ebd-1808819c1a93 b2a2f048-d933-4b9a-802e-81a5e9054879 fc350524-ba4b-42e1-b3be-b2e6eb1e659e c0eece22-6db9-450a-84da-b6446c00f6e7 ebd5302f-d62d-47d8-bd9f-a5c55eb9d9e2 16366958-9805-4b42-a54b-9f5d58291fee 5ae063e1-5715-4087-b7ea-26de32862c2b 20 a4d9840e-68f6-415f-acba-7d808a83ebcd Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true e5bcf49e-bc3b-406e-8ae7-ee4f982c139a true Duplicate Data Duplicate Data 7500 14291 104 64 7559 14323 1 Data to duplicate e3a263dd-5db5-469b-ba22-9bf0f44ec284 true Data Data false e9108fb0-4e98-43b0-a1c1-8a485719f55c 1 7502 14293 42 20 7524.5 14303 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 2022e79f-2a6d-4de3-9260-7b14b2988cee true Number Number false 88b8ffb1-067f-4ad4-ae02-6871e4a07719 1 7502 14313 42 20 7524.5 14323 1 1 {0} 500 Retain list order 45eb365c-8a47-4713-9b6c-9de57def39d3 true Order Order false 0 7502 14333 42 20 7524.5 14343 1 1 {0} true 1 Duplicated data 04e568bc-2825-44be-8bb2-c80be2325618 true Data Data false 0 7574 14293 28 60 7589.5 14323 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 6e6d9687-23d8-4aa0-937e-15a27770bdf3 true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 7486 12363 116 44 7547 12385 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 106e3e26-c600-4028-975f-e60c7c14929c true Forward Forward true 1 true 04e568bc-2825-44be-8bb2-c80be2325618 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 7488 12365 44 20 7511.5 12375 1 false Script Variable Left 3c10fff7-4280-4b4d-8f8a-679cf3eff2fb true Left Left true 1 true 9fb6c367-789d-4429-b55c-b390791391fd 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 7488 12385 44 20 7511.5 12395 Print, Reflect and Error streams 624bbaad-671f-40ce-912d-5aa674047f10 true Output Output false 0 7562 12365 38 20 7582.5 12375 Output parameter Points 1a7f5de6-38f3-4d31-8db7-4a12c24c79d7 true Points Points false 0 7562 12385 38 20 7582.5 12395 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 13a34976-62c7-405b-9081-13598ea4fef8 true Series Series 7497 13620 101 64 7547 13652 First number in the series 8bd6dfff-e116-4ba0-a22d-b49212795f53 true Start Start false 0 7499 13622 33 20 7517 13632 1 1 {0} 0 Step size for each successive number 5faf684f-5c2a-4fd9-b082-8eb64393bf0b true Step Step false 2102b6f6-7762-401d-b96b-e1b63393697b 1 7499 13642 33 20 7517 13652 1 1 {0} 1 Number of values in the series 6f1800e8-5094-4255-9e85-d9725a39d41e true Count Count false 88b8ffb1-067f-4ad4-ae02-6871e4a07719 1 7499 13662 33 20 7517 13672 1 Series of numbers 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 true Series Series false 0 7562 13622 34 60 7580.5 13652 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 14d86f04-d57c-405e-9934-faa2a0359aae true Number Slider false 0 7487 14568 150 20 7487.202 14568.28 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 74341fee-fd1a-4963-833b-ea12e30114f7 true Radians Radians 7486 13837 120 28 7547 13851 Angle in degrees f3bd733b-bd95-4a9e-b809-6984d636270f true Degrees Degrees false 73264b8a-92e1-4ec9-82b0-0fb1b2df3af9 1 7488 13839 44 24 7511.5 13851 Angle in radians 2e500c78-c54a-4ee9-9dc5-2a16260d83ce true Radians Radians false 0 7562 13839 42 24 7584.5 13851 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 34768c89-7693-4842-b84d-e4ba975d624c true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 7422 14145 251 20 7422.296 14145.24 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true 152e67d0-a077-408a-ae94-36f4b0baccba true Interpolate (t) Interpolate (t) 7472 11598 144 84 7558 11640 1 Interpolation points 4591a82d-76a3-465a-ad51-80e3a4b7ba10 true Vertices Vertices false 653b9b1f-4388-4601-9964-cb0f37000c42 1 7474 11600 69 20 7510 11610 Tangent at start of curve 22986d70-80df-454b-a4b4-f542cdce32ce true Tangent Start Tangent Start false 0 7474 11620 69 20 7510 11630 1 1 {0} 0.0625 0 0 Tangent at end of curve 247e312b-0de9-4177-b247-9dbf2e294a90 true Tangent End Tangent End false 0 7474 11640 69 20 7510 11650 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 9e62185b-e960-4d19-900b-515104b23602 true KnotStyle KnotStyle false 0 7474 11660 69 20 7510 11670 1 1 {0} 2 Resulting nurbs curve 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce true Curve Curve false 0 7573 11600 41 26 7595 11613.33 Curve length 8548a258-2385-49d4-b635-20f3a4a3fd64 true Length Length false 0 7573 11626 41 27 7595 11640 Curve domain 17bfc63b-8a02-4224-84ae-1d5008aa0990 true Domain Domain false 0 7573 11653 41 27 7595 11666.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e5bcf49e-bc3b-406e-8ae7-ee4f982c139a 6e6d9687-23d8-4aa0-937e-15a27770bdf3 c224342c-801f-4459-9224-44879ddf539f 13a34976-62c7-405b-9081-13598ea4fef8 14d86f04-d57c-405e-9934-faa2a0359aae 74341fee-fd1a-4963-833b-ea12e30114f7 34768c89-7693-4842-b84d-e4ba975d624c bade2dc2-5919-4723-bde3-ebdd9bc0713a a7804f21-ef86-4385-9b58-89ada0927d45 19fcc16d-49a9-4381-afd9-07d700c4d873 2f56db63-146f-405e-b3c3-c44caed0f203 5e8d1927-3e40-48e5-b130-19494db5d000 bd253782-5888-4882-b26c-d089e5f118eb dbc0f284-69fa-415b-9bb8-94c62d74b2d5 f582e4af-ec7c-4482-af00-9cefb7455e43 2ac3b344-e8c4-43f0-b9bd-40e4f55f130c 16 abb3172f-9fe8-43d9-81ae-6681dc89a32a Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true e4aec249-cfaf-4604-8644-19109b45a59d true Evaluate Length Evaluate Length 7472 11430 144 64 7546 11462 Curve to evaluate 864892a7-28b1-457e-a96f-58d0b6768c51 true Curve Curve false 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce 1 7474 11432 57 20 7504 11442 Length factor for curve evaluation a8f816e9-7173-4858-b62f-2bca011ec39f true Length Length false 0 7474 11452 57 20 7504 11462 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) eedf45f9-57da-40f3-8633-f863bd02947b true Normalized Normalized false 0 7474 11472 57 20 7504 11482 1 1 {0} true Point at the specified length 19a2408d-1ef1-431f-afe2-3e6fd4d3f492 true Point Point false 0 7561 11432 53 20 7589 11442 Tangent vector at the specified length 98ca8695-b0c5-4236-a503-faf06329e2f1 true Tangent Tangent false 0 7561 11452 53 20 7589 11462 Curve parameter at the specified length 85e2222a-f72c-455b-9f7d-ad9174d12ced true Parameter Parameter false 0 7561 11472 53 20 7589 11482 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 88da7dd8-48a3-442c-b0fe-a2283162f1a8 true Mirror Mirror 7475 11368 138 44 7543 11390 Base geometry 7e98a09c-5499-419a-b48e-28b274c49a40 true Geometry Geometry true 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce 1 7477 11370 51 20 7504 11380 Mirror plane a5998f59-8108-48ed-b93c-8b823b73f96f true Plane Plane false 56aba84a-d5fd-49e5-bf0b-31f24d888335 1 7477 11390 51 20 7504 11400 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 279ff27c-0e38-4bd1-ab73-d0f2790603a9 true Geometry Geometry false 0 7558 11370 53 20 7586 11380 Transformation data 22d28a0d-510a-4c97-a170-cb359301b85c true Transform Transform false 0 7558 11390 53 20 7586 11400 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 3f8a7473-ad12-405b-8893-ae8b1f21e4a1 true Line SDL Line SDL 7491 11514 106 64 7555 11546 Line start point 3d4b817f-c67c-4580-b892-a1486475a39c true Start Start false 19a2408d-1ef1-431f-afe2-3e6fd4d3f492 1 7493 11516 47 20 7518 11526 Line tangent (direction) 936a4b72-6ef5-4a8b-8b90-7ac9aa2337e0 true Direction Direction false 98ca8695-b0c5-4236-a503-faf06329e2f1 1 7493 11536 47 20 7518 11546 1 1 {0} 0 0 1 Line length 94072402-a3c4-461a-a39a-1163a08ac70b true Length Length false 0 7493 11556 47 20 7518 11566 1 1 {0} 1 Line segment 56aba84a-d5fd-49e5-bf0b-31f24d888335 true Line Line false 0 7570 11516 25 60 7584 11546 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true a51bfa4f-4375-4769-990a-a88b58714f3a true Join Curves Join Curves 7485 11306 118 44 7548 11328 1 Curves to join 400027b4-9a0d-4bb8-a5e5-721d23960873 true Curves Curves false 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce 279ff27c-0e38-4bd1-ab73-d0f2790603a9 2 7487 11308 46 20 7511.5 11318 Preserve direction of input curves f764d3f3-be14-4355-8960-34f2dde1e276 true Preserve Preserve false 0 7487 11328 46 20 7511.5 11338 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 true Curves Curves false 0 7563 11308 38 40 7583.5 11328 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true d73207e8-cffe-4689-9165-3f2f493c2334 true Evaluate Length Evaluate Length 7472 11222 144 64 7546 11254 Curve to evaluate 19d63261-381e-42f5-9ee8-ec3e0edbd60e true Curve Curve false 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 1 7474 11224 57 20 7504 11234 Length factor for curve evaluation 78f25b48-fe55-4bb4-8676-1db9d6cb7ece true Length Length false 0 7474 11244 57 20 7504 11254 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 4bd50774-ced2-4190-95e3-e15a7d9865eb true Normalized Normalized false 0 7474 11264 57 20 7504 11274 1 1 {0} true Point at the specified length 6c5691fe-b064-4cd5-a1a2-56215bb0e129 true Point Point false 0 7561 11224 53 20 7589 11234 Tangent vector at the specified length ace258e5-519d-4272-beeb-13d7696b185f true Tangent Tangent false 0 7561 11244 53 20 7589 11254 Curve parameter at the specified length b5806fa6-398f-4cf4-88c4-78d36b0e1362 true Parameter Parameter false 0 7561 11264 53 20 7589 11274 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 037cd549-441a-4d1d-bda2-c859f4f5de54 true Rotate Rotate 7475 11139 138 64 7543 11171 Base geometry 78522879-98b3-432f-aa05-0398091bdea5 true Geometry Geometry true 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 1 7477 11141 51 20 7504 11151 Rotation angle in radians ac9a0cd7-2476-40ce-a2b8-27e1cd46363f true Angle Angle false 0 false 7477 11161 51 20 7504 11171 1 1 {0} 3.1415926535897931 Rotation plane 2b4b9912-63ef-4b46-802c-5a2d388bc9eb true Plane Plane false 6c5691fe-b064-4cd5-a1a2-56215bb0e129 1 7477 11181 51 20 7504 11191 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry d1c1a2ba-3617-429d-bd4e-427409fd3815 true Geometry Geometry false 0 7558 11141 53 30 7586 11156 Transformation data 034f35ca-41d8-43a0-95d6-b20888c9c10a true Transform Transform false 0 7558 11171 53 30 7586 11186 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true d3f62d39-d3b6-4eda-9fda-e54910bad6d8 true Join Curves Join Curves 7485 11076 118 44 7548 11098 1 Curves to join 344c7316-9b7c-4145-b1f2-0ee64f841c6d true Curves Curves false 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 d1c1a2ba-3617-429d-bd4e-427409fd3815 2 7487 11078 46 20 7511.5 11088 Preserve direction of input curves f3859b6b-7f02-4f66-8f5e-595257ce68b6 true Preserve Preserve false 0 7487 11098 46 20 7511.5 11108 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 86449467-1510-4ece-8e14-83b5355ce74e true Curves Curves false 0 7563 11078 38 40 7583.5 11098 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 152e67d0-a077-408a-ae94-36f4b0baccba e4aec249-cfaf-4604-8644-19109b45a59d 88da7dd8-48a3-442c-b0fe-a2283162f1a8 3f8a7473-ad12-405b-8893-ae8b1f21e4a1 a51bfa4f-4375-4769-990a-a88b58714f3a d73207e8-cffe-4689-9165-3f2f493c2334 037cd549-441a-4d1d-bda2-c859f4f5de54 d3f62d39-d3b6-4eda-9fda-e54910bad6d8 10dfccba-b58f-42f8-a31f-68b35f0b5128 accb7566-1c4f-472e-95ae-bf5b9b0e62fb fe8fda7a-61a0-4712-ad3e-8e26eaf5a221 653b9b1f-4388-4601-9964-cb0f37000c42 dfe2545b-c3c0-46a7-addc-20709cae7a4d 56e8a40e-11a7-4931-84ec-68eda6076c5e 7101556a-3ae8-4013-a010-ecff577fe9b9 15 6ef3dd47-35c9-4a57-84e7-9e7cdb582fd6 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a352dd57-ca14-43a7-bdf0-c74f0212a36c true Panel false 0 78143443-bf79-4a8c-8ab6-357fb7242d83 1 Double click to edit panel content… 7475 13711 145 20 0 0 0 7475.325 13711.46 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 10dfccba-b58f-42f8-a31f-68b35f0b5128 true Curve Curve false 86449467-1510-4ece-8e14-83b5355ce74e 1 7523 11039 50 24 7548.904 11051.04 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 10dfccba-b58f-42f8-a31f-68b35f0b5128 1 6147e27d-d278-4100-bd0c-2d9bf58f804b Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 19fcc16d-49a9-4381-afd9-07d700c4d873 true Panel false 0 0 0.35721403168191375/4/4 7328 13919 439 20 0 0 0 7328.886 13919.55 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 4ba9af09-5608-439b-abb2-0972c2c3aac1 true Evaluate Length Evaluate Length 7472 10950 144 64 7546 10982 Curve to evaluate db52062f-afe5-499b-8743-ea16d9dbd725 true Curve Curve false 86449467-1510-4ece-8e14-83b5355ce74e 1 7474 10952 57 20 7504 10962 Length factor for curve evaluation 4db536a5-0a95-42f7-bfdf-69bc94e2270a true Length Length false 0 7474 10972 57 20 7504 10982 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 7668b981-3ee7-4536-90c6-d1d6fc18eda8 true Normalized Normalized false 0 7474 10992 57 20 7504 11002 1 1 {0} true Point at the specified length c45727d9-9652-45f2-b8a3-0f2ff6c71d4f true Point Point false 0 7561 10952 53 20 7589 10962 Tangent vector at the specified length 29924098-f00e-4497-9d52-82f2d8c9d457 true Tangent Tangent false 0 7561 10972 53 20 7589 10982 Curve parameter at the specified length 7a9f0a25-3d37-4cc1-8860-32f72acd4937 true Parameter Parameter false 0 7561 10992 53 20 7589 11002 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true f239b077-0be7-44f3-80e9-7c5fec9c1cf4 true Expression Expression 7447 10728 194 28 7547 10742 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 67f40f1f-3a7f-4d93-824c-045af7db3f3b true Variable O O true 7cf59001-1478-4b32-93da-0b3ec82ce6c9 1 7449 10730 14 24 7457.5 10742 Result of expression c69a8903-0631-4c09-8993-ece5764d020a true Result false 0 7630 10730 9 24 7636 10742 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 78a25c84-d10a-4ec1-9371-11d33679bb8d true Deconstruct Deconstruct 7478 10862 132 64 7525 10894 Input point e9d79ec2-a2b1-43c9-a6ef-e196dff932cc true Point Point false c45727d9-9652-45f2-b8a3-0f2ff6c71d4f 1 7480 10864 30 60 7496.5 10894 Point {x} component 7cf59001-1478-4b32-93da-0b3ec82ce6c9 true X component X component false 0 7540 10864 68 20 7575.5 10874 Point {y} component e2587423-7fc1-4e29-8b3d-d6975ffbfc44 true Y component Y component false 0 7540 10884 68 20 7575.5 10894 Point {z} component ad1e1483-8922-4c0c-8f49-bf1affc11d9b true Z component Z component false 0 7540 10904 68 20 7575.5 10914 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1d9bc771-2e15-4b94-a341-e87b0877df92 true Panel false 0 c69a8903-0631-4c09-8993-ece5764d020a 1 Double click to edit panel content… 7467 10704 160 20 0 0 0 7467.674 10704.62 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b4343695-12cd-4656-b416-0a59bc755dc7 true Expression Expression 7447 10642 194 28 7547 10656 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 248ad927-5d01-496a-bf47-5b58cb9883c1 true Variable O O true e2587423-7fc1-4e29-8b3d-d6975ffbfc44 1 7449 10644 14 24 7457.5 10656 Result of expression bb0bcfa5-250a-411a-9caf-ecc8f7b569b4 true Result false 0 7630 10644 9 24 7636 10656 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 610dfbfd-76bc-4ae1-b235-8480bf3d07bc true Panel false 0 bb0bcfa5-250a-411a-9caf-ecc8f7b569b4 1 Double click to edit panel content… 7467 10616 160 20 0 0 0 7467.674 10616.19 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 38bcc71c-4564-474e-b422-b9edfd11ec76 true Division Division 7503 10540 82 44 7534 10562 Item to divide (dividend) 002843b8-1aeb-4c80-983d-7824d5601781 true A A false 1d9bc771-2e15-4b94-a341-e87b0877df92 1 7505 10542 14 20 7513.5 10552 Item to divide with (divisor) 4bcf65f3-db93-4356-9e70-85d19dc8e368 true B B false 610dfbfd-76bc-4ae1-b235-8480bf3d07bc 1 7505 10562 14 20 7513.5 10572 The result of the Division b80b96b0-52fb-4029-a310-f7797ea530e1 true Result Result false 0 7549 10542 34 40 7567.5 10562 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 04684392-c231-4803-96a2-0b45d4eceeff true Panel false 0 78143443-bf79-4a8c-8ab6-357fb7242d83 1 Double click to edit panel content… 7467 10468 160 20 0 0 0 7467.914 10468.68 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 04965399-0049-4a69-96f7-cd6e227acae9 true Expression Expression 7447 10493 194 28 7547 10507 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 69ca5661-0ed8-4c13-8737-2947ea5a6fad true Variable O O true b80b96b0-52fb-4029-a310-f7797ea530e1 1 7449 10495 14 24 7457.5 10507 Result of expression 924b61c6-1db0-46ef-a68e-b5dffce525cb true Result false 0 7630 10495 9 24 7636 10507 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 78143443-bf79-4a8c-8ab6-357fb7242d83 true Relay false 924b61c6-1db0-46ef-a68e-b5dffce525cb 1 7524 10418 40 16 7544 10426 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 8fe7bbce-0836-4790-b068-eb14beedc8e6 true Addition Addition 7503 10355 82 44 7534 10377 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 823200d7-0516-438c-9c01-4f3d8a3251e7 true A A true 610dfbfd-76bc-4ae1-b235-8480bf3d07bc 1 7505 10357 14 20 7513.5 10367 Second item for addition 3c4dcf86-3ac0-4a44-bafa-81400fd44800 true B B true 1d9bc771-2e15-4b94-a341-e87b0877df92 1 7505 10377 14 20 7513.5 10387 Result of addition 2703236f-c04a-4075-8124-52cdfec5854e true Result Result false 0 7549 10357 34 40 7567.5 10377 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 35dbe435-c549-4a59-a6e6-2791d1611515 true Division Division 7503 10205 82 44 7534 10227 Item to divide (dividend) 08cd7422-6498-4bc2-a6ee-6c0bb15e4d5a true A A false 157f3ccd-a904-49ed-ab92-b91ac0a128b3 1 7505 10207 14 20 7513.5 10217 Item to divide with (divisor) 4af1bed2-6df8-421f-8a72-4c007a673027 true B B false 0 7505 10227 14 20 7513.5 10237 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 956cc589-b6f3-4664-855a-0538ee3fabdf true Result Result false 0 7549 10207 34 40 7567.5 10227 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 1b7a9e9e-38d9-42ad-974f-a2fe4ede79ac true Expression Expression 7447 10157 194 28 7547 10171 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3239cb9b-da3a-4ff0-9524-2af031f2c3d5 true Variable O O true 956cc589-b6f3-4664-855a-0538ee3fabdf 1 7449 10159 14 24 7457.5 10171 Result of expression 6cf1d172-594f-4b44-8332-11d6a47375aa true Result false 0 7630 10159 9 24 7636 10171 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6f2328a6-1197-4fad-88b8-fe947c5630c5 true Panel false 0 6cf1d172-594f-4b44-8332-11d6a47375aa 1 Double click to edit panel content… 7467 10132 160 20 0 0 0 7467.674 10132.54 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 157f3ccd-a904-49ed-ab92-b91ac0a128b3 true Panel false 0 00bbf7ce-5d6e-4aa3-ab60-66750ab27aa1 1 Double click to edit panel content… 7467 10284 160 20 0 0 0 7467.674 10284.45 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 2ad9750f-95e1-4da5-8ff7-e3d2fc4b9d28 true Expression Expression 7447 10308 194 28 7547 10322 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable ec194f59-87b8-4adb-8203-205f9021d77c true Variable O O true 2703236f-c04a-4075-8124-52cdfec5854e 1 7449 10310 14 24 7457.5 10322 Result of expression 00bbf7ce-5d6e-4aa3-ab60-66750ab27aa1 true Result false 0 7630 10310 9 24 7636 10322 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true f2b68385-5c09-4829-a4df-6ad0d978d896 true Scale Scale 7467 10034 154 64 7551 10066 Base geometry 7fb32e9e-7e44-4c5d-9d6d-817aa34f2341 true Geometry Geometry true 10dfccba-b58f-42f8-a31f-68b35f0b5128 1 7469 10036 67 20 7512 10046 Center of scaling 48d2d4b3-2014-4a46-afb7-205e6cabfb63 true Center Center false 0 7469 10056 67 20 7512 10066 1 1 {0} 0 0 0 Scaling factor ae3ce625-5e79-4a0b-96f4-3c1c370ba334 1/X true Factor Factor false 6f2328a6-1197-4fad-88b8-fe947c5630c5 1 7469 10076 67 20 7512 10086 1 1 {0} 0.5 Scaled geometry e1002a7b-90bf-4236-84b5-44ee63cc2881 true Geometry Geometry false 0 7566 10036 53 30 7594 10051 Transformation data 06873b5f-aee3-48e4-b8f0-7a5a8123938c true Transform Transform false 0 7566 10066 53 30 7594 10081 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 5494d448-a9bd-4b32-86e1-470ecb156672 true Curve Curve false e1002a7b-90bf-4236-84b5-44ee63cc2881 1 7521 9438 50 24 7546.654 9450.042 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 211da4c9-6ce1-4ffa-a619-50942fe2ea47 true Expression Expression 7447 10815 194 28 7547 10829 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 283fa460-f5bd-4f52-a61c-da3517f2abae true Variable O O true ad1e1483-8922-4c0c-8f49-bf1affc11d9b 1 7449 10817 14 24 7457.5 10829 Result of expression 87cecad4-c03d-431d-b2ca-a857bf731f5d true Result false 0 7630 10817 9 24 7636 10829 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 0837d549-965a-4c9e-9064-4edc1c2772c6 true Panel false 0 87cecad4-c03d-431d-b2ca-a857bf731f5d 1 Double click to edit panel content… 7468 10790 160 20 0 0 0 7468.544 10790.39 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true e8c07d05-d369-4254-b811-1f30c9c5ef96 true Evaluate Length Evaluate Length 7472 9824 144 64 7546 9856 Curve to evaluate a67b6611-847a-42e5-9773-7122bbc5a32a true Curve Curve false e1002a7b-90bf-4236-84b5-44ee63cc2881 1 7474 9826 57 20 7504 9836 Length factor for curve evaluation c1ec3f7b-d5ac-44cd-9db5-6d41bc71d6be true Length Length false 0 7474 9846 57 20 7504 9856 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) a31a6e08-17ec-4f4c-9c9b-42ffc0e29aed true Normalized Normalized false 0 7474 9866 57 20 7504 9876 1 1 {0} true Point at the specified length be65b05f-37fc-4121-b745-2151f44dfb4f true Point Point false 0 7561 9826 53 20 7589 9836 Tangent vector at the specified length e40d3e65-1f56-421c-b71e-095aa0bc8130 true Tangent Tangent false 0 7561 9846 53 20 7589 9856 Curve parameter at the specified length 5a66186e-5337-461c-8305-a95585464884 true Parameter Parameter false 0 7561 9866 53 20 7589 9876 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 32e80d34-20c3-4524-aeab-e61fe36a3f90 true Expression Expression 7447 9607 194 28 7547 9621 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2ad359b4-8500-4ef7-8081-b4ba973deb08 true Variable O O true 9eba3d88-8a63-4552-aec0-5149ad24f8ea 1 7449 9609 14 24 7457.5 9621 Result of expression 261632eb-a174-47e1-8130-a97e79b5d3fc true Result false 0 7630 9609 9 24 7636 9621 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 5945a555-b422-4b9c-a4a1-5ee679a7de49 true Deconstruct Deconstruct 7478 9741 132 64 7525 9773 Input point 62f80c5e-6384-4db1-a090-23257662161b true Point Point false be65b05f-37fc-4121-b745-2151f44dfb4f 1 7480 9743 30 60 7496.5 9773 Point {x} component 9eba3d88-8a63-4552-aec0-5149ad24f8ea true X component X component false 0 7540 9743 68 20 7575.5 9753 Point {y} component e0d9b1ae-3321-4281-b572-8a83b7412e09 true Y component Y component false 0 7540 9763 68 20 7575.5 9773 Point {z} component d85a06fa-27ff-4935-8e84-1338352118e9 true Z component Z component false 0 7540 9783 68 20 7575.5 9793 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ac728063-c096-41a7-9b68-e71ad04383f6 true Panel false 0 261632eb-a174-47e1-8130-a97e79b5d3fc 1 Double click to edit panel content… 7467 9577 160 20 0 0 0 7467.924 9577.962 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true afe3b516-b00d-403d-9a6a-4859e35e5cb0 true Expression Expression 7447 9521 194 28 7547 9535 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable a2aac36d-007e-4f37-9ea3-9df71af43073 true Variable O O true e0d9b1ae-3321-4281-b572-8a83b7412e09 1 7449 9523 14 24 7457.5 9535 Result of expression 67d9f50c-864c-4ff9-87c0-c697b83c89ad true Result false 0 7630 9523 9 24 7636 9535 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1f6fe439-c332-4e07-a762-280f166f72fc true Panel false 0 67d9f50c-864c-4ff9-87c0-c697b83c89ad 1 Double click to edit panel content… 7467 9492 160 20 0 0 0 7467.936 9492.333 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d4ee0d3f-fb2e-4f6d-b04c-9eb8d93f8221 true Expression Expression 7447 9693 194 28 7547 9707 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 50a89f62-c4f4-426c-a88f-2c46b325d60c true Variable O O true d85a06fa-27ff-4935-8e84-1338352118e9 1 7449 9695 14 24 7457.5 9707 Result of expression 225865a7-8c6f-4066-a8a0-71558bfcf515 true Result false 0 7630 9695 9 24 7636 9707 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 203013c3-86ac-4a38-a910-e737d2189433 true Panel false 0 225865a7-8c6f-4066-a8a0-71558bfcf515 1 Double click to edit panel content… 7467 9664 160 20 0 0 0 7467.674 9664.173 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2f56db63-146f-405e-b3c3-c44caed0f203 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 7366 13998 379 104 0 0 0 7366.33 13998.62 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 16366958-9805-4b42-a54b-9f5d58291fee true Panel false 0 8b325d0a-58f0-42c0-a1b6-7bf3107f6d6b 1 Double click to edit panel content… 7379 12027 337 276 0 0 0 7379.865 12027.96 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5ae063e1-5715-4087-b7ea-26de32862c2b true Expression Expression 7447 12315 194 28 7547 12329 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 6c812f22-cf07-4628-86a0-9fd562b56201 true Variable O O true 1a7f5de6-38f3-4d31-8db7-4a12c24c79d7 1 7449 12317 14 24 7457.5 12329 Result of expression 8b325d0a-58f0-42c0-a1b6-7bf3107f6d6b true Result false 0 7630 12317 9 24 7636 12329 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 88b8ffb1-067f-4ad4-ae02-6871e4a07719 true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 7537 14526 50 24 7562.255 14538.57 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true bde10973-4f64-4daf-87dd-d7e70ef59615 true Curve Graph Mapper Curve Graph Mapper 7375 12597 160 224 7443 12709 1 One or multiple graph curves to graph map values with b9135103-354b-462a-987e-0b7805936c91 true Curves Curves false 620f4604-c9b2-4225-ab41-aaf06f6c632a 1 7377 12599 51 27 7404 12612.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 431efbc9-cf4a-4ca2-a719-b47d0cca7834 true Rectangle Rectangle false cd5062c1-61ba-40e7-bc08-0ca8b6df2254 1 7377 12626 51 28 7404 12640.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 727f04cf-92e4-4ac6-8e5e-68bde4e9f02a true Values Values false 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 1 7377 12654 51 27 7404 12667.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) f1f89f04-68a9-4e96-9e77-146d28cbe839 true X Axis X Axis true 0 7377 12681 51 28 7404 12695.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 78d4774e-f302-420f-ba03-07b37356019f true Y Axis Y Axis true 0 7377 12709 51 27 7404 12722.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph b31b9dd8-22b0-4844-b067-8bcace4fb10c true Flip Flip false 0 7377 12736 51 28 7404 12750.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle f7c60b43-f11a-4183-b4e9-18f50a795e75 true Snap Snap false 0 7377 12764 51 27 7404 12777.75 1 1 {0} true Size of the graph labels f1b3dfb7-82ab-4f35-b8e9-350ec3a05e0d true Text Size Text Size false 0 7377 12791 51 28 7404 12805.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 749b8b54-b38e-490b-86d6-0135fb7658d1 true Mapped Mapped false 0 7458 12599 75 20 7497 12609 1 The graph curves inside the boundary of the graph 8dc92799-241a-45de-908a-586408029cc2 true Graph Curves Graph Curves false 0 7458 12619 75 20 7497 12629 1 The points on the graph curves where the X Axis input values intersected true 0cb90479-7814-4040-858e-089f941fc548 true Graph Points Graph Points false 0 7458 12639 75 20 7497 12649 1 The lines from the X Axis input values to the graph curves true 9468e129-8994-4b59-b943-f3c4671e9266 true Value Lines Value Lines false 0 7458 12659 75 20 7497 12669 1 The points plotted on the X Axis which represent the input values true c83182f9-5eb6-418a-9deb-a687a5a6600d true Value Points Value Points false 0 7458 12679 75 20 7497 12689 1 The lines from the graph curves to the Y Axis graph mapped values true 5865a8c1-b707-4a10-a53b-727facfdbd27 true Mapped Lines Mapped Lines false 0 7458 12699 75 20 7497 12709 1 The points mapped on the Y Axis which represent the graph mapped values true 6cadb3c3-7944-46a8-8aac-56528131a29e true Mapped Points Mapped Points false 0 7458 12719 75 20 7497 12729 The graph boundary background as a surface 6ce3ffae-5663-49f5-9e29-70aa40d33d7e true Boundary Boundary false 0 7458 12739 75 20 7497 12749 1 The graph labels as curve outlines 8b44dc8d-2938-4ad6-916a-5974e712b904 true Labels Labels false 0 7458 12759 75 20 7497 12769 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds fd226bed-9da9-41a0-8e58-de7792a107eb true Out Of Bounds Out Of Bounds false 0 7458 12779 75 20 7497 12789 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve d5e4a6a9-3e45-49c1-b1e4-84d3903e7e04 true Intersected Intersected false 0 7458 12799 75 20 7497 12809 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true f1db56f7-3181-47e5-9ebd-1808819c1a93 true End Points End Points 7496 13022 96 44 7546 13044 Curve to evaluate 6c04a5d0-01f6-4331-9cc4-d14b5cd21a9d true Curve Curve false 620f4604-c9b2-4225-ab41-aaf06f6c632a 1 7498 13024 33 40 7516 13044 Curve start point 2b5ed4c8-213e-4697-a381-3918ac9dbfbb true Start Start false 0 7561 13024 29 20 7577 13034 Curve end point 90f707ef-2045-4ac5-989e-65bc04910535 true End End false 0 7561 13044 29 20 7577 13054 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true b2a2f048-d933-4b9a-802e-81a5e9054879 true Rectangle 2Pt Rectangle 2Pt 7481 12920 126 84 7539 12962 Rectangle base plane 96feecab-6ceb-4211-8e03-3c6f6d7ad1bb true Plane Plane false 0 7483 12922 41 20 7505 12932 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 8884988e-e986-43c7-b6d0-09a307ff3b93 true Point A Point A false 2b5ed4c8-213e-4697-a381-3918ac9dbfbb 1 7483 12942 41 20 7505 12952 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 0b20b7af-14e2-4cdd-95ec-59b516ba7deb true Point B Point B false 90f707ef-2045-4ac5-989e-65bc04910535 1 7483 12962 41 20 7505 12972 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 284ad67c-88a6-4977-8d59-fa10fbcc728b true Radius Radius false 0 7483 12982 41 20 7505 12992 1 1 {0} 0 Rectangle defined by P, A and B cd5062c1-61ba-40e7-bc08-0ca8b6df2254 true Rectangle Rectangle false 0 7554 12922 51 40 7581 12942 Length of rectangle curve 1704d891-c56a-4edd-a448-c40633072f39 true Length Length false 0 7554 12962 51 40 7581 12982 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true fc350524-ba4b-42e1-b3be-b2e6eb1e659e true GraphMapper+ GraphMapper+ true 7535 12717 126 104 7602 12769 External curve as a graph 39a567f2-e6ca-44e3-a4d0-bd4ff9b1af56 true Curve Curve false 620f4604-c9b2-4225-ab41-aaf06f6c632a 1 7537 12719 50 20 7563.5 12729 Optional Rectangle boundary. If omitted the curve's would be landed e05f3b49-4b57-44be-8304-d9752afb3129 true Boundary Boundary true cd5062c1-61ba-40e7-bc08-0ca8b6df2254 1 7537 12739 50 20 7563.5 12749 1 List of input numbers 231a71f6-2ca9-4149-b62b-d1905f2bb6e2 true Numbers Numbers false 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 1 7537 12759 50 20 7563.5 12769 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode b16456ab-4d82-4226-93e1-16cda0318deb true Input Input true e797e490-c7b9-4597-930b-c8696eeb879e 1 7537 12779 50 20 7563.5 12789 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 335554e0-2b77-4e9a-9da3-6ac7303318f3 true Output Output true e797e490-c7b9-4597-930b-c8696eeb879e 1 7537 12799 50 20 7563.5 12809 1 Output Numbers 55233cdb-263e-4f06-8f12-88194a7dc032 true Number Number false 0 7617 12719 42 100 7639.5 12769 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true c0eece22-6db9-450a-84da-b6446c00f6e7 true Stream Filter Stream Filter 7510 12514 89 64 7555 12546 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream c3900b5d-eedd-4dc1-9dc6-b2ecca19523f true Gate Gate false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 7512 12516 28 20 7527.5 12526 1 1 {0} 0 2 Input stream at index 0 ff17ea2d-1547-4060-be01-e1f56ce0678b true false Stream 0 0 true 749b8b54-b38e-490b-86d6-0135fb7658d1 1 7512 12536 28 20 7527.5 12546 2 Input stream at index 1 e321a03c-647a-4cbd-9296-2143d405dba1 true false Stream 1 1 true 55233cdb-263e-4f06-8f12-88194a7dc032 1 7512 12556 28 20 7527.5 12566 2 Filtered stream 9fb6c367-789d-4429-b55c-b390791391fd true false Stream S(1) false 0 7570 12516 27 60 7585 12546 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values ebd5302f-d62d-47d8-bd9f-a5c55eb9d9e2 true Number Slider false 0 7478 12439 150 20 7478.294 12439.56 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 5e8d1927-3e40-48e5-b130-19494db5d000 true Panel false 1 8f364de1-b7e7-4578-aab1-55dfe4fa0dd1 1 Double click to edit panel content… 7458 13214 185 271 0 0 0 7458.365 13214.82 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true a7804f21-ef86-4385-9b58-89ada0927d45 true Bounds Bounds 7485 13161 122 28 7549 13175 1 Numbers to include in Bounds 00ec7155-9f58-4f96-bb4a-df1e7b52cb44 true Numbers Numbers false 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 1 7487 13163 47 24 7512 13175 Numeric Domain between the lowest and highest numbers in {N} e797e490-c7b9-4597-930b-c8696eeb879e true Domain Domain false 0 7564 13163 41 24 7586 13175 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true bd253782-5888-4882-b26c-d089e5f118eb true Expression Expression 7447 13575 194 28 7547 13589 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d4f23f43-91dd-4f7f-9a50-a0f5e7cdcc05 true Variable O O true 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 1 7449 13577 14 24 7457.5 13589 Result of expression 8f364de1-b7e7-4578-aab1-55dfe4fa0dd1 true Result false 0 7630 13577 9 24 7636 13589 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 57eb5ebf-a05f-4bb4-9967-b7b3c1687c8c true Expression Expression 7361 13789 367 28 7547 13803 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 72e0a842-1f26-4d8a-9230-90678f4e51e4 true Variable O O true 2e500c78-c54a-4ee9-9dc5-2a16260d83ce 1 7363 13791 14 24 7371.5 13803 Result of expression ce276144-033b-4828-84de-119527b4e8a7 true Result false 0 7717 13791 9 24 7723 13803 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2102b6f6-7762-401d-b96b-e1b63393697b true Panel false 0 ce276144-033b-4828-84de-119527b4e8a7 1 Double click to edit panel content… 7458 13751 179 20 0 0 0 7458.504 13751.68 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5494d448-a9bd-4b32-86e1-470ecb156672 1 bdda6eac-8b5e-4083-a014-e412699ab434 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 51c29661-5f00-4270-8e5d-51bb166711f7 true Scale Scale 7467 9949 154 64 7551 9981 Base geometry 4954fbcf-ce99-483a-927c-4260a5d275b8 true Geometry Geometry true 653b9b1f-4388-4601-9964-cb0f37000c42 1 7469 9951 67 20 7512 9961 Center of scaling 718f7a66-71a9-4e17-8fb8-90910579c5c7 true Center Center false 0 7469 9971 67 20 7512 9981 1 1 {0} 0 0 0 Scaling factor 6af61342-b613-4e04-9efa-e5c467207810 1/X true Factor Factor false 6f2328a6-1197-4fad-88b8-fe947c5630c5 1 7469 9991 67 20 7512 10001 1 1 {0} 0.5 Scaled geometry 760de91d-5d97-4083-aa56-7dd74c45bd70 true Geometry Geometry false 0 7566 9951 53 30 7594 9966 Transformation data a2505763-ea80-48aa-9643-dd62f69a75fc true Transform Transform false 0 7566 9981 53 30 7594 9996 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 92fba1b4-6fcd-49c0-9172-b5cd7ee1712b true Point Point false 760de91d-5d97-4083-aa56-7dd74c45bd70 1 7522 9916 50 24 7547.654 9928.212 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true ce5697fc-79fa-4cd1-9822-346f09145cf9 true Mirror Mirror 7489 9309 138 44 7557 9331 Base geometry febbf835-e2ea-4900-91ad-5006c61de3b7 true Geometry Geometry true 5494d448-a9bd-4b32-86e1-470ecb156672 1 7491 9311 51 20 7518 9321 Mirror plane 364d9328-2306-438c-bd7d-8b49fd8bf32e true Plane Plane false 0 7491 9331 51 20 7518 9341 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 5c69e156-6394-4c54-82c6-5cde48ae47cc true Geometry Geometry false 0 7572 9311 53 20 7600 9321 Transformation data c3a2fa55-fe7c-47de-b6bc-f741c45a0b17 true Transform Transform false 0 7572 9331 53 20 7600 9341 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 289362ef-c456-475f-a4a5-7610e305e8d9 true Curve Curve false 3b382b54-9bc9-4959-a883-d04a5002518d 1 7538 9207 50 24 7563.904 9219.222 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 620f4604-c9b2-4225-ab41-aaf06f6c632a true Relay false 26d7535a-4156-4451-9c50-40afd7e85fd7 1 7526 13089 40 16 7546 13097 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 879e5696-96c6-42cb-af24-fa0abdae663d true Curve Curve false 654c0ab1-b14e-4de4-bed5-84f08c62833b 1 7092 13483 50 24 7117.403 13495.68 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 26d7535a-4156-4451-9c50-40afd7e85fd7 true Curve Curve false 13b6e180-4b83-4157-8193-af265fe3ae92 1 7091 13193 50 24 7116.5 13205.83 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 384b46ce-30e8-4d44-97a1-a03503d802b4 true Scale Scale 7036 13228 154 64 7120 13260 Base geometry 0694b910-5c39-4000-b6c5-861a755ce964 true Geometry Geometry true 879e5696-96c6-42cb-af24-fa0abdae663d 1 7038 13230 67 20 7081 13240 Center of scaling 376624b9-b0fa-4aec-9866-51a2413dda29 true Center Center false 0 7038 13250 67 20 7081 13260 1 1 {0} 0 0 0 Scaling factor 307cbdab-010d-4c0c-8196-3ab04cd777e0 2^X true Factor Factor false 4bbdaea1-5551-4ab2-911a-d23c202e61b0 1 7038 13270 67 20 7081 13280 1 1 {0} 1 Scaled geometry 13b6e180-4b83-4157-8193-af265fe3ae92 true Geometry Geometry false 0 7135 13230 53 30 7163 13245 Transformation data 5c6566e0-3b09-493c-989b-16204b0fdad8 true Transform Transform false 0 7135 13260 53 30 7163 13275 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 879e5696-96c6-42cb-af24-fa0abdae663d 26d7535a-4156-4451-9c50-40afd7e85fd7 384b46ce-30e8-4d44-97a1-a03503d802b4 27899f96-8899-44d3-a06c-50d23c4c5623 4dc7bcc7-5910-4821-b3a9-9c406ad94215 7d19420a-9c9b-4759-80ad-6014ae313ab8 81158720-bb50-43f1-9088-66dce4c36f28 d7b476c4-a7ee-4401-9e6e-7eec391f2b89 4bbdaea1-5551-4ab2-911a-d23c202e61b0 797bda74-90d7-46e9-ac0c-d7d7648f6440 22fd4b81-9e88-42b4-814a-e63ab43f594b 11 04ceed38-ed46-46cb-9346-2fa1b74bcf17 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 34abd1c9-c536-44ad-8046-d4107bdabe6c true Move Move 7489 9245 138 44 7557 9267 Base geometry b484cdc5-ec24-4370-a67e-738d9cc791db true Geometry Geometry true 5494d448-a9bd-4b32-86e1-470ecb156672 1 7491 9247 51 20 7518 9257 Translation vector 86fa2a3a-b9eb-40af-8ffe-875a2280e76e true Motion Motion false 0 7491 9267 51 20 7518 9277 1 1 {0} 7.5 0 0 Translated geometry 3b382b54-9bc9-4959-a883-d04a5002518d true Geometry Geometry false 0 7572 9247 53 20 7600 9257 Transformation data 0bd32124-105b-419a-b729-013f3c3881cc true Transform Transform false 0 7572 9267 53 20 7600 9277 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 4dc7bcc7-5910-4821-b3a9-9c406ad94215 true Digit Scroller false 0 12 2 0.0000000000 6989 13440 250 20 6989.229 13440.06 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7d19420a-9c9b-4759-80ad-6014ae313ab8 true Panel false 0 0 16.93121320041889709 7048 13318 144 20 0 0 0 7048.967 13318.54 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 81158720-bb50-43f1-9088-66dce4c36f28 true Curve Curve false 0 7091 13150 50 24 7116.5 13162.83 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d7b476c4-a7ee-4401-9e6e-7eec391f2b89 true Curve Curve false 0 7095 13620 50 24 7120 13632.78 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values fcbee14a-4d93-4cf2-b3db-3ad085292274 true Panel false 0 0 0.00137956207 7328 13962 439 20 0 0 0 7328.886 13962.15 255;255;255;255 false false true false false true 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 5b0dc039-c379-4b69-b183-c35d14dfb12a true End Points End Points 7914 9940 96 44 7964 9962 Curve to evaluate 21c6857a-2bd3-408a-acdc-43fe9720a5c1 true Curve Curve false 86b4e4b6-71b5-4a82-8d28-6b0279fe4e92 1 7916 9942 33 40 7934 9962 Curve start point f36d4b80-4ba9-469a-911d-ecce3fc3735e true Start Start false 0 7979 9942 29 20 7995 9952 Curve end point 5a98d27e-8c17-4c11-b77d-5566adc782f6 true End End false 0 7979 9962 29 20 7995 9972 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 6ef4a988-536b-4f39-beb0-56f227c59e41 true Rectangle 2Pt Rectangle 2Pt 7899 9837 126 84 7957 9879 Rectangle base plane ffc942fb-fb6d-45a5-894c-025f4a62a69b true Plane Plane false 0 7901 9839 41 20 7923 9849 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. a7ba301c-c27d-46e2-98e5-f5fbc04314d1 true Point A Point A false f36d4b80-4ba9-469a-911d-ecce3fc3735e 1 7901 9859 41 20 7923 9869 1 1 {0} 0 0 0 Second corner point. be8ade80-82dc-41d6-a354-14237df4856c true Point B Point B false 5a98d27e-8c17-4c11-b77d-5566adc782f6 1 7901 9879 41 20 7923 9889 1 1 {0} 10 5 0 Rectangle corner fillet radius 16b7f1d7-87cd-4f97-b32d-f4947664234b true Radius Radius false 0 7901 9899 41 20 7923 9909 1 1 {0} 0 Rectangle defined by P, A and B 1eceb20d-1e58-45a1-82a8-324db5623b2f true Rectangle Rectangle false 0 7972 9839 51 40 7999 9859 Length of rectangle curve 6894ffb6-08bf-4f64-96bb-54dc822f0167 true Length Length false 0 7972 9879 51 40 7999 9899 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true 34d1b0b8-7e06-4481-8b88-e5dc3e59deba true Deconstuct Rectangle Deconstuct Rectangle 7891 9754 142 64 7959 9786 Rectangle to deconstruct b0596a45-b198-4d45-9a01-aa7e51f8d16e true Rectangle Rectangle false 1eceb20d-1e58-45a1-82a8-324db5623b2f 1 7893 9756 51 60 7920 9786 Base plane of rectangle 5b80bcb2-007d-4951-81f5-936b7a4c8ce0 true Base Plane Base Plane false 0 7974 9756 57 20 8004 9766 Size interval along base plane X axis d834c604-6ed5-424c-938b-87006d8709ac true X Interval X Interval false 0 7974 9776 57 20 8004 9786 Size interval along base plane Y axis e3b6c265-94b2-40eb-a5ae-d6ade5062c54 true Y Interval Y Interval false 0 7974 9796 57 20 8004 9806 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true b512e8df-c804-43fa-80f5-c035b2e44c88 true Deconstruct Domain Deconstruct Domain 7910 9627 104 44 7968 9649 Base domain e12dfecf-5c94-4290-bcf1-e79a8b8d931f true Domain Domain false e3b6c265-94b2-40eb-a5ae-d6ade5062c54 1 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c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5b0dc039-c379-4b69-b183-c35d14dfb12a 6ef4a988-536b-4f39-beb0-56f227c59e41 34d1b0b8-7e06-4481-8b88-e5dc3e59deba b512e8df-c804-43fa-80f5-c035b2e44c88 ff341083-07d1-4673-b7ef-ea33fa9113c2 ec0664dc-e2c7-4226-b0d4-35822abd6b61 86b4e4b6-71b5-4a82-8d28-6b0279fe4e92 b09beea0-b303-4bd8-86ed-e165609c0970 26d0d500-b462-4c99-872b-9726e16594d3 e9fafb6a-dcd6-496c-a636-30117cb488ef 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d 9e8d26b2-7e97-48ec-ae49-67a48ce8ebf7 12 5db88eb8-c00e-4933-a6bf-404c9e6b6bf8 Group d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 86b4e4b6-71b5-4a82-8d28-6b0279fe4e92 true Curve Curve false 5494d448-a9bd-4b32-86e1-470ecb156672 1 7940 10013 50 24 7965.545 10025.43 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true b09beea0-b303-4bd8-86ed-e165609c0970 true Curve Curve false fb90415c-1b41-44c2-84d3-02937171eb06 1 7940 9451 50 24 7965.329 9463.678 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 26d0d500-b462-4c99-872b-9726e16594d3 true Move Move 7891 9251 138 44 7959 9273 Base geometry aad31805-b7c4-4dad-b9fd-3613cbb04142 true Geometry Geometry true b09beea0-b303-4bd8-86ed-e165609c0970 1 7893 9253 51 20 7920 9263 Translation vector 1dfdf926-8087-497d-be92-6f601ca931c5 true Motion Motion false 184eb17b-e291-4ca3-a3c1-560f57675d83 1 7893 9273 51 20 7920 9283 1 1 {0} 5 1.5 0 Translated geometry 7b99d806-1719-451d-92aa-49432beecc18 true Geometry Geometry false 0 7974 9253 53 20 8002 9263 Transformation data 77a44bf2-d8be-423d-8647-1885d329d7f2 true Transform Transform false 0 7974 9273 53 20 8002 9283 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true e9fafb6a-dcd6-496c-a636-30117cb488ef true Curve Curve false 7b99d806-1719-451d-92aa-49432beecc18 1 7937 9207 50 24 7962.66 9219.891 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel 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object fe8fda7a-61a0-4712-ad3e-8e26eaf5a221 true Relay false 1a7f5de6-38f3-4d31-8db7-4a12c24c79d7 1 7548 11945 40 16 7568 11953 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 653b9b1f-4388-4601-9964-cb0f37000c42 true Relay false cf3b5cee-2d7d-43f1-bf8d-d5bf6e23c663 1 7548 11722 40 16 7568 11730 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true dfe2545b-c3c0-46a7-addc-20709cae7a4d true Scale Scale 7491 11758 154 64 7575 11790 Base geometry c83d92e1-4911-4bb4-b076-76d374c7a22c true Geometry Geometry true accb7566-1c4f-472e-95ae-bf5b9b0e62fb 1 7493 11760 67 20 7536 11770 Center of scaling be49679d-77d6-4a82-a2b4-a5912884c691 true Center Center false 0 7493 11780 67 20 7536 11790 1 1 {0} 0 0 0 Scaling factor 1186895b-b730-42f7-aab4-2274fa434fd2 2^X true Factor Factor false 7101556a-3ae8-4013-a010-ecff577fe9b9 1 7493 11800 67 20 7536 11810 1 1 {0} 0.5 Scaled geometry cf3b5cee-2d7d-43f1-bf8d-d5bf6e23c663 true Geometry Geometry false 0 7590 11760 53 30 7618 11775 Transformation data 2abb8b43-7a59-4444-a311-300dc7b8e056 true Transform Transform false 0 7590 11790 53 30 7618 11805 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 7101556a-3ae8-4013-a010-ecff577fe9b9 true Digit Scroller false 0 12 7 16.00000 7449 11842 250 20 7449.391 11842.6 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects accb7566-1c4f-472e-95ae-bf5b9b0e62fb 1 56e8a40e-11a7-4931-84ec-68eda6076c5e Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 4bbdaea1-5551-4ab2-911a-d23c202e61b0 true Relay false 9b841fa1-df46-463a-8a58-7dc4660c77b4 1 7097 13406 40 16 7117 13414 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 797bda74-90d7-46e9-ac0c-d7d7648f6440 true Panel false 0 0 30.93121320041889709 7046 13369 144 20 0 0 0 7046.223 13369.37 255;255;255;255 false false true false false true 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 5653c313-d529-43a0-bfca-d8e5d3a366c3 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00000752430 7421 14225 251 20 7421.796 14225.26 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true 9e8d26b2-7e97-48ec-ae49-67a48ce8ebf7 true Vector XYZ Vector XYZ 7891 9337 139 64 7976 9369 Vector {x} component 81abd812-c99e-4e18-b6d3-42f829e562ef true X component X component false 0 7893 9339 68 20 7928.5 9349 1 1 {0} 7.5 Vector {y} component 9cef1672-929f-4639-9fc5-0b549cc8f135 true Y component Y component false 0 7893 9359 68 20 7928.5 9369 1 1 {0} 1.5 Vector {z} component a365c0e0-9e55-4524-a3b4-d67262f224d3 true Z component Z component false 0 7893 9379 68 20 7928.5 9389 1 1 {0} 0 Vector construct 184eb17b-e291-4ca3-a3c1-560f57675d83 true Vector Vector false 0 7991 9339 37 30 8011 9354 Vector length 326befbc-5d30-41fe-a27d-2666691685f0 true Length Length false 0 7991 9369 37 30 8011 9384 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 7df1562a-5592-4dee-b24d-499aa859f494 Number Number false b56666d6-9797-4a5c-90a4-d2e1b18ecfdc 1 11486 23554 50 24 11511.84 23566.8 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers b56666d6-9797-4a5c-90a4-d2e1b18ecfdc Digit Scroller false 0 12 1 0.00032712430 11385 23601 251 20 11385.66 23601.24 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 7df1562a-5592-4dee-b24d-499aa859f494 b56666d6-9797-4a5c-90a4-d2e1b18ecfdc cd2b1132-cbf4-4723-9453-261983046e3b e48d37a4-31d8-475b-b2b4-409089413c61 ca0b4c8e-f4b8-419c-846a-9f1a9863bf4b d375b5ca-e8b1-4d1a-8abb-3fd34cb27870 7b693454-2db5-44a3-9c4a-cc11487e6907 3a650aef-6a0b-4f56-bc6c-8e2ab6306e69 ffaefc29-5720-4d1d-8f74-3ff88cea009f 4582f1fd-2c5d-4691-98fe-d8499b5fe9f4 10 470e5d54-1943-4d5a-a09a-6ad9e37a917e Group 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dkVH7IZO2BOdsQ+6oCvK0Q3dcSB64GD0RC9U4DD0xhHog77oh2NQiePRHydiAAZiEAajCmdgCM7CUJyLYRiOaozASFyEURiNMbgMNRiLcbgK43EtJuAG1OJmTMQkTMYUTMU01GE6ZmAmZmMO5uJ+zMODmI+HsQCPYSEWoR5PYTGexhI8i6V4AcvwMpbjVazAG1iJN9GAd7AK72M1PsIafIpGrMU6fI71+Aob8C2+/+L7H8zQHC3QEluiFbZBa7RBW+yAdmiPDtgVHbEbOmFPdMY+6IKuKEc3dMeB6IGD0RO9UIHD0BtHoA/6oh+OQSWOR3+ciAEYiEEYjCqcgSE4C0NxLoZhOKoxAiNxEUZhNMbgMtRgLMbhKozHtZiAG1CLmzERkzAZUzAV01CH6ZiBmZiNOZiL+zEPD2I+HsYCPIaFWIR6PIXFeBpL8CyW4gUsw8tYjlexAm9gJd5EA97BKryP1fgIa/ApGrEW6/A51uMrbMC3KBveqBmaowVaYku0wjZojTZoix3QDu3RAbuiI3ZDJ+yJztgHXdAV5eiG7jgQPXAweqIXKnAYeuMI9EFf9MMxqMTx6I8TMQADMQiDUYUzMARnYSjOxTAMRzVGYCQuwiiMxhhchhqMxThchfG4FhNwA2pxMyZiEiZjCqZiGuowHTMwE7MxB3NxP+bhQczHw1iAx7AQi1CPp7AYT2MJnsVSvIBleBnL8SpW4A2sxJtowDtYhfexGh9hDT5FI9ZiHT7HenyFDfgW3//B+z+YoTlaoCW2RCtsg9Zog7bYAe3QHh2wKzpiN3TCnuiMfdAFXVGObuiOA9EDB6MneqECh6E3jkAf9EU/HINKHI/+OBEDMBCDMBhVOANDcBaG4lwMw3BUYwRG4iKMwmiMwWWowViMw1UYj2sxATegFjdjIiZhMqZgKqahDtMxAzMxG3MwF/djHh7EfDyMBXgMC7EI9XgKi/E0luBZLMULWIaXsRyvYgXewEq8iQa8g1V4H6vxEdbgUzRiLdbhc6zHV9iAb1H2eaNmaI4WaIkt0QrboDXaoC12QDu0Rwfsio7YDZ2wJzpjH3RBV5SjG7rjQPTAweiJXqjAYeiNI9AHfdEPx6ASx6M/TsQADMQgDEYVzsAQnIWhOBfDMBzVGIGRuAijMBpjcBlqMBbjcBXG41pMwA2oxc2YiEmYjCmYimmow3TMwEzMxhzMxf2YhwcxHw9jAR7DQixCPZ7CYjyNJXgWS/ECluFlLMerWIE3sBJvogHvYBXex2p8hDX4FI1Yi3X4HOvxFTbgW5SNaNQMzdECLbElWmEbtEYbtMUOaIf26IBd0RG7oRP2RGfsgy7oinJ0Q3cciB44GD3RCxU4DL1xBPqgL/rhGFTiePTHiRiAgRiEwajCGRiCszAU52IYhqMaIzASF2EURmMMLkMNxmIcrsJ4XIsJuAG1uBkTMQmTMQVTMQ11mI4ZmInZmIO5uB/z8CDm42EswGNYiEWox1NYjKexBM9iKV7AMryM5XgVK/AGVuJNNOAdrML7WI2PsAafohFrsQ6fYz2+wgZ8i7KRjZqhOVqgJbZEK2yD1miDttgB7dAeHbArOmI3dMKe6Ix90AVdUY5u6I4D0QMHoyd6oQKHoTeOQB/0RT8cg0ocj/44EQMwEIMwGFU4A0NwFobiXAzDcFRjBEbiIozCaIzBZajBWIzDVRiPazEBN6AWN2MiJmEypmAqpqEO0zEDMzEbczAX92MeHsR8PIwFeAwLsQj1eAqL8TSW4FksxQtYhpexHK9iBd7ASryJBryDVXgfq/ER1uBTNGIt1uFzrMdX2IBvUebTqBmaowVaYku0wjZojTZoix3QDu3RAbuiI3ZDJ+yJztgHXdAV5eiG7jgQPXAweqIXKnAYeuMI9EFf9MMxqMTx6I8TMQADMQiDUYUzMARnYSjOxTAMRzVGYCQuwiiMxhhchhqMxThchfG4FhNwA2pxMyZiEiZjCqZiGuowHTMwE7MxB3NxP+bhQczHw1iAx7AQi1CPp7AYT2MJnsVSvIBleBnL8SpW4A2sxJtowDtYhfexGh9hDT5FI9ZiHT7HenyFDfgWZV80aobmaIGW2BKtsA1aow3aYge0Q3t0wK7oiN3QCXuiM/ZBF3RFObqhOw5EDxyMnuiFChyG3jgCfdAX/XAMKnE8+uNEDMBADMJgVOEMDMFZGIpzMQzDUY0RGImLMAqjMQaXoQZjMQ5XYTyuxQTcgFrcjImYhMmYgqmYhjpMxwzMxGzMwVzcj3l4EPPxMBbgMSzEItTjKSzG01iCZ7EUL2AZXsZyvIoVeAMr8SYa8A5W4X2sxkdYg0/RiLVYh8+xHl9hA75FmW+jZmiOFmiJLdEK26A12qAtdkA7tEcH7IqO2A2dsCc6Yx90QVeUoxu640D0wMHoiV6owGHojSPQB33RD8egEsejP07EAAzEIAxGFc7AEJyFoTgXwzAc1RiBkbgIozAaY3AZajAW43AVxuNaTMANqMXNmIhJmIwpmIppqMN0zMBMzMYczMX9mIcHMR8PYwEew0IsQj2ewmI8jSV4FkvxApbhZSzHq1iBN7ASb6IB72AV3sdqfIQ1+BSNWIt1+Bzr8RU24FuUjWrUDM3RAi2xJVphG7RGG7TFDmiH9uiAXdERu6ET9kRn7IMu6IpydEN3HIgeOBg90QsVOAy9cQT6oC/64RhU4nj0x4kYgIEYhMGowhkYgrMwFOdiGIajGiMwEhdhFEZjDC5DDcZiHK7CeFyLCbgBtbgZEzEJkzEFUzENdZiOGZiJ2ZiDubgf8/Ag5uNhLMBjWIhFqMdTWIynsQTPYilewDK8jOV4FSvwBlbiTTTgHazC+1iNj7AGn6IRa7EOn2M9vsIGfIsyv0bN0Bwt0BJbohW2QWu0QVvsgHZojw7YFR2xGzphT3TGPuiCrihHN3THgeiBg9ETvVCBw9AbR6AP+qIfjkEljkd/nIgBGIhBGIwqnIEhOAtDcS6GYTiqMQIjcRFGYTTG4DLUYCzG4SqMx7WYgBtQi5sxEZMwGVMwFdNQh+mYgZmYjTmYi/sxDw9iPh7GAjyGhViEejyFxXgaS/AsluIFLMPLWI5XsQJvYCXeRAPewSq8j9X4CGvwKRqxFuvwOdbjK2zAtygb3agZmqMFWmJLtMI2aI02aIsd0A7t0QG7oiN2Qyfsic7YB13QFeXohu44ED1wMHqiFypwGHrjCPRBX/TDMajE8eiPEzEAAzEIg1GFMzAEZ2EozsUwDEc1RmAkLsIojMYYXIYajMU4XIXxuBYTcANqcTMmYhImYwqmYhrqMB0zMBOzMQdzcT/m4UHMx8NYgMewEItQj6ewGE9jCZ7FUryAZXgZy/EqVuANrMSbaMA7WIX3sRofYQ0+RSPWYh0+x3p8hQ34FmVjGjVDc7RAS2yJVtgGrdEGbbED2qE9OmBXdMRu6IQ90Rn7oAu6ohzd0B0HogcORk/0QgUOQ28cgT7oi344BpU4Hv1xIgZgIAZhMKpwBobgLAzFuRiG4ajGCIzERRiF0RiDy1CDsRiHqzAe12ICbkAtbsZETMJkTMFUTEMdpmMGZmI25mAu7sc8PIj5eBgL8BgWYhHq8RQW42kswbNYihewDC9jOV7FCryBlXgTDXgHq/A+VuMjrMGnaMRarMPnWI+vsAHfomxso2ZojhZoiS3RCtugNdqgLXZAO7RHB+yKjtgNnbAnOmMfdEFXlKMbuuNA9MDB6IleqMBh6I0j0Ad90Q/HoBLHoz9OxAAMxCAMRhXOwBCchaE4F8MwHNUYgZG4CKMwGmNwGWowFuNwFcbjWkzADajFzZiISZiMKZiKaajDdMzATMzGHMzF/ZiHBzEfD2MBHsNCLEI9nsJiPI0leBZL8QKW4WUsx6tYgTewEm+iAe9gFd7HanyENfgUjViLdfgc6/EVNuBblCn/y6bWsv/r48Tv8o9HPG4i/ndPHfLbiIcGe/Gy1bsdbgrNif9/7yPq/JclBqhTh/ynN33a4Z/9zu5io9PyZx6LTpn6157/Pn+wWLN+0RG/XRWmvrh4SOmmUoVYbX4r5vwXD039dPW/2/EW3w2yljUPf27q+1oYu5TGjRQJHwd3H9DBzOs/3anHv9v3FV28W/RZ7t3K1Bd4pC+wGDJGHLh5b4Xzug9MvYXu33mVomLovQ5tjPamfq1zjkoXPV64jek7PfHNR6b+IuHf/fEX02LmrQqY18vUPzbGrjlx9UshX9GmcMHVfqZeOPTZ+/2cJIpvn/vo9V43U3ddOuXgDbfJYtRvrh/HNQw09fk7zrzf/0Axw/l2z+lPPjP1Pamf/PFiQ5DoOPI3W+0vClMfELnz/esKFsOjX+7r9Wi4qR91aGXe/vE0MaPT5DlFC0aaes2Iz96/XpXo304xdfvkUabe/5a6w7bd00X9FxbJzX4Ya+pW4zPfH4cZokd5k/bpg8ab+oNtf+RkjftKWFmUtLt42d/Ut+VZvz8+IaJJ9ne+P+RMMvWwjZ+Lw+9ChH9G4EjDz4Gm7vBx9PvjNlPcu71M26pzsKmfWr3/9+IfZonrH7WeNKdSZepXtXfeH8/ZwtXfJbHmwgxT7ze0Q+jvU0JFed3B4dPvh5j6/Q1fvD/Oc8SjJ4d7d3KabeqLFsQ03G4xVyT3HNNy1po5pq69tv/98Z8r0mI37N3WMczUux03aI1H5omWd9afa1YWbupftbZ5/76EiYXW/e3fXleb+n79sB7vZs4XU9ZZ+8+eEWHqG09HvH+/wkXHUeqFD5pEmnpB2/SjrW0XCN+BU1S9ji40dbOEsqbtHy8Qp+SVzy/GLzb13u3f9WwzXS06dX5rv/brb019Ulj79++vWmy+fG7/22+WmLrNsL5ft/f4WuTIlYlXtUtNfWaC4v37/rVo2irph2Mly039huLL4w5tI8S8Tv5Pe7f5ztSX+M95fz5EiK+PlXzXY0SsqZ87HtPM6X6EWODnGpuRsMLUf5m78f158o3YLV+ren07ztSv+O8a2/fEN2LRr7fXLxuxSpo37GDdfudIMXLW4CWxx1abes89p7a5JUYKxbxt26Z4rZE+L88ueR1+Fyk69zYPDL681tQvexrufjpvoXhmXN7v1qIEUy9f+iT+xNWF4kFbm5VuLhtMXZX+st/QYYtE14snL+XWbjT1Q9vM35+Hi0T6pyOHjbunNfVvxreJ8um0WHyWNrS5+41Npr75WIf35+di8dfBcUbnis3S9k92OTXWuFhcsHk1IPDWFlOPGt199u9TokT7iSesa58lmnqpspfVpDNRYrBN16P2LZOk7ef3/vGG27ci9Xra7Lf9tpq671d9JganfSsWfHbK/8yUZFM/MaL369stosXGX1oe3bllm6k/H9lTN3NhtBj96lXpj1dSTH3w2I8+f2iIFr4h7X/r1S3V1Nt42z8K81sivoitvNf32x2m/knrdhuNR5aIv8ouT6m+kWbqO7TN3CO7x4jJISd+/KW7TroO/PSi4sWGGHEifF/KtltSfzP5wdIlr2KE38k681a7dpn6xdnl3d7NXCo81t2w6heaLh2Hk0VnYi8tFT2bpV2wHbDb1G2HZ4ZZDFkmOk3VzLrWPMPUlb+vbbc2e5kQ+lPGNQapT1aGHW5tu1z8HZC5ZujJPdLnepvvlE3Ll4uoMWGjP8jINPVjCT1k7R8vFy+Lvwyw3Zhl6ndXLBvv11cjvvxz9+nJmmxTX/ZNtVOb6Rphfmhrfv3ivab+V6zyxcUkjXgxM8LLYlGOqa/Zefi3TaUaEWqxULM1ep+ptz9snzrB7DtRnG1I+nllrqk/OhgT3t7jO7FkyvMd27b+YOp/fFepuDb/O3HL+cWP7nn7TX14m8EfbNv9nXjdwelZ1sUDpl477Pt7gde/E4c/uOVhviTP1Ie2fHrEoW2sSOzbdN+hdj+a+svR3mtvescKz4tdK2v3ST30xdYgXXSsGBc1PvD0Fwel8/NZteuMvFjxeEfRT4MfS93QZVATp/uxYln+ikWB2p+kz+/c2N/vdV4hTvY7JZd/mm/q3ifO7skat0JsiUpRn74n9fOv20bNWb1CPJX1K+6VdMjUI6zG+/Y9sUL8/HHK0WDfw6b+Q7nW4UntCvHnXLNbC82OmHrAp6VP9zvHiRu2q04tLpL6xa7mP6uD48TrhM9rw5cVSNe3UI8tbolxotPH0xtmDjsqfd5fhc6s+y1ORE14GT675THpe+rw94MOv4sTxWNcK5ZelXqnZUUtogasFNe+djz9U+ZxU1/xyd0/Pp23UuS1MJ7+YEmhqXc50nT/a91KMWbaidDsCSdMvenDDzUnrq4Um49kfxojLzL1/OxB45dbrRJdJ1w+s63dSVNvdsXXaeiwVWJweOCuVi+k3ttv8nOzqFVivE7eJ1ytl64nj2eUFP+wSvy2bMWgdQ+kvkM7O2XV3VXi4MND4o7qZ1Pv0HF2mE+n1aL0n2troiqlXhQ43avl2NUi8NDLoAmBp6TXO3CidWncatHUo68s6obU98Z9fmf9sdWiZG3MscdBv0j3CV0/zh9rXC3qjry5/NNtqf/0p82qdj3jhexMkfZKaLH0vbzNOOn3KfEivvDi4Im1Uh/Up6T395vixcAUhd1ny36Vrieztr2eeCZeZAV/pF5jddrUp3UPOW/3Jl581Sx2zYgdUo8e5LzzhtsaUbQqYt9i+RlTb7L4njo1dI04fc2sS7fTUn94aPuw4LQ1wv3RsB6jgktMfeoZX1vH8jXCN3dYq/p6qZ9fWnvvdou14pylTQfXpN9M/UnO5iO7xVpx5b4+oXbAWVM/8GHfNTMXrhW3ek877Fsh9eG5xwN77VsrVv/YcP2zpeek+wRHb5eHhrUiZfJer3NOpab+8xfFb3I6rBN/vIzs+/aC1N1ffHYxzG+dsJi14MH1JedNPeafHJ1r7DqRMz/76Fd9L5j6Y+t2EcYj60T7yo8f6v6Uuqx9+PCDT9aJ3lHtTyRtvihdT0p/to3sniA8Yt29evQok96XJlb3B0xOEDM+7HJEFSv1NjF+R15sSBDu6tIw2W2p65qtiD9anCAejjlr1nzoJen+eeaByUteJYhRW9IcFqdLffb0S32GyNeLDJtLUyc0uyy9j/rq129nrhc/7Xw4J22O1O99/k+pfvt6kdZSXRV4UequR57viL20XtxyrFGvG/i7qbe6VhPu3XyDGPjDvYNuO6V+a/Y1YTFkg9i1uGr0hBblpv5h38PWJREbxLDP1feeRUo97Hb87TXZG8TkCusure5IPcZ37MFRNzeI/sbRyVnKK6bet0eLFa1tN4rWXxx4dUYv9fkfH55w8YuN4qPUwgfhblel63bPiU6blm8UETvfmO3cI/Vnv1bXjT+0UVxv9upZoP016Xv5t/m/2j7eKO4u+3T8Hq3UTy+s9Z1nrRWlh4ef11hWmPrO2p6f+PXViqkTdebG76S+YZB/534jtMJodm37Pw1Sn+oY3bTNdK2YELxgYOK31019fHzy46dLtCLX4q/FF15IfZjvgd8vJmlFXNLdplmLb5j6akXR8bwftWJDxoWlji+l/tr7192bSrVC/8una4bE/GHq5v2L10U80IqOK3J/kzWpNPWVfx77ZoLZJpE6f/+dsNVSr+62d4p7l03iy5ZnFse1/dPUO17fMLy9xybRsXKpi+82qWuuzev7fPwmsWl6YIbe6aZ0Pv8jPrg2f5Po2b4q9tGPUne1bPX6SPwmYQhLn3dWccvUz94vvZO8e5NQ3nAw++qS1EfPWnn226JNYuTMJ5F/9DeYetoU94OB1zcJy9/7f1W1ROpdt1/f9lndJjE2dOeO86el/lN95HcObTeLXeUvFybb3Db1vJEWc9703iza/2ruNWKa1J8Frlfe9N4svKtWjKzIlfpx85YeJ6dtFn43BleNfS31Ox1iPtRFbxaFfk9m7ve9Y+rbZty1+O77zSL2ZnDXf1KkrisQT6fnbRZ/fzxhWo8aqX/4UHtl2LnNIv3m+miF111TP/rL1cLu9zeLpSsv/zxyk9RXd2yXYd5ki9hSWLXK857UbX8S6+513iJcO8V3dhxcJZ2HITMiTg/cIg7001z6e6PUr9RHTc4at0VsXqN9VXBf6tOHrFDEh20RyqMx1Wqve6bu/1bTa87qLWLWCMsnDlulHtE8oo1v+hYx6MjzyUVGqdd0n/hPnxNbxAcbW303cdR9U5/XtV9lq4otosWYlvn3M6X+Wv/8VE3tFmH+9WFvddMH0v3GlYN7z7dOFGlf/x5Xp5L6we7TtfudE0WX006nI09KvfPCJos3Dk8UYbfnB9Z2rTb1tpu2TFUHJ4o3bhFbwpdL/Wevjt7jvk0Uv/f859Qjg9SLvBP6uCUmCv8exwaHDn9o6mZzaq0/OJAoZmyJ86vOlHq9+osXf/+WKHpe7ugb1uqR9P370aY/y6sSRVcxaOU/aqmrvX775dC7RCFzzxy78prUT677a2+S/ffioIXzawfx2NQ/L22hXTzgezGgheb6iSypzzjVblGA8nuxY83XnnPa1Ujv78ctgj6d9714eenkQscYqf965dlQ+1Xfi/HOrteqHkj9UOSvvV7rvhfrLyw/eMT/ianHl65pXXn8ezHVLGpyyimpr0v1/Lvw6vfC+831Lhv6PzX1ybv/rNjx1/didl3ouMRdUn+TFla0zCpJbLOr/ny/zTPp/tnv4e5pvZLEkCT70X/GSX37nAlrFMOShPv3vxR0q5d6+I854R9NTRKzHSY8EQON0vt16+kEs6gkce/iMLPXaqmrDnz46d3NSaJ9hI338FypR97w7Fr8Q5JIWr97Sqdqqa+0H9F0T0mSyMy59tdSp79MfZbzZ9Ur7yYJy7HaA19Pl/qows7nZ71NElZv9w/5J03qR9c/+HFkp60i2qP95y3+lHrihLQkZ/etQhuTEb6/c62ptygWS1qM3SrqP/f66l6g1NMSz017NGerONy6+Nz+FKm7Rw/1Phe3Vbj7dhzX6g+pP3Xe5Zy7c6vosqBT6uvOf0ufX/9HVuuPbRULnuz7UjNV6m4HHP6af2WrmPJJXs+UnVLPfDzoyhjjVuGX27zgiztSdz7+2dGPWyWLS/otBzf2qJM+1xd67bDumSx0VwecDJsj9VVXXmv+UiSLJcqLq27/IPXS5UdCLk9JFkM2DD34tFbqj5YE+vy0KFkU1Mx/lOjxj/T8xVV9Ezcli59/HVBRvkzq+Y5ftl2Ymyxs1NFOB36Ves/uubVfnkkW40SXKKfWz029ts/DKwPvJIuXK94tGfCl1AfebXW045tkMXmd2fU7O6Q+5vkHqfUdt4nlO5t79Hsg9Tutmyy/7rZNeDU3Dm3f/4V0f3X58vRjo7eJdhY7dm5fIvWVT+K9t4duEw6Vz17qT0tdNOveK2bFNtHp9G8vV9rUm/oFva7F1LRtIvhNK5/HwVKXn25SM+ToNnHkyNb1f+2Tevaxzy90Ld8mInqN+WbbS6kfHRaW9+7pNjF2iXX63ZEvTb2X2cLNhhYpIuzmyVNlSVJ/uX1a5M9OKWJI1JBl0+9Lff7BvhPTRYpYGzZ3adLAV6Zu9aBi0IrAFDH5j15z1KulvunGrE4hC1PEfcPER88qpP7a5corb22K2Pp9xd72fV9L9xVLu1f22JcijK03KO8slXrS3HEnLE6niPjAgNUTL0n96abgtAeGFPF6td2LiB4N0n2m1nd5yesUcTvtgI9HtNQHmrVX7e2wXfy6+61T1kWp74o9oVjbf7tovvW+u77HG1P3zh3+0Ty/7eJRpM9HcTFSv2uX1cRv9nbxzYBmW/7+XerLpj+47RK7XcwufePW1uWtdF/a1fxU6x3bxcDeH+Rci5N6zv2GXU+PbBcNA3vuGn1T6kPGXfru4uXtQlXZ8eevPd6Zetnfmul5T7aLna9LDnpvkbrqq1ZDN1mmitAI+w/PPJV6d3e1Y0T3VGFMWHQtpofM9H+Sb1/ufzfeK1V439WufDpB6n99fubmJ5NThWOG39OCWKmP21dwwjYyVVgPsJ9V+aPUVx6LTf1nw/vtvJwzdPJtqWc17bHk6t5UoRmXW/5xO+n/M2/b75x8pDhVdEwdF6kaKvVmGuOg5FupwuB+NvLx11KfdNGuw7evUsVnC1f1uZQudb22Y93k9jvE25+eP2xXLnU3Zc2lwfId4uvP1zXf38zM1H9NTjrQedQOMWZJ/rU9g6R+uq79+oaZO0Ruxp39L+dIffuTOXP/1OwQzdqsur03VepXW20eWbR9h+jdpG3x4YtS73NtvdPOwzuE+69PchybNjX16KtBTTSXdght2uZHDwZKvXjj2z9VNTvE7Qvzr1nNk7pzfMSxoc3TRPPvn/26cafUnwwvSOrWLU3Y9Itv+XW51JePuBjRdEia8CzLepnXwtzUv7I5MqZqUpq4m1/0YKyQ+pDeC/r8GpEmotsM6T1modQNrV40y1yfJja13mKTu0/qvQaPub0qO00cuiWvn3NH6h9+Elk4+5c08d2BVa7xnZqZ+v3I0K0+N9PE6gzzls3HSf1YTJ+I3i/TxKi79rfux0u97vRRv5a2O4XX+k/NnH+WeouL7Xs9dt0pftKXnTn7Uupr23o1Kf1ip6hIVsZddLMwdTsztz9yQ3a+v7/tnTAwTOqLP/wrf/3ynUKWePYTWabUl96K3hCeslNM/TPjootB6vZHL8wee2inaGbnnF9o39zUx3arUcjLdoqXY4oH5H0p9YHay53aPd4pytc8zG6+SerfHVe8rDfTiT9Lm8/4pVTqL5xiZs6x1on7dhsP3bW0NPXsIdsvXe+iE6p5z16Efi5136IdQ3z76oRbUfLSCbFSt522Yu8xD50obf46ZfdJqV+6Nqp93xE60e6zVRmT30j9zK3nmu0TdGLUyJynCz9rYepl/eJqWk3XCVe7a+frv5W6d9Tfk2LCdUL/fUzSnQKpN13o/UvNEp2YntFyxyf1Uv/2+iLXqWt04pDTXwNqBrU09U2Ba7edT9KJ5L93HrKKkvqp3GXmXhk60e/RKvX3BVJvEjdhwf4fdeKHP9sfX/VS6pe2WN7oelInVu8sfGgY3MrUP964w3tjqU54vHmkzIiReoazzYF313XiS73155eKpD7YZlYn9QOdWLh/h31oEytTX/YmeYWhTid6r2nSc4631DXbc54ozXYJsza5x8tXS/1yasqkn9vuEnOfW8n3nZN6/I+hP/fvskscerHlWk3b1qb+2Rrbvul9dol2v+RZpPhLvcnvOxJtPHaJsGa/t/tpm9Qjhpi/jf18l4ibPXe0xy2pZy8aOfvv8bvEL+vvt+7To430uXaZXfaVapcYaXckK36e1H1bffVp+fxdoiJ91AL/g1IP1Q9O916yS1wu/uDo+pdS3/viSctD8buEQ7vl192HtjX1fUEx3/RI2iXkHd44+a6R+rKUe398v3uX+Gfqm2fnL0k9f0pvb4sfd4n7hxePVLW2NnWV78jcRUW7xJCvPurbzk3qLayF7YNzu0SbiE/Ov5wo9RNfWsdMur5LfLDz3iT7GKnLio/dPXN/l8javeCfiF1Sv2TmNcqjbpc4PbBFWdMzUs87uu1gdpN0IWv9qN35Gqlv3Xi+U6e26SK64ot7F2zamfrffa5r1jiki4c+qsgWn0o9v3/hg5e900V8q5kPY6ZJfdgXi8bMHZQubM5tDO+9SuoxHZofuuGdLn792M617Q9SLxwS3nnU+HQx7taA8a7lUr86Y993x6elixsxjs1Wv5b6B72LHvSdny6eZbf9ulN3G+n680nm6NTo9/vT5DP9PV+pR3X/6ier+HTR8NENh5oIqW/aXme39Pt08Tbd6UeX7VLXeQYue5KeLjbZj8/K+kXqfllb7k7Ne/+6HFJ6T62RetYSnc+FE+nC3sN9xuj2H5i652TND17n3m+nYdKSKC+pW95yszlQkS621XnuvDlb6vH7jiz68P77/c+2r1++Serbg9r8sfHvdPFkh3Ne0HGp79k4UMia7BYxk9L+irwn9YW3P96tbrNbfPDlT/dL2tpK9y1PX1rc7rxb5H6w82jAYKkbxyXOHdd7t1C13pboNFPq0Vlvz/88cLfwP1qxy0Ur9Y1rPPq7ee8WJ9d93+rr41IfvHloYvq43eLWPxYNf92X+uvATi9spu0WtTNDdhywaS9d92JOTl4Rtlt8PPJepxwvqddu/KTw7293i1+a/Lz99lypB7ks7Bqyerc488p19MStUvd8uEJTnrhbDEmcFWBZLPWRU6fd8U7fLZr12/nghVHqaV2bex868H4/Ha179OjawdTPn4re0+PEbjGxxDhYO0rqF24etUg6u1uURkVN+PRbqbdrXjzbomK3mBN3M9kxS+pzLyaXLLq3WzQfHDhgxBWpf3huUO8HtbvFuHvdJuQ07WjqdxN0aybJMkTChQUOo92kXpZ5+eGZ1hlCPzjquOt0qS/MOf+FR+cMsX7eN4FjtVI/47xpb7ZzhnDbmdz9wEmpf3TQoUWngRki3vrDoWOeSX3y1QWha4ZniHfPh/zp8qGdqac6rT3zUpkh1qxy6TZqrNQT+s7rOTc4Q6Q++2jw3uVSH/itzcob8zKEy7Qvx47Mk7rl9uV3fb/NENlv36zrcVvqd7scHHp8VYa4+/d4e2+bTtLzN+zd2TcxQ3Sdvs5p93CpOy2e+Wb7rgzxIuRm+bCFUvcJuRdodSBDzLFf8WX3LKnX3XIuiCnMEAXJeWXe16XePPLj9k9+yxDL/96hzmplb+qle+u/nnotQ2gHx04b5SX1Zy3iLpyvyhBNoxPPyL+W+mqHS328ajNEl2Otfp+UIfVWc26t2v8uQ0x61zVXf03qQYv23+naeo/w9W22dF6rzqZedHaI10b7PeLI1n8WBAipX3mcsO1drz1CZeh5YPU3Uj8QvL1uwYA94tNOZSEvs6R+Mit0rGHYHuHwifPxHyqlfs63bq9SuUc0vP8zJaOdg6l3ODfE/Oepe0T+UX3tzRFS77vPO7j/vD3Cvi7cOShG6i3mWxbsitojHuVkZTkclLrl5vh2Nqv2iN+O7UpxrJa6IaV4buyWPaJHw5a+oV27mPqPzQt/qdXtEcrhh+L+9pf680nhDl/t3yMmqzzLTq2T+pqWf0T+fnyP6PyhyuPqKanv3dHk/PDf9og+Iyc96PdK6k823HbKv7pHFG8PaH62f1dTHz8lOsapao+48UfKqZw5Uu+3/NzviX/tEU1O+Q8v2yX1TxaV92n2bo8INj/x0+AbUv/2eOJ3C60yxSH/ll6PbD40dfVvrSrudcoUfqpvrG6NkvqdTp+6TuyVKR5edP2i00qpv+3hEHfaPVNUjPym67YiqQ+flX994LBMUTx78eHgeqmnjG/ycdbYTDHvXkGXAZ0cTX3QDLO4jlMzxc8rSh9PHSj1o62OVKyemyl+v7bpxt4JUm/9a9d+9Yszhbuz0zu7r6Ue1/TT70JXZorOR9PC922Q+onPml2p2JwpVKUOXtNzpX78dqzzF7pMEbHraOzgs1K/GvrjkqM/ZIrghdpxg6qlfnK49kLv45miMLbw5CSLj6TjWdX1o5SSTFHQZPKd7U5SX1AY9E3Lq5nC3Pm7C02HS3205xe/Rt/NFDeclds2Tpd67/K7HR4bM8Vz99uThEbqs/7uGzrlbaZIiB774Qc7pf6z5UdHz7XKEn49Dpu3KpL6qNhTLTw7ZYmgYHmXXn9Kffb5toG5PbPEKL/rS2c3SP3KRMscB/csYf9B6WelnbtJ99tr971MGJolepV3D/vyM6kPKq/3eTMmS4j9r7s3nSJ1v7RnW+cHZYmYE+FRV6Klfm/8xvt/zskS0zsnLytNkXr4lGvuYxZniWM3N4+qPib1BMczsUVxWSKjc3Sd8x//n+23DC5z3Zwl1t8N3bDhtdTfLt/eZefOLNH982jXTg7dTV1ZvWxu2x+yxJd+vz0s8ZT6oL3Njyw/liUmmH19ZcdUqTf0GtDUeCZLrJifYJG8TOqDf7MYq7qSJZZuGrj5yE6p3zAuSSm7kyVaLFi7vkEv9fZmifcUxvfH03x369l3pL542hj5j2+yxJlR23u9aOpk6pfn5kR/1CpbDPXaYMztIfVxK7OKN9lli5tlSUvjR0o9pO3nbcx6Zgvz5xfvrpkj9UuhsZMiPskW8h3+Hj+uk/ouY7DujiJb3DsotG9/kPqgZjeqx4/JFrmOubKIMqkPMP9b/suUbOF4Pj+t1d9S3+y7N+qTOdni9PbI5efa95Duo9wbTu5elC16zLco+NFD6vldHlvYxmWLE11XTi2aIvXrqoWj4zZli2drW638a5nUuwWkbKlLyxa2a/KHj0qXel3Q5Oshudki+EnK/nO/St2y5MeuV45miwfx129EPJR68F/pX31+Jluk9F73p6J1T+n1yl2yD5W/P84pZ88N6C/1Xn/41fS4ky3mpR88Nu5LqTfzMZcnPcsWGovgk4nfSv2vc+O+sXiTLXasfvD07Q6pjzvufnhRy73iwN05wdpTUr82J7f+fse9YsyVd92+eCD1iD4Fgyf12Cuuf1A8rrdVL1OfOXZSzBm3vcJvwqV38v5S79tnzYlBir1imvewYaqJUk9oNfpt1ui9IjSxv+uRJVLfMjzdy27KXhH05GjFgF1ST/oofll86F5x8Z9/Jlaelrpj3ZsT9Qv3iodKWVFOjdTbt2j6JnTFXhGc9ne3XTbOpr7qh6TPrmv3ikXRj1JOekj9z34F336RtlfULn032GKa1A9fmXXk6L69orPXaLuFK6X+z7Nddb2P7hU/+T0daZUr9eLTof1TTu8VNYPe3Dx3Werrdh+b37J8r5i/NrH2p5dSr72QtDf69l7hfe7C1mLH3tJ9mrah6tHTveLW0tN334yU+lr54w+nNOwVrbslPZ62QOoT6qYHnmuRI158ElD8KEnqDz5SJX7WMUfYufRakVYk9X5vq87vc8oRbsu7DFlyX+rjzz+zcHDLEZPSvmz+XZs+0v3S5eUiQeSIa88fPj8wUOrtxiUubvDLEUNq6xwtp0l9wFqXA2GBOWL4c23KmtVS9z458n7l7BxRHVIR5Z4n9R3yew6jF+aIT1PvlVlel/qfXcwnnIjNEcufXz5iYdZXuo79uju+nzZHWJ89Nsy1r9R3zfrlxI4dOWLmnCOrlvtLfcWQGbWt9+WItt3vJr9aKnXL1ct7LivIEUlDAzbszJL682X2gU9/zRGprfrHhF+S+nCV2/rg33PEyV9WL579WuquM0+fvGDIEZuzF32/toeLqXc5c+Uvr6c5Ir2u4+NrY6VeUjSt+4HXOWLWzZXrx0ZL3TLuK/8PW+wT3sk3Nv2VIfXnow1xGzvsE0uU8tZFF6X+cPyV/Hfd94m+/XfZHnol9bklQ6sW9N8nfFUjT1zt0c/UP73r9IHBa5/Y+c7z/zBdn+Fcf1EAwDMiKVJIhOzICKGIQ0mUQoRIZabIlswyi6wIGYlC9t7zt0gKKSmZlYhIRnb5e9X5v/089znfe+8599z73Sugh673wVdNVzsPKsRTNJJ80Ic+nHYkXMiD/k239Y5mo6vvjkw5eDUPBB+s6zF0o3O+OP4yzS0PdH4qmFFtksQ+xmH/e0dAHnQKHrsnKI4ep0jH5x+VBy+PHv7uYox+04xFeyYlDxaOHIqZDEJXKQq/aZ6bB9VcuskPStCjzTzSuqrygGYgk8NiEF0t7s1LteY8MHLT4b3EKPXPjQISZkvebnz3nQ0l+DA6je4rTv7hPBj9vpm71xq9br/dsZipPKhP0VAxjkVnlb95jXo1D7reHVOmIaL3p/2IctmSDzsdWKU+/fzf+AdtFV/Y8sHp2fWHDkwH//kPiZ195wTywSepkzdECL3hMXGddDAfDm/WoJQdReem+yggq5IPl9pMwhf10ZvvG5x8djoftDqSAvTs0DPPyV/fdSEf1mdjSogB6J98fcIDbfKBm+ONgGYSeo6UcOGcaz6Mcg59HSlBjw6V6bT0zwfpHu21hJfoB/PTpt9F5oMDf5aH+Wf0i1WOzOop+ZD63uOK2jI6a1uqZHlOPpwjnyUqsEj/81BqiTOCVfmQWV+VoS6Kvtlvj91DSj5ANLDZqqHvuWB5j/ZtPmhudeV+egHdqogh020oH+znB1/MOqO3JzMSRybzoYttB69JGPqpw7b9Biv5wCsbK/HxKfrOVJ5FCn0B3GD6/ce+Dv3mNwkWObYCOHWVlMTRjb4gFCeWyV8AZSt3mfom0RVv6h9nO1gALIFvLcs3y2D8yaumwcoFcLhaMjODB907pcvl96kCuKQjOpCngB6VHBVqbVwAe1fPsrfpoiespT15b10AVnbipuvX0One0laccC2AyDNnK08HottK1L6suFMAitpqMkUp6P68hAGhyAK4xhzTK1qJLl7NNhOXXAAXj7ZX1nWiO9LV0tDlFECu++1uq3F0D458tpuVBSBvKqcsRCP7zyNXJ4RHyQXAHua9urYX/UC9u4JhVwGUpAzumZRHH7U+fbJlsAAyxH48ndVFd6exM5SfLIDmVon0HXbodanvrLKWC4CbQZZXIxi9VDXIhZ2+ECa87orEPkH3m/G+HcJaCI9yqyiLNejW1TX3F/gKoYZPl8qtG701+WiCjVQhMFwdGKOfRpdOp3nac7QQzP/+CChjOIT3Rfv2fI1ThdBou2XgpiD6CwGTikqjQpAXbNp0DtCzn481CFsXws+8lCV1E/Rhk4rmeJdCOHBLolPHHT1dhfSa7s5GnL9/Il2i0cX0t7+7GVEIV4uTjhXkoX9KiPs4mlQIPH+j5tdb0BUZTQYMszfmqX+96PoX9IHcC59bKgohnbPSd+oPeohr7Ig8uRDEatav3dsjh/eXOd1Y1ptCyIp556ckh27iUPKdfbAQLOgbW+j00O/FxY6H/CiEULfT2hP26KTOvPGFpULQOLSFc/Qeujbb8ncbuiJ49PiO4krG/+KYeY317CqCG7Rq1cJE9JlUyW8afEUQWfP+sd0AOncn65dKySJI2frqd+syesOXA4PCR4tg97GCNhV2+X+e1O7SG69VBFrPt4i0y6DHBHx/R2dUBGf9rrG56aBnzN1vv2lVBMxbLqbJ2qN/ZrnYMupcBAoB9m8ZQ9Ed2o0aDW8XgbyISOVaJvoDNr+KlvAiOCLJYUhHRn/2sT1PPqkIhF+9qt8/jL6NViM96/nGuiQ75i3/oJsEfYtjryiCkeC8LdWcCvh+PpEXGkIqgvWVaWqhw+i7pON9FjqLILxc5GfuefRZ6UwHm4Ei6H0/2K3liv7k4IfLPRNF8NIvnUj1AH2d9YCuxlIRjL5abXxbiL79aydvH3UxnOnx/FD/Gn0TG+fuWIZiyCl7zkaYQP8VM7f99I5iOH6TJah/y2F8h3eY0tLsLoYB8eMSO0XQaxXPrdRyF8PrL61c5ifQb5zsmXYRLIbRJ5ImLy3Rm63HRsQOFIOH7aa5UwHom+mCe79Ib8xTue3XtzT0+YTC9qTDxfCci+PSxo8EvtvDLInnoBhk/rifsB1ELzjzrHyrRjEwf3Qs0fmDXnr2xnOSdjE0pj7I19175J/3rhISvfSLQUT1qpqdEnoc6fF9GZNiiHru4/XEBL2PmcZ34koxJNabWUx5oovq/rrx9GoxyFvG05xPRA+etrpk4lAMRd6ltj3V6F4Xrpzd6V4MCV+UU5w/onMuf1Zu8y6GNidKtvAS+p/D4+IBAcVwdbXr0e/div9cNdCdSzF0Y7z+7M1BBfQwtRCG2ahiuH+y5MxnI3SaAc7FnPhi8ElLEvnrgW7cKDNi/rgY4gUVmeUeoZPOtL/Zk1EMW+O5mEOq0Rdnx+u7cotBsKxNeuYj+iG2e9mhJcVgIf/O/+YyujrX81i16mIw7CEwsHMq/XNLOw2/5cZiyD3B292piG5jZ21b0lwMwrJeP56ZosffoTl37XUxPNYyM4nxQW9n3qfE964YfkoZHEh+jH7Jt1agt7cYNoVO2DY2ogtKvGV8MFwMVXN53GtD6P4BNnOaY8WwtlXQwIDq6D8/N3zz06afxVBsPcj+gh99Uw41sXq+GJLibZwM1NHtVBieO60WQ4C4pt2aNTotdVj4fuoS2FHKtLPpLnqJQZDz8JYSeFtwwjElB/1b/OL5R8wlcOjprYiHr9DD9389osteAuHbZT2eT6FzXdPg3sJdAlPXNim8Z1b+54FV+zYRBEpAW8L+A7cMuqKL8xcPsRJwfkll6W+ALr+oQJGSLoH3edoj6zfRJ5+5Zo4plMBL5Y/WiYnoxu8FQp6olIDuiNTsmXr06bGTNkYnSuDApqFY7iH0HIWhE8zaJdA25XR+C7UK9jHeccEX50rg7GZnNSYh9J+rVjS3L5RAQNJ1CylN9Amhc5/lr2zMc+07yc4OfXKxqPGnTQkYe3jcIEeiO7/yTc66UQL5uun28qXotsu1HpfcSoD91Uwb5T267icbfXbvEjATnI9xWEZnb7kj2eFfAkNxsp2y3PDPZVi3MITcK4FbBkphrGrocVxrX5SjSiAoOr5jhzV6kczF+t9xJTDo/iZrfyi6U5FIXEFKCfQdcOO+WIB+bMzshvWzElB4v005rwt9l9Rfde7cEuCOFtrBvoCu3ke/931xCbDWZeie3a76z4ngNRteVQKCHf6+T3jRx4sMWtUbS8AqdDr2rzR6ol/84zXKxr65yCbaqaMf/KviUv6qBG5uj40ZNUQPvnNGw/5tCXz9pB/seO1/8Q2JewR7S6D+Qt1NOh902beJk31DJWBNx2yfF4mec6ynMXZ0Y59NHl6/lI7OteQefXqqBDo6oj14y9HJarfMaeZLwPaD1qOfLejXHfql61ZKwHuM9u2rXnSN1+lUrlSlYOtIL1Y1ib4t58UbsS2lwDsQn1m8jv5D78yTL0ylwJ+ypFW9U+2fx+6SuZHEVgrubC57O4TQhRTdFc/tLYWyIk3+2cPoqizs9FsFSmGsg3hFUBt908iud0TRUqjt5h+wuoy+sHYj1fNgKSjuK0kpc0GXyRK4Jq1QCjRMpRk7QtDlRQ/JjiuXgtDS9RXvRPTNnalraeqlcECe79nvfHT2YYtm49OlwMLNmeFLQDfNuB2x41wpnFhPombtRlexnDdoNS6FHPFxcvUY+jNLAtedy6UQMqs1ZbeKPvzjy2cFm1IIT6YOkmA+9s871EyfT9uXwpCjccQffvSy3P32z11LYb48mqlfHt3Q7tTBy16lUFTwa9vLU+hTL5rm2P1L4UxSQwTlEvoB2nuVHXdLwab6aHyHC7q85dNbIZGl8P1Y2YGxEPRSESZFlbhS4HKx0WdK/t98YttWfieXQoJ38k71InTi957agqelcCwmweEeGf37VRkv65xS0Bt9Yt/3Af2RXv9h7uJSUM9cZlGeRG/59m6hu7IUepfHLQs2Hf/n7yw5ysMbSmHftsqr4mzoSVtznNQppXCR6hl/rSi6PUew+FpbKexe+51oqILO/CpvrKxrI797599S6aNXXd771O7jxvz9vrytu4rOuavHVGCoFAaO0j0J8kE/z/eRte9bKSg7Zhy9+ACdtoWvPWZyI1+i1CXHstAlj5YGnZorhXo/K6rDdegmjfeUqFdKwdNnh+zRN+iuIRkzNZvKQEHq9Gmdb+jf22mfO9OXAWfaBR3nFfTw9mxTUaYy8Hx/R/0pszrmqyGK+TNrGVS93XzwiyD63p5q0iOuMjB+JLFbWhF96YyAuy5/GcwKKK9H6qDPmnYIbxEtAzknz6lVK3Q++ZoPTVJlMOAmMubhhc608+tdD/kyKBMOn6GORq8RPK0gpVwGER6TLI8z0SOf/vo2erwMjhtGnNGoQ3dtehubeqoMagvLcv6+QS8v/KVqqFcGr69lHGgZRd/zTGtqu3EZmN7I+Jiyhv6+o/9R86UyUElZqgjYeeKf37fMOe5rXQbqPd9aPfajG8cUTh2yLwPppWJ2HxX0+vs/4iddyqChLzUjygC95PZlyPAsg2CjeY/S6+hpjxnGTO+UARcsxI3cQTdlHY/YdbcM5izGaYQT0KV2/pF9FVEG1tE7X9wsQO+kqPcGPCyD/AeVIz1kdPMLTb6KyWUwLMFpofEJ3WfNjm82fSP+/gD15l/ofJ+0KDnZZVByXPaBPr0GnjtuYxvzojKoVHI5M8ONfmo2jn5PZRk4vwr0Sz2E/tefOvtNfRnw5OaLmp5GT11IOXmPXAbk+9IGIhboFzytRqGtDGT4jGhoPNFbZYyDFt+UweJui6M/o9B/nfLgK/pQBracCbTjWeia44QGm8EyiOpUNJ9rQC89dOgCz7cyONL3wGj7e3Q//Tdz73+UwejA8KT8JLqV3cOIiNkyILnZCzvRnMT7K/228InlMqg44slQw4meyPmgcW29DLTIp5NZZNB9Vl6cL6crh6qM/Z89tdBzrAQm7baXQ/8Ng+GZK+hL3k/9BVjLQTFvV6rnLfQiC3X2Ps5yGPuWy8sSje6ruCU3hq8cMp9dul79HN1PcOroqf3lQLZxDXRsQj+qNttBJVUOAoUSTvIf0DOL2a/UyJXD8d9dctun0XfHXPjldLQcBMszeufoNDFftLW39x8vhwuXJ65M8KCnCikwDWuVw/zVsTe/5NF9d71JTtAthxilYUl6HXTqH4H7dYzK4Yz6njsSV9EftuqV010qh7rvPS8tb6OztR6GRqtyGL9vxpKbgE6gPfzS3a4cLkfMmG4qRj+WePachEs57ND6UGjTil76xPvTyK1yuLpbn3lgGD1MutE85XY5SJ3JCbBcRi+5yvZdP6Qc0pR4mFZYtP65m8mdG4wR5WBycKEyTQw9nO/vDCm2HPTd3QOMjqOzdke4eyWVw6jusDvPRfS4e5JL0unl0LzZO/63G/qywZDn+PNyWHgbOt4fgR5/9slKWmE5dM/punVnoYuH3fAyriiHzWmsR/ub0Pu5tJaZ68vBk3GPxvxH9IO7pT1ekMrByeZpwt5ZdK4owXm/l+VgPjAvd57xFJ67OH4n+TflwJhoIJwqiO6iLPZjqqccrjdudlhURm+KV7TOHCiHHAftneZG6Dal5wYvjpSD/At7jj4ndIM0Z0PWHxv1/Dk32DoMfcAxvv3VTDk0vDt1eVMGer0U4XjgUjk4FEXn5jWg7/o5Va24Xg6vAgj2Vz+gX67mkZjdXAE7jXnyZGfQHyTrpeVsq4AHcj+v72A8jffas+Cd5rsqgMLtVvJHEF1moCaQg7MCxJnnA1dV0G+cm5rr3FcBDrSlYwwX0NmZeC3vilTAgfmZz/td0Zk5z3apSG7E6Vr0MI5AT7ztqbJwqAL4wuiLHj1HNzyZllugVAH9DNbh40R0PU8im/WxCtirYMB2uh/9197+23u1KqBgnkOnYQGd4cj093c6FaDCt6iiyqKN77R3y7r3DSsgNEFm4t0B9LLZlapjZhVwSJLZ8JYGelfSDPeKZQW0VL25K2GO7vymP6DkegU0UtcFzXmjayXUjdo6V4BPL8u5tnh0n9lwrX23KkCDes/vkpL/+YhO3ge/CpADVtfc1+gHHGm2RQVXgObZk11lY+iU2Cw7jfAKODP+m7WD+sw//3HucNufmAoYbbY8vsyN/ii/SqQisQLC47rN5Y6gH0oTCLJPqwDnzeHuAQbobuLeQwLPKyCtsT1w2BE9SKfhSF/BRl6sBx7o3EfvpxuPiSmvgKzkvxmdWeiXdP5MaNVtrHfNjXSFhK4ttKxGRaqAPN6gaepBdNWgvoTq1grwTXSUrlxGV7n6bNKxswL2LHtFeLGd/eePW3VURXoqwPvl+BZdaXTOp0Mxg/0VoPtgPVv+DPrbSb2RuK8V8PXtuovkNXTF9MxDZyYqQGCbpL1CMPqBqt5A2pmN81LZnqiXjv5RaKqrbrECTp3kp/JtQO/+Osjj+rcCNkk5Pq/pRWcaK7gutrkSJnoXH9Av/G+84IWKz4yV8LFovdlmpw7W24Ohv492VgIra5vmB0l0Rn7Vk7p7KsHROon3wmn0b62ekfT7KuHw3zKdyavoQp73uxuFN/yQyWB0EPqIoNuemxKVUGj85o1GOnpKg4yZxKFK0Kq+IM7UiC54qOXJiGIlHEg+sjD6CT3/lsTnZLWN+auXyXYtohO9rvLpa1YC7wqtu81W3X9+RtT1yladSuhxVmWe4kCPdtFJJZ6vBJsMCTsfEfSD6qufbl2shHNiDvdZ5dF577uzH7SshObEZy4V6uiVsg26Y9cqITbEUeCyPnq6aFdoqtPGPgS4prFYoE8ZFRPPe1TCGy69yddO6EvZF5a2+VUCz3AOw4Pb6IF0ryUoQZVw5wLvqlkketYFOgvv+5Uwx6xPln2M/jqMPk4mphJ2hY5a7cxHb/bvaBl/VAnbNb2/LNeilwiZLKY9qYSC9lKViZfodGY5wsZZlaD3SNLn60f0zO11BswFG3UlEP342xh60d5I/5aySlgev5X5awG9zIGvwLe2EqLMw+Jp6fT++b0x1w+HiBt5X7d25WNDt7ketGnyxYbLFaicFETv79Xb/6yjEo67Uq26y6K37+47a/J+I4/CtHkFx9DdN/O6sfRXgkONod5PPXT7wL2PWr9UQszDpF8K5uhxzm9rb49XQii38/0wJ/TDRdAv/6sSwqq8BUdvo//gtFybWqgEDbJp46ko9JQYJa7MP5XwObXUtDoV/cHci8MXaatgUxbfumQhuiUn/fldjFVQLH0qr7ABnfbromMbSxXcfNRuodCOXrM/MdSfowpOS57Z/7Ifna9lPP0wbxWEqV//azmJLhr3vXpaqAo2i7WM0a+hczk+7MgSr4JpMeqxcsZz/zxCfPKLmWwVfIlu+nudC9098+dvVsUqGH76RFrsADp7SRL9a9Uq0Mk8HjCriE4jPL078GTVRv/RniOfQpf6NCGseLYKem5fvJtqgv7pafihGYMquP9ul1rAdfQ4g3eq2aZVMMjEKuDoha5Fbjh92aIKlm3/SlmHocuRTp1nv1YFJuxu162S0L8IeJq1O1ZBlyb7e/vc/42vPWkVdLMKgqRCXPxq0S0MK64p+VbB+wWrE4lt6NOthBuzgVUQ2qqv2/AJvfKzrVNOWBUkvZqLm5hAH3LMd77yoArOCY5y8K2i/1ALc979qApU5l/1XWHU/+d5QlROHalVcMBE43MOF7rid+YbwZlVIOCycGDtADqzYYXt0fyNOjnv22h0FP2H4i+LudIqyOD0Sa7XRh8xbzLNrakC+/exzWJm6GZxfPrmhCpoireGpzfQdz5h0+J4UQWt9jGMAn7oVJpJyp3tVfDBok68IBI92LjwYEh3FXj7+2eqPkHXeKTLr9xXBVc6gm8NFKErddzeOf+5Cq5rX8sOJKA/JyhS5X2vgrjV1wqyXej75O78NJ+uAtZePdHJz+ixv85+4lioArGhR7cLZ9FFqjIpnWsb52XzcWUvGoN/fl07sCCEphrWYcZKhxVd3HX0ofLWapi6o74sIYQeNtXuNb+jGnoqB9bY5NF/+xy+nLe7Gu63m7nQn0QX+yJ4zIKnGv4UWF+kNkaXG3ggsEeoGgRV4hvorqHbS/jRvDlQDUzm0Y9YvdC9Hnz/HCJTDW8W5qcP3Ec/9aKzUflINUT3W7Vop6CLhsskzUM1eEze4fEoQE9OYXbL06iGyj/jK7mN6L7l1toWZ6rBf0T10vdO9OVIWYE9BtWwxUX4tNRn9DujHkudJtVwx02JcnsWvctN+nWIeTWwV+173Utz/p9vmruUqmxbDT+pPKyV2dAv7Fl3mHeoBmHOoZhcYfR7T3ao5LlvrJe4bMh3GP3m0RhGC59qmKi6Wp6uhW6VFfCBI7Aa7KpfFhwwRX8bM5zeGVoNoj6EE0326DGVuddDoqthvnrS76IfekPzkLRyQjW48k2b0kSj17n6Lc49rgZVa9uhsnR0RdfgutyManh1cJnRoQxd9uacr3leNThIHBuRbkafknihwlFaDaZUI9fXe9BnTq3/6aiuhiSd2097vqNz+CbVBTdt7Gd1eUTVCnqwa4LH0ZZquPtBUOrpNsN/ntQ/Lz33uhq8TzqFxvOg77Ipmch5Vw26qQpPHh5E/1r/Kv3Kp2o46MjlmnIMXS/imNHuz9Ww+1Q9faEB+ngAK2PHWDXU1NVefmmD7qup2hD0sxqen6ny/XkLXeoe5YbS72rgDTlnxX0f3eTHk72zqxvf/S7ObvgYvZyz62U2dQ08mRuNe1SEvr/R0P0yQw1MCfKNjhDRf/tI8bLvqAGD394MSt3oCX8uvHjNXgMvPiVQJ4+iD37rvhHIXQNjJ9m6aZfR335K3akoWAOM+Q/v3GI0wnfFncqKX2I1oOBauXWBG93Km9PouXQNsNFxufseRL9z4+WC2eEaoGmzIDEdR9dYJj5khRpY3Cf5O+c8+j4CtfSrEzWQeI17h44terNF2Ct/7RoQWn/D9tcLXczfyOqwfg34HBnfUhWBHlFru/rzQg1w3qCb9ExDdymoj868UgO7frQSNcrQUxb1BC9erYHtVF3h3C3oe+RFKnc61IDmcqPO34/oCpuVNF661UAUp+z28R/o9zeFd9/2rgHV7PYXA3/Rf5I4zOUDauDoF8mAfhZjPL+jQz8m79XAEu2iyjdB9DDaYbdnUTVgodWyaUkBnVKxe+1CfA38GjnaxnoanSkm2H/H4xpIZVh9rHQJPfbg/s0vntXAp29pfvbO6DUif0N8c2sgIaPD4XkQusx2OvpDJTVw+Iag82QC+rS7SvBEVQ08tjx2TykPnWchkyq9cWPfslsrHzaiH+FT8jFqroGTRkbri13ov0LX5re/roFbYZFW1t/QT5C+21He1oCEEdN4/xL6VdO/w169NWDZeTPq0rYL/7z3m5KB9HANeFHZmkzwouvPPGkeG60BmSV/7Tuy6O+2icqlTtVARq2V7b6T6Ikt758azNeAjnZxcZsJOnd+BhPj6kbdFtDuv+2Azn/q4S0iVS1MfaTqUg5AzxJ/NuyxpRaCW08W0sWjfx/s1JBkroV4p5uk3hx0yx8ceSNstXCMJLGjqgH9Y5/P9uS9tTCSuz0ptQtd/cjKDT2BWpBirbSI/ob+9X7Ua3qxWmAZabEPX0aXNFUSbTxYCw1rQ7Ux203w3SWxFuimUAvZR9N1nvGhz4a+6RdTqQUfv1yJRjn0lPlK2c/qtSCSmGz0VQtdb7bgXsLpWiBeZn2z8xL6C7ryvjPnauFZenmitgv6ZPkLcdoLtXBKbG9VdAj6tN+Yd+3lWrAhTogNJaHDKMtLJ5ta6BEjLCoUoQfYnWAVuVELicJH9yWT0dMj75gNuNbCB6e/WVs+otd1EDNivWphkJgVeWcSXS6XfkLLvxaYOrp7qalM/3l2qq7Epnu18PvE/vtRbOg/9yc7VEbWgmiPaqawGDpn87cC+7hasBBpFGtVQb/9U/IHf0otWA8Cj5s+ei6vu3Dv01rYmmIdIGaLfvFt5eWonFqQ/9Nx4YcPevrt2fgTxRvrSuJ6XvkAveiJ8OvVylr4yvDDPjwLfUuu3npJQy3o9PUX2Nehm7C5HLSl1MK+lGh7ozfo8UYhl3le1YLa+8w87W/ow9/Cw7u7aqGKsf6G9gr6s0NBVWEfa+ESwaXCkPniP3eruj6sOlQL/E7Xgu0E0WU+q9AvftvIYywMhx1BHxVYP1AwWQsKaQ9by8+iD/3KOWs5Vwvzm7eojVuip1YrO+5ZqYVc6SPa+z3RByaqIzo31cGb+y8mnSPRHy7syQ2mr4P2W+eEWp6h/9K6TFFiqoMeY88lwRp0g3N3+2dY64DtXp9tZAf6VZ/o2edcdeByicOTegR9WtaT7hJ/HZClOg/4L6NvHwEOVtE6eHb6SeBWZrN/vrLwRaRNqg6C/ogEpgqiH+m5IndHvg6Sw7dIKCui+0xUqcor18FfpeHAUR30ouRRrcnjdeBw6mxYkjX6ku4P3aen6uDO7MyxC97oBU6U88Z6dXD/+vVi/gfoV644GTMZ18HDEcP3C1no3UFTxpRLdeAYaVj+vh596zFFIy/rjXk+2KLb9BZdatVA/6B9HWjt2pZX9h29bOfRM6MudXDl0KbW0r/o+yem1FM86+AWS1BOPeulf+7wxVbx3J06aCPJn+sSQw8xzZPYcrcO1C5WUX6poheXl/E0RtSB1VQGDZcR+gXtO9vdHtaBqX8qi+4NdKk7zCuiyXUwx3N8JioQfWvB5ZGh9DoIb5XO/JSIviDp+Douuw74fRgOHixGVzE/Wnq6qA40Za89jG5B101tjqOqrAPmr9Pdq/3oX4HBo6q+DuR8js47z6G/TN1seINcB98mpuZnGS5jP9lVIyPQVgdj7M96/fah887zbe99Uwc3v65ksCmgqz9S+Rb5oQ5MpB5eqDqDrnZ+e536YB10dW9fsbRCH78dHrkyUgdJOXShXN7oeva1l4t/1MGgHzfD4AP0qhtxkjazdXCGb8YnLxs9qodrlWu5DhaM940FNqH7LZ1u7lqvg8vjWqeu9qBfEhSMuEtXD04PtuWcn0I/lPv0nPL2eiAE0wSKUF/554d7m9nmdtXDM7rJkpzt6J/W7/dkc9bDhECUhfQe9EK7uYeX+OqhQ/ZofKMg+t1rK7qs++tBIezYWb2D6EYnnmxtk6yHslsz98eV0M+fGibelqsH37OPdO+eRO8h1d2UO1oPHsYhj8X00a8vSYn+OFYPIp+3ur27hP5KVqk3Tase6g66v/e/jj5a3xdiqFsPf8JZyXI30d9+YpbZZlQPl48cVpn2Rx989/4T0aweft6U0iyMQPedOuDvYVUP54O0vrgkol+w3yEkYVcP/Y/fb1fORD/50L/li3M9WP/hf72tBP1stq/1o1sb/ukOz5d69NQJauqzt+th/poKXUMrelwKcwpNSD0UDeYGPe5GJ/1Nl60Jr4ceW7bkwGH0r7rVrQ6x9SAh337KcfJ/6+rSNRVMqgcWF764K0vor5uu/ehNqwfbE+beRrTm/3zCiMoz6nk95PT0/dXfgV7Qw0Z7orAeOrWG9xnuRS/0yAxfKd+IQ2j4YrYfvcG9cGdxXT14XyCfsDuETtkqFW9Nqoc0adXTfqr/+66j0G6ul/UwaxE4H6+N7jsQFfemsx7oNvcfqzBGnw+zZwnpqYcl8USFXiv0mcKaMKWBerCYYuimdkZXv+1ONfO1HowNfffI+P7vuwdT3bMm6sHO/RjD1VD0zUvSY6Yz9ZBxPjsjPQ79K72UIctSPQSu/5n8nI5OGxtLavlbD1SeMV9FCtHpX5mJ+2xugODm8lDXWnTS8P1Y6W0N8Otb2TClBZ2fdu/S6M4GCP84OM71Dt3IaptJyp4GYE0Myro1hJ4mZVqjt68BSvbN7+77gX4nlo6dXqQBlq194PgS+r36bU71Eg0wctGep4TWAs9vj90L50MN8GFhZ6UgC7rdNv69IkoNkMrfRJ/Kja53T8KhX60BbF43sXKLobu4hjc80GyAhgHLwXR5dLWFo1tP6jRAjPKKtfhx9BOHlQ3WzjeA3Juu/Hod9ONX7ieXXGwAXY8j5ecuou98KDRsY9kAEyx3fH/aojcsMfDvvd4AZj7zDNHu6F6l8uZdTg1gFf3NRCEAPWEk53GIRwPQCz11HolEjysx/6Dk1wCZTJ46Ccnoe5UuMs0ENcBPnprfOtno0+kJx7LuN8BXwRJrpgp0WrqdbqYxDfBusijtLRHdNeTl0x2JDWCgSpud0oF+S62+o/lJA+iNrvnY96G7G3xf9MraqJOn3/cd+44+13ea52BBA+QpsMdx/0ZPmxtR+1bWAIctuz/9pbLEe7OyxCKptgGiPzvPfWNCX1QuvqNDbIAFO+Xht1zoVc8Gk2lbG2CoOvhp8370znXF8pqOBtjik6jUKIeeeY380uF9A1javMivP4ZOXHTvF+hvAEHhS4sEHfS3TbqTH780QI5N/t5XF9ELevSWI8YbIO7NJp6+a+gndD1ojv9qgFKG3LVfN9GLoWnr0kID0FUs1GwLQpeqEmEu+NMARBc5I8kH6DythTssaBvh+HD5+/Op6NSB55h3MzbC3kdk+cA8dN/FHYyvWRrhr3Sxd2U1+oVD32n8ORqh69jLzOlmdJ+TPctyvI3w8KJZpeQ79CXl3skJoUa4yVRX6DqMPicw3f9EvBGaRw5GN079b99o2dsMZBthxnb7ReZV9O6J0+UMio1wl+/JLpstVv+8cSgyuVG1EQ7FHKomsaGLT/bfdj3ZCI1Ke08LCaD/2X3IfP/ZRqBLyWiPOIjOez0GBgwagVpyr9qaMnre99+cMaaNQLrWleV0Gr3n0cU5DYtGuELZuemHMfqKH6V11bYR2Islz9rZoN9NPZBc7NgIfCmuMTOu6HtXoq5b32yEjnmpDl9/dNvYaXlO30bwFSil3hGFftxOc1NnYCPERGpKZ6egZ/o/agkMawS3RDVTjVz0pPcDoYcfNEJyxg//iSr0S9bsp6YSGsF7e1zWw2Z0NUlV+qepjRAuGd6m/g49V/wC0TCzEU5e5p1eGUY/dPHyLcb8jXXNp7BV/UQPqNIVJ5Q2QqiKPniuoVsdPjDgVtMIs+HRN9S2Wv/zpg+TYaKERqgVe5bOzIGeGhErN9jSCEpXevu/CqHz63EPxLQ3AsXFf1+jLPpdjnv+J7sbITFj/EaqGrpEbxf/2qdGGDl0pSVIBz327hKh+HMjvLgse8DZDP3k7hVT6++NoHWp5LGlHfpm7+65PdONcNlmP+9FT/RHGcH3On43wvfc0WKTu+gTQYycgWuNkG6qaHA5Dp1+m1W2Ak0TyGU6b73+DH2naITsJEMTCJd86vYqQVdvC6pL29EEXzLJ5Q+a0Ff7NVXP726C/CyvvMJ29KIzH4gMPE2Q9e5MbVcf+ji9pGqjYBO80rr/ZWUc3WThVJ3LgSb4xe8vJLaE3kwtLisi0wT17r5Bl+lscP7snc/7DjdB3vmOTcms6DwcMnuioQmY3hGT+/nROX6du6uu0QQ0q5mGgtLo4kFSs0vaTeD2oVXGBdATapovFOg3wW7HW9ItZ9Ab3HY1mps0gVMztcG+i+h7E9l52c2bgPypIvnOdXRgaPdpu9oEPPlDDGO30HuzDn3wc2gCfdmOJ/p30Z+fOy0p694Eszadl1ri0KMnmQLGvJvgrKK0JmSg++r7vk0OaAKHx2pmjaXo/tYPeXVDm4Df9+yT40T0lnW9a7TRTfCNlMnc2Ynu/besqDq+CeYM4oquDKJTKVfP2j9ugsPsdneWJtGb4i7K8GU0ge6oW2D8Krr8l1SH97lNcD99U63i1qsYZ9XneWhJE3zfd1HoGwd6Z9V8v3J1E7Aovm+JE0G/Pk3DPNvYBMZNNU+05dFzPbKVs5qboPa2UQnDCfQQoWFbk9dN8Eljbe21PjpDe3Y007smWO7/HRhvga6ttqmC1NsE1PQxJ22c0cMMRt7fHG6CWyE8WkfvoDN+PDcnNtYE/nvGQzmi0A+maG0fmmqCPi9gXH2Mfs2pRSB2vgmGzB07vuajawi8kD+5uhE/oKX7bd3/4hAFn/3ZRIADETG8rW3oCgVCOUa0BGCS4ism96I/UrIuKKEnwEsWwt3m7+gUvS9FjIwEiO6rf96+iF7cnVxszUQAXilrln46238+lB1d1MRCgBd5dC2/2NBNS5vy97ARwGjqZwujEHptt0i2KwcBhMLt2CQOoXPMvUhv5yIAC3dbqcFxdN5fqYkivARwlDZOCziHTlWYF+XPTwBhI8uhSnP0m0xTgX1CBAjmOOI844ROmTW/KSdKAKs1YSOZO+gVSgxXo8QJsC3EK8YzCv3py8/nx6UIAHL+gi9S0W19Jo4dlyXAoZB7TFyF6A6y/JKP5QkQMTOg596AntN+d/fiEQLYTXZMv3+NHibKua6rTACt79njR/vRuYQ+juSqEoBbv0Y198f/9vkxoZVWnQBKCWcWuFfRp5ze5l46ubEurjLGR1uv/fMBr233q08RgHhMIYCDE/19wo1rO88S4I29iOkTUXSvZ/Mn7PUI4P37TYL4EXQ6z7R9LQYEYJDzP0LQRJecc1zmNSYA651gNRNj9COT5m88TQmQJHKgZOUq+qSye+a7SwSYuNUUmu6BnkrMviVhQYDnDVGvz95FF9Jd1bprvVGfSuNe1AnoX4l2ez7bbsSX2xNfn4VO+Lk0qmhPgIJxe17fSnTxwvTSh44EGI2R5lBvQef6YOXz04UAzrbl/iw96EyqauqaNwlQ8/iY2bdv6PRNclufehLA30I0v+k3eoyoWseqDwHqvlQ4pm2+jv3NwCL6/B0CZGjI5dxlQxdje6RbFEiA8tL5C+5C6DMqn5kY7hIg7aRa4DU59NrMo68swghgyG8rbHUCvWhvTnB9BAGWTSvVrc+j370ppML+gADfGDyH7K3R3YKL5x0fEiBL+c+ilzu6IpdWzsuEjTi00VFRwejcDD9NBZIJ8Oqa3/PcOPRR3tRtvqkEEHdhU3ud+T+XMq7rSSeAzb6nZvMV6HNbuGwPZhLgvYvzX/4W9Gte33aGZRNgu9UbQeMedFH9yrqveQSommB8GzuKnmwebqFcRIDMZSf6ngX0XFcb+oRSAjTd1m7hobfDe8rweO6vio34tj+YHXajj3/gO32qhgCFiUnfyCLo4eRNE8/qCTC4mKW57zB68bfBkD9NhI0+bKYYqIn+iaGOz4i8Uf9lW+snjdHZVmNri1sIME5a7bh4Df1XoK3e1jYCfLTydXvniX7bQWHUsp0AV2z7C3TD0I2D1m81vCEAW6K1T3cSemJkE8PubgKENlp/vpSH/vX8zUdOHwhwOkV0cLoO/cJTfqG2TwRYnfnjevc1+nMlcpHAIAEkvaUyhAbQF78bHvb9TACP6a1ObVPoq079jT0jBLhMPfDR/e//9jPx3PGD3wngZjk7JMJs/889RaubQ38QQKwxIWSYF318hFHj608CzNXs6XhyEH0hWptydJYAIiuUKms19JGZW6rxvwnAyTOqLnMO3edVVO30EgHWCS9vbrZEp/0cJaO1RoDfnvVnh1zRtX97ZD9dJwBj/9aOpiD0Z20ae9eoiSB8k2ohKw59mH814jwdETjfTb54mIV+vin2TyEDEWI995wIrULvvcJst2X7xvjJdw5BreidL+x7zHcQgSvHViOkF52pPBfqdhGhXUywPXIC/e/IiyzW3UTQGDtHm7qK7r2HzOjASQQnXbWpsm03sG8wJzu84CbCpm6l0Dfc6MdDznbu4yOCX19k75wk+tCRfgkvQSIovQ4Z4lZFLxw7FvZOhAj69E4pZ/XQ+bT9R8QPECFvPJ4lxAJdUCD+aIgkEb6+OqlKcUWX2H8nZkiaCPbUnaIMweiS7Cqjh+U2fOBWp0E8eurzDoWYw0R4nf1A5vlzdIf4g3d/KG3kJd/aYFMNOk+KRbc6EOGTmJr8lbb/xXG25E09RoRpS6felj50l05p28UTRJCMATg0hR5543WhrhYRqCZXbLP/orvSyMzlaBMh4tlPI4EdDvg+1zSXo9ElQuKozfZMPvRts8buF/WJkDpYFCYhi65StbuswpAIZcVsXfXq6LJnUn4ymRDhse/I53OG6D9sv4nYmhGh1Ny2cfoq+kTjzCXiFSL8cZu6GuuJfpCGEMtpRQTmV01DyvfRlcbPtrheJYKI6wGR6RT0HYKPF15fJwLDLR94XoguY5MjKOxABN7hv6I2BPQMcxfd285EOF/wd+zAW/TPLxY8P7oRQW7ghdfSV/Q5Lbl06VtEaLbN+vrqN7rhI/GWMG8i5KuPCmTRO2L9W/Z9/+pHBDrzd0fv7kFPvKDKoBywUbc5NVKOB9BXxExE4oOJoLz52x8zZfSiYJHj0/eIMGWYnq2vg161+/lFzXAi1PkoSuuao0dFfnBNj9o4X7prj/Rd0eUSqu6txBChIEvms1kwuvDgiWT9eCIE6IoyOiagmzL75+UnEuHVHnGOuzno2j1XazY/JsL6yxCGrDr0xYElyqU0IqwJBA+/akdvfyPTUfWMCByjLqlLQ+itxqzvdzzfyFdbsrr4LLoxb0rvtVwieJCErstSO/1z5/bWPlIBEbK+2ogYMKKHMCb2cZUQ4Q5PlcktVnR/f8Zet3IiZGvU06Zxo7/r4eluryKCncRe4VfC6JalXa+F64jwIt2naVkKPaWWn3y7kQhmToFdB46g28TtqPpIJEKwZc9F82Po3N8Ts6WbiSBznMsi6TR6gVFDQlgrETa/X/zcY4B+455n0NdXRFDvZxlgv4QOPO0ORzs3+sAeZgOTq+i36isN494SwVA77mS6E/rvzXJHf74nwjepU9U/PNFpHmvwnuwlgonfu6wjgeieAhPrT/qJwD/ds+t+OPpTRZ7BpSEinFFYWR+KQz8d+LlG7+tGnTB8tTv8BL36sUxs7igRtrArGD/MRi8T3XGdZoIIjVtTmudK/jf/llsqF6eIwB1bVW5Yh/5ip92Oil9EkDKWEm6goH/M/za0fX6j/2zK4RTp+F++ZMbybRaJkHawLebhB/RHqg4eTStEoAk7HLX5M/p+N0/g+EsEgfzEHV4T6IrX6Dc7U5FgWjZ29+wculcde+tLWhJ8q2vLuPEHnZYu6x7/FhLs6P9WPUnnjOO/lml4M5KAVizMwHEH+uyUCnU3EwkmDpvd+r0Hna7pRJ34ThLYJtIK3RZAb5pucQ5mI0F5r5DpNgn0Mg6i0CAHCe4F23A9lkcf6pL5IL+XBCLC9jbSquivSzlDonhJoH+s/+hLLXS3cx4y3/lJcP7SxSdW+uh6J0/2qwqTYGb1QSSNGbqRSGhgoigJ3JL4GbNs/reuu0r7Z8VJ8LSyjE3bCX3734ttpw6SgNg2UfjbE30Lz+S1Z7IkiD5748PTQPRm7zG6NXkSnKoajtKPQH+ceybdQJEE6R4TH+kT0E2VuY8UKJOgYV2qrCkN3bDFoGOzGgk0Gwx5vXPRz3yYvXJJnQSnuWh5FMvR71It/Ko8SQLTgIGitQb0+vcX/ZhPk8De+N570gt0vhEhBtuzJJjclBsV3oV+rV7nAUGPBBX9Y4MX+tArpz6y7zlPApZTY2Sxb+hFdIREZ+ON8RlnYP0n+o04Gs42UxI0niDofVhCvyfyNIH/MglqAkdWS6ld/jnjqaSd3hYkeFR6WSVmG3pA6ETYO2sSFAp82OPOjj7m/GCT+DUSEIR+RZruQ6+LjHANsifBd1rd1BNi6D+vD3ztdyRB2dYUTdlD6BPRt/XkXEmw6usZKaiCHhfmUh9xkwTbn0U47dFEP/25XHDUkwQhdb7TLOfQR7hPhKn4ksCObpqR6SJ6fivfVPwdEuwkhLRst0G3u6Z1ZjqQBNL8E7wsTujmd2tzT94lQbdlIweHF/qxHNfNaWEkuFyTXcIfhK583tVsKYIEkQZnfxyMRF/fUV2q+4AE16wMWo49Qn9irro55yEJDNmuHDd+il7/aut5qkckoHrAbumcj37pHdvTC8kkuPF3r3BkJfqOtcuTJakk+OHPEVFIQH/TOia79SkJdikXPnrbhs5cn3fLIpMEXWcDtVa60QlGubW12SQ49+5omtDQ/9bL/WV5Z/5GXxq5/dhgHP1mhJ68XREJ3iTMqN2dQ8/dv+hILiVBLLVCZMMf9OcOXVlclSR4Lvc7YJHe9Z+XDg5+cq0hQTx07ZPbiX57kXvb63oSSIo72d7ci66sEKEoSCCBH62HSZ0w+gOuAzY+ZBK87QhbpJFGT+BbiOxuIUFxpK6qrhL6YPNkuXgbCfrVb8ilnUB3DNr+Mah9Iy/TwR/mdNA7Phou9b8hgV4oiJw2QR9VfsEm100CBUYQyrJCF5U0OxjxYeO710Xf0jqiuwns1vz2iQRhSc8kr3qi8yXMXVQe3MhL2Dml9kD0ZaoZh7jPJKjf37ckH4mu1r/db2pko59f+nI14xF60WPNsBPfN/oS6/ZQtmfozg1PYh//IIGG5CazsIL/zbOUJen3TxJERF4Zoa5G/zWT8vjMLAmUWd/x3iahG85CauZvEkQlrzGvv0Y32b+c/GeJBF/++FcEfEB33/Ii/vwaCVpZtrBs/YIeS5cdWbBOgpFcWYG4SfTd8UmBm2nIwJSUMymwiP5B9LG7GR0ZRAqYHCqp3P45z6FCqwoGMmgU0Wdrb0MvEn6tu307GSJtjySPsqPXuPw+Yr1jY3yqpmYQH/rovf37GnaR4c3OT0VC4uhGvZY0bLvJ8CQ45m2bPHrSu8yv9pxk0CxjL3FVQ68enSRQuMlw/Tyj9j5tdEF/heS9fGQg8bNlvDFEf78jyMVNkAwcnR9rgszRhWi6NF6LkOEU42rEUXv0H5S9HIIHyKASvI9v6Sa6O8l61FuSDItjU65V/ui3ruaWvJMmg3Mf/V2vcHRx3nHPA3JkoNDuMlVLQJc22AeBh8lAQ1f+i/Ep+mOns1R9SmQw8IvS/JSPvjrgTJABMvQxnLLMr0I/tTnUJ+wYGVrU7qkFkP43/myM3JcTZDhe//OraTv6FH/4jyNaZAjaxn/6yEd03+9uqQ+0yVBBavHg/IruRHf67LgOGbbZ+19fn0Kn/bptVVWfDHkxCwLfl/6X36/VGY8MydDU0JbRTeP+zxUczpz+dYEMV52fTlGY0CNGW3+eNCNDrST/evUe9Kli0agnV8jQ6vqzt1gQvf2gg/iiJRke1OX55Uuhc7582HL2KhlY/P5O5SmiS/Ynm2VdJ4PUwfv7i06gf3rlP/PnBhnIxxckK3XRzZbVA847k+GhyAgV0RT9WvNX5gI3Mpw/uZzeaYPOH30xifYWGQoZPzF/cUbnrSngu+hNBp5PYtpLPuiWT95nlvmRYS9btNHOe/+Ln/5WmDFgox72FsocjEXn4n6WYRFMBsbTooN6qejdjid4a++RwWQ108QjB/3yQlU8SzgZpgNas9PK0Ve2LW+9FkWGskNyL9ub0PWY6X0IMWQwvxJd/7cNPdR4eHx3PBmSzvkFyvagHzgeaOCYuFGHBs947D+jK4n+rGtJIcPNgmeR2ZPo+6149/GkkSH+iUD390X0j9ps/u7PyKBm92JanObmP09U6hh8nUWGM2dkv7gxoUvd0zwimEsG69uM+YQ96O2hAdHeBWSgOzx/ZocQOnuC18jbYjL45T5otTyIvpdOSk6snAzjdPf21imhW4qnBvhXkUHcy/sU+0n0gUstrz/WkuGvxA5993PoUzOZuw42kqFfc0L+oxm69RElo7tEMjD8LFhQuYYeei8oYZBChhjl9ZgcN3Q6mTvdcq1kOGkQsI3jDjrVPXGmiFdkaDjdZxl2H31L/131kQ4yqCsWJm5KQOe+He2h9JYM8zJPCr2eohcQ1Z/HvCdD2olzz5YK0B/OPX03/pEM7/3sbnnVoPNb5ayp9m/kdyxSclMz+g4LQ/5HQ2SoC7nSEvoGPUwpW336CxkOXApS3d2PLqry2FJjlAzJN1IfZ4+hz1fK3n48vnEeS84NKs+hW8xeS5ifJAOR7wTNh7/oxkdV8k//IkNP+Z7tbls9/rnIcGHD0zkyPL/otsbKjv5wf+2r5YWNPr9luauGD/3l5Us9uitkqHp6OtJCAv1aZ+LA8z8b9wXrDhnmI+jehOuf/26iwJ7jEw1N6ui+3p2fz9NSQIvZT8ZNF11fs2Uwn54CvkaO0eIX0c85nPlIw0iB8AXzj9+voqsesuwwYaLAGHl5a44r+snhzcQSFgpkxH7af+M2+tZq2eItbBRwl8+WkbuPHrPpR/JlDgrkeNKJUiWgG/4VDarkooC4SOK2rqfoyr9/2m7npcDtzbSDGYXoj/YfPmXFTwHih4nHPrXoYn00++uEKJBuNqNt3ILOoaNLvVOUAlf1634ovEWnauHqtRWnwKjzpBfXIPr3O1b5TVIUiHbYv0o9gX6CsN+HXZYC+qs7b/z8jf6TbKN5Q54CdS06XQNUt/AeebWXhXKEAh+9A/Z3bUd/w6rVw6lMgeOks66te9C/DY4nOKtSgF/FuJQshL5u8+d863EK7I0+NkqSRued8N/Be5ICFudLmFuU0XMz3F+4n6JAloimVLsWuufbHq/XZzbiPM498fE8ekvhMzEBPQq4afroj5mjH3P71ONpQIGv1VcurNxApzbzvP3GiAK7vFaNWLzQQ5/6CYqYUkCU9ZeOeAg6xfd7s+8lCrxm/KJ2OgZ9l0iFZbc5BZi/uEk6pKJL93z5I2ZNgTus2uxxuejGJMeH/rYb8+dmXGmqROfhNxH5aEcBY5fzn36S0O8eSKuUdKQA+92OKr5OdCZW1WPBLht10rYn1rgPPXDH4bY+dwrUZn+yjx1DP3w+5KyMJwXCQstPvJ1Df88m2nnPhwLJXad42DZ5/nOfYB7todsU+PFZddF0G3pJj1WzXCAF3uxW7MriQL+qtKIYHkIBlvbe/N+C6Esj/flfQjf2zYgcpimNLkrLyHUkggL3tibZPVFGF3kZEBwVTQGBQ1S6K1roMZbHJr/FUqCPN+XwBcP/fZdaU+doAgVOsTEJ11ugc3Q/KIxJooC18QqHgCO6Jx3P1vHHFHAQpd0Z6Y3+qmXCHNIpQNfcwfLnLnqd2kJFXMbGfKz+cDg9RDd9pkI3+ZwCNEdl94+l/W/+u0nnjuVRQN1vl6pFATpdq1/yo0IKNBmrmX+uQdcadhn+WbLRT35fDrdqQc8OTeE7UUEBb++dpB9v0TWmli8lV1NgZdsatccQeq5s6KOZOgpIvGzSoZtEfx2k2XGyiQJ2rzblJC6h02+R35RKooDyAQtm6c1eeK+N6EjON2/U7VpI4GsW9GPw0PjUSwpo6uyks+dBpwOq22mvKTAh9TyB+QC6/Za49IVOCsxkfT9cpYD+sekMQfvdRp+s8ZywUEffGyra97SHAqlX/+Tv1EO/fld4dql3Yz5F7P4tZujXBo5t1hmgAITZXvW7js5Z4MOaOUyBoKm4K4oe6NO73/KufqUA9yu1GyuB6I0qaiJ6Yxvnl4U5sjEavVmtVez5BAUic9LIIY/Ri1Stxf5MUWDOK5FJPxc90IRdWH9mo86vpjgKVKFXF/Ry58xTgHJWe2yRjH7QuIBlfZECZVu1b755gy7sEUV1fpUCcS4q3AUD6GdF/KZy/26clwst/RET6KVBHu83UTdDc2RIhcsieleuZ43h5mYoGeDLNqX1xn5SHpCYv6UZyNuVKjRZ0Lnro92ptzVD3Be3gSM86Gp96WeMmZvhLZcLn9QBdOoD5XyFO5tBw/29//7D6F/JzTM07M3wKkttXegEekNDd8OFPc1gaHUhSeQcer/UUHDR3maYMGvSl7iMPnXwq9bmfc2QCOziCvboNB8GGUwFmiG4ZJPgCU/0RwpvmouFm6HPiO+oUQh6xNUKXzqxZvj0ltP9Riy6sHe49EWJZmhojOq8m4bOEqL/ueRgM7wv49fOKkC/nLwlgv5QM1zVuPmjtRY9uD3nkJnCxnrpJAqnX6BbSsp9LFVshrP+4w8536MrdGZ7bFHZ2DeVs2laX9Dz/2O6PuOpbMMAgJOV0EBpSSmEVEJG4zKLzCgzM6MSWYmiQpSRrBaKkKIhJCErnb0JpVBGRgshZfSeT+/l6//3/O5zPde6n9OwQMJFjwB/GmfZET/Rm8X1issNuXEmZSo8n0EXa3XfI2xMAPZqUsFP4Qj8nllxlO5iSoCAPjmTbVLoT/v07Z5bEIDh7LA8eBP6sPm/TmFrAiz+zbeoRhX9n8sNN9fDBDBZS1YQAnS7TYLdz+0JcFnD+JSdGfqbIjOHRUcI0Fgo//mRA3rYXx+Wqys3nyyB8/w+6Is22OpVeBAgXfTKPvcQ9HCF5SWLvAnw7LnlrtdR6IpS+SvdjhOAuObfEYVr6O+mZiMrThLAIVXrcUo2etXbjd2LAghAcburOFeEbl0mvtstmACunObWU5XoN2+RMypCCaAlH1ba/wa986rB0KKzBHC+u73WtRm952aUtlskAe6F3P3T2Y1eW3MxtuIiARq6j/q4fUcfnd3LWHSJALvFNwoN/EX39Khe6naZABd0zr8PXBj5vzt8G7GsSCBATbRUN88K9At3PyUsSibA+NLUlRkb0XvOXm50TSUAj9DVOGVV9Mno3l/PMwhwMfqJImkvelLl2IZFtwgwlJ2xwMcMvWtlualrFgG8ffuWiTiixxXKBj6/SwDBf3vty33QY1whTTiPe77nvjbX0+jb9IVKXO4TwKsgO2lpDPohszBS+UMCzLzuPUdIQRc/l/Jh4WMCWDXUFpy/iz5KNf/qXEKAbbfoQrsfo3/SfDpZVkYACf2y+7NV6HK1JbNCLwhgVLr0QhMJPfiwFY9zFQFK3sZnXG1Ff/f36lzpK+573az/4tSLTin0nhJsIMCDLpvQraPoUtbvvjs1ESD36qCBwD/02fFPXc+I3DmNkrH6JHoe98nl8zQBKgGOZmRm1a9GN/33tNyRQYAXmdPy+ZvRFx0KuFnCJkCoV99Ywk504XMNofxvCbCicfJfqCG6z/E7Bx3aCfDw9FsLH2v0fAmBzU87CNC7T+aTkxv6Pb+JPwu6CCA7Hvb8kD96zomTJLvPBPDQiqEfjEA3mPVJedxHAB1q92abBPQUqS+HeAcJ8MlpO9X+FvqP4j5J268EkMlaUepRiC790J1d/IN7vqp6V8Dz+XlwvPxvlAD3m5SsY16jT+UwtQ9NEODMWJZYJntePsOrBx5OEWDOQXFZRRd6V9ja1Nlpbj+nhji//YYucHVMw/ofASJUZH79/ot+LU+nrXABEWJrqM0ywhf+96H7Y4HTAkRwIK6cNZVCb4teKWwlTIT3LcVBEXLoVzYVZxWIEsHTS1a9VA39wun7in+WEOHb7/X6w3roxa4Ly80liMDhM76jYIVuRWdr5q0gguCs1r7jLuirCmYqJ1cRYcT6+p6Sk+hirHg1U2kiBAXMxfw5i56hHlqcs54IgzXLVxvHo4fW1K8d30gEpZsRPFk30dtNPBOMFYgQ7fpWc+w+ui7B/Ve2EhGK/OoazJ+jp4i/sBtVIULb8o9ZT16jL13hWmmkSoT7D5iUZRx0t3JH8Ux1Isj6a5qe7UaPYRQe+6FJhMaSyvUD3+fFs0+vWn8XEY4/HTlgP4O+nnez0M29RChp0ev3Frj4v5/utLf8qseNc2ghO18U3eEVJw2MiCCntu5LjwT6vcgUTroxEXr3NytsWoMez5MuMmhKBMPa09d9ZNGLNrbr7rbk1lfeYdsTRfSJN46BKdZE4JNkTIxvR3/duOZO32EipEnKDu3VQq+blHqj5UAElecPhRMBfQ7MvyQdIcLtiFK79/vQv4VV8X12JYLRRFKLogX64QjHtRpHibAvPzEy4jC666at2+O9ieAsPHeYcwT9+oEd0HmcCF8fqDtv9kRvJXmaqPoRYXrmQnqUL7pPSJNFbAARdC5t//MxCL1XwczyfTARfr+4kaxzFt2sauaAyhlunkX5DmVGzcvPXLNe1Fki2EwRTGauoN9g0tVaI4nw8vu2ALcUdKPZgfWKUUTYcCSVRLyJ7ucqKxx5iQj/nulYbctB7yKHf2NfJsIRu4hFmYXz8i/6jbopkQidlYWTgk/R786GFoQlE4GotWh5aAW6nd/KcHoqEX7u+e018Ap9swrTeP11IjA21w05vkEvEbshEXKLCMfsS3LZNPS+Lr/3pCwiuCquSTRuQV8TYJO5Joeb/4mDRa870PlSDG1P5RGhZXnB9N4e9AeiINZ0nwjBXe7RtUPooeW69SuKuHnL+7Bn7yi68sH9J088JoJ8ufvWxql5/VNqJVlXQoQ3zoaH9vFE/e877jlWLisnguaPlhKGEHrrkMdhrxfc+X3ipme3BF3I1ufHyyoikHt0hHtXoB8q8YoWrSVCD6dMKHAd+qM6p2VuDdy5frVyD688uqnZ/qzyJiJU97wqSldBb5ORXy9EIsKziz/NN2ug7+eZzHGkEoGfw6NUvxv9V/nz1U8ZRMgX0dtrb4iexOOWwsshwgJvnsRfpugyjyZ4Dr8lgrjEtaWpNuhiYcEnH7YTwdRgD2u7E/pa5fbm6Q4iFG9yIjV7oHteXqdu2UWEgh6tP6En0F0s96fkfSaCRqG8l3QQeoeh5cBEHxHeXg8RIYaj8ymqa5sMEiG8NehbQBS6/atfsdlfiZAaF7hwXTz667pExs8fRBAjN7gyUtCDf/5ZYjBGBMsXz8bO30JfILbb/MYEd359Uxt35KI7tFrGDk1x53SujD74AL1RQO3l7hkidMV4Sd4rQf/o2Nt/7R8RHiz+c8upEv1uisvi3gUk0Hla67iyHv2oR57qTkESNJ3ic2wnonMSHlvGC5Pgk/Pqm7eY6GNNZ499FCVB7kVr8SNt6PKkRRHblpIgqnOatqELfZO5Y0K0BAmCzni/Geqf976LfdJbV5Cg2aJnuvw7ukLj1pubV5PA270+6OIEuqN0yfVz0lwvNle0nEWveNefzFxPggDZTpn1AtH/e/lDdvSGTSSIr6+1/SWKvkbfLzBEgQSKp4FJlpznDlWOJCUSbFIvi8tdi77lXtne1VtJ8HzY6+LZTegqDFtpP1USxF0qrrHdgm58LX+yXp0EWcMsLQ11dLHbN6jiWiRw4pOfWr4b3TZL5bbXLhJcL5v5M2WA7rrP2+PlXhKEvM/f22WKXmGyV15EnwQxtr5Egg26yaHyPmcjEhQJ5KeWOKHbSDbdeWZMgu0NmblZR9GDNX0P8pmR4OWRvF/xvuipJ4r+HbYkwd4S4cSzwejTDucePrQmwcr49T5+59AtSrtMpw+T4M/LnVc8YtAvrOEMmTuQoHdR9g+HRPRefavo3CMk0DTOzbRJR5fkOCz/5UqCfM30JMss9JWnvuYZHSXBjjtv3pjno+8mLFC+5U0CLZ1LBhaP0Leeu/Nk+DgJjjI2CB8sRx/VrFLa40eCR+Lfl9vWoLfds8m7FkACtyaNE85N6GkuJyR7gkkgecNU0IeGriwxfVH9DAnK9p4fDmpB/3OUbzDuLAlO+ktLRX2Y14fjF03eR5KgqiUsKbUX3eVY4H3lKBIcW/3pQMFXdHv35unISySI/ppnXfUL3S3qnhn7Mglcvy8tYE+jnz7+8aZsIrffmsJhmC8G56v6YmdIMgnWLFGRExRFrxVPkialkoDH/+zhTZLoT8Vn7FZdJ0HFuVK24Vp0fXtmku8tbh3ZG276bELfHMXzqjaLBKF8a4qStqCfUUrpX5LD7efCb4LP1dFTR84Ke+Rx+/PAl2edu9GVT9UpPL9PAttIuwfCRuhH9Ox1BYtIcIFybVjTHD2Gd5+N/WMS7K7sOnvsMLqrSaxbcQk3Tlq6fZYz+kSpxLGZMhIsSJiLYXuhV7T8OG7xggR2gf6zQv7oB/dJeudWcc+Z20HQC0Vvy406MvaKu68eZ32IPI9eHK5ubthAgtix37qv4tDjvJW0bjSRINXw5sRMMrr/jJv0IJEEryQpf+AmOpPVOqNNJcEs56N5bA66eUhcWyKDBKcHN4zRH6ALRAYUd7JJENE48GXFM3TDiNSwbW9JkNgUueXoS3Qi34BuVDsJrKzVmkob0JMK/PlaOrj7nGn3aAEFffSHXMOmLhIE39DpP8xBfxC06EzoZxJM8CsHPnqP/rhu1WZyHwn8g8Is+XrQbd0PtqwaJIGletBF52F0y8GnYb5fSbD1jg9/9Rh6+qdtK2t/kOD1zIMPK6fRw9o4pYvHSDCUEy14lu/S/37rcJqR2wQJbrP3xXaKoE8M+reUTpHgR6uBvYEkestqLye+GRJsGCdfeLQWvTkkqPPQPxJcPik3s1wOve9ChkPhAjKkRj5kRKugm78hs34LkIHqcW98VAO9gCKqayJMhveHXAOP7kVnrXApzhQlw9l4VcP2fegSO6oXf1tChktqPn7mluhTuev89kiQoTPa8jvBDt178AoheQUZ4gu03+i6oSclTUp9WkWGm69DxmqPzcvDUi9PVWkyqPBbhe0JRD83xSmOXk+G81dX29aHox8g6Hxt2UiG9gsbkwyi0TumsuXkFMhw4U/VamoCOp/kpEOoEhn6l6sssElH77lhcIWkQga/7zT9riz0EZ6YZytVyZB2vf+jbwH6KLu0+bg6Gd6tp7CnH6PPXmL8qNYkw5u7hHXJFegRmS38orvI8HONEkm2Dl0puVHSeS8Zhu8ZUauI6Ms/Zqx7qkcGW02fzTYs9Ox/B2T/GZKB0935+Uc7ul/wZxkrYzLMZE1NJn1Cjy89LHXPlAwXjwseUxlCN1K7v3DMggx/9W012KPouoGMX/rWZFi2XtP19F/0oF7au/TDZPCY+N2/li/2f1/Pe7eyz54MCc8HKEQR9C5dvRSNI2RYa3ZYJFgS/cbKco84VzI8eXCteIM0+vnZka3tHmQglPQ/aJabd77n1LiCNxl6TQr54raiH2ogPg87zu0H+/V1uzTR98c6+FNOkuFfdV77L0A/Kfd0w+oAMtDMI6yeGqOnib9mnggmg9Lw9Gbfg+jttWmna0K57+sd4K7kiJ59U3qF6FkyPLi++e9XD/T7S9yeHYkkw3Lj4F8lvuh/MuwMn1wkw6sDOeahIegj13mbZ2PIcMtneiFEou+66ORgcZkMV7za5BbFoXMaPDruJpDBaeGFgvZk9KkmycM/r5KBudQw9sFNdKsJfwqkkuH07hByeC56fb2/ZkoGGTqMXPwtitAjri7L+XST+759VmfkytAlyYd4VLPIYE/P7J2rRrd9p+EUdZfbt08Tyjua0P3ky0o498ggr3Nq4CV9XvyrSLMb7pNhcuXNC7db0fVXBRkFPeTm/5dVREQXemvCs7jXj8hwwu9rp/sA+lDLhUbxEjLsVKwoMBlBV3fonPAoI8Pomxm22h/00vPEjeUVZGj+sPTo+gVx6A+0TPmqyNAnoOu0RASds1P1pM0rMqx4966KRxJ96uqTuPx6bj/3KV4YX4vusfhR5q/XZEh6GfVoWA49c6XCQwMidw982gq9W9EDRGVK0ilkmO67oNOliS5mklLSSyeD6oGmOx900bu2hBWpscmgl7b/+AcT9AfL32bHtJChaZfTnU5r9FC3e/EtbWTY9tpMp8cJveB456mNHWQovXNCd8hz3vlJsZbBnWRwNOB7NuaHvlzu5uamT2QY2OQVPxeKfj1pybR4HxnGn3XRRS+iD639RvQYIMNb67qz0vHoE1uVksqGyVAUZJ2+PQ39y2rSgQU/yGB2emjFviz0HVoNC6xHyXDsFUfApQD9Xqf483vjZHAudHALe4Ju4f7KZfQ3GUyTWfLXX6Anr6xeoDdNhlX0KIfn9eir7YVzU+bI4Pa8bqqVjD4Y/GDnJ14KnLv1lv8vB313fSpxmwAFzhOXnV//Ab0siWB5YSEFtOPfeJr0oW/cqtvMFKGA8uZdVSHf0d+Mz5mvW0KBWwNN5/Im0Req/nvtJ04Br4VPHjf/Q6/csVe1djkFDMiGZgLCl/F+N666JbqKG4/7e0cdcfSfjX5/nNZSYKNI1bvANehRX+1tHslQYGhKlfhoE/pV8bDCv7IU0HJK2ziogu4cQx4zkaeAjOvmUXlN9DPx+7VuK1LAc6v+tmO66K9OjYUObqGA/0+Vrkcm6JYXiU81t1PAgqA9N2qNfo+/sTtOjQJkVvk1nSPofkbdwm07KaChPJwW64XemLBORU6HAnkjSgtb/NGH1kSYhOyhQJXGm5+yYehJMOHSpEsBmij/gdNR6Nd2XfYTN6TAm0taUtQE9M2Ht51238/93aISuw0Z6B3s4dPPDnDjj64UOXdnXpxjL079M6fAB8m7au2F6H9mUjwsDlLAyKOUpfEM/dOOUIs7hyiQeAw+3ahCp7ceVftmRwFL2Rtef1+jV8jbLdvlRIHXcXxubnT0di/zwXgXCjyNb2WRW9EJzQYv37lTIHyNY4VaN7r1Y80oBS8KiCt2L703iJ61Xd4g9BgFBLLLepaOoYvfEZ1740uBY46yyjHT6B5bB0slTlGgd1/E8G/+K/97yvoXLh5BFCjVXbzh1GL0nqfB/KWnKXBjozxrUAr9u8S6/H9hFPhMWjbhuQH9anyZjkUEBQIXyKT3KqH3G2+lZV+gQHFBVpGnOvrJhORDX6MpcCaiVWtwD3pbLLtNO44CpodW6/nvR5cPGj14JZ4CCr8qX09aoRfH/iC0JVEgcu1MbZQj+p+JNzvkUihgk6KutsQTfeR34K3gdAooiZTI5vihV9ePTTbeoMCcUVWS6hl08kVDi6WZ3HMmcwOJF9E5fp53Xe5w55RZznFOQO9+aTnwOJcC/efgye90dO10PsXpfAokF6fyZ9xBD1OJPGrygAKXeafadzxAP1NZdeNmMQWeb2pQePsM3cPtxev+JxQIeK45fqYa/Z5twIBaKQVizR/vWfcG/Repjz/6OQV04n35SQx0m89L17ArKaA7+9o4qB19MWtUcV0NBep38Yis/4xe+uqS6sk6CuxrCTBlD6OvbCWqVjdSoNvCY1HM+Lw49SuUFhIoMKYha6w1N68uKuZrbckU8BCd4x8Rise5bkgULKBR4IS1gV7xMnRpWf+hUSYFGi7BrPca9N7w0TfQzN1Xa3W15eXQfX+I377aSoGp5LSJga3osfdZXh/eUWCXxaUdj7XQjd5sUlb8SIFQssdIkD76slNLhkK7uX147Ny23WboVyhJOW96uPFkrBkRskW/O3nbQvwL9x4pTdnR5ooev1J90nWIAqekN/8uPI7eYGV/48k3bt01tu09G4wu1sC3bfonBSYO/hKyikQPiVNrMP5FgUukxkObL6ObNvWZ3JikwNGBgU18qehy1yXpvX8oIPSvLOxTJvrQqoZ9qrMUOGgfYNVQgF7l31d1nocKztp+j/OeovM8Oy9H56NCcd9k0uWX6MF/EuNXCVHh3y3HMf/X6CLewl+8F1EhIrX/oz0dXXDpuM5zMSpECfSbGbWh/1hqcoV3GRWomwv11T+hJ0YJMC0kqXBIObRObhh9PFxeNFuKCj7aeQ2rxtHPLyvSH1pNhVvnzpgsnUOnuCQE7lxHhdcrDByEFyb873VnSLdiNlCBZ4v1CL84emSg80v2JipUvRtdzLcW/aKbCVt6MxVSd56q4JNHD7O/8umEMhUCnaT6BLeje5yUGqrcSoXzDppZojroF57+GuLfQYUNsPaDpCG63fbVvQc1qDCzQqJAxgK9dMGVt3e1qPBj4NjkFnv0fA2duq+7qLCk4kTzbo95cb5TydUCKpRHemlZnkQf+uN6NlafCu57Cjd7hqK/eMAwazaiwsev4fnnLqKv+BksJWNCBclIlaLrCeh+Hy07fM2osPOzmE5ZBrrvOZfrLy2pkM5/zJZzF12oPdtYwIYKNawrc2MP0c/+ERo/aMuNR6F2h1Q5+t5v2TfvOlDh1LeDv/bUoq9+aa/29QgVRqfTdX1I6Eu8tEiablTYvI29Op2Dfvyvls2lo1QIdbKJbvyAXn3erp3tTQVv6xNnxvrRW3+n2EifoELJZ/e/ciPo9BM9pON+VFBoiRM58hdd4KOx+osAKpC+yT3K4E/83yUtG28tCKHCs5HE96zF6ANE4wmLM1RYdUfgptgq9CyjjyZZZ6lw9HF3r/lG9Hx62I2BSCoItHo3pKigPz6y5oNaFBWuUwa2tGmiP5hokLp4iQpErRLFdfrolBveZvTLVHBkCFceM0NP3iscvjKRCru3GrZW2KKXD9+/45nMfX6u+JKAO7r6Le3qZ6lUIH9MINj5ojsaNDJnMqhwz3P7rcen0R8OaH8wvsXtH5XBGb6L8/JwIbc7I4sKJyhzv5wT0OUExz58ukuFr+SGyOoM9OfByuwteVSYfnE2c1UOukyjyauw+9z9szr8wLkidKMvJrlvHlIhOGxhcnf5vPg7NkcsfUwFusVpr3116BbpvZZHSqiQsUqUU0JG3y50Zs3DMu7+sVrFWdOCXqb0qetXBRVyvIe8EjrRp0fXZEIVFRbQydemB9ADrRTME19x6/6Nz/LUGPoLrX+/2+q5e2PrQH7/DHpFdm6mbBMV8ifrkl2EkrBP/BZq+BOpAAXtSzqWoXOy1EhVFCqw0yIV7NeiC0jJHBRgcOd61WzrO3l0FSap2YpNhd6kvDVHVNFDSpTMslu487ireurzLvTDDw1rB9qo8DIgxe/EPvSY++Lyah3c/IQEnp2wQh9LS40738nd8/FFMjFO6F1OdV2UT1S48vOSs4Q3+pvh61uX91Eh+7OlemEAur3i8lC3ASp8vmFbsOsceg6PdsWjYe7+1+9/0hKL/tZ+7uvkd+6cShgf9E9BD1jlsVp/lAqL1GnJIlnouxXdda+Oc/NDq/Z+dB9d3X/K+d1vKljNerw3f4aezdgUvHGaW9+BJQNj1ei/lHsv+M9RwS9fLCWTgM7vt/1SFS8Nfhs/fGvIRmcGC1/kF6BB65ByxWgHerqsb7DlQhqoZfSp3uuflzdHa5dMERostF5najOCHjpbo9u/mAY7FOV4F07Py9twwert4jRwW2N0qF7gKu43nkXfzi6ngaI81TB8KbqvzOBzwkoaDOvztGisQe/buPv00rU0+OKt9m9cDt3i6wIVJxnuOTEllBfb0XsPan+8L0uDrEsNO87tQt+h9jF6RI57vk2Zjv4+dN4Tg+t3KdKgqJX9WeQgui3b8UXsFhqsG/bZ/M4JPQS2G7C30SDEr2nxA2/0z9e8SKvVaHBDc9v1sEB0n9u/9b120kBz7e8aswh0IbXeihJtGnwY9o7ZeBldUE1u/d/dNCD7U7/OpKL3+1dHGerSQOSU38S7bPSTNTkdyQY0CHyalVv5AP32N47S+300SPqa+/1WGfrTVvOgjQdoUPaJ/DGiFl3ZZGmpnzkNJgxc/Y+S0RkrVwxUWtFAllSSZ9aCnrH8iOSCQzSgSwme1epCf7WkW8vMjts/3U/G5YfQiW1Zh2440sDh9Zj4ynF0D+1rPp+caTDlvr5V5B96ksCLQCV3GlxwjN61YFEyzvtCseAQT24fGnrum5ZEL12c6lvnQ4PQsmWTkzLorN69Tgt9abBPo+3AhBJ6s7WEvrU/DZ7YzRpOaqAPyomszw6kwc3c5r4/uugR8hsn+kNokJZ2T4nHDF1f2r5xWxgN3j2qWCFshy7TXHgp/BwN7LwdiyQ90PVERaHpPA1SND/0yPqhC6VdGhGN5tY9JaZJLQx9jaLYbdtYGjC67pruj0F3v5GnlXuFBhsSws45J6OP3tFjDSXSoG/SySb0NroK38ARtWs0YF/KaEktQC+/cu1zRBoNTK/5zZSUoFuPaDoTr9PA2G8Hk12NrjD9kbXkNg08AreajBPQo4+f03bI5sY/9NhvNQd9/O+SzLwcGhiu/7PL4CP6Pv+bo1/zaLDT0eW5/wB6YtRiXY1CGqS/U2jPHkOfGQ2MPV/E3QPtuQWMWfRtEXWNpMfc81MkpXmFr/3v7z6MjC99RgNHDaaupiT6JE1AxrGcBj6TK5cGyKBTBP9C/gsaqMxB4iMl9AYjqt23KhosCE4uG9JAv6EX7K1RS4PXoZZxSnroGmWjvucbaNAszxT0N0OnWegfIzXRQC77sPpzO3QCw91pKYkGm75uXzLrgf6mz8zIgUoDzsZHN4390QuNeeTzGDS4c3AJ80Y4etqTsNlhNg2izj0sG7iE3kYso6m9pcFkfqPRrhT0JfsfpUS0c+edfP9yaha62CcXM0IHDYZ6c8KGC+edo0+dE+uiAWHo78p9ZeivZIYf2H7m7lUq7/GCWnRd+Zr9OX002Br875gABX2DgE7XwAANflL2rjr+Ft3xxFHf7V9p0F+66CyrG30jn/rPsB80MBN+mqj1FX3s3MPjjaPcuSgKtiiYRA+6WNshPEEDULdxF+ZN+d/jak7pW09xfzfBeLxREN25vSY3c5oGo3vh0zlRdPPIuxM9c1wvPyKnKY7++7CknvICOlibEpt+SaFvFV4dEyxABznPezWl0ug8ex/X1Cykg6aThFjgRvSaTNIwnygd/iTovVRVRO9/c2yp2RI63DU9WPtrK7q2e9KWDHE6/B3zWVupjl4lsQ0+LqdD5tvi1nM66DcvmBtvWkWHSj0Y0tNFN9zft//kWjqoxx+wE96Hflx0ZM9zGToU/R6VaTZF/3HKT2lGlg5W7Y4G2QfRR5c5iBnK02FlQHGjjx06ObXkS6IiHa4LCWapO6OLJvu9aNlCB8HPaawFR9FjC65FrNnOzeeeUNfmY+h7gsS1j6rRQdSp9UC+P3po+tjX4p10OBbamno6BL04f8v1MW06GFGy1E3OoqftqVXX2UMH+URztXUX0cWnc6lRutw8jC5JHo+d1w+n39pSDOigs3WhET0RnWN46P3S/dz8BDnZ309FX8grbW1/gA4p37aSL9xE79BVbswxp0MB6UGG0x30g5nn5Aes6KCl8rVWKx/9Zd6i6K2H6KBvuM5Qqgg9/sfbltN2dDio6q3w++m8fl7WvqbWkVv3FYM+756j59wVc+R3ocOABEWgphp9TuF0sqk7He7v28qb0zAvflhUleZJh4+U3Y6XiOiOIZT3733ooPxi1TJfOjrTrmRkvS8dWBuG5Wya0U+GvZz18adD9vqWW7vfoUd7fuYpCaTDv6Y/xxW60K8Wyf+dCOH66pjbEn3o+95eGtodxq3LjgwF3mH0uwFTzJhzdOBIWEuO/ER/LXy+mHqeOy+kz66fJtCXKolHLIumwy/rY4uap9E3OJUa2MfSofHlIkkCb+r/Tpez5825QofYP98jqoTQpcT5KvoT6XBYQtOoRAzd8MFTly3X6NDMK+JXKIHO8bWbC0qjw4665PG7q9AD+v+kV12ngxoMfLglg85/O02G5zYdlMK1N2bIoVcuWndvXzY3fudiaooy+qfaWyuv5tBh9qNLc7IqupjGv9iWPG5f9Z7TSdZEFxkzH1pVSIetTvJ81/agt56O0ncrokPvlpgtqQbo93VvpBY+psP4nsoXGSboQ5wrbd9K6HA2cODebUt004eHl6mV02HtQ60fOYfRc/X+6IW/oINQAyvrgdO8910TcKy+ig5fMzjFz9zRXz17cUmglg4LeI6uqfFBP3iecsO0gXvOu4ffiX7op+cK7qY2cffqKGnD22D09Y+MstuJdLCT7q/sCUcPnH1wTZpKhwfKcs/GLsyrux857CiDG8/g40X8cegNwfl2RWw6HJe5R1qRhL42TmPLzxY69/+g/IBSGnr36nOT6u10uC3pcVz3FrrBg4AXZzvoYOoUZmF3F70sR/xkQycddion3zhVgN5yxllK8DMdxPTJevHF6LF55i9N++iw0MnUquAZOjO12yJ1gA70rbtfN7xA561c8qFtmA6Xgutvdr1CT43uOLL2Bx0oH/+wZ1+j7/Lc/dZ9lA5la5b6r6Ogd1JV9R6Mc5/vkj+ly0K/s6ky/9tvOixu9nh7tBWd0UWeVp2mw8zdwTtXPqBPeR01OTNHh5BvH2lPP6O/l4tJesXLgE4XT5e2AXT/+E0EXgEG/LuZf/jfd/SPfw1+7VvIgDWa9aWK4+jRvZ0rkkQY8OXdh6DDf9GnH/3YxlnMgAipdbejedL+92WvgvauEGdAUELxplJB9Maz3vpOyxlQT7y//LMour4FcVfuSga0uKifFJdAn81KVupfw4DzPWc3G61CTyPXLFaSYcCi7jsHwmXQ2zUPDPrLMkCmu7H5qRx6i9nOynI5BnBOiDT2K6MTj0ecm9rMgHyhnOXrdqDLjqzU2LOFAWe07rHttNCv6S7si9rGgJzInWNpe9GHqvddIe5gAPVQzFmWIfreOvYGkZ0MWK79+LiYKXrHw7xnltoMmM5rrTc7iL7t3Uv1jN0McFy4KfKqHfrIwyVP3wEDwj/W3GM5z8tPaP5aaQMG/L3WqCLhiR54J+Ci+z5uvVIcNtifQE8MDX5/34QBdw48jLgbMC8ep4cKw2YMGJRrhi+h6PyFIr5brRgwdGX6xLZI9PHHt/ODbBiwrt14LjwGnUSy4LywZYBXYNcfQjw6xUxh/K8DA35XfHKWSEE/nyojCs4M8OQJUfK4gX5zWG1VjBsDMoteuZZlows+dltDOsqAbqHuWb589M+b88RFfBjA9P/Hb1eEHlE+PmdxggFu2/RPPypBd7pz6FOaHwM+3KRZ8L5AV9Ose9EWwIBPv+pT7V/Nyz9bJXp1CAOOJhnsLX2NXlGVo+9yhgFPHpw9JEJBp8LSqXtnGXAkPv6tNwu99tm5vP5IBtgGZdQ1taLvcejSU4xiQEduvbjsR3SdWPW2k5cYcM5qGyeqB5114azrs8sMEKsW+tsziH4g/XHnrwQGNEr4XTX6ia4uTLLSTGaAaGpMYtEE+m4l4suzqQwo9zg1vngG3WJv4fK6DAaQXhwin16Qjnsg6agP7y0G3HtpJ9S1EF3J6e8TwywG9KVkl+5fgl7/03vo8l0GRHntJ5UtR/+bfH8V7R4DHjlEGMusRa+NKNu7+D53X1111bgqiy49E29/8CG3XjLLk2c2o3tZbvbJeMTNv1Kjtd829GUv40+0P2VAFvFyTLcGOiO02GN1GQO0ha+ut9mNfoYWZ+lcwQB7gQlFsj76xonVqrkvGSBE683Za4K+ZMdRod4a7h7wiYx+YYn+ot6pWa6em8/+fs42W/RXHTxpx15z94C5XnLxEfQ/dRb7HhEY0JZXXil/FP30A72f38kMMBhysyg4jh7MbE3aTufOo4yf9cYAdBs/IZlgFgOSDGaa8kPRG181369oZoCixY58uUj0S+NqG6ZaGbBAU23kYQx6nqlCqs577j4fk32kkoBuOvVwIuIjA8yD5N6Wp6B3b6uwqO9mgOl9F99dN+fVV944m7eXAdfPjAW8uYPuvMyly+ALAwKa+fstCtDnNvySjBtigHN2FamjGF0kkU+X/I0BS6rUVx0rRWdHJrouGmHAceHM95OV6ANKl4PNfjHggq+Y8OW6eXluHDuXPMmA29VlD1YS0GcCqWHsPwxQYT2peERDFzy+6IT4LLffzsuq6TajH3371PIQDxPCstXXt71Dv/6pXPEGHxN4poQi/brRdauWT7ULMuGuS4OJ4Bf0/fHs6lWLmFCQGRWX+w395dlPgU5iTMgIPqW2+xc69YWe9J2lTFj29InV+z/oY14jr7okmPBDxK3rDE/G/04oGbRaL8UEGbPij1JC6NI18u/dVzOhSemZaZUY+o8nhYfzpZmwyv268hFJ9BNPPIl965mQeD8ygmcN+tfOI8rym7jv9Shpb+EGdL6jiZd8FJjAu+lLoPlmdH/Xb5yHSkyIefVkxeRW9OUT5ySGVZiwZL2QSq4G+lqjnSbKqkx4Prm8wnQ3OvGUVPBJdSbc6599OqWPfiNjTeoTTSZIX+tZ/cAEfWvz3vwfOky4njYwZWuFHrQvsmjbXibEJm03WWiH7r24JT9AjwmpKz6L1DijG+3bnVZqyIRTpLV6pzzRA4UrQsb2M2Fkh9DQJl/0+CBtUzVTJvAPN/F9DES3yiIsD7FgQv7Z0NSMMPSa7MNvnx9kwvdT+mkWF+blObk/buIQE4StTQUXxaFrxgeq7LRnwp7C59+JSejr8iZIoU5MeP/jnnFsOrrlTz/bShcmHHi0U8ooE70ktu3db3dunPY3HATvoRuHK1tqeXHz5t+3hPIA3abzWFXYMSakexnqXH2KrvcmQarKlwlPnr1/Z12Bfh+uHv/jz4TkBtLXVa/QzdxOlmgHMUGAb0dwz2t0hZ2bhsJPM+FDz65TjynobuxnK6rDuPkhLfx0ho1usGex1t9zTFgr9Ypg2D4vzgQtc50LTHDaEb5eogt97xtl27PRTLgddnSkpw+9Z7LXujqWCe+M7mo8/zovThVng79XuHPxy2wkbgy9KDBdQSeJCd5taeud/qCfZET/C7/GBKp+OnE7z/X/fYOJAq0qjQmOVwJ7hITQk79FJPy5zoQN41Yhn8TQ79Vd2KN9mwm72YciqiXRTxOU+8KymfDyaO7f62vQDwtGnn+Zw4SyMdufQbLo1bGnRKfymKBZl+V4UBH9wP5/VzULmeDAn7ZbdTt6s/lmvjNFTFDkcb4uronukvXF98Vjbn2HZLwm9qAvVt1JnihhwvDE7KP3hugGSyRWapQz4bPt6hP1pugXNcKdQl4wIW7XrZxCa/SYPM+08iom0FiZZtcc5uXtEOfV2Ctuv+02Cgx3Qw/YX9Oh2sCE6gfVYl4+6A/D1n0LaGKChPo6WWt/dPXeyZESIrdevOlPdU+jF0fpDv2gMMFzy+7y7RHoTea/36owmNDA3L1dNmZe/nWlnp9kM2Hpv0q55QnoHQez4x61MKGHzU4XTkXfGR5tNtzGhJJDxWf/3USfe0wQUOxgwsBNn47Ju+hve9zLfDqZ0FGgXP7z/ry8LbGxLvzEBHr0KoHhx+gLFK739/Vy94/GIXZ/OXrI2k0nNw4w4Uj9nGRvNfqOnul+92EmiEvvbvnciF56fKVN7nfu3j6wTaSHjJ6Xf7q8a4QJk3umX/Wy5vXJhSVC0uNMePT99eCXNvR93z+bO/1mwusDRclfO9FVOgYv3/7LhBoDztPRPvSPausr2meZ8K/J2eTP13n5/BLTupyXBa3lgS4LfqG/61oyZMPPghNT236I/kV/ItjwM1WIBaTgmqmVvDfw+9A4ZYi1iAWd/Jrn5Reiq1+NaBNbzAK/y4TzGkvQg2ovvjBdxgL5t/F/jVagP224FR8vyYKEhsJRO2n0nMgGS5IUC6bXgafvJvT1Hb8WCqxhQUndaeuLyugGNVsr9NexoNHX79WNHeg7BfwOXdzAAqmfxnlPtefFn1X8pXYTC6IWK/OTddEPu/X6Tiuw4FrSzp6e/ehNGhJ9WsosqN2cvPufBXrajIZl6FYWmOUckpC2RWdk7H9SrsoCh6LH3rud0Z90GsyNqLOAPfNyp7MnelaFvP5WLRYEm2XHXPBFX/v3a5jvLha07A83zw9CH7l8Le/hXhaYZgVlkMPRp3TE6vv1WLBkpNj+50V0wx9uTFkjFqz+ZpgpdQVdOCKO7WrMAs0dRx30rqE/qg0nZJuy4K/75hsnb6BXJ+588t6C2w9SlVa376B/q315eYU1C4jfVONJBegyyjOHbA6zYDS0Bn4/Qj9eNCOZYs+CKePQkM3l6BNiL0h0JxYcG7uk4FSNrqyyyU/YlQWx/4QdrjXOy3+HvsA+DxY4/1EQJpDRPw2KpUR7cePx4tWaYaGPKkaJ1R9jgTHpZb96Ozrb/1bktC8LDtwJED/VNa9ely0/aZ5iQdtR07rifvQBgzyNkCAWUNN9hwa+oc8FJkU+O83tk7xf6fLj6A+6hV9+C2PBzALBOu9p9OcOK/o3R7AgdyPB5+GCm//7tsdP+L0usCAwwCb1qzD63jzainvRLPh9sEVn+zJ0TcGTazpjWXBGxcczdCX6nXsJ4qviWTDoqbq4TgZdcs/GmUNJLOC1O6QlpIDum6v6LuUaC+Rcx3oObkXPTSstpKex4FyryuK7Guht7+/6LLzBAtZixeqvu9Htd02sNrzNgqdHBAd0DNGzzz1ruJDNAmuxwYxEU3RDF7p9TQ4LCn1Hmjqt0cUKDXsn81iwv14vRNURfVJyuduOQhZcNpu7H+eOLnpSm+VXxALHQ8YOncfQb/k+2V70mAVBkvrJGgHofC0nL/WVsGAdSczo2hn0Lrdgqkw5C3zyGZHD59GHml8tcHrBgrGP+Vr749D5vxiq3KjizldB2en7V+fVy1boAOcVC7rl1moIXEdndf2zF21gwZfEBWe8s9GX6ig57m/i5nnm8i5KPnr8hmjzaCILrmcyo1UeoQ+a86nVUrjzGDtlll6GLnCmaNEUnQUWHQqZf6vQP9kEvN3BZoFg6fkTRxvn1SXTJsWvhbt/ZGTqGGT0JB7LvQ/bWPBEU/m6Nht9g45LV897FoQtJPwsbEfnnY4IkO5kwY47i5nLu9GHJwrH7T6xgDmruD3uy7z++dh+Iq2XBd+3aq+Y+o7e4ibSQv/CghpVl4u+E+iyO/aoCA1z4+ev8f80g67Iczxc7zsL1HMDP9vy38J7Jzyh8twICwxn898xRdBrTO8MVPxiAW1xyCFjCfSWjXeERya5++oN3+Gm1ei0J7HSSn9ZECF6ugNk0ckZ1hs9Z7nzzhzqq1VET268IGbJw4bM0ZiQParosssMF3zjZUOGnVd8nRZ6oNj4zyt8bHjSXbJRTxfdJeFqm5wAG2K9Yg0I+9HdnRa/eC3IBr1GoaEDluhXbEKSXReyIYdkL9lsi+5vVOs6I8yGLpNMgqMLujHfgOJtETYwlv+Y6fNC/+jy85uGGBuoE6erA/zQoxTfPmxezIbKZzZzsyHom9XTnU8tZcOCRUXkpAh0M0slEVFxNuQ23lwlfQmd3/Rm6UMJNohm6I0+TUT/PdluZbScDYY6ZEv99Hl5kB0e/LyCDZzj5hrtmejC2bTw8yu58bwdu+eXh35ox1m+Nau5eVPsuC5QjK5Z/iu2cg0bDCTkluWUomt90+A9JM19XntCQqdqXl2K954eWccGc92Td9sa0NOqRXqS1rNBmfzoWQgZvX0wc7+iLBs2+rcekGSjr+Idvk/YyIZq2iK/inb0V8zJGXc5NnwP9ZOy70avWltvNifPhh0LZA7MfEHPq9C9nrmZDedndAXyfqCnHg1v26nEBs3RcWOTSfQ9I95LW5TZsOfYkeVjs+hfNwkZnFJhQ1//rRPZArdxXqh2/iLb2DAxTDM2FkPXK7JNe7CdDeXjK55NSKIfjuctMdjB7ZOIrNyCtfOe32H7pluNDQ5/zq4+vAldzte6+ZwGG6Y+tkkLbUGv+/vrnZQmG+7dYBdXq6FbP9B6V67FBlpqfOOpXej1O9exLXW4ddm50UPeAD3UP6/h6y42BA3WJXUdQD8j0VR0eQ8bfi48r3fLel78w5GJG4Gbh/GoizaO6FDJ9qrXZUOzwDeTpR7oX/ZUaTnps6EktfMO8zj6HT0N/t8G3DkaPhORHIiuH6tPTjNiwxfXj/2W4eiGtK5LW/ezQXb3lg7xKPRHrUI6VGM2zBCvOLRfQRfxrhnwOsAGN0MJzzsp6Kl7fl/lNWND+vi3P5630H+vrdpyx5wN+pKaa7bmoie8mWvSsmRD8Edx8tQD9C3jBJu3VmyIj77HQyhBP+gr+vGUNRtMtfgJaZXos4OsIyKH2NChfGS5Rz06WXlxW+FhNjy8TB3dQUL/OPpmv74dd+8FBTgKsNAnp0ZLO+3ZQFhyyvJ9G7rnXJpkuCMb3pwfYD/tQheuv39K8ggbfD/87Yr9gn7ot0JTiTMbvu6hhrv8QDc/KrXE1JXbP9Wh97Qm0ZPqAm2+uHHr4rHBVnIOXeeNekqUBxuOG3y9OSqQ+b8v2+ZCWOvJBpbXhDdbDN2j6utYpRf3HJZb07Pl6CLSH1ba+LCBGWPxJE0aPUJCSfPHMW6cF7o3hcqh1x1uM48/wQaeenUlJxV09+zOI5tOskFQ61StngZ6Ws4ez3o/NhzuKulS3IMuJDV+1PEUGy7ck0qWMEJfXD3nNBHABm8/Em3ODP0SOJmlBLFBS+nTza+H0N87C2koh7DhyKvosfdH0MVoPCuIp9lwjZ/9geKJ/mK30U+3M9x6dQ/a1JxEn/RpbpgOY4O2wg/HpyHosbyFCTfOssH/Gc9oXgT609paM9UINsiY6624fQl9v5WUED2SDRY0NjUlaV7eTj6r8r7ABo0J1uKEjHn1IsZ58kZx85Pq2nMpG52z+JZQdjQbjnrkGkUVoK/58zlv5yXu8wrlWhceo9/f6bGTE8sG26yXNeefo5eFrXjte5l7H53mMC+8QpcKmDESjGeD54l1QdFv0Pcylr3OTWBD/+aG+3F0dGndQzt3JXGfd24/nvQWXT+sMa/1KjcPzy7VpX9Ef7PJTijgGhtSCYP52X3oh8bFPRelssF576bVD76hb7s+9rIgjbs3Ku02lI+jy1f8EoAMNhRS8qsaZtBv80qavr/O7ZNFir0s/qz/PVLh4JXgm2wQFll495Moum3Lw1qx22yQc3AfHpNE1ypd+fVBJhsizx8mC0qj00/eXaqfzYZpHgGttXLoxqWaWz/eYcMLjxRtNRX0M4o9BqE53L29YSXDVAO97ELWwaX3uN8PVa/GvPagDzi72xXnseHG3bvFUUboaX6qhw0L2GBi1DV+1xy93k7YtOs+G36tyebUHkaXIHzRCnvAPefqlG6XM/pLZ9I68SI2GPNKGvB4owdTHs48KmbDgY7F7zb6o98sudJs9Jh7350R5jEJReer9MztfsIGtsammlPn0dXjdLzDS9hwzPeC8K04dIUmoU0SpWwIO7nra2MyergE9f3jMu5euhLm9v0GutnaC5f3PWeDi6jd8dU56K7Rm1Q+VXC/T+C3gMkD9MmhSmp4Jfe7yCt8Z3gJ+sjkTjeJKjYM1s3+La6cl3+znO+Pq9ngfqXApqsefU/yj6B9r7h1+XtVV4KMLu0iO9Jdy90nxh2NJmx0fxctr/B67r2ZX9Qe9Q69Z/vWZvFG7j7UXhtd8wn9eSiv5uPX3Htku3Xj5CD6C3ZJutEbNuwu8b2uNopu0r1zsIvA/e5qvTIX+AfdWT9DPYzEnccGykwpbzb2221C2DIKGxLjLVJ+CaMXxpCfF1O537GGmlU7xdFTcjIHDehs4OcrOHNuNbpPorZkJ4MNNZzntEZZ9NG+PM1QFhuqquIrhJXRo03eWi/hcM9p0NewUUNfYEvzetjMndP+fwfu7kLvK4wN0HvL/b+g8Hly2ABd9R1PcEcrt74XBLW1zdAjY3X8gtvZsPbztWXxh9AnTLa7ir5nw+O9dy52HEE3a+g2vt/BhvZLFnEqXuiM6H1Kez9yv7ezm2Sj/dCtlD342jvZcNB3re270+hgs/3tqW7u+Zyw9dvPo6elP81e+JkNlMdTUfFx6K2XOo7c62FDQWvN2b5k9A31pZI6fWzYsqFnkd7Ned6h+qa5n/sd6Ja4IycHfYmfva/vABuGXNtH5x6gVy7euIh/iDsvg/3Gbs/QQw5fy80e5np9m2bTS/Tt7ZlbNb6x4c59Sp1CI/oJRYPnjO9sGLDt6rxKQVf+HKvq/ZMbT5L69QkO+uJ0t8K5ETY4/f3a59KBbtjCFr85xoa4g5sYlB70GI23odvGuffa3lnznV/R15ofayZNsKH+2A2fgl/ow48T5Nx+s8H19JLVkjPo9gNaAVNTbNDhv+IVy3/nfz+aHFCW8pd7D5bKHJgSRc9S2/Zt8wwbSJKTpJPL0aWOBUk3znL33mul7h5p9LhXmvsc/rEh36TzmqM8+qbGCO9RHg5c3KnS0bIVvU4Azscv4IDHUp06C030p6sirm7g58Azx427aYD+OVE1o0qAA+UZCw+ZGKO3Dh9JOyjEgXRtYUGKFXram+nLQws5YN1gaH3AAb2yUOR01CIOsLM6tBju6H7rEhxWiXKAozNcdfAEesDLEI1SMQ58FkpvbQ9CF+WlLDRZwoGzx8cTXc+hr7x0qeXTUg50N6p0DsagL2AUXA8T58C2Uy6U4CR0greC5VJJDrjT7lvxXEfv/yDM83A5B3Zv2RicfAc96oXJQ5DigFPvxPZ1hehwsW9/+0oO7Ni7J6HkKbrD6/Yu/9Uc+Be78oJ+JfoNgQ1+gms5wPhXuKS9Ht2quXbsjjQHLnwT2u1HRj/x7NEpDRkOvLriyC/AQXdXGOylr+cAr1jdsbvv0bXqAiw9ZTmQ8uTgce0e9Nhp/bLpjRwIyVQXbBuel3+vI6LpchyI/hcLIb/QC6OqnZUUOODI77VccgY9tNWxsHEzt3/oI5cr+O/+70/6db7YK3GgPtT4pr0YetlOe+kRZW6e1yUazC5HDzF7ZnpZhQO/37cn5a9DDyvWDVy3jQPjNebBpgrorBbB5IrtHLjcLPJ7fBv6SlOePLMdHO4eVl2Zq4V+KU3pSa8aBwQbP7aZ6aE3K8eUnNXgwNJcFbVpE3TrW0JFyzQ5MNior/LIGr3bvuL2Qy0OnJHZRTjihD78PT4KdDhw+InG9BJP9JPt0W5tu7h963SQ9eYk+mjGnZ1+ezggK/VE79xp9PT77Xz8wIF3RB9rtfPoPFe2kjN1OXDeIpf3exy6X3VOjKo+B/ZePW358Bp6QfXmnWQDbj6dBXd73UKfFiB1uxhxQPNmIGnjPXS7VWEXJ/ZxYJdI22hvEbpqoPbKJGMO/LxsXXO/DD0pfuED2QMcGGkT2HS8Bn22s2dLlSkH4msXb9n6Bv3eEKHI0pwDeTOJLeP0eecrlEh/seBAj1X26trWeflcmn0lwooDCUEuvJe70DPXJwyLW3PPXz562Xpg3vmsUIMiGw4EDwU9lRlB/37DNR0OcyD89oLTP6bm5eGHXkerLQcu0es+1PHmYD9Yrll50p4DC+WIPSmL0MVVh8wWOHL3hp5mgqcEerdwUdgtJw5UVm9v1l6LPmFln7XVmTvv8pzqpXLo1yPGn79x4YCIlKbhkAp65oJzBEc3DpyWivJv2onuYz9EH3HnQOgzhnYOoH8d202LO8qBD167CiOM0Z/sC25Y68WB5ZWD5U4H0WtI8Y/LvDmwSWbcY7cjesVQ5DXjYxy4LxlRvu4oOkHG/HjXcQ6QhHPuLziJ/vTjuHaILwcsT57THgxBr0wL4l3kx90z97edYkXO+93ypvocf27+V3fsexmHvrG0P0QjgAMxyrcb8q6hf5luXU8L5OZTPfFj8i30K/xpTW7B3PvoKjMz4h76+l1SzpMhHEiOj5r2LUa3WHL0e2IoB4TPvJ47Uo6+fyQoZEMYBxxySwosX6GTzAzHXoRzYJ+pz3cDwrzz0996m53jwNoqoffaTPRtqhuaP0dw70H5Eh/VdvQjGQrqZ85zwJt+7rbSJ/QCxf4k0YscEO9K9JcbQr/mbPfxXhT3/MTZLxvG0Ldnn5PVjOGA79yPBeun0TUOWrrSL3FAbRt8XrIgF+MfYKW5x3Hz/KUvLUUQvYT699XkZW4+y8+sEBdB3+PJ6EyM54BXvuDJjCXo5uuMJtYncuBxfW66lCS6mYcr34skDkQsPXw1ayW69u1VC02TORCZtcNhvTR6pnIg36drHJDyNP59fwP6laijEyGpHDjue99nizz64wU/OoXTOXDwmX1xuRK6xorFtXczuPncFli/axv6N9nGNLUbHJjqmS18o4YufY3flXyTu8+bxNwttNAfNrRucL7N3Q+Eku/vdqP/W7vjw2gmB251jpl56qGvEJZKjMvmwPOZ/vMjRuiRQ1Gqa+5y75dlt2IiD6Dvkw1gluRw50t4pZOIJbqMVLe74T0OnGCECGTazHsvZfrXd3ncPbavNlrRHv1Ao/pJvwIOgCNPS9UR9Oe7VvTyFnJg+qvZ5AF3dIsZP6sbDzjQ+7H020cv9Eue2s+VijhAF9n74tQJdKvW04vri7nnH+ax4TuFvrtkvavNYw4Epgs13QxGP2KtWTjwhPv9dtdDUCUM3XZdZe+5Eu49aLpeuikC3TXojtTSUg4o+1sKOUah73gyoFdQxgHP9rk3o7HosirpHlrPOUA9vMc2IQFdyOpOOL2CA08rVtVsvIZuGcx32a2SO0eNeb9q09F//HqdMP6SA3dh4J/9LXS/re8vXanm7o3Jie7xbPTu8wan177igFFRZ3rqPfRe3X9Oz2o5ILbyyZpthehPWcLahvUccOYNPsMoRp+MdRN918C9TzfsfXCyBF2sjqfN9zUH9FSlH4k+RydyBq7/a+J+7w2ui3nyEv3qagmzdAIH/mO6vsOpbMMAgKMlWzKjsiIkKSRxK1kpSqISlUoZRWYaFCIjlYyIhCIyskJSQmRzdlYS2atkhPrev777/Pu7zvWcZ9zrbVk8vNWsHP3IlN/cpto2GNnwKXfqI3pcjuKTt5/b4BRb8PLoGnT3TIEdpvVtIGqetkWzgSlud6tVfWsg+u/bbYrdLeg9ZfeMPJvaQKVfYymAgm7lJ1bN3tIGsVdrUxW+oG/uYqgltBL1X3RiPakLXU6xJnEricgvh/LL13rRS95/Xagkt8FH9j2PpAfQP49KHbKktkFk1N3wphF06up78UO0NhhOTzlxdZIp3x3WddxgEPN2R+KS9G/05NMN/HztbaD86a5n6zxTHdgTr5Pa0QZq81cqb/5FX2t754x6VxuMsl/sU1yWjPVzdei1uu42uBDg09G+Cp015kXIyR5i7v1dmB7KhS5tQY2Y+NYG/EPyxlr86MLRQqH+34m8+PH9w6ggummG/XXB/jbgcZ/mTBJDJ/VU2r38Qcxp/A5bzDegbw+T19UabIMBvUMyK2XQI2ejBJqHiPMGl0y+lUeP91jRdXqkDYqsXke6bkEPPuSd8Gu0DZaUDTjkVJn2/2XgcNB4G6wLvGvVrY7+3tpiSWSyDcob7lyL0ULXlX379NUUUd+uHnA300UX8BdS1/nVBnLzw3tW66Nrvbevap0m8uKdy48qY3Rt2ZcGZ2faYL/S0Gk/U/SdbIwPv2fbYD7vfJ7WEfTPSb+U784T/aLgF33OCl3RaO6R2EIbHIxKprw5ybQf/e/jWYvEvFp0M93zDHrH1zyAv8Q+vWMOqdmjW5whuuY/Iq93/Gn57Yg+yj9ReZaVBEGGxbLFLuhRmsd+/2YjgRJ752EfD/S2DfESd5eTwLbBy2K3D3oeZ76W2EoSVH6P3sLiy/R7vUSzrFUk8E827Kr2Rz/Bc/y4zmoSHDePPxsajL4yr/dYKwcJwvckVBwKRxe8omFqx0WC0WLraeGH6CcfWWhOc5OgeeHH36/R6JonNcSCeEkgcfhAz8t49GjerklhfhLozsc9dktCH5/cW56xhjjv9m457efoBnr2flprSXBKSy6CPQN9q/E+jSZBEtBNAhoo2ejN+9r7bIVJIJ3A0pOcj97gLXt3UoQEJmeyG1yK0c9KS0v6i5FguCk2Qucd07nutuYKiJNgzZpmeZ6P6FwDCjteSJDgjLVtfPcn9KN+W3PUN5DgN8Xye249esqDDonPG0ngkv5pmX8L+tRxpYDjUiSYnCtZsKCg14lu6B6WJu5tTKdB/gv6Xp485RuyJBB/cd5tqQt9weOrB7cc8V6gNUXqRZcNS3/9VJ4EjxhNhhkD6L73VvZuVSABJUTR69Yo+v6SefaPiiRwdLS7cWwK/Zyhr6z5FhJMR9w6sW0GXcnrocZ3ZRLcWx3Fx7nAFLd+KuChQoLqocyn/f/QRZ8e271ClQR5u8nLPy5P+d8rOFdtjdlOAhrXOr3E1ejybJrCcmok0LF7cPwaD7rT25HpYnUSnNu7x+iYALruJfHPRjtJAK+1eDVE0HvNPz/4okl41r0cIQl0sdRRU0ctEhjt0N80K8m0TnQQ28JuEhTruXoxNqGrn370KkyHiEOyeNJbRfTLu/j2i+uSIOTLsWeJKuh9x/90Ze0hwZix6rXbaugbp00vaOuRoEqwWMl+FzrocP5o2keCdMXfxSaA3umsdMLWgARvvP+sU92HvrUwt2rckATe3ynHRI3RxwwjpfyMSfD9aORlVlN0e+s2L14TEtgX6NoMm6NfknSsSDpAgvauMRmKFdPvG4//22pKgojC9E/vTzLdT0Ti9gozEmisvQGZZ9CvPla1OXSYBH9pVyNj7NGFxIVu9JiT4Crl1fsAJ/R8Y/0HrhYkyPgmVX3FFf3i4fI4FksSLLWOpJz2RJ+0u/74gRUJDrmttT50Dd03+0b4xuPEeSMzR3X9mO7t1HvP1ydI4LBUZqUaiH72pbaF7kkSzPhYJsiEMK1fOCvXakMCvubgt8IR6D/zhyZPnSJBwjubfM5HTOu08OVOnCbBxIofASyP0evVHe387EhQfkF560wCurbgLw7ecySQT9xXOJqMfjzm5cun54m8sFUX6EtDN+kP1lK+QIK9dvwHOl+htypFVJVfJNax/m5LfY2+ObZE96AjUa/+lJq0FKErmi4v6HQigeBYypr6t0zxfP2ymPMlEqR9fVXw6QP6NsNpr4XLJEi81qtcWY0e2x75OdSVBNvOWQR+qGOKHxtDXjE3EswDb2F5M1M8z/KYZLiT4FfOxvfvyEzrt/y4vtOTBK5mMSnvGOgDnI3JtV7EucpvninvQo8nl72zvEoC5Yd9f973oq8+UNDY70PUzzOMyx8H0EPjc9s8rpNgd5V9efUo+tT37IZlN4m4NUj88XkKPePAq7eRvkTd8wkZbppBT5t7/lTyFgleDe6sIy+gX+B87P36Ngm2S5T6t7OkYh1Ov60PASR4mCgs3LuCySdt2ZsDSfB67EzQMAd6GPuWipNBJKiLeNH6ixfdlm/IeSSYBF7/Jn4vrUUv3PyA51oI8V5lpjPsYuhHPTe8YA8jQdTulra1G9BjBaJUYsNJ0DPne1dSBv2MzMhr2QgSOJ1zEtu6GV2qVnJT4X0SXJ9MDtZWRqeIqT3Y+5AEzzhVWg9sR/+rLTXRGkmC95LS0yd3opeY/th7KooEKxPu/rqkjZ7q6Bs2Fk2CFd8uNfvtRR/KGfh8PZaoMxY9gZGG6IY7NyysjiNBjdWYUNoB9EUpKanH8UR/N04JfHsY/XvomPamBCLfA7maWyzRj4T5mhYmEnXVTvNXvzX6LiAd2ZtEgl271KcXT6PzfOw/2PqMmGds+drW2qO3KrzZbZtCgqOS1JAtTuj8MbobR1NJwNP6cL2hK/roOv85nxckCH5z5P4ZT/SVVO9Pq9JJcF9CvvPGNfToL+uDo1+SQN9EfEWcH/qJPR7a0pkkWB2gzfEmED1J2nPw9Sui/66IGyGHoGvHrr+rk028C9/ujJ8RTPGQf0m8MYfos1+3662JYlon7NSL469JcOTVvVLVOPQ2jSmpgTwSzL605LJ4iq7WuCHao4B4F84ELa9UpriyGVxgLSLuYbmTYdxLdO9/hlb335DA8kPr1vJspnir0UoXLyGB+8X26W/56InVFSMZpSS4LBcds6oEPYubIqNRRoInkjyCyuXoKQVu5tXvSHDXx9z1aCX6yc9xHoffk4DdzOXlzVr0fTYGYd0fSCD14Up5WiO6aYBnjNNHov702ee2tqH/2y8TM1dJxD/V2neBhm5XbRZ6p5oEh1/aKMh1ogv8m3ZbU0MCzcs+BUe+oe/k4D+UVEuCx+rvRG//QPeffiapVEeCb9zbbXJH0Lc2Jg+U1JOgfmn4ZvckOmcSX4p+I1HHuKeu88ygO18bPkRqIoGprrkVLKDvcFKatm0h+v7jdXxXWJ7/7y03yWEjrSTgX3siLXUF+q73ncJXSSRYmysmRudAX9TQf7ycQsyxdo5OnHzosjOruR9Sib4sYxmvK4hutUzeS4JOAsnB4TQvMfQShwRyBoOYW56qPczegP5P9ZysejvxLmp6x/tl0N0v3nCq7CDB+tiN/yQU0LvX9L4w7SL6VFa7v9VW9MRdkZT2bhIsnvDte7gD/eFAyKx9DwlaA0VkmjTR1SVreH59I74jVr/ZsxrQ/cf1xPy+k4Ct9qy2wT50VksWMc5+EjjHKAsHGqM32cxxx/4gwWkz6ZZKU/RAzs0zUoNE/NeYnmezQLc4d5+UM0T0x8byL3uPo/9xlk/dNUICVtWbSoG26GWbpy7UjJLg2sc4m5qz6Bee/thoPk6CO/s2XlrtgH6qeUVz1wTx7rclrA9eRr/7zsTFYYq4N62ncpHu6LZORct//yRB6fZcEv0qelcnRNyaJuZbOZuT633RY9YMcnLNkGC8rbD6fAD6M+5XN2NnSfBvuJIz5y56cvOd71LzJBiRi9o2ew+98ainds4fEnBrqanvecT0vyleYZqLJOgl54uGP0ZfXxTUVL1E5HWSaCc9kWn/YSnLDv0jgZ6B102ZVPTVMrVbOljI4OlKXbrykukdb06Z2LOR4dlHPZuKbPTKR+ttp5aRYbS96QlvAfqR8ybnbqwgw+MTt0pPlaDvGfewXbWKDBydF968LkfPVHh8IJKdDNWzDyLZqpjiTShfWYKDDDZ67KZHP6MLZ31Y/pKTDNGH2wdfNqHzDpQ3q3KTYU++wNklEtO7f8wIL+chw+GfFe/MGejzO27pGPGRgfRk/PfLLnQ5LZ0+Ej9xLrUMHpbv6D2NPTdtBMjwZd/SymOD6E97z3EOriXDb+PZ7tdj6M4eteFuQmTIrkqN4fiFTvdZwbYkTIbgLbzK5+fQWYbXOQWLkmEDi8GLiiWmfCxb9Zl/HRnk8ywWxZe9+N8/9n0SSRAng0OB4fZr7OgHrY/YbFpPhvdeivsZ3Ohha7OjX28gg8BFrj0aAuimK1o/7pIkg/PUjHCsCPpfydJv1VJkaPeZbZ6VQL9ne/63qQwZAs+L2R+XRvfMaVtkyJIhSdC5q0wevWL5wqydHBlcBud2bFBGX2bR/WNUngz7NZucA7ajn464WuelQIao078DB3ei+72oSWJRIsO7gps3TXXQn4R+cgjdQoZ9d9wsi/TQvZTd5NZuJcNrmR5eCWOm9W/XMRJViH12kzLumKJruH++KadKhpeLljITR9BP/XISyttOhlufrvodP45eN/k6ZZcaGRg39pVV26L/OR4lVa1Ohktna+gq59DnxAViDu4kw+piDmqiA7q1nMISTZMM3vkSBZwu6HvsaVantcgQdo/T7ZoHuk3N2rSh3WTYeLOHf9gHfWB774CbDhmEC15GnvBDfxavJbEIZDC3dZ1uCET/1i9hcGcPGd5m6mnohKLfZgmy49Ejg/ZHZeu8++ijFFe32H1k+FSrfVo2Gl3gYIfnRgMy6H27YRAfj37VvNI5w5AMmVvmuPmeoW9ulrJSNSZDX13Zm6AX6KUv53eU7SfDUAtZ928m+uF6vZX7DpAh3fJAltdrpncX+1vfeJAMq9y2zU8UodNuyQYcNSPDvOp9Occy9Nrvb5S7D5HhdPoVjf4KpvjcnNtkb04G2fY++TM16Ek7OU9PHCGDNHl6oasBve13bb/3UTKox2a/tm5D32/Qa8tiRQYV+XWG7TSmvOOxarh7jAw9gcYfjneip6hKK/KfIMOKjH2i7d/Q5WP0fOOsyXD2nshR6wGmeBAvqpa0IUOGXJtb1yh6crrH3wxbMgQ4XnM7/RPdV8xPUfU0GR7qb7Tom0VPt2wzeXuGDOdeNAs7LKE7aF88tfcsGe66PywfZ0v737Nzde3rzxHxGeOh78mOTrtnddrcngzJUwG5i9zoX4szDrZfIIP9+YaFQAF0I+4dynYOZBBssVTgEUWXufSLddiRDNPsqlqP16Nzvun7fMWZDNuHLypLyzD9vmZ5wPwlMvw0WLU8dzP6huuHVG67EHE4KfJOayv67vzqVvYrZJAszLCs24GuZ2R77oEb0e9sPpGtdqGHioqNCHsQeVTovX0A0H+x/j6X5EmG2huNnt766IOdI22bvMmwzaclnt0E/cKdhW05V8kwciE8Jf4Q+ih14x21a2TwWs57b4sl+oOXxxreXSeDxqqzJz5ao/+gJS3fd5OoP7JRHJZn0Nfv+qXS4Eu8F39O4og9el+m2SHzW8T9X3sn4O+M7seab/flNhnkuBqcRd3Q8wSFL54OIPLUpf9lnjf6l/fXTw8EEvV2v/Dn/TfRKeROk8tBZODRda7v80cXUNRQ+B1MvNfERK7fXfT78cEL10PI8GQ6++q6CPTG2foPbGHEXDGUJ1PyCL1X+K9XSDjRL86tKjwah36+RUKSL4IMm+dKN00/Rb/7c9P7mPtkKNlBvfHoOfqshZCpxEMirtLOvdmeiT5fN9iaGknUVYY7mZKLbiXzxEAhigych3goXkXozuoKua+jydD5AEpEy9DFSJEcGrFkMFwncKu8Ap30ue1Y+WPi/p2jFO1qmN535HucXjwZdvxtfruqEb2Do6ap7gmRv4bNW3La0GtnPKbNEsnA8i4x8CgdfcJ3jJv2lLiHRqMPS53od9yUxE4+I+al/vautF507WfKor3JRNxeOdVzaBD9KG2S42Iqcc+MbzULY+gpvS4TY8/JoHzz0sP0X+jXI1/WuKeRoaCCW9dinmmf+bEP5tPJ4MfSTGL9hz7Du+ugXwYZBmJKjV8vT//fV3mFLy5/RQbujo7npzjQA16HPQ3NIvJlo24fLx+6f+iO7Xw5xJxQOrXqoyB6SnPA2+hcMpRNLfC6r0PnNfTasS6PmLvWOi7KSqIHl7MnP8sng7GDYdOXTej7FzRYNhWSIXZ7kn+EErpSHYv5qyIyXCi8Ib5PFT1o4lSMSjEZTDaPxP/RQN+rbt5UVEKGnMbfS3na6NRzlJldb8nwkZqu76iHrrP3+5qKMjJ4XOVykzZGXx19XVK/nAwx/coBXaboJtLxUvXviflkv5jPYwv03HwtIbMKMiy1fTlicQLdht1mkfyRDIUpVwX4T6OvHfpDOVZFhuc9rCXN59HFRNc866om9pN1a889J3S9k0k2djVkuCfN8vrAFfRJzyTugVoyrDsdtozbG33FZt7XTnVEHvls2d18A335zpF9k/VkWOs/dfyBP/qPcyqNHo1EHwnrPXnkLrr2lQ79+SYiHlI49YUj0DetH8q72UKG/jbvNZ2P0PcpWfKxtZFBd4Pqp+Q49AbrDWeCSGRwj9C3uZiE7uO85zkHhQwvNpS3b32B/lii9EsElQwNLanac5norMoBrAJ0MoQ8Xh708TXTfZ5MWBfLIOqA63BB2Bv09+dZ5de1k0Fi/+lay3fo19lzNyV1kGFc8EqFVCW6OWuKsHQXGfQr5JImatHbuOh/0rqJPFW9f7a8CX3dwP5WhR4yuJnnc4eT0Wkmf2JzvpFh+bKEROsvTPc58+2w6nfiu0zaSkDpKzpH8t+loj4yHHkwfnmpDz1q5cEEzR9k4Je69LplmCneeuqUygfIYJvTRU+ZRP80eCVXd4gMvqtM+r1m0Kvoe2Sqh4l6uPiBYbLIlF/26mGGo2T4cMwwX5LtJdaHAwf66seI76y+kStzq9BHdG9tNZ0g5s/zJcKt3OiLC83ObZNkUEssTn0pgP59u1qCxU8yPDCeFvQXRe95mltO/0V838n6XD65Af3Nz11tJ34T36fDh7I1ZNGL+8i0rhkyWO4PIgkooldt9m4+PUeGiVnp7kkVdCMvyZLv88T36bMdrc3q6Kq+LY/sF4h6NV75Mns3Ou/vm2eGFslwNeTLhXt70X/c2yzp/JfoU2sDuC8boVsuNJPG/5HhvEp9nJkpesCEo9cVVgrwXSvlUrVAlxL/wznNRgGDMGt7wRPobqo+j7yWU+Dcn7dp86fQ4Xsf1/wKClw60dvUfR69u1vz6vVVFFil1dlR7YSuRvWgLrFT4Lp8QeurK+j5npEytzgo8ObVlaxH3ujmLvfPs3FRwHi/lMuNm+iJrhcfB3JT4FRQi4h9APpzObHylbwUaOwOyDgUgs6zN5l8l48CLC3Gkrvvo/9z/tPBsYYCy1sUb8lHo2sclaKFC1Ag4siOGsEn6HNpgpU8ghT41nTp17Jk9LU8bUkPhCgw+Kp31a809H61wy5rRCggfSxx2fcs9ON1kSpRohQo0nz5g5yP3ucW+V1wHQUOFXLnfSpBD+k8cDdWnAL75Rl2Je/Rybnv14uup0D4T/7FV9VMcRvdlxa/gQKJzp9uPKtnigeNso3iksS5Rhf7olvRL+yG8EQpCqz7VLkjnMa0/oFLQ+tlKHBbX9I5oJMp3nj37nwmS4HUUqmw673oV5XeXpWUo8CIQ9tDj0H0USNSZoo8BWyfaNy6PI6+nTO4WVqBAtH3T1k6TKPXi1C/P1ekQH7gkbXn/6C/Eyodlt1CAa8iibdnWDL+94SMrd/TlCmw4fhnw1Mr0UM91ZrkVCgQlWpTbsOFvnt97cuX2yig8mlAzGYNer/BN8/N2ynwa9j1tI0I+qHIWzsyd1DgpM6yCNv16M0pyX0K6hTw6X+ZeloGXVtsT9ArDQqMszknn1VA54+3FlXSpEB7kWXwBRV0zaqxxKxdFJgQdT/qrI6+V31aYMtuCjgbNnC67UbXeOR0PVubAmuPOGRe3Yte5nOIsgUooGhqte2WEfqvu0nrc3SJdzdIenbXFP3xqaMnlPdS4IGBydxDC/SpJ5eDc/QowH/0/M6EE+h1HQMvlPUpcNVz9nT6afSb78qLcgwokJbO6VZgjz7XPvpG2YgCXIOvnCqc0bPJVzJyjIl339p7sNkNPXGv8T1lEwq8di8R6bqKfrzKxS7nAAXM03Y2jvqiz09+k1c2pcBAkfPFpUD0zfYJPdlmRH24ZzvGE4YuVP4kZMthCiitFbGWfIgedL9TOtucAruUU/N2xKJXeVnnKllQYLps9ZRRIno6p6BS1lEKQPxRUdtUpvv8sSJe0YqobykPFDwy0MOTFOYzjxF5mlktE5aL/q/Jz1jhBAXKAxdWpRYxOTtbWIY1EQ//dChlZejSA9nl8jYUOD7wOIT6Ef3hX79v6bYUqGcTkJ+sRV/s85jZdJoCrkLFuZzN6MlbQxZfnKHA396IjfIUpjh3L/0lc5YCMbLPr+m3o5/Yx9aZeo6oq7Es78/2oGeony6SsqdAwUT2sP8PpvftavFLvkCBqq9FLKmj6GcbD2ptdCDyQkiKpfon0/rRtIGnjhSI010c7J9Df15vf0fCmdjPctMy9n/oI0t/BBIuUUBhlaS30orM//1Uxf1HYi4UYBvyFT/MiV6WIrk8zpUCeoZXXnnxo5uqZZ8XdqPAtTJWmURh9NFVW0ui3SmQ0qEZVC2BvpSRuiDgSdTzXdKkUWl018xVKpFeFGg+X7tKSAH9U6zVUb6rFPg+tFVOVwV9JcsDpwgfou+Y2qs4qaM3uma7cV2ngKGQh3TsbnQt7yzH0BtEfa6yY6ney7TOs5Aj7L4UcGjTqp0yQnf03rMlyI8Cl9+yX91ohq4a0jq77DYFOn6R1hw6ynQ/p7cX3PanwLuJ1Nhb1uiDd+1P/QugQKj4nZX5Z9Dlwu0Xb9yhgFi/36m+C+i3preG/gmiQMbrxBThy+jXTT6wX71LAVLvQIuJB/o2Mf6rv0OI+txxYeDWNfT9Q5IMtzAKmMxuGnpzC/2P7rj8ZDgxJ0QoU8eCmN7lpZvjpQgK/JwJfiV7Dz395auE4fsU8L6929n2EXpLTfSHCw8psP7GUeHHcejdIVvIfZHEubZ1ZpGS0Ou8Xehnoigw9+OLEk8aOr/QscbuaApk9ljF7s9C/zz0Pc86lgIXbU6NBuejB3vz3mU8psCXx/OKNSXoV/XopkfjKTBWv9VyxQd0izaNlaQnFJiR43TS/4Ru/XxLjmkiBR72RDkGNaDbQZFBw1MKVErSLD63McWhTEOL4TMKtK5lbOZkoF+hORlXJ1Pg7NfUIdNu9A7qowLdVKJupO6NetSHzvsceMqfU0Dfr3zzl2H0xx+djmumEXXvnkTmhin0pJy10UXpRD72OwlemEVvGlb/uC2DAiJxeU65S0z5+7u5KzuTmPdKZ7Pmlr3639cd/DK8OYvoO4cNv+zlQD/haj74IpsCtQ4Zk/f40Jc61WmSuRQoXin364sQugdfQGHiawqs3FzXs0kCvSJ4e4BoPgUamh6Xekij23/Ytze6gOj7409vVm1GD95eMMVXRAG7W31KAiroVaeuPwx/Q9QBT7fas+rohz/ESbKXUIDy7vDBot3ok40cKQGlFPgDYe9X6TE5W8Oaf28psNQvt87aGF2xg+Z+7R3RFx6qnM01Q+dtUfj0u5yoS9I5Mcst0cOtqlZe+UCBbZ4ZRSdOoiuPJewcrSDi7ZRiRZ4dOit74YkLlRS4Ubz7zWoH9IwNKy71VlFA88CPWDsXpnO9Cnex+USBmmGV8+880QslDe0YNRRgPym7XvgG+oZ5Ff0jnykgfr6x0s0f3TbdQKS5jvi+qFU+0nIX/XtyYIdRAwUCdI+2KN1Hf2QzEFHVSIEDoUYaYdHov02dVHWaKdB7gj9s+An6mmGumpIWCkSeK6nfn4J+J+Wz8fY2CkweNZh59RLdZyS+PJtEgU9fqrh5ctGTNW5JylMoIBCryX+lCH3PvIdnCpUCQttes1DL0FVSPEvF6RTQMVTp1KxE/5TqOxbDoICuZ2Vq0mf06cvh/PztFJgyd7Fa2YKu7vFENqyDyEcPmL1ERY+Ufrl5RRcFVjhqBdA60J+P5kj4dRNzYIXTAvSi39PJYp3/SvTZf4xTmYPo/4ITqG7fKKCcHfZacAJdR+NG3GgvkS/7w8du/0YXemt40L6PmOePfBeaWEDvv7kw+bWfAnl745Rs2LJwnxOPAo8PEP303hvlRnb0hOvc7ORBYv9pehK7edGXRZy7fmCYAox5o7ksQfRTkdHdn0aI+vCr+cN6cXTSr4RtMEaB3Lku94dS6HwS3h4l4xS45+y7dsVmdLOrG9O3TVLgUXZJss9WdHuX6LrMKWLeEIpeN6GGnuFE6pD+RfSpv+v8z+9GX0EjdyVME/2o5Ci1cy/6hFBMi+AMsc+o/YJHjdEvxQjmRcxS4EMn295mM/S170z9V81ToPBLkLWRJfrKCW29W38o0NfcfabqJPpU9NdfcwsUUF1ccxTOogsKq0RdWaJAUqKi2jsHdF2GoszwXwpYjKiw7XJFr9NpSbVjoUKsqOK7Ei/0xFwhgQ5WKpCPSZ3deRN9+/2/V44so0IYdf1sSQD6/T0BFQ3LqeBYIn91Vyj6foXkv3orqbBlk9GPdw/Q/bIslN6tosJ7uLNHNxZ9UCHeeMdqKqyVGgypTkQvX3XZMouDCiY/rn4wfo7e+rzRXIaLCo+TobclE933bL5OAjcV9p/f99MyDz3n+TqxtbxUqNW5P9FdjN77eXl/GB8VwjXk2y+8RxdScUxatoYKO44K509Vo49pGhlfFyDOG3fO+0YD+m39J70/11JhmlVEgZ3EdD95p5wchaiQeVezPoqBbtH58Ps3YSp4S7dZSX1FT5FWNjkuSgWb6h+k1/3oX/pUUlrFqOB63F9LdxR96EbMoKE4FVobXz1s/YluYmS9/oMEFYqXO1HPzKPzp17XU99ABYfvtSun/6E3D/6yyt5IhT2G9bLBK7P/93yPCmsZKSJOOK6pruNGd03uMn0iTYUfy74qvRZAN68z3LZGljjvClZBAzF0JYMFtpBNxL11Dwx3bkQ/e2W66p8cEQ/HnuR4yKEPp2718NpMBWMt6dPcyuh66hkCYwpUyDcK/pe2A/32LZuUs0pUyIKW8D1a6HvajTa2b6HCRDsbe9ce9ML4C/cObSXO27b5io8RepzIm6EaFSo4UU0+C5mh78pUUdNWpYJqjCt30VF0rxdkl4LtxLu8T9K1OMm0/qkncZvVqDA/3XNm2g7955bA/CR1KmR0al2JdkAvPhf6VnAnFSzWllzWcEVffywzL0yTCl/VbU60e6E3WffEsmpRQapDdYfvTfTZSvlL3rupwBaluygViG7f47dtTJsKByfv5X8ORb+8srfPDqgwdk3KyuUh+mSQSTBDlwq5b1cMCz1GP1dQImK6lwqXVMHpw1P0uk7ZuCo9KkydprVffMF0D0fus2vqU4H7I2mnQBa6/sUp+xwDKgTUad15n4+u4GhUKG1EBc4xkQrHUvS0lw8mHxtT4Xz8lSHhCvQgt5p1PCZU2Ln7IGtNDbqi0A+1gANUUNIsWOXZhO7/bURn7iAV2n9lLspQ0NmlKOqXzKhAqtfqobaj18g8keg9RIUnIpfyg7+h26lr/7I0p0LadgP3XYPoLKlvihuOUMH2crPU+Di6zZtlTrpHqSAjzP0x5TfT+mUbuYssqaB7dbXpsUX0tX9XP918jArj9Po6nmU5eJ+1ZRJPjxP14eqxHTWr0RPsVMPXWFPheWzpPV8+9GMijkNBJ6nQ5vKbqiGMzqJ6Sm3Bhgot6gLcPyXQdea4XV1OEXV+vdj2bBl0kwK3uO+nqfDJgt/IQRF9NDMkz8qOCjrLWA5sUkX322RW0nCWWMdsTKdvJ/qA84dsOE/83rpnYyqgP62mPSywp8JHvZ4pOwP0TPeH5+QuUsFFajpP+iD6iw8jsk8ciPjhkj7TfwS9aOwblceJuGcBj3/pJ9Af7nX18HemgpneeLjTGfRAtkesM5eo8PfF49UqF9FtrxjcdHAh6gZc8/x9Gf0eKWig05UKPfzxrWWe6OwOh3QPuVHBUuSfWMANdDPvpOAqdyo0m7y2MAlADwDXcnVPou88K7y5NhTdaNmHbxleVGhaKRDT/QCdtOzutPhVKkQ6khIzYtHHbtf+vu9D/L5gPsrzKfrPcp9+tutU0Ku5f33vC/RPs/FVnjeoEHP7yWG+LPTvl+UeDN6kwt6P0sJf89EP260zsfajQtLJrY05peiv+Nynm25R4cumT65+FehCJQrhuv5E3RsfWX64Ft0iRmdNQQAVuvwy70o3o6cNZgbJ3qGC5rNVizMUprgacRqKDaLCozUcpxo60O933tzFcZcKR6NL8p71oofNdPrcCKFCaq/otNcQ+kXPO+njoVSIeL1jk+kk+v4o96rT4VQYes1rtGkWnX4vtYl0j8jfh3nH/y0x3UMCf82++0T9Wdho/WV5Lvad+dKsNw+I+STq3IFCTvSG7se35SOJ+rzkv+XBGnTRO5n74h9RgUry/+ssij4lM/KbM5oKQjmOH/ZvRD85Yxl9M4YKZ6X3uG6WQ1+2bVhqIpYKq6q4+Fcro/NzJT89HUeFdaKU5KEd6GbvvdlJ8VS4lp0o1aCFzunreFovgQp1y1wfZe9FV77tmVaYSAUiTKYfGKMrLEW1yyZRgTJhpO95CH2l3KfFmGdUqPQ+GXTCimn/29m42VOI+p8WWaxri37I0ojTJ5UK2kNTDLnz6E+qHs0OPadC8qtbw7zO6GE5PW0n0oh4PqI/OueGPm+sGN+QToWlPQbdvT7oBz+7HNqdQYXj1JCKpltM61hnTmdlEvOJvdCj0mD03Wr0IIksKvCa/DyaFoHuH/RzZUQ2FQ6QpVdHRaNz35rz+JtDxLlJXpZ/ArqEeX/r5ddE/Cw903VLRQ9WKhL7mkeFUMX5artM9Dydc+ZmBVTQEqrQtMhj2mfxuPeHQirMzi08NShBT/l0KGzrG6LPchRMa35A54gNCk8qpsJ6v5FdyjXozsfDr/OWUmFz4Ksr0k3oK3bZHvN7SwXPffOPRSnoqefnpCbKqLDmR/trvg70JHarDttyom+GWpay96KPm3rdbn5P1I1DbvmsQ+hc58wFdSqocNdsR8LCBDqv+0BM9kei/iSmeM3MoMembVspUUW84/6qPT+X0Lvkt5wNr6YCh2qzrzfb6/89Q5qWvfCJmNPmRI/OrEA3q5D/4VhLBa8/tameq9E/yklytX8m9q/R4fibC93Nv2yDcT2RLzmWmZ586J5zvzaWNBD155i23YwA+qW8Gl65JmJuV4mM9BZGD6ZsHY1upkK90jGteTH0kLuKb5a3EvvcG3ny+nr0ml9Fl9zbiHOd05tZkkRX2N2wppdEBUX/y+y3ZdHlgi+8OEQhPEzo0fLN6M3zQbIfqFTY7qQTc1cJ/V2J7KMtdCoYcA3xc6ugrx+E8ScMKmhYiq6M3I5e/KpNnaOdyAtlkpuwBjpjE935agcVBH2EjiXuQr9848CDH51UqBIaKpLWQe9v3pJs0U30ox8HwjP3oB/W9U6q/EoFiZp9Hdv00ff/lAlT+Ubcz31ySqkROsvK7eee9hL7X7fYu+cA+raERAWuPiqw6n58Um+Grk493e3TT9x/m2zTkSPoo61X/QZ+UCE6Rcm7yxKdlPON++ggFeT8GXEXTqBP3osNqRyiAr+OktpPG/Te8JifW0eo8CZZwfjmGXR6XbtR4igxz3jRqOzn0R/ZnQ7nGKfCC3/VjqiL6Bc9pMu9J6iQHbbnuKQz+m7xjR19k1QYOLLyUI4LeriX+Y/DP6nw+knABy13dPukN93vfxHxIPkuvc4L3TbfqFrxNxUMn+WzH7uGXlC/PPbxDFGfSQ69P26ib1w2YLlijgqirn07vG6js3qNLHObp0LCFlmWlXfQtbR5nnb/ocKp98r7Yu6iW7iZyJosEnWMvIxVLhzdVDkprniJCnSxdPWS+0xxFbJiQfofMVfsWddv/AhdJvGa8QMWGlRO2XF1xqDP+P0JXGSlwS7yrazL8eivjW9nX1xGg+ow70+sT5n2yc9ZRVlOgx/vja2ik9HFxh590l1Jgz7uP2c2v2B6l1/CRVmraNAmHNZf/hK9SvPRQ5HVNLjm8++beRZT/FNZrQM5aODVdNxqMBd9e8cp/klOGkhkJej7FqB7nMootOamQfir+qy1xeiKXu37anlokHjqR/irt+gdqhMfVfloMH38Z//e9+hJL78rPuWnwc/NU8XtH9Hlhwv8VwvQoPhkP5v7J/Sy1SdrPNbSQPFmWw1nHVOdEWXMfBWkwZhAybIXjeg9m2XWmgjT4Fz6k1KdVvT2A7vXvxGhQV6Z7yCDjJ4eKS4oKUaDN6SzD9zp6K6cH+fC1tFAyPlgHk8H+kCNbN2MOA2UV+iYZHajW1MMgs6sp4G46E5bg16mOr93o0rjBhq83agz3NuPrr8xp0ZdkgYJkeYTfkPoGtdHjZOlaCD23fuSxBi68Bl6KacMDXQCX58rm0QX+uoo5CVLA3r/X8rxafTfrKmnejbRwMHz/Pu5WXQO2vXo/fI0UHv6Y+PjBXTdC1PFhZtpsKMucFHjH7rgx3816xVpIGWz9zCDLe9/fzqeUnlXiQZn30tu8FmJfu0PLfPnFhpsMpO1F+NAHxmP9Tu5lQaGLmab3nGjv6d+061RocHpGymnbPnRD5e8Ht+qSoOKto1rWAXRU5JYQuK20+DS50bt5yLoO6OaeJepEfssftlrKI6+/alAgLM6DU78fMMyugHd+FNzL1WDBjsb52MfSKNX8C0ogyYNUqLcX6rJoXsHR114uYsGsnGbVDsU0Du3xobz76YBv6yg2m1l9D+8/xKvadPg1O09eXKq6Oe2fH7yXYeoD9PZac1q6Gb3xu8c0KVBUtVJQS9N9Os7Lp8s2kMDbpVDSxLa6LpyehvW69GA6hNqW6OLfs/BoTloHw08u7k1Xfah9/3tdJjQp4FoXGe4iBG6xXDclJUhDZJ7545XmqBHKSecrzAi8nrq3DNnM3RG09dP8vtpYPxH6rTwEfS/dafXPDShQZyyWlylJfoFmXUm8wdosOV9osnlE+jC3RyuZ0xpcIBm6y1my/S+s4q368xosJh8Tbz2DLrSlWu+2w7ToNf41y6P80zxtv/nhThzGhyfridJOqDT/O9rs1rQwP7Tsr4WZ3RlUdN/F48S+diddNnXFX2RUyG71ZIGJaeS3bZ4oB85vsFw5zEij85zTHZ6o3/5u7kp6TgNAjm6foRfR2+b14dV1jS4cGGdlbYf+gpDl8TLJ4n4iazVHfdH7+lNHqDa0MD16ffUpCD0M3VfJLRP0SAj8cqtw6HoQjNrdJ+fpsGXp+60ZRHoiueMTTntiDqWM/LizUP0Ezw+Rm5naRBL7xh3iGaKz/FE5S/naOAvaZAnEYc+8a+ARdeeBusjlcbaEtDLdhW/T7tAg49KD1OCnqG7PE69yO1AgzM/Pdu0nqMX83v+dXck6tu3Tp+pdHTSU7lb7U7E/c/UPkl/xRRvGsVjupdokKqoqWGbyxQ/5A2G6ZeJfuetekCwgKk+ONiEc7sS520tam98g94/4VTufoUGQ/KfegPfMv3exrD9ixsNWK/YndN+j34yfaQXPIg6H3v/1MxHpryosqC/8CT6S5ApJfcT+o4032JObxr0b06udKhDv7HvfMCVqzTguBCiINPEVGcil2vRfWjwV2o119dWdKOAY927r9OAS1fqQjwF/TOHzaWUGzRY95SmZclAf76OZ3CVLw0KxeRD13Sim7+8YHrJjwYsD0XMW76id6Scf0a6RYPPXzIehX9H/7a4rFvDn4i3hi7T/QNM9TxdZ1ViALFPzTcB7CNM8fmIX5ztDg2EZ3eo1o6js+dfFb8QRIO5NusTQT/RRX66sDcGE3kRq7SoP8O0vt6vryohRN9ckyG88g96TfTflOhQGqzhIGfVLKEfoN87/CeMBt/2ZZUFs+bjPDmTMGJ7jwYDd9T3Ga9Av/RN7kpVBA14ItwNOFejX7+j0Cv3gOiP685XNnGhf255phP+kIjbEa6SB3zoPNlBQZORRF974yxnsRY9ajWj1CKKBnI7gvhERNA12h4wSqKJOilq7d65Dt19IqtXPJYGe0XHzJI3oB8xk2fcekzUw+/aafbS6H4df0v64oj9y5p5Kcmhb/NVumP0hAZKoVIVPxXQtSWzd2clEPWtrDSgVBl9bc6Nr7xPifVPCX28pYpewB17yT2JBiGiu64aqaMXyc/9oD0j+kL4pgy+XegHBp6Y7EqhAZ9l15Ev2uh623yfJKbSYPva01dT9qDPjsXTWF7Q4Ovp10LO+ujnl48vnk2jwT9yi7K6MbqQtTtPbToNRJZVVLAcRN/J2MSpkEHMybf9GxsOod85s/xXeCYNOL+KmMdaoFt1rqqZeEXMz5mBh88eQ0/csiXQPJu4B9fa+q0n0b9oum4pyiHqUklv+eIpdOX+xo/Cr4l9cjAU6s+imwvAnmt5NKgfecn/+AL6g/TKV535xHt1WbrZO6G3BR5hhUIaHLP9fkDNhSl+7o3tSS6iAWPULHm5O/pYavilZcU00Fr21IXihR6aoRR4voQ4l2hL8fNr6G/86u7UltLAKK3Px9MX3WTVKbfNZUTdEO8pMvBnivONQ8Zh72iwebTSSSSIKa6yznKNldNgMDDiyXAIumZIfanpBxocMd+nX34PXSxW1Px1BZHv5f0XHzxEzy08QOWvpMGwssfKc9HozhWn9NyriHtbPSWxMw7d8rFpAqWaBu9f2+RyJaILign2qNXQwDug7O23Z+jfpHJ5YmtpoPGVU7f4Ofr9+yLyc59pULr+ENx7iR62+6DS8XoamMSHlJzNQu9cYbzubQPRv9JLX+16jS5Zu+q3WBMNXOK/iawpZHpf6zul15tpsLuKjWW4GH0+sfxiZwsNQl3Xn6ksY7rni1ls2m002DeutvvJB/SF6IPBiSQadN7Z/9CjCn37v4SZJTIxR/nanDatRU++GXPIlkqDZeKuGfIN6PzDatHvaTRYlRzgvKwFfUrcu3o9gwbtB+IyuklMdWn8aLfvFxrcOJl/+i0NPUStube7nbhnjtaHMe3ofPUdbTqdxPdjxK/d7t3oSf7XXj3tIvJ0w3q7Q73oj9XSXP5208By/BCr8g+m+yk5sd62h/j9lntiXMPo53ofFZd/I+rVakr28Bg6S/BBLYnvNKDlbCqrm2K6h+sBGTf6aOBsELQ34zd6dtQ2ts5+Yk6b+aUXMo++Pu2IvtYAMVd/d/3gsIQeE9DvFj9IzOdb/xbuZy3434Hle+j8EA2yZhNklFagT40b3js2QgOBE6Y8PKvROaT4rhWPEt8vrgJuk1zokU4ah4XGaVBzeMyMzIe+MbF0jecEMV8JdKW/WYs+ERz5njxJfP/WfveJF0H/vFhuofqTBiv82Gp8xdHXNWpQH/yiwQaDXeFnN6IPf1qAiWkayMuHNxrJoJNKV0QfnCHm/y3zQcry6DzehymvZon52dq/bK0Suntj+9LqeeI+38g7LmxFd7ybyH/xDw2qdMYie7ejs/hE89YsEPXqZ6tavQY61en9rPQSEYeNFPN8LfTNymvrb/8l6kDt/FA8oLeFRwZ9/UeD3C+6CwF66AYWalu0WenwbCYz6JIhevihufJ4Njps5dMMtzJBtzpI3zm3jA62gqOce83QewSbE4+uoEPaz+oVW44w3YMnYzR/JR2mH1b7iFihH1H7KcvHTocX7SMXlluj128UNr60mg7ReVqtk7boEqx6lvUcdGCZL8zvskOPT7pyUI6LDpkPjvE22KPLfnqqHMhNh6Kjcj9KHNH37KqZ7+GhwycpKY30y0zxVvs9R5uPDn0txmwxbujbt/86GM9PhyjVJMM7XuhCBpO0mTV0+CAhvcrzGnpiDc34yFo61J+h6Z73ZTrv9ZS0XEE6XG8snT7qj26rYDbGKUwHkc3NUoZB6L5xDImLInQw0F3bsDMUXSBi185qUTpIMsLHFCKYvMl198Z1xHsV7gyViETnW+etcEOcDmejRZL5YtB1dxuzMSTosHHXFtXl8egXp3urtm+gg4qtt/ZcIvrvlbou9zfSofntbOVoMvqg+snlI5J0SFyZW/ntBXqfwfYAA2niXX4n7qZnoEvPV4wky9DBVfOTSlM2+k1eVp0lWTq03ZJNqspDtzeZ8DkmRwexqx+C3xYx5fWl4KQCeSIe6h4N55Wi12h8yuFRoEOKWGptRjn6Nofn6Q6KdAjmH1+f8hFdpHJjaLUSHWLNPCfjP6H/ZVW33KBM3KeH5u6oOiYf+Mp5bSsdVolrsUU0oTNUxV5RVOiw59u1vXfb0L8+69m+VZUOF6znF/2p6JyTymkh2+lgv6F4m+8X9KEuFra+HXS496Gwx6cLPVvO3FBHnQ6PG36u9vrGVK9C13s91qBDauuVbLd+9Gcfz0T83EmHzcdVG1yG0HeHCj84sIsOPGM7zl4aQ49N0rqepkXEOf81T6cpprr3rs6MRZvYvzEbm+NvpnhLLOc+oUOHiLXN7A7z6GF/1hCvRIcrk10hF5fQL9z/pM+9hw4dVqp3LrIW/u82gm0f7PfS4V9lw5+LK9DL9LdJV+gRdSY9c9hhNfqVL99cRPXpMOrdYuHEjb46pPuFmwEdxp/v0rzEj/6aS/pTgyEd+BNGY10E0RXFXzXJGNPB+nO/q5soOuOy24eb+4l3j9xU7SmBXlXmEU8zocORU7kPfSTR75Rm2249SIfeyFtfbsqi260X5bprSgebe/FP/DejKz/LT+kxo0Nc1hI9eAu6/bSnlOZhom6YZEbc24Yu22ob9tCcqBtVzz48UkMXGbzYNXSEiAeHb47xmuhxk/dF9h6lw8WHzg+StdEfJ7bsjrekg2/YXpWMPejPU6T3/7SiA/3F2f15+uhD+cG6+4/T4aNia3epMfrO27MbUk7Q4fv5u2OVB9HnPlwenLemg1Z8uFfjYfQdkkNxh23osIGry4d2FD3S0m5Hhi0dYNFntuc4+nF+WjHLaaKevDw7MWKD7symK3PsDB1iDsSfmT2Dbt7+xCfXjg60jetNl9mjKxn3F688R4fz1hOFvI7oxX+Fv9qcJ+5/K0+M+GV0q8ytE4X2dJBtvja12Q2dY0FukPMike/n1Wo1vNAvJi3W2TkQfWqDjrDBNfQ3+hlRpY508N4U/c3CF73+yWYjPmc6ZCXt2nTOH32DmU+f/SU6XMtR7ncPQidxRTmUX6aDv/uV9YGhTO9425Mu4EqHAq5lpKgI9ObjosqOV+hwMPr7vxeR6I57rl+qcKNDj6zAy+IYdJa+mGghDzqYUB7W18Uz7XP0QpqzJx0qC05d6HyKnrhyOKnSiw5llBu+Eyno4x0i/iJX6cCuP8S7LB2dLjR54LIPsQ7vi3XCr9BXnXFiqb5GBzPt18mKuUy/PxuUIHqDDg5kjhTdAvRdn3dLutykAxe1UNyyGL1WPTSi2pcOgXtz+J3L0HOsHPtEbxH1R3T2lv8H9DoSQ8rlNh0KLe47xlWhh5i1GVf708Fn1Kv5dS3TPj3NjosG0kGHlp31uQF9esj08OU7dKhavmPFtxamPLJo2FYVRAehi6sZ82R0QeuKP8J36XB/bIusAAOdnLI5yzmEDrV+yaNKnejibWwGH0Pp8HLlOWXDHqb6E2r4WTCcDicveA6f6UPf4/FL1fEeUScDqRtvDqLnbmMLeh9B9H3twLbHo0zr2Lt8XPOADi4utxcLJ9E73qj32z+kQ+N0Y3LbNPpk9ZGpt5F0YHth/3F8Dj1+e2U/TxQd+i1MrbmWmPb/4malXTTRv2gBLgqsRf/7wbLbwW9iiPicX/nXaAV6rnD9Do7HdGgIoa+8uBr9jLV5vU0cUVcP/w4J5kaXlhMyyounwxuR08Hp/OhW6/hzlicQ80aK8L9aQXQWhs6iVSIRV3nrpgZF0asX41VfPaUDY5mzDcd69GF5ycN/k4i5yJJ9n5IU+rGFRqvDyXTIPjP53HQTevSaeIPnKcTvu6RvXVFAp3AFSsym0sH5Rgo1ShmdGhzUafyCqAOTTi9KVNEFJBMDEtKI/jLoN9Gpjh7lWbVmIp0OczzdBaxa6PxSv0P2ZNAhgDvo5yZA76zcMvQokw58od6vDuihD/66qPLjFR3+yOV3uxmikw+lnNqZTdxDsFp4nAk6yYPqFZpDBz9D1sIKM/SqP0uenbl0WGAVtBw8gi53U9hGOY8Oj8xc3fiOoYvHSCjdyqdDy6c1qzVPol/4yvm9rYDoU7MLonan0S/97LotXUSHYx6KL8LOoe+8eJ/d8w0dPtc9yyy6iH7lyzrvmmI6KPpbK/Q4o1/s9m0SLqWDsKy1DOcVdF7eQk6Ht8T/aiQ9VvdEn2Ar3va2jA5btOSC7XzQTQ8HAGc5HXJyf05E3ESff7BW7eR7Otjxs5LLbqO7HrNfk/2BDn+/HFYZusN0n9oe9KUKIg5v9a0SDkXvpWkGmlbSofxqyXH9CPTlpfkiSVVEndzRJOsRib7Xpz1qopoOTySlnFNj0A2ysuaghg7nst4okePR7X7I7HtQS4cw7dALy5LQA8t0vHs+00FNK0F8Ryr6/g+/H6rUE+dlHzU5n47eF6gfdauBDl4rfX7HvELXStrs29pIB73IvaJ1ueifnyWabWwm4nalUfFCAXr+ukR21xbiO/Hd3RblEvTKZOmMD63E/Mm+3M7uHbp9tdI2XhIdtmuXXo6pQM9ZW/jMlkwH+cz03/XV6Ieki2azKXTQTmie+fcZPeWWovoSlQ5Xbba4qTUx+bs1Jw/Q6cCqVnXBqQ19zt7e4QmDmAMv3KcnU9G7eaRsh78Q9U3t4UfGF3QjvT27NDuI+a27VpavG70i8sNScCcdqp+qLjfqRb8R9vglrYsOQTmtJ2/9YIq3stpdsl/poLsveWvpMHpZrlGhew8dLB+l3vg5zpTvv4UEK7/RYX8jTU/pF9P6Yso2fN/pQBbfdcd+Fn1ZZki4bR/x/ZvbqJu8gH5HRTY1q58OStn3vDr/oedpLj7784PIi103Noksf4PxcIgjyGiQDuI+sYcs2NHXs5qYxwzRwTOke/oBFzoLtXRF3zAdqMGHBJr50OmW5s+2jdJhdcToK05B9Pt8fFJ+Y3SYz897byyKXh42Hto4TocSjiSTuxLoCYeH2kUn6XAzrcC8VhKdY2SB/8IUHV5EjZNXbkKP6JFUKfxJ1PMe0xYDBXTTt5ZqrNN02PWIvC9YGV2SJUbS9Dcd1uRf3/FZFf2qZsd0/Azxfapr8HS1BrrLmGTuwCxRH7RV/U200FtSzh/aMU98j6Tr9NwD9JmvyYxbf4g5xNuxpFUPfUGBZNi0QMyfaYUca43Qw1f/TBRdooORnDjd6gA6J+tS+/m/dJgYTZJIOITuFjP+N+8fMc/363T3WKA7mlau/svCgIKlWZFNx9GNst0XjNkY0CRR3+Rkg/5b/S85ehkD1JUKF/POoAu72Dz6tpwBu7mKXsydRx9ghGtuWcmAnU8bPoMjuuVscM3VVQwo/DBzPvgy+siB/buq2RlgbKJ2s8UN/Yd1SxQvBwNyRIJ4RLzRxdLW0E5wMqB0cUD0zHV0gWzevy+4GGBZdzwp0w99ceoj1xQ3AyIOtj+dDkBP/i3DtpuXAcFHL4rAXfQ7O3d0B/ExwDuTjSs0HL1q18izNn4GlKx56UN9gC53Q3+/uAAD3hy2OiMZzZQXN3Ta7dcyYFqOt+pSHPqn0rZDeYIMEDjS/PRtIlNeFPzJXhBiQM29R9OrUtDLBgun9EUYQL5vU300jWmftIV1D0QZIMmjyPM8kylP/9QrtYsx4PnbP20/c9C1yRIyMuIMcNjXwLu3AP1R5wTrZQkGPLB6UvuwGD3+0e6a4vUMME10mP9Whp7i8c+VdSMDJst2vFCtQM9Z2M5mIsmAesuF+oBqdPvnVJ8oKeJdeN45Uj+jiw5/pXdJM4DrlmegXBNTvhuaisvJEu9isEnkWhtTvmiIG7puYoDzfKNsE5Up39X0j5XKEb7lYvbGdvTxkmozts0MsPKYyfHoRt+tHbPFRIEBf096KdT1oqtrFU09UiTO6/5jw/oB9HpFiYROJQZo6urfdx9BfxBcpySrzIBa44dX6ybQK2qKUi9tJc4lUNexYRrd8EwXyxsVBiiKj5R4zaEXNGvt+7uNAea9v3mbF5neK6jxksF2BpR9HeiRZS3+3xv+ht6M2MGAorAPir4r0Edz3NxpasQ7nrg+SVuN3srlZ7ZegwF55aJbVXjQT0S84rffyQBf6biBkDXoghm/SrM1GeA5OyvaJ4S+jWRu9Ps/tusDLsfvAfw+yRYJUcqeZSQz60RklKgQKikjM5HVQFZIyihkJ2VmREgZZZdZyX3dZlYpkl1GPffzfD/P7/T6P4/Xy+v9/X7cct3nOudc5+qtEnoHut3s31j20GXXk/v2VYk360Z8jGwqe3yLQQ1X99Oso9oDQn60lD3N/J5Ten+V8N6iE2vfTvYLLZyX6Vlq+rzTFic6yF4y9UPw+AEq0bqy6ZCaXWS/Ptdn6f6BKjH04JL707uXG4f472NyrTTr/cCOBzctZP8VNb1+p8EqcXnU+uGt+8uudzLtwgJrldj7d6jm3VJ2Q1t9q6QhKvG36HHcG2vZQ/Ktz1QcphnPhZ22WdnIvuuPU/Whw1Ui5MGo4uiRshsXDRocaqMScy37ZGmPln1rr+qeWbYq0bvqx/bTxsneefB+L0M7lXjg5l5yy0X2O2squ0waqRL1V0UONHGX/c2Mbp1jR2n2mdgtlTdOLTf+k9rlFdirxLjS4QOLZsheTXkW1MVRJTolXi129JLdZ8CImotHq4SH9td2F+aXu/5qCxcmj1GJt9WfZxgtlj1v58gbFZ1UYnfR8p8r/GUf76n6bT1OJVY8U23NXS57tLqGfsh4lfArfHd0xGrZj7q/1n80QSUWDIrpc3ad7F+mT/jXwEVz/SX1rRtvlP2ci9edCa6aedi6a9rKzbI/OWzgv2/i//3v/ruVHyH72wtOem/dVGJjFx/huFP2RsUtw9q5q4Ru181myXvLXf8j3y+zPVQi/+OYXa2jZe9/crTF6cma7nlledgh2cv+nJz2Y4pKfDiS/rzkmOxhzdf6WkxTieMJSxKmnJJ9xfrH85Z6avaf4OtVHp6VvfGebSNTpqvErjZxj/okym5/44Ze5Zkq0X+lmf7hS7InzZyYNHSWSkSG22bVT5X9+A/nYSGzNfutfVnNlTdlr3c/MfnBHJVocMT60uc02Xc6+zSoN1cl5q1vluf6oNz1V17tONZbJUqeBYfczSy3jsxzF0XOU4meG1Yd7aOSfeHwHcufzVeJ/UuqDTz2TPbp8VvmNF2gEvFBDR0b58j++OEjS4+Fmv1z64nnG97JPq+mfcnBRZp17Z+e8/eD7JG3am7PXawSvg1mu3kVyu4x85+Bia9KxPQMHfvqa7lxHtd85Ww/lah0tvMth1+yz/w5/8EJf5W4ON7u9I0/snc8/KnilwCVeP89t75FhQtynT4KMei6TCV22v3+clxbdt1sG/2Fy1XiYYdVQ5tXl/1WozbF5wJVwt8hsNE2HdmD/upfKV6huf7ln91r6sl+/43BrN6rNPuP9/1WK/RlTzcz+eu/WiWOvTR0/2Uou9Ngq/mX1mieU6sy9L2ayl66ctK90iDNPlnn2+B3LWX/MXypjuU6lbjS1a/QpZ3sbUrDzVes1zwv9k7VfdxB9tb/DvRNDVaJKr/jj43oIrvF4QOmlUJUYv4nt6s3u8vu4BZWZrVRJRoaz7Sz7C27/sopF1aHqkRTkwdjLvaX/dFc47E3wjTzJD4ku5uV7CFrE1SVN6vEAfv9D08Okf1z23aW1ltUos6+qoNMbWV3PekdErRV8706XzU7NEr2t/7Bl26Ga/aTiFvbWo6RfVCBd2aVbSqRPbHxov3jZX8/oel96+2a+9Uw8b7xRNk/tt0cF7RDJVRD9u7f5SF7s5Mp825GavalhbcLDDxlrzjiuGGVXSrRr0X3UztmyZ7kant48G6VuHQv51NDb9nb99tjuGaPShR+Sz+4fYHsL6x3zru+V3OO0vmS1dBX9jrZ/eMq7decwzfbLduxVPZTg4PuDYxSiX9FOfsNVso+vmhWxooDmvPk7sN9dwXJPsmsIOlqtEq0qLjf3niD7BfdytaXHVSJNWtvvNwXVu77qqL79o9VCett+rktwmX/8DUzM+CQZv/ftMkzdofsHapvGJl0WCWOZpu5m+yR/bDP9ZMlR1Riyo3vmSeiys3/YP/vPY9pnqfnlCtdY2W/GXvMeNFxlbCt+LxV4lHZ3ZuOMj0bpxKPi/9oiZOyt7WdYvz1hOb95VPXCTfOyD589ZtvnU+pxNaOK01sL8ie3OTOiTmnVcJT661PZnK5cZ6va3csXiXcz4zt4Zwi+5ass4/yzqjEqtVP5r25Ibvl7tMWbRJUYt+5yW1mp8me1kQraPI5zXlmbbHjj/uyh52OOrf/vEoEddn6e1mm7DFHNqQ/v6D5vh/NDKuryu0DzknXDS9q3hc+3o/f+kz2ZUYdDjglqURFj5nXm+TI/look8OTVUInoMLIo+9kzzK4XP3RJZUwmhrq0CO/3Hr593irzhWVeDGo7oPUQtlthZHW8Kua/VAEXR/5rdw87xIyOihFJbYtzjd//kv2462bb0hNVQnzGn0MZ/2Vfe/c7JjSa5rzjN5Cv5IKifL8MOnQwd43VMLtSITjusqyW9mErV10UyUOv46MaVhD9iaB6+3ib2nm4cNl3odqy35g1OaST7c18ydwwNme9WTfr3NgXfs0lehS9sL7dkPZY6ue/zMlXXNedRwdO95I9sLQdIf9dzXnw1V7Rxc0k33mN/XGp/c062LTRf+lrWW/vPrVcf0HKvFsSUxjXRPZLbc8OWn/UCU69nLpFt1J9r8zk7aFPNLsVzef3ujRVfZ417XutzJUIsqg+cO0nrI/vtBDVytLJa61aO/o1lf24LTrB/o+1uxjD4vsvlvKHveqg8HibM17UJ2F19YPlj196Eyf0080+9jN+FNNh8tuMmrJ6QKVSox4Fqt/zk72FCuHzNZqlUjpYvfD1lH2Pt7fVG5PNc/T2Bjbt06yFzd3So18plnv9Y8aBbjIXjtmSVjmc818Gztuan132YcMdrTUeakSW0Rcm7ip5e6v3ess61ea81h0zCTrmbLfq9F8RGCOSkwe2b/eKy/Zu92scSTxtUp00F3Q389H9p9pO/O+vlGJR3FWr+svkX3K5Ls1O7xTifWfjpSeDJA9SNmpN/W95ry0OXqrzQrZGy6u+G9Pruac5tQxKneN7CFr/qRl56lE439WbVcHy17dbnVAnXzNc9PibevmYbLPM9hed2iBSny7WmPP5a2yjzbrHBz4UXP+sT4b4rJD9hL1kPcXPqnEAN/n33/vlt3D/VnrL4UqkVtp1ePIqHLrpWbe0PZFKvEnNKqTRazs2s2mjXT/ohnnK90rKEdlT3tvbxH5VbOP9ew73Pek7NNjY6s8+qYSsyJO1zI8W+76Y9zOV/uhEicWbBmSdEH21iZLbCx/as4Dc57+drkk+zK/gtTFvzTnsfrr25SlyG727KzxyWLN+9Sf7WlRN2WPCn/g/L5EJfJOa+cOSpe9KK/HUuM/KhGdku6f90D2r8bvV4z+q7nvZz6sC8kqNx+WqGZs+Kd5T6/pXLuLIvvvPtW7p5aqhJONUa3s57L3j/N5U1ymWY9f2q/0fy376Tr1FnauqIh5voHezXNlT419/WGqliL6TjB6cqtA9vUJzwfsrqSIvdV+J3gVyZ67rCwgQ1sRj3800NH/IbvnYKtd1aoo4nPY7GeXSmR3tDm4u39VRRwZ8LvltFLZj2YYr1hQTRGB85Pe1K508X+9hfGxoUerK+J80PHGF6rKbjZ7yLeXNRQx9OWddPdasn+vUBjYoJYi8pU632vWlX2M0c4vw3UUUf+RX/i5BrLnl1oPDqytiJLGVePcDWWv8OGzf0IdzfXUPt1Pp6nshw03ReTrKpr3tQXWiS1l35HZYktTPUW8bD/y1tR2so9zjJ43up4iuuf3uarXUXY9pVa39fUVYbaiZ5erXWQ/Hz1BudRAEZPM+xt69Sh3nV/Wun/VV4ROf1t/oz6y19LadLdNI0X0yXEdnS5k76rnZehsoIioMXNj/AbJ3nmSsU2YoSLiHwV4mQyTPbR95MRrjRURsW7lSfUI2Tcdezb6l5Ei2h0NmL7BQfbuLd90NG2iiIqTPSP7OpXr9w59mNhUETOf9R9Y6Cz7n3et121ppoipfcs89k+S/eKRcdVvNlfEvpiDfxymym4/us+ckhaKCO5pWqvKTNk9mt8506GVZn7WDgtP9JJ9sO2/Z26tNZ8feDd8jo/sOrqZeVvaKOLbhxe1WiyRPejQ4Cc32iriuP61v9kBsvcbMepwcTvNuD1ZMCVkhexz+xQ6m5ooYnqvIquBQbI3PW741dVUEcMGdNlVHCy7lvJw5qYOihj4q+vMk2Gyr/tT82ZqR0X8c/5+alq47O9sb1X60UkR2XO85jaJlL20cmnLtmaa9dV2b0z2Htn93Y61Gd9FESdXLHcMOyB74ua0mhvMNZ+fW9t36CHZH2aNzUzuqgiHN9b6Wsdl3zPJZmlhN0UU3mllmnxK9mOzo6s366EIg9oHzy9KkH2E2YQl9j0V8WHb1aQuF2UPeT3zzspeiug0dFHPT5dlb3/x4d8zFooYrZVicuRauXX0KUjvXW9FBB3YHTH1tuzWZ9bV0O+rCG+tykta3Cu3ri0fvbXup1lfxT8evXwk+/a7zlGL+ysiwWlW9J5s2XOCW1oeFopw/Dbpo/NT2Z+faZmistTsD0EZxw1fyX5ynlOr6gM196Vx8lvlrexOzS/OsLBSRO7aRuGRH8qNv01qJ+1Birja48C46x/L3ccXtiEzNH3m6rv3xxfK/qB0cUnZcq3A//f/fy/XqvCvgtb/899/yrQq1Kcb1D050b5mVt0rpRV0V1VsUTTc0LfhX82f3+CzupX4oLbmdyXdCv/HryLxfxb6lf+zVP7f3x1l+f9rRdTCSqiNlbEKVsVqWB1rYE2shTpYG+ugLtZFPayH9bEB6mNDbIQGaIiN0QiNsQk2xWbYHFtgS2yFrbENtsV22B5N0BQ7YEfshJ3RDLugOXbFbtgde2BP7IUW2Bv7YF/sh/1RoCUOwIFohYNwMFrjEByKw3A42qAtjkA7HImj0B4d0BFH4xgci044DsfjBHRGF3TFieiGk9AdPXAyTsGpOA09cTrOwJk4C2fjHPTCueiN83A++uACXIiLcDEuQV/0Q38MwKW4DJdjIK7AlbgKV+MaDMK1uA7XYzBuwBDciKEYhptwM27BrRiOEbgNt+MOjMSduAt34x7ci/twP0bhAYzGgxiDsXgID+MRPIrH8DjG4Qk8iafwNMbjGTyLCXgOz+MFTMSLmITJeAkv4xW8iimYitfwOt7Am3gLb+MdTMN0vIv38D4+wIf4CDMwE7PwMWbjE1Shgmp8is/wOb7Al/gKc/A1vsG3+A7fYy7m4QfMxwL8iJ+wED9jEX7Br/gNv+MP/Im/sBhL8Df+wb/4D0uxDCvY/2dF1MJKqI2VsQpWxWpYHWtgTayFOlgb66Au1kU9rIf1sQHqY0NshAZoiI3RCI2xCTbFZtgcW2BLbIWtsQ22xXbYHk3QFDtgR+yEndEMu6A5dsVu2B17YE/shRbYG/tgX+yH/VGgJQ7AgWiFg3AwWuMQHIrDcDjaoC2OQDsciaPQHh3QEUfjGByLTjgOx+MEdEYXdMWJ6IaT0B09cDJOwak4DT1xOs7AmTgLZ+Mc9MK56I3zcD764AJciItwMS5BX/RDfwzApbgMl2MgrsCVuApX4xoMwrW4DtdjMG7AENyIoRiGm3AzbsGtGI4RuA234w6MxJ24C3fjHtyL+3A/RuEBjMaDGIOxeAgP4xE8isfwOMbhCTyJp/A0xuMZPIsJeA7P4wVMxIuYhMl4CS/jFbyKKZiK1/A63sCbeAtv4x1Mw3S8i/fwPj7Ah/gIMzATs/AxZuMTVKGCanyKz/A5vsCX+Apz8DW+wbf4Dt9jLubhB8zHAvyIn7AQP2MRfsGv+A2/4w/8ib+wGEvwN/7Bv/gPS7EMKzj8Z0XUwkqojZWxClbFalgda2BNrIU6WBvroC7WRT2sh/WxAepjQ2yEBmiIjdEIjbEJNsVm2BxbYEtsha2xDbbFdtgeTdAUO2BH7ISd0Qy7oDl2xW7YHXtgT+yFFtgb+2Bf7If9UaAlDsCBaIWDcDBa4xAcisNwONqgLY5AOxyJo9AeHdARR+MYHItOOA7H4wR0Rhd0xYnohpPQHT1wMk7BqTgNPXE6zsCZOAtn4xz0wrnojfNwPvrgAlyIi3AxLkFf9EN/DMCluAyXYyCuwJW4ClfjGgzCtbgO12MwbsAQ3IihGIabcDNuwa0YjhG4DbfjDozEnbgLd+Me3Iv7cD9G4QGMxoMYg7F4CA/jETyKx/A4xuEJPImn8DTG4xk8iwl4Ds/jBUzEi5iEyXgJL+MVvIopmIrX8DrewJt4C2/jHUzDdLyL9/A+PsCH+AgzMBOz8DFm4xNUoYJqfIrP8Dm+wJf4CnPwNb7Bt/gO32Mu5uEHzMcC/IifsBA/YxF+wa/4Db/jD/yJv7AYS/A3/sG/+A9LsQwrOP5nRdTCSqiNlbEKVsVqWB1rYE2shTpYG+ugLtZFPayH9bEB6mNDbIQGaIiN0QiNsQk2xWbYHFtgS2yFrbENtsV22B5N0BQ7YEfshJ3RDLugOXbFbtgde2BP7IUW2Bv7YF/sh/1RoCUOwIFohYNwMFrjEByKw3A42qAtjkA7HImj0B4d0BFH4xgci044DsfjBHRGF3TFieiGk9AdPXAyTsGpOA09cTrOwJk4C2fjHPTCueiN83A++uACXIiLcDEuQV/0Q38MwKW4DJdjIK7AlbgKV+MaDMK1uA7XYzBuwBDciKEYhptwM27BrRiOEbgNt+MOjMSduAt34x7ci/twP0bhAYzGgxiDsXgID+MRPIrH8DjG4Qk8iafwNMbjGTyLCXgOz+MFTMSLmITJeAkv4xW8iimYitfwOt7Am3gLb+MdTMN0vIv38D4+wIf4CDMwE7PwMWbjE1Shgmp8is/wOb7Al/gKc/A1vsG3+A7fYy7m4QfMxwL8iJ+wED9jEX7Br/gNv+MP/Im/sBhL8Df+wb/4D0uxDCuM/s+KqIWVUBsrYxWsitWwOtbAmlgLdbA21kFdrIt6WA/rYwPUx4bYCA3QEBujERpjE2yKzbA5tsCW2ApbYxtsi+2wPZqgKXbAjtgJO6MZdkFz7IrdsDv2wJ7YCy2wN/bBvtgP+6NASxyAA9EKB+FgtMYhOBSH4XC0QVscgXY4EkehPTqgI47GMTgWnXAcjscJ6Iwu6IoT0Q0noTt64GScglNxGnridJyBM3EWzsY56IVz0Rvn4Xz0wQW4EBfhYlyCvuiH/hiAS3EZLsdAXIErcRWuxjUYhGtxHa7HYNyAIbgRQzEMN+Fm3IJbMRwjcBtuxx0YiTtxF+7GPbgX9+F+jMIDGI0HMQZj8RAexiN4FI/hcYzDE3gST+FpjMczeBYT8ByexwuYiBcxCZPxEl7GK3gVUzAVr+F1vIE38RbexjuYhul4F+/hfXyAD/ERZmAmZuFjzMYnqEIF1fgUn+FzfIEv8RXm4Gt8g2/xHb7HXMzDD5iPBfgRP2EhfsYi/IJf8Rt+xx/4E39hMZbgb/yDf/EflmIZVhjznxVRCyuhNlbGKlgVq2F1rIE1sRbqYG2sg7pYF/WwHtbHBqiPDbERGqAhNkYjNMYm2BSbYXNsgS2xFbbGNtgW22F7NEFT7IAdsRN2RjPsgubYFbthd+yBPbEXWmBv7IN9sR/2R4GWOAAHohUOwsFojUNwKA7D4WiDtjgC7XAkjkJ7dEBHHI1jcCw64TgcjxPQGV3QFSeiG05Cd/TAyTgFp+I09MTpOANn4iycjXPQC+eiN87D+eiDC3AhLsLFuAR90Q/9MQCX4jJcjoG4AlfiKlyNazAI1+I6XI/BuAFDcCOGYhhuws24BbdiOEbgNtyOOzASd+Iu3I17cC/uw/0YhQcwGg9iDMbiITyMR/AoHsPjGIcn8CSewtMYj2fwLCbgOTyPFzARL2ISJuMlvIxX8CqmYCpew+t4A2/iLbyNdzAN0/Eu3sP7+AAf4iPMwEzMwseYjU9QhQqq8Sk+w+f4Al/iK8zB1/gG3+I7fI+5mIcfMB8L8CN+wkL8jEX4Bb/iN/yOP/An/sJiLMHf+Af/4j8sxTKsMPY/K6IWVkJtrIxVsCpWw+pYA2tiLdTB2lgHdbEu6mE9rI8NUB8bYiM0QENsjEZojE2wKTbD5tgCW2IrbI1tsC22w/ZogqbYATtiJ+yMZtgFzbErdsPu2AN7Yi+0wN7YB/tiP+yPAi1xAA5EKxyEg9Eah+BQHIbD0QZtcQTa4UgchfbogI44GsfgWHTCcTgeJ6AzuqArTkQ3nITu6IGTcQpOxWnoidNxBs7EWTgb56AXzkVvnIfz0QcX4EJchItxCfqiH/pjAC7FZbgcA3EFrsRVuBrXYBCuxXW4HoNxA4bgRgzFMNyEm3ELbsVwjMBtuB13YCTuxF24G/fgXtyH+zEKD2A0HsQYjMVDeBiP4FE8hscxDk/gSTyFpzEez+BZTMBzeB4vYCJexCRMxkt4Ga/gVUzBVLyG1/EG3sRbeBvvYBqm4128h/fxAT7ER5iBmZiFjzEbn6AKFVTjU3yGz/EFvsRXmIOv8Q2+xXf4HnMxDz9gPhbgR/yEhfgZi/ALfsVv+B1/4E/8hcVYgr/xD/7Ff1iKZVjB6T8rohZWQm2sjFWwKlbD6lgDa2It1MHaWAd1sS7qYT2sjw1QHxtiIzRAQ2yMRmiMTbApNsPm2AJbYitsjW2wLbbD9miCptgBO2In7Ixm2AXNsSt2w+7YA3tiL7TA3tgH+2I/7I8CLXEADkQrHISD0RqH4FAchsPRBm1xBNrhSByF9uiAjjgax+BYdMJxOB4noDO6oCtORDechO7ogZNxCk7FaeiJ03EGzsRZOBvnoBfORW+ch/PRBxfgQlyEi3EJ+qIf+mMALsVluBwDcQWuxFW4GtdgEK7Fdbgeg3EDhuBGDMUw3ISbcQtuxXCMwG24HXdgJO7EXbgb9+Be3If7MQoPYDQexBiMxUN4GI/gUTyGxzEOT+BJPIWnMR7P4FlMwHN4Hi9gIl7EJEzGS3gZr+BVTMFUvIbX8QbexFt4G+9gGqbjXbyH9/EBPsRHmIGZmIWPMRufoAoVVONTfIbP8QW+xFeYg6/xDb7Fd/geczEPP2A+FuBH/ISF+BmL8At+xW/4HX/gT/yFxViCv/EP/sV/WIplWGHcf1ZELayE2lgZq2BVrIbVsQbWxFqog7WxDupiXdTDelgfG6A+NsRGaICG2BiN0BibYFNshs2xBbbEVtga22BbbIft0QRNsQN2xE7YGc2wC5pjV+yG3bEH9sReaIG9sQ/2xX7YHwVa4gAciFY4CAejNQ7BoTgMh6MN2uIItMOROArt0QEdcTSOwbHohONwPE5AZ3RBV5yIbjgJ3dEDJ+MUnIrT0BOn4wycibNwNs5BL5yL3jgP56MPLsCFuAgX4xL0RT/0xwBcistwOQbiClyJq3A1rsEgXIvrcD0G4wYMwY0YimG4CTfjFtyK4RiB23A77sBI3Im7cDfuwb24D/djFB7AaDyIMRiLh/AwHsGjeAyPYxyewJN4Ck9jPJ7Bs5iA5/A8XsBEvIhJmIyX8DJewauYgql4Da/jDbyJt/A23sE0TMe7eA/v4wN8iI8wAzMxCx9jNj5BFSqoxqf4DJ/jC3yJrzAHX+MbfIvv8D3mYh5+wHwswI/4CQvxMxbhF/yK3/A7/sCf+AuLsQR/4x/8i/+wFMuwwvj/rIhaWAm1sTJWwapYDatjDayJtVAHa2Md1MW6qIf1sD42QH1siI3QAA2xMRqhMTbBptgMm2MLbImtsDW2wbbYDtujCZpiB+yInbAzmmEXNMeu2A27Yw/sib3QAntjH+yL/bA/CrTEATgQrXAQDkZrHIJDcRgORxu0xRFohyNxFNqjAzriaByDY9EJx+F4nIDO6IKuOBHdcBK6owdOxik4FaehJ07HGTgTZ+FsnINeOBe9cR7ORx9cgAtxES7GJeiLfuiPAbgUl+FyDMQVuBJX4Wpcg0G4FtfhegzGDRiCGzEUw3ATbsYtuBXDMQK34XbcgZG4E3fhbtyDe3Ef7scoPIDReBBjMBYP4WE8gkfxGB7HODyBJ/EUnsZ4PINnMQHP4Xm8gIl4EZMwGS/hZbyCVzEFU/EaXscbeBNv4W28g2mYjnfxHt7HB/gQH2EGZmIWPsZsfIIqVFCNT/EZPscX+BJfYQ6+xjf4Ft/he8zFPPyA+ViAH/ETFuJnLMIv+BW/4Xf8gT/xFxZjCf7GP/gX/2EplmGFCf9ZEbWwEmpjZayCVbEaVscaWBNroQ7Wxjqoi3VRD+thfWyA+tgQG6EBGmJjNEJjbIJNsRk2xxbYEltha2yDbbEdtkcTNMUO2BE7YWc0wy5ojl2xG3bHHtgTe6EF9sY+2Bf7YX8UaIkDcCBa4SAcjNY4BIfiMByONmiLI9AOR+IotEcHdMTROAbHohOOw/E4AZ3RBV1xIrrhJHRHD5yMU3AqTkNPnI4zcCbOwtk4B71wLnrjPJyPPrgAF+IiXIxL0Bf90B8DcCkuw+UYiCtwJa7C1bgGg3AtrsP1GIwbMAQ3YiiG4SbcjFtwK4ZjBG7D7bgDI3En7sLduAf34j7cj1F4AKPxIMZgLB7Cw3gEj+IxPI5xeAJP4ik8jfF4Bs9iAp7D83gBE/EiJmEyXsLLeAWvYgqm4jW8jjfwJt7C23gH0zAd7+I9vI8P8CE+wgzMxCx8jNn4BFWooBqf4jN8ji/wJb7CHHyNb/AtvsP3mIt5+AHzsQA/4icsxM9YhF/wK37D7/gDf+IvLMYS/I1/8C/+w1IswwrO/1kRtbASamNlrIJVsRpWxxpYE2uhDtbGOqiLdVEP62F9bID62BAboQEaYmM0QmNsgk2xGTbHFtgSW2FrbINtsR22RxM0xQ7YETthZzTDLmiOXbEbdsce2BN7oQX2xj7YF/thfxRoiQNwIFrhIByM1jgEh+IwHI42aIsj0A5H4ii0Rwd0xNE4BseiE47D8TgBndEFXXEiuuEkdEcPnIxTcCpOQ0+cjjNwJs7C2TgHvXAueuM8nI8+uAAX4iJcjEvQF/3QHwNwKS7D5RiIK3AlrsLVuAaDcC2uw/UYjBswBDdiKIbhJtyMW3ArhmMEbsPtuAMjcSfuwt24B/fiPtyPUXgAo/EgxmAsHsLDeASP4jE8jnF4Ak/iKTyN8XgGz2ICnsPzeAET8SImYTJewst4Ba9iCqbiNbyON/Am3sLbeAfTMB3v4j28jw/wIT7CDMzELHyM2fgEVaigGp/iM3yOL/AlvsIcfI1v8C2+w/eYi3n4AfOxAD/iJyzEz1iEX/ArfsPv+AN/4i8sxhL8jX/wL/7DUizDCi7/WRG1sBJqY2WsglWxGlbHGlgTa6EO1sY6qIt1UQ/rYX1sgPrYEBuhARpiYzRCY2yCTbEZNscW2BJbYWtsg22xHbZHEzTFDtgRO2FnNMMuaI5dsRt2xx7YE3uhBfbGPtgX+2F/FGiJA3AgWuEgHIzWOASH4jAcjjZoiyPQDkfiKLRHB3TE0TgGx6ITjsPxOAGd0QVdcSK64SR0Rw+cjFNwKk5DT5yOM3AmzsLZOAe9cC564zycjz64ABfiIlyMS9AX/dAfA3ApLsPlGIgrcCWuwtW4BoNwLa7D9RiMGzAEN2IohuEm3IxbcCuGYwRuw+24AyNxJ+7C3bgH9+I+3I9ReACj8SDGYCwewsN4BI/iMTyOcXgCT+IpPI3xeAbPYgKew/N4ARPxIiZhMl7Cy3gFr2IKpuI1vI438Cbewtt4B9MwHe/iPbyPD/AhPsIMzMQsfIzZ+ARVqKAan+IzfI4v8CW+whx8jW/wLb7D95iLefgB87EAP+InLMTPWIRf8Ct+w+/4A3/iLyzGEvyNf/Av/sNSLMMKrv9ZEbWwEmpjZayCVbEaVscaWBNroQ7Wxjqoi3VRD+thfWyA+tgQG6EBGmJjNEJjbIJNsRk2xxbYEltha2yDbbEdtkcTNMUO2BE7YWc0wy5ojl2xG3bHHtgTe6EF9sY+2Bf7YX8UaIkDcCBa4SAcjNY4BIfiMByONmiLI9AOR+IotEcHdMTROAbHohOOw/E4AZ3RBV1xIrrhJHRHD5yMU3AqTkNPnI4zcCbOwtk4B71wLnrjPJyPPrgAF+IiXIxL0Bf90B8DcCkuw+UYiCtwJa7C1bgGg3AtrsP1GIwbMAQ3YiiG4SbcjFtwK4ZjBG7D7bgDI3En7sLduAf34j7cj1F4AKPxIMZgLB7Cw3gEj+IxPI5xeAJP4ik8jfF4Bs9iAp7D83gBE/EiJmEyXsLLeAWvYgqm4jW8jjfwJt7C23gH0zAd7+I9vI8P8CE+wgzMxCx8jNn4BFWooBqf4jN8ji/wJb7CHHyNb/AtvsP3mIt5+AHzsQA/4icsxM9YhF/wK37D7/gDf+IvLMYS/I1/8C/+w1IswwoT/7MiamEl1MbKWAWrYjWsjjWwJtZCHayNdVAX66Ie1sP62AD1sSE2QgM0xMZohMbYBJtiM2yOLbAltsLW2AbbYjtsjyZoih2wI3bCzmiGXdAcu2I37I49sCf2QgvsjX2wL/bD/ijQEgfgQLTCQTgYrXEIDsVhOBxt0BZHoB2OxFFojw7oiKNxDI5FJxyH43ECOqMLuuJEdMNJ6I4eOBmn4FSchp44HWfgTJyFs3EOeuFc9MZ5OB99cAEuxEW4GJegL/qhPwbgUlyGyzEQV+BKXIWrcQ0G4Vpch+sxGDdgCG7EUAzDTbgZt+BWDMcI3IbbcQdG4k7chbtxD+7Ffbgfo/AARuNBjMFYPISH8QgexWN4HOPwBJ7EU3ga4/EMnsUEPIfn8QIm4kVMwmS8hJfxCl7FFEzFa3gdb+BNvIW38Q6mYTrexXt4Hx/gQ3yEGZiJWfgYs/EJqlBBNT7FZ/gcX+BLfIU5+Brf4Ft8h+8xF/PwA+ZjAX7ET1iIn7EIv+BX/Ibf8Qf+xF9YjCX4G//gX/yHpViGFdz+syJqYSXUxspYBatiNayONbAm1kIdrI11UBfroh7Ww/rYAPWxITZCAzTExmiExtgEm2IzbI4tsCW2wtbYBttiO2yPJmiKHbAjdsLOaIZd0By7Yjfsjj2wJ/ZCC+yNfbAv9sP+KNASB+BAtMJBOBitcQgOxWE4HG3QFkegHY7EUWiPDuiIo3EMjkUnHIfjcQI6owu64kR0w0nojh44GafgVJyGnjgdZ+BMnIWzcQ564Vz0xnk4H31wAS7ERbgYl6Av+qE/BuBSXIbLMRBX4EpchatxDQbhWlyH6zEYN2AIbsRQDMNNuBm34FYMxwjchttxB0biTtyFu3EP7sV9uB+j8ABG40GMwVg8hIfxCB7FY3gc4/AEnsRTeBrj8QyexQQ8h+fxAibiRUzCZLyEl/EKXsUUTMVreB1v4E28hbfxDqZhOt7Fe3gfH+BDfIQZmIlZ+Biz8QmqUEE1PsVn+Bxf4Et8hTn4Gt/gW3yH7zEX8/AD5mMBfsRPWIifsQi/4Ff8ht/xB/7EX1iMJfgb/+Bf/IelWIYVJv1/rKSr+bovbENmDFLEzNV3748vvCgq8GvU/Ccf7mu6XsbPQZ8/y171RcnOyMGKOOjXcLzhN9krljwMumOtiAEWB7ye/pJ98MT00SVDFLHBbN6f3X9l73AtV7v9MEX4Zc0rm1gx6X+9nknr7eOGKyL63ia/5lVkv71iZc11Noro9Pfi7Lc1ZJ9ypdT9vK0i3pk/f3yojuxuT3bsfD9CEZOGvU2YVV/2mVdGJjQYqYjxDS/VMjOQ/fucFvGDRini4cLR6u/Gslur62z2sVdEWv/tTS62kN3vr77DAQdF2I+YryxvK/uaez1+PHRUxPqlGTWsO8jeYYiXX9loRVw5fjC+VhfZa05Jzuk4VhFGiY8fZnaXPbxpM1MXJ0XUW+kwdVfvcp9ftGNs8DhFVM2r6j1ZyB48pdWUC+MVMf3u6yLTQbJX/JDq+H6CIl7WfZj7fajsnbV8Wtd3UUTxruTRl0fIfuJkV2WAqyJWj4zouc5B9vdfKs2dO1ERVnpDNjk4yd4o7fX73W6KqJF+eaKxi+xjej+wTJukuS/uHw7kTZJ91eDbAb/cFZF+5YzL2amyu36+u7PVZEXk368REjhT9nl9n+20n6KIxX5PzUbMld3Y/EfAsqmKSDqhZ2O4QPYd2foDjk1TRKPxe9S5S2TPNbPMfeKpiLrTp79MWCr7u6Hec7VnKMI0fdL41Stlt2wbq5jNVISJj89Qx7WyL3r8qrXrLEVctt94vEWI7E9dm45eP1sRN8bvWvN1U7n7mD5pSsIczbpYHpyZGlHuOk0Ojs3xUkTX80O2bd0p++m1eSY63pp5+OvKvSn7ZF9a1CGn1zxFOPV65dvjoOzTfbx9p8xXRMt5ETurHZH9bNP4b2E+ikjYdbfz0zjZfSp/GZm0QBH74udbnIiXfX33DqHvFypiz+kF51ecl/1oiseJuosV4RZx5ciY5HLrK3nrqb5LFFHBxVLXJEV2LYvL4Z6+muvUfptfekP2JJucCVv8FHE0dLtFVlq59VL9r9Ylf0V0+Dvk75EHsndap7MxN0ARliNfmwdmye7won5J3WWKWLDB8flYRfZJLesO6btcEeMS1v3p+EL2bXMrLp4WqIgzGV4bK7+RXfvZ23WbVihicv7XLc9zy62jlRcDLq5UhLu2Vq1zH2VXLV3h8HaVItTt1xeHfpF9/odeNWqvUcSPKQvHTf8pe3TOy+ieQYqwSDljOvCP7JtWLWzqvlazfm26zDeqkPy/bvKpOCB4nWbe6j41/aUtu3m/Gcln1iuiY9O94zKqy959643nz4IV0X2dZ3Fcbdm319HJqRyiCOHSqmZwPdmDMvvf7LRREb5xKZumNZK9QsUJG51CFdEvrMN6K2PZn1x07REYprlOfYfvzVrIHt1qWMrhTYqY5dQ0o7SN7FkejTs92qyI3jNXtHhuKnvMzsyAki2KmDht6rskM9mbfvWOax6uiCdTLhju6i670aavV4ZFKKJouWeqX2/ZB+x2OjtvmyK+Zbg9myBkryL2BUduV8RCv9DpfQbJfirq9sCUHYpoHP5qmtEw2e0KM57lRSriZH+rJ/9GyH5t5KVxurs092tndOJLB9kvfwk613O3IpRbhTqpTrInVuj8c+IeRdz9UDfroEu58Tx6tmHQXs3zq+XvmuvcZT/auGHjuH2KyIsMT5g1Tfa9q8dUyNqvCK/59x+OnCV7SP25t35HKaJ1VrhrN2/Zf/zx8G4erQiz3Cxng4Wyt51t9mfIQUXcyfJPL/WVve/2bE+vGEWsvbXo+Ntlsjc+NfpceKwicvLjS9NWye6bf+T9xUOKuD3LOPX0Otmz/R4XvzqsiCZLon/u2Ch74Lbsj1WOKqK+MN8duEX2TT7HUzscU0RJ0bn46dtl/zR0rJ/Dcc3+cKVJb/vdsg+3y6y3JE4RGc/GmveOkr11couwPScUYbvUdlfLWNnT060+pp5UhOrxxwU6x2Qfdb67ad4pzT5j1PrKr5Oy70j8ZaMTr4he61/7vj5b7vO119uZn1FE7dF6MfcSy43zlzxzp7OK+HcuyjLxsux3ovRL/BM06+LTUtuYa7K/dK4btf+cIsaYh9/efFt2XTeVyY3zirC+/ujssnuyVyuYue3DBUV45rSsOztD9q6Wt9/oXFRE4J3Fz8c/kT1z32c98yTNc/DSRYOhz2QvtHnVcmyyItaUKTd65Mg+dm2kvt+l/3u9pOa0fi/74QjDgj2XFeEa4DGnQYHstkkeUSlXFBE0IHZ65SLZffrNs3h3VRF2M/wzf3yX3dBj8JlqqZr72+dB3PuScuvR+0XtDtcUcU8r7NeTUtlvn+hjO/K6IuZUO3zqTqVLch1Nc5k1/4YiTuyoqiRVk/3fKzE74qYiFlXY5X1CR/ZAz3d2F25pxj905OIoPdn/DLKt9/S2Ih5t0vsU3lD2T9d9Ev/dUcTs8Y8erTOSfV9X5wHN0hWRYuHbemlz2Vu9qHhs4F3NvFr9K3deG9nH6Xn+nHJPEaWhFgaeprK/bBLccu19RVyI65DoYiZ7O8eZ5kceKCK15+VbDt1l9yyr0jL9oWa+rXk6aFhv2XctcPvx8ZEisgvnmVkK2Tdq+xypnamIKQ+8gnsOkj294gBhlqUI/5VXHDoPkz3uyu1z9o81564p9uvb2snuuKW6rk+25nySVbdTM0fZD93Xsgl/onm+dym0NBgn+5i0M54JKkWMepqZoucqu/K08bRsRREu3U6dquUh+9wJva1/qRWxfJ+3TlVP2ZvurV2t0TNFNFihpao4W/YLZduP9XquiKX9HXX/ecv+QPXYbPwLRezsP+pc8ULZU1bd2u77UhH9P7y/891P9njn2a8iXyni2iFtmy/LZQ9NvlbjYo5mPr/dZlG4WnbtSvf01a8VMaHmhoiC9bJvDlmr/fuN5n1n/f2JH0Jln3f+a6bBO0X8TbeLyN0q+9HXOmss3mu+r1VJr/c7ZK/hpWo4PlczbpOShr3bI3vzi/YhS/I06z185a23B2S3aef7evsHRRQ69I1/e0j2aEM7w/P5mvWim1393XHZdb8/6JpdoIjggf3uvzste99GpZ1+fFTEoEluZe/Pyb6j4EnN+oWKeJDTfk9ekuxOmS5p5p8189Yy+FD+Vdl9u4fMtC9SROyvOU0+3ZD94pKpH+d+0ZwnV6ZWLEqT/aB23sjQr4owcFto/+2B7MsG1Is4/k3zXllzgc6vLNmdd7xPSvuuGYeqx7v/UWSv6+N+Pe+H5rydVSOt7IXsPfuuOlHll2a9f1+apv1W9g5uNn6tihURlf+1R40PsusPTWw7sETzHOnrVEe3sNy8nXz3nNtvzfz33uGo/032Fs1Wt136RxHvdQ5WMi6W3b3gpe/Ov5rn427Ppq3+yX6328u48/8UcenQw1hTrcv/6xNmr7iWVaqI04l3I7tWlf2W1s2LX8oUMdRtWHGfWrJvnnF8a+2KajGmTbfUQXVlL9PrZmeqpRYle/x+jdCXveF8l/whldRi8dgaO5way37gd6vpU7TVYmfOw2j3ZrJ3ar7xVmBlteiTkWQ4u7XstZ3Dq+2pohbHki/8XWQi++gmvU0Tq6rFxB4Jw1Z2ll2Vs7Tz42pq0SF7b8XQbrKbG7s1+FJdLVp1m9xqp4XsqUOfP6tVUy1SPnw+Hdtf9oPPf61pV0stIjabHz1jJXvSmBO6g3TU4vStRjopQ2U/ZlphqVtttRjRfpP6/gjZ1eqPaX511KLumCC95w6ye7/0+R2hqxZJ+XlnC5xkH38uvObpumqxeUNMym8X2S2f25Wm66nFb+VIrxoeskdkRGW8r6cW13zfGBh6yh7UYOO6ig3UQlvXcqrJbNkrt9FtZqSv6VZxhn3myX5ztUlkj4ZqEXmxUW/bRbL3PfP026hGarG3qfc1V3/Z93RtaTbLQC28jKLOzQ2U/dW6CnZrDNXigEtkvZVrZE/u4TNiX2O1aLvRWh0eLPvRFL9OiUZqYeGyrcbhMNlfn9D/kmGsFk6+iw4mhcvuvto64mMTtZgXkXXoQaTsL29Xb1ylmWZeeeyt/3av7EqlSSubNlcL1/CU/OJo2ddeGpreq4VabHhpalL7iOx5y679sG+pFl1/p2W0PCH72UcPKs5qpRYvd4W8tTgj+0zLOZ9XtVaLnksnuo26ILvV2F2Xd7fRXOe4Tlael2Tvs2/83IS2aqHkfQhblip7rcOHKt5vpxaWBcsGb7tVbt6Wrl74vr1mvhk/nXziruxvO39JKzVRi2DxMf/mI9mN7xZUbNhBLbbU3a9+mS37Vo8Fhp07qsW9MW/NS57KfnVVcP0hnTTz/EHsN72ccuN2tWPRxM5qcdbqsVHH97I/OuYat8hMLVoucT0xpEB21ycGtqFd1MKuW8fDHkWyF2a7340xV4tCS/May37Ifr5/906XuqqFwfQJWZG/y6276K3zsrqpRbOFW6ucK5N9yq6AbQXd1eJxt/T9GdpX/tc9kj/v1uqpFj0Wfj7wubrst/Z8XG3QSy1uVi6spVNH9oAn8+3MLDTz7fzZFyb1ZW+htbLEurdaHHXu0miYgezNzhsEufbRjM9N+0TPJrKHb7L47tNXLS7drZQa1FJ2l/Y5VsH9NOMwqLt5bDvZ6xnrLtzfXy0ytLOq3+woe91qN9eeE2pRM/fe0Pfmss9eqxVw11Itut3Q/Vyll+w/et2wfz1ALd74Bf9t20/2fkk61YsHqsW/t+3mDRsoe1jc0yidQWpxNUexnTVE9q8nOxm1HKwZz1Ebwjbayt5xcpUlvazVok09U4tT9rJfne6RMGKIWtSpeWhY5ljZ8z0GZnkMVQtro09XfzrLHvM9JmvxMLVQmRbsNXQv11NCzoUMV4t2zcLe9J8m+0Svn75RNppxyLkZOnmW7P/2vW5yzlazLzkF7l/nLfusv6Ni0kaoxVSvI41OLJR9hMkAnZd2ajGkrtmvTD/ZtR/Fj/02Ui0WdNTq+3u57Md3xKyoaq8W20/r5DZbI7uRiUFoYwfNuttoWTwkWPZ3nXQCOjtqrvPMurlzw2R3sl9hYzVaLebUz7LdHi77kr4L/44doxYfY3Q3XYmUvebuvNCZYzXPBdcOFnl7y90vo6day5w0+6dZg6F1D8reZ5btuM3jND+nUWJy7yOyV+rRN+zgeLVYU6fK9iknZN9ievTQ+Qlq4V4nPzv0jOwOfyKi0pzV4mt9x4DEC+XW0ZiygOcualFg3Hnt20uy781/Z1Hkqha+7Wf/qnNN9t2zh6m03DTzoVfx3T63ZT+6sf24BpPUIt4mper0e7JnVAhKbOuuFts8Ew6FZ8j+2HfiXwsPtZi2KfV4yhPZO8XFN7OdrBYOd7P1Pz8rt45GrWwzcYpaxLR49c7otezzG93T8Z6qFh677xrY5Jab58lbsldM04ynVXC878dy/XtG4FZPzTmhVdVTh7/IvnHJxlox0zX7/PAueqqfsm+tkOp7bobm/HPzp6rq33L3y9r79q2ZamGU2UJrd4Wr/+vXtXcUq2apxYd/lYd3qyR7p5+9auTPVov3Hxtfv1tZ9mXZDv9+z1GLakedvadWk72Fx7tHNeeqRT3LZLvSGrL3GVu01shbc38vdnPbriP7IW+fph3nafbP1slRZrqyl8z12tFvvlrobhymn6Ynu3+9nK8jfNTicllm8uQGsps3Tu80cYFaTNngEPGvoeyPh3Sw9Vqo2X/6J+/bbij7kwnaNssWqUV++2rPuhjLPknf0TR0sVrccuk4/G5T2R37Nfq0Z4larM5rkT+thewDtzpuivNVi5wXL5Mqti43Ps+0G1zyU4tRDs5XdreVveYLU/+7/mpRNibke08T2aNdb6c+DdCci/7NcM7sIHtic3VB/lK16DWx4JtXZ9kXfpn0s2SZWuwJqXq5hrnsCeEur6sFqsXPvQmJsd1kr51192TDFWpRfOzj+4E9ZU9fcnpim5VqUTU9evBLC9kLbWt87rZKsy/Vz3js31d2k8ZPJlmt1jzH93ttbyRkLzrR8Kz9GrWYvN47OGGA7G5Z6XluQZqf/+H+CYdBso8c9610zlq1WK4O1C6yln1EtdCf/uvUYq7v0g0bh8m+J37Xg/Xr1cLqdZKVqa3s3doYBW8P1swT864d79jJftW8TpuYDZrzapB6iKe97AcOL4iOD9H00sNbK4+W/cs4W62rG9ViUmKE7sGxsi9usG3gvVDNeszefnngeNnPnLKfog5TC/PFsXtynGV/+m+ZZ+4mtfBPvhAXOFH27IfGtt83q8Xu2zcKm7qXmz+lHfUqbtV838vXJ12ZLPtc55OJOuGacU45XsltmuyTL0cNNIzQzIefC56UTi83z/9px7XZphazVtR/tneW7F2/qIrNt6vFr3Ur6wqvcuPpbdxG7NC8v3Q9t/ilt+y5ozO62USqhc+h2NqBPrJHLv7Vymmn5nvp2GQ3WyT7x/iQnx67ND9/4877KUtkf5iz+YjXbrXo7RDyy8Nf9ncvq/T326MWzqsb2msvk33F+oIza/Zq9oGRXZ/GBJbbH5JEzc371KL2i+yIIatkbzC60qDd+zXr3bUk8MMa2bt36THxUJRaNP+9efeGdbK3MVeNjz+gWac52/M6bpA9qceHHpei1aKzldbUhxtlX9R0xo9bB9XCeMTtuj6bZA+95xSREaMWYZ1zChtslT2/RYL+81i1aN140N8LEeX+Xa0VvrmHNPNkQJ6Fyw7ZQ+ySLn05rNlnMq8fKtspe+OPk9/8OaJ5HlV+NDh6T7nxueKXX/mY5rlWQ7v+kP2yNztRllHnuFq46I/RKzgge429X3cbxKnF+IlJlmExsmstchza8oRadGrUaV/Xw7IHGLd43OGkZr37HeyoOir7/oCJVj1OqcXzpAYfA+LKzduAalvFabV4Ut9X3fyU7AWVm10fGq8W6ks3im/Gl5uflWKy7c+oxdiir9azE8rNh0nb0yacVYtx739dr3tB9gvVfu2bnKA576nT55+/KHtE7rWxs89pzqvVp41yvST7kvx/hQvOq4XpiUuula6WG4eyg9OXXlCLJVXSdh5JlT22XuK1NYmafXjkyqqjbsg+pmHvCqEX1cL+zvPon7dkzyxp22RbklpcPJ05d0+a7OuOrTTem6wWfYc5zxp0T/aNxsNLYy6pRdTDWdsKHsgeN2DZ1bjLmnPg+r9FWzJkd63RdErCFc18SND27/1Y9lszO3xIvqoW6Tv8u71+Um5/Gxs78nqKWjRdNM44WC37vdSQ7empajF0y5bu5s9lb3Xw5dWMa5r5Y958qfplufVVtDdduf5/MWHf8Vi97wPAExlFRHYRSRoiSqKP26pIJSRFKZtkryQZESEzpQiZZZUiJURkS0aRc84jo4wQGYXwu3//fK/n3/freR3nXPd1XwN+z6TF6cB+8OHkxpJvH3rQDX7Bh7u+g0tlmQcP1eLnjDo7dQ6Bn1m23jdRh9//woKb7yhd30ntqpmpx3lYmpctOQ6eFFSksNjQg75o+6399At8MXPpNkNTDyo5Y5fk/Ru8dflFBUtzDxLYbX5h6yy4S1hnJ0dLD5riNTvR8ge8X9O8medjDxq/dOGK1wLdOe48nynYiude45OlYkvgGQffXxT91IPST+060LwCbup0d1GiDe/FsT/7PVdX/c8rGtuv7mzvQRFOt8rF1oBv0/HtkunAfV9xuraZBTxvMo5/f2cPmvxvx4rXWnDOMr6DSp/x79tFrbdy0D2/YM0h9KUHiWt9XPzICd7eeGmLZhfeE3/vqrzGTfccHqkfWt24/kvKvpTkBR8PM7lz4msPWqXY3tnODx6qsMir34PnSV+2bX5C4PlCLP5nCFxXj7ek79oM3nHIr8mY7EGt/zbqdYuCi6Zb/DWlcD3/0bU7WBzc7HQRswUN73FmHAfktoHznnWZs+7tQVfq85x6t4Obv3pYd/lbD4pzz/8SsRNc+KrsNce+HiRbxXxFSRr8XZbcetd+PL+xPZcZlgH3Ov74pscAvr+5qWL35MAF3a/3XB3sQTGrP6lp7gffvqOG+/r3HpTtsD/69wHwRq+ru/1+4O/SqWd/rAROXHmwPXAI75uLfiW6/4F/5d3OFDzcg45TBtHLCHzSX+x9yAiuh/rK9/PVwefLQs3CRvEeVy7dfP4wuMvX8/0RP/E84y8uw65Fd14/HmlGjeG+s8RV+fYYONesTmjMOD7Hh5M37E+Ah/HZ5MdN4HtU+tpe+BS42IVfL+N/4XOsuXSrSR88mxhMvD/Zg1pEvn30MQR/kHnU6sEU/r3MnsO7z4JvaeXnSvzdg4ovqo+QxuDrHQyTkqZ7kDz/xrd3LoD33MUtaQbfr3cPS1UugT89L3guZRbXz+qWoV/m4EeJlNupc3iOjchQf2wFvlPqbuLjP7j+hPI16duCe5jMRab97UG64sIBTPbgI3dqLdLne1BO3VPLVw7gi91MQhkLPSj1xxsPW2fwmjOFhRmLuG6MqxcJuYEziTfvzPyH96YTh7a0eIBLnTEMzlzqQbfdH73xuwquynmiKnO5Bx3+fMFfzgec7fJLWuZKD9rb5+7+3Rd88GYolbmKQMNre+IT/Ony7VpzeSYDgb5+CBrUuUl3Xg5+fpmrCbTr1pVLK8HgD30ei2cyEqitMpTtZSj42xq57AwmAoX8/NRrHQ7+yk6eI2MNgSqvHxoQigTvCk8/nc5MoIaf73lao8GFTtz0TWMhUNZzE5ebceCbPrWHPGYl0B7N5cUD98AlFWPdUtkINCKa9nIsga5OPq1STVlLILUKlYTHieDPj5r9erSOQKceNj09kwy+pOjil8ROICZZ1eF1j8Fn0qYmH3Jg/xdnUJVO9555/RoP1hOo1afip2cWeLKP5tX7nARKli55vvsp+NmD/JHxXARyj/ZI688Fr+QwCY7bQCBxianKhAK6+yvGZRrDTaB9dmLsuoXgzSkKAlE8BFrTt3RzTRF4RuHHlxEbCVTKcUOq7BV4fGC3bBgvgQ64Pph3fUP3Piqno0L4CCQTe/TPjjLwExvUW4P4CbTxt59YXwW4u1TaZIAA/j2/0tWEKnDvQvfpG4IE8g9xWMQDA+RPz5suHyECfWvYkMtSRxfPdpdHV4UJ1GMlEvKuAfxvQ5KmxyYCdQ+ERXk1g0/8Umpx2UwgxpaTNTKt4G88jh9wFCGQRq7ZtuE28L6ItsDLogQyZnv7IrUTPNKm8Zn1FgLVuupfOdcFHq14oMJcjEAdbqL63D3gxvICBabiBEp4IGjZRIIzRzj4GW8l0JiLYlpQL/hJrwNyZyQI5Bvuxq7SDx6307NWbxuBijzep/0ZBP9C7Dh0QpJATZWbrAqH6PpOlX6c1nb8nkveBvaj4Ik8U00aUgSyr2hz2DYObsS25ofKDvy98cJFvb/AbxKRfQd3EmiAV1fy4W/wM9WRFft2EQh1WtScngV/ssDkK7ObQPpWepGcf+nO6+3Upp3SBPphyhnUuECXP+qGyRJ7CORmFJ8ZvET3vQ0yDKIyBLrwo+e36qr3/3OOyIDDgrIEyk/vsv+3Gryh+Zg9z14CGUrd5Hq9BtylOtyVQ45AKxyfv7mxgus+1zRhkSfQzl81pMw6cP12j20M+wgkZHOMaYwDnMVOtG0Be/+GC0ZPuMDTitRMZ/YTyCRi5rMlD/jsLNk8roDrnjurvxgfuJfj1KahA7he2UQb0gTA0SW/k98UCeTEHHQmURiccX2I2deDBBKb7Ak8KwIu+pb1TLsSgd59iOjhFQOPymXa3aSM74VUzIWOreATW30Gqg/hfHvbuy5GEvy63ZXrZf8RaLO48/eTO8B533fPFakQKGDl4Cj7bvBD7pX6+Qjn+d99Qk17wLnqtkZnqhLo/cuzHrf30sVzNeOzR2oEyvyStHh0H7iVo+mzeHUClbHO5zEfAD92WiHmjgY+rynL2x8OgmcvhZ0O1iSQonJ3dNAh8NKi8/PXDxOII/JYtQYCv1yT6+d+hECf7r7cwqgOrnT16pD9UfyeC2ufvtcE19lULWuhRaBee63zgUfBLZbCTYy1CTR+10JJ/Rh4n22Hjd4xAsVsPa2x+gRdHuY9MNTSIZBI7Qav97rgFfy9Eug4gahddz8H6oOv/E3/vP8EgSqYOkw1DMEdU4dtdp/EdYOhlpvpLHioaT4hrksgtk7LqRpjcOeg37KCpwjkvCd7IfgCOGXx2oZTD8enJmjP0Uvgsrorfmv0CUTTmo1gtQC3fFDnvYi93GWSt9EKnPPeBsMpAwIdnXFoCLcFd3hAbRg6TaDRW1bZJ+zpzv3vruekIYH6vn18xukILse6JNN+hkD/lT7ub3MGFxfVi6kzIlBn02d01w28LU6qs+wsgQxazevOeIJHlt/8W3iOQNv9VL0FvcGPzJgvZxkT6PE9a0PSBzwguvZ7ogmBGtuaTVJugF/5WVAQfZ5AkeOXI8wDwOtMN50LvkCgR9mKQ9uC6O61Jud3b1Mc5wrpKyO3wP/+DdF3vEgguyk14fzbdPH5cuux+SUCxa5ymHGOoLunB9nbz5gR6Gde1p99UXTx8RMYPGZOIMnXPyTmY+jyiimvS8WCQF8GJa6X36XLc6m6PDlLXCfnzi4F3Acv17psIWmF8/n5tSdHHtLVzw/xi4LWuF59DfBd9whcdUnbg8OGQOn7ra9/SgH/qhfyaZUtgU5EiGbGp4HPbD3JMYP9Q0bmH+NMurr6OXnXkB2B9I5Oum15Aq5S772r5zKB5g79EfyRA/7iYi97iz2BonVfjOTmgx9caW19dwXXGW3BAZfn4KvWHXd/4UAghT9bmRVfgtcPGSxkOBJog0Sj/nIx+PTCkNl9JwJ5P2JsqHkN7pPDmnvbmUA2e+ttw9+CL5x/9dnHhUD3Cjjl9CvAH3lP9Tm4EujBYJuEYBX4ftvS1otueN5IZ1b7Vg0uGbMhRc+dQEHlmbeya8HdL/zR1fDAecWYPevYAF6mcKV/nyeBVmuvjlRoBt8X4nxG0gv3ZbNnussfwZ+9Ycrjv0ogAbEspdo28AcHdwyweuO6dIF2MrITfM6VtjiPvWtMN+JMF7h1u8Tc6DUCDWb+/i3SAy714V8b4YP70aWKwCESfO0b66jm6wRaO5uj/LyXro9ssthT7ovz9r/nm737wW+Z/i7Iv0GgIe5aKfXvdPdrYuOGZD8cf73B8+uGwa/913Q60h/Pt52rSztH6eL2lvfajQAC1VwVVE0ep+uDPTP+joF4fhbe8stmku6+r7OzM71JoMnE9XV7p+nq/3tX+ZNBBFLtJusWZ+l+78Ld+18wgaqfB059+AsucUfrivQtXK+Y/2pEL4Lfuc1LbAoh0LHSfe+Ml8ErCe9d7KEEOv9M1mIbQ/X/3GDe48Ii9pL6AZlJRnDvs2tdRm8TyHH08La3zOBLTgesv4bhOjN/UuMWG7hqydKh+nD8e2Luth47uErWhdlXEQRi8do/v4kTPKTYKCrzDoHuv1wdM7wB/LDp2Nq7kQQy8j6jV7QRXElok21gFIG0CqWU/PnB31kMZTlH4zpz2EXnuBB4bfHJOtMYvF9skQoW2AzeFq7fcDwW/1768NCgKDiz+XSeUhyBZM9VuhSKg/MX73WVuovrW3SMxI1t4Hqr1wvyxeN4vn++ckwK/EFd6GPGezjPSV5GgV3gtjfT1k1hF2t9vee7NHhrkYkR7T6BQsNiAl/Igl8lioKaEgi0ZVXCsp88eIpXQdzrBwRiF69JO6EALrRWOyjzIYF0BjichA/Sne/G4DOxiQR6esDBYkQZXFvAYq1fEq5jPD1+JSrg9xIGUuwf4bxyOF4TrAZuIcDCfzYZz9VKZbKnNcE9hT86aaYQaNZF7IP4UfBtkgdzZFNxnNndA6a0wS+Wa9Vueozr9uo8q8rj4FnWS9WsaQQ6d6LKJUoXnPuJUfoMdtbh3ExTfbr4s561/JZOoIwWC4Y9huDZ61eYmzMIdHrhW9CSEfiI+onwkkwCrbMXlm0xpstDaY2ptCy8j29ex/joAri/UZ9iZDaeA7meLF25BO5wTMrc+wmB2jVGRf+zAHePFnCwfIrzp6TBjsMa3LjoxTndHLxfX1EhKFtwR7U/25VyCaRrqepeYA+eUP2jSyIP51ta3T4/R/CzdQF2nPn4Xuxq3nTKBbz0az05j/3A6iO7xdzBzUPL9g4W4L1mt7TFb0/wcLMLth+fEciv0Luq2pvuXk/n+r9+jue3+1uPxl8HF2x9ci2tkEDm38VnrP3o8jbw9JmIF/jvZjrVKwaCP0l5xuP5EufnN4aatcHgb1+VvrhYhOe01LYfZAh4yTlPee1iAnFNfZF9FgbeJTQQL/eKQDdobGkBd8CnIhh6hEtwnfEwVzodDX5Zo32F6TXug9Xd85Jx4AfaDVkmsEd2WX6bjwcfbImY/PIGn2/l8nhzAnh0k9fbd6U4b6OSxVMTwYcu8ds+eYv75ulDN9ySwfdIXJmLLiOQlPinVUcfgyvkeVp7l+N8W6efI5QBbhN94LVZBa7n4qXXJrLo4mD77Kf2Ozxn+q5yff8U/GULbZVcJT6vvZuj7+WBu56t/SNYhfcmA9bPl5+BZ6ZZf2J4T6CN/96oohd0536kMmwEe7vazg6eYvBJWodkWzXeR/7TixguAT/IkpbxugbXMbbtV8pL6fLQZBdT6gcCeb5Ld40tp6urXs6HQ2oJVHDtXYpNJfibeRdbxzoCaRu5Th+qBi++IetgWI/vi2uRA3ct+HxGnsGhBrynjPiuH66nq2PrhoS3NhLoRU/t5/ImcB69bx/Ymgh03DqkOu4j+Ha+B3qT2FFeSZddG/iaxQ3vvjQTKLdFl1u1k+59UnXWl7cQ6PbYUTe+LvD2J0dQ+kf8XbsSFsa+gt8sZtS/3Yr3tQLFJ9UkndvdPOL0Cfffh2LXH/aCC9jWbjJsI1AOj46nSz/4ZsOWTqV2AvGp5d/T+g7+tzPBcUsHzmdtVUp0GDw9Ysfomk4CbTX8p/1nFDxNzP/oT+zeEV/Jj+Pg65Qe3fr0mUAygp/isybp6t71gOziL3jv2NbtfmMa/Ei0dM7DLgKFUSPeZ+bAOTenRfp1Eyj5ylLGnnnwvU29py2/Eohn1bo55n9090hj6J9WD54rPqx16F2mq28yb25JEwQ6OTbD9pqhBvrRwTO/N5AEskivao5mAt+77h2aw24kbFdsxwJue2rGsYfC5xU8UK2+Fvxh0ZxfBY1Ayzw7/gpzgM8P1Lqm9RKocn6v/iwnuG641dFb3wj08PJc20du8F9GHUt2fQTSTHT0esILXvSH696JfjxXVMWqBwqA8wqKcu0dINAwt4n8eWHwNfbL9hsHCXSr7p22ggjd7x89e/pn8P//3/gmmEsM3OiifEPPdwL1KKGh0a3gLuZhjeU/8P5y5ZjjB0nwOKPi/NQhAin/aBdK3QHuM1nkenOYQKKDn8au7Qb37L0taD2C55a0Q4OGMuDGXfvStEZxHTNdz7BXDvxO+Cv2XT8JdNdQRYN9P/jKM85zHGM4H+pqcoYOgO+ZVw35hX1l+sGBaiXwbZt07reNE8he+NVI8n/g3h/33H45QSBTvw1V11TBj9eOnY//hfcp84zyMxp051UazO01SSAJFpteuSPgpWYLT89O4bx6oSfJqQ1u6K6zVek3rmNPzsf+1AF3y/G+ITyN67CM/9b6k+ATZcFv/2EPiSz6mqEHLm/l3EPN4Pxk/10UcBp8/wUlomKWQIVTssWmRuAeFwfLU+YIlBdi16NsDL4s6RTo/wfvEQJ3JQQvgFs6EVJmf3E9n3gSN3cR/OPMjkK1eQJNnUnd3mkO3u9mIiy+gOPwyPVboRU48dTZZvUirv+cAhVRtnRxPn05vh+78GJopYM9OJucdub7f7jPPi8f0nEEN2dYfz9tCfd9vwL5nS7gPwLeXA5cJlD+a4MMVndwX7fjW8xXCHS4IPPgkCf443t1JWqrSPTpRdL0B2/wE3m79ooxkKhfcG97xnVwTk/viFWrSTR0wOTzTT/wP8WFDb3Yt5rzLJkHgmfu+TxcwUiiqgk9bfVg8P/SB0ceMZHozT7OUrFQunvU9a35+hoSzYRr6DKE092XqMYYE2YSSZ0YYu27A74pOk1RiYVEY22/f1RGg6cl21UJsJLorbvpSGoc+Df/Lbv/YB+NFucKuAeuuFR39TMbiR4FHjAxewAe1XMp++VaEk1lxTeqJYEbfPtZErOORLUm+03FU8ADvtjlOLGT6PvKej7GNPB7wcSNExwk+vdb6PdABnjyK7X9u9aTKCRe73dNNvgu+UctrJz4PbVy+bJy6O7Lh4mjP7BbOm25GJIPXnXgQEY1F4k4rjxtsn0Oft/Qqz91A4lG0lTOH3sJHj76bPUNbhI1XO3m2v0KvPt9H5MJD4kuGjiNcLwBV8nlGDmwkURHHyx+//UWnNVl37ONvCSaLvRgbq+gq6v9Z4ymsOet+XKsqIouns0efS18JEpf2vjyXg14yErMiRx+/J6Mu5B3HfipY3mJtwRIZHaT65dJIzh5/UOTuSCJaEPl71Va6OJpQ6NUhEg0/2hXqdgn8LvEnzYhYRJp8eh/Zuqg+64c7idz2De/2rFx+DN4VqbMpfZNJPo4m+PZ1A1+PlV3IX8ziezUP/4rIMC9HNw8b4uQaJk9IiuWRlf/vyV2WoqSyLSOdPPsA+9sadiouoVE+oOvLY0H6eoG27KCsBiJ7LsEvFWGwMftDirPYd/DO/tcfBQ8t/q6WJs4zhPuI+ws43R5Ml4/krsV398jTOE/f4Hnl4vcvSWB75GUlPSn3+B/1/ltMdtGohd7cn4XzdKd4/PRSGVJEhl1BBIP/oKLBZr38m4nUXtUztCNRXAJk6ENk9hzaIL8lsvg9huvSTZK4TgoN9hpM3z4n3eFCG/O2EGig+KFvXuYwFuimmd9d5LIg6vx6kYW8AMskc+NdpFIKIh9/wIb+K2GSyf27ibRtn/OG7+xgxe8ONy8VppExn9/8dVygm9P+U96ELvzfMChPG7wCXtt5/I9OH/8RYNjeemeP2cXf08G5+GGqsmrAuAzm1KTnGRJ9Ev6ot9FYfDq8rFgrb0k+mH8W/aICDjj61N6YnIkUt/stkZaDFz1Z/PyPPa/C1//8UiA3ztgHtkuTyLymij/oiR4ku+GVbn7SHRP4tDp/h3gzsmEwc39JHrlL1XUsBu80KfqtokCiXIFKIVCGfDQP9WP5Q+QqMZTn0yQA0+YGUhcp0iivZIBGf77wdefEb86gJ3hpVmUrSL4gxU/hbcHSSSZM5Z0Shnc9vPSl1glEl1+INSiqAK+pyzp3GVlEgVxDoqKqdGdy4MLFWqHSLSSqBbPpgnOrK+2RvA/Ep1q3SX9+wg4e4vWnknstUqJQz3a4LOT7gfrVEiU4BxaU32cLv6ZtZLJiERdjGPVebrgfz+pzLmrksgttOJ7vD648AVato4aiQ7H/d3hZwi+Ty5LWVydRKtKY6Ntz4JHHLxf+Bf7obhgQX0T8LHzL9haNfDzXzXUKJuCZ976q5GpSaLJt0ax28zAgx5fvuRzmESLh6QCOS3BexLYLuodIdHTDvm789bg3me/oO1HcR0WcqsfsAMvam5bvYT9RQFN5OMV8Iv9/7LbtXA+7HK6/9oJvPXWWZkn2iRyl9ksl+4K3pv9PcH3GInun+2buOMB3i+fOaivQ6IrR4parl4FfyGYwC11nESKDyI/WviA52i9E1/CLvLbdurkDfDHz4V520+QSGJaWUEpAHxOrWAk6ySJ9qFVj7YFgfuPe6X66JKI61rBtg0hdPciw/vgqVMkstJCn/7dBt96rqhIQo9E73Vzk4YjwD2XpLjnsUcr/AzrjAK3D+rWa9HHdSbjz8PKWHCzvmq3xwY4DqoNzXnx4HKsY14ep0nEU3x2y4ME8IPjeqbahiQKz02OD04E1w+ek9x8BveXj3G7XZPBuz/0tE1iv98o+930MXhaxoppjRGJfHUc3+lkgK8VsP54/yyJlpY13ypmg4/wcW6xP0eiq3H53dty6OpJwqKBijGJdr9O5efJBx++u/vyBhN8Xpv5r656TvddTOnmg9ifuLEtjL8A1+m9+F/JeVxXHZwfEcV0eStquXD7AolEyzXNG16D51c8f3DelESJfH5aJW/B+UuOCMtcxPPMHoFTmRXgsYzb/Rgu4f7+htU7rgrcLkX/Qwd2Wyft6oAacJtbjeOZZiSSZu7Y41wH3lYU9dfLnEQnFJLfmjaCe2xP/65tgefD1+l2J1ro/i6xpljYEve7o6TioU/gPz++th7H3pekumNXB3jVStlChRWOv3uDktAX8PYrPC7R1jifI5wc2L6CG/OWN5jZkKgjZVfVX4Kurs6XMsnb4rrhOLd/mEZXDwXWizPZ4XnpVX1TVx+4kVuJ2GfsTAcTA+sG6frmuteMWZfx/PbK2rhkCFxhgKve055Etya3GmSPgpcvvnc8eoVEMjlNV+6Pg7Odbf3D74DrfPaZ7JBJcKVFBYth7Pa55auvToP/Hl54/tqRRN+uz9+wnQM/uW1TX6gTiR72rd50bh78R1Hi9Fln3HdS279q/wNvTro2LOWC60mg2WulFfD4/jfv/mL3131Ssmt17f/8eISxd70riT63pXRtWgPunXqBN8ENz3WdqgLrWcElJGvibNxxnRQL8l5ZC94oETWj4EGi7hDzxUkOcNuMdweYPfE5dnQ+6ucC98w/c+EzdrH2jkudPOAjWoZWGV4kmjU4q1nLBy7tX6brdpVE+VImWq8F6fzCnU3q3ri+iX2+krMJ/MRofRPXNTxvcL4rTBIFd5RzvtCLvffDBv4ocfBR1aC2fB8SnReoTQrYBn5fjFnq+nUSqRKd6u5S4DXf5i4d8yXRwoACm80ucBRudF3gBu6nrN9/ndsDrrNnx7Uf2Mkt3XPH94LndF0xLvLD78/EJqK6D/xu/NbNgf44z8OdreQPgFd4nnyvG0CiwBiWFkklcOOwCe3NgbifTtaeFvoPnOMbU9Eo9u+B2f84VMEXQmJXvb5JohLJtBoGDfB3sQkywUEkIl4/y5s9DO66QUBNP5hEcfwNRSNa4Gm83PtFb5GIT3yIpHTAjQpD1o1h93y9elv7SXDBP941r0NIlPp2451aPXByfuRicCiuzxx8vG9Pg29u6ab0bpOoInql7JkReH3QURWRMLyv7WgMyjAGV99/IGAU+2yp45UHF+jOffpJ1qtwHP9dP9wiL4Gndz4qCIwg0UbzHYk3LcBfTfA9OHmHRF819/ZftQafNOK1ForEdb5sTsvRDnzj9oe8P7BrFLq2WlwBv+CWlV0Yhfd3jmSPc07gfqeVN/lG4z5V5qKs6wqe3X/OTSsGz/lPf2w57EF3HxUY83liSVRQObtN+So4l51iAw370q/7x/b6gDPcXah7Gofr3rbayO036PKk7dhT97skGj7l/XtzAHiS8k4HFI/rs1mOx8Yg8PfjD3jW3sP9S1tfYF0IuCpjYlIndpEFux6GMLq/m7CHNeU+7l/Wo2//RoBb1xuesUvA9yuguexXFPiRwg0h8g9IdE2VjfoRCz7tZPFwCftUwoNNtHjwfeLHo+sekkguwNPncwLdc34028Yk4vo2mTDfnAje2/Njq0kSiQR65+/VJIPvFE2sknhEojVHYg3KHoPXto+qTWDXETWRKcoAb+PtyihJJlGj1YmdedngX1jNRv1T8D7Ca66ZkQNONd/mPpaK56idsb5J+eAXb+pv5nmM8yHty+e7z8FPnSxbS2L/eF3qxJ2X4AKn6nsy0vAeWuI/EPwKPDbX645DOom0T3cn3HgDzhPUJK6Qgc/FQMrBq4wu/ks1D5exe7yyu+T8DrxO2Wq2NpNEygHxrnbvwScs8uWisvDzSzLSzT+Ar05M1jfKJtHZC9HTJvV094hZyVD0CYk4vfXMDZvAvzf7Kw1h/83V9+vkR/DTG91XP3uK98fdiklabeA/GXnzPXPwPe3QtVHvBBertlRSySWRA5eY3qEuujh7W+asycP3bizjnEIP+PVTvEvN2M1cO/1lKbpzdLoqdzefRIUFT2p3fqN7PkPUMZMCnA8FQru2DYDv2GN8WPwZidhvbC0Q/QHOJ0aIj2C/LF2mKzQCHsnEM/DsOYmSmyhO3jHwLEbGW56FJGK1C5jg/EXXd7Tz1v33Au9rfKk/1/6mqxuMXO6ML0n0fEiOhXkW3Om8zLsG7DITcmoMf8FZA9eNRxWR6LbKgwf/FsCDHmcuGRbj+WHclOvvEnjh8PKk8Cs8x27wzZxeVfc/7wgWqOvDPv1u7OwvRvBH2dN+2SX4+Ruyd/5kBlfwjRF2eI3nSZFMoSE2cFWF6Qdyb/BzVnqlBtjBq1cLLf7B7vnplGEvJ/hhHhZUXorzNncyheAGL0t4axX4Fp9L3mvWbl7wiBpFp6NlJNo++TiqUwA8ut7PhL2cRBbxmfvahMEFumJ2tmG/XVr2p0UE/Ju4Mxlfge+v37fuRjFw4V5hF+N3JNrBtLa7TgLcAd0bFqkk0avLcrM128HHvL6pD2DX+awv+34n+NbyRb/sKtwvbCxvv5MGZ9UcSbF/T6IMzUurymXB16rnpMlU4zknFsWXyoOzjKPQaezHvRaPvlYAP+GTe6qkhkSXBO8IvDoInrp1YvHaBxKVpY4zFx0Cl9vMFqZSSyIWBT6eFwg8O2VpgaGORNTqVf89VwfnHWg++QH7m70ZQQWHwVdvuRocWk+i1ROLI3la4LZRq1J0GrBbrnLI1QEvuGyTuL6RREOVORw5J8Gf/8y/1oa9VW6m6YkeeMnxz4fuNuF7Ovw5O/s0eEA9re9MM4m8ubUfZxmBKz5sshNsIdHMtyOvM43BfZaSOgnsncH1YxkXwA32nBZP/kiiPPk6lYxL4Bp2v/UvteL7LnKoIN2CLs9/XrUW/4T3IO8tyunW4GFTw+cHsX+45vA9zQ6co1RDIauNRFlnN+WnXQFfDgz7bdOO9+5jkrFpTuDrwitidnSQiDkk6G6aK/ipDX08P7E7askWpXmAmxpOX83rxPelXnwq7Sr4nvtzlQ6fcTxVDXXSfcBl+Md+7vmC9/GJyvfpN8CV+D7P/8J+m/2iUUYAePLnF6PPu0gU81WKLTMInPv+rQqXbhJdj+PvzgwBf5+k5yH3lUQR3hI1WWF093oHL+c0dqpJqyX7Dni6X3v4yx4SBTX5Tj+JpvvegbCfbgS+v6VlCjlx4PsS0J59JM5zYvle7j3wx/1TBjPY97v+tzH/AbgJS/r5Igrva9UuBQVJ4JE6p7XcaSQa3Rhv9TwFnJph5t/XS6K6vNSDL9LA9bXL6qexh7bf2VmUCW4X5XHh5Te8x300VHz1hO7c1+/77NqH6+3IlPnrXPA49nkZuX4SSTqa5JQW0MWt/YPDFPb12eHrywvBm58kRj4fINHebz5R74ro4tPlE+s0iPdr623S70vAz2fbeO/5TiLZkIChmlJwR/NLGuPY9WJuV9SVg9vr20zm/iDRf50KLxor6e5pla//5SH8/NTA9y3V4H8WMqalhkn084j1r0+14B7aNO0h7PuFCMXOBvCGvztvZo7geujQk9zVDP7vdESKxSjed+5eECNawW/mMKaI/STRl4ELlbR2cM0jsQG92Ne/6PTp/0x3jh4Hjz4aI1GU4VuDH93gorcWfhmP4366bZ3WKAG+pfaLj8AEnqN8ys9O0MAlg1pHP2Mvft4U/LsPXJ7zx6G4X3i/FpFpnRukq0uvhF1PTZLonFjfvsUh8NBGlzCOKRI92Ei8WhkFn3w4EtyIPc6Qz5BpAjzlapBlyG8SqalHcLJNgRcWaUhqTuM59qDCD44Z8JepUk2rZkgkmMjxlfsPeELkPoNy7G/q1g3zL4BXfLKt8J4l0Z8tO3k2L4HPvKllV5gjkT6bubH4qnrIk0e6Kr+xyw3mlW9nBP/0kcmg4A/el3mZ/pNmBpdKGzp2+S/+Xkazbjk28An7+W2S87he8ZRHKbKDrw5QHuzD7pW3wUKFE7xY4VnwowV8jgpn9TW5wSv6DdeeW8T1RyjswjFecA1C1nXjPxKpvE8NOiUA/tFTrbwV+4GE+LozwuBn2W//DFvCdZXVXPKCCPiRadalw8skkrqxkmohBm518/3UqhUS/bKxOXBZAnxoY0nDW+xZ8nEjztvB3VYNB3muopDXqeslXjvBN6Sc2bqXgUJuezY9viENvu8YU+ZP7CkqV7KCZem+1+Q3W9ZqCn3+bVUXIQ8+Ky2uf4mRQiPlq5nuKoBHCMf7CjFRKIjn0PnEg+ApfscjOrHr2a77lHYIvLBY+0bkGgrV7718MQeBvxCMNNBiptD5H3prX6iD/2ERZl/NQiHjpbef3hwGV6emst9iZ/n1+EWVFnjZHM92D1YKBexbetagQ/ecwsDbe9go9OVoXX3bSfBfV1DrEPZ/6fP/vuqBs9zS+Zu6lkItNXeO958GZz//hMl4HYXYt/uWjBqB7z1pNMPNTiEbrar/po3BBcrO1TVh98g26F28AF69ptA3iINChdXSSUxm4Onhpvz/rafQzc3a7hyWdHEusLg7i11OIcWGzwa8vLVqJp+TQrNROzxFL4P3nrqmaM1Foen8vhQpB/B/cZEXRTZQaPPGqsG9zuCRiyt2X7B7Ha3SVHYDdx1tNYrkplBDC/FO0xP8Z/WK1BEenCfSa8+c9AbP+RlNLWHX+HWY5ex18MoPQR7FGymU+jC0w8wPPPcVOXmFF8ftTVOpfSD4ia0PdSX4KPTzM2u5RzD4b+eKGAJ7oM/BHr9Q8KNrdEpi+SlkoGDEHRYOfvmIWqW2AIWuxZlY3Y0E//IwLW+VIIV+b1HtSI6hu0d2ztdLsGc5LJs8vUsXf8E8GUchCtmxRa+8vE/3HG6jWglhCk0GTZRXPAS3L3dVJbB/c+G53/AIvD5gVXLMJgqVmv8N60wF76pn6D26mUILo/ce9KaDDyx6MS5j/5s8/H40i+5+BVmuKxKh0ATPEPPcU3Dxlvo5O1EKcX8Lt2LIB59EWR9Et1DI+eEnGvtz8JGjy16fsbMSBa4CL8FNTrVzhItR6I3SFjGJV3Txr9kaoiqO42wgMirzBrx2w8zALPagd2ktymXgp9M1JXK34jwUym46+g782g8+rUsSFBJdvW3Q4D24n9YVXd5tFHLi5uO/9AGc88ARpUbsWqNullfqwQ9uyWL1k6QQTUqx+WoT3Tm63imV306hc47nTwZ/BL+ftKQ7jL3epGc0pg18kONvfZIUhbbF5T5O7gRf3n9jm94OCumWNLjmdtH1l6AYqzU7KbTuyh7T1z3gYvbyt99g5zrTYfGBArc9ZxXtsItC40IvbrZ/A1+slPIR200hebOa8t4BcBceP+3P2A9+YuQe/wHe/N5uMVSaQlZcl/0XRsCvqI1GH9qD861xkpV1HFxo9eq1k9i7n8bk8k7SfZfXC+t0GQoZnj1iu3Ua/CnfUtYZWQrpBLKivXPga/UHGtn2Uiips00GzYP7JFu3l2FftZSodOIf+Evn0HInOQrtz7l00WQFvPW/YxHi8hSqChdMtlvdAPOkT77KZ+xy+pVzXmvABVNedobsw+dbcNLuFiu4i6jpSaX9FJI8XTF7dx34areC3DHsMrOsSenrwXu4ssaSFSgkfUTq/IsN4DbORzboHaAQ/z9ehaqN4NfZYgQZFXG/a27a8YkfXP90yJpi7F5OGgd6hcB9GnZ+tj5IoVuJnqYTm8H/9l0PFVCi0Du2iylLW8DF+P1EG7G/cpubZ5cAL+2Xe+ijTKHhOAXHTdvBv1U8+Lv7EIWKtwn+27UTXESyWImG3fH7/XRlaXCDuFuXov6jEIrOs9SRBW8K4LysqoL78uApZCIPvtdBz2gKe0bqDXl7BfCothNSaYhCu4Jl1HwO0j1/FzOlr0qh5/oXbMMPgZ/44+PBqEYhhiaGp4kI/NmL51MvsZc952PMUwdfR2TqWapTyKcu3rPsMN3zJ87Hb9SgUEHHVcYWLfDey11lNdjfPHzzlNIBt2zlq3fXxHHr17ObOAk+/3BTicRhXLfdlNVX9Ojy6sTo7U7sJhud93EZgidaBagGHcHnFTmCxM7SnYvlQI/8UQr55j22lDMB52nacG4Au5NibJqGKXiq4Pq3sVo4zstF86fNwN+1fV2lro3rTyPjZWtL8F0enjunsJvYX532sqHL51vfD6Qeo1B4Afu925fBq29J7dDVoVCuRaleogP4sQXV5SXsHCY+kvnO4N0WsiV5x3EdsNLe+M4NnOXoXwOTE/genRERbvOk+/32h51sJym0uDytNOAN/jSM/+Br7Mr7atxmr4Pvn3EJsNalUHlj6AcWf/BHIzn5G09RSDZBWVboJvj5yery99g13b683H0L/GRkRaGzHs4HeYNT6DZ4oXbSbRF9XP8Lc9foR9Dl/1PTw83YOWq/dlhGgcfJs3z3NqDQ2uNdpV6xdHnifN92+2kK2Yskl4bFg+sOcX3qxI4EpToeJYBf3uIhHGhIoWhBJ6bCRLrzyvhwTOYMhVSWrpysSQa3W2Q0JbFzpwsXdj0GP/tsr+FtI3zuo+67f2aAh2qfklU4i+tnsWvlcjb4uIHZr37s/w2sd+DOBf9y1jo26hyeB4w05CQLwH/3XxI8ZEyhG3NsXEqF4Md99YOGsW9MP898soiu3r481HHXhEKD6vt5zUvAa7jEmNXO4/tbdueQZyl4uxjD5nHsZrMXr4eVgy+50vgfXKDQjy+ZncmV4DtiSuc0TSlkrn3u8MtqunNhu/9mEruPgvvHulq6+mzncSnpIoXI0EknsgH8HzL6efQShZZ21e+YaqY7LyEV42nsp9hnF9d8Ag8P2ZWfbIbzmd/lh1AHeBWf2KC2Oe47SgojMl/ArYy2rMxgP2StwnT4K7j6153LKRYUenb75gFjEvzWbvW+Y5a4799bCXTqBS/us3kyi13WN+9HUD94ye1HBqlWFOrdG2T+8Dt4S/Fg/zFrCrVm+889GwaP/6NyZhZ7bEdi2oef4Kx9+fkpNhTKyWm1JibAbzDJj2jb4nhu5dOYmgLPn2llncF+dr/dAZZZ8Meat9iT7fA83P1eY/Nfur4QYjRz9DLeg9ZstpVfBJ/SO1w5hX2sxCVDexlc8YCec6I9hdRHSv9eZGj8n4s2X2c6fAXHOf63pScT+M3MhusT2DVKuUciWMCTzx78et8BzzOneYPT14Kv9mkRVHOk0FvzGcVSDvDUtBCVUewVg0+Z2rjAq6zsjsY5UaitR2Z4iAd8vYn7vkPO+O8e8R9Y5gMPFcxZ8x272o74OV4h8AhF9rd3XPBcfctWTHozeIdu0mkFV1wfLGYsNLeAO/8xaadhl6mWqzDZCv6p7vi+EDcKheZtlnWTBK8853xNxp1CbJLP3oTtADc7Up/Rhd3wQJ9x2m7w/dvPvPTzwPvdcD5PqQw4zz3hrO2eFLLQ5BxskwOXkxbybcX+z2ClaWQ/+JYQA0UvL7xfiF9tYjgI/kGloUvkKoViyt36BQ+BW/+6blKLvUd2jEsO0cV/n3O1gzeFasKIM8fUwa/kZHDyXsP50KNcZH4YfNO4sGoZdgEZlh0+WuDnH3SdtvCh0MqDA8VxOuB7j389sfY6hSJ3153NOwm+mCa+qxD7qflnPB/0wD2Vi8eMfClUxDP2nToN/uJlbOwyduZoj9Y5I/DNOWWbMm9QKOzmkU+cJuC+5fvCdfwodInp3LCUKfh0xD9qCvu9Hdn86mbgsyW8vAn+uM6s22VqYgl+jhYgqxKA55Aq2lt3G/Ajqeqyg9hTbMpkIy+DaySf2xgWiM+Fr6Is2wF8t3c9KXMTx+EndbHKGVyxPfr2Z+zdDHxChBvd+xwrEvIJopCS16WfM57gOsH7orcE4zjblXSsvwZ+bSvP6AfsZvMbO6R8wYXr9aTsb1HI47DbiLo/uAjf72NcIRQ67NTMd+EmeOvzWb1i7G8ShEy8boG3KJv+ZxxKocxBo1cxt+ny1kSaYwV7tecNqbwI8KkXllXpt/Fz3EILa6PAeYfXGGuFUYiTwVmvL5buvFK4u8awKx+WYf0XDx5yI0IxJpxCcTaVn/kegPft9LixP4JC56M3l+5NAo8/9vHJV+zvhlWLj6eAMwU9KPG9Q6FPDyXqbNLAh3y7c8QiKXSz7f2vwEzwE70RgR+wv3vNK5P8hK6+6b5WsYuikLYvf/CbXPAEz/O97NEU6jj+fqqzAPzkv2uWz7FPGXJ5TBaC77nN+9EgBudb/eJ69mLw5Q/Sm/5gJztuvNv+GvyLyYeTD2MpZJoTd0vjLfi2GcrqvzgK9fvus7xYAf5a0dvsG/awAJOzPlXgOR0Jajfv4j4ystrifg24m5MKs2Q8hRRHJYJe1oETr+yf1WNnLn37trURnNlQ/D/7exRyjqpiG2sBd5y1eMZxH+8XabKOrG3gvRpyzM+xl+xkHJHoBPcbi1TTT6DQHXP5a2pd4HWJPmYz2BmC3oqZ9oCHL89b3XtAoTON8b3XKLp8q1qnq/iQQqUuZS/vfwN3jXuxqQe7csmO5KIB8MEtkx99EnG/7u5KbvtB9/4CtVabkyh0mreqeGKEro9IKfRVYI/P6+1fNw6+YZW62qVHuO/0SkvumATffvJnMEMyrhsTmX5HpsG138s/S8POIqL+y2KOLk/YN5drpFCI9fk/94B5uvpDPnk2iF12pJUr5R/4z/7uW8GpFCpc/+p92Qp4+6cCdcnHFMqzfhrWs7oJ6ozR7oFa7JsUM2z/rgF/sN3A1iaNQqONqef52MCrpiXaWdIp9NPmgfU+dvAeh/QtT7A3ng29pc8Jbqz1yUArA/fNYZsyZ25wboV8+2HsSWZyrFG84GKjyrahmRTy39Bvly8AziBwQ1sqi0JbD7v0NQmDe7t5cNZj/3Ssx3FUBDzv+dZSm2wKJbrwc7OJg68LCtNmeYLnLratTdu3gZum5ZZnYX9i8efBESnw8spQviNP8f7VFnnDahd44t2tp79jP581cDVoD/jrDl/PoBwK2eyfDE3fC75z3wPfrbkUOt5RUPB+H118rnjZvcce9FlwtO8AOKu8kJJZHoUux+5SZlAGV0M3f61gVzSjPd6iAm6vVXQ7OZ9CQg93i6iqgaswP2P9r4BCIve4nl/UBK+U9bhCYD/wLMjI7yi4gT9rsfczCh1Rvbkx5Rh4ev7lfv7n+N5lMg9VnAB/5fJophi7iBJbK+0U+LfgtJ8GhRTacyG4edkAvDHdp24K+8MrHr0iRuAuwTtDo15QqL2ugwUZg4t+fy4t/RLvfa0PD1+8QHfuvlyvG7H7DtQk+F0Cd2TT2W5bRKG9NscZUi3ANTXNfdYU4/wp3+VXaQ0eN2JUlIZ9r/YF7j47ut8XS7ejV/j3zkQpgwN4rMX3ThJ76v3Uq+LO4GyF/mXeJbhvSmbraLiBhxsz3OZ7jfP55oi8pSf40c12Si+xl/Ob7w32Bn//6s0n3TcUUji+TjPrOnjr4IzOGHax8F77Oj/wu1ab8kJLcT6jr0+GA8HD/uydkniL4/P59wLbLXCvcweEq7A3vpE033Ub/OqxPTsvlOG5wtiJdjwC/M9tAZF57L7b6pwco8Bfdv2Zu1tOIalwKb7oWLr8n24pkq2gUP7inbbCeHCr5CSjZuy+w1OPOxLALydY9dq8o1BT9cmQ2UTw+rSdxxkrKfRlVUoAfwr4xxvjj5KxZ/FQ0QfT6OrGxLPOg1UU2u/CWGySCf7ihdtkJ/bLUewTvk/AP0QqTTm9x/n8/bdyai74hCZz19pqPGeOPE9+XwC+PqH7cSZ2Fj41vu+F4Od1Xuqp1uA9a+BRGksx+AXxhB892O2bqzR2vgbv+xZ6yeMDhYSPZ88ffwu+QSfkHWct7lM0rRqnCnDzbfGMOdhPMzxOj62iy9t9Rbs16/A+vjfnfnENeMV/P5Ro2A//Mk3trgPXYJbec7Ue1403b8oXG8G7DMKYuRtwveIq/iXyEdxnbKU6F7uZp46Ceht48L0o68ONeL518Iqx6qTLQwHlCRp2F295httddH3kIJPJ1SYKiYtcC87rAe+uHMvb0Iznom+HRT5R4ITH3EAO9oijMU3T38Bvbdm6SrMFf9fXM3f4B8FX33ZnoLB3bI6xUB6iyxOvsSGPjxT6/Ujp5MVR8OLiiJfrW/GcNnDixM1xuvu1zsgyG7vJ1Q+XsifBQzROLKBPuI8MJ4Y2TdN9r6SLRzd2k8qmml9z4As3aj47t+G8jdDl3bhAlz/82sJs7XiuI8WuKS6Bu79ZdeQxdsP//ps+v6r5fy60d9zwYAeFjqom+Qcwgqtrc+m0Ye/2OCiexQzu1WK/za4T9y8nzu5GNvC42wzfV32mkEOlQNovdvBK7Y7bCdjvLOr6b+Sie05PP4/sFzz3Fj9zPcgD7s0qd7MO+62bct6mfOA9qe+7TLvw+yy2x90UBP/nfG/DHHbf4vD3TzaBhx55Jnunm0KBWkZrPoqC+/5av1/iK4Ven5A9Py0OLqpUIvIW+6TphjoBSfC1s0/H9Xoo1MA3e1hlB13cfg0/Hsb+letLt8Vu8Jt/PJT9CArdHynwuy0DXkXpl/KSFDJWuab0TA78kUuASB5283w5ts/7wffeZLRVp/C88bn954IiOK2/51439tdGhv1bDoGfNmPLdaThPb2jaOwIAo9tjc5g6qWQ09jPtQ7q4APLrjcfYv+iMXso7jBdnCsLj8p+w/uUb1PgGy1w46GTUx+wl6nYkb064Hc1j/ub9FFo2+4GbWZdcMbc3JlJ7AZj3xt364M7jjuevNVPIUfJ0osGhuBDtPt3hAdwngSqsl47C96mL/XiOfbnT91qUk3Av2wSLzs8iOfMwyfv1pmCj3OF5PZgP8XQ5DVhBn6O8Zy/03cKqYQOOvJagefVP1Bi+kEhppB470O24OX7dXoSsPPldt+3sAd/Kep0UXoI95G0Jw1hjuCrz7M0VmE32ryK84ULuFUlr9CZYQoNNn61+eoO/kM8SXcUu8t52c5VV8G7ziVdvjGCf39z2UDKB/yrsoA99yiFNsyoDOneAO9I2aCXhT3t0tgdrwDwlfNhm5R+4jp8g0ErJYju+ceCWlqwq6725q0LAd+pxmBpNobnkPQTcxNh4OsEGL/NYBcXuDbKF0mXh9nhaqHjFLokOD+lEgN+rCEpVHiCQr8ufmC3uQt+xFCxuAD7m8yvSlH3wXm2XapT+0WhB5my10segitz873rxI6EP3zqfQQeM2eSZDOJz7c6RpH1MbhCnvzFBeyHTWJeymbQ/Z4jheXOFK4njyvUzmWDn51NiRf9jfdZw40DATngt1QU2V5gn1O4cz8nH9yyxs5ccxr3KRaJix3Pwf3NFR5/wR4f2nHw30vwNzMpH2xnKGTne2/7thJwGaMnrQvY457aSJ0sBde31nsXMUuhyja1Q17l4ORy0l2ROZwnb0UtUivBG5YidJ9jZ5T+l9RQDW6runVS7Q+eb8fbRn7Xgh/PMPPswL6qNlF7UyO4Hsuxfsu/eI66cbrscAt48lGa/Bz26r45NadP4KkaW+xD5nF/KfXtSeigO8eeDaECC/i7OgaC338Bnx0pCnuKPXNhq+bYV7p+ob/OTWmRQhP/FHn5KLr6PM2n1oS98cnmefQNPDrv64zJPwqFtzT/shsAn7xgGDmG3UpZbT7uB13dHg7n8F2ikGW1B2/FCN3f3eXnyrGM+84BK83hMbp+wba3/BH25Mtrb3FPgstapI9Lr1DIWfZSz6FpcEGhbsYK7HcvmKnZzNE5V9vKiVU0lFzH+jZmHvzk9ug+Cnuvpt7Rsn90fUed/6kDAw0V5+3/8WMF/KCG7Zkl7Ie7nt/fwNjyP4/nCB6JWE1DKY/KTQ4xgzsGOZlvYqSh8q9n5GzYwHXCd1TlYney9hKOZQdfWFO8RpkJu6gQfzkneFQ3j2wjdrO+g9uGucGth46qnltDQxW32w7z8IFL8BsoDGOfmCOuqgiCFx8/wO3FTEN7WU9X2G0CP+ow17GGhYZKHu3jixcFP2sa63MXe0jCVf9KcfCsNRxsW1lpKLpHaOnnNnAlbdvrhdgfH+GL4N8BbsGZ9Rmx0ZBbpZW0xm7wVyr1Gz9iv7ubqc9RBnx9xaeD59fiv+s8lvVQji4O7lWao9jTXQX9aveDp2kn7b+6joakhG7Z/VYE/ythwc7MTkMyutLWIofAQyf4G+KwNy6weRxDdM+PLLMX46ChDmb+e57q4NHj+jMF2Dea6jakHQY/PUOaH1pPQ6pj+etbtcDHw8+XNGD/+kjaelEH/NmjjqkznDRkfKmhdbsu+AEeTe5B7Czi13VO64PbfXkm4MJFQxLtql/9DcFt2wTWLGMvu8TtnX8WPHvCvytsA/6uip87e0zAvwiMRvFz09BOWt0E80Xw30pn9mRgTyp8XCNvDr5fte6FLA8Nvd3tnnfJClxqI9pcjp1RUynrji14TNo7B+2NNPR9bKKw1B7cv+tYxmfsiZvvtA45gh9P6a8046Uh3RbOlY2u4Hd+hFaPY2eZcVFV9wAXfYjyvPnwfQwriHO6Ci6dzeqzhh/HJ7zyb5IPOP/id5kY7Mu/0pwab4DH3vzauEmAhrqKTv39EwAeuee7zhPsm77UxG4LBlcbXftSXpCGJPUWVAxCwXdmHl/1DvtOibF//uHgLCfz5I8J0RA6Gd9cEAne17HrxGfsxq2T+WQM+PK2luOXhGno3JP51LXx4L/kY+V+Yp/tyclUTAAPGr++7LGJhj7arby1TgTvVo96vmozDV08+3vgbjLd+0s0aYVj58i9sbn6MfilQLk6XhEa4rVJsZ3KABc6WbcrFfvDWN0Pok/A714N99wpiu/dvjD5k7l0933aP7sIO7fhsZfXC8BLnz2tUNlCQ4X/wjRzC8FZU1nK6rFL7D869LUI/NyrpBR9MRqaYb2WyPoaXPL7ZTsSe+RNEbMDb8FlRd0FrcVp6FChjKJ1BbiHUemzX9h3pDzZEl9Fd78C0G7vrTRkahIkVFMDzhi9Jmq1BA21z5Rvm64DT/Va3x2O/bjPKXXxJvDNu8+z8G6jIf8VBWe9j+ANjyc3JWNfjL3yzL8N/FBLi8B2SRrapzW28qwTXDt9duEZdne5QrPeLnB2wcvVittpaN7qVed6Arx/q7RrFfaWP3NnVWh0deCNKssxKRr6seQw4dAHHtCaFdiOfXMUX/yjQXCD82aDxjtw/Kt/Hm8ZAtc447p7AHvUi2HepVG6fvSSMLbfieuYJ+vk7glwmyspTtPYT+88Qpyfousvnu8u++yiIeXhpK6IGXDDxv+OM+7GfaGZ5XvZH7rnm27aGI49cCaAcXwBPGH3hffc0vi++zLLb16m63e7Vhs9xP77VrTbCYaPMI8ZcLSL7aGhTzLCH3yZwIuS/eWfYq9PeLy9gAV8lMnUR1aGhg4MiCTS1oKX+WU/LcF+Ym+kKOd68BzWixUqsjivskaL0AZw9we33nzA/sFKxsR540e6PNmSeHwvDf25a8T9mB98qFTaogO7xznTnjYh8HOqhRuM5Wio76vKy9Ui4MoleVnfsD/5byZJXgw8Rkhc3EYe15987/uWEuCZVjxB49gf6TWmxW8HZ7wb2Oy2j4b4DPsqaneCuz12WZzHHtX/5ucfaXCGsH4u//009G2b7o4de8EXtLvYmRVwX9BJ8jLeBz5O6f0K/38PSPoSfoDufdRPv95wAOfJ3LEj5Urgch7fbO5j/9qdVjvxH/h3179LmxRpyO9citEWNXCdg8nX0rBfeKo8r6cJvq+2g9p+kIYsF1xzbx4Ff8mfuD0fu5WfqmPxMXDe3XNGcko0xHMlRW3oBN37Mww5lmBnmg3bJqgHvj7B6cohZdy/dJcFdU6DB4/HnKrCrvBiRsTXiO57GU4JHzmE76+B3b5nxuCrOnObG7EvXDEy7rsAbmmZban7Hw0JK5RG85jRxeGF5kAHdpmRiK7DluCf3gVr4QKAqMrGPVdtwF+FX7lLYi/863gv5zK4Lf9i7SVEQ1wt7uspB/ApC/lvg9g1fLrucbqAZ7jyf7NVpSF7tVgZdXdw9sNPa8ewx5imdrt7gf8hR+Oc1WjoHvdSTPY1cOdDtKMz2A8mp5v0+IJXWwX3e6nTkJhG1H6OAPBrJv0Wi9irNd6KqgaBX9zyp+mGBg3dHBAXcgsB9y75ILRaE/cp6yqJrDDwDRKnTgVjF+GORV/vgOfZJVxhPUxDG3ZHX2aPoTvfiFSncOxo8VUmuguuFHX53PojOH/qGKZc74O7ev3dEYN93Vf741kPwQ9qH+/jOUpDz7wnS74+Atdms/W7hz1+Okye4zF4WtkJJkEtGvobo/BONQPcz3bFKRH7p9QJY/dscGNuv/ebtWmI36GA+UkO+Ni7j4sp/8ekfYdj9b4BALdChESolC0aJGVkHNlp2EUSki0ZGSWr0EAkI0WyiZCsiIhCEVmRvK+yIopCyeh3f//53effz3Wu8z7nee71XIBHaXq8HHiMvt13ZouwHoXo8957i+MJ+kHVMeFM8GCDaSeNUtL+bClZL34Y8lE0xdS3Ap2H5/hoDri0pophfhX6+X3dDyWPUIgkmpZT1Br0zwFSGvngHI+V/Ljq0XsW7Vt3HaUQbikxGTqNpDgsClIuBLcTb6D4N6Hz5V66I30M+n7KO8niN+huk+bvi8GNzAtDR9rQ9YMEFmT0IX+fWP7ge0+qq+fbaJ+Cty5/cDrajW7XYDcna0AhSuL55kI+oN8MnWwrBU/t2Xyr/CP65ueWt/YbUghT3o/y3wbRs73q95eDe5cbzgp8Rl8p5W2UM6IQFzkCqkxG0HfcPKNYAf4y6MSdG+PoHisZ8fLG0AftPvnXTpLOfROlrwK8XYDpwq9p9IyvG+gVTGD/2bv8JWZJddJHk7sS/Gms0h3LOfSItgvrFEyhD7IpV8X+Rv+4mPWtAtziS/tM01/0b4wfn8gfpxADXj/lVlZIcULDZVUBHiKeGrmXth1/95fRL7kTFMLd6v2sAwO61Lf7buXg6aGh9ilM6H/nfnTsN6MQv5afTnayoEduNdxcBr5hj0UgMzs6vWe93j5zChEb7i2kyole8U/9zFPwEafVLi9udMXuD9Z7T8L8pjkbn8eLfmolRPsJ+ELwIQfqZnTJGxpceyyg/0bQ6W7chj4etq2pEPzHe16Fw0LoW+g2ntl9CvKlLlQ+RBQ9eJ3kSD64cpOmdsV2dI7SU0d3WML5mhifnd6BTstckpILztiff1tECr2Bd2eP+GkKMf7q0DtzGdLzv1p+ZYIfiJLYHLMPPT0vZlHYCs4rTcP7tTz6m8MhYw/Bb/omUJcPoL+fSKnaZg1z4xV+c1lVdOO4r97J4LaK7z87HUQXPmXLt9mGQhznLL74UBP9kNH69ETwqZBSwQ866FzXZzdsPANzL/3HXrbD6Awca11iwTnZ+ZM1j6H3/jF7xGFLIbT5fdz9DdHDTgx3RIKfyx02LjFBP6jyiLL2LOS7lLX2xAl0/+dFXeHgFpLjOoIWpPePzxfR21GILN4LZidOk+KkM9ArGHzCh87vlg169a0j21bAOV5HZb86S4q3PTbFF+1hn0M5R5Yd0J+9rZVcAB+XvbFnnwt6jJfDTU8HCpFjMhPh4oauomzZ+R3c20l9Id2DdL4H0mldHCnEpflL5z9eIJ1LiALfOHjD5fjfnH7oI+LCPLZOFEImNOrWIX9SPBA2SxTw4Nun94UEopcM/W466UwhjHcyTFSGoHsIfPXvBefov1gwE4p+kXMfr5EL5KNIdaDEdfT7rYNJbeBBsQ1W1hHow/bj9Idc4T775Jb+3Vvo8QtGpo3gV1j4jnXcRpeJFb5FnIN6JWlhwRyP7mxgVlgFfvm+sa/aXXRZ3YWy/W6w/unlNL/76KUxq5nF4P6PjQaKH6AbHvTy33meQmxyMRCZSENP8ziumA0uUT57USiLFD+KjyiC7jBvCOylmueiTxe7u9wHH1BgM47NR1eYyadu9KAQz+ICe94Uog9ynFaKAb/5OsSevoQUDxI3Alk8KUTYmQ2MymXoGsbSeaHgrSs7Sy9Uom/LM6peBTeQeuP+uBo9UGO+1M8L6s/Nr0pjtaS6qrQp4Sc4f/6VjQIv0R0L6k67XoA5YXvcyolX6G8Lp9nHwKOT+OZimknPW6ZnW3lDvt9nXWx5S9rnziGxfvCpJsd19O3otpL5kUY+FOJg9U4p5U5Svb1MP/AWnGODwWnvHvTasW/rtXwpxLzT++TCPvTRq/ZSteD2NvkT4wPo1ue9ZeX9KMTjxH5NISr6XONmwWLwpYIThSe/oGc8NJuTuEghtNSFxONGSb5NpjgN/NyiTEHbV3Qbi2zjzZdgLvUOU2OaQg/3qqLEgn834x1W+4E+dfW8Ias/3HMPDd+59BM9N68p/yq42rcRo9J59DV0r6aXwLeM8gp+/4N+7ZET74XLED+Dvkvbl9HH6iokpsA/X6YZtfmHzm37ROhsANxHyo5/P0rbgXFYZEb3CXyTpMrsJB16cUPRG+NACrHRTWbpGgM614vKS2/BhU7KrBNjRN9Z571BIwjqcMMB0ZdM6MujX29XgU8GHdawWoteq8+9KBMM+2Nv47TMgj7C/1cnDzxe/1JC0jp0znPJgYIhFOIOZ9wbOXZ0YeuV5ERwlrCCNd0c6Lt4BDLYr1CIwCv1Oh6c6BeL6G+HgX//0hHDzoUeduSx/TL4s6C+oXxu9LXs20S9rsL9aG+v/CEe9B/cZi0T4By9TfFjvOgnr1getw6F+qOZ//fqJvQM3z1ve8FZzQPthbagH+fp2n40DPryD9X+Wn50+WAd1wbw318mjU5tQ1f7EH1XMZxCJK4P7loUQE9XKSwoAh8yWT6ZKETa557MXLFrFGI50nJinwj6npfekffBbyakBXaKoreIiZhxXqcQMfqvN7uLo0eJFLFeAw9IaKlhk0CvpGzJWQaX1ctzyJdEr77kssPzBtxnD9nyHdpJirctD+PHwUO959vHdqGvG6n+euom3GsKLG+FSqFrLdaJdIIPdiQZC+8hxVvQE22dCOhfL3ME6mTQ99+LNnwObnwm7KelLDr3eUtNmUgKwX1nT+vSPvQc4a0C2eBFcjkFSXLobB87Pm+OohAt0uN35BXQY6ouRUaDe9t8D+lRRH8ywS/AcItC7Cmq8vFSQpeIepbkBz68fMiTUwX98xuj5SnwIal7F4pU0f80T2rbRMM8IJkXcFQNvenx1Ys94GJdF6K+HUTvSBWIOxRDIXauX8q4oYHe86ouoQacpkmxfrsWeoO2U4jMbYhDitToK22SH9pikgUuodzHcVYXfcdCH/umWIi3ZtmDdHroEV6ZTyLBGV2Iiw8Pk+J8IkiZ5g70BdbFCtWj6M7B54q8wMtjT698OobObH2eZRzcaeLcIX8D9P7ia0dPxsGctiiavMkI3f1+pV8buF5+yHyFMfptXYZItXgKcX4yxPS4KbrsZ9drT8HXpok8nzuOfvXWnLN4AoUQrjoreceMdC4XU+SSwCWFNFJkTqIPtjpNsiZSiL/1z3k7LNBVnliEB4IPXm+/62aJvmrgzTILfvXMRUE2K/TDvZU+tncpBJNyZWG+NfoVF4m3PeCzdDc19M6gKyq9ZtJNgjjPmqJ8tUXf6x63qwpcgpMSfM0O3WV/vOKuexTi7v5TkuIO6Kzlb6QegJfT2vU1OqJ7bZVft/4+hdhqtxBl64wul/jpfQh4tz67Hp0rOp9+TdAv8CMlj9alnUNn9xjYaJdMIc4GtPQQ59E1JRXjesEt0x2zKO7oGzP7/uqkwP1oQ7h/gCf6evbnh56BS9cLmPFfQF+4Mxq84wGFyE2VVar2Rq85c+LhfXDttBeiJ33Rr+dw5a5LpRB2z+q5F/3Qn0bz3w0Abx2QZ717Cb1R94L7d/DcZQFm+cukfkGzVcbqIfSd9X6svQHoL0f4PraDx65T3egdhF4n4uyilgb3lLHzYtwhpPd/2zBaDP41llX56RV0Y5eNOkLpFOLUWg5zo1B0sfdet2+D86j5XZ4NQxc6sqeRNoNCSElpZcdcQ7diPUr1ABd/69UrfQNdWrX1y2fwMXY6tvab6Czcxe8MMylE4+z0IbdI9IfP/6bXgwe67o9iu4Xe7VBoJZNFIQi/3t6CaPQSrTaGNPB49nbxI7fRQ8LNY9dnwz1CcmvAt1j0spOmzMHgZxtq+2/Gof/8+dL+B/iGD0+UdySQ4io48/HpHFin1VxWSyJpDpFd/tQGvtU8dKNTEilfVFrnlHMpxI4XVhHM99En2nnm88HtboUy5SaT+iM/ZXBzHoXIb5i5ofMAPdRUtOgGuM6p9A3jqaS8KPjm+Af8u2liWngaOr2xHKvDIwpRU9gmJ56BrnuZMaEHnLDT6HyViR578vRazXzIC78FL7ts0v4LqtmVgPuNj2xZk4tuT1uYJ1gA83zJujeZeegr0o96b4Hz9LsEauajP6PKTS2DnzxFozhSgL5V8/ik82OoeyrNi1cLSf0ihuV9H3j35fo6kWJS3C6aPtQupBCaWyejGp6Q5rqSA2al4IWCaja2T0n7OVP1R6iIQlTeqD9AX4buP94XEg3uZuG6OaMcvfNtwq9l8ENJqjQalehJnQtHnYvhHHXkpr48Q3+3ZynmA7i5kyHlSjVp/tmS/VzzCYW4xXCrV7gG3ad5seMJ+NDWye6XtaT+4vqnbVsJheipsu0/U4d+SzXzaQS45ec/w3Qv0YO9/oX8AW9PzJlLbyCt/+A6RbunFOLbyDlWjVfo7dTWvvfg/e2HJIZfk+rYVQ0b1VIKscta8fDVZvS5s56dj8ApKQcuiLxBz35msYu3jEKY3j6c0fAWnecZ7fmr4BYazn22baR13rO/9wN8e00cF0M7ul58ZKFFOYU4wdxiktlByqPP3vlN4DNSa5I1O9GTy0Rvy1ZQCFslnYmRLnSq3n2rVPAbClHKYT3otP0DPKyVFCJNpide7ANpvr37tdwH/MTerfOv+tCt6xuIL+BV2rYn7T+iv488/+ToM6jn/lmvGD+h35D9zvoM/NOnz3I5g+gJ3w/qi1ZBPffjKdShkubn367+0eCvTx3c+XUIvTfcI+Yv+NcE68LrX0h15oPhLbtqClG631NecgQ9S2i9dwc4v+6F1y2j6HEPCzWVnlMI98GzFs7jpL4fJb2SBX5hjfoCywRp7hWNf7C+hkLodqxNzJ9Ef5HyWcIfPOBYlcqRKdLcu583eRR87W3Dyalp9FwxhT/6tTD/5LUlR/1An87TVqkCZ87bZSo1i26youki+gLWme7K1f4TXdVi/5Vb4Py5ER/Oz6Gr/9t05Q84Y9u1tPUL6AJi885n6ijEPVErjye/SXMpc4tyK3jGSw4do0V007HE3/vrIT6rE4V//SXF7V/b+6ngViLz9HHLpLgNlpZY+xL2n0P8275V0r6VL6d4grfFS/T1/EPf0Ne2PAB++e3fNz6073FuF8nS1GqgELRN9xp46dFNu0O9C8HpUhlfVjKg60qej+ZtpBARzsqvzRnRnazsY4PBeQ8e6PjLhO5W6ho4AX7xwCr1/lr0A/ahxkavYN4+Hz6vzIreX1LEWQ1u8LtjPWUd+rW+mUqR1xTiytSATBA7ev5GvUOR4ByOWWaC69E/5ta8nAPvv7ozrJ4T/UPHUTHLJpgHTrpWnOFCj2lddn8FXrPG/gf9RvRtA61Zu5spxIM0nt1ZPOhNSnUN8eCmhy67a/Oh00r1v1kBf8UX/2x8E7rL7KZquxboC7usmG9sQe98FRrXBn7lYd+pHVvRpb9tObH/DdSH2H/lb7ehZ6V9pksBFxHs5DkniB4m2ZfI8Bbuv/bHLrMLox9roOVxBT8X5jleJIL+qMg6oAtc456ymaEYuqv077YDrTAPNz5691McPeFqE1M6+IJItV6cBClOprt2rG2D+bbPpXX/DnS6wm3y7uAztNXGH3aiCzE92vUB/GF99pDfbnS7A36squ9gHxR2e22WRs+5EdGVCS5w/Qjr8z3oP+XGQlnbKYRzJ12e5V5079CbAp7gNYrHjvyTRY8rvZTRB943tGv+4X70nrXP1hMdFOLzZHKGujz6j9c6Dlngdv7JJ0YU0BukJHNY38OcUC7JGX4A/XSoVYcHOG+desd2ZfQ/LNNfPoCfqRmNa1EhrX9NN0Wlk0JYd623ciHQByp5GjPAH25/KcV2EN3ZoSJ2bReF2DT0m75InXTuppV658FFRYopBproik1bprrBr/FO1P7UQq+nGfE50A3fNfIwM04H/Yo217dUcMMnPdFyh9BZBvN11/RQiIPZYcF9euhca4ujncFvfSv0uXQEPYRDuK4dfDlP35P/GLrDfoaP+3opxFMWe69affTFF2aDSeBq8jMXrQ3RH84JvVkFv2c+FUZnjD7Jd+ah7QcKsSXZLDHTBP2W5xbrZvAwSdlC7ePoHjoGa3f3UYiVXZfefD1Bev8gXfJt8A2dO6dumpPi2X8/3wL4M01trt0W6DP2kwEn+6HPPmki2k+h/xsTaasFD9Ys9PA4ja6gPrJG5CPs/84/uVzW6Jde7Ja4Bj5+J2O0zAa9I4tu3zfw2/mF281sSfVT2U5Sf4BCUB/ynv97Fr3kzQnmp+A30z9VJ9uji9391MHziUJUUJfYCEd0v6n5K5fAv1/zsvvshB7Okb2NAs7/9uDLqy7oRod+ZBwchHtK/1lR8XPo7F+6NmSBc418jGh2Q+cQPu7CTIH78pb0P87u6H2Gfo9dwGlKKp3ZPEnxU6Xc/w6c0sf/pcgL/U5G1ncZKtTbl62njbzRzU+UTceBL6S9HprzQb++za33NzjtI2bHRD90T/XO3JNDFEKV/fac4iX06HUjZ2vAb9OdDv/kjx70OotF8DPMG9XntgYFkNe56d4V8A3nap8JBZHyS0adaxSc/ugxi8Zg0j74CPnofIH6GbOFzuEKOrXz2cs88OJzooVrQ9G5Y9kWWYcpRMxmB6uCMHTN1W2b3MA/t33eqH8NXfbMjHAHeHlt7PvZ6+jNzKE8e0fgHirqFxt3k7R+lU+/7oDzyceYyUeiG+gtVc2DP5fqF/kYRVqn/7DLiVEKsVHTcO5yNPqRrYmMz8DFixdaBG6jH77EF7F5DOb/gqbMl7Ho5RSnRX/waM+XoXZx6LEJUYaD4LPKo07MCehrv4fdUR2HOq8tZZKfSMpfGdMXqeCbWu5rHEtC13680k3zFfKRdpfC7D30HYUh3Tbg53cMysQlo08FD9e8BG8MfrxH/gHp3D3FbotMUIhetfv7PqaS8rr90LFQ8LScTJWANFLejRnNj4AH/Gw6LJhBep5eI1xrkkJIW9FbNWSiB3jz02aD9+809bXPRh+//tmO8RuFYEmsjlubiy4YGVdqD15A3VdRkIcu0yY//RqcW+sFRT8f/ei9No7tUxRikdGc9VcBeutBM/5r4H52NCoJheh7NnzcMA7OkfbUS7GY9LsnTX9pT8Nc+te96NMT9HOOrTXZ4AFP5WaCnpLmxsiDnozf4b7PRi8nUoa+lbtivT04j1538Oty9C/60kmvwE8V5HY4VaK/uVXAKvaDQvzyCRRjq0J3FJRxDAXfNG0cVFyNfsHkReEwuJvRdopxDfr7S+ZU9RmYfyYXDv6uJdW3Ydq/aeDbluoe3asj9XFK1SrNLORj01U+1Zfog8/Dp63AP8WrRHxuIOXLO4fXteAK+VN0Ya/Q62ytb2z9SSFqj0YHSTShL7R5yl0Gb2kQoW1tRh+2TGv7CM5nknvt/Bv0lLPfjyn+ohCdWlu4uFrRz8ieqkoE9x+6lFHehh6/ZZpjAZzG9ZXCyXZSf3fL0DeZoxBFexY7VzpI81tgyMUScGVfbs+0TvRvyTei1s/DvfL6Rh6tbvTnW2oj3MAzCv/Wfu1B33VU6EIreO/el66RH0j7fLVMe8cChYi1chbY048uzxlAfx3cP2i2t+sjae7SvfRoFDxh0PSO7yd0/oAiJY3fMP+/ijfZQiHlL41AxUNwnytFm19QSfPt9rf8q+ByNmmjZz6T5m2NcleLPxRiR6FTGeMw+r3cL9mV4JrljDcfjaDrPzJ6u3GRQgy99rE9Noa+M5n5oyf4892VB3+Ok+aB94xd7eCLCi2iCRPo11L1y3f9hflEPnfdgW+k+mA2evUGOKOv8eLgFHqE0RulMXBm3ZbJkO+kuW6IhqK+RCHeLDJ9FpshzecnIpxTwS0/sX1qmUUfZXX9vAQuq9Y/cO4XqQ4bZambLVMIYR/HIc559PZgxVul4Gfan02ULaBrfdvRuH6FQkSmvP1t/ocU/+P+I67gaXuTWVYXSfXnjdSPZvB/Q5LC6UvoNRNaI6KrFMJxyVNVewVd735DQzA4fY+31eQqKW73PYr6BG5WvyfsFk3n/51z3fJBhX8QD9zpRXvp0A18q4fugCsLN1N66dGft046/QB/TaRt8F+DXnImclCPhkowvtx5WIAJvSw6XSkb/Nyq3fUGZnSPR9KhtLRUolPv2BsHFvTitXIVp8DdVr6sX7cO3Z6hsrsCnOoqfKqYDT1vtuLTBjoqITTDUmDCQVqPhEL7OfA4yj2axfXoQzRKBc3gf6I7zFM2oD97/9JLhJ5K+J56VHGQG536871YIHhcsvjmsY3oos+dX/aBy+VphNzkRfcKiz4ky0AlCgb+TUltQv+crV4dBZ4SZW7ZtRk9xy+c9ys4/yb9Tl9+9G3GlqfV11CJpD7KYf5t6M23WqKTwUfEmd7UCaAfCm3LXwDfZ/X6iJ0QukOkS4kBI5UQGNzcvVYEnY0mO+MR+L1lOutCUfSjCkFBDExUgmFzwIyROPrxW4tap8G5Yq+F/d6OHmDB+7sCfLxeUCBZEl1t8WMsJzOVoGHSqVHbia5Ur73JBVzxxR+r0V3oUmyWNxvBB3T3Md2UQl+RExzbupZKhNH9KZHaQzrfu7G7fMFVD6vbdsmge0eWW3aAu1zh5POTRY93vXVRkoVK9DKdfc+/Hz3sDn/wFfAsJYXoejn0fgtbjwFwx8BIQ3sF0j4L2h3dxwpxLmPFx3oAvUhJlDsK/F1p4XCREjrL2oxXo+AeLhefmqigXxoetlFdRyWWymuuLaqia4hPfE0ApyxetH6ght62q+zkD/AfCQUqGuroaUZ6FTpsVOL0rLHAVw10l1+PVlPB613d1kRpoS859+/5A8567u8PGR3S727sO2rATiUSji9QenVJ534szzQXnPeWdae/Hrqrp74uDQeVyPaTfyN4hJQvg61iZuA1/hdfvzqKvmta5HsRuOKKaJOzPvrM8vE0pvVU4pitQiuHIfq0kyNhBZ7MXdJTaoTOdPtkczm4oF/MsLkJ+sF2aWV2Tiqxf/79/KopelPI5D078Lu/LqzLPEFa55qokefgTgO+2w+Zo/+t3LSJewOVkNjYr/39JHrGn1gFF/CStYnOd06hRwovqb8EPyRcHKtwGv16nInCJi4qEdks/GLQCv1mQRqfO/hl++kfV2xIdax5ZPg1uL89u5iELakO6Aje28pNJQ7Lhp5uO4uuHn5c6QI4u8LRZE979LiRG01vwLWGHCi8jqT4rHuuKrSRSnQndorWOKEbX5x96Au++ibi/BkXdJtzO763gduP3a5lOoc+sOQkLspDJdhODHM+dkMfu1py6BK42c1AJyN39JazjGYd/z3/3ebVbw/0iRUHQ3Fe2LeZCLEUL/T2wv79l8Hj/v29oe5NqrcfLNd0gnfdfPxz3Ae9vHfhxXY+KqFJm24V5Yd+ni3HLgA8prO3Y+8l9NMD7gud4GVuetp9/uhPHh73lNhEJfi0l14EBKBX1pzsDwC/3DKuIhKEPhobtLMLfI0ze11zMCnegpscJTZTCZmkc9puV9B5vu67HQA+2kz/nisU/aHkm8xOcBuXdqtnYehW2Tcytm+hEjq/3v08fY3UB194R10Gj++iuclwA32qJ+bMe/CiIFuxRzdJ9erwoLA4P5Uwdplv1I9E/xls+e4SeApLmeN8FHpoH5ddOzhH58P196PRnz6lGxfZSiXC5Sqeq90m7eeFXSZ+4CqPF1zHYkn17fKdglbw7nxLocg4dDGpAzOC2+C8cif7ZRLQ734TFvAG/8qXnPAhEV2G10CxBfzyBfcTAUnojlyNqlsFqATPXnt+kfvog+oh0h7gMi3+o83J6HrMN1lfgWc+KSpxe4Ae8Xqok0+QSmTY0oRyPySdy9C1MFfw1ydczavSSP4sRKQOnJbp517rDPQ3pR0FXEJQDyej1zNmkfrjfl8hB3CHy5o/87PRZVN9Q6rAT8ix9xnmkuqDaXcrmzDESey3+t956MrPo+ltwD+tGyhKyUffLl8gVgp+XmAgTeMxuu6OXbJMIlRCTHsycaKQFM+LnLtOgk8tM8ZGF6OXrrVe/xictU46Zn8J6Vxq+Yb+ge9cZxs78JRUBy6r3jcSpRJGp1PvhpShb8rrOpgFPio7nL69gjRv5H7s+g2ezbL7SVsl+i2KqaGeGJWotPZv8Koi9esnOlXJ4PdKW/s3PUdXDC9h/wG+M0xg7kUNKT7r7x47KE4l8gw9N9i/QD/RsnzxDvjjpIZ96+rRk+k+x4yCywxyWpS8ROft0rkjv51KRCRbhJk1ovs/lA25Ae5tlvp09RV6Ukf2yQHw5dsDo5lNpDxtyRDYLQF95w07/+EWUt7N7OoIBOcOlT8++4bUTx9runaAp6uZxCW2oovYTf8SkqQSb67Y9qq8Qw8PlHTwAvdts+UfaUcXsl561Qj+M8PY/uZ79BR3u/U8O6jE0A2Z0j1d6K94nLUdwNXpl9d86Ea/+ozVsRLcP+6JRUAv6dxfHPFeuxPq9kuDMpE+9PkYabeT4M2cfRve9JPqXly5UT74BWbtC+4DpLllz4jwMrjorqR+nkH0je+qKEd2UQkW+g71Ggr6hm7l8BTwF1wTRbZDpPN95LrpO/ju0S+CLF/Q6yqP3FXdDfG2Wh1fPEzKCwcqXTR417gn+4lR0lyxbbs5FfyFBGPEyhgpT7XE70tLwVx36AJr5ldSHdOiNgeBN3RVR+tNoh8ON/nSDv5Cf4B39hv6AY/r4wLSVOKgzvuMxGn0VLeAvvPggprJsqo/SHV7fH/ZC/B7HQeaRmZIfVCzNIBjD5VQ880/HfETff/3vzJW4GsaphZl5tCzj63rLAQ/QKzc7ZtHr3o3abkKfs13QCnoN3r3h7s9R2Ugnn+HfRFbRL/QxaeYAv73yFJk6190+Z3nrk+Ba9EfUPJaRv+oe7dBaS+V+JejNr1pFX1fQvLkTfD0ZraMun/oKgGXV/rBWX6lnnKg7cJzcTywLCFLJVzL5jex06O/qusb8wU3f8A2UMqA3jhrXvMa/JXyWKoFI7q7XV3Qxn1UYlEg0JGOGd04nF3qLPiDD1378taic7/Qbi4Br/o1ymDAiu5zyeUY7X4qUczwtG9hHbq5SFCdPviB+4rFKezoNaKh2x6A++r6RWiuJ/nEZccp8E8p55y/caJHD7o8OCBHJZR38x2N5UK/7mJcdx285bqPrOJG9K3/9r/rBWfTuLZ1iAe9n56nWVSeSsx812W9xofuOjr/2BO8QqBqefdm9GSOvqA6cDqn/tnuLegG32tV2BUg/k9nTfpvRb8xXTBuAe4Vzz8uLIBudzEzIA88O01lvEUQXWg1598CuB8f0zd3YXSer8/OaSpSCdNo35+8ouhlGZ+aboOvSY5aqRVDj0vZwE4FL+zWWWe/Hd1S/bTargOwzvbMbWyS6AOr9acvgmuIZuwr3YE+R6g5vQZXdzp4zGIXer7ngBWXEpU4IxfoQieFLsiQoG4NHi1iFpknTTovG0/Ox+C8LW3FBjLoR/94ti6C338x2Pd7L3rH/nte2spUQvhhOEPqPvSca5OMd8CZGJpkteXQAyzsw6ngdGEp9tPy6PwC63/uVKESO2qYU+IU0e3VJg/5gU9pM31QUiLtz+7fUY3g3DWJ3MPKpPgxUaxdrwpxVVVpelMV/aPw04+nwCMHHO/JqKFPMTkM54IrVGd/6TuIXudxom8OnHnBXSpYA/3Lu/BnagSVuCXxOmC7FvrfqN/hkeAVPzI73mmjN28tUOsDf/eVdbuPLvqu6ewxETUq4fNkMXirHulcXCb9zoM/GXelNB5Gr2C8+LsKvFfyLOF6FF1U2vQM40G4V/JQMrj00UuMQ54ZgnMd7WetNkBvGf63nAye6Wrie8YI/fuxrl1fwTdtPDa21gS9mmFVV1Yd4mSs0eyJKfr0hSuGgeBXQiremZ1AN+Ow1W4Bbw4X1aUxJ71fI307twaViE1keZVzEr38ivr8aXAXU0ct/VOk81LSLsoDlz+j3LJgiZ5ELTKdA1e0DjN4YIVuSAn5qqoJ9fbnwQEtG3T/3FqHG+APqtydps+gZxU6dnWB61quX4o7i37F5srObVqQjwECMcr26L0y7O6O4B9eJEuMOKCHxrCnlYALNYc3RjihR34Pq10G11D6ZCvrQqr/NT7N2tpUwqD2PuOAK7r4ueHaGPDKhYaCK27oiu7v0j6Cq940Pr7DnZRf8gc8RHUgvwQO0Xd6kOrAPsndbuBRFhlPL3qR6nN/Sk8FeMaYtYOQN8kT7znT6sJc5BC8rcUHvWFIaEoPPCWMpt/dD/2FuNzJOPDpr9QEvkuk+BzoLx0Ez1bcalbnj/7Wg2NZ/BDcBwUr+B0D0JUs+qXdwVm1C0Y4gtBPsRwweAb+03ipqCIY/cGsrCWdHuzPr/RAqyukfb7acvwwuFl7mgFTKHrr3hXlOHCp2wtiRWGkOuP5nmMQfGw4dfX4NXTTUt12scNQHzyTP65eR3d2tfN3Aw/9Ovks+ya6I9sO7grwm7M3ko9FovuxJCX9Ay9V9LuyEIXe11vKqnsE5sZzpS4PotFHR4OcY8BjFFXMtG+jb8hfLusD332YU/d7LCmPknZ/FzxKJRr1pZUS4tCFxTdyOYHvnI+XUU1Ad2soE30CHjOhsXMsEb1wlFNkEdxvQF7iVhJpnTS72A8eoxJNF90l5O6T6tt1xrHr4CVeUzspyaRz/JnxqAP8nd+jveEP0CnFjKf49KkEvWKestRDdFVFmb9W4Alnxw/1ppH6yD+xsBxw8QLbk4EZpD57cXz5O3h2Hb+beBZpnZv8bOQMqISdMWfYu2xSPTn+sSQAnIVHLdUnFz0+c/1sI3hcVc7zbY9I/cVvK/86Qypx+pf24Ot8dHkd+n3G4Dxe/LTnH6NLhTcq3ANvnhKX4C0izTOPbHd8Bu/msjN6UYyeIjnMLGFEJebv9wQ5lKAP+ml1u4EfVPQt5igl7QNbVGQZuOBD3ZGKMlLcnn4uswx+Ikx3i3UF+kVqT4O6MezzA29T5mekvGb6pH4DPCH1XWxxFXr3kfeF7eCfCaMus+foL0UrmXhMoJ7s/8dDW4v+aM2do6fAr+zvtsx7gV5rdzY4HXzXn/Ycw3rS/Fkt9fAruMy+2bnFl+htl+cKpEyhH6XJaaU3kuJQsDL7Anj5woO7eq/Rb2+9HFUFfmha4sfPJvTtk+o2NMepxCmVLt37LejKK+zC2uDdqclZGm/Ri9u+tEeA/2i7umaqlVTnO+uc34OrhVxzjHtH2ocr+T95TkD+emW/U+5ATzXNcjgFHmNFlR99j27xsrglDfz8vz2ZUV2keqLWwTcOrs1+j0uuB/2fNqPpLjMqYaWzKZzSiz5x1DTQA/yU/eOl8D700tYXceXgB7abXpD+iC6gpHt3CVxXm2PmwwA6LefsdTVzKrEn+KNb8CC65uvn9mHgc7fLZiSo6LOdj2XegE8opHq/HyLlXdHrCfaTVKJ+b8LKxS/oLF1ro43Bg1WSrguPoC+WXxS6Cx7Om8PzdhTdpIsv7RP4taDaHK9x0tz7cIJNyALmqH0UJf4J0nye+N3BDnxlnqGrcRJ9354dRXngsVdlzp2bIn3vyIPhafCTKWdYeL6T3r9Tf83eU7B++sRHtT9IdSlIhdsHPNS37ajDLPo3c9f1VeCVzxjmOH6hf9pLWVwBb41QSqmcI53X1fiOg5ZU4mqR+yGbBXTb13FxYeDzY+l/1v4hnaMXRasF/O5cx6OSRfSTa7xH1p2GOn9/0cpiCX1y7qS7AXhfyhY+hhV0ruexE3fA19Xt7ypYRb/fvc3gA3jCK+3bpjTd/3erStrMzVZUIt7zqNEqLbrBZ5VRS/DQCF2eHHp0/5YerjRw2R65Qf016DTf3kqPgDdw8+b8YUTfXCesuN2aSpRxfPVKY0bnafgk7QzeF5GroceCbum2zPUY3ET/BM8vVvRzyqGjP8BzBX99u8+G3pfjk7nXhkrkv77UqMmBfmRnr4E3eDjzdOr0evSIg1mTFeCVj3UDEzaQ3m835vEXnD8w0orgRh/mTB5TPkMlBg9WaHzdiP6rvlk3CDygvmnHbV705zNud+vB+1495z6wCd190+0eelsqwccXTzu8Gd28QoZGG7wpRH82gh99QMuY7zr489bJ4X3b0F3U/mx9Ay7ZYNc/KICeJCzCue4s9C/pF+/DhdCZHXtnj4L3fppvlRZB947krosGF01gftsnil7EOuT/Hpxh+8LbEHH0NBslMS47KqFvUdO+QwJdm0XyuQm46r9TvV2S6KUh+WoJ4IbULurlnegbNV+VfAB3bhacEtuNnt/mt2GTPdT5a+pL76TQ395rtjoJ3jApz+a3B31ke8W9++DOL/4JCe1Fvzir3fAJnNJ1V/GNLLrwhUv9Wx0gfhZoTbz2o0fvMhk8Df5wQdGDXx79WmLvu1Tw1XTi9isFUjzIMBQOgWu+5Sx1O4Ae50e9JOQI+0MU9fMqo2d+dd5/BtyonYeuXgV917/cwXTw9sM6u50J9DOKyV7D4FlhhAXXQVLccuv8FnGCe/Gx1Yjn6ugs7AWOZ8Gdfa68sNNEP5bR1pQJXtbxZp5dm7RvhoXco+Dc0r1SlTqkuEo00BdzphKMZzOcbQ6hx8+W+9qBO6jL5LEcRpeiDEdlgVunBE4+PULK64H+26Pgnro3pSyPoavb378q5kIlvHmNvRkN0GtXdtjagUdRPtQWGaLnCkTsyQJX8+RlNTdGV9Cr/TYCbpaz/iSdKXr50us4UVcqQWv8Mj//OHpYSc7Os+DlejtpTM3QN02fKc4A1zqrd2LVHH1Vckl4GLzHe9uTHAv0znHPq8LnqMRH02w2Q0v0w1mt723ARQeGXP+eRt/3mYU9Dbz9U+u7DGvSPm/eozAEbrLXSfboGdK5tKsaCLjBvP209N6CLSkvghWPnwa3UChkeGiH/ilfWC8F3DHJxOOQA+n5juWdn8CdirKHfjqS6rzbm6XN56mEh3GGUbIzuinDrWfm4LOnDzVpuaLTb9CzuwuenZ+o+uMc+hQP7b9e8CyuqMq759ELYsvCN7pDnHtI7Ff3QJ9ncF42BndJdSz95ol+c1rQOhZ81e+IXPwFdM3WT086wM/1d1ap+qBzCz2cZfegEq7Jfw9+9UVfcjkncBSc8cHLt7cvonPu1lGKAE+okjRT8ke/MiKt1QLe9k5qfOQyetSGHSpMnlSiuKLD71YgaZ3yCiJa4DFG7GwKweifu079vgK+LWAs43MIOofjvWd14EYbzVQirqJnXfjltAoeuGjTvy8M/eglZ2ZlL4hDZno/Sjh63SJt/EXwFMEDm65fJ9VDr+ccFeCdQow1MjfRTZyS/ebAA77Z2Q5EoBtaZLbLXIC5yNJsXVgU+rs3vdznwQ3MPlVIRaNPKsjpFoAffT5j1xdD6kfir5wmwD2c43iuxKKPbQy/KO5NJf5ovG7ZGYduf83f1xbcfUdYUE88evtyju1D8Mp/7fJBiegZv9lUB8HXZGf9lEhC910sYtzsQyUG/jEUd94jnfvVmJrj4NwzU+cvJ5PWz1dy5g54v/mpveIPSPl+gHehHTxP0Oh3eyqpLzu99F3nSyVMJdpqL6aR3iNRPq4LvmTSel0kAz3275xWGDh3xDHTtkz0W9YhsfXg9kVGor7Z6BsGLdtWwNfmfJgXzEV3+Bm5oOgHeXriU8ubPNLvCnOy+4BrZls9vJCPvm52iqsEPP+i9cVtj0nnSxVm/g6+UjFo0lxImt/cyyYlL0Je6/Tu9Swm9WXxnGo78Kj1h7j4S9CVw/5eSgOXWNy38OopeiV7icQguMvE3YHzZejrtTsa+S5BHWvxathUga5YeELfBHxPSOPjhkr0g2/0mqPBHyzeuHeuCl1ra4H0W/CYLQ03eJ+j++0IDGP0h/tLh5t/fQ36Nu+GloPgp2gjz7u8QL8dHLh8Gbz07ib7jfXoKh1PtlaChwbzWL14iZ46brX7F7hZRshJp0b0Q3oRO6UuUwm2KXMzrtfoFH85PifwVq0HZjVNpLiiOfsrA5w7+aiFQwspf0/y1FDASz/aW3O+RS/jMPDeFAB9YfqrQ3Ur+mg6F78JeHd9p4fdO/Tjd22f3AK/oSESyNGBvuWC+v4WcBrr/shn70l1vqokhz4Q5hmGuRTbLvRTP8qZVcG3Cng+YetBt040NPMDD00xaqroRW+VC0soAd/hFke16SPNb0YmDVPgVUFyf1k/otefq6eIB1EJqXp53vIBUh1gb/9qHfRfvUqUsx5Ef1oZ9PkeuOZtYzMWKmn+me1p7g76777scrl0CF1HpfsBezCVuHOKmn76C7qaUICtLrhKUsFb5hHS88JdPFfAj2V3LpSMotu86qusBl+4YCBqOU6aN6JjDs2DVyyImjBNkOKBcaVZKgTu41v1w59MkvpIoaC8IzjXQFuVxRSpjrGt3kkD1xR+OLvmO6kf5SVSP4KXjTbuKP6Brso4s4n7yn9/J1KyPzlLytNHazWOgv98TJvJ8AudlX/8ZDj4hyTekcI59BnqTZsX4Ds6/MXNF9AFLv8+/gec0NrtQv8H3dlHWknmKpWont5R8ngRvdhkP7szeFyt19KJJVKdT2btSAdnecyoQ7dC+q6e0uAB8IrCL3EFq6R9uyoryB1KJS4/Yxw9TtPzf3+2+2bhEfDoBg95Wjr0uyerd4aB+zQIR+bTo8vFtCTWgNMV8w2brkH/aVLxcx7cPNhImYYJXUn6mrJUGJWY2dme+IgZPS5Lydse/NqjqHkTFvRo1Q/JD8Dl5yJN/7Gi9wafetoLbknbWpHHhi7wq62SPZxKFL05xG/CgS7FL/VYG1zq0Jqrq+vRh68ExQSC7/ZZ+Za7AV2isPFMOfjhwzInjLnRl0VpRL+DX3qZ2riyEd3ZbV+32DUq8bdHZ18uL3o851kvy2v/7YNEttEm9ML427Tx4D7P1TavbEb/E/IisBU8OCw6JocfvcVyZpL+OpX41cu11mgbemixuLYS+L2C1qvLAugZtHYxnuB36J7R5AihF/Q9bskD1+r5EGQoQjqXGvqfQ+CuQhK0y6Lov+Wc1vLdoBLsI7mh2eLoqW1DHPrg4ZvNWQwl0FeZz60JB/d+KR+7JIk+575+8jl4d78Gf/ZO9HNRbTW/wMdPX8412I3uNpYdvOMm1A2DIbklKXQGhtS9NuDPC9yasvagG7lVdiWCR3uJnzTYix75eN72HbhiJuOPv7Lo84fMhxkioK6qsodn7SfFw9tRQyXwW+rKAgby6M+rU4o8wF8UR1f9VSB9V9rV5RzwzhtMZlkH0HmY7ilQIv6bY9N/6yujV3gN23JHwjwcYp30VwU9xP1MoB64YDqhkkWQ4jZ80/VgcPZ9xLD+QfRwFdaQcvD1iqcj/qqjOwgccJoCf/r0/v4sTfSq0lw14Sgq0Zu98FlfGz0g3JzJDDx9o1vMXx3S81v1a6LA79DTHsw6hB5DH3mmAdz5QuEv/cPou+o3/P4Dru7qnfv3CHobdfSS1C3Ilx8mVlnH0Ou/Mn23BW+gO8JnYIBuZ+dvkAS+Nd+8668h+g6qevo78K7pyzFZxqT6QLUepo+mEkEdpfoGpugiMx+4FMFZzGk4l46j37j3SNYNPCfqdHeWGSkOHQfUM8AHLrxLMjhJqkvDrgf7wP026tssWaC3xttIs8XA/cWHuiPbkpS/zM/XqYPnpgYuGFihMzYF9vuA297d2bhkjb5kXhCfD97mOHon+wz6yGGdg0Pgypvy7QzPoo+JG33ivk0l9Ev8FZft0GW82+0PgS8oH+fIcSDlS339UAC460vFcUMn9NK4nXol4ApHxOqXndEfXuLIGAPfO8KbkuOKrrhy/tvmWLgfxa33N3JDp83RF9EHv+7AbrFyHv063RO9q+CcjutVcj1IeX0vwaYCXDBto5CxF/rZRTrHb+Bs27YyrV4gnfujP5YCd+B3J8V+5PqQ4lD+koYx+OkN0v3Gfug+u27yXQOfSZN/tXoRvZlr52AVeHWW6tM8f/Sbfla3v4Mn7NDIMAlAfzUquV84Du7XKprx/wLR741FNpuCm02p3XgUjL6fMeLwDXBXTYUg0yvo3e3itc/Bx40lfWlC0RvfnRGcAReR5PLID0O3vnXQUySeStR0zrkev4bOfe/V0+PgOVZtzrQ30M0DZkdugPNT7zsX3ESvbmhaUwP+0NrK9UQkaT1/9HhmwJnmeNzpbqHr5QbwiCTA/TGv3vtxNPoHyzOMx8H1bp8OMLuNfjBrafT6f/58Kpz+DroNy5Gy6v/eo+QSWxiHvmXT8QvfwbkE+1PNE9BtLflFhBKpRIv//iKGu+hqtmn1xuD+1kF1RUnoDeXj+uHgp4fKuk7eR2cfmW2rBJ9h6/u6JgXd2Pel0jfwpaWRf8UP0LuWLZK23qUSSTUDfKceog/Q1I/pg0vaV8sypZPynWNO5Aq4xdqrBiUZ6Jzlvw1KwXdUy5y3zEKXDH53bgz8Y/TraOYc9OS/ly7xJVGJ5ftqJU9z0ZlK/vnogbvMPeg9/Qh9vayV7WVww8Kh5bUF6OdZkolCcCEqg1jZY/SpxkrWIfCkZBZ96yJ0ix8VTZz3qMTL5ZlLrE/QH/Ake2mA/9xYkVtegp7f5MDhDf521aLPphQ9KHrr/WxwuXeUtWzl6NJLL3j6wF3uq6pUVpDmtETDK2vvU4nJgEuets9IdeZn9+AB8KtRt/PYq9Hf3j0i6Qp++MuVL8+ek57nrT6bAp4dd3SrXS2637JwzDvwgzUz5uvrSHNsd3j+P3Bub5e71fXoH3dPlO9JphJnep732TegW8YfKbEBr/k9vHnDK9L67z5NiQX/M089XfOaNCe8ErzYAK40WZTp2Iwu/yhBcy75v/9zM5rieoMe0cVLI5YC/Wtb8/4Xb0lzYHt2vin4WBx7iHMbuu8ubZ1wcG9XsXcb29Hf+/7pLAfnr2fdWt+BXkTUHRsHryqsO+faic634WEV7wOon4YadbzdpHwMuMejC055Fcvd0INOYS854weeLFHo7PaBVCdNJx7kgjckxL3c1I9+hqr+tg88b7cW/6uP6I8O1I8zp8I+sLzwdf+EXjdvP6cAHnSEtmcLhRT/qXKzjuCR61n3NVHRFxr3Uu6CJ3oPxHl+JuXFgmV1M7jtPY/fW4fRR+uqrv8BZ37QatEygs5Velhb4iGV+JT6rf7CGLrWaa65E+ARL9okBb+SzvEYd+w18FV+zztvJ9BLNhgKVoB79X1Y9flGmisOtD4YA3fasOoiPE2KW5PrbDxpVKLk2/DHtu/okz+uuWqBW4ddP3xxhtQH77dVXwDvovlWI/oTfdOYxVIGeFkQy96OX+jiVvt3doEviozl+M+jP4k/dZguHeoPR4DA9t/oM3zdFjLgFLt3dzv/oIv5PThlDd6j288V+Bc9Xb32aPR/PpAcI7lMqsNMctK14GrqfBw9K6R5+Dgz7TR4fapedPA/9Mcv5Bu2ZEC/4JPl3EXb+3+/8P61tx745o6OuA906ENbKvkugpd9E958lQE9Soq9IAf8W7REmhQj+q6kt9K94J2fhyQ/MqH7ffuZwZAJ8xXj4dKwtehKZeHMsuChovZqMqzoeuE3LG3AJ61l3n1ahx7+fSU9GlzxS77ldXb00YCxvhrwhXfd32XXo1s3av37Bj59ND+Eyom+xmgbz+YsKrEvXIonggt9stxzqy64RKplgdxG9H1XtTb6gLvXyWt+4UHn1UlayQBf4nw+GMWH3hHr3vsefLV6wk9xM3rhQlvqP/DlsRcbR7egs9CXmu/OhrpRrVIasxVdV1eMwQL8iO0ZE2UB9E/HRVOvgzMz7V4YF0TXefF0Rzl4TEdy0h1h0jo39GYPg7dNFKsSoujD1CguzhwqMXvZcXRSDP34s0F3VfALpS+jErajC0g317qA81XXyqtLotN26q/cBR+rthie3oH+Zq/vrtfge7/cjUnahW70Re3IL/BYc29CSwr9ikfRKcFciKujMz9mpEnx4PHK8ii4zTfm9GQZ9ALPMP1L4E6na011ZdHLGH/K5IA/6+JgnduHHljLtqYb3NRvuT5VDn33zoFmmjwqEXLx6qXDCui/Bk8F7AZvZ8jc91sRndMxXvgk+EZdy5l0JfSuk9cqw8E9PAofH1NBj9bZTzwF1ytKcP2riv7oRVo5Ffzono27s9XQE0zat617RCXOi0j+MFRH70ys81UAn654X7KiQTrHzX71Z8H1trL75Wmh25z/sxQDbnB1UNVUB31WXHN7DfiGzQQT7SF0ostSYwL8K+fe9wV66MyMugYb8+G77pclmx0h7YPhmmMHwRPHm50YjqHv0b6rfA78+nYXhWJ9dC1fev4k8MrI+8ynDNEP+ByaagQf1jX/yGSMvrbH9fEMOOutjMdPTdDLxdyt+AuoxOVbF69YHUfX/2tKpwv++vJHM1Yz9LkRwQQv8LqIV3sqzNHbfLs2p4Jf/67IYmuBzq7lHvMGPKRPbpTdEn2RsrgwD24eUF1fdRq9/4PnMaHHVIKGsynV3hqd6eVgwhHw4iazoA1n0L9Kq3T4go/2nLeutUWffnrnbzq4ozurhrMdeuzQ8MZ34OqtO7bzOJDqm+4e4UXwxm1t6146on8L8BcQLaQSN1Jmf51zJsUnVzObPrhrYOKnTa7oDcl80xfB7/yuef3qHKkv5J+vyfzveeJsicd59LzO9sB28IzIG6lbPdBls5Rk/oLL8Oy+1eKJPlFW1i1aRCWMuI4Fel8g5WmimpM+eET1t/NCPqQ6P0j5fhE8TXuNbZsvuuXmO3aZ4DlTSScuXkRX/2zV9g58ZjT3qJg/qW680hFfBOdykdF6fxk90fyou0gxlfhVulc1IBDdRMYr/yh42XK+gmQweiW1+oMveKN/8r6eEFJe/JGcTwPvdKHfG3IV/TZbHX0reDfj0J7dYehFT4PpF8AZr8nI9IejvwpwmxN4Av1O/PfesOvo2v8ieg+BawvtkZO5SXrP24E8L/DtTwYODEagh/lYu6WAUzgX1W5EoZ+6wy/aBE4XdE13fzR6T9mGtzPgbvvCDT/HkOqPh5bt5hIqoek2ZxEVi256smJKA3zC8b2DYhypLtG7OJwDZ7Xh9x6NR/9Ia9uVAH73TvfV24mk8/qatqcOvEll8Y5KEvqU3o6gCXCOlBtZE/fQG2tWazc8pRKyP0Ir45NJ3i00owS+33Oy9eADUh6JJGywA7c+++zLdCr6MeK0+C1wgmF2MSmN1L+qL++sAM+KidmgnYEuuXNOaAg8Xzdx189M9HmRprVrS2HedmHQfZCN/lDxzxcZcA3FD2f1ctHP09x8fBLccpb96kIe+tN1QU5XwQW6H6Wn55Pi4Wc/TwH4b6FHDcceo7PqpJR1gydsWTf2txD9T8pbrRXwBdqOtTnFpDkn0qFJrIxK6PPMSxmXoD/P8jpwDFzw3iXTf09J/Sjo5wMfcOl2q4D8MnS3wrG5B+BBvzOyT1SgP35tpNwEbmWq/Z7+GfoWS0XvH+CWO7VXiqrQPRhTUnnLqcSx5+k7Tj1H9zkRXE2AHzpsYc5ci/5vZLTZATx3y/kbpS/QxzQ6mqLB13kMVlnXk/rRWvXKCnDz6KzpdQ2kOtaico8KXlr1WuhZI6k+b359jqmCStyUVzth95qUF9GDe6XBr+tx3uJsJsXVi/CJ4+BpCoqva1rQnYjG24HgrDoV/5zekr434+7ObHDV6psHeNrQ5UIYK9rA/3ws8Xn5Dn3m3Pp98+BKU1Klbh2k+rlamc5fSSV09q/+3NyJ7tpCR68JnrMsINvUhd53ZsbEBVzkxp0LXj3okdahd2PB3wiZVQh8QF86Ud/2DHya7dzS2z70B5S8uSFwwfj3an4f0X/fUGNjfgbr/Bd6TfQT+p0f13ilwU/Ehbd3DJLm26wrXMfBu5N7+AKopLxTk6UNADew8bCV/IwudDx5KAO8eId5Uc8XdJGAuidvwPnVI5dDRkj5opd+YRb878zaw1JjpHM00ZTkq4J9Dn5/7+M4uphMXrsq+BrlL9/CJ0h9wbvLwQ7cyFVJVfYbOkflq9kI8OOnPt2mTpH61K0r50rAG483jkV8R1+4tW6gD/xu9k9lhRl0e337A//A2RPt40ZmSedrFxshVg31x0tgOuYX+l3HO+8Og2+7zq+jMo+eNO1C7wnuL2iZPrGAzh+xbcdd8DU3hlbj/6CbfXisXgt+kD37lPpf0lzqyH90BHxluaD6+xIpj3pcD7E8h+fT57bcX0GXfpomvwfc5vDlAJ1/6AZJNbzHwSe1NIZ+0XzAONzaMOEPXkLV1XxIh678ofRxGnibfWTeEQb0FYt42ybwWEm29Ytr0FPVHVinwe/7vPHNYkIvFdqdtaGGSrxMbhgyXIveEz2xRwFc9NtvvVUW9ByR1EJLcOEn9uWP1qF/9DLYdhXcTJVD5AQ7uggvTXAu+OMvMzH069E1M4u72sAPfmehKeZEZyw5u+kXeMCTU+6nuNCJD9sM+WqpBH3A6Gfmjejtjz5fUgF/mZZpUsaDfrehKOEMONU9qdmGD/1WZUTmNfBmpQYV9s3o+YJ+mQXgEiZCpVVb0OdifRPeg8+wPt3psBXdIzvy0gL44TLfTC4BdNWfzwy2vIC8S3fbVieIfpGNbpMaeJt4YpKrMLpetEPXWfD4uJmNm0TRR9mng26AqxKX7rwSQw8Tid9WCK50SXaD53bSes6eKeoE10raErtNEn3B8cTe3+DGMzJcb3eguzT75Gypg3jo8o733YUuu7mBXQ08MXGMT1QKvWJe1fEsOP3tqykd0qT3/Jx6eh28n/uISIAMeltO+2wBuIEf8UhSFt3q8YTQe/Cp9ZZ7e/ehl9xT0ZwHt92XWX1FDv000zuzTfVUolyBW1taAZ0pIsVKBVz4QsH7AUV0w5pCMxvw7Squp68roc/vZ9AMAw+ZNJrap4JeEPlQKA98b5eV/2dVdBXz8NlWcL9jsay31NB9ZSufzoB3PZ1IPqCOLvVUwZH7JdQNCzvpcQ10LXcWDgVw9mSGhjta6Fl0e3ItwHe3vz6hpkOKc7oC2SDwsSP501O66BxMIU/SwRfOPQlN0kPfnPdE6DW4TUQfv/YRdKdgtdAJcPtVgfKfR9F5xPb0r2uAe43gNYNUfdL3Sl8V3POfH2abOmyIziCvfNIY3K7/yfU/RugPui3DfcCtRS+IZ5mgqz+czEwCXww3fmV4HH3v3tGy5+AzFvp2qyfQK4UNnlHBtVbtGfPN0bezSBXRNVIJ+Zak3BMW6J+CQxLFwLX4xg8zWKIrCBz11AWX1jk2U3wa/VHAHcIFfObJu3hLa1Id23fiXxT4/5i672iq//8B4CUrM2VFSUgZkZVRNoVQSKGyKZERyY5EKqsQWUlFSIREiYxEWYkk4yJFRIps+T3f33N+n+f738e5531f47muc+71tuT0fgZb9Ce9yU8Liec85h4utSPdI4vNsY/gIzMDkXYO6Ms2jyf+go+OV+3dcBr9tPuli9xv4HPfZMlgxRl08fbeaSXwCfOqKKez6H+2vbU9Bb4zsl+J04X0nD9qdZfAWb+y/ag5h64zpM+dCd5bYZbk5oZ+PGLCsg6cxqdIZ4sHKe8CdyR9B1fz5FtsOI++x2Kulr4e5lLm1McXvEjn9txhSBR8/qGotYA36XwkPKf1wblSG9lbL6LvMhOYcwW/ddjnnb8vOnPzhYlY8KP8e0N2+aNbCLt/KgKPdqVS7AxAZ1/ZVNQBnp/c+zskiLTfMbvgWXBzmro8iWB0pqu26txvKaoBrGWOPSHogS4b/yqCq/GUCUSEotfJeKecAGe6WkuRDUNn9I6VDQS/8rw7bTAc/UaT3et08GvMiyejI9CvtP1ReQ2uMS64dd91dEVetcJBcIbiY/0jN9CXtA3Z1zVQVIPf3syIj0LfPrbNWQg89EaHnXoMOv295yXa4GK2fLsmY9G3UHP/dgRvf+I6kXwLvf6xJn8EOHNnXfHBePTLssoaOeBPFfj9ZxJI9VmW7vg78I/KwZr3EtElDz6wHAev1BlmMryDvpeGy5ypET53Vx7qWkxG96O3PbAb3IuqNDM7Ff3O2FVhQ3A2fwG3o+no+7RvLLiC74yK3b82A31DkWtVDLhC+irDk3voTe9kfQrBGdjdvljcJ8WtyIDgB/CUo/25dA/R1572rPkNLlKvH1CSRYpDvt8mG99RVKVayw1tHqGLjZ74LA1+9pOQAEsuurxV6WET8EaNqNkXeaR6u3XdC0/wK/5/3p/OR698qcUVD844apLJXoDO2xl4uoTwqULf6kJSHVj3NLcD3H2J3ti1iNSvKQMDM+A250+I8ZaQ+j7NBgaO9xRVrVfZNA3P0MeZ1YXlwF9oTQx4PUc/GOctZwqe7SH2ans5+kvJYvkL4NvzbZJbXqC7By6IJ4CHW8f4+FegJ3PqczwDP/u3+PiuSvTzCflTHeB3O1vkO6vQleL5q2bA9zpTuC9Xk+49PzuYvYmi6sf/bVGilpSPftpysuBzVpS+njpSHCYu95qAe8Q3V0fUo3entl70BB/dVZAl10A6T+FqmjjwuxGhkUON6PHNH8OLwJm36XnGvEeP2M2w9AH853GqE/ubSXk94Gj7G3zP3TzNHy2k+An5WbGhmaK63kZ79+029MKcNIY94EPrW7k029FXZwIOHQY/Tauzbuoj+u2VyEuu4AG1Bb9SO9E5LNuyosA1ntD06Xah73iqW/0YfJOs7vvZz6R58uZSy3vwmBrfF/e/oDfcGW0dA494ezv3SC96u/2muvUt0Eee3k1Z6UM3jwrK2wXuMREXlUshnf8T8fCD4Irj54OPD5L6si3/UUdw0c37vai/om/VOskRBq7zffLM02H06cmhxvvg76qvW1p+R09YKfWoAZfgZTVlHCXN2ww9TIPgQrb++mU/SPWwyChlFTyVtlXLYZw0/0dt3crXSlGt9VmvsnGCNAcqqt/aD/5vl6hC1SR62uGqRQvwyat7ZFym0N84Jx/zBT9Pu0Vy8x/0kV2dDxPB73H8FKufRhcSOD/6DPyDcIaI51/SXPHHk68DPCZPfhf/HHqmXN/BP+BZHEU7m+fRdcML7Te0UVS3drHs8ltE77k05SUBLmNrILJzmfScV3d99MHtRM6Jdaygf//y2u0suOPdcxIhq6S+c/6YRQS4uLyhtMTaz5iP2+0UssCH7Vjke6jQGUJ+rK8Dn07K3x9Bjd68+2fLIPiSrpimHC36n5pzV1fBe8bC9YboSN7jLrP1A0U171eVccx69APs8+1KH4jvG3ae2M+Ifp6O1tEMPG32rcMPJvS1Rmk/L4CzDyW432ZBD4587RgHLkitGqC5AT3S9HxHIThje03EFBt65cFnci3gKtX8t9M2oVf8u3F9HNzjoNkDPQ50Gc6Fdvp2uMcvZ4rnONE/iqyyCINXThnVPuBGP9aZoaIJbr1mU4cRD7pvyYCNNThzcN63f7zoNHbVPoHg6d955vO2or8J0A5NBt+WZ81ovg39RppbyHPwL1oB22i3o0vbaHh2gJuKnZMtFkC/Y/fa7De47idpPWsh9EdqP6VYPlJUC141WTMLo+vFN/wTBX9uruTzYie69+LxqoPgrQL+sadF0AVY0zztwe/cjM5hF0M/4prMGwI+zedVWy2Ovr7E+Hka+IKmWL+rBLpFQMOBF+BzvsULvHvQTe3+NX4CD1Ri4myUQmenmVObBjdYlZXxlkF/sVKSx9pBUT2jsdtIUA7d5YcSgzg4ddCMW9tedHP7Gyd1wOPEr8cEKqAXM+Rk2oO/bpgoEFUiuc/t3mDwc818H7r2oafrHWNIAy9/tmX6ijL6sy3jYuXgy8vfOaRV0XVuHFfvBK/lC1SkqKHnSqfr/Qbvvt1/KlKDFIcF1QeZOyFuBxlCFbXQtdLqFETAd/utzfmuja56J2erNjhPf3Vr3EH026qes9bgJdcOzanpoj8XF6oNAO9bSNs2qYfOs1IZmgRemlemk6KPrmJwQKEEPHFLynkdQ/S88oqBVnDWd1ppfw+jf+8XChwH/yb1rCHTCP2yeQgz3SeKKl/7+MxhE3Tu+o6bAuC/d41uXzmKrl69nUEF/GNJzuHcY+iZI2e9zcFdZySDjpuhf+ss+uQFnu3ol09tQdrvrmXRWPCk6xF9T0+gNwXoeuaBJ1DMWaxOoX91TSuo/0T8Dt6EKpMVennKImUQXIhX63y5NTpnhh31CrjP2pMPHW3RG7h7tnB3UVRPcct1b7JHz8i0E5EBVxtoYa52IOXdl1URQ/DG7l2arqfRd58q4nMC/xim4cvrhP7gbSDdFXBvB97ChrPob0vth9PBVxeKRi64oF976/SsHHy6jp5f0BW953aMXwc4i84W8zY3Up2s/izzC1yXZuJWoAdpPd8ODq7/TFFtCfJrFvVEl0+nXBYCXytfR//Zi3Se1zK5VcFDChu1wrxJfUE7LtMcnN/1eoi0D7rfuRJ+L/DRPzRVFF/01Lv0cdHg22r2rUT6o7f63Fp4BK5iJbZfKZCUF7ePHq0FnzXo8B8JQudNMLrfBy6zcW9FfDB6wsbI73PgG/ccWVG/jP4zj5ZvYzd8fhcTUP0Vim75r1ZXHNzkel5IahipPmfXOx0AX982Xqd7lVRPNNmCrMFZLg/Rz0WQ8t0jK9wPPGFHjMGD6+h0zRGh8eAMar9vGUWix8y88HoCznacvvtfFPquMFWLBvCQqY/bHsegK2/ZLDsE7nzL5LT5TXTF43pUy+CcteEFtHHosR876zi+wD2uPzdfHE+qtxKV/pLgQ2M0Gja3Seunpd2pC57x60gkSxL6pbmCeltw23SDrpd30IUzKi0CwAODlgScUkj1M032awJ4KJeFG2caek0Uu3UBuPzvMxW16ehDzDYfGsDvxO1k8MggPeflFvkh8O7wBDO+THSKrN7NJXArk6Ls9/fRabl+Uth7oN+FBM75PETvXaUWlABfTJ49KJyNzhaVaHEQfHLn1jsfH6Fbn8wKtwafeDo1FpyLHsYom+0L7lbjrizxGF1bQbPiFrjA19TYnnx0x+BPb/LAx9K8hiMK0F+GTNXWgQ8HzCnsfUpaz5e40j7wUww7or8WkfJrZ23aLHhf2/LX2BJ0WboQX9ZeqMMngpRUSknzEleb7i5wLtmcm+PPSXPgbBGLOvjo94AfSeXohhriDebgs//m1Q+8JD0/ScX7PHgz3daU6Qp0r9s/uW+AK0eNzmRUojP3KBTeJ5z3xGHD16Q5kFp4fwU4rYpX7lI1aU4oKK3oAP8XIkObU4vO4T8hNQFe55lke+wNuglNcwpNH9TzjMyqdW/Rd/w8vrgVXDPeaOvTBvSHzbEGe8HV+x74W75Dnz3ol2AIfpc+9QtjE7rSAme7Izj1g71K5c2kenXJad0lcENlr2THVnQDXy+RRPAY26NLmz6Q8uWKklYB+KbMTyer29HPqVaavAU/en2x0rUD3ViHyoxCvG9u1fYtn0jnrLzeaA6cMXZHWGMXqe696lRh7aeoXn0v9sO7Gz3e4ez2neBvxj8YCPWgS3Q2zquAGwRzFX/oRdfMna07Bt7Nvcx9qR9dLHQ6zBX8uPalS+ID6If+1ewLBx9PyPjePYhO/eL09zTwiWQrw6tfSfPw0eGwZ+Cjwy9LZb+hz7ns42kGv0v9bNvQd/SN99zuD4PT3dC7FjOKHhUTun0ZXHd9wPT+MdJ88sk3fhMF9rtB13JsHP0uh+myKDijzNPGxAnS/DPGZa4B/nVtiZz2L/TD03W55uC6rEaZf6bQbVstf7uDn524yprxB51l66h4BHiOhFmgwQz6uJ/dqbvgaQ7V44t/0ROvfrxcCr5pR63FoznSPDOolNYMTr/m1DvTBfQ/O1MfD4MXXotWWreEPjO/ULgE7mF6PK9wmRRX08dyNw5QVL/Plm6x/IfOVfosSQS8f21+NOOa7v88m8IdoAZ+gkFxbfladApL6NHj4DcfWHg5rkMPHprd7go+bs82uokG/fiC9/AVcOqBkyeradHF/tCkpoA/yd3/wZUevc05S6dogPj7eeGBLQzoW2hOjDWAz11+XtHIiD56UjiEMkD8rqaRzEVmdPaNjMyz4PpJQblCrOihtYzRTINQZwqVBdo3oG/dIEYtCH42KTr50kb0ptvOborgT0bcN+1mJz1ntrX1MLi67HDkFw50+RaLHY7gL9lHaSO40AcqWNwDwKe3BYTIbUYPspksuAU++vPu8hAP+sYTy8OPwNs3mvjEbkG/r7OPtQp8i0jCjDIfunJjvkQnuN1bB4/xbegT/sc0x8EvhNVNJm1Hf78qb7B2iKJqvFTockAQ/ef0UX0ucJlq0fFpIXTXuQK13eABblJn7wmje+QcEtUEb0yv+2G4C503R3S9OfjIyFenZRH02wmH+1zBP36NHssRQ2dmeZV1Bfy12Bvn47vRnz294JAMvsk8fIJaEr12W8DmQnArmna3oj3oXnPtNW/A3d9l/7GSRl/3OcCmB1xVg86bWRa9xDrg7xT4Eu3Uwgs5Uhzu6Qii/UpRXVdsE3RGHv3eSPgKL/jwwIl1nIroPkKJHlLgTmL9EbVK6FnhdD0HwC/vHmXx2I9+Nf+L4klw88u+CXwq6J4Km6I9wA++ubmlSRW9pb64Kxy86+aeB77q6ItzlZyp4PWhpuI7NdGtnOUPPQWnkV/zrEML3eX1tgv14EUH96hcPoAee9svvgd8u/G3t5I66KpRejlT4J/+8Bn36aLPaN4qphmG/lLf23v9ECmvLY4W84Bzn+U7o2CAbu8W90gS/JHf1+lvhuhCgsZxWuABCWLBcUfQZ9njPM3BN5nNMqkbozsMm+m6gnNaayZPmqBTSWWxh4KfPrRxV6opul1yYGci8Zwy21Ld4+j8rwdvQAFVtdKS1Z4zQ/+s3ilfDV4WHd7xwAJdpMqiuxO8Vs7c3vgk+osuL/cxcNPPeTOrp9ClxIRX/oF7cASF5Vuhq5h7XNr0jaJ6JLKV84QNesxa87md4Md67z6it0PvrqXY7wfnezipVGqP3qFK33AE3C38ZbOdI6kOcHTyO4Br8NPasJ1B7/yq4+YLXruxZabSCd3ykGNxFLjBv43XXJzRM8YlJ+6Bnw3t2MpzDv20/aMtpeBdGhuL37qih5i2q78Dv9z3XueCOylPLQtP9oOHz6yhCJwn5SO/9rk/4NIiTy+0eZLqvGKcJ+13qM9be5mCLqCP66a58YA/8Qh5IHYR3fSPg40EOH1jxv5uH9I5t//S0QDf8UaxEz5w4TlfUxY+Bq5Fr+8qG4CuUGa04ATeKdtFNxSILvxPoiYQ3Hviy72YS+jGS13BN8HnOo7tVw5BLz58WO4huFm0XtfYZXStlERKGXhjxbPzSVfQ6YKKLzWB56xLYjkQjv4v8SHHAHgE7e/c6avoe66535sGF3J6ffDeNfRHvzkF6UYoqq6tNN8Mb5DqoUdKMg94aN/ry8uRpNc/WkMvAV4o/5s/NxrdTF7XWR384uXbVcdj0dNeXaw7Cn7ZttCS5hZ6XE/0pjPgRQEq/4ri0C2kbpr5g2/wVku3TkDnsQqJiwb/Mv1MhSURfY7atu4euH9KOuVlEqmP1MqNl4BHbVwMdkpGL1VcpWsA7/n3VoArlVQP6at5esBtaOnf1KWR+vuHQMFJcM3W8tPn75LmE2kFgbWjFNXe1V4G/nvo35r+cLKDF6p4PGnORKdVL1y7E9xH2tvY/wH6qoTnkCI41+Xx2V1ZpDlEXqVcH/xeR1vKp2z0Wwubwq3AT37YoX4lB72ec07nPHjJtrHvUnnoayTH1oaBG57eGkV5jJ4w9KswEXz2cJVM1BPSnPaB4VgueH5I6xelQvS9acq/K8DTHxhcHn2KvjB8/XIr+A4bRdHbxeiRun/XD4G/t7rVrvkM3cT50tUZcD1dM//fpehlY2JLtD+IvnBd6G4Z+o4zK/abwe8Ei7Tov0BnuDJbJwZezS/rs/gS/Uv/Zl4VcK8juQKPXqEzbT57+gi4cfmNZtMqdO6PP3JswXfRfPZZV43um58y5AU+3Rct9LQG/anOZbar4JSJgjbLOnRN7Yy9d8C1KEqBTPWkOURz3igPPO+kpOiLt6S+ORxp9+oH8fkiqut0I7pNg7VzK7hvlkkYx3vS+cR4Ow2Cf264LFPbhL6rp+3UNPhWQZ4h9xb0g4fO69CMEf/nZfNNvjbS+oNPiXCBa+wOVmv6QIpD3oQ1IuBXZA2nfD+if3jF26IE7iEQmrGzkzRX0M7c1Affc5/PqPMTenIiv74lOKsdP1XoZ1JcbXiw7AYewxJRvOcLaZ2bQu6HgFsYmzr095DmZNUXanHguj1XuSL7SK/fa9zxANzh2LZ3ihSSJx2yLAUfdOcNHBkgzSG0Of1vwbd89t+TMETKU/5zpt3gjxTVhjWG0VcikmvGwFU0zyRNfUPXocgIL4O/y5zWTx9Bv1G3L5h5nKJqSTu0Vv8HelR3SRsfuNoWmecLY6S6VHWPaw845dZ3l+yf6Gs5aUzVwbu4lwVMJ9E3XRqMMAafOenZTTWFLpiiWGwHLs6iH1v4m5QXjBs6vMAzesIOWk6j33U7PR4Gft+Lf5XxL3q1k8bCbfCnEbzPy2fRjZLvr2SDe731djs9jy6TGTVfBl49ILWLY5F0PgLrxhrBU67oD9YsoV96Sdv+BVzGrj7ZfQX9NUtK4Tj4sPjdo3yr6EsVNWHL4HK3PrE0rfmCc9fpYCPmn1D/NV0afanQhZ982sQH/vyP1ZWd1OjUMg1NEuCdh5+qdtKgF98+HqAK7s5kvXSZDl3K76rAEfCJbufne9ajBwVZVFmD9zl1ePYzoKdpfTT2AP937s6eSCb0uHMzvSHgSkkvJhRZ0M8kvz51Czw7WT5vhBVd1EWpMxM8fOcGpwQ29O+h9prF4Jq/NXdqbkLPuaz+qBbcP7f92xQ7etT6jnUd4FM0FQ/SOdGzyvmODYPHla7a6XOjM8kK3Z0BD3VLE1zcjN67eaSfegLmqOH4r9m86DJMZzk4wGPffrtvuhV97+MCjR3gtc0x9uu2oa9PeeEoB+6Ye2vHU370Nt+oEG1wD7bJ75YC6KU/RONMwWme33vEJIT+40ZCigPx+sP5Z1/sQE9c25Z8AVw8ZsPuMzvRf4/3xoaBd4u+/8Uhgi7+szIwAVynq7eoVhT90n0fm4fg53W1vT3E0XcUM+1/Bh60l1ppmwS6RUUg8xvwcpPN/5ok0U9Zt3R2gN87dqXGTwrdTW1twjB4z4zW1V0y6J0r3IdmwBWGLfQ/yZJckXt+3STxu21v2K7sRX+ZsDZ1E7h3dFiXlAJ6e1HXXkHwtmd30iiK6Kel0xqkwZXpqOyj9qE3PztqpAHuoFgpuk8Z3bx/zQcjcJ51Lb9HVdCtDR4ctAE/zitVflsNXfmB+jN3cC3FkWAtDXTdKz2bg8Gl2Kd0/miif432uhADfsfuEFuGNrqLA2tDOrggZb7b4CD6gZwnbE/A76nMZy7poHcvHTV+Bc6opOuSo4ce+Y/6ehP41Wvjcsf10d8bV5f1gNt/61+lNkRfmxzZPwa+hVbwXdFh9PQLTksL4EYPnsdbG6FzXLVgXf+LovrRJ9WKxYSUL262PNzgCfs/iFYcJZ3/h9AtO8ErHpnOOh1Dlzao5tgLfstbpIbLDL3sylZabfAoK/3oN+bo3ptTJkzAD22ttPA8gT71eH+TLfG+TkE7t58i5fsAdaYHuOW/yJkWS1L9PDbrGgxenfCjOsAaffjJJpkY8HVjcTGituiBkVaTaeC3n9049dkO3Se2N+MxOFtxm1i4A7rjySi9l+DyabaLMqfRP930Gm8En5ZQbxw8g36yPT70M7iFoEtSzFn06KqpjSPgeXJfTyu7oNMuXb/zF9xwe5b8+DlS3gk7clFPwb3cK6G740Y6569XIjeC/z3P8vmAB7rQxx/z/OCJR4ofzZxH/5iYeFIS/M1spm+mF/q39tjnyuDPtvfpHfEmxY/w5/X6xOujbLb8u0jKL2l3EwvwgDnJyTxf9NnkE/FnwK/z6rw290fftSatyRu8sTTnFl0g+kZq+eUr4PvCjzo8C0J30hEXjANff1BHwS4Yvcf1kvo98IjSK4xsl0n73SxzvABc9tZ6SmUo+sKorv0r8MLET0UuYehcwfVn3oO/uzIeznMVXSE4z74b3IdL50RDBDrvjaXjI+BdzD8lva+jh2qUa/wFlxTuohaKJPURnRGhdb8pqpN86798iCLFs3LEvw3geaUhBZdi0EPepLfyge98rBa2+yZ6UfDuJHHwg5XaJ3puoeuzyZspgW99HCt1LZ4U/5srWXXAh2S308vfRl9RfFNpCv6ba65/OBH9GcdhB7vfxPcXNpbeuoO+xdBynQe41rhHlFoKOkPY36QgcOYTnA6TqehmJ7mEI8FlhVb3p6ajUy7U594Bp9CKc+hlkOYNT5qd2eBWtakTc/fQN819Si4BF+cxqn94n/T6TGXaGmJf73XumjxEv8+136kVXO9OqM/abNIcMt9R2wturLnWuOAResl3Bs4xcJYb1WKnctFdrwxYzYFXSNXRMD5GD/M0u0f9h6JaM08/UJZPqvOmF76wgefei3nhWIDu36zIuA181+TxBPan6EoBj2TEwbkzbNxrikhxSF1nogju7/v4kHsJqQ7QxTgfAPfdr7CTr5R0j8JM/ibgdnnU65qeo8/TqFy2Bi+KYKP4lpPmBO2dIefAqRItX+58Scr3iHcX/cB57owndlagd7iLOl4F/25U5hVaiV51V1c/HtzvSp2R1Gv0R89FRe+Bs86wSlKq0W9btK3mg9PZJzNF1aLHiCo3vwD/kWg3pvSGNGc2et56+4f4PzLODaP16A3d3oc7wA9bPM263UCK8xUd6kHwTHe5MK13pLm382fhBPhlizm7P+/Rb9I4mC6CK/TOamQ0k+qYRMlv2mmKqvQLGQHDVnS/6d6wTeB05flrl9vQC/8OsvGDe6XZD+a0o4d3vUkQBzcTN6s+3kHqp/tusCmCvxaNuEfzidR3amTDtMG7T82EFHeR+gjrmykj8MXrqbY23aQ54Y3KUUvw1IvBmqw96CNXHhScBbf5cVfoVS/64NQ81UXwjVmLNM79pPknT8UwlHiOZ+wI9wC65zGfmzHgbNw2jfWDpP4V/6gpBTzf3CXP6yupTtK1r2aDt/57GiXwDV3RaE60BHyhWcq97TtpbmHnNXxN7Ddq3DholNTXplWdmsBVaChy4mOk9cecCfgMvm2JcfOXcVLdi0y8Ogx+e+/55asT6B+ut16fAh8NYhuQ+0WaE3ZvCl8G90n5Uft1Cp2ay8GXfoai+slkMfvmH3SRH2/t2cEL3TQjVWfQDQ6o6PCD95fWuU/8RX/S9k5QHNzqd6Bpyhx6lKj7nDy48Yirku4CuujsnlpN8LU2idvmFklx3sl69TB4h/Ac9cNl9HxnVs0T4NZro8eM/6HzWUjPOYKblZ9og674n9tp+t8/D57MZV36ZC36m8afB4PAhb4lp55chx4bc234Gvi2ccZQBhr0jfJHfRPA2/8UOZXRoifZHqa9B/74TcwRR3p0z5LAG4/B1XdnyrMzoE+3DNKXgRtM/+CrYUR3OxoUVAv+aNCR1p0ZXWnE9GcL+LEa7smtrOi5Is7GX8CDrFY7329A31z5uvAbuEsoT6XvRvShA+Z0v8Ej552ydrKjn3KUP7YMfvHaRHQnB/pY5ak0ur/Qp9Y8vBjKhf7jT0vvRvAskVhrqc3ozx9EsfOBv295okvhIbl3qpYIuOfLNTJRW9APM/5zkQUffRG2ZR8f+gD1syhV8MQkZdof29A7aeqy9MA38u+aur0d/Vbh7jJTcJat2l+0BNGvZM9UW4M7nYiv+yOEzhHFW+cMzpvNUZAhjP503cNKb3CdpoY7hrvQG/LjnoaAKyTmX1kWQX+/eyw1Etyoo9YtVwx9l3BecCL49iOMJ8x2ox9V7D6ZCW7RFXqAVhK9bv1FqXzwtr27pUv2oI8rXv33HNx/Hx2frTS6tgtTXQ34xSI2hg2y6Ac1119uBl/rpD/7Sg7d1SZY4TN4sPjzIWd5dBknr5EhcJ93Rq2bFdE5V0aiJ8BvbdhS8VYJPaGqT2IePKWJI+fCfvQ9JmZvqWYpqleaVG4LqqA7WViYMYPb9t8O/aCKXn3x+yAX+Om2rR6X1ElusGonAD7t/tFytybpHIKy+8XBA6Of6/doke9l0EgePGeuUenaAVL8BBS+UgdX8GcQkddBfx3NKaAPvmHUh+ubLvqfMM5Lx8CVmDlo4w6hU9EUd1iDD5f3z6gZoAc9mRRwBjd71fl10hB9UajJ6QI4w8hCe+oR0nMYDXMugUfRHqrRM0bfve7i4DXwpPGGp/Mm6EyFuhvjwdc5et7LMkXfW9KwLx28RVvv5tHj6JpFs6cegbOdMAihMkev1//kU0S4d4BHoQW6pfDZyApwqdNdNpYn0e8PliTVE+f/75QxkyW69PbytDZiPSwbNF9YoT+66pvyBVzEYULmjA36w+fzN4fBjTv/CnHaob81UQyZBL8hKcJZZ0/Ku3/KTvPgtNpX6c47otOeWK9HNUdR5RhhXdh2hhRXjOmCTOCSIzVjzU7owUX//nKAj3Bm9Po7k+73z+7qbeALB7NbRM6h27tJhImAK+t/ft3lSqob76g0ZMCf/pUuDnNHn8/Kn9sP7sH5/KHMeVLdzpbKOgBeHWyfNOhJyhfXmwZHwP/R7rsRcwGd+27rhDn4E3+lIOWLpPPsmQy3A7/w1NZj3Af9b/1v7nPgm/2L7e/4ketVz31v8Ct54mYHA9BvyubvDAZ/ydFy6G8gqT4sn31wDXwiMlH1/iX0qBVOnjhw++EIGaMQdPae4ohU8Ohf93auXib1O3mtqYfgcyFDvPlX0D88e3ekANzETW/DiXD0gHnd3DLi3G50U6+PQDfJrFuuBtfMjVkovUbqs8eUdd7PEb9n6DJpfwPdt7Q0sgP8vJr7141R6AccZd71gR+3Tv78Ohp9H33pmhHwdR1jza6xpPNXVd8zBc7sblO75RYp/vO7zBbAd6//V/YuDj1l1t+Pap6iquj1+olPAvq7ij0JjOC7wx89EE5En8mcf8QOLshemtyRROq/hz492wpuPD0aezkZ/aRF00thcO4Ftat7UtHFPPpeSIL/XnwV2J+GziPDVKwA7tti5RV5F31O48QDdfCzusLOSvdI96vZHK0H/lCdzXY0E/1xl/15E/DtUfzmtx+gb88UOnwSfB3V0SNaWaT6qc26wwH8infewT/Z6OYOO2fOEa+vFlbNyEGvvO9W4Q2++vzNXsM80tx1fyzwEji7dITE8mN0VfoUhQjiObSuwrlPSHXAK/RnLPgjhot8ZoXov69l3bkDTs11n5O2CL3jJ61aJrgU1R+WkmLSOahmU3LB3e/b0dk+I+WX0HWf4nniewdzq6zP0YdVixgqwJ87PJl/VYauLCNwuw68V+7qb+cX6J/u9fI0g2vzXB7bXEGqAxLDSZ3g7WPpX9++Is0DAfs29IMHXurrvVBFip/d34K/g9sXKn8SrEa3+P51bBK80rSq9UMNuqOOkuEc+NhB28ZLdegrs2O5q+CnrIRrd9ejr0uYX0O/QFF95sX4quctqS+8cTiyATzLmu35tUbSekTl7nCDMy7LP5V/j55/xqmHH7x726W8b02kuXc7DZcIuNDD7w/jWtAl5xn0pcCFHVwz1NtIeRQT6KcILqHImfLrA6nv3LDKVAd/utiXkPaRVDeiimt1wdVC38Qe6kTnVQzoNwKPftx0Y+ET+kWpij/m4GeOTIdnf0Y/vtl7jS34Kx3Fy6Zf0J/EPaY7C57qlh64rhf9rKYt/XlinXcFfJ/2oYe8v0PlB1719I2XFYUUPy2msyHgZSFX3ZkH0SOmkr5eA8/4cdrl5RC69UeHdzfBt9Y5nnEaRj/NU5V7B3xmPNSe6zt67JnsK/fA6fZXWb8ZIcWh9XaznAXi95q4T3n+IM1pWZI7noLTV8eYbx9HT+zpGC8DN34sdKz1J/r6B5sev14gvg/VZRw4SeqzmZMODeDaW7MPi02hL/ie2dwGvtYiXr/7N7p7c2h9F3hgZbru1Wn0b6qa5yjgUcL1B+T+opt55TCPgAu4Mmh9nSXND8zl2ZPgRzyc1W/Oo8sWeO2bJeKB6YeK6iJ65lJ/wwq4Jm/o/oklUn+5vXiYZhHyyE9RKWUF/cb2d21M4PvomBR0V9GZ1Y8cYge3TFuUm1vT+59nJMZU8YKPbaaRfUiFrtdwfbcgeJW5mLQJNfomb60EUfAexXN71tKir9GqmpUCN098J1FAh87XuWKkCO55WHP3qfXonk1U2WrggapdYoyM6EzNbX8Pgo9rhYuWM6H/9T2rchj8kPIRkdMs6Hu924OPgRvRyu3i2IBOsWd8dQq8NlB2Zy0b+soo17Q9+LUQQ2GPTaRzeLgo4AL++NflHds40D8pl+p7Eu+b9UGomRO94KiBux94VqiSkD83ukpUTVQIOK/jK0ERHvRb17kfRoBvF7cQ7OJFr/plVBoDblCyQTBsK3qXlUf1bXDTvgEBmW3o04G+9WngNOHvBAb50QUnXN48ANePahaIEUAPPGJYmQcu0/5DQFkInfcQ/9Mi8F6ZbYLjO9DZgr+llYNH3TwneGcnuu+tjCuvwTPfdQgeFEF33nHU4S347cqjQn9FSfHQS6XWAk5lMCF0Xxz9qHkBeyd4kmn6DiMJ9GC1k197wEXKTguvSqJnyjI9HiLe96juznwp9M7P1a4/wNczau46IUOKh7ZLYlPgYS+PiqyXQ//+SmdoljjPA0Giz/eS1qm9LW5lkfg/qlViDgroD+lpVaiX4Dku3Ls3KaHP5a0OMYD/aYiQqN6HztHOcpltifh+zYY9bsro/Hx7ebnBRy8WSG1VRVeW8XnCBy4c6SDzXg09qqRr3w7wmLvScr4a6HLax2vFwDXiOOV3aqGbRSxoSYP76rApdmqT8m579WsF8KgMgX2hB9EfFRXuVQWfCtBTltIlxc/AuyxtcKmqCFWKHnqh/kY2ffB5nT71KH30gJRrF4zBmZcPau0zRM93k+kwAzd+0XDgx2F0F5eNu63AXzlY6SYaoQ/LigQ7gDsPMOprm6Cru/g1O4NHMrUYTh9Ff/yMnuM8uFvTQ6N7x9CNSj4d8wEPoIo7etgM3Ypx5FYQ+N6bCcdXzNHXWu5vvAKudiLfIu8EuuPh7oXr4IaaX06Zn0J/efm10E3wfeJbbOis0KVTZnQTwWfmz9s/s0Zf3OfjlEbET2T/aTtbdE16w9D74BvfWTqz2aPvv++TmAPeEz/tWuWAvqVw8WEBuEpb6vlzp0l52v7pyTPwJ1YW3rxO6IaPWYteglcIi/s1nkVnGMouqCbed/3GoIsu6Bc5M7PfgvuMMV7e4Yr+7uea5Gbwpiebwz+6oSvQvw3/CL5ead/1EA/0Bca5c93gmu7u0ZKepP2mxB2mgOfIld/q80I3ML8r9g083JUj8YY3yX9soRpf+t/vB6Yo+qAHTbJ8nAI/2ESXMeKLzsPkkz5L3OOLtAcJ/ujHv1nYL4P35h/I0QxE99j6QohqmaI6dIPqye8g9KzjSRQ68H2KH4ruBqOLyc/HM4OPJBc9N7iMrmHVq7UJ/F9CVsVSKPoOz4O/uMGLWfOrc8JI98W5P54P/NjEm/rjV9G1xytkhMD12X+/p7mGvpzQ1CwCznVW4kPxdXSf8nO2kuBHOgI/2USSzn8+87cs+GMFSg9rNClu51z9lcDnAowHX8WgU5l3rKqC81zt+u58E53ldWeQNjinsuvPzXHo29ouzOuBrwvj/PM2Ht1P/LnLEXB27ba5C7dJeeeT2mMKnmiXsiKYRJofju/SPgE+VX9xXfsd9G7nUznW4JmmDuuDU0h931yF3hFcbdaOVSKNVGfqmm2cwQNjPDl609G1DrOUuoPvoI/nvZ5B2m8aFY03OO/BN9sVMkn3a5Rv6A9uJkO36/t9dDpWtrhg8Nlic4n4h+j9vnvaw8D5CytkNbLR52VZmG6A87Hu2Tf1CD3l62O1WHCDsmL19Fz0jSKs7gngInEHdfQfk+LwkXxyMrjm1XHDxXzSfEIjUnWX8IC7po8K0PW/fut/AD5mbnfy2FP0mWH3hRziHunl7aiL0Qfzm1gKwJ+78pwtKkG3GVziKwHvu8DsYV2KXi2wVrQcPItmgw9LGel9OSiSleAmtAKXKsrRD59M2lMLrmCtGX72JWneSJEUbwCvWfKM4n5FqpNe2QLN4J7VxfH1laR6GEXF3g7+8w5VqtdrdMmrmmu6wAfPWd8XqEEXpj030kPci3Bzblst+rn8kMYB8Mg8naKgN+jm/FeyvoELj7SXi79Fl6e6GDQGvqbGufpLA6nPzp40+gWus2NTY8Q7dNYMhW0z4BqLDW17m0h9M5NpdB7cUDTq83AzeuS9nrwV8J50q4FbraQ4V310lmoF+ri62qjaB1If3H5BiA78/ZLE1GQ7es2oVjcjeNRzsfnUDvRmRZ5rG8AjLfeuOfQJ/fnzORkO8PIvhvQLXaQ5imagezM4G+eFDdndpP7+ttOPD7xw8RG3aQ86TUYPpyB4zfkx/nV96HXSM/k7wePPKIo87SfVE0EBNXHw4PoEKasB0pzMfqZ5D/g/71VF5iFSf89pMJUDT7L31nj5leThB7oVV4jf01jUc/pGyi/D4eMq4O33bphwjaC3PHjwQQN8pV7k5JtR9Hvi1w8cBLfq6LD3HEN3u5ZYegh8sSTy3Paf6NGWrduPgH81MfJunUA/cVg24ii4TqrApcBfpHlgteGHGbiL75oIsd+k+Yct9sAp8LxPY7Hdf0jzhkhkug24z93BO1dn0P3Hqn47gJtVDWfKzaKvn9+tdhZ8bPtM3tc50vP/fr7mCj5cxPrs5gKp7oXXtpwn7tdSvlJ1iZQvBlMsF8FNWJ3fTiyT+vukjZ4/+IOi3LaUf+i3mXhDLoFvkJ3t1l3T95+nH+IrDgV/ecng69xa9CJD14GrxLmFFP58uA59dznz+kjwLuFtsyY06OclVsVjwVct7qyupUMfMNLWjwf/zLBtfSE9+qf6Icck8BmBwo2WDOjP93wJSCXiKkZ/CxMT+pC0RHQGeInKzI4XzOgV7oPJD8AneLMlz7CiP4iazXwEHsvuoMjJhr4s7p71eIX4f3wSmnUb0Xf9OfKwEFyOicrgPDv69eCUuyXE/X4bOMbPiR7ub5xQBp4b/c66hQs9MNwnvAJc6G/l2YDNpP1qbfB8vUJ8zq30EuVFnzbfcqKO2FfB26DPW9D3Od1VaQD/3t8TEc6HzsaZurUJ/GbI4i1ZfvTudRzzrcQ6wwTThrajL3YytXwE9/p8LDtWEL1HMvxuF7j7mfinKjvQKSWhLj2EC/a+/CmM7k5PL0cBvzq3uz55F/pUM8fCEBEn7dfadETR3z8qKPsOXn//15dZMXTH/Z89x8DDzay+PdhNOn/xW6KTRD2kfP5lLInuzzvQ+xv81M6Ti2uk0N/k113/S6yH7wd1gTRpneEasgvgZcWXWE/Jon/VOdm9TORv5zYexr3o15LY/db8g88Xno1C5fLoTdyunNTgKv4BkqcV0Tedc35CB17Tq6DEsQ+9UYFVgxG8LfyfVu1+dIttJz+wgMecaT7soYK+p+7oyY3gCh4PLbapoZe8WxriAOeODXdoVkc3/mTisBk8ocTd3V8T/cJ1q69bwPlb7PxFtNFvXN9+ih9ct8kqvOsA+j/f1HZB8Px0+5thOuhKy+2aO8HXyJ1PldFDzyt5WygKTn8pInvwEPrrA4GbJcAzXbKLYgxI52w6GygF/mqi5ZXyYfSwMLl+WXDLP/8axo+Q4tlXWUkBPOmsfMcdY/SZjxtu7QNPOeBDOXiUVK8Ui76pgD/wrh77a4oeYCAkpwFOO75x9v5x0n6LnIK1wXfFu6w1Nke/yRz2Vgc81LaFac0J9Kw1vgz64NkHFLifnETPldTRPQwuI5UreNISnVXlb6gxeN9GIUkGa3St1ssvTMFdex8qldmgl4VP/zQDrwqSPOBoR8pHOj3ek+B1Y6+N2B3Qt89GaFuBB7JZnKpxRJ+bKXK2Je5rePGM+xn0lux3UQ7g3ib3vfjOom8uas87A85jZBLc5Iyu97z5jTO4cgtDpN859DaLyh5XcPWKxsRdbuj8atkTHuDpTLH3P7mj5zDcWPIC7yo8VXDlPPrgKRcaH/DIZOmX0l7o8n0GjP7gzi9Z3g5cID1fXJo5CFya5k979EXSOU/yMoaAlzv19u/3RfeuZ6a5Aj78pXlszA/9nRnDUjh4oV79bFIAKU502CeugQvlvaE6GIROpSjREwluO/me5e8l9A/NFm9iwO/QdvPcD0E/kZuadwuc7ftPYaNQdO7zs1EJ4Fsv0cmsXkH3aTjrkkS8b90u1fxwUpwfWT6QQsRz9pFDJyLQV57kb00HF9ty6fj66+jM4SFTGeCm7CV2z2+gJ/r6Vd0nzv/yLzeHKFJ+7U65ngV+3kIqYFMM+i/N70Y5RPxE+0ZUx5Ly3caS4zG444aGeLdb6OUitJ1PwO92bLm3NR49VnUg9in48+aL+e8T0LMP/NIpAW+e/Fzum4juNSS3UgrOIqZWv/MOultpaX45+OsL+e2dyegsjl4WFeCyNfyU0FRSf4n3WFcF3roueVwqnRTn3wsfVYMzSGyep9wlxcmKrF4d+FnZdOroe+imQWtG68GjGETY9t8n1WcmzsuNxD0+KN869gA9WM+Huwn808xh0aQs9Fe9Inkt4NemxvceeIRu6bhb6QM4+40ozZkc9P7rYW8+Euspkz2SmYdeOiFr8InIF5fBk0fy0U9Jq3z4TPSRlDinf0/QDy/fN+oBT1Q85P24EJ3m15mWPvBeJfpQiyL0+fyYgwNEvMW9i6EvQb/Xy/NqCPyAwq3U0mekeYaPWfIbuMRWqxz75+jruJzSRohz2CtVurEcvcBJin4MvMGXvvb1C9IcUn7G7Sd4xpfhVtcKdLs8to+T4IyG9b1bKtGtByVkfhPPaXj8410VustqTcw0+H3VpFmfanTanLbRv+BB2RHrdtaiPwyxUJkn9vU3cENnHXqDuF3sIvjKVp+tofXoPwwm+pfBn3JeFJVqIPWviCWRVfCIDj95SiM6e3Csx9pViuoT/VCtqPfoXJ+fPFsH7uQVa7SvGZ1e1nyWBny9eqbljxZ0G/lbMvTgv7PLnBPb0DPDTp5jAE9I/+ij3Y5+sObFfSbwizzTYdMfSXUvtuATC7gIG1fcvU70/HhlWrbV//3ufcbhLvQzHqelN4Gna7vkr3xG93sneYID/JNr2ou8L6R70bwTzLVK/L+59rfmvaT6cykrczO4/WOmTrp+9LsCFtW84DGP9YaeUUh1r7W0dyu44UDkL7tBUr0Sq5rZBl6q/HGZ7StpPV0X1guA/3ixleH1MPojnz4eIXBuQxcu1+/oPEXzu4TBr0xUCm0ZRT+y853MrlXi704c0u9+kOLB/+g+UXAHUXdVn3H0tSbJquLgj0ta9IUn0C8eSVeTAG8TkrLomCTVTy47lT3glh6Jpy9PofPqjytIg8/Grr2w5w/pHm8q7pEF1/Jzu9w/Tbqv60eE9oLTCA3GRP5Fb+6R5lBYJf6OdyxNaY40P+/6SqUEzhvfmjs6j664yX5iH7isjn7Z7UVSPKuVdSiD6yY1vdFaRg83GSpTBbf2P/Lxzwp69a/hO+rg0aNdAxmrpHm1rOaiJvjSJ9tJw7X9/3mfUZCxNvgX5d9Ly1ToVZY8ogfBXdhD1+dRo3++fOefDjitMTeXOS16ns2/Vj3CJwuF6OjRS9MPpeuD91L0pZ+tR/frC3UyJM5t209VO0aSV+dIHQFnuR9twMaMLjtZNWtExKed7IkqFnQRusYyE3Bps74z5zag9xS8vWgKXuBzzZt3I/q7G5Uyx8GbKhSuNG5C91Ep/GkGfnLL+M2LHOinne9mWoCrxWTc3cGFzlUabXoS3JnZPP8jNzpDTTCNJfjnaPaXITzo1dI+RVbgtxk/NkhuIZ1z3sWTNuBV/vGf+raih7aFrLMDD+gyG76xDf2m1p1se/C1XPx/FLejO+e91nEkni89tjoigH7r0eL30+A3BJ4z3xZCv0rRvexE7IsSzqsljN46XcjjvEp8T99c5M9O9LEI6UIX8KIMCfkMEfSTGh80XME9btNqG4qhZ9XGtLuBLysNGi+Lo+sWult5EPUzvNI6VwK9Kc/7x3lwes90V7M96AXmD9y9wFfmggNopdE9Ty3PXAC/y+J4vUQGPd0ixPsieG2BQZKtHHrhjNxfH/BjHfJZG+TRJVq3ePiB610QKqlUQE+OUhjzJ55/Y1ONixK678cb1oHgpzfQtPHsR9fX2twRBP5qeb6vQRn9duhXrWDwRt1f496qpPiUnSgKAa+ZGlkQUkfPWFLgCwUfHxui+6hBikP/xvAr4PFSAxwhWujFx+/9DAPnqaQISh5Ap5etPXwV/Pu1Qam+g6R7LJYqjAB3j/6mekMXvd/vF/N1cKU34waKh9AdxFfP3ADv2DlzYkQfndbFrjoSvKfgn1OCIbpaHx9XNPjcMUYfzSPoaYKyZ2PAKZw84b+NSPc19PBFLLjpD9H4uyboDa+86W+BCzcoZxqYkp5jlmMSBy6Rb1y4dAz94TG11HjiObecKnPM0K1PqAwlgEd5XG46boF+jCFrRyJ4l1baF5qTpPyl83NMAlehfTFafAp9zd+KB3eIOlbwedbGCr3yosdAMnj7vgXqDTbob6WTN6eCH33Au6nSFv1eo+KRNPCUr6rbXexJeUcxvpJO5MW0gySPI3o39+izu+C5rVHKDafR1bmXhzOI8/F4fsjbCf1GyE22TKLftQ+ZCzmT7mU+d9998G2/WM+0u6APbjtk9wD8zmsV72BX9NkUr4iH4O/U3a5IuKNTbRDNyyLmgXP3bvV6kN53m+v7bKKuKndmXPdE53TV/PEI/E8+Q4HCBfRddx9T54KHlKm/+u6NrnPs8dY8oi6Z+b2P90Ff2Kst+5ioexEl3Rp+6LXDvjr54A81pkam/EnPX2dg8QScK3T3bHog+lO5aqcCcH0tF2qDS+Rz6PYuBNcMebxxKRhd1SEx5Ck4g9wkf85l9CM5/64VgZdZSEkev4KeEsMWW0zk18QFZZpw9Psv2+NKwE+MvjxUfBV9qk0r4Rl4yYF1FjbXSPnleTa+lKgn6/TPsN5AP6d94OZz8Dqe296vIkn9d/zLjTJwgauDV5yj0bXWi10pB1fUkojbHEvqO+qKfi/AfQwC7r29SYpPBXrXl0Qepb8vuBCHfv5mslUF+HHpLZWCCaT+/uuP4SuibtO4Nn24jT4zu2l/JXFfG6u/XEoi1Su9NTurwEeOcvzYnUzqv9EvWF8Tc2nj2bmeFPT3DtqzhO9xrqa5noYu6XX/SzUxJ+zdzK5wl1TPT3VV1IA37Dgv8D0D/VDd19RacLm9TXviM9FZDd771RFut1NV4wEp31Nij70BL34UajD1EP2B0d499eCZVIMn0rPRg9mr6N4S+z2nelY/B33r1d19hH/+mu6zmEt6vsGVwgai3tqthj96TOpT6+tDGok4HLFOOPaEdG7Wf4+8I+LZpfY+dSFpHvjLzveemLcnhIuKnqK3Oe/8QfivMzdeWxeT8tpRsqgJ3LV7qoXlGSl/r0v6NhP73Xe8r6IUncNPVKUFfGNk5fjZMnSeboG1reAT9cKL3C/QBQ/x1hD+eDSG/u1L9GeenCFtRF+eWOC88ArdfJZT5QN4frv9DsEq0tzivW2B8F9xbTIfXpP6V6J0UTs4t4SyxqUa9NEVY6eP4K/Tco/srkPfqB/K1wEeTuG26nmDPrmj/gPhm6eunrv2lpR3knyhneAiTXP+8o2k/sgQLf2JmHPcz1z/9g599ST3AOHPu7uT4prQfzVU3egi6iG1frZ6C7rcn3C5z+Bhk5XPfrWinwhw7yO8Jk66Lu0D+jeGS6HdxBz+O6v90EfSuak/2/kF3It6y+BCB7pGLcc7wjsbb/7K/oS+Q/b+2R7wWBX6f6af0a/JW6/vJe7d6hIT9Rf0OffDWYQfEZ3jKeohxU+op3ofeGiKm4h1Hzoje+sXws8XjsqzUEhzb539+X6i3jraHqgYQE9VlKengGu96D16doi0Tk7dVMLv5By34x5GH1pJlRgAvyX10aP+G7plvFwV4X6HDwd7jaBvCeQwHCTiak1TtMAP0pxwQrWH8DAN3bS2MfTLH585DhHnvPFtXtBPdMUI/ynC285pvxCfRDfaGufzlZiTjesavvxCN9m7+o/wyQrNrojf6PXeNaHD4E/yar/tnUaXvkyh/QY+y6s1MzxDqhvLZhGEWzC+oYqbJdWrCCn67+C+Fw+wqc+jxzQ6hxM+d6ph268FUh+0Z1g3Quy3Qk8ibQndaok1iPCO2Ob9h1bQX0pfmiM88/ORQwv/SPNMvoXbKDH/3+wwz15D+c9pNjz8RnhrudkZUyp0qhVrix9E/Bv2ea+jRtfkvtlM+GVD27CnNOhHaBRUx4j1lI7EWdGhF502KyA8N+xcJvN69F9DM1vHwafLpgtfMqDH8Gy4QfhDQ78qJyZ03qLHs4RXaa1t4WJB5zFotv4JfuBORO8bVnT2GK9GwrX1Nox7sqHH8j7cM0Hs1zRpYfsmdM7bNrcJXy3np29jR5fIfLxI+B+vHM4gTnTbrxGnJok8vSK9Q5wbfe/KfCXhbSMvZb5sRpeOW+X7Bb41VVsjghd9SOduIOGzd1uP7N2K/r76yxfCk3+bWw3zoXvdK9k7BX4sZvjcLX70MzckbxLufdEtQE0AXUzQcIxw40eL1ycF0XWYNmn8JvKXP/xO6g50rbHgJMIL+9ge6e1Ez7NOniD8X39a6fwu9LWbbNX/gKcKiL7JEkVvffAljvA12aUfj4qj3y2n/UZ41lnNISoJ9LmZUdlp8A0ubVOFkuinFkNDCa/NObVqKUXyc1/aCDcUGGdmlkEP+j25ZYaIhw6fLS9l0Q+K1p0mXLOSVsxpL7rKy5NPCf/aH6/IpUCKz4MvFwhvkRXUeaOIPuA5pPaX6I+VT4957kNPGuoIJ3yPv5rDdmX0DPmE94RvcGr1bFVBD+EUZp0FX3/V8nKgGnqNwHUjwj9/nIgV00AfW629RbieYeDdbk30UKNP7YTv+sv05Ko2Kf5f1rLNEefwNrVC7iD6joHow4T71Yq//6pDOgd7pUjC741WdN/UQx8Za3hLeKqcwaiqPnoulzLVPBGHOX2zEwbojNF39hFepuFKk3oY/fbvAU/Cn61Z3aRnhP7hG0ce4QeGYgTmjUl1hmXfIOE23/mlso6i+7CYcC6AMzMVqR49hv73mrUe4QbGmoZUZuhqQo6BhIuVdZwsNEcfDXYsILxsv6Oz5Ql0V037AcLpKXO+TKfQLVltNyyCy6Rfi3hhia4aYatKuLkvb+IZa1I8GJ05R3iKW/5DTlv0GRbvZML5g1VL6uzQu+2i6wlnz/1Qc96BlEfTxb8Jz/5p94H/NGk9tj94l8BZD85SWs6gs5lIaRN+pSxiMuAsurNT9DnCNdV4V0RdSHmnsy6B8Ji+fMbuc6R9Jdx6SXhejBrPVTf0ht8qg4R/N/24S84DfQsVI+0yeKSko/zX8+jVTgsihP/iXdC+6YWu3sRkQPhpnsijqt7ogs0H3QjXF91mN3ER/Q9rfizhVIeKPFJ8SXVVQfUp4SP+2sG6/uguP9Z8INy24nP0XAC6+NuZX4RTGF3SHgaR7sVrK8sK+Hun1TyTYHTj24FihCd13nqx9jKpPrdw6RBeYSjcWBCK/r160o7wpx3lXafC0CU30Vwi/I+jwXfGq6T1OJ66Q/gamsGZ8gh0e8vFIsKtnnitO3Md3eZu/3vCb9vSb+SMJOVjE9Mw4Xu2p/LXRZHu69rVJcJf/pCUPB+DruFntPEfeOPLWmX+m+j31M/tInzy9nH9llukvAjtUya82m/cIiAefc/XB8aE9zlechK9je5GXe9I+FeLTT6fE9GLr2v6Ee5xLDs8/A562Gb+KMLFzPclyKagnztqeZfwl7at94dS0af71zwlvOG8XVFsOqnenmSoIXzNtbnXKhnoS+6B7YRvenij9ec99Miqk0OEP6vf1p98H713PPc34bcnin/qPEQ/f+fsmlXwC5t1lmaz0D87p7MQTqfXu/7hI/R4Wt0thDNecuc2ySWdG/M5EcLVy6h3rn1MimdB5r2En/2bJFeQjy78U0yD8EN7d2udKkC/ydhkQHiuX7Ux41PSfoWmzAg3qTG1KS9Cn+xJtiOclXnM7XQJKb8+tpwj/LFFUBBHKXpUYfRFwhdzN0bVPkfX4+gLJrx5JSvFoxz9ycOKa4T/Nd6Xu+0laa6g2XOLcIPc1rLmCvS4LsXk/61/nf1b/0p0ode99wj/bjnfKfIa/ZItbw7hlJeRw13V6KK28wWEe/Bsnw6rRS+09S4lPNDv2VrZN6R+RJdUQfhwj+6GoXp0pxmrGsIjVPr5YhvQ85va3hJ+OPP8bpV3pL4sM9FEOD8d3f6f79EfNz//QPiAS4pecjO6r7LMJ8IDPkqa67SidwnbfiG8T6nu9GwbutHug/2E/8o0837QTsrHmeFBwjMYJ64Yd6CXbVP59r/z8QqJW/MJ/Zmx6Sjhaf0cmU+6SPGwZ/c44e90cgtPdpP2daphgnCLYpUqhh50mUCRKcLV+D42l/WS1ilt8odwt2unex37SXWSX2eG8MGZpTH2AXSRnwyzhF+zjl2oGST1cfn0OcJtmoToid+5/38vzaZe+J8rlHNu+0auA2qLhIc8MNjR/B1dPsR0ifCKDUMy/qPo9NLa/8fGXUBnsSXa2p5AgkuwQCC4uxMIEhyCuzskeHB3d3d3d3d3d7fg7i6Bu4r9nrvqP/dnjO5nvLNpdpKqr2p19x7929lj9u1WzPn/wf2/P4cpccL+3T8vola5/srunSsc+Lc/rDG/kfP/N/k/e9K/lf84e8NDuUJyvbN79wrH/+0Psp7o8+C93SPeSfPX2dvMrj96/Ee716zY/t/+M9KHmYU+2/1R6WX/9lFdhq549cXuQW3P/tt9H/hsn/nN9Vxt+Ozfvq7CuqOlf9j98ZGv//Ziu4pd+fLT9XzI9+fffi3t9YeLf9s9XFHnn0MDWk9u86HKH7v/9ys0oMewc0s7/P1/d+dP++vaE+/1v/u3f/gB/9M/+4dXmML/99f+G17x2H1ir29YJdqV2Pv/yGtwuJTvyybqmeC3+deP8nu9IvAbPcw/Injpf/16H/C/F/b9/3vx/L//3sZF/v8c8D8djkaFp1ERaJQHjfKkURFpVCQaFZlGRaFRUWlUNBoVnUbFoFExaVQsGuVFo2LTqDg0Ki6Nikej4tMobxqVgEYlpFE+NCoRjUpMo3xpVBIalZRGJaNRyWlUChqVkkalolGpaVQaGpWWRqWjUelpVAYalZFGZaJRmWlUFhqVlUZlo1HZaVQOGpWTRuWiUblpVB4alZdG+dGofDQqP43yp1EFaFRBGlWIRhWmUQE0qgiNKkqjitGo4jSqBI0qSaNK0ajSNKoMjQqkUWVpVDkaVZ5GVaBRFWlUJRpVmUZVoVFVaVQ1GlWdRtWgUTVpVC0aVZtG1aFRdWlUPRpVn0Y1oFENaVQjGtWYRjWhUU1pVDMa1ZxGBdGoYBrVgka1pFGtaFRrGtWGRrWlUe1oVAiNak+jOtCojjSqE43qTKO60KiuNKobjepOo3rQqJ40qheN6k2j+tCovjSqH43qT6O58P81aiCNGkSjBtOoITRqKI0aRqOG06gRNGokjRpFo0bTqDE0aiyNGkejxtOoCTRqIo2aRKMm06gpNGoqjZpGo6bTqBk0aiaNmkWjZtOoOTRqLo2aR6Pm06gFNGohjVpEoxbTqCU0aimNWkajltOoFTRqJY1aRaNW06g1NGotjVpHo9bTqA00aiON2kSjNtOoLTRqK43aRqO206gdNGonjdpFo3bTqD00ai+N2kej9tOoAzTqII06RKMO06gjNOoojTpGo47TqBM06iSNOkWjTtOoMzTqLI06R6PO06gLNOoijbpEoy7TqCs06iqNukajrtOoGzTqJo26RaNu06g7NOoujbpHo+7TqFAa9YBGPaRRj2jUYxr1hEY9pVHPaNRzGvWCRr2kUa9o1Gsa9YZGvaVR72jUexr1gUZ9pFGfaNRnGvWFRn2lUd9o1Hca9YNG/aRRv2jUbxoVRqP+0Ki/NJoD33+NCkejwtOoCDTKg0Z50qiINCoSjYpMo6LQqKg0KhqNik6jYtComDQqFo3yolGxaVQcGhWXRsWjUfFplDeNSkCjEtIoHxqViEYlplG+NCoJjUpKo5LRqOQ0KgWNSkmjUtGo1DQqDY1KS6PS0aj0NCoDjcpIozLRqMw0KguNykqjstGo7DQqB43KSaNy0ajcNCoPjcpLo/xoVD4alZ9G+dOoAjSqII0qRKMK06gAGlWERhWlUcVoVHEaVYJGlaRRpWhUaRpVhkYF0qiyNKocjSpPoyrQqIo0qhKNqkyjqtCoqjSqGo2qTqNq0KiaNKoWjapNo+rQqLo0qh6Nqk+jGtCohjSqEY1qTKOa0KimNKoZjWpOo4JoVDCNakGjWtKoVjSqNY1qQ6Pa0qh2NCqERrWnUR1oVEca1YlGdaZRXWhUVxrVjUZ1p1E9aFRPGtWLRvWmUX1oVF8a1Y9G9afRXOj/GjWQRg2iUYNp1BAaNZRGDaNRw2nUCBo1kkaNolGjadQYGjWWRo2jUeNp1AQaNZFGTaJRk2nUFBo1lUZNo1HTadQMGjWTRs2iUbNp1BwaNZdGzaNR82nUAhq1kEYtolGLadQSGrWURi2jUctp1AoatZJGraJRq2nUGhq1lkato1HradQGGrWRRm2iUZtp1BYatZVGbaNR22nUDhq1k0btolG7adQeGrWXRu2jUftp1AEadZBGHaJRh2nUERp1lEYdo1HHadQJGnWSRp2iUadp1BkadZZGnaNR52nUBRp1kUZdolGXadQVGnWVRl2jUddp1A0adZNG3aJRt2nUHRp1l0bdo1H3aVQojXpAox7SqEc06jGNekKjntKoZzTqOY16QaNe0qhXNOo1jXpDo97SqHc06j2N+kCjPtKoTzTqM436QqO+0qhvNOo7jfpBo37SqF806jeNCqNRf2jUXxrNAe+/RoWjUeFpVAQa5UGjPGlURBoViUZFplFRaFRUGhWNRkWnUTFoVEwaFYtGedGo2DQqDo2KS6Pi0aj4NMqbRiWgUQlplA+NSkSjEtMoXxqVhEYlpVHJaFRyGpWCRqWkUaloVGoalYZGpaVR6WhUehqVgUZlpFGZaFRmGpWFRmWlUdloVHYalYNG5aRRuWhUbhqVh0blpVF+NCofjcpPo/xpVAEaVZBGFaJRhWlUAI0qQqOK0qhiNKo4jSpBo0rSqFI0qjSNKkOjAmlUWRpVjkaVp1EVaFRFGlWJRlWmUVVoVFUaVY1GVadRNWhUTRpVi0bVplF1aFRdGlWPRtWnUQ1oVEMa1YhGNaZRTWhUUxrVjEY1p1FBNCqYRrWgUS1pVCsa1ZpGtaFRbWlUOxoVQqPa06gONKojjepEozrTqC40qiuN6kajutOoHjSqJ43qRaN606g+NKovjepHo/rTaC7sf40aSKMG0ajBNGoIjRpKo4bRqOE0agSNGkmjRtGo0TRqDI0aS6PG0ajxNGoCjZpIoybRqMk0agqNmkqjptGo6TRqBo2aSaNm0ajZNGoOjZpLo+bRqPk0agGNWkijFtGoxTRqCY1aSqOW0ajlNGoFjVpJo1bRqNU0ag2NWkuj1tGo9TRqA43aSKM20ajNNGoLjdpKo7bRqO00ageN2kmjdtGo3TRqD43aS6P20aj9NOoAjTpIow7RqMM06giNOkqjjtGo4zTqBI06SaNO0ajTNOoMjTpLo87RqPM06gKNukijLtGoyzTqCo26SqOu0ajrNOoGjbpJo27RqNs06g6Nukuj7tGo+zQqlEY9oFEPadQjGvWYRj2hUU9p1DMa9ZxGvaBRL2nUKxr1mka9oVFvadQ7GvWeRn2gUR9p1Cca9ZlGfaFRX2nUNxr1nUb9oFE/adQvGvWbRoXRqD806i+N5kD3X6PC0ajwNCoCjfKgUZ40KiKNikSjItOoKDQqKo2KRqOi06gYNComjYpFo7xoVGwaFYdGxaVR8WhUfBrlTaMS0KiENMqHRiWiUYlplC+NSkKjktKoZDQqOY1KQaNS0qhUNCo1jUpDo9LSqHQ0Kj2NykCjMtKoTDQqM43KQqOy0qhsNCo7jcpBo3LSqFw0KjeNykOj8tIoPxqVj0blp1H+NKoAjSpIowrRqMI0KoBGFaFRRWlUMRpVnEaVoFElaVQpGlWaRpWhUYE0qiyNKkejytOoCjSqIo2qRKMq06gqNKoqjapGo6rTqBo0qiaNqkWjatOoOjSqLo2qR6Pq06gGNKohjWpEoxrTqCY0qimNakajmtOoIBoVTKNa0KiWNKoVjWpNo9rQqLY0qh2NCqFR7WlUBxrVkUZ1olGdaVQXGtWVRnWjUd1pVA8a1ZNG9aJRvWlUHxrVl0b1o1H9aTQX8r9GDaRRg2jUYBo1hEYNpVHDaNRwGjWCRo2kUaNo1GgaNYZGjaVR42jUeBo1gUZNpFGTaNRkGjWFRk2lUdNo1HQaNYNGzaRRs2jUbBo1h0bNpVHzaNR8GrWARi2kUYto1GIatYRGLaVRy2jUchq1gkatpFGraNRqGrWGRq2lUeto1HoatYFGbaRRm2jUZhq1hUZtpVHbaNR2GrWDRu2kUbto1G4atYdG7aVR+2jUfhp1gEYdpFGHaNRhGnWERh2lUcdo1HEadYJGnaRRp2jUaRp1hkadpVHnaNR5GnWBRl2kUZdo1GUadYVGXaVR12jUdRp1g0bdpFG3aNRtGnWHRt2lUfdo1H0aFUqjHtCohzTqEY16TKOe0KinNOoZjXpOo17QqJc06hWNek2j3tCotzTqHY16T6M+0KiPNOoTjfpMo77QqK806huN+k6jftConzTqF436TaPCaNQfGvWXRnOA+69R4WhUeBoVgUZ50ChPGhWRRkWiUZFpVBQaFZVGRaNR0WlUDBoVk0bFolFeNCo2jYpDo+LSqHg0Kj6N8qZRCWhUQhrlQ6MS0ajENMqXRiWhUUlpVDIalZxGpaBRKWlUKhqVmkaloVFpaVQ6GpWeRmWgURlpVCYalZlGZaFRWWlUNhqVnUbloFE5aVQuGpWbRuWhUXlplB+Nykej8tMofxpVgEYVpFGFaFRhGhVAo4rQqKI0qhiNKk6jStCokjSqFI0qTaPK0KhAGlWWRpWjUeVpVAUaVZFGVaJRlWlUFRpVlUZVo1HVaVQNGlWTRtWiUbVpVB0aVZdG1aNR9WlUAxrVkEY1olGNaVQTGtWURjWjUc1pVBCNCqZRLWhUSxrVika1plFtaFRbGtWORoXQqPY0qgON6kijOtGozjSqC43qSqO60ajuNKoHjepJo3rRqN40qg+N6kuj+tGo/jSaC/dfowbSqEE0ajCNGkKjhtKoYTRqOI0aQaNG0qhRNGo0jRpDo8bSqHE0ajyNmkCjJtKoSTRqMo2aQqOm0qhpNGo6jZpBo2bSqFk0ajaNmkOj5tKoeTRqPo1aQKMW0qhFNGoxjVpCo5bSqGU0ajmNWkGjVtKoVTRqNY1aQ6PW0qh1NGo9jdpAozbSqE00ajON2kKjttKobTRqO43aQaN20qhdNGo3jdpDo/bSqH00aj+NOkCjDtKoQzTqMI06QqOO0qhjNOo4jTpBo07SqFM06jSNOkOjztKoczTqPI26QKMu0qhLNOoyjbpCo67SqGs06jqNukGjbtKoWzTqNo26Q6Pu0qh7NOo+jQqlUQ9o1EMa9YhGPaZRT2jUUxr1jEY9p1EvaNRLGvWKRr2mUW9o1Fsa9Y5GvadRH2jURxr1iUZ9plFfaNRXGvWNRn2nUT9o1E8a9YtG/aZRYTTqD436S6M5sP3XqHA0KjyNikCjPGiUJ42KSKMi0ajINCoKjYpKo6LRqOg0KgaNikmjYtEoLxoVm0bFoVFxaVQ8GhWfRnnTqAQ0KiGN8qFRiWhUYhrlS6OS0KikNCoZjUpOo1LQqJQ0KhWNSk2j0tCotDQqHY1KT6My0KiMNCoTjcpMo7LQqKw0KhuNyk6jctConDQqF43KTaPy0Ki8NMqPRuWjUflplD+NKkCjCtKoQjSqMI0KoFFFaFRRGlWMRhWnUSVoVEkaVYpGlaZRZWhUII0qS6PK0ajyNKoCjapIoyrRqMo0qgqNqkqjqtGo6jSqBo2qSaNq0ajaNKoOjapLo+rRqPo0qgGNakijGtGoxjSqCY1qSqOa0ajmNCqIRgXTqBY0qiWNakWjWtOoNjSqLY1qR6NCaFR7GtWBRnWkUZ1oVGca1YVGdaVR3WhUdxrVg0b1pFG9aFRvGtWHRvWlUf1oVH8azYX6r1EDadQgGjWYRg2hUUNp1DAaNZxGjaBRI2nUKBo1mkaNoVFjadQ4GjWeRk2gURNp1CQaNZlGTaFRU2nUNBo1nUbNoFEzadQsGjWbRs2hUXNp1DwaNZ9GLaBRC2nUIhq1mEYtoVFLadQyGrWcRq2gUStp1CoatZpGraFRa2nUOhq1nkZtoFEbadQmGrWZRm2hUVtp1DYatZ1G7aBRO2nULhq1m0btoVF7adQ+GrWfRh2gUQdp1CEadZhGHaFRR2nUMRp1nEadoFEnadQpGnWaRp2hUWdp1DkadZ5GXaBRF2nUJRp1mUZdoVFXadQ1GnWdRt2gUTdp1C0adZtG3aFRd2nUPRp1n0aF0qgHNOohjXpEox7TqCc06imNekajntOoFzTqJY16RaNe06g3NOotjXpHo97TqA806iON+kSjPtOoLzTqK436RqO+06gfNOonjfpFo37TqDAa9YdG/aXRHND+a1Q4GhWeRkWgUR40ypNGRaRRkWhUZBoVhUZFpVHRaFR0GhWDRsWkUbFolBeNik2j4tCouDQqHo2KT6O8aVQCGpWQRvnQqEQ0KjGN8qVRSWhUUhqVjEYlp1EpaFRKGpWKRqWmUWloVFoalY5GpadRGWhURhqViUZlplFZaFRWGpWNRmWnUTloVE4alYtG5aZReWhUXhrlR6Py0aj8NMqfRhWgUQVpVCEaVZhGBdCoIjSqKI0qRqOK06gSNKokjSpFo0rTqDI0KpBGlaVR5WhUeRpVgUZVpFGVaFRlGlWFRlWlUdVoVHUaVYNG1aRRtWhUbRpVh0bVpVH1aFR9GtWARjWkUY1oVGMa1YRGNaVRzWhUcxoVRKOCaVQLGtWSRrWiUa1pVBsa1ZZGtaNRITSqPY3qQKM60qhONKozjepCo7rSqG40qjuN6kGjetKoXjSqN43qQ6P60qh+NKo/jebC/NeogTRqEI0aTKOG0KihNGoYjRpOo0bQqJE0ahSNGk2jxtCosTRqHI0aT6Mm0KiJNGoSjZpMo6bQqKk0ahqNmk6jZtComTRqFo2aTaPm0Ki5NGoejZpPoxbQqIU0ahGNWkyjltCopTRqGY1aTqNW0KiVNGoVjVpNo9bQqLU0ah2NWk+jNtCojTRqE43aTKO20KitNGobjdpOo3bQqJ00aheN2k2j9tCovTRqH43aT6MO0KiDNOoQjTpMo47QqKM06hiNOk6jTtCokzTqFI06TaPO0KizNOocjTpPoy7QqIs06hKNukyjrtCoqzTqGo26TqNu0KibNOoWjbpNo+7QqLs06h6Nuk+jQmnUAxr1kEY9olGPadQTGvWURj2jUc9p1Asa9ZJGvaJRr2nUGxr1lka9o1HvadQHGvWRRn2iUZ9p1Bca9ZVGfaNR32nUDxr1k0b9olG/aVQYjfpDo/7SaA5k/zUqHI0KT6Mi0CgPGuVJoyLSqEg0KjKNikKjotKoaDQqOo2KQaNi0qhYNMqLRsWmUXFoVFwaFY9GxadR3jQqAY1KSKN8aFQiGpWYRvnSqCQ0KimNSkajktOoFDQqJY1KRaNS06g0NCotjUpHo9LTqAw0KiONykSjMtOoLDQqK43KRqOy06gcNConjcpFo3LTqDw0Ki+N8qNR+WhUfhrlT6MK0KiCNKoQjSpMowJoVBEaVZRGFaNRxWlUCRpVkkaVolGlaVQZGhVIo8rSqHI0qjyNqkCjKtKoSjSqMo2qQqOq0qhqNKo6japBo2rSqFo0qjaNqkOj6tKoejSqPo1qQKMa0qhGNKoxjWpCo5rSqGY0qjmNCqJRwTSqBY1qSaNa0ajWNKoNjWpLo9rRqBAa1Z5GdaBRHWlUJxrVmUZ1oVFdaVQ3GtWdRvWgUT1pVC8a1ZtG9aFRfWlUPxrVn0ZzIf5r1EAaNYhGDaZRQ2jUUBo1jEYNp1EjaNRIGjWKRo2mUWNo1FgaNY5GjadRE2jURBo1iUZNplFTaNRUGjWNRk2nUTNo1EwaNYtGzaZRc2jUXBo1j0bNp1ELaNRCGrWIRi2mUUto1FIatYxGLadRK2jUShq1ikatplFraNRaGrWORq2nURto1EYatYlGbaZRW2jUVhq1jUZtp1E7aNROGrWLRu2mUXto1F4atY9G7adRB2jUQRp1iEYdplFHaNRRGnWMRh2nUSdo1EkadYpGnaZRZ2jUWRp1jkadp1EXaNRFGnWJRl2mUVdo1FUadY1GXadRN2jUTRp1i0bdplF3aNRdGnWPRt2nUaE06gGNekijHtGoxzTqCY16SqOe0ajnNOoFjXpJo17RqNc06g2Nekuj3tGo9zTqA436SKM+0ajPNOoLjfpKo77RqO806geN+kmjftGo3zQqjEb9oVF/aTQHsP/HCF7iV2jAn7/Or/sB+v/8Cg04tCfh2tLG/1nC+v73+wLzlo103bUPevTf75/cdkrMdeHsPm6ux7/97qJ78YeGt/uyytH/7elupk9SP4Ldzwb6/Ns7xOqcOpeH3WPeyfxv31lyb6aonna/UrvMvz1cn0i5Hrj237Hb/dvLbKrivyOi3UvUmfNvH/t8dtHxkezeYcD1f/v5pE/LBEe2e6mbycI5e4wa2SsXimL3EVu7/dtLju5VK15Uu/8Kvvtv737wSMNXrr15QI3wzr7gW8zgQ9HsPmzC/X/73ix12s2Mbvc0a/pGcPazzRZ36RDD7p6Ps3v822e+6V06pt1fjfz5b9953m9w0lh2n/Xutqezj/McNOqLa78efC2is5cqcGbiGS+7Bxd9FcnZ73Xwnrk4tt2jXUwcxdmrLGu8oFccu49s0Sqqs8+8vWp5lbh2X1rzajRn3+D1ZV36eHZP/b5xDGcfXzJg21/XfmJojFjOnrXXyL3X4tu9Vqs7Xs4+fN3lI2u97T7l9bk4//6ch0nODElg9+JNnsZz9iLeLS/XS2j3jD6pE/z7OQRuupXTx+5Rg0f6OHtIn98PoiSy+8qZCXyd/dq6Ui9CXftpzwtJnX1X6IT32xPbPffvzSmcPXqc29/G+dp9xbkjqZ39QLE0f4OSuK7XuQjpnf1op/YRCyW1+4GKnTI5e6xFO2PES2b3N/NjZ3P20RcixH/l2vPGe5TT2TP8qeB7KLndG4Y9y+vsNzLOSDUzhd3Tr01RwNkH13yYsUNKu9frOjHA2RMOzJyzdCq771yer4SzD1zVLX/S1HaPNC1hoLOvuHSgyBfXHmVSzorO3u1H1DJn0rieD2+GV3P2K0lrVFqc1u5+P33qOPvKYvNr9kpn99dRXjb89/U3f9GgSnrX/Rnyo7mzBw7NFZQ+g91b9gxs8+85s7hv27+ufVuf2x2dvceB452vZbR7vFMbejj7z1uxe6/NZPfSm0/1d/YSn+oNGpLZ7nFGZRzu7LmiLBtZL4vd/RdcHOfsi33fT8iZ1fX9lj44zdm7ZPGfESWb3ddf/DnP2fsVGDI/1LUPm9B/ubPPKnVu2fbsdj95tfKGf8+NignXjcth90Kf2u909pbVmm4Nyul6rvrfO+Tsx6qv2VMwl+vzFTbnjLOPqfr1cNzcdm8xbu21f5+j8kVOv3TtgYVjP3D2ucVGXTqYx+7ZGp189e/zmPvKzRl57X6/2PWvzu6TMumD9n529y1QMHw4syeP1vJ5qXx2Xz3zRwxnD3638V2S/HavtMErkbNvPvfr62fXfu7CoLTOfm5FyT+n/e3+snyVXM7er+94z8UFXPdDt75FnH1o+ZvRexW0e/T5kSs6+9L4qeJVKeR6Tib8XM/ZF9xomzh9YddzMnfR1s6ec+q2lH9d+7CSH3o4u085ZbwWYPfWczxHOHusn4E51haxe9nR/ac7+9mFk/MNKWr3Z80aL3f2aMXuBtQr5vp89Vi53dn73kpbOmdxu4f41D/h7Ddad6gYpYTr5z+z501nP/1xZ41Q156sXIRXzh6pU4QG20va/WO/n7+dPd/z8s3HlXJdr+GNY4V3vp4a09oElbZ74615Uzp7+h33OxUsY/ch9frlcXa/2Bl6xQ10fb+n8wU6+51GnQa+dO3da7Zo4Ox7Fu8ecbCs3S9UjNbJ2bvd8Zgwo5zdE0ZMO9zZV0epOL19ebvHPbdjjrN/zjh9XqkKruvy/cgmZ38bELo0SUW757pe7qSz5yiTYe1n1x66u2Kos1cp3mnL6Up2r/z93Ddnf5x99+5Fle1e5t7ZWBHM3svL43DPKnYfs798emdf9KD8qcpVXdflTfmizv588dSL6aq53uO7z9d19hs1793449oP97jWxdm//UgberW63e/1aDre2c+Oaf9sTQ27J4jRdZWz34654+3gmnbPMzzWMWdf3F9f69ay+898uR7++zrvlQnLUdvumbo8+OPs1TJN9IhSx/V9jUrs62H27EE3o4W69tCzD/M7+7rRKeJur+t6T43PV9vZi85rlWhcPbt3S5m0u7PXm7MxRVB9uxe+PmWas7ce+iN9wQau97LmbXP2m7WLZo/b0O7z3/pfd/Y43iP9Xrr2/Z/bfnf2XnsuFD7YyPW8ap4nkadzX5VLWGpGY7tvGTe1oLMHH2pUoX0Tu3sdG9fI2VckX169VFO7R66fcrCzTw96Wy9JM9fnYlGV5c4+ZkKeZp9d+52XSc44+50FfVqfbm73osNHfHD221MPd1wUZPcqJycliGj26yFRe/YMtvvF8IULO7tvpioDKrdwfe6Gjg5y9q8npw9P19Lu2Rf3Gevsq8veG/fHtc9YG2ebs/dbk3ra1VZ27/+14n1n3/C29dw1re2+6nzOKJHM3t9r45LBbex+d9T+XM6eNva31XXb2v12z68Nnf3Ou4Kbc7RzPQ/f3hjl7FdXD9oVOcTu5f1bbnf24iVOHLzv2kuuX/rY2avtiHFyW3u7J5o/KU5k5/MbqdqFsR3sPr5e9qLOHiH7jOvNO7rOCXkHdHD2dznu3ivQye5BAwcvcHbv6Cmfxunseu+MK3DR2SfvDX7zwrW/WLcyfBTnPVJy9ecDXez+Jff53M7+d9G7X9O7us4znda2cHbvq7kitO/muv93lJzt7LdvdY9aqrvdO9eZed7Z623eHTtJD9fzedlKj6hmn9fgb8LPrn3Hx+7+zr7mRrHkp3vafcQ4z47OPiTVsHSLetk97ZlqK5w9Q6GTWXv2tnvtsGahzj4ldfS8lfu4njOd/XyimX3vjYqF0vV13ScDz1d19hm1J5b449rDumcZ6+zeiy+Xu9rP9R5ZWfWEs6fZHr/amv52XxRcxCO62ddOrlV38ADX8zb89yLOPsVvZpO6A13n5LO9+jn77oW3WuYYZPd8iU/tcfbwFxN3iDzY7t8LPPvl7EWP1O9+37V/GHi5QAznOd9rbr9tQ1zv38IT+jh7hI93h44davc5R5Luc/Z0GZOObT7M7teaD1BM5/yTouGUAsPtXqvjtuLO/ura3NlxRtj9UYFDw53dO/DuoheuPcB76RlnP9HNd9WBkXbPUrVxnFjO99uw3sbpo+zeqeiX2s6+4u/MHSGjXc+HPEELnL1o7Rv7S46xe8yBG587e54W3sd9x7qez11u5/ByPkeZqp/75NpzNnvc29nvLJp49dQ41/N27tljzn7jzLk7C8e73iNdZ8SJbfajy6M97jHB9V4rXKqRsxfKWeZVpYmu51XpG2uc/VrrIR/TTrJ7gceVfjl76soHfoS59jdB68rGMfu20F+6OtnujZJ+meXs8RL7RV4zxe7VGqV57exHwjrGGjzV7mN7FSkc1+xlhq/xrjvN7pcOlp7o7Em2PU2SY7rdnwwr+MTZd49InibyDNfnK3Fy/3jO/R9WJ/N91z7g4qfxzp4y7uRc22bafeLPHU+d/ejx0/5jZ9m97/MOheOb/aWPR7Hms13vlze+0539Q6SCgQXm2P1rnX3vnb3AhM6V48x1nWMH1iznbfakG1fVeuHao255uszZP7Z80PDAPLtvL9EhQgLnHLgtQfD0+Xa/PORzY2dfPq1Cu5AFdk9zrMt+Z/eNMrhLyYWu82fdj0kTOvdhtB29fRe57s/JIf2dffic14M+ufYvh16GOvuXnclHnVps913+LYv7OM+HptUnLlziuk/KP1/m7KUnD5/RY6nrnFO2bbREZh9Wbtf8Sstcz9uhXzo4e5SRr5elXW73ZZWGXnf2j4FJ14W59vS/fAMSm73BmEpbr6xwXcebe5c7e5OKA/asXmn3jgVbxfZ1zhvjNhwetMp13uiavI+z9w0MPVVntd2zXn/8zNnX9ot1Kfsa15+/aXv1JGZfkqnwzUhr7d6jzqxDzt6sYtvQe679VpJxOZI658/HM59tXWf3VlWmLHT2RG+OvR2z3u7PS66Lk8w5Nzb/9KXZBtd7s8LdIc4eXDZZmP9Gux/ZkfK7s5efXdYjzibXz+1W/7bJzT6qRtdoL1z7UI+vD5w9rNv8OAc2u+6TEcNqp3DOXWEnfKZvsXvp7TkvOPulpx+Sh2y1+/pHv8qkNPvl7InSl9xm9+SNHh1y9mI3i2bz3W73hr1fFkpl9gd3W+b95Nozjoqzy9nbFRxf6NQOuwfere+X2uxzPm4psXCn63N37NRWZ0/+52a5Hrtcn+vpDfKkca5L/T9VK+12XcdF3tuc/UK0lHXT7nE9J/N980tr9lJRSjYJc+21Vmu3sy+q2qLllb2u82GF3AHpzN7zyYj2q/fZPVaHyUecvf7+ld0G7bd7uqBk5dI7z9u7J/vWOWD3Nv1uXnL2zoVfDMl+0O7zYhyul8E5792LNCbSIbsPbn73ibOH7U4z+Z5rv3MlQ8eMZr93udisrYddf/6GlWHOvjdVo4Vjjrg+v2Uajs5kds+VvVY0O2p3//dlEmU2e8ImU9f7H7P732+tVzl7rcD122Ifd70XNh0tkMXsPo1O7H1+3P1zqHvO2TfODz2y/4Td7w/O2DSr2UMifz897aTrrxvg983Zp02LebndKdfv/zRwbDaztymd+laJ03af/ClamuzO+Sdh/geJz9g94YRre53dM2KF5x9de7bEj2rlMHv2mI3fnTzrOg88zfnJ2a9k6fR1wTm7pyhxfHxOs8dvOjis+3nX533owiy5zO61YrJHpQt27/370Blnv/97UbS0F+1+9WfmdrnNPqnBxjhhrr3SpdCYeczud3yfz5VLdl975f5GZ7+c93Ty1ZftvrFappp5zd5i5bV0g664zmMLj/xy9leJH2Stc9X1+2OuXeTnnLdHv8yT/Zrdc7x9Ujaf2cd//lgw0nXX+3dih8/OPrj6z+L3XHtYYMX5+c0ee4XKbb1h97OtBpTzd97Xrz2rjrlp9wnFIv9w9iZJotZpdsv1/kr7bHkBsx/LF6Ox/227/wpKWrug2aMViNUi9h3X+bb6+iiFnPdmcq+Q5669fLHZe5w997NYXfffdV3fQY86FDb7yFEx+0y7Z/dJQSPTBph9bqTog9vdt3vuwuPuOnuiepFHlQh1PZ8bfJpaxOwLBkaYmPiB3Yt776pU1Oynu4dN/+jac+58FLWY2bP6f5138qHreT6j43Fnr3P0zdIFj+y+3DNoaHHn+sZ/vKb7Y9f1qrq/RAnnvZz+5uaKT+xe6uJAz5JmX//9zK40T13vu8trjzv738H7D/527YlWlRhdynluH9tw4vIzu99eXrqy87/3DN2z4Pyq565zadId3mXMPqDp+GsDX7jOUQ2n33P2o1v63K390u6jdz9dHmj2petbPs72yvW5G7a8U1nnc1qp2quIr+1e0Ot24XJmbzih4Me7rn376kHRy5t9R0jqH1ve2L3sqvm3nX3z06ga89b1+xvkWlPBeS9/fhex2Tu770sQ0K+i2YtMuRzD/73rvZPxSJVKZk92aGu82B9c596nh9NWNnuuXtMSP3ftv+YFhDn7pB1dU+7/aPfPS/JdrWL2wJ7VMkz75LoPy25YV9X5vnZky97us90Phy4fWc15v3SM6lfii+u67EoeXN05Zy58VCjxV7vHSe9boobZlxXfXeKja2/TZ3aqmmZ/Um1iuZPf7P408gKPWmbPey6o6oLvrvszWaZnzt59Xb463X/YvVjswqdrm73P+yiNK/60+9LstzbUcZ5jE24Gp/nlev+e14y6Zv81Ynm73659SuHNA+o5+7XOXS7/tvuCCx9b1zf7ia6Fe68Ks3vs6wdqNnCeG00iDRr4x3UOWZy0REPnfptybkTtv3ZPNiJGrkZm3x5tyvhsemDvn2vjUjU2e8VDtaZFDGf3vfcXx29i9pubfebede3NvlaI0tQ5X92+uXhLeLu/bjPuj7N/yDNj1egIdveZFPylmfPz2Vt9Y1MPu6/cdf1Nc+f7bRdrR35Pu9f3e/QsyOx3ip3Y5xXR7h/rjHoU7Dw//foffebaM3Y5F9rC7JVK5z6zL5Ldj1zfcL+l875r9+zS1Mh2738tZ2gr5xy+dMbNtlHs7nuoxsPWzvPnZenQ4lHtXvt1oqdtzB6Q78vTRNHs/mnZ4FdtzV5w5II3H1z7muITP7Zzzs83Aj+fiG73YvFK/gpxzocpP/ycH8Pu3Vsv8Oxg9lRNpoXrHtPuEWcsid3R7NfH549cMZbdN7ytmqyTcx1X3oqZxsvuuQ+sydrZ7GdW9oz/27VXarg5oIvZE4z29r0c2+6HErWs2tXsk8tsTLkqjt3Llz4T3M3s2e4GZhgY13W98jzo093s14qHZqsdz+6z/FZM6WH21t275M0W3+535qVc19PshztFLBTR2+7Z9lY52ct5/mSfVvyua6/0OO/T3s65Yk2qslsS2P130GWPvs458P66yqMT2v3z5PRp+pn91FG/Wk197P51v1/p/mZfXmdfg/yJXPdzgfBtBph919Rizb0S2z1anZETBjrP2y5HWj9z7XNands+yHn+vy/ecZ+v3bPsvxQ62Oz1PA92n5rE7n1XT4821LlP1hTo1zap3QMHJM03zOyZQzcPKZ7M7pXHtwwebvZZszOMTpTc7hUzdp82wuzfb8yZ+MG1h19c7sRIs6+bFGPGiRR2T1/u2a9Rznv2cO9581PavV+XcjnGONe3+bMl3VLZ/WCHni3HOuecjpVXV0ht9/UTOy0cZ/bbj7ZtTJ3G7h4Z8t0Z73z92xLt+OXa+444nXCi2Sc87L3vUlq73wiXtdYk5/nf7NaRlensfvFp4+mTnedqzrynB6S3e5qRQTenOO+pwPEXa2Ww+wT/Qkmmmf3k4ifXs2a0+4XyL5pON3sX//z3PDPZfWHsNqtmmH1npFGP77j2/bcOf5rp/Bw8b7zcnNnuz398Ljzb7O+zpPowKovdrx74O3qO8/nq1eZbk6x2Lznwya25ztfzZENYvmyu58CY5Znmm/1Hy08RvLK7Phd5SvdbYHbvPzmjPnPtP84cvbTQeX7Oa++1L4fdTyxJnWGx2ZOWXOk9Nafdj8YMGrjEee+8vO/bNpfrOVN/xO2lZp8+Im6q4rnt7hc63m+52VP6lMiQKI/dU73qM3WFc86Z2jHbB9ee8XzlLyud59632XlO5LV75HvRzX80Cw34k+9wgfl+rudVq0271jjnlqrPinbL53r+HC6WfJ3zfi8cuUyF/K7vt+D+4eud89iXNBVT+9t9YPoMHzaY/XnHItV/ufZh1wfW3+Tcb2tq1b1UwO6HZ586udnsr+e2abyyoOs5cMwj/1azdyjSJ3hAIbtfWpVj1Tazfxkzsm2twnZPMLNqkh1m39hncqesAa73wqOWk3aa/WzkWT08i7iek7e7Rtlt9rYZ5/a749pnX+41aI9zrrg1Z8jmoq7r5dszbK/Zx8SZOWpUMbt/j9yp136zpzg9cUKT4nZ//yL4xwGzB4UNm5avhN2bx67T65BzLlrUY06sknaPdTEw7LDzedkUvOipa1/dy3/QUefnn67Kir2lXH9+o8xRjjvX/Yffuiml7T7jUvJJJ8x+N0XiLW3K2L1eap8kp8x+f8bPncUC3e8771Wnzd6x1rX9PmVd7/c1ifKfNXvxmuuOvnftQ4amPXXOuX/GDjp9vJzd3w0p0OCC85z8VvXivPJ2j/O77seLZp8zKtn1rhXsvqTgsJGXzT6vyPM75SvavcGMfSmvmv147LUPU1Vy/Zwbe+675jyXvrZ7/tO1Z3xer94Nszd/lvHtxcp2X9v/8M+bZl9159GnFVVcn6OehebcNvveczN+9K9q9wFpTwfcNfvLrYF/a1Zzvd9vtntyz+y9R331yFrd7jkepR0bavY1JeZH9azher9P+5b3odk33Cnudce1dy/+4OEjs28q+zj+5pp2L1ToyYQnZj8/bEDiUbXsHvOqR9Fnzjl8ZMIUTWrbfUH9op+em31t4Jq0+erYfVWaOctfmr3XgQKZY9W1+6OB3g1fm73fk2M5nrr2cIc3er913qcbKvjtrWf3Xf7tL74z+y2fCwWn1Hfd//6Vx30w+9uEFYu1aWD36/FqVvhk9i1Lj5cu1tDuyxINivnFOS9tL1jBp5Hr+Tz36sWvZm9aem3V96696vsq07+bfVs5n9rHG7s+j82+N/zpnPf2DGgwr4nduwWeSv/b7HMnPmratanr+fzpxOcwszc6VLRl+WZ23735y6G/Zm9Wana7VM3tPu52lcnhwoUGpI//vtNP135iz72gCGZPmbZIj4tBdk+ycq6/p9l3dRjdd0Ww6z75OD52JLNXen1xUP8Wdn/1YtvLyGb3mxB3RM2Wdj/7IO6xqGbfXa3y2CytXF9/phWLo5s9cdYRkzxa2z2ST9fBMc0+xnv39Nuu/cSv3kFeZvf3eDFnUxvXezbNvsA4Zi/1NvaikW1dn8fnBbPHM/ux03mWN27nOodM/ZHQ2+xHJldf4xdi97j9vkRIaPZihUI2xmxv92+fc3zwMXve/YO2PXHtTcttCE1s9tFek3bv6eD6XFzueCmJ2VOnn3Ngcke7T73b/Vgys1/9veBo606u88yew3tSmL3t0AWninZ2fV4O1dyayuwrd8w6n7CL6/oG5NyQxvk6x46/8s61vxpWa206sz/60e/msa6u99SL42symD3Ll5b35naze9adQ9ZlMvu2rhUedenuOoeUHr8pSzjn7xvJ/LxcD9f98/T5jmxmXxLq+SZlT9fz7dmkgznM/nf7zQ8/XPvUOePO5DL7kLfLv17oZXevWndv5jH7pF4dfi3vbffjLQe88DN7v6q51L+P3Vul6vkrfzjn7y9971Gzr92X3zgRq6DZo+9fHiVLP7tnv9UhbWGzJy9SJ6ZHf7tv7dkpoIjZvz7xiHvbtT+KfL5uMbOvWbYqwaYBdm97c3iPEmav3qOs78iBdv9bcN6MUmb/Uvlx8saD7F52aNzdZZz7Nm2PNH6D7f4rwov7Zc0e5Z1nxphDXO/lqMkjVTB71QVjsz5x7eVf7cxeybm+2WPl2jPUdQ7/tr1+FbOvmDLKb/Iwu7cYkHh0NbOXOfy3QOvhrufMjSe7a5j91saQIkVH2H1n5YTvajk/t5rXSyQcafcyBbakrmv2gUvzB75z7etf7Kpf3+znpk6tcGyU3WeuzTK9odn7+76qMne03TfdiHGlsdnjZ/Ov2WWM67m9p37cZmYPf3hQ3XJjXe+11YlrBJl909kjDVOOs3vol3IzWzh/fgk1++Hae759e7+V2ff55mlxYbzd5z31zNDW7FvKNWuzfILdw7JN6hJi9rnHRrXvN9HuRX2nHupg9mWDVneuMcnu8cNixe3sXN8uR7tnnmz31Kk9gruafdGkG70jTHGdHx512t3d7DsuPO5/y7XPH90gbi+z50v9cvDGqXZv1P5ouz5m9xn0fPiIaXb3DF19qp/Zi96/P7rRdLv7Z4uTcaDZJ2S/MD7vDLuvWPdj9GCzX2+9c3KMma7zw/pm74ea/e6g2dMfu/bLQ6rUGmH2uu26zd49y+6P+x05MMrsf5KWnT9ptuv3v9ubeazZ24zxXtxqjus+zBAwe7zzfa26vazIXLu/6RMYfZLZ37aduSrBPLu3LHiv/xSzxzhZad1b1950558v08weefOfjUfn231wyTUhM81eItmyrXMW2L1TzucvZps9SfhSOzsvtPuNi5tbzDP7w0r39pRdZPe6Xb2eLzD7ld8hB1Isdl2XkL+tF5s9U9i3w99de6VYg94vNbtXyZ7Hzy9xnVdXzuyxwrnuJz6eWrbUdc4fWzrCarN/6t38XN9lrr9uzLET1jqf92rnLlZfbvdsfdsk32D2O0WzX820wnV+y/R40yaz1y846kb4la5zVJvvpbeavVXeO7dvuvac41be3+5c91Rp729Y5TqvPvnec5fZ239v8XD4arvHPvzMe69zXZYvfNJwjd379Oi+bb/ZI6S9/DzPWru3rrWy9iHnuRT8+1X0dXbvv7Ff2BGzd6yf5N0j197wxvclx83+6leej7vW231lEp9Kp8I5/71TqS8TN7ju88uhv86Y/Z5Hxe8tN7rev2WrrD7vvKdqVPgVsMl1/rnSpsElsw/zLfHHe7PdLxzOEeeq2XNWzBnurWs/3GrJyetm73I3gcfRLXZ/n+Do4Ftm77v3c8Q5W+3+I9nUInfN3vnBiSidt9m93+X4CnW+34JTopfdbveUQ8ocemj2QQdrxkqxw3XfDs46/InzfG7mFee7ay+R6mTF52a/Fv9gvPM7XeeQrT4+r8z+8VTLBMt22b3BqBRP35j9RtdIifrudp9DHmx9b/ZqUeb6Vt9j93al6o/45Jw3emRIlmmv67pcmNjgq/Ne3rImRfh9ruv7eHCeH865ZVPa1Ddde5Yrubx+m71xs+lpN+y3e+kPi978cT6/u/6kH37A7tXHXjobLrz5vKysn6nhQbt/+nF4g4fZ76XcmCXPIbsfGNFjWqTwznn7d7boh+1eZ/SHflHN3nhAoZyP3Hu17K1jmH13ma65dx1xfV8589b2MnuGoMV5Jx61e4ReHoFxzX73+PF8LY+53u+95xT0NvuPpg/9A467zp8j/+b0MfuM9J8Kep+w+5HPWTP7mv1Q1J+F37j2XzEzp09m9q6/vhY5ctL1/MnwPW1Ksy94/aLY7FOu6zVtSvo0Zk934VKJTqft/nF5+CzpzX5/+sZSgWfs3mRd8dyZzD4xz7Ayyc/a/d6v2oWzmv3LrMplv7n28A+Ll8vh/Hx2epU/d87uwZs86+U2+5DBxyosPW/3Rfvmt/Mze+iLjpX6XLB7hdpxB/ubvda9OFWqXXSdcy40mV3I7A2rrqya8ZLdK/cas62I2Zv55ake7rLdry+dcqW42Q/021bjhmvPuLT3l1JmP+aTpdb6K3a/f7KYT1mz7/gxo/awq3YfG/QqoILZT8b6WafBNbufPNmtVWWzJ6tQuV7u63bPUObp1Gpmv7podv1oN1zv95wFjtY0+7dwdxo8dO3Lb3b7Vsfsg+rFbrTzpt3fjp+VuYHZgxYUaDzhlt1XL1vevLHZhx2s26TFbbt3bD9/fjOzb18f0rTwHdd7s8Dgu8FmP1ive7P4d+0e1KB60tZmb7CtS/PXrn1nmnhN25k974bgoMP3XPfD08MrOpj9Vf4KwbPuu55j75t/7Gz2qCXSt+gYavcv074X7m72BPu/tSjzwO4eGQeM62X2obN3t0z20PXe+fU7tK/Z95zs3Oqra+/foEPegWaP45+89dlHdo++8Pa4IWa/fOdA6yWPXeeHBEVeDjd7gUU12vR+4jr/x51fZrTZe/a616bqU9d58smPlePMvrZGvbYZnrmeD/erxJxk9hepzrTVc7vXrLai61Sz57yavd11165Jf+7PMHvfOiPbrXvhOoe/qVFhjtk3L7jabuhL13th2/q9852/7qz4IfVfuT6nATFyLDZ7Pr/AkFyvXeeNW+2XL3Oeb8EdQqK+sfvB6zeSrzL7Y+/RIQ9ce8jIwLlrzV47/8yQHW/tHrHoYd+NZv+1Z1bI+Hd2j1e59PwtZq82cXxI8Hu7J498PfUOs19f2j2k0Ae7b9/Vee1us799UTUk3kfXfbIzaf79Zn9fPkXIK9e+osbN44fMnmnfw3aHPrnOtw+W1Dlm9puZp7eb+dnu2dcOenvS7OlHFG7X4YvdB0brMuys2fPvv9G29Fe7T6jQK8VFsyc5GNQ26Te7Pzkybf8V5/PY50mbL67d8/Cpxjecn8+DWm3OfHed52cm8Lxj9pF397Re/MPux2b2W3Pf7AGN47Xu9dP1uYsfrtYjs5eo3bBVlV+u51WDBR7PzF5ly6yW6X/b/euRBltfOtex2ckWf137rdn+rd6aPWm1l8HXwlw/h9z5kn80e5TOYUFr/7i+zvu1bn0xe6WN4YOG/HWdz9/Nmv7D7E1+/2hWTw/tfbUlfO0ws88v9qhpznB2zzpoQuJwEcxzoNO+JlHC2z14RcmHHma/13N041DX7tsz1ZrIZq9Zumyj7RHsfrlkpp7Rzf7mxM8G4zzsHqNxw0Avs29/Pad+kKfdS/vs841n9v0LstcrGNHuEQ6X+5TA7GGXttaJG8nuB9ZFPpvY7PU6Zq790rX/yvJ1ZTKzb2k1pebByHbPPSn+qFRmv7ryTfUZUez+PHPLdunM3itZvmrto9p9SqV31TKZvcqOzlVKRbP7jnJrCmUz+68mCyoliW73M50WZMxldo+o+yp8du2VvM8m8jP7u7lnyp2OYfc9w3PFLGD2rNHOBC6KafdxCa96BJg9ZcCe0j1j2T0g0eY/xcyeNN3ckpW97F7u3rlfpczeYkNI8XSx7Z5+W4bfZc2e/UT2on9ce/VPR/5WNPv8eo8KX41j9xLPFkasZvZTtYYVXBPX7p0eHfSq5VyvlT7+g+PZvWb+tEnrmb1h4bl+dePbvYX/hayNzL40fOw8ObztnijfwWLNnK/zUZeckRO4fv6Df9ZpYfY2Z09ku+/aS7Xv26WN2duujZ5lW0K7ryxXblJ7s8fpUCTjWB+7D2sdtLmz2b+Ha56ueSK7V0ly9np3s6+u1D11gcR277d18N/eZl9csleKOL52HzhkVMYBZq90oW3SF6797O2HtYeYPcqdiokPJHHd59HHjRph9mQ1kiecntTunq3G7h9j9jPpHsQLSWb3a0Uffptg9oAiE2OXTG73rc/H5ppq9qmjssf0TWH3eOsndppp9tsf90X95NqbPH27Za7ZvYIKRjqV0vX5Cl32c6Fz/5xdEWFhKrsPfbOr+DLnPvT2UI/Uds/fOPOEVWYvlbXi74pp7D5t5O/768z+5M+w72nS2j3S7sy5Npu9T5d1n3+79rCS+0ZuN/uqXkfeX05n99Demx7tdj6/v0+8XpXe7knWRS16wOyfn+5+PjCD3VNkPbHwiNn/ppr7uHZGu1er8NrzpNn7zm8bmi2T3ZM16NHurNn3lMh4J+L/Yeq+46n83z+Ay4wGkSJ7R1KIKBwjK5uMsopQZmYK2YkQMj+FyN5EiKiMlJBVGXFEVmVkltHv8v3j937/+3zcj/vc531f7+t63RyHMPL5Eqcv3eCb2/2fv2IuFN+h8gncqdalt/I4tg4WKTWD4MKWa533RZCHWPQcHwVXH3J8b3UCufvkrZxx8DdMH1ukTyK3V43lnga/S8r1mk4UeU8Pc+ZPcLdgy/opzPcPHuRbBDe8e7+6QQy7XyXBhSs7/XMlqyJBHPl/GXYSf8Gn6guLHU8hryB/82YbfKwlPU9JAuvngvEGZOSw7zYCnh6RRO5xeXSKCnxNVSdtEfNvG1n+e8E3E2hS2k4j/6o5eeQAeE9XxcN0KeRNWVm1jOAto6rRXtLIVy+MmR4Bpyt7d0/rDFb/Jam7OMCHhaSCec8if002VMADrnzmod8G5oez/zM+Cn6hbfBmjwxy8YmvVMfBSRv3u+XLIveiz6kTBT+9+4RjgBx2fwOX3STBP0SdtTUmIB8OfH/8LHiY9KnLIvLIq20EfxLAuVaYLlEoIBe4Q19yDlymYMZgGPNQ1jB3dXA3xRytZ4rIhePuyWiDK+Vqq0YoYfVzkonaAFzgzTf5K+ewPqB2esAY3N/X6oyUMnI14akiM/DUxg5xWhXkwcKCIVd21t+D9/gk5g3/bVvYgvOH2vK/VEWu3XZN1gGcOPCQI14NeRjldY4bO+tpVsTkoI68MYeEwhP8/nLpAcXz2Nz5e3LuFrhtZBoNswZyP/2NwTvg7nu9yRYwzyW50h4M7mMus9mqieUHI+vGe+BS134sp2ohP55FVh0FbsgY+stDG1tPGaWKOPDrWtSTGjpYPnHhKU8C31q/OcKti9X/g+xnj8FDSbo//cG8++f72oyd69c82PVRD3nqQHxTDvhKs8LbXH3kIznk3YXgXvoXG+8YIJ/IZvlWBn7466VqwwvI/woMrVbt7CNNlVJhQ+TX75yjrQMXi2DJJTNC7v/X5Ngr8GrfwbRBzIN/MWu0gN/aG5xYbozln7x7zu/B9bkYo++ZYOfxy0noAt/7NCbU8iLWt196vOoDv3JrxVfyEvL0muW5AfDV+0oe+0yRP3gtwDUKbvXmtsME5qyCtMYT4ILkj6zqzJBHyBfFzIA3SmVdjDPH+vNFks65nfVXTdS9boF5817aZfD3h11V5S2Rt/f0GPwB74g5JXf4MpYrPhk83gavTyGemsNcgjN2moyCSChj9jzWcgXrb7sipajBq9YWuR5bYXXSrhy5H/zNEWMmd2vk6l2N4wzgDdez9p+/itzMYkOOGdyvfYCcywbrh+/+pLKDN/Gv/V3DnMa6noQXXN5qc6HTFjm7zzk7QfDEqzOT2XZYjrJ+2C0CrnewYdj3GvKfjgWEU+C/jG/3GFzHctRMRLk0eD8je5uQPXIWQUkBArjVqfyXuxzwflX85Bz4YArLsy+Ye0r/ZjsPfkPYM6/UEblcEUW6Dvj5nqrUu05YPxSY4TEEv+n6Nc7cGTnjVmrRJfCV+R9hp1yQx/jxSV8GfyY+5rvnBnKTvwHvbCh2Pqf30vUb5lnN5eYO4Ocy/W1rXTE/XrtyAzwl+ahpjBvy+3eTY73Aj/2o1rFzx+qQU0/UFzza//g5OQ9sv2tO9AWCK50Nl2L0xPK2mYFvGHgNWbvwT8yXnqQLRIGrNfzmbPJCfszh/ac4cIIuCeN/N5Fb7+0PTwbvTVva7eqNvK3/lXwauNCDD5uqt7C8yvRg4ym4CeX9BfbbyFv5FF7kg5vPiEysYF6p/cW3FPwoW83nDz7Ib04YKlWBJ9zlb3/qi/y0VN2+OnBnmtsNt/2w3PWIevgVuGNURbneHWwuWCiWtIKLLndlHfVHvthjG/IBXJ+nJ+kf5oLnvS16wLX/1UR8CsDqkNFb5gt4vGOIX3Eg8h8hduwjO/tI59SNkCDktbOq5BPghpFtVqbBWM5POjI3s3N+KgVDsRDkA8PEoXnwB1mpqtShyB32PO5YAedXG5EmYn7HQ6tpA5zhE6lw9V1svlxfrd9FSSQoiu1hjw5DnnQm+QUVeIT8Gq3NPeSD0qfq94E/m2jdJROOnLam/TUDuDPp7SX6COR6lJfbmcEt/ei+z2D+wvP3Fw5weumIT6/uY/VjHDLLB76LeeptUiTmm4dIhMETSQRqnaOwPFlVyCwGLtCrXqAcjdVPn9JpKfAVd51HrA+w/FxANJEDP9F6OnIJ8wdhwXfO7RxfROr3PgZ55MvjeefBtfaUOWXEIjdPJfbrgp9sJlh4xyE/6J1KZQwe9KJcW+chluvSbGTNwQ90UxD447H+Y3XmpjV42uzZE1uYyx5kq7oO3jNjwNGXgPwoBe2aC/i5ci3awkTkSncPyHqB+/AI/gtMQp4yzRfmC/6de3LOJBnbF35a/UHg32JDRk6kIOdPCBcIB3+pT95J+R9yl8Ahvwfgxao2L79izvrw3JcE8E/6uUWVj5CLsrRKPgbXNHr/6P5j5DX2V1IywWlOdUZYpWJ5r+cwST74346KW9JpWJ/JmrUvBV+j8L5Gl46c8+TQQBX465dsxlOYJ76d1awH3/P5qXLDE+RRdUea34C7itOcSsjA8oC5I+EduF+lLrdjJnLyLWJDF3j22Zt0Sk+RB/68pfhppx4K/LaZs7C85yv1fnjnesasfy5gvrzFZjQOrtAkOPg2G/n462OTM+C/T3S9TctBrshsfXsBfHb3hSrPXOT7DVvo18AFT9RkauZhddJqULoFnhq88YAnH+u3L2l1yamIBM4pNr+/mOdE/l2mAb95hsO+uwDLG8GMaQfADS3+GeUVYrlx+YoGE7iJeIOSfxFWzyJjm+zge/8zPWlUjNwrJL6CD3za7TPr8RLk8ip+jsLg2mmi1OSlyOlaHguJg0dvXl8ZxLxPb/mnNPiEU8BYeRny27Khz+R3rr/Ho+NeOfLfX3TvqIKb0ajWWlYg5/M00dIGj1tZzZJ8hnyXdSqnITiFR0jMvkqszpc4103Bo2zmfSYwv3RzotcKfD7/tF1dFZbnCTPProMPcprrxz1HTkg9mXwD/Ee+pez1aqzexuoCboLn8RKOytcgnzSNdLoDfvfGBv3hWuQNFk8tQsGnHOO3fmHudob0QiQ4/R/q6eYXWA4nFGg9BFdcNu15VIfVYeNjjf/A/5ONqHerx3L1niGtDHD+yvgc9ZfIndxtL+TtrL+kTwxnA/I4NXnLUvDaLNnba5i3D113fg5+a3jIurMR+arfROBLcGK9oVb2K2wO+penNIOn8BZK+r5GHirWU9UOLvV7iMPgDdbHJlU/9YArkE/vFmpC/u8nw8YAOIt01yJJM7bfE0/zjoHzusQOfsb80KlKvWnwRyEiTSUtyJ0P3Q+eB68wzikMbcVycvTL2lXw4Nb1h2ZvsRz1U3N5C/xgKZ+veBvWB4LOiFPsJhKM54Wv0rxDLvUkzGsv+FGb/ZpjmPckSjQwgOvNvROveY/lyWplGhbw0GuWLA/akXfo1V7iBrcq7yS1/YC8qTq2VBDcM+fwrEwHtk+lP+4WBRfnO9PN0InlvaNetlLgWzSSNbOYL/SFtBHA2ST2pL/uQl78YEtEFbwroDY0+SPysPyxFO2d87fLO7p0I1d2F6M2AjdZfKKv0oPlWNlFX3NwqY8DUmy9yO0ucqxcBa8694N9GXPNww2ujuBPjvWTt/chp2/r/O0O/uxK0mxGPzZP6/W9fcDjm0Q/en/C5pGyBmkweP/xrCqdz1j9VNTGRIAv+M79x/8F+X9G6Txx4JpRdAFbmL8I2HqRAn72LI1N3wByhqB+o4zdO7+/HlIvHERuVnh0LQ+8hBgsEjSE/LzW+qMycKcYMoaLw9h9qVFWrtm983mJS2snviIfkqVfagT/vhI2RDmCfOy4ZfZbcDPryMavmOsMHDfrAtd3s3taOYq8N8b/8Gdw122msPtE5MzZhp9HwDXGn9hbjSH/YFv+aBLccnNbS/oblg/546/OgTPyiYvSjSPnlvgnugreJCV7cApzxvElsm3wLHq2tZcTmAe6D1JQQw6J6hmI/47NL0v/qn3gMaHm9Q6T2L7rYkpgBC/pe5mmOIW9Ly6FW2zgXEZLAczTWB/L+XOFD7xxYstqAXP5EiWd4+DKpl/PvZ1BPhPOqSABfjE+lj9tFuvbEbGnd75fMtb+yG7PH8hP/UsSUwa/VnNzRuMn8j1nJMS0ds5vkv+e+xdy3vv2kobgPrylhX8wP6wkTTDfOX7tXuTHOeQ+FZmaNuDtBZJOufNYnxfMs3ACZ2Ou0bqzgM2RP+c9PcElWfeJGC5i+8U9MsYPfCNKYr/wb+R/vzuVhYLLqInOkS4hP/50oS8KvJKXpHMAc+kNxu0EcMqtjOKyZeSFcqPH0sBfFxyKCltBvq9ByyIH3IzKwtFiFev/76wSSsDP/rypIbGG1VsFR/dz8AKxq0J715FLvgs90Ag+9oybehzzcvNEo7fg/9SeTdX+Qf7qlf6TLnDadsbWmL/IpxTr5z6DUzGcz7LbwHLRqT4FInjrH50guU3kdyYfpUyDHzQRuMy4hfxn3sHVBfBMyo+yPzF3+UAw/gN+YESdpWkbeVAG+8tdNETC+PP49ZR/yJ94VwjQgEdeL+u/QTKO6jNzM5Ee/Grn4wrVXciHnbdpWMDLXl58wE6KfFKkNpgHPJV2ymEF889iIruEwc89Pqf2gQw5R7tF8CmanXzrxvuUHPlJNU0aWfCiFheS2xTIff6uJSiDi9DLDutSIncWs+bXBp9eH6gWoELuJf+gzgg8RE/l4Tbm/zz8DC3B45YCnft3I3fjPLFsB/7geaR6ETVy6YfZSTfAR1xteYNpkL9g+0a4Bd61uf/fxT3ITekmfwaCp4jcHTi5F3lgXUVaBLjlSPszqn3Io1zUDR+CC42PRo1gTvQtpHsMvsDwxq5qP7b+4oMfs8CjVd0UImkxn/iUUAzefmHhiDUdcjlipuVz8Iv0MsvSB5CbeRFEGsG7jQw76OiRx6wV72oDr14/mzOFuXjl/MBH8Jud83caGJAnb1JUD4DbltwwTjiI/DDX7+Rv4C3ODSccGZGTuFX573zvbf33L1RKh5DnEvQclsHNZhpHmQ9j1znYaroFnqnjXr2AuWPcYT3KPUSCy9zv6LdMyHlqzmnQgsc9krNNY0be9UjnPBP4G2EjWc8jyGuipLW5wB/dlD6oyYKcb4TMWAg8X296lpsVucXX0qvi4GYxVq//YJ47JHdTBnw/dV7SRzbkSoIV0crgFLE1TrnsyD0O7SnUBrffeqh0hwP5raXzH4zBDXnOMBtyIo+jc/99Gbz5c8HcMS7kGy9D2OzB0+a/N5FyI/+lEajlDl5O+JE8gHkWjX2QL3jd4xdOZTzIjc7L14eCXxwyUAzjRX7GlGIjGpz54/NDFnzIg6NeyCXv2fk7/fHZU/zIbUSvhGWAlx4faNgjgJwu6W9fAbgAITnuG+ZV++8JVIKTmXDa1h5FHjBN4/8S3FjTVTpGEPljj5ChVnDehYi9dkLIT5OtynwE1z3sNCp7DOsDE5efDoAXJxyuOCiMnf9a6/5x8N9yESE/MPcdFfD/Cf56stnozXFsn6bcXV4Bz7789miKCPK+yXHnf+B0AbF/XU4gdz2sMLd7L9QJE88HlZPIg3zS3ejBOzd9UtlEsXqzJtlkAY8heey8jLkbu00EH3j1ahChXQx5yFYn2wlw+YqTdJni2PG6hOdS4Acos4nep5Dr21UbKIKvNo+W6Uggl4yTWtUAz35NDOCXRC7K1ZxquHfn78JydbcwN7hqet4S/E3DKc6+08gLC/9tXAPnvxo2XyCFXFm1osINXDY2vSFQGrlwmIezL7gqk1+UyRnkdnWqJ+6CO7ZzmJ04i/WNU8dXHoC/8A0TopRBvinP/2rne7EFt5+tD2NuLnYq5il4Cld26zNZ5PwmJjbF4N01l+Ij5LD6J40nVIMHJ/RduUJA/jNgmv01uFI4/QkpeeQTPMZk7eAPbQ5u7ldALnV27Gcf+PDGQNt3zMcO3RsaAXdgs06oV0TeT6nVNQ1+61HplYdKyGlMRdt+gwuoNh63P4fdX2vJ1k1w38XYP/LKyLddzN9R7iMSbBwEWg6rIE/7mNtNB14X6h8zhzmh/9DoEXDZA/+Ztqgi/9BRuMgLHjfixf9YDZvLNNeoT4CrNzAuuqkj1xvU5JcG/xLgVad+HjljtKmaEnjqanIopwbyK54JLlrgX+d9ddYwP0TceGQM3irDzdypiZyBPabjCrhL8b1vWVrYOvsbkDuC9x4oK/TRxs5voCrvBf5JOtlDXwerq1nHwABw5RV5WUFdbF7Et7yNAO9jKKAg0UPu8ESfIQGc1aa34xPmBy0Zr6aDZ9bUJxTrI5/noH2RD9711cY8xAB5p5gCYyX48tNOXtMLyO9MFXk2gGsMrv4QNUTeEWUw1Aa+pDNSsdsI2++ekiq9O+fpDbk1irnznNHzr+AEiVnCc2PkWmrPj02DFyjup4wyQT7bY5jze9/O58kX2q0vIqcckeTf2qmTx7GxZy4hv1x7qZBqP9T53QWjA6bY3Kx8I0EP/stoH+s05u85brSwgvMNTxEbzJDrnr96SQDcZ8I/O8EcOVnIk2VRcBa5/uuOFliuYOWPlwGnr546rmSJvNV6VWrne+1N2aoXmS8jl8mnH9cD75FTqlrAvFjGN84MXHbmvvfbK8ibnU6p2oGrz8acTbNCfiJSZpcbeCSt/raHNXY9UwmvfMF9+bteaVxFntOlEBoGHrBJFcxtg+3Hhwo6ceAjFpvn/mCuEpLIngreeqSI8qMtcvYFhaVccJ2tQ205dthcEFDuqAD37JUJ97uG/I93RtFLcDZ7tvMXriOXkDCJbQNnjK6hOWaP9Y1Ce59e8D1797fvckCuemzQfgT8vzK2+18wVyPPs5wBl1ebOl/qiPWlu/0Xl8GvptvT3HVCfoTk6sV/4IZBue/MnJFTv7lgQUML/fNl6j1xF2yfsuRfYwTXZNVSpbmBvMTUypsT/IZDFcUY5l49gVHHwBO8PjVVuyKX79qdJwkeQV0WGO2G5diM9bcK4BQLCgQbd6xvJ+v/0gR/snJ/86wH8gZyJiYT8JHvUbX0nsj/O3VezRpcIFLVawbzxZuzfs7gbc9qxF55YXmb/W/NLfANgbG5xJvIV7xu/wkB//LsVYGTN/LIbkdCDLgVt7HtuVtYfvDriXgEHiSXxcVyGznT+6KhHHCq3tzhRcxnKbdEK8BzC64ktfkgvxDcHPUSfPNBt166L/JX0eTzbeDhWmt7vPywdfNuMOwDf17c06J5B5vXMUuvR8E/3rb25/FHvsybLf4DnNY/X+ov5up3+wpWwe+HZC1+DEB+lyxYgJQO+rDhhYLcQORUP8vz94Hz19VY3QlCzvvASpQZ/K9/9xHDYOSnZBIbeME9ndJ6joUgj1DU1jsJflKLI4I0FLn34v2Zs+D50wYKA5jrJOuGqYKrU8usl95FbnI3VcgA/KL355K7Ydgcp/HotQDf+4/PxvweNh89+wPtwb1tBVhOhWO58WCThBf445tDH2kikEtLyc0H7px/Q+HuGOY3T6iVRIHffnHpbM19rP+rf3NLAS/141uIjkSe2r9PNhs8Yl9mlk0U8i3uD3vLwcPEPprIRCMfDGD/Vg++u6p0L8MD5PZylC/bwPXN5V/NYD5SEJLaR/e/52X3VzHIrzM+CiaCfyZ48CfFYnmy47zLT3AWmsMDTnFY/+FKuLwOfuaI/f1zD7F+eMXHmPwAkbB+2kmWJR7556FtAzrwTSHO+UXM1YmcRqzgfS+CnrQlYPX88pv5UfDlkni99ETkF5uUHU6BV3caknolIReT17gjD2481lKhmYzcOng5UXPndYsnrHhSkFMMK1aZgJdulNP/xfx4yumBq+DmscfffPwP+S/qPlJX8K8Sxq65j7Cc6ccs5gc+VSrCeecxck9FartwcNbWZ50XUpEb5mVlJID/k5v0PZaG/N/Wz7EM8A1iixBpOvJbceMCJeCWbvpfvmDeWhnu/gL8cu390NInyCefEZtbwQ/7uordzUD+ZWSGpRc8OIBs1CwTeUpIjvcoeHikwn3xp8i5lg8P/QBfsjl2miYLuY0vQWkd3Lnn1Tci5uaO7OXk9PC8k7Qrujob+Rr9c94D9Dt95pdUdA5y7kaqNDbwSIWQ8au5WF5tPMgmBE5d3hJ1Ng/5V+uRDElwp+jy0/T5yGX/2ggrgb9NUx2bxvxjd1G9DjhVblhEYwG2H6Ur9c123NFVPLEQ+YEAv7lr4IEV5MOORch9l6ljPMEPERRClIqxvvr90ukgcO1P/MJHSrD5nuk6EQ0eK1PVu4D5/ls6SY/AxSR/3n5bipyjdkUnD9w6rJ0rrQw7T7nN/ipw2WX9No9y5D9Ln/S8Bm+UD3LWqMDmJnne407wjpMXD3I/w+ph09dxCFzk3ufadcwzpzkVp8GjaLYsuiqRnz6UwLYC7ufzjiynCttHfYPbuxiIBPc0mTzf51j/dF36vh+8TdJI06AauaMssYcF/CXVoQXBGixnhma2HAX36vN5SFKLrXPK2QYJ8HXLMMnPmNu+LapXBBd3khoofoGc32LtlQ74WkO0T0gddnwRa7sZ+J/DEWym9ci7SdiHroP3nxFqFH2J5Z+CzQUv8N2zzpd3NyCvWq3dGwK+MmW8axRzNwljkVjwidWJjKpG5MTKfsM0cLIBRsXIV1jObJIMLgS31J0ds3qN9asyn+c14HPsVoHSb5ArvsuebwEPp/TjpGtCbmb+XKR35/i2M42TmO+vK3EngjcIPDJ/2YzlopMxDb/A/SZSNx62YH1+nxntBnjiK8UU+1Zsv6cz2O4+SCRc8guXVHiLPO5UzRtG8LUh197DbcjPsmrw8YCHpG64zGH+OKsj6iT4vyD+vS3vkIuwKmzKgitp/c599B67nu6cGxrgB19aKLm1Y3menuSHCTjzQ4cRtQ/Iy0S0HWzBRx4w3eLowF7XPW7RHbzL3YZhFfOVE51+geCK//SKP3Qi56kgpXsA7vD7q8rTLuTRaqJ5j8Ht9lETb33E+qSCqUoBuDhdr7duN/KsH4Gz1eAVL84eEOhBvi8hJ74FvOCDYv4W5iKR78/1gr+lmJbv60VuyTH/lwgez3fsS0EflsceM1bPgYf+2OMS2I+cYEC4tXlw5+8OIihMPmH5JMZJgYYRngvssh+JfEYu9DSDlgl89T9zUYovyC8PDI/zgVe4VrQOYe4WyNkgDs5T8NS0YgB7vzNOaQrgtGSiC/cGsfx2uTVEB5z37KUQyyHs/OLHXM3BF+k4mCSHkVuUp1o7gE8p+hfu/Yrt36McZrfALR/clhvHvGCy7FIYeGwlXXftCLYvzlywTAB/fEPBOmYUebYrjf1T8IDAvSu2ROTlg323y8G5sl3vyo4hz2mqjG0EV025cfjgN8xvF5Z0gKexUOfNYt6r9aJ7CLxy5ozU63Hk5+9/+zsDvvmKoi1pApt3gXxC6+DvLa4bO39H7uUXYkl5CHJLgM3kuUksJ3SSPDoI3vjtjwfLFPa6rx8Nc4OTKvGT/cZ8I9uIV3THLWZj2qaxud8m5kYAD1lQZk+fQe7sLdqqBS5aLVXoOYu8hfQCpxl4kvOb05o/kA9VPQqwB+fu/dbE/RN50Sj1lDc4f0aKzh/MxTvTDcLAB+MnB7t+IbfrsmhNAL9g/84mZw75GVE1QhZ47FeFBd95LA8rmDdUgLsU6Nw2WEDup52u9Bq8NPI3mdAi8qZs2q4u8DWCUBTJb2w9E0ovj4B3+q8yfsb8kEPA+k/wdCrjtOIlbG56BCdugFfHafCHLGNzk+TFGZrDRILKcG/xpRXknGZ835nALdPnT4muYu+rvzVBAHw9Ma2Oag3Lt7XpmpLgP/2ICiOY+xuXUyuDL++velu5juXqzc0PBuBl5Kxa9/9guWglONEK/AkzY8+Vv8gp41RtXcGP7n5iJLWBPIxdXSYAPCaifnD/JnLmmXCmBzv/V8/U3uI75j6EPRup4CHi+WN1W8itXDrHi8D3dnpfjdtGHtTa11MHfm3iy+S1f1hfiuNoew+ucfLdNQLJxP/7Ca6ypgFwLQf1WcZdyOlfhbVMg09oX3T4iflQfW7HGrhL/PqPN6TYeWwODFMyEQlCK/yOKWTIiyhbFxjBTwtN/HAhR/5rrnUPH3jCzxMOKhTIIx0Yj59i2vneJOpZVkrkbO8rLiiBt2y6XlvCXNTkSZA+OFW93eQ7KuTG1qPPr4D7/5i1frIbOZO06+IN8MdKG0QvauSb/MZiAeBlvsnmWjTIQ2/H3XoA/lP7zQDPHuQSgbxv08Dt3LwN/2J+995+lhJwpvQXHz/uRb74Vc/zJfhg5D2N3H3If3bO938Av7401uK3H/l03ozMMLhVRCvhAi1yg1r5gh/gytSStUJ0yJO0Vtk2wG8KnBTbdQA5y7M9yTTM8Jz4uLLgM+ZKp4OYjoA/Z2/iLqFH7iRgmi4Ivmxj+l8IA/KVj0nC0uBfj/odMD2Ir4P0KzVwefaj90QZkQeEKlwyAX+/abpNdQj50WPlf+3A9/kweYxgfqsxPOMm+G0d85nKw8gbHnzQDgO3PSlkcZ8JuczMbdIk8N19d3quMGPXw5xYnwPuvXBJReoI8llHDr/n4KVnG2r3syB/KMp0rhU8wiFP+Dvm1yoDD3wCb5FgTq9jRZ6maP79OzipLt2BODbkVoJFjSvgr12igq6xIx+vcnlCcQSeL87HLMlxIFeVyA9jBBdJYLrKyIm8YvmiJx+4OgV/3w/M1RSCr0uA1+nUKL3hQs59jf+qMriTYFdFMjdys+fnbAzBhVTtuVx4kNPcGnW0Ac8wD3+gzItcdmvttie4GZfwFgsfcvKYBw9CwTtU9O1/Y379Tm5BArhK0ManNn7kbowKH7LB18MElNIFkHNlmi9X7fieTyWeR5G7u25zt4LLvKE8oimI/OpHXpNP4CkWtSHcQth93NPzcBL8XfyvuXXM/9yg+rQKbsP01KTrGHJ/zVZ2KhYiYebxwOtsYez+/qB1Pgxe1h8j5Hsc+X//fW8SAP/j2RanL4J8PUeNUwr828mAv0dPYPfd/EywGrhDbfWVf5g/o6n/aQLu+ca5rf8k8qaNTrPr4M3bWSJFotj79fPovQW+wXkpPkgMu87hYt0I8PShqD8m4shTbHz7/gM/OEawOHEKeaPNmEUhePa4yxsKCeSPBUfm68BvJrDxD2O+uOUe9gE8IU8tvEISuc+JLL6vO+vWufDj3mnk8zQ33v8Cl33BqG0phZz06xfPbXA51upSCWnk1r9HBWhZiYRbOX10e89g+zrpLpED3JzG2fUb5i+YO9NPgkv/CequOYv8b3O1jQK4DC+D6AMZ5OyT58T0wW/KsMfYyCJ//c6Lwhp85PfTubNyWJ+p1x51B5dff6pJT0A+TNPZGAKuv8VWMI25167VnATw3IoDVI3yyHt/vo3PAa9uu2OdoICdn1k5vBq8b/5qo4Mi8h+9ziFt4BJfmo4oKiHPv6ZydwD8t+gjT6ZzyIV4O6JnwUmLZ7vmMJ/SJ0/bAJf7Uy7YooxcV+HXs71sRIJF60LQIxXkfWfDP7KBbzTlDLmqYnM8emBJBDwmo1dcTQ35h7ujbPLgN/ffvM+ujpzqxmNtPfDZ2phvy5jPJB64awVOZcAp3X4eO4+qfLM7eNs9vgcZGliddAlSh4LT0DyZuKmJ/Kt314VE8IjQB9LaWtj6xIrl5oJP5i9F8WpjucLmAkkt+H98H8b+Yn5MQfLye3DKXCaJbh1sf90YaB0Ctx3+EparizyOQDj1C3zIfe+gnx42l/9ey9sGt2Z5duyCPvKsOWMeOnY4PuCDr5AB8knbfdlc4JT6Jh0kF5CPlEYcFwcPkjFi+4x5OWN3/Tnwzl8tjsWGyO9MjOkbgWsw5NYFGyG/cq1h3g78zKU/1JeMkXv+snt4C7zWpd74pAny9sZR2fvg7SQLWZQXsX57TGD+Mbj2i4eLw5h7+xJyS8DJ1HNln11CTtwWtH0Ffv+iUHi4KfLi7aljPeB2yax9lmbYfXx7e30cfK3cj13SHJsXOePtK+A++lrX9logPzfJk0PFAX2M/375N8yv9MqEMYM3fZH8W2OJvKD2hMsxcJtDuooPLiOn+L5lLgveEPEp3OYKlgMz8gx0wO3H3n08a4Xc94yo7hXwXy2Ch+mtsX20mWzgDv50fMVsGvNcsTHzUPAP349nNlzFjhfc45IEfu9m92S8DXJmYaawfI7/fe+9kIMt8vd3qXPqwGNXLjor2CHnDSW2d4D7nZYrP3wNqyu3tPVRcLHKyKVfmL9/dE74N7joIWWJ5utYXtXosyXnhP5DZef1nz3ytx3aeYfATcV/P7/hgM1956qFo+BjipOrKo7Io7yp5c+CWxIVJdmckF+S0kzUAn9WReW5hLnSnztLluBJjqeevXNGPkb51NgNPKekbSHdBbueoto3IeAmfM3HvW5g+Vmy+VQSOOVtfntNV+y+zzcV54PPGs5nc7shr+V5cbwe/IgV+9g65qfY8yo7OXc+1/eMpcsdebLQA8UxcLbSYsNsD+SX4298XgL3Vdj3wMcT+WaOljslF8yL3O63el7Yvi4WOMQM/vXe338CN5E7L/9rPAaeFx12ehtzhtbPN+TAey57O/d5Ixd2LjuqB+6U+yGr4BZyRqn7U9bgjjQhgwG3kfO7XC/2An8smkZr7IO8zELzdjh4efORc8d9ke/Sl9B+DC7h8OcmmR+2v+L5BEvBkz5IFw5gftCVfc8bcL6Yoa+ld5CbiHMt94FTm4/Q3vXH8gn/iYkpcO1BBQWzAOQ3E9SH/u6sTwmFm1gg8pp214F93Ds/FxLM3B2E/MLB/BFO8K/rRd0jmLu9WJgVB/epe0BSFYxcnPr8tgr4K5dukfshWO7SeM50CXy+ztXsSijyPR2SZ5zAj6ncCD99F7nmlw9WAeA3Kz9U7QvD9lHNrbiH4BVFd8fGMX9ZI/cuB/xxX+reF/ewfMjDRvUCvLf7wOmYcKwOlQ9pdoD3q3+7bBuB3MnuWDIRfGNsf4TMfeQJ/eY/lsCDCEkV9JHIUwdLlKl4iIRAKp/BacydX3PkHgFfGKnd1RiF5bS+cloR8Bx7g6MJ0cj/Wdr6K4Ab6ahqOzzA8l6x3OoF8HjRBHeFGOSSu2U8roH3VMkkH45FTl5n+ceH53/fH1j/C/NyusLQB+DOEkmjTXHY3L/AwfwUnOqWOul/D7G81/Xy2XNw5nkD3hvxyOM7wwzfgzuefa6skoBc/dGd7a/ghbtu2LImIr8f8LRkEfzS94C7vzHf/W7NhoIX+lv4dHZbEnKbRl9eZvCguJzmtGTkqiXis8LglpkvvnmkINcgslXLg98y4yXR+A859ROZ+xfAi63HWbke4fs31vYa+ItLa1JrmG/+ZlX3BZeesLzQ8Ri5CsuYWAx4Viary9NUbB9tjPBkgetLHQ+/lYZ838hh1hpwb9XYTJ105AH7olg+gAu5qdXxPcHmbB+Bmwh+8ZJ+7wbmb31FTy6Df84ome3OwPadnrXybj4iQWfWbFdeJpbHHn+6wgqu3W92+M5T5O/yIkNPgsuRlwhfyMJy7Ku7ZefAbZl0FYSykXMfb/1mAj5XoWhIkoN8S1qT1Qn8s0fotU+Yk4keMQ8EJ/t32KcoF/ltM9HsBHDx338ig/Kw/UL5cDl/5/h5oTSTfOQ5t+Q1GnZeN6GgRKQAedu/M/k9O+83zLuBvBD5yfHg/VN8O3+PE98xiDmFM6vPBrjQ+62hsiLkDrMU87T8REK+aeXM3WLk/pkK9rzghdXVq2YlyC8SP/6UAh/1oyITL8Xqaq7SSwu8U+vpfuoy5GmM81RW4OOtEcyjmLNlBDzxAr967yVPVTnyiEF7+fvgXqJnj9+vwObXntKpdPAjV8gkrzxDTu+vnVgJLvacUe50JfJDd85rvgP37nJV3leFvF8/i3oEPFzjsOY45hKq5p2/wYfbKPRrn2P7ItvrPyoBIuHtdxnjB9XI9Z4vOrGC+8nXm9rUYP22uUtNFJz2ZrDl2VrkR4/QH1MBdxCIszrwArkZyYuDpuCX5qeuTmHO9rqN4gZ4uGOI7cs67Dw5hO0QcB8ZO7uH9chP/+HYTgGP33xgd/0ltn/JHChKwRnPb9sSGrD8Rsd9sBmc9U25DWMjciM7FaEB8KxdBdY/MD9lMKA6Bx6SPXn59SssX7ENO5IdJRI8ztuZJ71GbkGrm8IEThl17KLTG+TdbpIdx8ELqcUvKDVhuS42ZrcSeLGZnzZzM3K+SksNE3Apbhq1ecz38GUnOIEbrn6Rb2lBbnvcaioI/LvHjNSjVuSFh5Llk3fOL332pOtb5MpCahnF4KrEDn7VNqxuy92pm8BPkWewsr3D6mqV5dYX8Db5ygNLmNMoKC78ApcWpaJ89x75x6EpZzLBnd83pfxJa0f+nHb/ChP41xT7nx4fsH3E/zxIBPy96u2R8x3I914bO3wOfA9jWxdnJ3Z/2WMrL4LzPzZ4tYo5Q3yriQv4nZusZR+6kAfTBZOHguspcKdnfkR+6+vb6v/AGx5ejfLuRs58LtGtDPzF7vHb2j1Y3oiaP9UKzn4m1Y63F/kX0v7tIfD/XscZ/MWc75fqx0XwV1JNch/7sDmeoJ5PJUQkrEuJCOb0Ix8/NxTOBh5l2kvv+wm5+bltV3HwTOmKDb3PyKeHn11RBz/j+H5c4As2j4y3TCzBxSJZ2rcw39wcMvYEVxbLLu8dwHL1IT2L++A0a7ZJ+YPIw36aO2aAr7hd9vUfQq7TRhZUDW4kF3vZcBh59G+l9A7wi4vrSse+Ij9cydE8Dk7Fm8S/awR5pWHywh9wVWeH3Z8xF+Is5aU7BvPFznOmaBS5lJnNZX7wi3mV74KIyBP165/KgCu/PZpvMoZ8TaNqTh982bQ7TOQbcspYPYXr4IlbxTbk48iv28c98geXU2pQHMT8NeetrQTw3qZdHGUTyLM3Ke2KwLkOef8N/Y68QEX2yxvwdx85+00nkZuqsukNgGtFbJSITiEnqOZ1z4NTD1Ddo5pG/jl69CKlMDwXGChf/or5I9vmGVbw79HPTj+bwXLjIZNAcfA93Pr7w2eR35h+xHke3C2Tc8LiB5bneWLfXgZvzmavPfUT+X46aa+bwjvf66sRRfML+fJqvHC08M7/m8u9TMTcjDNnNgv8eZKo+PM55LF9TmV14Ld9Z8gj55EPm/7y6wE36ezsv7KA7YttPoMZcC7usezTi8jzyJlPkhyH55G9nJ77fiNPfv724GHwf1z3lcYx9zAT3yUCvmuN60DtEtYn5cxXzoG3ckx8jV7GcmmWyqIpuP3J7vyrK1jO+bSw7AY+Xj/tcWYV629s5iQR4FQXhQh0a1jeex3JkAEenJywexLz+t2BIjXg3/YLddetIx+SOavXBR6uM5Uc+we5VXa9zyR4/a8PlnZ/sXwYQVmyBZ7kO8gnu4HcXvzI9EERmHcPaH/QbyKvnV4XFAbfXeNQOo053e+n7krgvBFzbg1b2FxIYm25BL6YlCQRv41ckPMquxv4gLvt2vV/yO/2+fiHg7OXXaohkHz/f2ffvDr9BHxkxN2bcRfy0hHOizXgDHHlp39g/quprLsLPN6UYfUVKfKwJUb9KXDajuRniWTIBar0BrfBD3gr3HAkR+6ka2N/6ASRQDq3V1iRAvnSXn1SEXCeV38nD1Mi1xZjzlQGT/CnyfiF+Z7d9erm4Novz15qokJe1n/2jwc4H000fcpu5HXfUsoiwd+tkrx3pkae6/XZJQu8mSE+4BwN8okvK5L14P6LKpJH9iD/qrtK0Qcuxcn8Yx7zVb7B4R/gdCdp0lv2Io9Kz6wjO0kk/C1j1n+0D/kauV4mC/gHMVVy1/3IQ1MnY8TBxZXjqlRokfuWXQ3TAK+++deGlQ45Z+iHUGvwhov+jL8xL7TiiPQBv3ubs/ntAeQ6MRb/PQQXvP7VNZUe+RnD+2WF4I8rq9jdGZDHrOd0NoGX/ch7r3YQudvriuUhcNrU557sjMiXV0u5l8EJxiMcy5gfJaab7BUlEp7kcbx7dwj54ebgRF7wGxy3XdMPI2+eMRuWAW9W/8XkyYSdJ1lYyBD8fpV343lm7PoPLfs7gScssNhwHsHuY0Hl11Dwu/c+Ua9ivj/VRSkNfIwmr7idBXmCOH/5c3BSihjdDFbkelUD/F3gHOTRv73YkDNcv581Ba6VkPFQkx350wQZIRIxyJ/K78W5OZA3Bc5VM4GbZ1D1rmF+0iNTSxS8UOKiawcn8v+eXfyhDj4Q3bD/KRdW53cZY63AZaRPF3pzI2c89VnOB3z36zcq2jzIr5E+WX4IrlZxeYyHF7m8lGtFEfh4Mp3PH8yFWDW9W8CTSXoYuviw110WVRkBp/DMKsziR66/m5d1DTw1MEzxtgDyiFSev7TiREJF+e0vOkeRt/0VJR4V3/meBz8nPkHk3ra6nQrg/XkPdm1gvskf0HwJvC20LP6jEPKKoDdv3MFJKkb5c44h/9HI9C4S/EANa42PMLbveEM+Z4Nf57ZT0zuO/Mg6xVwDuK5Pw2d+EeRx/ul7v4DPaHLbbmKeuEtffBFcjCtuqfsEcqNmdiuaU3A9QfsCck8i/7OPKoUHnPLPwz1+osjTePd+kQHvouVL1BdDfln7BIcR+CudVxxHxbF+2O3q7ALOrGiTt4W521Jfyz3wZReGk72nkHf9vciXCa5i9f55ngRyy+OkUXXgAxnhMnckkR/s7tzsA79Yrfva4DTyoWOvPebAlY9xKAtKYesQPLhMJQH9LXT57Tbm3OysflzgJTof1fukkRsohO07C+5CV/E+/wzWP8XYci6AC+mmnPc/i/yj1KiKM3h6Yui7CzLYuiV3zoeBOzl4qQrJIj+U/PNJBjiNkUPzP8y/+565VAfe9tVavl8O+bPIWpZ+8J5wy7oCAnK2fQ7f58CPjZlLBMhjc0RJt3q3JJHwzN6ixFABOYuXfSw3OFcxxF9F5C0zL9xlwClPXE0lUUIuNaFoYQTe5XWN4RPmPwrI9G6AN9I43Ss8h9334G2NCPC1G66bAcrYPqo4pZMF7nzC08VIBbvOO7mXGsBX2m+OHVNF7i9s4vwF/MwHb/1dasitd6lF/N553aqbbz5hXqboXbL3NOTYfR6iRerIcyRmB/nBv110Sg88j/wORzqtAngbu/VeYw3kdsrJmqbgwWMXvIU1sfn481OsJ/gnfsXxXVpYf75kNvoA/LK7kNZnzEl7BSUKwJM09j0v0sbm42P5h83gH8Rn2YJ0kAdvZPwZARcqexVirIvtdwmda3/An52LmRXWQy4ZrT7KIEUkKHqa6JDqI3+nEWchAh7TwvTsM+Z1FUKTauBCtR8Ziw2Qz1Ed9LIGv9XrfzPoAnbfY3T23wFvSOL7YmyI3D5mpCQZnDH89enjRsi1tN4YPwN3ETJIJDVGnr5nc3cn+OPtgaXPmDPTRb2ZBle4Z6hbbIL8erpXCJk0kTCs3lIYdBG7nu1abXbwdy1HKU0uIedxNeGSBpe442953BT5axmDTQPpnc+VtVWTmmHzLrtw1Bn8YRE57RfMNRes2sPBefnFbIrNkctcud2YBe41rvsiyAL5jMxSXSP4ms3l/SaWyBvfdr4aBP8lcvnK8cvIeVX2d66A+zTqPCO9gtxjs2Kc7gzMr2QR8i+YU55o2CUMznh206DYCutX3KJHVcHTBGoyg6yxOjyyz9gKvHrkyoLxVeQUpgbRfuD1xHWZ4zbIpQUpOpPBvxX73iO1Rf65jedQJbhk68+ez5hv+ZXZdoE/yVdjLbbD6i2yqHEWfPTzg6tB15CrSzNzUZ4lEiI+vi40vo787tu1CC7wgwwji8L2yAN81LdkwJvYJyRJHbC8kULrbQJe59Z7+zPmIVc1NtzB16IKXxY5Irfi2r77AFx13uFfoBPyfAZBlkJwU8aD8sbOyEX8O6pbwSvvPPUXdkH+Mven2Tfw8nzmhl03sP7ZHUazDR5y0GvjE+ZkhCevmGXgeV+25nSRK3JBidP+EuBNGaNugW7IJda0VPTAuxt/FBm5I29v+87oBE7KOPz9mAfyoF//ft0Df81exrbLE+vDeamdWTI7P+e3u/AJ82i5V9WvwKfP7Yoo9EI+vXgtfxjcztSvIeAm8huUKU/XwXOODC0aemM5s1Ev56AskaDzj5n32C3kNZfjy0+Cj4dKG5LcxvrScasWTfAXQtKh/ZhbXasfuwZOac9UWeCDPMwwizJUdmcdPo35+2J5+DTLqQzwrVz3/YZ+2BzU57Z/Ca6UNictdAfrAzMv8gbAJdlVr/7D3FRucn4FXP6pb1SfP/KbCdkEejkiITMvuio/AOvzon+TRMBv5fsO3wlEnmf4ff08eBWnCumFIOx+nbtmZQfOFT7LLxiMfEEhpC8Y3NL8+vltzHfHnNF5Aj5z+I1jbwjyv66RPfXg9OLLUXmh2PwS8rEYAKcQ/Ffsdxf52CbV0gr4G/dvH/TDsPd17FQMPQGeT6NSZwXuYXX+h0TyBPjw3AmqLcwb8lwmNMA96FO4e8KxHOUb+OgauLbrF5ncCOTCNadNQ8EzQ34Z+t5HrpP6kCcTPLjls5NeJPJh58TlBvDPRYkh/FFYrnNR6BwCt3wm+N8G5mZjCWXr4JV6MSUfo7FcQZXwiFEe8iHJ+9fZD7D14ZF/IAZuevpT7+0Y5B+8k+/rgDO6VE7oxCLnUE+PcQS347i6zBuHfOWTYVo4ONerCdK/mKdcfVmZAz7dJkHX9RB7v6c+9zaBy5QbsWbFI9e/l7VBBHdZUBG4lYDlw0x+4W3wki0KUe1E5L9bLGxYFIiEbZ2H0jxJyPvEtXOlwM9YzMmvYx4lsrpoCH4w/ZBqRzJyvnVjZXfwQ+F7NDNTkD/p8ciIAc+K+6Bz8z/kS/+0KEvAl0Qv6ms+Qn7gzYR7OzjT1zIDrsdYPVw6MzsNvk7da7CK+cm9utcpFYkEfZFG/fZUrD4PCyzygNc3eug+SUNe3fgqUAE8S3xJ0zMd6z/K7CyW4Lr/pNXOP0HePCv/0hd8MElNkSMDufmi4LX/wCXd2M8uYz763yBLDfgJsjqxd5nIx49e+NIPbtvIJpj2FPn6cFLqEvgFFhV29ywsJ6znOBxQIhLU74vTq2VjfexlkOIJcPvg7+RsOVgdOgpzaynt/NzDdHUR8y+q2TQO4BTD8ZOtuciNY+Y27int/H+Q2P5HechvhVGv5oAfbdJpupGP/L7z2noz+LDwx1LlAqzO79aSj4Of7zvw6Egh1gcO6DHvOgd9TPhg6DzmtTqNkhzgGnmfnJqLsPsSRGEuC+7xwsQwpRh5xA/eSFPwgP6Us84lyNXa2Ztvgfc6pHAqlWJ1ZbVMngyeP29EzlSGnWcpR/s5+IHe7smfmJM2nM7oA18Oo257XY78HFne5u9zO98LtJWbWIH1MfI/lw8oEwkbwsV3HZ4hT94l3HkCnIuE6ap8JZbrZBTPaYO32svKM1Yh37ci0+QITjrCyjKLeZwjm8Z98Jb3VcsNz7HrH58Yygf/kkHV8bAa6w//xXu2gX/qPZB1rQa7vz3HmabAJbp7b8nWIjdsL2+iUCESCDRa2vQvsJzfyuXNC84478s1hTknmb+EEnjpvNVSXR3ygTfvN66AD/tsN8XUIy9WpmwP2Dk/mc5Dm5dYnbeLPU0HN1wxuHKmATltol5IA7jL670itI3Iz05YO38Ff/7J+8845rWr9lc2wfmzkppqXmG5d981cxZVeN5JvhYZ9Rqrw+tmVmfAK7h/GFi9we77efUbF8E3ytiPnG5C7jV/IswbvK2cdHRPM/KRlAO5SeBqDxMziZifDZ/veg7u3zRwtaoFeejW+12fwNXL2vkiWpEXSGbLrIAbvnX4bvEWebiHf8BBNXiO9qp9Kt6GfHv1Uof4jgtVXt79Dnn/lhSPAXiorinrV8w/th0JcgNXMSr5VP4ee92kXbOx4Ofzih7cbUdOXzB3qRxc/ZmhqukH7HjCeN9H8O7xvK0THVjdJhONF8AVc7IryDuRv/89NU6rTiT02WrYDmBu++Cv9wnwpNgUppIu5JeKmQ/rgDvEPXgX9BH5oUiVBmfwA/3Ct4y7ke9yCHKOBmdouSEg3IPcPbxToAR8qONSH0kvlp/5hWc7wJ9emvXvx5w36HHVL3C/T+xCBX1Yfx7kjNh3HuZI0VrPnX4sb9x4YXccfETF47bBJ+RcgfbaWuA1dPGcRz9jdaIpJucEruRh1LKJuSc9w+ko8JahF9e6v2B5mG6/dDG4dvkrmpwBLJ+H8Z7rOL/z94N2hbcHkZ+vNDb5Bb6hVXJeZwj5/s95nvs0oH9Ox0/zDCM3EWF+fBz8adKR0HXMN9bz27XA3zXLcXZ8Rf7C04zcGXzrC8mLjBEsb4yLqkSDC8te1vcaRW4fcCy2BPzQJbOZ80TkJffPf+8EN0xevsMxhvy5UoziPLjR5aMMy5jvn9rKo9UkEsyOrGW3fUMuUxnPdBLcX+Ty6dRxLP/PGMbqgheTW791nUA+36LI4ApeQP7PUOU7cqUws7RYcNpE8fEjk1g9O2aJVYCrcZK4zGP+XwXLxx7wxzRX/zRNIRdKafJaAueptwhKnsbym3kq/0EtWM9H89ROM8j5CQWjp8CN6A7FKMwi/3r7R4YhuGVA98FDP5Cf0LFy8to5Xp8reRbzo39pFZPAfX6SH2n8ibyldoWjBvxnpc9/D39h97f9INUA+MMDoczX5pA/c3Ze+wN+6hpnksw8tn9HyRaPaBMJ19m1GA4sYP3B/NPSWfAnKTTR3zE34J36ZwZ+hGBC9WIRuar7acY74L/dJfyjfyPPDGsTTwenT81YsVpCTpn+yPQVOIHjsf3pZawe1sojx8DpLHlH9qwgV+/Y+5ZUh0hYeCWtS8T8jGUxDS84d/7Qq8pV5Bdn442VwV/4UJ8MX0POUNRcbAue9/hNqvk68ndjsvvugRe4UNKI/UHe3bbLKx/8gkmfB+VfbF+nHZh+D07/4tjIIOZL6c7WP8F51/eolG4gD6A5Mr1PF+rK06MoeBO5Iguj1wlwm4SrB0y2sP1Le2WfHrjMiyEP4W2sz/P8K3YDf6Yy8InkH/KKhAXjeHDxVLPT/ZivZkjueQ6+zmGTmE8yiXJdaM/bz+D0or+X/HYhN/BrifoDbidGpqtPipyvlc6cRQ/maWhSAT8Z8s7HVRKy4CGRJWQbmO+RqzpsCS6bp2raRY48bpKOLBCc6YxV+VMK5DS979YywbmfblF4UyKnkx9baQaXOcd8UZMKuaS9ydYkONudygLO3cj/RZ3cT61PJOiVd/5dxnxyyv7oMXAJOTv1d9TIjSt3a2qB/wvxS0ylQf78xJ5bLuDV3+m+ue5BbpToXhoLfuYVp7DKXuTBvErzz8DPehR5HNmH3OeQj9QncLkrz+rmMHfJY72/Dp42eWpX037kYYcEp44YEAnh1ieVk2iRf32coSkLTn46O8yBDrn/zbA6S/DJxrg2wgHkN74NiQeBD5itUx2kR57N/KQqC/yKY7/yNOZ7LvbLvwX/qCkYVM+APGDYt38GXMdsqT7mIPL+0ST3vRdg/q6LrV5lRN6TJsByAlwlYOq49CHkJw2Pf9ADl9Slu7rvMPI0uYK7HuC8rUXJY5g3JqafTwI3J9S3VzEhP5qyn+kFOBWz3FY4M3KrwPW5YfCDZaLHLY4g/xlh0fUPXPdKoqkYC/LTiwq13IZEwsVwh3uUrMjz5p8WKYM/DSl7Noh5yuvQ/GvgHqVXv5awYfWQOV16H3zSJowimB05Z0dHYwn4FBmTsDEHciE/yYFucJnvjHrHOJGn/+LZXAb3sQnw+Id54sWko0xGRMJ+olFiLxdyrs1Yi7PgYmXJz3O5kSvRMaZZgG+dVO734UG++JFrKhBc/6Xpbx1e5Ey3aqWzwedKh/bx8iGPVfqa0AZubt0ssI65qEP0xg9wMjFG+Q/8yOuFOu1pjWH9vTqMngggn6lPHRcD/y/8p4PHUeRXzbZtjMDdW1391QSRf1BaXLwFrnPXLJZVCHlV8c2wVPBK7qKMBcyz++L4X4OvL1uWNR9DzrCk1DUBrmF082WyMLbvlCIDd5sQCYXpi22Ox7F1IHGSFQb/IdjZIy+C/Ir1FKku+DOtvUMHTyCPyd3sdgf3sy4cm8b8G2VJQRJ4YlPBZP1J5EF1m5F14Hyt1LMxosjj/814j4IfaXr746oYcsF9N53JLkLepp/4ISWOXJ0920kAXHKPxezeU8jnHD29NMCvUUhMETGnFp+55wLOanLtW6UE8psFu7IfgttdWhu6J4l8375X76t3zm891mt2GvnDeL6/Q+Dn3vG9PymFvOm2uDjJJdi/400N5NLINf7MevKCS1PVlX/BvF1d640aeP19mqdFZ7B+km3K5ARe01oeF3AW+W+Vw96x4Hv2lwVckMH2o23gWBW4XTW501FZ5NJyjy4MguszlRpvYn6SyrZ7G5z7bon8RzmsX/39ZsxjSiRQGJEezSJg/USfYVoVfH04f5+3PPIjquuBjuAdLlmLGgrIeekf8sWCH7Ne7OVQRP7k50RPFXjYnpjKJczTaOfDB8FPvPR/+FYJ29eVFef/gct/aLzx6BzmDKKMvGZEQlGkjqaLMvK7Ng4zauBS+iL8SirIhSes3jqB+9ww3T6kinz8LVNpHPjomU99s5g7qUc/qQbPJE/Lb1BD7pvR/GgY/BNnhW+cOvLa3S+f7DKH3P7tgLbteeQN1d6l/OBzj+rZzmggZ5xaf6sBzvCk/Mc+TeSELrnZG+ACCgvVY5gX52kcSgS/1H0zqEoL+ZtCTs068NJMVY1wbeSf6RrvE8HXKS3pzXWQi9Md7aewIBLGdF5+PqmL9YdvZkePgX/rvPKIXA/rJw0Wobrgav0a5l8wpx4R+ekJLlF5m61IH8tL3p1mj8D/q/815G+APLxF7vMrcBlCVrLBBeSZWwGmk+DPI1MNBAyx400SZ/ZYEgluK1/2bmDOsj8gUBS86J1hc6cRcgEjAo8xuOdFhtuZxth9vNbf6Qtetkwn4mWCPMtXKSQTnOGHFlH9ItYP30cotYHzRb6LYbuE3D68aO8cuJJAMGERc9bF/FGGy/Bcv+f2z2ZT5GTSIfXS4Dz3ipOSzZBHJ8s8tQSv/sGq4GiOnEO172Eo+J+Qt9MECywH+mpGF4JbZRZFM1hi/cc5J64bXCquXWwK80XD8Sdr4P9l8vS/uIxc7zp5LdsVmNdclZ7RV5B3jNIMKYHfM/M9aGWF3G1hjdIe/HqGT7mENXKFng8yMeB+suWa1Fex/VUf4fscfMOPdXIY88PfxVqHwX+V1vuV2SAfCG5lJrMiEkQ5YxlCbJFLdancFAR3Y0nJNbZDvrBVOaIDLjnXK33sGvICFXpdL/APE/LvtzGnJFq2PwY31xg16bmO5W2SdN0m8GGnku/Z9si7Rz6OzoAfTi6+ccsBucT/MXXf8Vh3bxzAZZQdWYWshlFmIaO+tmwhSqIiM0pECJEVmSEjSUWyRyQjFJWRSvbqvm2VTVTS73r++Z3z7/vl9XXu7znXdX1O9dxP6c/rLLYkIodj6Jf+JSz/F7HyyoP/kVYIEnBFvsqwp+UsuOmRpq0rmM9THLwZYvvf3xPdiHznhtzgjbhqPvgByfOM6ZeRK90WZewE16hwv+N2BXlfhAB5HfyecSG9mjuWQ9bZGvjtYF/02MI5riLXZaJ5pgUutPBoywzmbJsr6a7goRFnfGs9kLtTTKQkgntbKy/GemLr0e3JrAFPrdGwt72G7Rdra8ko+LkZj345L6w/RzW20V0kEdulW3TpvZFnzdYtSIG/GVSvHsbc1K2B/xT4eZkx4dLryJvUWk8Fguf459wN8UF+7eFQeg644Nbovxa+yHtq16c/gEuyJ1884If8+Ad+lVVwyoWGtk3M+baZZvHak4h0MqNU5w3kGZl3GTXAP0v5JGT7I99oGw1yAT++j2b5egCWixpVt9wF99lackI/EPnE89LIavBCHp8i/ptY/Q4e4hsF38y3oVvG3M65pYbOgUSc2bxw4W0Qcq1kD1tp8KDTwS9Tg5FzJh7iOA1OQV3H7HoL+eMU+s83wZU0dlxQCcHmSN+v5Fzw8+eCytlCsXVGUDp8Ar/xgI5qCvO54X2q6+DWGnnG1WHIzzBe3CfgSCJK7124Hx2OvOR4I9tx8Llh6clzEcht3ykxXgG3tuKSOHwb+UBtN3MKON+pHZ7bIrG+fTaOpwGcl1OoagBz++FLMtPgOwc1fxdGYfty5ZIpixPcH7/fUAy6g9xKPy7gCDj7nbfXzaKxHPK4v/wceD6FUIVwDPKuPJ3lCHDH6Jj535ivJZGVS8H5vBhEOmKxek95FNcP7rN5zzorDnnxVPTcFmcS8cPp0F3PeOQrFU/MxcCb/gw1aycgD5Wffm8Czr129yf3XeQ7Hp7W9APvf2Cxbw7zY3t+tz0Gb5QVNmlMxM7tSqtVO/jZzS3+iUnIS7U/rK2AMytNZTskY33JiDJjtwvcoyV62hXvIa9TcdHXAlff1bHIlILczYBu62XwlGMd7GTMdZ4Nt9wDL/zaLfs8FXl4+My9BvCVo+Nm4WnI9XkkrsyAl6Wtu1umIy+/V2Cy4xKcZ/kd0eL3sZwjaU8ogb8xlcqhyEDuyWklZwf+Utqk7gvmpQGx8tHg9qzenTkPkJulb1GvBBc+9GDCJxP5/szyU1/BxXrf/tR/iOXD2pzrtK5wHo4u0AhkYXNBeOiRNHhp9i62ZcyrWE72Wrr+9/95UeN7+wj5r/wdnCHg+b5OwqmPkXsc4LQpBGe0j5G49ASbU43nynrAu41LDhHZyJ8/XN5O4UYipn065HbkYOv/89Fb1O2/P9ealp/AfC/V2owJeETQhlzVU+RD35zsb4D/GKI/HJWL/NK46Gw2uNaVHZLWz5CTBY8EfASP89khIp2HzYXupF2/wKPk6Pmp87E6ldKoF7pMIjrH19l6MVe9qHFZH7ytcXhrXgHytOx7ol7g+fRVazcKkUvuIeYywQM2wiaNirA+s125rgWcp0vni1Ax8ur7scnL4OId/+pWMR/8o+i7+wqJOCicm/O+BHm8NeGoDW7PoxadXopc72fGOXfw5cl2d7cy5A4rFrbp4A3N2maq5ViujnS70gweuVx6mP058tnp0fB58KF8erYpzF+rVj7b5Q75U+zE/MsKLIc0z3Srg9s8C2m5U4ntb04Aoxt4jd2TLJsXyF+xeRmkgP9MLvaWqUIeRnxOeQ1e4putR/MS69uW8XM/wE/qhu7uw5wu6YUh11USsV/FcDavGqtTAc2XquCHk/9V+9cg/3RQSeIS+JmwlDDjWuRS39MKk8ENdXca76nD+mTURflG8Ds8AVw/Mb9P3G/7Dm5/qGXo/Svk0XIqzpwekK9a1zPT67HznGXCpgquwsN43q0B+dPirrcu4EtWlAKqjciNE96FJIM/fj8wxPYaywM+Bw0awSuTE+9NYp6dSC3wA/zMPwnjl2+wecR+4i+nJ4lIUny29U4T8hQRtglV8EM3KWusm5EzbNHvvQQ+sE3RVfot8vQPG1/uga/RGu2mfoec8dX+wdfgndUqbT2Y76Bs+zEL7m3G7P3sPXKjlm+0u65B7mV8IXCjBbm5erikBnggt+J7w1bkuZlZ5y6Dsz9PdhVsQ17JpHQ/DXxwezvLCuYjtWajzeA/bftL37YjvzI0L7MIfnqyzjj1A/L8dKYYXi+YR+3XZ106kNeIFi9rgzfo00Uc+4i8tqLb1gO8Kt1NgPUTVr9uwSMPwAfmnlaOYV50q9K2FXyf33Pdys/Ib+3xWF4Fd752dyiiEzmL/8toQW8SobND49KZL8h56yNlDMBlwpp/iXcht9k5Tb4ObkfDFUrRjfzGi870J+Czb+SZv2BO16Z37hN4yer+pOwe5BFBZpIb4BYdY7uu9yJ3opujFbkO97gg1/u6fdg643fNmoILqL3h3d2PvFWrbzAQPF99PG0e8+5TB7rzwZeqPnK+HkBuvcrW3wte3hUSlziIPFj37hSVD4m43kJJ6zCEXDcsj0IK/EHLcX+FYSy39FjutQI32ma+wDCCPNUp2yQCPOy56PkRzEcuRUU99/nve3HffCz5ilydmfkjCfzmXkHlWyTkfn4Su5l8Yb7oquecJCMXGZ29pgCenC3CLDKK9e3LBv0Xwf0cPnn8xpzNxFA7Aby1QaG3fQz50crF+lfgB0Ztj2SOI69oOaL+HZxtw+Ce+wTy5pd7P3P5kYj3x9aW1SexflJe6aQBfm7A2pBzCnnQ+DyjO3jt5q2cacwdfT5XZ4DHDV7cqJ5GfiHTyqMV/PxDKuPoGey83UqQWwP3v2GVZfMNm48mntR7b5AIhszLC9LfsX0/QjVsDL4ip3yU+gfyfluVBn/wjauN4T2Y//p3sCgPvDRo82PuLPJ2hdacXnC3+CUOvznsPR/dlUftD+f/0/3TBvNYvzrCUyUNfufSRhr/AtYHzD9/sgYvu8sysIh5wRvllSjwKx59nE2LyGMLrIVegksqmJ5IXkKudfTImUlwkR03bzsuI5/Lan3AFkAibA9Y1yuuII/byjWrAv689McS4yryPff4tNzAX38W2/sV87jA0Wfp4JRVXKalP7H9/W67s+W/58SVBd5aQ35g25P4n+Cz4b+fnVzH3tvfxxx7A0lETMvcZ+FfyIX/2D05Aa4dFLP2C/N3YtNHA8GTBvq4238j31clMVoA/o7ig9KDP9h6OhTiB8D/8DlbXtlAnpVKr0d7E3LOuWIvtb/IT2k82i4HTppLj2PfRL72a8tXW/CeVYncScwzJ8RexoObZDrUVf3D8oAM34N6cH8OzU+RFFP/d0GG4ehZcN3gtySrLcj70xwjeIIgj23/PidBifwU4+toHfDCydLfFFTIz0Z+y/AGPyLNTf0F8xRirCobXH/nHoZsauTZ5oUjX8Bnm9q2e9MgZ/qts50ymESM27Dt0NmKXNesWlcK/CPrL1aebcjrYv/FWYPvorqxfRbz6h7u0Tvgv8+k09fTIr9pynSsBtxPw5wqng65slTfkxnwK+P5vy7QI6e9d4Nz5y0SEWybPnuYAfm30j8JWuACM3u+bmVE3pdnzn0NPOa+Rkcf5uX5MQWPwYeebFTnMWGfa+SJTif4jIhe9g1m5KcvpS1ShEBdGElGG25HHhl45YkkeNOx3KsCLMjdVUUuWIOf3F1xcgnzpMHXYtHgh1hPyjWxIrfzVt2sAVdVCWdP3oH86LHsoW/gsp90FxzYkDudnm/eFUoiEiYftCiwIxdaEqg+Dl6QG/yQgQNbp7TSS2/wLKVVz2HMn6sQb3LAzzWtahVzIs88LtHXDZ7jcIsziAu57FW6deowErGpkzFmshO54eRnocPgjbFqRXt3IS/9EHHKFpzj7FWvn5gzn5BMTQBf6j6g/J4bOU3q2/FG8F18bv9SeZALdBgpLYLznz7S4MKL7e/O9vsC4TDf824HHN2NPD5Lmc4YnEX2vOJ2PuQP4h7dDATfz/tqmYT5UeZ/lMXgl4Mz88r4kd9TM40bAb8VSW0TIoC8+eRDEeYI6CfmP1jMBZG3X55qOwruTmfeICyEPL1K1NcVPKRJxfUX5ttPOR7KAP/4LJ+rbQ/yxWtP1trBlweS6u/vRf5L4evbDfAzPpt2bvuQt7Ttyjp4G/J5zvg2lf3IF0xOhlmBFwRr57IKI5/+meB1B9xbcr/WGObcX7+414KrfggkPxfB+o/Mrus/wINumPqGiSJ32GV3mzeSRHiefchySgw5XK6y9cGF4y4+ET2A/I7S9g83wH0OP5L9g7lqs/u/AvAdzieb2g8ipwgYUR4GdzAOMH4gjvzpHfNQpigSUb+Vd+CyBPbzOwf7joJLFIifV5VE3qDlKu8GftembGKHFFYXBHPWA/B04pnDOObfReo5PoK/c2adqpDG+qpoUNK/qP/uKTO24TLItR1OCkjdgX3nkRk5dQj5H9qjlefA54amT4odRv7isIJFPHjoeaa2P5hns+hRvQavfPvg6AdZ5AOvPaqXwD+J3i98IIf1JffnN/ZEk4jvT6l5rsgjZ1Fj1jUDXz7bG6p6BKsXy2ChUPBMR7a5HQrIvcisWyvBr46/MB3H/P6fupVJ8PrZN5UVisgnO8LnuGLgfvdQjitcCfnwzSvLx8GZdm2/dkoZ+U85Hypf8Iqr+p9EjyKP43zMlw++r2VW5A/m6xrzGkPgpfJLAe3HkNtOWXsxxcLc7D/VmUFgzxdaLjsGfq1FYM9lFWzfeQt/Xwa3FNJxV1FFXvUr2iALvHLzUy2rGvJ3I8n5neBfr7+gGcO8duE9O3Uc9L28P3rP1ZGbmu27LQtOWXw/NlQDuZxEIa0DePGD1E/mmtg6H52/mwIee3eRWUQLOVuvumjrf8/Peaz7C/P1ObPWP+B7loputWpjfYA52Us8nkSsRu+oTj+O3OIMrYQN+KG7H2Yv6WD9bb1gIQ78CvdXvmO6yJvoQl+9Bt+mrGWwXQ/5bHn8vRVwIRZKHxLmOdxdfvsTSMTLItZHpfpY/zlv4HIKPEbS832wAfKdhZsXI8Fl80R+mBoiVxOYcakFp5eTYNpnhHxshMl/Dlzx260DPzG/yeiWKnCXRLwaFtF+Z4w8vJ2+0QT8jDDvuZQTyE+qTSyHgGcNW3k5mSCXjN+UfgG+yvnttqIpVr9DFn4z4DdnXqcxmCF/qbX0kSeRRCi7TOYOYR613CFpCL5Qavq88CTyEpr5tJvg0l/o6gLMkVM9NGUtB7ce3/bGyAK5/sTfhAnwJ7/13wqcQk6sz/HvTCIRFAf63i5i7vVHuEoXXD4yt+n1aeS+rHln/MFHDtbV37VEXm/lRV8CflKYo8ruDDbf/0U3jYK3RRcXylph9cW7dJsj+b9/Pxb1cOtZ7Px0P7Y8Dn5p7mlcL+Z6+k/k/MAXt1MH5FojT3i8srsIXPzHA0cfG+Tb/iaxkMENkr2Ndc8hv+V7m5n9HrhgtCzPeeSfjn7i0gZfyhzh+oH5A0eXg77gn/e6rNVeQB7Ba6VfCK73Wror2hY5h99jbxJ4dKR0kbUd8spstSK2FMhRsU6hkhex+V6nuKAFzj/Wd5rCHjtv43eO+oK3JAcc+Iz5QSXF5ELwuZrTv7MckH8YVf9NAn9l6/T2qiPyyxt5Tuyp8H4yC2LVnZBv5l4Z1wbfGihkzu6MnWe6ZGc/8D621l0TmMse490oAqdyezRQ4YLlWEfq1FHw0oy8lLBLyA/kGqlyppGI4TKyqYUr8lN8/1Z0wI/XaTGKuGH7/p3tuT94cHtf4zrm4pKxAaXgP+aTPVsuI3ekv2o2AV4od3Nv2hXkXBl1srvS4f5efPezszu2zm0eQgbgg06f/JSuIv/neJc7CDzdQ3YPowdy3lF+vgpw08HGd0OYuyfsEp8Blyj2dCr0xOZsapD27vuwj3/1aQOuIU/kOu16AnyqU+eJoRd2bg9kPQgFZz3mfJTfG7nYquXgS/CfeoVf5jGvvRu+Zw68jm6HQ8N15Hf3i3gLZZAI85B7a3E+yEfbj/aYgwe+Vw4974v8fXaLShR44ygFi4wfVl+f2ivrwa9+Hb1HeQO5lcvxIyvgVa1k3i+YdycdbRZ5QCJulGw8eOyP3Met8OxZ8ID7MnyeAcjX2FK3JICrpAWnaQQiH3+ypfQtOFfFdzaOm1g/IaZd/oDvWb8UOYH5KqWhjFQmiTB0o9msCMLWw3iY+iL4CaHnbmHBWK7wSyenghfyXR8yv4X8imtoawd4qauxtnAIchuK5VdUD+GeuEu5eA3zcyYTr46Azx9QZH8fitw86GyrK/jbIh2vlDDkdPlW5Ef/PSffqdsxHKvf2TGqPvBTB1KlFSKwvHdxRZopC/KqfG8k3W3kAtKxLmrg9X1C5H7Mx10rSrzBB7j8DudFIt+i4LilEFzj70iIbxTWf4pzz46Ca8YbdOrewepr3ruZ6xHMl8FmXp5obB/Ze48YgO+d0LL7jnmi8rsXweCRzz/m1sQgtwvRUasCTz9h8y0qFvlzWpu+WfCUNysiVnHIlSZpffc8JhFxrLF2B+OR31M4Lnwa/IyaeMYG5sb8fKQY8Cyrjs72BGzfy6OeNIF/sXenybiLPJAtwfM3uLgDh6xrIpYDLWWMpZ5ArrB9ef5oEnLpbFd5e3CDC1ZRTMnYHNyuKXYfPNTxb+kw5pYVL0U6wTv90rsL72E5sKxdhjabRLhkyf70T0F+bU/g8WPgxiOtbIap2Pvf0+nkCW4qbynBl4Y89MPb5Dxw5tJRzTnMqY9ZfySBTxnZWr5Kx/JPXCobVw7ca3YOusTcR8751cfWAPw2k46vdQY297Uo6m+Bcx0uCJV4gOUQkvj+anDjWKqYTczvtlClLoDfFTK825GJzS+eW1zCT0nE9sXIpAcPsfyzVJB1FvzF36pEtyzkKQ7B8ongJnq9ccceIS9Ppu5vBXcaGr/N/Bhbf9rhsC25JOJ0OSlwBHO1O2zEEXDtzparRU+QZ4U/oroMLqSUeSEgG3lQzuiXbPCn8zZGhjnI+ai6i4fArRbpFfieIk964XuP7RmJSFTN5J/DfHG4K1IX3JXMQ/UqF/meuPHbQeCdnwPHop9h9Tidl1gF7sHW2nA2D7nBP5H8efCenF9p4vnIi+dtPuzPIxFqd5iu/sX8Rafxn7PgH99Qa30oQD7UuHE4CdzGYIQzoxB5QI+dbzt4pkjq+KUi5BOikW1U+ZDDTx4uVi7Gc5eriBL4wOciL8YS5A8XWeKvgos+2KY0hDlDiidNHnhb1dGN/FIs15FTQ8ngTgLG1X5lWB1NBrHuKiARl78cvaZXjvxXvfgzY3DeTzTiPM+Rh4U90I8Av8b+lPwN82yT7j/14AYPBO5WV2DzQvlL5Rr4MRd31chK5PvPpvpLFpKI8uspP06/wM5Vu4ixA/jXN4mJolVYrs4KlsgEr9e5qPAL8z+rT3f2gvNuoxt8/xL5NCmVeXsRiYhaD/BJqcb6le9pFm1wZ+637I41yOf7p3YHgk85DhfI1yJ35dKSfwG+/PWN6rY6bL7oXrOaL/rve6iuf+nBnC/SK1q4GOpa7vf5nFfI+ed0W23AfzIen71Wj+XY6OUdKeAVv85d02xA/ibQ3eET+PM19d/sjdjPDza/oy0hEc+2LPiNY76/avGQKjjXDrvf5a+RKx/8me8Drrcn89qtN1g9GnZJloGfkXw4a9KE9TG56Ppv4Aek7C8INWM5YV3wzJ5SEmHPv/BlEfPVwruUVuDhP5XVGt9ic9NlrCIR/FORXmHcO2x+ae+49gFcX5WH49x75B6nBFW2lkG+zcnzkWzB5tdzVi4CnK1vfWATcy338V/e4Jc/UCt0tCL//SRtugR8T+CHuxltWM68KDs2Ay4zceL7pXbkU+8qZoTK4TysxRHKH7B6GeXdOANuX3g7jqED+bFWF+4k8LBNxZEBzAcSH2t0lP/3/faPRfI+Yv3Notl323PIvYZvLvt8Qn5euLNWBTxOKaX8+Gfk8bva6H3Bt2QKrnB1It+uXmpXDu582Vp6CvNXVaGtP8BnHxm4VH5Bbh+ro7y/AnKL5FxWaBfWrwb/vrQBf0tPdJt1Iz9e9lg9Ffy0GEGztwebL8LK/Z3gN27NSi9jvmH03pexkkToMOiced2LvI3QEdECf1xpHBTfh1yCoYEcCC7nS/XkXD9yxbfiT1+C++meeyM5gPxbyN3ry+DlPPZfNzHnO7N0UvwFiZghs61/GMTqwkqPcABfj3NkyhhCzpGReTgLPIDXlv/SMDaXpRZkB8GnvSkllEaQ84oeU+eogntusqYC/Vfkt9IjrYzAGVwOqPZjHpvWE3QbPGa6TDOXhPySwp7yN+B3tgxqeZORC0e5L/wFt899pKE1irzq0WuFIy8hH36kJTjGsD6cwBV7FZzbkVFuHPMCN/eFAvAcuwLR8nGsnx//fHYK3LNyalfwBDZfZI70ClaTiG7Duq0nJpE7qzy1sgKf5Du4wD+F1e8t/rlk8FiuQz1zmP9mehT1GTxY9HNV3TRWp0uSsow1JEJZkyblzgzyR2qt37TAt5zp8DjzDfljlqsFQeATlgf0xb4jV3AT8a0FbzjMI/gLcx7XOdM1cLm++0vvfmD1y9esIFML96DDxQ3Js8gFkwoPuIIHKpyIujiHnUNyrmgueGx3kMnheeQ27FWHxsDL1whOqgUszxNDOnx18HljIns+Y97tyXnpNPj5iHN3Hy5iz29ySEus++/7xBr0Ly8h7zz2uesjOIQNymPLyCNWTXkYXsFcYOetYFzB5tr6gqsWePYku90g5nWnn7UHgQs13N2et4pcXSRAvg48PObei+s/kc94XilaB68/xm+lvYZ8zihI+nA9ifCtE/3LsY7cu6W04TK47FpF2jjm0YuUVvngh/teHy7/hVyg7xrVFHi4vlFb0G8sX0UzvBBqIBF0KpbWxn+wuuZv9rIGP/NgdJZvAzu3Dx+rpYHPmkz5zGIuwpfL3QO+fNyBsvYv1p9zv2yyNpIId5fz4ZGbWJ43FJ43AJfO7qI9/Q9bP/+T77fBm0n1YcIU0//3WjG9lWbwWFqhLT8x/xuwm47yNZyrrb+9m7YgP3iAV+wYuHiz1vcESuR0x45b+IKXiG87c54KufLbR3GV4K9FFd9JUiM36jzYswRe+WhEchPzoitTwpJvoH8GLSe202Be/CXUBfxSsffPtK3IwzKW5p+C17M7mzltw55/XNN+HJwtraVInhY506v2aYEmEvFEOIlmKx3yh4yR3mfBg7LbTnVh3qkasCMN3O+PS+4jeuSGLnkve8DFWa+tXGFAnpO83ZWtmURQdUwoE4zI9T8XHTQGF9lVF8TEhDxN5Pb6HfC0/l+vBzFvf5b5qQWc52caRR4zcsoLy8+3viUR8iczFa9vR65qHZqtDn58mMZdiwX5lXzzRzfBnT0/PGZnRW5t7phfBx5Fsdo5ivkLl5qG3+BWDn6bJTuQs64bj8q/A4+x2R/Ihnx8mxjLNfBPlg91DdiR336qrVv27r/v8VB24eFArjaWFzcPvvv6oYgZzCXfmY0dfA99O+FW1gtO5BY2WmrO4EcmDrwI5UKe/eJm4VPwh2YHWkx3Ip8cpN43Af6s6Wav4C7kbb1fcoVaSAT/rgOj85hPVc4dOQeeICs6U8eNvCLEvDsD/Oxfnx9RPMhj9BkDBsGfmvL+OM2LvGwX66FdrSTCmmf7tPBu5OprF1fMwRXkT5BWMddeYHidCF59m9z1hg/50+3U9zvBRVdfNcfzI5c4ZxTM0kYiHpyZLrMRQB79Y87TEHzpgdV9cUHk5vVjHnfAOx5yB//B/N+oRGAreKaaoF2LEHLy+c/JtO0kIuviZbV7e5DLa7VXa4F3faPafXEv8j1pAt9DwGnKh5dl9iF/4vBR+A34+wd/3lLsR/6oqv/Klg/Qb2OskjswH0tWeUuAa1z4d/6+MHJ2RhqRAHCO36OiziLIXwuKJNeCP5XdOicvityGnMfyB9x/xaGIRgz5UbOYewodJGKMY5vLF8wTb30Ruw7+4/ronqwDyAOu+7VWgvturPe5HUT+UyncaxVcKlAnUlkc+WDPmsThjzAfv3bK00sgnz/RsXwVPPfPXXIv5j0VDM2l4NmlUeHZksi5GEofLYBrfq0S9ZBCzmNZf0fyE/SBC9zvVaSx85Avf8sNPJyr+AKzDPLArTxhheDFQ9d+DWLO5+mc9AM8JMb1zrND2Hn4s7/0wGfI53RJPN6Hka9nn+h3Bh8W+56jIYu8wec7Ux64ZIebxA455EsBq4Yz4O8/8pV9xZyx7sp9kU4ScYvht3ShPHIXJeufDuBbz/4r9D2C/MSWequn4A2Z4vuPK2DnhCPx4yT4t6JbaRyKyPfeHDHc/4VEhF6kYBjDfFMrc+Ai+OkHj7xLlJAruvdezQb/fciJ5K+M/BZNBNcEeCOFqabeUeSO9GXv93ZBbhyxztl5DLllmHmYHbhgbhTVJOZ5gV7GT8Ct5fqsygnkkRs7hMfBaW3Vy26qIN9BJU6/t5tEOGxrpzJUxdaZ2vzLFvzOxpUTPGrIB5qGVx+Dn+CRTp/GvCjKa3MM3EKZgVyhjtx0OY5tbw+JoD+yKXRLA+s/WyRk7Xr++94D2vPGmsi/VxvaPgFnEhBL362FPGjfSsY4uEDtuc/fMD+oxT+xtxdyYEI+VZU2dh4EPx+5CC7qSycTehx5TR19ajZ4sq6PlYkOcgO+DzST4AkDv4L5dbH1H98VuL+PRLRSRGb/wPyUygK1A3jtXZGml3rIW+hN7z0Fz3PqGgnTR76SryY3DZ526s6qqQHybSINZJF+EnFRzohW0BA5x632VCfwR308XHOYb290tM4Dr2ZfFKwxQv5+IknyO3hv/QeRCGPs966YMR0cgPxWVHLg5AnkYks5a5fA31emiAmZIP9KujNXCD6SH7JvHvNLTduW5sAjLnjw1poip3+4k1JqkEQMFNluv22G5RavBj538Co7s82TJ7H61YOrLnirhcaMkDl2fgT7/ZfBb56R+TSP+Zk/eg2Hh0jETvXd5bUWyG0HT2/3Ak8gUyXcPoWdqyYqlxfgNXQTl8xPYz9fpftlHXxvTL36Hkvkv15KHlccJhESqgmcC5iLtZW3+IH/XjkzUXsG+dpsr0UduLcfT8ltK2zO7s1Y2gS3yPnoZX4W+afL1GkqIySCT9tbYY819vOdzIbB4EySrOvzmPMZ1DE3gctJ3i+rtUH+jswyRPOVRFzZyeV0+xzykHj6Sm3wUzU3eczPI/c9m3//NrjldG+L0AXkhVorsW3gjy/zeM5jvs1wMpaJBHlSUJe71hbLjZ7B943Aq9sv1EbYId9X3VIRD96pamd58iLynQJ1g1/A3xkZrAjaYzkh5ywzJ5lElDXzRs5h/sGgwOAUuPfVzzw1DsgpOPNS08Dr9zo/C3dELv7PYmkInCJ/QsbMCZuzdC8s+EfhPvJFrUrAGdvfQ+9bzoNzXbqpMIs5XeCd40/A69QyKl+6IF+doe6aBP+1N0Uy7BLy/Z4yl0THSMQ+0uUnJq5Y3uPlZL0EflF1Dwe/G9afx0peF43999/PlgZ9xzz6LVXQIvgD0Z3fXlxGbt+8Xf/wONSjjoVhyBVsv0a693iDO6m5Fhm7Y+tntaCtBo/9eop+91Usn59J/LUBzjK788IM5v+qY9aICRIRJldQUeGBXEtSm/IWuGU4K02wJza/Kl7tegv+Mk/b2PAa9v4Nfh6lm4T+6WJwj9sLy+1Lc2764OWJggOTmF948qwgFjxx4fXOcm/kX2yE1zrBw3SkTAOvI78j5GTIOQW52snxtp4P8sWZy2WnwRu4nWu4fLH1lyvvyQCP3n94ZgzzPL9PD0ngHubNO0r8kAupHDywdxr6swfvkRs3kEf9NX7tAC6tfeT0cX/kOSWEfT54WyqXF3sANjfNf3HOg9MffhlDwtzgW0CXzAyJUBvheVwQiPy50+cHXuDx546VX7+JPPjT4rVq8JFg/nqNIOTd3OTTm+A9jK/esgQjz9Z4qKv2jUTMN+9sHcK8XUfqeBi40zWJltxbyKn2J5i0gh8f/fvGMwT5SNdbJ+bvsO9fQqtVQrF8eOJjtAm47PbmAsYw5ERKwatkcDmr6rQ+zPUe22wMgIfctAt5Eo7NKbcZLf4fJIJB7bXTlQisLy3rPrAFD7Tv1FW+jfV5iVDKXPDz5XeFaSORn9+V6vEDfHGWmqILc57i8EWpWRJBDO7tyozCz8mJG9fA+VSWHrvcQS7VtM5WDS5GdrksH42dc3n/qk3wluA4OaoY5HYEyUl9jkQIz1j/6sBcs0tIJGLuvz+H6X6RFovcYUFzuR28mG3F3T4OuWu0bhvrPIngtqkSlonHzv8T6RJz8AZ/wf6/mG9IbmSlg1fISIS1JGDnViT/IQm8U2VYIukuNtfCiIJ9C9CfncW/nEtEXqle3eQM3n11t8fBJOTLp3i/FYOf4ilgXsf80yt73lVwhf192W+SsTzgmnZGcZFEKJ18eCT2HvJE66qngeCTTlTvLFOQH7vdSNEMHrWP4sT+VOS0k5X29EskQkUnqWcRcwrX1H4j8OmkRou6NOz8cDqfTgIXbr/VFZGOvZ8+0ckB8MsFA/pm95E7F/YHCixDzvnZ1MCfga0/0ne/PfhzF1Wp75i/dGQayAf3bjVMr3yAXO7Y3bRF8Ped37cEZyL3pGRylF8hEZvqXHYGD5E7Ffip+YMfHv7YuDML+YIMSfQN+Imz7DzjmL+8o8RHt0oiNoLHLhc/wuZFSQy/EXgeo3KD72Os7hIHxJPA71XxMmo9wfqthIDOIHiTRogpazbyH9fOuQv+JBF/3dyThzCfsLmf4wD+aWW062kO8vDRrulC8Ht3e5k9nmL7u0x/ZAXcg9ZQ41gu8oIIIlFxjUTosWheo3uG5YR7Hn9vgn90qMnqwryNPdfjHfi1tuKWzDysvn4O/2RaJxE31gRmnfORi0hzhpuBTz1lYpQrwOZd9Ym96eARKZ77txRifTI0voMMPhdiptyO+ZHbPaEiv0iEj0iBwb0i5FVVgrqXwXWO+VpeKEZeS+vJUwmuF1R3QbwEy1euHb82wGUKPO3XMZcclJ5Q/w3vx+fBxTel2PM1M4cjwU8+VjgXU4Z8/SHX2GfwoTEN89PlWD8npa/u/EMi+ldeae99jtxw/SDHOXBybM7hecwvDLapPgU/6fabt7oCm8v+Pn5z4JY6LylCK5F3fZJ7LbsBv7ef/NXoBXKrFmpOf/C4vqvV3FXYek6PezWBL/51jpvA3M2zZ5zhL8w1ypbzJS+xfWccsjEFj8mIkvCrxt4D28+pNPCc8NKfmjVYPvHf5z8KLnRdoZqlFjv/ii78Ypskwna/kM8g5u+Pvu9wB4/VcT6UU4dc1udo1Evw5BSWmSuvsH440ma25R+JONjKlqZUj9WjtecBHfDPiVe1tjYgP/1Dfns8+LuiA3OfMF/25qLoB+fqOBqf3oj5EtumAAWZSM19Kmn/Guv/hhJ0TuDkZYcWqTfIlfwcBEvBzS/6W//BXM65QesX+O6yybnmJuS/GRR9VLeQiX2xj3zjmrH+eaK76jb43tLiLWfeYn1A9C5NJ3h6O2PIvnfIVcM8bbgpyURbUtWWBcwrzX3fXgB/3VDqW/0eOU1UtmI++Mkta3MhLch/7lirWQbnZgi3NmrF5unIZV1lKjLhGX+uZVcbcukhlskQ8GjtYMlxzC02BmI+gJuSvsUVtSPvF/+owUlNJgKYU2evf8D6hs3cNhvw2yFRmuod2NwPUuh7Cl630pDC9BF5ws3SigVwQdYjU72Y9+hbPFSgIRMxUfNSjz4hd+w6kBIMnsoxee3SZ+SPaaQy2sAfn+OulOtE3tBhV8y+lUz0745apPiCvGN3W8dZ8P2bciJtmNeRbP/kgKuU8VomdSE3pZGSXQB/+k0x3KYbubyP1A2FbWQiwyKuWLQH+bio/adgcPFnPF+WMX9B3SndDi4WO7hY14t89KfnQw5aMiHxsoMhog+516wRrw14Ss+ygEk/8rPdttm54LHJOtK8A1geSy9VWgKnyu1QnsSc5aDiVyU6MpHzMki9ZBA7tx6bsaHgqz7nNX2HkLvY/DP4CC5775KaxjA2XwaO7tpFTyZc67MUmUeQ3/xcvXgB/MrDf+J9mHNKefcWgHdPhfA++oqcbdSj9Sf4LzWprZdIyNm/lLaqMJAJGhuK77Jk5NFz0n2R4OTp5dZ/mH/gX13qAteMpstpGcXy4YkNbn5GMpG7Tty4O4Z8/5Xjxk7ger1JBmfHkQteHEgoB1fopuMWnkCex1M++hdc+UEaeQFz04AvxHEmMjE/rPWkehL5bW/lvATwPILpQsgU9t4W5wSHwRPcfnAbTiO/1/M9R5gZnGOsg2sG+R2WwwpXwS2/zvuTMde5/b6vFvyCF6tI/jfkAWJ5odu2k4mZEK0Pnt+xvjHcT5iArz6Pdj32A7nJnVPbMsCNSiZoaWeR3+UXHpoCjxEwyPyMecxNrVcyLGSCtvi1VPocdv5TXhT6g49Sa9bZzSM3N/LLew++2dqpIbGAPD4m4TkbK5lgyXN+t4a5w7HNNmvwSF0GzcZFrC9p1y88A882K6+LXELOH98jtArueOW8tNkylmOpNS+o7IB60WR/uHsF+dUIhuIo8Pd+rXRTmPvRHKDrBdevDnYrWcXmzoUnV4TYyIRarlKHz0+sP0dcn3AFj/uxLKK+huUQq1yHl+DD4nkBjOvIg98dXqNmJxOZO85+7MY8oZgv0RicVpWBJ/MX8jd/7I/dB99tU37e8TfypgTmn1PgGTvMHkv/wd7DGc6aQxzQ57f8+PobczmlwOhA8NGPPlxNG8g1dum6toGz793Qif6L3HrQ25KLk0xEPHL3Nt/E3psD3Ulb8Nn5vkz+f8g1H/+zKgZ/VgJTE3MfzzNX/4CvRHiTSylm/u+3GnYnaXPB++ct+O27BXnFJe3mu+DT2z8wa1AiV7bupySB99L072aiQr7Tt8vg4E4yMZXVIdyD+b5shZzr4AfDCw5mUiPf1UTH2AwefMr9oCMN8sAazUDWXTCnqniEpbcir7089+8seKFOHu9vzHc0U8fkgfMU8TC92YY8MfO26Bp4S7jbehQt8kNj/p3q3GTi2vWsETM65JUeoxFx4I8Ey+t30yOvO1ylPwyevPdR+iTmr+ko+MR4yIS9kOvVYgbk7D3VG17g4zU7NK4zIh+5MTP9BrwkPp5FlQm5IPnOKAsvzCON6V46Zmw9E9kzZ8FDPDjSOjE3cpXdzAN/Vs9lkb4dubelssA6uPH7WWY7FuSxsTVGmrvJxNrB5MaDrMg/z5XfSQAfu7P98irmJpb7e7+C84ef4nq1A/l6OZukOB+ZuFF9uTqMDfnt4RuJvuBxzaanjNiRZ1Rd2PYe/JUW1SIXB/Kn+9+Gc/BD7hq6EULCfJ42l8MWvHRP/Y5nnMhTVehKS8DZa96nu3Mhv1/07fQmeAuRwq+4E3nrIQMWfQEywWB08AHlLuQfSqS7UsG/ht7iasN879bU7ClwtqD7UXe5ke9nDwmRFSTDPfTa7zM8yKlrlq/cAs+UY7bby4u8aWDa+TP4ZVG79z8w1zC1u8ovRCbunPASrtiNXInaIdwVPFNXPcifD7nsh8VnNeDcJS3dmvzIU6JpBuj2kAm53bT7mAWQZ+59zHUKfOHgX7cezK3c2y7kgG/3fVr+QBB5tUlgzQo4XybNsr0Qcr+n9YLqe8nEJTlOcck9yOUNo5PiwTkHes+vYW69b4aTBP5zj058/V7kcgxd2RL7YB8LHWvC92Hnf9hQzR+8gkWWZLQfuY6f5Y82cJnJgn9cwsjVG9cec++Hc/iuYxcJ8yvRwk5O4Er6qRK5Isi1674pVYHTMTMcuyKKnEdCjXebMPSrJ0LHj4ghZ6mToDcHL88d0ac4gPUr7VKabHCv0qP67zGXeNbKvAL+yvyYVtxB5D31fvvURcjED8mviqfEsX1xaNZJAJfq4hMTkEBOupHrRwb3HvjDNo156+C+GilR8H7P9WJJ5DbnjtHeBC9xiOj1lkJ+Y3LpwkdwWx7ZUkIaeaeORhufGMyjSJ/QbTLIv188pOoGLqZnZvYR872cjU114E+W3uy+dwh5mezcSaYDZMKB8x3Z+jDyrMyaFSvwRD2rh/tlsX4iIZZVAM4mHHx6DvPfdYpnNsDTjsozVcohfyY8J6R/kEzc2+Nb4y+P7buW5no6uI6rjp3mEeT/llUGv4NXFD3exqSA9Q360TYlcTLxwC88uwvzNTvR1ijwew7LR+8rYu9nkKtnEHyJZvKTrRJyNp2i+QMScL+bOWt9QBk5f9gs5w1wqpzTk0uYH7rUo9cOrv6h17H6KHLbLqcYXknot4s9E0HHkCffyx25BG6ac/KsDoE8Muauch24yQ2TjywqyL/EH8hlkiITZTTtSn2Y9/u4C1qDb3xpeJSpinyQzz63CPzGdUlqBzXkP07RH/0Hrh7CeU5CHXs//6y/GknDvSbCs3IV8+rvdrEPwfvZj2+r00DessxrsAj+rDrWJEQTecx8+E41GTLRSqeboqeF1WNlzmICuFTCtb4d2si38fv2jYHHjbGwDWBeTUH14fAhMuEUzX086zhyXhm1j6Hgf/nivR11kDfcPvK1B/yMsEeWpC5W1yOTG8KHYQ7K1jf/xFyHxlDEB9yj12O8Tg+5f7fb+VZwofuxf0P0kSfs1c3lkYX3ycrKqm+AXOs9aeMS+OXmn3xshsgPJB+yeQWeq0kID2D+xFb943Y5MpHOPyOaZYR8lobV4Dx4GGlpv6Mxcg6TjL4ycHuOM3ySJ5BT7J5xp5YnE1v1BFh+Yu6ktLrTHHyFSXWj1gR5X9DrD0/Bg77VjN4yRf686UTcL/CWS7FvdM2QS/c9Pqd3hEwUCFQ/YD2J/HTcy2MZ4B3xip59mDM23hWbB8/Q266RaY7879FDe1UVyIRuvxyzvQWWJwdSDtwF72gu7jx4Cssnzs0qE+CT6dfjlzGvbXhpK69IJnZNxupWn0auWuKVeBu8WGLl701L5KsMfzsHwav/Pc7XPoM8PMeAX0IJ7jVjGabMVsi9TJx8boIbXCCtdmG+a9SY3AnevdU5If0sNn+FaSz2KZOJT6cVRC9YI19YCRvwBhcf168WsUG+xNPr0gqeJfFYcx5zdbef9LuPwn2/UbGt4hxyy7qJF5fBA/bt0LtxHnnoQPbV1+BSo8LNaheQjyXLK3Ecg3tBoK8CnS12Ht6kszqCc4fS5n7EfETqy2o1uIrvJ5ZkO+TDxSNTTATM98lPHlYXsf7DUj91DjzEiPazkD1ymr3XVsvBZY9eE5nBPOzlFtZtKnC/k+X0LXbA9ivroqIl+OSrmeZrjsgX87LcC8F5bOYYlJ2QC+dUVlKoQr2nC+lTOiPXvJBNZwbO+ick7D3mwUVuzk/B87aw18S4IJ86zdb/G3zgcMeM2SUs3x5KPGmoBu95V9kOHlfkV+mWvmaByx+GKsa8NU/8+iq4G92iyVM35MUT2nw66nB+dus4u15Grh+h2nkf/P1yk9+hK1gePseTuACexmIb/gvzK8o9thoasC9rgtH17sgdZq6qpoD/E6OIDr2K/OfhpYM/wCckNsL0PJBf/GG2X0WTTDSGsvuxeiL/OJQungguWqbt1Iu5wJd3atPgN+QST2RcQ77zfv9FZS0yMZS4fsjWC/lx6s7kOHAZIw8WUW/knH2l3ePgElOUU3OYV4/5CClow9wZyX7x/DqWe5fF/KPBiyosg319kPt0Nk+Qwd3m+LVVfLH5a6BnJXcc+gndCs1WP+QlErWkSPCOsO5XbZgHqO3y+ApuPPXaPf4G8lJTW7bDOvDe8qr5LPyRHxNPb4wAdz1R08wbgNV1aqP/MHiM5Rv7Uczt7Hq1ZXThHqr5eUtuIDbXLIb5w8GpEsaSXW8i51buohkCD3y1vu9QEHZ+hmt/SemRCZLO9uJ1zJ/RpPwJBc8t2yfzKhh5o789wyA4v7di8a1bWA7cLioqpQ+5gkN/v04IctkQklko+C6G0/eYQ7H+lh0dMwBO32ND2YX5XiXpHkkDmEfL1g6pYVge3t5+IBS8jGT21joced2MdewAuB+3Cv/eCCyv3v1GIWVIJhJ281+dwdyg6/LNUHA3+4VXRbexnOw5zzQIbuheRuMZiVxR2fmZlBHcv6pttRSisLm2RDIJA/9WSxm0iTnlOTP6IfB/K9EVb+4g36HX/FHamEy8HaYaj4hGLud3+HE4+LmlC4yGMchdXjwKGQbPLnwmwRaLPOgti+ehE2RCM7JHtw9zzsuB7rfBsymnz2XEYfXuPX/jK/jfuKErF+KRn8o5nyxrAs8pLvMVTsD6f2NPXRS4Qq9jwA/Mw2KMlsngNsF//UrvIk/80i53xJRMUIhd9vBKRE5nbhQRAy6pXWunlIRcebB3ahy8zmTMiCIZuZmIw0klMzKh3zx6uBlzPcrNT/HgClwv2SLvIf8mnmE5DV7UYPfDMAXrk5c1l46dhP6mMP6KLRX7vHfW7iWBF/2SjerDvEP7ud4PcNvrp05kpGH7Yn+DSd2cTPw5qMt6IR3rk/nGw6ngvjF0bfvvY/NiULpmATyfLSngO+b9VQJPtS3IhMCh7wdKMrD8v40v6wG4uC39F88HWP6JEnu2Cr64a9FDIRP5BI12vf4pOJ8fMpg3Mc9X9Bx7DD6/xPz49UPkbD/KOP6Aq1CoS4dnYXU6RGVucppMeDofean3CDl7h8OTZ+DhObOKLI+xPB/8lWKLJZlQFD1f2YX5g1oXl1PgbA7xB1KfIP+nzDReDH6m60ba2Wzkzs1NztvOkAnhCUEqoRys/3Pd/WcNrs8UeHESc8nl648qwZ0bEhrznmJ5idsb8hOZGHU/w3U5F/kjg5gd9uBfE3vtDz1DLmNQ/7UO3PA+Tcka5h799DUcZ8nE1O+xpZo85LfK3J+4gu/Z4y55Mx+5YcpKejO4enj+RY0C5HG6iVm7raHPp8Yn0RYi74k4UXENnK1NsL4dc98d4r0fwPljLEfjipDn5ghv228Dc8RU8Z9ZMZZ7qdU0A8CPRddz7CpBbv7tRnwPuEn+9L5hzI9w9X+XOEcmnvM9l8wqxea4joVZOHi3hcChi2XYXCDWW7+Cf3t7QEq0HHt+Za3RkfNkYm6wa/8s5ouXskfjwB9t5eYqfY7lZ4HyWzPg8ZW/KK5VYPsSMymjdoFMUJ+5On6kEvllT5WFNHBW2+DGDcypYxtrlsFjjoqkNLxArpbunKRvSyZ4T19wDKlC3ntS2T8bXGCvpMzxl1je85P32ARvYoxeZahG3v7OytvCjkys3/Qt+4j53bWC2yXgHnOrjndrsDn+ViSP7iLMndd/d1rUItde+NR3AXzFOe41dx12rqRyOGrBtc0KLo5gfkrt2TkOezJx9bsR5aNXWM4hD7x0A2fO8Em5WI88552S4Htw925hEdEG5K9L2pMFHcjEK4rTpT8w/20ew+0H3hPJcLikEesPnkEFXeAuX4+WeLxGvqUpR1/CkUzMOM3tk3+DfHlz83c4eEQST9JvzHW/Rr4gg2t9ePO3rgl5Gp9esJITmRj3m7AJasbej5fKmSTweYbAGo23WE7OdFGbBy+bimGhfYflVdMP8jrOUF8+bDZtmF/WtVd6DO4rxvA05j3yiKPyBn/BN+w8p0+0YJ9rQsXVwoVMiCUY7OFoRc7061Z6KbgsT5JFH+bPpbf0MVwiE4xOOqHpbcjfar0Usgd3HHcssG5HPjZf4NcA/nZ1sV3wA/Lr40Oj3K5k4hLN2OQ45g2DOqeugV/wU/z9tAPbxzsrgx/Bvep/bnX5iNVd0bCrmBuZUFXgZJL4hJx3jYY5FJzX+B7jIuZhu91qv4KLulynef4Zmy+9nD6Kl6EvLb5Y8+pEzjBEoZEErqxjNqbwBTkt6eDuBfDz/XrvNzB3S02n1rtCJn5ty8ip78Jyb53B72xwSiWtgOBu5MyUGpsU7jB3+jSNNHuwnMATyGL1n2um7aLtRc5T/0/qBbjRlOpwK+a6WW9tdlyFHLhHKS26D3mSV9d9V/DX1iHGxv3IFZZFp9+DP/7LQ8E2gFyr7Z3qXg8ykWRH8awb88SyomeB4I1rknopg8jbrL7yD4IL8DybtBxCbuVv+UTOk0w4yTj77R5GHv5OQD4BfHeWOx0J89NzMn2z4Lda6+IejSDPexIfrnONTDxhNWC9+BWbgxlHNbPBzft3RwmTkB+IlGfd4gX3mhCJzRnM6flufrcCv+3p71xARv6OfmdXFfgdRrpPbqPYXKCkaGP3hs9V9FFCegzLq5VHPl0BX6v+GLaMeVzv67F28KDEbX0V48gFd2bSiF4nE1vuXxO6PoH8pUiHbCj4VZmd9oqTyCWqjT3J4A+qZh9tYM7nL9x41Af6f+xK36sp5CuCprxp4IKcB2iDppFPneoK/Qk+URgrpT6D9b3P+X9NfMmEUqWACc035BvKA7eKwVtjhi69wzxC59xORj8ysZncePP2d2zuPD1W4whOK9ERrfcDm1/UXpeawUfKKBKZZpHbsG47KHQD6ijE4u5HzKlvLP0KAM+l+BwVP4flw+UjPYPg9mEu/qbzmO8bbDjiTyaiPPY5ciwgl2rof5kE/m3fX71ezBWuyjYuge/+syCSuoicZmauxygAzpvxv03LJWy/Orf+KQA/fmt/B+8ylicH/MXpA+G8Ldglj2DuXWLm5gB+fqXK4uEK1g//RdU1gZO+C+y4sIr8zrW9PEI3yQTHofTmPT+RG7ziCw8Ep9y//+oE5lZhfluGwT0FGrieriH/4qMUqRgE/dzfodJxHXmKho1gCvhiKreh2C/k1glTb1fB3T72jnzH/CFzt69pMJk47ZPhWPgbebadyNFS8DNLTt/d/mDznRhl2n6LTJATlRykNpDT6VLNXgIXqmEZWsT8h8SdgVbwnfVTOuV/sXWm+PeIhEC/+v2qxHMTuY50HykMfOltIovcP+RbH9//NQ6e5+/gtIZ51r02AfVQMtHgLVtTRfENzamqi+ZZ4CzMf2l8tyDPKXZJ+wcun1qro0SJ/Om+kR9nw6Du3K+GbWBe8qbOoBbcbZ63to4KeYQMQx13OJlIda7+FkCNvIb7naIPeK+izg4VGuRP9i697QXPffFOZstW5Pbrd87LRZAJgyOH9V9j/uNoCn0S+Ge2aOtb25Av3Gd/vQxOk/XJSYMW81rKCJPbZCJA7q8rDR1yBU1bq1LwdDFWl7eYDw/JESyRkBO+0J8Pp0f+SixA6jI4bfi00XEG5MHdClId4ItpufJ0jMjTbzkfE4+Ce5ydzs5WzDUHWc7cAb+i0LIYyYQ8JFg87Du4utv+Jj1m5CL8jfW6d8jEtIVNLON25K3m7dvywOd0r5p+wPx9h5E1XTSZeJZ+liWGBbnJQf03juAyD/jfGrIiP8X+Wu49uGNOpef2HcjTDpRVCcfAedsmyPsJ80zO3Trh4IqcZ2vj2JBX+lBNT4J77nU6eYId+a/1i0lasWQiJVR9ipUDud4RzRM54LZ3vrl3Ym4xmMWzNY5MWEVZrSZwIo8PvbFyEby96567KRe2jwPdg83gb6rTJtl2Yp/3RtHnffGQc2JtzbowL2be1hMK7v54oTpxF/KJQ6TpCfD9OircJ7mx9cQo0mslkImLn42vcvAgl2jgVMwB3x0t8KYb87Mu165vvUsmtn0oZEzmRf5A2qLZHjyd/NPQfDdyr+e1Au/A+Xl+3+bkQy6dlBMpnEgm0loq6nowH/PkoIoAH1IW+ZbMj9xxhS5yGty7yWi7hQByp+ch/DpJML+KxcS5BJGfOBn25hn4msEL9V7MT3lv96JPJhNjs8sm94SQ+1YLyLuAK4+MWFrsQR70qnprO7ivq9cZrr3YvguNjB+8Rya6ZqrMejFXDI/6HA1ukPVE694+5Bcj37TPgeeT5aUt9iO3bgvrMUohE37rV9i5hJH3THfPlYCzHTJc6MFcLaiUY0cq5JmRD03JIsjHZbj1PMAbtefizUWR16ezxHaBn6sptOAUw/rS6SSybBqZ6Ayl5+zBXIT+mdo9cN1lyg9JB5A/09UvWwdvMkq6cfIgds6rAqUs0yEnTNbv5RBH/m9eva4G3J86qLkL82sxqad23ycTccs91okSyA9KBVEGgmv/q18wlUTu4P6nmgR+46qiH5sUcqk52mC1DDLx8Z7GZifmp9XyLJ5k/PfvM4d8EqSR36AjKW19QCYOCG2ZOyGD/M9InoQjuAlPiSXrIczPMki1gnfPTdV/wtxNkFLlYCaZkJrM2R13GDldU6x1DHi+7ncPI1nkOqTnUQvgxhfLXzPLIb/KcvWdyUO4Fwf8pevAPHbuHWsFuDjpnU60PHJP9hfOXFkwlz+zBOsfQV7Fo9LpA56d1lPGoIC8OsP2+BD4yi2uoVbMHx0S+nDsEZn42/X5721FrK69bpzLApfrptqpo4TV9eZVSurHMPfb8sVolZGT7LaW24NTUryXfYe5nar81RZwuypzhbCjWL0f3Kpy8AmZuK9kLqt5DDlnnQdvLPiWT02i1AQ2l6NublsCL695yPkG86OS4ltOZpOJexrTf4JUkG8c86WrArcqSe1XUcXmxQlHAZ4cyNsa5cX/MD+xuaYZAL5D61DAKzXk9IOivmTwY7+5NP3VkYsHbNZqPCUTtdk21MoayF/6ezHngnNF09b+xtzzcoIbQy7cs1ZYLr3URP592mTYDdxXwJv9uhbyy4FVlp3g/mYKFXLayLnev5mUfQbns+uk4Srmry2uBaWCXxxr/Vp+HDnrmw9if8Fnm5Kdrupgz3/wYfRcHpkYrXnxXUoX+7wB1541gW9jOGg/j3nPanOASD78/MpiX6Ee8ujU+gt3wBtrtmlc0kdetHHh5AJ4dZbLUzED5IFlJeZmBZB/pnmoZjCnM3xmXwV+oJPT4qkhct4LBqG8hWSiONPy8UUj5PpBGWU3wc8nTEztMUb+82ja3Di43PeKvaOYy4tpKOgUkYkf31pOPzyBfKU3PaEQnKaTP9zaBHlfX9Zv1mKYI6SKAl5T5MavzN29wA0tIlsHMI/fVfNzANzuWjopxQx5kt/HSKKETBT5Ts2Zn8T28Vqi+BPwqJxLq+zmyO8n03+lLYX3cER0pRNzlysyma7g/m483+MskMclMLp1gh+JUB0wPIV86E6qnnwZ3L/epDYynkY+Odcvfx+81EYoqxXzrcc7ZLaUk4nXqf3XIyyxPiDsrWwP/rW47rjWGeQfeLrN2sCffm1nobbC+nz5tJ/UczLhZU/zuRHzcwFlpUn/edDF24FnkfPTHfr5GzzR9bvCUWusP4w665yrgHuBQ9Lob8xN7lnmN4O/yT9/q8oG+70VlLz/Y9NMoHL69v//KWVMksyzBoWIzOFEKmOKBslUSJKhhEJIkkQUokGmMidTqRQpZWgwZR47j7moJImG/77rvn+/vddv/e9ad73W63Wfb/d5ztln789Z9/ZNLpb2r7HqsmY+7z55C6L3sN7QaFaCsTPv2Qs3Gvxm/dHuLUMrhH5OfUau01V2XtjlXj3vwnumnex5k/UXe7QHeiwQ9o3cfv16pxRLuzYcPGawUJhzSgdV7WQ9YYa22mehN7Wtyv/Jepl11rK4RbzHb/e+PDO1WLpzftVtZ1fhOWp78dR11n1PDunYfbFwjmw7e04njT2nqxsveC30eYsW3tjBuqnNh7hIN2FdjX79vpz1a6sL3tov4d0zsk1rh2vs3OycqaHlLuwbjVpYZ7B+eEPayIdCX6WSfUg7vVhq9zBtduhS3m17j/obzPp7mxtrJnvwPqBqzaJy1n2G5W5vuox3i+pV7+wziqWOaQXhOUI/kmzslsH67dZF+7Ys571RenKD9nV2bq55FiqtEOau3XXxO1g37/50c63QH6U1dapgvc6s0D11pfD3bz3vNvNGsXSo8/Upazx5HzpkecV11pu9Oa5n7MV7n313H+lmsved635/yoT+0q0kayfrt6snZp1bJazzkUU3K1kvyGi8dYm3cG7u3np/1s1iiSwvjdZbzfvgstqSm6wb3p1UJgs95N3o9gZZxdJn38KDh9fwfveTpc0e1oNCTUbOXsv7ix2do6pZ1xu153EHH2EetkmtmJvNnver9xY+EfrXGz1n5rL+aMjX72G+wn+vk12B4S12/pZ8XW61jvfxp21t9rO+pkXe5+brec837PGhlvUheTtm3hZ69LKUwIU57P1xbu+bARt4/1HadWg+6/7VsT1N/YTncYBNlXFusfT7XplvrdBfpk7PjmZ9e4sO91I28p6krn2k0e1iqVtpW83Vm3iPvJgVspT1BYc/2wzcLJxTuoO2PWa9wCEk+LvQHb977ja5w+YHy4aU0/68bwvZcvI467lHxr5ftIX3BVsWFra4Wyxp77du6BkgzIczOqh4sz7Gvk+7t0LvuSV2wmvWvdoW6ERtFeai0Oro8ffYe02jYX3tA3nv+Fe7/hzrrtNdDTS3Cc+Xhc6KtnnFUsZAx+6FQi+t/PPDj3W7Ry1b7gji3TfgmN8n1lcs3PLTfDvvM1b37Dwtn63zDkn3lYJ5j5i45vZV1qu6xMVlCL375qNbehQUSzeOTfX03cH7joPHpwSznvM8cciQEOGc1fTT/cm6/o87FeVCN/fo39KpkO0zrQ/En9vJ+wHdlEa3WHf36mDjtktYV+mdmhneL5ZWjZn8SzuU98kX7LtGsK4TZ7j7ndCHbfQwbWA96GFGz+jdwtwVN9vL7QE7l3/VnLXfw/vpI70vP2TdYeR7Q80w3seUFyibPCyWkh8sP1kg9Fka1s5xrJ/8cLxDcDjvn/3OF7Z8VCxpHffzH7+X951JXyetZT1x+N/iBqEnGSs/fc965cP2I6/tE5477z8rJj1m78XRRcFr9gvrqjK/wxXWpcz+DwdGCOeC4eYHXYvY55fpaHwXeptDmgeCWJ9ZcNni1AHeHTK2elSwPkntlfeCg8J6bvbM2ulJsdTZ7mBUt0jhd/1rNj6H9bRHX6++EPq0Vt0sBjwtlp4nFuTvi+L9XkYbh0jWq9uNezEtWrjv/iVrGj0rlmYNMn/TPIb35Y/j45ex3rLfk+c5Qr9kaKZ4xvpHw/K8zYd4N212a8C452xOdt6XbBLLu+o7/ZBzrBuV3zj4W+iJvb2q2r0olgY38vS6eJj3M05HlvuzviY73szjCO+9Ky//LmH9guNstd5HeW/lmrDL/iXbT36E5xcLXaPfLuObrD8/bbk15hjvB9NnfOn7qljqecXH2OE47w9Clc5FsN5miM7L1nG8n+h4YKPS62LJxnaCT77Qsx9rzfd4/Z//PUvRMiie93Dj9dbPWNdqURk19oSwbhPvTRv3hj2n5au71wo9Ib3R3ATWlVu7RyefFJ7fh3rrO7z9z/xcoO55iveRCwafDGB9QHSsb9/Twtz4qZ/8g3U/m1evPgrd66FGv1nv2Pn1yn/IkTO8Bxx4vzWH9eI5e7bNOsv7xoSYUqP3bP9pULmvdY73wCDzBTGsP1e8Ub8v9HWRr740KS6WpgzsaBGcwHud/Ty/Vaz3UUvyNjvPu4fxwx7vWK8/mBhVJ/QvRwc+niQXS11rG6dcTeR9Slv/fcmsH3dMzfe8wLsxZS7spSiWvJ/cet73Iu9/in6YhbI+Zm/v1x+FfkVVfdBf1r2S3z09fIl3E5VuA1w//Of/p1pyx/GysN7GdTd5xPrj1AmX2lzh/Y6Rpv2Yj8XSg3dV4QVCHzS2etMZ1p//LncPShLmhw+FKe0+FUuWPYePHJsszIE7IimAdVP/u/RP6PXHHRzKWE8Yfvz6lau8dzvaLMPpc7E0fkn2quUpwn2pSBx4h/Utg/V76Kfynq4yOWnwFzYnX7ufXSz0ppNeWR5lPbN7ytzoNOG+GDl/bfm1WDrm/67c9pqwD+u9iVzH+mel8evU03kfHT3N8TPrVZmKv7eFvrA2pbftN7bPvE338s8Qzs2Ujqo3WS9eX1A88jrvWqO8KgxLiqWVV9tM+CX0e1VZpVGs613cFZ9wg/dl09Wqm5QWS7bbR/x1zeS97LqVxmrWm81ua9HjprAOT+4YLrOuP7l78AuhN1qXuWLad/ae7m2XHZ7Fu8HR8qR01n9VJf2anM27XXDnFn1+FEsWP8Z0Vb0lzJ+xY1ccYH38+h+jrgu92eQFskpZsXQ5LWvG2hxhv/q3eaEX69r3Up2Ncnlv2zG66h3rX3Mfun4VenKrS/unlrPrUNh0wbHbwrw3MXf8Ndav1862d7ojzNUDnisbVLD9cEW+qdZd3g0Nv9yPYD1knF2vAqEXn/l9VuVnsbQ2vOpv4D1h3tZUOeDFer/1Z++NyePdKF8j7D3rmzusDqsWevjYrlFWlcVS423W0y7k8/78pcGldNb13pmoLCngfRQNe9HnV7GkIg250LOQ95SO5q0iWd+fOXLGS6HXhdraNqkqlvZunPQ9/D7vG24vOrWadf+9LhsnP+DduY9viw+sn+vo31jlIe/7uu32m/6bfZ++cYHpQk9rfqo+k/X84rv/vB8Jz6/drdAB1ez+OpS7GT4W5q6FHwxjWf8X17bgo9DtDjV9rfaHzT8fhunHFvHu7jowcj3r2YZ26+yf8H5RZ96ib6zHRC3NVn/K+5DR4aaONWyuMPNtdFvoN7Ty+txhXdV0w8hNz3h/2qq5zrC/xZLaaS+3Yc+F6xk+rd8J1sdFzNpVJvSFSjFmbf+x+ar7oNMnX/C++0bZkq2s33KqvjbvpXBeG00+XMn6fZdTOe1f8V5x9bzCpbZYCphslntf6ONSOg17xPqVfrkZQa95t9y3O3JsHXt/6TrgnPRGuF/nW7a4yPqDQRvCqoWe4LY/pEd9sWS19eyyxLe8q+j27ryH9dW9r5kufifs/+OzUxtYVxl0unn397y/MHBfvKKhWNqWuirvqdATB3fRecf6pMcdAkKLeR+b+6LMimRp2b6IgRYy7y2l4/eus/6odcnTOqFbNfhc6a8kS3rztVYlKYT50NUpIZb1t3s1Gi/7IMwPTyYlqSvL0tCbb3brfORd86xl/kbWh9f6arwWurrF9J8/WE+aqQja+4n3SNWlvec1kqVx39r/nvSZ96kTwpfe/0+/1dZJ+Qvv/h53rksqsvS+5mVyqtDNH7TseYF1zdhFzTy/8r7ooUt4D1VZCsu+PF3/G++uBbc1w1j/sCE7/J3Qg3uOPqbUWJZmvw6/G1HCe26fbFMv1tV/da+eWsr7E/NZP2TWXz5x66z6nfde95XPzmgiS+57lw5NF/rzXhlrbrE+ZIzehFU/hPsbE2wzpKkseX6OsO5TJlzng24mJ1jXO3JtWrHQv3vOGty+mSzp+IabHyzn3S1g3qjtrDds6ThoWgXvpO8zo4b1doVWbRv/5H1EWpyve3NZinQ3KksX+ox9H8+/Yt3bLf3GqkrhOmuYVE5pIUuuz8q39fnFe1ZQvMV11n/n5o0vFvpQW93TA9RkaYXF5JoDVbzfLkzrdJT1bwuXxVn95t3W2jVas6UsWQ40slCt5n31QP2+W1k3Tgt7e03ofvfYUct6F/U9y7z+CJ9fVb52sbosjTcxqNSv4V13a/XgF6xfnOa04p3Qm9q2U5rcSpYMHXXk/X95nzly6ut01h0WbZk85Z9w/obG5PbXkKVQ/1VnlWt5vxyvknmE9fq0KqVUoec/C7yj2VqWors1mbaijvfF63q838p679T4cN163p0URY2rWdc7cD//ldAHux0ftUSTXbdbW+rCGngfPnen/yvWw6wydCZQCf/7nfY8mdpGlmokv3H1QvepOD88k/VncZn2V5R4fz3s65lBWux7bg90dlfmPX2s1C+e9ZDfd116NOL9r8vF9PZtZelyTcisp0IfUCbN3sH6u5i7E3aq8H5+REnzOtaTvm02HKfK+9b9l++saCdLB78nNv0jdE+7yP0y6ymJti8TGvP+Ky/G0669LLUxWXZsQRPex0y+PvsO60sjq+d3bCp03Xp7kw6yZFVU0fa+0A+cnT3/POttqhxvbm3Ge/yAlz49O8rSK5X+C0Y2591Pee2RfazvVfP4Vyb0Um/jZ006ydJ3Lc0d8S14X/OsVdf1rC/V69bKSY13+3VqXj9Yt5kYukOjJe8BCQZPnTvLUnLg/NococdnLp74hHVPRfjC9eq8aze6nTehiyz1c9fONmrFe/tblnPSWZ/eU6PDJ6HPmP6tbkBXWeqh4bAgWoP3BbXnE46zHjX6d5x1a963a0R4tO/G7vuFkteqmrynvT48MoT1HSuGtLgm9ITz+e0bWP+7+eGAlW14z33cRWVVd1lqVJIxSVeLd73IPQ2fWD90+Y/TS6HHTdZv7tRDloLfb1qwuy3v+cM+aN9nfcpaG+fx7Xj/ePrWFLOesmTit9SuRuhfv9/depV17+o86Xx73ndO+5XXt5fMjvCVPRZ04H1Yp/G9jrCuN3tmdfuOvKtHpgZpacvS/Wmbb+UL/UM7u9rtrHe+9ynIvxPvk9+221zHevv7wWOHduY9aESDppeOLB1zWVzxTej7vNSTPrE+d7vfgcNdeNd5PN7VSVeW0szuGdt25f1Y3DG9B6yXHpic27Qb732N9H+P15Olf0ENVhlCP3j9SVEq6xfafSjw7M77qoNns/r3lqUTFtXj9HrwrtT4zI3jrI/qNOz8S6GPnPYwr4O+LMXuPdpqd0/eC6/1/LyL9Zwrgxeb9RLW597o1o0MZGnlph9XqoVu20Wa7MO6flX+n7PavBvHqu37zvqE9oWD5uvwPnGeSqlLH7bvfSpz0dLl/XG83oznrNctNAq+I/Scq6vuTu3LzovwXfEb9Hi/+7LEKpv1ZitUU4x68y7Z7lYM78fu77/9mR+EPmrJ3KDzrO8bPvrGQX3eQ+Y6jtQxZNdHt+byFAPez/lsro1kfcnN27HUh/dn/x4XtOrP/o7ayU1XhF7d1/Z8IOu1qvvt3foKz9EUpdh/rJ88t1u7Sz/erY++ivEcwPaThn2f7gv9u4fizGfWP9ceOxxgyPv4nx3uzDGSJf/jV62G9Rfu16oNvx6zvrziQeU3oV8xVjeaNFCWzn8oDY0dwPurVYXrMllvtr5Zj+lGvD9dnVE0dJAsaV3SOak6kPfKda9GJ7DeN2iUTqrQjW7pJ2sby9K6aqsDHoOE7xkePzqK9aoGR+phLKxb3elFGoNlyemQ07zHQp9yvf+6INaH5ttc2TZYWD8xJgPqWX+5fWTDiCHC9a/3qfQeIktu99uYfhe6t+7n3BLW70a/WnNkKO+1VttOuwxl59rX3cdnDBP21TT76Besn7jSP7fxcN67xs+MsR4mS+XVSW9Thd7Daue526yfPK/93WME7/LPirwxw2Xp3OPVFd1H8v7mQfDfJNZPO58peST0Ubq2ww1HyFKHGTdeBZrwXtzPJjCOdZNjl24OH8X7PB3/4s4jZanXxC2HSoSuNOHDlL2sHx3bb0XsaN6zH6+73dxEllwCzw+1GSOcU43Mbbawfr9lk1+NJOF3aZp9q2Fdr8j4ZLLQR5isDvccJUseDwdZLzHlfXnqq4lfWV9er1TWeazw3N1eo+E8WpYKZxwOKBS6Itbi03PWf9xtqu4/Tvj8usl51mNkSdlxVKixGe/l4YE37rDerGaYyiehW/SqyjKVZKngaM2Kg+N5H+cc9SSFdXnSpoeTzHmP2b662shUluJKcvXrhJ7xYJv+adbN1xeuTrTg/aZnoVvPsWyeKd+b4mzJ+/rjU1IiWb82rm1Fmwm8exxSaq85TpaKF1t3zxV6fsT3rTtYD7Q3M/OZKMxFuRrKjcxk6Y5K6ew+k4R1vmBp6HrWo9wmeLwWuv7xOoNfrKeutfcMncz7ovTbRR7jZelUby0P0ym8H/1wN/Qj6xnLNs3+KXRzG5WZc83Z+SVFjIubKnz/YWuNnrEes8e+m72VcP7m9epgbSFLTR2ulzWZxvtAsyat7rL+bFtecqrQtzzUaTvOUpYctTasWmrNe9aZ9X2usX68skC3qw3v25TVpg2eIEtHOtwoKBR6Z7WnWxJYr1kzdenm6bxv/vsiR2+iLA1UXls/cIYw51CHDkdYD04YEaQQem/rPb4dJ8lSR4+9qvttheers9m3cNYzjbb4WtjxPnO/kbvaZFky+NFIUS101R8zawJZz49oN+60Pe9tHNIPNLD+rUtKxCwH3ucrOZn7TpGl/V6f3reYybtv1yHKlayfCj7cI0PoR19NKvSYys7ZGcV2yx15z1sac/oT665Zpzd3n8V7dJ3BvvlWsnQ79/eRB0JfnFm56yXrVTa5yf5OvA9X1ETYTpOlLNt2WYNmC+fmvlGJhaw/v/EhSyH0gEbpTydYs+clYEDqvjm8B87xaZnN+oI9v+LM5wrP1wPPGaNt2Lp6OnDbb6FP2nHq1FXWo8d/nH1yHu83rnZpOWi6LO3MUzOYOV/YJwMLN59j3WHWiW9NnYX9p+f1Rr1nsHP/feLRVKG3Ty7Zf5R1gym9rdxdeF+x0mFYF1u2b+xqXt5pAe+f1it9iWB9eZhDUJ7QnzX6drK1Hbv+lmpaGxYK84lx67U7WTeL1Yvot4j3P4PX2jWxZ3PalriWb4RuZdzFbAvruxUB63a5CvdlJpnWsZ6bkPV69GLeWxdqT/FxYHNC4dzBP4R+J2Pb4krWXQbb+8e68X7N2iB8+Uz2+Xsnsq2WCJ9PbJH/lfUDm6z+1Qt9c6P+bRc5sn1+zGT9RHfee3rvWfae9SZVUZPmLRXWlYHxE6dZsrQ21MSllQfvuye3m/KM9U7VfVbcELqV0shH053Yuuq02HPFMt5fesYuLmS98cfvbt2XC/t/tpnapNnsfW1sht19oed17ZOZw/rdTo+HbVohzMPxNgFj58jShtmGrQas5L2ff5pdButGFXdfvRX6qycLh42YK0sbs08cCvXkveCOtX4S6/czbtqO8RLu+8aN+gPnyZL9vQ5KP4Tu0+XHsATWWz4+fezQKmHfyDlsbzCf7ds3vUZM9ea9Knbv1njWu232zKkV+ri8uzd7OrPrWX3c4txq3psuH6cey7py66YZTmuE5/RM3ZJOLuy5TorWb7GW95XH/hVFsB5aODs4Tej1PqOmtVnAnnezie+W+PD+flrm892sL6if26ejL++3JgR5qi2UJbVP0e53hK4aGNYxmPVKue7w2nW8n9d990B1EZs/X2+5p7ee9w2TVx7Ywvq2a/rfngj9WTvzZQ2sD3f9Xr91A+/PT86ZvsGVPb+3CpsO9uPdsluaRQ3rG9PvNVEIPTpy1qQ1i2Xp65B3/8I28l4zXJpTybpm++YfTTfxPrSz26aVbrK02GJidpnQi+Y+ufCd9V5noiJiN/PeuFdQhfsSdu7r186d6s/72S1+Y7+wfvrE0i61QreLTTmyyJ3NLc0/F57ZwvuY8OGtFKxvG+mxxjGAd9v1dTvnL2X7fKcazaZbeR+0pkmnt0v/s3+GxCULvcdh+2QnD1natbln30WBvLfVLHF+wXre/ZQTbbbxnvztVheHZbIU7jKtfZbQZ47/8KmI9e5dFRtWBglz74iJmdOXy9IWheezbtt5n/6p8tQD1g9E1ugVCP3qgg9HrFbIUnNtn6Xrg4V9OL/TqXzWpy4oiTPYIewPIw5cn7SSzcOjbR4/E7p2juOHO6z333/yd2AI7822u3S09JSl9Cml6oN38t4o+uKcHNabWXbtIgt9WzvLi2ZesrTddXi3Pbt4P6eprZXF+rZdJm3HhPJudtJ8m+kq9jzG6iiVCj235HyTG6wbr6sojtzNu2P13IOjvWXJp9GRq5Z7hPXz3m54OuuenftvqRJ60vW9n0euZu+/xyPHHg/jvf/JDidSWd+94X2VdTjvnS58WDV8Dfu9QXS4XuiNyqqtr7J+Mb561Lm9vHf3nT566FpZ+p2cfd9xn7CuFvwansR6cbSLQ5P9vBtlvTEb7MPu4+BHj68IvfK0+tzLrDd31jB3iRCuZ/+goEG+7P2aOp9tdYB3/wWWmRdZr68sU80Quv7saU0HrpMl94677NwP8r6s7+F5F1hfZl0e2T6S91LF0NwB62VJxaf941tCrzjQblQi6z+Xk5JXFO9ejmNu9t8gS0VtTmt3j+Zda+R5u/Osq5m3MskXuu5k1xpDP/Z+8d7I0jdGOC8OuZ5LYL1rTosJeoeE525c4nLDjbJ07/6h0Y+F3m+iqWkC66vefui9OZb38KyOPQ03yVJQ4dvGhod5V79u0jqB9fF+wS9fCP3fpBMahptl6dJt+di2I8Ic6OPYPYH1hB1f5hkfFa6Prd1oQ39Zen3sYOv3Qq//EemewPrV0vKrO4/xfsi290nDLbIUML5s+ojjwry9t+5nAut228Lkj0JvkdrFqn+ALLUJfeIaHifM/4+2ppxnfemw1Hdj4nn/VjJk0ICtbF3NGTm1ROizNY2uJbKe+do+8cAJYZ+0WTXDKJA917vVGo8/yfvepIa/F1hvZ+1oUy5034lPLg7cxub2vyPDYk4Jc1qHX2svsd7aLTFnwmnejQ1nTzUOYvuA95Ufv4TeL7zloCusT/5jqXb0jPB3bJrqDdnO9snCxd2mnuU9zXuKQTLr1g9b69YI3Uf1pcmwYFnyemHWI/4c7+lqF+eksB6V+a+VTYJwTu19GDpihyz9nTfsV63QA46a3E9j/eCeX/mnzvO+XSrrNipEliz6DoyyTeS9zepSvwzWzzYtcaILwnqbaFw6ZqcsDVHqoXlO6J1uZS/JZL3394J0h4u8e5Qc+j12lyzti/vp1OiS8Lzn3AzPZn1WQ0jZeaHfchwwxjyUzclPDqyddZn3I+c+/cllPaCuzS/VK7z/zP6cNWG3LF2eVr/wotAL4wbF3GP9xTHbe7OThPlnxu2tU/bIkqJAS6dpMu/3n8RvKGQ99OQor8tCX9m/MMA6jJ3Xje9dmXuV9whn06hHrN/LTCtplsL7aa/aG7bhsvTxnFr7JKGnL1Suesr6pSMZQ+en8h48cvoIx71sH/PMm9QiTbjvv0t2vmJ9wW/jGclCPxB1v2zOPnauNaqa5nyN96P6dc7vWf+1TG2sWrow/x/1Vrjsl6UlLXz0rgr9TJOh3h9Z33JhCLlkCPvkrLFabhHsPXGgWaHadeHvR0Vkf2O988LYPVeFbn1nyJZlB2TJubO5pcsN3g0V3azLWX/Sd8hPtUzhun2zMVx1kP2uJR5hV4W++01hx9+sZ538ouNyk/fbafvb+kay75l28pxaFu8HN5/oUcv6H++T+leFrmyoZLIpSpamnfl40Dmb90sZ8QuVo9m5bDi/rsUt4foM2HcokPUlD7Xsk4VetDn/Y9MY9t7npnR8fg7vJeesRu9k3TlH+0PzXN5DLnSKa3WIneNpvh2ThH4uyKjTXtafdlAym3eb9++Gew63i5WleZevzm92h/fI2BGDo1hf6hTtdVnoR4r6Pe96WJbWyKd95tzlPebekpCjrOd1LPZqco/3h+vKp+oekaWQR2OcLwrd4F1m99Osn3iTaeaUJ8xLFS/J8Cj7ni0WdVLN533UmTEVF1hPNDT4eF7o7RqVlg8+Jkt72rSIm1kgzJ+/5IYU1k/vauqgXCjsh2u0u40+LksNS7vXnxX6+s0Jk2+y7rxxaqTdfWEfaO6/3TxOlrz37dFvEPpQtdiiu6yf8ft09tQD3uPWqxhZxcvSxGZTtac/5H3XtCtRj1h3a5wV+k/obTcmaDmckKUvZmY/4h7x3ryu7NAr1rfvKRxr9Zj3dzfXD51/kr1PpTkHVwv9wk3rtx9Ybxr299aRIt7HVSzfv+SULHkUR/ya+IT3hvFPnX6w/tN3cIdKof+7sG3gqtPse+o/HBDzlPcy/c3t/vynp7mbmD/jXTqS1dzvDFs/dfUjfwj9ZzMrdeWzbN6+HtL/wHPhfJnZq2cQ62p56u1MXwjn+0bJTO0cm+vKAiu+CH3H8njvMNYH1/zIDHsprJOOtkntEtj79RXLrSNfCef1ysmqMawnl+4yUQj92MKQhT3Py9KgFTc+hbwW1v+nNo9PsB7Y5GXg4De8L/r8wbpfoiyt9n/V4Y3Qf9vVv7nIevypm4cD3wrrqtf8dcMuyNK6CTs69X8nXB+T5noZrA/pZxz8VOgt99S+H3eR3fduaSUb3/PevtWws3dYX1HSZVzvYuE6nEjdanVJljbNdtx5X+jG47cuK2L98Khl99bKvO98ErFo1mVZ6mlvX9tdwftFywqP96wPWKXZ647QXYP2BrhekaWbcw6brPwgrE9/v9OlrB9793dCh4/CudYj8a1XEvueWb0mZQp9wnR97RrWo+9rSW6feH9LX9dsSpYllweFvTU+876vfcUL1auy9HyXlUqK0Nv4m07ZyfrbB2FF877wfqL3swLNFHYfXSIONvnK+/iqK3MjWbdrPss6UehBj1/Ud09l9yvs5T/7b7yfP2t+/gTr0zLbRtcL/YjrHw/DNDb/zG3W/0QJ759KK0ZeYX2d8eUrU0uF66k3qIPJNTbPN2k9oEroz/+lqGSxfuxoj0Mx34U+YxtNTJeluXff1Zv94P1B26gWD1jPMJ9iWyL0IP1fug4Z7Pu/WXAovIz3pV77pr1l/ZWDzssR5cI5/mLd9kXXZen7upDmxUKPMjv5oJT10S0P9N9eIZw7+zvqe9+QJXoy3mLAT97jkx6G/mPd9GC4zVOhmwfdVwnIZPtzl43WfpW865Rp7mh+k73f6aua6fzivf/D6G7hN//znq5rkCf0vxruWR2zZGnjt9fKXlW83wzzW32U9SV9DR50+M37vKFPhxlks/mwadOwG0K3L17V7CLrb8zXmrtWC3OUt/234bfYeXTK+7vaH973P/J7mcl6QFXd9stCb/v664sJOew9pVyjw6wa3hd7RX15wLrunLNR9Jf3sWt2N3bMlSV1ytM4KfRGd+4YF7OeFrNs3dR/wvlrabFyyW22L/3e86xS6HJRk/QK1hc9HKQfVSvst1Yt26+7I0s1ZdYepnXC9dln7698V5bWt/16/JPQv25V/N3B+i2VmsKd9bzH1l0OaHOP/d7NG78PauA95fXtzjGsD5u8tuG50JMbumXr5LH3/d7FKpuo9H97qlmqbwLrx56m1uko8b4tMEIami9Lvp0bvt4TetDRZK0brIdcPX93pTLvt1d1rLEsYO8RHrkx7Ozm++qz66UPWD/9z2xButCXnD5R5ljI3jf1dLu6qPDeLvuBkoL1nwmL7zVR5f1Awyhtj/uy1GJGs6UJQu8zomRGFetBT5s0TG/M+8WJr/ZufCBLtX/mb/sj9uYtFU0esvfldZpKsU14n2a3eWwY66ZdOq0wa8q7g/KQxE6PZGn+odUPvgh96Lc+/eJYb329l25oM94bPjinGD6WpZZjui8zbs67y70XM66yXvza7dRzoad6htebFsnSV8e6p34teP97MSTlHutO3i//9FLjPds5x9/2CfueJXUt7wjd1kGa9Zb1FX6L2i1ryfsut5qxbk9l6dBXdU1Ndd4r3CuH/2Td8kc1XRX6aWNDacMz9nxN7KZwasX7xgMnbBs/lyWrtE0ppMH7C/d5vntYf1LX0T9e6Pf8HRI6vWDvuY++jZrUmnelC6Hlcay3qCor+SH0h3dUzAa8lKXX2r1D92rybng4NS6V9T+dQ7WHt+E9QTWh7fhXbP1H9Tr3Wug7Ct/uL2R99Wy5t78W74fzrHQdX8tSTLe8CN22wjosrM1WsB516OWfu0JvfOqL5/I37D1uv7rV8na8jzDQHFDDem72wgjN9rw79/L9F/CW7f+Klw+ThR64oOsz9Xfs+bqwnJw68D4pvf5mJOszP3ft1SD06n9d0nXey1JXs09Dj3fkfU3F2pxE1hduyhlj2Yn36UtbvR1ZzH6vQ+qIEqEnD1Oo5rLuuu1G792deV+pUznKRpalfrefNDXuwvuP+jEBr1nfXlTz+qnQx+3Lfb5YIUsdlhjErevKe5eLwaMrWTeXXOZ268Z7Yc/tFzd+kCWH1sdaZAl96qWbg5t/ZN8/8tPZRd15799/6O39rM8KM5Sa9eA9bv5Ht56fZOnvJe+cc0IP1rrfMYH191dTx1j35N1Gq/LF8M9snnf8e6ZS6O372Jy+xXqN9eDmB3rxvrf71yDrL+z3OiyaPVKb9+7X01a/Zr2FXsjRN0JPLszxcvvKzpHVx19s1hGeo47NN/1iPa/urIqOLu8t3YKiNn9j87DPsV63hf558+gctRL23MVsNXbX472mb7+Gg6xH9LIe1rK3sG8YzZigW8rWYZZy/wtCf2t76chF1ssGR7WfoS88d/MmNh3zXZbsjbR+VQldr32HTfdY3+KxPPugAe87TbupOvyQpatHTgSa9OF91FGnKAXralvTRr4Vepv6+2NWlsmSZ8FJeXNf3vd0Xv+zlvWzxh5+2v14v58xOym4nM1dy1Rb5Ao99JR3ULsKWXps5BniZsh738NZbsdZ9xmcUN+8P+/HFlo4Gv2UJcf+VxcmCH33tYaZGay7F+3MmDaA94GuPxZPqmRzy+u+zX4K3VlPc9sz1pvXhlnuM+L9UIb75YW/2Hvfl3SfoQN5ryutLqtg/ZDDmZjnQh+9OtVkU5Us1dU5XF43iPekdokRar/Z/rAnO72LMe/zwp5TFOvXb31LuS70x3FD1vWulqWdVnkn5w/m3VIjVzmJ9ZOyS7DyEGHdhgdHjfvDzoUhiXPihN7n26axD1h/8jdBx2Io772enKqeU8PeHz/PfvtZ6P1bq2SUsJ6XkLojeBjvsU5hYb5/ZSlHOcug73DeF3tar27yj80Dkauu5Qtdq9VYt/2sj9DNl5aP4P1puYu7di2b5x3vJrcaybvPo6T1F1lf8sWtx0WhL1kxIkaqY+sw8NSG6Sa8J275nlfAep4iMK9S6FW5D5vPrmfvO0n1avtH8b7598eZ31gfc05j7NDRvA/LM0j2aWDvm+tTFz8Tekx9TK8mpJDaFv3e7DOG90cTpdj9rN9xy93ZUeI9apGGgY6SQlIt0Q1JE/q05hrZl1h3UWuzwcmU97Ky0R5jlRXSuI0h82qF3qYwUucB658qdg45NFb4XU7apXMbKaSFHdrWjx7Hu7v1y6zvrJ851jP1rdA/OF8/tUFFIW0Ye8F1kxnvay3uH2qhqpB846837jFe+F2X1Y5Fsa65aVJkptBN561JMmiskMI22nRzNuf9fF2L5ymsd7J9uF/JQngezQqaTWiikE4l3m44KnSzj6mTnrHebOyg2eMshfkk4mGUa1P2e6+qn5WFPri51t8q1m9lzyrdMoH34srNboHNFNLvNlo9tCfy/ke1wyet5gopwWG4RbbQz/987hXHevnonLkLJvH+cmm2+uAWCunI6pQljSYL96XXs9Rs1j0TWi0+LvR/d9p4z1BTSJV779ibTeH9rLrvaAXroc/eD1cI3TKucbtVLRXSRj37lgFTeb86Ir1OWV0hveqvV9TLSpijNkb+Cmd9b6zVriyhp/aM/durlUJapl0w3GUa770f3W11mXXVpYefKlkL59SYLoPNNBTS017ZrkeFfrDN/sWPWe/zZ8hXUxvedWjwmQWtFVL/g1Vz3gu9/MKff5Wsv0psuLVpOu93Hsmzt2oqJPVSm27dZwjrVvNnvlYbhbSq5uuS60J/0klvSjzr+7bmnJxjy/u5gxtfDtFSSI9GyM9qhf506L+1uawvzBn9N9qOd4Mj0ToObRWS8+Mn6ib2vHfaNO/9Z9bPtzrV9qXQU/0szvq0U0it9S6p+zrwfsncOrBZe4WknVVR034m71M2b1gexfqc3QufJQt96dN7rn07KKQmI5qetHMUzrXykcvTWbdwf+n2S+hFa/K3Tu2okLoXPu+ydxbv3zU2nXnLuksrpeyBTrwbuU5/t6KTQsp9bu30QOjBXS20lTorpAdFOR+Xz+Z9yxvHNeGsf0iY49JyjvCcTtn1XLuLQhqt3u7hWaH7t3o/MYn18sOlAyfN5f14vs09i64K6Yvau61fhB6jLzs+Z72i/tvdbfOE8+72nj9Luimk+O7qSrrzea+0mnPiH+sbO1j0yRa6hbPlgl3dFdKT8D3mzs68Ox6zGtC9h0LKH1YyvUHofZO8ml9kfdWFGdMPufBuN+ryr3E92XMaf9vMZAHvTV+2+lHEulrm+N4vhN7OaPtv114KyerUndo1C3n/9K6zeg3rBY1tbmkt4n3DjnuDQ7TZOgx45XdJ6D4P9rp31VFIq28vMrB25V1j+trERNYv+37P/S70zonejcbpKqS541bahyzmXTUoxLWI9W53S57pu/H+zOfac1c9heSXNGdyrtCNtVVm1bD+7Hz2hQVLeJ+ps+hbSG+F5Da7c1Mld2H9d3ob3E2fnSOLXGxihf796PLhF1m3XRmx02SpsO/NbPfbzIA9XzpJqc+FHvyqKOsp623005+v9uB9eO7p2CV9FNK7nqe/ai7jPfPKvuBa1jun+JYmCn3fuP0Bu/sqpL97+hZPWc57dvOzO3v1U0iB09NvfxX6z5NP4pJYP37M4Mi2FcJ8e0Urf4KhQmrZ29NdeyXvpXcXK79mfVHgHr1MoatuKbRc0V8htV8QWDTbk/e01RNilAew827RVO8aoV8Y/aRhP+sXBn5SjfAS1qGXt5eBkUK66TE1eNAq3hvO6P5KZz342ub6QqEf3/Rlq/VAhZST5bdoqTfvPYLSdT6wrtx73PUmq3nvNvPo47WDFNLVnXlN44T+YntEWAtjhWRwsL256Rre9ROj5x5mfd137VWvhb5h/oWRxoMVUqLRj3Cftby/G1ike5v1w6recVo+wnW+2riH0xCFpKRx+eQFoZdvszQoY92l8lTMFF/eEwZFjA0YqpAGzZgR8EXo+61+urUfxr7/o0SnreuEzy9zOnyWdY226bo91guf7/XwgzRcIY3JWF18TeibGqaPKGK93fKXoQ4bhPk54n2M2wiFNO3eZ8NKoQ/28W1Vx/pa7+jroX68LxraNSxspEL6o15p2mejMJc65/XUM2HrYVTplRyhuwcH3Exj/d+hrZ2cNwnrfIz5ymmjFNKhp6metULv30qj/wfWnwUFpx3YLJzvIYq/PqMV0rwZFb8G+Qvn4NgbT1uOUUjZL3/0KBR62vVjN4+x7nVj05glW4R9NWzXtWGSQrp07OhUlQDh907YdCuf9ZO6060OC33a8rWvnU0V0oyvoaYjtwr7yZ7VjapZ3xNqp/NE6F9NfEfsHMvm2OTjNSsChev8z39jz3HsetLazObbeO81a/ejZNb7qBf4xAt9k+LIkClmbH/edLyXaRDvD3omnyxm3e9XdcZLofc9XKi/drxCmt7yzqTV23k3+fg1Rc1cIeUtaX23VbBwPf2azDzG+pnTD4efEbpeuV7j4RYKKcijcdT4HbxPzrXMLmD9hU1C6Vuh3wxasnuBpUL6+SfbyDdEmJfSQ9xrWFdRmuDaZifvV74l2O6ewNZJs2G7EoQ+JOr+VN2JbH1eCI233CXcX5tyu2us39o3JbFY6Ob7Wy2zmaSQbtstP7M+lPf5pf32fmY9Mqwiou1u3ne9srzjN1khHfz02DtR7J/nqWlNUUi1PzXHT9wjfM993vPOsP7a9pyKQugVroE3TacqJL0zh5I3hPF+uzhs0DPWL+z54NgunHeb7ZGXllkppJ4nNv5IFPqYN9FjVaaxeXL7Eu+Je4X5zeXguyjWbz4+ViIL/VdU6M6B1gopRk/fdsM+3tWabJxwh/XkrtUJbfcL85u+a5t5NmxutG9Zc17oXzZafK9ifZOH25AJEcJ6C+n2dOd0hZRVp7qgWOhpBd8LtGew+fyEwn/dAd7/3rpclMZ6rXJDWJuDvA8tX/HNxlYhXUu023tO6P8Kerb6yvqrCR8DzSOF/eH1nXGb7RSSq/vZJW+FPjpyYWB7e4U09UL8mLVRwrnm/+vpedZtkx+qaETz/kbTZ5iFg0LS6WCYfkroje/+OPGG9fGeSQvHxvA+qcdM3dUz2fk7x63+hdCt912+pOaokB6vMQv2OsS71RGaFsf6Ecfxqi1ihTnkxpi/JrMUks8RN6/jQv/tvuzKY9YnfUp4YHJY+L3ddvotdVJIK3Ja9ygS+hvrKLtGsxXS9xdh8z2OCPcl4MCoaNafpPQNVznKe61GwCDjOez51XhzJUbozy20Qg6ynq7r3F75mLDO97wYkce65wq93MFCV+k+Or9hk/Lm/72vm5SpjpT/e88alEkLvWPrxLk2LYpa36gnjQClXuWTOvm2r2X/eQ4+q9Hof/4g+3cjDfo//yqX/m9Bv/F/i+r//rNupv8/bv4fV4KDpAwHqREcJBU4SKpwkBrDQWoCB6kpHKRmcJCaw0FqAQdJDQ5SSzhI6nCQWsFB0oCD1BoOkiYcpDZwkLTgILWFg9QODlJ7OEgd4CB1hIPUCQ5SZzhIXeAgdYWD1A0OUnc4SD3gIPWEg9QLDpI2HCQdOEi6cJD04CD1hoOkDwfJAA5SHzhIfeEg9YODZAgHqT8cpAFwkIzgIA2EgzQIDpIxHKTBcJCGwEEaCgdpGByk4XCQRsBBGgkHyQQO0ig4SKPhII2BgyTBQTKFgzQWDtI4OEhmcJDGw0Eyh4NkAQfJEg7SBDhIE+EgTYKDNBkO0hQ4SFPhIFnBQZoGB8kaDpINHKTpcJBmwEGyhYNkBwfJHg6SAxykmXCQHOEgzYKD5AQHaTYcpDlwkObCQZoHB2k+HCRnOEgucJAWwEFaCAdpERwkVzhIi+EgucFBWgIHyR0O0lI4SB5wkJbBQVoOB2kFHKSVcJA84SB5wUFaBQfJGw7SajhIa+AgrYWD5AMHyRcO0jo4SOvhIG2Ag+QHB2kjHKRNcJBd+P86SP5wkLbAQQqAg7QVDlIgHKRtcJCC4CBth4MUDAdpBxykEDhIO+Eg7YKDFAoHaTccpD1wkMLgIIXDQdoLB2kfHKT9cJAi4CAdgIN0EA5SJBykKDhI0XCQYuAgHYKDFAsH6TAcpCNwkI7CQToGB+k4HKQ4OEjxcJBOwEE6CQfpFByk03CQzsBBOgsH6RwcpAQ4SOfhICXCQboAB+kiHKRLcJAuw0G6AgcpCQ5SMhykq3CQUuAgpcJBSoODdA0OUjocpAw4SNfhIN2Ag5QJB+kmHKQsOEjZcJBuwUHKgYOUCwfpNhykO3CQ7sJBugcHKQ8OUj4cpAI4SIVwkO7DQXoAB+khHKRHcJAew0EqgoP0BA7SUzhIz+AgPYeD9AIO0ks4SK/gIL2Gg/QGDtJbOEjv4CC9h4NUDAdJhoOkgIP0AQ7SRzhIn+AgfYaD9AUO0lc4SN/gIJXAQSqFg/QdDtIPOEhlcJDK4SBVwEH6CQepEg7SLzhIVXCQfsNBqoaD9AcOUg0cpL9wkP7BQaqFg1QHB6keDlIDHGQD138dJCU4SMpwkBrBQVKBg6QKB6kxHKQmcJCawkFqBgepORykFnCQ1OAgtYSDpA4HqRUcJA04SK3hIGnCQWoDB0kLDlJbOEjt4CC1h4PUAQ5SRzhIneAgdYaD1AUOUlc4SN3gIHWHg9QDDlJPOEi94CBpw0HSgYOkCwdJDw5SbzhI+nCQDOAg9YGD1BcOUj84SIZwkPrDQRoAB8kIDtJAOEiD4CAZw0EaDAdpCBykoXCQhsFBGg4HaQQcpJFwkEzgII2CgzQaDtIYOEgSHCRTOEhj4SCNg4NkBgdpPBwkczhIFnCQLOEgTYCDNBEO0iQ4SJPhIE2BgzQVDpIVHKRpcJCs4SDZwEGaDgdpBhwkWzhIdnCQ7OEgOcBBmgkHyREO0iw4SE5wkGbDQZoDB2kuHKR5cJDmw0FyhoPkAgdpARykhXCQFsFBcoWDtBgOkhscpCVwkNzhIC2Fg+QBB2kZHKTlcJBWwEFaCQfJEw6SFxykVXCQvOEgrYaDtAYO0lo4SD5wkHzhIK2Dg7QeDtIGOEh+cJA2wkHaBAfZhf6vg+QPB2kLHKQAOEhb4SAFwkHaBgcpCA7SdjhIwXCQdsBBCoGDtBMO0i44SKFwkHbDQdoDBykMDlI4HKS9cJD2wUHaDwcpAg7SAThIB+EgRcJBioKDFA0HKQYO0iE4SLFwkA7DQToCB+koHKRjcJCOw0GKg4MUDwfpBBykk3CQTsFBOg0H6QwcpLNwkM7BQUqAg3QeDlIiHKQLcJAuwkG6BAfpMhykK3CQkuAgJcNBugoHKQUOUiocpDQ4SNfgIKXDQcqAg3QdDtINOEiZcJBuwkHKgoOUDQfpFhykHDhIuXCQbsNBugMH6S4cpHtwkPLgIOXDQSqAg1QIB+k+HKQHcJAewkF6BAfpMRykIjhIT+AgPYWD9AwO0nM4SC/gIL2Eg/QKDtJrOEhv4CC9hYP0Dg7SezhIxXCQZDhICjhIH+AgfYSD9AkO0mc4SF/gIH2Fg/QNDlIJHKRSOEjf4SD9gINUBgepHA5SBRykn3CQKuEg/YKDVAUH6TccpGo4SH/gINXAQfoLB+kfHKRaOEh1cJDq4SA1wEE2YP3XQVKCg6QMB6kRHCQVOEiqcJAaw0FqAgepKRykZnCQmsNBagEHSQ0OUks4SOpwkFrBQdKAg9QaDpImHKQ2cJC04CC1hYPUDg5SezhIHeAgdYSD1AkOUmc4SF3gIHWFg9QNDlJ3OEg94CD1hIPUCw6SNhwkHThIunCQ9OAg9YaDpA8HyQAOUh84SH3hIPWDg2QIB6k/HKQBcJCM4CANhIM0CA6SMRykwXCQhsBBGgoHaRgcpOFwkEbAQRoJB8kEDtIoOEij4SCNgYMkwUEyhYM0Fg7SODhIZnCQxsNBMoeDZAEHyRIO0gQ4SBPhIE2CgzQZDtIUOEhT4SBZwUGaBgfJGg6SDRyk6XCQZsBBsoWDZAcHyR4OkgMcpJlwkBzhIM2Cg+QEB2k2HKQ5cJDmwkGaBwdpPhwkZzhILnCQFsBBWggHaREcJFc4SIvhILnBQVoCB8kdDtJSOEgecJCWwUFaDgdpBRyklXCQPOEgecFBWgUHyRsO0mo4SGvgIK2Fg+QDB8kXDtI6OEjr4SBtgIPkBwdpIxykTXCQXdj/Okj+cJC2wEEKgIO0FQ5SIBykbXCQguAgbYeDFAwHaQccpBA4SDvhIO2CgxQKB2k3HKQ9cJDC4CCFw0HaCwdpHxyk/XCQIuAgHYCDdBAOUiQcpCg4SNFwkGLgIB2CgxQLB+kwHKQjcJCOwkE6BgfpOBykODhI8XCQTsBBOgkH6RQcpNNwkM7AQToLB+kcHKQEOEjn4SAlwkG6AAfpIhykS3CQLsNBugIHKQkOUjIcpKtwkFLgIKXCQUqDg3QNDlI6HKQMOEjX4SDdgIOUCQfpJhykLDhI2XCQbsFByoGDlAsH6TYcpDtwkO7CQboHBykPDlI+HKQCOEiFcJDuw0F6AAfpIRykR3CQHsNBKoKD9AQO0lM4SM/gID2Hg/QCDtJLOEiv4CC9hoP0Bg7SWzhI7+AgvYeDVAwHSYaDpICD9AEO0kc4SJ/gIH2Gg/QFDtJXOEjf4CCVwEEqhYP0HQ7SDzhIZXCQyuEgVcBB+gkHqRIO0i84SFVwkH7DQaqGg/QHDlINHKS/cJD+wUGqhYNUBwepHg5SAxxkA9V/HSQlOEjKcJAawUFSgYOkCgepMRykJnCQmsJBagYHqTkcpBZwkNTgILWEg6QOB6kVHCQNOEit4SBpwkFqAwdJCw5SWzhI7eAgtYeD1AEOUkc4SJ3gIHWGg9QFDlJXOEjd4CB1h4PUAw5STzhIveAgacNB0oGDpAsHSQ8OUm84SPpwkAzgIPWBg9QXDlI/OEiGcJD6w0EaAAfJCA7SQDhIg+AgGcNBGgwHaQgcpKFwkIbBQRoOB2kEHKSRcJBM4CCNgoM0Gg7SGDhIEhwkUzhIY+EgjYODZAYHaTwcJHM4SBZwkCzhIE2AgzQRDtIkOEiT4SBNgYM0FQ6SFRykaXCQrOEg2cBBmg4HaQYcJFs4SHZwkOzhIDnAQZoJB8kRDtIsOEhOcJBmw0GaAwdpLhykeXCQ5sNBcoaD5AIHaQEcpIVwkBbBQXKFg7QYDpIbHKQlcJDc4SAthYPkAQdpGRyk5XCQVsBBWgkHyRMOkhccpFVwkLzhIK2Gg7QGDtJaOEg+cJB84SCtg4O0Hg7SBjhIfnCQNsJB2gQH2YX8r4PkDwdpCxykADhIW+EgBcJB2gYHKQgO0nY4SMFwkHbAQQqBg7QTDtIuOEihcJB2w0HaAwcpDA5SOBykvXCQ9sFB2g8HKQIO0gE4SAfhIEXCQYqCgxQNBykGDtIhOEixcJAOw0E6AgfpKBykY3CQjsNBioODFA8H6QQcpJNwkE7BQToNB+kMHKSzcJDOwUFKgIN0Hg5SIhykC3CQLsJBugQH6TIcpCtwkJLgICXDQboKBykFDlIqHKQ0OEjX4CClw0HKgIN0HQ7SDThImXCQbsJByoKDlA0H6RYcpBw4SLlwkG7DQboDB+kuHKR7cJDy4CDlw0EqgINUCAfpPhykB3CQHsJBegQH6TEcpCI4SE/gID2Fg/QMDtJzOEgv4CC9hIP0Cg7SazhIb+AgvYWD9A4O0ns4SMVwkGQ4SAo4SB/gIH2Eg/QJDtJnOEhf4CB9hYP0DQ5SCRykUjhI3+Eg/YCDVAYHqRwOUgUcpJ9wkCrhIP2Cg1QFB+k3HKRqOEh/4CDVwEH6CwfpHxykWjhIdXCQ6uEgNcBBNkD910FSgoOkDAepERwkFThIqnCQGsNBagIHqSkcpGZwkJrDQWoBB0kNDlJLOEjqcJBawUHSgIPUGg6SJhykNnCQtOAgtYWD1A4OUns4SB3gIHWEg9QJDlJnOEhd4CB1hYPUDQ5SdzhIPeAg9YSD1AsOkjYcJB04SLpwkPTgIPWGg6QPB8kADlIfOEh94SD1g4NkCAepPxykAXCQjOAgDYSDNAgOkjEcpMFwkIbAQRoKB2kYHKThcJBGwEEaCQfJBA7SKDhIo+EgjYGDJMFBMoWDNBYO0jg4SGZwkMbDQTKHg2QBB8kSDtIEOEgT4SBNgoM0GQ7SFDhIU+EgWcFBmgYHyRoOkg0cpOlwkGbAQbKFg2QHB8keDpIDHKSZcJAc4SDNgoPkBAdpNhykOXCQ5sJBmgcHaT4cJGc4SC5wkBbAQVoIB2kRHCRXOEiL4SC5wUFaAgfJHQ7SUjhIHnCQlsFBWg4HaQUcpJVwkDzhIHnBQVoFB8kbDtJqOEhr4CCthYPkAwfJFw7SOjhI6+EgbYCD5AcHaSMcpE1wkF24/zpI/nCQtsBBCoCDtBUOUiAcpG1wkILgIG2HgxQMB2kHHKQQOEg74SDtgoMUCgdpNxykPXCQwuAghcNB2gsHaR8cpP1wkCLgIB2Ag3QQDlIkHKQoOEjRcJBi4CAdgoMUCwfpMBykI3CQjsJBOgYH6TgcpDg4SPFwkE7AQToJB+kUHKTTcJDOwEE6CwfpHBykBDhI5+EgJcJBugAH6SIcpEtwkC7DQboCBykJDlIyHKSrcJBS4CClwkFKg4N0DQ5SOhykDDhI1+Eg3YCDlAkH6SYcpCw4SNlwkG7BQcqBg5QLB+k2HKQ7cJDuwkG6BwcpDw5SPhykAjhIhXCQ7sNBegAH6SEcpEdwkB7DQSqCg/QEDtJTOEjP4CA9h4P0Ag7SSzhIr+AgvYaD9AYO0ls4SO/gIL2Hg1QMB0mGg6SAg/QBDtJHOEif4CB9hoP0BQ7SVzhI3+AglcBBKoWD9B0O0g84SGVwkMrhIFXAQfoJB6kSDtIvOEhVcJB+w0GqhoP0Bw5SDRykv3CQ/sFBqoWDVAcHqR4OUgP8/5Fd51E5tf3//9+VIaJE5sxTiSiFKAdFmSWziKgoigzJVMpccplDZEqaNJhL5iKUyNBIOPcuhEpFZPgdn3W/1ncfa/3uf57r9VjXuu6u89zn3sdG+YHpfxslNWyU1LFR0sBGqR42SvWxUWqAjVJDbJQ0sVFqhI1SY2yUtLBRaoKNUlNslLSxUdLBRqkZNkq62Cg1x0apBTZKetgotcRGqRU2Sq2xUWqDjVJbbJTaYaPUHhslfWyUOmCj1BEbpU7YKHXGRqkLNkpdsVHqho1Sd2yUemCj1BMbpV7YKBlgo2SIjVJvbJSMsFHqg41SX2yUjLFR6oeNUn9slEywUTLFRmkANkpm2CiZY6M0EBulQdgoDcZGyQIbpSHYKA3FRskSGyUrbJSGYaPEsFEajo3SCGyUrLFRssFGaSQ2SqOwUbLFRskOG6XR2CiNwUZpLDZK47BRGo+N0gRslCZiozQJGyV7bJQmY6PkgI3SFGyUpmKjNA0bpenYKM3ARmkmNkqzsFGajY2SIzZKc7BRmouNkhM2SvOwUZqPjZIzNkoLsFFaiI2SCzZKrtgouWGjtAgbpcXYKLljo+SBjdISbJSWYqPkiY2SFzZKy7BRWo6Nkjc2SiuwUVqJjdIqbJRWY6Pkg43SGmyUfLFRWouN0jpslNZjo7QBG6WN2Cj5YaPkj43yD+p/G6UAbJQCsVHajI3SFmyUtmKjtA0bpe3YKO3ARmknNkpB2CgFY6O0CxulEGyUdmOj9B82SnuwUdqLjdI+bJT2Y6N0ABulg9goHcJGKRQbpcPYKB3BRukoNkph2Cgdw0bpODZK4dgoncBG6SQ2SqewUTqNjdIZbJQisFE6i41SJDZK57BRisJGKRobpRhslGKxUYrDRuk8Nkrx2CglYKOUiI1SEjZKF7BRuoiN0iVslC5jo3QFG6Wr2Chdw0YpGRulFGyUrmOjlIqN0g1slG5io3QLG6Xb2CjdwUbpLjZK97BRSsNGKR0bpfvYKD3ARikDG6WH2Cg9wkbpMTZKmdgoZWGj9AQbpWxslJ5io/QMG6UcbJSeY6P0Ahull9govcJGKRcbpTxslPKxUSrARqkQG6UibJReY6P0BhulYmyU3mKj9A4bpffYKKmwUZKwUZKxUSrBRqkUG6UP2Ch9xEbpEzZKZdgofcZG6Qs2Sl+xUSrHRqkCG6VKbJS+YaNUhY1SNTZKNdgofcdG6Qc2SrXYKP3ERukXNkp12Cj9xkbpDzZKf7FR+oeN8gPS/zZKatgoqWOjpIGNUj1slOpjo9QAG6WG2ChpYqPUCBulxtgoaWGj1AQbpabYKGljo6SDjVIzbJR0sVFqjo1SC2yU9LBRaomNUitslFpjo9QGG6W22Ci1w0apPTZK+tgodcBGqSM2Sp2wUeqMjVIXbJS6YqPUDRul7tgo9cBGqSc2Sr2wUTLARskQG6Xe2CgZYaPUBxulvtgoGWOj1A8bpf7YKJlgo2SKjdIAbJTMsFEyx0ZpIDZKg7BRGoyNkgU2SkOwURqKjZIlNkpW2CgNw0aJYaM0HBulEdgoWWOjZION0khslEZho2SLjZIdNkqjsVEag43SWGyUxmGjNB4bpQnYKE3ERmkSNkr22ChNxkbJARulKdgoTcVGaRo2StOxUZqBjdJMbJRmYaM0GxslR2yU5mCjNBcbJSdslOZhozQfGyVnbJQWYKO0EBslF2yUXLFRcsNGaRE2SouxUXLHRskDG6Ul2CgtxUbJExslL2yUlmGjtBwbJW9slFZgo7QSG6VV2CitxkbJBxulNdgo+WKjtBYbpXXYKK3HRmkDNkobsVHyw0bJHxvlH8z/NkoB2CgFYqO0GRulLdgobcVGaRs2StuxUdqBjdJObJSCsFEKxkZpFzZKIdgo7cZG6T9slPZgo7QXG6V92Cjtx0bpADZKB7FROoSNUig2SoexUTqCjdJRbJTCsFE6ho3ScWyUwrFROoGN0klslE5ho3QaG6Uz2ChFYKN0FhulSGyUzmGjFIWNUjQ2SjHYKMVioxSHjdJ5bJTisVFKwEYpERulJGyULmCjdBEbpUvYKF3GRukKNkpXsVG6ho1SMjZKKdgoXcdGKRUbpRvYKN3ERukWNkq3sVG6g43SXWyU7mGjlIaNUjo2SvexUXqAjVIGNkoPsVF6hI3SY2yUMrFRysJG6Qk2StnYKD3FRukZNko52Cg9x0bpBTZKL7FReoWNUi42SnnYKOVjo1SAjVIhNkpF2Ci9xkbpDTZKxdgovcVG6R02Su+xUVJhoyRhoyRjo1SCjVIpNkofsFH6iI3SJ2yUyrBR+oyN0hdslL5io1SOjVIFNkqV2Ch9w0apChulamyUarBR+o6N0g9slGqxUfqJjdIvbJTqsFH6jY3SH2yU/mKj9A8b5Qei/22U1LBRUsdGSQMbpXrYKNXHRqkBNkoNsVHSxEapETZKjbFR0sJGqQk2Sk2xUdLGRkkHG6Vm2CjpYqPUHBulFtgo6WGj1BIbpVbYKLXGRqkNNkptsVFqh41Se2yU9LFR6oCNUkdslDpho9QZG6Uu2Ch1xUapGzZK3bFR6oGNUk9slHpho2SAjZIhNkq9sVEywkapDzZKfbFRMsZGqR82Sv2xUTLBRskUG6UB2CiZYaNkjo3SQGyUBmGjNBgbJQtslIZgozQUGyVLbJSssFEaho0Sw0ZpODZKI7BRssZGyQYbpZHYKI3CRskWGyU7bJRGY6M0BhulsdgojcNGaTw2ShOwUZqIjdIkbJTssVGajI2SAzZKU7BRmoqN0jRslKZjozQDG6WZ2CjNwkZpNjZKjtgozcFGaS42Sk7YKM3DRmk+NkrO2CgtwEZpITZKLtgouWKj5IaN0iJslBZjo+SOjZIHNkpLsFFaio2SJzZKXtgoLcNGaTk2St7YKK3ARmklNkqrsFFajY2SDzZKa7BR8sVGaS02SuuwUVqPjdIGbJQ2YqPkh42SPzbKP4j/bZQCsFEKxEZpMzZKW7BR2oqN0jZslLZjo7QDG6Wd2CgFYaMUjI3SLmyUQrBR2o2N0n/YKO3BRmkvNkr7sFHaj43SAWyUDmKjdAgbpVBslA5jo3QEG6Wj2CiFYaN0DBul49gohWOjdAIbpZPYKJ3CRuk0NkpnsFGKwEbpLDZKkdgoncNGKQobpWhslGKwUYrFRikOG6Xz2CjFY6OUgI1SIjZKSdgoXcBG6SI2SpewUbqMjdIVbJSuYqN0DRulZGyUUrBRuo6NUio2SjewUbqJjdItbJRuY6N0Bxulu9go3cNGKQ0bpXRslO5jo/QAG6UMbJQeYqP0CBulx9goZWKjlIWN0hNslLKxUXqKjdIzbJRysFF6jo3SC2yUXmKj9AobpVxslPKwUcrHRqkAG6VCbJSKsFF6jY3SG2yUirFReouN0jtslN5jo6TCRknCRknGRqkEG6VSbJQ+YKP0ERulT9golWGj9BkbpS/YKH3FRqkcG6UKbJQqsVH6ho1SFTZK1dgo1WCj9B0bpR/YKNVio/QTG6Vf2CjVYaP0GxulP9go/cVG6R82yg9A/79qNOOP0T35Fo/nqpj3sp73zU5/ZoT/WReEf/jDvWdy2apFgk8t7zpuoZOKqZVvyMoU3MDuhWcdd78Ni++5nFFct6fXif3zVKxzgmvMb8H/G/K12Gi+ih14tzLwQITil9o69Evj3vDgvnF9ziq+bV5oyBxnFXs3/E79NMHnRF7/Vc09ad6/RMdIxfvsTPUJWaBi55eMn1Al+KfToWo9F6rYxeJzBUHnFE/ePTbsJvfagbqzukYpnl+aYzPDRcW6fNmekSx49BjjunLuQ/20DCdHK540afadHa4qdtstbN0HwQ8fnHqoixv/7+026IZ/jOLdrrZbl8Jdw/RNRatY4fO3j1k6ZZGKPdDZ0zJecLU/5PWZu8bQ8Uaj4hQPmaXvt3WxitmYNjctEtxS/dexju78e1n1znDlecX994c+usq9VUBy88bxildEf2sw2UPFXuQe+XxS8NHvNR0+ca+sDbg6KEFx5/zc2M1LVKyRq/fKJ4Jb9pmr12GpihkcX9TZNVHxn2sOBV/hfrury806wV/PCtC19+Tf1xq3CfuSFJ+0rH3kR+6DOnplGVxQPG/agjGbvVSsyZF1w24J3i12Sp3+MhUbtyT45LSLiqs3/XL9CnfvNierygR3a9sn2H65ii3vfm1Q4CXFXb203T9xD2/xfGmby4oPjtk7bYu3il3zqNgXL/qSi/YdV6hYWbxOzMgrin+Y5D37GvcM1/4XCgQv+Z6xwmGlio1t6RC7/Krw+fy9euQz91c2qw42uKa4VkPL7G2rVMzS99DyY4J3j3do0WW1il2wuGZpmqy4z/6frte55+nk/3wg+NTpxg+m+ajY1cDac3NTFB9w6OvACu5327WyqxI87tugy0FrVCxnvknujuuKb9LStO7hq2J934yZ2TFV8eBNc17f4u6vP+/RRcFfVppun71WxYrOLu875obiW//tYDXc79TzC3gj+IcxcxrsWadiemnb7q+8qbiXd0xh7/Uq1mtZ0G/NW4rHtvK+lc49fu+ObuGCzyg4nzR/g4o9vLpp6IDbio+f63Shjrua14qRGYLvGr7pzqGNKmY9Yu6wuXcUH9pDt9jEj3+/N4cbfhP8RJy2Vhb3K6v062+/q3gvX59Ri/1V7GlF+bP294Tfi6Htbo1NKnb/Tsp/iYJrLFgvh3Pf77Nh2Kg0xeV7LcYNCVCxQ+Fmb/IFb1DZ5NZL7ocfvvfySld8R7DLCO9AFXu0fVuF+n3FE8zb5DTZzL9f904LQwX/sLeHdxR3fzp/3+iB4nesgzqO3KJi7q+N298W/Msnm4Ji7vb7IuZPzVDcrq99xPqtKrY4qWnoB8Ez4+I2tN7G//ks95sbHioe1mTGwovctddee9XskeJ/y8fPnLRdxbRG/yyOENzpV7BjGfeOT4wKBj8W7g/Zup7bd6hYwIlJ6ZmCb25etKvbThV7ae9yan6m4q8WfUi5xb3HGnevasHtVpr9cAxSseJzTn12ZClel3djRC33N742he2fKG5hFXj0QLCKOW5qvT5B8FUj/dVMdqnYn6kFWjbZilvtv+CTxf15SHDIK8EnPmn7yz1ExSbc7U0eTxXfcvRCcIPdKjYy6OrCP4KXHFtndIb7z40m1/Y8U/zIumX57D8Vaz7w8J9uOcL9PG/3wSLux8aVDbgq+Jy5r+at3cM/55m9Hcc+V9z3vM3gVnv5c61m6srXgtdb9qLjRe7uNzw2LH+h+Hu7bS3s96mY1bglPhovFe/0ZnqrL9zTLaY7HxK8LNemV9B+FVvd3cjK8JXiRwvH2vY6oGLdzn1slCp4zH/uK9O46zrtfTAxV/HrR4/HOx9UMZXcxeed4AfPSD/+co8sPNpyVZ7we5xsOenYIf67KKo72yBf8YCxpy9ZhPJzzvaRvY4IXjxQzyCXe63vqiNGBYqfuvFf9KrDKvbePvj3DcHHbmtu0fyIin09v8PevlDxnYOPvkrgvrXf0oPvBe+7oXvghKP8ul1t/nhVkeL9f8YPLePeurNU2eC18PudMUhjZ5iKfcxe0+iI4BXsel7PYypW3aNC1+iN8HuZPTg1jXvUvfFaNwQPnhR3fsFxfh2ODamZWKy4SYbeeQpXsTNzk56+FdzQc1lKOPdr4deOrXgrnB9Kk19anuDXT9LpWfXeKT7rbeXfAu5qg5c1PCR4U7WWA9eeVDHn3A6Rvd4r3qqq8/rWp/jvaEC8ebLg2vNbPLnMfUNFpytjVcJ9qfKj8dTTKnbz4opeRYK3czh9/Bv39V0jd3pKwudsNKTd3jP8enufXPRX8MG9EiL6RahY1pHznffIwn2p4q/lE+7NyjdN61IiXA8mvVRLz6pY750D1l8Q/OrBHqFakSrmpZO+16ZU8dr7P2bGcN9raH7kheCnlocZjDnHz6v+m/e6flC80Eq7wQfu41IS1n0X/HP+hMptUfw+EJg8dftHxe0rZnzqEc2v/00nO7X5pPixPr0r07i/nOdSGCX44SF367vE8PPYw3o7LMoUN7rfwUAjVsUmLwro8Uhwj/VDZp7mbijnX5z9Wbh+GrQ6NCKOPwe/NB1QJnhFi/h3b7mb9+1wZv0X4TxmT0M3nVexppMa1mvyVfHsRY1Pd4pXsYJ/j6cdE/xFw0etbnF3/exxuE+54gavLY84JfD78B3V41TBaw/MN/zLPbfvwIrxFYrvKTJ9cDxRxUa9ca7/WvAlzkkrrJJUbFOAm5ZnpeJdn+UbveZud99G/Y/g/vnR3zZc4Oclx58fd31TfJlBpwf6F1VsSuW2u/pVijdeOig6lbvGoM/BcYKHOFQcnnOJP+9eG9haVgu/0yC7Q7+5dztgWflY8KZ3h5w6dlnFJjXtFeJYo/jkqAfJlldUrP6v0rZlgmt+Lisu4t6hiX/ouu/Cc8rybIuNV/l9r6asfuMfirceXTm1wzUVi3E3dj0ieM3NrDM3uKe0s71sUKv4dPvB5JSsYnNSTb9fFVwVa+zxl7u9enUvu5+KewbEvwtP4b/TkzvHvhL8y6bLbuy6ivUZXzXX9ZdwDpw94mcx9+3J/RdUCx5wc9KRTakq1jZ8xIzNdcI5du4b2y43+PtUQg+r5r+F50jpJ7W73BtFFLU4JXgb7ZWPFtxUsU8mboX9/iieGrDqpMYt/r00u7v/puDHqj5vjuCeUFNuOeGv4j/0ClaNuq1iLkfLXxUKbh5qsbKEu9GV284e/xT/aNTIf/sdft9TW/i6VvBHW2wPG9zl73dmr8Zspy//z29NKb/5kPvGRu3OtVRTPHusWpXHPf7fZWFcc0bwAfrrzJqkqdjEjc3NTNUVt1s3Y/N57gf33F94W/CDrUOLJ6bz51HfsVsmaiieGTlwTAV3A53jB4sETy8YcHvvff65VdwM9ain+Ba3XSMHPFCx0N0JQbWCD/5j9eoFd6cIL69t9YW/08F2tU+GimV/rbPWa6D49zZnurR5yN8Les/QPC24YX2HwmTuL1puutmvoeKnH9mfdnykYks8fVxvCD6jw3GfP9yvlFv8Gaup+Ioks5knHvPvxfHR1jzB2dCWdiMy+fudV69/ro2Ev3+ZpY2K+5iP9u5VgpN61PitWfy9Ncg2bVNjxZ2jpi3s9UTFqIVmM20txae0ttn+kLuz9cHxYYJXa3hdW5LNz2P5X9YaNFF8d7cX35s+VbHMI7qHLwt+wGildSJ3r5F0zrqp4mefjQ5zeMZ/j2HJkdmCb3/soFbD/fl8q9A52or3zt69KjRHxZbNCPb9KHj8vl/VFs9VzNj6zFgfHeHvz9wfWMTdS9rSVKOZ4sGmMzv4v+D3f7X+d/4TvHL9qPQuL/l7nFOEq76u4rbzZq1L4+59692vKMHX799ruegVfz/9ULrJvLni57LLtBrnqpjZySs/7giu/dj1Qxz3TrET5k1soXh7qz/PJuWpWFh23NUCwRe/Tsj4xr3+i+e0SE/xKwvXZx7MV7FW/neHVAleuX3u68EFKlYe6uvq31JxU/WpdYXcm5TUbNJqpXhK0Jye/oX8OjEZEhIqeFX+KqeuRSr2esSooG6tFfeJOnomnbvH21a+CYLXS3hcs/i1ipW+jJ8+tI3iQZH1pzV5o2JxZU16PhC842jbOwncV5f1L3Foq7jGhOAhU4pVbNaJdqFvBD/jlXP7O/enzx4O9min+FG3tlOPvlWxxAnDHtcIfu7r3Gqrd/x6eLNmYkB7xZNvHz/1jvu7iT53m+grXnrolePW9yqWusSi12HBVxs16GaoUjEdtTsbunVQPGdw7x+Z3EMKm9yLFzx07fC85ZKKjc7Q/2XRUfGdUbb39WQVO3+goku64Ec3DblzjfsO7R1D7Dsp/i617cM5JSrWoJ7KplDwyDbvX1Opil20URvm1lnxOZP2/ovg7nvsvUGl4Cf1exiP+aBix19vq7ehi3B/sAxz/8I9/dWXpw26Kt7OozJp70cV+z6j9e69grss6NFw4Cf+nDLRsNTvpviCd2buBdznmiUVRAq+80yHPL8yFVth0sXDpLvwe3F9PaXbZ35O++Xw6brg9SXvogfcn863dbTtoXjXojzvpV9UrO+gutSngn9r3ExP96uK/Z7krePYU/Gsvi3vXeY+wC/KQRbcQL3Eb3Y5f18+eHLbsl7CfWPUJrt/3DctnhX7U3DTK+/0IypUbFpmzu3NBsLvTlfz3+hK/js62ORBU0Ph/tmq8ssX7itCG9wMFTwk8OjHfd9ULDrq9tkuvRW/qaf+bVCVilmED/GLFfx0cI+Gr7nXm7jKztxIcb1IdcPAan4O3O2pdkvwDt1CZ/Sq4fdh855xo/sI94E7b/dlcv/XLtwuR/DPI14XeH/nz+uWL5879lU8fEFQv9Y/+Pvmn0f2suA3VPKeVO6JMf43vYwV77f1y1/nWv6+X/NNv1Zw9YYn1jb8yc//V7ovDegn3DcMa+k89xf39eIa9xfuM3HfDzj8UrFFdK9ov+BNHA6b13L/YNnvr76JcD/JL3h/vI5fh9NnNYsUfGq91GM2v1WsocGIFv1MFd+132LhR+4Dd5U0uCb4qtGTB/73R8XWOI0pGz5A8a0StTL/y32d++2Hgs8xtFUv5D4q1Xabg5nij/I61m36x3/v9M6yUPD7l3ZQL5LYqG6DpYXmwvXvH9A8i/t89fEbPgs+pK6ByUo1ibVcr19/9UDFAz+1mtNWXWKWS6L9/ghev1nC/lvcdZK+fdg6SPHDxlm5rhoS0zeqtdEerPjoRssMmtST2ORryf8dEnzkwn1bL3CvGzQos6OF4hX/zMpn1pdY6s7lPyMFzz891fUf90Mhrq37DVH8mk556dkGEvvYrVXPq4Kvb6y+ZnxDibn3DezBhgq/rxnBzau4GwdHt3wgeJeUHSlHNCV2ruOu7xMthX//jx9ewxtJLPyhYcYrwQ+8eNWvlLulV2CQk5Xi/i27/QlpLLF65QetSgT39i94ZaYlsWxjl3eew4RzS+6v1ELuBc2+rK4RvJcqICGwicSSffvXbWDC73eRZ7xhU4nNGmvsXW+44n97X09+yr2+R0lusOB3vi1+tkZbYi6pM/u1GKG47tZVNR11JLa659Y1RwXvGlXY4z73AyFLErtYKz6z67EFns0k5pOrVRAl+IiUi7F6uhLr+8m1up+NcP8f2FktlXvPuLX/rgg+x6l4wcLmEutRz67OaqTie2q/Pm3cQmLj87NK0wTfkjl+3AXubVtop48bJdw/T31/NktPYk5HGu7PEZ19clFrKTH7qSmTZ9kKf79Xj3rR3H369FR7K3hUzdkE+1b8c2487pSbnXCeP+6+qJb7zDwD0y+Cd+rnZXSytcTK/G5dXDla+L5WJNXZtZGYxwftnr8ED+tnklfOveO/Vjs3jRGeX/3Lboe2ldiV87lFDcYK14PV68usncT6F9t3CRF8duf6V0u5f/ALnN5inOLDTs9P+6+9xEJ9l244Inj2ri+vB+lLbMI17f2dxiv+Ojpa4y33Fb3dj54V3OnePvMdHST2+Pr6fUYTFPc7E7myf0eJrZpluz5J8P/0VDfyuJdWZEwdNFHxVu9G6QV0kljFMo1ONwTPeJ7pY9hZYrfSavKtJwnf79XV8jPuOa9PbM0QfNaMYfPXdZGYZoxa14n2iu/w617atavEjrRpn/BccN/aHusec9dt+7nPrMnC97hneNtV3STmGLYq7I3go1usSNPvLrFr/136tdBBcWnctfXp3NNLYsd+FPxhA13m1UNiK/fODvaaoviEZuu0W/fk/78Bt1OrBP9mVvnxFveR516/8Z2q+NIRq54t7iUxre9JlX8EP6Gulq5rwD+feVY1gdOEc92og2kp3LVz/T82nK74oVzjpwsNJaY+ae2TXYJrbXtc2qS3xP6lGEbozlB8b0d3rSvcU7X3ehwS/IdX/aHzjCQ2cVhCl/YzFR84KtxHsw+/bodteXhCcJ9lJjeTuFepN1vQfZbiLVNTdR378uszwKEsSvBDP6286xlLbHniONe+sxW//P1C0Xnus7fUZScJPiWw7dQZ/SSWUeVsNNBReP4uWZZL/SU2pMZvTYrg4QEX3GK4B/o7XBo2R3E68FZtqonEnu0sendX8GkrfkT94R6l1YHs5iru9bna8Zwp//t/t9B5LPjEnFftJg+Q2J1pd7QnOQnnuuqj8i/uado9/uUIPqsrS40wk9iLzuzt9HmKr+h7J3yiucT6bNW5UCD4gJKOIbXcnc0PrXKaL1znHaZvPz1QYnONnvd6L/i+CJeQ8YMk5up8/7Grs/A5jB994jv3ZjnL5n8U3KD0b+rJwfz565stL12gePGobSVjLfh9YJLsWCF4+JCi9jXcm09JurtyofD3h/6dc2KIxAz8B7T7Ifgh47LoMUP58+7pkgXrXBRfnXNCvZr7eOvZYX8Ej5/WblG4pcR+5/xN2+QqnCuCZ+aOtuL/Xf6zijXcFN8wauaUKu6DRnl82ib40JmtC48Pk9iyriYljRYJ99tD+71GM4ktahmfs0twwxePmlZxf6r/LkFnseLHpJRrx4dLLH7Qo437BFeFOS8bPUJic1zdLVu6C+fhJ6kmVdz3nL1ZFir4hkmP/h23ltjU2ofB7TyEc0L19vzRNhJr4BSsf1xwzX1VN6u4z81VD++0RPGk340Tw0dKzM21f7PTgoc1yowbM0piWxvprey+VPF/IWaXq7mvSj9/P1LwcfOsH56wlZh12J/Ghp6Kt5lS9WGsncSmhWgMjxXcjI3S+859cfgt175ewv3np/m4U6MltvuZyYYEwZfPvBcyfozE+vWevdlkmeLtTMsKf3DXjBu8/qLg3efGmp8Zy89djlkLzZcrPj5RLWziOIk1sWxjdVXwdeqftX5xnzulbUMLb8Vf9l684+x4iVlEPr2TIngErWo2eQL/9wwZ5mm5QnF3x6YRv7nv01vQ6Kbguc1NbaImSkw11PIQWync5/8Wf5kySWJLr2S2uCP4lB96Ef+4fwpqEWi9SvErL564xtrzc9TtZu/uCe62TGvAjMkSW+eU1n/UasXrnczQ0nDgz/2lxt73BXdh9SriuVtXTTxt56N4cM/U4tlT+Pf+q0dahuDxxl8LGkzl/3zwxVdj1gjfo8nhdxe4747/kf9I8IsNr1U5TeP3Q89vWeN8Fa8OHqerNZ0/93POXMgU/Euo/ZCr3HeXau2YsFZ4ntZP91o4g/89V3pPfCL4x4TIeJ2ZElsylupPWiecQ5ZX/bzOfUr8rrhswa26RdsvniWx01+yR9qvV7zj6fQLerMlpqf3KOup4PszbDvf4X6t73q7yRsU/+Td+4inI38e2aqSngketdarQ7s5EtuwVL2pw0bF119vdv4+93mxeTNzBLdroTN65VyJka7bQQc/4Tw8d9HXTk4SaxEbczdH8MmrW5/M5B6+PfKtg79wPQ/uMHftPP5cvjyrPEfw5ECfHj3n83PRiLSvDpuE56lJl5853JdalbzJETy4S/s8f2f+fV25dcshQPh++y+422cB/75u2O/NEfzdkOqr+dznLDgyxSFQ8f6dsq9tWyix/EtHGuQI/i2lIm2AC39vSp8cM3mzcJ/8PL3oLfegyDvDngmutfff3xBXfm5Z/PGe/RbFf23/0GeoGz//6D+0eCr4ngQdtw/c972Yf3LSVuF7LFkRc3CRxF6eSfzxRHC1Js1+WS+W2MZj19jEbYL/k6ZWcF/7zNc3S/Dq8PKU4+789z698tT47Yovety3zzgPiWVadU19LLi+y/GoWu4xx7QejN0h3IfHWPaPXCKxN9vO330o+ITZmvemLOXvp800E0bvVHyE77/5ap78vjGp/a4Hgntt7tQ4gfvTmaWzbIOE8/wct5tzvCQ2dsTSNumCB0vPNjZeJrHenWIe2AQrvvX3vNHXuJ/VPLXoruCPt2p3dFsuscF6k2uH71L8rXPh3xbeEkuZmbL2luC+K9I+3eHu8KWozCpEuN6OPHi3bIXE1ny8NjFV8O/X3qs6rJTYT5eJp4fsVnz4xRaVj7nXrDleck3wpx4zG61bJbHCIZHtB/2n+Iy78X0MVvPn8v3FIy4LnnRMz/EV9/QB8owBexSvKdp+YIuPxEYdaz8vSXA3twb5pmskFtu2yYx+e4Xfr/5ug3fc1e9fYecFL36vv/k/X/65XW/f1mif4p7HEz9YrZXY6JZDVVGCD+hvN+sz949f9MJ77lfc2//Ni6Pr+PUwP3pMhOBhy1Y5jlnPf3c7a+UuBxSfLjf48oN7zBb1lScE903fvzNyg8Ruez6o0D+oeLOaNibTNkos2tlu3lHBp846oNLw4+e0jYE3Wx8S7hu5GqcucK997at9UPCiaa7uzv4SMzzVe1LzUOF5nXzFstkmfn6WQjf9J/jnDzXtbnGv9+D26SaHhXP7o871vAIkttDt7OWdgm+yMa/VD+TPqXejkhscUfzRUJMfj7n3mHn6/GbB7x9prrZ+s8R6fUzZR0eFz2FkbsveWyQWcOm/xRsFb91to3k+94kFnfv9ErxxB/X5O7by63CdV4lPmHC/autycNA2fv6/6ru7SvAwtVMvS7h3TGS9lh8TftepVzof2s7v59vvJX4WfLnJGZ9RO/hzbW49I/fjig8a65JbzT19mvohWfC6rz+sI3ZKrHrvjUrncMW3a85JnhIksetmA4e9Efyt/+4hGsH8/OO8dP3sE4qbDwu5f4F7+yHzo18JXtFn+twFu/jzVKWb4XBS8Wjz0r+6IfzzDAjIfSJ4P+thsXe4mwxKyB17SnF/y1kLvHdLrFvvsIz7gmdpD+ze5T/+fu03Ksb6tOKbz+RUPOU+e3b8hpuCm8l9MjbtkZjZ+5dsyBnFE29ax/Tfy/9+y9Sqy4LXtmse+pZ7993Oh00ihPO5fHj3nn0SS/ib3ve84JLmyz3D90vM69LHiwZnhc/TO+14BfeFrzJ7Rwj+o7Hr5ZMHJPY6eNm+TpHC53DnUq79Qf68+P3s01HB3TYl1VM7xP9+++oBrc4prm4+yzKJu3XCK8+9gh97HO3nHCqxgdZrDzeJUlzD5NRj3cMS+2xSdHG74IMdrLrd5X7o3L9b6tGKL9PfsHXFEYklZqpSNwrefKPjt65HJdbw8Y6YWsFTnPPdn3O/nPl1x8oY4d9/rapsc5jEev5uOfOr4P95RfmaHZNY6y1/W7vHCs/BFTU6Mvf//ovKUAn+8mJe0sHjEisdo+fhFCf8fjvZO9mG8+v8zYjfeYJHnZ3V8gf3zutM/KecV3yFWdWrcyckNny06luW4Auvtzsz86TELq2eMWN0vOKlhk/WNjrF32f77Y67K/ixZVqOKdx9T2//Zpmg+OwNT22XnJbY+t82hlcF7z68vZX+Gf69LLlnb5IoXFexH62yuN/Xb+AeK3ijeIsxfhESC2VNVvRIEn53Fo3m9TvLryv1V0tOCB5qNd3/LXfTAwunt70gfP5xHWP2RvJzVPfLJvsFn+Ezv9j6nMS2vH/0p8lFxd1D2naq5n78b0TKNsFbqOzcz0ZJrCzKZjFdUtzU/eON6dH8fq57rsE6wV/o/tbXjJFYpEf2wSrBrbI3bkvm3kFKbel5Wfgd7V/6yyNWYrkJy7aVCL7a4b6vfpzEjv0rLZ13RbgP/Nmh9oS7X/2eQ/IFr7fzwgH/8xJ7X2W40eGq4k6lw01N4vn39acq8bHgs5uYFrznbjVty8uR1xQ/W7Z514EE/j0aF366IXjPtWZjbBMllpVaWzEwWThvRI1oVsu9jdnr0gTBnZdFv4tOktjejB3ZBinCdXXb/YbjBYklx9edOyX4iH2bzjS9yL+v9gO9210Xnst5ZftvcQ+1GWy0X3DbHdG7vS/x8+cc9VdaqYq7hF7d3+0yf74fO+C9RfCBdS3OvOTua1H+57fga6NTU7df4fdh9+brV99QvP3hhLcWV/nfv+Dvhy+C29z4pP2Ze+Cci3ZuNxUfo7PULvyaxCx3m4S+ETx5i0mQfTK/X/Vbmzv9lvD561nkqqfw63lNkGa24B0ubzK+zP16uGtvu9vC+d+pwZ5F1/l70+vGVrcEr26QUdc2VWJNPdcNH3RH8d+R97wzud/aesksQXCdgT8q/W5ITN85uW2vu4qbxM3fYHJTYjcH7ywPF/w/tb/NJO57bLtfaXVP8X3GWQmHbvHfb1qQ527Bc40yZ465ze/zX1JbNkhT3PhbrdZv7ud+p8RvFDxs3eSH8Xf4eaDP1sE1gs+5+XyP812J/bna/uLSdOG8dGXjAr17/H2t0K+jJPjduROGPeCu/zx+neN9xUvihndflyaxuwWxD3IEnx4+Ta9vOr9P9vOpP/aB4pP7BGm/5d6+qbbZHcFnTC5qvv8+P08mrZwyOEPxpppju9g+kNi72ecWJgg+Y9wzi5/cS0dFu/R8qPj4VsvnxGVITC1p7fTjgpu7dN8576HEdha0sdB7JNzf+n++1fwRf46obW8SLHj3Nel0n/ujhWlP1R4rnjEgftzaxxK7MOLZVl/BTy+IONknU2JuBeeNygXXpMh/xdyve86+65opnCs0kxbvz5LYk6G5Y4oEf+57r9D2icQab+1+1yFL8U8TCmf+4t4ryNrooeDVW74Xn8+WWNddJlvZE8UntW/h7fyUn+czK7MvC75Hu1+Tls8k1n/XZq0+2YpvnDM6KYN7StPSQacFb6Uxd/6GHP7eul9/Wpuniu+nJW37P5fYeafuC3cLPn3K8iIVd/uLf53rPRPOFb88okNfSKzBi9jJ6wR3r5q5adxL/t9Vr49pheAHhw12/sd98nZ/Dbcc4TosaDD+4iuJrTwVmV4ouPuDu8MX5fLr8NAp38nPhfNPPQ/WPo//7mKX6z8QvHrPL7ts7uY99JIsXyie6bli9uZ8iVmM3jXwguBqYdk+gwr4e+js/LheLxXXa9vseBn3yyfrWhwX/PIHk6wThfz6ca5a0vyVcN5oPKDh1CL+XqO6fWm74CGbdMdpvubviUtdvv4W3GLc48Op3I1HvmmzIlfx+UudKpa/kVhaorFZqeB35YzJPYr57/rntOFz8hSfmax5I5970KKpVs8En/ixvenutxJzHdHbyDZfONf5UpL1O34ezs5tdF3w5osvWfzgPsdxbn6/AuG+nWqeGfteYvl9rh+JEPzkmsDF81US8wipHNu2UHHH44e1W0r8/fo+fQkRvKS/z82H3C92+eivXqS4yrytr58ssXYfYzTWCG6c6D90QInEKtxsfcsEzz1zTvMD93T5+ut5rxXv0vK/4mOlEvNO1DJ7IfhOTbPbkz9IrFXzgetHv1H8XuCBmAYf+f/v9KEXUwVP3BEffp27SUb7ov7Fwrmi06Zjyz/x94VLuTURgs8f3zCiRxk/h7gto7ZvFa/Ts75cwH1QH1XdLsHr+xs//e8zv/4nD/hA7xRftedR9cgvEhvZbX76KtEn6XX7xd2n3H3/B8Fd7jZyTPgqsTCNyQ5z3iv+ujzqmEs5fx8/31L9qeBxb8pL21bw++rQa6dtVIrnHCyyzOZe8Huw2VXBd+l7hm2plNhMdvhKb0lxu3UnNIZ84+cch1eG4YLHXfFeXc793NaqEF1ZuJ/kv6uIqOL3Z4OK91sEb1b2ZfXsan7/Cc40qBV8SdX+es1q+Pvynx3zlpQo3rXu2bF07rOe9tj+RvCyxpHD1n/n9+epZ05MLhW+RyPtT/1/SOx2gVp0muD73DRPlPyfXxpxZtAH4d+Ttm/usVp+fzZbuDtGcFv72B4OPyW2K8bNo8NHxd2a2/9o+It/Dh7jB+0RfExL/5wb3Cfd16tR/6R4x4UDr66s48+FZrfPrBZ8fINVZw1/S6ze8Yk2HwRf0Wjg8WLu1jdvP59dpviCNevCD/7hz4WMVtOyBO/lyKLH/ZXYNu3JD9hn4Xq7HXhD7R8/B8rLel8Q3DPJuvAq9/unVvp1/yKc24duVPcimT0KnXPvkOB5i/sP6K4mszP6Rj81vyr+yna2ZwH30K3FndYLvuBdbeIedZmZGKwb9EXwfyMb/7XVkNm42XVsXrniy/x2Tf3Dvc57ocUzwSOPbrx0sZ7MItMvdLOpUPxZZGEHj/oy+x778e8lwccnRuzp3EBm+es1H/esVDwl7VWTXO47dunsOCz4u8pl+0IayizQ/J9542+KPx7l1WWkJv/nn+S+WC/4lSfZyb+4xyQccfkiuF7YPsekRjIbaDJKdqoSzoHJlxosbiyzjNiC6U8Fb2hhdr2jlsyG+s5OHlEtnFsMdNa+5H6tPK3JRcGDQm2G72ois7gl7SZ3r1Hc9WB2M5umMksb5bjtoOClJkmffnL/k7s9rsF3xWljSVaitswObjh5b43gBds8UxbpyEx399nHHwTPmzcysWMz/ncuCk2b9UN4rrVxT3jJvdtCn/hHgmfcyb+6S1dmPV5b7xxaK9wHlh54aNNcZgX9/0yNE7x771DpF3eDlLO6HX4qXqH1VvNCC5kNeml5K0TwU908B7rrycznzd25fwVvu9nSs3NLmR02HfzF65fiSy3Hn8/lfsT4uGex4GXOR7/vbiWz5H7f3kyqU7xDgx5jbFvLbOP+QSNuC3596KeIP9yTrnoe6P9b8dSWHxpdbiMz118H8k4KPvqcvu/StjL7mny+qe4fxdM1tpV3ayezsqnXBgQIfn9Y1+WF3If0vjy2UvBOS8t/7msvM/UjEQ7Of4Xv5UTZrrH6Moun7eOeCW70Vc9QvYPMKm/PMR/xT/G9S9yfJHO/YdGzWZLgF/uUbvDuKLOJj1WFnenr/3Nf211mhp349/jq4OE9gv/Kml7zlnv965a2pKb4zryRtw53ltnPgjxpmeCJ66fus+8iM/tQj1XFghtnbfbS7Cqz45O/VU9UV/zP+6dTbnO/umS5203Bxz63sPbtJrPrdnJGXw3F119KtejfXWZNRk/WPy54v+MzhnzgPin70vwm9RQfEqE58mQPmXkNb3ZoveDn3mZNn9lTZkf/Lkz9JHiq+9kVzXrJbJRn4vNZ9RWvnB4SmsHdsKKmMEPwn7c2p28ykBkrM3s5qIHit1K3/R5sKLOHdz1vRQq+wPWAZSX38YUnj7ZsKPydOTFbo3vLbP+RJ25bBM9vn5HrbCSz6AU/ulUJruH4ybRdH5m9CWuf46ypeEqUTmgO94cxQ72fCm7ScWC94L4yG1kzQ401UjzvheM6G2OZebxbHnhecIcSv5913I+/3FbdvrHiG5ceD7jUT2YBg4/OCBJ8ScDl5p79ZabmHRtbK7g7S4/rYSIz25KUCjct4bq6/WjSG+53/2X0fCl4Xue0ukOmMuvZ49UEmyaK165NSJw0QGZLb753TRLcrzTIS9NMZlkDyr06NVU8Z8tU8zvcH3ypWxwi+HbPxvXXmctMf1qjqXWCr7wR89p0oMye5bTu766t+NE9A26VcTd62uvPK8GZxpnoiEH8fnLF4vpIHcVzTX4cmztYZnYVEzwuCK5nYXyklYXMSktcGndupnihuW14NveKev5hIYKPG2UVt2OIzGouHetQJ3jKFt17I4bK7LnzzT2LdRW/pnvn/S/uUT5S9UvBGzUeq3XJUmYvnXTG2jRXPC44xtLTSma/trI9iYK/vPTWp+cwmdHM1Q86tFC85syn5GLuOiOSyoMEj1lzv/4RJrM956s0awXPnbhitsNwmZk1tmrhqqf47tGfr2qNkNmneyHaOYJ32GLaMZ27ZFfya1hLxRt0sQnxs+a/Uw27vFjBGzH9+oNtZHbHJTGyTSvFW/29vrWS+9T8rm5bBXf066wTO1Jme7PDW30TfNhbu1Muo2RWfbn7NafWis8c2d+yo63MRtRdGvtY8A2Pc4tzuftq2z8Z1Ebx5EOWu/bayeyt03frCMEnP5gzYtxomf1zjIpq1lbxG34D/9Ubw39fq93+bRD86psH6Te5P2xvYvdR8J6NdA76jpVZ5k3NTdPaKd63c2NP03EyM8/+En1HcCPbqxM+c8+78Tatb3vFk47rDYocz393de+eHhF815jOhvMn8HPar8qs+vqK316a163dRH7/N9JN9RZ8Z++hvV5wf/SPhb0W3DHSdsDuSfy5+clvyZgOir/T+Gk32l5mLZ2e9Lks+D83e1f1yfx7yTQu7txR8RdVY4NTuVP0ycBdgl94UpLs4yCzzW7dW9cK3lO/a2X/Kfx78U05trCTcN1SXf8y7v4OC1tkC97h9LK1Z6fKbN3iTuuHdFb8WXe/R/OmySzYuPz5WcE3xXfv3m66zFq3fd5Bt4viT1yct73gnnbs8cwNgh/3NK3cPUNmq4zzt5QK/vvrQZcxM2U22eb3KYeuwnWoE/RWYxa/nu3NE28I/qm6ietN7h6ZWxIMugnPqfv633xn83Nan7IT+wWPi726fYCjzGaULA74K3jZo8IeX7n39f47xb274kXjtmdGzZGZm01c6xeC95x+bf3CuTL78nxF5rAeiofpeg7o6CSz8iMOK6IFnxh5piqPe16T8Y30egr3W8vZqfvnyWxKxLy9foI//L07ZOJ8fk7IC2n8UfAsneGLGjnzc0Xn3FVTeim+JXzJmDTuN74PfXpD8DY5Omb+C/h1m5Oqb2CgeMXz3r2GLOTXVZ/Zs/cJHpGV0rWGe7Kf3s7fgjf4eKNnoovMBlh/jnIzFD4He9MBS1z5uaviXfJTwUf2bTW6pxu/Hup9vz6kt+KqmEWu77iHfTdIiBD8YlX34GOL+P3Zev1+bSPFz5qOT56xmN8PF3xZ7Ct48b7C8ubu/JyW49/vveC32DPjJ9w1mgwoHddH8TcuRj47PWS2MrjhnsuCaxl/SB+5RGZjMv8YduorfF8P6nekpfyfH9vq8g7BP80J9LvOvU3gZJNvgk9vP6fUx1NmEeUJ4Y7Gio/ut3emqZfMbumY/kkT/Fx6p5wv3KfNyxtv3E/xI1oNpkYvk1mQ45mQUMHXGFu/cVnOn9cB+29Rf+H845izvLO3zC5Oin7vLnjwnUtaRdxNbOTvOYIfCCmND10hs0UFdr+Hmgjnw6+LZ09Zyb/3/c++RQj+UneQts6q/zsnBBY0NVV8cC/7R4+4r1w056KP4Gzuhd3bVsus2N9pY7HgjVSOjtY+Mlt8Zefg0QMUry4d2/8v95igN1Ki4P+FbWyaskZm2zbMDWxrpnh032/fVvvy97ImDXUDBR/xJPKtyVr+70ku3PNJ8NDzR1594S7XL1KbYq54l98ZL6LX8fcgb02X64Lv+mRa6LpeZq83Ol/tNlC4z0e//NhlA3/viCutCxa80COB3nAP2xhmUi344Hk3Ox3dyO+3qzbOnDNIcbdrZDfdj7+/N9+9PE3w/lGrfJr7y8y7IGttn8HC/WR+m/gn3F0nWq06IHhxi09fgjbJbHRl0bzfgq+uLjW3C+DvobbnLV0sFG9o3mybRiC/Hz6Nb5wp+EZN5ze3uOu0eP9wwBDFv5/KG7Zhs8wW7LNbFyb4Q7PV5wZv4ddVTnF7jaGK76g2a1PDPWV6bLyH4H/0Wu1N2iqzFRExpjmCGz1q1dxrm8z0hr85Z2Gp+ITR5mG9t/P38Xhb7VOC591b1qeUe/fVkqumlfC78E5LP7ODn6PaXotfJnjrbSaL5u/k12fnux9eCf504OVmHYL4+aGZht6wYYr/vTbhbj73+cvX9z8ruIn1z/WHgvk5JN1oWBOm+CDNK1ZTdvHPOVTPaqXgTUcENmwWws+fSwb2LRC8puuc/EzuGY/2ao8Yrvh8acTFnbtl5jS017tzglOqyUHb/2TWe9SPCO0RwjnqraG/xh5+3liuPnu14Od3Gnjf5v7bZgwVCT7oq9GSjXv5v39MZqi1teLSKFPPIfv4e6Xmrs7Rgm/NsFjzg3t2451HdWwU7xg/fOel/fz3lXevvo/gH4xHnfE+wO9XdZYLigSft3lUuvFBmX3+XZ1gPVK4z0isvIz7LrfPX6MEtwky7RJ9iF9vd7t10hml+M349o5uoTILPxo2fLXg34N+Hut2WGaX106dUij41pmPSt5yn/xp4owRtooPnLxrcPgRmc1aEzz+nODaCVb7HI/y94jYxgOa2iluH1dU1SZMZjtaZDVeKbj35kVzX3GPs3j+PE/wHsuKnuw/JrNhMR12Dxut+IwYi9GTj8vMoTLOIkJwo+UbH2qH899jWMCrRmOE817dWYdM7tvNjrksE9x9Z5Jq5wl+Th7zR/VC8CFTwzfYnZRZ7OKzU4eMVdz3sEeH+qf4ebjDwSsnBPfYp3f/Lvc33zMb1R8n/H79jvpsOs0/54AJEz1EP/LLeNgZ/v87rvWWbMFndB5QXsfdROodazZe8U721leTI2R2Om/HvSOCW7r13L7mrMxqr5pk/RV8/MnXTuaRMmur2zNj4QTFO1u6Davi3nml26UMwe+vudkj6ZzMvDyr9vadqHjAXklvWZTM9v2XNX+f4M8fvNLqGy0zZ/eazj8EXzFrf+My7iVBS3IcJwnf+9Y2utExMnPf0n/1bcGPBrl0WhQrM8+SkY162CueGLXavEccP/+MiN69U/ABncZOUXHv1cup/lfBa/u+9T11XmaNDFw8HSYr3rzlwMh58fw5+/L6/SuCP9AbW9ghQWaad1112zuI5+d2bYq4J/otmOAv+KT5Z+ccTZTZ++MX1qkEz+n7MWpmEr/Ok6YfsZsinFtaS79bXZCZ34RJ0bGCj3Q6MPMld3uN4zE6U4XvcWTt9f0XZbbcbfjxlYLra2n3crgkM4PGQwJyBf9e/fxIs8syqwoImj50mvDPjxytl819t7NphxOC6w51PxRyhd83LE1fqk8XzkX65p3HX+W/l6ggPzfB44xikhpfk1npIMu2jwQPiL0/9iH33Zvszvadofjm4h1l25Nl1rz1+a57BXfUKt9vmyKznXs891YLXrrih0396zIbFbizcsZMxa1nn6y7x/1ZgJrNdcFv1/+QEpjK/3u7v9racZbin5MzA0bckNl5Nc2UAMF3XR9vTzdlNjA+tFgS/PQkt563uKvf2frdbrZwfrjeup7fLX6efJrzN0bwcSPnfbS8zd9rVvnXNnUUnr/9hr6q415qvUu1XPAFadGPUu7ILOv5z1vPBT9qF31/7V2ZHb2ZETJwjuK//w16NPiezDqE/Rx/RPAOZlNf/uA+Xy3kT53gD3r/Lr2SJrNTOzefcJqruJqRsbpPuswcM1+b3hG88YYP3czvy2zkgmNXuzkpPsvVcEI1d1vpVt9tgp8xLt948QH/vspGH/wg+NNOg6+syOC/U93BX8fOE/79AerfTR7y99bykMHnBT9/dLxVJfdLncat0pmv+JTLersSH8mseujyU96CP2k76/2yxzL7782fW88FN9RtM7xfJv++TldnmzsrHitNOvv1/7zLtGehgj9//Vc3Pktmgd87pf0UfKZtt22eT2R29sa0KMcFwnNz8XW1vtkye6L7Y+MNwQND0rd85n5od71RnRYqfpWG68Q9lVlOtt+fTYJ7NTE8teQZf655u517L/imOr8hRjky+6uTaj3SRTiHtB1e+Il7kt2m7LOCWyR6bI55LrPply9OaOiq+MUmf0w9Xsgst2b6jcWC91lX89HwpcxmR3p0fCR4+EiHqI/cmUv5ciM3xa2u6XpFv5JZuyz50i7BV3cxHeqeK7PrfhM/fRG8LDNJxzCP339a99adtEj4vTf8r+wD95Nmaw0TBZ/SMeNJVL7MDq+2HKC7WPEkJ8fkxQUyu+u7yniF4Iat7GINCmVW73WX9s8F37JvZ8QH7n4jRv0c4K74nS5dzkYVyWzLqOKMA4K3b97k/OLXMju3o2JnjeANL4xONXjD7w8xay2neyhuZv8y5wP3g+PWv70i+LahiRVRxdy1vq9uvUTxrvdyW7q/lZl+8KffawR3GTjW2vAd/717zFqdJ/gbqb7PR+7bx9kUD16q+MKOjZKi38ts3pOoIUcE/2HqUOWu4p/ngaDtPwV/t6LYsrcks6fsY/osT8UPGyeEfOIe6Z1ekyx43pVbcozM36MzO7Vu56V4yBydUUtKZDapstZwneDvlh+LNSrl55zNk40LBB8yyrXtZ+7pPXp3H7JMcVOjxbvjPshs6brNWkcFP73qTGPPj/zv6e4k/RQ8bGXL3X0/8ffoBynxs5YL99t1qW2+cq/X8KhHsuBBhYdi4sv4+9e2363beiue9vG0zbLP/H748f0VX8Gb1r5R9fsis4UvJtjlCX5o1pjgCu5ny6weDlqheJbzW4ukr/x6eH7RMlTwaS6ny73LZWZuknjqu+DNLofEmVbw96DoAbXTVireKurk8iruL98OG35Z8Ot784deqpTZ2o05a/VWCZ///YHaq7/JLLl7ecRKwaeEXSk1r+J//4aDd3IE13adkfGd+4be97NNVite49s68Wq1zIa/DMjeI/iWPjXhvjUy69Tt4e1ywV1efj1g8Z1/jynHzkz0Ee5LD9X3/eKubfNnzXnBfzr1O3T9h8yaLiyzarJG8b6fV5zaUCsz3buLajwET3rw+KLVT/57b7gy/KHg00cPzvrLfVZhUwsDX8V7pl/5cuuXzGzkwenbBHc9OKplQJ3MfLKqrWXB9zRT2Vj/ltlES+sLNmsVn787ZK3GH/5cLujS4rTg991srqRxn2l/wJXWKV5eqf5r61+ZjbE7Gu0k+LAdj0ba/ZPZ3MVmxamCTws8fEiTSljtnIUN2q8XrjeLJeUPuV9+0qvTWsF964+YFKxWwtwWBRrmCl46vM2V8eolrPmzlT3MNyheNLK8m7ZGCau5/Lv5fsE7Lkk7nM3d/3aHbxWCRzQ9pLe3XgmbGZZ7d+JGwbctCHWoX8KcKntvjRN8T3+DLnoNStgJzzYWjf2E68pNTnrJ3eX6yTeLBFcPPDwmtGEJM9qWtjpd8KBi9mGmZgk7vXbL367+wrklPz+kXaMSljjine8mwT9lugwp4r4yqFB6LXgHveIvxxuXsMG0ynroJuG8rWUXNU+rhG2bFLv3sODndMLcuzQpYa17BObUCH55Q76Jivvrvj/rTQlQfH0CqZ1tyr+vVrqGiYK/q6eT66ZdwtJCHg1rGqh4ywL1SwY6JSyL9bT1EHzF/8d0fcdz+X5/AE8qikT1sVdGCJWMSuWSkZTMJETISEQkiajsKGUTirSksmVv0rAaqOxxD4mMVCjf6/fP733+fT7ej9vtvq5zzuvc+JI4hr37iwR6BTzxUlzgM04CdbG/kpEIYrjZ0lYvNy4CzQetXXUNeJ3fE9ft6/H3n/j9oRf4piNLLtPYTyxcj1UNBnm+Q8GzcAOB/hyv1UoEvnRa7Yr3RgJ5F98jZ4AreYjH7vqPQEz1kpcNQxher9v/fB77iq1Hlz8Hzm98rq2Cm0Dcj2V9V4cyvJf++CuAh0Br+p4NOwAfP8cmtZ+XQAOB3Wp1wG111lsx8xGoTTsnUjgM9LcWMrkRu1aXwhtf4H9PRfSG8ePzIm3mO4H7u/yWOiRAIDfpfYKK4WBea2+/xC5IoEXdV9tuAe8z2t7Rir3h75LSN+CeM3PbooUIpPKTlNW5znDvyMB4E2ECzQxe2ZgJvMOvg4lbhEAfLjRP/AP+ZPOQVzf2Xru6MosIkJMn8ifuiBLIxNLNpxi4n7KGu9UmAj3kapFaH8nwAeuoORExfF67+pvPAo9viQ8ewp4Z+NDyNfD+kWN8D8UJpJgpOiBxA+Q01vZCJwkCOR8xOnYV+JmUpWNbJAn0UmlX1VfgFstHlsaxN7B38uy8yfC9GX45OZvxc67LnooB7tPT4OApRaAC693p34Hn8FaJKUsTaEh9WdvBKIZXlzkQv7A7j1ydzAReJVWWWyZDoMm/5UxLwBcbSq/5byHQEY38lRa3GL7yt525uiyBbjnaLxQCT91cuJNZjkBzIh+G1t0GdVScLdiEfUZ8qfwM8BccB1mvyxNITpoObQT+KS5s/vBW/P2HojVFo0EfyDk9w7GNQIOs81O+wCua6OkO7FlGYjGfgIerr/4Tt51Ae8+zSWyPAe8Z3LjyuAKBkETx4wjgMfOCfAI7cB8TEBcaBb5zDYdiH3YBTpNgFAv6iUCiSYYigXaWHuhNBj6TUOxrr0Qg3dZ/UrPAX4+ceSKljL/zqsv2+nEM/3g2v2cM+z/+6pgnwJlTInleqBDoQl1z/vJ4kBM+zR732EmgqKLkhhPAK0LH05V2ESj/2Y7mYuBHeD0mf2H3s4mr5Exg+LrZq1rluwlUcr36wRngfMH86QGqBDo1WOjfALxkx97lGnsIVCh64aBwIqjTMyNnVu7F/YeJaaUP8P8SuL40Y1/cY17QATxWtM7gxj5cj5EBJrJJDJe6MPvWQA33vSyP0WDg+5ce6W9A+BwNFJ37gN/c0t3Vid1sV0PfzmSGT9mFOt1RJxAhLHkgGvjNjbl/rfbjeq88dm8MeEm2yZ1NGgSKaDMf07zD8DXx7vtGsRev2yaVBlxv33LyiSae77u7TOeAR3KtSXTVIpALq4m3QQrDV10JObJdm0AKuzLDnwBXnfFcM4u9Irj5BlMq6JNf21teHiDQ5qf1gRbAhx6lJfrp4N/bx58pAH6urssJHcTz65yaFnsawydS/dWYdXGdRlavcwA+/+CmwCvsFh58LZXAz+quWoo4hPt5v95l7rsMt/wzSukfJtDaWAshd+CcErKf1+sR6ImuZu4r4Bt3f2zrxD5Sw6Iseo/hMk/63905QqCE4ifZPsAPDx5ut9YnUCO1eWMH8GdHeb6IGeDn/xfkJpPO8BpP9TEC+8OFyrJrwLc9a1yWbUggU/Pu35+B93s8FHI3IlDQ9/fSOzLAfFTqU1c0JpD0xReHIoC/cHQ78wu7W5GL9RDwMp+jd8pNcF5yYrNXvc/wLz1R7VeO4vo6EmUZA5xnpeBaLVMCRW7+qTUGPPfUvAHrMQK9y1cX1chkuIiLdPI77Jb5Ht+TgQtGPaBumxHo+mj4syngceismulxPMfZw6x0HzA8f/rqHT5zPAcp12UZwLv4+xZ7scep7on/DTxTNsjhvgWBltVPCxg+BDkwye2joyWBTmrGxT0GXt95V1f2BIHE/UWX/gH3Nl/fOIl9TCHJ8tgjhl+Pf3Wg0IpAgeKLWc+BVy9VtPpY499vODK24jHoS2unTuw7SSDjxkjBE8BzdthNMdkQiG++RL0AODvBcaMJ+zuvT8fWPAE5IfWnXKQtgeR/D1rbAu9/t/GjgR2BJHX6j5cANx4/c23jKQJ1SrRqrctieJDHnNJn7DeP5og5Al/+oWgizZ5Ar5KDpiuAp4Q9fmHnQKDtJYcLNzxluOGqN15SjgR6fJ719Bng9k0C+8exK94uW1sLf49SNuQ5EWjje7uHPNkMb6QOjF84jef+X6ZtbsDzVYXeqjrjOdiV9LQBuPpzwdwl7LUS0rwCzxjeXqKZ0nAG7y9ZuRc9gP/7dPvGdRecE+QUX78Cnu6/PFjflUAXPXLZhZ+D95FOvLbhLIEeqMloeAEvMzwS0o39kfld5zfAmdzFb6W5EcgmnDNI9AXIaX957tm54759+2qUN/CyCzJFUucI5L97MvId/L3xsY5x7LEHrfzEchh+b23aTJ4HPpfgtyd8gO8UWxS46Emg8ULV7a3Al7F5Htp7nkB/72X/FM8FfUzzbwCTF74na0WeXwL+Rju1tAl7fX38sTbgeVFH5iMv4D0uknNaIo/ht5LX7TfyJlCe7O0rvsBdhwZucl/E+4Xrf0ttwINGqwe+Yt/PnXFOMh/McZHs3Rk+BPr8Q/GjL3Af9owkx0sE+tLQKtMOfFYm/a+sL+7DFp4ekgUMH519dHoKe7OfSLYv8KdjBZ+L/Qh07UdnZxvw/vBGw8uXCaQWmDwrUcjwY0e+tOz3J9DReacVvsBFin8YsgQQyEBMc1Ub8Cv7Wb68wz5aLzsvXsTwhbOCzjFXCPTridiAD3Cjsq3/zK4S6E6KdEkL8HMP9yYLXSMQh6NaoFgxw6NfaKkOY695b692ETi/qfbgk0CcY5+ljr8FnsO7L8otiEABlcQN0ZcM335py36lYPz+HZoiF4AXzrHN/8E+kF+Y+Rp4NNdASXUIgULkVfmFS0D9HnroHxJKoDr2T4GewCs2WRw8HIb3LMHQ3ibg7bx/ebnCCURJ6W8RKGX4u9wbk53Yixbknd2Bi7mwvEu9juvl1OY79cCDXru8sIsgUJ/crkqeMoZ3HilJkI4k0FZx+/cuwNV8vwVPYE/ekP25GjhfB/OlwhsEYn279sOGcoYvfVzy9L1JoCTum1VOwKtZ+zzVo3AurZdJLQduP5nqs+oWrvd7Iy7rKkA9su8Jfoc992KV/Cng+UPF8TG38XnxlwwWA4+e43h+PJpAyqbvw9ZUMrzp7f43wjG4P8+tFbUGfpU48n0Ee/Y7l6d5wCXeKnBnxxKI59H45pVVDDf9903LI45Al42i448Dn1jhd2lnPM7JaRZz2cCX2/cW/MXeZa6ruwR8OJ1rtj6BQOym1lHG1Qzn3c+tGpFIoErrO40PgTu+oUMMk3BfPfBv4jfwN3URXdzJONd9jVijV8Nw39xfW3uxy06q894DTvFtu5F5h0Bihpt4p4FXh2ybdE4hkEib3BrtWoaP+P4y256K88Be+4lE4N5XQ5rmsAs4NzeMAW8T6latTCOQj6TFzX114Dt/+V4YdBf3fw3+g7eBH1drVDp0D+fV6NU/h4BbdZwo40zH32dEOk65HsxrgQLtLuxr2S5JhgPf9qipMy2DQA7d80++AJf5E3/W/j7ub0I5wvINoA+niayRzSRQ2POE0CvAJwTtcH7C39k8f6ADuNayE0dLHhBo9exyeYlGhut3sC2/8pBAVQbXXbyBj/KdK9J+RCANdCC1GTiPfZgb+2MCucerVvM3gX6iaij/AfshSaePrsCLNr+eSn5CIKa6d1+rgNsW/ii3ySLQtJrrJ85X4DlujZFST3HudT9QawfcpF/bdgJ7q9SJe4XAlWPP7S3Kxnvonhfuq5oZfvk/LaHLzwgkEbBvx3Hgq6ermDWfEyi+YQ2ZBfxXYf/k6hd4Pg5xRy0ATxp7MNiOnX5uJ3XkNcMviaz9nJhDIK75ify7wO0GuDutc3G+Ta3Y/gP4sbKabsk8An10fpe+/w3Do1RXD45jf7lThDkW+LWJiYmCfLxnfS0yGwHec+rccr8CPL+2RN9VfsvwSOkbAhqFeG+dz+sKBf7ijbrq6iICfd/Ex9wNPLP7hnU79n3er0Rl3oHcMugWnlhMoKGWyu2+wBM8R19av8T9fGlxx1vg7oKT45IlBJobCJESbAF1dDZC6jv2l7rmHGeBK80VORWW4vvD6UNWAj+mfe65XxmBlNiH8zlaGb7528vfGuUE0tyYcu4k8I6LkbprKgjEsixDNBd4mR99rwM71+OfdcvaGB4Y1r6QVInz/GCymRFwZjlkZVOF809oVF8G8CPzig1S1bj/uH00mwb+LOj59knsXh6u9RrtDM82f3q/uIZAjqfNNsUCZ+GQ4Q+oxfNdNsFjGHjZDulE7ToCvYmVKVTsADnB/BHf2noC9V9aTwcBV+S+n/ER+3ixEedH4OzzfNtSGwgkJ0HJSLxnuFMSe92pRgKtSulU9gJuG+xjIdtEoHU/hZQagOsanfg9jf0fW7XExg8gD8QUp5S9IlBZaRmLPXCnnhCtwGaci7q5eguAO9Q1T+u+JhCzRuMD5o8MH+v2f8T1Bu8pHZ+sTYC7FGae/IzdykaLLRN4Ir1LOOMtgQ6/4Xo6Ddxi7d6h0+9wPqTV9mh8YviHwuzs7S0E2nDnXVU0cNsLob6/scsVlysNAr8z8ka/phXva3xr07Z3Mtwg6aJ0eBuB0u/V/roCPHRzJIthO76fEl+02oCHSa4Y5+kgkFCQWbBwF8NbZQc/9WO3TlItPgt8fbto4+P3BJJSD/5SAXx/Vm2p+wcCtR9TnmLrZni4fl3Bzo8E6i7Rn7cArme2qWAJ+6RGx88s4Jste1+++oTnRUfl8G/gP6dma291EqhY478Gnc8Mry9w7DDrItAtz+6EBOD9uxQIkW4ClauxnhgF/o7PZBmFvSj44QalL+D+TL4Ryf1MIFGxvMpA4HrGiVo+X3AOn5W16AC+uqfYTf0r3gu+cNMiX8F8l5S+y9pDoKY8zzNuwKNf0+/bsQceV++rAD5gM8+e3Iv7w/OrWmw9DJ8MOa5n20egjCilNHPgHB+WR8v0433/6wnqMfDmoV9fprA7eM5LzgEfNVDZUjaA96wdHMe0ehl+sqgiIHAQ70cLST4xwM+/uN59aIhApc9Sbg4Av9WZsnPDMIFUJXnit/Yx3Ob1VMpX7PNa7LcuA38jFrHywQjOXd/8/N4AHw845eU6SqCvfxwtePsZLuJ7mVIiCKRg0CrrCHwm94PtX+yK7/InC4Cr1DgNNJIEsjP67xHTAKhTrZ32URT+DtVz+gbAj/Sofz9G433kl9lYKvCv4kF+ImMEMvu822cM+P7SRQ4Ku61O2u+dgww/q/rsce433D/FglxCgAdq39a+NE6gFXrj7e+B9/k8pvZ/J9Dzh5+lRYcYLnD+x+01E7iuufTOnwXO8sFZ7QN293NauWXAc3aun0qZxHnpYX0/yzDIw+rUE/sfBMqJecNkCvzSjTEH+SkC6fBbcN8H3lHOIz2HvUf4vNAkcH03t8mqaZw/g7h59o4wnF/re3nYDM4PMtrM14En98bcNJwl0N65pcFPwE9/tbLn+4n34rc6BWKjDD/Rp6c+hP3gDaGL7sCvh1lvyp4j0FvBQPkK4Mo+0SxevwjkbOPdyUqAPGw0Mr33N84DqgsepsCNik2HV/7Bf/c217L7wC/ojHS3Yr+iVXZ1Arj/46gPifN4L9szN6NKMvy9j8kHmwXcny2azMOA81grdMss4t+HyOZ/AC41v3loGntdxua/IhT4/Y8dU+V/8fePLVF1Ba4ybLIy5B/eX9DQmRLgay6GC+sv4f008sHNFTTIFQZte3mWkejliWWZhsDXc0rZDGCPTJp7mgrc2yoqPIuJRHclwh9SwMe+Mhd7LidRKVEUozQG7uH2UGoPM4leNVz1vAp8+N8G0ZUrSNT/gNZ6B9z2e/aJVuy7z06t5v3G8KF0vbuJK0m0Z0Vy7Sngc1WzIzarSORqOOiSA/zk9/vbt7CQyG/XW9YF4Jvem16bwa6ZaZZ0YJzhbhvYuypYSVR5MYw/BniFWYNC6GoScaRZ3uoFnq/tH22whkSB8x/npL+D7x+sPMfLRqKIi7OGXsAdy76dHMJevVCWVg088dbd1mx2EvW5yfSumWC4ebaexoW1JGotUV93DLhX0WyZGgeJEmqZlDKAT5jG72Jdh7+Dx9nD48CXlOTLO7Bn5Qab7pxkuOBCmUYKJz4Xp4PGgcDnDPe12XOR6NyV0v0twD368222rifRmYFucd4foG8Y8P/6hT37/OPfdsDXHPaMqd1AooNim2ueA9/oV7ojciOJrnwy9f0NPPX6RNfR/0hU5L1TSnMK5HBRzkBhbhJ5Tr5tugncdUxQgcLuKLPRvBu4S/SG0TweEjlzcPWJTTP8aM10mh8viS6E15ueBc4pVmqpzYff/5pczUvgtbYOwuv4SXR0RE9o+QzDm7bMjXZj77kjeVYPeL70mfz7AiTqvvUyJwH4MZaaIFdBEi09Zx4dAF7qOWeuIkSiHQNr1srOgnPhYVdeJkwiD65WqQvA/6QvbXyD/ZucvnI18BWVbX9iRbAL3VBe/ZPhMrx+w1aiJKLawqVNgEedXPZeahOJ/Ldqc6QBv61u3TiF/YxkHUEAf306trJcjEQx6cvyt8+BfBJ6tyxEnEQrbzCd8wV+/EBAhYEEib5/aBRtAL5oplDPJ0mi+/b6DWt/Mdzdubh1+P98S6qFGXAnGfb+55tJFLY+dzgdePsBhdmLUiQSWB15cgz4x3MSHBrSJNJZkG9V/A367bEROXYZEvF1Jm/zB273xN2wE/ur0LagJuDH/2v0Sd9CoqfzbW/W/WF45ZHhh2dkSbRfJHWFOfDPTK+7lORItH1ISeE+cMkhL44l7GoKKYbfgFvcG9V9LU8ii/k2O6V5hjuM8UXEbsV1LfvRyR+4hxdnm9U2EkkVPDnZBLxn4hWv9HYSuVzRP7RuAeQKNuQ0jX0koEnqOPALfl5lFQr4vqVz/U4HfnXKcX3YDhJJvt9eTgN/JvKfu5EiiR4zS3rsWATvU+LfLqBEonfik3x+wK+73VMhsLduul1UD3x01icjV5lErN9Ztdj/MvzpP1YuPxUS/fGyaDwKfA/SD9Heic8xK2R3GvAdZ3T+rdtFoopLkemjwO0UZ/y+YD/Q6Tov/w+ci77hvwe7SfTrxRYdb+jnrELcVUm0fLYxtAr44BE+LtU9JGqOR6Wrlhj+5E5gxoq9JKoLTurTBy7InqTShj0hr2MuAbij2fH25H0kYl87ztQPnFKoc7NXIxFbOLW0ednk//suo49c2xCJHm5o/uEGXN7lZukf7GszIj8WA+9QHndoUCdRyial7H/ATztNct/aj98/tM7rABPD3Yvj35lrkEipbqdCFPDUz72hEpoketAYN/AJeE9Yk/Yk9oXAL4FCyxlu7qO/ukwLf+fx1bwOwN3tvDqCtUmUNyOe/gx4xV+VuwYHSBQdKSMwC3zt8nh3fh0SHX8kcH0PM8PdpG5qj2LPUFmgA4GLbRYWzT1Ioi3bXu97A/xh8YElX10SvQ8MDeZawfAn0SuHtQ+RKFVCqeo4cKFz5m85D5Mol+XD2D3gkmz7S75iNxexX0MCFxMsz3qkR6IVJynBrSvB80803fM4QiLtMhuxC8AjQm3v7NXH91+ilb8C+DuTyGQWA5xDYhRWMa9ieH6ARtp77Bq/Ikd0gRfWhjxMM8TP1+krug08tMsk/7QR7lfeMr5dwDn9susVjXF/8HVTEGZhuLdT5Od/2H9qv/hqD5zn+PTMaxMSfWqlfbKBB7L2r48/SqI7q8VWTwO/rmSoYmOK+8Y3sxu7WBm+LUnLWvYYifJP31h+BXjBZFnEHHbjizUujcAjf+WV15rhucz+8xXbaoY7uUpP3ThOIm8hWR5j4NvYhGSPm+O+nX7KPAk4U3SUs7gFidZH3IvqA7673O/ZBPYDHf3FEmvA83WGZ0otce5ykXx/BvjRmXoUcoJEmQYeA7nAl/sL3ja0IpHW+YbBOeAv7n8bEbDGObBFpHMvG8Nfi21XI7HHmQRXBgJfKqdS8k/iHPh3OrEZuIr8xn/+Nvgca10dONgZHqacZ69ri/9u4rTkUeC6cVVtG+1IJHIh5HMycLbVe9AA9ljjzVf7gd82kSzIPkUiZqlOPsm1DO9SvCx70Z5EE3T8ozPAuc+oPdFwING/GMfNucAri8/IcDiSaI5PN/kncK8vSy8+Y6/xVltS5WA4b8LirodOOD9k6By/Crz+6clX507j949xeNAIvPGzlMVeZxJt3Z88vGYdwx+PmEyxnMF98vHwf4bAZW4O3fiAXadCe088cO3493L3XPC9vVRj8gW4XLVYxxlXEn3pOnpShJPhh1o6LqmcJRFTO7O1PfB9gX2bl7vhPmPZapAFfCRdp7sFe4xnkdIEcINxtqhkdxLFrytjV+Ri+BupLQcdzpGoRLa36yLwbu6MVQoe+D1rRBIqgCv7u79exL70KlCHaT3DPwjH3W72JFHLHpZxbeAD1WtPxJ3Hc4H7RVAE8GqJr7I2XiQaNvThaAPOsX5hSfYCnheE440NGxiepufa/Qt7ZofvXzPgAcnyRfXeJApmL7JNBT5TuS/h1kUSTUZzlw4Av3Qlxc/SB/eBE+nMkhsZ3pyp7SB1Cdedk8l+Z+BvfqiazGCXfrHd8znwB3K+2tW+JBKV3Z0wBfyl0PK9kX4kWvx89rnyfwyPj+hQMbtMIoXitpeXgK9TJZXF/XE/Lz9ZVAlcemb/7knsMqPCj5i4Gb7Jf0C9PAD3520cEdrAz96r1Qu7QqJDCVttrwOv3DRywuQqnnf/XZNtAT779oCHyDWcw7NW0Zw8DN/hSF3/hv24QU3yUeCtJa8evQzEe83ynH1JwI/eGH4VFESi3uoPH78Cj8xS/W4QTCKT4G0nRXgZ7vH5LbdgCN7f9ep77ICrjcZrUdjZuW8feQTcOiHRuzAU/93ehDwauE9x27OrYSSSS+9mledj+Jl1+0i9cDxPLY+ZnAN+2KVPku86rse1XNEFwJ3i8k+PYn+fv7puDvgB05KcvAh8z3X3E7v5wbn7TMz7R+J6aS/5exm4z2uTQ4du4L6k5cFaA3xyPZnGfRPfhwcuq5gFQA4RffxzCPvsxJNf2sDjK2OMcqJIZLRpS084cJXiJ3l+t0iUpPqj4C1wm07yv4O38f61ezGAQ5DhZmP6ARujcV4SNNhnBDy5qmdsADvvMD0RC/yLyG3L5zEk6opsie0EvvKrU/ulWJyHuRdk+YQYvr/STvdAHJ7XV8+/tAROxF5pWh+Pc8i7nSp3gUfJVer0Y6+dO/hkAPjSUf6W7AQStS97slZcGNyHr/HHfBJJ9Jc2dXQAHnZz64hWEt5f8k3yHwPXUx2+wJVMonPm96do4Lty89n6sI/2a0jIiYC8WpXy8OkdEn3WVjnkBlxbMU3zYgqul0j/U7nAO/qKRjVTcT7P4zs3Ddzy9kgkZxqJDEvZzimJgrzHI63Siz3k/tFT3sAfaV0ZybpLIl+3n7olwG+RVIL3PRIpC0+KzwNvbj91RDOdRAP5GlN7NjF8qn2ChTODRGXyU3n+wAdLwpt6sMvfXnCoBv7IfPv1rPt4H/lqt5ZJjOHhwSMG3pkkYlkv/UQD+Eq2B/yaD0j0QUlPJRh4e9VZet1DvEcfaH/ZCPyLh3pFD/YUnSI5FnGGa87xx2Y9wvW+ZzHuIHBX4cWz3o/xfJF49OM6cKJiSE/zCe7zKwrRW+ABD1q2cWbh79y3OZBdguFKT8q5e7GjwqWXR4AfSMlmevqURLLX0WAUcHGj1B/e2SSaOUn+bQPunXZjWPMZnpt7fq/lkmS46FG/L5zPSSQscp7LGLiKrtOnXuwf1pqzxgJnNzL4+PQFiVazZU9/AL5ZfUfXxRx8vvxn2jduZrjWN44+rVycc9QSM0yBn5AaobjySERdVnRMAJ78OvdXH/a5LiTcBfzU4/NrnuXjHHK08jWPFMNNE2Q3XSrAf/fns9PHge937dpzoJBEj6rXLSQBV1y6YLGhiERPXxJXPwM/K7nKfwB77uCOeT5php8uCs18XkwiTY2fjhbAP4XMtfi+xO/Tt/XVHeBpZ48u6pSQqKN0gP8r8H7Ne1v/KyVRwBc2OwEZhv/o/2Q/hH2Ddl6qJXBbvl93c8rwvfrX8SYF+Owrpt7L5STKZncf/wr8Uf2s8KEKEhl4XWcS3MLw5yOt9jyVJBLfI7bmBHBP5lsvRrDXO6quSgWe+FtxMa8Kz83F9z+/Av+VWnHkSjWJzjN/7xaQZXj6a6lMvRoSmV69nmMJvMfMa5GvFt/zS1mXUoDLbMowJ7HH/zyy8yvwfUvPygrrcN+Yv0jxy4E6fZcgElhPosYo6ZsWwB/aWoUbNJBoWamN5B3gl+4szQo24r53ZVPeZ+AbjC47jGEXHHPZzicP+rDN+88vm0j07J965nHgv+8vMw55heulIWN1EvDLsytbjZtxfWncOtUFXGX74BHR13i+X1uTx72V4W0K0R3fsauFbpw2Bb7p00bz8jckWmXxYnM8cI25MyPhb/GcZf6s/xG4r0fM+WPvSNQfGX9mwzaG64tHrJJowffqz8glY+AXKcO0KeztR5svRwMfThvdWd1KoqGH6ufbgZeJ6nTeaCMROatvtW47w831vXws2vE+e2hWVR/4sRWuwtIdeP96ocB+E7ifqHzzT+ziMqwdb4G3XC2+UP8e9+EGn+trFBgezMwiFf2BRFfDgpV1ga8PE+qx/oj308tyn8KAC479jpP7hOdstsfpJuCBbElG89jThU0nV+wAOeHNH67mThLt7ety1gQ+tlKoM76LRGMz813XgJelLbt7qptE/M7Vu2uAB3tkOit8JpGVzuZb/4DvtF2xewm7edL27r2KDJ/XE2Nv+UKirw79G/2Ab/lvcejOV3yfSxW1S4Fb37ldebqHREJ3tzr/An6ysi9FpRffB8GOq8pKDFc4Oeq/oo9ET9QFb5wHzm6beeo99nMbuCLzgNs84DmS3k+itnu5/pPAP63Zr+o2QCKzHwun5JVB3/YWlt07SKLidbP7XIA3Nr8QWTOE5zLrHbYs4OkjP3i6sesRE+8I4MeeDW94NIzfp2DmmoQKwzOWh27wGiGRrl/WFjvgZ990cmuMkohbl+vVPeD9xEchToJEitJyZr3ATfdcke7DziOx8IV/J/hu2R9VnpH4XA5eMT4O/BX/x4O+FJ4L6aWV8cAjzl62PkiTqHVXtuAH4INh7y5yj5GoUtDUnXMXOHf9+rgR7F7HS4qOAN/68GRR/jcSCfz+NBkBPNMj/fPVcRKNs+QINQPPSApmMvhOogNxWmjlboafX1ojLzRBooysxKMawOMjd5z4hv3m0SyrK8CLxeajSidx/snwtagA/uqpTWPYDxItpLEf/gN8ZLXDkukUiXYcs9mmogrm7OZV+ySmSeTQ5c1yHvgnQiNgGnveVqMPOcAXFPjra2bwd3b+ETMOvH0igu3WLJ6ncaYHZPaAOloRZ2b1E+81Vde+OwD3t1B6LDuH62vmQvh94BbdZ+b/YJ/ar8jTD/ybg4pR8y8SPX9Zliywl+HoW3x2wm8S+dit5TwOPMYwfLXDHzwfDeV844CfCGB3UZzHfou3ux24rtWmdqYF/P7yH2TW7mP43s7GXe3Ya3dbuesCN3j/+8HdRbzv1L58EgK8XbV049m/OA98HP5UC1znz8rwPf9IxHRtaO4vcLdfvf9WL5Fo/6dCNlU1kPNF1C91Yz83YLnRG3iLheyvR8soFJ7XzZkP/EbcXZ8LTBS6YybHNAF8zcukv5rLKdQ5aDYqgxjO9Zw3dD0zhcJOnqh0AJ5pK7R+EPvGAdXrGcB/Vj/MyFlBoQXP2YO9wC8W5CoFrKRQr1TEIq86w99K7Xurt4pC7hx/M48Cf8N6yEGAhUKhKvroNvAQjc7lY9g5cwNa3wJHtQOZJawU+i/ylhHLfvB3PU4fDFtNofKua80awHuR6w/TNRTa/+iYYgBwc75vKRJsFFrOsi6mFDjrt+FDM9i91zwbmQWO7pv+rWWnkGztVtntGgwPlUMFt9dSqH1PkoML8LSL91xPclBoSyQd+wj4ZY8LMlvXUUigRrx4ELgeaw29iP3eN513gpoMP7cl4PlbTgq1Cpt1mgEPaHrhdYeLQj1njD/GANd+a4ic11OIZ1C1qQV4s9Sptbs2UGg4husZqxb4v96O9K3aSKGm6K4QTeD8Dz8WfMJuOXnTJAD43wcKNx78h71S+b9S4PVl807nuSmUvLb9zQxw/86tOho8FGKetvLaqg3uOfVOhouXQumXB7icgfMOflg3gD2u+nhmJnCZPI0/L/goxNvySroPeIQuL+HPj+//y633eQ+AuZ9i0qknQCHj6Kh1JsBHE2deCwhSaOVZ6txN4OXbf9WMYT9gta/pFfAkM6vyUiFcL15R65brMNzjn0RpuDCFYpt69PYCP8dzpMxMhEJuDjIB3sBn4z5WbRalkK/9hcxc4DHOZU0/sQ921laMAecO/9vRsIlCRNu6NxIHGX5tOHUgVoxClJ3NW2vgK90Tp+3EKXQys7AmCfhG4XGWHRIUGniw9ul74HojyaJMkhTa4Ocaxq7L8KCie3vbsTfsfn/8APDmkEXLe5vxPZ9FwleBW+rmBLhJUUixprirFHjRbPGDfdK4vnJ3hszA519e38ouQyGX7vrN8odAnv9UM/8V+8sjJyocge/6WbMlewuFdCSWH0gHHtLOZe0rS6Gkc8X1n4FzWeXH6cpRCOn4Km84DObm7YxWXnkKTVTop+gB/2vTx0ZhdyWUfoYAd2tw0nu5lUJp3fKa1cA18vbeDt1GoYAnqiG/gTMLn+gy3U4hCZcT5Qp6DPdhatwkqUChauW40TPAk4293WexpwgNMz8AHsfqXlO/A9/zXYe4e4G/43+xMVaRQoV33ghyH2H416s7XO2UKLTC0oHHAPitHQtNCsoUKo0SWBUOfEyKRZJJBdfp4QmqBvhmc9PQduwRj/uq/wDPrxoZu7eTQiEl3yN26DN8m1GhsfsuXL9xgodcgPusrq9U202h1caufzOBJw6sk+NQpdAqlr4HPcA/tiWn9WKff+2p/p8BmDvtJ9c/30MhqzzZ9iPA83tsIi7vpVDdh9VHQ4ET31NW6u2jUJcOx7sq4Ef/rQsWUMN1IaG66xfwQ6wVK79h33M1KmmbIZj7q+5FlCEKWXuyf3cCvnrm5foIdQr1cRUppwP3er3yrvl+CvVfuO7ZDfxFcJicjAaFnhRFZHIaMZxNdG/Vb+zRVGnzQeA8iWImzZoU4tjMO3QVeOzo7m+JWhR6EfJosgT4eZZroU7aeA6KOE79AD70e05i5wHcb9ccJ6WNQZ8vvtO0SodC+tb+HTbARfe6uHRiJxW7cpKAHw5z2vDoIO579x0D24HXxEVVXdDF9VUvp8tqAs7Ftt9V+xCFjj/fskId+PVvx4X/O0yhi5dsCy4CH9o2/34E+yr198dygN+Sq4so1KPQdb6ACQJ4fH+OdvARXC/Cjr7CRxmuqFPHfFSfQjNOkfOmwDttfzeIG+Bz5Jh0uwlcYqvR9Rns1VtiuhqA/3r61rDekEJ8nReUFoFbdzkKxBpR6IpMSoiiKcPv5W+i7YwptEmN+e0Z4Nv2LpTuMMH9Sj5nxX3gFeenby4/ir8/Z/qOz8ClzVc5vMeet6zrKOcxkN/GlXHkoNBfHlMXHeDyW68Keh6j0Fd3Ae8A4NHCI4v7zSjELiZ7oQj4mSqbAa7jFDp9MOT0OPD7HD+bBrEPLm4xFDcDc5MzPTfPnEKXzYXkLID3NNikXbOg0Akfq8XbwF/Kq9w0ssS56/x4zSvgD/RErm46geeUw9tL/4DHiwt4T2E/7LywWfk4w58XSrvXWlHIIcm/2QW4znIdl2hrCrWtNbG+D/wHx4UzticptHvkMtUN3KU3z1XBBvdzlUXHdeYMzzm36MFkSyFtkfeftYGTb018O7BXlS6pXwbuPV0ckmGH569oaGo+8O+kRJzHKQqNujuOU8C5c1Mf7ren0J/ajO0iFgyf1Bcq43Kg0KUdu51NgWc3P+wYxP6+Rz4hEvjzTcrjeY64D/dcfVkLPM76zepAJwrtO6LY8gu4XLD9FuPTFHpw6ECXvCXow4nL9cWccZ7/UfbpFPD8tEyvaezvLGKak4Frpx64W3cG55aHLTltwNuTxt7EuOB5N342cuUJ8HeTo+btXCkko+dluQe4VaaCvOJZCj0fGBTxAJ5Z+d6O2Y1Cjk0vux8Bd5s4l/IBex3fr5Ae4I572boy3Smk+ytdar0Vw0+9SP/P6xzea/yKK3WAex3ebqblQaEz9bsO+gP/wl+astGTQsHfpF/lA18noTo8gv09Z7gqBbzELV++6DyFDhqa3ReyZnjZ8k1+IV4U+teU+M8YuAQV/Nb0AoX4Yw4ZhANHUr3Cm73xvGg9F1cJPLhZ+sIc9ow7bK3TwB9+dGxtuojfZ73gotRJ8PujCVsSfSj082imsBXwXUbF150uUehxwH3lGOAcHxu/7fTFueU5//5XwIOIekNWP7xfLLHvXwR+JCanpBv7zRhfZQUbhhsNholnXaaQXbC9sCPwF72Hoy/5U0h65u3CHeC50fNMhwIoxPo3r6UN+BeW2Av8VyikVsMTt8IW1N2hjeNj2Pks/+nvBl7l4O9QfhU/Z9zx31ng1061DEZewzkk2vj+fegGzLYnAvE9PFOn2gX8gLLwsFwQhe7HvXzFZsfwSFGh03+xF2xT1FUHvk9oabIlmELKFirVXsCv7qz3vRuCz1exTiYL+BO/06zuofi+fe4K7wW+f+57EgrD+6arTw/XKYazFhrLcYZT6MOahxIHgH+vja8bwO7y0drWFziPfLFl3nXs1KOYF8D7lhf8uhaB+5hjQMkQ8DbDyATjSHyOZ4n33Pagz0io7RK/gfu80MDgIeCnbrzpmcG+lOA6GgBcLGFbcMNNnDN/3+jNB77f0HVrfBTOCXYabwjgRq+vfHW4RaGEnzez+R0Yvp7TOVLlNoU62s9d0wfupyilxhJNodqN44cDgb/UKJ3pwv5wcBlbMXCxI8LPnsRQ6KNZbhUNXM/O1OlSLIWKEhcchRwZvhBtJXkojkKva4eZjYBvHlcm+OMplDXnHB8M/PfV3qxv2JeO3RIoAd5uY3KuIoFCt5lNE74B35+asPtmIoUUhCpWijgxnFPr0UrrJFy/DY3OxsCVna993JpMIW+B83UhwPsFpR4tYd+l0biuFLjruQTf9js4P1hUGo0DP3eh1SgjBc/T4BPhIqcZXrCvVdYzFT9/OLPAGLj81zhWzTQK2STGfQgBzmazidpwl0Jb67ZRJcDz+jzfjGC/FOI99Q14rnN4TtE9Cv1efmZS2Bl8nw22iaHp+H6eYBsyAr72x8I1swxcXwWWr4OBx3Idd5e+j899y4mHL4E3RHqd/IM9ZXit9xhwRU9D4zeZOLcv89wjdIbhWd1jOikPcP7MvP7TAPimDxrqrg8pFDRh+iAQ+KsLZnv2PaJQ+IpunSLg/z5K7eZ4jHMgC9cACdxiZcHufux5/MvP8rswPF3g997cJ3hPOflsQg94i9ycxrUsChnMczpcAb5W/9lh46cU8mRXaM8DXhfHZyaeTSGt0rXbR4AHcO9zmMX+UvxJMLcrw1fT/3k3PqNQqxtT60HgVmKZ1xOe4/tcyc/uB/xB9/A9pxc4byv+VHsOXF2sq2RXDp7jM9GO/cAb/rv8cXUu7m+bpgO5zjJ89nXH9Bfs5f3ccZrAX5t2bXiWh/uAMdOdC8DPtUfu9M/H/fNuftxj4NpGE1b6BXgvGJUN/gy8Z/JvqEghhbj03E6zuYEcXl+a/wO76pzv/n3Ao0ZFB2uL8P1hMVnnDvyt6471scV4z3rwqyMd+BrP79r2Lym0csr5+nvgX9caXVYuwc6VrbzCneHLzE8UrSqlEC1d0akM3N2VY6oLO6vVXVcn4Ia2jtuyyijU3GH8Kwn4guGpc77lFMrO/uL9BjiT6YrCwxUU0ly389sCcJGwg/OClRTaucn5qPw5hh9k2qY5gV17lWe+NfAHvcVR1VV4ng4br7wNPEKlv+d2NYVYetmP1AIP3PxY3q4G5yXejOvTwPWa115TrMW/L+csF/dgeLfK+q4VdTgH0icGjwI/eLNgWyd21tehiyHAfxA/Ih7X4z3oyi32l8AtT76mfBooxKvgw0UBV1+/V/dQI4VsV2iw8Xky/IbAwWcCTbhOhSf+6AK3Thzn+o5d8qF/ry9wtvvSvlWvKDRROVWUDXzD8YWRW804D0cdDuoBvq3zlLHtawqJ77uhvfY8+L9229bteEMhi8nCxX3AL92dVlrxFvfht01P3IBzivM8/YSd+Ved7j3gN0daNj1+R6HipKf9bcAzl3Gn+rTgvNcZcGaZF8N3xk/wHmql0IYu9bHtwO1qjiUJtFHoQs2UtS1wl/Qj/N+xq5XGNEcDbzd5f7eqHe+JpIRUHXC1P8OStzsoZHY+y3caeFLOtRzb9/j31zbVi10AOST+6R7FDxSqVI1aZgI85K3VmxUfcR9r+LEjCHin+x3LTuzrDhyyKAAeef/k5ONPFEokUryHgfsHPQu51EkhiRYibIM3wyt2XBU+3EWhEVG5KE3gYe2fSwW7KcS9+uz188CN/UvMJrBzPH96KRN4tbnA7+rPuP8oEdYfgD8IZUqJ/oLrvUl0N/NFcH8kz6if+or35QhLVkXgW48dpZR6KDT5OPGdHXDfPdUxq3opZK/TGRID/OZcFurGrnCbV6kO+K6sDZNZfXi+Pz3ZNQXc78JCul8/3oMqn7lv8mH4LX8b0yMDFKqZWvbXEHj38H52kUE8B92trlwFPvHmbuMP7K7W9XM5wNNMva/VDVFIilQ81Q+8/9ErFDeM9xGF3AaOSwwfHYxe5jiC57vjbgE14OxbPtbvHKXQjxftjmeB0/dvXl9NUOjIjouPU4HvO1dp9BV7Dt/W3rfAlxXbCT4ncR67OceyAPx40mU6gKKQ9csOqS2+DL+7Z02pIY33vuqavebArRvWRIqNUcirteFAOHBjM/+Ts9h71vZrvwTuwmer0vSNQnGPOFUJ4K+3Fa1LGsffudZC/D8/hldV+3xz/o77ZHgVkxbwdxNPX++ZoNBpiX2fPIE/GTr0dO0khSKrutIygO+pNbvZj93r6i3LduApue2eeT9wvo114FgC/l9XoUXQFM5LmyyL5S+D3GvJrG06TaHDRz1MTgD3OFWuIDWD+6Fp1mgE8D7uHtE/2DfqrzhbCtw/1X7921kKzZ0OokngUQJHV6X9xPO0TcqS25/hQeVZi25zOCc8m67VAr7igf1P9V94fsmMCp0HTiwG/Vj/m0Lq55a5ZwDfOrFqYgR7YbZ2URtwvvTx78V/8L1aWfzjL3CuPUo/wudxH84y3iQXAHIp2TNrsYDrpUZQxwJ4U+vogtwi7qsX/rMLB27Ep79yCfujmX2excCv/tjI1fEX9x+HxIsjwAv9d4tk/qNQ76yY5/orYG6OlW27sITnSMugrTrwZzZJGjrLaHSS/9MBN+DSazrM+JhoxLLqn2gqcGEue/dv2B+XW/14DXzknuH1yuU0snT8WfgLOPNg/MNbzDQ6ptDkJnkVzIulHQ22K2j0WadDyAS4s6TUqOJKGql84qm7CvxlgAfrqlU0+rQixfIF8HMqXFu7sSssPzH2FTiXz8pjT1lo9P63pdvqaww/5H7k6mVW/D4bU0kV4Is61DP91TRyuyp0zB743q2fvoquodGX04Ol0fA5+hvWzmB3/0Otrwae8jFDvZGNRpzWyrbjwDu/X/FOZKfRy7pXD/gCGd7a9OyF81r8HJOM3gPAb92Qovdw0Mhobz2bF/AjrpOSHOtoFJW1dVsGcM9YZocB7HavRnRagd/ZdupRPieNxOsI0wX4fLe1Y8FcNFJsUjaXDmK4fgDTdrP1NFq57IORKfDlN9V8ZDbQSCK1GgUCX/O6vm4Bu/SrRbEc4LM2t9e1bqRRxfPIha/ArwZlWqf/R6N7l8++Zg0Gff7kYo4nN41SbTJvKAN3k7jDrM1Do/jQrdp2wDWYLpvz8NLIX4BzJgr4PcmMPBq7mZ5uQjlwlVpW9go+Gu068HUrBfwbc/7pKH4a6aq8qtgYwvAPQqmvbARoVKvLob4fuBJqklYUpNG353klZ4EHJW27sVIIf+fb+ZvvAHey6Jrqwv5JaH1EE/DSogrzp8I0CgzuGJoGHvC1r/6yCI3Kpqa2i4QyfHJx73YDURqJxnp5HQbuc7jz7qZNNLJPsHh+EXjO76x1s9j1ZR5+zQRuq/IysEmMRoWXTJfagIeq/P2VJE4jvyJX3kXgh2X93F0kaJS+ZnyzdBiYpzrb6X2SNJJ5/HHLUeAmFQIOnJtppFwqJXEVeH/l3uEh7BNuxPpnwNMCYk4VSdEobo7rVxfwxwqCRJg0jS4GZLczh4P7uebzGQsZGs0qFd7bBpxzb/OU3BYaXTsob28J/M485buE/R7JIxwGvOWS6qr3sjQaUr/Qkg+86Ht57AM5Gk0GHvDsAx4X4Sp+UZ5Gl3tusK+5zvDPwYeLdLfSyPCybqoycEmu47qC22ikFe2/yRa4jn10/wT2/Ye2pN4AjgrmLtZup5FmpyF7CXA1xbD1cQo0Mraf9hgG/ohPI8dxB41uiHO2cEQwnCV1s/5uRXxPNLOFVIGL/1CcZFOi0cHphlMOwMcOO8f0YT9mY33vNvAro40785Rp9KTCp70cuOLMwf4gFRrlqPz3iwAemj0Vfmwnrou/ShvWRzJcTrtaSWYXjX7s/yyxDzjLr9yhBex2O5jlTgOX/N0Y07qbRtP/CqRjgb+58lcrQ5VGjl3j/FXAnRuP/Tm/h0bR314sp4HfX9aRc2AvjSxcFvo33GD4QWeX03z7aFQc+iFfDbjFTknxcezPzu7ycwa+NvNvf5Ua7ieGsrvjgFeNzNyNRjT6av18vAo4szKLjb06jc69ro6ngSe/UxHfuR//vzWnlDbeZPj5kWvUag0asXrdaVYDnltE5vRgb93oYOwM/MElp0s5mjSS/9DQEQv8rfMy7UAtGuX1lx2oAt5dnbfeVJtGP88czKOAZxX5DkkdoNH9h25cG6IYbhBiUTiP3admq9M+4KzOhuEtOjRC49fznYBrplhapx/Ec9z82kw08HvH/FTO6+L3VOXeUgF87NMLzgOHaLSnSvcYAVz86M9x3sN4bvII+XDeYrgXu/7bb9jfXoi+pQpcTbUku0qPRglsT1LtgbPxKUZFH6FR/mq7e1HAk0cqPe31aXQ2oyaxBPj7bjPznQa4b69oDBmCrrBMY40hrt9T55zZbzN8WLZYrhf7kR/1GirArzFf4ss1wufVU8NlA9zkpw5rkDHuzxanO68DV1IT+2NqgufjnfLbBcDlBFjGpY/SKLGtXL0XuOfrnwML2Ou3nCFWRYP5GPq9q9WURgJ9r65tB15y63t7xjEaxQp0rrcAvkH851svMxqJ/ZeQHAT8YgDza53jOOcssnI/B75qgKeZ3xyf74rt4Z3AuUMVXn/Hfugk+48l4DI5Bu9qLGjkonbviEwMw6eTPTpiLWkU+ZFONwZuEpLQ7XiCRiuOfqf9gJ/IrRzcbUUj7cmn0g+BH7EgxtmtadTcLW7VCjyhbt18P3ZBTfOwX8A/Su9eXXCSRt02eo9FYxne9c6WP9SGRln2/yp0gSdPhMub2+LzvXau2RP4gdbnGnJ2NIqgM1+nAN/zrM18Cfue9uSaBuD/mr97vj9Fo8OnTZ5/B37EgSXqoT2u05GOW9xxIEfVCWT7OOC68+E+jYAbiW55c9gRz+tjYiqngTvUKnwTdqLR7fy5P7eBVxAKHNPY91fHFZQC/9Mho9h4mkYcuX/thoD/aOC1SHKmkV7JDla2eIZnMP0LdDlDIxs25UxF4Gpvup+rudCoumel0gngErZPvnC50mj85KOyYOCjrK6rR7H7NvPsfA5cdYW4aslZGq0+ZJn1Cfj6hHeukW44t/B6cv0DHsJ0OsPaHfdJJyv3zQkgV1yf7VI4h/2McL0+8ERPD86VHjifmBazXwR+dKn3UDf2kyc2690DTp/fHZbtifthgfu1V8BtNgY1BpynEdOt2GeTwEmJspXGXjRKEott4Ulk+CDdqyN5AZ/LffcRBLz/8ffI39jFNbdMOQFPz6Q63nrTKGVXw8wt4JxirXz3LuLv8FJt/CXwI6fTTnn64PecufOlHz6n3DRH+xKN1ol9qWJJArnUdm6R15dGvBf/Jm0DnnYvQG8cu5HUKmcz4A3l39Oq/fDcdPq59QrwfwsaUzGXaUS5vBt7BNz/kf8BR3+81zjfSG0FnsmUlrY7gEZ34lW05oAvmaTPsV+hkavEu0GhZIYbj4QaDWDnO6x/QRt4yB+DFwVX8V6gVvXPFXjxl3n2sGs0Wq4kFBAHXL4t9KxFIL63Nq4z5cBPCc+0yQfRqP/3M+th4IvrkBJTMM4DOwaq19xhePs35zsfsUtrsvDsAN77x3P5kxAahZ8UtzcHfjzQ3NUvFO8XlcqPrwK/2yLYrR9Go+xoNPAY+B6JCm2xcBqdWK+xrg34RKtK0U/sPV5qSnPA73Hf2Pz6Oo0aJ5QNhFIYbq9VnpwagfeUIhkbLeBhGfUc5yJxPlzid3IB7nPxQYjmDZzTmNjsY4D3rLP6x32TRkXT88dKgV8rHPcZw97CMo4GgDvlGP+sjKLR5ov9wiypDC89FHU++haN6rw7Z+SBf2i/O2N/m0a5e99XHQW+90bQhV3R+N4ufbjiBzz71Z4/bDG4rmd7VO4DZ25tCujH/tloYrgZuNmY+KqCWDwX9FeHTQInnYxvhcbRSG7TNlHuNIZvijHit4jHc2rJJmcv8PuFoo/lE2j0SyRd6RRwBYFqZaZEGh0t/Z5zHXgzl1zTR+zrlh/elAs8csTx+JMkGjVtLw3vBN7a7zbul4z36Mu7iUXgXIaagQZ3aDTK37Jb/C74fwOH+cRTaNSheSFIF3hgnX7BHPYKecV6d+Dx1sH6b1Lxua9j/RMP3Dsz6FtaGo12iP6UqAAe0Xc4wuMuzr0JCweGgDtY9WzRvkcj9qeCJ1nvMfzVWaUW3nT83aLNz24FnmZl4jGOfSaowOMo8BV+u3hqMmjUVyLr6gtcZ+NwVex9Grk71Z9IB95z0fi0UyaNFpv8NJuAO82GbNjzAO9rHMdEx4GXd1+u4XiI90dvkxmudJB7z6u4D2GPUr5QsRP4t435IsWPcH8LqvCzAm7ANtlx/TGNbiVuUQgCHvFoPMTqCY26smp6ngA3UXm6RyGLRiNTVwJagd9cIzWz4imNvB47c88CP3je7lk3dsvlVx7wZTC8tsbS6Vk2jbxVa6URcHvN9RJXn9HoaZhCpj3w14dDhkye4zy/qWNDBPDiLYX3pV7g/2t/hm8OcAGFu/YL2L8JZXZ9BC6UqyHdloNz9WTXlnngK/+kf7+fi/vepLqXyH3wfaxKCr3zaLT3aH+BFvAHW8P9D+Xj/dSskHYG3l217qBwAc4J22v/uwV8/KT+xmnsNC/LrkLgXPaaQ42FNFI/GGb4Gfh9oYm85CKcw39pnPwHXKb/SNDZYrzvW++xF89kuNWC7bH9L/E+WOxx8iBw0UYZ2f9KcE7eRRqeBR586wETjb1DIG1XDPBXzzs+V5TS6OKdOO6XwI3O5xbcLqNR73jr2FfglYrqt+zLcd8+fKRo2QNQ7xpXXXdV4Hn0g9NbEvjFWffD7JU0stogIH8I+IdUDrkB7J+/u35xA65w25KjsArftxKWgFjgq8SPTYdV4/n4fJynBPifrL9dljW4760UetIDvOeSUfW2Wryn/E7eyvSQ4c9IwyfMdXi+1NpnSwJPPLgQ04XdPjlA+BDwmSmDK9n1NFpbSoW5AT+wW//slQacuywekDHANb1+njBppJFicf6+l8Abf2vpSzXhfW3VfxFfgX8R3Lt/AfvukHfvloCXq3xRbntFozMuX1ZKPAJ9OFVYLrOZRj+mkfJB4AkPWSUuvqZRmOk/C1fgQ48ThQ6/odHcO+6Lt+Hv59/wirzF/Tw24nohfP5sxn8z2IsGLWK6gVd+F9j46h2NOqfDoxeBj+zdtTGlhUbOy7jDRB8z/PPuuf/cW3Ee1mI+rwXcaa8pn2Yb3l/+GJmeBh6YelSYp51GbseZt94Afjh/RuIb9rRU3r85wDd0KshXd9CIXIqp+wDcxIZjZ+x73A8rzgf8Ap6fFa7h9IFGY+wV2wWegD7Alm6w5yONzGXPflYDfrjXxHrdJxodNA73sQOecynTbRi7QgUHRyjwyN1RV1924nybyXQnC7i994a4yC4a/adpJ9gCfOz6jqyT3TTS+KQQ/wP4QstYteJnGr2L81ixMYvhGal7ulm+4L2+QuzMTuCchhLTX7GToQeaLIBnazxYm/uVRmzb+ngDgC9vK9sS3EOj8skx2wzgbw2cdI/34rpmdstoAD4lkuUs10cjp0enu0jgQXeuRC7rx/vF+h5mtqegz/OPvfiI/X3g681bgXMvkh+eDOD5uGOHuhFw3js+85cHafTYisfQC3iEYYqY0RCuRzXfY4nALf0M9CSHaXSM84RJGfCH3nEX/2B/xVF1oBf4i7vOD1pGaLThQsb2ZdlgPhq0vs8Yxf0kgIVLHPhvona5N4HvueMUqQ08vUZT6RBJI+RsU3Qa+JfdJk7CFI2sa00vRQJvzplMmcbe+vS94gvgJVd43zfRNJK17R5pBy7O0rI6ZQz3E9HTN2aA52aya7p/o1GAeNAW7mcM31bQ6a85TqPpR1uqdwFPi91SxvOdRseJk4csgUtksvz+hj1KSOKdP3A+9bM7ayZodCXcRysd+EKzhU/cJI02nbIuqAN+IbWt7PQPPC/oTt5R4LZ8b//tncK5wmzYi+U5w2vu6mlxTdMokA5+JQO8IdIkchS779cKTj3g9aj/Q+kMjZ443zB0A67DPykUNUsj3fbZ0NvAl3wDne1+4vtz+FdBPvDXtUnFKnN4H+SN/x8T9h3P5dfGATx7FippyCiRVZGSUYeIzLJDCfVDVEjKyMhIRjIjkYwiIbNQRhQpKaGMZIbugQaR9Zznr65/36/79XXf51znOp/L5w7gBYZyLFx/vqNl9/c/ZoAPXNUz68fenJjDuKHwn9c/G31QOvsd0bVCnCrA+44z/g2b+45+y+xlPwF89FWa4fG/ODdumFzwh79jUZG9ax7v1wvd8XvAfT2MFpgXvqNdp3Tf1APX93Ey68b+WWkycwR40ruFxwWLOC8FKV9gfQzyRutK7qCl78jDR3bfduBsAylnzJfxfGHT/FsH+Fv7rNdSKwik78yT6wJct1Jcchm77JcVxjeA1x8Si2xnINCDqbs/C4GnON+ZyGEk0LMRIvwDcLuISJMrTAQKmP4m8BN4L9vvyqPMBOK0jU1dUwTe/1CH6DYWAoXbTQjsAZ6XIx05h11WcSncHLhpzNz0O1YC7RGq/3kZuPmp/faZbAQiTFSMbwPXCJl5f4mdQNn8LrlVwPvMxZAeB4Ea7hlP9wJfhRofC3MSqEz+175F4JP3ekV/Y59iN/QQKv7nNQOnEl9zEWjW9nQ2Ak7b23CmcRPouJdiiy1w7qg3ge4rCVQe9Zq4CnykLmf20CoCPepdvyIL+EmHafeNPASiMiW5XwJPHCyhJrAriCys+gb8TVK/UwMvgXRjY9lZS/65y4TPaBIfgRgVyFlx4Gv0Qv47u5pA+7Q4B7SBB62Z/6a2hkCfWKaqnYDnFHx15F9LoNaitLhw4OkBO8jv2EVD19rkAX84+d21hp9AXXVmIm+B7znNOxO3jkDsmfbdJPBejQw/RwECtTuohnOXgrqavsOqup5ApwxGdsoCL+9fjuHdgPcl3vqdAfCpMy2C37BXeWXZnQduOr8ir3IjgXiVq6lo4EfnU/dFbyKQ1rq884+BB7Slv7YXJFC9nsvYe+CZ39itFDfjv7ue0WIKeE76Z4pLiEA6z12rectAPTtyXR3AfvRi+UY54OP3s9aVCxMoIaDjvBHw9vr0gnARAhUKtla6A2eQWD5kI0ogzYis+Vjge1Re9MtvIRAzm7lCCXBrp28+bFvx+W0bPfUReISAi8AX7D+2W0T8BM5UYlReJEagUr3cnNXl/1whI9k0dBuBmr16n8kDLzZE05biBOKf/NFoDFxZ7FDSDgkCXaep1xeAV0U+VGbaTiCR0ncv4oBrT7r0f8b+1T+xuAS4SGVkaL4kgT7ePJT8EXi+CbvsVSkCbdjW7/kTeKDkYKeZNIF6/E7prn4C1uE+f6CUDIHUu9v55YFvlb8vvYw98pJclxFwQvlmV7ssgRYT/GLdgU9ItV/L3UGgcY9K9Vjgcefc9vrtxH3GeHS8CLjTeYcxo10ESnZjCfsAXOp22W1xOXx+V64XnAL+3NLKYB77D0fhXJ6n/1xW0ILxgzyBTOoEpXcCL9PPq8jeTSDSjO++IfByCxM3bwX8vNMS/3nglQ+NJA33EGiH4je/G8C9H2cPb9lLIEnGpi/5wNs79dL/YF/BcV++BfjHcK3jLYoE8ogMDCCBP9yXsDFjH4FMm60aOCv++ZMjCj2eSgTyYtyzJAk8QFX8jq4yPl+XeHfpwOfPnjkhrIL7icPEMSfgioaLIr+xX+f94BUGnOnI4LfXqgRaKH9y8wFwvb61+Wn7CRR2KyvtFXBHxySPCwcIdOBnUuYI8C5rJ1VtRKBDHIl3mSr/uY5kGKugGr4vNqXGbgF+88CvtinsE2cKfdWB53Hm332lTiBWhXfHbYHXLhSdTTlIIOOqOYUA4FtDGFRdNQgktn8P813gR3jTuDU1CdS3EPjmOXCCN/jr+kMEGlb6GtYLf3+6pJjGnqtgqPoXePMOmWv1WgTKkf04tr7qn2+XmbBO0iaQw38uEYrAJWxm5c8exvsruEnMHLjSHl0udR0CucQPlV0EviA6PMKvi+uWs0E1Hvi+xPpaAntxQ/WzYuBflsfu1OoRyHGpXe4DcMZ2Y+8EfQK9n2dNnwBOBzAeO2OA+/mCBdPKZ/+c02tG8YAhgebVX9tIA6dldmxYcwS/P7dlsQ5wM96H82PYudO45h2BSyU49D8/SqCnCoMq14D7Szm8jDUi0IW1vR7ZwCMP5eQ5GBPosN/fzHrgpRaScSomuH6K1JoHgIe0kz68prgOJwpHl4CXS0+c/oZdzltrXvD5P9/SvvNolRl+/1h2NhXgn1SLVG+aEyjEa4bDEvhy73mp0xa4z7vyMV8GPrvVZYPSMQJJVFhNJwDXup7NscqSQMfi2/tKgCdc2Tg/hD3toF/1B+BPLrbQT60IZMVmmTABPG+kcjDKGtf5Vid77up/nqw29MnuOIE2fn4kIQX8/YLmu70nCCT837YRbeCvbwy+5LIh0L1Vn5L+Ay7m9LR6ALsyf+3BYOCFKxqflp8k0I2qwZF7wK1buEsjbAmkrYb8a4BrqEU+PmlHIMHxrlVfgBe0qRUo2BPo3a/Ht+aAs83I5HOcItCW+6/4BWpAzt9yJP8rdmr/pigF4JytDwpKT+N8u6Jkzgi41bndRdf/I9BJ2UgbV+Djl36XnnDAuYgttyoKOGH7vULekUDubRyr8oC/yuCrZXMi0PaW4mNNwFcUnW38gp1bOSNlBPhRxr+txWdwfj7R3c5QC/oVT2XXNWcC5V+2ZhYG3mD4cNjahUAFb7fLqALnV3wzuessgU7fOahnCbwPbVpkOUcgDsk8u0vAkwbucPVi//rE1jUe+PcYvU1F53GdhzleLAKe+VpSJtQV1+GXWrd3wJ8u7zlg5Ybzz6zzaQK4bqGr0U53AmUIOR9hqwP5U//Tf8wXCHQ3pkZODPh2kzO+3dhFY89wqQO/orw9rtAD/7792S8ngB/3XZ0XfBHnDe3X2T7Ai6IlGo55EmhrsP/pJODhtEOf7CUCIYuYTWXAt/B9mGW8TKAPrMvNH4D3XLDn78J+reOtKw18f9Tm3QVeuD6ZZrk5X/zzv59WGAd54/XpDMkQB062cF2w8CEQU7SHrAZw/vH98TK+BPrj+qroJPB7mbfKGa4QaFWNr/QV4F8v8Xd/wr77WVJaMnDd/srFR34EMs/byFYO/Jp58Nar/rg+W1mc2oBbW7jrmgfge9nZqo4GXnM8+IJ0IIGyXmzg5awH532w4s6KqzinrTtkIQ78uR1fYyd23YK+xIPAGY9F/cgLwnnv9chbG+CyapJCgcEEupxnPecDfDZxTM8shEB3kjSEkoBrdjb6SIUSqOljmnIpcEGfxrxl7FrpLobvgReuGO3tuEagM2qFliTwY9/EVuWFESh6zuE4WwOo/+wg9YDrOA+vSjLfClzg2ZKnaTiB3F6gwwj4g/vJjyQjCLTGwl7OGvj+wSNDS9ivrF6x+jLwRWLrxo5IvF+KG4k44DJqa00eRhHoNXtJZSFwFRuRG/43CNT55nXgG+B19dqvTaLxvVl3Eo0C9yHDmSVv4lyxw2ua4eU/NzAfVV/Crn5sTdZm4DpXjwe2x+A6D5Q/rAQ8kyBrc2MJZEZ9GjEF/oQ3YYV/HN6XrwzebsDZL5geNIknkPedMuYo4Jo3ZEK3J+B502EqLAe4yuCm5kXsfiFPGBuAk5ToqvZEnDP3sXt+BX5x5wHT3FsEetI4+nUOuNB2tzt+STiHe5io8b/65zbmT4eNkwm0fPXI7V3AXyutkd1+m0Diil++6wEXNA6+vIj95ae/co7ADwqzNXxMIdBcdr57EHBt0bs8uXfw/PjtZ24acNsu7RN+qQT60tf6uQL495dM+cZp+Hc+qC+1A3d0bJuXuEugcCYDwUngwWpF+ovYeyp/yHE2/nPetvS7H9Nx7t0nh7YBZ09J/5Fzj0BrG7g11YBfF3x8yC+DQC/uhqpZA+/pfpdinIlzHU+awiXgLibzUxJZBDpuZSoSC/wjp+LhRez7G/KZ8oE3Xw289zGbQL3ROV8bge9R/jyXc59AjQxaxYPARZ8om/o9wPOybbjvAvDqy3mPjXMINDJ5Yb9A0z+3ZxDn3p5LIJvfTH/kgEd35p9ZxF5csj9XHzhx6cDrjw8JFO8qauQIHDn1SOTm4fdxLfpxFXioTOB1v0cE4pklw1OBd2jtJIzzCaRh0LnhKfBzymP62wsItKfsXEYb8OqInKJF7K/dn4hQwPWeufK3F+LvelOUxPr6n3ceQb65j/F5YbZhFQUu18I/5FdEoKBTtWdVgDuW/dQxKcbzkcynN2bA06M6S7aX4Nx+P0vEDbhEd7XgEna3NZLnI4BfEXoU1l5KoFtVjqXZwPcOpv7KLSNQ4IDtVA3wzQ/ibP3LCWT5hn9bN/CNPyNbTZ4QyLA6zOgXcKR7fb/kUwKlLj31XNn8z1/uDitYwh7QnhMrAZxd4bpQRwWBDl49dl8deMyHiJiHlQTaa/C2yBo4281opoAqvO9XGMo8gaPpuMumz3AfNlsovAl8V3gSJfkc7/um6oyHwGc/3LFfxq607lBUA/CvxundHdW4f4Ynnu8Drp+YYZRXg+vh+ePDf4C3C2W+Cagl0MDPhI18b8C9dumeplkdgfQ8tEakgO/dklor9QLfg8Gv7msC//0wQWVFPYHGHdectAEemxBe0Ynd1lGO1wu4zRmfvY8aCLSzSaQyFnj7Y4fywJcEYn83ZPkIePSkwR7zVzg31nj9fAn8aNHOJ9KNuF8NDgd9Bc7sw7WPoYlATle2cc0Cr+wYqPqEfWvHgUi+t+AePPz4QP5rAn3fIcckDVzc5lLD1WYCpX9cvKAJvDJtj47FG/z+LA96TgDniKHey7wlUCS3tPJl4N+qUywYW/C+74iOjQF+oAgNfMaeXvxh4CHwnVM9Zwre4XXr/SXRAHyW9ezvoFYCMf+cdfgCfMnvZ8Cx93juVhlMmwb+7us57h0f/j/nFrSsagE5rbTvNlMbnqMDbX9JAC8MUd/ejX2E7S+fOvBbfclPCz8SiK3Xd7sVcFp7WDukHdet2theD+BLBiLdlh0EMvDbvz8K+B6fIy47OwnE2B2gch+4pIXbEvMnAoXefixXAzzWNSiuB/tellbhz8ANDEMlij7j+dT+C8sUcDt/r+rQLgI9+tM7zP4O5NgIa1Prbvw+XK2VosAdlmWpXT0E6hguDVMGvslxMoS1l0C1TdEGJsCfGKQLfcF+a/Ek11ng0wf2VxZ/wfX/dvuLEOAvGl+bhvUR6Ig3cT4NuLi7+o/jX/Fco/9g7RPgJm8eRMv3E+h95ImSVuD3bGZl2AfwHOrPd3gMeETVnpY+7FbODZ3LwIudbc6WDhKIuHXRen3rP++fd18ZPoTPka549y7gC39dH9sM45zZ0m2oA1xo2sJYYQTnBPuY53bAvS9LznB8w/O1md4WH+BneEZS+rE3fOcKjAPuoRumVj6K19mxvTMPuOqT1WMRY//vY1lbG4BHD4RG244TaFTlyple4CcsBvbu/U6gT8K2Ob+A1+aKDnAReB7kONrH9f6fT9rrRAxiv3HAgEsM+JG1FnuekgQ6x2YppwrcTk93MIrCOSrv4hFT4B23tkTb0wR67Jrx31ngXqH9KvsmCGSaNuARAlztQSCxchLPoT67fVKBa11nSRnGfvXIHa8y4G+rzulWThHIx36DawtwuXcV89E/CMQyX3hiBDjLkdGC0z/xHGR7QnMBfu/7aVvlX/ic9mzbuvbDP3/VP7qW9zeBRB5z/JUGHrCqsvkb9o0SnM0awJUpl4Bn0wSyCN8eYw18D8fyntgZfI9sdjjiAbxn2p12+IPrXOolayTwooMv76vOEujnH40nmcCdA6dtVs8RqOjd6Ikq4F8Qy4Zx7Fy/ChbbgC/x/Wqv/kug2Mcpid+BT4TV3Iyfx/WgW7iNoe2fT8k76p9ZIJAnN1GwHvjZbIoDLRKIT/XIjl3AiXOGr9cu4fcX7X+gDVxENCqMwN7PdEfgJPCBI/e165ZxzpcOCbwEXDzqNvutFSTq6L8zeAP4SienNy4MJKp0Gla+D7zHk++GOiOJJlYej3oOfFo74agAE4k0Bdg+tcP3dJtaS2NPbPkmQAJ3DN7WU89Momeec0aMH/+5xurd95JZSJRqpRGyAfilovWO51lJtKXhZeEu4EI/OndospFI/Y9/mzZwX0fnPxvYSTR1wIOyAf7nQWfdJPYdQ5nLnsA3aghEvuIg0QpJHq4bwBPf7zC/w0kiD+vKVdnAlQY2bXHnIlHSi0zOZ8CX2L9OaHGTKDyrZakN+HLfxeeCK0nkoLOPHAce8Ks/4id2s/nR98vA+/qErF6vIlEQQ0/+unZw78vJSd3lweuQvTpIFnho8Lp5D14SnZWOO6IJXMeptUWHj0SZ/Zb81sDHLh5LF15N4v7j0u4O3PtA2YVp7FOTjeHXgStbDWq9XUOih1/O70sHfuNE/6aMtSSKFjjdXw78d1/Bj0v8eD2/5/i3AN/grv9afx2JTt9WWTcM/E1+VfoWARJJuIs8mAM+LT57eRZ7bYXFDt4OcF94Mhu1rsffVTFUKA5cYWe/VPYGEplW1kvsB973PYzFZyOJjjHNJZsAl1ZdGjiyiUT7+68xOgOvf65evU0Q123iudOBwB0ZjVPmsc+dL6y5BZwre4dX22YSsZfp8hUAr9j32TxHiERnCjSONwC/b6G310+YRI1ZKTgA/3OJ5Ih1JiIkau8/2jsJ/Glswp/toiTSyXPkYe0E9dzr1L2EfVRvQEUQ+INVbM87tpDIdeVzW3ngD1+cT8/bSqLHigt+h4Fz3kgPDhQj0eU1mfE2wH+z33Yy30aitO+FGReBV7yzMpQRJxEjk1huBPAWjxEFRgkSXc9lzLkH/GX8HsEu7Ou26t99AvxEowFz4XYS3XvGEN0C3D1bhg6WJNGmZ2KXhoCzNLV9spQiUbDzE/NZ4AeaVF/slCZR1+qKnas+/fNTB87ls8iQaNuiFIMY8IFX9sm92L0u8L5VAq75RzC0WJZEI8/O3DgC/ODZOxfCdpAodMu+w/8BL6jpsz2xk0Q+k1fmfYAHXR8+snsXiQgXpZwY4N2n8hGHHIkYBs/rPQD+i1Dc1Y/9Z5LQ+DPgeypCRcvlSTTdrePXBnyLQ+KayN0k0p76wTkGv/emA6udAolkxdbHLgB/1To7t3cPiX7VVPOs/vzPFWv1Jrj3kmiMY+SaBPC38zbDQ9htDaNmVIE/EZbvrlDE90LnUxtj4MaNL99H7yORyXfHWkfgGyLXNZ1Wwn3yY9p6P+APOSRqlZXx+/RYOccBb+ybfsqrgvdR715ZDvCjWUHFo9jrz7v+eQ7cdKbl0XNV/L03muU/Ap+90PEgbj+uq6nHDmPAI8qTM50OkCh7aGv8AnBvqw3pBxCJ3uSLV/B1/fPjS2apa9VIlJtc2SkOfGi/YQqBvWeyj1QB/r2c4XadOj4XCwl/jwJ3ZnJLvnWQRE2sAwwOwEMakpPPapCo07KOwRe4Z7zv7YOaJBo6oPj3JvAs3vV31h8iUcbyITIbeHzXubQJ7J3f6I5K4FPXr9x7qUUiNZVdT1uBB9VqZKdokyhfZ1XcMHDFjQ25bodJ9N0q/L9Z4FsU/xZo6ZCouSJTbmU3eM+y8VJBXRJtL7CeEQV+bVd01U/s41fLS/cCb9EhXrzWIxEVWHxGD/jI3YXmu/okEv59dL0t8OutLz9eNCCR57bE2ovAUy4f/KJrSKJBm4CT4cAFlTxHRY6QyI7gnU0DLldy/McM9hk+vfAS4MJBswstR0l0X3jnmibgJocPc2QZkcj/RE1iL3DzbL113sYkiuP/yzsF/NMeRrEjJiT6GzscwtzzzzNTXeS3mZLoveCVH+uBP/YKU5/HvnfFK3NZ4LzOZkZtZiSyuFZbpg58kbfTLsccf9fcWS5z4C0rWT38LEgUktVq5Qx8YcV4iMkx/D6t3zL9gW+P9EmStMT9p7F0OA44n0F13jL23o9Km3OAJ409rum0ItFH5H3kGfC6eaP2R9Yk2mPh4fMeeJFU1vjV4zjPnJK8Owy8kD9ryeIEiSILU6v+AJewMeLfYUMixeDW91y94H68XyDDfJJEVdJ1fcLAO2881ezB7v/zwshu4GEV508U2ZLoh+j4sDbwgqaPl67ZkSiMWfSLNXDrE8Mxx+1J9HRE6J0r8Feb7j2SP4XP78rhJ8HAD91nb2I/jc9F0/nbScCNUgWHv2L/fbLh4iPg17J6l8v+I1GJ8NDhWuDpJw5tjnTAf9eohb8duN85SxU7RxIlqwX3jgLffEnAStEJ1+1e9pS/wLM2BnivPINzacBxo1VfQN0u3bw9jL389FWGLcBjX+pUVTqTyFnOK28P8G+8+b03XXBu33VQXwf4n2tPFv87S6KFRwOjx+HvvHESUT1HIv1JUx834HcD6jVWn8f1pnmPNQS4tG6D4zj2pj8NkUnAXVqdo2pccd0av+B4BPxhUUVxghuJltNvB9YAP5aY/9nZnUSrpA2n2oDziGotqV0g0c0DA8e+AfefDdkm4EEi+21GVbPA/eqcDGjsTlKZa7n7/jmj0A/Phoskik3ucBQGLv1kc/ptT9z3qr6XygOX2THx2vUSiVi/DM0eAn5K2v7Xoct4HtF+sdcSuL6Jt5CgF4m8ta+dOwv8ut5u3Z/YiyV2pwUAb6+8eem1N74f5ZtfxQHn04zOuutDIr0ynbH7wA/E7Gi76EuilplyhkrgQZpuy7pXSBR1iIe/Bbgom8kOUT+c50lz0X7g/v6fTvzBrq0QLf4TPm/098Y7f3yOnJ+IsXwFOXxbTU1WAL7fuz9sWg98OlN0yjuQRA9avnJJA+92Fdty9Co+R9GDv/cDd9zdaCoehHOmS8+no8CbE1ivL2BfLHhTfAq4ocq3Zx+DSWSYURp6Cbhdq91UbgjODzG3jMOBx0/7bgsIxfdR08X1qcDjju22NrtGorbYI58Lgcukh8VKh5GIVNp+8wVwc3ev1wzXSRTDtUKtA/iWyywrurALG3d9HwVee2zHvsJwPAdZlkTNAQ+q+ekWEkGiuy43t3P3//PBo8Z5VpEk+q/TrVoIuGuF/siuKBK9HbTQkwP+LW1QiO0GiQ59OfRRAzh/Hq9VH3YzXlVjc+Bzod2JpdE49zarvHUCntOj8jH8Ju7DJlr7fYEfM1LksY0h0ea547k3gDvGv9XfG4v7M+tV7nvA9XRnI7jjSJTVVHqmBHi6cHXzEHb3sJnal8CFqzdwVMaTqC5Wl+cz8KyWlTo3E/D7yBdbfAcuNZsc/l8iPkdl0rfngb/7XvVG5Ra+j04/a185AHKsngf36iQSrb9hxyYCPOj1C8Nx7D0+wgrywM9yPoitSSaRgveMpSZwyefCnQm38VzQPuZlDvzy9R0bXFJIVPDpd4wTcPmNH0+o38Hz5juhTB/gxwU5swRSSVTI5JgfBXy18qdxGvvVV62P7wJPENq782UaiXJsLPKLgKt7Sl5KuYvn0I2MmfXAU74/rnZLx/uu9SGmA/h+iWYW7Xv4fMk0eI0C/9590XBzBs7zG75YzgIPLihJ+oX9lqWgAufgP2c3DBpsziSRyL5QNkHgSY7D0veySGTEsL5DFrjHg85Ll7JJJMTw6TYCvvDkWL3+fRJdC647ZgS8+NDZVVsf4JzQ0cV7CrjCMo/1HHYFNZH6i8A1YzRy3+eQKHx18tlrwF/dZ525n0ui1CR13mTgpdQxzSsP8TpvEip4CFxutXK8cR6JDIgdGs+AX2l4OLT9ET7XRz0/tgCfLciRX8YucPun1VfgWwN2B3fmk8iKL/fLJPDUEf2ORwUkWs2SZMEwBJ6P+rUtqJBEZ+vq3q4GfnurhNexxyS6c1NcSQz47LGxNzuKSNRR05y+B/ipnt1CLMUkMk55tKwFfL0594Ve7Obn3x07Bvyij1tjcQmJRMN2PToD/Pf0yU3XS/G9v+vTjA9wxcs9bjZlJNpdUasSBfxPfn+jQjmJ1p6Z8E4DvkbLdTPXE5xbbp4qLgQe/uP6xUHsct4iQ7XA3WxkWp4+JdEWd3HuNuCMqpZi0RUkknp5aecQ8HtKPH6nK/E5qlmt/wt4HavhJ+UqvC8F83bMw6DejPl38T0jUXuvvDs/cK7W0xFj2E2TKr3Fgb+RUP1W/Rzvl0ysryJwKd47agnVOLeMVl06DPyw4tVU5xr8nmv2uVgCtzCYmFWrJdH1JQ5LZ+D5jENmAnX4e6fl1HyB17IdL6WxB2sUi0QBF115nO/lCxLt3xv+NxX4tYZB15R6EvVvePauAHh9L9Xq1kAiZpXDKTXAX7H67dB+ifPeqJzte+CZ07HRm1+RCDl5Cw8AD7WUnvyFPWWlSNcU8BfDh4++acR1skUigmEE/N1DRPG9JhLxTN/csxr4OjmetZdfkyjog3XPFuBnLJ5eMmgmETdjlNdu4Nech7q3vsHzzidRXk3gVoIx+/9iRylCGabACaG6jA9v8b2ZEiz9H3A7sQusOS0kStxq/NgTOFP/fRe/dyS6HRQpcw24MoN1m0kriVSY5bJuAY/YH6so9Z5EutMaa3KAx2sdvrviA+4zma+uPAUu+D6A5TN2Vsun/U3AWSMUzxW04ff8b6NqF3ADKdfO4I/4PddOxY4D5z8lfsCqHc87pUqDs8Bvjx3P2dWB9/fmrCTHt3++12U1H1snPo+/Zc9uAP5fhpZvH/aUnb05ksBf7p/7VvoJ99tohj4l4Ky/JY0iPpPo64lMLl3gLF5dz2278PNEzW4r4JV+zJKK3SRKuHrMzBm4XGVB4soefE+5urn5AM/62s44gr2OkT00AvjJzEtuVb0kmr4mEp8CvL0i8WvMFxJl6jxLyQMe82mXgWMfnluTuu9UAdcs0n6+/yuJntRcufUGePnfbum1/XgfuR5E9AB/7zx2h8D+9I25FwH8Trkr94sBEm3SjTn5F/iBmAt+SYN43z+ZqHGOgj7zeHLi3BCu2+rMjRuBK70ZtdUcxvur5z8hCdwzwaJ94wiJXFrHnikBP/pSXesH9rXxA0E6wMN47lc2fcPz1OgZDUvgf6Svyt4dJVH9utBFJ+DJ7zszLo7hecRtd7EX8NCizHV64yQKVbtkcx34z5CxSNHvJPrUYciSDFyBKZthFru/T839HOA1g58vtxIkeu3fiJ4CF/0cNJFNkoh9p1N7I3COlOz/fCk8Z3Vl234CfnhQtc+IJtGz135j34C/PKVntn2CRMP6vx2ngYd3vX+3hN2xhGOIeQzU4UyzVuckifK1as3WAk/zVKp7NEUifot1DVuB3+IWUg76QSI+OV6p3cDFPC6XHfuJ+9KWwoiDwL/ZHtq58xeJLl/+MWIEPOlGWB7L7/+vQ+8+O+BriveLf8HuFXrumhvwI8GOmSXTJGLszn0XANz+ObNw+AyJRhujV90EHriWP/XkH5wDU0V07gKf00jesHcWz305J/0KgCszRSdxz5FocI/Bo+fAP3DO8A9jd08gPr4F7rTmQ0LlX7wOfEq/e4A3dW5aGzNPIpM5JR4CeDtnd7zDAonep0xsnQMe7cK2dv8ivtc0jsmzj//zjcUPEtYskYhGXsoCwIsTnvAT2Fu/HlEVB172fm9S3TJ+z3MDinuAJ22S2JC0gkJXlKRlNYH/kgu7c46BQmkxcoImwL1bzIU0GSkUXPeb2R74UnZixkYmCn1bd2nMDfh5T41tP7B7DT5pCADe+efkwyZmCs2cq7gdDdxmlJC9y0IhEc4rZ9KAH5kfLrnISqGnTEy784Fz/dDdp8dGIf9cw5kq4KuDhGtE2SmEtGxLm4GznLHTnMX+UkrJuQv4PVvet60cFPqS1bNxDHjlVhnj+5wUOr586NU08MPnyrp9uSi0PvLKGebvoN/O5toZc1NoLCGAbQ1wuUAOYvtKCuU6H00XBc5W13lhGbuq1dSuXcCPeKxc6FxFoavFts8PAI8xKwrN56GQbU2mugHwc1tqeIJ5KdTQ+rTOGnhe4t4USz4K3dqVoeQMfJvLhm27VlPojZxtvhfwLhuHItY1FDIWmVkfBvyLzGbVPuxbdU8HJAI/E7v/delaCu1bfNSfBfzd4SbTCH4K3QxrVSoB7s1TNWi7jkISiu9u1AFfzOB3VRSgEJPVw95W4PPPuxdWrqeQ9IHTW/uAo82skSPYc+WWT5PAcwJSNjzbQKHrQb735oArZNzKjd1IoV7/nk42AuRh9FfRaROFyi5uZlkHXGfdq6YDghSSKjm0Qwy43ciMBf9mClmEmhrJA3/icHOcxH5MVe+8GvA+q2jveiEKGWyTDjUEHuD/i/O2MIUso6cTjwM/dbMm1VWEQpmvHt1zBn5Ob3KHlijelw1H7nsBT3cLfSG4hULJnweyrgFfVx1o+gt7uqF9agLwVZMDY81bsbd0RGcC73l53/eeGIWa05V8i4BPLrTyXN6G33NdnF0N8C9mx7MNxCkU4d+v3gJcP9pASUwC9w3xrYI9wNn/y2z9i739uM3UGPBfyVan27ZTyM01rmYaOM93z785khSqza+7xkSC+ln7O8ZfikKcp4jDfMBdejokzKTxdw3wsggD3/dXoFZahkLvPfY8kwFuurvanFGWQlPOli7KwPUPvZzowm651p//MPC3kzJhj3dQ6L+a7Eoz4Mk/Z4Sv7aSQ69NWi1PA41ZuqTy+i0I9BouTbsCfryg03i1HIY4PckH+wHdGpVAc8hSyjzq3Kgq4qNvYtQHsBm3FCbeBj5xNEH26m0JK9PLaHODEwYznNxQolLDD8mYZ8OqSlcdO76HQh+Eapnrgy1e6fynvxX/XWv7Ce+C+9swxfIoUqh8u6/kCnEMsWmYc+9m32vsJ4A+CLjXX7MP905a6/Qe4I6p2SFTC/edn1hQzBe7fTfbMZ5UptPG9q/pq4OpdpzMPqlBoUtMoShg4r+IrtQ2qFLqXqdMmA/ziXFD/JPaqvVa8yvD5wTT/xv0UenskREcb+L3H/EJpB/A+qjZfMQW+KE5UeyAKCelJ5dkB38CxyUZXjUJRb3LbzgPnXJ+7JKJOIR0OrV++wGf4Y9P/YP9txsQTDlzyVada60EKyS4Pit0CzjLuOZStQaEkk2GFLOBs6u4hvpoU6spgR0XA38Y1iRsfws/vM9Gohr9zz6t5uxaFghxeqr8Bfl065Owy9kM+J5Q/w3We/c7zSZtC8fXCsiPA9zQ/LM0/TKHN0dwbfwCPsmuwCNahUIr0NoYl4FdD9i5Y6lLo1XfnIU76n7tPM2bs0qOQtUB/tQDwtsvbtdj08b3JFBwvBlz+/QOyD3v1vMUpOeCo1i+2zIBCfEdPyh4A/oKrQDHSEJ8vw5QfusDTvBS+2h2h0IAWZ5EF8NbmNaH7juK6ulbkdBr42QZdGR4jCnWfiN7kDrxIsrv9G/bzG++/9gM+Xlfj+9wYrzPXjGsEcD+D+a3xJhQiA4L4koD/iY9uOWNKobBGvYIs6Me8PNXMcD3sMNEoAr7PrkJIwJxCdSwp7c+Bx7kbvqaxi6SK2jQDnzFUvvDSgkLyauRQJ3CPGl/BO8fwfac2azcEfGfo6iZ3Swqx0Tq9E8BdnZbcD1tRKCN+0HAe+E1ZtFnYGtdbcN1ztgmQu1I6Xk9j7+MaF1sL/KJHzcWW4/h8+VqGiQD3DVgQyTpBIXHRdSMywMeCo99521BIQF9YRQl4utZFn6MncX/TuxR1CPqNAgkJWwpdOyfYZQScSVi5cxH7EsMaIRvgy3UbgjvscE6wsLZxBj6spC/3yB7nhOqZ5EvABY629V89hZ8PGn0XBFz0TW70sdMU4p2RXowGnnH+4/6d/1GozeG1+B3gRsyGNIsDhWa3VuvmwPc03pT2BfudK1xnSoHnCikblDpS6F1t2dVa4NpyeYvhThTKVq1KeAuc08il0PYMhfYf3Jz5GbjUIb+Tis44zwj3PxyGf7ezn3eVC4W2izHkTwJneR1XP4K94m5I7jzwhm+JF5+dpVDkV+d0tkmwbtPj4nHnKPRavjxmDXDxushup/MUSiROXxEGfo7bPwq54ro187WXBp6fWYvWueHnX8wdVAQ+o3v0F4VdLGBwswbwy+925jS4U4ihb/cvQ+CeP09Yp1zAeVjqZ70VcKOgHh53Dwr5PNl8wwF4yKH7L7Uv4vr58NToAvAHzDXeQp54Lmh6wesP/NR1sZ3T2N1I1TfhwMNud428vUSh1ggp/0TgP1b0pGReppDgdKRMBvD7YduNvL0odN/bvjMfePlMA9tRbwoVOT72qgBuJpBfI+5DoZBVF9e9BP6+ZMBzEfvF6uLC98Aj4uxkO3zxfddwRr0XOEvgjm95V3AfcEtrHQXepamddtUP1+caQ/OfwCvyHpkd86eQ98KVrkXgHr7Wq3YGUKjcW9qMY+qfTwWaN7EE4jzTa9WyFrhsaGrgF+xtrtwHRIAfNpZVLr1KoXNh6nnSwC+VsP8OD6LQAfd5XkXgjG47Cm2DKfTwisqFg8AtzO46KYZQaM0cY6sB8BmZY1tXhVJodI+JmCVw3xfWX0ewRwbJep4GntqXe/vZNQp57IivcwUuoY/M4sLwd4WHsvoCZ+4S4jtzHffnQRbta8D36Gu/Q+EU4r7OHxQLvMujInxdBIVOvy1/mgpcZOMFLRq72vzYWA5wG86LTC8jcS5yLFhdCvwvT01dShTOmTZs+2qAe84c8Xe/ge/NXX8smoGfCZdUPRyN7x1Z/wsdwGMSdP8K3aTQ0ey0sH7gxcMlFdPY00bMkwjgVQftL7fEUGh6/6OMaeAP/Y7tzYql0MjynQcrfvzzFNvEae84/Ly31AMu4LVP15cfjcd9ad7i3jrgp48MXZRIwHN9x7ZEUeC/fv1QWMIeaZoYIgOcdNee7kjEc8qbnPOKwAcSh8of3aIQc5iNyUHgETINl4KS8P3eVSVvALyY8buiZTLOCTw13MeA7/tmMrfzNu6HvmcG7YGLZjA9Y02h0LJLTdE54H5Ms1f6sFvsqvHxAh7UvQuV3cH34HpnFAzcY6qAITL1//NIw9IN4OX8ri/t0vB9F/e2Ihn4i3UXw/bdpZBRQ/C5LOA7XjzX5UnH+dycFiwEnj10eNUo9n2pHE0VcN0Or//4/B6uw+FulwbgIy+kbsVnUGje9yRXK3z/TYFWzpkUelx+534X8O6t64XVsyikMHBTeRg438OfwwLZOGfq7X9DA3fx5nk4gf2u1n3TWeCap86ff3WfQn9Em7sZf/5z7j08CqkP8LmWzbNcCdy0+sfchRzcJ5/qdAgAr3nDX6eTS6FYvoc6W4BzyPheE3lIIa+I5koZ4FxFogZ/sO+6kC+mCLx8G8fa1jwKBa43iVCHv3Ncrjf7EX7+XQ2hB3zXlpRM33wK8QxMHTIHflxbw9m4gELEPeKOLfChFBl5yUKct08WUM7ApSizv8vYe1yU93kCr+Csrf/0GOcu/nj/AOCSjY6RBUX4nOZX1IYDl544YhpSjHN4YP58PPAY48ubrUtwLh10lb8LfF9D36hcKYXGhZlP5wIX5Q0uYi/D+xXhHFMC/BSHo08/9nH37KfPgUsEhGs+KadQ/rbS7ka4nurEqhtPcJ6ZTpr5ANxFNLz71FMKycmbruoFXj/xX7ZyBYVqpL6LfAOu4RPoyleJ7/edx3ZMAk9J6FIex74iJnPvHPCQVedZa6vwvJbarMT0659/rlD7mPgM96XsVsWVwENOH7179jmFJOdKdgkAjx9KdcYDFtr8/bKYKPCtzOKKG2so1PhSaI00cOcUkukH9o1fchcUgD+7RH9oqsXzS4DA4AHgvs7Sd+/W4Zy56FJ3GLiM9n0Xzxd47svJSTEGfvqrlZJ+Pc7n7966HgfewaDPtrWBQoy13cgB+KFgr8457AtvP3K6we9SGMj68BLP45oVH7yBPx0LupDzikIfvSJjg4HXn7dV92/E/bDCwOAG8O47XrxmTRQyNl3BnARcVf1tv/RrCuXdyS6/B/yg3LHHjM0UavmqYp8H3OqAcEA39qZzTRxlwNlVRI4UvcF1lXw4vxr4xJyVcNhbCkU8rtNpAl5j8H7yRAvOLYxyQx+Aa3P41Sm8w/fIYIpnD/Dzy6diuVrxvZC6zDQCfBdTiP0Qdt8Q2xs08IyxL7sr3+O6Gq/h+wN8MuA8S8wHCkltEIxd8fufH0vf99mhjULuDt5cnMBVN6g83P8R9xmRrsA1wLleePqubaeQX5LSD0HgR53HDUjs1zelHxcHXjgeJ1LfgXP4AkfDTuC9PJ6/kjspZBfpK6YEPKc0utH1E4UCBKYDDwJfyOm/rfWZQro/LnfpAf9U53hucxeFaCcWaTP4Ph/F1X9jT26962UDPL5IkP9tN163C4deOAIf26nzPaMH96Xsv8zuwO+L5Vd79eL6L6/V8AGucepQ3JEvFLKcTvQLBm5Qt9ZRvA/PX2X+JVHA7Xg3qi5iZzroO5QIXGW7GV/HVwq5TEatTAf+8Mur0bx+CgVzl+/OBZ7IePb51QFcV99/mxYD/3teO+7YIIWefTJwrwI+NWPhtHMI3/tiL643AM90TTvAOozP6Zajd1qAmxUK8Pdh7xJdyO0Efup6I1k6QiHtC43FX4EfaH9YH/GNQjtPF5WPAT93+sVtu1Fct9rPyqaAR/OtdN83RqG4c+OFc8BPFEUd5hmnUOY2pWzGaVDP69RERrGb1xUmcAE/uFFi9vl3Ci3e0A1cC1wpVv1DPEGhsa8rHTcDv210M9eZxDmH6e9hceDhcrxX1Sl83vV4xXcC12F7abmexvmf3XhJEfiOh3nyk9gzw+va1IDfpxu4GicoVCt84p4OcPlHPN9SJym0ZZOkszFw94obNR5T2Fu27bQGzkPtT9b9gft5sOnkKeAdgiIXRH/icxrzJO8s8HRRBf1Z7P6aBnaewP9r8xZ//4tCWZMb1vgD38X0Y8WD3xTSGNpcdw24aPTt3ivTuP7PWjndBO6q4/HEZAb3pf4PXMnAz3L7x0r9wfdaZFDePeA+hZVnGWZxnq9103wIXIBN/HAX9ph3qd3FwD/Q9Vsfz+E6Z2F3rgJurByzHPoX38tPS6frgVu+vNF7fJ5C/QoZV94Crzr17OnuBQpJvGtbagduN7U+gXORQgJtWle+AD9y8IHbIPYtsQzTI8BT5E4ZVCzhOeUE0xkauMetI1I3lylkE2bQNQ18k44Lm8MKGvnaDB5cAk6LPhlRZaDRzd11uawz/9x6bmf9GkYa8VmQHDzAyZyudAJ74IbTDgLAlViL/F4w0cjirXSNMPAZqtw6mZlGAtUafNuBTyoQSq4sNNqPCk7uAr78RH+9FiuNDDLPPNwHfLN+34wgG42a9vpMqAE3fXen8xd2eYOBHTrAG9ZcL3vDTqM1e9OcjYBnzmbEZ3DQaEq9JMMS+AGz7xe8OGlk+kKkww74LKON8REuGr1kJhicgev2LsuJc9Pow3Ee6QvAXzxt5VvEzrwx7ogPcOYLb360r6QRFeXhGgS8efhnW94qGq1nLY+IAD44ql1ylYdGGz5ZZMQB323WHHeMl0ZBBidKU4BXsl/22MlHo2/PG+sygYf0HjVlXU2jnouJzXnAK3LM9/Rh//XqzbsS4Ena19eVraHRmxVO76qAn0v89idiLY3+eJ5/XQ882+V8tx0/jdZe6q95A7wqe8uzfetoVGP0vOgjcLSJMY1HgEZxlqx3e4D3PeQOGMUu/bXm2hDwo9IH7arX00hm15gzAfy8T6ZGwgYa7b0XqPsT1skFWXGXjTQa94/a9he4FT3EfnATjb4Lci8w/AH5oameXC9Ioy9vVrRyAB/vaWmdxO7Q7XKHD/hdJoaSxs00krtteHoD8FLBk4lpQjQatcrbLgo8mmHM66Iw/i7XwPHtwPNvJB/XE6FRofjHrF3As1I91LaI0kjw4z2rfcDXc3qJzWHfUk9zqwFvLb7P/mELjVy1q6q0gce7LlAPttKorITt9BHgRsJX2vzEaHTP9DO7BXC2NLEnpttoRPhJPbQB/urldIq0OI0OBTAecgBedmEygFGCRqcf2n45B5wnmO+/buxL+lqunsC3f7TWLdpOo9aqssUrwJ1VW3eGSdIoXKMgLAS43l0nfhspfF4U5VZGAbftkJpXkKZR8bh6dDxwnWdrB7lkaJT0YIDzDvDXO8WbhrBb1q8KzgT+YNXJgkpZGlVFvZt5CPytQm18zA4aeZoLORQD3xmg5eO4k0ZGboxtFcAH3/y2PbCLRqukfRXrgDNON2vzy9HI7XP47SbgLT2vdlDY9zfu/NMKPNxynL9BnkYqh88f/QQ81VBu8fZuGu0q1LrfB9w76d6ImwKu88NV0yPAC/j2tmjvwfV25o06BfxTyo9Sob00enXSK/wX8Fze9jvT2AP9XrX8BU4c7QluUaSR7JpSLsbZf+6rxHY2ax+Nbrkf1OIArp9raeqjRKOY7xev8AK3921TNVLG7/lWr1AAeG/M+W3bVfD6nHndKwR8qHHXqmXsS6spZnHgtfMCfzpVafTfhgpJWeCvVooN5O+nkfc7WV0F4P/1mjYHH6DR6kBDBxXgmzXySqwQjdiDNvkfBB66VSxVTg3fI2K3YnWAa1rXh7Kr0+js09p7R4Fvag5x7cd+M+r2Iwvg3Xoulk8O4nv2t1iJDXCHek+NGxo04lA7VfYf8Odc2bKnNXGfrzMrOQucYp0RUDlEo6hXi488gK+Pd2FcrUUjtYzjGT7AL99kpsexC2R7xF0FbtZb97lWm0YzQpoB14GvNb9Xf+swjers3zveBL6tP7PgnA6Nc+w6/VvAV5m/TtbUpVH29U0yacDdU3hDNunRKJq7ny0b+Fykr+tP7Iup9v15wM9xclg369OoKyKnpBh45nSF1j0DGq2UeHy1AniYbKT8ZUMahdT76NcC3xgXIGR4BNd5IdeaRuBuTLc4tx2l0aTyqc4W4EV2rTPz2Gsqg+Lbga+7sX34oxGNrvu6GPQA//Ff9vuHxjQ60CbENAj8fov680ATfO9z3S0bA56XseKhhSmNdl8h7CaAX381kLjDDOciDxauaeBf1w8FsZjTaM/Bqcfz8LxcYXb7gv2FUv5Rxjlwfj9onyi1oNGPPGWaHfjaP490I47R6NloaigPcO4Pu/bZWdJo04GODeuA16h+2rbPikacjEMPBYHvF0pdw2ON+0Bw056twIvNghhGsV9Zc61aErjVy+uTz4/TaJ5RWH0X8CC9x33xJ3C9ZcbX7QV+o2X6rbMNjdw1v6nsB/57+/Eq9ZM0ctzHX6oB3+fgUO56Wxr1vRcT1wXO8TcsaRJ7mzV/4lHgzPIG1xrtaHRYdnzZHPjMWznPNHsaaSXedTgBvPThntMXT9GoZUSp+RTw7QXHTPRO02jo7DMJZ+DGFSkHt/yH69xfLMgNuHrBvNwc9s/Ol7ouAd983lf0gwPOq0ElUn7AN/Zt4MtxxH1MoMcrGHjol08r/J1o9Nx7oj4ceJVhyZTpGRp1/p1ijwG+Y13+gLQzrhNySPcWcFv+lx8YXWgUkfbqeipwesffum7sqnYp9ZnA/Q8ZFhedxfd+mP1sLvBWlbqMsHM4J9gLSz2G9fD7SJzNebyPBz9alMN9MVkM2uOKc4jXlavP4O8ovfbgdqPRIzPhnBfw+aii08PYlaSfv24C3iXzxKzKHZ9rXdPRd8Adl7u0Yi/Q6A7T9+V24Iuj6/c5eWDP9eXvgd/b6CmJLtJII2KlxADw9KDJjes8aVQwl64wCvzmYig3jX1SW+EABVx/k9JSwyUaiTW+1fgJ3LOWfSrlMs6HrxwPzcLz9e73oLsX7g+3ODSWgJOSi+2HvfH5iixRZf4L7ounoo3CPjgP/z4lzwnczdq+Ygb7tq3CYrzAH8/W5L3zpZGZ0ze+dcDzPBTTsq/gnMZfMb8JeGDR25u+fngO8k0eFAXuHO8bZOxPo2EirEECeNEKbU/JAFxv5WEZssDzv8g6rQikEbfsbd/dwN9x7bL+jP1xRrWREvD4CwaGhVdpNHh6ZisCfnM6VD00iEaNTZo/NYGf8e5WOB6M+/CmvOe6wD8PaW/fHUIjvWKJ4KPAM9a1beIMpZFiT80hc+AP5i7yDGL3GnNjPg68w203U8U1PC9IoVo74DJ23H+iw2iU+kvqkiPwusfLxH/XadSRsEfyHPCn6iv7VcNpxHXStusCcO0FhfY1Ebj+s/KDvYA/e3mpicAuW7pJ2h+4a+DHZy8iaXSxv7A1GHj72sNFyVE08vB2PB8O3MHxc7brDZxjP2px3gRedSLwtlY0jaxUDDMTgF/sOxi9+SaN7rME7E0Brt8iFPwbu2tQT2M6cA7etV5vY3BOY7Q3uQ88PHrLucxY3D+71n3JA14mq2vvHYfzg8lf2yK4v+0RFkfj8T42rhwqB77NYURfIgH3yavGJ58BT3trfnAJ+/Cn5q464JLEoGJnIo1G1nkaNgLnyw2Vzb+Fc128Wd1b4IWk+tbgJBo9TD27ow3W1Z11G6yScR2GPEv+BLw6jYlH7jaNplM1lnuBq3azs7Cn0Eh0L6v9IPCrCuLzX7FnZjC/GAWufsv6R/kdGpXvUhOk4O98yx2LSqVRskKVxw/gOuyrvp5Kw+uz5NE0A9xwNKJD+S6NmvvPCywAP+gg/JYvHedtyfxTDPP/XN717Ytx7PKysvmswBXGoytq79GoX+XXFBdwn4ozj29l0Ojrg2U5PuCoyfrBuUxcb7UmruuAd86fTtPMwvfgp6ncTcBT94cmbMrG9XOg66sIcPaLzyN/YrfR5uITB373Gmdw830azR6MRNLAfx539bn3gEb+QZbOu4DnfyXcL+fg+cjicuwe4Nd+XTljmItz9erRMmXg2sHb7LY9xH2VJacDAW/xHDm2gD3x6rMpTeBMpZVH2/NoxNIlxqELfGzL/cN5j2i00Wpk8xHg4QUP1K7m00jYcn6HKXBOlZp9xwpoZCfuomoJPLmU3LWz8P9z0x4tG7j+yzskWR/je8HNSv8UfB+266J92JNivhg6AU8smdlQVkSj9obnBueAPyR8VkcW/z//LBy+ALwxaS2XfQk+Rw9T1S4DD85sYFIqxflz+a7CFeCRv8IWeMpoFFTAvO0qfH8Pu+lR7CUs7/muAb/IdXSiuhznYcvlvxHAF7NMxhKe0OjS3K2Bm8CFxc8OuDzFc7piUn0C8C6f290HK2iE/mPIuA1cKbL344ZKvL/tn3zvArdVk2+Zwv6kfb1JFvDA4LRXTVU00nn6WjwX+Of9m2vvPsP55/3YTD7wZ8eKKzyf4/U8d7mhGHh0tWWJfjW+L4a9op4Arzdbl7+15v/9ijZ6Bryfc+z+X+zaKZ/W1AG/3Pg2va2WRlv893x8CXz3hZe3c+to9NKf60Yz8KY/H+IDXuA+QFtqtsL1VPtxw7we94FNW2Y/As9T3HZdtgH3Z6v/cj8Dr3p1Noj5JT4vC2JmX4Bv7Wy60ot9u5H90gDwySN7L5e8ohHrI6Hsb8CVRSrcwxtppGJtrUUAl9llcNa2CX9X6YZvE7BunacdFF/TSJDZOvAX7AMVRXarmvH6p4usnwWexBxw/Bv2959c8heACyrbWjx/QyP9+f37GRb+uYCGqXH8Wxqdskl+wwJ8Nae1gXMLnveNrphyAs/zvnhY/R2NJraRPauA37hyT2N9K86TsqMn1gD3Wfx6YBJ7QsX5PgHg+8d2Kje+p1HkhmuWgsDLxeL3pH3AfzdD9qMI8PZ77HIX22j0KsNBexvwOK0YGb2PuN5c5CslgTMySG3f0k4jHqM4iR3ANZ51bp3D3p8ZFicPPMg2XvhDB43yStb83Qt8xRf7TTmduJ+3KdqoAOfcoCng/4lGA0bTNQj+XSbFNWafaSQUYiCoCdw0VIVHpotGjFXqlw7DvxtpxMXUjec4zfYWfeDrGbzZerA7XWISMQJe0VbMVNyD1yG93dUMOM/3+eWwXrxuqw89twT+Rd5iweYLjaaELVlsgE+kNMzu6aNR2gY+PXvgW1eqT3N/xXPK0fM3HIA7e77/MYz9sMCFFmfgNbXnJ6r6aSRRs5ndFbh8lxAZO0CjuVsX1DyA9+f1jzkN0kjql7vnZeAzW4tH0ND//y+0OccX+OOd8YPrhmnk5+vZGQDcuir0K409QPfKihC4zkXXe1+O4LljSH77deAsS3e67nzD/ScxRT8KOHWztvPCKM75ZWXnYoDHG//6qDNGo4qYoMgE4Anyih9ExmnEf4XlQTLwJMHId3+wDzcdqE4Fbrk48ab1O84nr3a23QOe8cL+9X2CRrmN3YPZwA+bj766QuJzIXhgMhe4Qq53gwlFo8r1NnP5wE9mC76QonHdcqusKAbeqvi+hmECzxc6n5jKgScfiX3ehb1UVI65Eu5Ll33V40ka1X7TZ6gG3lenUXFtCueQMan5OuBtv3c/OfGDRupeLT9ewjq0312m8JNGhd/lv70GPj+tXsL1C+/vjZOdLXBf7p4sGsKuXWZS/wF4gXZUYeVvXP9FvPkdwEMGmvJjpmm0rj0prgu4pPnqR44zNHpzjvD8AlznlsvDA39oxPSRw3wAeFZ0ew7/LL4fjf7IjwBnkNV9QGH/q1rGPQ4cnXyf3TCH8+eo+jAJXHvNqayUvzT6kZ7xZBL4GkWWTPd5GklWdVz7BTy3ovze4QWc9659MfkDfMu1i+nCi7hOLKo2zwPPvKF+dwb7ez/XkSXgttWCae+WaMSmt5jDuAhyIBNravYyjRp4/3NiBf7YcDHFd8UEChHJ3cYJfDqKMcWYYQK1vm3qXwl8IJ//tiTjBNp6+tUtPuCTqXuTVzBNIHaVTF1+4IV6/yV9xr6ccXJ+PfCqnIxbhcwT6AaxlCsIvCadTAxlmUBKDldNRIB7btFIPM46gUIdxv9uBf5AKDdhN9sEmlXdky4BXDJ4YwIn+wTaoHJGTRr40IGU+EHs50pCv+4A3qgmEV/BMYH8f0d6ywP/dPlF3E1OvA7Gfnx7gUu0O8U5cE2g70LWD5SAd6hvjtvPPYHM8sT37Qe+qvRr7NqVEyhVa7BRDTjfuoJYErv2oShjTeDiVtdj61dNoK9/tvdqA/9fO3f9VOUaN2pcEbu7JVTE7kZvAzsRRWxMbEHFRiwUE8FAsDuxxUBUBBRRxFZsRFFUnscOMM6958y879c5f8GZuT6/ec2atdd61p2zZ9g33iMgOL+h3h465dZJdMvWwwM8Chjq+zmH5K6i7740IqBdQUP5Twkb0kP0UqmTA8oVMlQz+0rPeon+Idg/4KvuyyqudO0jemxsWMC1wobKfuHT9f6i9xj+NmB7EUM16dC9lZvoXQZVCZxR1FDHCu07OlT0+bumBDoVM9SfcZmt3UWPr5IQaF/cULsP9F4yWvSij+uu+qt7c+uDH8eJ7rRvx6p7JQzVtVQ2F0/RfX1tVoeWNNTI924nJ4seNWDf6gWl9Hh4c77oNNGrlldr+pU21MeBFTxnip4W82xNnTJ6PGzzvzJb9NYNlq3NWdZQTpZZrOaJPmOYY9Bz3X/e9fH0Ff11ixzrTpbT82JU9kg/Ob/C769bYWWofPnX510mepFLR4OHWxtqU0mH3v6iX+kWHOJgY6g2D99tDBR9a4el6wvbGip42/6kNaI32+G34a3uVaJn2QaL3rZ7wMbI8nrerXRz2yD69OY7N62rYCjnPq7rN4sePCh684SKhsrvMfz2NtG9dxhb2toZysVucY5domf/U35b2UqGOhsf3WSvnI8Dhm3/ovudkyVHH5DrydFDO67aG6peg8VrD4ne8EPWXdsqG8ozpMiFo/LzZ3PfPb2Koco1iEg5IV+fcmtP96qGut13Qa7Toqu5HfZVqmYou75jqp4VfUNs3P4/uof6TupwXvQtoS6hd6vr9arGpmEXRd9rk3bwQA1DHdn9flaM6OWKrTg8v6ahBrR0C4wVfeasxkf71jJUUJf0HVfl+GlrHqtd21AZZc8evy56zuGHTuSoYyhry92RN0WfEDf95DPdNzqdvXpHdKuRXU+H1TVUHtfft+6Lfr9m9fDl9QyVbdSY+w9FH1i4WMSw+oaqeC974hPRl1rmPN+0gaEsP96+/1yOn69ZIws11PM6983byaK7388Tlar7kCmZ4lPk+rOxbMyFRoYqtWBoVKroto0aXQ5qbKh034yw96LfDel/ZXwTQ22Ov7LbFN3x5JKrbZoaaseBhDWfRN/oczG+jIOhdk7ON/er6BVSstz4rLvD1EWjfohu86TrrbhmhsqVzaFbhtynXLbf2drcUPsmVq/zR/RPbTLfn6YMdSrfgEKZ//xv37xhZGK3Foa6WfWamUX0yV0SH9m1NNTq0rPisomeqZPz09+6b645fltO0R8uuvf8TitDBZzePjWP6Ae+DUne31r/XrnLdcwveqUlP17NczTUFq+nJQuJnrt+0Js+bQz1q2NKShHR7d82f1erraHCHzc4Ulx0lw1mWvZ2hpox6+a0UqJ7N9/74anuj2aebFZW9BVRYz6faK/XvWpv/1qJvqxcw2/LOhgq6/PR521Fn9sq98+hHfU69qbJrIqiL7V9k9Gkk/5d1vZrYC/61SPxfwp2NlRNh+tpVUSfnhyeOVV3v6qrt1UX/ea+o5YXuhjq3YmDPWuJbpNxJHtQVz2uqllZ1hX93OXTucZ30/vvi5TD9UUvbBmXt013/TwrZe/XSH7f7S8KlHEylE/XuRZNRQ8NzlLks+6r97jsbiZ6RmK14nE9DDV3kV+HFqIXcB1YaquzodIcSqS2Et0/+7qy03oaanqp7AvbyN/rcaJ1t16GuurpYt1e9LVXylewczHUotXZT3UUfWuUV6Xfuve4U7pLF9FtzyVUudNbn0/mrX7WTfRvB2rX2O+q59HHiRN6yPGzYH3teX0MNXXiqV89RR/QMG/9Pn0NZbiMWNRbdOPMwka1+hnq0Afv/H1Fv2ORwyF7f0MNCsi0pr/oVbIEqKe671hiFh8ketnDNq1PDDBUpRqd1w0W/cXv022XDTTU0vjixYaJfuZ5n45DB+lxe8Y5YITo3ztn7trE7b9zVOZco0T/2OCwU8HBhlobZTNnjOgFV43o9Ub3gvPDPo8T/XKvCn3ODzHUiXsXhnmIvmpSav+1Q/W+WaDV7YlyXiedcBs3TJ8f5jZVXqLvCFw8zHG4oSrPPLhnqvxdvIeNLD1Cz+vuG/LPkL/7mrZjP+ne2ynb5Fmij0+o6XHF3VAxN9Luzpbj2dp68paR+lxh1bP+XNFTvItPmzpKnxNWNgmcL/qlR0VndR2tf5fJ2977it6uZuk5FccY6lWZ5Y5+8ncfV2nBL90TH2UELxE959ImfrfH6vOtxYf3y0R39e65bN84Q0Ukj27mL/rQxl4r5443VOYb45YGiN7x+IbVrhMM5VYy/d4q0Vskx62r6WGohQULWq8V3Sf874Zsnnp/z3V8xDrRu9ZpuvWJ7rd7vtwXIvovB++dxycaqmfr7e83iJ56I2bv0kmG6lzpU9XNos9JLnJwyGRDDe9xa+RW0WuNHn20sZehuhVrs3276LP7XgorMMVQYdGdHu0U/dNe+/DXurc59LrAHtErdA04f26qPldUKuW4T/Qwh0zRa6YZap3Py8kHRO89xit27HR9Ts7RfvtB0c8mfLjWeoY+bxRpm3BYrkuDJt4sNVOvq1+f/Tgq53uB9Lsfdc/yq5j1CdEnJi56GDtLj/MZ7x1Pyt/3UOlnm731OefiYPfTou9fdCJ5ymxDrbSbtihc9B59er3p4qPH//daOyNEz1Eq432FOYbquHD5hfOiPzu/62OG7vEV/RMj5XNr4frt1lw9/is1/BAl+phV+TP2zjPUmscLLS/J3yv02t858w3VMMinWKzoY339LV0X6PVqj61dnOgzC7rmrOmrz/9DPeteE/1vO7t82RYaqm+Jcc2vi97PKr3QE90nlCze7oZ8nstvFz++yFD9T3l0uSV6hyVHyyz10+eBtjOd7sh9KleQzZDFhppZrJHzPdFLZ5tr13iJXn+m7+nxQPSIiR5VCyw1VOsL8d0eit6r3fBar3W/0Gxvx8eiB84YVP/cMn1fa+3Q+qnolbMMarJmuaFG2/o1fi76o/tD1dgV+l5cbUX1F/LcYo5zbO2v18/j3axeih7XwrtDqZX/nUOu50uRn/NiQNePur+bm+vXa9Gbjt3vHBugz7Gjs71OFb1xvTjXzYH69cWjEt6JfqqgMWDKKn3vftgyLE306IxiQ7usNlQDywUhpuieqY4jK6zR99mUJbM+iv7y5tRxGboPu9O7/2fRHQ8cmnhrraFql3vf+KvosRPeT90bZKhCxToU/S76ocI1vOes0/eUvB7GD9Fb+0+e1zvYUEkuQ2LSRX+SeH5RjRBD1W9tE/JL9Htv8y/Pul6PnwoHx/4Rff3pYYGPdW/VOVezTH//t29pdi7o2AZDDc3TMLeF6IPHl9m4ZKPe98Pq388i+qjWPtsGb9Kv35B9a1bR2x1P2d1os6H25z84MrvoG071CM2/xVBFh1SpkVP0vO2jjqbo7vrK+2Mu0Tv2bXQqYqvel9/tPZpH9IKvj0Ss3qbP/zGHPPOJXjGlZtSY7YZyjFlZo4DoLt2OxrbaYajfDl1TC4o+p1Tj6yV36nvB7NSthUX3VdG3P+ju/HCoa1HRncKcEy/vMtTA7efyFBf9+ZTXTzft1vf0KhnnSohec7rPS689er5cLDWhlOhdTpR+23mv3l/OlitbRvSu5c+a5ffpcTUqx5WyovcMd/uarnt8mcSJVqLP98qZcXO/3u/sAkvZiF60Y1imvQcM5Z1Y74Kt6K1ru2ebE2qoywsvDq0g3798mTy9D+rz2xyHrHaih5S4W7DGIb2vFd+xo5Lo43MGFs96WM/HzektK4ve0OhR9rHuW9xbPqkix8/54uWPHTFUv6jpU6qJPtTruf2So4Z6n2Vn3hqin88RWmPwMX2vnxm9rabomSZ612t0XJ9XZyTWry16+F6nJvlPGOql86tLdURfvqdyixTdc/VJ7VVP9HLuWdtGhBlq26OUF/VFt3n6stPqk4YaUf3ZuIaid8sW6zTmlKHybrn9rZHoYx4c7N3qtB4nvjHeTURv2yV4QMkzhjJrhFk4iB42YNHQD7qHGLt8m4m+3mL6qMvh+p5SLDibEv1pvfETNp3V95rvy31biD45bYSXV4ShGicvtGglumvFoTM7n9P332q+3q1FD7w7ZG7583pfrrDkm6Podb4PX5Suu0+ZoHFt5TicP3b5zQuGej0i9EU70XNOmrJqT6ShqvW63quD6CvOzw/2uaifc+OMSx1FLzxk9WaXKD1Ph9Vv0Fn02857dlaP1ud8+9nbu4hebMX5/ZYxetzev5evm+hVcz088kj3rFEtpnUXfWzk95NHLxnqikPEMyfRm4SWOLf4sp5fa7u0cZbj57JDtFusob7ZfN7TU/R6OYbFNbyix3mtQ7lcRO8+esWNfHGGelhk/ujeoj9KCb/3SvcYK49YV9Hdp75/fPaqnkfbp1boK/riotbJq67pc8LHkNn9RE8645I6Ol7vL/0e3esveqnBK82W1/X3rduk+kDR32SO/1oiQa+3cafmDhI9a1CeX6bueSa53nETvUGpbhaXbxjq1OxSFYfI8em7Osemm/peoDJNHip6gVuP83ndMlSxbLkjh8nnnF6paOfben+v6JBnhOhtfniVLn9Hn0OM1b3cRV8ac8kmXfdqx4ptHCk/T/9S9jfv6n025uKLUfLzhHnU2HNPn/OnhNiNET02/ko9n/v6fUpuHjlW9GsbKjZ1eWAouz8394wTfULZBS2rJ+r779R6r8eLfqvDq3aWD/U95d7l8h6ily/Toesj3buNXz7QU/TgFYd6Hn2kv6//wqCJ8jmsL9Fv8WM9X5Yevz5J9JcOCwa7PTHUveMlLL3k+Bn3yb3hU30O6X+84RTRs1caOj7fM31vves3aqrow4bdm/xK91CPoOBpcr5YdZ559rk+h/skXZ4u+gXn6Lmrkgw1p+fILzNE357e3G/0C30ObFHdapbof/OdXdEyWY+ftbXbe4ved2nTNSVeGurTrikTZovuODpival7y+jfq33kOrOr5bZLrwyVs0XsqTmi128Su2djiu5j7z+cK/dTa6dDk1/r+1dItYx5oqc7Pz7R6Y1+DqWvlFwgeqeEUWdtUw11o9XBBr6iOyz/efGn7jaDnzgtFH2N39IrN97qc1ds7zGLRK981urG7neG6hVXbr6f6Am2Yfdmv9f3l1N1gxeLPu5k1ye90gzV9FVQ6BLRX09OTa5mGOrg1s4Xlope12Xh2yymoeKU881l8vzjUvHjQ927FAx9vlx0e49L34980Pu7ez9jheiPN4364/fRUH5rBqX7i+71JF9Wt0+GOvPujGWAPC9VCsvd8LNeZ86OzxsoetSUQYXyfdHrQJ9ZRVbJcXI5V8lXuu8q/Krkavn5i56yOvvVUMnN9pVdI3rvvu52q74ZanbleKu1oo8MLFF99He9ntt3sw4S/dCpq3Vb/jDUnaW1rdaJPjN2TpMSP/Xn2eVVJlh024iGLU3dt8aWKREiepbAD+0upRvKpY19ofXynNNqf9eNGYZKGReca4Po+eLce03+pe8vqz0zbxS9dAW7/p1+G2p9zqPfZK/QOWWI7R9DtbDu/3aT6Ieb7Rn1U/fIyp6PN4ve/ssYjxt/DfVs6qdrW0SfPab21N2ZTNW7f1L4VtHTNv3wnp3ZVO/t1d5t8ly0JHJBLwtTDayZd812+X0rL1taLYupRkd29tkh1/OproFZLE11p9Zf952imxPsgh/q3jehYrddoi/I/23zkaymOmtE1tst+iKny7v8spkq/PmdEntEv1w7JHRQdlOV+D4oQ/ZSB8Yfb5DDVIHzhz3eK+f7WcfwvDlN9e5+cvg+ud8NLHPxpe4v2jwL3i/PvSu+xobnMlVTK9cpB0Tf2u5GQmBuUx050c0pVPQTCw/cG5XHVLn6Xa5yUM7HdkuetMhrqiyDL1gckuu/76iXxfOZalBJh0TZk5p1fGfo/uRu04OHRT83ptqnmPymavHmwtwjos/NXeDnhgKmarftmvNR0TuX/Pp3UkFTHevlVuGYnNcBj7J1KmSqtj29P8u+dUJUXtvCprpoVog8Ls9dhw8U+al7ynTX5SdE79M9qPSNIqaa7FjSNUyeWzrNt91d1FRVt460OSnH20aPyrOLmepGUrtU2We0HlSrV3FTVXA9deiUXG8bd2tYrYSpXvUKn3xarv8zWzTPUtJUd6v1aHRG7lPZ67Z5qPupGrPTZU++b9f5SClTdQltER4uerW3pZ39SpvKJT1kxlnRdzYp1HdQGVOtdV/RKEKutzE5Bzcoa6qrbct8lb2en8XIvOVMdSa1zeFzog+c/Wv8S90rbMsz+rzcZ3d89wq3MtWVSE/bC6IP/vF5VqC1qcaFTEmU3cvr4/xRNqaK9y7jHyl6XIkPS1rYmupoxLDWF+W6+swMKF7eVPf3d/8m+5foD+sM3TOHJO2OEr3R5U+bYyqY6ktiCddo0Te++LprQ0VTjY34ni1G9LeF00Mn2Zmq1lqf47Kn9f57vGMl/f5hR9wuie69P+tZG3tTbR7vn/uy6J6580b90D2+YKkTsu+fXDQuobL+vT72GBArz+Evy93cVUXP04FNLa+IHuRS+YF3Vf36A3f2yl7lSr1nPauZqntV665xol9q1DKlanVThVa3+ij72G1d0yxqmKpy1tuBV0W3yjLgS6Lu87I0q3tNrmO9x2YcrmkqnxkDb8n+duMsC79aev6GN/KIl5/n1vKcg2qbanDJ+DzXRY//uLlAgzqmSnhZZo/sP38eLZ63rp53Eyq3ShD93utL5V7qPjrPl4eyrz71qGJ4PVOVyzN74g253436WC2wvqmiL8TmuCl6wPfs9UY1MFXZWXc3yt7Fzappi4amMv131r4lesqWhq2KNzLVzy5NomXfG9a9g6H7n+xret2Wr980untMY1NF5T/5SvZ0F9/eG5rodfLk1sl3RG/5eMvASU31ut3NxeKu6NbVIoZ3dDBV+ar3Vsie2fHhWJtmppq53rbUPdF72vyY9EN3t08OO2RfHllsZkJzUwXMtat+X3Q72wbzdilT3Qt5flz2bS1cFnu3+O85jG36QPSFpaau7NnSVJuOXr0g+4DQdUFVW5lqV8+/jomin/p2ZpNFa71uXM4RK3uNL092JuqeMCC1w0N5jt2eOfSwo6m8Rm6Lk/15Zrvji9qYam7j+h0fyfN23k7hA9ua6oTt9ljZV0V5XKzfTu+/XmltHote1jboSp72ej4uKHpR9gi7czeSdX+ypUyzJ3KdTHh1/0wHU3UtY3nyn14y37OAjqY62T6+5lO5j1s0TBnZyVSJU6fvlt1isVua6myq6Rk5yz0TffK+JV+KdTGVa8U5q2Q/NuxERpruTds9yf5c9OATzy1iuprq5VHbmbLnWJ8n14Zupip2xilN9pRCjQtO6q7X84NjBibJ81XpESU6Oun1+YXnddnXH1llZdPDVAt3DW/2Qu53dyLtfuju06X9ftmd5n6onuCs9zX70iWS5b4cZlV/V09TNV/ybL7saZ7dHLx7mWpZ1FpD9k1HfFr3dDGVt10r15dyHE463LFqbz0+LZMvyJ47LMnJwlWf3w7PsH8l1/kphfsk6n55Ri5/2aceb+N2uI9eT06s+iL7ybHT3Bf1NdWMY8X7pIieuHH/+IH9TOUYE3RW9pxtn3nV72+qnM2KWr2W7z+0sHeeAfp7jQ2YI3vvL+0WJOsesDNvkuxJ32YtPTNQj5PGS1u8Ed1l1NHAgEH6/DAz92bZv3d4EzzSTZ9zwv1/yZ4nqNxWNVjvX51K9kmV86Vrrz3Fhpjq8+y9x2WPmbDsUJru2Xe1zP9Wvs+PqLDooab6Vih5pOxFUzIi1g/T639x/0jZGzWqFzNxuN6vs7Yr+U70J+/HXuswwlSza+TxkN3dYtdta3c9r18+i5Hdceqzh991Lzk9qtR70V90KPni+khTVWt+arzsJ6c5p+4cZSoP3/ORsje1WPFh1mhT7d/ysHCa6O9exn53HqPne1Ku4bK3t7L8W2WsqQqGOJ2QPfGQymYxTq/bpQ9bGqLb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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects e4dc0d57-9ce6-4836-938f-9116521f833c 1 e050872a-8764-467a-a1e9-bb04d939de45 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d64cd4a9-d31e-4b3c-906c-9e3339a4665b 1 30b2c23f-8683-4fef-996c-03f6aa1e9afe Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e7b831aa-68e9-44d9-8efc-496946509db9 6927ab14-0ec8-425e-a84f-02340f79d740 c224342c-801f-4459-9224-44879ddf539f 24c12657-9231-42d5-962e-3459238abf6b 3aeaa679-c8fa-47a2-b9c3-1868572b291c c227a8ff-262c-4247-b446-6a6a409dbb5b 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 bade2dc2-5919-4723-bde3-ebdd9bc0713a 2355ed38-5d29-469d-a4c3-14ee6ab32283 9dd91ab6-75a6-48ce-93cd-2b30e34153fb 30b2c23f-8683-4fef-996c-03f6aa1e9afe e050872a-8764-467a-a1e9-bb04d939de45 da61e8d2-e7e5-424f-aba4-e696dcf5d685 44b8b5fa-fa61-4ad1-9bee-b17fe91ef637 697fad89-ed0c-4b19-a017-0f7aa40a3970 2e222f5d-dddb-46ef-a284-074cfd8fbb0d 50873f75-0d1e-4717-8482-3b5d9a8fd067 3677150c-4996-4121-8acc-6eff251fa7ab d92ee07f-096c-44bd-9f99-31909c8fc35b 1f9c820d-c6a5-4943-b20d-bc4eaa2943a8 20 219c0fa8-912a-49ba-8b85-0f746c3c66f9 Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true e7b831aa-68e9-44d9-8efc-496946509db9 true Duplicate Data Duplicate Data 9247 14311 104 64 9306 14343 1 Data to duplicate 08cff85b-5fec-4c8d-91e5-4e501afd9597 true Data Data false 0dab6791-f1ad-4881-a86b-223e0ea6c394 1 9249 14313 42 20 9271.5 14323 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 14e90ae5-bb82-4f62-b045-c378083493de true Number Number false ffab67ab-18ec-45a4-aa0f-a657ab7a28ad 1 9249 14333 42 20 9271.5 14343 1 1 {0} 500 Retain list order 2d5721cc-8e70-48f7-b33b-b4afde2d293a true Order Order false 0 9249 14353 42 20 9271.5 14363 1 1 {0} true 1 Duplicated data 8bbc29ac-fcbc-4437-9601-bc9f55f32ca9 true Data Data false 0 9321 14313 28 60 9336.5 14343 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 6927ab14-0ec8-425e-a84f-02340f79d740 true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 9233 12383 116 44 9294 12405 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 9587f9b7-7dd9-4ecd-be26-d2a39b149705 true Forward Forward true 1 true 8bbc29ac-fcbc-4437-9601-bc9f55f32ca9 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 9235 12385 44 20 9258.5 12395 1 false Script Variable Left 1a79516e-2dea-41d2-ace4-6fcbb289194d true Left Left true 1 true ac57a99a-70b3-4c0f-a385-602f9f11134c 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 9235 12405 44 20 9258.5 12415 Print, Reflect and Error streams 307e8f4c-863a-40b2-8a47-78f224ec8668 true Output Output false 0 9309 12385 38 20 9329.5 12395 Output parameter Points 4ff605e6-a509-4af8-9890-63cf4e497a61 true Points Points false 0 9309 12405 38 20 9329.5 12415 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 24c12657-9231-42d5-962e-3459238abf6b true Series Series 9244 13640 101 64 9294 13672 First number in the series 0f237553-f061-4f77-b92e-17f1a1e75e85 true Start Start false 0 9246 13642 33 20 9264 13652 1 1 {0} 0 Step size for each successive number 0dd83b16-14fe-451d-b087-c12c4b1989d5 true Step Step false f83e7873-fd7d-4508-923c-0a1ccf1f5173 1 9246 13662 33 20 9264 13672 1 1 {0} 1 Number of values in the series 23f160dc-5692-48fc-a5bf-c896c957f8f9 true Count Count false ffab67ab-18ec-45a4-aa0f-a657ab7a28ad 1 9246 13682 33 20 9264 13692 1 Series of numbers 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 true Series Series false 0 9309 13642 34 60 9327.5 13672 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 3aeaa679-c8fa-47a2-b9c3-1868572b291c true Number Slider false 0 9229 14490 150 20 9229.272 14490.67 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true c227a8ff-262c-4247-b446-6a6a409dbb5b true Radians Radians 9233 13857 120 28 9294 13871 Angle in degrees 695e0ed5-c343-4fa5-85c4-d24c3161d366 true Degrees Degrees false 22d8d287-574a-486a-bb10-c3dd6f030770 1 9235 13859 44 24 9258.5 13871 Angle in radians 54f44873-8d34-4412-9dda-78426a1a8b25 true Radians Radians false 0 9309 13859 42 24 9331.5 13871 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 9169 14165 251 20 9169.984 14165.94 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true 9dd91ab6-75a6-48ce-93cd-2b30e34153fb true Interpolate (t) Interpolate (t) 9219 11618 144 84 9305 11660 1 Interpolation points deb06cb6-2eec-4ec0-8320-05716a9ccf70 true Vertices Vertices false e9fa65ea-db30-4e31-abf4-2dd776fcae3e 1 9221 11620 69 20 9257 11630 Tangent at start of curve 920f550f-d7a1-4816-b13d-96e13367511a true Tangent Start Tangent Start false 0 9221 11640 69 20 9257 11650 1 1 {0} 0.0625 0 0 Tangent at end of curve e3e3a347-403b-441a-9fc3-765d2eba5ff9 true Tangent End Tangent End false 0 9221 11660 69 20 9257 11670 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 9ce86003-c292-40d4-97ed-e737c1291321 true KnotStyle KnotStyle false 0 9221 11680 69 20 9257 11690 1 1 {0} 2 Resulting nurbs curve 5995f820-88d6-4cba-b80c-7032b09c885b true Curve Curve false 0 9320 11620 41 26 9342 11633.33 Curve length 7ae1e6b8-c28b-4554-a0b1-617baba0429b true Length Length false 0 9320 11646 41 27 9342 11660 Curve domain db4d91a3-c62e-455e-8a3a-1de63b19e19f true Domain Domain false 0 9320 11673 41 27 9342 11686.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e7b831aa-68e9-44d9-8efc-496946509db9 6927ab14-0ec8-425e-a84f-02340f79d740 c224342c-801f-4459-9224-44879ddf539f 24c12657-9231-42d5-962e-3459238abf6b 3aeaa679-c8fa-47a2-b9c3-1868572b291c c227a8ff-262c-4247-b446-6a6a409dbb5b 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 bade2dc2-5919-4723-bde3-ebdd9bc0713a 46c776c4-7ca3-4b86-b1e5-54d4aaaa19b3 4935389c-f07e-4524-8242-4a47ef4fb7f9 5d39145e-2afd-40c3-9f19-3be03cd8e940 0c583e97-0764-47e8-a8bd-7880cc07c232 1c12ee8d-94ec-462b-a5bc-882f08df648a 72d0b584-fd81-41fc-a990-23a44f9c78b4 14 2355ed38-5d29-469d-a4c3-14ee6ab32283 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 84ce8d06-633a-4b85-9d58-99f099ae4242 true Evaluate Length Evaluate Length 9219 11450 144 64 9293 11482 Curve to evaluate 2b080345-87ac-4258-98d1-68c2c722a3e7 true Curve Curve false 5995f820-88d6-4cba-b80c-7032b09c885b 1 9221 11452 57 20 9251 11462 Length factor for curve evaluation b69dad12-f193-4f82-82ef-a1c6d9817151 true Length Length false 0 9221 11472 57 20 9251 11482 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 185fb470-ea10-4099-a0fe-cf906b73551f true Normalized Normalized false 0 9221 11492 57 20 9251 11502 1 1 {0} true Point at the specified length d8b4f148-6f8f-44ad-90f8-31160aef333d true Point Point false 0 9308 11452 53 20 9336 11462 Tangent vector at the specified length 07963215-86f6-46e7-9525-20edcb638961 true Tangent Tangent false 0 9308 11472 53 20 9336 11482 Curve parameter at the specified length c44627c1-2571-4098-b0bf-5ddbbe6ef12f true Parameter Parameter false 0 9308 11492 53 20 9336 11502 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 80d375d4-8b07-4dee-8779-6702412242e0 true Mirror Mirror 9222 11388 138 44 9290 11410 Base geometry 20db97e8-42c9-41b8-8e97-8e353a34e1da true Geometry Geometry true 5995f820-88d6-4cba-b80c-7032b09c885b 1 9224 11390 51 20 9251 11400 Mirror plane 6bd97404-9e59-4a2c-b843-e57c205c05c6 true Plane Plane false d419dc03-8b47-43ec-b8a0-a1912ce27b2f 1 9224 11410 51 20 9251 11420 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 6bb971f2-985b-4626-b42d-f75c2de5d3b6 true Geometry Geometry false 0 9305 11390 53 20 9333 11400 Transformation data f7d084d0-82bc-4c5a-ae2f-5aec5923b0ec true Transform Transform false 0 9305 11410 53 20 9333 11420 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 44d495d1-0282-469c-bae8-1b7b114e82aa true Line SDL Line SDL 9238 11534 106 64 9302 11566 Line start point b6df254a-1801-4774-8c18-f2bf68e75c7c true Start Start false d8b4f148-6f8f-44ad-90f8-31160aef333d 1 9240 11536 47 20 9265 11546 Line tangent (direction) 12d66a83-9833-4342-9a58-dc489fef3381 true Direction Direction false 07963215-86f6-46e7-9525-20edcb638961 1 9240 11556 47 20 9265 11566 1 1 {0} 0 0 1 Line length fc369da7-1af3-4ff1-bd26-5fba1504a688 true Length Length false 0 9240 11576 47 20 9265 11586 1 1 {0} 1 Line segment d419dc03-8b47-43ec-b8a0-a1912ce27b2f true Line Line false 0 9317 11536 25 60 9331 11566 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 141df525-4941-4245-9dbb-7aa96ad0ef17 true Join Curves Join Curves 9232 11326 118 44 9295 11348 1 Curves to join 5adbecd7-2c15-423d-b710-5f3d506cdcdf true Curves Curves false 5995f820-88d6-4cba-b80c-7032b09c885b 6bb971f2-985b-4626-b42d-f75c2de5d3b6 2 9234 11328 46 20 9258.5 11338 Preserve direction of input curves 2a52dbf1-e00f-4e7a-8801-28fa7b489dca true Preserve Preserve false 0 9234 11348 46 20 9258.5 11358 1 1 {0} false 1 Joined curves and individual curves that could not be joined. f43c56d1-3f88-4554-ac88-2c9d52d60ce3 true Curves Curves false 0 9310 11328 38 40 9330.5 11348 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 82650166-1a70-400b-ba95-f48c82cf522a true Evaluate Length Evaluate Length 9219 11242 144 64 9293 11274 Curve to evaluate 6dbf41b6-bc1d-4ded-b22a-6bbf69b92501 true Curve Curve false f43c56d1-3f88-4554-ac88-2c9d52d60ce3 1 9221 11244 57 20 9251 11254 Length factor for curve evaluation db7e5307-e57e-4a9e-9882-0bba71bc010e true Length Length false 0 9221 11264 57 20 9251 11274 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) b502a490-fe40-4642-b9f4-3ea541f7d352 true Normalized Normalized false 0 9221 11284 57 20 9251 11294 1 1 {0} true Point at the specified length af7fa660-384b-4638-94b8-7f96d03bbdfa true Point Point false 0 9308 11244 53 20 9336 11254 Tangent vector at the specified length e00a0eb1-1934-4e05-a54f-71a6ad6deb6a true Tangent Tangent false 0 9308 11264 53 20 9336 11274 Curve parameter at the specified length ecd463ee-9bdd-483a-b953-84ac6ae18ae3 true Parameter Parameter false 0 9308 11284 53 20 9336 11294 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true a04706b6-5974-46f2-8142-af0e5eb2e404 true Rotate Rotate 9222 11159 138 64 9290 11191 Base geometry f2e4711c-35ff-476a-8f95-68f9490f3f8b true Geometry Geometry true f43c56d1-3f88-4554-ac88-2c9d52d60ce3 1 9224 11161 51 20 9251 11171 Rotation angle in radians b058f46c-fc27-4024-9778-97edb3ee873e true Angle Angle false 0 false 9224 11181 51 20 9251 11191 1 1 {0} 3.1415926535897931 Rotation plane 84a97add-29ad-4eaf-a223-307a04b535ec true Plane Plane false af7fa660-384b-4638-94b8-7f96d03bbdfa 1 9224 11201 51 20 9251 11211 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry ea798e10-519f-4e29-b14b-b017599dacda true Geometry Geometry false 0 9305 11161 53 30 9333 11176 Transformation data 6243ee3b-645d-493b-aad6-54cccde3003e true Transform Transform false 0 9305 11191 53 30 9333 11206 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 13ca4a8a-17a9-474d-8d12-e869ded133d6 true Join Curves Join Curves 9232 11096 118 44 9295 11118 1 Curves to join 379e054e-327a-408a-b768-11aeb7c8d88b true Curves Curves false f43c56d1-3f88-4554-ac88-2c9d52d60ce3 ea798e10-519f-4e29-b14b-b017599dacda 2 9234 11098 46 20 9258.5 11108 Preserve direction of input curves 379fa5f7-0f0f-4702-97f5-1951f0d39c24 true Preserve Preserve false 0 9234 11118 46 20 9258.5 11128 1 1 {0} false 1 Joined curves and individual curves that could not be joined. cbdd2b86-77b6-4da7-ac7d-29a5d26dfeaa true Curves Curves false 0 9310 11098 38 40 9330.5 11118 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9dd91ab6-75a6-48ce-93cd-2b30e34153fb 84ce8d06-633a-4b85-9d58-99f099ae4242 80d375d4-8b07-4dee-8779-6702412242e0 44d495d1-0282-469c-bae8-1b7b114e82aa 141df525-4941-4245-9dbb-7aa96ad0ef17 82650166-1a70-400b-ba95-f48c82cf522a a04706b6-5974-46f2-8142-af0e5eb2e404 13ca4a8a-17a9-474d-8d12-e869ded133d6 172ff63d-e54e-444f-834d-cfeef2a85dc7 c8993beb-b45b-4c31-9990-7eb86ffdc60d 1208fa26-35cd-449c-8bab-d5024ce56926 e9fa65ea-db30-4e31-abf4-2dd776fcae3e 9acdadaa-96e4-4e3f-b354-95632380b4b1 30884d74-7a79-4131-9e30-3d6188286538 993a4bbf-a82f-4209-b544-cec1a75b5c95 15 d64cd4a9-d31e-4b3c-906c-9e3339a4665b Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8313ef34-90a3-4468-9c25-12254136998b true Panel false 0 3c01166c-f0a6-4a88-93ac-c5c19c376a87 1 Double click to edit panel content… 9223 13732 145 20 0 0 0 9223.014 13732.16 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 172ff63d-e54e-444f-834d-cfeef2a85dc7 true Curve Curve false cbdd2b86-77b6-4da7-ac7d-29a5d26dfeaa 1 9271 11059 50 24 9296.593 11071.74 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 172ff63d-e54e-444f-834d-cfeef2a85dc7 1 307c6d55-e3a7-42a1-b0db-9f791b11eff0 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4935389c-f07e-4524-8242-4a47ef4fb7f9 true Panel false 0 0 0.35721403168191375/4/4 9076 13940 439 20 0 0 0 9076.574 13940.25 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 4613d0c7-efad-43cd-941c-5cf519f01adc true Evaluate Length Evaluate Length 9219 10970 144 64 9293 11002 Curve to evaluate 1ac88282-f977-4d25-8900-d1d6ef298912 true Curve Curve false cbdd2b86-77b6-4da7-ac7d-29a5d26dfeaa 1 9221 10972 57 20 9251 10982 Length factor for curve evaluation eb6ed6e2-fa2d-4e88-829d-3c29000835f3 true Length Length false 0 9221 10992 57 20 9251 11002 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 1df8c5a7-83db-4347-ac42-38af50920b4a true Normalized Normalized false 0 9221 11012 57 20 9251 11022 1 1 {0} true Point at the specified length ed65d188-a3f6-4c2f-8cc3-5d57e4df4a3c true Point Point false 0 9308 10972 53 20 9336 10982 Tangent vector at the specified length 41a04ed1-42e0-4179-9cbc-186ba6a6d75c true Tangent Tangent false 0 9308 10992 53 20 9336 11002 Curve parameter at the specified length 1e710b0c-83cc-4f68-b24d-eb671c22dd9a true Parameter Parameter false 0 9308 11012 53 20 9336 11022 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 803d6eef-8fc3-4891-b72a-0d1509b172b5 true Expression Expression 9194 10748 194 28 9294 10762 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e484ee6e-5009-4533-a443-e56c691fe550 true Variable O O true dcea8318-4462-4721-818c-6661172d9f46 1 9196 10750 14 24 9204.5 10762 Result of expression cf654097-b4ec-4b47-a624-e30607dcdd52 true Result false 0 9377 10750 9 24 9383 10762 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true ace18051-a13a-43c1-b49d-1eb9257a0199 true Deconstruct Deconstruct 9225 10882 132 64 9272 10914 Input point b8ff2131-7592-4744-b7e1-d57cc4ff9f66 true Point Point false ed65d188-a3f6-4c2f-8cc3-5d57e4df4a3c 1 9227 10884 30 60 9243.5 10914 Point {x} component dcea8318-4462-4721-818c-6661172d9f46 true X component X component false 0 9287 10884 68 20 9322.5 10894 Point {y} component ecdf5289-9397-4cbd-9569-1f270b0025d4 true Y component Y component false 0 9287 10904 68 20 9322.5 10914 Point {z} component 85a5b295-95b1-4c4c-8a9b-ee1d2f11543a true Z component Z component false 0 9287 10924 68 20 9322.5 10934 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 83bcd048-d0fa-430f-8b3b-500b492ac590 true Panel false 0 cf654097-b4ec-4b47-a624-e30607dcdd52 1 Double click to edit panel content… 9215 10725 160 20 0 0 0 9215.362 10725.32 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d7b860ab-9124-433b-ae6c-b3d14e797346 true Expression Expression 9194 10662 194 28 9294 10676 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f535c1ca-18d7-4c5b-9820-1a2c3a925fde true Variable O O true ecdf5289-9397-4cbd-9569-1f270b0025d4 1 9196 10664 14 24 9204.5 10676 Result of expression bf298f6b-c168-4187-99d3-52b41d3381af true Result false 0 9377 10664 9 24 9383 10676 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f8da6e13-27a9-441f-82bb-751c752b32bf true Panel false 0 bf298f6b-c168-4187-99d3-52b41d3381af 1 Double click to edit panel content… 9215 10636 160 20 0 0 0 9215.362 10636.89 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true c118a0fa-1192-4a02-bd3c-43ff79e6d313 true Division Division 9250 10560 82 44 9281 10582 Item to divide (dividend) c9b48328-a28e-4154-99f2-bb9ae2bafa90 true A A false 83bcd048-d0fa-430f-8b3b-500b492ac590 1 9252 10562 14 20 9260.5 10572 Item to divide with (divisor) e2078d84-29cd-49d0-9fbc-81a12cd552b1 true B B false f8da6e13-27a9-441f-82bb-751c752b32bf 1 9252 10582 14 20 9260.5 10592 The result of the Division 4707558e-4f6c-4d08-a9ce-774549099616 true Result Result false 0 9296 10562 34 40 9314.5 10582 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 720b6578-cc9c-48d0-9307-02714aaef24b true Panel false 0 3c01166c-f0a6-4a88-93ac-c5c19c376a87 1 Double click to edit panel content… 9215 10489 160 20 0 0 0 9215.603 10489.38 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 9180f22d-6524-4aae-91d0-10a92e93f8c1 true Expression Expression 9194 10513 194 28 9294 10527 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 0a020148-b993-48dc-a739-ee780f114b00 true Variable O O true 4707558e-4f6c-4d08-a9ce-774549099616 1 9196 10515 14 24 9204.5 10527 Result of expression e0df863f-0609-4335-b87e-3d667f2818ec true Result false 0 9377 10515 9 24 9383 10527 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3c01166c-f0a6-4a88-93ac-c5c19c376a87 true Relay false e0df863f-0609-4335-b87e-3d667f2818ec 1 9271 10438 40 16 9291 10446 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 213a0814-ab74-42a4-9fdb-216c876eec66 true Addition Addition 9250 10375 82 44 9281 10397 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 470c78c0-e34b-4999-8562-50933ca277ba true A A true f8da6e13-27a9-441f-82bb-751c752b32bf 1 9252 10377 14 20 9260.5 10387 Second item for addition be18d145-1140-4dd5-8eaf-2104492a0de0 true B B true 83bcd048-d0fa-430f-8b3b-500b492ac590 1 9252 10397 14 20 9260.5 10407 Result of addition ef000462-7d92-4f67-ace9-64ae6584d4b8 true Result Result false 0 9296 10377 34 40 9314.5 10397 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true b226b6d8-5cd2-4cef-86d7-b36c65b97de6 true Division Division 9250 10225 82 44 9281 10247 Item to divide (dividend) f87413b3-9faf-46a5-a180-b288078b4b0c true A A false 0a8930ac-b09d-4f87-b49c-2f40967ade30 1 9252 10227 14 20 9260.5 10237 Item to divide with (divisor) 3a96c9bf-8e51-4546-a673-2dc37842d689 true B B false 0 9252 10247 14 20 9260.5 10257 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 98d5a869-fbb0-44c3-8045-e5adad20d28f true Result Result false 0 9296 10227 34 40 9314.5 10247 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true f67d9f4c-56da-41d5-8c82-7441814e2c85 true Expression Expression 9194 10177 194 28 9294 10191 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 0efb9ff9-55fb-49cc-88ef-726a46de14c8 true Variable O O true 98d5a869-fbb0-44c3-8045-e5adad20d28f 1 9196 10179 14 24 9204.5 10191 Result of expression f9fc978a-007a-407e-90eb-b1a3f716c5d0 true Result false 0 9377 10179 9 24 9383 10191 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c611f570-ad63-4756-a6fb-1677ee1128e3 true Panel false 0 f9fc978a-007a-407e-90eb-b1a3f716c5d0 1 Double click to edit panel content… 9215 10153 160 20 0 0 0 9215.362 10153.24 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 0a8930ac-b09d-4f87-b49c-2f40967ade30 true Panel false 0 eb3b65ef-5abc-47ce-9d0e-2bc308f3f05c 1 Double click to edit panel content… 9215 10305 160 20 0 0 0 9215.362 10305.15 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true caced6a5-77f5-4a1f-87e5-7a507a1ae158 true Expression Expression 9194 10328 194 28 9294 10342 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 5b018c75-fd8b-475b-a822-bdfbcb28840f true Variable O O true ef000462-7d92-4f67-ace9-64ae6584d4b8 1 9196 10330 14 24 9204.5 10342 Result of expression eb3b65ef-5abc-47ce-9d0e-2bc308f3f05c true Result false 0 9377 10330 9 24 9383 10342 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 50f612ca-6a0a-47b4-8fc9-bad763a08dc9 true Scale Scale 9214 10054 154 64 9298 10086 Base geometry b351ce39-a5be-419b-bc41-725227d0ede9 true Geometry Geometry true 172ff63d-e54e-444f-834d-cfeef2a85dc7 1 9216 10056 67 20 9259 10066 Center of scaling 4909aa96-7b9d-42d3-89ad-293af250bf2b true Center Center false 0 9216 10076 67 20 9259 10086 1 1 {0} 0 0 0 Scaling factor d7041b9b-f893-45bb-b4cd-390c4a3b2394 1/X true Factor Factor false c611f570-ad63-4756-a6fb-1677ee1128e3 1 9216 10096 67 20 9259 10106 1 1 {0} 0.5 Scaled geometry 41c38292-40ac-4837-a7e7-51adbae97a31 true Geometry Geometry false 0 9313 10056 53 30 9341 10071 Transformation data b39227d0-da81-4913-bb64-c10b36e8ac12 true Transform Transform false 0 9313 10086 53 30 9341 10101 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true f85f3458-b345-4cb9-b89c-3dfad93a636a true Curve Curve false 41c38292-40ac-4837-a7e7-51adbae97a31 1 9269 9458 50 24 9294.343 9470.74 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 6b93d7d0-45fb-45a0-bea0-8005836d7e60 true Expression Expression 9194 10835 194 28 9294 10849 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2b031595-0114-4b20-91c1-3ec9a6f640fb true Variable O O true 85a5b295-95b1-4c4c-8a9b-ee1d2f11543a 1 9196 10837 14 24 9204.5 10849 Result of expression e10d9ce4-f261-4302-84e8-f9f927880f20 true Result false 0 9377 10837 9 24 9383 10849 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1d906e19-2e90-4b08-a90d-ac1b5243f4af true Panel false 0 e10d9ce4-f261-4302-84e8-f9f927880f20 1 Double click to edit panel content… 9216 10811 160 20 0 0 0 9216.232 10811.09 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 9f1bed51-60ef-42bf-8096-04570ace019e true Evaluate Length Evaluate Length 9219 9844 144 64 9293 9876 Curve to evaluate d680a6ea-4645-4671-b4f8-b93da93835cd true Curve Curve false 41c38292-40ac-4837-a7e7-51adbae97a31 1 9221 9846 57 20 9251 9856 Length factor for curve evaluation 302ad02d-818c-458d-8b67-418dd83c5d66 true Length Length false 0 9221 9866 57 20 9251 9876 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 86cde452-4286-49b9-ae1d-dab4289d5298 true Normalized Normalized false 0 9221 9886 57 20 9251 9896 1 1 {0} true Point at the specified length d921b6dc-e6ef-4578-99ba-1ca29f3e0dcd true Point Point false 0 9308 9846 53 20 9336 9856 Tangent vector at the specified length 3a3f618c-4c35-418f-860f-9749a6b87b59 true Tangent Tangent false 0 9308 9866 53 20 9336 9876 Curve parameter at the specified length 311397ff-2d1b-45e5-a6ef-8fe2723ef4f4 true Parameter Parameter false 0 9308 9886 53 20 9336 9896 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b7772b7e-c7ba-400e-91c0-2338ccd91e6b true Expression Expression 9194 9627 194 28 9294 9641 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable c30eabfa-9866-4ee8-9efd-63f6e2783fd4 true Variable O O true 393d33c6-b5e2-46bf-a025-6ffdd399b22f 1 9196 9629 14 24 9204.5 9641 Result of expression 3646ed69-ade4-4608-bfc7-ad7554937824 true Result false 0 9377 9629 9 24 9383 9641 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true d1624b40-e462-4048-8f8d-3f14c45083a9 true Deconstruct Deconstruct 9225 9761 132 64 9272 9793 Input point 05935f3a-1dca-43b1-9f36-9153b01c5c7c true Point Point false d921b6dc-e6ef-4578-99ba-1ca29f3e0dcd 1 9227 9763 30 60 9243.5 9793 Point {x} component 393d33c6-b5e2-46bf-a025-6ffdd399b22f true X component X component false 0 9287 9763 68 20 9322.5 9773 Point {y} component a5ab5605-3cf3-407d-89e8-886683c380ae true Y component Y component false 0 9287 9783 68 20 9322.5 9793 Point {z} component 0a45fb63-5d3b-4bcd-8a4d-88c384ce2920 true Z component Z component false 0 9287 9803 68 20 9322.5 9813 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 90499343-ea4d-48db-8ecd-c73332b983b6 true Panel false 0 3646ed69-ade4-4608-bfc7-ad7554937824 1 Double click to edit panel content… 9215 9598 160 20 0 0 0 9215.612 9598.66 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 73fd317c-8b54-429b-91b1-65298c28a8ba true Expression Expression 9194 9541 194 28 9294 9555 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3f8a4cad-6c7c-4149-a15b-67977b46355b true Variable O O true a5ab5605-3cf3-407d-89e8-886683c380ae 1 9196 9543 14 24 9204.5 9555 Result of expression ed594e86-224d-461d-ab93-50b60377f0d6 true Result false 0 9377 9543 9 24 9383 9555 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b45428d6-2c80-4814-993d-02f4893b26a6 true Panel false 0 ed594e86-224d-461d-ab93-50b60377f0d6 1 Double click to edit panel content… 9215 9513 160 20 0 0 0 9215.624 9513.031 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b6b196ef-2842-4803-b7c1-49fe08c11203 true Expression Expression 9194 9713 194 28 9294 9727 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3ad379ea-eb49-4406-98d0-14fbbfb9280f true Variable O O true 0a45fb63-5d3b-4bcd-8a4d-88c384ce2920 1 9196 9715 14 24 9204.5 9727 Result of expression 61a94372-a0d6-4cc9-bcc5-027067de7991 true Result false 0 9377 9715 9 24 9383 9727 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values cd0aa9c7-f698-4083-8c48-93e774e27f13 true Panel false 0 61a94372-a0d6-4cc9-bcc5-027067de7991 1 Double click to edit panel content… 9215 9684 160 20 0 0 0 9215.362 9684.871 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 5d39145e-2afd-40c3-9f19-3be03cd8e940 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 9114 14019 379 104 0 0 0 9114.019 14019.32 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d92ee07f-096c-44bd-9f99-31909c8fc35b true Panel false 0 9a33b66c-90bf-4d36-a63b-cc8307500888 1 Double click to edit panel content… 9127 12048 337 276 0 0 0 9127.554 12048.66 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 1f9c820d-c6a5-4943-b20d-bc4eaa2943a8 true Expression Expression 9194 12335 194 28 9294 12349 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f8fe4245-b6ab-46b1-b821-a57301a4a126 true Variable O O true 4ff605e6-a509-4af8-9890-63cf4e497a61 1 9196 12337 14 24 9204.5 12349 Result of expression 9a33b66c-90bf-4d36-a63b-cc8307500888 true Result false 0 9377 12337 9 24 9383 12349 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers ffab67ab-18ec-45a4-aa0f-a657ab7a28ad true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 9279 14448 50 24 9304.325 14460.96 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true da61e8d2-e7e5-424f-aba4-e696dcf5d685 true Curve Graph Mapper Curve Graph Mapper 9122 12617 160 224 9190 12729 1 One or multiple graph curves to graph map values with e500bf0b-4708-4831-b576-9ec4fcdf09a4 true Curves Curves false ee07fea5-e231-490f-8b21-7edc29afcd22 1 9124 12619 51 27 9151 12632.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 55a5935f-b713-43c6-91df-16f2083e2821 true Rectangle Rectangle false cc13e18e-fa92-4e6b-9ec0-8a53b47c25a9 1 9124 12646 51 28 9151 12660.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 1b4f836c-242d-44ce-ad86-a170412ab8e5 true Values Values false 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 1 9124 12674 51 27 9151 12687.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 74369cc4-1797-4d03-94d9-95d8480376d4 true X Axis X Axis true 0 9124 12701 51 28 9151 12715.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 72475106-68d5-49e6-bb1e-db1dfeea3cc3 true Y Axis Y Axis true 0 9124 12729 51 27 9151 12742.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 59de63e5-079b-47b0-b047-c69e4a1d0848 true Flip Flip false 0 9124 12756 51 28 9151 12770.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 6d6c9fec-83ce-4043-a747-4e5f87f113a0 true Snap Snap false 0 9124 12784 51 27 9151 12797.75 1 1 {0} true Size of the graph labels e13af5cb-9565-4d31-81f5-821ca1729c78 true Text Size Text Size false 0 9124 12811 51 28 9151 12825.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 11ba84f1-b66b-4b32-b0b0-311544d960f6 true Mapped Mapped false 0 9205 12619 75 20 9244 12629 1 The graph curves inside the boundary of the graph 5b0ec43e-1db7-4e33-aaea-6133bac9ed2b true Graph Curves Graph Curves false 0 9205 12639 75 20 9244 12649 1 The points on the graph curves where the X Axis input values intersected true bace6a17-5de3-494a-af7a-9b0462e4511d true Graph Points Graph Points false 0 9205 12659 75 20 9244 12669 1 The lines from the X Axis input values to the graph curves true 14eef7f8-6d08-41ab-b409-7b1150face2b true Value Lines Value Lines false 0 9205 12679 75 20 9244 12689 1 The points plotted on the X Axis which represent the input values true f6cd9617-d61b-4e3f-be7a-939ce1cc8723 true Value Points Value Points false 0 9205 12699 75 20 9244 12709 1 The lines from the graph curves to the Y Axis graph mapped values true 9d331249-3761-431e-84af-4cdfd4ebc593 true Mapped Lines Mapped Lines false 0 9205 12719 75 20 9244 12729 1 The points mapped on the Y Axis which represent the graph mapped values true 0facdca8-f514-41af-adc2-de99863bde9f true Mapped Points Mapped Points false 0 9205 12739 75 20 9244 12749 The graph boundary background as a surface 418c8682-e61a-4b7c-856b-d72426c55c16 true Boundary Boundary false 0 9205 12759 75 20 9244 12769 1 The graph labels as curve outlines c6fc3a10-3122-4fa6-9c7d-193ff6e2bbd1 true Labels Labels false 0 9205 12779 75 20 9244 12789 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds 6f1f68c4-6623-41e1-931d-82065930c133 true Out Of Bounds Out Of Bounds false 0 9205 12799 75 20 9244 12809 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 788acccd-f8a5-4bf3-863c-63ea8171e9fb true Intersected Intersected false 0 9205 12819 75 20 9244 12829 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 44b8b5fa-fa61-4ad1-9bee-b17fe91ef637 true End Points End Points 9243 13042 96 44 9293 13064 Curve to evaluate b3c86617-3d11-4c04-b39c-c9bcb9fb3bc1 true Curve Curve false ee07fea5-e231-490f-8b21-7edc29afcd22 1 9245 13044 33 40 9263 13064 Curve start point 9c543a18-b693-40dc-af5a-2ac6f01a78b3 true Start Start false 0 9308 13044 29 20 9324 13054 Curve end point 5dc904f7-c89d-4e04-921c-61b75435e58f true End End false 0 9308 13064 29 20 9324 13074 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 697fad89-ed0c-4b19-a017-0f7aa40a3970 true Rectangle 2Pt Rectangle 2Pt 9228 12940 126 84 9286 12982 Rectangle base plane 9a53928f-96e5-467a-b224-5211cd437a17 true Plane Plane false 0 9230 12942 41 20 9252 12952 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. ef4f375a-26f7-4756-8f39-b94aeb7f2184 true Point A Point A false 9c543a18-b693-40dc-af5a-2ac6f01a78b3 1 9230 12962 41 20 9252 12972 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 8949fbf1-f53c-4e96-8f8a-6102f1d71e50 true Point B Point B false 5dc904f7-c89d-4e04-921c-61b75435e58f 1 9230 12982 41 20 9252 12992 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius bbddf918-e457-4b94-8147-80acddcbe50a true Radius Radius false 0 9230 13002 41 20 9252 13012 1 1 {0} 0 Rectangle defined by P, A and B cc13e18e-fa92-4e6b-9ec0-8a53b47c25a9 true Rectangle Rectangle false 0 9301 12942 51 40 9328 12962 Length of rectangle curve 718c1de5-0921-4086-b353-a7041f0f57bd true Length Length false 0 9301 12982 51 40 9328 13002 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true 2e222f5d-dddb-46ef-a284-074cfd8fbb0d true GraphMapper+ GraphMapper+ true 9282 12737 126 104 9349 12789 External curve as a graph 881d7006-f6cb-4f3a-a677-c3e4bc0319b2 true Curve Curve false ee07fea5-e231-490f-8b21-7edc29afcd22 1 9284 12739 50 20 9310.5 12749 Optional Rectangle boundary. If omitted the curve's would be landed a9e28367-1877-4d4d-b87f-06c9352bada3 true Boundary Boundary true cc13e18e-fa92-4e6b-9ec0-8a53b47c25a9 1 9284 12759 50 20 9310.5 12769 1 List of input numbers 850f6c27-937c-4926-955a-d00baa2fee1c true Numbers Numbers false 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 1 9284 12779 50 20 9310.5 12789 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 80a9b4df-e97f-4beb-a513-2da538f7eca4 true Input Input true fc0c07eb-e460-44e9-b49f-010dd7ee264b 1 9284 12799 50 20 9310.5 12809 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 9c5b55fa-986e-4b13-bcc4-260aae6360cb true Output Output true fc0c07eb-e460-44e9-b49f-010dd7ee264b 1 9284 12819 50 20 9310.5 12829 1 Output Numbers 42eb47e6-9c62-4d8d-994a-74cec8b44aff true Number Number false 0 9364 12739 42 100 9386.5 12789 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 50873f75-0d1e-4717-8482-3b5d9a8fd067 true Stream Filter Stream Filter 9257 12534 89 64 9302 12566 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 4826c6c3-aa93-440e-ba73-13f384dfd020 true Gate Gate false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 9259 12536 28 20 9274.5 12546 1 1 {0} 0 2 Input stream at index 0 a2411043-42f0-4534-ab40-3e6b341c4f0b true false Stream 0 0 true 11ba84f1-b66b-4b32-b0b0-311544d960f6 1 9259 12556 28 20 9274.5 12566 2 Input stream at index 1 9424b08d-dc64-482f-a05a-3054f070bc2d true false Stream 1 1 true 42eb47e6-9c62-4d8d-994a-74cec8b44aff 1 9259 12576 28 20 9274.5 12586 2 Filtered stream ac57a99a-70b3-4c0f-a385-602f9f11134c true false Stream S(1) false 0 9317 12536 27 60 9332 12566 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 3677150c-4996-4121-8acc-6eff251fa7ab true Number Slider false 0 9225 12460 150 20 9225.982 12460.26 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 0c583e97-0764-47e8-a8bd-7880cc07c232 true Panel false 1 b2bf7e4a-b211-4688-aafa-add547525897 1 Double click to edit panel content… 9206 13235 185 271 0 0 0 9206.054 13235.52 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 46c776c4-7ca3-4b86-b1e5-54d4aaaa19b3 true Bounds Bounds 9232 13181 122 28 9296 13195 1 Numbers to include in Bounds 5b8c8460-0f3d-4383-9bcd-0c612c25b722 true Numbers Numbers false 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 1 9234 13183 47 24 9259 13195 Numeric Domain between the lowest and highest numbers in {N} fc0c07eb-e460-44e9-b49f-010dd7ee264b true Domain Domain false 0 9311 13183 41 24 9333 13195 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 1c12ee8d-94ec-462b-a5bc-882f08df648a true Expression Expression 9194 13595 194 28 9294 13609 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 502eaf4a-ffb6-4367-814a-a8314de27587 true Variable O O true 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 1 9196 13597 14 24 9204.5 13609 Result of expression b2bf7e4a-b211-4688-aafa-add547525897 true Result false 0 9377 13597 9 24 9383 13609 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 9aff4bc8-d0ea-4611-905e-7d68dfdef9d9 true Expression Expression 9108 13809 367 28 9294 13823 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2fb28a62-6ce8-4b63-9e3c-e245db22aedb true Variable O O true 54f44873-8d34-4412-9dda-78426a1a8b25 1 9110 13811 14 24 9118.5 13823 Result of expression 6227b81c-2695-495a-8438-386f2b55fd52 true Result false 0 9464 13811 9 24 9470 13823 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f83e7873-fd7d-4508-923c-0a1ccf1f5173 true Panel false 0 6227b81c-2695-495a-8438-386f2b55fd52 1 Double click to edit panel content… 9206 13772 179 20 0 0 0 9206.192 13772.38 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f85f3458-b345-4cb9-b89c-3dfad93a636a 1 627b51c5-9ba6-4062-990b-d2644fab7d08 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 8f563cb8-9910-4e8f-8b51-d6a1eb025af6 true Scale Scale 9214 9969 154 64 9298 10001 Base geometry 646f1f5e-342f-4ad3-9a54-f48c6520ce0d true Geometry Geometry true e9fa65ea-db30-4e31-abf4-2dd776fcae3e 1 9216 9971 67 20 9259 9981 Center of scaling 7052e9ef-5fb6-457a-b78f-b878dbc09380 true Center Center false 0 9216 9991 67 20 9259 10001 1 1 {0} 0 0 0 Scaling factor f7e20aa0-3838-4b02-8245-26bd6357e10d 1/X true Factor Factor false c611f570-ad63-4756-a6fb-1677ee1128e3 1 9216 10011 67 20 9259 10021 1 1 {0} 0.5 Scaled geometry d9aad32e-b6d7-4e88-a1c2-a9e84f1fff68 true Geometry Geometry false 0 9313 9971 53 30 9341 9986 Transformation data 060838a8-24a7-47ae-8b25-7b1c817a8dd8 true Transform Transform false 0 9313 10001 53 30 9341 10016 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true b3d7308b-bd5a-4724-b108-23089d3defeb true Point Point false d9aad32e-b6d7-4e88-a1c2-a9e84f1fff68 1 9270 9936 50 24 9295.343 9948.91 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 1d83bc70-a220-4c43-aab3-dfcbb61a9a4c true Mirror Mirror 9236 9329 138 44 9304 9351 Base geometry 6355b944-52b6-4c12-9965-f0d2ed3e99c7 true Geometry Geometry true f85f3458-b345-4cb9-b89c-3dfad93a636a 1 9238 9331 51 20 9265 9341 Mirror plane 079c86ac-fc90-470b-a0c6-a815603df048 true Plane Plane false 0 9238 9351 51 20 9265 9361 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 49675102-ada8-4da0-a13c-ab8b29f23b51 true Geometry Geometry false 0 9319 9331 53 20 9347 9341 Transformation data 7e331478-3c93-4f9d-8e1b-5aa5c2f60f97 true Transform Transform false 0 9319 9351 53 20 9347 9361 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true ac94063c-4ea8-4bd7-a1d9-331c5dae31b4 true Curve Curve false 700e1289-8912-478e-b981-8c721ed05a37 1 9277 9228 50 24 9302.593 9240.92 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object ee07fea5-e231-490f-8b21-7edc29afcd22 true Relay false e2c66b67-3d14-4ba5-bfb2-e25109ddbc91 1 9273 13109 40 16 9293 13117 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d4ee5f33-f554-4034-b7f6-14fd100d6a47 true Curve Curve false 3f7e3b9e-e49f-490c-9fac-9e238f044562 1 8840 13504 50 24 8865.092 13516.38 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true e2c66b67-3d14-4ba5-bfb2-e25109ddbc91 true Curve Curve false ef592b8f-92d2-4a2c-a563-1977cd6aad47 1 8839 13214 50 24 8864.188 13226.53 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true b7b2a002-a144-4b1e-a1c5-227412cac4b8 true Scale Scale 8783 13248 154 64 8867 13280 Base geometry dd31428e-0cd0-489c-abc3-9a74837b4489 true Geometry Geometry true d4ee5f33-f554-4034-b7f6-14fd100d6a47 1 8785 13250 67 20 8828 13260 Center of scaling 7b7ec746-f76c-48dc-a649-b09da857e68e true Center Center false 0 8785 13270 67 20 8828 13280 1 1 {0} 0 0 0 Scaling factor a09c0f0d-0d69-4260-831a-9fd11ef119f9 2^X true Factor Factor false 010c6158-cd42-4c79-868f-0276d9b2f3fa 1 8785 13290 67 20 8828 13300 1 1 {0} 1 Scaled geometry ef592b8f-92d2-4a2c-a563-1977cd6aad47 true Geometry Geometry false 0 8882 13250 53 30 8910 13265 Transformation data 3832caa9-5a38-418b-b7bf-5e1e9b40efeb true Transform Transform false 0 8882 13280 53 30 8910 13295 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d4ee5f33-f554-4034-b7f6-14fd100d6a47 e2c66b67-3d14-4ba5-bfb2-e25109ddbc91 b7b2a002-a144-4b1e-a1c5-227412cac4b8 27899f96-8899-44d3-a06c-50d23c4c5623 82fbeaaf-eadf-485f-82d0-b4fb6356a6b5 1f5227c9-0bd8-46a9-92eb-b4cc68012211 f86306f1-c8d9-4880-859a-aabecea31011 fe6da4e4-f011-449c-a16e-76977f2cf8e6 010c6158-cd42-4c79-868f-0276d9b2f3fa 517de05e-10b8-4c63-a805-3bfd4a055d28 77810d07-6a5e-4230-97d8-292cb1c543b4 11 e89ccdeb-a509-49db-a074-10e074a5cdfe Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 99ca1918-5b9f-48be-a244-7eba09c2a10c true Move Move 9236 9265 138 44 9304 9287 Base geometry cd198352-59ee-4d6e-94c5-12c6a4f5f2bc true Geometry Geometry true f85f3458-b345-4cb9-b89c-3dfad93a636a 1 9238 9267 51 20 9265 9277 Translation vector 77d6f118-5300-4296-bb33-0a74b10fb2d3 true Motion Motion false 0 9238 9287 51 20 9265 9297 1 1 {0} 10 0 0 Translated geometry 700e1289-8912-478e-b981-8c721ed05a37 true Geometry Geometry false 0 9319 9267 53 20 9347 9277 Transformation data 1a7dadfe-a664-4d8b-8f99-7f79657960ba true Transform Transform false 0 9319 9287 53 20 9347 9297 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 82fbeaaf-eadf-485f-82d0-b4fb6356a6b5 true Digit Scroller false 0 12 2 0.0000000000 8736 13460 250 20 8736.918 13460.76 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1f5227c9-0bd8-46a9-92eb-b4cc68012211 true Panel false 0 0 16.93121320041889709 8796 13339 144 20 0 0 0 8796.655 13339.24 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true f86306f1-c8d9-4880-859a-aabecea31011 true Curve Curve false 0 8839 13171 50 24 8864.188 13183.53 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true fe6da4e4-f011-449c-a16e-76977f2cf8e6 true Curve Curve false 0 8842 13641 50 24 8867.688 13653.48 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 31d5333d-2f3d-4ecd-b423-21f29b7f4ae5 true Panel false 0 0 0.00137956207 9076 13982 439 20 0 0 0 9076.574 13982.85 255;255;255;255 false false true false false true 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true adc9af1f-6618-430b-878e-74d0382907f3 true End Points End Points 9661 9960 96 44 9711 9982 Curve to evaluate ac5b0219-e862-4b32-a338-c8d0d993eb88 true Curve Curve false d8b30c72-4c75-49c2-9897-3a886d8b0b00 1 9663 9962 33 40 9681 9982 Curve start point 9bb167c2-4add-4cc1-829c-ff4cf603938f true Start Start false 0 9726 9962 29 20 9742 9972 Curve end point 8e693133-5b75-4f5d-8672-b4970127c1c6 true End End false 0 9726 9982 29 20 9742 9992 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 617fc1e7-a4ed-4c98-92e0-dd4bc994a854 true Rectangle 2Pt Rectangle 2Pt 9646 9857 126 84 9704 9899 Rectangle base plane 8aef71c0-ddae-407b-9a99-a4d1c46b3846 true Plane Plane false 0 9648 9859 41 20 9670 9869 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. e3c600f1-da43-4003-8817-1f6545f0e601 true Point A Point A false 9bb167c2-4add-4cc1-829c-ff4cf603938f 1 9648 9879 41 20 9670 9889 1 1 {0} 0 0 0 Second corner point. d5510864-a7dd-4004-af81-705cf49a96c5 true Point B Point B false 8e693133-5b75-4f5d-8672-b4970127c1c6 1 9648 9899 41 20 9670 9909 1 1 {0} 10 5 0 Rectangle corner fillet radius 257fb57a-99ac-44a6-9096-7340d07eec21 true Radius Radius false 0 9648 9919 41 20 9670 9929 1 1 {0} 0 Rectangle defined by P, A and B 0a67dc9b-4caf-41e3-8ade-bf99a13c8f62 true Rectangle Rectangle false 0 9719 9859 51 40 9746 9879 Length of rectangle curve b663e79e-25f5-4c3a-a18e-cb62704c8d38 true Length Length false 0 9719 9899 51 40 9746 9919 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects c03cf540-76a6-4eca-9036-4d3a467c372c 1 8f0c38e7-275b-4512-9c33-0dc8fe13dce8 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 07ce4975-8027-48f5-b1dd-799d75f55227 1 85fe1e3c-2f5a-43ce-9ab4-9ce1b14da7c7 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 97fa5528-d1af-4dff-b66b-8510b1b0723d 799111ff-a894-4037-975b-d2f9969e7e8e c224342c-801f-4459-9224-44879ddf539f 92d09aed-b1f5-40c3-998b-c15e31faa838 eb7774ed-5951-4ab5-8a4e-422674d17722 42069a71-d151-4dbd-8337-e9a35f50d4ba da98717c-d14f-48a8-9166-edd2eecf5c2e bade2dc2-5919-4723-bde3-ebdd9bc0713a dd14e3bf-8d3f-4586-aad2-35d0a0c949f7 eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef 85fe1e3c-2f5a-43ce-9ab4-9ce1b14da7c7 8f0c38e7-275b-4512-9c33-0dc8fe13dce8 d8844e6a-8ed6-47e6-b71d-3e8759974784 2466d393-59b0-44a7-9bd6-a60e3db2a1c6 dcf57667-d488-4173-a38b-e201d6714472 a9982cc5-6f10-4b54-adef-fa826b701d03 58091a26-9398-4dc8-a07a-187aacb3aeba 1dbe9a75-22aa-4f51-84fc-b8e986d66b5e 7a47c011-cbf4-4047-8c80-c1178ae035ab 3ef9ab54-9776-4aed-aee8-f1a09b0b6701 20 05264c8f-592a-476b-80f9-5b962afd2102 Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 97fa5528-d1af-4dff-b66b-8510b1b0723d true Duplicate Data Duplicate Data 11188 14326 104 64 11247 14358 1 Data to duplicate 273777b5-63c7-4554-8ade-40bc7c166f1e true Data Data false d2af385a-c99b-412b-875e-b7f232cf85d5 1 11190 14328 42 20 11212.5 14338 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 88b90c14-24ef-4b27-838f-c5e1dc1f3b01 true Number Number false 3b1f7922-4b7e-4166-983c-75cb3eb8a170 1 11190 14348 42 20 11212.5 14358 1 1 {0} 500 Retain list order 346ed1af-e879-4418-a63a-d4517ce4c44e true Order Order false 0 11190 14368 42 20 11212.5 14378 1 1 {0} true 1 Duplicated data e85bb288-0b73-4631-9ca9-b495a29c7a2e true Data Data false 0 11262 14328 28 60 11277.5 14358 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 799111ff-a894-4037-975b-d2f9969e7e8e true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 11174 12398 116 44 11235 12420 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward b77c12a2-ec4f-4dca-80a6-898b8c983661 true Forward Forward true 1 true e85bb288-0b73-4631-9ca9-b495a29c7a2e 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 11176 12400 44 20 11199.5 12410 1 false Script Variable Left 7c56eed6-933c-49e0-a940-33041919ee4e true Left Left true 1 true 2051c393-183d-424b-8496-cd6a361d114b 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 11176 12420 44 20 11199.5 12430 Print, Reflect and Error streams f23e7782-d952-4671-8ef8-5b08eb1e4790 true Output Output false 0 11250 12400 38 20 11270.5 12410 Output parameter Points 6675e784-7e56-4b18-8b5b-3311ab42d31a true Points Points false 0 11250 12420 38 20 11270.5 12430 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 92d09aed-b1f5-40c3-998b-c15e31faa838 true Series Series 11185 13655 101 64 11235 13687 First number in the series 7ce218dd-2717-404e-9ac3-dfed36bf0bf1 true Start Start false 0 11187 13657 33 20 11205 13667 1 1 {0} 0 Step size for each successive number f7e99b0e-cf72-47db-acfd-b926c724caad true Step Step false 756d2d51-d7f6-4402-9d75-aad4ee697736 1 11187 13677 33 20 11205 13687 1 1 {0} 1 Number of values in the series aa269e61-4b90-4db9-8c0c-2001ff3fc67c true Count Count false 3b1f7922-4b7e-4166-983c-75cb3eb8a170 1 11187 13697 33 20 11205 13707 1 Series of numbers 3922bdee-0233-40b3-8d10-a0a0cd81b6ab true Series Series false 0 11250 13657 34 60 11268.5 13687 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values eb7774ed-5951-4ab5-8a4e-422674d17722 true Number Slider false 0 11171 14506 150 20 11171.01 14506.33 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 42069a71-d151-4dbd-8337-e9a35f50d4ba true Radians Radians 11174 13872 120 28 11235 13886 Angle in degrees 69a2b85d-c1c8-495f-a565-7cc67dd8b2e9 true Degrees Degrees false cce1227a-54c9-49c2-b6fc-09416f38af63 1 11176 13874 44 24 11199.5 13886 Angle in radians 6ab8d1eb-c048-4e31-be0c-e13b590101c4 true Radians Radians false 0 11250 13874 42 24 11272.5 13886 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers da98717c-d14f-48a8-9166-edd2eecf5c2e true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 11111 14181 251 20 11111.72 14181.6 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef true Interpolate (t) Interpolate (t) 11160 11633 144 84 11246 11675 1 Interpolation points b69a07e8-dd90-4055-bd3d-d1f456cc5f2b true Vertices Vertices false c86ec8a3-9ea7-4981-9a9d-edda0165242c 1 11162 11635 69 20 11198 11645 Tangent at start of curve 1901724b-21a1-444a-b82f-9defb71de72e true Tangent Start Tangent Start false 0 11162 11655 69 20 11198 11665 1 1 {0} 0.0625 0 0 Tangent at end of curve aac5daa1-5440-4fad-a59c-70b69b4e7c2d true Tangent End Tangent End false 0 11162 11675 69 20 11198 11685 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) b3b5bae3-b7a6-41b7-9944-b7171388e0c2 true KnotStyle KnotStyle false 0 11162 11695 69 20 11198 11705 1 1 {0} 2 Resulting nurbs curve 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b true Curve Curve false 0 11261 11635 41 26 11283 11648.33 Curve length e65f2032-b1f4-4d2f-90f9-86477a6e223c true Length Length false 0 11261 11661 41 27 11283 11675 Curve domain ee33a623-0089-4e90-ac66-4f4e97759337 true Domain Domain false 0 11261 11688 41 27 11283 11701.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 97fa5528-d1af-4dff-b66b-8510b1b0723d 799111ff-a894-4037-975b-d2f9969e7e8e c224342c-801f-4459-9224-44879ddf539f 92d09aed-b1f5-40c3-998b-c15e31faa838 eb7774ed-5951-4ab5-8a4e-422674d17722 42069a71-d151-4dbd-8337-e9a35f50d4ba da98717c-d14f-48a8-9166-edd2eecf5c2e bade2dc2-5919-4723-bde3-ebdd9bc0713a 3b6e3bdb-033f-4638-95fc-9a56faba2fdb e8a97c6e-2791-4014-9d84-cc711e836f99 3f37173e-5d6c-40dd-8cc1-b846e92fd738 7516f2d4-2a9b-4fdd-a932-aa5a77b81a08 618ef6f7-de00-4431-89c5-1f39302e094c b297a4bc-6ceb-462f-a794-9fe2bd6e73c9 14 dd14e3bf-8d3f-4586-aad2-35d0a0c949f7 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 04753d62-726c-4f0a-b953-215fae1965c1 true Evaluate Length Evaluate Length 11160 11465 144 64 11234 11497 Curve to evaluate 775bccae-e3db-45af-8fcd-154b93b7d840 true Curve Curve false 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b 1 11162 11467 57 20 11192 11477 Length factor for curve evaluation 0de78bc5-97dc-4c12-a0c3-7f5c0c6482ba true Length Length false 0 11162 11487 57 20 11192 11497 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 4a121bf2-472b-4f16-a175-55a930861cf6 true Normalized Normalized false 0 11162 11507 57 20 11192 11517 1 1 {0} true Point at the specified length e5aee969-d839-4183-ba72-a80a5ff27f80 true Point Point false 0 11249 11467 53 20 11277 11477 Tangent vector at the specified length f6381e3b-b9f3-4331-b1eb-a5fa1815abe8 true Tangent Tangent false 0 11249 11487 53 20 11277 11497 Curve parameter at the specified length b5519545-829e-4294-ad3e-b418d2c391e7 true Parameter Parameter false 0 11249 11507 53 20 11277 11517 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true a16d2583-b304-4455-b1f8-443b2dfd903f true Mirror Mirror 11163 11403 138 44 11231 11425 Base geometry ef7bd927-8088-4452-b3f7-479883ea72df true Geometry Geometry true 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b 1 11165 11405 51 20 11192 11415 Mirror plane 0fb43728-5ecc-4d35-b3af-748c0b6c6ee7 true Plane Plane false 274f6ef7-cbef-49b4-80aa-6ba6bc9745cf 1 11165 11425 51 20 11192 11435 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry d5aa6ccd-1694-4b45-a780-ad02d5bc37a0 true Geometry Geometry false 0 11246 11405 53 20 11274 11415 Transformation data a1e8c81d-6797-4580-a27c-be2c36847f2f true Transform Transform false 0 11246 11425 53 20 11274 11435 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true b43e97f9-9efd-409a-9c38-8aca960258ee true Line SDL Line SDL 11179 11549 106 64 11243 11581 Line start point 2de69161-bd69-40dc-82ca-a93fb28ba0d3 true Start Start false e5aee969-d839-4183-ba72-a80a5ff27f80 1 11181 11551 47 20 11206 11561 Line tangent (direction) c339d068-c71d-46ca-aea7-fd3f77dce50d true Direction Direction false f6381e3b-b9f3-4331-b1eb-a5fa1815abe8 1 11181 11571 47 20 11206 11581 1 1 {0} 0 0 1 Line length b454c211-53ea-44fc-ac27-f6ac85273032 true Length Length false 0 11181 11591 47 20 11206 11601 1 1 {0} 1 Line segment 274f6ef7-cbef-49b4-80aa-6ba6bc9745cf true Line Line false 0 11258 11551 25 60 11272 11581 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 55ea1684-66d4-4e70-bf7e-36f8da5eb144 true Join Curves Join Curves 11173 11341 118 44 11236 11363 1 Curves to join ea2f7eeb-6aa0-4c54-bc0a-e5734e9802bf true Curves Curves false 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b d5aa6ccd-1694-4b45-a780-ad02d5bc37a0 2 11175 11343 46 20 11199.5 11353 Preserve direction of input curves caaf36c7-0e3d-4a33-932e-82d1308223c5 true Preserve Preserve false 0 11175 11363 46 20 11199.5 11373 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 0c4fa04b-0df7-4c77-bcef-4f44e825b58e true Curves Curves false 0 11251 11343 38 40 11271.5 11363 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 3f6cea5e-c88f-465c-88bc-98d162d76cc7 true Evaluate Length Evaluate Length 11160 11257 144 64 11234 11289 Curve to evaluate 28e20bff-7614-4269-a1a0-db7fa1b86b75 true Curve Curve false 0c4fa04b-0df7-4c77-bcef-4f44e825b58e 1 11162 11259 57 20 11192 11269 Length factor for curve evaluation 99a291e7-491e-404d-b96b-34eca24f583a true Length Length false 0 11162 11279 57 20 11192 11289 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 00385587-6b08-489d-8026-7cb66b324f45 true Normalized Normalized false 0 11162 11299 57 20 11192 11309 1 1 {0} true Point at the specified length 06379fb2-509d-4321-947c-f2c178e5f5cd true Point Point false 0 11249 11259 53 20 11277 11269 Tangent vector at the specified length 428199f5-776f-43d7-85d6-a51ed6af6d4d true Tangent Tangent false 0 11249 11279 53 20 11277 11289 Curve parameter at the specified length 9bd8189b-a8fc-4fe3-a55d-5635dc456164 true Parameter Parameter false 0 11249 11299 53 20 11277 11309 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 266dea25-3691-42cd-9388-199752211091 true Rotate Rotate 11163 11174 138 64 11231 11206 Base geometry 5f5d95ab-d319-4353-95f4-64c5e4272ee1 true Geometry Geometry true 0c4fa04b-0df7-4c77-bcef-4f44e825b58e 1 11165 11176 51 20 11192 11186 Rotation angle in radians b1111ec4-1375-4770-a4bc-23132c61cd3c true Angle Angle false 0 false 11165 11196 51 20 11192 11206 1 1 {0} 3.1415926535897931 Rotation plane 56fecd41-4f7c-4a5a-97fc-ec4c5c48396e true Plane Plane false 06379fb2-509d-4321-947c-f2c178e5f5cd 1 11165 11216 51 20 11192 11226 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry e4cfb605-76bf-43cf-a3d3-ac904e0f3856 true Geometry Geometry false 0 11246 11176 53 30 11274 11191 Transformation data 00e96f54-aa2b-4be4-8876-42f34a41e026 true Transform Transform false 0 11246 11206 53 30 11274 11221 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 560c22be-246f-444d-ae21-3eae4fdc2c5e true Join Curves Join Curves 11173 11111 118 44 11236 11133 1 Curves to join 4a044e93-4dd1-45dd-b514-5d042aad28b2 true Curves Curves false 0c4fa04b-0df7-4c77-bcef-4f44e825b58e e4cfb605-76bf-43cf-a3d3-ac904e0f3856 2 11175 11113 46 20 11199.5 11123 Preserve direction of input curves 6ea14958-538c-4716-b20b-4c5ee679d14f true Preserve Preserve false 0 11175 11133 46 20 11199.5 11143 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 91cd64d0-1038-4c7c-ab06-37f222bc885a true Curves Curves false 0 11251 11113 38 40 11271.5 11133 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef 04753d62-726c-4f0a-b953-215fae1965c1 a16d2583-b304-4455-b1f8-443b2dfd903f b43e97f9-9efd-409a-9c38-8aca960258ee 55ea1684-66d4-4e70-bf7e-36f8da5eb144 3f6cea5e-c88f-465c-88bc-98d162d76cc7 266dea25-3691-42cd-9388-199752211091 560c22be-246f-444d-ae21-3eae4fdc2c5e 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 ddda4732-6250-4450-a11a-010b13680da0 a3f6ca53-8639-4a50-8e51-9d73d0818a56 c86ec8a3-9ea7-4981-9a9d-edda0165242c 3fe7a6e2-d179-493c-a8f1-8105d057ade7 76aa88d4-0024-4f8d-bdda-fa012bf2b40c 3b353169-95e9-4680-9cf6-3f909e1356e1 15 07ce4975-8027-48f5-b1dd-799d75f55227 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 37e63a3e-af5a-41ef-8276-fb65806d30ae true Panel false 0 24a26a0a-2c77-42f7-817b-159896d7f078 1 Double click to edit panel content… 11164 13747 145 20 0 0 0 11164.75 13747.82 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 true Curve Curve false 91cd64d0-1038-4c7c-ab06-37f222bc885a 1 11213 11075 50 24 11238.33 11087.4 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 1 4db807a3-68da-4624-885c-4004466b221d Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e8a97c6e-2791-4014-9d84-cc711e836f99 true Panel false 0 0 0.35721403168191375/4/4 11018 13955 439 20 0 0 0 11018.31 13955.91 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true aee43447-61a8-4e59-9956-72dcbac410de true Evaluate Length Evaluate Length 11160 10985 144 64 11234 11017 Curve to evaluate c35d2e5d-281f-4483-b180-7bb189f7cff3 true Curve Curve false 91cd64d0-1038-4c7c-ab06-37f222bc885a 1 11162 10987 57 20 11192 10997 Length factor for curve evaluation 16c5614d-fbbf-44f4-8b42-6ce092f8aed7 true Length Length false 0 11162 11007 57 20 11192 11017 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 5d96f440-13d3-468b-8c2a-893764c36e3a true Normalized Normalized false 0 11162 11027 57 20 11192 11037 1 1 {0} true Point at the specified length 33a6e631-248f-4ae3-9fd3-be1c941ab1fa true Point Point false 0 11249 10987 53 20 11277 10997 Tangent vector at the specified length 1d104ba0-077b-4838-b542-d50f9432e84c true Tangent Tangent false 0 11249 11007 53 20 11277 11017 Curve parameter at the specified length 46d9c2a6-7e9b-49b2-b23b-fe64195fc4de true Parameter Parameter false 0 11249 11027 53 20 11277 11037 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b7b49fbf-17c8-43da-a6df-339d9a9a6557 true Expression Expression 11135 10763 194 28 11235 10777 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable a1a826a3-3fc8-4a16-a628-cb6ead0fa8cf true Variable O O true e1dc828c-fa8a-44bf-8a55-7cfe87d33a21 1 11137 10765 14 24 11145.5 10777 Result of expression 1c9a574f-b015-46e7-8efd-f3e721b77bc8 true Result false 0 11318 10765 9 24 11324 10777 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 4a0c4826-3100-4299-a630-853b544f4737 true Deconstruct Deconstruct 11166 10897 132 64 11213 10929 Input point d40f01bd-c2e6-4a47-9784-66bf3822a8d5 true Point Point false 33a6e631-248f-4ae3-9fd3-be1c941ab1fa 1 11168 10899 30 60 11184.5 10929 Point {x} component e1dc828c-fa8a-44bf-8a55-7cfe87d33a21 true X component X component false 0 11228 10899 68 20 11263.5 10909 Point {y} component c5576664-3ee6-412c-b7d8-27c89d237814 true Y component Y component false 0 11228 10919 68 20 11263.5 10929 Point {z} component 67160d2e-0586-4e44-a700-e8f407fb5b17 true Z component Z component false 0 11228 10939 68 20 11263.5 10949 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 01016d06-2882-4690-9359-fd036cf1bc89 true Panel false 0 1c9a574f-b015-46e7-8efd-f3e721b77bc8 1 Double click to edit panel content… 11157 10740 160 20 0 0 0 11157.1 10740.98 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d67a7210-fc04-4817-ba96-8ef643797ca8 true Expression Expression 11135 10677 194 28 11235 10691 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d12fe67b-3e03-49a7-8f85-c4080243f152 true Variable O O true c5576664-3ee6-412c-b7d8-27c89d237814 1 11137 10679 14 24 11145.5 10691 Result of expression f6bce4f4-0f8b-4c85-a75f-e2eee9818bc5 true Result false 0 11318 10679 9 24 11324 10691 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 39284689-e8f7-4167-8bbc-9ec3a75d5b77 true Panel false 0 f6bce4f4-0f8b-4c85-a75f-e2eee9818bc5 1 Double click to edit panel content… 11157 10652 160 20 0 0 0 11157.1 10652.55 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 088d3c70-70d6-4b21-9673-93bd3a7b5ae5 true Division Division 11191 10575 82 44 11222 10597 Item to divide (dividend) 1c67cf6f-c35a-4f7e-bd40-9e30bcad3812 true A A false 01016d06-2882-4690-9359-fd036cf1bc89 1 11193 10577 14 20 11201.5 10587 Item to divide with (divisor) 1f7bc369-e232-4f2d-b2ab-2d6ba04563f6 true B B false 39284689-e8f7-4167-8bbc-9ec3a75d5b77 1 11193 10597 14 20 11201.5 10607 The result of the Division b2037863-c8f3-481e-aa69-d6a680f5ab5e true Result Result false 0 11237 10577 34 40 11255.5 10597 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f5a8249a-5963-48e9-993b-d937df7e5887 true Panel false 0 24a26a0a-2c77-42f7-817b-159896d7f078 1 Double click to edit panel content… 11157 10505 160 20 0 0 0 11157.34 10505.04 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true c3e28a5d-c3ae-4a90-9942-c3881598e108 true Expression Expression 11135 10528 194 28 11235 10542 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 764d6eeb-86a3-4de2-b6ad-420891e006ff true Variable O O true b2037863-c8f3-481e-aa69-d6a680f5ab5e 1 11137 10530 14 24 11145.5 10542 Result of expression 33410658-a95f-4b96-bb5d-261751eac7df true Result false 0 11318 10530 9 24 11324 10542 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 24a26a0a-2c77-42f7-817b-159896d7f078 true Relay false 33410658-a95f-4b96-bb5d-261751eac7df 1 11212 10453 40 16 11232 10461 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 72662119-790d-4cdb-be73-a81f3a3315d1 true Addition Addition 11191 10390 82 44 11222 10412 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 4df43557-2f41-4567-9c05-9fac833005e5 true A A true 39284689-e8f7-4167-8bbc-9ec3a75d5b77 1 11193 10392 14 20 11201.5 10402 Second item for addition b80c1e89-bb68-4318-a097-9f81474664d0 true B B true 01016d06-2882-4690-9359-fd036cf1bc89 1 11193 10412 14 20 11201.5 10422 Result of addition ca6d6fa0-53ce-4ab1-a8e5-f46f9d03f3aa true Result Result false 0 11237 10392 34 40 11255.5 10412 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 7f8c120c-673e-4ea2-b61b-045af5897f90 true Division Division 11191 10240 82 44 11222 10262 Item to divide (dividend) c91a6bc9-f9f5-4ece-bb4d-a82000ac5ecb true A A false 2707a334-7398-47dd-a6d7-7e43f545bdd2 1 11193 10242 14 20 11201.5 10252 Item to divide with (divisor) 6def653c-dbbc-42b1-a730-7b5e0abb9b09 true B B false 0 11193 10262 14 20 11201.5 10272 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 3351a659-8c71-4d12-8242-8eda33f88716 true Result Result false 0 11237 10242 34 40 11255.5 10262 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e8a0fc04-4f1d-4ca3-9c5c-3c550e3067c1 true Expression Expression 11135 10192 194 28 11235 10206 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d6ec4727-0887-43cb-a6b3-11c5668a88a7 true Variable O O true 3351a659-8c71-4d12-8242-8eda33f88716 1 11137 10194 14 24 11145.5 10206 Result of expression 05440660-bccc-4d90-b72d-63743fff90b3 true Result false 0 11318 10194 9 24 11324 10206 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 27be3162-4c6a-4a59-a453-7ca65d602b63 true Panel false 0 05440660-bccc-4d90-b72d-63743fff90b3 1 Double click to edit panel content… 11157 10168 160 20 0 0 0 11157.1 10168.9 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2707a334-7398-47dd-a6d7-7e43f545bdd2 true Panel false 0 983c8c79-db3b-4bce-aa0c-7bfa4719504d 1 Double click to edit panel content… 11157 10320 160 20 0 0 0 11157.1 10320.81 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 9a38140c-37fa-42cf-af9f-b387bb97fcbf true Expression Expression 11135 10343 194 28 11235 10357 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 1bc04c67-160a-4f54-83bb-00ef75db4ae8 true Variable O O true ca6d6fa0-53ce-4ab1-a8e5-f46f9d03f3aa 1 11137 10345 14 24 11145.5 10357 Result of expression 983c8c79-db3b-4bce-aa0c-7bfa4719504d true Result false 0 11318 10345 9 24 11324 10357 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 8a747494-7e8b-40ea-bb93-fcb27e7ad93e true Scale Scale 11155 10069 154 64 11239 10101 Base geometry c670eb69-ecd3-45fc-98c6-8d9581221c4c true Geometry Geometry true 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 1 11157 10071 67 20 11200 10081 Center of scaling 0aa22b2b-f64f-4cad-a4ca-4cbb9755b5b9 true Center Center false 0 11157 10091 67 20 11200 10101 1 1 {0} 0 0 0 Scaling factor 08b506dc-e2bb-4000-af9d-a205a7e704dc 1/X true Factor Factor false 27be3162-4c6a-4a59-a453-7ca65d602b63 1 11157 10111 67 20 11200 10121 1 1 {0} 0.5 Scaled geometry bde6c6ca-f117-4aa0-86ee-01922fc09cab true Geometry Geometry false 0 11254 10071 53 30 11282 10086 Transformation data 4e1bd863-6204-495a-b4df-7c47c5e55b8d true Transform Transform false 0 11254 10101 53 30 11282 10116 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 2dc50ba9-98d4-4298-9c9a-104e3f8814ef true Curve Curve false bde6c6ca-f117-4aa0-86ee-01922fc09cab 1 11211 9474 50 24 11236.08 9486.403 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 00279feb-16c9-400b-98c3-c230f7c5baf1 true Expression Expression 11135 10850 194 28 11235 10864 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable ce13476f-3ca3-4106-8fda-b9b5ee254933 true Variable O O true 67160d2e-0586-4e44-a700-e8f407fb5b17 1 11137 10852 14 24 11145.5 10864 Result of expression 64c0dee1-edab-4cb8-b6f0-8530d517f81e true Result false 0 11318 10852 9 24 11324 10864 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b1d42c60-3f0c-4e7a-a12d-46dda6710889 true Panel false 0 64c0dee1-edab-4cb8-b6f0-8530d517f81e 1 Double click to edit panel content… 11157 10826 160 20 0 0 0 11157.97 10826.75 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 6bd6aad8-5fb1-494e-b1b2-7a5af0b6be06 true Evaluate Length Evaluate Length 11160 9859 144 64 11234 9891 Curve to evaluate bb01f94d-f08c-4a1a-8f03-ec466ee8b2ff true Curve Curve false bde6c6ca-f117-4aa0-86ee-01922fc09cab 1 11162 9861 57 20 11192 9871 Length factor for curve evaluation 5906be9d-af5e-460f-8a3a-646c9db971b5 true Length Length false 0 11162 9881 57 20 11192 9891 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 94e159f2-b91f-45d7-a8a5-d6b136561de6 true Normalized Normalized false 0 11162 9901 57 20 11192 9911 1 1 {0} true Point at the specified length 4f64a082-0009-4f24-bd34-b5c9d81c162f true Point Point false 0 11249 9861 53 20 11277 9871 Tangent vector at the specified length 98facd6e-0709-4eaf-a864-2ad12cc18e0f true Tangent Tangent false 0 11249 9881 53 20 11277 9891 Curve parameter at the specified length 2f812334-cc74-4150-96e5-ce9a4af0b77a true Parameter Parameter false 0 11249 9901 53 20 11277 9911 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d851c0fc-b58d-4fc4-8f66-48db18d0524d true Expression Expression 11135 9642 194 28 11235 9656 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable da8626a7-289a-4216-89b5-9cd4faeafdb2 true Variable O O true f106ca36-4958-4730-9c3a-16d27a9e6ba2 1 11137 9644 14 24 11145.5 9656 Result of expression fde286bf-8706-4604-a243-711945aa0e03 true Result false 0 11318 9644 9 24 11324 9656 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true f9a0ebd0-236d-434b-baa1-c89d9887e509 true Deconstruct Deconstruct 11166 9776 132 64 11213 9808 Input point 14c7c4b5-498b-477b-b796-8a1810c846cd true Point Point false 4f64a082-0009-4f24-bd34-b5c9d81c162f 1 11168 9778 30 60 11184.5 9808 Point {x} component f106ca36-4958-4730-9c3a-16d27a9e6ba2 true X component X component false 0 11228 9778 68 20 11263.5 9788 Point {y} component da117ace-1e49-4c90-912c-13c434ae0abe true Y component Y component false 0 11228 9798 68 20 11263.5 9808 Point {z} component a8f56cd0-3e3d-441c-91f7-9ba4841af9f6 true Z component Z component false 0 11228 9818 68 20 11263.5 9828 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values bffd1539-4139-4b0c-b604-e7f7d7a49e27 true Panel false 0 fde286bf-8706-4604-a243-711945aa0e03 1 Double click to edit panel content… 11157 9614 160 20 0 0 0 11157.35 9614.323 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 78c6c476-3e5a-43d9-942a-e32a1bd8341c true Expression Expression 11135 9556 194 28 11235 9570 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2ceccfe2-a118-4c78-ae08-7587d94200c7 true Variable O O true da117ace-1e49-4c90-912c-13c434ae0abe 1 11137 9558 14 24 11145.5 9570 Result of expression eee693b7-b735-48c0-b65d-155f23d220c2 true Result false 0 11318 9558 9 24 11324 9570 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 63da5a14-14d8-4b3a-bca3-90f33f5a6d2d true Panel false 0 eee693b7-b735-48c0-b65d-155f23d220c2 1 Double click to edit panel content… 11157 9528 160 20 0 0 0 11157.36 9528.694 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0657fa7f-36d6-4ded-87c9-fa3214ed6a40 true Expression Expression 11135 9728 194 28 11235 9742 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 26bcbf9a-efce-4209-a257-fefa3fd2854f true Variable O O true a8f56cd0-3e3d-441c-91f7-9ba4841af9f6 1 11137 9730 14 24 11145.5 9742 Result of expression 02c03f94-be99-4a2e-93ba-14cbb61fd077 true Result false 0 11318 9730 9 24 11324 9742 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b3400eb7-f424-4126-93fb-7a46f60c09de true Panel false 0 02c03f94-be99-4a2e-93ba-14cbb61fd077 1 Double click to edit panel content… 11157 9700 160 20 0 0 0 11157.1 9700.534 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3f37173e-5d6c-40dd-8cc1-b846e92fd738 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 11055 14034 379 104 0 0 0 11055.75 14034.98 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7a47c011-cbf4-4047-8c80-c1178ae035ab true Panel false 0 3fe1f684-3608-4a00-9ad9-228cad6ae6e1 1 Double click to edit panel content… 11069 12064 337 276 0 0 0 11069.29 12064.32 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3ef9ab54-9776-4aed-aee8-f1a09b0b6701 true Expression Expression 11135 12350 194 28 11235 12364 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f21a93cf-46b1-40df-9b70-8b7983777a6d true Variable O O true 6675e784-7e56-4b18-8b5b-3311ab42d31a 1 11137 12352 14 24 11145.5 12364 Result of expression 3fe1f684-3608-4a00-9ad9-228cad6ae6e1 true Result false 0 11318 12352 9 24 11324 12364 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 3b1f7922-4b7e-4166-983c-75cb3eb8a170 true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 11221 14464 50 24 11246.06 14476.62 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true d8844e6a-8ed6-47e6-b71d-3e8759974784 true Curve Graph Mapper Curve Graph Mapper 11063 12632 160 224 11131 12744 1 One or multiple graph curves to graph map values with 594a3d94-9c3f-4828-94f3-c45c92d2fe0e true Curves Curves false 91ecf790-e5af-4621-84ca-f762605af1ce 1 11065 12634 51 27 11092 12647.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 9f285f6d-85f4-4825-9e01-d0e658bd1c59 true Rectangle Rectangle false a8323a2c-df86-4083-9419-bcdaeb198fd3 1 11065 12661 51 28 11092 12675.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 3acbd6c4-0a53-4468-b1b3-9c4e050d18c9 true Values Values false 3922bdee-0233-40b3-8d10-a0a0cd81b6ab 1 11065 12689 51 27 11092 12702.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 85853436-f2e0-4bc8-a888-56730895f082 true X Axis X Axis true 0 11065 12716 51 28 11092 12730.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 30dc4398-e211-48f2-9a14-2baa5dbbbe43 true Y Axis Y Axis true 0 11065 12744 51 27 11092 12757.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 3a04d29f-a474-416d-89c3-7137f1a55f0d true Flip Flip false 0 11065 12771 51 28 11092 12785.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 6560210d-563b-4bec-af0f-8bfbd836c8ff true Snap Snap false 0 11065 12799 51 27 11092 12812.75 1 1 {0} true Size of the graph labels 1c9d39d6-114a-4ba7-a756-90dcaf846baf true Text Size Text Size false 0 11065 12826 51 28 11092 12840.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 6a6c4b64-fb64-4f13-ace9-26e9ca1761c7 true Mapped Mapped false 0 11146 12634 75 20 11185 12644 1 The graph curves inside the boundary of the graph a77e1434-5d83-43ab-945d-0088d9c945b7 true Graph Curves Graph Curves false 0 11146 12654 75 20 11185 12664 1 The points on the graph curves where the X Axis input values intersected true 7646b16f-118b-4451-b12d-537d0100347d true Graph Points Graph Points false 0 11146 12674 75 20 11185 12684 1 The lines from the X Axis input values to the graph curves true f12c9b76-e686-490e-8e11-9537a6b01183 true Value Lines Value Lines false 0 11146 12694 75 20 11185 12704 1 The points plotted on the X Axis which represent the input values true 6f82499e-7996-40da-9994-5a725cb8acc7 true Value Points Value Points false 0 11146 12714 75 20 11185 12724 1 The lines from the graph curves to the Y Axis graph mapped values true 2e5e80c5-c3cf-4efe-950d-267f90dc6551 true Mapped Lines Mapped Lines false 0 11146 12734 75 20 11185 12744 1 The points mapped on the Y Axis which represent the graph mapped values true 605a2c4b-c803-4cbd-8406-cd66665b2d7b true Mapped Points Mapped Points false 0 11146 12754 75 20 11185 12764 The graph boundary background as a surface 85be56bb-8057-4d1e-94e3-1528d297d7ae true Boundary Boundary false 0 11146 12774 75 20 11185 12784 1 The graph labels as curve outlines a28729d7-bdcb-42ca-bd78-e84d803c8d9c true Labels Labels false 0 11146 12794 75 20 11185 12804 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds 83cb36aa-18bf-4f88-9c0b-3451d82e6340 true Out Of Bounds Out Of Bounds false 0 11146 12814 75 20 11185 12824 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 7dadbf14-b025-4e90-9928-ee6e52c27a33 true Intersected Intersected false 0 11146 12834 75 20 11185 12844 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 2466d393-59b0-44a7-9bd6-a60e3db2a1c6 true End Points End Points 11184 13057 96 44 11234 13079 Curve to evaluate 62a6df5f-6c94-407e-9d19-74ca749acfaa true Curve Curve false 91ecf790-e5af-4621-84ca-f762605af1ce 1 11186 13059 33 40 11204 13079 Curve start point 86829735-b9f7-441a-b677-7ce0f5e64083 true Start Start false 0 11249 13059 29 20 11265 13069 Curve end point 14acbc38-5dfa-4199-90f8-48d6adad767f true End End false 0 11249 13079 29 20 11265 13089 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true dcf57667-d488-4173-a38b-e201d6714472 true Rectangle 2Pt Rectangle 2Pt 11169 12955 126 84 11227 12997 Rectangle base plane 641c5136-db4e-4577-bf79-2d440c526737 true Plane Plane false 0 11171 12957 41 20 11193 12967 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 1686037d-2630-43b5-9b9a-bad0c5d53286 true Point A Point A false 86829735-b9f7-441a-b677-7ce0f5e64083 1 11171 12977 41 20 11193 12987 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 984b8f08-218e-477d-bca6-819fc6263df1 true Point B Point B false 14acbc38-5dfa-4199-90f8-48d6adad767f 1 11171 12997 41 20 11193 13007 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 30977456-c0d3-48cd-af14-5c1d26eef1fe true Radius Radius false 0 11171 13017 41 20 11193 13027 1 1 {0} 0 Rectangle defined by P, A and B a8323a2c-df86-4083-9419-bcdaeb198fd3 true Rectangle Rectangle false 0 11242 12957 51 40 11269 12977 Length of rectangle curve f48795e3-88e8-4352-9d49-2facf13e1cfe true Length Length false 0 11242 12997 51 40 11269 13017 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true a9982cc5-6f10-4b54-adef-fa826b701d03 true GraphMapper+ GraphMapper+ false 11223 12752 126 104 11290 12804 External curve as a graph 50e85bbf-676e-48a4-9a9a-d53cc380e00a true Curve Curve false 91ecf790-e5af-4621-84ca-f762605af1ce 1 11225 12754 50 20 11251.5 12764 Optional Rectangle boundary. If omitted the curve's would be landed 5737f0e2-5420-43e9-b6c7-3fe5026ecb53 true Boundary Boundary true a8323a2c-df86-4083-9419-bcdaeb198fd3 1 11225 12774 50 20 11251.5 12784 1 List of input numbers 5bb2da3b-945b-43d0-af45-3683558c7efd true Numbers Numbers false 3922bdee-0233-40b3-8d10-a0a0cd81b6ab 1 11225 12794 50 20 11251.5 12804 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode b3621b92-ab0c-4520-8389-953f3e1ec57e true Input Input true b2d86554-6d5a-40df-857d-3f276a1490bf 1 11225 12814 50 20 11251.5 12824 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode eb442e49-83e9-433c-9d67-e64a42d7c042 true Output Output true b2d86554-6d5a-40df-857d-3f276a1490bf 1 11225 12834 50 20 11251.5 12844 1 Output Numbers e73e1c89-3f0e-43b8-86ce-363f41a082a8 true Number Number false 0 11305 12754 42 100 11327.5 12804 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 58091a26-9398-4dc8-a07a-187aacb3aeba true Stream Filter Stream Filter 11198 12549 89 64 11243 12581 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 369fde68-9e9c-494e-97ad-4bf8558e4988 true Gate Gate false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 11200 12551 28 20 11215.5 12561 1 1 {0} 0 2 Input stream at index 0 148162ca-d89d-481a-a160-e7b6395f1ad8 true false Stream 0 0 true 6a6c4b64-fb64-4f13-ace9-26e9ca1761c7 1 11200 12571 28 20 11215.5 12581 2 Input stream at index 1 0b44b77d-d4c7-4a8e-91de-79f26e856dee true false Stream 1 1 true e73e1c89-3f0e-43b8-86ce-363f41a082a8 1 11200 12591 28 20 11215.5 12601 2 Filtered stream 2051c393-183d-424b-8496-cd6a361d114b true false Stream S(1) false 0 11258 12551 27 60 11273 12581 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 1dbe9a75-22aa-4f51-84fc-b8e986d66b5e true Number Slider false 0 11167 12475 150 20 11167.72 12475.92 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7516f2d4-2a9b-4fdd-a932-aa5a77b81a08 true Panel false 1 2f490743-335b-4afb-999b-648b0c0321dc 1 Double click to edit panel content… 11147 13251 185 271 0 0 0 11147.79 13251.18 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 3b6e3bdb-033f-4638-95fc-9a56faba2fdb true Bounds Bounds 11173 13196 122 28 11237 13210 1 Numbers to include in Bounds 243dc841-6ca9-4c58-8b3b-9c8767758f1d true Numbers Numbers false 3922bdee-0233-40b3-8d10-a0a0cd81b6ab 1 11175 13198 47 24 11200 13210 Numeric Domain between the lowest and highest numbers in {N} b2d86554-6d5a-40df-857d-3f276a1490bf true Domain Domain false 0 11252 13198 41 24 11274 13210 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 618ef6f7-de00-4431-89c5-1f39302e094c true Expression Expression 11135 13610 194 28 11235 13624 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable fef473bd-3a59-452a-9eea-7e15005a33e8 true Variable O O true 3922bdee-0233-40b3-8d10-a0a0cd81b6ab 1 11137 13612 14 24 11145.5 13624 Result of expression 2f490743-335b-4afb-999b-648b0c0321dc true Result false 0 11318 13612 9 24 11324 13624 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true c110440b-e321-42a9-9db8-78497fbde38f true Expression Expression 11049 13824 367 28 11235 13838 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable b2ee4e28-1066-473d-b0cc-a44fe277fe0b true Variable O O true 6ab8d1eb-c048-4e31-be0c-e13b590101c4 1 11051 13826 14 24 11059.5 13838 Result of expression 6020af58-303f-436b-9517-098b1b794d32 true Result false 0 11405 13826 9 24 11411 13838 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 756d2d51-d7f6-4402-9d75-aad4ee697736 true Panel false 0 6020af58-303f-436b-9517-098b1b794d32 1 Double click to edit panel content… 11147 13788 179 20 0 0 0 11147.93 13788.04 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 2dc50ba9-98d4-4298-9c9a-104e3f8814ef 1 5cc374f6-23ee-40c4-a583-270d25678efb Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true e44c5a2a-fb8d-4dcb-9a13-a9154875d3d5 true Scale Scale 11155 9984 154 64 11239 10016 Base geometry 40b6450c-315b-4af4-9848-f7d69edf18ec true Geometry Geometry true c86ec8a3-9ea7-4981-9a9d-edda0165242c 1 11157 9986 67 20 11200 9996 Center of scaling a6f4935b-75b0-449e-b343-ebf42df66b70 true Center Center false 0 11157 10006 67 20 11200 10016 1 1 {0} 0 0 0 Scaling factor 4c896568-056a-413f-a0ca-7dd922440b37 1/X true Factor Factor false 27be3162-4c6a-4a59-a453-7ca65d602b63 1 11157 10026 67 20 11200 10036 1 1 {0} 0.5 Scaled geometry d2804b4c-8099-4f0a-bfcb-694baa75298b true Geometry Geometry false 0 11254 9986 53 30 11282 10001 Transformation data b06e23ab-8251-4f31-9933-dda5fbcf733c true Transform Transform false 0 11254 10016 53 30 11282 10031 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 8226fdbd-9d16-4960-baba-a79b21bec7dc true Point Point false d2804b4c-8099-4f0a-bfcb-694baa75298b 1 11212 9952 50 24 11237.08 9964.573 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 34b91d1e-2f87-484a-b784-0cc6d1cd5f34 true Mirror Mirror 11177 9344 138 44 11245 9366 Base geometry 6361b086-f0a2-44e3-ae0d-669ebfe0344c true Geometry Geometry true 2dc50ba9-98d4-4298-9c9a-104e3f8814ef 1 11179 9346 51 20 11206 9356 Mirror plane 0abf6ae3-65a8-469f-b08e-71ee93c1b223 true Plane Plane false 0 11179 9366 51 20 11206 9376 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 1720ec46-d40f-49d2-b2d0-e9948b8880a3 true Geometry Geometry false 0 11260 9346 53 20 11288 9356 Transformation data 2fa45dd1-070c-45af-94bb-e3085f4f0cfa true Transform Transform false 0 11260 9366 53 20 11288 9376 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 1cc4ce65-802a-413c-851c-f786e9032630 true Curve Curve false d62d3b97-2fc7-4a53-a83a-8db1af4b9e8d 1 11219 9244 50 24 11244.33 9256.583 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 91ecf790-e5af-4621-84ca-f762605af1ce true Relay false 425e96e2-ca93-43ee-a9a8-cc741d2dde79 1 11214 13124 40 16 11234 13132 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 4f6f562e-844a-4785-9b00-f3cc00756cdd true Curve Curve false 5b6b9538-a868-4c4e-b7d8-a06492da7f4e 1 10781 13520 50 24 10806.83 13532.04 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 425e96e2-ca93-43ee-a9a8-cc741d2dde79 true Curve Curve false 633601d5-81c8-4baf-a58a-77af1e1adaa1 1 10780 13230 50 24 10805.92 13242.19 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 282cf104-8889-4a14-87b7-ede9957d162a true Scale Scale 10724 13263 154 64 10808 13295 Base geometry 4e675e34-e7be-4e03-b50d-c3c476248f6b true Geometry Geometry true 4f6f562e-844a-4785-9b00-f3cc00756cdd 1 10726 13265 67 20 10769 13275 Center of scaling 98d0e8e5-684a-4ad8-aaa2-73753b9cc0f9 true Center Center false 0 10726 13285 67 20 10769 13295 1 1 {0} 0 0 0 Scaling factor 06dcca81-9e58-4598-985e-40e19f83f4be 2^X true Factor Factor false b8c8100f-cc98-44a5-ae31-2a5e6a66bb38 1 10726 13305 67 20 10769 13315 1 1 {0} 1 Scaled geometry 633601d5-81c8-4baf-a58a-77af1e1adaa1 true Geometry Geometry false 0 10823 13265 53 30 10851 13280 Transformation data 02e13c36-fe6f-446c-b187-8768b7406d68 true Transform Transform false 0 10823 13295 53 30 10851 13310 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 4f6f562e-844a-4785-9b00-f3cc00756cdd 425e96e2-ca93-43ee-a9a8-cc741d2dde79 282cf104-8889-4a14-87b7-ede9957d162a 27899f96-8899-44d3-a06c-50d23c4c5623 58050946-3b21-407b-95ec-906607ba8bb3 f943ece7-8ce1-493e-97db-5983ea7ca29d 3dcb2716-431d-4ad1-9502-00ff2db80844 59f1d794-a56f-4acf-8b88-3085592a69d6 b8c8100f-cc98-44a5-ae31-2a5e6a66bb38 f5c15749-9790-4708-adc4-cdf138ed172a ddd3b180-869b-42de-8270-aaf94b69d469 11 3375a47c-b3cf-4534-99d0-3f03f44bc06d Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true bb3d5a6c-0b9d-4f22-8e71-bc35406b7647 true Move Move 11177 9280 138 44 11245 9302 Base geometry f599dd4a-c11a-402a-a621-5929cd9c8cfc true Geometry Geometry true 2dc50ba9-98d4-4298-9c9a-104e3f8814ef 1 11179 9282 51 20 11206 9292 Translation vector 61fd2d7f-8e08-4d04-bc84-bbaf3b1fccb9 true Motion Motion false 0 11179 9302 51 20 11206 9312 1 1 {0} 12.5 0 0 Translated geometry d62d3b97-2fc7-4a53-a83a-8db1af4b9e8d true Geometry Geometry false 0 11260 9282 53 20 11288 9292 Transformation data 5125cc7f-7c94-475a-a96e-d8b3229bc094 true Transform Transform false 0 11260 9302 53 20 11288 9312 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 58050946-3b21-407b-95ec-906607ba8bb3 true Digit Scroller false 0 12 2 0.0000000000 10678 13476 250 20 10678.65 13476.42 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f943ece7-8ce1-493e-97db-5983ea7ca29d true Panel false 0 0 16.93121320041889709 10738 13354 144 20 0 0 0 10738.39 13354.9 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 3dcb2716-431d-4ad1-9502-00ff2db80844 true Curve Curve false 0 10780 13187 50 24 10805.92 13199.19 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 59f1d794-a56f-4acf-8b88-3085592a69d6 true Curve Curve false 0 10784 13657 50 24 10809.42 13669.14 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 20d897f9-fb0e-4248-9473-759dae7f3985 true Panel false 0 0 0.00137956207 11018 13998 439 20 0 0 0 11018.31 13998.51 255;255;255;255 false false true false false true 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 4dd39426-4757-4d5a-9089-0bf8a32981e1 true End Points End Points 11602 9975 96 44 11652 9997 Curve to evaluate 33da532d-d945-4028-94bd-f87d9fb2fcbb true Curve Curve false 0a11e65e-d83c-4f16-a8d6-0e449e303149 1 11604 9977 33 40 11622 9997 Curve start point a22bc393-c2be-48ba-a6ee-44cdb68d4f0c true Start Start false 0 11667 9977 29 20 11683 9987 Curve end point 3979feb6-f9a4-4284-ac14-1d0be9680eda true End End false 0 11667 9997 29 20 11683 10007 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 0c51e735-7128-43bd-a415-e5cf097cbe5f true Rectangle 2Pt Rectangle 2Pt 11587 9872 126 84 11645 9914 Rectangle base plane 6a03ab59-c267-471c-894c-9bfac48b75fd true Plane Plane false 0 11589 9874 41 20 11611 9884 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. a9dbd128-4ed8-4b42-9e57-f97f15e054a1 true Point A Point A false a22bc393-c2be-48ba-a6ee-44cdb68d4f0c 1 11589 9894 41 20 11611 9904 1 1 {0} 0 0 0 Second corner point. 70e24acb-f96b-4837-b783-5f24edf22606 true Point B Point B false 3979feb6-f9a4-4284-ac14-1d0be9680eda 1 11589 9914 41 20 11611 9924 1 1 {0} 10 5 0 Rectangle corner fillet radius bd9c22ee-43d8-46e3-82b6-2faa29915760 true Radius Radius false 0 11589 9934 41 20 11611 9944 1 1 {0} 0 Rectangle defined by P, A and B 6f273c1d-6e69-46b2-a6ab-de1c7535e6d1 true Rectangle Rectangle false 0 11660 9874 51 40 11687 9894 Length of rectangle curve 3542c96f-3953-42de-b25a-2516636db1e2 true Length Length false 0 11660 9914 51 40 11687 9934 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true a066dc91-c5e2-4469-9d2e-78cc2ca94a15 true Deconstuct Rectangle Deconstuct Rectangle 11579 9789 142 64 11647 9821 Rectangle to deconstruct 50db75e4-2e34-4b7a-8f90-e4f787d42c7c true Rectangle Rectangle false 6f273c1d-6e69-46b2-a6ab-de1c7535e6d1 1 11581 9791 51 60 11608 9821 Base plane of rectangle ab8df742-32a5-4270-a8dc-56b720357a38 true Base Plane Base Plane false 0 11662 9791 57 20 11692 9801 Size interval along base plane X axis 1972b165-875a-49f9-a943-315f9b675010 true X Interval X Interval false 0 11662 9811 57 20 11692 9821 Size interval along base plane Y axis 04548058-0b6c-42ec-b1a5-bb76ebd79c4c true Y Interval Y Interval false 0 11662 9831 57 20 11692 9841 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true d9bf0b46-bd1c-4601-802b-4bbb035268c6 true Deconstruct Domain Deconstruct Domain 11598 9662 104 44 11656 9684 Base domain 930cfef6-afa7-4e23-82de-1554262c673e true Domain Domain false 04548058-0b6c-42ec-b1a5-bb76ebd79c4c 1 11600 9664 41 40 11622 9684 Start of domain 64bf01a2-6676-4b68-a901-fa8507e049ff true Start Start false 0 11671 9664 29 20 11687 9674 End of domain bfb0a1f8-5ba6-4a76-abac-b03ed99f2d4d true End End false 0 11671 9684 29 20 11687 9694 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true 3cf69b06-b52f-4502-82f2-4e60b42f8cc3 true Deconstruct Domain Deconstruct Domain 11598 9724 104 44 11656 9746 Base domain 08045bf9-a622-4109-a2bb-a80fa8f97446 true Domain Domain false 1972b165-875a-49f9-a943-315f9b675010 1 11600 9726 41 40 11622 9746 Start of domain dcc4500e-e314-4e30-a3ab-f9237223f920 true Start Start false 0 11671 9726 29 20 11687 9736 End of domain d9fe0984-3aeb-476c-8612-cde1dca8df55 true End End false 0 11671 9746 29 20 11687 9756 290f418a-65ee-406a-a9d0-35699815b512 Scale NU Scale an object with non-uniform factors. true 9f169e54-507b-4163-abda-cef3e216b751 true Scale NU Scale NU 11573 9539 154 104 11657 9591 Base geometry 61be92e4-3ba1-405d-85c9-c1daaec69c9c true Geometry Geometry true 2dc50ba9-98d4-4298-9c9a-104e3f8814ef 1 11575 9541 67 20 11618 9551 Base plane ddf4be38-20d6-4410-aa34-25cfa964666d true Plane Plane false 0 11575 9561 67 20 11618 9571 1 1 {0} 0 0 0 1 0 0 0 1 0 Scaling factor in {x} direction 1ae5b21a-0eea-4313-8a9a-77e65611333d 1/X true Scale X Scale X false d9fe0984-3aeb-476c-8612-cde1dca8df55 1 11575 9581 67 20 11618 9591 1 1 {0} 1 Scaling factor in {y} direction 4dec546a-b7ae-470b-b03e-193ff9c206a9 1/X true Scale Y Scale Y false bfb0a1f8-5ba6-4a76-abac-b03ed99f2d4d 1 11575 9601 67 20 11618 9611 1 1 {0} 1 Scaling factor in {z} direction 8be6b9b5-7e81-4b88-a285-6f43dee6a0eb true Scale Z Scale Z false 0 11575 9621 67 20 11618 9631 1 1 {0} 1 Scaled geometry e73b8fb7-c602-4f45-8a35-c592c27aba49 true Geometry Geometry false 0 11672 9541 53 50 11700 9566 Transformation data 50bdd865-f8fa-4f1b-958f-b28cfbc014cb true Transform Transform false 0 11672 9591 53 50 11700 9616 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 4dd39426-4757-4d5a-9089-0bf8a32981e1 0c51e735-7128-43bd-a415-e5cf097cbe5f a066dc91-c5e2-4469-9d2e-78cc2ca94a15 d9bf0b46-bd1c-4601-802b-4bbb035268c6 3cf69b06-b52f-4502-82f2-4e60b42f8cc3 9f169e54-507b-4163-abda-cef3e216b751 0a11e65e-d83c-4f16-a8d6-0e449e303149 e27f66f6-779d-49ac-8cac-820afea61e6d 95592e16-f781-4432-bf8c-7febd23536f6 4072dd5f-488b-48b1-bb99-6a919c99b6ec 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d d945ae52-67d3-4239-a1da-df27a7e00bb0 12 d619f561-af55-42ce-8fa5-da99e4f5d54b Group d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 0a11e65e-d83c-4f16-a8d6-0e449e303149 true Curve Curve false 2dc50ba9-98d4-4298-9c9a-104e3f8814ef 1 11629 10049 50 24 11654.97 10061.79 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true e27f66f6-779d-49ac-8cac-820afea61e6d true Curve Curve false e73b8fb7-c602-4f45-8a35-c592c27aba49 1 11626 9498 50 24 11651.75 9510.039 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 95592e16-f781-4432-bf8c-7febd23536f6 true Move Move 11579 9286 138 44 11647 9308 Base geometry cc8c4ccf-ae5b-404c-9e52-36d47e81ce2e true Geometry Geometry true e27f66f6-779d-49ac-8cac-820afea61e6d 1 11581 9288 51 20 11608 9298 Translation vector 706df9ce-e779-4517-a878-52f1ded82837 true Motion Motion false 9ca69f5a-0f79-40d9-82b9-6cbb711d1b3a 1 11581 9308 51 20 11608 9318 1 1 {0} 5 1.5 0 Translated geometry 2e9dd332-07b1-447a-9b85-e8b04e115eed true Geometry Geometry false 0 11662 9288 53 20 11690 9298 Transformation data 6f3066a4-9efe-4ee0-9cea-09de2adc3ffe true Transform Transform false 0 11662 9308 53 20 11690 9318 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 4072dd5f-488b-48b1-bb99-6a919c99b6ec true Curve Curve false 2e9dd332-07b1-447a-9b85-e8b04e115eed 1 11627 9244 50 24 11652.08 9256.252 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 5d01f4d6-99bc-4ec4-9a50-725917d669e3 true Panel false 0 0 0.00032220000 0.00000220000 11018 14159 439 22 0 0 0 11018.61 14159.47 255;255;255;255 false false true false false true 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers b8e7a4d5-ee36-48ac-9821-b87d1a94d60e true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00007777700 11111 14309 251 20 11111.22 14309.87 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ccc605f7-a0f4-490d-99f2-72959d062d3e true Panel false 0 0 0.00137956207*4*4*4*4 11018 14218 439 20 0 0 0 11018.06 14218.51 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression 1/X true b297a4bc-6ceb-462f-a794-9fe2bd6e73c9 true Expression 11200 14406 79 28 11242 14420 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 76e93742-5f4c-4be2-946a-398788bcf838 true Variable X X true 3b1f7922-4b7e-4166-983c-75cb3eb8a170 1 11202 14408 14 24 11210.5 14420 Result of expression d2af385a-c99b-412b-875e-b7f232cf85d5 true Result false 0 11268 14408 9 24 11274 14420 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true ddda4732-6250-4450-a11a-010b13680da0 true Point Point false a3f6ca53-8639-4a50-8e51-9d73d0818a56 1 11234 11934 50 24 11259.03 11946.6 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a3f6ca53-8639-4a50-8e51-9d73d0818a56 true Relay false 6675e784-7e56-4b18-8b5b-3311ab42d31a 1 11236 11980 40 16 11256 11988 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c86ec8a3-9ea7-4981-9a9d-edda0165242c true Relay false 4e4befa7-ccb1-48ef-9e67-abc3834e0b17 1 11236 11757 40 16 11256 11765 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 5009adea-3889-4444-a662-550d073a1b5e 1 97d5ad31-67a5-4eec-b0d5-2775b37f1541 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 8901b2a5-394d-440a-854c-9cfa8fe88dd9 1 231950ad-fd20-44da-9934-dbdc3bb0bbe5 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5e828d95-2fec-4583-aa06-a540b9e69323 915c57bd-c5d4-409f-8a53-59251156111f c224342c-801f-4459-9224-44879ddf539f cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 684f5a7a-2f03-46d6-a594-682e524e0f68 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 6860470d-e422-488a-9a4e-717f9040fa82 bade2dc2-5919-4723-bde3-ebdd9bc0713a 40e37398-63c4-4a61-8694-7bd0ef83882c ca997e41-79d8-4e43-be24-c7b4c29481db 231950ad-fd20-44da-9934-dbdc3bb0bbe5 97d5ad31-67a5-4eec-b0d5-2775b37f1541 8b503ea6-0c14-46fc-ae0b-7ae4ce6243b8 4c64635c-1880-4b55-b09b-268462bf0344 9b61b62d-1781-425b-8b1f-b7e73ef765da 1ea137c4-3571-4d3f-8ceb-c0cae1c5bf1e 768840f7-01a4-42a5-840c-7347ebd0d7e0 51067a14-7237-490f-9fc3-040d29b665b0 f5daa0a5-064f-48e0-9aea-0037c20fcd07 91586ac2-1724-49d2-9bce-dcebd4685515 20 c35ebd20-cda5-4150-8dbb-66ad350904e1 Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 5e828d95-2fec-4583-aa06-a540b9e69323 true Duplicate Data Duplicate Data 12984 14348 104 64 13043 14380 1 Data to duplicate e92f70ca-c0e6-4bba-9438-db807ff62bb9 true Data Data false 1ed23266-44be-4f2c-ab56-029d13fee712 1 12986 14350 42 20 13008.5 14360 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates a7eb5d05-d07c-4f59-bb6a-50db03df49dc true Number Number false e1807893-da4a-4101-ac40-63126ea670f6 1 12986 14370 42 20 13008.5 14380 1 1 {0} 500 Retain list order 5345db8a-3710-43f4-babd-61953aec8b20 true Order Order false 0 12986 14390 42 20 13008.5 14400 1 1 {0} true 1 Duplicated data 2ccc3f2c-8a84-41d1-a8e6-75b96b71ed13 true Data Data false 0 13058 14350 28 60 13073.5 14380 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 915c57bd-c5d4-409f-8a53-59251156111f true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 12970 12420 116 44 13031 12442 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward c523fe05-35af-4ca8-a83c-190f6a2bef35 true Forward Forward true 1 true 2ccc3f2c-8a84-41d1-a8e6-75b96b71ed13 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 12972 12422 44 20 12995.5 12432 1 false Script Variable Left 0b7478e7-8000-4420-b738-a37d501ad798 true Left Left true 1 true 6189ad75-b660-4906-90f1-9c39628bb5af 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 12972 12442 44 20 12995.5 12452 Print, Reflect and Error streams 8e6c6b2c-0cb9-46fb-be7f-244ce0ecd1bf true Output Output false 0 13046 12422 38 20 13066.5 12432 Output parameter Points 289c80b2-fb40-41f0-a44a-49aa726014ee true Points Points false 0 13046 12442 38 20 13066.5 12452 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 true Series Series 12981 13677 101 64 13031 13709 First number in the series 7d78119b-b332-410c-8097-92f63bc27f38 true Start Start false 0 12983 13679 33 20 13001 13689 1 1 {0} 0 Step size for each successive number cff07a07-5763-4059-957b-4419cf12f07e true Step Step false a90efd40-4b05-4533-9ad7-0796e67982a3 1 12983 13699 33 20 13001 13709 1 1 {0} 1 Number of values in the series 32a81621-6d75-432a-a48e-0fa68bf9c5f2 true Count Count false e1807893-da4a-4101-ac40-63126ea670f6 1 12983 13719 33 20 13001 13729 1 Series of numbers 98be2f6b-4af9-4e29-9c36-c475f903d3e3 true Series Series false 0 13046 13679 34 60 13064.5 13709 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 684f5a7a-2f03-46d6-a594-682e524e0f68 true Number Slider false 0 12967 14528 150 20 12967.08 14528.52 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 true Radians Radians 12970 13894 120 28 13031 13908 Angle in degrees 78c3dfef-8f84-4da0-bb31-5fa61cec6042 true Degrees Degrees false 51fb46f4-8bcd-456d-a842-67167d645345 1 12972 13896 44 24 12995.5 13908 Angle in radians 44c8431b-375d-4ef1-a714-25316eb80b9d true Radians Radians false 0 13046 13896 42 24 13068.5 13908 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 6860470d-e422-488a-9a4e-717f9040fa82 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 12907 14203 251 20 12907.79 14203.79 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true ca997e41-79d8-4e43-be24-c7b4c29481db true Interpolate (t) Interpolate (t) 12956 11655 144 84 13042 11697 1 Interpolation points 23e6a9a7-30af-407c-a61f-38ebfff57a34 true Vertices Vertices false eb58ff90-1679-4c1c-9aae-21704022ebf7 1 12958 11657 69 20 12994 11667 Tangent at start of curve 503bdd70-d1a2-42cf-8f1e-a9d96d708e2c true Tangent Start Tangent Start false 0 12958 11677 69 20 12994 11687 1 1 {0} 0.0625 0 0 Tangent at end of curve 5ffb5739-82a3-4864-a7f6-f07e9036f88f true Tangent End Tangent End false 0 12958 11697 69 20 12994 11707 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) ae4ca890-1a64-4982-9414-681b719b70ce true KnotStyle KnotStyle false 0 12958 11717 69 20 12994 11727 1 1 {0} 2 Resulting nurbs curve 3a3ee721-95ca-4efb-a962-55fa8532ee66 true Curve Curve false 0 13057 11657 41 26 13079 11670.33 Curve length 7c227b4a-73d5-435c-92e1-ad072b8582a9 true Length Length false 0 13057 11683 41 27 13079 11697 Curve domain 158ea267-9386-4068-9931-002185bc0bbd true Domain Domain false 0 13057 11710 41 27 13079 11723.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5e828d95-2fec-4583-aa06-a540b9e69323 915c57bd-c5d4-409f-8a53-59251156111f c224342c-801f-4459-9224-44879ddf539f cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 684f5a7a-2f03-46d6-a594-682e524e0f68 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 6860470d-e422-488a-9a4e-717f9040fa82 bade2dc2-5919-4723-bde3-ebdd9bc0713a b3593429-13b3-486e-92c0-19c2f2f74760 b42663bb-8528-4524-acb7-8ce856e76743 8a6b5972-ad07-4ee8-9661-d79409b7ca0c 144184ab-677d-47bc-a4a6-010cda1cf2cf 5aeed1da-374b-4672-97ff-7c101c45c07b 3cfc6172-94c3-4f48-80d3-443b91211fe6 14 40e37398-63c4-4a61-8694-7bd0ef83882c Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 3efab561-d7ca-4b3f-8baa-e5c5274c459a true Evaluate Length Evaluate Length 12956 11487 144 64 13030 11519 Curve to evaluate d2477878-81ef-4d37-baaa-7d5cf23b6da1 true Curve Curve false 3a3ee721-95ca-4efb-a962-55fa8532ee66 1 12958 11489 57 20 12988 11499 Length factor for curve evaluation 7ed5afea-433c-40eb-bcc6-b5d581843d06 true Length Length false 0 12958 11509 57 20 12988 11519 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 7201e51f-b26e-423f-9fba-73ec4ae70e6c true Normalized Normalized false 0 12958 11529 57 20 12988 11539 1 1 {0} true Point at the specified length 758debfa-fe92-41da-a901-79a73078298b true Point Point false 0 13045 11489 53 20 13073 11499 Tangent vector at the specified length 1852cc4b-9d66-40bc-95bc-86a6cefddca9 true Tangent Tangent false 0 13045 11509 53 20 13073 11519 Curve parameter at the specified length b6879775-27c3-4466-bd13-323abcc3ebbd true Parameter Parameter false 0 13045 11529 53 20 13073 11539 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 162dd3b1-5741-4663-a444-3fa31148c1ee true Mirror Mirror 12959 11425 138 44 13027 11447 Base geometry e44a26a7-33d5-44f1-91e8-0dc8c5bf82de true Geometry Geometry true 3a3ee721-95ca-4efb-a962-55fa8532ee66 1 12961 11427 51 20 12988 11437 Mirror plane 894ed388-d662-4d2d-903c-a5663d446167 true Plane Plane false 8c9840aa-59e7-4981-bd26-0f71ea929815 1 12961 11447 51 20 12988 11457 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 10573088-5312-4ed2-9e0a-1ddee1cfcb60 true Geometry Geometry false 0 13042 11427 53 20 13070 11437 Transformation data f8d8c15e-e22c-4f61-a460-61a9c4b3a191 true Transform Transform false 0 13042 11447 53 20 13070 11457 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 3aca04d1-98fe-4378-828f-c99301545001 true Line SDL Line SDL 12975 11571 106 64 13039 11603 Line start point cca9d8b5-256a-4d58-84ed-8404b3d5f2a9 true Start Start false 758debfa-fe92-41da-a901-79a73078298b 1 12977 11573 47 20 13002 11583 Line tangent (direction) 7d47557b-7875-4150-938e-e26318b0555e true Direction Direction false 1852cc4b-9d66-40bc-95bc-86a6cefddca9 1 12977 11593 47 20 13002 11603 1 1 {0} 0 0 1 Line length 0e720524-d593-4583-a3d2-a0b9cbf1c95b true Length Length false 0 12977 11613 47 20 13002 11623 1 1 {0} 1 Line segment 8c9840aa-59e7-4981-bd26-0f71ea929815 true Line Line false 0 13054 11573 25 60 13068 11603 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true e67b0b22-5a9d-4a3c-a163-a804cde0e427 true Join Curves Join Curves 12969 11363 118 44 13032 11385 1 Curves to join 6809fdce-e949-4d56-8d22-c02db78b9f74 true Curves Curves false 3a3ee721-95ca-4efb-a962-55fa8532ee66 10573088-5312-4ed2-9e0a-1ddee1cfcb60 2 12971 11365 46 20 12995.5 11375 Preserve direction of input curves 549ef6ba-1e6a-4a71-b8b5-2951147d0334 true Preserve Preserve false 0 12971 11385 46 20 12995.5 11395 1 1 {0} false 1 Joined curves and individual curves that could not be joined. b8d28eb9-5e2d-4c20-a201-0922264cabdb true Curves Curves false 0 13047 11365 38 40 13067.5 11385 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 2a4d5012-04cc-4247-915e-1cbb81186d49 true Evaluate Length Evaluate Length 12956 11279 144 64 13030 11311 Curve to evaluate 775abe75-fef3-49f5-a175-af17e68c65f7 true Curve Curve false b8d28eb9-5e2d-4c20-a201-0922264cabdb 1 12958 11281 57 20 12988 11291 Length factor for curve evaluation 6fbe65da-8c89-49d0-907d-3bc03de64fa3 true Length Length false 0 12958 11301 57 20 12988 11311 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 27dbc873-888b-416d-bdf0-07300dee60e0 true Normalized Normalized false 0 12958 11321 57 20 12988 11331 1 1 {0} true Point at the specified length 4b5ad99a-cac6-4c83-990e-81e53e373ef5 true Point Point false 0 13045 11281 53 20 13073 11291 Tangent vector at the specified length 31e03db0-1f3b-4b17-93bb-4a2197d8c5fc true Tangent Tangent false 0 13045 11301 53 20 13073 11311 Curve parameter at the specified length 27483c7f-a0cd-4267-8d77-4a24c3452651 true Parameter Parameter false 0 13045 11321 53 20 13073 11331 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 8fa6f59b-258e-48ca-b17f-63e7e3b21bde true Rotate Rotate 12959 11196 138 64 13027 11228 Base geometry ae08b325-9e4c-4d61-a92c-1e1c3cccd173 true Geometry Geometry true b8d28eb9-5e2d-4c20-a201-0922264cabdb 1 12961 11198 51 20 12988 11208 Rotation angle in radians bd980afc-cbb2-4120-a4a8-f5e3775c1a1f true Angle Angle false 0 false 12961 11218 51 20 12988 11228 1 1 {0} 3.1415926535897931 Rotation plane 8d62c37f-d323-463c-9e42-17446fe6d82b true Plane Plane false 4b5ad99a-cac6-4c83-990e-81e53e373ef5 1 12961 11238 51 20 12988 11248 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry 3736436a-e189-4cc2-a479-2bca159b09e3 true Geometry Geometry false 0 13042 11198 53 30 13070 11213 Transformation data a940d540-b7b2-4d4b-8411-5a1a9238e3f2 true Transform Transform false 0 13042 11228 53 30 13070 11243 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 901e65d6-0c60-4242-bf8e-30887721e972 true Join Curves Join Curves 12969 11133 118 44 13032 11155 1 Curves to join 07438174-d3d1-43b3-b5c2-8a5207e492a4 true Curves Curves false b8d28eb9-5e2d-4c20-a201-0922264cabdb 3736436a-e189-4cc2-a479-2bca159b09e3 2 12971 11135 46 20 12995.5 11145 Preserve direction of input curves 502ede0f-9893-4424-a570-00cbfec07094 true Preserve Preserve false 0 12971 11155 46 20 12995.5 11165 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 150163ee-a573-4863-a15e-d9bc2329fa38 true Curves Curves false 0 13047 11135 38 40 13067.5 11155 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ca997e41-79d8-4e43-be24-c7b4c29481db 3efab561-d7ca-4b3f-8baa-e5c5274c459a 162dd3b1-5741-4663-a444-3fa31148c1ee 3aca04d1-98fe-4378-828f-c99301545001 e67b0b22-5a9d-4a3c-a163-a804cde0e427 2a4d5012-04cc-4247-915e-1cbb81186d49 8fa6f59b-258e-48ca-b17f-63e7e3b21bde 901e65d6-0c60-4242-bf8e-30887721e972 de53a182-560f-41aa-841e-a01c2e117edd 0578316c-418c-4e89-95a7-dc9ddb5ba462 8f66ad49-6028-4a1b-8324-63844d87d550 eb58ff90-1679-4c1c-9aae-21704022ebf7 5c8b78b1-f658-485c-9d77-edfdca1b886d 075789cc-fd97-4a29-a0a4-8c0e2f794e3d 168c86e3-663d-475f-a603-92ce0e6c763d 15 8901b2a5-394d-440a-854c-9cfa8fe88dd9 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 52850b18-b739-4fe3-b12a-324e456a1b0b true Panel false 0 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 1 Double click to edit panel content… 12960 13770 145 20 0 0 0 12960.82 13770.01 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true de53a182-560f-41aa-841e-a01c2e117edd true Curve Curve false 150163ee-a573-4863-a15e-d9bc2329fa38 1 13009 11097 50 24 13034.4 11109.59 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects de53a182-560f-41aa-841e-a01c2e117edd 1 8f5d54fc-e807-440d-a8ba-0e136be67037 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b42663bb-8528-4524-acb7-8ce856e76743 true Panel false 0 0 0.35721403168191375/4/4 12814 13978 439 20 0 0 0 12814.38 13978.1 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 8a1219da-7568-4bee-a1d1-489d4d064c6c true Evaluate Length Evaluate Length 12956 11007 144 64 13030 11039 Curve to evaluate 92d44959-bc71-4fbe-9ede-87e14178003a true Curve Curve false 150163ee-a573-4863-a15e-d9bc2329fa38 1 12958 11009 57 20 12988 11019 Length factor for curve evaluation 6eabb20f-922f-416f-91d1-5ee044d75abf true Length Length false 0 12958 11029 57 20 12988 11039 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) d37207f7-c60c-405b-bac2-bab0dcf75e92 true Normalized Normalized false 0 12958 11049 57 20 12988 11059 1 1 {0} true Point at the specified length 715d3228-557a-47d7-ac3b-0fdca9781950 true Point Point false 0 13045 11009 53 20 13073 11019 Tangent vector at the specified length 4a79a20c-af20-4909-b577-06371b74c968 true Tangent Tangent false 0 13045 11029 53 20 13073 11039 Curve parameter at the specified length 21591b2d-05f9-467a-9470-000d1effa181 true Parameter Parameter false 0 13045 11049 53 20 13073 11059 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 6b22260c-9522-4182-aec8-00efe0989f78 true Expression Expression 12931 10785 194 28 13031 10799 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 50d5f3c6-77d7-4801-a27c-888dddfbe5c9 true Variable O O true 8fe7987c-d7bd-4159-826a-37cf4a5c75a1 1 12933 10787 14 24 12941.5 10799 Result of expression 3f710ea6-bcf4-4622-b73a-df8a80b5ad8c true Result false 0 13114 10787 9 24 13120 10799 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true def5db13-812d-4a84-8f70-2fee3b6ea2e9 true Deconstruct Deconstruct 12962 10919 132 64 13009 10951 Input point 4752f94f-cf52-4ba9-8a23-256842dde942 true Point Point false 715d3228-557a-47d7-ac3b-0fdca9781950 1 12964 10921 30 60 12980.5 10951 Point {x} component 8fe7987c-d7bd-4159-826a-37cf4a5c75a1 true X component X component false 0 13024 10921 68 20 13059.5 10931 Point {y} component b5ad2314-7b8e-4475-b419-38a96c6f62f1 true Y component Y component false 0 13024 10941 68 20 13059.5 10951 Point {z} component 520abc33-a013-47ff-8b6e-5b5a88804d59 true Z component Z component false 0 13024 10961 68 20 13059.5 10971 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values cd7bd7ef-5792-4acf-ac07-684674ce7147 true Panel false 0 3f710ea6-bcf4-4622-b73a-df8a80b5ad8c 1 Double click to edit panel content… 12953 10763 160 20 0 0 0 12953.17 10763.17 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 73efbebe-da42-4797-91d5-a45230a418ca true Expression Expression 12931 10699 194 28 13031 10713 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 71febe23-baa4-4e14-9826-3901f5e01a33 true Variable O O true b5ad2314-7b8e-4475-b419-38a96c6f62f1 1 12933 10701 14 24 12941.5 10713 Result of expression 7adf1ac7-1db3-4ff8-bc2f-7412a52fc615 true Result false 0 13114 10701 9 24 13120 10713 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f2a0f7a2-f430-40a1-926c-4afb69938381 true Panel false 0 7adf1ac7-1db3-4ff8-bc2f-7412a52fc615 1 Double click to edit panel content… 12953 10674 160 20 0 0 0 12953.17 10674.74 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 9a36eaef-3e40-4f52-ac71-623ea3dd3e3d true Division Division 12987 10597 82 44 13018 10619 Item to divide (dividend) c9db6ae2-5901-4366-858e-b35c9bf6cea5 true A A false cd7bd7ef-5792-4acf-ac07-684674ce7147 1 12989 10599 14 20 12997.5 10609 Item to divide with (divisor) 265eca45-c17f-4e71-8a16-5762218afba0 true B B false f2a0f7a2-f430-40a1-926c-4afb69938381 1 12989 10619 14 20 12997.5 10629 The result of the Division 956be425-65f3-4c07-8bbd-8e4c895ff4fc true Result Result false 0 13033 10599 34 40 13051.5 10619 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values bfb59471-3c40-4fc4-9451-b25199c0640b true Panel false 0 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 1 Double click to edit panel content… 12953 10527 160 20 0 0 0 12953.41 10527.23 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 97373ad8-d4a7-40e1-b86f-3a8c7943c731 true Expression Expression 12931 10550 194 28 13031 10564 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e2614ba1-8eaf-4a93-8082-9c19bbbbece1 true Variable O O true 956be425-65f3-4c07-8bbd-8e4c895ff4fc 1 12933 10552 14 24 12941.5 10564 Result of expression bb3d53e4-9d35-4bb9-9aa0-c9ae07dd7e8f true Result false 0 13114 10552 9 24 13120 10564 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 true Relay false bb3d53e4-9d35-4bb9-9aa0-c9ae07dd7e8f 1 13008 10475 40 16 13028 10483 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true b1c735ca-5069-476f-82db-a61298330b88 true Addition Addition 12987 10412 82 44 13018 10434 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 93867321-205d-454b-9dc2-5fe472b7c788 true A A true f2a0f7a2-f430-40a1-926c-4afb69938381 1 12989 10414 14 20 12997.5 10424 Second item for addition 2f0d7698-26d2-4924-9a9b-51a8150ed2b7 true B B true cd7bd7ef-5792-4acf-ac07-684674ce7147 1 12989 10434 14 20 12997.5 10444 Result of addition d49965a1-c8f3-47b1-9120-607fccae8e2a true Result Result false 0 13033 10414 34 40 13051.5 10434 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 303287e2-db47-42d8-ab9a-cdb1cee3814b true Division Division 12987 10262 82 44 13018 10284 Item to divide (dividend) f4c7c5d0-4ef1-4875-986f-5be9362db6ff true A A false a56987c9-5a0c-4c41-973e-58b2ff77fffc 1 12989 10264 14 20 12997.5 10274 Item to divide with (divisor) 98ad531e-020b-4c3a-9987-e936a76b9f47 true B B false 0 12989 10284 14 20 12997.5 10294 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division c16878d3-e56e-4251-a868-a8b484184ed1 true Result Result false 0 13033 10264 34 40 13051.5 10284 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 7f194e45-9fbb-4b38-aaab-583c59ceedee true Expression Expression 12931 10214 194 28 13031 10228 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 03b5db73-054f-4b85-a5ac-03c865422ba3 true Variable O O true c16878d3-e56e-4251-a868-a8b484184ed1 1 12933 10216 14 24 12941.5 10228 Result of expression 1775e30a-c9c5-4710-8acf-5dcff6d23ec2 true Result false 0 13114 10216 9 24 13120 10228 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 327f272f-5bf3-4638-9fd6-29b2a9e888a4 true Panel false 0 1775e30a-c9c5-4710-8acf-5dcff6d23ec2 1 Double click to edit panel content… 12953 10191 160 20 0 0 0 12953.17 10191.09 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a56987c9-5a0c-4c41-973e-58b2ff77fffc true Panel false 0 d5c4e6ab-45a8-4840-b839-07156ae94256 1 Double click to edit panel content… 12953 10343 160 20 0 0 0 12953.17 10343 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0b39b96b-83c9-44e7-9f1c-de7fc93311be true Expression Expression 12931 10365 194 28 13031 10379 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 6f4e7cd2-639b-47be-b218-d6a099329782 true Variable O O true d49965a1-c8f3-47b1-9120-607fccae8e2a 1 12933 10367 14 24 12941.5 10379 Result of expression d5c4e6ab-45a8-4840-b839-07156ae94256 true Result false 0 13114 10367 9 24 13120 10379 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 4a8fc40f-d5bb-4256-90c9-d8031661ab5c true Scale Scale 12951 10091 154 64 13035 10123 Base geometry 7b12511b-5e0b-4065-9c61-db0a2be5d2a9 true Geometry Geometry true de53a182-560f-41aa-841e-a01c2e117edd 1 12953 10093 67 20 12996 10103 Center of scaling 0dcb39c9-84ce-4eca-8404-273701f1ff83 true Center Center false 0 12953 10113 67 20 12996 10123 1 1 {0} 0 0 0 Scaling factor 2872bc84-ab45-44e6-83de-f83ffb72a08c 1/X true Factor Factor false 327f272f-5bf3-4638-9fd6-29b2a9e888a4 1 12953 10133 67 20 12996 10143 1 1 {0} 0.5 Scaled geometry 077a50c5-4230-4e9d-88e4-e384003c5ace true Geometry Geometry false 0 13050 10093 53 30 13078 10108 Transformation data 08a246e1-8400-4e1a-8550-f8b7850481a1 true Transform Transform false 0 13050 10123 53 30 13078 10138 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true f95a37a7-02ee-4695-8d91-4a88e8f95efd true Curve Curve false 077a50c5-4230-4e9d-88e4-e384003c5ace 1 13007 9496 50 24 13032.15 9508.595 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 914c2f95-f40f-4ec9-92ad-a19618256d32 true Expression Expression 12931 10872 194 28 13031 10886 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 71787e88-c0ba-46bc-856a-d53b8248c2c1 true Variable O O true 520abc33-a013-47ff-8b6e-5b5a88804d59 1 12933 10874 14 24 12941.5 10886 Result of expression 72601e6b-5f67-4904-97c5-3fded82a6c38 true Result false 0 13114 10874 9 24 13120 10886 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values efe35352-6dd4-4382-bc7d-4163c1e963ab true Panel false 0 72601e6b-5f67-4904-97c5-3fded82a6c38 1 Double click to edit panel content… 12954 10848 160 20 0 0 0 12954.04 10848.94 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 040ab894-16a7-4940-82e1-b350e4dada1e true Evaluate Length Evaluate Length 12956 9881 144 64 13030 9913 Curve to evaluate fe1f1e92-78c7-4aec-9c8d-0d84bc10a616 true Curve Curve false 077a50c5-4230-4e9d-88e4-e384003c5ace 1 12958 9883 57 20 12988 9893 Length factor for curve evaluation 48a8f31f-819c-4e7e-9876-4bc76d3cdcf5 true Length Length false 0 12958 9903 57 20 12988 9913 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 19f1a357-d0d7-47b1-b70f-288fc63b075a true Normalized Normalized false 0 12958 9923 57 20 12988 9933 1 1 {0} true Point at the specified length 8ea6c37b-ebca-47a5-81d3-d9112b152f94 true Point Point false 0 13045 9883 53 20 13073 9893 Tangent vector at the specified length baf59b17-4e50-4dc7-896d-2d351aa7c3de true Tangent Tangent false 0 13045 9903 53 20 13073 9913 Curve parameter at the specified length 45140397-bf48-487a-af15-b64fbf8147c4 true Parameter Parameter false 0 13045 9923 53 20 13073 9933 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 1d37bbe6-c3d7-4338-8012-3e3131f52e93 true Expression Expression 12931 9664 194 28 13031 9678 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 07efa00c-d36a-4c23-b1b7-49e32afac917 true Variable O O true aae1a44b-611d-4e45-a51c-14913f4e033e 1 12933 9666 14 24 12941.5 9678 Result of expression eadfccdd-a030-46b9-8508-0eb804259e45 true Result false 0 13114 9666 9 24 13120 9678 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true e6f0628a-91eb-498b-9037-e1eda68231cf true Deconstruct Deconstruct 12962 9798 132 64 13009 9830 Input point 9597bb42-c042-4cbc-94c2-00d76d742c82 true Point Point false 8ea6c37b-ebca-47a5-81d3-d9112b152f94 1 12964 9800 30 60 12980.5 9830 Point {x} component aae1a44b-611d-4e45-a51c-14913f4e033e true X component X component false 0 13024 9800 68 20 13059.5 9810 Point {y} component dca7155e-ff8e-4ea6-afd4-b82528685abc true Y component Y component false 0 13024 9820 68 20 13059.5 9830 Point {z} component 26c55cc9-9452-4f22-b056-70d7ed6a2056 true Z component Z component false 0 13024 9840 68 20 13059.5 9850 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4b56d016-6f27-482a-b82d-25e4243c057c true Panel false 0 eadfccdd-a030-46b9-8508-0eb804259e45 1 Double click to edit panel content… 12953 9636 160 20 0 0 0 12953.42 9636.515 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d46a4d3a-f49c-4ddb-a9e2-bef53b448819 true Expression Expression 12931 9578 194 28 13031 9592 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 741633ae-5b83-4e17-a86d-4d489c57326a true Variable O O true dca7155e-ff8e-4ea6-afd4-b82528685abc 1 12933 9580 14 24 12941.5 9592 Result of expression 65249239-7981-494a-9736-325a91f60c37 true Result false 0 13114 9580 9 24 13120 9592 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7617170b-b3ea-4adf-ad17-80da8e4e2314 true Panel false 0 65249239-7981-494a-9736-325a91f60c37 1 Double click to edit panel content… 12953 9550 160 20 0 0 0 12953.43 9550.886 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3776ba36-dc6a-43e9-921c-90277b55795c true Expression Expression 12931 9750 194 28 13031 9764 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d066fed2-7520-461a-b2ac-63ac842c6cd6 true Variable O O true 26c55cc9-9452-4f22-b056-70d7ed6a2056 1 12933 9752 14 24 12941.5 9764 Result of expression 534b85bd-7d4a-4962-ab07-c330e7c72309 true Result false 0 13114 9752 9 24 13120 9764 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1fa63778-59d4-4004-a25a-c4b5189f889b true Panel false 0 534b85bd-7d4a-4962-ab07-c330e7c72309 1 Double click to edit panel content… 12953 9722 160 20 0 0 0 12953.17 9722.726 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8a6b5972-ad07-4ee8-9661-d79409b7ca0c true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 12851 14057 379 104 0 0 0 12851.82 14057.17 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f5daa0a5-064f-48e0-9aea-0037c20fcd07 true Panel false 0 04ab288d-4bc3-45cc-811c-d34b82758547 1 Double click to edit panel content… 12865 12086 337 276 0 0 0 12865.36 12086.51 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 91586ac2-1724-49d2-9bce-dcebd4685515 true Expression Expression 12931 12372 194 28 13031 12386 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 5f1b1897-931b-483b-8234-360fc55eaae5 true Variable O O true 289c80b2-fb40-41f0-a44a-49aa726014ee 1 12933 12374 14 24 12941.5 12386 Result of expression 04ab288d-4bc3-45cc-811c-d34b82758547 true Result false 0 13114 12374 9 24 13120 12386 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers e1807893-da4a-4101-ac40-63126ea670f6 true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 13017 14486 50 24 13042.13 14498.81 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true 8b503ea6-0c14-46fc-ae0b-7ae4ce6243b8 true Curve Graph Mapper Curve Graph Mapper 12859 12654 160 224 12927 12766 1 One or multiple graph curves to graph map values with 4fa2478f-9a4b-4db6-a9c5-6c966e7c1b99 true Curves Curves false 3027a71a-4635-4cc1-9aba-822a13b39df3 1 12861 12656 51 27 12888 12669.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 3618134e-6ba7-4135-8fa9-d436948736c1 true Rectangle Rectangle false 68944cdf-1812-46bf-be46-c932116d0309 1 12861 12683 51 28 12888 12697.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 9126aadf-36f9-4561-8d65-d475abea382e true Values Values false 98be2f6b-4af9-4e29-9c36-c475f903d3e3 1 12861 12711 51 27 12888 12724.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 36539248-d205-4d9b-a7c3-625f5c3fa7bc true X Axis X Axis true 0 12861 12738 51 28 12888 12752.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 41a698ce-1495-4ffd-8c5e-a916b63d54b5 true Y Axis Y Axis true 0 12861 12766 51 27 12888 12779.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 562b20f7-852f-4e99-ab09-2f2502382860 true Flip Flip false 0 12861 12793 51 28 12888 12807.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 33486982-4fe0-4253-8a92-0527cea238f1 true Snap Snap false 0 12861 12821 51 27 12888 12834.75 1 1 {0} true Size of the graph labels bf67c405-eeed-4f32-8536-364fb03db725 true Text Size Text Size false 0 12861 12848 51 28 12888 12862.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 518cbf2e-6b9d-4f2d-a75e-28adad0f2df6 true Mapped Mapped false 0 12942 12656 75 20 12981 12666 1 The graph curves inside the boundary of the graph e8affc17-f22b-40ce-8576-8a5a594267cf true Graph Curves Graph Curves false 0 12942 12676 75 20 12981 12686 1 The points on the graph curves where the X Axis input values intersected true cc7226a1-29c8-4de8-8333-80bbb138e0ff true Graph Points Graph Points false 0 12942 12696 75 20 12981 12706 1 The lines from the X Axis input values to the graph curves true 866a9ee6-6317-4d70-96d9-e90b45017f6f true Value Lines Value Lines false 0 12942 12716 75 20 12981 12726 1 The points plotted on the X Axis which represent the input values true cdaea439-a304-4d90-a26a-4f6980e63010 true Value Points Value Points false 0 12942 12736 75 20 12981 12746 1 The lines from the graph curves to the Y Axis graph mapped values true 0d61d1d2-95cb-4845-b017-5bfbed6f57c7 true Mapped Lines Mapped Lines false 0 12942 12756 75 20 12981 12766 1 The points mapped on the Y Axis which represent the graph mapped values true 4bcfb30d-a242-4a55-8df2-eb08fbae1459 true Mapped Points Mapped Points false 0 12942 12776 75 20 12981 12786 The graph boundary background as a surface dada0a1b-08ff-49d1-b385-8db382e67aea true Boundary Boundary false 0 12942 12796 75 20 12981 12806 1 The graph labels as curve outlines ecf6f6ee-1e26-486e-b690-693b18a49777 true Labels Labels false 0 12942 12816 75 20 12981 12826 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds d3ad9950-3376-4d36-80c2-3b2264aa5310 true Out Of Bounds Out Of Bounds false 0 12942 12836 75 20 12981 12846 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 90c1f607-9c53-4da6-9ee7-0469533595c9 true Intersected Intersected false 0 12942 12856 75 20 12981 12866 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 4c64635c-1880-4b55-b09b-268462bf0344 true End Points End Points 12980 13079 96 44 13030 13101 Curve to evaluate 95f50488-10f7-484e-a0b5-579560c31b6d true Curve Curve false 3027a71a-4635-4cc1-9aba-822a13b39df3 1 12982 13081 33 40 13000 13101 Curve start point e11c1020-6f9c-4b4b-b32a-4e7432b556cf true Start Start false 0 13045 13081 29 20 13061 13091 Curve end point 2c689e04-8b3e-4699-8fea-3eb858e728bf true End End false 0 13045 13101 29 20 13061 13111 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 9b61b62d-1781-425b-8b1f-b7e73ef765da true Rectangle 2Pt Rectangle 2Pt 12965 12977 126 84 13023 13019 Rectangle base plane 982cf8c4-70ac-40db-89f3-2daa0d84d1ab true Plane Plane false 0 12967 12979 41 20 12989 12989 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. f8ca0306-4b17-4e0d-9697-9012293db9f6 true Point A Point A false e11c1020-6f9c-4b4b-b32a-4e7432b556cf 1 12967 12999 41 20 12989 13009 1 1 {0;0;0;0;0} 0 0 0 Second corner point. d3c6c181-fc2a-4099-9f2a-d101aaa517a2 true Point B Point B false 2c689e04-8b3e-4699-8fea-3eb858e728bf 1 12967 13019 41 20 12989 13029 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius a6e773b1-e585-41a8-b6b1-ea7c545e47d6 true Radius Radius false 0 12967 13039 41 20 12989 13049 1 1 {0} 0 Rectangle defined by P, A and B 68944cdf-1812-46bf-be46-c932116d0309 true Rectangle Rectangle false 0 13038 12979 51 40 13065 12999 Length of rectangle curve d7eee376-4b6d-4ae4-bd06-cbf1701d31bd true Length Length false 0 13038 13019 51 40 13065 13039 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true 1ea137c4-3571-4d3f-8ceb-c0cae1c5bf1e true GraphMapper+ GraphMapper+ false 13019 12774 126 104 13086 12826 External curve as a graph 727ae7bf-1ec1-4fa3-af7b-826a268bfc10 true Curve Curve false 3027a71a-4635-4cc1-9aba-822a13b39df3 1 13021 12776 50 20 13047.5 12786 Optional Rectangle boundary. If omitted the curve's would be landed 0a48afc8-ba4a-442b-beed-57dc057b2657 true Boundary Boundary true 68944cdf-1812-46bf-be46-c932116d0309 1 13021 12796 50 20 13047.5 12806 1 List of input numbers 4f3be92b-5577-4566-91cc-27bde2850f1c true Numbers Numbers false 98be2f6b-4af9-4e29-9c36-c475f903d3e3 1 13021 12816 50 20 13047.5 12826 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode dcda5c9c-309a-4247-aff2-4ae45831d040 true Input Input true 5edc401f-3895-4945-8c2d-f590f40a1157 1 13021 12836 50 20 13047.5 12846 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode d0fd23bb-d708-4073-a255-18d81d1c881d true Output Output true 5edc401f-3895-4945-8c2d-f590f40a1157 1 13021 12856 50 20 13047.5 12866 1 Output Numbers 7d7aedd9-db8c-4bd5-a81a-047f433df72b true Number Number false 0 13101 12776 42 100 13123.5 12826 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 768840f7-01a4-42a5-840c-7347ebd0d7e0 true Stream Filter Stream Filter 12994 12571 89 64 13039 12603 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 6166dc6f-defd-43f7-a6e8-44add2a6f2fb true Gate Gate false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 12996 12573 28 20 13011.5 12583 1 1 {0} 0 2 Input stream at index 0 f801da7c-5486-4556-8b59-d119b984defe true false Stream 0 0 true 518cbf2e-6b9d-4f2d-a75e-28adad0f2df6 1 12996 12593 28 20 13011.5 12603 2 Input stream at index 1 df064dba-cba1-43ef-bf05-e7111d9d3d52 true false Stream 1 1 true 7d7aedd9-db8c-4bd5-a81a-047f433df72b 1 12996 12613 28 20 13011.5 12623 2 Filtered stream 6189ad75-b660-4906-90f1-9c39628bb5af true false Stream S(1) false 0 13054 12573 27 60 13069 12603 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 51067a14-7237-490f-9fc3-040d29b665b0 true Number Slider false 0 12963 12498 150 20 12963.79 12498.11 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 144184ab-677d-47bc-a4a6-010cda1cf2cf true Panel false 1 5271eaec-cd7c-467a-8c30-e25fb7c6c83b 1 Double click to edit panel content… 12943 13273 185 271 0 0 0 12943.86 13273.37 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true b3593429-13b3-486e-92c0-19c2f2f74760 true Bounds Bounds 12969 13218 122 28 13033 13232 1 Numbers to include in Bounds 0015b70c-dfd4-468d-87fb-99e014ee25cd true Numbers Numbers false 98be2f6b-4af9-4e29-9c36-c475f903d3e3 1 12971 13220 47 24 12996 13232 Numeric Domain between the lowest and highest numbers in {N} 5edc401f-3895-4945-8c2d-f590f40a1157 true Domain Domain false 0 13048 13220 41 24 13070 13232 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5aeed1da-374b-4672-97ff-7c101c45c07b true Expression Expression 12931 13632 194 28 13031 13646 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 9010cb48-bd4e-4a63-b04d-a245bcfe5d68 true Variable O O true 98be2f6b-4af9-4e29-9c36-c475f903d3e3 1 12933 13634 14 24 12941.5 13646 Result of expression 5271eaec-cd7c-467a-8c30-e25fb7c6c83b true Result false 0 13114 13634 9 24 13120 13646 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 23855da3-6d8e-4093-a346-2efc4f3152ba true Expression Expression 12845 13846 367 28 13031 13860 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3490f8c4-21a5-4afc-9b8f-38a1eb01d3f8 true Variable O O true 44c8431b-375d-4ef1-a714-25316eb80b9d 1 12847 13848 14 24 12855.5 13860 Result of expression bfc88b33-1d04-47f5-9143-8f3eff449d38 true Result false 0 13201 13848 9 24 13207 13860 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a90efd40-4b05-4533-9ad7-0796e67982a3 true Panel false 0 bfc88b33-1d04-47f5-9143-8f3eff449d38 1 Double click to edit panel content… 12944 13810 179 20 0 0 0 12944 13810.23 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f95a37a7-02ee-4695-8d91-4a88e8f95efd 1 312d6dd1-da67-4e61-a386-22acf74b4c94 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 9b6b10be-ffa4-4ec6-aca8-19b2c677acf8 true Scale Scale 12951 10006 154 64 13035 10038 Base geometry 151d7a80-24c3-4048-aaff-b2b431f2f260 true Geometry Geometry true eb58ff90-1679-4c1c-9aae-21704022ebf7 1 12953 10008 67 20 12996 10018 Center of scaling fb3bfa56-e1df-4bec-a349-63e71237122b true Center Center false 0 12953 10028 67 20 12996 10038 1 1 {0} 0 0 0 Scaling factor 762b0b43-6a37-48c9-9c3b-7084c65d47c4 1/X true Factor Factor false 327f272f-5bf3-4638-9fd6-29b2a9e888a4 1 12953 10048 67 20 12996 10058 1 1 {0} 0.5 Scaled geometry 232f379d-252f-43e7-8245-c76be464da39 true Geometry Geometry false 0 13050 10008 53 30 13078 10023 Transformation data a8d3607a-e20a-43d8-9b74-1234afcc0721 true Transform Transform false 0 13050 10038 53 30 13078 10053 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true e1daa472-99c5-415c-bbc5-9bbba42f5076 true Point Point false 232f379d-252f-43e7-8245-c76be464da39 1 13008 9974 50 24 13033.15 9986.765 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 97652b8e-75f7-4d43-9462-ada2217bdd58 true Mirror Mirror 12973 9366 138 44 13041 9388 Base geometry f903c06a-5a71-4ce6-b138-0714a8d77d1b true Geometry Geometry true f95a37a7-02ee-4695-8d91-4a88e8f95efd 1 12975 9368 51 20 13002 9378 Mirror plane 4880345a-79b2-4766-b881-912a835b3dd5 true Plane Plane false 0 12975 9388 51 20 13002 9398 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 05f9e61f-ab36-4bed-901c-3dcb092b801f true Geometry Geometry false 0 13056 9368 53 20 13084 9378 Transformation data ef4a0067-2b47-4214-b794-d1fb39d784d6 true Transform Transform false 0 13056 9388 53 20 13084 9398 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 747334ba-25b6-4ffe-903e-79ffdb0809f9 true Curve Curve false abd700e0-7272-4b12-b976-f23f6bdd2508 1 13015 9266 50 24 13040.4 9278.774 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3027a71a-4635-4cc1-9aba-822a13b39df3 true Relay false fa545612-c892-4dae-8055-7d5d9ab87323 1 13010 13146 40 16 13030 13154 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true aa106f7a-3487-4f92-8b56-9d1b2d731d37 true Curve Curve false 4a97c3c7-cd33-4f5e-9662-be9289e039f1 1 12577 13542 50 24 12602.9 13554.23 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true fa545612-c892-4dae-8055-7d5d9ab87323 true Curve Curve false c5102d30-88f0-494f-bc0d-055251f20f9e 1 12576 13252 50 24 12601.99 13264.38 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 644c7fe6-867c-44c2-a4cd-9a264adfb17a true Scale Scale 12520 13285 154 64 12604 13317 Base geometry 3aa5f8d6-fb60-4c88-821e-8a448ca812ec true Geometry Geometry true aa106f7a-3487-4f92-8b56-9d1b2d731d37 1 12522 13287 67 20 12565 13297 Center of scaling 85e4680e-9ecb-479f-8f5c-4c12b5b07b86 true Center Center false 0 12522 13307 67 20 12565 13317 1 1 {0} 0 0 0 Scaling factor 45337971-a0e9-43c0-86a5-4a629481b09c 2^X true Factor Factor false 46863f08-1441-425a-b843-5656270cea96 1 12522 13327 67 20 12565 13337 1 1 {0} 1 Scaled geometry c5102d30-88f0-494f-bc0d-055251f20f9e true Geometry Geometry false 0 12619 13287 53 30 12647 13302 Transformation data 4ea7fb01-d083-41b4-b9e0-8c54ef6353a3 true Transform Transform false 0 12619 13317 53 30 12647 13332 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects aa106f7a-3487-4f92-8b56-9d1b2d731d37 fa545612-c892-4dae-8055-7d5d9ab87323 644c7fe6-867c-44c2-a4cd-9a264adfb17a 27899f96-8899-44d3-a06c-50d23c4c5623 cc7b31a5-0379-447c-8885-33d3b801e4fa 99ef6a4a-9efd-4801-aafd-77544814a52a 78283bb6-5ad0-4b08-b77f-6203ce2f82c7 b73a0dce-7bd8-477e-bf1d-e09a65723038 46863f08-1441-425a-b843-5656270cea96 82d97c41-4d45-4a35-bf34-867ab61335e2 a0c8b687-11e0-4ade-8843-7ea40892af01 11 a1747f74-e54a-46ee-bcfe-18698c9d98c9 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 8d228938-b7a0-485e-b640-49199a3a4d21 true Move Move 12973 9302 138 44 13041 9324 Base geometry 6c9fd734-53d4-4db9-9f91-2a14aff09f43 true Geometry Geometry true f95a37a7-02ee-4695-8d91-4a88e8f95efd 1 12975 9304 51 20 13002 9314 Translation vector 4e80f37a-6bb2-49da-8246-ec6315413ac0 true Motion Motion false 0 12975 9324 51 20 13002 9334 1 1 {0} 15 0 0 Translated geometry abd700e0-7272-4b12-b976-f23f6bdd2508 true Geometry Geometry false 0 13056 9304 53 20 13084 9314 Transformation data 0fa38cb0-8754-4806-92c6-a44649d55bc9 true Transform Transform false 0 13056 9324 53 20 13084 9334 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers cc7b31a5-0379-447c-8885-33d3b801e4fa true Digit Scroller false 0 12 2 0.0000000000 12474 13498 250 20 12474.72 13498.61 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 99ef6a4a-9efd-4801-aafd-77544814a52a true Panel false 0 0 16.93121320041889709 12534 13377 144 20 0 0 0 12534.46 13377.09 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 78283bb6-5ad0-4b08-b77f-6203ce2f82c7 true Curve Curve false 0 12576 13209 50 24 12601.99 13221.38 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true b73a0dce-7bd8-477e-bf1d-e09a65723038 true Curve Curve false 0 12580 13679 50 24 12605.49 13691.33 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b3bb8380-0f13-4616-b698-7ff28b0c2cbf true Panel false 0 0 0.00137956207 12814 14020 439 20 0 0 0 12814.38 14020.7 255;255;255;255 false false true false false true 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 5d45b645-ad94-471b-acde-1fa0834367da true End Points End Points 13398 9997 96 44 13448 10019 Curve to evaluate bea86491-d999-44e0-82c5-70899a785d68 true Curve Curve false 0941d520-fa4e-4f2a-883b-2b04f88285ca 1 13400 9999 33 40 13418 10019 Curve start point 7bcd5a1b-72e3-4eaa-a089-2bb140a5a2c6 true Start Start false 0 13463 9999 29 20 13479 10009 Curve end point acfea654-9953-45fb-bb89-52d91f8fd827 true End End false 0 13463 10019 29 20 13479 10029 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 83c93570-6862-4d5e-b9ce-88d9d5dc5e5a true Rectangle 2Pt Rectangle 2Pt 13383 9894 126 84 13441 9936 Rectangle base plane d7b0de37-a805-4cda-b55d-9ca2085f2d6c true Plane Plane false 0 13385 9896 41 20 13407 9906 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 8c4ba4bb-c076-4849-8cf5-b0dab35c4e32 true Point A Point A false 7bcd5a1b-72e3-4eaa-a089-2bb140a5a2c6 1 13385 9916 41 20 13407 9926 1 1 {0} 0 0 0 Second corner point. 47b191da-1329-408c-9609-3c085b8a0469 true Point B Point B false acfea654-9953-45fb-bb89-52d91f8fd827 1 13385 9936 41 20 13407 9946 1 1 {0} 10 5 0 Rectangle corner fillet radius 74603bcc-7055-4910-9b35-a68d5977884c true Radius Radius false 0 13385 9956 41 20 13407 9966 1 1 {0} 0 Rectangle defined by P, A and B e68c2971-d028-4718-b084-023097ddcddd true Rectangle Rectangle false 0 13456 9896 51 40 13483 9916 Length of rectangle curve 26a52d53-98da-47bc-84f0-c470a5ce3f17 true Length Length false 0 13456 9936 51 40 13483 9956 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true 75e8872e-b767-4df3-969c-d8d681c63c48 true Deconstuct Rectangle Deconstuct Rectangle 13375 9811 142 64 13443 9843 Rectangle to deconstruct 2e4b28d2-d659-4360-8273-1a2cba5c60b0 true Rectangle Rectangle false e68c2971-d028-4718-b084-023097ddcddd 1 13377 9813 51 60 13404 9843 Base plane of rectangle ef2d379f-46cc-496b-b054-a8257a497987 true Base Plane Base Plane false 0 13458 9813 57 20 13488 9823 Size interval along base plane X axis 017a319a-e7f1-4d8c-882a-e80db6229d47 true X Interval X Interval false 0 13458 9833 57 20 13488 9843 Size interval along base plane Y axis fb8bbb70-8d0e-4604-8af7-de0d83a01b81 true Y Interval Y Interval false 0 13458 9853 57 20 13488 9863 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true 2531dcc1-1359-441d-bb5b-d61d41f0a1cd true Deconstruct Domain Deconstruct Domain 13394 9684 104 44 13452 9706 Base domain a34a2ee9-76d5-48d0-a24d-8887ec332439 true Domain Domain false 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9613 53 50 13496 9638 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5d45b645-ad94-471b-acde-1fa0834367da 83c93570-6862-4d5e-b9ce-88d9d5dc5e5a 75e8872e-b767-4df3-969c-d8d681c63c48 2531dcc1-1359-441d-bb5b-d61d41f0a1cd 79ebff82-d12e-47e6-b942-5f8f29902a76 2175c2eb-8418-4d8e-b6f0-9592ea83f481 0941d520-fa4e-4f2a-883b-2b04f88285ca 671e2d5b-7a1b-4857-abe3-e22c81a1e82b 4d2995ec-f517-4033-9ba5-874c44f3de88 03630ecd-8960-4a8e-b53c-5a4eb650a12c 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d db0e5084-e41c-47ef-a124-40b8b11485f0 12 90333eee-8a77-4cc3-b90a-5c4f8fac5cd7 Group d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 0941d520-fa4e-4f2a-883b-2b04f88285ca true Curve Curve false f95a37a7-02ee-4695-8d91-4a88e8f95efd 1 13426 10071 50 24 13451.04 10083.98 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 671e2d5b-7a1b-4857-abe3-e22c81a1e82b true Curve Curve false 1954d808-6d58-46b1-8535-bf85ef84a145 1 13422 9520 50 24 13447.82 9532.23 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 4d2995ec-f517-4033-9ba5-874c44f3de88 true Move Move 13375 9308 138 44 13443 9330 Base geometry 6b550049-4a33-4f5f-a95f-2da7cf3604fc true Geometry Geometry true 671e2d5b-7a1b-4857-abe3-e22c81a1e82b 1 13377 9310 51 20 13404 9320 Translation vector c32c916a-86a8-4761-b919-7971eabaf253 true Motion Motion false 75fa1694-2418-4355-bd94-daa9c1c93502 1 13377 9330 51 20 13404 9340 1 1 {0} 5 1.5 0 Translated geometry 88effb8b-28ee-43f0-9fe9-eb5ae117b933 true Geometry Geometry false 0 13458 9310 53 20 13486 9320 Transformation data ed196765-c548-443d-8ea7-f26e0560b3a4 true Transform Transform false 0 13458 9330 53 20 13486 9340 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 03630ecd-8960-4a8e-b53c-5a4eb650a12c true Curve Curve false 88effb8b-28ee-43f0-9fe9-eb5ae117b933 1 13423 9266 50 24 13448.15 9278.443 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e116f652-78b8-4735-8f71-f6f1873d88b9 true Panel false 0 0 0.00032220000 0.00000220000 12814 14181 439 22 0 0 0 12814.68 14181.66 255;255;255;255 false false true false false true 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 21638327-81a0-4d48-9669-827f5c814dcd true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00007777700 12907 14332 251 20 12907.29 14332.06 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c710e993-fc29-41c9-b745-41d336c03101 true Panel false 0 0 0.00137956207*4*4*4*4 12814 14240 439 20 0 0 0 12814.13 14240.7 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression 1/X true 3cfc6172-94c3-4f48-80d3-443b91211fe6 true Expression 12996 14428 79 28 13038 14442 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 006526e6-183e-47bb-a061-5eb50a7adab5 1 30a50f70-7130-4fb3-9d08-0582ba85419a Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c9ada40f-5341-47fb-b6d4-6794a5dca0f2 1 f80376c0-536c-40be-ad10-f46d06389f61 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ae80dfe3-a313-4a88-92a6-a20ee6daf34f adb121fb-0265-42e6-af4a-bbacd31ccdcd c224342c-801f-4459-9224-44879ddf539f becc2c8d-d4ff-402a-a84d-52b3646340a8 af815646-47d5-42f6-83e4-d86113591719 b2801c2b-375a-4163-b78d-13fa2985f2c7 4549efe2-6ef9-495b-b73e-d57b1d8658c3 bade2dc2-5919-4723-bde3-ebdd9bc0713a aef0bf4e-e25c-416a-8bff-b54952ed560e 154082cc-7a35-4674-b6aa-b500c958394e f80376c0-536c-40be-ad10-f46d06389f61 30a50f70-7130-4fb3-9d08-0582ba85419a 437d0179-cf59-4b71-b44c-2f0819520383 97f21de3-e5ca-44d8-b46b-64b07047104c 253cf695-782b-4de5-9fbb-cabcf3a053b2 97691683-4494-42b5-bac4-02ec9576c740 df89b0dd-b37d-4dd1-b093-cce1b1dca103 ff43fc76-5f3f-4cc4-84fb-7a68f99e8220 b7a4989e-d29c-4763-b390-a6211a60c766 884d7e27-d1d4-4c46-9811-b5a25cb04385 20 a43c918b-5705-4549-a9e5-dd8e1081058d Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true ae80dfe3-a313-4a88-92a6-a20ee6daf34f true Duplicate Data Duplicate Data 14854 14318 104 64 14913 14350 1 Data to duplicate ff56df39-c0f4-4fe0-bd94-e574973cca5d true Data Data false 9f0aa848-e2c9-40b8-8f03-e94966a7c223 1 14856 14320 42 20 14878.5 14330 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 81375a2d-e09e-4195-ae81-c196552c9a85 true Number Number false 8f60c651-4f0f-4481-9816-919bbdee7a7a 1 14856 14340 42 20 14878.5 14350 1 1 {0} 500 Retain list order 3ff9dcaf-5557-44fe-9703-6cc524b52949 true Order Order false 0 14856 14360 42 20 14878.5 14370 1 1 {0} true 1 Duplicated data a3a04c49-57ed-4472-9661-4bb034dc3e70 true Data Data false 0 14928 14320 28 60 14943.5 14350 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true adb121fb-0265-42e6-af4a-bbacd31ccdcd true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 14840 12390 116 44 14901 12412 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 69a076bb-ad33-4627-92b2-59b6850314e0 true Forward Forward true 1 true a3a04c49-57ed-4472-9661-4bb034dc3e70 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 14842 12392 44 20 14865.5 12402 1 false Script Variable Left 3535288e-d0d3-4353-ab12-57d2c3faf192 true Left Left true 1 true 9af3e55d-34ce-45a8-a8db-6eaa07661438 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 14842 12412 44 20 14865.5 12422 Print, Reflect and Error streams 39bcc335-5d73-44ba-baf2-2cb1d86a18f2 true Output Output false 0 14916 12392 38 20 14936.5 12402 Output parameter Points 919d17fe-401d-4453-ae1a-4909779e11cd true Points Points false 0 14916 12412 38 20 14936.5 12422 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true becc2c8d-d4ff-402a-a84d-52b3646340a8 true Series Series 14851 13647 101 64 14901 13679 First number in the series 6f679c91-49e5-4c7e-8e98-48ec5b608074 true Start Start false 0 14853 13649 33 20 14871 13659 1 1 {0} 0 Step size for each successive number 4a924eb0-7484-4ec3-ad5f-f266d7375d9c true Step Step false 13ee932b-d7c2-4da3-a838-3c1d3a1bf1d3 1 14853 13669 33 20 14871 13679 1 1 {0} 1 Number of values in the series 52969ee4-d7e9-42b8-bd21-5bef06c6a92d true Count Count false 8f60c651-4f0f-4481-9816-919bbdee7a7a 1 14853 13689 33 20 14871 13699 1 Series of numbers 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 true Series Series false 0 14916 13649 34 60 14934.5 13679 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values af815646-47d5-42f6-83e4-d86113591719 true Number Slider false 0 14837 14498 150 20 14837.08 14498.52 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true b2801c2b-375a-4163-b78d-13fa2985f2c7 true Radians Radians 14840 13864 120 28 14901 13878 Angle in degrees 92b402f2-e002-45e9-810a-7626997b23e1 true Degrees Degrees false f75ec5b3-bb3a-4926-8ec3-92d810a33dfd 1 14842 13866 44 24 14865.5 13878 Angle in radians edbce4e2-4993-4d29-83d2-ab63c7ae5f03 true Radians Radians false 0 14916 13866 42 24 14938.5 13878 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 4549efe2-6ef9-495b-b73e-d57b1d8658c3 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 14777 14173 251 20 14777.79 14173.79 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true 154082cc-7a35-4674-b6aa-b500c958394e true Interpolate (t) Interpolate (t) 14826 11625 144 84 14912 11667 1 Interpolation points 085e3c55-9916-4643-b326-6cb8667b9e47 true Vertices Vertices false f1dc7722-f68a-4e76-a629-9d79f7fa672e 1 14828 11627 69 20 14864 11637 Tangent at start of curve 8db3fd17-eaec-45f0-b573-63fe670a9e68 true Tangent Start Tangent Start false 0 14828 11647 69 20 14864 11657 1 1 {0} 0.0625 0 0 Tangent at end of curve b15ea709-c33c-4332-b228-c91dd9a2a4e0 true Tangent End Tangent End false 0 14828 11667 69 20 14864 11677 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 25fa54c6-e614-4918-b44e-ebc08692e71b true KnotStyle KnotStyle false 0 14828 11687 69 20 14864 11697 1 1 {0} 2 Resulting nurbs curve d88503dc-2c62-4e69-ba78-bfe7342a61a8 true Curve Curve false 0 14927 11627 41 26 14949 11640.33 Curve length c4907d9d-8775-4b32-a2ce-76123d79df21 true Length Length false 0 14927 11653 41 27 14949 11667 Curve domain 71f2995a-ce7f-4af1-81b8-73fa005125ec true Domain Domain false 0 14927 11680 41 27 14949 11693.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ae80dfe3-a313-4a88-92a6-a20ee6daf34f adb121fb-0265-42e6-af4a-bbacd31ccdcd c224342c-801f-4459-9224-44879ddf539f becc2c8d-d4ff-402a-a84d-52b3646340a8 af815646-47d5-42f6-83e4-d86113591719 b2801c2b-375a-4163-b78d-13fa2985f2c7 4549efe2-6ef9-495b-b73e-d57b1d8658c3 bade2dc2-5919-4723-bde3-ebdd9bc0713a 41cbdf17-5670-4397-882a-c79b5a46405e 48876b36-f626-482f-aaef-f2d6994b6eda d7d14ac5-f97b-49bc-b1c5-f762228131a0 71563604-0f17-46fb-8b7b-3fdd0433bc46 3566668c-48cb-416c-9081-8c205676cb55 02bd4f03-e28f-42f6-b942-16421ebb3bff 14 aef0bf4e-e25c-416a-8bff-b54952ed560e Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 42c88318-5a88-4cc1-ab28-b1d73dd652d7 true Evaluate Length Evaluate Length 14826 11457 144 64 14900 11489 Curve to evaluate 33834da1-79a1-4625-9ee2-434b9837cc8e true Curve Curve false d88503dc-2c62-4e69-ba78-bfe7342a61a8 1 14828 11459 57 20 14858 11469 Length factor for curve evaluation 13819db4-e774-41e8-aea3-31f69fa0763e true Length Length false 0 14828 11479 57 20 14858 11489 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 23dd6840-78f7-4ead-9d69-9b71c7fefb30 true Normalized Normalized false 0 14828 11499 57 20 14858 11509 1 1 {0} true Point at the specified length d6d0f16c-54ac-4295-9b0f-a8266e615099 true Point Point false 0 14915 11459 53 20 14943 11469 Tangent vector at the specified length 2ad407a9-024e-4895-aa40-d775a50bb83b true Tangent Tangent false 0 14915 11479 53 20 14943 11489 Curve parameter at the specified length 9d363ecb-7b03-42c9-9b02-cc3181eb0e26 true Parameter Parameter false 0 14915 11499 53 20 14943 11509 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 4196cce7-460e-4004-a74b-b9b355653474 true Mirror Mirror 14829 11395 138 44 14897 11417 Base geometry 5bb21746-b4df-477e-a676-ff397612bb3a true Geometry Geometry true d88503dc-2c62-4e69-ba78-bfe7342a61a8 1 14831 11397 51 20 14858 11407 Mirror plane 77ed8759-61eb-4004-be75-4ccdc65d405c true Plane Plane false bf1fee78-eb88-4160-8a82-9bb93579c084 1 14831 11417 51 20 14858 11427 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry ed1b0dbf-24bd-4ff7-be7a-d274b307f13c true Geometry Geometry false 0 14912 11397 53 20 14940 11407 Transformation data 31077e74-b262-4964-9a7c-689960ca5f18 true Transform Transform false 0 14912 11417 53 20 14940 11427 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 80dfd0f0-9792-40d9-85e6-db5ebe0eadf9 true Line SDL Line SDL 14845 11541 106 64 14909 11573 Line start point 29623dbf-7241-4bd8-8f70-d96af2dd738b true Start Start false d6d0f16c-54ac-4295-9b0f-a8266e615099 1 14847 11543 47 20 14872 11553 Line tangent (direction) 8f1b2f1d-da3b-4cfd-8602-da06e5c8228e true Direction Direction false 2ad407a9-024e-4895-aa40-d775a50bb83b 1 14847 11563 47 20 14872 11573 1 1 {0} 0 0 1 Line length 5b3b7c31-b896-4f5d-b437-71dec5618fb0 true Length Length false 0 14847 11583 47 20 14872 11593 1 1 {0} 1 Line segment bf1fee78-eb88-4160-8a82-9bb93579c084 true Line Line false 0 14924 11543 25 60 14938 11573 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true dfa591dc-8a9d-4616-9e21-0f4563b802ca true Join Curves Join Curves 14839 11333 118 44 14902 11355 1 Curves to join 77af013e-d83a-4fb0-97fc-faa7334a94a1 true Curves Curves false d88503dc-2c62-4e69-ba78-bfe7342a61a8 ed1b0dbf-24bd-4ff7-be7a-d274b307f13c 2 14841 11335 46 20 14865.5 11345 Preserve direction of input curves 311e7075-f1e3-46d4-bda6-fda956f786d3 true Preserve Preserve false 0 14841 11355 46 20 14865.5 11365 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 47b67870-e525-4da9-897b-54c917b48e9f true Curves Curves false 0 14917 11335 38 40 14937.5 11355 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 7344168c-2ee2-44a9-8393-8ce7cc783a0b true Evaluate Length Evaluate Length 14826 11249 144 64 14900 11281 Curve to evaluate 5a0c67d5-c964-44a4-8505-1bad1ff54c7c true Curve Curve false 47b67870-e525-4da9-897b-54c917b48e9f 1 14828 11251 57 20 14858 11261 Length factor for curve evaluation d1070862-339a-4899-a8a5-3e1d8b215022 true Length Length false 0 14828 11271 57 20 14858 11281 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 5e8d2367-9f92-4f0e-a6dd-0b178aa7842c true Normalized Normalized false 0 14828 11291 57 20 14858 11301 1 1 {0} true Point at the specified length eba5b44d-c31a-488b-a39f-da838bbae658 true Point Point false 0 14915 11251 53 20 14943 11261 Tangent vector at the specified length d8a5c4cb-be3d-4378-9e69-68a1e9aed991 true Tangent Tangent false 0 14915 11271 53 20 14943 11281 Curve parameter at the specified length c0f8f4a8-6c43-47dc-8342-8943fd30d622 true Parameter Parameter false 0 14915 11291 53 20 14943 11301 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true a5f32588-ab0c-44eb-ba85-0e5af9e5b1a5 true Rotate Rotate 14829 11166 138 64 14897 11198 Base geometry c31c5198-8d67-4cf3-8204-e7dd8487af42 true Geometry Geometry true 47b67870-e525-4da9-897b-54c917b48e9f 1 14831 11168 51 20 14858 11178 Rotation angle in radians 7ae0de57-d0da-4430-91e0-90b64394e8ee true Angle Angle false 0 false 14831 11188 51 20 14858 11198 1 1 {0} 3.1415926535897931 Rotation plane 4bd8f105-113c-492d-874e-6ef6b77ab63a true Plane Plane false eba5b44d-c31a-488b-a39f-da838bbae658 1 14831 11208 51 20 14858 11218 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry 3c6a0a5e-d557-46d7-a37d-6f4a05aaf344 true Geometry Geometry false 0 14912 11168 53 30 14940 11183 Transformation data 1eeeba5c-687e-4375-a8bd-b8e3c7ca7a42 true Transform Transform false 0 14912 11198 53 30 14940 11213 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true e6f94cd8-4e8c-4079-a97c-93a4146e6a65 true Join Curves Join Curves 14839 11103 118 44 14902 11125 1 Curves to join 7f4f8a8c-0c2d-45c2-a138-33c236f9518e true Curves Curves false 47b67870-e525-4da9-897b-54c917b48e9f 3c6a0a5e-d557-46d7-a37d-6f4a05aaf344 2 14841 11105 46 20 14865.5 11115 Preserve direction of input curves 43bd2df2-6a1a-46d6-97f1-a63cc39c765d true Preserve Preserve false 0 14841 11125 46 20 14865.5 11135 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 87270a07-9b0e-4060-b369-56cff5f3c0ff true Curves Curves false 0 14917 11105 38 40 14937.5 11125 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 154082cc-7a35-4674-b6aa-b500c958394e 42c88318-5a88-4cc1-ab28-b1d73dd652d7 4196cce7-460e-4004-a74b-b9b355653474 80dfd0f0-9792-40d9-85e6-db5ebe0eadf9 dfa591dc-8a9d-4616-9e21-0f4563b802ca 7344168c-2ee2-44a9-8393-8ce7cc783a0b a5f32588-ab0c-44eb-ba85-0e5af9e5b1a5 e6f94cd8-4e8c-4079-a97c-93a4146e6a65 467170c3-a747-450d-9db5-691d3222c764 131ff6e2-f7c7-4eab-b513-44501fc0b6a5 7553f3fd-a0e1-4ee6-9ccc-33ae6881a31e f1dc7722-f68a-4e76-a629-9d79f7fa672e 77c71397-d676-43a5-855e-28a04de20cf2 9856b67b-38f1-47bf-a90e-f1d15176eaba 3436aa80-e9b3-4e21-b285-fc7f29fd2145 15 c9ada40f-5341-47fb-b6d4-6794a5dca0f2 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 52262361-49d9-4469-8e9c-3f68257aa8fc true Panel false 0 25a69c15-0d48-436c-8d7f-63db8b42c0e5 1 Double click to edit panel content… 14830 13740 145 20 0 0 0 14830.82 13740.01 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 467170c3-a747-450d-9db5-691d3222c764 true Curve Curve false 87270a07-9b0e-4060-b369-56cff5f3c0ff 1 14879 11067 50 24 14904.4 11079.59 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 467170c3-a747-450d-9db5-691d3222c764 1 a4271c84-25cd-4656-b57b-6e1b9075a8c3 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 48876b36-f626-482f-aaef-f2d6994b6eda true Panel false 0 0 0.35721403168191375/4/4 14684 13948 439 20 0 0 0 14684.38 13948.1 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true a063af2c-0f6d-470c-a90b-c1c4d076f24c true Evaluate Length Evaluate Length 14826 10977 144 64 14900 11009 Curve to evaluate 51767dcf-d676-42f1-b9c0-d3c9f2a7bda0 true Curve Curve false 87270a07-9b0e-4060-b369-56cff5f3c0ff 1 14828 10979 57 20 14858 10989 Length factor for curve evaluation b2c11a07-c2ca-439e-8a1b-e49ed1c18ecd true Length Length false 0 14828 10999 57 20 14858 11009 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 2721858a-7863-41ef-a05e-b6f3636b0b4b true Normalized Normalized false 0 14828 11019 57 20 14858 11029 1 1 {0} true Point at the specified length 3f610739-66f6-4133-aa9c-ed9c6305e3f4 true Point Point false 0 14915 10979 53 20 14943 10989 Tangent vector at the specified length 64f79a76-8a3d-4d8b-be29-9fed7f53e215 true Tangent Tangent false 0 14915 10999 53 20 14943 11009 Curve parameter at the specified length abcabf8e-24de-45a4-bde5-7bcd371a8b8c true Parameter Parameter false 0 14915 11019 53 20 14943 11029 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 344dd78f-bc3b-4f6d-af05-f16bc0412c5a true Expression Expression 14801 10755 194 28 14901 10769 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 4d535d2c-bbe2-4b57-b7a6-c3954af9f7f1 true Variable O O true fe418519-b8ba-4dbb-9e0f-b12fa9206367 1 14803 10757 14 24 14811.5 10769 Result of expression ef3bfa83-b838-434e-993d-51b7f1b8af4a true Result false 0 14984 10757 9 24 14990 10769 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 473634ed-a08c-4654-828a-ef2745fb8393 true Deconstruct Deconstruct 14832 10889 132 64 14879 10921 Input point 49002525-a6ba-442c-aa90-5322377ababe true Point Point false 3f610739-66f6-4133-aa9c-ed9c6305e3f4 1 14834 10891 30 60 14850.5 10921 Point {x} component fe418519-b8ba-4dbb-9e0f-b12fa9206367 true X component X component false 0 14894 10891 68 20 14929.5 10901 Point {y} component 15db37b0-02fc-435e-bc25-46b85ad3378f true Y component Y component false 0 14894 10911 68 20 14929.5 10921 Point {z} component 715c06e8-a74c-4ace-8ec0-decda66aca63 true Z component Z component false 0 14894 10931 68 20 14929.5 10941 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b23dda2d-4cf2-4cb6-b260-5f3522944c45 true Panel false 0 ef3bfa83-b838-434e-993d-51b7f1b8af4a 1 Double click to edit panel content… 14823 10733 160 20 0 0 0 14823.17 10733.17 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 263a199d-3906-45d1-ac2e-72cea27641d2 true Expression Expression 14801 10669 194 28 14901 10683 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 8be8b8d1-37d4-41a5-a697-99646f965bd8 true Variable O O true 15db37b0-02fc-435e-bc25-46b85ad3378f 1 14803 10671 14 24 14811.5 10683 Result of expression c175e21a-e0f7-451b-949c-6db2cffdd08e true Result false 0 14984 10671 9 24 14990 10683 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 23fe9e65-96db-4c54-ad7a-0de18adbab80 true Panel false 0 c175e21a-e0f7-451b-949c-6db2cffdd08e 1 Double click to edit panel content… 14823 10644 160 20 0 0 0 14823.17 10644.74 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 341fbc99-3289-4790-b610-401be29ac2fc true Division Division 14857 10567 82 44 14888 10589 Item to divide (dividend) 55d58eb0-9439-434f-ba94-ef2b826950d0 true A A false b23dda2d-4cf2-4cb6-b260-5f3522944c45 1 14859 10569 14 20 14867.5 10579 Item to divide with (divisor) b9673105-b4e7-4687-99e8-7cdb06e86a62 true B B false 23fe9e65-96db-4c54-ad7a-0de18adbab80 1 14859 10589 14 20 14867.5 10599 The result of the Division 8ce03f10-5eea-4434-9d47-53e91dfeff6b true Result Result false 0 14903 10569 34 40 14921.5 10589 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d93403d2-b922-4f1b-a7a6-577adea13116 true Panel false 0 25a69c15-0d48-436c-8d7f-63db8b42c0e5 1 Double click to edit panel content… 14823 10497 160 20 0 0 0 14823.41 10497.23 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 8173c5fe-8e0e-41eb-86ac-aafc074e52c8 true Expression Expression 14801 10520 194 28 14901 10534 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2706512d-c871-45eb-b886-7e623129892c true Variable O O true 8ce03f10-5eea-4434-9d47-53e91dfeff6b 1 14803 10522 14 24 14811.5 10534 Result of expression 2fd16187-6c8d-4e2a-9b75-62f1c843c3d9 true Result false 0 14984 10522 9 24 14990 10534 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 25a69c15-0d48-436c-8d7f-63db8b42c0e5 true Relay false 2fd16187-6c8d-4e2a-9b75-62f1c843c3d9 1 14878 10445 40 16 14898 10453 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true b45a9237-ddd9-4d64-89db-ebf9da902659 true Addition Addition 14857 10382 82 44 14888 10404 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 29569677-0635-4d33-91ad-54e05df56384 true A A true 23fe9e65-96db-4c54-ad7a-0de18adbab80 1 14859 10384 14 20 14867.5 10394 Second item for addition bf00d645-32ea-405f-97eb-186f51929b17 true B B true b23dda2d-4cf2-4cb6-b260-5f3522944c45 1 14859 10404 14 20 14867.5 10414 Result of addition 1a440a1e-7ce2-491e-a325-6b1e9ba51631 true Result Result false 0 14903 10384 34 40 14921.5 10404 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true c2f1f768-86d4-4f76-ad79-7f2a0dcabb4e true Division Division 14857 10232 82 44 14888 10254 Item to divide (dividend) bae49b4d-bd39-409a-b739-4ce6565848d6 true A A false 23ef0277-c564-455f-b452-6c0d11eebeb4 1 14859 10234 14 20 14867.5 10244 Item to divide with (divisor) e5fc7fb6-2a9f-47a3-b0bb-dbe4c19a01e0 true B B false 0 14859 10254 14 20 14867.5 10264 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 988498e2-0181-4b2d-aa29-a1ed8e769a34 true Result Result false 0 14903 10234 34 40 14921.5 10254 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e337558f-550d-4086-aca1-2c76451a8265 true Expression Expression 14801 10184 194 28 14901 10198 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable b651c8f0-b8a4-44eb-b8a6-34be29beb2e4 true Variable O O true 988498e2-0181-4b2d-aa29-a1ed8e769a34 1 14803 10186 14 24 14811.5 10198 Result of expression cb0edf30-d7b3-4458-b148-680f9ec8ac8b true Result false 0 14984 10186 9 24 14990 10198 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 654488ab-cbd5-4b27-abbc-fae35a1fcba2 true Panel false 0 cb0edf30-d7b3-4458-b148-680f9ec8ac8b 1 Double click to edit panel content… 14823 10161 160 20 0 0 0 14823.17 10161.09 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 23ef0277-c564-455f-b452-6c0d11eebeb4 true Panel false 0 7f9cea07-b71a-44e7-a917-7cd22db590d6 1 Double click to edit panel content… 14823 10313 160 20 0 0 0 14823.17 10313 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 795a343d-f80f-4476-bb42-ab4376f9b364 true Expression Expression 14801 10335 194 28 14901 10349 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e13712ef-ac2a-4493-b392-aaa38c07f7ff true Variable O O true 1a440a1e-7ce2-491e-a325-6b1e9ba51631 1 14803 10337 14 24 14811.5 10349 Result of expression 7f9cea07-b71a-44e7-a917-7cd22db590d6 true Result false 0 14984 10337 9 24 14990 10349 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true ebc157b3-3407-4a6d-a9bb-16a4b26b7bd8 true Scale Scale 14821 10061 154 64 14905 10093 Base geometry 055448bf-029b-491d-bc2d-9352756ad499 true Geometry Geometry true 467170c3-a747-450d-9db5-691d3222c764 1 14823 10063 67 20 14866 10073 Center of scaling 3351799c-de4a-48fc-b46b-beca7594cf16 true Center Center false 0 14823 10083 67 20 14866 10093 1 1 {0} 0 0 0 Scaling factor 03a7d3e4-aec3-4f35-a051-6ab099c004d8 1/X true Factor Factor false 654488ab-cbd5-4b27-abbc-fae35a1fcba2 1 14823 10103 67 20 14866 10113 1 1 {0} 0.5 Scaled geometry b13ecf53-af5d-4706-9a96-c01d1fd8e5c4 true Geometry Geometry false 0 14920 10063 53 30 14948 10078 Transformation data 14951772-67bd-479c-95bc-e66cc81f3d91 true Transform Transform false 0 14920 10093 53 30 14948 10108 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 4a84cf0c-40ed-4abf-b243-4081436673d6 true Curve Curve false b13ecf53-af5d-4706-9a96-c01d1fd8e5c4 1 14877 9466 50 24 14902.15 9478.595 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 74b7e1ea-51ea-4a7d-8398-fc7c6c939177 true Expression Expression 14801 10842 194 28 14901 10856 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3402099a-5604-48c6-ace1-aa1805d2264d true Variable O O true 715c06e8-a74c-4ace-8ec0-decda66aca63 1 14803 10844 14 24 14811.5 10856 Result of expression c3425892-f54d-45dd-a2c2-ee8519282c24 true Result false 0 14984 10844 9 24 14990 10856 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 40c04e3c-10b0-4be2-9dd0-3f635f9f1de3 true Panel false 0 c3425892-f54d-45dd-a2c2-ee8519282c24 1 Double click to edit panel content… 14824 10818 160 20 0 0 0 14824.04 10818.94 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true f85a97dc-e0c1-4b62-95b2-48635a76a174 true Evaluate Length Evaluate Length 14826 9851 144 64 14900 9883 Curve to evaluate bc4c2fd5-62b4-410b-921d-c8878ee23fb5 true Curve Curve false b13ecf53-af5d-4706-9a96-c01d1fd8e5c4 1 14828 9853 57 20 14858 9863 Length factor for curve evaluation b9a7defe-45bb-4a63-ad99-d8d3bd5a932d true Length Length false 0 14828 9873 57 20 14858 9883 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 508da502-4a0c-442b-9a9b-96bc47ec62b7 true Normalized Normalized false 0 14828 9893 57 20 14858 9903 1 1 {0} true Point at the specified length d19c05dd-c3ed-4302-9a11-7c2e48000d42 true Point Point false 0 14915 9853 53 20 14943 9863 Tangent vector at the specified length 74ad9335-188a-4a17-b0ec-855bd73b90a4 true Tangent Tangent false 0 14915 9873 53 20 14943 9883 Curve parameter at the specified length fcb135e4-3513-47b8-a678-1bca5faf48f6 true Parameter Parameter false 0 14915 9893 53 20 14943 9903 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b86a47c6-d6e0-4be7-a164-efdb7df953fe true Expression Expression 14801 9634 194 28 14901 9648 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 2b1ffdd0-8bf0-40c2-8138-4227099c3c4c true Variable O O true 8c774309-a3c0-4537-b044-d3c962ad3f9a 1 14803 9636 14 24 14811.5 9648 Result of expression 132196d4-f6f2-426c-ad82-5d5be077fb73 true Result false 0 14984 9636 9 24 14990 9648 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 344b3637-27e1-449a-9d39-59102c35d000 true Deconstruct Deconstruct 14832 9768 132 64 14879 9800 Input point 15f9fbae-9682-4a52-9d14-029998c2f56c true Point Point false d19c05dd-c3ed-4302-9a11-7c2e48000d42 1 14834 9770 30 60 14850.5 9800 Point {x} component 8c774309-a3c0-4537-b044-d3c962ad3f9a true X component X component false 0 14894 9770 68 20 14929.5 9780 Point {y} component 6f0fc5a4-0e48-443c-b0e5-e23d991367d9 true Y component Y component false 0 14894 9790 68 20 14929.5 9800 Point {z} component 6ad55e59-0e47-4916-8e60-d659c7cec473 true Z component Z component false 0 14894 9810 68 20 14929.5 9820 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2f4f9882-5af2-4380-85c1-45ca9027d1e7 true Panel false 0 132196d4-f6f2-426c-ad82-5d5be077fb73 1 Double click to edit panel content… 14823 9606 160 20 0 0 0 14823.42 9606.515 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true a401d7aa-70bb-4793-b7e7-19d100ac7774 true Expression Expression 14801 9548 194 28 14901 9562 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d3ba31e8-191d-4be9-832d-e78e90f3c447 true Variable O O true 6f0fc5a4-0e48-443c-b0e5-e23d991367d9 1 14803 9550 14 24 14811.5 9562 Result of expression 7d51fb3f-2e80-4afb-a65b-f5d0ffb5853f true Result false 0 14984 9550 9 24 14990 9562 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 30d40215-0eb8-44b6-9b46-d57410a768d6 true Panel false 0 7d51fb3f-2e80-4afb-a65b-f5d0ffb5853f 1 Double click to edit panel content… 14823 9520 160 20 0 0 0 14823.43 9520.886 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 2e6664f3-e582-4617-821a-b355f412c58c true Expression Expression 14801 9720 194 28 14901 9734 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 77907fed-61ce-4caa-8d79-e0d0953a2da7 true Variable O O true 6ad55e59-0e47-4916-8e60-d659c7cec473 1 14803 9722 14 24 14811.5 9734 Result of expression 201fbfb4-227d-41e5-a45c-775bddec7020 true Result false 0 14984 9722 9 24 14990 9734 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ffb917a4-f88a-44d8-8873-e633c1b77f79 true Panel false 0 201fbfb4-227d-41e5-a45c-775bddec7020 1 Double click to edit panel content… 14823 9692 160 20 0 0 0 14823.17 9692.726 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d7d14ac5-f97b-49bc-b1c5-f762228131a0 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 14721 14027 379 104 0 0 0 14721.82 14027.17 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b7a4989e-d29c-4763-b390-a6211a60c766 true Panel false 0 7afce703-9842-424c-827f-d839a2dfbe66 1 Double click to edit panel content… 14735 12056 337 276 0 0 0 14735.36 12056.51 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 884d7e27-d1d4-4c46-9811-b5a25cb04385 true Expression Expression 14801 12342 194 28 14901 12356 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7d963206-7a6e-4354-8fe5-e7029702e895 true Variable O O true 919d17fe-401d-4453-ae1a-4909779e11cd 1 14803 12344 14 24 14811.5 12356 Result of expression 7afce703-9842-424c-827f-d839a2dfbe66 true Result false 0 14984 12344 9 24 14990 12356 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 8f60c651-4f0f-4481-9816-919bbdee7a7a true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 14887 14456 50 24 14912.13 14468.81 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true 437d0179-cf59-4b71-b44c-2f0819520383 true Curve Graph Mapper Curve Graph Mapper 14729 12624 160 224 14797 12736 1 One or multiple graph curves to graph map values with 4daca2fd-27bb-4ac1-8aa9-e2830cec2ce8 true Curves Curves false 39788c96-aabd-4b09-9fae-b7021665100d 1 14731 12626 51 27 14758 12639.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary b43ebe47-43be-4c98-982d-3e604e305b5c true Rectangle Rectangle false c3972cbb-3a21-452a-95bc-32b3ab14e480 1 14731 12653 51 28 14758 12667.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 1680bbd0-27e6-4e4a-a308-47746113261c true Values Values false 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 1 14731 12681 51 27 14758 12694.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 327f73d2-f4ed-434b-a802-7511e568157b true X Axis X Axis true 0 14731 12708 51 28 14758 12722.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 40e391a0-fab1-4f8c-b01c-3a86edcb7331 true Y Axis Y Axis true 0 14731 12736 51 27 14758 12749.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 45c209b6-5d24-488c-86db-67e9d4aac2d8 true Flip Flip false 0 14731 12763 51 28 14758 12777.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 046456cd-7ab7-4d3f-be8b-d0558a0102bf true Snap Snap false 0 14731 12791 51 27 14758 12804.75 1 1 {0} true Size of the graph labels 4913e238-4b62-4792-8139-51e331323932 true Text Size Text Size false 0 14731 12818 51 28 14758 12832.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 51ebff00-4f28-45f1-a705-6137a5ec920e true Mapped Mapped false 0 14812 12626 75 20 14851 12636 1 The graph curves inside the boundary of the graph 8eced9e2-33a5-4caa-b2b0-6219a48e1255 true Graph Curves Graph Curves false 0 14812 12646 75 20 14851 12656 1 The points on the graph curves where the X Axis input values intersected true 4bceeb7b-575b-4ceb-8faa-34268d674409 true Graph Points Graph Points false 0 14812 12666 75 20 14851 12676 1 The lines from the X Axis input values to the graph curves true e3fc6867-8531-4d87-a97f-b4c337aaa605 true Value Lines Value Lines false 0 14812 12686 75 20 14851 12696 1 The points plotted on the X Axis which represent the input values true 08be0919-1be5-4c30-bb99-77a014722e0e true Value Points Value Points false 0 14812 12706 75 20 14851 12716 1 The lines from the graph curves to the Y Axis graph mapped values true 2be29823-8e74-47d3-9bb5-197cc0156986 true Mapped Lines Mapped Lines false 0 14812 12726 75 20 14851 12736 1 The points mapped on the Y Axis which represent the graph mapped values true 1316ccdc-8f6d-4ffc-8758-6a9f9d72df1c true Mapped Points Mapped Points false 0 14812 12746 75 20 14851 12756 The graph boundary background as a surface 66e72179-b40b-4c77-821c-7710ac3d6fed true Boundary Boundary false 0 14812 12766 75 20 14851 12776 1 The graph labels as curve outlines b979fe8b-19d4-4b4f-bbe3-487173c62ecb true Labels Labels false 0 14812 12786 75 20 14851 12796 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds 804282b1-0c62-4c5e-8432-87024a61600e true Out Of Bounds Out Of Bounds false 0 14812 12806 75 20 14851 12816 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve ec267d25-f96f-4f6f-a88d-90917360037b true Intersected Intersected false 0 14812 12826 75 20 14851 12836 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 97f21de3-e5ca-44d8-b46b-64b07047104c true End Points End Points 14850 13049 96 44 14900 13071 Curve to evaluate 1eb0f09e-6088-4881-83d8-6107ba812fd5 true Curve Curve false 39788c96-aabd-4b09-9fae-b7021665100d 1 14852 13051 33 40 14870 13071 Curve start point 996880aa-b8a3-46fc-9974-f8a44a5d969f true Start Start false 0 14915 13051 29 20 14931 13061 Curve end point b0de7bd5-364a-402f-8a3b-ba0234d43fcb true End End false 0 14915 13071 29 20 14931 13081 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 253cf695-782b-4de5-9fbb-cabcf3a053b2 true Rectangle 2Pt Rectangle 2Pt 14835 12947 126 84 14893 12989 Rectangle base plane 9bd0e2d0-a43b-4537-a6be-291a181d0d91 true Plane Plane false 0 14837 12949 41 20 14859 12959 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 0670bb77-792e-4d60-b691-7578c90235ee true Point A Point A false 996880aa-b8a3-46fc-9974-f8a44a5d969f 1 14837 12969 41 20 14859 12979 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 8bd66708-4e85-44e7-bbd4-15be8b822c63 true Point B Point B false b0de7bd5-364a-402f-8a3b-ba0234d43fcb 1 14837 12989 41 20 14859 12999 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 17fa8c6a-5c86-4f19-8a79-1a70ab690d3f true Radius Radius false 0 14837 13009 41 20 14859 13019 1 1 {0} 0 Rectangle defined by P, A and B c3972cbb-3a21-452a-95bc-32b3ab14e480 true Rectangle Rectangle false 0 14908 12949 51 40 14935 12969 Length of rectangle curve 40cbc40d-63dc-4b88-a812-c44142f56e09 true Length Length false 0 14908 12989 51 40 14935 13009 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true 97691683-4494-42b5-bac4-02ec9576c740 true GraphMapper+ GraphMapper+ false 14889 12744 126 104 14956 12796 External curve as a graph be0887a1-fa54-4d11-96aa-172cc99bfd38 true Curve Curve false 39788c96-aabd-4b09-9fae-b7021665100d 1 14891 12746 50 20 14917.5 12756 Optional Rectangle boundary. If omitted the curve's would be landed a865eb98-223f-43f3-b579-ff4f181f7bbe true Boundary Boundary true c3972cbb-3a21-452a-95bc-32b3ab14e480 1 14891 12766 50 20 14917.5 12776 1 List of input numbers a78c0fc2-9b92-46e3-9e16-f4d37af75e5d true Numbers Numbers false 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 1 14891 12786 50 20 14917.5 12796 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 0ae76062-5472-4f8b-8b7c-a1c9c58f5765 true Input Input true fe3e5fc8-0f03-445e-b5de-af144f26b7ee 1 14891 12806 50 20 14917.5 12816 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode cfa22c6c-db44-442c-b7c3-e5379bc0e946 true Output Output true fe3e5fc8-0f03-445e-b5de-af144f26b7ee 1 14891 12826 50 20 14917.5 12836 1 Output Numbers d085702b-986e-44bc-9e0a-99cda6fcffa6 true Number Number false 0 14971 12746 42 100 14993.5 12796 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true df89b0dd-b37d-4dd1-b093-cce1b1dca103 true Stream Filter Stream Filter 14864 12541 89 64 14909 12573 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 3f328968-fae5-444c-964b-029441bfd16d true Gate Gate false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 14866 12543 28 20 14881.5 12553 1 1 {0} 0 2 Input stream at index 0 bdb43fd9-b49d-4458-b940-eabd27432783 true false Stream 0 0 true 51ebff00-4f28-45f1-a705-6137a5ec920e 1 14866 12563 28 20 14881.5 12573 2 Input stream at index 1 79584586-bd5e-46c5-8b89-cd75776eedff true false Stream 1 1 true d085702b-986e-44bc-9e0a-99cda6fcffa6 1 14866 12583 28 20 14881.5 12593 2 Filtered stream 9af3e55d-34ce-45a8-a8db-6eaa07661438 true false Stream S(1) false 0 14924 12543 27 60 14939 12573 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values ff43fc76-5f3f-4cc4-84fb-7a68f99e8220 true Number Slider false 0 14833 12468 150 20 14833.79 12468.11 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 71563604-0f17-46fb-8b7b-3fdd0433bc46 true Panel false 1 1633c81a-5d0e-4716-9f3f-3bd0dba726f8 1 Double click to edit panel content… 14813 13243 185 271 0 0 0 14813.86 13243.37 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 41cbdf17-5670-4397-882a-c79b5a46405e true Bounds Bounds 14839 13188 122 28 14903 13202 1 Numbers to include in Bounds b2df8cb2-b69c-4a9b-a04a-eef046645962 true Numbers Numbers false 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 1 14841 13190 47 24 14866 13202 Numeric Domain between the lowest and highest numbers in {N} fe3e5fc8-0f03-445e-b5de-af144f26b7ee true Domain Domain false 0 14918 13190 41 24 14940 13202 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3566668c-48cb-416c-9081-8c205676cb55 true Expression Expression 14801 13602 194 28 14901 13616 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f872cac5-2d98-4d6e-a563-a311f5ea871e true Variable O O true 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 1 14803 13604 14 24 14811.5 13616 Result of expression 1633c81a-5d0e-4716-9f3f-3bd0dba726f8 true Result false 0 14984 13604 9 24 14990 13616 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 829f9269-b7d0-4fae-911e-33607d6d8974 true Expression Expression 14715 13816 367 28 14901 13830 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 4ad10f9e-ee45-4d3b-a404-4c54cf04638b true Variable O O true edbce4e2-4993-4d29-83d2-ab63c7ae5f03 1 14717 13818 14 24 14725.5 13830 Result of expression 119e2cfe-1040-4089-9143-3e060c7430c4 true Result false 0 15071 13818 9 24 15077 13830 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 13ee932b-d7c2-4da3-a838-3c1d3a1bf1d3 true Panel false 0 119e2cfe-1040-4089-9143-3e060c7430c4 1 Double click to edit panel content… 14814 13780 179 20 0 0 0 14814 13780.23 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 4a84cf0c-40ed-4abf-b243-4081436673d6 1 0153e69e-17b6-46d3-aabe-eea050991035 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 692b3785-26a1-4388-8495-da08f520e287 true Scale Scale 14821 9976 154 64 14905 10008 Base geometry 3b9531fe-61d9-4022-885c-c48905321386 true Geometry Geometry true f1dc7722-f68a-4e76-a629-9d79f7fa672e 1 14823 9978 67 20 14866 9988 Center of scaling cf749370-c402-4cc6-bf22-29582f56547d true Center Center false 0 14823 9998 67 20 14866 10008 1 1 {0} 0 0 0 Scaling factor 7d69fad2-48ca-4430-b99f-98ca97bf4399 1/X true Factor Factor false 654488ab-cbd5-4b27-abbc-fae35a1fcba2 1 14823 10018 67 20 14866 10028 1 1 {0} 0.5 Scaled geometry ec263a25-cf9a-445a-a6b3-c27727742d4b true Geometry Geometry false 0 14920 9978 53 30 14948 9993 Transformation data 9a54f3e6-3462-43c2-ac38-2776717a8d69 true Transform Transform false 0 14920 10008 53 30 14948 10023 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true bc35ec24-ae25-4161-a748-94c38b2e5b2f true Point Point false ec263a25-cf9a-445a-a6b3-c27727742d4b 1 14878 9944 50 24 14903.15 9956.765 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 1e7adb91-c83d-4184-b2d9-5c5c37b7cd2f true Mirror Mirror 14843 9336 138 44 14911 9358 Base geometry 83249ca0-d1d9-4433-9a38-059aca0579cf true Geometry Geometry true 4a84cf0c-40ed-4abf-b243-4081436673d6 1 14845 9338 51 20 14872 9348 Mirror plane 0da48253-1251-4e8c-ae88-ddbb4fb49a4f true Plane Plane false 0 14845 9358 51 20 14872 9368 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 6775e49e-78be-4bb4-9389-0460dfffb47d true Geometry Geometry false 0 14926 9338 53 20 14954 9348 Transformation data a7bf2d2e-ed7b-49b9-b0eb-c3d0dcd00376 true Transform Transform false 0 14926 9358 53 20 14954 9368 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true e464e48a-068a-4ad2-882b-5575331b82f3 true Curve Curve false 2accfed9-20fe-4fe7-a09a-0d2b73f49681 1 14885 9236 50 24 14910.4 9248.774 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 39788c96-aabd-4b09-9fae-b7021665100d true Relay false 30f1aeb6-04ea-4fe8-852c-5ed8dc024dc6 1 14880 13116 40 16 14900 13124 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true b71595bd-e6c2-48f2-9231-dee5fcbf6dd4 true Curve Curve false b8d85362-f01a-418f-bed8-eb23f9a2d815 1 14447 13512 50 24 14472.9 13524.23 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 30f1aeb6-04ea-4fe8-852c-5ed8dc024dc6 true Curve Curve false 97a11420-64a1-4355-8680-cc42c8625cb8 1 14446 13222 50 24 14471.99 13234.38 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 401d7467-8f4c-4ce8-8405-e255f5960f0c true Scale Scale 14390 13255 154 64 14474 13287 Base geometry 95c87839-9e75-4f46-b0cc-26e586907b1d true Geometry Geometry true b71595bd-e6c2-48f2-9231-dee5fcbf6dd4 1 14392 13257 67 20 14435 13267 Center of scaling 49ad0cdc-cdd2-4d4f-ac3b-e1d59da664a7 true Center Center false 0 14392 13277 67 20 14435 13287 1 1 {0} 0 0 0 Scaling factor 1ed73718-340a-426f-b207-1ad96765fbd8 2^X true Factor Factor false 75982fc8-fa2e-4674-8521-53f85dae61b7 1 14392 13297 67 20 14435 13307 1 1 {0} 1 Scaled geometry 97a11420-64a1-4355-8680-cc42c8625cb8 true Geometry Geometry false 0 14489 13257 53 30 14517 13272 Transformation data b3a60948-7fe9-4da7-8703-fb925de953e5 true Transform Transform false 0 14489 13287 53 30 14517 13302 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects b71595bd-e6c2-48f2-9231-dee5fcbf6dd4 30f1aeb6-04ea-4fe8-852c-5ed8dc024dc6 401d7467-8f4c-4ce8-8405-e255f5960f0c 27899f96-8899-44d3-a06c-50d23c4c5623 d090fbd1-93ba-4c0f-aae1-29dc34717e7f 053a3b78-8041-49d3-9e18-7c2f32b62bd8 c87da551-603b-49bc-b814-b685bcd3e395 091239b6-a510-4e47-bf40-15534370a9fc 75982fc8-fa2e-4674-8521-53f85dae61b7 e699aaab-2bc6-4d1d-8873-dd539208c621 8520bb61-2a13-4c0a-89eb-863a393c064f 11 b85811c5-8969-4501-a97d-7f43b2611be6 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 72156254-a964-41b6-b774-888d3598d1fa true Move Move 14843 9272 138 44 14911 9294 Base geometry 669ab31c-363a-4f90-ac31-c21d2c5875d4 true Geometry Geometry true 4a84cf0c-40ed-4abf-b243-4081436673d6 1 14845 9274 51 20 14872 9284 Translation vector c7efb812-a534-4c19-9c5c-22f0bb98a157 true Motion Motion false 0 14845 9294 51 20 14872 9304 1 1 {0} 17.5 0 0 Translated geometry 2accfed9-20fe-4fe7-a09a-0d2b73f49681 true Geometry Geometry false 0 14926 9274 53 20 14954 9284 Transformation data 141d7349-5e01-4523-90cb-61cfab2ace34 true Transform Transform false 0 14926 9294 53 20 14954 9304 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers d090fbd1-93ba-4c0f-aae1-29dc34717e7f true Digit Scroller false 0 12 2 0.0000000000 14344 13468 250 20 14344.72 13468.61 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 053a3b78-8041-49d3-9e18-7c2f32b62bd8 true Panel false 0 0 16.93121320041889709 14404 13347 144 20 0 0 0 14404.46 13347.09 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true c87da551-603b-49bc-b814-b685bcd3e395 true Curve Curve false 0 14446 13179 50 24 14471.99 13191.38 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 091239b6-a510-4e47-bf40-15534370a9fc true Curve Curve false 0 14450 13649 50 24 14475.49 13661.33 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a3df510c-09a6-46f2-9917-2dae06f260dc true Panel false 0 0 0.00137956207 14684 13990 439 20 0 0 0 14684.38 13990.7 255;255;255;255 false false true false false true 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true fd2ba8cc-bf96-4218-9514-39645e334859 true End Points End Points 15268 9967 96 44 15318 9989 Curve to evaluate 073ce65e-45e5-453e-a2a0-93516570e9af true Curve Curve false 7c1faeaa-a31d-42ec-9777-daaf2068bcb8 1 15270 9969 33 40 15288 9989 Curve start point eb9cded9-b336-4de5-835c-df04b5134dd9 true Start Start false 0 15333 9969 29 20 15349 9979 Curve end point 2fbdccd7-f07a-4a4b-9905-477279ebdabf true End End false 0 15333 9989 29 20 15349 9999 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true af194ecd-d002-477d-8e26-9c63739293d4 true Rectangle 2Pt Rectangle 2Pt 15253 9864 126 84 15311 9906 Rectangle base plane 786053ab-b2f4-4a89-a23c-9fcb637b0f97 true Plane Plane false 0 15255 9866 41 20 15277 9876 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. cc3b9dda-2a77-441c-916d-24bd00aa6fb3 true Point A Point A false eb9cded9-b336-4de5-835c-df04b5134dd9 1 15255 9886 41 20 15277 9896 1 1 {0} 0 0 0 Second corner point. 60c59750-e574-49d0-99ba-3300e47d596e true Point B Point B false 2fbdccd7-f07a-4a4b-9905-477279ebdabf 1 15255 9906 41 20 15277 9916 1 1 {0} 10 5 0 Rectangle corner fillet radius 4252f0f7-8ed9-4c3a-af84-3304fb628ed0 true Radius Radius false 0 15255 9926 41 20 15277 9936 1 1 {0} 0 Rectangle defined by P, A and B eaa3b8e7-ad2c-40d0-a774-c7ae529b8623 true Rectangle Rectangle false 0 15326 9866 51 40 15353 9886 Length of rectangle curve 9aa261e0-652b-4064-aa27-14bb088b0014 true Length Length false 0 15326 9906 51 40 15353 9926 e5c33a79-53d5-4f2b-9a97-d3d45c780edc Deconstuct Rectangle Retrieve the base plane and side intervals of a rectangle. true aab66b17-6468-479c-b7a0-d03e4a8780bb true Deconstuct Rectangle Deconstuct Rectangle 15245 9781 142 64 15313 9813 Rectangle to deconstruct f7502532-c2d8-4e1f-95ca-366697e5855c true Rectangle Rectangle false eaa3b8e7-ad2c-40d0-a774-c7ae529b8623 1 15247 9783 51 60 15274 9813 Base plane of rectangle bef136bc-2dfc-43b7-b789-fe56a7de3bcd true Base Plane Base Plane false 0 15328 9783 57 20 15358 9793 Size interval along base plane X axis f32c565a-b5e2-459d-a92e-cc99bfcb707f true X Interval X Interval false 0 15328 9803 57 20 15358 9813 Size interval along base plane Y axis 14ec8ccf-9794-4186-8bbe-a2724170e7ee true Y Interval Y Interval false 0 15328 9823 57 20 15358 9833 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true cbd7d4de-a164-41e0-9457-03b5798d5e2f true Deconstruct Domain Deconstruct Domain 15264 9654 104 44 15322 9676 Base domain b991163d-1716-4a2e-af37-2f84b4ebdd37 true Domain Domain false 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dkVH7IZO2BOdsQ+6oCvK0Q3dcSB64GD0RC9U4DD0xhHog77oh2NQiePRHydiAAZiEAajCmdgCM7CUJyLYRiOaozASFyEURiNMbgMNRiLcbgK43EtJuAG1OJmTMQkTMYUTMU01GE6ZmAmZmMO5uJ+zMODmI+HsQCPYSEWoR5PYTGexhI8i6V4AcvwMpbjVazAG1iJN9GAd7AK72M1PsIafIpGrMU6fI71+Aob8C2+/+L7H8zQHC3QEluiFbZBa7RBW+yAdmiPDtgVHbEbOmFPdMY+6IKuKEc3dMeB6IGD0RO9UIHD0BtHoA/6oh+OQSWOR3+ciAEYiEEYjCqcgSE4C0NxLoZhOKoxAiNxEUZhNMbgMtRgLMbhKozHtZiAG1CLmzERkzAZUzAV01CH6ZiBmZiNOZiL+zEPD2I+HsYCPIaFWIR6PIXFeBpL8CyW4gUsw8tYjlexAm9gJd5EA97BKryP1fgIa/ApGrEW6/A51uMrbMC3KBveqBmaowVaYku0wjZojTZoix3QDu3RAbuiI3ZDJ+yJztgHXdAV5eiG7jgQPXAweqIXKnAYeuMI9EFf9MMxqMTx6I8TMQADMQiDUYUzMARnYSjOxTAMRzVGYCQuwiiMxhhchhqMxThchfG4FhNwA2pxMyZiEiZjCqZiGuowHTMwE7MxB3NxP+bhQczHw1iAx7AQi1CPp7AYT2MJnsVSvIBleBnL8SpW4A2sxJtowDtYhfexGh9hDT5FI9ZiHT7HenyFDfgW3//B+z+YoTlaoCW2RCtsg9Zog7bYAe3QHh2wKzpiN3TCnuiMfdAFXVGObuiOA9EDB6MneqECh6E3jkAf9EU/HINKHI/+OBEDMBCDMBhVOANDcBaG4lwMw3BUYwRG4iKMwmiMwWWowViMw1UYj2sxATegFjdjIiZhMqZgKqahDtMxAzMxG3MwF/djHh7EfDyMBXgMC7EI9XgKi/E0luBZLMULWIaXsRyvYgXewEq8iQa8g1V4H6vxEdbgUzRiLdbhc6zHV9iAb1H2eaNmaI4WaIkt0QrboDXaoC12QDu0Rwfsio7YDZ2wJzpjH3RBV5SjG7rjQPTAweiJXqjAYeiNI9AHfdEPx6ASx6M/TsQADMQgDEYVzsAQnIWhOBfDMBzVGIGRuAijMBpjcBlqMBbjcBXG41pMwA2oxc2YiEmYjCmYimmow3TMwEzMxhzMxf2YhwcxHw9jAR7DQixCPZ7CYjyNJXgWS/ECluFlLMerWIE3sBJvogHvYBXex2p8hDX4FI1Yi3X4HOvxFTbgW5SNaNQMzdECLbElWmEbtEYbtMUOaIf26IBd0RG7oRP2RGfsgy7oinJ0Q3cciB44GD3RCxU4DL1xBPqgL/rhGFTiePTHiRiAgRiEwajCGRiCszAU52IYhqMaIzASF2EURmMMLkMNxmIcrsJ4XIsJuAG1uBkTMQmTMQVTMQ11mI4ZmInZmIO5uB/z8CDm42EswGNYiEWox1NYjKexBM9iKV7AMryM5XgVK/AGVuJNNOAdrML7WI2PsAafohFrsQ6fYz2+wgZ8i7KRjZqhOVqgJbZEK2yD1miDttgB7dAeHbArOmI3dMKe6Ix90AVdUY5u6I4D0QMHoyd6oQKHoTeOQB/0RT8cg0ocj/44EQMwEIMwGFU4A0NwFobiXAzDcFRjBEbiIozCaIzBZajBWIzDVRiPazEBN6AWN2MiJmEypmAqpqEO0zEDMzEbczAX92MeHsR8PIwFeAwLsQj1eAqL8TSW4FksxQtYhpexHK9iBd7ASryJBryDVXgfq/ER1uBTNGIt1uFzrMdX2IBvUebTqBmaowVaYku0wjZojTZoix3QDu3RAbuiI3ZDJ+yJztgHXdAV5eiG7jgQPXAweqIXKnAYeuMI9EFf9MMxqMTx6I8TMQADMQiDUYUzMARnYSjOxTAMRzVGYCQuwiiMxhhchhqMxThchfG4FhNwA2pxMyZiEiZjCqZiGuowHTMwE7MxB3NxP+bhQczHw1iAx7AQi1CPp7AYT2MJnsVSvIBleBnL8SpW4A2sxJtowDtYhfexGh9hDT5FI9ZiHT7HenyFDfgWZV80aobmaIGW2BKtsA1aow3aYge0Q3t0wK7oiN3QCXuiM/ZBF3RFObqhOw5EDxyMnuiFChyG3jgCfdAX/XAMKnE8+uNEDMBADMJgVOEMDMFZGIpzMQzDUY0RGImLMAqjMQaXoQZjMQ5XYTyuxQTcgFrcjImYhMmYgqmYhjpMxwzMxGzMwVzcj3l4EPPxMBbgMSzEItTjKSzG01iCZ7EUL2AZXsZyvIoVeAMr8SYa8A5W4X2sxkdYg0/RiLVYh8+xHl9hA75FmW+jZmiOFmiJLdEK26A12qAtdkA7tEcH7IqO2A2dsCc6Yx90QVeUoxu640D0wMHoiV6owGHojSPQB33RD8egEsejP07EAAzEIAxGFc7AEJyFoTgXwzAc1RiBkbgIozAaY3AZajAW43AVxuNaTMANqMXNmIhJmIwpmIppqMN0zMBMzMYczMX9mIcHMR8PYwEew0IsQj2ewmI8jSV4FkvxApbhZSzHq1iBN7ASb6IB72AV3sdqfIQ1+BSNWIt1+Bzr8RU24FuUjWrUDM3RAi2xJVphG7RGG7TFDmiH9uiAXdERu6ET9kRn7IMu6IpydEN3HIgeOBg90QsVOAy9cQT6oC/64RhU4nj0x4kYgIEYhMGowhkYgrMwFOdiGIajGiMwEhdhFEZjDC5DDcZiHK7CeFyLCbgBtbgZEzEJkzEFUzENdZiOGZiJ2ZiDubgf8/Ag5uNhLMBjWIhFqMdTWIynsQTPYilewDK8jOV4FSvwBlbiTTTgHazC+1iNj7AGn6IRa7EOn2M9vsIGfIsyv0bN0Bwt0BJbohW2QWu0QVvsgHZojw7YFR2xGzphT3TGPuiCrihHN3THgeiBg9ETvVCBw9AbR6AP+qIfjkEljkd/nIgBGIhBGIwqnIEhOAtDcS6GYTiqMQIjcRFGYTTG4DLUYCzG4SqMx7WYgBtQi5sxEZMwGVMwFdNQh+mYgZmYjTmYi/sxDw9iPh7GAjyGhViEejyFxXgaS/AsluIFLMPLWI5XsQJvYCXeRAPewSq8j9X4CGvwKRqxFuvwOdbjK2zAtygb3agZmqMFWmJLtMI2aI02aIsd0A7t0QG7oiN2Qyfsic7YB13QFeXohu44ED1wMHqiFypwGHrjCPRBX/TDMajE8eiPEzEAAzEIg1GFMzAEZ2EozsUwDEc1RmAkLsIojMYYXIYajMU4XIXxuBYTcANqcTMmYhImYwqmYhrqMB0zMBOzMQdzcT/m4UHMx8NYgMewEItQj6ewGE9jCZ7FUryAZXgZy/EqVuANrMSbaMA7WIX3sRofYQ0+RSPWYh0+x3p8hQ34FmVjGjVDc7RAS2yJVtgGrdEGbbED2qE9OmBXdMRu6IQ90Rn7oAu6ohzd0B0HogcORk/0QgUOQ28cgT7oi344BpU4Hv1xIgZgIAZhMKpwBobgLAzFuRiG4ajGCIzERRiF0RiDy1CDsRiHqzAe12ICbkAtbsZETMJkTMFUTEMdpmMGZmI25mAu7sc8PIj5eBgL8BgWYhHq8RQW42kswbNYihewDC9jOV7FCryBlXgTDXgHq/A+VuMjrMGnaMRarMPnWI+vsAHfomxso2ZojhZoiS3RCtugNdqgLXZAO7RHB+yKjtgNnbAnOmMfdEFXlKMbuuNA9MDB6IleqMBh6I0j0Ad90Q/HoBLHoz9OxAAMxCAMRhXOwBCchaE4F8MwHNUYgZG4CKMwGmNwGWowFuNwFcbjWkzADajFzZiISZiMKZiKaajDdMzATMzGHMzF/ZiHBzEfD2MBHsNCLEI9nsJiPI0leBZL8QKW4WUsx6tYgTewEm+iAe9gFd7HanyENfgUjViLdfgc6/EVNuBblCn/y6bWsv/r48Tv8o9HPG4i/ndPHfLbiIcGe/Gy1bsdbgrNif9/7yPq/JclBqhTh/ynN33a4Z/9zu5io9PyZx6LTpn6157/Pn+wWLN+0RG/XRWmvrh4SOmmUoVYbX4r5vwXD039dPW/2/EW3w2yljUPf27q+1oYu5TGjRQJHwd3H9DBzOs/3anHv9v3FV28W/RZ7t3K1Bd4pC+wGDJGHLh5b4Xzug9MvYXu33mVomLovQ5tjPamfq1zjkoXPV64jek7PfHNR6b+IuHf/fEX02LmrQqY18vUPzbGrjlx9UshX9GmcMHVfqZeOPTZ+/2cJIpvn/vo9V43U3ddOuXgDbfJYtRvrh/HNQw09fk7zrzf/0Axw/l2z+lPPjP1Pamf/PFiQ5DoOPI3W+0vClMfELnz/esKFsOjX+7r9Wi4qR91aGXe/vE0MaPT5DlFC0aaes2Iz96/XpXo304xdfvkUabe/5a6w7bd00X9FxbJzX4Ya+pW4zPfH4cZokd5k/bpg8ab+oNtf+RkjftKWFmUtLt42d/Ut+VZvz8+IaJJ9ne+P+RMMvWwjZ+Lw+9ChH9G4EjDz4Gm7vBx9PvjNlPcu71M26pzsKmfWr3/9+IfZonrH7WeNKdSZepXtXfeH8/ZwtXfJbHmwgxT7ze0Q+jvU0JFed3B4dPvh5j6/Q1fvD/Oc8SjJ4d7d3KabeqLFsQ03G4xVyT3HNNy1po5pq69tv/98Z8r0mI37N3WMczUux03aI1H5omWd9afa1YWbupftbZ5/76EiYXW/e3fXleb+n79sB7vZs4XU9ZZ+8+eEWHqG09HvH+/wkXHUeqFD5pEmnpB2/SjrW0XCN+BU1S9ji40dbOEsqbtHy8Qp+SVzy/GLzb13u3f9WwzXS06dX5rv/brb019Ulj79++vWmy+fG7/22+WmLrNsL5ft/f4WuTIlYlXtUtNfWaC4v37/rVo2irph2Mly039huLL4w5tI8S8Tv5Pe7f5ztSX+M95fz5EiK+PlXzXY0SsqZ87HtPM6X6EWODnGpuRsMLUf5m78f158o3YLV+ren07ztSv+O8a2/fEN2LRr7fXLxuxSpo37GDdfudIMXLW4CWxx1abes89p7a5JUYKxbxt26Z4rZE+L88ueR1+Fyk69zYPDL681tQvexrufjpvoXhmXN7v1qIEUy9f+iT+xNWF4kFbm5VuLhtMXZX+st/QYYtE14snL+XWbjT1Q9vM35+Hi0T6pyOHjbunNfVvxreJ8um0WHyWNrS5+41Npr75WIf35+di8dfBcUbnis3S9k92OTXWuFhcsHk1IPDWFlOPGt199u9TokT7iSesa58lmnqpspfVpDNRYrBN16P2LZOk7ef3/vGG27ci9Xra7Lf9tpq671d9JganfSsWfHbK/8yUZFM/MaL369stosXGX1oe3bllm6k/H9lTN3NhtBj96lXpj1dSTH3w2I8+f2iIFr4h7X/r1S3V1Nt42z8K81sivoitvNf32x2m/knrdhuNR5aIv8ouT6m+kWbqO7TN3CO7x4jJISd+/KW7TroO/PSi4sWGGHEifF/KtltSfzP5wdIlr2KE38k681a7dpn6xdnl3d7NXCo81t2w6heaLh2Hk0VnYi8tFT2bpV2wHbDb1G2HZ4ZZDFkmOk3VzLrWPMPUlb+vbbc2e5kQ+lPGNQapT1aGHW5tu1z8HZC5ZujJPdLnepvvlE3Ll4uoMWGjP8jINPVjCT1k7R8vFy+Lvwyw3Zhl6ndXLBvv11cjvvxz9+nJmmxTX/ZNtVOb6Rphfmhrfv3ivab+V6zyxcUkjXgxM8LLYlGOqa/Zefi3TaUaEWqxULM1ep+ptz9snzrB7DtRnG1I+nllrqk/OhgT3t7jO7FkyvMd27b+YOp/fFepuDb/O3HL+cWP7nn7TX14m8EfbNv9nXjdwelZ1sUDpl477Pt7gde/E4c/uOVhviTP1Ie2fHrEoW2sSOzbdN+hdj+a+svR3mtvescKz4tdK2v3ST30xdYgXXSsGBc1PvD0Fwel8/NZteuMvFjxeEfRT4MfS93QZVATp/uxYln+ikWB2p+kz+/c2N/vdV4hTvY7JZd/mm/q3ifO7skat0JsiUpRn74n9fOv20bNWb1CPJX1K+6VdMjUI6zG+/Y9sUL8/HHK0WDfw6b+Q7nW4UntCvHnXLNbC82OmHrAp6VP9zvHiRu2q04tLpL6xa7mP6uD48TrhM9rw5cVSNe3UI8tbolxotPH0xtmDjsqfd5fhc6s+y1ORE14GT675THpe+rw94MOv4sTxWNcK5ZelXqnZUUtogasFNe+djz9U+ZxU1/xyd0/Pp23UuS1MJ7+YEmhqXc50nT/a91KMWbaidDsCSdMvenDDzUnrq4Um49kfxojLzL1/OxB45dbrRJdJ1w+s63dSVNvdsXXaeiwVWJweOCuVi+k3ttv8nOzqFVivE7eJ1ytl64nj2eUFP+wSvy2bMWgdQ+kvkM7O2XV3VXi4MND4o7qZ1Pv0HF2mE+n1aL0n2troiqlXhQ43avl2NUi8NDLoAmBp6TXO3CidWncatHUo68s6obU98Z9fmf9sdWiZG3MscdBv0j3CV0/zh9rXC3qjry5/NNtqf/0p82qdj3jhexMkfZKaLH0vbzNOOn3KfEivvDi4Im1Uh/Up6T395vixcAUhd1ny36Vrieztr2eeCZeZAV/pF5jddrUp3UPOW/3Jl581Sx2zYgdUo8e5LzzhtsaUbQqYt9i+RlTb7L4njo1dI04fc2sS7fTUn94aPuw4LQ1wv3RsB6jgktMfeoZX1vH8jXCN3dYq/p6qZ9fWnvvdou14pylTQfXpN9M/UnO5iO7xVpx5b4+oXbAWVM/8GHfNTMXrhW3ek877Fsh9eG5xwN77VsrVv/YcP2zpeek+wRHb5eHhrUiZfJer3NOpab+8xfFb3I6rBN/vIzs+/aC1N1ffHYxzG+dsJi14MH1JedNPeafHJ1r7DqRMz/76Fd9L5j6Y+t2EcYj60T7yo8f6v6Uuqx9+PCDT9aJ3lHtTyRtvihdT0p/to3sniA8Yt29evQok96XJlb3B0xOEDM+7HJEFSv1NjF+R15sSBDu6tIw2W2p65qtiD9anCAejjlr1nzoJen+eeaByUteJYhRW9IcFqdLffb0S32GyNeLDJtLUyc0uyy9j/rq129nrhc/7Xw4J22O1O99/k+pfvt6kdZSXRV4UequR57viL20XtxyrFGvG/i7qbe6VhPu3XyDGPjDvYNuO6V+a/Y1YTFkg9i1uGr0hBblpv5h38PWJREbxLDP1feeRUo97Hb87TXZG8TkCusure5IPcZ37MFRNzeI/sbRyVnKK6bet0eLFa1tN4rWXxx4dUYv9fkfH55w8YuN4qPUwgfhblel63bPiU6blm8UETvfmO3cI/Vnv1bXjT+0UVxv9upZoP016Xv5t/m/2j7eKO4u+3T8Hq3UTy+s9Z1nrRWlh4ef11hWmPrO2p6f+PXViqkTdebG76S+YZB/534jtMJodm37Pw1Sn+oY3bTNdK2YELxgYOK31019fHzy46dLtCLX4q/FF15IfZjvgd8vJmlFXNLdplmLb5j6akXR8bwftWJDxoWlji+l/tr7192bSrVC/8una4bE/GHq5v2L10U80IqOK3J/kzWpNPWVfx77ZoLZJpE6f/+dsNVSr+62d4p7l03iy5ZnFse1/dPUO17fMLy9xybRsXKpi+82qWuuzev7fPwmsWl6YIbe6aZ0Pv8jPrg2f5Po2b4q9tGPUne1bPX6SPwmYQhLn3dWccvUz94vvZO8e5NQ3nAw++qS1EfPWnn226JNYuTMJ5F/9DeYetoU94OB1zcJy9/7f1W1ROpdt1/f9lndJjE2dOeO86el/lN95HcObTeLXeUvFybb3Db1vJEWc9703iza/2ruNWKa1J8Frlfe9N4svKtWjKzIlfpx85YeJ6dtFn43BleNfS31Ox1iPtRFbxaFfk9m7ve9Y+rbZty1+O77zSL2ZnDXf1KkrisQT6fnbRZ/fzxhWo8aqX/4UHtl2LnNIv3m+miF111TP/rL1cLu9zeLpSsv/zxyk9RXd2yXYd5ki9hSWLXK857UbX8S6+513iJcO8V3dhxcJZ2HITMiTg/cIg7001z6e6PUr9RHTc4at0VsXqN9VXBf6tOHrFDEh20RyqMx1Wqve6bu/1bTa87qLWLWCMsnDlulHtE8oo1v+hYx6MjzyUVGqdd0n/hPnxNbxAcbW303cdR9U5/XtV9lq4otosWYlvn3M6X+Wv/8VE3tFmH+9WFvddMH0v3GlYN7z7dOFGlf/x5Xp5L6we7TtfudE0WX006nI09KvfPCJos3Dk8UYbfnB9Z2rTb1tpu2TFUHJ4o3bhFbwpdL/Wevjt7jvk0Uv/f859Qjg9SLvBP6uCUmCv8exwaHDn9o6mZzaq0/OJAoZmyJ86vOlHq9+osXf/+WKHpe7ugb1uqR9P370aY/y6sSRVcxaOU/aqmrvX775dC7RCFzzxy78prUT677a2+S/ffioIXzawfx2NQ/L22hXTzgezGgheb6iSypzzjVblGA8nuxY83XnnPa1Ujv78ctgj6d9714eenkQscYqf965dlQ+1Xfi/HOrteqHkj9UOSvvV7rvhfrLyw/eMT/ianHl65pXXn8ezHVLGpyyimpr0v1/Lvw6vfC+831Lhv6PzX1ybv/rNjx1/didl3ouMRdUn+TFla0zCpJbLOr/ny/zTPp/tnv4e5pvZLEkCT70X/GSX37nAlrFMOShPv3vxR0q5d6+I854R9NTRKzHSY8EQON0vt16+kEs6gkce/iMLPXaqmrDnz46d3NSaJ9hI338FypR97w7Fr8Q5JIWr97Sqdqqa+0H9F0T0mSyMy59tdSp79MfZbzZ9Ur7yYJy7HaA19Pl/qows7nZ71NElZv9w/5J03qR9c/+HFkp60i2qP95y3+lHrihLQkZ/etQhuTEb6/c62ptygWS1qM3SrqP/f66l6g1NMSz017NGerONy6+Nz+FKm7Rw/1Phe3Vbj7dhzX6g+pP3Xe5Zy7c6vosqBT6uvOf0ufX/9HVuuPbRULnuz7UjNV6m4HHP6af2WrmPJJXs+UnVLPfDzoyhjjVuGX27zgiztSdz7+2dGPWyWLS/otBzf2qJM+1xd67bDumSx0VwecDJsj9VVXXmv+UiSLJcqLq27/IPXS5UdCLk9JFkM2DD34tFbqj5YE+vy0KFkU1Mx/lOjxj/T8xVV9Ezcli59/HVBRvkzq+Y5ftl2Ymyxs1NFOB36Ves/uubVfnkkW40SXKKfWz029ts/DKwPvJIuXK94tGfCl1AfebXW045tkMXmd2fU7O6Q+5vkHqfUdt4nlO5t79Hsg9Tutmyy/7rZNeDU3Dm3f/4V0f3X58vRjo7eJdhY7dm5fIvWVT+K9t4duEw6Vz17qT0tdNOveK2bFNtHp9G8vV9rUm/oFva7F1LRtIvhNK5/HwVKXn25SM+ToNnHkyNb1f+2Tevaxzy90Ld8mInqN+WbbS6kfHRaW9+7pNjF2iXX63ZEvTb2X2cLNhhYpIuzmyVNlSVJ/uX1a5M9OKWJI1JBl0+9Lff7BvhPTRYpYGzZ3adLAV6Zu9aBi0IrAFDH5j15z1KulvunGrE4hC1PEfcPER88qpP7a5corb22K2Pp9xd72fV9L9xVLu1f22JcijK03KO8slXrS3HEnLE6niPjAgNUTL0n96abgtAeGFPF6td2LiB4N0n2m1nd5yesUcTvtgI9HtNQHmrVX7e2wXfy6+61T1kWp74o9oVjbf7tovvW+u77HG1P3zh3+0Ty/7eJRpM9HcTFSv2uX1cRv9nbxzYBmW/7+XerLpj+47RK7XcwufePW1uWtdF/a1fxU6x3bxcDeH+Rci5N6zv2GXU+PbBcNA3vuGn1T6kPGXfru4uXtQlXZ8eevPd6Zetnfmul5T7aLna9LDnpvkbrqq1ZDN1mmitAI+w/PPJV6d3e1Y0T3VGFMWHQtpofM9H+Sb1/ufzfeK1V439WufDpB6n99fubmJ5NThWOG39OCWKmP21dwwjYyVVgPsJ9V+aPUVx6LTf1nw/vtvJwzdPJtqWc17bHk6t5UoRmXW/5xO+n/M2/b75x8pDhVdEwdF6kaKvVmGuOg5FupwuB+NvLx11KfdNGuw7evUsVnC1f1uZQudb22Y93k9jvE25+eP2xXLnU3Zc2lwfId4uvP1zXf38zM1H9NTjrQedQOMWZJ/rU9g6R+uq79+oaZO0Ruxp39L+dIffuTOXP/1OwQzdqsur03VepXW20eWbR9h+jdpG3x4YtS73NtvdPOwzuE+69PchybNjX16KtBTTSXdght2uZHDwZKvXjj2z9VNTvE7Qvzr1nNk7pzfMSxoc3TRPPvn/26cafUnwwvSOrWLU3Y9Itv+XW51JePuBjRdEia8CzLepnXwtzUv7I5MqZqUpq4m1/0YKyQ+pDeC/r8GpEmotsM6T1modQNrV40y1yfJja13mKTu0/qvQaPub0qO00cuiWvn3NH6h9+Elk4+5c08d2BVa7xnZqZ+v3I0K0+N9PE6gzzls3HSf1YTJ+I3i/TxKi79rfux0u97vRRv5a2O4XX+k/NnH+WeouL7Xs9dt0pftKXnTn7Uupr23o1Kf1ip6hIVsZddLMwdTsztz9yQ3a+v7/tnTAwTOqLP/wrf/3ynUKWePYTWabUl96K3hCeslNM/TPjootB6vZHL8wee2inaGbnnF9o39zUx3arUcjLdoqXY4oH5H0p9YHay53aPd4pytc8zG6+SerfHVe8rDfTiT9Lm8/4pVTqL5xiZs6x1on7dhsP3bW0NPXsIdsvXe+iE6p5z16Efi5136IdQ3z76oRbUfLSCbFSt522Yu8xD50obf46ZfdJqV+6Nqp93xE60e6zVRmT30j9zK3nmu0TdGLUyJynCz9rYepl/eJqWk3XCVe7a+frv5W6d9Tfk2LCdUL/fUzSnQKpN13o/UvNEp2YntFyxyf1Uv/2+iLXqWt04pDTXwNqBrU09U2Ba7edT9KJ5L93HrKKkvqp3GXmXhk60e/RKvX3BVJvEjdhwf4fdeKHP9sfX/VS6pe2WN7oelInVu8sfGgY3MrUP964w3tjqU54vHmkzIiReoazzYF313XiS73155eKpD7YZlYn9QOdWLh/h31oEytTX/YmeYWhTid6r2nSc4631DXbc54ozXYJsza5x8tXS/1yasqkn9vuEnOfW8n3nZN6/I+hP/fvskscerHlWk3b1qb+2Rrbvul9dol2v+RZpPhLvcnvOxJtPHaJsGa/t/tpm9Qjhpi/jf18l4ibPXe0xy2pZy8aOfvv8bvEL+vvt+7To430uXaZXfaVapcYaXckK36e1H1bffVp+fxdoiJ91AL/g1IP1Q9O916yS1wu/uDo+pdS3/viSctD8buEQ7vl192HtjX1fUEx3/RI2iXkHd44+a6R+rKUe398v3uX+Gfqm2fnL0k9f0pvb4sfd4n7hxePVLW2NnWV78jcRUW7xJCvPurbzk3qLayF7YNzu0SbiE/Ov5wo9RNfWsdMur5LfLDz3iT7GKnLio/dPXN/l8javeCfiF1Sv2TmNcqjbpc4PbBFWdMzUs87uu1gdpN0IWv9qN35Gqlv3Xi+U6e26SK64ot7F2zamfrffa5r1jiki4c+qsgWn0o9v3/hg5e900V8q5kPY6ZJfdgXi8bMHZQubM5tDO+9SuoxHZofuuGdLn792M617Q9SLxwS3nnU+HQx7taA8a7lUr86Y993x6elixsxjs1Wv5b6B72LHvSdny6eZbf9ulN3G+n680nm6NTo9/vT5DP9PV+pR3X/6ier+HTR8NENh5oIqW/aXme39Pt08Tbd6UeX7VLXeQYue5KeLjbZj8/K+kXqfllb7k7Ne/+6HFJ6T62RetYSnc+FE+nC3sN9xuj2H5i652TND17n3m+nYdKSKC+pW95yszlQkS621XnuvDlb6vH7jiz68P77/c+2r1++Serbg9r8sfHvdPFkh3Ne0HGp79k4UMia7BYxk9L+irwn9YW3P96tbrNbfPDlT/dL2tpK9y1PX1rc7rxb5H6w82jAYKkbxyXOHdd7t1C13pboNFPq0Vlvz/88cLfwP1qxy0Ur9Y1rPPq7ee8WJ9d93+rr41IfvHloYvq43eLWPxYNf92X+uvATi9spu0WtTNDdhywaS9d92JOTl4Rtlt8PPJepxwvqddu/KTw7293i1+a/Lz99lypB7ks7Bqyerc488p19MStUvd8uEJTnrhbDEmcFWBZLPWRU6fd8U7fLZr12/nghVHqaV2bex868H4/Ha179OjawdTPn4re0+PEbjGxxDhYO0rqF24etUg6u1uURkVN+PRbqbdrXjzbomK3mBN3M9kxS+pzLyaXLLq3WzQfHDhgxBWpf3huUO8HtbvFuHvdJuQ07WjqdxN0aybJMkTChQUOo92kXpZ5+eGZ1hlCPzjquOt0qS/MOf+FR+cMsX7eN4FjtVI/47xpb7ZzhnDbmdz9wEmpf3TQoUWngRki3vrDoWOeSX3y1QWha4ZniHfPh/zp8qGdqac6rT3zUpkh1qxy6TZqrNQT+s7rOTc4Q6Q++2jw3uVSH/itzcob8zKEy7Qvx47Mk7rl9uV3fb/NENlv36zrcVvqd7scHHp8VYa4+/d4e2+bTtLzN+zd2TcxQ3Sdvs5p93CpOy2e+Wb7rgzxIuRm+bCFUvcJuRdodSBDzLFf8WX3LKnX3XIuiCnMEAXJeWXe16XePPLj9k9+yxDL/96hzmplb+qle+u/nnotQ2gHx04b5SX1Zy3iLpyvyhBNoxPPyL+W+mqHS328ajNEl2Otfp+UIfVWc26t2v8uQ0x61zVXf03qQYv23+naeo/w9W22dF6rzqZedHaI10b7PeLI1n8WBAipX3mcsO1drz1CZeh5YPU3Uj8QvL1uwYA94tNOZSEvs6R+Mit0rGHYHuHwifPxHyqlfs63bq9SuUc0vP8zJaOdg6l3ODfE/Oepe0T+UX3tzRFS77vPO7j/vD3Cvi7cOShG6i3mWxbsitojHuVkZTkclLrl5vh2Nqv2iN+O7UpxrJa6IaV4buyWPaJHw5a+oV27mPqPzQt/qdXtEcrhh+L+9pf680nhDl/t3yMmqzzLTq2T+pqWf0T+fnyP6PyhyuPqKanv3dHk/PDf9og+Iyc96PdK6k823HbKv7pHFG8PaH62f1dTHz8lOsapao+48UfKqZw5Uu+3/NzviX/tEU1O+Q8v2yX1TxaV92n2bo8INj/x0+AbUv/2eOJ3C60yxSH/ll6PbD40dfVvrSrudcoUfqpvrG6NkvqdTp+6TuyVKR5edP2i00qpv+3hEHfaPVNUjPym67YiqQ+flX994LBMUTx78eHgeqmnjG/ycdbYTDHvXkGXAZ0cTX3QDLO4jlMzxc8rSh9PHSj1o62OVKyemyl+v7bpxt4JUm/9a9d+9Yszhbuz0zu7r6Ue1/TT70JXZorOR9PC922Q+onPml2p2JwpVKUOXtNzpX78dqzzF7pMEbHraOzgs1K/GvrjkqM/ZIrghdpxg6qlfnK49kLv45miMLbw5CSLj6TjWdX1o5SSTFHQZPKd7U5SX1AY9E3Lq5nC3Pm7C02HS3205xe/Rt/NFDeclds2Tpd67/K7HR4bM8Vz99uThEbqs/7uGzrlbaZIiB774Qc7pf6z5UdHz7XKEn49Dpu3KpL6qNhTLTw7ZYmgYHmXXn9Kffb5toG5PbPEKL/rS2c3SP3KRMscB/csYf9B6WelnbtJ99tr971MGJolepV3D/vyM6kPKq/3eTMmS4j9r7s3nSJ1v7RnW+cHZYmYE+FRV6Klfm/8xvt/zskS0zsnLytNkXr4lGvuYxZniWM3N4+qPib1BMczsUVxWSKjc3Sd8x//n+23DC5z3Zwl1t8N3bDhtdTfLt/eZefOLNH982jXTg7dTV1ZvWxu2x+yxJd+vz0s8ZT6oL3Njyw/liUmmH19ZcdUqTf0GtDUeCZLrJifYJG8TOqDf7MYq7qSJZZuGrj5yE6p3zAuSSm7kyVaLFi7vkEv9fZmifcUxvfH03x369l3pL542hj5j2+yxJlR23u9aOpk6pfn5kR/1CpbDPXaYMztIfVxK7OKN9lli5tlSUvjR0o9pO3nbcx6Zgvz5xfvrpkj9UuhsZMiPskW8h3+Hj+uk/ouY7DujiJb3DsotG9/kPqgZjeqx4/JFrmOubKIMqkPMP9b/suUbOF4Pj+t1d9S3+y7N+qTOdni9PbI5efa95Duo9wbTu5elC16zLco+NFD6vldHlvYxmWLE11XTi2aIvXrqoWj4zZli2drW638a5nUuwWkbKlLyxa2a/KHj0qXel3Q5Oshudki+EnK/nO/St2y5MeuV45miwfx129EPJR68F/pX31+Jluk9F73p6J1T+n1yl2yD5W/P84pZ88N6C/1Xn/41fS4ky3mpR88Nu5LqTfzMZcnPcsWGovgk4nfSv2vc+O+sXiTLXasfvD07Q6pjzvufnhRy73iwN05wdpTUr82J7f+fse9YsyVd92+eCD1iD4Fgyf12Cuuf1A8rrdVL1OfOXZSzBm3vcJvwqV38v5S79tnzYlBir1imvewYaqJUk9oNfpt1ui9IjSxv+uRJVLfMjzdy27KXhH05GjFgF1ST/oofll86F5x8Z9/Jlaelrpj3ZsT9Qv3iodKWVFOjdTbt2j6JnTFXhGc9ne3XTbOpr7qh6TPrmv3ikXRj1JOekj9z34F336RtlfULn032GKa1A9fmXXk6L69orPXaLuFK6X+z7Nddb2P7hU/+T0daZUr9eLTof1TTu8VNYPe3Dx3Werrdh+b37J8r5i/NrH2p5dSr72QtDf69l7hfe7C1mLH3tJ9mrah6tHTveLW0tN334yU+lr54w+nNOwVrbslPZ62QOoT6qYHnmuRI158ElD8KEnqDz5SJX7WMUfYufRakVYk9X5vq87vc8oRbsu7DFlyX+rjzz+zcHDLEZPSvmz+XZs+0v3S5eUiQeSIa88fPj8wUOrtxiUubvDLEUNq6xwtp0l9wFqXA2GBOWL4c23KmtVS9z458n7l7BxRHVIR5Z4n9R3yew6jF+aIT1PvlVlel/qfXcwnnIjNEcufXz5iYdZXuo79uju+nzZHWJ89Nsy1r9R3zfrlxI4dOWLmnCOrlvtLfcWQGbWt9+WItt3vJr9aKnXL1ct7LivIEUlDAzbszJL682X2gU9/zRGprfrHhF+S+nCV2/rg33PEyV9WL579WuquM0+fvGDIEZuzF32/toeLqXc5c+Uvr6c5Ir2u4+NrY6VeUjSt+4HXOWLWzZXrx0ZL3TLuK/8PW+wT3sk3Nv2VIfXnow1xGzvsE0uU8tZFF6X+cPyV/Hfd94m+/XfZHnol9bklQ6sW9N8nfFUjT1zt0c/UP73r9IHBa5/Y+c7z/zBdn+Fcf1EAwDMiKVJIhOzICKGIQ0mUQoRIZabIlswyi6wIGYlC9t7zt0gKKSmZlYhIRnb5e9X5v/089znfe+8599z73Sugh673wVdNVzsPKsRTNJJ80Ic+nHYkXMiD/k239Y5mo6vvjkw5eDUPBB+s6zF0o3O+OP4yzS0PdH4qmFFtksQ+xmH/e0dAHnQKHrsnKI4ep0jH5x+VBy+PHv7uYox+04xFeyYlDxaOHIqZDEJXKQq/aZ6bB9VcuskPStCjzTzSuqrygGYgk8NiEF0t7s1LteY8MHLT4b3EKPXPjQISZkvebnz3nQ0l+DA6je4rTv7hPBj9vpm71xq9br/dsZipPKhP0VAxjkVnlb95jXo1D7reHVOmIaL3p/2IctmSDzsdWKU+/fzf+AdtFV/Y8sHp2fWHDkwH//kPiZ195wTywSepkzdECL3hMXGddDAfDm/WoJQdReem+yggq5IPl9pMwhf10ZvvG5x8djoftDqSAvTs0DPPyV/fdSEf1mdjSogB6J98fcIDbfKBm+ONgGYSeo6UcOGcaz6Mcg59HSlBjw6V6bT0zwfpHu21hJfoB/PTpt9F5oMDf5aH+Wf0i1WOzOop+ZD63uOK2jI6a1uqZHlOPpwjnyUqsEj/81BqiTOCVfmQWV+VoS6Kvtlvj91DSj5ANLDZqqHvuWB5j/ZtPmhudeV+egHdqogh020oH+znB1/MOqO3JzMSRybzoYttB69JGPqpw7b9Biv5wCsbK/HxKfrOVJ5FCn0B3GD6/ce+Dv3mNwkWObYCOHWVlMTRjb4gFCeWyV8AZSt3mfom0RVv6h9nO1gALIFvLcs3y2D8yaumwcoFcLhaMjODB907pcvl96kCuKQjOpCngB6VHBVqbVwAe1fPsrfpoiespT15b10AVnbipuvX0One0laccC2AyDNnK08HottK1L6suFMAitpqMkUp6P68hAGhyAK4xhzTK1qJLl7NNhOXXAAXj7ZX1nWiO9LV0tDlFECu++1uq3F0D458tpuVBSBvKqcsRCP7zyNXJ4RHyQXAHua9urYX/UC9u4JhVwGUpAzumZRHH7U+fbJlsAAyxH48ndVFd6exM5SfLIDmVon0HXbodanvrLKWC4CbQZZXIxi9VDXIhZ2+ECa87orEPkH3m/G+HcJaCI9yqyiLNejW1TX3F/gKoYZPl8qtG701+WiCjVQhMFwdGKOfRpdOp3nac7QQzP/+CChjOIT3Rfv2fI1ThdBou2XgpiD6CwGTikqjQpAXbNp0DtCzn481CFsXws+8lCV1E/Rhk4rmeJdCOHBLolPHHT1dhfSa7s5GnL9/Il2i0cX0t7+7GVEIV4uTjhXkoX9KiPs4mlQIPH+j5tdb0BUZTQYMszfmqX+96PoX9IHcC59bKgohnbPSd+oPeohr7Ig8uRDEatav3dsjh/eXOd1Y1ptCyIp556ckh27iUPKdfbAQLOgbW+j00O/FxY6H/CiEULfT2hP26KTOvPGFpULQOLSFc/Qeujbb8ncbuiJ49PiO4krG/+KYeY317CqCG7Rq1cJE9JlUyW8afEUQWfP+sd0AOncn65dKySJI2frqd+syesOXA4PCR4tg97GCNhV2+X+e1O7SG69VBFrPt4i0y6DHBHx/R2dUBGf9rrG56aBnzN1vv2lVBMxbLqbJ2qN/ZrnYMupcBAoB9m8ZQ9Ed2o0aDW8XgbyISOVaJvoDNr+KlvAiOCLJYUhHRn/2sT1PPqkIhF+9qt8/jL6NViM96/nGuiQ75i3/oJsEfYtjryiCkeC8LdWcCvh+PpEXGkIqgvWVaWqhw+i7pON9FjqLILxc5GfuefRZ6UwHm4Ei6H0/2K3liv7k4IfLPRNF8NIvnUj1AH2d9YCuxlIRjL5abXxbiL79aydvH3UxnOnx/FD/Gn0TG+fuWIZiyCl7zkaYQP8VM7f99I5iOH6TJah/y2F8h3eY0tLsLoYB8eMSO0XQaxXPrdRyF8PrL61c5ifQb5zsmXYRLIbRJ5ImLy3Rm63HRsQOFIOH7aa5UwHom+mCe79Ib8xTue3XtzT0+YTC9qTDxfCci+PSxo8EvtvDLInnoBhk/rifsB1ELzjzrHyrRjEwf3Qs0fmDXnr2xnOSdjE0pj7I19175J/3rhISvfSLQUT1qpqdEnoc6fF9GZNiiHru4/XEBL2PmcZ34koxJNabWUx5oovq/rrx9GoxyFvG05xPRA+etrpk4lAMRd6ltj3V6F4Xrpzd6V4MCV+UU5w/onMuf1Zu8y6GNidKtvAS+p/D4+IBAcVwdbXr0e/div9cNdCdSzF0Y7z+7M1BBfQwtRCG2ahiuH+y5MxnI3SaAc7FnPhi8ElLEvnrgW7cKDNi/rgY4gUVmeUeoZPOtL/Zk1EMW+O5mEOq0Rdnx+u7cotBsKxNeuYj+iG2e9mhJcVgIf/O/+YyujrX81i16mIw7CEwsHMq/XNLOw2/5cZiyD3B292piG5jZ21b0lwMwrJeP56ZosffoTl37XUxPNYyM4nxQW9n3qfE964YfkoZHEh+jH7Jt1agt7cYNoVO2DY2ogtKvGV8MFwMVXN53GtD6P4BNnOaY8WwtlXQwIDq6D8/N3zz06afxVBsPcj+gh99Uw41sXq+GJLibZwM1NHtVBieO60WQ4C4pt2aNTotdVj4fuoS2FHKtLPpLnqJQZDz8JYSeFtwwjElB/1b/OL5R8wlcOjprYiHr9DD9389osteAuHbZT2eT6FzXdPg3sJdAlPXNim8Z1b+54FV+zYRBEpAW8L+A7cMuqKL8xcPsRJwfkll6W+ALr+oQJGSLoH3edoj6zfRJ5+5Zo4plMBL5Y/WiYnoxu8FQp6olIDuiNTsmXr06bGTNkYnSuDApqFY7iH0HIWhE8zaJdA25XR+C7UK9jHeccEX50rg7GZnNSYh9J+rVjS3L5RAQNJ1CylN9Amhc5/lr2zMc+07yc4OfXKxqPGnTQkYe3jcIEeiO7/yTc66UQL5uun28qXotsu1HpfcSoD91Uwb5T267icbfXbvEjATnI9xWEZnb7kj2eFfAkNxsp2y3PDPZVi3MITcK4FbBkphrGrocVxrX5SjSiAoOr5jhzV6kczF+t9xJTDo/iZrfyi6U5FIXEFKCfQdcOO+WIB+bMzshvWzElB4v005rwt9l9Rfde7cEuCOFtrBvoCu3ke/931xCbDWZeie3a76z4ngNRteVQKCHf6+T3jRx4sMWtUbS8AqdDr2rzR6ol/84zXKxr65yCbaqaMf/KviUv6qBG5uj40ZNUQPvnNGw/5tCXz9pB/seO1/8Q2JewR7S6D+Qt1NOh902beJk31DJWBNx2yfF4mec6ynMXZ0Y59NHl6/lI7OteQefXqqBDo6oj14y9HJarfMaeZLwPaD1qOfLejXHfql61ZKwHuM9u2rXnSN1+lUrlSlYOtIL1Y1ib4t58UbsS2lwDsQn1m8jv5D78yTL0ylwJ+ypFW9U+2fx+6SuZHEVgrubC57O4TQhRTdFc/tLYWyIk3+2cPoqizs9FsFSmGsg3hFUBt908iud0TRUqjt5h+wuoy+sHYj1fNgKSjuK0kpc0GXyRK4Jq1QCjRMpRk7QtDlRQ/JjiuXgtDS9RXvRPTNnalraeqlcECe79nvfHT2YYtm49OlwMLNmeFLQDfNuB2x41wpnFhPombtRlexnDdoNS6FHPFxcvUY+jNLAtedy6UQMqs1ZbeKPvzjy2cFm1IIT6YOkmA+9s871EyfT9uXwpCjccQffvSy3P32z11LYb48mqlfHt3Q7tTBy16lUFTwa9vLU+hTL5rm2P1L4UxSQwTlEvoB2nuVHXdLwab6aHyHC7q85dNbIZGl8P1Y2YGxEPRSESZFlbhS4HKx0WdK/t98YttWfieXQoJ38k71InTi957agqelcCwmweEeGf37VRkv65xS0Bt9Yt/3Af2RXv9h7uJSUM9cZlGeRG/59m6hu7IUepfHLQs2Hf/n7yw5ysMbSmHftsqr4mzoSVtznNQppXCR6hl/rSi6PUew+FpbKexe+51oqILO/CpvrKxrI797599S6aNXXd771O7jxvz9vrytu4rOuavHVGCoFAaO0j0J8kE/z/eRte9bKSg7Zhy9+ACdtoWvPWZyI1+i1CXHstAlj5YGnZorhXo/K6rDdegmjfeUqFdKwdNnh+zRN+iuIRkzNZvKQEHq9Gmdb+jf22mfO9OXAWfaBR3nFfTw9mxTUaYy8Hx/R/0pszrmqyGK+TNrGVS93XzwiyD63p5q0iOuMjB+JLFbWhF96YyAuy5/GcwKKK9H6qDPmnYIbxEtAzknz6lVK3Q++ZoPTVJlMOAmMubhhc608+tdD/kyKBMOn6GORq8RPK0gpVwGER6TLI8z0SOf/vo2erwMjhtGnNGoQ3dtehubeqoMagvLcv6+QS8v/KVqqFcGr69lHGgZRd/zTGtqu3EZmN7I+Jiyhv6+o/9R86UyUElZqgjYeeKf37fMOe5rXQbqPd9aPfajG8cUTh2yLwPppWJ2HxX0+vs/4iddyqChLzUjygC95PZlyPAsg2CjeY/S6+hpjxnGTO+UARcsxI3cQTdlHY/YdbcM5izGaYQT0KV2/pF9FVEG1tE7X9wsQO+kqPcGPCyD/AeVIz1kdPMLTb6KyWUwLMFpofEJ3WfNjm82fSP+/gD15l/ofJ+0KDnZZVByXPaBPr0GnjtuYxvzojKoVHI5M8ONfmo2jn5PZRk4vwr0Sz2E/tefOvtNfRnw5OaLmp5GT11IOXmPXAbk+9IGIhboFzytRqGtDGT4jGhoPNFbZYyDFt+UweJui6M/o9B/nfLgK/pQBracCbTjWeia44QGm8EyiOpUNJ9rQC89dOgCz7cyONL3wGj7e3Q//Tdz73+UwejA8KT8JLqV3cOIiNkyILnZCzvRnMT7K/228InlMqg44slQw4meyPmgcW29DLTIp5NZZNB9Vl6cL6crh6qM/Z89tdBzrAQm7baXQ/8Ng+GZK+hL3k/9BVjLQTFvV6rnLfQiC3X2Ps5yGPuWy8sSje6ruCU3hq8cMp9dul79HN1PcOroqf3lQLZxDXRsQj+qNttBJVUOAoUSTvIf0DOL2a/UyJXD8d9dctun0XfHXPjldLQcBMszeufoNDFftLW39x8vhwuXJ65M8KCnCikwDWuVw/zVsTe/5NF9d71JTtAthxilYUl6HXTqH4H7dYzK4Yz6njsSV9EftuqV010qh7rvPS8tb6OztR6GRqtyGL9vxpKbgE6gPfzS3a4cLkfMmG4qRj+WePachEs57ND6UGjTil76xPvTyK1yuLpbn3lgGD1MutE85XY5SJ3JCbBcRi+5yvZdP6Qc0pR4mFZYtP65m8mdG4wR5WBycKEyTQw9nO/vDCm2HPTd3QOMjqOzdke4eyWVw6jusDvPRfS4e5JL0unl0LzZO/63G/qywZDn+PNyWHgbOt4fgR5/9slKWmE5dM/punVnoYuH3fAyriiHzWmsR/ub0Pu5tJaZ68vBk3GPxvxH9IO7pT1ekMrByeZpwt5ZdK4owXm/l+VgPjAvd57xFJ67OH4n+TflwJhoIJwqiO6iLPZjqqccrjdudlhURm+KV7TOHCiHHAftneZG6Dal5wYvjpSD/At7jj4ndIM0Z0PWHxv1/Dk32DoMfcAxvv3VTDk0vDt1eVMGer0U4XjgUjk4FEXn5jWg7/o5Va24Xg6vAgj2Vz+gX67mkZjdXAE7jXnyZGfQHyTrpeVsq4AHcj+v72A8jffas+Cd5rsqgMLtVvJHEF1moCaQg7MCxJnnA1dV0G+cm5rr3FcBDrSlYwwX0NmZeC3vilTAgfmZz/td0Zk5z3apSG7E6Vr0MI5AT7ztqbJwqAL4wuiLHj1HNzyZllugVAH9DNbh40R0PU8im/WxCtirYMB2uh/9197+23u1KqBgnkOnYQGd4cj093c6FaDCt6iiyqKN77R3y7r3DSsgNEFm4t0B9LLZlapjZhVwSJLZ8JYGelfSDPeKZQW0VL25K2GO7vymP6DkegU0UtcFzXmjayXUjdo6V4BPL8u5tnh0n9lwrX23KkCDes/vkpL/+YhO3ge/CpADVtfc1+gHHGm2RQVXgObZk11lY+iU2Cw7jfAKODP+m7WD+sw//3HucNufmAoYbbY8vsyN/ii/SqQisQLC47rN5Y6gH0oTCLJPqwDnzeHuAQbobuLeQwLPKyCtsT1w2BE9SKfhSF/BRl6sBx7o3EfvpxuPiSmvgKzkvxmdWeiXdP5MaNVtrHfNjXSFhK4ttKxGRaqAPN6gaepBdNWgvoTq1grwTXSUrlxGV7n6bNKxswL2LHtFeLGd/eePW3VURXoqwPvl+BZdaXTOp0Mxg/0VoPtgPVv+DPrbSb2RuK8V8PXtuovkNXTF9MxDZyYqQGCbpL1CMPqBqt5A2pmN81LZnqiXjv5RaKqrbrECTp3kp/JtQO/+Osjj+rcCNkk5Pq/pRWcaK7gutrkSJnoXH9Av/G+84IWKz4yV8LFovdlmpw7W24Ohv492VgIra5vmB0l0Rn7Vk7p7KsHROon3wmn0b62ekfT7KuHw3zKdyavoQp73uxuFN/yQyWB0EPqIoNuemxKVUGj85o1GOnpKg4yZxKFK0Kq+IM7UiC54qOXJiGIlHEg+sjD6CT3/lsTnZLWN+auXyXYtohO9rvLpa1YC7wqtu81W3X9+RtT1yladSuhxVmWe4kCPdtFJJZ6vBJsMCTsfEfSD6qufbl2shHNiDvdZ5dF577uzH7SshObEZy4V6uiVsg26Y9cqITbEUeCyPnq6aFdoqtPGPgS4prFYoE8ZFRPPe1TCGy69yddO6EvZF5a2+VUCz3AOw4Pb6IF0ryUoQZVw5wLvqlkketYFOgvv+5Uwx6xPln2M/jqMPk4mphJ2hY5a7cxHb/bvaBl/VAnbNb2/LNeilwiZLKY9qYSC9lKViZfodGY5wsZZlaD3SNLn60f0zO11BswFG3UlEP342xh60d5I/5aySlgev5X5awG9zIGvwLe2EqLMw+Jp6fT++b0x1w+HiBt5X7d25WNDt7ketGnyxYbLFaicFETv79Xb/6yjEo67Uq26y6K37+47a/J+I4/CtHkFx9DdN/O6sfRXgkONod5PPXT7wL2PWr9UQszDpF8K5uhxzm9rb49XQii38/0wJ/TDRdAv/6sSwqq8BUdvo//gtFybWqgEDbJp46ko9JQYJa7MP5XwObXUtDoV/cHci8MXaatgUxbfumQhuiUn/fldjFVQLH0qr7ABnfbromMbSxXcfNRuodCOXrM/MdSfowpOS57Z/7Ifna9lPP0wbxWEqV//azmJLhr3vXpaqAo2i7WM0a+hczk+7MgSr4JpMeqxcsZz/zxCfPKLmWwVfIlu+nudC9098+dvVsUqGH76RFrsADp7SRL9a9Uq0Mk8HjCriE4jPL078GTVRv/RniOfQpf6NCGseLYKem5fvJtqgv7pafihGYMquP9ul1rAdfQ4g3eq2aZVMMjEKuDoha5Fbjh92aIKlm3/SlmHocuRTp1nv1YFJuxu162S0L8IeJq1O1ZBlyb7e/vc/42vPWkVdLMKgqRCXPxq0S0MK64p+VbB+wWrE4lt6NOthBuzgVUQ2qqv2/AJvfKzrVNOWBUkvZqLm5hAH3LMd77yoArOCY5y8K2i/1ALc979qApU5l/1XWHU/+d5QlROHalVcMBE43MOF7rid+YbwZlVIOCycGDtADqzYYXt0fyNOjnv22h0FP2H4i+LudIqyOD0Sa7XRh8xbzLNrakC+/exzWJm6GZxfPrmhCpoireGpzfQdz5h0+J4UQWt9jGMAn7oVJpJyp3tVfDBok68IBI92LjwYEh3FXj7+2eqPkHXeKTLr9xXBVc6gm8NFKErddzeOf+5Cq5rX8sOJKA/JyhS5X2vgrjV1wqyXej75O78NJ+uAtZePdHJz+ixv85+4lioArGhR7cLZ9FFqjIpnWsb52XzcWUvGoN/fl07sCCEphrWYcZKhxVd3HX0ofLWapi6o74sIYQeNtXuNb+jGnoqB9bY5NF/+xy+nLe7Gu63m7nQn0QX+yJ4zIKnGv4UWF+kNkaXG3ggsEeoGgRV4hvorqHbS/jRvDlQDUzm0Y9YvdC9Hnz/HCJTDW8W5qcP3Ec/9aKzUflINUT3W7Vop6CLhsskzUM1eEze4fEoQE9OYXbL06iGyj/jK7mN6L7l1toWZ6rBf0T10vdO9OVIWYE9BtWwxUX4tNRn9DujHkudJtVwx02JcnsWvctN+nWIeTWwV+173Utz/p9vmruUqmxbDT+pPKyV2dAv7Fl3mHeoBmHOoZhcYfR7T3ao5LlvrJe4bMh3GP3m0RhGC59qmKi6Wp6uhW6VFfCBI7Aa7KpfFhwwRX8bM5zeGVoNoj6EE0326DGVuddDoqthvnrS76IfekPzkLRyQjW48k2b0kSj17n6Lc49rgZVa9uhsnR0RdfgutyManh1cJnRoQxd9uacr3leNThIHBuRbkafknihwlFaDaZUI9fXe9BnTq3/6aiuhiSd2097vqNz+CbVBTdt7Gd1eUTVCnqwa4LH0ZZquPtBUOrpNsN/ntQ/Lz33uhq8TzqFxvOg77Ipmch5Vw26qQpPHh5E/1r/Kv3Kp2o46MjlmnIMXS/imNHuz9Ww+1Q9faEB+ngAK2PHWDXU1NVefmmD7qup2hD0sxqen6ny/XkLXeoe5YbS72rgDTlnxX0f3eTHk72zqxvf/S7ObvgYvZyz62U2dQ08mRuNe1SEvr/R0P0yQw1MCfKNjhDRf/tI8bLvqAGD394MSt3oCX8uvHjNXgMvPiVQJ4+iD37rvhHIXQNjJ9m6aZfR335K3akoWAOM+Q/v3GI0wnfFncqKX2I1oOBauXWBG93Km9PouXQNsNFxufseRL9z4+WC2eEaoGmzIDEdR9dYJj5khRpY3Cf5O+c8+j4CtfSrEzWQeI17h44terNF2Ct/7RoQWn/D9tcLXczfyOqwfg34HBnfUhWBHlFru/rzQg1w3qCb9ExDdymoj868UgO7frQSNcrQUxb1BC9erYHtVF3h3C3oe+RFKnc61IDmcqPO34/oCpuVNF661UAUp+z28R/o9zeFd9/2rgHV7PYXA3/Rf5I4zOUDauDoF8mAfhZjPL+jQz8m79XAEu2iyjdB9DDaYbdnUTVgodWyaUkBnVKxe+1CfA38GjnaxnoanSkm2H/H4xpIZVh9rHQJPfbg/s0vntXAp29pfvbO6DUif0N8c2sgIaPD4XkQusx2OvpDJTVw+Iag82QC+rS7SvBEVQ08tjx2TykPnWchkyq9cWPfslsrHzaiH+FT8jFqroGTRkbri13ov0LX5re/roFbYZFW1t/QT5C+21He1oCEEdN4/xL6VdO/w169NWDZeTPq0rYL/7z3m5KB9HANeFHZmkzwouvPPGkeG60BmSV/7Tuy6O+2icqlTtVARq2V7b6T6Ikt758azNeAjnZxcZsJOnd+BhPj6kbdFtDuv+2Azn/q4S0iVS1MfaTqUg5AzxJ/NuyxpRaCW08W0sWjfx/s1JBkroV4p5uk3hx0yx8ceSNstXCMJLGjqgH9Y5/P9uS9tTCSuz0ptQtd/cjKDT2BWpBirbSI/ob+9X7Ua3qxWmAZabEPX0aXNFUSbTxYCw1rQ7Ux203w3SWxFuimUAvZR9N1nvGhz4a+6RdTqQUfv1yJRjn0lPlK2c/qtSCSmGz0VQtdb7bgXsLpWiBeZn2z8xL6C7ryvjPnauFZenmitgv6ZPkLcdoLtXBKbG9VdAj6tN+Yd+3lWrAhTogNJaHDKMtLJ5ta6BEjLCoUoQfYnWAVuVELicJH9yWT0dMj75gNuNbCB6e/WVs+otd1EDNivWphkJgVeWcSXS6XfkLLvxaYOrp7qalM/3l2qq7Epnu18PvE/vtRbOg/9yc7VEbWgmiPaqawGDpn87cC+7hasBBpFGtVQb/9U/IHf0otWA8Cj5s+ei6vu3Dv01rYmmIdIGaLfvFt5eWonFqQ/9Nx4YcPevrt2fgTxRvrSuJ6XvkAveiJ8OvVylr4yvDDPjwLfUuu3npJQy3o9PUX2Nehm7C5HLSl1MK+lGh7ozfo8UYhl3le1YLa+8w87W/ow9/Cw7u7aqGKsf6G9gr6s0NBVWEfa+ESwaXCkPniP3eruj6sOlQL/E7Xgu0E0WU+q9AvftvIYywMhx1BHxVYP1AwWQsKaQ9by8+iD/3KOWs5Vwvzm7eojVuip1YrO+5ZqYVc6SPa+z3RByaqIzo31cGb+y8mnSPRHy7syQ2mr4P2W+eEWp6h/9K6TFFiqoMeY88lwRp0g3N3+2dY64DtXp9tZAf6VZ/o2edcdeByicOTegR9WtaT7hJ/HZClOg/4L6NvHwEOVtE6eHb6SeBWZrN/vrLwRaRNqg6C/ogEpgqiH+m5IndHvg6Sw7dIKCui+0xUqcor18FfpeHAUR30ouRRrcnjdeBw6mxYkjX6ku4P3aen6uDO7MyxC97oBU6U88Z6dXD/+vVi/gfoV644GTMZ18HDEcP3C1no3UFTxpRLdeAYaVj+vh596zFFIy/rjXk+2KLb9BZdatVA/6B9HWjt2pZX9h29bOfRM6MudXDl0KbW0r/o+yem1FM86+AWS1BOPeulf+7wxVbx3J06aCPJn+sSQw8xzZPYcrcO1C5WUX6poheXl/E0RtSB1VQGDZcR+gXtO9vdHtaBqX8qi+4NdKk7zCuiyXUwx3N8JioQfWvB5ZGh9DoIb5XO/JSIviDp+Douuw74fRgOHixGVzE/Wnq6qA40Za89jG5B101tjqOqrAPmr9Pdq/3oX4HBo6q+DuR8js47z6G/TN1seINcB98mpuZnGS5jP9lVIyPQVgdj7M96/fah887zbe99Uwc3v65ksCmgqz9S+Rb5oQ5MpB5eqDqDrnZ+e536YB10dW9fsbRCH78dHrkyUgdJOXShXN7oeva1l4t/1MGgHzfD4AP0qhtxkjazdXCGb8YnLxs9qodrlWu5DhaM940FNqH7LZ1u7lqvg8vjWqeu9qBfEhSMuEtXD04PtuWcn0I/lPv0nPL2eiAE0wSKUF/554d7m9nmdtXDM7rJkpzt6J/W7/dkc9bDhECUhfQe9EK7uYeX+OqhQ/ZofKMg+t1rK7qs++tBIezYWb2D6EYnnmxtk6yHslsz98eV0M+fGibelqsH37OPdO+eRO8h1d2UO1oPHsYhj8X00a8vSYn+OFYPIp+3ur27hP5KVqk3Tase6g66v/e/jj5a3xdiqFsPf8JZyXI30d9+YpbZZlQPl48cVpn2Rx989/4T0aweft6U0iyMQPedOuDvYVUP54O0vrgkol+w3yEkYVcP/Y/fb1fORD/50L/li3M9WP/hf72tBP1stq/1o1sb/ukOz5d69NQJauqzt+th/poKXUMrelwKcwpNSD0UDeYGPe5GJ/1Nl60Jr4ceW7bkwGH0r7rVrQ6x9SAh337KcfJ/6+rSNRVMqgcWF764K0vor5uu/ehNqwfbE+beRrTm/3zCiMoz6nk95PT0/dXfgV7Qw0Z7orAeOrWG9xnuRS/0yAxfKd+IQ2j4YrYfvcG9cGdxXT14XyCfsDuETtkqFW9Nqoc0adXTfqr/+66j0G6ul/UwaxE4H6+N7jsQFfemsx7oNvcfqzBGnw+zZwnpqYcl8USFXiv0mcKaMKWBerCYYuimdkZXv+1ONfO1HowNfffI+P7vuwdT3bMm6sHO/RjD1VD0zUvSY6Yz9ZBxPjsjPQ79K72UIctSPQSu/5n8nI5OGxtLavlbD1SeMV9FCtHpX5mJ+2xugODm8lDXWnTS8P1Y6W0N8Otb2TClBZ2fdu/S6M4GCP84OM71Dt3IaptJyp4GYE0Myro1hJ4mZVqjt68BSvbN7+77gX4nlo6dXqQBlq194PgS+r36bU71Eg0wctGep4TWAs9vj90L50MN8GFhZ6UgC7rdNv69IkoNkMrfRJ/Kja53T8KhX60BbF43sXKLobu4hjc80GyAhgHLwXR5dLWFo1tP6jRAjPKKtfhx9BOHlQ3WzjeA3Juu/Hod9ONX7ieXXGwAXY8j5ecuou98KDRsY9kAEyx3fH/aojcsMfDvvd4AZj7zDNHu6F6l8uZdTg1gFf3NRCEAPWEk53GIRwPQCz11HolEjysx/6Dk1wCZTJ46Ccnoe5UuMs0ENcBPnprfOtno0+kJx7LuN8BXwRJrpgp0WrqdbqYxDfBusijtLRHdNeTl0x2JDWCgSpud0oF+S62+o/lJA+iNrvnY96G7G3xf9MraqJOn3/cd+44+13ea52BBA+QpsMdx/0ZPmxtR+1bWAIctuz/9pbLEe7OyxCKptgGiPzvPfWNCX1QuvqNDbIAFO+Xht1zoVc8Gk2lbG2CoOvhp8370znXF8pqOBtjik6jUKIeeeY380uF9A1javMivP4ZOXHTvF+hvAEHhS4sEHfS3TbqTH780QI5N/t5XF9ELevSWI8YbIO7NJp6+a+gndD1ojv9qgFKG3LVfN9GLoWnr0kID0FUs1GwLQpeqEmEu+NMARBc5I8kH6DythTssaBvh+HD5+/Op6NSB55h3MzbC3kdk+cA8dN/FHYyvWRrhr3Sxd2U1+oVD32n8ORqh69jLzOlmdJ+TPctyvI3w8KJZpeQ79CXl3skJoUa4yVRX6DqMPicw3f9EvBGaRw5GN079b99o2dsMZBthxnb7ReZV9O6J0+UMio1wl+/JLpstVv+8cSgyuVG1EQ7FHKomsaGLT/bfdj3ZCI1Ke08LCaD/2X3IfP/ZRqBLyWiPOIjOez0GBgwagVpyr9qaMnre99+cMaaNQLrWleV0Gr3n0cU5DYtGuELZuemHMfqKH6V11bYR2Islz9rZoN9NPZBc7NgIfCmuMTOu6HtXoq5b32yEjnmpDl9/dNvYaXlO30bwFSil3hGFftxOc1NnYCPERGpKZ6egZ/o/agkMawS3RDVTjVz0pPcDoYcfNEJyxg//iSr0S9bsp6YSGsF7e1zWw2Z0NUlV+qepjRAuGd6m/g49V/wC0TCzEU5e5p1eGUY/dPHyLcb8jXXNp7BV/UQPqNIVJ5Q2QqiKPniuoVsdPjDgVtMIs+HRN9S2Wv/zpg+TYaKERqgVe5bOzIGeGhErN9jSCEpXevu/CqHz63EPxLQ3AsXFf1+jLPpdjnv+J7sbITFj/EaqGrpEbxf/2qdGGDl0pSVIBz327hKh+HMjvLgse8DZDP3k7hVT6++NoHWp5LGlHfpm7+65PdONcNlmP+9FT/RHGcH3On43wvfc0WKTu+gTQYycgWuNkG6qaHA5Dp1+m1W2Ak0TyGU6b73+DH2naITsJEMTCJd86vYqQVdvC6pL29EEXzLJ5Q+a0Ff7NVXP726C/CyvvMJ29KIzH4gMPE2Q9e5MbVcf+ji9pGqjYBO80rr/ZWUc3WThVJ3LgSb4xe8vJLaE3kwtLisi0wT17r5Bl+lscP7snc/7DjdB3vmOTcms6DwcMnuioQmY3hGT+/nROX6du6uu0QQ0q5mGgtLo4kFSs0vaTeD2oVXGBdATapovFOg3wW7HW9ItZ9Ab3HY1mps0gVMztcG+i+h7E9l52c2bgPypIvnOdXRgaPdpu9oEPPlDDGO30HuzDn3wc2gCfdmOJ/p30Z+fOy0p694Eszadl1ri0KMnmQLGvJvgrKK0JmSg++r7vk0OaAKHx2pmjaXo/tYPeXVDm4Df9+yT40T0lnW9a7TRTfCNlMnc2Ynu/besqDq+CeYM4oquDKJTKVfP2j9ugsPsdneWJtGb4i7K8GU0ge6oW2D8Krr8l1SH97lNcD99U63i1qsYZ9XneWhJE3zfd1HoGwd6Z9V8v3J1E7Aovm+JE0G/Pk3DPNvYBMZNNU+05dFzPbKVs5qboPa2UQnDCfQQoWFbk9dN8Eljbe21PjpDe3Y007smWO7/HRhvga6ttqmC1NsE1PQxJ22c0cMMRt7fHG6CWyE8WkfvoDN+PDcnNtYE/nvGQzmi0A+maG0fmmqCPi9gXH2Mfs2pRSB2vgmGzB07vuajawi8kD+5uhE/oKX7bd3/4hAFn/3ZRIADETG8rW3oCgVCOUa0BGCS4ism96I/UrIuKKEnwEsWwt3m7+gUvS9FjIwEiO6rf96+iF7cnVxszUQAXilrln46238+lB1d1MRCgBd5dC2/2NBNS5vy97ARwGjqZwujEHptt0i2KwcBhMLt2CQOoXPMvUhv5yIAC3dbqcFxdN5fqYkivARwlDZOCziHTlWYF+XPTwBhI8uhSnP0m0xTgX1CBAjmOOI844ROmTW/KSdKAKs1YSOZO+gVSgxXo8QJsC3EK8YzCv3py8/nx6UIAHL+gi9S0W19Jo4dlyXAoZB7TFyF6A6y/JKP5QkQMTOg596AntN+d/fiEQLYTXZMv3+NHibKua6rTACt79njR/vRuYQ+juSqEoBbv0Y198f/9vkxoZVWnQBKCWcWuFfRp5ze5l46ubEurjLGR1uv/fMBr233q08RgHhMIYCDE/19wo1rO88S4I29iOkTUXSvZ/Mn7PUI4P37TYL4EXQ6z7R9LQYEYJDzP0LQRJecc1zmNSYA651gNRNj9COT5m88TQmQJHKgZOUq+qSye+a7SwSYuNUUmu6BnkrMviVhQYDnDVGvz95FF9Jd1bprvVGfSuNe1AnoX4l2ez7bbsSX2xNfn4VO+Lk0qmhPgIJxe17fSnTxwvTSh44EGI2R5lBvQef6YOXz04UAzrbl/iw96EyqauqaNwlQ8/iY2bdv6PRNclufehLA30I0v+k3eoyoWseqDwHqvlQ4pm2+jv3NwCL6/B0CZGjI5dxlQxdje6RbFEiA8tL5C+5C6DMqn5kY7hIg7aRa4DU59NrMo68swghgyG8rbHUCvWhvTnB9BAGWTSvVrc+j370ppML+gADfGDyH7K3R3YKL5x0fEiBL+c+ilzu6IpdWzsuEjTi00VFRwejcDD9NBZIJ8Oqa3/PcOPRR3tRtvqkEEHdhU3ud+T+XMq7rSSeAzb6nZvMV6HNbuGwPZhLgvYvzX/4W9Gte33aGZRNgu9UbQeMedFH9yrqveQSommB8GzuKnmwebqFcRIDMZSf6ngX0XFcb+oRSAjTd1m7hobfDe8rweO6vio34tj+YHXajj3/gO32qhgCFiUnfyCLo4eRNE8/qCTC4mKW57zB68bfBkD9NhI0+bKYYqIn+iaGOz4i8Uf9lW+snjdHZVmNri1sIME5a7bh4Df1XoK3e1jYCfLTydXvniX7bQWHUsp0AV2z7C3TD0I2D1m81vCEAW6K1T3cSemJkE8PubgKENlp/vpSH/vX8zUdOHwhwOkV0cLoO/cJTfqG2TwRYnfnjevc1+nMlcpHAIAEkvaUyhAbQF78bHvb9TACP6a1ObVPoq079jT0jBLhMPfDR/e//9jPx3PGD3wngZjk7JMJs/889RaubQ38QQKwxIWSYF318hFHj608CzNXs6XhyEH0hWptydJYAIiuUKms19JGZW6rxvwnAyTOqLnMO3edVVO30EgHWCS9vbrZEp/0cJaO1RoDfnvVnh1zRtX97ZD9dJwBj/9aOpiD0Z20ae9eoiSB8k2ohKw59mH814jwdETjfTb54mIV+vin2TyEDEWI995wIrULvvcJst2X7xvjJdw5BreidL+x7zHcQgSvHViOkF52pPBfqdhGhXUywPXIC/e/IiyzW3UTQGDtHm7qK7r2HzOjASQQnXbWpsm03sG8wJzu84CbCpm6l0Dfc6MdDznbu4yOCX19k75wk+tCRfgkvQSIovQ4Z4lZFLxw7FvZOhAj69E4pZ/XQ+bT9R8QPECFvPJ4lxAJdUCD+aIgkEb6+OqlKcUWX2H8nZkiaCPbUnaIMweiS7Cqjh+U2fOBWp0E8eurzDoWYw0R4nf1A5vlzdIf4g3d/KG3kJd/aYFMNOk+KRbc6EOGTmJr8lbb/xXG25E09RoRpS6felj50l05p28UTRJCMATg0hR5543WhrhYRqCZXbLP/orvSyMzlaBMh4tlPI4EdDvg+1zSXo9ElQuKozfZMPvRts8buF/WJkDpYFCYhi65StbuswpAIZcVsXfXq6LJnUn4ymRDhse/I53OG6D9sv4nYmhGh1Ny2cfoq+kTjzCXiFSL8cZu6GuuJfpCGEMtpRQTmV01DyvfRlcbPtrheJYKI6wGR6RT0HYKPF15fJwLDLR94XoguY5MjKOxABN7hv6I2BPQMcxfd285EOF/wd+zAW/TPLxY8P7oRQW7ghdfSV/Q5Lbl06VtEaLbN+vrqN7rhI/GWMG8i5KuPCmTRO2L9W/Z9/+pHBDrzd0fv7kFPvKDKoBywUbc5NVKOB9BXxExE4oOJoLz52x8zZfSiYJHj0/eIMGWYnq2vg161+/lFzXAi1PkoSuuao0dFfnBNj9o4X7prj/Rd0eUSqu6txBChIEvms1kwuvDgiWT9eCIE6IoyOiagmzL75+UnEuHVHnGOuzno2j1XazY/JsL6yxCGrDr0xYElyqU0IqwJBA+/akdvfyPTUfWMCByjLqlLQ+itxqzvdzzfyFdbsrr4LLoxb0rvtVwieJCErstSO/1z5/bWPlIBEbK+2ogYMKKHMCb2cZUQ4Q5PlcktVnR/f8Zet3IiZGvU06Zxo7/r4eluryKCncRe4VfC6JalXa+F64jwIt2naVkKPaWWn3y7kQhmToFdB46g28TtqPpIJEKwZc9F82Po3N8Ts6WbiSBznMsi6TR6gVFDQlgrETa/X/zcY4B+455n0NdXRFDvZxlgv4QOPO0ORzs3+sAeZgOTq+i36isN494SwVA77mS6E/rvzXJHf74nwjepU9U/PNFpHmvwnuwlgonfu6wjgeieAhPrT/qJwD/ds+t+OPpTRZ7BpSEinFFYWR+KQz8d+LlG7+tGnTB8tTv8BL36sUxs7igRtrArGD/MRi8T3XGdZoIIjVtTmudK/jf/llsqF6eIwB1bVW5Yh/5ip92Oil9EkDKWEm6goH/M/za0fX6j/2zK4RTp+F++ZMbybRaJkHawLebhB/RHqg4eTStEoAk7HLX5M/p+N0/g+EsEgfzEHV4T6IrX6Dc7U5FgWjZ29+wculcde+tLWhJ8q2vLuPEHnZYu6x7/FhLs6P9WPUnnjOO/lml4M5KAVizMwHEH+uyUCnU3EwkmDpvd+r0Hna7pRJ34ThLYJtIK3RZAb5pucQ5mI0F5r5DpNgn0Mg6i0CAHCe4F23A9lkcf6pL5IL+XBCLC9jbSquivSzlDonhJoH+s/+hLLXS3cx4y3/lJcP7SxSdW+uh6J0/2qwqTYGb1QSSNGbqRSGhgoigJ3JL4GbNs/reuu0r7Z8VJ8LSyjE3bCX3734ttpw6SgNg2UfjbE30Lz+S1Z7IkiD5748PTQPRm7zG6NXkSnKoajtKPQH+ceybdQJEE6R4TH+kT0E2VuY8UKJOgYV2qrCkN3bDFoGOzGgk0Gwx5vXPRz3yYvXJJnQSnuWh5FMvR71It/Ko8SQLTgIGitQb0+vcX/ZhPk8De+N570gt0vhEhBtuzJJjclBsV3oV+rV7nAUGPBBX9Y4MX+tArpz6y7zlPApZTY2Sxb+hFdIREZ+ON8RlnYP0n+o04Gs42UxI0niDofVhCvyfyNIH/MglqAkdWS6ld/jnjqaSd3hYkeFR6WSVmG3pA6ETYO2sSFAp82OPOjj7m/GCT+DUSEIR+RZruQ6+LjHANsifBd1rd1BNi6D+vD3ztdyRB2dYUTdlD6BPRt/XkXEmw6usZKaiCHhfmUh9xkwTbn0U47dFEP/25XHDUkwQhdb7TLOfQR7hPhKn4ksCObpqR6SJ6fivfVPwdEuwkhLRst0G3u6Z1ZjqQBNL8E7wsTujmd2tzT94lQbdlIweHF/qxHNfNaWEkuFyTXcIfhK583tVsKYIEkQZnfxyMRF/fUV2q+4AE16wMWo49Qn9irro55yEJDNmuHDd+il7/aut5qkckoHrAbumcj37pHdvTC8kkuPF3r3BkJfqOtcuTJakk+OHPEVFIQH/TOia79SkJdikXPnrbhs5cn3fLIpMEXWcDtVa60QlGubW12SQ49+5omtDQ/9bL/WV5Z/5GXxq5/dhgHP1mhJ68XREJ3iTMqN2dQ8/dv+hILiVBLLVCZMMf9OcOXVlclSR4Lvc7YJHe9Z+XDg5+cq0hQTx07ZPbiX57kXvb63oSSIo72d7ci66sEKEoSCCBH62HSZ0w+gOuAzY+ZBK87QhbpJFGT+BbiOxuIUFxpK6qrhL6YPNkuXgbCfrVb8ilnUB3DNr+Mah9Iy/TwR/mdNA7Phou9b8hgV4oiJw2QR9VfsEm100CBUYQyrJCF5U0OxjxYeO710Xf0jqiuwns1vz2iQRhSc8kr3qi8yXMXVQe3MhL2Dml9kD0ZaoZh7jPJKjf37ckH4mu1r/db2pko59f+nI14xF60WPNsBPfN/oS6/ZQtmfozg1PYh//IIGG5CazsIL/zbOUJen3TxJERF4Zoa5G/zWT8vjMLAmUWd/x3iahG85CauZvEkQlrzGvv0Y32b+c/GeJBF/++FcEfEB33/Ii/vwaCVpZtrBs/YIeS5cdWbBOgpFcWYG4SfTd8UmBm2nIwJSUMymwiP5B9LG7GR0ZRAqYHCqp3P45z6FCqwoGMmgU0Wdrb0MvEn6tu307GSJtjySPsqPXuPw+Yr1jY3yqpmYQH/rovf37GnaR4c3OT0VC4uhGvZY0bLvJ8CQ45m2bPHrSu8yv9pxk0CxjL3FVQ68enSRQuMlw/Tyj9j5tdEF/heS9fGQg8bNlvDFEf78jyMVNkAwcnR9rgszRhWi6NF6LkOEU42rEUXv0H5S9HIIHyKASvI9v6Sa6O8l61FuSDItjU65V/ui3ruaWvJMmg3Mf/V2vcHRx3nHPA3JkoNDuMlVLQJc22AeBh8lAQ1f+i/Ep+mOns1R9SmQw8IvS/JSPvjrgTJABMvQxnLLMr0I/tTnUJ+wYGVrU7qkFkP43/myM3JcTZDhe//OraTv6FH/4jyNaZAjaxn/6yEd03+9uqQ+0yVBBavHg/IruRHf67LgOGbbZ+19fn0Kn/bptVVWfDHkxCwLfl/6X36/VGY8MydDU0JbRTeP+zxUczpz+dYEMV52fTlGY0CNGW3+eNCNDrST/evUe9Kli0agnV8jQ6vqzt1gQvf2gg/iiJRke1OX55Uuhc7582HL2KhlY/P5O5SmiS/Ynm2VdJ4PUwfv7i06gf3rlP/PnBhnIxxckK3XRzZbVA847k+GhyAgV0RT9WvNX5gI3Mpw/uZzeaYPOH30xifYWGQoZPzF/cUbnrSngu+hNBp5PYtpLPuiWT95nlvmRYS9btNHOe/+Ln/5WmDFgox72FsocjEXn4n6WYRFMBsbTooN6qejdjid4a++RwWQ108QjB/3yQlU8SzgZpgNas9PK0Ve2LW+9FkWGskNyL9ub0PWY6X0IMWQwvxJd/7cNPdR4eHx3PBmSzvkFyvagHzgeaOCYuFGHBs947D+jK4n+rGtJIcPNgmeR2ZPo+6149/GkkSH+iUD390X0j9ps/u7PyKBm92JanObmP09U6hh8nUWGM2dkv7gxoUvd0zwimEsG69uM+YQ96O2hAdHeBWSgOzx/ZocQOnuC18jbYjL45T5otTyIvpdOSk6snAzjdPf21imhW4qnBvhXkUHcy/sU+0n0gUstrz/WkuGvxA5993PoUzOZuw42kqFfc0L+oxm69RElo7tEMjD8LFhQuYYeei8oYZBChhjl9ZgcN3Q6mTvdcq1kOGkQsI3jDjrVPXGmiFdkaDjdZxl2H31L/131kQ4yqCsWJm5KQOe+He2h9JYM8zJPCr2eohcQ1Z/HvCdD2olzz5YK0B/OPX03/pEM7/3sbnnVoPNb5ayp9m/kdyxSclMz+g4LQ/5HQ2SoC7nSEvoGPUwpW336CxkOXApS3d2PLqry2FJjlAzJN1IfZ4+hz1fK3n48vnEeS84NKs+hW8xeS5ifJAOR7wTNh7/oxkdV8k//IkNP+Z7tbls9/rnIcGHD0zkyPL/otsbKjv5wf+2r5YWNPr9luauGD/3l5Us9uitkqHp6OtJCAv1aZ+LA8z8b9wXrDhnmI+jehOuf/26iwJ7jEw1N6ui+3p2fz9NSQIvZT8ZNF11fs2Uwn54CvkaO0eIX0c85nPlIw0iB8AXzj9+voqsesuwwYaLAGHl5a44r+snhzcQSFgpkxH7af+M2+tZq2eItbBRwl8+WkbuPHrPpR/JlDgrkeNKJUiWgG/4VDarkooC4SOK2rqfoyr9/2m7npcDtzbSDGYXoj/YfPmXFTwHih4nHPrXoYn00++uEKJBuNqNt3ILOoaNLvVOUAlf1634ovEWnauHqtRWnwKjzpBfXIPr3O1b5TVIUiHbYv0o9gX6CsN+HXZYC+qs7b/z8jf6TbKN5Q54CdS06XQNUt/AeebWXhXKEAh+9A/Z3bUd/w6rVw6lMgeOks66te9C/DY4nOKtSgF/FuJQshL5u8+d863EK7I0+NkqSRued8N/Be5ICFudLmFuU0XMz3F+4n6JAloimVLsWuufbHq/XZzbiPM498fE8ekvhMzEBPQq4afroj5mjH3P71ONpQIGv1VcurNxApzbzvP3GiAK7vFaNWLzQQ5/6CYqYUkCU9ZeOeAg6xfd7s+8lCrxm/KJ2OgZ9l0iFZbc5BZi/uEk6pKJL93z5I2ZNgTus2uxxuejGJMeH/rYb8+dmXGmqROfhNxH5aEcBY5fzn36S0O8eSKuUdKQA+92OKr5OdCZW1WPBLht10rYn1rgPPXDH4bY+dwrUZn+yjx1DP3w+5KyMJwXCQstPvJ1Df88m2nnPhwLJXad42DZ5/nOfYB7todsU+PFZddF0G3pJj1WzXCAF3uxW7MriQL+qtKIYHkIBlvbe/N+C6Esj/flfQjf2zYgcpimNLkrLyHUkggL3tibZPVFGF3kZEBwVTQGBQ1S6K1roMZbHJr/FUqCPN+XwBcP/fZdaU+doAgVOsTEJ11ugc3Q/KIxJooC18QqHgCO6Jx3P1vHHFHAQpd0Z6Y3+qmXCHNIpQNfcwfLnLnqd2kJFXMbGfKz+cDg9RDd9pkI3+ZwCNEdl94+l/W/+u0nnjuVRQN1vl6pFATpdq1/yo0IKNBmrmX+uQdcadhn+WbLRT35fDrdqQc8OTeE7UUEBb++dpB9v0TWmli8lV1NgZdsatccQeq5s6KOZOgpIvGzSoZtEfx2k2XGyiQJ2rzblJC6h02+R35RKooDyAQtm6c1eeK+N6EjON2/U7VpI4GsW9GPw0PjUSwpo6uyks+dBpwOq22mvKTAh9TyB+QC6/Za49IVOCsxkfT9cpYD+sekMQfvdRp+s8ZywUEffGyra97SHAqlX/+Tv1EO/fld4dql3Yz5F7P4tZujXBo5t1hmgAITZXvW7js5Z4MOaOUyBoKm4K4oe6NO73/KufqUA9yu1GyuB6I0qaiJ6Yxvnl4U5sjEavVmtVez5BAUic9LIIY/Ri1Stxf5MUWDOK5FJPxc90IRdWH9mo86vpjgKVKFXF/Ry58xTgHJWe2yRjH7QuIBlfZECZVu1b755gy7sEUV1fpUCcS4q3AUD6GdF/KZy/26clwst/RET6KVBHu83UTdDc2RIhcsieleuZ43h5mYoGeDLNqX1xn5SHpCYv6UZyNuVKjRZ0Lnro92ptzVD3Be3gSM86Gp96WeMmZvhLZcLn9QBdOoD5XyFO5tBw/29//7D6F/JzTM07M3wKkttXegEekNDd8OFPc1gaHUhSeQcer/UUHDR3maYMGvSl7iMPnXwq9bmfc2QCOziCvboNB8GGUwFmiG4ZJPgCU/0RwpvmouFm6HPiO+oUQh6xNUKXzqxZvj0ltP9Riy6sHe49EWJZmhojOq8m4bOEqL/ueRgM7wv49fOKkC/nLwlgv5QM1zVuPmjtRY9uD3nkJnCxnrpJAqnX6BbSsp9LFVshrP+4w8536MrdGZ7bFHZ2DeVs2laX9Dz/2O6PuOpbMMAgJOV0EBpSSmEVEJG4zKLzCgzM6MSWYmiQpSRrBaKkKIhJCErnb0JpVBGRgshZfSeT+/l6//3/O5zPde6n9OwQMJFjwB/GmfZET/Rm8X1issNuXEmZSo8n0EXa3XfI2xMAPZqUsFP4Qj8nllxlO5iSoCAPjmTbVLoT/v07Z5bEIDh7LA8eBP6sPm/TmFrAiz+zbeoRhX9n8sNN9fDBDBZS1YQAnS7TYLdz+0JcFnD+JSdGfqbIjOHRUcI0Fgo//mRA3rYXx+Wqys3nyyB8/w+6Is22OpVeBAgXfTKPvcQ9HCF5SWLvAnw7LnlrtdR6IpS+SvdjhOAuObfEYVr6O+mZiMrThLAIVXrcUo2etXbjd2LAghAcburOFeEbl0mvtstmACunObWU5XoN2+RMypCCaAlH1ba/wa986rB0KKzBHC+u73WtRm952aUtlskAe6F3P3T2Y1eW3MxtuIiARq6j/q4fUcfnd3LWHSJALvFNwoN/EX39Khe6naZABd0zr8PXBj5vzt8G7GsSCBATbRUN88K9At3PyUsSibA+NLUlRkb0XvOXm50TSUAj9DVOGVV9Mno3l/PMwhwMfqJImkvelLl2IZFtwgwlJ2xwMcMvWtlualrFgG8ffuWiTiixxXKBj6/SwDBf3vty33QY1whTTiPe77nvjbX0+jb9IVKXO4TwKsgO2lpDPohszBS+UMCzLzuPUdIQRc/l/Jh4WMCWDXUFpy/iz5KNf/qXEKAbbfoQrsfo3/SfDpZVkYACf2y+7NV6HK1JbNCLwhgVLr0QhMJPfiwFY9zFQFK3sZnXG1Ff/f36lzpK+573az/4tSLTin0nhJsIMCDLpvQraPoUtbvvjs1ESD36qCBwD/02fFPXc+I3DmNkrH6JHoe98nl8zQBKgGOZmRm1a9GN/33tNyRQYAXmdPy+ZvRFx0KuFnCJkCoV99Ywk504XMNofxvCbCicfJfqCG6z/E7Bx3aCfDw9FsLH2v0fAmBzU87CNC7T+aTkxv6Pb+JPwu6CCA7Hvb8kD96zomTJLvPBPDQiqEfjEA3mPVJedxHAB1q92abBPQUqS+HeAcJ8MlpO9X+FvqP4j5J268EkMlaUepRiC790J1d/IN7vqp6V8Dz+XlwvPxvlAD3m5SsY16jT+UwtQ9NEODMWJZYJntePsOrBx5OEWDOQXFZRRd6V9ja1Nlpbj+nhji//YYucHVMw/ofASJUZH79/ot+LU+nrXABEWJrqM0ywhf+96H7Y4HTAkRwIK6cNZVCb4teKWwlTIT3LcVBEXLoVzYVZxWIEsHTS1a9VA39wun7in+WEOHb7/X6w3roxa4Ly80liMDhM76jYIVuRWdr5q0gguCs1r7jLuirCmYqJ1cRYcT6+p6Sk+hirHg1U2kiBAXMxfw5i56hHlqcs54IgzXLVxvHo4fW1K8d30gEpZsRPFk30dtNPBOMFYgQ7fpWc+w+ui7B/Ve2EhGK/OoazJ+jp4i/sBtVIULb8o9ZT16jL13hWmmkSoT7D5iUZRx0t3JH8Ux1Isj6a5qe7UaPYRQe+6FJhMaSyvUD3+fFs0+vWn8XEY4/HTlgP4O+nnez0M29RChp0ev3Frj4v5/utLf8qseNc2ghO18U3eEVJw2MiCCntu5LjwT6vcgUTroxEXr3NytsWoMez5MuMmhKBMPa09d9ZNGLNrbr7rbk1lfeYdsTRfSJN46BKdZE4JNkTIxvR3/duOZO32EipEnKDu3VQq+blHqj5UAElecPhRMBfQ7MvyQdIcLtiFK79/vQv4VV8X12JYLRRFKLogX64QjHtRpHibAvPzEy4jC666at2+O9ieAsPHeYcwT9+oEd0HmcCF8fqDtv9kRvJXmaqPoRYXrmQnqUL7pPSJNFbAARdC5t//MxCL1XwczyfTARfr+4kaxzFt2sauaAyhlunkX5DmVGzcvPXLNe1Fki2EwRTGauoN9g0tVaI4nw8vu2ALcUdKPZgfWKUUTYcCSVRLyJ7ucqKxx5iQj/nulYbctB7yKHf2NfJsIRu4hFmYXz8i/6jbopkQidlYWTgk/R786GFoQlE4GotWh5aAW6nd/KcHoqEX7u+e018Ap9swrTeP11IjA21w05vkEvEbshEXKLCMfsS3LZNPS+Lr/3pCwiuCquSTRuQV8TYJO5Joeb/4mDRa870PlSDG1P5RGhZXnB9N4e9AeiINZ0nwjBXe7RtUPooeW69SuKuHnL+7Bn7yi68sH9J088JoJ8ufvWxql5/VNqJVlXQoQ3zoaH9vFE/e877jlWLisnguaPlhKGEHrrkMdhrxfc+X3ipme3BF3I1ufHyyoikHt0hHtXoB8q8YoWrSVCD6dMKHAd+qM6p2VuDdy5frVyD688uqnZ/qzyJiJU97wqSldBb5ORXy9EIsKziz/NN2ug7+eZzHGkEoGfw6NUvxv9V/nz1U8ZRMgX0dtrb4iexOOWwsshwgJvnsRfpugyjyZ4Dr8lgrjEtaWpNuhiYcEnH7YTwdRgD2u7E/pa5fbm6Q4iFG9yIjV7oHteXqdu2UWEgh6tP6En0F0s96fkfSaCRqG8l3QQeoeh5cBEHxHeXg8RIYaj8ymqa5sMEiG8NehbQBS6/atfsdlfiZAaF7hwXTz667pExs8fRBAjN7gyUtCDf/5ZYjBGBMsXz8bO30JfILbb/MYEd359Uxt35KI7tFrGDk1x53SujD74AL1RQO3l7hkidMV4Sd4rQf/o2Nt/7R8RHiz+c8upEv1uisvi3gUk0Hla67iyHv2oR57qTkESNJ3ic2wnonMSHlvGC5Pgk/Pqm7eY6GNNZ499FCVB7kVr8SNt6PKkRRHblpIgqnOatqELfZO5Y0K0BAmCzni/Geqf976LfdJbV5Cg2aJnuvw7ukLj1pubV5PA270+6OIEuqN0yfVz0lwvNle0nEWveNefzFxPggDZTpn1AtH/e/lDdvSGTSSIr6+1/SWKvkbfLzBEgQSKp4FJlpznDlWOJCUSbFIvi8tdi77lXtne1VtJ8HzY6+LZTegqDFtpP1USxF0qrrHdgm58LX+yXp0EWcMsLQ11dLHbN6jiWiRw4pOfWr4b3TZL5bbXLhJcL5v5M2WA7rrP2+PlXhKEvM/f22WKXmGyV15EnwQxtr5Egg26yaHyPmcjEhQJ5KeWOKHbSDbdeWZMgu0NmblZR9GDNX0P8pmR4OWRvF/xvuipJ4r+HbYkwd4S4cSzwejTDucePrQmwcr49T5+59AtSrtMpw+T4M/LnVc8YtAvrOEMmTuQoHdR9g+HRPRefavo3CMk0DTOzbRJR5fkOCz/5UqCfM30JMss9JWnvuYZHSXBjjtv3pjno+8mLFC+5U0CLZ1LBhaP0Leeu/Nk+DgJjjI2CB8sRx/VrFLa40eCR+Lfl9vWoLfds8m7FkACtyaNE85N6GkuJyR7gkkgecNU0IeGriwxfVH9DAnK9p4fDmpB/3OUbzDuLAlO+ktLRX2Y14fjF03eR5KgqiUsKbUX3eVY4H3lKBIcW/3pQMFXdHv35unISySI/ppnXfUL3S3qnhn7Mglcvy8tYE+jnz7+8aZsIrffmsJhmC8G56v6YmdIMgnWLFGRExRFrxVPkialkoDH/+zhTZLoT8Vn7FZdJ0HFuVK24Vp0fXtmku8tbh3ZG276bELfHMXzqjaLBKF8a4qStqCfUUrpX5LD7efCb4LP1dFTR84Ke+Rx+/PAl2edu9GVT9UpPL9PAttIuwfCRuhH9Ox1BYtIcIFybVjTHD2Gd5+N/WMS7K7sOnvsMLqrSaxbcQk3Tlq6fZYz+kSpxLGZMhIsSJiLYXuhV7T8OG7xggR2gf6zQv7oB/dJeudWcc+Z20HQC0Vvy406MvaKu68eZ32IPI9eHK5ubthAgtix37qv4tDjvJW0bjSRINXw5sRMMrr/jJv0IJEEryQpf+AmOpPVOqNNJcEs56N5bA66eUhcWyKDBKcHN4zRH6ALRAYUd7JJENE48GXFM3TDiNSwbW9JkNgUueXoS3Qi34BuVDsJrKzVmkob0JMK/PlaOrj7nGn3aAEFffSHXMOmLhIE39DpP8xBfxC06EzoZxJM8CsHPnqP/rhu1WZyHwn8g8Is+XrQbd0PtqwaJIGletBF52F0y8GnYb5fSbD1jg9/9Rh6+qdtK2t/kOD1zIMPK6fRw9o4pYvHSDCUEy14lu/S/37rcJqR2wQJbrP3xXaKoE8M+reUTpHgR6uBvYEkestqLye+GRJsGCdfeLQWvTkkqPPQPxJcPik3s1wOve9ChkPhAjKkRj5kRKugm78hs34LkIHqcW98VAO9gCKqayJMhveHXAOP7kVnrXApzhQlw9l4VcP2fegSO6oXf1tChktqPn7mluhTuev89kiQoTPa8jvBDt178AoheQUZ4gu03+i6oSclTUp9WkWGm69DxmqPzcvDUi9PVWkyqPBbhe0JRD83xSmOXk+G81dX29aHox8g6Hxt2UiG9gsbkwyi0TumsuXkFMhw4U/VamoCOp/kpEOoEhn6l6sssElH77lhcIWkQga/7zT9riz0EZ6YZytVyZB2vf+jbwH6KLu0+bg6Gd6tp7CnH6PPXmL8qNYkw5u7hHXJFegRmS38orvI8HONEkm2Dl0puVHSeS8Zhu8ZUauI6Ms/Zqx7qkcGW02fzTYs9Ox/B2T/GZKB0935+Uc7ul/wZxkrYzLMZE1NJn1Cjy89LHXPlAwXjwseUxlCN1K7v3DMggx/9W012KPouoGMX/rWZFi2XtP19F/0oF7au/TDZPCY+N2/li/2f1/Pe7eyz54MCc8HKEQR9C5dvRSNI2RYa3ZYJFgS/cbKco84VzI8eXCteIM0+vnZka3tHmQglPQ/aJabd77n1LiCNxl6TQr54raiH2ogPg87zu0H+/V1uzTR98c6+FNOkuFfdV77L0A/Kfd0w+oAMtDMI6yeGqOnib9mnggmg9Lw9Gbfg+jttWmna0K57+sd4K7kiJ59U3qF6FkyPLi++e9XD/T7S9yeHYkkw3Lj4F8lvuh/MuwMn1wkw6sDOeahIegj13mbZ2PIcMtneiFEou+66ORgcZkMV7za5BbFoXMaPDruJpDBaeGFgvZk9KkmycM/r5KBudQw9sFNdKsJfwqkkuH07hByeC56fb2/ZkoGGTqMXPwtitAjri7L+XST+759VmfkytAlyYd4VLPIYE/P7J2rRrd9p+EUdZfbt08Tyjua0P3ky0o498ggr3Nq4CV9XvyrSLMb7pNhcuXNC7db0fVXBRkFPeTm/5dVREQXemvCs7jXj8hwwu9rp/sA+lDLhUbxEjLsVKwoMBlBV3fonPAoI8Pomxm22h/00vPEjeUVZGj+sPTo+gVx6A+0TPmqyNAnoOu0RASds1P1pM0rMqx4966KRxJ96uqTuPx6bj/3KV4YX4vusfhR5q/XZEh6GfVoWA49c6XCQwMidw982gq9W9EDRGVK0ilkmO67oNOliS5mklLSSyeD6oGmOx900bu2hBWpscmgl7b/+AcT9AfL32bHtJChaZfTnU5r9FC3e/EtbWTY9tpMp8cJveB456mNHWQovXNCd8hz3vlJsZbBnWRwNOB7NuaHvlzu5uamT2QY2OQVPxeKfj1pybR4HxnGn3XRRS+iD639RvQYIMNb67qz0vHoE1uVksqGyVAUZJ2+PQ39y2rSgQU/yGB2emjFviz0HVoNC6xHyXDsFUfApQD9Xqf483vjZHAudHALe4Ju4f7KZfQ3GUyTWfLXX6Anr6xeoDdNhlX0KIfn9eir7YVzU+bI4Pa8bqqVjD4Y/GDnJ14KnLv1lv8vB313fSpxmwAFzhOXnV//Ab0siWB5YSEFtOPfeJr0oW/cqtvMFKGA8uZdVSHf0d+Mz5mvW0KBWwNN5/Im0Req/nvtJ04Br4VPHjf/Q6/csVe1djkFDMiGZgLCl/F+N666JbqKG4/7e0cdcfSfjX5/nNZSYKNI1bvANehRX+1tHslQYGhKlfhoE/pV8bDCv7IU0HJK2ziogu4cQx4zkaeAjOvmUXlN9DPx+7VuK1LAc6v+tmO66K9OjYUObqGA/0+Vrkcm6JYXiU81t1PAgqA9N2qNfo+/sTtOjQJkVvk1nSPofkbdwm07KaChPJwW64XemLBORU6HAnkjSgtb/NGH1kSYhOyhQJXGm5+yYehJMOHSpEsBmij/gdNR6Nd2XfYTN6TAm0taUtQE9M2Ht51238/93aISuw0Z6B3s4dPPDnDjj64UOXdnXpxjL079M6fAB8m7au2F6H9mUjwsDlLAyKOUpfEM/dOOUIs7hyiQeAw+3ahCp7ceVftmRwFL2Rtef1+jV8jbLdvlRIHXcXxubnT0di/zwXgXCjyNb2WRW9EJzQYv37lTIHyNY4VaN7r1Y80oBS8KiCt2L703iJ61Xd4g9BgFBLLLepaOoYvfEZ1740uBY46yyjHT6B5bB0slTlGgd1/E8G/+K/97yvoXLh5BFCjVXbzh1GL0nqfB/KWnKXBjozxrUAr9u8S6/H9hFPhMWjbhuQH9anyZjkUEBQIXyKT3KqH3G2+lZV+gQHFBVpGnOvrJhORDX6MpcCaiVWtwD3pbLLtNO44CpodW6/nvR5cPGj14JZ4CCr8qX09aoRfH/iC0JVEgcu1MbZQj+p+JNzvkUihgk6KutsQTfeR34K3gdAooiZTI5vihV9ePTTbeoMCcUVWS6hl08kVDi6WZ3HMmcwOJF9E5fp53Xe5w55RZznFOQO9+aTnwOJcC/efgye90dO10PsXpfAokF6fyZ9xBD1OJPGrygAKXeafadzxAP1NZdeNmMQWeb2pQePsM3cPtxev+JxQIeK45fqYa/Z5twIBaKQVizR/vWfcG/Repjz/6OQV04n35SQx0m89L17ArKaA7+9o4qB19MWtUcV0NBep38Yis/4xe+uqS6sk6CuxrCTBlD6OvbCWqVjdSoNvCY1HM+Lw49SuUFhIoMKYha6w1N68uKuZrbckU8BCd4x8Rise5bkgULKBR4IS1gV7xMnRpWf+hUSYFGi7BrPca9N7w0TfQzN1Xa3W15eXQfX+I377aSoGp5LSJga3osfdZXh/eUWCXxaUdj7XQjd5sUlb8SIFQssdIkD76slNLhkK7uX147Ny23WboVyhJOW96uPFkrBkRskW/O3nbQvwL9x4pTdnR5ooev1J90nWIAqekN/8uPI7eYGV/48k3bt01tu09G4wu1sC3bfonBSYO/hKyikQPiVNrMP5FgUukxkObL6ObNvWZ3JikwNGBgU18qehy1yXpvX8oIPSvLOxTJvrQqoZ9qrMUOGgfYNVQgF7l31d1nocKztp+j/OeovM8Oy9H56NCcd9k0uWX6MF/EuNXCVHh3y3HMf/X6CLewl+8F1EhIrX/oz0dXXDpuM5zMSpECfSbGbWh/1hqcoV3GRWomwv11T+hJ0YJMC0kqXBIObRObhh9PFxeNFuKCj7aeQ2rxtHPLyvSH1pNhVvnzpgsnUOnuCQE7lxHhdcrDByEFyb873VnSLdiNlCBZ4v1CL84emSg80v2JipUvRtdzLcW/aKbCVt6MxVSd56q4JNHD7O/8umEMhUCnaT6BLeje5yUGqrcSoXzDppZojroF57+GuLfQYUNsPaDpCG63fbVvQc1qDCzQqJAxgK9dMGVt3e1qPBj4NjkFnv0fA2duq+7qLCk4kTzbo95cb5TydUCKpRHemlZnkQf+uN6NlafCu57Cjd7hqK/eMAwazaiwsev4fnnLqKv+BksJWNCBclIlaLrCeh+Hy07fM2osPOzmE5ZBrrvOZfrLy2pkM5/zJZzF12oPdtYwIYKNawrc2MP0c/+ERo/aMuNR6F2h1Q5+t5v2TfvOlDh1LeDv/bUoq9+aa/29QgVRqfTdX1I6Eu8tEiablTYvI29Op2Dfvyvls2lo1QIdbKJbvyAXn3erp3tTQVv6xNnxvrRW3+n2EifoELJZ/e/ciPo9BM9pON+VFBoiRM58hdd4KOx+osAKpC+yT3K4E/83yUtG28tCKHCs5HE96zF6ANE4wmLM1RYdUfgptgq9CyjjyZZZ6lw9HF3r/lG9Hx62I2BSCoItHo3pKigPz6y5oNaFBWuUwa2tGmiP5hokLp4iQpErRLFdfrolBveZvTLVHBkCFceM0NP3iscvjKRCru3GrZW2KKXD9+/45nMfX6u+JKAO7r6Le3qZ6lUIH9MINj5ojsaNDJnMqhwz3P7rcen0R8OaH8wvsXtH5XBGb6L8/JwIbc7I4sKJyhzv5wT0OUExz58ukuFr+SGyOoM9OfByuwteVSYfnE2c1UOukyjyauw+9z9szr8wLkidKMvJrlvHlIhOGxhcnf5vPg7NkcsfUwFusVpr3116BbpvZZHSqiQsUqUU0JG3y50Zs3DMu7+sVrFWdOCXqb0qetXBRVyvIe8EjrRp0fXZEIVFRbQydemB9ADrRTME19x6/6Nz/LUGPoLrX+/2+q5e2PrQH7/DHpFdm6mbBMV8ifrkl2EkrBP/BZq+BOpAAXtSzqWoXOy1EhVFCqw0yIV7NeiC0jJHBRgcOd61WzrO3l0FSap2YpNhd6kvDVHVNFDSpTMslu487ireurzLvTDDw1rB9qo8DIgxe/EPvSY++Lyah3c/IQEnp2wQh9LS40738nd8/FFMjFO6F1OdV2UT1S48vOSs4Q3+pvh61uX91Eh+7OlemEAur3i8lC3ASp8vmFbsOsceg6PdsWjYe7+1+9/0hKL/tZ+7uvkd+6cShgf9E9BD1jlsVp/lAqL1GnJIlnouxXdda+Oc/NDq/Z+dB9d3X/K+d1vKljNerw3f4aezdgUvHGaW9+BJQNj1ei/lHsv+M9RwS9fLCWTgM7vt/1SFS8Nfhs/fGvIRmcGC1/kF6BB65ByxWgHerqsb7DlQhqoZfSp3uuflzdHa5dMERostF5najOCHjpbo9u/mAY7FOV4F07Py9twwert4jRwW2N0qF7gKu43nkXfzi6ngaI81TB8KbqvzOBzwkoaDOvztGisQe/buPv00rU0+OKt9m9cDt3i6wIVJxnuOTEllBfb0XsPan+8L0uDrEsNO87tQt+h9jF6RI57vk2Zjv4+dN4Tg+t3KdKgqJX9WeQgui3b8UXsFhqsG/bZ/M4JPQS2G7C30SDEr2nxA2/0z9e8SKvVaHBDc9v1sEB0n9u/9b120kBz7e8aswh0IbXeihJtGnwY9o7ZeBldUE1u/d/dNCD7U7/OpKL3+1dHGerSQOSU38S7bPSTNTkdyQY0CHyalVv5AP32N47S+300SPqa+/1WGfrTVvOgjQdoUPaJ/DGiFl3ZZGmpnzkNJgxc/Y+S0RkrVwxUWtFAllSSZ9aCnrH8iOSCQzSgSwme1epCf7WkW8vMjts/3U/G5YfQiW1Zh2440sDh9Zj4ynF0D+1rPp+caTDlvr5V5B96ksCLQCV3GlxwjN61YFEyzvtCseAQT24fGnrum5ZEL12c6lvnQ4PQsmWTkzLorN69Tgt9abBPo+3AhBJ6s7WEvrU/DZ7YzRpOaqAPyomszw6kwc3c5r4/uugR8hsn+kNokJZ2T4nHDF1f2r5xWxgN3j2qWCFshy7TXHgp/BwN7LwdiyQ90PVERaHpPA1SND/0yPqhC6VdGhGN5tY9JaZJLQx9jaLYbdtYGjC67pruj0F3v5GnlXuFBhsSws45J6OP3tFjDSXSoG/SySb0NroK38ARtWs0YF/KaEktQC+/cu1zRBoNTK/5zZSUoFuPaDoTr9PA2G8Hk12NrjD9kbXkNg08AreajBPQo4+f03bI5sY/9NhvNQd9/O+SzLwcGhiu/7PL4CP6Pv+bo1/zaLDT0eW5/wB6YtRiXY1CGqS/U2jPHkOfGQ2MPV/E3QPtuQWMWfRtEXWNpMfc81MkpXmFr/3v7z6MjC99RgNHDaaupiT6JE1AxrGcBj6TK5cGyKBTBP9C/gsaqMxB4iMl9AYjqt23KhosCE4uG9JAv6EX7K1RS4PXoZZxSnroGmWjvucbaNAszxT0N0OnWegfIzXRQC77sPpzO3QCw91pKYkGm75uXzLrgf6mz8zIgUoDzsZHN4390QuNeeTzGDS4c3AJ80Y4etqTsNlhNg2izj0sG7iE3kYso6m9pcFkfqPRrhT0JfsfpUS0c+edfP9yaha62CcXM0IHDYZ6c8KGC+edo0+dE+uiAWHo78p9ZeivZIYf2H7m7lUq7/GCWnRd+Zr9OX002Br875gABX2DgE7XwAANflL2rjr+Ft3xxFHf7V9p0F+66CyrG30jn/rPsB80MBN+mqj1FX3s3MPjjaPcuSgKtiiYRA+6WNshPEEDULdxF+ZN+d/jak7pW09xfzfBeLxREN25vSY3c5oGo3vh0zlRdPPIuxM9c1wvPyKnKY7++7CknvICOlibEpt+SaFvFV4dEyxABznPezWl0ug8ex/X1Cykg6aThFjgRvSaTNIwnygd/iTovVRVRO9/c2yp2RI63DU9WPtrK7q2e9KWDHE6/B3zWVupjl4lsQ0+LqdD5tvi1nM66DcvmBtvWkWHSj0Y0tNFN9zft//kWjqoxx+wE96Hflx0ZM9zGToU/R6VaTZF/3HKT2lGlg5W7Y4G2QfRR5c5iBnK02FlQHGjjx06ObXkS6IiHa4LCWapO6OLJvu9aNlCB8HPaawFR9FjC65FrNnOzeeeUNfmY+h7gsS1j6rRQdSp9UC+P3po+tjX4p10OBbamno6BL04f8v1MW06GFGy1E3OoqftqVXX2UMH+URztXUX0cWnc6lRutw8jC5JHo+d1w+n39pSDOigs3WhET0RnWN46P3S/dz8BDnZ309FX8grbW1/gA4p37aSL9xE79BVbswxp0MB6UGG0x30g5nn5Aes6KCl8rVWKx/9Zd6i6K2H6KBvuM5Qqgg9/sfbltN2dDio6q3w++m8fl7WvqbWkVv3FYM+756j59wVc+R3ocOABEWgphp9TuF0sqk7He7v28qb0zAvflhUleZJh4+U3Y6XiOiOIZT3733ooPxi1TJfOjrTrmRkvS8dWBuG5Wya0U+GvZz18adD9vqWW7vfoUd7fuYpCaTDv6Y/xxW60K8Wyf+dCOH66pjbEn3o+95eGtodxq3LjgwF3mH0uwFTzJhzdOBIWEuO/ER/LXy+mHqeOy+kz66fJtCXKolHLIumwy/rY4uap9E3OJUa2MfSofHlIkkCb+r/Tpez5825QofYP98jqoTQpcT5KvoT6XBYQtOoRAzd8MFTly3X6NDMK+JXKIHO8bWbC0qjw4665PG7q9AD+v+kV12ngxoMfLglg85/O02G5zYdlMK1N2bIoVcuWndvXzY3fudiaooy+qfaWyuv5tBh9qNLc7IqupjGv9iWPG5f9Z7TSdZEFxkzH1pVSIetTvJ81/agt56O0ncrokPvlpgtqQbo93VvpBY+psP4nsoXGSboQ5wrbd9K6HA2cODebUt004eHl6mV02HtQ60fOYfRc/X+6IW/oINQAyvrgdO8910TcKy+ig5fMzjFz9zRXz17cUmglg4LeI6uqfFBP3iecsO0gXvOu4ffiX7op+cK7qY2cffqKGnD22D09Y+MstuJdLCT7q/sCUcPnH1wTZpKhwfKcs/GLsyrux857CiDG8/g40X8cegNwfl2RWw6HJe5R1qRhL42TmPLzxY69/+g/IBSGnr36nOT6u10uC3pcVz3FrrBg4AXZzvoYOoUZmF3F70sR/xkQycddion3zhVgN5yxllK8DMdxPTJevHF6LF55i9N++iw0MnUquAZOjO12yJ1gA70rbtfN7xA561c8qFtmA6Xgutvdr1CT43uOLL2Bx0oH/+wZ1+j7/Lc/dZ9lA5la5b6r6Ogd1JV9R6Mc5/vkj+ly0K/s6ky/9tvOixu9nh7tBWd0UWeVp2mw8zdwTtXPqBPeR01OTNHh5BvH2lPP6O/l4tJesXLgE4XT5e2AXT/+E0EXgEG/LuZf/jfd/SPfw1+7VvIgDWa9aWK4+jRvZ0rkkQY8OXdh6DDf9GnH/3YxlnMgAipdbejedL+92WvgvauEGdAUELxplJB9Maz3vpOyxlQT7y//LMour4FcVfuSga0uKifFJdAn81KVupfw4DzPWc3G61CTyPXLFaSYcCi7jsHwmXQ2zUPDPrLMkCmu7H5qRx6i9nOynI5BnBOiDT2K6MTj0ecm9rMgHyhnOXrdqDLjqzU2LOFAWe07rHttNCv6S7si9rGgJzInWNpe9GHqvddIe5gAPVQzFmWIfreOvYGkZ0MWK79+LiYKXrHw7xnltoMmM5rrTc7iL7t3Uv1jN0McFy4KfKqHfrIwyVP3wEDwj/W3GM5z8tPaP5aaQMG/L3WqCLhiR54J+Ci+z5uvVIcNtifQE8MDX5/34QBdw48jLgbMC8ep4cKw2YMGJRrhi+h6PyFIr5brRgwdGX6xLZI9PHHt/ODbBiwrt14LjwGnUSy4LywZYBXYNcfQjw6xUxh/K8DA35XfHKWSEE/nyojCs4M8OQJUfK4gX5zWG1VjBsDMoteuZZlows+dltDOsqAbqHuWb589M+b88RFfBjA9P/Hb1eEHlE+PmdxggFu2/RPPypBd7pz6FOaHwM+3KRZ8L5AV9Ose9EWwIBPv+pT7V/Nyz9bJXp1CAOOJhnsLX2NXlGVo+9yhgFPHpw9JEJBp8LSqXtnGXAkPv6tNwu99tm5vP5IBtgGZdQ1taLvcejSU4xiQEduvbjsR3SdWPW2k5cYcM5qGyeqB5114azrs8sMEKsW+tsziH4g/XHnrwQGNEr4XTX6ia4uTLLSTGaAaGpMYtEE+m4l4suzqQwo9zg1vngG3WJv4fK6DAaQXhwin16Qjnsg6agP7y0G3HtpJ9S1EF3J6e8TwywG9KVkl+5fgl7/03vo8l0GRHntJ5UtR/+bfH8V7R4DHjlEGMusRa+NKNu7+D53X1111bgqiy49E29/8CG3XjLLk2c2o3tZbvbJeMTNv1Kjtd829GUv40+0P2VAFvFyTLcGOiO02GN1GQO0ha+ut9mNfoYWZ+lcwQB7gQlFsj76xonVqrkvGSBE683Za4K+ZMdRod4a7h7wiYx+YYn+ot6pWa6em8/+fs42W/RXHTxpx15z94C5XnLxEfQ/dRb7HhEY0JZXXil/FP30A72f38kMMBhysyg4jh7MbE3aTufOo4yf9cYAdBs/IZlgFgOSDGaa8kPRG181369oZoCixY58uUj0S+NqG6ZaGbBAU23kYQx6nqlCqs577j4fk32kkoBuOvVwIuIjA8yD5N6Wp6B3b6uwqO9mgOl9F99dN+fVV944m7eXAdfPjAW8uYPuvMyly+ALAwKa+fstCtDnNvySjBtigHN2FamjGF0kkU+X/I0BS6rUVx0rRWdHJrouGmHAceHM95OV6ANKl4PNfjHggq+Y8OW6eXluHDuXPMmA29VlD1YS0GcCqWHsPwxQYT2peERDFzy+6IT4LLffzsuq6TajH3371PIQDxPCstXXt71Dv/6pXPEGHxN4poQi/brRdauWT7ULMuGuS4OJ4Bf0/fHs6lWLmFCQGRWX+w395dlPgU5iTMgIPqW2+xc69YWe9J2lTFj29InV+z/oY14jr7okmPBDxK3rDE/G/04oGbRaL8UEGbPij1JC6NI18u/dVzOhSemZaZUY+o8nhYfzpZmwyv268hFJ9BNPPIl965mQeD8ygmcN+tfOI8rym7jv9Shpb+EGdL6jiZd8FJjAu+lLoPlmdH/Xb5yHSkyIefVkxeRW9OUT5ySGVZiwZL2QSq4G+lqjnSbKqkx4Prm8wnQ3OvGUVPBJdSbc6599OqWPfiNjTeoTTSZIX+tZ/cAEfWvz3vwfOky4njYwZWuFHrQvsmjbXibEJm03WWiH7r24JT9AjwmpKz6L1DijG+3bnVZqyIRTpLV6pzzRA4UrQsb2M2Fkh9DQJl/0+CBtUzVTJvAPN/F9DES3yiIsD7FgQv7Z0NSMMPSa7MNvnx9kwvdT+mkWF+blObk/buIQE4StTQUXxaFrxgeq7LRnwp7C59+JSejr8iZIoU5MeP/jnnFsOrrlTz/bShcmHHi0U8ooE70ktu3db3dunPY3HATvoRuHK1tqeXHz5t+3hPIA3abzWFXYMSakexnqXH2KrvcmQarKlwlPnr1/Z12Bfh+uHv/jz4TkBtLXVa/QzdxOlmgHMUGAb0dwz2t0hZ2bhsJPM+FDz65TjynobuxnK6rDuPkhLfx0ho1usGex1t9zTFgr9Ypg2D4vzgQtc50LTHDaEb5eogt97xtl27PRTLgddnSkpw+9Z7LXujqWCe+M7mo8/zovThVng79XuHPxy2wkbgy9KDBdQSeJCd5taeud/qCfZET/C7/GBKp+OnE7z/X/fYOJAq0qjQmOVwJ7hITQk79FJPy5zoQN41Yhn8TQ79Vd2KN9mwm72YciqiXRTxOU+8KymfDyaO7f62vQDwtGnn+Zw4SyMdufQbLo1bGnRKfymKBZl+V4UBH9wP5/VzULmeDAn7ZbdTt6s/lmvjNFTFDkcb4uronukvXF98Vjbn2HZLwm9qAvVt1JnihhwvDE7KP3hugGSyRWapQz4bPt6hP1pugXNcKdQl4wIW7XrZxCa/SYPM+08iom0FiZZtcc5uXtEOfV2Ctuv+02Cgx3Qw/YX9Oh2sCE6gfVYl4+6A/D1n0LaGKChPo6WWt/dPXeyZESIrdevOlPdU+jF0fpDv2gMMFzy+7y7RHoTea/36owmNDA3L1dNmZe/nWlnp9kM2Hpv0q55QnoHQez4x61MKGHzU4XTkXfGR5tNtzGhJJDxWf/3USfe0wQUOxgwsBNn47Ju+hve9zLfDqZ0FGgXP7z/ry8LbGxLvzEBHr0KoHhx+gLFK739/Vy94/GIXZ/OXrI2k0nNw4w4Uj9nGRvNfqOnul+92EmiEvvbvnciF56fKVN7nfu3j6wTaSHjJ6Xf7q8a4QJk3umX/Wy5vXJhSVC0uNMePT99eCXNvR93z+bO/1mwusDRclfO9FVOgYv3/7LhBoDztPRPvSPausr2meZ8K/J2eTP13n5/BLTupyXBa3lgS4LfqG/61oyZMPPghNT236I/kV/ItjwM1WIBaTgmqmVvDfw+9A4ZYi1iAWd/Jrn5Reiq1+NaBNbzAK/y4TzGkvQg2ovvjBdxgL5t/F/jVagP224FR8vyYKEhsJRO2n0nMgGS5IUC6bXgafvJvT1Hb8WCqxhQUndaeuLyugGNVsr9NexoNHX79WNHeg7BfwOXdzAAqmfxnlPtefFn1X8pXYTC6IWK/OTddEPu/X6Tiuw4FrSzp6e/ehNGhJ9WsosqN2cvPufBXrajIZl6FYWmOUckpC2RWdk7H9SrsoCh6LH3rud0Z90GsyNqLOAPfNyp7MnelaFvP5WLRYEm2XHXPBFX/v3a5jvLha07A83zw9CH7l8Le/hXhaYZgVlkMPRp3TE6vv1WLBkpNj+50V0wx9uTFkjFqz+ZpgpdQVdOCKO7WrMAs0dRx30rqE/qg0nZJuy4K/75hsnb6BXJ+588t6C2w9SlVa376B/q315eYU1C4jfVONJBegyyjOHbA6zYDS0Bn4/Qj9eNCOZYs+CKePQkM3l6BNiL0h0JxYcG7uk4FSNrqyyyU/YlQWx/4QdrjXOy3+HvsA+DxY4/1EQJpDRPw2KpUR7cePx4tWaYaGPKkaJ1R9jgTHpZb96Ozrb/1bktC8LDtwJED/VNa9ely0/aZ5iQdtR07rifvQBgzyNkCAWUNN9hwa+oc8FJkU+O83tk7xf6fLj6A+6hV9+C2PBzALBOu9p9OcOK/o3R7AgdyPB5+GCm//7tsdP+L0usCAwwCb1qzD63jzainvRLPh9sEVn+zJ0TcGTazpjWXBGxcczdCX6nXsJ4qviWTDoqbq4TgZdcs/GmUNJLOC1O6QlpIDum6v6LuUaC+Rcx3oObkXPTSstpKex4FyryuK7Guht7+/6LLzBAtZixeqvu9Htd02sNrzNgqdHBAd0DNGzzz1ruJDNAmuxwYxEU3RDF7p9TQ4LCn1Hmjqt0cUKDXsn81iwv14vRNURfVJyuduOQhZcNpu7H+eOLnpSm+VXxALHQ8YOncfQb/k+2V70mAVBkvrJGgHofC0nL/WVsGAdSczo2hn0Lrdgqkw5C3zyGZHD59GHml8tcHrBgrGP+Vr749D5vxiq3KjizldB2en7V+fVy1boAOcVC7rl1moIXEdndf2zF21gwZfEBWe8s9GX6ig57m/i5nnm8i5KPnr8hmjzaCILrmcyo1UeoQ+a86nVUrjzGDtlll6GLnCmaNEUnQUWHQqZf6vQP9kEvN3BZoFg6fkTRxvn1SXTJsWvhbt/ZGTqGGT0JB7LvQ/bWPBEU/m6Nht9g45LV897FoQtJPwsbEfnnY4IkO5kwY47i5nLu9GHJwrH7T6xgDmruD3uy7z++dh+Iq2XBd+3aq+Y+o7e4ibSQv/CghpVl4u+E+iyO/aoCA1z4+ev8f80g67Iczxc7zsL1HMDP9vy38J7Jzyh8twICwxn898xRdBrTO8MVPxiAW1xyCFjCfSWjXeERya5++oN3+Gm1ei0J7HSSn9ZECF6ugNk0ckZ1hs9Z7nzzhzqq1VET268IGbJw4bM0ZiQParosssMF3zjZUOGnVd8nRZ6oNj4zyt8bHjSXbJRTxfdJeFqm5wAG2K9Yg0I+9HdnRa/eC3IBr1GoaEDluhXbEKSXReyIYdkL9lsi+5vVOs6I8yGLpNMgqMLujHfgOJtETYwlv+Y6fNC/+jy85uGGBuoE6erA/zQoxTfPmxezIbKZzZzsyHom9XTnU8tZcOCRUXkpAh0M0slEVFxNuQ23lwlfQmd3/Rm6UMJNohm6I0+TUT/PdluZbScDYY6ZEv99Hl5kB0e/LyCDZzj5hrtmejC2bTw8yu58bwdu+eXh35ox1m+Nau5eVPsuC5QjK5Z/iu2cg0bDCTkluWUomt90+A9JM19XntCQqdqXl2K954eWccGc92Td9sa0NOqRXqS1rNBmfzoWQgZvX0wc7+iLBs2+rcekGSjr+Idvk/YyIZq2iK/inb0V8zJGXc5NnwP9ZOy70avWltvNifPhh0LZA7MfEHPq9C9nrmZDedndAXyfqCnHg1v26nEBs3RcWOTSfQ9I95LW5TZsOfYkeVjs+hfNwkZnFJhQ1//rRPZArdxXqh2/iLb2DAxTDM2FkPXK7JNe7CdDeXjK55NSKIfjuctMdjB7ZOIrNyCtfOe32H7pluNDQ5/zq4+vAldzte6+ZwGG6Y+tkkLbUGv+/vrnZQmG+7dYBdXq6FbP9B6V67FBlpqfOOpXej1O9exLXW4ddm50UPeAD3UP6/h6y42BA3WJXUdQD8j0VR0eQ8bfi48r3fLel78w5GJG4Gbh/GoizaO6FDJ9qrXZUOzwDeTpR7oX/ZUaTnps6EktfMO8zj6HT0N/t8G3DkaPhORHIiuH6tPTjNiwxfXj/2W4eiGtK5LW/ezQXb3lg7xKPRHrUI6VGM2zBCvOLRfQRfxrhnwOsAGN0MJzzsp6Kl7fl/lNWND+vi3P5630H+vrdpyx5wN+pKaa7bmoie8mWvSsmRD8Edx8tQD9C3jBJu3VmyIj77HQyhBP+gr+vGUNRtMtfgJaZXos4OsIyKH2NChfGS5Rz06WXlxW+FhNjy8TB3dQUL/OPpmv74dd+8FBTgKsNAnp0ZLO+3ZQFhyyvJ9G7rnXJpkuCMb3pwfYD/tQheuv39K8ggbfD/87Yr9gn7ot0JTiTMbvu6hhrv8QDc/KrXE1JXbP9Wh97Qm0ZPqAm2+uHHr4rHBVnIOXeeNekqUBxuOG3y9OSqQ+b8v2+ZCWOvJBpbXhDdbDN2j6utYpRf3HJZb07Pl6CLSH1ba+LCBGWPxJE0aPUJCSfPHMW6cF7o3hcqh1x1uM48/wQaeenUlJxV09+zOI5tOskFQ61StngZ6Ws4ez3o/NhzuKulS3IMuJDV+1PEUGy7ck0qWMEJfXD3nNBHABm8/Em3ODP0SOJmlBLFBS+nTza+H0N87C2koh7DhyKvosfdH0MVoPCuIp9lwjZ/9geKJ/mK30U+3M9x6dQ/a1JxEn/RpbpgOY4O2wg/HpyHosbyFCTfOssH/Gc9oXgT609paM9UINsiY6624fQl9v5WUED2SDRY0NjUlaV7eTj6r8r7ABo0J1uKEjHn1IsZ58kZx85Pq2nMpG52z+JZQdjQbjnrkGkUVoK/58zlv5yXu8wrlWhceo9/f6bGTE8sG26yXNeefo5eFrXjte5l7H53mMC+8QpcKmDESjGeD54l1QdFv0Pcylr3OTWBD/+aG+3F0dGndQzt3JXGfd24/nvQWXT+sMa/1KjcPzy7VpX9Ef7PJTijgGhtSCYP52X3oh8bFPRelssF576bVD76hb7s+9rIgjbs3Ku02lI+jy1f8EoAMNhRS8qsaZtBv80qavr/O7ZNFir0s/qz/PVLh4JXgm2wQFll495Moum3Lw1qx22yQc3AfHpNE1ypd+fVBJhsizx8mC0qj00/eXaqfzYZpHgGttXLoxqWaWz/eYcMLjxRtNRX0M4o9BqE53L29YSXDVAO97ELWwaX3uN8PVa/GvPagDzi72xXnseHG3bvFUUboaX6qhw0L2GBi1DV+1xy93k7YtOs+G36tyebUHkaXIHzRCnvAPefqlG6XM/pLZ9I68SI2GPNKGvB4owdTHs48KmbDgY7F7zb6o98sudJs9Jh7350R5jEJReer9MztfsIGtsammlPn0dXjdLzDS9hwzPeC8K04dIUmoU0SpWwIO7nra2MyergE9f3jMu5euhLm9v0GutnaC5f3PWeDi6jd8dU56K7Rm1Q+VXC/T+C3gMkD9MmhSmp4Jfe7yCt8Z3gJ+sjkTjeJKjYM1s3+La6cl3+znO+Pq9ngfqXApqsefU/yj6B9r7h1+XtVV4KMLu0iO9Jdy90nxh2NJmx0fxctr/B67r2ZX9Qe9Q69Z/vWZvFG7j7UXhtd8wn9eSiv5uPX3Htku3Xj5CD6C3ZJutEbNuwu8b2uNopu0r1zsIvA/e5qvTIX+AfdWT9DPYzEnccGykwpbzb2221C2DIKGxLjLVJ+CaMXxpCfF1O537GGmlU7xdFTcjIHDehs4OcrOHNuNbpPorZkJ4MNNZzntEZZ9NG+PM1QFhuqquIrhJXRo03eWi/hcM9p0NewUUNfYEvzetjMndP+fwfu7kLvK4wN0HvL/b+g8Hly2ABd9R1PcEcrt74XBLW1zdAjY3X8gtvZsPbztWXxh9AnTLa7ir5nw+O9dy52HEE3a+g2vt/BhvZLFnEqXuiM6H1Kez9yv7ezm2Sj/dCtlD342jvZcNB3re270+hgs/3tqW7u+Zyw9dvPo6elP81e+JkNlMdTUfFx6K2XOo7c62FDQWvN2b5k9A31pZI6fWzYsqFnkd7Ned6h+qa5n/sd6Ja4IycHfYmfva/vABuGXNtH5x6gVy7euIh/iDsvg/3Gbs/QQw5fy80e5np9m2bTS/Tt7ZlbNb6x4c59Sp1CI/oJRYPnjO9sGLDt6rxKQVf+HKvq/ZMbT5L69QkO+uJ0t8K5ETY4/f3a59KBbtjCFr85xoa4g5sYlB70GI23odvGuffa3lnznV/R15ofayZNsKH+2A2fgl/ow48T5Nx+s8H19JLVkjPo9gNaAVNTbNDhv+IVy3/nfz+aHFCW8pd7D5bKHJgSRc9S2/Zt8wwbSJKTpJPL0aWOBUk3znL33mul7h5p9LhXmvsc/rEh36TzmqM8+qbGCO9RHg5c3KnS0bIVvU4Azscv4IDHUp06C030p6sirm7g58Azx427aYD+OVE1o0qAA+UZCw+ZGKO3Dh9JOyjEgXRtYUGKFXram+nLQws5YN1gaH3AAb2yUOR01CIOsLM6tBju6H7rEhxWiXKAozNcdfAEesDLEI1SMQ58FkpvbQ9CF+WlLDRZwoGzx8cTXc+hr7x0qeXTUg50N6p0DsagL2AUXA8T58C2Uy6U4CR0greC5VJJDrjT7lvxXEfv/yDM83A5B3Zv2RicfAc96oXJQ5DigFPvxPZ1hehwsW9/+0oO7Ni7J6HkKbrD6/Yu/9Uc+Be78oJ+JfoNgQ1+gms5wPhXuKS9Ht2quXbsjjQHLnwT2u1HRj/x7NEpDRkOvLriyC/AQXdXGOylr+cAr1jdsbvv0bXqAiw9ZTmQ8uTgce0e9Nhp/bLpjRwIyVQXbBuel3+vI6LpchyI/hcLIb/QC6OqnZUUOODI77VccgY9tNWxsHEzt3/oI5cr+O/+70/6db7YK3GgPtT4pr0YetlOe+kRZW6e1yUazC5HDzF7ZnpZhQO/37cn5a9DDyvWDVy3jQPjNebBpgrorBbB5IrtHLjcLPJ7fBv6SlOePLMdHO4eVl2Zq4V+KU3pSa8aBwQbP7aZ6aE3K8eUnNXgwNJcFbVpE3TrW0JFyzQ5MNior/LIGr3bvuL2Qy0OnJHZRTjihD78PT4KdDhw+InG9BJP9JPt0W5tu7h963SQ9eYk+mjGnZ1+ezggK/VE79xp9PT77Xz8wIF3RB9rtfPoPFe2kjN1OXDeIpf3exy6X3VOjKo+B/ZePW358Bp6QfXmnWQDbj6dBXd73UKfFiB1uxhxQPNmIGnjPXS7VWEXJ/ZxYJdI22hvEbpqoPbKJGMO/LxsXXO/DD0pfuED2QMcGGkT2HS8Bn22s2dLlSkH4msXb9n6Bv3eEKHI0pwDeTOJLeP0eecrlEh/seBAj1X26trWeflcmn0lwooDCUEuvJe70DPXJwyLW3PPXz562Xpg3vmsUIMiGw4EDwU9lRlB/37DNR0OcyD89oLTP6bm5eGHXkerLQcu0es+1PHmYD9Yrll50p4DC+WIPSmL0MVVh8wWOHL3hp5mgqcEerdwUdgtJw5UVm9v1l6LPmFln7XVmTvv8pzqpXLo1yPGn79x4YCIlKbhkAp65oJzBEc3DpyWivJv2onuYz9EH3HnQOgzhnYOoH8d202LO8qBD167CiOM0Z/sC25Y68WB5ZWD5U4H0WtI8Y/LvDmwSWbcY7cjesVQ5DXjYxy4LxlRvu4oOkHG/HjXcQ6QhHPuLziJ/vTjuHaILwcsT57THgxBr0wL4l3kx90z97edYkXO+93ypvocf27+V3fsexmHvrG0P0QjgAMxyrcb8q6hf5luXU8L5OZTPfFj8i30K/xpTW7B3PvoKjMz4h76+l1SzpMhHEiOj5r2LUa3WHL0e2IoB4TPvJ47Uo6+fyQoZEMYBxxySwosX6GTzAzHXoRzYJ+pz3cDwrzz0996m53jwNoqoffaTPRtqhuaP0dw70H5Eh/VdvQjGQrqZ85zwJt+7rbSJ/QCxf4k0YscEO9K9JcbQr/mbPfxXhT3/MTZLxvG0Ldnn5PVjOGA79yPBeun0TUOWrrSL3FAbRt8XrIgF+MfYKW5x3Hz/KUvLUUQvYT699XkZW4+y8+sEBdB3+PJ6EyM54BXvuDJjCXo5uuMJtYncuBxfW66lCS6mYcr34skDkQsPXw1ayW69u1VC02TORCZtcNhvTR6pnIg36drHJDyNP59fwP6laijEyGpHDjue99nizz64wU/OoXTOXDwmX1xuRK6xorFtXczuPncFli/axv6N9nGNLUbHJjqmS18o4YufY3flXyTu8+bxNwttNAfNrRucL7N3Q+Eku/vdqP/W7vjw2gmB251jpl56qGvEJZKjMvmwPOZ/vMjRuiRQ1Gqa+5y75dlt2IiD6Dvkw1gluRw50t4pZOIJbqMVLe74T0OnGCECGTazHsvZfrXd3ncPbavNlrRHv1Ao/pJvwIOgCNPS9UR9Oe7VvTyFnJg+qvZ5AF3dIsZP6sbDzjQ+7H020cv9Eue2s+VijhAF9n74tQJdKvW04vri7nnH+ax4TuFvrtkvavNYw4Epgs13QxGP2KtWTjwhPv9dtdDUCUM3XZdZe+5Eu49aLpeuikC3TXojtTSUg4o+1sKOUah73gyoFdQxgHP9rk3o7HosirpHlrPOUA9vMc2IQFdyOpOOL2CA08rVtVsvIZuGcx32a2SO0eNeb9q09F//HqdMP6SA3dh4J/9LXS/re8vXanm7o3Jie7xbPTu8wan177igFFRZ3rqPfRe3X9Oz2o5ILbyyZpthehPWcLahvUccOYNPsMoRp+MdRN918C9TzfsfXCyBF2sjqfN9zUH9FSlH4k+RydyBq7/a+J+7w2ui3nyEv3qagmzdAIH/mO6vsOpbMMAgKMlWzKjsiIkKSRxK1kpSqISlUoZRWYaFCIjlYyIhCIyskJSQmRzdlYS2atkhPrev777/Pu7zvWcZ9zrbVk8vNWsHP3IlN/cpto2GNnwKXfqI3pcjuKTt5/b4BRb8PLoGnT3TIEdpvVtIGqetkWzgSlud6tVfWsg+u/bbYrdLeg9ZfeMPJvaQKVfYymAgm7lJ1bN3tIGsVdrUxW+oG/uYqgltBL1X3RiPakLXU6xJnEricgvh/LL13rRS95/Xagkt8FH9j2PpAfQP49KHbKktkFk1N3wphF06up78UO0NhhOTzlxdZIp3x3WddxgEPN2R+KS9G/05NMN/HztbaD86a5n6zxTHdgTr5Pa0QZq81cqb/5FX2t754x6VxuMsl/sU1yWjPVzdei1uu42uBDg09G+Cp015kXIyR5i7v1dmB7KhS5tQY2Y+NYG/EPyxlr86MLRQqH+34m8+PH9w6ggummG/XXB/jbgcZ/mTBJDJ/VU2r38Qcxp/A5bzDegbw+T19UabIMBvUMyK2XQI2ejBJqHiPMGl0y+lUeP91jRdXqkDYqsXke6bkEPPuSd8Gu0DZaUDTjkVJn2/2XgcNB4G6wLvGvVrY7+3tpiSWSyDcob7lyL0ULXlX379NUUUd+uHnA300UX8BdS1/nVBnLzw3tW66Nrvbevap0m8uKdy48qY3Rt2ZcGZ2faYL/S0Gk/U/SdbIwPv2fbYD7vfJ7WEfTPSb+U784T/aLgF33OCl3RaO6R2EIbHIxKprw5ybQf/e/jWYvEvFp0M93zDHrH1zyAv8Q+vWMOqdmjW5whuuY/Iq93/Gn57Yg+yj9ReZaVBEGGxbLFLuhRmsd+/2YjgRJ752EfD/S2DfESd5eTwLbBy2K3D3oeZ76W2EoSVH6P3sLiy/R7vUSzrFUk8E827Kr2Rz/Bc/y4zmoSHDePPxsajL4yr/dYKwcJwvckVBwKRxe8omFqx0WC0WLraeGH6CcfWWhOc5OgeeHH36/R6JonNcSCeEkgcfhAz8t49GjerklhfhLozsc9dktCH5/cW56xhjjv9m457efoBnr2flprSXBKSy6CPQN9q/E+jSZBEtBNAhoo2ejN+9r7bIVJIJ3A0pOcj97gLXt3UoQEJmeyG1yK0c9KS0v6i5FguCk2Qucd07nutuYKiJNgzZpmeZ6P6FwDCjteSJDgjLVtfPcn9KN+W3PUN5DgN8Xye249esqDDonPG0ngkv5pmX8L+tRxpYDjUiSYnCtZsKCg14lu6B6WJu5tTKdB/gv6Xp485RuyJBB/cd5tqQt9weOrB7cc8V6gNUXqRZcNS3/9VJ4EjxhNhhkD6L73VvZuVSABJUTR69Yo+v6SefaPiiRwdLS7cWwK/Zyhr6z5FhJMR9w6sW0GXcnrocZ3ZRLcWx3Fx7nAFLd+KuChQoLqocyn/f/QRZ8e271ClQR5u8nLPy5P+d8rOFdtjdlOAhrXOr3E1ejybJrCcmok0LF7cPwaD7rT25HpYnUSnNu7x+iYALruJfHPRjtJAK+1eDVE0HvNPz/4okl41r0cIQl0sdRRU0ctEhjt0N80K8m0TnQQ28JuEhTruXoxNqGrn370KkyHiEOyeNJbRfTLu/j2i+uSIOTLsWeJKuh9x/90Ze0hwZix6rXbaugbp00vaOuRoEqwWMl+FzrocP5o2keCdMXfxSaA3umsdMLWgARvvP+sU92HvrUwt2rckATe3ynHRI3RxwwjpfyMSfD9aORlVlN0e+s2L14TEtgX6NoMm6NfknSsSDpAgvauMRmKFdPvG4//22pKgojC9E/vTzLdT0Ti9gozEmisvQGZZ9CvPla1OXSYBH9pVyNj7NGFxIVu9JiT4Crl1fsAJ/R8Y/0HrhYkyPgmVX3FFf3i4fI4FksSLLWOpJz2RJ+0u/74gRUJDrmttT50Dd03+0b4xuPEeSMzR3X9mO7t1HvP1ydI4LBUZqUaiH72pbaF7kkSzPhYJsiEMK1fOCvXakMCvubgt8IR6D/zhyZPnSJBwjubfM5HTOu08OVOnCbBxIofASyP0evVHe387EhQfkF560wCurbgLw7ecySQT9xXOJqMfjzm5cun54m8sFUX6EtDN+kP1lK+QIK9dvwHOl+htypFVJVfJNax/m5LfY2+ObZE96AjUa/+lJq0FKErmi4v6HQigeBYypr6t0zxfP2ymPMlEqR9fVXw6QP6NsNpr4XLJEi81qtcWY0e2x75OdSVBNvOWQR+qGOKHxtDXjE3EswDb2F5M1M8z/KYZLiT4FfOxvfvyEzrt/y4vtOTBK5mMSnvGOgDnI3JtV7EucpvninvQo8nl72zvEoC5Yd9f973oq8+UNDY70PUzzOMyx8H0EPjc9s8rpNgd5V9efUo+tT37IZlN4m4NUj88XkKPePAq7eRvkTd8wkZbppBT5t7/lTyFgleDe6sIy+gX+B87P36Ngm2S5T6t7OkYh1Ov60PASR4mCgs3LuCySdt2ZsDSfB67EzQMAd6GPuWipNBJKiLeNH6ixfdlm/IeSSYBF7/Jn4vrUUv3PyA51oI8V5lpjPsYuhHPTe8YA8jQdTulra1G9BjBaJUYsNJ0DPne1dSBv2MzMhr2QgSOJ1zEtu6GV2qVnJT4X0SXJ9MDtZWRqeIqT3Y+5AEzzhVWg9sR/+rLTXRGkmC95LS0yd3opeY/th7KooEKxPu/rqkjZ7q6Bs2Fk2CFd8uNfvtRR/KGfh8PZaoMxY9gZGG6IY7NyysjiNBjdWYUNoB9EUpKanH8UR/N04JfHsY/XvomPamBCLfA7maWyzRj4T5mhYmEnXVTvNXvzX6LiAd2ZtEgl271KcXT6PzfOw/2PqMmGds+drW2qO3KrzZbZtCgqOS1JAtTuj8MbobR1NJwNP6cL2hK/roOv85nxckCH5z5P4ZT/SVVO9Pq9JJcF9CvvPGNfToL+uDo1+SQN9EfEWcH/qJPR7a0pkkWB2gzfEmED1J2nPw9Sui/66IGyGHoGvHrr+rk028C9/ujJ8RTPGQf0m8MYfos1+3662JYlon7NSL469JcOTVvVLVOPQ2jSmpgTwSzL605LJ4iq7WuCHao4B4F84ELa9UpriyGVxgLSLuYbmTYdxLdO9/hlb335DA8kPr1vJspnir0UoXLyGB+8X26W/56InVFSMZpSS4LBcds6oEPYubIqNRRoInkjyCyuXoKQVu5tXvSHDXx9z1aCX6yc9xHoffk4DdzOXlzVr0fTYGYd0fSCD14Up5WiO6aYBnjNNHov702ee2tqH/2y8TM1dJxD/V2neBhm5XbRZ6p5oEh1/aKMh1ogv8m3ZbU0MCzcs+BUe+oe/k4D+UVEuCx+rvRG//QPeffiapVEeCb9zbbXJH0Lc2Jg+U1JOgfmn4ZvckOmcSX4p+I1HHuKeu88ygO18bPkRqIoGprrkVLKDvcFKatm0h+v7jdXxXWJ7/7y03yWEjrSTgX3siLXUF+q73ncJXSSRYmysmRudAX9TQf7ycQsyxdo5OnHzosjOruR9Sib4sYxmvK4hutUzeS4JOAsnB4TQvMfQShwRyBoOYW56qPczegP5P9ZysejvxLmp6x/tl0N0v3nCq7CDB+tiN/yQU0LvX9L4w7SL6VFa7v9VW9MRdkZT2bhIsnvDte7gD/eFAyKx9DwlaA0VkmjTR1SVreH59I74jVr/ZsxrQ/cf1xPy+k4Ct9qy2wT50VksWMc5+EjjHKAsHGqM32cxxx/4gwWkz6ZZKU/RAzs0zUoNE/NeYnmezQLc4d5+UM0T0x8byL3uPo/9xlk/dNUICVtWbSoG26GWbpy7UjJLg2sc4m5qz6Bee/thoPk6CO/s2XlrtgH6qeUVz1wTx7rclrA9eRr/7zsTFYYq4N62ncpHu6LZORct//yRB6fZcEv0qelcnRNyaJuZbOZuT633RY9YMcnLNkGC8rbD6fAD6M+5XN2NnSfBvuJIz5y56cvOd71LzJBiRi9o2ew+98ainds4fEnBrqanvecT0vyleYZqLJOgl54uGP0ZfXxTUVL1E5HWSaCc9kWn/YSnLDv0jgZ6B102ZVPTVMrVbOljI4OlKXbrykukdb06Z2LOR4dlHPZuKbPTKR+ttp5aRYbS96QlvAfqR8ybnbqwgw+MTt0pPlaDvGfewXbWKDBydF968LkfPVHh8IJKdDNWzDyLZqpjiTShfWYKDDDZ67KZHP6MLZ31Y/pKTDNGH2wdfNqHzDpQ3q3KTYU++wNklEtO7f8wIL+chw+GfFe/MGejzO27pGPGRgfRk/PfLLnQ5LZ0+Ej9xLrUMHpbv6D2NPTdtBMjwZd/SymOD6E97z3EOriXDb+PZ7tdj6M4eteFuQmTIrkqN4fiFTvdZwbYkTIbgLbzK5+fQWYbXOQWLkmEDi8GLiiWmfCxb9Zl/HRnk8ywWxZe9+N8/9n0SSRAng0OB4fZr7OgHrY/YbFpPhvdeivsZ3Ohha7OjX28gg8BFrj0aAuimK1o/7pIkg/PUjHCsCPpfydJv1VJkaPeZbZ6VQL9ne/63qQwZAs+L2R+XRvfMaVtkyJIhSdC5q0wevWL5wqydHBlcBud2bFBGX2bR/WNUngz7NZucA7ajn464WuelQIao078DB3ei+72oSWJRIsO7gps3TXXQn4R+cgjdQoZ9d9wsi/TQvZTd5NZuJcNrmR5eCWOm9W/XMRJViH12kzLumKJruH++KadKhpeLljITR9BP/XISyttOhlufrvodP45eN/k6ZZcaGRg39pVV26L/OR4lVa1Ohktna+gq59DnxAViDu4kw+piDmqiA7q1nMISTZMM3vkSBZwu6HvsaVantcgQdo/T7ZoHuk3N2rSh3WTYeLOHf9gHfWB774CbDhmEC15GnvBDfxavJbEIZDC3dZ1uCET/1i9hcGcPGd5m6mnohKLfZgmy49Ejg/ZHZeu8++ijFFe32H1k+FSrfVo2Gl3gYIfnRgMy6H27YRAfj37VvNI5w5AMmVvmuPmeoW9ulrJSNSZDX13Zm6AX6KUv53eU7SfDUAtZ928m+uF6vZX7DpAh3fJAltdrpncX+1vfeJAMq9y2zU8UodNuyQYcNSPDvOp9Occy9Nrvb5S7D5HhdPoVjf4KpvjcnNtkb04G2fY++TM16Ek7OU9PHCGDNHl6oasBve13bb/3UTKox2a/tm5D32/Qa8tiRQYV+XWG7TSmvOOxarh7jAw9gcYfjneip6hKK/KfIMOKjH2i7d/Q5WP0fOOsyXD2nshR6wGmeBAvqpa0IUOGXJtb1yh6crrH3wxbMgQ4XnM7/RPdV8xPUfU0GR7qb7Tom0VPt2wzeXuGDOdeNAs7LKE7aF88tfcsGe66PywfZ0v737Nzde3rzxHxGeOh78mOTrtnddrcngzJUwG5i9zoX4szDrZfIIP9+YaFQAF0I+4dynYOZBBssVTgEUWXufSLddiRDNPsqlqP16Nzvun7fMWZDNuHLypLyzD9vmZ5wPwlMvw0WLU8dzP6huuHVG67EHE4KfJOayv67vzqVvYrZJAszLCs24GuZ2R77oEb0e9sPpGtdqGHioqNCHsQeVTovX0A0H+x/j6X5EmG2huNnt766IOdI22bvMmwzaclnt0E/cKdhW05V8kwciE8Jf4Q+ih14x21a2TwWs57b4sl+oOXxxreXSeDxqqzJz5ao/+gJS3fd5OoP7JRHJZn0Nfv+qXS4Eu8F39O4og9el+m2SHzW8T9X3sn4O+M7seab/flNhnkuBqcRd3Q8wSFL54OIPLUpf9lnjf6l/fXTw8EEvV2v/Dn/TfRKeROk8tBZODRda7v80cXUNRQ+B1MvNfERK7fXfT78cEL10PI8GQ6++q6CPTG2foPbGHEXDGUJ1PyCL1X+K9XSDjRL86tKjwah36+RUKSL4IMm+dKN00/Rb/7c9P7mPtkKNlBvfHoOfqshZCpxEMirtLOvdmeiT5fN9iaGknUVYY7mZKLbiXzxEAhigych3goXkXozuoKua+jydD5AEpEy9DFSJEcGrFkMFwncKu8Ap30ue1Y+WPi/p2jFO1qmN535HucXjwZdvxtfruqEb2Do6ap7gmRv4bNW3La0GtnPKbNEsnA8i4x8CgdfcJ3jJv2lLiHRqMPS53od9yUxE4+I+al/vautF507WfKor3JRNxeOdVzaBD9KG2S42Iqcc+MbzULY+gpvS4TY8/JoHzz0sP0X+jXI1/WuKeRoaCCW9dinmmf+bEP5tPJ4MfSTGL9hz7Du+ugXwYZBmJKjV8vT//fV3mFLy5/RQbujo7npzjQA16HPQ3NIvJlo24fLx+6f+iO7Xw5xJxQOrXqoyB6SnPA2+hcMpRNLfC6r0PnNfTasS6PmLvWOi7KSqIHl7MnP8sng7GDYdOXTej7FzRYNhWSIXZ7kn+EErpSHYv5qyIyXCi8Ib5PFT1o4lSMSjEZTDaPxP/RQN+rbt5UVEKGnMbfS3na6NRzlJldb8nwkZqu76iHrrP3+5qKMjJ4XOVykzZGXx19XVK/nAwx/coBXaboJtLxUvXviflkv5jPYwv03HwtIbMKMiy1fTlicQLdht1mkfyRDIUpVwX4T6OvHfpDOVZFhuc9rCXN59HFRNc866om9pN1a889J3S9k0k2djVkuCfN8vrAFfRJzyTugVoyrDsdtozbG33FZt7XTnVEHvls2d18A335zpF9k/VkWOs/dfyBP/qPcyqNHo1EHwnrPXnkLrr2lQ79+SYiHlI49YUj0DetH8q72UKG/jbvNZ2P0PcpWfKxtZFBd4Pqp+Q49AbrDWeCSGRwj9C3uZiE7uO85zkHhQwvNpS3b32B/lii9EsElQwNLanac5norMoBrAJ0MoQ8Xh708TXTfZ5MWBfLIOqA63BB2Bv09+dZ5de1k0Fi/+lay3fo19lzNyV1kGFc8EqFVCW6OWuKsHQXGfQr5JImatHbuOh/0rqJPFW9f7a8CX3dwP5WhR4yuJnnc4eT0Wkmf2JzvpFh+bKEROsvTPc58+2w6nfiu0zaSkDpKzpH8t+loj4yHHkwfnmpDz1q5cEEzR9k4Je69LplmCneeuqUygfIYJvTRU+ZRP80eCVXd4gMvqtM+r1m0Kvoe2Sqh4l6uPiBYbLIlF/26mGGo2T4cMwwX5LtJdaHAwf66seI76y+kStzq9BHdG9tNZ0g5s/zJcKt3OiLC83ObZNkUEssTn0pgP59u1qCxU8yPDCeFvQXRe95mltO/0V838n6XD65Af3Nz11tJ34T36fDh7I1ZNGL+8i0rhkyWO4PIgkooldt9m4+PUeGiVnp7kkVdCMvyZLv88T36bMdrc3q6Kq+LY/sF4h6NV75Mns3Ou/vm2eGFslwNeTLhXt70X/c2yzp/JfoU2sDuC8boVsuNJPG/5HhvEp9nJkpesCEo9cVVgrwXSvlUrVAlxL/wznNRgGDMGt7wRPobqo+j7yWU+Dcn7dp86fQ4Xsf1/wKClw60dvUfR69u1vz6vVVFFil1dlR7YSuRvWgLrFT4Lp8QeurK+j5npEytzgo8ObVlaxH3ujmLvfPs3FRwHi/lMuNm+iJrhcfB3JT4FRQi4h9APpzObHylbwUaOwOyDgUgs6zN5l8l48CLC3Gkrvvo/9z/tPBsYYCy1sUb8lHo2sclaKFC1Ag4siOGsEn6HNpgpU8ghT41nTp17Jk9LU8bUkPhCgw+Kp31a809H61wy5rRCggfSxx2fcs9ON1kSpRohQo0nz5g5yP3ucW+V1wHQUOFXLnfSpBD+k8cDdWnAL75Rl2Je/Rybnv14uup0D4T/7FV9VMcRvdlxa/gQKJzp9uPKtnigeNso3iksS5Rhf7olvRL+yG8EQpCqz7VLkjnMa0/oFLQ+tlKHBbX9I5oJMp3nj37nwmS4HUUqmw673oV5XeXpWUo8CIQ9tDj0H0USNSZoo8BWyfaNy6PI6+nTO4WVqBAtH3T1k6TKPXi1C/P1ekQH7gkbXn/6C/Eyodlt1CAa8iibdnWDL+94SMrd/TlCmw4fhnw1Mr0UM91ZrkVCgQlWpTbsOFvnt97cuX2yig8mlAzGYNer/BN8/N2ynwa9j1tI0I+qHIWzsyd1DgpM6yCNv16M0pyX0K6hTw6X+ZeloGXVtsT9ArDQqMszknn1VA54+3FlXSpEB7kWXwBRV0zaqxxKxdFJgQdT/qrI6+V31aYMtuCjgbNnC67UbXeOR0PVubAmuPOGRe3Yte5nOIsgUooGhqte2WEfqvu0nrc3SJdzdIenbXFP3xqaMnlPdS4IGBydxDC/SpJ5eDc/QowH/0/M6EE+h1HQMvlPUpcNVz9nT6afSb78qLcgwokJbO6VZgjz7XPvpG2YgCXIOvnCqc0bPJVzJyjIl339p7sNkNPXGv8T1lEwq8di8R6bqKfrzKxS7nAAXM03Y2jvqiz09+k1c2pcBAkfPFpUD0zfYJPdlmRH24ZzvGE4YuVP4kZMthCiitFbGWfIgedL9TOtucAruUU/N2xKJXeVnnKllQYLps9ZRRIno6p6BS1lEKQPxRUdtUpvv8sSJe0YqobykPFDwy0MOTFOYzjxF5mlktE5aL/q/Jz1jhBAXKAxdWpRYxOTtbWIY1EQ//dChlZejSA9nl8jYUOD7wOIT6Ef3hX79v6bYUqGcTkJ+sRV/s85jZdJoCrkLFuZzN6MlbQxZfnKHA396IjfIUpjh3L/0lc5YCMbLPr+m3o5/Yx9aZeo6oq7Es78/2oGeony6SsqdAwUT2sP8PpvftavFLvkCBqq9FLKmj6GcbD2ptdCDyQkiKpfon0/rRtIGnjhSI010c7J9Df15vf0fCmdjPctMy9n/oI0t/BBIuUUBhlaS30orM//1Uxf1HYi4UYBvyFT/MiV6WIrk8zpUCeoZXXnnxo5uqZZ8XdqPAtTJWmURh9NFVW0ui3SmQ0qEZVC2BvpSRuiDgSdTzXdKkUWl018xVKpFeFGg+X7tKSAH9U6zVUb6rFPg+tFVOVwV9JcsDpwgfou+Y2qs4qaM3uma7cV2ngKGQh3TsbnQt7yzH0BtEfa6yY6ney7TOs5Aj7L4UcGjTqp0yQnf03rMlyI8Cl9+yX91ohq4a0jq77DYFOn6R1hw6ynQ/p7cX3PanwLuJ1Nhb1uiDd+1P/QugQKj4nZX5Z9Dlwu0Xb9yhgFi/36m+C+i3preG/gmiQMbrxBThy+jXTT6wX71LAVLvQIuJB/o2Mf6rv0OI+txxYeDWNfT9Q5IMtzAKmMxuGnpzC/2P7rj8ZDgxJ0QoU8eCmN7lpZvjpQgK/JwJfiV7Dz395auE4fsU8L6929n2EXpLTfSHCw8psP7GUeHHcejdIVvIfZHEubZ1ZpGS0Ou8Xehnoigw9+OLEk8aOr/QscbuaApk9ljF7s9C/zz0Pc86lgIXbU6NBuejB3vz3mU8psCXx/OKNSXoV/XopkfjKTBWv9VyxQd0izaNlaQnFJiR43TS/4Ru/XxLjmkiBR72RDkGNaDbQZFBw1MKVErSLD63McWhTEOL4TMKtK5lbOZkoF+hORlXJ1Pg7NfUIdNu9A7qowLdVKJupO6NetSHzvsceMqfU0Dfr3zzl2H0xx+djmumEXXvnkTmhin0pJy10UXpRD72OwlemEVvGlb/uC2DAiJxeU65S0z5+7u5KzuTmPdKZ7Pmlr3639cd/DK8OYvoO4cNv+zlQD/haj74IpsCtQ4Zk/f40Jc61WmSuRQoXin364sQugdfQGHiawqs3FzXs0kCvSJ4e4BoPgUamh6Xekij23/Ytze6gOj7409vVm1GD95eMMVXRAG7W31KAiroVaeuPwx/Q9QBT7fas+rohz/ESbKXUIDy7vDBot3ok40cKQGlFPgDYe9X6TE5W8Oaf28psNQvt87aGF2xg+Z+7R3RFx6qnM01Q+dtUfj0u5yoS9I5Mcst0cOtqlZe+UCBbZ4ZRSdOoiuPJewcrSDi7ZRiRZ4dOit74YkLlRS4Ubz7zWoH9IwNKy71VlFA88CPWDsXpnO9Cnex+USBmmGV8+880QslDe0YNRRgPym7XvgG+oZ5Ff0jnykgfr6x0s0f3TbdQKS5jvi+qFU+0nIX/XtyYIdRAwUCdI+2KN1Hf2QzEFHVSIEDoUYaYdHov02dVHWaKdB7gj9s+An6mmGumpIWCkSeK6nfn4J+J+Wz8fY2CkweNZh59RLdZyS+PJtEgU9fqrh5ctGTNW5JylMoIBCryX+lCH3PvIdnCpUCQttes1DL0FVSPEvF6RTQMVTp1KxE/5TqOxbDoICuZ2Vq0mf06cvh/PztFJgyd7Fa2YKu7vFENqyDyEcPmL1ERY+Ufrl5RRcFVjhqBdA60J+P5kj4dRNzYIXTAvSi39PJYp3/SvTZf4xTmYPo/4ITqG7fKKCcHfZacAJdR+NG3GgvkS/7w8du/0YXemt40L6PmOePfBeaWEDvv7kw+bWfAnl745Rs2LJwnxOPAo8PEP303hvlRnb0hOvc7ORBYv9pehK7edGXRZy7fmCYAox5o7ksQfRTkdHdn0aI+vCr+cN6cXTSr4RtMEaB3Lku94dS6HwS3h4l4xS45+y7dsVmdLOrG9O3TVLgUXZJss9WdHuX6LrMKWLeEIpeN6GGnuFE6pD+RfSpv+v8z+9GX0EjdyVME/2o5Ci1cy/6hFBMi+AMsc+o/YJHjdEvxQjmRcxS4EMn295mM/S170z9V81ToPBLkLWRJfrKCW29W38o0NfcfabqJPpU9NdfcwsUUF1ccxTOogsKq0RdWaJAUqKi2jsHdF2GoszwXwpYjKiw7XJFr9NpSbVjoUKsqOK7Ei/0xFwhgQ5WKpCPSZ3deRN9+/2/V44so0IYdf1sSQD6/T0BFQ3LqeBYIn91Vyj6foXkv3orqbBlk9GPdw/Q/bIslN6tosJ7uLNHNxZ9UCHeeMdqKqyVGgypTkQvX3XZMouDCiY/rn4wfo7e+rzRXIaLCo+TobclE933bL5OAjcV9p/f99MyDz3n+TqxtbxUqNW5P9FdjN77eXl/GB8VwjXk2y+8RxdScUxatoYKO44K509Vo49pGhlfFyDOG3fO+0YD+m39J70/11JhmlVEgZ3EdD95p5wchaiQeVezPoqBbtH58Ps3YSp4S7dZSX1FT5FWNjkuSgWb6h+k1/3oX/pUUlrFqOB63F9LdxR96EbMoKE4FVobXz1s/YluYmS9/oMEFYqXO1HPzKPzp17XU99ABYfvtSun/6E3D/6yyt5IhT2G9bLBK7P/93yPCmsZKSJOOK6pruNGd03uMn0iTYUfy74qvRZAN68z3LZGljjvClZBAzF0JYMFtpBNxL11Dwx3bkQ/e2W66p8cEQ/HnuR4yKEPp2718NpMBWMt6dPcyuh66hkCYwpUyDcK/pe2A/32LZuUs0pUyIKW8D1a6HvajTa2b6HCRDsbe9ce9ML4C/cObSXO27b5io8RepzIm6EaFSo4UU0+C5mh78pUUdNWpYJqjCt30VF0rxdkl4LtxLu8T9K1OMm0/qkncZvVqDA/3XNm2g7955bA/CR1KmR0al2JdkAvPhf6VnAnFSzWllzWcEVffywzL0yTCl/VbU60e6E3WffEsmpRQapDdYfvTfTZSvlL3rupwBaluygViG7f47dtTJsKByfv5X8ORb+8srfPDqgwdk3KyuUh+mSQSTBDlwq5b1cMCz1GP1dQImK6lwqXVMHpw1P0uk7ZuCo9KkydprVffMF0D0fus2vqU4H7I2mnQBa6/sUp+xwDKgTUad15n4+u4GhUKG1EBc4xkQrHUvS0lw8mHxtT4Xz8lSHhCvQgt5p1PCZU2Ln7IGtNDbqi0A+1gANUUNIsWOXZhO7/bURn7iAV2n9lLspQ0NmlKOqXzKhAqtfqobaj18g8keg9RIUnIpfyg7+h26lr/7I0p0LadgP3XYPoLKlvihuOUMH2crPU+Di6zZtlTrpHqSAjzP0x5TfT+mUbuYssqaB7dbXpsUX0tX9XP918jArj9Po6nmU5eJ+1ZRJPjxP14eqxHTWr0RPsVMPXWFPheWzpPV8+9GMijkNBJ6nQ5vKbqiGMzqJ6Sm3Bhgot6gLcPyXQdea4XV1OEXV+vdj2bBl0kwK3uO+nqfDJgt/IQRF9NDMkz8qOCjrLWA5sUkX322RW0nCWWMdsTKdvJ/qA84dsOE/83rpnYyqgP62mPSywp8JHvZ4pOwP0TPeH5+QuUsFFajpP+iD6iw8jsk8ciPjhkj7TfwS9aOwblceJuGcBj3/pJ9Af7nX18HemgpneeLjTGfRAtkesM5eo8PfF49UqF9FtrxjcdHAh6gZc8/x9Gf0eKWig05UKPfzxrWWe6OwOh3QPuVHBUuSfWMANdDPvpOAqdyo0m7y2MAlADwDXcnVPou88K7y5NhTdaNmHbxleVGhaKRDT/QCdtOzutPhVKkQ6khIzYtHHbtf+vu9D/L5gPsrzKfrPcp9+tutU0Ku5f33vC/RPs/FVnjeoEHP7yWG+LPTvl+UeDN6kwt6P0sJf89EP260zsfajQtLJrY05peiv+Nynm25R4cumT65+FehCJQrhuv5E3RsfWX64Ft0iRmdNQQAVuvwy70o3o6cNZgbJ3qGC5rNVizMUprgacRqKDaLCozUcpxo60O933tzFcZcKR6NL8p71oofNdPrcCKFCaq/otNcQ+kXPO+njoVSIeL1jk+kk+v4o96rT4VQYes1rtGkWnX4vtYl0j8jfh3nH/y0x3UMCf82++0T9Wdho/WV5Lvad+dKsNw+I+STq3IFCTvSG7se35SOJ+rzkv+XBGnTRO5n74h9RgUry/+ssij4lM/KbM5oKQjmOH/ZvRD85Yxl9M4YKZ6X3uG6WQ1+2bVhqIpYKq6q4+Fcro/NzJT89HUeFdaKU5KEd6GbvvdlJ8VS4lp0o1aCFzunreFovgQp1y1wfZe9FV77tmVaYSAUiTKYfGKMrLEW1yyZRgTJhpO95CH2l3KfFmGdUqPQ+GXTCimn/29m42VOI+p8WWaxri37I0ojTJ5UK2kNTDLnz6E+qHs0OPadC8qtbw7zO6GE5PW0n0oh4PqI/OueGPm+sGN+QToWlPQbdvT7oBz+7HNqdQYXj1JCKpltM61hnTmdlEvOJvdCj0mD03Wr0IIksKvCa/DyaFoHuH/RzZUQ2FQ6QpVdHRaNz35rz+JtDxLlJXpZ/ArqEeX/r5ddE/Cw903VLRQ9WKhL7mkeFUMX5artM9Dydc+ZmBVTQEqrQtMhj2mfxuPeHQirMzi08NShBT/l0KGzrG6LPchRMa35A54gNCk8qpsJ6v5FdyjXozsfDr/OWUmFz4Ksr0k3oK3bZHvN7SwXPffOPRSnoqefnpCbKqLDmR/trvg70JHarDttyom+GWpay96KPm3rdbn5P1I1DbvmsQ+hc58wFdSqocNdsR8LCBDqv+0BM9kei/iSmeM3MoMembVspUUW84/6qPT+X0Lvkt5wNr6YCh2qzrzfb6/89Q5qWvfCJmNPmRI/OrEA3q5D/4VhLBa8/tameq9E/yklytX8m9q/R4fibC93Nv2yDcT2RLzmWmZ586J5zvzaWNBD155i23YwA+qW8Gl65JmJuV4mM9BZGD6ZsHY1upkK90jGteTH0kLuKb5a3EvvcG3ny+nr0ml9Fl9zbiHOd05tZkkRX2N2wppdEBUX/y+y3ZdHlgi+8OEQhPEzo0fLN6M3zQbIfqFTY7qQTc1cJ/V2J7KMtdCoYcA3xc6ugrx+E8ScMKmhYiq6M3I5e/KpNnaOdyAtlkpuwBjpjE935agcVBH2EjiXuQr9848CDH51UqBIaKpLWQe9v3pJs0U30ox8HwjP3oB/W9U6q/EoFiZp9Hdv00ff/lAlT+Ubcz31ySqkROsvK7eee9hL7X7fYu+cA+raERAWuPiqw6n58Um+Grk493e3TT9x/m2zTkSPoo61X/QZ+UCE6Rcm7yxKdlPON++ggFeT8GXEXTqBP3osNqRyiAr+OktpPG/Te8JifW0eo8CZZwfjmGXR6XbtR4igxz3jRqOzn0R/ZnQ7nGKfCC3/VjqiL6Bc9pMu9J6iQHbbnuKQz+m7xjR19k1QYOLLyUI4LeriX+Y/DP6nw+knABy13dPukN93vfxHxIPkuvc4L3TbfqFrxNxUMn+WzH7uGXlC/PPbxDFGfSQ69P26ib1w2YLlijgqirn07vG6js3qNLHObp0LCFlmWlXfQtbR5nnb/ocKp98r7Yu6iW7iZyJosEnWMvIxVLhzdVDkprniJCnSxdPWS+0xxFbJiQfofMVfsWddv/AhdJvGa8QMWGlRO2XF1xqDP+P0JXGSlwS7yrazL8eivjW9nX1xGg+ow70+sT5n2yc9ZRVlOgx/vja2ik9HFxh590l1Jgz7uP2c2v2B6l1/CRVmraNAmHNZf/hK9SvPRQ5HVNLjm8++beRZT/FNZrQM5aODVdNxqMBd9e8cp/klOGkhkJej7FqB7nMootOamQfir+qy1xeiKXu37anlokHjqR/irt+gdqhMfVfloMH38Z//e9+hJL78rPuWnwc/NU8XtH9Hlhwv8VwvQoPhkP5v7J/Sy1SdrPNbSQPFmWw1nHVOdEWXMfBWkwZhAybIXjeg9m2XWmgjT4Fz6k1KdVvT2A7vXvxGhQV6Z7yCDjJ4eKS4oKUaDN6SzD9zp6K6cH+fC1tFAyPlgHk8H+kCNbN2MOA2UV+iYZHajW1MMgs6sp4G46E5bg16mOr93o0rjBhq83agz3NuPrr8xp0ZdkgYJkeYTfkPoGtdHjZOlaCD23fuSxBi68Bl6KacMDXQCX58rm0QX+uoo5CVLA3r/X8rxafTfrKmnejbRwMHz/Pu5WXQO2vXo/fI0UHv6Y+PjBXTdC1PFhZtpsKMucFHjH7rgx3816xVpIGWz9zCDLe9/fzqeUnlXiQZn30tu8FmJfu0PLfPnFhpsMpO1F+NAHxmP9Tu5lQaGLmab3nGjv6d+061RocHpGymnbPnRD5e8Ht+qSoOKto1rWAXRU5JYQuK20+DS50bt5yLoO6OaeJepEfssftlrKI6+/alAgLM6DU78fMMyugHd+FNzL1WDBjsb52MfSKNX8C0ogyYNUqLcX6rJoXsHR114uYsGsnGbVDsU0Du3xobz76YBv6yg2m1l9D+8/xKvadPg1O09eXKq6Oe2fH7yXYeoD9PZac1q6Gb3xu8c0KVBUtVJQS9N9Os7Lp8s2kMDbpVDSxLa6LpyehvW69GA6hNqW6OLfs/BoTloHw08u7k1Xfah9/3tdJjQp4FoXGe4iBG6xXDclJUhDZJ7545XmqBHKSecrzAi8nrq3DNnM3RG09dP8vtpYPxH6rTwEfS/dafXPDShQZyyWlylJfoFmXUm8wdosOV9osnlE+jC3RyuZ0xpcIBm6y1my/S+s4q368xosJh8Tbz2DLrSlWu+2w7ToNf41y6P80zxtv/nhThzGhyfridJOqDT/O9rs1rQwP7Tsr4WZ3RlUdN/F48S+diddNnXFX2RUyG71ZIGJaeS3bZ4oB85vsFw5zEij85zTHZ6o3/5u7kp6TgNAjm6foRfR2+b14dV1jS4cGGdlbYf+gpDl8TLJ4n4iazVHfdH7+lNHqDa0MD16ffUpCD0M3VfJLRP0SAj8cqtw6HoQjNrdJ+fpsGXp+60ZRHoiueMTTntiDqWM/LizUP0Ezw+Rm5naRBL7xh3iGaKz/FE5S/naOAvaZAnEYc+8a+ARdeeBusjlcbaEtDLdhW/T7tAg49KD1OCnqG7PE69yO1AgzM/Pdu0nqMX83v+dXck6tu3Tp+pdHTSU7lb7U7E/c/UPkl/xRRvGsVjupdokKqoqWGbyxQ/5A2G6ZeJfuetekCwgKk+ONiEc7sS520tam98g94/4VTufoUGQ/KfegPfMv3exrD9ixsNWK/YndN+j34yfaQXPIg6H3v/1MxHpryosqC/8CT6S5ApJfcT+o4032JObxr0b06udKhDv7HvfMCVqzTguBCiINPEVGcil2vRfWjwV2o119dWdKOAY927r9OAS1fqQjwF/TOHzaWUGzRY95SmZclAf76OZ3CVLw0KxeRD13Sim7+8YHrJjwYsD0XMW76id6Scf0a6RYPPXzIehX9H/7a4rFvDn4i3hi7T/QNM9TxdZ1ViALFPzTcB7CNM8fmIX5ztDg2EZ3eo1o6js+dfFb8QRIO5NusTQT/RRX66sDcGE3kRq7SoP8O0vt6vryohRN9ckyG88g96TfTflOhQGqzhIGfVLKEfoN87/CeMBt/2ZZUFs+bjPDmTMGJ7jwYDd9T3Ga9Av/RN7kpVBA14ItwNOFejX7+j0Cv3gOiP685XNnGhf255phP+kIjbEa6SB3zoPNlBQZORRF974yxnsRY9ajWj1CKKBnI7gvhERNA12h4wSqKJOilq7d65Dt19IqtXPJYGe0XHzJI3oB8xk2fcekzUw+/aafbS6H4df0v64oj9y5p5Kcmhb/NVumP0hAZKoVIVPxXQtSWzd2clEPWtrDSgVBl9bc6Nr7xPifVPCX28pYpewB17yT2JBiGiu64aqaMXyc/9oD0j+kL4pgy+XegHBp6Y7EqhAZ9l15Ev2uh623yfJKbSYPva01dT9qDPjsXTWF7Q4Ovp10LO+ujnl48vnk2jwT9yi7K6MbqQtTtPbToNRJZVVLAcRN/J2MSpkEHMybf9GxsOod85s/xXeCYNOL+KmMdaoFt1rqqZeEXMz5mBh88eQ0/csiXQPJu4B9fa+q0n0b9oum4pyiHqUklv+eIpdOX+xo/Cr4l9cjAU6s+imwvAnmt5NKgfecn/+AL6g/TKV535xHt1WbrZO6G3BR5hhUIaHLP9fkDNhSl+7o3tSS6iAWPULHm5O/pYavilZcU00Fr21IXihR6aoRR4voQ4l2hL8fNr6G/86u7UltLAKK3Px9MX3WTVKbfNZUTdEO8pMvBnivONQ8Zh72iwebTSSSSIKa6yznKNldNgMDDiyXAIumZIfanpBxocMd+nX34PXSxW1Px1BZHv5f0XHzxEzy08QOWvpMGwssfKc9HozhWn9NyriHtbPSWxMw7d8rFpAqWaBu9f2+RyJaILign2qNXQwDug7O23Z+jfpHJ5YmtpoPGVU7f4Ofr9+yLyc59pULr+ENx7iR62+6DS8XoamMSHlJzNQu9cYbzubQPRv9JLX+16jS5Zu+q3WBMNXOK/iawpZHpf6zul15tpsLuKjWW4GH0+sfxiZwsNQl3Xn6ksY7rni1ls2m002DeutvvJB/SF6IPBiSQadN7Z/9CjCn37v4SZJTIxR/nanDatRU++GXPIlkqDZeKuGfIN6PzDatHvaTRYlRzgvKwFfUrcu3o9gwbtB+IyuklMdWn8aLfvFxrcOJl/+i0NPUStube7nbhnjtaHMe3ofPUdbTqdxPdjxK/d7t3oSf7XXj3tIvJ0w3q7Q73oj9XSXP5208By/BCr8g+m+yk5sd62h/j9lntiXMPo53ofFZd/I+rVakr28Bg6S/BBLYnvNKDlbCqrm2K6h+sBGTf6aOBsELQ34zd6dtQ2ts5+Yk6b+aUXMo++Pu2IvtYAMVd/d/3gsIQeE9DvFj9IzOdb/xbuZy3434Hle+j8EA2yZhNklFagT40b3js2QgOBE6Y8PKvROaT4rhWPEt8vrgJuk1zokU4ah4XGaVBzeMyMzIe+MbF0jecEMV8JdKW/WYs+ERz5njxJfP/WfveJF0H/vFhuofqTBiv82Gp8xdHXNWpQH/yiwQaDXeFnN6IPf1qAiWkayMuHNxrJoJNKV0QfnCHm/y3zQcry6DzehymvZon52dq/bK0Suntj+9LqeeI+38g7LmxFd7ybyH/xDw2qdMYie7ejs/hE89YsEPXqZ6tavQY61en9rPQSEYeNFPN8LfTNymvrb/8l6kDt/FA8oLeFRwZ9/UeD3C+6CwF66AYWalu0WenwbCYz6JIhevihufJ4Njps5dMMtzJBtzpI3zm3jA62gqOce83QewSbE4+uoEPaz+oVW44w3YMnYzR/JR2mH1b7iFihH1H7KcvHTocX7SMXlluj128UNr60mg7ReVqtk7boEqx6lvUcdGCZL8zvskOPT7pyUI6LDpkPjvE22KPLfnqqHMhNh6Kjcj9KHNH37KqZ7+GhwycpKY30y0zxVvs9R5uPDn0txmwxbujbt/86GM9PhyjVJMM7XuhCBpO0mTV0+CAhvcrzGnpiDc34yFo61J+h6Z73ZTrv9ZS0XEE6XG8snT7qj26rYDbGKUwHkc3NUoZB6L5xDImLInQw0F3bsDMUXSBi185qUTpIMsLHFCKYvMl198Z1xHsV7gyViETnW+etcEOcDmejRZL5YtB1dxuzMSTosHHXFtXl8egXp3urtm+gg4qtt/ZcIvrvlbou9zfSofntbOVoMvqg+snlI5J0SFyZW/ntBXqfwfYAA2niXX4n7qZnoEvPV4wky9DBVfOTSlM2+k1eVp0lWTq03ZJNqspDtzeZ8DkmRwexqx+C3xYx5fWl4KQCeSIe6h4N55Wi12h8yuFRoEOKWGptRjn6Nofn6Q6KdAjmH1+f8hFdpHJjaLUSHWLNPCfjP6H/ZVW33KBM3KeH5u6oOiYf+Mp5bSsdVolrsUU0oTNUxV5RVOiw59u1vXfb0L8+69m+VZUOF6znF/2p6JyTymkh2+lgv6F4m+8X9KEuFra+HXS496Gwx6cLPVvO3FBHnQ6PG36u9vrGVK9C13s91qBDauuVbLd+9Gcfz0T83EmHzcdVG1yG0HeHCj84sIsOPGM7zl4aQ49N0rqepkXEOf81T6cpprr3rs6MRZvYvzEbm+NvpnhLLOc+oUOHiLXN7A7z6GF/1hCvRIcrk10hF5fQL9z/pM+9hw4dVqp3LrIW/u82gm0f7PfS4V9lw5+LK9DL9LdJV+gRdSY9c9hhNfqVL99cRPXpMOrdYuHEjb46pPuFmwEdxp/v0rzEj/6aS/pTgyEd+BNGY10E0RXFXzXJGNPB+nO/q5soOuOy24eb+4l3j9xU7SmBXlXmEU8zocORU7kPfSTR75Rm2249SIfeyFtfbsqi260X5bprSgebe/FP/DejKz/LT+kxo0Nc1hI9eAu6/bSnlOZhom6YZEbc24Yu22ob9tCcqBtVzz48UkMXGbzYNXSEiAeHb47xmuhxk/dF9h6lw8WHzg+StdEfJ7bsjrekg2/YXpWMPejPU6T3/7SiA/3F2f15+uhD+cG6+4/T4aNia3epMfrO27MbUk7Q4fv5u2OVB9HnPlwenLemg1Z8uFfjYfQdkkNxh23osIGry4d2FD3S0m5Hhi0dYNFntuc4+nF+WjHLaaKevDw7MWKD7symK3PsDB1iDsSfmT2Dbt7+xCfXjg60jetNl9mjKxn3F688R4fz1hOFvI7oxX+Fv9qcJ+5/K0+M+GV0q8ytE4X2dJBtvja12Q2dY0FukPMike/n1Wo1vNAvJi3W2TkQfWqDjrDBNfQ3+hlRpY508N4U/c3CF73+yWYjPmc6ZCXt2nTOH32DmU+f/SU6XMtR7ncPQidxRTmUX6aDv/uV9YGhTO9425Mu4EqHAq5lpKgI9ObjosqOV+hwMPr7vxeR6I57rl+qcKNDj6zAy+IYdJa+mGghDzqYUB7W18Uz7XP0QpqzJx0qC05d6HyKnrhyOKnSiw5llBu+Eyno4x0i/iJX6cCuP8S7LB2dLjR54LIPsQ7vi3XCr9BXnXFiqb5GBzPt18mKuUy/PxuUIHqDDg5kjhTdAvRdn3dLutykAxe1UNyyGL1WPTSi2pcOgXtz+J3L0HOsHPtEbxH1R3T2lv8H9DoSQ8rlNh0KLe47xlWhh5i1GVf708Fn1Kv5dS3TPj3NjosG0kGHlp31uQF9esj08OU7dKhavmPFtxamPLJo2FYVRAehi6sZ82R0QeuKP8J36XB/bIusAAOdnLI5yzmEDrV+yaNKnejibWwGH0Pp8HLlOWXDHqb6E2r4WTCcDicveA6f6UPf4/FL1fEeUScDqRtvDqLnbmMLeh9B9H3twLbHo0zr2Lt8XPOADi4utxcLJ9E73qj32z+kQ+N0Y3LbNPpk9ZGpt5F0YHth/3F8Dj1+e2U/TxQd+i1MrbmWmPb/4malXTTRv2gBLgqsRf/7wbLbwW9iiPicX/nXaAV6rnD9Do7HdGgIoa+8uBr9jLV5vU0cUVcP/w4J5kaXlhMyyounwxuR08Hp/OhW6/hzlicQ80aK8L9aQXQWhs6iVSIRV3nrpgZF0asX41VfPaUDY5mzDcd69GF5ycN/k4i5yJJ9n5IU+rGFRqvDyXTIPjP53HQTevSaeIPnKcTvu6RvXVFAp3AFSsym0sH5Rgo1ShmdGhzUafyCqAOTTi9KVNEFJBMDEtKI/jLoN9Gpjh7lWbVmIp0OczzdBaxa6PxSv0P2ZNAhgDvo5yZA76zcMvQokw58od6vDuihD/66qPLjFR3+yOV3uxmikw+lnNqZTdxDsFp4nAk6yYPqFZpDBz9D1sIKM/SqP0uenbl0WGAVtBw8gi53U9hGOY8Oj8xc3fiOoYvHSCjdyqdDy6c1qzVPol/4yvm9rYDoU7MLonan0S/97LotXUSHYx6KL8LOoe+8eJ/d8w0dPtc9yyy6iH7lyzrvmmI6KPpbK/Q4o1/s9m0SLqWDsKy1DOcVdF7eQk6Ht8T/aiQ9VvdEn2Ar3va2jA5btOSC7XzQTQ8HAGc5HXJyf05E3ESff7BW7eR7Otjxs5LLbqO7HrNfk/2BDn+/HFYZusN0n9oe9KUKIg5v9a0SDkXvpWkGmlbSofxqyXH9CPTlpfkiSVVEndzRJOsRib7Xpz1qopoOTySlnFNj0A2ysuaghg7nst4okePR7X7I7HtQS4cw7dALy5LQA8t0vHs+00FNK0F8Ryr6/g+/H6rUE+dlHzU5n47eF6gfdauBDl4rfX7HvELXStrs29pIB73IvaJ1ueifnyWabWwm4nalUfFCAXr+ukR21xbiO/Hd3RblEvTKZOmMD63E/Mm+3M7uHbp9tdI2XhIdtmuXXo6pQM9ZW/jMlkwH+cz03/XV6Ieki2azKXTQTmie+fcZPeWWovoSlQ5Xbba4qTUx+bs1Jw/Q6cCqVnXBqQ19zt7e4QmDmAMv3KcnU9G7eaRsh78Q9U3t4UfGF3QjvT27NDuI+a27VpavG70i8sNScCcdqp+qLjfqRb8R9vglrYsOQTmtJ2/9YIq3stpdsl/poLsveWvpMHpZrlGhew8dLB+l3vg5zpTvv4UEK7/RYX8jTU/pF9P6Yso2fN/pQBbfdcd+Fn1ZZki4bR/x/ZvbqJu8gH5HRTY1q58OStn3vDr/oedpLj7784PIi103Noksf4PxcIgjyGiQDuI+sYcs2NHXs5qYxwzRwTOke/oBFzoLtXRF3zAdqMGHBJr50OmW5s+2jdJhdcToK05B9Pt8fFJ+Y3SYz897byyKXh42Hto4TocSjiSTuxLoCYeH2kUn6XAzrcC8VhKdY2SB/8IUHV5EjZNXbkKP6JFUKfxJ1PMe0xYDBXTTt5ZqrNN02PWIvC9YGV2SJUbS9Dcd1uRf3/FZFf2qZsd0/Azxfapr8HS1BrrLmGTuwCxRH7RV/U200FtSzh/aMU98j6Tr9NwD9JmvyYxbf4g5xNuxpFUPfUGBZNi0QMyfaYUca43Qw1f/TBRdooORnDjd6gA6J+tS+/m/dJgYTZJIOITuFjP+N+8fMc/363T3WKA7mlau/svCgIKlWZFNx9GNst0XjNkY0CRR3+Rkg/5b/S85ehkD1JUKF/POoAu72Dz6tpwBu7mKXsydRx9ghGtuWcmAnU8bPoMjuuVscM3VVQwo/DBzPvgy+siB/buq2RlgbKJ2s8UN/Yd1SxQvBwNyRIJ4RLzRxdLW0E5wMqB0cUD0zHV0gWzevy+4GGBZdzwp0w99ceoj1xQ3AyIOtj+dDkBP/i3DtpuXAcFHL4rAXfQ7O3d0B/ExwDuTjSs0HL1q18izNn4GlKx56UN9gC53Q3+/uAAD3hy2OiMZzZQXN3Ta7dcyYFqOt+pSHPqn0rZDeYIMEDjS/PRtIlNeFPzJXhBiQM29R9OrUtDLBgun9EUYQL5vU300jWmftIV1D0QZIMmjyPM8kylP/9QrtYsx4PnbP20/c9C1yRIyMuIMcNjXwLu3AP1R5wTrZQkGPLB6UvuwGD3+0e6a4vUMME10mP9Whp7i8c+VdSMDJst2vFCtQM9Z2M5mIsmAesuF+oBqdPvnVJ8oKeJdeN45Uj+jiw5/pXdJM4DrlmegXBNTvhuaisvJEu9isEnkWhtTvmiIG7puYoDzfKNsE5Up39X0j5XKEb7lYvbGdvTxkmozts0MsPKYyfHoRt+tHbPFRIEBf096KdT1oqtrFU09UiTO6/5jw/oB9HpFiYROJQZo6urfdx9BfxBcpySrzIBa44dX6ybQK2qKUi9tJc4lUNexYRrd8EwXyxsVBiiKj5R4zaEXNGvt+7uNAea9v3mbF5neK6jxksF2BpR9HeiRZS3+3xv+ht6M2MGAorAPir4r0Edz3NxpasQ7nrg+SVuN3srlZ7ZegwF55aJbVXjQT0S84rffyQBf6biBkDXoghm/SrM1GeA5OyvaJ4S+jWRu9Ps/tusDLsfvAfw+yRYJUcqeZSQz60RklKgQKikjM5HVQFZIyihkJ2VmREgZZZdZyX3dZlYpkl1GPffzfD/P7/T6P4/Xy+v9/X7cct3nOudc5+qtEnoHut3s31j20GXXk/v2VYk360Z8jGwqe3yLQQ1X99Oso9oDQn60lD3N/J5Ten+V8N6iE2vfTvYLLZyX6Vlq+rzTFic6yF4y9UPw+AEq0bqy6ZCaXWS/Ptdn6f6BKjH04JL707uXG4f472NyrTTr/cCOBzctZP8VNb1+p8EqcXnU+uGt+8uudzLtwgJrldj7d6jm3VJ2Q1t9q6QhKvG36HHcG2vZQ/Ktz1QcphnPhZ22WdnIvuuPU/Whw1Ui5MGo4uiRshsXDRocaqMScy37ZGmPln1rr+qeWbYq0bvqx/bTxsneefB+L0M7lXjg5l5yy0X2O2squ0waqRL1V0UONHGX/c2Mbp1jR2n2mdgtlTdOLTf+k9rlFdirxLjS4QOLZsheTXkW1MVRJTolXi129JLdZ8CImotHq4SH9td2F+aXu/5qCxcmj1GJt9WfZxgtlj1v58gbFZ1UYnfR8p8r/GUf76n6bT1OJVY8U23NXS57tLqGfsh4lfArfHd0xGrZj7q/1n80QSUWDIrpc3ad7F+mT/jXwEVz/SX1rRtvlP2ci9edCa6aedi6a9rKzbI/OWzgv2/i//3v/ruVHyH72wtOem/dVGJjFx/huFP2RsUtw9q5q4Ru181myXvLXf8j3y+zPVQi/+OYXa2jZe9/crTF6cma7nlledgh2cv+nJz2Y4pKfDiS/rzkmOxhzdf6WkxTieMJSxKmnJJ9xfrH85Z6avaf4OtVHp6VvfGebSNTpqvErjZxj/okym5/44Ze5Zkq0X+lmf7hS7InzZyYNHSWSkSG22bVT5X9+A/nYSGzNfutfVnNlTdlr3c/MfnBHJVocMT60uc02Xc6+zSoN1cl5q1vluf6oNz1V17tONZbJUqeBYfczSy3jsxzF0XOU4meG1Yd7aOSfeHwHcufzVeJ/UuqDTz2TPbp8VvmNF2gEvFBDR0b58j++OEjS4+Fmv1z64nnG97JPq+mfcnBRZp17Z+e8/eD7JG3am7PXawSvg1mu3kVyu4x85+Bia9KxPQMHfvqa7lxHtd85Ww/lah0tvMth1+yz/w5/8EJf5W4ON7u9I0/snc8/KnilwCVeP89t75FhQtynT4KMei6TCV22v3+clxbdt1sG/2Fy1XiYYdVQ5tXl/1WozbF5wJVwt8hsNE2HdmD/upfKV6huf7ln91r6sl+/43BrN6rNPuP9/1WK/RlTzcz+eu/WiWOvTR0/2Uou9Ngq/mX1mieU6sy9L2ayl66ctK90iDNPlnn2+B3LWX/MXypjuU6lbjS1a/QpZ3sbUrDzVes1zwv9k7VfdxB9tb/DvRNDVaJKr/jj43oIrvF4QOmlUJUYv4nt6s3u8vu4BZWZrVRJRoaz7Sz7C27/sopF1aHqkRTkwdjLvaX/dFc47E3wjTzJD4ku5uV7CFrE1SVN6vEAfv9D08Okf1z23aW1ltUos6+qoNMbWV3PekdErRV8706XzU7NEr2t/7Bl26Ga/aTiFvbWo6RfVCBd2aVbSqRPbHxov3jZX8/oel96+2a+9Uw8b7xRNk/tt0cF7RDJVRD9u7f5SF7s5Mp825GavalhbcLDDxlrzjiuGGVXSrRr0X3UztmyZ7kant48G6VuHQv51NDb9nb99tjuGaPShR+Sz+4fYHsL6x3zru+V3OO0vmS1dBX9jrZ/eMq7decwzfbLduxVPZTg4PuDYxSiX9FOfsNVso+vmhWxooDmvPk7sN9dwXJPsmsIOlqtEq0qLjf3niD7BfdytaXHVSJNWtvvNwXVu77qqL79o9VCett+rktwmX/8DUzM+CQZv/ftMkzdofsHapvGJl0WCWOZpu5m+yR/bDP9ZMlR1Riyo3vmSeiys3/YP/vPY9pnqfnlCtdY2W/GXvMeNFxlbCt+LxV4lHZ3ZuOMj0bpxKPi/9oiZOyt7WdYvz1hOb95VPXCTfOyD589ZtvnU+pxNaOK01sL8ie3OTOiTmnVcJT661PZnK5cZ6va3csXiXcz4zt4Zwi+5ass4/yzqjEqtVP5r25Ibvl7tMWbRJUYt+5yW1mp8me1kQraPI5zXlmbbHjj/uyh52OOrf/vEoEddn6e1mm7DFHNqQ/v6D5vh/NDKuryu0DzknXDS9q3hc+3o/f+kz2ZUYdDjglqURFj5nXm+TI/look8OTVUInoMLIo+9kzzK4XP3RJZUwmhrq0CO/3Hr593irzhWVeDGo7oPUQtlthZHW8Kua/VAEXR/5rdw87xIyOihFJbYtzjd//kv2462bb0hNVQnzGn0MZ/2Vfe/c7JjSa5rzjN5Cv5IKifL8MOnQwd43VMLtSITjusqyW9mErV10UyUOv46MaVhD9iaB6+3ib2nm4cNl3odqy35g1OaST7c18ydwwNme9WTfr3NgXfs0lehS9sL7dkPZY6ue/zMlXXNedRwdO95I9sLQdIf9dzXnw1V7Rxc0k33mN/XGp/c062LTRf+lrWW/vPrVcf0HKvFsSUxjXRPZLbc8OWn/UCU69nLpFt1J9r8zk7aFPNLsVzef3ujRVfZ417XutzJUIsqg+cO0nrI/vtBDVytLJa61aO/o1lf24LTrB/o+1uxjD4vsvlvKHveqg8HibM17UJ2F19YPlj196Eyf0080+9jN+FNNh8tuMmrJ6QKVSox4Fqt/zk72FCuHzNZqlUjpYvfD1lH2Pt7fVG5PNc/T2Bjbt06yFzd3So18plnv9Y8aBbjIXjtmSVjmc818Gztuan132YcMdrTUeakSW0Rcm7ip5e6v3ess61ea81h0zCTrmbLfq9F8RGCOSkwe2b/eKy/Zu92scSTxtUp00F3Q389H9p9pO/O+vlGJR3FWr+svkX3K5Ls1O7xTifWfjpSeDJA9SNmpN/W95ry0OXqrzQrZGy6u+G9Pruac5tQxKneN7CFr/qRl56lE439WbVcHy17dbnVAnXzNc9PibevmYbLPM9hed2iBSny7WmPP5a2yjzbrHBz4UXP+sT4b4rJD9hL1kPcXPqnEAN/n33/vlt3D/VnrL4UqkVtp1ePIqHLrpWbe0PZFKvEnNKqTRazs2s2mjXT/ohnnK90rKEdlT3tvbxH5VbOP9ew73Pek7NNjY6s8+qYSsyJO1zI8W+76Y9zOV/uhEicWbBmSdEH21iZLbCx/as4Dc57+drkk+zK/gtTFvzTnsfrr25SlyG727KzxyWLN+9Sf7WlRN2WPCn/g/L5EJfJOa+cOSpe9KK/HUuM/KhGdku6f90D2r8bvV4z+q7nvZz6sC8kqNx+WqGZs+Kd5T6/pXLuLIvvvPtW7p5aqhJONUa3s57L3j/N5U1ymWY9f2q/0fy376Tr1FnauqIh5voHezXNlT419/WGqliL6TjB6cqtA9vUJzwfsrqSIvdV+J3gVyZ67rCwgQ1sRj3800NH/IbvnYKtd1aoo4nPY7GeXSmR3tDm4u39VRRwZ8LvltFLZj2YYr1hQTRGB85Pe1K508X+9hfGxoUerK+J80PHGF6rKbjZ7yLeXNRQx9OWddPdasn+vUBjYoJYi8pU632vWlX2M0c4vw3UUUf+RX/i5BrLnl1oPDqytiJLGVePcDWWv8OGzf0IdzfXUPt1Pp6nshw03ReTrKpr3tQXWiS1l35HZYktTPUW8bD/y1tR2so9zjJ43up4iuuf3uarXUXY9pVa39fUVYbaiZ5erXWQ/Hz1BudRAEZPM+xt69Sh3nV/Wun/VV4ROf1t/oz6y19LadLdNI0X0yXEdnS5k76rnZehsoIioMXNj/AbJ3nmSsU2YoSLiHwV4mQyTPbR95MRrjRURsW7lSfUI2Tcdezb6l5Ei2h0NmL7BQfbuLd90NG2iiIqTPSP7OpXr9w59mNhUETOf9R9Y6Cz7n3et121ppoipfcs89k+S/eKRcdVvNlfEvpiDfxymym4/us+ckhaKCO5pWqvKTNk9mt8506GVZn7WDgtP9JJ9sO2/Z26tNZ8feDd8jo/sOrqZeVvaKOLbhxe1WiyRPejQ4Cc32iriuP61v9kBsvcbMepwcTvNuD1ZMCVkhexz+xQ6m5ooYnqvIquBQbI3PW741dVUEcMGdNlVHCy7lvJw5qYOihj4q+vMk2Gyr/tT82ZqR0X8c/5+alq47O9sb1X60UkR2XO85jaJlL20cmnLtmaa9dV2b0z2Htn93Y61Gd9FESdXLHcMOyB74ua0mhvMNZ+fW9t36CHZH2aNzUzuqgiHN9b6Wsdl3zPJZmlhN0UU3mllmnxK9mOzo6s366EIg9oHzy9KkH2E2YQl9j0V8WHb1aQuF2UPeT3zzspeiug0dFHPT5dlb3/x4d8zFooYrZVicuRauXX0KUjvXW9FBB3YHTH1tuzWZ9bV0O+rCG+tykta3Cu3ri0fvbXup1lfxT8evXwk+/a7zlGL+ysiwWlW9J5s2XOCW1oeFopw/Dbpo/NT2Z+faZmistTsD0EZxw1fyX5ynlOr6gM196Vx8lvlrexOzS/OsLBSRO7aRuGRH8qNv01qJ+1Birja48C46x/L3ccXtiEzNH3m6rv3xxfK/qB0cUnZcq3A//f/fy/XqvCvgtb/899/yrQq1Kcb1D050b5mVt0rpRV0V1VsUTTc0LfhX82f3+CzupX4oLbmdyXdCv/HryLxfxb6lf+zVP7f3x1l+f9rRdTCSqiNlbEKVsVqWB1rYE2shTpYG+ugLtZFPayH9bEB6mNDbIQGaIiN0QiNsQk2xWbYHFtgS2yFrbENtsV22B5N0BQ7YEfshJ3RDLugOXbFbtgde2BP7IUW2Bv7YF/sh/1RoCUOwIFohYNwMFrjEByKw3A42qAtjkA7HImj0B4d0BFH4xgci044DsfjBHRGF3TFieiGk9AdPXAyTsGpOA09cTrOwJk4C2fjHPTCueiN83A++uACXIiLcDEuQV/0Q38MwKW4DJdjIK7AlbgKV+MaDMK1uA7XYzBuwBDciKEYhptwM27BrRiOEbgNt+MOjMSduAt34x7ci/twP0bhAYzGgxiDsXgID+MRPIrH8DjG4Qk8iafwNMbjGTyLCXgOz+MFTMSLmITJeAkv4xW8iimYitfwOt7Am3gLb+MdTMN0vIv38D4+wIf4CDMwE7PwMWbjE1Shgmp8is/wOb7Al/gKc/A1vsG3+A7fYy7m4QfMxwL8iJ+wED9jEX7Br/gNv+MP/Im/sBhL8Df+wb/4D0uxDCvY/2dF1MJKqI2VsQpWxWpYHWtgTayFOlgb66Au1kU9rIf1sQHqY0NshAZoiI3RCI2xCTbFZtgcW2BLbIWtsQ22xXbYHk3QFDtgR+yEndEMu6A5dsVu2B17YE/shRbYG/tgX+yH/VGgJQ7AgWiFg3AwWuMQHIrDcDjaoC2OQDsciaPQHh3QEUfjGByLTjgOx+MEdEYXdMWJ6IaT0B09cDJOwak4DT1xOs7AmTgLZ+Mc9MK56I3zcD764AJciItwMS5BX/RDfwzApbgMl2MgrsCVuApX4xoMwrW4DtdjMG7AENyIoRiGm3AzbsGtGI4RuA234w6MxJ24C3fjHtyL+3A/RuEBjMaDGIOxeAgP4xE8isfwOMbhCTyJp/A0xuMZPIsJeA7P4wVMxIuYhMl4CS/jFbyKKZiK1/A63sCbeAtv4x1Mw3S8i/fwPj7Ah/gIMzATs/AxZuMTVKGCanyKz/A5vsCX+Apz8DW+wbf4Dt9jLubhB8zHAvyIn7AQP2MRfsGv+A2/4w/8ib+wGEvwN/7Bv/gPS7EMKzj8Z0XUwkqojZWxClbFalgda2BNrIU6WBvroC7WRT2sh/WxAepjQ2yEBmiIjdEIjbEJNsVm2BxbYEtsha2xDbbFdtgeTdAUO2BH7ISd0Qy7oDl2xW7YHXtgT+yFFtgb+2Bf7If9UaAlDsCBaIWDcDBa4xAcisNwONqgLY5AOxyJo9AeHdARR+MYHItOOA7H4wR0Rhd0xYnohpPQHT1wMk7BqTgNPXE6zsCZOAtn4xz0wrnojfNwPvrgAlyIi3AxLkFf9EN/DMCluAyXYyCuwJW4ClfjGgzCtbgO12MwbsAQ3IihGIabcDNuwa0YjhG4DbfjDozEnbgLd+Me3Iv7cD9G4QGMxoMYg7F4CA/jETyKx/A4xuEJPImn8DTG4xk8iwl4Ds/jBUzEi5iEyXgJL+MVvIopmIrX8DrewJt4C2/jHUzDdLyL9/A+PsCH+AgzMBOz8DFm4xNUoYJqfIrP8Dm+wJf4CnPwNb7Bt/gO32Mu5uEHzMcC/IifsBA/YxF+wa/4Db/jD/yJv7AYS/A3/sG/+A9LsQwrOP5nRdTCSqiNlbEKVsVqWB1rYE2shTpYG+ugLtZFPayH9bEB6mNDbIQGaIiN0QiNsQk2xWbYHFtgS2yFrbENtsV22B5N0BQ7YEfshJ3RDLugOXbFbtgde2BP7IUW2Bv7YF/sh/1RoCUOwIFohYNwMFrjEByKw3A42qAtjkA7HImj0B4d0BFH4xgci044DsfjBHRGF3TFieiGk9AdPXAyTsGpOA09cTrOwJk4C2fjHPTCueiN83A++uACXIiLcDEuQV/0Q38MwKW4DJdjIK7AlbgKV+MaDMK1uA7XYzBuwBDciKEYhptwM27BrRiOEbgNt+MOjMSduAt34x7ci/twP0bhAYzGgxiDsXgID+MRPIrH8DjG4Qk8iafwNMbjGTyLCXgOz+MFTMSLmITJeAkv4xW8iimYitfwOt7Am3gLb+MdTMN0vIv38D4+wIf4CDMwE7PwMWbjE1Shgmp8is/wOb7Al/gKc/A1vsG3+A7fYy7m4QfMxwL8iJ+wED9jEX7Br/gNv+MP/Im/sBhL8Df+wb/4D0uxDCuM/s+KqIWVUBsrYxWsitWwOtbAmlgLdbA21kFdrIt6WA/rYwPUx4bYCA3QEBujERpjE2yKzbA5tsCW2ApbYxtsi+2wPZqgKXbAjtgJO6MZdkFz7IrdsDv2wJ7YCy2wN/bBvtgP+6NASxyAA9EKB+FgtMYhOBSH4XC0QVscgXY4EkehPTqgI47GMTgWnXAcjscJ6Iwu6IoT0Q0noTt64GScglNxGnridJyBM3EWzsY56IVz0Rvn4Xz0wQW4EBfhYlyCvuiH/hiAS3EZLsdAXIErcRWuxjUYhGtxHa7HYNyAIbgRQzEMN+Fm3IJbMRwjcBtuxx0YiTtxF+7GPbgX9+F+jMIDGI0HMQZj8RAexiN4FI/hcYzDE3gST+FpjMczeBYT8ByexwuYiBcxCZPxEl7GK3gVUzAVr+F1vIE38RbexjuYhul4F+/hfXyAD/ERZmAmZuFjzMYnqEIF1fgUn+FzfIEv8RXm4Gt8g2/xHb7HXMzDD5iPBfgRP2EhfsYi/IJf8Rt+xx/4E39hMZbgb/yDf/EflmIZVhjznxVRCyuhNlbGKlgVq2F1rIE1sRbqYG2sg7pYF/WwHtbHBqiPDbERGqAhNkYjNMYm2BSbYXNsgS2xFbbGNtgW22F7NEFT7IAdsRN2RjPsgubYFbthd+yBPbEXWmBv7IN9sR/2R4GWOAAHohUOwsFojUNwKA7D4WiDtjgC7XAkjkJ7dEBHHI1jcCw64TgcjxPQGV3QFSeiG05Cd/TAyTgFp+I09MTpOANn4iycjXPQC+eiN87D+eiDC3AhLsLFuAR90Q/9MQCX4jJcjoG4AlfiKlyNazAI1+I6XI/BuAFDcCOGYhhuws24BbdiOEbgNtyOOzASd+Iu3I17cC/uw/0YhQcwGg9iDMbiITyMR/AoHsPjGIcn8CSewtMYj2fwLCbgOTyPFzARL2ISJuMlvIxX8CqmYCpew+t4A2/iLbyNdzAN0/Eu3sP7+AAf4iPMwEzMwseYjU9QhQqq8Sk+w+f4Al/iK8zB1/gG3+I7fI+5mIcfMB8L8CN+wkL8jEX4Bb/iN/yOP/An/sJiLMHf+Af/4j8sxTKsMPY/K6IWVkJtrIxVsCpWw+pYA2tiLdTB2lgHdbEu6mE9rI8NUB8bYiM0QENsjEZojE2wKTbD5tgCW2IrbI1tsC22w/ZogqbYATtiJ+yMZtgFzbErdsPu2AN7Yi+0wN7YB/tiP+yPAi1xAA5EKxyEg9Eah+BQHIbD0QZtcQTa4UgchfbogI44GsfgWHTCcTgeJ6AzuqArTkQ3nITu6IGTcQpOxWnoidNxBs7EWTgb56AXzkVvnIfz0QcX4EJchItxCfqiH/pjAC7FZbgcA3EFrsRVuBrXYBCuxXW4HoNxA4bgRgzFMNyEm3ELbsVwjMBtuB13YCTuxF24G/fgXtyH+zEKD2A0HsQYjMVDeBiP4FE8hscxDk/gSTyFpzEez+BZTMBzeB4vYCJexCRMxkt4Ga/gVUzBVLyG1/EG3sRbeBvvYBqm4128h/fxAT7ER5iBmZiFjzEbn6AKFVTjU3yGz/EFvsRXmIOv8Q2+xXf4HnMxDz9gPhbgR/yEhfgZi/ALfsVv+B1/4E/8hcVYgr/xD/7Ff1iKZVjB6T8rohZWQm2sjFWwKlbD6lgDa2It1MHaWAd1sS7qYT2sjw1QHxtiIzRAQ2yMRmiMTbApNsPm2AJbYitsjW2wLbbD9miCptgBO2In7Ixm2AXNsSt2w+7YA3tiL7TA3tgH+2I/7I8CLXEADkQrHISD0RqH4FAchsPRBm1xBNrhSByF9uiAjjgax+BYdMJxOB4noDO6oCtORDechO7ogZNxCk7FaeiJ03EGzsRZOBvnoBfORW+ch/PRBxfgQlyEi3EJ+qIf+mMALsVluBwDcQWuxFW4GtdgEK7Fdbgeg3EDhuBGDMUw3ISbcQtuxXCMwG24HXdgJO7EXbgb9+Be3If7MQoPYDQexBiMxUN4GI/gUTyGxzEOT+BJPIWnMR7P4FlMwHN4Hi9gIl7EJEzGS3gZr+BVTMFUvIbX8QbexFt4G+9gGqbjXbyH9/EBPsRHmIGZmIWPMRufoAoVVONTfIbP8QW+xFeYg6/xDb7Fd/geczEPP2A+FuBH/ISF+BmL8At+xW/4HX/gT/yFxViCv/EP/sV/WIplWGHcf1ZELayE2lgZq2BVrIbVsQbWxFqog7WxDupiXdTDelgfG6A+NsRGaICG2BiN0BibYFNshs2xBbbEVtga22BbbIft0QRNsQN2xE7YGc2wC5pjV+yG3bEH9sReaIG9sQ/2xX7YHwVa4gAciFY4CAejNQ7BoTgMh6MN2uIItMOROArt0QEdcTSOwbHohONwPE5AZ3RBV5yIbjgJ3dEDJ+MUnIrT0BOn4wycibNwNs5BL5yL3jgP56MPLsCFuAgX4xL0RT/0xwBcistwOQbiClyJq3A1rsEgXIvrcD0G4wYMwY0YimG4CTfjFtyK4RiB23A77sBI3Im7cDfuwb24D/djFB7AaDyIMRiLh/AwHsGjeAyPYxyewJN4Ck9jPJ7Bs5iA5/A8XsBEvIhJmIyX8DJewauYgql4Da/jDbyJt/A23sE0TMe7eA/v4wN8iI8wAzMxCx9jNj5BFSqoxqf4DJ/jC3yJrzAHX+MbfIvv8D3mYh5+wHwswI/4CQvxMxbhF/yK3/A7/sCf+AuLsQR/4x/8i/+wFMuwwvj/rIhaWAm1sTJWwapYDatjDayJtVAHa2Md1MW6qIf1sD42QH1siI3QAA2xMRqhMTbBptgMm2MLbImtsDW2wbbYDtujCZpiB+yInbAzmmEXNMeu2A27Yw/sib3QAntjH+yL/bA/CrTEATgQrXAQDkZrHIJDcRgORxu0xRFohyNxFNqjAzriaByDY9EJx+F4nIDO6IKuOBHdcBK6owdOxik4FaehJ07HGTgTZ+FsnINeOBe9cR7ORx9cgAtxES7GJeiLfuiPAbgUl+FyDMQVuBJX4Wpcg0G4FtfhegzGDRiCGzEUw3ATbsYtuBXDMQK34XbcgZG4E3fhbtyDe3Ef7scoPIDReBBjMBYP4WE8gkfxGB7HODyBJ/EUnsZ4PINnMQHP4Xm8gIl4EZMwGS/hZbyCVzEFU/EaXscbeBNv4W28g2mYjnfxHt7HB/gQH2EGZmIWPsZsfIIqVFCNT/EZPscX+BJfYQ6+xjf4Ft/he8zFPPyA+ViAH/ETFuJnLMIv+BW/4Xf8gT/xFxZjCf7GP/gX/2EplmGFCf9ZEbWwEmpjZayCVbEaVscaWBNroQ7Wxjqoi3VRD+thfWyA+tgQG6EBGmJjNEJjbIJNsRk2xxbYEltha2yDbbEdtkcTNMUO2BE7YWc0wy5ojl2xG3bHHtgTe6EF9sY+2Bf7YX8UaIkDcCBa4SAcjNY4BIfiMByONmiLI9AOR+IotEcHdMTROAbHohOOw/E4AZ3RBV1xIrrhJHRHD5yMU3AqTkNPnI4zcCbOwtk4B71wLnrjPJyPPrgAF+IiXIxL0Bf90B8DcCkuw+UYiCtwJa7C1bgGg3AtrsP1GIwbMAQ3YiiG4SbcjFtwK4ZjBG7D7bgDI3En7sLduAf34j7cj1F4AKPxIMZgLB7Cw3gEj+IxPI5xeAJP4ik8jfF4Bs9iAp7D83gBE/EiJmEyXsLLeAWvYgqm4jW8jjfwJt7C23gH0zAd7+I9vI8P8CE+wgzMxCx8jNn4BFWooBqf4jN8ji/wJb7CHHyNb/AtvsP3mIt5+AHzsQA/4icsxM9YhF/wK37D7/gDf+IvLMYS/I1/8C/+w1IswwrO/1kRtbASamNlrIJVsRpWxxpYE2uhDtbGOqiLdVEP62F9bID62BAboQEaYmM0QmNsgk2xGTbHFtgSW2FrbINtsR22RxM0xQ7YETthZzTDLmiOXbEbdsce2BN7oQX2xj7YF/thfxRoiQNwIFrhIByM1jgEh+IwHI42aIsj0A5H4ii0Rwd0xNE4BseiE47D8TgBndEFXXEiuuEkdEcPnIxTcCpOQ0+cjjNwJs7C2TgHvXAueuM8nI8+uAAX4iJcjEvQF/3QHwNwKS7D5RiIK3AlrsLVuAaDcC2uw/UYjBswBDdiKIbhJtyMW3ArhmMEbsPtuAMjcSfuwt24B/fiPtyPUXgAo/EgxmAsHsLDeASP4jE8jnF4Ak/iKTyN8XgGz2ICnsPzeAET8SImYTJewst4Ba9iCqbiNbyON/Am3sLbeAfTMB3v4j28jw/wIT7CDMzELHyM2fgEVaigGp/iM3yOL/AlvsIcfI1v8C2+w/eYi3n4AfOxAD/iJyzEz1iEX/ArfsPv+AN/4i8sxhL8jX/wL/7DUizDCi7/WRG1sBJqY2WsglWxGlbHGlgTa6EO1sY6qIt1UQ/rYX1sgPrYEBuhARpiYzRCY2yCTbEZNscW2BJbYWtsg22xHbZHEzTFDtgRO2FnNMMuaI5dsRt2xx7YE3uhBfbGPtgX+2F/FGiJA3AgWuEgHIzWOASH4jAcjjZoiyPQDkfiKLRHB3TE0TgGx6ITjsPxOAGd0QVdcSK64SR0Rw+cjFNwKk5DT5yOM3AmzsLZOAe9cC564zycjz64ABfiIlyMS9AX/dAfA3ApLsPlGIgrcCWuwtW4BoNwLa7D9RiMGzAEN2IohuEm3IxbcCuGYwRuw+24AyNxJ+7C3bgH9+I+3I9ReACj8SDGYCwewsN4BI/iMTyOcXgCT+IpPI3xeAbPYgKew/N4ARPxIiZhMl7Cy3gFr2IKpuI1vI438Cbewtt4B9MwHe/iPbyPD/AhPsIMzMQsfIzZ+ARVqKAan+IzfI4v8CW+whx8jW/wLb7D95iLefgB87EAP+InLMTPWIRf8Ct+w+/4A3/iLyzGEvyNf/Av/sNSLMMKrv9ZEbWwEmpjZayCVbEaVscaWBNroQ7Wxjqoi3VRD+thfWyA+tgQG6EBGmJjNEJjbIJNsRk2xxbYEltha2yDbbEdtkcTNMUO2BE7YWc0wy5ojl2xG3bHHtgTe6EF9sY+2Bf7YX8UaIkDcCBa4SAcjNY4BIfiMByONmiLI9AOR+IotEcHdMTROAbHohOOw/E4AZ3RBV1xIrrhJHRHD5yMU3AqTkNPnI4zcCbOwtk4B71wLnrjPJyPPrgAF+IiXIxL0Bf90B8DcCkuw+UYiCtwJa7C1bgGg3AtrsP1GIwbMAQ3YiiG4SbcjFtwK4ZjBG7D7bgDI3En7sLduAf34j7cj1F4AKPxIMZgLB7Cw3gEj+IxPI5xeAJP4ik8jfF4Bs9iAp7D83gBE/EiJmEyXsLLeAWvYgqm4jW8jjfwJt7C23gH0zAd7+I9vI8P8CE+wgzMxCx8jNn4BFWooBqf4jN8ji/wJb7CHHyNb/AtvsP3mIt5+AHzsQA/4icsxM9YhF/wK37D7/gDf+IvLMYS/I1/8C/+w1IswwoT/7MiamEl1MbKWAWrYjWsjjWwJtZCHayNdVAX66Ie1sP62AD1sSE2QgM0xMZohMbYBJtiM2yOLbAltsLW2AbbYjtsjyZoih2wI3bCzmiGXdAcu2I37I49sCf2QgvsjX2wL/bD/ijQEgfgQLTCQTgYrXEIDsVhOBxt0BZHoB2OxFFojw7oiKNxDI5FJxyH43ECOqMLuuJEdMNJ6I4eOBmn4FSchp44HWfgTJyFs3EOeuFc9MZ5OB99cAEuxEW4GJegL/qhPwbgUlyGyzEQV+BKXIWrcQ0G4Vpch+sxGDdgCG7EUAzDTbgZt+BWDMcI3IbbcQdG4k7chbtxD+7Ffbgfo/AARuNBjMFYPISH8QgexWN4HOPwBJ7EU3ga4/EMnsUEPIfn8QIm4kVMwmS8hJfxCl7FFEzFa3gdb+BNvIW38Q6mYTrexXt4Hx/gQ3yEGZiJWfgYs/EJqlBBNT7FZ/gcX+BLfIU5+Brf4Ft8h+8xF/PwA+ZjAX7ET1iIn7EIv+BX/Ibf8Qf+xF9YjCX4G//gX/yHpViGFdz+syJqYSXUxspYBatiNayONbAm1kIdrI11UBfroh7Ww/rYAPWxITZCAzTExmiExtgEm2IzbI4tsCW2wtbYBttiO2yPJmiKHbAjdsLOaIZd0By7Yjfsjj2wJ/ZCC+yNfbAv9sP+KNASB+BAtMJBOBitcQgOxWE4HG3QFkegHY7EUWiPDuiIo3EMjkUnHIfjcQI6owu64kR0w0nojh44GafgVJyGnjgdZ+BMnIWzcQ564Vz0xnk4H31wAS7ERbgYl6Av+qE/BuBSXIbLMRBX4EpchatxDQbhWlyH6zEYN2AIbsRQDMNNuBm34FYMxwjchttxB0biTtyFu3EP7sV9uB+j8ABG40GMwVg8hIfxCB7FY3gc4/AEnsRTeBrj8QyexQQ8h+fxAibiRUzCZLyEl/EKXsUUTMVreB1v4E28hbfxDqZhOt7Fe3gfH+BDfIQZmIlZ+Biz8QmqUEE1PsVn+Bxf4Et8hTn4Gt/gW3yH7zEX8/AD5mMBfsRPWIifsQi/4Ff8ht/xB/7EX1iMJfgb/+Bf/IelWIYVJv1/rKSr+bovbENmDFLEzNV3748vvCgq8GvU/Ccf7mu6XsbPQZ8/y171RcnOyMGKOOjXcLzhN9krljwMumOtiAEWB7ye/pJ98MT00SVDFLHBbN6f3X9l73AtV7v9MEX4Zc0rm1gx6X+9nknr7eOGKyL63ia/5lVkv71iZc11Noro9Pfi7Lc1ZJ9ypdT9vK0i3pk/f3yojuxuT3bsfD9CEZOGvU2YVV/2mVdGJjQYqYjxDS/VMjOQ/fucFvGDRini4cLR6u/Gslur62z2sVdEWv/tTS62kN3vr77DAQdF2I+YryxvK/uaez1+PHRUxPqlGTWsO8jeYYiXX9loRVw5fjC+VhfZa05Jzuk4VhFGiY8fZnaXPbxpM1MXJ0XUW+kwdVfvcp9ftGNs8DhFVM2r6j1ZyB48pdWUC+MVMf3u6yLTQbJX/JDq+H6CIl7WfZj7fajsnbV8Wtd3UUTxruTRl0fIfuJkV2WAqyJWj4zouc5B9vdfKs2dO1ERVnpDNjk4yd4o7fX73W6KqJF+eaKxi+xjej+wTJukuS/uHw7kTZJ91eDbAb/cFZF+5YzL2amyu36+u7PVZEXk368REjhT9nl9n+20n6KIxX5PzUbMld3Y/EfAsqmKSDqhZ2O4QPYd2foDjk1TRKPxe9S5S2TPNbPMfeKpiLrTp79MWCr7u6Hec7VnKMI0fdL41Stlt2wbq5jNVISJj89Qx7WyL3r8qrXrLEVctt94vEWI7E9dm45eP1sRN8bvWvN1U7n7mD5pSsIczbpYHpyZGlHuOk0Ojs3xUkTX80O2bd0p++m1eSY63pp5+OvKvSn7ZF9a1CGn1zxFOPV65dvjoOzTfbx9p8xXRMt5ETurHZH9bNP4b2E+ikjYdbfz0zjZfSp/GZm0QBH74udbnIiXfX33DqHvFypiz+kF51ecl/1oiseJuosV4RZx5ciY5HLrK3nrqb5LFFHBxVLXJEV2LYvL4Z6+muvUfptfekP2JJucCVv8FHE0dLtFVlq59VL9r9Ylf0V0+Dvk75EHsndap7MxN0ARliNfmwdmye7won5J3WWKWLDB8flYRfZJLesO6btcEeMS1v3p+EL2bXMrLp4WqIgzGV4bK7+RXfvZ23WbVihicv7XLc9zy62jlRcDLq5UhLu2Vq1zH2VXLV3h8HaVItTt1xeHfpF9/odeNWqvUcSPKQvHTf8pe3TOy+ieQYqwSDljOvCP7JtWLWzqvlazfm26zDeqkPy/bvKpOCB4nWbe6j41/aUtu3m/Gcln1iuiY9O94zKqy959643nz4IV0X2dZ3Fcbdm319HJqRyiCOHSqmZwPdmDMvvf7LRREb5xKZumNZK9QsUJG51CFdEvrMN6K2PZn1x07REYprlOfYfvzVrIHt1qWMrhTYqY5dQ0o7SN7FkejTs92qyI3jNXtHhuKnvMzsyAki2KmDht6rskM9mbfvWOax6uiCdTLhju6i670aavV4ZFKKJouWeqX2/ZB+x2OjtvmyK+Zbg9myBkryL2BUduV8RCv9DpfQbJfirq9sCUHYpoHP5qmtEw2e0KM57lRSriZH+rJ/9GyH5t5KVxurs092tndOJLB9kvfwk613O3IpRbhTqpTrInVuj8c+IeRdz9UDfroEu58Tx6tmHQXs3zq+XvmuvcZT/auGHjuH2KyIsMT5g1Tfa9q8dUyNqvCK/59x+OnCV7SP25t35HKaJ1VrhrN2/Zf/zx8G4erQiz3Cxng4Wyt51t9mfIQUXcyfJPL/WVve/2bE+vGEWsvbXo+Ntlsjc+NfpceKwicvLjS9NWye6bf+T9xUOKuD3LOPX0Otmz/R4XvzqsiCZLon/u2Ch74Lbsj1WOKqK+MN8duEX2TT7HUzscU0RJ0bn46dtl/zR0rJ/Dcc3+cKVJb/vdsg+3y6y3JE4RGc/GmveOkr11couwPScUYbvUdlfLWNnT060+pp5UhOrxxwU6x2Qfdb67ad4pzT5j1PrKr5Oy70j8ZaMTr4he61/7vj5b7vO119uZn1FE7dF6MfcSy43zlzxzp7OK+HcuyjLxsux3ovRL/BM06+LTUtuYa7K/dK4btf+cIsaYh9/efFt2XTeVyY3zirC+/ujssnuyVyuYue3DBUV45rSsOztD9q6Wt9/oXFRE4J3Fz8c/kT1z32c98yTNc/DSRYOhz2QvtHnVcmyyItaUKTd65Mg+dm2kvt+l/3u9pOa0fi/74QjDgj2XFeEa4DGnQYHstkkeUSlXFBE0IHZ65SLZffrNs3h3VRF2M/wzf3yX3dBj8JlqqZr72+dB3PuScuvR+0XtDtcUcU8r7NeTUtlvn+hjO/K6IuZUO3zqTqVLch1Nc5k1/4YiTuyoqiRVk/3fKzE74qYiFlXY5X1CR/ZAz3d2F25pxj905OIoPdn/DLKt9/S2Ih5t0vsU3lD2T9d9Ev/dUcTs8Y8erTOSfV9X5wHN0hWRYuHbemlz2Vu9qHhs4F3NvFr9K3deG9nH6Xn+nHJPEaWhFgaeprK/bBLccu19RVyI65DoYiZ7O8eZ5kceKCK15+VbDt1l9yyr0jL9oWa+rXk6aFhv2XctcPvx8ZEisgvnmVkK2Tdq+xypnamIKQ+8gnsOkj294gBhlqUI/5VXHDoPkz3uyu1z9o81564p9uvb2snuuKW6rk+25nySVbdTM0fZD93Xsgl/onm+dym0NBgn+5i0M54JKkWMepqZoucqu/K08bRsRREu3U6dquUh+9wJva1/qRWxfJ+3TlVP2ZvurV2t0TNFNFihpao4W/YLZduP9XquiKX9HXX/ecv+QPXYbPwLRezsP+pc8ULZU1bd2u77UhH9P7y/891P9njn2a8iXyni2iFtmy/LZQ9NvlbjYo5mPr/dZlG4WnbtSvf01a8VMaHmhoiC9bJvDlmr/fuN5n1n/f2JH0Jln3f+a6bBO0X8TbeLyN0q+9HXOmss3mu+r1VJr/c7ZK/hpWo4PlczbpOShr3bI3vzi/YhS/I06z185a23B2S3aef7evsHRRQ69I1/e0j2aEM7w/P5mvWim1393XHZdb8/6JpdoIjggf3uvzste99GpZ1+fFTEoEluZe/Pyb6j4EnN+oWKeJDTfk9ekuxOmS5p5p8189Yy+FD+Vdl9u4fMtC9SROyvOU0+3ZD94pKpH+d+0ZwnV6ZWLEqT/aB23sjQr4owcFto/+2B7MsG1Is4/k3zXllzgc6vLNmdd7xPSvuuGYeqx7v/UWSv6+N+Pe+H5rydVSOt7IXsPfuuOlHll2a9f1+apv1W9g5uNn6tihURlf+1R40PsusPTWw7sETzHOnrVEe3sNy8nXz3nNtvzfz33uGo/032Fs1Wt136RxHvdQ5WMi6W3b3gpe/Ov5rn427Ppq3+yX6328u48/8UcenQw1hTrcv/6xNmr7iWVaqI04l3I7tWlf2W1s2LX8oUMdRtWHGfWrJvnnF8a+2KajGmTbfUQXVlL9PrZmeqpRYle/x+jdCXveF8l/whldRi8dgaO5way37gd6vpU7TVYmfOw2j3ZrJ3ar7xVmBlteiTkWQ4u7XstZ3Dq+2pohbHki/8XWQi++gmvU0Tq6rFxB4Jw1Z2ll2Vs7Tz42pq0SF7b8XQbrKbG7s1+FJdLVp1m9xqp4XsqUOfP6tVUy1SPnw+Hdtf9oPPf61pV0stIjabHz1jJXvSmBO6g3TU4vStRjopQ2U/ZlphqVtttRjRfpP6/gjZ1eqPaX511KLumCC95w6ye7/0+R2hqxZJ+XlnC5xkH38uvObpumqxeUNMym8X2S2f25Wm66nFb+VIrxoeskdkRGW8r6cW13zfGBh6yh7UYOO6ig3UQlvXcqrJbNkrt9FtZqSv6VZxhn3myX5ztUlkj4ZqEXmxUW/bRbL3PfP026hGarG3qfc1V3/Z93RtaTbLQC28jKLOzQ2U/dW6CnZrDNXigEtkvZVrZE/u4TNiX2O1aLvRWh0eLPvRFL9OiUZqYeGyrcbhMNlfn9D/kmGsFk6+iw4mhcvuvto64mMTtZgXkXXoQaTsL29Xb1ylmWZeeeyt/3av7EqlSSubNlcL1/CU/OJo2ddeGpreq4VabHhpalL7iOx5y679sG+pFl1/p2W0PCH72UcPKs5qpRYvd4W8tTgj+0zLOZ9XtVaLnksnuo26ILvV2F2Xd7fRXOe4Tlael2Tvs2/83IS2aqHkfQhblip7rcOHKt5vpxaWBcsGb7tVbt6Wrl74vr1mvhk/nXziruxvO39JKzVRi2DxMf/mI9mN7xZUbNhBLbbU3a9+mS37Vo8Fhp07qsW9MW/NS57KfnVVcP0hnTTz/EHsN72ccuN2tWPRxM5qcdbqsVHH97I/OuYat8hMLVoucT0xpEB21ycGtqFd1MKuW8fDHkWyF2a7340xV4tCS/May37Ifr5/906XuqqFwfQJWZG/y6276K3zsrqpRbOFW6ucK5N9yq6AbQXd1eJxt/T9GdpX/tc9kj/v1uqpFj0Wfj7wubrst/Z8XG3QSy1uVi6spVNH9oAn8+3MLDTz7fzZFyb1ZW+htbLEurdaHHXu0miYgezNzhsEufbRjM9N+0TPJrKHb7L47tNXLS7drZQa1FJ2l/Y5VsH9NOMwqLt5bDvZ6xnrLtzfXy0ytLOq3+woe91qN9eeE2pRM/fe0Pfmss9eqxVw11Itut3Q/Vyll+w/et2wfz1ALd74Bf9t20/2fkk61YsHqsW/t+3mDRsoe1jc0yidQWpxNUexnTVE9q8nOxm1HKwZz1Ebwjbayt5xcpUlvazVok09U4tT9rJfne6RMGKIWtSpeWhY5ljZ8z0GZnkMVQtro09XfzrLHvM9JmvxMLVQmRbsNXQv11NCzoUMV4t2zcLe9J8m+0Svn75RNppxyLkZOnmW7P/2vW5yzlazLzkF7l/nLfusv6Ni0kaoxVSvI41OLJR9hMkAnZd2ajGkrtmvTD/ZtR/Fj/02Ui0WdNTq+3u57Md3xKyoaq8W20/r5DZbI7uRiUFoYwfNuttoWTwkWPZ3nXQCOjtqrvPMurlzw2R3sl9hYzVaLebUz7LdHi77kr4L/44doxYfY3Q3XYmUvebuvNCZYzXPBdcOFnl7y90vo6day5w0+6dZg6F1D8reZ5btuM3jND+nUWJy7yOyV+rRN+zgeLVYU6fK9iknZN9ievTQ+Qlq4V4nPzv0jOwOfyKi0pzV4mt9x4DEC+XW0ZiygOcualFg3Hnt20uy781/Z1Hkqha+7Wf/qnNN9t2zh6m03DTzoVfx3T63ZT+6sf24BpPUIt4mper0e7JnVAhKbOuuFts8Ew6FZ8j+2HfiXwsPtZi2KfV4yhPZO8XFN7OdrBYOd7P1Pz8rt45GrWwzcYpaxLR49c7otezzG93T8Z6qFh677xrY5Jab58lbsldM04ynVXC878dy/XtG4FZPzTmhVdVTh7/IvnHJxlox0zX7/PAueqqfsm+tkOp7bobm/HPzp6rq33L3y9r79q2ZamGU2UJrd4Wr/+vXtXcUq2apxYd/lYd3qyR7p5+9auTPVov3Hxtfv1tZ9mXZDv9+z1GLakedvadWk72Fx7tHNeeqRT3LZLvSGrL3GVu01shbc38vdnPbriP7IW+fph3nafbP1slRZrqyl8z12tFvvlrobhymn6Ynu3+9nK8jfNTicllm8uQGsps3Tu80cYFaTNngEPGvoeyPh3Sw9Vqo2X/6J+/bbij7kwnaNssWqUV++2rPuhjLPknf0TR0sVrccuk4/G5T2R37Nfq0Z4larM5rkT+thewDtzpuivNVi5wXL5Mqti43Ps+0G1zyU4tRDs5XdreVveYLU/+7/mpRNibke08T2aNdb6c+DdCci/7NcM7sIHtic3VB/lK16DWx4JtXZ9kXfpn0s2SZWuwJqXq5hrnsCeEur6sFqsXPvQmJsd1kr51192TDFWpRfOzj+4E9ZU9fcnpim5VqUTU9evBLC9kLbWt87rZKsy/Vz3js31d2k8ZPJlmt1jzH93ttbyRkLzrR8Kz9GrWYvN47OGGA7G5Z6XluQZqf/+H+CYdBso8c9610zlq1WK4O1C6yln1EtdCf/uvUYq7v0g0bh8m+J37Xg/Xr1cLqdZKVqa3s3doYBW8P1swT864d79jJftW8TpuYDZrzapB6iKe97AcOL4iOD9H00sNbK4+W/cs4W62rG9ViUmKE7sGxsi9usG3gvVDNeszefnngeNnPnLKfog5TC/PFsXtynGV/+m+ZZ+4mtfBPvhAXOFH27IfGtt83q8Xu2zcKm7qXmz+lHfUqbtV838vXJ12ZLPtc55OJOuGacU45XsltmuyTL0cNNIzQzIefC56UTi83z/9px7XZphazVtR/tneW7F2/qIrNt6vFr3Ur6wqvcuPpbdxG7NC8v3Q9t/ilt+y5ozO62USqhc+h2NqBPrJHLv7Vymmn5nvp2GQ3WyT7x/iQnx67ND9/4877KUtkf5iz+YjXbrXo7RDyy8Nf9ncvq/T326MWzqsb2msvk33F+oIza/Zq9oGRXZ/GBJbbH5JEzc371KL2i+yIIatkbzC60qDd+zXr3bUk8MMa2bt36THxUJRaNP+9efeGdbK3MVeNjz+gWac52/M6bpA9qceHHpei1aKzldbUhxtlX9R0xo9bB9XCeMTtuj6bZA+95xSREaMWYZ1zChtslT2/RYL+81i1aN140N8LEeX+Xa0VvrmHNPNkQJ6Fyw7ZQ+ySLn05rNlnMq8fKtspe+OPk9/8OaJ5HlV+NDh6T7nxueKXX/mY5rlWQ7v+kP2yNztRllHnuFq46I/RKzgge429X3cbxKnF+IlJlmExsmstchza8oRadGrUaV/Xw7IHGLd43OGkZr37HeyoOir7/oCJVj1OqcXzpAYfA+LKzduAalvFabV4Ut9X3fyU7AWVm10fGq8W6ks3im/Gl5uflWKy7c+oxdiir9azE8rNh0nb0yacVYtx739dr3tB9gvVfu2bnKA576nT55+/KHtE7rWxs89pzqvVp41yvST7kvx/hQvOq4XpiUuula6WG4eyg9OXXlCLJVXSdh5JlT22XuK1NYmafXjkyqqjbsg+pmHvCqEX1cL+zvPon7dkzyxp22RbklpcPJ05d0+a7OuOrTTem6wWfYc5zxp0T/aNxsNLYy6pRdTDWdsKHsgeN2DZ1bjLmnPg+r9FWzJkd63RdErCFc18SND27/1Y9lszO3xIvqoW6Tv8u71+Um5/Gxs78nqKWjRdNM44WC37vdSQ7empajF0y5bu5s9lb3Xw5dWMa5r5Y958qfplufVVtDdduf5/MWHf8Vi97wPAExlFRHYRSRoiSqKP26pIJSRFKZtkryQZESEzpQiZZZUiJURkS0aRc84jo4wQGYXwu3//fK/n3/freR3nXPd1XwN+z6TF6cB+8OHkxpJvH3rQDX7Bh7u+g0tlmQcP1eLnjDo7dQ6Bn1m23jdRh9//woKb7yhd30ntqpmpx3lYmpctOQ6eFFSksNjQg75o+6399At8MXPpNkNTDyo5Y5fk/Ru8dflFBUtzDxLYbX5h6yy4S1hnJ0dLD5riNTvR8ge8X9O8medjDxq/dOGK1wLdOe48nynYiude45OlYkvgGQffXxT91IPST+060LwCbup0d1GiDe/FsT/7PVdX/c8rGtuv7mzvQRFOt8rF1oBv0/HtkunAfV9xuraZBTxvMo5/f2cPmvxvx4rXWnDOMr6DSp/x79tFrbdy0D2/YM0h9KUHiWt9XPzICd7eeGmLZhfeE3/vqrzGTfccHqkfWt24/kvKvpTkBR8PM7lz4msPWqXY3tnODx6qsMir34PnSV+2bX5C4PlCLP5nCFxXj7ek79oM3nHIr8mY7EGt/zbqdYuCi6Zb/DWlcD3/0bU7WBzc7HQRswUN73FmHAfktoHznnWZs+7tQVfq85x6t4Obv3pYd/lbD4pzz/8SsRNc+KrsNce+HiRbxXxFSRr8XZbcetd+PL+xPZcZlgH3Ov74pscAvr+5qWL35MAF3a/3XB3sQTGrP6lp7gffvqOG+/r3HpTtsD/69wHwRq+ru/1+4O/SqWd/rAROXHmwPXAI75uLfiW6/4F/5d3OFDzcg45TBtHLCHzSX+x9yAiuh/rK9/PVwefLQs3CRvEeVy7dfP4wuMvX8/0RP/E84y8uw65Fd14/HmlGjeG+s8RV+fYYONesTmjMOD7Hh5M37E+Ah/HZ5MdN4HtU+tpe+BS42IVfL+N/4XOsuXSrSR88mxhMvD/Zg1pEvn30MQR/kHnU6sEU/r3MnsO7z4JvaeXnSvzdg4ovqo+QxuDrHQyTkqZ7kDz/xrd3LoD33MUtaQbfr3cPS1UugT89L3guZRbXz+qWoV/m4EeJlNupc3iOjchQf2wFvlPqbuLjP7j+hPI16duCe5jMRab97UG64sIBTPbgI3dqLdLne1BO3VPLVw7gi91MQhkLPSj1xxsPW2fwmjOFhRmLuG6MqxcJuYEziTfvzPyH96YTh7a0eIBLnTEMzlzqQbfdH73xuwquynmiKnO5Bx3+fMFfzgec7fJLWuZKD9rb5+7+3Rd88GYolbmKQMNre+IT/Ony7VpzeSYDgb5+CBrUuUl3Xg5+fpmrCbTr1pVLK8HgD30ei2cyEqitMpTtZSj42xq57AwmAoX8/NRrHQ7+yk6eI2MNgSqvHxoQigTvCk8/nc5MoIaf73lao8GFTtz0TWMhUNZzE5ebceCbPrWHPGYl0B7N5cUD98AlFWPdUtkINCKa9nIsga5OPq1STVlLILUKlYTHieDPj5r9erSOQKceNj09kwy+pOjil8ROICZZ1eF1j8Fn0qYmH3Jg/xdnUJVO9555/RoP1hOo1afip2cWeLKP5tX7nARKli55vvsp+NmD/JHxXARyj/ZI688Fr+QwCY7bQCBxianKhAK6+yvGZRrDTaB9dmLsuoXgzSkKAlE8BFrTt3RzTRF4RuHHlxEbCVTKcUOq7BV4fGC3bBgvgQ64Pph3fUP3Piqno0L4CCQTe/TPjjLwExvUW4P4CbTxt59YXwW4u1TaZIAA/j2/0tWEKnDvQvfpG4IE8g9xWMQDA+RPz5suHyECfWvYkMtSRxfPdpdHV4UJ1GMlEvKuAfxvQ5KmxyYCdQ+ERXk1g0/8Umpx2UwgxpaTNTKt4G88jh9wFCGQRq7ZtuE28L6ItsDLogQyZnv7IrUTPNKm8Zn1FgLVuupfOdcFHq14oMJcjEAdbqL63D3gxvICBabiBEp4IGjZRIIzRzj4GW8l0JiLYlpQL/hJrwNyZyQI5Bvuxq7SDx6307NWbxuBijzep/0ZBP9C7Dh0QpJATZWbrAqH6PpOlX6c1nb8nkveBvaj4Ik8U00aUgSyr2hz2DYObsS25ofKDvy98cJFvb/AbxKRfQd3EmiAV1fy4W/wM9WRFft2EQh1WtScngV/ssDkK7ObQPpWepGcf+nO6+3Upp3SBPphyhnUuECXP+qGyRJ7CORmFJ8ZvET3vQ0yDKIyBLrwo+e36qr3/3OOyIDDgrIEyk/vsv+3Gryh+Zg9z14CGUrd5Hq9BtylOtyVQ45AKxyfv7mxgus+1zRhkSfQzl81pMw6cP12j20M+wgkZHOMaYwDnMVOtG0Be/+GC0ZPuMDTitRMZ/YTyCRi5rMlD/jsLNk8roDrnjurvxgfuJfj1KahA7he2UQb0gTA0SW/k98UCeTEHHQmURiccX2I2deDBBKb7Ak8KwIu+pb1TLsSgd59iOjhFQOPymXa3aSM74VUzIWOreATW30Gqg/hfHvbuy5GEvy63ZXrZf8RaLO48/eTO8B533fPFakQKGDl4Cj7bvBD7pX6+Qjn+d99Qk17wLnqtkZnqhLo/cuzHrf30sVzNeOzR2oEyvyStHh0H7iVo+mzeHUClbHO5zEfAD92WiHmjgY+rynL2x8OgmcvhZ0O1iSQonJ3dNAh8NKi8/PXDxOII/JYtQYCv1yT6+d+hECf7r7cwqgOrnT16pD9UfyeC2ufvtcE19lULWuhRaBee63zgUfBLZbCTYy1CTR+10JJ/Rh4n22Hjd4xAsVsPa2x+gRdHuY9MNTSIZBI7Qav97rgFfy9Eug4gahddz8H6oOv/E3/vP8EgSqYOkw1DMEdU4dtdp/EdYOhlpvpLHioaT4hrksgtk7LqRpjcOeg37KCpwjkvCd7IfgCOGXx2oZTD8enJmjP0Uvgsrorfmv0CUTTmo1gtQC3fFDnvYi93GWSt9EKnPPeBsMpAwIdnXFoCLcFd3hAbRg6TaDRW1bZJ+zpzv3vruekIYH6vn18xukILse6JNN+hkD/lT7ub3MGFxfVi6kzIlBn02d01w28LU6qs+wsgQxazevOeIJHlt/8W3iOQNv9VL0FvcGPzJgvZxkT6PE9a0PSBzwguvZ7ogmBGtuaTVJugF/5WVAQfZ5AkeOXI8wDwOtMN50LvkCgR9mKQ9uC6O61Jud3b1Mc5wrpKyO3wP/+DdF3vEgguyk14fzbdPH5cuux+SUCxa5ymHGOoLunB9nbz5gR6Gde1p99UXTx8RMYPGZOIMnXPyTmY+jyiimvS8WCQF8GJa6X36XLc6m6PDlLXCfnzi4F3Acv17psIWmF8/n5tSdHHtLVzw/xi4LWuF59DfBd9whcdUnbg8OGQOn7ra9/SgH/qhfyaZUtgU5EiGbGp4HPbD3JMYP9Q0bmH+NMurr6OXnXkB2B9I5Oum15Aq5S772r5zKB5g79EfyRA/7iYi97iz2BonVfjOTmgx9caW19dwXXGW3BAZfn4KvWHXd/4UAghT9bmRVfgtcPGSxkOBJog0Sj/nIx+PTCkNl9JwJ5P2JsqHkN7pPDmnvbmUA2e+ttw9+CL5x/9dnHhUD3Cjjl9CvAH3lP9Tm4EujBYJuEYBX4ftvS1otueN5IZ1b7Vg0uGbMhRc+dQEHlmbeya8HdL/zR1fDAecWYPevYAF6mcKV/nyeBVmuvjlRoBt8X4nxG0gv3ZbNnussfwZ+9Ycrjv0ogAbEspdo28AcHdwyweuO6dIF2MrITfM6VtjiPvWtMN+JMF7h1u8Tc6DUCDWb+/i3SAy714V8b4YP70aWKwCESfO0b66jm6wRaO5uj/LyXro9ssthT7ovz9r/nm737wW+Z/i7Iv0GgIe5aKfXvdPdrYuOGZD8cf73B8+uGwa/913Q60h/Pt52rSztH6eL2lvfajQAC1VwVVE0ep+uDPTP+joF4fhbe8stmku6+r7OzM71JoMnE9XV7p+nq/3tX+ZNBBFLtJusWZ+l+78Ld+18wgaqfB059+AsucUfrivQtXK+Y/2pEL4Lfuc1LbAoh0LHSfe+Ml8ErCe9d7KEEOv9M1mIbQ/X/3GDe48Ii9pL6AZlJRnDvs2tdRm8TyHH08La3zOBLTgesv4bhOjN/UuMWG7hqydKh+nD8e2Luth47uErWhdlXEQRi8do/v4kTPKTYKCrzDoHuv1wdM7wB/LDp2Nq7kQQy8j6jV7QRXElok21gFIG0CqWU/PnB31kMZTlH4zpz2EXnuBB4bfHJOtMYvF9skQoW2AzeFq7fcDwW/1768NCgKDiz+XSeUhyBZM9VuhSKg/MX73WVuovrW3SMxI1t4Hqr1wvyxeN4vn++ckwK/EFd6GPGezjPSV5GgV3gtjfT1k1hF2t9vee7NHhrkYkR7T6BQsNiAl/Igl8lioKaEgi0ZVXCsp88eIpXQdzrBwRiF69JO6EALrRWOyjzIYF0BjichA/Sne/G4DOxiQR6esDBYkQZXFvAYq1fEq5jPD1+JSrg9xIGUuwf4bxyOF4TrAZuIcDCfzYZz9VKZbKnNcE9hT86aaYQaNZF7IP4UfBtkgdzZFNxnNndA6a0wS+Wa9Vueozr9uo8q8rj4FnWS9WsaQQ6d6LKJUoXnPuJUfoMdtbh3ExTfbr4s561/JZOoIwWC4Y9huDZ61eYmzMIdHrhW9CSEfiI+onwkkwCrbMXlm0xpstDaY2ptCy8j29ex/joAri/UZ9iZDaeA7meLF25BO5wTMrc+wmB2jVGRf+zAHePFnCwfIrzp6TBjsMa3LjoxTndHLxfX1EhKFtwR7U/25VyCaRrqepeYA+eUP2jSyIP51ta3T4/R/CzdQF2nPn4Xuxq3nTKBbz0az05j/3A6iO7xdzBzUPL9g4W4L1mt7TFb0/wcLMLth+fEciv0Luq2pvuXk/n+r9+jue3+1uPxl8HF2x9ci2tkEDm38VnrP3o8jbw9JmIF/jvZjrVKwaCP0l5xuP5EufnN4aatcHgb1+VvrhYhOe01LYfZAh4yTlPee1iAnFNfZF9FgbeJTQQL/eKQDdobGkBd8CnIhh6hEtwnfEwVzodDX5Zo32F6TXug9Xd85Jx4AfaDVkmsEd2WX6bjwcfbImY/PIGn2/l8nhzAnh0k9fbd6U4b6OSxVMTwYcu8ds+eYv75ulDN9ySwfdIXJmLLiOQlPinVUcfgyvkeVp7l+N8W6efI5QBbhN94LVZBa7n4qXXJrLo4mD77Kf2Ozxn+q5yff8U/GULbZVcJT6vvZuj7+WBu56t/SNYhfcmA9bPl5+BZ6ZZf2J4T6CN/96oohd0536kMmwEe7vazg6eYvBJWodkWzXeR/7TixguAT/IkpbxugbXMbbtV8pL6fLQZBdT6gcCeb5Ld40tp6urXs6HQ2oJVHDtXYpNJfibeRdbxzoCaRu5Th+qBi++IetgWI/vi2uRA3ct+HxGnsGhBrynjPiuH66nq2PrhoS3NhLoRU/t5/ImcB69bx/Ymgh03DqkOu4j+Ha+B3qT2FFeSZddG/iaxQ3vvjQTKLdFl1u1k+59UnXWl7cQ6PbYUTe+LvD2J0dQ+kf8XbsSFsa+gt8sZtS/3Yr3tQLFJ9UkndvdPOL0Cfffh2LXH/aCC9jWbjJsI1AOj46nSz/4ZsOWTqV2AvGp5d/T+g7+tzPBcUsHzmdtVUp0GDw9Ysfomk4CbTX8p/1nFDxNzP/oT+zeEV/Jj+Pg65Qe3fr0mUAygp/isybp6t71gOziL3jv2NbtfmMa/Ei0dM7DLgKFUSPeZ+bAOTenRfp1Eyj5ylLGnnnwvU29py2/Eohn1bo55n9090hj6J9WD54rPqx16F2mq28yb25JEwQ6OTbD9pqhBvrRwTO/N5AEskivao5mAt+77h2aw24kbFdsxwJue2rGsYfC5xU8UK2+Fvxh0ZxfBY1Ayzw7/gpzgM8P1Lqm9RKocn6v/iwnuG641dFb3wj08PJc20du8F9GHUt2fQTSTHT0esILXvSH696JfjxXVMWqBwqA8wqKcu0dINAwt4n8eWHwNfbL9hsHCXSr7p22ggjd7x89e/pn8P//3/gmmEsM3OiifEPPdwL1KKGh0a3gLuZhjeU/8P5y5ZjjB0nwOKPi/NQhAin/aBdK3QHuM1nkenOYQKKDn8au7Qb37L0taD2C55a0Q4OGMuDGXfvStEZxHTNdz7BXDvxO+Cv2XT8JdNdQRYN9P/jKM85zHGM4H+pqcoYOgO+ZVw35hX1l+sGBaiXwbZt07reNE8he+NVI8n/g3h/33H45QSBTvw1V11TBj9eOnY//hfcp84zyMxp051UazO01SSAJFpteuSPgpWYLT89O4bx6oSfJqQ1u6K6zVek3rmNPzsf+1AF3y/G+ITyN67CM/9b6k+ATZcFv/2EPiSz6mqEHLm/l3EPN4Pxk/10UcBp8/wUlomKWQIVTssWmRuAeFwfLU+YIlBdi16NsDL4s6RTo/wfvEQJ3JQQvgFs6EVJmf3E9n3gSN3cR/OPMjkK1eQJNnUnd3mkO3u9mIiy+gOPwyPVboRU48dTZZvUirv+cAhVRtnRxPn05vh+78GJopYM9OJucdub7f7jPPi8f0nEEN2dYfz9tCfd9vwL5nS7gPwLeXA5cJlD+a4MMVndwX7fjW8xXCHS4IPPgkCf443t1JWqrSPTpRdL0B2/wE3m79ooxkKhfcG97xnVwTk/viFWrSTR0wOTzTT/wP8WFDb3Yt5rzLJkHgmfu+TxcwUiiqgk9bfVg8P/SB0ceMZHozT7OUrFQunvU9a35+hoSzYRr6DKE092XqMYYE2YSSZ0YYu27A74pOk1RiYVEY22/f1RGg6cl21UJsJLorbvpSGoc+Df/Lbv/YB+NFucKuAeuuFR39TMbiR4FHjAxewAe1XMp++VaEk1lxTeqJYEbfPtZErOORLUm+03FU8ADvtjlOLGT6PvKej7GNPB7wcSNExwk+vdb6PdABnjyK7X9u9aTKCRe73dNNvgu+UctrJz4PbVy+bJy6O7Lh4mjP7BbOm25GJIPXnXgQEY1F4k4rjxtsn0Oft/Qqz91A4lG0lTOH3sJHj76bPUNbhI1XO3m2v0KvPt9H5MJD4kuGjiNcLwBV8nlGDmwkURHHyx+//UWnNVl37ONvCSaLvRgbq+gq6v9Z4ymsOet+XKsqIouns0efS18JEpf2vjyXg14yErMiRx+/J6Mu5B3HfipY3mJtwRIZHaT65dJIzh5/UOTuSCJaEPl71Va6OJpQ6NUhEg0/2hXqdgn8LvEnzYhYRJp8eh/Zuqg+64c7idz2De/2rFx+DN4VqbMpfZNJPo4m+PZ1A1+PlV3IX8ziezUP/4rIMC9HNw8b4uQaJk9IiuWRlf/vyV2WoqSyLSOdPPsA+9sadiouoVE+oOvLY0H6eoG27KCsBiJ7LsEvFWGwMftDirPYd/DO/tcfBQ8t/q6WJs4zhPuI+ws43R5Ml4/krsV398jTOE/f4Hnl4vcvSWB75GUlPSn3+B/1/ltMdtGohd7cn4XzdKd4/PRSGVJEhl1BBIP/oKLBZr38m4nUXtUztCNRXAJk6ENk9hzaIL8lsvg9huvSTZK4TgoN9hpM3z4n3eFCG/O2EGig+KFvXuYwFuimmd9d5LIg6vx6kYW8AMskc+NdpFIKIh9/wIb+K2GSyf27ibRtn/OG7+xgxe8ONy8VppExn9/8dVygm9P+U96ELvzfMChPG7wCXtt5/I9OH/8RYNjeemeP2cXf08G5+GGqsmrAuAzm1KTnGRJ9Ev6ot9FYfDq8rFgrb0k+mH8W/aICDjj61N6YnIkUt/stkZaDFz1Z/PyPPa/C1//8UiA3ztgHtkuTyLymij/oiR4ku+GVbn7SHRP4tDp/h3gzsmEwc39JHrlL1XUsBu80KfqtokCiXIFKIVCGfDQP9WP5Q+QqMZTn0yQA0+YGUhcp0iivZIBGf77wdefEb86gJ3hpVmUrSL4gxU/hbcHSSSZM5Z0Shnc9vPSl1glEl1+INSiqAK+pyzp3GVlEgVxDoqKqdGdy4MLFWqHSLSSqBbPpgnOrK+2RvA/Ep1q3SX9+wg4e4vWnknstUqJQz3a4LOT7gfrVEiU4BxaU32cLv6ZtZLJiERdjGPVebrgfz+pzLmrksgttOJ7vD648AVato4aiQ7H/d3hZwi+Ty5LWVydRKtKY6Ntz4JHHLxf+Bf7obhgQX0T8LHzL9haNfDzXzXUKJuCZ976q5GpSaLJt0ax28zAgx5fvuRzmESLh6QCOS3BexLYLuodIdHTDvm789bg3me/oO1HcR0WcqsfsAMvam5bvYT9RQFN5OMV8Iv9/7LbtXA+7HK6/9oJvPXWWZkn2iRyl9ksl+4K3pv9PcH3GInun+2buOMB3i+fOaivQ6IrR4parl4FfyGYwC11nESKDyI/WviA52i9E1/CLvLbdurkDfDHz4V520+QSGJaWUEpAHxOrWAk6ySJ9qFVj7YFgfuPe6X66JKI61rBtg0hdPciw/vgqVMkstJCn/7dBt96rqhIQo9E73Vzk4YjwD2XpLjnsUcr/AzrjAK3D+rWa9HHdSbjz8PKWHCzvmq3xwY4DqoNzXnx4HKsY14ep0nEU3x2y4ME8IPjeqbahiQKz02OD04E1w+ek9x8BveXj3G7XZPBuz/0tE1iv98o+930MXhaxoppjRGJfHUc3+lkgK8VsP54/yyJlpY13ypmg4/wcW6xP0eiq3H53dty6OpJwqKBijGJdr9O5efJBx++u/vyBhN8Xpv5r656TvddTOnmg9ifuLEtjL8A1+m9+F/JeVxXHZwfEcV0eStquXD7AolEyzXNG16D51c8f3DelESJfH5aJW/B+UuOCMtcxPPMHoFTmRXgsYzb/Rgu4f7+htU7rgrcLkX/Qwd2Wyft6oAacJtbjeOZZiSSZu7Y41wH3lYU9dfLnEQnFJLfmjaCe2xP/65tgefD1+l2J1ro/i6xpljYEve7o6TioU/gPz++th7H3pekumNXB3jVStlChRWOv3uDktAX8PYrPC7R1jifI5wc2L6CG/OWN5jZkKgjZVfVX4Kurs6XMsnb4rrhOLd/mEZXDwXWizPZ4XnpVX1TVx+4kVuJ2GfsTAcTA+sG6frmuteMWZfx/PbK2rhkCFxhgKve055Etya3GmSPgpcvvnc8eoVEMjlNV+6Pg7Odbf3D74DrfPaZ7JBJcKVFBYth7Pa55auvToP/Hl54/tqRRN+uz9+wnQM/uW1TX6gTiR72rd50bh78R1Hi9Fln3HdS279q/wNvTro2LOWC60mg2WulFfD4/jfv/mL3131Ssmt17f/8eISxd70riT63pXRtWgPunXqBN8ENz3WdqgLrWcElJGvibNxxnRQL8l5ZC94oETWj4EGi7hDzxUkOcNuMdweYPfE5dnQ+6ucC98w/c+EzdrH2jkudPOAjWoZWGV4kmjU4q1nLBy7tX6brdpVE+VImWq8F6fzCnU3q3ri+iX2+krMJ/MRofRPXNTxvcL4rTBIFd5RzvtCLvffDBv4ocfBR1aC2fB8SnReoTQrYBn5fjFnq+nUSqRKd6u5S4DXf5i4d8yXRwoACm80ucBRudF3gBu6nrN9/ndsDrrNnx7Uf2Mkt3XPH94LndF0xLvLD78/EJqK6D/xu/NbNgf44z8OdreQPgFd4nnyvG0CiwBiWFkklcOOwCe3NgbifTtaeFvoPnOMbU9Eo9u+B2f84VMEXQmJXvb5JohLJtBoGDfB3sQkywUEkIl4/y5s9DO66QUBNP5hEcfwNRSNa4Gm83PtFb5GIT3yIpHTAjQpD1o1h93y9elv7SXDBP941r0NIlPp2451aPXByfuRicCiuzxx8vG9Pg29u6ab0bpOoInql7JkReH3QURWRMLyv7WgMyjAGV99/IGAU+2yp45UHF+jOffpJ1qtwHP9dP9wiL4Gndz4qCIwg0UbzHYk3LcBfTfA9OHmHRF819/ZftQafNOK1ForEdb5sTsvRDnzj9oe8P7BrFLq2WlwBv+CWlV0Yhfd3jmSPc07gfqeVN/lG4z5V5qKs6wqe3X/OTSsGz/lPf2w57EF3HxUY83liSVRQObtN+So4l51iAw370q/7x/b6gDPcXah7Gofr3rbayO036PKk7dhT97skGj7l/XtzAHiS8k4HFI/rs1mOx8Yg8PfjD3jW3sP9S1tfYF0IuCpjYlIndpEFux6GMLq/m7CHNeU+7l/Wo2//RoBb1xuesUvA9yuguexXFPiRwg0h8g9IdE2VjfoRCz7tZPFwCftUwoNNtHjwfeLHo+sekkguwNPncwLdc34028Yk4vo2mTDfnAje2/Njq0kSiQR65+/VJIPvFE2sknhEojVHYg3KHoPXto+qTWDXETWRKcoAb+PtyihJJlGj1YmdedngX1jNRv1T8D7Ca66ZkQNONd/mPpaK56idsb5J+eAXb+pv5nmM8yHty+e7z8FPnSxbS2L/eF3qxJ2X4AKn6nsy0vAeWuI/EPwKPDbX645DOom0T3cn3HgDzhPUJK6Qgc/FQMrBq4wu/ks1D5exe7yyu+T8DrxO2Wq2NpNEygHxrnbvwScs8uWisvDzSzLSzT+Ar05M1jfKJtHZC9HTJvV094hZyVD0CYk4vfXMDZvAvzf7Kw1h/83V9+vkR/DTG91XP3uK98fdiklabeA/GXnzPXPwPe3QtVHvBBertlRSySWRA5eY3qEuujh7W+asycP3bizjnEIP+PVTvEvN2M1cO/1lKbpzdLoqdzefRIUFT2p3fqN7PkPUMZMCnA8FQru2DYDv2GN8WPwZidhvbC0Q/QHOJ0aIj2C/LF2mKzQCHsnEM/DsOYmSmyhO3jHwLEbGW56FJGK1C5jg/EXXd7Tz1v33Au9rfKk/1/6mqxuMXO6ML0n0fEiOhXkW3Om8zLsG7DITcmoMf8FZA9eNRxWR6LbKgwf/FsCDHmcuGRbj+WHclOvvEnjh8PKk8Cs8x27wzZxeVfc/7wgWqOvDPv1u7OwvRvBH2dN+2SX4+Ruyd/5kBlfwjRF2eI3nSZFMoSE2cFWF6Qdyb/BzVnqlBtjBq1cLLf7B7vnplGEvJ/hhHhZUXorzNncyheAGL0t4axX4Fp9L3mvWbl7wiBpFp6NlJNo++TiqUwA8ut7PhL2cRBbxmfvahMEFumJ2tmG/XVr2p0UE/Ju4Mxlfge+v37fuRjFw4V5hF+N3JNrBtLa7TgLcAd0bFqkk0avLcrM128HHvL6pD2DX+awv+34n+NbyRb/sKtwvbCxvv5MGZ9UcSbF/T6IMzUurymXB16rnpMlU4zknFsWXyoOzjKPQaezHvRaPvlYAP+GTe6qkhkSXBO8IvDoInrp1YvHaBxKVpY4zFx0Cl9vMFqZSSyIWBT6eFwg8O2VpgaGORNTqVf89VwfnHWg++QH7m70ZQQWHwVdvuRocWk+i1ROLI3la4LZRq1J0GrBbrnLI1QEvuGyTuL6RREOVORw5J8Gf/8y/1oa9VW6m6YkeeMnxz4fuNuF7Ovw5O/s0eEA9re9MM4m8ubUfZxmBKz5sshNsIdHMtyOvM43BfZaSOgnsncH1YxkXwA32nBZP/kiiPPk6lYxL4Bp2v/UvteL7LnKoIN2CLs9/XrUW/4T3IO8tyunW4GFTw+cHsX+45vA9zQ6co1RDIauNRFlnN+WnXQFfDgz7bdOO9+5jkrFpTuDrwitidnSQiDkk6G6aK/ipDX08P7E7askWpXmAmxpOX83rxPelXnwq7Sr4nvtzlQ6fcTxVDXXSfcBl+Md+7vmC9/GJyvfpN8CV+D7P/8J+m/2iUUYAePLnF6PPu0gU81WKLTMInPv+rQqXbhJdj+PvzgwBf5+k5yH3lUQR3hI1WWF093oHL+c0dqpJqyX7Dni6X3v4yx4SBTX5Tj+JpvvegbCfbgS+v6VlCjlx4PsS0J59JM5zYvle7j3wx/1TBjPY97v+tzH/AbgJS/r5Igrva9UuBQVJ4JE6p7XcaSQa3Rhv9TwFnJph5t/XS6K6vNSDL9LA9bXL6qexh7bf2VmUCW4X5XHh5Te8x300VHz1hO7c1+/77NqH6+3IlPnrXPA49nkZuX4SSTqa5JQW0MWt/YPDFPb12eHrywvBm58kRj4fINHebz5R74ro4tPlE+s0iPdr623S70vAz2fbeO/5TiLZkIChmlJwR/NLGuPY9WJuV9SVg9vr20zm/iDRf50KLxor6e5pla//5SH8/NTA9y3V4H8WMqalhkn084j1r0+14B7aNO0h7PuFCMXOBvCGvztvZo7geujQk9zVDP7vdESKxSjed+5eECNawW/mMKaI/STRl4ELlbR2cM0jsQG92Ne/6PTp/0x3jh4Hjz4aI1GU4VuDH93gorcWfhmP4366bZ3WKAG+pfaLj8AEnqN8ys9O0MAlg1pHP2Mvft4U/LsPXJ7zx6G4X3i/FpFpnRukq0uvhF1PTZLonFjfvsUh8NBGlzCOKRI92Ei8WhkFn3w4EtyIPc6Qz5BpAjzlapBlyG8SqalHcLJNgRcWaUhqTuM59qDCD44Z8JepUk2rZkgkmMjxlfsPeELkPoNy7G/q1g3zL4BXfLKt8J4l0Z8tO3k2L4HPvKllV5gjkT6bubH4qnrIk0e6Kr+xyw3mlW9nBP/0kcmg4A/el3mZ/pNmBpdKGzp2+S/+Xkazbjk28An7+W2S87he8ZRHKbKDrw5QHuzD7pW3wUKFE7xY4VnwowV8jgpn9TW5wSv6DdeeW8T1RyjswjFecA1C1nXjPxKpvE8NOiUA/tFTrbwV+4GE+LozwuBn2W//DFvCdZXVXPKCCPiRadalw8skkrqxkmohBm518/3UqhUS/bKxOXBZAnxoY0nDW+xZ8nEjztvB3VYNB3muopDXqeslXjvBN6Sc2bqXgUJuezY9viENvu8YU+ZP7CkqV7KCZem+1+Q3W9ZqCn3+bVUXIQ8+Ky2uf4mRQiPlq5nuKoBHCMf7CjFRKIjn0PnEg+ApfscjOrHr2a77lHYIvLBY+0bkGgrV7718MQeBvxCMNNBiptD5H3prX6iD/2ERZl/NQiHjpbef3hwGV6emst9iZ/n1+EWVFnjZHM92D1YKBexbetagQ/ecwsDbe9go9OVoXX3bSfBfV1DrEPZ/6fP/vuqBs9zS+Zu6lkItNXeO958GZz//hMl4HYXYt/uWjBqB7z1pNMPNTiEbrar/po3BBcrO1TVh98g26F28AF69ptA3iINChdXSSUxm4Onhpvz/rafQzc3a7hyWdHEusLg7i11OIcWGzwa8vLVqJp+TQrNROzxFL4P3nrqmaM1Foen8vhQpB/B/cZEXRTZQaPPGqsG9zuCRiyt2X7B7Ha3SVHYDdx1tNYrkplBDC/FO0xP8Z/WK1BEenCfSa8+c9AbP+RlNLWHX+HWY5ex18MoPQR7FGymU+jC0w8wPPPcVOXmFF8ftTVOpfSD4ia0PdSX4KPTzM2u5RzD4b+eKGAJ7oM/BHr9Q8KNrdEpi+SlkoGDEHRYOfvmIWqW2AIWuxZlY3Y0E//IwLW+VIIV+b1HtSI6hu0d2ztdLsGc5LJs8vUsXf8E8GUchCtmxRa+8vE/3HG6jWglhCk0GTZRXPAS3L3dVJbB/c+G53/AIvD5gVXLMJgqVmv8N60wF76pn6D26mUILo/ce9KaDDyx6MS5j/5s8/H40i+5+BVmuKxKh0ATPEPPcU3Dxlvo5O1EKcX8Lt2LIB59EWR9Et1DI+eEnGvtz8JGjy16fsbMSBa4CL8FNTrVzhItR6I3SFjGJV3Txr9kaoiqO42wgMirzBrx2w8zALPagd2ktymXgp9M1JXK34jwUym46+g782g8+rUsSFBJdvW3Q4D24n9YVXd5tFHLi5uO/9AGc88ARpUbsWqNullfqwQ9uyWL1k6QQTUqx+WoT3Tm63imV306hc47nTwZ/BL+ftKQ7jL3epGc0pg18kONvfZIUhbbF5T5O7gRf3n9jm94OCumWNLjmdtH1l6AYqzU7KbTuyh7T1z3gYvbyt99g5zrTYfGBArc9ZxXtsItC40IvbrZ/A1+slPIR200hebOa8t4BcBceP+3P2A9+YuQe/wHe/N5uMVSaQlZcl/0XRsCvqI1GH9qD861xkpV1HFxo9eq1k9i7n8bk8k7SfZfXC+t0GQoZnj1iu3Ua/CnfUtYZWQrpBLKivXPga/UHGtn2Uiips00GzYP7JFu3l2FftZSodOIf+Evn0HInOQrtz7l00WQFvPW/YxHi8hSqChdMtlvdAPOkT77KZ+xy+pVzXmvABVNedobsw+dbcNLuFiu4i6jpSaX9FJI8XTF7dx34areC3DHsMrOsSenrwXu4ssaSFSgkfUTq/IsN4DbORzboHaAQ/z9ehaqN4NfZYgQZFXG/a27a8YkfXP90yJpi7F5OGgd6hcB9GnZ+tj5IoVuJnqYTm8H/9l0PFVCi0Du2iylLW8DF+P1EG7G/cpubZ5cAL+2Xe+ijTKHhOAXHTdvBv1U8+Lv7EIWKtwn+27UTXESyWImG3fH7/XRlaXCDuFuXov6jEIrOs9SRBW8K4LysqoL78uApZCIPvtdBz2gKe0bqDXl7BfCothNSaYhCu4Jl1HwO0j1/FzOlr0qh5/oXbMMPgZ/44+PBqEYhhiaGp4kI/NmL51MvsZc952PMUwdfR2TqWapTyKcu3rPsMN3zJ87Hb9SgUEHHVcYWLfDey11lNdjfPHzzlNIBt2zlq3fXxHHr17ObOAk+/3BTicRhXLfdlNVX9Ojy6sTo7U7sJhud93EZgidaBagGHcHnFTmCxM7SnYvlQI/8UQr55j22lDMB52nacG4Au5NibJqGKXiq4Pq3sVo4zstF86fNwN+1fV2lro3rTyPjZWtL8F0enjunsJvYX532sqHL51vfD6Qeo1B4Afu925fBq29J7dDVoVCuRaleogP4sQXV5SXsHCY+kvnO4N0WsiV5x3EdsNLe+M4NnOXoXwOTE/genRERbvOk+/32h51sJym0uDytNOAN/jSM/+Br7Mr7atxmr4Pvn3EJsNalUHlj6AcWf/BHIzn5G09RSDZBWVboJvj5yery99g13b683H0L/GRkRaGzHs4HeYNT6DZ4oXbSbRF9XP8Lc9foR9Dl/1PTw83YOWq/dlhGgcfJs3z3NqDQ2uNdpV6xdHnifN92+2kK2Yskl4bFg+sOcX3qxI4EpToeJYBf3uIhHGhIoWhBJ6bCRLrzyvhwTOYMhVSWrpysSQa3W2Q0JbFzpwsXdj0GP/tsr+FtI3zuo+67f2aAh2qfklU4i+tnsWvlcjb4uIHZr37s/w2sd+DOBf9y1jo26hyeB4w05CQLwH/3XxI8ZEyhG3NsXEqF4Md99YOGsW9MP898soiu3r481HHXhEKD6vt5zUvAa7jEmNXO4/tbdueQZyl4uxjD5nHsZrMXr4eVgy+50vgfXKDQjy+ZncmV4DtiSuc0TSlkrn3u8MtqunNhu/9mEruPgvvHulq6+mzncSnpIoXI0EknsgH8HzL6efQShZZ21e+YaqY7LyEV42nsp9hnF9d8Ag8P2ZWfbIbzmd/lh1AHeBWf2KC2Oe47SgojMl/ArYy2rMxgP2StwnT4K7j6153LKRYUenb75gFjEvzWbvW+Y5a4799bCXTqBS/us3kyi13WN+9HUD94ye1HBqlWFOrdG2T+8Dt4S/Fg/zFrCrVm+889GwaP/6NyZhZ7bEdi2oef4Kx9+fkpNhTKyWm1JibAbzDJj2jb4nhu5dOYmgLPn2llncF+dr/dAZZZ8Meat9iT7fA83P1eY/Nfur4QYjRz9DLeg9ZstpVfBJ/SO1w5hX2sxCVDexlc8YCec6I9hdRHSv9eZGj8n4s2X2c6fAXHOf63pScT+M3MhusT2DVKuUciWMCTzx78et8BzzOneYPT14Kv9mkRVHOk0FvzGcVSDvDUtBCVUewVg0+Z2rjAq6zsjsY5UaitR2Z4iAd8vYn7vkPO+O8e8R9Y5gMPFcxZ8x272o74OV4h8AhF9rd3XPBcfctWTHozeIdu0mkFV1wfLGYsNLeAO/8xaadhl6mWqzDZCv6p7vi+EDcKheZtlnWTBK8853xNxp1CbJLP3oTtADc7Up/Rhd3wQJ9x2m7w/dvPvPTzwPvdcD5PqQw4zz3hrO2eFLLQ5BxskwOXkxbybcX+z2ClaWQ/+JYQA0UvL7xfiF9tYjgI/kGloUvkKoViyt36BQ+BW/+6blKLvUd2jEsO0cV/n3O1gzeFasKIM8fUwa/kZHDyXsP50KNcZH4YfNO4sGoZdgEZlh0+WuDnH3SdtvCh0MqDA8VxOuB7j389sfY6hSJ3153NOwm+mCa+qxD7qflnPB/0wD2Vi8eMfClUxDP2nToN/uJlbOwyduZoj9Y5I/DNOWWbMm9QKOzmkU+cJuC+5fvCdfwodInp3LCUKfh0xD9qCvu9Hdn86mbgsyW8vAn+uM6s22VqYgl+jhYgqxKA55Aq2lt3G/Ajqeqyg9hTbMpkIy+DaySf2xgWiM+Fr6Is2wF8t3c9KXMTx+EndbHKGVyxPfr2Z+zdDHxChBvd+xwrEvIJopCS16WfM57gOsH7orcE4zjblXSsvwZ+bSvP6AfsZvMbO6R8wYXr9aTsb1HI47DbiLo/uAjf72NcIRQ67NTMd+EmeOvzWb1i7G8ShEy8boG3KJv+ZxxKocxBo1cxt+ny1kSaYwV7tecNqbwI8KkXllXpt/Fz3EILa6PAeYfXGGuFUYiTwVmvL5buvFK4u8awKx+WYf0XDx5yI0IxJpxCcTaVn/kegPft9LixP4JC56M3l+5NAo8/9vHJV+zvhlWLj6eAMwU9KPG9Q6FPDyXqbNLAh3y7c8QiKXSz7f2vwEzwE70RgR+wv3vNK5P8hK6+6b5WsYuikLYvf/CbXPAEz/O97NEU6jj+fqqzAPzkv2uWz7FPGXJ5TBaC77nN+9EgBudb/eJ69mLw5Q/Sm/5gJztuvNv+GvyLyYeTD2MpZJoTd0vjLfi2GcrqvzgK9fvus7xYAf5a0dvsG/awAJOzPlXgOR0Jajfv4j4ystrifg24m5MKs2Q8hRRHJYJe1oETr+yf1WNnLn37trURnNlQ/D/7exRyjqpiG2sBd5y1eMZxH+8XabKOrG3gvRpyzM+xl+xkHJHoBPcbi1TTT6DQHXP5a2pd4HWJPmYz2BmC3oqZ9oCHL89b3XtAoTON8b3XKLp8q1qnq/iQQqUuZS/vfwN3jXuxqQe7csmO5KIB8MEtkx99EnG/7u5KbvtB9/4CtVabkyh0mreqeGKEro9IKfRVYI/P6+1fNw6+YZW62qVHuO/0SkvumATffvJnMEMyrhsTmX5HpsG138s/S8POIqL+y2KOLk/YN5drpFCI9fk/94B5uvpDPnk2iF12pJUr5R/4z/7uW8GpFCpc/+p92Qp4+6cCdcnHFMqzfhrWs7oJ6ozR7oFa7JsUM2z/rgF/sN3A1iaNQqONqef52MCrpiXaWdIp9NPmgfU+dvAeh/QtT7A3ng29pc8Jbqz1yUArA/fNYZsyZ25wboV8+2HsSWZyrFG84GKjyrahmRTy39Bvly8AziBwQ1sqi0JbD7v0NQmDe7t5cNZj/3Ssx3FUBDzv+dZSm2wKJbrwc7OJg68LCtNmeYLnLratTdu3gZum5ZZnYX9i8efBESnw8spQviNP8f7VFnnDahd44t2tp79jP581cDVoD/jrDl/PoBwK2eyfDE3fC75z3wPfrbkUOt5RUPB+H118rnjZvcce9FlwtO8AOKu8kJJZHoUux+5SZlAGV0M3f61gVzSjPd6iAm6vVXQ7OZ9CQg93i6iqgaswP2P9r4BCIve4nl/UBK+U9bhCYD/wLMjI7yi4gT9rsfczCh1Rvbkx5Rh4ev7lfv7n+N5lMg9VnAB/5fJophi7iBJbK+0U+LfgtJ8GhRTacyG4edkAvDHdp24K+8MrHr0iRuAuwTtDo15QqL2ugwUZg4t+fy4t/RLvfa0PD1+8QHfuvlyvG7H7DtQk+F0Cd2TT2W5bRKG9NscZUi3ANTXNfdYU4/wp3+VXaQ0eN2JUlIZ9r/YF7j47ut8XS7ejV/j3zkQpgwN4rMX3ThJ76v3Uq+LO4GyF/mXeJbhvSmbraLiBhxsz3OZ7jfP55oi8pSf40c12Si+xl/Ob7w32Bn//6s0n3TcUUji+TjPrOnjr4IzOGHax8F77Oj/wu1ab8kJLcT6jr0+GA8HD/uydkniL4/P59wLbLXCvcweEq7A3vpE033Ub/OqxPTsvlOG5wtiJdjwC/M9tAZF57L7b6pwco8Bfdv2Zu1tOIalwKb7oWLr8n24pkq2gUP7inbbCeHCr5CSjZuy+w1OPOxLALydY9dq8o1BT9cmQ2UTw+rSdxxkrKfRlVUoAfwr4xxvjj5KxZ/FQ0QfT6OrGxLPOg1UU2u/CWGySCf7ihdtkJ/bLUewTvk/AP0QqTTm9x/n8/bdyai74hCZz19pqPGeOPE9+XwC+PqH7cSZ2Fj41vu+F4Od1Xuqp1uA9a+BRGksx+AXxhB892O2bqzR2vgbv+xZ6yeMDhYSPZ88ffwu+QSfkHWct7lM0rRqnCnDzbfGMOdhPMzxOj62iy9t9Rbs16/A+vjfnfnENeMV/P5Ro2A//Mk3trgPXYJbec7Ue1403b8oXG8G7DMKYuRtwveIq/iXyEdxnbKU6F7uZp46Ceht48L0o68ONeL518Iqx6qTLQwHlCRp2F295httddH3kIJPJ1SYKiYtcC87rAe+uHMvb0Iznom+HRT5R4ITH3EAO9oijMU3T38Bvbdm6SrMFf9fXM3f4B8FX33ZnoLB3bI6xUB6iyxOvsSGPjxT6/Ujp5MVR8OLiiJfrW/GcNnDixM1xuvu1zsgyG7vJ1Q+XsifBQzROLKBPuI8MJ4Y2TdN9r6SLRzd2k8qmml9z4As3aj47t+G8jdDl3bhAlz/82sJs7XiuI8WuKS6Bu79ZdeQxdsP//ps+v6r5fy60d9zwYAeFjqom+Qcwgqtrc+m0Ye/2OCiexQzu1WK/za4T9y8nzu5GNvC42wzfV32mkEOlQNovdvBK7Y7bCdjvLOr6b+Sie05PP4/sFzz3Fj9zPcgD7s0qd7MO+62bct6mfOA9qe+7TLvw+yy2x90UBP/nfG/DHHbf4vD3TzaBhx55Jnunm0KBWkZrPoqC+/5av1/iK4Ven5A9Py0OLqpUIvIW+6TphjoBSfC1s0/H9Xoo1MA3e1hlB13cfg0/Hsb+letLt8Vu8Jt/PJT9CArdHynwuy0DXkXpl/KSFDJWuab0TA78kUuASB5283w5ts/7wffeZLRVp/C88bn954IiOK2/51439tdGhv1bDoGfNmPLdaThPb2jaOwIAo9tjc5g6qWQ09jPtQ7q4APLrjcfYv+iMXso7jBdnCsLj8p+w/uUb1PgGy1w46GTUx+wl6nYkb064Hc1j/ub9FFo2+4GbWZdcMbc3JlJ7AZj3xt364M7jjuevNVPIUfJ0osGhuBDtPt3hAdwngSqsl47C96mL/XiOfbnT91qUk3Av2wSLzs8iOfMwyfv1pmCj3OF5PZgP8XQ5DVhBn6O8Zy/03cKqYQOOvJagefVP1Bi+kEhppB470O24OX7dXoSsPPldt+3sAd/Kep0UXoI95G0Jw1hjuCrz7M0VmE32ryK84ULuFUlr9CZYQoNNn61+eoO/kM8SXcUu8t52c5VV8G7ziVdvjGCf39z2UDKB/yrsoA99yiFNsyoDOneAO9I2aCXhT3t0tgdrwDwlfNhm5R+4jp8g0ErJYju+ceCWlqwq6725q0LAd+pxmBpNobnkPQTcxNh4OsEGL/NYBcXuDbKF0mXh9nhaqHjFLokOD+lEgN+rCEpVHiCQr8ufmC3uQt+xFCxuAD7m8yvSlH3wXm2XapT+0WhB5my10segitz873rxI6EP3zqfQQeM2eSZDOJz7c6RpH1MbhCnvzFBeyHTWJeymbQ/Z4jheXOFK4njyvUzmWDn51NiRf9jfdZw40DATngt1QU2V5gn1O4cz8nH9yyxs5ccxr3KRaJix3Pwf3NFR5/wR4f2nHw30vwNzMpH2xnKGTne2/7thJwGaMnrQvY457aSJ0sBde31nsXMUuhyja1Q17l4ORy0l2ROZwnb0UtUivBG5YidJ9jZ5T+l9RQDW6runVS7Q+eb8fbRn7Xgh/PMPPswL6qNlF7UyO4Hsuxfsu/eI66cbrscAt48lGa/Bz26r45NadP4KkaW+xD5nF/KfXtSeigO8eeDaECC/i7OgaC338Bnx0pCnuKPXNhq+bYV7p+ob/OTWmRQhP/FHn5KLr6PM2n1oS98cnmefQNPDrv64zJPwqFtzT/shsAn7xgGDmG3UpZbT7uB13dHg7n8F2ikGW1B2/FCN3f3eXnyrGM+84BK83hMbp+wba3/BH25Mtrb3FPgstapI9Lr1DIWfZSz6FpcEGhbsYK7HcvmKnZzNE5V9vKiVU0lFzH+jZmHvzk9ug+Cnuvpt7Rsn90fUed/6kDAw0V5+3/8WMF/KCG7Zkl7Ie7nt/fwNjyP4/nCB6JWE1DKY/KTQ4xgzsGOZlvYqSh8q9n5GzYwHXCd1TlYney9hKOZQdfWFO8RpkJu6gQfzkneFQ3j2wjdrO+g9uGucGth46qnltDQxW32w7z8IFL8BsoDGOfmCOuqgiCFx8/wO3FTEN7WU9X2G0CP+ow17GGhYZKHu3jixcFP2sa63MXe0jCVf9KcfCsNRxsW1lpKLpHaOnnNnAlbdvrhdgfH+GL4N8BbsGZ9Rmx0ZBbpZW0xm7wVyr1Gz9iv7ubqc9RBnx9xaeD59fiv+s8lvVQji4O7lWao9jTXQX9aveDp2kn7b+6joakhG7Z/VYE/ythwc7MTkMyutLWIofAQyf4G+KwNy6weRxDdM+PLLMX46ChDmb+e57q4NHj+jMF2Dea6jakHQY/PUOaH1pPQ6pj+etbtcDHw8+XNGD/+kjaelEH/NmjjqkznDRkfKmhdbsu+AEeTe5B7Czi13VO64PbfXkm4MJFQxLtql/9DcFt2wTWLGMvu8TtnX8WPHvCvytsA/6uip87e0zAvwiMRvFz09BOWt0E80Xw30pn9mRgTyp8XCNvDr5fte6FLA8Nvd3tnnfJClxqI9pcjp1RUynrji14TNo7B+2NNPR9bKKw1B7cv+tYxmfsiZvvtA45gh9P6a8046Uh3RbOlY2u4Hd+hFaPY2eZcVFV9wAXfYjyvPnwfQwriHO6Ci6dzeqzhh/HJ7zyb5IPOP/id5kY7Mu/0pwab4DH3vzauEmAhrqKTv39EwAeuee7zhPsm77UxG4LBlcbXftSXpCGJPUWVAxCwXdmHl/1DvtOibF//uHgLCfz5I8J0RA6Gd9cEAne17HrxGfsxq2T+WQM+PK2luOXhGno3JP51LXx4L/kY+V+Yp/tyclUTAAPGr++7LGJhj7arby1TgTvVo96vmozDV08+3vgbjLd+0s0aYVj58i9sbn6MfilQLk6XhEa4rVJsZ3KABc6WbcrFfvDWN0Pok/A714N99wpiu/dvjD5k7l0933aP7sIO7fhsZfXC8BLnz2tUNlCQ4X/wjRzC8FZU1nK6rFL7D869LUI/NyrpBR9MRqaYb2WyPoaXPL7ZTsSe+RNEbMDb8FlRd0FrcVp6FChjKJ1BbiHUemzX9h3pDzZEl9Fd78C0G7vrTRkahIkVFMDzhi9Jmq1BA21z5Rvm64DT/Va3x2O/bjPKXXxJvDNu8+z8G6jIf8VBWe9j+ANjyc3JWNfjL3yzL8N/FBLi8B2SRrapzW28qwTXDt9duEZdne5QrPeLnB2wcvVittpaN7qVed6Arx/q7RrFfaWP3NnVWh0deCNKssxKRr6seQw4dAHHtCaFdiOfXMUX/yjQXCD82aDxjtw/Kt/Hm8ZAtc447p7AHvUi2HepVG6fvSSMLbfieuYJ+vk7glwmyspTtPYT+88Qpyfousvnu8u++yiIeXhpK6IGXDDxv+OM+7GfaGZ5XvZH7rnm27aGI49cCaAcXwBPGH3hffc0vi++zLLb16m63e7Vhs9xP77VrTbCYaPMI8ZcLSL7aGhTzLCH3yZwIuS/eWfYq9PeLy9gAV8lMnUR1aGhg4MiCTS1oKX+WU/LcF+Ym+kKOd68BzWixUqsjivskaL0AZw9we33nzA/sFKxsR540e6PNmSeHwvDf25a8T9mB98qFTaogO7xznTnjYh8HOqhRuM5Wio76vKy9Ui4MoleVnfsD/5byZJXgw8Rkhc3EYe15987/uWEuCZVjxB49gf6TWmxW8HZ7wb2Oy2j4b4DPsqaneCuz12WZzHHtX/5ucfaXCGsH4u//009G2b7o4de8EXtLvYmRVwX9BJ8jLeBz5O6f0K/38PSPoSfoDufdRPv95wAOfJ3LEj5Urgch7fbO5j/9qdVjvxH/h3179LmxRpyO9citEWNXCdg8nX0rBfeKo8r6cJvq+2g9p+kIYsF1xzbx4Ff8mfuD0fu5WfqmPxMXDe3XNGcko0xHMlRW3oBN37Mww5lmBnmg3bJqgHvj7B6cohZdy/dJcFdU6DB4/HnKrCrvBiRsTXiO57GU4JHzmE76+B3b5nxuCrOnObG7EvXDEy7rsAbmmZban7Hw0JK5RG85jRxeGF5kAHdpmRiK7DluCf3gVr4QKAqMrGPVdtwF+FX7lLYi/863gv5zK4Lf9i7SVEQ1wt7uspB/ApC/lvg9g1fLrucbqAZ7jyf7NVpSF7tVgZdXdw9sNPa8ewx5imdrt7gf8hR+Oc1WjoHvdSTPY1cOdDtKMz2A8mp5v0+IJXWwX3e6nTkJhG1H6OAPBrJv0Wi9irNd6KqgaBX9zyp+mGBg3dHBAXcgsB9y75ILRaE/cp6yqJrDDwDRKnTgVjF+GORV/vgOfZJVxhPUxDG3ZHX2aPoTvfiFSncOxo8VUmuguuFHX53PojOH/qGKZc74O7ev3dEYN93Vf741kPwQ9qH+/jOUpDz7wnS74+Atdms/W7hz1+Okye4zF4WtkJJkEtGvobo/BONQPcz3bFKRH7p9QJY/dscGNuv/ebtWmI36GA+UkO+Ni7j4sp/8ekfYdj9b4BALdChESolC0aJGVkHNlp2EUSki0ZGSWr0EAkI0WyiZCsiIhCEVmRvK+yIopCyeh3f//53effz3Wu8z7nee71XIBHaXq8HHiMvt13ZouwHoXo8957i+MJ+kHVMeFM8GCDaSeNUtL+bClZL34Y8lE0xdS3Ap2H5/hoDri0pophfhX6+X3dDyWPUIgkmpZT1Br0zwFSGvngHI+V/Ljq0XsW7Vt3HaUQbikxGTqNpDgsClIuBLcTb6D4N6Hz5V66I30M+n7KO8niN+huk+bvi8GNzAtDR9rQ9YMEFmT0IX+fWP7ge0+qq+fbaJ+Cty5/cDrajW7XYDcna0AhSuL55kI+oN8MnWwrBU/t2Xyr/CP65ueWt/YbUghT3o/y3wbRs73q95eDe5cbzgp8Rl8p5W2UM6IQFzkCqkxG0HfcPKNYAf4y6MSdG+PoHisZ8fLG0AftPvnXTpLOfROlrwK8XYDpwq9p9IyvG+gVTGD/2bv8JWZJddJHk7sS/Gms0h3LOfSItgvrFEyhD7IpV8X+Rv+4mPWtAtziS/tM01/0b4wfn8gfpxADXj/lVlZIcULDZVUBHiKeGrmXth1/95fRL7kTFMLd6v2sAwO61Lf7buXg6aGh9ilM6H/nfnTsN6MQv5afTnayoEduNdxcBr5hj0UgMzs6vWe93j5zChEb7i2kyole8U/9zFPwEafVLi9udMXuD9Z7T8L8pjkbn8eLfmolRPsJ+ELwIQfqZnTJGxpceyyg/0bQ6W7chj4etq2pEPzHe16Fw0LoW+g2ntl9CvKlLlQ+RBQ9eJ3kSD64cpOmdsV2dI7SU0d3WML5mhifnd6BTstckpILztiff1tECr2Bd2eP+GkKMf7q0DtzGdLzv1p+ZYIfiJLYHLMPPT0vZlHYCs4rTcP7tTz6m8MhYw/Bb/omUJcPoL+fSKnaZg1z4xV+c1lVdOO4r97J4LaK7z87HUQXPmXLt9mGQhznLL74UBP9kNH69ETwqZBSwQ866FzXZzdsPANzL/3HXrbD6Awca11iwTnZ+ZM1j6H3/jF7xGFLIbT5fdz9DdHDTgx3RIKfyx02LjFBP6jyiLL2LOS7lLX2xAl0/+dFXeHgFpLjOoIWpPePzxfR21GILN4LZidOk+KkM9ArGHzCh87vlg169a0j21bAOV5HZb86S4q3PTbFF+1hn0M5R5Yd0J+9rZVcAB+XvbFnnwt6jJfDTU8HCpFjMhPh4oauomzZ+R3c20l9Id2DdL4H0mldHCnEpflL5z9eIJ1LiALfOHjD5fjfnH7oI+LCPLZOFEImNOrWIX9SPBA2SxTw4Nun94UEopcM/W466UwhjHcyTFSGoHsIfPXvBefov1gwE4p+kXMfr5EL5KNIdaDEdfT7rYNJbeBBsQ1W1hHow/bj9Idc4T775Jb+3Vvo8QtGpo3gV1j4jnXcRpeJFb5FnIN6JWlhwRyP7mxgVlgFfvm+sa/aXXRZ3YWy/W6w/unlNL/76KUxq5nF4P6PjQaKH6AbHvTy33meQmxyMRCZSENP8ziumA0uUT57USiLFD+KjyiC7jBvCOylmueiTxe7u9wHH1BgM47NR1eYyadu9KAQz+ICe94Uog9ynFaKAb/5OsSevoQUDxI3Alk8KUTYmQ2MymXoGsbSeaHgrSs7Sy9Uom/LM6peBTeQeuP+uBo9UGO+1M8L6s/Nr0pjtaS6qrQp4Sc4f/6VjQIv0R0L6k67XoA5YXvcyolX6G8Lp9nHwKOT+OZimknPW6ZnW3lDvt9nXWx5S9rnziGxfvCpJsd19O3otpL5kUY+FOJg9U4p5U5Svb1MP/AWnGODwWnvHvTasW/rtXwpxLzT++TCPvTRq/ZSteD2NvkT4wPo1ue9ZeX9KMTjxH5NISr6XONmwWLwpYIThSe/oGc8NJuTuEghtNSFxONGSb5NpjgN/NyiTEHbV3Qbi2zjzZdgLvUOU2OaQg/3qqLEgn834x1W+4E+dfW8Ias/3HMPDd+59BM9N68p/yq42rcRo9J59DV0r6aXwLeM8gp+/4N+7ZET74XLED+Dvkvbl9HH6iokpsA/X6YZtfmHzm37ROhsANxHyo5/P0rbgXFYZEb3CXyTpMrsJB16cUPRG+NACrHRTWbpGgM614vKS2/BhU7KrBNjRN9Z571BIwjqcMMB0ZdM6MujX29XgU8GHdawWoteq8+9KBMM+2Nv47TMgj7C/1cnDzxe/1JC0jp0znPJgYIhFOIOZ9wbOXZ0YeuV5ERwlrCCNd0c6Lt4BDLYr1CIwCv1Oh6c6BeL6G+HgX//0hHDzoUeduSx/TL4s6C+oXxu9LXs20S9rsL9aG+v/CEe9B/cZi0T4By9TfFjvOgnr1getw6F+qOZ//fqJvQM3z1ve8FZzQPthbagH+fp2n40DPryD9X+Wn50+WAd1wbw318mjU5tQ1f7EH1XMZxCJK4P7loUQE9XKSwoAh8yWT6ZKETa557MXLFrFGI50nJinwj6npfekffBbyakBXaKoreIiZhxXqcQMfqvN7uLo0eJFLFeAw9IaKlhk0CvpGzJWQaX1ctzyJdEr77kssPzBtxnD9nyHdpJirctD+PHwUO959vHdqGvG6n+euom3GsKLG+FSqFrLdaJdIIPdiQZC+8hxVvQE22dCOhfL3ME6mTQ99+LNnwObnwm7KelLDr3eUtNmUgKwX1nT+vSPvQc4a0C2eBFcjkFSXLobB87Pm+OohAt0uN35BXQY6ouRUaDe9t8D+lRRH8ywS/AcItC7Cmq8vFSQpeIepbkBz68fMiTUwX98xuj5SnwIal7F4pU0f80T2rbRMM8IJkXcFQNvenx1Ys94GJdF6K+HUTvSBWIOxRDIXauX8q4oYHe86ouoQacpkmxfrsWeoO2U4jMbYhDitToK22SH9pikgUuodzHcVYXfcdCH/umWIi3ZtmDdHroEV6ZTyLBGV2Iiw8Pk+J8IkiZ5g70BdbFCtWj6M7B54q8wMtjT698OobObH2eZRzcaeLcIX8D9P7ia0dPxsGctiiavMkI3f1+pV8buF5+yHyFMfptXYZItXgKcX4yxPS4KbrsZ9drT8HXpok8nzuOfvXWnLN4AoUQrjoreceMdC4XU+SSwCWFNFJkTqIPtjpNsiZSiL/1z3k7LNBVnliEB4IPXm+/62aJvmrgzTILfvXMRUE2K/TDvZU+tncpBJNyZWG+NfoVF4m3PeCzdDc19M6gKyq9ZtJNgjjPmqJ8tUXf6x63qwpcgpMSfM0O3WV/vOKuexTi7v5TkuIO6Kzlb6QegJfT2vU1OqJ7bZVft/4+hdhqtxBl64wul/jpfQh4tz67Hp0rOp9+TdAv8CMlj9alnUNn9xjYaJdMIc4GtPQQ59E1JRXjesEt0x2zKO7oGzP7/uqkwP1oQ7h/gCf6evbnh56BS9cLmPFfQF+4Mxq84wGFyE2VVar2Rq85c+LhfXDttBeiJ33Rr+dw5a5LpRB2z+q5F/3Qn0bz3w0Abx2QZ717Cb1R94L7d/DcZQFm+cukfkGzVcbqIfSd9X6svQHoL0f4PraDx65T3egdhF4n4uyilgb3lLHzYtwhpPd/2zBaDP41llX56RV0Y5eNOkLpFOLUWg5zo1B0sfdet2+D86j5XZ4NQxc6sqeRNoNCSElpZcdcQ7diPUr1ABd/69UrfQNdWrX1y2fwMXY6tvab6Czcxe8MMylE4+z0IbdI9IfP/6bXgwe67o9iu4Xe7VBoJZNFIQi/3t6CaPQSrTaGNPB49nbxI7fRQ8LNY9dnwz1CcmvAt1j0spOmzMHgZxtq+2/Gof/8+dL+B/iGD0+UdySQ4io48/HpHFin1VxWSyJpDpFd/tQGvtU8dKNTEilfVFrnlHMpxI4XVhHM99En2nnm88HtboUy5SaT+iM/ZXBzHoXIb5i5ofMAPdRUtOgGuM6p9A3jqaS8KPjm+Af8u2liWngaOr2xHKvDIwpRU9gmJ56BrnuZMaEHnLDT6HyViR578vRazXzIC78FL7ts0v4LqtmVgPuNj2xZk4tuT1uYJ1gA83zJujeZeegr0o96b4Hz9LsEauajP6PKTS2DnzxFozhSgL5V8/ik82OoeyrNi1cLSf0ihuV9H3j35fo6kWJS3C6aPtQupBCaWyejGp6Q5rqSA2al4IWCaja2T0n7OVP1R6iIQlTeqD9AX4buP94XEg3uZuG6OaMcvfNtwq9l8ENJqjQalehJnQtHnYvhHHXkpr48Q3+3ZynmA7i5kyHlSjVp/tmS/VzzCYW4xXCrV7gG3ad5seMJ+NDWye6XtaT+4vqnbVsJheipsu0/U4d+SzXzaQS45ec/w3Qv0YO9/oX8AW9PzJlLbyCt/+A6RbunFOLbyDlWjVfo7dTWvvfg/e2HJIZfk+rYVQ0b1VIKscta8fDVZvS5s56dj8ApKQcuiLxBz35msYu3jEKY3j6c0fAWnecZ7fmr4BYazn22baR13rO/9wN8e00cF0M7ul58ZKFFOYU4wdxiktlByqPP3vlN4DNSa5I1O9GTy0Rvy1ZQCFslnYmRLnSq3n2rVPAbClHKYT3otP0DPKyVFCJNpide7ANpvr37tdwH/MTerfOv+tCt6xuIL+BV2rYn7T+iv488/+ToM6jn/lmvGD+h35D9zvoM/NOnz3I5g+gJ3w/qi1ZBPffjKdShkubn367+0eCvTx3c+XUIvTfcI+Yv+NcE68LrX0h15oPhLbtqClG631NecgQ9S2i9dwc4v+6F1y2j6HEPCzWVnlMI98GzFs7jpL4fJb2SBX5hjfoCywRp7hWNf7C+hkLodqxNzJ9Ef5HyWcIfPOBYlcqRKdLcu583eRR87W3Dyalp9FwxhT/6tTD/5LUlR/1An87TVqkCZ87bZSo1i26youki+gLWme7K1f4TXdVi/5Vb4Py5ER/Oz6Gr/9t05Q84Y9u1tPUL6AJi885n6ijEPVErjye/SXMpc4tyK3jGSw4do0V007HE3/vrIT6rE4V//SXF7V/b+6ngViLz9HHLpLgNlpZY+xL2n0P8275V0r6VL6d4grfFS/T1/EPf0Ne2PAB++e3fNz6073FuF8nS1GqgELRN9xp46dFNu0O9C8HpUhlfVjKg60qej+ZtpBARzsqvzRnRnazsY4PBeQ8e6PjLhO5W6ho4AX7xwCr1/lr0A/ahxkavYN4+Hz6vzIreX1LEWQ1u8LtjPWUd+rW+mUqR1xTiytSATBA7ev5GvUOR4ByOWWaC69E/5ta8nAPvv7ozrJ4T/UPHUTHLJpgHTrpWnOFCj2lddn8FXrPG/gf9RvRtA61Zu5spxIM0nt1ZPOhNSnUN8eCmhy67a/Oh00r1v1kBf8UX/2x8E7rL7KZquxboC7usmG9sQe98FRrXBn7lYd+pHVvRpb9tObH/DdSH2H/lb7ehZ6V9pksBFxHs5DkniB4m2ZfI8Bbuv/bHLrMLox9roOVxBT8X5jleJIL+qMg6oAtc456ymaEYuqv077YDrTAPNz5691McPeFqE1M6+IJItV6cBClOprt2rG2D+bbPpXX/DnS6wm3y7uAztNXGH3aiCzE92vUB/GF99pDfbnS7A36squ9gHxR2e22WRs+5EdGVCS5w/Qjr8z3oP+XGQlnbKYRzJ12e5V5079CbAp7gNYrHjvyTRY8rvZTRB943tGv+4X70nrXP1hMdFOLzZHKGujz6j9c6Dlngdv7JJ0YU0BukJHNY38OcUC7JGX4A/XSoVYcHOG+desd2ZfQ/LNNfPoCfqRmNa1EhrX9NN0Wlk0JYd623ciHQByp5GjPAH25/KcV2EN3ZoSJ2bReF2DT0m75InXTuppV658FFRYopBproik1bprrBr/FO1P7UQq+nGfE50A3fNfIwM04H/Yo217dUcMMnPdFyh9BZBvN11/RQiIPZYcF9euhca4ujncFvfSv0uXQEPYRDuK4dfDlP35P/GLrDfoaP+3opxFMWe69affTFF2aDSeBq8jMXrQ3RH84JvVkFv2c+FUZnjD7Jd+ah7QcKsSXZLDHTBP2W5xbrZvAwSdlC7ePoHjoGa3f3UYiVXZfefD1Bev8gXfJt8A2dO6dumpPi2X8/3wL4M01trt0W6DP2kwEn+6HPPmki2k+h/xsTaasFD9Ys9PA4ja6gPrJG5CPs/84/uVzW6Jde7Ja4Bj5+J2O0zAa9I4tu3zfw2/mF281sSfVT2U5Sf4BCUB/ynv97Fr3kzQnmp+A30z9VJ9uji9391MHziUJUUJfYCEd0v6n5K5fAv1/zsvvshB7Okb2NAs7/9uDLqy7oRod+ZBwchHtK/1lR8XPo7F+6NmSBc418jGh2Q+cQPu7CTIH78pb0P87u6H2Gfo9dwGlKKp3ZPEnxU6Xc/w6c0sf/pcgL/U5G1ncZKtTbl62njbzRzU+UTceBL6S9HprzQb++za33NzjtI2bHRD90T/XO3JNDFEKV/fac4iX06HUjZ2vAb9OdDv/kjx70OotF8DPMG9XntgYFkNe56d4V8A3nap8JBZHyS0adaxSc/ugxi8Zg0j74CPnofIH6GbOFzuEKOrXz2cs88OJzooVrQ9G5Y9kWWYcpRMxmB6uCMHTN1W2b3MA/t33eqH8NXfbMjHAHeHlt7PvZ6+jNzKE8e0fgHirqFxt3k7R+lU+/7oDzyceYyUeiG+gtVc2DP5fqF/kYRVqn/7DLiVEKsVHTcO5yNPqRrYmMz8DFixdaBG6jH77EF7F5DOb/gqbMl7Ho5RSnRX/waM+XoXZx6LEJUYaD4LPKo07MCehrv4fdUR2HOq8tZZKfSMpfGdMXqeCbWu5rHEtC13680k3zFfKRdpfC7D30HYUh3Tbg53cMysQlo08FD9e8BG8MfrxH/gHp3D3FbotMUIhetfv7PqaS8rr90LFQ8LScTJWANFLejRnNj4AH/Gw6LJhBep5eI1xrkkJIW9FbNWSiB3jz02aD9+809bXPRh+//tmO8RuFYEmsjlubiy4YGVdqD15A3VdRkIcu0yY//RqcW+sFRT8f/ei9No7tUxRikdGc9VcBeutBM/5r4H52NCoJheh7NnzcMA7OkfbUS7GY9LsnTX9pT8Nc+te96NMT9HOOrTXZ4AFP5WaCnpLmxsiDnozf4b7PRi8nUoa+lbtivT04j1538Oty9C/60kmvwE8V5HY4VaK/uVXAKvaDQvzyCRRjq0J3FJRxDAXfNG0cVFyNfsHkReEwuJvRdopxDfr7S+ZU9RmYfyYXDv6uJdW3Ydq/aeDbluoe3asj9XFK1SrNLORj01U+1Zfog8/Dp63AP8WrRHxuIOXLO4fXteAK+VN0Ya/Q62ytb2z9SSFqj0YHSTShL7R5yl0Gb2kQoW1tRh+2TGv7CM5nknvt/Bv0lLPfjyn+ohCdWlu4uFrRz8ieqkoE9x+6lFHehh6/ZZpjAZzG9ZXCyXZSf3fL0DeZoxBFexY7VzpI81tgyMUScGVfbs+0TvRvyTei1s/DvfL6Rh6tbvTnW2oj3MAzCv/Wfu1B33VU6EIreO/el66RH0j7fLVMe8cChYi1chbY048uzxlAfx3cP2i2t+sjae7SvfRoFDxh0PSO7yd0/oAiJY3fMP+/ijfZQiHlL41AxUNwnytFm19QSfPt9rf8q+ByNmmjZz6T5m2NcleLPxRiR6FTGeMw+r3cL9mV4JrljDcfjaDrPzJ6u3GRQgy99rE9Noa+M5n5oyf4892VB3+Ok+aB94xd7eCLCi2iCRPo11L1y3f9hflEPnfdgW+k+mA2evUGOKOv8eLgFHqE0RulMXBm3ZbJkO+kuW6IhqK+RCHeLDJ9FpshzecnIpxTwS0/sX1qmUUfZXX9vAQuq9Y/cO4XqQ4bZambLVMIYR/HIc559PZgxVul4Gfan02ULaBrfdvRuH6FQkSmvP1t/ocU/+P+I67gaXuTWVYXSfXnjdSPZvB/Q5LC6UvoNRNaI6KrFMJxyVNVewVd735DQzA4fY+31eQqKW73PYr6BG5WvyfsFk3n/51z3fJBhX8QD9zpRXvp0A18q4fugCsLN1N66dGft046/QB/TaRt8F+DXnImclCPhkowvtx5WIAJvSw6XSkb/Nyq3fUGZnSPR9KhtLRUolPv2BsHFvTitXIVp8DdVr6sX7cO3Z6hsrsCnOoqfKqYDT1vtuLTBjoqITTDUmDCQVqPhEL7OfA4yj2axfXoQzRKBc3gf6I7zFM2oD97/9JLhJ5K+J56VHGQG536871YIHhcsvjmsY3oos+dX/aBy+VphNzkRfcKiz4ky0AlCgb+TUltQv+crV4dBZ4SZW7ZtRk9xy+c9ys4/yb9Tl9+9G3GlqfV11CJpD7KYf5t6M23WqKTwUfEmd7UCaAfCm3LXwDfZ/X6iJ0QukOkS4kBI5UQGNzcvVYEnY0mO+MR+L1lOutCUfSjCkFBDExUgmFzwIyROPrxW4tap8G5Yq+F/d6OHmDB+7sCfLxeUCBZEl1t8WMsJzOVoGHSqVHbia5Ur73JBVzxxR+r0V3oUmyWNxvBB3T3Md2UQl+RExzbupZKhNH9KZHaQzrfu7G7fMFVD6vbdsmge0eWW3aAu1zh5POTRY93vXVRkoVK9DKdfc+/Hz3sDn/wFfAsJYXoejn0fgtbjwFwx8BIQ3sF0j4L2h3dxwpxLmPFx3oAvUhJlDsK/F1p4XCREjrL2oxXo+AeLhefmqigXxoetlFdRyWWymuuLaqia4hPfE0ApyxetH6ght62q+zkD/AfCQUqGuroaUZ6FTpsVOL0rLHAVw10l1+PVlPB613d1kRpoS859+/5A8567u8PGR3S727sO2rATiUSji9QenVJ534szzQXnPeWdae/Hrqrp74uDQeVyPaTfyN4hJQvg61iZuA1/hdfvzqKvmta5HsRuOKKaJOzPvrM8vE0pvVU4pitQiuHIfq0kyNhBZ7MXdJTaoTOdPtkczm4oF/MsLkJ+sF2aWV2Tiqxf/79/KopelPI5D078Lu/LqzLPEFa55qokefgTgO+2w+Zo/+t3LSJewOVkNjYr/39JHrGn1gFF/CStYnOd06hRwovqb8EPyRcHKtwGv16nInCJi4qEdks/GLQCv1mQRqfO/hl++kfV2xIdax5ZPg1uL89u5iELakO6Aje28pNJQ7Lhp5uO4uuHn5c6QI4u8LRZE979LiRG01vwLWGHCi8jqT4rHuuKrSRSnQndorWOKEbX5x96Au++ibi/BkXdJtzO763gduP3a5lOoc+sOQkLspDJdhODHM+dkMfu1py6BK42c1AJyN39JazjGYd/z3/3ebVbw/0iRUHQ3Fe2LeZCLEUL/T2wv79l8Hj/v29oe5NqrcfLNd0gnfdfPxz3Ae9vHfhxXY+KqFJm24V5Yd+ni3HLgA8prO3Y+8l9NMD7gud4GVuetp9/uhPHh73lNhEJfi0l14EBKBX1pzsDwC/3DKuIhKEPhobtLMLfI0ze11zMCnegpscJTZTCZmkc9puV9B5vu67HQA+2kz/nisU/aHkm8xOcBuXdqtnYehW2Tcytm+hEjq/3v08fY3UB194R10Gj++iuclwA32qJ+bMe/CiIFuxRzdJ9erwoLA4P5Uwdplv1I9E/xls+e4SeApLmeN8FHpoH5ddOzhH58P196PRnz6lGxfZSiXC5Sqeq90m7eeFXSZ+4CqPF1zHYkn17fKdglbw7nxLocg4dDGpAzOC2+C8cif7ZRLQ734TFvAG/8qXnPAhEV2G10CxBfzyBfcTAUnojlyNqlsFqATPXnt+kfvog+oh0h7gMi3+o83J6HrMN1lfgWc+KSpxe4Ae8Xqok0+QSmTY0oRyPySdy9C1MFfw1ydczavSSP4sRKQOnJbp517rDPQ3pR0FXEJQDyej1zNmkfrjfl8hB3CHy5o/87PRZVN9Q6rAT8ix9xnmkuqDaXcrmzDESey3+t956MrPo+ltwD+tGyhKyUffLl8gVgp+XmAgTeMxuu6OXbJMIlRCTHsycaKQFM+LnLtOgk8tM8ZGF6OXrrVe/xictU46Zn8J6Vxq+Yb+ge9cZxs78JRUBy6r3jcSpRJGp1PvhpShb8rrOpgFPio7nL69gjRv5H7s+g2ezbL7SVsl+i2KqaGeGJWotPZv8Koi9esnOlXJ4PdKW/s3PUdXDC9h/wG+M0xg7kUNKT7r7x47KE4l8gw9N9i/QD/RsnzxDvjjpIZ96+rRk+k+x4yCywxyWpS8ROft0rkjv51KRCRbhJk1ovs/lA25Ae5tlvp09RV6Ukf2yQHw5dsDo5lNpDxtyRDYLQF95w07/+EWUt7N7OoIBOcOlT8++4bUTx9runaAp6uZxCW2oovYTf8SkqQSb67Y9qq8Qw8PlHTwAvdts+UfaUcXsl561Qj+M8PY/uZ79BR3u/U8O6jE0A2Z0j1d6K94nLUdwNXpl9d86Ea/+ozVsRLcP+6JRUAv6dxfHPFeuxPq9kuDMpE+9PkYabeT4M2cfRve9JPqXly5UT74BWbtC+4DpLllz4jwMrjorqR+nkH0je+qKEd2UQkW+g71Ggr6hm7l8BTwF1wTRbZDpPN95LrpO/ju0S+CLF/Q6yqP3FXdDfG2Wh1fPEzKCwcqXTR417gn+4lR0lyxbbs5FfyFBGPEyhgpT7XE70tLwVx36AJr5ldSHdOiNgeBN3RVR+tNoh8ON/nSDv5Cf4B39hv6AY/r4wLSVOKgzvuMxGn0VLeAvvPggprJsqo/SHV7fH/ZC/B7HQeaRmZIfVCzNIBjD5VQ880/HfETff/3vzJW4GsaphZl5tCzj63rLAQ/QKzc7ZtHr3o3abkKfs13QCnoN3r3h7s9R2Ugnn+HfRFbRL/QxaeYAv73yFJk6190+Z3nrk+Ba9EfUPJaRv+oe7dBaS+V+JejNr1pFX1fQvLkTfD0ZraMun/oKgGXV/rBWX6lnnKg7cJzcTywLCFLJVzL5jex06O/qusb8wU3f8A2UMqA3jhrXvMa/JXyWKoFI7q7XV3Qxn1UYlEg0JGOGd04nF3qLPiDD1378taic7/Qbi4Br/o1ymDAiu5zyeUY7X4qUczwtG9hHbq5SFCdPviB+4rFKezoNaKh2x6A++r6RWiuJ/nEZccp8E8p55y/caJHD7o8OCBHJZR38x2N5UK/7mJcdx285bqPrOJG9K3/9r/rBWfTuLZ1iAe9n56nWVSeSsx812W9xofuOjr/2BO8QqBqefdm9GSOvqA6cDqn/tnuLegG32tV2BUg/k9nTfpvRb8xXTBuAe4Vzz8uLIBudzEzIA88O01lvEUQXWg1598CuB8f0zd3YXSer8/OaSpSCdNo35+8ouhlGZ+aboOvSY5aqRVDj0vZwE4FL+zWWWe/Hd1S/bTargOwzvbMbWyS6AOr9acvgmuIZuwr3YE+R6g5vQZXdzp4zGIXer7ngBWXEpU4IxfoQieFLsiQoG4NHi1iFpknTTovG0/Ox+C8LW3FBjLoR/94ti6C338x2Pd7L3rH/nte2spUQvhhOEPqPvSca5OMd8CZGJpkteXQAyzsw6ngdGEp9tPy6PwC63/uVKESO2qYU+IU0e3VJg/5gU9pM31QUiLtz+7fUY3g3DWJ3MPKpPgxUaxdrwpxVVVpelMV/aPw04+nwCMHHO/JqKFPMTkM54IrVGd/6TuIXudxom8OnHnBXSpYA/3Lu/BnagSVuCXxOmC7FvrfqN/hkeAVPzI73mmjN28tUOsDf/eVdbuPLvqu6ewxETUq4fNkMXirHulcXCb9zoM/GXelNB5Gr2C8+LsKvFfyLOF6FF1U2vQM40G4V/JQMrj00UuMQ54ZgnMd7WetNkBvGf63nAye6Wrie8YI/fuxrl1fwTdtPDa21gS9mmFVV1Yd4mSs0eyJKfr0hSuGgeBXQiremZ1AN+Ow1W4Bbw4X1aUxJ71fI307twaViE1keZVzEr38ivr8aXAXU0ct/VOk81LSLsoDlz+j3LJgiZ5ELTKdA1e0DjN4YIVuSAn5qqoJ9fbnwQEtG3T/3FqHG+APqtydps+gZxU6dnWB61quX4o7i37F5srObVqQjwECMcr26L0y7O6O4B9eJEuMOKCHxrCnlYALNYc3RjihR34Pq10G11D6ZCvrQqr/NT7N2tpUwqD2PuOAK7r4ueHaGPDKhYaCK27oiu7v0j6Cq940Pr7DnZRf8gc8RHUgvwQO0Xd6kOrAPsndbuBRFhlPL3qR6nN/Sk8FeMaYtYOQN8kT7znT6sJc5BC8rcUHvWFIaEoPPCWMpt/dD/2FuNzJOPDpr9QEvkuk+BzoLx0Ez1bcalbnj/7Wg2NZ/BDcBwUr+B0D0JUs+qXdwVm1C0Y4gtBPsRwweAb+03ipqCIY/cGsrCWdHuzPr/RAqyukfb7acvwwuFl7mgFTKHrr3hXlOHCp2wtiRWGkOuP5nmMQfGw4dfX4NXTTUt12scNQHzyTP65eR3d2tfN3Aw/9Ovks+ya6I9sO7grwm7M3ko9FovuxJCX9Ay9V9LuyEIXe11vKqnsE5sZzpS4PotFHR4OcY8BjFFXMtG+jb8hfLusD332YU/d7LCmPknZ/FzxKJRr1pZUS4tCFxTdyOYHvnI+XUU1Ad2soE30CHjOhsXMsEb1wlFNkEdxvQF7iVhJpnTS72A8eoxJNF90l5O6T6tt1xrHr4CVeUzspyaRz/JnxqAP8nd+jveEP0CnFjKf49KkEvWKestRDdFVFmb9W4Alnxw/1ppH6yD+xsBxw8QLbk4EZpD57cXz5O3h2Hb+beBZpnZv8bOQMqISdMWfYu2xSPTn+sSQAnIVHLdUnFz0+c/1sI3hcVc7zbY9I/cVvK/86Qypx+pf24Ot8dHkd+n3G4Dxe/LTnH6NLhTcq3ANvnhKX4C0izTOPbHd8Bu/msjN6UYyeIjnMLGFEJebv9wQ5lKAP+ml1u4EfVPQt5igl7QNbVGQZuOBD3ZGKMlLcnn4uswx+Ikx3i3UF+kVqT4O6MezzA29T5mekvGb6pH4DPCH1XWxxFXr3kfeF7eCfCaMus+foL0UrmXhMoJ7s/8dDW4v+aM2do6fAr+zvtsx7gV5rdzY4HXzXn/Ycw3rS/Fkt9fAruMy+2bnFl+htl+cKpEyhH6XJaaU3kuJQsDL7Anj5woO7eq/Rb2+9HFUFfmha4sfPJvTtk+o2NMepxCmVLt37LejKK+zC2uDdqclZGm/Ri9u+tEeA/2i7umaqlVTnO+uc34OrhVxzjHtH2ocr+T95TkD+emW/U+5ATzXNcjgFHmNFlR99j27xsrglDfz8vz2ZUV2keqLWwTcOrs1+j0uuB/2fNqPpLjMqYaWzKZzSiz5x1DTQA/yU/eOl8D700tYXceXgB7abXpD+iC6gpHt3CVxXm2PmwwA6LefsdTVzKrEn+KNb8CC65uvn9mHgc7fLZiSo6LOdj2XegE8opHq/HyLlXdHrCfaTVKJ+b8LKxS/oLF1ro43Bg1WSrguPoC+WXxS6Cx7Om8PzdhTdpIsv7RP4taDaHK9x0tz7cIJNyALmqH0UJf4J0nye+N3BDnxlnqGrcRJ9354dRXngsVdlzp2bIn3vyIPhafCTKWdYeL6T3r9Tf83eU7B++sRHtT9IdSlIhdsHPNS37ajDLPo3c9f1VeCVzxjmOH6hf9pLWVwBb41QSqmcI53X1fiOg5ZU4mqR+yGbBXTb13FxYeDzY+l/1v4hnaMXRasF/O5cx6OSRfSTa7xH1p2GOn9/0cpiCX1y7qS7AXhfyhY+hhV0ruexE3fA19Xt7ypYRb/fvc3gA3jCK+3bpjTd/3erStrMzVZUIt7zqNEqLbrBZ5VRS/DQCF2eHHp0/5YerjRw2R65Qf016DTf3kqPgDdw8+b8YUTfXCesuN2aSpRxfPVKY0bnafgk7QzeF5GroceCbum2zPUY3ET/BM8vVvRzyqGjP8BzBX99u8+G3pfjk7nXhkrkv77UqMmBfmRnr4E3eDjzdOr0evSIg1mTFeCVj3UDEzaQ3m835vEXnD8w0orgRh/mTB5TPkMlBg9WaHzdiP6rvlk3CDygvmnHbV705zNud+vB+1495z6wCd190+0eelsqwccXTzu8Gd28QoZGG7wpRH82gh99QMuY7zr489bJ4X3b0F3U/mx9Ay7ZYNc/KICeJCzCue4s9C/pF+/DhdCZHXtnj4L3fppvlRZB947krosGF01gftsnil7EOuT/Hpxh+8LbEHH0NBslMS47KqFvUdO+QwJdm0XyuQm46r9TvV2S6KUh+WoJ4IbULurlnegbNV+VfAB3bhacEtuNnt/mt2GTPdT5a+pL76TQ395rtjoJ3jApz+a3B31ke8W9++DOL/4JCe1Fvzir3fAJnNJ1V/GNLLrwhUv9Wx0gfhZoTbz2o0fvMhk8Df5wQdGDXx79WmLvu1Tw1XTi9isFUjzIMBQOgWu+5Sx1O4Ae50e9JOQI+0MU9fMqo2d+dd5/BtyonYeuXgV917/cwXTw9sM6u50J9DOKyV7D4FlhhAXXQVLccuv8FnGCe/Gx1Yjn6ugs7AWOZ8Gdfa68sNNEP5bR1pQJXtbxZp5dm7RvhoXco+Dc0r1SlTqkuEo00BdzphKMZzOcbQ6hx8+W+9qBO6jL5LEcRpeiDEdlgVunBE4+PULK64H+26Pgnro3pSyPoavb378q5kIlvHmNvRkN0GtXdtjagUdRPtQWGaLnCkTsyQJX8+RlNTdGV9Cr/TYCbpaz/iSdKXr50us4UVcqQWv8Mj//OHpYSc7Os+DlejtpTM3QN02fKc4A1zqrd2LVHH1Vckl4GLzHe9uTHAv0znHPq8LnqMRH02w2Q0v0w1mt723ARQeGXP+eRt/3mYU9Dbz9U+u7DGvSPm/eozAEbrLXSfboGdK5tKsaCLjBvP209N6CLSkvghWPnwa3UChkeGiH/ilfWC8F3DHJxOOQA+n5juWdn8CdirKHfjqS6rzbm6XN56mEh3GGUbIzuinDrWfm4LOnDzVpuaLTb9CzuwuenZ+o+uMc+hQP7b9e8CyuqMq759ELYsvCN7pDnHtI7Ff3QJ9ncF42BndJdSz95ol+c1rQOhZ81e+IXPwFdM3WT086wM/1d1ap+qBzCz2cZfegEq7Jfw9+9UVfcjkncBSc8cHLt7cvonPu1lGKAE+okjRT8ke/MiKt1QLe9k5qfOQyetSGHSpMnlSiuKLD71YgaZ3yCiJa4DFG7GwKweifu079vgK+LWAs43MIOofjvWd14EYbzVQirqJnXfjltAoeuGjTvy8M/eglZ2ZlL4hDZno/Sjh63SJt/EXwFMEDm65fJ9VDr+ccFeCdQow1MjfRTZyS/ebAA77Z2Q5EoBtaZLbLXIC5yNJsXVgU+rs3vdznwQ3MPlVIRaNPKsjpFoAffT5j1xdD6kfir5wmwD2c43iuxKKPbQy/KO5NJf5ovG7ZGYduf83f1xbcfUdYUE88evtyju1D8Mp/7fJBiegZv9lUB8HXZGf9lEhC910sYtzsQyUG/jEUd94jnfvVmJrj4NwzU+cvJ5PWz1dy5g54v/mpveIPSPl+gHehHTxP0Oh3eyqpLzu99F3nSyVMJdpqL6aR3iNRPq4LvmTSel0kAz3275xWGDh3xDHTtkz0W9YhsfXg9kVGor7Z6BsGLdtWwNfmfJgXzEV3+Bm5oOgHeXriU8ubPNLvCnOy+4BrZls9vJCPvm52iqsEPP+i9cVtj0nnSxVm/g6+UjFo0lxImt/cyyYlL0Je6/Tu9Swm9WXxnGo78Kj1h7j4S9CVw/5eSgOXWNy38OopeiV7icQguMvE3YHzZejrtTsa+S5BHWvxathUga5YeELfBHxPSOPjhkr0g2/0mqPBHyzeuHeuCl1ra4H0W/CYLQ03eJ+j++0IDGP0h/tLh5t/fQ36Nu+GloPgp2gjz7u8QL8dHLh8Gbz07ib7jfXoKh1PtlaChwbzWL14iZ46brX7F7hZRshJp0b0Q3oRO6UuUwm2KXMzrtfoFH85PifwVq0HZjVNpLiiOfsrA5w7+aiFQwspf0/y1FDASz/aW3O+RS/jMPDeFAB9YfqrQ3Ur+mg6F78JeHd9p4fdO/Tjd22f3AK/oSESyNGBvuWC+v4WcBrr/shn70l1vqokhz4Q5hmGuRTbLvRTP8qZVcG3Cng+YetBt040NPMDD00xaqroRW+VC0soAd/hFke16SPNb0YmDVPgVUFyf1k/otefq6eIB1EJqXp53vIBUh1gb/9qHfRfvUqUsx5Ef1oZ9PkeuOZtYzMWKmn+me1p7g76777scrl0CF1HpfsBezCVuHOKmn76C7qaUICtLrhKUsFb5hHS88JdPFfAj2V3LpSMotu86qusBl+4YCBqOU6aN6JjDs2DVyyImjBNkOKBcaVZKgTu41v1w59MkvpIoaC8IzjXQFuVxRSpjrGt3kkD1xR+OLvmO6kf5SVSP4KXjTbuKP6Brso4s4n7yn9/J1KyPzlLytNHazWOgv98TJvJ8AudlX/8ZDj4hyTekcI59BnqTZsX4Ds6/MXNF9AFLv8+/gec0NrtQv8H3dlHWknmKpWont5R8ngRvdhkP7szeFyt19KJJVKdT2btSAdnecyoQ7dC+q6e0uAB8IrCL3EFq6R9uyoryB1KJS4/Yxw9TtPzf3+2+2bhEfDoBg95Wjr0uyerd4aB+zQIR+bTo8vFtCTWgNMV8w2brkH/aVLxcx7cPNhImYYJXUn6mrJUGJWY2dme+IgZPS5Lydse/NqjqHkTFvRo1Q/JD8Dl5yJN/7Gi9wafetoLbknbWpHHhi7wq62SPZxKFL05xG/CgS7FL/VYG1zq0Jqrq+vRh68ExQSC7/ZZ+Za7AV2isPFMOfjhwzInjLnRl0VpRL+DX3qZ2riyEd3ZbV+32DUq8bdHZ18uL3o851kvy2v/7YNEttEm9ML427Tx4D7P1TavbEb/E/IisBU8OCw6JocfvcVyZpL+OpX41cu11mgbemixuLYS+L2C1qvLAugZtHYxnuB36J7R5AihF/Q9bskD1+r5EGQoQjqXGvqfQ+CuQhK0y6Lov+Wc1vLdoBLsI7mh2eLoqW1DHPrg4ZvNWQwl0FeZz60JB/d+KR+7JIk+575+8jl4d78Gf/ZO9HNRbTW/wMdPX8412I3uNpYdvOMm1A2DIbklKXQGhtS9NuDPC9yasvagG7lVdiWCR3uJnzTYix75eN72HbhiJuOPv7Lo84fMhxkioK6qsodn7SfFw9tRQyXwW+rKAgby6M+rU4o8wF8UR1f9VSB9V9rV5RzwzhtMZlkH0HmY7ilQIv6bY9N/6yujV3gN23JHwjwcYp30VwU9xP1MoB64YDqhkkWQ4jZ80/VgcPZ9xLD+QfRwFdaQcvD1iqcj/qqjOwgccJoCf/r0/v4sTfSq0lw14Sgq0Zu98FlfGz0g3JzJDDx9o1vMXx3S81v1a6LA79DTHsw6hB5DH3mmAdz5QuEv/cPou+o3/P4Dru7qnfv3CHobdfSS1C3Ilx8mVlnH0Ou/Mn23BW+gO8JnYIBuZ+dvkAS+Nd+8668h+g6qevo78K7pyzFZxqT6QLUepo+mEkEdpfoGpugiMx+4FMFZzGk4l46j37j3SNYNPCfqdHeWGSkOHQfUM8AHLrxLMjhJqkvDrgf7wP026tssWaC3xttIs8XA/cWHuiPbkpS/zM/XqYPnpgYuGFihMzYF9vuA297d2bhkjb5kXhCfD97mOHon+wz6yGGdg0Pgypvy7QzPoo+JG33ivk0l9Ev8FZft0GW82+0PgS8oH+fIcSDlS339UAC460vFcUMn9NK4nXol4ApHxOqXndEfXuLIGAPfO8KbkuOKrrhy/tvmWLgfxa33N3JDp83RF9EHv+7AbrFyHv063RO9q+CcjutVcj1IeX0vwaYCXDBto5CxF/rZRTrHb+Bs27YyrV4gnfujP5YCd+B3J8V+5PqQ4lD+koYx+OkN0v3Gfug+u27yXQOfSZN/tXoRvZlr52AVeHWW6tM8f/Sbfla3v4Mn7NDIMAlAfzUquV84Du7XKprx/wLR741FNpuCm02p3XgUjL6fMeLwDXBXTYUg0yvo3e3itc/Bx40lfWlC0RvfnRGcAReR5PLID0O3vnXQUySeStR0zrkev4bOfe/V0+PgOVZtzrQ30M0DZkdugPNT7zsX3ESvbmhaUwP+0NrK9UQkaT1/9HhmwJnmeNzpbqHr5QbwiCTA/TGv3vtxNPoHyzOMx8H1bp8OMLuNfjBrafT6f/58Kpz+DroNy5Gy6v/eo+QSWxiHvmXT8QvfwbkE+1PNE9BtLflFhBKpRIv//iKGu+hqtmn1xuD+1kF1RUnoDeXj+uHgp4fKuk7eR2cfmW2rBJ9h6/u6JgXd2Pel0jfwpaWRf8UP0LuWLZK23qUSSTUDfKceog/Q1I/pg0vaV8sypZPynWNO5Aq4xdqrBiUZ6Jzlvw1KwXdUy5y3zEKXDH53bgz8Y/TraOYc9OS/ly7xJVGJ5ftqJU9z0ZlK/vnogbvMPeg9/Qh9vayV7WVww8Kh5bUF6OdZkolCcCEqg1jZY/SpxkrWIfCkZBZ96yJ0ix8VTZz3qMTL5ZlLrE/QH/Ake2mA/9xYkVtegp7f5MDhDf521aLPphQ9KHrr/WxwuXeUtWzl6NJLL3j6wF3uq6pUVpDmtETDK2vvU4nJgEuets9IdeZn9+AB8KtRt/PYq9Hf3j0i6Qp++MuVL8+ek57nrT6bAp4dd3SrXS2637JwzDvwgzUz5uvrSHNsd3j+P3Bub5e71fXoH3dPlO9JphJnep732TegW8YfKbEBr/k9vHnDK9L67z5NiQX/M089XfOaNCe8ErzYAK40WZTp2Iwu/yhBcy75v/9zM5rieoMe0cVLI5YC/Wtb8/4Xb0lzYHt2vin4WBx7iHMbuu8ubZ1wcG9XsXcb29Hf+/7pLAfnr2fdWt+BXkTUHRsHryqsO+faic634WEV7wOon4YadbzdpHwMuMejC055Fcvd0INOYS854weeLFHo7PaBVCdNJx7kgjckxL3c1I9+hqr+tg88b7cW/6uP6I8O1I8zp8I+sLzwdf+EXjdvP6cAHnSEtmcLhRT/qXKzjuCR61n3NVHRFxr3Uu6CJ3oPxHl+JuXFgmV1M7jtPY/fW4fRR+uqrv8BZ37QatEygs5Velhb4iGV+JT6rf7CGLrWaa65E+ARL9okBb+SzvEYd+w18FV+zztvJ9BLNhgKVoB79X1Y9flGmisOtD4YA3fasOoiPE2KW5PrbDxpVKLk2/DHtu/okz+uuWqBW4ddP3xxhtQH77dVXwDvovlWI/oTfdOYxVIGeFkQy96OX+jiVvt3doEviozl+M+jP4k/dZguHeoPR4DA9t/oM3zdFjLgFLt3dzv/oIv5PThlDd6j288V+Bc9Xb32aPR/PpAcI7lMqsNMctK14GrqfBw9K6R5+Dgz7TR4fapedPA/9Mcv5Bu2ZEC/4JPl3EXb+3+/8P61tx745o6OuA906ENbKvkugpd9E958lQE9Soq9IAf8W7REmhQj+q6kt9K94J2fhyQ/MqH7ffuZwZAJ8xXj4dKwtehKZeHMsuChovZqMqzoeuE3LG3AJ61l3n1ahx7+fSU9GlzxS77ldXb00YCxvhrwhXfd32XXo1s3av37Bj59ND+Eyom+xmgbz+YsKrEvXIonggt9stxzqy64RKplgdxG9H1XtTb6gLvXyWt+4UHn1UlayQBf4nw+GMWH3hHr3vsefLV6wk9xM3rhQlvqP/DlsRcbR7egs9CXmu/OhrpRrVIasxVdV1eMwQL8iO0ZE2UB9E/HRVOvgzMz7V4YF0TXefF0Rzl4TEdy0h1h0jo39GYPg7dNFKsSoujD1CguzhwqMXvZcXRSDP34s0F3VfALpS+jErajC0g317qA81XXyqtLotN26q/cBR+rthie3oH+Zq/vrtfge7/cjUnahW70Re3IL/BYc29CSwr9ikfRKcFciKujMz9mpEnx4PHK8ii4zTfm9GQZ9ALPMP1L4E6na011ZdHLGH/K5IA/6+JgnduHHljLtqYb3NRvuT5VDn33zoFmmjwqEXLx6qXDCui/Bk8F7AZvZ8jc91sRndMxXvgk+EZdy5l0JfSuk9cqw8E9PAofH1NBj9bZTzwF1ytKcP2riv7oRVo5Ffzono27s9XQE0zat617RCXOi0j+MFRH70ys81UAn654X7KiQTrHzX71Z8H1trL75Wmh25z/sxQDbnB1UNVUB31WXHN7DfiGzQQT7SF0ostSYwL8K+fe9wV66MyMugYb8+G77pclmx0h7YPhmmMHwRPHm50YjqHv0b6rfA78+nYXhWJ9dC1fev4k8MrI+8ynDNEP+ByaagQf1jX/yGSMvrbH9fEMOOutjMdPTdDLxdyt+AuoxOVbF69YHUfX/2tKpwv++vJHM1Yz9LkRwQQv8LqIV3sqzNHbfLs2p4Jf/67IYmuBzq7lHvMGPKRPbpTdEn2RsrgwD24eUF1fdRq9/4PnMaHHVIKGsynV3hqd6eVgwhHw4iazoA1n0L9Kq3T4go/2nLeutUWffnrnbzq4ozurhrMdeuzQ8MZ34OqtO7bzOJDqm+4e4UXwxm1t6146on8L8BcQLaQSN1Jmf51zJsUnVzObPrhrYOKnTa7oDcl80xfB7/yuef3qHKkv5J+vyfzveeJsicd59LzO9sB28IzIG6lbPdBls5Rk/oLL8Oy+1eKJPlFW1i1aRCWMuI4Fel8g5WmimpM+eET1t/NCPqQ6P0j5fhE8TXuNbZsvuuXmO3aZ4DlTSScuXkRX/2zV9g58ZjT3qJg/qW680hFfBOdykdF6fxk90fyou0gxlfhVulc1IBDdRMYr/yh42XK+gmQweiW1+oMveKN/8r6eEFJe/JGcTwPvdKHfG3IV/TZbHX0reDfj0J7dYehFT4PpF8AZr8nI9IejvwpwmxN4Av1O/PfesOvo2v8ieg+BawvtkZO5SXrP24E8L/DtTwYODEagh/lYu6WAUzgX1W5EoZ+6wy/aBE4XdE13fzR6T9mGtzPgbvvCDT/HkOqPh5bt5hIqoek2ZxEVi256smJKA3zC8b2DYhypLtG7OJwDZ7Xh9x6NR/9Ia9uVAH73TvfV24mk8/qatqcOvEll8Y5KEvqU3o6gCXCOlBtZE/fQG2tWazc8pRKyP0Ir45NJ3i00owS+33Oy9eADUh6JJGywA7c+++zLdCr6MeK0+C1wgmF2MSmN1L+qL++sAM+KidmgnYEuuXNOaAg8Xzdx189M9HmRprVrS2HedmHQfZCN/lDxzxcZcA3FD2f1ctHP09x8fBLccpb96kIe+tN1QU5XwQW6H6Wn55Pi4Wc/TwH4b6FHDcceo7PqpJR1gydsWTf2txD9T8pbrRXwBdqOtTnFpDkn0qFJrIxK6PPMSxmXoD/P8jpwDFzw3iXTf09J/Sjo5wMfcOl2q4D8MnS3wrG5B+BBvzOyT1SgP35tpNwEbmWq/Z7+GfoWS0XvH+CWO7VXiqrQPRhTUnnLqcSx5+k7Tj1H9zkRXE2AHzpsYc5ci/5vZLTZATx3y/kbpS/QxzQ6mqLB13kMVlnXk/rRWvXKCnDz6KzpdQ2kOtaico8KXlr1WuhZI6k+b359jqmCStyUVzth95qUF9GDe6XBr+tx3uJsJsXVi/CJ4+BpCoqva1rQnYjG24HgrDoV/5zekr434+7ObHDV6psHeNrQ5UIYK9rA/3ws8Xn5Dn3m3Pp98+BKU1Klbh2k+rlamc5fSSV09q/+3NyJ7tpCR68JnrMsINvUhd53ZsbEBVzkxp0LXj3okdahd2PB3wiZVQh8QF86Ud/2DHya7dzS2z70B5S8uSFwwfj3an4f0X/fUGNjfgbr/Bd6TfQT+p0f13ilwU/Ehbd3DJLm26wrXMfBu5N7+AKopLxTk6UNADew8bCV/IwudDx5KAO8eId5Uc8XdJGAuidvwPnVI5dDRkj5opd+YRb878zaw1JjpHM00ZTkq4J9Dn5/7+M4uphMXrsq+BrlL9/CJ0h9wbvLwQ7cyFVJVfYbOkflq9kI8OOnPt2mTpH61K0r50rAG483jkV8R1+4tW6gD/xu9k9lhRl0e337A//A2RPt40ZmSedrFxshVg31x0tgOuYX+l3HO+8Og2+7zq+jMo+eNO1C7wnuL2iZPrGAzh+xbcdd8DU3hlbj/6CbfXisXgt+kD37lPpf0lzqyH90BHxluaD6+xIpj3pcD7E8h+fT57bcX0GXfpomvwfc5vDlAJ1/6AZJNbzHwSe1NIZ+0XzAONzaMOEPXkLV1XxIh678ofRxGnibfWTeEQb0FYt42ybwWEm29Ytr0FPVHVinwe/7vPHNYkIvFdqdtaGGSrxMbhgyXIveEz2xRwFc9NtvvVUW9ByR1EJLcOEn9uWP1qF/9DLYdhXcTJVD5AQ7uggvTXAu+OMvMzH069E1M4u72sAPfmehKeZEZyw5u+kXeMCTU+6nuNCJD9sM+WqpBH3A6Gfmjejtjz5fUgF/mZZpUsaDfrehKOEMONU9qdmGD/1WZUTmNfBmpQYV9s3o+YJ+mQXgEiZCpVVb0OdifRPeg8+wPt3psBXdIzvy0gL44TLfTC4BdNWfzwy2vIC8S3fbVieIfpGNbpMaeJt4YpKrMLpetEPXWfD4uJmNm0TRR9mng26AqxKX7rwSQw8Tid9WCK50SXaD53bSes6eKeoE10raErtNEn3B8cTe3+DGMzJcb3eguzT75Gypg3jo8o733YUuu7mBXQ08MXGMT1QKvWJe1fEsOP3tqykd0qT3/Jx6eh28n/uISIAMeltO+2wBuIEf8UhSFt3q8YTQe/Cp9ZZ7e/ehl9xT0ZwHt92XWX1FDv000zuzTfVUolyBW1taAZ0pIsVKBVz4QsH7AUV0w5pCMxvw7Squp68roc/vZ9AMAw+ZNJrap4JeEPlQKA98b5eV/2dVdBXz8NlWcL9jsay31NB9ZSufzoB3PZ1IPqCOLvVUwZH7JdQNCzvpcQ10LXcWDgVw9mSGhjta6Fl0e3ItwHe3vz6hpkOKc7oC2SDwsSP501O66BxMIU/SwRfOPQlN0kPfnPdE6DW4TUQfv/YRdKdgtdAJcPtVgfKfR9F5xPb0r2uAe43gNYNUfdL3Sl8V3POfH2abOmyIziCvfNIY3K7/yfU/RugPui3DfcCtRS+IZ5mgqz+czEwCXww3fmV4HH3v3tGy5+AzFvp2qyfQK4UNnlHBtVbtGfPN0bezSBXRNVIJ+Zak3BMW6J+CQxLFwLX4xg8zWKIrCBz11AWX1jk2U3wa/VHAHcIFfObJu3hLa1Id23fiXxT4/5i672iq//8B4CUrM2VFSUgZkZVRNoVQSKGyKZERyY5EKqsQWUlFSIREiYxEWYkk4yJFRIps+T3f33N+n+f738e5531f47muc+71tuT0fgZb9Ce9yU8Liec85h4utSPdI4vNsY/gIzMDkXYO6Ms2jyf+go+OV+3dcBr9tPuli9xv4HPfZMlgxRl08fbeaSXwCfOqKKez6H+2vbU9Bb4zsl+J04X0nD9qdZfAWb+y/ag5h64zpM+dCd5bYZbk5oZ+PGLCsg6cxqdIZ4sHKe8CdyR9B1fz5FtsOI++x2Kulr4e5lLm1McXvEjn9txhSBR8/qGotYA36XwkPKf1wblSG9lbL6LvMhOYcwW/ddjnnb8vOnPzhYlY8KP8e0N2+aNbCLt/KgKPdqVS7AxAZ1/ZVNQBnp/c+zskiLTfMbvgWXBzmro8iWB0pqu26txvKaoBrGWOPSHogS4b/yqCq/GUCUSEotfJeKecAGe6WkuRDUNn9I6VDQS/8rw7bTAc/UaT3et08GvMiyejI9CvtP1ReQ2uMS64dd91dEVetcJBcIbiY/0jN9CXtA3Z1zVQVIPf3syIj0LfPrbNWQg89EaHnXoMOv295yXa4GK2fLsmY9G3UHP/dgRvf+I6kXwLvf6xJn8EOHNnXfHBePTLssoaOeBPFfj9ZxJI9VmW7vg78I/KwZr3EtElDz6wHAev1BlmMryDvpeGy5ypET53Vx7qWkxG96O3PbAb3IuqNDM7Ff3O2FVhQ3A2fwG3o+no+7RvLLiC74yK3b82A31DkWtVDLhC+irDk3voTe9kfQrBGdjdvljcJ8WtyIDgB/CUo/25dA/R1572rPkNLlKvH1CSRYpDvt8mG99RVKVayw1tHqGLjZ74LA1+9pOQAEsuurxV6WET8EaNqNkXeaR6u3XdC0/wK/5/3p/OR698qcUVD844apLJXoDO2xl4uoTwqULf6kJSHVj3NLcD3H2J3ti1iNSvKQMDM+A250+I8ZaQ+j7NBgaO9xRVrVfZNA3P0MeZ1YXlwF9oTQx4PUc/GOctZwqe7SH2ans5+kvJYvkL4NvzbZJbXqC7By6IJ4CHW8f4+FegJ3PqczwDP/u3+PiuSvTzCflTHeB3O1vkO6vQleL5q2bA9zpTuC9Xk+49PzuYvYmi6sf/bVGilpSPftpysuBzVpS+njpSHCYu95qAe8Q3V0fUo3entl70BB/dVZAl10A6T+FqmjjwuxGhkUON6PHNH8OLwJm36XnGvEeP2M2w9AH853GqE/ubSXk94Gj7G3zP3TzNHy2k+An5WbGhmaK63kZ79+029MKcNIY94EPrW7k029FXZwIOHQY/Tauzbuoj+u2VyEuu4AG1Bb9SO9E5LNuyosA1ntD06Xah73iqW/0YfJOs7vvZz6R58uZSy3vwmBrfF/e/oDfcGW0dA494ezv3SC96u/2muvUt0Eee3k1Z6UM3jwrK2wXuMREXlUshnf8T8fCD4Irj54OPD5L6si3/UUdw0c37vai/om/VOskRBq7zffLM02H06cmhxvvg76qvW1p+R09YKfWoAZfgZTVlHCXN2ww9TIPgQrb++mU/SPWwyChlFTyVtlXLYZw0/0dt3crXSlGt9VmvsnGCNAcqqt/aD/5vl6hC1SR62uGqRQvwyat7ZFym0N84Jx/zBT9Pu0Vy8x/0kV2dDxPB73H8FKufRhcSOD/6DPyDcIaI51/SXPHHk68DPCZPfhf/HHqmXN/BP+BZHEU7m+fRdcML7Te0UVS3drHs8ltE77k05SUBLmNrILJzmfScV3d99MHtRM6Jdaygf//y2u0suOPdcxIhq6S+c/6YRQS4uLyhtMTaz5iP2+0UssCH7Vjke6jQGUJ+rK8Dn07K3x9Bjd68+2fLIPiSrpimHC36n5pzV1fBe8bC9YboSN7jLrP1A0U171eVccx69APs8+1KH4jvG3ae2M+Ifp6O1tEMPG32rcMPJvS1Rmk/L4CzDyW432ZBD4587RgHLkitGqC5AT3S9HxHIThje03EFBt65cFnci3gKtX8t9M2oVf8u3F9HNzjoNkDPQ50Gc6Fdvp2uMcvZ4rnONE/iqyyCINXThnVPuBGP9aZoaIJbr1mU4cRD7pvyYCNNThzcN63f7zoNHbVPoHg6d955vO2or8J0A5NBt+WZ81ovg39RppbyHPwL1oB22i3o0vbaHh2gJuKnZMtFkC/Y/fa7De47idpPWsh9EdqP6VYPlJUC141WTMLo+vFN/wTBX9uruTzYie69+LxqoPgrQL+sadF0AVY0zztwe/cjM5hF0M/4prMGwI+zedVWy2Ovr7E+Hka+IKmWL+rBLpFQMOBF+BzvsULvHvQTe3+NX4CD1Ri4myUQmenmVObBjdYlZXxlkF/sVKSx9pBUT2jsdtIUA7d5YcSgzg4ddCMW9tedHP7Gyd1wOPEr8cEKqAXM+Rk2oO/bpgoEFUiuc/t3mDwc818H7r2oafrHWNIAy9/tmX6ijL6sy3jYuXgy8vfOaRV0XVuHFfvBK/lC1SkqKHnSqfr/Qbvvt1/KlKDFIcF1QeZOyFuBxlCFbXQtdLqFETAd/utzfmuja56J2erNjhPf3Vr3EH026qes9bgJdcOzanpoj8XF6oNAO9bSNs2qYfOs1IZmgRemlemk6KPrmJwQKEEPHFLynkdQ/S88oqBVnDWd1ppfw+jf+8XChwH/yb1rCHTCP2yeQgz3SeKKl/7+MxhE3Tu+o6bAuC/d41uXzmKrl69nUEF/GNJzuHcY+iZI2e9zcFdZySDjpuhf+ss+uQFnu3ol09tQdrvrmXRWPCk6xF9T0+gNwXoeuaBJ1DMWaxOoX91TSuo/0T8Dt6EKpMVennKImUQXIhX63y5NTpnhh31CrjP2pMPHW3RG7h7tnB3UVRPcct1b7JHz8i0E5EBVxtoYa52IOXdl1URQ/DG7l2arqfRd58q4nMC/xim4cvrhP7gbSDdFXBvB97ChrPob0vth9PBVxeKRi64oF976/SsHHy6jp5f0BW953aMXwc4i84W8zY3Up2s/izzC1yXZuJWoAdpPd8ODq7/TFFtCfJrFvVEl0+nXBYCXytfR//Zi3Se1zK5VcFDChu1wrxJfUE7LtMcnN/1eoi0D7rfuRJ+L/DRPzRVFF/01Lv0cdHg22r2rUT6o7f63Fp4BK5iJbZfKZCUF7ePHq0FnzXo8B8JQudNMLrfBy6zcW9FfDB6wsbI73PgG/ccWVG/jP4zj5ZvYzd8fhcTUP0Vim75r1ZXHNzkel5IahipPmfXOx0AX982Xqd7lVRPNNmCrMFZLg/Rz0WQ8t0jK9wPPGFHjMGD6+h0zRGh8eAMar9vGUWix8y88HoCznacvvtfFPquMFWLBvCQqY/bHsegK2/ZLDsE7nzL5LT5TXTF43pUy+CcteEFtHHosR876zi+wD2uPzdfHE+qtxKV/pLgQ2M0Gja3Seunpd2pC57x60gkSxL6pbmCeltw23SDrpd30IUzKi0CwAODlgScUkj1M032awJ4KJeFG2caek0Uu3UBuPzvMxW16ehDzDYfGsDvxO1k8MggPeflFvkh8O7wBDO+THSKrN7NJXArk6Ls9/fRabl+Uth7oN+FBM75PETvXaUWlABfTJ49KJyNzhaVaHEQfHLn1jsfH6Fbn8wKtwafeDo1FpyLHsYom+0L7lbjrizxGF1bQbPiFrjA19TYnnx0x+BPb/LAx9K8hiMK0F+GTNXWgQ8HzCnsfUpaz5e40j7wUww7or8WkfJrZ23aLHhf2/LX2BJ0WboQX9ZeqMMngpRUSknzEleb7i5wLtmcm+PPSXPgbBGLOvjo94AfSeXohhriDebgs//m1Q+8JD0/ScX7PHgz3daU6Qp0r9s/uW+AK0eNzmRUojP3KBTeJ5z3xGHD16Q5kFp4fwU4rYpX7lI1aU4oKK3oAP8XIkObU4vO4T8hNQFe55lke+wNuglNcwpNH9TzjMyqdW/Rd/w8vrgVXDPeaOvTBvSHzbEGe8HV+x74W75Dnz3ol2AIfpc+9QtjE7rSAme7Izj1g71K5c2kenXJad0lcENlr2THVnQDXy+RRPAY26NLmz6Q8uWKklYB+KbMTyer29HPqVaavAU/en2x0rUD3ViHyoxCvG9u1fYtn0jnrLzeaA6cMXZHWGMXqe696lRh7aeoXn0v9sO7Gz3e4ez2neBvxj8YCPWgS3Q2zquAGwRzFX/oRdfMna07Bt7Nvcx9qR9dLHQ6zBX8uPalS+ID6If+1ewLBx9PyPjePYhO/eL09zTwiWQrw6tfSfPw0eGwZ+Cjwy9LZb+hz7ns42kGv0v9bNvQd/SN99zuD4PT3dC7FjOKHhUTun0ZXHd9wPT+MdJ88sk3fhMF9rtB13JsHP0uh+myKDijzNPGxAnS/DPGZa4B/nVtiZz2L/TD03W55uC6rEaZf6bQbVstf7uDn524yprxB51l66h4BHiOhFmgwQz6uJ/dqbvgaQ7V44t/0ROvfrxcCr5pR63FoznSPDOolNYMTr/m1DvTBfQ/O1MfD4MXXotWWreEPjO/ULgE7mF6PK9wmRRX08dyNw5QVL/Plm6x/IfOVfosSQS8f21+NOOa7v88m8IdoAZ+gkFxbfladApL6NHj4DcfWHg5rkMPHprd7go+bs82uokG/fiC9/AVcOqBkyeradHF/tCkpoA/yd3/wZUevc05S6dogPj7eeGBLQzoW2hOjDWAz11+XtHIiD56UjiEMkD8rqaRzEVmdPaNjMyz4PpJQblCrOihtYzRTINQZwqVBdo3oG/dIEYtCH42KTr50kb0ptvOborgT0bcN+1mJz1ntrX1MLi67HDkFw50+RaLHY7gL9lHaSO40AcqWNwDwKe3BYTIbUYPspksuAU++vPu8hAP+sYTy8OPwNs3mvjEbkG/r7OPtQp8i0jCjDIfunJjvkQnuN1bB4/xbegT/sc0x8EvhNVNJm1Hf78qb7B2iKJqvFTockAQ/ef0UX0ucJlq0fFpIXTXuQK13eABblJn7wmje+QcEtUEb0yv+2G4C503R3S9OfjIyFenZRH02wmH+1zBP36NHssRQ2dmeZV1Bfy12Bvn47vRnz294JAMvsk8fIJaEr12W8DmQnArmna3oj3oXnPtNW/A3d9l/7GSRl/3OcCmB1xVg86bWRa9xDrg7xT4Eu3Uwgs5Uhzu6Qii/UpRXVdsE3RGHv3eSPgKL/jwwIl1nIroPkKJHlLgTmL9EbVK6FnhdD0HwC/vHmXx2I9+Nf+L4klw88u+CXwq6J4Km6I9wA++ubmlSRW9pb64Kxy86+aeB77q6ItzlZyp4PWhpuI7NdGtnOUPPQWnkV/zrEML3eX1tgv14EUH96hcPoAee9svvgd8u/G3t5I66KpRejlT4J/+8Bn36aLPaN4qphmG/lLf23v9ECmvLY4W84Bzn+U7o2CAbu8W90gS/JHf1+lvhuhCgsZxWuABCWLBcUfQZ9njPM3BN5nNMqkbozsMm+m6gnNaayZPmqBTSWWxh4KfPrRxV6opul1yYGci8Zwy21Ld4+j8rwdvQAFVtdKS1Z4zQ/+s3ilfDV4WHd7xwAJdpMqiuxO8Vs7c3vgk+osuL/cxcNPPeTOrp9ClxIRX/oF7cASF5Vuhq5h7XNr0jaJ6JLKV84QNesxa87md4Md67z6it0PvrqXY7wfnezipVGqP3qFK33AE3C38ZbOdI6kOcHTyO4Br8NPasJ1B7/yq4+YLXruxZabSCd3ykGNxFLjBv43XXJzRM8YlJ+6Bnw3t2MpzDv20/aMtpeBdGhuL37qih5i2q78Dv9z3XueCOylPLQtP9oOHz6yhCJwn5SO/9rk/4NIiTy+0eZLqvGKcJ+13qM9be5mCLqCP66a58YA/8Qh5IHYR3fSPg40EOH1jxv5uH9I5t//S0QDf8UaxEz5w4TlfUxY+Bq5Fr+8qG4CuUGa04ATeKdtFNxSILvxPoiYQ3Hviy72YS+jGS13BN8HnOo7tVw5BLz58WO4huFm0XtfYZXStlERKGXhjxbPzSVfQ6YKKLzWB56xLYjkQjv4v8SHHAHgE7e/c6avoe66535sGF3J6ffDeNfRHvzkF6UYoqq6tNN8Mb5DqoUdKMg94aN/ry8uRpNc/WkMvAV4o/5s/NxrdTF7XWR384uXbVcdj0dNeXaw7Cn7ZttCS5hZ6XE/0pjPgRQEq/4ri0C2kbpr5g2/wVku3TkDnsQqJiwb/Mv1MhSURfY7atu4euH9KOuVlEqmP1MqNl4BHbVwMdkpGL1VcpWsA7/n3VoArlVQP6at5esBtaOnf1KWR+vuHQMFJcM3W8tPn75LmE2kFgbWjFNXe1V4G/nvo35r+cLKDF6p4PGnORKdVL1y7E9xH2tvY/wH6qoTnkCI41+Xx2V1ZpDlEXqVcH/xeR1vKp2z0Wwubwq3AT37YoX4lB72ec07nPHjJtrHvUnnoayTH1oaBG57eGkV5jJ4w9KswEXz2cJVM1BPSnPaB4VgueH5I6xelQvS9acq/K8DTHxhcHn2KvjB8/XIr+A4bRdHbxeiRun/XD4G/t7rVrvkM3cT50tUZcD1dM//fpehlY2JLtD+IvnBd6G4Z+o4zK/abwe8Ei7Tov0BnuDJbJwZezS/rs/gS/Uv/Zl4VcK8juQKPXqEzbT57+gi4cfmNZtMqdO6PP3JswXfRfPZZV43um58y5AU+3Rct9LQG/anOZbar4JSJgjbLOnRN7Yy9d8C1KEqBTPWkOURz3igPPO+kpOiLt6S+ORxp9+oH8fkiqut0I7pNg7VzK7hvlkkYx3vS+cR4Ow2Cf264LFPbhL6rp+3UNPhWQZ4h9xb0g4fO69CMEf/nZfNNvjbS+oNPiXCBa+wOVmv6QIpD3oQ1IuBXZA2nfD+if3jF26IE7iEQmrGzkzRX0M7c1Affc5/PqPMTenIiv74lOKsdP1XoZ1JcbXiw7AYewxJRvOcLaZ2bQu6HgFsYmzr095DmZNUXanHguj1XuSL7SK/fa9zxANzh2LZ3ihSSJx2yLAUfdOcNHBkgzSG0Of1vwbd89t+TMETKU/5zpt3gjxTVhjWG0VcikmvGwFU0zyRNfUPXocgIL4O/y5zWTx9Bv1G3L5h5nKJqSTu0Vv8HelR3SRsfuNoWmecLY6S6VHWPaw845dZ3l+yf6Gs5aUzVwbu4lwVMJ9E3XRqMMAafOenZTTWFLpiiWGwHLs6iH1v4m5QXjBs6vMAzesIOWk6j33U7PR4Gft+Lf5XxL3q1k8bCbfCnEbzPy2fRjZLvr2SDe731djs9jy6TGTVfBl49ILWLY5F0PgLrxhrBU67oD9YsoV96Sdv+BVzGrj7ZfQX9NUtK4Tj4sPjdo3yr6EsVNWHL4HK3PrE0rfmCc9fpYCPmn1D/NV0afanQhZ982sQH/vyP1ZWd1OjUMg1NEuCdh5+qdtKgF98+HqAK7s5kvXSZDl3K76rAEfCJbufne9ajBwVZVFmD9zl1ePYzoKdpfTT2AP937s6eSCb0uHMzvSHgSkkvJhRZ0M8kvz51Czw7WT5vhBVd1EWpMxM8fOcGpwQ29O+h9prF4Jq/NXdqbkLPuaz+qBbcP7f92xQ7etT6jnUd4FM0FQ/SOdGzyvmODYPHla7a6XOjM8kK3Z0BD3VLE1zcjN67eaSfegLmqOH4r9m86DJMZzk4wGPffrtvuhV97+MCjR3gtc0x9uu2oa9PeeEoB+6Ye2vHU370Nt+oEG1wD7bJ75YC6KU/RONMwWme33vEJIT+40ZCigPx+sP5Z1/sQE9c25Z8AVw8ZsPuMzvRf4/3xoaBd4u+/8Uhgi7+szIwAVynq7eoVhT90n0fm4fg53W1vT3E0XcUM+1/Bh60l1ppmwS6RUUg8xvwcpPN/5ok0U9Zt3R2gN87dqXGTwrdTW1twjB4z4zW1V0y6J0r3IdmwBWGLfQ/yZJckXt+3STxu21v2K7sRX+ZsDZ1E7h3dFiXlAJ6e1HXXkHwtmd30iiK6Kel0xqkwZXpqOyj9qE3PztqpAHuoFgpuk8Z3bx/zQcjcJ51Lb9HVdCtDR4ctAE/zitVflsNXfmB+jN3cC3FkWAtDXTdKz2bg8Gl2Kd0/miif432uhADfsfuEFuGNrqLA2tDOrggZb7b4CD6gZwnbE/A76nMZy7poHcvHTV+Bc6opOuSo4ce+Y/6ehP41Wvjcsf10d8bV5f1gNt/61+lNkRfmxzZPwa+hVbwXdFh9PQLTksL4EYPnsdbG6FzXLVgXf+LovrRJ9WKxYSUL262PNzgCfs/iFYcJZ3/h9AtO8ErHpnOOh1Dlzao5tgLfstbpIbLDL3sylZabfAoK/3oN+bo3ptTJkzAD22ttPA8gT71eH+TLfG+TkE7t58i5fsAdaYHuOW/yJkWS1L9PDbrGgxenfCjOsAaffjJJpkY8HVjcTGituiBkVaTaeC3n9049dkO3Se2N+MxOFtxm1i4A7rjySi9l+DyabaLMqfRP930Gm8En5ZQbxw8g36yPT70M7iFoEtSzFn06KqpjSPgeXJfTyu7oNMuXb/zF9xwe5b8+DlS3gk7clFPwb3cK6G740Y6569XIjeC/z3P8vmAB7rQxx/z/OCJR4ofzZxH/5iYeFIS/M1spm+mF/q39tjnyuDPtvfpHfEmxY/w5/X6xOujbLb8u0jKL2l3EwvwgDnJyTxf9NnkE/FnwK/z6rw290fftSatyRu8sTTnFl0g+kZq+eUr4PvCjzo8C0J30hEXjANff1BHwS4Yvcf1kvo98IjSK4xsl0n73SxzvABc9tZ6SmUo+sKorv0r8MLET0UuYehcwfVn3oO/uzIeznMVXSE4z74b3IdL50RDBDrvjaXjI+BdzD8lva+jh2qUa/wFlxTuohaKJPURnRGhdb8pqpN86798iCLFs3LEvw3geaUhBZdi0EPepLfyge98rBa2+yZ6UfDuJHHwg5XaJ3puoeuzyZspgW99HCt1LZ4U/5srWXXAh2S308vfRl9RfFNpCv6ba65/OBH9GcdhB7vfxPcXNpbeuoO+xdBynQe41rhHlFoKOkPY36QgcOYTnA6TqehmJ7mEI8FlhVb3p6ajUy7U594Bp9CKc+hlkOYNT5qd2eBWtakTc/fQN819Si4BF+cxqn94n/T6TGXaGmJf73XumjxEv8+136kVXO9OqM/abNIcMt9R2wturLnWuOAResl3Bs4xcJYb1WKnctFdrwxYzYFXSNXRMD5GD/M0u0f9h6JaM08/UJZPqvOmF76wgefei3nhWIDu36zIuA181+TxBPan6EoBj2TEwbkzbNxrikhxSF1nogju7/v4kHsJqQ7QxTgfAPfdr7CTr5R0j8JM/ibgdnnU65qeo8/TqFy2Bi+KYKP4lpPmBO2dIefAqRItX+58Scr3iHcX/cB57owndlagd7iLOl4F/25U5hVaiV51V1c/HtzvSp2R1Gv0R89FRe+Bs86wSlKq0W9btK3mg9PZJzNF1aLHiCo3vwD/kWg3pvSGNGc2et56+4f4PzLODaP16A3d3oc7wA9bPM263UCK8xUd6kHwTHe5MK13pLm382fhBPhlizm7P+/Rb9I4mC6CK/TOamQ0k+qYRMlv2mmKqvQLGQHDVnS/6d6wTeB05flrl9vQC/8OsvGDe6XZD+a0o4d3vUkQBzcTN6s+3kHqp/tusCmCvxaNuEfzidR3amTDtMG7T82EFHeR+gjrmykj8MXrqbY23aQ54Y3KUUvw1IvBmqw96CNXHhScBbf5cVfoVS/64NQ81UXwjVmLNM79pPknT8UwlHiOZ+wI9wC65zGfmzHgbNw2jfWDpP4V/6gpBTzf3CXP6yupTtK1r2aDt/57GiXwDV3RaE60BHyhWcq97TtpbmHnNXxN7Ddq3DholNTXplWdmsBVaChy4mOk9cecCfgMvm2JcfOXcVLdi0y8Ogx+e+/55asT6B+ut16fAh8NYhuQ+0WaE3ZvCl8G90n5Uft1Cp2ay8GXfoai+slkMfvmH3SRH2/t2cEL3TQjVWfQDQ6o6PCD95fWuU/8RX/S9k5QHNzqd6Bpyhx6lKj7nDy48Yirku4CuujsnlpN8LU2idvmFklx3sl69TB4h/Ac9cNl9HxnVs0T4NZro8eM/6HzWUjPOYKblZ9og674n9tp+t8/D57MZV36ZC36m8afB4PAhb4lp55chx4bc234Gvi2ccZQBhr0jfJHfRPA2/8UOZXRoifZHqa9B/74TcwRR3p0z5LAG4/B1XdnyrMzoE+3DNKXgRtM/+CrYUR3OxoUVAv+aNCR1p0ZXWnE9GcL+LEa7smtrOi5Is7GX8CDrFY7329A31z5uvAbuEsoT6XvRvShA+Z0v8Ej552ydrKjn3KUP7YMfvHaRHQnB/pY5ak0ur/Qp9Y8vBjKhf7jT0vvRvAskVhrqc3ozx9EsfOBv295okvhIbl3qpYIuOfLNTJRW9APM/5zkQUffRG2ZR8f+gD1syhV8MQkZdof29A7aeqy9MA38u+aur0d/Vbh7jJTcJat2l+0BNGvZM9UW4M7nYiv+yOEzhHFW+cMzpvNUZAhjP503cNKb3CdpoY7hrvQG/LjnoaAKyTmX1kWQX+/eyw1Etyoo9YtVwx9l3BecCL49iOMJ8x2ox9V7D6ZCW7RFXqAVhK9bv1FqXzwtr27pUv2oI8rXv33HNx/Hx2frTS6tgtTXQ34xSI2hg2y6Ac1119uBl/rpD/7Sg7d1SZY4TN4sPjzIWd5dBknr5EhcJ93Rq2bFdE5V0aiJ8BvbdhS8VYJPaGqT2IePKWJI+fCfvQ9JmZvqWYpqleaVG4LqqA7WViYMYPb9t8O/aCKXn3x+yAX+Om2rR6X1ElusGonAD7t/tFytybpHIKy+8XBA6Of6/doke9l0EgePGeuUenaAVL8BBS+UgdX8GcQkddBfx3NKaAPvmHUh+ubLvqfMM5Lx8CVmDlo4w6hU9EUd1iDD5f3z6gZoAc9mRRwBjd71fl10hB9UajJ6QI4w8hCe+oR0nMYDXMugUfRHqrRM0bfve7i4DXwpPGGp/Mm6EyFuhvjwdc5et7LMkXfW9KwLx28RVvv5tHj6JpFs6cegbOdMAihMkev1//kU0S4d4BHoQW6pfDZyApwqdNdNpYn0e8PliTVE+f/75QxkyW69PbytDZiPSwbNF9YoT+66pvyBVzEYULmjA36w+fzN4fBjTv/CnHaob81UQyZBL8hKcJZZ0/Ku3/KTvPgtNpX6c47otOeWK9HNUdR5RhhXdh2hhRXjOmCTOCSIzVjzU7owUX//nKAj3Bm9Po7k+73z+7qbeALB7NbRM6h27tJhImAK+t/ft3lSqob76g0ZMCf/pUuDnNHn8/Kn9sP7sH5/KHMeVLdzpbKOgBeHWyfNOhJyhfXmwZHwP/R7rsRcwGd+27rhDn4E3+lIOWLpPPsmQy3A7/w1NZj3Af9b/1v7nPgm/2L7e/4ketVz31v8Ct54mYHA9BvyubvDAZ/ydFy6G8gqT4sn31wDXwiMlH1/iX0qBVOnjhw++EIGaMQdPae4ohU8Ohf93auXib1O3mtqYfgcyFDvPlX0D88e3ekANzETW/DiXD0gHnd3DLi3G50U6+PQDfJrFuuBtfMjVkovUbqs8eUdd7PEb9n6DJpfwPdt7Q0sgP8vJr7141R6AccZd71gR+3Tv78Ohp9H33pmhHwdR1jza6xpPNXVd8zBc7sblO75RYp/vO7zBbAd6//V/YuDj1l1t+Pap6iquj1+olPAvq7ij0JjOC7wx89EE5En8mcf8QOLshemtyRROq/hz492wpuPD0aezkZ/aRF00thcO4Ftat7UtHFPPpeSIL/XnwV2J+GziPDVKwA7tti5RV5F31O48QDdfCzusLOSvdI96vZHK0H/lCdzXY0E/1xl/15E/DtUfzmtx+gb88UOnwSfB3V0SNaWaT6qc26wwH8infewT/Z6OYOO2fOEa+vFlbNyEGvvO9W4Q2++vzNXsM80tx1fyzwEji7dITE8mN0VfoUhQjiObSuwrlPSHXAK/RnLPgjhot8ZoXov69l3bkDTs11n5O2CL3jJ61aJrgU1R+WkmLSOahmU3LB3e/b0dk+I+WX0HWf4nniewdzq6zP0YdVixgqwJ87PJl/VYauLCNwuw68V+7qb+cX6J/u9fI0g2vzXB7bXEGqAxLDSZ3g7WPpX9++Is0DAfs29IMHXurrvVBFip/d34K/g9sXKn8SrEa3+P51bBK80rSq9UMNuqOOkuEc+NhB28ZLdegrs2O5q+CnrIRrd9ejr0uYX0O/QFF95sX4quctqS+8cTiyATzLmu35tUbSekTl7nCDMy7LP5V/j55/xqmHH7x726W8b02kuXc7DZcIuNDD7w/jWtAl5xn0pcCFHVwz1NtIeRQT6KcILqHImfLrA6nv3LDKVAd/utiXkPaRVDeiimt1wdVC38Qe6kTnVQzoNwKPftx0Y+ET+kWpij/m4GeOTIdnf0Y/vtl7jS34Kx3Fy6Zf0J/EPaY7C57qlh64rhf9rKYt/XlinXcFfJ/2oYe8v0PlB1719I2XFYUUPy2msyHgZSFX3ZkH0SOmkr5eA8/4cdrl5RC69UeHdzfBt9Y5nnEaRj/NU5V7B3xmPNSe6zt67JnsK/fA6fZXWb8ZIcWh9XaznAXi95q4T3n+IM1pWZI7noLTV8eYbx9HT+zpGC8DN34sdKz1J/r6B5sev14gvg/VZRw4SeqzmZMODeDaW7MPi02hL/ie2dwGvtYiXr/7N7p7c2h9F3hgZbru1Wn0b6qa5yjgUcL1B+T+opt55TCPgAu4Mmh9nSXND8zl2ZPgRzyc1W/Oo8sWeO2bJeKB6YeK6iJ65lJ/wwq4Jm/o/oklUn+5vXiYZhHyyE9RKWUF/cb2d21M4PvomBR0V9GZ1Y8cYge3TFuUm1vT+59nJMZU8YKPbaaRfUiFrtdwfbcgeJW5mLQJNfomb60EUfAexXN71tKir9GqmpUCN098J1FAh87XuWKkCO55WHP3qfXonk1U2WrggapdYoyM6EzNbX8Pgo9rhYuWM6H/9T2rchj8kPIRkdMs6Hu924OPgRvRyu3i2IBOsWd8dQq8NlB2Zy0b+soo17Q9+LUQQ2GPTaRzeLgo4AL++NflHds40D8pl+p7Eu+b9UGomRO94KiBux94VqiSkD83ukpUTVQIOK/jK0ERHvRb17kfRoBvF7cQ7OJFr/plVBoDblCyQTBsK3qXlUf1bXDTvgEBmW3o04G+9WngNOHvBAb50QUnXN48ANePahaIEUAPPGJYmQcu0/5DQFkInfcQ/9Mi8F6ZbYLjO9DZgr+llYNH3TwneGcnuu+tjCuvwTPfdQgeFEF33nHU4S347cqjQn9FSfHQS6XWAk5lMCF0Xxz9qHkBeyd4kmn6DiMJ9GC1k197wEXKTguvSqJnyjI9HiLe96juznwp9M7P1a4/wNczau46IUOKh7ZLYlPgYS+PiqyXQ//+SmdoljjPA0Giz/eS1qm9LW5lkfg/qlViDgroD+lpVaiX4Dku3Ls3KaHP5a0OMYD/aYiQqN6HztHOcpltifh+zYY9bsro/Hx7ebnBRy8WSG1VRVeW8XnCBy4c6SDzXg09qqRr3w7wmLvScr4a6HLax2vFwDXiOOV3aqGbRSxoSYP76rApdmqT8m579WsF8KgMgX2hB9EfFRXuVQWfCtBTltIlxc/AuyxtcKmqCFWKHnqh/kY2ffB5nT71KH30gJRrF4zBmZcPau0zRM93k+kwAzd+0XDgx2F0F5eNu63AXzlY6SYaoQ/LigQ7gDsPMOprm6Cru/g1O4NHMrUYTh9Ff/yMnuM8uFvTQ6N7x9CNSj4d8wEPoIo7etgM3Ypx5FYQ+N6bCcdXzNHXWu5vvAKudiLfIu8EuuPh7oXr4IaaX06Zn0J/efm10E3wfeJbbOis0KVTZnQTwWfmz9s/s0Zf3OfjlEbET2T/aTtbdE16w9D74BvfWTqz2aPvv++TmAPeEz/tWuWAvqVw8WEBuEpb6vlzp0l52v7pyTPwJ1YW3rxO6IaPWYteglcIi/s1nkVnGMouqCbed/3GoIsu6Bc5M7PfgvuMMV7e4Yr+7uea5Gbwpiebwz+6oSvQvw3/CL5ead/1EA/0Bca5c93gmu7u0ZKepP2mxB2mgOfIld/q80I3ML8r9g083JUj8YY3yX9soRpf+t/vB6Yo+qAHTbJ8nAI/2ESXMeKLzsPkkz5L3OOLtAcJ/ujHv1nYL4P35h/I0QxE99j6QohqmaI6dIPqye8g9KzjSRQ68H2KH4ruBqOLyc/HM4OPJBc9N7iMrmHVq7UJ/F9CVsVSKPoOz4O/uMGLWfOrc8JI98W5P54P/NjEm/rjV9G1xytkhMD12X+/p7mGvpzQ1CwCznVW4kPxdXSf8nO2kuBHOgI/2USSzn8+87cs+GMFSg9rNClu51z9lcDnAowHX8WgU5l3rKqC81zt+u58E53ldWeQNjinsuvPzXHo29ouzOuBrwvj/PM2Ht1P/LnLEXB27ba5C7dJeeeT2mMKnmiXsiKYRJofju/SPgE+VX9xXfsd9G7nUznW4JmmDuuDU0h931yF3hFcbdaOVSKNVGfqmm2cwQNjPDl609G1DrOUuoPvoI/nvZ5B2m8aFY03OO/BN9sVMkn3a5Rv6A9uJkO36/t9dDpWtrhg8Nlic4n4h+j9vnvaw8D5CytkNbLR52VZmG6A87Hu2Tf1CD3l62O1WHCDsmL19Fz0jSKs7gngInEHdfQfk+LwkXxyMrjm1XHDxXzSfEIjUnWX8IC7po8K0PW/fut/AD5mbnfy2FP0mWH3hRziHunl7aiL0Qfzm1gKwJ+78pwtKkG3GVziKwHvu8DsYV2KXi2wVrQcPItmgw9LGel9OSiSleAmtAKXKsrRD59M2lMLrmCtGX72JWneSJEUbwCvWfKM4n5FqpNe2QLN4J7VxfH1laR6GEXF3g7+8w5VqtdrdMmrmmu6wAfPWd8XqEEXpj030kPci3Bzblst+rn8kMYB8Mg8naKgN+jm/FeyvoELj7SXi79Fl6e6GDQGvqbGufpLA6nPzp40+gWus2NTY8Q7dNYMhW0z4BqLDW17m0h9M5NpdB7cUDTq83AzeuS9nrwV8J50q4FbraQ4V310lmoF+ri62qjaB1If3H5BiA78/ZLE1GQ7es2oVjcjeNRzsfnUDvRmRZ5rG8AjLfeuOfQJ/fnzORkO8PIvhvQLXaQ5imagezM4G+eFDdndpP7+ttOPD7xw8RG3aQ86TUYPpyB4zfkx/nV96HXSM/k7wePPKIo87SfVE0EBNXHw4PoEKasB0pzMfqZ5D/g/71VF5iFSf89pMJUDT7L31nj5leThB7oVV4jf01jUc/pGyi/D4eMq4O33bphwjaC3PHjwQQN8pV7k5JtR9Hvi1w8cBLfq6LD3HEN3u5ZYegh8sSTy3Paf6NGWrduPgH81MfJunUA/cVg24ii4TqrApcBfpHlgteGHGbiL75oIsd+k+Yct9sAp8LxPY7Hdf0jzhkhkug24z93BO1dn0P3Hqn47gJtVDWfKzaKvn9+tdhZ8bPtM3tc50vP/fr7mCj5cxPrs5gKp7oXXtpwn7tdSvlJ1iZQvBlMsF8FNWJ3fTiyT+vukjZ4/+IOi3LaUf+i3mXhDLoFvkJ3t1l3T95+nH+IrDgV/ecng69xa9CJD14GrxLmFFP58uA59dznz+kjwLuFtsyY06OclVsVjwVct7qyupUMfMNLWjwf/zLBtfSE9+qf6Icck8BmBwo2WDOjP93wJSCXiKkZ/CxMT+pC0RHQGeInKzI4XzOgV7oPJD8AneLMlz7CiP4iazXwEHsvuoMjJhr4s7p71eIX4f3wSmnUb0Xf9OfKwEFyOicrgPDv69eCUuyXE/X4bOMbPiR7ub5xQBp4b/c66hQs9MNwnvAJc6G/l2YDNpP1qbfB8vUJ8zq30EuVFnzbfcqKO2FfB26DPW9D3Od1VaQD/3t8TEc6HzsaZurUJ/GbI4i1ZfvTudRzzrcQ6wwTThrajL3YytXwE9/p8LDtWEL1HMvxuF7j7mfinKjvQKSWhLj2EC/a+/CmM7k5PL0cBvzq3uz55F/pUM8fCEBEn7dfadETR3z8qKPsOXn//15dZMXTH/Z89x8DDzay+PdhNOn/xW6KTRD2kfP5lLInuzzvQ+xv81M6Ti2uk0N/k113/S6yH7wd1gTRpneEasgvgZcWXWE/Jon/VOdm9TORv5zYexr3o15LY/db8g88Xno1C5fLoTdyunNTgKv4BkqcV0Tedc35CB17Tq6DEsQ+9UYFVgxG8LfyfVu1+dIttJz+wgMecaT7soYK+p+7oyY3gCh4PLbapoZe8WxriAOeODXdoVkc3/mTisBk8ocTd3V8T/cJ1q69bwPlb7PxFtNFvXN9+ih9ct8kqvOsA+j/f1HZB8Px0+5thOuhKy+2aO8HXyJ1PldFDzyt5WygKTn8pInvwEPrrA4GbJcAzXbKLYgxI52w6GygF/mqi5ZXyYfSwMLl+WXDLP/8axo+Q4tlXWUkBPOmsfMcdY/SZjxtu7QNPOeBDOXiUVK8Ui76pgD/wrh77a4oeYCAkpwFOO75x9v5x0n6LnIK1wXfFu6w1Nke/yRz2Vgc81LaFac0J9Kw1vgz64NkHFLifnETPldTRPQwuI5UreNISnVXlb6gxeN9GIUkGa3St1ssvTMFdex8qldmgl4VP/zQDrwqSPOBoR8pHOj3ek+B1Y6+N2B3Qt89GaFuBB7JZnKpxRJ+bKXK2Je5rePGM+xn0lux3UQ7g3ib3vfjOom8uas87A85jZBLc5Iyu97z5jTO4cgtDpN859DaLyh5XcPWKxsRdbuj8atkTHuDpTLH3P7mj5zDcWPIC7yo8VXDlPPrgKRcaH/DIZOmX0l7o8n0GjP7gzi9Z3g5cID1fXJo5CFya5k979EXSOU/yMoaAlzv19u/3RfeuZ6a5Aj78pXlszA/9nRnDUjh4oV79bFIAKU502CeugQvlvaE6GIROpSjREwluO/me5e8l9A/NFm9iwO/QdvPcD0E/kZuadwuc7ftPYaNQdO7zs1EJ4Fsv0cmsXkH3aTjrkkS8b90u1fxwUpwfWT6QQsRz9pFDJyLQV57kb00HF9ty6fj66+jM4SFTGeCm7CV2z2+gJ/r6Vd0nzv/yLzeHKFJ+7U65ngV+3kIqYFMM+i/N70Y5RPxE+0ZUx5Ly3caS4zG444aGeLdb6OUitJ1PwO92bLm3NR49VnUg9in48+aL+e8T0LMP/NIpAW+e/Fzum4juNSS3UgrOIqZWv/MOultpaX45+OsL+e2dyegsjl4WFeCyNfyU0FRSf4n3WFcF3roueVwqnRTn3wsfVYMzSGyep9wlxcmKrF4d+FnZdOroe+imQWtG68GjGETY9t8n1WcmzsuNxD0+KN869gA9WM+Huwn808xh0aQs9Fe9Inkt4NemxvceeIRu6bhb6QM4+40ozZkc9P7rYW8+Euspkz2SmYdeOiFr8InIF5fBk0fy0U9Jq3z4TPSRlDinf0/QDy/fN+oBT1Q85P24EJ3m15mWPvBeJfpQiyL0+fyYgwNEvMW9i6EvQb/Xy/NqCPyAwq3U0mekeYaPWfIbuMRWqxz75+jruJzSRohz2CtVurEcvcBJin4MvMGXvvb1C9IcUn7G7Sd4xpfhVtcKdLs8to+T4IyG9b1bKtGtByVkfhPPaXj8410VustqTcw0+H3VpFmfanTanLbRv+BB2RHrdtaiPwyxUJkn9vU3cENnHXqDuF3sIvjKVp+tofXoPwwm+pfBn3JeFJVqIPWviCWRVfCIDj95SiM6e3Csx9pViuoT/VCtqPfoXJ+fPFsH7uQVa7SvGZ1e1nyWBny9eqbljxZ0G/lbMvTgv7PLnBPb0DPDTp5jAE9I/+ij3Y5+sObFfSbwizzTYdMfSXUvtuATC7gIG1fcvU70/HhlWrbV//3ufcbhLvQzHqelN4Gna7vkr3xG93sneYID/JNr2ou8L6R70bwTzLVK/L+59rfmvaT6cykrczO4/WOmTrp+9LsCFtW84DGP9YaeUUh1r7W0dyu44UDkL7tBUr0Sq5rZBl6q/HGZ7StpPV0X1guA/3ixleH1MPojnz4eIXBuQxcu1+/oPEXzu4TBr0xUCm0ZRT+y853MrlXi704c0u9+kOLB/+g+UXAHUXdVn3H0tSbJquLgj0ta9IUn0C8eSVeTAG8TkrLomCTVTy47lT3glh6Jpy9PofPqjytIg8/Grr2w5w/pHm8q7pEF1/Jzu9w/Tbqv60eE9oLTCA3GRP5Fb+6R5lBYJf6OdyxNaY40P+/6SqUEzhvfmjs6j664yX5iH7isjn7Z7UVSPKuVdSiD6yY1vdFaRg83GSpTBbf2P/Lxzwp69a/hO+rg0aNdAxmrpHm1rOaiJvjSJ9tJw7X9/3mfUZCxNvgX5d9Ly1ToVZY8ogfBXdhD1+dRo3++fOefDjitMTeXOS16ns2/Vj3CJwuF6OjRS9MPpeuD91L0pZ+tR/frC3UyJM5t209VO0aSV+dIHQFnuR9twMaMLjtZNWtExKed7IkqFnQRusYyE3Bps74z5zag9xS8vWgKXuBzzZt3I/q7G5Uyx8GbKhSuNG5C91Ep/GkGfnLL+M2LHOinne9mWoCrxWTc3cGFzlUabXoS3JnZPP8jNzpDTTCNJfjnaPaXITzo1dI+RVbgtxk/NkhuIZ1z3sWTNuBV/vGf+raih7aFrLMDD+gyG76xDf2m1p1se/C1XPx/FLejO+e91nEkni89tjoigH7r0eL30+A3BJ4z3xZCv0rRvexE7IsSzqsljN46XcjjvEp8T99c5M9O9LEI6UIX8KIMCfkMEfSTGh80XME9btNqG4qhZ9XGtLuBLysNGi+Lo+sWult5EPUzvNI6VwK9Kc/7x3lwes90V7M96AXmD9y9wFfmggNopdE9Ty3PXAC/y+J4vUQGPd0ixPsieG2BQZKtHHrhjNxfH/BjHfJZG+TRJVq3ePiB610QKqlUQE+OUhjzJ55/Y1ONixK678cb1oHgpzfQtPHsR9fX2twRBP5qeb6vQRn9duhXrWDwRt1f496qpPiUnSgKAa+ZGlkQUkfPWFLgCwUfHxui+6hBikP/xvAr4PFSAxwhWujFx+/9DAPnqaQISh5Ap5etPXwV/Pu1Qam+g6R7LJYqjAB3j/6mekMXvd/vF/N1cKU34waKh9AdxFfP3ADv2DlzYkQfndbFrjoSvKfgn1OCIbpaHx9XNPjcMUYfzSPoaYKyZ2PAKZw84b+NSPc19PBFLLjpD9H4uyboDa+86W+BCzcoZxqYkp5jlmMSBy6Rb1y4dAz94TG11HjiObecKnPM0K1PqAwlgEd5XG46boF+jCFrRyJ4l1baF5qTpPyl83NMAlehfTFafAp9zd+KB3eIOlbwedbGCr3yosdAMnj7vgXqDTbob6WTN6eCH33Au6nSFv1eo+KRNPCUr6rbXexJeUcxvpJO5MW0gySPI3o39+izu+C5rVHKDafR1bmXhzOI8/F4fsjbCf1GyE22TKLftQ+ZCzmT7mU+d9998G2/WM+0u6APbjtk9wD8zmsV72BX9NkUr4iH4O/U3a5IuKNTbRDNyyLmgXP3bvV6kN53m+v7bKKuKndmXPdE53TV/PEI/E8+Q4HCBfRddx9T54KHlKm/+u6NrnPs8dY8oi6Z+b2P90Ff2Kst+5ioexEl3Rp+6LXDvjr54A81pkam/EnPX2dg8QScK3T3bHog+lO5aqcCcH0tF2qDS+Rz6PYuBNcMebxxKRhd1SEx5Ck4g9wkf85l9CM5/64VgZdZSEkev4KeEsMWW0zk18QFZZpw9Psv2+NKwE+MvjxUfBV9qk0r4Rl4yYF1FjbXSPnleTa+lKgn6/TPsN5AP6d94OZz8Dqe296vIkn9d/zLjTJwgauDV5yj0bXWi10pB1fUkojbHEvqO+qKfi/AfQwC7r29SYpPBXrXl0Qepb8vuBCHfv5mslUF+HHpLZWCCaT+/uuP4SuibtO4Nn24jT4zu2l/JXFfG6u/XEoi1Su9NTurwEeOcvzYnUzqv9EvWF8Tc2nj2bmeFPT3DtqzhO9xrqa5noYu6XX/SzUxJ+zdzK5wl1TPT3VV1IA37Dgv8D0D/VDd19RacLm9TXviM9FZDd771RFut1NV4wEp31Nij70BL34UajD1EP2B0d499eCZVIMn0rPRg9mr6N4S+z2nelY/B33r1d19hH/+mu6zmEt6vsGVwgai3tqthj96TOpT6+tDGok4HLFOOPaEdG7Wf4+8I+LZpfY+dSFpHvjLzveemLcnhIuKnqK3Oe/8QfivMzdeWxeT8tpRsqgJ3LV7qoXlGSl/r0v6NhP73Xe8r6IUncNPVKUFfGNk5fjZMnSeboG1reAT9cKL3C/QBQ/x1hD+eDSG/u1L9GeenCFtRF+eWOC88ArdfJZT5QN4frv9DsEq0tzivW2B8F9xbTIfXpP6V6J0UTs4t4SyxqUa9NEVY6eP4K/Tco/srkPfqB/K1wEeTuG26nmDPrmj/gPhm6eunrv2lpR3knyhneAiTXP+8o2k/sgQLf2JmHPcz1z/9g599ST3AOHPu7uT4prQfzVU3egi6iG1frZ6C7rcn3C5z+Bhk5XPfrWinwhw7yO8Jk66Lu0D+jeGS6HdxBz+O6v90EfSuak/2/kF3It6y+BCB7pGLcc7wjsbb/7K/oS+Q/b+2R7wWBX6f6af0a/JW6/vJe7d6hIT9Rf0OffDWYQfEZ3jKeohxU+op3ofeGiKm4h1Hzoje+sXws8XjsqzUEhzb539+X6i3jraHqgYQE9VlKengGu96D16doi0Tk7dVMLv5By34x5GH1pJlRgAvyX10aP+G7plvFwV4X6HDwd7jaBvCeQwHCTiak1TtMAP0pxwQrWH8DAN3bS2MfTLH585DhHnvPFtXtBPdMUI/ynC285pvxCfRDfaGufzlZiTjesavvxCN9m7+o/wyQrNrojf6PXeNaHD4E/yar/tnUaXvkyh/QY+y6s1MzxDqhvLZhGEWzC+oYqbJdWrCCn67+C+Fw+wqc+jxzQ6hxM+d6ph268FUh+0Z1g3Quy3Qk8ibQndaok1iPCO2Ob9h1bQX0pfmiM88/ORQwv/SPNMvoXbKDH/3+wwz15D+c9pNjz8RnhrudkZUyp0qhVrix9E/Bv2ea+jRtfkvtlM+GVD27CnNOhHaBRUx4j1lI7EWdGhF502KyA8N+xcJvN69F9DM1vHwafLpgtfMqDH8Gy4QfhDQ78qJyZ03qLHs4RXaa1t4WJB5zFotv4JfuBORO8bVnT2GK9GwrX1Nox7sqHH8j7cM0Hs1zRpYfsmdM7bNrcJXy3np29jR5fIfLxI+B+vHM4gTnTbrxGnJok8vSK9Q5wbfe/KfCXhbSMvZb5sRpeOW+X7Bb41VVsjghd9SOduIOGzd1uP7N2K/r76yxfCk3+bWw3zoXvdK9k7BX4sZvjcLX70MzckbxLufdEtQE0AXUzQcIxw40eL1ycF0XWYNmn8JvKXP/xO6g50rbHgJMIL+9ge6e1Ez7NOniD8X39a6fwu9LWbbNX/gKcKiL7JEkVvffAljvA12aUfj4qj3y2n/UZ41lnNISoJ9LmZUdlp8A0ubVOFkuinFkNDCa/NObVqKUXyc1/aCDcUGGdmlkEP+j25ZYaIhw6fLS9l0Q+K1p0mXLOSVsxpL7rKy5NPCf/aH6/IpUCKz4MvFwhvkRXUeaOIPuA5pPaX6I+VT4957kNPGuoIJ3yPv5rDdmX0DPmE94RvcGr1bFVBD+EUZp0FX3/V8nKgGnqNwHUjwj9/nIgV00AfW629RbieYeDdbk30UKNP7YTv+sv05Ko2Kf5f1rLNEefwNrVC7iD6joHow4T71Yq//6pDOgd7pUjC741WdN/UQx8Za3hLeKqcwaiqPnoulzLVPBGHOX2zEwbojNF39hFepuFKk3oY/fbvAU/Cn61Z3aRnhP7hG0ce4QeGYgTmjUl1hmXfIOE23/mlso6i+7CYcC6AMzMVqR49hv73mrUe4QbGmoZUZuhqQo6BhIuVdZwsNEcfDXYsILxsv6Oz5Ql0V037AcLpKXO+TKfQLVltNyyCy6Rfi3hhia4aYatKuLkvb+IZa1I8GJ05R3iKW/5DTlv0GRbvZML5g1VL6uzQu+2i6wlnz/1Qc96BlEfTxb8Jz/5p94H/NGk9tj94l8BZD85SWs6gs5lIaRN+pSxiMuAsurNT9DnCNdV4V0RdSHmnsy6B8Ji+fMbuc6R9Jdx6SXhejBrPVTf0ht8qg4R/N/24S84DfQsVI+0yeKSko/zX8+jVTgsihP/iXdC+6YWu3sRkQPhpnsijqt7ogs0H3QjXF91mN3ER/Q9rfizhVIeKPFJ8SXVVQfUp4SP+2sG6/uguP9Z8INy24nP0XAC6+NuZX4RTGF3SHgaR7sVrK8sK+Hun1TyTYHTj24FihCd13nqx9jKpPrdw6RBeYSjcWBCK/r160o7wpx3lXafC0CU30Vwi/I+jwXfGq6T1OJ66Q/gamsGZ8gh0e8vFIsKtnnitO3Md3eZu/3vCb9vSb+SMJOVjE9Mw4Xu2p/LXRZHu69rVJcJf/pCUPB+DruFntPEfeOPLWmX+m+j31M/tInzy9nH9llukvAjtUya82m/cIiAefc/XB8aE9zlechK9je5GXe9I+FeLTT6fE9GLr2v6Ee5xLDs8/A562Gb+KMLFzPclyKagnztqeZfwl7at94dS0af71zwlvOG8XVFsOqnenmSoIXzNtbnXKhnoS+6B7YRvenij9ec99Miqk0OEP6vf1p98H713PPc34bcnin/qPEQ/f+fsmlXwC5t1lmaz0D87p7MQTqfXu/7hI/R4Wt0thDNecuc2ySWdG/M5EcLVy6h3rn1MimdB5r2En/2bJFeQjy78U0yD8EN7d2udKkC/ydhkQHiuX7Ux41PSfoWmzAg3qTG1KS9Cn+xJtiOclXnM7XQJKb8+tpwj/LFFUBBHKXpUYfRFwhdzN0bVPkfX4+gLJrx5JSvFoxz9ycOKa4T/Nd6Xu+0laa6g2XOLcIPc1rLmCvS4LsXk/61/nf1b/0p0ode99wj/bjnfKfIa/ZItbw7hlJeRw13V6KK28wWEe/Bsnw6rRS+09S4lPNDv2VrZN6R+RJdUQfhwj+6GoXp0pxmrGsIjVPr5YhvQ85va3hJ+OPP8bpV3pL4sM9FEOD8d3f6f79EfNz//QPiAS4pecjO6r7LMJ8IDPkqa67SidwnbfiG8T6nu9GwbutHug/2E/8o0837QTsrHmeFBwjMYJ64Yd6CXbVP59r/z8QqJW/MJ/Zmx6Sjhaf0cmU+6SPGwZ/c44e90cgtPdpP2daphgnCLYpUqhh50mUCRKcLV+D42l/WS1ilt8odwt2unex37SXWSX2eG8MGZpTH2AXSRnwyzhF+zjl2oGST1cfn0OcJtmoToid+5/38vzaZe+J8rlHNu+0auA2qLhIc8MNjR/B1dPsR0ifCKDUMy/qPo9NLa/8fGXUBnsSXa2p5AgkuwQCC4uxMIEhyCuzskeHB3d3d3d3d3d7fg7i6Bu4r9nrvqP/dnjO5nvLNpdpKqr2p19x7929lj9u1WzPn/wf2/P4cpccL+3T8vola5/srunSsc+Lc/rDG/kfP/N/k/e9K/lf84e8NDuUJyvbN79wrH/+0Psp7o8+C93SPeSfPX2dvMrj96/Ee716zY/t/+M9KHmYU+2/1R6WX/9lFdhq549cXuQW3P/tt9H/hsn/nN9Vxt+Ozfvq7CuqOlf9j98ZGv//Ziu4pd+fLT9XzI9+fffi3t9YeLf9s9XFHnn0MDWk9u86HKH7v/9ys0oMewc0s7/P1/d+dP++vaE+/1v/u3f/gB/9M/+4dXmML/99f+G17x2H1ir29YJdqV2Pv/yGtwuJTvyybqmeC3+deP8nu9IvAbPcw/Injpf/16H/C/F/b9/3vx/L//3sZF/v8c8D8djkaFp1ERaJQHjfKkURFpVCQaFZlGRaFRUWlUNBoVnUbFoFExaVQsGuVFo2LTqDg0Ki6Nikej4tMobxqVgEYlpFE+NCoRjUpMo3xpVBIalZRGJaNRyWlUChqVkkalolGpaVQaGpWWRqWjUelpVAYalZFGZaJRmWlUFhqVlUZlo1HZaVQOGpWTRuWiUblpVB4alZdG+dGofDQqP43yp1EFaFRBGlWIRhWmUQE0qgiNKkqjitGo4jSqBI0qSaNK0ajSNKoMjQqkUWVpVDkaVZ5GVaBRFWlUJRpVmUZVoVFVaVQ1GlWdRtWgUTVpVC0aVZtG1aFRdWlUPRpVn0Y1oFENaVQjGtWYRjWhUU1pVDMa1ZxGBdGoYBrVgka1pFGtaFRrGtWGRrWlUe1oVAiNak+jOtCojjSqE43qTKO60KiuNKobjepOo3rQqJ40qheN6k2j+tCovjSqH43qT6O58P81aiCNGkSjBtOoITRqKI0aRqOG06gRNGokjRpFo0bTqDE0aiyNGkejxtOoCTRqIo2aRKMm06gpNGoqjZpGo6bTqBk0aiaNmkWjZtOoOTRqLo2aR6Pm06gFNGohjVpEoxbTqCU0aimNWkajltOoFTRqJY1aRaNW06g1NGotjVpHo9bTqA00aiON2kSjNtOoLTRqK43aRqO206gdNGonjdpFo3bTqD00ai+N2kej9tOoAzTqII06RKMO06gjNOoojTpGo47TqBM06iSNOkWjTtOoMzTqLI06R6PO06gLNOoijbpEoy7TqCs06iqNukajrtOoGzTqJo26RaNu06g7NOoujbpHo+7TqFAa9YBGPaRRj2jUYxr1hEY9pVHPaNRzGvWCRr2kUa9o1Gsa9YZGvaVR72jUexr1gUZ9pFGfaNRnGvWFRn2lUd9o1Hca9YNG/aRRv2jUbxoVRqP+0Ki/NJoD33+NCkejwtOoCDTKg0Z50qiINCoSjYpMo6LQqKg0KhqNik6jYtComDQqFo3yolGxaVQcGhWXRsWjUfFplDeNSkCjEtIoHxqViEYlplG+NCoJjUpKo5LRqOQ0KgWNSkmjUtGo1DQqDY1KS6PS0aj0NCoDjcpIozLRqMw0KguNykqjstGo7DQqB43KSaNy0ajcNCoPjcpLo/xoVD4alZ9G+dOoAjSqII0qRKMK06gAGlWERhWlUcVoVHEaVYJGlaRRpWhUaRpVhkYF0qiyNKocjSpPoyrQqIo0qhKNqkyjqtCoqjSqGo2qTqNq0KiaNKoWjapNo+rQqLo0qh6Nqk+jGtCohjSqEY1qTKOa0KimNKoZjWpOo4JoVDCNakGjWtKoVjSqNY1qQ6Pa0qh2NCqERrWnUR1oVEca1YlGdaZRXWhUVxrVjUZ1p1E9aFRPGtWLRvWmUX1oVF8a1Y9G9afRXOj/GjWQRg2iUYNp1BAaNZRGDaNRw2nUCBo1kkaNolGjadQYGjWWRo2jUeNp1AQaNZFGTaJRk2nUFBo1lUZNo1HTadQMGjWTRs2iUbNp1BwaNZdGzaNR82nUAhq1kEYtolGLadQSGrWURi2jUctp1AoatZJGraJRq2nUGhq1lkato1HradQGGrWRRm2iUZtp1BYatZVGbaNR22nUDhq1k0btolG7adQeGrWXRu2jUftp1AEadZBGHaJRh2nUERp1lEYdo1HHadQJGnWSRp2iUadp1BkadZZGnaNR52nUBRp1kUZdolGXadQVGnWVRl2jUddp1A0adZNG3aJRt2nUHRp1l0bdo1H3aVQojXpAox7SqEc06jGNekKjntKoZzTqOY16QaNe0qhXNOo1jXpDo97SqHc06j2N+kCjPtKoTzTqM436QqO+0qhvNOo7jfpBo37SqF806jeNCqNRf2jUXxrNAe+/RoWjUeFpVAQa5UGjPGlURBoViUZFplFRaFRUGhWNRkWnUTFoVEwaFYtGedGo2DQqDo2KS6Pi0aj4NMqbRiWgUQlplA+NSkSjEtMoXxqVhEYlpVHJaFRyGpWCRqWkUaloVGoalYZGpaVR6WhUehqVgUZlpFGZaFRmGpWFRmWlUdloVHYalYNG5aRRuWhUbhqVh0blpVF+NCofjcpPo/xpVAEaVZBGFaJRhWlUAI0qQqOK0qhiNKo4jSpBo0rSqFI0qjSNKkOjAmlUWRpVjkaVp1EVaFRFGlWJRlWmUVVoVFUaVY1GVadRNWhUTRpVi0bVplF1aFRdGlWPRtWnUQ1oVEMa1YhGNaZRTWhUUxrVjEY1p1FBNCqYRrWgUS1pVCsa1ZpGtaFRbWlUOxoVQqPa06gONKojjepEozrTqC40qiuN6kajutOoHjSqJ43qRaN606g+NKovjepHo/rTaC7sf40aSKMG0ajBNGoIjRpKo4bRqOE0agSNGkmjRtGo0TRqDI0aS6PG0ajxNGoCjZpIoybRqMk0agqNmkqjptGo6TRqBo2aSaNm0ajZNGoOjZpLo+bRqPk0agGNWkijFtGoxTRqCY1aSqOW0ajlNGoFjVpJo1bRqNU0ag2NWkuj1tGo9TRqA43aSKM20ajNNGoLjdpKo7bRqO00ageN2kmjdtGo3TRqD43aS6P20aj9NOoAjTpIow7RqMM06giNOkqjjtGo4zTqBI06SaNO0ajTNOoMjTpLo87RqPM06gKNukijLtGoyzTqCo26SqOu0ajrNOoGjbpJo27RqNs06g6Nukuj7tGo+zQqlEY9oFEPadQjGvWYRj2hUU9p1DMa9ZxGvaBRL2nUKxr1mka9oVFvadQ7GvWeRn2gUR9p1Cca9ZlGfaFRX2nUNxr1nUb9oFE/adQvGvWbRoXRqD806i+N5kD3X6PC0ajwNCoCjfKgUZ40KiKNikSjItOoKDQqKo2KRqOi06gYNComjYpFo7xoVGwaFYdGxaVR8WhUfBrlTaMS0KiENMqHRiWiUYlplC+NSkKjktKoZDQqOY1KQaNS0qhUNCo1jUpDo9LSqHQ0Kj2NykCjMtKoTDQqM43KQqOy0qhsNCo7jcpBo3LSqFw0KjeNykOj8tIoPxqVj0blp1H+NKoAjSpIowrRqMI0KoBGFaFRRWlUMRpVnEaVoFElaVQpGlWaRpWhUYE0qiyNKkejytOoCjSqIo2qRKMq06gqNKoqjapGo6rTqBo0qiaNqkWjatOoOjSqLo2qR6Pq06gGNKohjWpEoxrTqCY0qimNakajmtOoIBoVTKNa0KiWNKoVjWpNo9rQqLY0qh2NCqFR7WlUBxrVkUZ1olGdaVQXGtWVRnWjUd1pVA8a1ZNG9aJRvWlUHxrVl0b1o1H9aTQX8r9GDaRRg2jUYBo1hEYNpVHDaNRwGjWCRo2kUaNo1GgaNYZGjaVR42jUeBo1gUZNpFGTaNRkGjWFRk2lUdNo1HQaNYNGzaRRs2jUbBo1h0bNpVHzaNR8GrWARi2kUYto1GIatYRGLaVRy2jUchq1gkatpFGraNRqGrWGRq2lUeto1HoatYFGbaRRm2jUZhq1hUZtpVHbaNR2GrWDRu2kUbto1G4atYdG7aVR+2jUfhp1gEYdpFGHaNRhGnWERh2lUcdo1HEadYJGnaRRp2jUaRp1hkadpVHnaNR5GnWBRl2kUZdo1GUadYVGXaVR12jUdRp1g0bdpFG3aNRtGnWHRt2lUfdo1H0aFUqjHtCohzTqEY16TKOe0KinNOoZjXpOo17QqJc06hWNek2j3tCotzTqHY16T6M+0KiPNOoTjfpMo77QqK806huN+k6jftConzTqF436TaPCaNQfGvWXRnOA+69R4WhUeBoVgUZ50ChPGhWRRkWiUZFpVBQaFZVGRaNR0WlUDBoVk0bFolFeNCo2jYpDo+LSqHg0Kj6N8qZRCWhUQhrlQ6MS0ajENMqXRiWhUUlpVDIalZxGpaBRKWlUKhqVmkaloVFpaVQ6GpWeRmWgURlpVCYalZlGZaFRWWlUNhqVnUbloFE5aVQuGpWbRuWhUXlplB+Nykej8tMofxpVgEYVpFGFaFRhGhVAo4rQqKI0qhiNKk6jStCokjSqFI0qTaPK0KhAGlWWRpWjUeVpVAUaVZFGVaJRlWlUFRpVlUZVo1HVaVQNGlWTRtWiUbVpVB0aVZdG1aNR9WlUAxrVkEY1olGNaVQTGtWURjWjUc1pVBCNCqZRLWhUSxrVika1plFtaFRbGtWORoXQqPY0qgON6kijOtGozjSqC43qSqO60ajuNKoHjepJo3rRqN40qg+N6kuj+tGo/jSaC/dfowbSqEE0ajCNGkKjhtKoYTRqOI0aQaNG0qhRNGo0jRpDo8bSqHE0ajyNmkCjJtKoSTRqMo2aQqOm0qhpNGo6jZpBo2bSqFk0ajaNmkOj5tKoeTRqPo1aQKMW0qhFNGoxjVpCo5bSqGU0ajmNWkGjVtKoVTRqNY1aQ6PW0qh1NGo9jdpAozbSqE00ajON2kKjttKobTRqO43aQaN20qhdNGo3jdpDo/bSqH00aj+NOkCjDtKoQzTqMI06QqOO0qhjNOo4jTpBo07SqFM06jSNOkOjztKoczTqPI26QKMu0qhLNOoyjbpCo67SqGs06jqNukGjbtKoWzTqNo26Q6Pu0qh7NOo+jQqlUQ9o1EMa9YhGPaZRT2jUUxr1jEY9p1EvaNRLGvWKRr2mUW9o1Fsa9Y5GvadRH2jURxr1iUZ9plFfaNRXGvWNRn2nUT9o1E8a9YtG/aZRYTTqD436S6M5sP3XqHA0KjyNikCjPGiUJ42KSKMi0ajINCoKjYpKo6LRqOg0KgaNikmjYtEoLxoVm0bFoVFxaVQ8GhWfRnnTqAQ0KiGN8qFRiWhUYhrlS6OS0KikNCoZjUpOo1LQqJQ0KhWNSk2j0tCotDQqHY1KT6My0KiMNCoTjcpMo7LQqKw0KhuNyk6jctConDQqF43KTaPy0Ki8NMqPRuWjUflplD+NKkCjCtKoQjSqMI0KoFFFaFRRGlWMRhWnUSVoVEkaVYpGlaZRZWhUII0qS6PK0ajyNKoCjapIoyrRqMo0qgqNqkqjqtGo6jSqBo2qSaNq0ajaNKoOjapLo+rRqPo0qgGNakijGtGoxjSqCY1qSqOa0ajmNCqIRgXTqBY0qiWNakWjWtOoNjSqLY1qR6NCaFR7GtWBRnWkUZ1oVGca1YVGdaVR3WhUdxrVg0b1pFG9aFRvGtWHRvWlUf1oVH8azYX6r1EDadQgGjWYRg2hUUNp1DAaNZxGjaBRI2nUKBo1mkaNoVFjadQ4GjWeRk2gURNp1CQaNZlGTaFRU2nUNBo1nUbNoFEzadQsGjWbRs2hUXNp1DwaNZ9GLaBRC2nUIhq1mEYtoVFLadQyGrWcRq2gUStp1CoatZpGraFRa2nUOhq1nkZtoFEbadQmGrWZRm2hUVtp1DYatZ1G7aBRO2nULhq1m0btoVF7adQ+GrWfRh2gUQdp1CEadZhGHaFRR2nUMRp1nEadoFEnadQpGnWaRp2hUWdp1DkadZ5GXaBRF2nUJRp1mUZdoVFXadQ1GnWdRt2gUTdp1C0adZtG3aFRd2nUPRp1n0aF0qgHNOohjXpEox7TqCc06imNekajntOoFzTqJY16RaNe06g3NOotjXpHo97TqA806iON+kSjPtOoLzTqK436RqO+06gfNOonjfpFo37TqDAa9YdG/aXRHND+a1Q4GhWeRkWgUR40ypNGRaRRkWhUZBoVhUZFpVHRaFR0GhWDRsWkUbFolBeNik2j4tCouDQqHo2KT6O8aVQCGpWQRvnQqEQ0KjGN8qVRSWhUUhqVjEYlp1EpaFRKGpWKRqWmUWloVFoalY5GpadRGWhURhqViUZlplFZaFRWGpWNRmWnUTloVE4alYtG5aZReWhUXhrlR6Py0aj8NMqfRhWgUQVpVCEaVZhGBdCoIjSqKI0qRqOK06gSNKokjSpFo0rTqDI0KpBGlaVR5WhUeRpVgUZVpFGVaFRlGlWFRlWlUdVoVHUaVYNG1aRRtWhUbRpVh0bVpVH1aFR9GtWARjWkUY1oVGMa1YRGNaVRzWhUcxoVRKOCaVQLGtWSRrWiUa1pVBsa1ZZGtaNRITSqPY3qQKM60qhONKozjepCo7rSqG40qjuN6kGjetKoXjSqN43qQ6P60qh+NKo/jebC/NeogTRqEI0aTKOG0KihNGoYjRpOo0bQqJE0ahSNGk2jxtCosTRqHI0aT6Mm0KiJNGoSjZpMo6bQqKk0ahqNmk6jZtComTRqFo2aTaPm0Ki5NGoejZpPoxbQqIU0ahGNWkyjltCopTRqGY1aTqNW0KiVNGoVjVpNo9bQqLU0ah2NWk+jNtCojTRqE43aTKO20KitNGobjdpOo3bQqJ00aheN2k2j9tCovTRqH43aT6MO0KiDNOoQjTpMo47QqKM06hiNOk6jTtCokzTqFI06TaPO0KizNOocjTpPoy7QqIs06hKNukyjrtCoqzTqGo26TqNu0KibNOoWjbpNo+7QqLs06h6Nuk+jQmnUAxr1kEY9olGPadQTGvWURj2jUc9p1Asa9ZJGvaJRr2nUGxr1lka9o1HvadQHGvWRRn2iUZ9p1Bca9ZVGfaNR32nUDxr1k0b9olG/aVQYjfpDo/7SaA5k/zUqHI0KT6Mi0CgPGuVJoyLSqEg0KjKNikKjotKoaDQqOo2KQaNi0qhYNMqLRsWmUXFoVFwaFY9GxadR3jQqAY1KSKN8aFQiGpWYRvnSqCQ0KimNSkajktOoFDQqJY1KRaNS06g0NCotjUpHo9LTqAw0KiONykSjMtOoLDQqK43KRqOy06gcNConjcpFo3LTqDw0Ki+N8qNR+WhUfhrlT6MK0KiCNKoQjSpMowJoVBEaVZRGFaNRxWlUCRpVkkaVolGlaVQZGhVIo8rSqHI0qjyNqkCjKtKoSjSqMo2qQqOq0qhqNKo6japBo2rSqFo0qjaNqkOj6tKoejSqPo1qQKMa0qhGNKoxjWpCo5rSqGY0qjmNCqJRwTSqBY1qSaNa0ajWNKoNjWpLo9rRqBAa1Z5GdaBRHWlUJxrVmUZ1oVFdaVQ3GtWdRvWgUT1pVC8a1ZtG9aFRfWlUPxrVn0ZzIf5r1EAaNYhGDaZRQ2jUUBo1jEYNp1EjaNRIGjWKRo2mUWNo1FgaNY5GjadRE2jURBo1iUZNplFTaNRUGjWNRk2nUTNo1EwaNYtGzaZRc2jUXBo1j0bNp1ELaNRCGrWIRi2mUUto1FIatYxGLadRK2jUShq1ikatplFraNRaGrWORq2nURto1EYatYlGbaZRW2jUVhq1jUZtp1E7aNROGrWLRu2mUXto1F4atY9G7adRB2jUQRp1iEYdplFHaNRRGnWMRh2nUSdo1EkadYpGnaZRZ2jUWRp1jkadp1EXaNRFGnWJRl2mUVdo1FUadY1GXadRN2jUTRp1i0bdplF3aNRdGnWPRt2nUaE06gGNekijHtGoxzTqCY16SqOe0ajnNOoFjXpJo17RqNc06g2Nekuj3tGo9zTqA436SKM+0ajPNOoLjfpKo77RqO806geN+kmjftGo3zQqjEb9oVF/aTQHsP/HCF7iV2jAn7/Or/sB+v/8Cg04tCfh2tLG/1nC+v73+wLzlo103bUPevTf75/cdkrMdeHsPm6ux7/97qJ78YeGt/uyytH/7elupk9SP4Ldzwb6/Ns7xOqcOpeH3WPeyfxv31lyb6aonna/UrvMvz1cn0i5Hrj237Hb/dvLbKrivyOi3UvUmfNvH/t8dtHxkezeYcD1f/v5pE/LBEe2e6mbycI5e4wa2SsXimL3EVu7/dtLju5VK15Uu/8Kvvtv737wSMNXrr15QI3wzr7gW8zgQ9HsPmzC/X/73ix12s2Mbvc0a/pGcPazzRZ36RDD7p6Ps3v822e+6V06pt1fjfz5b9953m9w0lh2n/Xutqezj/McNOqLa78efC2is5cqcGbiGS+7Bxd9FcnZ73Xwnrk4tt2jXUwcxdmrLGu8oFccu49s0Sqqs8+8vWp5lbh2X1rzajRn3+D1ZV36eHZP/b5xDGcfXzJg21/XfmJojFjOnrXXyL3X4tu9Vqs7Xs4+fN3lI2u97T7l9bk4//6ch0nODElg9+JNnsZz9iLeLS/XS2j3jD6pE/z7OQRuupXTx+5Rg0f6OHtIn98PoiSy+8qZCXyd/dq6Ui9CXftpzwtJnX1X6IT32xPbPffvzSmcPXqc29/G+dp9xbkjqZ39QLE0f4OSuK7XuQjpnf1op/YRCyW1+4GKnTI5e6xFO2PES2b3N/NjZ3P20RcixH/l2vPGe5TT2TP8qeB7KLndG4Y9y+vsNzLOSDUzhd3Tr01RwNkH13yYsUNKu9frOjHA2RMOzJyzdCq771yer4SzD1zVLX/S1HaPNC1hoLOvuHSgyBfXHmVSzorO3u1H1DJn0rieD2+GV3P2K0lrVFqc1u5+P33qOPvKYvNr9kpn99dRXjb89/U3f9GgSnrX/Rnyo7mzBw7NFZQ+g91b9gxs8+85s7hv27+ufVuf2x2dvceB452vZbR7vFMbejj7z1uxe6/NZPfSm0/1d/YSn+oNGpLZ7nFGZRzu7LmiLBtZL4vd/RdcHOfsi33fT8iZ1fX9lj44zdm7ZPGfESWb3ddf/DnP2fsVGDI/1LUPm9B/ubPPKnVu2fbsdj95tfKGf8+NignXjcth90Kf2u909pbVmm4Nyul6rvrfO+Tsx6qv2VMwl+vzFTbnjLOPqfr1cNzcdm8xbu21f5+j8kVOv3TtgYVjP3D2ucVGXTqYx+7ZGp189e/zmPvKzRl57X6/2PWvzu6TMumD9n529y1QMHw4syeP1vJ5qXx2Xz3zRwxnD3638V2S/HavtMErkbNvPvfr62fXfu7CoLTOfm5FyT+n/e3+snyVXM7er+94z8UFXPdDt75FnH1o+ZvRexW0e/T5kSs6+9L4qeJVKeR6Tib8XM/ZF9xomzh9YddzMnfR1s6ec+q2lH9d+7CSH3o4u085ZbwWYPfWczxHOHusn4E51haxe9nR/ac7+9mFk/MNKWr3Z80aL3f2aMXuBtQr5vp89Vi53dn73kpbOmdxu4f41D/h7Ddad6gYpYTr5z+z501nP/1xZ41Q156sXIRXzh6pU4QG20va/WO/n7+dPd/z8s3HlXJdr+GNY4V3vp4a09oElbZ74615Uzp7+h33OxUsY/ch9frlcXa/2Bl6xQ10fb+n8wU6+51GnQa+dO3da7Zo4Ox7Fu8ecbCs3S9UjNbJ2bvd8Zgwo5zdE0ZMO9zZV0epOL19ebvHPbdjjrN/zjh9XqkKruvy/cgmZ38bELo0SUW757pe7qSz5yiTYe1n1x66u2Kos1cp3mnL6Up2r/z93Ddnf5x99+5Fle1e5t7ZWBHM3svL43DPKnYfs798emdf9KD8qcpVXdflTfmizv588dSL6aq53uO7z9d19hs1793449oP97jWxdm//UgberW63e/1aDre2c+Oaf9sTQ27J4jRdZWz34654+3gmnbPMzzWMWdf3F9f69ay+898uR7++zrvlQnLUdvumbo8+OPs1TJN9IhSx/V9jUrs62H27EE3o4W69tCzD/M7+7rRKeJur+t6T43PV9vZi85rlWhcPbt3S5m0u7PXm7MxRVB9uxe+PmWas7ce+iN9wQau97LmbXP2m7WLZo/b0O7z3/pfd/Y43iP9Xrr2/Z/bfnf2XnsuFD7YyPW8ap4nkadzX5VLWGpGY7tvGTe1oLMHH2pUoX0Tu3sdG9fI2VckX169VFO7R66fcrCzTw96Wy9JM9fnYlGV5c4+ZkKeZp9d+52XSc44+50FfVqfbm73osNHfHD221MPd1wUZPcqJycliGj26yFRe/YMtvvF8IULO7tvpioDKrdwfe6Gjg5y9q8npw9P19Lu2Rf3Gevsq8veG/fHtc9YG2ebs/dbk3ra1VZ27/+14n1n3/C29dw1re2+6nzOKJHM3t9r45LBbex+d9T+XM6eNva31XXb2v12z68Nnf3Ou4Kbc7RzPQ/f3hjl7FdXD9oVOcTu5f1bbnf24iVOHLzv2kuuX/rY2avtiHFyW3u7J5o/KU5k5/MbqdqFsR3sPr5e9qLOHiH7jOvNO7rOCXkHdHD2dznu3ivQye5BAwcvcHbv6Cmfxunseu+MK3DR2SfvDX7zwrW/WLcyfBTnPVJy9ecDXez+Jff53M7+d9G7X9O7us4znda2cHbvq7kitO/muv93lJzt7LdvdY9aqrvdO9eZed7Z623eHTtJD9fzedlKj6hmn9fgb8LPrn3Hx+7+zr7mRrHkp3vafcQ4z47OPiTVsHSLetk97ZlqK5w9Q6GTWXv2tnvtsGahzj4ldfS8lfu4njOd/XyimX3vjYqF0vV13ScDz1d19hm1J5b449rDumcZ6+zeiy+Xu9rP9R5ZWfWEs6fZHr/amv52XxRcxCO62ddOrlV38ADX8zb89yLOPsVvZpO6A13n5LO9+jn77oW3WuYYZPd8iU/tcfbwFxN3iDzY7t8LPPvl7EWP1O9+37V/GHi5QAznOd9rbr9tQ1zv38IT+jh7hI93h44davc5R5Luc/Z0GZOObT7M7teaD1BM5/yTouGUAsPtXqvjtuLO/ura3NlxRtj9UYFDw53dO/DuoheuPcB76RlnP9HNd9WBkXbPUrVxnFjO99uw3sbpo+zeqeiX2s6+4u/MHSGjXc+HPEELnL1o7Rv7S46xe8yBG587e54W3sd9x7qez11u5/ByPkeZqp/75NpzNnvc29nvLJp49dQ41/N27tljzn7jzLk7C8e73iNdZ8SJbfajy6M97jHB9V4rXKqRsxfKWeZVpYmu51XpG2uc/VrrIR/TTrJ7gceVfjl76soHfoS59jdB68rGMfu20F+6OtnujZJ+meXs8RL7RV4zxe7VGqV57exHwjrGGjzV7mN7FSkc1+xlhq/xrjvN7pcOlp7o7Em2PU2SY7rdnwwr+MTZd49InibyDNfnK3Fy/3jO/R9WJ/N91z7g4qfxzp4y7uRc22bafeLPHU+d/ejx0/5jZ9m97/MOheOb/aWPR7Hms13vlze+0539Q6SCgQXm2P1rnX3vnb3AhM6V48x1nWMH1iznbfakG1fVeuHao255uszZP7Z80PDAPLtvL9EhQgLnHLgtQfD0+Xa/PORzY2dfPq1Cu5AFdk9zrMt+Z/eNMrhLyYWu82fdj0kTOvdhtB29fRe57s/JIf2dffic14M+ufYvh16GOvuXnclHnVps913+LYv7OM+HptUnLlziuk/KP1/m7KUnD5/RY6nrnFO2bbREZh9Wbtf8Sstcz9uhXzo4e5SRr5elXW73ZZWGXnf2j4FJ14W59vS/fAMSm73BmEpbr6xwXcebe5c7e5OKA/asXmn3jgVbxfZ1zhvjNhwetMp13uiavI+z9w0MPVVntd2zXn/8zNnX9ot1Kfsa15+/aXv1JGZfkqnwzUhr7d6jzqxDzt6sYtvQe679VpJxOZI658/HM59tXWf3VlWmLHT2RG+OvR2z3u7PS66Lk8w5Nzb/9KXZBtd7s8LdIc4eXDZZmP9Gux/ZkfK7s5efXdYjzibXz+1W/7bJzT6qRtdoL1z7UI+vD5w9rNv8OAc2u+6TEcNqp3DOXWEnfKZvsXvp7TkvOPulpx+Sh2y1+/pHv8qkNPvl7InSl9xm9+SNHh1y9mI3i2bz3W73hr1fFkpl9gd3W+b95Nozjoqzy9nbFRxf6NQOuwfere+X2uxzPm4psXCn63N37NRWZ0/+52a5Hrtcn+vpDfKkca5L/T9VK+12XcdF3tuc/UK0lHXT7nE9J/N980tr9lJRSjYJc+21Vmu3sy+q2qLllb2u82GF3AHpzN7zyYj2q/fZPVaHyUecvf7+ld0G7bd7uqBk5dI7z9u7J/vWOWD3Nv1uXnL2zoVfDMl+0O7zYhyul8E5792LNCbSIbsPbn73ibOH7U4z+Z5rv3MlQ8eMZr93udisrYddf/6GlWHOvjdVo4Vjjrg+v2Uajs5kds+VvVY0O2p3//dlEmU2e8ImU9f7H7P732+tVzl7rcD122Ifd70XNh0tkMXsPo1O7H1+3P1zqHvO2TfODz2y/4Td7w/O2DSr2UMifz897aTrrxvg983Zp02LebndKdfv/zRwbDaztymd+laJ03af/ClamuzO+Sdh/geJz9g94YRre53dM2KF5x9de7bEj2rlMHv2mI3fnTzrOg88zfnJ2a9k6fR1wTm7pyhxfHxOs8dvOjis+3nX533owiy5zO61YrJHpQt27/370Blnv/97UbS0F+1+9WfmdrnNPqnBxjhhrr3SpdCYeczud3yfz5VLdl975f5GZ7+c93Ty1ZftvrFappp5zd5i5bV0g664zmMLj/xy9leJH2Stc9X1+2OuXeTnnLdHv8yT/Zrdc7x9Ujaf2cd//lgw0nXX+3dih8/OPrj6z+L3XHtYYMX5+c0ee4XKbb1h97OtBpTzd97Xrz2rjrlp9wnFIv9w9iZJotZpdsv1/kr7bHkBsx/LF6Ox/227/wpKWrug2aMViNUi9h3X+bb6+iiFnPdmcq+Q5669fLHZe5w997NYXfffdV3fQY86FDb7yFEx+0y7Z/dJQSPTBph9bqTog9vdt3vuwuPuOnuiepFHlQh1PZ8bfJpaxOwLBkaYmPiB3Yt776pU1Oynu4dN/+jac+58FLWY2bP6f5138qHreT6j43Fnr3P0zdIFj+y+3DNoaHHn+sZ/vKb7Y9f1qrq/RAnnvZz+5uaKT+xe6uJAz5JmX//9zK40T13vu8trjzv738H7D/527YlWlRhdynluH9tw4vIzu99eXrqy87/3DN2z4Pyq565zadId3mXMPqDp+GsDX7jOUQ2n33P2o1v63K390u6jdz9dHmj2petbPs72yvW5G7a8U1nnc1qp2quIr+1e0Ot24XJmbzih4Me7rn376kHRy5t9R0jqH1ve2L3sqvm3nX3z06ga89b1+xvkWlPBeS9/fhex2Tu770sQ0K+i2YtMuRzD/73rvZPxSJVKZk92aGu82B9c596nh9NWNnuuXtMSP3ftv+YFhDn7pB1dU+7/aPfPS/JdrWL2wJ7VMkz75LoPy25YV9X5vnZky97us90Phy4fWc15v3SM6lfii+u67EoeXN05Zy58VCjxV7vHSe9boobZlxXfXeKja2/TZ3aqmmZ/Um1iuZPf7P408gKPWmbPey6o6oLvrvszWaZnzt59Xb463X/YvVjswqdrm73P+yiNK/60+9LstzbUcZ5jE24Gp/nlev+e14y6Zv81Ynm73659SuHNA+o5+7XOXS7/tvuCCx9b1zf7ia6Fe68Ks3vs6wdqNnCeG00iDRr4x3UOWZy0REPnfptybkTtv3ZPNiJGrkZm3x5tyvhsemDvn2vjUjU2e8VDtaZFDGf3vfcXx29i9pubfebede3NvlaI0tQ5X92+uXhLeLu/bjPuj7N/yDNj1egIdveZFPylmfPz2Vt9Y1MPu6/cdf1Nc+f7bRdrR35Pu9f3e/QsyOx3ip3Y5xXR7h/rjHoU7Dw//foffebaM3Y5F9rC7JVK5z6zL5Ldj1zfcL+l875r9+zS1Mh2738tZ2gr5xy+dMbNtlHs7nuoxsPWzvPnZenQ4lHtXvt1oqdtzB6Q78vTRNHs/mnZ4FdtzV5w5II3H1z7muITP7Zzzs83Aj+fiG73YvFK/gpxzocpP/ycH8Pu3Vsv8Oxg9lRNpoXrHtPuEWcsid3R7NfH549cMZbdN7ytmqyTcx1X3oqZxsvuuQ+sydrZ7GdW9oz/27VXarg5oIvZE4z29r0c2+6HErWs2tXsk8tsTLkqjt3Llz4T3M3s2e4GZhgY13W98jzo093s14qHZqsdz+6z/FZM6WH21t275M0W3+535qVc19PshztFLBTR2+7Z9lY52ct5/mSfVvyua6/0OO/T3s65Yk2qslsS2P130GWPvs458P66yqMT2v3z5PRp+pn91FG/Wk197P51v1/p/mZfXmdfg/yJXPdzgfBtBph919Rizb0S2z1anZETBjrP2y5HWj9z7XNands+yHn+vy/ecZ+v3bPsvxQ62Oz1PA92n5rE7n1XT4821LlP1hTo1zap3QMHJM03zOyZQzcPKZ7M7pXHtwwebvZZszOMTpTc7hUzdp82wuzfb8yZ+MG1h19c7sRIs6+bFGPGiRR2T1/u2a9Rznv2cO9581PavV+XcjnGONe3+bMl3VLZ/WCHni3HOuecjpVXV0ht9/UTOy0cZ/bbj7ZtTJ3G7h4Z8t0Z73z92xLt+OXa+444nXCi2Sc87L3vUlq73wiXtdYk5/nf7NaRlensfvFp4+mTnedqzrynB6S3e5qRQTenOO+pwPEXa2Ww+wT/Qkmmmf3k4ifXs2a0+4XyL5pON3sX//z3PDPZfWHsNqtmmH1npFGP77j2/bcOf5rp/Bw8b7zcnNnuz398Ljzb7O+zpPowKovdrx74O3qO8/nq1eZbk6x2Lznwya25ztfzZENYvmyu58CY5Znmm/1Hy08RvLK7Phd5SvdbYHbvPzmjPnPtP84cvbTQeX7Oa++1L4fdTyxJnWGx2ZOWXOk9Nafdj8YMGrjEee+8vO/bNpfrOVN/xO2lZp8+Im6q4rnt7hc63m+52VP6lMiQKI/dU73qM3WFc86Z2jHbB9ee8XzlLyud59632XlO5LV75HvRzX80Cw34k+9wgfl+rudVq0271jjnlqrPinbL53r+HC6WfJ3zfi8cuUyF/K7vt+D+4eud89iXNBVT+9t9YPoMHzaY/XnHItV/ufZh1wfW3+Tcb2tq1b1UwO6HZ586udnsr+e2abyyoOs5cMwj/1azdyjSJ3hAIbtfWpVj1Tazfxkzsm2twnZPMLNqkh1m39hncqesAa73wqOWk3aa/WzkWT08i7iek7e7Rtlt9rYZ5/a749pnX+41aI9zrrg1Z8jmoq7r5dszbK/Zx8SZOWpUMbt/j9yp136zpzg9cUKT4nZ//yL4xwGzB4UNm5avhN2bx67T65BzLlrUY06sknaPdTEw7LDzedkUvOipa1/dy3/QUefnn67Kir2lXH9+o8xRjjvX/Yffuiml7T7jUvJJJ8x+N0XiLW3K2L1eap8kp8x+f8bPncUC3e8771Wnzd6x1rX9PmVd7/c1ifKfNXvxmuuOvnftQ4amPXXOuX/GDjp9vJzd3w0p0OCC85z8VvXivPJ2j/O77seLZp8zKtn1rhXsvqTgsJGXzT6vyPM75SvavcGMfSmvmv147LUPU1Vy/Zwbe+675jyXvrZ7/tO1Z3xer94Nszd/lvHtxcp2X9v/8M+bZl9159GnFVVcn6OehebcNvveczN+9K9q9wFpTwfcNfvLrYF/a1Zzvd9vtntyz+y9R331yFrd7jkepR0bavY1JeZH9azher9P+5b3odk33Cnudce1dy/+4OEjs28q+zj+5pp2L1ToyYQnZj8/bEDiUbXsHvOqR9Fnzjl8ZMIUTWrbfUH9op+em31t4Jq0+erYfVWaOctfmr3XgQKZY9W1+6OB3g1fm73fk2M5nrr2cIc3er913qcbKvjtrWf3Xf7tL74z+y2fCwWn1Hfd//6Vx30w+9uEFYu1aWD36/FqVvhk9i1Lj5cu1tDuyxINivnFOS9tL1jBp5Hr+Tz36sWvZm9aem3V96696vsq07+bfVs5n9rHG7s+j82+N/zpnPf2DGgwr4nduwWeSv/b7HMnPmratanr+fzpxOcwszc6VLRl+WZ23735y6G/Zm9Wana7VM3tPu52lcnhwoUGpI//vtNP135iz72gCGZPmbZIj4tBdk+ycq6/p9l3dRjdd0Ww6z75OD52JLNXen1xUP8Wdn/1YtvLyGb3mxB3RM2Wdj/7IO6xqGbfXa3y2CytXF9/phWLo5s9cdYRkzxa2z2ST9fBMc0+xnv39Nuu/cSv3kFeZvf3eDFnUxvXezbNvsA4Zi/1NvaikW1dn8fnBbPHM/ux03mWN27nOodM/ZHQ2+xHJldf4xdi97j9vkRIaPZihUI2xmxv92+fc3zwMXve/YO2PXHtTcttCE1s9tFek3bv6eD6XFzueCmJ2VOnn3Ngcke7T73b/Vgys1/9veBo606u88yew3tSmL3t0AWninZ2fV4O1dyayuwrd8w6n7CL6/oG5NyQxvk6x46/8s61vxpWa206sz/60e/msa6u99SL42symD3Ll5b35naze9adQ9ZlMvu2rhUedenuOoeUHr8pSzjn7xvJ/LxcD9f98/T5jmxmXxLq+SZlT9fz7dmkgznM/nf7zQ8/XPvUOePO5DL7kLfLv17oZXevWndv5jH7pF4dfi3vbffjLQe88DN7v6q51L+P3Vul6vkrfzjn7y9971Gzr92X3zgRq6DZo+9fHiVLP7tnv9UhbWGzJy9SJ6ZHf7tv7dkpoIjZvz7xiHvbtT+KfL5uMbOvWbYqwaYBdm97c3iPEmav3qOs78iBdv9bcN6MUmb/Uvlx8saD7F52aNzdZZz7Nm2PNH6D7f4rwov7Zc0e5Z1nxphDXO/lqMkjVTB71QVjsz5x7eVf7cxeybm+2WPl2jPUdQ7/tr1+FbOvmDLKb/Iwu7cYkHh0NbOXOfy3QOvhrufMjSe7a5j91saQIkVH2H1n5YTvajk/t5rXSyQcafcyBbakrmv2gUvzB75z7etf7Kpf3+znpk6tcGyU3WeuzTK9odn7+76qMne03TfdiHGlsdnjZ/Ov2WWM67m9p37cZmYPf3hQ3XJjXe+11YlrBJl909kjDVOOs3vol3IzWzh/fgk1++Hae759e7+V2ff55mlxYbzd5z31zNDW7FvKNWuzfILdw7JN6hJi9rnHRrXvN9HuRX2nHupg9mWDVneuMcnu8cNixe3sXN8uR7tnnmz31Kk9gruafdGkG70jTHGdHx512t3d7DsuPO5/y7XPH90gbi+z50v9cvDGqXZv1P5ouz5m9xn0fPiIaXb3DF19qp/Zi96/P7rRdLv7Z4uTcaDZJ2S/MD7vDLuvWPdj9GCzX2+9c3KMma7zw/pm74ea/e6g2dMfu/bLQ6rUGmH2uu26zd49y+6P+x05MMrsf5KWnT9ptuv3v9ubeazZ24zxXtxqjus+zBAwe7zzfa26vazIXLu/6RMYfZLZ37aduSrBPLu3LHiv/xSzxzhZad1b1950558v08weefOfjUfn231wyTUhM81eItmyrXMW2L1TzucvZps9SfhSOzsvtPuNi5tbzDP7w0r39pRdZPe6Xb2eLzD7ld8hB1Isdl2XkL+tF5s9U9i3w99de6VYg94vNbtXyZ7Hzy9xnVdXzuyxwrnuJz6eWrbUdc4fWzrCarN/6t38XN9lrr9uzLET1jqf92rnLlZfbvdsfdsk32D2O0WzX820wnV+y/R40yaz1y846kb4la5zVJvvpbeavVXeO7dvuvac41be3+5c91Rp729Y5TqvPvnec5fZ239v8XD4arvHPvzMe69zXZYvfNJwjd379Oi+bb/ZI6S9/DzPWru3rrWy9iHnuRT8+1X0dXbvv7Ff2BGzd6yf5N0j197wxvclx83+6leej7vW231lEp9Kp8I5/71TqS8TN7ju88uhv86Y/Z5Hxe8tN7rev2WrrD7vvKdqVPgVsMl1/rnSpsElsw/zLfHHe7PdLxzOEeeq2XNWzBnurWs/3GrJyetm73I3gcfRLXZ/n+Do4Ftm77v3c8Q5W+3+I9nUInfN3vnBiSidt9m93+X4CnW+34JTopfdbveUQ8ocemj2QQdrxkqxw3XfDs46/InzfG7mFee7ay+R6mTF52a/Fv9gvPM7XeeQrT4+r8z+8VTLBMt22b3BqBRP35j9RtdIifrudp9DHmx9b/ZqUeb6Vt9j93al6o/45Jw3emRIlmmv67pcmNjgq/Ne3rImRfh9ruv7eHCeH865ZVPa1Ddde5Yrubx+m71xs+lpN+y3e+kPi978cT6/u/6kH37A7tXHXjobLrz5vKysn6nhQbt/+nF4g4fZ76XcmCXPIbsfGNFjWqTwznn7d7boh+1eZ/SHflHN3nhAoZyP3Hu17K1jmH13ma65dx1xfV8589b2MnuGoMV5Jx61e4ReHoFxzX73+PF8LY+53u+95xT0NvuPpg/9A467zp8j/+b0MfuM9J8Kep+w+5HPWTP7mv1Q1J+F37j2XzEzp09m9q6/vhY5ctL1/MnwPW1Ksy94/aLY7FOu6zVtSvo0Zk934VKJTqft/nF5+CzpzX5/+sZSgWfs3mRd8dyZzD4xz7Ayyc/a/d6v2oWzmv3LrMplv7n28A+Ll8vh/Hx2epU/d87uwZs86+U2+5DBxyosPW/3Rfvmt/Mze+iLjpX6XLB7hdpxB/ubvda9OFWqXXSdcy40mV3I7A2rrqya8ZLdK/cas62I2Zv55ake7rLdry+dcqW42Q/021bjhmvPuLT3l1JmP+aTpdb6K3a/f7KYT1mz7/gxo/awq3YfG/QqoILZT8b6WafBNbufPNmtVWWzJ6tQuV7u63bPUObp1Gpmv7podv1oN1zv95wFjtY0+7dwdxo8dO3Lb3b7Vsfsg+rFbrTzpt3fjp+VuYHZgxYUaDzhlt1XL1vevLHZhx2s26TFbbt3bD9/fjOzb18f0rTwHdd7s8Dgu8FmP1ive7P4d+0e1KB60tZmb7CtS/PXrn1nmnhN25k974bgoMP3XPfD08MrOpj9Vf4KwbPuu55j75t/7Gz2qCXSt+gYavcv074X7m72BPu/tSjzwO4eGQeM62X2obN3t0z20PXe+fU7tK/Z95zs3Oqra+/foEPegWaP45+89dlHdo++8Pa4IWa/fOdA6yWPXeeHBEVeDjd7gUU12vR+4jr/x51fZrTZe/a616bqU9d58smPlePMvrZGvbYZnrmeD/erxJxk9hepzrTVc7vXrLai61Sz57yavd11165Jf+7PMHvfOiPbrXvhOoe/qVFhjtk3L7jabuhL13th2/q9852/7qz4IfVfuT6nATFyLDZ7Pr/AkFyvXeeNW+2XL3Oeb8EdQqK+sfvB6zeSrzL7Y+/RIQ9ce8jIwLlrzV47/8yQHW/tHrHoYd+NZv+1Z1bI+Hd2j1e59PwtZq82cXxI8Hu7J498PfUOs19f2j2k0Ae7b9/Vee1us799UTUk3kfXfbIzaf79Zn9fPkXIK9e+osbN44fMnmnfw3aHPrnOtw+W1Dlm9puZp7eb+dnu2dcOenvS7OlHFG7X4YvdB0brMuys2fPvv9G29Fe7T6jQK8VFsyc5GNQ26Te7Pzkybf8V5/PY50mbL67d8/Cpxjecn8+DWm3OfHed52cm8Lxj9pF397Re/MPux2b2W3Pf7AGN47Xu9dP1uYsfrtYjs5eo3bBVlV+u51WDBR7PzF5ly6yW6X/b/euRBltfOtex2ckWf137rdn+rd6aPWm1l8HXwlw/h9z5kn80e5TOYUFr/7i+zvu1bn0xe6WN4YOG/HWdz9/Nmv7D7E1+/2hWTw/tfbUlfO0ws88v9qhpznB2zzpoQuJwEcxzoNO+JlHC2z14RcmHHma/13N041DX7tsz1ZrIZq9Zumyj7RHsfrlkpp7Rzf7mxM8G4zzsHqNxw0Avs29/Pad+kKfdS/vs841n9v0LstcrGNHuEQ6X+5TA7GGXttaJG8nuB9ZFPpvY7PU6Zq790rX/yvJ1ZTKzb2k1pebByHbPPSn+qFRmv7ryTfUZUez+PHPLdunM3itZvmrto9p9SqV31TKZvcqOzlVKRbP7jnJrCmUz+68mCyoliW73M50WZMxldo+o+yp8du2VvM8m8jP7u7lnyp2OYfc9w3PFLGD2rNHOBC6KafdxCa96BJg9ZcCe0j1j2T0g0eY/xcyeNN3ckpW97F7u3rlfpczeYkNI8XSx7Z5+W4bfZc2e/UT2on9ce/VPR/5WNPv8eo8KX41j9xLPFkasZvZTtYYVXBPX7p0eHfSq5VyvlT7+g+PZvWb+tEnrmb1h4bl+dePbvYX/hayNzL40fOw8ObztnijfwWLNnK/zUZeckRO4fv6Df9ZpYfY2Z09ku+/aS7Xv26WN2duujZ5lW0K7ryxXblJ7s8fpUCTjWB+7D2sdtLmz2b+Ha56ueSK7V0ly9np3s6+u1D11gcR277d18N/eZl9csleKOL52HzhkVMYBZq90oW3SF6797O2HtYeYPcqdiokPJHHd59HHjRph9mQ1kiecntTunq3G7h9j9jPpHsQLSWb3a0Uffptg9oAiE2OXTG73rc/H5ppq9qmjssf0TWH3eOsndppp9tsf90X95NqbPH27Za7ZvYIKRjqV0vX5Cl32c6Fz/5xdEWFhKrsPfbOr+DLnPvT2UI/Uds/fOPOEVWYvlbXi74pp7D5t5O/768z+5M+w72nS2j3S7sy5Npu9T5d1n3+79rCS+0ZuN/uqXkfeX05n99Demx7tdj6/v0+8XpXe7knWRS16wOyfn+5+PjCD3VNkPbHwiNn/ppr7uHZGu1er8NrzpNn7zm8bmi2T3ZM16NHurNn3lMh4J+L/Yeq+46n83z+Ay4wGkSJ7R1KIKBwjK5uMsopQZmYK2YkQMj+FyN5EiKiMlJBVGXFEVmVkltHv8v3j937/+3zcj/vc531f7+t63RyHMPL5Eqcv3eCb2/2fv2IuFN+h8gncqdalt/I4tg4WKTWD4MKWa533RZCHWPQcHwVXH3J8b3UCufvkrZxx8DdMH1ukTyK3V43lnga/S8r1mk4UeU8Pc+ZPcLdgy/opzPcPHuRbBDe8e7+6QQy7XyXBhSs7/XMlqyJBHPl/GXYSf8Gn6guLHU8hryB/82YbfKwlPU9JAuvngvEGZOSw7zYCnh6RRO5xeXSKCnxNVSdtEfNvG1n+e8E3E2hS2k4j/6o5eeQAeE9XxcN0KeRNWVm1jOAto6rRXtLIVy+MmR4Bpyt7d0/rDFb/Jam7OMCHhaSCec8if002VMADrnzmod8G5oez/zM+Cn6hbfBmjwxy8YmvVMfBSRv3u+XLIveiz6kTBT+9+4RjgBx2fwOX3STBP0SdtTUmIB8OfH/8LHiY9KnLIvLIq20EfxLAuVaYLlEoIBe4Q19yDlymYMZgGPNQ1jB3dXA3xRytZ4rIhePuyWiDK+Vqq0YoYfVzkonaAFzgzTf5K+ewPqB2esAY3N/X6oyUMnI14akiM/DUxg5xWhXkwcKCIVd21t+D9/gk5g3/bVvYgvOH2vK/VEWu3XZN1gGcOPCQI14NeRjldY4bO+tpVsTkoI68MYeEwhP8/nLpAcXz2Nz5e3LuFrhtZBoNswZyP/2NwTvg7nu9yRYwzyW50h4M7mMus9mqieUHI+vGe+BS134sp2ohP55FVh0FbsgY+stDG1tPGaWKOPDrWtSTGjpYPnHhKU8C31q/OcKti9X/g+xnj8FDSbo//cG8++f72oyd69c82PVRD3nqQHxTDvhKs8LbXH3kIznk3YXgXvoXG+8YIJ/IZvlWBn7466VqwwvI/woMrVbt7CNNlVJhQ+TX75yjrQMXi2DJJTNC7v/X5Ngr8GrfwbRBzIN/MWu0gN/aG5xYbozln7x7zu/B9bkYo++ZYOfxy0noAt/7NCbU8iLWt196vOoDv3JrxVfyEvL0muW5AfDV+0oe+0yRP3gtwDUKbvXmtsME5qyCtMYT4ILkj6zqzJBHyBfFzIA3SmVdjDPH+vNFks65nfVXTdS9boF5817aZfD3h11V5S2Rt/f0GPwB74g5JXf4MpYrPhk83gavTyGemsNcgjN2moyCSChj9jzWcgXrb7sipajBq9YWuR5bYXXSrhy5H/zNEWMmd2vk6l2N4wzgDdez9p+/itzMYkOOGdyvfYCcywbrh+/+pLKDN/Gv/V3DnMa6noQXXN5qc6HTFjm7zzk7QfDEqzOT2XZYjrJ+2C0CrnewYdj3GvKfjgWEU+C/jG/3GFzHctRMRLk0eD8je5uQPXIWQUkBArjVqfyXuxzwflX85Bz4YArLsy+Ye0r/ZjsPfkPYM6/UEblcEUW6Dvj5nqrUu05YPxSY4TEEv+n6Nc7cGTnjVmrRJfCV+R9hp1yQx/jxSV8GfyY+5rvnBnKTvwHvbCh2Pqf30vUb5lnN5eYO4Ocy/W1rXTE/XrtyAzwl+ahpjBvy+3eTY73Aj/2o1rFzx+qQU0/UFzza//g5OQ9sv2tO9AWCK50Nl2L0xPK2mYFvGHgNWbvwT8yXnqQLRIGrNfzmbPJCfszh/ac4cIIuCeN/N5Fb7+0PTwbvTVva7eqNvK3/lXwauNCDD5uqt7C8yvRg4ym4CeX9BfbbyFv5FF7kg5vPiEysYF6p/cW3FPwoW83nDz7Ib04YKlWBJ9zlb3/qi/y0VN2+OnBnmtsNt/2w3PWIevgVuGNURbneHWwuWCiWtIKLLndlHfVHvthjG/IBXJ+nJ+kf5oLnvS16wLX/1UR8CsDqkNFb5gt4vGOIX3Eg8h8hduwjO/tI59SNkCDktbOq5BPghpFtVqbBWM5POjI3s3N+KgVDsRDkA8PEoXnwB1mpqtShyB32PO5YAedXG5EmYn7HQ6tpA5zhE6lw9V1svlxfrd9FSSQoiu1hjw5DnnQm+QUVeIT8Gq3NPeSD0qfq94E/m2jdJROOnLam/TUDuDPp7SX6COR6lJfbmcEt/ei+z2D+wvP3Fw5weumIT6/uY/VjHDLLB76LeeptUiTmm4dIhMETSQRqnaOwPFlVyCwGLtCrXqAcjdVPn9JpKfAVd51HrA+w/FxANJEDP9F6OnIJ8wdhwXfO7RxfROr3PgZ55MvjeefBtfaUOWXEIjdPJfbrgp9sJlh4xyE/6J1KZQwe9KJcW+chluvSbGTNwQ90UxD447H+Y3XmpjV42uzZE1uYyx5kq7oO3jNjwNGXgPwoBe2aC/i5ci3awkTkSncPyHqB+/AI/gtMQp4yzRfmC/6de3LOJBnbF35a/UHg32JDRk6kIOdPCBcIB3+pT95J+R9yl8Ahvwfgxao2L79izvrw3JcE8E/6uUWVj5CLsrRKPgbXNHr/6P5j5DX2V1IywWlOdUZYpWJ5r+cwST74346KW9JpWJ/JmrUvBV+j8L5Gl46c8+TQQBX465dsxlOYJ76d1awH3/P5qXLDE+RRdUea34C7itOcSsjA8oC5I+EduF+lLrdjJnLyLWJDF3j22Zt0Sk+RB/68pfhppx4K/LaZs7C85yv1fnjnesasfy5gvrzFZjQOrtAkOPg2G/n462OTM+C/T3S9TctBrshsfXsBfHb3hSrPXOT7DVvo18AFT9RkauZhddJqULoFnhq88YAnH+u3L2l1yamIBM4pNr+/mOdE/l2mAb95hsO+uwDLG8GMaQfADS3+GeUVYrlx+YoGE7iJeIOSfxFWzyJjm+zge/8zPWlUjNwrJL6CD3za7TPr8RLk8ip+jsLg2mmi1OSlyOlaHguJg0dvXl8ZxLxPb/mnNPiEU8BYeRny27Khz+R3rr/Ho+NeOfLfX3TvqIKb0ajWWlYg5/M00dIGj1tZzZJ8hnyXdSqnITiFR0jMvkqszpc4103Bo2zmfSYwv3RzotcKfD7/tF1dFZbnCTPProMPcprrxz1HTkg9mXwD/Ee+pez1aqzexuoCboLn8RKOytcgnzSNdLoDfvfGBv3hWuQNFk8tQsGnHOO3fmHudob0QiQ4/R/q6eYXWA4nFGg9BFdcNu15VIfVYeNjjf/A/5ONqHerx3L1niGtDHD+yvgc9ZfIndxtL+TtrL+kTwxnA/I4NXnLUvDaLNnba5i3D113fg5+a3jIurMR+arfROBLcGK9oVb2K2wO+penNIOn8BZK+r5GHirWU9UOLvV7iMPgDdbHJlU/9YArkE/vFmpC/u8nw8YAOIt01yJJM7bfE0/zjoHzusQOfsb80KlKvWnwRyEiTSUtyJ0P3Q+eB68wzikMbcVycvTL2lXw4Nb1h2ZvsRz1U3N5C/xgKZ+veBvWB4LOiFPsJhKM54Wv0rxDLvUkzGsv+FGb/ZpjmPckSjQwgOvNvROveY/lyWplGhbw0GuWLA/akXfo1V7iBrcq7yS1/YC8qTq2VBDcM+fwrEwHtk+lP+4WBRfnO9PN0InlvaNetlLgWzSSNbOYL/SFtBHA2ST2pL/uQl78YEtEFbwroDY0+SPysPyxFO2d87fLO7p0I1d2F6M2AjdZfKKv0oPlWNlFX3NwqY8DUmy9yO0ucqxcBa8694N9GXPNww2ujuBPjvWTt/chp2/r/O0O/uxK0mxGPzZP6/W9fcDjm0Q/en/C5pGyBmkweP/xrCqdz1j9VNTGRIAv+M79x/8F+X9G6Txx4JpRdAFbmL8I2HqRAn72LI1N3wByhqB+o4zdO7+/HlIvHERuVnh0LQ+8hBgsEjSE/LzW+qMycKcYMoaLw9h9qVFWrtm983mJS2snviIfkqVfagT/vhI2RDmCfOy4ZfZbcDPryMavmOsMHDfrAtd3s3taOYq8N8b/8Gdw122msPtE5MzZhp9HwDXGn9hbjSH/YFv+aBLccnNbS/oblg/546/OgTPyiYvSjSPnlvgnugreJCV7cApzxvElsm3wLHq2tZcTmAe6D1JQQw6J6hmI/47NL0v/qn3gMaHm9Q6T2L7rYkpgBC/pe5mmOIW9Ly6FW2zgXEZLAczTWB/L+XOFD7xxYstqAXP5EiWd4+DKpl/PvZ1BPhPOqSABfjE+lj9tFuvbEbGnd75fMtb+yG7PH8hP/UsSUwa/VnNzRuMn8j1nJMS0ds5vkv+e+xdy3vv2kobgPrylhX8wP6wkTTDfOX7tXuTHOeQ+FZmaNuDtBZJOufNYnxfMs3ACZ2Ou0bqzgM2RP+c9PcElWfeJGC5i+8U9MsYPfCNKYr/wb+R/vzuVhYLLqInOkS4hP/50oS8KvJKXpHMAc+kNxu0EcMqtjOKyZeSFcqPH0sBfFxyKCltBvq9ByyIH3IzKwtFiFev/76wSSsDP/rypIbGG1VsFR/dz8AKxq0J715FLvgs90Ag+9oybehzzcvNEo7fg/9SeTdX+Qf7qlf6TLnDadsbWmL/IpxTr5z6DUzGcz7LbwHLRqT4FInjrH50guU3kdyYfpUyDHzQRuMy4hfxn3sHVBfBMyo+yPzF3+UAw/gN+YESdpWkbeVAG+8tdNETC+PP49ZR/yJ94VwjQgEdeL+u/QTKO6jNzM5Ee/Grn4wrVXciHnbdpWMDLXl58wE6KfFKkNpgHPJV2ymEF889iIruEwc89Pqf2gQw5R7tF8CmanXzrxvuUHPlJNU0aWfCiFheS2xTIff6uJSiDi9DLDutSIncWs+bXBp9eH6gWoELuJf+gzgg8RE/l4Tbm/zz8DC3B45YCnft3I3fjPLFsB/7geaR6ETVy6YfZSTfAR1xteYNpkL9g+0a4Bd61uf/fxT3ITekmfwaCp4jcHTi5F3lgXUVaBLjlSPszqn3Io1zUDR+CC42PRo1gTvQtpHsMvsDwxq5qP7b+4oMfs8CjVd0UImkxn/iUUAzefmHhiDUdcjlipuVz8Iv0MsvSB5CbeRFEGsG7jQw76OiRx6wV72oDr14/mzOFuXjl/MBH8Jud83caGJAnb1JUD4DbltwwTjiI/DDX7+Rv4C3ODSccGZGTuFX573zvbf33L1RKh5DnEvQclsHNZhpHmQ9j1znYaroFnqnjXr2AuWPcYT3KPUSCy9zv6LdMyHlqzmnQgsc9krNNY0be9UjnPBP4G2EjWc8jyGuipLW5wB/dlD6oyYKcb4TMWAg8X296lpsVucXX0qvi4GYxVq//YJ47JHdTBnw/dV7SRzbkSoIV0crgFLE1TrnsyD0O7SnUBrffeqh0hwP5raXzH4zBDXnOMBtyIo+jc/99Gbz5c8HcMS7kGy9D2OzB0+a/N5FyI/+lEajlDl5O+JE8gHkWjX2QL3jd4xdOZTzIjc7L14eCXxwyUAzjRX7GlGIjGpz54/NDFnzIg6NeyCXv2fk7/fHZU/zIbUSvhGWAlx4faNgjgJwu6W9fAbgAITnuG+ZV++8JVIKTmXDa1h5FHjBN4/8S3FjTVTpGEPljj5ChVnDehYi9dkLIT5OtynwE1z3sNCp7DOsDE5efDoAXJxyuOCiMnf9a6/5x8N9yESE/MPcdFfD/Cf56stnozXFsn6bcXV4Bz7789miKCPK+yXHnf+B0AbF/XU4gdz2sMLd7L9QJE88HlZPIg3zS3ejBOzd9UtlEsXqzJtlkAY8heey8jLkbu00EH3j1ahChXQx5yFYn2wlw+YqTdJni2PG6hOdS4Acos4nep5Dr21UbKIKvNo+W6Uggl4yTWtUAz35NDOCXRC7K1ZxquHfn78JydbcwN7hqet4S/E3DKc6+08gLC/9tXAPnvxo2XyCFXFm1osINXDY2vSFQGrlwmIezL7gqk1+UyRnkdnWqJ+6CO7ZzmJ04i/WNU8dXHoC/8A0TopRBvinP/2rne7EFt5+tD2NuLnYq5il4Cld26zNZ5PwmJjbF4N01l+Ij5LD6J40nVIMHJ/RduUJA/jNgmv01uFI4/QkpeeQTPMZk7eAPbQ5u7ldALnV27Gcf+PDGQNt3zMcO3RsaAXdgs06oV0TeT6nVNQ1+61HplYdKyGlMRdt+gwuoNh63P4fdX2vJ1k1w38XYP/LKyLddzN9R7iMSbBwEWg6rIE/7mNtNB14X6h8zhzmh/9DoEXDZA/+Ztqgi/9BRuMgLHjfixf9YDZvLNNeoT4CrNzAuuqkj1xvU5JcG/xLgVad+HjljtKmaEnjqanIopwbyK54JLlrgX+d9ddYwP0TceGQM3irDzdypiZyBPabjCrhL8b1vWVrYOvsbkDuC9x4oK/TRxs5voCrvBf5JOtlDXwerq1nHwABw5RV5WUFdbF7Et7yNAO9jKKAg0UPu8ESfIQGc1aa34xPmBy0Zr6aDZ9bUJxTrI5/noH2RD9711cY8xAB5p5gCYyX48tNOXtMLyO9MFXk2gGsMrv4QNUTeEWUw1Aa+pDNSsdsI2++ekiq9O+fpDbk1irnznNHzr+AEiVnCc2PkWmrPj02DFyjup4wyQT7bY5jze9/O58kX2q0vIqcckeTf2qmTx7GxZy4hv1x7qZBqP9T53QWjA6bY3Kx8I0EP/stoH+s05u85brSwgvMNTxEbzJDrnr96SQDcZ8I/O8EcOVnIk2VRcBa5/uuOFliuYOWPlwGnr546rmSJvNV6VWrne+1N2aoXmS8jl8mnH9cD75FTqlrAvFjGN84MXHbmvvfbK8ibnU6p2oGrz8acTbNCfiJSZpcbeCSt/raHNXY9UwmvfMF9+bteaVxFntOlEBoGHrBJFcxtg+3Hhwo6ceAjFpvn/mCuEpLIngreeqSI8qMtcvYFhaVccJ2tQ205dthcEFDuqAD37JUJ97uG/I93RtFLcDZ7tvMXriOXkDCJbQNnjK6hOWaP9Y1Ce59e8D1797fvckCuemzQfgT8vzK2+18wVyPPs5wBl1ebOl/qiPWlu/0Xl8GvptvT3HVCfoTk6sV/4IZBue/MnJFTv7lgQUML/fNl6j1xF2yfsuRfYwTXZNVSpbmBvMTUypsT/IZDFcUY5l49gVHHwBO8PjVVuyKX79qdJwkeQV0WGO2G5diM9bcK4BQLCgQbd6xvJ+v/0gR/snJ/86wH8gZyJiYT8JHvUbX0nsj/O3VezRpcIFLVawbzxZuzfs7gbc9qxF55YXmb/W/NLfANgbG5xJvIV7xu/wkB//LsVYGTN/LIbkdCDLgVt7HtuVtYfvDriXgEHiSXxcVyGznT+6KhHHCq3tzhRcxnKbdEK8BzC64ktfkgvxDcHPUSfPNBt166L/JX0eTzbeDhWmt7vPywdfNuMOwDf17c06J5B5vXMUuvR8E/3rb25/FHvsybLf4DnNY/X+ov5up3+wpWwe+HZC1+DEB+lyxYgJQO+rDhhYLcQORUP8vz94Hz19VY3QlCzvvASpQZ/K9/9xHDYOSnZBIbeME9ndJ6joUgj1DU1jsJflKLI4I0FLn34v2Zs+D50wYKA5jrJOuGqYKrU8usl95FbnI3VcgA/KL355K7Ydgcp/HotQDf+4/PxvweNh89+wPtwb1tBVhOhWO58WCThBf445tDH2kikEtLyc0H7px/Q+HuGOY3T6iVRIHffnHpbM19rP+rf3NLAS/141uIjkSe2r9PNhs8Yl9mlk0U8i3uD3vLwcPEPprIRCMfDGD/Vg++u6p0L8MD5PZylC/bwPXN5V/NYD5SEJLaR/e/52X3VzHIrzM+CiaCfyZ48CfFYnmy47zLT3AWmsMDTnFY/+FKuLwOfuaI/f1zD7F+eMXHmPwAkbB+2kmWJR7556FtAzrwTSHO+UXM1YmcRqzgfS+CnrQlYPX88pv5UfDlkni99ETkF5uUHU6BV3caknolIReT17gjD2481lKhmYzcOng5UXPndYsnrHhSkFMMK1aZgJdulNP/xfx4yumBq+DmscfffPwP+S/qPlJX8K8Sxq65j7Cc6ccs5gc+VSrCeecxck9FartwcNbWZ50XUpEb5mVlJID/k5v0PZaG/N/Wz7EM8A1iixBpOvJbceMCJeCWbvpfvmDeWhnu/gL8cu390NInyCefEZtbwQ/7uordzUD+ZWSGpRc8OIBs1CwTeUpIjvcoeHikwn3xp8i5lg8P/QBfsjl2miYLuY0vQWkd3Lnn1Tci5uaO7OXk9PC8k7Qrujob+Rr9c94D9Dt95pdUdA5y7kaqNDbwSIWQ8au5WF5tPMgmBE5d3hJ1Ng/5V+uRDElwp+jy0/T5yGX/2ggrgb9NUx2bxvxjd1G9DjhVblhEYwG2H6Ur9c123NFVPLEQ+YEAv7lr4IEV5MOORch9l6ljPMEPERRClIqxvvr90ukgcO1P/MJHSrD5nuk6EQ0eK1PVu4D5/ls6SY/AxSR/3n5bipyjdkUnD9w6rJ0rrQw7T7nN/ipw2WX9No9y5D9Ln/S8Bm+UD3LWqMDmJnne407wjpMXD3I/w+ph09dxCFzk3ufadcwzpzkVp8GjaLYsuiqRnz6UwLYC7ufzjiynCttHfYPbuxiIBPc0mTzf51j/dF36vh+8TdJI06AauaMssYcF/CXVoQXBGixnhma2HAX36vN5SFKLrXPK2QYJ8HXLMMnPmNu+LapXBBd3khoofoGc32LtlQ74WkO0T0gddnwRa7sZ+J/DEWym9ci7SdiHroP3nxFqFH2J5Z+CzQUv8N2zzpd3NyCvWq3dGwK+MmW8axRzNwljkVjwidWJjKpG5MTKfsM0cLIBRsXIV1jObJIMLgS31J0ds3qN9asyn+c14HPsVoHSb5ArvsuebwEPp/TjpGtCbmb+XKR35/i2M42TmO+vK3EngjcIPDJ/2YzlopMxDb/A/SZSNx62YH1+nxntBnjiK8UU+1Zsv6cz2O4+SCRc8guXVHiLPO5UzRtG8LUh197DbcjPsmrw8YCHpG64zGH+OKsj6iT4vyD+vS3vkIuwKmzKgitp/c599B67nu6cGxrgB19aKLm1Y3menuSHCTjzQ4cRtQ/Iy0S0HWzBRx4w3eLowF7XPW7RHbzL3YZhFfOVE51+geCK//SKP3Qi56kgpXsA7vD7q8rTLuTRaqJ5j8Ht9lETb33E+qSCqUoBuDhdr7duN/KsH4Gz1eAVL84eEOhBvi8hJ74FvOCDYv4W5iKR78/1gr+lmJbv60VuyTH/lwgez3fsS0EflsceM1bPgYf+2OMS2I+cYEC4tXlw5+8OIihMPmH5JMZJgYYRngvssh+JfEYu9DSDlgl89T9zUYovyC8PDI/zgVe4VrQOYe4WyNkgDs5T8NS0YgB7vzNOaQrgtGSiC/cGsfx2uTVEB5z37KUQyyHs/OLHXM3BF+k4mCSHkVuUp1o7gE8p+hfu/Yrt36McZrfALR/clhvHvGCy7FIYeGwlXXftCLYvzlywTAB/fEPBOmYUebYrjf1T8IDAvSu2ROTlg323y8G5sl3vyo4hz2mqjG0EV025cfjgN8xvF5Z0gKexUOfNYt6r9aJ7CLxy5ozU63Hk5+9/+zsDvvmKoi1pApt3gXxC6+DvLa4bO39H7uUXYkl5CHJLgM3kuUksJ3SSPDoI3vjtjwfLFPa6rx8Nc4OTKvGT/cZ8I9uIV3THLWZj2qaxud8m5kYAD1lQZk+fQe7sLdqqBS5aLVXoOYu8hfQCpxl4kvOb05o/kA9VPQqwB+fu/dbE/RN50Sj1lDc4f0aKzh/MxTvTDcLAB+MnB7t+IbfrsmhNAL9g/84mZw75GVE1QhZ47FeFBd95LA8rmDdUgLsU6Nw2WEDup52u9Bq8NPI3mdAi8qZs2q4u8DWCUBTJb2w9E0ovj4B3+q8yfsb8kEPA+k/wdCrjtOIlbG56BCdugFfHafCHLGNzk+TFGZrDRILKcG/xpRXknGZ835nALdPnT4muYu+rvzVBAHw9Ma2Oag3Lt7XpmpLgP/2ICiOY+xuXUyuDL++velu5juXqzc0PBuBl5Kxa9/9guWglONEK/AkzY8+Vv8gp41RtXcGP7n5iJLWBPIxdXSYAPCaifnD/JnLmmXCmBzv/V8/U3uI75j6EPRup4CHi+WN1W8itXDrHi8D3dnpfjdtGHtTa11MHfm3iy+S1f1hfiuNoew+ucfLdNQLJxP/7Ca6ypgFwLQf1WcZdyOlfhbVMg09oX3T4iflQfW7HGrhL/PqPN6TYeWwODFMyEQlCK/yOKWTIiyhbFxjBTwtN/HAhR/5rrnUPH3jCzxMOKhTIIx0Yj59i2vneJOpZVkrkbO8rLiiBt2y6XlvCXNTkSZA+OFW93eQ7KuTG1qPPr4D7/5i1frIbOZO06+IN8MdKG0QvauSb/MZiAeBlvsnmWjTIQ2/H3XoA/lP7zQDPHuQSgbxv08Dt3LwN/2J+995+lhJwpvQXHz/uRb74Vc/zJfhg5D2N3H3If3bO938Av7401uK3H/l03ozMMLhVRCvhAi1yg1r5gh/gytSStUJ0yJO0Vtk2wG8KnBTbdQA5y7M9yTTM8Jz4uLLgM+ZKp4OYjoA/Z2/iLqFH7iRgmi4Ivmxj+l8IA/KVj0nC0uBfj/odMD2Ir4P0KzVwefaj90QZkQeEKlwyAX+/abpNdQj50WPlf+3A9/kweYxgfqsxPOMm+G0d85nKw8gbHnzQDgO3PSlkcZ8JuczMbdIk8N19d3quMGPXw5xYnwPuvXBJReoI8llHDr/n4KVnG2r3syB/KMp0rhU8wiFP+Dvm1yoDD3wCb5FgTq9jRZ6maP79OzipLt2BODbkVoJFjSvgr12igq6xIx+vcnlCcQSeL87HLMlxIFeVyA9jBBdJYLrKyIm8YvmiJx+4OgV/3w/M1RSCr0uA1+nUKL3hQs59jf+qMriTYFdFMjdys+fnbAzBhVTtuVx4kNPcGnW0Ac8wD3+gzItcdmvttie4GZfwFgsfcvKYBw9CwTtU9O1/Y379Tm5BArhK0ManNn7kbowKH7LB18MElNIFkHNlmi9X7fieTyWeR5G7u25zt4LLvKE8oimI/OpHXpNP4CkWtSHcQth93NPzcBL8XfyvuXXM/9yg+rQKbsP01KTrGHJ/zVZ2KhYiYebxwOtsYez+/qB1Pgxe1h8j5Hsc+X//fW8SAP/j2RanL4J8PUeNUwr828mAv0dPYPfd/EywGrhDbfWVf5g/o6n/aQLu+ca5rf8k8qaNTrPr4M3bWSJFotj79fPovQW+wXkpPkgMu87hYt0I8PShqD8m4shTbHz7/gM/OEawOHEKeaPNmEUhePa4yxsKCeSPBUfm68BvJrDxD2O+uOUe9gE8IU8tvEISuc+JLL6vO+vWufDj3mnk8zQ33v8Cl33BqG0phZz06xfPbXA51upSCWnk1r9HBWhZiYRbOX10e89g+zrpLpED3JzG2fUb5i+YO9NPgkv/CequOYv8b3O1jQK4DC+D6AMZ5OyT58T0wW/KsMfYyCJ//c6Lwhp85PfTubNyWJ+p1x51B5dff6pJT0A+TNPZGAKuv8VWMI25167VnATw3IoDVI3yyHt/vo3PAa9uu2OdoICdn1k5vBq8b/5qo4Mi8h+9ziFt4BJfmo4oKiHPv6ZydwD8t+gjT6ZzyIV4O6JnwUmLZ7vmMJ/SJ0/bAJf7Uy7YooxcV+HXs71sRIJF60LQIxXkfWfDP7KBbzTlDLmqYnM8emBJBDwmo1dcTQ35h7ujbPLgN/ffvM+ujpzqxmNtPfDZ2phvy5jPJB64awVOZcAp3X4eO4+qfLM7eNs9vgcZGliddAlSh4LT0DyZuKmJ/Kt314VE8IjQB9LaWtj6xIrl5oJP5i9F8WpjucLmAkkt+H98H8b+Yn5MQfLye3DKXCaJbh1sf90YaB0Ctx3+EparizyOQDj1C3zIfe+gnx42l/9ey9sGt2Z5duyCPvKsOWMeOnY4PuCDr5AB8knbfdlc4JT6Jh0kF5CPlEYcFwcPkjFi+4x5OWN3/Tnwzl8tjsWGyO9MjOkbgWsw5NYFGyG/cq1h3g78zKU/1JeMkXv+snt4C7zWpd74pAny9sZR2fvg7SQLWZQXsX57TGD+Mbj2i4eLw5h7+xJyS8DJ1HNln11CTtwWtH0Ffv+iUHi4KfLi7aljPeB2yax9lmbYfXx7e30cfK3cj13SHJsXOePtK+A++lrX9logPzfJk0PFAX2M/375N8yv9MqEMYM3fZH8W2OJvKD2hMsxcJtDuooPLiOn+L5lLgveEPEp3OYKlgMz8gx0wO3H3n08a4Xc94yo7hXwXy2Ch+mtsX20mWzgDv50fMVsGvNcsTHzUPAP349nNlzFjhfc45IEfu9m92S8DXJmYaawfI7/fe+9kIMt8vd3qXPqwGNXLjor2CHnDSW2d4D7nZYrP3wNqyu3tPVRcLHKyKVfmL9/dE74N7joIWWJ5utYXtXosyXnhP5DZef1nz3ytx3aeYfATcV/P7/hgM1956qFo+BjipOrKo7Io7yp5c+CWxIVJdmckF+S0kzUAn9WReW5hLnSnztLluBJjqeevXNGPkb51NgNPKekbSHdBbueoto3IeAmfM3HvW5g+Vmy+VQSOOVtfntNV+y+zzcV54PPGs5nc7shr+V5cbwe/IgV+9g65qfY8yo7OXc+1/eMpcsdebLQA8UxcLbSYsNsD+SX4298XgL3Vdj3wMcT+WaOljslF8yL3O63el7Yvi4WOMQM/vXe338CN5E7L/9rPAaeFx12ehtzhtbPN+TAey57O/d5Ixd2LjuqB+6U+yGr4BZyRqn7U9bgjjQhgwG3kfO7XC/2An8smkZr7IO8zELzdjh4efORc8d9ke/Sl9B+DC7h8OcmmR+2v+L5BEvBkz5IFw5gftCVfc8bcL6Yoa+ld5CbiHMt94FTm4/Q3vXH8gn/iYkpcO1BBQWzAOQ3E9SH/u6sTwmFm1gg8pp214F93Ds/FxLM3B2E/MLB/BFO8K/rRd0jmLu9WJgVB/epe0BSFYxcnPr8tgr4K5dukfshWO7SeM50CXy+ztXsSijyPR2SZ5zAj6ncCD99F7nmlw9WAeA3Kz9U7QvD9lHNrbiH4BVFd8fGMX9ZI/cuB/xxX+reF/ewfMjDRvUCvLf7wOmYcKwOlQ9pdoD3q3+7bBuB3MnuWDIRfGNsf4TMfeQJ/eY/lsCDCEkV9JHIUwdLlKl4iIRAKp/BacydX3PkHgFfGKnd1RiF5bS+cloR8Bx7g6MJ0cj/Wdr6K4Ab6ahqOzzA8l6x3OoF8HjRBHeFGOSSu2U8roH3VMkkH45FTl5n+ceH53/fH1j/C/NyusLQB+DOEkmjTXHY3L/AwfwUnOqWOul/D7G81/Xy2XNw5nkD3hvxyOM7wwzfgzuefa6skoBc/dGd7a/ghbtu2LImIr8f8LRkEfzS94C7vzHf/W7NhoIX+lv4dHZbEnKbRl9eZvCguJzmtGTkqiXis8LglpkvvnmkINcgslXLg98y4yXR+A859ROZ+xfAi63HWbke4fs31vYa+ItLa1JrmG/+ZlX3BZeesLzQ8Ri5CsuYWAx4Viary9NUbB9tjPBkgetLHQ+/lYZ838hh1hpwb9XYTJ105AH7olg+gAu5qdXxPcHmbB+Bmwh+8ZJ+7wbmb31FTy6Df84ome3OwPadnrXybj4iQWfWbFdeJpbHHn+6wgqu3W92+M5T5O/yIkNPgsuRlwhfyMJy7Ku7ZefAbZl0FYSykXMfb/1mAj5XoWhIkoN8S1qT1Qn8s0fotU+Yk4keMQ8EJ/t32KcoF/ltM9HsBHDx338ig/Kw/UL5cDl/5/h5oTSTfOQ5t+Q1GnZeN6GgRKQAedu/M/k9O+83zLuBvBD5yfHg/VN8O3+PE98xiDmFM6vPBrjQ+62hsiLkDrMU87T8REK+aeXM3WLk/pkK9rzghdXVq2YlyC8SP/6UAh/1oyITL8Xqaq7SSwu8U+vpfuoy5GmM81RW4OOtEcyjmLNlBDzxAr967yVPVTnyiEF7+fvgXqJnj9+vwObXntKpdPAjV8gkrzxDTu+vnVgJLvacUe50JfJDd85rvgP37nJV3leFvF8/i3oEPFzjsOY45hKq5p2/wYfbKPRrn2P7ItvrPyoBIuHtdxnjB9XI9Z4vOrGC+8nXm9rUYP22uUtNFJz2ZrDl2VrkR4/QH1MBdxCIszrwArkZyYuDpuCX5qeuTmHO9rqN4gZ4uGOI7cs67Dw5hO0QcB8ZO7uH9chP/+HYTgGP33xgd/0ltn/JHChKwRnPb9sSGrD8Rsd9sBmc9U25DWMjciM7FaEB8KxdBdY/MD9lMKA6Bx6SPXn59SssX7ENO5IdJRI8ztuZJ71GbkGrm8IEThl17KLTG+TdbpIdx8ELqcUvKDVhuS42ZrcSeLGZnzZzM3K+SksNE3Apbhq1ecz38GUnOIEbrn6Rb2lBbnvcaioI/LvHjNSjVuSFh5Llk3fOL332pOtb5MpCahnF4KrEDn7VNqxuy92pm8BPkWewsr3D6mqV5dYX8Db5ygNLmNMoKC78ApcWpaJ89x75x6EpZzLBnd83pfxJa0f+nHb/ChP41xT7nx4fsH3E/zxIBPy96u2R8x3I914bO3wOfA9jWxdnJ3Z/2WMrL4LzPzZ4tYo5Q3yriQv4nZusZR+6kAfTBZOHguspcKdnfkR+6+vb6v/AGx5ejfLuRs58LtGtDPzF7vHb2j1Y3oiaP9UKzn4m1Y63F/kX0v7tIfD/XscZ/MWc75fqx0XwV1JNch/7sDmeoJ5PJUQkrEuJCOb0Ix8/NxTOBh5l2kvv+wm5+bltV3HwTOmKDb3PyKeHn11RBz/j+H5c4As2j4y3TCzBxSJZ2rcw39wcMvYEVxbLLu8dwHL1IT2L++A0a7ZJ+YPIw36aO2aAr7hd9vUfQq7TRhZUDW4kF3vZcBh59G+l9A7wi4vrSse+Ij9cydE8Dk7Fm8S/awR5pWHywh9wVWeH3Z8xF+Is5aU7BvPFznOmaBS5lJnNZX7wi3mV74KIyBP165/KgCu/PZpvMoZ8TaNqTh982bQ7TOQbcspYPYXr4IlbxTbk48iv28c98geXU2pQHMT8NeetrQTw3qZdHGUTyLM3Ke2KwLkOef8N/Y68QEX2yxvwdx85+00nkZuqsukNgGtFbJSITiEnqOZ1z4NTD1Ddo5pG/jl69CKlMDwXGChf/or5I9vmGVbw79HPTj+bwXLjIZNAcfA93Pr7w2eR35h+xHke3C2Tc8LiB5bneWLfXgZvzmavPfUT+X46aa+bwjvf66sRRfML+fJqvHC08M7/m8u9TMTcjDNnNgv8eZKo+PM55LF9TmV14Ld9Z8gj55EPm/7y6wE36ezsv7KA7YttPoMZcC7usezTi8jzyJlPkhyH55G9nJ77fiNPfv724GHwf1z3lcYx9zAT3yUCvmuN60DtEtYn5cxXzoG3ckx8jV7GcmmWyqIpuP3J7vyrK1jO+bSw7AY+Xj/tcWYV629s5iQR4FQXhQh0a1jeex3JkAEenJywexLz+t2BIjXg3/YLddetIx+SOavXBR6uM5Uc+we5VXa9zyR4/a8PlnZ/sXwYQVmyBZ7kO8gnu4HcXvzI9EERmHcPaH/QbyKvnV4XFAbfXeNQOo053e+n7krgvBFzbg1b2FxIYm25BL6YlCQRv41ckPMquxv4gLvt2vV/yO/2+fiHg7OXXaohkHz/f2ffvDr9BHxkxN2bcRfy0hHOizXgDHHlp39g/quprLsLPN6UYfUVKfKwJUb9KXDajuRniWTIBar0BrfBD3gr3HAkR+6ka2N/6ASRQDq3V1iRAvnSXn1SEXCeV38nD1Mi1xZjzlQGT/CnyfiF+Z7d9erm4Novz15qokJe1n/2jwc4H000fcpu5HXfUsoiwd+tkrx3pkae6/XZJQu8mSE+4BwN8okvK5L14P6LKpJH9iD/qrtK0Qcuxcn8Yx7zVb7B4R/gdCdp0lv2Io9Kz6wjO0kk/C1j1n+0D/kauV4mC/gHMVVy1/3IQ1MnY8TBxZXjqlRokfuWXQ3TAK+++deGlQ45Z+iHUGvwhov+jL8xL7TiiPQBv3ubs/ntAeQ6MRb/PQQXvP7VNZUe+RnD+2WF4I8rq9jdGZDHrOd0NoGX/ch7r3YQudvriuUhcNrU557sjMiXV0u5l8EJxiMcy5gfJaab7BUlEp7kcbx7dwj54ebgRF7wGxy3XdMPI2+eMRuWAW9W/8XkyYSdJ1lYyBD8fpV343lm7PoPLfs7gScssNhwHsHuY0Hl11Dwu/c+Ua9ivj/VRSkNfIwmr7idBXmCOH/5c3BSihjdDFbkelUD/F3gHOTRv73YkDNcv581Ba6VkPFQkx350wQZIRIxyJ/K78W5OZA3Bc5VM4GbZ1D1rmF+0iNTSxS8UOKiawcn8v+eXfyhDj4Q3bD/KRdW53cZY63AZaRPF3pzI2c89VnOB3z36zcq2jzIr5E+WX4IrlZxeYyHF7m8lGtFEfh4Mp3PH8yFWDW9W8CTSXoYuviw110WVRkBp/DMKsziR66/m5d1DTw1MEzxtgDyiFSev7TiREJF+e0vOkeRt/0VJR4V3/meBz8nPkHk3ra6nQrg/XkPdm1gvskf0HwJvC20LP6jEPKKoDdv3MFJKkb5c44h/9HI9C4S/EANa42PMLbveEM+Z4Nf57ZT0zuO/Mg6xVwDuK5Pw2d+EeRx/ul7v4DPaHLbbmKeuEtffBFcjCtuqfsEcqNmdiuaU3A9QfsCck8i/7OPKoUHnPLPwz1+osjTePd+kQHvouVL1BdDfln7BIcR+CudVxxHxbF+2O3q7ALOrGiTt4W521Jfyz3wZReGk72nkHf9vciXCa5i9f55ngRyy+OkUXXgAxnhMnckkR/s7tzsA79Yrfva4DTyoWOvPebAlY9xKAtKYesQPLhMJQH9LXT57Tbm3OysflzgJTof1fukkRsohO07C+5CV/E+/wzWP8XYci6AC+mmnPc/i/yj1KiKM3h6Yui7CzLYuiV3zoeBOzl4qQrJIj+U/PNJBjiNkUPzP8y/+565VAfe9tVavl8O+bPIWpZ+8J5wy7oCAnK2fQ7f58CPjZlLBMhjc0RJt3q3JJHwzN6ixFABOYuXfSw3OFcxxF9F5C0zL9xlwClPXE0lUUIuNaFoYQTe5XWN4RPmPwrI9G6AN9I43Ss8h9334G2NCPC1G66bAcrYPqo4pZMF7nzC08VIBbvOO7mXGsBX2m+OHVNF7i9s4vwF/MwHb/1dasitd6lF/N553aqbbz5hXqboXbL3NOTYfR6iRerIcyRmB/nBv110Sg88j/wORzqtAngbu/VeYw3kdsrJmqbgwWMXvIU1sfn481OsJ/gnfsXxXVpYf75kNvoA/LK7kNZnzEl7BSUKwJM09j0v0sbm42P5h83gH8Rn2YJ0kAdvZPwZARcqexVirIvtdwmda3/An52LmRXWQy4ZrT7KIEUkKHqa6JDqI3+nEWchAh7TwvTsM+Z1FUKTauBCtR8Ziw2Qz1Ed9LIGv9XrfzPoAnbfY3T23wFvSOL7YmyI3D5mpCQZnDH89enjRsi1tN4YPwN3ETJIJDVGnr5nc3cn+OPtgaXPmDPTRb2ZBle4Z6hbbIL8erpXCJk0kTCs3lIYdBG7nu1abXbwdy1HKU0uIedxNeGSBpe442953BT5axmDTQPpnc+VtVWTmmHzLrtw1Bn8YRE57RfMNRes2sPBefnFbIrNkctcud2YBe41rvsiyAL5jMxSXSP4ms3l/SaWyBvfdr4aBP8lcvnK8cvIeVX2d66A+zTqPCO9gtxjs2Kc7gzMr2QR8i+YU55o2CUMznh206DYCutX3KJHVcHTBGoyg6yxOjyyz9gKvHrkyoLxVeQUpgbRfuD1xHWZ4zbIpQUpOpPBvxX73iO1Rf65jedQJbhk68+ez5hv+ZXZdoE/yVdjLbbD6i2yqHEWfPTzg6tB15CrSzNzUZ4lEiI+vi40vo787tu1CC7wgwwji8L2yAN81LdkwJvYJyRJHbC8kULrbQJe59Z7+zPmIVc1NtzB16IKXxY5Irfi2r77AFx13uFfoBPyfAZBlkJwU8aD8sbOyEX8O6pbwSvvPPUXdkH+Mven2Tfw8nzmhl03sP7ZHUazDR5y0GvjE+ZkhCevmGXgeV+25nSRK3JBidP+EuBNGaNugW7IJda0VPTAuxt/FBm5I29v+87oBE7KOPz9mAfyoF//ft0Df81exrbLE+vDeamdWTI7P+e3u/AJ82i5V9WvwKfP7Yoo9EI+vXgtfxjcztSvIeAm8huUKU/XwXOODC0aemM5s1Ev56AskaDzj5n32C3kNZfjy0+Cj4dKG5LcxvrScasWTfAXQtKh/ZhbXasfuwZOac9UWeCDPMwwizJUdmcdPo35+2J5+DTLqQzwrVz3/YZ+2BzU57Z/Ca6UNictdAfrAzMv8gbAJdlVr/7D3FRucn4FXP6pb1SfP/KbCdkEejkiITMvuio/AOvzon+TRMBv5fsO3wlEnmf4ff08eBWnCumFIOx+nbtmZQfOFT7LLxiMfEEhpC8Y3NL8+vltzHfHnNF5Aj5z+I1jbwjyv66RPfXg9OLLUXmh2PwS8rEYAKcQ/Ffsdxf52CbV0gr4G/dvH/TDsPd17FQMPQGeT6NSZwXuYXX+h0TyBPjw3AmqLcwb8lwmNMA96FO4e8KxHOUb+OgauLbrF5ncCOTCNadNQ8EzQ34Z+t5HrpP6kCcTPLjls5NeJPJh58TlBvDPRYkh/FFYrnNR6BwCt3wm+N8G5mZjCWXr4JV6MSUfo7FcQZXwiFEe8iHJ+9fZD7D14ZF/IAZuevpT7+0Y5B+8k+/rgDO6VE7oxCLnUE+PcQS347i6zBuHfOWTYVo4ONerCdK/mKdcfVmZAz7dJkHX9RB7v6c+9zaBy5QbsWbFI9e/l7VBBHdZUBG4lYDlw0x+4W3wki0KUe1E5L9bLGxYFIiEbZ2H0jxJyPvEtXOlwM9YzMmvYx4lsrpoCH4w/ZBqRzJyvnVjZXfwQ+F7NDNTkD/p8ciIAc+K+6Bz8z/kS/+0KEvAl0Qv6ms+Qn7gzYR7OzjT1zIDrsdYPVw6MzsNvk7da7CK+cm9utcpFYkEfZFG/fZUrD4PCyzygNc3eug+SUNe3fgqUAE8S3xJ0zMd6z/K7CyW4Lr/pNXOP0HePCv/0hd8MElNkSMDufmi4LX/wCXd2M8uYz763yBLDfgJsjqxd5nIx49e+NIPbtvIJpj2FPn6cFLqEvgFFhV29ywsJ6znOBxQIhLU74vTq2VjfexlkOIJcPvg7+RsOVgdOgpzaynt/NzDdHUR8y+q2TQO4BTD8ZOtuciNY+Y27int/H+Q2P5HechvhVGv5oAfbdJpupGP/L7z2noz+LDwx1LlAqzO79aSj4Of7zvw6Egh1gcO6DHvOgd9TPhg6DzmtTqNkhzgGnmfnJqLsPsSRGEuC+7xwsQwpRh5xA/eSFPwgP6Us84lyNXa2Ztvgfc6pHAqlWJ1ZbVMngyeP29EzlSGnWcpR/s5+IHe7smfmJM2nM7oA18Oo257XY78HFne5u9zO98LtJWbWIH1MfI/lw8oEwkbwsV3HZ4hT94l3HkCnIuE6ap8JZbrZBTPaYO32svKM1Yh37ci0+QITjrCyjKLeZwjm8Z98Jb3VcsNz7HrH58Yygf/kkHV8bAa6w//xXu2gX/qPZB1rQa7vz3HmabAJbp7b8nWIjdsL2+iUCESCDRa2vQvsJzfyuXNC84478s1hTknmb+EEnjpvNVSXR3ygTfvN66AD/tsN8XUIy9WpmwP2Dk/mc5Dm5dYnbeLPU0HN1wxuHKmATltol5IA7jL670itI3Iz05YO38Ff/7J+8845rWr9lc2wfmzkppqXmG5d981cxZVeN5JvhYZ9Rqrw+tmVmfAK7h/GFi9we77efUbF8E3ytiPnG5C7jV/IswbvK2cdHRPM/KRlAO5SeBqDxMziZifDZ/veg7u3zRwtaoFeejW+12fwNXL2vkiWpEXSGbLrIAbvnX4bvEWebiHf8BBNXiO9qp9Kt6GfHv1Uof4jgtVXt79Dnn/lhSPAXiorinrV8w/th0JcgNXMSr5VP4ee92kXbOx4Ofzih7cbUdOXzB3qRxc/ZmhqukH7HjCeN9H8O7xvK0THVjdJhONF8AVc7IryDuRv/89NU6rTiT02WrYDmBu++Cv9wnwpNgUppIu5JeKmQ/rgDvEPXgX9BH5oUiVBmfwA/3Ct4y7ke9yCHKOBmdouSEg3IPcPbxToAR8qONSH0kvlp/5hWc7wJ9emvXvx5w36HHVL3C/T+xCBX1Yfx7kjNh3HuZI0VrPnX4sb9x4YXccfETF47bBJ+RcgfbaWuA1dPGcRz9jdaIpJucEruRh1LKJuSc9w+ko8JahF9e6v2B5mG6/dDG4dvkrmpwBLJ+H8Z7rOL/z94N2hbcHkZ+vNDb5Bb6hVXJeZwj5/s95nvs0oH9Ox0/zDCM3EWF+fBz8adKR0HXMN9bz27XA3zXLcXZ8Rf7C04zcGXzrC8mLjBEsb4yLqkSDC8te1vcaRW4fcCy2BPzQJbOZ80TkJffPf+8EN0xevsMxhvy5UoziPLjR5aMMy5jvn9rKo9UkEsyOrGW3fUMuUxnPdBLcX+Ty6dRxLP/PGMbqgheTW791nUA+36LI4ApeQP7PUOU7cqUws7RYcNpE8fEjk1g9O2aJVYCrcZK4zGP+XwXLxx7wxzRX/zRNIRdKafJaAueptwhKnsbym3kq/0EtWM9H89ROM8j5CQWjp8CN6A7FKMwi/3r7R4YhuGVA98FDP5Cf0LFy8to5Xp8reRbzo39pFZPAfX6SH2n8ibyldoWjBvxnpc9/D39h97f9INUA+MMDoczX5pA/c3Ze+wN+6hpnksw8tn9HyRaPaBMJ19m1GA4sYP3B/NPSWfAnKTTR3zE34J36ZwZ+hGBC9WIRuar7acY74L/dJfyjfyPPDGsTTwenT81YsVpCTpn+yPQVOIHjsf3pZawe1sojx8DpLHlH9qwgV+/Y+5ZUh0hYeCWtS8T8jGUxDS84d/7Qq8pV5Bdn442VwV/4UJ8MX0POUNRcbAue9/hNqvk68ndjsvvugRe4UNKI/UHe3bbLKx/8gkmfB+VfbF+nHZh+D07/4tjIIOZL6c7WP8F51/eolG4gD6A5Mr1PF+rK06MoeBO5Iguj1wlwm4SrB0y2sP1Le2WfHrjMiyEP4W2sz/P8K3YDf6Yy8InkH/KKhAXjeHDxVLPT/ZivZkjueQ6+zmGTmE8yiXJdaM/bz+D0or+X/HYhN/BrifoDbidGpqtPipyvlc6cRQ/maWhSAT8Z8s7HVRKy4CGRJWQbmO+RqzpsCS6bp2raRY48bpKOLBCc6YxV+VMK5DS979YywbmfblF4UyKnkx9baQaXOcd8UZMKuaS9ydYkONudygLO3cj/RZ3cT61PJOiVd/5dxnxyyv7oMXAJOTv1d9TIjSt3a2qB/wvxS0ylQf78xJ5bLuDV3+m+ue5BbpToXhoLfuYVp7DKXuTBvErzz8DPehR5HNmH3OeQj9QncLkrz+rmMHfJY72/Dp42eWpX037kYYcEp44YEAnh1ieVk2iRf32coSkLTn46O8yBDrn/zbA6S/DJxrg2wgHkN74NiQeBD5itUx2kR57N/KQqC/yKY7/yNOZ7LvbLvwX/qCkYVM+APGDYt38GXMdsqT7mIPL+0ST3vRdg/q6LrV5lRN6TJsByAlwlYOq49CHkJw2Pf9ADl9Slu7rvMPI0uYK7HuC8rUXJY5g3JqafTwI3J9S3VzEhP5qyn+kFOBWz3FY4M3KrwPW5YfCDZaLHLY4g/xlh0fUPXPdKoqkYC/LTiwq13IZEwsVwh3uUrMjz5p8WKYM/DSl7Noh5yuvQ/GvgHqVXv5awYfWQOV16H3zSJowimB05Z0dHYwn4FBmTsDEHciE/yYFucJnvjHrHOJGn/+LZXAb3sQnw+Id54sWko0xGRMJ+olFiLxdyrs1Yi7PgYmXJz3O5kSvRMaZZgG+dVO734UG++JFrKhBc/6Xpbx1e5Ey3aqWzwedKh/bx8iGPVfqa0AZubt0ssI65qEP0xg9wMjFG+Q/8yOuFOu1pjWH9vTqMngggn6lPHRcD/y/8p4PHUeRXzbZtjMDdW1391QSRf1BaXLwFrnPXLJZVCHlV8c2wVPBK7qKMBcyz++L4X4OvL1uWNR9DzrCk1DUBrmF082WyMLbvlCIDd5sQCYXpi22Ox7F1IHGSFQb/IdjZIy+C/Ir1FKku+DOtvUMHTyCPyd3sdgf3sy4cm8b8G2VJQRJ4YlPBZP1J5EF1m5F14Hyt1LMxosjj/814j4IfaXr746oYcsF9N53JLkLepp/4ISWOXJ0920kAXHKPxezeU8jnHD29NMCvUUhMETGnFp+55wLOanLtW6UE8psFu7IfgttdWhu6J4l8375X76t3zm891mt2GvnDeL6/Q+Dn3vG9PymFvOm2uDjJJdi/400N5NLINf7MevKCS1PVlX/BvF1d640aeP19mqdFZ7B+km3K5ARe01oeF3AW+W+Vw96x4Hv2lwVckMH2o23gWBW4XTW501FZ5NJyjy4MguszlRpvYn6SyrZ7G5z7bon8RzmsX/39ZsxjSiRQGJEezSJg/USfYVoVfH04f5+3PPIjquuBjuAdLlmLGgrIeekf8sWCH7Ne7OVQRP7k50RPFXjYnpjKJczTaOfDB8FPvPR/+FYJ29eVFef/gct/aLzx6BzmDKKMvGZEQlGkjqaLMvK7Ng4zauBS+iL8SirIhSes3jqB+9ww3T6kinz8LVNpHPjomU99s5g7qUc/qQbPJE/Lb1BD7pvR/GgY/BNnhW+cOvLa3S+f7DKH3P7tgLbteeQN1d6l/OBzj+rZzmggZ5xaf6sBzvCk/Mc+TeSELrnZG+ACCgvVY5gX52kcSgS/1H0zqEoL+ZtCTs068NJMVY1wbeSf6RrvE8HXKS3pzXWQi9Md7aewIBLGdF5+PqmL9YdvZkePgX/rvPKIXA/rJw0Wobrgav0a5l8wpx4R+ekJLlF5m61IH8tL3p1mj8D/q/815G+APLxF7vMrcBlCVrLBBeSZWwGmk+DPI1MNBAyx400SZ/ZYEgluK1/2bmDOsj8gUBS86J1hc6cRcgEjAo8xuOdFhtuZxth9vNbf6Qtetkwn4mWCPMtXKSQTnOGHFlH9ItYP30cotYHzRb6LYbuE3D68aO8cuJJAMGERc9bF/FGGy/Bcv+f2z2ZT5GTSIfXS4Dz3ipOSzZBHJ8s8tQSv/sGq4GiOnEO172Eo+J+Qt9MECywH+mpGF4JbZRZFM1hi/cc5J64bXCquXWwK80XD8Sdr4P9l8vS/uIxc7zp5LdsVmNdclZ7RV5B3jNIMKYHfM/M9aGWF3G1hjdIe/HqGT7mENXKFng8yMeB+suWa1Fex/VUf4fscfMOPdXIY88PfxVqHwX+V1vuV2SAfCG5lJrMiEkQ5YxlCbJFLdancFAR3Y0nJNbZDvrBVOaIDLjnXK33sGvICFXpdL/APE/LvtzGnJFq2PwY31xg16bmO5W2SdN0m8GGnku/Z9si7Rz6OzoAfTi6+ccsBucT/MXXf8Vh3bxzAZZQdWYWshlFmIaO+tmwhSqIiM0pECJEVmSEjSUWyRyQjFJWRSvbqvm2VTVTS73r++Z3z7/vl9XXu7znXdX1O9dxP6c/rLLYkIodj6Jf+JSz/F7HyyoP/kVYIEnBFvsqwp+UsuOmRpq0rmM9THLwZYvvf3xPdiHznhtzgjbhqPvgByfOM6ZeRK90WZewE16hwv+N2BXlfhAB5HfyecSG9mjuWQ9bZGvjtYF/02MI5riLXZaJ5pgUutPBoywzmbJsr6a7goRFnfGs9kLtTTKQkgntbKy/GemLr0e3JrAFPrdGwt72G7Rdra8ko+LkZj345L6w/RzW20V0kEdulW3TpvZFnzdYtSIG/GVSvHsbc1K2B/xT4eZkx4dLryJvUWk8Fguf459wN8UF+7eFQeg644Nbovxa+yHtq16c/gEuyJ1884If8+Ad+lVVwyoWGtk3M+baZZvHak4h0MqNU5w3kGZl3GTXAP0v5JGT7I99oGw1yAT++j2b5egCWixpVt9wF99lackI/EPnE89LIavBCHp8i/ptY/Q4e4hsF38y3oVvG3M65pYbOgUSc2bxw4W0Qcq1kD1tp8KDTwS9Tg5FzJh7iOA1OQV3H7HoL+eMU+s83wZU0dlxQCcHmSN+v5Fzw8+eCytlCsXVGUDp8Ar/xgI5qCvO54X2q6+DWGnnG1WHIzzBe3CfgSCJK7124Hx2OvOR4I9tx8Llh6clzEcht3ykxXgG3tuKSOHwb+UBtN3MKON+pHZ7bIrG+fTaOpwGcl1OoagBz++FLMtPgOwc1fxdGYfty5ZIpixPcH7/fUAy6g9xKPy7gCDj7nbfXzaKxHPK4v/wceD6FUIVwDPKuPJ3lCHDH6Jj535ivJZGVS8H5vBhEOmKxek95FNcP7rN5zzorDnnxVPTcFmcS8cPp0F3PeOQrFU/MxcCb/gw1aycgD5Wffm8Czr129yf3XeQ7Hp7W9APvf2Cxbw7zY3t+tz0Gb5QVNmlMxM7tSqtVO/jZzS3+iUnIS7U/rK2AMytNZTskY33JiDJjtwvcoyV62hXvIa9TcdHXAlff1bHIlILczYBu62XwlGMd7GTMdZ4Nt9wDL/zaLfs8FXl4+My9BvCVo+Nm4WnI9XkkrsyAl6Wtu1umIy+/V2Cy4xKcZ/kd0eL3sZwjaU8ogb8xlcqhyEDuyWklZwf+Utqk7gvmpQGx8tHg9qzenTkPkJulb1GvBBc+9GDCJxP5/szyU1/BxXrf/tR/iOXD2pzrtK5wHo4u0AhkYXNBeOiRNHhp9i62ZcyrWE72Wrr+9/95UeN7+wj5r/wdnCHg+b5OwqmPkXsc4LQpBGe0j5G49ASbU43nynrAu41LDhHZyJ8/XN5O4UYipn065HbkYOv/89Fb1O2/P9ealp/AfC/V2owJeETQhlzVU+RD35zsb4D/GKI/HJWL/NK46Gw2uNaVHZLWz5CTBY8EfASP89khIp2HzYXupF2/wKPk6Pmp87E6ldKoF7pMIjrH19l6MVe9qHFZH7ytcXhrXgHytOx7ol7g+fRVazcKkUvuIeYywQM2wiaNirA+s125rgWcp0vni1Ax8ur7scnL4OId/+pWMR/8o+i7+wqJOCicm/O+BHm8NeGoDW7PoxadXopc72fGOXfw5cl2d7cy5A4rFrbp4A3N2maq5ViujnS70gweuVx6mP058tnp0fB58KF8erYpzF+rVj7b5Q75U+zE/MsKLIc0z3Srg9s8C2m5U4ntb04Aoxt4jd2TLJsXyF+xeRmkgP9MLvaWqUIeRnxOeQ1e4putR/MS69uW8XM/wE/qhu7uw5wu6YUh11USsV/FcDavGqtTAc2XquCHk/9V+9cg/3RQSeIS+JmwlDDjWuRS39MKk8ENdXca76nD+mTURflG8Ds8AVw/Mb9P3G/7Dm5/qGXo/Svk0XIqzpwekK9a1zPT67HznGXCpgquwsN43q0B+dPirrcu4EtWlAKqjciNE96FJIM/fj8wxPYaywM+Bw0awSuTE+9NYp6dSC3wA/zMPwnjl2+wecR+4i+nJ4lIUny29U4T8hQRtglV8EM3KWusm5EzbNHvvQQ+sE3RVfot8vQPG1/uga/RGu2mfoec8dX+wdfgndUqbT2Y76Bs+zEL7m3G7P3sPXKjlm+0u65B7mV8IXCjBbm5erikBnggt+J7w1bkuZlZ5y6Dsz9PdhVsQ17JpHQ/DXxwezvLCuYjtWajzeA/bftL37YjvzI0L7MIfnqyzjj1A/L8dKYYXi+YR+3XZ106kNeIFi9rgzfo00Uc+4i8tqLb1gO8Kt1NgPUTVr9uwSMPwAfmnlaOYV50q9K2FXyf33Pdys/Ib+3xWF4Fd752dyiiEzmL/8toQW8SobND49KZL8h56yNlDMBlwpp/iXcht9k5Tb4ObkfDFUrRjfzGi870J+Czb+SZv2BO16Z37hN4yer+pOwe5BFBZpIb4BYdY7uu9yJ3opujFbkO97gg1/u6fdg643fNmoILqL3h3d2PvFWrbzAQPF99PG0e8+5TB7rzwZeqPnK+HkBuvcrW3wte3hUSlziIPFj37hSVD4m43kJJ6zCEXDcsj0IK/EHLcX+FYSy39FjutQI32ma+wDCCPNUp2yQCPOy56PkRzEcuRUU99/nve3HffCz5ilydmfkjCfzmXkHlWyTkfn4Su5l8Yb7oquecJCMXGZ29pgCenC3CLDKK9e3LBv0Xwf0cPnn8xpzNxFA7Aby1QaG3fQz50crF+lfgB0Ztj2SOI69oOaL+HZxtw+Ce+wTy5pd7P3P5kYj3x9aW1SexflJe6aQBfm7A2pBzCnnQ+DyjO3jt5q2cacwdfT5XZ4DHDV7cqJ5GfiHTyqMV/PxDKuPoGey83UqQWwP3v2GVZfMNm48mntR7b5AIhszLC9LfsX0/QjVsDL4ip3yU+gfyfluVBn/wjauN4T2Y//p3sCgPvDRo82PuLPJ2hdacXnC3+CUOvznsPR/dlUftD+f/0/3TBvNYvzrCUyUNfufSRhr/AtYHzD9/sgYvu8sysIh5wRvllSjwKx59nE2LyGMLrIVegksqmJ5IXkKudfTImUlwkR03bzsuI5/Lan3AFkAibA9Y1yuuII/byjWrAv689McS4yryPff4tNzAX38W2/sV87jA0Wfp4JRVXKalP7H9/W67s+W/58SVBd5aQ35g25P4n+Cz4b+fnVzH3tvfxxx7A0lETMvcZ+FfyIX/2D05Aa4dFLP2C/N3YtNHA8GTBvq4238j31clMVoA/o7ig9KDP9h6OhTiB8D/8DlbXtlAnpVKr0d7E3LOuWIvtb/IT2k82i4HTppLj2PfRL72a8tXW/CeVYncScwzJ8RexoObZDrUVf3D8oAM34N6cH8OzU+RFFP/d0GG4ehZcN3gtySrLcj70xwjeIIgj23/PidBifwU4+toHfDCydLfFFTIz0Z+y/AGPyLNTf0F8xRirCobXH/nHoZsauTZ5oUjX8Bnm9q2e9MgZ/qts50ymESM27Dt0NmKXNesWlcK/CPrL1aebcjrYv/FWYPvorqxfRbz6h7u0Tvgv8+k09fTIr9pynSsBtxPw5wqng65slTfkxnwK+P5vy7QI6e9d4Nz5y0SEWybPnuYAfm30j8JWuACM3u+bmVE3pdnzn0NPOa+Rkcf5uX5MQWPwYeebFTnMWGfa+SJTif4jIhe9g1m5KcvpS1ShEBdGElGG25HHhl45YkkeNOx3KsCLMjdVUUuWIOf3F1xcgnzpMHXYtHgh1hPyjWxIrfzVt2sAVdVCWdP3oH86LHsoW/gsp90FxzYkDudnm/eFUoiEiYftCiwIxdaEqg+Dl6QG/yQgQNbp7TSS2/wLKVVz2HMn6sQb3LAzzWtahVzIs88LtHXDZ7jcIsziAu57FW6deowErGpkzFmshO54eRnocPgjbFqRXt3IS/9EHHKFpzj7FWvn5gzn5BMTQBf6j6g/J4bOU3q2/FG8F18bv9SeZALdBgpLYLznz7S4MKL7e/O9vsC4TDf824HHN2NPD5Lmc4YnEX2vOJ2PuQP4h7dDATfz/tqmYT5UeZ/lMXgl4Mz88r4kd9TM40bAb8VSW0TIoC8+eRDEeYI6CfmP1jMBZG3X55qOwruTmfeICyEPL1K1NcVPKRJxfUX5ttPOR7KAP/4LJ+rbQ/yxWtP1trBlweS6u/vRf5L4evbDfAzPpt2bvuQt7Ttyjp4G/J5zvg2lf3IF0xOhlmBFwRr57IKI5/+meB1B9xbcr/WGObcX7+414KrfggkPxfB+o/Mrus/wINumPqGiSJ32GV3mzeSRHiefchySgw5XK6y9cGF4y4+ET2A/I7S9g83wH0OP5L9g7lqs/u/AvAdzieb2g8ipwgYUR4GdzAOMH4gjvzpHfNQpigSUb+Vd+CyBPbzOwf7joJLFIifV5VE3qDlKu8GftembGKHFFYXBHPWA/B04pnDOObfReo5PoK/c2adqpDG+qpoUNK/qP/uKTO24TLItR1OCkjdgX3nkRk5dQj5H9qjlefA54amT4odRv7isIJFPHjoeaa2P5hns+hRvQavfPvg6AdZ5AOvPaqXwD+J3i98IIf1JffnN/ZEk4jvT6l5rsgjZ1Fj1jUDXz7bG6p6BKsXy2ChUPBMR7a5HQrIvcisWyvBr46/MB3H/P6fupVJ8PrZN5UVisgnO8LnuGLgfvdQjitcCfnwzSvLx8GZdm2/dkoZ+U85Hypf8Iqr+p9EjyKP43zMlw++r2VW5A/m6xrzGkPgpfJLAe3HkNtOWXsxxcLc7D/VmUFgzxdaLjsGfq1FYM9lFWzfeQt/Xwa3FNJxV1FFXvUr2iALvHLzUy2rGvJ3I8n5neBfr7+gGcO8duE9O3Uc9L28P3rP1ZGbmu27LQtOWXw/NlQDuZxEIa0DePGD1E/mmtg6H52/mwIee3eRWUQLOVuvumjrf8/Peaz7C/P1ObPWP+B7loputWpjfYA52Us8nkSsRu+oTj+O3OIMrYQN+KG7H2Yv6WD9bb1gIQ78CvdXvmO6yJvoQl+9Bt+mrGWwXQ/5bHn8vRVwIRZKHxLmOdxdfvsTSMTLItZHpfpY/zlv4HIKPEbS832wAfKdhZsXI8Fl80R+mBoiVxOYcakFp5eTYNpnhHxshMl/Dlzx260DPzG/yeiWKnCXRLwaFtF+Z4w8vJ2+0QT8jDDvuZQTyE+qTSyHgGcNW3k5mSCXjN+UfgG+yvnttqIpVr9DFn4z4DdnXqcxmCF/qbX0kSeRRCi7TOYOYR613CFpCL5Qavq88CTyEpr5tJvg0l/o6gLMkVM9NGUtB7ce3/bGyAK5/sTfhAnwJ7/13wqcQk6sz/HvTCIRFAf63i5i7vVHuEoXXD4yt+n1aeS+rHln/MFHDtbV37VEXm/lRV8CflKYo8ruDDbf/0U3jYK3RRcXylph9cW7dJsj+b9/Pxb1cOtZ7Px0P7Y8Dn5p7mlcL+Z6+k/k/MAXt1MH5FojT3i8srsIXPzHA0cfG+Tb/iaxkMENkr2Ndc8hv+V7m5n9HrhgtCzPeeSfjn7i0gZfyhzh+oH5A0eXg77gn/e6rNVeQB7Ba6VfCK73Wror2hY5h99jbxJ4dKR0kbUd8spstSK2FMhRsU6hkhex+V6nuKAFzj/Wd5rCHjtv43eO+oK3JAcc+Iz5QSXF5ELwuZrTv7MckH8YVf9NAn9l6/T2qiPyyxt5Tuyp8H4yC2LVnZBv5l4Z1wbfGihkzu6MnWe6ZGc/8D621l0TmMse490oAqdyezRQ4YLlWEfq1FHw0oy8lLBLyA/kGqlyppGI4TKyqYUr8lN8/1Z0wI/XaTGKuGH7/p3tuT94cHtf4zrm4pKxAaXgP+aTPVsuI3ekv2o2AV4od3Nv2hXkXBl1srvS4f5efPezszu2zm0eQgbgg06f/JSuIv/neJc7CDzdQ3YPowdy3lF+vgpw08HGd0OYuyfsEp8Blyj2dCr0xOZsapD27vuwj3/1aQOuIU/kOu16AnyqU+eJoRd2bg9kPQgFZz3mfJTfG7nYquXgS/CfeoVf5jGvvRu+Zw68jm6HQ8N15Hf3i3gLZZAI85B7a3E+yEfbj/aYgwe+Vw4974v8fXaLShR44ygFi4wfVl+f2ivrwa9+Hb1HeQO5lcvxIyvgVa1k3i+YdycdbRZ5QCJulGw8eOyP3Met8OxZ8ID7MnyeAcjX2FK3JICrpAWnaQQiH3+ypfQtOFfFdzaOm1g/IaZd/oDvWb8UOYH5KqWhjFQmiTB0o9msCMLWw3iY+iL4CaHnbmHBWK7wSyenghfyXR8yv4X8imtoawd4qauxtnAIchuK5VdUD+GeuEu5eA3zcyYTr46Azx9QZH8fitw86GyrK/jbIh2vlDDkdPlW5Ef/PSffqdsxHKvf2TGqPvBTB1KlFSKwvHdxRZopC/KqfG8k3W3kAtKxLmrg9X1C5H7Mx10rSrzBB7j8DudFIt+i4LilEFzj70iIbxTWf4pzz46Ca8YbdOrewepr3ruZ6xHMl8FmXp5obB/Ze48YgO+d0LL7jnmi8rsXweCRzz/m1sQgtwvRUasCTz9h8y0qFvlzWpu+WfCUNysiVnHIlSZpffc8JhFxrLF2B+OR31M4Lnwa/IyaeMYG5sb8fKQY8Cyrjs72BGzfy6OeNIF/sXenybiLPJAtwfM3uLgDh6xrIpYDLWWMpZ5ArrB9ef5oEnLpbFd5e3CDC1ZRTMnYHNyuKXYfPNTxb+kw5pYVL0U6wTv90rsL72E5sKxdhjabRLhkyf70T0F+bU/g8WPgxiOtbIap2Pvf0+nkCW4qbynBl4Y89MPb5Dxw5tJRzTnMqY9ZfySBTxnZWr5Kx/JPXCobVw7ca3YOusTcR8751cfWAPw2k46vdQY297Uo6m+Bcx0uCJV4gOUQkvj+anDjWKqYTczvtlClLoDfFTK825GJzS+eW1zCT0nE9sXIpAcPsfyzVJB1FvzF36pEtyzkKQ7B8ongJnq9ccceIS9Ppu5vBXcaGr/N/Bhbf9rhsC25JOJ0OSlwBHO1O2zEEXDtzparRU+QZ4U/oroMLqSUeSEgG3lQzuiXbPCn8zZGhjnI+ai6i4fArRbpFfieIk964XuP7RmJSFTN5J/DfHG4K1IX3JXMQ/UqF/meuPHbQeCdnwPHop9h9Tidl1gF7sHW2nA2D7nBP5H8efCenF9p4vnIi+dtPuzPIxFqd5iu/sX8Rafxn7PgH99Qa30oQD7UuHE4CdzGYIQzoxB5QI+dbzt4pkjq+KUi5BOikW1U+ZDDTx4uVi7Gc5eriBL4wOciL8YS5A8XWeKvgos+2KY0hDlDiidNHnhb1dGN/FIs15FTQ8ngTgLG1X5lWB1NBrHuKiARl78cvaZXjvxXvfgzY3DeTzTiPM+Rh4U90I8Av8b+lPwN82yT7j/14AYPBO5WV2DzQvlL5Rr4MRd31chK5PvPpvpLFpKI8uspP06/wM5Vu4ixA/jXN4mJolVYrs4KlsgEr9e5qPAL8z+rT3f2gvNuoxt8/xL5NCmVeXsRiYhaD/BJqcb6le9pFm1wZ+637I41yOf7p3YHgk85DhfI1yJ35dKSfwG+/PWN6rY6bL7oXrOaL/rve6iuf+nBnC/SK1q4GOpa7vf5nFfI+ed0W23AfzIen71Wj+XY6OUdKeAVv85d02xA/ibQ3eET+PM19d/sjdjPDza/oy0hEc+2LPiNY76/avGQKjjXDrvf5a+RKx/8me8Drrcn89qtN1g9GnZJloGfkXw4a9KE9TG56Ppv4Aek7C8INWM5YV3wzJ5SEmHPv/BlEfPVwruUVuDhP5XVGt9ic9NlrCIR/FORXmHcO2x+ae+49gFcX5WH49x75B6nBFW2lkG+zcnzkWzB5tdzVi4CnK1vfWATcy338V/e4Jc/UCt0tCL//SRtugR8T+CHuxltWM68KDs2Ay4zceL7pXbkU+8qZoTK4TysxRHKH7B6GeXdOANuX3g7jqED+bFWF+4k8LBNxZEBzAcSH2t0lP/3/faPRfI+Yv3Notl323PIvYZvLvt8Qn5euLNWBTxOKaX8+Gfk8bva6H3Bt2QKrnB1It+uXmpXDu582Vp6CvNXVaGtP8BnHxm4VH5Bbh+ro7y/AnKL5FxWaBfWrwb/vrQBf0tPdJt1Iz9e9lg9Ffy0GEGztwebL8LK/Z3gN27NSi9jvmH03pexkkToMOiced2LvI3QEdECf1xpHBTfh1yCoYEcCC7nS/XkXD9yxbfiT1+C++meeyM5gPxbyN3ry+DlPPZfNzHnO7N0UvwFiZghs61/GMTqwkqPcABfj3NkyhhCzpGReTgLPIDXlv/SMDaXpRZkB8GnvSkllEaQ84oeU+eogntusqYC/Vfkt9IjrYzAGVwOqPZjHpvWE3QbPGa6TDOXhPySwp7yN+B3tgxqeZORC0e5L/wFt899pKE1irzq0WuFIy8hH36kJTjGsD6cwBV7FZzbkVFuHPMCN/eFAvAcuwLR8nGsnx//fHYK3LNyalfwBDZfZI70ClaTiG7Duq0nJpE7qzy1sgKf5Du4wD+F1e8t/rlk8FiuQz1zmP9mehT1GTxY9HNV3TRWp0uSsow1JEJZkyblzgzyR2qt37TAt5zp8DjzDfljlqsFQeATlgf0xb4jV3AT8a0FbzjMI/gLcx7XOdM1cLm++0vvfmD1y9esIFML96DDxQ3Js8gFkwoPuIIHKpyIujiHnUNyrmgueGx3kMnheeQ27FWHxsDL1whOqgUszxNDOnx18HljIns+Y97tyXnpNPj5iHN3Hy5iz29ySEus++/7xBr0Ly8h7zz2uesjOIQNymPLyCNWTXkYXsFcYOetYFzB5tr6gqsWePYku90g5nWnn7UHgQs13N2et4pcXSRAvg48PObei+s/kc94XilaB68/xm+lvYZ8zihI+nA9ifCtE/3LsY7cu6W04TK47FpF2jjm0YuUVvngh/teHy7/hVyg7xrVFHi4vlFb0G8sX0UzvBBqIBF0KpbWxn+wuuZv9rIGP/NgdJZvAzu3Dx+rpYHPmkz5zGIuwpfL3QO+fNyBsvYv1p9zv2yyNpIId5fz4ZGbWJ43FJ43AJfO7qI9/Q9bP/+T77fBm0n1YcIU0//3WjG9lWbwWFqhLT8x/xuwm47yNZyrrb+9m7YgP3iAV+wYuHiz1vcESuR0x45b+IKXiG87c54KufLbR3GV4K9FFd9JUiM36jzYswRe+WhEchPzoitTwpJvoH8GLSe202Be/CXUBfxSsffPtK3IwzKW5p+C17M7mzltw55/XNN+HJwtraVInhY506v2aYEmEvFEOIlmKx3yh4yR3mfBg7LbTnVh3qkasCMN3O+PS+4jeuSGLnkve8DFWa+tXGFAnpO83ZWtmURQdUwoE4zI9T8XHTQGF9lVF8TEhDxN5Pb6HfC0/l+vBzFvf5b5qQWc52caRR4zcsoLy8+3viUR8iczFa9vR65qHZqtDn58mMZdiwX5lXzzRzfBnT0/PGZnRW5t7phfBx5Fsdo5ivkLl5qG3+BWDn6bJTuQs64bj8q/A4+x2R/Ihnx8mxjLNfBPlg91DdiR336qrVv27r/v8VB24eFArjaWFzcPvvv6oYgZzCXfmY0dfA99O+FW1gtO5BY2WmrO4EcmDrwI5UKe/eJm4VPwh2YHWkx3Ip8cpN43Af6s6Wav4C7kbb1fcoVaSAT/rgOj85hPVc4dOQeeICs6U8eNvCLEvDsD/Oxfnx9RPMhj9BkDBsGfmvL+OM2LvGwX66FdrSTCmmf7tPBu5OprF1fMwRXkT5BWMddeYHidCF59m9z1hg/50+3U9zvBRVdfNcfzI5c4ZxTM0kYiHpyZLrMRQB79Y87TEHzpgdV9cUHk5vVjHnfAOx5yB//B/N+oRGAreKaaoF2LEHLy+c/JtO0kIuviZbV7e5DLa7VXa4F3faPafXEv8j1pAt9DwGnKh5dl9iF/4vBR+A34+wd/3lLsR/6oqv/Klg/Qb2OskjswH0tWeUuAa1z4d/6+MHJ2RhqRAHCO36OiziLIXwuKJNeCP5XdOicvityGnMfyB9x/xaGIRgz5UbOYewodJGKMY5vLF8wTb30Ruw7+4/ronqwDyAOu+7VWgvturPe5HUT+UyncaxVcKlAnUlkc+WDPmsThjzAfv3bK00sgnz/RsXwVPPfPXXIv5j0VDM2l4NmlUeHZksi5GEofLYBrfq0S9ZBCzmNZf0fyE/SBC9zvVaSx85Avf8sNPJyr+AKzDPLArTxhheDFQ9d+DWLO5+mc9AM8JMb1zrND2Hn4s7/0wGfI53RJPN6Hka9nn+h3Bh8W+56jIYu8wec7Ux64ZIebxA455EsBq4Yz4O8/8pV9xZyx7sp9kU4ScYvht3ShPHIXJeufDuBbz/4r9D2C/MSWequn4A2Z4vuPK2DnhCPx4yT4t6JbaRyKyPfeHDHc/4VEhF6kYBjDfFMrc+Ai+OkHj7xLlJAruvdezQb/fciJ5K+M/BZNBNcEeCOFqabeUeSO9GXv93ZBbhyxztl5DLllmHmYHbhgbhTVJOZ5gV7GT8Ct5fqsygnkkRs7hMfBaW3Vy26qIN9BJU6/t5tEOGxrpzJUxdaZ2vzLFvzOxpUTPGrIB5qGVx+Dn+CRTp/GvCjKa3MM3EKZgVyhjtx0OY5tbw+JoD+yKXRLA+s/WyRk7Xr++94D2vPGmsi/VxvaPgFnEhBL362FPGjfSsY4uEDtuc/fMD+oxT+xtxdyYEI+VZU2dh4EPx+5CC7qSycTehx5TR19ajZ4sq6PlYkOcgO+DzST4AkDv4L5dbH1H98VuL+PRLRSRGb/wPyUygK1A3jtXZGml3rIW+hN7z0Fz3PqGgnTR76SryY3DZ526s6qqQHybSINZJF+EnFRzohW0BA5x632VCfwR308XHOYb290tM4Dr2ZfFKwxQv5+IknyO3hv/QeRCGPs966YMR0cgPxWVHLg5AnkYks5a5fA31emiAmZIP9KujNXCD6SH7JvHvNLTduW5sAjLnjw1poip3+4k1JqkEQMFNluv22G5RavBj538Co7s82TJ7H61YOrLnirhcaMkDl2fgT7/ZfBb56R+TSP+Zk/eg2Hh0jETvXd5bUWyG0HT2/3Ak8gUyXcPoWdqyYqlxfgNXQTl8xPYz9fpftlHXxvTL36Hkvkv15KHlccJhESqgmcC5iLtZW3+IH/XjkzUXsG+dpsr0UduLcfT8ltK2zO7s1Y2gS3yPnoZX4W+afL1GkqIySCT9tbYY819vOdzIbB4EySrOvzmPMZ1DE3gctJ3i+rtUH+jswyRPOVRFzZyeV0+xzykHj6Sm3wUzU3eczPI/c9m3//NrjldG+L0AXkhVorsW3gjy/zeM5jvs1wMpaJBHlSUJe71hbLjZ7B943Aq9sv1EbYId9X3VIRD96pamd58iLynQJ1g1/A3xkZrAjaYzkh5ywzJ5lElDXzRs5h/sGgwOAUuPfVzzw1DsgpOPNS08Dr9zo/C3dELv7PYmkInCJ/QsbMCZuzdC8s+EfhPvJFrUrAGdvfQ+9bzoNzXbqpMIs5XeCd40/A69QyKl+6IF+doe6aBP+1N0Uy7BLy/Z4yl0THSMQ+0uUnJq5Y3uPlZL0EflF1Dwe/G9afx0peF43999/PlgZ9xzz6LVXQIvgD0Z3fXlxGbt+8Xf/wONSjjoVhyBVsv0a693iDO6m5Fhm7Y+tntaCtBo/9eop+91Usn59J/LUBzjK788IM5v+qY9aICRIRJldQUeGBXEtSm/IWuGU4K02wJza/Kl7tegv+Mk/b2PAa9v4Nfh6lm4T+6WJwj9sLy+1Lc2764OWJggOTmF948qwgFjxx4fXOcm/kX2yE1zrBw3SkTAOvI78j5GTIOQW52snxtp4P8sWZy2WnwRu4nWu4fLH1lyvvyQCP3n94ZgzzPL9PD0ngHubNO0r8kAupHDywdxr6swfvkRs3kEf9NX7tAC6tfeT0cX/kOSWEfT54WyqXF3sANjfNf3HOg9MffhlDwtzgW0CXzAyJUBvheVwQiPy50+cHXuDx546VX7+JPPjT4rVq8JFg/nqNIOTd3OTTm+A9jK/esgQjz9Z4qKv2jUTMN+9sHcK8XUfqeBi40zWJltxbyKn2J5i0gh8f/fvGMwT5SNdbJ+bvsO9fQqtVQrF8eOJjtAm47PbmAsYw5ERKwatkcDmr6rQ+zPUe22wMgIfctAt5Eo7NKbcZLf4fJIJB7bXTlQisLy3rPrAFD7Tv1FW+jfV5iVDKXPDz5XeFaSORn9+V6vEDfHGWmqILc57i8EWpWRJBDO7tyozCz8mJG9fA+VSWHrvcQS7VtM5WDS5GdrksH42dc3n/qk3wluA4OaoY5HYEyUl9jkQIz1j/6sBcs0tIJGLuvz+H6X6RFovcYUFzuR28mG3F3T4OuWu0bhvrPIngtqkSlonHzv8T6RJz8AZ/wf6/mG9IbmSlg1fISIS1JGDnViT/IQm8U2VYIukuNtfCiIJ9C9CfncW/nEtEXqle3eQM3n11t8fBJOTLp3i/FYOf4ilgXsf80yt73lVwhf192W+SsTzgmnZGcZFEKJ18eCT2HvJE66qngeCTTlTvLFOQH7vdSNEMHrWP4sT+VOS0k5X29EskQkUnqWcRcwrX1H4j8OmkRou6NOz8cDqfTgIXbr/VFZGOvZ8+0ckB8MsFA/pm95E7F/YHCixDzvnZ1MCfga0/0ne/PfhzF1Wp75i/dGQayAf3bjVMr3yAXO7Y3bRF8Ped37cEZyL3pGRylF8hEZvqXHYGD5E7Ffip+YMfHv7YuDML+YIMSfQN+Imz7DzjmL+8o8RHt0oiNoLHLhc/wuZFSQy/EXgeo3KD72Os7hIHxJPA71XxMmo9wfqthIDOIHiTRogpazbyH9fOuQv+JBF/3dyThzCfsLmf4wD+aWW062kO8vDRrulC8Ht3e5k9nmL7u0x/ZAXcg9ZQ41gu8oIIIlFxjUTosWheo3uG5YR7Hn9vgn90qMnqwryNPdfjHfi1tuKWzDysvn4O/2RaJxE31gRmnfORi0hzhpuBTz1lYpQrwOZd9Ym96eARKZ77txRifTI0voMMPhdiptyO+ZHbPaEiv0iEj0iBwb0i5FVVgrqXwXWO+VpeKEZeS+vJUwmuF1R3QbwEy1euHb82wGUKPO3XMZcclJ5Q/w3vx+fBxTel2PM1M4cjwU8+VjgXU4Z8/SHX2GfwoTEN89PlWD8npa/u/EMi+ldeae99jtxw/SDHOXBybM7hecwvDLapPgU/6fabt7oCm8v+Pn5z4JY6LylCK5F3fZJ7LbsBv7ef/NXoBXKrFmpOf/C4vqvV3FXYek6PezWBL/51jpvA3M2zZ5zhL8w1ypbzJS+xfWccsjEFj8mIkvCrxt4D28+pNPCc8NKfmjVYPvHf5z8KLnRdoZqlFjv/ii78Ypskwna/kM8g5u+Pvu9wB4/VcT6UU4dc1udo1Evw5BSWmSuvsH440ma25R+JONjKlqZUj9WjtecBHfDPiVe1tjYgP/1Dfns8+LuiA3OfMF/25qLoB+fqOBqf3oj5EtumAAWZSM19Kmn/Guv/hhJ0TuDkZYcWqTfIlfwcBEvBzS/6W//BXM65QesX+O6yybnmJuS/GRR9VLeQiX2xj3zjmrH+eaK76jb43tLiLWfeYn1A9C5NJ3h6O2PIvnfIVcM8bbgpyURbUtWWBcwrzX3fXgB/3VDqW/0eOU1UtmI++Mkta3MhLch/7lirWQbnZgi3NmrF5unIZV1lKjLhGX+uZVcbcukhlskQ8GjtYMlxzC02BmI+gJuSvsUVtSPvF/+owUlNJgKYU2evf8D6hs3cNhvw2yFRmuod2NwPUuh7Cl630pDC9BF5ws3SigVwQdYjU72Y9+hbPFSgIRMxUfNSjz4hd+w6kBIMnsoxee3SZ+SPaaQy2sAfn+OulOtE3tBhV8y+lUz0745apPiCvGN3W8dZ8P2bciJtmNeRbP/kgKuU8VomdSE3pZGSXQB/+k0x3KYbubyP1A2FbWQiwyKuWLQH+bio/adgcPFnPF+WMX9B3SndDi4WO7hY14t89KfnQw5aMiHxsoMhog+516wRrw14Ss+ygEk/8rPdttm54LHJOtK8A1geSy9VWgKnyu1QnsSc5aDiVyU6MpHzMki9ZBA7tx6bsaHgqz7nNX2HkLvY/DP4CC5775KaxjA2XwaO7tpFTyZc67MUmUeQ3/xcvXgB/MrDf+J9mHNKefcWgHdPhfA++oqcbdSj9Sf4LzWprZdIyNm/lLaqMJAJGhuK77Jk5NFz0n2R4OTp5dZ/mH/gX13qAteMpstpGcXy4YkNbn5GMpG7Tty4O4Z8/5Xjxk7ger1JBmfHkQteHEgoB1fopuMWnkCex1M++hdc+UEaeQFz04AvxHEmMjE/rPWkehL5bW/lvATwPILpQsgU9t4W5wSHwRPcfnAbTiO/1/M9R5gZnGOsg2sG+R2WwwpXwS2/zvuTMde5/b6vFvyCF6tI/jfkAWJ5odu2k4mZEK0Pnt+xvjHcT5iArz6Pdj32A7nJnVPbMsCNSiZoaWeR3+UXHpoCjxEwyPyMecxNrVcyLGSCtvi1VPocdv5TXhT6g49Sa9bZzSM3N/LLew++2dqpIbGAPD4m4TkbK5lgyXN+t4a5w7HNNmvwSF0GzcZFrC9p1y88A882K6+LXELOH98jtArueOW8tNkylmOpNS+o7IB60WR/uHsF+dUIhuIo8Pd+rXRTmPvRHKDrBdevDnYrWcXmzoUnV4TYyIRarlKHz0+sP0dcn3AFj/uxLKK+huUQq1yHl+DD4nkBjOvIg98dXqNmJxOZO85+7MY8oZgv0RicVpWBJ/MX8jd/7I/dB99tU37e8TfypgTmn1PgGTvMHkv/wd7DGc6aQxzQ57f8+PobczmlwOhA8NGPPlxNG8g1dum6toGz793Qif6L3HrQ25KLk0xEPHL3Nt/E3psD3Ulb8Nn5vkz+f8g1H/+zKgZ/VgJTE3MfzzNX/4CvRHiTSylm/u+3GnYnaXPB++ct+O27BXnFJe3mu+DT2z8wa1AiV7bupySB99L072aiQr7Tt8vg4E4yMZXVIdyD+b5shZzr4AfDCw5mUiPf1UTH2AwefMr9oCMN8sAazUDWXTCnqniEpbcir7089+8seKFOHu9vzHc0U8fkgfMU8TC92YY8MfO26Bp4S7jbehQt8kNj/p3q3GTi2vWsETM65JUeoxFx4I8Ey+t30yOvO1ylPwyevPdR+iTmr+ko+MR4yIS9kOvVYgbk7D3VG17g4zU7NK4zIh+5MTP9BrwkPp5FlQm5IPnOKAsvzCON6V46Zmw9E9kzZ8FDPDjSOjE3cpXdzAN/Vs9lkb4dubelssA6uPH7WWY7FuSxsTVGmrvJxNrB5MaDrMg/z5XfSQAfu7P98irmJpb7e7+C84ef4nq1A/l6OZukOB+ZuFF9uTqMDfnt4RuJvuBxzaanjNiRZ1Rd2PYe/JUW1SIXB/Kn+9+Gc/BD7hq6EULCfJ42l8MWvHRP/Y5nnMhTVehKS8DZa96nu3Mhv1/07fQmeAuRwq+4E3nrIQMWfQEywWB08AHlLuQfSqS7UsG/ht7iasN879bU7ClwtqD7UXe5ke9nDwmRFSTDPfTa7zM8yKlrlq/cAs+UY7bby4u8aWDa+TP4ZVG79z8w1zC1u8ovRCbunPASrtiNXInaIdwVPFNXPcifD7nsh8VnNeDcJS3dmvzIU6JpBuj2kAm53bT7mAWQZ+59zHUKfOHgX7cezK3c2y7kgG/3fVr+QBB5tUlgzQo4XybNsr0Qcr+n9YLqe8nEJTlOcck9yOUNo5PiwTkHes+vYW69b4aTBP5zj058/V7kcgxd2RL7YB8LHWvC92Hnf9hQzR+8gkWWZLQfuY6f5Y82cJnJgn9cwsjVG9cec++Hc/iuYxcJ8yvRwk5O4Er6qRK5Isi1674pVYHTMTMcuyKKnEdCjXebMPSrJ0LHj4ghZ6mToDcHL88d0ac4gPUr7VKabHCv0qP67zGXeNbKvAL+yvyYVtxB5D31fvvURcjED8mviqfEsX1xaNZJAJfq4hMTkEBOupHrRwb3HvjDNo156+C+GilR8H7P9WJJ5DbnjtHeBC9xiOj1lkJ+Y3LpwkdwWx7ZUkIaeaeORhufGMyjSJ/QbTLIv188pOoGLqZnZvYR872cjU114E+W3uy+dwh5mezcSaYDZMKB8x3Z+jDyrMyaFSvwRD2rh/tlsX4iIZZVAM4mHHx6DvPfdYpnNsDTjsozVcohfyY8J6R/kEzc2+Nb4y+P7buW5no6uI6rjp3mEeT/llUGv4NXFD3exqSA9Q360TYlcTLxwC88uwvzNTvR1ijwew7LR+8rYu9nkKtnEHyJZvKTrRJyNp2i+QMScL+bOWt9QBk5f9gs5w1wqpzTk0uYH7rUo9cOrv6h17H6KHLbLqcYXknot4s9E0HHkCffyx25BG6ac/KsDoE8Muauch24yQ2TjywqyL/EH8hlkiITZTTtSn2Y9/u4C1qDb3xpeJSpinyQzz63CPzGdUlqBzXkP07RH/0Hrh7CeU5CHXs//6y/GknDvSbCs3IV8+rvdrEPwfvZj2+r00DessxrsAj+rDrWJEQTecx8+E41GTLRSqeboqeF1WNlzmICuFTCtb4d2si38fv2jYHHjbGwDWBeTUH14fAhMuEUzX086zhyXhm1j6Hgf/nivR11kDfcPvK1B/yMsEeWpC5W1yOTG8KHYQ7K1jf/xFyHxlDEB9yj12O8Tg+5f7fb+VZwofuxf0P0kSfs1c3lkYX3ycrKqm+AXOs9aeMS+OXmn3xshsgPJB+yeQWeq0kID2D+xFb943Y5MpHOPyOaZYR8lobV4Dx4GGlpv6Mxcg6TjL4ycHuOM3ySJ5BT7J5xp5YnE1v1BFh+Yu6ktLrTHHyFSXWj1gR5X9DrD0/Bg77VjN4yRf686UTcL/CWS7FvdM2QS/c9Pqd3hEwUCFQ/YD2J/HTcy2MZ4B3xip59mDM23hWbB8/Q266RaY7879FDe1UVyIRuvxyzvQWWJwdSDtwF72gu7jx4Cssnzs0qE+CT6dfjlzGvbXhpK69IJnZNxupWn0auWuKVeBu8WGLl701L5KsMfzsHwav/Pc7XPoM8PMeAX0IJ7jVjGabMVsi9TJx8boIbXCCtdmG+a9SY3AnevdU5If0sNn+FaSz2KZOJT6cVRC9YI19YCRvwBhcf168WsUG+xNPr0gqeJfFYcx5zdbef9LuPwn2/UbGt4hxyy7qJF5fBA/bt0LtxHnnoQPbV1+BSo8LNaheQjyXLK3Ecg3tBoK8CnS12Ht6kszqCc4fS5n7EfETqy2o1uIrvJ5ZkO+TDxSNTTATM98lPHlYXsf7DUj91DjzEiPazkD1ymr3XVsvBZY9eE5nBPOzlFtZtKnC/k+X0LXbA9ivroqIl+OSrmeZrjsgX87LcC8F5bOYYlJ2QC+dUVlKoQr2nC+lTOiPXvJBNZwbO+ick7D3mwUVuzk/B87aw18S4IJ86zdb/G3zgcMeM2SUs3x5KPGmoBu95V9kOHlfkV+mWvmaByx+GKsa8NU/8+iq4G92iyVM35MUT2nw66nB+dus4u15Grh+h2nkf/P1yk9+hK1gePseTuACexmIb/gvzK8o9thoasC9rgtH17sgdZq6qpoD/E6OIDr2K/OfhpYM/wCckNsL0PJBf/GG2X0WTTDSGsvuxeiL/OJQungguWqbt1Iu5wJd3atPgN+QST2RcQ77zfv9FZS0yMZS4fsjWC/lx6s7kOHAZIw8WUW/knH2l3ePgElOUU3OYV4/5CClow9wZyX7x/DqWe5fF/KPBiyosg319kPt0Nk+Qwd3m+LVVfLH5a6BnJXcc+gndCs1WP+QlErWkSPCOsO5XbZgHqO3y+ApuPPXaPf4G8lJTW7bDOvDe8qr5LPyRHxNPb4wAdz1R08wbgNV1aqP/MHiM5Rv7Uczt7Hq1ZXThHqr5eUtuIDbXLIb5w8GpEsaSXW8i51buohkCD3y1vu9QEHZ+hmt/SemRCZLO9uJ1zJ/RpPwJBc8t2yfzKhh5o789wyA4v7di8a1bWA7cLioqpQ+5gkN/v04IctkQklko+C6G0/eYQ7H+lh0dMwBO32ND2YX5XiXpHkkDmEfL1g6pYVge3t5+IBS8jGT21joced2MdewAuB+3Cv/eCCyv3v1GIWVIJhJ281+dwdyg6/LNUHA3+4VXRbexnOw5zzQIbuheRuMZiVxR2fmZlBHcv6pttRSisLm2RDIJA/9WSxm0iTnlOTP6IfB/K9EVb+4g36HX/FHamEy8HaYaj4hGLud3+HE4+LmlC4yGMchdXjwKGQbPLnwmwRaLPOgti+ehE2RCM7JHtw9zzsuB7rfBsymnz2XEYfXuPX/jK/jfuKErF+KRn8o5nyxrAs8pLvMVTsD6f2NPXRS4Qq9jwA/Mw2KMlsngNsF//UrvIk/80i53xJRMUIhd9vBKRE5nbhQRAy6pXWunlIRcebB3ahy8zmTMiCIZuZmIw0klMzKh3zx6uBlzPcrNT/HgClwv2SLvIf8mnmE5DV7UYPfDMAXrk5c1l46dhP6mMP6KLRX7vHfW7iWBF/2SjerDvEP7ud4PcNvrp05kpGH7Yn+DSd2cTPw5qMt6IR3rk/nGw6ngvjF0bfvvY/NiULpmATyfLSngO+b9VQJPtS3IhMCh7wdKMrD8v40v6wG4uC39F88HWP6JEnu2Cr64a9FDIRP5BI12vf4pOJ8fMpg3Mc9X9Bx7DD6/xPz49UPkbD/KOP6Aq1CoS4dnYXU6RGVucppMeDofean3CDl7h8OTZ+DhObOKLI+xPB/8lWKLJZlQFD1f2YX5g1oXl1PgbA7xB1KfIP+nzDReDH6m60ba2Wzkzs1NztvOkAnhCUEqoRys/3Pd/WcNrs8UeHESc8nl648qwZ0bEhrznmJ5idsb8hOZGHU/w3U5F/kjg5gd9uBfE3vtDz1DLmNQ/7UO3PA+Tcka5h799DUcZ8nE1O+xpZo85LfK3J+4gu/Z4y55Mx+5YcpKejO4enj+RY0C5HG6iVm7raHPp8Yn0RYi74k4UXENnK1NsL4dc98d4r0fwPljLEfjipDn5ghv228Dc8RU8Z9ZMZZ7qdU0A8CPRddz7CpBbv7tRnwPuEn+9L5hzI9w9X+XOEcmnvM9l8wqxea4joVZOHi3hcChi2XYXCDWW7+Cf3t7QEq0HHt+Za3RkfNkYm6wa/8s5ouXskfjwB9t5eYqfY7lZ4HyWzPg8ZW/KK5VYPsSMymjdoFMUJ+5On6kEvllT5WFNHBW2+DGDcypYxtrlsFjjoqkNLxArpbunKRvSyZ4T19wDKlC3ntS2T8bXGCvpMzxl1je85P32ARvYoxeZahG3v7OytvCjkys3/Qt+4j53bWC2yXgHnOrjndrsDn+ViSP7iLMndd/d1rUItde+NR3AXzFOe41dx12rqRyOGrBtc0KLo5gfkrt2TkOezJx9bsR5aNXWM4hD7x0A2fO8Em5WI88552S4Htw925hEdEG5K9L2pMFHcjEK4rTpT8w/20ew+0H3hPJcLikEesPnkEFXeAuX4+WeLxGvqUpR1/CkUzMOM3tk3+DfHlz83c4eEQST9JvzHW/Rr4gg2t9ePO3rgl5Gp9esJITmRj3m7AJasbej5fKmSTweYbAGo23WE7OdFGbBy+bimGhfYflVdMP8jrOUF8+bDZtmF/WtVd6DO4rxvA05j3yiKPyBn/BN+w8p0+0YJ9rQsXVwoVMiCUY7OFoRc7061Z6KbgsT5JFH+bPpbf0MVwiE4xOOqHpbcjfar0Usgd3HHcssG5HPjZf4NcA/nZ1sV3wA/Lr40Oj3K5k4hLN2OQ45g2DOqeugV/wU/z9tAPbxzsrgx/Bvep/bnX5iNVd0bCrmBuZUFXgZJL4hJx3jYY5FJzX+B7jIuZhu91qv4KLulynef4Zmy+9nD6Kl6EvLb5Y8+pEzjBEoZEErqxjNqbwBTkt6eDuBfDz/XrvNzB3S02n1rtCJn5ty8ip78Jyb53B72xwSiWtgOBu5MyUGpsU7jB3+jSNNHuwnMATyGL1n2um7aLtRc5T/0/qBbjRlOpwK+a6WW9tdlyFHLhHKS26D3mSV9d9V/DX1iHGxv3IFZZFp9+DP/7LQ8E2gFyr7Z3qXg8ykWRH8awb88SyomeB4I1rknopg8jbrL7yD4IL8DybtBxCbuVv+UTOk0w4yTj77R5GHv5OQD4BfHeWOx0J89NzMn2z4Lda6+IejSDPexIfrnONTDxhNWC9+BWbgxlHNbPBzft3RwmTkB+IlGfd4gX3mhCJzRnM6flufrcCv+3p71xARv6OfmdXFfgdRrpPbqPYXKCkaGP3hs9V9FFCegzLq5VHPl0BX6v+GLaMeVzv67F28KDEbX0V48gFd2bSiF4nE1vuXxO6PoH8pUiHbCj4VZmd9oqTyCWqjT3J4A+qZh9tYM7nL9x41Af6f+xK36sp5CuCprxp4IKcB2iDppFPneoK/Qk+URgrpT6D9b3P+X9NfMmEUqWACc035BvKA7eKwVtjhi69wzxC59xORj8ysZncePP2d2zuPD1W4whOK9ERrfcDm1/UXpeawUfKKBKZZpHbsG47KHQD6ijE4u5HzKlvLP0KAM+l+BwVP4flw+UjPYPg9mEu/qbzmO8bbDjiTyaiPPY5ciwgl2rof5kE/m3fX71ezBWuyjYuge/+syCSuoicZmauxygAzpvxv03LJWy/Orf+KQA/fmt/B+8ylicH/MXpA+G8Ldglj2DuXWLm5gB+fqXK4uEK1g//RdU1gZO+C+y4sIr8zrW9PEI3yQTHofTmPT+RG7ziCw8Ep9y//+oE5lZhfluGwT0FGrieriH/4qMUqRgE/dzfodJxHXmKho1gCvhiKreh2C/k1glTb1fB3T72jnzH/CFzt69pMJk47ZPhWPgbebadyNFS8DNLTt/d/mDznRhl2n6LTJATlRykNpDT6VLNXgIXqmEZWsT8h8SdgVbwnfVTOuV/sXWm+PeIhEC/+v2qxHMTuY50HykMfOltIovcP+RbH9//NQ6e5+/gtIZ51r02AfVQMtHgLVtTRfENzamqi+ZZ4CzMf2l8tyDPKXZJ+wcun1qro0SJ/Om+kR9nw6Du3K+GbWBe8qbOoBbcbZ63to4KeYQMQx13OJlIda7+FkCNvIb7naIPeK+izg4VGuRP9i697QXPffFOZstW5Pbrd87LRZAJgyOH9V9j/uNoCn0S+Ge2aOtb25Av3Gd/vQxOk/XJSYMW81rKCJPbZCJA7q8rDR1yBU1bq1LwdDFWl7eYDw/JESyRkBO+0J8Pp0f+SixA6jI4bfi00XEG5MHdClId4ItpufJ0jMjTbzkfE4+Ce5ydzs5WzDUHWc7cAb+i0LIYyYQ8JFg87Du4utv+Jj1m5CL8jfW6d8jEtIVNLON25K3m7dvywOd0r5p+wPx9h5E1XTSZeJZ+liWGBbnJQf03juAyD/jfGrIiP8X+Wu49uGNOpef2HcjTDpRVCcfAedsmyPsJ80zO3Trh4IqcZ2vj2JBX+lBNT4J77nU6eYId+a/1i0lasWQiJVR9ipUDud4RzRM54LZ3vrl3Ym4xmMWzNY5MWEVZrSZwIo8PvbFyEby96567KRe2jwPdg83gb6rTJtl2Yp/3RtHnffGQc2JtzbowL2be1hMK7v54oTpxF/KJQ6TpCfD9OircJ7mx9cQo0mslkImLn42vcvAgl2jgVMwB3x0t8KYb87Mu165vvUsmtn0oZEzmRf5A2qLZHjyd/NPQfDdyr+e1Au/A+Xl+3+bkQy6dlBMpnEgm0loq6nowH/PkoIoAH1IW+ZbMj9xxhS5yGty7yWi7hQByp+ch/DpJML+KxcS5BJGfOBn25hn4msEL9V7MT3lv96JPJhNjs8sm94SQ+1YLyLuAK4+MWFrsQR70qnprO7ivq9cZrr3YvguNjB+8Rya6ZqrMejFXDI/6HA1ukPVE694+5Bcj37TPgeeT5aUt9iO3bgvrMUohE37rV9i5hJH3THfPlYCzHTJc6MFcLaiUY0cq5JmRD03JIsjHZbj1PMAbtefizUWR16ezxHaBn6sptOAUw/rS6SSybBqZ6Ayl5+zBXIT+mdo9cN1lyg9JB5A/09UvWwdvMkq6cfIgds6rAqUs0yEnTNbv5RBH/m9eva4G3J86qLkL82sxqad23ycTccs91okSyA9KBVEGgmv/q18wlUTu4P6nmgR+46qiH5sUcqk52mC1DDLx8Z7GZifmp9XyLJ5k/PfvM4d8EqSR36AjKW19QCYOCG2ZOyGD/M9InoQjuAlPiSXrIczPMki1gnfPTdV/wtxNkFLlYCaZkJrM2R13GDldU6x1DHi+7ncPI1nkOqTnUQvgxhfLXzPLIb/KcvWdyUO4Fwf8pevAPHbuHWsFuDjpnU60PHJP9hfOXFkwlz+zBOsfQV7Fo9LpA56d1lPGoIC8OsP2+BD4yi2uoVbMHx0S+nDsEZn42/X5721FrK69bpzLApfrptqpo4TV9eZVSurHMPfb8sVolZGT7LaW24NTUryXfYe5nar81RZwuypzhbCjWL0f3Kpy8AmZuK9kLqt5DDlnnQdvLPiWT02i1AQ2l6NublsCL695yPkG86OS4ltOZpOJexrTf4JUkG8c86WrArcqSe1XUcXmxQlHAZ4cyNsa5cX/MD+xuaYZAL5D61DAKzXk9IOivmTwY7+5NP3VkYsHbNZqPCUTtdk21MoayF/6ezHngnNF09b+xtzzcoIbQy7cs1ZYLr3URP592mTYDdxXwJv9uhbyy4FVlp3g/mYKFXLayLnev5mUfQbns+uk4Srmry2uBaWCXxxr/Vp+HDnrmw9if8Fnm5Kdrupgz3/wYfRcHpkYrXnxXUoX+7wB1541gW9jOGg/j3nPanOASD78/MpiX6Ee8ujU+gt3wBtrtmlc0kdetHHh5AJ4dZbLUzED5IFlJeZmBZB/pnmoZjCnM3xmXwV+oJPT4qkhct4LBqG8hWSiONPy8UUj5PpBGWU3wc8nTEztMUb+82ja3Di43PeKvaOYy4tpKOgUkYkf31pOPzyBfKU3PaEQnKaTP9zaBHlfX9Zv1mKYI6SKAl5T5MavzN29wA0tIlsHMI/fVfNzANzuWjopxQx5kt/HSKKETBT5Ts2Zn8T28Vqi+BPwqJxLq+zmyO8n03+lLYX3cER0pRNzlysyma7g/m483+MskMclMLp1gh+JUB0wPIV86E6qnnwZ3L/epDYynkY+Odcvfx+81EYoqxXzrcc7ZLaUk4nXqf3XIyyxPiDsrWwP/rW47rjWGeQfeLrN2sCffm1nobbC+nz5tJ/UczLhZU/zuRHzcwFlpUn/edDF24FnkfPTHfr5GzzR9bvCUWusP4w665yrgHuBQ9Lob8xN7lnmN4O/yT9/q8oG+70VlLz/Y9NMoHL69v//KWVMksyzBoWIzOFEKmOKBslUSJKhhEJIkkQUokGmMidTqRQpZWgwZR47j7moJImG/77rvn+/vddv/e9ad73W63Wfb/d5ztln789Z9/ZNLpb2r7HqsmY+7z55C6L3sN7QaFaCsTPv2Qs3Gvxm/dHuLUMrhH5OfUau01V2XtjlXj3vwnumnex5k/UXe7QHeiwQ9o3cfv16pxRLuzYcPGawUJhzSgdV7WQ9YYa22mehN7Wtyv/Jepl11rK4RbzHb/e+PDO1WLpzftVtZ1fhOWp78dR11n1PDunYfbFwjmw7e04njT2nqxsveC30eYsW3tjBuqnNh7hIN2FdjX79vpz1a6sL3tov4d0zsk1rh2vs3OycqaHlLuwbjVpYZ7B+eEPayIdCX6WSfUg7vVhq9zBtduhS3m17j/obzPp7mxtrJnvwPqBqzaJy1n2G5W5vuox3i+pV7+wziqWOaQXhOUI/kmzslsH67dZF+7Ys571RenKD9nV2bq55FiqtEOau3XXxO1g37/50c63QH6U1dapgvc6s0D11pfD3bz3vNvNGsXSo8/Upazx5HzpkecV11pu9Oa5n7MV7n313H+lmsved635/yoT+0q0kayfrt6snZp1bJazzkUU3K1kvyGi8dYm3cG7u3np/1s1iiSwvjdZbzfvgstqSm6wb3p1UJgs95N3o9gZZxdJn38KDh9fwfveTpc0e1oNCTUbOXsv7ix2do6pZ1xu153EHH2EetkmtmJvNnver9xY+EfrXGz1n5rL+aMjX72G+wn+vk12B4S12/pZ8XW61jvfxp21t9rO+pkXe5+brec837PGhlvUheTtm3hZ69LKUwIU57P1xbu+bARt4/1HadWg+6/7VsT1N/YTncYBNlXFusfT7XplvrdBfpk7PjmZ9e4sO91I28p6krn2k0e1iqVtpW83Vm3iPvJgVspT1BYc/2wzcLJxTuoO2PWa9wCEk+LvQHb977ja5w+YHy4aU0/68bwvZcvI467lHxr5ftIX3BVsWFra4Wyxp77du6BkgzIczOqh4sz7Gvk+7t0LvuSV2wmvWvdoW6ERtFeai0Oro8ffYe02jYX3tA3nv+Fe7/hzrrtNdDTS3Cc+Xhc6KtnnFUsZAx+6FQi+t/PPDj3W7Ry1b7gji3TfgmN8n1lcs3PLTfDvvM1b37Dwtn63zDkn3lYJ5j5i45vZV1qu6xMVlCL375qNbehQUSzeOTfX03cH7joPHpwSznvM8cciQEOGc1fTT/cm6/o87FeVCN/fo39KpkO0zrQ/En9vJ+wHdlEa3WHf36mDjtktYV+mdmhneL5ZWjZn8SzuU98kX7LtGsK4TZ7j7ndCHbfQwbWA96GFGz+jdwtwVN9vL7QE7l3/VnLXfw/vpI70vP2TdYeR7Q80w3seUFyibPCyWkh8sP1kg9Fka1s5xrJ/8cLxDcDjvn/3OF7Z8VCxpHffzH7+X951JXyetZT1x+N/iBqEnGSs/fc965cP2I6/tE5477z8rJj1m78XRRcFr9gvrqjK/wxXWpcz+DwdGCOeC4eYHXYvY55fpaHwXeptDmgeCWJ9ZcNni1AHeHTK2elSwPkntlfeCg8J6bvbM2ulJsdTZ7mBUt0jhd/1rNj6H9bRHX6++EPq0Vt0sBjwtlp4nFuTvi+L9XkYbh0jWq9uNezEtWrjv/iVrGj0rlmYNMn/TPIb35Y/j45ex3rLfk+c5Qr9kaKZ4xvpHw/K8zYd4N212a8C452xOdt6XbBLLu+o7/ZBzrBuV3zj4W+iJvb2q2r0olgY38vS6eJj3M05HlvuzviY73szjCO+9Ky//LmH9guNstd5HeW/lmrDL/iXbT36E5xcLXaPfLuObrD8/bbk15hjvB9NnfOn7qljqecXH2OE47w9Clc5FsN5miM7L1nG8n+h4YKPS62LJxnaCT77Qsx9rzfd4/Z//PUvRMiie93Dj9dbPWNdqURk19oSwbhPvTRv3hj2n5au71wo9Ib3R3ATWlVu7RyefFJ7fh3rrO7z9z/xcoO55iveRCwafDGB9QHSsb9/Twtz4qZ/8g3U/m1evPgrd66FGv1nv2Pn1yn/IkTO8Bxx4vzWH9eI5e7bNOsv7xoSYUqP3bP9pULmvdY73wCDzBTGsP1e8Ub8v9HWRr740KS6WpgzsaBGcwHud/Ty/Vaz3UUvyNjvPu4fxwx7vWK8/mBhVJ/QvRwc+niQXS11rG6dcTeR9Slv/fcmsH3dMzfe8wLsxZS7spSiWvJ/cet73Iu9/in6YhbI+Zm/v1x+FfkVVfdBf1r2S3z09fIl3E5VuA1w//Of/p1pyx/GysN7GdTd5xPrj1AmX2lzh/Y6Rpv2Yj8XSg3dV4QVCHzS2etMZ1p//LncPShLmhw+FKe0+FUuWPYePHJsszIE7IimAdVP/u/RP6PXHHRzKWE8Yfvz6lau8dzvaLMPpc7E0fkn2quUpwn2pSBx4h/Utg/V76Kfynq4yOWnwFzYnX7ufXSz0ppNeWR5lPbN7ytzoNOG+GDl/bfm1WDrm/67c9pqwD+u9iVzH+mel8evU03kfHT3N8TPrVZmKv7eFvrA2pbftN7bPvE338s8Qzs2Ujqo3WS9eX1A88jrvWqO8KgxLiqWVV9tM+CX0e1VZpVGs613cFZ9wg/dl09Wqm5QWS7bbR/x1zeS97LqVxmrWm81ua9HjprAOT+4YLrOuP7l78AuhN1qXuWLad/ae7m2XHZ7Fu8HR8qR01n9VJf2anM27XXDnFn1+FEsWP8Z0Vb0lzJ+xY1ccYH38+h+jrgu92eQFskpZsXQ5LWvG2hxhv/q3eaEX69r3Up2Ncnlv2zG66h3rX3Mfun4VenKrS/unlrPrUNh0wbHbwrw3MXf8Ndav1862d7ojzNUDnisbVLD9cEW+qdZd3g0Nv9yPYD1knF2vAqEXn/l9VuVnsbQ2vOpv4D1h3tZUOeDFer/1Z++NyePdKF8j7D3rmzusDqsWevjYrlFWlcVS423W0y7k8/78pcGldNb13pmoLCngfRQNe9HnV7GkIg250LOQ95SO5q0iWd+fOXLGS6HXhdraNqkqlvZunPQ9/D7vG24vOrWadf+9LhsnP+DduY9viw+sn+vo31jlIe/7uu32m/6bfZ++cYHpQk9rfqo+k/X84rv/vB8Jz6/drdAB1ez+OpS7GT4W5q6FHwxjWf8X17bgo9DtDjV9rfaHzT8fhunHFvHu7jowcj3r2YZ26+yf8H5RZ96ib6zHRC3NVn/K+5DR4aaONWyuMPNtdFvoN7Ty+txhXdV0w8hNz3h/2qq5zrC/xZLaaS+3Yc+F6xk+rd8J1sdFzNpVJvSFSjFmbf+x+ar7oNMnX/C++0bZkq2s33KqvjbvpXBeG00+XMn6fZdTOe1f8V5x9bzCpbZYCphslntf6ONSOg17xPqVfrkZQa95t9y3O3JsHXt/6TrgnPRGuF/nW7a4yPqDQRvCqoWe4LY/pEd9sWS19eyyxLe8q+j27ryH9dW9r5kufifs/+OzUxtYVxl0unn397y/MHBfvKKhWNqWuirvqdATB3fRecf6pMcdAkKLeR+b+6LMimRp2b6IgRYy7y2l4/eus/6odcnTOqFbNfhc6a8kS3rztVYlKYT50NUpIZb1t3s1Gi/7IMwPTyYlqSvL0tCbb3brfORd86xl/kbWh9f6arwWurrF9J8/WE+aqQja+4n3SNWlvec1kqVx39r/nvSZ96kTwpfe/0+/1dZJ+Qvv/h53rksqsvS+5mVyqtDNH7TseYF1zdhFzTy/8r7ooUt4D1VZCsu+PF3/G++uBbc1w1j/sCE7/J3Qg3uOPqbUWJZmvw6/G1HCe26fbFMv1tV/da+eWsr7E/NZP2TWXz5x66z6nfde95XPzmgiS+57lw5NF/rzXhlrbrE+ZIzehFU/hPsbE2wzpKkseX6OsO5TJlzng24mJ1jXO3JtWrHQv3vOGty+mSzp+IabHyzn3S1g3qjtrDds6ThoWgXvpO8zo4b1doVWbRv/5H1EWpyve3NZinQ3KksX+ox9H8+/Yt3bLf3GqkrhOmuYVE5pIUuuz8q39fnFe1ZQvMV11n/n5o0vFvpQW93TA9RkaYXF5JoDVbzfLkzrdJT1bwuXxVn95t3W2jVas6UsWQ40slCt5n31QP2+W1k3Tgt7e03ofvfYUct6F/U9y7z+CJ9fVb52sbosjTcxqNSv4V13a/XgF6xfnOa04p3Qm9q2U5rcSpYMHXXk/X95nzly6ut01h0WbZk85Z9w/obG5PbXkKVQ/1VnlWt5vxyvknmE9fq0KqVUoec/C7yj2VqWors1mbaijvfF63q838p679T4cN163p0URY2rWdc7cD//ldAHux0ftUSTXbdbW+rCGngfPnen/yvWw6wydCZQCf/7nfY8mdpGlmokv3H1QvepOD88k/VncZn2V5R4fz3s65lBWux7bg90dlfmPX2s1C+e9ZDfd116NOL9r8vF9PZtZelyTcisp0IfUCbN3sH6u5i7E3aq8H5+REnzOtaTvm02HKfK+9b9l++saCdLB78nNv0jdE+7yP0y6ymJti8TGvP+Ky/G0669LLUxWXZsQRPex0y+PvsO60sjq+d3bCp03Xp7kw6yZFVU0fa+0A+cnT3/POttqhxvbm3Ge/yAlz49O8rSK5X+C0Y2591Pee2RfazvVfP4Vyb0Um/jZ006ydJ3Lc0d8S14X/OsVdf1rC/V69bKSY13+3VqXj9Yt5kYukOjJe8BCQZPnTvLUnLg/NococdnLp74hHVPRfjC9eq8aze6nTehiyz1c9fONmrFe/tblnPSWZ/eU6PDJ6HPmP6tbkBXWeqh4bAgWoP3BbXnE46zHjX6d5x1a963a0R4tO/G7vuFkteqmrynvT48MoT1HSuGtLgm9ITz+e0bWP+7+eGAlW14z33cRWVVd1lqVJIxSVeLd73IPQ2fWD90+Y/TS6HHTdZv7tRDloLfb1qwuy3v+cM+aN9nfcpaG+fx7Xj/ePrWFLOesmTit9SuRuhfv9/depV17+o86Xx73ndO+5XXt5fMjvCVPRZ04H1Yp/G9jrCuN3tmdfuOvKtHpgZpacvS/Wmbb+UL/UM7u9rtrHe+9ynIvxPvk9+221zHevv7wWOHduY9aESDppeOLB1zWVzxTej7vNSTPrE+d7vfgcNdeNd5PN7VSVeW0szuGdt25f1Y3DG9B6yXHpic27Qb732N9H+P15Olf0ENVhlCP3j9SVEq6xfafSjw7M77qoNns/r3lqUTFtXj9HrwrtT4zI3jrI/qNOz8S6GPnPYwr4O+LMXuPdpqd0/eC6/1/LyL9Zwrgxeb9RLW597o1o0MZGnlph9XqoVu20Wa7MO6flX+n7PavBvHqu37zvqE9oWD5uvwPnGeSqlLH7bvfSpz0dLl/XG83oznrNctNAq+I/Scq6vuTu3LzovwXfEb9Hi/+7LEKpv1ZitUU4x68y7Z7lYM78fu77/9mR+EPmrJ3KDzrO8bPvrGQX3eQ+Y6jtQxZNdHt+byFAPez/lsro1kfcnN27HUh/dn/x4XtOrP/o7ayU1XhF7d1/Z8IOu1qvvt3foKz9EUpdh/rJ88t1u7Sz/erY++ivEcwPaThn2f7gv9u4fizGfWP9ceOxxgyPv4nx3uzDGSJf/jV62G9Rfu16oNvx6zvrziQeU3oV8xVjeaNFCWzn8oDY0dwPurVYXrMllvtr5Zj+lGvD9dnVE0dJAsaV3SOak6kPfKda9GJ7DeN2iUTqrQjW7pJ2sby9K6aqsDHoOE7xkePzqK9aoGR+phLKxb3elFGoNlyemQ07zHQp9yvf+6INaH5ttc2TZYWD8xJgPqWX+5fWTDiCHC9a/3qfQeIktu99uYfhe6t+7n3BLW70a/WnNkKO+1VttOuwxl59rX3cdnDBP21TT76Besn7jSP7fxcN67xs+MsR4mS+XVSW9Thd7Daue526yfPK/93WME7/LPirwxw2Xp3OPVFd1H8v7mQfDfJNZPO58peST0Ubq2ww1HyFKHGTdeBZrwXtzPJjCOdZNjl24OH8X7PB3/4s4jZanXxC2HSoSuNOHDlL2sHx3bb0XsaN6zH6+73dxEllwCzw+1GSOcU43Mbbawfr9lk1+NJOF3aZp9q2Fdr8j4ZLLQR5isDvccJUseDwdZLzHlfXnqq4lfWV9er1TWeazw3N1eo+E8WpYKZxwOKBS6Itbi03PWf9xtqu4/Tvj8usl51mNkSdlxVKixGe/l4YE37rDerGaYyiehW/SqyjKVZKngaM2Kg+N5H+cc9SSFdXnSpoeTzHmP2b662shUluJKcvXrhJ7xYJv+adbN1xeuTrTg/aZnoVvPsWyeKd+b4mzJ+/rjU1IiWb82rm1Fmwm8exxSaq85TpaKF1t3zxV6fsT3rTtYD7Q3M/OZKMxFuRrKjcxk6Y5K6ew+k4R1vmBp6HrWo9wmeLwWuv7xOoNfrKeutfcMncz7ovTbRR7jZelUby0P0ym8H/1wN/Qj6xnLNs3+KXRzG5WZc83Z+SVFjIubKnz/YWuNnrEes8e+m72VcP7m9epgbSFLTR2ulzWZxvtAsyat7rL+bFtecqrQtzzUaTvOUpYctTasWmrNe9aZ9X2usX68skC3qw3v25TVpg2eIEtHOtwoKBR6Z7WnWxJYr1kzdenm6bxv/vsiR2+iLA1UXls/cIYw51CHDkdYD04YEaQQem/rPb4dJ8lSR4+9qvttheers9m3cNYzjbb4WtjxPnO/kbvaZFky+NFIUS101R8zawJZz49oN+60Pe9tHNIPNLD+rUtKxCwH3ucrOZn7TpGl/V6f3reYybtv1yHKlayfCj7cI0PoR19NKvSYys7ZGcV2yx15z1sac/oT665Zpzd3n8V7dJ3BvvlWsnQ79/eRB0JfnFm56yXrVTa5yf5OvA9X1ETYTpOlLNt2WYNmC+fmvlGJhaw/v/EhSyH0gEbpTydYs+clYEDqvjm8B87xaZnN+oI9v+LM5wrP1wPPGaNt2Lp6OnDbb6FP2nHq1FXWo8d/nH1yHu83rnZpOWi6LO3MUzOYOV/YJwMLN59j3WHWiW9NnYX9p+f1Rr1nsHP/feLRVKG3Ty7Zf5R1gym9rdxdeF+x0mFYF1u2b+xqXt5pAe+f1it9iWB9eZhDUJ7QnzX6drK1Hbv+lmpaGxYK84lx67U7WTeL1Yvot4j3P4PX2jWxZ3PalriWb4RuZdzFbAvruxUB63a5CvdlJpnWsZ6bkPV69GLeWxdqT/FxYHNC4dzBP4R+J2Pb4krWXQbb+8e68X7N2iB8+Uz2+Xsnsq2WCJ9PbJH/lfUDm6z+1Qt9c6P+bRc5sn1+zGT9RHfee3rvWfae9SZVUZPmLRXWlYHxE6dZsrQ21MSllQfvuye3m/KM9U7VfVbcELqV0shH053Yuuq02HPFMt5fesYuLmS98cfvbt2XC/t/tpnapNnsfW1sht19oed17ZOZw/rdTo+HbVohzMPxNgFj58jShtmGrQas5L2ff5pdButGFXdfvRX6qycLh42YK0sbs08cCvXkveCOtX4S6/czbtqO8RLu+8aN+gPnyZL9vQ5KP4Tu0+XHsATWWz4+fezQKmHfyDlsbzCf7ds3vUZM9ea9Knbv1njWu232zKkV+ri8uzd7OrPrWX3c4txq3psuH6cey7py66YZTmuE5/RM3ZJOLuy5TorWb7GW95XH/hVFsB5aODs4Tej1PqOmtVnAnnezie+W+PD+flrm892sL6if26ejL++3JgR5qi2UJbVP0e53hK4aGNYxmPVKue7w2nW8n9d990B1EZs/X2+5p7ee9w2TVx7Ywvq2a/rfngj9WTvzZQ2sD3f9Xr91A+/PT86ZvsGVPb+3CpsO9uPdsluaRQ3rG9PvNVEIPTpy1qQ1i2Xp65B3/8I28l4zXJpTybpm++YfTTfxPrSz26aVbrK02GJidpnQi+Y+ufCd9V5noiJiN/PeuFdQhfsSdu7r186d6s/72S1+Y7+wfvrE0i61QreLTTmyyJ3NLc0/F57ZwvuY8OGtFKxvG+mxxjGAd9v1dTvnL2X7fKcazaZbeR+0pkmnt0v/s3+GxCULvcdh+2QnD1natbln30WBvLfVLHF+wXre/ZQTbbbxnvztVheHZbIU7jKtfZbQZ47/8KmI9e5dFRtWBglz74iJmdOXy9IWheezbtt5n/6p8tQD1g9E1ugVCP3qgg9HrFbIUnNtn6Xrg4V9OL/TqXzWpy4oiTPYIewPIw5cn7SSzcOjbR4/E7p2juOHO6z333/yd2AI7822u3S09JSl9Cml6oN38t4o+uKcHNabWXbtIgt9WzvLi2ZesrTddXi3Pbt4P6eprZXF+rZdJm3HhPJudtJ8m+kq9jzG6iiVCj235HyTG6wbr6sojtzNu2P13IOjvWXJp9GRq5Z7hPXz3m54OuuenftvqRJ60vW9n0euZu+/xyPHHg/jvf/JDidSWd+94X2VdTjvnS58WDV8Dfu9QXS4XuiNyqqtr7J+Mb561Lm9vHf3nT566FpZ+p2cfd9xn7CuFvwansR6cbSLQ5P9vBtlvTEb7MPu4+BHj68IvfK0+tzLrDd31jB3iRCuZ/+goEG+7P2aOp9tdYB3/wWWmRdZr68sU80Quv7saU0HrpMl94677NwP8r6s7+F5F1hfZl0e2T6S91LF0NwB62VJxaf941tCrzjQblQi6z+Xk5JXFO9ejmNu9t8gS0VtTmt3j+Zda+R5u/Osq5m3MskXuu5k1xpDP/Z+8d7I0jdGOC8OuZ5LYL1rTosJeoeE525c4nLDjbJ07/6h0Y+F3m+iqWkC66vefui9OZb38KyOPQ03yVJQ4dvGhod5V79u0jqB9fF+wS9fCP3fpBMahptl6dJt+di2I8Ic6OPYPYH1hB1f5hkfFa6Prd1oQ39Zen3sYOv3Qq//EemewPrV0vKrO4/xfsi290nDLbIUML5s+ojjwry9t+5nAut228Lkj0JvkdrFqn+ALLUJfeIaHifM/4+2ppxnfemw1Hdj4nn/VjJk0ICtbF3NGTm1ROizNY2uJbKe+do+8cAJYZ+0WTXDKJA917vVGo8/yfvepIa/F1hvZ+1oUy5034lPLg7cxub2vyPDYk4Jc1qHX2svsd7aLTFnwmnejQ1nTzUOYvuA95Ufv4TeL7zloCusT/5jqXb0jPB3bJrqDdnO9snCxd2mnuU9zXuKQTLr1g9b69YI3Uf1pcmwYFnyemHWI/4c7+lqF+eksB6V+a+VTYJwTu19GDpihyz9nTfsV63QA46a3E9j/eCeX/mnzvO+XSrrNipEliz6DoyyTeS9zepSvwzWzzYtcaILwnqbaFw6ZqcsDVHqoXlO6J1uZS/JZL3394J0h4u8e5Qc+j12lyzti/vp1OiS8Lzn3AzPZn1WQ0jZeaHfchwwxjyUzclPDqyddZn3I+c+/cllPaCuzS/VK7z/zP6cNWG3LF2eVr/wotAL4wbF3GP9xTHbe7OThPlnxu2tU/bIkqJAS6dpMu/3n8RvKGQ99OQor8tCX9m/MMA6jJ3Xje9dmXuV9whn06hHrN/LTCtplsL7aa/aG7bhsvTxnFr7JKGnL1Suesr6pSMZQ+en8h48cvoIx71sH/PMm9QiTbjvv0t2vmJ9wW/jGclCPxB1v2zOPnauNaqa5nyN96P6dc7vWf+1TG2sWrow/x/1Vrjsl6UlLXz0rgr9TJOh3h9Z33JhCLlkCPvkrLFabhHsPXGgWaHadeHvR0Vkf2O988LYPVeFbn1nyJZlB2TJubO5pcsN3g0V3azLWX/Sd8hPtUzhun2zMVx1kP2uJR5hV4W++01hx9+sZ538ouNyk/fbafvb+kay75l28pxaFu8HN5/oUcv6H++T+leFrmyoZLIpSpamnfl40Dmb90sZ8QuVo9m5bDi/rsUt4foM2HcokPUlD7Xsk4VetDn/Y9MY9t7npnR8fg7vJeesRu9k3TlH+0PzXN5DLnSKa3WIneNpvh2ThH4uyKjTXtafdlAym3eb9++Gew63i5WleZevzm92h/fI2BGDo1hf6hTtdVnoR4r6Pe96WJbWyKd95tzlPebekpCjrOd1LPZqco/3h+vKp+oekaWQR2OcLwrd4F1m99Osn3iTaeaUJ8xLFS/J8Cj7ni0WdVLN533UmTEVF1hPNDT4eF7o7RqVlg8+Jkt72rSIm1kgzJ+/5IYU1k/vauqgXCjsh2u0u40+LksNS7vXnxX6+s0Jk2+y7rxxaqTdfWEfaO6/3TxOlrz37dFvEPpQtdiiu6yf8ft09tQD3uPWqxhZxcvSxGZTtac/5H3XtCtRj1h3a5wV+k/obTcmaDmckKUvZmY/4h7x3ryu7NAr1rfvKRxr9Zj3dzfXD51/kr1PpTkHVwv9wk3rtx9Ybxr299aRIt7HVSzfv+SULHkUR/ya+IT3hvFPnX6w/tN3cIdKof+7sG3gqtPse+o/HBDzlPcy/c3t/vynp7mbmD/jXTqS1dzvDFs/dfUjfwj9ZzMrdeWzbN6+HtL/wHPhfJnZq2cQ62p56u1MXwjn+0bJTO0cm+vKAiu+CH3H8njvMNYH1/zIDHsprJOOtkntEtj79RXLrSNfCef1ysmqMawnl+4yUQj92MKQhT3Py9KgFTc+hbwW1v+nNo9PsB7Y5GXg4De8L/r8wbpfoiyt9n/V4Y3Qf9vVv7nIevypm4cD3wrrqtf8dcMuyNK6CTs69X8nXB+T5noZrA/pZxz8VOgt99S+H3eR3fduaSUb3/PevtWws3dYX1HSZVzvYuE6nEjdanVJljbNdtx5X+jG47cuK2L98Khl99bKvO98ErFo1mVZ6mlvX9tdwftFywqP96wPWKXZ647QXYP2BrhekaWbcw6brPwgrE9/v9OlrB9793dCh4/CudYj8a1XEvueWb0mZQp9wnR97RrWo+9rSW6feH9LX9dsSpYllweFvTU+876vfcUL1auy9HyXlUqK0Nv4m07ZyfrbB2FF877wfqL3swLNFHYfXSIONvnK+/iqK3MjWbdrPss6UehBj1/Ud09l9yvs5T/7b7yfP2t+/gTr0zLbRtcL/YjrHw/DNDb/zG3W/0QJ759KK0ZeYX2d8eUrU0uF66k3qIPJNTbPN2k9oEroz/+lqGSxfuxoj0Mx34U+YxtNTJeluXff1Zv94P1B26gWD1jPMJ9iWyL0IP1fug4Z7Pu/WXAovIz3pV77pr1l/ZWDzssR5cI5/mLd9kXXZen7upDmxUKPMjv5oJT10S0P9N9eIZw7+zvqe9+QJXoy3mLAT97jkx6G/mPd9GC4zVOhmwfdVwnIZPtzl43WfpW865Rp7mh+k73f6aua6fzivf/D6G7hN//znq5rkCf0vxruWR2zZGnjt9fKXlW83wzzW32U9SV9DR50+M37vKFPhxlks/mwadOwG0K3L17V7CLrb8zXmrtWC3OUt/234bfYeXTK+7vaH973P/J7mcl6QFXd9stCb/v664sJOew9pVyjw6wa3hd7RX15wLrunLNR9Jf3sWt2N3bMlSV1ytM4KfRGd+4YF7OeFrNs3dR/wvlrabFyyW22L/3e86xS6HJRk/QK1hc9HKQfVSvst1Yt26+7I0s1ZdYepnXC9dln7698V5bWt/16/JPQv25V/N3B+i2VmsKd9bzH1l0OaHOP/d7NG78PauA95fXtzjGsD5u8tuG50JMbumXr5LH3/d7FKpuo9H97qlmqbwLrx56m1uko8b4tMEIami9Lvp0bvt4TetDRZK0brIdcPX93pTLvt1d1rLEsYO8RHrkx7Ozm++qz66UPWD/9z2xButCXnD5R5ljI3jf1dLu6qPDeLvuBkoL1nwmL7zVR5f1Awyhtj/uy1GJGs6UJQu8zomRGFetBT5s0TG/M+8WJr/ZufCBLtX/mb/sj9uYtFU0esvfldZpKsU14n2a3eWwY66ZdOq0wa8q7g/KQxE6PZGn+odUPvgh96Lc+/eJYb329l25oM94bPjinGD6WpZZjui8zbs67y70XM66yXvza7dRzoad6htebFsnSV8e6p34teP97MSTlHutO3i//9FLjPds5x9/2CfueJXUt7wjd1kGa9Zb1FX6L2i1ryfsut5qxbk9l6dBXdU1Ndd4r3CuH/2Td8kc1XRX6aWNDacMz9nxN7KZwasX7xgMnbBs/lyWrtE0ppMH7C/d5vntYf1LX0T9e6Pf8HRI6vWDvuY++jZrUmnelC6Hlcay3qCor+SH0h3dUzAa8lKXX2r1D92rybng4NS6V9T+dQ7WHt+E9QTWh7fhXbP1H9Tr3Wug7Ct/uL2R99Wy5t78W74fzrHQdX8tSTLe8CN22wjosrM1WsB516OWfu0JvfOqL5/I37D1uv7rV8na8jzDQHFDDem72wgjN9rw79/L9F/CW7f+Klw+ThR64oOsz9Xfs+bqwnJw68D4pvf5mJOszP3ft1SD06n9d0nXey1JXs09Dj3fkfU3F2pxE1hduyhlj2Yn36UtbvR1ZzH6vQ+qIEqEnD1Oo5rLuuu1G792deV+pUznKRpalfrefNDXuwvuP+jEBr1nfXlTz+qnQx+3Lfb5YIUsdlhjErevKe5eLwaMrWTeXXOZ268Z7Yc/tFzd+kCWH1sdaZAl96qWbg5t/ZN8/8tPZRd15799/6O39rM8KM5Sa9eA9bv5Ht56fZOnvJe+cc0IP1rrfMYH191dTx1j35N1Gq/LF8M9snnf8e6ZS6O372Jy+xXqN9eDmB3rxvrf71yDrL+z3OiyaPVKb9+7X01a/Zr2FXsjRN0JPLszxcvvKzpHVx19s1hGeo47NN/1iPa/urIqOLu8t3YKiNn9j87DPsV63hf558+gctRL23MVsNXbX472mb7+Gg6xH9LIe1rK3sG8YzZigW8rWYZZy/wtCf2t76chF1ssGR7WfoS88d/MmNh3zXZbsjbR+VQldr32HTfdY3+KxPPugAe87TbupOvyQpatHTgSa9OF91FGnKAXralvTRr4Vepv6+2NWlsmSZ8FJeXNf3vd0Xv+zlvWzxh5+2v14v58xOym4nM1dy1Rb5Ao99JR3ULsKWXps5BniZsh738NZbsdZ9xmcUN+8P+/HFlo4Gv2UJcf+VxcmCH33tYaZGay7F+3MmDaA94GuPxZPqmRzy+u+zX4K3VlPc9sz1pvXhlnuM+L9UIb75YW/2Hvfl3SfoQN5ryutLqtg/ZDDmZjnQh+9OtVkU5Us1dU5XF43iPekdokRar/Z/rAnO72LMe/zwp5TFOvXb31LuS70x3FD1vWulqWdVnkn5w/m3VIjVzmJ9ZOyS7DyEGHdhgdHjfvDzoUhiXPihN7n26axD1h/8jdBx2Io772enKqeU8PeHz/PfvtZ6P1bq2SUsJ6XkLojeBjvsU5hYb5/ZSlHOcug73DeF3tar27yj80Dkauu5Qtdq9VYt/2sj9DNl5aP4P1puYu7di2b5x3vJrcaybvPo6T1F1lf8sWtx0WhL1kxIkaqY+sw8NSG6Sa8J275nlfAep4iMK9S6FW5D5vPrmfvO0n1avtH8b7598eZ31gfc05j7NDRvA/LM0j2aWDvm+tTFz8Tekx9TK8mpJDaFv3e7DOG90cTpdj9rN9xy93ZUeI9apGGgY6SQlIt0Q1JE/q05hrZl1h3UWuzwcmU97Ky0R5jlRXSuI0h82qF3qYwUucB658qdg45NFb4XU7apXMbKaSFHdrWjx7Hu7v1y6zvrJ851jP1rdA/OF8/tUFFIW0Ye8F1kxnvay3uH2qhqpB846837jFe+F2X1Y5Fsa65aVJkptBN561JMmiskMI22nRzNuf9fF2L5ymsd7J9uF/JQngezQqaTWiikE4l3m44KnSzj6mTnrHebOyg2eMshfkk4mGUa1P2e6+qn5WFPri51t8q1m9lzyrdMoH34srNboHNFNLvNlo9tCfy/ke1wyet5gopwWG4RbbQz/987hXHevnonLkLJvH+cmm2+uAWCunI6pQljSYL96XXs9Rs1j0TWi0+LvR/d9p4z1BTSJV779ibTeH9rLrvaAXroc/eD1cI3TKucbtVLRXSRj37lgFTeb86Ir1OWV0hveqvV9TLSpijNkb+Cmd9b6zVriyhp/aM/durlUJapl0w3GUa770f3W11mXXVpYefKlkL59SYLoPNNBTS017ZrkeFfrDN/sWPWe/zZ8hXUxvedWjwmQWtFVL/g1Vz3gu9/MKff5Wsv0psuLVpOu93Hsmzt2oqJPVSm27dZwjrVvNnvlYbhbSq5uuS60J/0klvSjzr+7bmnJxjy/u5gxtfDtFSSI9GyM9qhf506L+1uawvzBn9N9qOd4Mj0ToObRWS8+Mn6ib2vHfaNO/9Z9bPtzrV9qXQU/0szvq0U0it9S6p+zrwfsncOrBZe4WknVVR034m71M2b1gexfqc3QufJQt96dN7rn07KKQmI5qetHMUzrXykcvTWbdwf+n2S+hFa/K3Tu2okLoXPu+ydxbv3zU2nXnLuksrpeyBTrwbuU5/t6KTQsp9bu30QOjBXS20lTorpAdFOR+Xz+Z9yxvHNeGsf0iY49JyjvCcTtn1XLuLQhqt3u7hWaH7t3o/MYn18sOlAyfN5f14vs09i64K6Yvau61fhB6jLzs+Z72i/tvdbfOE8+72nj9Luimk+O7qSrrzea+0mnPiH+sbO1j0yRa6hbPlgl3dFdKT8D3mzs68Ox6zGtC9h0LKH1YyvUHofZO8ml9kfdWFGdMPufBuN+ryr3E92XMaf9vMZAHvTV+2+lHEulrm+N4vhN7OaPtv114KyerUndo1C3n/9K6zeg3rBY1tbmkt4n3DjnuDQ7TZOgx45XdJ6D4P9rp31VFIq28vMrB25V1j+trERNYv+37P/S70zonejcbpKqS541bahyzmXTUoxLWI9W53S57pu/H+zOfac1c9heSXNGdyrtCNtVVm1bD+7Hz2hQVLeJ+ps+hbSG+F5Da7c1Mld2H9d3ob3E2fnSOLXGxihf796PLhF1m3XRmx02SpsO/NbPfbzIA9XzpJqc+FHvyqKOsp623005+v9uB9eO7p2CV9FNK7nqe/ai7jPfPKvuBa1jun+JYmCn3fuP0Bu/sqpL97+hZPWc57dvOzO3v1U0iB09NvfxX6z5NP4pJYP37M4Mi2FcJ8e0Urf4KhQmrZ29NdeyXvpXcXK79mfVHgHr1MoatuKbRc0V8htV8QWDTbk/e01RNilAew827RVO8aoV8Y/aRhP+sXBn5SjfAS1qGXt5eBkUK66TE1eNAq3hvO6P5KZz342ub6QqEf3/Rlq/VAhZST5bdoqTfvPYLSdT6wrtx73PUmq3nvNvPo47WDFNLVnXlN44T+YntEWAtjhWRwsL256Rre9ROj5x5mfd137VWvhb5h/oWRxoMVUqLRj3Cftby/G1ike5v1w6recVo+wnW+2riH0xCFpKRx+eQFoZdvszQoY92l8lTMFF/eEwZFjA0YqpAGzZgR8EXo+61+urUfxr7/o0SnreuEzy9zOnyWdY226bo91guf7/XwgzRcIY3JWF18TeibGqaPKGK93fKXoQ4bhPk54n2M2wiFNO3eZ8NKoQ/28W1Vx/pa7+jroX68LxraNSxspEL6o15p2mejMJc65/XUM2HrYVTplRyhuwcH3Exj/d+hrZ2cNwnrfIz5ymmjFNKhp6metULv30qj/wfWnwUFpx3YLJzvIYq/PqMV0rwZFb8G+Qvn4NgbT1uOUUjZL3/0KBR62vVjN4+x7nVj05glW4R9NWzXtWGSQrp07OhUlQDh907YdCuf9ZO6060OC33a8rWvnU0V0oyvoaYjtwr7yZ7VjapZ3xNqp/NE6F9NfEfsHMvm2OTjNSsChev8z39jz3HsetLazObbeO81a/ejZNb7qBf4xAt9k+LIkClmbH/edLyXaRDvD3omnyxm3e9XdcZLofc9XKi/drxCmt7yzqTV23k3+fg1Rc1cIeUtaX23VbBwPf2azDzG+pnTD4efEbpeuV7j4RYKKcijcdT4HbxPzrXMLmD9hU1C6Vuh3wxasnuBpUL6+SfbyDdEmJfSQ9xrWFdRmuDaZifvV74l2O6ewNZJs2G7EoQ+JOr+VN2JbH1eCI233CXcX5tyu2us39o3JbFY6Ob7Wy2zmaSQbtstP7M+lPf5pf32fmY9Mqwiou1u3ne9srzjN1khHfz02DtR7J/nqWlNUUi1PzXHT9wjfM993vPOsP7a9pyKQugVroE3TacqJL0zh5I3hPF+uzhs0DPWL+z54NgunHeb7ZGXllkppJ4nNv5IFPqYN9FjVaaxeXL7Eu+Je4X5zeXguyjWbz4+ViIL/VdU6M6B1gopRk/fdsM+3tWabJxwh/XkrtUJbfcL85u+a5t5NmxutG9Zc17oXzZafK9ifZOH25AJEcJ6C+n2dOd0hZRVp7qgWOhpBd8LtGew+fyEwn/dAd7/3rpclMZ6rXJDWJuDvA8tX/HNxlYhXUu023tO6P8Kerb6yvqrCR8DzSOF/eH1nXGb7RSSq/vZJW+FPjpyYWB7e4U09UL8mLVRwrnm/+vpedZtkx+qaETz/kbTZ5iFg0LS6WCYfkroje/+OPGG9fGeSQvHxvA+qcdM3dUz2fk7x63+hdCt912+pOaokB6vMQv2OsS71RGaFsf6Ecfxqi1ihTnkxpi/JrMUks8RN6/jQv/tvuzKY9YnfUp4YHJY+L3ddvotdVJIK3Ja9ygS+hvrKLtGsxXS9xdh8z2OCPcl4MCoaNafpPQNVznKe61GwCDjOez51XhzJUbozy20Qg6ynq7r3F75mLDO97wYkce65wq93MFCV+k+Or9hk/Lm/72vm5SpjpT/e88alEkLvWPrxLk2LYpa36gnjQClXuWTOvm2r2X/eQ4+q9Hof/4g+3cjDfo//yqX/m9Bv/F/i+r//rNupv8/bv4fV4KDpAwHqREcJBU4SKpwkBrDQWoCB6kpHKRmcJCaw0FqAQdJDQ5SSzhI6nCQWsFB0oCD1BoOkiYcpDZwkLTgILWFg9QODlJ7OEgd4CB1hIPUCQ5SZzhIXeAgdYWD1A0OUnc4SD3gIPWEg9QLDpI2HCQdOEi6cJD04CD1hoOkDwfJAA5SHzhIfeEg9YODZAgHqT8cpAFwkIzgIA2EgzQIDpIxHKTBcJCGwEEaCgdpGByk4XCQRsBBGgkHyQQO0ig4SKPhII2BgyTBQTKFgzQWDtI4OEhmcJDGw0Eyh4NkAQfJEg7SBDhIE+EgTYKDNBkO0hQ4SFPhIFnBQZoGB8kaDpINHKTpcJBmwEGyhYNkBwfJHg6SAxykmXCQHOEgzYKD5AQHaTYcpDlwkObCQZoHB2k+HCRnOEgucJAWwEFaCAdpERwkVzhIi+EgucFBWgIHyR0O0lI4SB5wkJbBQVoOB2kFHKSVcJA84SB5wUFaBQfJGw7SajhIa+AgrYWD5AMHyRcO0jo4SOvhIG2Ag+QHB2kjHKRNcJBd+P86SP5wkLbAQQqAg7QVDlIgHKRtcJCC4CBth4MUDAdpBxykEDhIO+Eg7YKDFAoHaTccpD1wkMLgIIXDQdoLB2kfHKT9cJAi4CAdgIN0EA5SJBykKDhI0XCQYuAgHYKDFAsH6TAcpCNwkI7CQToGB+k4HKQ4OEjxcJBOwEE6CQfpFByk03CQzsBBOgsH6RwcpAQ4SOfhICXCQboAB+kiHKRLcJAuw0G6AgcpCQ5SMhykq3CQUuAgpcJBSoODdA0OUjocpAw4SNfhIN2Ag5QJB+kmHKQsOEjZcJBuwUHKgYOUCwfpNhykO3CQ7sJBugcHKQ8OUj4cpAI4SIVwkO7DQXoAB+khHKRHcJAew0EqgoP0BA7SUzhIz+AgPYeD9AIO0ks4SK/gIL2Gg/QGDtJbOEjv4CC9h4NUDAdJhoOkgIP0AQ7SRzhIn+AgfYaD9AUO0lc4SN/gIJXAQSqFg/QdDtIPOEhlcJDK4SBVwEH6CQepEg7SLzhIVXCQfsNBqoaD9AcOUg0cpL9wkP7BQaqFg1QHB6keDlIDHGQD138dJCU4SMpwkBrBQVKBg6QKB6kxHKQmcJCawkFqBgepORykFnCQ1OAgtYSDpA4HqRUcJA04SK3hIGnCQWoDB0kLDlJbOEjt4CC1h4PUAQ5SRzhIneAgdYaD1AUOUlc4SN3gIHWHg9QDDlJPOEi94CBpw0HSgYOkCwdJDw5SbzhI+nCQDOAg9YGD1BcOUj84SIZwkPrDQRoAB8kIDtJAOEiD4CAZw0EaDAdpCBykoXCQhsFBGg4HaQQcpJFwkEzgII2CgzQaDtIYOEgSHCRTOEhj4SCNg4NkBgdpPBwkczhIFnCQLOEgTYCDNBEO0iQ4SJPhIE2BgzQVDpIVHKRpcJCs4SDZwEGaDgdpBhwkWzhIdnCQ7OEgOcBBmgkHyREO0iw4SE5wkGbDQZoDB2kuHKR5cJDmw0FyhoPkAgdpARykhXCQFsFBcoWDtBgOkhscpCVwkNzhIC2Fg+QBB2kZHKTlcJBWwEFaCQfJEw6SFxykVXCQvOEgrYaDtAYO0lo4SD5wkHzhIK2Dg7QeDtIGOEh+cJA2wkHaBAfZhf6vg+QPB2kLHKQAOEhb4SAFwkHaBgcpCA7SdjhIwXCQdsBBCoGDtBMO0i44SKFwkHbDQdoDBykMDlI4HKS9cJD2wUHaDwcpAg7SAThIB+EgRcJBioKDFA0HKQYO0iE4SLFwkA7DQToCB+koHKRjcJCOw0GKg4MUDwfpBBykk3CQTsFBOg0H6QwcpLNwkM7BQUqAg3QeDlIiHKQLcJAuwkG6BAfpMhykK3CQkuAgJcNBugoHKQUOUiocpDQ4SNfgIKXDQcqAg3QdDtINOEiZcJBuwkHKgoOUDQfpFhykHDhIuXCQbsNBugMH6S4cpHtwkPLgIOXDQSqAg1QIB+k+HKQHcJAewkF6BAfpMRykIjhIT+AgPYWD9AwO0nM4SC/gIL2Eg/QKDtJrOEhv4CC9hYP0Dg7SezhIxXCQZDhICjhIH+AgfYSD9AkO0mc4SF/gIH2Fg/QNDlIJHKRSOEjf4SD9gINUBgepHA5SBRykn3CQKuEg/YKDVAUH6TccpGo4SH/gINXAQfoLB+kfHKRaOEh1cJDq4SA1wEE2YP3XQVKCg6QMB6kRHCQVOEiqcJAaw0FqAgepKRykZnCQmsNBagEHSQ0OUks4SOpwkFrBQdKAg9QaDpImHKQ2cJC04CC1hYPUDg5SezhIHeAgdYSD1AkOUmc4SF3gIHWFg9QNDlJ3OEg94CD1hIPUCw6SNhwkHThIunCQ9OAg9YaDpA8HyQAOUh84SH3hIPWDg2QIB6k/HKQBcJCM4CANhIM0CA6SMRykwXCQhsBBGgoHaRgcpOFwkEbAQRoJB8kEDtIoOEij4SCNgYMkwUEyhYM0Fg7SODhIZnCQxsNBMoeDZAEHyRIO0gQ4SBPhIE2CgzQZDtIUOEhT4SBZwUGaBgfJGg6SDRyk6XCQZsBBsoWDZAcHyR4OkgMcpJlwkBzhIM2Cg+QEB2k2HKQ5cJDmwkGaBwdpPhwkZzhILnCQFsBBWggHaREcJFc4SIvhILnBQVoCB8kdDtJSOEgecJCWwUFaDgdpBRyklXCQPOEgecFBWgUHyRsO0mo4SGvgIK2Fg+QDB8kXDtI6OEjr4SBtgIPkBwdpIxykTXCQXdj/Okj+cJC2wEEKgIO0FQ5SIBykbXCQguAgbYeDFAwHaQccpBA4SDvhIO2CgxQKB2k3HKQ9cJDC4CCFw0HaCwdpHxyk/XCQIuAgHYCDdBAOUiQcpCg4SNFwkGLgIB2CgxQLB+kwHKQjcJCOwkE6BgfpOBykODhI8XCQTsBBOgkH6RQcpNNwkM7AQToLB+kcHKQEOEjn4SAlwkG6AAfpIhykS3CQLsNBugIHKQkOUjIcpKtwkFLgIKXCQUqDg3QNDlI6HKQMOEjX4SDdgIOUCQfpJhykLDhI2XCQbsFByoGDlAsH6TYcpDtwkO7CQboHBykPDlI+HKQCOEiFcJDuw0F6AAfpIRykR3CQHsNBKoKD9AQO0lM4SM/gID2Hg/QCDtJLOEiv4CC9hoP0Bg7SWzhI7+AgvYeDVAwHSYaDpICD9AEO0kc4SJ/gIH2Gg/QFDtJXOEjf4CCVwEEqhYP0HQ7SDzhIZXCQyuEgVcBB+gkHqRIO0i84SFVwkH7DQaqGg/QHDlINHKS/cJD+wUGqhYNUBwepHg5SAxxkA9V/HSQlOEjKcJAawUFSgYOkCgepMRykJnCQmsJBagYHqTkcpBZwkNTgILWEg6QOB6kVHCQNOEit4SBpwkFqAwdJCw5SWzhI7eAgtYeD1AEOUkc4SJ3gIHWGg9QFDlJXOEjd4CB1h4PUAw5STzhIveAgacNB0oGDpAsHSQ8OUm84SPpwkAzgIPWBg9QXDlI/OEiGcJD6w0EaAAfJCA7SQDhIg+AgGcNBGgwHaQgcpKFwkIbBQRoOB2kEHKSRcJBM4CCNgoM0Gg7SGDhIEhwkUzhIY+EgjYODZAYHaTwcJHM4SBZwkCzhIE2AgzQRDtIkOEiT4SBNgYM0FQ6SFRykaXCQrOEg2cBBmg4HaQYcJFs4SHZwkOzhIDnAQZoJB8kRDtIsOEhOcJBmw0GaAwdpLhykeXCQ5sNBcoaD5AIHaQEcpIVwkBbBQXKFg7QYDpIbHKQlcJDc4SAthYPkAQdpGRyk5XCQVsBBWgkHyRMOkhccpFVwkLzhIK2Gg7QGDtJaOEg+cJB84SCtg4O0Hg7SBjhIfnCQNsJB2gQH2YX8r4PkDwdpCxykADhIW+EgBcJB2gYHKQgO0nY4SMFwkHbAQQqBg7QTDtIuOEihcJB2w0HaAwcpDA5SOBykvXCQ9sFB2g8HKQIO0gE4SAfhIEXCQYqCgxQNBykGDtIhOEixcJAOw0E6AgfpKBykY3CQjsNBioODFA8H6QQcpJNwkE7BQToNB+kMHKSzcJDOwUFKgIN0Hg5SIhykC3CQLsJBugQH6TIcpCtwkJLgICXDQboKBykFDlIqHKQ0OEjX4CClw0HKgIN0HQ7SDThImXCQbsJByoKDlA0H6RYcpBw4SLlwkG7DQboDB+kuHKR7cJDy4CDlw0EqgINUCAfpPhykB3CQHsJBegQH6TEcpCI4SE/gID2Fg/QMDtJzOEgv4CC9hIP0Cg7SazhIb+AgvYWD9A4O0ns4SMVwkGQ4SAo4SB/gIH2Eg/QJDtJnOEhf4CB9hYP0DQ5SCRykUjhI3+Eg/YCDVAYHqRwOUgUcpJ9wkCrhIP2Cg1QFB+k3HKRqOEh/4CDVwEH6CwfpHxykWjhIdXCQ6uEgNcBBNkD910FSgoOkDAepERwkFThIqnCQGsNBagIHqSkcpGZwkJrDQWoBB0kNDlJLOEjqcJBawUHSgIPUGg6SJhykNnCQtOAgtYWD1A4OUns4SB3gIHWEg9QJDlJnOEhd4CB1hYPUDQ5SdzhIPeAg9YSD1AsOkjYcJB04SLpwkPTgIPWGg6QPB8kADlIfOEh94SD1g4NkCAepPxykAXCQjOAgDYSDNAgOkjEcpMFwkIbAQRoKB2kYHKThcJBGwEEaCQfJBA7SKDhIo+EgjYGDJMFBMoWDNBYO0jg4SGZwkMbDQTKHg2QBB8kSDtIEOEgT4SBNgoM0GQ7SFDhIU+EgWcFBmgYHyRoOkg0cpOlwkGbAQbKFg2QHB8keDpIDHKSZcJAc4SDNgoPkBAdpNhykOXCQ5sJBmgcHaT4cJGc4SC5wkBbAQVoIB2kRHCRXOEiL4SC5wUFaAgfJHQ7SUjhIHnCQlsFBWg4HaQUcpJVwkDzhIHnBQVoFB8kbDtJqOEhr4CCthYPkAwfJFw7SOjhI6+EgbYCD5AcHaSMcpE1wkF24/zpI/nCQtsBBCoCDtBUOUiAcpG1wkILgIG2HgxQMB2kHHKQQOEg74SDtgoMUCgdpNxykPXCQwuAghcNB2gsHaR8cpP1wkCLgIB2Ag3QQDlIkHKQoOEjRcJBi4CAdgoMUCwfpMBykI3CQjsJBOgYH6TgcpDg4SPFwkE7AQToJB+kUHKTTcJDOwEE6CwfpHBykBDhI5+EgJcJBugAH6SIcpEtwkC7DQboCBykJDlIyHKSrcJBS4CClwkFKg4N0DQ5SOhykDDhI1+Eg3YCDlAkH6SYcpCw4SNlwkG7BQcqBg5QLB+k2HKQ7cJDuwkG6BwcpDw5SPhykAjhIhXCQ7sNBegAH6SEcpEdwkB7DQSqCg/QEDtJTOEjP4CA9h4P0Ag7SSzhIr+AgvYaD9AYO0ls4SO/gIL2Hg1QMB0mGg6SAg/QBDtJHOEif4CB9hoP0BQ7SVzhI3+AglcBBKoWD9B0O0g84SGVwkMrhIFXAQfoJB6kSDtIvOEhVcJB+w0GqhoP0Bw5SDRykv3CQ/sFBqoWDVAcHqR4OUgP8/5Fd51E5tf3//9+VIaJE5sxTiSiFKAdFmSWziKgoigzJVMpccplDZEqaNJhL5iKUyNBIOPcuhEpFZPgdn3W/1ncfa/3uf57r9VjXuu6u89zn3sdG+YHpfxslNWyU1LFR0sBGqR42SvWxUWqAjVJDbJQ0sVFqhI1SY2yUtLBRaoKNUlNslLSxUdLBRqkZNkq62Cg1x0apBTZKetgotcRGqRU2Sq2xUWqDjVJbbJTaYaPUHhslfWyUOmCj1BEbpU7YKHXGRqkLNkpdsVHqho1Sd2yUemCj1BMbpV7YKBlgo2SIjVJvbJSMsFHqg41SX2yUjLFR6oeNUn9slEywUTLFRmkANkpm2CiZY6M0EBulQdgoDcZGyQIbpSHYKA3FRskSGyUrbJSGYaPEsFEajo3SCGyUrLFRssFGaSQ2SqOwUbLFRskOG6XR2CiNwUZpLDZK47BRGo+N0gRslCZiozQJGyV7bJQmY6PkgI3SFGyUpmKjNA0bpenYKM3ARmkmNkqzsFGajY2SIzZKc7BRmouNkhM2SvOwUZqPjZIzNkoLsFFaiI2SCzZKrtgouWGjtAgbpcXYKLljo+SBjdISbJSWYqPkiY2SFzZKy7BRWo6Nkjc2SiuwUVqJjdIqbJRWY6Pkg43SGmyUfLFRWouN0jpslNZjo7QBG6WN2Cj5YaPkj43yD+p/G6UAbJQCsVHajI3SFmyUtmKjtA0bpe3YKO3ARmknNkpB2CgFY6O0CxulEGyUdmOj9B82SnuwUdqLjdI+bJT2Y6N0ABulg9goHcJGKRQbpcPYKB3BRukoNkph2Cgdw0bpODZK4dgoncBG6SQ2SqewUTqNjdIZbJQisFE6i41SJDZK57BRisJGKRobpRhslGKxUYrDRuk8Nkrx2CglYKOUiI1SEjZKF7BRuoiN0iVslC5jo3QFG6Wr2Chdw0YpGRulFGyUrmOjlIqN0g1slG5io3QLG6Xb2CjdwUbpLjZK97BRSsNGKR0bpfvYKD3ARikDG6WH2Cg9wkbpMTZKmdgoZWGj9AQbpWxslJ5io/QMG6UcbJSeY6P0Ahull9govcJGKRcbpTxslPKxUSrARqkQG6UibJReY6P0BhulYmyU3mKj9A4bpffYKKmwUZKwUZKxUSrBRqkUG6UP2Ch9xEbpEzZKZdgofcZG6Qs2Sl+xUSrHRqkCG6VKbJS+YaNUhY1SNTZKNdgofcdG6Qc2SrXYKP3ERukXNkp12Cj9xkbpDzZKf7FR+oeN8gPS/zZKatgoqWOjpIGNUj1slOpjo9QAG6WG2ChpYqPUCBulxtgoaWGj1AQbpabYKGljo6SDjVIzbJR0sVFqjo1SC2yU9LBRaomNUitslFpjo9QGG6W22Ci1w0apPTZK+tgodcBGqSM2Sp2wUeqMjVIXbJS6YqPUDRul7tgo9cBGqSc2Sr2wUTLARskQG6Xe2CgZYaPUBxulvtgoGWOj1A8bpf7YKJlgo2SKjdIAbJTMsFEyx0ZpIDZKg7BRGoyNkgU2SkOwURqKjZIlNkpW2CgNw0aJYaM0HBulEdgoWWOjZION0khslEZho2SLjZIdNkqjsVEag43SWGyUxmGjNB4bpQnYKE3ERmkSNkr22ChNxkbJARulKdgoTcVGaRo2StOxUZqBjdJMbJRmYaM0GxslR2yU5mCjNBcbJSdslOZhozQfGyVnbJQWYKO0EBslF2yUXLFRcsNGaRE2SouxUXLHRskDG6Ul2CgtxUbJExslL2yUlmGjtBwbJW9slFZgo7QSG6VV2CitxkbJBxulNdgo+WKjtBYbpXXYKK3HRmkDNkobsVHyw0bJHxvlH8z/NkoB2CgFYqO0GRulLdgobcVGaRs2StuxUdqBjdJObJSCsFEKxkZpFzZKIdgo7cZG6T9slPZgo7QXG6V92Cjtx0bpADZKB7FROoSNUig2SoexUTqCjdJRbJTCsFE6ho3ScWyUwrFROoGN0klslE5ho3QaG6Uz2ChFYKN0FhulSGyUzmGjFIWNUjQ2SjHYKMVioxSHjdJ5bJTisVFKwEYpERulJGyULmCjdBEbpUvYKF3GRukKNkpXsVG6ho1SMjZKKdgoXcdGKRUbpRvYKN3ERukWNkq3sVG6g43SXWyU7mGjlIaNUjo2SvexUXqAjVIGNkoPsVF6hI3SY2yUMrFRysJG6Qk2StnYKD3FRukZNko52Cg9x0bpBTZKL7FReoWNUi42SnnYKOVjo1SAjVIhNkpF2Ci9xkbpDTZKxdgovcVG6R02Su+xUVJhoyRhoyRjo1SCjVIpNkofsFH6iI3SJ2yUyrBR+oyN0hdslL5io1SOjVIFNkqV2Ch9w0apChulamyUarBR+o6N0g9slGqxUfqJjdIvbJTqsFH6jY3SH2yU/mKj9A8b5Qei/22U1LBRUsdGSQMbpXrYKNXHRqkBNkoNsVHSxEapETZKjbFR0sJGqQk2Sk2xUdLGRkkHG6Vm2CjpYqPUHBulFtgo6WGj1BIbpVbYKLXGRqkNNkptsVFqh41Se2yU9LFR6oCNUkdslDpho9QZG6Uu2Ch1xUapGzZK3bFR6oGNUk9slHpho2SAjZIhNkq9sVEywkapDzZKfbFRMsZGqR82Sv2xUTLBRskUG6UB2CiZYaNkjo3SQGyUBmGjNBgbJQtslIZgozQUGyVLbJSssFEaho0Sw0ZpODZKI7BRssZGyQYbpZHYKI3CRskWGyU7bJRGY6M0BhulsdgojcNGaTw2ShOwUZqIjdIkbJTssVGajI2SAzZKU7BRmoqN0jRslKZjozQDG6WZ2CjNwkZpNjZKjtgozcFGaS42Sk7YKM3DRmk+NkrO2CgtwEZpITZKLtgouWKj5IaN0iJslBZjo+SOjZIHNkpLsFFaio2SJzZKXtgoLcNGaTk2St7YKK3ARmklNkqrsFFajY2SDzZKa7BR8sVGaS02SuuwUVqPjdIGbJQ2YqPkh42SPzbKP4j/bZQCsFEKxEZpMzZKW7BR2oqN0jZslLZjo7QDG6Wd2CgFYaMUjI3SLmyUQrBR2o2N0n/YKO3BRmkvNkr7sFHaj43SAWyUDmKjdAgbpVBslA5jo3QEG6Wj2CiFYaN0DBul49gohWOjdAIbpZPYKJ3CRuk0NkpnsFGKwEbpLDZKkdgoncNGKQobpWhslGKwUYrFRikOG6Xz2CjFY6OUgI1SIjZKSdgoXcBG6SI2SpewUbqMjdIVbJSuYqN0DRulZGyUUrBRuo6NUio2SjewUbqJjdItbJRuY6N0Bxulu9go3cNGKQ0bpXRslO5jo/QAG6UMbJQeYqP0CBulx9goZWKjlIWN0hNslLKxUXqKjdIzbJRysFF6jo3SC2yUXmKj9AobpVxslPKwUcrHRqkAG6VCbJSKsFF6jY3SG2yUirFReouN0jtslN5jo6TCRknCRknGRqkEG6VSbJQ+YKP0ERulT9golWGj9BkbpS/YKH3FRqkcG6UKbJQqsVH6ho1SFTZK1dgo1WCj9B0bpR/YKNVio/QTG6Vf2CjVYaP0GxulP9go/cVG6R82yg9A/79qNOOP0T35Fo/nqpj3sp73zU5/ZoT/WReEf/jDvWdy2apFgk8t7zpuoZOKqZVvyMoU3MDuhWcdd78Ni++5nFFct6fXif3zVKxzgmvMb8H/G/K12Gi+ih14tzLwQITil9o69Evj3vDgvnF9ziq+bV5oyBxnFXs3/E79NMHnRF7/Vc09ad6/RMdIxfvsTPUJWaBi55eMn1Al+KfToWo9F6rYxeJzBUHnFE/ePTbsJvfagbqzukYpnl+aYzPDRcW6fNmekSx49BjjunLuQ/20DCdHK540afadHa4qdtstbN0HwQ8fnHqoixv/7+026IZ/jOLdrrZbl8Jdw/RNRatY4fO3j1k6ZZGKPdDZ0zJecLU/5PWZu8bQ8Uaj4hQPmaXvt3WxitmYNjctEtxS/dexju78e1n1znDlecX994c+usq9VUBy88bxildEf2sw2UPFXuQe+XxS8NHvNR0+ca+sDbg6KEFx5/zc2M1LVKyRq/fKJ4Jb9pmr12GpihkcX9TZNVHxn2sOBV/hfrury806wV/PCtC19+Tf1xq3CfuSFJ+0rH3kR+6DOnplGVxQPG/agjGbvVSsyZF1w24J3i12Sp3+MhUbtyT45LSLiqs3/XL9CnfvNierygR3a9sn2H65ii3vfm1Q4CXFXb203T9xD2/xfGmby4oPjtk7bYu3il3zqNgXL/qSi/YdV6hYWbxOzMgrin+Y5D37GvcM1/4XCgQv+Z6xwmGlio1t6RC7/Krw+fy9euQz91c2qw42uKa4VkPL7G2rVMzS99DyY4J3j3do0WW1il2wuGZpmqy4z/6frte55+nk/3wg+NTpxg+m+ajY1cDac3NTFB9w6OvACu5327WyqxI87tugy0FrVCxnvknujuuKb9LStO7hq2J934yZ2TFV8eBNc17f4u6vP+/RRcFfVppun71WxYrOLu875obiW//tYDXc79TzC3gj+IcxcxrsWadiemnb7q+8qbiXd0xh7/Uq1mtZ0G/NW4rHtvK+lc49fu+ObuGCzyg4nzR/g4o9vLpp6IDbio+f63Shjrua14qRGYLvGr7pzqGNKmY9Yu6wuXcUH9pDt9jEj3+/N4cbfhP8RJy2Vhb3K6v062+/q3gvX59Ri/1V7GlF+bP294Tfi6Htbo1NKnb/Tsp/iYJrLFgvh3Pf77Nh2Kg0xeV7LcYNCVCxQ+Fmb/IFb1DZ5NZL7ocfvvfySld8R7DLCO9AFXu0fVuF+n3FE8zb5DTZzL9f904LQwX/sLeHdxR3fzp/3+iB4nesgzqO3KJi7q+N298W/Msnm4Ji7vb7IuZPzVDcrq99xPqtKrY4qWnoB8Ez4+I2tN7G//ks95sbHioe1mTGwovctddee9XskeJ/y8fPnLRdxbRG/yyOENzpV7BjGfeOT4wKBj8W7g/Zup7bd6hYwIlJ6ZmCb25etKvbThV7ae9yan6m4q8WfUi5xb3HGnevasHtVpr9cAxSseJzTn12ZClel3djRC33N742he2fKG5hFXj0QLCKOW5qvT5B8FUj/dVMdqnYn6kFWjbZilvtv+CTxf15SHDIK8EnPmn7yz1ExSbc7U0eTxXfcvRCcIPdKjYy6OrCP4KXHFtndIb7z40m1/Y8U/zIumX57D8Vaz7w8J9uOcL9PG/3wSLux8aVDbgq+Jy5r+at3cM/55m9Hcc+V9z3vM3gVnv5c61m6srXgtdb9qLjRe7uNzw2LH+h+Hu7bS3s96mY1bglPhovFe/0ZnqrL9zTLaY7HxK8LNemV9B+FVvd3cjK8JXiRwvH2vY6oGLdzn1slCp4zH/uK9O46zrtfTAxV/HrR4/HOx9UMZXcxeed4AfPSD/+co8sPNpyVZ7we5xsOenYIf67KKo72yBf8YCxpy9ZhPJzzvaRvY4IXjxQzyCXe63vqiNGBYqfuvFf9KrDKvbePvj3DcHHbmtu0fyIin09v8PevlDxnYOPvkrgvrXf0oPvBe+7oXvghKP8ul1t/nhVkeL9f8YPLePeurNU2eC18PudMUhjZ5iKfcxe0+iI4BXsel7PYypW3aNC1+iN8HuZPTg1jXvUvfFaNwQPnhR3fsFxfh2ODamZWKy4SYbeeQpXsTNzk56+FdzQc1lKOPdr4deOrXgrnB9Kk19anuDXT9LpWfXeKT7rbeXfAu5qg5c1PCR4U7WWA9eeVDHn3A6Rvd4r3qqq8/rWp/jvaEC8ebLg2vNbPLnMfUNFpytjVcJ9qfKj8dTTKnbz4opeRYK3czh9/Bv39V0jd3pKwudsNKTd3jP8enufXPRX8MG9EiL6RahY1pHznffIwn2p4q/lE+7NyjdN61IiXA8mvVRLz6pY750D1l8Q/OrBHqFakSrmpZO+16ZU8dr7P2bGcN9raH7kheCnlocZjDnHz6v+m/e6flC80Eq7wQfu41IS1n0X/HP+hMptUfw+EJg8dftHxe0rZnzqEc2v/00nO7X5pPixPr0r07i/nOdSGCX44SF367vE8PPYw3o7LMoUN7rfwUAjVsUmLwro8Uhwj/VDZp7mbijnX5z9Wbh+GrQ6NCKOPwe/NB1QJnhFi/h3b7mb9+1wZv0X4TxmT0M3nVexppMa1mvyVfHsRY1Pd4pXsYJ/j6cdE/xFw0etbnF3/exxuE+54gavLY84JfD78B3V41TBaw/MN/zLPbfvwIrxFYrvKTJ9cDxRxUa9ca7/WvAlzkkrrJJUbFOAm5ZnpeJdn+UbveZud99G/Y/g/vnR3zZc4Oclx58fd31TfJlBpwf6F1VsSuW2u/pVijdeOig6lbvGoM/BcYKHOFQcnnOJP+9eG9haVgu/0yC7Q7+5dztgWflY8KZ3h5w6dlnFJjXtFeJYo/jkqAfJlldUrP6v0rZlgmt+Lisu4t6hiX/ouu/Cc8rybIuNV/l9r6asfuMfirceXTm1wzUVi3E3dj0ieM3NrDM3uKe0s71sUKv4dPvB5JSsYnNSTb9fFVwVa+zxl7u9enUvu5+KewbEvwtP4b/TkzvHvhL8y6bLbuy6ivUZXzXX9ZdwDpw94mcx9+3J/RdUCx5wc9KRTakq1jZ8xIzNdcI5du4b2y43+PtUQg+r5r+F50jpJ7W73BtFFLU4JXgb7ZWPFtxUsU8mboX9/iieGrDqpMYt/r00u7v/puDHqj5vjuCeUFNuOeGv4j/0ClaNuq1iLkfLXxUKbh5qsbKEu9GV284e/xT/aNTIf/sdft9TW/i6VvBHW2wPG9zl73dmr8Zspy//z29NKb/5kPvGRu3OtVRTPHusWpXHPf7fZWFcc0bwAfrrzJqkqdjEjc3NTNUVt1s3Y/N57gf33F94W/CDrUOLJ6bz51HfsVsmaiieGTlwTAV3A53jB4sETy8YcHvvff65VdwM9ain+Ba3XSMHPFCx0N0JQbWCD/5j9eoFd6cIL69t9YW/08F2tU+GimV/rbPWa6D49zZnurR5yN8Les/QPC24YX2HwmTuL1puutmvoeKnH9mfdnykYks8fVxvCD6jw3GfP9yvlFv8Gaup+Ioks5knHvPvxfHR1jzB2dCWdiMy+fudV69/ro2Ev3+ZpY2K+5iP9u5VgpN61PitWfy9Ncg2bVNjxZ2jpi3s9UTFqIVmM20txae0ttn+kLuz9cHxYYJXa3hdW5LNz2P5X9YaNFF8d7cX35s+VbHMI7qHLwt+wGildSJ3r5F0zrqp4mefjQ5zeMZ/j2HJkdmCb3/soFbD/fl8q9A52or3zt69KjRHxZbNCPb9KHj8vl/VFs9VzNj6zFgfHeHvz9wfWMTdS9rSVKOZ4sGmMzv4v+D3f7X+d/4TvHL9qPQuL/l7nFOEq76u4rbzZq1L4+59692vKMHX799ruegVfz/9ULrJvLni57LLtBrnqpjZySs/7giu/dj1Qxz3TrET5k1soXh7qz/PJuWpWFh23NUCwRe/Tsj4xr3+i+e0SE/xKwvXZx7MV7FW/neHVAleuX3u68EFKlYe6uvq31JxU/WpdYXcm5TUbNJqpXhK0Jye/oX8OjEZEhIqeFX+KqeuRSr2esSooG6tFfeJOnomnbvH21a+CYLXS3hcs/i1ipW+jJ8+tI3iQZH1pzV5o2JxZU16PhC842jbOwncV5f1L3Foq7jGhOAhU4pVbNaJdqFvBD/jlXP7O/enzx4O9min+FG3tlOPvlWxxAnDHtcIfu7r3Gqrd/x6eLNmYkB7xZNvHz/1jvu7iT53m+grXnrolePW9yqWusSi12HBVxs16GaoUjEdtTsbunVQPGdw7x+Z3EMKm9yLFzx07fC85ZKKjc7Q/2XRUfGdUbb39WQVO3+goku64Ec3DblzjfsO7R1D7Dsp/i617cM5JSrWoJ7KplDwyDbvX1Opil20URvm1lnxOZP2/ovg7nvsvUGl4Cf1exiP+aBix19vq7ehi3B/sAxz/8I9/dWXpw26Kt7OozJp70cV+z6j9e69grss6NFw4Cf+nDLRsNTvpviCd2buBdznmiUVRAq+80yHPL8yFVth0sXDpLvwe3F9PaXbZ35O++Xw6brg9SXvogfcn863dbTtoXjXojzvpV9UrO+gutSngn9r3ExP96uK/Z7krePYU/Gsvi3vXeY+wC/KQRbcQL3Eb3Y5f18+eHLbsl7CfWPUJrt/3DctnhX7U3DTK+/0IypUbFpmzu3NBsLvTlfz3+hK/js62ORBU0Ph/tmq8ssX7itCG9wMFTwk8OjHfd9ULDrq9tkuvRW/qaf+bVCVilmED/GLFfx0cI+Gr7nXm7jKztxIcb1IdcPAan4O3O2pdkvwDt1CZ/Sq4fdh855xo/sI94E7b/dlcv/XLtwuR/DPI14XeH/nz+uWL5879lU8fEFQv9Y/+Pvmn0f2suA3VPKeVO6JMf43vYwV77f1y1/nWv6+X/NNv1Zw9YYn1jb8yc//V7ovDegn3DcMa+k89xf39eIa9xfuM3HfDzj8UrFFdK9ov+BNHA6b13L/YNnvr76JcD/JL3h/vI5fh9NnNYsUfGq91GM2v1WsocGIFv1MFd+132LhR+4Dd5U0uCb4qtGTB/73R8XWOI0pGz5A8a0StTL/y32d++2Hgs8xtFUv5D4q1Xabg5nij/I61m36x3/v9M6yUPD7l3ZQL5LYqG6DpYXmwvXvH9A8i/t89fEbPgs+pK6ByUo1ibVcr19/9UDFAz+1mtNWXWKWS6L9/ghev1nC/lvcdZK+fdg6SPHDxlm5rhoS0zeqtdEerPjoRssMmtST2ORryf8dEnzkwn1bL3CvGzQos6OF4hX/zMpn1pdY6s7lPyMFzz891fUf90Mhrq37DVH8mk556dkGEvvYrVXPq4Kvb6y+ZnxDibn3DezBhgq/rxnBzau4GwdHt3wgeJeUHSlHNCV2ruOu7xMthX//jx9ewxtJLPyhYcYrwQ+8eNWvlLulV2CQk5Xi/i27/QlpLLF65QetSgT39i94ZaYlsWxjl3eew4RzS+6v1ELuBc2+rK4RvJcqICGwicSSffvXbWDC73eRZ7xhU4nNGmvsXW+44n97X09+yr2+R0lusOB3vi1+tkZbYi6pM/u1GKG47tZVNR11JLa659Y1RwXvGlXY4z73AyFLErtYKz6z67EFns0k5pOrVRAl+IiUi7F6uhLr+8m1up+NcP8f2FktlXvPuLX/rgg+x6l4wcLmEutRz67OaqTie2q/Pm3cQmLj87NK0wTfkjl+3AXubVtop48bJdw/T31/NktPYk5HGu7PEZ19clFrKTH7qSmTZ9kKf79Xj3rR3H369FR7K3hUzdkE+1b8c2487pSbnXCeP+6+qJb7zDwD0y+Cd+rnZXSytcTK/G5dXDla+L5WJNXZtZGYxwftnr8ED+tnklfOveO/Vjs3jRGeX/3Lboe2ldiV87lFDcYK14PV68usncT6F9t3CRF8duf6V0u5f/ALnN5inOLDTs9P+6+9xEJ9l244Inj2ri+vB+lLbMI17f2dxiv+Ojpa4y33Fb3dj54V3OnePvMdHST2+Pr6fUYTFPc7E7myf0eJrZpluz5J8P/0VDfyuJdWZEwdNFHxVu9G6QV0kljFMo1ONwTPeJ7pY9hZYrfSavKtJwnf79XV8jPuOa9PbM0QfNaMYfPXdZGYZoxa14n2iu/w617atavEjrRpn/BccN/aHusec9dt+7nPrMnC97hneNtV3STmGLYq7I3go1usSNPvLrFr/136tdBBcWnctfXp3NNLYsd+FPxhA13m1UNiK/fODvaaoviEZuu0W/fk/78Bt1OrBP9mVvnxFveR516/8Z2q+NIRq54t7iUxre9JlX8EP6Gulq5rwD+feVY1gdOEc92og2kp3LVz/T82nK74oVzjpwsNJaY+ae2TXYJrbXtc2qS3xP6lGEbozlB8b0d3rSvcU7X3ehwS/IdX/aHzjCQ2cVhCl/YzFR84KtxHsw+/bodteXhCcJ9lJjeTuFepN1vQfZbiLVNTdR378uszwKEsSvBDP6286xlLbHniONe+sxW//P1C0Xnus7fUZScJPiWw7dQZ/SSWUeVsNNBReP4uWZZL/SU2pMZvTYrg4QEX3GK4B/o7XBo2R3E68FZtqonEnu0sendX8GkrfkT94R6l1YHs5iru9bna8Zwp//t/t9B5LPjEnFftJg+Q2J1pd7QnOQnnuuqj8i/uado9/uUIPqsrS40wk9iLzuzt9HmKr+h7J3yiucT6bNW5UCD4gJKOIbXcnc0PrXKaL1znHaZvPz1QYnONnvd6L/i+CJeQ8YMk5up8/7Grs/A5jB994jv3ZjnL5n8U3KD0b+rJwfz565stL12gePGobSVjLfh9YJLsWCF4+JCi9jXcm09JurtyofD3h/6dc2KIxAz8B7T7Ifgh47LoMUP58+7pkgXrXBRfnXNCvZr7eOvZYX8Ej5/WblG4pcR+5/xN2+QqnCuCZ+aOtuL/Xf6zijXcFN8wauaUKu6DRnl82ib40JmtC48Pk9iyriYljRYJ99tD+71GM4ktahmfs0twwxePmlZxf6r/LkFnseLHpJRrx4dLLH7Qo437BFeFOS8bPUJic1zdLVu6C+fhJ6kmVdz3nL1ZFir4hkmP/h23ltjU2ofB7TyEc0L19vzRNhJr4BSsf1xwzX1VN6u4z81VD++0RPGk340Tw0dKzM21f7PTgoc1yowbM0piWxvprey+VPF/IWaXq7mvSj9/P1LwcfOsH56wlZh12J/Ghp6Kt5lS9WGsncSmhWgMjxXcjI3S+859cfgt175ewv3np/m4U6MltvuZyYYEwZfPvBcyfozE+vWevdlkmeLtTMsKf3DXjBu8/qLg3efGmp8Zy89djlkLzZcrPj5RLWziOIk1sWxjdVXwdeqftX5xnzulbUMLb8Vf9l684+x4iVlEPr2TIngErWo2eQL/9wwZ5mm5QnF3x6YRv7nv01vQ6Kbguc1NbaImSkw11PIQWync5/8Wf5kySWJLr2S2uCP4lB96Ef+4fwpqEWi9SvErL564xtrzc9TtZu/uCe62TGvAjMkSW+eU1n/UasXrnczQ0nDgz/2lxt73BXdh9SriuVtXTTxt56N4cM/U4tlT+Pf+q0dahuDxxl8LGkzl/3zwxVdj1gjfo8nhdxe4747/kf9I8IsNr1U5TeP3Q89vWeN8Fa8OHqerNZ0/93POXMgU/Euo/ZCr3HeXau2YsFZ4ntZP91o4g/89V3pPfCL4x4TIeJ2ZElsylupPWiecQ5ZX/bzOfUr8rrhswa26RdsvniWx01+yR9qvV7zj6fQLerMlpqf3KOup4PszbDvf4X6t73q7yRsU/+Td+4inI38e2aqSngketdarQ7s5EtuwVL2pw0bF119vdv4+93mxeTNzBLdroTN65VyJka7bQQc/4Tw8d9HXTk4SaxEbczdH8MmrW5/M5B6+PfKtg79wPQ/uMHftPP5cvjyrPEfw5ECfHj3n83PRiLSvDpuE56lJl5853JdalbzJETy4S/s8f2f+fV25dcshQPh++y+422cB/75u2O/NEfzdkOqr+dznLDgyxSFQ8f6dsq9tWyix/EtHGuQI/i2lIm2AC39vSp8cM3mzcJ/8PL3oLfegyDvDngmutfff3xBXfm5Z/PGe/RbFf23/0GeoGz//6D+0eCr4ngQdtw/c972Yf3LSVuF7LFkRc3CRxF6eSfzxRHC1Js1+WS+W2MZj19jEbYL/k6ZWcF/7zNc3S/Dq8PKU4+789z698tT47Yovety3zzgPiWVadU19LLi+y/GoWu4xx7QejN0h3IfHWPaPXCKxN9vO330o+ITZmvemLOXvp800E0bvVHyE77/5ap78vjGp/a4Hgntt7tQ4gfvTmaWzbIOE8/wct5tzvCQ2dsTSNumCB0vPNjZeJrHenWIe2AQrvvX3vNHXuJ/VPLXoruCPt2p3dFsuscF6k2uH71L8rXPh3xbeEkuZmbL2luC+K9I+3eHu8KWozCpEuN6OPHi3bIXE1ny8NjFV8O/X3qs6rJTYT5eJp4fsVnz4xRaVj7nXrDleck3wpx4zG61bJbHCIZHtB/2n+Iy78X0MVvPn8v3FIy4LnnRMz/EV9/QB8owBexSvKdp+YIuPxEYdaz8vSXA3twb5pmskFtu2yYx+e4Xfr/5ug3fc1e9fYecFL36vv/k/X/65XW/f1mif4p7HEz9YrZXY6JZDVVGCD+hvN+sz949f9MJ77lfc2//Ni6Pr+PUwP3pMhOBhy1Y5jlnPf3c7a+UuBxSfLjf48oN7zBb1lScE903fvzNyg8Ruez6o0D+oeLOaNibTNkos2tlu3lHBp846oNLw4+e0jYE3Wx8S7hu5GqcucK997at9UPCiaa7uzv4SMzzVe1LzUOF5nXzFstkmfn6WQjf9J/jnDzXtbnGv9+D26SaHhXP7o871vAIkttDt7OWdgm+yMa/VD+TPqXejkhscUfzRUJMfj7n3mHn6/GbB7x9prrZ+s8R6fUzZR0eFz2FkbsveWyQWcOm/xRsFb91to3k+94kFnfv9ErxxB/X5O7by63CdV4lPmHC/autycNA2fv6/6ru7SvAwtVMvS7h3TGS9lh8TftepVzof2s7v59vvJX4WfLnJGZ9RO/hzbW49I/fjig8a65JbzT19mvohWfC6rz+sI3ZKrHrvjUrncMW3a85JnhIksetmA4e9Efyt/+4hGsH8/OO8dP3sE4qbDwu5f4F7+yHzo18JXtFn+twFu/jzVKWb4XBS8Wjz0r+6IfzzDAjIfSJ4P+thsXe4mwxKyB17SnF/y1kLvHdLrFvvsIz7gmdpD+ze5T/+fu03Ksb6tOKbz+RUPOU+e3b8hpuCm8l9MjbtkZjZ+5dsyBnFE29ax/Tfy/9+y9Sqy4LXtmse+pZ7993Oh00ihPO5fHj3nn0SS/ib3ve84JLmyz3D90vM69LHiwZnhc/TO+14BfeFrzJ7Rwj+o7Hr5ZMHJPY6eNm+TpHC53DnUq79Qf68+P3s01HB3TYl1VM7xP9+++oBrc4prm4+yzKJu3XCK8+9gh97HO3nHCqxgdZrDzeJUlzD5NRj3cMS+2xSdHG74IMdrLrd5X7o3L9b6tGKL9PfsHXFEYklZqpSNwrefKPjt65HJdbw8Y6YWsFTnPPdn3O/nPl1x8oY4d9/rapsc5jEev5uOfOr4P95RfmaHZNY6y1/W7vHCs/BFTU6Mvf//ovKUAn+8mJe0sHjEisdo+fhFCf8fjvZO9mG8+v8zYjfeYJHnZ3V8gf3zutM/KecV3yFWdWrcyckNny06luW4Auvtzsz86TELq2eMWN0vOKlhk/WNjrF32f77Y67K/ixZVqOKdx9T2//Zpmg+OwNT22XnJbY+t82hlcF7z68vZX+Gf69LLlnb5IoXFexH62yuN/Xb+AeK3ijeIsxfhESC2VNVvRIEn53Fo3m9TvLryv1V0tOCB5qNd3/LXfTAwunt70gfP5xHWP2RvJzVPfLJvsFn+Ezv9j6nMS2vH/0p8lFxd1D2naq5n78b0TKNsFbqOzcz0ZJrCzKZjFdUtzU/eON6dH8fq57rsE6wV/o/tbXjJFYpEf2wSrBrbI3bkvm3kFKbel5Wfgd7V/6yyNWYrkJy7aVCL7a4b6vfpzEjv0rLZ13RbgP/Nmh9oS7X/2eQ/IFr7fzwgH/8xJ7X2W40eGq4k6lw01N4vn39acq8bHgs5uYFrznbjVty8uR1xQ/W7Z514EE/j0aF366IXjPtWZjbBMllpVaWzEwWThvRI1oVsu9jdnr0gTBnZdFv4tOktjejB3ZBinCdXXb/YbjBYklx9edOyX4iH2bzjS9yL+v9gO9210Xnst5ZftvcQ+1GWy0X3DbHdG7vS/x8+cc9VdaqYq7hF7d3+0yf74fO+C9RfCBdS3OvOTua1H+57fga6NTU7df4fdh9+brV99QvP3hhLcWV/nfv+Dvhy+C29z4pP2Ze+Cci3ZuNxUfo7PULvyaxCx3m4S+ETx5i0mQfTK/X/Vbmzv9lvD561nkqqfw63lNkGa24B0ubzK+zP16uGtvu9vC+d+pwZ5F1/l70+vGVrcEr26QUdc2VWJNPdcNH3RH8d+R97wzud/aesksQXCdgT8q/W5ITN85uW2vu4qbxM3fYHJTYjcH7ywPF/w/tb/NJO57bLtfaXVP8X3GWQmHbvHfb1qQ527Bc40yZ465ze/zX1JbNkhT3PhbrdZv7ud+p8RvFDxs3eSH8Xf4eaDP1sE1gs+5+XyP812J/bna/uLSdOG8dGXjAr17/H2t0K+jJPjduROGPeCu/zx+neN9xUvihndflyaxuwWxD3IEnx4+Ta9vOr9P9vOpP/aB4pP7BGm/5d6+qbbZHcFnTC5qvv8+P08mrZwyOEPxpppju9g+kNi72ecWJgg+Y9wzi5/cS0dFu/R8qPj4VsvnxGVITC1p7fTjgpu7dN8576HEdha0sdB7JNzf+n++1fwRf46obW8SLHj3Nel0n/ujhWlP1R4rnjEgftzaxxK7MOLZVl/BTy+IONknU2JuBeeNygXXpMh/xdyve86+65opnCs0kxbvz5LYk6G5Y4oEf+57r9D2icQab+1+1yFL8U8TCmf+4t4ryNrooeDVW74Xn8+WWNddJlvZE8UntW/h7fyUn+czK7MvC75Hu1+Tls8k1n/XZq0+2YpvnDM6KYN7StPSQacFb6Uxd/6GHP7eul9/Wpuniu+nJW37P5fYeafuC3cLPn3K8iIVd/uLf53rPRPOFb88okNfSKzBi9jJ6wR3r5q5adxL/t9Vr49pheAHhw12/sd98nZ/Dbcc4TosaDD+4iuJrTwVmV4ouPuDu8MX5fLr8NAp38nPhfNPPQ/WPo//7mKX6z8QvHrPL7ts7uY99JIsXyie6bli9uZ8iVmM3jXwguBqYdk+gwr4e+js/LheLxXXa9vseBn3yyfrWhwX/PIHk6wThfz6ca5a0vyVcN5oPKDh1CL+XqO6fWm74CGbdMdpvubviUtdvv4W3GLc48Op3I1HvmmzIlfx+UudKpa/kVhaorFZqeB35YzJPYr57/rntOFz8hSfmax5I5970KKpVs8En/ixvenutxJzHdHbyDZfONf5UpL1O34ezs5tdF3w5osvWfzgPsdxbn6/AuG+nWqeGfteYvl9rh+JEPzkmsDF81US8wipHNu2UHHH44e1W0r8/fo+fQkRvKS/z82H3C92+eivXqS4yrytr58ssXYfYzTWCG6c6D90QInEKtxsfcsEzz1zTvMD93T5+ut5rxXv0vK/4mOlEvNO1DJ7IfhOTbPbkz9IrFXzgetHv1H8XuCBmAYf+f/v9KEXUwVP3BEffp27SUb7ov7Fwrmi06Zjyz/x94VLuTURgs8f3zCiRxk/h7gto7ZvFa/Ts75cwH1QH1XdLsHr+xs//e8zv/4nD/hA7xRftedR9cgvEhvZbX76KtEn6XX7xd2n3H3/B8Fd7jZyTPgqsTCNyQ5z3iv+ujzqmEs5fx8/31L9qeBxb8pL21bw++rQa6dtVIrnHCyyzOZe8Huw2VXBd+l7hm2plNhMdvhKb0lxu3UnNIZ84+cch1eG4YLHXfFeXc793NaqEF1ZuJ/kv6uIqOL3Z4OK91sEb1b2ZfXsan7/Cc40qBV8SdX+es1q+Pvynx3zlpQo3rXu2bF07rOe9tj+RvCyxpHD1n/n9+epZ05MLhW+RyPtT/1/SOx2gVp0muD73DRPlPyfXxpxZtAH4d+Ttm/usVp+fzZbuDtGcFv72B4OPyW2K8bNo8NHxd2a2/9o+It/Dh7jB+0RfExL/5wb3Cfd16tR/6R4x4UDr66s48+FZrfPrBZ8fINVZw1/S6ze8Yk2HwRf0Wjg8WLu1jdvP59dpviCNevCD/7hz4WMVtOyBO/lyKLH/ZXYNu3JD9hn4Xq7HXhD7R8/B8rLel8Q3DPJuvAq9/unVvp1/yKc24duVPcimT0KnXPvkOB5i/sP6K4mszP6Rj81vyr+yna2ZwH30K3FndYLvuBdbeIedZmZGKwb9EXwfyMb/7XVkNm42XVsXrniy/x2Tf3Dvc57ocUzwSOPbrx0sZ7MItMvdLOpUPxZZGEHj/oy+x778e8lwccnRuzp3EBm+es1H/esVDwl7VWTXO47dunsOCz4u8pl+0IayizQ/J9542+KPx7l1WWkJv/nn+S+WC/4lSfZyb+4xyQccfkiuF7YPsekRjIbaDJKdqoSzoHJlxosbiyzjNiC6U8Fb2hhdr2jlsyG+s5OHlEtnFsMdNa+5H6tPK3JRcGDQm2G72ois7gl7SZ3r1Hc9WB2M5umMksb5bjtoOClJkmffnL/k7s9rsF3xWljSVaitswObjh5b43gBds8UxbpyEx399nHHwTPmzcysWMz/ncuCk2b9UN4rrVxT3jJvdtCn/hHgmfcyb+6S1dmPV5b7xxaK9wHlh54aNNcZgX9/0yNE7x771DpF3eDlLO6HX4qXqH1VvNCC5kNeml5K0TwU908B7rrycznzd25fwVvu9nSs3NLmR02HfzF65fiSy3Hn8/lfsT4uGex4GXOR7/vbiWz5H7f3kyqU7xDgx5jbFvLbOP+QSNuC3596KeIP9yTrnoe6P9b8dSWHxpdbiMz118H8k4KPvqcvu/StjL7mny+qe4fxdM1tpV3ayezsqnXBgQIfn9Y1+WF3If0vjy2UvBOS8t/7msvM/UjEQ7Of4Xv5UTZrrH6Moun7eOeCW70Vc9QvYPMKm/PMR/xT/G9S9yfJHO/YdGzWZLgF/uUbvDuKLOJj1WFnenr/3Nf211mhp349/jq4OE9gv/Kml7zlnv965a2pKb4zryRtw53ltnPgjxpmeCJ66fus+8iM/tQj1XFghtnbfbS7Cqz45O/VU9UV/zP+6dTbnO/umS5203Bxz63sPbtJrPrdnJGXw3F119KtejfXWZNRk/WPy54v+MzhnzgPin70vwm9RQfEqE58mQPmXkNb3ZoveDn3mZNn9lTZkf/Lkz9JHiq+9kVzXrJbJRn4vNZ9RWvnB4SmsHdsKKmMEPwn7c2p28ykBkrM3s5qIHit1K3/R5sKLOHdz1vRQq+wPWAZSX38YUnj7ZsKPydOTFbo3vLbP+RJ25bBM9vn5HrbCSz6AU/ulUJruH4ybRdH5m9CWuf46ypeEqUTmgO94cxQ72fCm7ScWC94L4yG1kzQ401UjzvheM6G2OZebxbHnhecIcSv5913I+/3FbdvrHiG5ceD7jUT2YBg4/OCBJ8ScDl5p79ZabmHRtbK7g7S4/rYSIz25KUCjct4bq6/WjSG+53/2X0fCl4Xue0ukOmMuvZ49UEmyaK165NSJw0QGZLb753TRLcrzTIS9NMZlkDyr06NVU8Z8tU8zvcH3ypWxwi+HbPxvXXmctMf1qjqXWCr7wR89p0oMye5bTu766t+NE9A26VcTd62uvPK8GZxpnoiEH8fnLF4vpIHcVzTX4cmztYZnYVEzwuCK5nYXyklYXMSktcGndupnihuW14NveKev5hIYKPG2UVt2OIzGouHetQJ3jKFt17I4bK7LnzzT2LdRW/pnvn/S/uUT5S9UvBGzUeq3XJUmYvnXTG2jRXPC44xtLTSma/trI9iYK/vPTWp+cwmdHM1Q86tFC85syn5GLuOiOSyoMEj1lzv/4RJrM956s0awXPnbhitsNwmZk1tmrhqqf47tGfr2qNkNmneyHaOYJ32GLaMZ27ZFfya1hLxRt0sQnxs+a/Uw27vFjBGzH9+oNtZHbHJTGyTSvFW/29vrWS+9T8rm5bBXf066wTO1Jme7PDW30TfNhbu1Muo2RWfbn7NafWis8c2d+yo63MRtRdGvtY8A2Pc4tzuftq2z8Z1Ebx5EOWu/bayeyt03frCMEnP5gzYtxomf1zjIpq1lbxG34D/9Ubw39fq93+bRD86psH6Te5P2xvYvdR8J6NdA76jpVZ5k3NTdPaKd63c2NP03EyM8/+En1HcCPbqxM+c8+78Tatb3vFk47rDYocz393de+eHhF815jOhvMn8HPar8qs+vqK316a163dRH7/N9JN9RZ8Z++hvV5wf/SPhb0W3DHSdsDuSfy5+clvyZgOir/T+Gk32l5mLZ2e9Lks+D83e1f1yfx7yTQu7txR8RdVY4NTuVP0ycBdgl94UpLs4yCzzW7dW9cK3lO/a2X/Kfx78U05trCTcN1SXf8y7v4OC1tkC97h9LK1Z6fKbN3iTuuHdFb8WXe/R/OmySzYuPz5WcE3xXfv3m66zFq3fd5Bt4viT1yct73gnnbs8cwNgh/3NK3cPUNmq4zzt5QK/vvrQZcxM2U22eb3KYeuwnWoE/RWYxa/nu3NE28I/qm6ietN7h6ZWxIMugnPqfv633xn83Nan7IT+wWPi726fYCjzGaULA74K3jZo8IeX7n39f47xb274kXjtmdGzZGZm01c6xeC95x+bf3CuTL78nxF5rAeiofpeg7o6CSz8iMOK6IFnxh5piqPe16T8Y30egr3W8vZqfvnyWxKxLy9foI//L07ZOJ8fk7IC2n8UfAsneGLGjnzc0Xn3FVTeim+JXzJmDTuN74PfXpD8DY5Omb+C/h1m5Oqb2CgeMXz3r2GLOTXVZ/Zs/cJHpGV0rWGe7Kf3s7fgjf4eKNnoovMBlh/jnIzFD4He9MBS1z5uaviXfJTwUf2bTW6pxu/Hup9vz6kt+KqmEWu77iHfTdIiBD8YlX34GOL+P3Zev1+bSPFz5qOT56xmN8PF3xZ7Ct48b7C8ubu/JyW49/vveC32DPjJ9w1mgwoHddH8TcuRj47PWS2MrjhnsuCaxl/SB+5RGZjMv8YduorfF8P6nekpfyfH9vq8g7BP80J9LvOvU3gZJNvgk9vP6fUx1NmEeUJ4Y7Gio/ut3emqZfMbumY/kkT/Fx6p5wv3KfNyxtv3E/xI1oNpkYvk1mQ45mQUMHXGFu/cVnOn9cB+29Rf+H845izvLO3zC5Oin7vLnjwnUtaRdxNbOTvOYIfCCmND10hs0UFdr+Hmgjnw6+LZ09Zyb/3/c++RQj+UneQts6q/zsnBBY0NVV8cC/7R4+4r1w056KP4Gzuhd3bVsus2N9pY7HgjVSOjtY+Mlt8Zefg0QMUry4d2/8v95igN1Ki4P+FbWyaskZm2zbMDWxrpnh032/fVvvy97ImDXUDBR/xJPKtyVr+70ku3PNJ8NDzR1594S7XL1KbYq54l98ZL6LX8fcgb02X64Lv+mRa6LpeZq83Ol/tNlC4z0e//NhlA3/viCutCxa80COB3nAP2xhmUi344Hk3Ox3dyO+3qzbOnDNIcbdrZDfdj7+/N9+9PE3w/lGrfJr7y8y7IGttn8HC/WR+m/gn3F0nWq06IHhxi09fgjbJbHRl0bzfgq+uLjW3C+DvobbnLV0sFG9o3mybRiC/Hz6Nb5wp+EZN5ze3uOu0eP9wwBDFv5/KG7Zhs8wW7LNbFyb4Q7PV5wZv4ddVTnF7jaGK76g2a1PDPWV6bLyH4H/0Wu1N2iqzFRExpjmCGz1q1dxrm8z0hr85Z2Gp+ITR5mG9t/P38Xhb7VOC591b1qeUe/fVkqumlfC78E5LP7ODn6PaXotfJnjrbSaL5u/k12fnux9eCf504OVmHYL4+aGZht6wYYr/vTbhbj73+cvX9z8ruIn1z/WHgvk5JN1oWBOm+CDNK1ZTdvHPOVTPaqXgTUcENmwWws+fSwb2LRC8puuc/EzuGY/2ao8Yrvh8acTFnbtl5jS017tzglOqyUHb/2TWe9SPCO0RwjnqraG/xh5+3liuPnu14Od3Gnjf5v7bZgwVCT7oq9GSjXv5v39MZqi1teLSKFPPIfv4e6Xmrs7Rgm/NsFjzg3t2451HdWwU7xg/fOel/fz3lXevvo/gH4xHnfE+wO9XdZYLigSft3lUuvFBmX3+XZ1gPVK4z0isvIz7LrfPX6MEtwky7RJ9iF9vd7t10hml+M349o5uoTILPxo2fLXg34N+Hut2WGaX106dUij41pmPSt5yn/xp4owRtooPnLxrcPgRmc1aEzz+nODaCVb7HI/y94jYxgOa2iluH1dU1SZMZjtaZDVeKbj35kVzX3GPs3j+PE/wHsuKnuw/JrNhMR12Dxut+IwYi9GTj8vMoTLOIkJwo+UbH2qH899jWMCrRmOE817dWYdM7tvNjrksE9x9Z5Jq5wl+Th7zR/VC8CFTwzfYnZRZ7OKzU4eMVdz3sEeH+qf4ebjDwSsnBPfYp3f/Lvc33zMb1R8n/H79jvpsOs0/54AJEz1EP/LLeNgZ/v87rvWWbMFndB5QXsfdROodazZe8U721leTI2R2Om/HvSOCW7r13L7mrMxqr5pk/RV8/MnXTuaRMmur2zNj4QTFO1u6Davi3nml26UMwe+vudkj6ZzMvDyr9vadqHjAXklvWZTM9v2XNX+f4M8fvNLqGy0zZ/eazj8EXzFrf+My7iVBS3IcJwnf+9Y2utExMnPf0n/1bcGPBrl0WhQrM8+SkY162CueGLXavEccP/+MiN69U/ABncZOUXHv1cup/lfBa/u+9T11XmaNDFw8HSYr3rzlwMh58fw5+/L6/SuCP9AbW9ghQWaad1112zuI5+d2bYq4J/otmOAv+KT5Z+ccTZTZ++MX1qkEz+n7MWpmEr/Ok6YfsZsinFtaS79bXZCZ34RJ0bGCj3Q6MPMld3uN4zE6U4XvcWTt9f0XZbbcbfjxlYLra2n3crgkM4PGQwJyBf9e/fxIs8syqwoImj50mvDPjxytl819t7NphxOC6w51PxRyhd83LE1fqk8XzkX65p3HX+W/l6ggPzfB44xikhpfk1npIMu2jwQPiL0/9iH33Zvszvadofjm4h1l25Nl1rz1+a57BXfUKt9vmyKznXs891YLXrrih0396zIbFbizcsZMxa1nn6y7x/1ZgJrNdcFv1/+QEpjK/3u7v9racZbin5MzA0bckNl5Nc2UAMF3XR9vTzdlNjA+tFgS/PQkt563uKvf2frdbrZwfrjeup7fLX6efJrzN0bwcSPnfbS8zd9rVvnXNnUUnr/9hr6q415qvUu1XPAFadGPUu7ILOv5z1vPBT9qF31/7V2ZHb2ZETJwjuK//w16NPiezDqE/Rx/RPAOZlNf/uA+Xy3kT53gD3r/Lr2SJrNTOzefcJqruJqRsbpPuswcM1+b3hG88YYP3czvy2zkgmNXuzkpPsvVcEI1d1vpVt9tgp8xLt948QH/vspGH/wg+NNOg6+syOC/U93BX8fOE/79AerfTR7y99bykMHnBT9/dLxVJfdLncat0pmv+JTLersSH8mseujyU96CP2k76/2yxzL7782fW88FN9RtM7xfJv++TldnmzsrHitNOvv1/7zLtGehgj9//Vc3Pktmgd87pf0UfKZtt22eT2R29sa0KMcFwnNz8XW1vtkye6L7Y+MNwQND0rd85n5od71RnRYqfpWG68Q9lVlOtt+fTYJ7NTE8teQZf655u517L/imOr8hRjky+6uTaj3SRTiHtB1e+Il7kt2m7LOCWyR6bI55LrPply9OaOiq+MUmf0w9Xsgst2b6jcWC91lX89HwpcxmR3p0fCR4+EiHqI/cmUv5ciM3xa2u6XpFv5JZuyz50i7BV3cxHeqeK7PrfhM/fRG8LDNJxzCP339a99adtEj4vTf8r+wD95Nmaw0TBZ/SMeNJVL7MDq+2HKC7WPEkJ8fkxQUyu+u7yniF4Iat7GINCmVW73WX9s8F37JvZ8QH7n4jRv0c4K74nS5dzkYVyWzLqOKMA4K3b97k/OLXMju3o2JnjeANL4xONXjD7w8xay2neyhuZv8y5wP3g+PWv70i+LahiRVRxdy1vq9uvUTxrvdyW7q/lZl+8KffawR3GTjW2vAd/717zFqdJ/gbqb7PR+7bx9kUD16q+MKOjZKi38ts3pOoIUcE/2HqUOWu4p/ngaDtPwV/t6LYsrcks6fsY/osT8UPGyeEfOIe6Z1ekyx43pVbcozM36MzO7Vu56V4yBydUUtKZDapstZwneDvlh+LNSrl55zNk40LBB8yyrXtZ+7pPXp3H7JMcVOjxbvjPshs6brNWkcFP73qTGPPj/zv6e4k/RQ8bGXL3X0/8ffoBynxs5YL99t1qW2+cq/X8KhHsuBBhYdi4sv4+9e2363beiue9vG0zbLP/H748f0VX8Gb1r5R9fsis4UvJtjlCX5o1pjgCu5ny6weDlqheJbzW4ukr/x6eH7RMlTwaS6ny73LZWZuknjqu+DNLofEmVbw96DoAbXTVireKurk8iruL98OG35Z8Ot784deqpTZ2o05a/VWCZ///YHaq7/JLLl7ecRKwaeEXSk1r+J//4aDd3IE13adkfGd+4be97NNVite49s68Wq1zIa/DMjeI/iWPjXhvjUy69Tt4e1ywV1efj1g8Z1/jynHzkz0Ee5LD9X3/eKubfNnzXnBfzr1O3T9h8yaLiyzarJG8b6fV5zaUCsz3buLajwET3rw+KLVT/57b7gy/KHg00cPzvrLfVZhUwsDX8V7pl/5cuuXzGzkwenbBHc9OKplQJ3MfLKqrWXB9zRT2Vj/ltlES+sLNmsVn787ZK3GH/5cLujS4rTg991srqRxn2l/wJXWKV5eqf5r61+ZjbE7Gu0k+LAdj0ba/ZPZ3MVmxamCTws8fEiTSljtnIUN2q8XrjeLJeUPuV9+0qvTWsF964+YFKxWwtwWBRrmCl46vM2V8eolrPmzlT3MNyheNLK8m7ZGCau5/Lv5fsE7Lkk7nM3d/3aHbxWCRzQ9pLe3XgmbGZZ7d+JGwbctCHWoX8KcKntvjRN8T3+DLnoNStgJzzYWjf2E68pNTnrJ3eX6yTeLBFcPPDwmtGEJM9qWtjpd8KBi9mGmZgk7vXbL367+wrklPz+kXaMSljjine8mwT9lugwp4r4yqFB6LXgHveIvxxuXsMG0ynroJuG8rWUXNU+rhG2bFLv3sODndMLcuzQpYa17BObUCH55Q76Jivvrvj/rTQlQfH0CqZ1tyr+vVrqGiYK/q6eT66ZdwtJCHg1rGqh4ywL1SwY6JSyL9bT1EHzF/8d0fcdz+X5/AE8qikT1sVdGCJWMSuWSkZTMJETISEQkiajsKGUTirSksmVv0rAaqOxxD4mMVCjf6/fP733+fT7ej9vtvq5zzuvc+JI4hr37iwR6BTzxUlzgM04CdbG/kpEIYrjZ0lYvNy4CzQetXXUNeJ3fE9ft6/H3n/j9oRf4piNLLtPYTyxcj1UNBnm+Q8GzcAOB/hyv1UoEvnRa7Yr3RgJ5F98jZ4AreYjH7vqPQEz1kpcNQxher9v/fB77iq1Hlz8Hzm98rq2Cm0Dcj2V9V4cyvJf++CuAh0Br+p4NOwAfP8cmtZ+XQAOB3Wp1wG111lsx8xGoTTsnUjgM9LcWMrkRu1aXwhtf4H9PRfSG8ePzIm3mO4H7u/yWOiRAIDfpfYKK4WBea2+/xC5IoEXdV9tuAe8z2t7Rir3h75LSN+CeM3PbooUIpPKTlNW5znDvyMB4E2ECzQxe2ZgJvMOvg4lbhEAfLjRP/AP+ZPOQVzf2Xru6MosIkJMn8ifuiBLIxNLNpxi4n7KGu9UmAj3kapFaH8nwAeuoORExfF67+pvPAo9viQ8ewp4Z+NDyNfD+kWN8D8UJpJgpOiBxA+Q01vZCJwkCOR8xOnYV+JmUpWNbJAn0UmlX1VfgFstHlsaxN7B38uy8yfC9GX45OZvxc67LnooB7tPT4OApRaAC693p34Hn8FaJKUsTaEh9WdvBKIZXlzkQv7A7j1ydzAReJVWWWyZDoMm/5UxLwBcbSq/5byHQEY38lRa3GL7yt525uiyBbjnaLxQCT91cuJNZjkBzIh+G1t0GdVScLdiEfUZ8qfwM8BccB1mvyxNITpoObQT+KS5s/vBW/P2HojVFo0EfyDk9w7GNQIOs81O+wCua6OkO7FlGYjGfgIerr/4Tt51Ae8+zSWyPAe8Z3LjyuAKBkETx4wjgMfOCfAI7cB8TEBcaBb5zDYdiH3YBTpNgFAv6iUCiSYYigXaWHuhNBj6TUOxrr0Qg3dZ/UrPAX4+ceSKljL/zqsv2+nEM/3g2v2cM+z/+6pgnwJlTInleqBDoQl1z/vJ4kBM+zR732EmgqKLkhhPAK0LH05V2ESj/2Y7mYuBHeD0mf2H3s4mr5Exg+LrZq1rluwlUcr36wRngfMH86QGqBDo1WOjfALxkx97lGnsIVCh64aBwIqjTMyNnVu7F/YeJaaUP8P8SuL40Y1/cY17QATxWtM7gxj5cj5EBJrJJDJe6MPvWQA33vSyP0WDg+5ce6W9A+BwNFJ37gN/c0t3Vid1sV0PfzmSGT9mFOt1RJxAhLHkgGvjNjbl/rfbjeq88dm8MeEm2yZ1NGgSKaDMf07zD8DXx7vtGsRev2yaVBlxv33LyiSae77u7TOeAR3KtSXTVIpALq4m3QQrDV10JObJdm0AKuzLDnwBXnfFcM4u9Irj5BlMq6JNf21teHiDQ5qf1gRbAhx6lJfrp4N/bx58pAH6urssJHcTz65yaFnsawydS/dWYdXGdRlavcwA+/+CmwCvsFh58LZXAz+quWoo4hPt5v95l7rsMt/wzSukfJtDaWAshd+CcErKf1+sR6ImuZu4r4Bt3f2zrxD5Sw6Iseo/hMk/63905QqCE4ifZPsAPDx5ut9YnUCO1eWMH8GdHeb6IGeDn/xfkJpPO8BpP9TEC+8OFyrJrwLc9a1yWbUggU/Pu35+B93s8FHI3IlDQ9/fSOzLAfFTqU1c0JpD0xReHIoC/cHQ78wu7W5GL9RDwMp+jd8pNcF5yYrNXvc/wLz1R7VeO4vo6EmUZA5xnpeBaLVMCRW7+qTUGPPfUvAHrMQK9y1cX1chkuIiLdPI77Jb5Ht+TgQtGPaBumxHo+mj4syngceismulxPMfZw6x0HzA8f/rqHT5zPAcp12UZwLv4+xZ7scep7on/DTxTNsjhvgWBltVPCxg+BDkwye2joyWBTmrGxT0GXt95V1f2BIHE/UWX/gH3Nl/fOIl9TCHJ8tgjhl+Pf3Wg0IpAgeKLWc+BVy9VtPpY499vODK24jHoS2unTuw7SSDjxkjBE8BzdthNMdkQiG++RL0AODvBcaMJ+zuvT8fWPAE5IfWnXKQtgeR/D1rbAu9/t/GjgR2BJHX6j5cANx4/c23jKQJ1SrRqrctieJDHnNJn7DeP5og5Al/+oWgizZ5Ar5KDpiuAp4Q9fmHnQKDtJYcLNzxluOGqN15SjgR6fJ719Bng9k0C+8exK94uW1sLf49SNuQ5EWjje7uHPNkMb6QOjF84jef+X6ZtbsDzVYXeqjrjOdiV9LQBuPpzwdwl7LUS0rwCzxjeXqKZ0nAG7y9ZuRc9gP/7dPvGdRecE+QUX78Cnu6/PFjflUAXPXLZhZ+D95FOvLbhLIEeqMloeAEvMzwS0o39kfld5zfAmdzFb6W5EcgmnDNI9AXIaX957tm54759+2qUN/CyCzJFUucI5L97MvId/L3xsY5x7LEHrfzEchh+b23aTJ4HPpfgtyd8gO8UWxS46Emg8ULV7a3Al7F5Htp7nkB/72X/FM8FfUzzbwCTF74na0WeXwL+Rju1tAl7fX38sTbgeVFH5iMv4D0uknNaIo/ht5LX7TfyJlCe7O0rvsBdhwZucl/E+4Xrf0ttwINGqwe+Yt/PnXFOMh/McZHs3Rk+BPr8Q/GjL3Af9owkx0sE+tLQKtMOfFYm/a+sL+7DFp4ekgUMH519dHoKe7OfSLYv8KdjBZ+L/Qh07UdnZxvw/vBGw8uXCaQWmDwrUcjwY0e+tOz3J9DReacVvsBFin8YsgQQyEBMc1Ub8Cv7Wb68wz5aLzsvXsTwhbOCzjFXCPTridiAD3Cjsq3/zK4S6E6KdEkL8HMP9yYLXSMQh6NaoFgxw6NfaKkOY695b692ETi/qfbgk0CcY5+ljr8FnsO7L8otiEABlcQN0ZcM335py36lYPz+HZoiF4AXzrHN/8E+kF+Y+Rp4NNdASXUIgULkVfmFS0D9HnroHxJKoDr2T4GewCs2WRw8HIb3LMHQ3ibg7bx/ebnCCURJ6W8RKGX4u9wbk53Yixbknd2Bi7mwvEu9juvl1OY79cCDXru8sIsgUJ/crkqeMoZ3HilJkI4k0FZx+/cuwNV8vwVPYE/ekP25GjhfB/OlwhsEYn279sOGcoYvfVzy9L1JoCTum1VOwKtZ+zzVo3AurZdJLQduP5nqs+oWrvd7Iy7rKkA9su8Jfoc992KV/Cng+UPF8TG38XnxlwwWA4+e43h+PJpAyqbvw9ZUMrzp7f43wjG4P8+tFbUGfpU48n0Ee/Y7l6d5wCXeKnBnxxKI59H45pVVDDf9903LI45Al42i448Dn1jhd2lnPM7JaRZz2cCX2/cW/MXeZa6ruwR8OJ1rtj6BQOym1lHG1Qzn3c+tGpFIoErrO40PgTu+oUMMk3BfPfBv4jfwN3URXdzJONd9jVijV8Nw39xfW3uxy06q894DTvFtu5F5h0Bihpt4p4FXh2ybdE4hkEib3BrtWoaP+P4y256K88Be+4lE4N5XQ5rmsAs4NzeMAW8T6latTCOQj6TFzX114Dt/+V4YdBf3fw3+g7eBH1drVDp0D+fV6NU/h4BbdZwo40zH32dEOk65HsxrgQLtLuxr2S5JhgPf9qipMy2DQA7d80++AJf5E3/W/j7ub0I5wvINoA+niayRzSRQ2POE0CvAJwTtcH7C39k8f6ADuNayE0dLHhBo9exyeYlGhut3sC2/8pBAVQbXXbyBj/KdK9J+RCANdCC1GTiPfZgb+2MCucerVvM3gX6iaij/AfshSaePrsCLNr+eSn5CIKa6d1+rgNsW/ii3ySLQtJrrJ85X4DlujZFST3HudT9QawfcpF/bdgJ7q9SJe4XAlWPP7S3Kxnvonhfuq5oZfvk/LaHLzwgkEbBvx3Hgq6ermDWfEyi+YQ2ZBfxXYf/k6hd4Pg5xRy0ATxp7MNiOnX5uJ3XkNcMviaz9nJhDIK75ify7wO0GuDutc3G+Ta3Y/gP4sbKabsk8An10fpe+/w3Do1RXD45jf7lThDkW+LWJiYmCfLxnfS0yGwHec+rccr8CPL+2RN9VfsvwSOkbAhqFeG+dz+sKBf7ijbrq6iICfd/Ex9wNPLP7hnU79n3er0Rl3oHcMugWnlhMoKGWyu2+wBM8R19av8T9fGlxx1vg7oKT45IlBJobCJESbAF1dDZC6jv2l7rmHGeBK80VORWW4vvD6UNWAj+mfe65XxmBlNiH8zlaGb7528vfGuUE0tyYcu4k8I6LkbprKgjEsixDNBd4mR99rwM71+OfdcvaGB4Y1r6QVInz/GCymRFwZjlkZVOF809oVF8G8CPzig1S1bj/uH00mwb+LOj59knsXh6u9RrtDM82f3q/uIZAjqfNNsUCZ+GQ4Q+oxfNdNsFjGHjZDulE7ToCvYmVKVTsADnB/BHf2noC9V9aTwcBV+S+n/ER+3ixEedH4OzzfNtSGwgkJ0HJSLxnuFMSe92pRgKtSulU9gJuG+xjIdtEoHU/hZQagOsanfg9jf0fW7XExg8gD8QUp5S9IlBZaRmLPXCnnhCtwGaci7q5eguAO9Q1T+u+JhCzRuMD5o8MH+v2f8T1Bu8pHZ+sTYC7FGae/IzdykaLLRN4Ir1LOOMtgQ6/4Xo6Ddxi7d6h0+9wPqTV9mh8YviHwuzs7S0E2nDnXVU0cNsLob6/scsVlysNAr8z8ka/phXva3xr07Z3Mtwg6aJ0eBuB0u/V/roCPHRzJIthO76fEl+02oCHSa4Y5+kgkFCQWbBwF8NbZQc/9WO3TlItPgt8fbto4+P3BJJSD/5SAXx/Vm2p+wcCtR9TnmLrZni4fl3Bzo8E6i7Rn7cArme2qWAJ+6RGx88s4Jste1+++oTnRUfl8G/gP6dma291EqhY478Gnc8Mry9w7DDrItAtz+6EBOD9uxQIkW4ClauxnhgF/o7PZBmFvSj44QalL+D+TL4Ryf1MIFGxvMpA4HrGiVo+X3AOn5W16AC+uqfYTf0r3gu+cNMiX8F8l5S+y9pDoKY8zzNuwKNf0+/bsQceV++rAD5gM8+e3Iv7w/OrWmw9DJ8MOa5n20egjCilNHPgHB+WR8v0433/6wnqMfDmoV9fprA7eM5LzgEfNVDZUjaA96wdHMe0ehl+sqgiIHAQ70cLST4xwM+/uN59aIhApc9Sbg4Av9WZsnPDMIFUJXnit/Yx3Ob1VMpX7PNa7LcuA38jFrHywQjOXd/8/N4AHw845eU6SqCvfxwtePsZLuJ7mVIiCKRg0CrrCHwm94PtX+yK7/InC4Cr1DgNNJIEsjP67xHTAKhTrZ32URT+DtVz+gbAj/Sofz9G433kl9lYKvCv4kF+ImMEMvu822cM+P7SRQ4Ku61O2u+dgww/q/rsce433D/FglxCgAdq39a+NE6gFXrj7e+B9/k8pvZ/J9Dzh5+lRYcYLnD+x+01E7iuufTOnwXO8sFZ7QN293NauWXAc3aun0qZxHnpYX0/yzDIw+rUE/sfBMqJecNkCvzSjTEH+SkC6fBbcN8H3lHOIz2HvUf4vNAkcH03t8mqaZw/g7h59o4wnF/re3nYDM4PMtrM14En98bcNJwl0N65pcFPwE9/tbLn+4n34rc6BWKjDD/Rp6c+hP3gDaGL7sCvh1lvyp4j0FvBQPkK4Mo+0SxevwjkbOPdyUqAPGw0Mr33N84DqgsepsCNik2HV/7Bf/c217L7wC/ojHS3Yr+iVXZ1Arj/46gPifN4L9szN6NKMvy9j8kHmwXcny2azMOA81grdMss4t+HyOZ/AC41v3loGntdxua/IhT4/Y8dU+V/8fePLVF1Ba4ybLIy5B/eX9DQmRLgay6GC+sv4f008sHNFTTIFQZte3mWkejliWWZhsDXc0rZDGCPTJp7mgrc2yoqPIuJRHclwh9SwMe+Mhd7LidRKVEUozQG7uH2UGoPM4leNVz1vAp8+N8G0ZUrSNT/gNZ6B9z2e/aJVuy7z06t5v3G8KF0vbuJK0m0Z0Vy7Sngc1WzIzarSORqOOiSA/zk9/vbt7CQyG/XW9YF4Jvem16bwa6ZaZZ0YJzhbhvYuypYSVR5MYw/BniFWYNC6GoScaRZ3uoFnq/tH22whkSB8x/npL+D7x+sPMfLRqKIi7OGXsAdy76dHMJevVCWVg088dbd1mx2EvW5yfSumWC4ebaexoW1JGotUV93DLhX0WyZGgeJEmqZlDKAT5jG72Jdh7+Dx9nD48CXlOTLO7Bn5Qab7pxkuOBCmUYKJz4Xp4PGgcDnDPe12XOR6NyV0v0twD368222rifRmYFucd4foG8Y8P/6hT37/OPfdsDXHPaMqd1AooNim2ueA9/oV7ojciOJrnwy9f0NPPX6RNfR/0hU5L1TSnMK5HBRzkBhbhJ5Tr5tugncdUxQgcLuKLPRvBu4S/SG0TweEjlzcPWJTTP8aM10mh8viS6E15ueBc4pVmqpzYff/5pczUvgtbYOwuv4SXR0RE9o+QzDm7bMjXZj77kjeVYPeL70mfz7AiTqvvUyJwH4MZaaIFdBEi09Zx4dAF7qOWeuIkSiHQNr1srOgnPhYVdeJkwiD65WqQvA/6QvbXyD/ZucvnI18BWVbX9iRbAL3VBe/ZPhMrx+w1aiJKLawqVNgEedXPZeahOJ/Ldqc6QBv61u3TiF/YxkHUEAf306trJcjEQx6cvyt8+BfBJ6tyxEnEQrbzCd8wV+/EBAhYEEib5/aBRtAL5oplDPJ0mi+/b6DWt/Mdzdubh1+P98S6qFGXAnGfb+55tJFLY+dzgdePsBhdmLUiQSWB15cgz4x3MSHBrSJNJZkG9V/A367bEROXYZEvF1Jm/zB273xN2wE/ur0LagJuDH/2v0Sd9CoqfzbW/W/WF45ZHhh2dkSbRfJHWFOfDPTK+7lORItH1ISeE+cMkhL44l7GoKKYbfgFvcG9V9LU8ii/k2O6V5hjuM8UXEbsV1LfvRyR+4hxdnm9U2EkkVPDnZBLxn4hWv9HYSuVzRP7RuAeQKNuQ0jX0koEnqOPALfl5lFQr4vqVz/U4HfnXKcX3YDhJJvt9eTgN/JvKfu5EiiR4zS3rsWATvU+LfLqBEonfik3x+wK+73VMhsLduul1UD3x01icjV5lErN9Ztdj/MvzpP1YuPxUS/fGyaDwKfA/SD9Heic8xK2R3GvAdZ3T+rdtFoopLkemjwO0UZ/y+YD/Q6Tov/w+ci77hvwe7SfTrxRYdb+jnrELcVUm0fLYxtAr44BE+LtU9JGqOR6Wrlhj+5E5gxoq9JKoLTurTBy7InqTShj0hr2MuAbij2fH25H0kYl87ztQPnFKoc7NXIxFbOLW0ednk//suo49c2xCJHm5o/uEGXN7lZukf7GszIj8WA+9QHndoUCdRyial7H/ATztNct/aj98/tM7rABPD3Yvj35lrkEipbqdCFPDUz72hEpoketAYN/AJeE9Yk/Yk9oXAL4FCyxlu7qO/ukwLf+fx1bwOwN3tvDqCtUmUNyOe/gx4xV+VuwYHSBQdKSMwC3zt8nh3fh0SHX8kcH0PM8PdpG5qj2LPUFmgA4GLbRYWzT1Ioi3bXu97A/xh8YElX10SvQ8MDeZawfAn0SuHtQ+RKFVCqeo4cKFz5m85D5Mol+XD2D3gkmz7S75iNxexX0MCFxMsz3qkR6IVJynBrSvB80803fM4QiLtMhuxC8AjQm3v7NXH91+ilb8C+DuTyGQWA5xDYhRWMa9ieH6ARtp77Bq/Ikd0gRfWhjxMM8TP1+krug08tMsk/7QR7lfeMr5dwDn9susVjXF/8HVTEGZhuLdT5Od/2H9qv/hqD5zn+PTMaxMSfWqlfbKBB7L2r48/SqI7q8VWTwO/rmSoYmOK+8Y3sxu7WBm+LUnLWvYYifJP31h+BXjBZFnEHHbjizUujcAjf+WV15rhucz+8xXbaoY7uUpP3ThOIm8hWR5j4NvYhGSPm+O+nX7KPAk4U3SUs7gFidZH3IvqA7673O/ZBPYDHf3FEmvA83WGZ0otce5ykXx/BvjRmXoUcoJEmQYeA7nAl/sL3ja0IpHW+YbBOeAv7n8bEbDGObBFpHMvG8Nfi21XI7HHmQRXBgJfKqdS8k/iHPh3OrEZuIr8xn/+Nvgca10dONgZHqacZ69ri/9u4rTkUeC6cVVtG+1IJHIh5HMycLbVe9AA9ljjzVf7gd82kSzIPkUiZqlOPsm1DO9SvCx70Z5EE3T8ozPAuc+oPdFwING/GMfNucAri8/IcDiSaI5PN/kncK8vSy8+Y6/xVltS5WA4b8LirodOOD9k6By/Crz+6clX507j949xeNAIvPGzlMVeZxJt3Z88vGYdwx+PmEyxnMF98vHwf4bAZW4O3fiAXadCe088cO3493L3XPC9vVRj8gW4XLVYxxlXEn3pOnpShJPhh1o6LqmcJRFTO7O1PfB9gX2bl7vhPmPZapAFfCRdp7sFe4xnkdIEcINxtqhkdxLFrytjV+Ri+BupLQcdzpGoRLa36yLwbu6MVQoe+D1rRBIqgCv7u79exL70KlCHaT3DPwjH3W72JFHLHpZxbeAD1WtPxJ3Hc4H7RVAE8GqJr7I2XiQaNvThaAPOsX5hSfYCnheE440NGxiepufa/Qt7ZofvXzPgAcnyRfXeJApmL7JNBT5TuS/h1kUSTUZzlw4Av3Qlxc/SB/eBE+nMkhsZ3pyp7SB1Cdedk8l+Z+BvfqiazGCXfrHd8znwB3K+2tW+JBKV3Z0wBfyl0PK9kX4kWvx89rnyfwyPj+hQMbtMIoXitpeXgK9TJZXF/XE/Lz9ZVAlcemb/7knsMqPCj5i4Gb7Jf0C9PAD3520cEdrAz96r1Qu7QqJDCVttrwOv3DRywuQqnnf/XZNtAT779oCHyDWcw7NW0Zw8DN/hSF3/hv24QU3yUeCtJa8evQzEe83ynH1JwI/eGH4VFESi3uoPH78Cj8xS/W4QTCKT4G0nRXgZ7vH5LbdgCN7f9ep77ICrjcZrUdjZuW8feQTcOiHRuzAU/93ehDwauE9x27OrYSSSS+9mledj+Jl1+0i9cDxPLY+ZnAN+2KVPku86rse1XNEFwJ3i8k+PYn+fv7puDvgB05KcvAh8z3X3E7v5wbn7TMz7R+J6aS/5exm4z2uTQ4du4L6k5cFaA3xyPZnGfRPfhwcuq5gFQA4RffxzCPvsxJNf2sDjK2OMcqJIZLRpS084cJXiJ3l+t0iUpPqj4C1wm07yv4O38f61ezGAQ5DhZmP6ARujcV4SNNhnBDy5qmdsADvvMD0RC/yLyG3L5zEk6opsie0EvvKrU/ulWJyHuRdk+YQYvr/STvdAHJ7XV8+/tAROxF5pWh+Pc8i7nSp3gUfJVer0Y6+dO/hkAPjSUf6W7AQStS97slZcGNyHr/HHfBJJ9Jc2dXQAHnZz64hWEt5f8k3yHwPXUx2+wJVMonPm96do4Lty89n6sI/2a0jIiYC8WpXy8OkdEn3WVjnkBlxbMU3zYgqul0j/U7nAO/qKRjVTcT7P4zs3Ddzy9kgkZxqJDEvZzimJgrzHI63Siz3k/tFT3sAfaV0ZybpLIl+3n7olwG+RVIL3PRIpC0+KzwNvbj91RDOdRAP5GlN7NjF8qn2ChTODRGXyU3n+wAdLwpt6sMvfXnCoBv7IfPv1rPt4H/lqt5ZJjOHhwSMG3pkkYlkv/UQD+Eq2B/yaD0j0QUlPJRh4e9VZet1DvEcfaH/ZCPyLh3pFD/YUnSI5FnGGa87xx2Y9wvW+ZzHuIHBX4cWz3o/xfJF49OM6cKJiSE/zCe7zKwrRW+ABD1q2cWbh79y3OZBdguFKT8q5e7GjwqWXR4AfSMlmevqURLLX0WAUcHGj1B/e2SSaOUn+bQPunXZjWPMZnpt7fq/lkmS46FG/L5zPSSQscp7LGLiKrtOnXuwf1pqzxgJnNzL4+PQFiVazZU9/AL5ZfUfXxRx8vvxn2jduZrjWN44+rVycc9QSM0yBn5AaobjySERdVnRMAJ78OvdXH/a5LiTcBfzU4/NrnuXjHHK08jWPFMNNE2Q3XSrAf/fns9PHge937dpzoJBEj6rXLSQBV1y6YLGhiERPXxJXPwM/K7nKfwB77uCOeT5php8uCs18XkwiTY2fjhbAP4XMtfi+xO/Tt/XVHeBpZ48u6pSQqKN0gP8r8H7Ne1v/KyVRwBc2OwEZhv/o/2Q/hH2Ddl6qJXBbvl93c8rwvfrX8SYF+Owrpt7L5STKZncf/wr8Uf2s8KEKEhl4XWcS3MLw5yOt9jyVJBLfI7bmBHBP5lsvRrDXO6quSgWe+FtxMa8Kz83F9z+/Av+VWnHkSjWJzjN/7xaQZXj6a6lMvRoSmV69nmMJvMfMa5GvFt/zS1mXUoDLbMowJ7HH/zyy8yvwfUvPygrrcN+Yv0jxy4E6fZcgElhPosYo6ZsWwB/aWoUbNJBoWamN5B3gl+4szQo24r53ZVPeZ+AbjC47jGEXHHPZzicP+rDN+88vm0j07J965nHgv+8vMw55heulIWN1EvDLsytbjZtxfWncOtUFXGX74BHR13i+X1uTx72V4W0K0R3fsauFbpw2Bb7p00bz8jckWmXxYnM8cI25MyPhb/GcZf6s/xG4r0fM+WPvSNQfGX9mwzaG64tHrJJowffqz8glY+AXKcO0KeztR5svRwMfThvdWd1KoqGH6ufbgZeJ6nTeaCMROatvtW47w831vXws2vE+e2hWVR/4sRWuwtIdeP96ocB+E7ifqHzzT+ziMqwdb4G3XC2+UP8e9+EGn+trFBgezMwiFf2BRFfDgpV1ga8PE+qx/oj308tyn8KAC479jpP7hOdstsfpJuCBbElG89jThU0nV+wAOeHNH67mThLt7ety1gQ+tlKoM76LRGMz813XgJelLbt7qptE/M7Vu2uAB3tkOit8JpGVzuZb/4DvtF2xewm7edL27r2KDJ/XE2Nv+UKirw79G/2Ab/lvcejOV3yfSxW1S4Fb37ldebqHREJ3tzr/An6ysi9FpRffB8GOq8pKDFc4Oeq/oo9ET9QFb5wHzm6beeo99nMbuCLzgNs84DmS3k+itnu5/pPAP63Zr+o2QCKzHwun5JVB3/YWlt07SKLidbP7XIA3Nr8QWTOE5zLrHbYs4OkjP3i6sesRE+8I4MeeDW94NIzfp2DmmoQKwzOWh27wGiGRrl/WFjvgZ990cmuMkohbl+vVPeD9xEchToJEitJyZr3ATfdcke7DziOx8IV/J/hu2R9VnpH4XA5eMT4O/BX/x4O+FJ4L6aWV8cAjzl62PkiTqHVXtuAH4INh7y5yj5GoUtDUnXMXOHf9+rgR7F7HS4qOAN/68GRR/jcSCfz+NBkBPNMj/fPVcRKNs+QINQPPSApmMvhOogNxWmjlboafX1ojLzRBooysxKMawOMjd5z4hv3m0SyrK8CLxeajSidx/snwtagA/uqpTWPYDxItpLEf/gN8ZLXDkukUiXYcs9mmogrm7OZV+ySmSeTQ5c1yHvgnQiNgGnveVqMPOcAXFPjra2bwd3b+ETMOvH0igu3WLJ6ncaYHZPaAOloRZ2b1E+81Vde+OwD3t1B6LDuH62vmQvh94BbdZ+b/YJ/ar8jTD/ybg4pR8y8SPX9Zliywl+HoW3x2wm8S+dit5TwOPMYwfLXDHzwfDeV844CfCGB3UZzHfou3ux24rtWmdqYF/P7yH2TW7mP43s7GXe3Ya3dbuesCN3j/+8HdRbzv1L58EgK8XbV049m/OA98HP5UC1znz8rwPf9IxHRtaO4vcLdfvf9WL5Fo/6dCNlU1kPNF1C91Yz83YLnRG3iLheyvR8soFJ7XzZkP/EbcXZ8LTBS6YybHNAF8zcukv5rLKdQ5aDYqgxjO9Zw3dD0zhcJOnqh0AJ5pK7R+EPvGAdXrGcB/Vj/MyFlBoQXP2YO9wC8W5CoFrKRQr1TEIq86w99K7Xurt4pC7hx/M48Cf8N6yEGAhUKhKvroNvAQjc7lY9g5cwNa3wJHtQOZJawU+i/ylhHLfvB3PU4fDFtNofKua80awHuR6w/TNRTa/+iYYgBwc75vKRJsFFrOsi6mFDjrt+FDM9i91zwbmQWO7pv+rWWnkGztVtntGgwPlUMFt9dSqH1PkoML8LSL91xPclBoSyQd+wj4ZY8LMlvXUUigRrx4ELgeaw29iP3eN513gpoMP7cl4PlbTgq1Cpt1mgEPaHrhdYeLQj1njD/GANd+a4ic11OIZ1C1qQV4s9Sptbs2UGg4husZqxb4v96O9K3aSKGm6K4QTeD8Dz8WfMJuOXnTJAD43wcKNx78h71S+b9S4PVl807nuSmUvLb9zQxw/86tOho8FGKetvLaqg3uOfVOhouXQumXB7icgfMOflg3gD2u+nhmJnCZPI0/L/goxNvySroPeIQuL+HPj+//y633eQ+AuZ9i0qknQCHj6Kh1JsBHE2deCwhSaOVZ6txN4OXbf9WMYT9gta/pFfAkM6vyUiFcL15R65brMNzjn0RpuDCFYpt69PYCP8dzpMxMhEJuDjIB3sBn4z5WbRalkK/9hcxc4DHOZU0/sQ921laMAecO/9vRsIlCRNu6NxIHGX5tOHUgVoxClJ3NW2vgK90Tp+3EKXQys7AmCfhG4XGWHRIUGniw9ul74HojyaJMkhTa4Ocaxq7L8KCie3vbsTfsfn/8APDmkEXLe5vxPZ9FwleBW+rmBLhJUUixprirFHjRbPGDfdK4vnJ3hszA519e38ouQyGX7vrN8odAnv9UM/8V+8sjJyocge/6WbMlewuFdCSWH0gHHtLOZe0rS6Gkc8X1n4FzWeXH6cpRCOn4Km84DObm7YxWXnkKTVTop+gB/2vTx0ZhdyWUfoYAd2tw0nu5lUJp3fKa1cA18vbeDt1GoYAnqiG/gTMLn+gy3U4hCZcT5Qp6DPdhatwkqUChauW40TPAk4293WexpwgNMz8AHsfqXlO/A9/zXYe4e4G/43+xMVaRQoV33ghyH2H416s7XO2UKLTC0oHHAPitHQtNCsoUKo0SWBUOfEyKRZJJBdfp4QmqBvhmc9PQduwRj/uq/wDPrxoZu7eTQiEl3yN26DN8m1GhsfsuXL9xgodcgPusrq9U202h1caufzOBJw6sk+NQpdAqlr4HPcA/tiWn9WKff+2p/p8BmDvtJ9c/30MhqzzZ9iPA83tsIi7vpVDdh9VHQ4ET31NW6u2jUJcOx7sq4Ef/rQsWUMN1IaG66xfwQ6wVK79h33M1KmmbIZj7q+5FlCEKWXuyf3cCvnrm5foIdQr1cRUppwP3er3yrvl+CvVfuO7ZDfxFcJicjAaFnhRFZHIaMZxNdG/Vb+zRVGnzQeA8iWImzZoU4tjMO3QVeOzo7m+JWhR6EfJosgT4eZZroU7aeA6KOE79AD70e05i5wHcb9ccJ6WNQZ8vvtO0SodC+tb+HTbARfe6uHRiJxW7cpKAHw5z2vDoIO579x0D24HXxEVVXdDF9VUvp8tqAs7Ftt9V+xCFjj/fskId+PVvx4X/O0yhi5dsCy4CH9o2/34E+yr198dygN+Sq4so1KPQdb6ACQJ4fH+OdvARXC/Cjr7CRxmuqFPHfFSfQjNOkfOmwDttfzeIG+Bz5Jh0uwlcYqvR9Rns1VtiuhqA/3r61rDekEJ8nReUFoFbdzkKxBpR6IpMSoiiKcPv5W+i7YwptEmN+e0Z4Nv2LpTuMMH9Sj5nxX3gFeenby4/ir8/Z/qOz8ClzVc5vMeet6zrKOcxkN/GlXHkoNBfHlMXHeDyW68Keh6j0Fd3Ae8A4NHCI4v7zSjELiZ7oQj4mSqbAa7jFDp9MOT0OPD7HD+bBrEPLm4xFDcDc5MzPTfPnEKXzYXkLID3NNikXbOg0Akfq8XbwF/Kq9w0ssS56/x4zSvgD/RErm46geeUw9tL/4DHiwt4T2E/7LywWfk4w58XSrvXWlHIIcm/2QW4znIdl2hrCrWtNbG+D/wHx4UzticptHvkMtUN3KU3z1XBBvdzlUXHdeYMzzm36MFkSyFtkfeftYGTb018O7BXlS6pXwbuPV0ckmGH569oaGo+8O+kRJzHKQqNujuOU8C5c1Mf7ren0J/ajO0iFgyf1Bcq43Kg0KUdu51NgWc3P+wYxP6+Rz4hEvjzTcrjeY64D/dcfVkLPM76zepAJwrtO6LY8gu4XLD9FuPTFHpw6ECXvCXow4nL9cWccZ7/UfbpFPD8tEyvaezvLGKak4Frpx64W3cG55aHLTltwNuTxt7EuOB5N342cuUJ8HeTo+btXCkko+dluQe4VaaCvOJZCj0fGBTxAJ5Z+d6O2Y1Cjk0vux8Bd5s4l/IBex3fr5Ae4I572boy3Smk+ytdar0Vw0+9SP/P6xzea/yKK3WAex3ebqblQaEz9bsO+gP/wl+astGTQsHfpF/lA18noTo8gv09Z7gqBbzELV++6DyFDhqa3ReyZnjZ8k1+IV4U+teU+M8YuAQV/Nb0AoX4Yw4ZhANHUr3Cm73xvGg9F1cJPLhZ+sIc9ow7bK3TwB9+dGxtuojfZ73gotRJ8PujCVsSfSj082imsBXwXUbF150uUehxwH3lGOAcHxu/7fTFueU5//5XwIOIekNWP7xfLLHvXwR+JCanpBv7zRhfZQUbhhsNholnXaaQXbC9sCPwF72Hoy/5U0h65u3CHeC50fNMhwIoxPo3r6UN+BeW2Av8VyikVsMTt8IW1N2hjeNj2Pks/+nvBl7l4O9QfhU/Z9zx31ng1061DEZewzkk2vj+fegGzLYnAvE9PFOn2gX8gLLwsFwQhe7HvXzFZsfwSFGh03+xF2xT1FUHvk9oabIlmELKFirVXsCv7qz3vRuCz1exTiYL+BO/06zuofi+fe4K7wW+f+57EgrD+6arTw/XKYazFhrLcYZT6MOahxIHgH+vja8bwO7y0drWFziPfLFl3nXs1KOYF8D7lhf8uhaB+5hjQMkQ8DbDyATjSHyOZ4n33Pagz0io7RK/gfu80MDgIeCnbrzpmcG+lOA6GgBcLGFbcMNNnDN/3+jNB77f0HVrfBTOCXYabwjgRq+vfHW4RaGEnzez+R0Yvp7TOVLlNoU62s9d0wfupyilxhJNodqN44cDgb/UKJ3pwv5wcBlbMXCxI8LPnsRQ6KNZbhUNXM/O1OlSLIWKEhcchRwZvhBtJXkojkKva4eZjYBvHlcm+OMplDXnHB8M/PfV3qxv2JeO3RIoAd5uY3KuIoFCt5lNE74B35+asPtmIoUUhCpWijgxnFPr0UrrJFy/DY3OxsCVna993JpMIW+B83UhwPsFpR4tYd+l0biuFLjruQTf9js4P1hUGo0DP3eh1SgjBc/T4BPhIqcZXrCvVdYzFT9/OLPAGLj81zhWzTQK2STGfQgBzmazidpwl0Jb67ZRJcDz+jzfjGC/FOI99Q14rnN4TtE9Cv1efmZS2Bl8nw22iaHp+H6eYBsyAr72x8I1swxcXwWWr4OBx3Idd5e+j899y4mHL4E3RHqd/IM9ZXit9xhwRU9D4zeZOLcv89wjdIbhWd1jOikPcP7MvP7TAPimDxrqrg8pFDRh+iAQ+KsLZnv2PaJQ+IpunSLg/z5K7eZ4jHMgC9cACdxiZcHufux5/MvP8rswPF3g997cJ3hPOflsQg94i9ycxrUsChnMczpcAb5W/9lh46cU8mRXaM8DXhfHZyaeTSGt0rXbR4AHcO9zmMX+UvxJMLcrw1fT/3k3PqNQqxtT60HgVmKZ1xOe4/tcyc/uB/xB9/A9pxc4byv+VHsOXF2sq2RXDp7jM9GO/cAb/rv8cXUu7m+bpgO5zjJ89nXH9Bfs5f3ccZrAX5t2bXiWh/uAMdOdC8DPtUfu9M/H/fNuftxj4NpGE1b6BXgvGJUN/gy8Z/JvqEghhbj03E6zuYEcXl+a/wO76pzv/n3Ao0ZFB2uL8P1hMVnnDvyt6471scV4z3rwqyMd+BrP79r2Lym0csr5+nvgX9caXVYuwc6VrbzCneHLzE8UrSqlEC1d0akM3N2VY6oLO6vVXVcn4Ia2jtuyyijU3GH8Kwn4guGpc77lFMrO/uL9BjiT6YrCwxUU0ly389sCcJGwg/OClRTaucn5qPw5hh9k2qY5gV17lWe+NfAHvcVR1VV4ng4br7wNPEKlv+d2NYVYetmP1AIP3PxY3q4G5yXejOvTwPWa115TrMW/L+csF/dgeLfK+q4VdTgH0icGjwI/eLNgWyd21tehiyHAfxA/Ih7X4z3oyi32l8AtT76mfBooxKvgw0UBV1+/V/dQI4VsV2iw8Xky/IbAwWcCTbhOhSf+6AK3Thzn+o5d8qF/ry9wtvvSvlWvKDRROVWUDXzD8YWRW804D0cdDuoBvq3zlLHtawqJ77uhvfY8+L9229bteEMhi8nCxX3AL92dVlrxFvfht01P3IBzivM8/YSd+Ved7j3gN0daNj1+R6HipKf9bcAzl3Gn+rTgvNcZcGaZF8N3xk/wHmql0IYu9bHtwO1qjiUJtFHoQs2UtS1wl/Qj/N+xq5XGNEcDbzd5f7eqHe+JpIRUHXC1P8OStzsoZHY+y3caeFLOtRzb9/j31zbVi10AOST+6R7FDxSqVI1aZgI85K3VmxUfcR9r+LEjCHin+x3LTuzrDhyyKAAeef/k5ONPFEokUryHgfsHPQu51EkhiRYibIM3wyt2XBU+3EWhEVG5KE3gYe2fSwW7KcS9+uz188CN/UvMJrBzPH96KRN4tbnA7+rPuP8oEdYfgD8IZUqJ/oLrvUl0N/NFcH8kz6if+or35QhLVkXgW48dpZR6KDT5OPGdHXDfPdUxq3opZK/TGRID/OZcFurGrnCbV6kO+K6sDZNZfXi+Pz3ZNQXc78JCul8/3oMqn7lv8mH4LX8b0yMDFKqZWvbXEHj38H52kUE8B92trlwFPvHmbuMP7K7W9XM5wNNMva/VDVFIilQ81Q+8/9ErFDeM9xGF3AaOSwwfHYxe5jiC57vjbgE14OxbPtbvHKXQjxftjmeB0/dvXl9NUOjIjouPU4HvO1dp9BV7Dt/W3rfAlxXbCT4ncR67OceyAPx40mU6gKKQ9csOqS2+DL+7Z02pIY33vuqavebArRvWRIqNUcirteFAOHBjM/+Ts9h71vZrvwTuwmer0vSNQnGPOFUJ4K+3Fa1LGsffudZC/D8/hldV+3xz/o77ZHgVkxbwdxNPX++ZoNBpiX2fPIE/GTr0dO0khSKrutIygO+pNbvZj93r6i3LduApue2eeT9wvo114FgC/l9XoUXQFM5LmyyL5S+D3GvJrG06TaHDRz1MTgD3OFWuIDWD+6Fp1mgE8D7uHtE/2DfqrzhbCtw/1X7921kKzZ0OokngUQJHV6X9xPO0TcqS25/hQeVZi25zOCc8m67VAr7igf1P9V94fsmMCp0HTiwG/Vj/m0Lq55a5ZwDfOrFqYgR7YbZ2URtwvvTx78V/8L1aWfzjL3CuPUo/wudxH84y3iQXAHIp2TNrsYDrpUZQxwJ4U+vogtwi7qsX/rMLB27Ep79yCfujmX2excCv/tjI1fEX9x+HxIsjwAv9d4tk/qNQ76yY5/orYG6OlW27sITnSMugrTrwZzZJGjrLaHSS/9MBN+DSazrM+JhoxLLqn2gqcGEue/dv2B+XW/14DXzknuH1yuU0snT8WfgLOPNg/MNbzDQ6ptDkJnkVzIulHQ22K2j0WadDyAS4s6TUqOJKGql84qm7CvxlgAfrqlU0+rQixfIF8HMqXFu7sSssPzH2FTiXz8pjT1lo9P63pdvqaww/5H7k6mVW/D4bU0kV4Is61DP91TRyuyp0zB743q2fvoquodGX04Ol0fA5+hvWzmB3/0Otrwae8jFDvZGNRpzWyrbjwDu/X/FOZKfRy7pXD/gCGd7a9OyF81r8HJOM3gPAb92Qovdw0Mhobz2bF/AjrpOSHOtoFJW1dVsGcM9YZocB7HavRnRagd/ZdupRPieNxOsI0wX4fLe1Y8FcNFJsUjaXDmK4fgDTdrP1NFq57IORKfDlN9V8ZDbQSCK1GgUCX/O6vm4Bu/SrRbEc4LM2t9e1bqRRxfPIha/ArwZlWqf/R6N7l8++Zg0Gff7kYo4nN41SbTJvKAN3k7jDrM1Do/jQrdp2wDWYLpvz8NLIX4BzJgr4PcmMPBq7mZ5uQjlwlVpW9go+Gu068HUrBfwbc/7pKH4a6aq8qtgYwvAPQqmvbARoVKvLob4fuBJqklYUpNG353klZ4EHJW27sVIIf+fb+ZvvAHey6Jrqwv5JaH1EE/DSogrzp8I0CgzuGJoGHvC1r/6yCI3Kpqa2i4QyfHJx73YDURqJxnp5HQbuc7jz7qZNNLJPsHh+EXjO76x1s9j1ZR5+zQRuq/IysEmMRoWXTJfagIeq/P2VJE4jvyJX3kXgh2X93F0kaJS+ZnyzdBiYpzrb6X2SNJJ5/HHLUeAmFQIOnJtppFwqJXEVeH/l3uEh7BNuxPpnwNMCYk4VSdEobo7rVxfwxwqCRJg0jS4GZLczh4P7uebzGQsZGs0qFd7bBpxzb/OU3BYaXTsob28J/M485buE/R7JIxwGvOWS6qr3sjQaUr/Qkg+86Ht57AM5Gk0GHvDsAx4X4Sp+UZ5Gl3tusK+5zvDPwYeLdLfSyPCybqoycEmu47qC22ikFe2/yRa4jn10/wT2/Ye2pN4AjgrmLtZup5FmpyF7CXA1xbD1cQo0Mraf9hgG/ohPI8dxB41uiHO2cEQwnCV1s/5uRXxPNLOFVIGL/1CcZFOi0cHphlMOwMcOO8f0YT9mY33vNvAro40785Rp9KTCp70cuOLMwf4gFRrlqPz3iwAemj0Vfmwnrou/ShvWRzJcTrtaSWYXjX7s/yyxDzjLr9yhBex2O5jlTgOX/N0Y07qbRtP/CqRjgb+58lcrQ5VGjl3j/FXAnRuP/Tm/h0bR314sp4HfX9aRc2AvjSxcFvo33GD4QWeX03z7aFQc+iFfDbjFTknxcezPzu7ycwa+NvNvf5Ua7ieGsrvjgFeNzNyNRjT6av18vAo4szKLjb06jc69ro6ngSe/UxHfuR//vzWnlDbeZPj5kWvUag0asXrdaVYDnltE5vRgb93oYOwM/MElp0s5mjSS/9DQEQv8rfMy7UAtGuX1lx2oAt5dnbfeVJtGP88czKOAZxX5DkkdoNH9h25cG6IYbhBiUTiP3admq9M+4KzOhuEtOjRC49fznYBrplhapx/Ec9z82kw08HvH/FTO6+L3VOXeUgF87NMLzgOHaLSnSvcYAVz86M9x3sN4bvII+XDeYrgXu/7bb9jfXoi+pQpcTbUku0qPRglsT1LtgbPxKUZFH6FR/mq7e1HAk0cqPe31aXQ2oyaxBPj7bjPznQa4b69oDBmCrrBMY40hrt9T55zZbzN8WLZYrhf7kR/1GirArzFf4ss1wufVU8NlA9zkpw5rkDHuzxanO68DV1IT+2NqgufjnfLbBcDlBFjGpY/SKLGtXL0XuOfrnwML2Ou3nCFWRYP5GPq9q9WURgJ9r65tB15y63t7xjEaxQp0rrcAvkH851svMxqJ/ZeQHAT8YgDza53jOOcssnI/B75qgKeZ3xyf74rt4Z3AuUMVXn/Hfugk+48l4DI5Bu9qLGjkonbviEwMw6eTPTpiLWkU+ZFONwZuEpLQ7XiCRiuOfqf9gJ/IrRzcbUUj7cmn0g+BH7EgxtmtadTcLW7VCjyhbt18P3ZBTfOwX8A/Su9eXXCSRt02eo9FYxne9c6WP9SGRln2/yp0gSdPhMub2+LzvXau2RP4gdbnGnJ2NIqgM1+nAN/zrM18Cfue9uSaBuD/mr97vj9Fo8OnTZ5/B37EgSXqoT2u05GOW9xxIEfVCWT7OOC68+E+jYAbiW55c9gRz+tjYiqngTvUKnwTdqLR7fy5P7eBVxAKHNPY91fHFZQC/9Mho9h4mkYcuX/thoD/aOC1SHKmkV7JDla2eIZnMP0LdDlDIxs25UxF4Gpvup+rudCoumel0gngErZPvnC50mj85KOyYOCjrK6rR7H7NvPsfA5cdYW4aslZGq0+ZJn1Cfj6hHeukW44t/B6cv0DHsJ0OsPaHfdJJyv3zQkgV1yf7VI4h/2McL0+8ERPD86VHjifmBazXwR+dKn3UDf2kyc2690DTp/fHZbtifthgfu1V8BtNgY1BpynEdOt2GeTwEmJspXGXjRKEott4Ulk+CDdqyN5AZ/LffcRBLz/8ffI39jFNbdMOQFPz6Q63nrTKGVXw8wt4JxirXz3LuLv8FJt/CXwI6fTTnn64PecufOlHz6n3DRH+xKN1ol9qWJJArnUdm6R15dGvBf/Jm0DnnYvQG8cu5HUKmcz4A3l39Oq/fDcdPq59QrwfwsaUzGXaUS5vBt7BNz/kf8BR3+81zjfSG0FnsmUlrY7gEZ34lW05oAvmaTPsV+hkavEu0GhZIYbj4QaDWDnO6x/QRt4yB+DFwVX8V6gVvXPFXjxl3n2sGs0Wq4kFBAHXL4t9KxFIL63Nq4z5cBPCc+0yQfRqP/3M+th4IvrkBJTMM4DOwaq19xhePs35zsfsUtrsvDsAN77x3P5kxAahZ8UtzcHfjzQ3NUvFO8XlcqPrwK/2yLYrR9Go+xoNPAY+B6JCm2xcBqdWK+xrg34RKtK0U/sPV5qSnPA73Hf2Pz6Oo0aJ5QNhFIYbq9VnpwagfeUIhkbLeBhGfUc5yJxPlzid3IB7nPxQYjmDZzTmNjsY4D3rLP6x32TRkXT88dKgV8rHPcZw97CMo4GgDvlGP+sjKLR5ov9wiypDC89FHU++haN6rw7Z+SBf2i/O2N/m0a5e99XHQW+90bQhV3R+N4ufbjiBzz71Z4/bDG4rmd7VO4DZ25tCujH/tloYrgZuNmY+KqCWDwX9FeHTQInnYxvhcbRSG7TNlHuNIZvijHit4jHc2rJJmcv8PuFoo/lE2j0SyRd6RRwBYFqZaZEGh0t/Z5zHXgzl1zTR+zrlh/elAs8csTx+JMkGjVtLw3vBN7a7zbul4z36Mu7iUXgXIaagQZ3aDTK37Jb/C74fwOH+cRTaNSheSFIF3hgnX7BHPYKecV6d+Dx1sH6b1Lxua9j/RMP3Dsz6FtaGo12iP6UqAAe0Xc4wuMuzr0JCweGgDtY9WzRvkcj9qeCJ1nvMfzVWaUW3nT83aLNz24FnmZl4jGOfSaowOMo8BV+u3hqMmjUVyLr6gtcZ+NwVex9Grk71Z9IB95z0fi0UyaNFpv8NJuAO82GbNjzAO9rHMdEx4GXd1+u4XiI90dvkxmudJB7z6u4D2GPUr5QsRP4t435IsWPcH8LqvCzAm7ANtlx/TGNbiVuUQgCHvFoPMTqCY26smp6ngA3UXm6RyGLRiNTVwJagd9cIzWz4imNvB47c88CP3je7lk3dsvlVx7wZTC8tsbS6Vk2jbxVa6URcHvN9RJXn9HoaZhCpj3w14dDhkye4zy/qWNDBPDiLYX3pV7g/2t/hm8OcAGFu/YL2L8JZXZ9BC6UqyHdloNz9WTXlnngK/+kf7+fi/vepLqXyH3wfaxKCr3zaLT3aH+BFvAHW8P9D+Xj/dSskHYG3l217qBwAc4J22v/uwV8/KT+xmnsNC/LrkLgXPaaQ42FNFI/GGb4Gfh9oYm85CKcw39pnPwHXKb/SNDZYrzvW++xF89kuNWC7bH9L/E+WOxx8iBw0UYZ2f9KcE7eRRqeBR586wETjb1DIG1XDPBXzzs+V5TS6OKdOO6XwI3O5xbcLqNR73jr2FfglYrqt+zLcd8+fKRo2QNQ7xpXXXdV4Hn0g9NbEvjFWffD7JU0stogIH8I+IdUDrkB7J+/u35xA65w25KjsArftxKWgFjgq8SPTYdV4/n4fJynBPifrL9dljW4760UetIDvOeSUfW2Wryn/E7eyvSQ4c9IwyfMdXi+1NpnSwJPPLgQ04XdPjlA+BDwmSmDK9n1NFpbSoW5AT+wW//slQacuywekDHANb1+njBppJFicf6+l8Abf2vpSzXhfW3VfxFfgX8R3Lt/AfvukHfvloCXq3xRbntFozMuX1ZKPAJ9OFVYLrOZRj+mkfJB4AkPWSUuvqZRmOk/C1fgQ48ThQ6/odHcO+6Lt+Hv59/wirzF/Tw24nohfP5sxn8z2IsGLWK6gVd+F9j46h2NOqfDoxeBj+zdtTGlhUbOy7jDRB8z/PPuuf/cW3Ee1mI+rwXcaa8pn2Yb3l/+GJmeBh6YelSYp51GbseZt94Afjh/RuIb9rRU3r85wDd0KshXd9CIXIqp+wDcxIZjZ+x73A8rzgf8Ap6fFa7h9IFGY+wV2wWegD7Alm6w5yONzGXPflYDfrjXxHrdJxodNA73sQOecynTbRi7QgUHRyjwyN1RV1924nybyXQnC7i994a4yC4a/adpJ9gCfOz6jqyT3TTS+KQQ/wP4QstYteJnGr2L81ixMYvhGal7ulm+4L2+QuzMTuCchhLTX7GToQeaLIBnazxYm/uVRmzb+ngDgC9vK9sS3EOj8skx2wzgbw2cdI/34rpmdstoAD4lkuUs10cjp0enu0jgQXeuRC7rx/vF+h5mtqegz/OPvfiI/X3g681bgXMvkh+eDOD5uGOHuhFw3js+85cHafTYisfQC3iEYYqY0RCuRzXfY4nALf0M9CSHaXSM84RJGfCH3nEX/2B/xVF1oBf4i7vOD1pGaLThQsb2ZdlgPhq0vs8Yxf0kgIVLHPhvona5N4HvueMUqQ08vUZT6RBJI+RsU3Qa+JfdJk7CFI2sa00vRQJvzplMmcbe+vS94gvgJVd43zfRNJK17R5pBy7O0rI6ZQz3E9HTN2aA52aya7p/o1GAeNAW7mcM31bQ6a85TqPpR1uqdwFPi91SxvOdRseJk4csgUtksvz+hj1KSOKdP3A+9bM7ayZodCXcRysd+EKzhU/cJI02nbIuqAN+IbWt7PQPPC/oTt5R4LZ8b//tncK5wmzYi+U5w2vu6mlxTdMokA5+JQO8IdIkchS779cKTj3g9aj/Q+kMjZ443zB0A67DPykUNUsj3fbZ0NvAl3wDne1+4vtz+FdBPvDXtUnFKnN4H+SN/x8T9h3P5dfGATx7FippyCiRVZGSUYeIzLJDCfVDVEjKyMhIRjIjkYwiIbNQRhQpKaGMZIbugQaR9Zznr65/36/79XXf51znOp/L5w7gBYZyLFx/vqNl9/c/ZoAPXNUz68fenJjDuKHwn9c/G31QOvsd0bVCnCrA+44z/g2b+45+y+xlPwF89FWa4fG/ODdumFzwh79jUZG9ax7v1wvd8XvAfT2MFpgXvqNdp3Tf1APX93Ey68b+WWkycwR40ruFxwWLOC8FKV9gfQzyRutK7qCl78jDR3bfduBsAylnzJfxfGHT/FsH+Fv7rNdSKwik78yT6wJct1Jcchm77JcVxjeA1x8Si2xnINCDqbs/C4GnON+ZyGEk0LMRIvwDcLuISJMrTAQKmP4m8BN4L9vvyqPMBOK0jU1dUwTe/1CH6DYWAoXbTQjsAZ6XIx05h11WcSncHLhpzNz0O1YC7RGq/3kZuPmp/faZbAQiTFSMbwPXCJl5f4mdQNn8LrlVwPvMxZAeB4Ea7hlP9wJfhRofC3MSqEz+175F4JP3ekV/Y59iN/QQKv7nNQOnEl9zEWjW9nQ2Ak7b23CmcRPouJdiiy1w7qg3ge4rCVQe9Zq4CnykLmf20CoCPepdvyIL+EmHafeNPASiMiW5XwJPHCyhJrAriCys+gb8TVK/UwMvgXRjY9lZS/65y4TPaBIfgRgVyFlx4Gv0Qv47u5pA+7Q4B7SBB62Z/6a2hkCfWKaqnYDnFHx15F9LoNaitLhw4OkBO8jv2EVD19rkAX84+d21hp9AXXVmIm+B7znNOxO3jkDsmfbdJPBejQw/RwECtTuohnOXgrqavsOqup5ApwxGdsoCL+9fjuHdgPcl3vqdAfCpMy2C37BXeWXZnQduOr8ir3IjgXiVq6lo4EfnU/dFbyKQ1rq884+BB7Slv7YXJFC9nsvYe+CZ39itFDfjv7ue0WIKeE76Z4pLiEA6z12rectAPTtyXR3AfvRi+UY54OP3s9aVCxMoIaDjvBHw9vr0gnARAhUKtla6A2eQWD5kI0ogzYis+Vjge1Re9MtvIRAzm7lCCXBrp28+bFvx+W0bPfUReISAi8AX7D+2W0T8BM5UYlReJEagUr3cnNXl/1whI9k0dBuBmr16n8kDLzZE05biBOKf/NFoDFxZ7FDSDgkCXaep1xeAV0U+VGbaTiCR0ncv4oBrT7r0f8b+1T+xuAS4SGVkaL4kgT7ePJT8EXi+CbvsVSkCbdjW7/kTeKDkYKeZNIF6/E7prn4C1uE+f6CUDIHUu9v55YFvlb8vvYw98pJclxFwQvlmV7ssgRYT/GLdgU9ItV/L3UGgcY9K9Vjgcefc9vrtxH3GeHS8CLjTeYcxo10ESnZjCfsAXOp22W1xOXx+V64XnAL+3NLKYB77D0fhXJ6n/1xW0ILxgzyBTOoEpXcCL9PPq8jeTSDSjO++IfByCxM3bwX8vNMS/3nglQ+NJA33EGiH4je/G8C9H2cPb9lLIEnGpi/5wNs79dL/YF/BcV++BfjHcK3jLYoE8ogMDCCBP9yXsDFjH4FMm60aOCv++ZMjCj2eSgTyYtyzJAk8QFX8jq4yPl+XeHfpwOfPnjkhrIL7icPEMSfgioaLIr+xX+f94BUGnOnI4LfXqgRaKH9y8wFwvb61+Wn7CRR2KyvtFXBHxySPCwcIdOBnUuYI8C5rJ1VtRKBDHIl3mSr/uY5kGKugGr4vNqXGbgF+88CvtinsE2cKfdWB53Hm332lTiBWhXfHbYHXLhSdTTlIIOOqOYUA4FtDGFRdNQgktn8P813gR3jTuDU1CdS3EPjmOXCCN/jr+kMEGlb6GtYLf3+6pJjGnqtgqPoXePMOmWv1WgTKkf04tr7qn2+XmbBO0iaQw38uEYrAJWxm5c8exvsruEnMHLjSHl0udR0CucQPlV0EviA6PMKvi+uWs0E1Hvi+xPpaAntxQ/WzYuBflsfu1OoRyHGpXe4DcMZ2Y+8EfQK9n2dNnwBOBzAeO2OA+/mCBdPKZ/+c02tG8YAhgebVX9tIA6dldmxYcwS/P7dlsQ5wM96H82PYudO45h2BSyU49D8/SqCnCoMq14D7Szm8jDUi0IW1vR7ZwCMP5eQ5GBPosN/fzHrgpRaScSomuH6K1JoHgIe0kz68prgOJwpHl4CXS0+c/oZdzltrXvD5P9/SvvNolRl+/1h2NhXgn1SLVG+aEyjEa4bDEvhy73mp0xa4z7vyMV8GPrvVZYPSMQJJVFhNJwDXup7NscqSQMfi2/tKgCdc2Tg/hD3toF/1B+BPLrbQT60IZMVmmTABPG+kcjDKGtf5Vid77up/nqw29MnuOIE2fn4kIQX8/YLmu70nCCT837YRbeCvbwy+5LIh0L1Vn5L+Ay7m9LR6ALsyf+3BYOCFKxqflp8k0I2qwZF7wK1buEsjbAmkrYb8a4BrqEU+PmlHIMHxrlVfgBe0qRUo2BPo3a/Ht+aAs83I5HOcItCW+6/4BWpAzt9yJP8rdmr/pigF4JytDwpKT+N8u6Jkzgi41bndRdf/I9BJ2UgbV+Djl36XnnDAuYgttyoKOGH7vULekUDubRyr8oC/yuCrZXMi0PaW4mNNwFcUnW38gp1bOSNlBPhRxr+txWdwfj7R3c5QC/oVT2XXNWcC5V+2ZhYG3mD4cNjahUAFb7fLqALnV3wzuessgU7fOahnCbwPbVpkOUcgDsk8u0vAkwbucPVi//rE1jUe+PcYvU1F53GdhzleLAKe+VpSJtQV1+GXWrd3wJ8u7zlg5Ybzz6zzaQK4bqGr0U53AmUIOR9hqwP5U//Tf8wXCHQ3pkZODPh2kzO+3dhFY89wqQO/orw9rtAD/7792S8ngB/3XZ0XfBHnDe3X2T7Ai6IlGo55EmhrsP/pJODhtEOf7CUCIYuYTWXAt/B9mGW8TKAPrMvNH4D3XLDn78J+reOtKw18f9Tm3QVeuD6ZZrk5X/zzv59WGAd54/XpDMkQB062cF2w8CEQU7SHrAZw/vH98TK+BPrj+qroJPB7mbfKGa4QaFWNr/QV4F8v8Xd/wr77WVJaMnDd/srFR34EMs/byFYO/Jp58Nar/rg+W1mc2oBbW7jrmgfge9nZqo4GXnM8+IJ0IIGyXmzg5awH532w4s6KqzinrTtkIQ78uR1fYyd23YK+xIPAGY9F/cgLwnnv9chbG+CyapJCgcEEupxnPecDfDZxTM8shEB3kjSEkoBrdjb6SIUSqOljmnIpcEGfxrxl7FrpLobvgReuGO3tuEagM2qFliTwY9/EVuWFESh6zuE4WwOo/+wg9YDrOA+vSjLfClzg2ZKnaTiB3F6gwwj4g/vJjyQjCLTGwl7OGvj+wSNDS9ivrF6x+jLwRWLrxo5IvF+KG4k44DJqa00eRhHoNXtJZSFwFRuRG/43CNT55nXgG+B19dqvTaLxvVl3Eo0C9yHDmSVv4lyxw2ua4eU/NzAfVV/Crn5sTdZm4DpXjwe2x+A6D5Q/rAQ8kyBrc2MJZEZ9GjEF/oQ3YYV/HN6XrwzebsDZL5geNIknkPedMuYo4Jo3ZEK3J+B502EqLAe4yuCm5kXsfiFPGBuAk5ToqvZEnDP3sXt+BX5x5wHT3FsEetI4+nUOuNB2tzt+STiHe5io8b/65zbmT4eNkwm0fPXI7V3AXyutkd1+m0Diil++6wEXNA6+vIj95ae/co7ADwqzNXxMIdBcdr57EHBt0bs8uXfw/PjtZ24acNsu7RN+qQT60tf6uQL495dM+cZp+Hc+qC+1A3d0bJuXuEugcCYDwUngwWpF+ovYeyp/yHE2/nPetvS7H9Nx7t0nh7YBZ09J/5Fzj0BrG7g11YBfF3x8yC+DQC/uhqpZA+/pfpdinIlzHU+awiXgLibzUxJZBDpuZSoSC/wjp+LhRez7G/KZ8oE3Xw289zGbQL3ROV8bge9R/jyXc59AjQxaxYPARZ8om/o9wPOybbjvAvDqy3mPjXMINDJ5Yb9A0z+3ZxDn3p5LIJvfTH/kgEd35p9ZxF5csj9XHzhx6cDrjw8JFO8qauQIHDn1SOTm4fdxLfpxFXioTOB1v0cE4pklw1OBd2jtJIzzCaRh0LnhKfBzymP62wsItKfsXEYb8OqInKJF7K/dn4hQwPWeufK3F+LvelOUxPr6n3ceQb65j/F5YbZhFQUu18I/5FdEoKBTtWdVgDuW/dQxKcbzkcynN2bA06M6S7aX4Nx+P0vEDbhEd7XgEna3NZLnI4BfEXoU1l5KoFtVjqXZwPcOpv7KLSNQ4IDtVA3wzQ/ibP3LCWT5hn9bN/CNPyNbTZ4QyLA6zOgXcKR7fb/kUwKlLj31XNn8z1/uDitYwh7QnhMrAZxd4bpQRwWBDl49dl8deMyHiJiHlQTaa/C2yBo4281opoAqvO9XGMo8gaPpuMumz3AfNlsovAl8V3gSJfkc7/um6oyHwGc/3LFfxq607lBUA/CvxundHdW4f4Ynnu8Drp+YYZRXg+vh+ePDf4C3C2W+Cagl0MDPhI18b8C9dumeplkdgfQ8tEakgO/dklor9QLfg8Gv7msC//0wQWVFPYHGHdectAEemxBe0Ynd1lGO1wu4zRmfvY8aCLSzSaQyFnj7Y4fywJcEYn83ZPkIePSkwR7zVzg31nj9fAn8aNHOJ9KNuF8NDgd9Bc7sw7WPoYlATle2cc0Cr+wYqPqEfWvHgUi+t+AePPz4QP5rAn3fIcckDVzc5lLD1WYCpX9cvKAJvDJtj47FG/z+LA96TgDniKHey7wlUCS3tPJl4N+qUywYW/C+74iOjQF+oAgNfMaeXvxh4CHwnVM9Zwre4XXr/SXRAHyW9ezvoFYCMf+cdfgCfMnvZ8Cx93juVhlMmwb+7us57h0f/j/nFrSsagE5rbTvNlMbnqMDbX9JAC8MUd/ejX2E7S+fOvBbfclPCz8SiK3Xd7sVcFp7WDukHdet2theD+BLBiLdlh0EMvDbvz8K+B6fIy47OwnE2B2gch+4pIXbEvMnAoXefixXAzzWNSiuB/tellbhz8ANDEMlij7j+dT+C8sUcDt/r+rQLgI9+tM7zP4O5NgIa1Prbvw+XK2VosAdlmWpXT0E6hguDVMGvslxMoS1l0C1TdEGJsCfGKQLfcF+a/Ek11ng0wf2VxZ/wfX/dvuLEOAvGl+bhvUR6Ig3cT4NuLi7+o/jX/Fco/9g7RPgJm8eRMv3E+h95ImSVuD3bGZl2AfwHOrPd3gMeETVnpY+7FbODZ3LwIudbc6WDhKIuHXRen3rP++fd18ZPoTPka549y7gC39dH9sM45zZ0m2oA1xo2sJYYQTnBPuY53bAvS9LznB8w/O1md4WH+BneEZS+rE3fOcKjAPuoRumVj6K19mxvTMPuOqT1WMRY//vY1lbG4BHD4RG244TaFTlyple4CcsBvbu/U6gT8K2Ob+A1+aKDnAReB7kONrH9f6fT9rrRAxiv3HAgEsM+JG1FnuekgQ6x2YppwrcTk93MIrCOSrv4hFT4B23tkTb0wR67Jrx31ngXqH9KvsmCGSaNuARAlztQSCxchLPoT67fVKBa11nSRnGfvXIHa8y4G+rzulWThHIx36DawtwuXcV89E/CMQyX3hiBDjLkdGC0z/xHGR7QnMBfu/7aVvlX/ic9mzbuvbDP3/VP7qW9zeBRB5z/JUGHrCqsvkb9o0SnM0awJUpl4Bn0wSyCN8eYw18D8fyntgZfI9sdjjiAbxn2p12+IPrXOolayTwooMv76vOEujnH40nmcCdA6dtVs8RqOjd6Ikq4F8Qy4Zx7Fy/ChbbgC/x/Wqv/kug2Mcpid+BT4TV3Iyfx/WgW7iNoe2fT8k76p9ZIJAnN1GwHvjZbIoDLRKIT/XIjl3AiXOGr9cu4fcX7X+gDVxENCqMwN7PdEfgJPCBI/e165ZxzpcOCbwEXDzqNvutFSTq6L8zeAP4SienNy4MJKp0Gla+D7zHk++GOiOJJlYej3oOfFo74agAE4k0Bdg+tcP3dJtaS2NPbPkmQAJ3DN7WU89Momeec0aMH/+5xurd95JZSJRqpRGyAfilovWO51lJtKXhZeEu4EI/OndospFI/Y9/mzZwX0fnPxvYSTR1wIOyAf7nQWfdJPYdQ5nLnsA3aghEvuIg0QpJHq4bwBPf7zC/w0kiD+vKVdnAlQY2bXHnIlHSi0zOZ8CX2L9OaHGTKDyrZakN+HLfxeeCK0nkoLOPHAce8Ks/4id2s/nR98vA+/qErF6vIlEQQ0/+unZw78vJSd3lweuQvTpIFnho8Lp5D14SnZWOO6IJXMeptUWHj0SZ/Zb81sDHLh5LF15N4v7j0u4O3PtA2YVp7FOTjeHXgStbDWq9XUOih1/O70sHfuNE/6aMtSSKFjjdXw78d1/Bj0v8eD2/5/i3AN/grv9afx2JTt9WWTcM/E1+VfoWARJJuIs8mAM+LT57eRZ7bYXFDt4OcF94Mhu1rsffVTFUKA5cYWe/VPYGEplW1kvsB973PYzFZyOJjjHNJZsAl1ZdGjiyiUT7+68xOgOvf65evU0Q123iudOBwB0ZjVPmsc+dL6y5BZwre4dX22YSsZfp8hUAr9j32TxHiERnCjSONwC/b6G310+YRI1ZKTgA/3OJ5Ih1JiIkau8/2jsJ/Glswp/toiTSyXPkYe0E9dzr1L2EfVRvQEUQ+INVbM87tpDIdeVzW3ngD1+cT8/bSqLHigt+h4Fz3kgPDhQj0eU1mfE2wH+z33Yy30aitO+FGReBV7yzMpQRJxEjk1huBPAWjxEFRgkSXc9lzLkH/GX8HsEu7Ou26t99AvxEowFz4XYS3XvGEN0C3D1bhg6WJNGmZ2KXhoCzNLV9spQiUbDzE/NZ4AeaVF/slCZR1+qKnas+/fNTB87ls8iQaNuiFIMY8IFX9sm92L0u8L5VAq75RzC0WJZEI8/O3DgC/ODZOxfCdpAodMu+w/8BL6jpsz2xk0Q+k1fmfYAHXR8+snsXiQgXpZwY4N2n8hGHHIkYBs/rPQD+i1Dc1Y/9Z5LQ+DPgeypCRcvlSTTdrePXBnyLQ+KayN0k0p76wTkGv/emA6udAolkxdbHLgB/1To7t3cPiX7VVPOs/vzPFWv1Jrj3kmiMY+SaBPC38zbDQ9htDaNmVIE/EZbvrlDE90LnUxtj4MaNL99H7yORyXfHWkfgGyLXNZ1Wwn3yY9p6P+APOSRqlZXx+/RYOccBb+ybfsqrgvdR715ZDvCjWUHFo9jrz7v+eQ7cdKbl0XNV/L03muU/Ap+90PEgbj+uq6nHDmPAI8qTM50OkCh7aGv8AnBvqw3pBxCJ3uSLV/B1/fPjS2apa9VIlJtc2SkOfGi/YQqBvWeyj1QB/r2c4XadOj4XCwl/jwJ3ZnJLvnWQRE2sAwwOwEMakpPPapCo07KOwRe4Z7zv7YOaJBo6oPj3JvAs3vV31h8iUcbyITIbeHzXubQJ7J3f6I5K4FPXr9x7qUUiNZVdT1uBB9VqZKdokyhfZ1XcMHDFjQ25bodJ9N0q/L9Z4FsU/xZo6ZCouSJTbmU3eM+y8VJBXRJtL7CeEQV+bVd01U/s41fLS/cCb9EhXrzWIxEVWHxGD/jI3YXmu/okEv59dL0t8OutLz9eNCCR57bE2ovAUy4f/KJrSKJBm4CT4cAFlTxHRY6QyI7gnU0DLldy/McM9hk+vfAS4MJBswstR0l0X3jnmibgJocPc2QZkcj/RE1iL3DzbL113sYkiuP/yzsF/NMeRrEjJiT6GzscwtzzzzNTXeS3mZLoveCVH+uBP/YKU5/HvnfFK3NZ4LzOZkZtZiSyuFZbpg58kbfTLsccf9fcWS5z4C0rWT38LEgUktVq5Qx8YcV4iMkx/D6t3zL9gW+P9EmStMT9p7F0OA44n0F13jL23o9Km3OAJ409rum0ItFH5H3kGfC6eaP2R9Yk2mPh4fMeeJFU1vjV4zjPnJK8Owy8kD9ryeIEiSILU6v+AJewMeLfYUMixeDW91y94H68XyDDfJJEVdJ1fcLAO2881ezB7v/zwshu4GEV508U2ZLoh+j4sDbwgqaPl67ZkSiMWfSLNXDrE8Mxx+1J9HRE6J0r8Feb7j2SP4XP78rhJ8HAD91nb2I/jc9F0/nbScCNUgWHv2L/fbLh4iPg17J6l8v+I1GJ8NDhWuDpJw5tjnTAf9eohb8duN85SxU7RxIlqwX3jgLffEnAStEJ1+1e9pS/wLM2BnivPINzacBxo1VfQN0u3bw9jL389FWGLcBjX+pUVTqTyFnOK28P8G+8+b03XXBu33VQXwf4n2tPFv87S6KFRwOjx+HvvHESUT1HIv1JUx834HcD6jVWn8f1pnmPNQS4tG6D4zj2pj8NkUnAXVqdo2pccd0av+B4BPxhUUVxghuJltNvB9YAP5aY/9nZnUSrpA2n2oDziGotqV0g0c0DA8e+AfefDdkm4EEi+21GVbPA/eqcDGjsTlKZa7n7/jmj0A/Phoskik3ucBQGLv1kc/ptT9z3qr6XygOX2THx2vUSiVi/DM0eAn5K2v7Xoct4HtF+sdcSuL6Jt5CgF4m8ta+dOwv8ut5u3Z/YiyV2pwUAb6+8eem1N74f5ZtfxQHn04zOuutDIr0ynbH7wA/E7Gi76EuilplyhkrgQZpuy7pXSBR1iIe/Bbgom8kOUT+c50lz0X7g/v6fTvzBrq0QLf4TPm/098Y7f3yOnJ+IsXwFOXxbTU1WAL7fuz9sWg98OlN0yjuQRA9avnJJA+92Fdty9Co+R9GDv/cDd9zdaCoehHOmS8+no8CbE1ivL2BfLHhTfAq4ocq3Zx+DSWSYURp6Cbhdq91UbgjODzG3jMOBx0/7bgsIxfdR08X1qcDjju22NrtGorbYI58Lgcukh8VKh5GIVNp+8wVwc3ev1wzXSRTDtUKtA/iWyywrurALG3d9HwVee2zHvsJwPAdZlkTNAQ+q+ekWEkGiuy43t3P3//PBo8Z5VpEk+q/TrVoIuGuF/siuKBK9HbTQkwP+LW1QiO0GiQ59OfRRAzh/Hq9VH3YzXlVjc+Bzod2JpdE49zarvHUCntOj8jH8Ju7DJlr7fYEfM1LksY0h0ea547k3gDvGv9XfG4v7M+tV7nvA9XRnI7jjSJTVVHqmBHi6cHXzEHb3sJnal8CFqzdwVMaTqC5Wl+cz8KyWlTo3E/D7yBdbfAcuNZsc/l8iPkdl0rfngb/7XvVG5Ra+j04/a185AHKsngf36iQSrb9hxyYCPOj1C8Nx7D0+wgrywM9yPoitSSaRgveMpSZwyefCnQm38VzQPuZlDvzy9R0bXFJIVPDpd4wTcPmNH0+o38Hz5juhTB/gxwU5swRSSVTI5JgfBXy18qdxGvvVV62P7wJPENq782UaiXJsLPKLgKt7Sl5KuYvn0I2MmfXAU74/rnZLx/uu9SGmA/h+iWYW7Xv4fMk0eI0C/9590XBzBs7zG75YzgIPLihJ+oX9lqWgAufgP2c3DBpsziSRyL5QNkHgSY7D0veySGTEsL5DFrjHg85Ll7JJJMTw6TYCvvDkWL3+fRJdC647ZgS8+NDZVVsf4JzQ0cV7CrjCMo/1HHYFNZH6i8A1YzRy3+eQKHx18tlrwF/dZ525n0ui1CR13mTgpdQxzSsP8TpvEip4CFxutXK8cR6JDIgdGs+AX2l4OLT9ET7XRz0/tgCfLciRX8YucPun1VfgWwN2B3fmk8iKL/fLJPDUEf2ORwUkWs2SZMEwBJ6P+rUtqJBEZ+vq3q4GfnurhNexxyS6c1NcSQz47LGxNzuKSNRR05y+B/ipnt1CLMUkMk55tKwFfL0594Ve7Obn3x07Bvyij1tjcQmJRMN2PToD/Pf0yU3XS/G9v+vTjA9wxcs9bjZlJNpdUasSBfxPfn+jQjmJ1p6Z8E4DvkbLdTPXE5xbbp4qLgQe/uP6xUHsct4iQ7XA3WxkWp4+JdEWd3HuNuCMqpZi0RUkknp5aecQ8HtKPH6nK/E5qlmt/wt4HavhJ+UqvC8F83bMw6DejPl38T0jUXuvvDs/cK7W0xFj2E2TKr3Fgb+RUP1W/Rzvl0ysryJwKd47agnVOLeMVl06DPyw4tVU5xr8nmv2uVgCtzCYmFWrJdH1JQ5LZ+D5jENmAnX4e6fl1HyB17IdL6WxB2sUi0QBF115nO/lCxLt3xv+NxX4tYZB15R6EvVvePauAHh9L9Xq1kAiZpXDKTXAX7H67dB+ifPeqJzte+CZ07HRm1+RCDl5Cw8AD7WUnvyFPWWlSNcU8BfDh4++acR1skUigmEE/N1DRPG9JhLxTN/csxr4OjmetZdfkyjog3XPFuBnLJ5eMmgmETdjlNdu4Nech7q3vsHzzidRXk3gVoIx+/9iRylCGabACaG6jA9v8b2ZEiz9H3A7sQusOS0kStxq/NgTOFP/fRe/dyS6HRQpcw24MoN1m0kriVSY5bJuAY/YH6so9Z5EutMaa3KAx2sdvrviA+4zma+uPAUu+D6A5TN2Vsun/U3AWSMUzxW04ff8b6NqF3ADKdfO4I/4PddOxY4D5z8lfsCqHc87pUqDs8Bvjx3P2dWB9/fmrCTHt3++12U1H1snPo+/Zc9uAP5fhpZvH/aUnb05ksBf7p/7VvoJ99tohj4l4Ky/JY0iPpPo64lMLl3gLF5dz2278PNEzW4r4JV+zJKK3SRKuHrMzBm4XGVB4soefE+5urn5AM/62s44gr2OkT00AvjJzEtuVb0kmr4mEp8CvL0i8WvMFxJl6jxLyQMe82mXgWMfnluTuu9UAdcs0n6+/yuJntRcufUGePnfbum1/XgfuR5E9AB/7zx2h8D+9I25FwH8Trkr94sBEm3SjTn5F/iBmAt+SYN43z+ZqHGOgj7zeHLi3BCu2+rMjRuBK70ZtdUcxvur5z8hCdwzwaJ94wiJXFrHnikBP/pSXesH9rXxA0E6wMN47lc2fcPz1OgZDUvgf6Svyt4dJVH9utBFJ+DJ7zszLo7hecRtd7EX8NCizHV64yQKVbtkcx34z5CxSNHvJPrUYciSDFyBKZthFru/T839HOA1g58vtxIkeu3fiJ4CF/0cNJFNkoh9p1N7I3COlOz/fCk8Z3Vl234CfnhQtc+IJtGz135j34C/PKVntn2CRMP6vx2ngYd3vX+3hN2xhGOIeQzU4UyzVuckifK1as3WAk/zVKp7NEUifot1DVuB3+IWUg76QSI+OV6p3cDFPC6XHfuJ+9KWwoiDwL/ZHtq58xeJLl/+MWIEPOlGWB7L7/+vQ+8+O+BriveLf8HuFXrumhvwI8GOmSXTJGLszn0XANz+ObNw+AyJRhujV90EHriWP/XkH5wDU0V07gKf00jesHcWz305J/0KgCszRSdxz5FocI/Bo+fAP3DO8A9jd08gPr4F7rTmQ0LlX7wOfEq/e4A3dW5aGzNPIpM5JR4CeDtnd7zDAonep0xsnQMe7cK2dv8ivtc0jsmzj//zjcUPEtYskYhGXsoCwIsTnvAT2Fu/HlEVB172fm9S3TJ+z3MDinuAJ22S2JC0gkJXlKRlNYH/kgu7c46BQmkxcoImwL1bzIU0GSkUXPeb2R74UnZixkYmCn1bd2nMDfh5T41tP7B7DT5pCADe+efkwyZmCs2cq7gdDdxmlJC9y0IhEc4rZ9KAH5kfLrnISqGnTEy784Fz/dDdp8dGIf9cw5kq4KuDhGtE2SmEtGxLm4GznLHTnMX+UkrJuQv4PVvet60cFPqS1bNxDHjlVhnj+5wUOr586NU08MPnyrp9uSi0PvLKGebvoN/O5toZc1NoLCGAbQ1wuUAOYvtKCuU6H00XBc5W13lhGbuq1dSuXcCPeKxc6FxFoavFts8PAI8xKwrN56GQbU2mugHwc1tqeIJ5KdTQ+rTOGnhe4t4USz4K3dqVoeQMfJvLhm27VlPojZxtvhfwLhuHItY1FDIWmVkfBvyLzGbVPuxbdU8HJAI/E7v/delaCu1bfNSfBfzd4SbTCH4K3QxrVSoB7s1TNWi7jkISiu9u1AFfzOB3VRSgEJPVw95W4PPPuxdWrqeQ9IHTW/uAo82skSPYc+WWT5PAcwJSNjzbQKHrQb735oArZNzKjd1IoV7/nk42AuRh9FfRaROFyi5uZlkHXGfdq6YDghSSKjm0Qwy43ciMBf9mClmEmhrJA3/icHOcxH5MVe+8GvA+q2jveiEKGWyTDjUEHuD/i/O2MIUso6cTjwM/dbMm1VWEQpmvHt1zBn5Ob3KHlijelw1H7nsBT3cLfSG4hULJnweyrgFfVx1o+gt7uqF9agLwVZMDY81bsbd0RGcC73l53/eeGIWa05V8i4BPLrTyXN6G33NdnF0N8C9mx7MNxCkU4d+v3gJcP9pASUwC9w3xrYI9wNn/y2z9i739uM3UGPBfyVan27ZTyM01rmYaOM93z785khSqza+7xkSC+ln7O8ZfikKcp4jDfMBdejokzKTxdw3wsggD3/dXoFZahkLvPfY8kwFuurvanFGWQlPOli7KwPUPvZzowm651p//MPC3kzJhj3dQ6L+a7Eoz4Mk/Z4Sv7aSQ69NWi1PA41ZuqTy+i0I9BouTbsCfryg03i1HIY4PckH+wHdGpVAc8hSyjzq3Kgq4qNvYtQHsBm3FCbeBj5xNEH26m0JK9PLaHODEwYznNxQolLDD8mYZ8OqSlcdO76HQh+Eapnrgy1e6fynvxX/XWv7Ce+C+9swxfIoUqh8u6/kCnEMsWmYc+9m32vsJ4A+CLjXX7MP905a6/Qe4I6p2SFTC/edn1hQzBe7fTfbMZ5UptPG9q/pq4OpdpzMPqlBoUtMoShg4r+IrtQ2qFLqXqdMmA/ziXFD/JPaqvVa8yvD5wTT/xv0UenskREcb+L3H/EJpB/A+qjZfMQW+KE5UeyAKCelJ5dkB38CxyUZXjUJRb3LbzgPnXJ+7JKJOIR0OrV++wGf4Y9P/YP9txsQTDlzyVada60EKyS4Pit0CzjLuOZStQaEkk2GFLOBs6u4hvpoU6spgR0XA38Y1iRsfws/vM9Gohr9zz6t5uxaFghxeqr8Bfl065Owy9kM+J5Q/w3We/c7zSZtC8fXCsiPA9zQ/LM0/TKHN0dwbfwCPsmuwCNahUIr0NoYl4FdD9i5Y6lLo1XfnIU76n7tPM2bs0qOQtUB/tQDwtsvbtdj08b3JFBwvBlz+/QOyD3v1vMUpOeCo1i+2zIBCfEdPyh4A/oKrQDHSEJ8vw5QfusDTvBS+2h2h0IAWZ5EF8NbmNaH7juK6ulbkdBr42QZdGR4jCnWfiN7kDrxIsrv9G/bzG++/9gM+Xlfj+9wYrzPXjGsEcD+D+a3xJhQiA4L4koD/iY9uOWNKobBGvYIs6Me8PNXMcD3sMNEoAr7PrkJIwJxCdSwp7c+Bx7kbvqaxi6SK2jQDnzFUvvDSgkLyauRQJ3CPGl/BO8fwfac2azcEfGfo6iZ3Swqx0Tq9E8BdnZbcD1tRKCN+0HAe+E1ZtFnYGtdbcN1ztgmQu1I6Xk9j7+MaF1sL/KJHzcWW4/h8+VqGiQD3DVgQyTpBIXHRdSMywMeCo99521BIQF9YRQl4utZFn6MncX/TuxR1CPqNAgkJWwpdOyfYZQScSVi5cxH7EsMaIRvgy3UbgjvscE6wsLZxBj6spC/3yB7nhOqZ5EvABY629V89hZ8PGn0XBFz0TW70sdMU4p2RXowGnnH+4/6d/1GozeG1+B3gRsyGNIsDhWa3VuvmwPc03pT2BfudK1xnSoHnCikblDpS6F1t2dVa4NpyeYvhThTKVq1KeAuc08il0PYMhfYf3Jz5GbjUIb+Tis44zwj3PxyGf7ezn3eVC4W2izHkTwJneR1XP4K94m5I7jzwhm+JF5+dpVDkV+d0tkmwbtPj4nHnKPRavjxmDXDxushup/MUSiROXxEGfo7bPwq54ro187WXBp6fWYvWueHnX8wdVAQ+o3v0F4VdLGBwswbwy+925jS4U4ihb/cvQ+CeP09Yp1zAeVjqZ70VcKOgHh53Dwr5PNl8wwF4yKH7L7Uv4vr58NToAvAHzDXeQp54Lmh6wesP/NR1sZ3T2N1I1TfhwMNud428vUSh1ggp/0TgP1b0pGReppDgdKRMBvD7YduNvL0odN/bvjMfePlMA9tRbwoVOT72qgBuJpBfI+5DoZBVF9e9BP6+ZMBzEfvF6uLC98Aj4uxkO3zxfddwRr0XOEvgjm95V3AfcEtrHQXepamddtUP1+caQ/OfwCvyHpkd86eQ98KVrkXgHr7Wq3YGUKjcW9qMY+qfTwWaN7EE4jzTa9WyFrhsaGrgF+xtrtwHRIAfNpZVLr1KoXNh6nnSwC+VsP8OD6LQAfd5XkXgjG47Cm2DKfTwisqFg8AtzO46KYZQaM0cY6sB8BmZY1tXhVJodI+JmCVw3xfWX0ewRwbJep4GntqXe/vZNQp57IivcwUuoY/M4sLwd4WHsvoCZ+4S4jtzHffnQRbta8D36Gu/Q+EU4r7OHxQLvMujInxdBIVOvy1/mgpcZOMFLRq72vzYWA5wG86LTC8jcS5yLFhdCvwvT01dShTOmTZs+2qAe84c8Xe/ge/NXX8smoGfCZdUPRyN7x1Z/wsdwGMSdP8K3aTQ0ey0sH7gxcMlFdPY00bMkwjgVQftL7fEUGh6/6OMaeAP/Y7tzYql0MjynQcrfvzzFNvEae84/Ly31AMu4LVP15cfjcd9ad7i3jrgp48MXZRIwHN9x7ZEUeC/fv1QWMIeaZoYIgOcdNee7kjEc8qbnPOKwAcSh8of3aIQc5iNyUHgETINl4KS8P3eVSVvALyY8buiZTLOCTw13MeA7/tmMrfzNu6HvmcG7YGLZjA9Y02h0LJLTdE54H5Ms1f6sFvsqvHxAh7UvQuV3cH34HpnFAzcY6qAITL1//NIw9IN4OX8ri/t0vB9F/e2Ihn4i3UXw/bdpZBRQ/C5LOA7XjzX5UnH+dycFiwEnj10eNUo9n2pHE0VcN0Or//4/B6uw+FulwbgIy+kbsVnUGje9yRXK3z/TYFWzpkUelx+534X8O6t64XVsyikMHBTeRg438OfwwLZOGfq7X9DA3fx5nk4gf2u1n3TWeCap86ff3WfQn9Em7sZf/5z7j08CqkP8LmWzbNcCdy0+sfchRzcJ5/qdAgAr3nDX6eTS6FYvoc6W4BzyPheE3lIIa+I5koZ4FxFogZ/sO+6kC+mCLx8G8fa1jwKBa43iVCHv3Ncrjf7EX7+XQ2hB3zXlpRM33wK8QxMHTIHflxbw9m4gELEPeKOLfChFBl5yUKct08WUM7ApSizv8vYe1yU93kCr+Csrf/0GOcu/nj/AOCSjY6RBUX4nOZX1IYDl544YhpSjHN4YP58PPAY48ubrUtwLh10lb8LfF9D36hcKYXGhZlP5wIX5Q0uYi/D+xXhHFMC/BSHo08/9nH37KfPgUsEhGs+KadQ/rbS7ka4nurEqhtPcJ6ZTpr5ANxFNLz71FMKycmbruoFXj/xX7ZyBYVqpL6LfAOu4RPoyleJ7/edx3ZMAk9J6FIex74iJnPvHPCQVedZa6vwvJbarMT0659/rlD7mPgM96XsVsWVwENOH7179jmFJOdKdgkAjx9KdcYDFtr8/bKYKPCtzOKKG2so1PhSaI00cOcUkukH9o1fchcUgD+7RH9oqsXzS4DA4AHgvs7Sd+/W4Zy56FJ3GLiM9n0Xzxd47svJSTEGfvqrlZJ+Pc7n7966HgfewaDPtrWBQoy13cgB+KFgr8457AtvP3K6we9SGMj68BLP45oVH7yBPx0LupDzikIfvSJjg4HXn7dV92/E/bDCwOAG8O47XrxmTRQyNl3BnARcVf1tv/RrCuXdyS6/B/yg3LHHjM0UavmqYp8H3OqAcEA39qZzTRxlwNlVRI4UvcF1lXw4vxr4xJyVcNhbCkU8rtNpAl5j8H7yRAvOLYxyQx+Aa3P41Sm8w/fIYIpnD/Dzy6diuVrxvZC6zDQCfBdTiP0Qdt8Q2xs08IyxL7sr3+O6Gq/h+wN8MuA8S8wHCkltEIxd8fufH0vf99mhjULuDt5cnMBVN6g83P8R9xmRrsA1wLleePqubaeQX5LSD0HgR53HDUjs1zelHxcHXjgeJ1LfgXP4AkfDTuC9PJ6/kjspZBfpK6YEPKc0utH1E4UCBKYDDwJfyOm/rfWZQro/LnfpAf9U53hucxeFaCcWaTP4Ph/F1X9jT26962UDPL5IkP9tN163C4deOAIf26nzPaMH96Xsv8zuwO+L5Vd79eL6L6/V8AGucepQ3JEvFLKcTvQLBm5Qt9ZRvA/PX2X+JVHA7Xg3qi5iZzroO5QIXGW7GV/HVwq5TEatTAf+8Mur0bx+CgVzl+/OBZ7IePb51QFcV99/mxYD/3teO+7YIIWefTJwrwI+NWPhtHMI3/tiL643AM90TTvAOozP6Zajd1qAmxUK8Pdh7xJdyO0Efup6I1k6QiHtC43FX4EfaH9YH/GNQjtPF5WPAT93+sVtu1Fct9rPyqaAR/OtdN83RqG4c+OFc8BPFEUd5hmnUOY2pWzGaVDP69RERrGb1xUmcAE/uFFi9vl3Ci3e0A1cC1wpVv1DPEGhsa8rHTcDv210M9eZxDmH6e9hceDhcrxX1Sl83vV4xXcC12F7abmexvmf3XhJEfiOh3nyk9gzw+va1IDfpxu4GicoVCt84p4OcPlHPN9SJym0ZZOkszFw94obNR5T2Fu27bQGzkPtT9b9gft5sOnkKeAdgiIXRH/icxrzJO8s8HRRBf1Z7P6aBnaewP9r8xZ//4tCWZMb1vgD38X0Y8WD3xTSGNpcdw24aPTt3ivTuP7PWjndBO6q4/HEZAb3pf4PXMnAz3L7x0r9wfdaZFDePeA+hZVnGWZxnq9103wIXIBN/HAX9ph3qd3FwD/Q9Vsfz+E6Z2F3rgJurByzHPoX38tPS6frgVu+vNF7fJ5C/QoZV94Crzr17OnuBQpJvGtbagduN7U+gXORQgJtWle+AD9y8IHbIPYtsQzTI8BT5E4ZVCzhOeUE0xkauMetI1I3lylkE2bQNQ18k44Lm8MKGvnaDB5cAk6LPhlRZaDRzd11uawz/9x6bmf9GkYa8VmQHDzAyZyudAJ74IbTDgLAlViL/F4w0cjirXSNMPAZqtw6mZlGAtUafNuBTyoQSq4sNNqPCk7uAr78RH+9FiuNDDLPPNwHfLN+34wgG42a9vpMqAE3fXen8xd2eYOBHTrAG9ZcL3vDTqM1e9OcjYBnzmbEZ3DQaEq9JMMS+AGz7xe8OGlk+kKkww74LKON8REuGr1kJhicgev2LsuJc9Pow3Ee6QvAXzxt5VvEzrwx7ogPcOYLb360r6QRFeXhGgS8efhnW94qGq1nLY+IAD44ql1ylYdGGz5ZZMQB323WHHeMl0ZBBidKU4BXsl/22MlHo2/PG+sygYf0HjVlXU2jnouJzXnAK3LM9/Rh//XqzbsS4Ena19eVraHRmxVO76qAn0v89idiLY3+eJ5/XQ882+V8tx0/jdZe6q95A7wqe8uzfetoVGP0vOgjcLSJMY1HgEZxlqx3e4D3PeQOGMUu/bXm2hDwo9IH7arX00hm15gzAfy8T6ZGwgYa7b0XqPsT1skFWXGXjTQa94/a9he4FT3EfnATjb4Lci8w/AH5oameXC9Ioy9vVrRyAB/vaWmdxO7Q7XKHD/hdJoaSxs00krtteHoD8FLBk4lpQjQatcrbLgo8mmHM66Iw/i7XwPHtwPNvJB/XE6FRofjHrF3As1I91LaI0kjw4z2rfcDXc3qJzWHfUk9zqwFvLb7P/mELjVy1q6q0gce7LlAPttKorITt9BHgRsJX2vzEaHTP9DO7BXC2NLEnpttoRPhJPbQB/urldIq0OI0OBTAecgBedmEygFGCRqcf2n45B5wnmO+/buxL+lqunsC3f7TWLdpOo9aqssUrwJ1VW3eGSdIoXKMgLAS43l0nfhspfF4U5VZGAbftkJpXkKZR8bh6dDxwnWdrB7lkaJT0YIDzDvDXO8WbhrBb1q8KzgT+YNXJgkpZGlVFvZt5CPytQm18zA4aeZoLORQD3xmg5eO4k0ZGboxtFcAH3/y2PbCLRqukfRXrgDNON2vzy9HI7XP47SbgLT2vdlDY9zfu/NMKPNxynL9BnkYqh88f/QQ81VBu8fZuGu0q1LrfB9w76d6ImwKu88NV0yPAC/j2tmjvwfV25o06BfxTyo9Sob00enXSK/wX8Fze9jvT2AP9XrX8BU4c7QluUaSR7JpSLsbZf+6rxHY2ax+Nbrkf1OIArp9raeqjRKOY7xev8AK3921TNVLG7/lWr1AAeG/M+W3bVfD6nHndKwR8qHHXqmXsS6spZnHgtfMCfzpVafTfhgpJWeCvVooN5O+nkfc7WV0F4P/1mjYHH6DR6kBDBxXgmzXySqwQjdiDNvkfBB66VSxVTg3fI2K3YnWAa1rXh7Kr0+js09p7R4Fvag5x7cd+M+r2Iwvg3Xoulk8O4nv2t1iJDXCHek+NGxo04lA7VfYf8Odc2bKnNXGfrzMrOQucYp0RUDlEo6hXi488gK+Pd2FcrUUjtYzjGT7AL99kpsexC2R7xF0FbtZb97lWm0YzQpoB14GvNb9Xf+swjers3zveBL6tP7PgnA6Nc+w6/VvAV5m/TtbUpVH29U0yacDdU3hDNunRKJq7ny0b+Fykr+tP7Iup9v15wM9xclg369OoKyKnpBh45nSF1j0DGq2UeHy1AniYbKT8ZUMahdT76NcC3xgXIGR4BNd5IdeaRuBuTLc4tx2l0aTyqc4W4EV2rTPz2Gsqg+Lbga+7sX34oxGNrvu6GPQA//Ff9vuHxjQ60CbENAj8fov680ATfO9z3S0bA56XseKhhSmNdl8h7CaAX381kLjDDOciDxauaeBf1w8FsZjTaM/Bqcfz8LxcYXb7gv2FUv5Rxjlwfj9onyi1oNGPPGWaHfjaP490I47R6NloaigPcO4Pu/bZWdJo04GODeuA16h+2rbPikacjEMPBYHvF0pdw2ON+0Bw056twIvNghhGsV9Zc61aErjVy+uTz4/TaJ5RWH0X8CC9x33xJ3C9ZcbX7QV+o2X6rbMNjdw1v6nsB/57+/Eq9ZM0ctzHX6oB3+fgUO56Wxr1vRcT1wXO8TcsaRJ7mzV/4lHgzPIG1xrtaHRYdnzZHPjMWznPNHsaaSXedTgBvPThntMXT9GoZUSp+RTw7QXHTPRO02jo7DMJZ+DGFSkHt/yH69xfLMgNuHrBvNwc9s/Ol7ouAd983lf0gwPOq0ElUn7AN/Zt4MtxxH1MoMcrGHjol08r/J1o9Nx7oj4ceJVhyZTpGRp1/p1ijwG+Y13+gLQzrhNySPcWcFv+lx8YXWgUkfbqeipwesffum7sqnYp9ZnA/Q8ZFhedxfd+mP1sLvBWlbqMsHM4J9gLSz2G9fD7SJzNebyPBz9alMN9MVkM2uOKc4jXlavP4O8ovfbgdqPRIzPhnBfw+aii08PYlaSfv24C3iXzxKzKHZ9rXdPRd8Adl7u0Yi/Q6A7T9+V24Iuj6/c5eWDP9eXvgd/b6CmJLtJII2KlxADw9KDJjes8aVQwl64wCvzmYig3jX1SW+EABVx/k9JSwyUaiTW+1fgJ3LOWfSrlMs6HrxwPzcLz9e73oLsX7g+3ODSWgJOSi+2HvfH5iixRZf4L7ounoo3CPjgP/z4lzwnczdq+Ygb7tq3CYrzAH8/W5L3zpZGZ0ze+dcDzPBTTsq/gnMZfMb8JeGDR25u+fngO8k0eFAXuHO8bZOxPo2EirEECeNEKbU/JAFxv5WEZssDzv8g6rQikEbfsbd/dwN9x7bL+jP1xRrWREvD4CwaGhVdpNHh6ZisCfnM6VD00iEaNTZo/NYGf8e5WOB6M+/CmvOe6wD8PaW/fHUIjvWKJ4KPAM9a1beIMpZFiT80hc+AP5i7yDGL3GnNjPg68w203U8U1PC9IoVo74DJ23H+iw2iU+kvqkiPwusfLxH/XadSRsEfyHPCn6iv7VcNpxHXStusCcO0FhfY1Ebj+s/KDvYA/e3mpicAuW7pJ2h+4a+DHZy8iaXSxv7A1GHj72sNFyVE08vB2PB8O3MHxc7brDZxjP2px3gRedSLwtlY0jaxUDDMTgF/sOxi9+SaN7rME7E0Brt8iFPwbu2tQT2M6cA7etV5vY3BOY7Q3uQ88PHrLucxY3D+71n3JA14mq2vvHYfzg8lf2yK4v+0RFkfj8T42rhwqB77NYURfIgH3yavGJ58BT3trfnAJ+/Cn5q464JLEoGJnIo1G1nkaNgLnyw2Vzb+Fc128Wd1b4IWk+tbgJBo9TD27ow3W1Z11G6yScR2GPEv+BLw6jYlH7jaNplM1lnuBq3azs7Cn0Eh0L6v9IPCrCuLzX7FnZjC/GAWufsv6R/kdGpXvUhOk4O98yx2LSqVRskKVxw/gOuyrvp5Kw+uz5NE0A9xwNKJD+S6NmvvPCywAP+gg/JYvHedtyfxTDPP/XN717Ytx7PKysvmswBXGoytq79GoX+XXFBdwn4ozj29l0Ojrg2U5PuCoyfrBuUxcb7UmruuAd86fTtPMwvfgp6ncTcBT94cmbMrG9XOg66sIcPaLzyN/YrfR5uITB373Gmdw830azR6MRNLAfx539bn3gEb+QZbOu4DnfyXcL+fg+cjicuwe4Nd+XTljmItz9erRMmXg2sHb7LY9xH2VJacDAW/xHDm2gD3x6rMpTeBMpZVH2/NoxNIlxqELfGzL/cN5j2i00Wpk8xHg4QUP1K7m00jYcn6HKXBOlZp9xwpoZCfuomoJPLmU3LWz8P9z0x4tG7j+yzskWR/je8HNSv8UfB+266J92JNivhg6AU8smdlQVkSj9obnBueAPyR8VkcW/z//LBy+ALwxaS2XfQk+Rw9T1S4DD85sYFIqxflz+a7CFeCRv8IWeMpoFFTAvO0qfH8Pu+lR7CUs7/muAb/IdXSiuhznYcvlvxHAF7NMxhKe0OjS3K2Bm8CFxc8OuDzFc7piUn0C8C6f290HK2iE/mPIuA1cKbL344ZKvL/tn3zvArdVk2+Zwv6kfb1JFvDA4LRXTVU00nn6WjwX+Of9m2vvPsP55/3YTD7wZ8eKKzyf4/U8d7mhGHh0tWWJfjW+L4a9op4Arzdbl7+15v/9ijZ6Bryfc+z+X+zaKZ/W1AG/3Pg2va2WRlv893x8CXz3hZe3c+to9NKf60Yz8KY/H+IDXuA+QFtqtsL1VPtxw7we94FNW2Y/As9T3HZdtgH3Z6v/cj8Dr3p1Noj5JT4vC2JmX4Bv7Wy60ot9u5H90gDwySN7L5e8ohHrI6Hsb8CVRSrcwxtppGJtrUUAl9llcNa2CX9X6YZvE7BunacdFF/TSJDZOvAX7AMVRXarmvH6p4usnwWexBxw/Bv2959c8heACyrbWjx/QyP9+f37GRb+uYCGqXH8Wxqdskl+wwJ8Nae1gXMLnveNrphyAs/zvnhY/R2NJraRPauA37hyT2N9K86TsqMn1gD3Wfx6YBJ7QsX5PgHg+8d2Kje+p1HkhmuWgsDLxeL3pH3AfzdD9qMI8PZ77HIX22j0KsNBexvwOK0YGb2PuN5c5CslgTMySG3f0k4jHqM4iR3ANZ51bp3D3p8ZFicPPMg2XvhDB43yStb83Qt8xRf7TTmduJ+3KdqoAOfcoCng/4lGA0bTNQj+XSbFNWafaSQUYiCoCdw0VIVHpotGjFXqlw7DvxtpxMXUjec4zfYWfeDrGbzZerA7XWISMQJe0VbMVNyD1yG93dUMOM/3+eWwXrxuqw89twT+Rd5iweYLjaaELVlsgE+kNMzu6aNR2gY+PXvgW1eqT3N/xXPK0fM3HIA7e77/MYz9sMCFFmfgNbXnJ6r6aSRRs5ndFbh8lxAZO0CjuVsX1DyA9+f1jzkN0kjql7vnZeAzW4tH0ND//y+0OccX+OOd8YPrhmnk5+vZGQDcuir0K409QPfKihC4zkXXe1+O4LljSH77deAsS3e67nzD/ScxRT8KOHWztvPCKM75ZWXnYoDHG//6qDNGo4qYoMgE4Anyih9ExmnEf4XlQTLwJMHId3+wDzcdqE4Fbrk48ab1O84nr3a23QOe8cL+9X2CRrmN3YPZwA+bj766QuJzIXhgMhe4Qq53gwlFo8r1NnP5wE9mC76QonHdcqusKAbeqvi+hmECzxc6n5jKgScfiX3ehb1UVI65Eu5Ll33V40ka1X7TZ6gG3lenUXFtCueQMan5OuBtv3c/OfGDRupeLT9ewjq0312m8JNGhd/lv70GPj+tXsL1C+/vjZOdLXBf7p4sGsKuXWZS/wF4gXZUYeVvXP9FvPkdwEMGmvJjpmm0rj0prgu4pPnqR44zNHpzjvD8AlznlsvDA39oxPSRw3wAeFZ0ew7/LL4fjf7IjwBnkNV9QGH/q1rGPQ4cnXyf3TCH8+eo+jAJXHvNqayUvzT6kZ7xZBL4GkWWTPd5GklWdVz7BTy3ovze4QWc9659MfkDfMu1i+nCi7hOLKo2zwPPvKF+dwb7ez/XkSXgttWCae+WaMSmt5jDuAhyIBNravYyjRp4/3NiBf7YcDHFd8UEChHJ3cYJfDqKMcWYYQK1vm3qXwl8IJ//tiTjBNp6+tUtPuCTqXuTVzBNIHaVTF1+4IV6/yV9xr6ccXJ+PfCqnIxbhcwT6AaxlCsIvCadTAxlmUBKDldNRIB7btFIPM46gUIdxv9uBf5AKDdhN9sEmlXdky4BXDJ4YwIn+wTaoHJGTRr40IGU+EHs50pCv+4A3qgmEV/BMYH8f0d6ywP/dPlF3E1OvA7Gfnx7gUu0O8U5cE2g70LWD5SAd6hvjtvPPYHM8sT37Qe+qvRr7NqVEyhVa7BRDTjfuoJYErv2oShjTeDiVtdj61dNoK9/tvdqA/9fO3f9VOUaN2pcEbu7JVTE7kZvAzsRRWxMbEHFRiwUE8FAsDuxxUBUBBRRxFZsRFFUnscOMM6958y879c5f8GZuT6/ec2atdd61p2zZ9g33iMgOL+h3h465dZJdMvWwwM8Chjq+zmH5K6i7740IqBdQUP5Twkb0kP0UqmTA8oVMlQz+0rPeon+Idg/4KvuyyqudO0jemxsWMC1wobKfuHT9f6i9xj+NmB7EUM16dC9lZvoXQZVCZxR1FDHCu07OlT0+bumBDoVM9SfcZmt3UWPr5IQaF/cULsP9F4yWvSij+uu+qt7c+uDH8eJ7rRvx6p7JQzVtVQ2F0/RfX1tVoeWNNTI924nJ4seNWDf6gWl9Hh4c77oNNGrlldr+pU21MeBFTxnip4W82xNnTJ6PGzzvzJb9NYNlq3NWdZQTpZZrOaJPmOYY9Bz3X/e9fH0Ff11ixzrTpbT82JU9kg/Ob/C769bYWWofPnX510mepFLR4OHWxtqU0mH3v6iX+kWHOJgY6g2D99tDBR9a4el6wvbGip42/6kNaI32+G34a3uVaJn2QaL3rZ7wMbI8nrerXRz2yD69OY7N62rYCjnPq7rN4sePCh684SKhsrvMfz2NtG9dxhb2toZysVucY5domf/U35b2UqGOhsf3WSvnI8Dhm3/ovudkyVHH5DrydFDO67aG6peg8VrD4ne8EPWXdsqG8ozpMiFo/LzZ3PfPb2Koco1iEg5IV+fcmtP96qGut13Qa7Toqu5HfZVqmYou75jqp4VfUNs3P4/uof6TupwXvQtoS6hd6vr9arGpmEXRd9rk3bwQA1DHdn9flaM6OWKrTg8v6ahBrR0C4wVfeasxkf71jJUUJf0HVfl+GlrHqtd21AZZc8evy56zuGHTuSoYyhry92RN0WfEDf95DPdNzqdvXpHdKuRXU+H1TVUHtfft+6Lfr9m9fDl9QyVbdSY+w9FH1i4WMSw+oaqeC974hPRl1rmPN+0gaEsP96+/1yOn69ZIws11PM6983byaK7388Tlar7kCmZ4lPk+rOxbMyFRoYqtWBoVKroto0aXQ5qbKh034yw96LfDel/ZXwTQ22Ov7LbFN3x5JKrbZoaaseBhDWfRN/oczG+jIOhdk7ON/er6BVSstz4rLvD1EWjfohu86TrrbhmhsqVzaFbhtynXLbf2drcUPsmVq/zR/RPbTLfn6YMdSrfgEKZ//xv37xhZGK3Foa6WfWamUX0yV0SH9m1NNTq0rPisomeqZPz09+6b645fltO0R8uuvf8TitDBZzePjWP6Ae+DUne31r/XrnLdcwveqUlP17NczTUFq+nJQuJnrt+0Js+bQz1q2NKShHR7d82f1erraHCHzc4Ulx0lw1mWvZ2hpox6+a0UqJ7N9/74anuj2aebFZW9BVRYz6faK/XvWpv/1qJvqxcw2/LOhgq6/PR521Fn9sq98+hHfU69qbJrIqiL7V9k9Gkk/5d1vZrYC/61SPxfwp2NlRNh+tpVUSfnhyeOVV3v6qrt1UX/ea+o5YXuhjq3YmDPWuJbpNxJHtQVz2uqllZ1hX93OXTucZ30/vvi5TD9UUvbBmXt013/TwrZe/XSH7f7S8KlHEylE/XuRZNRQ8NzlLks+6r97jsbiZ6RmK14nE9DDV3kV+HFqIXcB1YaquzodIcSqS2Et0/+7qy03oaanqp7AvbyN/rcaJ1t16GuurpYt1e9LVXylewczHUotXZT3UUfWuUV6Xfuve4U7pLF9FtzyVUudNbn0/mrX7WTfRvB2rX2O+q59HHiRN6yPGzYH3teX0MNXXiqV89RR/QMG/9Pn0NZbiMWNRbdOPMwka1+hnq0Afv/H1Fv2ORwyF7f0MNCsi0pr/oVbIEqKe671hiFh8ketnDNq1PDDBUpRqd1w0W/cXv022XDTTU0vjixYaJfuZ5n45DB+lxe8Y5YITo3ztn7trE7b9zVOZco0T/2OCwU8HBhlobZTNnjOgFV43o9Ub3gvPDPo8T/XKvCn3ODzHUiXsXhnmIvmpSav+1Q/W+WaDV7YlyXiedcBs3TJ8f5jZVXqLvCFw8zHG4oSrPPLhnqvxdvIeNLD1Cz+vuG/LPkL/7mrZjP+ne2ynb5Fmij0+o6XHF3VAxN9Luzpbj2dp68paR+lxh1bP+XNFTvItPmzpKnxNWNgmcL/qlR0VndR2tf5fJ2977it6uZuk5FccY6lWZ5Y5+8ncfV2nBL90TH2UELxE959ImfrfH6vOtxYf3y0R39e65bN84Q0Ukj27mL/rQxl4r5443VOYb45YGiN7x+IbVrhMM5VYy/d4q0Vskx62r6WGohQULWq8V3Sf874Zsnnp/z3V8xDrRu9ZpuvWJ7rd7vtwXIvovB++dxycaqmfr7e83iJ56I2bv0kmG6lzpU9XNos9JLnJwyGRDDe9xa+RW0WuNHn20sZehuhVrs3276LP7XgorMMVQYdGdHu0U/dNe+/DXurc59LrAHtErdA04f26qPldUKuW4T/Qwh0zRa6YZap3Py8kHRO89xit27HR9Ts7RfvtB0c8mfLjWeoY+bxRpm3BYrkuDJt4sNVOvq1+f/Tgq53uB9Lsfdc/yq5j1CdEnJi56GDtLj/MZ7x1Pyt/3UOlnm731OefiYPfTou9fdCJ5ymxDrbSbtihc9B59er3p4qPH//daOyNEz1Eq432FOYbquHD5hfOiPzu/62OG7vEV/RMj5XNr4frt1lw9/is1/BAl+phV+TP2zjPUmscLLS/J3yv02t858w3VMMinWKzoY339LV0X6PVqj61dnOgzC7rmrOmrz/9DPeteE/1vO7t82RYaqm+Jcc2vi97PKr3QE90nlCze7oZ8nstvFz++yFD9T3l0uSV6hyVHyyz10+eBtjOd7sh9KleQzZDFhppZrJHzPdFLZ5tr13iJXn+m7+nxQPSIiR5VCyw1VOsL8d0eit6r3fBar3W/0Gxvx8eiB84YVP/cMn1fa+3Q+qnolbMMarJmuaFG2/o1fi76o/tD1dgV+l5cbUX1F/LcYo5zbO2v18/j3axeih7XwrtDqZX/nUOu50uRn/NiQNePur+bm+vXa9Gbjt3vHBugz7Gjs71OFb1xvTjXzYH69cWjEt6JfqqgMWDKKn3vftgyLE306IxiQ7usNlQDywUhpuieqY4jK6zR99mUJbM+iv7y5tRxGboPu9O7/2fRHQ8cmnhrraFql3vf+KvosRPeT90bZKhCxToU/S76ocI1vOes0/eUvB7GD9Fb+0+e1zvYUEkuQ2LSRX+SeH5RjRBD1W9tE/JL9Htv8y/Pul6PnwoHx/4Rff3pYYGPdW/VOVezTH//t29pdi7o2AZDDc3TMLeF6IPHl9m4ZKPe98Pq388i+qjWPtsGb9Kv35B9a1bR2x1P2d1os6H25z84MrvoG071CM2/xVBFh1SpkVP0vO2jjqbo7vrK+2Mu0Tv2bXQqYqvel9/tPZpH9IKvj0Ss3qbP/zGHPPOJXjGlZtSY7YZyjFlZo4DoLt2OxrbaYajfDl1TC4o+p1Tj6yV36nvB7NSthUX3VdG3P+ju/HCoa1HRncKcEy/vMtTA7efyFBf9+ZTXTzft1vf0KhnnSohec7rPS689er5cLDWhlOhdTpR+23mv3l/OlitbRvSu5c+a5ffpcTUqx5WyovcMd/uarnt8mcSJVqLP98qZcXO/3u/sAkvZiF60Y1imvQcM5Z1Y74Kt6K1ru2ebE2qoywsvDq0g3798mTy9D+rz2xyHrHaih5S4W7DGIb2vFd+xo5Lo43MGFs96WM/HzektK4ve0OhR9rHuW9xbPqkix8/54uWPHTFUv6jpU6qJPtTruf2So4Z6n2Vn3hqin88RWmPwMX2vnxm9rabomSZ612t0XJ9XZyTWry16+F6nJvlPGOql86tLdURfvqdyixTdc/VJ7VVP9HLuWdtGhBlq26OUF/VFt3n6stPqk4YaUf3ZuIaid8sW6zTmlKHybrn9rZHoYx4c7N3qtB4nvjHeTURv2yV4QMkzhjJrhFk4iB42YNHQD7qHGLt8m4m+3mL6qMvh+p5SLDibEv1pvfETNp3V95rvy31biD45bYSXV4ShGicvtGglumvFoTM7n9P332q+3q1FD7w7ZG7583pfrrDkm6Podb4PX5Suu0+ZoHFt5TicP3b5zQuGej0i9EU70XNOmrJqT6ShqvW63quD6CvOzw/2uaifc+OMSx1FLzxk9WaXKD1Ph9Vv0Fn02857dlaP1ud8+9nbu4hebMX5/ZYxetzev5evm+hVcz088kj3rFEtpnUXfWzk95NHLxnqikPEMyfRm4SWOLf4sp5fa7u0cZbj57JDtFusob7ZfN7TU/R6OYbFNbyix3mtQ7lcRO8+esWNfHGGelhk/ujeoj9KCb/3SvcYK49YV9Hdp75/fPaqnkfbp1boK/riotbJq67pc8LHkNn9RE8645I6Ol7vL/0e3esveqnBK82W1/X3rduk+kDR32SO/1oiQa+3cafmDhI9a1CeX6bueSa53nETvUGpbhaXbxjq1OxSFYfI8em7Osemm/peoDJNHip6gVuP83ndMlSxbLkjh8nnnF6paOfben+v6JBnhOhtfniVLn9Hn0OM1b3cRV8ac8kmXfdqx4ptHCk/T/9S9jfv6n025uKLUfLzhHnU2HNPn/OnhNiNET02/ko9n/v6fUpuHjlW9GsbKjZ1eWAouz8394wTfULZBS2rJ+r779R6r8eLfqvDq3aWD/U95d7l8h6ily/Toesj3buNXz7QU/TgFYd6Hn2kv6//wqCJ8jmsL9Fv8WM9X5Yevz5J9JcOCwa7PTHUveMlLL3k+Bn3yb3hU30O6X+84RTRs1caOj7fM31vves3aqrow4bdm/xK91CPoOBpcr5YdZ559rk+h/skXZ4u+gXn6Lmrkgw1p+fILzNE357e3G/0C30ObFHdapbof/OdXdEyWY+ftbXbe4ved2nTNSVeGurTrikTZovuODpival7y+jfq33kOrOr5bZLrwyVs0XsqTmi128Su2djiu5j7z+cK/dTa6dDk1/r+1dItYx5oqc7Pz7R6Y1+DqWvlFwgeqeEUWdtUw11o9XBBr6iOyz/efGn7jaDnzgtFH2N39IrN97qc1ds7zGLRK981urG7neG6hVXbr6f6Am2Yfdmv9f3l1N1gxeLPu5k1ye90gzV9FVQ6BLRX09OTa5mGOrg1s4Xlope12Xh2yymoeKU881l8vzjUvHjQ927FAx9vlx0e49L34980Pu7ez9jheiPN4364/fRUH5rBqX7i+71JF9Wt0+GOvPujGWAPC9VCsvd8LNeZ86OzxsoetSUQYXyfdHrQJ9ZRVbJcXI5V8lXuu8q/Krkavn5i56yOvvVUMnN9pVdI3rvvu52q74ZanbleKu1oo8MLFF99He9ntt3sw4S/dCpq3Vb/jDUnaW1rdaJPjN2TpMSP/Xn2eVVJlh024iGLU3dt8aWKREiepbAD+0upRvKpY19ofXynNNqf9eNGYZKGReca4Po+eLce03+pe8vqz0zbxS9dAW7/p1+G2p9zqPfZK/QOWWI7R9DtbDu/3aT6Ieb7Rn1U/fIyp6PN4ve/ssYjxt/DfVs6qdrW0SfPab21N2ZTNW7f1L4VtHTNv3wnp3ZVO/t1d5t8ly0JHJBLwtTDayZd812+X0rL1taLYupRkd29tkh1/OproFZLE11p9Zf952imxPsgh/q3jehYrddoi/I/23zkaymOmtE1tst+iKny7v8spkq/PmdEntEv1w7JHRQdlOV+D4oQ/ZSB8Yfb5DDVIHzhz3eK+f7WcfwvDlN9e5+cvg+ud8NLHPxpe4v2jwL3i/PvSu+xobnMlVTK9cpB0Tf2u5GQmBuUx050c0pVPQTCw/cG5XHVLn6Xa5yUM7HdkuetMhrqiyDL1gckuu/76iXxfOZalBJh0TZk5p1fGfo/uRu04OHRT83ptqnmPymavHmwtwjos/NXeDnhgKmarftmvNR0TuX/Pp3UkFTHevlVuGYnNcBj7J1KmSqtj29P8u+dUJUXtvCprpoVog8Ls9dhw8U+al7ynTX5SdE79M9qPSNIqaa7FjSNUyeWzrNt91d1FRVt460OSnH20aPyrOLmepGUrtU2We0HlSrV3FTVXA9deiUXG8bd2tYrYSpXvUKn3xarv8zWzTPUtJUd6v1aHRG7lPZ67Z5qPupGrPTZU++b9f5SClTdQltER4uerW3pZ39SpvKJT1kxlnRdzYp1HdQGVOtdV/RKEKutzE5Bzcoa6qrbct8lb2en8XIvOVMdSa1zeFzog+c/Wv8S90rbMsz+rzcZ3d89wq3MtWVSE/bC6IP/vF5VqC1qcaFTEmU3cvr4/xRNqaK9y7jHyl6XIkPS1rYmupoxLDWF+W6+swMKF7eVPf3d/8m+5foD+sM3TOHJO2OEr3R5U+bYyqY6ktiCddo0Te++LprQ0VTjY34ni1G9LeF00Mn2Zmq1lqf47Kn9f57vGMl/f5hR9wuie69P+tZG3tTbR7vn/uy6J6580b90D2+YKkTsu+fXDQuobL+vT72GBArz+Evy93cVUXP04FNLa+IHuRS+YF3Vf36A3f2yl7lSr1nPauZqntV665xol9q1DKlanVThVa3+ij72G1d0yxqmKpy1tuBV0W3yjLgS6Lu87I0q3tNrmO9x2YcrmkqnxkDb8n+duMsC79aev6GN/KIl5/n1vKcg2qbanDJ+DzXRY//uLlAgzqmSnhZZo/sP38eLZ63rp53Eyq3ShD93utL5V7qPjrPl4eyrz71qGJ4PVOVyzN74g253436WC2wvqmiL8TmuCl6wPfs9UY1MFXZWXc3yt7Fzappi4amMv131r4lesqWhq2KNzLVzy5NomXfG9a9g6H7n+xret2Wr980untMY1NF5T/5SvZ0F9/eG5rodfLk1sl3RG/5eMvASU31ut3NxeKu6NbVIoZ3dDBV+ar3Vsie2fHhWJtmppq53rbUPdF72vyY9EN3t08OO2RfHllsZkJzUwXMtat+X3Q72wbzdilT3Qt5flz2bS1cFnu3+O85jG36QPSFpaau7NnSVJuOXr0g+4DQdUFVW5lqV8+/jomin/p2ZpNFa71uXM4RK3uNL092JuqeMCC1w0N5jt2eOfSwo6m8Rm6Lk/15Zrvji9qYam7j+h0fyfN23k7hA9ua6oTt9ljZV0V5XKzfTu+/XmltHote1jboSp72ej4uKHpR9gi7czeSdX+ypUyzJ3KdTHh1/0wHU3UtY3nyn14y37OAjqY62T6+5lO5j1s0TBnZyVSJU6fvlt1isVua6myq6Rk5yz0TffK+JV+KdTGVa8U5q2Q/NuxERpruTds9yf5c9OATzy1iuprq5VHbmbLnWJ8n14Zupip2xilN9pRCjQtO6q7X84NjBibJ81XpESU6Oun1+YXnddnXH1llZdPDVAt3DW/2Qu53dyLtfuju06X9ftmd5n6onuCs9zX70iWS5b4cZlV/V09TNV/ybL7saZ7dHLx7mWpZ1FpD9k1HfFr3dDGVt10r15dyHE463LFqbz0+LZMvyJ47LMnJwlWf3w7PsH8l1/kphfsk6n55Ri5/2aceb+N2uI9eT06s+iL7ybHT3Bf1NdWMY8X7pIieuHH/+IH9TOUYE3RW9pxtn3nV72+qnM2KWr2W7z+0sHeeAfp7jQ2YI3vvL+0WJOsesDNvkuxJ32YtPTNQj5PGS1u8Ed1l1NHAgEH6/DAz92bZv3d4EzzSTZ9zwv1/yZ4nqNxWNVjvX51K9kmV86Vrrz3Fhpjq8+y9x2WPmbDsUJru2Xe1zP9Wvs+PqLDooab6Vih5pOxFUzIi1g/T639x/0jZGzWqFzNxuN6vs7Yr+U70J+/HXuswwlSza+TxkN3dYtdta3c9r18+i5Hdceqzh991Lzk9qtR70V90KPni+khTVWt+arzsJ6c5p+4cZSoP3/ORsje1WPFh1mhT7d/ysHCa6O9exn53HqPne1Ku4bK3t7L8W2WsqQqGOJ2QPfGQymYxTq/bpQ9bGqLb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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 43ac5d38-56c2-46fa-a2d6-e12c566c33e1 1 057b9293-8565-4ad8-998b-f7b2a50eaa49 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5c1c03fa-558f-4518-bbfb-a2d6c0ac5e6a 1 f71571ba-c892-4b34-870f-d5235b415665 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects b3aa422e-c362-4f2e-b1d3-3c89403ccf64 cda437b6-b93c-42d1-bef0-8e3012936758 c224342c-801f-4459-9224-44879ddf539f 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 f5c7b38e-4599-4446-8dac-ea4341bffb71 574fe67f-71ff-4715-8a12-17491f24eb76 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 bade2dc2-5919-4723-bde3-ebdd9bc0713a 5b6f0604-d611-43ab-af67-0856d76ac3be c496ed8d-c088-49ad-b789-ec25be9f2ba1 f71571ba-c892-4b34-870f-d5235b415665 057b9293-8565-4ad8-998b-f7b2a50eaa49 de70ef17-0df8-4e32-8a5e-183c38885e43 e7b46d59-0bd1-46cc-aeba-7d27258233c5 66f513a9-e72f-4150-a663-887f521eeb51 b102c42a-7289-4b71-931b-b1642de830b9 0c798bb0-6521-4051-8591-1d492ce83833 0ec6fb34-30af-4d76-8b43-afd2c05731f6 1475230a-606a-4e52-be6b-a158b83dc0a6 168eef93-c22e-4ce4-a776-afa80004bce9 20 8c36d410-9355-4295-bda2-9b458f164ddd Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true b3aa422e-c362-4f2e-b1d3-3c89403ccf64 true Duplicate Data Duplicate Data 2963 22658 104 64 3022 22690 1 Data to duplicate 8774b7ce-e1a5-4125-9beb-fa2e3b636ca8 true Data Data false a6780e5e-2b14-4d81-a790-7d4b02c7a358 1 2965 22660 42 20 2987.5 22670 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates b9433302-4811-47ed-9a72-755d2a3bb9b8 true Number Number false 174bb911-caba-47e2-9382-8b612bd7dc09 1 2965 22680 42 20 2987.5 22690 1 1 {0} 500 Retain list order f100e17b-5264-4645-9f98-0bcf69189c8d true Order Order false 0 2965 22700 42 20 2987.5 22710 1 1 {0} true 1 Duplicated data cc6a2811-cc51-4e88-9810-d0a028d938b8 true Data Data false 0 3037 22660 28 60 3052.5 22690 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true cda437b6-b93c-42d1-bef0-8e3012936758 true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 2949 20730 116 44 3010 20752 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 9ae858ab-b5dc-4f5f-8d68-24ba948d2d04 true Forward Forward true 1 true cc6a2811-cc51-4e88-9810-d0a028d938b8 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 2951 20732 44 20 2974.5 20742 1 false Script Variable Left 508b84dd-2069-43ce-a5e0-bc7312d82de8 true Left Left true 1 true ce24876e-e2fe-44f8-bf9d-ba5699084a02 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 2951 20752 44 20 2974.5 20762 Print, Reflect and Error streams 71686122-ab34-4e3f-854e-297570dbc306 true Output Output false 0 3025 20732 38 20 3045.5 20742 Output parameter Points 0da3606f-e8e9-424b-b40d-9632eaf7af1a true Points Points false 0 3025 20752 38 20 3045.5 20762 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 true Series Series 2960 21987 101 64 3010 22019 First number in the series 01b26cd6-1fc7-4dc6-90d1-973aefd802a7 true Start Start false 0 2962 21989 33 20 2980 21999 1 1 {0} 0 Step size for each successive number 08cd3c8f-d411-4cd9-99eb-0760225effb9 true Step Step false d619ce8e-8981-4dc1-9e8a-8001e77900c1 1 2962 22009 33 20 2980 22019 1 1 {0} 1 Number of values in the series a98418a8-91ce-440c-a92c-df4e15306600 true Count Count false 174bb911-caba-47e2-9382-8b612bd7dc09 1 2962 22029 33 20 2980 22039 1 Series of numbers a93ae73f-0686-4504-96a7-3e01e97bbf19 true Series Series false 0 3025 21989 34 60 3043.5 22019 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values f5c7b38e-4599-4446-8dac-ea4341bffb71 true Number Slider false 0 2953 22888 150 20 2953.697 22888.85 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 574fe67f-71ff-4715-8a12-17491f24eb76 true Radians Radians 2949 22229 120 28 3010 22243 Angle in degrees e5f275a9-3de0-436e-b23d-d175af4a615c true Degrees Degrees false 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 1 2951 22231 44 24 2974.5 22243 Angle in radians 24008995-0884-48c0-b4d6-45d04b80ced0 true Radians Radians false 0 3025 22231 42 24 3047.5 22243 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 2887 22593 251 20 2887.837 22593.75 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true c496ed8d-c088-49ad-b789-ec25be9f2ba1 true Interpolate (t) Interpolate (t) 2935 19965 144 84 3021 20007 1 Interpolation points eddf4b56-3dda-4284-ac4c-65e579f34f77 true Vertices Vertices false 57f0799b-c461-420d-9597-c2d5f7fd5022 1 2937 19967 69 20 2973 19977 Tangent at start of curve 2bc72dfe-3590-41ef-bc21-b51f5edfb0f2 true Tangent Start Tangent Start false 0 2937 19987 69 20 2973 19997 1 1 {0} 0.0625 0 0 Tangent at end of curve c2f8297e-0bc7-4411-904b-ba2c9525f7d8 true Tangent End Tangent End false 0 2937 20007 69 20 2973 20017 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 6a697279-befd-4772-a215-35085422b2eb true KnotStyle KnotStyle false 0 2937 20027 69 20 2973 20037 1 1 {0} 2 Resulting nurbs curve 4057c060-2b5d-4a2e-a040-65cb746604a2 true Curve Curve false 0 3036 19967 41 26 3058 19980.33 Curve length dcc8e44c-96ed-4a3f-ba4f-7e82ac4a334a true Length Length false 0 3036 19993 41 27 3058 20007 Curve domain b786e946-2d5e-4316-86df-409b89ad5be7 true Domain Domain false 0 3036 20020 41 27 3058 20033.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects b3aa422e-c362-4f2e-b1d3-3c89403ccf64 cda437b6-b93c-42d1-bef0-8e3012936758 c224342c-801f-4459-9224-44879ddf539f 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 f5c7b38e-4599-4446-8dac-ea4341bffb71 574fe67f-71ff-4715-8a12-17491f24eb76 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 bade2dc2-5919-4723-bde3-ebdd9bc0713a 586e6fc0-8ddd-4ee9-b107-8d23319269a4 1b9ca219-a0ff-454d-a6d6-f560bce27a62 bec3286d-af12-4a18-99aa-78e93c87da10 3f8ed296-31ab-4200-9f35-a4baa7e1060d 4a55cc4c-18d1-4cdb-bcfd-c00c4c7438d3 93ff246b-28e0-41db-9a25-0de40ecb9d2f 48d5ff4b-8301-46c0-b3f0-66a81897604e c6c4d32d-3b3a-489c-bb54-cc0b46c307c4 16 5b6f0604-d611-43ab-af67-0856d76ac3be Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 704efda2-f8e4-4bc0-b678-cc00abc69450 true Evaluate Length Evaluate Length 2935 19797 144 64 3009 19829 Curve to evaluate 9aa87a62-76fc-4dbf-9d00-bc7349979c2d true Curve Curve false 4057c060-2b5d-4a2e-a040-65cb746604a2 1 2937 19799 57 20 2967 19809 Length factor for curve evaluation 2037313d-fe7e-4663-86ef-ae10a43ba893 true Length Length false 0 2937 19819 57 20 2967 19829 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) d1a452c6-1d68-4f1d-b5fa-61a94be35bae true Normalized Normalized false 0 2937 19839 57 20 2967 19849 1 1 {0} true Point at the specified length d880bc64-38d7-413d-9d25-76974b3ae82a true Point Point false 0 3024 19799 53 20 3052 19809 Tangent vector at the specified length db0923f3-c5d8-4ec6-9df6-4fe0c285d051 true Tangent Tangent false 0 3024 19819 53 20 3052 19829 Curve parameter at the specified length e114d922-d3a2-4635-89a2-9fe1190b7c43 true Parameter Parameter false 0 3024 19839 53 20 3052 19849 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 318cd1cf-1ac0-4b5a-8068-d487fd99f8c6 true Mirror Mirror 2938 19735 138 44 3006 19757 Base geometry 99411a44-9673-4688-afa7-065a0d54ee52 true Geometry Geometry true 4057c060-2b5d-4a2e-a040-65cb746604a2 1 2940 19737 51 20 2967 19747 Mirror plane dbe215d1-6837-4e0a-9d81-5b0987756dcc true Plane Plane false 987f4116-c443-46cf-8c32-3e2d4082db60 1 2940 19757 51 20 2967 19767 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 9ee71fee-eabb-4c01-9324-9acdaea4f5bc true Geometry Geometry false 0 3021 19737 53 20 3049 19747 Transformation data aa36bbf2-4f39-45f1-9f58-56cb2dffcb20 true Transform Transform false 0 3021 19757 53 20 3049 19767 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true cf714a6e-ed15-4548-b434-863030ede4e0 true Line SDL Line SDL 2954 19881 106 64 3018 19913 Line start point 13c548d8-ab40-41d5-8ead-03a9fab9aef1 true Start Start false d880bc64-38d7-413d-9d25-76974b3ae82a 1 2956 19883 47 20 2981 19893 Line tangent (direction) a305711c-8af2-428a-a34a-121747b585c9 true Direction Direction false db0923f3-c5d8-4ec6-9df6-4fe0c285d051 1 2956 19903 47 20 2981 19913 1 1 {0} 0 0 1 Line length 0e78b25f-2e63-4916-8fcb-bf03df32ea1a true Length Length false 0 2956 19923 47 20 2981 19933 1 1 {0} 1 Line segment 987f4116-c443-46cf-8c32-3e2d4082db60 true Line Line false 0 3033 19883 25 60 3047 19913 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 2499fa70-461f-479b-8b56-ad4993db7908 true Join Curves Join Curves 2948 19673 118 44 3011 19695 1 Curves to join 844a8a70-5f5a-480e-93bb-bac9b984096d true Curves Curves false 4057c060-2b5d-4a2e-a040-65cb746604a2 9ee71fee-eabb-4c01-9324-9acdaea4f5bc 2 2950 19675 46 20 2974.5 19685 Preserve direction of input curves 40cf51f3-98bf-4fc6-9200-8540e8a3d92e true Preserve Preserve false 0 2950 19695 46 20 2974.5 19705 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 61b9705a-3f7c-4316-baa3-1a8aae5849f5 true Curves Curves false 0 3026 19675 38 40 3046.5 19695 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true cccade3e-3e98-4637-aaa4-80019f5bd038 true Evaluate Length Evaluate Length 2935 19589 144 64 3009 19621 Curve to evaluate 46e56da7-1a6e-467d-b642-52465c709b5f true Curve Curve false 61b9705a-3f7c-4316-baa3-1a8aae5849f5 1 2937 19591 57 20 2967 19601 Length factor for curve evaluation 5fa78312-2440-436a-a076-67c05ea6c000 true Length Length false 0 2937 19611 57 20 2967 19621 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) ad033806-4bce-405b-87f7-566945884a74 true Normalized Normalized false 0 2937 19631 57 20 2967 19641 1 1 {0} true Point at the specified length 8a060934-75bb-4d51-aeb9-36c84b2731de true Point Point false 0 3024 19591 53 20 3052 19601 Tangent vector at the specified length c2791d22-0cff-42d8-9c28-0bf471d7acea true Tangent Tangent false 0 3024 19611 53 20 3052 19621 Curve parameter at the specified length fa0f3b17-cee9-42bf-a8c8-7ec464062731 true Parameter Parameter false 0 3024 19631 53 20 3052 19641 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 8a57c746-396b-44ab-89cc-7a678067bda5 true Rotate Rotate 2938 19506 138 64 3006 19538 Base geometry a028f1ef-cf43-45df-acf4-4a2a4d97f744 true Geometry Geometry true 61b9705a-3f7c-4316-baa3-1a8aae5849f5 1 2940 19508 51 20 2967 19518 Rotation angle in radians 66ff8808-0356-4f97-8b08-e04e0d6e820f true Angle Angle false 0 false 2940 19528 51 20 2967 19538 1 1 {0} 3.1415926535897931 Rotation plane 88cd5b3b-a665-4937-815e-0d4e6b63cf3d true Plane Plane false 8a060934-75bb-4d51-aeb9-36c84b2731de 1 2940 19548 51 20 2967 19558 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry 3e104311-a7fe-4090-b1ce-61e3e6aac39e true Geometry Geometry false 0 3021 19508 53 30 3049 19523 Transformation data b3021552-5159-4a70-9578-69b8dd8c1a4a true Transform Transform false 0 3021 19538 53 30 3049 19553 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 364f5e5b-ed41-41e8-8181-5a64c1e08977 true Join Curves Join Curves 2948 19443 118 44 3011 19465 1 Curves to join 319b601c-b779-4b2f-98ab-b5e42d69b0d4 true Curves Curves false 61b9705a-3f7c-4316-baa3-1a8aae5849f5 3e104311-a7fe-4090-b1ce-61e3e6aac39e 2 2950 19445 46 20 2974.5 19455 Preserve direction of input curves e35fd497-bebf-4ffa-a7f2-241a045f602b true Preserve Preserve false 0 2950 19465 46 20 2974.5 19475 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 9d28ddd1-1658-4a5f-95df-0eaad23ae026 true Curves Curves false 0 3026 19445 38 40 3046.5 19465 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c496ed8d-c088-49ad-b789-ec25be9f2ba1 704efda2-f8e4-4bc0-b678-cc00abc69450 318cd1cf-1ac0-4b5a-8068-d487fd99f8c6 cf714a6e-ed15-4548-b434-863030ede4e0 2499fa70-461f-479b-8b56-ad4993db7908 cccade3e-3e98-4637-aaa4-80019f5bd038 8a57c746-396b-44ab-89cc-7a678067bda5 364f5e5b-ed41-41e8-8181-5a64c1e08977 4c590110-8cd2-40ad-bad5-7b4469a3e74b 49e97076-47e9-42b3-94bb-22be4cbce56d 82207b9e-ead4-4815-878a-17418dfbdd67 57f0799b-c461-420d-9597-c2d5f7fd5022 84df36e3-f442-4145-bdae-23bfd4a52f79 049dd7c6-38d9-418a-9ba6-928754ae8d1e 620f22e7-a506-41a5-9b65-8bfbd9795fb9 15 5c1c03fa-558f-4518-bbfb-a2d6c0ac5e6a Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b17ebcf6-affa-4588-a133-4cb8786d7e19 true Panel false 0 7921a184-12d7-40fd-9711-9245da6e5067 1 Double click to edit panel content… 2941 22080 145 20 0 0 0 2941.366 22080.26 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 4c590110-8cd2-40ad-bad5-7b4469a3e74b true Curve Curve false 9d28ddd1-1658-4a5f-95df-0eaad23ae026 1 2989 19407 50 24 3014.946 19419.82 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 4c590110-8cd2-40ad-bad5-7b4469a3e74b 1 b739da44-a41c-46cb-81a6-fad678645491 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1b9ca219-a0ff-454d-a6d6-f560bce27a62 true Panel false 0 0 0.35721403168191375/4/4 2795 22316 439 20 0 0 0 2795.927 22316.94 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 7800477e-1d37-480e-aba9-a1193e61cf8c true Evaluate Length Evaluate Length 2935 19317 144 64 3009 19349 Curve to evaluate 141416a6-b721-4aef-a2e3-b0146546b0b5 true Curve Curve false 9d28ddd1-1658-4a5f-95df-0eaad23ae026 1 2937 19319 57 20 2967 19329 Length factor for curve evaluation 6327b436-e0cb-4c5a-b798-43e55a32c1a2 true Length Length false 0 2937 19339 57 20 2967 19349 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 9f34607c-188d-4758-9808-3b208f60b372 true Normalized Normalized false 0 2937 19359 57 20 2967 19369 1 1 {0} true Point at the specified length e513d9c0-bbdb-4b65-b0f9-8a5fc880f7d0 true Point Point false 0 3024 19319 53 20 3052 19329 Tangent vector at the specified length 82639f4c-d46b-47a3-b9d1-cfbd7f16af04 true Tangent Tangent false 0 3024 19339 53 20 3052 19349 Curve parameter at the specified length a73bdfc7-c389-4f65-903f-e01b47b3a4f5 true Parameter Parameter false 0 3024 19359 53 20 3052 19369 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true ea6bbb6d-3db9-405a-bcc8-0efe6ff2247b true Expression Expression 2910 19095 194 28 3010 19109 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable c73d1da7-2872-4a8f-912a-a13dde72e057 true Variable O O true 2182d553-d440-43c8-a668-25e4e79e913b 1 2912 19097 14 24 2920.5 19109 Result of expression 4e260858-464a-4ab4-b551-8904dd7f0048 true Result false 0 3093 19097 9 24 3099 19109 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 358ac38f-9d6b-424a-ad12-df92ae478f93 true Deconstruct Deconstruct 2941 19229 132 64 2988 19261 Input point 731b1aad-bb80-4e48-bed3-235140fdb3e6 true Point Point false e513d9c0-bbdb-4b65-b0f9-8a5fc880f7d0 1 2943 19231 30 60 2959.5 19261 Point {x} component 2182d553-d440-43c8-a668-25e4e79e913b true X component X component false 0 3003 19231 68 20 3038.5 19241 Point {y} component 55b8b94b-2800-4efd-bfc5-71c17213ab4e true Y component Y component false 0 3003 19251 68 20 3038.5 19261 Point {z} component 57a7830b-1f16-4bfb-9084-4410e4813cd4 true Z component Z component false 0 3003 19271 68 20 3038.5 19281 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 true Panel false 0 4e260858-464a-4ab4-b551-8904dd7f0048 1 Double click to edit panel content… 2933 19073 160 20 0 0 0 2933.718 19073.4 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true c00374a9-f84c-42f1-8b1e-ac4e020591c6 true Expression Expression 2910 19009 194 28 3010 19023 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e5cc2820-ca7d-45a6-b5c9-2223347a25ef true Variable O O true 55b8b94b-2800-4efd-bfc5-71c17213ab4e 1 2912 19011 14 24 2920.5 19023 Result of expression 752fbb44-e28e-4f0a-ada7-744cd24cbcb6 true Result false 0 3093 19011 9 24 3099 19023 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3ddf25ea-80bc-417e-82b8-a0703967cef9 true Panel false 0 752fbb44-e28e-4f0a-ada7-744cd24cbcb6 1 Double click to edit panel content… 2933 18984 160 20 0 0 0 2933.718 18984.97 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 9ee13f26-621a-4b0d-bea0-48c30bddfa77 true Division Division 2966 18907 82 44 2997 18929 Item to divide (dividend) bcd65c31-9194-4a6e-8a6a-598ae81fc66d true A A false 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 1 2968 18909 14 20 2976.5 18919 Item to divide with (divisor) ccd5bfcb-8c45-4a34-92db-f1364b781317 true B B false 3ddf25ea-80bc-417e-82b8-a0703967cef9 1 2968 18929 14 20 2976.5 18939 The result of the Division e475034f-ea3b-4607-8197-55baffcb48f9 true Result Result false 0 3012 18909 34 40 3030.5 18929 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 423701a7-4f0f-4b22-9304-758f7fd9f28e true Panel false 0 7921a184-12d7-40fd-9711-9245da6e5067 1 Double click to edit panel content… 2933 18837 160 20 0 0 0 2933.956 18837.46 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d6a382b9-baf6-4d56-ab80-3e464f766497 true Expression Expression 2910 18860 194 28 3010 18874 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable effae4db-eb36-4b20-8840-0015529f405b true Variable O O true e475034f-ea3b-4607-8197-55baffcb48f9 1 2912 18862 14 24 2920.5 18874 Result of expression dc97c662-4675-47d7-b039-00e74939e276 true Result false 0 3093 18862 9 24 3099 18874 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7921a184-12d7-40fd-9711-9245da6e5067 true Relay false dc97c662-4675-47d7-b039-00e74939e276 1 2987 18785 40 16 3007 18793 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true a6a8d90f-9c19-4acd-9074-c068e4a57ec2 true Addition Addition 2966 18722 82 44 2997 18744 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 5b4e12c8-e7ce-4f9e-8b72-4a0e08357083 true A A true 3ddf25ea-80bc-417e-82b8-a0703967cef9 1 2968 18724 14 20 2976.5 18734 Second item for addition a1afa5cf-defc-4950-b13e-c95c1b7a21e3 true B B true 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 1 2968 18744 14 20 2976.5 18754 Result of addition 5ac33d9f-fc1f-4b0d-a95f-8986745ec1ad true Result Result false 0 3012 18724 34 40 3030.5 18744 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 3f24efee-8a0e-43a8-ad3d-b3df67ffb742 true Division Division 2966 18572 82 44 2997 18594 Item to divide (dividend) 88cf22f4-dacc-44ba-812b-aea1e44040ae true A A false c3c83424-c461-49c9-84d5-33b90eecd891 1 2968 18574 14 20 2976.5 18584 Item to divide with (divisor) eaa76c8a-a383-4bef-b7ee-87d421b60265 true B B false 0 2968 18594 14 20 2976.5 18604 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division d5f2f7ce-0d29-4225-9032-6452b60a4dee true Result Result false 0 3012 18574 34 40 3030.5 18594 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true f12e086b-1939-469f-9138-3bceb2ef7e19 true Expression Expression 2910 18524 194 28 3010 18538 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e3c77d79-f32b-407b-b777-220f35335397 true Variable O O true d5f2f7ce-0d29-4225-9032-6452b60a4dee 1 2912 18526 14 24 2920.5 18538 Result of expression f1bd89b8-eb21-4492-bb9d-1395442f4fab true Result false 0 3093 18526 9 24 3099 18538 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values af239c1d-f168-4f3a-b655-86c6944aecdf true Panel false 0 f1bd89b8-eb21-4492-bb9d-1395442f4fab 1 Double click to edit panel content… 2933 18501 160 20 0 0 0 2933.718 18501.32 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c3c83424-c461-49c9-84d5-33b90eecd891 true Panel false 0 0f7cfb7b-cd98-4245-881c-a772900d37d5 1 Double click to edit panel content… 2933 18653 160 20 0 0 0 2933.718 18653.23 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3d6bff94-3dcf-468c-ab7a-88eb4d735259 true Expression Expression 2910 18675 194 28 3010 18689 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 8391baa9-5380-4698-9590-bd569935fe7c true Variable O O true 5ac33d9f-fc1f-4b0d-a95f-8986745ec1ad 1 2912 18677 14 24 2920.5 18689 Result of expression 0f7cfb7b-cd98-4245-881c-a772900d37d5 true Result false 0 3093 18677 9 24 3099 18689 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 480817fe-986c-4186-8058-a77069fb10b1 true Scale Scale 2930 18401 154 64 3014 18433 Base geometry a83d2e11-3831-4a92-bca7-2c450f18f7f7 true Geometry Geometry true 4c590110-8cd2-40ad-bad5-7b4469a3e74b 1 2932 18403 67 20 2975 18413 Center of scaling bb3c64f6-409f-4efd-80e8-551a6f4de83d true Center Center false 0 2932 18423 67 20 2975 18433 1 1 {0} 0 0 0 Scaling factor d8668115-f2c6-41f9-881c-12a4a058838d 1/X true Factor Factor false af239c1d-f168-4f3a-b655-86c6944aecdf 1 2932 18443 67 20 2975 18453 1 1 {0} 0.5 Scaled geometry 0b4365f6-06f0-4383-91e4-0b0895b1b9a2 true Geometry Geometry false 0 3029 18403 53 30 3057 18418 Transformation data c7796223-bda6-47e5-81b1-ccd7d538b9bf true Transform Transform false 0 3029 18433 53 30 3057 18448 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 42c15cbd-a73d-4764-821c-1e992d0e0f27 true Curve Curve false 0b4365f6-06f0-4383-91e4-0b0895b1b9a2 1 2987 17806 50 24 3012.696 17818.82 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true af94bc05-d9dd-48b3-97ef-80f93e8b6b46 true Expression Expression 2910 19182 194 28 3010 19196 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 9b121662-9092-4892-a1b3-e29def25fdc6 true Variable O O true 57a7830b-1f16-4bfb-9084-4410e4813cd4 1 2912 19184 14 24 2920.5 19196 Result of expression 2b2a4cd9-03cd-467f-bfa5-eb69f14cce20 true Result false 0 3093 19184 9 24 3099 19196 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 80dd7959-2379-4209-9410-4c269e87cd92 true Panel false 0 2b2a4cd9-03cd-467f-bfa5-eb69f14cce20 1 Double click to edit panel content… 2934 19159 160 20 0 0 0 2934.587 19159.17 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 93219771-1c76-49bb-ad4c-5f15da0bf464 true Evaluate Length Evaluate Length 2935 18191 144 64 3009 18223 Curve to evaluate 8b421b0f-a28f-4ea1-98e9-3c9261f9430f true Curve Curve false 0b4365f6-06f0-4383-91e4-0b0895b1b9a2 1 2937 18193 57 20 2967 18203 Length factor for curve evaluation d54c5d17-20cb-426f-8dd2-b03203227af8 true Length Length false 0 2937 18213 57 20 2967 18223 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 681e4df5-920c-417c-9f2a-9683169343f7 true Normalized Normalized false 0 2937 18233 57 20 2967 18243 1 1 {0} true Point at the specified length 9f796daf-039e-467d-9fb5-9e5fa9eae965 true Point Point false 0 3024 18193 53 20 3052 18203 Tangent vector at the specified length e6009b60-b726-4257-bf31-e9ab2e079175 true Tangent Tangent false 0 3024 18213 53 20 3052 18223 Curve parameter at the specified length 05ad9317-302e-45b7-ac3e-e992bc303c41 true Parameter Parameter false 0 3024 18233 53 20 3052 18243 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0627c16c-3122-4959-bd5d-5ee26688bbc2 true Expression Expression 2910 17974 194 28 3010 17988 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable c097b315-1505-4c30-82d9-71e264b6c976 true Variable O O true 2908c21f-c4de-417a-b8ce-a264e2bdcf87 1 2912 17976 14 24 2920.5 17988 Result of expression 6915573a-1d91-45df-a8f2-041107ce239c true Result false 0 3093 17976 9 24 3099 17988 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 369a09ad-1f6b-437c-8eee-98db33efecd1 true Deconstruct Deconstruct 2941 18108 132 64 2988 18140 Input point 9a77e0ca-42f7-490d-bfc9-1ef8b6a3a29b true Point Point false 9f796daf-039e-467d-9fb5-9e5fa9eae965 1 2943 18110 30 60 2959.5 18140 Point {x} component 2908c21f-c4de-417a-b8ce-a264e2bdcf87 true X component X component false 0 3003 18110 68 20 3038.5 18120 Point {y} component 3467649a-b248-4c01-89e9-bb35b330b1a7 true Y component Y component false 0 3003 18130 68 20 3038.5 18140 Point {z} component 36fd5590-4142-49d3-a6e0-38bf0e13957a true Z component Z component false 0 3003 18150 68 20 3038.5 18160 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7b3ac5e4-7d3e-411f-ab06-ecedd15cccf6 true Panel false 0 6915573a-1d91-45df-a8f2-041107ce239c 1 Double click to edit panel content… 2933 17946 160 20 0 0 0 2933.968 17946.75 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true f6012b3c-e64c-4ea6-9243-00c5921ebd97 true Expression Expression 2910 17888 194 28 3010 17902 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 269096ad-667f-44c5-8e1f-569f2c60f1c3 true Variable O O true 3467649a-b248-4c01-89e9-bb35b330b1a7 1 2912 17890 14 24 2920.5 17902 Result of expression cc12a092-0034-49f3-9db4-37f7927811d8 true Result false 0 3093 17890 9 24 3099 17902 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7e6986d8-68a3-447c-b3e6-fe47e0a1edef true Panel false 0 cc12a092-0034-49f3-9db4-37f7927811d8 1 Double click to edit panel content… 2933 17861 160 20 0 0 0 2933.977 17861.12 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 77e51a7d-28dd-4808-a424-f91d4b5f2c67 true Expression Expression 2910 18060 194 28 3010 18074 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 990c124f-1def-4414-9e8c-5345f592aaf5 true Variable O O true 36fd5590-4142-49d3-a6e0-38bf0e13957a 1 2912 18062 14 24 2920.5 18074 Result of expression bce8bd99-8675-4a6c-accf-b9295f09c088 true Result false 0 3093 18062 9 24 3099 18074 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values fdf97c38-5951-4b6e-8bf2-a6426505aae1 true Panel false 0 bce8bd99-8675-4a6c-accf-b9295f09c088 1 Double click to edit panel content… 2933 18032 160 20 0 0 0 2933.718 18032.96 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values bec3286d-af12-4a18-99aa-78e93c87da10 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 2825 22387 379 104 0 0 0 2825.376 22387.41 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1475230a-606a-4e52-be6b-a158b83dc0a6 true Panel false 0 b0bd8f2d-9278-4244-8d90-3720a99f566b 1 Double click to edit panel content… 2845 20396 337 276 0 0 0 2845.907 20396.74 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 168eef93-c22e-4ce4-a776-afa80004bce9 true Expression Expression 2910 20682 194 28 3010 20696 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d126cc00-ff9f-4ddf-94a1-809d717b1f85 true Variable O O true 0da3606f-e8e9-424b-b40d-9632eaf7af1a 1 2912 20684 14 24 2920.5 20696 Result of expression b0bd8f2d-9278-4244-8d90-3720a99f566b true Result false 0 3093 20684 9 24 3099 20696 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 174bb911-caba-47e2-9382-8b612bd7dc09 true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 3003 22847 50 24 3028.748 22859.14 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true de70ef17-0df8-4e32-8a5e-183c38885e43 true Curve Graph Mapper Curve Graph Mapper 2838 20964 160 224 2906 21076 1 One or multiple graph curves to graph map values with 952368ff-63db-4b6b-bf77-47185a89071f true Curves Curves false 0c9f5125-8b29-4eb0-a9b2-af2775c85491 1 2840 20966 51 27 2867 20979.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 270fca9f-91d4-4d80-81cd-8513d3ad053c true Rectangle Rectangle false cdde36fd-f665-45f1-b7ad-bc3424d13fdf 1 2840 20993 51 28 2867 21007.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 2fce7b6d-c52e-440e-a6bf-2616d7bd60d6 true Values Values false a93ae73f-0686-4504-96a7-3e01e97bbf19 1 2840 21021 51 27 2867 21034.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) c1221dc0-a076-4ada-8064-6a9be828ec53 true X Axis X Axis true 0 2840 21048 51 28 2867 21062.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 205b7edb-a4b0-4bd5-b8c6-9faf12885d09 true Y Axis Y Axis true 0 2840 21076 51 27 2867 21089.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph bc2a4497-d732-4a9d-af6e-60ab7e7de1ad true Flip Flip false 0 2840 21103 51 28 2867 21117.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 05196f6b-fb98-439e-b2c4-fe8e330ab6df true Snap Snap false 0 2840 21131 51 27 2867 21144.75 1 1 {0} true Size of the graph labels cd210256-106e-49b1-b487-5f831d2b6e23 true Text Size Text Size false 0 2840 21158 51 28 2867 21172.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 2239fee1-5b43-4790-aff8-c37f13433ac9 true Mapped Mapped false 0 2921 20966 75 20 2960 20976 1 The graph curves inside the boundary of the graph 13e18167-8ca0-4335-84c8-5fa02b1852ac true Graph Curves Graph Curves false 0 2921 20986 75 20 2960 20996 1 The points on the graph curves where the X Axis input values intersected true f76fc9ff-a44d-4a8b-8085-919384d75ff0 true Graph Points Graph Points false 0 2921 21006 75 20 2960 21016 1 The lines from the X Axis input values to the graph curves true 83f0efd4-5908-4cdf-8bcc-26272227fa73 true Value Lines Value Lines false 0 2921 21026 75 20 2960 21036 1 The points plotted on the X Axis which represent the input values true 08acaf2e-3597-4682-93bc-ea6c7debd4a2 true Value Points Value Points false 0 2921 21046 75 20 2960 21056 1 The lines from the graph curves to the Y Axis graph mapped values true f592770e-efdb-417a-8621-e034e074d187 true Mapped Lines Mapped Lines false 0 2921 21066 75 20 2960 21076 1 The points mapped on the Y Axis which represent the graph mapped values true 91c64238-6095-4430-9437-2d02a573651d true Mapped Points Mapped Points false 0 2921 21086 75 20 2960 21096 The graph boundary background as a surface c3a04758-4d94-4634-a580-71f7bc94596c true Boundary Boundary false 0 2921 21106 75 20 2960 21116 1 The graph labels as curve outlines a6d1245f-2e42-4312-9071-2c582d290612 true Labels Labels false 0 2921 21126 75 20 2960 21136 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds bfceb5b8-559e-47c4-8ba8-bf9445bd86c3 true Out Of Bounds Out Of Bounds false 0 2921 21146 75 20 2960 21156 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 544862d9-f3b5-4b56-8e13-c61695d12d90 true Intersected Intersected false 0 2921 21166 75 20 2960 21176 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true e7b46d59-0bd1-46cc-aeba-7d27258233c5 true End Points End Points 2959 21389 96 44 3009 21411 Curve to evaluate 67281c70-2be8-4324-8f3d-c5d1087b22cd true Curve Curve false 0c9f5125-8b29-4eb0-a9b2-af2775c85491 1 2961 21391 33 40 2979 21411 Curve start point 0394e597-30a8-435c-b63b-e47af57f3096 true Start Start false 0 3024 21391 29 20 3040 21401 Curve end point e6f25ff5-5ab9-4731-9acc-5223a00d2d7b true End End false 0 3024 21411 29 20 3040 21421 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 66f513a9-e72f-4150-a663-887f521eeb51 true Rectangle 2Pt Rectangle 2Pt 2949 21261 126 84 3007 21303 Rectangle base plane 23bd9751-2de1-4670-bfe3-b09c43aa3cf7 true Plane Plane false 0 2951 21263 41 20 2973 21273 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 0eb544a2-2212-41a5-9449-1cabdbb4bd7a true Point A Point A false 0394e597-30a8-435c-b63b-e47af57f3096 1 2951 21283 41 20 2973 21293 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 9df1d5c9-af2c-4bd4-abd4-7b27626095f8 true Point B Point B false e6f25ff5-5ab9-4731-9acc-5223a00d2d7b 1 2951 21303 41 20 2973 21313 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 0e7e3490-682b-4248-a568-047cef714c12 true Radius Radius false 0 2951 21323 41 20 2973 21333 1 1 {0} 0 Rectangle defined by P, A and B cdde36fd-f665-45f1-b7ad-bc3424d13fdf true Rectangle Rectangle false 0 3022 21263 51 40 3049 21283 Length of rectangle curve 5fe18674-4e73-467f-8e83-b7db3b4f0d69 true Length Length false 0 3022 21303 51 40 3049 21323 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true b102c42a-7289-4b71-931b-b1642de830b9 true GraphMapper+ GraphMapper+ false 2998 21084 126 104 3065 21136 External curve as a graph 9690190c-b0a1-42b2-a022-0cc31adab0bc true Curve Curve false 0c9f5125-8b29-4eb0-a9b2-af2775c85491 1 3000 21086 50 20 3026.5 21096 Optional Rectangle boundary. If omitted the curve's would be landed 618106b9-ed69-4cf7-aa3c-99353c5fc703 true Boundary Boundary true cdde36fd-f665-45f1-b7ad-bc3424d13fdf 1 3000 21106 50 20 3026.5 21116 1 List of input numbers e71bdd8f-4456-47a3-9e5e-d585ab11076a true Numbers Numbers false a93ae73f-0686-4504-96a7-3e01e97bbf19 1 3000 21126 50 20 3026.5 21136 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 8ba1ee43-0aa7-4ef9-b754-f03b1378d319 true Input Input true 6bd7e3fb-0023-4354-a5a5-1a743d528e75 1 3000 21146 50 20 3026.5 21156 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 770f829f-3345-4e55-839f-e17cda1d8b4e true Output Output true 6bd7e3fb-0023-4354-a5a5-1a743d528e75 1 3000 21166 50 20 3026.5 21176 1 Output Numbers 514f261b-6618-4813-898a-47961f234d92 true Number Number false 0 3080 21086 42 100 3102.5 21136 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 0c798bb0-6521-4051-8591-1d492ce83833 true Stream Filter Stream Filter 2973 20881 89 64 3018 20913 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 4e587f82-acda-43fa-a488-a3a3b82b405b true Gate Gate false 3ae0a9ca-46aa-4bac-8ff4-c39cfa9c4f33 1 2975 20883 28 20 2990.5 20893 1 1 {0} 0 2 Input stream at index 0 9805940f-43e0-4d74-934d-9be7c26667d3 true false Stream 0 0 true 2239fee1-5b43-4790-aff8-c37f13433ac9 1 2975 20903 28 20 2990.5 20913 2 Input stream at index 1 5b015aac-7e38-4b65-8423-2b8972668d5b true false Stream 1 1 true 514f261b-6618-4813-898a-47961f234d92 1 2975 20923 28 20 2990.5 20933 2 Filtered stream ce24876e-e2fe-44f8-bf9d-ba5699084a02 true false Stream S(1) false 0 3033 20883 27 60 3048 20913 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 0ec6fb34-30af-4d76-8b43-afd2c05731f6 true Number Slider false 0 2950 20801 150 20 2950.337 20801.34 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3f8ed296-31ab-4200-9f35-a4baa7e1060d true Panel false 1 9aeeff2d-ec5e-4a40-bda8-fa5e35e2a8f0 1 Double click to edit panel content… 2924 21583 185 271 0 0 0 2924.407 21583.61 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 586e6fc0-8ddd-4ee9-b107-8d23319269a4 true Bounds Bounds 2948 21528 122 28 3012 21542 1 Numbers to include in Bounds 2fed1945-4af3-48dd-94fc-2e1504aac266 true Numbers Numbers false a93ae73f-0686-4504-96a7-3e01e97bbf19 1 2950 21530 47 24 2975 21542 Numeric Domain between the lowest and highest numbers in {N} 6bd7e3fb-0023-4354-a5a5-1a743d528e75 true Domain Domain false 0 3027 21530 41 24 3049 21542 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 4a55cc4c-18d1-4cdb-bcfd-c00c4c7438d3 true Expression Expression 2910 21942 194 28 3010 21956 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable bbe2fe48-a916-4dec-9784-20d2a65a5fcb true Variable O O true a93ae73f-0686-4504-96a7-3e01e97bbf19 1 2912 21944 14 24 2920.5 21956 Result of expression 9aeeff2d-ec5e-4a40-bda8-fa5e35e2a8f0 true Result false 0 3093 21944 9 24 3099 21956 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 6eaeacef-ba51-4547-8e87-7709428d14fc true Expression Expression 2824 22174 367 28 3010 22188 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 04dd9f5c-3037-4dff-a45e-2fccd51dae01 true Variable O O true 24008995-0884-48c0-b4d6-45d04b80ced0 1 2826 22176 14 24 2834.5 22188 Result of expression 58aad056-c1da-4a75-af65-bb65d045f59a true Result false 0 3180 22176 9 24 3186 22188 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d619ce8e-8981-4dc1-9e8a-8001e77900c1 true Panel false 0 58aad056-c1da-4a75-af65-bb65d045f59a 1 Double click to edit panel content… 2924 22120 179 20 0 0 0 2924.546 22120.48 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 42c15cbd-a73d-4764-821c-1e992d0e0f27 1 fad5d6d1-c263-4c2e-8431-e4c7e882d53c Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 6d76c8be-dfbc-4f36-9993-40d0efb27bb7 true Scale Scale 2930 18316 154 64 3014 18348 Base geometry f6bcc41f-a6ba-4e20-adc2-b4975eb95e6c true Geometry Geometry true 57f0799b-c461-420d-9597-c2d5f7fd5022 1 2932 18318 67 20 2975 18328 Center of scaling 623703ef-e576-4148-803c-b45c47de2cb8 true Center Center false 0 2932 18338 67 20 2975 18348 1 1 {0} 0 0 0 Scaling factor e1e3f46f-b3ba-4d8b-b10c-bd5d8ec25d18 1/X true Factor Factor false af239c1d-f168-4f3a-b655-86c6944aecdf 1 2932 18358 67 20 2975 18368 1 1 {0} 0.5 Scaled geometry 0e43fd06-3ba4-4339-bd65-d80fc37ce0d6 true Geometry Geometry false 0 3029 18318 53 30 3057 18333 Transformation data d2a34327-3dc3-4e6b-b716-5d675c07727e true Transform Transform false 0 3029 18348 53 30 3057 18363 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true b23a38dc-cf75-4ba3-b10b-2f6039f11554 true Point Point false 0e43fd06-3ba4-4339-bd65-d80fc37ce0d6 1 2988 18285 50 24 3013.696 18297 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 504738e4-8406-47af-a2c7-a574221a7427 true Mirror Mirror 2935 17516 138 44 3003 17538 Base geometry c22ad9a2-5a96-44b0-92c7-bd61c819d9d1 true Geometry Geometry true 42c15cbd-a73d-4764-821c-1e992d0e0f27 1 2937 17518 51 20 2964 17528 Mirror plane 26e24988-4a8d-4048-a036-5a408985967f true Plane Plane false 0 2937 17538 51 20 2964 17548 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 7cf5d232-688b-44d2-8f6c-398fbdc473da true Geometry Geometry false 0 3018 17518 53 20 3046 17528 Transformation data e1c1a70c-e84b-4739-93c8-407c063ff7a2 true Transform Transform false 0 3018 17538 53 20 3046 17548 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 96935792-1ec1-4cd9-8dd4-9a092de6ad61 true Curve Curve false c81335a0-ddbb-498e-893f-43a31d8cd505 1 2987 17416 50 24 3012.946 17428 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 0c9f5125-8b29-4eb0-a9b2-af2775c85491 true Relay false 64f057b3-8d69-4683-a356-cc3a9ebba111 1 2987 21460 40 16 3007 21468 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true f94da2bc-d071-4b7f-ad50-a3d8e7e6df46 true Curve Curve false 270d3941-6706-46e2-8861-fe273a0f9203 1 2580 21833 50 24 2605.027 21845.58 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 64f057b3-8d69-4683-a356-cc3a9ebba111 true Curve Curve false 2037fc27-5784-4c4a-aab4-f217811a502f 1 2580 21551 50 24 2605.128 21563.91 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 12d1e858-5174-4c8d-9b86-79662978887b true Scale Scale 2522 21584 154 64 2606 21616 Base geometry 56937ea0-cb0e-47ea-8c68-08da8a6bbd6d true Geometry Geometry true f94da2bc-d071-4b7f-ad50-a3d8e7e6df46 1 2524 21586 67 20 2567 21596 Center of scaling e6569b91-5924-4b8d-ba8d-789d515075e3 true Center Center false 0 2524 21606 67 20 2567 21616 1 1 {0} 0 0 0 Scaling factor 7443f77e-93ec-466a-a46f-4d06d402715e 2^X true Factor Factor false 9b841fa1-df46-463a-8a58-7dc4660c77b4 1 2524 21626 67 20 2567 21636 1 1 {0} 1 Scaled geometry 2037fc27-5784-4c4a-aab4-f217811a502f true Geometry Geometry false 0 2621 21586 53 30 2649 21601 Transformation data 709f4a97-2a2e-4b92-ab9d-5f8d5a9e0da9 true Transform Transform false 0 2621 21616 53 30 2649 21631 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f94da2bc-d071-4b7f-ad50-a3d8e7e6df46 64f057b3-8d69-4683-a356-cc3a9ebba111 12d1e858-5174-4c8d-9b86-79662978887b 27899f96-8899-44d3-a06c-50d23c4c5623 cc70bbb3-8e62-43a8-89b7-a04a7c23a69a 1fbbe719-afab-43c1-8002-d88926fda48e d635009e-7496-4f0a-b419-1c3bc7ea2e82 77caac64-a7e4-49bc-87b4-46dabf90784a 446219ab-8ce4-4042-87a6-b6ea0e93f342 5d6229b2-80b9-413c-a2de-76a14008b61a 10 ac29e4de-75e7-4875-81a4-f6cdfbdeb31b Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true ed3b2feb-3bad-4598-a465-c0ff584626b2 true Move Move 2935 17452 138 44 3003 17474 Base geometry e8156acf-4650-4f02-9230-6edb7eec150f true Geometry Geometry true 42c15cbd-a73d-4764-821c-1e992d0e0f27 1 2937 17454 51 20 2964 17464 Translation vector ad29c9fb-8135-416c-99c0-8fdcf995f3f9 true Motion Motion false 73720f25-b486-4063-bf77-17ff68e76c9e 1 2937 17474 51 20 2964 17484 1 1 {0} 0 3 0 Translated geometry c81335a0-ddbb-498e-893f-43a31d8cd505 true Geometry Geometry false 0 3018 17454 53 20 3046 17464 Transformation data ecb1ed1b-9d26-478c-863d-b4c1c5c593f4 true Transform Transform false 0 3018 17474 53 20 3046 17484 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers cc70bbb3-8e62-43a8-89b7-a04a7c23a69a true Digit Scroller false 0 12 2 30.9312132004 2480 21777 250 20 2480.427 21777 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1fbbe719-afab-43c1-8002-d88926fda48e true Panel false 0 0 16.93121320041889709 2537 21676 144 20 0 0 0 2537.587 21676.62 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d635009e-7496-4f0a-b419-1c3bc7ea2e82 true Curve Curve false 0 2580 21508 50 24 2605.128 21520.91 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 77caac64-a7e4-49bc-87b4-46dabf90784a true Curve Curve false 0 2582 21965 50 24 2607.077 21977.75 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 1ada7be1-89a0-4450-87b9-20e93d1acfb8 1 56294286-d42f-4763-9849-2c890745dbc5 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f084951b-766e-437c-b35d-714be45ce7b8 1 5fbe45e5-87d0-4cad-b63f-8bb82a20ee3e Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 0a3d7a60-480c-451b-8e1d-c334c9932d8e 9a1c517e-848c-43b1-87fc-42a28832bfde c224342c-801f-4459-9224-44879ddf539f def91bd9-37fa-4802-a0b4-1ddfb4722e3f 9283d059-2d52-4d86-9362-5e2baf255c27 d5894a96-90d1-47d4-bf1e-1745cd1934d7 d9a4a6e3-c722-410c-a790-c549c6d0ae5e bade2dc2-5919-4723-bde3-ebdd9bc0713a 71112fe7-1fea-47f3-b4e9-ce6884c9ceaf e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 5fbe45e5-87d0-4cad-b63f-8bb82a20ee3e 56294286-d42f-4763-9849-2c890745dbc5 b5da1097-2a48-4cd6-a489-40cb2c221f47 07fc185b-285c-4d94-bbde-e0ed5aaf023f 53979eb6-9c9b-437c-b4e7-4b6b9a1dab95 af64ea04-5511-4bb8-816c-4ed0705490f6 4d9514a4-6cbd-4d54-af16-2f88e8f4d1d1 8d8e45b6-007c-4f16-8238-2801dae68966 3aad9ca7-1883-4a7e-8ae5-1fb4937b0b3f 3c8cf81e-1720-4651-b4bb-d6e1fd8819ee 20 ee3c2f43-73b5-472e-b7e2-0db184021600 Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 0a3d7a60-480c-451b-8e1d-c334c9932d8e true Duplicate Data Duplicate Data 4373 22659 104 64 4432 22691 1 Data to duplicate c1bcdb8b-a8de-42b8-bc97-b9013965a2b3 true Data Data false 207d9cec-a4d2-425f-8c18-c1b9a6493af2 1 4375 22661 42 20 4397.5 22671 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates f6dc3c10-a8b6-43ec-b7a4-49f7b5396cfc true Number Number false 18afda8e-f24e-4448-8fa3-5a49fbcb28ca 1 4375 22681 42 20 4397.5 22691 1 1 {0} 500 Retain list order 34747507-1a6e-45b5-b4c3-d26c4929ffa2 true Order Order false 0 4375 22701 42 20 4397.5 22711 1 1 {0} true 1 Duplicated data 97811af2-0aca-4f54-8b25-1ba9649407a5 true Data Data false 0 4447 22661 28 60 4462.5 22691 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 9a1c517e-848c-43b1-87fc-42a28832bfde true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 4359 20731 116 44 4420 20753 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 347a5f6d-80d3-4e82-87b3-db3f0ff054cb true Forward Forward true 1 true 97811af2-0aca-4f54-8b25-1ba9649407a5 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 4361 20733 44 20 4384.5 20743 1 false Script Variable Left bdf83768-9d65-4c4f-ac4e-ca87d3d0f4ce true Left Left true 1 true 1c8ee915-ea01-475d-abde-9b8ca4ca0fea 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 4361 20753 44 20 4384.5 20763 Print, Reflect and Error streams 8f55da05-d245-4a81-a63b-5cc4a12e6ea6 true Output Output false 0 4435 20733 38 20 4455.5 20743 Output parameter Points 51d8b6ea-0964-4fcf-99d0-55c92d4e3230 true Points Points false 0 4435 20753 38 20 4455.5 20763 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true def91bd9-37fa-4802-a0b4-1ddfb4722e3f true Series Series 4370 21988 101 64 4420 22020 First number in the series 0f3c2dc1-bad6-429b-9a52-639d852042bd true Start Start false 0 4372 21990 33 20 4390 22000 1 1 {0} 0 Step size for each successive number 7a306ee6-211e-4c63-a562-54892d2536c5 true Step Step false 0b19f101-19e4-47e9-a4d6-7abdb0a95380 1 4372 22010 33 20 4390 22020 1 1 {0} 1 Number of values in the series 4ddb0e87-a79a-4db0-8382-2c4d2586eeb4 true Count Count false 18afda8e-f24e-4448-8fa3-5a49fbcb28ca 1 4372 22030 33 20 4390 22040 1 Series of numbers b14d6bac-1c0b-4330-b6ec-6e130a31f993 true Series Series false 0 4435 21990 34 60 4453.5 22020 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 9283d059-2d52-4d86-9362-5e2baf255c27 true Number Slider false 0 4357 22887 150 20 4357.626 22887.28 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true d5894a96-90d1-47d4-bf1e-1745cd1934d7 true Radians Radians 4366 22249 120 28 4427 22263 Angle in degrees 07e0c639-e24e-4586-bcfb-7f132ff21eee true Degrees Degrees false 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 1 4368 22251 44 24 4391.5 22263 Angle in radians 4c6f9405-70bf-4366-aebe-2bfeb9080f3d true Radians Radians false 0 4442 22251 42 24 4464.5 22263 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers d9a4a6e3-c722-410c-a790-c549c6d0ae5e true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 4297 22595 251 20 4297.837 22595.27 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 true Interpolate (t) Interpolate (t) 4345 19966 144 84 4431 20008 1 Interpolation points 38e7180b-8c8a-44b2-9e59-518e36fdaced true Vertices Vertices false 9d5c8bd8-8469-41e2-a537-e174f9e35067 1 4347 19968 69 20 4383 19978 Tangent at start of curve 70b98e12-800b-4e3b-bbd5-49bf7caa1c83 true Tangent Start Tangent Start false 0 4347 19988 69 20 4383 19998 1 1 {0} 0.0625 0 0 Tangent at end of curve b33ea881-bf00-452d-aa80-ee5f3c908ca5 true Tangent End Tangent End false 0 4347 20008 69 20 4383 20018 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) d99a5997-1b10-4cba-a065-5710f9120cd7 true KnotStyle KnotStyle false 0 4347 20028 69 20 4383 20038 1 1 {0} 2 Resulting nurbs curve 999fd7e2-51af-4c75-9bed-a576dca901c6 true Curve Curve false 0 4446 19968 41 26 4468 19981.33 Curve length 974706f3-32dd-43a9-9fe0-bdc976e1e316 true Length Length false 0 4446 19994 41 27 4468 20008 Curve domain 37aa1cd7-8c57-46f6-b234-a862c6ca063a true Domain Domain false 0 4446 20021 41 27 4468 20034.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 0a3d7a60-480c-451b-8e1d-c334c9932d8e 9a1c517e-848c-43b1-87fc-42a28832bfde c224342c-801f-4459-9224-44879ddf539f def91bd9-37fa-4802-a0b4-1ddfb4722e3f 9283d059-2d52-4d86-9362-5e2baf255c27 d5894a96-90d1-47d4-bf1e-1745cd1934d7 d9a4a6e3-c722-410c-a790-c549c6d0ae5e bade2dc2-5919-4723-bde3-ebdd9bc0713a 6fa31a4c-4d12-4c66-a161-dba69c84582b 87b2f042-29bd-4276-877e-cf779572385b a5b7a28c-c714-4e04-a20c-a1672c48d88b bd2898b9-73bb-4f3e-ad59-dd7a36b40460 40c4fee9-ed72-44e0-9487-c1b6d27ec5d7 0598e9e1-8220-4e81-af9f-441038d63c96 5627684b-fce3-4a31-aeeb-5e764ceff882 c8207dde-4bfa-4fe8-8975-fa4b4e4ada74 16 71112fe7-1fea-47f3-b4e9-ce6884c9ceaf Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 85eb4dac-c74b-4487-ab1d-eb90b550227a true Evaluate Length Evaluate Length 4345 19798 144 64 4419 19830 Curve to evaluate 6cb975b7-2be7-4b12-adc6-ee80e2a19b78 true Curve Curve false 999fd7e2-51af-4c75-9bed-a576dca901c6 1 4347 19800 57 20 4377 19810 Length factor for curve evaluation 1be9fca7-2617-4384-8091-20939534cc87 true Length Length false 0 4347 19820 57 20 4377 19830 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 19af5ffb-cd25-4608-a4c2-ca2b9b1a0389 true Normalized Normalized false 0 4347 19840 57 20 4377 19850 1 1 {0} true Point at the specified length e629d262-ea3f-4304-ac40-fc5f3ba9690e true Point Point false 0 4434 19800 53 20 4462 19810 Tangent vector at the specified length f404b052-c0c3-4baf-99d1-1724976e2a6d true Tangent Tangent false 0 4434 19820 53 20 4462 19830 Curve parameter at the specified length 49cfd836-1d5c-4f4b-aafb-3497bfe0abc1 true Parameter Parameter false 0 4434 19840 53 20 4462 19850 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true fc0a1afb-e49c-47ae-9f34-e01642b1f260 true Mirror Mirror 4348 19736 138 44 4416 19758 Base geometry 9835bdbe-e1bc-4366-a386-e744318522d4 true Geometry Geometry true 999fd7e2-51af-4c75-9bed-a576dca901c6 1 4350 19738 51 20 4377 19748 Mirror plane 570781c8-3192-44da-a80c-aa6338512118 true Plane Plane false 9b8c9bd8-b093-4ee4-b444-c101a9496e02 1 4350 19758 51 20 4377 19768 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 59f1e754-03a8-42eb-a33d-d187d51b98cc true Geometry Geometry false 0 4431 19738 53 20 4459 19748 Transformation data ea2e2479-cef6-4642-8bb2-d9c621d72819 true Transform Transform false 0 4431 19758 53 20 4459 19768 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true b290088f-51c3-499d-bcc6-651a21180fbd true Line SDL Line SDL 4364 19882 106 64 4428 19914 Line start point 49f703c9-9b23-47a4-a3ca-f43d8574a657 true Start Start false e629d262-ea3f-4304-ac40-fc5f3ba9690e 1 4366 19884 47 20 4391 19894 Line tangent (direction) 345bd603-2311-43be-bf68-8220adab479b true Direction Direction false f404b052-c0c3-4baf-99d1-1724976e2a6d 1 4366 19904 47 20 4391 19914 1 1 {0} 0 0 1 Line length 739cf427-bde4-49a8-9605-3a16991456d3 true Length Length false 0 4366 19924 47 20 4391 19934 1 1 {0} 1 Line segment 9b8c9bd8-b093-4ee4-b444-c101a9496e02 true Line Line false 0 4443 19884 25 60 4457 19914 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true f2e3277d-70ea-4bdf-b0f6-693524cbaf85 true Join Curves Join Curves 4358 19674 118 44 4421 19696 1 Curves to join 0c38b4d6-8bfc-49e9-b6f6-09dcbe618d49 true Curves Curves false 999fd7e2-51af-4c75-9bed-a576dca901c6 59f1e754-03a8-42eb-a33d-d187d51b98cc 2 4360 19676 46 20 4384.5 19686 Preserve direction of input curves 946b2f20-d666-4aa8-821d-7868b8c74ba0 true Preserve Preserve false 0 4360 19696 46 20 4384.5 19706 1 1 {0} false 1 Joined curves and individual curves that could not be joined. dde4faf6-60a2-4e1e-abf7-3dd17012994e true Curves Curves false 0 4436 19676 38 40 4456.5 19696 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 4751e2e0-6092-46cd-980b-641ed6e917ee true Evaluate Length Evaluate Length 4345 19590 144 64 4419 19622 Curve to evaluate 372750a2-aac5-4675-a32e-6a365c02c99b true Curve Curve false dde4faf6-60a2-4e1e-abf7-3dd17012994e 1 4347 19592 57 20 4377 19602 Length factor for curve evaluation 3da6d7f3-5930-4d92-b938-68fdeee2905b true Length Length false 0 4347 19612 57 20 4377 19622 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 83395691-83ae-4432-a928-794fcea824e2 true Normalized Normalized false 0 4347 19632 57 20 4377 19642 1 1 {0} true Point at the specified length 4e6c8214-fa2b-4fcb-9201-b38e47e15645 true Point Point false 0 4434 19592 53 20 4462 19602 Tangent vector at the specified length 9b6b898b-0acb-4ba1-9bbf-7e4bbababa7b true Tangent Tangent false 0 4434 19612 53 20 4462 19622 Curve parameter at the specified length d1a71204-a881-45ef-b6fc-b9dbb9cd14b0 true Parameter Parameter false 0 4434 19632 53 20 4462 19642 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true fd670389-bfb1-48e6-8095-f6f97722a9b1 true Rotate Rotate 4348 19507 138 64 4416 19539 Base geometry 215ad207-5b7b-4f27-b6b5-f92e88682ed0 true Geometry Geometry true dde4faf6-60a2-4e1e-abf7-3dd17012994e 1 4350 19509 51 20 4377 19519 Rotation angle in radians 69e2459f-cb1e-4c90-892e-0f846baa524a true Angle Angle false 0 false 4350 19529 51 20 4377 19539 1 1 {0} 3.1415926535897931 Rotation plane 25d4fea7-29a1-4b79-b46a-3f766ab20998 true Plane Plane false 4e6c8214-fa2b-4fcb-9201-b38e47e15645 1 4350 19549 51 20 4377 19559 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry 586fb019-0eda-4995-80e1-91db7f614783 true Geometry Geometry false 0 4431 19509 53 30 4459 19524 Transformation data 0773c6a2-c99f-4c5d-aa8c-bd50133c2241 true Transform Transform false 0 4431 19539 53 30 4459 19554 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 15b697dd-03e3-4b13-9e3b-1e060efec5bf true Join Curves Join Curves 4358 19444 118 44 4421 19466 1 Curves to join 65c295ee-1b46-4d0d-bab6-af50d820e4bf true Curves Curves false dde4faf6-60a2-4e1e-abf7-3dd17012994e 586fb019-0eda-4995-80e1-91db7f614783 2 4360 19446 46 20 4384.5 19456 Preserve direction of input curves 62d37571-300a-41a8-aa38-54495199b18a true Preserve Preserve false 0 4360 19466 46 20 4384.5 19476 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 586a061e-0e58-4e4d-8ab5-09851aa51eb8 true Curves Curves false 0 4436 19446 38 40 4456.5 19466 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 85eb4dac-c74b-4487-ab1d-eb90b550227a fc0a1afb-e49c-47ae-9f34-e01642b1f260 b290088f-51c3-499d-bcc6-651a21180fbd f2e3277d-70ea-4bdf-b0f6-693524cbaf85 4751e2e0-6092-46cd-980b-641ed6e917ee fd670389-bfb1-48e6-8095-f6f97722a9b1 15b697dd-03e3-4b13-9e3b-1e060efec5bf 14b8f8d0-45ef-4704-b912-0fcc8b135f3a d478f100-725b-4409-a7b6-375d5771f6d1 fe323d14-26b4-40ee-b6c3-d29c50862bda 9d5c8bd8-8469-41e2-a537-e174f9e35067 a41828e4-8b7d-4583-8576-6498debc414a 65772831-622c-45f0-8b74-27794372ba84 93600863-543e-4c15-8ca0-9aa3a4c41133 15 f084951b-766e-437c-b35d-714be45ce7b8 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6ecc5a11-8bbc-46bc-8596-6b233cd01831 true Panel false 0 e58101fd-fa11-4e34-b636-f46fa022581c 1 Double click to edit panel content… 4351 22081 145 20 0 0 0 4351.366 22081.78 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 14b8f8d0-45ef-4704-b912-0fcc8b135f3a true Curve Curve false 586a061e-0e58-4e4d-8ab5-09851aa51eb8 1 4399 19409 50 24 4424.946 19421.34 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 14b8f8d0-45ef-4704-b912-0fcc8b135f3a 1 22a118c7-1cad-4618-866c-28f67d88c518 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 87b2f042-29bd-4276-877e-cf779572385b true Panel false 0 0 0.35721403168191375/4/4 4205 22318 439 20 0 0 0 4205.927 22318.46 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true efdc0f6f-4347-4267-a362-b2066e677d13 true Evaluate Length Evaluate Length 4345 19318 144 64 4419 19350 Curve to evaluate 5941985e-81a5-4c46-a0de-55adf4a0186a true Curve Curve false 586a061e-0e58-4e4d-8ab5-09851aa51eb8 1 4347 19320 57 20 4377 19330 Length factor for curve evaluation 08da2794-9553-4af3-946c-da9c5067de76 true Length Length false 0 4347 19340 57 20 4377 19350 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 3f3939ae-2110-41e4-babc-49ba734ec842 true Normalized Normalized false 0 4347 19360 57 20 4377 19370 1 1 {0} true Point at the specified length 7f508137-51bc-436d-804f-01b08f71c261 true Point Point false 0 4434 19320 53 20 4462 19330 Tangent vector at the specified length a39396f7-2236-4aaa-8de2-64928664165b true Tangent Tangent false 0 4434 19340 53 20 4462 19350 Curve parameter at the specified length 78af0065-f39e-4d35-acf0-27b65c63c3ab true Parameter Parameter false 0 4434 19360 53 20 4462 19370 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 7791abdb-7ea1-41c5-88d3-5918db40045b true Expression Expression 4320 19096 194 28 4420 19110 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 0a4d58b6-009e-4804-8fa1-eb5b39975ed5 true Variable O O true 72839dd2-6065-4a41-ada8-6a6c226009cf 1 4322 19098 14 24 4330.5 19110 Result of expression 89cc53c7-a51f-442a-9d09-8f902e22b247 true Result false 0 4503 19098 9 24 4509 19110 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 618f3f32-a03d-4629-a735-0977fcd7d620 true Deconstruct Deconstruct 4351 19230 132 64 4398 19262 Input point 9163e150-b5e2-413f-8888-e91bd60706c3 true Point Point false 7f508137-51bc-436d-804f-01b08f71c261 1 4353 19232 30 60 4369.5 19262 Point {x} component 72839dd2-6065-4a41-ada8-6a6c226009cf true X component X component false 0 4413 19232 68 20 4448.5 19242 Point {y} component c0484107-28da-417a-856e-675f4c5b4cef true Y component Y component false 0 4413 19252 68 20 4448.5 19262 Point {z} component bcbea2b7-9150-4d7b-8760-e44d277a4231 true Z component Z component false 0 4413 19272 68 20 4448.5 19282 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c6648f71-7936-4ce9-9b78-78e1d02360d7 true Panel false 0 89cc53c7-a51f-442a-9d09-8f902e22b247 1 Double click to edit panel content… 4343 19074 160 20 0 0 0 4343.718 19074.92 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true c69dda4c-1311-4376-8f47-855cae61799b true Expression Expression 4320 19010 194 28 4420 19024 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7d96e1d9-cc7a-495f-a005-e8616f16f49e true Variable O O true c0484107-28da-417a-856e-675f4c5b4cef 1 4322 19012 14 24 4330.5 19024 Result of expression 8323ed63-598f-48fe-b695-18cdb4d332d7 true Result false 0 4503 19012 9 24 4509 19024 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2bd2f342-3868-46a8-b091-2121183f9fb7 true Panel false 0 8323ed63-598f-48fe-b695-18cdb4d332d7 1 Double click to edit panel content… 4343 18986 160 20 0 0 0 4343.718 18986.49 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 48099344-617a-4929-a66f-fec7ab3d4afb true Division Division 4376 18908 82 44 4407 18930 Item to divide (dividend) 834f7056-44e3-4c31-8146-9915598e7765 true A A false c6648f71-7936-4ce9-9b78-78e1d02360d7 1 4378 18910 14 20 4386.5 18920 Item to divide with (divisor) f5b202bc-0d98-4b04-847f-ad22fac6521e true B B false 2bd2f342-3868-46a8-b091-2121183f9fb7 1 4378 18930 14 20 4386.5 18940 The result of the Division 2198150d-8bac-45fd-aaf3-34e40c8ee272 true Result Result false 0 4422 18910 34 40 4440.5 18930 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 9f7384eb-c649-4742-a327-81feb1906785 true Panel false 0 e58101fd-fa11-4e34-b636-f46fa022581c 1 Double click to edit panel content… 4343 18838 160 20 0 0 0 4343.956 18838.98 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 2ff3e964-219b-4094-a76a-34df9b871ee9 true Expression Expression 4320 18861 194 28 4420 18875 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 16f75d72-2085-4ea1-a6b5-a73a735b9e39 true Variable O O true 2198150d-8bac-45fd-aaf3-34e40c8ee272 1 4322 18863 14 24 4330.5 18875 Result of expression e950c6ca-b4d1-4407-87ad-6749815c647d true Result false 0 4503 18863 9 24 4509 18875 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e58101fd-fa11-4e34-b636-f46fa022581c true Relay false e950c6ca-b4d1-4407-87ad-6749815c647d 1 4397 18786 40 16 4417 18794 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true ffa4f3da-c167-439e-9439-fae140c43c5a true Addition Addition 4376 18723 82 44 4407 18745 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 325f0739-034c-43a1-8353-56eaad0a0ee3 true A A true 2bd2f342-3868-46a8-b091-2121183f9fb7 1 4378 18725 14 20 4386.5 18735 Second item for addition ef45c4fb-32f8-4746-ac9d-4fa1d856bfde true B B true c6648f71-7936-4ce9-9b78-78e1d02360d7 1 4378 18745 14 20 4386.5 18755 Result of addition f2a3644f-2c54-4945-959e-c0099d935b04 true Result Result false 0 4422 18725 34 40 4440.5 18745 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 7951e322-6f89-4c62-911e-43899993d21e true Division Division 4376 18573 82 44 4407 18595 Item to divide (dividend) 503711cc-6129-4a5e-8a86-3fb4b605ea3d true A A false 61172d09-8902-4f10-b2c7-17cd51e5027a 1 4378 18575 14 20 4386.5 18585 Item to divide with (divisor) 8352ca73-bbcb-4d3f-8e10-84039c6586ee true B B false 0 4378 18595 14 20 4386.5 18605 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 2dff2c6d-6bb5-4e30-8954-cf5ddb6f8c3d true Result Result false 0 4422 18575 34 40 4440.5 18595 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3f879e60-3daa-43ef-a228-f571f145b353 true Expression Expression 4320 18525 194 28 4420 18539 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 06d03132-7d32-48b2-a272-050fe4c948d1 true Variable O O true 2dff2c6d-6bb5-4e30-8954-cf5ddb6f8c3d 1 4322 18527 14 24 4330.5 18539 Result of expression b9d22025-768f-4239-a254-21a4b342b0ab true Result false 0 4503 18527 9 24 4509 18539 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 04819f51-3ef5-4f05-a1c1-e17b9546ed74 true Panel false 0 b9d22025-768f-4239-a254-21a4b342b0ab 1 Double click to edit panel content… 4343 18502 160 20 0 0 0 4343.718 18502.84 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 61172d09-8902-4f10-b2c7-17cd51e5027a true Panel false 0 243e112c-da2b-4083-8aef-daa7ad6f181d 1 Double click to edit panel content… 4343 18654 160 20 0 0 0 4343.718 18654.75 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b5b899a1-84ac-4fa0-a768-c850b12c7691 true Expression Expression 4320 18676 194 28 4420 18690 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 0061d545-7c8d-4ed7-bb46-e911c516f81f true Variable O O true f2a3644f-2c54-4945-959e-c0099d935b04 1 4322 18678 14 24 4330.5 18690 Result of expression 243e112c-da2b-4083-8aef-daa7ad6f181d true Result false 0 4503 18678 9 24 4509 18690 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 2af7f12d-42dd-4647-b3c5-2dad5de770bc true Scale Scale 4340 18402 154 64 4424 18434 Base geometry a9ca66e0-63ab-425c-80aa-b5b95987ad22 true Geometry Geometry true 14b8f8d0-45ef-4704-b912-0fcc8b135f3a 1 4342 18404 67 20 4385 18414 Center of scaling 9fc1dae6-7308-4e22-89e6-876dfd55105c true Center Center false 0 4342 18424 67 20 4385 18434 1 1 {0} 0 0 0 Scaling factor 4b5bc2d7-e92d-48ad-a207-b2e611a6529d 1/X true Factor Factor false 04819f51-3ef5-4f05-a1c1-e17b9546ed74 1 4342 18444 67 20 4385 18454 1 1 {0} 0.5 Scaled geometry c18a9447-0b39-435b-b676-68a7105df1a8 true Geometry Geometry false 0 4439 18404 53 30 4467 18419 Transformation data 49a166a2-ccf1-4ff1-a244-10a386b65633 true Transform Transform false 0 4439 18434 53 30 4467 18449 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 true Curve Curve false c18a9447-0b39-435b-b676-68a7105df1a8 1 4397 17808 50 24 4422.696 17820.34 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 04b0d7b0-300c-4f1c-9d7e-f41a0e83a4c4 true Expression Expression 4320 19183 194 28 4420 19197 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 77883f19-fe56-4d4d-bde0-a92cc9d7de9e true Variable O O true bcbea2b7-9150-4d7b-8760-e44d277a4231 1 4322 19185 14 24 4330.5 19197 Result of expression 483d5366-ae6a-4605-a776-7dede05b6901 true Result false 0 4503 19185 9 24 4509 19197 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e00ce40b-ecb5-4c8d-8d68-8d5c0aa50486 true Panel false 0 483d5366-ae6a-4605-a776-7dede05b6901 1 Double click to edit panel content… 4344 19160 160 20 0 0 0 4344.587 19160.69 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true a974ac3e-f4af-48c9-999a-d2329a3ad1e9 true Evaluate Length Evaluate Length 4345 18192 144 64 4419 18224 Curve to evaluate dd279833-3dc1-413e-981b-5e9a800bc9d2 true Curve Curve false c18a9447-0b39-435b-b676-68a7105df1a8 1 4347 18194 57 20 4377 18204 Length factor for curve evaluation dd8b46e3-c743-4944-8f9b-b0b58e2be9d5 true Length Length false 0 4347 18214 57 20 4377 18224 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 8440a143-7377-44df-86e5-61e64f094168 true Normalized Normalized false 0 4347 18234 57 20 4377 18244 1 1 {0} true Point at the specified length fe53ee4f-7852-465c-9e75-6adfb08f36f3 true Point Point false 0 4434 18194 53 20 4462 18204 Tangent vector at the specified length 5586620c-327a-4b28-bc99-fd697b7741b6 true Tangent Tangent false 0 4434 18214 53 20 4462 18224 Curve parameter at the specified length d475793d-3403-4886-bbc9-be5a3a5bc02f true Parameter Parameter false 0 4434 18234 53 20 4462 18244 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e02c8247-aa66-49e1-a7c0-f831f4113bf4 true Expression Expression 4320 17975 194 28 4420 17989 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable afdfc549-12af-4caa-9ef3-8f334263bdb0 true Variable O O true 28cce138-70cc-4c36-9dfa-4b145f5db265 1 4322 17977 14 24 4330.5 17989 Result of expression c536b556-64cc-4442-9fd3-e85a35cf2d61 true Result false 0 4503 17977 9 24 4509 17989 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 1a0ff00c-ad3d-44d5-b6b8-1e5e3c702bf9 true Deconstruct Deconstruct 4351 18109 132 64 4398 18141 Input point 4c86603b-2073-4b92-952e-4b87446fc8b6 true Point Point false fe53ee4f-7852-465c-9e75-6adfb08f36f3 1 4353 18111 30 60 4369.5 18141 Point {x} component 28cce138-70cc-4c36-9dfa-4b145f5db265 true X component X component false 0 4413 18111 68 20 4448.5 18121 Point {y} component 9a781b7e-29b8-44d9-9773-564d5dceec9a true Y component Y component false 0 4413 18131 68 20 4448.5 18141 Point {z} component 5045e85a-e4e7-4dd9-a35b-31d7bf04836a true Z component Z component false 0 4413 18151 68 20 4448.5 18161 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 50767aea-5e04-4ad8-a3bb-2273d2e0ca5f true Panel false 0 c536b556-64cc-4442-9fd3-e85a35cf2d61 1 Double click to edit panel content… 4343 17948 160 20 0 0 0 4343.968 17948.27 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b8cc5c94-5e89-4fcd-9fda-2686d818fc62 true Expression Expression 4320 17889 194 28 4420 17903 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7c1f36b0-fd47-4a10-89f9-68efeaa7f9dc true Variable O O true 9a781b7e-29b8-44d9-9773-564d5dceec9a 1 4322 17891 14 24 4330.5 17903 Result of expression 8c1ff02e-0f54-40ca-9c88-39f5aa70fd6f true Result false 0 4503 17891 9 24 4509 17903 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 9afb0544-51e9-40c4-aecb-21aa4eeda4c8 true Panel false 0 8c1ff02e-0f54-40ca-9c88-39f5aa70fd6f 1 Double click to edit panel content… 4343 17862 160 20 0 0 0 4343.977 17862.63 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true ae2cc63f-a8af-4018-a449-3d8f87e3e5e9 true Expression Expression 4320 18061 194 28 4420 18075 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e92b7ff8-ba38-42ff-a010-8e658a3045ea true Variable O O true 5045e85a-e4e7-4dd9-a35b-31d7bf04836a 1 4322 18063 14 24 4330.5 18075 Result of expression 3b25a617-5555-442d-905a-92c1d04991ea true Result false 0 4503 18063 9 24 4509 18075 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c4b38ca4-f087-4d8f-8a27-cd0113925a13 true Panel false 0 3b25a617-5555-442d-905a-92c1d04991ea 1 Double click to edit panel content… 4343 18034 160 20 0 0 0 4343.718 18034.48 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a5b7a28c-c714-4e04-a20c-a1672c48d88b true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 4235 22388 379 104 0 0 0 4235.376 22388.93 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3aad9ca7-1883-4a7e-8ae5-1fb4937b0b3f true Panel false 0 fed61f29-31a5-4bf4-b461-0ce2612cd45d 1 Double click to edit panel content… 4258 20355 337 276 0 0 0 4258.302 20355.15 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 3c8cf81e-1720-4651-b4bb-d6e1fd8819ee true Expression Expression 4320 20683 194 28 4420 20697 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 9dc7f913-1388-4bd4-aab1-9723c624155a true Variable O O true 51d8b6ea-0964-4fcf-99d0-55c92d4e3230 1 4322 20685 14 24 4330.5 20697 Result of expression fed61f29-31a5-4bf4-b461-0ce2612cd45d true Result false 0 4503 20685 9 24 4509 20697 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 18afda8e-f24e-4448-8fa3-5a49fbcb28ca true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 4407 22842 50 24 4432.677 22854.57 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true b5da1097-2a48-4cd6-a489-40cb2c221f47 true Curve Graph Mapper Curve Graph Mapper 4248 20965 160 224 4316 21077 1 One or multiple graph curves to graph map values with c353f87d-921f-4335-9048-59443bbe8b64 true Curves Curves false 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 1 4250 20967 51 27 4277 20980.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 722d8e97-5e40-408f-bf17-c77e9f95179e true Rectangle Rectangle false 3bbb8a7c-3af9-4f7a-9069-f53d1ba35f7e 1 4250 20994 51 28 4277 21008.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis ed13e5d7-1597-4d27-9be2-6d7503b5b548 true Values Values false b14d6bac-1c0b-4330-b6ec-6e130a31f993 1 4250 21022 51 27 4277 21035.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 5970e511-af97-455b-af3d-670e79d407bf true X Axis X Axis true 0 4250 21049 51 28 4277 21063.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) eb5f99e2-849d-45bf-a3b3-f2721535a635 true Y Axis Y Axis true 0 4250 21077 51 27 4277 21090.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph cbaaaa58-f54d-48eb-9a32-6c3eb45cbbe8 true Flip Flip false 0 4250 21104 51 28 4277 21118.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 9e54350d-3902-4db4-b313-6ded2187557d true Snap Snap false 0 4250 21132 51 27 4277 21145.75 1 1 {0} true Size of the graph labels f6304eab-cb6c-4abe-8c2a-4e481963b5dc true Text Size Text Size false 0 4250 21159 51 28 4277 21173.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis bd492d30-dca1-4039-b3d0-425a96477167 true Mapped Mapped false 0 4331 20967 75 20 4370 20977 1 The graph curves inside the boundary of the graph 0a8976db-bd6e-4c7d-a597-b196b7853cdf true Graph Curves Graph Curves false 0 4331 20987 75 20 4370 20997 1 The points on the graph curves where the X Axis input values intersected true 7b280276-0da1-4999-87cb-32a5f6fb94c4 true Graph Points Graph Points false 0 4331 21007 75 20 4370 21017 1 The lines from the X Axis input values to the graph curves true 989ca79f-9660-492e-bb0f-3bc4165c6bb7 true Value Lines Value Lines false 0 4331 21027 75 20 4370 21037 1 The points plotted on the X Axis which represent the input values true ebecfed1-30c7-48ad-b18a-d973f8df9fc2 true Value Points Value Points false 0 4331 21047 75 20 4370 21057 1 The lines from the graph curves to the Y Axis graph mapped values true 3a045e5b-acee-42d1-9ef7-ef418ea2f4b8 true Mapped Lines Mapped Lines false 0 4331 21067 75 20 4370 21077 1 The points mapped on the Y Axis which represent the graph mapped values true aca1a47e-4a47-4dee-bbb2-7baafdd95c1a true Mapped Points Mapped Points false 0 4331 21087 75 20 4370 21097 The graph boundary background as a surface b7c6e2be-54ab-49ca-bb20-243b2be2a073 true Boundary Boundary false 0 4331 21107 75 20 4370 21117 1 The graph labels as curve outlines 4eefae75-6a08-4796-aed6-77d4e75e9fc2 true Labels Labels false 0 4331 21127 75 20 4370 21137 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds dc9ded47-5348-4465-ba7c-4634d719cc0f true Out Of Bounds Out Of Bounds false 0 4331 21147 75 20 4370 21157 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 532c1637-977d-4e3c-afc9-a2d915938796 true Intersected Intersected false 0 4331 21167 75 20 4370 21177 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 07fc185b-285c-4d94-bbde-e0ed5aaf023f true End Points End Points 4369 21390 96 44 4419 21412 Curve to evaluate 5366e069-f211-4031-99c5-efc512454244 true Curve Curve false 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 1 4371 21392 33 40 4389 21412 Curve start point ef3276e3-0c7a-4745-994e-64817518ef67 true Start Start false 0 4434 21392 29 20 4450 21402 Curve end point e47125e0-2b31-474f-abee-422b2663c658 true End End false 0 4434 21412 29 20 4450 21422 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 53979eb6-9c9b-437c-b4e7-4b6b9a1dab95 true Rectangle 2Pt Rectangle 2Pt 4359 21262 126 84 4417 21304 Rectangle base plane 9e3d896b-84b4-4c8f-ad5d-d97d2721b48d true Plane Plane false 0 4361 21264 41 20 4383 21274 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. f1cfce6c-3ccd-40bb-a8b2-f3c27ba8f69e true Point A Point A false ef3276e3-0c7a-4745-994e-64817518ef67 1 4361 21284 41 20 4383 21294 1 1 {0;0;0;0;0} 0 0 0 Second corner point. d0b86255-a647-4b03-bb74-ec072a357fb6 true Point B Point B false e47125e0-2b31-474f-abee-422b2663c658 1 4361 21304 41 20 4383 21314 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 50b44396-6f8c-404f-8188-a0519feed785 true Radius Radius false 0 4361 21324 41 20 4383 21334 1 1 {0} 0 Rectangle defined by P, A and B 3bbb8a7c-3af9-4f7a-9069-f53d1ba35f7e true Rectangle Rectangle false 0 4432 21264 51 40 4459 21284 Length of rectangle curve 51e4e8b2-ded7-4d55-a227-11b51a58747b true Length Length false 0 4432 21304 51 40 4459 21324 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true af64ea04-5511-4bb8-816c-4ed0705490f6 true GraphMapper+ GraphMapper+ false 4408 21085 126 104 4475 21137 External curve as a graph 0ae7e9fb-fe90-4515-9a55-c93fba510eed true Curve Curve false 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 1 4410 21087 50 20 4436.5 21097 Optional Rectangle boundary. If omitted the curve's would be landed a4350732-493f-4ada-9fe6-986ed71f92ce true Boundary Boundary true 3bbb8a7c-3af9-4f7a-9069-f53d1ba35f7e 1 4410 21107 50 20 4436.5 21117 1 List of input numbers 96a94da3-0a4b-454c-a776-c548877be3c0 true Numbers Numbers false b14d6bac-1c0b-4330-b6ec-6e130a31f993 1 4410 21127 50 20 4436.5 21137 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode eacf04ff-b544-4d60-8ba5-7fad0ba7b1ef true Input Input true 4ae1fad1-a8cd-410a-bc5c-da70ee1ed3f3 1 4410 21147 50 20 4436.5 21157 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 0830477e-1a1f-441e-ab85-6360eb93565d true Output Output true 4ae1fad1-a8cd-410a-bc5c-da70ee1ed3f3 1 4410 21167 50 20 4436.5 21177 1 Output Numbers 660d2fb8-6f70-4754-820f-fbde3aa50d36 true Number Number false 0 4490 21087 42 100 4512.5 21137 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 4d9514a4-6cbd-4d54-af16-2f88e8f4d1d1 true Stream Filter Stream Filter 4383 20882 89 64 4428 20914 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream cd76acc8-b8c5-4252-b918-5eabb6edded2 true Gate Gate false b122e610-50d0-4981-a71c-d18f46995133 1 4385 20884 28 20 4400.5 20894 1 1 {0} 0 2 Input stream at index 0 2ffdeee5-b7dd-49ad-8582-14d033c7eae9 true false Stream 0 0 true bd492d30-dca1-4039-b3d0-425a96477167 1 4385 20904 28 20 4400.5 20914 2 Input stream at index 1 d7e6a0c6-2276-494c-963e-d741f11ff180 true false Stream 1 1 true 660d2fb8-6f70-4754-820f-fbde3aa50d36 1 4385 20924 28 20 4400.5 20934 2 Filtered stream 1c8ee915-ea01-475d-abde-9b8ca4ca0fea true false Stream S(1) false 0 4443 20884 27 60 4458 20914 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 8d8e45b6-007c-4f16-8238-2801dae68966 true Number Slider false 0 4360 20802 150 20 4360.337 20802.86 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values bd2898b9-73bb-4f3e-ad59-dd7a36b40460 true Panel false 1 2153ab13-be79-4db5-9420-92768e8d4d61 1 Double click to edit panel content… 4334 21585 185 271 0 0 0 4334.407 21585.13 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 6fa31a4c-4d12-4c66-a161-dba69c84582b true Bounds Bounds 4358 21529 122 28 4422 21543 1 Numbers to include in Bounds ed42cd40-1bfa-46e5-8c51-a3c57dd02098 true Numbers Numbers false b14d6bac-1c0b-4330-b6ec-6e130a31f993 1 4360 21531 47 24 4385 21543 Numeric Domain between the lowest and highest numbers in {N} 4ae1fad1-a8cd-410a-bc5c-da70ee1ed3f3 true Domain Domain false 0 4437 21531 41 24 4459 21543 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 40c4fee9-ed72-44e0-9487-c1b6d27ec5d7 true Expression Expression 4320 21943 194 28 4420 21957 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 4591fe3d-df12-48cf-8991-4ebd23e1ec32 true Variable O O true b14d6bac-1c0b-4330-b6ec-6e130a31f993 1 4322 21945 14 24 4330.5 21957 Result of expression 2153ab13-be79-4db5-9420-92768e8d4d61 true Result false 0 4503 21945 9 24 4509 21957 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 21e86b7b-3b35-4a89-929c-c6381ca2343c true Expression Expression 4234 22175 367 28 4420 22189 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 90fa6b89-8772-4146-b311-8207343c62c1 true Variable O O true 4c6f9405-70bf-4366-aebe-2bfeb9080f3d 1 4236 22177 14 24 4244.5 22189 Result of expression 6ab62f94-3c0e-4e32-84f7-0cca2724b788 true Result false 0 4590 22177 9 24 4596 22189 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 0b19f101-19e4-47e9-a4d6-7abdb0a95380 true Panel false 0 6ab62f94-3c0e-4e32-84f7-0cca2724b788 1 Double click to edit panel content… 4334 22122 179 20 0 0 0 4334.546 22122 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 1 0bb08cee-3279-44b7-bfd8-62b20eb39978 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 0db85545-2abc-408a-a205-3415624eb0b5 true Scale Scale 4340 18317 154 64 4424 18349 Base geometry f2516cb6-5b36-4ba6-87ce-51060c162060 true Geometry Geometry true 9d5c8bd8-8469-41e2-a537-e174f9e35067 1 4342 18319 67 20 4385 18329 Center of scaling a60df7ee-99c0-46d3-8006-e26370ce3b50 true Center Center false 0 4342 18339 67 20 4385 18349 1 1 {0} 0 0 0 Scaling factor 66deabc1-95f1-4c7f-8e9a-2f9a3bfc06ba 1/X true Factor Factor false 04819f51-3ef5-4f05-a1c1-e17b9546ed74 1 4342 18359 67 20 4385 18369 1 1 {0} 0.5 Scaled geometry bc389dea-b0db-4f2e-ba2d-93a1aa54799e true Geometry Geometry false 0 4439 18319 53 30 4467 18334 Transformation data 02e447cf-54a1-4a63-b47c-b8ec1be0b97c true Transform Transform false 0 4439 18349 53 30 4467 18364 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 679891f5-4c19-4bdd-9087-054e9a29e795 true Point Point false bc389dea-b0db-4f2e-ba2d-93a1aa54799e 1 4398 18286 50 24 4423.696 18298.52 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 66da5c64-2186-4036-af21-cc53ca0c7db4 true Mirror Mirror 4345 17517 138 44 4413 17539 Base geometry 1334df70-14a0-46d0-b8d4-e7d136d27641 true Geometry Geometry true 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 1 4347 17519 51 20 4374 17529 Mirror plane cf272ea5-c7c7-47a9-8bc4-6f97adc7f127 true Plane Plane false 0 4347 17539 51 20 4374 17549 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 6feb001d-7a3e-44f2-a90e-d71df80aee16 true Geometry Geometry false 0 4428 17519 53 20 4456 17529 Transformation data 75aee8e3-9ec3-4f78-be86-c0c281460dfb true Transform Transform false 0 4428 17539 53 20 4456 17549 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 8ad9374d-afcb-4796-84e7-8728425be2be true Curve Curve false e7b08dab-5320-4d9e-8637-2e540e26033c 1 4397 17417 50 24 4422.946 17429.52 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 true Relay false 53eb6504-a5e5-4e41-b7ea-9590066ead96 1 4397 21461 40 16 4417 21469 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d4fb6675-704d-4dcb-baf8-4ffc6775329f true Curve Curve false dffd15f8-5a2e-49d6-b7c5-dbccad851142 1 3946 21844 50 24 3971.742 21856.46 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 53eb6504-a5e5-4e41-b7ea-9590066ead96 true Curve Curve false 27f46d9d-3746-4c59-b237-9b1e7884c5c4 1 3946 21562 50 24 3971.843 21574.79 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true e549f540-40ea-4cdd-a497-b3459a2e7f20 true Scale Scale 3888 21594 154 64 3972 21626 Base geometry 45ae7fff-51a7-45f4-aa83-475d9e681975 true Geometry Geometry true d4fb6675-704d-4dcb-baf8-4ffc6775329f 1 3890 21596 67 20 3933 21606 Center of scaling c385f527-6f52-46a4-94c7-37deaf578949 true Center Center false 0 3890 21616 67 20 3933 21626 1 1 {0} 0 0 0 Scaling factor 7937a93f-7dcd-4f53-89a0-6c388d42c2f4 2^X true Factor Factor false 9b841fa1-df46-463a-8a58-7dc4660c77b4 1 3890 21636 67 20 3933 21646 1 1 {0} 1 Scaled geometry 27f46d9d-3746-4c59-b237-9b1e7884c5c4 true Geometry Geometry false 0 3987 21596 53 30 4015 21611 Transformation data 2a3d402c-e839-4663-a1b6-4ede7a4f2f7e true Transform Transform false 0 3987 21626 53 30 4015 21641 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d4fb6675-704d-4dcb-baf8-4ffc6775329f 53eb6504-a5e5-4e41-b7ea-9590066ead96 e549f540-40ea-4cdd-a497-b3459a2e7f20 27899f96-8899-44d3-a06c-50d23c4c5623 cac810ab-41b2-4af2-aa25-4ad3cb752d7f a18d0199-e56c-4b2e-b65e-b21bd75e936d 0bc0a15b-7cb7-4bd5-9716-06b6d3f8e53c 06e47af2-bee0-41e5-8c70-f2ada704afe3 187609a9-6152-4b0e-a953-efc45d58277b a70553ad-edd5-4332-bbf9-dd3780725459 10 9704f814-34a4-47eb-ad71-18bb3f4c4f84 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 3f13fe4e-bf76-447f-8707-32c517a7b1a2 true Move Move 4345 17453 138 44 4413 17475 Base geometry cae1338b-7594-4178-902a-801425a843a1 true Geometry Geometry true 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 1 4347 17455 51 20 4374 17465 Translation vector 01be6c91-b0cb-4f0c-bee0-0df48307b1b0 true Motion Motion false 242f436c-d653-473d-8784-64dcc7e82383 1 4347 17475 51 20 4374 17485 1 1 {0} 0 3 0 Translated geometry e7b08dab-5320-4d9e-8637-2e540e26033c true Geometry Geometry false 0 4428 17455 53 20 4456 17465 Transformation data cad668eb-d811-4583-9804-55cf4c398045 true Transform Transform false 0 4428 17475 53 20 4456 17485 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers cac810ab-41b2-4af2-aa25-4ad3cb752d7f true Digit Scroller false 0 12 2 30.9312132004 3847 21787 250 20 3847.142 21787.88 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a18d0199-e56c-4b2e-b65e-b21bd75e936d true Panel false 0 0 16.93121320041889709 3904 21687 144 20 0 0 0 3904.302 21687.5 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 0bc0a15b-7cb7-4bd5-9716-06b6d3f8e53c true Curve Curve false 0 3946 21519 50 24 3971.843 21531.79 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 06e47af2-bee0-41e5-8c70-f2ada704afe3 true Curve Curve false 0 3948 21976 50 24 3973.793 21988.63 1 1 {0;0;0;0} -1 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LRMrmod8B4fl21J8ZseJe0j43A4O/zu0b4u7cdmBeviJt6L5yXeoSR49Yl0p9cHj5VZzlHIhbd6jQsVl8eL+LPmKaN6SC93Tmeur31A/aFP7KNIkFwTzZsRG91C3nLZHNJ8R9YZv3m57E8TdJzOZH+GaC8YN6advRVJXu6wrmufkQkj8Hutzyoni/l3FY1YEPxf2SiZOsbxO3TdztGj+kwveejv5Zyuoh9nevBCulAcyQ3bKO2xIonn+5GbRvCgPfnbKTvL0pa6XfCA+zCQPrrvFnysYk0zXxypTNF/KA1OnuPPK16gbjdYbEeaaB0V7t921rqYuGeYtmkflwfZXkWNLtqWIe8a+Caah/DyYz19771AUdZ9+90Tzqzz4FgL6PbNTxf3N+86vIUo/4DWn0tf7JfUXK4+K5l0/oPb6/QW2g9PE/W1pbkewyQ+Y+eK87n5b6t7XV4vmYz+A/bRmslk19bBJAauDXX9A2SCdXfZ708U9LnKKaJ72A2bdebs6iUc9bdejx0H8HyD4fMpg1qoMGj9bGKL52w843C386RNKPcjRUhColA9Og/0/eynyaL6qWiSa1+WDf4zjsKdbqZtwN8wONMmHLU3qPNmH1IfuCBPN9/JhXInOu4np1N/VzLANcM2H0IJNOtEymeI+4upz0TwwH4pnjF7dtZb6vpFSCf78fFg+Ussu2YH6tU/nRPPDfLhbttZZI5H6Oe3SEf5KP+FYxZ9lc6SzxF07YYto3vgTHh5snRu7hnrctihTP5Of8OV9zoSm29RHlqiL5pM/4XjDksCwFOqzLN94+br+hMvPvrMmDssW9/aOIaJ55k9wKlgeOX4z9avXL3b68H/CtqEqTwOfUOfIVInmnz/h/GmVypo86l8eGev7KBWA+7bKY9wJOXSfKyaI5qUF8JAxLFPzIPUrr+Y/YZsUQGn44vRln6nvUfogmq8WwIYcxdEN9dTz3Yb/YrkWwGWn1Xv0tL+Je43yVdE8tgDGLjq2VcOO+hPX+tksfgHkT1D1jUqgnjx+n2h+WwDm16bOaJH7Lu53nqfaeisVwjFfiZMpu6inD18kmvcWgnPbUc1VH6k/vfs5wcukEJ687JpxUEg9r7+iaD5cCCMr9wyevjhX3O/Z3Brp5VoIYdPn3nrgQD2opjn0K6cQlrxV2vz6G/U1Jgf3f+UXwsq3SRONpuSJ+2pepmj+XAi2Vjnv2KeovwU97y9KReBgXOoUyKW+z8tbNK8ugpnvX78yk/sh7ifGTOjyNCmCHy4fLkSaUs+6flc03y6C8luvf0b5UL9S06Hv6VoEb3xmnbeSyKfno9ER0Ty8COxOtHYnb6POCv7+5DO/CAwEb6ZkeVBXGb9KND8vgpOZya9vdVPPuuz3y0OJDw6c8Uq/DX/SeFU4STRv58OLt7C78yP10EVOczxM+NDve6RkWBf1385/ctzt+LDy08sstS0FNG9sPHHR3ZUPBfpKZzd+pv5+3U/RPJ8PB7f1vFPuVyjuU96uTfzE50NxZVvvx53U1W5U/upq5oPUWSuJSU+p72sJEv13AR9e62426valLm11Z1yvXX/mf5b/D/1DiP/+i49/j4QqoxqoHmqImqJWKBN1Qt1QNspFeagAFf7n+Jp4fFQZ1UD1UEPUFLVCmagT6oayUS7KQwWoEGXMxeOjyqgGqocaoqaoFcpEnVA3lI1yUR4qQIUoQwuPjyqjGqgeaoiaolYoE3VC3VA2ykV5qAAVoox5eHxUGdVA9VBD1BS1QpmoE+qGslEuykMFqBBlzMfjo8qoBqqHGqKmqBXKRJ1QN5SNclEeKkCFKGMBHh9VRjVQPdQQNUWtUCbqhLqhbJSL8lABKkQZ2nh8VBnVQPVQQ9QUtUKZqBPqhrJRLspDBagQZejg8VFlVAPVQw1RU9QKZaJOqBvKRrkoDxWgQpShi8dHlVENVA81RE1RK5SJOqFuKBvlojxUgApRxkI8PqqMaqB6qCFqilqhTNQJdUPZKBfloQJUiDIW4fFRZVQD1UMNUVPUCmWiTqgbyka5KA8VoEKUsRiPjyqjGqgeaoiaolYoE3VC3VA2ykV5qAAVoowleHxUGdVA9VBD1BS1QpmoE+qGslEuykMFqBBlLMXjo8qoBqqHGqKmqBXKRJ1QN5SNclEeKkCFKAPw+KgyqoHqoYaoKWqFMlEn1A1lo1yUhwpQISr+V5tk3zzjf5vY6PvFXFaVFIB6r+b7XB71aVMfD86WFcDOO4v5SUOK6A+sNiQXZikJYM3zW/uPmFNPONPPJ0tdAH/UauVDoqmPf6FzIwsEcFDN2yBsIl/cT3Esd2QZCCCha9QBi4vU40s+zcwyEcAT85/PMvOoj5Mq6sm0FMCnR3/Gnx4nEPeTM0ZlZtoJQK26LSVrHfXIdRs+ZDoKoGzZjSt3bKkPOn7dOtNVAN+2Z+U/96S+5U7oukyWAKoSZO178qk/9WiYkMkRwAPmsRnBMr/EPSdOtYGXIYDXO+SOJC6mPqjYJJbHF8DKGeq/Z1tQX9zzzJlXL4CLvOYtla7UDymkH+P1CmCzquP6tkzqtzQkl/Jkf4HEkFkXdg0oFveXaxbL85R+wYPtHVfltal/MTlTmqH+C6Bk6pDxx6h7nfMMyoBfMPp+QcSF19Q97vy6k2HwC1aqb1oyM5P60zeK+zJMfkHVB3eN2ZIl4m7tY6CZYfkLRiWNXnpNl/rGmFsDMux+wQDrJJkZFtRH50Tkpjv+gvjbtTDpPfXskmbPdNdfcKuAzTyWR53ZqHYlnfULdq1bdnbAsFJxn8w4uDmd8wvOe6dy61ZQ9x/yYmp6xi+oKGEOmWFLXVsxsy2N/wsK4+72+LKpf5ksnZJW/wss1MctvFdBXX4WvEnrFZ1n154j/hPLxN183vlTabLFMHig3Ry17dS/LvJamaZUDJtmsOYK71PnLytVSFMvBrbeuHES8dQH6o+rToViOKPScP/gH+pj1m+JTDUohgfB+zTltcvFfcKm2w9TTYoBMh5+kbGiPsyQeyjVshherw5+t+Uz9VrDNu1Uu2LI6OgNLyumHmE4RybVsRjaY565xY6vEPeLBmZFKa7FoM30bKrbTl1l4yufFFYxeA06uufQQ+rRa7NvpHCK4c4ixtWpqdTXrhpsnJJRDJnC11LqUpX0BwuwTC2FXwzhA6yeXV9OfaquzZ/k+mI4veVD9qQr1K01WZnJvaLrHHDEbFAo9SDV8g/JsiXwTqq6QbeVevnECTbJSiVweNpOJb+5v8VdYuTW9cnqJXDmt+DxWUvqw6TvTkyGEmiaw265/JW6dFdUQ5JBCfTPbK5K/01dWNMem2RSAsmeBWPMVapofCtUf55kWQKmzk9VV5tRv5N2+HiSXQnUnNoYcfw9db3w10uTHEvg06i5V3J/US/5nCOf5FoCTntPyd9WrqY/OHomU5bIKoFfU3UnME2ot15dHpzIKQH26iD98DfUj564cDcxowTmvxmjvaSIesI29r5EfgmcHvjgYf+JNeI+dmmFZmJ9CXjtWt4js4/6nmkTJRN7S6D53CHlnW+oO8psy0uQLYUzWpPf/i6i7iO8+yVBqRT0LD5Pi1CqpePmRF9JUC+FR/1Ut2abUk8N6ticAKVwMTElS+0d9XgXjWkJBqUw5020fnwJdR9b8/Z4k1KI3btw57tpdeJ+f9eblHjLUthRbOrFMaduqvvtTbxdKcyQOlQ1wZP6VIUhp+MdRefpfiowvIZ6YdPyVfGupZD+OijopXq9uN/OuKAYzyqF+riDT0JPU5/tya6O45TCt873jYqB1OOuV0TGZZTCc4VPNoEd1Dfvmfgojl8Knl3rDydNFIp7rtY2s7j6UngbapT8XY/61sH3dOJ6S2HxgquLJA5ST+BHy8TJloHsnup7m25S1/LvKIpVKgOvMZ8fBrtTf26v4RurXgYf9mSOX5ZMvW2n+c1YKIO7wy/2q6yhbqj2xjjWoAyaVCOGe8k20B+kdOWoxZqUwcn73lOc5lJvSJbpjbEsA4fZh6UebqO+2GV5VoxdGRS1djqxbKjfOHzhY4xjGfR8v/64+iX1pLlsmxjXMjgXplC8kkN96J/y9TGsMih4mGYQVkzdIHGCUgynDLj64axNAxvF/eHDrY3RGWUQnNyZ82cG9Zydd+Oi+WWwXdrtUcpG6qMnRT+Pri+D6XXRYf6nqO+paD8e3VsGCUdtp4Q+pf7xqzpEy5ZD1JHCVz9DqDdYHR4erVQOHnn9uxSLqK+Y97osSr0cRrj3kz/dv4k+l9bs4CgoB6cooU/5dOotQYPvRRmUg9+oCvb59dR32iwziTIpB/mHXYJJVtRjtW3mRlmWg86kVaMqn1DXafWWjLIrB45fvnJSCPVAv7I8rmM5zF+Q/T22iPpSq/Ffua7loP5s1eCfEs3inqVmZMdllQNErXkgM4P6mfLbW7iccmj/0DR/+ybqU9y407gZ5dA4Z29O6BnqfOO2dg5f9L42vFqs60LdW25OKqe+HAqqE5ZlRlK/k3DIldNbDs0drYHXSqnbXn55miNbAc8P6VluHNwi7pfmZq3iKFXAtjFhSzQ1qDuVS4/hqFdAhOSVltnbqYe6QE0kVMBhBbejKy5R71p/nhNpUAHli3ROnnpH3bDn66NIkwqIN92bHZRIPcqrxCzSsgI+nZluObqe+pq9Y3Uj7Spg2AHPEfdHtYp7lczmIZGOFeA8hvFk3GLqHiH2/AjXCsi0XxoTdYD6jcORvhEs0ft6cems3W3ql4a33IzgVABraabtVjb1xxFqOyMyKuD8AaPPernUk8wPzIrgV8DipjHZK/5QnyLv0hteXwHPihal7J3WJu6vQzKywnsrYPRw3qEHG6gv2T/wU7hsJRhcrD397Qx1hvSSC+FKlfBN6kvi3JfUq73ObAhXr4SlH5V0P0VT79riqRQOlTB62QFn9Srq2m2CxjCDSuhIvB2YLt9O89sXCvFhJpVwdqbX0eu61Gcu2eQSZlkJE41Krm/cT7286MaJMLtKuK2xIm/Wbeo8uzAIc6yEtewS3Uk+1KuUGoeHuVZCM+fnxZk/qGtxVMtDWZWgsHH5qTX9OsSdtdckJJRTCRtXzam1nUF9X9fTe6EZlTD9WWB01Gbqy5+nmoTyK2H+7MbY8bbUd8+T0AqtrwS59rb4u++oe2XoDgztFZ1nadHLYSnUtY9Z/QiR/Q3n+BGjPzZR75Jw/xqi9BtUcr8MNhjfKe7drwrtQtR/gzCYs27IKuo680cahcBvOHpazrPgJHX/1HXTQwx+w9QG/y7OM+pWB692BJv8Br/JscMDOdRPdASlBlv+hi/NW6MjK6l/fVDnGmz3G1y3Xin8Id8l7hpTpp0JdvwN0zV2aEstot4ZuHt1sOtvyDzb+m71IeqD1z0aE8z6DVpyZ5qc71M/VJBYE8T5DeX1JV2dgdQHWfRygjJ+g3U/U0dLAfWOP/MfB/F/w5W5f5gtg7rpejqeOBxU/xvuWn17f0+LeszE97pBvb9B+3N38ry91N28fgwJkq2CEcl3kmpvUc9YJCcIVKqCAO6z00Fs6luSVvsFqlcB21bb5WE+ddXtl28FQhU8L7sud2lAj7jvKPbbGWhQBRL1j76cn0O96GTVrECTKrh+4+KSq8bUOe3KjEDLKvB+vNXl5TXqndd2ZAfYVcHIwfMfxX2l/mTIg08BjlWw6ZtW15/v1O8+jb0Q4FoF9cXm7vr9/oh76YSuDQGsKrinXHnUVY36m4+aygEc0fu9mDJq4HbqEbOONPlnVIFUseqVi0zqy/zexPvzq2DoMoXzvZ7U1XS/ufjXV8GBW168h9+oX4mUOenfWwXPXPvvn8voFfdFK5br+ctWg57t7E7BTOpmCTYj/JWqoVlileXrbdS717HK/dSrYfVM08fmTOoS6WUhflANyflPdeEL9YuG4+/7GVTDKImeeVO/Uz+UtcXUz6Qa9q3ZPusugyH++5hYo9tafpbV4BlcGDZ4NPUXOZyBfnbVoL3WzddJjXrF1tYfvo7VkGU1o3P8MupeObO8fF2rYfmnAZdY26nXGx1k+rKqYZtpxKQ1J6izslyMfDnVkD2Kn1N+lXqdIW+6b0Y13FrScuWu81+vnz6w04dfDQs33R20wOuv11+/JM2nvhpCImftK4+mHpB4xs2ntxpSJM0Ov8qj3m+V5xkf2RpY8oIjY1xH/TtXsNpHqQZ+NCZojxnQT9znLVYY66NeA0dvDcrhj6E+IWhjLRtqIDBFNvmLOvVHmje4bIMauKd7WOLyKurPv4Q+ZpuItl/9/KjRburq0xoOsy1roPuoZvmcU9R3vFFZyLarAbWxEQdk7amPUtg3lO1YAzLp8YnNr6gfdXwiYLnWgHn3j358X+pbpVL8WKwaGDL+WltaIvX8K/3sWZwa4L5f9ziqiHp3i/YuVkYNbB7MiQxpph52wmI2i18Dt+OPHQwc3F/cx5R8YLDqa0DT4MexIGXqY3f+zPburYER455Fhi+gHpku7+4tWwvdbrPWxG+gPnDlGltvpVoI2KHakH2AekvwlY3e6rUgFTjyfZkN9QezA5S9oRa4cy/rdz2gnvm2usnLoBbcV9YmjPxIPWrU5AQvk1pwOCAcOjeMuslt4xdelrUwR2K4hFEmde/uBye97Grh4OtCJ+sK6izLOD0vx1podC9yc+2hfqi4a4SXay28d3EbnzJCQtwzts6t+MqqhZW/vWs7ZlBvjD8S+pVTC6+GPu1R0/trex3X+18zauHC5aL5+7dTP+L5zfQrvxY+sEYzXU5Q54wbMu9rfS1UjE2Ky7lG/du95VJfe2th6IKrwuEu1L16bPK/yNbBL+vk30Ys6mssWF5flOpg1g6Nl85x1D8XlTG/qNdB+LqldYU/qWduGr/1C9SBUZJd6vRG6tGRW1S+GNRBzlqm0mnpAeJ+Zc7tTk+TOvBfnsLjTKQu9YaT5mlZB91qNUmy86mbDm1187Srg1xri+b966nfuTTrrKdjHeh7F+oG7qduX31A39O1DvIl464PsaFuvMtlrCerDsaWscMOPaDem5hR+5lTB4NWzkiJ/ED9qvbAqM8ZdVDwIf7l2DDqBR8XP/nMr4MLGSWjbTKpjxp5xvxzfR1kVUVNz62gPuva54Wfe+ugbfdqX+0/1KcI+UM/y9bDBQ3+V5eRknQ+e0f/8lCqh9inWj+7Z1IPTNng76FeD1sfXmbvX0bdRve6vQfUw12P0yPjd1Bf4B6yy8OgHkpC457NtKDeMlI428OkHobFtcg53qAecG16Pw/LekhpNrrf9IL6GeGeHHe7ejjzbPwgYx/qc/c9dnd3rIfv64beDE+g3pCSZOvuWg/my5sYk4qos3UZm9xZ9XB9bMGlm83ULd0XTHLn1MPK2bHtvwcPpPFw1MnmTxn1UHH269lNk6jXXnuf8IlfD3u9nwh9tal/Ff548am+Hj5UXzqhsIn61VIPlc2d9RA34uRIyb3Uj++Ts/jUWw81KmaVFw9RLyhYVPh/9B9C/PdffPyDNCqHKqLKqCqqgeqgeuga1BA1Rk3RI6gVaoMyUQfUCX2OuqEeKBsNRrloIspD81ABWokK0fb/vP9l/yqNyqGKqDKqimqgOqgeugY1RI1RU/QIaoXaoEzUAXVCn6NuqAfKRoNRLpqI8tA8VIBWokK0HWUs/1dpVA5VRJVRVVQD1UH10DWoIWqMmqJHUCvUBmWiDqgT+hx1Qz1QNhqMctFElIfmoQK0EhWi7Shjxb9Ko3KoIqqMqqIaqA6qh65BDVFj1BQ9glqhNigTdUCd0OeoG+qBstFglIsmojw0DxWglagQbUcZK/9VGpVDFVFlVBXVQHVQPXQNaogao6boEdQKtUGZqAPqhD5H3VAPlI0Go1w0EeWheagArUSFaDvKWPWv0qgcqogqo6qoBqqD6qFrUEPUGDVFj6BWqA3KRB1QJ/Q56oZ6oGw0GOWiiSgPzUMFaCUqRNtRxup/lUblUEVUGVVFNVAdVA9dgxqixqgpegS1Qm1QJuqAOqHPUTfUA2WjwSgXTUR5aB4qQCtRIdqOMvT/VRqVQxVRZVQV1UB1UD10DWqIGqOm6BHUCrVBmagD6oQ+R91QD5SNBqNcNBHloXmoAK1EhWg7Kv7fVpF984z/bWIzs2ZR/uX+Qhi+eG9443Hqow6/V86WEoLWoY2HBLbUm18tHZwtKwTbt/MFKx9Sz8n+0ZSlIISG/Al7PrtT9xt8rjBLSQiPJw/MGxpJ/fEyuYQsFSFsnV9ndDqH+mmbL+wsdSGcGpqb8b2K+mbW6hdZ2kLoJxmxflE/KXHXLP91PQuEcCjEK8FVgbrchMsns/SFMHT3+RUD5lBvMFLckWUghKQ7OZwjK6nz7vjpZe0QQvOTAQvTdlFnRW2amWUihA3uO8I1T1F3av89IstcCNcjNyg/s6d+XP1mT6alEEaGPmvpfE1952HlikxrIexTqp6yz5/6ttdhvEw7IQiark/kJlPfn7M9NNNeCJJm0p7Kv6hflml8n+koBBNmeYhdG3XP5ffvZzoLodtTYn7hUGlxr7mgap3pKoR0mbeSulOpg0+Maaa7ECKOjRn1eCF1j8p96zJZQuhZK7mx2pD6dOVOrcwgITi9rXm2zJx62I6nEzI5os8lb3fB08vUzR01pDIThFAwpWhg5WPqsxJShLwMIUwZ2tur7Ul9cO/hfF6uECQGrvO5yaUuod0/lscXwo1b6wZkfqeuYPnai1chhPGS94rH1FLXd9dx5tUL4Uu7y3xTiUHi/oSfzeS1CaEtt7f8/Rjq/RQtj/F6hZA8Zq2gVJ36PcPBW3lSDSCc109mymrqOrc/LuHJNoCWm5/hvj3UJaL1VHgKDWCSVf3i2WnqjZ0/5XhKDbBo+fzsFAfqA+ZZd2aoNMCTw+NKet5Q1z05vDRDvQHmB87wnxVA/fEnr7QM7QYod69WN06hPlKwJigDGuCsbw0wf1EPG1PqlqHfAJ83BKd9aKN+18juToZBAxjU/oiOGzpY3K/dH3s2Y0cDaMgUSpdMof4+IWBvhkkDKEzYeLtbl3pDv836GeYNwHMJmD3ckPqRxTUaGZYNMLn9LX/KYepDrO3HZlg3wE/v1w6al6gX+UwekGHXALHz5g1f9OivXhNRm27fAO6MBjM9D+rDVHfmpjs2wKbbJieXRVI/ebCZm+7cALdWyQxfmkP9zxtHz3RX0fl/tVuyoIp6VP7MJ+nuDZCitebHDIaMuAeNjr+czmoAKyNhuuJo6oIt+83Tgxog7aqEtMQs6nqO3YbpnAb4On+oReUy6tkpzgvTExqgoOx5VeIO6q7SWlPTM0TXZ9Bc8w8nqb9blT40PbcB1o8+lGZ7nXrhtaNtafwGmHQjdOAGF+qbuQN+pVU0gEUSt1uBRZ3xxzU5rb4B/uzp71IUS71q0SL/tLYGeBEwOM41n7q87ffXab0NMGSd2bHdQupng0/Zp0k1gtLD16flBw6h+61tyKk02UZ43Q8SosZRb5nvsStNoRE2D/+2+YTmX9ufW7EyTakRBiys7pLTp37Gv2h2mkojXKsfwmLtoT6q+YJCmnojPP0ct3XNaertWqP6pWk3giTf7Xu+PfWJZ9lVqdAIbgNnTjR/Tf22//qcVP1GmO1cM7LWl7puS3lEqkEjXJA6++FEIvXZC665p+5ohI3p6wPLCqkftZ7wMNWkEU4f6NUybqJeGxxsm2reCP4Lx0rFSg8V95BOo0Oplo1QmKYyZsZE6mmL6zemWjdC0CM/I3st6rPs7min2jXCEMZat6I11L9FTZuUat8In+6dqZyzj3rygKjBqY6i68yKHGVzhvrQNXuaU5wbIbsoQD7Ugfqru22FKa6N0POwNK75NfULGY8SUtwb4SF8H6fqR/3jiDk+KaxGMN03uscokfok46QXKUGNoGGmYWRTSL3u1aEbKZxGSEtmST1tpC5T3HsyJaERGAOVB3hKDRP3Syovd6RkNMKz+0PmBo2nrndywbKU3EbYnse4GK5JfYdf5swUfiPI7HVIDFlNPbrjxMiUikawezRnAGs39et60n+S6xvhcv0VhVdW1F/av69IbmuE9KoBNcyb1AdnLM1M7m2ExV3rj+99QT1jdH5oslQTPHLmX9FkUa/bd+5DsmwTuCxYL9cTQ93cXe5BskITjDcYO4ibR11X+MU6WakJynbkbbGtpX5YV39/skoTRCbI5ar1l6XXv1a8Llm9CSxGGdjljKaelXp5XrJ2E8QGTZx/Vo36aIUxE5OhCRymyRQP1qMesN9fKlm/Ca59c7V8vpW631eDhiSDJriy9EjC+KPU5dur8pN2NMGq3Pos58vU01fcik0yaYL3o6MvDnr013k6TvJOMm8CkzPHvpz6RP1kQbhzkmUTrDx0dj0vlLrhDOOrSdZNMMH0+KppGdSfnm86lmTXBH6F+desSqgviX2wNcm+CTKMNtX6tFFfO3zm0iTHJnjzSjWoWVJO3CNM41SSnJvgwLUgaxk56k9YpvJJrk3w/NmY2RPGUs/809WZ6N4En56MTJ0xlfr5Tc6liawmqNO2WKs5h/r1N3PTE4OaIH9RjYuWDvX2urSgRE4TJO3e6quxnPo3OPo2MaEJphqdsFfdQH3iwwF3EzOaYFNhx9Bx26nzil3PJuY2gVdA9EJpU+q18xbtS+Q3gbvzvf7Co3+dp/13/cSKJni1dMKurDPUj+ef0kysb4JWs4ULWJepp84eOi6xrQkUkz7fvWVP/dVVjwGJvU1weIqmgfFD6j++rahLkGqG1RrPzk19Sf3WTH5ugmwzjP/ypqnqA/V3drZRCQrNYGAgF/nFm/qcb6O+JCg1g14eO+lwMPUZaj5PElSaYUe/1TLjo6k7X91wJUG9GdpvPrVOSfnr/eZVmCdoN8OtSWYS575RT1C/vjkBmuGIo+17RT71u/YTFyXoN4PE3ZcbAiupx/BDpiYYNENoxv2mjY3UT+psG5awoxkaFRXu87uoP3gobIs3aYbhk3uGHpeUF/cp1Xd/xZs3w6VPkseFw6jPXqWSEm/ZDM77W59bKlL3do32j7duhvhhT+9VTqL+qXPvm3i7ZrA86r5wtxr1kds77OPtm6F5VpNzwjzqXT5PTsU7NgNn5FKX2Uup7xymsTveuRnUCzZq3denrnk8ZWW8azN4L63cVW5I/Wri4Tnx7s3wqi1rgO4u6hum91eMZzWDSXT2tJsHqTvdeN0vPkjUd7F9k09QNyjRqY7jNEO37Ry3Qeep316ekxOX0Ayv+SNKltlRX/rOMjIuoxncV0y3OuNA/VR/GY+43GawO6C2+M1D6koHPz2M4zeDQ1vlougX1NfGLrsYV9EMKpFTD/HfU2+cVngorr4Zok99+NzylfoYB5tNcW3NEJY2u59kIPWIqhE6cb3NYHv/lslQDnXBRtakOKkWOHjibMiwROrXfNbJxMm2wPdpERKDMqm/H1XeHKvQAkvPTdfq/kF9pe3VolilFugedX5xZTF1M/74xFiVFjgXc2pkWjX1gauCfWLVW2CYLp/l2Uxd9YvRy1jtFpg194bE1R7qafL1N2KhBeYdmz7AcOBwug42dyxi9Vvg9qu7nxRkqbsIphnHGrTAwxsX+LkK1GPWRC2L3dECrMKA907K1K189qjFmrTA2oMDK5fNoO42tn1krHkLxPA03lZrUt984/GfGMsW0X+LdMbcX0jdvm5OZYx1C1QazlyluoL6sp3JmTF2LbAn/8aYsPXU7WLNwmLsW2CFLm/+6q3Ul2v0+xjj2AL9ZmQ9SNpD/farVw9inFug/ZDhmFVm1LcN0rGJcRW9Xw+55OCT1D+dz94f494Cc1h5T6eep3651GJ9DKsF5s6zOOVwhfqPLYPnxwS1wICmZ5tLb1EPi/o4MYbTAgPdFdV0HKlP01wmHZPQAm9lQhqvO1Mf/ragITqjBbQKlrxOcKXuIG/zMzq3BabnnFCS8KB+89qIuGh+CxR4y1gsYFOXbvb2jq5ogRAVweX9wX+9/uF1z6PrW2BKJ2vFDS71D3llV6PbWuDyLz3/N4nUI9ZfPR7d2wKzXYxj2Tzq+zjjt0VLtcKzgvAjoXl/nadW8NJo2VaYYK71LExAXdvDSDVaoRWmNV9d5l/51/0zoV4+WqkVRoOFyQchdc3Hd7qiVFrBQCKy9G479QuDppdFqbeCbveC+GOMEeK+nhmVHqXdCtplb9r1pKl/atsTHAWt4H0hzGqYHHUHy/a3Ufqt0Ht2y5RsBeqNFY/vRhm0wqNHMyQdlahXmKqfi9rRCin3B8osV6F+KD95X5RJKwybzJpRM4f60a2H10SZt0LE4N/b7i+g3p7eb26UZSuAhO2NaUupy617PS7KuhXa4lU8/VdRZ8XpSEbZtcI6+eCwhRup/1iWU8e1b4XXr4VeQVup34u0zOM6tsI2Fedzanuoxy+SieY6t0LW0VNSzw5SvxPy6QvXtRVslVcZtx2jnqe9/CnXvRUCB+btMThN3Tuw8AqX1QplufWD3lygPnTBhSPcoFY4abBlawmTenPAyC1cTiv4qsZpKDn8dd0WsBdxE1pBUWnYk82O1PcGrZ/GzWiFAXWNp22fUS/SqRjGzW2FfEPdaJfX1CtDr7Vz+K3Q09/9POsD9YtLJhZzKlrhO6ffzbAv1J9yQ1I49a0QvVy2OMKXus7KbQGctlaYqf/0WmAI9QOJwjec3lY447Bz90cu9VEb7zlwpNrgT9Sk/XcSqBtkqZzmyLaBBsvPwSydurxxzG6OQhtYynyLX/CN+q6ifas4Sm0w4dF6uT8/qauZdc7hqLSB25+CnWHF1K/VPFXkqLfBriEGzy1+Uzc9q9mfo90GfufNuQpC6nHdqdWR0AYyHdXxga1/3Vc3j3yL1G+D5E3v3Nb3UJ8kO4ATadAGm7QMl3+XGCnuCi6uHpE72kDiQJjb9sHUn05Z9CjSpA3WPvvMTpX7q3t/vxhp3gbX7woO6yhQn7jwtFmkZRuM6ZkW7DKBumr8UINI6zY4/glchFOoh2z5rBNp1wbFy5v+LJ5JPY2/cnKkfRsU3B9YdEWDuvlJgUykYxvELAe1wAXUr3ZdbIlwboOO8Qd/Fi+mrnxHgR/h2gb5udolA1ZQXz7GLzHCvQ3q5lzXHr+WernHJt8IVhsMLxycpmpAfYhu1cuIoDZguT55PnMbdf+kmzcjOG1gP7P8waTd1It2TbKMSGgD521xH4bup+5QE24ckdEGZ061pdcdpu53xXh5RG4bqCeu6B93gvpe+Wa1CH4bzF91TMvpNHX7D46jIiraYNa21TsMbahr6qj1hte3gXnkhgOSV6jvTI2vDG9rg9Ump9axrlNPuDFHfXhPG7RLzbWwsKc+cv+BrPDeNtgyUmPKhtvUN6/lsP+P/kOI//6Lj3+QRuVQRVQZVUU1UB1UD12DGqLGqCl6BLVCbVAm6oA6oc9RN9QDZaPBKBdNRHloHipAK1Eh2v6f97/2X6VROVQRVUZVUQ1UB9VD16CGqDFqih5BrVAblIk6oE7oc9QN9UDZaDDKRRNRHpqHCtBKVIi2o4x1/yqNyqGKqDKqimqgOqgeugY1RI1RU/QIaoXaoEzUAXVCn6NuqAfKRoNRLpqI8tA8VIBWokK0HWWs/1dpVA5VRJVRVVQD1UH10DWoIWqMmqJHUCvUBmWiDqgT+hx1Qz1QNhqMctFElIfmoQK0EhWi7Shjw79Ko3KoIqqMqqIaqA6qh65BDVFj1BQ9glqhNigTdUCd0OeoG+qBstFglIsmojw0DxWglagQbUcZG/9VGpVDFVFlVBXVQHVQPXQNaogao6boEdQKtUGZqAPqhD5H3VAPlI0Go1w0EeWheagArUSFaDvK2PSv0qgcqogqo6qoBqqD6qFrUEPUGDVFj6BWqA3KRB1QJ/Q56oZ6oGw0GOWiiSgPzUMFaCUqRNtRhsG/SqNyqCKqjKqiGqgOqoeuQQ1RY9QUPYJaoTYoE3VAndDnqBvqgbLRYJSLJqI8NA8VoJWoEG1HGYb/Zd8843+b2JgueXbOvH87fFGekzfjLvXJrT1h4VLtsO+zmcOvB9Sj77p8DJdth6db5hcdfUK9cNJ8x3CFdrDQmiJf4UL9VDDPJlypHRxOLlLb6Ur9ksGJA+Eq7XBv4SAd7gfqveVSG8LV2yFrts/y8Z7UW6+8nx+u3Q5Nu89sP8mivl8BlMKhHXJsHa74+VMHdr50uH47VOiqxdeFUL+/9nxjmEE7TI16qqPEob6hRL4gbIfouHv6/1oZS936sldcmEk7XDb4kmySRF1OcS0rzLwdNhUlM6zSqY/wK30eZtkOIRtfPjiXTf36Jua1MOt2OFi83c4q768JatW4E2F27VAq0C4yLaTucitoW5h9O+TdtwlcXUx96RQjCHMU9dlGIyZXUF/DrVMNc24HpmR/RlM19YC9d4aHubbDsZ0c+xAh9Vtd07pD3dthrkVcwLkW6kEuUWWhrHY47bDpqUrnX6+vszcjNKgd4mqeaGb8oa6T2x4cyhF1ftbTExKj6PXPP3kXmtAOwz4tT+uVoq4xWuNeaEY7LLwxscRhCPV5gSnnQnNF1yHSrVhKnvrT7eYmofx2cH8hkXtpFPUNbf3Xhla0w4Q9V1MqxlDf/fzN3ND6dijR35qyZiJ1ru7C8aFt7fDwXeAv18nUL/38JhnaKzp/dvGY2unU714+VR8i1QGjg4bbaahRr1Ua+iNEtgMmdzLHH1On7hbtER2i0AE3Is17XLSou5ut/Bqi1AHf1vSbzdWm3ikteBqi0gE+hfaBBYuov/560S5EvQP8ouZ/rAfq9w0VjoZod8B53VUDOlZQT2723RICHfD4trCoXZ/6VpdNi0P0O8C99ZRe/Xrq05dWTQsx6IBNcRLzCgyoLy+5KRuyowOUFwpiOUbUPRwmdQSbdECoy7I/Ljv+ev05EcXB5h0QpHqg+thu6qtyjFODLTuArXbJea4J9cu2zQHB1h2woiJpaMMB6h3KTq7Bdh0g7XZz56fD1IMS1G4H23fAqxe/b245Rj3EIuF0sGMH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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 9bef6001-cd5c-4a87-86ca-d60ce0c8636d 1 250166c2-181d-43f7-84d6-b431aeca7a29 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 2c0308e1-28bc-4c67-be3c-9b72627be6f1 1 e8b5e115-8323-4ee9-86ab-acff863fc299 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 10072ca4-1b88-402e-9519-4eb0075b3552 ff61e05d-8499-42ec-88b0-655a6e7c02a5 c224342c-801f-4459-9224-44879ddf539f 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 9b0f3220-f524-4597-8004-73158c7fe09e e2aa490f-5efe-4d5f-ae12-c6bea9692948 743cfa93-b14b-46d1-a2a2-404b0f0db21f bade2dc2-5919-4723-bde3-ebdd9bc0713a 340eb253-1064-4693-a3de-5ffee5477fce 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 e8b5e115-8323-4ee9-86ab-acff863fc299 250166c2-181d-43f7-84d6-b431aeca7a29 618a62fc-c364-493f-afdf-61708b13caf2 388543c4-041b-413c-9cc4-ed5a5ff34151 82348a3c-9eea-4fc0-9a5b-cb872f5abbc5 a2fcf294-58d9-4486-bfa1-a9a3a8aa8dff e2e195fd-49d3-456b-92fb-68c4f2184a19 dfbd4830-30d1-4236-9600-fc514fa8836c 84ed4f5c-c495-4632-ab02-2d04a961e45f 1cbb6b9c-ea74-47e7-9bc8-21aaf33383af 20 dd0694b8-75ec-4cda-8bbb-4fb3895eacf0 Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 10072ca4-1b88-402e-9519-4eb0075b3552 true Duplicate Data Duplicate Data 5887 22660 104 64 5946 22692 1 Data to duplicate fb19da30-e146-4740-a7c2-6b7c4d922e65 true Data Data false 8dbea2e7-8016-4f48-a111-3632d6f14e6e 1 5889 22662 42 20 5911.5 22672 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 7aa09ab9-610b-4b1b-83f1-5d8a488e0c6e true Number Number false 5dd735ad-8c4e-4457-bd38-e14eee0646bf 1 5889 22682 42 20 5911.5 22692 1 1 {0} 500 Retain list order 4811e957-53a0-4847-b803-f4f5161085cf true Order Order false 0 5889 22702 42 20 5911.5 22712 1 1 {0} true 1 Duplicated data ea12780c-201c-472a-bbf0-053f94cd1092 true Data Data false 0 5961 22662 28 60 5976.5 22692 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true ff61e05d-8499-42ec-88b0-655a6e7c02a5 true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 5873 20732 116 44 5934 20754 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 41c0b509-5d0b-4d35-a470-b1f1b8ab9ea0 true Forward Forward true 1 true ea12780c-201c-472a-bbf0-053f94cd1092 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 5875 20734 44 20 5898.5 20744 1 false Script Variable Left 5a9c0544-ef18-4386-bafe-8b5f0cc05d61 true Left Left true 1 true 565bff87-c1f3-423f-ab95-05c38319cd6c 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 5875 20754 44 20 5898.5 20764 Print, Reflect and Error streams 383e0da6-9dca-4247-b671-a36bf30befdc true Output Output false 0 5949 20734 38 20 5969.5 20744 Output parameter Points 161c150e-386f-40f3-875a-4b3bb95765a2 true Points Points false 0 5949 20754 38 20 5969.5 20764 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 true Series Series 5884 21989 101 64 5934 22021 First number in the series 7860ca71-d430-444a-b399-bb5d98b69a01 true Start Start false 0 5886 21991 33 20 5904 22001 1 1 {0} 0 Step size for each successive number eed548b6-b3a2-4f26-bbe4-2a7f2f918f2f true Step Step false dbdc7d7c-dfd1-447c-8b12-a2be4e23352d 1 5886 22011 33 20 5904 22021 1 1 {0} 1 Number of values in the series 0b0c74f9-ecbb-47a0-9905-311b6d5f066c true Count Count false 5dd735ad-8c4e-4457-bd38-e14eee0646bf 1 5886 22031 33 20 5904 22041 1 Series of numbers e036b819-f3fa-49f8-bdc3-6d85e6bc4725 true Series Series false 0 5949 21991 34 60 5967.5 22021 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 9b0f3220-f524-4597-8004-73158c7fe09e true Number Slider false 0 5881 22886 150 20 5881.009 22886.01 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true e2aa490f-5efe-4d5f-ae12-c6bea9692948 true Radians Radians 5834 22231 120 28 5895 22245 Angle in degrees 8b0606a6-f486-491f-80ef-06b47d1f9a2d true Degrees Degrees false 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 1 5836 22233 44 24 5859.5 22245 Angle in radians c51817d3-3489-4bdf-baca-363dd1128013 true Radians Radians false 0 5910 22233 42 24 5932.5 22245 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 743cfa93-b14b-46d1-a2a2-404b0f0db21f true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 5812 22597 251 20 5812.381 22597.69 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 true Interpolate (t) Interpolate (t) 5859 19967 144 84 5945 20009 1 Interpolation points e5ebfcff-c93c-4298-8e26-a0568a88702f true Vertices Vertices false 8cb6586a-a146-45f7-b630-5c0b4f08febe 1 5861 19969 69 20 5897 19979 Tangent at start of curve 7967903d-9571-4a38-925c-b448f256c64d true Tangent Start Tangent Start false 0 5861 19989 69 20 5897 19999 1 1 {0} 0.0625 0 0 Tangent at end of curve 9f9f2229-477f-4142-b339-994e535cbe18 true Tangent End Tangent End false 0 5861 20009 69 20 5897 20019 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) fdaf3e1c-31ed-423e-a68b-3a6130502ce1 true KnotStyle KnotStyle false 0 5861 20029 69 20 5897 20039 1 1 {0} 2 Resulting nurbs curve 215d6723-c234-40af-90d3-d7c02d4a9b30 true Curve Curve false 0 5960 19969 41 26 5982 19982.33 Curve length e996e374-9cac-4b12-b02b-375aeec6d4a0 true Length Length false 0 5960 19995 41 27 5982 20009 Curve domain 56470385-083d-4abd-9fe3-0da8c97fb9fb true Domain Domain false 0 5960 20022 41 27 5982 20035.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 10072ca4-1b88-402e-9519-4eb0075b3552 ff61e05d-8499-42ec-88b0-655a6e7c02a5 c224342c-801f-4459-9224-44879ddf539f 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 9b0f3220-f524-4597-8004-73158c7fe09e e2aa490f-5efe-4d5f-ae12-c6bea9692948 743cfa93-b14b-46d1-a2a2-404b0f0db21f bade2dc2-5919-4723-bde3-ebdd9bc0713a 1a33f23c-ee59-41be-9968-ab9ba5ed2344 aaef31bd-73c8-416a-855d-34135f2666f7 ee53f26e-b430-492a-a353-5d2c5665ee75 77ee56bf-42ea-4de5-a9e1-55394398403b 9daec4e9-6644-4eb9-a65b-8b9266447b5b e89722ea-0b93-47ee-85d5-9f044bdbb649 5f7bf1f7-7ac1-4ce8-b2ff-bfe64aea7d55 32907c7d-0b14-4a93-8d8b-bcda3fc126b5 16 340eb253-1064-4693-a3de-5ffee5477fce Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true ac26602c-e82c-4bef-9524-454b72863af1 true Evaluate Length Evaluate Length 5859 19799 144 64 5933 19831 Curve to evaluate 1ea0fa26-3bc4-4bdc-bcef-305bff45e01e true Curve Curve false 215d6723-c234-40af-90d3-d7c02d4a9b30 1 5861 19801 57 20 5891 19811 Length factor for curve evaluation 0ba6df0b-3aad-4dc2-8fbd-0b9b5461f4c4 true Length Length false 0 5861 19821 57 20 5891 19831 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) bc494ee4-2a37-4cf5-9155-aed7e577c0cb true Normalized Normalized false 0 5861 19841 57 20 5891 19851 1 1 {0} true Point at the specified length f8421ffc-03f8-457f-be30-396d4a563c11 true Point Point false 0 5948 19801 53 20 5976 19811 Tangent vector at the specified length d4327f97-d104-49b5-a665-14febf21d1cb true Tangent Tangent false 0 5948 19821 53 20 5976 19831 Curve parameter at the specified length bd37eac4-2fdc-4a37-8c90-9fc89c360537 true Parameter Parameter false 0 5948 19841 53 20 5976 19851 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true f11ea47f-2a3f-487e-8d64-d49319b4ef03 true Mirror Mirror 5862 19737 138 44 5930 19759 Base geometry 0b0e267f-50c2-46e3-a547-e213de0040ee true Geometry Geometry true 215d6723-c234-40af-90d3-d7c02d4a9b30 1 5864 19739 51 20 5891 19749 Mirror plane 182f41c6-3900-4b33-8426-d59b645241ba true Plane Plane false f3ab1c49-edf7-4c0e-bbb8-ebbafb2fca87 1 5864 19759 51 20 5891 19769 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry ed4f8aba-2319-4a97-9ef9-4db96e350522 true Geometry Geometry false 0 5945 19739 53 20 5973 19749 Transformation data c12c39c1-08b5-4f4a-ab32-47160c6eb15b true Transform Transform false 0 5945 19759 53 20 5973 19769 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 2f644ecf-a9a9-4c3e-a587-89788beee78a true Line SDL Line SDL 5878 19883 106 64 5942 19915 Line start point 6e2f9f46-f1fe-47fc-9c66-c13d55980f30 true Start Start false f8421ffc-03f8-457f-be30-396d4a563c11 1 5880 19885 47 20 5905 19895 Line tangent (direction) 053e29e6-ea1b-419c-8a03-c214a1d318eb true Direction Direction false d4327f97-d104-49b5-a665-14febf21d1cb 1 5880 19905 47 20 5905 19915 1 1 {0} 0 0 1 Line length 75bee7b4-76a2-480b-b13c-fa418683c2fa true Length Length false 0 5880 19925 47 20 5905 19935 1 1 {0} 1 Line segment f3ab1c49-edf7-4c0e-bbb8-ebbafb2fca87 true Line Line false 0 5957 19885 25 60 5971 19915 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 7b8954c2-fa1f-4d7d-9348-0ac962ebb8d6 true Join Curves Join Curves 5872 19675 118 44 5935 19697 1 Curves to join ccdd2b02-99c1-432c-b323-c828feeaaa68 true Curves Curves false 215d6723-c234-40af-90d3-d7c02d4a9b30 ed4f8aba-2319-4a97-9ef9-4db96e350522 2 5874 19677 46 20 5898.5 19687 Preserve direction of input curves d8f01d8d-9387-41db-b68e-b9dbc7655f66 true Preserve Preserve false 0 5874 19697 46 20 5898.5 19707 1 1 {0} false 1 Joined curves and individual curves that could not be joined. bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 true Curves Curves false 0 5950 19677 38 40 5970.5 19697 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 1a4d4b49-cdcb-401f-bab1-69d3c0e7709b true Evaluate Length Evaluate Length 5859 19591 144 64 5933 19623 Curve to evaluate e588df7e-9281-460c-8919-b325533ff874 true Curve Curve false bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 1 5861 19593 57 20 5891 19603 Length factor for curve evaluation 20baaadf-0381-4733-8c76-d1cafe4b4336 true Length Length false 0 5861 19613 57 20 5891 19623 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 78c5d0e7-dfb4-4a4a-ba97-4237c7cf0a9e true Normalized Normalized false 0 5861 19633 57 20 5891 19643 1 1 {0} true Point at the specified length 7adddac8-2bcf-442a-ab1b-72f007518d68 true Point Point false 0 5948 19593 53 20 5976 19603 Tangent vector at the specified length 133cc957-03a4-4b91-9155-e967d46f4a53 true Tangent Tangent false 0 5948 19613 53 20 5976 19623 Curve parameter at the specified length f8b074c7-b0d9-411e-a8b4-4bf5621edeb2 true Parameter Parameter false 0 5948 19633 53 20 5976 19643 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 1418861d-2e73-4275-8864-69218f9321f8 true Rotate Rotate 5862 19508 138 64 5930 19540 Base geometry 3df26992-9941-4ded-80d5-f690cbefee29 true Geometry Geometry true bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 1 5864 19510 51 20 5891 19520 Rotation angle in radians 9a6ef232-212c-4129-a4c3-26e13a562d33 true Angle Angle false 0 false 5864 19530 51 20 5891 19540 1 1 {0} 3.1415926535897931 Rotation plane 9ea241bf-558a-43c9-a093-87d7d249742b true Plane Plane false 7adddac8-2bcf-442a-ab1b-72f007518d68 1 5864 19550 51 20 5891 19560 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry ed83845b-f6de-46a4-a32f-237d297ea3ed true Geometry Geometry false 0 5945 19510 53 30 5973 19525 Transformation data 76c8fecf-1675-4dc2-88aa-47d194544fd2 true Transform Transform false 0 5945 19540 53 30 5973 19555 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 5ae7df34-6f59-4159-bf33-ff881937aaad true Join Curves Join Curves 5872 19445 118 44 5935 19467 1 Curves to join c514cb69-9d5f-48aa-a000-8d16f5c086f1 true Curves Curves false bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 ed83845b-f6de-46a4-a32f-237d297ea3ed 2 5874 19447 46 20 5898.5 19457 Preserve direction of input curves 2f7143d6-5da4-424f-b4d6-37a01f38da24 true Preserve Preserve false 0 5874 19467 46 20 5898.5 19477 1 1 {0} false 1 Joined curves and individual curves that could not be joined. d1a174ae-96f5-4751-ae05-dd2514b98bec true Curves Curves false 0 5950 19447 38 40 5970.5 19467 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 ac26602c-e82c-4bef-9524-454b72863af1 f11ea47f-2a3f-487e-8d64-d49319b4ef03 2f644ecf-a9a9-4c3e-a587-89788beee78a 7b8954c2-fa1f-4d7d-9348-0ac962ebb8d6 1a4d4b49-cdcb-401f-bab1-69d3c0e7709b 1418861d-2e73-4275-8864-69218f9321f8 5ae7df34-6f59-4159-bf33-ff881937aaad 2ef4538c-fc81-4634-8f8a-fec6097d3e04 707cf740-02e9-4c63-8e3b-3db59c713c92 a443a10c-cbaf-498b-a1e4-e539f45fe4fe 8cb6586a-a146-45f7-b630-5c0b4f08febe 6e9d3bc2-d3f1-44b3-993f-98f642a4acb6 572e5b45-03cb-4ab7-ab9e-78dc75221447 599c60ab-44a9-4f44-970e-fc9c25ddd6e4 15 2c0308e1-28bc-4c67-be3c-9b72627be6f1 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d7d9e988-3dfc-417d-97a3-4c58e3d2f7a5 true Panel false 0 d546a55d-2bc1-491a-a8e8-69a9ad7144ab 1 Double click to edit panel content… 5865 22084 145 20 0 0 0 5865.91 22084.2 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 2ef4538c-fc81-4634-8f8a-fec6097d3e04 true Curve Curve false d1a174ae-96f5-4751-ae05-dd2514b98bec 1 5914 19411 50 24 5939.49 19423.76 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 2ef4538c-fc81-4634-8f8a-fec6097d3e04 1 fe5a739c-c046-49a7-a451-c8e3f50b7946 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values aaef31bd-73c8-416a-855d-34135f2666f7 true Panel false 0 0 0.35721403168191375/4/4 5720 22320 439 20 0 0 0 5720.471 22320.88 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 31dbc3e1-b3f2-4620-bbd4-0d38954f90ba true Evaluate Length Evaluate Length 5859 19319 144 64 5933 19351 Curve to evaluate 017b7074-512c-445c-b9fd-d1c12da25ce5 true Curve Curve false d1a174ae-96f5-4751-ae05-dd2514b98bec 1 5861 19321 57 20 5891 19331 Length factor for curve evaluation 3cd3a3c2-3846-48fc-ae1f-81d7a2deecd9 true Length Length false 0 5861 19341 57 20 5891 19351 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) fc6b20d6-2388-41ba-bed3-6a2fddbd762c true Normalized Normalized false 0 5861 19361 57 20 5891 19371 1 1 {0} true Point at the specified length 2000c00d-fa4d-437f-a942-43d585f5570d true Point Point false 0 5948 19321 53 20 5976 19331 Tangent vector at the specified length bd70a4df-143a-4834-919b-f11f2167e570 true Tangent Tangent false 0 5948 19341 53 20 5976 19351 Curve parameter at the specified length 90ef7c74-ca45-486e-bdbf-384f7afc392e true Parameter Parameter false 0 5948 19361 53 20 5976 19371 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true fea4f0c2-1987-4792-a0be-9d1d82221862 true Expression Expression 5834 19097 194 28 5934 19111 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 68cb0590-7e31-4a16-9c10-13eb2931b64a true Variable O O true f62c9084-a0c7-4e1e-ab21-230737cf544f 1 5836 19099 14 24 5844.5 19111 Result of expression facbb8ab-a37e-476f-8b4f-3c8e6a3c9cea true Result false 0 6017 19099 9 24 6023 19111 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 7090ecc1-3531-4766-ac7c-8e9cef149444 true Deconstruct Deconstruct 5865 19231 132 64 5912 19263 Input point b879cbc7-6088-4a28-ae15-165a59ef0380 true Point Point false 2000c00d-fa4d-437f-a942-43d585f5570d 1 5867 19233 30 60 5883.5 19263 Point {x} component f62c9084-a0c7-4e1e-ab21-230737cf544f true X component X component false 0 5927 19233 68 20 5962.5 19243 Point {y} component d1ae140f-fa3d-4384-9da2-de4f36727553 true Y component Y component false 0 5927 19253 68 20 5962.5 19263 Point {z} component 974137a1-7b82-45c5-b52b-6c45ea81670c true Z component Z component false 0 5927 19273 68 20 5962.5 19283 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 true Panel false 0 facbb8ab-a37e-476f-8b4f-3c8e6a3c9cea 1 Double click to edit panel content… 5858 19077 160 20 0 0 0 5858.262 19077.34 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 1cf97464-a3ba-483d-aacd-1defeb8b996d true Expression Expression 5834 19011 194 28 5934 19025 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d17bf718-c6a2-403e-aa01-ee49e87e9689 true Variable O O true d1ae140f-fa3d-4384-9da2-de4f36727553 1 5836 19013 14 24 5844.5 19025 Result of expression 6bfd1e1d-0caf-4d82-a8ec-46ae8e8448f5 true Result false 0 6017 19013 9 24 6023 19025 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 037e692a-0274-48f5-9028-92e8dd01ecf9 true Panel false 0 6bfd1e1d-0caf-4d82-a8ec-46ae8e8448f5 1 Double click to edit panel content… 5858 18988 160 20 0 0 0 5858.262 18988.91 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true cf7d8f9e-103e-4278-9f94-cc9dc6040910 true Division Division 5890 18909 82 44 5921 18931 Item to divide (dividend) 5fa4a655-41a0-4b66-ab1f-74ae7d40c047 true A A false ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 1 5892 18911 14 20 5900.5 18921 Item to divide with (divisor) 8fbf2033-8129-46df-b9e7-38738ca9f147 true B B false 037e692a-0274-48f5-9028-92e8dd01ecf9 1 5892 18931 14 20 5900.5 18941 The result of the Division 17fd6fac-4073-431e-a092-c23ce850f2ae true Result Result false 0 5936 18911 34 40 5954.5 18931 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3c0320ca-76da-4a43-9f92-f5a24feaa3e8 true Panel false 0 d546a55d-2bc1-491a-a8e8-69a9ad7144ab 1 Double click to edit panel content… 5858 18841 160 20 0 0 0 5858.5 18841.4 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true c15d0439-8785-451e-b33a-6060a8c82673 true Expression Expression 5834 18862 194 28 5934 18876 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable c78c4b76-dfa0-46de-a58d-6b685665b00a true Variable O O true 17fd6fac-4073-431e-a092-c23ce850f2ae 1 5836 18864 14 24 5844.5 18876 Result of expression c2198a85-46df-4ed2-a0f9-1d59313f2394 true Result false 0 6017 18864 9 24 6023 18876 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d546a55d-2bc1-491a-a8e8-69a9ad7144ab true Relay false c2198a85-46df-4ed2-a0f9-1d59313f2394 1 5911 18787 40 16 5931 18795 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 9e0146c9-9465-464a-8c71-4c227b37e74b true Addition Addition 5890 18724 82 44 5921 18746 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition 3be91c3c-bbc0-4b43-9d9d-af482060c3f0 true A A true 037e692a-0274-48f5-9028-92e8dd01ecf9 1 5892 18726 14 20 5900.5 18736 Second item for addition ae34d2b7-f589-4d31-a2b2-071a073dd5da true B B true ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 1 5892 18746 14 20 5900.5 18756 Result of addition 0620b709-15fb-448a-9a29-14dffb29450e true Result Result false 0 5936 18726 34 40 5954.5 18746 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true c058f429-bb56-407b-8e90-66ad866517fe true Division Division 5890 18574 82 44 5921 18596 Item to divide (dividend) 54a16385-0409-4e5a-a467-5b96189d9782 true A A false 27b5a25c-74ec-428b-a6e2-d679e706dae5 1 5892 18576 14 20 5900.5 18586 Item to divide with (divisor) 379e914e-8856-49a8-9166-d8574632e259 true B B false 0 5892 18596 14 20 5900.5 18606 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division f97c3e82-8700-4b97-a206-eb4190902091 true Result Result false 0 5936 18576 34 40 5954.5 18596 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 66ca720b-a535-4a17-9de8-eb1cb4ce99db true Expression Expression 5834 18526 194 28 5934 18540 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 47aaedb0-ce00-426d-9a0b-7221bfc03eb7 true Variable O O true f97c3e82-8700-4b97-a206-eb4190902091 1 5836 18528 14 24 5844.5 18540 Result of expression c80408c1-ec91-40f8-be07-d0484a71820f true Result false 0 6017 18528 9 24 6023 18540 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b81bdd29-15f2-48a9-a4f7-c1c02f788be1 true Panel false 0 c80408c1-ec91-40f8-be07-d0484a71820f 1 Double click to edit panel content… 5858 18505 160 20 0 0 0 5858.262 18505.26 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 27b5a25c-74ec-428b-a6e2-d679e706dae5 true Panel false 0 b9bf7219-694e-4068-8551-f2a66a378342 1 Double click to edit panel content… 5858 18657 160 20 0 0 0 5858.262 18657.17 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e0ef5a92-0696-4a92-a1ff-b31e6ffc2105 true Expression Expression 5834 18677 194 28 5934 18691 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable c32e4b6a-971c-448c-aba2-64940b4081ec true Variable O O true 0620b709-15fb-448a-9a29-14dffb29450e 1 5836 18679 14 24 5844.5 18691 Result of expression b9bf7219-694e-4068-8551-f2a66a378342 true Result false 0 6017 18679 9 24 6023 18691 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 009f818e-acd6-4a86-a0ba-7e464cb6d83e true Scale Scale 5854 18403 154 64 5938 18435 Base geometry 72f9a58a-9d55-4c18-8317-ebad6b4b76c5 true Geometry Geometry true 2ef4538c-fc81-4634-8f8a-fec6097d3e04 1 5856 18405 67 20 5899 18415 Center of scaling d2d9ad33-b7c4-440f-a15b-db1ce6bf96f3 true Center Center false 0 5856 18425 67 20 5899 18435 1 1 {0} 0 0 0 Scaling factor 51dba270-8cbb-464c-b4c9-b52036498db9 1/X true Factor Factor false b81bdd29-15f2-48a9-a4f7-c1c02f788be1 1 5856 18445 67 20 5899 18455 1 1 {0} 0.5 Scaled geometry 184a3679-023f-40c3-b89e-5f6ed06d0ee7 true Geometry Geometry false 0 5953 18405 53 30 5981 18420 Transformation data f39349a6-aeea-4426-a86a-0f0157430c23 true Transform Transform false 0 5953 18435 53 30 5981 18450 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 3f1947f1-3f92-4e10-b16a-63d868183413 true Curve Curve false 184a3679-023f-40c3-b89e-5f6ed06d0ee7 1 5912 17810 50 24 5937.24 17822.76 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 2464e3ca-4c50-4e2b-a0b0-c68dbb7273fa true Expression Expression 5834 19184 194 28 5934 19198 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 85958977-75d3-4542-be7e-5fc030196914 true Variable O O true 974137a1-7b82-45c5-b52b-6c45ea81670c 1 5836 19186 14 24 5844.5 19198 Result of expression fa239440-cb23-4301-8d8d-299436021665 true Result false 0 6017 19186 9 24 6023 19198 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ae24fa51-d8c0-4afe-b40c-6e828df05168 true Panel false 0 fa239440-cb23-4301-8d8d-299436021665 1 Double click to edit panel content… 5859 19163 160 20 0 0 0 5859.131 19163.11 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 4b84a47d-8707-4785-9e1f-8ecac64bab68 true Evaluate Length Evaluate Length 5859 18193 144 64 5933 18225 Curve to evaluate 04b11080-6967-43d9-9e84-196c7413903f true Curve Curve false 184a3679-023f-40c3-b89e-5f6ed06d0ee7 1 5861 18195 57 20 5891 18205 Length factor for curve evaluation 737f6667-083c-4821-a33c-e6a4ae9d1dcf true Length Length false 0 5861 18215 57 20 5891 18225 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) f7110bcc-db11-4d80-b833-247e764b6c67 true Normalized Normalized false 0 5861 18235 57 20 5891 18245 1 1 {0} true Point at the specified length 0f7fa351-89e8-4acb-b60e-24fe08937ff7 true Point Point false 0 5948 18195 53 20 5976 18205 Tangent vector at the specified length 56a66567-5d9b-48e4-a136-be460e1f71ea true Tangent Tangent false 0 5948 18215 53 20 5976 18225 Curve parameter at the specified length 90f6a9cf-fa2a-4081-a32f-88917f002c13 true Parameter Parameter false 0 5948 18235 53 20 5976 18245 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true b0aaa12f-bb5e-4257-afa2-7f461529d19d true Expression Expression 5834 17976 194 28 5934 17990 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 462070de-5d45-4b86-99c5-6d81ff4c0eb5 true Variable O O true 1eaf5da9-96cc-46ee-8bb3-20b58ba1cf32 1 5836 17978 14 24 5844.5 17990 Result of expression 0044d138-c973-4e92-a9bb-b6c6ec670aca true Result false 0 6017 17978 9 24 6023 17990 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true b91be93c-2fa3-48dd-b1a3-b2e69034d78d true Deconstruct Deconstruct 5865 18110 132 64 5912 18142 Input point c615b5ea-29f7-465a-9632-bbd6af125c47 true Point Point false 0f7fa351-89e8-4acb-b60e-24fe08937ff7 1 5867 18112 30 60 5883.5 18142 Point {x} component 1eaf5da9-96cc-46ee-8bb3-20b58ba1cf32 true X component X component false 0 5927 18112 68 20 5962.5 18122 Point {y} component 544f07cd-40af-4581-aad0-0556691f2ea1 true Y component Y component false 0 5927 18132 68 20 5962.5 18142 Point {z} component ccde3ec4-dcef-4019-8fb0-c8ea05cb3b2e true Z component Z component false 0 5927 18152 68 20 5962.5 18162 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ad8fd811-5c9a-46f2-9fb7-8c44f5b74452 true Panel false 0 0044d138-c973-4e92-a9bb-b6c6ec670aca 1 Double click to edit panel content… 5858 17950 160 20 0 0 0 5858.512 17950.69 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true fd69c204-0c56-441a-9cfb-4ac882600323 true Expression Expression 5834 17890 194 28 5934 17904 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 35de56ec-ff75-4d33-b5e5-2fca9f8ae3e2 true Variable O O true 544f07cd-40af-4581-aad0-0556691f2ea1 1 5836 17892 14 24 5844.5 17904 Result of expression dfe38a25-7dd8-4fb5-acb0-9644a6f36a0c true Result false 0 6017 17892 9 24 6023 17904 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 92e72eb1-7b34-42e4-a86f-53dfdd6ea022 true Panel false 0 dfe38a25-7dd8-4fb5-acb0-9644a6f36a0c 1 Double click to edit panel content… 5858 17865 160 20 0 0 0 5858.521 17865.05 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 8b88901b-aaba-44b8-81de-4fed9c5db99a true Expression Expression 5834 18062 194 28 5934 18076 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 8c02de58-e46e-4c56-a3e6-c49c3b2d1a0a true Variable O O true ccde3ec4-dcef-4019-8fb0-c8ea05cb3b2e 1 5836 18064 14 24 5844.5 18076 Result of expression 1a3008c4-e9f4-4cfc-b1d8-1c63ea80af16 true Result false 0 6017 18064 9 24 6023 18076 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8d5e42f0-3482-4f51-9626-68ebbefdbab9 true Panel false 0 1a3008c4-e9f4-4cfc-b1d8-1c63ea80af16 1 Double click to edit panel content… 5858 18036 160 20 0 0 0 5858.262 18036.9 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ee53f26e-b430-492a-a353-5d2c5665ee75 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 5749 22391 379 104 0 0 0 5749.92 22391.35 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 84ed4f5c-c495-4632-ab02-2d04a961e45f true Panel false 0 076e6bde-59eb-4495-954f-32cc722c01f7 1 Double click to edit panel content… 5770 20400 337 276 0 0 0 5770.451 20400.68 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 1cbb6b9c-ea74-47e7-9bc8-21aaf33383af true Expression Expression 5834 20684 194 28 5934 20698 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 14351e2d-a352-4dce-a30d-13f7b0c811f1 true Variable O O true 161c150e-386f-40f3-875a-4b3bb95765a2 1 5836 20686 14 24 5844.5 20698 Result of expression 076e6bde-59eb-4495-954f-32cc722c01f7 true Result false 0 6017 20686 9 24 6023 20698 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 5dd735ad-8c4e-4457-bd38-e14eee0646bf true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 5930 22858 50 24 5955.176 22870.44 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true 618a62fc-c364-493f-afdf-61708b13caf2 true Curve Graph Mapper Curve Graph Mapper 5762 20966 160 224 5830 21078 1 One or multiple graph curves to graph map values with 30b94f63-80e3-46eb-98e9-3c3e8b625162 true Curves Curves false 624d5142-3538-43e0-9a46-2e1a2f57615b 1 5764 20968 51 27 5791 20981.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary 89e8bf0d-5a1b-4579-aa8b-c40c0b64c8ac true Rectangle Rectangle false 23201971-5f33-4f3e-8662-ab5c2cd1851a 1 5764 20995 51 28 5791 21009.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 3ab6664c-ea47-49cd-94ae-ddc13814c381 true Values Values false e036b819-f3fa-49f8-bdc3-6d85e6bc4725 1 5764 21023 51 27 5791 21036.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) b55b9aa4-6a35-4151-a4f8-d6856280c28c true X Axis X Axis true 0 5764 21050 51 28 5791 21064.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 0e8b6341-5fbc-435e-b204-0111030a5334 true Y Axis Y Axis true 0 5764 21078 51 27 5791 21091.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph 15cc15a9-a0ac-42ba-8d51-6db59b75b64f true Flip Flip false 0 5764 21105 51 28 5791 21119.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle f811727c-4432-4bb5-98f9-0e6bfcbc5413 true Snap Snap false 0 5764 21133 51 27 5791 21146.75 1 1 {0} true Size of the graph labels 123f00a9-3a73-408e-8986-ac51296a0933 true Text Size Text Size false 0 5764 21160 51 28 5791 21174.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis cd26c477-21f3-4756-b42c-f25fb8559b0c true Mapped Mapped false 0 5845 20968 75 20 5884 20978 1 The graph curves inside the boundary of the graph 488e562d-f51b-431f-9cd4-32b75f4a4531 true Graph Curves Graph Curves false 0 5845 20988 75 20 5884 20998 1 The points on the graph curves where the X Axis input values intersected true f131d75e-82da-4322-a877-3cd4f19f3ab8 true Graph Points Graph Points false 0 5845 21008 75 20 5884 21018 1 The lines from the X Axis input values to the graph curves true 2393337e-eb0e-4ca3-9f48-4951c23a8484 true Value Lines Value Lines false 0 5845 21028 75 20 5884 21038 1 The points plotted on the X Axis which represent the input values true f095fbac-7580-48bb-9033-b5757e4254f3 true Value Points Value Points false 0 5845 21048 75 20 5884 21058 1 The lines from the graph curves to the Y Axis graph mapped values true 3d548f04-039f-4143-bdb9-a6dddb1fff0b true Mapped Lines Mapped Lines false 0 5845 21068 75 20 5884 21078 1 The points mapped on the Y Axis which represent the graph mapped values true d827530a-d295-41c2-9e5b-00a1805a190d true Mapped Points Mapped Points false 0 5845 21088 75 20 5884 21098 The graph boundary background as a surface 3e91de9e-c0af-4a1d-936a-eda5f318c63b true Boundary Boundary false 0 5845 21108 75 20 5884 21118 1 The graph labels as curve outlines b955bf99-0df6-4012-977f-ed05dd73e4c4 true Labels Labels false 0 5845 21128 75 20 5884 21138 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds 15d407f3-3440-40ae-b4c5-790a7b029d62 true Out Of Bounds Out Of Bounds false 0 5845 21148 75 20 5884 21158 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve c3d3d2b6-152e-4f14-b52a-36b6ccd4fec6 true Intersected Intersected false 0 5845 21168 75 20 5884 21178 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 388543c4-041b-413c-9cc4-ed5a5ff34151 true End Points End Points 5883 21391 96 44 5933 21413 Curve to evaluate 2520b0bf-c202-41d7-a18c-b1bc156b4196 true Curve Curve false 624d5142-3538-43e0-9a46-2e1a2f57615b 1 5885 21393 33 40 5903 21413 Curve start point ae385d39-43eb-4be6-b31f-5b4f6e27a106 true Start Start false 0 5948 21393 29 20 5964 21403 Curve end point 317e52fb-06e3-4a76-8f15-76072e971ed0 true End End false 0 5948 21413 29 20 5964 21423 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 82348a3c-9eea-4fc0-9a5b-cb872f5abbc5 true Rectangle 2Pt Rectangle 2Pt 5873 21263 126 84 5931 21305 Rectangle base plane deb3af6d-a95a-4920-b2f1-417300344b2a true Plane Plane false 0 5875 21265 41 20 5897 21275 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. b29a199f-8a2c-454e-93a1-57a6658caffa true Point A Point A false ae385d39-43eb-4be6-b31f-5b4f6e27a106 1 5875 21285 41 20 5897 21295 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 6009e3bd-33f7-4347-9862-b289fa84366d true Point B Point B false 317e52fb-06e3-4a76-8f15-76072e971ed0 1 5875 21305 41 20 5897 21315 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius e5da011e-edbf-421e-b1a2-e091044e4872 true Radius Radius false 0 5875 21325 41 20 5897 21335 1 1 {0} 0 Rectangle defined by P, A and B 23201971-5f33-4f3e-8662-ab5c2cd1851a true Rectangle Rectangle false 0 5946 21265 51 40 5973 21285 Length of rectangle curve 69e5b0cf-7c4a-4dbc-96d3-fb8448932a87 true Length Length false 0 5946 21305 51 40 5973 21325 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true a2fcf294-58d9-4486-bfa1-a9a3a8aa8dff true GraphMapper+ GraphMapper+ true 5922 21086 126 104 5989 21138 External curve as a graph da39b5ab-edbb-46ed-8a11-f79ba73d4723 true Curve Curve false 624d5142-3538-43e0-9a46-2e1a2f57615b 1 5924 21088 50 20 5950.5 21098 Optional Rectangle boundary. If omitted the curve's would be landed 3945667c-564a-4471-8a59-a307b926916d true Boundary Boundary true 23201971-5f33-4f3e-8662-ab5c2cd1851a 1 5924 21108 50 20 5950.5 21118 1 List of input numbers d184cb1e-a243-4ded-92f7-6aa511a1dec5 true Numbers Numbers false e036b819-f3fa-49f8-bdc3-6d85e6bc4725 1 5924 21128 50 20 5950.5 21138 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 66d1e029-7c05-47a6-8bcf-886e06184999 true Input Input true a90de09f-63e5-4d06-84a3-2847e4c77a02 1 5924 21148 50 20 5950.5 21158 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 6841fadc-0840-43f8-8bdc-551a45e2244a true Output Output true a90de09f-63e5-4d06-84a3-2847e4c77a02 1 5924 21168 50 20 5950.5 21178 1 Output Numbers 318c3e92-4338-45ae-a12f-3900644e4fe3 true Number Number false 0 6004 21088 42 100 6026.5 21138 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true e2e195fd-49d3-456b-92fb-68c4f2184a19 true Stream Filter Stream Filter 5897 20883 89 64 5942 20915 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 8a76d2df-8165-40c8-afc5-cd90eb58936d true Gate Gate false 96b65f86-5d49-47f7-858f-e222f23b0d11 1 5899 20885 28 20 5914.5 20895 1 1 {0} 0 2 Input stream at index 0 3cd42460-c6df-41bd-a61b-ae3ea1ac12e6 true false Stream 0 0 true cd26c477-21f3-4756-b42c-f25fb8559b0c 1 5899 20905 28 20 5914.5 20915 2 Input stream at index 1 4364f945-e520-4930-becc-8433bdeb21df true false Stream 1 1 true 318c3e92-4338-45ae-a12f-3900644e4fe3 1 5899 20925 28 20 5914.5 20935 2 Filtered stream 565bff87-c1f3-423f-ab95-05c38319cd6c true false Stream S(1) false 0 5957 20885 27 60 5972 20915 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values dfbd4830-30d1-4236-9600-fc514fa8836c true Number Slider false 0 5874 20805 150 20 5874.881 20805.28 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 77ee56bf-42ea-4de5-a9e1-55394398403b true Panel false 1 0b7df59e-e9c0-4d51-8e88-5dccef34a90b 1 Double click to edit panel content… 5848 21587 185 271 0 0 0 5848.951 21587.55 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 1a33f23c-ee59-41be-9968-ab9ba5ed2344 true Bounds Bounds 5872 21530 122 28 5936 21544 1 Numbers to include in Bounds 45c649d5-f023-4ca6-8f1e-e319ec8e5989 true Numbers Numbers false e036b819-f3fa-49f8-bdc3-6d85e6bc4725 1 5874 21532 47 24 5899 21544 Numeric Domain between the lowest and highest numbers in {N} a90de09f-63e5-4d06-84a3-2847e4c77a02 true Domain Domain false 0 5951 21532 41 24 5973 21544 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 9daec4e9-6644-4eb9-a65b-8b9266447b5b true Expression Expression 5834 21944 194 28 5934 21958 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable af57daa0-47ac-4c6e-8f04-590e904057a6 true Variable O O true e036b819-f3fa-49f8-bdc3-6d85e6bc4725 1 5836 21946 14 24 5844.5 21958 Result of expression 0b7df59e-e9c0-4d51-8e88-5dccef34a90b true Result false 0 6017 21946 9 24 6023 21958 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 5ab81b8c-dd2e-4b73-8d51-75bf39f3397d true Expression Expression 5748 22176 367 28 5934 22190 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 6823ae57-746b-4d1c-9908-4f2783f92320 true Variable O O true c51817d3-3489-4bdf-baca-363dd1128013 1 5750 22178 14 24 5758.5 22190 Result of expression d7fd5e8b-1c9f-4987-a795-6ba9eb43583f true Result false 0 6104 22178 9 24 6110 22190 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values dbdc7d7c-dfd1-447c-8b12-a2be4e23352d true Panel false 0 d7fd5e8b-1c9f-4987-a795-6ba9eb43583f 1 Double click to edit panel content… 5849 22124 179 20 0 0 0 5849.09 22124.42 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 3f1947f1-3f92-4e10-b16a-63d868183413 1 0d8169a8-cfe0-468d-a1be-f07fa24df9d8 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 76ca0f6d-8ba8-4ef0-8775-01969890a3b5 true Scale Scale 5854 18318 154 64 5938 18350 Base geometry 65a67567-cd85-400b-8ed1-8bba38840797 true Geometry Geometry true 8cb6586a-a146-45f7-b630-5c0b4f08febe 1 5856 18320 67 20 5899 18330 Center of scaling 7e8c75c5-c6f1-4dc3-bc25-c99ae436fd9c true Center Center false 0 5856 18340 67 20 5899 18350 1 1 {0} 0 0 0 Scaling factor 131ded55-107b-4eae-a6a0-837b3de9ca7e 1/X true Factor Factor false b81bdd29-15f2-48a9-a4f7-c1c02f788be1 1 5856 18360 67 20 5899 18370 1 1 {0} 0.5 Scaled geometry 00032961-ed79-4d24-b422-b15ce9aa1b1d true Geometry Geometry false 0 5953 18320 53 30 5981 18335 Transformation data 4004b560-b79e-4fcb-a5ff-94f5cc742896 true Transform Transform false 0 5953 18350 53 30 5981 18365 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true c6c2efe1-f8cf-4896-bb6e-d683a17f3b5b true Point Point false 00032961-ed79-4d24-b422-b15ce9aa1b1d 1 5913 18288 50 24 5938.24 18300.94 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true bfd16498-8d15-4c7a-8272-1642d47087b4 true Mirror Mirror 5859 17518 138 44 5927 17540 Base geometry c735e74d-6fe6-4495-b999-ba4956ef5de0 true Geometry Geometry true 3f1947f1-3f92-4e10-b16a-63d868183413 1 5861 17520 51 20 5888 17530 Mirror plane 71fa7d04-716a-415a-bd17-0d5df78c1287 true Plane Plane false 0 5861 17540 51 20 5888 17550 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 1e943a47-c054-4533-9090-32f464ea2477 true Geometry Geometry false 0 5942 17520 53 20 5970 17530 Transformation data 461c84b6-1703-4d48-a5b0-e4b87d914786 true Transform Transform false 0 5942 17540 53 20 5970 17550 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 992f34c0-9384-4928-b69f-b6f1ae913f03 true Curve Curve false cde8ca26-88e4-411a-8832-a0f9f2b8efd8 1 5912 17419 50 24 5937.49 17431.94 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 624d5142-3538-43e0-9a46-2e1a2f57615b true Relay false aa6adbaa-932b-42e7-99a8-17690d6af46c 1 5911 21462 40 16 5931 21470 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 797ad11f-349e-4536-9541-cc752a7f0661 true Curve Curve false c035a839-8867-4a62-ac47-bf237dd115c4 1 5461 21846 50 24 5486.286 21858.88 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true aa6adbaa-932b-42e7-99a8-17690d6af46c true Curve Curve false 3abe96e1-be0e-4180-b824-17f6b49c4563 1 5461 21565 50 24 5486.387 21577.21 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 423dd1e6-3a04-416e-b177-f9fcf9efba03 true Scale Scale 5402 21595 154 64 5486 21627 Base geometry 166ab929-4563-4e71-9a2d-685b0cd645e9 true Geometry Geometry true 797ad11f-349e-4536-9541-cc752a7f0661 1 5404 21597 67 20 5447 21607 Center of scaling 82c8209f-62af-4ca6-a343-13139207abb3 true Center Center false 0 5404 21617 67 20 5447 21627 1 1 {0} 0 0 0 Scaling factor 2cd173c0-7ce1-42f6-94f5-23af7e9368bb 2^X true Factor Factor false 9b841fa1-df46-463a-8a58-7dc4660c77b4 1 5404 21637 67 20 5447 21647 1 1 {0} 1 Scaled geometry 3abe96e1-be0e-4180-b824-17f6b49c4563 true Geometry Geometry false 0 5501 21597 53 30 5529 21612 Transformation data 046226a4-d7f8-4d5d-b2bf-14cd7451e3b4 true Transform Transform false 0 5501 21627 53 30 5529 21642 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 797ad11f-349e-4536-9541-cc752a7f0661 aa6adbaa-932b-42e7-99a8-17690d6af46c 423dd1e6-3a04-416e-b177-f9fcf9efba03 27899f96-8899-44d3-a06c-50d23c4c5623 95f5eb60-9a7d-494e-b6d6-1f4e4545765b 961a7622-509b-4acc-96e7-d08da2d19800 b3aa515d-00b6-459e-9b0a-9eb604062316 c0aa9751-62ad-49b3-9990-bd1901aec0b1 4d5a9053-ffac-48e1-8beb-ffdc31f04bbf 2f2b26be-424b-4849-9820-1517475330af 10 ae01f5b0-72e5-4d2e-b986-97be69ba9e94 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true a9c820c4-d23b-4376-8473-a53dcbb1a46c true Move Move 5859 17454 138 44 5927 17476 Base geometry 5d20c475-88b4-4d34-8841-f7a822d159e7 true Geometry Geometry true 3f1947f1-3f92-4e10-b16a-63d868183413 1 5861 17456 51 20 5888 17466 Translation vector 65c4ac1c-5e6c-44f5-9d50-8aae299a3151 true Motion Motion false b753320c-2c8b-4e80-a4ab-50a7c4f3ace7 1 5861 17476 51 20 5888 17486 1 1 {0} 0 3 0 Translated geometry cde8ca26-88e4-411a-8832-a0f9f2b8efd8 true Geometry Geometry false 0 5942 17456 53 20 5970 17466 Transformation data 78e5636c-a3e0-40c9-a6cb-964b294e54b0 true Transform Transform false 0 5942 17476 53 20 5970 17486 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 95f5eb60-9a7d-494e-b6d6-1f4e4545765b true Digit Scroller false 0 12 2 30.9312132004 5361 21790 250 20 5361.686 21790.3 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 961a7622-509b-4acc-96e7-d08da2d19800 true Panel false 0 0 16.93121320041889709 5418 21689 144 20 0 0 0 5418.846 21689.92 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true b3aa515d-00b6-459e-9b0a-9eb604062316 true Curve Curve false 0 5461 21522 50 24 5486.387 21534.21 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true c0aa9751-62ad-49b3-9990-bd1901aec0b1 true Curve Curve false 0 5463 21979 50 24 5488.337 21991.05 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 1b52c30e-38eb-4b54-81c1-175c933929b5 1 ce8a4e5b-9b06-4346-8eac-8abafe65eba2 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects a3a59315-e267-4aed-a39a-7268f8037e96 1 96aeff2a-0486-418a-bb6f-efa7c70fc406 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 55e34e14-778f-4551-b0f6-e8048ee9ad94 9fb686ac-14c7-4630-8173-c477e863703d c224342c-801f-4459-9224-44879ddf539f 9c769439-ffcd-4cfb-950b-855f1c4a933b 804efc16-4473-4cee-a45d-a43056b33935 8d4113ae-a157-4929-9f46-cd13f33c78ff 9811c142-0f73-4ce7-a44a-409f6677caac bade2dc2-5919-4723-bde3-ebdd9bc0713a ca39bf69-1f22-4107-a155-1a412b05990d 0d02c7f9-645d-4eff-aa8b-42044e536d9a 96aeff2a-0486-418a-bb6f-efa7c70fc406 ce8a4e5b-9b06-4346-8eac-8abafe65eba2 7d55e7dc-f827-43b8-aa47-c9dd146598fd dba667c8-74dc-4a1c-8c1d-1520ea051571 464914e0-2900-4dca-aa88-05c9526638e9 69873ce1-1baf-454a-99ee-7b63778fffc3 389fe958-f5ce-4018-a63d-256b87398808 69930a87-8a03-4408-ae2c-9567e94f0b7c 1bdfd856-521c-417a-971c-0d51ccf78be5 e3edc1b6-5051-47a2-b2b7-c3711c58cd4f 20 5b6edc87-710c-4778-b371-0572f76a6eea Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 55e34e14-778f-4551-b0f6-e8048ee9ad94 true Duplicate Data Duplicate Data 7547 22644 104 64 7606 22676 1 Data to duplicate d17191a3-8cf7-4cdd-9a7a-873b3116691a true Data Data false 4e078a63-85c7-41a6-bd1b-5e79f349625e 1 7549 22646 42 20 7571.5 22656 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 496388b0-3050-4d70-aaa7-02b565d26119 true Number Number false 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 1 7549 22666 42 20 7571.5 22676 1 1 {0} 500 Retain list order 8fd7f3a7-6472-4242-b534-9a1ac53f36fd true Order Order false 0 7549 22686 42 20 7571.5 22696 1 1 {0} true 1 Duplicated data 80a18b86-c32d-4785-80b8-babca5c987f7 true Data Data false 0 7621 22646 28 60 7636.5 22676 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 9fb686ac-14c7-4630-8173-c477e863703d true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 7533 20716 116 44 7594 20738 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 300daab0-1c47-4f24-8f1e-532a6ec99e8b true Forward Forward true 1 true 80a18b86-c32d-4785-80b8-babca5c987f7 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 7535 20718 44 20 7558.5 20728 1 false Script Variable Left 17206028-4db8-439b-af7f-36a1883f5082 true Left Left true 1 true f3d645b5-0fac-4f20-a9f1-779c44fc248e 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 7535 20738 44 20 7558.5 20748 Print, Reflect and Error streams 9209a52b-7a61-4ae2-a1a0-1895279448b6 true Output Output false 0 7609 20718 38 20 7629.5 20728 Output parameter Points a61bb92d-8752-43bd-b0f3-9fe07f3d2ca7 true Points Points false 0 7609 20738 38 20 7629.5 20748 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 9c769439-ffcd-4cfb-950b-855f1c4a933b true Series Series 7544 21973 101 64 7594 22005 First number in the series 430e00ef-58a6-434d-b801-e76da3120453 true Start Start false 0 7546 21975 33 20 7564 21985 1 1 {0} 0 Step size for each successive number 6f766805-4bdd-4435-a0e9-674f281196e3 true Step Step false 5c04e166-bc57-46dc-a33b-d120622015af 1 7546 21995 33 20 7564 22005 1 1 {0} 1 Number of values in the series 8cb48179-9b4e-4e9d-b902-6fbd008cb5e3 true Count Count false 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 1 7546 22015 33 20 7564 22025 1 Series of numbers 9067d090-92be-43ef-b7ee-1948343ee84a true Series Series false 0 7609 21975 34 60 7627.5 22005 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 804efc16-4473-4cee-a45d-a43056b33935 true Number Slider false 0 7532 22916 150 20 7532.197 22916.72 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 8d4113ae-a157-4929-9f46-cd13f33c78ff true Radians Radians 7494 22215 120 28 7555 22229 Angle in degrees 7823d213-2a69-43a5-88aa-8605f015f541 true Degrees Degrees false 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 1 7496 22217 44 24 7519.5 22229 Angle in radians 637ed566-807c-46f7-812d-f13415712d2f true Radians Radians false 0 7570 22217 42 24 7592.5 22229 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 9811c142-0f73-4ce7-a44a-409f6677caac true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 7472 22582 251 20 7472.408 22582.4 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true 0d02c7f9-645d-4eff-aa8b-42044e536d9a true Interpolate (t) Interpolate (t) 7519 19951 144 84 7605 19993 1 Interpolation points 02d0d648-fe9d-4b52-921d-97151ed427b7 true Vertices Vertices false 30001983-c314-4c6c-88d3-45dee8332dbb 1 7521 19953 69 20 7557 19963 Tangent at start of curve 20888d93-d5e1-42f8-b897-38e8046f5339 true Tangent Start Tangent Start false 0 7521 19973 69 20 7557 19983 1 1 {0} 0.0625 0 0 Tangent at end of curve 3a74e7ac-076e-4e54-aadf-5813a78da55a true Tangent End Tangent End false 0 7521 19993 69 20 7557 20003 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) c87cd040-006c-4315-9e33-7fb11cedebb1 true KnotStyle KnotStyle false 0 7521 20013 69 20 7557 20023 1 1 {0} 2 Resulting nurbs curve 9508e098-ef16-4c0d-be88-998ab5655a4c true Curve Curve false 0 7620 19953 41 26 7642 19966.33 Curve length 35103367-48f6-4e56-b271-03e19ec0e187 true Length Length false 0 7620 19979 41 27 7642 19993 Curve domain 252af1a6-d359-4d5a-888b-c50e668843e5 true Domain Domain false 0 7620 20006 41 27 7642 20019.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 55e34e14-778f-4551-b0f6-e8048ee9ad94 9fb686ac-14c7-4630-8173-c477e863703d c224342c-801f-4459-9224-44879ddf539f 9c769439-ffcd-4cfb-950b-855f1c4a933b 804efc16-4473-4cee-a45d-a43056b33935 8d4113ae-a157-4929-9f46-cd13f33c78ff 9811c142-0f73-4ce7-a44a-409f6677caac bade2dc2-5919-4723-bde3-ebdd9bc0713a 0b55e68c-d601-4d71-a7f3-b1bff8c50ecb b16c7be5-f1f6-4ee1-9aa3-eb466cc5a884 ce4704df-7da3-42aa-b64f-e8f20157b818 6c3f0605-6ecc-4a04-a5cd-81072b39c4af 40543166-758e-4c68-bb76-3839522e6d80 1db267cd-0509-41e9-a6a8-e8deb71f75d9 928fca06-febb-4fb7-aab8-93abe69f5560 d0d4ab4a-e13c-4e54-8bf2-fdfe06c9fb13 16 ca39bf69-1f22-4107-a155-1a412b05990d Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 6dfa2e40-0b93-4d78-bfef-d1b0498ae063 true Evaluate Length Evaluate Length 7519 19783 144 64 7593 19815 Curve to evaluate 21b6b0f6-c220-4995-b9e1-0813c1ebbf75 true Curve Curve false 9508e098-ef16-4c0d-be88-998ab5655a4c 1 7521 19785 57 20 7551 19795 Length factor for curve evaluation 031fa92f-df30-4014-86eb-6b48f621f5f0 true Length Length false 0 7521 19805 57 20 7551 19815 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) c93fb2d4-f320-4885-a4b6-4f98c9d5e34c true Normalized Normalized false 0 7521 19825 57 20 7551 19835 1 1 {0} true Point at the specified length 94262e80-8dd0-445b-82f7-4d5a4ea30cbf true Point Point false 0 7608 19785 53 20 7636 19795 Tangent vector at the specified length 2cef40e5-8774-4d3f-b736-e2af82b1227e true Tangent Tangent false 0 7608 19805 53 20 7636 19815 Curve parameter at the specified length a3e21184-562d-4b3d-91ff-ad865b3f39be true Parameter Parameter false 0 7608 19825 53 20 7636 19835 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 6e32738f-b233-4380-b3f3-e003cdb73a30 true Mirror Mirror 7522 19721 138 44 7590 19743 Base geometry 297ad678-36e1-4063-84c9-bed9809f2ce0 true Geometry Geometry true 9508e098-ef16-4c0d-be88-998ab5655a4c 1 7524 19723 51 20 7551 19733 Mirror plane d484ee32-483a-4ae8-94bc-a2536ec9c7bc true Plane Plane false 0ce9c9df-40ef-46cb-85ac-7aa25e06b6e7 1 7524 19743 51 20 7551 19753 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry fbe59d4b-fa47-4c41-9d13-7c73982c69a3 true Geometry Geometry false 0 7605 19723 53 20 7633 19733 Transformation data a93274d2-c194-4c7a-bdd7-20377a0b466f true Transform Transform false 0 7605 19743 53 20 7633 19753 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 5fc5e35b-f787-42c4-8dcc-f1adcf4ff668 true Line SDL Line SDL 7538 19867 106 64 7602 19899 Line start point 10035cb2-c576-4150-8c6d-4aa8f587483e true Start Start false 94262e80-8dd0-445b-82f7-4d5a4ea30cbf 1 7540 19869 47 20 7565 19879 Line tangent (direction) 09b2a66b-84d1-493d-9a42-8ba243246987 true Direction Direction false 2cef40e5-8774-4d3f-b736-e2af82b1227e 1 7540 19889 47 20 7565 19899 1 1 {0} 0 0 1 Line length 6df394dc-5be4-4cee-93da-7367c2de9fe1 true Length Length false 0 7540 19909 47 20 7565 19919 1 1 {0} 1 Line segment 0ce9c9df-40ef-46cb-85ac-7aa25e06b6e7 true Line Line false 0 7617 19869 25 60 7631 19899 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 46747f67-4428-487c-a7b2-b8d0cd6b7843 true Join Curves Join Curves 7532 19659 118 44 7595 19681 1 Curves to join 61ad25ea-4890-4bd5-afd5-4eeb9bb0a980 true Curves Curves false 9508e098-ef16-4c0d-be88-998ab5655a4c fbe59d4b-fa47-4c41-9d13-7c73982c69a3 2 7534 19661 46 20 7558.5 19671 Preserve direction of input curves bdc69664-512f-487b-bc67-6c635792a4ce true Preserve Preserve false 0 7534 19681 46 20 7558.5 19691 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d true Curves Curves false 0 7610 19661 38 40 7630.5 19681 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 707358ec-acc2-4978-96df-dd2c5ef1712b true Evaluate Length Evaluate Length 7519 19575 144 64 7593 19607 Curve to evaluate 3011e852-77c3-4103-9629-d5df735bf5ba true Curve Curve false 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d 1 7521 19577 57 20 7551 19587 Length factor for curve evaluation d7b4a83c-18e8-4ca9-b6cc-c1ecb7f19d4e true Length Length false 0 7521 19597 57 20 7551 19607 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 6328dc9a-a51e-4f46-8273-06e986795e15 true Normalized Normalized false 0 7521 19617 57 20 7551 19627 1 1 {0} true Point at the specified length 934b8427-0c04-45cc-a176-c79b7fc8bb71 true Point Point false 0 7608 19577 53 20 7636 19587 Tangent vector at the specified length a7220f23-ed00-4b0a-8711-458051494285 true Tangent Tangent false 0 7608 19597 53 20 7636 19607 Curve parameter at the specified length deaf69f1-0aeb-4ff5-b784-c37d014b861e true Parameter Parameter false 0 7608 19617 53 20 7636 19627 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 3d2d5cc6-1866-4d03-aec5-a83e0a7fc247 true Rotate Rotate 7522 19492 138 64 7590 19524 Base geometry 8cdecb19-f747-4c6d-9d1e-3f6041fa3034 true Geometry Geometry true 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d 1 7524 19494 51 20 7551 19504 Rotation angle in radians eaa68737-e697-4c3f-bccd-d9e30813ac7d true Angle Angle false 0 false 7524 19514 51 20 7551 19524 1 1 {0} 3.1415926535897931 Rotation plane 7edece2a-d919-41e4-8de1-198a40ff22dc true Plane Plane false 934b8427-0c04-45cc-a176-c79b7fc8bb71 1 7524 19534 51 20 7551 19544 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry 1182dc2a-aaea-4fbf-a1fe-ea8d4113798d true Geometry Geometry false 0 7605 19494 53 30 7633 19509 Transformation data 0b0b1a8f-3821-458b-9d92-6bb2bc09d32a true Transform Transform false 0 7605 19524 53 30 7633 19539 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true fc0a22ac-f8b8-4e1a-8cb9-411342529415 true Join Curves Join Curves 7532 19429 118 44 7595 19451 1 Curves to join 178a5c6c-80ee-43e5-979d-a516d56935ab true Curves Curves false 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d 1182dc2a-aaea-4fbf-a1fe-ea8d4113798d 2 7534 19431 46 20 7558.5 19441 Preserve direction of input curves 4f5132ae-16fb-4c4a-9408-97658a62b936 true Preserve Preserve false 0 7534 19451 46 20 7558.5 19461 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 6fda1002-bf75-4295-91e2-57271e487305 true Curves Curves false 0 7610 19431 38 40 7630.5 19451 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 0d02c7f9-645d-4eff-aa8b-42044e536d9a 6dfa2e40-0b93-4d78-bfef-d1b0498ae063 6e32738f-b233-4380-b3f3-e003cdb73a30 5fc5e35b-f787-42c4-8dcc-f1adcf4ff668 46747f67-4428-487c-a7b2-b8d0cd6b7843 707358ec-acc2-4978-96df-dd2c5ef1712b 3d2d5cc6-1866-4d03-aec5-a83e0a7fc247 fc0a22ac-f8b8-4e1a-8cb9-411342529415 1c683cd3-d178-40f6-af46-51830c911e87 44b37048-c31c-4e55-aa4a-0a740586d36f 9a96a98b-9d42-4cd5-9284-e3ec69b5d0ba 30001983-c314-4c6c-88d3-45dee8332dbb 9f95dc08-d6f9-4d10-a5dd-ef1fc47e0022 c87e5f22-762f-485a-b818-05e9c603f0ea ddb6fc0a-d855-4568-a2d9-a2271d2cdc89 15 a3a59315-e267-4aed-a39a-7268f8037e96 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 135c614d-28b6-42e1-a219-d63d1c92b406 true Panel false 0 c72da2af-8375-4f8b-a200-edaf292758da 1 Double click to edit panel content… 7525 22068 145 20 0 0 0 7525.938 22068.91 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 1c683cd3-d178-40f6-af46-51830c911e87 true Curve Curve false 6fda1002-bf75-4295-91e2-57271e487305 1 7574 19396 50 24 7599.518 19408.47 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1c683cd3-d178-40f6-af46-51830c911e87 1 828d389f-4f26-4fd5-9d27-1eab46d2dbc2 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b16c7be5-f1f6-4ee1-9aa3-eb466cc5a884 true Panel false 0 0 0.35721403168191375/4/4 7380 22305 439 20 0 0 0 7380.498 22305.6 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true f7b89038-5175-49ed-97f0-fee8f703ec8f true Evaluate Length Evaluate Length 7519 19303 144 64 7593 19335 Curve to evaluate 35af2178-0d51-4a1f-825d-b3d9ed5efab6 true Curve Curve false 6fda1002-bf75-4295-91e2-57271e487305 1 7521 19305 57 20 7551 19315 Length factor for curve evaluation 7807ac5f-6891-46f7-b0d3-a191d9633399 true Length Length false 0 7521 19325 57 20 7551 19335 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 3058ccb8-c18f-4716-a520-7530b08fc5e9 true Normalized Normalized false 0 7521 19345 57 20 7551 19355 1 1 {0} true Point at the specified length afdeb27a-cb06-4fce-8d04-973ffb5ced6d true Point Point false 0 7608 19305 53 20 7636 19315 Tangent vector at the specified length 76a71cf1-cdcc-4cc9-b2be-8098b6eb2168 true Tangent Tangent false 0 7608 19325 53 20 7636 19335 Curve parameter at the specified length 3f9b874e-df35-4fc1-85bc-8361293efd48 true Parameter Parameter false 0 7608 19345 53 20 7636 19355 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 88d97611-26d5-435e-85e1-fdc01e1ae443 true Expression Expression 7494 19081 194 28 7594 19095 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 164d026b-9f2c-48ea-aadc-46f1f28f42ab true Variable O O true 23fe09ff-a145-40b0-a164-7d25b3eab274 1 7496 19083 14 24 7504.5 19095 Result of expression d459a91c-bc84-49c4-ab09-1c25aee006d6 true Result false 0 7677 19083 9 24 7683 19095 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 36dbebc4-a3c4-4ff6-a03c-7eed77105921 true Deconstruct Deconstruct 7525 19215 132 64 7572 19247 Input point 31552fb1-ba2d-4773-95f2-16293e7e1b6e true Point Point false afdeb27a-cb06-4fce-8d04-973ffb5ced6d 1 7527 19217 30 60 7543.5 19247 Point {x} component 23fe09ff-a145-40b0-a164-7d25b3eab274 true X component X component false 0 7587 19217 68 20 7622.5 19227 Point {y} component c76dbffb-3ad9-4777-b237-d91767fe372a true Y component Y component false 0 7587 19237 68 20 7622.5 19247 Point {z} component d825a26e-1046-43c4-aa72-ec8009512657 true Z component Z component false 0 7587 19257 68 20 7622.5 19267 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 235a8524-d28f-4b64-ac0c-a2c704f2e604 true Panel false 0 d459a91c-bc84-49c4-ab09-1c25aee006d6 1 Double click to edit panel content… 7518 19062 160 20 0 0 0 7518.289 19062.05 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 152ea8d2-dd91-4423-81d2-698f1b7be65a true Expression Expression 7494 18995 194 28 7594 19009 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable ee77447c-d43a-4ecc-b02d-01a82efdf9e4 true Variable O O true c76dbffb-3ad9-4777-b237-d91767fe372a 1 7496 18997 14 24 7504.5 19009 Result of expression ac4cc66d-7dae-4cf6-a661-a1ec65427859 true Result false 0 7677 18997 9 24 7683 19009 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 true Panel false 0 ac4cc66d-7dae-4cf6-a661-a1ec65427859 1 Double click to edit panel content… 7518 18973 160 20 0 0 0 7518.289 18973.63 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 7cf7d828-280e-4457-ba22-1fc72d61b0c9 true Division Division 7550 18893 82 44 7581 18915 Item to divide (dividend) 7e0dac2d-59c3-4ed8-85fc-83891c9743e8 true A A false 235a8524-d28f-4b64-ac0c-a2c704f2e604 1 7552 18895 14 20 7560.5 18905 Item to divide with (divisor) 3eabd983-4c97-47f2-b6a8-c03868b2bd3b true B B false 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 1 7552 18915 14 20 7560.5 18925 The result of the Division df8201ba-ce81-4d42-8a3c-95286d5a881c true Result Result false 0 7596 18895 34 40 7614.5 18915 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1b05147b-2872-4537-9a1b-888a55510d3d true Panel false 0 c72da2af-8375-4f8b-a200-edaf292758da 1 Double click to edit panel content… 7518 18826 160 20 0 0 0 7518.527 18826.12 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 51fe0398-fd36-4ce9-85b2-6385fdf8b946 true Expression Expression 7494 18846 194 28 7594 18860 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f372874c-f8d1-4176-831a-a15011ca750e true Variable O O true df8201ba-ce81-4d42-8a3c-95286d5a881c 1 7496 18848 14 24 7504.5 18860 Result of expression 0b7c9268-5511-409e-a1e0-df53778058fd true Result false 0 7677 18848 9 24 7683 18860 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c72da2af-8375-4f8b-a200-edaf292758da true Relay false 0b7c9268-5511-409e-a1e0-df53778058fd 1 7571 18771 40 16 7591 18779 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 56cccad3-2219-440f-8577-8a25cce2f6f2 true Addition Addition 7550 18708 82 44 7581 18730 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition e9a280bc-b029-4e39-b507-bb08a166b4c0 true A A true 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 1 7552 18710 14 20 7560.5 18720 Second item for addition 41071ba3-f34a-4bb7-bb6e-fdf43b31056b true B B true 235a8524-d28f-4b64-ac0c-a2c704f2e604 1 7552 18730 14 20 7560.5 18740 Result of addition 9c043701-2a90-4a63-9cef-403638fe3802 true Result Result false 0 7596 18710 34 40 7614.5 18730 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 6630b57b-b7bb-4b55-956e-65c0add88eed true Division Division 7550 18558 82 44 7581 18580 Item to divide (dividend) ec124671-51c1-4da6-8abc-521102851a7b true A A false 3c104a70-9abd-4da6-94c2-b50d2ed71e81 1 7552 18560 14 20 7560.5 18570 Item to divide with (divisor) 42484507-1d9b-48a8-8c25-96ac0939b2e2 true B B false 0 7552 18580 14 20 7560.5 18590 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division 911cfeb2-6a07-49cc-a933-bb0786740e72 true Result Result false 0 7596 18560 34 40 7614.5 18580 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 59d3d0ec-df0f-4f6c-b8e0-9ff112c4c214 true Expression Expression 7494 18510 194 28 7594 18524 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7279fd2f-28fe-41f7-8502-60affce70d57 true Variable O O true 911cfeb2-6a07-49cc-a933-bb0786740e72 1 7496 18512 14 24 7504.5 18524 Result of expression bf59cde7-344a-4f58-bbe4-9b2580c56796 true Result false 0 7677 18512 9 24 7683 18524 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2e2e5360-9054-450f-b0d9-828af6d004a2 true Panel false 0 bf59cde7-344a-4f58-bbe4-9b2580c56796 1 Double click to edit panel content… 7518 18489 160 20 0 0 0 7518.289 18489.97 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3c104a70-9abd-4da6-94c2-b50d2ed71e81 true Panel false 0 f4e0f3a1-e1f8-431f-84a9-4d78e4bc8f8b 1 Double click to edit panel content… 7518 18641 160 20 0 0 0 7518.289 18641.88 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e6da33ac-d80f-4c54-b680-eeeaba3ff614 true Expression Expression 7494 18661 194 28 7594 18675 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable a6328d19-9311-48e2-8c98-8e81db0e6c07 true Variable O O true 9c043701-2a90-4a63-9cef-403638fe3802 1 7496 18663 14 24 7504.5 18675 Result of expression f4e0f3a1-e1f8-431f-84a9-4d78e4bc8f8b true Result false 0 7677 18663 9 24 7683 18675 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 421e1f40-1c39-41b5-9c1e-9d61ed50a5db true Scale Scale 7514 18387 154 64 7598 18419 Base geometry 753f0a2f-fe50-45cd-afcb-b9c4fbcc38c3 true Geometry Geometry true 1c683cd3-d178-40f6-af46-51830c911e87 1 7516 18389 67 20 7559 18399 Center of scaling eedce016-66e6-411c-8961-84bb286f2a5c true Center Center false 0 7516 18409 67 20 7559 18419 1 1 {0} 0 0 0 Scaling factor 39471cdf-88cf-4030-bd4e-190a6f77e3fb 1/X true Factor Factor false 2e2e5360-9054-450f-b0d9-828af6d004a2 1 7516 18429 67 20 7559 18439 1 1 {0} 0.5 Scaled geometry 59788862-a115-4256-a5f1-2c1ae9fd45bf true Geometry Geometry false 0 7613 18389 53 30 7641 18404 Transformation data f5640de2-0d2f-4a1a-940f-d4ac31e6f717 true Transform Transform false 0 7613 18419 53 30 7641 18434 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 7082e895-b111-4112-9e7a-5de8d7c7c95c true Curve Curve false 59788862-a115-4256-a5f1-2c1ae9fd45bf 1 7572 17795 50 24 7597.268 17807.47 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 9a13c0dc-bb24-4f72-9571-14bdd66675e2 true Expression Expression 7494 19168 194 28 7594 19182 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 038349da-4897-4e80-989c-41c774aa0843 true Variable O O true d825a26e-1046-43c4-aa72-ec8009512657 1 7496 19170 14 24 7504.5 19182 Result of expression 96dbc9e9-a90a-4927-9815-5d217f633697 true Result false 0 7677 19170 9 24 7683 19182 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 52f49153-a197-410a-a02d-d440c32f4e97 true Panel false 0 96dbc9e9-a90a-4927-9815-5d217f633697 1 Double click to edit panel content… 7519 19147 160 20 0 0 0 7519.158 19147.82 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 6c787197-7373-48f6-b7b9-bd4e9712d98a true Evaluate Length Evaluate Length 7519 18177 144 64 7593 18209 Curve to evaluate 4a06683b-84e6-4ce8-b99f-6e87affe5e54 true Curve Curve false 59788862-a115-4256-a5f1-2c1ae9fd45bf 1 7521 18179 57 20 7551 18189 Length factor for curve evaluation 646f9e67-d82f-4303-97bd-13b8d7a6549a true Length Length false 0 7521 18199 57 20 7551 18209 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) cf5edd30-b60b-4687-91f0-8350199a19c3 true Normalized Normalized false 0 7521 18219 57 20 7551 18229 1 1 {0} true Point at the specified length d158ff9d-7623-445c-b059-6258d9873e6c true Point Point false 0 7608 18179 53 20 7636 18189 Tangent vector at the specified length 289d42f7-11bd-45d9-8e36-43f6212646e7 true Tangent Tangent false 0 7608 18199 53 20 7636 18209 Curve parameter at the specified length 5d16361b-f464-420e-9706-0a866da381f8 true Parameter Parameter false 0 7608 18219 53 20 7636 18229 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 6598a20f-173e-4b4d-b898-bc05449f7670 true Expression Expression 7494 17960 194 28 7594 17974 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 43341800-f14c-4adb-901e-69667ac91f0f true Variable O O true 303beb65-d916-4a32-80ee-54ecb0c01173 1 7496 17962 14 24 7504.5 17974 Result of expression c0e5fd91-ab85-4934-8739-5c6d2ab5fbd7 true Result false 0 7677 17962 9 24 7683 17974 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true d75a7971-0179-42aa-ac3f-88ee1bdbf459 true Deconstruct Deconstruct 7525 18094 132 64 7572 18126 Input point b347279b-39f8-4150-b21e-06923c9928f7 true Point Point false d158ff9d-7623-445c-b059-6258d9873e6c 1 7527 18096 30 60 7543.5 18126 Point {x} component 303beb65-d916-4a32-80ee-54ecb0c01173 true X component X component false 0 7587 18096 68 20 7622.5 18106 Point {y} component 1871c037-74d8-425d-97d1-e0b523c62524 true Y component Y component false 0 7587 18116 68 20 7622.5 18126 Point {z} component ac1a1dd9-a6f1-42fc-8ed8-1f1dc751a6cf true Z component Z component false 0 7587 18136 68 20 7622.5 18146 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 728cb53a-2801-4767-9579-9c49d7aee2a0 true Panel false 0 c0e5fd91-ab85-4934-8739-5c6d2ab5fbd7 1 Double click to edit panel content… 7518 17935 160 20 0 0 0 7518.539 17935.4 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 8bf07c87-64b8-4f7d-aba2-4db12e7834d9 true Expression Expression 7494 17874 194 28 7594 17888 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 29d58b74-5f3b-4041-a997-b60382bd9fec true Variable O O true 1871c037-74d8-425d-97d1-e0b523c62524 1 7496 17876 14 24 7504.5 17888 Result of expression d7bce812-39f3-4d48-b8fc-0c073a6a9af3 true Result false 0 7677 17876 9 24 7683 17888 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ae6114a6-87aa-49b5-b01e-dc0db60731f7 true Panel false 0 d7bce812-39f3-4d48-b8fc-0c073a6a9af3 1 Double click to edit panel content… 7518 17849 160 20 0 0 0 7518.549 17849.77 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true f83f0c0b-8580-47e9-9e4d-22fba721ab53 true Expression Expression 7494 18046 194 28 7594 18060 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 1602e22c-9254-40c0-aabc-302a3b843656 true Variable O O true ac1a1dd9-a6f1-42fc-8ed8-1f1dc751a6cf 1 7496 18048 14 24 7504.5 18060 Result of expression c0844f1a-890d-48a5-b4bd-ab8b6f4f6568 true Result false 0 7677 18048 9 24 7683 18060 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8f96ae32-b5d0-4ce8-bbff-8994e10e5d6d true Panel false 0 c0844f1a-890d-48a5-b4bd-ab8b6f4f6568 1 Double click to edit panel content… 7518 18021 160 20 0 0 0 7518.289 18021.62 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ce4704df-7da3-42aa-b64f-e8f20157b818 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 7409 22376 379 104 0 0 0 7409.947 22376.06 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1bdfd856-521c-417a-971c-0d51ccf78be5 true Panel false 0 fda4edfd-fd26-4b31-ae4f-131c5263e87b 1 Double click to edit panel content… 7430 20385 337 276 0 0 0 7430.479 20385.39 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e3edc1b6-5051-47a2-b2b7-c3711c58cd4f true Expression Expression 7494 20668 194 28 7594 20682 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 3c6507cd-fbe9-41e6-8ede-85eabab1b06b true Variable O O true a61bb92d-8752-43bd-b0f3-9fe07f3d2ca7 1 7496 20670 14 24 7504.5 20682 Result of expression fda4edfd-fd26-4b31-ae4f-131c5263e87b true Result false 0 7677 20670 9 24 7683 20682 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 7582 22875 50 24 7607.248 22887.02 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true 7d55e7dc-f827-43b8-aa47-c9dd146598fd true Curve Graph Mapper Curve Graph Mapper 7422 20950 160 224 7490 21062 1 One or multiple graph curves to graph map values with 03ef97c0-2b10-4607-b2f8-501154796b25 true Curves Curves false a5b887d8-746e-4a70-9ef8-8936bfedafae 1 7424 20952 51 27 7451 20965.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary f5644fd1-9e73-4c6c-979c-aa4b22aee85a true Rectangle Rectangle false dde8bb55-a063-41c2-9ee4-6e8ac92a8032 1 7424 20979 51 28 7451 20993.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis 24bd7645-3816-403f-bb6b-b43c729bf530 true Values Values false 9067d090-92be-43ef-b7ee-1948343ee84a 1 7424 21007 51 27 7451 21020.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 10846f42-7201-45f6-a4da-55ed6a0973d0 true X Axis X Axis true 0 7424 21034 51 28 7451 21048.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 589f176f-9a8c-4cef-8d5f-99d03d7deb93 true Y Axis Y Axis true 0 7424 21062 51 27 7451 21075.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph b48f3723-e0d3-4efd-a6e0-13cfdf65a74a true Flip Flip false 0 7424 21089 51 28 7451 21103.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle 206d2a25-9cfe-4493-a5b9-0c343b61c334 true Snap Snap false 0 7424 21117 51 27 7451 21130.75 1 1 {0} true Size of the graph labels 5c5d9b17-3ce7-4526-be19-428d0d33e982 true Text Size Text Size false 0 7424 21144 51 28 7451 21158.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis cecb00b6-8035-4ef8-996e-9b223f6c361d true Mapped Mapped false 0 7505 20952 75 20 7544 20962 1 The graph curves inside the boundary of the graph 14c46740-3e52-4641-a50c-c6ee71f200bf true Graph Curves Graph Curves false 0 7505 20972 75 20 7544 20982 1 The points on the graph curves where the X Axis input values intersected true e0437c01-a11d-4c84-8a4e-aefffd5f5703 true Graph Points Graph Points false 0 7505 20992 75 20 7544 21002 1 The lines from the X Axis input values to the graph curves true 92e7dd7c-3de7-4a37-bb3c-89c5e7027a82 true Value Lines Value Lines false 0 7505 21012 75 20 7544 21022 1 The points plotted on the X Axis which represent the input values true b5806344-b199-44ae-adfc-a00aa48deec5 true Value Points Value Points false 0 7505 21032 75 20 7544 21042 1 The lines from the graph curves to the Y Axis graph mapped values true e34ba579-7cd5-488e-9cb3-2f02ca16d714 true Mapped Lines Mapped Lines false 0 7505 21052 75 20 7544 21062 1 The points mapped on the Y Axis which represent the graph mapped values true 30e7f18d-9dbf-49ef-825b-ad58d84ee6bc true Mapped Points Mapped Points false 0 7505 21072 75 20 7544 21082 The graph boundary background as a surface 4387d49f-0230-4385-9795-983189e2dbb9 true Boundary Boundary false 0 7505 21092 75 20 7544 21102 1 The graph labels as curve outlines fce90d81-fdc5-47bb-b481-cca9c1e4f9df true Labels Labels false 0 7505 21112 75 20 7544 21122 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds bcfbe363-6402-451f-86c0-3a50c4bdfff2 true Out Of Bounds Out Of Bounds false 0 7505 21132 75 20 7544 21142 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 330a5a37-f9d9-422f-a3d0-711593704cff true Intersected Intersected false 0 7505 21152 75 20 7544 21162 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true dba667c8-74dc-4a1c-8c1d-1520ea051571 true End Points End Points 7543 21375 96 44 7593 21397 Curve to evaluate d50bb5c3-7eb4-4033-8bf0-e71f9c817ecb true Curve Curve false a5b887d8-746e-4a70-9ef8-8936bfedafae 1 7545 21377 33 40 7563 21397 Curve start point a3cf7f15-c35c-4958-a4fb-60f39818ec7c true Start Start false 0 7608 21377 29 20 7624 21387 Curve end point 61bae804-51f8-4a41-97c9-81b80c560ab5 true End End false 0 7608 21397 29 20 7624 21407 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 464914e0-2900-4dca-aa88-05c9526638e9 true Rectangle 2Pt Rectangle 2Pt 7533 21247 126 84 7591 21289 Rectangle base plane 9bceac1a-793e-4b63-a008-d5874c65a4f7 true Plane Plane false 0 7535 21249 41 20 7557 21259 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 23405188-ff32-4c02-b2ff-ad84da00c7d7 true Point A Point A false a3cf7f15-c35c-4958-a4fb-60f39818ec7c 1 7535 21269 41 20 7557 21279 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 44ee55c5-4700-4c7e-8871-f779dcd3f27d true Point B Point B false 61bae804-51f8-4a41-97c9-81b80c560ab5 1 7535 21289 41 20 7557 21299 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 12f2185c-7a34-423f-a82b-16ad009c01a6 true Radius Radius false 0 7535 21309 41 20 7557 21319 1 1 {0} 0 Rectangle defined by P, A and B dde8bb55-a063-41c2-9ee4-6e8ac92a8032 true Rectangle Rectangle false 0 7606 21249 51 40 7633 21269 Length of rectangle curve 286e6a6e-c183-499a-9460-f9abc11bf2fc true Length Length false 0 7606 21289 51 40 7633 21309 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true 69873ce1-1baf-454a-99ee-7b63778fffc3 true GraphMapper+ GraphMapper+ true 7582 21070 126 104 7649 21122 External curve as a graph e3b67a48-8111-4e2a-98a6-2739ce26a10c true Curve Curve false a5b887d8-746e-4a70-9ef8-8936bfedafae 1 7584 21072 50 20 7610.5 21082 Optional Rectangle boundary. If omitted the curve's would be landed 1977b298-e616-44b0-9ea0-6fe0bb14759b true Boundary Boundary true dde8bb55-a063-41c2-9ee4-6e8ac92a8032 1 7584 21092 50 20 7610.5 21102 1 List of input numbers 6876b9a3-df56-4a29-975f-07ac85234d39 true Numbers Numbers false 9067d090-92be-43ef-b7ee-1948343ee84a 1 7584 21112 50 20 7610.5 21122 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 4fbda31f-b42e-47b3-a05d-ff6f28de6fbb true Input Input true 1e5255b4-ca0a-4711-90ae-f0766891699b 1 7584 21132 50 20 7610.5 21142 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 2c8f194b-f7a9-4b01-a381-7714146e35f7 true Output Output true 1e5255b4-ca0a-4711-90ae-f0766891699b 1 7584 21152 50 20 7610.5 21162 1 Output Numbers e0c9fb70-227d-4b96-97e4-784cdd542951 true Number Number false 0 7664 21072 42 100 7686.5 21122 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 389fe958-f5ce-4018-a63d-256b87398808 true Stream Filter Stream Filter 7557 20867 89 64 7602 20899 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 24a713ea-7dc6-40d0-a72d-51d02742226c true Gate Gate false 106a93b0-0601-48d7-b498-a6b907cb491a 1 7559 20869 28 20 7574.5 20879 1 1 {0} 0 2 Input stream at index 0 69c38839-7eea-451d-80a8-f92b7e2dde1e true false Stream 0 0 true cecb00b6-8035-4ef8-996e-9b223f6c361d 1 7559 20889 28 20 7574.5 20899 2 Input stream at index 1 a261929b-b801-4c46-b48e-84d5cc21f24f true false Stream 1 1 true e0c9fb70-227d-4b96-97e4-784cdd542951 1 7559 20909 28 20 7574.5 20919 2 Filtered stream f3d645b5-0fac-4f20-a9f1-779c44fc248e true false Stream S(1) false 0 7617 20869 27 60 7632 20899 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 69930a87-8a03-4408-ae2c-9567e94f0b7c true Number Slider false 0 7534 20789 150 20 7534.908 20789.99 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6c3f0605-6ecc-4a04-a5cd-81072b39c4af true Panel false 1 ea6ce031-2da6-4f84-b7a5-56e154d99385 1 Double click to edit panel content… 7508 21572 185 271 0 0 0 7508.979 21572.27 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 0b55e68c-d601-4d71-a7f3-b1bff8c50ecb true Bounds Bounds 7532 21514 122 28 7596 21528 1 Numbers to include in Bounds 66480d3d-7d34-44f8-ae28-f780cca89bb8 true Numbers Numbers false 9067d090-92be-43ef-b7ee-1948343ee84a 1 7534 21516 47 24 7559 21528 Numeric Domain between the lowest and highest numbers in {N} 1e5255b4-ca0a-4711-90ae-f0766891699b true Domain Domain false 0 7611 21516 41 24 7633 21528 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 40543166-758e-4c68-bb76-3839522e6d80 true Expression Expression 7494 21928 194 28 7594 21942 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f388a59f-eeaa-4f9f-a5ba-638cee1380db true Variable O O true 9067d090-92be-43ef-b7ee-1948343ee84a 1 7496 21930 14 24 7504.5 21942 Result of expression ea6ce031-2da6-4f84-b7a5-56e154d99385 true Result false 0 7677 21930 9 24 7683 21942 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true e5fb97f5-2ceb-41bd-94d3-482fef5e394a true Expression Expression 7408 22160 367 28 7594 22174 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable e497c6fc-03b0-41cf-94e6-a2f6e711b397 true Variable O O true 637ed566-807c-46f7-812d-f13415712d2f 1 7410 22162 14 24 7418.5 22174 Result of expression 491f1856-dea3-47a7-98e8-1f38d63f7688 true Result false 0 7764 22162 9 24 7770 22174 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 5c04e166-bc57-46dc-a33b-d120622015af true Panel false 0 491f1856-dea3-47a7-98e8-1f38d63f7688 1 Double click to edit panel content… 7509 22109 179 20 0 0 0 7509.117 22109.13 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 7082e895-b111-4112-9e7a-5de8d7c7c95c 1 c6487f3a-957c-4dc0-9ad1-1c7e89785626 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 1a0699ec-728f-4d5c-ac63-16306667120b true Scale Scale 7514 18302 154 64 7598 18334 Base geometry d1bbec8e-dc1e-4fbe-9f3c-5dedabd1ac21 true Geometry Geometry true 30001983-c314-4c6c-88d3-45dee8332dbb 1 7516 18304 67 20 7559 18314 Center of scaling 1bcdeef3-6e3c-4b0d-ac53-75fd34403efd true Center Center false 0 7516 18324 67 20 7559 18334 1 1 {0} 0 0 0 Scaling factor e9f28d44-9a1b-4493-887a-a41ac09cfa8f 1/X true Factor Factor false 2e2e5360-9054-450f-b0d9-828af6d004a2 1 7516 18344 67 20 7559 18354 1 1 {0} 0.5 Scaled geometry aa10e8f5-5ad6-4906-8d82-a67597ae045a true Geometry Geometry false 0 7613 18304 53 30 7641 18319 Transformation data 4790e0c1-d97f-479d-b527-17a9caa9c539 true Transform Transform false 0 7613 18334 53 30 7641 18349 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 7c0a0934-8289-47a0-b3bb-55187a18e850 true Point Point false aa10e8f5-5ad6-4906-8d82-a67597ae045a 1 7573 18273 50 24 7598.268 18285.65 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true ab7eae8f-fda2-4b10-b284-a3a367e7bbb5 true Mirror Mirror 7519 17502 138 44 7587 17524 Base geometry a4702bed-c268-4ea2-97a6-f6a3346e2cc3 true Geometry Geometry true 7082e895-b111-4112-9e7a-5de8d7c7c95c 1 7521 17504 51 20 7548 17514 Mirror plane 91377831-431c-42d0-a726-a1ae118e65d9 true Plane Plane false 0 7521 17524 51 20 7548 17534 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 5739075c-340c-4c72-ae5a-0f65a773f9f8 true Geometry Geometry false 0 7602 17504 53 20 7630 17514 Transformation data 66838ca7-4628-40cf-89b2-f0d29bd82b8d true Transform Transform false 0 7602 17524 53 20 7630 17534 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true c82a47b4-09f2-4505-bf49-68485889f195 true Curve Curve false eb6cdc92-153b-407b-a04c-3de1dc55eb93 1 7572 17404 50 24 7597.518 17416.65 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a5b887d8-746e-4a70-9ef8-8936bfedafae true Relay false 1c443774-20bf-43a6-bfdd-0965796750c4 1 7571 21446 40 16 7591 21454 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 9df09ad9-dcf8-427e-b9df-be18605e028e true Curve Curve false 07c1ea70-9f34-4cb2-9732-c0811f7a89a4 1 7121 21831 50 24 7146.313 21843.6 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 1c443774-20bf-43a6-bfdd-0965796750c4 true Curve Curve false 3fdd8382-a423-4413-b749-ed0066a0de11 1 7121 21549 50 24 7146.414 21561.93 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 932ae951-9b07-48f7-b357-e5d8f9d2f9a9 true Scale Scale 7062 21579 154 64 7146 21611 Base geometry 99f37123-363c-4829-9d14-c91c8f0f022b true Geometry Geometry true 9df09ad9-dcf8-427e-b9df-be18605e028e 1 7064 21581 67 20 7107 21591 Center of scaling 8b31dc17-2efa-4eff-93cc-b12744ce0b61 true Center Center false 0 7064 21601 67 20 7107 21611 1 1 {0} 0 0 0 Scaling factor b9b3f36d-25f0-45bd-bb89-db9fb4b19f4f 2^X true Factor Factor false 9b841fa1-df46-463a-8a58-7dc4660c77b4 1 7064 21621 67 20 7107 21631 1 1 {0} 1 Scaled geometry 3fdd8382-a423-4413-b749-ed0066a0de11 true Geometry Geometry false 0 7161 21581 53 30 7189 21596 Transformation data 6e6b47bf-3832-429f-9bde-baaeb49a203e true Transform Transform false 0 7161 21611 53 30 7189 21626 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9df09ad9-dcf8-427e-b9df-be18605e028e 1c443774-20bf-43a6-bfdd-0965796750c4 932ae951-9b07-48f7-b357-e5d8f9d2f9a9 27899f96-8899-44d3-a06c-50d23c4c5623 9f1cdcbb-80df-41d8-af5b-78cf23360689 e2cb120f-5b44-48a4-b3b6-aa9cb7214f81 f543f7a5-c350-4099-80ea-5df138f96ddc 2a6c9856-3283-42b9-ad0d-b196a81f7300 9e0ce62b-127c-4d18-bb00-e332cc94cdd6 2a8104db-2b14-4f9d-818b-f57b27a43158 10 6ecf204f-19ca-4f1b-8a1f-9c37f1b6643c Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true dd3874b1-a64f-4b2a-a29b-12cb278e881e true Move Move 7519 17438 138 44 7587 17460 Base geometry ef3b6713-0301-41ea-8e69-85385924a914 true Geometry Geometry true 7082e895-b111-4112-9e7a-5de8d7c7c95c 1 7521 17440 51 20 7548 17450 Translation vector e0139871-b442-4ee7-8ec2-2994830bfb01 true Motion Motion false c662a3f5-c686-480e-a9f6-c0e87c370038 1 7521 17460 51 20 7548 17470 1 1 {0} 0 3 0 Translated geometry eb6cdc92-153b-407b-a04c-3de1dc55eb93 true Geometry Geometry false 0 7602 17440 53 20 7630 17450 Transformation data f156a45f-a667-464c-a0ac-4bc67b275a41 true Transform Transform false 0 7602 17460 53 20 7630 17470 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 9f1cdcbb-80df-41d8-af5b-78cf23360689 true Digit Scroller false 0 12 2 30.9312132004 7021 21775 250 20 7021.713 21775.02 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e2cb120f-5b44-48a4-b3b6-aa9cb7214f81 true Panel false 0 0 16.93121320041889709 7078 21674 144 20 0 0 0 7078.873 21674.63 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true f543f7a5-c350-4099-80ea-5df138f96ddc true Curve Curve false 0 7121 21506 50 24 7146.414 21518.93 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 2a6c9856-3283-42b9-ad0d-b196a81f7300 true Curve Curve false 0 7123 21963 50 24 7148.364 21975.77 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects c1fa8501-0e6f-4710-aef6-6ae81d7fcd46 1 49ff4401-8150-494a-bb82-f23540526c63 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects dbd93ad4-4190-4668-8af3-d07c04c66dc6 1 cd022c50-d05a-419d-9381-0a403bcafbf3 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb 1039284a-7fb8-4f65-8a63-a8b8847c847e c224342c-801f-4459-9224-44879ddf539f d7213532-5e84-4452-8be6-de7278fd0d5b 170e89e6-0823-483d-b6da-8a61c53027b7 82b9d602-bf3a-4de6-b944-fe2247c951ab 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 bade2dc2-5919-4723-bde3-ebdd9bc0713a 777a1d64-6482-4221-8c26-8ff31e84f24a eb2a842f-a395-41a0-a667-f7168a1b8090 cd022c50-d05a-419d-9381-0a403bcafbf3 49ff4401-8150-494a-bb82-f23540526c63 57ca2b82-e6ca-4f33-9af0-b056547d4b2c 5449d956-2675-4285-951d-b70810171010 67fedd6d-2205-4e18-9171-cbde1d5c2e46 340f190e-6016-465d-ac0f-373367888e16 a08ec1bc-7d44-4b5f-86b0-78148107593e 348dcc14-62a3-4d82-9951-97beb79884ee cae291b5-909f-42aa-82b4-b311788dad66 d6a65cf3-3c57-4aab-8be1-8f4ffb307b50 20 e13e30a7-17a6-462e-a483-e43c92ba2d20 Group dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb true Duplicate Data Duplicate Data 9225 22737 104 64 9284 22769 1 Data to duplicate 0a3ed188-e985-452e-9ff5-cd0a32dae120 true Data Data false 3441c199-dcc1-4b33-934b-cfbae9c4275e 1 9227 22739 42 20 9249.5 22749 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 1 Number of duplicates 39ec433b-0285-4cb6-b72b-ae0de8502430 true Number Number false 29b40471-71d6-4c88-b1ed-616dd8d46c9b 1 9227 22759 42 20 9249.5 22769 1 1 {0} 500 Retain list order e98f6c79-061f-423b-b564-c00fe80a78e0 true Order Order false 0 9227 22779 42 20 9249.5 22789 1 1 {0} true 1 Duplicated data 33b9cd87-5f23-4af9-99be-03484f0d3cd1 true Data Data false 0 9299 22739 28 60 9314.5 22769 fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 DotNET VB Script (LEGACY) A VB.NET scriptable component true 1039284a-7fb8-4f65-8a63-a8b8847c847e true DotNET VB Script (LEGACY) Turtle 0 Dim i As Integer Dim dir As New On3dVector(1, 0, 0) Dim pos As New On3dVector(0, 0, 0) Dim axis As New On3dVector(0, 0, 1) Dim pnts As New List(Of On3dVector) pnts.Add(pos) For i = 0 To Forward.Count() - 1 Dim P As New On3dVector dir.Rotate(Left(i), axis) P = dir * Forward(i) + pnts(i) pnts.Add(P) Next Points = pnts 9211 20809 116 44 9272 20831 1 1 2 Script Variable Forward Script Variable Left 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 true true Forward Left true true 2 Print, Reflect and Error streams Output parameter Points 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true true Output Points false false 1 false Script Variable Forward 12d5745b-b37e-43c0-843a-56929a8c4807 true Forward Forward true 1 true 33b9cd87-5f23-4af9-99be-03484f0d3cd1 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 9213 20811 44 20 9236.5 20821 1 false Script Variable Left 7e6b428e-4fb4-49f8-8d14-87f691d21b7f true Left Left true 1 true 42c35aa7-cdbc-4be6-97e3-313e6cf9e229 1 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 9213 20831 44 20 9236.5 20841 Print, Reflect and Error streams 3192b03b-e4b1-411f-ab6c-4012a9b71cda true Output Output false 0 9287 20811 38 20 9307.5 20821 Output parameter Points 981930d9-4b2a-4b10-8210-cbef51e1dcc0 true Points Points false 0 9287 20831 38 20 9307.5 20841 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true d7213532-5e84-4452-8be6-de7278fd0d5b true Series Series 9222 22066 101 64 9272 22098 First number in the series 48bcc301-5606-4043-b5aa-9d1fe2b346de true Start Start false 0 9224 22068 33 20 9242 22078 1 1 {0} 0 Step size for each successive number bec12e81-b467-4fbe-b8d1-513264384ecc true Step Step false f6a9ded4-3b5b-4b16-90c6-185afd448198 1 9224 22088 33 20 9242 22098 1 1 {0} 1 Number of values in the series 83ada186-9e38-4809-8b20-5b3656b3f1bd true Count Count false 29b40471-71d6-4c88-b1ed-616dd8d46c9b 1 9224 22108 33 20 9242 22118 1 Series of numbers 5cd2669e-4aec-471a-b8a7-2754c45d0366 true Series Series false 0 9287 22068 34 60 9305.5 22098 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 170e89e6-0823-483d-b6da-8a61c53027b7 true Number Slider false 0 9210 22920 150 20 9210.363 22920.86 0 1 0 65536 0 0 256 a4cd2751-414d-42ec-8916-476ebf62d7fe Radians Convert an angle specified in degrees to radians true 82b9d602-bf3a-4de6-b944-fe2247c951ab true Radians Radians 9172 22308 120 28 9233 22322 Angle in degrees 7787b94f-a008-46ca-84c7-30f149dcfd14 true Degrees Degrees false 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 1 9174 22310 44 24 9197.5 22322 Angle in radians 0c73dfab-a73a-4c0b-8a5f-cfa5642dea2e true Radians Radians false 0 9248 22310 42 24 9270.5 22322 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00140149998 9150 22675 251 20 9150.574 22675.85 75eb156d-d023-42f9-a85e-2f2456b8bcce Interpolate (t) Create an interpolated curve through a set of points with tangents. true eb2a842f-a395-41a0-a667-f7168a1b8090 true Interpolate (t) Interpolate (t) 9197 20044 144 84 9283 20086 1 Interpolation points 8c946e43-ae5a-4866-a8c3-b9235c87365d true Vertices Vertices false d2c8396a-8532-419d-8481-bdd10c5ce58a 1 9199 20046 69 20 9235 20056 Tangent at start of curve 8655a585-24a4-4608-a2a0-fed84f02f2df true Tangent Start Tangent Start false 0 9199 20066 69 20 9235 20076 1 1 {0} 0.0625 0 0 Tangent at end of curve ce08e837-a42b-4294-97ce-29210331a9e3 true Tangent End Tangent End false 0 9199 20086 69 20 9235 20096 1 1 {0} 0 0 0 Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 9953718f-457b-45fc-afce-079d4f6df2f1 true KnotStyle KnotStyle false 0 9199 20106 69 20 9235 20116 1 1 {0} 2 Resulting nurbs curve 785870ed-7168-4194-a6cb-1315975c5831 true Curve Curve false 0 9298 20046 41 26 9320 20059.33 Curve length d999d374-f05d-4786-a492-dae5e85f1fcd true Length Length false 0 9298 20072 41 27 9320 20086 Curve domain 54a99784-cfb0-47d5-888b-0f1b05f937cb true Domain Domain false 0 9298 20099 41 27 9320 20112.67 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb 1039284a-7fb8-4f65-8a63-a8b8847c847e c224342c-801f-4459-9224-44879ddf539f d7213532-5e84-4452-8be6-de7278fd0d5b 170e89e6-0823-483d-b6da-8a61c53027b7 82b9d602-bf3a-4de6-b944-fe2247c951ab 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 bade2dc2-5919-4723-bde3-ebdd9bc0713a 27ce5316-f16d-488a-a1b9-8aa96103f1a7 bf597752-e6d4-4ce1-83f3-62cfda6b3f4f 3fe78e12-dc17-4eef-876e-a7218b28ee25 175ce8c8-265b-4672-b747-2e617bce8bae 4cffdb4a-a1ed-49d7-ac90-5f7a82c4f4d0 4d684f21-0b75-4a95-80eb-e6ed0eb1ba49 14 777a1d64-6482-4221-8c26-8ff31e84f24a Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 1d617850-f3e5-4787-bd84-3281835cabb5 true Evaluate Length Evaluate Length 9197 19876 144 64 9271 19908 Curve to evaluate 9ab92278-21d1-47db-9bd2-e5db6b7df77d true Curve Curve false 785870ed-7168-4194-a6cb-1315975c5831 1 9199 19878 57 20 9229 19888 Length factor for curve evaluation faaf8c2d-63fb-466d-9428-5b9c24f3a42e true Length Length false 0 9199 19898 57 20 9229 19908 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 9fe530b0-b1e8-4c75-b77c-713304da3b8e true Normalized Normalized false 0 9199 19918 57 20 9229 19928 1 1 {0} true Point at the specified length f60adb7d-32a2-4956-8da7-e1cb3cc7d50e true Point Point false 0 9286 19878 53 20 9314 19888 Tangent vector at the specified length 64338788-525b-45bb-a662-c0cad4655f9c true Tangent Tangent false 0 9286 19898 53 20 9314 19908 Curve parameter at the specified length 07540a67-cca8-4a1c-8c78-62c7b479d5a7 true Parameter Parameter false 0 9286 19918 53 20 9314 19928 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 6d717f7d-ebf6-4079-9aa3-f85139a8884f true Mirror Mirror 9200 19814 138 44 9268 19836 Base geometry 37a0c615-9a90-4a7a-929b-78e101e9fba7 true Geometry Geometry true 785870ed-7168-4194-a6cb-1315975c5831 1 9202 19816 51 20 9229 19826 Mirror plane d27da496-947e-4073-9b75-31a080cc851f true Plane Plane false 5b9a01c4-a772-4fcb-af6b-04c554cc4a6d 1 9202 19836 51 20 9229 19846 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry f32e5621-6a5e-4367-8e01-4bbe59d960a7 true Geometry Geometry false 0 9283 19816 53 20 9311 19826 Transformation data 903da1f0-6758-4a70-892c-ba182ae90c1b true Transform Transform false 0 9283 19836 53 20 9311 19846 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true ab070339-75ac-48af-8207-0ca30bf14d26 true Line SDL Line SDL 9216 19960 106 64 9280 19992 Line start point b53c4623-b816-49c4-837b-0d51a03f84b5 true Start Start false f60adb7d-32a2-4956-8da7-e1cb3cc7d50e 1 9218 19962 47 20 9243 19972 Line tangent (direction) 6282e896-3d03-462c-ad96-71c24e5e8035 true Direction Direction false 64338788-525b-45bb-a662-c0cad4655f9c 1 9218 19982 47 20 9243 19992 1 1 {0} 0 0 1 Line length 251cd52b-2e63-48f0-adb5-543e38cb6186 true Length Length false 0 9218 20002 47 20 9243 20012 1 1 {0} 1 Line segment 5b9a01c4-a772-4fcb-af6b-04c554cc4a6d true Line Line false 0 9295 19962 25 60 9309 19992 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 38b3604b-77db-495a-8a08-a39707d7a30c true Join Curves Join Curves 9210 19752 118 44 9273 19774 1 Curves to join 67a544fa-5ce7-4172-99e4-4674816ea679 true Curves Curves false 785870ed-7168-4194-a6cb-1315975c5831 f32e5621-6a5e-4367-8e01-4bbe59d960a7 2 9212 19754 46 20 9236.5 19764 Preserve direction of input curves a164235e-7a15-48e0-a8bf-17f5da2e14c4 true Preserve Preserve false 0 9212 19774 46 20 9236.5 19784 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 56734868-78d6-417f-8d03-973fbd89d392 true Curves Curves false 0 9288 19754 38 40 9308.5 19774 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 1e27447a-66be-4102-a4b5-8b1390997178 true Evaluate Length Evaluate Length 9197 19668 144 64 9271 19700 Curve to evaluate ae2805ee-2ddc-4cd6-9e9c-dbdccf6b14af true Curve Curve false 56734868-78d6-417f-8d03-973fbd89d392 1 9199 19670 57 20 9229 19680 Length factor for curve evaluation 42f8d2dd-c039-4b26-99fc-e207517000a0 true Length Length false 0 9199 19690 57 20 9229 19700 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 4ad0c720-9725-45fc-8aa2-9d38d4ac9873 true Normalized Normalized false 0 9199 19710 57 20 9229 19720 1 1 {0} true Point at the specified length 479438c8-cc4d-4ec6-b97a-a48c9246d670 true Point Point false 0 9286 19670 53 20 9314 19680 Tangent vector at the specified length 651773b1-f446-47b5-a9da-57955b1a717a true Tangent Tangent false 0 9286 19690 53 20 9314 19700 Curve parameter at the specified length ba8f2ad3-4106-4903-aa88-9cb417bb552b true Parameter Parameter false 0 9286 19710 53 20 9314 19720 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true fb7a1f8d-54ee-4990-b936-573b815e4ff1 true Rotate Rotate 9200 19585 138 64 9268 19617 Base geometry 6487c664-3c9e-4d2b-b6d5-63b79efc50d8 true Geometry Geometry true 56734868-78d6-417f-8d03-973fbd89d392 1 9202 19587 51 20 9229 19597 Rotation angle in radians 626f3b25-df77-4d58-835f-35b8e77efaa1 true Angle Angle false 0 false 9202 19607 51 20 9229 19617 1 1 {0} 3.1415926535897931 Rotation plane 378c33e7-73f0-4ed2-987f-62f389d5e365 true Plane Plane false 479438c8-cc4d-4ec6-b97a-a48c9246d670 1 9202 19627 51 20 9229 19637 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry 7305da96-05a5-4a88-8e52-9c731ded1fad true Geometry Geometry false 0 9283 19587 53 30 9311 19602 Transformation data c6af23b7-4609-4fed-b121-fbc74a3ba695 true Transform Transform false 0 9283 19617 53 30 9311 19632 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 97c40c85-0b82-4dae-888c-d721101ac522 true Join Curves Join Curves 9210 19522 118 44 9273 19544 1 Curves to join c9ebe400-76d5-4b49-84d8-684703748810 true Curves Curves false 56734868-78d6-417f-8d03-973fbd89d392 7305da96-05a5-4a88-8e52-9c731ded1fad 2 9212 19524 46 20 9236.5 19534 Preserve direction of input curves cdf7a826-69de-4c0c-a49c-8ade12a872ee true Preserve Preserve false 0 9212 19544 46 20 9236.5 19554 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 7bcdddd9-8842-4768-ad13-16ebbcdf2485 true Curves Curves false 0 9288 19524 38 40 9308.5 19544 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects eb2a842f-a395-41a0-a667-f7168a1b8090 1d617850-f3e5-4787-bd84-3281835cabb5 6d717f7d-ebf6-4079-9aa3-f85139a8884f ab070339-75ac-48af-8207-0ca30bf14d26 38b3604b-77db-495a-8a08-a39707d7a30c 1e27447a-66be-4102-a4b5-8b1390997178 fb7a1f8d-54ee-4990-b936-573b815e4ff1 97c40c85-0b82-4dae-888c-d721101ac522 cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d 1f429ea5-caf2-4335-839e-c4a1fc6e4f3b d2c8396a-8532-419d-8481-bdd10c5ce58a db1b8d5e-412a-4412-9349-bb9ad1eae269 5c9b2941-e7bb-44a7-8d6a-1ff9d33be17e 57ec1eb2-bdf2-4ae4-9b47-059230205343 15 dbd93ad4-4190-4668-8af3-d07c04c66dc6 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 13560c87-2332-4330-a49f-82b99b1436c4 true Panel false 0 af9d671f-3736-4822-8551-abf4f79f917b 1 Double click to edit panel content… 9204 22162 145 20 0 0 0 9204.104 22162.36 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 true Curve Curve false 7bcdddd9-8842-4768-ad13-16ebbcdf2485 1 9252 19489 50 24 9277.684 19501.92 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 1 49609cea-1a70-45c3-80dc-ea251ad00f53 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values bf597752-e6d4-4ce1-83f3-62cfda6b3f4f true Panel false 0 0 0.35721403168191375/4/4 9058 22399 439 20 0 0 0 9058.664 22399.04 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true beb59961-19f0-428e-9f46-fe2528ab7890 true Evaluate Length Evaluate Length 9197 19396 144 64 9271 19428 Curve to evaluate d2edc271-8fa2-4379-9866-305f92739db3 true Curve Curve false 7bcdddd9-8842-4768-ad13-16ebbcdf2485 1 9199 19398 57 20 9229 19408 Length factor for curve evaluation c9a77e6e-10e4-4900-8f14-f53a4ca3ce78 true Length Length false 0 9199 19418 57 20 9229 19428 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 58f813c2-8c1b-446e-869b-94c376452343 true Normalized Normalized false 0 9199 19438 57 20 9229 19448 1 1 {0} true Point at the specified length bb1f2c43-4acb-481a-9a05-548b3525f9aa true Point Point false 0 9286 19398 53 20 9314 19408 Tangent vector at the specified length 00f1c670-0e68-4058-81e2-cd0bb7e0e952 true Tangent Tangent false 0 9286 19418 53 20 9314 19428 Curve parameter at the specified length d9e2db33-b2ca-46f1-95bc-2c348e42374c true Parameter Parameter false 0 9286 19438 53 20 9314 19448 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0304cf48-a7fc-4bcc-8650-66449de2135a true Expression Expression 9172 19174 194 28 9272 19188 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 9e2cd79e-49c9-471b-ab02-6e27794d7ab3 true Variable O O true f0ad1cca-33c4-40d1-b1ab-5626290430c5 1 9174 19176 14 24 9182.5 19188 Result of expression 95a80966-48fc-46d4-894e-2e337adae68e true Result false 0 9355 19176 9 24 9361 19188 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true a8d21499-77ba-4cb5-b537-1b492d0b072d true Deconstruct Deconstruct 9203 19308 132 64 9250 19340 Input point acb11ef5-76a3-49b3-a75a-b8903a186891 true Point Point false bb1f2c43-4acb-481a-9a05-548b3525f9aa 1 9205 19310 30 60 9221.5 19340 Point {x} component f0ad1cca-33c4-40d1-b1ab-5626290430c5 true X component X component false 0 9265 19310 68 20 9300.5 19320 Point {y} component 6b708634-6450-40a7-911d-c0990e63d131 true Y component Y component false 0 9265 19330 68 20 9300.5 19340 Point {z} component 8c1d0499-da22-4d25-9bcd-93852c241588 true Z component Z component false 0 9265 19350 68 20 9300.5 19360 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab true Panel false 0 95a80966-48fc-46d4-894e-2e337adae68e 1 Double click to edit panel content… 9196 19155 160 20 0 0 0 9196.455 19155.5 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5ba680bf-5f36-48f2-b02f-fc20f272de3d true Expression Expression 9172 19088 194 28 9272 19102 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 886162c7-0004-44bb-b245-02e14506027e true Variable O O true 6b708634-6450-40a7-911d-c0990e63d131 1 9174 19090 14 24 9182.5 19102 Result of expression 8259b3ad-7bf2-4c66-8b75-b449c63a7de6 true Result false 0 9355 19090 9 24 9361 19102 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3b2adea6-57f3-403d-b72b-1544d3bf2abf true Panel false 0 8259b3ad-7bf2-4c66-8b75-b449c63a7de6 1 Double click to edit panel content… 9196 19067 160 20 0 0 0 9196.455 19067.08 255;255;255;255 false false true false false true 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 551339a5-7ce0-4224-9324-ed0296881b78 true Division Division 9228 18986 82 44 9259 19008 Item to divide (dividend) 1663c29c-e0bb-4a6d-a2b4-986b5cd29530 true A A false 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab 1 9230 18988 14 20 9238.5 18998 Item to divide with (divisor) c48e1b8a-1a3d-48f2-a5a2-05cb99eea602 true B B false 3b2adea6-57f3-403d-b72b-1544d3bf2abf 1 9230 19008 14 20 9238.5 19018 The result of the Division c4ea3552-07a3-4752-98b4-709a106f0d82 true Result Result false 0 9274 18988 34 40 9292.5 19008 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values fac3ba7c-9c82-400d-8c85-ee5c865de4a4 true Panel false 0 af9d671f-3736-4822-8551-abf4f79f917b 1 Double click to edit panel content… 9196 18900 160 20 0 0 0 9196.693 18900.56 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true a8da2956-af99-4098-8c44-b5ecafad51ab true Expression Expression 9172 18939 194 28 9272 18953 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 02c56d24-49df-46f2-a1d9-1f98f6966225 true Variable O O true c4ea3552-07a3-4752-98b4-709a106f0d82 1 9174 18941 14 24 9182.5 18953 Result of expression cb5163d9-e511-4ae5-9806-6a961797bc7b true Result false 0 9355 18941 9 24 9361 18953 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object af9d671f-3736-4822-8551-abf4f79f917b true Relay false cb5163d9-e511-4ae5-9806-6a961797bc7b 1 9249 18864 40 16 9269 18872 a0d62394-a118-422d-abb3-6af115c75b25 Addition Mathematical addition true 4850df6e-1289-45cc-bc62-0c065424321f true Addition Addition 9228 18801 82 44 9259 18823 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for addition b00b210f-f410-4a05-993b-a6d4e517404d true A A true 3b2adea6-57f3-403d-b72b-1544d3bf2abf 1 9230 18803 14 20 9238.5 18813 Second item for addition 0757895c-3f22-4a92-a3f9-4a6d06c66e34 true B B true 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab 1 9230 18823 14 20 9238.5 18833 Result of addition 102bb354-2996-4152-9553-bc085627892a true Result Result false 0 9274 18803 34 40 9292.5 18823 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 7cc36c08-4a10-44c0-9661-d1009f358693 true Division Division 9228 18651 82 44 9259 18673 Item to divide (dividend) 1a3a5920-77a0-44dd-8d3b-398e078fbe80 true A A false 4a4f4785-005f-4c36-abe9-497bfc357b48 1 9230 18653 14 20 9238.5 18663 Item to divide with (divisor) 9eba7a2b-2583-42f2-9cf1-ec493fba577c true B B false 0 9230 18673 14 20 9238.5 18683 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 2 The result of the Division edbd19a0-f034-45e2-aeca-fdfb724c0f48 true Result Result false 0 9274 18653 34 40 9292.5 18673 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 0dae7229-a981-46e0-bb9d-860d9430cf7b true Expression Expression 9172 18603 194 28 9272 18617 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 086e3bcd-75c1-49e2-9ad0-5f267e7302c2 true Variable O O true edbd19a0-f034-45e2-aeca-fdfb724c0f48 1 9174 18605 14 24 9182.5 18617 Result of expression ddd8762d-5223-4073-a498-edecf4c04a7c true Result false 0 9355 18605 9 24 9361 18617 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3f846370-657a-4b9d-ad02-96c4d9f2915e true Panel false 0 ddd8762d-5223-4073-a498-edecf4c04a7c 1 Double click to edit panel content… 9196 18583 160 20 0 0 0 9196.455 18583.42 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4a4f4785-005f-4c36-abe9-497bfc357b48 true Panel false 0 800ceadc-9e33-4948-bd24-1eba79149738 1 Double click to edit panel content… 9196 18735 160 20 0 0 0 9196.455 18735.33 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 55787898-278b-4394-8fb9-e372fd6c279e true Expression Expression 9172 18754 194 28 9272 18768 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 8bccb91b-f108-453e-9cc0-f4aad976b9d4 true Variable O O true 102bb354-2996-4152-9553-bc085627892a 1 9174 18756 14 24 9182.5 18768 Result of expression 800ceadc-9e33-4948-bd24-1eba79149738 true Result false 0 9355 18756 9 24 9361 18768 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 16241c5b-95ba-488a-8cb8-302f94aab8b1 true Scale Scale 9192 18480 154 64 9276 18512 Base geometry 4e318cd1-249b-41b6-8f00-368583d06bd2 true Geometry Geometry true cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 1 9194 18482 67 20 9237 18492 Center of scaling 60b407ac-f449-48eb-a3cf-7523cdd42d28 true Center Center false 0 9194 18502 67 20 9237 18512 1 1 {0} 0 0 0 Scaling factor c5d241da-3273-4b8d-a096-7de3a340fd9e 1/X true Factor Factor false 3f846370-657a-4b9d-ad02-96c4d9f2915e 1 9194 18522 67 20 9237 18532 1 1 {0} 0.5 Scaled geometry bd9f8aef-4554-460c-a7b9-7520ac9f3277 true Geometry Geometry false 0 9291 18482 53 30 9319 18497 Transformation data 1d4d383c-9b94-4180-988f-af16be28aa92 true Transform Transform false 0 9291 18512 53 30 9319 18527 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true adf83129-215a-4938-be3d-47d1a82da650 true Curve Curve false bd9f8aef-4554-460c-a7b9-7520ac9f3277 1 9250 17888 50 24 9275.434 17900.92 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 8b2e8ccc-1d3f-4467-8a7d-76db9d271482 true Expression Expression 9172 19261 194 28 9272 19275 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d1f6ae33-3f9d-4684-ae67-4f451855d065 true Variable O O true 8c1d0499-da22-4d25-9bcd-93852c241588 1 9174 19263 14 24 9182.5 19275 Result of expression 6fea29eb-a368-47ad-b32d-bdf64de6ea8a true Result false 0 9355 19263 9 24 9361 19275 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f57c4b4a-115b-43b2-994f-2217561c619c true Panel false 0 6fea29eb-a368-47ad-b32d-bdf64de6ea8a 1 Double click to edit panel content… 9197 19241 160 20 0 0 0 9197.324 19241.27 255;255;255;255 false false true false false true 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 48c1450b-113e-4f0e-883e-18eca0eec5a3 true Evaluate Length Evaluate Length 9197 18270 144 64 9271 18302 Curve to evaluate 103b28d3-6b40-4d07-b989-0043b6ca4c72 true Curve Curve false bd9f8aef-4554-460c-a7b9-7520ac9f3277 1 9199 18272 57 20 9229 18282 Length factor for curve evaluation 3e24fd91-7cb3-48b2-aa98-242400098f44 true Length Length false 0 9199 18292 57 20 9229 18302 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 0d237493-8278-4465-834a-516113255495 true Normalized Normalized false 0 9199 18312 57 20 9229 18322 1 1 {0} true Point at the specified length 64c719d4-4369-4432-910b-044205d72ce5 true Point Point false 0 9286 18272 53 20 9314 18282 Tangent vector at the specified length 77052456-3532-47cd-8ee0-5abcf060635e true Tangent Tangent false 0 9286 18292 53 20 9314 18302 Curve parameter at the specified length fd91882d-4d21-4d5c-be6f-7c62add03ea5 true Parameter Parameter false 0 9286 18312 53 20 9314 18322 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 02fbeae1-9aa8-46e0-9d9c-664e1e333613 true Expression Expression 9172 18053 194 28 9272 18067 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f76e3278-a09f-408b-ab49-589027e1da27 true Variable O O true ac39f15b-f959-4cbf-9ea1-14221568cb97 1 9174 18055 14 24 9182.5 18067 Result of expression 5d470041-28a0-4540-898d-ded8365caa46 true Result false 0 9355 18055 9 24 9361 18067 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 1853c135-e40d-42f1-b137-d067d992777d true Deconstruct Deconstruct 9203 18187 132 64 9250 18219 Input point 9fd297f4-5ec3-414b-bce9-51436bef8b67 true Point Point false 64c719d4-4369-4432-910b-044205d72ce5 1 9205 18189 30 60 9221.5 18219 Point {x} component ac39f15b-f959-4cbf-9ea1-14221568cb97 true X component X component false 0 9265 18189 68 20 9300.5 18199 Point {y} component afde3a2f-ac28-4b69-8c07-18b71327f490 true Y component Y component false 0 9265 18209 68 20 9300.5 18219 Point {z} component 6bf03d96-1c42-439d-a09d-3679172ab7f2 true Z component Z component false 0 9265 18229 68 20 9300.5 18239 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ea44be3b-6a32-40ae-8c3e-f3a93a5747b7 true Panel false 0 5d470041-28a0-4540-898d-ded8365caa46 1 Double click to edit panel content… 9196 18028 160 20 0 0 0 9196.705 18028.85 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e2c05755-5629-4a6c-b861-546e7afab9ab true Expression Expression 9172 17967 194 28 9272 17981 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 231f91a0-962e-4ea2-b027-d0e83a654eb3 true Variable O O true afde3a2f-ac28-4b69-8c07-18b71327f490 1 9174 17969 14 24 9182.5 17981 Result of expression f9c8896e-4546-4e2a-a63e-3f95d6ba4a52 true Result false 0 9355 17969 9 24 9361 17981 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 48de1dbe-2eec-4842-ac37-4b7870464e31 true Panel false 0 f9c8896e-4546-4e2a-a63e-3f95d6ba4a52 1 Double click to edit panel content… 9196 17943 160 20 0 0 0 9196.715 17943.21 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d49af78f-71dd-4c54-8395-8dbfc64b7443 true Expression Expression 9172 18139 194 28 9272 18153 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 472ab227-dde5-4121-92d8-b3c61375871b true Variable O O true 6bf03d96-1c42-439d-a09d-3679172ab7f2 1 9174 18141 14 24 9182.5 18153 Result of expression 7f3d43cd-e967-463b-8378-8bba7ab78079 true Result false 0 9355 18141 9 24 9361 18153 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b32cfad3-c586-46bc-b8b7-c18cda99cc37 true Panel false 0 7f3d43cd-e967-463b-8378-8bba7ab78079 1 Double click to edit panel content… 9196 18115 160 20 0 0 0 9196.455 18115.06 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3fe78e12-dc17-4eef-876e-a7218b28ee25 true Panel false 0 0 1 16 0.35721403168191375 1 256 0.0014014999884235925 1 4096 9088 22469 379 104 0 0 0 9088.113 22469.51 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values cae291b5-909f-42aa-82b4-b311788dad66 true Panel false 0 fa4f3b8c-b571-4a59-87b3-13b92c1fffe4 1 Double click to edit panel content… 9108 20478 337 276 0 0 0 9108.645 20478.84 255;255;255;255 true true true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d6a65cf3-3c57-4aab-8be1-8f4ffb307b50 true Expression Expression 9172 20761 194 28 9272 20775 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 04481ca9-57fe-4cc4-a0d0-c4cbbf6e80d8 true Variable O O true 981930d9-4b2a-4b10-8210-cbef51e1dcc0 1 9174 20763 14 24 9182.5 20775 Result of expression fa4f3b8c-b571-4a59-87b3-13b92c1fffe4 true Result false 0 9355 20763 9 24 9361 20775 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 29b40471-71d6-4c88-b1ed-616dd8d46c9b true Number Number false 841bc79c-9937-423d-9430-76e4ebfeb004 1 9260 22879 50 24 9285.414 22891.16 cae9fe53-6d63-44ed-9d6d-13180fbf6f89 1c9de8a1-315f-4c56-af06-8f69fee80a7a Curve Graph Mapper Remap values with a custom graph using input curves. true 57ca2b82-e6ca-4f33-9af0-b056547d4b2c true Curve Graph Mapper Curve Graph Mapper 9100 21043 160 224 9168 21155 1 One or multiple graph curves to graph map values with 2e9ac8ff-0e8f-4b3e-bdd1-938f3af97dca true Curves Curves false 54e0f04e-597a-4145-af9f-0a3289f1e95b 1 9102 21045 51 27 9129 21058.75 Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary c27d9d11-87f5-44a9-b7d4-63754ec9140a true Rectangle Rectangle false 6b649df7-8f2d-4dba-8246-390ecc22d5e8 1 9102 21072 51 28 9129 21086.25 1 1 {0;0;0;0;0} 0 0 0 1 0 0 0 1 0 0 1 0 1 1 Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis dbd9ccc3-6bf5-42d6-bd11-4f359734b7c3 true Values Values false 5cd2669e-4aec-471a-b8a7-2754c45d0366 1 9102 21100 51 27 9129 21113.75 Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) 97b5db9b-b313-4da6-b095-21a69f27e3ba true X Axis X Axis true 0 9102 21127 51 28 9129 21141.25 Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) 6d246813-09ff-437b-b0a2-a2a4ea12f08d true Y Axis Y Axis true 0 9102 21155 51 27 9129 21168.75 Flip the graphs X Axis from the bottom of the graph to the top of the graph a5c9ce89-fec3-4a85-a31b-475aab401a9e true Flip Flip false 0 9102 21182 51 28 9129 21196.25 1 1 {0} false Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle d3cfbb68-a437-4930-8eca-f3eae2ef2bc2 true Snap Snap false 0 9102 21210 51 27 9129 21223.75 1 1 {0} true Size of the graph labels e52494be-f286-4fdd-b148-bc4a346ad3a0 true Text Size Text Size false 0 9102 21237 51 28 9129 21251.25 1 1 {0} 0.015625 1 Resulting graph mapped values, mapped on the Y Axis 194fa741-c363-404c-b4b4-5f4b86c20aed true Mapped Mapped false 0 9183 21045 75 20 9222 21055 1 The graph curves inside the boundary of the graph 567d46c4-62a7-491d-b937-f15c9bfd2e5a true Graph Curves Graph Curves false 0 9183 21065 75 20 9222 21075 1 The points on the graph curves where the X Axis input values intersected true 789e481e-0b6c-4233-9f02-b5ae22ea5973 true Graph Points Graph Points false 0 9183 21085 75 20 9222 21095 1 The lines from the X Axis input values to the graph curves true fbf49b93-e6df-4cf7-a025-3f0e7dd19f57 true Value Lines Value Lines false 0 9183 21105 75 20 9222 21115 1 The points plotted on the X Axis which represent the input values true 4c688169-6149-4e43-8a49-e8f7e747a312 true Value Points Value Points false 0 9183 21125 75 20 9222 21135 1 The lines from the graph curves to the Y Axis graph mapped values true 8f94437c-df45-4de3-8c60-33f3e5e3a226 true Mapped Lines Mapped Lines false 0 9183 21145 75 20 9222 21155 1 The points mapped on the Y Axis which represent the graph mapped values true e90896ff-ee3c-4b4f-bf72-562a33ed0d77 true Mapped Points Mapped Points false 0 9183 21165 75 20 9222 21175 The graph boundary background as a surface 2cae3db5-9ddd-4f06-a369-21d3746fd984 true Boundary Boundary false 0 9183 21185 75 20 9222 21195 1 The graph labels as curve outlines f51cd5be-ee13-4dc5-b124-6c65342f0f14 true Labels Labels false 0 9183 21205 75 20 9222 21215 1 True for input values outside of the X Axis domain bounds False for input values inside of the X Axis domain bounds 5c9c1a8b-93c4-40f3-bd11-eda4919bb862 true Out Of Bounds Out Of Bounds false 0 9183 21225 75 20 9222 21235 1 True for input values on the X Axis which intersect a graph curve False for input values on the X Axis which do not intersect a graph curve 92a4b1c8-a464-493a-a212-c23bf7f8acb0 true Intersected Intersected false 0 9183 21245 75 20 9222 21255 11bbd48b-bb0a-4f1b-8167-fa297590390d End Points Extract the end points of a curve. true 5449d956-2675-4285-951d-b70810171010 true End Points End Points 9221 21468 96 44 9271 21490 Curve to evaluate a07a2a99-3653-488f-8be3-4418b9940352 true Curve Curve false 54e0f04e-597a-4145-af9f-0a3289f1e95b 1 9223 21470 33 40 9241 21490 Curve start point 09b02ffb-1ff4-4435-9385-58acaec45fa8 true Start Start false 0 9286 21470 29 20 9302 21480 Curve end point 0ec6d2ef-6861-403f-846c-5a4935a67831 true End End false 0 9286 21490 29 20 9302 21500 575660b1-8c79-4b8d-9222-7ab4a6ddb359 Rectangle 2Pt Create a rectangle from a base plane and two points true 67fedd6d-2205-4e18-9171-cbde1d5c2e46 true Rectangle 2Pt Rectangle 2Pt 9211 21340 126 84 9269 21382 Rectangle base plane bd13ffaf-1719-4749-8f9a-591d3b4c8b6c true Plane Plane false 0 9213 21342 41 20 9235 21352 1 1 {0} 0 0 0 1 0 0 0 1 0 First corner point. 8853abc6-b124-4355-ab2c-8b213565937c true Point A Point A false 09b02ffb-1ff4-4435-9385-58acaec45fa8 1 9213 21362 41 20 9235 21372 1 1 {0;0;0;0;0} 0 0 0 Second corner point. 33249685-4698-4381-bf8a-cf6bdba67c85 true Point B Point B false 0ec6d2ef-6861-403f-846c-5a4935a67831 1 9213 21382 41 20 9235 21392 1 1 {0;0;0;0;0} 1 1 0 Rectangle corner fillet radius 903db31b-0233-4cc1-9eed-1996ef6328eb true Radius Radius false 0 9213 21402 41 20 9235 21412 1 1 {0} 0 Rectangle defined by P, A and B 6b649df7-8f2d-4dba-8246-390ecc22d5e8 true Rectangle Rectangle false 0 9284 21342 51 40 9311 21362 Length of rectangle curve 4fdb0f86-644f-46ab-9691-3c31dbd64e14 true Length Length false 0 9284 21382 51 40 9311 21402 310f9597-267e-4471-a7d7-048725557528 08bdcae0-d034-48dd-a145-24a9fcf3d3ff GraphMapper+ External Graph mapper You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. true 340f190e-6016-465d-ac0f-373367888e16 true GraphMapper+ GraphMapper+ true 9260 21163 126 104 9327 21215 External curve as a graph cc95c75d-9fd7-4590-9d24-4b932521675c true Curve Curve false 54e0f04e-597a-4145-af9f-0a3289f1e95b 1 9262 21165 50 20 9288.5 21175 Optional Rectangle boundary. If omitted the curve's would be landed 9d1237cc-a40b-46c0-a394-1f6261eded7a true Boundary Boundary true 6b649df7-8f2d-4dba-8246-390ecc22d5e8 1 9262 21185 50 20 9288.5 21195 1 List of input numbers d95a76b8-5507-4409-8e63-b798f18deb58 true Numbers Numbers false 5cd2669e-4aec-471a-b8a7-2754c45d0366 1 9262 21205 50 20 9288.5 21215 1 9 {0} 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 (Optional) Input Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode 84777dc8-665f-45bf-b2a2-3f27181bfcdf true Input Input true fec395cf-00f8-4e2f-a499-53f29b784cc0 1 9262 21225 50 20 9288.5 21235 (Optional) Output Domain if omitted, it would be 0-1 in "Normalize" mode by default or be the interval of the input list in case of selecting "AutoDomain" mode fa9e33f8-d941-4cf9-901b-3aa6c9f09363 true Output Output true fec395cf-00f8-4e2f-a499-53f29b784cc0 1 9262 21245 50 20 9288.5 21255 1 Output Numbers 27b02828-1bb6-4399-b066-bb1d5018e44a true Number Number false 0 9342 21165 42 100 9364.5 21215 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true a08ec1bc-7d44-4b5f-86b0-78148107593e true Stream Filter Stream Filter 9235 20960 89 64 9280 20992 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 9456b298-8f79-494f-a8fc-986a4a9dc156 true Gate Gate false 354dfcc3-0b67-4297-a62c-b55f2f567519 1 9237 20962 28 20 9252.5 20972 1 1 {0} 0 2 Input stream at index 0 6af91969-cc6c-4ec5-a821-1d2c016642d7 true false Stream 0 0 true 194fa741-c363-404c-b4b4-5f4b86c20aed 1 9237 20982 28 20 9252.5 20992 2 Input stream at index 1 889ec784-0271-4f86-905a-8d35d3c5c6d8 true false Stream 1 1 true 27b02828-1bb6-4399-b066-bb1d5018e44a 1 9237 21002 28 20 9252.5 21012 2 Filtered stream 42c35aa7-cdbc-4be6-97e3-313e6cf9e229 true false Stream S(1) false 0 9295 20962 27 60 9310 20992 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 348dcc14-62a3-4d82-9951-97beb79884ee true Number Slider false 0 9213 20883 150 20 9213.074 20883.44 0 1 0 1 0 0 1 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 175ce8c8-265b-4672-b747-2e617bce8bae true Panel false 1 f6ec9b0e-1959-4307-b8be-1846cbb24f9f 1 Double click to edit panel content… 9187 21665 185 271 0 0 0 9187.145 21665.71 255;255;255;255 true true true false false true f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 27ce5316-f16d-488a-a1b9-8aa96103f1a7 true Bounds Bounds 9210 21607 122 28 9274 21621 1 Numbers to include in Bounds 41bf4d99-9629-467a-a4c5-47f3a406be80 true Numbers Numbers false 5cd2669e-4aec-471a-b8a7-2754c45d0366 1 9212 21609 47 24 9237 21621 Numeric Domain between the lowest and highest numbers in {N} fec395cf-00f8-4e2f-a499-53f29b784cc0 true Domain Domain false 0 9289 21609 41 24 9311 21621 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 4cffdb4a-a1ed-49d7-ac90-5f7a82c4f4d0 true Expression Expression 9172 22021 194 28 9272 22035 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 1fd7c6b3-7d0f-4813-9338-313a746d02ee true Variable O O true 5cd2669e-4aec-471a-b8a7-2754c45d0366 1 9174 22023 14 24 9182.5 22035 Result of expression f6ec9b0e-1959-4307-b8be-1846cbb24f9f true Result false 0 9355 22023 9 24 9361 22035 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000000000}",O) true 7f7a3dbe-41bb-4147-86f8-d889f01d5876 true Expression Expression 9086 22253 367 28 9272 22267 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 9158bda3-7386-4205-ae80-9071f7ee2493 true Variable O O true 0c73dfab-a73a-4c0b-8a5f-cfa5642dea2e 1 9088 22255 14 24 9096.5 22267 Result of expression 5994ba27-9f08-4c92-b80a-2f52996fba15 true Result false 0 9442 22255 9 24 9448 22267 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f6a9ded4-3b5b-4b16-90c6-185afd448198 true Panel false 0 5994ba27-9f08-4c92-b80a-2f52996fba15 1 Double click to edit panel content… 9187 22202 179 20 0 0 0 9187.283 22202.58 255;255;255;255 false false true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects adf83129-215a-4938-be3d-47d1a82da650 1 43753d2c-fbd3-4f99-8b7e-646c3b4a63f0 Group 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true beb8b866-28da-4aab-b549-e1451e63528b true Scale Scale 9192 18395 154 64 9276 18427 Base geometry db7dc39c-5412-417b-836d-4839c574db6f true Geometry Geometry true d2c8396a-8532-419d-8481-bdd10c5ce58a 1 9194 18397 67 20 9237 18407 Center of scaling 6838292b-e2ee-44d9-af19-86f2996c448d true Center Center false 0 9194 18417 67 20 9237 18427 1 1 {0} 0 0 0 Scaling factor bb469a39-2105-40f8-8814-257017096b66 1/X true Factor Factor false 3f846370-657a-4b9d-ad02-96c4d9f2915e 1 9194 18437 67 20 9237 18447 1 1 {0} 0.5 Scaled geometry ebb40015-b064-4c46-836b-5e8e3ecbcc4d true Geometry Geometry false 0 9291 18397 53 30 9319 18412 Transformation data a4167d31-bdec-452f-8d2d-c61605eee113 true Transform Transform false 0 9291 18427 53 30 9319 18442 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 09967293-5e47-4acc-bdd9-021303a75163 true Point Point false ebb40015-b064-4c46-836b-5e8e3ecbcc4d 1 9251 18367 50 24 9276.434 18379.1 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 2fc80a44-8804-4877-b49b-3501b0d8d6f4 true Mirror Mirror 9197 17595 138 44 9265 17617 Base geometry 3a7472ba-c5e8-4523-9df5-76bac2d08d0d true Geometry Geometry true adf83129-215a-4938-be3d-47d1a82da650 1 9199 17597 51 20 9226 17607 Mirror plane fe5a353c-3c3e-46c3-a3c5-354f2ebae868 true Plane Plane false 0 9199 17617 51 20 9226 17627 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry bb3ddc06-ecf9-4ad1-8171-c168e0bbabf9 true Geometry Geometry false 0 9280 17597 53 20 9308 17607 Transformation data f4bdb86e-f989-492d-a8b9-68a0269b48e2 true Transform Transform false 0 9280 17617 53 20 9308 17627 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 9fc3eda7-d22b-4858-9e35-874868e02c53 true Curve Curve false 2e2f5849-d603-4f48-a080-0edf6662328e 1 9250 17498 50 24 9275.684 17510.1 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 54e0f04e-597a-4145-af9f-0a3289f1e95b true Relay false 9f075226-9de4-41cb-acf3-b0d1dbb4f6ec 1 9249 21539 40 16 9269 21547 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 5b7c3df7-2185-4f89-8c08-caf78e94db64 true Curve Curve false fa03931f-f4f8-4f14-8042-b8b91912613e 1 8799 21925 50 24 8824.479 21937.04 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 9f075226-9de4-41cb-acf3-b0d1dbb4f6ec true Curve Curve false c01a4474-a643-4cdf-a161-a250c3d98283 1 8799 21643 50 24 8824.58 21655.38 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 57a3cade-967c-4227-bf83-8c72131bbb5c true Scale Scale 8740 21672 154 64 8824 21704 Base geometry 7ea43ff8-36e5-4ccf-9eeb-4964d5025193 true Geometry Geometry true 5b7c3df7-2185-4f89-8c08-caf78e94db64 1 8742 21674 67 20 8785 21684 Center of scaling f7575d08-9876-4111-aa86-92cb25eae5c9 true Center Center false 0 8742 21694 67 20 8785 21704 1 1 {0} 0 0 0 Scaling factor 3beb0053-ed39-4cd7-98de-b9c76c2ecb31 2^X true Factor Factor false 9b841fa1-df46-463a-8a58-7dc4660c77b4 1 8742 21714 67 20 8785 21724 1 1 {0} 1 Scaled geometry c01a4474-a643-4cdf-a161-a250c3d98283 true Geometry Geometry false 0 8839 21674 53 30 8867 21689 Transformation data b75d941a-c129-49f6-abd6-73965cc2afda true Transform Transform false 0 8839 21704 53 30 8867 21719 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5b7c3df7-2185-4f89-8c08-caf78e94db64 9f075226-9de4-41cb-acf3-b0d1dbb4f6ec 57a3cade-967c-4227-bf83-8c72131bbb5c 27899f96-8899-44d3-a06c-50d23c4c5623 21306a40-33c6-4391-a43a-ca231577eb1b 76eb1ee2-321f-4766-850a-f1cb357c12f3 90afcf43-cc85-4018-bdda-b1f34b70dfed 6166ffc3-f563-4c74-888d-123659087092 49899599-a7b9-4ec5-9218-093b9cde73ce 44248de2-665a-4000-b154-d2ec4869b7a3 10 da525afb-fa9f-4e21-ac12-acbf97366f74 Group e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true add20bae-e52c-49ee-bb21-e5508403ec1c true Move Move 9197 17531 138 44 9265 17553 Base geometry 37cb37cc-4078-4c52-a89f-29b2c3224acf true Geometry Geometry true adf83129-215a-4938-be3d-47d1a82da650 1 9199 17533 51 20 9226 17543 Translation vector 9aeeb9dd-dea6-436c-90b3-0ff40e093543 true Motion Motion false c3fcf4bf-859e-443f-bfe8-47d5e2042873 1 9199 17553 51 20 9226 17563 1 1 {0} 0 3 0 Translated geometry 2e2f5849-d603-4f48-a080-0edf6662328e true Geometry Geometry false 0 9280 17533 53 20 9308 17543 Transformation data 0987860a-899c-452a-9f45-4fe630f20764 true Transform Transform false 0 9280 17553 53 20 9308 17563 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 21306a40-33c6-4391-a43a-ca231577eb1b true Digit Scroller false 0 12 2 30.9312132004 8699 21868 250 20 8699.879 21868.46 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 76eb1ee2-321f-4766-850a-f1cb357c12f3 true Panel false 0 0 16.93121320041889709 8757 21768 144 20 0 0 0 8757.039 21768.08 255;255;255;255 false false true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 90afcf43-cc85-4018-bdda-b1f34b70dfed true Curve Curve false 0 8799 21600 50 24 8824.58 21612.38 1 1 {0;0;0;0} -1 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00000000-0000-0000-0000-000000000000 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 6166ffc3-f563-4c74-888d-123659087092 true Curve Curve false 0 8801 22057 50 24 8826.529 22069.21 1 1 {0;0;0;0} -1 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 00000000-0000-0000-0000-000000000000 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values e5651227-c26d-44b7-9deb-a849b476e495 true Panel false 0 0 0.00137956207 9057 22450 439 20 0 0 0 9057.664 22450.04 255;255;255;255 false false true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6c60cce1-63ea-4385-aabe-af9ce8af0091 true Panel false 0 f7d18941-85b1-4239-8098-7b14404aed2c 1 0.00032220000 0.00000220000 9057 22573 439 22 0 0 0 9057.975 22573.98 255;255;255;255 false false true false false true 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers f7bbd50f-abd0-41c3-bf47-aeeb74527a4d true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.00007777700 9150 22715 251 20 9150.574 22715.41 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 83155b01-ba3a-437f-a348-00c3806bfdf9 true Panel false 0 0 0.00137956207 9058 22695 439 20 0 0 0 9058.414 22695.56 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression 1/X true 4d684f21-0b75-4a95-80eb-e6ed0eb1ba49 true Expression 9237 22817 79 28 9279 22831 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7aa160a4-303c-47a1-837c-296940f1bc6d true Variable X X true 29b40471-71d6-4c88-b1ed-616dd8d46c9b 1 9239 22819 14 24 9247.5 22831 Result of expression 3441c199-dcc1-4b33-934b-cfbae9c4275e true Result false 0 9305 22819 9 24 9311 22831 fbac3e32-f100-4292-8692-77240a42fd1a Point Contains a collection of three-dimensional points true 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d true Point Point false 1f429ea5-caf2-4335-839e-c4a1fc6e4f3b 1 9273 20349 50 24 9298.395 20361.13 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 1f429ea5-caf2-4335-839e-c4a1fc6e4f3b true Relay false 981930d9-4b2a-4b10-8210-cbef51e1dcc0 1 9273 20391 40 16 9293 20399 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d2c8396a-8532-419d-8481-bdd10c5ce58a true Relay false 3593eb76-1aa0-4606-83ba-47769dd07fb1 1 9273 20168 40 16 9293 20176 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true db1b8d5e-412a-4412-9349-bb9ad1eae269 true Scale Scale 9216 20204 154 64 9300 20236 Base geometry 9763e9d0-6808-4451-b267-fe0754231503 true Geometry Geometry true 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d 1 9218 20206 67 20 9261 20216 Center of scaling c3ce551a-4728-4229-ba5b-75612147a87f true Center Center false 0 9218 20226 67 20 9261 20236 1 1 {0} 0 0 0 Scaling factor b48f27dc-e7da-453a-b901-607a9dd5f2e6 2^X true Factor Factor false 57ec1eb2-bdf2-4ae4-9b47-059230205343 1 9218 20246 67 20 9261 20256 1 1 {0} 0.5 Scaled geometry 3593eb76-1aa0-4606-83ba-47769dd07fb1 true Geometry Geometry false 0 9315 20206 53 30 9343 20221 Transformation data 0fd4e94b-674b-4e12-8222-5e633896455e true Transform Transform false 0 9315 20236 53 30 9343 20251 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 57ec1eb2-bdf2-4ae4-9b47-059230205343 true Digit Scroller false 0 12 7 16.00000 9178 20293 250 20 9178.174 20293.48 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d 1 5c9b2941-e7bb-44a7-8d6a-1ff9d33be17e Group 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers f7d18941-85b1-4239-8098-7b14404aed2c true Digit Scroller Digit Scroller false 0 12 Digit Scroller 1 0.02196259374 9150 22615 251 20 9150.074 22615.71 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 44248de2-665a-4000-b154-d2ec4869b7a3 true Digit Scroller false 0 12 2 0.0000000000 8700 21823 250 20 8700.027 21823.67 56b92eab-d121-43f7-94d3-6cd8f0ddead8 Vector XYZ Create a vector from {xyz} components. true 11f7fad5-5c45-4475-b82b-a3f9574c63cf true Vector XYZ Vector XYZ 9196 17668 139 64 9281 17700 Vector {x} component b9697c30-ac00-45bd-b69c-e8c250226712 true X component X component false 0 9198 17670 68 20 9233.5 17680 1 1 {0} 10 Vector {y} component 3cc8e6e4-8ff0-431d-898f-8900012e8ae8 true Y component Y component false 0 9198 17690 68 20 9233.5 17700 1 1 {0} 4 Vector {z} component eff5a4ae-77ec-4b01-8431-25c35fe96e41 true Z component Z component false 0 9198 17710 68 20 9233.5 17720 1 1 {0} 0 Vector construct c3fcf4bf-859e-443f-bfe8-47d5e2042873 true Vector Vector false 0 9296 17670 37 30 9316 17685 Vector length e30a28ea-d7b0-4e70-8428-aba91372d73b true Length Length false 0 9296 17700 37 30 9316 17715 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 49899599-a7b9-4ec5-9218-093b9cde73ce true Stream Filter Stream Filter 8779 21965 89 64 8824 21997 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 45beebc5-a6a8-48d2-8c54-a118427a1614 true Gate Gate false cd2b1132-cbf4-4723-9453-261983046e3b 1 8781 21967 28 20 8796.5 21977 1 1 {0} 0 2 Input stream at index 0 263beaac-46fa-4c21-9f3c-11632989d692 true false Stream 0 0 true f85f3458-b345-4cb9-b89c-3dfad93a636a 1 8781 21987 28 20 8796.5 21997 2 Input stream at index 1 895f000e-c8bc-4b8f-98ca-18595c632e2a true false Stream 1 1 true a907a344-b9c0-468b-a400-728beb37d17d 1 8781 22007 28 20 8796.5 22017 2 Filtered stream fa03931f-f4f8-4f14-8042-b8b91912613e true false Stream S(1) false 0 8839 21967 27 60 8854 21997 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 354dfcc3-0b67-4297-a62c-b55f2f567519 true Relay false 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf 1 9249 20937 40 16 9269 20945 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 5ec1468c-7072-409a-b450-23cc52f50492 true Evaluate Length Evaluate Length 4736 4793 144 64 4810 4825 Curve to evaluate 3d6f9a87-6a01-4358-8238-62a09288677a true Curve Curve false d83ebbab-2a2c-4827-8f4a-d8944e735e7f 1 4738 4795 57 20 4768 4805 Length factor for curve evaluation 51090ef9-606a-4392-b7d2-2ad0e9908f6a true Length Length false 0 4738 4815 57 20 4768 4825 1 2 {0} 0.25 0.75 If True, the Length factor is normalized (0.0 ~ 1.0) 56782bd2-c22a-434b-8f3b-77c6da96c73a true Normalized Normalized false 0 4738 4835 57 20 4768 4845 1 1 {0} true Point at the specified length 518b32c4-4ad4-45c1-85f3-f5f61ef28642 true Point Point false 0 4825 4795 53 20 4853 4805 Tangent vector at the specified length 7cf7eabd-9540-49c2-8c45-789f83434d04 true Tangent Tangent false 0 4825 4815 53 20 4853 4825 Curve parameter at the specified length 0ee1400d-b18d-4a9b-8d92-abaebe8cc7ba true Parameter Parameter false 0 4825 4835 53 20 4853 4845 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true cbdc5900-c640-4e50-b572-e0f6d83bda24 true Curve Curve false 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 1 4783 4750 50 24 4808.946 4762.826 50b204ef-d3de-41bb-a006-02fba2d3f709 Circle TanTan Create a circle tangent to two curves. true 27b179cc-34ee-440e-a769-dff3af94186f true Circle TanTan Circle TanTan 4753 4664 110 64 4814 4696 First curve for tangency constraint 4bdf725d-151e-4674-8093-c74ef3d23400 true Curve A Curve A false d83ebbab-2a2c-4827-8f4a-d8944e735e7f 1 4755 4666 44 20 4778.5 4676 Second curve for tangency constraint 0adf72b3-9d2a-4588-9635-980470d94134 true Curve B Curve B false cbdc5900-c640-4e50-b572-e0f6d83bda24 1 4755 4686 44 20 4778.5 4696 Circle center point guide fb57fc4b-316b-404b-9a6a-607a33d5a3a5 true Point Point false 518b32c4-4ad4-45c1-85f3-f5f61ef28642 1 4755 4706 44 20 4778.5 4716 Resulting circle f7d75c41-0766-45d4-987d-471d28807fd5 true Circle Circle false 0 4829 4666 32 60 4846.5 4696 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true d83ebbab-2a2c-4827-8f4a-d8944e735e7f true Curve Curve false c1394789-448d-4011-a7a5-a9c725907596 1 4784 4883 50 24 4809.178 4895.128 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5ec1468c-7072-409a-b450-23cc52f50492 cbdc5900-c640-4e50-b572-e0f6d83bda24 27b179cc-34ee-440e-a769-dff3af94186f d83ebbab-2a2c-4827-8f4a-d8944e735e7f 4 0c2cef2d-afcf-49fc-87e3-cb06fd125232 Group 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 050ff4c6-5e3a-42b4-884c-6668bfb2028c true Evaluate Length Evaluate Length 4675 1835 144 64 4749 1867 Curve to evaluate ea76c455-f784-49bb-916c-996662f20c6e true Curve Curve false 6c5be315-72f9-4f83-bd95-31f05355bdd6 1 4677 1837 57 20 4707 1847 Length factor for curve evaluation e3cbf1c3-ad24-42fc-837a-7b6b6e2fef7f true Length Length false 0 4677 1857 57 20 4707 1867 1 4 {0} 0.125 0.375 0.625 0.875 If True, the Length factor is normalized (0.0 ~ 1.0) 8be0fa3f-ef5f-4ea1-a62e-fce4ab46c9e8 true Normalized Normalized false 0 4677 1877 57 20 4707 1887 1 1 {0} true Point at the specified length f0eacf5c-7f2b-490a-88f7-5d7d054e781d true Point Point false 0 4764 1837 53 20 4792 1847 Tangent vector at the specified length cf10899e-4fa4-431a-a765-54fcebee7d0e true Tangent Tangent false 0 4764 1857 53 20 4792 1867 Curve parameter at the specified length b4128996-872c-4a0d-a19f-b5d9d4327dd7 true Parameter Parameter false 0 4764 1877 53 20 4792 1887 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true eba2a948-272f-4b81-806e-38f2dab7bb0b true Curve Curve false 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c 1 4723 1795 50 24 4748.779 1807.179 50b204ef-d3de-41bb-a006-02fba2d3f709 Circle TanTan Create a circle tangent to two curves. true 90282883-c970-4b3c-bc6c-f80056eece86 true Circle TanTan Circle TanTan 4692 1706 110 64 4753 1738 First curve for tangency constraint b4d35273-9196-482a-9312-c6b6cbb8ad78 true Curve A Curve A false 6c5be315-72f9-4f83-bd95-31f05355bdd6 1 4694 1708 44 20 4717.5 1718 Second curve for tangency constraint 94142f16-5bfc-42c7-8289-f5a7b4ffced1 true Curve B Curve B false eba2a948-272f-4b81-806e-38f2dab7bb0b 1 4694 1728 44 20 4717.5 1738 Circle center point guide bd644067-b4b1-4145-9ba1-52b1fbae7946 true Point Point false f0eacf5c-7f2b-490a-88f7-5d7d054e781d 1 4694 1748 44 20 4717.5 1758 Resulting circle ae02f50d-8b08-4d00-aa74-bc7568e10c35 true Circle Circle false 0 4768 1708 32 60 4785.5 1738 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 6c5be315-72f9-4f83-bd95-31f05355bdd6 true Curve Curve false c1394789-448d-4011-a7a5-a9c725907596 1 4724 1927 50 24 4749.011 1939.481 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 050ff4c6-5e3a-42b4-884c-6668bfb2028c eba2a948-272f-4b81-806e-38f2dab7bb0b 90282883-c970-4b3c-bc6c-f80056eece86 6c5be315-72f9-4f83-bd95-31f05355bdd6 4 0cb9ef0c-db4c-4371-af99-71ba7b815715 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 6f5ccfd4-8dcc-4da6-8c58-ec4cfa131a83 76219d2c-a796-4d1d-8236-63f5e832f6ef 068d9ddb-da71-48db-aefb-aef7beb59557 b24c9513-1e7d-4d2e-a986-354e8f5a9ae3 71708354-403b-4e3a-bbe5-2dc4643bbe9c 52cef7aa-5821-4b1f-9b5a-7c19c5aee6f3 fde6343a-f9d7-4c21-80dc-47b9338936e3 2984718d-063a-4632-92c4-4aeee62839b7 8bec9f0b-acb3-4318-b690-7f524d24faa3 f2ae82af-893f-4877-be23-51a1c9ac4592 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2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true 6f5ccfd4-8dcc-4da6-8c58-ec4cfa131a83 true Divide Curve Divide Curve 7900 26319 141 64 7966 26351 Curve to divide 5775d2e6-8867-428a-a33f-300c521ca40f true Curve Curve false da8d0ba5-6c5a-492f-8951-4179f7e097d6 1 7902 26321 49 20 7936 26331 Number of segments bfa8e3d6-972e-4656-9c98-194bea652b12 X/2 true Count Count false f2ae82af-893f-4877-be23-51a1c9ac4592 1 7902 26341 49 20 7936 26351 1 1 {0} 10 Split segments at kinks ee1008f5-110c-4c81-98f0-9c71fce61994 true Kinks Kinks false 0 7902 26361 49 20 7936 26371 1 1 {0} false 1 Division points ec22aaa1-91f3-436f-992d-9793dbd0829c true Points Points false 0 7981 26321 58 20 8011.5 26331 1 Tangent vectors at division points 55445ab0-c508-414a-b3fd-8da992ff2e0e true Tangents Tangents false 0 7981 26341 58 20 8011.5 26351 1 Parameter values at division points e92db23c-2238-481a-ac95-536e04e8244f true Parameters Parameters false 0 7981 26361 58 20 8011.5 26371 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 76219d2c-a796-4d1d-8236-63f5e832f6ef true Line SDL Line SDL 7910 26401 122 64 7990 26433 Line start point 6d24916a-023d-4e52-9f50-43ba060e99d6 true Start Start false 0 7912 26403 63 20 7953 26413 1 1 {0} 0 0 0 Line tangent (direction) f764c62e-c930-4ec3-a9a1-553e298b108e true Direction Direction false 0 7912 26423 63 20 7953 26433 1 1 {0} 1 0 0 Line length de4da49f-25f1-487c-925c-51e6fd73e37c X/2 true Length Length false 0 7912 26443 63 20 7953 26453 1 1 {0} 1 Line segment da8d0ba5-6c5a-492f-8951-4179f7e097d6 true Line Line false 0 8005 26403 25 60 8019 26433 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} true 068d9ddb-da71-48db-aefb-aef7beb59557 true Line SDL Line SDL 7918 26237 106 64 7982 26269 Line start point 1f32f464-b573-4d7c-9a66-9a4dfda50cde true Start Start false ec22aaa1-91f3-436f-992d-9793dbd0829c 1 7920 26239 47 20 7945 26249 1 1 {0} 0 0 0 Line tangent (direction) 53130629-d335-4c98-9cc8-e3b74022cedd true Direction Direction false 0 7920 26259 47 20 7945 26269 1 1 {0} 0 1 0 Line length 0e2288b3-b722-40ed-a616-d3d5c375a9b4 true Length Length false 0 7920 26279 47 20 7945 26289 1 1 {0} 1 Line segment 43239747-5011-4f84-82c8-9838b5a52246 true Line Line false 0 7997 26239 25 60 8011 26269 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b24c9513-1e7d-4d2e-a986-354e8f5a9ae3 true Panel false 1 c36c35db-46d3-471e-bf13-99083fb06848 1 Double click to edit panel content… 8047 24573 194 292 0 0 0 8047.257 24573.99 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 71708354-403b-4e3a-bbe5-2dc4643bbe9c true Deconstruct Deconstruct 7897 25017 148 64 7944 25049 Input point 4efd78a2-7e6d-47c1-8ca4-9dfd643f7355 true Point Point false b54f308e-40d5-49cf-9603-04608ca6bb66 1 7899 25019 30 60 7915.5 25049 Point {x} component 37df28d9-8586-4c7b-a27d-45da18678ae7 true 2 X component X component false 0 7959 25019 84 20 7994.5 25029 Point {y} component 94347c95-768a-47fd-8559-3a3d676c08c0 true 2 Y component Y component false 0 7959 25039 84 20 7994.5 25049 Point {z} component d2ab3e3e-5cf1-4338-a2de-92f08ea76a61 true Z component Z component false 0 7959 25059 84 20 7994.5 25069 079bd9bd-54a0-41d4-98af-db999015f63d VB Script A VB.NET scriptable component true 52cef7aa-5821-4b1f-9b5a-7c19c5aee6f3 true VB Script TxtWriter true 0 If activate Then Dim i As Integer Dim aryText(4) As String aryText(0) = "Mary WriteLine" aryText(1) = "Had" aryText(2) = "Another" aryText(3) = "Little" aryText(4) = "One" ' the data is appended to the file. If file doesnt exist, a new file is created Dim objWriter As New System.IO.StreamWriter(filePath, append) For i = 0 To data.Count - 1 objWriter.WriteLine(data(i)) Next objWriter.Close() End If If clearFile Then Dim objWriter As New System.IO.StreamWriter(filePath, False) objWriter.Close() End If 7913 24440 115 104 7989 24492 5 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 2 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true Script Variable filePath eeff5738-3482-4de7-955e-a389e7914aa9 true filePath filePath true 0 true fde6343a-f9d7-4c21-80dc-47b9338936e3 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 7915 24442 59 20 7954 24452 1 true Script Variable data 5b402d51-384d-4a10-8428-deda114a56e6 true 1 data data true 1 true b24c9513-1e7d-4d2e-a986-354e8f5a9ae3 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 7915 24462 59 20 7954 24472 true Script Variable append a26a48dc-fe87-4578-8c8b-d56a771284b0 true append append true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 7915 24482 59 20 7954 24492 true Script Variable activate 03d28d7d-51cb-4315-91d6-47dc9518eb86 true activate activate true 0 true 2984718d-063a-4632-92c4-4aeee62839b7 1 3cda2745-22ac-4244-9b04-97a5255fa60f 7915 24502 59 20 7954 24512 true Script Variable clearFile eae95419-3b18-41fd-a9b7-5f80a49eb70e true clearFile clearFile true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 7915 24522 59 20 7954 24532 Print, Reflect and Error streams ec4aaa9f-29c7-47d0-a52f-d320db00eb29 true out out false 0 8004 24442 22 50 8016.5 24467 Output parameter A 5bcc2175-7d09-4612-8d8d-639ff06b7b04 true A A false 0 8004 24492 22 50 8016.5 24517 06953bda-1d37-4d58-9b38-4b3c74e54c8f File Path Contains a collection of file paths false All files|*.* fde6343a-f9d7-4c21-80dc-47b9338936e3 true File Path File Path false 0 7948 24573 50 24 7973.636 24585.27 1 1 {0} false C:\IICSA.O__4201_EDIWID_1_TNEMERCNI__TNEIDARG_PUKOOL_ROLOC_HTOMS_3_DIOMGIS_ERUTAWRUC_RAENIL_DEPAM_4_NOITISNART_EGDE_LUF_EKUN__O__NUKE_FUL_EDGE_TRANSITION_4_MAPED_LINEAR_CURWATURE_SIGMOID_3_SMOTH_COLOR_LOOKUP_GRADIENT__INCREMENT_1_DIWIDE_1024__O.ASCII a8b97322-2d53-47cd-905e-b932c3ccd74e Button Button object with two values False True 2984718d-063a-4632-92c4-4aeee62839b7 true Button false 0 7938 24399 66 22 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 521ed613-25c1-489c-b2c8-a04049f666a7 true Curve Curve false e67debd2-544c-4a62-830a-f5782ec6d95b 1 9395 26710 50 24 9420.133 26722.31 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 5852cf2b-5c75-4d2e-88bf-7551693f5b70 true Evaluate Length Evaluate Length 9336 26612 160 64 9426 26644 Curve to evaluate 350118a9-96e7-4469-a619-1f7ed75378b1 true Curve Curve false 521ed613-25c1-489c-b2c8-a04049f666a7 1 9338 26614 73 20 9384 26624 Length factor for curve evaluation 9e0429d4-965b-4f03-b9b0-6d23587b2259 true 1 Length Length false 0 9338 26634 73 20 9384 26644 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 29ab7d26-4edd-4e96-a08c-064d6ceb2feb true Normalized Normalized false 0 9338 26654 73 20 9384 26664 1 1 {0} true Point at the specified length 3d372719-a185-4a67-981a-e138021e5cf5 true Point Point false 0 9441 26614 53 20 9469 26624 Tangent vector at the specified length 6c06032c-d4b6-4dbb-98b9-42c861c606be true Tangent Tangent false 0 9441 26634 53 20 9469 26644 Curve parameter at the specified length 62fba0cd-3499-4c4f-92e9-989df1d888d8 true Parameter Parameter false 0 9441 26654 53 20 9469 26664 fad344bc-09b1-4855-a2e6-437ef5715fe3 YZ Plane World YZ plane. true 64c31320-fe0c-4d9d-9435-c30addf1e792 true YZ Plane YZ Plane 9367 26565 98 28 9417 26579 Origin of plane ee99e0ab-f6fd-4e5b-91a2-a98ef8f58eea true Origin Origin false 3d372719-a185-4a67-981a-e138021e5cf5 1 9369 26567 33 24 9387 26579 1 1 {0} 0 0 0 World YZ plane 5a9ab425-4a63-488e-857d-137a5c535e43 true Plane Plane false 0 9432 26567 31 24 9449 26579 f12daa2f-4fd5-48c1-8ac3-5dea476912ca Mirror Mirror an object. true 2615fdb0-3475-497f-baf7-10291ca370d9 true Mirror Mirror 9347 26503 138 44 9415 26525 Base geometry 5d5fd96f-000c-4dc2-96d2-b4d9a36dea43 true Geometry Geometry true 521ed613-25c1-489c-b2c8-a04049f666a7 1 9349 26505 51 20 9376 26515 Mirror plane 445ffcbd-d5eb-4719-b746-bc9a7202ab94 true Plane Plane false 5a9ab425-4a63-488e-857d-137a5c535e43 1 9349 26525 51 20 9376 26535 1 1 {0} 0 0 0 0 1 0 0 0 1 Mirrored geometry 78ee7afd-dcc5-4181-b1f8-8efb0eae7d14 true Geometry Geometry false 0 9430 26505 53 20 9458 26515 Transformation data 96433806-a59c-43aa-a65d-fb5a1b7c075c true Transform Transform false 0 9430 26525 53 20 9458 26535 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true 76834849-4407-4202-8ec6-cfcf435a188d true Join Curves Join Curves 9357 26441 118 44 9420 26463 1 Curves to join 7d4ab061-6904-44af-9180-2992d2ce469b true Curves Curves false 521ed613-25c1-489c-b2c8-a04049f666a7 78ee7afd-dcc5-4181-b1f8-8efb0eae7d14 2 9359 26443 46 20 9383.5 26453 Preserve direction of input curves 486ce916-8479-44a5-a0ad-2250fd954007 true Preserve Preserve false 0 9359 26463 46 20 9383.5 26473 1 1 {0} false 1 Joined curves and individual curves that could not be joined. de3c585c-be6c-469f-a4f3-50738ad24f54 true Curves Curves false 0 9435 26443 38 40 9455.5 26463 e87db220-a0a0-4d67-a405-f97fd14b2d7a Linear Array Create a linear array of geometry. true 82cf0086-86e1-4c25-8cff-5c29a7f3a40d true Linear Array Linear Array 9347 26359 138 64 9415 26391 Base geometry 83c5d037-8530-433b-a896-246d46866d4d true Geometry Geometry true de3c585c-be6c-469f-a4f3-50738ad24f54 1 9349 26361 51 20 9376 26371 Linear array direction and interval fa00b316-4c23-4a0e-a3f7-f74891c91860 true Direction Direction false 0 9349 26381 51 20 9376 26391 1 1 {0} 2 0 0 Number of elements in array. 602b0e39-126d-422b-9a7a-6149fb9d6ba5 true Count Count false 0 9349 26401 51 20 9376 26411 1 1 {0} 2 1 Arrayed geometry 74758d7c-8ee9-4e91-9164-cadd36352223 true Geometry Geometry false 0 9430 26361 53 30 9458 26376 1 Transformation data 9869dd3a-93fc-4b30-a9a3-2fe3fdf59dc7 true Transform Transform false 0 9430 26391 53 30 9458 26406 8073a420-6bec-49e3-9b18-367f6fd76ac3 Join Curves Join as many curves as possible true ffc2651e-9382-4020-842b-5002f1e0045a true Join Curves Join Curves 9357 26297 118 44 9420 26319 1 Curves to join c1896f1b-da7c-4c94-8db8-ae893b2c1982 true Curves Curves false 74758d7c-8ee9-4e91-9164-cadd36352223 1 9359 26299 46 20 9383.5 26309 Preserve direction of input curves e7d24873-a86e-4061-a8e4-734daaafc0c8 true Preserve Preserve false 0 9359 26319 46 20 9383.5 26329 1 1 {0} false 1 Joined curves and individual curves that could not be joined. 76b2a5e6-be01-4e1b-a790-d5e42bb7344e true Curves Curves false 0 9435 26299 38 40 9455.5 26319 ccfd6ba8-ecb1-44df-a47e-08126a653c51 Curve Domain Measure and set the curve domain true 0bd835d5-26e4-428e-be22-9ef0ffc2e4ca true Curve Domain Curve Domain 9358 26052 116 44 9416 26074 Curve to measure/modify 52d7dad0-bac5-4a9d-aef0-316e1c287209 true Curve Curve false 6909d3f9-3b76-40d3-9d12-d3bb72e99f02 1 9360 26054 41 20 9382 26064 Optional domain, if omitted the curve will not be modified. 320dea18-932b-493f-9fe3-7a50c967a357 true Domain Domain true 0 9360 26074 41 20 9382 26084 Curve with new domain. 88f64854-a384-40af-b29a-4f3364f4910d true Curve Curve false 0 9431 26054 41 20 9453 26064 Domain of original curve. 756db84f-bd10-43b7-8193-dee8cdb550de true Domain Domain false 0 9431 26074 41 20 9453 26084 429cbba9-55ee-4e84-98ea-876c44db879a Sub Curve Construct a curve from the sub-domain of a base curve. true 1f736d75-0acd-466e-8c54-66d20f4ffd67 true Sub Curve Sub Curve 9354 25866 124 44 9428 25888 Base curve 68723e9f-bfbc-4799-8ced-a8e2a68133fd true Base curve Base curve false 88f64854-a384-40af-b29a-4f3364f4910d 1 9356 25868 57 20 9386 25878 Sub-domain to extract 7939a992-4cc8-4bd6-8873-b334b2fb0d8a true Domain Domain false 908b894d-2aa3-4855-a382-c35e6fa8d476 1 9356 25888 57 20 9386 25898 Resulting sub curve c9c103d7-fb88-449d-93cf-d1899c09bec0 true Curve Curve false 0 9443 25868 33 40 9461 25888 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true 0dc1bfc1-94ff-4758-85c5-25571a1b551b true Deconstruct Domain Deconstruct Domain 9364 25990 104 44 9422 26012 Base domain f951cd1c-c3f0-46e8-9f98-a7c5eee1c2c2 true Domain Domain false 756db84f-bd10-43b7-8193-dee8cdb550de 1 9366 25992 41 40 9388 26012 Start of domain 9ce20640-5ead-4c66-93bc-555bde8f78c3 true Start Start false 0 9437 25992 29 20 9453 26002 End of domain 09315b7b-102d-424d-8c9a-5fc7ab44daa0 true End End false 0 9437 26012 29 20 9453 26022 d1a28e95-cf96-4936-bf34-8bf142d731bf Construct Domain Create a numeric domain from two numeric extremes. true 4fae7aa9-72e4-4f8b-a302-b56a28c8b49d true Construct Domain Construct Domain 9338 25928 156 44 9436 25950 Start value of numeric domain b16a2af5-768e-47ad-bd21-7b54a2dbc500 X/8 true Domain start Domain start false 09315b7b-102d-424d-8c9a-5fc7ab44daa0 1 9340 25930 81 20 9390 25940 1 1 {0} 0 End value of numeric domain fbfc9604-7ad5-4110-af41-85a7ea9d90f4 X*5/8 true Domain end Domain end false 09315b7b-102d-424d-8c9a-5fc7ab44daa0 1 9340 25950 81 20 9390 25960 1 1 {0} 1 Numeric domain between {A} and {B} 908b894d-2aa3-4855-a382-c35e6fa8d476 true Domain Domain false 0 9451 25930 41 40 9473 25950 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 44ef6f9a-caa0-4214-b3a9-6f37c25b0823 true Move Move 9347 25804 138 44 9415 25826 Base geometry 9b38c8ee-3d30-46b0-ac04-ac9e0c742685 true Geometry Geometry true c9c103d7-fb88-449d-93cf-d1899c09bec0 1 9349 25806 51 20 9376 25816 Translation vector c5e81cc2-eea8-40db-9d4b-4da9d7797bb7 true Motion Motion false 0 9349 25826 51 20 9376 25836 1 1 {0} -0.5 -0.5 0 Translated geometry d634efec-eaa1-4552-8955-f0d045284f56 true Geometry Geometry false 0 9430 25806 53 20 9458 25816 Transformation data 98a49866-211f-40c8-bf40-105850266ef3 true Transform Transform false 0 9430 25826 53 20 9458 25836 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 982f2772-3928-4af2-ae57-35526ea29850 true Scale Scale 9347 25722 138 64 9415 25754 Base geometry 303c1e54-74d2-4af8-95df-a5361440bcd8 true Geometry Geometry true d634efec-eaa1-4552-8955-f0d045284f56 1 9349 25724 51 20 9376 25734 Center of scaling a5bd51ed-0621-4c8d-a682-e49c19e5ccbf true Center Center false 0 9349 25744 51 20 9376 25754 1 1 {0} 0 0 0 Scaling factor 5db464c3-f05f-4067-812f-415571d5b5ef true Factor Factor false 0 9349 25764 51 20 9376 25774 1 1 {0} 0.5 Scaled geometry 183bf7f6-6caa-4074-a0c1-0c307d940f3a true Geometry Geometry false 0 9430 25724 53 30 9458 25739 Transformation data 29d0b158-ad16-44f9-8681-6c40c32a5d43 true Transform Transform false 0 9430 25754 53 30 9458 25769 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 73634064-05a9-4fc8-ba5f-22e55d8d56d1 true Deconstruct Deconstruct 9332 25558 168 64 9379 25590 Input point 3bec8505-11f2-4a56-9e14-3c8c5d1c2bf1 true Point Point false 5d4eaaaa-2379-427e-9e98-d2854ab8a9c3 1 9334 25560 30 60 9350.5 25590 Point {x} component 0427502f-e4fb-4055-b28a-7e8fe719f15f true 2 X component X component false true 0 9394 25560 104 20 9429.5 25570 Point {y} component 992764c3-f6b3-45d3-9c45-26e7db379886 true 2 Y component Y component false true 0 9394 25580 104 20 9429.5 25590 Point {z} component b65d734b-c031-4d11-976e-4f397b7a47db true Z component Z component false 0 9394 25600 104 20 9429.5 25610 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true 8d17de15-607e-4072-bd70-5cc9a8efe9b5 true Divide Curve Divide Curve 9353 25640 125 64 9403 25672 Curve to divide 2002b3d7-e1f5-4df8-88c4-81e0e4d777e7 true Curve Curve false 183bf7f6-6caa-4074-a0c1-0c307d940f3a 1 9355 25642 33 20 9373 25652 Number of segments 8f47a2c1-a405-40c8-a043-8a0e8d26dd59 true Count Count false c4219dab-2b45-451a-9f35-b150c1719680 1 9355 25662 33 20 9373 25672 1 1 {0} 10 Split segments at kinks 94411214-c6d1-4b3f-8727-a44534e50c6b true Kinks Kinks false 0 9355 25682 33 20 9373 25692 1 1 {0} false 1 Division points 5d4eaaaa-2379-427e-9e98-d2854ab8a9c3 true Points Points false 0 9418 25642 58 20 9448.5 25652 1 Tangent vectors at division points b2ace906-f709-4456-9c75-f4ad21c35094 true Tangents Tangents false 0 9418 25662 58 20 9448.5 25672 1 Parameter 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true List List false 5d4eaaaa-2379-427e-9e98-d2854ab8a9c3 1 9371 25469 22 24 9383.5 25481 Number of items in L 4a91602b-182e-41ea-8bff-57bf58381ba3 true Length Length false 0 9423 25469 37 24 9443 25481 dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true c5733280-28ac-45ba-9b0b-986f2cb9d166 true Duplicate Data Duplicate Data 9346 25384 140 64 9405 25416 1 Data to duplicate 93bbcc9c-1452-41a2-9792-6280d50325e6 true Data Data false 0 9348 25386 42 20 9370.5 25396 1 1 {0} Grasshopper.Kernel.Types.GH_String false ; Number of duplicates 22d090b6-8a92-4e42-a3a8-3352903392a9 true Number Number false 4a91602b-182e-41ea-8bff-57bf58381ba3 1 9348 25406 42 20 9370.5 25416 1 1 {0} 2 Retain list order f3dbe681-3a37-4539-ab8f-aa8e442721ca true Order Order false 0 9348 25426 42 20 9370.5 25436 1 1 {0} true 1 Duplicated data 540a8309-6668-4cbd-a644-b3fd3216f063 true 2 Data Data false true 0 9420 25386 64 60 9435.5 25416 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true Result Result false 0 9489 25340 34 24 9507.5 25352 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ed5abe26-f015-40f1-92fd-ac2f1564cada true Panel false 0 540a8309-6668-4cbd-a644-b3fd3216f063 1 Double click to edit panel content… 9329 25041 181 292 0 0 0 9329.236 25041.08 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 521ed613-25c1-489c-b2c8-a04049f666a7 5852cf2b-5c75-4d2e-88bf-7551693f5b70 64c31320-fe0c-4d9d-9435-c30addf1e792 2615fdb0-3475-497f-baf7-10291ca370d9 76834849-4407-4202-8ec6-cfcf435a188d 82cf0086-86e1-4c25-8cff-5c29a7f3a40d ffc2651e-9382-4020-842b-5002f1e0045a 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of generic curves true e35db844-8c35-45e3-a4ba-d7a4a402c621 true Curve Curve false e67debd2-544c-4a62-830a-f5782ec6d95b 1 8681 25816 50 24 8706.031 25828.74 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 68563a7d-e7c8-4869-bd73-a9480e1c1d00 true Deconstruct Deconstruct 8629 25640 148 64 8676 25672 Input point 2d7a5ddf-c6d4-453e-8cb5-69af6f993b0a true Point Point false e827364b-59cf-4b41-9df6-15a17e582142 1 8631 25642 30 60 8647.5 25672 Point {x} component 29a9aaab-a1e8-4621-8fa9-ab9577de3e21 true 2 X component X component false 0 8691 25642 84 20 8726.5 25652 Point {y} component 66983311-dc16-4275-bf06-bf946c994bad true 2 Y component Y component false 0 8691 25662 84 20 8726.5 25672 Point {z} component 46f78897-2d93-4004-af97-57b4f74d60aa true Z component Z component false 0 8691 25682 84 20 8726.5 25692 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true 6750f4a4-517f-4231-93d7-803c432fd1f5 true Divide Curve Divide Curve 8640 25723 125 64 8690 25755 Curve to divide 461ef49d-af9c-493d-96cf-0496ad7274a2 true Curve Curve false e35db844-8c35-45e3-a4ba-d7a4a402c621 1 8642 25725 33 20 8660 25735 Number of segments e3f0218e-9316-4163-b9d7-6e5eafbaebd4 true Count Count false 949b3dc2-93e7-4b6b-94f6-42008f1ca88b 1 8642 25745 33 20 8660 25755 1 1 {0} 10 Split segments at kinks 42de9b05-e61c-49e3-9388-02a0aa4d4b63 true Kinks Kinks false 0 8642 25765 33 20 8660 25775 1 1 {0} false 1 Division points e827364b-59cf-4b41-9df6-15a17e582142 true Points Points false 0 8705 25725 58 20 8735.5 25735 1 Tangent vectors at division points 6ab080ba-5cb5-440f-bf02-f8d982dd5c9b true Tangents Tangents false 0 8705 25745 58 20 8735.5 25755 1 Parameter values at division points 45c5e056-b796-4c62-aa6b-a64baad9575d true Parameters Parameters false 0 8705 25765 58 20 8735.5 25775 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3d076723-8242-4d06-9c81-6683dadc72ed true Panel false 1 b540ade3-ed4e-42b1-8d73-2846148de82f 1 Double click to edit panel content… 8791 24997 172 292 0 0 0 8791.278 24997.47 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f2a19e5a-e845-4b70-95ad-388661779f63 true Panel false 1 6a7bfbe9-c1aa-461f-873f-dd4d928a0d47 1 Double click to edit panel content… 8446 24997 172 292 0 0 0 8446.79 24997.83 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 2013e425-8713-42e2-a661-b57e78840337 Concatenate Concatenate some fragments of text true 979aa3c1-0767-4752-981f-ebf6fa1c0d3e true Concatenate Concatenate 8656 24915 93 64 8682 24947 3 3ede854e-c753-40eb-84cb-b48008f14fd4 3ede854e-c753-40eb-84cb-b48008f14fd4 3ede854e-c753-40eb-84cb-b48008f14fd4 1 3ede854e-c753-40eb-84cb-b48008f14fd4 First text fragment 577f08d9-3728-4a92-906a-0d5f4903f2e1 true Fragment A true f2a19e5a-e845-4b70-95ad-388661779f63 1 8658 24917 9 20 8664 24927 Second text fragment ff9f3e5a-fd4a-49e2-b449-7aa9646236ca true Fragment B true 66e7c159-71a5-4f2c-adbb-dd82d3beb2d6 1 8658 24937 9 20 8664 24947 Third text fragment 642eff7e-cce8-4ce2-a46c-c2c127a34d74 true Fragment A true 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2b921f88-7d49-42da-8e15-0ce85692c30d true List List false e827364b-59cf-4b41-9df6-15a17e582142 1 8658 25503 22 24 8670.5 25515 Number of items in L c0870b76-eb87-437c-a261-fdb68d270d18 true Length Length false 0 8710 25503 37 24 8730 25515 dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 7ada70a1-45d5-4461-9dce-7a9de5f1418e true Duplicate Data Duplicate Data 8633 25418 140 64 8692 25450 1 Data to duplicate 58ea242d-e525-4589-8038-b0db9066ad77 true Data Data false 0 8635 25420 42 20 8657.5 25430 1 1 {0} Grasshopper.Kernel.Types.GH_String false , Number of duplicates a81285de-3f33-4584-a9ae-f2c2685b83be true Number Number false c0870b76-eb87-437c-a261-fdb68d270d18 1 8635 25440 42 20 8657.5 25450 1 1 {0} 2 Retain list order 4b9305b5-e4e6-4cdd-89a9-e5ee150152dc true Order Order false 0 8635 25460 42 20 8657.5 25470 1 1 {0} true 1 Duplicated data e7fb7d7c-744a-4366-bb2b-53a622a4a578 true 2 Data Data false true 0 8707 25420 64 60 8722.5 25450 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",X) true 4acbad9d-cf40-4ac0-92e9-0914ed2635af true Expression Expression 8585 25594 235 28 8685 25608 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 178950b6-0d18-4b18-a8da-3c225a385d14 true Variable X X true 29a9aaab-a1e8-4621-8fa9-ab9577de3e21 1 8587 25596 14 24 8595.5 25608 Result of expression 6a7bfbe9-c1aa-461f-873f-dd4d928a0d47 true Result Result false true 0 8768 25596 50 24 8786.5 25608 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",Y) true 99e82a43-4f64-4b1d-817d-e7e88986f446 true Expression Expression 8586 25371 234 28 8685 25385 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 20c89eb5-328d-407c-acef-6c8aed5c11a3 true Variable Y Y true 66983311-dc16-4275-bf06-bf946c994bad 1 8588 25373 13 24 8596 25385 Result of expression b540ade3-ed4e-42b1-8d73-2846148de82f true Result Result false true 0 8768 25373 50 24 8786.5 25385 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 66e7c159-71a5-4f2c-adbb-dd82d3beb2d6 true Panel false 1 e7fb7d7c-744a-4366-bb2b-53a622a4a578 1 Double click to edit panel content… 8619 24997 172 292 0 0 0 8619.309 24997.62 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects e35db844-8c35-45e3-a4ba-d7a4a402c621 d8eea3ec-5157-4ac0-92dd-492058fad237 59c8374e-36a2-40df-af0f-1946fb9c4c2e 6a58cb78-3aa0-4c67-9585-8364f6f684f5 2aafa1cf-f50a-4433-9467-6e2ba9b0a462 2ac06252-6a62-48fb-9825-5298bdbe9536 30aa3e57-dd88-4f54-ad69-4b2473594537 3662d19c-7316-4361-b4a3-db2bbd218382 b60eeacc-25e7-4f56-826d-40476555687d 71a4b562-3bee-43d5-9fb6-1c99bc3cd4cb ee5295ed-8446-4093-9cff-155530db048a 10338e33-43fc-4848-9f86-5e4608e349ae 5c73a0f5-f091-4315-897f-65bd97a0d6aa 68563a7d-e7c8-4869-bd73-a9480e1c1d00 6750f4a4-517f-4231-93d7-803c432fd1f5 3d076723-8242-4d06-9c81-6683dadc72ed f2a19e5a-e845-4b70-95ad-388661779f63 979aa3c1-0767-4752-981f-ebf6fa1c0d3e 6f400b56-fbec-4804-8341-38f4dc23db47 e578b74b-6b00-4b8d-9c5f-8b7d1c941f80 7ada70a1-45d5-4461-9dce-7a9de5f1418e 4acbad9d-cf40-4ac0-92e9-0914ed2635af 99e82a43-4f64-4b1d-817d-e7e88986f446 66e7c159-71a5-4f2c-adbb-dd82d3beb2d6 777f6c59-7a80-4cfa-be6f-1d8eb59552ff 8ae4527b-5550-4a76-bb40-bf8a243cd842 ebbd6d2f-c490-4677-b77d-c25c6942e622 949b3dc2-93e7-4b6b-94f6-42008f1ca88b ec56aa9b-bf0e-43f9-a278-6ef141612b48 372c9713-8b48-4080-bca3-e19d37da43ba 30 55ab6d29-aa48-49ef-baaf-d6e0a08ab86a Group 079bd9bd-54a0-41d4-98af-db999015f63d VB Script A VB.NET scriptable component true 777f6c59-7a80-4cfa-be6f-1d8eb59552ff true VB Script TxtWriter true 0 If activate Then Dim i As Integer Dim aryText(4) As String aryText(0) = "Mary WriteLine" aryText(1) = "Had" aryText(2) = "Another" aryText(3) = "Little" aryText(4) = "One" ' the data is appended to the file. If file doesnt exist, a new file is created Dim objWriter As New System.IO.StreamWriter(filePath, append) For i = 0 To data.Count - 1 objWriter.WriteLine(data(i)) Next objWriter.Close() End If If clearFile Then Dim objWriter As New System.IO.StreamWriter(filePath, False) objWriter.Close() End If 8645 24430 115 104 8721 24482 5 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 2 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true Script Variable filePath 660e4bc9-1658-4394-9667-13d80711e8e6 true filePath filePath true 0 true 8ae4527b-5550-4a76-bb40-bf8a243cd842 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 8647 24432 59 20 8686 24442 1 true Script Variable data 4cf1b389-ac52-4ddd-8d38-1dcd3e60fab2 true 1 data data true 1 true 6f400b56-fbec-4804-8341-38f4dc23db47 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 8647 24452 59 20 8686 24462 true Script Variable append de1499dc-b59e-4511-9293-0b42f78675fe true append append true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 8647 24472 59 20 8686 24482 true Script Variable activate 830a96d0-ff09-4403-a6ef-301e589981e9 true activate activate true 0 true ebbd6d2f-c490-4677-b77d-c25c6942e622 1 3cda2745-22ac-4244-9b04-97a5255fa60f 8647 24492 59 20 8686 24502 true Script Variable clearFile 0c00b769-5f96-4ed3-a5f4-5ce8b921e823 true clearFile clearFile true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 8647 24512 59 20 8686 24522 Print, Reflect and Error streams b791209b-077d-4078-b7a9-43b252cb06f4 true out out false 0 8736 24432 22 50 8748.5 24457 Output parameter A d0f9ad89-d013-4548-a46f-57d6b65f61fe true A A false 0 8736 24482 22 50 8748.5 24507 06953bda-1d37-4d58-9b38-4b3c74e54c8f File Path Contains a collection of file paths false All files|*.* 8ae4527b-5550-4a76-bb40-bf8a243cd842 true File Path File Path false 0 8680 24564 50 24 8705.723 24576.47 1 1 {0} false C:\VSC.O____STNEMGES_4201____HTOMS_LEVEL_3_DIOMGIS_ERUTAWRUC_RAENIL_DEPAM_SEMIT_4_NOITISNART_EGDE_LUF____O____FUL_EDGE_TRANSITION_4_TIMES_MAPED_LINEAR_CURWATURE_SIGMOID_3_LEVEL_SMOTH____1024_SEGMENTS____O.CSV a8b97322-2d53-47cd-905e-b932c3ccd74e Button Button object with two values False True ebbd6d2f-c490-4677-b77d-c25c6942e622 true Button false 0 8670 24408 66 22 079bd9bd-54a0-41d4-98af-db999015f63d VB Script A VB.NET scriptable component true cab813f7-791c-4922-be06-8c67e55c94ca true VB Script TxtWriter true 0 If activate Then Dim i As Integer Dim aryText(4) As String aryText(0) = "Mary WriteLine" aryText(1) = "Had" aryText(2) = "Another" aryText(3) = "Little" aryText(4) = "One" ' the data is appended to the file. If file doesnt exist, a new file is created Dim objWriter As New System.IO.StreamWriter(filePath, append) For i = 0 To data.Count - 1 objWriter.WriteLine(data(i)) Next objWriter.Close() End If If clearFile Then Dim objWriter As New System.IO.StreamWriter(filePath, False) objWriter.Close() End If 9358 24442 115 104 9434 24494 5 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 2 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true Script Variable filePath 8743b31d-c40d-4368-bb85-e0ec58c656f4 true filePath filePath true 0 true 2b25da2e-7e50-4fef-8021-89e37730bacf 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 9360 24444 59 20 9399 24454 1 true Script Variable data d630bc3c-1a92-4f1c-a88f-70c989ce4475 true 1 data data true 1 true e17c6f8e-a5ea-4bd3-aaea-da70d3cd87dd 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 9360 24464 59 20 9399 24474 true Script Variable append b1c93177-8b35-447e-8f30-47d58103f603 true append append true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 9360 24484 59 20 9399 24494 true Script Variable activate 4da56cd5-bed4-40c4-840a-4d1d216ad88b true activate activate true 0 true 0d3a8ff7-6367-4449-b2bb-7d0133a495f9 1 3cda2745-22ac-4244-9b04-97a5255fa60f 9360 24504 59 20 9399 24514 true Script Variable clearFile 1068cd7c-aac2-4352-a3ac-146a1de3b166 true clearFile clearFile true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 9360 24524 59 20 9399 24534 Print, Reflect and Error streams c74f25fe-befe-495f-862b-42d5739f5edc true out out false 0 9449 24444 22 50 9461.5 24469 Output parameter A 1fd63a93-e4fb-4d8a-b24b-a0051b8402c4 true A A false 0 9449 24494 22 50 9461.5 24519 06953bda-1d37-4d58-9b38-4b3c74e54c8f File Path Contains a collection of file paths false All files|*.* 2b25da2e-7e50-4fef-8021-89e37730bacf true File Path File Path false 0 9394 24576 50 24 9419.906 24588.22 1 1 {0} false C:\VSC.O____EPAHS_LANGIS____STNEMGES_4201____HTOMS_LEVEL_3_DIOMGIS_ERUTAWRUC_RAENIL_DEPAM_SEMIT_4_NOITISNART_EGDE_LUF____O____FUL_EDGE_TRANSITION_4_TIMES_MAPED_LINEAR_CURWATURE_SIGMOID_3_LEVEL_SMOTH____1024_SEGMENTS____SIGNAL_SHAPE____O.CSV a8b97322-2d53-47cd-905e-b932c3ccd74e Button Button object with two values False True 0d3a8ff7-6367-4449-b2bb-7d0133a495f9 true Button false 0 9383 24402 66 22 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8bec9f0b-acb3-4318-b690-7f524d24faa3 true Panel false 0 b7826491-b185-412e-9d32-92b7cbe0cbaf 1 Double click to edit panel content… 7705 24573 194 292 0 0 0 7705.751 24573.27 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers f2ae82af-893f-4877-be23-51a1c9ac4592 X*4 true Number Number false 314ba323-fca5-451e-b5c9-1e0cee8c9c84 1 7946 26537 53 24 7982.941 26549.61 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 949b3dc2-93e7-4b6b-94f6-42008f1ca88b X*4 true Number Number false 314ba323-fca5-451e-b5c9-1e0cee8c9c84 1 8679 25858 53 24 8715.031 25870.21 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers c4219dab-2b45-451a-9f35-b150c1719680 X*4 true Number Number false 314ba323-fca5-451e-b5c9-1e0cee8c9c84 1 9393 26752 53 24 9429.133 26764.93 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true c0c5cf9e-a76c-48c0-8409-578eb6c6bd0b true Curve Curve false e67debd2-544c-4a62-830a-f5782ec6d95b 1 7948 26495 50 24 7973.112 26507.4 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 52abf5f7-6725-4187-9689-0f84a0e7c3ce true Expression Expression 7703 24971 194 28 7803 24985 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 782220e2-f954-44c4-b826-078c251b8367 true Variable O O true 37df28d9-8586-4c7b-a27d-45da18678ae7 1 7705 24973 14 24 7713.5 24985 Result of expression 72f0e32d-be37-4f0a-bbc7-be9b276d4b10 true Result false 0 7886 24973 9 24 7892 24985 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5c3f9e81-3d49-45aa-b872-ea80a910db14 true Expression Expression 8045 24971 194 28 8145 24985 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 85ddd55b-42bb-456d-bac6-f734b7e309ad true Variable O O true 94347c95-768a-47fd-8559-3a3d676c08c0 1 8047 24973 14 24 8055.5 24985 Result of expression efcca8ec-2d30-438f-91cd-ec16d996422c true Result false 0 8228 24973 9 24 8234 24985 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.0000000000}",O) true 173d3877-9b54-4d39-bc8a-a9d714d53b98 true Expression Expression 7657 24925 285 28 7802 24939 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 03653019-0e81-4e2c-b044-69aec5002780 true Variable O O true 37df28d9-8586-4c7b-a27d-45da18678ae7 1 7659 24927 14 24 7667.5 24939 Result of expression afcf22ba-d1d3-46ed-99ae-25ef2b8c08b2 true Result false 0 7931 24927 9 24 7937 24939 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:0.00000000000000}",O) true e3ad63ac-cab3-425e-bc6e-77ef52eae732 true Expression Expression 7983 24925 318 28 8145 24939 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable fafbc7da-03fa-4b0a-be17-928136a8e8a0 true Variable O O true 94347c95-768a-47fd-8559-3a3d676c08c0 1 7985 24927 14 24 7993.5 24939 Result of expression 9a626f9b-35e2-4fb5-b530-6aa0f18281b3 true Result false 0 8290 24927 9 24 8296 24939 8ec86459-bf01-4409-baee-174d0d2b13d0 Data Contains a collection of generic data true c36c35db-46d3-471e-bf13-99083fb06848 true Data Data false efcca8ec-2d30-438f-91cd-ec16d996422c 1 8119 24884 50 24 8144.112 24896.22 8ec86459-bf01-4409-baee-174d0d2b13d0 Data Contains a collection of generic data true b7826491-b185-412e-9d32-92b7cbe0cbaf true Data Data false afcf22ba-d1d3-46ed-99ae-25ef2b8c08b2 1 7777 24884 50 24 7802.112 24896.7 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true 9c8e42ec-afbe-4493-a857-2910b3a3d5d1 true Scale Scale 7886 26058 154 64 7970 26090 Base geometry 3847a3dc-7c92-40d1-8b7b-bb3e547e5944 true Geometry Geometry true c0c5cf9e-a76c-48c0-8409-578eb6c6bd0b 1 7888 26060 67 20 7931 26070 Center of scaling fcaacee8-0396-4fda-a648-d9371b71b857 true Center Center false 0 7888 26080 67 20 7931 26090 1 1 {0} 0 0 0 Scaling factor 69f241da-74c1-4332-85a4-86fd1ff85dde 2^X true Factor Factor false 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b 1 7888 26100 67 20 7931 26110 1 1 {0} 0.5 Scaled geometry 9eb06eeb-44df-4f76-a253-e3e979a8c409 true Geometry Geometry false 0 7985 26060 53 30 8013 26075 Transformation data 50c4c37f-0547-4e81-9732-d9fff228a884 true Transform Transform false 0 7985 26090 53 30 8013 26105 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true dda26e08-664b-4b02-8304-34bddc8ec9d8 true Scale Scale 7886 25975 154 64 7970 26007 Base geometry 5fcbe13d-12ef-471c-9321-38c909d62e55 true Geometry Geometry true 43239747-5011-4f84-82c8-9838b5a52246 1 7888 25977 67 20 7931 25987 Center of scaling a4e572d9-5a64-4914-8660-0374d389941d true Center Center false 0 7888 25997 67 20 7931 26007 1 1 {0} 0 0 0 Scaling factor a4edf956-f052-482c-8046-5c76b702b153 2^X true Factor Factor false 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b 1 7888 26017 67 20 7931 26027 1 1 {0} 1000 Scaled geometry b925096e-42ca-48e1-864c-148562f35cc8 true Geometry Geometry false 0 7985 25977 53 30 8013 25992 Transformation data 6ef435be-c9eb-4f96-9131-2dbdb6eb27c8 true Transform Transform false 0 7985 26007 53 30 8013 26022 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true cd4aaa78-bb6c-43bd-ae4e-037d66f67954 true Scale Scale 7894 25829 154 64 7978 25861 Base geometry 7dcc7c56-2990-4356-a903-1d9b61b4b816 true Geometry Geometry true 4540e1d9-0aa8-45ba-b2e6-c402a16ccd98 1 7896 25831 67 20 7939 25841 Center of scaling 8a44dcdb-3d64-4b11-b401-0db1b5ee2dbd true Center Center false 0 7896 25851 67 20 7939 25861 1 1 {0} 0 0 0 Scaling factor 1d036fb0-b50c-4552-af8f-5163ae45e385 1/2^X true Factor Factor false 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b 1 7896 25871 67 20 7939 25881 1 1 {0} 1000 Scaled geometry decde381-1034-4ed6-b96f-3a09ec3ed8a9 true Geometry Geometry false 0 7993 25831 53 30 8021 25846 Transformation data 04ffc2cf-8e67-45f0-b395-a675c7b0e610 true Transform Transform false 0 7993 25861 53 30 8021 25876 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b true Relay false 0d5480fd-b809-4f0b-985d-ac75960fc64f 1 7951 26122 40 16 7971 26130 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 304e5ccb-5a35-4e0c-8b92-206985fc9cf3 true Digit Scroller Digit Scroller false 0 12 Digit Scroller 11 16.0 7848 26210 250 20 7848.336 26210.9 84627490-0fb2-4498-8138-ad134ee4cb36 Curve | Curve Solve intersection events for two curves. true 25493dac-1f0f-4b75-8b92-6eec422efc11 true Curve | Curve Curve | Curve 7898 25911 146 64 7959 25943 First curve c154949d-13a1-4de2-85ea-38b734e9424f true Curve A Curve A false 9eb06eeb-44df-4f76-a253-e3e979a8c409 1 7900 25913 44 30 7923.5 25928 Second curve 039a2f18-cf5c-461b-be77-ab9798fd34f2 true Curve B Curve B false b925096e-42ca-48e1-864c-148562f35cc8 1 7900 25943 44 30 7923.5 25958 1 Intersection events 4540e1d9-0aa8-45ba-b2e6-c402a16ccd98 true 1 Points Points false 0 7974 25913 68 20 8001.5 25923 1 Parameters on first curve a146daca-813a-45b0-a027-20dcb746cf60 true Params A Params A false 0 7974 25933 68 20 8001.5 25943 1 Parameters on second curve 1fce959b-2d31-4cda-8868-0ad2b2b42d7e true Params B Params B false 0 7974 25953 68 20 8001.5 25963 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 6dd5f4ed-a71f-43b5-9556-d3ab2e83be7a true Deconstruct Deconstruct 7887 25661 168 64 7934 25693 Input point d4306bac-3039-4cdb-98c4-e48499c1fd57 true Point Point false decde381-1034-4ed6-b96f-3a09ec3ed8a9 1 7889 25663 30 60 7905.5 25693 Point {x} component 08fe9886-fede-4488-90f0-870c2ef5d207 ABS(X) true 2 X component X component false 0 7949 25663 104 20 7984.5 25673 Point {y} component 662c3174-f77d-4ffa-bec9-f9cd4fd2e6c0 ABS(X) true 2 Y component Y component false 0 7949 25683 104 20 7984.5 25693 Point {z} component 22ab65a9-fdf7-4462-96d1-da310167ac92 ABS(X) true 2 Z component Z component false 0 7949 25703 104 20 7984.5 25713 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. true ed78892a-320b-476c-8c93-6a7fa7e08ddd true List Length List Length 7924 25782 93 28 7963 25796 1 Base list 61d82b8f-c27e-42c0-9bff-242aca4a8ba5 true List List false decde381-1034-4ed6-b96f-3a09ec3ed8a9 1 7926 25784 22 24 7938.5 25796 Number of items in L 9f0a55bc-be29-46c8-92f5-19cf8f55bb4f true Length Length false 0 7978 25784 37 24 7998 25796 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 67028c15-5934-458f-ab2a-9f38d9cd0ed5 true Panel false 1 9f0a55bc-be29-46c8-92f5-19cf8f55bb4f 1 Double click to edit panel content… 7949 25746 50 20 0 0 0 7949.137 25746.54 255;255;255;255 false false true false false true 9445ca40-cc73-4861-a455-146308676855 Range Create a range of numbers. true e6d66e97-4999-47ab-aafa-1244fd466ec2 true Range Range 7908 25453 126 44 7982 25475 Domain of numeric range 9017495a-bad7-47d0-9a30-80301583303f true Domain Domain false f5633d88-5c8d-4738-9ca4-78f1f3b10604 1 7910 25455 57 20 7948 25465 1 1 {0} 0 1 Number of steps 98ded187-e65c-4902-9208-3f83d4358b44 X-2 true Steps Steps false 67028c15-5934-458f-ab2a-9f38d9cd0ed5 1 7910 25475 57 20 7948 25485 1 1 {0} 10 1 Range of numbers 47f14d51-300b-482b-8dce-d227d4d36a41 true Range Range false 0 7997 25455 35 40 8016 25475 d1a28e95-cf96-4936-bf34-8bf142d731bf Construct Domain Create a numeric domain from two numeric extremes. true 9ac4b811-e818-4cae-b5a8-1125c38df8ce true Construct Domain Construct Domain 7893 25515 156 44 7991 25537 Start value of numeric domain 5de9b5e3-05b5-4d96-a127-d797480cf6e4 true Domain start Domain start false 0 7895 25517 81 20 7945 25527 1 1 {0} 0 End value of numeric domain cd414644-3cdd-49c2-a949-93d34363cefc X-2 true Domain end Domain end false 67028c15-5934-458f-ab2a-9f38d9cd0ed5 1 7895 25537 81 20 7945 25547 1 1 {0} 1 Numeric domain between {A} and {B} f5633d88-5c8d-4738-9ca4-78f1f3b10604 true Domain Domain false 0 8006 25517 41 40 8028 25537 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. true 26626c04-163a-4a20-980f-a24b2f442126 true List Item List Item 7918 25369 106 64 7982 25401 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list f6f764a0-a6d4-4a7b-b3db-bf3cc6ffe82a true 1 List List false 834ee95c-4eac-4530-8a3c-29c57058ad84 1 7920 25371 47 20 7953 25381 Item index e9ce2f59-3303-4a53-ba0d-15261a26e9ff true Index Index false 47f14d51-300b-482b-8dce-d227d4d36a41 1 7920 25391 47 20 7953 25401 1 1 {0} 0 Wrap index to list bounds 478b03d0-58e3-42d1-a713-e7fca9401b60 true Wrap Wrap false 0 7920 25411 47 20 7953 25421 1 1 {0} false Item at {i'} 8518e1e8-f491-41ba-8c28-753b8dee029c true 1 false Item i false 0 7997 25371 25 60 8003 25401 3581f42a-9592-4549-bd6b-1c0fc39d067b Construct Point Construct a point from {xyz} coordinates. true e7098bff-3c56-4289-ab1d-5e2df2dc2cfb true Construct Point Construct Point 7898 25286 145 64 7980 25318 {x} coordinate a56a7dcb-f55d-49c6-9d98-72ac0015e769 true X coordinate X coordinate false 0 7900 25288 65 20 7934 25298 1 1 {0} 0.5 {y} coordinate 90bab88d-fe52-467e-8783-893ea04b7c4b true Y coordinate Y coordinate false 0 7900 25308 65 20 7934 25318 1 1 {0} 0.5 {z} coordinate cc7e0a61-59ef-46a6-9518-54fffcbceb17 true Z coordinate Z coordinate false 0 7900 25328 65 20 7934 25338 1 1 {0} 0 Point coordinate ccfc0a63-d660-4276-b4c9-ac309204b3cd true 1 Point Point false 0 7995 25288 46 60 8011.5 25318 b7798b74-037e-4f0c-8ac7-dc1043d093e0 Rotate Rotate an object in a plane. true 8429a1af-d262-4516-8ba6-4819d9bce080 true Rotate Rotate 7884 25203 174 64 7952 25235 Base geometry 2354448f-84ae-4964-ae1e-4c8be9e4cc1d true Geometry Geometry true 8518e1e8-f491-41ba-8c28-753b8dee029c 1 7886 25205 51 20 7913 25215 Rotation angle in radians fb8b0864-fea6-4081-b308-2eb08c6eca8d true Angle Angle false 0 false 7886 25225 51 20 7913 25235 1 1 {0} 3.1415926535897931 Rotation plane 22341cb1-b6d4-4f32-a6b9-aa0a2002592a true Plane Plane false ccfc0a63-d660-4276-b4c9-ac309204b3cd 1 7886 25245 51 20 7913 25255 1 1 {0} 0 0 0 1 0 0 0 1 0 Rotated geometry 418b0f69-82c4-44ab-9c99-33ec6ccaf813 true 1 Geometry Geometry false true 0 7967 25205 89 30 7995 25220 Transformation data f1e959a8-313a-4c1d-967f-a14d1ad0a983 true Transform Transform false 0 7967 25235 89 30 7995 25250 3581f42a-9592-4549-bd6b-1c0fc39d067b Construct Point Construct a point from {xyz} coordinates. true 23015bee-c083-4af1-a5dc-e173dadaafa5 true Construct Point Construct Point 7906 25579 129 64 7988 25611 {x} coordinate 0214d13f-f5e0-4573-b5ff-7754e7ab348d true X coordinate X coordinate false 08fe9886-fede-4488-90f0-870c2ef5d207 1 7908 25581 65 20 7942 25591 1 1 {0} 0 {y} coordinate 0b90d6cf-3608-4931-a60e-11be5a299728 true Y coordinate Y coordinate false 662c3174-f77d-4ffa-bec9-f9cd4fd2e6c0 1 7908 25601 65 20 7942 25611 1 1 {0} 0 {z} coordinate 39310936-b23e-42ac-bd00-360d4ededdfe true Z coordinate Z coordinate false 22ab65a9-fdf7-4462-96d1-da310167ac92 1 7908 25621 65 20 7942 25631 1 1 {0} 0 Point coordinate 834ee95c-4eac-4530-8a3c-29c57058ad84 true Point Point false 0 8003 25581 30 60 8019.5 25611 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 1107e188-eef7-4c19-ae98-e31de26131c5 true Merge Merge 7927 25100 87 84 7963 25142 4 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 c83d69f4-9208-4076-96bf-b57d34d098a1 true false Data 1 D1 true 8518e1e8-f491-41ba-8c28-753b8dee029c 1 7929 25102 19 20 7940 25112 2 Data stream 2 f9ab74c4-5174-4db4-8d00-6d5d809f3da7 true false Data 2 D2 true ccfc0a63-d660-4276-b4c9-ac309204b3cd 1 7929 25122 19 20 7940 25132 2 Data stream 3 0aae4231-b0eb-4301-9c22-cb3314c1e15e true false Data 3 D3 true 418b0f69-82c4-44ab-9c99-33ec6ccaf813 1 7929 25142 19 20 7940 25152 2 Data stream 4 bb807ba9-d448-44dd-85ab-b311f681290e true false Data 4 D4 true 0 7929 25162 19 20 7940 25172 2 Result of merge b54f308e-40d5-49cf-9603-04608ca6bb66 true Result Result false 0 7978 25102 34 80 7996.5 25142 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 0d5480fd-b809-4f0b-985d-ac75960fc64f true Number Number false 304e5ccb-5a35-4e0c-8b92-206985fc9cf3 1 7948 26167 50 24 7973.441 26179.03 1 1 {0} 65536 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 23015bee-c083-4af1-a5dc-e173dadaafa5 1 85d75ab8-1a3b-48c1-a00b-452e5ebf23fb Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e67debd2-544c-4a62-830a-f5782ec6d95b true Relay false 145da25a-2a67-48d1-8b10-c024ec21e886 1 8783 27339 40 16 8803 27347 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",ROUND(X, 15)) true ec56aa9b-bf0e-43f9-a278-6ef141612b48 true Expression Expression 8540 25547 326 28 8685 25561 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable a9b4973d-6e2e-4c25-90a7-e65f57c6ce56 true Variable X X true 29a9aaab-a1e8-4621-8fa9-ab9577de3e21 1 8542 25549 14 24 8550.5 25561 Result of expression d2ecb03c-5a84-47f8-afac-17ae45bc6a9a true Result Result false true 0 8814 25549 50 24 8832.5 25561 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",ROUND(Y, 15)) true 372c9713-8b48-4080-bca3-e19d37da43ba true Expression Expression 8532 25319 325 28 8676 25333 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable d9894b40-483e-47a3-beb8-5c0e8978e30d true Variable Y Y true 66983311-dc16-4275-bf06-bf946c994bad 1 8534 25321 13 24 8542 25333 Result of expression ad59754d-108e-4cfa-9319-1b92867cb4a7 true Result Result false true 0 8805 25321 50 24 8823.5 25333 22990b1f-9be6-477c-ad89-f775cd347105 Flip Curve Flip a curve using an optional guide curve. true cf3fd21c-3ff1-405f-8188-7c3e36e89091 true Flip Curve Flip Curve 9366 26234 100 44 9416 26256 Curve to flip b593cb0c-3850-43cb-ab64-fb084a2ca7e3 true Curve Curve false 76b2a5e6-be01-4e1b-a790-d5e42bb7344e 1 9368 26236 33 20 9386 26246 Optional guide curve a253bdd5-f900-4077-99d2-697a4d89362c true Guide Guide true 0 9368 26256 33 20 9386 26266 Flipped curve e8f53765-0f87-4d4c-8084-d0da5bf9ce22 true Curve Curve false 0 9431 26236 33 20 9449 26246 Flip action c43c0669-746a-411a-938a-c9ae8295f8b2 true Flag Flag false 0 9431 26256 33 20 9449 26266 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true f9dc0f84-f005-4def-9a32-1595c75a315b true Stream Filter Stream Filter 9382 26114 89 64 9427 26146 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Index of Gate stream 882b4266-a91e-46f7-86d2-b4f193520620 true Gate Gate false 68fed558-dddc-4bde-84cf-30a1dc52175b 1 9384 26116 28 20 9399.5 26126 1 1 {0} 0 2 Input stream at index 0 b6e0d67c-e5f8-423f-a932-7b958de629c9 true false Stream 0 0 true 76b2a5e6-be01-4e1b-a790-d5e42bb7344e 1 9384 26136 28 20 9399.5 26146 2 Input stream at index 1 85e8f5a0-9c99-4451-a993-addcc86813fb true false Stream 1 1 true e8f53765-0f87-4d4c-8084-d0da5bf9ce22 1 9384 26156 28 20 9399.5 26166 2 Filtered stream 6909d3f9-3b76-40d3-9d12-d3bb72e99f02 true false Stream S(0) false 0 9442 26116 27 60 9457 26146 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 68fed558-dddc-4bde-84cf-30a1dc52175b true Number Slider false 0 9349 26209 150 20 9349.287 26209.1 0 1 0 1 0 0 0 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 9f05096a-c595-4115-8939-54713cb925f1 Panel false 0 0 128 0.00549350440 256 0.001373312102167 11424 24178 174 33 0 0 0 11424.97 24178.9 255;255;255;255 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6c2d9e2d-29b0-4b0d-8c17-8fe4bfcaa494 Panel false 0 0 0.001373312102167*4 11427 24133 168 20 0 0 0 11427.7 24133.24 255;255;255;255 true true true false false true d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 442e6075-dae1-49d8-bd6c-8df4b2e5e279 true Curve Curve false adf83129-215a-4938-be3d-47d1a82da650 1 8859 17795 50 24 8884.311 17807.66 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 314ba323-fca5-451e-b5c9-1e0cee8c9c84 true Number Number false fce57c1e-7c8c-442e-8c34-f03322b193c3 1 8689 27122 50 24 8714.371 27134.94 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 8dcb8ac5-af0b-497e-9f9f-5a59c21d7739 true Evaluate Length Evaluate Length 4675 518 144 64 4749 550 Curve to evaluate 860d2d67-c77d-41f0-b314-755a6c77da1f true Curve Curve false bce9593a-6c88-44fe-866b-f0d44901cbff 1 4677 520 57 20 4707 530 Length factor for curve evaluation c6ae725e-4c9d-4aac-b254-3740de47ffb9 true Length Length false 0 4677 540 57 20 4707 550 1 8 {0} 0.0625 0.1875 0.3125 0.4375 0.5625 0.6875 0.8125 0.9375 If True, the Length factor is normalized (0.0 ~ 1.0) 47a809dc-657a-4cba-a5fd-7f8ace0ab7a3 true Normalized Normalized false 0 4677 560 57 20 4707 570 1 1 {0} true Point at the specified length e0c83f5e-8e11-4367-8a1c-374721201adf true Point Point false 0 4764 520 53 20 4792 530 Tangent vector at the specified length 3d4b1ebe-c143-4653-92e5-c0752a0ab481 true Tangent Tangent false 0 4764 540 53 20 4792 550 Curve parameter at the specified length 090c1148-8402-4d9b-90cb-d43e3d382ea6 true Parameter Parameter false 0 4764 560 53 20 4792 570 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 7e4a3e15-e107-44d4-949a-9c8b693467de true Curve Curve false 2f741b85-28a7-40bc-a56a-d8c6b82e5b30 1 4723 480 50 24 4748.504 492.4573 50b204ef-d3de-41bb-a006-02fba2d3f709 Circle TanTan Create a circle tangent to two curves. true 3db8404e-2571-4eff-9bdf-8e6e83dd76c6 true Circle TanTan Circle TanTan 4692 389 110 64 4753 421 First curve for tangency constraint f18dc38d-eb33-49b6-b9a4-37e4953b3a73 true Curve A Curve A false bce9593a-6c88-44fe-866b-f0d44901cbff 1 4694 391 44 20 4717.5 401 Second curve for tangency constraint e3e79cc0-4f7f-40e8-a81c-9aa9fd6bb224 true Curve B Curve B false 7e4a3e15-e107-44d4-949a-9c8b693467de 1 4694 411 44 20 4717.5 421 Circle center point guide d2756187-a685-4afc-946d-2850c8a167d4 true Point Point false e0c83f5e-8e11-4367-8a1c-374721201adf 1 4694 431 44 20 4717.5 441 Resulting circle 4fef126c-5d5b-41b7-bbef-ae38bb6da4ff true Circle Circle false 0 4768 391 32 60 4785.5 421 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true bce9593a-6c88-44fe-866b-f0d44901cbff true Curve Curve false 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c 1 4723 612 50 24 4748.736 624.7593 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 8dcb8ac5-af0b-497e-9f9f-5a59c21d7739 7e4a3e15-e107-44d4-949a-9c8b693467de 3db8404e-2571-4eff-9bdf-8e6e83dd76c6 bce9593a-6c88-44fe-866b-f0d44901cbff 4 67e87bed-97bd-4fe6-a495-b4bf8cba66a7 Group 6f93d366-919f-4dda-a35e-ba03dd62799b Sort List Sort a list of numeric keys. true 10a885e1-c62c-4884-aac2-5a603349ad8c true Sort List Sort List 4714 5107 166 44 4779 5129 2 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 8ec86459-bf01-4409-baee-174d0d2b13d0 2 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 8ec86459-bf01-4409-baee-174d0d2b13d0 1 List of sortable keys c5e45e48-13ff-409f-b940-20d2c289996b true Keys Keys false 97db0094-b0e0-490b-aee3-b5ad1a35b7ce 1 4716 5109 48 20 4741.5 5119 1 Optional list of values to sort synchronously d25ba8d2-c317-4ee0-9a38-3456853c33e3 true Values Values A Values A true 0e94c4e7-ee71-4c40-aa99-84d17a235c6f 1 4716 5129 48 20 4741.5 5139 1 Sorted keys 991955a3-8008-4e57-8dbb-7ba03cd9f567 true 1 Keys Keys false true 0 4794 5109 84 20 4819.5 5119 1 Synchronous values in Values A 069a4f8e-92dd-4b26-85d9-3bf73f839545 true 1 Values Values A Values A false true 0 4794 5129 84 20 4819.5 5139 c75b62fa-0a33-4da7-a5bd-03fd0068fd93 Length Measure the length of a curve. true 5d5e6fe9-12d4-4847-aedd-a0138f3348ac true Length Length 4745 5169 104 28 4795 5183 Curve to measure a9b71273-d374-4bb6-9799-ec2437c44412 true Curve Curve false 0e94c4e7-ee71-4c40-aa99-84d17a235c6f 1 4747 5171 33 24 4765 5183 Curve length 97db0094-b0e0-490b-aee3-b5ad1a35b7ce true Length Length false 0 4810 5171 37 24 4830 5183 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1a9fea67-24bb-4a73-b097-d1198a77d87c true Panel false 0 291db62f-2a0f-4e4f-95e0-a6e5c4e4b7b5 1 Double click to edit panel content… 4736 4985 124 20 0 0 0 4736.67 4985.061 255;255;255;255 false false true false false true 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. true 336373ee-9098-4a65-a9fc-245b1728e183 true List Item List Item 4751 5024 74 64 4799 5056 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list ace7a9cf-0d93-4dd2-92e7-78d2e22247b1 true List List false 991955a3-8008-4e57-8dbb-7ba03cd9f567 1 4753 5026 31 20 4770 5036 Item index 1600e066-8870-495b-97d9-3c995d4970a7 true Index Index false 0 4753 5046 31 20 4770 5056 1 1 {0} 0 Wrap index to list bounds 62143c9f-d88e-4125-b9a3-15097957e834 true Wrap Wrap false 0 4753 5066 31 20 4770 5076 1 1 {0} false Item at {i'} 291db62f-2a0f-4e4f-95e0-a6e5c4e4b7b5 true false Item i false 0 4814 5026 9 60 4820 5056 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 10a885e1-c62c-4884-aac2-5a603349ad8c 5d5e6fe9-12d4-4847-aedd-a0138f3348ac 1a9fea67-24bb-4a73-b097-d1198a77d87c 336373ee-9098-4a65-a9fc-245b1728e183 0e94c4e7-ee71-4c40-aa99-84d17a235c6f 5 d471759a-2aac-4cde-99fb-c4eeef356581 Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 0e94c4e7-ee71-4c40-aa99-84d17a235c6f true Relay false 76eb6709-1b5d-4393-a09b-053dd6f6870c 1 4775 5215 40 16 4795 5223 6f93d366-919f-4dda-a35e-ba03dd62799b Sort List Sort a list of numeric keys. true 68082c19-68a1-4f98-8cf1-6a223a630ca2 true Sort List Sort List 4690 1047 166 44 4755 1069 2 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 8ec86459-bf01-4409-baee-174d0d2b13d0 2 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 8ec86459-bf01-4409-baee-174d0d2b13d0 1 List of sortable keys 77df0001-99a0-4e30-b846-5ad09fec4152 true Keys Keys false e17faae2-0363-4357-93c9-bd2d227f6f95 1 4692 1049 48 20 4717.5 1059 1 Optional list of values to sort synchronously 77b4169b-7957-4219-a516-fd1c01fc17a8 true Values Values A Values A true fa57ee60-3e1a-493e-b919-cde396c0d34e 1 4692 1069 48 20 4717.5 1079 1 Sorted keys 141ac252-7681-4aae-ad37-2fdcb02e31d6 true 1 Keys Keys false true 0 4770 1049 84 20 4795.5 1059 1 Synchronous values in Values A 95f460fb-fea2-4898-9b96-c6614fd6a480 true 1 Values Values A Values A false true 0 4770 1069 84 20 4795.5 1079 c75b62fa-0a33-4da7-a5bd-03fd0068fd93 Length Measure the length of a curve. true 586b67fb-8013-4a19-afbe-58c6fb976d98 true Length Length 4721 1109 104 28 4771 1123 Curve to measure 221f67e4-8fca-45c2-a2a5-6ea91c10ab7e true Curve Curve false fa57ee60-3e1a-493e-b919-cde396c0d34e 1 4723 1111 33 24 4741 1123 Curve length e17faae2-0363-4357-93c9-bd2d227f6f95 true Length Length false 0 4786 1111 37 24 4806 1123 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4cdc7d62-de0e-4133-8e9f-dcf36557e740 true Panel false 0 2deb309b-4bbf-42a4-b1f0-3c49cf248f07 1 Double click to edit panel content… 4714 886 124 20 0 0 0 4714.143 886.7187 255;255;255;255 false false true false false true 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. true 2dae60c8-92c8-445a-8e3a-e4e4ecca8654 true List Item List Item 4736 964 74 64 4784 996 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list 304addc7-7081-4df9-9b59-ec9e5daf6fb1 true List List false 141ac252-7681-4aae-ad37-2fdcb02e31d6 1 4738 966 31 20 4755 976 Item index 026c004f-2d7f-41db-9d3b-f75ede8f2ecb true Index Index false 0 4738 986 31 20 4755 996 1 1 {0} 0 Wrap index to list bounds 33de4a30-e606-4c37-baab-a5e45944b6bd true Wrap Wrap false 0 4738 1006 31 20 4755 1016 1 1 {0} false Item at {i'} 2deb309b-4bbf-42a4-b1f0-3c49cf248f07 true false Item i false 0 4799 966 9 60 4805 996 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 68082c19-68a1-4f98-8cf1-6a223a630ca2 586b67fb-8013-4a19-afbe-58c6fb976d98 4cdc7d62-de0e-4133-8e9f-dcf36557e740 2dae60c8-92c8-445a-8e3a-e4e4ecca8654 fa57ee60-3e1a-493e-b919-cde396c0d34e 93132e8b-ab93-41d0-b5e4-ef3b610ae451 70967217-7c70-4101-a43c-def289a8f2ba d18c37a3-8870-4d84-837d-a09e2feff9b4 a7a02c85-5134-4dc0-892c-7aca3ec86465 9 7d18f7f1-21bd-43ec-9f05-0ac476eaa41b Group b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object fa57ee60-3e1a-493e-b919-cde396c0d34e true Relay false c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 1 4753 1155 40 16 4773 1163 9c85271f-89fa-4e9f-9f4a-d75802120ccc Division Mathematical division true 93132e8b-ab93-41d0-b5e4-ef3b610ae451 true Division Division 4732 811 82 44 4763 833 Item to divide (dividend) a1b9f6dc-a89a-4131-b7cd-1eb7dea7c26a true A A false 70967217-7c70-4101-a43c-def289a8f2ba 1 4734 813 14 20 4742.5 823 Item to divide with (divisor) 95dcf4c4-435e-4079-b9c9-002dc7e6b904 true B B false 2deb309b-4bbf-42a4-b1f0-3c49cf248f07 1 4734 833 14 20 4742.5 843 The result of the Division 8e2db5fd-f520-4350-b05e-147b54bdc6e1 true Result Result false 0 4778 813 34 40 4796.5 833 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 70967217-7c70-4101-a43c-def289a8f2ba true Relay false 291db62f-2a0f-4e4f-95e0-a6e5c4e4b7b5 1 4753 927 40 16 4773 935 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values d18c37a3-8870-4d84-837d-a09e2feff9b4 true Panel false 0 0f7b6154-1db3-4b52-938e-66ae1f49d020 1 Double click to edit panel content… 4707 720 138 20 0 0 0 4707.199 720.1113 255;255;255;255 false false true false false true 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",X) true a7a02c85-5134-4dc0-892c-7aca3ec86465 true Expression Expression 4656 757 235 28 4756 771 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 692bab05-e1ee-4fd8-a3e1-268c6f6e54c5 true Variable X X true 8e2db5fd-f520-4350-b05e-147b54bdc6e1 1 4658 759 14 24 4666.5 771 Result of expression 0f7b6154-1db3-4b52-938e-66ae1f49d020 true Result Result false true 0 4839 759 50 24 4857.5 771 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers d8c67dd0-43fb-43d1-9d5a-230f2f0d1341 true Digit Scroller false 0 12 1 0.03125000000 4185 5295 250 20 4185.428 5295.365 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6b23f605-1533-4de6-9a99-7e5d71630123 Relay false 442e6075-dae1-49d8-bd6c-8df4b2e5e279 1 8193 27355 40 16 8213 27363 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 9d0d1d25-33a3-42a0-a9f9-e43449abed81 true Curve Curve false 6b23f605-1533-4de6-9a99-7e5d71630123 1 8472 27896 50 24 8497.052 27908.87 ccfd6ba8-ecb1-44df-a47e-08126a653c51 Curve Domain Measure and set the curve domain true 27269ca2-746d-493e-bd7f-1659cea6783b true Curve Domain Curve Domain 8438 27834 116 44 8496 27856 Curve to measure/modify c14647d7-1e8a-44b0-9699-0889411af5aa true Curve Curve false 9d0d1d25-33a3-42a0-a9f9-e43449abed81 1 8440 27836 41 20 8462 27846 Optional domain, if omitted the curve will not be modified. ecea4d9b-9629-44bd-adc3-eb6ca5e8c856 true Domain Domain true 0 8440 27856 41 20 8462 27866 Curve with new domain. cbbcf946-4aec-4d46-b72b-a606f7a104bf true Curve Curve false 0 8511 27836 41 20 8533 27846 Domain of original curve. 1c3d95c6-f7c9-4c5d-8b42-e0ca74be1f81 true Domain Domain false 0 8511 27856 41 20 8533 27866 429cbba9-55ee-4e84-98ea-876c44db879a Sub Curve Construct a curve from the sub-domain of a base curve. true f4b20cd0-ad6e-4694-a5db-9f4fb1e8a455 true Sub Curve Sub Curve 8434 27647 124 44 8508 27669 Base curve b2054661-b9be-4a99-80b8-0940f81794fc true Base curve Base curve false cbbcf946-4aec-4d46-b72b-a606f7a104bf 1 8436 27649 57 20 8466 27659 Sub-domain to extract a00cd4a1-6e37-4826-88fd-51d54410a69a true Domain Domain false 9334ae67-07c7-4834-8b06-7a33f4821639 1 8436 27669 57 20 8466 27679 Resulting sub curve 28ffb627-e1d3-4ada-af3e-d72a32b969c3 true Curve Curve false 0 8523 27649 33 40 8541 27669 825ea536-aebb-41e9-af32-8baeb2ecb590 Deconstruct Domain Deconstruct a numeric domain into its component parts. true b1869d86-deda-4a0d-9417-d722ff5a6f76 true Deconstruct Domain Deconstruct Domain 8444 27772 104 44 8502 27794 Base domain a2c803c9-f57f-499b-9b73-ba3c6b2d2ab7 true Domain Domain false 1c3d95c6-f7c9-4c5d-8b42-e0ca74be1f81 1 8446 27774 41 40 8468 27794 Start of domain 31ee45b7-0163-43d0-be13-20bb206e237a true Start Start false 0 8517 27774 29 20 8533 27784 End of domain dee37b89-9305-4a36-9179-6d97ca46646d true End End false 0 8517 27794 29 20 8533 27804 d1a28e95-cf96-4936-bf34-8bf142d731bf Construct Domain Create a numeric domain from two numeric extremes. true 055cc576-c38c-4518-a0b7-02351a6ac391 true Construct Domain Construct Domain 8418 27709 156 44 8516 27731 Start value of numeric domain b7629d1e-f2a9-4510-81c4-bb8df98eeaea X/2 true Domain start Domain start false dee37b89-9305-4a36-9179-6d97ca46646d 1 8420 27711 81 20 8470 27721 1 1 {0} 0 End value of numeric domain fa41cdac-411c-4290-8d64-738b3324437b true Domain end Domain end false dee37b89-9305-4a36-9179-6d97ca46646d 1 8420 27731 81 20 8470 27741 1 1 {0} 1 Numeric domain between {A} and {B} 9334ae67-07c7-4834-8b06-7a33f4821639 true Domain Domain false 0 8531 27711 41 40 8553 27731 e9eb1dcf-92f6-4d4d-84ae-96222d60f56b Move Translate (move) an object along a vector. true 450d1836-007e-42fe-9e6e-fe593816a576 true Move Move 8420 27575 138 44 8488 27597 Base geometry 68453121-dd05-471b-a271-3b0e6e0e6681 true Geometry Geometry true 28ffb627-e1d3-4ada-af3e-d72a32b969c3 1 8422 27577 51 20 8449 27587 Translation vector e88170f6-4ac7-4245-a6a9-6b3334fc6328 true Motion Motion false 0 8422 27597 51 20 8449 27607 1 1 {0} -0.5 -0.5 0 Translated geometry 44ac77be-fbeb-466e-bddb-7f1328440517 true Geometry Geometry false 0 8503 27577 53 20 8531 27587 Transformation data df6843f5-81ac-4924-88f4-bf5656d3e788 true Transform Transform false 0 8503 27597 53 20 8531 27607 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 Scale Scale an object uniformly in all directions. true c29714be-f7d1-4db0-91e2-ed8c9ccfa8c6 true Scale Scale 8420 27488 138 64 8488 27520 Base geometry 4d9bfc44-2c61-4e4f-bb88-4b8e0e181ef0 true Geometry Geometry true 44ac77be-fbeb-466e-bddb-7f1328440517 1 8422 27490 51 20 8449 27500 Center of scaling aedb4df6-b9b1-4980-9b64-4f53b9963a22 true Center Center false 0 8422 27510 51 20 8449 27520 1 1 {0} 0 0 0 Scaling factor eea675a8-779d-4d23-82f1-8d86d1584a87 true Factor Factor false 0 8422 27530 51 20 8449 27540 1 1 {0} 2 Scaled geometry 7dcd6b2d-8a1b-43b9-a02b-7edb3c6aca31 true Geometry Geometry false 0 8503 27490 53 30 8531 27505 Transformation data a359d01a-11cf-4ae0-abbb-97ed147383af true Transform Transform false 0 8503 27520 53 30 8531 27535 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 145da25a-2a67-48d1-8b10-c024ec21e886 true Curve Curve false 7dcd6b2d-8a1b-43b9-a02b-7edb3c6aca31 1 8463 27443 50 24 8488.357 27455.06 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9d0d1d25-33a3-42a0-a9f9-e43449abed81 27269ca2-746d-493e-bd7f-1659cea6783b f4b20cd0-ad6e-4694-a5db-9f4fb1e8a455 b1869d86-deda-4a0d-9417-d722ff5a6f76 055cc576-c38c-4518-a0b7-02351a6ac391 450d1836-007e-42fe-9e6e-fe593816a576 c29714be-f7d1-4db0-91e2-ed8c9ccfa8c6 145da25a-2a67-48d1-8b10-c024ec21e886 8 63aabaa5-28e3-4fc1-b4ee-df782655ab68 Group 3581f42a-9592-4549-bd6b-1c0fc39d067b Construct Point Construct a point from {xyz} coordinates. true 46310504-a1a9-4ae4-8be0-ff0a4342b67d Construct Point Construct Point 3193 7589 129 64 3275 7621 {x} coordinate 331b9071-518c-4af3-8dbc-1d55b63bdb34 X coordinate X coordinate false bc40f179-b9f6-45ce-b849-e07a5cd91521 1 3195 7591 65 20 3229 7601 1 1 {0} 0 {y} coordinate 847f8f61-ae3d-4ebe-b6cb-50bccad080cf Y coordinate Y coordinate false 8facceac-89af-473f-a30b-a8fc1994c445 1 3195 7611 65 20 3229 7621 1 1 {0} 0 {z} coordinate f282d42a-de2a-45f0-9448-e10cdddd1757 Z coordinate Z coordinate false 0 3195 7631 65 20 3229 7641 1 1 {0} 0 Point coordinate 9f12e306-dfa3-4a81-a306-bc35b527a5e0 Point Point false 0 3290 7591 30 60 3306.5 7621 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. true 8cc65847-9651-467c-aaf7-27e104d88686 Series Series 3182 7709 117 64 3248 7741 First number in the series 06d7d97b-2e43-4bfc-8414-f60af95bfbb9 Start Start false 0 3184 7711 49 20 3218 7721 1 1 {0} 0 Step size for each successive number 267b5351-858f-4fbc-951e-d4c9f82f6e30 1/X Step Step false 51740366-f287-4ff9-a8ff-68fa512a6225 1 3184 7731 49 20 3218 7741 1 1 {0} 1 Number of values in the series cc6de1d1-00ba-4e9a-ac02-082d7c92da2e X+1 Count Count false 51740366-f287-4ff9-a8ff-68fa512a6225 1 3184 7751 49 20 3218 7761 1 1 {0} 17 1 Series of numbers bc40f179-b9f6-45ce-b849-e07a5cd91521 Series Series false 0 3263 7711 34 60 3281.5 7741 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression -COS(4*ATAN(1)*X)/2+.5 true 0248f3da-ed00-46b3-94db-bcc43c722729 Expression 3135 7668 235 28 3255 7682 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 63c6df48-d7b9-4003-b79e-041c4b0d58cd Variable X X true bc40f179-b9f6-45ce-b849-e07a5cd91521 1 3137 7670 14 24 3145.5 7682 Result of expression 8facceac-89af-473f-a30b-a8fc1994c445 Result false 0 3359 7670 9 24 3365 7682 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 51740366-f287-4ff9-a8ff-68fa512a6225 Digit Scroller false 0 12 11 256.0 3120 7793 250 20 3120.993 7793.466 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true ff81e62c-1030-404a-86a2-490091017c5f true Interpolate Interpolate 3387 7635 125 84 3454 7677 1 Interpolation points f11cff4f-e968-4d77-b7e0-9bf2ee2e2b7b true Vertices Vertices false 9f12e306-dfa3-4a81-a306-bc35b527a5e0 1 3389 7637 50 20 3415.5 7647 Curve degree 50d54f02-2846-4f7f-8e53-cbe8bb802bfc true Degree Degree false 0 3389 7657 50 20 3415.5 7667 1 1 {0} 3 Periodic curve f5a9e8ab-d090-4367-96cc-f6c7a19234c5 true Periodic Periodic false 0 3389 7677 50 20 3415.5 7687 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 799cb46c-230d-464a-b5a9-02561e2dd37e true KnotStyle KnotStyle false 0 3389 7697 50 20 3415.5 7707 1 1 {0} 1 Resulting nurbs curve ce4203c6-5e7a-4fc1-bfda-d021414b51f1 true Curve Curve false 0 3469 7637 41 26 3491 7650.333 Curve length 0031ccfa-90e1-4470-a298-0a425da7421d true Length Length false 0 3469 7663 41 27 3491 7677 Curve domain e656f53f-431e-4fe3-8b71-9b41f7b17ff9 true Domain Domain false 0 3469 7690 41 27 3491 7703.667 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6b5dde33-2b73-4932-aec6-21f0a310d499 Relay false 863776ad-d527-4591-8dd4-bc625085f22d 1 4346 11478 40 16 4366 11486 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 Number Number false 96971adb-dc6f-4220-b87f-875d4c7c2611 1 6261 6963 50 24 6286.777 6975.872 1 1 {0} 1024 aaa665bd-fd6e-4ccb-8d2c-c5b33072125d Curvature Evaluate the curvature of a curve at a specified parameter. true 8ae45ee4-1438-4251-b4eb-e20159e46a74 Curvature Curvature 6218 6793 137 64 6288 6825 Curve to evaluate 0235bc44-cf65-4397-89a7-81c786729ab2 Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6220 6795 53 30 6248 6810 Parameter on curve domain to evaluate 52bd11a8-9a8d-4328-9e49-fdc583b4fb65 Parameter Parameter false e11887c9-8a2d-4694-9a58-d5c0ef1f7193 1 6220 6825 53 30 6248 6840 Point on curve at {t} f8db5649-328e-4006-ba71-562d43d81b7c Point Point false 0 6303 6795 50 20 6329.5 6805 Curvature vector at {t} 9a8056af-4ac0-4c82-8825-588205c691f0 Curvature Curvature false 0 6303 6815 50 20 6329.5 6825 Curvature circle at {t} 3b12977c-a11f-46b9-8e9b-fc067da9a3e8 Curvature Curvature false 0 6303 6835 50 20 6329.5 6845 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true 58d39e6b-ee89-4621-9a03-8f77186ab6b0 Divide Curve Divide Curve 6224 6876 125 64 6274 6908 Curve to divide 68bcc2ef-3055-416c-983c-5a46c575f54e Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6226 6878 33 20 6244 6888 Number of segments 566171da-31bb-4bfa-b770-da60f917f4cf Count Count false 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 1 6226 6898 33 20 6244 6908 1 1 {0} 10 Split segments at kinks df77a239-8d89-44eb-94bc-f4a7d6b3ca3a Kinks Kinks false 0 6226 6918 33 20 6244 6928 1 1 {0} false 1 Division points 35757b58-f309-4287-864b-8fd8f19bb49e Points Points false 0 6289 6878 58 20 6319.5 6888 1 Tangent vectors at division points 4d851461-2f27-48e5-a8b5-ee5dcfd88103 Tangents Tangents false 0 6289 6898 58 20 6319.5 6908 1 Parameter values at division points e11887c9-8a2d-4694-9a58-d5c0ef1f7193 Parameters Parameters false 0 6289 6918 58 20 6319.5 6928 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true ad8132cb-3abf-4b13-8343-c8709d4759c3 2 Curve Curve false 1a1e1173-cda4-4c91-a252-b2ab4ffd882d 1 6257 7393 53 24 6293.492 7405.687 23862862-049a-40be-b558-2418aacbd916 Deconstruct Arc Retrieve the base plane, radius and angle domain of an arc. true 7d9f14c1-751a-4f85-90ce-62bc5ff4c00e Deconstruct Arc Deconstruct Arc 6229 6712 114 64 6269 6744 Arc or Circle to deconstruct 2b103d58-44b5-4d58-b6ec-13d88be08fb6 Arc Arc false 3b12977c-a11f-46b9-8e9b-fc067da9a3e8 1 6231 6714 23 60 6244 6744 Base plane of arc or circle 6cd89808-2ff0-497c-bdbc-fb339f5e3f88 Base Plane Base Plane false 0 6284 6714 57 20 6314 6724 Radius of arc or circle 21467ea2-702c-47f8-aa77-3b1adc6000a2 Radius Radius false 0 6284 6734 57 20 6314 6744 Angle domain (in radians) of arc cbdadf3a-f368-408f-a975-60126bb356f5 Angle Angle false 0 6284 6754 57 20 6314 6764 797d922f-3a1d-46fe-9155-358b009b5997 One Over X Compute one over x. true eeb5a2ff-80de-44bd-8725-62ba3fb70b8d One Over X One Over X 6236 6216 100 28 6285 6230 Input value 79c5de14-8849-499f-984b-795c4ad27b2b Value Value false a3416d5a-59f0-4afa-ac1b-577f9f8b884d 1 6238 6218 32 24 6255.5 6230 Output value eb544388-03d0-4f68-90cd-d5e1a1a58204 Result Result false 0 6300 6218 34 24 6318.5 6230 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph a3732d3e-0c50-481d-a1d6-1bcf28ea4e2c Quick Graph Quick Graph false 0 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 1 6212 6035 150 150 6212.478 6035.526 -1 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true 0542f2c7-d784-4468-81af-6cd229c065b0 Line Line 6229 6280 114 44 6301 6302 Line start point f29f2466-148d-4282-89ad-03a6f5a9e181 Start Point Start Point false f8db5649-328e-4006-ba71-562d43d81b7c 1 6231 6282 55 20 6260 6292 Line end point dc54e750-a4f0-46bd-891a-6cca57da0135 End Point End Point false 6cd89808-2ff0-497c-bdbc-fb339f5e3f88 1 6231 6302 55 20 6260 6312 Line segment cf465295-a5a9-4d96-9d09-8dbfb781bd6d Line Line false 0 6316 6282 25 40 6330 6302 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} e4b4f0ff-76ef-4291-88b8-b23bc123220a Line SDL Line SDL 6225 5085 122 64 6305 5117 Line start point aa8391c6-5f49-46a9-bc94-096327f59b06 Start Start false f8db5649-328e-4006-ba71-562d43d81b7c 1 6227 5087 63 20 6268 5097 Line tangent (direction) 1d26878e-40fe-4e29-9f52-a434993d5399 Direction Direction false 9a8056af-4ac0-4c82-8825-588205c691f0 1 6227 5107 63 20 6268 5117 1 1 {0} 0 0 1 Line length d4105860-17e9-4617-a5fb-02e3082b9423 -X Length Length false d97d64b8-f977-4888-92e0-872cdfcd9995 1 6227 5127 63 20 6268 5137 1 1 {0} 1 Line segment 7d2f3aa9-ca02-4a98-ab8e-b4c374e55890 Line Line false 0 6320 5087 25 60 6334 5117 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true af15813d-d7ce-4378-a915-77fd178fb218 Evaluate Length Evaluate Length 6214 4816 144 64 6288 4848 Curve to evaluate bb61dc5a-f88b-4b21-93db-5bf06f68eadb Curve Curve false 7d2f3aa9-ca02-4a98-ab8e-b4c374e55890 1 6216 4818 57 20 6246 4828 Length factor for curve evaluation 52941361-e288-46cd-9e70-6e7e2790b3a3 Length Length false 0 6216 4838 57 20 6246 4848 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 82fa2f0b-2632-4d34-a820-63b52730ee56 Normalized Normalized false 0 6216 4858 57 20 6246 4868 1 1 {0} true Point at the specified length 07c81047-9c95-4fe8-8d3b-c0ce84bd92a9 Point Point false 0 6303 4818 53 20 6331 4828 Tangent vector at the specified length 4913f963-839a-4fa2-968d-a6ab9d1e7a07 Tangent Tangent false 0 6303 4838 53 20 6331 4848 Curve parameter at the specified length eb5fe915-633e-48b7-b5a9-8f07f15ecbf2 Parameter Parameter false 0 6303 4858 53 20 6331 4868 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. true 8752c3dd-f212-4d33-9640-6da816769b71 Interpolate Interpolate 6224 4714 125 84 6291 4756 1 Interpolation points 5a74a938-7b90-4276-b7e1-442a08be52d1 Vertices Vertices false 07c81047-9c95-4fe8-8d3b-c0ce84bd92a9 1 6226 4716 50 20 6252.5 4726 Curve degree bbe49acd-0944-49c7-8dd5-662d130193dd Degree Degree false 0 6226 4736 50 20 6252.5 4746 1 1 {0} 1 Periodic curve 4dd58712-49c2-405c-90e0-a2d106aa934a Periodic Periodic false 0 6226 4756 50 20 6252.5 4766 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 5670c25b-73be-4b08-a18a-0aaec4d9b7fa KnotStyle KnotStyle false 0 6226 4776 50 20 6252.5 4786 1 1 {0} 2 Resulting nurbs curve 120dd180-02d5-4545-ae95-f89f7d5bc957 Curve Curve false 0 6306 4716 41 26 6328 4729.333 Curve length 5a6f8bad-c5a1-49a9-97ab-f0874c857b98 Length Length false 0 6306 4742 41 27 6328 4756 Curve domain 26329818-c7f1-42cc-a079-62d5853ad2b7 Domain Domain false 0 6306 4769 41 27 6328 4782.667 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 2a1ae95f-574e-4ccc-8ffd-31d4ae4bee19 Number Number false 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 1 6261 4623 50 24 6286.512 4635.662 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 50b7ed13-0a6a-4a2e-9366-e47c845e770f Curve Curve false 120dd180-02d5-4545-ae95-f89f7d5bc957 1 6261 4669 50 24 6286.992 4681.434 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 Relay false eb544388-03d0-4f68-90cd-d5e1a1a58204 1 6266 6200 40 16 6286 6208 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 7f8f96f2-7fa2-46ff-8c8e-60da9fe78fb2 Create Material Create Material 6214 4960 144 104 6298 5012 Colour of the diffuse channel 884af5f7-9cca-4c77-bc11-7ff80d1cf207 Diffuse Diffuse false 0 6216 4962 67 20 6251 4972 1 1 {0} 255;247;247;247 Colour of the specular highlight bfe308be-f92d-487c-8bb9-542fc830783a Specular Specular false 0 6216 4982 67 20 6251 4992 1 1 {0} 255;0;255;255 Emissive colour of the material 30f97a09-4406-4b4e-9c4a-d66368097406 Emission Emission false 0 6216 5002 67 20 6251 5012 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent c862f0ea-bbfc-4fc6-9dee-927b0989348f Transparency Transparency false 0 6216 5022 67 20 6251 5032 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine ecd4184f-916e-4971-96a9-0c9f19a94424 Shine Shine false 0 6216 5042 67 20 6251 5052 1 1 {0} 100 Resulting material 6bd6491c-d5c7-44f0-ae54-95e33889505e Material Material false 0 6313 4962 43 100 6336 5012 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true c6a0d1ce-c8f1-4423-b00e-8925b5c3134e Custom Preview Custom Preview 6245 4900 82 44 6313 4922 Geometry to preview true 4610552b-56df-4e43-8f25-5d26a2db596d Geometry Geometry false 7d2f3aa9-ca02-4a98-ab8e-b4c374e55890 1 6247 4902 51 20 6274 4912 The material override 5299ff80-1d9c-4118-8113-a79bd808c405 Material Material false 6bd6491c-d5c7-44f0-ae54-95e33889505e 1 6247 4922 51 20 6274 4932 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 9f0325b6-6ebf-406a-99eb-5f119bb3fffe Create Material Create Material 6214 7223 144 104 6298 7275 Colour of the diffuse channel 46a33492-a8db-4c5d-ac0c-9ef4c82da5ae Diffuse Diffuse false 0 6216 7225 67 20 6251 7235 1 1 {0} 255;176;176;176 Colour of the specular highlight 1689a242-691b-4973-8abf-0ba353eed2e3 Specular Specular false 0 6216 7245 67 20 6251 7255 1 1 {0} 255;0;255;255 Emissive colour of the material 0c913caf-d443-43f0-8c2d-17d78377f4d8 Emission Emission false 0 6216 7265 67 20 6251 7275 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent f94fbecb-18e0-43da-9a12-c35f89bfdb87 Transparency Transparency false 0 6216 7285 67 20 6251 7295 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 5f2eb705-91c9-4d23-99c0-434a070d36b1 Shine Shine false 0 6216 7305 67 20 6251 7315 1 1 {0} 100 Resulting material 0ff09654-746a-40b7-809c-7e64e9e3bd09 Material Material false 0 6313 7225 43 100 6336 7275 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true a076fb8b-40bd-4f35-b602-1c30985b9780 Custom Preview Custom Preview 6240 7152 82 44 6308 7174 Geometry to preview true 03401d44-cbb1-48c5-9113-5e481b5eb371 Geometry Geometry false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6242 7154 51 20 6269 7164 The material override 18adad74-02b5-4b93-bf42-3975e3aadaf7 Material Material false 0ff09654-746a-40b7-809c-7e64e9e3bd09 1 6242 7174 51 20 6269 7184 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true c24bd498-f66f-4f16-a577-24dff54751e9 Create Material Create Material 6214 4465 144 104 6298 4517 Colour of the diffuse channel 93234182-89cc-481b-a1e7-af85e2d62cc2 Diffuse Diffuse false 0 6216 4467 67 20 6251 4477 1 1 {0} 255;222;222;222 Colour of the specular highlight 1924ba47-da46-4e22-8c16-37a4c5d8f1a1 Specular Specular false 0 6216 4487 67 20 6251 4497 1 1 {0} 255;0;255;255 Emissive colour of the material 78ced00d-dc11-43e5-85ae-1dd35db45ac4 Emission Emission false 0 6216 4507 67 20 6251 4517 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 5b1fc849-3011-45c6-ab86-78ded2016f31 Transparency Transparency false 0 6216 4527 67 20 6251 4537 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine e89bfece-2bcc-4013-88e8-91983624e165 Shine Shine false 0 6216 4547 67 20 6251 4557 1 1 {0} 100 Resulting material 1d0a5303-eff8-454b-8ee4-7d8b6bce9783 Material Material false 0 6313 4467 43 100 6336 4517 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 55bbfe92-8192-4209-9cc4-1d4e68bcbe85 Custom Preview Custom Preview 6245 4402 82 44 6313 4424 Geometry to preview true 98ee8413-c8d9-4558-822f-4e90e638c55c Geometry Geometry false 50b7ed13-0a6a-4a2e-9366-e47c845e770f 1 6247 4404 51 20 6274 4414 The material override 0d2089da-24ea-4860-8bbf-1ebb3bb92784 Material Material false 1d0a5303-eff8-454b-8ee4-7d8b6bce9783 1 6247 4424 51 20 6274 4434 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 7376fe41-74ec-497e-b367-1ffe5072608b Curvature Graph Draws Rhino Curvature Graphs. true 533a2de5-095d-4b29-8e2a-fcbc2cd6a144 true Curvature Graph Curvature Graph 6251 7041 71 64 6308 7073 Curve for Curvature graph display true 8509b49d-7f23-45d1-9b5c-659824c94bf6 true Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6253 7043 40 20 6274.5 7053 Sampling density of the Graph 997a483b-4e7c-43ea-9244-67b7bf8ba207 true Density Density false 0 6253 7063 40 20 6274.5 7073 1 1 {0} 1 Scale of graph 17b0fc83-1a3c-4f8e-8aab-c1888f987395 true Scale Scale false 53e40d4e-8d4b-48dc-9719-1602db6139bb 1 6253 7083 40 20 6274.5 7093 1 1 {0} 105 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 53e40d4e-8d4b-48dc-9719-1602db6139bb Digit Scroller false 0 12 11 87.0 6161 7132 250 20 6161.735 7132.724 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 50cc850b-f636-468a-b97a-e4cd5d02cc7a Remap Numbers Remap Numbers 6229 5390 115 64 6284 5422 Value to remap cc86bcee-211a-435a-8617-81fb0e98865a Value Value false bd8802e7-f2ec-4e84-bccc-f0b136310370 1 6231 5392 38 20 6251.5 5402 Source domain 214f6851-885d-4a66-aa99-ea242c741745 Source Source false c7e433ac-345f-4c26-8014-a904e0b23e8e 1 6231 5412 38 20 6251.5 5422 1 1 {0} 0 1 Target domain 40764e61-e8be-4e6d-a9bd-c36d697d7e2c Target Target false 0 6231 5432 38 20 6251.5 5442 1 1 {0} 0 1 Remapped number bd96dd06-38a3-412f-9f7d-1c537ee866a1 Mapped Mapped false 0 6299 5392 43 30 6322 5407 Remapped and clipped number 887eb2b0-4635-48ce-80c4-7d066447af57 Clipped Clipped false 0 6299 5422 43 30 6322 5437 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true fd4c3ddc-1ea5-4192-a416-b0fdb190ae82 Bounds Bounds 6225 5472 122 28 6289 5486 1 Numbers to include in Bounds c3a0e3bf-810e-40b5-bb64-d4a976cb6512 Numbers Numbers false bd8802e7-f2ec-4e84-bccc-f0b136310370 1 6227 5474 47 24 6252 5486 Numeric Domain between the lowest and highest numbers in {N} c7e433ac-345f-4c26-8014-a904e0b23e8e Domain Domain false 0 6304 5474 41 24 6326 5486 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object bd8802e7-f2ec-4e84-bccc-f0b136310370 Relay false 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 1 6266 5519 40 16 6286 5527 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d97d64b8-f977-4888-92e0-872cdfcd9995 Relay false dc531d97-359a-49ed-845e-f8e7e47000de 1 6266 5163 40 16 6286 5171 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 6010a711-ea32-4573-ba8b-0c51a52d95bd Multiplication Multiplication 6245 5191 82 44 6276 5213 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 6d054709-5596-4f67-9857-d6a2031e66ff A A true db8c1a8c-acbe-4755-add3-f4a74076c3dd 1 6247 5193 14 20 6255.5 5203 Second item for multiplication b195d8e6-490f-46ed-9baa-67d8be2e9ffa B B true 1d2ae44f-a2c0-44ec-a769-3a3d92398116 1 6247 5213 14 20 6255.5 5223 Result of multiplication dc531d97-359a-49ed-845e-f8e7e47000de Result Result false 0 6291 5193 34 40 6309.5 5213 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 89e871e1-25b0-4904-8268-ab7f1e99953a true Expression Expression 6189 6649 194 28 6289 6663 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 957a0f90-c94a-4eed-b2b9-4f33214fb0e8 true Variable O O true a3416d5a-59f0-4afa-ac1b-577f9f8b884d 1 6191 6651 14 24 6199.5 6663 Result of expression d5b86ce7-4057-476b-9452-831f6457ae06 true Result false 0 6372 6651 9 24 6378 6663 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 151700ae-7136-49e1-a91f-f3c97532cf24 Panel false 1 d5b86ce7-4057-476b-9452-831f6457ae06 1 Double click to edit panel content… 6194 6364 185 271 0 0 0 6194.824 6364.744 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object fe002072-eada-42e5-8344-3f109b1d3e3b Relay false 151700ae-7136-49e1-a91f-f3c97532cf24 1 6266 6340 40 16 6286 6348 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a3416d5a-59f0-4afa-ac1b-577f9f8b884d Relay false 21467ea2-702c-47f8-aa77-3b1adc6000a2 1 6266 6696 40 16 6286 6704 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 89e871e1-25b0-4904-8268-ab7f1e99953a 151700ae-7136-49e1-a91f-f3c97532cf24 fe002072-eada-42e5-8344-3f109b1d3e3b a3416d5a-59f0-4afa-ac1b-577f9f8b884d 4 45ba074d-cd38-4d2a-b299-39c960d29e58 Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true bb7187be-64de-4991-b04a-2d4022623ab0 true Expression Expression 6189 5949 194 28 6289 5963 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable fd5f0c6e-2e1d-4da5-9f68-a16304888d40 true Variable O O true 379554e2-95a0-431e-8e6a-34e3a3935fba 1 6191 5951 14 24 6199.5 5963 Result of expression a19fffb2-cc56-4fff-9d5f-7ee3e1871bcb true Result false 0 6372 5951 9 24 6378 5963 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f6da17c7-b784-461f-a8c3-bb7be187a8a0 Panel false 0 a19fffb2-cc56-4fff-9d5f-7ee3e1871bcb 1 Double click to edit panel content… 6186 5665 200 271 0 0 0 6186.891 5665.506 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d8aa61ac-caf9-42ab-8d0a-f0154b7926bf Relay false f6da17c7-b784-461f-a8c3-bb7be187a8a0 1 6266 5621 40 16 6286 5629 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 379554e2-95a0-431e-8e6a-34e3a3935fba Relay false 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 1 6266 5996 40 16 6286 6004 c75b62fa-0a33-4da7-a5bd-03fd0068fd93 Length Measure the length of a curve. true b51dc070-4ff7-4331-a77e-8e7a0f5aef8e Length Length 6234 7346 104 28 6284 7360 Curve to measure 1b61d063-2308-404c-8fa5-4ca5f6cdc7ed Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6236 7348 33 24 6254 7360 Curve length 6e9b77db-7611-4fec-817e-dc345f560150 Length Length false 0 6299 7348 37 24 6319 7360 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true f3870545-9824-4694-9fee-7a43d6ed2670 Multiplication Multiplication 6245 5298 82 44 6276 5320 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 3ddc7f55-2ef0-497a-94e3-04e269775fac A A true 224abc3f-a87a-45f8-993d-3e12e7ef8b3f 1 6247 5300 14 20 6255.5 5310 Second item for multiplication 0ae5d6cd-806e-483f-9a95-b5afe75653eb B B true bd96dd06-38a3-412f-9f7d-1c537ee866a1 1 6247 5320 14 20 6255.5 5330 Result of multiplication db8c1a8c-acbe-4755-add3-f4a74076c3dd Result Result false 0 6291 5300 34 40 6309.5 5320 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 81598716-14eb-41f3-bc1c-588c7c0dafb9 Relay false 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 1 6266 4589 40 16 6286 4597 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 1f25a485-df54-4c1a-8980-90082d91f997 Digit Scroller false 0 12 11 256.0 6161 7006 250 20 6161.735 7006.728 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d1afeb2b-afdb-482a-a9f6-8c00b33253e7 Relay false cf465295-a5a9-4d96-9d09-8dbfb781bd6d 1 6266 6264 40 16 6286 6272 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 224abc3f-a87a-45f8-993d-3e12e7ef8b3f Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 5363 40 16 6286 5371 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 1d2ae44f-a2c0-44ec-a769-3a3d92398116 Digit Scroller false 0 12 1 0.05000000000 6162 5256 250 20 6162.42 5256.216 afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true d16b55bb-51fe-4ac6-8df8-106c39c9f1b3 Explode Explode 6218 4194 136 44 6285 4216 Curve to explode 2b4f13bd-f698-4233-9f9f-e506f30c4755 Curve Curve false 50b7ed13-0a6a-4a2e-9366-e47c845e770f 1 6220 4196 50 20 6246.5 4206 Recursive decomposition until all segments are atomic da9606bf-2c02-483e-8dec-3d30d18f0be2 Recursive Recursive false 0 6220 4216 50 20 6246.5 4226 1 1 {0} true 1 Exploded segments that make up the base curve b6984176-dcf7-4b17-9ed5-bcca669a9a88 Segments Segments false 0 6300 4196 52 20 6327.5 4206 1 Vertices of the exploded segments 2b288d44-5b24-4fa6-9e3f-cc827256dd26 Vertices Vertices false 0 6300 4216 52 20 6327.5 4226 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 55f1c7e0-6646-4cc8-8195-3ff0bc546430 Evaluate Length Evaluate Length 6214 4111 144 64 6288 4143 Curve to evaluate 13a5521f-e9dc-4c29-9f6e-cc58fe4676d8 Curve Curve false b6984176-dcf7-4b17-9ed5-bcca669a9a88 1 6216 4113 57 20 6246 4123 Length factor for curve evaluation 68965506-3b76-49c4-a7cb-f4ebd55c06e0 Length Length false 0 6216 4133 57 20 6246 4143 1 1 {0} 0.5 If True, the Length factor is normalized (0.0 ~ 1.0) 66c58978-c61f-4d60-879d-44deaac27bbb Normalized Normalized false 0 6216 4153 57 20 6246 4163 1 1 {0} true Point at the specified length 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af Point Point false 0 6303 4113 53 20 6331 4123 Tangent vector at the specified length 02056aec-db5b-4529-9125-473474421ea0 Tangent Tangent false 0 6303 4133 53 20 6331 4143 Curve parameter at the specified length 26128cd1-0778-40ff-aba4-ec7f5171c242 Parameter Parameter false 0 6303 4153 53 20 6331 4163 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} 845f5ae1-563a-4eba-9bd2-1f364dec84f2 Line SDL Line SDL 6225 2478 122 64 6305 2510 Line start point 8c947a34-e3dc-4b70-aa19-4f9293e20ef2 Start Start false 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af 1 6227 2480 63 20 6268 2490 Line tangent (direction) f2f1214e-0164-41a0-a4a0-97691a1e04c9 Direction Direction false 974f6703-6679-4d74-a08a-0db9438145fc 1 6227 2500 63 20 6268 2510 1 1 {0} 0 0 1 Line length 7e16f714-33bb-4448-ae0d-a2cdcab04a7d ABS(X) Length Length false 1e2f2e7b-1c43-46d7-8188-931698467786 1 6227 2520 63 20 6268 2530 1 1 {0} 0.015625 Line segment cc9df7f8-c2be-44d9-817d-a344480c9ecf Line Line false 0 6320 2480 25 60 6334 2510 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data edfbaf71-ae8b-4a14-ba3d-8ffe64b466be Relative Differences Relative Differences 6222 3768 128 28 6275 3782 1 List of data to operate on (numbers or points or vectors allowed) 892c9b24-2cd0-4ff0-a6ed-c25903a48827 Values Values false 46880d17-53fe-4c23-bf41-e4b8cc1d6dcc 1 6224 3770 36 24 6243.5 3782 1 Differences between consecutive items 82c51ed9-1201-4b4d-803d-ed22294ac658 Differenced Differenced false 0 6290 3770 58 24 6320.5 3782 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true e7334885-e509-483f-84d0-4a94b25496cd Replace Nulls Replace Nulls 6218 3824 136 44 6304 3846 1 Items to test for null 5de06ade-4727-447d-80b9-15302c522587 Items Items false 561c9228-a8c7-4f00-aef1-86f36b7ee383 1 6220 3826 69 20 6256 3836 1 Items to replace nulls with 1e1d18d5-1b4e-4a9f-9a8e-f2acc0274e8d Replacements Replacements false 0 6220 3846 69 20 6256 3856 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls 46880d17-53fe-4c23-bf41-e4b8cc1d6dcc Items Items false 0 6319 3826 33 20 6337 3836 Number of items replaced 306f194e-0660-4cd9-b2d9-656964cd4113 Count Count false 0 6319 3846 33 20 6337 3856 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. 3d00de67-1b84-4a16-9ee5-ac49623b276f List Length List Length 6240 3719 93 28 6279 3733 1 Base list 5746fab1-5797-44af-9829-aac0c0ec9712 List List false 82c51ed9-1201-4b4d-803d-ed22294ac658 1 6242 3721 22 24 6254.5 3733 Number of items in L fca0255d-b895-4768-91bf-2e57e6515c4f Length Length false 0 6294 3721 37 24 6314 3733 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. f6105af9-d019-412d-a4d5-869389b4cdff List Item List Item 6249 3556 74 64 6297 3588 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list 3751e7ed-b6b1-4be5-a001-3e94e45cda7b List List false 82c51ed9-1201-4b4d-803d-ed22294ac658 1 6251 3558 31 20 6268 3568 Item index d54ae681-7e18-4f84-a965-bf39d933c8fa Index Index false 24afe3e0-ddd1-4aca-9821-29f7e68efeeb 1 6251 3578 31 20 6268 3588 1 1 {0} 0 Wrap index to list bounds 2dc4634d-527d-4e9b-b251-f7156d459cb6 Wrap Wrap false 0 6251 3598 31 20 6268 3608 1 1 {0} false Item at {i'} 53927bc6-933c-4dbf-9a1e-baa2e57b2529 false Item i false 0 6312 3558 9 60 6318 3588 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. aa254562-60f6-4c89-a9d1-4877b22d0965 Series Series 6228 3638 117 64 6294 3670 First number in the series 882e878f-6f73-4811-9ea2-c291d4745163 Start Start false 0 6230 3640 49 20 6264 3650 1 1 {0} 1 Step size for each successive number f02fc18e-eede-42ce-9c1a-93ad6e9edc16 Step Step false 0 6230 3660 49 20 6264 3670 1 1 {0} 1 Number of values in the series a3af8467-5f46-4821-995e-9ec100fe5ddf X-1 Count Count false fca0255d-b895-4768-91bf-2e57e6515c4f 1 6230 3680 49 20 6264 3690 1 1 {0} 10 1 Series of numbers 24afe3e0-ddd1-4aca-9821-29f7e68efeeb Series Series false 0 6309 3640 34 60 6327.5 3670 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 561c9228-a8c7-4f00-aef1-86f36b7ee383 Relay false 81598716-14eb-41f3-bc1c-588c7c0dafb9 1 6266 3887 40 16 6286 3895 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e286d01e-ac40-479b-9506-fea4034f1b81 Relay false 53927bc6-933c-4dbf-9a1e-baa2e57b2529 1 6266 3523 40 16 6286 3531 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects edfbaf71-ae8b-4a14-ba3d-8ffe64b466be e7334885-e509-483f-84d0-4a94b25496cd 3d00de67-1b84-4a16-9ee5-ac49623b276f f6105af9-d019-412d-a4d5-869389b4cdff aa254562-60f6-4c89-a9d1-4877b22d0965 561c9228-a8c7-4f00-aef1-86f36b7ee383 e286d01e-ac40-479b-9506-fea4034f1b81 7 52750a6f-5ea3-4565-adf8-d4b9e638e651 Group 2dc44b22-b1dd-460a-a704-6462d6e91096 Curve Closest Point Find the closest point on a curve. true 411d90fa-8cc1-4cb8-bd27-6b8dc7a06aa1 Curve Closest Point Curve Closest Point 6226 4023 120 64 6276 4055 Point to project onto curve 94cae40d-ede7-4362-b6b4-4be151476588 Point Point false 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af 1 6228 4025 33 30 6246 4040 Curve to project onto 2e070c86-8ba5-44ed-a436-8539eae0e532 Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6228 4055 33 30 6246 4070 Point on the curve closest to the base point 15875976-eb3b-4668-9fa4-ce949f2740e4 Point Point false 0 6291 4025 53 20 6319 4035 Parameter on curve domain of closest point 3665b055-5d51-4bea-a9f3-85b86a5bcd21 Parameter Parameter false 0 6291 4045 53 20 6319 4055 Distance between base point and curve bd207343-2189-4097-babb-c50072c89469 Distance Distance false 0 6291 4065 53 20 6319 4075 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true c94ffcf9-b23b-46c2-811d-31aaa5f5a344 Line Line 6229 3944 114 44 6301 3966 Line start point d30f409a-e6a4-417a-992a-810e2b3d1e78 Start Point Start Point false 15875976-eb3b-4668-9fa4-ce949f2740e4 1 6231 3946 55 20 6260 3956 Line end point d2c943cc-1a31-452c-b2f0-f76a521cefed End Point End Point false 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af 1 6231 3966 55 20 6260 3976 Line segment 974f6703-6679-4d74-a08a-0db9438145fc Line Line false 0 6316 3946 25 40 6330 3966 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true a2ce29db-0bb4-45cc-b847-4fc1ab58da24 Remap Numbers Remap Numbers 6229 2780 115 64 6284 2812 Value to remap c4a4fee2-01ef-4d38-8ef2-aea231158b44 Value Value false c973b3e6-f6c6-403b-9b41-2df880c866c5 1 6231 2782 38 20 6251.5 2792 Source domain 276670b6-82ea-4199-be09-ad6e0cb66df4 Source Source false 63e83512-d5e4-4958-92ec-4e0a868bf0bc 1 6231 2802 38 20 6251.5 2812 1 1 {0} 0 1 Target domain bcfbce6c-21f0-42e5-8109-7f478a0a0f1c Target Target false 0 6231 2822 38 20 6251.5 2832 1 1 {0} -1 1 Remapped number 393a4076-c4dc-42cb-89bb-2674ed014865 Mapped Mapped false 0 6299 2782 43 30 6322 2797 Remapped and clipped number ee5d4373-6d10-43d1-82f4-2f1cdd69cb43 Clipped Clipped false 0 6299 2812 43 30 6322 2827 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true d8bc2abf-e181-4e18-a4c1-a10c87fa5684 Bounds Bounds 6225 2862 122 28 6289 2876 1 Numbers to include in Bounds e0eb1bfd-07ff-4936-9dde-cee85eef82ba Numbers Numbers false c973b3e6-f6c6-403b-9b41-2df880c866c5 1 6227 2864 47 24 6252 2876 Numeric Domain between the lowest and highest numbers in {N} 63e83512-d5e4-4958-92ec-4e0a868bf0bc Domain Domain false 0 6304 2864 41 24 6326 2876 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c973b3e6-f6c6-403b-9b41-2df880c866c5 Relay false e286d01e-ac40-479b-9506-fea4034f1b81 1 6266 2909 40 16 6286 2917 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true d94e12f5-f115-49e1-888d-d295271d3c2c Multiplication Multiplication 6245 2581 82 44 6276 2603 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication e251f033-2ca4-474f-bea5-bf59a084f4ec A A true c4b476dc-0b56-4320-8d67-d3dd9e1d4864 1 6247 2583 14 20 6255.5 2593 Second item for multiplication 6a446beb-d13c-4e63-9fdf-ff852ab16bd5 B B true 82de2fbc-f4bc-485c-aa6d-7f6e55b0fe9a 1 6247 2603 14 20 6255.5 2613 Result of multiplication 1e2f2e7b-1c43-46d7-8188-931698467786 Result Result false 0 6291 2583 34 40 6309.5 2603 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 687fd906-a476-4bc8-aa83-54c5f9def255 Multiplication Multiplication 6245 2688 82 44 6276 2710 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 75dcd440-5306-4a4d-b51b-2f622b7c8452 A A true 4c1818fc-287e-4806-9c3b-c20208f55d9b 1 6247 2690 14 20 6255.5 2700 Second item for multiplication 4816bc9f-75d9-4864-ac54-eb866a9f5d39 B B true 393a4076-c4dc-42cb-89bb-2674ed014865 1 6247 2710 14 20 6255.5 2720 Result of multiplication c4b476dc-0b56-4320-8d67-d3dd9e1d4864 Result Result false 0 6291 2690 34 40 6309.5 2710 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 4c1818fc-287e-4806-9c3b-c20208f55d9b Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 2753 40 16 6286 2761 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 82de2fbc-f4bc-485c-aa6d-7f6e55b0fe9a Digit Scroller false 0 12 1 0.05625000000 6162 2659 250 20 6162.444 2659.319 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects a2ce29db-0bb4-45cc-b847-4fc1ab58da24 d8bc2abf-e181-4e18-a4c1-a10c87fa5684 c973b3e6-f6c6-403b-9b41-2df880c866c5 d94e12f5-f115-49e1-888d-d295271d3c2c 687fd906-a476-4bc8-aa83-54c5f9def255 4c1818fc-287e-4806-9c3b-c20208f55d9b 82de2fbc-f4bc-485c-aa6d-7f6e55b0fe9a 7 22ecfb22-3828-4f14-bd18-9adf65ea9752 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d16b55bb-51fe-4ac6-8df8-106c39c9f1b3 55f1c7e0-6646-4cc8-8195-3ff0bc546430 411d90fa-8cc1-4cb8-bd27-6b8dc7a06aa1 c94ffcf9-b23b-46c2-811d-31aaa5f5a344 4 3213337e-1bae-46fd-830e-f94604f5e33d Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5d8a3032-ae52-4a32-8a92-6efd0477944f true Expression Expression 6189 3423 194 28 6289 3437 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7fe5d468-3548-467f-b64d-7b8f78bb446f true Variable O O true 92440245-235b-43bd-ab87-42b94200e662 1 6191 3425 14 24 6199.5 3437 Result of expression 9852dc17-9fea-41e6-8d73-f891e530b498 true Result false 0 6372 3425 9 24 6378 3437 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 96ce86c7-f8da-4702-898f-eea30eb72e9d Panel false 1 9852dc17-9fea-41e6-8d73-f891e530b498 1 Double click to edit panel content… 6194 3141 185 271 0 0 0 6194.779 3141.712 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a11ce8ed-74c0-4462-93d2-6a1c956c94db Relay false 96ce86c7-f8da-4702-898f-eea30eb72e9d 1 6266 3114 40 16 6286 3122 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 92440245-235b-43bd-ab87-42b94200e662 Relay false e286d01e-ac40-479b-9506-fea4034f1b81 1 6266 3470 40 16 6286 3478 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5d8a3032-ae52-4a32-8a92-6efd0477944f 96ce86c7-f8da-4702-898f-eea30eb72e9d a11ce8ed-74c0-4462-93d2-6a1c956c94db 92440245-235b-43bd-ab87-42b94200e662 4 158caa93-9474-4146-9b50-bbbca76f9569 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 0a6bd2fe-814c-4596-a71e-03c86ba67ae1 Create Material Create Material 6214 2352 144 104 6298 2404 Colour of the diffuse channel e3117c2b-02d4-4db1-8dc3-14713b66c58a Diffuse Diffuse false 0 6216 2354 67 20 6251 2364 1 1 {0} 255;240;240;240 Colour of the specular highlight 227bc0a1-8213-4c09-8971-1b1e4d03ef91 Specular Specular false 0 6216 2374 67 20 6251 2384 1 1 {0} 255;0;255;255 Emissive colour of the material 66b7dc5c-6cfb-4516-8688-29d1a3cbb124 Emission Emission false 0 6216 2394 67 20 6251 2404 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 3c1785fd-2c58-476e-a610-81b1116a483c Transparency Transparency false 0 6216 2414 67 20 6251 2424 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine d2cb061a-05e4-445f-83e8-4cc9b0096569 Shine Shine false 0 6216 2434 67 20 6251 2444 1 1 {0} 100 Resulting material 88573c0d-945d-4139-b027-8c1f1cfbad6d Material Material false 0 6313 2354 43 100 6336 2404 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 7cbb25b0-6e3a-46b7-a8a4-d0d154f0b149 Custom Preview Custom Preview 6245 2281 82 44 6313 2303 Geometry to preview true a3e01f31-b441-4a92-9372-76e3952a94fb Geometry Geometry false cc9df7f8-c2be-44d9-817d-a344480c9ecf 1 6247 2283 51 20 6274 2293 The material override 132fef4b-3cbe-4ebf-8bfd-244135e151da Material Material false 88573c0d-945d-4139-b027-8c1f1cfbad6d 1 6247 2303 51 20 6274 2313 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 9d26cb73-611a-4665-9b67-857be2acbffc Evaluate Length Evaluate Length 6214 2193 144 64 6288 2225 Curve to evaluate 974f8a91-e4dd-4fb5-986c-bdaa1d5b16fc Curve Curve false cc9df7f8-c2be-44d9-817d-a344480c9ecf 1 6216 2195 57 20 6246 2205 Length factor for curve evaluation e4539db6-6711-41c9-9850-0948613c473d Length Length false 0 6216 2215 57 20 6246 2225 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 1711c08f-4893-4513-9087-3444ebc5b077 Normalized Normalized false 0 6216 2235 57 20 6246 2245 1 1 {0} true Point at the specified length ff449f98-89aa-4375-8f9f-196d58fdfe6c Point Point false 0 6303 2195 53 20 6331 2205 Tangent vector at the specified length 359e9fb2-ed1d-449e-a205-fb08bbd1dcb3 Tangent Tangent false 0 6303 2215 53 20 6331 2225 Curve parameter at the specified length b4a57eda-fdfd-46af-95c5-49bfa4219218 Parameter Parameter false 0 6303 2235 53 20 6331 2245 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. 1580bda1-2c1c-442f-93be-e3805e9c820a Interpolate Interpolate 6224 2088 125 84 6291 2130 1 Interpolation points 0cd32b38-56b5-4c19-a7a0-c2d7565727d1 Vertices Vertices false ff449f98-89aa-4375-8f9f-196d58fdfe6c 1 6226 2090 50 20 6252.5 2100 Curve degree a1ce23ae-bd33-49d0-940d-906d6ea05f73 Degree Degree false 0 6226 2110 50 20 6252.5 2120 1 1 {0} 1 Periodic curve b397561b-e36b-4cf4-9dd5-d79ed9bfc484 Periodic Periodic false 0 6226 2130 50 20 6252.5 2140 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 569404dc-206c-4d9e-8620-187789ee8e9d KnotStyle KnotStyle false 0 6226 2150 50 20 6252.5 2160 1 1 {0} 2 Resulting nurbs curve e67b2c1f-9492-474f-abbf-c0be8e311c9c Curve Curve false 0 6306 2090 41 26 6328 2103.333 Curve length ca324745-08d5-4cfc-9d41-32bf9def153a Length Length false 0 6306 2116 41 27 6328 2130 Curve domain 3ff1ade3-ad17-4559-ac2a-eceb380cd230 Domain Domain false 0 6306 2143 41 27 6328 2156.667 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true a3b8c156-186c-41a3-8e18-451de09912e5 Create Material Create Material 6214 1961 144 104 6298 2013 Colour of the diffuse channel 841d5707-73d2-40c4-bb00-e2433c7517c3 Diffuse Diffuse false 0 6216 1963 67 20 6251 1973 1 1 {0} 255;214;214;214 Colour of the specular highlight d9b1d30f-5104-457f-8df8-2f11c3f0165a Specular Specular false 0 6216 1983 67 20 6251 1993 1 1 {0} 255;0;255;255 Emissive colour of the material 7bebb136-06cb-4afe-b269-f7450f8ef049 Emission Emission false 0 6216 2003 67 20 6251 2013 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 5baf6d22-6e94-40d9-97cf-80fed2b426cf Transparency Transparency false 0 6216 2023 67 20 6251 2033 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 8326a82b-c83d-4ae4-b106-c54cdf314e4e Shine Shine false 0 6216 2043 67 20 6251 2053 1 1 {0} 100 Resulting material 09ac8260-4e80-41f3-a250-b7e44519bc3c Material Material false 0 6313 1963 43 100 6336 2013 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true d10e7f8a-b9bf-4107-9863-64eafdf1af76 Custom Preview Custom Preview 6245 1895 82 44 6313 1917 Geometry to preview true add8d499-44d6-4254-9b11-99e07cf31bd9 Geometry Geometry false e67b2c1f-9492-474f-abbf-c0be8e311c9c 1 6247 1897 51 20 6274 1907 The material override c7d766c6-a736-457e-8787-c28afe62403e Material Material false 09ac8260-4e80-41f3-a250-b7e44519bc3c 1 6247 1917 51 20 6274 1927 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 60b332bf-2cf3-433f-b445-51fdd375691d Quick Graph Quick Graph false 0 92440245-235b-43bd-ab87-42b94200e662 1 6211 2945 150 150 6211.599 2945.189 -1 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c2173391-9a8e-4e7a-97d2-9bceb33b1ecc 4e11aadd-afad-41bf-a564-a86a17687335 4ae4df24-2f99-4795-8f63-155b366c00fe f3c8e720-ce95-4e38-8e06-e693b8c356ab 5a7cd726-3ae9-490f-9b45-17de9dd90264 67584921-233c-426e-b5f5-c1072eede078 8bb00c53-94be-4d79-b85c-d34c42cc44d7 d04b43ca-ddb0-48a3-8353-aad50bf2c946 2e6f7300-ee3c-41f7-bb25-0bbab17d479a 3594fd66-0803-4631-b1d4-89f40175b866 cd58ea0d-696d-4ca1-88b6-69bc7d529723 4a450fdf-eb05-4862-b1a1-33386eb3b2f6 207075b0-9c45-4890-8bdf-7e9e10451f89 f7e09984-3f7e-4410-a289-e424bfef65a1 47edebd9-99ae-4881-889e-0273bbc87baa 084ee3ba-1284-44be-843a-bf69fc327457 db13282f-4f15-4468-9784-26e12e8cb369 d22a5bfb-b449-4055-9266-410dcf2812a4 8459cedb-46a1-47f4-abe0-7a20e0b7de1d 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 2584af31-71b2-49b6-b8d4-e39012a2b370 47215bb4-c3a1-4c06-a708-ab9ccc9bc93b 5b6c43df-6ef8-4b5f-a8b0-464f2953ec75 051a36ca-c911-447f-8b81-56c109603b02 a5fea8ae-53d8-48d9-851d-766779474d7a f0ed32f0-5152-4537-9c8b-8b0eed294fd7 b337f3fb-b583-4fc2-9ba1-99620dd5c75a a5ea89e1-cc51-4d56-aea2-9f8020fe5d12 0056d09c-222d-4e4f-aebc-da7f78cbc3e6 0c239a2f-823c-4fed-8dc4-844394ac04b5 e43e9ff8-cd09-4fd9-b2b5-e6ae50fb83e1 ca0133a0-7770-4048-b6c9-d239378f8111 e425cbf1-2c09-4fc3-b486-81761fb299dd 1689c519-5a1c-4dfe-8ff2-2dfde171ab35 34 95e30d3c-82ad-4de3-90fc-807db65cd5b8 Group afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true c2173391-9a8e-4e7a-97d2-9bceb33b1ecc Explode Explode 6218 1570 136 44 6285 1592 Curve to explode b8a263f2-ac78-4ba9-94fd-49acc35446e5 Curve Curve false e67b2c1f-9492-474f-abbf-c0be8e311c9c 1 6220 1572 50 20 6246.5 1582 Recursive decomposition until all segments are atomic 046587df-01ff-4a02-be3f-9e410a045cf2 Recursive Recursive false 0 6220 1592 50 20 6246.5 1602 1 1 {0} true 1 Exploded segments that make up the base curve 13acc0c1-8862-42e5-9c5d-27422abfe6d2 Segments Segments false 0 6300 1572 52 20 6327.5 1582 1 Vertices of the exploded segments e00f5a8f-4075-4204-a559-7e82cda94fb0 Vertices Vertices false 0 6300 1592 52 20 6327.5 1602 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 4e11aadd-afad-41bf-a564-a86a17687335 Evaluate Length Evaluate Length 6214 1487 144 64 6288 1519 Curve to evaluate 9e848bb4-9abe-40e0-9f8a-d51625a16bb4 Curve Curve false 13acc0c1-8862-42e5-9c5d-27422abfe6d2 1 6216 1489 57 20 6246 1499 Length factor for curve evaluation 0b5d8eaf-59a8-405c-975d-76cb1d6a6462 Length Length false 0 6216 1509 57 20 6246 1519 1 1 {0} 0.5 If True, the Length factor is normalized (0.0 ~ 1.0) 0e499650-8eca-4c73-b2b4-90659c50f11a Normalized Normalized false 0 6216 1529 57 20 6246 1539 1 1 {0} true Point at the specified length 9eba1d64-e6a4-4aad-bb33-cdc83e71516b Point Point false 0 6303 1489 53 20 6331 1499 Tangent vector at the specified length e68c0039-19aa-4daa-8eb4-6eb6227e51ee Tangent Tangent false 0 6303 1509 53 20 6331 1519 Curve parameter at the specified length 8567c19f-2b1d-4b40-b7da-b8ad1f253316 Parameter Parameter false 0 6303 1529 53 20 6331 1539 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} 4ae4df24-2f99-4795-8f63-155b366c00fe true Line SDL Line SDL 6225 -146 122 64 6305 -114 Line start point 64d9d1a0-769a-402c-a75c-cbb68cb3f200 true Start Start false 9eba1d64-e6a4-4aad-bb33-cdc83e71516b 1 6227 -144 63 20 6268 -134 Line tangent (direction) 1895588b-bb25-4870-a2b2-47b0edaebbe4 true Direction Direction false a23e2cf3-ea06-4964-92cc-f11fbbbabb57 1 6227 -124 63 20 6268 -114 1 1 {0} 0 0 1 Line length 6cd6b1b5-375b-42ba-a879-6599a465f1a0 ABS(X) true Length Length false b7b76c82-d159-4ec4-b9e8-11d7e956ec88 1 6227 -104 63 20 6268 -94 1 1 {0} 0.015625 Line segment 851bb5f0-6f19-41b7-8d26-02595561c63b true Line Line false 0 6320 -144 25 60 6334 -114 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data f3c8e720-ce95-4e38-8e06-e693b8c356ab Relative Differences Relative Differences 6222 1144 128 28 6275 1158 1 List of data to operate on (numbers or points or vectors allowed) e892cede-5cd0-4a0a-be76-956d07883921 Values Values false 1ba010cb-f3ae-465e-a185-7beb532c67d5 1 6224 1146 36 24 6243.5 1158 1 Differences between consecutive items 358a17cb-2a34-4aa5-88e6-af6089a12c5d Differenced Differenced false 0 6290 1146 58 24 6320.5 1158 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 5a7cd726-3ae9-490f-9b45-17de9dd90264 Replace Nulls Replace Nulls 6218 1200 136 44 6304 1222 1 Items to test for null 22056a4b-bc2e-44ad-9cf6-3b8552023239 Items Items false 2e6f7300-ee3c-41f7-bb25-0bbab17d479a 1 6220 1202 69 20 6256 1212 1 Items to replace nulls with e10fbf55-7ba6-42db-9a0a-8e942a610221 Replacements Replacements false 0 6220 1222 69 20 6256 1232 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls 1ba010cb-f3ae-465e-a185-7beb532c67d5 Items Items false 0 6319 1202 33 20 6337 1212 Number of items replaced 84ab773d-e62a-40b9-ae9d-f2955d9761b8 Count Count false 0 6319 1222 33 20 6337 1232 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. 67584921-233c-426e-b5f5-c1072eede078 List Length List Length 6240 1095 93 28 6279 1109 1 Base list 7eb5ace3-fe77-4163-af40-5831d9a46068 List List false 358a17cb-2a34-4aa5-88e6-af6089a12c5d 1 6242 1097 22 24 6254.5 1109 Number of items in L ae7fd885-2822-476b-bcc9-49d4d24b66d0 Length Length false 0 6294 1097 37 24 6314 1109 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. 8bb00c53-94be-4d79-b85c-d34c42cc44d7 List Item List Item 6249 932 74 64 6297 964 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list 4efce395-835f-4efb-9d55-38735d853847 List List false 358a17cb-2a34-4aa5-88e6-af6089a12c5d 1 6251 934 31 20 6268 944 Item index e8cd058f-c6f6-4994-a14b-e6e50c4e0fa9 Index Index false 38dd3c19-c8d9-44d6-8d22-145fdcfcce61 1 6251 954 31 20 6268 964 1 1 {0} 0 Wrap index to list bounds cde42760-a556-4869-bea1-10f8b8e13cca Wrap Wrap false 0 6251 974 31 20 6268 984 1 1 {0} false Item at {i'} 94fd9c57-9006-4d3d-b5e6-e483b14c6cae false Item i false 0 6312 934 9 60 6318 964 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. d04b43ca-ddb0-48a3-8353-aad50bf2c946 Series Series 6228 1014 117 64 6294 1046 First number in the series c70f4476-edbb-4f75-94b0-c9284ed97ca0 Start Start false 0 6230 1016 49 20 6264 1026 1 1 {0} 1 Step size for each successive number 2e383cf4-b7be-4b82-a9c8-e979e4a7b273 Step Step false 0 6230 1036 49 20 6264 1046 1 1 {0} 1 Number of values in the series d78de03c-bc95-4101-9a3f-60ce0930be8b X-1 Count Count false ae7fd885-2822-476b-bcc9-49d4d24b66d0 1 6230 1056 49 20 6264 1066 1 1 {0} 10 1 Series of numbers 38dd3c19-c8d9-44d6-8d22-145fdcfcce61 Series Series false 0 6309 1016 34 60 6327.5 1046 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2e6f7300-ee3c-41f7-bb25-0bbab17d479a Relay false e286d01e-ac40-479b-9506-fea4034f1b81 1 6266 1263 40 16 6286 1271 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3594fd66-0803-4631-b1d4-89f40175b866 Relay false 94fd9c57-9006-4d3d-b5e6-e483b14c6cae 1 6266 899 40 16 6286 907 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f3c8e720-ce95-4e38-8e06-e693b8c356ab 5a7cd726-3ae9-490f-9b45-17de9dd90264 67584921-233c-426e-b5f5-c1072eede078 8bb00c53-94be-4d79-b85c-d34c42cc44d7 d04b43ca-ddb0-48a3-8353-aad50bf2c946 2e6f7300-ee3c-41f7-bb25-0bbab17d479a 3594fd66-0803-4631-b1d4-89f40175b866 7 cd58ea0d-696d-4ca1-88b6-69bc7d529723 Group 2dc44b22-b1dd-460a-a704-6462d6e91096 Curve Closest Point Find the closest point on a curve. true 4a450fdf-eb05-4862-b1a1-33386eb3b2f6 Curve Closest Point Curve Closest Point 6226 1399 120 64 6276 1431 Point to project onto curve ee7e76ad-39f7-4e59-863c-9fb2822ac272 Point Point false 9eba1d64-e6a4-4aad-bb33-cdc83e71516b 1 6228 1401 33 30 6246 1416 Curve to project onto be18689b-7792-40ce-8c99-d96f24ee991c Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6228 1431 33 30 6246 1446 Point on the curve closest to the base point a47298b8-ebe1-4614-9039-c3d8f832d608 Point Point false 0 6291 1401 53 20 6319 1411 Parameter on curve domain of closest point 7f60179f-a1fa-4cbf-8be7-8facf248d06d Parameter Parameter false 0 6291 1421 53 20 6319 1431 Distance between base point and curve c5f6ba4a-034a-4917-9fec-7a66d09c4405 Distance Distance false 0 6291 1441 53 20 6319 1451 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true 207075b0-9c45-4890-8bdf-7e9e10451f89 Line Line 6229 1320 114 44 6301 1342 Line start point 4423b7fe-4f16-4951-8a55-247ec82aa0f8 Start Point Start Point false a47298b8-ebe1-4614-9039-c3d8f832d608 1 6231 1322 55 20 6260 1332 Line end point 35fd51bf-3b55-41ce-ae8c-f4cbb4540e78 End Point End Point false 9eba1d64-e6a4-4aad-bb33-cdc83e71516b 1 6231 1342 55 20 6260 1352 Line segment a23e2cf3-ea06-4964-92cc-f11fbbbabb57 Line Line false 0 6316 1322 25 40 6330 1342 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true f7e09984-3f7e-4410-a289-e424bfef65a1 Remap Numbers Remap Numbers 6229 156 115 64 6284 188 Value to remap 4bad90a2-e44c-4931-b7fd-b0d208b65846 Value Value false 084ee3ba-1284-44be-843a-bf69fc327457 1 6231 158 38 20 6251.5 168 Source domain 62d345b8-2a9f-418b-af0b-e6ba6f57fcd9 Source Source false 5a889dfb-bbf2-4802-b561-48450aea370f 1 6231 178 38 20 6251.5 188 1 1 {0} 0 1 Target domain fd829a41-9182-43d0-9f50-3be3e951920c Target Target false 0 6231 198 38 20 6251.5 208 1 1 {0} -1 1 Remapped number 40797dcf-e023-4404-853a-0b08bc840607 Mapped Mapped false 0 6299 158 43 30 6322 173 Remapped and clipped number f8adb1a9-894a-4ad1-a8ce-6bd2fb97b1ac Clipped Clipped false 0 6299 188 43 30 6322 203 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 47edebd9-99ae-4881-889e-0273bbc87baa Bounds Bounds 6225 238 122 28 6289 252 1 Numbers to include in Bounds 78728100-b298-4174-8052-e2e24c92007f Numbers Numbers false 084ee3ba-1284-44be-843a-bf69fc327457 1 6227 240 47 24 6252 252 Numeric Domain between the lowest and highest numbers in {N} 5a889dfb-bbf2-4802-b561-48450aea370f Domain Domain false 0 6304 240 41 24 6326 252 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 084ee3ba-1284-44be-843a-bf69fc327457 Relay false 3594fd66-0803-4631-b1d4-89f40175b866 1 6266 285 40 16 6286 293 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true db13282f-4f15-4468-9784-26e12e8cb369 Multiplication Multiplication 6245 -43 82 44 6276 -21 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication af282b3f-c85f-43eb-9a93-609b72e97763 A A true 4f568e41-4545-485e-adea-dc069a342f57 1 6247 -41 14 20 6255.5 -31 Second item for multiplication c6cfd35f-cb2e-452d-93f5-37774ca76418 B B true 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 1 6247 -21 14 20 6255.5 -11 Result of multiplication b7b76c82-d159-4ec4-b9e8-11d7e956ec88 Result Result false 0 6291 -41 34 40 6309.5 -21 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true d22a5bfb-b449-4055-9266-410dcf2812a4 Multiplication Multiplication 6245 64 82 44 6276 86 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication d4f101d3-04e8-4356-b349-6eaf35c3384c A A true 8459cedb-46a1-47f4-abe0-7a20e0b7de1d 1 6247 66 14 20 6255.5 76 Second item for multiplication ac87f028-a3b4-433a-b83d-ff02c11cf012 B B true 40797dcf-e023-4404-853a-0b08bc840607 1 6247 86 14 20 6255.5 96 Result of multiplication 4f568e41-4545-485e-adea-dc069a342f57 Result Result false 0 6291 66 34 40 6309.5 86 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 8459cedb-46a1-47f4-abe0-7a20e0b7de1d Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 129 40 16 6286 137 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 Digit Scroller false 0 12 1 0.16125000000 6162 38 250 20 6162.073 38.77576 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects f7e09984-3f7e-4410-a289-e424bfef65a1 47edebd9-99ae-4881-889e-0273bbc87baa 084ee3ba-1284-44be-843a-bf69fc327457 db13282f-4f15-4468-9784-26e12e8cb369 d22a5bfb-b449-4055-9266-410dcf2812a4 8459cedb-46a1-47f4-abe0-7a20e0b7de1d 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 7 2584af31-71b2-49b6-b8d4-e39012a2b370 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c2173391-9a8e-4e7a-97d2-9bceb33b1ecc 4e11aadd-afad-41bf-a564-a86a17687335 4a450fdf-eb05-4862-b1a1-33386eb3b2f6 207075b0-9c45-4890-8bdf-7e9e10451f89 4 47215bb4-c3a1-4c06-a708-ab9ccc9bc93b Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5b6c43df-6ef8-4b5f-a8b0-464f2953ec75 true Expression Expression 6189 799 194 28 6289 813 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable b9dc09fe-ea9a-4c60-b906-7ee7324e9d2c true Variable O O true f0ed32f0-5152-4537-9c8b-8b0eed294fd7 1 6191 801 14 24 6199.5 813 Result of expression 2eebf3eb-e0a9-41a0-baed-8ffe39e85863 true Result false 0 6372 801 9 24 6378 813 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 051a36ca-c911-447f-8b81-56c109603b02 Panel false 1 2eebf3eb-e0a9-41a0-baed-8ffe39e85863 1 Double click to edit panel content… 6194 521 185 271 0 0 0 6194.408 521.1686 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object a5fea8ae-53d8-48d9-851d-766779474d7a Relay false 051a36ca-c911-447f-8b81-56c109603b02 1 6266 490 40 16 6286 498 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object f0ed32f0-5152-4537-9c8b-8b0eed294fd7 Relay false 3594fd66-0803-4631-b1d4-89f40175b866 1 6266 846 40 16 6286 854 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5b6c43df-6ef8-4b5f-a8b0-464f2953ec75 051a36ca-c911-447f-8b81-56c109603b02 a5fea8ae-53d8-48d9-851d-766779474d7a f0ed32f0-5152-4537-9c8b-8b0eed294fd7 4 b337f3fb-b583-4fc2-9ba1-99620dd5c75a Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true a5ea89e1-cc51-4d56-aea2-9f8020fe5d12 Create Material Create Material 6214 -272 144 104 6298 -220 Colour of the diffuse channel d7a959dd-dc8c-4d93-955d-51c5e2ba1426 Diffuse Diffuse false 0 6216 -270 67 20 6251 -260 1 1 {0} 255;232;232;232 Colour of the specular highlight e73992dd-bc21-434f-8a9d-db59d8880dd0 Specular Specular false 0 6216 -250 67 20 6251 -240 1 1 {0} 255;0;255;255 Emissive colour of the material bb0cad7d-265f-41d1-9cac-14893cb975e9 Emission Emission false 0 6216 -230 67 20 6251 -220 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 1cf75423-c886-4515-a495-53670c77fa73 Transparency Transparency false 0 6216 -210 67 20 6251 -200 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 56ef0f4b-4e11-4557-9e1d-8e5ded53efdc Shine Shine false 0 6216 -190 67 20 6251 -180 1 1 {0} 100 Resulting material d7255d9e-2741-462d-bbff-d50d959faa83 Material Material false 0 6313 -270 43 100 6336 -220 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 0056d09c-222d-4e4f-aebc-da7f78cbc3e6 Custom Preview Custom Preview 6245 -343 82 44 6313 -321 Geometry to preview true 1a0f32d8-14d8-4e2f-b06a-84b77e6b3bc3 Geometry Geometry false 851bb5f0-6f19-41b7-8d26-02595561c63b 1 6247 -341 51 20 6274 -331 The material override 58057c0f-1911-491e-98fe-e17449b4740f Material Material false d7255d9e-2741-462d-bbff-d50d959faa83 1 6247 -321 51 20 6274 -311 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 0c239a2f-823c-4fed-8dc4-844394ac04b5 Evaluate Length Evaluate Length 6214 -431 144 64 6288 -399 Curve to evaluate 6051dcd5-ba98-4743-8fb1-6ff4deb1960c Curve Curve false 851bb5f0-6f19-41b7-8d26-02595561c63b 1 6216 -429 57 20 6246 -419 Length factor for curve evaluation 0b6d08a3-c0ac-4489-b353-af2df5b5cff0 Length Length false 0 6216 -409 57 20 6246 -399 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) b0c40002-f901-405f-90ae-002a25052d77 Normalized Normalized false 0 6216 -389 57 20 6246 -379 1 1 {0} true Point at the specified length 27c9a979-62d0-4b82-8b87-1ca7304bfc7b Point Point false 0 6303 -429 53 20 6331 -419 Tangent vector at the specified length 2cc1863e-23a1-485f-8371-c481068b24ef Tangent Tangent false 0 6303 -409 53 20 6331 -399 Curve parameter at the specified length aede08da-7f7c-4203-af12-25db6b010577 Parameter Parameter false 0 6303 -389 53 20 6331 -379 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. e43e9ff8-cd09-4fd9-b2b5-e6ae50fb83e1 Interpolate Interpolate 6224 -536 125 84 6291 -494 1 Interpolation points fceab67e-a28d-4e01-9258-0a674a88b257 Vertices Vertices false 27c9a979-62d0-4b82-8b87-1ca7304bfc7b 1 6226 -534 50 20 6252.5 -524 Curve degree 45b29918-a073-42cf-b173-cf201104b2db Degree Degree false 0 6226 -514 50 20 6252.5 -504 1 1 {0} 1 Periodic curve 35b50d3f-731f-4b94-802a-b15f8a031129 Periodic Periodic false 0 6226 -494 50 20 6252.5 -484 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) ff69db34-4d54-44e1-b070-3081fa93f2b3 KnotStyle KnotStyle false 0 6226 -474 50 20 6252.5 -464 1 1 {0} 2 Resulting nurbs curve 591c43c1-1b26-4993-8a6e-1d5ae5e4f6ca Curve Curve false 0 6306 -534 41 26 6328 -520.6667 Curve length 33f93ec5-4fb6-4b9b-9a52-bfb7e29afa0b Length Length false 0 6306 -508 41 27 6328 -494 Curve domain 85f05752-7769-466e-bf08-1053b6d5d335 Domain Domain false 0 6306 -481 41 27 6328 -467.3333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true ca0133a0-7770-4048-b6c9-d239378f8111 Create Material Create Material 6214 -663 144 104 6298 -611 Colour of the diffuse channel 2a915da2-ee5b-4d11-bc19-a3c8cc624c4d Diffuse Diffuse false 0 6216 -661 67 20 6251 -651 1 1 {0} 255;207;207;207 Colour of the specular highlight 9ba602ad-c720-48bd-bf6e-2f6a64b29339 Specular Specular false 0 6216 -641 67 20 6251 -631 1 1 {0} 255;0;255;255 Emissive colour of the material 74c64b53-9939-414b-a21b-27595ed8ac90 Emission Emission false 0 6216 -621 67 20 6251 -611 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent d9bce065-464c-43dd-b9cb-c05691b7c4e2 Transparency Transparency false 0 6216 -601 67 20 6251 -591 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 459bbebf-039a-4d6d-8ade-422d1c183ee7 Shine Shine false 0 6216 -581 67 20 6251 -571 1 1 {0} 100 Resulting material bd9984dd-4104-432e-90f2-08b1c05aa6db Material Material false 0 6313 -661 43 100 6336 -611 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true e425cbf1-2c09-4fc3-b486-81761fb299dd Custom Preview Custom Preview 6245 -729 82 44 6313 -707 Geometry to preview true a5ddc6bc-5cf2-44c9-abe2-c91fd6e51e82 Geometry Geometry false 591c43c1-1b26-4993-8a6e-1d5ae5e4f6ca 1 6247 -727 51 20 6274 -717 The material override 6703fb2d-788e-4d57-b8e5-8a3523519348 Material Material false bd9984dd-4104-432e-90f2-08b1c05aa6db 1 6247 -707 51 20 6274 -697 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 1689c519-5a1c-4dfe-8ff2-2dfde171ab35 Quick Graph Quick Graph false 0 f0ed32f0-5152-4537-9c8b-8b0eed294fd7 1 6212 324 150 150 6212.228 324.6456 -1 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 99f4ebd5-042d-43e6-bfed-05074051684a 3034a781-671d-4a5e-aa58-73181cba0888 8f284709-650a-41c6-aa40-ca64761a5e3d 5172507a-b39d-4c9e-a3d7-b8d4aa54e142 106003f9-4eff-4d79-8a51-efb10775bda4 48c4ee3a-2b00-48a0-88da-e1b169cb3787 4d7a9d1f-da6b-40e0-89e8-4e5f8ad2e110 2ad88e08-8f66-42be-89a3-61ac83f5bfda 30dab452-a43e-44ee-8ccb-3f85c830c828 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 eb9aa334-81cc-47d0-b9ff-8a9a395afc78 c929707d-ec52-43e3-a77e-a59d2164ed41 b1f6c0d9-3977-48cb-bb46-c3b3001aca69 362b123d-d24d-4601-afdd-d2a479b1724c 96f18f85-a147-4cf5-92c5-4ced87b93dab 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 52b0cf76-e00b-4273-8a6d-fa1e5455156a 487934d5-09c1-4cef-b476-d21414d36460 45565072-09a0-4c4e-8876-649e8c15f959 827fd7a9-6561-44c6-b603-e62f6ee022df 608806b5-e6e4-4ced-80db-56f7b1983c02 96b8fe41-ba06-4078-89c3-4630e325edaa 5e18c129-239d-4f8a-b7f5-dd959ed6383d b847c6ad-8b60-4fae-9b78-5c7f02c1266a d5664440-f6b4-4b10-933e-a42f0499a237 7897d203-6bd2-4606-9adc-12b1f77de771 21df89f2-1d28-43fd-9388-582e94391280 43b918d6-9705-45be-95f1-05eca87ad73c f171eda7-0b3b-474b-9488-a61e849583dd 261667ac-0bc3-49dd-9735-9cf23553d734 53ac0034-58e2-46a7-8239-f845fa90998c 83d91221-c354-4f1f-8819-17daab3e60db 411e8f77-5869-4760-b875-f9b6d414bad5 685bb45a-5cc0-4017-9ab6-9fd9fa22e358 34 645b73ef-d12d-44d7-be2a-24a1ace410ba Group afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true 99f4ebd5-042d-43e6-bfed-05074051684a Explode Explode 6218 -914 136 44 6285 -892 Curve to explode 726878d2-9958-441e-874e-65b17bdae673 Curve Curve false 591c43c1-1b26-4993-8a6e-1d5ae5e4f6ca 1 6220 -912 50 20 6246.5 -902 Recursive decomposition until all segments are atomic 9f480873-e5d9-4d4c-9ddf-a7103ebaefd5 Recursive Recursive false 0 6220 -892 50 20 6246.5 -882 1 1 {0} true 1 Exploded segments that make up the base curve aec7139f-30dc-447d-a0c1-8efe7237c017 Segments Segments false 0 6300 -912 52 20 6327.5 -902 1 Vertices of the exploded segments 1aee6137-0822-462b-ac04-b3b7b5bdaff2 Vertices Vertices false 0 6300 -892 52 20 6327.5 -882 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 3034a781-671d-4a5e-aa58-73181cba0888 Evaluate Length Evaluate Length 6214 -997 144 64 6288 -965 Curve to evaluate 55f26b6c-d4ab-40e5-a19a-3182140e320c Curve Curve false aec7139f-30dc-447d-a0c1-8efe7237c017 1 6216 -995 57 20 6246 -985 Length factor for curve evaluation ad57fddd-f6aa-4b74-b291-c392d0067561 Length Length false 0 6216 -975 57 20 6246 -965 1 1 {0} 0.5 If True, the Length factor is normalized (0.0 ~ 1.0) c44ab68c-4f99-4f0a-9727-54fc2cc78370 Normalized Normalized false 0 6216 -955 57 20 6246 -945 1 1 {0} true Point at the specified length 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e Point Point false 0 6303 -995 53 20 6331 -985 Tangent vector at the specified length dc8d874e-7971-4aaa-ba69-dea55ccb29b7 Tangent Tangent false 0 6303 -975 53 20 6331 -965 Curve parameter at the specified length 3ea880c8-b3f9-4d8e-9392-ef06bc46277b Parameter Parameter false 0 6303 -955 53 20 6331 -945 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} 8f284709-650a-41c6-aa40-ca64761a5e3d true Line SDL Line SDL 6225 -2630 122 64 6305 -2598 Line start point f0834f43-a33d-4596-af55-1cdffccfb512 true Start Start false 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e 1 6227 -2628 63 20 6268 -2618 Line tangent (direction) 38c78553-4606-456d-9062-ff83420fe49f true Direction Direction false 8f5ad1ce-e817-40da-95ff-7472f05dd9a9 1 6227 -2608 63 20 6268 -2598 1 1 {0} 0 0 1 Line length c3c34f02-8914-41a8-add6-ccfcf1188870 ABS(X) true Length Length false 884d8e3f-f035-4339-9d0b-62ba64e36791 1 6227 -2588 63 20 6268 -2578 1 1 {0} 0.015625 Line segment 397e22d9-79cd-449a-a56e-078e70acbb3a true Line Line false 0 6320 -2628 25 60 6334 -2598 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data 5172507a-b39d-4c9e-a3d7-b8d4aa54e142 Relative Differences Relative Differences 6222 -1340 128 28 6275 -1326 1 List of data to operate on (numbers or points or vectors allowed) fb302bb2-a553-4597-9b38-273b1313bc72 Values Values false df8fc6d6-4c84-4670-b5c9-e2322c6bfb7d 1 6224 -1338 36 24 6243.5 -1326 1 Differences between consecutive items 070d53b4-8566-4d7b-be52-d533551d83e6 Differenced Differenced false 0 6290 -1338 58 24 6320.5 -1326 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 106003f9-4eff-4d79-8a51-efb10775bda4 Replace Nulls Replace Nulls 6218 -1284 136 44 6304 -1262 1 Items to test for null decaa776-d32b-4d88-b173-dbb171e14f6c Items Items false 30dab452-a43e-44ee-8ccb-3f85c830c828 1 6220 -1282 69 20 6256 -1272 1 Items to replace nulls with 9ed13418-c8f1-44f2-a0da-89dd957f99f4 Replacements Replacements false 0 6220 -1262 69 20 6256 -1252 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls df8fc6d6-4c84-4670-b5c9-e2322c6bfb7d Items Items false 0 6319 -1282 33 20 6337 -1272 Number of items replaced 424c331f-b3c4-47f2-bb18-4a80b8497fc5 Count Count false 0 6319 -1262 33 20 6337 -1252 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. 48c4ee3a-2b00-48a0-88da-e1b169cb3787 List Length List Length 6240 -1389 93 28 6279 -1375 1 Base list 3e75b05e-ad5d-4518-b769-cb96a49dae04 List List false 070d53b4-8566-4d7b-be52-d533551d83e6 1 6242 -1387 22 24 6254.5 -1375 Number of items in L 78f085a5-2f26-4487-bbb2-61e6955aecc8 Length Length false 0 6294 -1387 37 24 6314 -1375 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. 4d7a9d1f-da6b-40e0-89e8-4e5f8ad2e110 List Item List Item 6249 -1552 74 64 6297 -1520 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list d05d80b6-324f-42b0-9eba-31943d9f85cd List List false 070d53b4-8566-4d7b-be52-d533551d83e6 1 6251 -1550 31 20 6268 -1540 Item index 090e55cd-472a-48e2-91a6-2975e2282469 Index Index false 2130feec-5bf7-4a85-a73c-b63575af8433 1 6251 -1530 31 20 6268 -1520 1 1 {0} 0 Wrap index to list bounds 83637ba0-d639-47d7-b377-010f2389430e Wrap Wrap false 0 6251 -1510 31 20 6268 -1500 1 1 {0} false Item at {i'} 72846cba-26e1-4135-895f-6fc9bfc32db7 false Item i false 0 6312 -1550 9 60 6318 -1520 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. 2ad88e08-8f66-42be-89a3-61ac83f5bfda Series Series 6228 -1470 117 64 6294 -1438 First number in the series c6e4e0d8-22a2-4d34-8faa-302658a2226d Start Start false 0 6230 -1468 49 20 6264 -1458 1 1 {0} 1 Step size for each successive number 2ebe27c9-7bf2-4baa-8833-67ed42caeb3d Step Step false 0 6230 -1448 49 20 6264 -1438 1 1 {0} 1 Number of values in the series 5cbe1274-cdbe-4569-9128-7ab946725298 X-1 Count Count false 78f085a5-2f26-4487-bbb2-61e6955aecc8 1 6230 -1428 49 20 6264 -1418 1 1 {0} 10 1 Series of numbers 2130feec-5bf7-4a85-a73c-b63575af8433 Series Series false 0 6309 -1468 34 60 6327.5 -1438 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 30dab452-a43e-44ee-8ccb-3f85c830c828 Relay false 3594fd66-0803-4631-b1d4-89f40175b866 1 6266 -1221 40 16 6286 -1213 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 Relay false 72846cba-26e1-4135-895f-6fc9bfc32db7 1 6266 -1585 40 16 6286 -1577 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5172507a-b39d-4c9e-a3d7-b8d4aa54e142 106003f9-4eff-4d79-8a51-efb10775bda4 48c4ee3a-2b00-48a0-88da-e1b169cb3787 4d7a9d1f-da6b-40e0-89e8-4e5f8ad2e110 2ad88e08-8f66-42be-89a3-61ac83f5bfda 30dab452-a43e-44ee-8ccb-3f85c830c828 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 7 eb9aa334-81cc-47d0-b9ff-8a9a395afc78 Group 2dc44b22-b1dd-460a-a704-6462d6e91096 Curve Closest Point Find the closest point on a curve. true c929707d-ec52-43e3-a77e-a59d2164ed41 Curve Closest Point Curve Closest Point 6226 -1085 120 64 6276 -1053 Point to project onto curve 42755844-e7de-4db7-8a2a-3a0d4c3ce5d4 Point Point false 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e 1 6228 -1083 33 30 6246 -1068 Curve to project onto d49ab0e6-18b4-4649-8ee9-c5f61f6fdd55 Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6228 -1053 33 30 6246 -1038 Point on the curve closest to the base point c415bd73-56f6-4b0a-9422-91f678cddb7e Point Point false 0 6291 -1083 53 20 6319 -1073 Parameter on curve domain of closest point bd9e01e3-c3dc-4365-a5a6-788209c16e83 Parameter Parameter false 0 6291 -1063 53 20 6319 -1053 Distance between base point and curve 7225e974-aa3c-436e-971b-e838a4f636f2 Distance Distance false 0 6291 -1043 53 20 6319 -1033 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true b1f6c0d9-3977-48cb-bb46-c3b3001aca69 Line Line 6229 -1164 114 44 6301 -1142 Line start point d5c9f524-f8c5-4510-80d0-ec21203f62dc Start Point Start Point false c415bd73-56f6-4b0a-9422-91f678cddb7e 1 6231 -1162 55 20 6260 -1152 Line end point e350abed-7246-450c-83a3-8ce7192c5a30 End Point End Point false 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e 1 6231 -1142 55 20 6260 -1132 Line segment 8f5ad1ce-e817-40da-95ff-7472f05dd9a9 Line Line false 0 6316 -1162 25 40 6330 -1142 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 362b123d-d24d-4601-afdd-d2a479b1724c Remap Numbers Remap Numbers 6229 -2328 115 64 6284 -2296 Value to remap 8f77db8c-2752-4e74-8a07-ff14d0b33d38 Value Value false 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 1 6231 -2326 38 20 6251.5 -2316 Source domain d17b356f-66ba-479d-b3fe-472e74bbdb51 Source Source false a9ce8cb3-9edf-43ab-b836-1c88486898cb 1 6231 -2306 38 20 6251.5 -2296 1 1 {0} 0 1 Target domain 600832b1-fc79-4942-bb16-3aa1f8be9c4d Target Target false 0 6231 -2286 38 20 6251.5 -2276 1 1 {0} -1 1 Remapped number a1d09801-cd47-47b6-941f-d7ae92679e56 Mapped Mapped false 0 6299 -2326 43 30 6322 -2311 Remapped and clipped number c9d3fad9-c15f-4711-a194-05af62c65dce Clipped Clipped false 0 6299 -2296 43 30 6322 -2281 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 96f18f85-a147-4cf5-92c5-4ced87b93dab Bounds Bounds 6225 -2246 122 28 6289 -2232 1 Numbers to include in Bounds c95818d1-cd78-4a3b-bdfe-9e817582a897 Numbers Numbers false 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 1 6227 -2244 47 24 6252 -2232 Numeric Domain between the lowest and highest numbers in {N} a9ce8cb3-9edf-43ab-b836-1c88486898cb Domain Domain false 0 6304 -2244 41 24 6326 -2232 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 Relay false 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 1 6266 -2199 40 16 6286 -2191 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 52b0cf76-e00b-4273-8a6d-fa1e5455156a Multiplication Multiplication 6245 -2527 82 44 6276 -2505 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 1ea496b7-d1d4-4763-a3fb-07d6f8745a56 A A true 1b2424de-5d5c-4396-8636-89730f6d36e6 1 6247 -2525 14 20 6255.5 -2515 Second item for multiplication 99d807b9-839d-43b2-b8c4-df8c17675917 B B true 827fd7a9-6561-44c6-b603-e62f6ee022df 1 6247 -2505 14 20 6255.5 -2495 Result of multiplication 884d8e3f-f035-4339-9d0b-62ba64e36791 Result Result false 0 6291 -2525 34 40 6309.5 -2505 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 487934d5-09c1-4cef-b476-d21414d36460 Multiplication Multiplication 6245 -2420 82 44 6276 -2398 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 04f19f7b-b9b5-4b87-9a36-eaf63815032b A A true 45565072-09a0-4c4e-8876-649e8c15f959 1 6247 -2418 14 20 6255.5 -2408 Second item for multiplication 1e861755-92f5-4f56-9fe9-69147a82efd2 B B true a1d09801-cd47-47b6-941f-d7ae92679e56 1 6247 -2398 14 20 6255.5 -2388 Result of multiplication 1b2424de-5d5c-4396-8636-89730f6d36e6 Result Result false 0 6291 -2418 34 40 6309.5 -2398 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 45565072-09a0-4c4e-8876-649e8c15f959 Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 -2355 40 16 6286 -2347 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 827fd7a9-6561-44c6-b603-e62f6ee022df Digit Scroller false 0 12 1 0.50000000000 6162 -2443 250 20 6162.326 -2442.704 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 362b123d-d24d-4601-afdd-d2a479b1724c 96f18f85-a147-4cf5-92c5-4ced87b93dab 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 52b0cf76-e00b-4273-8a6d-fa1e5455156a 487934d5-09c1-4cef-b476-d21414d36460 45565072-09a0-4c4e-8876-649e8c15f959 827fd7a9-6561-44c6-b603-e62f6ee022df 7 608806b5-e6e4-4ced-80db-56f7b1983c02 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 99f4ebd5-042d-43e6-bfed-05074051684a 3034a781-671d-4a5e-aa58-73181cba0888 c929707d-ec52-43e3-a77e-a59d2164ed41 b1f6c0d9-3977-48cb-bb46-c3b3001aca69 4 96b8fe41-ba06-4078-89c3-4630e325edaa Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 5e18c129-239d-4f8a-b7f5-dd959ed6383d true Expression Expression 6189 -1685 194 28 6289 -1671 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 68ad69bd-18ba-4653-9373-a21b8b1e2eae true Variable O O true 7897d203-6bd2-4606-9adc-12b1f77de771 1 6191 -1683 14 24 6199.5 -1671 Result of expression c6788cd1-8fd1-4520-94eb-8fce5f41029f true Result false 0 6372 -1683 9 24 6378 -1671 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b847c6ad-8b60-4fae-9b78-5c7f02c1266a Panel false 1 c6788cd1-8fd1-4520-94eb-8fce5f41029f 1 Double click to edit panel content… 6194 -1961 185 271 0 0 0 6194.661 -1960.312 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d5664440-f6b4-4b10-933e-a42f0499a237 Relay false b847c6ad-8b60-4fae-9b78-5c7f02c1266a 1 6266 -1994 40 16 6286 -1986 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7897d203-6bd2-4606-9adc-12b1f77de771 Relay false 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 1 6266 -1638 40 16 6286 -1630 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5e18c129-239d-4f8a-b7f5-dd959ed6383d b847c6ad-8b60-4fae-9b78-5c7f02c1266a d5664440-f6b4-4b10-933e-a42f0499a237 7897d203-6bd2-4606-9adc-12b1f77de771 4 21df89f2-1d28-43fd-9388-582e94391280 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 43b918d6-9705-45be-95f1-05eca87ad73c Create Material Create Material 6214 -2756 144 104 6298 -2704 Colour of the diffuse channel 8e1ad101-dc91-4e8d-b9bc-02a77dbb5628 Diffuse Diffuse false 0 6216 -2754 67 20 6251 -2744 1 1 {0} 255;224;224;224 Colour of the specular highlight 51fba7ca-f686-4780-9b16-6ba14b1372ef Specular Specular false 0 6216 -2734 67 20 6251 -2724 1 1 {0} 255;0;255;255 Emissive colour of the material 9d5540cc-54b4-49ed-a85e-deb875407125 Emission Emission false 0 6216 -2714 67 20 6251 -2704 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent be93035f-3fd6-4e9b-83f6-446736d14d65 Transparency Transparency false 0 6216 -2694 67 20 6251 -2684 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine d8f194e5-3992-4f80-9ca3-80613db8606e Shine Shine false 0 6216 -2674 67 20 6251 -2664 1 1 {0} 100 Resulting material 17c5a616-028f-4a92-b96a-780014d78121 Material Material false 0 6313 -2754 43 100 6336 -2704 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true f171eda7-0b3b-474b-9488-a61e849583dd Custom Preview Custom Preview 6245 -2827 82 44 6313 -2805 Geometry to preview true ed719e81-def1-405b-a28b-e651d359b8a3 Geometry Geometry false 397e22d9-79cd-449a-a56e-078e70acbb3a 1 6247 -2825 51 20 6274 -2815 The material override a9947868-af04-4179-b8c7-49a076c939dc Material Material false 17c5a616-028f-4a92-b96a-780014d78121 1 6247 -2805 51 20 6274 -2795 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 261667ac-0bc3-49dd-9735-9cf23553d734 Evaluate Length Evaluate Length 6214 -2915 144 64 6288 -2883 Curve to evaluate 550935cc-fd4a-471f-9184-d38d3d139c75 Curve Curve false 397e22d9-79cd-449a-a56e-078e70acbb3a 1 6216 -2913 57 20 6246 -2903 Length factor for curve evaluation 4c2298dc-23fe-432b-9a1c-0e18a872b63e Length Length false 0 6216 -2893 57 20 6246 -2883 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 1e529d20-e6f3-40d8-82be-0f6f4328de65 Normalized Normalized false 0 6216 -2873 57 20 6246 -2863 1 1 {0} true Point at the specified length 40a18db0-76e3-408c-8057-4da30a2716af Point Point false 0 6303 -2913 53 20 6331 -2903 Tangent vector at the specified length c2ec978e-876f-401f-ad22-f19d944e7274 Tangent Tangent false 0 6303 -2893 53 20 6331 -2883 Curve parameter at the specified length a865a33e-f969-4ab2-bf8d-2cb2260b1d3d Parameter Parameter false 0 6303 -2873 53 20 6331 -2863 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. 53ac0034-58e2-46a7-8239-f845fa90998c Interpolate Interpolate 6224 -3020 125 84 6291 -2978 1 Interpolation points d053db4b-c69c-4eb1-b1cb-0e6814657784 Vertices Vertices false 40a18db0-76e3-408c-8057-4da30a2716af 1 6226 -3018 50 20 6252.5 -3008 Curve degree c5b8ccf3-9faf-4659-a488-40c06d164788 Degree Degree false 0 6226 -2998 50 20 6252.5 -2988 1 1 {0} 1 Periodic curve 4b987ee7-539c-44a3-b88a-35aa4c877675 Periodic Periodic false 0 6226 -2978 50 20 6252.5 -2968 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 8fedf8ef-c557-4d82-a94b-49e121af1a76 KnotStyle KnotStyle false 0 6226 -2958 50 20 6252.5 -2948 1 1 {0} 2 Resulting nurbs curve 25ee6593-8965-46f1-aa54-6a03b97084dc Curve Curve false 0 6306 -3018 41 26 6328 -3004.667 Curve length ba493ba1-f95b-46a3-ac0b-e0e643bc29a5 Length Length false 0 6306 -2992 41 27 6328 -2978 Curve domain 14855a34-8316-41cb-b92f-e573279b4452 Domain Domain false 0 6306 -2965 41 27 6328 -2951.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 83d91221-c354-4f1f-8819-17daab3e60db Create Material Create Material 6214 -3147 144 104 6298 -3095 Colour of the diffuse channel 39e662d5-0ae9-4c2a-bdfb-69a56a10dc61 Diffuse Diffuse false 0 6216 -3145 67 20 6251 -3135 1 1 {0} 255;199;199;199 Colour of the specular highlight b1837f58-2d9b-4849-afdd-7968dfbd8e76 Specular Specular false 0 6216 -3125 67 20 6251 -3115 1 1 {0} 255;0;255;255 Emissive colour of the material a8eb8d9a-9689-4af9-8096-90ad4d0ff529 Emission Emission false 0 6216 -3105 67 20 6251 -3095 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 29a978c5-8eb3-4ced-a5f4-1dc8f2aa4a81 Transparency Transparency false 0 6216 -3085 67 20 6251 -3075 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 7578ec86-5424-449f-9fdb-9f91cbca8d68 Shine Shine false 0 6216 -3065 67 20 6251 -3055 1 1 {0} 100 Resulting material ff3245f5-c787-4bad-8e60-bdbb6c0d0d36 Material Material false 0 6313 -3145 43 100 6336 -3095 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 411e8f77-5869-4760-b875-f9b6d414bad5 Custom Preview Custom Preview 6245 -3213 82 44 6313 -3191 Geometry to preview true 97b76ad2-1df8-4234-ad50-8d41de6e84c0 Geometry Geometry false 25ee6593-8965-46f1-aa54-6a03b97084dc 1 6247 -3211 51 20 6274 -3201 The material override fa3b20ec-6319-46db-8ecd-eda0d98c7759 Material Material false ff3245f5-c787-4bad-8e60-bdbb6c0d0d36 1 6247 -3191 51 20 6274 -3181 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 685bb45a-5cc0-4017-9ab6-9fd9fa22e358 Quick Graph Quick Graph false 0 7897d203-6bd2-4606-9adc-12b1f77de771 1 6212 -2157 150 150 6212.48 -2156.834 -1 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ef5e3814-b9a9-4374-b436-0edd16a18fc8 c5bba97e-c446-4dac-9187-9677477309d4 b1b24cb8-e658-4655-9723-cd29cc7123e2 699adb97-e0c1-46d0-a5db-3042de93a077 6ae00ebb-d07a-41b6-9306-47e4785da946 abc51553-3f83-4762-bd5c-565aa883513f ffcb60d2-d38c-4a64-981c-194c1190e305 63114c88-a4c1-4e64-9ddf-01d82a477cc6 956c5521-ba7c-42b2-bb00-714f770479e2 e6c3b639-be98-4559-b61b-0cb8773ea56a 2d3b184c-35a3-43c3-8f7f-6d3b2cd69e79 3756038b-9485-46ff-9e54-1c5b05c53d48 c975ec9d-820a-4177-9a75-2d1d4dc1b212 5a5464fa-3d17-494f-8862-90fa7e27589e 4f49e8e6-1f9f-4dc1-bda3-6c01c1d84db8 7feeee32-a675-419d-b2fd-3fa0408805d2 c89dfe1f-7531-459c-be54-2487092cf8df ec4b8638-1bc3-4217-8636-f210c2330ef9 8b579e21-5bcb-49c4-9c7a-3964f410a65f aef06ed1-be6a-455e-957c-227475ead814 20148088-6b3f-49c9-939e-0fa7962b2fd4 8500a4e2-cb90-47fd-97b1-b66a0c5965ed 055af412-306c-4401-b17a-dcf79a4f92f8 f7b23a8b-7fc6-4fa4-a438-983ba435c227 f7ad687b-b6be-499a-b82d-aa165826f3b5 d0988520-fb8a-4880-87d8-c46a3ba97662 0286b4ea-b839-419d-be31-e99d77dd5f80 acb0d022-ccad-48d2-8f4d-525ba623846a 2c6b6b16-562b-472f-be31-094ce887a23b 32088864-4583-4634-b82b-7298f7d02c2e 5e9b3ce0-f07a-4a9e-9888-66dff7ee1c02 3b90f506-03a7-4845-877e-09ac198232f8 bfc4389d-003e-477a-a96e-9be97a11a1fc 35ed44d6-8925-43ec-b848-693e0c903684 34 52a04e9a-85a3-4987-ab51-7e487a23a5a9 Group afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true ef5e3814-b9a9-4374-b436-0edd16a18fc8 Explode Explode 6218 -3562 136 44 6285 -3540 Curve to explode 31b3a35e-c190-4ca2-8ac1-9c6b29cb6718 Curve Curve false 25ee6593-8965-46f1-aa54-6a03b97084dc 1 6220 -3560 50 20 6246.5 -3550 Recursive decomposition until all segments are atomic b08f80d6-e16a-4210-abbb-387892cbffe3 Recursive Recursive false 0 6220 -3540 50 20 6246.5 -3530 1 1 {0} true 1 Exploded segments that make up the base curve df5d6004-7af4-464a-939c-d28c3e52cdfc Segments Segments false 0 6300 -3560 52 20 6327.5 -3550 1 Vertices of the exploded segments 8fc616c5-a0a2-41f1-b4bd-61bb4d84a2e8 Vertices Vertices false 0 6300 -3540 52 20 6327.5 -3530 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true c5bba97e-c446-4dac-9187-9677477309d4 Evaluate Length Evaluate Length 6214 -3645 144 64 6288 -3613 Curve to evaluate 0701b32b-af2f-42dc-a47e-f19903ce540a Curve Curve false df5d6004-7af4-464a-939c-d28c3e52cdfc 1 6216 -3643 57 20 6246 -3633 Length factor for curve evaluation 1d75c069-4cff-4728-b205-0e48c2e7e2f4 Length Length false 0 6216 -3623 57 20 6246 -3613 1 1 {0} 0.5 If True, the Length factor is normalized (0.0 ~ 1.0) 8018f872-902e-4669-933e-d7e3d4d68f32 Normalized Normalized false 0 6216 -3603 57 20 6246 -3593 1 1 {0} true Point at the specified length bd7cc0e2-7be1-493e-a263-c309b0a36189 Point Point false 0 6303 -3643 53 20 6331 -3633 Tangent vector at the specified length 587e10c3-9148-49d8-9d27-7a27daf48356 Tangent Tangent false 0 6303 -3623 53 20 6331 -3613 Curve parameter at the specified length 77be7ccc-4925-47e5-9ad1-01373cfcc5e8 Parameter Parameter false 0 6303 -3603 53 20 6331 -3593 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} b1b24cb8-e658-4655-9723-cd29cc7123e2 true Line SDL Line SDL 6225 -5278 122 64 6305 -5246 Line start point a38d9fee-14f8-4387-b85d-b4dcdfdc38dc true Start Start false bd7cc0e2-7be1-493e-a263-c309b0a36189 1 6227 -5276 63 20 6268 -5266 Line tangent (direction) 9d385207-16a7-42a0-82f2-5da31361a497 true Direction Direction false 582371bd-a3e4-48f4-85d7-cb9421b205a3 1 6227 -5256 63 20 6268 -5246 1 1 {0} 0 0 1 Line length c3ee8661-d494-466b-8fee-e0d288645bbc ABS(X) true Length Length false 603951a7-9959-4d33-b43f-c51a750de99e 1 6227 -5236 63 20 6268 -5226 1 1 {0} 0.015625 Line segment c3e25048-10c2-4409-a8fd-fd88063c3a38 true Line Line false 0 6320 -5276 25 60 6334 -5246 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data 699adb97-e0c1-46d0-a5db-3042de93a077 Relative Differences Relative Differences 6222 -3988 128 28 6275 -3974 1 List of data to operate on (numbers or points or vectors allowed) 7e1fc210-19ea-42a3-b1d3-0a888a6ccf5b Values Values false ea2abc8e-191a-4c63-98cd-05a4b42891cb 1 6224 -3986 36 24 6243.5 -3974 1 Differences between consecutive items 1722116a-ddb0-4475-a813-8a5cf1a9cfd0 Differenced Differenced false 0 6290 -3986 58 24 6320.5 -3974 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 6ae00ebb-d07a-41b6-9306-47e4785da946 Replace Nulls Replace Nulls 6218 -3932 136 44 6304 -3910 1 Items to test for null 511e78d1-bb93-41bc-a244-dbab2084781c Items Items false 956c5521-ba7c-42b2-bb00-714f770479e2 1 6220 -3930 69 20 6256 -3920 1 Items to replace nulls with 25b27191-5c41-4420-bcd1-1311922abce8 Replacements Replacements false 0 6220 -3910 69 20 6256 -3900 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls ea2abc8e-191a-4c63-98cd-05a4b42891cb Items Items false 0 6319 -3930 33 20 6337 -3920 Number of items replaced 44bef9e6-0df1-400d-b869-64d50d0a5183 Count Count false 0 6319 -3910 33 20 6337 -3900 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. abc51553-3f83-4762-bd5c-565aa883513f List Length List Length 6240 -4037 93 28 6279 -4023 1 Base list a99009ea-e0c4-4313-bd2c-9fa15b25e519 List List false 1722116a-ddb0-4475-a813-8a5cf1a9cfd0 1 6242 -4035 22 24 6254.5 -4023 Number of items in L b63b58f9-c336-4d84-8fa5-0f6607e7730c Length Length false 0 6294 -4035 37 24 6314 -4023 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. ffcb60d2-d38c-4a64-981c-194c1190e305 List Item List Item 6249 -4200 74 64 6297 -4168 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list 29b23bcf-b149-4011-9baf-657d2be8b941 List List false 1722116a-ddb0-4475-a813-8a5cf1a9cfd0 1 6251 -4198 31 20 6268 -4188 Item index b96338df-145a-4dea-bcc9-8f48f58a62de Index Index false 56a2ff50-ca57-455f-ac86-58924a1b56f6 1 6251 -4178 31 20 6268 -4168 1 1 {0} 0 Wrap index to list bounds 1aa93e15-db85-4da4-8018-cea5f305a658 Wrap Wrap false 0 6251 -4158 31 20 6268 -4148 1 1 {0} false Item at {i'} f7ebfbcf-f339-48c7-8591-4c2cbb7b6a4b false Item i false 0 6312 -4198 9 60 6318 -4168 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. 63114c88-a4c1-4e64-9ddf-01d82a477cc6 Series Series 6228 -4118 117 64 6294 -4086 First number in the series 7a05db1f-9668-4d4f-8702-e712f2073f80 Start Start false 0 6230 -4116 49 20 6264 -4106 1 1 {0} 1 Step size for each successive number aae00680-dbf8-48ca-bd59-c09c10a25ada Step Step false 0 6230 -4096 49 20 6264 -4086 1 1 {0} 1 Number of values in the series 108e172c-e13e-40a6-9fb0-f8a0ec3b49d4 X-1 Count Count false b63b58f9-c336-4d84-8fa5-0f6607e7730c 1 6230 -4076 49 20 6264 -4066 1 1 {0} 10 1 Series of numbers 56a2ff50-ca57-455f-ac86-58924a1b56f6 Series Series false 0 6309 -4116 34 60 6327.5 -4086 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 956c5521-ba7c-42b2-bb00-714f770479e2 Relay false 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 1 6266 -3869 40 16 6286 -3861 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object e6c3b639-be98-4559-b61b-0cb8773ea56a Relay false f7ebfbcf-f339-48c7-8591-4c2cbb7b6a4b 1 6266 -4233 40 16 6286 -4225 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 699adb97-e0c1-46d0-a5db-3042de93a077 6ae00ebb-d07a-41b6-9306-47e4785da946 abc51553-3f83-4762-bd5c-565aa883513f ffcb60d2-d38c-4a64-981c-194c1190e305 63114c88-a4c1-4e64-9ddf-01d82a477cc6 956c5521-ba7c-42b2-bb00-714f770479e2 e6c3b639-be98-4559-b61b-0cb8773ea56a 7 2d3b184c-35a3-43c3-8f7f-6d3b2cd69e79 Group 2dc44b22-b1dd-460a-a704-6462d6e91096 Curve Closest Point Find the closest point on a curve. true 3756038b-9485-46ff-9e54-1c5b05c53d48 Curve Closest Point Curve Closest Point 6226 -3733 120 64 6276 -3701 Point to project onto curve 6b0cfb20-3c42-472c-a79b-c5d8b0024985 Point Point false bd7cc0e2-7be1-493e-a263-c309b0a36189 1 6228 -3731 33 30 6246 -3716 Curve to project onto a6d798e5-1d47-46a8-b585-246816e17107 Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6228 -3701 33 30 6246 -3686 Point on the curve closest to the base point ed3f3fd7-170a-4382-b54f-5ebfecb83aa2 Point Point false 0 6291 -3731 53 20 6319 -3721 Parameter on curve domain of closest point 4f778121-d215-4a69-9b37-35647c292ee1 Parameter Parameter false 0 6291 -3711 53 20 6319 -3701 Distance between base point and curve d750856d-7282-44e1-bd41-c4bf401070ae Distance Distance false 0 6291 -3691 53 20 6319 -3681 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true c975ec9d-820a-4177-9a75-2d1d4dc1b212 Line Line 6229 -3812 114 44 6301 -3790 Line start point 32356b81-9f0a-4aa7-827d-19212171ad60 Start Point Start Point false ed3f3fd7-170a-4382-b54f-5ebfecb83aa2 1 6231 -3810 55 20 6260 -3800 Line end point b248e6d5-4f0f-4a22-8666-f0cfcfff7129 End Point End Point false bd7cc0e2-7be1-493e-a263-c309b0a36189 1 6231 -3790 55 20 6260 -3780 Line segment 582371bd-a3e4-48f4-85d7-cb9421b205a3 Line Line false 0 6316 -3810 25 40 6330 -3790 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 5a5464fa-3d17-494f-8862-90fa7e27589e Remap Numbers Remap Numbers 6229 -4976 115 64 6284 -4944 Value to remap 8f805d90-52ee-4b25-9f75-9e096bc6bf80 Value Value false 7feeee32-a675-419d-b2fd-3fa0408805d2 1 6231 -4974 38 20 6251.5 -4964 Source domain 6473836c-b8d2-4a03-b219-724652692b0f Source Source false 88628cee-6413-4d8d-a212-c3eaa9b2bd2a 1 6231 -4954 38 20 6251.5 -4944 1 1 {0} 0 1 Target domain 7f5fa7b1-13b4-4fa5-85ad-1b340fa9e387 Target Target false 0 6231 -4934 38 20 6251.5 -4924 1 1 {0} -1 1 Remapped number 7dd6f529-a56a-4fcc-b52a-939a3446cc04 Mapped Mapped false 0 6299 -4974 43 30 6322 -4959 Remapped and clipped number c62fe18e-9ab7-4d98-8fd4-b767b7fd7b97 Clipped Clipped false 0 6299 -4944 43 30 6322 -4929 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 4f49e8e6-1f9f-4dc1-bda3-6c01c1d84db8 Bounds Bounds 6225 -4894 122 28 6289 -4880 1 Numbers to include in Bounds 4c70656d-57d9-4b26-a0b6-28107923b014 Numbers Numbers false 7feeee32-a675-419d-b2fd-3fa0408805d2 1 6227 -4892 47 24 6252 -4880 Numeric Domain between the lowest and highest numbers in {N} 88628cee-6413-4d8d-a212-c3eaa9b2bd2a Domain Domain false 0 6304 -4892 41 24 6326 -4880 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7feeee32-a675-419d-b2fd-3fa0408805d2 Relay false e6c3b639-be98-4559-b61b-0cb8773ea56a 1 6266 -4847 40 16 6286 -4839 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true c89dfe1f-7531-459c-be54-2487092cf8df Multiplication Multiplication 6245 -5175 82 44 6276 -5153 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 1874d8cf-7d98-4b83-addf-27a5df51b48a A A true 4228b3fc-e086-4782-a246-5c136c8a0826 1 6247 -5173 14 20 6255.5 -5163 Second item for multiplication 32f61d28-dcc7-4c77-b634-999ac80bc12e B B true aef06ed1-be6a-455e-957c-227475ead814 1 6247 -5153 14 20 6255.5 -5143 Result of multiplication 603951a7-9959-4d33-b43f-c51a750de99e Result Result false 0 6291 -5173 34 40 6309.5 -5153 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true ec4b8638-1bc3-4217-8636-f210c2330ef9 Multiplication Multiplication 6245 -5068 82 44 6276 -5046 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication f00c927a-0818-494d-a72d-cd4199f13cbe A A true 8b579e21-5bcb-49c4-9c7a-3964f410a65f 1 6247 -5066 14 20 6255.5 -5056 Second item for multiplication ba746f1f-6ecf-4934-8887-c7cc678e9585 B B true 7dd6f529-a56a-4fcc-b52a-939a3446cc04 1 6247 -5046 14 20 6255.5 -5036 Result of multiplication 4228b3fc-e086-4782-a246-5c136c8a0826 Result Result false 0 6291 -5066 34 40 6309.5 -5046 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 8b579e21-5bcb-49c4-9c7a-3964f410a65f Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 -5003 40 16 6286 -4995 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers aef06ed1-be6a-455e-957c-227475ead814 Digit Scroller false 0 12 1 0.25000000000 6161 -5106 250 20 6161.524 -5105.492 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5a5464fa-3d17-494f-8862-90fa7e27589e 4f49e8e6-1f9f-4dc1-bda3-6c01c1d84db8 7feeee32-a675-419d-b2fd-3fa0408805d2 c89dfe1f-7531-459c-be54-2487092cf8df ec4b8638-1bc3-4217-8636-f210c2330ef9 8b579e21-5bcb-49c4-9c7a-3964f410a65f aef06ed1-be6a-455e-957c-227475ead814 7 20148088-6b3f-49c9-939e-0fa7962b2fd4 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ef5e3814-b9a9-4374-b436-0edd16a18fc8 c5bba97e-c446-4dac-9187-9677477309d4 3756038b-9485-46ff-9e54-1c5b05c53d48 c975ec9d-820a-4177-9a75-2d1d4dc1b212 4 8500a4e2-cb90-47fd-97b1-b66a0c5965ed Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 055af412-306c-4401-b17a-dcf79a4f92f8 true Expression Expression 6189 -4333 194 28 6289 -4319 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7b1e8ef6-c5ee-403f-ad88-16e9036f420a true Variable O O true d0988520-fb8a-4880-87d8-c46a3ba97662 1 6191 -4331 14 24 6199.5 -4319 Result of expression 47e748c3-3345-402b-9a91-3f36146a071c true Result false 0 6372 -4331 9 24 6378 -4319 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values f7b23a8b-7fc6-4fa4-a438-983ba435c227 Panel false 1 47e748c3-3345-402b-9a91-3f36146a071c 1 Double click to edit panel content… 6194 -4605 185 271 0 0 0 6194.124 -4604.601 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object f7ad687b-b6be-499a-b82d-aa165826f3b5 Relay false f7b23a8b-7fc6-4fa4-a438-983ba435c227 1 6266 -4642 40 16 6286 -4634 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d0988520-fb8a-4880-87d8-c46a3ba97662 Relay false e6c3b639-be98-4559-b61b-0cb8773ea56a 1 6266 -4286 40 16 6286 -4278 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 055af412-306c-4401-b17a-dcf79a4f92f8 f7b23a8b-7fc6-4fa4-a438-983ba435c227 f7ad687b-b6be-499a-b82d-aa165826f3b5 d0988520-fb8a-4880-87d8-c46a3ba97662 4 0286b4ea-b839-419d-be31-e99d77dd5f80 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true acb0d022-ccad-48d2-8f4d-525ba623846a Create Material Create Material 6214 -5404 144 104 6298 -5352 Colour of the diffuse channel 88c131f3-893a-4058-b1e8-340dac20e020 Diffuse Diffuse false 0 6216 -5402 67 20 6251 -5392 1 1 {0} 255;217;217;217 Colour of the specular highlight 628e17fb-ff06-4def-9a1c-a8dbdcff4ea4 Specular Specular false 0 6216 -5382 67 20 6251 -5372 1 1 {0} 255;0;255;255 Emissive colour of the material 89b340d3-0c3c-40b9-9399-4119a7eda41b Emission Emission false 0 6216 -5362 67 20 6251 -5352 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 16d9625b-f22b-42eb-8418-fdcf6c0c9ecf Transparency Transparency false 0 6216 -5342 67 20 6251 -5332 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 3128d6e1-de73-4d10-a72f-11dc901278d3 Shine Shine false 0 6216 -5322 67 20 6251 -5312 1 1 {0} 100 Resulting material 7a39c583-353d-4716-ae4d-8460e2730a7d Material Material false 0 6313 -5402 43 100 6336 -5352 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 2c6b6b16-562b-472f-be31-094ce887a23b Custom Preview Custom Preview 6245 -5475 82 44 6313 -5453 Geometry to preview true c95a260d-1ea3-41a6-a781-7be862af3855 Geometry Geometry false c3e25048-10c2-4409-a8fd-fd88063c3a38 1 6247 -5473 51 20 6274 -5463 The material override e69574d4-9c41-48d0-b1bc-59539d46f34c Material Material false 7a39c583-353d-4716-ae4d-8460e2730a7d 1 6247 -5453 51 20 6274 -5443 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 32088864-4583-4634-b82b-7298f7d02c2e Evaluate Length Evaluate Length 6214 -5563 144 64 6288 -5531 Curve to evaluate d91863bc-b4ae-47e4-8651-7afb890e0408 Curve Curve false c3e25048-10c2-4409-a8fd-fd88063c3a38 1 6216 -5561 57 20 6246 -5551 Length factor for curve evaluation 7849549e-7552-4627-8ecf-003d5a58d2b9 Length Length false 0 6216 -5541 57 20 6246 -5531 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 9616d789-5606-4c4e-876b-3043c3e5d066 Normalized Normalized false 0 6216 -5521 57 20 6246 -5511 1 1 {0} true Point at the specified length 8126a183-e4df-4b20-a6e8-c52b71df4230 Point Point false 0 6303 -5561 53 20 6331 -5551 Tangent vector at the specified length fc1bed4d-c464-425e-9cc1-158e11c2f37c Tangent Tangent false 0 6303 -5541 53 20 6331 -5531 Curve parameter at the specified length 7c4f6130-57bb-4111-8df2-2b2260750801 Parameter Parameter false 0 6303 -5521 53 20 6331 -5511 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. 5e9b3ce0-f07a-4a9e-9888-66dff7ee1c02 Interpolate Interpolate 6224 -5668 125 84 6291 -5626 1 Interpolation points ae4fe3df-87cc-4b2b-a609-682479d11bc1 Vertices Vertices false 8126a183-e4df-4b20-a6e8-c52b71df4230 1 6226 -5666 50 20 6252.5 -5656 Curve degree 3726f23c-2524-4300-b04e-a876d1b5917e Degree Degree false 0 6226 -5646 50 20 6252.5 -5636 1 1 {0} 1 Periodic curve 91b09e93-3db1-453c-a7ab-85af27a7de44 Periodic Periodic false 0 6226 -5626 50 20 6252.5 -5616 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 4795b47d-6054-4761-a02a-efc89890c034 KnotStyle KnotStyle false 0 6226 -5606 50 20 6252.5 -5596 1 1 {0} 2 Resulting nurbs curve 2d4c983e-934e-44a0-b2e7-29a129a8ab4a Curve Curve false 0 6306 -5666 41 26 6328 -5652.667 Curve length 1a5f5aff-f4bc-4710-8a58-f1eff04fb041 Length Length false 0 6306 -5640 41 27 6328 -5626 Curve domain dc9ad2fc-417a-4a9d-bd7f-0a9ab76a64f9 Domain Domain false 0 6306 -5613 41 27 6328 -5599.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 3b90f506-03a7-4845-877e-09ac198232f8 Create Material Create Material 6214 -5795 144 104 6298 -5743 Colour of the diffuse channel d6416146-56fa-4859-a97d-036474b70948 Diffuse Diffuse false 0 6216 -5793 67 20 6251 -5783 1 1 {0} 255;191;191;191 Colour of the specular highlight 3be21f91-257b-4ddd-809e-b97c59a1e0c6 Specular Specular false 0 6216 -5773 67 20 6251 -5763 1 1 {0} 255;0;255;255 Emissive colour of the material afcc7737-fe73-4a8f-8029-240e0f4cf618 Emission Emission false 0 6216 -5753 67 20 6251 -5743 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent dd2e017e-2211-409f-bfb2-5f7b923e6493 Transparency Transparency false 0 6216 -5733 67 20 6251 -5723 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 8ca0d278-4899-4f7f-884f-b3186faa0d9a Shine Shine false 0 6216 -5713 67 20 6251 -5703 1 1 {0} 100 Resulting material 2de0e8af-afec-4bf0-823e-b2dafff3bdb0 Material Material false 0 6313 -5793 43 100 6336 -5743 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true bfc4389d-003e-477a-a96e-9be97a11a1fc Custom Preview Custom Preview 6245 -5861 82 44 6313 -5839 Geometry to preview true f12f27a4-d002-4edc-9e54-81dfcdc4c1a8 Geometry Geometry false 2d4c983e-934e-44a0-b2e7-29a129a8ab4a 1 6247 -5859 51 20 6274 -5849 The material override 3bb5abc7-cf54-4471-8066-2d41bfb8fb34 Material Material false 2de0e8af-afec-4bf0-823e-b2dafff3bdb0 1 6247 -5839 51 20 6274 -5829 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 35ed44d6-8925-43ec-b848-693e0c903684 Quick Graph Quick Graph false 0 d0988520-fb8a-4880-87d8-c46a3ba97662 1 6211 -4802 150 150 6211.943 -4801.123 -1 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1308241c-2962-4068-b566-45d7d1464862 a8fea270-471c-48e4-bdd4-7623c0e7cd42 958ac6d9-9913-4b81-897f-75ffbe9ab989 961c1ebb-49c2-4cbf-8cf2-32ac040219cc 80204c84-5344-43cd-b21f-4e8ddcef35db 4c3c72c8-12c1-4fd5-9fcf-a2eb1519b85c e9ae8160-d2b3-44ef-86e8-dd7f08b43044 1c4524a2-fe06-4646-bca0-dce0e628bf7e 3070e8c3-c6af-485c-9762-12920d5be194 cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd 7df2a155-f92e-4032-9402-a3de64aebbed cd8b1129-dc7f-420f-9cbb-ca08c2aad9a0 9bdde40e-728f-47b3-87a1-6736a31081f9 aa56f46c-6f3e-4690-bac9-0ddeb1330f60 07cdd545-012e-4fbe-9f4c-fdff07d4aacf 0231341d-45bf-409c-87e1-3076fc8e8826 f2dce42c-83e7-4b56-80a3-e4a43e6e07d4 4ed94f9b-7e1c-4a70-8b7f-8419ec37c771 2b198d70-8c2a-4c53-9a11-b9dc1217547c aca04aaa-78fa-48f3-a017-3850af00a290 9d3e4b58-71a4-413c-a6f3-0d2b9c1d2fec 171063ec-5237-4ea7-8591-b19e096a9321 e33e647d-9450-4046-b896-0048f321a21a 8c900630-e962-42e6-9bcf-0396db8b5a73 36151706-575a-488b-ace2-509d87b1d1f9 386a47b3-046b-4527-91a4-493a35e36bf4 f5174c61-274d-43ca-9290-d9b4f776ef7e 2d00c750-9af3-4c5e-8b2d-7c57759944d9 b3f51329-faea-49ea-adcd-29cd86a36064 fc6efd46-427a-499f-a829-be384372c26f 04ffe3f4-78ff-42c3-a738-a29fdc273441 2f1b62c4-3c72-4efb-b6bc-6907b9b03362 9d31e7c3-a0f9-4c17-ab3b-70600093dee8 a19b0781-72c8-4017-9220-7ea910e98bea 34 a54b3cbc-f22d-4d12-a6d6-5266cc2328f4 Group afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true 1308241c-2962-4068-b566-45d7d1464862 Explode Explode 6218 -6101 136 44 6285 -6079 Curve to explode 84b66c15-2163-4bdf-8942-3a850ebbcbcb Curve Curve false 2d4c983e-934e-44a0-b2e7-29a129a8ab4a 1 6220 -6099 50 20 6246.5 -6089 Recursive decomposition until all segments are atomic 6f07b9d6-ff07-47d7-8c1e-c3c3fed99398 Recursive Recursive false 0 6220 -6079 50 20 6246.5 -6069 1 1 {0} true 1 Exploded segments that make up the base curve f070400f-56ab-4dff-92cb-7953269051bd Segments Segments false 0 6300 -6099 52 20 6327.5 -6089 1 Vertices of the exploded segments 10d8cd2f-9fe7-45ea-a324-767a775d866e Vertices Vertices false 0 6300 -6079 52 20 6327.5 -6069 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true a8fea270-471c-48e4-bdd4-7623c0e7cd42 Evaluate Length Evaluate Length 6214 -6184 144 64 6288 -6152 Curve to evaluate 17055edc-6681-4943-b2e8-8dcfd49c7734 Curve Curve false f070400f-56ab-4dff-92cb-7953269051bd 1 6216 -6182 57 20 6246 -6172 Length factor for curve evaluation a98a94ba-5288-4f47-a53c-9bc6eb320472 Length Length false 0 6216 -6162 57 20 6246 -6152 1 1 {0} 0.5 If True, the Length factor is normalized (0.0 ~ 1.0) 894300cd-14b4-4e01-a6fe-34cc46327189 Normalized Normalized false 0 6216 -6142 57 20 6246 -6132 1 1 {0} true Point at the specified length 87c2e57e-fdf9-4263-ac42-540d9ff33849 Point Point false 0 6303 -6182 53 20 6331 -6172 Tangent vector at the specified length 4fe1a3cf-c94a-4503-afd2-0c1c91b9b644 Tangent Tangent false 0 6303 -6162 53 20 6331 -6152 Curve parameter at the specified length d24a78ed-36fc-401a-adac-a3b3d6765bf8 Parameter Parameter false 0 6303 -6142 53 20 6331 -6132 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} 958ac6d9-9913-4b81-897f-75ffbe9ab989 Line SDL Line SDL 6225 -7817 122 64 6305 -7785 Line start point 9c203306-8b9f-44cd-8942-72cd1484e37e Start Start false 87c2e57e-fdf9-4263-ac42-540d9ff33849 1 6227 -7815 63 20 6268 -7805 Line tangent (direction) f2fd5222-af76-4b7d-be00-579a3c73a939 Direction Direction false fcf27be5-b427-45c1-b24f-cbf8135f7f97 1 6227 -7795 63 20 6268 -7785 1 1 {0} 0 0 1 Line length 2ea24c5c-ea15-4a02-ac05-5213e6b94487 ABS(X) Length Length false 87effdc3-1db3-44be-a60c-47c080041ccc 1 6227 -7775 63 20 6268 -7765 1 1 {0} 0.015625 Line segment 40b16fd8-48f8-4d60-821d-5065fdcfec6d Line Line false 0 6320 -7815 25 60 6334 -7785 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data 961c1ebb-49c2-4cbf-8cf2-32ac040219cc Relative Differences Relative Differences 6222 -6527 128 28 6275 -6513 1 List of data to operate on (numbers or points or vectors allowed) e396510a-9c1b-41fa-8a30-92dcb605c1b7 Values Values false 2dc315f1-937b-49c1-8440-26fcaa4e2613 1 6224 -6525 36 24 6243.5 -6513 1 Differences between consecutive items 8ed46bd9-dbfb-47b6-886d-e69c82c27480 Differenced Differenced false 0 6290 -6525 58 24 6320.5 -6513 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true 80204c84-5344-43cd-b21f-4e8ddcef35db Replace Nulls Replace Nulls 6218 -6471 136 44 6304 -6449 1 Items to test for null aa406f5c-7722-4339-bb20-764b0e9e67eb Items Items false 3070e8c3-c6af-485c-9762-12920d5be194 1 6220 -6469 69 20 6256 -6459 1 Items to replace nulls with da9a0618-63d2-47b5-8196-b50d7e9599b3 Replacements Replacements false 0 6220 -6449 69 20 6256 -6439 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls 2dc315f1-937b-49c1-8440-26fcaa4e2613 Items Items false 0 6319 -6469 33 20 6337 -6459 Number of items replaced f4905248-6e0a-406e-9bde-17fce7e324ca Count Count false 0 6319 -6449 33 20 6337 -6439 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. 4c3c72c8-12c1-4fd5-9fcf-a2eb1519b85c List Length List Length 6240 -6576 93 28 6279 -6562 1 Base list a20188e8-c005-4c13-87de-593229e8ee33 List List false 8ed46bd9-dbfb-47b6-886d-e69c82c27480 1 6242 -6574 22 24 6254.5 -6562 Number of items in L 1acd961a-3cff-4355-8cf9-8a4a379aceba Length Length false 0 6294 -6574 37 24 6314 -6562 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. e9ae8160-d2b3-44ef-86e8-dd7f08b43044 List Item List Item 6249 -6739 74 64 6297 -6707 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list ad213ae7-b71e-4039-a0d6-459b28da0125 List List false 8ed46bd9-dbfb-47b6-886d-e69c82c27480 1 6251 -6737 31 20 6268 -6727 Item index 76e8c08d-2fcd-4fb3-9fe2-37fe4031ebd3 Index Index false 10595e98-3151-4b9c-a11b-a6c0545e7005 1 6251 -6717 31 20 6268 -6707 1 1 {0} 0 Wrap index to list bounds 624287d8-7c98-4eed-b1a1-6d8388a5623b Wrap Wrap false 0 6251 -6697 31 20 6268 -6687 1 1 {0} false Item at {i'} 61241945-3657-40a8-9e15-c514dc213b14 false Item i false 0 6312 -6737 9 60 6318 -6707 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. 1c4524a2-fe06-4646-bca0-dce0e628bf7e Series Series 6228 -6657 117 64 6294 -6625 First number in the series da14d6ed-fdc7-4f8c-ace8-21f9ebf4dca5 Start Start false 0 6230 -6655 49 20 6264 -6645 1 1 {0} 1 Step size for each successive number 843aca86-f378-48f1-a0f9-83f2a2449e56 Step Step false 0 6230 -6635 49 20 6264 -6625 1 1 {0} 1 Number of values in the series baf6dd11-b467-40b4-b007-16b1285574bb X-1 Count Count false 1acd961a-3cff-4355-8cf9-8a4a379aceba 1 6230 -6615 49 20 6264 -6605 1 1 {0} 10 1 Series of numbers 10595e98-3151-4b9c-a11b-a6c0545e7005 Series Series false 0 6309 -6655 34 60 6327.5 -6625 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3070e8c3-c6af-485c-9762-12920d5be194 Relay false e6c3b639-be98-4559-b61b-0cb8773ea56a 1 6266 -6408 40 16 6286 -6400 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd Relay false 61241945-3657-40a8-9e15-c514dc213b14 1 6266 -6772 40 16 6286 -6764 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 961c1ebb-49c2-4cbf-8cf2-32ac040219cc 80204c84-5344-43cd-b21f-4e8ddcef35db 4c3c72c8-12c1-4fd5-9fcf-a2eb1519b85c e9ae8160-d2b3-44ef-86e8-dd7f08b43044 1c4524a2-fe06-4646-bca0-dce0e628bf7e 3070e8c3-c6af-485c-9762-12920d5be194 cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd 7 7df2a155-f92e-4032-9402-a3de64aebbed Group 2dc44b22-b1dd-460a-a704-6462d6e91096 Curve Closest Point Find the closest point on a curve. true cd8b1129-dc7f-420f-9cbb-ca08c2aad9a0 Curve Closest Point Curve Closest Point 6226 -6272 120 64 6276 -6240 Point to project onto curve 8c8e447e-c40a-406f-a912-0af9d9418158 Point Point false 87c2e57e-fdf9-4263-ac42-540d9ff33849 1 6228 -6270 33 30 6246 -6255 Curve to project onto b537d0fc-1b99-4cee-8f72-2e5ec93517fc Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6228 -6240 33 30 6246 -6225 Point on the curve closest to the base point 831efa09-2268-4b48-8fe9-85e41869626d Point Point false 0 6291 -6270 53 20 6319 -6260 Parameter on curve domain of closest point 58908568-231c-4f5a-a6fa-c73247c8394d Parameter Parameter false 0 6291 -6250 53 20 6319 -6240 Distance between base point and curve 077c9b67-e237-4348-a44d-58f3526da86d Distance Distance false 0 6291 -6230 53 20 6319 -6220 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true 9bdde40e-728f-47b3-87a1-6736a31081f9 Line Line 6229 -6351 114 44 6301 -6329 Line start point 8c01a364-354b-4123-bf8e-788ab7e9668d Start Point Start Point false 831efa09-2268-4b48-8fe9-85e41869626d 1 6231 -6349 55 20 6260 -6339 Line end point 5efbcafb-a8b1-40c9-b013-b98ca6404b11 End Point End Point false 87c2e57e-fdf9-4263-ac42-540d9ff33849 1 6231 -6329 55 20 6260 -6319 Line segment fcf27be5-b427-45c1-b24f-cbf8135f7f97 Line Line false 0 6316 -6349 25 40 6330 -6329 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true aa56f46c-6f3e-4690-bac9-0ddeb1330f60 Remap Numbers Remap Numbers 6229 -7515 115 64 6284 -7483 Value to remap a009a06f-b744-4641-ba39-6da744dd1786 Value Value false 0231341d-45bf-409c-87e1-3076fc8e8826 1 6231 -7513 38 20 6251.5 -7503 Source domain 51661fa8-76c5-4297-97bf-8f29aab2e0df Source Source false cf3276c6-3ff8-495e-a18b-a4cb62aa8de4 1 6231 -7493 38 20 6251.5 -7483 1 1 {0} 0 1 Target domain 36c42bd1-a6da-42bd-997c-a90c8e12ecc6 Target Target false 0 6231 -7473 38 20 6251.5 -7463 1 1 {0} -1 1 Remapped number 67317794-b31b-4918-b9c9-2d691c779c86 Mapped Mapped false 0 6299 -7513 43 30 6322 -7498 Remapped and clipped number ff60aaf9-df97-4f6d-a707-99d226930fff Clipped Clipped false 0 6299 -7483 43 30 6322 -7468 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 07cdd545-012e-4fbe-9f4c-fdff07d4aacf Bounds Bounds 6225 -7433 122 28 6289 -7419 1 Numbers to include in Bounds b43a60e6-0f51-4858-a517-0336714d6020 Numbers Numbers false 0231341d-45bf-409c-87e1-3076fc8e8826 1 6227 -7431 47 24 6252 -7419 Numeric Domain between the lowest and highest numbers in {N} cf3276c6-3ff8-495e-a18b-a4cb62aa8de4 Domain Domain false 0 6304 -7431 41 24 6326 -7419 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 0231341d-45bf-409c-87e1-3076fc8e8826 Relay false cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd 1 6266 -7386 40 16 6286 -7378 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true f2dce42c-83e7-4b56-80a3-e4a43e6e07d4 Multiplication Multiplication 6245 -7714 82 44 6276 -7692 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication bec89cf1-2842-4210-aad3-6cd6bcb1e28b A A true 52b7c6f1-d950-441f-8e93-4956fa73de0d 1 6247 -7712 14 20 6255.5 -7702 Second item for multiplication 21938a22-f620-42c1-acc9-b66acd85598d B B true aca04aaa-78fa-48f3-a017-3850af00a290 1 6247 -7692 14 20 6255.5 -7682 Result of multiplication 87effdc3-1db3-44be-a60c-47c080041ccc Result Result false 0 6291 -7712 34 40 6309.5 -7692 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 4ed94f9b-7e1c-4a70-8b7f-8419ec37c771 Multiplication Multiplication 6245 -7607 82 44 6276 -7585 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 09709c5b-c364-4326-9e31-4fd54c00a30b A A true 2b198d70-8c2a-4c53-9a11-b9dc1217547c 1 6247 -7605 14 20 6255.5 -7595 Second item for multiplication 30ed3759-f0cc-4b6c-a2c5-e4165e9733c4 B B true 67317794-b31b-4918-b9c9-2d691c779c86 1 6247 -7585 14 20 6255.5 -7575 Result of multiplication 52b7c6f1-d950-441f-8e93-4956fa73de0d Result Result false 0 6291 -7605 34 40 6309.5 -7585 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2b198d70-8c2a-4c53-9a11-b9dc1217547c Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 -7542 40 16 6286 -7534 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers aca04aaa-78fa-48f3-a017-3850af00a290 Digit Scroller false 0 12 2 50.0000000000 6162 -7645 250 20 6162.252 -7644.875 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects aa56f46c-6f3e-4690-bac9-0ddeb1330f60 07cdd545-012e-4fbe-9f4c-fdff07d4aacf 0231341d-45bf-409c-87e1-3076fc8e8826 f2dce42c-83e7-4b56-80a3-e4a43e6e07d4 4ed94f9b-7e1c-4a70-8b7f-8419ec37c771 2b198d70-8c2a-4c53-9a11-b9dc1217547c aca04aaa-78fa-48f3-a017-3850af00a290 7 9d3e4b58-71a4-413c-a6f3-0d2b9c1d2fec Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 1308241c-2962-4068-b566-45d7d1464862 a8fea270-471c-48e4-bdd4-7623c0e7cd42 cd8b1129-dc7f-420f-9cbb-ca08c2aad9a0 9bdde40e-728f-47b3-87a1-6736a31081f9 4 171063ec-5237-4ea7-8591-b19e096a9321 Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true e33e647d-9450-4046-b896-0048f321a21a true Expression Expression 6189 -6872 194 28 6289 -6858 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable ff9dfa1f-21c2-432c-a942-4b34609d3eb7 true Variable O O true 386a47b3-046b-4527-91a4-493a35e36bf4 1 6191 -6870 14 24 6199.5 -6858 Result of expression ceeb1113-33ff-40ec-9d7b-aa24cd58448f true Result false 0 6372 -6870 9 24 6378 -6858 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8c900630-e962-42e6-9bcf-0396db8b5a73 Panel false 1 ceeb1113-33ff-40ec-9d7b-aa24cd58448f 1 Double click to edit panel content… 6194 -7142 185 271 0 0 0 6194.771 -7141.563 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 36151706-575a-488b-ace2-509d87b1d1f9 Relay false 8c900630-e962-42e6-9bcf-0396db8b5a73 1 6266 -7181 40 16 6286 -7173 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 386a47b3-046b-4527-91a4-493a35e36bf4 Relay false cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd 1 6266 -6825 40 16 6286 -6817 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects e33e647d-9450-4046-b896-0048f321a21a 8c900630-e962-42e6-9bcf-0396db8b5a73 36151706-575a-488b-ace2-509d87b1d1f9 386a47b3-046b-4527-91a4-493a35e36bf4 4 f5174c61-274d-43ca-9290-d9b4f776ef7e Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 2d00c750-9af3-4c5e-8b2d-7c57759944d9 Create Material Create Material 6214 -7943 144 104 6298 -7891 Colour of the diffuse channel ca5440e2-1d83-4704-9141-7c3221461df3 Diffuse Diffuse false 0 6216 -7941 67 20 6251 -7931 1 1 {0} 255;209;209;209 Colour of the specular highlight de98cf8e-284e-447b-b163-2dcdde4b8add Specular Specular false 0 6216 -7921 67 20 6251 -7911 1 1 {0} 255;0;255;255 Emissive colour of the material d6daeb95-1a5f-4ac5-aa4e-12fc783ddc79 Emission Emission false 0 6216 -7901 67 20 6251 -7891 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 2cf4bcc8-ff91-4c20-9cc8-79f6767ce565 Transparency Transparency false 0 6216 -7881 67 20 6251 -7871 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 6014115b-e3e9-42b7-b7a5-03fac843e8f5 Shine Shine false 0 6216 -7861 67 20 6251 -7851 1 1 {0} 100 Resulting material 36056e93-9eb5-41a2-a254-71bf04f57616 Material Material false 0 6313 -7941 43 100 6336 -7891 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true b3f51329-faea-49ea-adcd-29cd86a36064 Custom Preview Custom Preview 6245 -8014 82 44 6313 -7992 Geometry to preview true bf73d6f1-f7d4-41ce-b643-9a8cdbde9cda Geometry Geometry false 40b16fd8-48f8-4d60-821d-5065fdcfec6d 1 6247 -8012 51 20 6274 -8002 The material override 4f5580cf-7a9c-40f1-9f0f-4b8fc2e5b6df Material Material false 36056e93-9eb5-41a2-a254-71bf04f57616 1 6247 -7992 51 20 6274 -7982 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true fc6efd46-427a-499f-a829-be384372c26f Evaluate Length Evaluate Length 6214 -8102 144 64 6288 -8070 Curve to evaluate f86a4022-b4f1-4fe0-95aa-53535936343b Curve Curve false 40b16fd8-48f8-4d60-821d-5065fdcfec6d 1 6216 -8100 57 20 6246 -8090 Length factor for curve evaluation 7331f110-8f4d-4e17-a4cf-247ae9608d72 Length Length false 0 6216 -8080 57 20 6246 -8070 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 8ce6724a-ade1-4233-9a81-208d70100e3b Normalized Normalized false 0 6216 -8060 57 20 6246 -8050 1 1 {0} true Point at the specified length 3cc46efa-2029-4b22-b262-271a97d8b4b7 Point Point false 0 6303 -8100 53 20 6331 -8090 Tangent vector at the specified length f6d5bae7-3bd4-42f7-aeba-5e2e9bb52c93 Tangent Tangent false 0 6303 -8080 53 20 6331 -8070 Curve parameter at the specified length 588c94c0-0234-4576-b7f7-9cc30987e635 Parameter Parameter false 0 6303 -8060 53 20 6331 -8050 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. 04ffe3f4-78ff-42c3-a738-a29fdc273441 Interpolate Interpolate 6224 -8207 125 84 6291 -8165 1 Interpolation points dab7c0d2-665d-4dcd-9e1a-c62fdf547617 Vertices Vertices false 3cc46efa-2029-4b22-b262-271a97d8b4b7 1 6226 -8205 50 20 6252.5 -8195 Curve degree c0675ebb-366d-4dab-a5ee-9398fa60ef9f Degree Degree false 0 6226 -8185 50 20 6252.5 -8175 1 1 {0} 1 Periodic curve 8b214947-ba42-4f22-8538-e7f135f7f9fb Periodic Periodic false 0 6226 -8165 50 20 6252.5 -8155 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 2aaa7a26-cc14-4ee1-a8cd-c9e22e6de68c KnotStyle KnotStyle false 0 6226 -8145 50 20 6252.5 -8135 1 1 {0} 2 Resulting nurbs curve 47bb6750-4689-4dee-a789-6addc1196d99 Curve Curve false 0 6306 -8205 41 26 6328 -8191.667 Curve length f55d29a9-5818-4cf4-bfc9-18c4725daf94 Length Length false 0 6306 -8179 41 27 6328 -8165 Curve domain fa717750-8b0d-4925-bb3e-6a96922cbe79 Domain Domain false 0 6306 -8152 41 27 6328 -8138.333 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 2f1b62c4-3c72-4efb-b6bc-6907b9b03362 Create Material Create Material 6214 -8334 144 104 6298 -8282 Colour of the diffuse channel 1b6e2c57-bd7f-4257-9909-84ce6122e77f Diffuse Diffuse false 0 6216 -8332 67 20 6251 -8322 1 1 {0} 255;184;184;184 Colour of the specular highlight 3a556404-917a-4d5d-88fe-0694ee1fff6a Specular Specular false 0 6216 -8312 67 20 6251 -8302 1 1 {0} 255;0;255;255 Emissive colour of the material b13f207f-69a0-4b6e-b052-65379edecbc5 Emission Emission false 0 6216 -8292 67 20 6251 -8282 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent ccc10db1-9fb1-4a0f-bbe1-2b3846a4f466 Transparency Transparency false 0 6216 -8272 67 20 6251 -8262 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 538fe4ae-0547-4b84-ae48-c38070db9dc7 Shine Shine false 0 6216 -8252 67 20 6251 -8242 1 1 {0} 100 Resulting material e9915b03-65e0-4474-8435-6dcd2f155350 Material Material false 0 6313 -8332 43 100 6336 -8282 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 9d31e7c3-a0f9-4c17-ab3b-70600093dee8 Custom Preview Custom Preview 6245 -8400 82 44 6313 -8378 Geometry to preview true 7cade903-c127-4855-a6fa-5db79b29e99a Geometry Geometry false 47bb6750-4689-4dee-a789-6addc1196d99 1 6247 -8398 51 20 6274 -8388 The material override 140b8192-b168-4d12-a549-929d261b4ab8 Material Material false e9915b03-65e0-4474-8435-6dcd2f155350 1 6247 -8378 51 20 6274 -8368 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph a19b0781-72c8-4017-9220-7ea910e98bea Quick Graph Quick Graph false 0 386a47b3-046b-4527-91a4-493a35e36bf4 1 6211 -7339 150 150 6211.591 -7338.085 -1 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 720b7ef5-fbd3-48d0-8025-e7492b3415ef Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 7328 7584 50 24 7353.14 7596.077 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 9e7ab47a-7f1e-448b-8882-17f60f8f6723 Deconstruct Deconstruct 7278 7161 148 64 7325 7193 Input point 10745400-38e4-4d99-9431-1bb9626dbb84 Point Point false b81176c2-3d33-4b8d-8686-95d439be7674 1 7280 7163 30 60 7296.5 7193 Point {x} component 7e1801a8-0ab9-484d-b375-9ebaccb36026 2 X component X component false 0 7340 7163 84 20 7375.5 7173 Point {y} component 2f2e7b45-94dd-4604-bd63-d1bbcb709ab7 2 Y component Y component false 0 7340 7183 84 20 7375.5 7193 Point {z} component 60eb8c97-35a0-4b6c-af4a-717168232886 Z component Z component false 0 7340 7203 84 20 7375.5 7213 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 Divide Curve Divide a curve into equal length segments true e76f8c93-560c-4e97-8c8a-227e39ecb1ce Divide Curve Divide Curve 7290 7496 125 64 7340 7528 Curve to divide 72e31a03-8a0a-4d3b-93e0-bbac23f024de Curve Curve false 720b7ef5-fbd3-48d0-8025-e7492b3415ef 1 7292 7498 33 20 7310 7508 Number of segments ab1ee790-45e3-4464-8cc6-5c21b4c31f19 Count Count false 6fb2498f-84c7-467d-b9a7-bd134fb584df 1 7292 7518 33 20 7310 7528 1 1 {0} 10 Split segments at kinks d0da16b2-bc0f-41f3-bd94-fcba6d3bc85f Kinks Kinks false 0 7292 7538 33 20 7310 7548 1 1 {0} false 1 Division points b81176c2-3d33-4b8d-8686-95d439be7674 Points Points false 0 7355 7498 58 20 7385.5 7508 1 Tangent vectors at division points d9e33f24-8c99-4039-b574-338ee183a50b Tangents Tangents false 0 7355 7518 58 20 7385.5 7528 1 Parameter values at division points 6aa03082-1247-4d15-966f-8082404943d9 Parameters Parameters false 0 7355 7538 58 20 7385.5 7548 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ff08f798-2378-46c0-bc9b-e6e1ec51ecb3 Panel false 1 032aa8dd-74a1-4650-af2e-64082858a6e4 1 Double click to edit panel content… 7267 6530 172 292 0 0 0 7267.057 6530.963 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b5262d2b-18d7-4e8f-b0e1-baf031a2d6c9 Panel false 1 94090c27-4166-49e3-ba19-94153b87d5ed 1 Double click to edit panel content… 6922 6530 172 292 0 0 0 6922.335 6530.227 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 2013e425-8713-42e2-a661-b57e78840337 Concatenate Concatenate some fragments of text true 2758f6ee-d584-41d5-8d8f-0433392faec8 Concatenate Concatenate 7306 6414 93 104 7332 6466 5 3ede854e-c753-40eb-84cb-b48008f14fd4 3ede854e-c753-40eb-84cb-b48008f14fd4 3ede854e-c753-40eb-84cb-b48008f14fd4 3ede854e-c753-40eb-84cb-b48008f14fd4 3ede854e-c753-40eb-84cb-b48008f14fd4 1 3ede854e-c753-40eb-84cb-b48008f14fd4 First text fragment 393d2d57-bd3e-480b-8493-4ba0c3247d06 Fragment A true b5262d2b-18d7-4e8f-b0e1-baf031a2d6c9 1 7308 6416 9 20 7314 6426 Second text fragment 47a98b51-366c-487a-9eec-e5331b143586 Fragment B true 230c16d8-9433-441f-85a5-9edfeab8583f 1 7308 6436 9 20 7314 6446 Third text fragment c44ddbdf-bccc-4bdc-a99a-40f6b9d52f22 Fragment A true ff08f798-2378-46c0-bc9b-e6e1ec51ecb3 1 7308 6456 9 20 7314 6466 Additional text fragment c5014cd3-55e9-4e8f-8d5e-39d436b73c5c Fragment A true 8b6600df-0a05-46f8-beab-8523131a78ad 1 7308 6476 9 20 7314 6486 Additional text fragment f4a65622-0959-4ea4-a869-83d0f995a4bf Fragment B true be577fe6-7f55-490c-b952-4f0b5b6edbc7 1 7308 6496 9 20 7314 6506 Resulting text consisting of all the fragments daf02cb4-e391-4362-9b4a-00162ca7a95e 1 Result Result false 0 7347 6416 50 100 7365.5 6466 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 68303754-b67c-4d15-9e18-ea72b69f4cb0 Panel false 1 daf02cb4-e391-4362-9b4a-00162ca7a95e 1 Double click to edit panel content… 7111 6119 483 292 0 0 0 7111.019 6119.875 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. true d6af4631-8d05-42db-bb10-b2f48a1f6f1c List Length List Length 7306 7022 93 28 7345 7036 1 Base list 80a19d54-fa26-4c16-9a02-352bbf27caa8 List List false b81176c2-3d33-4b8d-8686-95d439be7674 1 7308 7024 22 24 7320.5 7036 Number of items in L a2cb817d-5fcf-49e2-bdc8-78bb5d460cb9 Length Length false 0 7360 7024 37 24 7380 7036 dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 5c2a2265-4f7f-4aed-8a19-61a752409cd1 Duplicate Data Duplicate Data 7282 6939 140 64 7341 6971 1 Data to duplicate ead9114d-f7be-419c-a3e3-97008b877a2f Data Data false 0 7284 6941 42 20 7306.5 6951 1 1 {0} Grasshopper.Kernel.Types.GH_String false , Number of duplicates 96fe369b-d71c-4cf9-8d5b-0c8e1d4e5840 Number Number false a2cb817d-5fcf-49e2-bdc8-78bb5d460cb9 1 7284 6961 42 20 7306.5 6971 1 1 {0} 2 Retain list order 13ed6aee-4aad-44ef-9c00-9e52ed2760c2 Order Order false 0 7284 6981 42 20 7306.5 6991 1 1 {0} true 1 Duplicated data 718f51ff-f52b-4370-9fe5-616bca6dcdf3 2 Data Data false true 0 7356 6941 64 60 7371.5 6971 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",X) true 3c1860bc-efcf-42cd-9195-917fb8c8596c Expression Expression 7235 7115 235 28 7335 7129 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 7c6d27c0-4e35-450f-9b24-925bbe1f83d2 Variable X X true 7e1801a8-0ab9-484d-b375-9ebaccb36026 1 7237 7117 14 24 7245.5 7129 Result of expression 94090c27-4166-49e3-ba19-94153b87d5ed Result Result false true 0 7418 7117 50 24 7436.5 7129 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",Y) true f74792b6-4e0d-4631-9435-7c415d416f39 Expression Expression 7235 6892 234 28 7334 6906 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable be8b86ec-17b1-4201-afe7-2d55f5512b1f Variable Y Y true 2f2e7b45-94dd-4604-bd63-d1bbcb709ab7 1 7237 6894 13 24 7245 6906 Result of expression 032aa8dd-74a1-4650-af2e-64082858a6e4 Result Result false true 0 7417 6894 50 24 7435.5 6906 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 230c16d8-9433-441f-85a5-9edfeab8583f Panel false 1 718f51ff-f52b-4370-9fe5-616bca6dcdf3 1 Double click to edit panel content… 7094 6530 172 292 0 0 0 7094.854 6530.016 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 3 255;255;255;255 A group of Grasshopper objects 720b7ef5-fbd3-48d0-8025-e7492b3415ef d8eea3ec-5157-4ac0-92dd-492058fad237 59c8374e-36a2-40df-af0f-1946fb9c4c2e 6a58cb78-3aa0-4c67-9585-8364f6f684f5 2aafa1cf-f50a-4433-9467-6e2ba9b0a462 2ac06252-6a62-48fb-9825-5298bdbe9536 30aa3e57-dd88-4f54-ad69-4b2473594537 3662d19c-7316-4361-b4a3-db2bbd218382 b60eeacc-25e7-4f56-826d-40476555687d 71a4b562-3bee-43d5-9fb6-1c99bc3cd4cb ee5295ed-8446-4093-9cff-155530db048a 10338e33-43fc-4848-9f86-5e4608e349ae 5c73a0f5-f091-4315-897f-65bd97a0d6aa 9e7ab47a-7f1e-448b-8882-17f60f8f6723 e76f8c93-560c-4e97-8c8a-227e39ecb1ce ff08f798-2378-46c0-bc9b-e6e1ec51ecb3 b5262d2b-18d7-4e8f-b0e1-baf031a2d6c9 2758f6ee-d584-41d5-8d8f-0433392faec8 68303754-b67c-4d15-9e18-ea72b69f4cb0 d6af4631-8d05-42db-bb10-b2f48a1f6f1c 5c2a2265-4f7f-4aed-8a19-61a752409cd1 3c1860bc-efcf-42cd-9195-917fb8c8596c f74792b6-4e0d-4631-9435-7c415d416f39 230c16d8-9433-441f-85a5-9edfeab8583f 4d7e5df9-f39c-4128-9da9-e404693498d0 dad66ae8-795d-4c6e-b667-bd160935f854 0fe16770-ae9e-44e4-8108-1937a371d1ef 6fb2498f-84c7-467d-b9a7-bd134fb584df e27eeebf-1aa5-4a09-8dc1-2e334cd67054 d0c062fe-01d9-4d03-ba12-3a737be9b519 40d60513-415a-4898-aba7-c6061f0579eb 4082beaa-6ef9-4a07-bb54-4d21225e1230 8b6600df-0a05-46f8-beab-8523131a78ad be577fe6-7f55-490c-b952-4f0b5b6edbc7 f5dab157-8362-4091-9045-40c4f26e0cdc bc34d7f6-2984-476e-8869-3befe5696059 36 5f6713ec-1ddf-457f-a0f7-21cf80f8bcde Group 079bd9bd-54a0-41d4-98af-db999015f63d VB Script A VB.NET scriptable component true 4d7e5df9-f39c-4128-9da9-e404693498d0 VB Script TxtWriter true 0 If activate Then Dim i As Integer Dim aryText(4) As String aryText(0) = "Mary WriteLine" aryText(1) = "Had" aryText(2) = "Another" aryText(3) = "Little" aryText(4) = "One" ' the data is appended to the file. If file doesnt exist, a new file is created Dim objWriter As New System.IO.StreamWriter(filePath, append) For i = 0 To data.Count - 1 objWriter.WriteLine(data(i)) Next objWriter.Close() End If If clearFile Then Dim objWriter As New System.IO.StreamWriter(filePath, False) objWriter.Close() End If 7295 5951 115 104 7371 6003 5 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 2 3ede854e-c753-40eb-84cb-b48008f14fd4 8ec86459-bf01-4409-baee-174d0d2b13d0 true Script Variable filePath ba41d6ef-53b9-4d48-98af-0c65f00276ed filePath filePath true 0 true dad66ae8-795d-4c6e-b667-bd160935f854 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 7297 5953 59 20 7336 5963 1 true Script Variable data b12058b0-348c-4351-80dc-0e7adb912338 1 data data true 1 true 68303754-b67c-4d15-9e18-ea72b69f4cb0 1 abf1fd1b-dbe5-4be6-9832-d8dc105e207f 7297 5973 59 20 7336 5983 true Script Variable append 6a6789a1-cade-46db-b53a-0c0d45f99617 append append true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 7297 5993 59 20 7336 6003 true Script Variable activate 305bb8eb-3838-4a79-99c7-8cdb2670681b activate activate true 0 true 0fe16770-ae9e-44e4-8108-1937a371d1ef 1 3cda2745-22ac-4244-9b04-97a5255fa60f 7297 6013 59 20 7336 6023 true Script Variable clearFile 1e497f8f-9488-4905-9482-88aa9a8d70fc clearFile clearFile true 0 true 0 3cda2745-22ac-4244-9b04-97a5255fa60f 7297 6033 59 20 7336 6043 Print, Reflect and Error streams 3d0fb621-53b2-4d43-b25f-8bd6a8ffe313 out out false 0 7386 5953 22 50 7398.5 5978 Output parameter A 308a7b73-79c1-4b73-9a21-cbef25cd8545 A A false 0 7386 6003 22 50 7398.5 6028 06953bda-1d37-4d58-9b38-4b3c74e54c8f File Path Contains a collection of file paths false All files|*.* dad66ae8-795d-4c6e-b667-bd160935f854 File Path File Path false 0 7327 6076 50 24 7352.856 6088.706 1 1 {0} false C:\VSC.O____STNEMGES_652____ERUTAWRUC_RAENIL_DEPAM_EMIT_1_HTOMS_LEVEL_2_DIOMGIS_LAMINIM_NOITISNART_EGDE_LUF____O____FUL_EDGE_TRANSITION_MINIMAL_SIGMOID_2_LEVEL_SMOTH_1_TIME_MAPED_LINEAR_CURWATURE____256_SEGMENTS____O.CSV a8b97322-2d53-47cd-905e-b932c3ccd74e Button Button object with two values False True 0fe16770-ae9e-44e4-8108-1937a371d1ef Button false 0 7316 5907 66 22 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 6fb2498f-84c7-467d-b9a7-bd134fb584df Number Number false 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 1 7328 7633 50 24 7353.148 7645.271 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",ROUND(X, 15)) true e27eeebf-1aa5-4a09-8dc1-2e334cd67054 Expression Expression 7189 7068 326 28 7334 7082 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable a30a9bf8-1cc3-435b-8d61-f8429ff8f525 Variable X X true 7e1801a8-0ab9-484d-b375-9ebaccb36026 1 7191 7070 14 24 7199.5 7082 Result of expression 66185648-85a4-4a54-abe5-cea3ee383b02 Result Result false true 0 7463 7070 50 24 7481.5 7082 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",ROUND(Y, 15)) true d0c062fe-01d9-4d03-ba12-3a737be9b519 Expression Expression 7190 6840 325 28 7334 6854 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable c5f7ec2b-ab31-4041-b9e1-c62afe835ab8 Variable Y Y true 2f2e7b45-94dd-4604-bd63-d1bbcb709ab7 1 7192 6842 13 24 7200 6854 Result of expression b51856a0-549a-42b1-ba97-f66caf6262ad Result Result false true 0 7463 6842 50 24 7481.5 6854 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 6ecba30c-40c0-463a-9060-e2c2fbd5edb3 Curve Curve false 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 1 4128 7795 50 24 4153.533 7807.735 aaa665bd-fd6e-4ccb-8d2c-c5b33072125d Curvature Evaluate the curvature of a curve at a specified parameter. true 40d60513-415a-4898-aba7-c6061f0579eb Curvature Curvature 7284 7414 137 64 7354 7446 Curve to evaluate b42ddbf5-f18b-49d7-8b9a-69a62a55d0eb Curve Curve false 720b7ef5-fbd3-48d0-8025-e7492b3415ef 1 7286 7416 53 30 7314 7431 Parameter on curve domain to evaluate 42f02b98-9e98-46a9-ae9e-7278a1b64e7a Parameter Parameter false 6aa03082-1247-4d15-966f-8082404943d9 1 7286 7446 53 30 7314 7461 Point on curve at {t} e6d83715-3d0b-4a05-a623-e1c141d73bc8 Point Point false 0 7369 7416 50 20 7395.5 7426 Curvature vector at {t} 032e66bc-d010-4bbf-8f3f-5daaf598e746 Curvature Curvature false 0 7369 7436 50 20 7395.5 7446 Curvature circle at {t} 95808bb1-8c7f-43b1-a4c9-692cc098ce93 Curvature Curvature false 0 7369 7456 50 20 7395.5 7466 23862862-049a-40be-b558-2418aacbd916 Deconstruct Arc Retrieve the base plane, radius and angle domain of an arc. true 4082beaa-6ef9-4a07-bb54-4d21225e1230 Deconstruct Arc Deconstruct Arc 7295 7334 114 64 7335 7366 Arc or Circle to deconstruct 7828e46e-c601-4a75-b5a5-35252567215f Arc Arc false 95808bb1-8c7f-43b1-a4c9-692cc098ce93 1 7297 7336 23 60 7310 7366 Base plane of arc or circle 062b1e25-ee86-4353-8afc-5976956f1383 Base Plane Base Plane false 0 7350 7336 57 20 7380 7346 Radius of arc or circle 8cabf2fc-3f75-4198-93a3-c12880887f21 Radius Radius false 0 7350 7356 57 20 7380 7366 Angle domain (in radians) of arc ae22d8bd-abaa-4ff6-b33f-a3363d49aff4 Angle Angle false 0 7350 7376 57 20 7380 7386 797d922f-3a1d-46fe-9155-358b009b5997 One Over X Compute one over x. f5dab157-8362-4091-9045-40c4f26e0cdc One Over X One Over X 7294 7289 116 28 7343 7303 Input value db088c80-2fa5-4332-932c-060055a00eef Value Value false 8cabf2fc-3f75-4198-93a3-c12880887f21 1 7296 7291 32 24 7313.5 7303 Output value 69cfe8bb-36e0-4f63-9f25-1aa91b262044 2 Result Result false 0 7358 7291 50 24 7376.5 7303 290f418a-65ee-406a-a9d0-35699815b512 Scale NU Scale an object with non-uniform factors. true 9b553f8e-5f66-45c1-bd34-56a01a4a990a Scale NU Scale NU 5997 7490 154 104 6081 7542 Base geometry 6519116e-470a-4441-9334-37aad772db8e Geometry Geometry true ca7224f3-bae4-457c-81bf-1f7e560dca22 1 5999 7492 67 20 6042 7502 Base plane 9e43ff47-f13f-474f-a7e0-7fb8f40658dd Plane Plane false 0 5999 7512 67 20 6042 7522 1 1 {0} 0 0 0 1 0 0 0 1 0 Scaling factor in {x} direction bf5701b8-4518-4b4b-8b94-a3974822655f 1/X Scale X Scale X false 5d55bcf5-1aae-4bb5-93a7-3087d94838fe 1 5999 7532 67 20 6042 7542 1 1 {0} 1 Scaling factor in {y} direction cd12f495-e5e3-49fb-831d-9f90bebc0239 1/X Scale Y Scale Y false fca82e81-b054-4209-9a40-8377ad09976c 1 5999 7552 67 20 6042 7562 1 1 {0} 1 Scaling factor in {z} direction d194ba2d-aa18-4cdf-a4a8-eeb1a1fabe4b Scale Z Scale Z false 0 5999 7572 67 20 6042 7582 1 1 {0} 1 Scaled geometry cfeaab9a-dfe1-46cd-b5f7-6238cb9ea591 Geometry Geometry false 0 6096 7492 53 50 6124 7517 Transformation data dd204e29-ab8b-403e-ba63-0986abd0fe00 Transform Transform false 0 6096 7542 53 50 6124 7567 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 1a1e1173-cda4-4c91-a252-b2ab4ffd882d Relay false a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 1 5752 7444 40 16 5772 7452 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true fa3d9b09-fc2a-44c4-b2a1-c8196f0a7654 Evaluate Length Evaluate Length 6002 7703 144 64 6076 7735 Curve to evaluate c53af18a-f855-40f2-88a1-ab8526009caf Curve Curve false ca7224f3-bae4-457c-81bf-1f7e560dca22 1 6004 7705 57 20 6034 7715 Length factor for curve evaluation 74118a6f-a00d-4846-b12b-0ef2b6ad4cc3 Length Length false 0 6004 7725 57 20 6034 7735 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 6b016b77-b9c0-4364-bbae-63ac498d6c28 Normalized Normalized false 0 6004 7745 57 20 6034 7755 1 1 {0} true Point at the specified length ea146d6e-b915-42d3-86f5-87ec3b4ce0ff Point Point false 0 6091 7705 53 20 6119 7715 Tangent vector at the specified length 35c1e1a0-d7d9-46ec-8b1c-011df97dc980 Tangent Tangent false 0 6091 7725 53 20 6119 7735 Curve parameter at the specified length 0fe47a8b-0386-4c66-82b5-068ad8bfa83c Parameter Parameter false 0 6091 7745 53 20 6119 7755 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true f12f6116-024b-43f5-94b7-f43bee3590d1 Deconstruct Deconstruct 6008 7619 132 64 6055 7651 Input point 6acd527e-e812-4d1a-b66f-9e6035de3177 Point Point false ea146d6e-b915-42d3-86f5-87ec3b4ce0ff 1 6010 7621 30 60 6026.5 7651 Point {x} component 5d55bcf5-1aae-4bb5-93a7-3087d94838fe X component X component false 0 6070 7621 68 20 6105.5 7631 Point {y} component fca82e81-b054-4209-9a40-8377ad09976c Y component Y component false 0 6070 7641 68 20 6105.5 7651 Point {z} component d38eb7c1-8386-439e-8b37-01ee1f9a1230 Z component Z component false 0 6070 7661 68 20 6105.5 7671 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object ca7224f3-bae4-457c-81bf-1f7e560dca22 Relay false 1a1e1173-cda4-4c91-a252-b2ab4ffd882d 1 6057 7791 40 16 6077 7799 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d78d447b-9b74-4ff1-a0cd-e2850edf6ead Relay false cfeaab9a-dfe1-46cd-b5f7-6238cb9ea591 1 6059 7454 40 16 6079 7462 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 9b553f8e-5f66-45c1-bd34-56a01a4a990a fa3d9b09-fc2a-44c4-b2a1-c8196f0a7654 f12f6116-024b-43f5-94b7-f43bee3590d1 ca7224f3-bae4-457c-81bf-1f7e560dca22 d78d447b-9b74-4ff1-a0cd-e2850edf6ead 5 fa2ceb3a-390d-4d78-9a7c-535fdba9ee21 Group 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8b6600df-0a05-46f8-beab-8523131a78ad Panel false 1 718f51ff-f52b-4370-9fe5-616bca6dcdf3 1 Double click to edit panel content… 7439 6530 172 292 0 0 0 7439.854 6530.016 255;255;255;255 true true true false false C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 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33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers a44ac5ad-82ff-4983-8cf0-ae77cf506794 Digit Scroller false 0 12 2 4.0000000000 11386 23863 250 20 11386.02 23863.49 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 0f7fe3af-0625-4ea2-86cc-301fc60faa51 Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 2881 12992 50 24 2906.379 13004.07 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true 2bfa03b7-1869-4350-8b7f-3dd5b338d013 Expression 4322 14254 79 44 4364 14276 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable cd0321ec-fe1d-4a91-b79d-1b10d56de402 Variable X X true b858e84c-e354-43a3-8a52-1a2b2e8195ae 1 4324 14256 14 20 4332.5 14266 Expression variable 77d91d57-0cd1-4309-a7ae-04d57412912b Variable O O true 42ac9166-e290-4933-97c7-83ef0baf3f86 1 4324 14276 14 20 4332.5 14286 Result of expression 02789ff3-d94b-4ea1-80c2-2772980cb58e Result false 0 4390 14256 9 40 4396 14276 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 42ac9166-e290-4933-97c7-83ef0baf3f86 Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 4338 14322 50 24 4363.99 14334.73 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object b6299172-9c55-49c8-9960-9ab31cdc82a8 Relay false a44ac5ad-82ff-4983-8cf0-ae77cf506794 1 11496 23826 40 16 11516 23834 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects a44ac5ad-82ff-4983-8cf0-ae77cf506794 b6299172-9c55-49c8-9960-9ab31cdc82a8 2 4582f1fd-2c5d-4691-98fe-d8499b5fe9f4 Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true 5627684b-fce3-4a31-aeeb-5e764ceff882 true Expression 4379 22739 79 44 4421 22761 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 5f663c0d-4d54-4033-a454-4dceae03e1c7 true Variable X X true 18afda8e-f24e-4448-8fa3-5a49fbcb28ca 1 4381 22741 14 20 4389.5 22751 Expression variable 1e63a984-2071-409b-9fa9-8a56312a1638 true Variable O O true c8207dde-4bfa-4fe8-8975-fa4b4e4ada74 1 4381 22761 14 20 4389.5 22771 Result of expression 207d9cec-a4d2-425f-8c18-c1b9a6493af2 true Result false 0 4447 22741 9 40 4453 22761 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers c8207dde-4bfa-4fe8-8975-fa4b4e4ada74 true Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 4403 22805 50 24 4428.493 22817.55 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true 48d5ff4b-8301-46c0-b3f0-66a81897604e true Expression 2979 22733 79 44 3021 22755 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 9c9211df-c19b-4f38-8fbf-71a7fbb918c8 true Variable X X true 174bb911-caba-47e2-9382-8b612bd7dc09 1 2981 22735 14 20 2989.5 22745 Expression variable 92263414-02c7-44e7-a0cc-dbb36cdceb02 true Variable O O true c6c4d32d-3b3a-489c-bb54-cc0b46c307c4 1 2981 22755 14 20 2989.5 22765 Result of expression a6780e5e-2b14-4d81-a790-7d4b02c7a358 true Result false 0 3047 22735 9 40 3053 22755 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers c6c4d32d-3b3a-489c-bb54-cc0b46c307c4 true Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 2998 22783 50 24 3023.956 22795.8 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true 5f7bf1f7-7ac1-4ce8-b2ff-bfe64aea7d55 true Expression 5908 22735 79 44 5950 22757 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable c38335aa-38e8-4cf6-a922-0cdf9d4bdd8e true Variable X X true 5dd735ad-8c4e-4457-bd38-e14eee0646bf 1 5910 22737 14 20 5918.5 22747 Expression variable e24ee026-c687-420e-9136-52730a69de6f true Variable O O true 32907c7d-0b14-4a93-8d8b-bcda3fc126b5 1 5910 22757 14 20 5918.5 22767 Result of expression 8dbea2e7-8016-4f48-a111-3632d6f14e6e true Result false 0 5976 22737 9 40 5982 22757 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 32907c7d-0b14-4a93-8d8b-bcda3fc126b5 true Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 5932 22809 50 24 5957.07 22821.13 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true 3e304865-e3aa-4211-aa15-e64db0b27c11 true Expression 5881 14334 79 44 5923 14356 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable f1161953-252f-404a-af7a-f649808e4fca true Variable X X true 29995541-45bf-46b5-b7e2-056a09aca62e 1 5883 14336 14 20 5891.5 14346 Expression variable 21493d1b-4b0e-4cf4-8f20-b849954cc0e2 true Variable O O true feaa39ca-d99d-41fd-af1d-773431ac104a 1 5883 14356 14 20 5891.5 14366 Result of expression 0efddd5b-9711-41f1-81b1-e4da9556a186 true Result false 0 5949 14336 9 40 5955 14356 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers feaa39ca-d99d-41fd-af1d-773431ac104a true Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 5899 14404 50 24 5924.914 14416.37 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c8cd075c-340a-445d-86be-105452f4a52c 976e8b5e-a30c-4f49-accc-bc7186df6012 6fb5db2e-5145-4314-b7a4-589c72abe653 204bf0ae-a8ca-4396-b0c9-8a0370090183 fd3be4b9-6c3d-40d2-9620-43d96c79660e 95b95cd4-c235-49d5-9800-40ab242c9774 76f500ac-e86f-447d-87bc-515a18b3f0eb 39f4e0da-f78b-4920-9956-bf36224e442c 7bbb9c1e-b339-48ea-add4-6a90f1db1deb d52daa8c-d036-4514-89a1-a65a22afed24 ee4947a9-9dcc-4323-8c8c-d12c15ab91df a86fb9d7-272c-4960-a1e6-38ef64dcd7ae d34203ed-2cba-479a-bbdb-90dee022ce9e 112002ae-5ebb-4b1e-913b-b9acd4aab362 c9738aaf-0d87-4200-9c48-fd4e7339f691 6de8efd1-9621-4c16-bbb2-ecb684cc0ece 97f2d9df-b452-41a2-882d-bfd754f863f3 31abc6b8-4beb-435b-9596-154a9ce4c13a 2bda530f-0136-44c3-a70f-9fdc9d45b8ef 0a852269-2494-4c53-828b-1196b6b1a36f a82078d7-a938-48ab-abb8-c20c5709fd42 63c61abd-619f-4c80-bf3c-527632b98c7c 8dcba1b4-becc-43f6-9b60-b5ea619101f1 b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 3b520175-5d8e-4b56-aaa1-e28c99f3a48b fd9f8f17-ea37-42e6-a0c9-e263114da7b1 0c8861d7-92ed-45cb-9072-5bf60d8e6d51 6710d11e-c2fa-4762-ad92-4c4ca21e5e81 00857e0a-1044-4b3a-a868-cc9a8fb22683 d47e9bf9-b6e7-41ae-91ee-94a7f7c67c9d c48dccb2-49d0-4e50-986f-3bd136b8c34d 75aa17d3-ce8b-4fa1-9a16-e9664097ca23 c6757a5d-3bcb-4510-8358-6c6a55b0348d 963ddac3-aa83-476b-aa74-b4f6ef5367bd 34 90b308fe-413d-474d-a973-ae6731f529d2 Group afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true c8cd075c-340a-445d-86be-105452f4a52c Explode Explode 6218 -8599 136 44 6285 -8577 Curve to explode 3a191ca8-4a94-42a7-902b-27592e12e6e1 Curve Curve false 47bb6750-4689-4dee-a789-6addc1196d99 1 6220 -8597 50 20 6246.5 -8587 Recursive decomposition until all segments are atomic ace2efc4-de43-4f4e-840f-5798d87c0c95 Recursive Recursive false 0 6220 -8577 50 20 6246.5 -8567 1 1 {0} true 1 Exploded segments that make up the base curve 95bdd798-e277-4807-9beb-6bd5c46ccb2f Segments Segments false 0 6300 -8597 52 20 6327.5 -8587 1 Vertices of the exploded segments 55aa58f1-00ea-43e0-9902-75bb29f61f3d Vertices Vertices false 0 6300 -8577 52 20 6327.5 -8567 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 976e8b5e-a30c-4f49-accc-bc7186df6012 Evaluate Length Evaluate Length 6214 -8682 144 64 6288 -8650 Curve to evaluate 4b015c4a-d45a-457b-9f45-caf04383b4e5 Curve Curve false 95bdd798-e277-4807-9beb-6bd5c46ccb2f 1 6216 -8680 57 20 6246 -8670 Length factor for curve evaluation d91b4424-5670-4b65-915f-1e67557e4598 Length Length false 0 6216 -8660 57 20 6246 -8650 1 1 {0} 0.5 If True, the Length factor is normalized (0.0 ~ 1.0) 8141e76a-7952-4023-a138-3d92b5fd0bb9 Normalized Normalized false 0 6216 -8640 57 20 6246 -8630 1 1 {0} true Point at the specified length a586520f-66bd-474c-be0d-d1fd93c8fd15 Point Point false 0 6303 -8680 53 20 6331 -8670 Tangent vector at the specified length 3488dbc9-0b66-43b9-9c97-5fdc2f639ed6 Tangent Tangent false 0 6303 -8660 53 20 6331 -8650 Curve parameter at the specified length 80dfcfb1-ceb9-4992-8421-6d9c4ffbcb2b Parameter Parameter false 0 6303 -8640 53 20 6331 -8630 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} 6fb5db2e-5145-4314-b7a4-589c72abe653 true Line SDL Line SDL 6225 -10315 122 64 6305 -10283 Line start point 4d171874-d176-48ea-a472-621f27ceeae3 true Start Start false a586520f-66bd-474c-be0d-d1fd93c8fd15 1 6227 -10313 63 20 6268 -10303 Line tangent (direction) a04c54bb-e292-4f67-8258-38a9d748cefe true Direction Direction false af9b6279-d40b-4a73-b0e1-f812ba3c765f 1 6227 -10293 63 20 6268 -10283 1 1 {0} 0 0 1 Line length cf932292-17ff-444c-939b-6f52e3192e83 ABS(X) true Length Length false 8b2ca3a6-7edb-46fc-b6db-2e242e584f9d 1 6227 -10273 63 20 6268 -10263 1 1 {0} 0.015625 Line segment 3afa17ac-9047-4912-88b0-68f86fd95700 true Line Line false 0 6320 -10313 25 60 6334 -10283 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data 204bf0ae-a8ca-4396-b0c9-8a0370090183 Relative Differences Relative Differences 6222 -9025 128 28 6275 -9011 1 List of data to operate on (numbers or points or vectors allowed) cdcedf01-f875-435f-9abb-6f60c1bec078 Values Values false a911d8d2-c7c5-4d4f-821b-c7b63ed2247e 1 6224 -9023 36 24 6243.5 -9011 1 Differences between consecutive items 3ab8f7c8-a546-4d41-b632-1d8d8059a2e9 Differenced Differenced false 0 6290 -9023 58 24 6320.5 -9011 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true fd3be4b9-6c3d-40d2-9620-43d96c79660e Replace Nulls Replace Nulls 6218 -8969 136 44 6304 -8947 1 Items to test for null 5b510f47-dca9-4bc6-b6d5-b90c04de3ed7 Items Items false 7bbb9c1e-b339-48ea-add4-6a90f1db1deb 1 6220 -8967 69 20 6256 -8957 1 Items to replace nulls with 939d88b4-e804-4277-af4b-d5fdb086c2b6 Replacements Replacements false 0 6220 -8947 69 20 6256 -8937 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls a911d8d2-c7c5-4d4f-821b-c7b63ed2247e Items Items false 0 6319 -8967 33 20 6337 -8957 Number of items replaced 3063d2ef-f5c0-4377-9412-1d13df563687 Count Count false 0 6319 -8947 33 20 6337 -8937 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. 95b95cd4-c235-49d5-9800-40ab242c9774 List Length List Length 6240 -9074 93 28 6279 -9060 1 Base list 16ae0143-94a4-4f25-867a-a8211e6b81c0 List List false 3ab8f7c8-a546-4d41-b632-1d8d8059a2e9 1 6242 -9072 22 24 6254.5 -9060 Number of items in L f850dc4f-3618-412b-a16d-22f6594bfe58 Length Length false 0 6294 -9072 37 24 6314 -9060 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. 76f500ac-e86f-447d-87bc-515a18b3f0eb List Item List Item 6249 -9237 74 64 6297 -9205 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list d416348c-0e8e-4d97-bbb5-2389b99741fd List List false 3ab8f7c8-a546-4d41-b632-1d8d8059a2e9 1 6251 -9235 31 20 6268 -9225 Item index 2455210e-01e2-456d-93b4-8c18d4e78d8e Index Index false 41b01dbf-35fb-4ffd-97af-8a301a30ae51 1 6251 -9215 31 20 6268 -9205 1 1 {0} 0 Wrap index to list bounds 0418784d-a559-4223-abb9-bae82691d1a8 Wrap Wrap false 0 6251 -9195 31 20 6268 -9185 1 1 {0} false Item at {i'} 83f3634f-f48d-43c6-9784-1b1fdb4bc7b2 false Item i false 0 6312 -9235 9 60 6318 -9205 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. 39f4e0da-f78b-4920-9956-bf36224e442c Series Series 6228 -9155 117 64 6294 -9123 First number in the series 76f5e496-ff76-48df-bbca-9126275c4799 Start Start false 0 6230 -9153 49 20 6264 -9143 1 1 {0} 1 Step size for each successive number 0622652d-c9f8-4494-96b7-4157a74fc985 Step Step false 0 6230 -9133 49 20 6264 -9123 1 1 {0} 1 Number of values in the series e2233f34-94f4-42f1-b468-05b3ac5fbced X-1 Count Count false f850dc4f-3618-412b-a16d-22f6594bfe58 1 6230 -9113 49 20 6264 -9103 1 1 {0} 10 1 Series of numbers 41b01dbf-35fb-4ffd-97af-8a301a30ae51 Series Series false 0 6309 -9153 34 60 6327.5 -9123 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7bbb9c1e-b339-48ea-add4-6a90f1db1deb Relay false cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd 1 6266 -8906 40 16 6286 -8898 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object d52daa8c-d036-4514-89a1-a65a22afed24 Relay false 83f3634f-f48d-43c6-9784-1b1fdb4bc7b2 1 6266 -9270 40 16 6286 -9262 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 204bf0ae-a8ca-4396-b0c9-8a0370090183 fd3be4b9-6c3d-40d2-9620-43d96c79660e 95b95cd4-c235-49d5-9800-40ab242c9774 76f500ac-e86f-447d-87bc-515a18b3f0eb 39f4e0da-f78b-4920-9956-bf36224e442c 7bbb9c1e-b339-48ea-add4-6a90f1db1deb d52daa8c-d036-4514-89a1-a65a22afed24 7 ee4947a9-9dcc-4323-8c8c-d12c15ab91df Group 2dc44b22-b1dd-460a-a704-6462d6e91096 Curve Closest Point Find the closest point on a curve. true a86fb9d7-272c-4960-a1e6-38ef64dcd7ae Curve Closest Point Curve Closest Point 6226 -8770 120 64 6276 -8738 Point to project onto curve a1c1dd99-2a51-435e-a768-64e6070d408c Point Point false a586520f-66bd-474c-be0d-d1fd93c8fd15 1 6228 -8768 33 30 6246 -8753 Curve to project onto 2b4396f6-b1d7-422b-84f3-a19ed6610e17 Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6228 -8738 33 30 6246 -8723 Point on the curve closest to the base point 1eed86aa-3e83-4ffa-b858-57ee651bd58d Point Point false 0 6291 -8768 53 20 6319 -8758 Parameter on curve domain of closest point 6d47cadb-6082-45ab-8664-50ec48352a8d Parameter Parameter false 0 6291 -8748 53 20 6319 -8738 Distance between base point and curve fe4f7f9f-3c60-4cec-9bd5-895852c74b47 Distance Distance false 0 6291 -8728 53 20 6319 -8718 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true d34203ed-2cba-479a-bbdb-90dee022ce9e Line Line 6229 -8849 114 44 6301 -8827 Line start point a608e61a-9ec1-43e8-b82d-715270eb56cf Start Point Start Point false 1eed86aa-3e83-4ffa-b858-57ee651bd58d 1 6231 -8847 55 20 6260 -8837 Line end point 73939957-b065-4553-a2d0-98d31d94ae61 End Point End Point false a586520f-66bd-474c-be0d-d1fd93c8fd15 1 6231 -8827 55 20 6260 -8817 Line segment af9b6279-d40b-4a73-b0e1-f812ba3c765f Line Line false 0 6316 -8847 25 40 6330 -8827 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true 112002ae-5ebb-4b1e-913b-b9acd4aab362 Remap Numbers Remap Numbers 6229 -10013 115 64 6284 -9981 Value to remap b7568e4f-d956-447c-82cc-eca1511944e1 Value Value false 6de8efd1-9621-4c16-bbb2-ecb684cc0ece 1 6231 -10011 38 20 6251.5 -10001 Source domain 021bb787-e095-4eb3-93ae-9af05c54ac1c Source Source false e6d2aa88-fc86-4d45-96bc-c1945edc1293 1 6231 -9991 38 20 6251.5 -9981 1 1 {0} 0 1 Target domain af9ba95f-0b42-49d1-ba7b-5b22ea433b0c Target Target false 0 6231 -9971 38 20 6251.5 -9961 1 1 {0} -1 1 Remapped number 83ef78c2-8164-4b50-b276-608296da9351 Mapped Mapped false 0 6299 -10011 43 30 6322 -9996 Remapped and clipped number b8fa42d6-b042-4ccd-919d-391c9816295e Clipped Clipped false 0 6299 -9981 43 30 6322 -9966 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true c9738aaf-0d87-4200-9c48-fd4e7339f691 Bounds Bounds 6225 -9931 122 28 6289 -9917 1 Numbers to include in Bounds 98896f96-90b5-4f08-bda9-9893fc697bde Numbers Numbers false 6de8efd1-9621-4c16-bbb2-ecb684cc0ece 1 6227 -9929 47 24 6252 -9917 Numeric Domain between the lowest and highest numbers in {N} e6d2aa88-fc86-4d45-96bc-c1945edc1293 Domain Domain false 0 6304 -9929 41 24 6326 -9917 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 6de8efd1-9621-4c16-bbb2-ecb684cc0ece Relay false d52daa8c-d036-4514-89a1-a65a22afed24 1 6266 -9884 40 16 6286 -9876 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 97f2d9df-b452-41a2-882d-bfd754f863f3 Multiplication Multiplication 6245 -10212 82 44 6276 -10190 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 473386ac-d49e-45c7-ae2b-f0164d897185 A A true e7b69294-6947-4384-b3e3-036d1b0b6ba8 1 6247 -10210 14 20 6255.5 -10200 Second item for multiplication 442a7fbe-05ff-42d7-a669-e1a039c4e50e B B true 0a852269-2494-4c53-828b-1196b6b1a36f 1 6247 -10190 14 20 6255.5 -10180 Result of multiplication 8b2ca3a6-7edb-46fc-b6db-2e242e584f9d Result Result false 0 6291 -10210 34 40 6309.5 -10190 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 31abc6b8-4beb-435b-9596-154a9ce4c13a Multiplication Multiplication 6245 -10105 82 44 6276 -10083 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 1f9f27a3-5bf2-4fa6-ba28-5a24c28dfd67 A A true 2bda530f-0136-44c3-a70f-9fdc9d45b8ef 1 6247 -10103 14 20 6255.5 -10093 Second item for multiplication 2e867a5d-de5f-4d2f-92cb-38de3b5b8032 B B true 83ef78c2-8164-4b50-b276-608296da9351 1 6247 -10083 14 20 6255.5 -10073 Result of multiplication e7b69294-6947-4384-b3e3-036d1b0b6ba8 Result Result false 0 6291 -10103 34 40 6309.5 -10083 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 2bda530f-0136-44c3-a70f-9fdc9d45b8ef Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 -10040 40 16 6286 -10032 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 0a852269-2494-4c53-828b-1196b6b1a36f Digit Scroller false 0 12 2 0.2500000000 6161 -10140 250 20 6161.767 -10139.8 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 112002ae-5ebb-4b1e-913b-b9acd4aab362 c9738aaf-0d87-4200-9c48-fd4e7339f691 6de8efd1-9621-4c16-bbb2-ecb684cc0ece 97f2d9df-b452-41a2-882d-bfd754f863f3 31abc6b8-4beb-435b-9596-154a9ce4c13a 2bda530f-0136-44c3-a70f-9fdc9d45b8ef 0a852269-2494-4c53-828b-1196b6b1a36f 7 a82078d7-a938-48ab-abb8-c20c5709fd42 Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects c8cd075c-340a-445d-86be-105452f4a52c 976e8b5e-a30c-4f49-accc-bc7186df6012 a86fb9d7-272c-4960-a1e6-38ef64dcd7ae d34203ed-2cba-479a-bbdb-90dee022ce9e 4 63c61abd-619f-4c80-bf3c-527632b98c7c Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true 8dcba1b4-becc-43f6-9b60-b5ea619101f1 true Expression Expression 6189 -9370 194 28 6289 -9356 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 27fcdf74-8fe2-4f18-bf6a-712c4afc6b21 true Variable O O true fd9f8f17-ea37-42e6-a0c9-e263114da7b1 1 6191 -9368 14 24 6199.5 -9356 Result of expression ef260719-8f91-419a-8676-2b70252ad03a true Result false 0 6372 -9368 9 24 6378 -9356 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 Panel false 1 ef260719-8f91-419a-8676-2b70252ad03a 1 Double click to edit panel content… 6194 -9637 185 271 0 0 0 6194.286 -9636.485 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 3b520175-5d8e-4b56-aaa1-e28c99f3a48b Relay false b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 1 6266 -9679 40 16 6286 -9671 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object fd9f8f17-ea37-42e6-a0c9-e263114da7b1 Relay false d52daa8c-d036-4514-89a1-a65a22afed24 1 6266 -9323 40 16 6286 -9315 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 8dcba1b4-becc-43f6-9b60-b5ea619101f1 b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 3b520175-5d8e-4b56-aaa1-e28c99f3a48b fd9f8f17-ea37-42e6-a0c9-e263114da7b1 4 0c8861d7-92ed-45cb-9072-5bf60d8e6d51 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 6710d11e-c2fa-4762-ad92-4c4ca21e5e81 Create Material Create Material 6214 -10441 144 104 6298 -10389 Colour of the diffuse channel 808cb76b-a6f9-4655-a21a-37b34ebde156 Diffuse Diffuse false 0 6216 -10439 67 20 6251 -10429 1 1 {0} 255;201;201;201 Colour of the specular highlight 790e9e5c-8b41-49a7-8ee8-57ce3134e091 Specular Specular false 0 6216 -10419 67 20 6251 -10409 1 1 {0} 255;0;255;255 Emissive colour of the material 928b76e9-42b5-4384-8649-290f599dfff0 Emission Emission false 0 6216 -10399 67 20 6251 -10389 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 51a2571e-eaf0-4ce5-98f5-d01e50a81aa7 Transparency Transparency false 0 6216 -10379 67 20 6251 -10369 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 60824aa7-4bd3-4eb0-b9ee-56b8e9343f7a Shine Shine false 0 6216 -10359 67 20 6251 -10349 1 1 {0} 100 Resulting material 24632210-ce78-4480-b1de-0506b338fdf7 Material Material false 0 6313 -10439 43 100 6336 -10389 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true 00857e0a-1044-4b3a-a868-cc9a8fb22683 Custom Preview Custom Preview 6245 -10512 82 44 6313 -10490 Geometry to preview true 88323bbc-29b5-4a84-bb8f-a2529b680eb0 Geometry Geometry false 3afa17ac-9047-4912-88b0-68f86fd95700 1 6247 -10510 51 20 6274 -10500 The material override 62a32fe2-05b1-473f-8e93-e0f27f0013b7 Material Material false 24632210-ce78-4480-b1de-0506b338fdf7 1 6247 -10490 51 20 6274 -10480 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true d47e9bf9-b6e7-41ae-91ee-94a7f7c67c9d Evaluate Length Evaluate Length 6214 -10600 144 64 6288 -10568 Curve to evaluate c94d0827-8a08-4e6c-b2d5-7220d0feffd1 Curve Curve false 3afa17ac-9047-4912-88b0-68f86fd95700 1 6216 -10598 57 20 6246 -10588 Length factor for curve evaluation 3d928d8a-0db2-476a-a761-ac2a006daec8 Length Length false 0 6216 -10578 57 20 6246 -10568 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 76ece4eb-7402-43c2-9740-9828f87ad2c8 Normalized Normalized false 0 6216 -10558 57 20 6246 -10548 1 1 {0} true Point at the specified length a38a8b55-33da-43fc-b2d1-87e3f719ba5b Point Point false 0 6303 -10598 53 20 6331 -10588 Tangent vector at the specified length fbbf78a3-5b7c-4fcd-bbbe-f5b06202b9db Tangent Tangent false 0 6303 -10578 53 20 6331 -10568 Curve parameter at the specified length 57c932ef-9a6c-44dc-ab68-343443411079 Parameter Parameter false 0 6303 -10558 53 20 6331 -10548 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. c48dccb2-49d0-4e50-986f-3bd136b8c34d Interpolate Interpolate 6224 -10705 125 84 6291 -10663 1 Interpolation points 39fdd21b-9f87-48ca-8963-b6cf3e3abd02 Vertices Vertices false a38a8b55-33da-43fc-b2d1-87e3f719ba5b 1 6226 -10703 50 20 6252.5 -10693 Curve degree fc281441-c467-4b85-b640-7cea7b984d51 Degree Degree false 0 6226 -10683 50 20 6252.5 -10673 1 1 {0} 1 Periodic curve a1dfc547-2793-4147-a986-813387e7c992 Periodic Periodic false 0 6226 -10663 50 20 6252.5 -10653 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) 2b52f8a9-e33e-429e-b7ef-e9f83e428487 KnotStyle KnotStyle false 0 6226 -10643 50 20 6252.5 -10633 1 1 {0} 2 Resulting nurbs curve ca0e27ed-ccee-49a0-ab39-9084421fe651 Curve Curve false 0 6306 -10703 41 26 6328 -10689.67 Curve length 38a40516-4eb2-4b9a-9ee4-2d07d9a114a5 Length Length false 0 6306 -10677 41 27 6328 -10663 Curve domain 7375ad85-6b39-45fb-9e36-ca04bf24e6dd Domain Domain false 0 6306 -10650 41 27 6328 -10636.33 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true 75aa17d3-ce8b-4fa1-9a16-e9664097ca23 Create Material Create Material 6214 -10832 144 104 6298 -10780 Colour of the diffuse channel e8cf0bd4-f66f-4a2b-852d-af5298436a00 Diffuse Diffuse false 0 6216 -10830 67 20 6251 -10820 1 1 {0} 255;176;176;176 Colour of the specular highlight f846e58e-c19f-49e0-bbf4-0f87550a2cff Specular Specular false 0 6216 -10810 67 20 6251 -10800 1 1 {0} 255;0;255;255 Emissive colour of the material 6a18debe-1aa8-4dde-9e7f-4d92dc0d3688 Emission Emission false 0 6216 -10790 67 20 6251 -10780 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 3045769b-fea1-412f-84c9-01e91a8ba81e Transparency Transparency false 0 6216 -10770 67 20 6251 -10760 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine adbbee1f-fdac-4305-b768-a15d2ea15a99 Shine Shine false 0 6216 -10750 67 20 6251 -10740 1 1 {0} 100 Resulting material adbc4fb7-b2d0-495a-8a00-242ba2310cee Material Material false 0 6313 -10830 43 100 6336 -10780 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true c6757a5d-3bcb-4510-8358-6c6a55b0348d Custom Preview Custom Preview 6245 -10898 82 44 6313 -10876 Geometry to preview true 253fc2a8-b56b-453f-8cd8-80dda2a30e65 Geometry Geometry false ca0e27ed-ccee-49a0-ab39-9084421fe651 1 6247 -10896 51 20 6274 -10886 The material override 6d362eff-b007-4fe5-a470-ee02a4c14e1b Material Material false adbc4fb7-b2d0-495a-8a00-242ba2310cee 1 6247 -10876 51 20 6274 -10866 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 963ddac3-aa83-476b-aa74-b4f6ef5367bd Quick Graph Quick Graph false 0 fd9f8f17-ea37-42e6-a0c9-e263114da7b1 1 6212 -9834 150 150 6212.106 -9833.009 -1 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects b254e5d4-ce8a-4e90-b368-2b8eb4b0417d 451ff23e-89b8-402c-80d2-64b65759d57e c83c505d-8ef4-4b52-ba92-6bcecab4d890 ca7e90ca-36de-4b85-91dd-2a6bfb87f411 d2fbc32e-469f-4f0b-93fb-f74302684933 8d9eea06-9076-4a6f-9483-ad59d9ef3391 908bebb3-fbd6-4b4e-b2f6-d2736d675238 60dc3701-2781-4a3c-894d-37a06a9d5c61 fda64ac3-64ee-44d2-a85b-dbf06a8abab6 596517f6-713f-4075-9483-f7a574b0e19e 5d884223-a380-4cfe-930f-a9443533a48d bdc296e4-56d8-4c36-b73c-ab2b716e23aa 546f285b-4beb-4144-9382-320016283c77 adcf5e4a-a298-48ab-9df6-dd3f9f0b4650 3d832594-c250-49c3-9bff-92f1a21aba3b c8458fc2-22d5-49ec-9526-921fffc74c78 8063539f-a3dc-466d-9ba3-7180c7e62bf9 00fa5c8a-02eb-4761-95cf-17938ac4d336 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 7d567dbe-59c9-46d3-9655-4410f60a7d5b e5a8f892-036a-46a8-b974-6fbab0908172 d1d65df3-8df7-492c-a128-ff12057e14c9 bb1e236b-c251-43e2-a46f-147a0c41ea1e 5d6f3284-f12d-4c9a-8dc5-da04ec4cd217 fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f b5316373-0425-4894-a649-441530005892 bcd02164-22fd-4082-b198-f00c44c0d50c fb987159-f677-435a-b88f-f7b7c184e0ed 58175766-8ff2-46f7-b4a8-e48cfff68dc2 7f0e5128-4571-48ea-b8e6-5e2d9f8f89f4 ed472bf0-125b-4f32-b42b-39c992e6d9cb f5fa8291-dd0e-4bfe-ac98-6c010ce17e83 4bdc1d70-a5c8-4920-b546-4ff1c066b8aa 34 7352d3fd-f3c9-4c6b-a1b1-d11278b90842 Group afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true b254e5d4-ce8a-4e90-b368-2b8eb4b0417d Explode Explode 6218 -11035 136 44 6285 -11013 Curve to explode 6c16ec13-86b1-4b0e-b6e1-b21e094c8417 Curve Curve false ca0e27ed-ccee-49a0-ab39-9084421fe651 1 6220 -11033 50 20 6246.5 -11023 Recursive decomposition until all segments are atomic d4640314-e16a-4ab9-b894-b6c3a9c9923e Recursive Recursive false 0 6220 -11013 50 20 6246.5 -11003 1 1 {0} true 1 Exploded segments that make up the base curve c2f359e4-4de5-4460-8daf-06621c5de358 Segments Segments false 0 6300 -11033 52 20 6327.5 -11023 1 Vertices of the exploded segments 67d792f8-a397-4d8b-a7e0-59fd731c4342 Vertices Vertices false 0 6300 -11013 52 20 6327.5 -11003 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 451ff23e-89b8-402c-80d2-64b65759d57e Evaluate Length Evaluate Length 6214 -11118 144 64 6288 -11086 Curve to evaluate b0868495-bd30-4e38-bf23-e05f9bffadde Curve Curve false c2f359e4-4de5-4460-8daf-06621c5de358 1 6216 -11116 57 20 6246 -11106 Length factor for curve evaluation 3239d27a-3956-4161-b66f-1eb5d89c20d7 Length Length false 0 6216 -11096 57 20 6246 -11086 1 1 {0} 0.5 If True, the Length factor is normalized (0.0 ~ 1.0) 341759dc-221e-4dee-8038-b4ff3eb454ba Normalized Normalized false 0 6216 -11076 57 20 6246 -11066 1 1 {0} true Point at the specified length 8219b582-1576-4bfa-9f90-be383d8c3e99 Point Point false 0 6303 -11116 53 20 6331 -11106 Tangent vector at the specified length f5d643db-9bfa-4764-a8ac-9188c2095cbf Tangent Tangent false 0 6303 -11096 53 20 6331 -11086 Curve parameter at the specified length 36e99cfe-8c5e-455c-b97c-82bb0b6dfc15 Parameter Parameter false 0 6303 -11076 53 20 6331 -11066 4c619bc9-39fd-4717-82a6-1e07ea237bbe Line SDL Create a line segment defined by start point, tangent and length.} c83c505d-8ef4-4b52-ba92-6bcecab4d890 Line SDL Line SDL 6225 -12751 122 64 6305 -12719 Line start point c5133e4d-4f7b-4b9e-86db-4728e0c74fe1 Start Start false 8219b582-1576-4bfa-9f90-be383d8c3e99 1 6227 -12749 63 20 6268 -12739 Line tangent (direction) 9184b349-f063-4671-b733-cc5fcd0509da Direction Direction false 7567cf8f-c1ce-4de5-802b-ab02be89c5c6 1 6227 -12729 63 20 6268 -12719 1 1 {0} 0 0 1 Line length c2760c0f-f691-4a98-9e14-69481a1427cf ABS(X) Length Length false 295635ee-a9ce-4ef3-9c2b-12e905901756 1 6227 -12709 63 20 6268 -12699 1 1 {0} 0.015625 Line segment ab4c4690-4e7b-4578-b19a-e0204f2db4d4 Line Line false 0 6320 -12749 25 60 6334 -12719 dd17d442-3776-40b3-ad5b-5e188b56bd4c Relative Differences Compute relative differences for a list of data ca7e90ca-36de-4b85-91dd-2a6bfb87f411 Relative Differences Relative Differences 6222 -11461 128 28 6275 -11447 1 List of data to operate on (numbers or points or vectors allowed) c56e837c-07e4-4ca1-8598-fafa1590e376 Values Values false 38334ac4-d96b-478c-92c5-f4e557c4d25c 1 6224 -11459 36 24 6243.5 -11447 1 Differences between consecutive items 4d51bf26-7a98-4b64-a575-5e1c5e58b777 Differenced Differenced false 0 6290 -11459 58 24 6320.5 -11447 f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 Replace Nulls Replace nulls or invalid data with other data true d2fbc32e-469f-4f0b-93fb-f74302684933 Replace Nulls Replace Nulls 6218 -11405 136 44 6304 -11383 1 Items to test for null 3565bd24-0f13-4822-a917-637f6c0a1d8e Items Items false fda64ac3-64ee-44d2-a85b-dbf06a8abab6 1 6220 -11403 69 20 6256 -11393 1 Items to replace nulls with 6a95640e-6075-44f4-8451-80badc1095b2 Replacements Replacements false 0 6220 -11383 69 20 6256 -11373 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 1 List without any nulls 38334ac4-d96b-478c-92c5-f4e557c4d25c Items Items false 0 6319 -11403 33 20 6337 -11393 Number of items replaced 157f3717-fbd7-41dd-acde-0b97843b7a07 Count Count false 0 6319 -11383 33 20 6337 -11373 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. 8d9eea06-9076-4a6f-9483-ad59d9ef3391 List Length List Length 6240 -11510 93 28 6279 -11496 1 Base list 5c0faaf3-400c-428b-bb33-e81aedf15438 List List false 4d51bf26-7a98-4b64-a575-5e1c5e58b777 1 6242 -11508 22 24 6254.5 -11496 Number of items in L 25dab1fe-bf58-46f1-88f1-765144b0f83e Length Length false 0 6294 -11508 37 24 6314 -11496 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. 908bebb3-fbd6-4b4e-b2f6-d2736d675238 List Item List Item 6249 -11673 74 64 6297 -11641 3 8ec86459-bf01-4409-baee-174d0d2b13d0 2e3ab970-8545-46bb-836c-1c11e5610bce cb95db89-6165-43b6-9c41-5702bc5bf137 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Base list 1dae5a18-2c99-4c94-912b-eca5c4f3701d List List false 4d51bf26-7a98-4b64-a575-5e1c5e58b777 1 6251 -11671 31 20 6268 -11661 Item index aad57758-1fbf-454a-b3c0-ea9c542ffdf9 Index Index false 57b29127-b6a6-41f6-b11a-b34d0fc69b18 1 6251 -11651 31 20 6268 -11641 1 1 {0} 0 Wrap index to list bounds 7e549481-ec0d-457d-b14d-a922cc9fe02c Wrap Wrap false 0 6251 -11631 31 20 6268 -11621 1 1 {0} false Item at {i'} 37a6cc2b-8768-4402-802b-d942b86b98a1 false Item i false 0 6312 -11671 9 60 6318 -11641 e64c5fb1-845c-4ab1-8911-5f338516ba67 Series Create a series of numbers. 60dc3701-2781-4a3c-894d-37a06a9d5c61 Series Series 6228 -11591 117 64 6294 -11559 First number in the series 9e1e174c-dc9d-4f09-8e85-873115056892 Start Start false 0 6230 -11589 49 20 6264 -11579 1 1 {0} 1 Step size for each successive number cd2b0c18-9fc7-41a4-b3fa-8e72f2726aed Step Step false 0 6230 -11569 49 20 6264 -11559 1 1 {0} 1 Number of values in the series 852583d5-02e3-461f-9266-a3dfec10c15f X-1 Count Count false 25dab1fe-bf58-46f1-88f1-765144b0f83e 1 6230 -11549 49 20 6264 -11539 1 1 {0} 10 1 Series of numbers 57b29127-b6a6-41f6-b11a-b34d0fc69b18 Series Series false 0 6309 -11589 34 60 6327.5 -11559 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object fda64ac3-64ee-44d2-a85b-dbf06a8abab6 Relay false d52daa8c-d036-4514-89a1-a65a22afed24 1 6266 -11342 40 16 6286 -11334 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 596517f6-713f-4075-9483-f7a574b0e19e Relay false 37a6cc2b-8768-4402-802b-d942b86b98a1 1 6266 -11706 40 16 6286 -11698 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects ca7e90ca-36de-4b85-91dd-2a6bfb87f411 d2fbc32e-469f-4f0b-93fb-f74302684933 8d9eea06-9076-4a6f-9483-ad59d9ef3391 908bebb3-fbd6-4b4e-b2f6-d2736d675238 60dc3701-2781-4a3c-894d-37a06a9d5c61 fda64ac3-64ee-44d2-a85b-dbf06a8abab6 596517f6-713f-4075-9483-f7a574b0e19e 7 5d884223-a380-4cfe-930f-a9443533a48d Group 2dc44b22-b1dd-460a-a704-6462d6e91096 Curve Closest Point Find the closest point on a curve. true bdc296e4-56d8-4c36-b73c-ab2b716e23aa Curve Closest Point Curve Closest Point 6226 -11206 120 64 6276 -11174 Point to project onto curve e9b75eac-899a-49d3-9f72-687ec430c2f8 Point Point false 8219b582-1576-4bfa-9f90-be383d8c3e99 1 6228 -11204 33 30 6246 -11189 Curve to project onto 87ae4912-7c18-4fc3-b31f-559eecdfd639 Curve Curve false ad8132cb-3abf-4b13-8343-c8709d4759c3 1 6228 -11174 33 30 6246 -11159 Point on the curve closest to the base point 9fc4a438-a8c7-4ce5-8f03-4e310d0b37a5 Point Point false 0 6291 -11204 53 20 6319 -11194 Parameter on curve domain of closest point 89845a1b-46ab-4e3a-bcb1-4ff881cc2b19 Parameter Parameter false 0 6291 -11184 53 20 6319 -11174 Distance between base point and curve 8939ebd8-4e6e-4d1e-8163-b668fa68ec0c Distance Distance false 0 6291 -11164 53 20 6319 -11154 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true 546f285b-4beb-4144-9382-320016283c77 Line Line 6229 -11285 114 44 6301 -11263 Line start point 813f5e40-ea11-4d7d-90c1-b641e7692f7a Start Point Start Point false 9fc4a438-a8c7-4ce5-8f03-4e310d0b37a5 1 6231 -11283 55 20 6260 -11273 Line end point 851ca79c-c1a3-4fe4-bddf-03877ab89978 End Point End Point false 8219b582-1576-4bfa-9f90-be383d8c3e99 1 6231 -11263 55 20 6260 -11253 Line segment 7567cf8f-c1ce-4de5-802b-ab02be89c5c6 Line Line false 0 6316 -11283 25 40 6330 -11263 2fcc2743-8339-4cdf-a046-a1f17439191d Remap Numbers Remap numbers into a new numeric domain true adcf5e4a-a298-48ab-9df6-dd3f9f0b4650 Remap Numbers Remap Numbers 6229 -12449 115 64 6284 -12417 Value to remap 7f759d12-003e-4645-8b11-28b08ff6a197 Value Value false c8458fc2-22d5-49ec-9526-921fffc74c78 1 6231 -12447 38 20 6251.5 -12437 Source domain 0554d7ba-ae8c-4fda-9cf0-42bffef25e89 Source Source false a0a45e63-1b6f-4711-88b1-077df63ece52 1 6231 -12427 38 20 6251.5 -12417 1 1 {0} 0 1 Target domain fe56a12a-5cae-4834-8fd3-28d4c98adfe0 Target Target false 0 6231 -12407 38 20 6251.5 -12397 1 1 {0} -1 1 Remapped number b07c464b-7508-4d52-8cda-67fd765fd625 Mapped Mapped false 0 6299 -12447 43 30 6322 -12432 Remapped and clipped number db220398-2d50-4ecc-806c-9b23a9ba9deb Clipped Clipped false 0 6299 -12417 43 30 6322 -12402 f44b92b0-3b5b-493a-86f4-fd7408c3daf3 Bounds Create a numeric domain which encompasses a list of numbers. true 3d832594-c250-49c3-9bff-92f1a21aba3b Bounds Bounds 6225 -12367 122 28 6289 -12353 1 Numbers to include in Bounds 603b1781-54c6-4c52-b063-9e48d4e6c75f Numbers Numbers false c8458fc2-22d5-49ec-9526-921fffc74c78 1 6227 -12365 47 24 6252 -12353 Numeric Domain between the lowest and highest numbers in {N} a0a45e63-1b6f-4711-88b1-077df63ece52 Domain Domain false 0 6304 -12365 41 24 6326 -12353 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object c8458fc2-22d5-49ec-9526-921fffc74c78 Relay false 596517f6-713f-4075-9483-f7a574b0e19e 1 6266 -12320 40 16 6286 -12312 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 8063539f-a3dc-466d-9ba3-7180c7e62bf9 Multiplication Multiplication 6245 -12648 82 44 6276 -12626 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication c61fb749-55ce-41e5-8589-57ac2cdf2d22 A A true 4e40b01d-4406-480b-9724-98fc3587484a 1 6247 -12646 14 20 6255.5 -12636 Second item for multiplication 0e0ab553-e03b-46f2-ab30-43780a8fb0df B B true 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 1 6247 -12626 14 20 6255.5 -12616 Result of multiplication 295635ee-a9ce-4ef3-9c2b-12e905901756 Result Result false 0 6291 -12646 34 40 6309.5 -12626 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 00fa5c8a-02eb-4761-95cf-17938ac4d336 Multiplication Multiplication 6245 -12541 82 44 6276 -12519 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 First item for multiplication 2dc8faa7-8c38-48f2-b653-c01291870293 A A true 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 1 6247 -12539 14 20 6255.5 -12529 Second item for multiplication 8617c918-11f5-4dda-be69-dac6e7b9d952 B B true b07c464b-7508-4d52-8cda-67fd765fd625 1 6247 -12519 14 20 6255.5 -12509 Result of multiplication 4e40b01d-4406-480b-9724-98fc3587484a Result Result false 0 6291 -12539 34 40 6309.5 -12519 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 Relay false 6e9b77db-7611-4fec-817e-dc345f560150 1 6266 -12476 40 16 6286 -12468 33bcf975-a0b2-4b54-99fd-585c893b9e88 Digit Scroller Numeric scroller for single numbers 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 Digit Scroller false 0 12 3 990.000000000 6162 -12574 250 20 6162.426 -12573.44 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects adcf5e4a-a298-48ab-9df6-dd3f9f0b4650 3d832594-c250-49c3-9bff-92f1a21aba3b c8458fc2-22d5-49ec-9526-921fffc74c78 8063539f-a3dc-466d-9ba3-7180c7e62bf9 00fa5c8a-02eb-4761-95cf-17938ac4d336 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 7 7d567dbe-59c9-46d3-9655-4410f60a7d5b Group c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects b254e5d4-ce8a-4e90-b368-2b8eb4b0417d 451ff23e-89b8-402c-80d2-64b65759d57e bdc296e4-56d8-4c36-b73c-ab2b716e23aa 546f285b-4beb-4144-9382-320016283c77 4 e5a8f892-036a-46a8-b974-6fbab0908172 Group 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression FORMAT("{0:R}",O) true d1d65df3-8df7-492c-a128-ff12057e14c9 true Expression Expression 6189 -11806 194 28 6289 -11792 1 ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 5bb9ba03-f1af-4f82-9d2e-63259bf0ca5a true Variable O O true fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f 1 6191 -11804 14 24 6199.5 -11792 Result of expression 1fb8b882-2cd6-463e-85c4-24f846ba2c66 true Result false 0 6372 -11804 9 24 6378 -11792 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values bb1e236b-c251-43e2-a46f-147a0c41ea1e Panel false 1 1fb8b882-2cd6-463e-85c4-24f846ba2c66 1 Double click to edit panel content… 6194 -12071 185 271 0 0 0 6194.945 -12070.13 255;255;255;255 true true true false false true b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 5d6f3284-f12d-4c9a-8dc5-da04ec4cd217 Relay false bb1e236b-c251-43e2-a46f-147a0c41ea1e 1 6266 -12115 40 16 6286 -12107 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f Relay false 596517f6-713f-4075-9483-f7a574b0e19e 1 6266 -11759 40 16 6286 -11751 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects d1d65df3-8df7-492c-a128-ff12057e14c9 bb1e236b-c251-43e2-a46f-147a0c41ea1e 5d6f3284-f12d-4c9a-8dc5-da04ec4cd217 fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f 4 b5316373-0425-4894-a649-441530005892 Group 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true bcd02164-22fd-4082-b198-f00c44c0d50c Create Material Create Material 6214 -12877 144 104 6298 -12825 Colour of the diffuse channel b9f7ecfb-c2ff-45da-beb9-7ca1d869183a Diffuse Diffuse false 0 6216 -12875 67 20 6251 -12865 1 1 {0} 255;201;201;201 Colour of the specular highlight 5d4b8905-fde4-46cb-bb21-f9556b7e767f Specular Specular false 0 6216 -12855 67 20 6251 -12845 1 1 {0} 255;0;255;255 Emissive colour of the material 5f5dd87f-6aa0-4a31-9b1f-5b6ecbb132ca Emission Emission false 0 6216 -12835 67 20 6251 -12825 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent a2e60ebe-2319-4f43-a538-9a09b21af635 Transparency Transparency false 0 6216 -12815 67 20 6251 -12805 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine 2159db6e-25b3-4b04-bb4e-79ad0c0a9066 Shine Shine false 0 6216 -12795 67 20 6251 -12785 1 1 {0} 100 Resulting material 8704ff6e-bc31-4d98-a2c5-bd48a824d72b Material Material false 0 6313 -12875 43 100 6336 -12825 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true fb987159-f677-435a-b88f-f7b7c184e0ed Custom Preview Custom Preview 6245 -12948 82 44 6313 -12926 Geometry to preview true a6aac1e8-b58b-4ff2-aff7-35346793077d Geometry Geometry false ab4c4690-4e7b-4578-b19a-e0204f2db4d4 1 6247 -12946 51 20 6274 -12936 The material override 5612cc33-cc4b-4d1c-8eae-47fdeeb43883 Material Material false 8704ff6e-bc31-4d98-a2c5-bd48a824d72b 1 6247 -12926 51 20 6274 -12916 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 6b021f56-b194-4210-b9a1-6cef3b7d0848 Evaluate Length Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. true 58175766-8ff2-46f7-b4a8-e48cfff68dc2 Evaluate Length Evaluate Length 6214 -13036 144 64 6288 -13004 Curve to evaluate 3cc99759-1571-450e-bdbf-12d1d7fffc45 Curve Curve false ab4c4690-4e7b-4578-b19a-e0204f2db4d4 1 6216 -13034 57 20 6246 -13024 Length factor for curve evaluation 7974b151-0f7e-441a-a419-b52c5e7762f8 Length Length false 0 6216 -13014 57 20 6246 -13004 1 1 {0} 1 If True, the Length factor is normalized (0.0 ~ 1.0) 130576c2-f9f0-475b-ae3a-3baec7ded4d4 Normalized Normalized false 0 6216 -12994 57 20 6246 -12984 1 1 {0} true Point at the specified length 644f4835-d6e0-4731-ab02-86879cc07d8d Point Point false 0 6303 -13034 53 20 6331 -13024 Tangent vector at the specified length cc3bb07c-66ec-445e-ab89-fa978bd6c34b Tangent Tangent false 0 6303 -13014 53 20 6331 -13004 Curve parameter at the specified length 0de9c377-26b0-4dbc-905d-928ef334bd09 Parameter Parameter false 0 6303 -12994 53 20 6331 -12984 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 Interpolate Create an interpolated curve through a set of points. 7f0e5128-4571-48ea-b8e6-5e2d9f8f89f4 Interpolate Interpolate 6224 -13141 125 84 6291 -13099 1 Interpolation points 77cd0748-1530-4300-b0fd-50f5dcf71836 Vertices Vertices false 644f4835-d6e0-4731-ab02-86879cc07d8d 1 6226 -13139 50 20 6252.5 -13129 Curve degree 81d361f0-4bf4-4580-8e3a-d0e69c565af2 Degree Degree false 0 6226 -13119 50 20 6252.5 -13109 1 1 {0} 1 Periodic curve f8e0ce3e-2d77-4fe0-9fc3-9e5619e39373 Periodic Periodic false 0 6226 -13099 50 20 6252.5 -13089 1 1 {0} false Knot spacing (0=uniform, 1=chord, 2=sqrtchord) e97773f7-add3-4ad9-a8d9-7357f7e34b31 KnotStyle KnotStyle false 0 6226 -13079 50 20 6252.5 -13069 1 1 {0} 2 Resulting nurbs curve 27041c5f-56c1-4b37-ac6a-ddb9e94b9761 Curve Curve false 0 6306 -13139 41 26 6328 -13125.67 Curve length d12d6055-f416-42f7-863f-475c32c26ec4 Length Length false 0 6306 -13113 41 27 6328 -13099 Curve domain fbb957ed-da2f-4310-827b-b483e3c31eca Domain Domain false 0 6306 -13086 41 27 6328 -13072.33 76975309-75a6-446a-afed-f8653720a9f2 Create Material Create an OpenGL material. true ed472bf0-125b-4f32-b42b-39c992e6d9cb Create Material Create Material 6214 -13268 144 104 6298 -13216 Colour of the diffuse channel e9fd61d4-5799-4634-9207-8bdd1d43ad00 Diffuse Diffuse false 0 6216 -13266 67 20 6251 -13256 1 1 {0} 255;176;176;176 Colour of the specular highlight 79b12ffc-ae0d-47a0-83be-34f3563276c1 Specular Specular false 0 6216 -13246 67 20 6251 -13236 1 1 {0} 255;0;255;255 Emissive colour of the material db5b97a4-f2e8-4a1c-92d8-ee5135bb6d2c Emission Emission false 0 6216 -13226 67 20 6251 -13216 1 1 {0} 255;0;0;0 Amount of transparency (0.0 = opaque, 1.0 = transparent 25eee609-6691-464c-a476-7d0367568ba1 Transparency Transparency false 0 6216 -13206 67 20 6251 -13196 1 1 {0} 0.5 Amount of shinyness (0 = none, 1 = low shine, 100 = max shine b276f2be-1b39-4dee-95c2-4e37bd9495f5 Shine Shine false 0 6216 -13186 67 20 6251 -13176 1 1 {0} 100 Resulting material a3b70218-bf86-44d7-b85b-42d73860ede0 Material Material false 0 6313 -13266 43 100 6336 -13216 537b0419-bbc2-4ff4-bf08-afe526367b2c Custom Preview Allows for customized geometry previews true f5fa8291-dd0e-4bfe-ac98-6c010ce17e83 Custom Preview Custom Preview 6245 -13334 82 44 6313 -13312 Geometry to preview true 0a91ebd1-7f21-41aa-9935-e999902a2c92 Geometry Geometry false 27041c5f-56c1-4b37-ac6a-ddb9e94b9761 1 6247 -13332 51 20 6274 -13322 The material override 3988bf1a-7196-4af2-8255-aa57ec70bf82 Material Material false a3b70218-bf86-44d7-b85b-42d73860ede0 1 6247 -13312 51 20 6274 -13302 1 1 {0} 255;221;160;221 255;66;48;66 0.5 255;255;255;255 0 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef Quick Graph 1 Display a set of y-values as a graph 4bdc1d70-a5c8-4920-b546-4ff1c066b8aa Quick Graph Quick Graph false 0 fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f 1 6211 -12267 150 150 6211.765 -12266.65 -1 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true f582e4af-ec7c-4482-af00-9cefb7455e43 true Expression 7514 14389 79 44 7556 14411 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable 222fbf31-00c4-424d-89d6-cc97943950db true Variable X X true 88b8ffb1-067f-4ad4-ae02-6871e4a07719 1 7516 14391 14 20 7524.5 14401 Expression variable e2cfc35e-1039-4f48-9eb2-c4f88beb058c true Variable O O true 2ac3b344-e8c4-43f0-b9bd-40e4f55f130c 1 7516 14411 14 20 7524.5 14421 Result of expression e9108fb0-4e98-43b0-a1c1-8a485719f55c true Result false 0 7582 14391 9 40 7588 14411 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 2ac3b344-e8c4-43f0-b9bd-40e4f55f130c true Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 7533 14459 50 24 7558.999 14471.85 9df5e896-552d-4c8c-b9ca-4fc147ffa022 Expression Evaluate an expression X^O true 928fca06-febb-4fb7-aab8-93abe69f5560 true Expression 7559 22737 79 44 7601 22759 2 ba80fd98-91a1-4958-b6a7-a94e40e52bdb ba80fd98-91a1-4958-b6a7-a94e40e52bdb 1 8ec86459-bf01-4409-baee-174d0d2b13d0 Expression variable dd8dd510-c687-4e4d-9a6b-056374d6a12c true Variable X X true 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 1 7561 22739 14 20 7569.5 22749 Expression variable fdc35c21-c0d3-4b47-ba8c-532a72d34942 true Variable O O true d0d4ab4a-e13c-4e54-8bf2-fdfe06c9fb13 1 7561 22759 14 20 7569.5 22769 Result of expression 4e078a63-85c7-41a6-bd1b-5e79f349625e true Result false 0 7627 22739 9 40 7633 22759 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers d0d4ab4a-e13c-4e54-8bf2-fdfe06c9fb13 true Number Number false b6299172-9c55-49c8-9960-9ab31cdc82a8 1 7585 22813 50 24 7610.37 22825.18 0bb3d234-9097-45db-9998-621639c87d3b Bounding Box Solve oriented geometry bounding boxes. true b7bb5b53-74d0-4ca8-a718-0885da7ed5b9 Bounding Box Bounding Box true 6487 2044 100 44 6546 2066 1 Geometry to contain 11d462a7-3f8b-4924-aa70-42aabc7c1d44 Content Content false e67b2c1f-9492-474f-abbf-c0be8e311c9c 1 6489 2046 42 20 6511.5 2056 BoundingBox orientation plane true 77e80e82-46c6-46aa-a42b-ca93ff80cf7e Plane Plane false 0 6489 2066 42 20 6511.5 2076 1 1 {0} 0 0 0 1 0 0 0 1 0 Aligned bounding box in world coordinates 2f53a078-5a10-4e86-b169-658ad4a3d5ea Box Box false 0 6561 2046 24 20 6574.5 2056 Bounding box in orientation plane coordinates true 2fa42cc8-6293-4ee7-8e31-6b03a60f5177 Box Box false 0 6561 2066 24 20 6574.5 2076 0bb3d234-9097-45db-9998-621639c87d3b Bounding Box Solve oriented geometry bounding boxes. true 811b1fb0-febd-4f8a-b4a7-c19626050293 Bounding Box Bounding Box true 2966 2655 100 44 3025 2677 1 Geometry to contain bcb0b79c-124d-4987-8506-0adbd42ce5fe Content Content false 2fda8a5c-a335-4f9c-b920-73287d3f5422 1 2968 2657 42 20 2990.5 2667 BoundingBox orientation plane true f8629548-e4f7-42c8-8812-68b176381b6f Plane Plane false 0 2968 2677 42 20 2990.5 2687 1 1 {0} 0 0 0 1 0 0 0 1 0 Aligned bounding box in world coordinates 59df2f16-8b38-4266-af3c-245e7f129182 Box Box false 0 3040 2657 24 20 3053.5 2667 Bounding box in orientation plane coordinates true de0064fa-4fe5-4279-a33a-7ed05b18f588 Box Box false 0 3040 2677 24 20 3053.5 2687 0bb3d234-9097-45db-9998-621639c87d3b Bounding Box Solve oriented geometry bounding boxes. true baa51d5b-a5f3-4574-aede-300068f42fc4 Bounding Box Bounding Box true 2971 4529 100 44 3030 4551 1 Geometry to contain 9e148d2d-be09-4361-b367-09ebf993ba76 Content Content false 4b3e0cfc-1bf6-4465-bf99-c5f0e54e134f 1 2973 4531 42 20 2995.5 4541 BoundingBox orientation plane true 3d9968f6-69ae-4845-8619-4115de2d9a92 Plane Plane false 0 2973 4551 42 20 2995.5 4561 1 1 {0} 0 0 0 1 0 0 0 1 0 Aligned bounding box in world coordinates 82187058-5454-4e5c-8c71-3665edf68540 Box Box false 0 3045 4531 24 20 3058.5 4541 Bounding box in orientation plane coordinates true 45e9e646-23bb-455d-8122-c2f633311c14 Box Box false 0 3045 4551 24 20 3058.5 4561 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 485b7039-99bd-466f-807e-cf77d540220d Merge Merge 3145 2615 87 84 3181 2657 4 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 168ed75b-031b-4cd6-b63e-35a20e8bfaad false Data 1 D1 true 2f53a078-5a10-4e86-b169-658ad4a3d5ea 1 3147 2617 19 20 3158 2627 2 Data stream 2 efb5c645-c84a-4e9e-9de2-69e6c40767d6 false Data 2 D2 true 82187058-5454-4e5c-8c71-3665edf68540 1 3147 2637 19 20 3158 2647 2 Data stream 3 36457af3-5550-483e-b28c-9168d1149bb0 false Data 3 D3 true 59df2f16-8b38-4266-af3c-245e7f129182 1 3147 2657 19 20 3158 2667 2 Data stream 4 6707acd4-553e-4dda-a95a-4868933a5109 false Data 4 D4 true 0 3147 2677 19 20 3158 2687 2 Result of merge 92ae7a25-c091-4ae1-ad04-720e1824585e Result Result false 0 3196 2617 34 80 3214.5 2657 b6236720-8d88-4289-93c3-ac4c99f9b97b Relay 2 A wire relay object 933e3e63-052a-47e5-bf78-bc3f43caee81 Relay false e286d01e-ac40-479b-9506-fea4034f1b81 1 3135 3863 40 16 3155 3871 afb96615-c59a-45c9-9cac-e27acb1c7ca0 Explode Explode a curve into smaller segments. true ae48a347-0677-495b-8ddb-e9959f1a41a8 Explode Explode 2966 3211 136 44 3033 3233 Curve to explode 381259eb-cc8e-4b28-900c-7bbfda1f0d70 Curve Curve false 4b3e0cfc-1bf6-4465-bf99-c5f0e54e134f 1 2968 3213 50 20 2994.5 3223 Recursive decomposition until all segments are atomic 695deb65-87ee-41c8-9f11-5fb94f6bfd70 Recursive Recursive false 0 2968 3233 50 20 2994.5 3243 1 1 {0} true 1 Exploded segments that make up the base curve e0ca28a7-de7c-4b48-92cc-808921d074c7 Segments Segments false 0 3048 3213 52 20 3075.5 3223 1 Vertices of the exploded segments 78dce4c3-4ac8-4111-8b54-465853a6a873 Vertices Vertices false 0 3048 3233 52 20 3075.5 3243 ccc7b468-e743-4049-891f-299432545898 Curve Middle Get the point in the middle of a curve true 4a5af276-4781-48ad-a9eb-f624c3c9c94a Curve Middle Curve Middle 2979 3172 113 28 3029 3186 Curve for mid-point. e37baef0-1fe3-4ddb-b5db-949178479952 Curve Curve false e0ca28a7-de7c-4b48-92cc-808921d074c7 1 2981 3174 33 24 2999 3186 Point in the middle of the curve 9f9da9a8-1814-4132-ba24-144ded076acc Midpoint Midpoint false 0 3044 3174 46 24 3068.5 3186 9abae6b7-fa1d-448c-9209-4a8155345841 Deconstruct Deconstruct a point into its component parts. true 55019960-fb3c-46d2-8907-b883d94b2c31 Deconstruct Deconstruct 2970 3092 132 64 3017 3124 Input point 1fa9a0e4-253f-4826-9c5f-b7e899fe511c Point Point false 9f9da9a8-1814-4132-ba24-144ded076acc 1 2972 3094 30 60 2988.5 3124 Point {x} component 04cec134-6b81-4720-9ece-1d70fe758256 X component X component false 0 3032 3094 68 20 3067.5 3104 Point {y} component d642958c-115e-4454-9598-644ea306fe77 Y component Y component false 0 3032 3114 68 20 3067.5 3124 Point {z} component c33a0d8e-61a4-4213-8dba-f3f58e632679 Z component Z component false 0 3032 3134 68 20 3067.5 3144 3581f42a-9592-4549-bd6b-1c0fc39d067b Construct Point Construct a point from {xyz} coordinates. true 5c2b5da3-5991-4d12-9842-55fe68858f7a Construct Point Construct Point 2970 3018 129 64 3052 3050 {x} coordinate 47120426-232a-4314-bacc-753d777944a1 X coordinate X coordinate false 04cec134-6b81-4720-9ece-1d70fe758256 1 2972 3020 65 20 3006 3030 1 1 {0} 0 {y} coordinate f81887da-7e5a-4db6-b3ec-63eb24e68855 Y coordinate Y coordinate false 0 2972 3040 65 20 3006 3050 1 1 {0} 1 {z} coordinate ed704f50-b716-4e8f-950a-7a8a6aea4d8a Z coordinate Z coordinate false 0 2972 3060 65 20 3006 3070 1 1 {0} 0 Point coordinate 29428754-07d1-4754-9e30-ae4dc52a1351 Point Point false 0 3067 3020 30 60 3083.5 3050 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects 5202e00c-44d2-4c14-a5b6-ef33c742b491 ae48a347-0677-495b-8ddb-e9959f1a41a8 4a5af276-4781-48ad-a9eb-f624c3c9c94a 55019960-fb3c-46d2-8907-b883d94b2c31 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