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oud bestand teruggezet
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-146
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4 files changed

+829
-146
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book/_toc.yml

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- file: calculation_examples/safety/intro_safety
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sections:
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- file: calculation_examples/safety/effect_vs_resistance
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- file: calculation_examples/safety/effect_vs_resistance_old
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- file: calculation_examples/safety/unity_check
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- file: calculation_examples/safety/CS_23_24_safety
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- file: calculation_examples/LCA/LCA

book/calculation_examples/safety/effect_vs_resistance.ipynb

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book/calculation_examples/safety/effect_vs_resistance_old.ipynb

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book/calculation_examples/safety/unity_check.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'numpy'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_8784\\1092577571.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmath\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mscipy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstats\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnorm\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mstatistics\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'numpy'"
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]
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}
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],
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"source": [
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"import numpy as np\n",
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"import math\n",
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": null,
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},
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"meanE = 70\n",
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"meanE = 50\n",
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"sdE = 23.52\n",
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"gamma_E = 1.5\n",
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"\n",
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},
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{
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"cell_type": "code",
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"outputs": [
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{
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},
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"tags": [
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"remove-cell"
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},
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"remove-input"
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],
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"metadata": {
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"kernelspec": {
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"display_name": "geospatial",
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"display_name": "Python_Older_Jupyter_Books",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.13"
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"version": "3.7.16"
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}
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},
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"nbformat": 4,

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