https://github.com/hpc-maths/GenEO
Tip revision: 47b05ef7165f6cee92daa3002503259f0ec84695 authored by gouarin on 28 May 2018, 11:31:32 UTC
fix binder
fix binder
Tip revision: 47b05ef
demo 2d.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
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"text": [
"Writing demo_2d.py\n"
]
}
],
"source": [
"%%file demo_2d.py\n",
"\n",
"from __future__ import print_function, division\n",
"import os\n",
"import sys, petsc4py\n",
"petsc4py.init(sys.argv)\n",
"import mpi4py.MPI as mpi\n",
"from petsc4py import PETSc\n",
"import numpy as np\n",
"from elasticity import *\n",
"\n",
"def rhs(coords, rhs):\n",
" n = rhs.shape\n",
" rhs[..., 1] = -9.81\n",
"\n",
"OptDB = PETSc.Options()\n",
"Lx = OptDB.getInt('Lx', 10)\n",
"Ly = OptDB.getInt('Ly', 1)\n",
"n = OptDB.getInt('n', 16)\n",
"nx = OptDB.getInt('nx', Lx*n)\n",
"ny = OptDB.getInt('ny', Ly*n)\n",
"E1 = OptDB.getReal('E1', 10**6)\n",
"E2 = OptDB.getReal('E2', 1)\n",
"nu1 = OptDB.getReal('nu1', 0.4)\n",
"nu2 = OptDB.getReal('nu2', 0.4)\n",
"\n",
"hx = Lx/(nx - 1)\n",
"hy = Ly/(ny - 1)\n",
"\n",
"da = PETSc.DMDA().create([nx, ny], dof=2, stencil_width=1)\n",
"da.setUniformCoordinates(xmax=Lx, ymax=Ly)\n",
"da.setMatType(PETSc.Mat.Type.IS)\n",
"da.setFieldName(0, 'u')\n",
"da.setFieldName(1, 'v')\n",
"\n",
"path = './output_2d/'\n",
"if mpi.COMM_WORLD.rank == 0:\n",
" if not os.path.exists(path):\n",
" os.mkdir(path)\n",
" else:\n",
" os.system('rm {}/*.vts'.format(path))\n",
"\n",
"def lame_coeff(x, y, v1, v2):\n",
" output = np.empty(x.shape)\n",
" mask = np.logical_or(np.logical_and(.2<=y, y<=.4),np.logical_and(.6<=y, y<=.8))\n",
" output[mask] = v1\n",
" output[np.logical_not(mask)] = v2\n",
" return output\n",
"\n",
"# non constant Young's modulus and Poisson's ratio \n",
"E = buildCellArrayWithFunction(da, lame_coeff, (E1,E2))\n",
"nu = buildCellArrayWithFunction(da, lame_coeff, (nu1,nu2))\n",
"\n",
"lamb = (nu*E)/((1+nu)*(1-2*nu)) \n",
"mu = .5*E/(1+nu)\n",
"\n",
"class callback:\n",
" def __init__(self, da):\n",
" self.da = da\n",
" ranges = da.getRanges()\n",
" ghost_ranges = da.getGhostRanges()\n",
" \n",
" self.slices = []\n",
" for r, gr in zip(ranges, ghost_ranges):\n",
" self.slices.append(slice(gr[0], r[1]))\n",
" self.slices = tuple(self.slices)\n",
"\n",
" self.it = 0\n",
"\n",
" def __call__(self, locals):\n",
" pyKSP = locals['self']\n",
" proj = pyKSP.mpc.proj\n",
"\n",
" if self.it == 0:\n",
" work, _ = proj.A.getVecs()\n",
" for i, vec in enumerate(proj.coarse_vecs):\n",
" if vec:\n",
" proj.workl = vec.copy()\n",
" else:\n",
" proj.workl.set(0.)\n",
" work.set(0)\n",
" proj.scatter_l2g(proj.workl, work, PETSc.InsertMode.ADD_VALUES)\n",
"\n",
" viewer = PETSc.Viewer().createVTK(path + 'coarse_vec_{}.vts'.format(i), 'w', comm = PETSc.COMM_WORLD)\n",
" tmp = self.da.createGlobalVec()\n",
" tmpl_a = self.da.getVecArray(tmp)\n",
" work_a = self.da.getVecArray(work)\n",
" tmpl_a[:] = work_a[:]\n",
" tmp.view(viewer)\n",
" viewer.destroy()\n",
" self.it += 1\n",
"\n",
"\n",
"x = da.createGlobalVec()\n",
"b = buildRHS(da, [hx, hy], rhs)\n",
"A = buildElasticityMatrix(da, [hx, hy], lamb, mu)\n",
"A.assemble()\n",
"bcApplyWest(da, A, b)\n",
"\n",
"#Setup the preconditioner (or multipreconditioner) and the coarse space\n",
"pcbnn = PCBNN(A)\n",
"\n",
"# Set initial guess\n",
"x.setRandom()\n",
"xnorm = b.dot(x)/x.dot(A*x)\n",
"x *= xnorm\n",
"\n",
"ksp = PETSc.KSP().create()\n",
"ksp.setOperators(A)\n",
"ksp.setType(ksp.Type.PYTHON)\n",
"pyKSP = KSP_AMPCG(pcbnn)\n",
"pyKSP.callback = callback(da)\n",
"ksp.setPythonContext(pyKSP)\n",
"ksp.setFromOptions()\n",
"ksp.setInitialGuessNonzero(True)\n",
"\n",
"ksp.solve(b, x)\n",
"\n",
"viewer = PETSc.Viewer().createVTK(path + 'solution_2d.vts', 'w', comm = PETSc.COMM_WORLD)\n",
"x.view(viewer)\n",
"\n",
"\n",
"lamb_petsc = da.createGlobalVec()\n",
"lamb_a = da.getVecArray(lamb_petsc)\n",
"coords = da.getCoordinates()\n",
"coords_a = da.getVecArray(coords)\n",
"E = lame_coeff(coords_a[..., 0], coords_a[..., 1], E1, E2)\n",
"nu = lame_coeff(coords_a[..., 0], coords_a[..., 1], nu1, nu2)\n",
"\n",
"lamb_a[..., 0] = (nu*E)/((1+nu)*(1-2*nu)) \n",
"lamb_a[..., 1] = mpi.COMM_WORLD.rank\n",
"lamb_petsc.view(viewer)\n",
"\n",
"viewer.destroy()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Subdomain number 0 contributes 0 coarse vectors as zero energy modes of local solver\n",
"Subdomain number 1 contributes 3 coarse vectors as zero energy modes of local solver\n",
"Subdomain number 3 contributes 3 coarse vectors as zero energy modes of local solver\n",
"Subdomain number 2 contributes 3 coarse vectors as zero energy modes of local solver\n",
"GenEO eigenvalue number 0 for lambdamax in subdomain 2: (1.4945905664998919e-06+0j)\n",
"GenEO eigenvalue number 1 for lambdamax in subdomain 2: (1.3826304536173795e-05+0j)\n",
"GenEO eigenvalue number 2 for lambdamax in subdomain 2: (4.5054862698830293e-05+0j)\n",
"GenEO eigenvalue number 3 for lambdamax in subdomain 2: (0.05405868128473588+0j)\n",
"GenEO eigenvalue number 4 for lambdamax in subdomain 2: (0.054059009027751584+0j)\n",
"GenEO eigenvalue number 5 for lambdamax in subdomain 2: (0.05666304812554981+0j)\n",
"GenEO eigenvalue number 6 for lambdamax in subdomain 2: (0.05707962286854576+0j)\n",
"GenEO eigenvalue number 7 for lambdamax in subdomain 2: (0.15901212849796265+0j)\n",
"GenEO eigenvalue number 8 for lambdamax in subdomain 2: (0.15905866059814386+0j)\n",
"GenEO eigenvalue number 9 for lambdamax in subdomain 2: (0.22127754627469237+0j) <-- not selected (> 0.2)\n",
"Subdomain number 2 contributes 12 coarse vectors after first GenEO\n",
"Subdomain number 2 contributes 12 coarse vectors in total\n",
"GenEO eigenvalue number 0 for lambdamax in subdomain 1: (1.4945905664998919e-06+0j)\n",
"GenEO eigenvalue number 1 for lambdamax in subdomain 1: (1.3826304536173795e-05+0j)\n",
"GenEO eigenvalue number 2 for lambdamax in subdomain 1: (4.5054862698830293e-05+0j)\n",
"GenEO eigenvalue number 3 for lambdamax in subdomain 1: (0.05405868128473588+0j)\n",
"GenEO eigenvalue number 4 for lambdamax in subdomain 1: (0.054059009027751584+0j)\n",
"GenEO eigenvalue number 5 for lambdamax in subdomain 1: (0.05666304812554981+0j)\n",
"GenEO eigenvalue number 6 for lambdamax in subdomain 1: (0.05707962286854576+0j)\n",
"GenEO eigenvalue number 7 for lambdamax in subdomain 1: (0.15901212849796265+0j)\n",
"GenEO eigenvalue number 8 for lambdamax in subdomain 1: (0.15905866059814386+0j)\n",
"GenEO eigenvalue number 9 for lambdamax in subdomain 1: (0.22127754627469237+0j) <-- not selected (> 0.2)\n",
"Subdomain number 1 contributes 12 coarse vectors after first GenEO\n",
"Subdomain number 1 contributes 12 coarse vectors in total\n",
"GenEO eigenvalue number 0 for lambdamax in subdomain 0: (0.0003173241987885001+0j)\n",
"GenEO eigenvalue number 1 for lambdamax in subdomain 0: (0.0003370240261594047+0j)\n",
"GenEO eigenvalue number 2 for lambdamax in subdomain 0: (0.02828240156782736+0j)\n",
"GenEO eigenvalue number 3 for lambdamax in subdomain 0: (0.028283168511413163+0j)\n",
"GenEO eigenvalue number 4 for lambdamax in subdomain 0: (0.11198298627142454+0j)\n",
"GenEO eigenvalue number 5 for lambdamax in subdomain 0: (0.11219184197639594+0j)\n",
"GenEO eigenvalue number 6 for lambdamax in subdomain 0: (0.2212907727033022+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 7 for lambdamax in subdomain 0: (0.22129077350512905+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 8 for lambdamax in subdomain 0: (0.5564840670455413+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 9 for lambdamax in subdomain 0: (0.5839813243185217+0j) <-- not selected (> 0.2)\n",
"Subdomain number 0 contributes 6 coarse vectors after first GenEO\n",
"This is BNN so eigmin = 1, no eigenvalue problem will be solved for eigmin\n",
"Subdomain number 0 contributes 6 coarse vectors in total\n",
"GenEO eigenvalue number 0 for lambdamax in subdomain 3: (2.120823483577397e-05+0j)\n",
"GenEO eigenvalue number 1 for lambdamax in subdomain 3: (3.185852816809119e-05+0j)\n",
"GenEO eigenvalue number 2 for lambdamax in subdomain 3: (0.008267951049446151+0j)\n",
"GenEO eigenvalue number 3 for lambdamax in subdomain 3: (0.22129069514149075+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 4 for lambdamax in subdomain 3: (0.22129069789192463+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 5 for lambdamax in subdomain 3: (0.5564838682522086+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 6 for lambdamax in subdomain 3: (0.5839813228930885+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 7 for lambdamax in subdomain 3: (0.583981322910434+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 8 for lambdamax in subdomain 3: (0.6574284065235129+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 9 for lambdamax in subdomain 3: (0.6574287754614379+0j) <-- not selected (> 0.2)\n",
"GenEO eigenvalue number 10 for lambdamax in subdomain 3: (0.8078884348443373+0j) <-- not selected (> 0.2)\n",
"Subdomain number 3 contributes 6 coarse vectors after first GenEO\n",
"Subdomain number 3 contributes 6 coarse vectors in total\n",
"There are 36 vectors in the coarse space.\n",
"multipreconditioning initial iteration\n",
" 0 KSP Residual norm 2.064529884745e+02 \n",
"\tnatural_norm -> 1.73556393e+00\n",
"\tti -> 0.00000000e+00\n",
" 1 KSP Residual norm 3.932753275825e+01 \n",
"\tnatural_norm -> 1.63391933e+00\n",
"\tti -> 9.08271064e-01\n",
" 2 KSP Residual norm 1.580952241755e+01 \n",
"\tnatural_norm -> 2.18092684e-01\n",
"\tti -> 9.35102630e+00\n",
" 3 KSP Residual norm 9.120636856569e+00 \n",
"\tnatural_norm -> 1.31680828e-01\n",
"\tti -> 9.19892997e-01\n",
" 4 KSP Residual norm 5.183587708442e+00 \n",
"\tnatural_norm -> 1.39142872e-02\n",
"\tti -> 1.66585316e+01\n",
" 5 KSP Residual norm 4.620210219752e-01 \n",
"\tnatural_norm -> 3.69402830e-03\n",
"\tti -> 9.83343825e+00\n",
" 6 KSP Residual norm 3.409145943303e-01 \n",
"\tnatural_norm -> 9.44409737e-04\n",
"\tti -> 2.51502577e+00\n",
" 7 KSP Residual norm 6.176398129082e-02 \n",
"\tnatural_norm -> 1.94856155e-04\n",
"\tti -> 1.41290595e+01\n",
" 8 KSP Residual norm 5.612980151526e-03 \n",
"\tnatural_norm -> 2.96173613e-05\n",
"\tti -> 2.49126244e+01\n",
" 9 KSP Residual norm 6.261411769011e-04 \n",
"\tnatural_norm -> 8.52664601e-06\n",
"\tti -> 7.32377097e+00\n",
" 10 KSP Residual norm 4.518137976821e-04 \n",
"\tnatural_norm -> 4.25968757e-07\n",
"\tti -> 2.62089341e+02\n",
" 11 KSP Residual norm 1.318225537479e-04 \n",
"\tnatural_norm -> 4.12227280e-07\n",
"\tti -> 6.07461529e-01\n",
" 12 KSP Residual norm 2.998427485754e-05 \n",
"\tnatural_norm -> 4.89607585e-08\n",
"\tti -> 1.29464708e+01\n",
" 13 KSP Residual norm 8.616862952616e-06 \n",
"\tnatural_norm -> 6.81579981e-09\n",
"\tti -> 2.65471292e+01\n"
]
}
],
"source": [
"!mpiexec -np 4 python demo_2d.py -AMPCG_verbose -ksp_monitor -PCBNN_verbose -PCBNN_Geneo"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from plot import plot_solution"
]
},
{
"cell_type": "code",
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},
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}
],
"source": [
"plot_solution('output_2d', 'solution_2d.vts')"
]
},
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},
"metadata": {},
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],
"source": [
"plot_solution('./solution_3d_asm.vts')"
]
},
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"geometry = BoxGeometry( 1, 1, 1 )"
]
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"m = BufferGeometry.from_geometry(geometry)"
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"cell_type": "code",
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"metadata": {},
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"Preview(child=BufferGeometry(attributes={'position': <BufferAttribute shape=(36, 3), dtype=float32>, 'normal': <BufferAttribute shape=(36, 3), dtype=float32>, 'color': <BufferAttribute shape=(36, 3), dtype=float32>, 'uv': <BufferAttribute shape=(36, 2), dtype=float32>}), shadowMap=WebGLShadowMap())"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"m"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"material_color = MeshLambertMaterial(\n",
" side='DoubleSide',\n",
" color='0xffffff',\n",
" opacity = .5,\n",
" transparent=True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'm' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-19-ebec4e753758>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmesh\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mMesh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmaterial_color\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'm' is not defined"
]
}
],
"source": [
"mesh = Mesh(m, material_color)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a49ae9502b3e4fd0a7d51de536833667",
"version_major": 2,
"version_minor": 0
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"text/html": [
"<p>Failed to display Jupyter Widget of type <code>Preview</code>.</p>\n",
"<p>\n",
" If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
" that the widgets JavaScript is still loading. If this message persists, it\n",
" likely means that the widgets JavaScript library is either not installed or\n",
" not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
" Widgets Documentation</a> for setup instructions.\n",
"</p>\n",
"<p>\n",
" If you're reading this message in another frontend (for example, a static\n",
" rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
" it may mean that your frontend doesn't currently support widgets.\n",
"</p>\n"
],
"text/plain": [
"Preview(child=Mesh(geometry=BufferGeometry(attributes={'position': BufferAttribute(array=array([[0., 0., 0.],\n",
" [1., 0., 0.],\n",
" [1., 1., 0.],\n",
" [0., 1., 0.],\n",
" [0., 0., 1.],\n",
" [1., 0., 1.],\n",
" [1., 1., 1.],\n",
" [0., 1., 1.]], dtype=float32), normalized=False, version=1), 'index': BufferAttribute(array=array([0, 1, 2, 0, 2, 3, 4, 5, 6, 4, 6, 7, 1, 5, 6, 1, 6, 2, 0, 4, 7, 0,\n",
" 7, 3, 3, 2, 6, 3, 6, 7, 0, 1, 5, 0, 5, 4], dtype=uint16), normalized=False, version=1)}), material=MeshLambertMaterial(alphaMap=None, aoMap=None, color='0xffffff', emissiveMap=None, envMap=None, lightMap=None, map=None, side='DoubleSide', specularMap=None, vertexColors='VertexColors'), quaternion=(0.0, 0.0, 0.0, 1.0), scale=(1.0, 1.0, 1.0), up=(0.0, 1.0, 0.0)), shadowMap=WebGLShadowMap())"
]
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"metadata": {},
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{
"cell_type": "code",
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"metadata": {},
"outputs": [
{
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"{'color': BufferAttribute(array=array([[1., 1., 1.],\n",
" [1., 1., 1.],\n",
" [1., 1., 1.],\n",
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" 'uv': BufferAttribute(array=array([[0., 1.],\n",
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" [1., 1.]], dtype=float32), normalized=False, version=0)}"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"m.attributes"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"pos = np.array([[0, 0, 0],\n",
" [1, 0, 0],\n",
" [1, 1, 0],\n",
" [0, 1, 0],\n",
" [0, 0, 1],\n",
" [1, 0, 1],\n",
" [1, 1, 1],\n",
" [0, 1, 1]], dtype=np.float32)\n",
"index = np.array([0,1,2, 0,2,3,\n",
" 4,5,6, 4,6,7,\n",
" 1,5,6, 1,6,2,\n",
" 0,4,7, 0,7,3,\n",
" 3,2,6, 3,6,7,\n",
" 0,1,5, 0,5,4], dtype=np.uint16)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"vertices = BufferAttribute(\n",
" array=pos,\n",
" normalized=False\n",
")\n",
"\n",
"faces = BufferAttribute(\n",
" array=index,\n",
" normalized=False\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"geometry = BufferGeometry(\n",
" attributes={\n",
" 'position': vertices,\n",
" 'index': faces,\n",
" }\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"mesh = Mesh(geometry, material_color)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "49e1703acdfb40788226a4a53e69e92c",
"version_major": 2,
"version_minor": 0
},
"text/html": [
"<p>Failed to display Jupyter Widget of type <code>Preview</code>.</p>\n",
"<p>\n",
" If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
" that the widgets JavaScript is still loading. If this message persists, it\n",
" likely means that the widgets JavaScript library is either not installed or\n",
" not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
" Widgets Documentation</a> for setup instructions.\n",
"</p>\n",
"<p>\n",
" If you're reading this message in another frontend (for example, a static\n",
" rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
" it may mean that your frontend doesn't currently support widgets.\n",
"</p>\n"
],
"text/plain": [
"Preview(child=Mesh(geometry=BufferGeometry(attributes={'position': BufferAttribute(array=array([[0., 0., 0.],\n",
" [1., 0., 0.],\n",
" [1., 1., 0.],\n",
" [0., 1., 0.],\n",
" [0., 0., 1.],\n",
" [1., 0., 1.],\n",
" [1., 1., 1.],\n",
" [0., 1., 1.]], dtype=float32), normalized=False, version=1), 'index': BufferAttribute(array=array([0, 1, 2, 0, 2, 3, 4, 5, 6, 4, 6, 7, 1, 5, 6, 1, 6, 2, 0, 4, 7, 0,\n",
" 7, 3, 3, 2, 6, 3, 6, 7, 0, 1, 5, 0, 5, 4], dtype=uint16), normalized=False, version=1)}), material=MeshLambertMaterial(alphaMap=None, aoMap=None, color='0xffffff', emissiveMap=None, envMap=None, lightMap=None, map=None, opacity=0.5, side='DoubleSide', specularMap=None, transparent=True), quaternion=(0.0, 0.0, 0.0, 1.0), scale=(1.0, 1.0, 1.0), up=(0.0, 1.0, 0.0)), shadowMap=WebGLShadowMap())"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mesh"
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},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'index': BufferAttribute(array=array([0, 1, 2, 0, 2, 3, 4, 5, 6, 4, 6, 7, 1, 5, 6, 1, 6, 2, 0, 4, 7, 0,\n",
" 7, 3, 3, 2, 6, 3, 6, 7, 0, 1, 5, 0, 5, 4], dtype=uint16), normalized=False, version=1),\n",
" 'position': BufferAttribute(array=array([[0., 0., 0.],\n",
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},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"geometry.attributes\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'plot' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-21-88d627f14d84>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplot\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'plot' is not defined"
]
}
],
"source": [
"plot"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
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"file_extension": ".py",
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"name": "python",
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