diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 55060eeb06cdfcb9795f5fc9fe3be565e3596249..7ee5f085476297ee72c7d4000d79158e85df186a 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -49,7 +49,7 @@ test: # This job runs in the build stage, which runs first. script: - pip install . - pip install -r requirements_dev.txt - - pytest tests/. + - pytest -n auto tests/. dependencies: - build @@ -83,7 +83,7 @@ coverage_test: script: - pip install . - pip install -r requirements_dev.txt - - python -m pytest --cov=ntrfc tests + - python -m pytest -n auto --cov=ntrfc tests - coverage xml coverage: '/TOTAL.*\s+(\d+\%)/' artifacts: diff --git a/HISTORY.rst b/HISTORY.rst index f97f4848fda0c577f748ee13f12047b5923db480..7581110bb77e90f7c923b4cdb352f99cc4aa56d8 100644 --- a/HISTORY.rst +++ b/HISTORY.rst @@ -2,6 +2,15 @@ History ======= + +0.2.3 (2024-11-08) +------------------ + +- CascadeCase postprocessing plots +- parallelized pytests in CI and local +- 96% test coverage + + 0.2.2 (2024-10-31) ------------------ @@ -11,7 +20,10 @@ History 0.2.1 (2024-10-30) ------------------ -- WITHDRAWN RELEASE +WITHDRAWN RELEASE (hotfix was incomplete) + +- hotfix nondimensionals: now compatible to more then just OpenFOAM simulations + 0.2.0 (2024-10-10) ------------------ @@ -62,7 +74,7 @@ History 0.1.6 (2023-10-13) ------------------ -WITHDRAWN RELEASE +WITHDRAWN RELEASE (incomplete meshing algorithm) - productive meshing algorithm - minor improvements diff --git a/examples/cascade_case_nondimensional_gridspacing.ipynb b/examples/cascade_case_nondimensional_gridspacing.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..295cc1286c1549b831222e6ecdfaf832a280bc5e --- /dev/null +++ b/examples/cascade_case_nondimensional_gridspacing.ipynb @@ -0,0 +1,111 @@ +{ + "cells": [ + { + "cell_type": "code", + "id": "initial_id", + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2024-11-03T23:34:22.690394Z", + "start_time": "2024-11-03T23:34:18.861011Z" + } + }, + "source": [ + "from ntrfc.turbo.cascade_case.solution import GenericCascadeCase\n", + "from ntrfc.turbo.cascade_case.post import blade_deltas\n", + "import pyvista as pv\n", + "import importlib.resources\n", + "\n", + "\n", + "pv.set_jupyter_backend('trame')\n", + "\n", + "inlet_path = importlib.resources.files(\"ntrfc\") / \"data/openfoam_cascade_case/boundary/inlet.vtp\"\n", + "outlet_path = importlib.resources.files(\"ntrfc\") / \"data/openfoam_cascade_case/boundary/outlet.vtp\"\n", + "blade_path = importlib.resources.files(\"ntrfc\") / \"data/openfoam_cascade_case/boundary/blade_wall.vtp\"\n", + "fluid_path = importlib.resources.files(\"ntrfc\") / \"data/openfoam_cascade_case/internal.vtu\"\n", + "\n", + "case = GenericCascadeCase()\n", + "\n", + "case.read_meshes(inlet_path,\"inlet\")\n", + "case.read_meshes(outlet_path,\"outlet\")\n", + "case.read_meshes(blade_path,\"blade\")\n", + "case.read_meshes(fluid_path,\"fluid\")" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jupyter environment detected. Enabling Open3D WebVisualizer.\n", + "[Open3D INFO] WebRTC GUI backend enabled.\n", + "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n" + ] + } + ], + "execution_count": 1 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-11-03T23:35:00.668913Z", + "start_time": "2024-11-03T23:34:22.692357Z" + } + }, + "cell_type": "code", + "source": [ + "case.case_meta.meanvelocity_name=\"U\"\n", + "case.case_meta.meandensity_name=\"rho\"\n", + "case.case_meta.dynamic_viscosity=0.0000182\n", + "\n", + "figpath = blade_deltas(case)" + ], + "id": "a8b35ffec5240f31", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "constructing surfacemesh from wall meshes ...\n", + "calculating wall-normal vectors...\n", + "finding walladjacent cells\n", + "calculating cell spans from WallNormals...\n", + "calculating wall-shear and friction-velocity\n", + "working with pv.PolyData, dataarrays can be used for postprocessing\n" + ] + }, + { + "data": { + "text/plain": [ + "<Figure size 1500x1000 with 3 Axes>" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 2 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/compute_geoparas_from_profile.ipynb b/examples/compute_geoparas_from_profile.ipynb index c7cc8615d954bb63c048b58c902320f63bd5e031..b8d3a36023baaebf6fde4ac9c6b15832715537dd 100644 --- a/examples/compute_geoparas_from_profile.ipynb +++ b/examples/compute_geoparas_from_profile.ipynb @@ -17,8 +17,6 @@ }, { "cell_type": "code", - "execution_count": 1, - "outputs": [], "source": [ "import numpy as np\n", "import pyvista as pv\n", @@ -35,8 +33,24 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:11:52.473395Z", + "start_time": "2024-11-04T00:11:48.487654Z" } - } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jupyter environment detected. Enabling Open3D WebVisualizer.\n", + "[Open3D INFO] WebRTC GUI backend enabled.\n", + "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n" + ] + } + ], + "execution_count": 2 }, { "cell_type": "markdown", @@ -53,32 +67,6 @@ }, { "cell_type": "code", - "execution_count": 2, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "working with pv.PolyData, dataarrays can be used for postprocessing\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/many/miniconda3/envs/NTRfC/lib/python3.10/site-packages/pyvista/core/filters/poly_data.py:2942: PyVistaFutureWarning: The default value of the ``capping`` keyword argument will change in a future version to ``True`` to match the behavior of VTK. We recommend passing the keyword explicitly to prevent future surprises.\n", - " warnings.warn(\n" - ] - }, - { - "data": { - "text/plain": "<PIL.Image.Image image mode=RGB size=2400x2400>", - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "pv.set_jupyter_backend(\"static\")\n", "xs,ys = naca(\"6510\",256)\n", @@ -92,38 +80,33 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:12:19.929832Z", + "start_time": "2024-11-04T00:11:55.033575Z" } - } - }, - { - "cell_type": "code", - "execution_count": 3, + }, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "working with pv.PolyData, dataarrays can be used for postprocessing\n" + ] + }, { "data": { - "image/png": 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uoSJOILyZNmM7++yz1eaCCy444ogjwhtnvKpFZbUxpOJtH3zwwUknndSoUSOVW7ZsefPNN5ucwgEDBjRu3DjjOO4GJkA4Y8YMW5ntXUaNGqVM06233loLzPrzFHfbbTelsmlwXVU4095FBf0Au089Za2O66nJtktxJhb7Lv6ny6rGLB2sl2U2pwzsW7RX6b57xomVlZh7kpQRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEECjPAsEBwrVr13755ZcZ563lJU0bsy+gNpzTqRaiVPeIR8YlQ834JjSoPMWMU1IDO6sojTO2KdxDZbx1lAZKm1uwYIEitdrzL0r7jG1OPfVURQeVrKkFSxWNU4Cwbdu2BkFphXY3QY3z66+/al3Tr7/+OnzMXXbZRQ1MiNe2jH4XddECrfpb4c/atWvbEdyFzp0761Sh3E8++UQFk1CogjLJ9He6Q7FVXTKfVowu6luEicW4i7rkfmi/SS02qyVn9SWEj1bQV+m/dZSJZfte/HehBgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBii0QHCDUMytKlPHJTVqYooNbbbWVGjdr1kx/a93RTSIfgXub+e+rLDFVTpw40X/JU6OYUH4DhIV7KM/MY5yOGzdu5MiRMrz//vsVy4kxQmCXHXfc8e67754zZ47W81QUrWfPnosXL9500011L3cCn+K1DRs2VOPwGOHnn3+uu9StW9dzr4h3US9FQPV3SGJonT8OtTFbWm6++eZGY9GiRZ6buk9NzLJ+/fqqjNFFvYowsRh3cT9j7LLJ0lNyapS03cK9Sv/8o0ws2/fivws1CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghUbIG0AcIRI0aEP7kSyBSXUpv27dubOF/Hjh033nhjBYSmTJkS3lcrE2r5ynPOOSe8mb1qEg21Jd5jjz1mKwMLw4YNC1w6MrBxlMrCPVSUu4e3efzxx9VAC2m2bt1ar8B/mG3n3nzzTV068MADw0cLvKpYixYv1aXrrruuSZMm7jY77LCDNqhTzbPPPuuu95QnT56smgMOOMBT7z4NuYuameCiCTS6e9myQn3Lli3TqZYhNZWamwpvvfWWbeMvTJs2TZVmd0MVYnQpzsRi3MX/sFnVSEb7WSrKf/HFF2fVUY3z/irdE4g4seKLuSdJGQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB8i+QNkD4/PPPm/hfume4/vrrZ86cqchT3759TRstSqmN61Q++eSTPbvBuQdRiuGdd975xRdfaHFCd31IWfvYtWjRQg0UrApZaFQrXrrXwAwZMPqlwj1U9DmUYcuzzjpLSYQHH3zwpZde6p/GaaedpspBgwaZ5Tr9DR5++GEFdRRq0ifhv2prwu9i9lZ8/fXXTRTQ9rKFJ598UmXtmmmDoF27dlXNXXfdlW4bwq+++ur9999Xm6OOOsqME6NLcSYW4y7miWL/feutt6qvQPTxZztI3l+lewIRJ1Z8MfckKSOAAAIIIIAAAggggAACCCCAAAIIIIAAAgggUAICiqC4DwVOzKQV1KlUqdK11167Zs0adwOVtfLk1VdfrQZqqRw199X58+eb/eoOO+wwJfy5L5nySy+9pOUc1bFXr17+q9988425uwqeq9OnT69WrZqu7rXXXlOnTvVc1anSFs1KpFWqVFEz7Z3mb5Oxxj6+ewI5PtThhx+u6OaHH36Y8e6BDUwWYCBXYHt3pQKxotDd3ZWmHGVWQ4YMUXexz5o1yz+CahQX3H777dVGeZYrV670tNFWcCaX64orrvBccp9mvMuqVav23HNP3aVLly769tx9VdaKsjVr1tTVa665xl7SDpr6elWpIPTPP/9s601BA7Zq1UpXW7ZsaS/F6FKcicW4i30odyHih6QfAfOjrdRPd/co5UK8Snvf6BPLl5i9NQUEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBCqYQGKBSvdhI2RDhw41cQItDnnPPfco/LZ06VKt2aiYk11q8thjj/WHDxUWMvuWVa1atX///s8995xWHdSwWojyuOOOU8ahAjNt2rTxR3o0jZAAoa6OHTvWBP8U+7nooosmTZqkbEItL/nuu+8qi9EEhDp16mTS2vIYINStc3koMzGt8+l2jl6OGNcJHDAkQJhxVorvmp387rjjjsDBTaUS+0wz7Uf44IMPKpSo5FElifbr1898P/vss482hkw3QsS7aEdM8+r32GOPRx99VL0Uj1QKoNJYTdhYX6nnUzTPro9N6afarFGfihbFVY7p8OHDbSDZ81JidCnOxGLcxQ8e8UPq06eP0BRA9Y8QXlO4V2num9XE8iIW/rxcRQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgdAXSBggVq9Mqo/Xr11e0wH8o+Ddw4EDt9hf45Nou7pBDDvH3Uo02KTz//PMVqgnsGB4gVBflDjZu3DhwZFWeeeaZq1evPuOMM1TOb4BQt479UBlDcYEUtjJiXMe2dxdiBwjXrl176KGHilG7G/7+++/uMf1lJXcqOqjG/uOvf/3rihUr/F1MTVZ3UTxYyaP+W6hGi2EuXLjQfxc9vtYdDeyy1VZbKXSdly7FmViMu3ieLsqHpEVcTYLvM8884+keflroVxljYrmLhT8yVxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKF2BxDKM7kPhARNgU2SlXbt2n376qbaRe+KJJxQeUw5W7dq1d91112OOOUY7jaWLHWq0Ro0avf3224ovPv7440rSUvBGyWQNGjTQfm+KGKUL87inka6sRDGt1fn0009r2zll9S1atEjhq2222UYrmio6aPYeM7sVpotQphs5Y33hHirjrYvfQJu96Q3WqFFjxIgRJukzZA5NmzbV56HEvlGjRqmgl6KVRRVf1Lu2O/wFds/qLnqtM2bMuPvuu8eMGaPPUpFgrTuqZNZu3bopkzVwfO1YqbVPR44cqQzCr7/+WkEm5bbusssuqtTc6tSp4+8Vo0txJhbjLv6ny1ijvGGlZu6+++4dOnTI2NjdoNCvMsbEiiPmRqCMAAIIIIAAAggggAACCCCAAAIIIIAAAggggECpCGyk2GapzJV5IoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAjgIb59if7ggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggUEIC3iVGS2jqUaaacXlMO4h2ClyzZo09pYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAhRSo4AHC1q1bR3xt2iUxYkuaIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIFC6AuxBWLrvjpkjgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkLUAexBmTUYHBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBEpXgABh6b47Zo4AAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBA1gLeAOG8efM2+uNYsGBB1oPl3EE3LcO72+mXk2mY+Tz00EPGxP7du3dvO9WMhUGDBqljzZo1586dm7GxaRCjix35m2++sfP0F6pVq2ZbegojRoxo3759/fr1t9pqq6OOOurf//732rVrPW08p6+++upJJ520xx576OmaN29+4YUXhn+0MSRjdNEkI05s8eLFfiJ/TZcuXTwP7jkNf1+53GXFihU33HDDwQcfvOWWW+rdNWzY8NRTT33ttdc8E3CfzpkzZ8CAAfvvv3/dunWrVq260047derUSYwhbzPGXdx3NOVp06ZVrlxZei1btvRfjf1Z+oeiBgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBCiBQqQI8A4+QTuDjjz++5pprdHXw4MEK1aRr5q6P0cXd/YMPPnCfRin//PPPioG99NJLtrECbDpGjRr17LPPbrfddrbeFhRtUpT0gQcesDWT/zjUZciQIQpi2foiF4o/sRzfV4jPhAkTzjrrLP0XA7aNyjoefvjhs88++7bbbqtVq5a9ZAoKVep7+/XXX239V38czzzzzL/+9S+FCffaay97yRRi3MUzgk51x549e4bEIGN8lv67UIMAAggggAACCCCAAAIIIIAAAggggAACCCCAQIUR8GYQVpgHqzAPcsoppyjyYY7zzz8/+nOtWbNGURPFTpSZ16tXrygdY3TxDGsiMSeccML/Tznlf1euXOlpr9PrrrtO0cEtttjivvvu+/rrrxcuXKhI0rbbbjt9+vR0uZJKa1N0sHr16jfddNNnn322bNmySZMmtW3b9qefflLs6qOPPvLfRTUxJLPtktXE6tWrl6KTeqJ30aRJE01byZGBj6PKKO8r3l0ee+wx5XEqHNi4cePRo0fPnDlz6dKlL7/8ct++fTfZZJPhw4cfeOCBq1atck9M0cHLL79c39sRRxzx5JNPKmlP70WB3htvvLFGjRozZsw48sgjv/zyS3eXGHdxd7dlRSU/+eQTe+ovxPgs/YNQgwACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAxRFYn3oo4cc8m36/n3qlGGe6aRne3T5hOZmGnY8taBVN+SjaZ2tCCgMHDlTjOnXqfPvttyHN3JdidHF3V7l79+66qWJCnvp0p5pbpUqJNNZXXnnF3UYRHa0YqXotaOmuV1mLWCpGpUvjxo3zXFIoVPUKRHnq/adZSZruGbvkZWJ2quPHj9ezbL755j/88IOt9BRyf1+Bd1EsUAu96u6Ktv7yyy+emypXU0FHXb3gggvsJS3uqnitKq+66ipbaQuKL+655566qiCurYxxF9vXXXjnnXfM99ChQwfdokWLFu6rppztZ+kfgRoEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBCqSABmEiilUwOO99967+eab9WBaclPZeFGeMEYX/7AmVcukvvmv+mumTp2qxDmtPNmmTRv3VY3QqlUr1aiBu17lt99+e926dWpgAkLuq4pO6fTdd99VA3d9ccr5nditt96qaSuHsnbt2oHzz8v7CrxL//79Fb3bbbfd7rrrripVqnjuftBBB6lelfq0RG2uKiS8evVq7VaoHEpPe51qn0it/qqCUkXtC41xF//Iil+eccYZet2COuaYY/wNTE22n2W6cahHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKBiCGQIEGrNxmHDhmmxwQYNGlStWlWhJoVtbrnllsWLF4c/v6I+WihSS002bNiwWrVq2klOmT1XX331/Pnz/R179Oix0R/H9ttvb66qYGq0kqGn/e+//z5mzBjtM7fLLrsoaUnhEyUnnXPOOa+//rppeeaZZ6rveeed5+mY8TSraWT1gBlvnd8GipqYLdlOOumkE088McrgMbr4h1WIaPbs2aqPHiDUBoSK65gEL8+A9evXV40Z0H1Ju+7pNHBLxV133VWXNI25c+e6uxSnnMeJKaCl9TyVW9mnT5/AyeflfQXeRcuWPvHEE7qp1u30RwfNZLp27aqFT/UfSjzyyCOmRrtFqnD66aebU//f+++/v/4FUL1WH9Xf8e7iH3bAgAGzZs3Sv07a49B/1dTE+CzTDUU9AggggAACCCCAAAIIIIAAAggggAACCCCAAAIVQyCxumO6Q+k+WmNQiwfaBov+OLTfmxKGlK2lHCCF4uxVW5g4caI6fvHFF7ZGG8vpeOutt7RpnJZq/Oc//7npppvaq9ELyppSwpB7vzFFmH788UdtRHfPPfd06dJF4czoo8VuWbgHjD0ld8crr7xSizoqmmsyvdyX0pVjdPEPpc3/FL6tWbPmjjvu6L8aWKP4ZboQpvYgVBeFlj0dTRQ5cKNBPbVpnC7rzjNUfk/zODET7lJ8PZ1kXt5X4F0UkV2xYoVkDjjggBAfJQsqfdC8I/0MmsD/fvvtF9JFwf4333zT/LMQ4y7+kfUP0R133KF67Ymor87fwNTE+CzTDUU9AggggAACCCCAAAIIIIAAAggggAACCCCAAAIVQyBtBuELL7ygJRwVHWzWrJl+C6/fxSvCp8CYyk2bNl21atUVV1yh0I4CQh4IJQ5quUiFAerWratcQyX2qaNCesocUuKRFgPUCIcddphyE23HBx98UAl5OuwOiCqYGruGoRprz7mWLVtqKO1Op/3PHnvsMd1FocGHH35Y8ciNN9547Nixhx9+uG5nR86qEHEaMR7QTkMzV0hVgVJbk/eC3tTtt9+uYbVE5BFHHLHZZpvpRYhFAVT/yzJ3j9ElcNpmIUetF6p8suOOO05Jfso6VSKgArd6d4Fd0lUOHjxYcR29UwXJPG30dWnPOW34N3ToUPclJbRde+21qmncuLEe2X2pOOV8TUzBNn3bmvMll1wSOPO8vK90d/n+++91U32lO++8c+DdTaVWDVXhu+++09/2ZzmcXdthqvHKlSv1d4y7qJf70D9ByhXWJ63sYaU4uy95ynn8LD0jc4oAAggggAACCCCAAAIIIIAAAggggAACCCCAQKkKeDZUtCE6LW+oJD8l/GkxQE8b1WinMcW69MyXXXaZ+6q2YTOpgVoCVIl97kumPHny5K222kodO3bsqF/uexp88803xlEFzyWFixTr0tV99913xowZnqs6VXJSo0aNTHf9fe655/rbRKwJmUaODyhVzU1TjTgTTzMlX6p7r169PPX2VKspauVVi+AptG7dWmEh29gUYnTxjGBPzz//fM8d3af6JH744Qfb2F9Q6HfkyJHaOlHhTNNRZX8z1Vx88cVqoPCh4sTvvPOO3tf48eMVPFalYocvvvhiYC93ZUZJd2NTjtIl94npXn//+9/1IAru+uegmny9r3R3MeE0TUDR98AJmEr94KvNIYccolP787JkyZKQLma/QwXz1CbGXTwj69VrAsqwVHjSXLrzzjtVo4VMPS1z/Cw9o3GKAAIIIIAAAggggAACCCCAAAIIIIAAAggggEAFENhYv1IPPJTAp4VAlSZoYlruNqrR+qIDBw5U5W233WYX/BSHgii//fZb27ZtH3jggcBF/w466KDnn39eoT6llCnzzz1seFmhF+UMbbPNNq+++qpihP7GykrUmqibb765/1K+agr6gHmZpHZ5/PLLLzWUwoQjRozQq1GYVgmL1113nXaCVDan8kEVxXHfK0YXd3d32UZ99IKUZ6lUTt39jTfe0FK0+mZUo0Um9RLdXdxl7bqnrRP1yamL6o899lgThXK3MWWtjdm3b18FmLWGqmJUWtvz6KOPVl6dshWV+arPz9+lODW5T0xi9957r2bbr1+/wDnn5X2F3EX7OJqtB99///3ACZjKKVOmqKCdBd1tFLJ1n3rK7uWIc7mLhp0wYcKQIUM04P3331+jRg3PjTynOX6WntE4RQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgIgh4gpw2g1DZZv4MP3dj5RGaLce0KaCpV/xJIgoSzJs3z93SX7788svV0p/rY1ORVHD3mjZtmrFWWNFd7y/ffffdpmUhMghzf0BFMZs3b66IhX/mUWrCk9g+//xz5c/p8U8++WQt5OgZUGuxmkUjTzrpJHspRhfb11/QmqK6e+/evRUk9lzV5pH16tXT1T59+ngu2VMtJ6vAs/K97FZ22uju22+/tQ1sQVvfBe6QpzCkAsnaQs+2TFcIlwzsFaVL7hMbNGiQlLRMa+BPX77eV/hdtCSs5qCVWv3v0cgoxq8GOhSUVY39sdWKo4F0ptJseWgyCFWT7V3syEoZNFsz6lOxlSqkyyDM8bN034IyAggggAACCCCAAAIIIIAAAggggAACCCCAAAIVQ8DxPIYNECobz3PJf2r2utPGYyaYYXKelMvlb+mpmTt3rkk20h6H7ks20uAJEF5//fWKRuyzzz7uxoHlX375xaQ8FiJAmPsDBs45emV4jKpHjx5SUu6gsvQCx1TyZSKq80cClmkQo0vgyKby119/1S0CI1tqMGbMGN1a712paSGDmEuKxW677bZq36RJE7uGpLmkVWrNYrOKommvvtmzZysiqACkNiBUlqS6KPCcTsDeN1zSNnMXMnbJfWICVBKkHkGJce5b23Je3lfGu+jH0wifd955/hihwttmkkceeaSZmP2xzSpAmO1dLIKW2BWRwn6eSHC6AGEeP0s7BwoIIIAAAggggAACCCCAAAIIIIAAAggggAACCJS0QNolAQ899FD9Fj78MJleigroUMs5c+bob+0Gp6X/wg/9cl9hJDVWdCf8FubqzJkzVVD6XcbGWh1x7733ztgsXoPCPWC8+bh7KQoyduxY1Wg10erVq7sv2bIiOm3atNGp4mr6O0YXO1RgQdtP6hZ69YFXu3btqgVm9d4fffTRwAbuSm1DqJVRFab68MMPTeDHXNWclXmm+F+3bt20FWX37t21WKXWldVal9dcc41qatWqpS0eBwwY4B6tCOW8TOyRRx5RyFzr6J5yyin+OefrfYXfRfdt2LChNh9VQfm4WhVWX4v2I1SY1sAqd1OT1Bakd9xxh3+S0Wvi3UX/4cJ9992nb2z48OER1xPO42cZ/eloiQACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAeRYIDhAqCS9dkMn9MGbJStWYAOHq1avdV6OUFXWI0uz7779Xsy222CJKY0WMojSL0aZwDxhjMp4uWkFUy4qqUstyei65T82mcR999JEqY3RxDxWjrACheimMF6Wvosh///vf1dLsyWe6jBo1SouObr311qpUjMozzm677TZ48GDTRdvsea4W9DQvEzOLcP7tb38zuwB6Jpyv9xV+F3NTzWH06NGKtipfUGvSNmrUSOWWLVvefPPNWltYbRSC1Rqknhnqv5Xw1LhP161b5z5VOdu7LF++/Oyzz1bHCy644IgjjvCMFvs0q88y9l3oiAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBA+REIDhCuXbv2yy+/zDhLRSxMmy233FIFs8mctqBT94hHhw4dMt5FDUxocMmSJVEa21lFaZxVm8I9YFbTCGxs4mHKrDLbswW2UaWJ6SrQonKMLumGVXKbNp78+uuv0zUw9Vr+VAUT7lVBiYA6TC5pYEftV6d6LXur8U2Dd955RwUFh2rXrm1qPH937txZNQrlfvLJJ55LBT3NfWIvvPDCxx9/rKRJrY4bONW8vK+Md7G3PvXUUxUd1GQUqVUsVgHCtm3bmh+Bfffd98orr7QtdcmUtcCvrfQXzFfnCfNHv4sG1AaWSl7UN3zLLbf4x/fXxPss/eNQgwACCCCAAAIIIIAAAggggAACCCCAAAIIIIBABRMIDhDqIRUbyPioJhVM0cGtttpKjZs1a6a/33jjjU0iH+mWo/TcWplhqpk4caKn3n+qEEXhAoSFe0D/g2RbU6dOHXVRCpdWgwzpa65q20i1idEl3ciK3WrFSMUmw2OEn3/+uUYwd1dhu+220yqRIa/VBJ71UIojmlsrPqRCSJKoHso8lxINTZfi/J37xExinzLkPCE0O3/zXFm9YtvXFjLexbZUQS9Uq4xqZV3tRKjwXs+ePRcvXqwVO0eOHOlO39RLNHsWLlq0yN3dUzaBYbN/oftSxLuMGzdO99W/GNqg0dzOPUhgOd5nGTgUlQgggAACCCCAAAIIIIAAAggggAACCCCAAAIIVCSBtAHCESNGhD+nsnP0m3q1ad++vYnzdezYceONN1YQaMqUKeF9tbSgFi0855xzwpvZqybRUBsWms3zbL2/MGzYMP9Khv5m8WoK94Dx5uPupZiZiZqE47///vvqZSKdMbq47+gu77DDDto5TzXPPvusu95Tnjx5smq0iZ2pN+mMSpvzNLOnJkpdo0YNExtTvQkumkCjbeYuKAq1bNky1WgZUnd9ocs5TmzatGkTJkxQYP3iiy9ON9Xc31eUu6S7uyKgWthTV7XJZZMmTTzN9AGoRttGeurdp7q7ThUVdld6yiF3efzxx9VY8dHWrVvrHxz/ceGFF6qBNkrUJW2dqHK8z9IzJU4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEKh4AmkDhM8//7yJ/6V75uuvv37mzJn6XXzfvn1NGy1FqO3KVD755JNDdoBTiuGdd96pVDatLphucE+9Nglr0aKFKhWiCFloVKtculc+9AyS+2nhHjD3uVWtWvX444/XONdee63Nt/MM++qrr7722mt6ZSeeeKIuxejiGdB9etppp+l00KBBZiVJ9yVTfvjhhxUiUgxMn4epOeaYY1TQboKK+vjbq+bBBx/U3+3atbNXzc5zr7/+uokC2npbePLJJ1XWDpomRGTrC13IcWK33nqrZti1a1d9Y+mmmvv7inKXdHc/66yz9Ga1w+Wll17qb6OZq/Kuu+5K9yq1TqwJTptlY/0jmJrwu6TrFVIf47MMGY1LCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghUEAH9Qt996Pf45sEUyKlUqZKiTWvWrHE3UFnrDV599dVqoJbK2nFfnT9/vtml7LDDDlPCn/uSKb/00ktakFAde/Xq5b/6zTffmLur4Lk6ffr0atWq6epee+01depUz1WdKnPOrERapUoVNdPeaf42EWtCppHjAx5++OGKdH744YcRZ+JpZnKkAunUUqFTs9arwrQrV6709J01a5bJ2PvrX/9qL8XoYvr6H0TRo+23317yyrP0311b9JkcuyuuuMLeXQFd805POeUUJaTaelMw0SyF+pQvaC8p9rnnnnvqLl26dNF3aOtNQavL1qxZU1evueYazyXPabikp7E5De+Sy8T0Q2d+mpRhGXhrWxn7fWmE6Hext7OFIUOGSFUvS1+RrXQXtGWp/rlQG0X9f/75Z/cllYXTqlUrXW3ZsqXnkvs0413cjf1l/WcHuoV+vtyXYnyW7u6UEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCokAKJJfvchw0QDh061AQttCDkPffco/Db0qVLtYSgfgtvFxg89thj/eFDhYLMJmpKeOrfv/9zzz2nZQM1rBafPO6445S+pl/it2nTxh/d0TRCInO6OnbsWBP8UyjioosumjRpkuIlWlLy3XffVRajiU906tTJ5AwVKECoaeTygGaSWgXRbR69HB6j0jjKnzPCu+yyixaJ1eqdK1asUNjppptuUqRN8g0aNFDIxH3HGF3UPfBBlNhnljnVfoRK/lMwSYmkShjt16+f+Zb22WcfbRLpvvvo0aM1Kx2K6yh4/MMPP+gze/nll82isqr/z3/+426vstYdNZ/BHnvs8eijjyoOrXikstOU0mrCjfpi/Z+lZ5CMkp72Os3YJfbE+vTpoydVCM1/U39NvPelcbK6i/u+Ejav9Y477nDXe8omPqcHUb6v9gvUz6aCvooBDx8+3EbuQ778iHfx3NR9GhggVIMYn6V7WMoIIIAAAggggAACCCCAAAIIIIAAAggggAACCFQ8gbQBQsXqtMpo/fr19Rt//6Hg38CBA7XbX6CIUr4OOeQQfy/VaJPC888/358uZsYJDxCqjXIHGzduHDiyKs8888zVq1efccYZKhcuQKhpxH7AwLhaoGFgZcYYlXpNnDjRxGP8SieccILCb/6RY3RJ9yBK9FR00H9r1ShzUdFK/90V5DNpf55eqrzvvvv87VWj2LASST3tzanWuly4cGFgL3dlFEl3e5WjdIkxMa2VanJqn3nmGc8d053GeF8x7mLuvnbt2kMPPVS22vnv999/TzclU68QnYlD+1+Nclv13wqk657VXdINki5AqPYxPst0d6EeAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEKIJBYFdB9KFZhAmz6Rb/2fvv000+1ddwTTzyhkJhSgmrXrr3rrrtq6zhtFZYudqjRGjVq9Pbbbyu++PjjjytnSAEbJZApd03bjylKlC60455GurKSw7Q+59NPP608KmXyLVq0SEGLbbbZRiuaKjpo9oEzuxWmi1CmGzmr+sI9YFbTCGysVRyVyqZgiZS05OZPP/2ktT21Id/pp5+uZTnz1SVwHFU2bdpUn4pifqNGjVJBL0h3V4RJ7z3d5nPaEFHBJ214qQzRuXPnKh1whx12OProoy+//HKzZqn/XnrFM2bMuPvuu8eMGaNPVFFhrTuqxNZu3bopq9Xfvmg1MSamVF098u67726TJjPONsYrjnEXMw0t9Kqf5Ro1aigh1SSnhkxPW4RqgdmRI0cqg/Drr79WVFLJxEpmVaU+gDp16qTrm9Vd0g0SUh/jswwZjUsIIIAAAggggAACCCCAAAIIIIAAAggggAACCJS6wEYKcpb6MzB/BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCIKLBxxHY0QwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBCiDgXWK0AjyS+xEyLopoG2tTvTVr1thTCggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghUSIEKHiDU5nYRX5t2SYzYkmYIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIlK4AexCW7rtj5ggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghkLcAehFmT0QEBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB0hUgQFi6746ZI4AAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJC1QD4DhPPmzdvoj2PBggXRJxKvV/TxS6VlRXKYM2fOgAED9t9//7p161atWnWnnXbq1KnTQw89tHbt2mxfR4yhYnRxz2rQoEH6imvWrDl37lx3vae8YsWKG2644eCDD95yyy2rVavWsGHDU0899bXXXvM0Cz+dNm1a5cqVdbuWLVv6W37zzTfmByrwb93U38VTE/FZ9Go8t+jdu7dnKM/psmXLbrrpphYtWmy77baayc4773zGGWfMmDHD00ynixcv9gweeNqlSxdP36weP/ZdPDc1p+HvRW2if2NFnliMV6nHefXVV0866aQ99thDn33z5s0vvPDCrP4NDzSkEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKA8C1Qqz5NjbqUooKDUNddc8+uvv9rJf/XH8cwzz/zrX/9SAGOvvfayl8ILMYaK0cU9h48//liTV83gwYMV13RfcpcnTJhw1llnKaZrK1XW8fDDD5999tm33XZbrVq17KV0BRH17NkzJGj6wQcfpOsbpT7is0QZytPm6aefVjR01apVtl7BVB16uRdffPH1118fJXhp+6Yr5Pj46YbNWJ/xveT4jWWcQLoGGSeWrmNIvT4/BYMfeOAB22byH8eoUaOGDBmit2zrKSCAAAIIIIAAAggggAACCCCAAAIIIIAAAghUJIF8ZhBWJBeeJZ6AYieXX365IhlHHHHEk08+qSQwpZopP+nGG2+sUaOGMsyOPPLIL7/8MsrgMYaK0cU9kzVr1ihip8m3b9++V69e7kvu8mOPPXbUUUcpHNi4cePRo0fPnDlz6dKlL7/8ct++fTfZZJPhw4cfeOCB7uCZu6+7rEjkJ5984q7xlE2E7IQTTlAUx3+sXLnS0959GvFZTJdTTjnFjn/++ee7x/GX9Vq7du2qBzzssMOeeuqphQsX6vGVOqnI6Lp16xQDvuCCC9y96tWrZwf3FzTPJk2aqL0S19y9VM7q8WPfxXNTnYa/l2y/saJNzDxIVq9SXZQFq+hg9erVlQ/62Wef6ad10qRJbdu2/emnn/RCP/roI78PNQgggAACCCCAAAIIIIAAAggggAACCCCAAAIVQWB9/g7liRkRhYWij6oAg2IDOpYsWRK9V8VrGU+vXDloWUJFGvQNXHXVVf6JKZC255576qrCD/6rnpoYQ8Xo4rnpwIEDNb06dep8++23nkv2VMGwrbbaSs0UPvnll19svSko+UoBIV1VkMxzyXP6zjvvKJqolh06dNDfWqvT00Cn3bt31yXFVv2XMtZEeZbAQbS8pG6q+GjgVcUF69evrwann366on2eNuPGjdPyobo6duxYz6V0p+PHj1f7zTff/IcffvC0yeXxPUOF3MXTMvy95P6NeW6Xr4l5hjWn4a9SbbRQqvkI9eI8IyhGrveicL6nnlMEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBiiFQ9hmE22yzjX4pr8PEXfRbaY4SFVAoa/Xq1dqWT2lJ/kfQDmdat1D1L7300tSpU/0N3DUxhorRxX3H99577+abb1aNVlbUvnruS+5y//79FSPcbbfd7rrrripVqrgvqXzQQQepXgUN8u6773qu2lNFFrVjn/LttLrjMcccY+s9BZNCZxLsPJfCTyM+S/gggVdHjBihINl222139913m9iSu5mCnSYoFfgBuFva8q233qqyHGrXrm0rTSH243vG0WnIXdyNM76XHL8x971MOV8T848cpebtt9/WR6gPzESp3V0U49epvmE1cNdTRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEKgYAt4A4ffff69f1utQQo+ecPny5YoEKI+kQYMGCococNKyZUvFURYtWhT+/Mouuueee7TOpBKqqlat2rBhQy1LOGbMGIVVPR21ouMbfxy//fab51KM01deeeWcc85Rppo2gVMqmIJVSnWaOHFi+FC///675qYNt3bZZRflwClWoRE0zuuvv246nnnmmUqNOu+888yplpfUqQ4FS77++mu11APqMfWwrVu3HjlypPsxp0+fLs9dd91VI9etW/fQQw/VHnUKpIVPSUv8DRs2TEtZSl4jS75Vq1a33HLL4sWLwztKXlvBaV1KTUlbwSmWo+y0q6++ev78+YEd3c/y3XffqeW+++577LHHBjYOr3z22WfVQODpmu2///6ajK5qmcp0bUx9jKFidLFzUGTIbAd40kknnXjiibbeU9B6mE888YQqtQqlPzpoGus7VzqsPoBHHnnE092eDhgwYNasWXqzWpDTVnoK+kJmz56tymwDhBGfxXO7iKcK7qqlnjHdLoO6pAbTpk3TB5xxTIUAtTRrpUqV+vTp42kc+/E94+g05C6exhnfSy7fmOde+Z2Yf/AoNdqlUs0C99rUv1e6pLegrSWjDEUbBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgRIT8CRCuhe6fO6559KlUm222Wbas0pxNXd321f5Yfvtt18ghPYt05qigb2yWpjUPYIpf/755xo88KaqVGqX9tPy91KNZrv33nun69ilSxetfap8LzU499xzzQj2SRUuqlmzpr9v586df/75ZzUePHiw4h/+BjvuuKN+O++ejx1TDi+++KJZyNHfUfIK0Hrk7TiKtJrf7Ps7Kt9LYRiFY21jU7D3ffPNN22oQGFOT7OMpzbkqWTQkMbaqE9z69atW0ibGEPF6OKewN///nfNSl+7AuTuek/Zbhmo8J7nkvvUhLsUSndX2rLC1RtvnAjMKzamyjvvvFNl/xKjJgFRX5ftGLEQ8VnSjRa+LuU+++yj2f7nP/9J112rs6qBDkU307Wx9aeddppannzyybbGFmI/vh3BFkLuYtuokPG95PiNue9lyvmamH9kUxP+KtXGfHs777yzfwT9S/LHa3SUL+u/Sg0CCCCAAAIIIIAAAggggAACCCCAAAIIIIBAqQskAhWBh6KDxx13nIJ5yvq64447Jk2apLIy6v797383btxYW5Ep20a5VopU+bsrfU1pc+qo+JkS1L788suHH35YkTa1fOutt9q0aaPgmb9XLjWa3oEHHqjBFY276KKL9NttBSoUadMv/RWtUTbhlClTFLCxv/W299LmW6pX4Kdy5craN+6xxx774osvPvvsM01Ym8wpkKPd1A4//HA9u+3iLijtbMWKFQp6aWS1ee211/r166deTz311CWXXDJ69GhFa5TSp0iAcuaUw6fg2aBBgxTkE4scfvzxR/dopvzCCy9oxT/lJjZr1szK60FUbtq0qeSvuOKKQHklDmpMzV95iso11MvSlPRourXyurRUoEZQDDVdapceX9lCjRo10vhaStFOTDLKlZStrQks2GF198AGplJpnSqsXLkypE2MoWJ0sRPQx3P77bfrVAuHKudVb0ePoJeuFFjP563woZpJQzEV291f0GKqqlQ6pv+SXp+yUTWssk6VHupvYGvMApt77bWXstb0k6jYrRJJFTbWz5E+WtvMU4j+LJ6OEU+VYHrfffeFLIuqnx0zVMYVg/XjoB83NdZPiv/u8R7fP074XWz7KO8ll2/M3sgW8jgxO2a2Bf1zof9uQDsRDh061N1X/6927bXXqkb/1If/OLt7UUYAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAoJQFPhNPmkynStummmypZTfEtTxtloWmHKrMD2WWXXWav2r56fkWklHBjL5nCf//7X5NOp33a7CXbK3YGoQKQJuykX2dr9zU7si3oFgcccIBmpRCL4me2XjmFigapXotqzpgxw9bbgpLqFDCzr9OfQahLCr/Z9qagMKHodEmrUCqYpG3GPA10XxM+uf766+0l62DklaCpBS3tVVNQjXZ3U8ROg7vldVXbiZmbaqFUxR09HXU6efJkc9OOHTu6ExDtfTWmHtAkPrq7m1cmCnelv6zXpxF0KOHSf9XWmE3XFBuzNf5CjKFidDH31VeqdWXNzP1/K5NSgRw7QxO1UjP3V2Sv2oJejdoccsghtsYWFIXVJeWPKtpkKtNlEJ5//vn++dgavWUtAmyHNYWsnsXT155mTDuzLQMLf/vb3zRJhVoDr7orTaajIrLuSluO8fi2r7sQfhfbMsp7if2N2bu4C3mcmHtYdznKq7z44ov1vvTfNEhA//mCnnH8+PH6byZUqX/hlcrsHpAyAggggAACCCCAAAIIIIAAAggggAACCCCAQIURSJtBqLigYjmXX365CQTq98X2UCBKYar+/furRtvpffrpp/aSKShQp9xB/y5l+oV1jx491EZbrymhzdMr9qlyBJctW6bo14QJE5S26B9H8RjtTag4kLZnM8s/mjb65bgyh7bZZptXX31VMUJ/R+XbadO1zTff3H/J1LRr185kRrobKKp01llnqUaRVOVaKafQfVVl+ZjtDLVUo+eSTiX/z3/+U2l8JjLnbqAahWYHDhyoSsnbFS/1OcpWmzi2bdv2gQceCFz1VIusPv/88wqIKv9M+ZHuYU1Ze90pcKsYqv9SVjVm/cx0XRQxTXfJXx9jqGy7KCVOAWbdWp/HiBEjRKrwqtIlr7vuOn3AysJUHqdCnmZuWr7VbD34/vvv+2dra5SuqrL/U9T3OWTIEAncf//9NWrUsO0DCzYYqS9TuaFKBtXElKiqnzt9BqpRyqy+XnffrJ7F3TFfZQWh9QlpNBMmDBlWz3Lvvfeqgf+nw/SK8fj+22W8i+mS1XtRl2y/saJNzH+jjDX6p1gJ0PovBvTiFNLefvvtjz76aOWhKldVqcz69yTjCDRAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKEWBtAFCZfZorc6QR1I0QusfKs6nSJWnmYJV6eJAJrlKS1lqFzdPr3in2slPazCq79133x2yqqFWGVVmzJgxY7TAo8KEaq9FUBUXVEGBii233DLd3bW0o0l6C2xgdhHzXzrppJNM5SmnnOK/qprjjz9ef2sVyq+//trTQPHF8PiKYofa4lHy+uW+6asFSKdNm6a4hVbF9IcV7fhKozTv1LOioGmgcGlg5OPggw9u3rx5xoCWvUsJFbRPnpbM1YS1DZ4iUtppUp+0wquHHnqoPm99IVpKVHuw2aBy9erV27dvr/YKkCubM/BJFVZRWFGXtAysu4GWolXYWKFcxYaPPPJI96XAstnMr3fv3tojU1+RwtiaWKtWrbR4rPbnq1evnrIYr7zySts322exHfNVWLRokRj1WeoDVipq+LDDhg0TiLQVYg9sme3jBw6S8S7qle17CbxRtpXlZ2LKZlY40D//xYsX678nCF8K2N+LGgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFSEUgbIFTuYLogn3k2pVIp2Kay4nMKe7gfWBly7lN3effddzcrYeYrQKjd/jS+dn3ToqbuG/nLCvaojQ6TJGfCivvss482/PM3dtfoMdNF3ZRS5m5pyzvssIMp24K9ZArK1DEF/051iv+Fy2syp59+urpbefMsWrezQYMGnht5TrX1naKAWi/UBGDcV/fcc0/3qS2rsdYeVH6hrakwBcX5FNBS7qD21TOLzbofTd+qyXJ79NFHtWysuTR48GC1VFhaUUN/jPDDDz9USE8tFQJs0aKFezQtKamNJxVv1iaU7vp0ZW3mpwC2IklmRVl3M+UmmkQ9rdmrwLC5FONZ3GPmWNbnpA3tFPjXAz7yyCP+tGP3+Ep1NbmzSh9M96ln+/ju8U05yl3UMtv34r9RtjXlZ2JKddVXqmWZFanVfpCKMStcqlNtQKivThtzKnyrdWuzfUDaI4AAAggggAACCCCAAAIIIIAAAggggAACCJR/gbQBQiVRZZy98tjURgsweqJcSm9K11fxgG233VZXtfpfujZZ1ZsFTs2mWVl1nDlzptprEdGMvRQK3XvvvQObmWfxX7K5jGZzRH8D5SyadD3t+ee5Gl1e7EZ+zpw5GkQpkuINPxS/0XKCaqxggOe+WlTQU1OxT7UA7NixY/WMWk1UqYGBD6s4n+JeuqTwiWnQsGFDbQ+psjJWtcin6pXJpw0FFUYdMGCAcjQXLFig4Modd9zhHlAL1SoGqVczfPjwkBVr3V0UR9fd1cVdacuKc2vNWL1KBS9VGe9Z7Gg5FiSgnyP9JOrrUvakkh3DB1QEUUpqli6/Vt2zevzA20W5S4z3EnivrCrLycT0zWh5ZK1S261bN+3A2r17d/3nDvo4FX6+5pprVKOsa/NVZ/V0NEYAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAoCYHgAKFy1NKFTNxPpRQrc2rCVPaSf/dBe0mF2rVr62/9etpdGbv8/fffq68NyEUfx3TcYostonRJlykYuCanBrT1tuC/S+CliPLKhjQDGvkYWT6KaXmmFDgfT5sop550Uk8XZex5akJOYwwVvYty1MwKilpDNWQOZitBrcRo22gB2NGjRyt8olVJtZZso0aNVFaI+uabbzY5hYoUupNoly9ffvbZZ6v7BRdcoJV77Tg5FhQg1AgK5Ojv2M+S4xzUXTJ69q+++koO2iIxYw6rupilccVoNnSMNwf34weOkPEusd9L9G+syBMLvF26ylGjRinvc+utt1aarD9LdbfddlOyrPrqar7+Y450M6EeAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoPgCwQHCtWvX+jPM/JP78ssvTWXIHn7+XumSovwto9TUrVtXzTwRyigdTWhQ6Y9RGisAE6VZ7m0kb1VDRrPzMfImZVOLW6p7xCPjwqohdw+8pCCZqTdbPAa2UaWiMvo7PC4bY6gYXUzYQ1/jjjvumG62qjexWDNt2+zUU09VdFA77SlnTsEV3b1t27bmLey7777urQHVRYuRKmFO42j7QDtCSEGxcy1G6t+c0tNFK6OqxsS5c3kWz7BZnU6ePPnwww/X7oNNmzZVtlm6BXXdY2qPRi3QqmVa0+1TGOPx3eObcsa7qFm27yXGN1acifnvEqVG6warmSLW5r/Y8Hfp3LmzKvUfH3zyySf+q9QggAACCCCAAAIIIIAAAggggAACCCCAAAIIlLRAcIBQj2Qyk8Kfzex/phhVjAS+8JGjX9XuWWo8ceLE6F1MS6XIROyoiJcNyGV7lxjtFXnK2Mu8HSvfrFkzdVH+lvZ+i3jkN0yru2txQrONn8JFIfM3Aa3w5UxjDBWji1n9VdlgWiEzZMLmqolDu5sprKhVRrW4q7aUU/iwZ8+eixcv1sKYI0eOdOdjjRs3TjXSvv/++/3bHLoHtGUFrbWQqcYPjxF+/vnn6mImluOz2FtnVdAWidr28ocfftA+dlpZVLloUbqbxD6lVKYLEsd4fP99M94lxnuJ8Y0VZ2L+u0SpUdBazdLlRuuSPirzXfn3K40yPm0QQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEyrNA2gChgh/hK+lpNUVFPvRsHTt2zHu0KTqZttFSYwXw/ve//4X3UpaVUmF0mBQ3k0KnREm7vVy67sOGDctqYcx040SsHzFiRHhLpVgp2qQ27du3N/J6BVogVBGjKVOmhPfVuo5aCvKcc84Jbxbvqkkge+utt0K6m6DydtttF9JGl2IMlW0XhUZMxC4c7f3339d8TAg23ZwVa9Hyobqq7QybNGnibvb444/rVD9KrVu31svyHxdeeKEaKP1Ol7Spocp6ELON37PPPuseylNW9p5qtOuh/s7js3juku706aefPvbYY7VGa7t27bT5pc2uS9fe1OvtT5gwQTHsiy++OF3LGI/vGSrKXWK8F90l22+saBPz3CjKqQktmzBzYHvF8pctW6ZLEUO/gYNQiQACCCCAAAIIIIAAAggggAACCCCAAAIIIFA+BdIGCJWOphhhyKRvuukm5bEpLnXJJZeENCv0JWUQdurUSXfRioVK4Up3O22516pVK+0M1717d+3zp2baw0yZTyootBOy0KgWe/SsGJnuFvmqf/755038L92A119//cyZMxVP6tu3r2mjhS61GZ7KJ598csiGYXqnd955p1LitEJmusFzqe/atau633XXXelCy9qpzsTblHkWfqMYQ2XbpWrVqscff7ymce21165atSpwPkqSe+2110R94oknBjYwlWeddZaSCLWX4aWXXhrSLPql0047TY0HDRrkWdrUjvDwww8rDKZIm964KvP4LPYWIQVtX9etWzcFqvXVKVIYvueoe5xbb71Vp3pT+mLd9Z5yto/v6R7xLp5eUU6z/cY8YxZuYp4bRTk122Eq9dNEAf1dnnzySVVqM1oTt/Y3oAYBBBBAAAEEEEAAAQQQQAABBBBAAAEEEECghAUUy3EfCuGYh1HsQVGHwYMHK3nO3UBl5Q7eeOONJsymiIi9avt+8803ttJf0HZlusXQoUPNpYi9/OPYGi3zaLbiU7BQaVW23hbmz5/fvHlz3VRz1s5btn769OkmtqGOU6dOtfW2oNwysxJplSpV1F0xSHMp45yVWaX2OrTdmh3NUzCASh3zjCl5XVLUSs6eLlrN8uqrr1YDjazMM/dVPaPZA++www5TWqT7kim/9NJLWiNRHXv16uW+mvFZtMmcIqkffvihu1dgWbsnmodSAPLnn3/2tFEQTjFaTaBly5aeS/5bxBgqRhcFhs3quAp06ZV5ZjVr1iyzAeFf//pXzyX36ZAhQ/RQ+pDU3l0fsayQrbpL2N1eccHtt99e9coN9U9M37BJ/7riiitsr7w8i0YzGY2ej8TeRQVNWBFTzU0/Dv5/HNwtPWV9aebTDfwhdTeO8fi2e/S72C6BhcD3EuMbs4MXdGL2Lu5C+KvUz+Oee+6p96gkbP3D4u6osnKya9asqavXXHON5xKnCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAhVAILH4ofuw4SKlD5rf5h966KEqv/vuu0uXLn377beVH7bffvvpF8c6lFbljhDYvkUOEGr+WtbSbGmmOZ9//vlKlVM2oZbIUwhw4MCBZict7QynZUjdD6vy2LFjTfBPka2LLrpo0qRJCrSoo55X+Xkm3KUMRZPSVJwAoUKnRl6rR95zzz0KUkpeD6iIhV2+Uqs7+sOHihsZBEV2+/fv/9xzz2npS70UrVR53HHHmaBOmzZtPMGAjG/NINhApgfQc2rCKvo2lKCpbd6EqTwzZWEOHz7chlr9QwXeIsZQMbooTcrI7LLLLlrcVQHdFStWKIKlBFnlTulBGjRooHiV5zHtqWKxZp3SO+64w1ZmVTBz9gQINYJSu8zI2o/wwQcfVPRRuaH6sPv162c+j3322UeL5brvleOzmKHCo0r/+Mc/Ej/5jjNgwAD3raOU+/Tpo44KEkdpHOPxzbBZ3SVkJuneS4xvrDgT8z9L+KtUe213av7122OPPR599FF9zIpGK8dXOcrmv5zQP0H+f2f8N6IGAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoOQE0gYIFeRTYMnshfZHRCDlL+Wi3XLLLb///rv7gTOGmkzjvGcQmmGV3KNt3lJm6TpRXp07d9A9beUOaulRV9uU4plnnrl69eozzjhDtcUJEEpeq4zWr18/ZR7/f6Lgn0Ke7ris+1m0o9ghhxzy/21T/leLwSp0qnCdu73KGd9aYPTOM4j7VBEUE1pLuf0fJ0rXU9jS3diU090ixlAxukycONEEL/0TPuGEExSd9U/Y1Kxdu1bhc/XSh+f5WUjXxV9vAk7+AKFaKryt6KB/VqpRUqMCmf7RYj+LHSokqqTnDZxMYKUn8VHrWJoE1meeecbeK7wQ4/Fj3CXdHELeS4xvrDgT8zxLyKu0LfWfRCh/OvANaj3VhQsX2pYUEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBCqSQGI3vnSH0tQ+/fTT0aNHjxkzRsklyqtTKp5CKe3bt9ema2ZtxnR9i1+v1SC1XZxSrB5//HGlHyl5TjEbraGnX3937tzZ7FMYOCtlyWj9TG2lpgQsBREXLVqkjoqMKqao6KDZqUvxG/VNF3sLHDbbSoVPTBhS0bV27dpJXvvMPfHEE4r5KQ+vdu3au+666zHHHCP5dLFD3bFRo0bK8lR8UQhK1NPv95Vtphw47fmnkFK6SEC2Uw1vrz0dtTDmyJEjlUH49ddfKzSivEbl56lSczDZnOEj2KsxhorRRUueKpVKUR99A1pZUdtVagFP7bt2+umna/VFOxl/QVvKSbtGjRpKPTRpiP42udQolK63r9Qu7fmngr5MTUwhSTGm28Qx9rPkMs8ofZUXq5Dh7rvv3qFDhyjt1SbG48e4S8TJuJvF+MaKMzH3JCOW9S+btpJVjrj+kde/OfqPIfRvpjKVtcek/v2POAjNEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBEpOYCNFO92T1mqQJmlJeWwhgSh3F8oIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIFAqAhuXykSZJwIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII5C4QtsRo7qPHGCH6Uo3auG7NmjUxbkEXBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBDZYgXIXIGzdunXEl6Hd9SK2pBkCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCBiBchcgfO2113g3CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQIAFvgHDzzTfv1auXbla9evUC3ZJhEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgrAQ2Wr9+fVndm/sigAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggECRBTb23G/evHkb/XEsWLDAc6mETjX5wKeoGE9XnBdRkazmzJkzYMCA/fffv27dulWrVt1pp506der00EMPrV27NlvMFStW3HDDDQcffPCWW25ZrVq1hg0bnnrqqeHr4hani/tBBg0apO+/Zs2ac+fOddeb8uLFi81PR/jfXbp08feNLpnLXdz3DX8Wd8tXX331pJNO2mOPPfTgzZs3v/DCC0P+Efvmm29CHl9v1j1yvp7FjDlt2rTKlSvr7i1btnTfxV3O6lnUMdtvLKvHtxPTj4wHrXfv3vYqBQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFSElAGofv46quvzOz1G2R3fWmVNfnAp6gYT1ecd1FhrG655ZYqVaoE/kw2bdr0k08+ie6psM2OO+4YONTZZ5+9fPly/1DF6eK+70cffWSe995773XX2/KiRYsCH8FT2blzZ9vFFLKSjH0X900zPotpvGbNmjPOOMMzf50qUjh69Gj3gLb87LPP+tvbGkWRbUsV8vIsZsBffvll7733Njdq0aKF+y6mHONZYnxjWT2+naQwLZEpaD1qe5UCAggggAACCCCAAAIIIIAAAggggAACCCCAQAkJeDMIPb//5RSBkhZQ/tnll1/+66+/HnHEEU8++aQix8uWLVNA5cYbb6xRo8aMGTOOPPLIL7/8MsozPvbYY0cddZQSKxs3bqxIycyZM5cuXfryyy/37dt3k002GT58+IEHHrhq1Sr3UMXp4r6jwks9e/bU87Zv395sJuq+asr16tVT6mS6QyM0adJELZWE5+6brWS8u7jvGOVZTHvldD7wwAPaNvWmm2767LPP9IonTZrUtm3bn376SYFbRRndw5ryBx98oMIJJ5wQ6LBy5Up3l9yfxY52zTXXKCZtT/2FbJ8lxjemm2b1+HaSp5xyiuU6//zzbT0FBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgdIT8AQzK0beGBmEntca47QCfAlaYVJBI/1MXnXVVX4BRfj23HNPXVUkyX/VU6NY4FZbbaXGCjgpCcxzdfLkyYoh6eoFF1xgLxWni72dKQwcOFDTqFOnzrfffuu5FPF0/PjxGmHzzTf/4YcfbJc8SpoxA+9ib2cKEZ9Fq54qQKs5jxs3zjOCoqSqVwzYU6/T7t2765LixP5L2dZEeRYz5jvvvGOm2qFDB93dn0GY7bPE+MbMTHJ/fK3gqkcggzDbr4X2CCCAAAIIIIAAAggggAACCCCAAAIIIIBAOREgg1C/5eaomAIK/6xevVr7BSory/+E2qxu1KhRqn/ppZemTp3qb+Cu6d+/v4Ixu+2221133eVfsPSggw5SvdoPGTLk3XffNR2L08U9yffee+/mm28209h2223dl6KXb731VjXW3nK1a9e2vfIoacYMvIu9nQrRn+Xtt99et26dsh5N1M09iALDOtUbUQN3vcomhc7kSnouZXua8VnMgIorax1UzUS2xxxzTOBdsn2WGN+YuW8eHz/wQahEAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKOcC2QUItb7cQw89pHX5GjZsWK1ate22205JMFdfffX8+fMDn1PrMW70x6EMJEVEH374Yf1mfJttttEWX9rLrVu3bk899VRgR1upxRK1eGPHjh0bNGigXuqrlQ+12uHixYtNGy3wqF+4f/jhhzrt0aOHud32229vrqpgarT8ox3TFPQs99xzj1aeVO6XRtYTde3adcyYMZqnp2Uup6+88so555yjTLVatWopr0vBqtNPP33ixInhY/7++++ayamnnrrLLrsoB06hGo2gcV5//XXT8cwzz9RznXfeeebU7fz111+rpR5HD6VHa9269ciRI90PNX36dIntuuuuGrlu3bqHHnrobbfdpkBa+JS0WuOwYcO0xqZ5EYo/tWrVSpvS2ReRrnsu38x3332nr2vfffc99thj040fUm82WhN4ujb777+/PmBd1eqj6dqoXmtdPvHEEypofUh/dNB01MejL1POjzzySNG6mFubvxV/0uKi0j7ppJNOPPFE96XoZcWNtGhqpUqV+vTp4+6VL0kzZrq72Dtm9Swff/yxOu600062uy3oI1dZ3/bcuXNtpamZPXu2CrkHCDM+i73vgAEDZs2apR+ff/3rX7bSU8jqWWJ8luZ2AsnX43vmzykCCCCAAAIIIIAAAggggAACCCCAAAIIIIBAyQgopOE+QhaWfOONN8wv3P3PpnXzFFFQMM89lMp2NG0DpkiVv6NqFKJTbpanozlVdE1xxMBeW2yxhTbfUjOFuNRAAQyVTzvttMDGqjzggAPUwM5HGWP77bdfYOPDDjts4cKFZgK5/P35559rqMBbqFI5ZzIJHF9z23vvvdN17NKly5IlS5SKpAbnnnuuGcE+l+JYNWvW9Pft3Lnzzz//rMaDBw9W+MffQM4KTrjnY8fUeq0vvvhi/fr1/b1Us9lmmylrTRFNd19bzuWbefPNN23URx+PHTNiwYY8ta5jSBcFmPUUilWHtLGbxinAE9LMBNVatmypNsXp4p7M3//+dz2IArfff/+9uz6rsvkJOvnkk9298ihphg28i/uOWT3LnXfeqQffeeed3SOYsj4/XdLh+RfGZHnqJ8XfJduajM9iBtR/E7Dxxon/GkPxV9WYOfuXGM3qWWJ8Y2YyeXl8lhjN9lOhPQIIIIAAAggggAACCCCAAAIIIIAAAgggUK4EEr+zjnIocbBNmzZffPGFAnLKG1Mqm6Jo+g21Uq+UO6V18+644w7Fw5RnFjiaAlTqomS1sWPHKsVNW20pvGfynF577TVtEqacIU9Hk26o3Dgl3l133XXPP/+8IlXTpk277777lIaoDdKUKaXcOHevBx98UBlUOmxwSwVTYxd+NO2VBKlEOiWQKaKmW3z55Ze6nWJvuvrWW2/pSRVOc4+cbXnSpEnKWdRQisZddNFFClRoTzjNX3EChZGUTThlyhRFkmwAw46vfdRUL9jKlStrQzspyfyzzz7T9LT7nWIMAjz88MOFb7u4C8ohW7FihYJeGlltZNuvXz/1UqbmJZdcMnr0aIVeBKKohl6c8j4VPFM6poJ8QtBT//jjj+7RTPmFF17Q4o3KAW3WrJnesh5NI+tBVG7atOmqVauuuOIKvUrFCD19c/xm9PhK/GrUqJHG1xKXdnDJKHtStrYmsGA/RRNCDmyjSn1d+nvlypXpGqheITf9rZsqChXSTGuW6qqyHovWxU5GL+X222/XqRZBVcRdL1RPre9EObL+92J7eQr6HvS9qVKfivtSHiU1bLq72Dtm+yz6bvUfKOiflKFDh9pBVNC/s9dee60KjRs39nwDZoHNvfbaS/9hwXHHHac4tNJtFQLXvwD6AXQPEl7O+Cymu35GlPKrF6HUXuXghoyZ1bPE+CzNrfP1+CEPwiUEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB8i7gCVfa0JqiWfaSdsbadNNN9SRa9FIxJFtvC5MnT95qq63UQGuBupPJ7Gi6pKS33377zXYxhfvvv9+MfPfdd7svaQcys5ajQlMKR7kvmbJCgwqzKfymQ4ObDELbTJNXpQ73U+iqez6Kayo1ynYxhf/+979mQG0p57kU/VThRhN2UmRCD+LvqGkoo1HTU1hC8T/bQDmFCu2oXotqzpgxw9bbgpLqFDBLPNgfhz+DUNWK/Nn2pqAwoUEWqaJc2jLN00D3Na/v+uuvt5eslUDU/aabbtKShvaqKahG2/spYqf7XnbZZe6reflm9IAm8dE9snlBonBX+sv2G1DCpf+qrTEbyClsY2v8BRNQ0TO6X5a/mQTU5pBDDtGl4nQxc9BnrKVodevAQ8mXimP5Z+uvMXl7ii96LuVRUiOnu4u5abxnufjii/XsCoQrqKyYtyY8fvx4BdpVqdih8l89T3T++ecHWplK/Sun//7A0yXwNPxZbBfNSiMrSVehVlOZLoNQV6M/S4xvzNw9L49PBqF9vxQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFSFEjk2bgPGxayoTUF/JQ6pl9wt23b1h8isn21MKYJbilNzVba0bSipq30FMxGesrNUmabvWR+ub/PPvv4Y4q2zf/+9z/7W/5sA4QK3bkDmXZMFZTro2GVVOSej7tBxrKCmhpBIbeQ0NTy5ctNUEe769kBlT+kjtpnUVlottJTUKbU5ptvbh7cHyBs166dp705VUvTJV0DbfWnBkq0st3tu1O9stNsvb+gsKLaKBJjFynNyzej/eGUmeq/XbYBwhBMDW42hAsPECoDzISrzaq2/imZGrOIrgInOi1OF3NfJYmal6svasSIEUo/VRRfGZbKu9VGobqkT1FbRaabtqnXB1mjRg01fu655zwtbYAwd8mQu+TyLPpRNUvFGgf7t5ICFSn0PI5O7dq/isQrz1X/CYLElHTbv39/83VpLWUllfo7umsyPotp/Oqrryoqr0MF2z0kQBj9WWJ8Y2YCeXl8AoT2bVJAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRKUSBzgFBLg+oX7srO0SqU4U94+eWXq6V7Yy0bZFLcIl1f7dVnfqFv9+RTrFE1+pW61uFM18vUa5VR0zfbAKFWI0w38syZM82YCrSkaxNSr6cw3ceMGRPSTJeUaKg2OkySnFZPNR21yGF4R2Vbmpb+AKGiHYF9zUtUr1GjRgU2UMKiGdO+ZfvuFPdKF0w1QylsbDZ0VJKoqcnLN6Ps0sCpKrzRvHlzpU8FXrWVeQxraUyz/Kziyuki1loC1wBqhUwzh+J00Y+PQrO6tTYO9Me0tDitWRZVPylWJrCglWY1iFbd9L/rPEqG3EWziv0sWi7YpOSaV2D/VrRPCXladNfzyGZvy969e/vfplJ+69WrpxG0FLCnl+c0/FlMY6UMml1UlbTn7h4SIMzqWWJ8Y5pGXh6fAKH7hVJGAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRKTiBzgNDkJx199NEZn007ximOqN+ta78609gGmT788MOQ7mZBTmUEmjZm5zDtphbSxVzS9ngmGJBtgDBkgUoFSMyCnP61OjPORw205KampO3oojR2tzF5eEqadFcGlrVfo8lz8gcItdZrYBcFIw2UQneBDczOeWrz/vvvmwb23b300kuBXdyVZgM8JSCa8FJevhmtFem+RbblPIa1dGt92yZBVgmv/qiSopVKVpOedtO08yxOlx49eui+yh1UPpm9tbugxDXz6idMmOCud5d//fVXM//AoGy+JMPvovnEexZ98+bVKLqpFM/Zs2crIqg4n/4ZMQmU+k8WPDiaiVj8oVBjopi9xPRPmf1ZcFuZcsZnMc169eqloRSQ8wQp0wUIs32WGN+YJpb742sQAoTmFfM3AggggAACCCCAAAIIIIAAAggggAACCCBQogKJeF74oTUt1UAr9f2xTl7YX/o9uH7nrsb6Hb1nzJo1a3pq3KdmAzzlP5lKpT2poNX/3G0Cy/vvv39gfcZKkyQU2ExPuO222+qSVh0MbBBe+emnn6qBWSI1vKXnqslctKv/ea66T7Xc5d577+2usWUzc3tqC0ZYpyYWa+ttYcsttzTBXaUz2kpTOPTQQz01/lOTQagoowk05uWbMSEr/73KpKZhw4bahVG3VvrmgQceqECU9iNUfpgizQMGDFD6moLi2ovxjjvusNMrQhdFesaOHas7ajXR6tWr21u7C4pZmqVrNWd3vbv8yCOPaP5a2/aUU05x1+e3HH6XeM+iXsqiU/yvW7duyoLt3r27VgfVGrz6l+Gaa65RjXYqNe/I/Sz6LwDEop90d6Uta3dSLYmsf8oeffRRW+kphD+LaazI+n333ae7DB8+3C4L7BnHfRrjWWJ8Y7pj7o/vnjZlBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgVIUqJRx0qtXr87YxtNAgRNPjcl481Ta06pVq6psQ1Pff/+9Ts3SfLZNYEEpa+qrjLrAqyGVJrUoXYPatWtrpU39vj5dg5B6M3kbkAtp6blkOm6xxRae+sBTRUGUtea/ZIJ8IfXpGqiLLpn4rru7Xly6yJO7mVnHUjUKEOrZ8/LNhEzVfeuMZYXuQ9pom8OQq+5Lf/vb3xRGveCCCyRv17Z1N1CkUGuQumsK3UWhdBNWP/jgg9339ZQVLVPCnF381nNVp2YjRs3WbLXob2BqcpQMv0u8Z9GSud9+++3WW2997733KkDrmbmykAcPHnz22WfrqmKoChZ6GqQ7VYBQ6xvbdXf9zcKfRe21Q6Huq4I+mCOOOMI/gr8m3rPE+Mb8t/bUZHx8T3tOEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBEpOIHMGoUm2035dayMfHTp0yArCk8pjgmSzZs3KOIgy1WJEBzMO65lPxvbuBopZ6tQk0rnrM5bNUy9ZsiRjSzUwSZZ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opUfFP7QBm+fQbnDHHpt4HK2SqpUetfroV18lkgvffz9g5dL773c++CCxn1yRN9LzzNl9qpw8Lf2q+Jz/0HqVHTokcgS1/5+2ndPysNoUUDE5zV+P6T70Blu0cEaNSmSeZXXIU3ra79AeWpT10EMTIUN9J1q8VEEvZQoqR00hK8G6D81Bi7Iq6VD4+T3K8KNVjFzZeGvXeh9In9ZxxyWCf9p3UPv/ffdd4l0o1U/vYv78lMZffOH85S+JRWIPPDClPuOJbqolXv/zH2/DypWdgw9OrGG7666JTUO1y6burpTft992Xn89sS2i+1B8UTsmKnyrz4ZjwxQgQLhhvneeGgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQSBG46qqUU23FpxBCzZp/ViqepI3TFHh76qk/a7S04zXXOGPGpPQq8xMF9nr1SqwX6j4OOiiRsKUYVaU0vxFXLFDxnocecrQwqT0UOFT8RiGxLbe0dYmCVnT87LOUGnPSrFmye8eOwdvI7bBDQMeIVRdckFgp1H0oRHfaac7llzvaWy7wUCRJITRlUrqzBvWM3bolIkPaDC/6MXiw89tvfzbXfbUOre67444BA6ilIlJ//3tKepyWNhWmMjsVwszjUVYf7Q03OFdf7X2OI45ILByq+Kv2X/Qf+sDee8+55Rbnf/9LXtT+kYqwumuS19KXzjgj8a26jzp1HH0eF13kaL9J/6F6/UQoQqn9OCdOTF7XZ6/YpFaCVTiTYwMUCPpON0AGHhkBBBBAAAEEEEAAAQQQQAABBBBAAAEEENiABWbPTgnnaE817VJmo4MGRqfDh6dEIJ57ztGyk+XnUPDj3HNTooMKnDzySOLRFIZJFx3U/PfdN5EfqbDfAQekPI3yJtXRs9Zo9eqJPef8f9xhoVq1Ahqoi/rGOxRe8kQHNWeFMPWa0kUHdSM9suavuJRivdWqJe+scJGCTEpri37Y6KBSKidMcO6+Ozg6aAZUZuE77yQSUhVKtIdihIoa5vEoq49WKaoKjbsPZQ1qF0CxtGoVHB00jfV1KaAuGXdATj9BnTu7B8tQ1s6anuhgp07OrFnO9den/Gx6RtGLUF6jot36YJRjag+twdu+fWE3ibT3olDeBAgQlrc3wnwQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFiC7z0Usodr73WqVo1pcacKN6mrcvsocjZW2/ZszIuaLFQpcS5t8fTwpvvvuucdFLUiSm9T9lUypJ0H4quXXmlu6IMyorraDVL96HVPt9809lvP3dd2rIil9pSURvmudPLtGSo4lL+hVjTjvLHBcWW9Km0bh3eKnFVESmlnGpLS3fcVBsoSjhfR5l8tNqismfPlCC0on1TpjjKGY14NG+eyLBUVM8engi0rfcXFJL3fI3aClRJvVrLNOLRo0ciruxO/dSqs54nijgUzUpdgABhqb9B5o8AAggggAACCCCAAAIIIIAAAggggAACCOQqoOia+9CanOkObXLmPjwd3ZeKXP7b3xI7rtlDO6spVSvb/dUUFlVMyxON+/e/U/bes7coTkFbD2r1SPded+3aOU8/7Wy+eXb314vTRnSbbZbs9fnn3l0nk9fSlB5/PCX7LU2rZLUiTxdemDxVSZma+To8315xPlq9C3fWbOPGiRi5dmHM6tC7006NitVldSiJUx+5e/lcRQc98cIoA+68c+J7dq92q9zHPL6XKHOgTXkQIEBYHt4Cc0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBMpSwB1a0zy0ZGK6o02bxLZ29k/btukaFrVei4s++2zyjgrAKK1K+Y7xjn/+03HHQRWS0X57ZXWMGuVopVN7KLqjFSY32cRWZFHQYqTDhqW016Z0WmQy4tGlS2IfwWwPbdfn3sRRgTF3gC3b0dzti//RPv98SgbkFlskPrMaNdyTilpWhuW99zrKJox+aI3ZOXOSzZWzGCM6aPorg/Dhh1O+IiUNR09kTE6CUikLECAs5bfH3BFAAAEEEEAAAQQQQAABBBBAAAEEEEAAgXwIeNLRlFuW7lAKmmKE9k/DhukaFrX+sstSbqecv5Cd+VKaBp1Uruw8+mjKVm1aqvTVV4OaFrhOK6Z6trvTNpCKS8U+Tj3VOf74ZO/lyx1ZRTwuuihiw5Rm2rrSvcqrooOK5ublKPJHqzjxgAEpE7/zTmeXXVJqsjqpUiWxJaE7pzOk+88/O8oXtIe+AcUXczlatHD69UsOsGiRM2JE8pTShiBAgHBDeMs8IwIIIIAAAggggAACCCCAAAIIIIAAAgggECbgifMpV6mEjhkznMmTk/PV1oNnnpk8jVcSyNSpiX3+7B+l7hX/UCxt3rzkbY88MtL+f8kOQaWrr05sEGgPZShGOZSO2apVlIYBbbp3T6l0J0SmXMjypMgfrXaj/OCD5BT33dc5+eTkabxS/fpO376Ruo4f7yxdmmypYG1Imm+yXWipf/+U9EfFnjk2KAEChBvU6+ZhEUAAAQQQQAABBBBAAAEEEEAAAQQQQACBAAHPSqFKTiqhdCJtyOc+Bg5MWTvRfSmr8q67Oocdlvyz005Z9c5P42eeSRnniitSTuOdKLKlXQztoVUrZ8+2Z2kL++wTX7Vp05Rh8xUgLPJH617DVs/jibOmPGE2J0p+rV07cwf3l6DUw3jZnJ7bKA3xvPOSddOmOQsWJE8pVXgBAoQV/hXzgAgggAACCCCAAAIIIIAAAggggAACCCCAQAaBJk1StkPTaopnneWccYazZEmGjuXhsjtAuOmmTufO5WFS+ZmDOyhVq1Ye0gfNtDxEL76YebaNGmVuk66FVhlVqpw95s61xZwKRf5ox41LzrZ6dad9++RpLiVtYdihQ4YBfv89ZYvNww936tbN0CXiZXcSpH7qy2Qd3YhTpVneBQgQ5p2UARFAAAEEEEAAAQQQQAABBBBAAAEEEEAAgdITGDzYqVQpZdoPPuhoFccLLnBCtiRM6VAWJz/+6EyfnryxYieeremS10qttHixo/Q+e/zlL94XZC9lWzj66JQekyalnAaeRMlyC+xoKrfbLnlR2xDm6yjaR+v5zPQuqlbN10M4nTplGOrbb1NC9Z7UyQydQy8rudO9Uutnn4W25mLFEiBAWLHeJ0+DAAIIIIAAAggggAACCCCAAAIIIIAAAgjEEjjkEOfuu709f/7ZGTLE2WMPRzEJZbMpk6m8HZ5FEVu0KG8TjD+fhQtT+h5wQMppLic77ui4I3aeGwWOrJy5XA539zwGCIv20SpE5z4OPth9lms540frufsllyR2kczXn6++Ss5/1qxkmVKFFyBAWOFfMQ+IAAIIIIAAAggggAACCCCAAAIIIIAAAghEEujVyxk50tlsM29jrT04frzTsaOjbfluv9357TdvgzI898RO3HGvMpxVXm69aFHKMPXqpZzmeLLNNskBlKqY8ahcOWOTsAbujyqPAULdsjgfrSeGuu22YQ+b7bWtt86QG+q5e7bjR28f5UuIPhoty7kAAcJy/oKYHgIIIIAAAggggAACCCCAAAIIIIAAAghUZAEtXViujh49nE8/dXr3Dl5BUbvH9e3rNG6csiNa2c7fEztxx73KdmK5372gAUIFpewRJSykfLVcDnd8Me8B5iJ8tJ53kd/PbOONnfABly3LxT6LvqtXZ9GYpqUuQICw1N8g80cAAQQQQAABBBBAAAEEEEAAAQQQQACBUhVQdHDoUGfevPI1/wYNnHvucebPd/7xD2eHHQLmNnt2Iptw4MCAS3mvyrio6SabpNxTsZYKc1SrlvIo69alnOZ4UqVKcoA1a5LlApVyjC9mnFWhP1oPft5jnJ7xPc9bp46nolCnBAgLJVsux03dc7ZcTpFJIYAAAggggAACCCCAAAIIIIAAAggggAACFVJgyhTn8ssTf5Yvd2rVKl+PWLeuM2CA07+/89RTzr//7bz1lnd6N97o1K7taDs0z+EJBWWM8Hm6e061CWL44Vns0ZNQGN63nF/1rCm6ZEk+57t0aXI0z42SF0qtFPujzfigns/Mk1CYsXt4A0UHw1+uJ79Q6wAfdFD4kDGvuhM9Yw5Bt9IRIEBYOu+KmSKAAAIIIIAAAggggAACCCCAAAIIIIBABRKYPt05+ug/n0d5hArFlcND+Xlduyb+TJ6ciBdOmJAyx0svTaQS7rZbSqV7tzldyBjhS+nsO8m4X50ncuPZktA3XilVeOJ2URYCjf547oiU50bRBymfLWN8tBkfxLO35YIFGXtk0UDhxvAMQk+AUPmLu++exfg0RSBQoAKlWwc+H5UIIIAAAggggAACCCCAAAIIIIAAAggggED5E9DionfdlZyWkghffjl5Wg5LBx/svPqqo9Ql9xqe69cnkgs9hydAmDHC5+nuOf3pJ0+F97R+fceds+jPdPR2KJ1zBaXcj6Z803wdK1akLGxbwQKEVin6R2u7pCt4AoQTJ6ZrGKf+tdcy9NLdq1dPtpk5M1mmhEBsAQKEsenoiAACCCCAAAIIIIAAAggggAACCCCAAAIIxBRQyuDw4Sl9lU1Y3jYjTJnfHyc9ejiDBqVUP/ig49mPrVIlp2rVZJtcFmNU35Urk0MFlmrUSFluUbEWRb8qxqFVZ/fbL/koCtCuXZs8zaX0+uuOe99BBdIq8BHlo834+FpNd999k63efDOxLHC+jmefzTCSVv5s0ybZZty4ZJkSArEFCBDGpqMjAggggAACCCCAAAIIIIAAAggggAACCCAQR0CLiypl0H/ccIO/rtzV9OvntGiRnJVWEP366+SpKSmrzx5ffGGLWRdmzYrUpVOnZDNFK598Mnla6qX27ZNPoMBnxlSzZOvQ0gsvpFw+5piU04p3EuWjzfjUxx2XbKJI7f/+lzzNpfTDD87zz2ceoEOHZJvPP3emTk2e5lJSbPKxx/78U5F+cHIx2XD6EiDccN41T4oAAggggAACCCCAAAIIIIAAAggggAACZS+gxUWbNQuehnIKR48OvlSuart0SZmOP/Fxr72SDT791Pnll+RpViXlzEU53AFCtb/++pT0uCgjlNs27gChJnnLLXmY6fffJ5aKtcfWW6fkKdr6ClbI+NFmfF7PZ3bjjd7c2YwjBDa49dZIOa/HHpuy3qx65X5oS1HtIXrSSX/+eeSR3IdkhFISIEBYSm+LuSKAAAIIIIAAAggggAACCCCAAAIIIIBASQsoOqjFRUMOLYfoj7eFtM/LpVatnB12+PPPKadkHrJhw5Q2S5aknOrEHSBUdFDrMcY7IiZp6XYtWybvMGdOBuRk0/QlTVuLOloWFe67L33rgl3R4p977pkcXRGd3He/07aR7o0hTzwxJfKUvFn5LuX9o834uPvvnxJJ/eorZ9iwjJ0yNPj2W+c//8nQxlxWVm737smWTzyRazrpunVOnz7JAVXq1SvllJMKL0CAsMK/Yh4QAQQQQAABBBBAAAEEEEAAAQQQQAABBMqLwJQpwYuLuufnCb+5LxWovH698803f/555ZXMN/FEBOvW9XZp3Tql5oEHUk4jnmjxQ2UfRjw8CVX9+zvvvx+xa3Cz885zFI2zLBtt5Jx2WnDLgtZuvHEiIdJ9nHVWTrvfzZjh3HZbcrwqVRxZleKR9482CsI//5nSSnTTpqXUZHWibSAV83MHa8O7X3eds8kmySbnnOMsW5Y8zbZ0993Oxx8nOx16qNO2bfKU0oYgQIBwQ3jLPCMCCCCAAAIIIIAAAggggAACCCCAAAIIlL2AUgOPPjrSNAYNitQsX42UHmePpUud+fPtWXDhww9T6rfdNuVUJ8q922KLZKU2Ofvkk+RplJKiJpddFqXhn22UadetW7K9dkbs3NlRela846qrHE9QU5GhqlXjDZZrr65dUxLXvvwyEar8/fc4w/70k3PCCSkrvv71r457w8g4g5ZRn7x/tFGe46ijUn6E9Zlp5dJFi6J0DWijBL633gqoT1e1++5Oz57Ji7NnJz7yX39N1kQvPfdcys+X4t+eEHv0oWhZugIECEv33TFzBBBAAAEEEEAAAQQQQAABBBBAAAEEECgZAS0uesMNUWd7+eXO9OlRG+fe7sgjU8YIX/NQQZEXXki2r1MnZUFRc6Fy5ZTlENeudY4/3lF0KuKhzCpF+2bOjNj8z2aDBzv16iW7KPmveXNHCXNZHZpq377OP/6R0um44xKbtJXVoeDNXXc5m26avL+iO4oMrVyZrIlSWrw4Ebj94otkW+0+eOWVydPSKuX9o434+P/9r1O7drLt118nPrOPPkrWRCnpCz/9dEc5fNkeCuO5M4wnTXK0S6U2lczqeOihxPejH2R79OvnKIOQY0MTIEC4ob1xnhcBBBBAAAEEEEAAAQQQQAABBBBAAAEEykBg3Dhn+PAs7tusWfE2I2zXLmXpwttvdzw5gu55K8yp3dfsoWUJtQym/7j6aqd69WT15587CrNFSen77rtEdPDFF5N9I5aUUvb00yl5fkqFbNHCufdeR9utRTkWLHC0OKoe333ssotzzz3uijIoH3JIIkboPvQ56dE++MBdF1Z+991EHOu995JtKlVyHn88JaSavFYKpUJ8tFGee7fdHO3/Jz17KDP4sMOcESOipnXqZ+Evf3FGjrQDONp5NOKx5ZbO2LEpP1laCFebI0bMRFT8+5ZbErdTwR7KvvVExO0lChVbIOhf7or9xDwdAggggAACCCCAAAIIIIAAAggggAACCCBQXAGlA0aPAdipPfqoLRa2oEUmTzkleQsFDxR9ef75ZI0pKcymQIJnKcJLLvE2M+fbbecMHJhy6Y03nMaNE1FSd+qSu8VvvznKbdp7b+eZZ/6sVgxMXaIfCnUoTuMOWGqpUq2iue++zpNPhi3GqMjljTcmVvL0BFp22sl57bVyEUXr1cu58MIUCUUHFUXWmpPhOzV+9lni5So/zB3W1UBaNPXww1MGLK2TQny0EQW00OiQISltV6xwtDdk06aJ6F3Imp9KN1Sunj5p/SzYQ73Cc3ZtS1NQ+/vvT4noK0KpnxQlBYakHStnUfFg/SBccYWj7RvtoXinNvtUyi/HBijgCnNvgE/PIyOAAAIIIIAAAggggAACCCCAAAIIIIAAAgUW0OKiCuTEOLTQqDoq2agIxzXXJGIbdtVKBcyOPdbp2DGRGrXPPonUqGnTEvl5+tt9dO+eyF5Kd2j+c+empN/98IOjQNfFFyeCGQcdlNj9TouCLl+e2PVQI48Z46iBPWrWdEaNSuzxltWhtUBr1UqExDSsPbQDonby23zzROBT2Xi6r/ZNVCBHy5Dq1u+/72jRTndOlenYoEEiOuje684OWCYFhZG0oKsyOG2AR+9FRPqz665Ohw6JtV7lWbeuo09u4UJn1qxE7McfPlQA9V//SqykWupHIT7aiCa9eycWGj3zTEcRaHtooVEtpavP7JhjEhFZxcj1mem7UmaqfhAUcZ882bb9s6D8VNVXq+atDz8/8URHPx36W4FJe+jHU3923jmRqqufWd1aM9RPgaKSCnu/9JKzZIlt+2dhjz0Sqbr6YDg2TAEChBvme+epEUAAAQQQQAABBBBAAAEEEEAAAQQQQKAYAgrVDB0a/0ZHH51I/Npxx/gjROypQIXWPFQUzQaf1FHrWOpPukO5R1q9M/zQLmuKYTzySEorhSFHj078CTk22cQZNixlu7WQxp5LigJOnZqILH78ccoV3VeLQ+pPlENLp953n7P99lHaFqmNNiO87jqnSZPE9nXuuJRur50FPSujppuTwld6HYomVoCjQB9tRJkTTnD23DMR6v7yy5Qe+swU6tafjIdi1Y899mesOmNjTwN95Ar7KYSv9EH3MWdO1C9B81cmor4Hjg1WgCVGN9hXz4MjgAACCCCAAAIIIIAAAggggAACCCCAQMEFpkxxlEiXy6GMseIciqg9/HDK9mYh99U6h6+8kkhjCj+UrKZVQxUmVDJT9EMpTUp4Ui5g7EMZddpvTzEzZdRle+juCpwos6pcRQftUyiIq4RI5a4phprVofiiSLUwacWIDppnL8RHG11Vi4XK8+abE5mdWR16F/pnYeLEnPJTlSaoL+Haa7MO8m2zTeK/WtCKo0QHs3prFa8xAcKK9055IgQQQAABBBBAAAEEEEAAAQQQQAABBBAoFwJKH1QKYI6HNu0bNCjHMaJ2VwBJqyC2bx/WXsshXnqp8+abUWMbioWce66jnfC0KqMW/ww/Nt3U6dYtsdxomzbhDTNfrVLF6dPHUULVLbck9jWMcmiJTqUtaklGhd/K86GMUoUwFRzSBoRbbJF5plWrOp06JbIqlTuoJSgr2FGIjzY60WabJUJ9WkH0+uud3XfP3E9fuIKaWrpWYcVKOa/wqLtrndXZsxOfulY0zXhocd3bbkv8UJxzTsa2NKj4Ahutd2eMV/zn5QkRQAABBBBAAAEEEEAAAQQQQAABBBBAAIFiCCg6eMkljsJ7eTmKs9ConaryorSf2YQJiQVOly5NVCsVTzuWaWFDBfC0vVm8Y80a59VXEyMrpLFoUWKfPC2VqZE1oMIbRx2VSHHzJGNpC72ff/7zbgqHaA7xDj2INhpUzpZuqlvrjyaz1VaJDdiUbti6deKPAoQld6xb57zzTmIfO72yxYsTf/S+qld3lCUmVS3Cqb0ktY2lair8UaCPNis3LTeqdzFpkqNdPM3r0AvSt23+tGiR+MK33NI7pKI07t099RMRI3tVgygG/NRTjrZC1N31nX//fSJ+bL6Eli0TgX8l/nIgYAUIEFoKCggggAACCCCAAAIIIIAAAggggAACCCCAQN4EXn45D+mD7tksX545A8/dnjICCCCAAALpBFhiNJ0M9QgggAACCCCAAAIIIIAAAggggAACCCCAQEyB6dPzHB3UPLRtGAcCCCCAAAJ5ESCDMC+MDIIAAggggAACCCCAAAIIIIAAAggggAACCPwpoMVFa9cuiMb48YnlIjkQQAABBBDIUYAMwhwB6Y4AAggggAACCCCAAAIIIIAAAggggAACCKQIFC7V7+ijnXnzUu7FCQIIIIAAAjEECBDGQKMLAggggAACCCCAAAIIIIAAAggggAACCCAQLKDFRS+/PPhSXmpvuCEvwzAIAggggMAGLcASoxv06+fhEUAAAQQQQAABBBBAAAEEEEAAAQQQQCCPAoVbXNQ9yVGjnNNOc1dQRgABBBBAIDsBMgiz86I1AggggAACCCCAAAIIIIAAAggggAACCCAQKKDoYOEWF3XfsUcPFhp1e1BGAAEEEMhagAzCrMnogAACCCCAAAIIIIAAAggggAACCCCAAAII+AVeftnRHoFFO5Yvd2rVKtrduBECCCCAQIUSIIOwQr1OHgYBBBBAAAEEEEAAAQQQQAABBBBAAAEEykRg3ryiRgf1jMXJViwTTG6KAAIIIFBoAQKEhRZmfAQQQAABBBBAAAEEEEAAAQQQQAABBBCo4AJaXPSGG4r9jJdf7ihnkQMBBBBAAIEYAiwxGgONLggggAACCCCAAAIIIIAAAggggAACCCCAQFJg9GhH+wKWyfHVV86OO5bJnbkpAggggEAJC5BBWMIvj6kjgAACCCCAAAIIIIAAAggggAACCCCAQJkLTJ9eZtFBPXvxMxfLHJwJIIAAAgjkLlAp9yEYAQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ2JAFpk0ry6fXAqe1apXlBLg3AggggEDJCbDEaMm9MiaMAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQHwBlhiNb0dPBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBEpOgABhyb0yJowAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAfAEChPHt6IkAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAyQkQICy5V8aEEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIgvQIAwvh09EUAAAQQQQAABBBBAAAEEEEAAAQQ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}, - "execution_count": 3, - "metadata": { - "image/png": { - "width": 400, - "height": 400 - } - }, - "output_type": "execute_result" + "metadata": {}, + "output_type": "display_data" } ], - "source": [ - "from IPython.display import Image\n", - "Image(figpath, width=400, height=400)\n" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "execution_count": 3 } ], "metadata": { @@ -147,4 +130,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/examples/create_cascade_mesh.ipynb b/examples/create_cascade_mesh.ipynb index d5faee8abf78bdefcff74cfbdf32f7a03053976b..5ee4312c430649372c01f6d24c62734a1b76ca66 100644 --- a/examples/create_cascade_mesh.ipynb +++ b/examples/create_cascade_mesh.ipynb @@ -14,8 +14,6 @@ }, { "cell_type": "code", - "execution_count": 1, - "outputs": [], "source": [ "import tempfile\n", "import pyvista as pv\n", @@ -37,21 +35,27 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:17:10.529779Z", + "start_time": "2024-11-04T00:17:07.019539Z" } - } - }, - { - "cell_type": "code", - "execution_count": 2, + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "working with np.ndarray pointcloud. No dataarrays cab be used for postprocessing\n" + "Jupyter environment detected. Enabling Open3D WebVisualizer.\n", + "[Open3D INFO] WebRTC GUI backend enabled.\n", + "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n" ] } ], + "execution_count": 2 + }, + { + "cell_type": "code", "source": [ "profilepoints_file = importlib.resources.files(\"ntrfc\") / \"data/turbine_cascade/profilepoints.txt\"\n", "\n", @@ -63,46 +67,50 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:17:40.651746Z", + "start_time": "2024-11-04T00:17:10.531249Z" } - } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "working with np.ndarray pointcloud. No dataarrays cab be used for postprocessing\n" + ] + } + ], + "execution_count": 3 }, { "cell_type": "code", - "execution_count": 4, - "outputs": [ - { - "data": { - "text/plain": "Widget(value=\"<iframe src='http://localhost:46769/index.html?ui=P_0x7feafc7f6650_0&reconnect=auto' style='widt…", - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "311db48f9ca049b99bad6b400634001e" - } - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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- "text/plain": "<IPython.core.display.Image object>" - }, - "execution_count": 3, - "metadata": { - "image/png": { - "width": 400, - "height": 400 - } - }, - "output_type": "execute_result" + "source": [ + "from IPython.display import Image\n", + "figpath = blade.plot()\n", + "Image(figpath, width=400, height=400)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" }, + "ExecuteTime": { + "end_time": "2024-11-04T00:17:41.793198Z", + "start_time": "2024-11-04T00:17:40.652977Z" + } + }, + "outputs": [ { "data": { - "text/plain": "Widget(value=\"<iframe src='http://localhost:46769/index.html?ui=P_0x7feaf7752fb0_0&reconnect=auto' style='widt…", + "text/plain": [ + "Widget(value='<iframe src=\"http://localhost:36415/index.html?ui=P_0x7fa00e049590_0&reconnect=auto\" class=\"pyvi…" + ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "bd92d7fe8617423080cf311d815e970a" + "model_id": "f721927582ef44fb82ffa3b935ce1fab" } }, "metadata": {}, @@ -110,8 +118,10 @@ }, { "data": { - "image/png": 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+ "text/plain": [ + "<IPython.core.display.Image object>" + ] }, "execution_count": 4, "metadata": { @@ -123,26 +133,37 @@ "output_type": "execute_result" } ], + "execution_count": 4 + }, + { + "cell_type": "code", "source": [ - "from IPython.display import Image\n", - "figpath = blade.plot()\n", - "Image(figpath, width=400, height=400)" + "domainparams = CascadeDomain2DParameters(xinlet = -0.12, xoutlet = 0.24, pitch = .13, blade_yshift = 0.01)\n", + "\n", + "domain2d = CascadeDomain2D()\n", + "\n", + "\n", + "domain2d.generate_from_cascade_parameters(domainparams,blade)\n", + "path = domain2d.plot_domain()\n", + "Image(path, width=1600, height=1600)" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:17:42.521102Z", + "start_time": "2024-11-04T00:17:41.797673Z" } - } - }, - { - "cell_type": "code", - "execution_count": 5, + }, "outputs": [ { "data": { - "image/png": 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Pf/6SSy655pprnva0p+3fv7/yaLlcvuSSS7Zu3drX1/fBD37wQx/60GMf+9iXv/zlF1xwwUM94szMzNlnn33FFVecc84511577Yc//OFHP/rRL3jBC970pjetyu8TAEASOYMQAAAAoA41NDSsX79+9+7dCy/+6Ec/evDBBz/0oQ+tX7++v7//yiuvHB4efvzjHx9CKBQKIYSHjjN873vfe8sttwwMDDzhCU+oXNm6deuLX/zis88+e+EbDg8P/+QnPznhhBNCCM973vMuuuiixz72sf/4j//4t3/7tyGED3zgAzfccMPAwMBpp51Wef4ll1xy4YUXnn/++e94xzve8Y53hBBe+9rX3n///T/96U+PP/74ynP+03/6T3/+53/+nOc8p7+//8ILL1yp3yAAgASzIAQAAACoT5OTk6VSaeGV3t7ehoaGj3/846VS6dRTT/34xz9e6fYWKZfLV1555Vvf+taH2sGKpz/96X/zN3+z8MrWrVsXvsOjH/3oP/3TP/3Xf/3Xypu8853vvOKKKx5qByue85znDA0N/df/+l9DCAcOHPjYxz723ve+96F2sOIP//APX/ayl1199dXH9i8OAMDhKQgBAAAA6tDk5OTOnTt7enoWXnzMYx7z93//91dfffXJJ5/89re/vVgsHvK1O3fuHBsbe/azn33wQ3/0R3+08MuTTjpp0RPWrVu3Z8+eEMLPf/7z0dHR5z73uQe/yYknnnjKKaeEELZt2zY9Pf1nf/ZnqYP8/d//feWkQwAAIucWowAAAAB16Hvf+978/PyiO4KGEF7xilf85//8nz/zmc9cddVVX/ziF7/3ve91dHQses78/HwIYW5u7uC3rTz0kKampkVPaGtrm5qaCiE0NBz5/5j+qEc9KoRw3XXXbdiw4YhPBgAgKhaEAAAAAPVmYmLila985emnn97f37/w+vT09MzMzHHHHffqV796YGDgZz/72b/8y78c/PLHPOYx+Xz+W9/61sEP3XLLLUvMsGHDhq6urkO+/8zMzP79+0MIJ554Ynd39wMPPPCUg9x5552VJSIAAJFTEAIAAADUld/85jd/8Rd/cd99933qU59a9NBrXvOah44VzOVyjY2NY2NjB79DKpX627/927e//e133XXXwusDAwN/93d/t/Qkb3jDG972trfdeeedCy9u3779pJNOeu1rX1v58m1ve9tb3vKWn/70pwuf88UvfvGVr3xlZV8IAEDk3GIUAAAAoIbt27fvjjvumJ+fLxaLDzzwwG233fbxj3+8ra3tlltu+YM/+INFT966detHPvKRl73sZeedd961117b0NDwx3/8x4d82ze+8Y133HHHU5/61P/xP/7HM5/5zHQ6/e1vf/sf/uEfLr300k9+8pNLzPaa17zmJz/5yVOf+tS/+qu/etaznpVKpb73ve99/OMfP+OMM6688srKc172spfddtttT37yk1/5ylc+61nPKpfLX/nKV6677rqrr776Gc94xjH/tgAAcBgKQgAAAIAa9p3vfOeMM84IIeRyubVr1/b29l511VUXX3xxPp8/+MnPetazPve5z73jHe/453/+582bN3/jG9846aSTDvm2jY2NX/va1/75n//5mmuu+fznPx9CePKTn/yFL3yhv79/27Ztra2tS8mWSqWuvfbarVu3fvSjH/3yl788OTm5efPmD33oQ5deeunCEwo/9alPvfCFL/z4xz/+mc98Jp1OP/GJT/z+97//pCc96Vh+OwAAWIJUuVyOOwMAAAAAAACwSpxBCABQV771rW+dffbZnZ2dj370o7du3To0NPRIzzz11FNTBznttNMeesIvf/nL888//7jjjjvllFPe8IY3zMzMLD/ezTfffN55551wwgnr1q276KKLbrvttoWP/uAHP3j+859//PHHr1u37oILLrj77ruX/ysCh3f4/yqP6smH/9A4/KfT+eefv+jj6JprronwXxOISoQfGhWjo6Nr1659zWtes+j64T8WjioGEJcIPzEO8zeFI/69xh8zoFYc1YfGwMDAQ/9Rf/azn1306OH/buIPEhUKQgCA+nH99df/8R//8YknnviJT3ziqquuevDBB7ds2bJt27ZDPvlLX/rS7Q/3tKc9bf369ZVHZ2Zmnv3sZxeLxc9+9rNXXHHFJz/5yVe/+tXLjPfRj370uc997nHHHfd3f/d3V111VWNj4znnnHP99ddXHr3uuuvOPPPM7u7uf/qnf3r/+98/Pz9/+umnf/WrX13mLwocxuH/qzyqJx/+Q+OIn0733HPP61//+oWfSOedd95K/qsDxyLCD42HvOlNb2psbHzrW9+66PphPhaOKgYQlwg/MQ7/N4XD/70m+GMG1Iij/d/3xz3ucZX/ojOZzKKHDv93E3+Q+L0yAAB1YXZ2tqen5+Uvf/lDV+bn588555xzzz13KS//1a9+1djYePPNN1e+vP7669va2sbGxipffv7zn0+n08Vi8Zjj7du3r6Oj401vetPCi5dffnlnZ+fExMSvf/3rrq6ut73tbQsf/eu//uu1a9fu27fvmH9R4DAO/1/l0T75MB8aR/x0mpqaamj4/9u72xipyvMPwGdmWUNhF4Ra2MWCa9RYo/GDJhptq3WztkRRiYqxTau0RrEGNQZLa6RibJu0saKhlRiIGGUD4gtEiVbT0BeTtkaDICqN/YO6ICKJ1YK27BbZ+X/YZDOcM3tmZxndLvd1fdszzznnPjNz7nme/e1L8Y9//GOdrxCoq/o2jT4bNmwoFourV69O7Z7TFmoqAxgudewYta4UUusa0wwYEQ7l872pqamzs7N8S87axESinIAQAOAw8be//S1Jkq1bt5ZvXLVq1ejRoz/99NOqu992220nnXRS/5fPPPPMwoUL+7/cuHFjkiRvvfXWkMtbt27dqFGj+ifoff75z38mSbJu3bqVK1d+4Qtf6OnpKX907969DQ0NTz/99JBPCuTIvytrHZzTNKp2pw0bNiRJsmvXrnpeHlBv9W0apVKpt7f3zDPP7OjoyJ4rpy3UVAYwXOrYMWpdKaTWNaYZMCIcyud7NiDMWZuYSJTzJ0YBAA4TjY2NM2fOnDp1avnG0aNHd3d3f/zxx/n7dnd3L126dO7cuf1bLrjggvI/9vXUU09NmDChra2tf0upVFq6dGl7e/sXv/jFyZMnX3TRRevXr885xY4dOyZNmjRu3LjyjRMnThw/fvzu3bu3bNly3HHHHXHEEeWPNjc3H3PMMQP9iVTgEOXflbUOzmkaVbvTG2+8MX78+MmTJ2/fvn3Hjh11vEagjurbNJIkefDBBzdu3Hj33Xdv27atVCqVj8xpCzWVAQyXOnaMmlYK2XWNaQaMCPX9fM9Zm5hIlBMQAgAcJk4//fS1a9emVs7r1q079thjjzzyyPx9V65cuX///quuuiq1vbu7+/bbb7/44ot//vOfL1++vFAo9G3v6ek577zzfvrTn7a3t69YseL++++fOnXqjBkzFixYMNAp9u7d29zcnN0+fvz4Tz75ZMqUKTt37kw9dODAgffff3/atGn5xQNDk39XDm1wxaZRtTu98cYbhULhxBNPPOaYY6ZNm9ba2vrwww8f8vUBdVbfpvHBBx/85Cc/KRQKZ5xxxvHHH9/3f4D6Y8KctlBTGcBwqWPHqGmlkF3XmGbAiPBZfL5XXJuYSJQTEAIAHLb+8Ic/PPTQQ3fccUfVkYsXL/7+97/f1NSU2t7b2/v666+//fbbSZJs3ry5f/v8+fPfe++91157bcGCBRdccMHll1++ZMmS3//+94sWLXr88ccHOkt/vliuWCwmSXLOOefs2bMnte/y5ct7enq++tWvVq0fGJqcu3JogwdqGimp7rRly5Z///vfc+bM6erqevfdd2+55ZY5c+bcc889g78Q4PNRx6Yxb968ffv2/epXv3rnnXfee++9u+666/bbb1+4cGHfo/ltoaYygOFSr45R00ohu64xzYCRou6f7wOtTUwk+o0a7gIAAPhMbNiw4bLLLps9e/bs2bPzR77wwgubN2+uGOyNGTPmqaeeSpJkzZo13/72tydMmHDjjTfu379/6dKlK1eunDRpUvngr33ta9dee+299947a9asWqs9+eSTb7jhhmuuuebDDz+cOXPmgQMHVq1atWDBgmuuucZvEMIIUrFppMZku9Odd9754x//uP97fPPnzx8zZsz8+fO/853vtLa2fo7lA5+Tf/zjHytWrHjkkUe++93v9m258cYbm5ubr7vuuh/84AdtbW05bWH4qgaGx+BXChXXNaYZENZg1ibBRQxFAQAOexs2bOjo6Ghvb1+2bFnVwb/5zW+mT59+wgkn5Iy59NJLr7/++kWLFiVJsmXLlu7u7ksvvbSQsXjx4jfffDNJkr1793aV6fs3Y729vdkj92+877775s2bN2/evJaWlra2tttuu23cuHG//OUvh3D5wCDl35WHMri8aZSr2J1OO+201G8AzJkz58CBA3/5y1/y6wc+Z/VqGn/+85/Hjx/fnw72ueqqqxobG/tu/Py2UFMZwHCp4zRjkCuFiusa0wwYKT67z/fU2sREop+AEADgcPPKK6+cf/757e3tjz76aENDQ/7gHTt2rF27NvVjdK+//vpvf/vb1MhvfOMb77zzzn//+98vfelLSZJ0dna+WMmzzz6bJMmyZcvayixfvnzcuHH/+te/sgXs3bu375+QNTQ0LFy4cM+ePX//+99feOGFUqn061//esKECUN/IoBcVe/KwQ/Obxr9Wyp2p1dfffV3v/tdat/GxsbW1taurq6argj4TNWxaWzfvv3oo49OPVQsFltbW3fu3JnfFmoqAxgudewYyeBWChXXNaYZMFLU8fM9f21iIlFOQAgAcFjZuHFjR0fHeeedt3r16sbGxqrjlyxZcuyxx06fPr184/bt22+66aa+X/vrt3v37smTJx9xxBFTpkxpaWnZvXv3mRmvvPLKrl27kiSZN29eqczNN9/85S9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+ "text/plain": [ + "<IPython.core.display.Image object>" + ] }, "execution_count": 5, "metadata": { @@ -154,40 +175,62 @@ "output_type": "execute_result" } ], + "execution_count": 5 + }, + { + "cell_type": "code", "source": [ - "domainparams = CascadeDomain2DParameters(xinlet = -0.16, xoutlet = 0.24, pitch = .13, blade_yshift = 0.01)\n", - "\n", - "domain2d = CascadeDomain2D()\n", - "\n", - "\n", - "domain2d.generate_from_cascade_parameters(domainparams,blade)\n", - "path = domain2d.plot_domain()\n", - "Image(path, width=1600, height=1600)" + "tempdir = tempfile.mkdtemp()" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:18:04.090825Z", + "start_time": "2024-11-04T00:18:04.086669Z" } - } + }, + "outputs": [], + "execution_count": 6 }, { "cell_type": "code", - "execution_count": 6, - "outputs": [], "source": [ - "tempdir = tempfile.mkdtemp()" + "meshconfig = MeshConfig()\n", + "di = 0.004\n", + "\n", + "meshconfig.max_lc = di\n", + "meshconfig.min_lc = di/10\n", + "meshconfig.bl_thickness = di*1.6\n", + "meshconfig.bl_growratio = 1.2\n", + "meshconfig.bl_size = 5.0e-5\n", + "meshconfig.wake_length = domain2d.blade.camber_length*1\n", + "meshconfig.wake_width = domain2d.blade.camber_length*.1\n", + "meshconfig.wake_lc = di * 0.5\n", + "meshconfig.fake_yShiftCylinder = 0\n", + "meshconfig.bladeres = int((domain2d.blade.ps_pv.length + domain2d.blade.ss_pv.length) / (meshconfig.min_lc*4))\n", + "meshconfig.progression_le_halfss = 1.05\n", + "meshconfig.progression_halfss_te = 0.95\n", + "meshconfig.progression_te_halfps = 1.05\n", + "meshconfig.progression_halfps_le = 0.95\n", + "meshconfig.spansize= 0.01\n", + "meshconfig.spanres = 5\n", + "meshpath = os.path.join(tempdir,\"test.msh\")\n", + "\n", + "generate_turbocascade(domain2d,meshconfig, meshpath)\n" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:18:12.883373Z", + "start_time": "2024-11-04T00:18:06.633437Z" } - } - }, - { - "cell_type": "code", - "execution_count": 7, + }, "outputs": [ { "name": "stdout", @@ -206,7 +249,7 @@ "Info : [ 40%] Meshing curve 10 (Extruded)\n", "Info : [ 50%] Meshing curve 11 (Extruded)\n", "Info : [ 50%] Meshing curve 12 (Extruded)\n", - "Info : [ 50%] Meshing curve 13 (Extruded)\n", + "Info : [ 60%] Meshing curve 13 (Extruded)\n", "Info : [ 60%] Meshing curve 14 (Extruded)\n", "Info : [ 60%] Meshing curve 15 (Extruded)\n", "Info : [ 70%] Meshing curve 16 (Extruded)\n", @@ -218,62 +261,33 @@ "Info : [ 90%] Meshing curve 22 (Extruded)\n", "Info : [100%] Meshing curve 23 (Extruded)\n", "Info : [100%] Meshing curve 24 (Extruded)\n", - "Info : Done meshing 1D (Wall 0.0239356s, CPU 0.024852s)\n", + "Info : Done meshing 1D (Wall 0.0234047s, CPU 0.023575s)\n", "Info : Meshing 2D...\n", "Info : [ 0%] Meshing surface 1 (Plane, Frontal-Delaunay)\n", - "Info : [ 0%] Blossom: 17633 internal 612 closed\n", - "Info : [ 0%] Blossom recombination completed (Wall 0.82308s, CPU 0.82533s): 9357 quads, 0 triangles, 0 invalid quads, 0 quads with Q < 0.1, avg Q = 0.86675, min Q = 0.345062\n", - "Info : [ 10%] Meshing surface 2 (Extruded)\n", - "Info : [ 20%] Meshing surface 3 (Extruded)\n", - "Info : [ 30%] Meshing surface 4 (Extruded)\n", - "Info : [ 40%] Meshing surface 5 (Extruded)\n", - "Info : [ 50%] Meshing surface 6 (Extruded)\n", - "Info : [ 60%] Meshing surface 7 (Extruded)\n", - "Info : [ 70%] Meshing surface 8 (Extruded)\n", - "Info : [ 80%] Meshing surface 9 (Extruded)\n", - "Info : [ 90%] Meshing surface 10 (Extruded)\n", - "Info : Done meshing 2D (Wall 5.56226s, CPU 5.56745s)\n", + "Info : [ 0%] Blossom: 18134 internal 594 closed\n", + "Info : [ 0%] Blossom recombination completed (Wall 0.648448s, CPU 0.636196s): 9533 quads, 2 triangles, 0 invalid quads, 0 quads with Q < 0.1, avg Q = 0.860559, min Q = 0.409994\n", + "Info : [ 20%] Meshing surface 2 (Extruded)\n", + "Info : [ 30%] Meshing surface 3 (Extruded)\n", + "Info : [ 40%] Meshing surface 4 (Extruded)\n", + "Info : [ 50%] Meshing surface 5 (Extruded)\n", + "Info : [ 60%] Meshing surface 6 (Extruded)\n", + "Info : [ 70%] Meshing surface 7 (Extruded)\n", + "Info : [ 80%] Meshing surface 8 (Extruded)\n", + "Info : [ 90%] Meshing surface 9 (Extruded)\n", + "Info : [100%] Meshing surface 10 (Extruded)\n", + "Info : Done meshing 2D (Wall 5.71883s, CPU 5.72268s)\n", "Info : Meshing 3D...\n", "Info : Meshing volume 1 (Extruded)\n", - "Info : Done meshing 3D (Wall 0.109953s, CPU 0.110058s)\n", + "Info : Done meshing 3D (Wall 0.207836s, CPU 0.195812s)\n", "Info : Optimizing mesh...\n", - "Info : Done optimizing mesh (Wall 0.000681823s, CPU 0.000655s)\n", - "Info : 60077 nodes 71946 elements\n", - "Info : Writing '/tmp/tmp3f921tlo/test.msh'...\n", - "Info : Done writing '/tmp/tmp3f921tlo/test.msh'\n" + "Info : Done optimizing mesh (Wall 0.00147875s, CPU 0.00178s)\n", + "Info : 61085 nodes 73066 elements\n", + "Info : Writing '/tmp/tmp16rhthmb/test.msh'...\n", + "Info : Done writing '/tmp/tmp16rhthmb/test.msh'\n" ] } ], - "source": [ - "meshconfig = MeshConfig()\n", - "di = 0.004\n", - "\n", - "meshconfig.max_lc = di\n", - "meshconfig.min_lc = di/10\n", - "meshconfig.bl_thickness = di*1.6\n", - "meshconfig.bl_growratio = 1.2\n", - "meshconfig.bl_size = 5.0e-5\n", - "meshconfig.wake_length = domain2d.blade.camber_length*1\n", - "meshconfig.wake_width = domain2d.blade.camber_length*.1\n", - "meshconfig.wake_lc = di * 0.5\n", - "meshconfig.fake_yShiftCylinder = 0\n", - "meshconfig.bladeres = int((domain2d.blade.ps_pv.length + domain2d.blade.ss_pv.length) / (meshconfig.min_lc*4))\n", - "meshconfig.progression_le_halfss = 1.05\n", - "meshconfig.progression_halfss_te = 0.95\n", - "meshconfig.progression_te_halfps = 1.05\n", - "meshconfig.progression_halfps_le = 0.95\n", - "meshconfig.spansize= 0.01\n", - "meshconfig.spanres = 5\n", - "meshpath = os.path.join(tempdir,\"test.msh\")\n", - "\n", - "generate_turbocascade(domain2d,meshconfig, meshpath)\n" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "execution_count": 7 }, { "cell_type": "markdown", @@ -291,20 +305,6 @@ }, { "cell_type": "code", - "execution_count": 1, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'os' is not defined", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31mNameError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[0;32mIn[1], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m zslice \u001B[38;5;241m=\u001B[39m \u001B[43mos\u001B[49m\u001B[38;5;241m.\u001B[39mpath\u001B[38;5;241m.\u001B[39mjoin(tempdir,\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mzslice.png\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 3\u001B[0m mesh \u001B[38;5;241m=\u001B[39m load_mesh(meshpath)\n\u001B[1;32m 5\u001B[0m edges \u001B[38;5;241m=\u001B[39m mesh\u001B[38;5;241m.\u001B[39mextract_all_edges()\n", - "\u001B[0;31mNameError\u001B[0m: name 'os' is not defined" - ] - } - ], "source": [ "\n", "zslice = os.path.join(tempdir,\"zslice.png\")\n", @@ -327,8 +327,38 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:18:19.722304Z", + "start_time": "2024-11-04T00:18:18.944057Z" } - } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<IPython.core.display.Image object>" + ] + }, + "execution_count": 8, + "metadata": { + "image/png": { + "width": 1600, + "height": 1600 + } + }, + "output_type": "execute_result" + } + ], + "execution_count": 8 } ], "metadata": { @@ -352,4 +382,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/examples/create_cascadedomain2d.ipynb b/examples/create_cascadedomain2d.ipynb index 09974841f7ce6aee94efa454faa10f71f3b34407..c0aa6d15c11fb1b60012d6a71f8bc007ea3f3283 100644 --- a/examples/create_cascadedomain2d.ipynb +++ b/examples/create_cascadedomain2d.ipynb @@ -18,8 +18,6 @@ }, { "cell_type": "code", - "execution_count": 1, - "outputs": [], "source": [ "import pyvista as pv\n", "import numpy as np\n", @@ -33,8 +31,24 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:18:44.956697Z", + "start_time": "2024-11-04T00:18:41.733069Z" } - } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jupyter environment detected. Enabling Open3D WebVisualizer.\n", + "[Open3D INFO] WebRTC GUI backend enabled.\n", + "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n" + ] + } + ], + "execution_count": 1 }, { "cell_type": "markdown", @@ -51,8 +65,6 @@ }, { "cell_type": "code", - "execution_count": 2, - "outputs": [], "source": [ "pv.set_jupyter_backend(\"static\")\n", "\n", @@ -63,8 +75,14 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:18:45.079945Z", + "start_time": "2024-11-04T00:18:44.958325Z" } - } + }, + "outputs": [], + "execution_count": 2 }, { "cell_type": "markdown", @@ -80,8 +98,6 @@ }, { "cell_type": "code", - "execution_count": 3, - "outputs": [], "source": [ "xs,ys = naca(\"6510\",512)\n", "points = pv.PolyData(np.stack([xs,ys,np.zeros(len(xs))]).T)\n", @@ -91,12 +107,31 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:18:45.087048Z", + "start_time": "2024-11-04T00:18:45.080819Z" } - } + }, + "outputs": [], + "execution_count": 3 }, { "cell_type": "code", - "execution_count": 4, + "source": [ + "blade = Blade2D(points)\n", + "blade.compute_all_frompoints(alpha=alpha)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:19:09.237795Z", + "start_time": "2024-11-04T00:18:45.088984Z" + } + }, "outputs": [ { "name": "stdout", @@ -104,66 +139,37 @@ "text": [ "working with pv.PolyData, dataarrays can be used for postprocessing\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/many/miniconda3/envs/NTRfC/lib/python3.10/site-packages/pyvista/core/filters/poly_data.py:2942: PyVistaFutureWarning: The default value of the ``capping`` keyword argument will change in a future version to ``True`` to match the behavior of VTK. We recommend passing the keyword explicitly to prevent future surprises.\n", - " warnings.warn(\n" - ] } ], - "source": [ - "blade = Blade2D(points)\n", - "blade.compute_all_frompoints(alpha=alpha)" - ], + "execution_count": 4 + }, + { + "cell_type": "code", + "source": "figpath = blade.plot()", "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:19:27.329898Z", + "start_time": "2024-11-04T00:19:26.312739Z" } - } - }, - { - "cell_type": "code", - "execution_count": 5, + }, "outputs": [ { "data": { - "text/plain": "<PIL.Image.Image image mode=RGB size=2400x2400>", - "image/png": 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- "text/plain": "<IPython.core.display.Image object>" - }, - "execution_count": 5, - "metadata": { - "image/png": { - "width": 400, - "height": 400 - } - }, - "output_type": "execute_result" } ], - "source": [ - "figpath = blade.plot()\n", - "from IPython.display import Image\n", - "\n", - "Image(figpath, width=400, height=400)" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "execution_count": 6 }, { "cell_type": "markdown", @@ -179,8 +185,6 @@ }, { "cell_type": "code", - "execution_count": 6, - "outputs": [], "source": [ "domainparas = CascadeDomain2DParameters(xinlet=-1, xoutlet=2, pitch=1.3, blade_yshift=0.1)" ], @@ -188,8 +192,14 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:19:34.687287Z", + "start_time": "2024-11-04T00:19:34.683850Z" } - } + }, + "outputs": [], + "execution_count": 7 }, { "cell_type": "markdown", @@ -206,8 +216,6 @@ }, { "cell_type": "code", - "execution_count": 7, - "outputs": [], "source": [ "domain2d = CascadeDomain2D()\n", "domain2d.generate_from_cascade_parameters(domainparas,blade)" @@ -216,19 +224,41 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:19:37.930940Z", + "start_time": "2024-11-04T00:19:37.924348Z" } - } + }, + "outputs": [], + "execution_count": 8 }, { "cell_type": "code", - "execution_count": 8, + "source": [ + "figpath = domain2d.plot_domain()\n", + "from IPython.display import Image\n", + "Image(figpath, width=400, height=400)\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:19:56.721646Z", + "start_time": "2024-11-04T00:19:55.533438Z" + } + }, "outputs": [ { "data": { - "image/png": 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+ "text/plain": [ + "<IPython.core.display.Image object>" + ] }, - "execution_count": 8, + "execution_count": 10, "metadata": { "image/png": { "width": 400, @@ -238,17 +268,7 @@ "output_type": "execute_result" } ], - "source": [ - "figpath = domain2d.plot_domain()\n", - "from IPython.display import Image\n", - "Image(figpath, width=400, height=400)\n" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "execution_count": 10 } ], "metadata": { @@ -272,4 +292,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/examples/postprocess_cascade_case.ipynb b/examples/postprocess_cascade_case.ipynb index ec758f52cfffa4ed5381b58fd8d5115cb0ffb081..e74174f63756c3735d41a15a931781ee6c9113f3 100644 --- a/examples/postprocess_cascade_case.ipynb +++ b/examples/postprocess_cascade_case.ipynb @@ -25,16 +25,59 @@ }, { "cell_type": "code", - "execution_count": 1, - "outputs": [], "source": [ "from ntrfc.turbo.cascade_case.solution import GenericCascadeCase\n", - "from ntrfc.turbo.cascade_case.post import blade_loading_cp, blade_loading_mais, compute_avdr_inout_massave\n", + "from ntrfc.turbo.cascade_case.post import blade_loading_cp\n", + "from ntrfc.turbo.cascade_case.post import blade_loading_absolute\n", + "from ntrfc.turbo.cascade_case.post import blade_loading_mais\n", + "from ntrfc.turbo.cascade_case.post import compute_avdr_inout_massave\n", + "from ntrfc.turbo.cascade_case.post import cascade_case_meshquality\n", + "from ntrfc.turbo.cascade_case.post import cascade_case_tux\n", + "from ntrfc.turbo.cascade_case.post import cascadecase_contour\n", + "\n", + "import os\n", "import pyvista as pv\n", "import importlib.resources\n", + "from IPython.display import Image\n", "\n", "\n", - "pv.set_jupyter_backend('trame')\n", + "if os.getenv('DISPLAY') is None:\n", + " pv.start_xvfb() # Start X virtual framebuffer (Xvfb)\n", + " \n", + "pv.set_jupyter_backend('trame')" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-11T04:27:15.499403Z", + "start_time": "2024-11-11T04:27:07.520922Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jupyter environment detected. Enabling Open3D WebVisualizer.\n", + "[Open3D INFO] WebRTC GUI backend enabled.\n", + "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n" + ] + } + ], + "execution_count": 1 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-11-11T04:28:09.575460Z", + "start_time": "2024-11-11T04:27:15.502902Z" + } + }, + "cell_type": "code", + "source": [ "\n", "inlet_path = importlib.resources.files(\"ntrfc\") / \"data/openfoam_cascade_case/boundary/inlet.vtp\"\n", "outlet_path = importlib.resources.files(\"ntrfc\") / \"data/openfoam_cascade_case/boundary/outlet.vtp\"\n", @@ -46,70 +89,247 @@ "case.read_meshes(inlet_path,\"inlet\")\n", "case.read_meshes(outlet_path,\"outlet\")\n", "case.read_meshes(blade_path,\"blade\")\n", - "case.read_meshes(fluid_path,\"fluid\")\n" + "case.read_meshes(fluid_path,\"fluid\")\n", + "\n", + "case.case_meta.meanvelocity_name=\"U\"\n", + "case.case_meta.meanpressure_name=\"p\"\n", + "case.case_meta.meandensity_name=\"rho\"\n", + "case.case_meta.meanturbulentkineticenergy_name=\"k\"\n", + "\n", + "case.set_bladeslice_midz()" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ntrfc info] working with pv.PolyData, dataarrays can be used for postprocessing\n" + ] + } + ], + "execution_count": 2 + }, + { + "cell_type": "code", + "source": [ + "cascadecase_contour(case,\"meanvelocity\")\n", + "cascadecase_contour(case,\"meanturbulentkineticenergy\")\n" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-11T04:28:11.872460Z", + "start_time": "2024-11-11T04:28:09.576630Z" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Widget(value='<iframe src=\"http://localhost:42023/index.html?ui=P_0x7f238fb03850_0&reconnect=auto\" class=\"pyvi…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "76002adf12ea4dad946e606f13c5e110" + } + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "Widget(value='<iframe src=\"http://localhost:42023/index.html?ui=P_0x7f238fd8aa10_1&reconnect=auto\" class=\"pyvi…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "735f2736829144378747a75961753445" + } + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "'/tmp/tmpiywz5i4m/contour_meanturbulentkineticenergy.png'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 3 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-11-11T04:28:12.400034Z", + "start_time": "2024-11-11T04:28:11.873690Z" + } + }, + "cell_type": "code", + "source": "case.blade.plot(window_size=[800, 800])", + "outputs": [ + { + "data": { + "text/plain": [ + "Widget(value='<iframe src=\"http://localhost:42023/index.html?ui=P_0x7f238fdbead0_2&reconnect=auto\" class=\"pyvi…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "7f1a06bcb5344205871cd2c34a536408" + } + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "'/tmp/tmpt4zdob68/plot.png'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 4 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-11-11T04:30:02.983620Z", + "start_time": "2024-11-11T04:28:12.401486Z" + } + }, "cell_type": "code", - "execution_count": 2, + "source": [ + "figpath_qualitystats, figpath_meshslice, figpath_badcells, pdfpath_qualityreport = cascade_case_meshquality(case)\n", + "# plot quality figures\n", + "Image(figpath_qualitystats, width=400, height=400)\n", + "# plot mesh slice\n", + "Image(figpath_meshslice, width=400, height=400)\n", + "# plot bad cells\n", + "Image(figpath_badcells, width=400, height=400)" + ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "working with pv.PolyData, dataarrays can be used for postprocessing\n", - "ratio of cleaned sites: 0.832749708187427\n" + "[ntrfc info] computing aspect ratios...\n", + "[ntrfc info] meshquality: OK\n", + "[ntrfc info] computing skewnesses...\n", + "[ntrfc info] meshquality: BAD\n", + "[ntrfc info] computing expansion factors...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/many/PycharmProjects/NTRfC/ntrfc/turbo/pointcloud_methods.py:52: UserWarning: Warning: the position of ssPoly and psPoly in the return of extractSidePolys changed. In case of unexpected results of your application, check the usage of ssPoly and psPoly\n", - " warnings.warn(\n" + "/home/many/PycharmProjects/NTRfC/ntrfc/meshquality/skewness.py:34: UserWarning: [ntrfc warning] Mesh quality (Skewness) is bad, consider refining the mesh.\n", + " warnings.warn(f\"[ntrfc warning] Mesh quality ({qualityname}) is bad, consider refining the mesh.\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ntrfc info] meshquality: OK\n" ] + }, + { + "data": { + "text/plain": [ + "Widget(value='<iframe src=\"http://localhost:42023/index.html?ui=P_0x7f238ea41ed0_3&reconnect=auto\" class=\"pyvi…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "488b421ebc6347849690decc43fdefc3" + } + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "Widget(value='<iframe src=\"http://localhost:42023/index.html?ui=P_0x7f238e526b90_4&reconnect=auto\" class=\"pyvi…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "fef43aa06cc842a7aabb8cf6d9110ccb" + } + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "<IPython.core.display.Image object>" + ] + }, + "execution_count": 5, + "metadata": { + "image/png": { + "width": 400, + "height": 400 + } + }, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "<Figure size 1500x1000 with 3 Axes>" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" } ], - "source": [ - "case.set_bladeslice_midz()" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "execution_count": 5 }, { "cell_type": "code", - "execution_count": 3, - "outputs": [], "source": [ - "_,_,_,_ ,fig= blade_loading_cp(case,pressurevar=\"p\", densityvar=\"rho\", velvar=\"U\")" + "_,_,_,_ ,fig= blade_loading_cp(case)\n", + "Image(fig, width=400, height=400)" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-11T04:30:03.347414Z", + "start_time": "2024-11-11T04:30:02.986525Z" } - } - }, - { - "cell_type": "code", - "execution_count": 4, + }, "outputs": [ { "data": { - "image/png": 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", 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", + "text/plain": [ + "<IPython.core.display.Image object>" + ] }, - "execution_count": 4, + "execution_count": 6, "metadata": { "image/png": { "width": 400, @@ -119,43 +339,79 @@ "output_type": "execute_result" } ], + "execution_count": 6 + }, + { + "cell_type": "code", "source": [ - "from IPython.display import Image\n", + "_,_,_,_,fig = blade_loading_absolute(case)\n", "Image(fig, width=400, height=400)" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-11T04:30:03.591069Z", + "start_time": "2024-11-11T04:30:03.351229Z" } - } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<IPython.core.display.Image object>" + ] + }, + "execution_count": 7, + "metadata": { + "image/png": { + "width": 400, + "height": 400 + } + }, + "output_type": "execute_result" + } + ], + "execution_count": 7 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-11-11T04:30:03.674772Z", + "start_time": "2024-11-11T04:30:03.594701Z" + } + }, "cell_type": "code", - "execution_count": 5, + "source": [ + "avdr =compute_avdr_inout_massave(case)\n", + "print(avdr)" + ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "2.60963336411068\n" + "2.6096333644205414\n" ] } ], - "source": [ - "avdr =compute_avdr_inout_massave(case,densityvar=\"rho\", velvar=\"U\")\n", - "print(avdr)\n" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "execution_count": 8 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-11-11T04:30:03.874271Z", + "start_time": "2024-11-11T04:30:03.679239Z" + } + }, "cell_type": "code", - "execution_count": 6, + "source": [ + "_,_,_,_ ,fig= blade_loading_mais(case)\n", + "Image(fig, width=400, height=400)" + ], "outputs": [ { "name": "stderr", @@ -164,28 +420,54 @@ "/home/many/PycharmProjects/NTRfC/ntrfc/fluid/isentropic.py:36: RuntimeWarning: invalid value encountered in sqrt\n", " y = np.sqrt(2 / (kappa - 1) * ((p_frestream / p_blade) ** ((kappa - 1) / kappa) - 1))\n" ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<IPython.core.display.Image object>" + ] + }, + "execution_count": 9, + "metadata": { + "image/png": { + "width": 400, + "height": 400 + } + }, + "output_type": "execute_result" } ], - "source": [ - "_,_,_,_ ,fig= blade_loading_mais(case,pressurevar=\"p\", densityvar=\"rho\", velvar=\"U\")" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "execution_count": 9 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-11-11T04:30:06.103357Z", + "start_time": "2024-11-11T04:30:03.877286Z" + } + }, "cell_type": "code", - "execution_count": 8, + "source": [ + "fig = cascade_case_tux(case)\n", + "Image(fig, width=400, height=400)" + ], "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 200/200 [00:02<00:00, 95.14it/s] \n" + ] + }, { "data": { - "image/png": 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", + "text/plain": [ + "<IPython.core.display.Image object>" + ] }, - "execution_count": 8, + "execution_count": 10, "metadata": { "image/png": { "width": 400, @@ -195,16 +477,19 @@ "output_type": "execute_result" } ], - "source": [ - "from IPython.display import Image\n", - "Image(fig, width=400, height=400)\n" - ], + "execution_count": 10 + }, + { "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" + "ExecuteTime": { + "end_time": "2024-11-11T04:30:06.112372Z", + "start_time": "2024-11-11T04:30:06.109041Z" } - } + }, + "cell_type": "code", + "source": "", + "outputs": [], + "execution_count": 10 } ], "metadata": { @@ -228,4 +513,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/examples/read_profilepoints.ipynb b/examples/read_profilepoints.ipynb index 71024afef82d262c7fc7f2bc63b33f890edef629..7a2da0dc52abc299208845964aeca1d2013a5edc 100644 --- a/examples/read_profilepoints.ipynb +++ b/examples/read_profilepoints.ipynb @@ -16,38 +16,6 @@ }, { "cell_type": "code", - "execution_count": 4, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "working with pv.PolyData, dataarrays can be used for postprocessing\n" - ] - }, - { - "data": { - "text/plain": "<PIL.Image.Image image mode=RGB size=4800x4800>", - "image/png": 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- "text/plain": "<IPython.core.display.Image object>" - }, - "execution_count": 4, - "metadata": { - "image/png": { - "width": 400, - "height": 400 - } - }, - "output_type": "execute_result" - } - ], "source": [ "from ntrfc.turbo.cascade_case.utils.domain_utils import Blade2D\n", "import importlib.resources\n", @@ -76,8 +44,52 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-11-04T00:24:51.883542Z", + "start_time": "2024-11-04T00:24:18.457387Z" } - } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jupyter environment detected. Enabling Open3D WebVisualizer.\n", + "[Open3D INFO] WebRTC GUI backend enabled.\n", + "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n", + "working with pv.PolyData, dataarrays can be used for postprocessing\n" + ] + }, + { + "data": { + "text/plain": [ + "<PIL.Image.Image image mode=RGB size=2400x2400>" + ], + "image/png": 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QIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgAgJhRWwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECxwIC4fFznUaAAAECBAgQIEC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+ "text/plain": [ + "<IPython.core.display.Image object>" + ] + }, + "execution_count": 1, + "metadata": { + "image/png": { + "width": 400, + "height": 400 + } + }, + "output_type": "execute_result" + } + ], + "execution_count": 1 } ], "metadata": { @@ -101,4 +113,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/ntrfc/__init__.py b/ntrfc/__init__.py index 972cb83880107e28f6cbacf8d12121790ff7f22a..418d1e113e8485de736dea35fb6992f03673788c 100644 --- a/ntrfc/__init__.py +++ b/ntrfc/__init__.py @@ -2,4 +2,4 @@ __author__ = """Malte Nyhuis""" __email__ = 'nyhuis@tfd.uni-hannover.de' -__version__ = '0.2.2' +__version__ = '0.2.3' diff --git a/ntrfc/geometry/alphashape.py b/ntrfc/geometry/alphashape.py index 3f5a3c5646fba0764dca570ecb8f60be15ca6943..783a4d2a49e49974a0d664a227d3ec6503db0660 100644 --- a/ntrfc/geometry/alphashape.py +++ b/ntrfc/geometry/alphashape.py @@ -55,7 +55,10 @@ def calc_concavehull(x, y, alpha): c = np.linalg.norm(pc - pa) s = (a + b + c) / 2.0 area = np.sqrt(s * (s - a) * (s - b) * (s - c)) - circum_r = a * b * c / (4.0 * area) + if area == 0: + circum_r = np.inf + else: + circum_r = a * b * c / (4.0 * area) if circum_r < alpha: add_edge(edges, ia, ib) add_edge(edges, ib, ic) diff --git a/ntrfc/geometry/line.py b/ntrfc/geometry/line.py index 607bde6499db2ac5650a807d29d095152fe71211..b67c836f0808f8e487cef3556c08b3dc11eb1890 100644 --- a/ntrfc/geometry/line.py +++ b/ntrfc/geometry/line.py @@ -1,7 +1,6 @@ import numpy as np import pyvista as pv -from scipy.interpolate import CubicSpline,interp1d -from scipy.interpolate import PchipInterpolator +from scipy.interpolate import interp1d def polyline_from_points(points): @@ -23,7 +22,8 @@ def lines_from_points(points): poly.lines = cells return poly -def refine_spline(x, y, res, half_cosine_spacing=False,kind='linear'): + +def refine_spline(x, y, res, half_cosine_spacing=False, kind='linear'): """ Refine spline using cubic interpolation. @@ -38,8 +38,8 @@ def refine_spline(x, y, res, half_cosine_spacing=False,kind='linear'): distance = distance / distance[-1] # Cubic spline interpolation - fx = interp1d(distance, x,kind=kind) - fy = interp1d(distance, y,kind=kind) + fx = interp1d(distance, x, kind=kind) + fy = interp1d(distance, y, kind=kind) if half_cosine_spacing: beta = np.linspace(0.0, np.pi, res) diff --git a/ntrfc/geometry/surface.py b/ntrfc/geometry/surface.py index aff62a11ab45bfaa6207c2711c900940cdf1f9aa..426ed0806618a6bafc5eb39a4bc2b844c0a3dc99 100644 --- a/ntrfc/geometry/surface.py +++ b/ntrfc/geometry/surface.py @@ -43,11 +43,10 @@ def calc_dist_from_surface(surface_primary, surface_secondary, verbose=False): dist = np.sqrt(np.sum((ip - p) ** 2)) h0n["distances"][i] = dist - if any(h0n["distances"] == 0): - # Replace zeros with nans - mask = h0n["distances"] == 0 - h0n["distances"][mask] = np.nan - np.nanmean(h0n["distances"]) + # Replace zeros with nans + mask = h0n["distances"] == 0 + h0n["distances"][mask] = np.nan + np.nanmean(h0n["distances"]) # if verbose: # ############################################################################### diff --git a/ntrfc/math/vectorcalc.py b/ntrfc/math/vectorcalc.py index 6b6a1537e618092d11cc3e8b068338f591b080e2..45bc7ce2dfdf2ddcdd5777e2041c43715ee396c2 100644 --- a/ntrfc/math/vectorcalc.py +++ b/ntrfc/math/vectorcalc.py @@ -165,16 +165,6 @@ def eulersFromRPG(R): eul2 = m.atan2(-R.item(2, 0), cp * R.item(0, 0) + sp * R.item(1, 0)) eul3 = m.atan2(sp * R.item(0, 2) - cp * R.item(1, 2), cp * R.item(1, 1) - sp * R.item(0, 1)) - """ - print("z - phi =", eul1) - print("y - theta =", eul2) - print("x - psi =", eul3) - - print("checkRPGRepo") - print(R) - - print(np.dot(np.dot(Rz(eul1),Ry(eul2)),Rx(eul3))) - """ return eul1, eul2, eul3 diff --git a/ntrfc/meshquality/nondimensionals.py b/ntrfc/meshquality/nondimensionals.py index f14c5a1ced52f509dd824157f5b11917cfb67766..0c2fc6f3b37f1ce8ea1a9b104c99113cb40cf7c1 100644 --- a/ntrfc/meshquality/nondimensionals.py +++ b/ntrfc/meshquality/nondimensionals.py @@ -13,25 +13,25 @@ from scipy.spatial import KDTree from ntrfc.math.vectorcalc import vecAbs_list, unitvec -def cellDirections(cellUMean, wallNorm): - x = unitvec(cellUMean) # mainDirection - y = unitvec(wallNorm) # tangential +def cell_directions(cell_u_Mean, wall_norm): + x = unitvec(cell_u_Mean) # mainDirection + y = unitvec(wall_norm) # tangential z = unitvec(np.cross(x, y)) # spanwise return np.array([x, y, z]) -def cellSpans(solutionMesh, calcFrom): +def cell_spans(solution_mesh, calc_from): cell_spans = [] - cellIds = np.arange(0, solutionMesh.number_of_cells) - for cellIdx in cellIds: - wallNormal = solutionMesh["wallNormal"][cellIdx] - uMean = solutionMesh[calcFrom][cellIdx] - - cellDirs = cellDirections(uMean, wallNormal) - xx = cellDirs[0] - yy = cellDirs[1] - zz = cellDirs[2] - cellfaces = solutionMesh.extract_cells(cellIdx).extract_surface() + cell_ids = np.arange(0, solution_mesh.number_of_cells) + for cellIdx in cell_ids: + wall_normal = solution_mesh["wallNormal"][cellIdx] + u_mean = solution_mesh[calc_from][cellIdx] + + cell_dirs = cell_directions(u_mean, wall_normal) + xx = cell_dirs[0] + yy = cell_dirs[1] + zz = cell_dirs[2] + cellfaces = solution_mesh.extract_cells(cellIdx).extract_surface() facecenters = cellfaces.cell_centers().points spans = facecenters[:, np.newaxis] - facecenters spans_x = np.abs(np.dot(spans, xx)) @@ -68,7 +68,7 @@ def get_wall_shear_stress_velocity(mesh, dynamic_viscosity, density_fieldname, v return np.sqrt(tau_w / fluid_density) -def constructWallMesh(surfaces): +def construct_wallmesh(surfaces): wall = pv.UnstructuredGrid() for surf in surfaces: wall = wall.merge(surf) @@ -82,8 +82,8 @@ def compute_scalar_gradient(mesh, arrayname): def calc_dimensionless_yplus(volmesh, surfaces, use_velfield, use_rhofield, mu_0): - surfaceMesh = constructWallMesh(surfaces) - surfacenormals_surface = surfaceMesh.extract_surface().compute_normals() + surface_mesh = construct_wallmesh(surfaces) + surfacenormals_surface = surface_mesh.extract_surface().compute_normals() volmesh = compute_scalar_gradient(volmesh, use_velfield) walladjacentids = volmesh.find_containing_cell(surfacenormals_surface.cell_centers().points) @@ -93,12 +93,12 @@ def calc_dimensionless_yplus(volmesh, surfaces, use_velfield, use_rhofield, mu_0 surfacenormals_surface.point_data["Normals"][surfacenormals_surface.find_closest_point(i)] for i in volmesh_walladjacent.points] distcompute = pv.PolyData(volmesh_walladjacent["cellCenters"]).compute_implicit_distance( - surfaceMesh.extract_surface()) + surface_mesh.extract_surface()) volmesh_walladjacent["cellCentersWallDistance"] = distcompute["implicit_distance"] volmesh_walladjacent["uTaus"] = get_wall_shear_stress_velocity(volmesh_walladjacent, mu_0, use_rhofield, use_velfield) - YPlus = np.abs(volmesh_walladjacent["cellCentersWallDistance"]) * volmesh_walladjacent["uTaus"] / mu_0 - volmesh_walladjacent["yPlus"] = YPlus + y_plus = np.abs(volmesh_walladjacent["cellCentersWallDistance"]) * volmesh_walladjacent["uTaus"] / mu_0 + volmesh_walladjacent["yPlus"] = y_plus return volmesh_walladjacent @@ -112,12 +112,12 @@ def calc_dimensionless_gridspacing(volmesh, surfaces, use_velfield, use_rhofield :return: volmesh_walladjacent: pyvista-vtk object with the nondimensionals """ - print("constructing surfacemesh from wall meshes ...") - surfaceMesh = constructWallMesh(surfaces) - print("calculating wall-normal vectors...") - surfacenormals_surface = surfaceMesh.extract_surface().compute_normals() + print("[ntrfc info] constructing surfacemesh from wall meshes ...") + surface_mesh = construct_wallmesh(surfaces) + print("[ntrfc info] calculating wall-normal vectors...") + surfacenormals_surface = surface_mesh.extract_surface().compute_normals() - print("finding walladjacent cells") + print("[ntrfc info] finding walladjacent cells") merged_mesh = surfacenormals_surface + volmesh # Compute cell-based derivative of a vector field derivatives = compute_scalar_gradient(merged_mesh, use_velfield) @@ -151,13 +151,13 @@ def calc_dimensionless_gridspacing(volmesh, surfaces, use_velfield, use_rhofield volmesh_walladjacent["wallNormal"] = surface_normals[indices] volmesh_walladjacent["wallUGradient"] = surface_gradients[indices] - print("calculating cell spans from WallNormals...") - spanS = cellSpans(volmesh_walladjacent, use_velfield) + print("[ntrfc info] calculating cell spans from WallNormals...") + spanS = cell_spans(volmesh_walladjacent, use_velfield) volmesh_walladjacent["xSpan"] = np.array([i[0] for i in spanS]) # calculate cell span in flow direction volmesh_walladjacent["ySpan"] = np.array([i[1] for i in spanS]) # calculate cell span in wall normal direction volmesh_walladjacent["zSpan"] = np.array([i[2] for i in spanS]) # calculate cell span in span direction - print("calculating wall-shear and friction-velocity") + print("[ntrfc info] calculating wall-shear and friction-velocity") volmesh_walladjacent = volmesh_walladjacent.ptc() grad_velocity = volmesh_walladjacent["wallUGradient"].reshape(volmesh_walladjacent.number_of_cells, 3, 3) wall_normals = volmesh_walladjacent["wallNormal"] diff --git a/ntrfc/meshquality/skewness.py b/ntrfc/meshquality/skewness.py index 47dcc00095655340fd2a350299e68b0d3f910274..c0914461ec653a748a8b1d40c2767a5d1c3dee60 100644 --- a/ntrfc/meshquality/skewness.py +++ b/ntrfc/meshquality/skewness.py @@ -31,7 +31,7 @@ def compute_cell_skewness(grid): meshok = classify_mesh_quality(qualityname, skewnesses) if not meshok: - warnings.warn(f"Mesh quality ({qualityname}) is bad, consider refining the mesh.") + warnings.warn(f"[ntrfc warning] Mesh quality ({qualityname}) is bad, consider refining the mesh.") return skewnesses diff --git a/ntrfc/meshquality/standards.py b/ntrfc/meshquality/standards.py index ce83a2e4cd19a5ee9497fd882acdf1d4b543aed2..b30f5042590871afcd90a29c2febd82b50ae2cf4 100644 --- a/ntrfc/meshquality/standards.py +++ b/ntrfc/meshquality/standards.py @@ -1,7 +1,7 @@ quality_definitions = { "AspectRatio": {"good": (1, 100), "ok": (100, 1000)}, "MeshExpansion": {"good": (1, 20), "ok": (20, 40)}, - "Skewness": {"good": (0, 0.2), "ok": (0.2, 0.35)}, + "Skewness": {"good": (0, 0.5), "ok": (0.5, 0.75)}, # Add more mesh quality definitions as needed } @@ -15,14 +15,14 @@ def classify_mesh_quality(quality_name, value_array): ok_range = definitions["ok"] if all((good_range[0] <= value_array) * (value_array <= good_range[1])): - print("meshquality: GOOD") + print("[ntrfc info] meshquality: GOOD") return True elif any(ok_range[1] <= value_array): - print("meshquality: BAD") + print("[ntrfc info] meshquality: BAD") return False elif any((ok_range[0] <= value_array) * (value_array <= ok_range[1])): - print("meshquality: OK") + print("[ntrfc info] meshquality: OK") return True else: - print("Undefined Quality") + print("[ntrfc info] Undefined Quality") return False diff --git a/ntrfc/timeseries/integral_scales.py b/ntrfc/timeseries/integral_scales.py index 710382d9f9c443980964271d31602abf292fb463..4db3b3c7473b1ad235c46a31da38893f0a547bc7 100644 --- a/ntrfc/timeseries/integral_scales.py +++ b/ntrfc/timeseries/integral_scales.py @@ -16,7 +16,8 @@ def integralscales(signal, timesteparray): if len(zero_crossings(autocorrelated)) > 0: acorr_zero_crossings = zero_crossings(autocorrelated)[0] else: - print("no zero crossing found, using first minimal value (possibly last timestep). check data quality!") + print( + "[ntrfc info] no zero crossing found, using first minimal value (possibly last timestep). check data quality!") acorr_zero_crossings = np.where(autocorrelated == min(autocorrelated))[0][0] if all(np.isnan(autocorrelated)) or acorr_zero_crossings == 0: diff --git a/ntrfc/timeseries/stationarity.py b/ntrfc/timeseries/stationarity.py index b81fbc2b75d61653f370581632fe02572f66958f..be85f87577502c487b82a56f0bfae6c733c73c8c 100644 --- a/ntrfc/timeseries/stationarity.py +++ b/ntrfc/timeseries/stationarity.py @@ -77,24 +77,25 @@ def smd_probability_compare(sample1, sample2, verbose=False): # plt.show() return similarity + def calculate_histogram(signal, bins=30): # Calculate histogram as an approximation of the distribution hist, bin_edges = np.histogram(signal, bins=bins, density=True) hist = hist / hist.sum() # Normalize to make it a probability distribution return hist -def calculate_stationarity_score(sample_1, sample_2): +def calculate_stationarity_score(sample_1, sample_2): bins = optimal_bin_width(sample_1, sample_2) - def js_divergence_with_reference(sample1,sample2,bins): + def js_divergence_with_reference(sample1, sample2, bins): hist1 = calculate_histogram(sample1, bins) hist2 = calculate_histogram(sample2, bins) return jensenshannon(hist1, hist2) # Apply rol # Calculate JS divergence for each rolling window compared to the reference - js_divergences = js_divergence_with_reference(sample_1,sample_2,bins) + js_divergences = js_divergence_with_reference(sample_1, sample_2, bins) # Calculate average distance avg_distance = js_divergences @@ -137,11 +138,11 @@ def optimal_window_size(time_series, min_interval=0.05, max_interval=0.25, verbo max_window_size = int(series_length * max_interval) allowed_window_sizes = range(min_window_size, max_window_size) - def rdiff(a,b): + def rdiff(a, b): if a != 0: - return np.abs((a-b)/a) + return np.abs((a - b) / a) elif b != 0: - return np.abs((a-b)/b) + return np.abs((a - b) / b) else: return 0 @@ -161,7 +162,7 @@ def optimal_window_size(time_series, min_interval=0.05, max_interval=0.25, verbo cumulated_scores = minmax_normalize(mean_scores) + minmax_normalize(var_scores) optimal_window_size_index = np.argmin(cumulated_scores) - opt_window_size = allowed_window_sizes[optimal_window_size_index]*2 + opt_window_size = allowed_window_sizes[optimal_window_size_index] * 2 # opt_window = time_series[-opt_window_size:] @@ -204,7 +205,7 @@ def estimate_stationarity(timeseries, verbose=False): reference_mean = np.mean(reference_window) reference_variance = np.var(reference_window) - opt_rolling_window = pd.DataFrame(reference_window).rolling(window=opt_window_size//2) + opt_rolling_window = pd.DataFrame(reference_window).rolling(window=opt_window_size // 2) rolling_means = opt_rolling_window.mean().values rolling_vars = opt_rolling_window.var().values @@ -212,16 +213,13 @@ def estimate_stationarity(timeseries, verbose=False): mean_uncertainty = np.nanstd(rolling_means) var_uncertainty = np.nanstd(rolling_vars) - mean_tolerance = (0.005) - var_tolerance = 0.15*mean_tolerance - - + var_tolerance = 0.15 * mean_tolerance checkseries = normalized_series[:-opt_window_size] checkseries_reversed = pd.DataFrame(checkseries[::-1]) - rolling_win_reversed = checkseries_reversed.rolling(window=opt_window_size//2) + rolling_win_reversed = checkseries_reversed.rolling(window=opt_window_size // 2) rolling_means_reversed = rolling_win_reversed.mean().values rolling_vars_reversed = rolling_win_reversed.var().values @@ -244,11 +242,12 @@ def estimate_stationarity(timeseries, verbose=False): answer_index = np.where(success_rate >= threshold)[0][0] return len(arr) - answer_index - mean_index = datalength - last_coherent_interval(rolling_means_errors_inliers_reversed) - 3 * opt_window_size//2 + mean_index = datalength - last_coherent_interval(rolling_means_errors_inliers_reversed) - 3 * opt_window_size // 2 - variance_index = datalength - last_coherent_interval(rolling_vars_errors_inliers_reversed) - 3 * opt_window_size//2 + variance_index = datalength - last_coherent_interval( + rolling_vars_errors_inliers_reversed) - 3 * opt_window_size // 2 - stationary_start_index = max(mean_index, variance_index)-opt_window_size//2 + stationary_start_index = max(mean_index, variance_index) - opt_window_size // 2 # if verbose: # fig, axs = plt.subplots(3, 1, figsize=(24, 20)) diff --git a/ntrfc/turbo/cascade_case/casemeta/casemeta.py b/ntrfc/turbo/cascade_case/casemeta/casemeta.py index e91555537cec0f41285dc8f7f14b0a29c4b00d5e..71c15c7def3650948a2acbd11af5ecacacaffa44 100644 --- a/ntrfc/turbo/cascade_case/casemeta/casemeta.py +++ b/ntrfc/turbo/cascade_case/casemeta/casemeta.py @@ -1,3 +1,44 @@ class CaseMeta: def __init__(self, case_root_directory): self.case_root_directory = case_root_directory + + self.velocity_name = None + self.meanvelocity_name = None + self.density_name = None + self.meandensity_name = None + self.pressure_name = None + self.meanpressure_name = None + self.temperature_name = None + self.meantemperature_name = None + self.turbulentkineticenergy_name = None + self.meanturbulentkineticenergy_name = None + self.mach_name = None + + self.dynamic_viscosity = 1 + self.kappa = 1.4 + + def casevariables(self, var): + if var == "velocity": + return self.velocity_name + elif var == "meanvelocity": + return self.meanvelocity_name + elif var == "density": + return self.density_name + elif var == "meandensity": + return self.meandensity_name + elif var == "pressure": + return self.pressure_name + elif var == "meanpressure": + return self.meanpressure_name + elif var == "temperature": + return self.temperature_name + elif var == "meantemperature": + return self.meantemperature_name + elif var == "turbulentkineticenergy": + return self.turbulentkineticenergy_name + elif var == "meanturbulentkineticenergy": + return self.meanturbulentkineticenergy_name + elif var == "mach": + return self.mach_name + else: + return f"Undefined variable: {var}" diff --git a/ntrfc/turbo/cascade_case/post.py b/ntrfc/turbo/cascade_case/post.py index 21cde9b4e34779cff6e0753cfbab0b58b979126e..d07de7030cdfebb5bfa154886d3469cf81683daa 100644 --- a/ntrfc/turbo/cascade_case/post.py +++ b/ntrfc/turbo/cascade_case/post.py @@ -1,26 +1,268 @@ import tempfile import numpy as np +import pyvista as pv +from PIL import Image from matplotlib import pyplot as plt +from tqdm import tqdm +import ntrfc from ntrfc.fluid.isentropic import local_isentropic_mach_number from ntrfc.geometry.plane import massflowave_plane -from ntrfc.math.vectorcalc import vecAbs, vecAngle +from ntrfc.math.vectorcalc import vecAbs, vecAngle, vecAbs_list +from ntrfc.meshquality.aspect_ratio import compute_cell_aspect_ratios +from ntrfc.meshquality.meshexpansion import compute_expansion_factors +from ntrfc.meshquality.nondimensionals import calc_dimensionless_gridspacing +from ntrfc.meshquality.skewness import compute_cell_skewness +from ntrfc.meshquality.standards import quality_definitions from ntrfc.turbo.bladeloading import calc_inflow_cp -from ntrfc.turbo.cascade_case.solution import GenericCascadeCase +from ntrfc.turbo.cascade_case.solution import GenericCascadeCase, Blade2D from ntrfc.turbo.integrals import avdr +def cascade_case_meshquality(case_instance: GenericCascadeCase, + pdfpath_qualityreport: str = None, + figpath_qualitystats: str = None, + figpath_meshslice: str = None, + figpath_badcells: str = None) -> str: + if not pdfpath_qualityreport: + pdfpath_qualityreport = tempfile.mkdtemp() + "/quality_report.pdf" + if not figpath_qualitystats: + figpath_qualitystats = tempfile.mkdtemp() + "/meshquality.png" + if not figpath_meshslice: + figpath_meshslice = tempfile.mkdtemp() + "/meshslice.png" + if not figpath_badcells: + figpath_badcells = tempfile.mkdtemp() + "/badcells.png" + + grid = case_instance.mesh_dict["fluid"] + print("[ntrfc info] computing aspect ratios...") + aspect_ratios = compute_cell_aspect_ratios(grid) + print("[ntrfc info] computing skewnesses...") + skewnesses = compute_cell_skewness(grid) + print("[ntrfc info] computing expansion factors...") + expansion_factors = compute_expansion_factors(grid) + + grid["aspect_ratios"] = aspect_ratios + grid["skewnesses"] = skewnesses + grid["expansion_factors"] = expansion_factors + + plot_meshstats_histograms(aspect_ratios, expansion_factors, figpath_qualitystats, skewnesses) + + plot_gridslice(figpath_meshslice, grid) + + plot_badcells(aspect_ratios, expansion_factors, figpath_badcells, grid, skewnesses) + + images = [ + Image.open(f) + for f in [figpath_meshslice, figpath_qualitystats, figpath_badcells] + ] + images[0].save( + pdfpath_qualityreport, "PDF", resolution=300.0, save_all=True, append_images=images[1:] + ) + + return figpath_qualitystats, figpath_meshslice, figpath_badcells, pdfpath_qualityreport + + +def plot_badcells(aspect_ratios, expansion_factors, figpath_badcells, grid, skewnesses): + ok_aspect_ratios = quality_definitions["AspectRatio"]["ok"] + ok_skewnesses = quality_definitions["Skewness"]["ok"] + ok_expansion_factors = quality_definitions["MeshExpansion"]["ok"] + ok_aspect_ratios_cells_mask = (aspect_ratios > min(ok_aspect_ratios)) & (aspect_ratios < max(ok_aspect_ratios)) + ok_skewnesses_cells_mask = (skewnesses > min(ok_skewnesses)) & (skewnesses < max(ok_skewnesses)) + ok_expansion_factors_cells_mask = (expansion_factors > min(ok_expansion_factors)) & ( + expansion_factors < max(ok_expansion_factors)) + bad_aspect_ratio_cells_mask = aspect_ratios >= max(ok_aspect_ratios) + bad_skewness_cells_mask = skewnesses >= max(ok_skewnesses) + bad_expansion_factors_cells_mask = expansion_factors >= max(ok_expansion_factors) + ok_skewnesses_cells = grid.extract_cells(ok_skewnesses_cells_mask) + ok_aspect_ratios_cells = grid.extract_cells(ok_aspect_ratios_cells_mask) + ok_expansion_factors_cells = grid.extract_cells(ok_expansion_factors_cells_mask) + bad_skewness_cells = grid.extract_cells(bad_skewness_cells_mask) + bad_aspect_ratio_cells = grid.extract_cells(bad_aspect_ratio_cells_mask) + bad_expansion_factors_cells = grid.extract_cells(bad_expansion_factors_cells_mask) + ok_color = "cyan" + bad_color = "red" + p = pv.Plotter(off_screen=True) + if ok_aspect_ratios_cells.n_cells > 0: + p.add_mesh(ok_aspect_ratios_cells, color=ok_color, opacity=0.2, show_edges=True) + if ok_skewnesses_cells.n_cells > 0: + p.add_mesh(ok_skewnesses_cells, color=ok_color, opacity=0.2, show_edges=True) + if ok_expansion_factors_cells.n_cells > 0: + p.add_mesh(ok_expansion_factors_cells, color=ok_color, opacity=0.2, show_edges=True) + if bad_aspect_ratio_cells.n_cells > 0: + p.add_mesh(bad_aspect_ratio_cells, color=bad_color, opacity=0.5, show_edges=True) + if bad_skewness_cells.n_cells > 0: + p.add_mesh(bad_skewness_cells, color=bad_color, opacity=0.5, show_edges=True) + if bad_expansion_factors_cells.n_cells > 0: + p.add_mesh(bad_expansion_factors_cells, color=bad_color, opacity=0.5, show_edges=True) + p.view_xy() + p.show(screenshot=figpath_badcells) + + +def plot_gridslice(figpath_meshslice, grid): + # Plot the mesh slice + p = pv.Plotter(off_screen=True) + p.add_mesh(grid.slice(normal="z"), color="grey", opacity=0.5, show_edges=True) + p.view_xy() + p.show(screenshot=figpath_meshslice) + + +def plot_meshstats_histograms(aspect_ratios, expansion_factors, figpath_qualitystats, skewnesses): + # Plot the quality stats + fig, axs = plt.subplots(3, 1, figsize=(15, 10)) + axs[0].hist(aspect_ratios, bins=64, color="blue", alpha=0.7) + axs[0].set_title("Aspect Ratios") + axs[0].set_xlabel("Aspect Ratio") + axs[0].set_ylabel("Frequency") + axs[0].grid() + axs[1].hist(skewnesses, bins=64, color="red", alpha=0.7) + axs[1].set_title("Skewnesses") + axs[1].set_xlabel("Skewness") + axs[1].set_ylabel("Frequency") + axs[1].grid() + axs[2].hist(expansion_factors, bins=64, color="green", alpha=0.7) + axs[2].set_title("Expansion Factors") + axs[2].set_xlabel("Expansion Factor") + axs[2].set_ylabel("Frequency") + axs[2].grid() + # Show texts + axs[0].text(0.9, 0.5, + f"min {np.round(np.min(aspect_ratios), 2)}\n mean: {np.round(np.mean(aspect_ratios), 2)}\n max:{np.round(np.max(aspect_ratios), 2)}", + horizontalalignment='right', verticalalignment='center', transform=axs[0].transAxes) + axs[1].text(0.9, 0.5, + f"min {np.round(np.min(skewnesses), 2)}\n mean: {np.round(np.mean(skewnesses), 2)}\n max:{np.round(np.max(skewnesses), 2)}", + horizontalalignment='right', verticalalignment='center', transform=axs[1].transAxes) + axs[2].text(0.9, 0.5, + f"min {np.round(np.min(expansion_factors), 2)}\n mean: {np.round(np.mean(expansion_factors), 2)}\n max:{np.round(np.max(expansion_factors), 2)}", + horizontalalignment='right', verticalalignment='center', transform=axs[2].transAxes) + plt.tight_layout() + plt.savefig(figpath_qualitystats) + + +def cascade_case_tux(case_instance: GenericCascadeCase, res: int = 200, figpath: str = None) -> str: + if not figpath: + figpath = tempfile.mkdtemp() + "/cascade_case_tux.png" + + grid = case_instance.mesh_dict["fluid"] + umeanname = case_instance.case_meta.meanvelocity_name + rhomeanname = case_instance.case_meta.meandensity_name + kmeanname = case_instance.case_meta.meanturbulentkineticenergy_name + x0 = grid.bounds[0] + x1 = grid.bounds[1] + xs = np.linspace(x0 + 1e-6, x1 - 1e-6, res) + uabs = vecAbs_list(grid.cell_data[umeanname]) + grid["uabs"] = uabs + tus = [] + for x in tqdm(xs): + slicex = grid.slice(normal="x", origin=(x, 0, 0)) + uabs = massflowave_plane(slicex, valname="uabs", rhoname=rhomeanname, velocityname=umeanname) + tke = massflowave_plane(slicex, valname=kmeanname, rhoname=rhomeanname, velocityname=umeanname) + tus.append(np.sqrt(2 / 3 * tke) / uabs) + + fig = plt.figure() + plt.plot(xs, tus) + plt.xlabel("x") + plt.ylabel("Tu") + plt.title("Turbulence intensity profile") + plt.grid() + fig.text(0.05, 0.01, f"ntrfc.meshquality.nondimensionals@{ntrfc.__version__}", fontsize=16, color="grey", alpha=0.5) + + plt.savefig(figpath) + plt.close() + + return figpath + + +def blade_deltas( + case_instance: GenericCascadeCase, + figpath: str = None, +) -> str: + if not figpath: + figpath = tempfile.mkdtemp() + "/blade_deltas.png" + + grid = case_instance.mesh_dict["fluid"] + blade = case_instance.mesh_dict["blade"] + velocity_arrayname = case_instance.case_meta.meanvelocity_name + density_arrayname = case_instance.case_meta.meandensity_name + mu_ref = case_instance.case_meta.dynamic_viscosity + + dimless_gridspacings = calc_dimensionless_gridspacing(grid, [blade], velocity_arrayname, density_arrayname, mu_ref) + delta_cells_one = dimless_gridspacings.slice(normal="z") + delta_cc_one = delta_cells_one.cell_centers() + + blade = Blade2D(delta_cc_one) + blade.compute_all_frompoints() + + pspoly_one = blade.ps_pv + sspoly_one = blade.ss_pv + + ps_delta_one = pspoly_one.interpolate(delta_cc_one) + ss_delta_one = sspoly_one.interpolate(delta_cc_one) + + x0_one = ps_delta_one.points[0][0] + x1_one = ps_delta_one.points[-1][0] + + ps_rc_one = (ps_delta_one.points[::, 0] - x0_one) / (x1_one - x0_one) + ss_rc_one = (ss_delta_one.points[::, 0] - x0_one) / (x1_one - x0_one) + + fig, axes = plt.subplots(3, 1, figsize=(15, 10)) + + axes[0].grid(axis="y") + axes[0].plot(ss_rc_one * -1, ss_delta_one.point_data["DeltaXPlus"], color='c', label='ps') + axes[0].plot(ps_rc_one, ps_delta_one.point_data["DeltaXPlus"], color='c', linestyle='dashed', label='ss') + + axes[0].set_title('DeltaXPlus') + axes[0].set_xlabel(r'$x/c_{ax}$') + axes[0].set_ylabel(r'$\Delta \xi^{+}$', rotation=0, size=15, labelpad=20) + # axes[0].set_ylim(0,60) + axes[0].legend() + + constrained_y_ticks_2 = [1, 2, 3, 4] + axes[1].set_yticks(constrained_y_ticks_2) + axes[1].grid(axis="y") + axes[1].plot(ss_rc_one * -1, ss_delta_one.point_data["DeltaYPlus"], color='c', label='ps') + axes[1].plot(ps_rc_one, ps_delta_one.point_data["DeltaYPlus"], color='c', linestyle='dashed', label='ss') + + axes[1].set_title('DeltaYPlus') + axes[1].set_xlabel(r'$x/c_{ax}$') + axes[1].set_ylabel(r'$\Delta \eta^{+}$', rotation=0, size=15, labelpad=20) + # axes[1].set_ylim(0,4) + + constrained_y_ticks_3 = [25, 50] + axes[2].set_yticks(constrained_y_ticks_3) + axes[2].grid(axis="y") + + axes[2].plot(ss_rc_one * -1, ss_delta_one.point_data["DeltaZPlus"], color='c', label='ps') + axes[2].plot(ps_rc_one, ps_delta_one.point_data["DeltaZPlus"], color='c', linestyle='dashed', label='ss') + + axes[2].set_title('DeltaZPlus') + axes[2].set_xlabel(r'$x/c_{ax}$') + # axes[2].set_ylim(0,60) + axes[2].set_ylabel(r'$\Delta \zeta^{+}$', rotation=0, size=15, labelpad=20) + fig.text(0.05, 0.01, f"ntrfc.meshquality.nondimensionals@{ntrfc.__version__}", fontsize=16, color="grey", alpha=0.5) + + plt.tight_layout() + + # Show the plot + plt.savefig(figpath) + + return figpath + + def blade_loading_cp( case_instance: GenericCascadeCase, - pressurevar: str = "pMean", - densityvar: str = "rhoMean", - velvar: str = "UMean", figpath: str = None ) -> tuple: if not figpath: figpath = tempfile.mkdtemp() + "/blade_loading_cp.png" + if not case_instance.blade: + raise ValueError("blade not initialized, run case.set_bladeslice_midz() first") + + pressurevar = case_instance.case_meta.meanpressure_name # "pMean", + densityvar = case_instance.case_meta.meandensity_name # "rhoMean", + velvar = case_instance.case_meta.meanvelocity_name + inlet = case_instance.mesh_dict["inlet"] inlet["u"] = inlet[velvar][::, 0] inlet["v"] = inlet[velvar][::, 1] @@ -45,8 +287,6 @@ def blade_loading_cp( ps_cp = np.zeros(psmeshpoints.number_of_points) for idx, pts1 in enumerate(psmeshpoints.points): - #minmax norm ps_xc - ps_xc[idx] = (pts1[0] - px_min) / cax_len ps_cp[idx] = calc_inflow_cp(psmeshpoints.point_data[pressurevar][idx], pt1, p1) @@ -59,8 +299,8 @@ def blade_loading_cp( plt.figure() plt.title("blade loading") - plt.scatter(ss_xc, ss_cp, label="suction side") - plt.scatter(ps_xc, ps_cp, label="pressure side") + plt.plot(ss_xc, ss_cp, label="suction side") + plt.plot(ps_xc, ps_cp, label="pressure side") plt.xlabel("$x/c_{ax}$") plt.ylabel("$c_{p}$") plt.grid() @@ -71,21 +311,73 @@ def blade_loading_cp( return ss_xc, ss_cp, ps_xc, ps_cp, figpath -def blade_loading_mais(case_instance, pressurevar="pMean", densityvar="rhoMean", velvar="UMean", - figpath=tempfile.mkdtemp() + "/blade_loading_mais.png", kappa=1.4): +def blade_loading_absolute( + case_instance: GenericCascadeCase, + figpath: str = None +) -> tuple: + if not figpath: + figpath = tempfile.mkdtemp() + "/blade_loading_abs.png" + + if not case_instance.blade: + raise ValueError("blade not initialized, run case.set_bladeslice_midz() first") + + pressurevar = case_instance.case_meta.meanpressure_name + velvar = case_instance.case_meta.meanvelocity_name + + inlet = case_instance.mesh_dict["inlet"] + inlet["u"] = inlet[velvar][::, 0] + inlet["v"] = inlet[velvar][::, 1] + inlet["w"] = inlet[velvar][::, 2] + + px_min = np.min(case_instance.blade.ps_pv.points[:, 0]) + px_max = np.max(case_instance.blade.ps_pv.points[:, 0]) + cax_len = px_max - px_min + + ssmeshpoints = case_instance.blade.ss_pv + psmeshpoints = case_instance.blade.ps_pv + + ps_xc = np.zeros(psmeshpoints.number_of_points) + ps_cp = np.zeros(psmeshpoints.number_of_points) + + for idx, pts1 in enumerate(psmeshpoints.points): + ps_xc[idx] = (pts1[0] - px_min) / cax_len + ps_cp[idx] = psmeshpoints.point_data[pressurevar][idx] + + ss_xc = np.zeros(ssmeshpoints.number_of_points) + ss_cp = np.zeros(ssmeshpoints.number_of_points) + + for idx, pts1 in enumerate(ssmeshpoints.points): + ss_xc[idx] = (pts1[0] - px_min) / cax_len + ss_cp[idx] = ssmeshpoints.point_data[pressurevar][idx] + + plt.figure() + plt.title("blade loading") + plt.plot(ss_xc, ss_cp, label="suction side") + plt.plot(ps_xc, ps_cp, label="pressure side") + plt.xlabel("$x/c_{ax}$") + plt.ylabel("$p$") + plt.grid() + plt.legend() + plt.savefig(figpath) + plt.close() + + return ss_xc, ss_cp, ps_xc, ps_cp, figpath + + +def blade_loading_mais(case_instance, + figpath=tempfile.mkdtemp() + "/blade_loading_mais.png"): + pressurevar = case_instance.case_meta.meanpressure_name + densityvar = case_instance.case_meta.meandensity_name + velvar = case_instance.case_meta.meanvelocity_name + kappa = case_instance.case_meta.kappa + camber_length = case_instance.blade.camber_length inlet = case_instance.mesh_dict["inlet"] + inlet["u"] = inlet[velvar][::, 0] inlet["v"] = inlet[velvar][::, 1] inlet["w"] = inlet[velvar][::, 2] - # p1 = massflowave_plane(inlet, valname=pressurevar, rhoname=densityvar, velocityname=velvar) - # rho = massflowave_plane(inlet, valname=densityvar, rhoname=densityvar, velocityname=velvar) - # u = massflowave_plane(inlet, valname="u", rhoname=densityvar, velocityname=velvar) - # v = massflowave_plane(inlet, valname="v", rhoname=densityvar, velocityname=velvar) - # w = massflowave_plane(inlet, valname="w", rhoname=densityvar, velocityname=velvar) - # U = vecAbs([u, v, w]) - # pt1 = p1 + 1 / 2 * rho * U ** 2 ssmeshpoints = case_instance.blade.ss_pv psmeshpoints = case_instance.blade.ps_pv @@ -93,18 +385,18 @@ def blade_loading_mais(case_instance, pressurevar="pMean", densityvar="rhoMean", ps_xc = np.zeros(psmeshpoints.number_of_points) ps_cp = np.zeros(psmeshpoints.number_of_points) - pressure_inlet = massflowave_plane(case_instance.mesh_dict["inlet"], valname=pressurevar, rhoname=densityvar, + pressure_inlet = massflowave_plane(inlet, valname=pressurevar, rhoname=densityvar, velocityname=velvar) - density_inlet = massflowave_plane(case_instance.mesh_dict["inlet"], valname=densityvar, rhoname=densityvar, + density_inlet = massflowave_plane(inlet, valname=densityvar, rhoname=densityvar, velocityname=velvar) - case_instance.mesh_dict["inlet"]["u"] = case_instance.mesh_dict["inlet"][velvar][::, 0] - case_instance.mesh_dict["inlet"]["v"] = case_instance.mesh_dict["inlet"][velvar][::, 1] - case_instance.mesh_dict["inlet"]["w"] = case_instance.mesh_dict["inlet"][velvar][::, 2] - velocity_inlet_u = massflowave_plane(case_instance.mesh_dict["inlet"], valname="u", rhoname=densityvar, + inlet["u"] = inlet[velvar][::, 0] + inlet["v"] = inlet[velvar][::, 1] + inlet["w"] = inlet[velvar][::, 2] + velocity_inlet_u = massflowave_plane(inlet, valname="u", rhoname=densityvar, velocityname=velvar) - velocity_inlet_v = massflowave_plane(case_instance.mesh_dict["inlet"], valname="v", rhoname=densityvar, + velocity_inlet_v = massflowave_plane(inlet, valname="v", rhoname=densityvar, velocityname=velvar) - velocity_inlet_w = massflowave_plane(case_instance.mesh_dict["inlet"], valname="w", rhoname=densityvar, + velocity_inlet_w = massflowave_plane(inlet, valname="w", rhoname=densityvar, velocityname=velvar) velocity_inlet = vecAbs(np.array([velocity_inlet_u, velocity_inlet_v, velocity_inlet_w])) totalpressure_inlet = pressure_inlet + 0.5 * density_inlet * velocity_inlet ** 2 @@ -124,8 +416,8 @@ def blade_loading_mais(case_instance, pressurevar="pMean", densityvar="rhoMean", plt.figure() plt.title("blade loading") - plt.scatter(ss_xc, ss_cp, label="suction side") - plt.scatter(ps_xc, ps_cp, label="pressure side") + plt.plot(ss_xc, ss_cp, label="suction side") + plt.plot(ps_xc, ps_cp, label="pressure side") plt.xlabel("$x/c_{ax}$") plt.ylabel("$Ma_{is}$") plt.grid() @@ -135,34 +427,53 @@ def blade_loading_mais(case_instance, pressurevar="pMean", densityvar="rhoMean", return ss_xc, ss_cp, ps_xc, ps_cp, figpath -def compute_avdr_inout_massave(case_instance, densityvar="rhoMean", velvar="UMean", ): - case_instance.mesh_dict["inlet"]["u"] = case_instance.mesh_dict["inlet"][velvar][::, 0] - case_instance.mesh_dict["inlet"]["v"] = case_instance.mesh_dict["inlet"][velvar][::, 1] - case_instance.mesh_dict["inlet"]["w"] = case_instance.mesh_dict["inlet"][velvar][::, 2] +def compute_avdr_inout_massave(case_instance): + densityvar = case_instance.case_meta.meandensity_name + velvar = case_instance.case_meta.meanvelocity_name - case_instance.mesh_dict["outlet"]["u"] = case_instance.mesh_dict["outlet"][velvar][::, 0] - case_instance.mesh_dict["outlet"]["v"] = case_instance.mesh_dict["outlet"][velvar][::, 1] - case_instance.mesh_dict["outlet"]["w"] = case_instance.mesh_dict["outlet"][velvar][::, 2] - rho_1 = massflowave_plane(case_instance.mesh_dict["inlet"], valname=densityvar, rhoname=densityvar, + inlet = case_instance.mesh_dict["inlet"] + inlet["u"] = inlet[velvar][::, 0] + inlet["v"] = inlet[velvar][::, 1] + inlet["w"] = inlet[velvar][::, 2] + + outlet = case_instance.mesh_dict["outlet"] + outlet["u"] = outlet[velvar][::, 0] + outlet["v"] = outlet[velvar][::, 1] + outlet["w"] = outlet[velvar][::, 2] + rho_1 = massflowave_plane(inlet, valname=densityvar, rhoname=densityvar, velocityname=velvar) mag_u_1 = vecAbs( - np.array([massflowave_plane(case_instance.mesh_dict["inlet"], "u", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["inlet"], "v", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["inlet"], "w", rhoname=densityvar, velocityname=velvar)])) + np.array([massflowave_plane(inlet, "u", rhoname=densityvar, velocityname=velvar), + massflowave_plane(inlet, "v", rhoname=densityvar, velocityname=velvar), + massflowave_plane(inlet, "w", rhoname=densityvar, velocityname=velvar)])) U_1 = np.stack( - [massflowave_plane(case_instance.mesh_dict["inlet"], "u", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["inlet"], "v", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["inlet"], "w", rhoname=densityvar, velocityname=velvar)]) + [massflowave_plane(inlet, "u", rhoname=densityvar, velocityname=velvar), + massflowave_plane(inlet, "v", rhoname=densityvar, velocityname=velvar), + massflowave_plane(inlet, "w", rhoname=densityvar, velocityname=velvar)]) beta_1 = vecAngle(U_1, np.array([1, 0, 0])) - rho_2 = massflowave_plane(case_instance.mesh_dict["outlet"], densityvar, rhoname=densityvar, velocityname=velvar) + rho_2 = massflowave_plane(outlet, densityvar, rhoname=densityvar, velocityname=velvar) U_2 = np.stack( - [massflowave_plane(case_instance.mesh_dict["outlet"], "u", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["outlet"], "v", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["outlet"], "w", rhoname=densityvar, velocityname=velvar)]) + [massflowave_plane(outlet, "u", rhoname=densityvar, velocityname=velvar), + massflowave_plane(outlet, "v", rhoname=densityvar, velocityname=velvar), + massflowave_plane(outlet, "w", rhoname=densityvar, velocityname=velvar)]) mag_u_2 = vecAbs(np.array( - [massflowave_plane(case_instance.mesh_dict["outlet"], "u", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["outlet"], "v", rhoname=densityvar, velocityname=velvar), - massflowave_plane(case_instance.mesh_dict["outlet"], "w", rhoname=densityvar, velocityname=velvar)])) + [massflowave_plane(outlet, "u", rhoname=densityvar, velocityname=velvar), + massflowave_plane(outlet, "v", rhoname=densityvar, velocityname=velvar), + massflowave_plane(outlet, "w", rhoname=densityvar, velocityname=velvar)])) beta_2 = vecAngle(U_2, np.array([1, 0, 0])) case_instance.avdr = avdr(rho_1, mag_u_1, beta_1, rho_2, mag_u_2, beta_2) return case_instance.avdr + + +def cascadecase_contour(case_instance, varname, figpath=None): + if not figpath: + figpath = tempfile.mkdtemp() + f"/contour_{varname}.png" + + grid = case_instance.mesh_dict["fluid"] + slicez = grid.slice(normal="z") + p = pv.Plotter(off_screen=True) + p.add_mesh(slicez, scalars=case_instance.case_meta.casevariables(varname), show_scalar_bar=True) + p.view_xy() + p.show(screenshot=figpath) + + return figpath diff --git a/ntrfc/turbo/cascade_case/utils/domain_utils.py b/ntrfc/turbo/cascade_case/utils/domain_utils.py index 16ffc3be108beaa070635c285205bf92d5ac527d..23d45ed5be951df19ad5b9a0d021802868a86747 100644 --- a/ntrfc/turbo/cascade_case/utils/domain_utils.py +++ b/ntrfc/turbo/cascade_case/utils/domain_utils.py @@ -32,10 +32,10 @@ class Blade2D: if isinstance(points, pv.PolyData): self.origpoints_pv = points - print("working with pv.PolyData, dataarrays can be used for postprocessing") + print("[ntrfc info] working with pv.PolyData, dataarrays can be used for postprocessing") elif isinstance(points, np.ndarray): self.origpoints_pv = pv.PolyData(points) - print("working with np.ndarray pointcloud. No dataarrays cab be used for postprocessing") + print("[ntrfc info]working with np.ndarray pointcloud. No dataarrays cab be used for postprocessing") def compute_polygon(self, alpha=None): unique_points = np.unique(self.origpoints_pv.points, axis=0) @@ -64,7 +64,6 @@ class Blade2D: def compute_lete(self): self.ile, self.ite = extract_vk_hk(self.sortedpoints_pv) - def compute_rolledblade(self): ids = np.roll(np.arange(self.sortedpoints_pv.number_of_points), -self.ile) newSortedPoly = pv.PolyData() @@ -75,9 +74,8 @@ class Blade2D: self.ile_rolled = 0 self.sortedpoints_pv_rolled = newSortedPoly - def extract_sides(self): - self.ps_pv, self.ss_pv = extractSidePolys(self.ite,self.ile, self.sortedpoints_pv) + self.ps_pv, self.ss_pv = extractSidePolys(self.ite, self.ile, self.sortedpoints_pv) def compute_skeleton(self): self.skeletonline_pv = midline_from_sides(self.ps_pv, self.ss_pv) @@ -99,7 +97,7 @@ class Blade2D: self.compute_stats() self.compute_rolledblade() - def plot(self, figurepath=tempfile.mkdtemp() + "/plot.png", window_size=[2400, 2400],off_screen=True): + def plot(self, figurepath=tempfile.mkdtemp() + "/plot.png", window_size=[2400, 2400], off_screen=True): sfactor = window_size[0] / 200 p = pv.Plotter(off_screen=off_screen) p.add_mesh(self.ps_pv, color="red", label="pressure side", line_width=1) diff --git a/ntrfc/turbo/cascade_case/utils/probecontainer.py b/ntrfc/turbo/cascade_case/utils/probecontainer.py index 1b0ba96a08b06069a763be8e4e833684856947e3..6e226c1e92c715755948a756bea4ae66d0ab55ae 100644 --- a/ntrfc/turbo/cascade_case/utils/probecontainer.py +++ b/ntrfc/turbo/cascade_case/utils/probecontainer.py @@ -1,6 +1,6 @@ import tempfile from dataclasses import dataclass, field -import matplotlib + import matplotlib.pyplot as plt import numpy as np diff --git a/ntrfc/turbo/domaingen_cascade.py b/ntrfc/turbo/domaingen_cascade.py index ba56a5d1d760eba5e51a7ebbb7525ca5894413a5..53dc5e19a059504e3e400cc57f13e3704c3989e4 100644 --- a/ntrfc/turbo/domaingen_cascade.py +++ b/ntrfc/turbo/domaingen_cascade.py @@ -119,6 +119,6 @@ def cascade_3d_domain(sortedPoly, psPoly, ssPoly, per_y_upper, per_y_lower, inle p.screenshot(path) return sortedPoly_lowz, sortedPoly_high, per_y_upper_lowz, per_y_upper_highz, \ - per_y_lower_lowz, per_y_lower_highz, \ - inletPoly_lowz, inletPoly_highz, \ - outletPoly_lowz, outletPoly_highz + per_y_lower_lowz, per_y_lower_highz, \ + inletPoly_lowz, inletPoly_highz, \ + outletPoly_lowz, outletPoly_highz diff --git a/ntrfc/turbo/gmsh/windtunnel_cascade.py b/ntrfc/turbo/gmsh/windtunnel_cascade.py index f31b84aea3b00980ec3d7648b3092370620271f1..88ee9ec0c61af8d4ec22a75ecba8e82373296ada 100644 --- a/ntrfc/turbo/gmsh/windtunnel_cascade.py +++ b/ntrfc/turbo/gmsh/windtunnel_cascade.py @@ -107,7 +107,7 @@ def create_mesh(domain2d: CascadeWindTunnelDomain2D, blade_splines_gmsh[f"{name}_te_halfps"] = gmsh.model.occ.add_spline( [*pointlist[te_index:ps_half_idx], pointlist[ps_half_idx]]) blade_splines_gmsh[f"{name}_halfps_le"] = gmsh.model.occ.add_spline( - [*pointlist[ps_half_idx:]])#pointlist[0] + [*pointlist[ps_half_idx:]]) # pointlist[0] gmsh.model.occ.synchronize() # Boundary layer f = gmsh.model.mesh.field.add('BoundaryLayer') diff --git a/ntrfc/turbo/pointcloud_methods.py b/ntrfc/turbo/pointcloud_methods.py index f5c714dd36e1cf4590cea3cd12ec5d4ee19bda03..f2c44e0081104dce59297b16a133f089abc14c39 100644 --- a/ntrfc/turbo/pointcloud_methods.py +++ b/ntrfc/turbo/pointcloud_methods.py @@ -4,22 +4,22 @@ import pyvista as pv from ntrfc.geometry.line import refine_spline, polyline_from_points -def midline_from_sides(ps_poly, ss_poly,res =100): +def midline_from_sides(ps_poly, ss_poly, res=100): x_ps, y_ps = ps_poly.points[::, 0], ps_poly.points[::, 1] x_ss, y_ss = ss_poly.points[::, 0], ss_poly.points[::, 1] z = ps_poly.points[0][2] midsres = res if x_ps[0] > x_ps[-1]: - ax, ay = refine_spline(x_ps[::-1], y_ps[::-1], midsres,kind="linear") + ax, ay = refine_spline(x_ps[::-1], y_ps[::-1], midsres, kind="linear") else: - ax, ay = refine_spline(x_ps, y_ps, midsres,kind="linear") + ax, ay = refine_spline(x_ps, y_ps, midsres, kind="linear") if x_ss[0] > x_ss[-1]: - bx, by = refine_spline(x_ss[::-1], y_ss[::-1], midsres,kind="linear") + bx, by = refine_spline(x_ss[::-1], y_ss[::-1], midsres, kind="linear") else: - bx, by = refine_spline(x_ss, y_ss, midsres,kind="linear") + bx, by = refine_spline(x_ss, y_ss, midsres, kind="linear") xmids, ymids = ((ax + bx) / 2, (ay + by) / 2) - midsPoly = polyline_from_points(np.stack((xmids,ymids, z * np.ones(len(ymids)))).T) + midsPoly = polyline_from_points(np.stack((xmids, ymids, z * np.ones(len(ymids)))).T) return midsPoly diff --git a/ntrfc/turbo/profile_tele_extraction.py b/ntrfc/turbo/profile_tele_extraction.py index c12b5d0abf525d3afc1a3201ebeb9afe0e1beb8b..65fd24f4307f42a96243eaddb81650cc140706fb 100644 --- a/ntrfc/turbo/profile_tele_extraction.py +++ b/ntrfc/turbo/profile_tele_extraction.py @@ -10,7 +10,7 @@ from shapely.geometry import Polygon, LineString from ntrfc.math.vectorcalc import findNearest, vecDir -def filter_voronoi_sites(voronoi_sites_3d,sortedPoly,refinedPoints): +def filter_voronoi_sites(voronoi_sites_3d, sortedPoly, refinedPoints): points_3d = voronoi_sites_3d # Create an Open3D PointCloud object @@ -27,15 +27,15 @@ def filter_voronoi_sites(voronoi_sites_3d,sortedPoly,refinedPoints): lower = 75 while goals != 512: - if start_size <=0: + if start_size <= 0: start_size = 0.00025 pcd_new = pcd.voxel_down_sample(voxel_size=start_size) if len(pcd_new.points) > upper: - start_size += 0.0005*np.random.rand() + start_size += 0.0005 * np.random.rand() elif len(pcd_new.points) < lower: - start_size -= 0.0005*np.random.rand() + start_size -= 0.0005 * np.random.rand() elif (lower <= len(pcd_new.points) <= upper): goals += 1 @@ -56,10 +56,10 @@ def filter_voronoi_sites(voronoi_sites_3d,sortedPoly,refinedPoints): goal_le.append(le_ind) goal_te.append(te_ind) - start_size += (np.random.rand()-0.5)*1e-3 + start_size += (np.random.rand() - 0.5) * 1e-3 - #o3d.visualization.draw_geometries([pcd]) # open3d.visualization.draw_geometries([outlier_cloud]) - return np.bincount(goal_le).argmax(),np.bincount(goal_te).argmax() + # o3d.visualization.draw_geometries([pcd]) # open3d.visualization.draw_geometries([outlier_cloud]) + return np.bincount(goal_le).argmax(), np.bincount(goal_te).argmax() def extract_vk_hk(sortedPoly: pv.PolyData) -> (int, int): @@ -69,10 +69,10 @@ def extract_vk_hk(sortedPoly: pv.PolyData) -> (int, int): points_2d_closed_refined_voronoi = pointcloud_to_profile(points_orig, voronoires) voronoi_sites = voronoi_skeleton_sites(points_2d_closed_refined_voronoi) - le_ind, te_ind = filter_voronoi_sites(np.stack([voronoi_sites[:, 0], voronoi_sites[:, 1], np.zeros(len(voronoi_sites))]).T, - sortedPoly.points, - points_2d_closed_refined_voronoi) - + le_ind, te_ind = filter_voronoi_sites( + np.stack([voronoi_sites[:, 0], voronoi_sites[:, 1], np.zeros(len(voronoi_sites))]).T, + sortedPoly.points, + points_2d_closed_refined_voronoi) return le_ind, te_ind @@ -109,7 +109,7 @@ def skeletonline_completion(diag_dist, points, points_2d_closed_refined, sites_r def voronoi_skeleton_sites(points_2d_closed_refined_voronoi): vor = Voronoi(points_2d_closed_refined_voronoi) - polygon = shapely.geometry.Polygon(points_2d_closed_refined_voronoi)#.convex_hull + polygon = shapely.geometry.Polygon(points_2d_closed_refined_voronoi) # .convex_hull is_inside = [shapely.geometry.Point(i).within(polygon) for i in vor.vertices] voronoi_sites_inside = vor.vertices[is_inside] @@ -119,7 +119,6 @@ def voronoi_skeleton_sites(points_2d_closed_refined_voronoi): return sites_inside_sorted - def pointcloud_to_profile(points, res): tck, u = splprep(points.T, u=None, s=0.0, per=1, k=3) u_new = np.linspace(u.min(), u.max(), res) diff --git a/pyproject.toml b/pyproject.toml index 2798d05cf6c3bf7ef205c1ed496f1f2f5d7c46c6..42b943002eeb30b6296c63b863df26686a868800 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "ntrfc" -version = "0.2.2" +version = "0.2.3" description = "Numerical Test Rig for Cascades. A workflows-library for CFD analysis of cascade-flows" authors = [ {name = "Malte Nyhuis", email = "nyhuis@tfd.uni-hannover.de"} diff --git a/requirements_dev.txt b/requirements_dev.txt index 90fc3b80ed25a3a60f17a6eef1786c077c89ef16..f0b0f2d1efa7e9c421e71a59a7b596377ebcfb10 100644 --- a/requirements_dev.txt +++ b/requirements_dev.txt @@ -1,5 +1,6 @@ pipreqs==0.4.11 pytest-cov +pytest-xdist coverage profilehooks twine diff --git a/setup.cfg b/setup.cfg index 479ea2006d1a5066fecbeb5d92c1a3776e45fda7..c628960917e93beb99db533ff471ab27eead75dc 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.2.2 +current_version = 0.2.3 commit = True tag = True diff --git a/singularitybuild/ntrfc_container.def b/singularitybuild/ntrfc_container.def index f87b529d9adb2ccf719fd4a9e83bc4b4576b1399..4689c4990739e5b18eb9b772de7640d97bf0babb 100644 --- a/singularitybuild/ntrfc_container.def +++ b/singularitybuild/ntrfc_container.def @@ -2,13 +2,13 @@ Bootstrap: docker From: ubuntu:20.04 %labels - Version v0.0.3 + Version v0.0.4 %help - With the python system-installatioon of this container can access all the ntrfc functionality - The container can render images. + The container’s Python installation provides full access to all NTRfC functionality and supports image rendering. + Use cases can be found here: + https://gitlab.uni-hannover.de/tfd_public/tools/NTRFlows - Example cases will follow %environment export LIBGL_ALWAYS_INDIRECT=0 @@ -56,9 +56,9 @@ From: ubuntu:20.04 export PYENV_ROOT=/opt/pyenv export PATH="/opt/pyenv/bin:$PATH" wget -O- https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash - pyenv install 3.10.8 - echo 'export PATH=/opt/pyenv/versions/3.10.8/bin/:$PATH' >> $SINGULARITY_ENVIRONMENT - export PATH=/opt/pyenv/versions/3.10.8/bin/:$PATH + pyenv install 3.11.10 + echo 'export PATH=/opt/pyenv/versions/3.11.10/bin/:$PATH' >> $SINGULARITY_ENVIRONMENT + export PATH=/opt/pyenv/versions/3.11.10/bin/:$PATH apt install python3-wheel -y diff --git a/tests/filehandling/test_ntrfc_mesh.py b/tests/filehandling/test_ntrfc_mesh.py index 0a23c345baa9a54c838cad778f7aa7557ae114c0..08422c71176158a225297e5a5504f0e225a4e539 100644 --- a/tests/filehandling/test_ntrfc_mesh.py +++ b/tests/filehandling/test_ntrfc_mesh.py @@ -15,6 +15,13 @@ def test_loadmesh_vtk(tmpdir): mesh_load = load_mesh(test_file) assert "Density" in mesh_load.array_names + test_file = tmpdir / "tmp.vtp" + mesh = pv.Box() + mesh["Density"] = np.ones(mesh.number_of_cells) + mesh.save(test_file) + mesh_load = load_mesh(test_file) + assert "Density" in mesh_load.array_names + def test_loadmesh_cgns(tmpdir): from ntrfc.filehandling.mesh import load_mesh @@ -86,14 +93,42 @@ def test_read_vtk(tmpdir): assert isinstance(mesh, (pv.UnstructuredGrid, pv.StructuredGrid)) -# -# def test_read_vtm(): -# mesh = read_vtm(VTM_FILE) -# assert isinstance(mesh, (pv.UnstructuredGrid, pv.StructuredGrid)) - def test_read_cgns(): from pyvista import examples from ntrfc.filehandling.mesh import read_cgns CGNS_FILE = examples.download_cgns_structured(load=False) mesh = read_cgns(CGNS_FILE) assert isinstance(mesh, (pv.UnstructuredGrid, pv.StructuredGrid)) + + +def test_read_msh(): + import gmsh + from ntrfc.filehandling.mesh import load_mesh + + gmsh.initialize() + gmsh.model.add("t1") + + lc = 1e-2 + gmsh.model.geo.addPoint(0, 0, 0, lc, 1) + + gmsh.model.geo.addPoint(.1, 0, 0, lc, 2) + gmsh.model.geo.addPoint(.1, .3, 0, lc, 3) + p4 = gmsh.model.geo.addPoint(0, .3, 0, lc) + + gmsh.model.geo.addLine(1, 2, 1) + gmsh.model.geo.addLine(3, 2, 2) + gmsh.model.geo.addLine(3, p4, 3) + gmsh.model.geo.addLine(4, 1, p4) + + gmsh.model.geo.addCurveLoop([4, 1, -2, 3], 1) + + gmsh.model.geo.addPlaneSurface([1], 1) + + gmsh.model.geo.synchronize() + + gmsh.model.mesh.generate(2) + gmsh.write("t1.msh") + gmsh.finalize() + + mesh = load_mesh("t1.msh") + assert isinstance(mesh, (pv.UnstructuredGrid, pv.StructuredGrid)) diff --git a/tests/geometry/test_ntrfc_alphashape.py b/tests/geometry/test_ntrfc_alphashape.py index e2a10bc34bef6815b6500d7854ddcbd1b5d7e957..c221a95e618218f567626311aa88cb0fa958c8a6 100644 --- a/tests/geometry/test_ntrfc_alphashape.py +++ b/tests/geometry/test_ntrfc_alphashape.py @@ -53,4 +53,4 @@ def test_calc_optimize_alphashape(): xs, ys, alpha = auto_concaveHull(points[::, 0], points[::, 1]) - assert abs(len(xs)-len(X)) <= 1 + assert abs(len(xs) - len(X)) <= 1 diff --git a/tests/geometry/test_ntrfc_geometry.py b/tests/geometry/test_ntrfc_geometry.py index c50c07fd309f0bce155aa39eb4ae24a363de595c..6f8793f25d853579255b741e73f05f38ecf5283e 100644 --- a/tests/geometry/test_ntrfc_geometry.py +++ b/tests/geometry/test_ntrfc_geometry.py @@ -20,7 +20,7 @@ def test_extract_vk_hk(verbose=False): angle = 0 # deg res = 512 xs, ys = naca(naca_code, res, half_cosine_spacing=False, finite_te=False) - xs_n, ys_n,_ = auto_concaveHull(xs,ys) + xs_n, ys_n, _ = auto_concaveHull(xs, ys) sorted_poly = pv.PolyData(np.stack([xs_n, ys_n, np.zeros(len(xs_n))]).T) sorted_poly.rotate_z(angle, inplace=True) @@ -34,12 +34,8 @@ def test_extract_vk_hk(verbose=False): p.view_xy() p.show() - assert all(sorted_poly.points[np.argmax(sorted_poly.points[:,0])] == sorted_poly.points[ind_hk]) - assert all(sorted_poly.points[np.argmin(sorted_poly.points[:,0])] == sorted_poly.points[ind_vk]) - - - - + assert all(sorted_poly.points[np.argmax(sorted_poly.points[:, 0])] == sorted_poly.points[ind_hk]) + assert all(sorted_poly.points[np.argmin(sorted_poly.points[:, 0])] == sorted_poly.points[ind_vk]) def test_midline_from_sides(verbose=False): diff --git a/tests/math/test_ntrfc_methods.py b/tests/math/test_ntrfc_methods.py index c91b416405da39b5f48c92215650ed29e11c1394..df527a849e4e21863f8265765b8f1c1341b6a4d6 100644 --- a/tests/math/test_ntrfc_methods.py +++ b/tests/math/test_ntrfc_methods.py @@ -2,7 +2,7 @@ import numpy as np import pyvista as pv from ntrfc.math.methods import calcAnisoMatrix, calcAnisoEigs, C_barycentric, autocorr, zero_crossings, reldiff, \ - return_intersection, is_equidistant, autocorrelate, minmax_normalize + return_intersection, is_equidistant, autocorrelate, minmax_normalize, find_nearest from ntrfc.timeseries.stationarity import estimate_error_jacknife @@ -274,3 +274,10 @@ def test_minmax_normalize(): input_array = np.array([-3, -1, 0, 2, 5]) expected_output = np.array([0., 0.25, 0.375, 0.625, 1.]) assert np.allclose(minmax_normalize(input_array), expected_output) + + +def test_find_nearest(): + array = np.array([1, 2, 3, 4, 5]) + value = 3.01 + idx = find_nearest(array, value) + assert idx == 2, f"Expected 2, got {idx}" diff --git a/tests/meshquality/test_ntrfc_nondimensionals.py b/tests/meshquality/test_ntrfc_nondimensionals.py index ea6b5adfe6ae7e83841bf89c3ad702e5352aaf7b..63c75794531b5cd2859c2c1be73aa71e9c807230 100644 --- a/tests/meshquality/test_ntrfc_nondimensionals.py +++ b/tests/meshquality/test_ntrfc_nondimensionals.py @@ -1,18 +1,18 @@ import numpy as np import pyvista as pv -from ntrfc.meshquality.nondimensionals import compute_scalar_gradient, constructWallMesh, cellDirections +from ntrfc.meshquality.nondimensionals import compute_scalar_gradient, construct_wallmesh, cell_directions def test_cellspans(): - from ntrfc.meshquality.nondimensionals import cellSpans + from ntrfc.meshquality.nondimensionals import cell_spans # 11**3 nodes are enough height = 2 width = 1 length = 1 nodes = 11 # needs to be something simple - mu_0 = 1 # dynamic viscosity + # mu_0 = 1 # dynamic viscosity rho = 1 velocity = 2 gradient = velocity / height @@ -48,7 +48,7 @@ def test_cellspans(): range(upperwall.number_of_cells)] lowerwall["rho"] = np.ones(lowerwall.number_of_cells) * rho upperwall["rho"] = np.ones(upperwall.number_of_cells) * rho - surface = constructWallMesh([lowerwall, upperwall]) + surface = construct_wallmesh([lowerwall, upperwall]) surfacenormals_surface = surface.extract_surface().compute_normals() walladjacentids = grid.find_containing_cell(surfacenormals_surface.points) volmesh_walladjacent = grid.extract_cells(walladjacentids) @@ -57,82 +57,13 @@ def test_cellspans(): volmesh_walladjacent["wallNormal"] = [ surfacenormals_surface.point_data["Normals"][surfacenormals_surface.find_closest_point(i)] for i in volmesh_walladjacent.points] - spans = np.array(cellSpans(volmesh_walladjacent, "U")) + spans = np.array(cell_spans(volmesh_walladjacent, "U")) assert np.all(np.isclose(spans[::, 0], span_x)) assert np.all(np.isclose(spans[::, 1], span_y)) assert np.all(np.isclose(spans[::, 2], span_z)) -def test_calc_dimensionless_gridspacing(): - """ - this method tests the nondimensional gridspacing postprocessing function calc_dimensionless_gridspacing - a volume mesh will be created. boundary meshes will be extracted of the volume mesh. - then a simple couette-velocity-field is defined - - calc_dimensionless_gridspacing needs to compute accurately the Delta+-Values - - """ - from ntrfc.meshquality.nondimensionals import calc_dimensionless_gridspacing - import numpy as np - - def runtest(height, length, width): - # 11**3 nodes are enough - nodes = 11 - # needs to be something simple - mu_0 = 1 # dynamic viscosity - rho = 1 - velocity = 2 - gradient = velocity / height - # analytical solution_utils - span_x = width / (nodes - 1) - span_y = height / (nodes - 1) - span_z = length / (nodes - 1) - wallshearstress = mu_0 * gradient - wallshearvelocity = np.sqrt(wallshearstress / rho) - deltaxplus = wallshearvelocity * span_x / mu_0 - deltayplus = wallshearvelocity * span_y / mu_0 - deltazplus = wallshearvelocity * span_z / mu_0 - grid = structured_testgrid(height, length, nodes, width) - - # define velocityfield - bounds = grid.bounds - min_z = bounds[4] - grid["U"] = [gradient * (grid.cell_centers().points[::, 1][i] - min_z) * np.array([0, 0, 1]) for i in - range(grid.number_of_cells)] - grid["rho"] = np.ones(grid.number_of_cells) - # extract surface - surface = grid.extract_surface() - facecellids = surface.surface_indices() - upperwallids = [] - lowerwallids = [] - for faceid in facecellids: - cell = surface.extract_cells(faceid) - if all(cell.points[::, 1] == 0): - lowerwallids.append(faceid) - elif all(cell.points[::, 1] == height): - upperwallids.append(faceid) - lowerwall = surface.extract_cells(lowerwallids) - upperwall = surface.extract_cells(upperwallids) - lowerwall["U"] = [gradient * (lowerwall.cell_centers().points[::, 1][i] - min_z) * np.array([0, 0, 1]) for i in - range(lowerwall.number_of_cells)] - upperwall["U"] = [gradient * (upperwall.cell_centers().points[::, 1][i] - min_z) * np.array([0, 0, 1]) for i in - range(upperwall.number_of_cells)] - lowerwall["rho"] = np.ones(lowerwall.number_of_cells) * rho - upperwall["rho"] = np.ones(upperwall.number_of_cells) * rho - dimless_gridspacings = calc_dimensionless_gridspacing(grid, [lowerwall, upperwall], "U", "rho", mu_0) - assert all(np.isclose(deltazplus, dimless_gridspacings[ - "DeltaXPlus"], rtol=0.05)), "calc_dimensionelss_gridspcing in x direction not accurate" - assert all(np.isclose(deltayplus, dimless_gridspacings[ - "DeltaYPlus"], rtol=0.05)), "calc_dimensionelss_gridspcing in y direction not accurate" - assert all(np.isclose(deltaxplus, dimless_gridspacings[ - "DeltaZPlus"], rtol=0.05)), "calc_dimensionelss_gridspcing in z direction not accurate" - - runtest(height=1, length=1, width=1) - runtest(height=2, length=1, width=1) - runtest(height=1, length=2, width=1) - runtest(height=1, length=1, width=2) - def structured_testgrid(height, length, nodes, width): # define the mesh @@ -168,9 +99,9 @@ def test_calc_dimensionless_gridspacing(): velocity = 2 gradient = velocity / height # analytical solution_utils - span_x = width / (nodes - 1) + # span_x = width / (nodes - 1) span_y = height / (nodes - 1) - span_z = length / (nodes - 1) + # span_z = length / (nodes - 1) wallshearstress = mu_0 * gradient wallshearvelocity = np.sqrt(wallshearstress / rho) deltayplus = wallshearvelocity * span_y / 2 / mu_0 @@ -260,7 +191,7 @@ def test_compute_wallshearstress(): lowerwall["rho"] = np.ones(lowerwall.number_of_cells) * rho upperwall["rho"] = np.ones(upperwall.number_of_cells) * rho - surface = constructWallMesh([lowerwall, upperwall]) + surface = construct_wallmesh([lowerwall, upperwall]) surfacenormals_surface = surface.extract_surface().compute_normals() walladjacentids = grid.find_containing_cell(surfacenormals_surface.points) @@ -297,7 +228,7 @@ def test_compute_scalar_gradient(): [0., 2., 0.]]) # Compute the gradient and test it mesh = compute_scalar_gradient(grid, "U") - grad_array = mesh[f"grad_U"].reshape(mesh.number_of_cells, 3, 3) + grad_array = mesh["grad_U"].reshape(mesh.number_of_cells, 3, 3) assert np.all([np.all(np.isclose(expected, i)) for i in grad_array]) @@ -307,7 +238,7 @@ def test_constructWallMesh(): surface_2 = pv.Plane((1, 1, 1)) # Call the function with the test surfaces - result = constructWallMesh([surface_1, surface_2]) + result = construct_wallmesh([surface_1, surface_2]) # Check that the result is a valid UnstructuredGrid object assert isinstance(result, pv.UnstructuredGrid) @@ -323,5 +254,5 @@ def test_cellDirections(): wallNorm = np.array([4, 5, 6]) expected = np.array([[0.26726124, 0.53452248, 0.80178373], [0.45584231, 0.56980288, 0.68376346], [-0.40824829, 0.81649658, -0.40824829]]) - actual = cellDirections(cellUMean, wallNorm) + actual = cell_directions(cellUMean, wallNorm) assert np.all(np.isclose(actual, expected)) diff --git a/tests/meshquality/test_ntrfc_standards.py b/tests/meshquality/test_ntrfc_standards.py index 80ca694fcc28a9ecea2375179add77f46839094e..d8d4c7d2e7aa1897676ffa267bbebaf3ae1527eb 100644 --- a/tests/meshquality/test_ntrfc_standards.py +++ b/tests/meshquality/test_ntrfc_standards.py @@ -4,12 +4,24 @@ from ntrfc.meshquality.standards import classify_mesh_quality def test_classify_mesh_quality(): - # Example usage: quality_name = "MeshExpansion" - value = np.array([23, 12, 32, 12, 23]) + value = np.array([10, 15, 18, 12, 19]) quality = classify_mesh_quality(quality_name, value) - assert quality == True + assert quality is True # GOOD value = np.array([23, 12, 32, 12, 123]) quality = classify_mesh_quality(quality_name, value) - assert quality == False + assert quality is False # BAD + + value = np.array([23, 12, 32, 12, 30]) + quality = classify_mesh_quality(quality_name, value) + assert quality is True # OK + + value = np.array([23, 12, 32, 12, 50]) + quality = classify_mesh_quality(quality_name, value) + assert quality is False # BAD + + quality_name = "UndefinedQuality" + value = np.array([23, 12, 32, 12, 23]) + quality = classify_mesh_quality(quality_name, value) + assert quality == "Undefined Quality" diff --git a/tests/timeseries/test_ntrfc_stationarity.py b/tests/timeseries/test_ntrfc_stationarity.py index bc14d8d332753990dac0883eccf0f468e752f3b0..606b56cbf2ec9e7475aa030c3db4bbe28ed593be 100644 --- a/tests/timeseries/test_ntrfc_stationarity.py +++ b/tests/timeseries/test_ntrfc_stationarity.py @@ -33,7 +33,7 @@ def test_optimal_timewindow(verbose=False): # euler eul = np.e ** (-x * 60) opt_window, opt_window_size, nperiods = optimal_window_size(eul, min_interval, max_interval) - assert opt_window_size / 2== res * min_interval + assert opt_window_size / 2 == res * min_interval assert nperiods == 0 diff --git a/tests/turbo/cascadecase/domain/test_ntrfc_blade2d.py b/tests/turbo/cascadecase/domain/test_ntrfc_blade2d.py index 5454462309787a265cd2dae73db2782e38b1d77b..b1cdf1a6ea75c6c88c3f4d1a83a807b6434a9ffb 100644 --- a/tests/turbo/cascadecase/domain/test_ntrfc_blade2d.py +++ b/tests/turbo/cascadecase/domain/test_ntrfc_blade2d.py @@ -21,6 +21,7 @@ def test_symmetric_airfoil_nostagger(): assert np.abs(ite - ite_test) <= ite_tol assert np.abs(ile - ile_test) <= ile_tol + def test_symmetric_airfoil_stagger(): import pyvista as pv import numpy as np @@ -68,6 +69,7 @@ def test_airfoil_nostagger(): assert np.abs(ite - ite_test) <= ite_tol assert np.abs(ile - ile_test) <= ile_tol + def test_airfoil_stagger(): import pyvista as pv import numpy as np @@ -85,7 +87,7 @@ def test_airfoil_stagger(): ite_tol = 1 ile = blade.ile - ile_test=621 + ile_test = 621 ile_tol = 1 assert np.abs(ite - ite_test) <= ite_tol diff --git a/tests/turbo/cascadecase/solution/test_solution.py b/tests/turbo/cascadecase/solution/test_solution.py new file mode 100644 index 0000000000000000000000000000000000000000..c1e6ee1aa72acab33cd1fad5fe8f01ecbc0d7178 --- /dev/null +++ b/tests/turbo/cascadecase/solution/test_solution.py @@ -0,0 +1,20 @@ +def test_generic_cascade_case(): + from ntrfc.turbo.cascade_case.solution import GenericCascadeCase + from ntrfc.turbo.cascade_case.utils.domain_utils import Blade2D + import importlib.resources + + inlet_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/inlet.vtp" + outlet_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/outlet.vtp" + blade_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/blade_wall.vtp" + fluid_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/internal.vtu" + + case = GenericCascadeCase() + + case.read_meshes(inlet_path, "inlet") + case.read_meshes(outlet_path, "outlet") + case.read_meshes(blade_path, "blade") + case.read_meshes(fluid_path, "fluid") + + case.set_bladeslice_midz() + + assert isinstance(case.blade, Blade2D) diff --git a/tests/turbo/cascadecase/test_casemeta.py b/tests/turbo/cascadecase/test_casemeta.py new file mode 100644 index 0000000000000000000000000000000000000000..82d4e936822d66ce96ff6ec979698b9720abbe56 --- /dev/null +++ b/tests/turbo/cascadecase/test_casemeta.py @@ -0,0 +1,29 @@ +from ntrfc.turbo.cascade_case.casemeta.casemeta import CaseMeta + + +def test_casemeta(tmp_path): + case_meta = CaseMeta(tmp_path) + case_meta.velocity_name = "U" + case_meta.meanvelocity_name = "Umean" + case_meta.density_name = "rho" + case_meta.meandensity_name = "rhoMean" + case_meta.pressure_name = "p" + case_meta.meanpressure_name = "pMean" + case_meta.temperature_name = "T" + case_meta.meantemperature_name = "Tmean" + case_meta.turbulentkineticenergy_name = "k" + case_meta.meanturbulentkineticenergy_name = "kMean" + case_meta.mach_name = "Mach" + + assert case_meta.casevariables("velocity") == "U" + assert case_meta.casevariables("meanvelocity") == "Umean" + assert case_meta.casevariables("density") == "rho" + assert case_meta.casevariables("meandensity") == "rhoMean" + assert case_meta.casevariables("pressure") == "p" + assert case_meta.casevariables("meanpressure") == "pMean" + assert case_meta.casevariables("temperature") == "T" + assert case_meta.casevariables("meantemperature") == "Tmean" + assert case_meta.casevariables("turbulentkineticenergy") == "k" + assert case_meta.casevariables("meanturbulentkineticenergy") == "kMean" + assert case_meta.casevariables("mach") == "Mach" + assert case_meta.casevariables("undefined") == "Undefined variable: undefined" diff --git a/tests/turbo/cascadecase/test_post.py b/tests/turbo/cascadecase/test_post.py index fd35484206c6ef0ccb8dc2d3fac54f10d3b24a90..87d74429c960b65a7679f9df46ebb56c7bfffec8 100644 --- a/tests/turbo/cascadecase/test_post.py +++ b/tests/turbo/cascadecase/test_post.py @@ -7,6 +7,7 @@ def test_postprocessing(): from ntrfc.turbo.cascade_case.post import compute_avdr_inout_massave from ntrfc.turbo.cascade_case.post import blade_loading_mais from ntrfc.turbo.cascade_case.post import blade_loading_cp + from ntrfc.turbo.cascade_case.post import blade_loading_absolute from ntrfc.turbo.cascade_case.utils.domain_utils import Blade2D from ntrfc.turbo.airfoil_generators.naca_airfoil_creator import naca @@ -38,6 +39,9 @@ def test_postprocessing(): postprocessing.mesh_dict["outlet"] = outlet postprocessing.mesh_dict["blade"] = blade.sortedpoints_pv postprocessing.blade = blade + postprocessing.case_meta.meanvelocity_name = "UMean" + postprocessing.case_meta.meandensity_name = "rhoMean" + postprocessing.case_meta.meanpressure_name = "pMean" # Test compute_avdr method compute_avdr_inout_massave(postprocessing) @@ -49,3 +53,117 @@ def test_postprocessing(): assert len(px) == len(pc) # Test blade_loading method blade_loading_mais(postprocessing) + + sax, sac, pax, pac, _ = blade_loading_absolute(postprocessing) + assert len(sax) == len(sac) + assert len(pax) == len(pac) + + +def test_cascade_blade_deltas(): + from ntrfc.turbo.cascade_case.solution import GenericCascadeCase + from ntrfc.turbo.cascade_case.post import blade_deltas + import pyvista as pv + import importlib.resources + from PIL import Image + + def is_valid_png(file_path): + try: + with Image.open(file_path) as img: + # Check if the format is PNG + if img.format == 'PNG': + return True + else: + return False + except (IOError, OSError): + return False + + pv.set_jupyter_backend('trame') + + inlet_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/inlet.vtp" + outlet_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/outlet.vtp" + blade_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/blade_wall.vtp" + fluid_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/internal.vtu" + + case = GenericCascadeCase() + + case.read_meshes(inlet_path, "inlet") + case.read_meshes(outlet_path, "outlet") + case.read_meshes(blade_path, "blade") + case.read_meshes(fluid_path, "fluid") + + case.case_meta.meandensity_name = "rho" + case.case_meta.meanvelocity_name = "U" + case.case_meta.meanturbulentkineticenergy_name = "k" + fig = blade_deltas(case) + + assert is_valid_png(fig) + + +def test_cascade_case_tux(): + from ntrfc.turbo.cascade_case.solution import GenericCascadeCase + from ntrfc.turbo.cascade_case.post import cascade_case_tux + import pyvista as pv + import importlib.resources + from PIL import Image + + def is_valid_png(file_path): + try: + with Image.open(file_path) as img: + # Check if the format is PNG + if img.format == 'PNG': + return True + else: + return False + except (IOError, OSError): + return False + + pv.set_jupyter_backend('trame') + + inlet_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/inlet.vtp" + outlet_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/outlet.vtp" + blade_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/boundary/blade_wall.vtp" + fluid_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/internal.vtu" + + case = GenericCascadeCase() + + case.read_meshes(inlet_path, "inlet") + case.read_meshes(outlet_path, "outlet") + case.read_meshes(blade_path, "blade") + case.read_meshes(fluid_path, "fluid") + + case.case_meta.meandensity_name = "rho" + case.case_meta.meanvelocity_name = "U" + case.case_meta.meanturbulentkineticenergy_name = "k" + fig = cascade_case_tux(case, res=6) + + assert is_valid_png(fig) + + +def test_cascade_case_meshquality(): + from ntrfc.turbo.cascade_case.solution import GenericCascadeCase + from ntrfc.turbo.cascade_case.post import cascade_case_meshquality + import pyvista as pv + import importlib.resources + from PIL import Image + + def is_valid_png(file_path): + try: + with Image.open(file_path) as img: + # Check if the format is PNG + if img.format == 'PNG': + return True + else: + return False + except (IOError, OSError): + return False + + pv.set_jupyter_backend('trame') + + fluid_path = importlib.resources.files("ntrfc") / "data/openfoam_cascade_case/internal.vtu" + + case = GenericCascadeCase() + + case.read_meshes(fluid_path, "fluid") + fig = cascade_case_meshquality(case) + + assert is_valid_png(fig[0]) diff --git a/tests/turbo/cascadecase/test_solution.py b/tests/turbo/cascadecase/test_solution.py index c43625c0572ee1f70f07f8635c3b88132e741941..b6abea8cec50ec2cd769c5e1a79072915c754486 100644 --- a/tests/turbo/cascadecase/test_solution.py +++ b/tests/turbo/cascadecase/test_solution.py @@ -33,6 +33,8 @@ def test_solution(tmpdir): case = GenericCascadeCase() case.read_meshes(inletname, "inlet") case.read_meshes(outletname, "outlet") + case.case_meta.meanvelocity_name = "UMean" + case.case_meta.meandensity_name = "rhoMean" compute_avdr_inout_massave(case) assert case.avdr == 1, "should be avdr==1" diff --git a/tests/turbo/gmsh/test_meshing.py b/tests/turbo/gmsh/test_meshing.py index 20ebe33bc956d3d82baa6ad301c8a5a970b4db25..7a1e3131f2adee46bb92b3205642ed891f0fcce8 100644 --- a/tests/turbo/gmsh/test_meshing.py +++ b/tests/turbo/gmsh/test_meshing.py @@ -62,7 +62,7 @@ def test_cascade_meshing_gmshwindtunnel(tmpdir): from ntrfc.geometry.alphashape import auto_concaveHull xs, ys = naca("6510", 256) - xs_n,ys_n,_ = auto_concaveHull(xs,ys) + xs_n, ys_n, _ = auto_concaveHull(xs, ys) points = pv.PolyData(np.stack([xs_n, ys_n, np.zeros(len(xs_n))]).T * 0.06) gwkconfig = CascadeWindTunnelDomain2DParameters(gamma=6, diff --git a/tests/turbo/test_ntrfc_pointcloud_methods.py b/tests/turbo/test_ntrfc_pointcloud_methods.py index f4e5565ce3ca7ddf605cb8a3a713604bffa76cd9..c396be68495d4cb619ef595cb6bfdcf3bb5809d7 100644 --- a/tests/turbo/test_ntrfc_pointcloud_methods.py +++ b/tests/turbo/test_ntrfc_pointcloud_methods.py @@ -75,7 +75,7 @@ def test_extractSidePolys(): circlepoly = pv.PolyData(np.roll(pv.Circle(radius=1, resolution=res).points, res // 2, axis=0)) ind_1 = 0 ind_2 = circlepoly.number_of_points // 2 - side_1, side_2 = extractSidePolys(ind_1,ind_2, circlepoly) + side_1, side_2 = extractSidePolys(ind_1, ind_2, circlepoly) assert side_1.number_of_points == res // 2 + 1 assert side_2.number_of_points == res // 2 + 1