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MartinPdeSMartinPdeS
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‎notebook.ipynb‎

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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 1,
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"metadata": {
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"id": "MCTveXS2UE-p",
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"outputId": "e944e60e-8356-428b-e697-7da386bee904",
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"outputId": "ab810e2b-e4b5-4f9c-8f78-e8aefb8dea2a",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 427
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"height": 1000
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"outputs": [
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"text": [
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"Collecting pandas==2.3.0\n",
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" Downloading pandas-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (91 kB)\n",
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"\u001b[?25hInstalling collected packages: pandas\n",
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" Attempting uninstall: pandas\n",
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" Found existing installation: pandas 2.2.2\n",
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"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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"google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 2.3.0 which is incompatible.\u001b[0m\u001b[31m\n",
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"\u001b[0mSuccessfully installed pandas-2.3.0\n"
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"\u001b[0mSuccessfully installed pandas-2.3.0\n",
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"Collecting PyMieSim\n",
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" Downloading pymiesim-3.9.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (10 kB)\n",
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"Installing collected packages: setuptools_scm, numpy, flexparser, flexcache, pint, pint-pandas, matplotlib, vtk, TypedUnit, pyvista, MPSPlots, PyOptik, PyMieSim\n",
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"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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"google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 2.3.0 which is incompatible.\n",
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"tensorflow 2.19.0 requires numpy<2.2.0,>=1.26.0, but you have numpy 2.2.6 which is incompatible.\n",
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"\u001b[0mSuccessfully installed MPSPlots-1.8.5 PyMieSim-3.9.0 PyOptik-2.0.6 TypedUnit-0.0.8 flexcache-0.3 flexparser-0.4 matplotlib-3.10.7 numpy-2.2.6 pint-0.25.2 pint-pandas-0.7.1 pyvista-0.45.3 setuptools_scm-9.2.2 vtk-9.4.2\n"
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"text": [
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"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/2.5 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.3/2.5 MB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.5/2.5 MB\u001b[0m \u001b[31m36.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h"
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]
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}
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],
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"source": [
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"# We have to go through custom install because of Colab vs pandas version conflict\n",
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"!pip install numpy>=2.0.0\n",
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"!pip install pandas==2.3.0\n",
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"!pip install PyMieSim\n",
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"!pip install FlowCyPy==0.31.0 --no-cache-dir --quiet --no-deps"
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]
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},
@@ -75,7 +179,7 @@
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"base_uri": "https://localhost:8080/"
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},
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"id": "KpkuZKpyUIqs",
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"outputId": "c05c9b77-7bfc-4f5d-ec29-b0616f8b22c4"
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"outputId": "7386a246-23b9-4e24-e966-8ceb90e8400e"
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},
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"outputs": [
81185
{
@@ -94,7 +198,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 2,
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"metadata": {
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"id": "fFcDSRErP7sE"
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},
@@ -107,7 +211,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"metadata": {
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"id": "hsgWaTrUZNUF"
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},
@@ -136,7 +240,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"metadata": {
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"id": "lfiv_1DTUePc"
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},
@@ -193,7 +297,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"metadata": {
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"id": "f6nFY9z0a-4A"
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},
@@ -253,7 +357,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": null,
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"metadata": {
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"id": "06FIeuElbGlj"
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},
@@ -306,7 +410,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": null,
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"metadata": {
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"id": "-HzUK6XIbgf2"
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},
@@ -326,7 +430,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",

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