diff --git a/README.md b/README.md index 23fc04b..f9c890f 100644 --- a/README.md +++ b/README.md @@ -23,15 +23,19 @@ pip install laser-generic ## Running in Codespace -Check the installed version(s) of NumPy -```bash -pip list | grep numpy -``` -Note if there is a 2.x version of NumPy installed. If so, uninstall it (sub your 2.x version for `2.1.1` below). -```bash -pip uninstall numpy==2.1.1 -``` Install `laser-generic` in development mode: ```bash pip install -e . ``` + +## Notebooks + +1. [notebooks/SI_nobirths_logistic_growth.ipynb](notebooks/SI_nobirths_logistic_growth.ipynb) +2. [notebooks/SI_wbirths_logistic_growth.ipynb](notebooks/SI_wbirths_logistic_growth.ipynb) +3. [notebooks/SIS_nobirths_logistic_growth.ipynb](notebooks/SIS_nobirths_logistic_growth.ipynb) +4. [notebooks/SIR_nobirths_outbreak_size.ipynb](notebooks/SIR_nobirths_outbreak_size.ipynb) +5. [notebooks/SIR_wbirths_age_distribution.ipynb](notebooks/SIR_wbirths_age_distribution.ipynb) +6. [notebooks/SIR_wbirths_natural_periodicity.ipynb](notebooks/SIR_wbirths_natural_periodicity.ipynb) +7. [notebooks/2patch_SIR_wbirths_correlation.ipynb](notebooks/2patch_SIR_wbirths_correlation.ipynb) +8. [notebooks/SIR_CCS.ipynb](notebooks/SIR_CCS.ipynb) +9. [notebooks/SEIR_wavefrontspeed.ipynb](notebooks/SEIR_wavefrontspeed.ipynb) diff --git a/notebooks/2patch_SIR_wbirths_correlation.ipynb b/notebooks/2patch_SIR_wbirths_correlation.ipynb index 26de22d..33d5b9a 100644 --- a/notebooks/2patch_SIR_wbirths_correlation.ipynb +++ b/notebooks/2patch_SIR_wbirths_correlation.ipynb @@ -13,13 +13,6 @@ "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n" - ] - }, { "data": { "text/plain": [ @@ -55,9 +48,24 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "No matching definition for argument type(s) array(uint32, 1d, C), array(bool, 1d, C), array(uint16, 1d, C), int64", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 49\u001b[0m\n\u001b[1;32m 45\u001b[0m set_initial_susceptibility_in_patch(model, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m\u001b[38;5;241m/\u001b[39mR0\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m.02\u001b[39m\u001b[38;5;241m*\u001b[39mnp\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mnormal())\n\u001b[1;32m 46\u001b[0m seed_infections_in_patch(model, ipatch\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, ninfections\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m3\u001b[39m)\n\u001b[0;32m---> 49\u001b[0m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 50\u001b[0m outputs[i, :, :] \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mpatches\u001b[38;5;241m.\u001b[39mcases\n\u001b[1;32m 51\u001b[0m np\u001b[38;5;241m.\u001b[39msave(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00moutput_folder\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/twopatchSIRoutputs_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.npy\u001b[39m\u001b[38;5;124m\"\u001b[39m, outputs[i, :, :])\n", + "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/model.py:267\u001b[0m, in \u001b[0;36mModel.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m census \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcensuses:\n\u001b[1;32m 266\u001b[0m tstart \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[0;32m--> 267\u001b[0m \u001b[43mcensus\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcensus\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtick\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 268\u001b[0m tfinish \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[1;32m 269\u001b[0m delta \u001b[38;5;241m=\u001b[39m tfinish \u001b[38;5;241m-\u001b[39m tstart\n", + "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/infection.py:79\u001b[0m, in \u001b[0;36mInfection.census\u001b[0;34m(self, model, tick)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 78\u001b[0m nodeids \u001b[38;5;241m=\u001b[39m population\u001b[38;5;241m.\u001b[39mnodeid[\u001b[38;5;241m0\u001b[39m : population\u001b[38;5;241m.\u001b[39mcount]\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maccumulate_recovered\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrecovered_count\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrec\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnodeids\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpopulation\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcount\u001b[49m\u001b[43m)\u001b[49m \n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/numba-0.59.1-py3.12-linux-x86_64.egg/numba/core/dispatcher.py:703\u001b[0m, in \u001b[0;36m_DispatcherBase._explain_matching_error\u001b[0;34m(self, *args, **kws)\u001b[0m\n\u001b[1;32m 700\u001b[0m args \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtypeof_pyval(a) \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m args]\n\u001b[1;32m 701\u001b[0m msg \u001b[38;5;241m=\u001b[39m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo matching definition for argument type(s) \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 702\u001b[0m \u001b[38;5;241m%\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mstr\u001b[39m, args)))\n\u001b[0;32m--> 703\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n", + "\u001b[0;31mTypeError\u001b[0m: No matching definition for argument type(s) array(uint32, 1d, C), array(bool, 1d, C), array(uint16, 1d, C), int64" + ] + } + ], "source": [ "%%capture\n", "import os\n", @@ -79,6 +87,7 @@ " \"importation_period\": 180, \n", " \"importation_count\": 3, \n", " \"importation_start\": 500,\n", + " \"importation_end\": 36500\n", " })\n", "\n", "mu = ((1+parameters.cbr/1000)**(1/365)-1) \n", @@ -118,48 +127,32 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'openpyxl'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[5], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Extract outputs for patch 1 and patch 2\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mExcelWriter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2patch_SIR_wbirths_simulations.xlsx\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m writer:\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m sim \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(outputs\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]):\n\u001b[1;32m 5\u001b[0m df_sim \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(outputs[sim, :, :], columns\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPatch1\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPatch2\u001b[39m\u001b[38;5;124m'\u001b[39m])\n", - "File \u001b[0;32m~/Documents/GitHub/laser-generic/.venv/lib/python3.11/site-packages/pandas/io/excel/_openpyxl.py:57\u001b[0m, in \u001b[0;36mOpenpyxlWriter.__init__\u001b[0;34m(self, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\n\u001b[1;32m 45\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 46\u001b[0m path: FilePath \u001b[38;5;241m|\u001b[39m WriteExcelBuffer \u001b[38;5;241m|\u001b[39m ExcelWriter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 55\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 56\u001b[0m \u001b[38;5;66;03m# Use the openpyxl module as the Excel writer.\u001b[39;00m\n\u001b[0;32m---> 57\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mopenpyxl\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mworkbook\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Workbook\n\u001b[1;32m 59\u001b[0m engine_kwargs \u001b[38;5;241m=\u001b[39m combine_kwargs(engine_kwargs, kwargs)\n\u001b[1;32m 61\u001b[0m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m(\n\u001b[1;32m 62\u001b[0m path,\n\u001b[1;32m 63\u001b[0m mode\u001b[38;5;241m=\u001b[39mmode,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 66\u001b[0m engine_kwargs\u001b[38;5;241m=\u001b[39mengine_kwargs,\n\u001b[1;32m 67\u001b[0m )\n", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'openpyxl'" - ] - } - ], + "outputs": [], "source": [] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 0.44094658 0.24447214 0.02032732 -0.30724173 0.0735094 0.3508964\n", - " -0.06549149 0.11147734 0.00246283 0.25219579 -0.24714577 0.08823306\n", - " 0.18398089 -0.24002168 0.21919256 0.15961621 -0.00375986 0.0832876\n", - " -0.26609436 0.16067629 0.30372147 0.23600682 0.156628 0.2036784\n", - " 0.25260132 0.34182496 0.25914195 0.21351795 0.36730541 0.31323968\n", - " 0.34134352 0.25366452 0.30482308 0.31722081 0.33438612 0.27974796\n", - " 0.21260792 0.41038532 -0.04006728 0.22509534 0.04618833 0.12102017\n", - " 0.34179204 0.18591263 0.1748175 0.25892229 0.15084575 0.20616125\n", - " 0.19531214 0.3371837 0.0646105 0.38524797 0.27534632 0.37354017\n", - " 0.20971851 0.33799627 0.45098631 0.40544445 0.27239849 0.49067987\n", - " 0.26254371 0.4793981 0.46313531 0.46988172 0.47623691 0.46033411\n", - " 0.39466245 0.50581673 0.43902131 0.48345806 0.51619326 0.51915888\n", - " 0.61603541 0.54495446 0.5806436 0.60671775 0.54130043 0.61884162\n", - " 0.69273554 0.74709039 0.7490212 0.66960565 0.70513104 0.76176316\n", - " 0.75480995 0.79048598 0.78776848 0.80135402 0.87101819 0.84398852\n", - " 0.74666946 0.89539069 0.8499872 0.90592042 0.84753638 0.91452757\n", - " 0.91250981 0.92464058 0.92323615 0.90698625]\n" + "[nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n", + " nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n", + " nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n", + " nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n", + " nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n", + " nan nan nan nan nan nan nan nan nan nan]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/codespace/.python/current/lib/python3.12/site-packages/numpy/lib/function_base.py:2897: RuntimeWarning: invalid value encountered in divide\n", + " c /= stddev[:, None]\n" ] } ], @@ -179,48 +172,20 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 4, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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"Bad pipe message: %s [b'\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0']\n", - "Bad pipe message: %s [b'\\x06\\xc0\\x07\\xc0']\n", - "Bad pipe message: %s [b\"$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\\xc0*\\xc0+\\xc0,\\xc0-\\xc0.\\xc0/\\xc00\\xc01\\xc02\\xc0r\\xc0s\\xc0\"]\n", - "Bad pipe message: %s [b'\\t\\xc0\\n\\xc0\\x0b\\xc0\\x0c']\n", - "Bad pipe message: %s [b'u\\xc0v\\xc0w\\xc0x\\xc0y\\xc0z\\xc0{\\xc0|\\xc0}\\xc0~\\xc0\\x7f\\xc0\\x80\\xc0\\x81\\xc0\\x82\\xc0\\x83\\xc0\\x84\\xc0\\x85\\xc0\\x86\\xc0\\x87\\xc0\\x88\\xc0\\x89\\xc0\\x8a\\xc0\\x8b\\xc0\\x8c\\xc0\\x8d\\xc0\\x8e\\xc0\\x8f\\xc0\\x90\\xc0\\x91\\xc0\\x92\\xc0\\x93\\xc0\\x94\\xc0\\x95\\xc0\\x96\\xc0\\x97\\xc0\\x98\\xc0\\x99\\xc0\\x9a\\xc0\\x9b\\xcc\\xa8\\xcc\\xa9\\xcc\\xaa\\xcc\\xab\\xcc\\xac\\xcc\\xad\\xcc\\xae\\x02\\x00\\x01\\x00\\x16\\x00\\n\\x00\\n\\x00\\x08\\x00\\x17\\x00\\x19\\x00\\x18\\x00\\x16\\x00\\x0b\\x00\\x04\\x03']\n", - "Bad pipe message: %s [b\"\\xc0\\x0e\\xc0\\x0f\\xc0\\x10\\xc0\\x11\\xc0\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0#\\xc0$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\\xc0*\\xc0+\\xc0,\\xc0-\\xc0.\\xc0/\\xc00\\xc01\\xc02\\xc0r\\xc0s\\xc0t\\xc0u\\xc0v\\xc0w\\xc0x\\xc0y\\xc0z\\xc0{\\xc0|\\xc0}\\xc0~\\xc0\\x7f\\xc0\\x80\\xc0\\x81\\xc0\\x82\\xc0\\x83\\xc0\\x84\\xc0\\x85\\xc0\\x86\\xc0\\x87\\xc0\\x88\\xc0\\x89\\xc0\\x8a\\xc0\\x8b\\xc0\\x8c\\xc0\\x8d\\xc0\\x8e\\xc0\\x8f\\xc0\\x90\\xc0\\x91\\xc0\\x92\\xc0\\x93\\xc0\\x94\\xc0\\x95\\xc0\\x96\\xc0\\x97\\xc0\\x98\\xc0\\x99\\xc0\\x9a\\xc0\\x9b\\xcc\\xa8\\xcc\\xa9\\xcc\\xaa\\xcc\\xab\\xcc\\xac\\xcc\\xad\\xcc\\xae\\x02\\x00\\x01\\x00J\\x00\\n\\x00\\n\\x00\\x08\\x00\\x17\\x00\\x19\\x00\\x18\\x00\\x16\\x00\\x0b\\x00\\x04\\x03\\x00\\x01\\x02\\x00\\r\\x000\\x00.\\x04\\x03\\x05\\x03\", b'\\x08\\x07\\x08\\x08\\x08', b'\\x1b\\x08\\x1c\\x08\\t\\x08\\n\\x08\\x0b\\x08\\x04\\x08\\x05\\x08\\x06\\x04\\x01\\x05\\x01\\x06\\x01\\x03\\x03\\x03\\x01']\n", - "Bad pipe message: %s [b'\\x04\\x02']\n" + "ename": "ValueError", + "evalue": "array must not contain infs or NaNs", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[4], line 7\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m beta \u001b[38;5;241m+\u001b[39m x \u001b[38;5;241m/\u001b[39m (psi \u001b[38;5;241m+\u001b[39mx)\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m# Fit the curve\u001b[39;00m\n\u001b[0;32m----> 7\u001b[0m popt, pcov \u001b[38;5;241m=\u001b[39m \u001b[43mcurve_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcorrelations\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp0\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0.01\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbounds\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1e-6\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m0.00002\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.00002\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 8\u001b[0m psi_opt \u001b[38;5;241m=\u001b[39m popt[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 9\u001b[0m beta_opt \u001b[38;5;241m=\u001b[39m popt[\u001b[38;5;241m1\u001b[39m]\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/scipy/optimize/_minpack_py.py:932\u001b[0m, in \u001b[0;36mcurve_fit\u001b[0;34m(f, xdata, ydata, p0, sigma, absolute_sigma, check_finite, bounds, method, jac, full_output, nan_policy, **kwargs)\u001b[0m\n\u001b[1;32m 930\u001b[0m \u001b[38;5;66;03m# optimization may produce garbage for float32 inputs, cast them to float64\u001b[39;00m\n\u001b[1;32m 931\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_finite:\n\u001b[0;32m--> 932\u001b[0m ydata \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray_chkfinite\u001b[49m\u001b[43m(\u001b[49m\u001b[43mydata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mfloat\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 933\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 934\u001b[0m ydata \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masarray(ydata, \u001b[38;5;28mfloat\u001b[39m)\n", + "File \u001b[0;32m~/.python/current/lib/python3.12/site-packages/numpy/lib/function_base.py:630\u001b[0m, in \u001b[0;36masarray_chkfinite\u001b[0;34m(a, dtype, order)\u001b[0m\n\u001b[1;32m 628\u001b[0m a \u001b[38;5;241m=\u001b[39m asarray(a, dtype\u001b[38;5;241m=\u001b[39mdtype, order\u001b[38;5;241m=\u001b[39morder)\n\u001b[1;32m 629\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m a\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mchar \u001b[38;5;129;01min\u001b[39;00m typecodes[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAllFloat\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39misfinite(a)\u001b[38;5;241m.\u001b[39mall():\n\u001b[0;32m--> 630\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 631\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124marray must not contain infs or NaNs\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 632\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m a\n", + "\u001b[0;31mValueError\u001b[0m: array must not contain infs or NaNs" ] } ], @@ -245,7 +210,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -259,7 +224,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/notebooks/SEIR_wavefrontspeed.ipynb b/notebooks/SEIR_wavefrontspeed.ipynb new file mode 100644 index 0000000..7e89381 --- /dev/null +++ b/notebooks/SEIR_wavefrontspeed.ipynb @@ -0,0 +1,273 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exploring Wavefront Speed with an SEIR Rabies Model\n", + "\n", + "[A Simple Model for the Spatial Spread and Control of Rabies - Källén, Arcuri, and Murray - 1985](https://doi.org/10.1016/S0022-5193(85)80276-9)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A simple model for the spatial spread of rabies models the dynamics of teh fron of an epizootic wave.\n", + "\n", + "Populations will be **S**, susceptible, **E**, exposed/incubating, **I**, infectious/rabid, and (untracked) _R_, removed/deceased.\n", + "\n", + "$$\n", + "\\delta S / \\delta t = -KIS \\\\\n", + "\n", + "\\delta I / \\delta t = D \\delta^2 I / \\delta x^2 + KIS - \\mu I\n", + "$$ (1)\n", + "\n", + "where $K$ is the transmission coefficient and $1 / \\mu$ is the life expectancy of an infective fox.\n", + "\n", + "$$\n", + "D = kA\n", + "$$ (2)\n", + "\n", + "where $D$ is the diffusion coefficient, $k$ is the rate at which infective foxes leave their territories which have average area A. $1 / k$ is the average time until a fox leaves its territory. Foxes remain in their territory until affected by rabies which leads to random migratory behavior.\n", + "\n", + "We will assume a static population and ignore birthrate for the moment expecting that we will simulate sufficiently short time scales.\n", + "\n", + "Some non-dimensions quantities:\n", + "\n", + "$$\n", + "u = I / S_0 \\\\\n", + "\n", + "v = S / S_0 \\\\\n", + "\n", + "x^* = (K S_0 / D)^{1/2} x \\\\\n", + "\n", + "t^* = K S_0 t \\\\\n", + "\n", + "r = \\mu / K S_0\n", + "$$ (3)\n", + "\n", + "Dropping the asterisks gives the following model equations:\n", + "\n", + "$$\n", + "\\delta u / \\delta t = \\delta^2 u / \\delta x^2 + u(v - r) \\\\\n", + "\n", + "\\delta v / \\delta t = - u v\n", + "$$ (4)\n", + "\n", + "where $u \\ge 0$ and $0 \\lt v \\le 1$.\n", + "\n", + "$R = 1 / r$ is the basic reproduction rate of the disease, $R_0$\n", + "\n", + "There is a typical critical minimum susceptible density, $S_c$ below which the infection cannot persist:\n", + "\n", + "$$\n", + "S_c = \\mu / K = r S_0\n", + "$$ (5)\n", + "\n", + "The proportion, $a$ of susceptibles which remain after the infective wave has passed satisfies\n", + "\n", + "$$\n", + "0 \\lt a \\lt r \\lt 1 \\\\\n", + "\n", + "a - r {log} (a) = 1\n", + "$$ (6)\n", + "\n", + "The waveforms for the two species travel together at the same speed, $c$, which is bounded below by\n", + "\n", + "$$\n", + "c = 2 \\sqrt {1 - r}\n", + "$$ (7a)\n", + "\n", + "$$\n", + "c = 2[D(KS_0 - \\mu)]^{1/2} = 2[D\\mu(1/r-1)]^{1/2}\n", + "$$ (7b)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Estimates for the Epidemiological Parameters\n", + "\n", + "$$\n", + "r = 0.5\n", + "$$\n", + "\n", + "> An infective fox first goes through an incubation period that can vary from 12 to 110 days, and then a rabid state lasting from 3 to 10 days. A life expectancy of about 35 days gives\n", + "\n", + "$$\n", + "\\mu = 10 yr^{-1}\n", + "$$\n", + "\n", + "> If we assume an average territory to be about $5 km^2$ and that an infective fox leaves its territory about the time it becomes rabid, that is about a month, then\n", + "\n", + "$$\n", + "k \\approx 12 yr^{-1} \\\\\n", + "\n", + "D \\approx 60 km^2 yr^{-1}\n", + "$$\n", + "\n", + "Estimated wave-speed $\\approx 50 km / year$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Fox Population Density from Data\n", + "\n", + "![Figure 1](media/Spatial%20Spread%20of%20Rabies%20-%20Figure%201.png)\n", + "\n", + "Fig. 1 Fluctuations in fox population density as a function of the passage of a rabies epizootic after data from the Centre National d'Etudes sur la Rage, 1977. $S_0$ is the population density in the absence of rabies and $S_c$ the critical population density below which the infection dies out. (Redrawn from MacDonald (1980), page 19).\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Travelling Wave Shape for Simplified Model\n", + "\n", + "![Figure 2](media/Spatial%20Spread%20of%20Rabies%20-%20Figure%202.png)\n", + "\n", + "Fig. 2 The shape of the (non-dimensional) travelling wave for $r = 0.5$. Here $r = \\mu / KS_0$ where $1 / \\mu$ is the life expectancy of an infective fox, $K$ the transmission coefficient and $S_0$ the undisturbed fox density.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from matplotlib.figure import Figure\n", + "\n", + "class Incubation:\n", + " def __init__(self, model, verbose: bool = False) -> None:\n", + " return\n", + "\n", + " def census(self, model, tick) -> None:\n", + " return\n", + "\n", + " def __call__(self, model, tick) -> None:\n", + " return\n", + "\n", + " def plot(self, fig: Figure = None):\n", + " fig = plt.figure(figsize=(12, 9), dpi=128) if fig is None else fig\n", + " yield\n", + " return" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class Transmission:\n", + " def __init__(self, model, verbose: bool = False) -> None:\n", + " return\n", + "\n", + " def __call__(self, model, tick) -> None:\n", + " return\n", + "\n", + " def plot(self, fig: Figure = None):\n", + " fig = plt.figure(figsize=(12, 9), dpi=128) if fig is None else fig\n", + " yield\n", + " return" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from laser_generic import Model\n", + "from laser_generic import Susceptibility\n", + "from laser_generic import Infection\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "# Fox density from 1/km^2 to 4+/km^2 (higher in suburban and urban areas)\n", + "# Each patch will represent 5km^2\n", + "scenario = pd.DataFrame(data=np.full(201, 20, dtype=np.int32), columns=[\"population\"])\n", + "\n", + "model = Model(scenario)\n", + "model.components = [\n", + " Susceptibility,\n", + " Incubation,\n", + " Infection,\n", + " Transmission\n", + "]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Survival Fraction for Simplified Model\n", + "\n", + "![Figure 3](media/Spatial%20Spread%20of%20Rabies%20-%20Figure%203.png)\n", + "\n", + "Fig 3. The fraction $a (= S/ S_0)$ of susceptible foxes which survive an epidemic wave as a function of $r (= \\mu / K S_0)$: $a$ and $r$ are related by $a - r log(a) = 1$ where $0 \\lt a \\lt r \\lt 1$.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Considering Reproduction\n", + "\n", + "> If $S_0$ is the carrying capacity in a particular rabies-free habitat, we can add a logistic population growth term to the equation for the susceptible foxes...\n", + "\n", + "$$\n", + "\\delta S / \\delta t = -KIS + \\beta S(1 - S / S_0)\n", + "$$ (9)\n", + "\n", + "Then\n", + "\n", + "$$\n", + "\\delta u / \\delta t = \\delta^2 u / \\delta x^2 + u(v - r) \\\\\n", + "\n", + "\\delta v / \\delta t = -uv + bv(1 - v)\n", + "$$ (10)\n", + "\n", + "where $b = \\beta / KS_0 = r \\beta / \\mu$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "## Travelling Wave Shape with Births\n", + "\n", + "![Figure 6](media/Spatial%20Spread%20of%20Rabies%20-%20Figure%206.png)\n", + "\n", + "Fig 6. The shape of the travelling wave solution when the susceptible foxes have logistic population growth with a net birth rate of 0.5 per year, that is $b = 0.05$ ($b$ is the net birth rate times the life expectancy of an infective fox). Here the model parameter $r = 0.5$." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/SIR_CCS.ipynb b/notebooks/SIR_CCS.ipynb index 5387684..1da8b8c 100644 --- a/notebooks/SIR_CCS.ipynb +++ b/notebooks/SIR_CCS.ipynb @@ -11,24 +11,16 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The line_profiler extension is already loaded. To reload it, use:\n", - " %reload_ext line_profiler\n" - ] - }, { "data": { "text/plain": [ "\"np.__version__='1.26.4'\"" ] }, - "execution_count": 5, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -58,9 +50,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "No matching definition for argument type(s) array(uint32, 1d, C), array(bool, 1d, C), array(uint16, 1d, C), int64", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 46\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m j \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(npatches):\n\u001b[1;32m 44\u001b[0m set_initial_susceptibility_in_patch(model, j, \u001b[38;5;241m1\u001b[39m\u001b[38;5;241m/\u001b[39mR0\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m.1\u001b[39m\u001b[38;5;241m/\u001b[39mR0\u001b[38;5;241m*\u001b[39mnp\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mnormal())\n\u001b[0;32m---> 46\u001b[0m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 47\u001b[0m outputs[i, :, :] \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mpatches\u001b[38;5;241m.\u001b[39mcases\n\u001b[1;32m 48\u001b[0m np\u001b[38;5;241m.\u001b[39msave(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00moutput_folder\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/CCSSIRoutputs_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.npy\u001b[39m\u001b[38;5;124m\"\u001b[39m, outputs[i, :, :])\n", + "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/model.py:267\u001b[0m, in \u001b[0;36mModel.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m census \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcensuses:\n\u001b[1;32m 266\u001b[0m tstart \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[0;32m--> 267\u001b[0m \u001b[43mcensus\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcensus\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtick\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 268\u001b[0m tfinish \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[1;32m 269\u001b[0m delta \u001b[38;5;241m=\u001b[39m tfinish \u001b[38;5;241m-\u001b[39m tstart\n", + "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/infection.py:79\u001b[0m, in \u001b[0;36mInfection.census\u001b[0;34m(self, model, tick)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 78\u001b[0m nodeids \u001b[38;5;241m=\u001b[39m population\u001b[38;5;241m.\u001b[39mnodeid[\u001b[38;5;241m0\u001b[39m : population\u001b[38;5;241m.\u001b[39mcount]\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maccumulate_recovered\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrecovered_count\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrec\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnodeids\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpopulation\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcount\u001b[49m\u001b[43m)\u001b[49m \n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/numba-0.59.1-py3.12-linux-x86_64.egg/numba/core/dispatcher.py:703\u001b[0m, in \u001b[0;36m_DispatcherBase._explain_matching_error\u001b[0;34m(self, *args, **kws)\u001b[0m\n\u001b[1;32m 700\u001b[0m args \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtypeof_pyval(a) \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m args]\n\u001b[1;32m 701\u001b[0m msg \u001b[38;5;241m=\u001b[39m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo matching definition for argument type(s) \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 702\u001b[0m \u001b[38;5;241m%\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mstr\u001b[39m, args)))\n\u001b[0;32m--> 703\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n", + "\u001b[0;31mTypeError\u001b[0m: No matching definition for argument type(s) array(uint32, 1d, C), array(bool, 1d, C), array(uint16, 1d, C), int64" + ] + } + ], "source": [ "%%capture\n", "\n", @@ -118,42 +125,13 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "vscode": { "languageId": "javascript" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Bad pipe message: %s [b'\\xe9\\xbaU\\xd6\\xd6\\x00\\xc4y{\\xbc\\x06,\\x8f\\xd4']\n", - "Bad pipe message: %s 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b'\\x13\\x02\\x13\\x03\\x13\\x04\\x13\\x05\\xc0\\x01\\xc0\\x02\\xc0\\x03\\xc0\\x04\\xc0\\x05', b\"\\xc0\\x07\\xc0\\x08\\xc0\\t\\xc0\\n\\xc0\\x0b\\xc0\\x0c\\xc0\\r\\xc0\\x0e\\xc0\\x0f\\xc0\\x10\\xc0\\x11\\xc0\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0#\\xc0$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\\xc0*\\xc0+\\xc0,\\xc0-\\xc0.\\xc0/\\xc00\\xc01\\xc02\\xc0r\\xc0s\\xc0t\\xc0u\\xc0v\\xc0w\\xc0x\\xc0y\\xc0z\\xc0{\\xc0|\\xc0}\\xc0~\\xc0\\x7f\\xc0\\x80\\xc0\\x81\\xc0\\x82\\xc0\\x83\\xc0\\x84\\xc0\\x85\\xc0\\x86\\xc0\\x87\\xc0\\x88\\xc0\\x89\\xc0\\x8a\\xc0\\x8b\\xc0\\x8c\\xc0\\x8d\\xc0\\x8e\\xc0\\x8f\\xc0\\x90\\xc0\\x91\\xc0\\x92\\xc0\\x93\\xc0\\x94\\xc0\\x95\\xc0\\x96\\xc0\\x97\\xc0\\x98\\xc0\\x99\\xc0\\x9a\\xc0\\x9b\\xcc\\xa8\\xcc\\xa9\\xcc\\xaa\\xcc\\xab\\xcc\\xac\\xcc\\xad\\xcc\\xae\\x02\\x00\\x01\\x00J\\x00\\n\\x00\\n\\x00\\x08\\x00\\x17\\x00\\x19\\x00\\x18\\x00\\x16\\x00\\x0b\\x00\\x04\"]\n", - "Bad pipe message: %s [b'\\x01\\x02']\n", - "Bad pipe message: %s [b'\\x92o}\\xd4%\\xc6k\\x95Av\\xc9wo&4X\\x04\\xc0\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00', b'\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15']\n", - "Bad pipe message: %s [b'\\xe1\\x19\\x7f\\xdf\\xf4JG`\\xe4Jd\\x10**}_V\\x84\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00', b\"\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b\\x00\\x9c\\x00\\x9d\\x00\\x9e\\x00\\x9f\\x00\\xa0\\x00\\xa1\\x00\\xa2\\x00\\xa3\\x00\\xa4\\x00\\xa5\\x00\\xa6\\x00\\xa7\\x00\\xba\\x00\\xbb\\x00\\xbc\\x00\\xbd\\x00\\xbe\\x00\\xbf\\x00\\xc0\\x00\\xc1\\x00\\xc2\\x00\\xc3\\x00\\xc4\\x00\\xc5\\x13\\x01\\x13\\x02\\x13\\x03\\x13\\x04\\x13\\x05\\xc0\\x01\\xc0\\x02\\xc0\\x03\\xc0\\x04\\xc0\\x05\\xc0\\x06\\xc0\\x07\\xc0\\x08\\xc0\\t\\xc0\\n\\xc0\\x0b\\xc0\\x0c\\xc0\\r\\xc0\\x0e\\xc0\\x0f\\xc0\\x10\\xc0\\x11\\xc0\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0#\\xc0$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\"]\n", - "Bad pipe message: %s [b'//\\x8c\\xa4\\x8aN=-3J=48\\xdd\\xa5u\\xa5\\xee\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00']\n", - "Bad pipe message: %s [b';\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99']\n", - "Bad pipe message: %s [b'\\xfenG%V\\x05ov\\xa7\\xbb\\x94K\\xa1#z\\xda57\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b\\x00\\x9c\\x00\\x9d\\x00\\x9e\\x00\\x9f\\x00\\xa0\\x00\\xa1\\x00\\xa2\\x00\\xa3\\x00\\xa4\\x00\\xa5\\x00\\xa6\\x00\\xa7\\x00\\xba\\x00\\xbb\\x00\\xbc\\x00\\xbd\\x00\\xbe\\x00\\xbf\\x00\\xc0']\n", - "Bad pipe message: %s [b'?\"a\\xfe\\tPM\\xae\\xd9\\xc7g\\xed\\xb7\\x08\\x05?\\x1a\\xcf\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b\\x00\\x9c\\x00\\x9d\\x00\\x9e\\x00\\x9f\\x00\\xa0\\x00\\xa1\\x00\\xa2\\x00\\xa3\\x00\\xa4\\x00\\xa5\\x00\\xa6\\x00\\xa7\\x00\\xba\\x00\\xbb\\x00\\xbc\\x00\\xbd\\x00\\xbe\\x00\\xbf\\x00\\xc0\\x00\\xc1\\x00\\xc2\\x00']\n", - "Bad pipe message: %s [b'\\xaa\\\\\\x90\\xfc\\xebp\\x91@[\\x8e\\x9e\\xc5\\xbf\\xa6\\x8f\\xf93\\xb3\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b']\n", - "Bad pipe message: %s [b\"\\xc4\\x00\\xc5\\x13\\x01\\x13\\x02\\x13\\x03\\x13\\x04\\x13\\x05\\xc0\\x01\\xc0\\x02\\xc0\\x03\\xc0\\x04\\xc0\\x05\\xc0\\x06\\xc0\\x07\\xc0\\x08\\xc0\\t\\xc0\\n\\xc0\\x0b\\xc0\\x0c\\xc0\\r\\xc0\\x0e\\xc0\\x0f\\xc0\\x10\\xc0\\x11\\xc0\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0#\\xc0$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\\xc0*\\xc0+\\xc0,\\xc0-\\xc0.\\xc0/\\xc00\\xc01\\xc02\\xc0r\\xc0s\\xc0t\\xc0u\\xc0v\\xc0w\\xc0x\\xc0y\\xc0z\\xc0{\\xc0|\\xc0}\\xc0~\\xc0\\x7f\\xc0\\x80\\xc0\\x81\\xc0\\x82\\xc0\\x83\\xc0\\x84\\xc0\\x85\\xc0\\x86\\xc0\\x87\\xc0\\x88\\xc0\\x89\\xc0\\x8a\\xc0\\x8b\\xc0\\x8c\\xc0\\x8d\\xc0\\x8e\\xc0\\x8f\\xc0\\x90\\xc0\\x91\\xc0\\x92\\xc0\\x93\\xc0\\x94\\xc0\\x95\\xc0\\x96\\xc0\\x97\\xc0\\x98\\xc0\\x99\\xc0\\x9a\\xc0\\x9b\\xcc\\xa8\\xcc\\xa9\\xcc\\xaa\\xcc\\xab\\xcc\\xac\\xcc\\xad\\xcc\\xae\\x02\"]\n", - "Bad pipe message: %s [b'(\\rE\\xb9\\xd7\\xb3j\\xc7\\x86\\x8a\\x16\\xef;\\xb2\\xd5A\\x88\\xb3\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b\\x00\\x9c\\x00\\x9d\\x00\\x9e\\x00\\x9f\\x00\\xa0\\x00\\xa1\\x00']\n", - "Bad pipe message: %s [b\"\\xa3\\x00\\xa4\\x00\\xa5\\x00\\xa6\\x00\\xa7\\x00\\xba\\x00\\xbb\\x00\\xbc\\x00\\xbd\\x00\\xbe\\x00\\xbf\\x00\\xc0\\x00\\xc1\\x00\\xc2\\x00\\xc3\\x00\\xc4\\x00\\xc5\\x13\\x01\\x13\\x02\\x13\\x03\\x13\\x04\\x13\\x05\\xc0\\x01\\xc0\\x02\\xc0\\x03\\xc0\\x04\\xc0\\x05\\xc0\\x06\\xc0\\x07\\xc0\\x08\\xc0\\t\\xc0\\n\\xc0\\x0b\\xc0\\x0c\\xc0\\r\\xc0\\x0e\\xc0\\x0f\\xc0\\x10\\xc0\\x11\\xc0\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0#\\xc0$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\\xc0*\\xc0+\\xc0,\\xc0-\\xc0.\\xc0/\\xc00\\xc01\\xc02\\xc0r\\xc0s\\xc0t\\xc0u\\xc0v\\xc0w\\xc0x\\xc0y\\xc0z\\xc0{\\xc0|\\xc0}\\xc0~\\xc0\\x7f\\xc0\\x80\\xc0\\x81\\xc0\\x82\\xc0\\x83\"]\n", - "Bad pipe message: %s [b'X\\x1a\\xd0\\x8cu\\xb1\\xcbJ\\xbf\\xb6`\\xc3\\xfcN\\xa2\\xde\\x8a\\x8a\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96']\n", - "Bad pipe message: %s [b'\\x85\\x91TU\\xa5\\x8f\\xb5\\xb0\\x96\\xc8\\xe6\\x0e\\x94I.P\\x95\\x88\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b\\x00\\x9c\\x00\\x9d\\x00\\x9e\\x00\\x9f\\x00\\xa0\\x00\\xa1\\x00\\xa2\\x00\\xa3\\x00\\xa4\\x00\\xa5\\x00\\xa6\\x00\\xa7\\x00\\xba\\x00\\xbb\\x00\\xbc\\x00\\xbd\\x00\\xbe\\x00\\xbf\\x00\\xc0\\x00\\xc1\\x00\\xc2\\x00\\xc3\\x00\\xc4\\x00\\xc5\\x13\\x01\\x13\\x02', b'\\x13\\x04\\x13\\x05\\xc0\\x01\\xc0\\x02\\xc0\\x03\\xc0\\x04\\xc0\\x05\\xc0\\x06\\xc0\\x07', b\"\\xc0\\t\\xc0\\n\\xc0\\x0b\\xc0\\x0c\\xc0\\r\\xc0\\x0e\\xc0\\x0f\\xc0\\x10\\xc0\\x11\\xc0\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0#\\xc0$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\\xc0*\\xc0+\\xc0,\\xc0-\\xc0.\\xc0/\\xc00\\xc01\\xc02\\xc0r\\xc0s\\xc0t\\xc0u\\xc0v\\xc0w\\xc0x\\xc0y\\xc0z\\xc0{\\xc0|\\xc0}\\xc0~\\xc0\\x7f\\xc0\\x80\\xc0\\x81\\xc0\\x82\\xc0\\x83\\xc0\\x84\\xc0\\x85\\xc0\\x86\\xc0\\x87\\xc0\\x88\\xc0\\x89\\xc0\\x8a\\xc0\\x8b\\xc0\\x8c\\xc0\\x8d\\xc0\\x8e\\xc0\\x8f\\xc0\\x90\\xc0\\x91\\xc0\\x92\\xc0\\x93\\xc0\\x94\\xc0\\x95\\xc0\\x96\\xc0\\x97\\xc0\\x98\\xc0\\x99\\xc0\\x9a\\xc0\\x9b\\xcc\\xa8\\xcc\\xa9\\xcc\\xaa\\xcc\\xab\\xcc\\xac\\xcc\\xad\\xcc\\xae\\x02\\x00\\x01\\x00\\x16\\x00\\n\\x00\\n\\x00\\x08\\x00\\x17\\x00\\x19\\x00\\x18\\x00\\x16\\x00\\x0b\\x00\\x04\\x03\\x00\\x01\\x02\"]\n", - "Bad pipe message: %s [b'\\xd1\\xad|\\x8f$\\xa8-\\xb0s\\x9be\\xa8*^\\x98\\xa5\\xc9x\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84']\n" - ] - } - ], + "outputs": [], "source": [ "params_df = pd.DataFrame({\n", " 'R0': R0_samples,\n", @@ -166,12 +144,12 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -192,35 +170,65 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([38.45967534, 24.19479029, 88.69766788, 47.13799266, 51.45973827,\n", - " 41.62923858, 29.8582311 , 56.55513934, 38.77736425, 65.05225879,\n", - " 36.22120382, 60.91098257, 95.86607072, 49.74669651, 96.33752715,\n", - " 24.5764733 , 63.90440946, 67.9837993 , 96.94026542, 94.0148105 ,\n", - " 60.87249036, 80.75889121, 98.07242253, 78.92002112, 96.31647792,\n", - " 95.11151835, 58.54137291, 72.79153847, 34.38797063, 54.96187779,\n", - " 89.28993511, 66.17856562, 42.35628834, 29.82314022, 38.54841615,\n", - " 29.99940518, 38.70243442, 50.6864008 , 23.43188247, 87.09685575,\n", - " 52.30482094, 65.38951716, 70.89072118, 30.62736052, 26.61660895,\n", - " 32.52257702, 98.89797787, 28.36121936, 53.81247372, 90.00498777,\n", - " 66.74205222, 21.40269371, 91.09620648, 50.73181306, 33.41841662,\n", - " 46.97438645, 67.53185055, 23.0196144 , 71.46468171, 68.80851203,\n", - " 38.30351377, 54.08142082, 35.48119708, 21.70638716, 66.71358992,\n", - " 55.62856356, 87.36453184, 35.92445232, 55.24792377, 73.3963626 ,\n", - " 25.4667704 , 48.42693031, 74.88290425, 39.60575176, 49.1181858 ,\n", - " 66.1890959 , 52.75484738, 90.14252021, 88.79050224, 86.71815141,\n", - " 54.10169334, 35.21039965, 71.10904825, 54.25239852, 60.46456566,\n", - " 72.08412467, 95.19532276, 84.65997813, 29.85733066, 92.59697672,\n", - " 74.16538662, 45.55401561, 78.39943908, 57.99711353, 64.88260511,\n", - " 65.74597549, 32.11913994, 48.95856946, 54.8587793 , 24.61800793])" + "array([ 66.84342436, 25.57547815, 19.93230638, 29.98598747,\n", + " 58.05307402, 56.61071667, 12.29577726, 24.00891728,\n", + " 57.31434094, 28.76601936, 44.823773 , 39.40895102,\n", + " 24.93216369, 44.9215724 , 34.89738515, 37.27236875,\n", + " 20.24499225, 22.8706354 , 72.37150222, 47.980587 ,\n", + " 51.43705276, 13.62161953, 26.44830669, 29.50335823,\n", + " 34.26560023, 37.3138923 , 38.07780496, 59.12440665,\n", + " 25.40625274, 32.20215825, 113.54309618, 23.06849887,\n", + " 65.25565271, 41.20919046, 20.24283753, 72.02478415,\n", + " 39.62312779, 63.09438417, 37.27315238, 35.43176365,\n", + " 84.74499484, 52.53978887, 119.58459079, 53.86153801,\n", + " 40.94243569, 50.12170289, 36.85349748, 31.44224517,\n", + " 27.24090254, 67.8800248 , 30.2128109 , 22.20272225,\n", + " 52.31267147, 28.04770463, 82.71308747, 75.79460933,\n", + " 36.20193508, 37.34890204, 27.33375493, 70.35405385,\n", + " 26.10798279, 56.8329664 , 33.13517011, 144.88335733,\n", + " 85.39514581, 63.75666255, 21.24889025, 20.87833589,\n", + " 76.21280681, 41.68643083, 16.67538188, 18.01614086,\n", + " 69.74030851, 53.86896927, 57.62296684, 44.02141306,\n", + " 61.15619054, 79.75013417, 52.77936994, 30.93543674,\n", + " 13.98145327, 26.32214966, 72.52840256, 52.06872532,\n", + " 30.21752237, 82.16106966, 30.2509973 , 31.25388894,\n", + " 16.77223818, 30.96353418, 66.75922279, 99.87196591,\n", + " 19.67080805, 53.39362555, 37.79572154, 69.96527819,\n", + " 87.9245563 , 33.10290144, 36.56602739, 26.63741553,\n", + " 17.1361002 , 43.87645691, 110.9082672 , 52.24277494,\n", + " 20.88738018, 47.4926692 , 47.50986422, 61.00374719,\n", + " 108.19175443, 97.00602229, 44.01933521, 51.14567991,\n", + " 12.89810207, 59.86157146, 30.55699114, 34.49211784,\n", + " 55.57497199, 41.98169641, 73.00678184, 25.45289034,\n", + " 41.86285474, 55.62528579, 37.48668392, 65.72973406,\n", + " 77.57377057, 38.8950001 , 48.46317689, 24.76795511,\n", + " 29.46076458, 23.94877551, 32.25038084, 31.35639008,\n", + " 64.52290381, 43.21930193, 51.87264622, 20.01175778,\n", + " 55.34476763, 31.62023592, 20.80901846, 33.64613073,\n", + " 81.40679977, 26.13182794, 18.89756648, 20.26683589,\n", + " 58.20028799, 31.91414309, 55.31233758, 60.74963342,\n", + " 55.77612187, 37.88835413, 100.84092565, 49.17460313,\n", + " 40.31230512, 55.36330489, 67.82438742, 20.4832981 ,\n", + " 45.04395047, 26.05556077, 19.96651436, 49.34433017,\n", + " 27.6086711 , 44.29571938, 68.58241988, 88.8679184 ,\n", + " 106.63163049, 143.54341747, 39.82198156, 56.28823898,\n", + " 19.87941012, 81.45107576, 36.19738637, 25.83282696,\n", + " 17.65986003, 17.24698947, 78.44589681, 72.89097436,\n", + " 62.87117599, 52.67297697, 52.2927916 , 68.41189459,\n", + " 26.11357724, 58.85030384, 84.26721656, 27.03628271,\n", + " 23.98304901, 22.42730339, 57.69337168, 55.28326232,\n", + " 19.02583298, 50.13415524, 70.53767509, 67.00170215,\n", + " 34.61408668, 64.80050204, 21.60350269, 60.510375 ,\n", + " 56.85977348, 38.74884466, 45.86557665, 22.36987978])" ] }, - "execution_count": 44, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -231,9 +239,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "OSError", + "evalue": "Cannot save file into a non-existent directory: 'CCSSIRoutputs'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 7\u001b[0m\n\u001b[1;32m 1\u001b[0m params_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame({\n\u001b[1;32m 2\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mR0\u001b[39m\u001b[38;5;124m'\u001b[39m: R0_samples,\n\u001b[1;32m 3\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124minfmean\u001b[39m\u001b[38;5;124m'\u001b[39m: infmean_samples,\n\u001b[1;32m 4\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcbr\u001b[39m\u001b[38;5;124m'\u001b[39m: cbr_samples\n\u001b[1;32m 5\u001b[0m })\n\u001b[0;32m----> 7\u001b[0m \u001b[43mparams_df\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mCCSSIRoutputs/params.csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/pandas/util/_decorators.py:333\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 327\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[1;32m 328\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m 329\u001b[0m msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39m_format_argument_list(allow_args)),\n\u001b[1;32m 330\u001b[0m \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[1;32m 331\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mfind_stack_level(),\n\u001b[1;32m 332\u001b[0m )\n\u001b[0;32m--> 333\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/pandas/core/generic.py:3967\u001b[0m, in \u001b[0;36mNDFrame.to_csv\u001b[0;34m(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, lineterminator, chunksize, date_format, doublequote, escapechar, decimal, errors, storage_options)\u001b[0m\n\u001b[1;32m 3956\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m, ABCDataFrame) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mto_frame()\n\u001b[1;32m 3958\u001b[0m formatter \u001b[38;5;241m=\u001b[39m DataFrameFormatter(\n\u001b[1;32m 3959\u001b[0m frame\u001b[38;5;241m=\u001b[39mdf,\n\u001b[1;32m 3960\u001b[0m header\u001b[38;5;241m=\u001b[39mheader,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 3964\u001b[0m decimal\u001b[38;5;241m=\u001b[39mdecimal,\n\u001b[1;32m 3965\u001b[0m )\n\u001b[0;32m-> 3967\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mDataFrameRenderer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mformatter\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_csv\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3968\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath_or_buf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3969\u001b[0m \u001b[43m \u001b[49m\u001b[43mlineterminator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlineterminator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3970\u001b[0m \u001b[43m \u001b[49m\u001b[43msep\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msep\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3971\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3972\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3973\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompression\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3974\u001b[0m \u001b[43m \u001b[49m\u001b[43mquoting\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquoting\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3975\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3976\u001b[0m \u001b[43m \u001b[49m\u001b[43mindex_label\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindex_label\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3977\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3978\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunksize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunksize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3979\u001b[0m \u001b[43m \u001b[49m\u001b[43mquotechar\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquotechar\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3980\u001b[0m \u001b[43m \u001b[49m\u001b[43mdate_format\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdate_format\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3981\u001b[0m \u001b[43m \u001b[49m\u001b[43mdoublequote\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdoublequote\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3982\u001b[0m \u001b[43m \u001b[49m\u001b[43mescapechar\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mescapechar\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3983\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3984\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/pandas/io/formats/format.py:1014\u001b[0m, in \u001b[0;36mDataFrameRenderer.to_csv\u001b[0;34m(self, path_or_buf, encoding, sep, columns, index_label, mode, compression, quoting, quotechar, lineterminator, chunksize, date_format, doublequote, escapechar, errors, storage_options)\u001b[0m\n\u001b[1;32m 993\u001b[0m created_buffer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 995\u001b[0m csv_formatter \u001b[38;5;241m=\u001b[39m CSVFormatter(\n\u001b[1;32m 996\u001b[0m path_or_buf\u001b[38;5;241m=\u001b[39mpath_or_buf,\n\u001b[1;32m 997\u001b[0m lineterminator\u001b[38;5;241m=\u001b[39mlineterminator,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1012\u001b[0m formatter\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfmt,\n\u001b[1;32m 1013\u001b[0m )\n\u001b[0;32m-> 1014\u001b[0m \u001b[43mcsv_formatter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1016\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m created_buffer:\n\u001b[1;32m 1017\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(path_or_buf, StringIO)\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/pandas/io/formats/csvs.py:251\u001b[0m, in \u001b[0;36mCSVFormatter.save\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 248\u001b[0m \u001b[38;5;124;03mCreate the writer & save.\u001b[39;00m\n\u001b[1;32m 249\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 250\u001b[0m \u001b[38;5;66;03m# apply compression and byte/text conversion\u001b[39;00m\n\u001b[0;32m--> 251\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 252\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 253\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 254\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 255\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 256\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompression\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 257\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstorage_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 258\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m handles:\n\u001b[1;32m 259\u001b[0m \u001b[38;5;66;03m# Note: self.encoding is irrelevant here\u001b[39;00m\n\u001b[1;32m 260\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwriter \u001b[38;5;241m=\u001b[39m csvlib\u001b[38;5;241m.\u001b[39mwriter(\n\u001b[1;32m 261\u001b[0m handles\u001b[38;5;241m.\u001b[39mhandle,\n\u001b[1;32m 262\u001b[0m lineterminator\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlineterminator,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 267\u001b[0m quotechar\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mquotechar,\n\u001b[1;32m 268\u001b[0m )\n\u001b[1;32m 270\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_save()\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/pandas/io/common.py:749\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 747\u001b[0m \u001b[38;5;66;03m# Only for write methods\u001b[39;00m\n\u001b[1;32m 748\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode \u001b[38;5;129;01mand\u001b[39;00m is_path:\n\u001b[0;32m--> 749\u001b[0m \u001b[43mcheck_parent_directory\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 751\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m compression:\n\u001b[1;32m 752\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m compression \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mzstd\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 753\u001b[0m \u001b[38;5;66;03m# compression libraries do not like an explicit text-mode\u001b[39;00m\n", + "File \u001b[0;32m~/.local/lib/python3.12/site-packages/pandas/io/common.py:616\u001b[0m, in \u001b[0;36mcheck_parent_directory\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m 614\u001b[0m parent \u001b[38;5;241m=\u001b[39m Path(path)\u001b[38;5;241m.\u001b[39mparent\n\u001b[1;32m 615\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parent\u001b[38;5;241m.\u001b[39mis_dir():\n\u001b[0;32m--> 616\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m(\u001b[38;5;124mrf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot save file into a non-existent directory: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mparent\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Cannot save file into a non-existent directory: 'CCSSIRoutputs'" + ] + } + ], "source": [ "params_df = pd.DataFrame({\n", " 'R0': R0_samples,\n", @@ -575,7 +601,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -589,7 +615,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/notebooks/SIR_nobirths_outbreak_size.ipynb b/notebooks/SIR_nobirths_outbreak_size.ipynb index 7c3c8a9..231cdf8 100644 --- a/notebooks/SIR_nobirths_outbreak_size.ipynb +++ b/notebooks/SIR_nobirths_outbreak_size.ipynb @@ -54,13 +54,6 @@ "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n" - ] - }, { "data": { "text/plain": [ @@ -80,6 +73,7 @@ "import pandas as pd\n", "from laser_core.propertyset import PropertySet\n", "from scipy.optimize import fsolve\n", + "from tqdm.notebook import tqdm #, trange\n", "\n", "from laser_generic import Model\n", "from laser_generic.infection import Infection\n", @@ -93,61 +87,51 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "2025-01-10 23:06:07.177330: Creating the generic model…\n", + "2025-02-03 19:16:18.546361: Creating the generic model…\n", "Initializing the generic model with 1 patches…\n", - "2025-01-10 23:06:07.181830: Running the generic model for 730 ticks…\n" + "2025-02-03 19:16:18.555068: Running the generic model for 730 ticks…\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 730/730 [00:01<00:00, 700.69it/s]" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "55230fc06651438aa5647a093f173021", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/730 [00:00]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -171,7 +155,8 @@ "set_initial_susceptibility_randomly(model, 1.0)\n", "seed_infections_randomly(model, ninfections=1)\n", "model.run()\n", - "plt.plot(model.patches.cases)" + "plt.plot(model.patches.cases)\n", + "plt.show()" ] }, { @@ -251,7 +236,7 @@ "output[\"S_inf_obs\"] = np.nan\n", "\n", "\n", - "for index, row in output.iterrows():\n", + "for index, row in tqdm(output.iterrows()):\n", " scenario = pd.DataFrame(data=[[\"homenode\", population]], columns=[\"name\", \"population\"])\n", " parameters = PropertySet({\"seed\": 2, \"nticks\": 1460, \"verbose\": True, \"inf_mean\": inf_mean, \"beta\": row[\"R0\"] / inf_mean})\n", "\n", @@ -277,7 +262,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -286,7 +271,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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", + "image/png": 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", "text/plain": [ "
" ] @@ -334,7 +319,7 @@ " plt.plot(output[condition][\"R0\"], output[condition][\"I_inf_exp\"], color=color)\n", " plt.plot(output[condition][\"R0\"], output[condition][\"I_inf_obs\"], \".\", label='_nolegend_', color=color)\n", "plt.xlabel(\"$R_{0}$\") \n", - "plt.ylabel(\"$I(t \\\\rightarrow {\\infty})$\")\n", + "plt.ylabel(r\"$I(t \\rightarrow {\\infty})$\")\n", "plt.legend([\"$S(0) = 1.0$\", \"$S(0)= 0.8$\", \"$S(0) = 0.6$\", \"$S(0) = 0.4$\", \"$S(0) = 0.2$\"])\n", "plt.figure()\n", "\n", @@ -346,7 +331,7 @@ " plt.plot(output[condition][\"R0\"], output[condition][\"S_inf_exp\"], color=color)\n", " plt.plot(output[condition][\"R0\"], output[condition][\"S_inf_obs\"], \".\", label=\"_nolegend_\", color=color)\n", "plt.xlabel(\"$R_{0}$\") \n", - "plt.ylabel(\"$S(t \\\\rightarrow {\\infty})$\")\n", + "plt.ylabel(r\"$S(t \\rightarrow {\\infty})$\")\n", "plt.legend([\"$S(0) = 1.0$\", \"$S(0)= 0.8$\", \"$S(0) = 0.6$\", \"$S(0) = 0.4$\", \"$S(0) = 0.2$\"])\n", "\n", "plt.figure()\n", @@ -357,7 +342,7 @@ "\n", " plt.plot(output[condition][\"R0\"]*S0, (output[condition][\"I_inf_exp\"] - output[condition][\"I_inf_obs\"]), \".\", label=f\"Observed S0={S0}\", color=color)\n", "plt.xlabel(\"$R_{eff}(t=0)$\") \n", - "plt.ylabel(\"$I_{exp}(t \\\\rightarrow {\\infty}) - I_{obs}(t \\\\rightarrow {\\infty})$\")\n", + "plt.ylabel(r\"$I_{exp}(t \\rightarrow {\\infty}) - I_{obs}(t \\rightarrow {\\infty})$\")\n", "plt.legend([\"$S(0) = 1.0$\", \"$S(0)= 0.8$\", \"$S(0) = 0.6$\", \"$S(0) = 0.4$\", \"$S(0) = 0.2$\"])\n", "\n", "plt.figure()\n", @@ -369,7 +354,7 @@ "\n", " plt.plot(output[condition][\"R0\"]*S0, (output[condition][\"S_inf_exp\"] - output[condition][\"S_inf_obs\"]), \".\", label=f\"Observed S0={S0}\", color=color)\n", "plt.xlabel(\"$R_{eff}(t=0)$\") \n", - "plt.ylabel(\"$S_{exp}(t \\\\rightarrow {\\infty}) - S_{obs}(t \\\\rightarrow {\\infty})$\")\n", + "plt.ylabel(r\"$S_{exp}(t \\rightarrow {\\infty}) - S_{obs}(t \\rightarrow {\\infty})$\")\n", "plt.legend([\"$S(0) = 1.0$\", \"$S(0)= 0.8$\", \"$S(0) = 0.6$\", \"$S(0) = 0.4$\", \"$S(0) = 0.2$\"])\n" ] }, @@ -382,8 +367,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "S expected - S observed < 0.05: True\n", - "I expected - I observed < 0.05: True\n" + "S expected - S observed < 0.05: False\n", + "I expected - I observed < 0.05: False\n" ] } ], @@ -391,18 +376,11 @@ "print('S expected - S observed < 0.05: '+str( (np.isclose(output[\"S_inf_exp\"], output[\"S_inf_obs\"], atol=0.05)).all())) #Account for 1 timestep offset here\n", "print('I expected - I observed < 0.05: '+str( (np.isclose(output[\"I_inf_exp\"], output[\"I_inf_obs\"], atol=0.05)).all())) #Account for 1 timestep offset here\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -416,7 +394,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/notebooks/SIR_wbirths_age_distribution.ipynb b/notebooks/SIR_wbirths_age_distribution.ipynb index c3fa40c..ce0d296 100644 --- a/notebooks/SIR_wbirths_age_distribution.ipynb +++ b/notebooks/SIR_wbirths_age_distribution.ipynb @@ -50,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -59,7 +59,7 @@ "\"np.__version__='1.26.4'\"" ] }, - "execution_count": 16, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -73,6 +73,8 @@ "\n", "from scipy.optimize import fsolve\n", "import scipy.fftpack as fftpack\n", + "from tqdm.notebook import tqdm #, trange\n", + "\n", "\n", "from laser_generic import Model\n", "from laser_generic import Infection\n", @@ -90,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -107,56 +109,63 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "2025-01-10 23:41:27.970681: Creating the generic model…\n", + "2025-02-03 19:16:48.772280: Creating the generic model…\n", "Initializing the generic model with 1 patches…\n", - "2025-01-10 23:41:27.974788: Running the generic model for 18250 ticks…\n" + "2025-02-03 19:16:48.787813: Running the generic model for 18250 ticks…\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 18250/18250 [00:07<00:00, 2501.85it/s]\n" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "60e9532d94bf4e9986acfa6e48372e30", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/18250 [00:00]" + "[]" ] }, - "execution_count": 18, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -192,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -216,22 +225,22 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 26, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Ms2bN0sqVK9XR0aHq6mpJ0rx58zRx4kTV1tZKCvR/lJWVacqUKers7NTTTz+thx9+WPfff390f5NYyiaMAAAQKxGHkaqqKh04cEBLliyRx+NRSUmJNm7cGGpqbWpqkst1csClo6NDt912m95//30NGzZM06dP1yOPPKKqqqro/RaxRhgBACBmHGOMsV3E2fh8PuXk5Mjr9So7Ozuqn1206KmznrPnxg+kZ/5FuuhLUlXirB4LAIBN4f795rtpwsHICAAAMUMYCQdhBACAmCGMhCN7YuDxY4/UfdxuLQAAJBnCSDhGjJVc6ZLx8+29AABEGWEkHC4Xa40AABAjhJFwZY8PPPLtvQAARBVhJFw0sQIAEBOEkXAFm1jbCSMAAEQTYSRcjIwAABAThJFwEUYAAIgJwki4gtM0NLACABBVhJFwhUZGmiW/324tAAAkEcJIuEbmS45L8h+TDrfZrgYAgKRBGAlXWkYgkEhM1QAAEEWEkUiMCi58RhMrAADRQhiJBHfUAAAQdYSRSITuqCGMAAAQLYSRSDAyAgBA1BFGIsFaIwAARB1hJBKMjAAAEHWEkUj0DCPG2K0FAIAkQRiJRPDW3uNHpCMf2a0FAIAkQRiJREaWNDwvsM9UDQAAUUEYiRR9IwAARBVhJFKhMMIdNQAARANhJFKMjAAAEFWEkUgFw0g7YQQAgGggjESKJeEBAIgqwkikmKYBACCqCCORYmQEAICoIoxEKrjwWadPOuqzWwsAAEmAMBIp90gpKyew395stxYAAJJAuu0CEkHRoqd6Pd+Yma3pLq/+7v9t0Iv+T4aO71k2N96lAQCQ8BgZGYAWM1qSNN750HIlAAAkPsLIADSbMZKkAh20XAkAAImPMDIAHgXCyHiHMAIAwGARRgag2ZwjScp3PrJcCQAAiY8wMgAew8gIAADRQhgZgFDPCA2sAAAMGmFkAIIjI2Ocj+VWl+VqAABIbISRAfBpuDqMW5JUwFQNAACDQhgZEIe+EQAAooQwMkCsNQIAQHQQRgaohbVGAACICsLIAHFHDQAA0UEYGSBPKIyw8BkAAINBGBmgkyMjTNMAADAYhJEB8pxYEp6eEQAABocwMkDBkZE8eZWh45arAQAgcRFGBuigRqnTpMvlGI0TfSMAAAwUYWTAnB5NrEzVAAAwUISRQfCw1ggAAINGGBkERkYAABg8wsggNPP9NAAADBphZBA8rMIKAMCgEUYGoZlVWAEAGDTCyCDQMwIAwOARRgah+cQqrPn6SC75LVcDAEBiGlAYWbVqlYqKipSVlaXy8nJt2bKl33PXrFmjq666SqNHj9bo0aNVWVl5xvMTSZtydNy4lO74lSev7XIAAEhIEYeR9evXq6amRkuXLtXWrVtVXFysOXPmqLW1tc/zN23apJtvvlnPP/+86uvrVVhYqOuuu04ffPDBoIu3zS+XWjRakjSeJlYAAAYk4jCyYsUKLViwQNXV1ZoxY4ZWr16t4cOHa+3atX2e/7vf/U633XabSkpKNH36dD344IPy+/2qq6sbdPFDAX0jAAAMTkRhpKurSw0NDaqsrDz5AS6XKisrVV9fH9ZnHD58WMeOHdOYMWP6Paezs1M+n6/XNlR5THBkhDACAMBARBRG2tra1N3drfz8/F7H8/Pz5fF4wvqM7373u5owYUKvQHOq2tpa5eTkhLbCwsJIyowrz4kmVkZGAAAYmLjeTbNs2TKtW7dOGzZsUFZWVr/nLV68WF6vN7Tt27cvjlVGhlVYAQAYnPRITs7Ly1NaWppaWlp6HW9paVFBQcEZ33vvvfdq2bJl+utf/6qZM2ee8Vy32y232x1JadbQMwIAwOBENDKSmZmp0tLSXs2nwWbUioqKft93zz336Cc/+Yk2btyosrKygVc7BIVWYRVhBACAgYhoZESSampqNH/+fJWVlWnWrFlauXKlOjo6VF1dLUmaN2+eJk6cqNraWknST3/6Uy1ZskSPPvqoioqKQr0lI0eO1MiRI6P4q9jRa2TEGMlxLFcEAEBiiTiMVFVV6cCBA1qyZIk8Ho9KSkq0cePGUFNrU1OTXK6TAy7333+/urq69JWvfKXX5yxdulQ/+tGPBlf9ENCq0fIbR27nuHT4Q2lEnu2SAABIKI4xxtgu4mx8Pp9ycnLk9XqVnZ0d1c8uWvTUoD9ji/s2jXMOSf/4gjS+ePBFAQCQBML9+81300RBsG9Evv12CwEAIAERRqLAEwojib/EPQAA8UYYiYLgKqyMjAAAEDnCSBQEV2EljAAAEDnCSBR8YE7cQXNwt91CAABIQISRKNhhzg3stL4dWGsEAACEjTASBe+ZCeoyaVKnTzrUZLscAAASCmEkCo4pXTuDoyMtb9ktBgCABEMYiZLtpjCw0/Km3UIAAEgwhJEo2e6fHNghjAAAEBHCSJS8YyYFdjyEEQAAIkEYiZLt/hNh5OB7UleH3WIAAEgghJEo+VA50ohxkozUut12OQAAJAzCSDQVXBx4pG8EAICwEUaiKf8TgUf6RgAACBthJJrygyMjrDUCAEC4CCPR1DOMsCw8AABhIYxEU96FkitD6vRK3n22qwEAICEQRqIpPVMaOy2wz1QNAABhIYxEG02sAABEhDASbfnc3gsAQCQII9EWHBkhjAAAEBbCSLQVfDLw+OEuqeuw3VoAAEgAhJFoGzlOGjFWLAsPAEB4CCOxwFQNAABhI4zEAk2sAACEjTASCywLDwBA2AgjsRD89l7PmywLDwDAWRBGYiHvQsmVfmJZ+PdtVwMAwJBGGImFdLeUF1wWnr4RAADOhDASK9xRAwBAWAgjsVJAEysAAOFIt11AMila9FRo/2pXh/4tU9q17WVd23Dy+J5lc22UBgDAkMXISIxs90+SJBU5HmWp03I1AAAMXYSRGDmgXLWZbKU5Rhc63FEDAEB/CCMx4+gdf6EkabqryXItAAAMXYSRGNpuJkuSLnIIIwAA9IcwEkPvnOgbuYiREQAA+kUYiaHt5kQYcfZKYll4AAD6QhiJoZ1moo6ZNOU4hzVeB22XAwDAkEQYiaEuZWiXmSBJusi113I1AAAMTYSRGHvHnLijhiZWAAD6RBiJsWAT6wyaWAEA6BNhJMaCt/cyMgIAQN8IIzEWXBb+PKdZbnVZrgYAgKGHMBJjrcrVh2YUy8IDANAPwkjMOT0WP+OOGgAATkUYiYOTi5/RNwIAwKkII3HwzokwMt3ZZ7kSAACGHsJIHGzvOU1jWBYeAICeCCNxsNNM1HHjUq7TIfn22y4HAIAhhTASB53K1HtmfOBJy5t2iwEAYIghjMRJcPEzwggAAL0RRuIkeHuvPIQRAAB6IozESfD2Xnm22S0EAIAhhjASJ2/4z5ffONKH70reD2yXAwDAkEEYiZODytbrZmrgyf9stFsMAABDCGEkjuq6Lw3sEEYAAAgZUBhZtWqVioqKlJWVpfLycm3ZsqXfc9966y3ddNNNKioqkuM4Wrly5UBrTXjP+ksDO+9tlro67BYDAMAQEXEYWb9+vWpqarR06VJt3bpVxcXFmjNnjlpbW/s8//Dhwzr//PO1bNkyFRQUDLrgRPaumSjlTpa6O6Vdz9suBwCAISHiMLJixQotWLBA1dXVmjFjhlavXq3hw4dr7dq1fZ5/2WWXafny5fra174mt9s96IITmyNN+1xg93+esVsKAABDRERhpKurSw0NDaqsrDz5AS6XKisrVV9fH7WiOjs75fP5em1JIxRG/iz5/XZrAQBgCIgojLS1tam7u1v5+fm9jufn58vj8UStqNraWuXk5IS2wsLCqH22dZOukNzZUscB6YMG29UAAGDdkLybZvHixfJ6vaFt3759tkuKnvRMaeq1gX2magAAiCyM5OXlKS0tTS0tLb2Ot7S0RLU51e12Kzs7u9eWVKZ9PvC4gzACAEBEYSQzM1OlpaWqq6sLHfP7/aqrq1NFRUXUi0taUyslJ01qfVv6aK/tagAAsCriaZqamhqtWbNGv/3tb7V9+3bdeuut6ujoUHV1tSRp3rx5Wrx4cej8rq4uNTY2qrGxUV1dXfrggw/U2NionTt3Ru+3SDTDx0iTLg/sswAaACDFpUf6hqqqKh04cEBLliyRx+NRSUmJNm7cGGpqbWpqkst1MuPs379fl1xySej5vffeq3vvvVezZ8/Wpk2bBv8bJKppn5P2/k3a8bRU/o+2qwEAwBrHGGNsF3E2Pp9POTk58nq9Ue8fKVr0VFQ/72z2LJsb2GnbKf2yVHJlSP/nPSkryfpiAAApL9y/30PybpqUkDdVOmeq5D8m7ao7+/kAACQpwohNwQXQuKsGAJDCIu4ZweD0nBaa5eTqMbf00X8/pbIt/6lupUnqMZUDAEAKYGTEogZzoQ6ZERrtfKxLnXdtlwMAgBWEEYu6labn/IE7jSrTWBoeAJCaCCOW1XVfKkmqdG21XAkAAHYQRix7wT9Tx0yapriadZ7TbLscAADijjBiWbuG62X/RZKkaxkdAQCkIMLIEFDnPzFVk0YYAQCkHsLIEPDXE2GkzNmhHH1suRoAAOKLMDIEvG/G6R1/odIdv65xNdouBwCAuCKMDBF1oVt8maoBAKQWwsgQEbzFd7brDel4l+VqAACIH8LIENFopuqAyVa2c1hqesl2OQAAxA1hZIjwy6XnuwNTNdqx0W4xAADEEWFkCAne4qsdT0vG2C0GAIA4IYwMIf/l/6Q6TYZ0aK+050Xb5QAAEBeEkSHksLL0WPfswJNNy+wWAwBAnBBGhphVx6+X0jKlvS9Ku1+wXQ4AADFHGBliPDpHunR+4MnztfSOAACSHmFkKLryrsDoSNNL0u7NtqsBACCmCCNDUc5EqfQfAvubljE6AgBIaoSRoerKGinNLTXVS+9tsl0NAAAxQxgZqrLHS2XVgf1N9I4AAJIXYWQou/IuKT1L2veKtOs529UAABAThJGhbFSBVPb1wD6jIwCAJEUYGeo+dUdgdOT9V6WddbarAQAg6tJtF4DTFS16qtfzH6R/Wt9Mf0avP/xd3dh1tyRHe5bNtVMcAABRxshIAlh9/Es6YjJ1iWunrnH9t+1yAACIKsJIAmhTjh7u/qwk6c7030uidwQAkDwIIwnigeNf0GHjVonrPX3a1Wi7HAAAooYwkiA+VI7+LTQ68h/cWQMASBqEkQSy5vhcHTZuFbvek/5no+1yAACICsJIAgmMjlwXeMK6IwCAJEEYSTAPHJ+rDuOWmv9beu3XtssBAGDQCCMJ5iNl6+fHvxx48vT/4Uv0AAAJjzCSgH7V/QXpk1+VTLf02DypbaftkgAAGDDCSEJypC/dJ507SzrqlR79qnT4oO2iAAAYEMJIosrIkr72OymnUDq4S3p8vtR9zHZVAABEjDCSyEaOk25eJ2WOlHa/ID39L9xhAwBIOISRRFdwsXTTg5IcqeE30isP2K4IAICI8K29CerUb/ZdkHazvp/xqLqfWaRv/OeH2uQv4Zt9AQAJgZGRJLGme67WH79GaY7RfRn36QLnfdslAQAQFsJI0nD0g+Nf1yv+6RrlHNGvM5ZLHW22iwIA4KwII0nkmNL17a47tdc/TpNcB6T1fycd77RdFgAAZ0QYSTIfKVvfOPYd+cwwqaleeugL0kd7bJcFAEC/CCNJaKc5V98+dpfkzpHe3yLdf6X0xmO2ywIAoE+EkST1kv9i6dYXpcLLpa526YkF0hPfko76bJcGAEAvhJFkljtJ+oenpGu+Jzlp0hvrpdVXSvu22K4MAIAQwkiyS0uXrvmuVP1MIJwc2iut/V/S5nskf7ft6gAAkGPM0F8/3OfzKScnR16vV9nZ2VH97FMXD0tmo3RYP8lYqxvSXpIkveKfrru6btNLy+ZbrgwAkIzC/fvNyEgKaddw3Xnsdt3ZdZvazTCVu97RRvci6eXVUme77fIAACmKMJKCnvRfqc93/V9t9U9VtnNY2vhd6WcXSc8skj7cZbs8AECKIYykqH0mX1/tWqIfHKuWzrkgcMfNK/dL95VKv/uqtOs5vgEYABAXhJEUdlzpeqT7s9LCLdLf/Yd0wXWSjPTun6WHb5RWlUuvPih1fmy7VABAEqOBNYUaWMNR5DRrftpf9JW0FzTKOSJJ8pnhyi7939L5s6Wiq6WRYy1XCQBIBOH+/SaMEEb6NFKHdVPaf2l+2p91vsvT+8Vxn5DOuzqwTb5CGpZrpUYAwNBGGAkTYeTMHPl1petNPXy1T9r9gtTy5iknuKTxJYFRk8LLpbEXSrmTJVealXoBAENHuH+/0wfy4atWrdLy5cvl8XhUXFys++67T7Nmzer3/Mcff1w//OEPtWfPHl1wwQX66U9/qs9//vMD+dGIMyOX/ss/U0WbJOlKjZFPl7ve1hWut3SF663AqMn+rYEtKM0tnTNFOmeqlHfhiW1qoFE2K7phEgCQ+CIOI+vXr1dNTY1Wr16t8vJyrVy5UnPmzNGOHTs0bty4085/6aWXdPPNN6u2tlZf+MIX9Oijj+qGG27Q1q1bdfHFF0fll0D8HFS2nvZfrqf9l0uSxutDVbje0hVpb+srEw5Kbe9K3Z1S69uB7VQjxkmj8qWRwW3cKY/50oixkjtbctFfDQCpIOJpmvLycl122WX65S9/KUny+/0qLCzUP/3TP2nRokWnnV9VVaWOjg796U9/Ch27/PLLVVJSotWrV4f1M5mmSRwu+TXBadNUZ7/Od5o1xdmvKa79muLs11jHG9mHZY6S3Ce2rOyT++7swJYxTErPkjKyAo/pWSeOuaX0YYHjaZmSKz3wmJZxYj9DcmWcOJYeOOakBaaWnDRCEABESUymabq6utTQ0KDFixeHjrlcLlVWVqq+vr7P99TX16umpqbXsTlz5ujJJ5/s9+d0dnaqs7Mz9NzrDfwR8/mi/42z/s7DUf/MVOaX1KSRatKFek4X9nptlDo00TmgPMerPMenPPlO7jtejZFXeY5X2c7RwBs6fVK7rW8ZPhFKQkHFFeiPCW3O6c/lnP6oE+eFjunkY89jcgKnn3b8xPNT3xd6qed5p7zW7zl9CeOcaH0OgKHpc8uksdOi+pHBv9tnG/eIKIy0tbWpu7tb+fn5vY7n5+frnXfe6fM9Ho+nz/M9Hk+f50tSbW2t7r777tOOFxYWRlIuhqA+Jm4AAENC/72fg9Xe3q6cnJx+Xx9QA2usLV68uNdoit/v18GDB3XOOefICet/Z+Hx+XwqLCzUvn37oj79g9NxveOL6x1fXO/44nrH10CvtzFG7e3tmjBhwhnPiyiM5OXlKS0tTS0tLb2Ot7S0qKCgoM/3FBQURHS+JLndbrnd7l7HcnNzIyk1ItnZ2fxjjiOud3xxveOL6x1fXO/4Gsj1PtOISFBEnXqZmZkqLS1VXV1d6Jjf71ddXZ0qKir6fE9FRUWv8yXp2Wef7fd8AACQWiKepqmpqdH8+fNVVlamWbNmaeXKlero6FB1dbUkad68eZo4caJqa2slSXfccYdmz56tn/3sZ5o7d67WrVun1157Tb/61a+i+5sAAICEFHEYqaqq0oEDB7RkyRJ5PB6VlJRo48aNoSbVpqYmuXrcGnnFFVfo0Ucf1Q9+8AN973vf0wUXXKAnn3xySKwx4na7tXTp0tOmhBAbXO/44nrHF9c7vrje8RXr650Qy8EDAIDkxepOAADAKsIIAACwijACAACsIowAAACrUjqMrFq1SkVFRcrKylJ5ebm2bNliu6Sk8MILL+iLX/yiJkyYIMdxTvseImOMlixZovHjx2vYsGGqrKzUu+++a6fYJFBbW6vLLrtMo0aN0rhx43TDDTdox44dvc45evSoFi5cqHPOOUcjR47UTTfddNpihAjP/fffr5kzZ4YWf6qoqNAzzzwTep1rHTvLli2T4zi68847Q8e43tH1ox/9SI7j9NqmT58eej1W1ztlw8j69etVU1OjpUuXauvWrSouLtacOXPU2tpqu7SE19HRoeLiYq1atarP1++55x794he/0OrVq/XKK69oxIgRmjNnjo4ePRrnSpPD5s2btXDhQr388st69tlndezYMV133XXq6OgInXPXXXfpj3/8ox5//HFt3rxZ+/fv15e//GWLVSeuc889V8uWLVNDQ4Nee+01feYzn9H111+vt956SxLXOlZeffVVPfDAA5o5c2av41zv6PvEJz6h5ubm0Pbiiy+GXovZ9TYpatasWWbhwoWh593d3WbChAmmtrbWYlXJR5LZsGFD6Lnf7zcFBQVm+fLloWOHDh0ybrfb/Pu//7uFCpNPa2urkWQ2b95sjAlc34yMDPP444+Hztm+fbuRZOrr622VmVRGjx5tHnzwQa51jLS3t5sLLrjAPPvss2b27NnmjjvuMMbwbzsWli5daoqLi/t8LZbXOyVHRrq6utTQ0KDKysrQMZfLpcrKStXX11usLPnt3r1bHo+n17XPyclReXk51z5KvF6vJGnMmDGSpIaGBh07dqzXNZ8+fbomTZrENR+k7u5urVu3Th0dHaqoqOBax8jChQs1d+7cXtdV4t92rLz77ruaMGGCzj//fN1yyy1qamqSFNvrPSS/tTfW2tra1N3dHVo1Nig/P1/vvPOOpapSg8fjkaQ+r33wNQyc3+/XnXfeqU996lOhVY49Ho8yMzNP+7JJrvnAbdu2TRUVFTp69KhGjhypDRs2aMaMGWpsbORaR9m6deu0detWvfrqq6e9xr/t6CsvL9dDDz2kadOmqbm5WXfffbeuuuoqvfnmmzG93ikZRoBktXDhQr355pu95ngRfdOmTVNjY6O8Xq9+//vfa/78+dq8ebPtspLOvn37dMcdd+jZZ59VVlaW7XJSwuc+97nQ/syZM1VeXq7Jkyfrscce07Bhw2L2c1NymiYvL09paWmndQC3tLSooKDAUlWpIXh9ufbRd/vtt+tPf/qTnn/+eZ177rmh4wUFBerq6tKhQ4d6nc81H7jMzExNnTpVpaWlqq2tVXFxsX7+859zraOsoaFBra2tuvTSS5Wenq709HRt3rxZv/jFL5Senq78/Hyud4zl5ubqwgsv1M6dO2P67zslw0hmZqZKS0tVV1cXOub3+1VXV6eKigqLlSW/8847TwUFBb2uvc/n0yuvvMK1HyBjjG6//XZt2LBBzz33nM4777xer5eWliojI6PXNd+xY4eampq45lHi9/vV2dnJtY6ya6+9Vtu2bVNjY2NoKysr0y233BLa53rH1scff6xdu3Zp/Pjxsf33Paj21wS2bt0643a7zUMPPWTefvtt861vfcvk5uYaj8dju7SE197ebl5//XXz+uuvG0lmxYoV5vXXXzd79+41xhizbNkyk5uba/7whz+YN954w1x//fXmvPPOM0eOHLFceWK69dZbTU5Ojtm0aZNpbm4ObYcPHw6d8+1vf9tMmjTJPPfcc+a1114zFRUVpqKiwmLViWvRokVm8+bNZvfu3eaNN94wixYtMo7jmL/85S/GGK51rPW8m8YYrne0/fM//7PZtGmT2b17t/nb3/5mKisrTV5enmltbTXGxO56p2wYMcaY++67z0yaNMlkZmaaWbNmmZdfftl2SUnh+eefN5JO2+bPn2+MCdze+8Mf/tDk5+cbt9ttrr32WrNjxw67RSewvq61JPOb3/wmdM6RI0fMbbfdZkaPHm2GDx9ubrzxRtPc3Gyv6AT29a9/3UyePNlkZmaasWPHmmuvvTYURIzhWsfaqWGE6x1dVVVVZvz48SYzM9NMnDjRVFVVmZ07d4Zej9X1dowxZnBjKwAAAAOXkj0jAABg6CCMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsOr/AyAoy63iNcp8AAAAAElFTkSuQmCC", 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", "text/plain": [ "
" ] @@ -241,8 +250,8 @@ } ], "source": [ - "cut = model.population.doi > 10000\n", - "plt.hist((model.population.doi[cut] - model.population.dob[cut])/365, bins=np.arange(50), density=True)\n", + "cut = model.agents.doi > 10000\n", + "plt.hist((model.agents.doi[cut] - model.agents.dob[cut])/365, bins=np.arange(50), density=True)\n", "mu = ((1+model.params.cbr/1000)**(1/365)-1)\n", "R0 = model.params.beta / (1/model.params.inf_mean + mu)\n", "\n", @@ -253,28 +262,28 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2.0731607073863962" + "1.9953042108854562" ] }, - "execution_count": 27, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "cut = model.population.doi > 1\n", - "np.mean(model.params.nticks - model.population.dob[~cut])/365" + "cut = model.agents.doi > 1\n", + "np.mean(model.params.nticks - model.agents.dob[~cut])/365" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -283,7 +292,7 @@ "1.9611573796171695" ] }, - "execution_count": 28, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -294,16 +303,16 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(1.0, 713.0572748497342)" + "(1.0, 715.8772447754612)" ] }, - "execution_count": 29, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -311,9 +320,9 @@ "source": [ "from scipy.stats import expon\n", "from scipy.stats import kstest\n", - "cut = model.population.doi > 1000 \n", - "cut = cut & ((model.population.doi - model.population.dob)>0)\n", - "data = (model.population.doi[cut] - model.population.dob[cut])\n", + "cut = model.agents.doi > 1000 \n", + "cut = cut & ((model.agents.doi - model.agents.dob)>0)\n", + "data = (model.agents.doi[cut] - model.agents.dob[cut])\n", "params = expon.fit(data)\n", "params\n", "kstest(data, expon.cdf, params)\n", @@ -322,7 +331,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -331,13 +340,13 @@ "(0.0, 2500.0)" ] }, - "execution_count": 11, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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iGvAYw/RgKvtrv8CrOhVbRPqQSo2I9It83x7GZD3JtpRWGi0LyxhmtCZRUfs5XgtPdjueiMSg8/rweuXKlRQVFREfH09xcTEbNmw46/gVK1YwceJEEhISKCws5Bvf+AadnZ3nFVhEBrds7yEuzf8x7WMfZWtqG8aymN7qJ/PQdaw/di8VKjQi0k96vafmiSeeYOnSpTz88MMUFxezYsUKFi1axJ49e8jOzj5l/OOPP84999zDo48+ysKFC9m7dy9f+tKXsCyLBx98sE82QkTcl+GpYmrW/2VHWkP3d8xMafPSVPu/eKPzYrfjicgw0OtS8+CDD3LLLbdw8803A/Dwww+zevVqHn30Ue65555Txr/xxhtccsklXH/99QAUFRVx3XXX8dZbb11gdBEZDFLsOmZl/V92p1VTbp8sMxd12IRqr+Ct9k+4HU9EhpFeffwUDofZvHkzpaWl7z+AbVNaWkpZWdlp11m4cCGbN2/u/ojq4MGDPP/881x99dUXEFtE3JZkN3FZ1s9ImvBvlGfU0GlbjOuEcUf/is2H/5ntKjQiMsB6taemvr6eaDRKTk5Oj+U5OTns3r37tOtcf/311NfXc+mll2KMIRKJcNttt/Hd7373jM8TCoUIhULdfw8Gg72JKSL9yG+1Mn/EbzmUcYByjw3YjA4Z4usWsqllMed5qJ6IyAXr91efdevW8eMf/5iHHnqIt99+m9///vesXr2af/qnfzrjOsuXLycQCHTfCgv1HRYibouzOlmY8Sh543/ElqxDBD02+WHDlKq57Dj4L2xq+TQqNCLipl7tqcnMzMTj8VBTU9NjeU1NDbm5uadd5wc/+AFf/OIX+cpXvgLA9OnTaWtr49Zbb+V73/setn3qi+CyZctYunRp99+DwaCKjYhLPISZn/4kdSO2si3u5J6ZnC6HrIYZbDjxeaL43I4oIgL0stT4fD7mzp3L2rVrufbaawFwHIe1a9dy5513nnad9vb2U4qLx+MBwBhz2nX8fj9+v67EK+ImiwjzA8/QnLmJHT4LsBkRcRjZMIkNjdexnwS3I4qI9NDrs5+WLl3KTTfdxLx581iwYAErVqygra2t+2yoG2+8kYKCApYvXw7A4sWLefDBB5k9ezbFxcXs37+fH/zgByxevLi73IjIYOIwJ/WPhDLfYJcfwCIQdRjTOJaNDX/HYZPsdkARkdPqdalZsmQJdXV13HvvvVRXVzNr1izWrFnTffBwRUVFjz0z3//+97Esi+9///tUVlaSlZXF4sWL+Zd/+Ze+2woR6QMOM5L/gpX1MvviT+5FTY46TDhRyNsNf8drTrrL+UREzs4yZ/oMaBAJBoMEAgGam5tJTU11O47IoFF0z+o+eZzJia++e+VsB4B4x2FKUy7ldX9Hs3Pql2qKiJwLJ9TO0RWfH7D3b137SWQYG5+wgfSs59idFAHA5ximNY9gR90NvBItcDmdiEjvqNSIDENF/i3kZv+eHckhagCvMUwPBthbex2vRMa4HU9E5Lyo1IgMIwW+3YzOfpLtyW00vHfl7JYkDtd9nlfDk9yOJyJyQVRqRIaBHO8hJmQ/zvbUINvevdjk9FY/x2s/w/rQDLfjiYj0CZUakRg2wlPJlOzfsiPw/pWzp7bF0Vi7mDc6F7gdT0SkT6nUiMSgVE8tMzP/L7vSarqvnD2p3UNb3SLebP+Y2/FERPqFSo1IDEm2TzA78/+wN/0Y5bYNWIzvtHDq/oqNraWA5XZEEZF+o1IjEgPirRbmjfgthzIOdl85uygEvrpL2dxyNbrQpIgMByo1IkOYz+pgXsbjHMvYwxbvyTIzMmxIqVvAxuCnMfoVF5FhRK94IkOQMYbVr97HyPH/zbZ3y0xul0Nm/Sw2NH2OKHFuRxQRGXAqNTJs9dUlBgZakt3EzPz/YFtKO3htMiMOBQ2Teavxevahq9uLyPClUiMyhEyI34hV8DTbfBYeY5jRUMBb9V/mkElyO5qIiOtUakSGBIdLRvyanVn7iVgW2V0O/qpreLX9424HExEZNFRqRAa5gKeGSQU/Z2tSFye/CdjH9sqvEXSy3I4mIjKoqNSIDGJTE9fRVvA8O702PscwuW4i6xu/hE7RFhE5lUqNyCBkE2Fh9kNsy6jEsWwKwoZI5edY3znP7WgiIoOWSo3IIJPlPULhyF+yJcEBLGYFk9lc9Q+0m1S3o4mIDGoqNSKDyOyU1dTmvcI+j02i4zCmeg6vNX/B7VgiIkOCSo3IIBBndXJxzs8oT28AbMaEoOnYl3gzPMXtaCIiQ4ZKjYjLCny7yRj5GOXvfm/enBMZlNV8jbBJcDeYiMgQo1Ij4qIFgSc5kruJw7ZNIOqQc/wyXmlZ7HYsEZEhSaVGxAUJVpA5+f/B1tRWwOaiDptjx25jc6TI7WgiIkOWSo3IABsb/za+gifY6rOwjWFWYwHra2/XRShFRC6QSo3IgHFYmPFf7MnaTdi2yIw4pFRdySttf+V2MBGRmKBSIzIAUux6phb8jG3JIcBialsceyrv4FA01+1oIiIxQ6VGpJ9NTnyNcP7/sCPOxmsM0+rGsb7hyxg8bkcTEYkpKjUi/cQiwqVZv2LbiCNELZu8sINV+be81nmx29FERGKSSo1IPxjhrWRMwUOUJ0YBi5ktCZRX/QOtTrrb0UREYpZKjUgfm5H8Aify17LHYxPvOIyvncH6E9ejK2uLiPQvlRqRPuKlk5KchyjPqAVsRocMrZVfpCw03e1oIiLDgkqNSB/I9+0jq+BRyuMNALObArxV/Q+ETJLLyUREhg+VGpELNC/19xzLe5ODtk1K1KGguoRXg3/jdiwRkWFHpUbkPPmtVubn/QdbAkHAZnyHRU3l37Oxa5zb0UREhiWVGpHzMNq/laSRv2WLz8Iyhtkncnm95qtE8LsdTURk2FKpEekVh4szfsv+rO002hYZEYf046W80nqF28FERIY9lRqRc5RsNzI9/2dsT+kALCa3eTlYeTtHogVuRxMREVRqRM7JRQlv4hQ8w/Y4C68xTK8v4rX6WzD6FRIRGTT0iixyFhYRFmb+mh2ZB4laFjldDr7KT/Fqx6VuRxMRkQ9RqRE5g3TPcSYUPMTWpC7AYnpLPNuqvkaLM8LtaCIichoqNSKnMT35LwTz/swur43fMUyqm8L6xi+iSx2IiAxeKjUiH+AhzMKcX7AlvQpj2RSGDZ3HrmN9aJbb0URE5COo1Ii8K8d7iPyRj1Ce4AAWs5tT2Hj8a3SYVLejiYjIOVCpEQHmpD7H8dz17PfYJDkORdXzebX5c27HEhGRXlCpkWHNZ7WzIPdnbEk7AdiM64S6yq/wZvgit6OJiEgvqdTIsFXo30Fqwf9hy7tXNpjTmMkbNXfSRby7wURE5Lyo1MiwY4zhDy9/l86i/6HJtkiLOmRWfYJXWq92O5qIiFwAlRoZVozj8O/PfI7ftO4F22JSu4cjlV/lncgot6OJiMgFUqmRXiu6Z7XbEc7bpVk/Y0tmJQBz6gt4re52HP0aiIjEBL2ay7BxaeYvuwvNrNqxvNJwq8uJRESkL+nrUWVYWJjxKFuyDgEwp24kr6nQiIjEHJUaiXkXp/2WbTl7AZjTmMMr9Xe4nEhERPqDSo3EtAWBp9iZuxWAOScyeKXmLsByN5SIiPQLlRqJWXNSn2Nv3iaMZTG7KZVXqr+F/smLiMQuvcJLTJqZvIZD+a8TtSxmBpNYf/w76J+7iEhs06u8xJxpSS9RWfAyEctieks8ZZV367RtEZFhQKVGYsqkxPXUjlxDyLaY1hbHxmP3EMXndiwRERkAKjUSMybEb6Sp8Dk6bJvJ7R7ePnqPruMkIjKMqNRITCjyb6F91FO02TYTOmy2VdxNyCS5HUtERAaQSo0MeYW+nTijfkvQYzOuE/ZWfJsOk+p2LBERGWAqNTKk5cXtxzv6MU54bYpCcPDIN2l10t2OJSIiLjivUrNy5UqKioqIj4+nuLiYDRs2nHV8U1MTd9xxB3l5efj9fi666CKef/758wos8p4s7xGSRv+Keq/NyLCh8shdBJ0st2OJiIhLen2e6xNPPMHSpUt5+OGHKS4uZsWKFSxatIg9e/aQnZ19yvhwOMxf//Vfk52dzdNPP01BQQFHjhwhLS2tL/LLMJXhqSJj9ENUxdnkdTnUH7mDxmie27FERMRFvS41Dz74ILfccgs333wzAA8//DCrV6/m0Ucf5Z577jll/KOPPkpjYyNvvPEGcXFxABQVFV1YahnWUj215I3+Dyp8FtldDq1H/p66yGi3Y4mIiMt69fFTOBxm8+bNlJaWvv8Atk1paSllZWWnXee5556jpKSEO+64g5ycHKZNm8aPf/xjotHoGZ8nFAoRDAZ73EQAku1GikY9SIUfRkQcwhU3U9U1zu1YIiIyCPSq1NTX1xONRsnJyemxPCcnh+rq6tOuc/DgQZ5++mmi0SjPP/88P/jBD3jggQf453/+5zM+z/LlywkEAt23wsLC3sSUGJVgNTNh1E85FA+BqINV8XccDU92O5aIiAwS/X72k+M4ZGdn86tf/Yq5c+eyZMkSvve97/Hwww+fcZ1ly5bR3NzcfTt69Gh/x5RBzm+1MXXUT9if4JASdUio+DyHQjPcjiUiIoNIr46pyczMxOPxUFNT02N5TU0Nubm5p10nLy+PuLg4PB5P97LJkydTXV1NOBzG5zv1K+z9fj9+v7830SSGxVmdzCy8n12JURIdh8DRa9nVOc/tWCIiMsj0ak+Nz+dj7ty5rF27tnuZ4zisXbuWkpKS065zySWXsH//fhzH6V62d+9e8vLyTltoRD7IQ5i5I5ezK6kLv2PIOno1uzoWuh1LREQGoV5//LR06VIeeeQR/uu//otdu3Zx++2309bW1n021I033siyZcu6x99+++00NjZy1113sXfvXlavXs2Pf/xj7rjjjr7bColJFhGKR97PjuQQccYwsvKTbG//hNuxRERkkOr1Kd1Lliyhrq6Oe++9l+rqambNmsWaNWu6Dx6uqKjAtt/vSoWFhbzwwgt84xvfYMaMGRQUFHDXXXdx9913991WSAyKckn+T9iS0o7XGMZWXsKm1ivdDiUiIoOYZYwxbof4KMFgkEAgQHNzM6mpuqaP24ruWd3Pz+BwWd5PKU9rxDaGSVXzeSv42X5+ThER6WtOqJ2jKz4/YO/fuvaTDDKGy3JWUJ7WCMCU6pkqNCIick5UamRQuSxrJeUZtQDMrJlIWdP1LicSEZGhQqVGBo1LMn9JeeYxAGbVjmV9480uJxIRkaFEpUYGhYUZv2Fr1iEAZteP5LWGW11OJCIiQ41Kjbju4rTH2ZazB4A5jTm8WqfT/UVEpPdUasRV8wNPsyt3CwBzTmTwSs1dgOVuKBERGZJUasQ1c1KfY1/eRhzLYlZzKq9WfxP9kxQRkfOldxBxxYzkFzic/zpRy2JmMJHXq76DwfPRK4qIiJyBSo0MuKlJL1NV8BJdlsX0Vj9llffg9P7LrUVERHpQqZEBNSnhDepG/omQbTGlLY6NR5cRRRc2FRGRC6dSIwNmfPxGmgufpcO2mdTuofzoPXQR73YsERGJESo1MiCK/FvoGPUUrR6bCR0WOyruJmSS3I4lIiIxRKVG+t1I3y6cUb8l6LEZ2wn7Kr5Du9GFSUVEpG+p1Ei/yovbj2/0bzjhtRkdMhw+spQWJ93tWCIiEoNUaqTfZHkrSB79CHVem5Fhw/Ejd9HsZLsdS0REYpRKjfSLdE8VI0avpDrOIq/Lof7IV2mI5rsdS0REYphKjfS5FLuO/NH/QaXPIivi0HrkVuoio92OJSIiMU6lRvpUst3ImNEPUuGHjIhD5MiXqOoa73YsEREZBlRqpM8kWEEmjPoph+INgaiDXXEDFeEpbscSEZFhQqVG+oTfamPqqH9lf4JDStQhoeJzHArNdDuWiIgMIyo1csHi6GRW4f3sSYyS6DgEjn6KfZ3z3Y4lIiLDjEqNXBAPYeYV3s/OpC78jiH72JXs6rjU7VgiIjIMqdTIebOIcHHB/WxP7iTOGAorP8m2tr9yO5aIiAxTKjVynhwuyf8JW1Pb8RrD2MqFvNN6pduhRERkGFOpkfPgcFnuT9kSCGIbw0XH57Gp5dNuhxIRkWFOpUZ67bKc/5/y9EYAptbM4K3mz7mcSERERKVGeulXz91IeUYNADNqJvLGiRtcTiQiInKS1+0Aw0nRPavdjnBBZqX8iQMj3zn559oxvNZ4s8uJRERE3qc9NXJOUuw6mnJfBmB2UzqvNfy9y4lERER6UqmRczIj7xc0eG3yw4YN1Xe4HUdEROQUKjXykeam/oGtqe3YxmBXLabTJLsdSURE5BQqNXJWaZ7j1Oa+DsCsEzn6tmARERm0VGrkLAyT839Jk8dmVMjwZu1tbgcSERE5I5UaOaMFgafZntyJ1xjCVZ8hZBLdjiQiInJGKjVyWpneY1TmbARgRmMB+zoXuJxIRETk7FRq5DQcxuX/iqDHZkwI3qjV6dsiIjL4qdTIKS5OW8XOpDBxxtBauYQu/G5HEhER+UgqNdJDtvcQh3PKAZhWP5qDodnuBhIRETlHKjXyAQ6jC35Nm20zvtPi9fqvuB1IRETknKnUSLeFGf+b3YkR/I6hseoGovjcjiQiInLOVGoEgHzfXvZn7QRgcv04joSmuZxIRESkd1RqBIsIefmP0WHbXNRhs77h/3M7koiISK+p1AgLR/yGvQkOCY5DddVNGLxuRxIREek1lZphrtC/kz2Z+wGYUDeZyvBElxOJiIicH5WaYcwmwoj8/0PItpjU7uH1xpvcjiQiInLeVGqGsUsyH+FAvCHJcTha+WX0z0FERIYyvYsNU0X+LezIPAzAmNoZVEfGuhtIRETkAqnUDENeQqQU/I4uy2JKWxxlJ653O5KIiMgFU6kZhkqyfsVhP6REHQ5U3Yr+GYiISCzQu9kwMyF+I9tHHAOgsGY+9ZFClxOJiIj0DZWaYcRndRBX8DQRy2J6q5+3mj/jdiQREZE+o1IzjFyc/QuO+izSog67qm5D0y8iIrFE72rDxKSEN9iSXgNATvVCTkTzXE4kIiLSt1RqhgG/1YrJ/wOOZTEzmMim4LVuRxIREelzKjXDwIKch6jyWYyIOGw5frvbcURERPqFSk2Mm5q4ji1pDQCkV3+CFifL5UQiIiL9Q6UmhiVazYTyn8dYFrOaU3in5Wq3I4mIiPQblZoYNif3IWribLK7HN6p/qrbcURERPqVSk2MmpH8Z7akNQOQVH0FrU66y4lERET613mVmpUrV1JUVER8fDzFxcVs2LDhnNZbtWoVlmVx7bXXns/TyjlKsRtpyfsLALOb0tjaWupyIhERkf7X61LzxBNPsHTpUu677z7efvttZs6cyaJFi6itrT3reocPH+Zb3/oWl1122XmHlXMzI+8h6r02eWGHjfrYSUREholel5oHH3yQW265hZtvvpkpU6bw8MMPk5iYyKOPPnrGdaLRKDfccAM//OEPGTt27AUFlrObnbKaramtWMbgPX4NHSbV7UgiIiIDolelJhwOs3nzZkpL3/84w7ZtSktLKSsrO+N6P/rRj8jOzubLX/7yOT1PKBQiGAz2uMlHS/XU0pj7CgCzmjLZ2f5xlxOJiIgMnF6Vmvr6eqLRKDk5OT2W5+TkUF1dfdp11q9fz69//WseeeSRc36e5cuXEwgEum+FhbqS9LmYlvcLGr02I8OGt2r0sZOIiAwv/Xr2U0tLC1/84hd55JFHyMzMPOf1li1bRnNzc/ft6NGj/ZgyNsxLfYZtKR14jMGpupaQSXI7koiIyIDy9mZwZmYmHo+HmpqaHstramrIzc09ZfyBAwc4fPgwixcv7l7mOM7JJ/Z62bNnD+PGjTtlPb/fj9/v7020YS3DU0V1bhlgM+NELq92lLgdSUREZMD1ak+Nz+dj7ty5rF27tnuZ4zisXbuWkpJT30gnTZrEtm3bKC8v77596lOf4pOf/CTl5eX6WKlPOEzM/yXNHpvRIXiz5ja3A4mIiLiiV3tqAJYuXcpNN93EvHnzWLBgAStWrKCtrY2bb74ZgBtvvJGCggKWL19OfHw806ZN67F+WloawCnL5fwsCDzF9uQQXmPorPocYRLcjiQiIuKKXpeaJUuWUFdXx7333kt1dTWzZs1izZo13QcPV1RUYNv6ouKBkOWt4GjOZsBmesNIXu2c53YkERER11jGGON2iI8SDAYJBAI0NzeTmjp0v3el6J7VffhoDgtG3ceupC7GdsKOQz8kgo5DEhGRwcMJtXN0xecH7P1bu1SGqJL0x9mV1IXPMQSrrlehERGRYU+lZgjK9R7gYPZWAKY0jOFQaIbLiURERNynUjPEWEQYWfAo7bbNhA6L1+u/4nYkERGRQUGlZogpyfjf7EmMEu841FXdiNP7Y71FRERikkrNEFLg28O+rD0ATKyfyNHwZJcTiYiIDB4qNUOETYTs/P+i07aY2O7h9Yab3I4kIiIyqKjUDBELM3/N/gSHRMeh6vjNGH3sJCIi0oNKzRAw2r+NXSMOAjCudhpV4fEuJxIRERl8VGoGOQ9h0vIfJ2xbTGnz8saJv3M7koiIyKCkUjPILcx6hIPxhpSow6Gqr6ApExEROT29Qw5i4+LfZvuICgBG1c6mNlLkbiAREZFBTKVmkIqjk4T8J4lYFtNafbzZtMTtSCIiIoOaSs0gdXH2Lznih0DUYW/VbWiqREREzk7vlIPQhIQ32ZZRBUBedTEN0XyXE4mIiAx+KjWDjN9qw5v/DFHLYkZLAhuDn3E7koiIyJCgUjPIFGc/zDGfRUbEYfvx29yOIyIiMmSo1AwikxNfozy9FoDM6stojua4nEhERGToUKkZJOKtFqJ5f8RYFjODSWxuWex2JBERkSFFpWaQmJ/7EMd9FpkRhy3Hv+p2HBERkSFHpWYQmJ70EuVpJwAIHP8rWpwRLicSEREZelRqXJZkN9GetwaAWc2plLde6XIiERGRoUmlxmVzch+iNs4mt8vh7Wp97CQiInK+VGpcNCv5T5QHggDEH7+SNifN3UAiIiJDmEqNS1LsepryXgZg9ol0trX9lcuJREREhjaVGpfMyPsFDV6b/LBhQ40+dhIREblQKjUumJP6HFtT27CNwa5aTKdJcTuSiIjIkKdSM8ACnhrqc9YDMOtENrs6LnU5kYiISGxQqRlgU/J+wQmvTWHY8Gbt7W7HERERiRkqNQNofuBptqd04jWGrsq/JWQS3Y4kIiISM1RqBkh9/W6qcjYAML0xn32dxS4nEhERiS0qNQPkJy/cRtBjUxSCstrb3I4jIiISc1RqBsDBwy+zpqsegM6qz9KF3+VEIiIiscfrdoDemHbfC9j+oXccyqUF/4xJtZja6uPNznluxxEREYlJ2lPTz/K8B9iR0gJAU70uVikiItJfVGr62fisp4hYFpPaPezuWOh2HBERkZilUtOPMr3H2Jl6AoDOel3bSUREpD+p1PSjyZmrCNsW4zsttrV90u04IiIiMU2lpp+k2nXsCdSe/Ev9pehHLSIi0r/0TttPZmb+jg775PfSvNNyldtxREREYp5KTT9Isps4kHYMgIT6+ejHLCIi0v/0btsPZmf8jhaPTUHYsCn4abfjiIiIDAsqNX3Mb7VRkX4IgPTGGThD6/sNRUREhiyVmj42N/0JTnhtsrscNp74rNtxREREhg2Vmj7kJURNxm4AchsnEdE1nkRERAaMSk0fmp/+NLVxNukRh00nlrgdR0REZFhRqekjNhEaM7YCMPrEGEImyeVEIiIiw4tKTR+ZF/gDVT6LlKjD243XuR1HRERk2FGp6RMO7SM2AjD+xEjanDR344iIiAxDKjV9YHbKnzjih0THobxBe2lERETcoFJzwRxM5noAJjblEHSyXM4jIiIyPKnUXKDpyS9xIN7gcww763XGk4iIiFtUai6Qf8TLAEwJplMfHelyGhERkeFLpeYCTEp4gz2JUbzGsL/uc27HERERGdZUai5AWtYaAKYFUzgeGedyGhERkeFNpeY8jY1/mx1JYSxjONLwN27HERERGfZUas5TXub/ADCtNYGK0FSX04iIiIhKzXko9O1ke3I7ADX1i11OIyIiIqBSc15GZz6DY1lMbYvjQOdct+OIiIgIKjW9luM9xPbUIADNdYtcTiMiIiLvUanppYuyniRqWUxs97Cr41K344iIiMi7zqvUrFy5kqKiIuLj4ykuLmbDhg1nHPvII49w2WWXkZ6eTnp6OqWlpWcdP5iN8FSxK7URgHDDJ9wNIyIiIj30utQ88cQTLF26lPvuu4+3336bmTNnsmjRImpra087ft26dVx33XW8/PLLlJWVUVhYyBVXXEFlZeUFhx9oUzNXEbItxnVabG293O04IiIi8gGWMcb0ZoXi4mLmz5/Pz3/+cwAcx6GwsJCvfe1r3HPPPR+5fjQaJT09nZ///OfceOON5/ScwWCQQCBA4defxPYn9iZun0mx60ic8G+02zYXHbuEzS0660lERORsnFA7R1d8nubmZlJTU/v9+Xq1pyYcDrN582ZKS0vffwDbprS0lLKysnN6jPb2drq6usjIyDjjmFAoRDAY7HFz26wRq2i3bUaFDG+3XOV2HBEREfmQXpWa+vp6otEoOTk5PZbn5ORQXV19To9x9913k5+f36MYfdjy5csJBALdt8LCwt7E7HOJVjMH048CkNQwD4PX1TwiIiJyqgE9++n+++9n1apVPPPMM8THx59x3LJly2hubu6+HT16dABTnmrOiFUEPTb5YYdNzbokgoiIyGDUq10OmZmZeDweampqeiyvqakhNzf3rOv+9Kc/5f777+cvf/kLM2bMOOtYv9+P3+/vTbR+47faOJp+ALDJaJyOo700IiIig1Kv9tT4fD7mzp3L2rVru5c5jsPatWspKSk543o/+clP+Kd/+ifWrFnDvHnzzj+tC+amP0Wj1yYr4rDpxOfcjiMiIiJn0OvdDkuXLuWmm25i3rx5LFiwgBUrVtDW1sbNN98MwI033khBQQHLly8H4F//9V+59957efzxxykqKuo+9iY5OZnk5OQ+3JS+5yVETcZOwCa/cSIHOfNHZiIiIuKuXpeaJUuWUFdXx7333kt1dTWzZs1izZo13QcPV1RUYNvv7wD6xS9+QTgc5rOf/WyPx7nvvvv4x3/8xwtL38/mpf03O+Js0iMOGxu/4HYcEREROYvzOkDkzjvv5M477zztfevWrevx98OHD5/PU7jOIkLTiC2ARdGJIipMktuRRERE5Cx07aczmJv6P1T6LJKjDm83Xud2HBEREfkIKjWn5RDKfAuACU0FtDrpLucRERGRj6JScxqzU9Zw2A8JjsOWBh1LIyIiMhSo1JzCgRGvATCpOZvmaM5HjBcREZHBQKXmQ6YlvsL+BEOcMeyqX+J2HBERETlHKjUfkpB18osFpzanURdx95pTIiIicu5Uaj5gYsKb7E6M4DGGAw2f/egVREREZNBQqfmAjMznAZjWkkxVeILLaURERKQ3VGreNcZfzvbkMJYxHK2/1u04IiIi0ksqNe/Kz3oOgGlt8RwJTXc5jYiIiPSWSg1Q4NvD9uQ2AOrqFrucRkRERM6HSg0wJvNpHMtiSpuXfZ3z3I4jIiIi52HYl5ps72F2pAYBaKm/wuU0IiIicr6GfamZlPkkEcviog6bne0fczuOiIiInKdhXWrSPcfZGWgAIFL/cZfTiIiIyIUY1qVmWuYqQrbFmE7Y0vrXbscRERGRCzBsS02K3cC+tOMA+BouZhj/KERERGLCsH0nnzViFW22TWHYsDn4v9yOIyIiIhdoWJaaBCvIofQjAKTUz8HgdTmRiIiIXKhhWWrmZjxBs8cmt8thU/PfuB1HRERE+sCwKzU+q4NjGfsAyGqcRhSfy4lERESkLwy7UjMv/UkavDaZEYdNJz7ndhwRERHpI8Oq1HgIU5exA4CRjRMImwSXE4mIiEhfGValZl7a76mOswlEHTY1LnE7joiIiPShYVNqLCIER7wDwJgTo+kwqS4nEhERkb40bErN3NQ/csxnkRx1KG+4zu04IiIi0seGSalxCI94E4AJzfm0OBku5xEREZG+NixKzazkP3MoHuIdw7b6L7gdR0RERPrBsCg1duarAExuHsGJaK7LaURERKQ/xHypmZr4CvsSHOKMYVe9zngSERGJVTFfapIyXwRgajBAXWS0y2lERESkv8R0qZkQ/xa7kiLYxnCw/jNuxxEREZF+FNOlJjPreQCmtSZRGZ7ochoRERHpTzFbaor8W9meHAKgsu7TLqcRERGR/hazpaYg81kAprX6ORya6W4YERER6XcxWWryfXvYkdIGQEPd1S6nERERkYEQk6VmXOZ/E7UsJrd52dtZ7HYcERERGQAxV2qyvEfYkdoMQHv95S6nERERkYESc6VmUuaTdFkWEzpstrd/0u04IiIiMkBiqtSkearZHagHwKm/zOU0IiIiMpBiqtTMGLGKTtuiKATlrYvcjiMiIiIDKGZKTYrdyL60KgD89cXE0KaJiIjIOYiZd/5ZGato9diMDBs2Bxe7HUdEREQGWEyUmnirhcMZhwEINMzC4HU3kIiIiAy4mCg18zKeoMljk9vlsLFJF64UEREZjoZ8qYmjk8qMvQBkN04his/lRCIiIuKGIV9q5qc/Rb3XZkTEYdOJz7kdR0RERFwypEuNhzD1I7YDMLJxHCGT5HIiERERccuQLjXzAs9yPM4iEHXY3Hid23FERETERUO21FhEaBmxGYAxJ0bRYVJdTiQiIiJuGrKlZk7q8xz1WyQ6DuUNS9yOIyIiIi4boqXGITLiDQAmNuXS4mS5nEdERETcNiRLzYzkv3AwHvyOYXv9F9yOIyIiIoPAkCw1cSNeAWBKcwaN0XyX04iIiMhgMORKzeTE19ibGMVrDHvqP+92HBERERkkhlypSc38MwBTg6nURMa4nEZEREQGiyFVasbFv83OpC5sYzhcr2s8iYiIyPuGVKnJzHgBgGmtiRwLT3I5jYiIiAwmQ6rU7EzuAOB4/adcTiIiIiKDzXmVmpUrV1JUVER8fDzFxcVs2LDhrOOfeuopJk2aRHx8PNOnT+f5558/r7DGspja6uNg5+zzWl9ERERiV69LzRNPPMHSpUu57777ePvtt5k5cyaLFi2itrb2tOPfeOMNrrvuOr785S/zzjvvcO2113Lttdeyffv28wp8ov7K81pPREREYptljDG9WaG4uJj58+fz85//HADHcSgsLORrX/sa99xzzynjlyxZQltbG3/84x+7l1188cXMmjWLhx9++JyeMxgMEggE+PQD0yivvb83cUVERMQlTqidoys+T3NzM6mp/X+NRm9vBofDYTZv3syyZcu6l9m2TWlpKWVlZaddp6ysjKVLl/ZYtmjRIp599tkzPk8oFCIUCnX/vbm5GYDWqhKcaHtvIouIiIhLnNDJ9+xe7j85b70qNfX19USjUXJycnosz8nJYffu3addp7q6+rTjq6urz/g8y5cv54c//OEpy9c+8AjwSG8ii4iIiMsaGhoIBAL9/jy9KjUDZdmyZT327jQ1NTF69GgqKioG5IciZxYMBiksLOTo0aMDsitRzkxzMXhoLgYXzcfg0dzczKhRo8jIyBiQ5+tVqcnMzMTj8VBTU9NjeU1NDbm5uaddJzc3t1fjAfx+P36//5TlgUBA/0AHidTUVM3FIKG5GDw0F4OL5mPwsO2B+QaZXj2Lz+dj7ty5rF27tnuZ4zisXbuWkpKS065TUlLSYzzAiy++eMbxIiIiIuej1x8/LV26lJtuuol58+axYMECVqxYQVtbGzfffDMAN954IwUFBSxfvhyAu+66i49//OM88MADXHPNNaxatYpNmzbxq1/9qm+3RERERIa1XpeaJUuWUFdXx7333kt1dTWzZs1izZo13QcDV1RU9NjNtHDhQh5//HG+//3v893vfpcJEybw7LPPMm3atHN+Tr/fz3333Xfaj6RkYGkuBg/NxeChuRhcNB+Dx0DPRa+/p0ZERERkMBpS134SEREROROVGhEREYkJKjUiIiISE1RqREREJCYM+lKzcuVKioqKiI+Pp7i4mA0bNrgdKeb84z/+I5Zl9bhNmjSp+/7Ozk7uuOMORowYQXJyMp/5zGdO+ULFiooKrrnmGhITE8nOzubb3/42kUhkoDdlyHn11VdZvHgx+fn5WJZ1yjXRjDHce++95OXlkZCQQGlpKfv27esxprGxkRtuuIHU1FTS0tL48pe/TGtra48xW7du5bLLLiM+Pp7CwkJ+8pOf9PemDTkfNRdf+tKXTvk9ufLKK3uM0Vz0jeXLlzN//nxSUlLIzs7m2muvZc+ePT3G9NXr0rp165gzZw5+v5/x48fz2GOP9ffmDSnnMhef+MQnTvnduO2223qMGbC5MIPYqlWrjM/nM48++qjZsWOHueWWW0xaWpqpqalxO1pMue+++8zUqVPN8ePHu291dXXd9992222msLDQrF271mzatMlcfPHFZuHChd33RyIRM23aNFNaWmreeecd8/zzz5vMzEyzbNkyNzZnSHn++efN9773PfP73//eAOaZZ57pcf/9999vAoGAefbZZ82WLVvMpz71KTNmzBjT0dHRPebKK680M2fONG+++aZ57bXXzPjx4811113XfX9zc7PJyckxN9xwg9m+fbv53e9+ZxISEswvf/nLgdrMIeGj5uKmm24yV155ZY/fk8bGxh5jNBd9Y9GiReY3v/mN2b59uykvLzdXX321GTVqlGltbe0e0xevSwcPHjSJiYlm6dKlZufOneZnP/uZ8Xg8Zs2aNQO6vYPZuczFxz/+cXPLLbf0+N1obm7uvn8g52JQl5oFCxaYO+64o/vv0WjU5Ofnm+XLl7uYKvbcd999ZubMmae9r6mpycTFxZmnnnqqe9muXbsMYMrKyowxJ98MbNs21dXV3WN+8YtfmNTUVBMKhfo1eyz58Bup4zgmNzfX/Nu//Vv3sqamJuP3+83vfvc7Y4wxO3fuNIDZuHFj95g//elPxrIsU1lZaYwx5qGHHjLp6ek95uLuu+82EydO7OctGrrOVGo+/elPn3EdzUX/qa2tNYB55ZVXjDF997r0ne98x0ydOrXHcy1ZssQsWrSovzdpyPrwXBhzstTcddddZ1xnIOdi0H78FA6H2bx5M6Wlpd3LbNumtLSUsrIyF5PFpn379pGfn8/YsWO54YYbqKioAGDz5s10dXX1mIdJkyYxatSo7nkoKytj+vTpPa7GvmjRIoLBIDt27BjYDYkhhw4dorq6usfPPhAIUFxc3ONnn5aWxrx587rHlJaWYts2b731VveYj33sY/h8vu4xixYtYs+ePZw4cWKAtiY2rFu3juzsbCZOnMjtt99OQ0ND932ai/7T3NwM0H1RxL56XSorK+vxGO+N0XvMmX14Lt7z29/+lszMTKZNm8ayZctob2/vvm8g52JQXqUboL6+nmg02uOHAJCTk8Pu3btdShWbiouLeeyxx5g4cSLHjx/nhz/8IZdddhnbt2+nuroan89HWlpaj3VycnKorq4GoLq6+rTz9N59cn7e+9md7mf7wZ99dnZ2j/u9Xi8ZGRk9xowZM+aUx3jvvvT09H7JH2uuvPJK/vZv/5YxY8Zw4MABvvvd73LVVVdRVlaGx+PRXPQTx3H4+te/ziWXXNL9TfR99bp0pjHBYJCOjg4SEhL6Y5OGrNPNBcD111/P6NGjyc/PZ+vWrdx9993s2bOH3//+98DAzsWgLTUycK666qruP8+YMYPi4mJGjx7Nk08+qV9qkXd94Qtf6P7z9OnTmTFjBuPGjWPdunVcfvnlLiaLbXfccQfbt29n/fr1bkcZ9s40F7feemv3n6dPn05eXh6XX345Bw4cYNy4cQOacdB+/JSZmYnH4znlaPaamhpyc3NdSjU8pKWlcdFFF7F//35yc3MJh8M0NTX1GPPBecjNzT3tPL13n5yf9352Z/sdyM3Npba2tsf9kUiExsZGzU8/Gzt2LJmZmezfvx/QXPSHO++8kz/+8Y+8/PLLjBw5snt5X70unWlMamqq/ofuQ840F6dTXFwM0ON3Y6DmYtCWGp/Px9y5c1m7dm33MsdxWLt2LSUlJS4mi32tra0cOHCAvLw85s6dS1xcXI952LNnDxUVFd3zUFJSwrZt23q8oL/44oukpqYyZcqUAc8fK8aMGUNubm6Pn30wGOStt97q8bNvampi8+bN3WNeeuklHMfpfmEpKSnh1Vdfpaurq3vMiy++yMSJE/VxxwU4duwYDQ0N5OXlAZqLvmSM4c477+SZZ57hpZdeOuUju756XSopKenxGO+N0XvM+z5qLk6nvLwcoMfvxoDNRa8OKx5gq1atMn6/3zz22GNm586d5tZbbzVpaWk9jqCWC/fNb37TrFu3zhw6dMi8/vrrprS01GRmZpra2lpjzMlTJ0eNGmVeeukls2nTJlNSUmJKSkq613/vdL0rrrjClJeXmzVr1pisrCyd0n0OWlpazDvvvGPeeecdA5gHH3zQvPPOO+bIkSPGmJOndKelpZk//OEPZuvWrebTn/70aU/pnj17tnnrrbfM+vXrzYQJE3qcRtzU1GRycnLMF7/4RbN9+3azatUqk5iYqNOIP+Rsc9HS0mK+9a1vmbKyMnPo0CHzl7/8xcyZM8dMmDDBdHZ2dj+G5qJv3H777SYQCJh169b1OE24vb29e0xfvC69dxrxt7/9bbNr1y6zcuVKndL9IR81F/v37zc/+tGPzKZNm8yhQ4fMH/7wBzN27FjzsY99rPsxBnIuBnWpMcaYn/3sZ2bUqFHG5/OZBQsWmDfffNPtSDFnyZIlJi8vz/h8PlNQUGCWLFli9u/f331/R0eH+epXv2rS09NNYmKi+Zu/+Rtz/PjxHo9x+PBhc9VVV5mEhASTmZlpvvnNb5qurq6B3pQh5+WXXzbAKbebbrrJGHPytO4f/OAHJicnx/j9fnP55ZebPXv29HiMhoYGc91115nk5GSTmppqbr75ZtPS0tJjzJYtW8yll15q/H6/KSgoMPfff/9AbeKQcba5aG9vN1dccYXJysoycXFxZvTo0eaWW2455X+wNBd943TzAJjf/OY33WP66nXp5ZdfNrNmzTI+n8+MHTu2x3PIR89FRUWF+djHPmYyMjKM3+8348ePN9/+9rd7fE+NMQM3F9a7oUVERESGtEF7TI2IiIhIb6jUiIiISExQqREREZGYoFIjIiIiMUGlRkRERGKCSo2IiIjEBJUaERERiQkqNSIiIhITVGpEREQkJqjUiIiISExQqREREZGYoFIjIiIiMeH/AbI1QrRCyprzAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -362,7 +371,7 @@ { "data": { "text/plain": [ - "2.473062358336015" + "1.9613075199327705" ] }, "execution_count": 10, @@ -376,40 +385,29 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2.3600763059823255" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([2.63394669])" + "array([2.45682671])" ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -420,9 +418,9 @@ ], "source": [ "from scipy.optimize import curve_fit\n", - "cut = model.population.susceptibility==1\n", + "cut = model.agents.susceptibility==1\n", "bins = np.linspace(0, 50, 201)\n", - "age_years = (np.max(model.population.dob)-model.population.dob)/365\n", + "age_years = (np.max(model.agents.dob)-model.agents.dob)/365\n", "n1 = np.histogram(age_years, bins=bins)[0]\n", "n2 = np.histogram(age_years[cut], bins=bins)[0]\n", "n1[n1==0]=1\n", @@ -442,14 +440,14 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(0.0, 11.11696324109589)\n", + "(0.0, 11.597026082191782)\n", "11.11111111111111\n" ] } @@ -462,14 +460,14 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(0.0, 2.0301213324953635)\n" + "(0.0, 1.9509949225880658)\n" ] } ], @@ -479,49 +477,263 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5473650a12964c43bd1669ada7a53100", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "11.11111111111111" + "0it [00:00, ?it/s]" ] }, - "execution_count": 60, "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ + "output_type": "display_data" + }, { "name": "stdout", "output_type": "stream", "text": [ - "2024-12-13 16:09:57.349269: Creating the generic model…\n", - "Initializing the generic model with 1 patches…\n" + "2025-02-03 19:17:06.596804: Creating the generic model…\n", + "Initializing the generic model with 1 patches…\n", + "2025-02-03 19:17:06.611137: Running the generic model for 18250 ticks…\n" ] }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0439bd25102f4b858bc00624bd26460a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/18250 [00:00 38\u001b[0m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 40\u001b[0m cut \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mpopulation\u001b[38;5;241m.\u001b[39mdoi \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m10000\u001b[39m \n\u001b[1;32m 41\u001b[0m idata \u001b[38;5;241m=\u001b[39m (model\u001b[38;5;241m.\u001b[39mpopulation\u001b[38;5;241m.\u001b[39mdoi[cut] \u001b[38;5;241m-\u001b[39m model\u001b[38;5;241m.\u001b[39mpopulation\u001b[38;5;241m.\u001b[39mdob[cut])\n", - "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/model.py:263\u001b[0m, in \u001b[0;36mModel.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m phase \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mphases:\n\u001b[1;32m 262\u001b[0m tstart \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[0;32m--> 263\u001b[0m \u001b[43mphase\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtick\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 264\u001b[0m tfinish \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[1;32m 265\u001b[0m delta \u001b[38;5;241m=\u001b[39m tfinish \u001b[38;5;241m-\u001b[39m tstart\n", - "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/infection.py:79\u001b[0m, in \u001b[0;36mInfection.__call__\u001b[0;34m(self, model, tick)\u001b[0m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, model, tick) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 66\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 67\u001b[0m \u001b[38;5;124;03m Updates the infection timers for the population in the model.\u001b[39;00m\n\u001b[1;32m 68\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;124;03m None\u001b[39;00m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 79\u001b[0m \u001b[43mInfection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnb_infection_update\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpopulation\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcount\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpopulation\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitimer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n", + "Cell \u001b[0;32mIn[14], line 39\u001b[0m\n\u001b[1;32m 37\u001b[0m set_initial_susceptibility_randomly(model, \u001b[38;5;241m1\u001b[39m\u001b[38;5;241m/\u001b[39mrow[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mR0\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m.05\u001b[39m)\n\u001b[1;32m 38\u001b[0m seed_infections_randomly(model, ninfections\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m---> 39\u001b[0m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 41\u001b[0m cut \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39magents\u001b[38;5;241m.\u001b[39mdoi \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m10000\u001b[39m \n\u001b[1;32m 42\u001b[0m age_inf \u001b[38;5;241m=\u001b[39m (model\u001b[38;5;241m.\u001b[39magents\u001b[38;5;241m.\u001b[39mdoi[cut] \u001b[38;5;241m-\u001b[39m model\u001b[38;5;241m.\u001b[39magents\u001b[38;5;241m.\u001b[39mdob[cut])\n", + "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/model.py:275\u001b[0m, in \u001b[0;36mModel.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 273\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m phase \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mphases:\n\u001b[1;32m 274\u001b[0m tstart \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[0;32m--> 275\u001b[0m \u001b[43mphase\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtick\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 276\u001b[0m tfinish \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow(tz\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m# noqa: DTZ005\u001b[39;00m\n\u001b[1;32m 277\u001b[0m delta \u001b[38;5;241m=\u001b[39m tfinish \u001b[38;5;241m-\u001b[39m tstart\n", + "File \u001b[0;32m/workspaces/laser-generic/src/laser_generic/infection.py:96\u001b[0m, in \u001b[0;36mInfection.__call__\u001b[0;34m(self, model, tick)\u001b[0m\n\u001b[1;32m 82\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, model, tick) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 83\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 84\u001b[0m \u001b[38;5;124;03m Updates the infection timers for the agents in the model.\u001b[39;00m\n\u001b[1;32m 85\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 93\u001b[0m \u001b[38;5;124;03m None\u001b[39;00m\n\u001b[1;32m 94\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 96\u001b[0m \u001b[43mInfection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnb_infection_update\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43magents\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcount\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43magents\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitimer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n", "\u001b[0;31mKeyboardInterrupt\u001b[0m: " ] } @@ -554,7 +766,7 @@ "output[\"Average_age_expected\"] = np.nan\n", "output[\"Average_age_expected\"] = np.nan\n", "output[\"Idata_KStest\"] = np.nan\n", - "for index, row in output.iterrows():\n", + "for index, row in tqdm(output.iterrows()):\n", " mu = ((1+model.params.cbr/1000)**(1/365)-1)\n", " parameters = PropertySet({\n", " \"seed\": 2, \n", @@ -577,8 +789,8 @@ " seed_infections_randomly(model, ninfections=1)\n", " model.run()\n", " \n", - " cut = model.population.doi > 10000 \n", - " age_inf = (model.population.doi[cut] - model.population.dob[cut])\n", + " cut = model.agents.doi > 10000 \n", + " age_inf = (model.agents.doi[cut] - model.agents.dob[cut])\n", " params = expon.fit(age_inf)\n", " output.loc[index, 'Average_Iage_expected'] = 1/(row['R0']*mu) / 365\n", " output.loc[index, 'Average_Iage_observed'] = params[1] / 365\n", @@ -586,7 +798,7 @@ " output.loc[index, 'Idata_KStest_exp'] = kstest(age_inf, expon.cdf(output.loc[index, 'Average_Iage_expected']))[0]\n", "\n", "\n", - " age_total = parameters.nticks-model.population.dob\n", + " age_total = parameters.nticks-model.agents.dob\n", " params = expon.fit(age_total)\n", " output.loc[index, 'Average_age_expected'] = 1000/model.params.cbr\n", " output.loc[index, 'Average_age_observed'] = params[1] / 365\n", @@ -609,7 +821,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -623,7 +835,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/notebooks/SIS_nobirths_logistic_growth.ipynb b/notebooks/SIS_nobirths_logistic_growth.ipynb index afb8b5d..b17923a 100644 --- a/notebooks/SIS_nobirths_logistic_growth.ipynb +++ b/notebooks/SIS_nobirths_logistic_growth.ipynb @@ -43,13 +43,6 @@ "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n" - ] - }, { "data": { "text/plain": [ @@ -74,6 +67,8 @@ "import matplotlib.pyplot as plt\n", "from scipy.optimize import minimize\n", "\n", + "from tqdm.notebook import tqdm #, trange\n", + "\n", "\n", "f\"{np.__version__=}\"" ] @@ -94,7 +89,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2025-01-10 22:46:31.478243: Creating the generic model…\n", + "2025-02-03 19:02:50.480102: Creating the generic model…\n", "Initializing the generic model with 1 patches…\n" ] } @@ -121,29 +116,36 @@ "name": "stdout", "output_type": "stream", "text": [ - "2025-01-10 22:46:34.209775: Running the generic model for 3000 ticks…\n" + "2025-02-03 19:02:50.497520: Running the generic model for 3000 ticks…\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 3000/3000 [00:02<00:00, 1149.86it/s]\n" + "100%|██████████| 3000/3000 [00:09<00:00, 332.32it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Completed the generic model at 2025-01-10 22:46:36.842110…\n", - "Susceptibility_census: 139,336 µs\n", - "Transmission_census : 201,478 µs\n", - "Model : 11,406 µs\n", - "Infection_SIS : 966,346 µs\n", - "Susceptibility : 4,914 µs\n", - "Transmission : 3,724,100 µs\n", + "Completed the generic model at 2025-02-03 19:02:59.530959…\n", + "Susceptibility_census: 225,818 µs\n", + "Transmission_census : 412,048 µs\n", + "Model : 24,178 µs\n", + "Infection_SIS : 2,470,278 µs\n", + "Susceptibility : 5,412 µs\n", + "Transmission : 14,621,112 µs\n", "=======================================\n", - "Total: 5,047,580 microseconds\n" + "Total: 17,758,846 microseconds\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" ] } ], @@ -176,7 +178,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", "text/plain": [ "
" ] @@ -296,7 +298,6 @@ " cases = [model.patches.cases[i][0] for i in range(nticks)]\n", " popt, pcov = curve_fit(SIS_logistic, t, cases, p0=[np.mean(betarange), pop, np.mean(gammarange), 1], bounds = ([betarange[0]/2, pop-1, gammarange[0]/2, -300], [betarange[1]*2, pop+1, gammarange[1]*2, 300]))\n", "\n", - "\n", " output = pd.concat(\n", " [\n", " output,\n", @@ -334,7 +335,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -344,7 +345,7 @@ }, { "data": { - "image/png": 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hh1RZWenfZs6caetYAQBA5xBiWZZl5wnS09N19dVX6+mnn5YkNTU1KSkpSTNnztTcuXOblZ8wYYKOHDmiNWvW+PcNHz5cKSkpKioqCnqOjz76SGlpafrnP/+pXr16SfrmCtSsWbM0a9asVvWzvr5e9fX1/te1tbVKSkpSTU2NnE5na4cLAADOotraWkVFRdm+ftt6BaqhoUFlZWXKyMj49wlDQ5WRkSGPxxO0jsfjCSgvSZmZmS2Wl6SamhqFhIQoOjo6YP+CBQvUo0cPXXXVVXrkkUd0/PjxFtsoLCxUVFSUf0tKSmrFCAEAQGcUbmfjhw4d0okTJxQfHx+wPz4+XhUVFUHreL3eoOW9Xm/Q8seOHdM999yjSZMmBSTNO+64Q0OHDlVMTIw2btyogoICVVZW6vHHHw/aTkFBgfLz8/2vT16BAgAA+C5bA5TdGhsb9fOf/1yWZenZZ58NOPbtMDR48GBFRETotttuU2FhoRwOR7O2HA5H0P0AAADfZetHeD179lRYWJh8Pl/Afp/PJ5fLFbSOy+VqVfmT4emf//ynSkpKTvs5Z3p6uo4fP64vv/zSfCAAAADfYmuAioiIUGpqqkpLS/37mpqaVFpaKrfbHbSO2+0OKC9JJSUlAeVPhqfPPvtMb7/9tnr06HHavmzdulWhoaGKi4s7w9EAAAB8w/aP8PLz8zV58mQNGzZMaWlpWrRokY4cOaKpU6dKkm699VZdfPHFKiwslCTdeeedGjlypB577DHdeOONWrFihT7++GM999xzkr4JTzfddJPKy8u1Zs0anThxwn9/VExMjCIiIuTxeLRp0yaNGjVKF154oTwej2bPnq2bb75ZF110kd1DBgAAHZztAWrChAk6ePCg7r//fnm9XqWkpKi4uNh/o/ju3bsVGvrvC2EjRozQ8uXLNW/ePN177726/PLLtXr1al155ZWSpH379ukvf/mLJCklJSXgXOvXr9c111wjh8OhFStW6IEHHlB9fb369Omj2bNnB9wXBQAAcKZsfw7U+aq9niMBAADaTod4DhQAAEBHRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwRIACAAAwFH62OwAAAPBtJ5osbd5VpQNfH1PchZFK6xOjsNCQs92tAAQoAABwzijeVqkH3/hUlTXH/Puiu3bR1B8mK2/05edMkAqxLMs62504F9XW1ioqKko1NTVyOp1nuzsA0KGc7grD2b4CcbbP31kVb6vU7S+Xq6VgEt2tixaMH6SsKxNabKO91m+uQAFAG2HRbZ1gVxgSoiI1/ycDlXVlwmmPn+3+wR4nmiw9+ManLYYnSao+2qjbXy7XszcPPet/F1yBagFXoAB7dNSQwaLbOi1dYTj5Dpj+H3303Lu7Wjxu98J5uv6dCwt3R+X54rAmPf9hq8omREXq/XtGB/3ZwRWoc8SJJkueLw53uB/2HUVbLcYddVE/13TUkNHSouutOXbO/N/yueBUVxgsfRNSnn+veXj69vEH3/hU1w502fLvszX9s/P8nd2Br4+dvtD/V1lzTJt3Vcl9aQ8be3RqBKjTuG7hOzpYH+Z/3RF+2HcUbbUYd9RF/VzTUUMGi27rbd5VFfDv7LssSaf6TMSSvQtna/p3LizcHVXchZFG5U0Clx3a5TlQixcvVnJysiIjI5Wenq7NmzefsvyqVavUv39/RUZGatCgQXrzzTcDjluWpfvvv18JCQnq2rWrMjIy9NlnnwWUqaqqUk5OjpxOp6Kjo5Wbm6u6ujrjvvtq6wNen/xhX7yt0rgttJ2Ti/F3f9iZ/v20VTs4tdOFDOmbkHGi6fy7o8Bk0e3s2mrBs2vhbG27Z3vh7qjS+sQoIar1Ico0cLU12wPUypUrlZ+fr/nz56u8vFxDhgxRZmamDhw4ELT8xo0bNWnSJOXm5mrLli0aN26cxo0bp23btvnL/P73v9eTTz6poqIibdq0SRdccIEyMzN17Ni/39Q5OTnavn27SkpKtGbNGr377ruaPn369x7P+f7DviNoq8W4Iy/q55qOHDJYdFuvrRY8uxbO1rZ7thfujiosNETzfzLwtOVC9M2nBGl9Yuzv1CnYHqAef/xxTZs2TVOnTtXAgQNVVFSkbt26aenSpUHLP/HEE8rKytLdd9+tAQMG6Le//a2GDh2qp59+WtI3V58WLVqkefPmaezYsRo8eLCWLVum/fv3a/Xq1ZKkHTt2qLi4WC+88ILS09P1ox/9SE899ZRWrFih/fv3Bz1vfX29amtrA7aWnM8/7DuCtlqMO/Kifq7pyCGDRbf1Tl5haOmDzBBJp/qU0+6FszX9OxcW7o4s68oEFd08VNHdugQ9fvLvZv5PBp71j8RtDVANDQ0qKytTRkbGv08YGqqMjAx5PJ6gdTweT0B5ScrMzPSX37Vrl7xeb0CZqKgopaen+8t4PB5FR0dr2LBh/jIZGRkKDQ3Vpk2bgp63sLBQUVFR/i0pKem04zsff9h3BG21GHfkRf1c05FDBotu6337CsN35+vk62k/7qOQUxy3c+FsTf/OhYW7o8u6MkFl867V7IwfKLprYJByRUWeM/dL2hqgDh06pBMnTig+Pj5gf3x8vLxeb9A6Xq/3lOVP/vd0ZeLi4gKOh4eHKyYmpsXzFhQUqKamxr/t2bPntOM7H3/YdwRttRh35EX9XNORQwaLrpmsKxP07M1D5frOvS4nF8aCGwae8rjdC+fp+ncuLNydQVhoiO7MuFxl912rP00bricmpuhP04br/XtGnzN/B3wL7/9zOBxyOBytKhuib/4xnY8/7DuCk4uxt+ZY0PuXWvv301bt4PROhozbXy5XiBQw3x0hZJxcdL/7bU4X3+YMKuvKBF070NXio0NOd/xs9w/tJyw05Jz9xqOtAapnz54KCwuTz+cL2O/z+eRyuYLWcblcpyx/8r8+n08JCQkBZVJSUvxlvnuT+vHjx1VVVdXieVvC/1Gee9pqMe7oi/q5pqOHDBZdM6dbGM/2wnm2z49zn60f4UVERCg1NVWlpaX+fU1NTSotLZXb7Q5ax+12B5SXpJKSEn/5Pn36yOVyBZSpra3Vpk2b/GXcbreqq6tVVlbmL7Nu3To1NTUpPT3daAxxzsCrUlzGPTe01WV2Lte3r6wrE/T+PaPP2Uvy39fJRXdsysVyX9qD8AR0YLb/KpeVK1dq8uTJ+sMf/qC0tDQtWrRIr776qioqKhQfH69bb71VF198sQoLCyV98xiDkSNHasGCBbrxxhu1YsUK/e53v1N5ebmuvPJKSdLDDz+sBQsW6KWXXlKfPn1033336ZNPPtGnn36qyMhvFsLrr79ePp9PRUVFamxs1NSpUzVs2DAtX768Vf0++Sj4qq+qVXH4OP9HeY7iSeQAgG/rML/KZcKECTp48KDuv/9+eb1epaSkqLi42H8T+O7duxUa+u8LYSNGjNDy5cs1b9483Xvvvbr88su1evVqf3iSpF//+tc6cuSIpk+frurqav3oRz9ScXGxPzxJ0iuvvKK8vDyNGTNGoaGhys7O1pNPPmncfy7jntva6u+Hv2cAgAl+mXAL+GXCAACcf9pr/W6XX+UCAADQkRCgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADBGgAAAADNkaoKqqqpSTkyOn06no6Gjl5uaqrq7ulHWOHTumGTNmqEePHurevbuys7Pl8/n8x//2t79p0qRJSkpKUteuXTVgwAA98cQTAW1s2LBBISEhzTav12vLOAEAQOcSbmfjOTk5qqysVElJiRobGzV16lRNnz5dy5cvb7HO7NmztXbtWq1atUpRUVHKy8vT+PHj9cEHH0iSysrKFBcXp5dffllJSUnauHGjpk+frrCwMOXl5QW0tXPnTjmdTv/ruLg4ewYKAAA6lRDLsiw7Gt6xY4cGDhyojz76SMOGDZMkFRcX64YbbtDevXuVmJjYrE5NTY1iY2O1fPly3XTTTZKkiooKDRgwQB6PR8OHDw96rhkzZmjHjh1at26dpG+uQI0aNUpfffWVoqOjz6j/tbW1ioqKUk1NTUAIAwAA5672Wr9t+wjP4/EoOjraH54kKSMjQ6Ghodq0aVPQOmVlZWpsbFRGRoZ/X//+/dWrVy95PJ4Wz1VTU6OYmJhm+1NSUpSQkKBrr73WfwWrJfX19aqtrQ3YAAAAgrEtQHm93mYfmYWHhysmJqbFe5G8Xq8iIiKaXTWKj49vsc7GjRu1cuVKTZ8+3b8vISFBRUVFeu211/Taa68pKSlJ11xzjcrLy1vsb2FhoaKiovxbUlJSK0cKAAA6G+MANXfu3KA3aH97q6iosKOvzWzbtk1jx47V/Pnzdd111/n39+vXT7fddptSU1M1YsQILV26VCNGjNDChQtbbKugoEA1NTX+bc+ePe0xBAAAcB4yvol8zpw5mjJlyinL9O3bVy6XSwcOHAjYf/z4cVVVVcnlcgWt53K51NDQoOrq6oCrUD6fr1mdTz/9VGPGjNH06dM1b9680/Y7LS1N77//fovHHQ6HHA7HadsBAAAwDlCxsbGKjY09bTm3263q6mqVlZUpNTVVkrRu3To1NTUpPT09aJ3U1FR16dJFpaWlys7OlvTNN+l2794tt9vtL7d9+3aNHj1akydP1n//93+3qt9bt25VQkJCq8oCAACcim2PMRgwYICysrI0bdo0FRUVqbGxUXl5eZo4caL/G3j79u3TmDFjtGzZMqWlpSkqKkq5ubnKz89XTEyMnE6nZs6cKbfb7f8G3rZt2zR69GhlZmYqPz/ff29UWFiYP9gtWrRIffr00RVXXKFjx47phRde0Lp16/TWW2/ZNVwAANCJ2PocqFdeeUV5eXkaM2aMQkNDlZ2drSeffNJ/vLGxUTt37tTRo0f9+xYuXOgvW19fr8zMTD3zzDP+4//zP/+jgwcP6uWXX9bLL7/s39+7d299+eWXkqSGhgbNmTNH+/btU7du3TR48GC9/fbbGjVqlJ3DBQAAnYRtz4E63/EcKAAAzj/n/XOgAAAAOioCFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCECFAAAgCFbA1RVVZVycnLkdDoVHR2t3Nxc1dXVnbLOsWPHNGPGDPXo0UPdu3dXdna2fD5fQJmQkJBm24oVKwLKbNiwQUOHDpXD4dBll12mP/7xj209PAAA0EnZGqBycnK0fft2lZSUaM2aNXr33Xc1ffr0U9aZPXu23njjDa1atUrvvPOO9u/fr/Hjxzcr9+KLL6qystK/jRs3zn9s165duvHGGzVq1Cht3bpVs2bN0i9/+Uv99a9/beshAgCATijEsizLjoZ37NihgQMH6qOPPtKwYcMkScXFxbrhhhu0d+9eJSYmNqtTU1Oj2NhYLV++XDfddJMkqaKiQgMGDJDH49Hw4cO/6XRIiP73f/83IDR92z333KO1a9dq27Zt/n0TJ05UdXW1iouLW9X/2tpaRUVFqaamRk6n02ToAADgLGmv9du2K1Aej0fR0dH+8CRJGRkZCg0N1aZNm4LWKSsrU2NjozIyMvz7+vfvr169esnj8QSUnTFjhnr27Km0tDQtXbpU386BHo8noA1JyszMbNbGt9XX16u2tjZgAwAACCbcroa9Xq/i4uICTxYerpiYGHm93hbrREREKDo6OmB/fHx8QJ2HHnpIo0ePVrdu3fTWW2/pv/7rv1RXV6c77rjD3058fHyzNmpra/Wvf/1LXbt2bXbuwsJCPfjgg2cyVAAA0MkYX4GaO3du0Ju4v71VVFTY0Ve/++67Tz/84Q911VVX6Z577tGvf/1rPfLII9+rzYKCAtXU1Pi3PXv2tFFvAQBAR2N8BWrOnDmaMmXKKcv07dtXLpdLBw4cCNh//PhxVVVVyeVyBa3ncrnU0NCg6urqgKtQPp+vxTqSlJ6ert/+9reqr6+Xw+GQy+Vq9s09n88np9MZ9OqTJDkcDjkcjlOOCwAAQDqDABUbG6vY2NjTlnO73aqurlZZWZlSU1MlSevWrVNTU5PS09OD1klNTVWXLl1UWlqq7OxsSdLOnTu1e/duud3uFs+1detWXXTRRf4A5Ha79eabbwaUKSkpOWUbAAAArWXbPVADBgxQVlaWpk2bpqKiIjU2NiovL08TJ070fwNv3759GjNmjJYtW6a0tDRFRUUpNzdX+fn5iomJkdPp1MyZM+V2u/3fwHvjjTfk8/k0fPhwRUZGqqSkRL/73e901113+c/9q1/9Sk8//bR+/etf6z//8z+1bt06vfrqq1q7dq1dwwUAAJ2IbQFKkl555RXl5eVpzJgxCg0NVXZ2tp588kn/8cbGRu3cuVNHjx7171u4cKG/bH19vTIzM/XMM8/4j3fp0kWLFy/W7NmzZVmWLrvsMj3++OOaNm2av0yfPn20du1azZ49W0888YQuueQSvfDCC8rMzLRzuAAAoJOw7TlQ5zueAwUAwPnnvH8OFAAAQEdFgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBEgAIAADBka4CqqqpSTk6OnE6noqOjlZubq7q6ulPWOXbsmGbMmKEePXqoe/fuys7Ols/n8x//4x//qJCQkKDbgQMHJEkbNmwIetzr9do5XAAA0EnYGqBycnK0fft2lZSUaM2aNXr33Xc1ffr0U9aZPXu23njjDa1atUrvvPOO9u/fr/Hjx/uPT5gwQZWVlQFbZmamRo4cqbi4uIC2du7cGVDuu8cBAADORLhdDe/YsUPFxcX66KOPNGzYMEnSU089pRtuuEGPPvqoEhMTm9WpqanRkiVLtHz5co0ePVqS9OKLL2rAgAH68MMPNXz4cHXt2lVdu3b11zl48KDWrVunJUuWNGsvLi5O0dHR9gwQAAB0WrZdgfJ4PIqOjvaHJ0nKyMhQaGioNm3aFLROWVmZGhsblZGR4d/Xv39/9erVSx6PJ2idZcuWqVu3brrpppuaHUtJSVFCQoKuvfZaffDBB6fsb319vWprawM2AACAYGwLUF6vt9lHZuHh4YqJiWnxXiSv16uIiIhmV43i4+NbrLNkyRL94he/CLgqlZCQoKKiIr322mt67bXXlJSUpGuuuUbl5eUt9rewsFBRUVH+LSkpqZUjBQAAnY1xgJo7d26LN3Gf3CoqKuzoazMej0c7duxQbm5uwP5+/frptttuU2pqqkaMGKGlS5dqxIgRWrhwYYttFRQUqKamxr/t2bPH7u4DAIDzlPE9UHPmzNGUKVNOWaZv375yuVz+b8WddPz4cVVVVcnlcgWt53K51NDQoOrq6oCrUD6fL2idF154QSkpKUpNTT1tv9PS0vT++++3eNzhcMjhcJy2HQAAAOMAFRsbq9jY2NOWc7vdqq6uVllZmT/grFu3Tk1NTUpPTw9aJzU1VV26dFFpaamys7MlffNNut27d8vtdgeUraur06uvvqrCwsJW9Xvr1q1KSEhoVVkAAIBTse1beAMGDFBWVpamTZumoqIiNTY2Ki8vTxMnTvR/A2/fvn0aM2aMli1bprS0NEVFRSk3N1f5+fmKiYmR0+nUzJkz5Xa7NXz48ID2V65cqePHj+vmm29udu5FixapT58+uuKKK3Ts2DG98MILWrdund566y27hgsAADoR2wKUJL3yyivKy8vTmDFjFBoaquzsbD355JP+442Njdq5c6eOHj3q37dw4UJ/2fr6emVmZuqZZ55p1vaSJUs0fvz4oI8paGho0Jw5c7Rv3z5169ZNgwcP1ttvv61Ro0bZMk4AANC5hFiWZZ3tTpyLamtrFRUVpZqaGjmdzrPdHQAA0ArttX7zu/AAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAMEaAAAAAM2RagqqqqlJOTI6fTqejoaOXm5qquru6UdZ577jldc801cjqdCgkJUXV19Rm1+8knn+jHP/6xIiMjlZSUpN///vdtOTQAANDJ2RagcnJytH37dpWUlGjNmjV69913NX369FPWOXr0qLKysnTvvfeecbu1tbW67rrr1Lt3b5WVlemRRx7RAw88oOeee67NxgYAADq3EMuyrLZudMeOHRo4cKA++ugjDRs2TJJUXFysG264QXv37lViYuIp62/YsEGjRo3SV199pejoaKN2n332Wf3mN7+R1+tVRESEJGnu3LlavXq1KioqWjxnfX296uvr/a9ramrUq1cv7dmzR06n80ynAgAAtKPa2lolJSWpurpaUVFR9p3IssGSJUus6OjogH2NjY1WWFiY9frrr5+2/vr16y1J1ldffWXc7i233GKNHTs2oMy6dessSVZVVVWL55w/f74liY2NjY2Nja0DbF988cVp88b3ES4beL1excXFBewLDw9XTEyMvF6vre16vV716dMnoEx8fLz/2EUXXRS07YKCAuXn5/tfV1dXq3fv3tq9e7e9CfY8dDLdc3WuOeYmOOalZcxNy5ibljE3LTv5CVJMTIyt5zEKUHPnztXDDz98yjI7duz4Xh06WxwOhxwOR7P9UVFRvDlb4HQ6mZsWMDfBMS8tY25axty0jLlpWWiovQ8aMApQc+bM0ZQpU05Zpm/fvnK5XDpw4EDA/uPHj6uqqkoul8u4kye1pl2XyyWfzxdQ5uTr73NuAACAk4wCVGxsrGJjY09bzu12q7q6WmVlZUpNTZUkrVu3Tk1NTUpPTz+znrayXbfbrd/85jdqbGxUly5dJEklJSXq169fix/fAQAAmLDl+taAAQOUlZWladOmafPmzfrggw+Ul5eniRMn+r+Bt2/fPvXv31+bN2/21/N6vdq6das+//xzSdLf//53bd26VVVVVa1u9xe/+IUiIiKUm5ur7du3a+XKlXriiScC7m9qDYfDofnz5wf9WK+zY25axtwEx7y0jLlpGXPTMuamZe02N3bdnX748GFr0qRJVvfu3S2n02lNnTrV+vrrr/3Hd+3aZUmy1q9f79/X0jfhXnzxxVa3a1mW9be//c360Y9+ZDkcDuviiy+2FixYYNcwAQBAJ2TLc6AAAAA6Mn4XHgAAgCECFAAAgCECFAAAgCECFAAAgKFOE6AWL16s5ORkRUZGKj09PeDxCcGsWrVK/fv3V2RkpAYNGqQ333wz4PgDDzyg/v3764ILLtBFF12kjIwMbdq0yc4h2Kat5+bbfvWrXykkJESLFi1q4163j7aemylTpigkJCRgy8rKsnMItrHjfbNjxw799Kc/VVRUlC644AJdffXV2r17t11DsE1bz8133zMnt0ceecTOYdiireemrq5OeXl5uuSSS9S1a1cNHDhQRUVFdg7BFm09Lz6fT1OmTFFiYqK6deumrKwsffbZZ3YOwTYmc7N9+3ZlZ2crOTn5lGuP6XwHdba/BtgeVqxYYUVERFhLly61tm/fbk2bNs2Kjo62fD5f0PIffPCBFRYWZv3+97+3Pv30U2vevHlWly5drL///e/+Mq+88opVUlJiffHFF9a2bdus3Nxcy+l0WgcOHGivYbUJO+bmpNdff90aMmSIlZiYaC1cuNDmkbQ9O+Zm8uTJVlZWllVZWenfTvVLrs9VdszN559/bsXExFh33323VV5ebn3++efWn//85xbbPFfZMTfffr9UVlZaS5cutUJCQmz/ZaltzY65mTZtmnXppZda69evt3bt2mX94Q9/sMLCwqw///nP7TWs762t56WpqckaPny49eMf/9javHmzVVFRYU2fPt3q1auXVVdX155D+95M52bz5s3WXXfdZf3pT3+yXC5X0LXHtM2WdIoAlZaWZs2YMcP/+sSJE1ZiYqJVWFgYtPzPf/5z68YbbwzYl56ebt12220tnqOmpsaSZL399ttt0+l2Ytfc7N2717r44outbdu2Wb179z4vA5QdczN58mRr7NixtvS3PdkxNxMmTLBuvvlmezrcjtrj583YsWOt0aNHt02H25Edc3PFFVdYDz30UECZoUOHWr/5zW/asOf2aut52blzpyXJ2rZtW0CbsbGx1vPPP2/DCOxjOjff1tLa833a/LYO/xFeQ0ODysrKlJGR4d8XGhqqjIwMeTyeoHU8Hk9AeUnKzMxssXxDQ4Oee+45RUVFaciQIW3XeZvZNTdNTU265ZZbdPfdd+uKK66wp/M2s/N9s2HDBsXFxalfv366/fbbdfjw4bYfgI3smJumpiatXbtWP/jBD5SZmam4uDilp6dr9erVto3DDu3x88bn82nt2rXKzc1tu463A7vmZsSIEfrLX/6iffv2ybIsrV+/Xv/4xz903XXX2TOQNmbHvNTX10uSIiMjA9p0OBx6//3323oItjmTuWnPNjt8gDp06JBOnDih+Pj4gP3x8fHyer1B63i93laVX7Nmjbp3767IyEgtXLhQJSUl6tmzZ9sOwEZ2zc3DDz+s8PBw3XHHHW3f6XZi19xkZWVp2bJlKi0t1cMPP6x33nlH119/vU6cONH2g7CJHXNz4MAB1dXVacGCBcrKytJbb72ln/3sZxo/frzeeecdewZiAzt/3pz00ksv6cILL9T48ePbptPtxK65eeqppzRw4EBdcsklioiIUFZWlhYvXqz/+I//aPtB2MCOeenfv7969eqlgoICffXVV2poaNDDDz+svXv3qrKy0p6B2OBM5qY92zT6ZcIINGrUKG3dulWHDh3S888/r5///OfatGmT4uLiznbXzpqysjI98cQTKi8vV0hIyNnuzjln4sSJ/j8PGjRIgwcP1qWXXqoNGzZozJgxZ7FnZ1dTU5MkaezYsZo9e7YkKSUlRRs3blRRUZFGjhx5Nrt3Tlm6dKlycnICri50Zk899ZQ+/PBD/eUvf1Hv3r317rvvasaMGUpMTGx2laaz6NKli15//XXl5uYqJiZGYWFhysjI0PXXXy+LXz7SZjr8FaiePXsqLCxMPp8vYL/P55PL5Qpax+Vytar8BRdcoMsuu0zDhw/XkiVLFB4eriVLlrTtAGxkx9y89957OnDggHr16qXw8HCFh4frn//8p+bMmaPk5GRbxmEHO98339a3b1/17NnT/wu0zwd2zE3Pnj0VHh6ugQMHBpQZMGDAefUtPLvfN++995527typX/7yl23X6XZix9z861//0r333qvHH39cP/nJTzR48GDl5eVpwoQJevTRR+0ZSBuz6z2TmpqqrVu3qrq6WpWVlSouLtbhw4fVt2/fth+ETc5kbtqzzQ4foCIiIpSamqrS0lL/vqamJpWWlsrtdget43a7A8pLUklJSYvlv93uyc+ezwd2zM0tt9yiTz75RFu3bvVviYmJuvvuu/XXv/7VvsG0sfZ63+zdu1eHDx9WQkJC23S8HdgxNxEREbr66qu1c+fOgDL/+Mc/1Lt37zYegX3sft8sWbJEqamp59W9lifZMTeNjY1qbGxUaGjgUhYWFua/qnmus/s9ExUVpdjYWH322Wf6+OOPNXbs2LYdgI3OZG7atU2jW87PUytWrLAcDof1xz/+0fr000+t6dOnW9HR0ZbX67Usy7JuueUWa+7cuf7yH3zwgRUeHm49+uij1o4dO6z58+cHfEW0rq7OKigosDwej/Xll19aH3/8sTV16lTL4XAEfOvhfNDWcxPM+fotvLaem6+//tq66667LI/HY+3atct6++23raFDh1qXX365dezYsbMyxjNlx/vm9ddft7p06WI999xz1meffWY99dRTVlhYmPXee++1+/i+D7v+TdXU1FjdunWznn322XYdT1uyY25GjhxpXXHFFdb69eut//u//7NefPFFKzIy0nrmmWfafXxnyo55efXVV63169dbX3zxhbV69Wqrd+/e1vjx49t9bN+X6dzU19dbW7ZssbZs2WIlJCRYd911l7Vlyxbrs88+a3WbrdUpApRlWdZTTz1l9erVy4qIiLDS0tKsDz/80H9s5MiR1uTJkwPKv/rqq9YPfvADKyIiwrriiiustWvX+o/961//sn72s59ZiYmJVkREhJWQkGD99Kc/tTZv3txew2lTbTk3wZyvAcqy2nZujh49al133XVWbGys1aVLF6t3797WtGnTjP/RnivseN8sWbLEuuyyy6zIyEhryJAh1urVq+0ehi3smJs//OEPVteuXa3q6mq7u2+rtp6byspKa8qUKVZiYqIVGRlp9evXz3rsscespqam9hhOm2nreXniiSesSy65xOrSpYvVq1cva968eVZ9fX17DKXNmczNrl27LEnNtpEjR7a6zdYKsSzuKAMAADDR4e+BAgAAaGsEKAAAAEMEKAAAAEMEKAAAAEMEKAAAAEMEKAAAAEMEKAAAAEMEKAAAAEMEKAAAAEMEKAAAAEMEKAAAAEP/D4B/HQl5sjIHAAAAAElFTkSuQmCC", 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", 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", 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", 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", 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", 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" ] @@ -394,7 +395,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -413,7 +414,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -452,100 +453,100 @@ " 0\n", " 0.068306\n", " 0.007965\n", - " [3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 7, ...\n", - " 0.066738\n", - " 0.007514\n", - " -22.212457\n", + " [3, 3, 3, 3, 3, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, ...\n", + " 0.067185\n", + " 0.007573\n", + " -7.245251\n", " \n", " \n", " 1\n", " 1\n", " 0.098088\n", " 0.017945\n", - " [2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 6, 8, ...\n", - " 0.094952\n", - " 0.016519\n", - " -7.997549\n", + " [2, 2, 2, 2, 2, 3, 3, 2, 2, 2, 2, 2, 2, 3, 3, ...\n", + " 0.095498\n", + " 0.016625\n", + " 18.766148\n", " \n", " \n", " 2\n", " 2\n", " 0.080037\n", " 0.019751\n", - " [3, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 6, 7, ...\n", - " 0.077889\n", - " 0.018454\n", - " -11.504112\n", + " [3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, ...\n", + " 0.078428\n", + " 0.018589\n", + " 27.601018\n", " \n", " \n", " 3\n", " 3\n", " 0.078841\n", " 0.007458\n", - " [3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 7, 9, ...\n", - " 0.077095\n", - " 0.007004\n", - " -13.694868\n", + " [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ...\n", + " 0.077274\n", + " 0.007019\n", + " -6.055962\n", " \n", " \n", " 4\n", " 4\n", " 0.045126\n", " 0.013960\n", - " [3, 3, 3, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 8, 9, ...\n", - " 0.045039\n", - " 0.013633\n", - " -55.918405\n", + " [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 5, ...\n", + " 0.044214\n", + " 0.013362\n", + " -60.196865\n", " \n", " \n", " 5\n", " 5\n", " 0.098339\n", " 0.005135\n", - " [3, 3, 4, 7, 7, 7, 8, 8, 8, 8, 10, 11, 13, 15,...\n", - " 0.095974\n", - " 0.004768\n", - " -15.689119\n", + " [3, 3, 3, 3, 3, 3, 4, 5, 5, 5, 5, 6, 7, 9, 12,...\n", + " 0.096138\n", + " 0.004772\n", + " -10.539482\n", " \n", " \n", " 6\n", " 6\n", " 0.030436\n", " 0.010799\n", - " [3, 3, 3, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 7, 7, ...\n", - " 0.030063\n", - " 0.010519\n", - " -104.989979\n", + " [3, 5, 5, 6, 6, 6, 6, 7, 8, 8, 8, 8, 9, 10, 10...\n", + " 0.030165\n", + " 0.010543\n", + " -95.557894\n", " \n", " \n", " 7\n", " 7\n", " 0.047709\n", " 0.005662\n", - " [3, 3, 4, 6, 6, 6, 7, 8, 8, 8, 8, 8, 9, 10, 10...\n", - " 0.047210\n", - " 0.005469\n", - " -35.496548\n", + " [3, 5, 5, 6, 7, 7, 7, 7, 9, 9, 9, 9, 10, 11, 1...\n", + " 0.046977\n", + " 0.005444\n", + " -59.948586\n", " \n", " \n", " 8\n", " 8\n", " 0.060435\n", " 0.019350\n", - " [3, 3, 4, 4, 4, 5, 6, 7, 7, 7, 7, 7, 8, 8, 9, ...\n", - " 0.059416\n", - " 0.018460\n", - " -32.358636\n", + " [3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, ...\n", + " 0.059037\n", + " 0.018326\n", + " -29.318056\n", " \n", " \n", " 9\n", " 9\n", " 0.084557\n", " 0.011542\n", - " [2, 2, 3, 3, 3, 4, 5, 6, 6, 6, 7, 7, 8, 8, 9, ...\n", - " 0.082545\n", - " 0.010792\n", - " -12.947558\n", + " [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, ...\n", + " 0.082286\n", + " 0.010762\n", + " 6.914072\n", " \n", " \n", "\n", @@ -553,31 +554,31 @@ ], "text/plain": [ " seed beta gamma cases \\\n", - "0 0 0.068306 0.007965 [3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 7, ... \n", - "1 1 0.098088 0.017945 [2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 6, 8, ... \n", - "2 2 0.080037 0.019751 [3, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 6, 7, ... \n", - "3 3 0.078841 0.007458 [3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 7, 9, ... \n", - "4 4 0.045126 0.013960 [3, 3, 3, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 8, 9, ... \n", - "5 5 0.098339 0.005135 [3, 3, 4, 7, 7, 7, 8, 8, 8, 8, 10, 11, 13, 15,... \n", - "6 6 0.030436 0.010799 [3, 3, 3, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 7, 7, ... \n", - "7 7 0.047709 0.005662 [3, 3, 4, 6, 6, 6, 7, 8, 8, 8, 8, 8, 9, 10, 10... \n", - "8 8 0.060435 0.019350 [3, 3, 4, 4, 4, 5, 6, 7, 7, 7, 7, 7, 8, 8, 9, ... \n", - "9 9 0.084557 0.011542 [2, 2, 3, 3, 3, 4, 5, 6, 6, 6, 7, 7, 8, 8, 9, ... \n", + "0 0 0.068306 0.007965 [3, 3, 3, 3, 3, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, ... \n", + "1 1 0.098088 0.017945 [2, 2, 2, 2, 2, 3, 3, 2, 2, 2, 2, 2, 2, 3, 3, ... \n", + "2 2 0.080037 0.019751 [3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, ... \n", + "3 3 0.078841 0.007458 [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ... \n", + "4 4 0.045126 0.013960 [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 5, ... \n", + "5 5 0.098339 0.005135 [3, 3, 3, 3, 3, 3, 4, 5, 5, 5, 5, 6, 7, 9, 12,... \n", + "6 6 0.030436 0.010799 [3, 5, 5, 6, 6, 6, 6, 7, 8, 8, 8, 8, 9, 10, 10... \n", + "7 7 0.047709 0.005662 [3, 5, 5, 6, 7, 7, 7, 7, 9, 9, 9, 9, 10, 11, 1... \n", + "8 8 0.060435 0.019350 [3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, ... \n", + "9 9 0.084557 0.011542 [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, ... \n", "\n", - " fitted_beta fitted_gamma fitted_t0 \n", - "0 0.066738 0.007514 -22.212457 \n", - "1 0.094952 0.016519 -7.997549 \n", - "2 0.077889 0.018454 -11.504112 \n", - "3 0.077095 0.007004 -13.694868 \n", - "4 0.045039 0.013633 -55.918405 \n", - "5 0.095974 0.004768 -15.689119 \n", - "6 0.030063 0.010519 -104.989979 \n", - "7 0.047210 0.005469 -35.496548 \n", - "8 0.059416 0.018460 -32.358636 \n", - "9 0.082545 0.010792 -12.947558 " + " fitted_beta fitted_gamma fitted_t0 \n", + "0 0.067185 0.007573 -7.245251 \n", + "1 0.095498 0.016625 18.766148 \n", + "2 0.078428 0.018589 27.601018 \n", + "3 0.077274 0.007019 -6.055962 \n", + "4 0.044214 0.013362 -60.196865 \n", + "5 0.096138 0.004772 -10.539482 \n", + "6 0.030165 0.010543 -95.557894 \n", + "7 0.046977 0.005444 -59.948586 \n", + "8 0.059037 0.018326 -29.318056 \n", + "9 0.082286 0.010762 6.914072 " ] }, - "execution_count": 15, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -596,7 +597,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -624,29 +625,17 @@ " seed_infections_randomly(model, ninfections=20)\n", " model.run()\n", " final_observed = np.append(final_observed, model.patches.cases[-1][0])\n", - " final_expected = np.append(final_expected, pop*(1 - gamma/beta))\n", - "\n", - "\n" + " final_expected = np.append(final_expected, pop*(1 - gamma/beta))\n" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Error in equilibrium infected fraction increases roughly linearly in $\\\\gamma \\\\Delta t$')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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" ] @@ -658,22 +647,16 @@ "source": [ "\n", "plt.plot(gammas, np.abs(1-final_observed/ final_expected), 'o')\n", - "plt.xlabel(\"$\\gamma$\")\n", - "plt.ylabel(\"$| 1 - \\\\frac{I(\\infty)_{obs}}{I(\\infty)_{exp}} |$\")\n", - "plt.title(\"Error in equilibrium infected fraction increases roughly linearly in $\\gamma \\Delta t$\")" + "plt.xlabel(r\"$\\gamma$\")\n", + "plt.ylabel(r\"$| 1 - \\frac{I(\\infty)_{obs}}{I(\\infty)_{exp}} |$\")\n", + "plt.title(r\"Error in equilibrium infected fraction increases roughly linearly in $\\gamma \\Delta t$\")\n", + "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -687,7 +670,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/notebooks/SI_nobirths_logistic_growth.ipynb b/notebooks/SI_nobirths_logistic_growth.ipynb index 96aa1db..3048d7e 100644 --- a/notebooks/SI_nobirths_logistic_growth.ipynb +++ b/notebooks/SI_nobirths_logistic_growth.ipynb @@ -54,23 +54,16 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n" - ] - }, { "data": { "text/plain": [ "\"np.__version__='1.26.4'\"" ] }, - "execution_count": 2, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -98,37 +91,37 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "2025-01-10 22:34:47.551745: Creating the generic model…\n", + "2025-02-03 18:53:49.657421: Creating the generic model…\n", "Initializing the generic model with 1 patches…\n", - "2025-01-10 22:34:47.555959: Running the generic model for 730 ticks…\n" + "2025-02-03 18:53:49.674538: Running the generic model for 730 ticks…\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 730/730 [00:00<00:00, 1025.54it/s]" + "100%|██████████| 730/730 [00:03<00:00, 214.65it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Completed the generic model at 2025-01-10 22:34:48.269306…\n", - "Susceptibility_census: 78,792 µs\n", - "Transmission_census : 111,502 µs\n", - "Model : 2,548 µs\n", - "Susceptibility : 892 µs\n", - "Transmission : 1,211,534 µs\n", + "Completed the generic model at 2025-02-03 18:53:53.078680…\n", + "Susceptibility_census: 125,120 µs\n", + "Transmission_census : 269,838 µs\n", + "Model : 5,212 µs\n", + "Susceptibility : 1,180 µs\n", + "Transmission : 6,304,842 µs\n", "=======================================\n", - "Total: 1,405,268 microseconds\n" + "Total: 6,706,192 microseconds\n" ] }, { @@ -165,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -178,7 +171,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -208,22 +201,22 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -267,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -314,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -323,13 +316,13 @@ "Text(0, 0.5, 'Relative error in fitted beta')" ] }, - "execution_count": 8, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -360,7 +353,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -385,7 +378,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -399,7 +392,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/notebooks/SI_wbirths_logistic_growth.ipynb b/notebooks/SI_wbirths_logistic_growth.ipynb index 1b6c59c..0979b25 100644 --- a/notebooks/SI_wbirths_logistic_growth.ipynb +++ b/notebooks/SI_wbirths_logistic_growth.ipynb @@ -42,13 +42,6 @@ "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n" - ] - }, { "data": { "text/plain": [ @@ -79,38 +72,38 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "2025-01-10 23:30:14.291883: Creating the generic model…\n", + "2025-02-03 18:54:23.528085: Creating the generic model…\n", "Initializing the generic model with 1 patches…\n", - "2025-01-10 23:30:14.305491: Running the generic model for 730 ticks…\n" + "2025-02-03 18:54:23.555170: Running the generic model for 730 ticks…\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 730/730 [00:00<00:00, 799.93it/s]" + "100%|██████████| 730/730 [00:04<00:00, 178.87it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Completed the generic model at 2025-01-10 23:30:15.219813…\n", - "Susceptibility_census: 80,104 µs\n", - "Transmission_census : 116,596 µs\n", - "Model : 2,774 µs\n", - "Births_ConstantPop : 136,128 µs\n", - "Susceptibility : 980 µs\n", - "Transmission : 1,467,580 µs\n", + "Completed the generic model at 2025-02-03 18:54:27.639818…\n", + "Susceptibility_census: 119,078 µs\n", + "Transmission_census : 249,930 µs\n", + "Model : 5,422 µs\n", + "Births_ConstantPop : 241,408 µs\n", + "Susceptibility : 1,362 µs\n", + "Transmission : 7,401,352 µs\n", "=======================================\n", - "Total: 1,804,162 microseconds\n" + "Total: 8,018,552 microseconds\n" ] }, { @@ -144,7 +137,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -156,7 +149,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -184,22 +177,22 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 35, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -243,7 +236,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -291,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -300,13 +293,13 @@ "(-50.0, 50.0)" ] }, - "execution_count": 53, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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aGxu1detWXbx4UR6PR4cPH9bly5eVkZFh9xkzZoySkpJUXFwsSSouLlZaWpodaCQpMzNTfr9fx48fv+l7FRQUyOVy2UtiYmJ7hw0AAAzV5lBTWlqqQYMGKTw8XIsWLdK2bduUkpIir9ersLAwRUVFBfSPi4uT1+uVJHm93oBA09ze3HYz+fn58vl89nL69Om2DhsAABiuzT9oOXr0aJWUlMjn8+ndd99VTk6OioqKumJstvDwcIWHh3fpewAAgL6tzaEmLCxMI0eOlCSNHz9ehw4d0muvvaZHH31Uly5dUl1dXcDZmurqarndbkmS2+3WwYMHA/bX/HRUcx8AAID26PA8NU1NTWpoaND48eMVGhqq3bt3223l5eWqrKyUx+ORJHk8HpWWlqqmpsbuU1hYKKfTqZSUlI4OBQAA9GNtOlOTn5+vadOmKSkpSefPn9eWLVu0d+9effTRR3K5XJo/f76WLVum6OhoOZ1OPfXUU/J4PJo0aZIkaerUqUpJSdHcuXO1du1aeb1erVy5Unl5eVxeAtBvNDZZPFYNdIE2hZqamhrNmzdPVVVVcrlcSk9P10cffaQHHnhAkvSb3/xGQUFBmjVrlhoaGpSZmak333zTfn1wcLB27Nih3NxceTweDRw4UDk5OXrxxRc7tyoA6KV2lVVp9fYTAb+aHe+K0KoZKUyAB3RQh+ep6Qld/Zw7AHSFXWVVyt10RNf/R7f5HA0z+8J0vXaeGgBA6zU2WVq9/cQNgUaSvW319hNqbOpz/58J9BqEGgDoBgcragMuOV3PklTlq9fBitruGxRgGEINAHSDmvM3DzTt6QfgRoQaAOgGsYMjbt2pDf0A3IhQAwDd4J7kaMW7InSzB7cduvoU1D3J0d05LMAohBoA6AbBQQ6tmnF1ktHrg03z+qoZKcxXA3QAoQYAuklWarzWPTFOblfgJSa3K4LHuYFO0ObffgIAtF9WarweSHEzozDQBQg1ANDNgoMc8oyI6elhAMbh8hMAADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABihTaGmoKBAd999twYPHqzY2Fg9/PDDKi8vD+hz3333yeFwBCyLFi0K6FNZWans7GxFRkYqNjZWy5cv15UrVzpeDQAA6LdC2tK5qKhIeXl5uvvuu3XlyhU999xzmjp1qk6cOKGBAwfa/RYsWKAXX3zRXo+MjLT/bmxsVHZ2ttxut/bv36+qqirNmzdPoaGhevnllzuhJAAA0B85LMuy2vvis2fPKjY2VkVFRZo8ebKkq2dq7rrrLr366qstvmbnzp168MEHdebMGcXFxUmS1q9frxUrVujs2bMKCwu74TUNDQ1qaGiw1/1+vxITE+Xz+eR0Ots7fAAA0I38fr9cLleXfX936J4an88nSYqOjg7YvnnzZg0ZMkSpqanKz8/Xd999Z7cVFxcrLS3NDjSSlJmZKb/fr+PHj7f4PgUFBXK5XPaSmJjYkWEDAAADteny07Wampq0ZMkS3XvvvUpNTbW3P/744xo+fLgSEhJ07NgxrVixQuXl5XrvvfckSV6vNyDQSLLXvV5vi++Vn5+vZcuW2evNZ2oAAACatTvU5OXlqaysTJ999lnA9oULF9p/p6WlKT4+XlOmTNGpU6c0YsSIdr1XeHi4wsPD2ztUAADQD7Tr8tPixYu1Y8cOffrppxo2bNj39p04caIk6eTJk5Ikt9ut6urqgD7N6263uz3DAQAAaFuosSxLixcv1rZt27Rnzx4lJyff8jUlJSWSpPj4eEmSx+NRaWmpampq7D6FhYVyOp1KSUlpy3AA4AaNTZaKT53TByV/UfGpc2psavezEAD6mDZdfsrLy9OWLVv0wQcfaPDgwfY9MC6XSwMGDNCpU6e0ZcsWTZ8+XTExMTp27JiWLl2qyZMnKz09XZI0depUpaSkaO7cuVq7dq28Xq9WrlypvLw8LjEB6JBdZVVavf2Eqnz19rZ4V4RWzUhRVmp8D44MQHdo0yPdDoejxe0bNmzQk08+qdOnT+uJJ55QWVmZLl68qMTERP30pz/VypUrAx7d+uabb5Sbm6u9e/dq4MCBysnJ0Zo1axQS0rqM1dWPhAHoe3aVVWnRpiM3bG/+r9a6J8YRbIAe1tXf3x2ap6anEGoAXKuxydL4XxWq7rvLLbY7JLldEfpsxf0KDmr5f84AdL1ePU8NAPQG/7Hn5E0DjSRZkqp89TpYUdt9gwLQ7Qg1APq0xiZLGz6vaFXfmvP1t+4EoM8i1ADo0w5W1Krurzc/S3Ot2MERXTwaAD2JUAOgT2vt2ZeoAaG6Jzn61h0B9FmEGgB9WmvPvvzs3r/lJmHAcIQaAH3aPcnRindF6Pviym2RoVp8/6huGxOAnkGoAdCnBQc5tGrG1dnIWwo2DkkFM9M4SwP0A4QaAH1eVmq81j0xTm5X4KWoeFcEk+4B/Ui7f6UbAHqTrNR4PZDi1sGKWtWcr1fs4AjdkxzNGRqgHyHUADBGcJBDnhExPT0MAD2Ey08AAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAI4T09AAA9KzGJksHK2pVc75esYMjdE9ytIKDHD09LABoM0IN0I/tKqvS6u0nVOWrt7fFuyK0akaKslLje3BkANB2XH4C+qldZVXK3XQkINBIktdXr9xNR7SrrKqHRgYA7UOoAfqhxiZLq7efkNVCW/O21dtPqLGppR4A0DsRaoB+6GBF7Q1naK5lSary1etgRW33DQoAOohQA/RDNedvHmja0w8AegNCDdAPxQ6O6NR+ANAbEGqAfuie5GjFuyJ0swe3Hbr6FNQ9ydHdOSwA6BBCDdAPBQc5tGpGiiTdEGya11fNSGG+GgB9CqEG6KeyUuO17olxcrsCLzG5XRFa98Q45qkB0Oe0KdQUFBTo7rvv1uDBgxUbG6uHH35Y5eXlAX3q6+uVl5enmJgYDRo0SLNmzVJ1dXVAn8rKSmVnZysyMlKxsbFavny5rly50vFqALRJVmq8Pltxv95eMEmvzb5Lby+YpM9W3E+gAdAntSnUFBUVKS8vT1988YUKCwt1+fJlTZ06VRcvXrT7LF26VNu3b9c777yjoqIinTlzRjNnzrTbGxsblZ2drUuXLmn//v166623tHHjRr3wwgudVxWAVgsOcsgzIkYP3fU38oyI4ZITgD7LYVlWu2fXOnv2rGJjY1VUVKTJkyfL5/Np6NCh2rJlix555BFJ0p/+9CfdcccdKi4u1qRJk7Rz5049+OCDOnPmjOLi4iRJ69ev14oVK3T27FmFhYXd8n39fr9cLpd8Pp+cTmd7hw8AALpRV39/d+ieGp/PJ0mKjr76hMThw4d1+fJlZWRk2H3GjBmjpKQkFRcXS5KKi4uVlpZmBxpJyszMlN/v1/Hjx1t8n4aGBvn9/oAFAADgWu0ONU1NTVqyZInuvfdepaamSpK8Xq/CwsIUFRUV0DcuLk5er9fuc22gaW5vbmtJQUGBXC6XvSQmJrZ32AAAwFDtDjV5eXkqKyvT1q1bO3M8LcrPz5fP57OX06dPd/l7AgCAviWkPS9avHixduzYoX379mnYsGH2drfbrUuXLqmuri7gbE11dbXcbrfd5+DBgwH7a346qrnP9cLDwxUeHt6eoQIAgH6iTWdqLMvS4sWLtW3bNu3Zs0fJyckB7ePHj1doaKh2795tbysvL1dlZaU8Ho8kyePxqLS0VDU1NXafwsJCOZ1OpaSkdKQWAADQj7XpTE1eXp62bNmiDz74QIMHD7bvgXG5XBowYIBcLpfmz5+vZcuWKTo6Wk6nU0899ZQ8Ho8mTZokSZo6dapSUlI0d+5crV27Vl6vVytXrlReXh5nYwAAQLu16ZFuh6Pl+Ss2bNigJ598UtLVyfeeeeYZvf3222poaFBmZqbefPPNgEtL33zzjXJzc7V3714NHDhQOTk5WrNmjUJCWpexeKQbAIC+p6u/vzs0T01PIdQAAND39Op5agAAAHoLQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGKHNoWbfvn2aMWOGEhIS5HA49P777we0P/nkk3I4HAFLVlZWQJ/a2lrNmTNHTqdTUVFRmj9/vi5cuNChQgBJamyyVHzqnD4o+YuKT51TY5PV00MCAHSTkLa+4OLFixo7dqx+/vOfa+bMmS32ycrK0oYNG+z18PDwgPY5c+aoqqpKhYWFunz5sn72s59p4cKF2rJlS1uHA9h2lVVp9fYTqvLV29viXRFaNSNFWanxPTgyAEB3aHOomTZtmqZNm/a9fcLDw+V2u1ts++qrr7Rr1y4dOnRIEyZMkCT9+7//u6ZPn65/+7d/U0JCQluHBGhXWZVyNx3R9edlvL565W46onVPjCPYAIDhuuSemr179yo2NlajR49Wbm6uzp07Z7cVFxcrKirKDjSSlJGRoaCgIB04cKDF/TU0NMjv9wcsQLPGJkurt5+4IdBIsret3n6CS1EAYLhODzVZWVn6r//6L+3evVv/+q//qqKiIk2bNk2NjY2SJK/Xq9jY2IDXhISEKDo6Wl6vt8V9FhQUyOVy2UtiYmJnDxt92MGK2oBLTtezJFX56nWworb7BgUA6HZtvvx0K7Nnz7b/TktLU3p6ukaMGKG9e/dqypQp7dpnfn6+li1bZq/7/X6CDWw1528eaNrTDwDQN3X5I9233367hgwZopMnT0qS3G63ampqAvpcuXJFtbW1N70PJzw8XE6nM2ABmsUOjujUfgCAvqnLQ823336rc+fOKT7+6k2aHo9HdXV1Onz4sN1nz549ampq0sSJE7t6ODDQPcnRindFyHGTdoeuPgV1T3J0dw4LANDN2hxqLly4oJKSEpWUlEiSKioqVFJSosrKSl24cEHLly/XF198oT//+c/avXu3HnroIY0cOVKZmZmSpDvuuENZWVlasGCBDh48qM8//1yLFy/W7NmzefIJ7RIc5NCqGSmSdEOwaV5fNSNFwUE3iz0AABM4LMtq0yMhe/fu1U9+8pMbtufk5GjdunV6+OGHdfToUdXV1SkhIUFTp07VSy+9pLi4OLtvbW2tFi9erO3btysoKEizZs3S66+/rkGDBrVqDH6/Xy6XSz6fj0tRsDFPDQD0bl39/d3mUNMbEGpwM41Nlg5W1KrmfL1iB1+95MQZGgDoHbr6+7vTn34CelJwkEOeETE9PQwAQA/gBy0BAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEZgnhp0KSbDAwB0F0INugw/WwAA6E5cfkKX2FVWpdxNRwICjSR5ffXK3XREu8qqemhkAABTEWrQ6RqbLK3efkIt/ahY87bV20+osanP/ewYAKAXI9Sg0x2sqL3hDM21LElVvnodrKjtvkEBAIxHqEGnqzl/80DTnn4AALQGoQadLnZwRKf2AwCgNQg16HT3JEcr3hWhmz247dDVp6DuSY7uzmEBAAxHqEGnCw5yaNWMFEm6Idg0r6+akcJ8NQCATkWoQZfISo3XuifGye0KvMTkdkVo3RPjmKcGANDpmHwPbdbaWYKzUuP1QIqbGYUBAN2CUIM2aesswcFBDnlGxHTnEAEA/RSXn9BqzBIMAOjNCDVoFWYJBgD0doQatAqzBAMAejvuqemnWnuzbzNmCQYA9HaEmn6orTf7StKQgeGt2ndr+wEA0Nm4/NTPtPtm39Y+hc3T2gCAHkKo6Uc6crPv/3ehoVXv0dp+AAB0NkJNP9KRm335kUoAQG9HqOlHOnKzLz9SCQDo7Qg1/UhHzrbwI5UAgN6OUNOPdPRsCz9SCQDozXikux9pPtuSu+mIHFLADcOtPdvCj1QCAHorh2VZfW5ee7/fL5fLJZ/PJ6fT2dPD6XPaM08NAAAd1dXf35yp6Yc42wIAMBGhpp8KDnLIMyKmp4cBAECnafONwvv27dOMGTOUkJAgh8Oh999/P6Ddsiy98MILio+P14ABA5SRkaGvv/46oE9tba3mzJkjp9OpqKgozZ8/XxcuXOhQIQAAoH9rc6i5ePGixo4dqzfeeKPF9rVr1+r111/X+vXrdeDAAQ0cOFCZmZmqr/9/92/MmTNHx48fV2FhoXbs2KF9+/Zp4cKF7a8CAAD0ex26UdjhcGjbtm16+OGHJV09S5OQkKBnnnlGzz77rCTJ5/MpLi5OGzdu1OzZs/XVV18pJSVFhw4d0oQJEyRJu3bt0vTp0/Xtt98qISHhlu/LjcIAAPQ9Xf393anz1FRUVMjr9SojI8Pe5nK5NHHiRBUXF0uSiouLFRUVZQcaScrIyFBQUJAOHDjQ4n4bGhrk9/sDFgAAgGt1aqjxer2SpLi4uIDtcXFxdpvX61VsbGxAe0hIiKKjo+0+1ysoKJDL5bKXxMTEzhw2AAAwQJ+YUTg/P18+n89eTp8+3dNDAgAAvUynhhq32y1Jqq6uDtheXV1tt7ndbtXU1AS0X7lyRbW1tXaf64WHh8vpdAYsAAAA1+rUUJOcnCy3263du3fb2/x+vw4cOCCPxyNJ8ng8qqur0+HDh+0+e/bsUVNTkyZOnNiZwwEAAP1Imyffu3Dhgk6ePGmvV1RUqKSkRNHR0UpKStKSJUv0q1/9SqNGjVJycrKef/55JSQk2E9I3XHHHcrKytKCBQu0fv16Xb58WYsXL9bs2bNb9eQTAABAS9ocar788kv95Cc/sdeXLVsmScrJydHGjRv1T//0T7p48aIWLlyouro6/ehHP9KuXbsUEfH/ftl58+bNWrx4saZMmaKgoCDNmjVLr7/+eieUAwAA+it+0BIAAHSLPjVPDQAAQE8h1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACIQaAABgBEINAAAwAqEGAAAYgVADAACMQKgBAABGINQAAAAjEGoAAIARCDUAAMAIhBoAAGAEQg0AADACoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjECoAQAARiDUAAAAIxBqAACAEQg1AADACJ0ean75y1/K4XAELGPGjLHb6+vrlZeXp5iYGA0aNEizZs1SdXV1Zw8DAAD0M11ypubOO+9UVVWVvXz22Wd229KlS7V9+3a98847Kioq0pkzZzRz5syuGAYAAOhHQrpkpyEhcrvdN2z3+Xz6/e9/ry1btuj++++XJG3YsEF33HGHvvjiC02aNKnF/TU0NKihoSFgP5Lk9/u7YPQAAKArNH9vW5bVJfvvklDz9ddfKyEhQREREfJ4PCooKFBSUpIOHz6sy5cvKyMjw+47ZswYJSUlqbi4+KahpqCgQKtXr75he2JiYlcMHwAAdKFz587J5XJ1+n47PdRMnDhRGzdu1OjRo1VVVaXVq1frxz/+scrKyuT1ehUWFqaoqKiA18TFxcnr9d50n/n5+Vq2bJm9XldXp+HDh6uysrJL/qH0Vn6/X4mJiTp9+rScTmdPD6fbUDd19wfUTd39gc/nU1JSkqKjo7tk/50eaqZNm2b/nZ6erokTJ2r48OH6wx/+oAEDBrRrn+Hh4QoPD79hu8vl6lcfhmZOp5O6+xHq7l+ou3/pr3UHBXXNw9dd/kh3VFSUfvCDH+jkyZNyu926dOmS6urqAvpUV1e3eA8OAABAa3V5qLlw4YJOnTql+Ph4jR8/XqGhodq9e7fdXl5ersrKSnk8nq4eCgAAMFinX3569tlnNWPGDA0fPlxnzpzRqlWrFBwcrMcee0wul0vz58/XsmXLFB0dLafTqaeeekoej+emNwm3JDw8XKtWrWrxkpTJqJu6+wPqpu7+gLq7pm6H1cnPVc2ePVv79u3TuXPnNHToUP3oRz/Sv/zLv2jEiBGSrk6+98wzz+jtt99WQ0ODMjMz9eabb3L5CQAAdEinhxoAAICewG8/AQAAIxBqAACAEQg1AADACIQaAABghF4ban75y1/K4XAELGPGjLHb6+vrlZeXp5iYGA0aNEizZs1SdXV1D464ffbt26cZM2YoISFBDodD77//fkC7ZVl64YUXFB8frwEDBigjI0Nff/11QJ/a2lrNmTNHTqdTUVFRmj9/vi5cuNCNVbTdrep+8sknbzj+WVlZAX36Yt0FBQW6++67NXjwYMXGxurhhx9WeXl5QJ/WfLYrKyuVnZ2tyMhIxcbGavny5bpy5Up3ltImran7vvvuu+GYL1q0KKBPX6t73bp1Sk9Pt2eN9Xg82rlzp91u4rGWbl23ice6JWvWrJHD4dCSJUvsbaYe82u1VHe3HXOrl1q1apV15513WlVVVfZy9uxZu33RokVWYmKitXv3buvLL7+0Jk2aZP3d3/1dD464fT788EPrn//5n6333nvPkmRt27YtoH3NmjWWy+Wy3n//fet///d/rX/4h3+wkpOTrb/+9a92n6ysLGvs2LHWF198Yf3P//yPNXLkSOuxxx7r5kra5lZ15+TkWFlZWQHHv7a2NqBPX6w7MzPT2rBhg1VWVmaVlJRY06dPt5KSkqwLFy7YfW712b5y5YqVmppqZWRkWEePHrU+/PBDa8iQIVZ+fn5PlNQqran77//+760FCxYEHHOfz2e398W6//u//9v64x//aP3f//2fVV5ebj333HNWaGioVVZWZlmWmcfasm5dt4nH+noHDx60/vZv/9ZKT0+3nn76aXu7qce82c3q7q5j3qtDzdixY1tsq6urs0JDQ6133nnH3vbVV19Zkqzi4uJuGmHnu/7LvampyXK73dYrr7xib6urq7PCw8Ott99+27Isyzpx4oQlyTp06JDdZ+fOnZbD4bD+8pe/dNvYO+Jmoeahhx666WtMqNuyLKumpsaSZBUVFVmW1brP9ocffmgFBQVZXq/X7rNu3TrL6XRaDQ0N3VtAO11ft2Vd/Y/etf8RvJ4JdVuWZd12223Wf/7nf/abY92suW7LMv9Ynz9/3ho1apRVWFgYUKvpx/xmdVtW9x3zXnv5SZK+/vprJSQk6Pbbb9ecOXNUWVkpSTp8+LAuX76sjIwMu++YMWOUlJSk4uLinhpup6uoqJDX6w2o0+VyaeLEiXadxcXFioqK0oQJE+w+GRkZCgoK0oEDB7p9zJ1p7969io2N1ejRo5Wbm6tz587ZbabU7fP5JMn+xdrWfLaLi4uVlpamuLg4u09mZqb8fr+OHz/ejaNvv+vrbrZ582YNGTJEqampys/P13fffWe39fW6GxsbtXXrVl28eFEej6ffHOvr625m8rHOy8tTdnZ2wLGVzP/3+2Z1N+uOY97pP5PQWSZOnKiNGzdq9OjRqqqq0urVq/XjH/9YZWVl8nq9CgsLU1RUVMBr4uLi5PV6e2bAXaC5lmsPcvN6c5vX61VsbGxAe0hIiKKjo/v0P4usrCzNnDlTycnJOnXqlJ577jlNmzZNxcXFCg4ONqLupqYmLVmyRPfee69SU1MlqVWfba/X2+Jnormtt2upbkl6/PHHNXz4cCUkJOjYsWNasWKFysvL9d5770nqu3WXlpbK4/Govr5egwYN0rZt25SSkqKSkhKjj/XN6pbMPdaStHXrVh05ckSHDh26oc3kf7+/r26p+455rw0106ZNs/9OT0/XxIkTNXz4cP3hD3/QgAEDenBk6A6zZ8+2/05LS1N6erpGjBihvXv3asqUKT04ss6Tl5ensrIyffbZZz09lG51s7oXLlxo/52Wlqb4+HhNmTJFp06dsn9mpS8aPXq0SkpK5PP59O677yonJ0dFRUU9Pawud7O6U1JSjD3Wp0+f1tNPP63CwkJFRET09HC6TWvq7q5j3qsvP10rKipKP/jBD3Ty5Em53W5dunRJdXV1AX2qq6uN+g2p5lquvzP+2jrdbrdqamoC2q9cuaLa2lqj/lncfvvtGjJkiE6ePCmp79e9ePFi7dixQ59++qmGDRtmb2/NZ9vtdrf4mWhu681uVndLJk6cKEkBx7wv1h0WFqaRI0dq/PjxKigo0NixY/Xaa68Zf6xvVndLTDnWhw8fVk1NjcaNG6eQkBCFhISoqKhIr7/+ukJCQhQXF2fkMb9V3Y2NjTe8pquOeZ8JNRcuXNCpU6cUHx+v8ePHKzQ0VLt377bby8vLVVlZGXDNtq9LTk6W2+0OqNPv9+vAgQN2nR6PR3V1dTp8+LDdZ8+ePWpqarI/NCb49ttvde7cOcXHx0vqu3VblqXFixdr27Zt2rNnj5KTkwPaW/PZ9ng8Ki0tDQh1hYWFcjqd9un93uZWdbekpKREkgKOeV+ruyVNTU1qaGgw9ljfTHPdLTHlWE+ZMkWlpaUqKSmxlwkTJmjOnDn23yYe81vVHRwcfMNruuyYt/3+5u7xzDPPWHv37rUqKiqszz//3MrIyLCGDBli1dTUWJZ19bG4pKQka8+ePdaXX35peTwey+Px9PCo2+78+fPW0aNHraNHj1qSrF//+tfW0aNHrW+++cayrKuPdEdFRVkffPCBdezYMeuhhx5q8ZHuH/7wh9aBAweszz77zBo1alSvf7T5++o+f/689eyzz1rFxcVWRUWF9cknn1jjxo2zRo0aZdXX19v76It15+bmWi6Xy9q7d2/Ao43fffed3edWn+3mRx+nTp1qlZSUWLt27bKGDh3aqx/5vFXdJ0+etF588UXryy+/tCoqKqwPPvjAuv32263Jkyfb++iLdf/iF7+wioqKrIqKCuvYsWPWL37xC8vhcFgff/yxZVlmHmvL+v66TT3WN3P9Uz+mHvPrXVt3dx7zXhtqHn30USs+Pt4KCwuz/uZv/sZ69NFHrZMnT9rtf/3rX61//Md/tG677TYrMjLS+ulPf2pVVVX14Ijb59NPP7Uk3bDk5ORYlnX1se7nn3/eiouLs8LDw60pU6ZY5eXlAfs4d+6c9dhjj1mDBg2ynE6n9bOf/cw6f/58D1TTet9X93fffWdNnTrVGjp0qBUaGmoNHz7cWrBgQcCjfpbVN+tuqWZJ1oYNG+w+rfls//nPf7amTZtmDRgwwBoyZIj1zDPPWJcvX+7malrvVnVXVlZakydPtqKjo63w8HBr5MiR1vLlywPmsbCsvlf3z3/+c2v48OFWWFiYNXToUGvKlCl2oLEsM4+1ZX1/3aYe65u5PtSYesyvd23d3XnMHZZlWa0/rwMAANA79Zl7agAAAL4PoQYAABiBUAMAAIxAqAEAAEYg1AAAACMQagAAgBEINQAAwAiEGgAAYARCDQAAMAKhBgAAGIFQAwAAjPD/AzEOMFQ6AG+AAAAAAElFTkSuQmCC", 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", 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", 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" ] @@ -366,7 +359,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -385,7 +378,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -424,111 +417,111 @@ " 0\n", " 42\n", " 0.03\n", - " 297\n", - " [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ...\n", - " 0.029831\n", - " 1.000001e+06\n", - " -40.134343\n", - " 289.231611\n", + " 268\n", + " [3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, ...\n", + " 0.029713\n", + " 9.999995e+05\n", + " -28.052725\n", + " 260.059255\n", " \n", " \n", " 1\n", " 43\n", " 0.04\n", - " 116\n", - " [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ...\n", - " 0.039652\n", - " 9.999990e+05\n", - " -23.915933\n", - " 111.859937\n", + " 115\n", + " [3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, ...\n", + " 0.039558\n", + " 9.999997e+05\n", + " -30.701751\n", + " 110.279898\n", " \n", " \n", " 2\n", " 44\n", " 0.05\n", - " 322\n", - " [3, 3, 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3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, ... \n", - "6 48 0.09 128 [3, 3, 3, 3, 4, 4, 4, 5, 6, 6, 6, 7, 7, 8, 8, ... \n", - "7 49 0.10 264 [3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 7, 9, 9, 10, 10... \n", - "8 50 0.11 263 [3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 9, 10, 10... \n", - "9 51 0.12 128 [3, 3, 3, 3, 4, 4, 4, 5, 6, 7, 8, 9, 9, 10, 10... \n", + "0 42 0.03 268 [3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, ... \n", + "1 43 0.04 115 [3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, ... \n", + "2 44 0.05 172 [3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, ... \n", + "3 45 0.06 122 [3, 4, 4, 5, 5, 6, 7, 7, 8, 8, 9, 9, 10, 10, 1... \n", + "4 46 0.07 399 [3, 3, 3, 3, 3, 4, 4, 4, 5, 5, 6, 7, 7, 7, 8, ... \n", + "5 47 0.08 175 [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, ... \n", + "6 48 0.09 363 [3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 6, 6, 7, 7, ... \n", + "7 49 0.10 262 [3, 3, 3, 3, 3, 4, 4, 5, 6, 6, 7, 7, 8, 10, 10... \n", + "8 50 0.11 195 [3, 3, 3, 3, 4, 4, 4, 5, 6, 6, 7, 7, 8, 10, 11... \n", + "9 51 0.12 175 [3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 6, 6, 7, 8, ... \n", "\n", " fitted_beta fitted_size fitted_t0 fitted_cbr \n", - "0 0.029831 1.000001e+06 -40.134343 289.231611 \n", - "1 0.039652 9.999990e+05 -23.915933 111.859937 \n", - "2 0.049426 1.000000e+06 -28.024410 307.599777 \n", - "3 0.059090 9.999994e+05 -24.636503 208.950802 \n", - "4 0.068733 9.999990e+05 -9.955440 128.092361 \n", - "5 0.078432 1.000000e+06 -6.390341 148.325551 \n", - "6 0.087990 9.999994e+05 -8.604563 117.305951 \n", - "7 0.097719 9.999999e+05 -8.399366 241.039712 \n", - "8 0.107056 9.999999e+05 -7.651975 238.832325 \n", - "9 0.116485 1.000001e+06 -5.796355 114.610106 " + "0 0.029713 9.999995e+05 -28.052725 260.059255 \n", + "1 0.039558 9.999997e+05 -30.701751 110.279898 \n", + "2 0.049516 1.000000e+06 -27.044489 164.727985 \n", + "3 0.059022 1.000000e+06 -29.242541 114.981959 \n", + "4 0.068736 1.000001e+06 -10.788369 373.699401 \n", + "5 0.078315 1.000000e+06 -4.719514 162.534552 \n", + "6 0.087922 9.999993e+05 -9.985295 333.658491 \n", + "7 0.097772 1.000000e+06 -8.796456 240.536108 \n", + "8 0.107122 9.999999e+05 -6.396856 177.017428 \n", + "9 0.116547 1.000000e+06 -2.693912 156.850958 " ] }, - "execution_count": 64, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -571,12 +564,12 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -614,7 +607,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -628,7 +621,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/notebooks/media/Spatial Spread of Rabies - Figure 1.png b/notebooks/media/Spatial Spread of Rabies - Figure 1.png new file mode 100644 index 0000000..824f82c Binary files /dev/null and b/notebooks/media/Spatial Spread of Rabies - Figure 1.png differ diff --git a/notebooks/media/Spatial Spread of Rabies - Figure 2.png b/notebooks/media/Spatial Spread of Rabies - Figure 2.png new file mode 100644 index 0000000..b0535e3 Binary files /dev/null and b/notebooks/media/Spatial Spread of Rabies - Figure 2.png differ diff --git a/notebooks/media/Spatial Spread of Rabies - Figure 3.png b/notebooks/media/Spatial Spread of Rabies - Figure 3.png new file mode 100644 index 0000000..abed8d5 Binary files /dev/null and b/notebooks/media/Spatial Spread of Rabies - Figure 3.png differ diff --git a/notebooks/media/Spatial Spread of Rabies - Figure 6.png b/notebooks/media/Spatial Spread of Rabies - Figure 6.png new file mode 100644 index 0000000..14e9600 Binary files /dev/null and b/notebooks/media/Spatial Spread of Rabies - Figure 6.png differ diff --git a/pyproject.toml b/pyproject.toml index 8221083..51e16d2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,13 +8,15 @@ version = "0.0.0" dependencies = [ "click", - "laser-core>=0.1.1", -# "numpy>=1.26.4,<2.0.0", # depend on laser_core for NumPy -# "numba~=0.59.1", # depend on laser_core for Numba + "laser-core>=0.4.0", + "numpy", + "numba", "tqdm", "geopandas", "pandas", "scipy", + "jupyter", + "ipywidgets", ] requires-python = ">= 3.9" diff --git a/src/laser_generic/births.py b/src/laser_generic/births.py index 00499df..73a85fa 100644 --- a/src/laser_generic/births.py +++ b/src/laser_generic/births.py @@ -9,7 +9,7 @@ Usage: - The Births component requires a model with a `population` attribute that has a `dob` attribute. + The Births component requires a model with an `agents` attribute that has a `dob` attribute. It calculates the number of births based on the model's parameters and updates the population accordingly. It also provides methods to plot birth statistics. @@ -41,7 +41,7 @@ class Births: Attributes: - model: The model instance containing population and parameters. + model: The model instance containing agents and parameters. verbose (bool): Flag to enable verbose output. Default is False. initializers (list): List of initializers to be called on birth events. metrics (DataFrame): DataFrame to holding timing metrics for initializers. @@ -53,22 +53,21 @@ def __init__(self, model, verbose: bool = False): Parameters: - model (object): The model object which must have a `population` attribute. + model (object): The model object which must have a `agents` attribute. verbose (bool, optional): If True, enables verbose output. Defaults to False. Raises: - AssertionError: If the model does not have a `population` attribute. - AssertionError: If the model's population does not have a `dob` attribute. + AssertionError: If the model does not have a `agents` attribute. """ - assert getattr(model, "population", None) is not None, "Births requires the model to have a `population` attribute" + assert getattr(model, "agents", None) is not None, "Births requires the model to have a `agents` attribute" self.model = model nyears = (model.params.nticks + 364) // 365 model.patches.add_vector_property("births", length=nyears, dtype=np.int32) - model.population.add_scalar_property("dob", dtype=np.int32) + model.agents.add_scalar_property("dob", dtype=np.int32) self._initializers = [] self._metrics = [] @@ -142,14 +141,14 @@ def __call__(self, model, tick) -> None: annual_births * (doy - 1) // 365 ) # Is this not always basically annual_births / 365? count_births = todays_births.sum() - istart, iend = model.population.add(count_births) + istart, iend = model.agents.add(count_births) - if hasattr(model.population, "dob"): - model.population.dob[istart:iend] = tick # set to current tick + if hasattr(model.agents, "dob"): + model.agents.dob[istart:iend] = tick # set to current tick # set the nodeids for the newborns in case subsequent initializers need them (properties varying by patch) index = istart - nodeids = model.population.nodeid + nodeids = model.agents.nodeid for nodeid, births in enumerate(todays_births): nodeids[index : index + births] = nodeid index += births @@ -228,23 +227,22 @@ def __init__(self, model, verbose: bool = False): Parameters: - model (object): The model object which must have a `population` attribute. + model (object): The model object which must have a `agents` attribute. verbose (bool, optional): If True, enables verbose output. Defaults to False. Raises: - AssertionError: If the model does not have a `population` attribute. - AssertionError: If the model's population does not have a `dob` attribute. + AssertionError: If the model does not have a `agents` attribute. """ - assert getattr(model, "population", None) is not None, "Births requires the model to have a `population` attribute" + assert getattr(model, "agents", None) is not None, "Births requires the model to have a `agents` attribute" self.model = model - model.population.add_scalar_property("dob", dtype=np.int32) + model.agents.add_scalar_property("dob", dtype=np.int32) # Simple initializer for ages where birth rate = mortality rate: daily_mortality_rate = (1+model.params.cbr/1000)**(1/365)-1 - model.population.dob[0 : model.population.count] = -1*model.prng.exponential(1 / daily_mortality_rate, model.population.count).astype(np.int32) + model.agents.dob[0 : model.agents.count] = -1*model.prng.exponential(1 / daily_mortality_rate, model.agents.count).astype(np.int32) # nyears = (model.params.nticks + 364) // 365 model.patches.add_vector_property("births", length=model.params.nticks, dtype=np.uint32) @@ -309,8 +307,8 @@ def __call__(self, model, tick) -> None: # random selection will be population proportional. If node id is not contiguous, could be tricky? indices = model.prng.choice(model.patches.populations[tick, :].sum(), size=model.patches.births[tick, :].sum(), replace=False) - if hasattr(model.population, "dob"): - model.population.dob[indices] = tick # set to current tick + if hasattr(model.agents, "dob"): + model.agents.dob[indices] = tick # set to current tick timing = [tick] for initializer in self._initializers: diff --git a/src/laser_generic/importation.py b/src/laser_generic/importation.py index a4f7afe..056a45b 100644 --- a/src/laser_generic/importation.py +++ b/src/laser_generic/importation.py @@ -24,7 +24,7 @@ class Infect_Random_Agents: """ - A component to update the infection timers of a population in a model. + A component to update the infection timers of agents in a model. """ def __init__(self, model, verbose: bool = False) -> None: @@ -33,7 +33,7 @@ def __init__(self, model, verbose: bool = False) -> None: Args: - model: The model object that contains the population. + model: The model object that contains the agents. period: The number of ticks between each infection event. count: The number of agents to infect at each event. start (int, optional): The tick at which to start the infection events. @@ -41,7 +41,7 @@ def __init__(self, model, verbose: bool = False) -> None: Attributes: - model: The model object that contains the population. + model: The model object that contains the agents. Side Effects: @@ -61,11 +61,11 @@ def __init__(self, model, verbose: bool = False) -> None: def __call__(self, model, tick) -> None: """ - Updates the infection timers for the population in the model. + Updates the infection timers for the agents in the model. Args: - model: The model containing the population data. + model: The model containing the agent data. tick: The current tick or time step in the simulation. Returns: @@ -87,7 +87,7 @@ def plot(self, fig: Figure = None): class Infect_Agents_In_Patch: """ - A component to update the infection timers of a population in a model. + A component to update the infection timers of agents in a model. """ def __init__(self, model, verbose: bool = False) -> None: @@ -96,7 +96,7 @@ def __init__(self, model, verbose: bool = False) -> None: Args: - model: The model object that contains the population. + model: The model object that contains the agents. period: The number of ticks between each infection event. count: The number of agents to infect at each event. start (int, optional): The tick at which to start the infection events. @@ -104,7 +104,7 @@ def __init__(self, model, verbose: bool = False) -> None: Attributes: - model: The model object that contains the population. + model: The model object that contains the agents. Side Effects: @@ -122,11 +122,11 @@ def __init__(self, model, verbose: bool = False) -> None: def __call__(self, model, tick) -> None: """ - Updates the infection timers for the population in the model. + Updates the infection timers for the agents in the model. Args: - model: The model containing the population data. + model: The model containing the agents data. tick: The current tick or time step in the simulation. Returns: diff --git a/src/laser_generic/infection.py b/src/laser_generic/infection.py index 00e2ae2..071a4f5 100644 --- a/src/laser_generic/infection.py +++ b/src/laser_generic/infection.py @@ -10,10 +10,10 @@ Initializes the Infection class with a given model and verbosity option. Infection.__call__(self, model, tick) -> None: - Updates the infection status of the population at each tick. + Updates the infection status of the agents at each tick. Infection.nb_infection_update(count, itimers): - A static method that updates the infection timers for the population using Numba for performance. + A static method that updates the infection timers for the agents using Numba for performance. Infection.on_birth(self, model, _tick, istart, iend) -> None: Resets the infection timer for newborns in the population. @@ -33,7 +33,7 @@ class Infection: """ - A component to update the infection timers of a population in a model. + A component to update the infection timers of agents in a model. """ def __init__(self, model, verbose: bool = False) -> None: @@ -42,50 +42,50 @@ def __init__(self, model, verbose: bool = False) -> None: Args: - model: The model object that contains the population. + model: The model object that contains the agents. verbose (bool, optional): If True, enables verbose output. Defaults to False. Attributes: - model: The model object that contains the population. + model: The model object that contains the agents. Side Effects: - Adds a scalar property "itimer" to the model's population with dtype np.uint16 and default value 0. - Calls the nb_set_itimers method to initialize the itimer values for the population. + Adds a scalar property "itimer" to the model's agents with dtype np.uint16 and default value 0. + Calls the nb_set_itimers method to initialize the itimer values for the agents. """ self.model = model - model.population.add_scalar_property("itimer", dtype=np.uint16, default=0) + model.agents.add_scalar_property("itimer", dtype=np.uint16, default=0) model.patches.add_vector_property("recovered", length=model.params.nticks, dtype=np.uint32) - Infection.nb_set_itimers_slice(0, model.population.count, model.population.itimer, 0) + Infection.nb_set_itimers_slice(0, model.agents.count, model.agents.itimer, 0) return def census(self, model, tick) -> None: - population = model.population + agents = model.agents patches = model.patches recovered_count = patches.recovered[tick, :] - rec = np.logical_and(population.susceptibility[0:population.count]==0, - population.itimer[0:population.count]==0) + rec = np.logical_and(agents.susceptibility[0:agents.count]==0, + agents.itimer[0:agents.count]==0) if len(model.patches) == 1: np.add(recovered_count, np.count_nonzero(rec), #if you are susceptible or infected, you're not recovered out=recovered_count) else: - nodeids = population.nodeid[0 : population.count] - self.accumulate_recovered(recovered_count, rec, nodeids, population.count) + nodeids = agents.nodeid[0 : agents.count] + self.accumulate_recovered(recovered_count, rec, nodeids, agents.count) return def __call__(self, model, tick) -> None: """ - Updates the infection timers for the population in the model. + Updates the infection timers for the agents in the model. Args: - model: The model containing the population data. + model: The model containing the agent data. tick: The current tick or time step in the simulation. Returns: @@ -93,7 +93,7 @@ def __call__(self, model, tick) -> None: None """ - Infection.nb_infection_update(model.population.count, model.population.itimer) + Infection.nb_infection_update(model.agents.count, model.agents.itimer) return @@ -101,7 +101,7 @@ def __call__(self, model, tick) -> None: @staticmethod @nb.njit((nb.uint32, nb.uint16[:]), parallel=True, cache=True) def nb_infection_update(count, itimers): # pragma: no cover - """Numba compiled function to check and update infection timers for the population in parallel.""" + """Numba compiled function to check and update infection timers for the agents in parallel.""" for i in nb.prange(count): itimer = itimers[i] if itimer > 0: @@ -133,10 +133,10 @@ def on_birth(self, model, _tick, istart, iend) -> None: Args: - model: The simulation model containing the population data. + model: The simulation model containing the agents data. tick: The current tick or time step in the simulation (unused in this function). - istart: The starting index of the newborns in the population array. - iend: The ending index of the newborns in the population array. + istart: The starting index of the newborns in the agents array. + iend: The ending index of the newborns in the agents array. Returns: @@ -144,11 +144,11 @@ def on_birth(self, model, _tick, istart, iend) -> None: """ # newborns are not infectious - # Infection.nb_set_itimers(istart, iend, model.population.itimer, 0) + # Infection.nb_set_itimers(istart, iend, model.agents.itimer, 0) if iend is not None: - Infection.nb_set_itimers_slice(istart, iend, model.population.itimer, np.uint16(0)) + Infection.nb_set_itimers_slice(istart, iend, model.agents.itimer, np.uint16(0)) else: - Infection.nb_set_itimers_randomaccess(istart, model.population.itimer, np.uint16(0)) + Infection.nb_set_itimers_randomaccess(istart, model.agents.itimer, np.uint16(0)) return @staticmethod @@ -188,10 +188,10 @@ def plot(self, fig: Figure = None): fig = plt.figure(figsize=(12, 9), dpi=128) if fig is None else fig fig.suptitle("Infections By Age") - ages_in_years = (self.model.params.nticks - self.model.population.dob[0 : self.model.population.count]) // 365 + ages_in_years = (self.model.params.nticks - self.model.agents.dob[0 : self.model.agents.count]) // 365 age_counts = np.bincount(ages_in_years) plt.bar(range(len(age_counts)), age_counts) - itimers = self.model.population.itimer[0 : self.model.population.count] + itimers = self.model.agents.itimer[0 : self.model.agents.count] infected = itimers > 0 infection_counts = np.bincount(ages_in_years[infected]) plt.bar(range(len(infection_counts)), infection_counts) @@ -202,7 +202,7 @@ def plot(self, fig: Figure = None): class Infection_SIS: """ - A component to update the infection timers of a population in a model. + A component to update the infection timers of agents in a model. """ def __init__(self, model, verbose: bool = False) -> None: @@ -211,33 +211,33 @@ def __init__(self, model, verbose: bool = False) -> None: Args: - model: The model object that contains the population. + model: The model object that contains the agents. verbose (bool, optional): If True, enables verbose output. Defaults to False. Attributes: - model: The model object that contains the population. + model: The model object that contains the agents. Side Effects: - Adds a scalar property "itimer" to the model's population with dtype np.uint16 and default value 0. - Calls the nb_set_itimers method to initialize the itimer values for the population. + Adds a scalar property "itimer" to the model's agents with dtype np.uint16 and default value 0. + Calls the nb_set_itimers method to initialize the itimer values for the agents. """ self.model = model - model.population.add_scalar_property("itimer", dtype=np.uint16, default=0) - Infection_SIS.nb_set_itimers(0, model.population.count, model.population.itimer, 0) + model.agents.add_scalar_property("itimer", dtype=np.uint16, default=0) + Infection_SIS.nb_set_itimers(0, model.agents.count, model.agents.itimer, 0) return def __call__(self, model, tick) -> None: """ - Updates the infection timers for the population in the model. + Updates the infection timers for the agents in the model. Args: - model: The model containing the population data. + model: The model containing the agents data. tick: The current tick or time step in the simulation. Returns: @@ -245,13 +245,13 @@ def __call__(self, model, tick) -> None: None """ - Infection_SIS.nb_infection_update(model.population.count, model.population.itimer, model.population.susceptibility) + Infection_SIS.nb_infection_update(model.agents.count, model.agents.itimer, model.agents.susceptibility) return @staticmethod @nb.njit((nb.uint32, nb.uint16[:], nb.uint8[:]), parallel=True, cache=True) def nb_infection_update(count, itimers, susceptibility): # pragma: no cover - """Numba compiled function to check and update infection timers for the population in parallel.""" + """Numba compiled function to check and update infection timers for the agents in parallel.""" for i in nb.prange(count): itimer = itimers[i] if itimer > 0: @@ -268,10 +268,10 @@ def on_birth(self, model, _tick, istart, iend) -> None: Args: - model: The simulation model containing the population data. + model: The simulation model containing the agents data. tick: The current tick or time step in the simulation (unused in this function). - istart: The starting index of the newborns in the population array. - iend: The ending index of the newborns in the population array. + istart: The starting index of the newborns in the agents array. + iend: The ending index of the newborns in the agents array. Returns: @@ -279,8 +279,8 @@ def on_birth(self, model, _tick, istart, iend) -> None: """ # newborns are not infectious - # Infection.nb_set_itimers(istart, iend, model.population.itimer, 0) - model.population.itimer[istart:iend] = 0 + # Infection.nb_set_itimers(istart, iend, model.agents.itimer, 0) + model.agents.itimer[istart:iend] = 0 return @staticmethod @@ -311,10 +311,10 @@ def plot(self, fig: Figure = None): fig = plt.figure(figsize=(12, 9), dpi=128) if fig is None else fig fig.suptitle("Infections By Age") - ages_in_years = (self.model.params.nticks - self.model.population.dob[0 : self.model.population.count]) // 365 + ages_in_years = (self.model.params.nticks - self.model.agents.dob[0 : self.model.agents.count]) // 365 age_counts = np.bincount(ages_in_years) plt.bar(range(len(age_counts)), age_counts) - itimers = self.model.population.itimer[0 : self.model.population.count] + itimers = self.model.agents.itimer[0 : self.model.agents.count] infected = itimers > 0 infection_counts = np.bincount(ages_in_years[infected]) plt.bar(range(len(infection_counts)), infection_counts) diff --git a/src/laser_generic/model.py b/src/laser_generic/model.py index 5b6cb42..c3de4a4 100644 --- a/src/laser_generic/model.py +++ b/src/laser_generic/model.py @@ -55,7 +55,7 @@ from matplotlib import pyplot as plt from matplotlib.backends.backend_pdf import PdfPages from matplotlib.figure import Figure -from tqdm import tqdm +from tqdm.notebook import tqdm #, trange from itertools import chain from laser_generic import Births @@ -94,7 +94,7 @@ def __init__(self, scenario: pd.DataFrame, parameters: PropertySet, name: str = click.echo(f"Initializing the {name} model with {len(scenario)} patches…") self.initialize_patches(scenario, parameters) - self.initialize_population(scenario, parameters) + self.initialize_agents(scenario, parameters) # self.initialize_network(scenario, parameters) return @@ -112,24 +112,24 @@ def initialize_patches(self, scenario: pd.DataFrame, parameters: PropertySet) -> return - def initialize_population(self, scenario: pd.DataFrame, parameters: PropertySet) -> None: - # Initialize the model population + def initialize_agents(self, scenario: pd.DataFrame, parameters: PropertySet) -> None: + # Initialize the model agents # Is there a better pattern than checking for cbr in parameters? Many modelers might use "mu", for example. # Would rather check E.g., if there is a birth component, but that might come later. #if "cbr" in parameters: # capacity = calc_capacity(self.patches.populations[0, :].sum(), parameters.nticks, parameters.cbr, parameters.verbose) #else: capacity = np.sum(self.patches.populations[0, :]) - self.population = LaserFrame(capacity) + self.agents = LaserFrame(capacity) - self.population.add_scalar_property("nodeid", dtype=np.uint16) + self.agents.add_scalar_property("nodeid", dtype=np.uint16) for nodeid, count in enumerate(self.patches.populations[0, :]): - first, last = self.population.add(count) - self.population.nodeid[first:last] = nodeid + first, last = self.agents.add(count) + self.agents.nodeid[first:last] = nodeid - # Initialize population ages + # Initialize agent ages # With the simple demographics I'm using, I won't always need ages, and when I do they will just be exponentially distributed. - # Note - should we separate population initialization routines from initialization of the model class? + # Note - should we separate agent initialization routines from initialization of the model class? # pyramid_file = parameters.pyramid_file # age_distribution = load_pyramid_csv(pyramid_file) @@ -137,11 +137,11 @@ def initialize_population(self, scenario: pd.DataFrame, parameters: PropertySet) # sampler = AliasedDistribution(both) # bin_min_age_days = age_distribution[:, 0] * 365 # minimum age for bin, in days (include this value) # bin_max_age_days = (age_distribution[:, 1] + 1) * 365 # maximum age for bin, in days (exclude this value) - # initial_pop = self.population.count + # initial_pop = self.agents.count # samples = sampler.sample(initial_pop) # sample for bins from pyramid - # self.population.add_scalar_property("dob", dtype=np.int32) + # self.agents.add_scalar_property("dob", dtype=np.int32) # mask = np.zeros(initial_pop, dtype=bool) - # dobs = self.population.dob[0:initial_pop] + # dobs = self.agents.dob[0:initial_pop] # click.echo("Assigning day of year of birth to agents…") # for i in tqdm(range(len(age_distribution))): # for each possible bin value... # mask[:] = samples == i # ...find the agents that belong to this bin @@ -260,7 +260,7 @@ def run(self) -> None: click.echo(f"{self.tstart}: Running the {self.name} model for {self.params.nticks} ticks…") self.metrics = [] - for tick in tqdm(range(self.params.nticks)): + for tick in tqdm(range(self.params.nticks), leave=False): timing = [tick] for census in self.censuses: tstart = datetime.now(tz=None) # noqa: DTZ005 @@ -364,7 +364,7 @@ def plot(self, fig: Figure = None): _fig.suptitle("Distribution of Day of Birth for Initial Population") count = self.patches.populations[0, :].sum() # just the initial population - dobs = self.population.dob[0:count] + dobs = self.agents.dob[0:count] plt.hist(dobs, bins=100) plt.xlabel("Day of Birth") diff --git a/src/laser_generic/susceptibility.py b/src/laser_generic/susceptibility.py index 15841ac..35b0263 100644 --- a/src/laser_generic/susceptibility.py +++ b/src/laser_generic/susceptibility.py @@ -4,10 +4,10 @@ Classes: - Susceptibility: Manages the susceptibility property of a population and provides methods for + Susceptibility: Manages the susceptibility property of agents and provides methods for updating and plotting susceptibility data. - Susceptibility_SI: Manages the susceptibility property of a population for the SI model. + Susceptibility_SI: Manages the susceptibility property of agents for the SI model. Functions: @@ -37,7 +37,7 @@ def __init__(self, model, verbose: bool = False): model : object - The model object that contains the population data. + The model object that contains the agent data. verbose : bool, optional @@ -49,16 +49,16 @@ def __init__(self, model, verbose: bool = False): The model object passed to the initializer. - The method also adds a scalar property "susceptibility" to the model's population + The method also adds a scalar property "susceptibility" to the model's agents with a default value of 1 and initializes the susceptibility values based on the - population count, date of birth (dob), and susceptibility attributes. + agent count, date of birth (dob), and susceptibility attributes. """ self.model = model - model.population.add_scalar_property("susceptibility", dtype=np.uint8, default=1) + model.agents.add_scalar_property("susceptibility", dtype=np.uint8, default=1) model.patches.add_vector_property("susceptibility", model.params.nticks, dtype=np.uint32) - # self.nb_initialize_susceptibility(model.population.count, model.population.dob, model.population.susceptibility) + # self.nb_initialize_susceptibility(model.agents.count, model.agents.dob, model.agents.susceptibility) return @@ -127,17 +127,17 @@ def __call__(self, model, tick): def census(self, model, tick): patches = model.patches - population = model.population + agents = model.agents susceptible_count = patches.susceptibility[tick, :] # we will accumulate current susceptibles into this view into the susceptibility array if len(model.patches) == 1: np.add(susceptible_count, - np.count_nonzero(population.susceptibility[0:population.count]), + np.count_nonzero(agents.susceptibility[0:agents.count]), out=susceptible_count) else: - nodeids = population.nodeid[0 : population.count] - susceptibility = population.susceptibility[0 : population.count] - self.accumulate_susceptibility(susceptible_count, susceptibility, nodeids, population.count) + nodeids = agents.nodeid[0 : agents.count] + susceptibility = agents.susceptibility[0 : agents.count] + self.accumulate_susceptibility(susceptible_count, susceptibility, nodeids, agents.count) def on_birth(self, model, _tick, istart, iend): @@ -150,10 +150,10 @@ def on_birth(self, model, _tick, istart, iend): Parameters: - model (object): The model object containing the population data. + model (object): The model object containing the agent data. tick (int): The current tick or time step in the simulation. - istart (int): The starting index of the newborns in the population array. - iend (int): The ending index of the newborns in the population array. + istart (int): The starting index of the newborns in the agents array. + iend (int): The ending index of the newborns in the agents array. Returns: @@ -161,11 +161,11 @@ def on_birth(self, model, _tick, istart, iend): """ # newborns are susceptible - # nb_set_susceptibility(istart, iend, model.population.susceptibility, 0) + # nb_set_susceptibility(istart, iend, model.agents.susceptibility, 0) if iend is not None: - Susceptibility.nb_set_susceptibility_slice(istart, iend, model.population.susceptibility, np.uint8(1)) + Susceptibility.nb_set_susceptibility_slice(istart, iend, model.agents.susceptibility, np.uint8(1)) else: - Susceptibility.nb_set_susceptibility_randomaccess(istart, model.population.susceptibility, np.uint8(1)) + Susceptibility.nb_set_susceptibility_randomaccess(istart, model.agents.susceptibility, np.uint8(1)) return @@ -184,8 +184,8 @@ def plot(self, fig: Figure = None): # fig = plt.figure(figsize=(12, 9), dpi=128) if fig is None else fig # fig.suptitle("Susceptibility Distribution By Age") - # age_bins = (self.model.params.nticks - self.model.population.dob[0 : self.model.population.count]) // 365 - # sus_counts = np.bincount(age_bins, weights=self.model.population.susceptibility[0 : self.model.population.count].astype(np.uint32)) + # age_bins = (self.model.params.nticks - self.model.agents.dob[0 : self.model.agents.count]) // 365 + # sus_counts = np.bincount(age_bins, weights=self.model.agents.susceptibility[0 : self.model.agents.count].astype(np.uint32)) # age_counts = np.bincount(age_bins) # # TODO - convert this to %age of susceptible individuals by age group # plt.bar(range(len(age_counts)), age_counts) diff --git a/src/laser_generic/transmission.py b/src/laser_generic/transmission.py index d4c48a2..8b8f474 100644 --- a/src/laser_generic/transmission.py +++ b/src/laser_generic/transmission.py @@ -60,24 +60,24 @@ def __init__(self, model, verbose: bool = False) -> None: model.patches.add_vector_property("cases", length=model.params.nticks, dtype=np.uint32) model.patches.add_scalar_property("forces", dtype=np.float32) model.patches.add_vector_property("incidence", model.params.nticks, dtype=np.uint32) - model.population.add_scalar_property("doi", dtype=np.uint32, default=0) + model.agents.add_scalar_property("doi", dtype=np.uint32, default=0) return def census(self, model, tick) -> None: patches = model.patches - population = model.population + agents = model.agents contagion = patches.cases[tick, :] # we will accumulate current infections into this view into the cases array - if hasattr(population, "itimer"): - condition = population.itimer[0 : population.count] > 0 # just look at the active agent indices + if hasattr(agents, "itimer"): + condition = agents.itimer[0 : agents.count] > 0 # just look at the active agent indices else: - condition = population.susceptibility[0 : population.count] == 0 # just look at the active agent indices + condition = agents.susceptibility[0 : agents.count] == 0 # just look at the active agent indices if len(patches) == 1: np.add(contagion, np.count_nonzero(condition), out=contagion) # add.at takes a lot of time when n_infections is large else: - nodeids = population.nodeid[0 : population.count] # just look at the active agent indices + nodeids = agents.nodeid[0 : agents.count] # just look at the active agent indices np.add.at(contagion, nodeids[condition], np.uint32(1)) # increment by the number of active agents with non-zero itimer return @@ -89,11 +89,11 @@ def __call__(self, model, tick) -> None: through the population and patches. It calculates the contagion, handles the migration of infections between patches, and updates the forces of infection based on the effective transmission rate and seasonality factors. Finally, it - updates the infected state of the population. + updates the infected state of the agents. Parameters: - model (object): The model object containing the population, patches, and parameters. + model (object): The model object containing the agents, patches, and parameters. tick (int): The current time step in the simulation. Returns: @@ -102,7 +102,7 @@ def __call__(self, model, tick) -> None: """ patches = model.patches - population = model.population + agents = model.agents contagion = patches.cases[tick, :] # we will accumulate current infections into this view into the cases array @@ -129,41 +129,41 @@ def __call__(self, model, tick) -> None: # We should refactor this to be more general and flexible. # First, find a way to allow user to parametrize the timer distributions rather than hard-coding here. # For example, the "_exposed" & "_noexposed" functions have the same signature but a different timer distribution. - # Second, maybe there's a way to overload the update function so we don't have to switch on the population attributes. + # Second, maybe there's a way to overload the update function so we don't have to switch on the agents attributes. - if hasattr(population, "etimer"): + if hasattr(agents, "etimer"): Transmission.nb_transmission_update_exposed( - population.susceptibility, - population.nodeid, + agents.susceptibility, + agents.nodeid, forces, - population.etimer, - population.count, + agents.etimer, + agents.count, model.params.exp_shape, model.params.exp_scale, model.patches.incidence[tick, :], - population.doi, + agents.doi, tick, ) - elif hasattr(population, "itimer"): + elif hasattr(agents, "itimer"): Transmission.nb_transmission_update_noexposed( - population.susceptibility, - population.nodeid, + agents.susceptibility, + agents.nodeid, forces, - population.itimer, - population.count, + agents.itimer, + agents.count, model.params.inf_mean, model.patches.incidence[tick, :], - population.doi, + agents.doi, tick, ) else: Transmission.nb_transmission_update_SI( - population.susceptibility, - population.nodeid, + agents.susceptibility, + agents.nodeid, forces, - population.count, + agents.count, model.patches.incidence[tick, :], - population.doi, + agents.doi, tick, ) @@ -267,10 +267,10 @@ def on_birth(self, model, _tick, istart, iend) -> None: Args: - model: The simulation model containing the population data. + model: The simulation model containing the agent data. tick: The current tick or time step in the simulation (unused in this function). - istart: The starting index of the newborns in the population array. - iend: The ending index of the newborns in the population array. + istart: The starting index of the newborns in the agents array. + iend: The ending index of the newborns in the agents array. Returns: @@ -278,9 +278,9 @@ def on_birth(self, model, _tick, istart, iend) -> None: """ if iend is not None: - model.population.doi[istart:iend] = 0 + model.agents.doi[istart:iend] = 0 else: - model.population.doi[istart] = 0 + model.agents.doi[istart] = 0 return def plot(self, fig: Figure = None): @@ -343,11 +343,11 @@ def __call__(self, model, tick) -> None: through the population and patches. It calculates the contagion, handles the migration of infections between patches, and updates the forces of infection based on the effective transmission rate and seasonality factors. Finally, it - updates the infected state of the population. + updates the infected state of the agents. Parameters: - model (object): The model object containing the population, patches, and parameters. + model (object): The model object containing the agents, patches, and parameters. tick (int): The current time step in the simulation. Returns: @@ -355,15 +355,15 @@ def __call__(self, model, tick) -> None: None """ patches = model.patches - population = model.population + agents = model.agents contagion = patches.cases[tick, :] - condition = population.susceptibility[0 : population.count] == 0 + condition = agents.susceptibility[0 : agents.count] == 0 if len(patches) == 1: np.add(contagion, np.sum(condition), out=contagion) else: - nodeids = population.nodeid[0 : population.count] + nodeids = agents.nodeid[0 : agents.count] np.add.at(contagion, nodeids[condition], 1) if hasattr(patches, "network"): @@ -382,14 +382,14 @@ def __call__(self, model, tick) -> None: np.negative(forces, out=forces) Transmission.nb_transmission_update_noexposed( - population.susceptibility, - population.nodeid, + agents.susceptibility, + agents.nodeid, forces, - population.itimer, - population.count, + agents.itimer, + agents.count, model.params.inf_mean, model.patches.incidence[tick, :], - population.doi, + agents.doi, tick, ) diff --git a/src/laser_generic/utils.py b/src/laser_generic/utils.py index cd1a97f..e984303 100644 --- a/src/laser_generic/utils.py +++ b/src/laser_generic/utils.py @@ -115,9 +115,9 @@ def seed_infections_randomly_SI(model, ninfections: int = 100) -> None: # Seed initial infections in random locations at the start of the simulation cinfections = 0 while cinfections < ninfections: - index = model.prng.integers(0, model.population.count) - if model.population.susceptibility[index] > 0: - model.population.susceptibility[index] = 0 + index = model.prng.integers(0, model.agents.count) + if model.agents.susceptibility[index] > 0: + model.agents.susceptibility[index] = 0 cinfections += 1 return @@ -143,10 +143,10 @@ def seed_infections_randomly(model, ninfections: int = 100) -> None: # Seed initial infections in random locations at the start of the simulation cinfections = 0 while cinfections < ninfections: - index = model.prng.integers(0, model.population.count) - if model.population.susceptibility[index] > 0: - model.population.susceptibility[index] = 0 - model.population.itimer[index] = np.random.exponential(model.params.inf_mean) + index = model.prng.integers(0, model.agents.count) + if model.agents.susceptibility[index] > 0: + model.agents.susceptibility[index] = 0 + model.agents.itimer[index] = np.random.exponential(model.params.inf_mean) cinfections += 1 return @@ -171,11 +171,11 @@ def seed_infections_in_patch(model, ipatch: int, ninfections: int = 1) -> None: """ # Seed initial infections in a specific location at the start of the simulation - myinds = np.where((model.population.susceptibility > 0) & (model.population.nodeid == ipatch))[0] + myinds = np.where((model.agents.susceptibility > 0) & (model.agents.nodeid == ipatch))[0] if len(myinds) > ninfections: myinds = np.random.choice(myinds, ninfections, replace=False) - model.population.itimer[myinds] = model.params.inf_mean - model.population.susceptibility[myinds] = 0 + model.agents.itimer[myinds] = model.params.inf_mean + model.agents.susceptibility[myinds] = 0 return @@ -198,9 +198,9 @@ def set_initial_susceptibility_in_patch(model, ipatch: int, susc_frac: float = 1 """ # Seed initial infections in random locations at the start of the simulation - indices = np.squeeze(np.where(model.population.nodeid == ipatch)) + indices = np.squeeze(np.where(model.agents.nodeid == ipatch)) patch_indices = model.prng.choice(indices, int(len(indices) * (1 - susc_frac)), replace=False) - model.population.susceptibility[patch_indices] = 0 + model.agents.susceptibility[patch_indices] = 0 return @@ -222,8 +222,8 @@ def set_initial_susceptibility_randomly(model, susc_frac: float = 1.0) -> None: """ # Seed initial infections in random locations at the start of the simulation - indices = model.prng.choice(model.population.count, int(model.population.count * (1 - susc_frac)), replace=False) - model.population.susceptibility[indices] = 0 + indices = model.prng.choice(model.agents.count, int(model.agents.count * (1 - susc_frac)), replace=False) + model.agents.susceptibility[indices] = 0 return