{ "cells": [ { "cell_type": "markdown", "id": "49bcb5b0-f19d-4b96-a5f1-e0ae30f66d8f", "metadata": {}, "source": [ "# From finer to coarser resolution in advancing the two coupled reactions: \n", "### `2 S <-> U` and `S <-> X` (both mostly forward)\n", "\n", "1st-order kinetics throughout. \n", "\n", "Notes: \n", "* for an exploration of instabilities, see the experiment `negative_concentrations_1`\n", "* for an accurate longer run of the same reactions (with the same initial conditions), see the experiment \"up_regulate_3\"\n", "\n", "LAST REVISED: Dec. 3, 2023 **THIS IS AN ARCHIVED EXPERIMENT**" ] }, { "cell_type": "markdown", "id": "2f3bfe09-c34c-49cb-8ba6-400c80b75843", "metadata": {}, "source": [ "# IMPORTANT: DO NOT ATTEMPT TO RUN THIS NOTEBOOK! \n", "## This is a **\"frozen run\"** that depends on an old version of Life123, for demonstration purposes \n", "#### (newer versions of Life123 tend to recover from instability more gracefully!!) \n", "If you bypass the execution exit in the first cell, and run the other cells, you WILL NOT REPLICATE the results below!" ] }, { "cell_type": "code", "execution_count": 1, "id": "959750cf-69cf-4671-bf03-95720d97bb4c", "metadata": {}, "outputs": [ { "ename": "StopExecution", "evalue": "", "output_type": "error", "traceback": [] } ], "source": [ "# To stop the current and subsequent cells: USED TO PREVENT ACCIDENTAL RUNS OF THIS NOTEBOOK!\n", "\n", "class StopExecution(Exception):\n", " def _render_traceback_(self):\n", " return []\n", "\n", "raise StopExecution # See: https://stackoverflow.com/a/56953105/5478830" ] }, { "cell_type": "code", "execution_count": null, "id": "928bb734-73d6-4b0c-ac0b-171cb249c0f2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "baaa9251-5d8d-455c-8a40-79b2bc9d9581", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "f2205e67", "metadata": { "tags": [] }, "outputs": [], "source": [ "from experiments.get_notebook_info import get_notebook_basename\n", "\n", "from src.modules.chemicals.chem_data import ChemData as chem\n", "from src.modules.reactions.reaction_dynamics import ReactionDynamics\n", "\n", "from src.modules.visualization.graphic_log import GraphicLog" ] }, { "cell_type": "code", "execution_count": 3, "id": "cc53849f-351d-49e0-bfa8-22f8d8e22f8e", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-> Output will be LOGGED into the file 'large_time_steps_2.log.htm'\n" ] } ], "source": [ "# Initialize the HTML logging\n", "log_file = get_notebook_basename() + \".log.htm\" # Use the notebook base filename for the log file\n", "\n", "# Set up the use of some specified graphic (Vue) components\n", "GraphicLog.config(filename=log_file,\n", " components=[\"vue_cytoscape_1\"],\n", " extra_js=\"https://cdnjs.cloudflare.com/ajax/libs/cytoscape/3.21.2/cytoscape.umd.js\")" ] }, { "cell_type": "markdown", "id": "d6d3ca49-589d-49b7-8424-37c7b01bcacf", "metadata": {}, "source": [ "### Initialize the system" ] }, { "cell_type": "code", "execution_count": 4, "id": "23c15e66-52e4-495b-aa3d-ecddd8d16942", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of reactions: 2 (at temp. 25 C)\n", "0: 2 S <-> U (kF = 8 / kR = 2 / Delta_G = -3,436.56 / K = 4) | 1st order in all reactants & products\n", "1: S <-> X (kF = 6 / kR = 3 / Delta_G = -1,718.28 / K = 2) | 1st order in all reactants & products\n", "[GRAPHIC ELEMENT SENT TO LOG FILE `large_time_steps_2.log.htm`]\n" ] } ], "source": [ "# Initialize the system\n", "chem_data = chem(names=[\"U\", \"X\", \"S\"])\n", "\n", "# Reaction 2 S <-> U , with 1st-order kinetics for all species (mostly forward)\n", "chem_data.add_reaction(reactants=[(2, \"S\")], products=\"U\",\n", " forward_rate=8., reverse_rate=2.)\n", "\n", "# Reaction S <-> X , with 1st-order kinetics for all species (mostly forward)\n", "chem_data.add_reaction(reactants=\"S\", products=\"X\",\n", " forward_rate=6., reverse_rate=3.)\n", "\n", "chem_data.describe_reactions()\n", "\n", "# Send the plot of the reaction network to the HTML log file\n", "graph_data = chem_data.prepare_graph_network()\n", "GraphicLog.export_plot(graph_data, \"vue_cytoscape_1\")" ] }, { "cell_type": "markdown", "id": "ebbd7aab-2456-40de-981b-f1f36970450c", "metadata": {}, "source": [ "# Run 1 : extremely small fixed time steps (no substeps)" ] }, { "cell_type": "code", "execution_count": 5, "id": "01ab7066-ce52-4c37-9608-b2cea9a1afac", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "800 total step(s) taken\n", "From time 0 to 0.8, in 800 FULL steps of 0.001\n", "(for a grand total of the equivalent of 800 FULL steps)\n" ] } ], "source": [ "dynamics = ReactionDynamics(chem_data=chem_data)\n", "dynamics.set_conc(conc={\"U\": 50., \"X\": 100., \"S\": 0.})\n", "#dynamics.describe_state()\n", "\n", "dynamics.set_diagnostics() # To save diagnostic information about the call to single_compartment_react()\n", "\n", "dynamics.single_compartment_react(time_step=0.001, stop_time=0.8)\n", "\n", "df = dynamics.get_history()\n", "#df\n", "dynamics.explain_time_advance()" ] }, { "cell_type": "code", "execution_count": 6, "id": "555ff38c-9305-40b5-b047-d8417477d2c0", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Chemical=U
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "U", "line": { "color": "green", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "U", "showlegend": true, "type": "scattergl", "x": [ 0, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009000000000000001, 0.010000000000000002, 0.011000000000000003, 0.012000000000000004, 0.013000000000000005, 0.014000000000000005, 0.015000000000000006, 0.016000000000000007, 0.017000000000000008, 0.01800000000000001, 0.01900000000000001, 0.02000000000000001, 0.02100000000000001, 0.022000000000000013, 0.023000000000000013, 0.024000000000000014, 0.025000000000000015, 0.026000000000000016, 0.027000000000000017, 0.028000000000000018, 0.02900000000000002, 0.03000000000000002, 0.03100000000000002, 0.03200000000000002, 0.03300000000000002, 0.03400000000000002, 0.035000000000000024, 0.036000000000000025, 0.037000000000000026, 0.03800000000000003, 0.03900000000000003, 0.04000000000000003, 0.04100000000000003, 0.04200000000000003, 0.04300000000000003, 0.04400000000000003, 0.04500000000000003, 0.046000000000000034, 0.047000000000000035, 0.048000000000000036, 0.04900000000000004, 0.05000000000000004, 0.05100000000000004, 0.05200000000000004, 0.05300000000000004, 0.05400000000000004, 0.05500000000000004, 0.05600000000000004, 0.057000000000000044, 0.058000000000000045, 0.059000000000000045, 0.060000000000000046, 0.06100000000000005, 0.06200000000000005, 0.06300000000000004, 0.06400000000000004, 0.06500000000000004, 0.06600000000000004, 0.06700000000000005, 0.06800000000000005, 0.06900000000000005, 0.07000000000000005, 0.07100000000000005, 0.07200000000000005, 0.07300000000000005, 0.07400000000000005, 0.07500000000000005, 0.07600000000000005, 0.07700000000000005, 0.07800000000000006, 0.07900000000000006, 0.08000000000000006, 0.08100000000000006, 0.08200000000000006, 0.08300000000000006, 0.08400000000000006, 0.08500000000000006, 0.08600000000000006, 0.08700000000000006, 0.08800000000000006, 0.08900000000000007, 0.09000000000000007, 0.09100000000000007, 0.09200000000000007, 0.09300000000000007, 0.09400000000000007, 0.09500000000000007, 0.09600000000000007, 0.09700000000000007, 0.09800000000000007, 0.09900000000000007, 0.10000000000000007, 0.10100000000000008, 0.10200000000000008, 0.10300000000000008, 0.10400000000000008, 0.10500000000000008, 0.10600000000000008, 0.10700000000000008, 0.10800000000000008, 0.10900000000000008, 0.11000000000000008, 0.11100000000000008, 0.11200000000000009, 0.11300000000000009, 0.11400000000000009, 0.11500000000000009, 0.11600000000000009, 0.11700000000000009, 0.11800000000000009, 0.11900000000000009, 0.12000000000000009, 0.1210000000000001, 0.1220000000000001, 0.1230000000000001, 0.1240000000000001, 0.12500000000000008, 0.12600000000000008, 0.12700000000000009, 0.12800000000000009, 0.1290000000000001, 0.1300000000000001, 0.1310000000000001, 0.1320000000000001, 0.1330000000000001, 0.1340000000000001, 0.1350000000000001, 0.1360000000000001, 0.1370000000000001, 0.1380000000000001, 0.1390000000000001, 0.1400000000000001, 0.1410000000000001, 0.1420000000000001, 0.1430000000000001, 0.1440000000000001, 0.1450000000000001, 0.1460000000000001, 0.1470000000000001, 0.1480000000000001, 0.1490000000000001, 0.1500000000000001, 0.1510000000000001, 0.1520000000000001, 0.1530000000000001, 0.1540000000000001, 0.1550000000000001, 0.1560000000000001, 0.1570000000000001, 0.1580000000000001, 0.1590000000000001, 0.16000000000000011, 0.16100000000000012, 0.16200000000000012, 0.16300000000000012, 0.16400000000000012, 0.16500000000000012, 0.16600000000000012, 0.16700000000000012, 0.16800000000000012, 0.16900000000000012, 0.17000000000000012, 0.17100000000000012, 0.17200000000000013, 0.17300000000000013, 0.17400000000000013, 0.17500000000000013, 0.17600000000000013, 0.17700000000000013, 0.17800000000000013, 0.17900000000000013, 0.18000000000000013, 0.18100000000000013, 0.18200000000000013, 0.18300000000000013, 0.18400000000000014, 0.18500000000000014, 0.18600000000000014, 0.18700000000000014, 0.18800000000000014, 0.18900000000000014, 0.19000000000000014, 0.19100000000000014, 0.19200000000000014, 0.19300000000000014, 0.19400000000000014, 0.19500000000000015, 0.19600000000000015, 0.19700000000000015, 0.19800000000000015, 0.19900000000000015, 0.20000000000000015, 0.20100000000000015, 0.20200000000000015, 0.20300000000000015, 0.20400000000000015, 0.20500000000000015, 0.20600000000000016, 0.20700000000000016, 0.20800000000000016, 0.20900000000000016, 0.21000000000000016, 0.21100000000000016, 0.21200000000000016, 0.21300000000000016, 0.21400000000000016, 0.21500000000000016, 0.21600000000000016, 0.21700000000000016, 0.21800000000000017, 0.21900000000000017, 0.22000000000000017, 0.22100000000000017, 0.22200000000000017, 0.22300000000000017, 0.22400000000000017, 0.22500000000000017, 0.22600000000000017, 0.22700000000000017, 0.22800000000000017, 0.22900000000000018, 0.23000000000000018, 0.23100000000000018, 0.23200000000000018, 0.23300000000000018, 0.23400000000000018, 0.23500000000000018, 0.23600000000000018, 0.23700000000000018, 0.23800000000000018, 0.23900000000000018, 0.24000000000000019, 0.2410000000000002, 0.2420000000000002, 0.2430000000000002, 0.2440000000000002, 0.2450000000000002, 0.2460000000000002, 0.2470000000000002, 0.2480000000000002, 0.2490000000000002, 0.25000000000000017, 0.25100000000000017, 0.25200000000000017, 0.25300000000000017, 0.25400000000000017, 0.25500000000000017, 0.25600000000000017, 0.2570000000000002, 0.2580000000000002, 0.2590000000000002, 0.2600000000000002, 0.2610000000000002, 0.2620000000000002, 0.2630000000000002, 0.2640000000000002, 0.2650000000000002, 0.2660000000000002, 0.2670000000000002, 0.2680000000000002, 0.2690000000000002, 0.2700000000000002, 0.2710000000000002, 0.2720000000000002, 0.2730000000000002, 0.2740000000000002, 0.2750000000000002, 0.2760000000000002, 0.2770000000000002, 0.2780000000000002, 0.2790000000000002, 0.2800000000000002, 0.2810000000000002, 0.2820000000000002, 0.2830000000000002, 0.2840000000000002, 0.2850000000000002, 0.2860000000000002, 0.2870000000000002, 0.2880000000000002, 0.2890000000000002, 0.2900000000000002, 0.2910000000000002, 0.2920000000000002, 0.2930000000000002, 0.2940000000000002, 0.2950000000000002, 0.2960000000000002, 0.2970000000000002, 0.2980000000000002, 0.2990000000000002, 0.3000000000000002, 0.3010000000000002, 0.3020000000000002, 0.3030000000000002, 0.3040000000000002, 0.3050000000000002, 0.3060000000000002, 0.3070000000000002, 0.3080000000000002, 0.3090000000000002, 0.3100000000000002, 0.3110000000000002, 0.3120000000000002, 0.3130000000000002, 0.3140000000000002, 0.3150000000000002, 0.3160000000000002, 0.3170000000000002, 0.3180000000000002, 0.31900000000000023, 0.32000000000000023, 0.32100000000000023, 0.32200000000000023, 0.32300000000000023, 0.32400000000000023, 0.32500000000000023, 0.32600000000000023, 0.32700000000000023, 0.32800000000000024, 0.32900000000000024, 0.33000000000000024, 0.33100000000000024, 0.33200000000000024, 0.33300000000000024, 0.33400000000000024, 0.33500000000000024, 0.33600000000000024, 0.33700000000000024, 0.33800000000000024, 0.33900000000000025, 0.34000000000000025, 0.34100000000000025, 0.34200000000000025, 0.34300000000000025, 0.34400000000000025, 0.34500000000000025, 0.34600000000000025, 0.34700000000000025, 0.34800000000000025, 0.34900000000000025, 0.35000000000000026, 0.35100000000000026, 0.35200000000000026, 0.35300000000000026, 0.35400000000000026, 0.35500000000000026, 0.35600000000000026, 0.35700000000000026, 0.35800000000000026, 0.35900000000000026, 0.36000000000000026, 0.36100000000000027, 0.36200000000000027, 0.36300000000000027, 0.36400000000000027, 0.36500000000000027, 0.36600000000000027, 0.36700000000000027, 0.36800000000000027, 0.36900000000000027, 0.3700000000000003, 0.3710000000000003, 0.3720000000000003, 0.3730000000000003, 0.3740000000000003, 0.3750000000000003, 0.3760000000000003, 0.3770000000000003, 0.3780000000000003, 0.3790000000000003, 0.3800000000000003, 0.3810000000000003, 0.3820000000000003, 0.3830000000000003, 0.3840000000000003, 0.3850000000000003, 0.3860000000000003, 0.3870000000000003, 0.3880000000000003, 0.3890000000000003, 0.3900000000000003, 0.3910000000000003, 0.3920000000000003, 0.3930000000000003, 0.3940000000000003, 0.3950000000000003, 0.3960000000000003, 0.3970000000000003, 0.3980000000000003, 0.3990000000000003, 0.4000000000000003, 0.4010000000000003, 0.4020000000000003, 0.4030000000000003, 0.4040000000000003, 0.4050000000000003, 0.4060000000000003, 0.4070000000000003, 0.4080000000000003, 0.4090000000000003, 0.4100000000000003, 0.4110000000000003, 0.4120000000000003, 0.4130000000000003, 0.4140000000000003, 0.4150000000000003, 0.4160000000000003, 0.4170000000000003, 0.4180000000000003, 0.4190000000000003, 0.4200000000000003, 0.4210000000000003, 0.4220000000000003, 0.4230000000000003, 0.4240000000000003, 0.4250000000000003, 0.4260000000000003, 0.4270000000000003, 0.4280000000000003, 0.4290000000000003, 0.4300000000000003, 0.4310000000000003, 0.43200000000000033, 0.43300000000000033, 0.43400000000000033, 0.43500000000000033, 0.43600000000000033, 0.43700000000000033, 0.43800000000000033, 0.43900000000000033, 0.44000000000000034, 0.44100000000000034, 0.44200000000000034, 0.44300000000000034, 0.44400000000000034, 0.44500000000000034, 0.44600000000000034, 0.44700000000000034, 0.44800000000000034, 0.44900000000000034, 0.45000000000000034, 0.45100000000000035, 0.45200000000000035, 0.45300000000000035, 0.45400000000000035, 0.45500000000000035, 0.45600000000000035, 0.45700000000000035, 0.45800000000000035, 0.45900000000000035, 0.46000000000000035, 0.46100000000000035, 0.46200000000000035, 0.46300000000000036, 0.46400000000000036, 0.46500000000000036, 0.46600000000000036, 0.46700000000000036, 0.46800000000000036, 0.46900000000000036, 0.47000000000000036, 0.47100000000000036, 0.47200000000000036, 0.47300000000000036, 0.47400000000000037, 0.47500000000000037, 0.47600000000000037, 0.47700000000000037, 0.47800000000000037, 0.47900000000000037, 0.48000000000000037, 0.48100000000000037, 0.4820000000000004, 0.4830000000000004, 0.4840000000000004, 0.4850000000000004, 0.4860000000000004, 0.4870000000000004, 0.4880000000000004, 0.4890000000000004, 0.4900000000000004, 0.4910000000000004, 0.4920000000000004, 0.4930000000000004, 0.4940000000000004, 0.4950000000000004, 0.4960000000000004, 0.4970000000000004, 0.4980000000000004, 0.4990000000000004, 0.5000000000000003, 0.5010000000000003, 0.5020000000000003, 0.5030000000000003, 0.5040000000000003, 0.5050000000000003, 0.5060000000000003, 0.5070000000000003, 0.5080000000000003, 0.5090000000000003, 0.5100000000000003, 0.5110000000000003, 0.5120000000000003, 0.5130000000000003, 0.5140000000000003, 0.5150000000000003, 0.5160000000000003, 0.5170000000000003, 0.5180000000000003, 0.5190000000000003, 0.5200000000000004, 0.5210000000000004, 0.5220000000000004, 0.5230000000000004, 0.5240000000000004, 0.5250000000000004, 0.5260000000000004, 0.5270000000000004, 0.5280000000000004, 0.5290000000000004, 0.5300000000000004, 0.5310000000000004, 0.5320000000000004, 0.5330000000000004, 0.5340000000000004, 0.5350000000000004, 0.5360000000000004, 0.5370000000000004, 0.5380000000000004, 0.5390000000000004, 0.5400000000000004, 0.5410000000000004, 0.5420000000000004, 0.5430000000000004, 0.5440000000000004, 0.5450000000000004, 0.5460000000000004, 0.5470000000000004, 0.5480000000000004, 0.5490000000000004, 0.5500000000000004, 0.5510000000000004, 0.5520000000000004, 0.5530000000000004, 0.5540000000000004, 0.5550000000000004, 0.5560000000000004, 0.5570000000000004, 0.5580000000000004, 0.5590000000000004, 0.5600000000000004, 0.5610000000000004, 0.5620000000000004, 0.5630000000000004, 0.5640000000000004, 0.5650000000000004, 0.5660000000000004, 0.5670000000000004, 0.5680000000000004, 0.5690000000000004, 0.5700000000000004, 0.5710000000000004, 0.5720000000000004, 0.5730000000000004, 0.5740000000000004, 0.5750000000000004, 0.5760000000000004, 0.5770000000000004, 0.5780000000000004, 0.5790000000000004, 0.5800000000000004, 0.5810000000000004, 0.5820000000000004, 0.5830000000000004, 0.5840000000000004, 0.5850000000000004, 0.5860000000000004, 0.5870000000000004, 0.5880000000000004, 0.5890000000000004, 0.5900000000000004, 0.5910000000000004, 0.5920000000000004, 0.5930000000000004, 0.5940000000000004, 0.5950000000000004, 0.5960000000000004, 0.5970000000000004, 0.5980000000000004, 0.5990000000000004, 0.6000000000000004, 0.6010000000000004, 0.6020000000000004, 0.6030000000000004, 0.6040000000000004, 0.6050000000000004, 0.6060000000000004, 0.6070000000000004, 0.6080000000000004, 0.6090000000000004, 0.6100000000000004, 0.6110000000000004, 0.6120000000000004, 0.6130000000000004, 0.6140000000000004, 0.6150000000000004, 0.6160000000000004, 0.6170000000000004, 0.6180000000000004, 0.6190000000000004, 0.6200000000000004, 0.6210000000000004, 0.6220000000000004, 0.6230000000000004, 0.6240000000000004, 0.6250000000000004, 0.6260000000000004, 0.6270000000000004, 0.6280000000000004, 0.6290000000000004, 0.6300000000000004, 0.6310000000000004, 0.6320000000000005, 0.6330000000000005, 0.6340000000000005, 0.6350000000000005, 0.6360000000000005, 0.6370000000000005, 0.6380000000000005, 0.6390000000000005, 0.6400000000000005, 0.6410000000000005, 0.6420000000000005, 0.6430000000000005, 0.6440000000000005, 0.6450000000000005, 0.6460000000000005, 0.6470000000000005, 0.6480000000000005, 0.6490000000000005, 0.6500000000000005, 0.6510000000000005, 0.6520000000000005, 0.6530000000000005, 0.6540000000000005, 0.6550000000000005, 0.6560000000000005, 0.6570000000000005, 0.6580000000000005, 0.6590000000000005, 0.6600000000000005, 0.6610000000000005, 0.6620000000000005, 0.6630000000000005, 0.6640000000000005, 0.6650000000000005, 0.6660000000000005, 0.6670000000000005, 0.6680000000000005, 0.6690000000000005, 0.6700000000000005, 0.6710000000000005, 0.6720000000000005, 0.6730000000000005, 0.6740000000000005, 0.6750000000000005, 0.6760000000000005, 0.6770000000000005, 0.6780000000000005, 0.6790000000000005, 0.6800000000000005, 0.6810000000000005, 0.6820000000000005, 0.6830000000000005, 0.6840000000000005, 0.6850000000000005, 0.6860000000000005, 0.6870000000000005, 0.6880000000000005, 0.6890000000000005, 0.6900000000000005, 0.6910000000000005, 0.6920000000000005, 0.6930000000000005, 0.6940000000000005, 0.6950000000000005, 0.6960000000000005, 0.6970000000000005, 0.6980000000000005, 0.6990000000000005, 0.7000000000000005, 0.7010000000000005, 0.7020000000000005, 0.7030000000000005, 0.7040000000000005, 0.7050000000000005, 0.7060000000000005, 0.7070000000000005, 0.7080000000000005, 0.7090000000000005, 0.7100000000000005, 0.7110000000000005, 0.7120000000000005, 0.7130000000000005, 0.7140000000000005, 0.7150000000000005, 0.7160000000000005, 0.7170000000000005, 0.7180000000000005, 0.7190000000000005, 0.7200000000000005, 0.7210000000000005, 0.7220000000000005, 0.7230000000000005, 0.7240000000000005, 0.7250000000000005, 0.7260000000000005, 0.7270000000000005, 0.7280000000000005, 0.7290000000000005, 0.7300000000000005, 0.7310000000000005, 0.7320000000000005, 0.7330000000000005, 0.7340000000000005, 0.7350000000000005, 0.7360000000000005, 0.7370000000000005, 0.7380000000000005, 0.7390000000000005, 0.7400000000000005, 0.7410000000000005, 0.7420000000000005, 0.7430000000000005, 0.7440000000000005, 0.7450000000000006, 0.7460000000000006, 0.7470000000000006, 0.7480000000000006, 0.7490000000000006, 0.7500000000000006, 0.7510000000000006, 0.7520000000000006, 0.7530000000000006, 0.7540000000000006, 0.7550000000000006, 0.7560000000000006, 0.7570000000000006, 0.7580000000000006, 0.7590000000000006, 0.7600000000000006, 0.7610000000000006, 0.7620000000000006, 0.7630000000000006, 0.7640000000000006, 0.7650000000000006, 0.7660000000000006, 0.7670000000000006, 0.7680000000000006, 0.7690000000000006, 0.7700000000000006, 0.7710000000000006, 0.7720000000000006, 0.7730000000000006, 0.7740000000000006, 0.7750000000000006, 0.7760000000000006, 0.7770000000000006, 0.7780000000000006, 0.7790000000000006, 0.7800000000000006, 0.7810000000000006, 0.7820000000000006, 0.7830000000000006, 0.7840000000000006, 0.7850000000000006, 0.7860000000000006, 0.7870000000000006, 0.7880000000000006, 0.7890000000000006, 0.7900000000000006, 0.7910000000000006, 0.7920000000000006, 0.7930000000000006, 0.7940000000000006, 0.7950000000000006, 0.7960000000000006, 0.7970000000000006, 0.7980000000000006, 0.7990000000000006, 0.8000000000000006 ], "xaxis": "x", "y": [ 50, 49.9, 49.8042, 49.712493200000004, 49.624775406400005, 49.540944968676, 49.460902717593726, 49.38455190492274, 49.31179814461451, 49.242549355408876, 49.17671570483425, 49.11420955456769, 49.0549454071218, 48.99883985382635, 48.945811524073, 48.895781035792645, 48.84867094713527, 48.80440570932328, 48.7629116206497, 48.7241167815935, 48.687951051024854, 48.65434600347397, 48.62323488743759, 48.594552584697965, 48.56823557062974, 48.54422187547077, 48.522451046533426, 48.502864111333615, 48.48540354161513, 48.470013218247686, 48.45663839697742, 48.44522567500905, 48.43572295839962, 48.4280794302441, 48.42224551963352, 48.418172871367034, 48.41581431639945, 48.41512384300648, 48.41605656865023, 48.41856871252796, 48.42261756878746, 48.42816148039293, 48.43515981362551, 48.44357293320311, 48.45336217800441, 48.46448983738249, 48.47691912805361, 48.49061417154734, 48.50553997220429, 48.52166239570818, 48.5389481481393, 48.55736475553666, 48.57688054395652, 48.597464620015174, 48.61908685190434, 48.641717850867586, 48.6653289531266, 48.689892202246455, 48.71538033192917, 48.7417667492251, 48.769025518152134, 48.79713134371269, 48.826059556298915, 48.85578609647663, 48.88628750013883, 48.91754088401978, 48.94952393156093, 48.98221487912013, 49.015592502515744, 49.04963610389766, 49.0843254989371, 49.11964100432761, 49.155563425589655, 49.19207404517134, 49.22915461083822, 49.266787324345124, 49.30495483038302, 49.343640205794486, 49.38282694905104, 49.42249896998608, 49.462640579777236, 49.50323648117202, 49.54427175895087, 49.58573187062194, 49.6276026373418, 49.66987023505676, 49.71252118585936, 49.755542349554766, 49.798920915432134, 49.84264439423574, 49.88670061033123, 49.931077694062125, 49.975764074292, 50.02074847112787, 50.06601988882026, 50.11156760883586, 50.15738118309838, 50.203450427393626, 50.24976541493482, 50.29631647008419, 50.343094162227146, 50.390089299795214, 50.43729292443424, 50.48469630531422, 50.532290933577436, 50.580068516921386, 50.628020974313436, 50.67614043083378, 50.724419212643774, 50.77284984207646, 50.821425032846435, 50.87013768537604, 50.918980882235175, 50.967947883691885, 51.01703212337103, 51.06622720401852, 51.11552689336838, 51.16492512011033, 51.21441596995529, 51.26399368179651, 51.31365264396399, 51.363387390569955, 51.41319259794306, 51.46306308114931, 51.51299379059753, 51.562979808727285, 51.613016346777364, 51.663098741632716, 51.713222452748084, 51.76338305914639, 51.81357625649006, 51.86379785422354, 51.9140437727853, 51.964310040887504, 52.01459279286195, 52.06488826607038, 52.11519279837786, 52.165502825687476, 52.21581487953504, 52.26612558474222, 52.31643165712676, 52.36672990126833, 52.4170172083287, 52.46729055392496, 52.51754699605437, 52.56778367306973, 52.61799780170393, 52.668186675142586, 52.71834766114349, 52.768478200201805, 52.81857580375991, 52.86863805246074, 52.918662594443596, 52.96864714368145, 53.01858947835865, 53.068487439288084, 53.11833892836685, 53.1681419070695, 53.2178943949779, 53.26759446834691, 53.317240258704885, 53.366829951488285, 53.41636178470946, 53.46583404765686, 53.515245079626894, 53.56459326868659, 53.61387705046642, 53.663094906982465, 53.71224536548724, 53.76132699734853, 53.810338416955446, 53.85927828065115, 53.908145285691546, 53.95693816922933, 54.00565570732274, 54.054296713968455, 54.102860040158056, 54.15134457295741, 54.19974923460854, 54.248072981653266, 54.2963148040783, 54.34447372448107, 54.3925487972559, 54.44053910779999, 54.48844377173877, 54.53626193417009, 54.583992768926834, 54.631635477857486, 54.67918929012426, 54.726653461518296, 54.774027273791546, 54.82131003400495, 54.86850107389253, 54.9155997492409, 54.96260543928398, 55.009517546112455, 55.05633549409757, 55.103058729329035, 55.14968671906664, 55.1962189512052, 55.24265493375256, 55.28899419432036, 55.3352362796272, 55.381380755013936, 55.42742720397077, 55.473375227675945, 55.519224444545614, 55.56497448979477, 55.610625015008864, 55.65617568772585, 55.70162619102849, 55.74697622314656, 55.79222549706884, 55.837373740164495, 55.882420693813756, 55.92736611304764, 55.972209766196414, 56.01695143454671, 56.061590912006984, 56.10612800478115, 56.15056253105021, 56.194894320661696, 56.23912321482662, 56.28324906582393, 56.327271736712134, 56.37119110104801, 56.415007042612196, 56.45871945514148, 56.502328242067655, 56.545833316262794, 56.589234599790686, 56.63253202366445, 56.67572552761004, 56.718815059835535, 56.76180057680612, 56.80468204302454, 56.847459430817004, 56.89013272012423, 56.93270189829772, 56.975166959901, 57.01752790651571, 57.05978474655247, 57.1019374950664, 57.14398617357719, 57.18593080989351, 57.22777143794183, 57.2695080975994, 57.31114083453131, 57.35266970003161, 57.39409475086833, 57.43541604913225, 57.47663366208949, 57.51774766203764, 57.55875812616549, 57.5996651364162, 57.64046877935381, 57.6811691460331, 57.721766331872615, 57.76226043653082, 57.80265156378536, 57.842939821415214, 57.88312532108585, 57.92320817823716, 57.963188511974195, 58.00306644496057, 58.04284210331452, 58.08251561650755, 58.122087117265544, 58.16155674147238, 58.200924628075896, 58.24019091899618, 58.279355759036164, 58.31841929579441, 58.357381679580094, 58.39624306333004, 58.435003602527885, 58.473663455125205, 58.51222278146464, 58.550681744204866, 58.58904050824753, 58.62729924066592, 58.66545811063547, 58.70351728936596, 58.74147695003543, 58.779337267725715, 58.81709841935967, 58.85476058363983, 58.89232394098875, 58.929788673490734, 58.96715496483505, 59.00442300026063, 59.04159296650204, 59.078665051736905, 59.11563944553465, 59.152516338806436, 59.18929592375648, 59.22597839383452, 59.26256394368947, 59.29905276912435, 59.335445067052206, 59.37174103545325, 59.40794087333303, 59.44404478068172, 59.48005295843436, 59.51596560843215, 59.55178293338474, 59.587505136833464, 59.623132423115464, 59.65866499732882, 59.694103065298485, 59.72944683354315, 59.764696509242896, 59.79985230020774, 59.83491441484692, 59.86988306213903, 59.90475845160287, 59.93954079326909, 59.97423029765251, 60.00882717572522, 60.04333163889033, 60.07774389895638, 60.112064168112475, 60.14629265890403, 60.180429584209115, 60.214475157215475, 60.24842959139811, 60.282293100497434, 60.316065898498046, 60.34974819960801, 60.3833402182387, 60.41684216898519, 60.45025426660712, 60.48357672601011, 60.516809762227616, 60.549953590403334, 60.583008425774004, 60.6159744836527, 60.64885197941257, 60.681641128471, 60.71434214627421, 60.746955248282255, 60.77948064995443, 60.811918566735066, 60.844269214039734, 60.876532807241766, 60.908709561659215, 60.94079969254212, 60.97280341506012, 61.00472094429042, 61.03655249520611, 61.06829828266475, 61.099958521397326, 61.13153342599747, 61.16302321091099, 61.19442809042574, 61.22574827866166, 61.25698398956125, 61.288135436880154, 61.31920283417814, 61.35018639481025, 61.38108633191823, 61.411902858422245, 61.44263618701274, 61.47328653014264, 61.50385410001968, 61.534339108599056, 61.56474176757619, 61.59506228837977, 61.625300882165, 61.65545775980699, 61.685533131894424, 61.71552720872335, 61.74544020029119, 61.77527231629092, 61.80502376610544, 61.834694758802094, 61.86428550312738, 61.893796207501794, 61.9232270800149, 61.95257832842045, 61.98185016013177, 62.01104278221721, 62.04015640139578, 62.06919122403289, 62.09814745613632, 62.12702530335216, 62.15582497096108, 62.18454666387453, 62.21319058663123, 62.24175694339368, 62.270245937944836, 62.298657773684845, 62.32699265362797, 62.355250780399565, 62.383432356233186, 62.411537582967796, 62.43956666204506, 62.467519794506764, 62.495397180992306, 62.523199021736296, 62.55092551656626, 62.57857686490038, 62.60615326574538, 62.63365491769448, 62.66108201892542, 62.68843476719856, 62.71571335985507, 62.742917993815226, 62.770048865576705, 62.79710617121303, 62.82409010637205, 62.85100086627447, 62.8778386457125, 62.90460363904854, 62.93129604021388, 62.95791604270758, 62.9844638395953, 63.01093962350823, 63.0373435866421, 63.063675920756204, 63.08993681717251, 63.1161264667748, 63.1422450600079, 63.1682927868769, 63.194269836946475, 63.22017639934024, 63.246012662740135, 63.27177881538587, 63.297475045074435, 63.323101539159595, 63.34865848455148, 63.3741460677162, 63.399564474675486, 63.424913891006405, 63.45019450184106, 63.47540649186637, 63.500550045323884, 63.525625346009576, 63.55063257727377, 63.575571922020984, 63.60044356270993, 63.625247681353414, 63.64998445951839, 63.67465407832594, 63.699256718451366, 63.72379256012423, 63.74826178312851, 63.77266456680271, 63.79700109004001, 63.8212715312885, 63.84547606855134, 63.869614879387015, 63.8936881409096, 63.91769602978904, 63.94163872225143, 63.96551639407937, 63.98932922061229, 64.0130773767468, 64.03676103693714, 64.06038037519546, 64.08393556509237, 64.1074267797573, 64.13085419187898, 64.15421797370591, 64.17751829704686, 64.20075533327133, 64.22392925331013, 64.2470402276559, 64.27008842636361, 64.29307401905119, 64.31599717490006, 64.33885806265576, 64.3616568506285, 64.38439370669386, 64.4070687982933, 64.4296822924349, 64.452234355694, 64.47472515421381, 64.4971548537061, 64.51952361945193, 64.54183161630228, 64.56407900867877, 64.58626596057444, 64.60839263555434, 64.63045919675639, 64.65246580689204, 64.67441262824704, 64.6962998226822, 64.71812755163415, 64.7398959761161, 64.76160525671862, 64.78325555361046, 64.80484702653926, 64.82637983483247, 64.84785413739799, 64.86927009272515, 64.89062785888541, 64.91192759353322, 64.93316945390686, 64.95435359682922, 64.97548017870874, 64.99654935554011, 65.01756128290525, 65.03851611597406, 65.05941400950533, 65.08025511784761, 65.10103959494002, 65.12176759431316, 65.14243926908995, 65.16305477198655, 65.18361425531319, 65.20411787097505, 65.22456577047319, 65.2449581049054, 65.26529502496707, 65.28557668095218, 65.30580322275402, 65.32597479986627, 65.3460915613838, 65.36615365600356, 65.38616123202553, 65.40611443735361, 65.42601341949653, 65.44585832556872, 65.46564930229127, 65.48538649599283, 65.50507005261049, 65.52470011769074, 65.54427683639035, 65.5638003534773, 65.58327081333171, 65.60268835994671, 65.62205313692944, 65.64136528750187, 65.66062495450181, 65.67983228038378, 65.69898740721993, 65.71809047670101, 65.73714163013722, 65.75614100845918, 65.77508875221886, 65.79398500159049, 65.81282989637143, 65.83162357598317, 65.85036617947225, 65.8690578455111, 65.88769871239904, 65.90628891806323, 65.92482860005946, 65.94331789557319, 65.96175694142045, 65.98014587404872, 65.9984848295379, 66.01677394360118, 66.035013351586, 66.05320318847497, 66.07134358888672, 66.08943468707692, 66.10747661693911, 66.12546951200568, 66.14341350544873, 66.16130873008103, 66.17915531835689, 66.19695340237313, 66.2147031138699, 66.23240458423172, 66.25005794448825, 66.26766332531528, 66.28522085703565, 66.3027306696201, 66.32019289268821, 66.33760765550929, 66.35497508700328, 66.37229531574167, 66.38956846994837, 66.40679467750066, 66.42397406593001, 66.44110676242306, 66.45819289382246, 66.47523258662774, 66.49222596699629, 66.50917316074417, 66.52607429334704, 66.54292948994102, 66.5597388753236, 66.57650257395451, 66.59322070995663, 66.6098934071168, 66.6265207888868, 66.64310297838412, 66.65964009839296, 66.67613227136498, 66.69257961942026, 66.70898226434814, 66.72534032760808, 66.74165393033057, 66.75792319331792, 66.77414823704521, 66.79032918166111, 66.80646614698873, 66.82255925252652, 66.83860861744908, 66.85461436060807, 66.87057660053301, 66.88649545543218, 66.90237104319344, 66.91820348138509, 66.93399288725672, 66.94973937774004, 66.96544306944975, 66.98110407868437, 66.99672252142706, 67.01229851334651, 67.02783216979772, 67.04332360582286, 67.05877293615212, 67.07418027520451, 67.0895457370887, 67.10486943560385, 67.12015148424044, 67.1353919961811, 67.1505910843014, 67.1657488611707, 67.18086543905297, 67.19594092990758, 67.21097544539013, 67.22596909685329, 67.24092199534755, 67.25583425162206, 67.27070597612547, 67.28553727900668, 67.30032827011567, 67.3150790590043, 67.32978975492712, 67.34446046684212, 67.3590913034116, 67.3736823730029, 67.38823378368919, 67.40274564325034, 67.41721805917362, 67.43165113865452, 67.44604498859752, 67.46039971561692, 67.47471542603753, 67.48899222589557, 67.50323022093932, 67.51742951662997, 67.5315902181424, 67.5457124303659, 67.55979625790496, 67.57384180508006, 67.58784917592843, 67.60181847420473, 67.61574980338197, 67.62964326665214, 67.64349896692698, 67.65731700683881, 67.6710974887412, 67.68484051470976, 67.69854618654293, 67.71221460576263, 67.72584587361507, 67.73944009107153, 67.752997358829, 67.76651777731101, 67.78000144666832, 67.79344846677968, 67.80685893725256, 67.82023295742385, 67.83357062636067, 67.846872042861, 67.86013730545447, 67.87336651240311, 67.88655976170196, 67.89971715107993, 67.91283877800042, 67.9259247396621, 67.93897513299954, 67.95199005468407, 67.96496960112434, 67.97791386846711, 67.99082295259795, 68.00369694914194, 68.01653595346437, 68.02934006067144, 68.04210936561101, 68.0548439628732, 68.06754394679119, 68.08020941144183, 68.09284045064642, 68.10543715797132, 68.11799962672872, 68.13052794997724, 68.14302222052268, 68.1554825309187, 68.16790897346748, 68.18030164022039, 68.19266062297874, 68.20498601329435, 68.21727790247031, 68.22953638156166, 68.24176154137596, 68.25395347247411, 68.26611226517088, 68.27823800953564, 68.29033079539306, 68.3023907123237, 68.31441784966471, 68.3264122965105, 68.33837414171337, 68.35030347388421, 68.36220038139308, 68.37406495236993, 68.38589727470524, 68.39769743605063, 68.40946552381958, 68.42120162518798, 68.43290582709486, 68.44457821624299, 68.45621887909952, 68.46782790189667, 68.47940537063226, 68.49095137107048, 68.5024659887424, 68.51394930894669, 68.52540141675021, 68.53682239698864, 68.54821233426712, 68.55957131296088, 68.57089941721586, 68.58219673094929, 68.59346333785038, 68.6046993213809, 68.6159047647758, 68.62707975104384, 68.63822436296815, 68.64933868310693, 68.66042279379401, 68.67147677713946, 68.68250071503019, 68.69349468913057, 68.70445878088306, 68.71539307150874, 68.72629764200799, 68.73717257316105, 68.7480179455286, 68.75883383945241, 68.76962033505586, 68.78037751224461, 68.79110545070716, 68.80180422991542, 68.8124739291253, 68.82311462737734, 68.83372640349725, 68.84430933609652, 68.85486350357297, 68.86538898411138, 68.87588585568402, 68.88635419605124, 68.89679408276207, 68.90720559315477, 68.91758880435741, 68.92794379328842, 68.93827063665721, 68.94856941096468, 68.95884019250384, 68.96908305736032, 68.97929808141296, 68.9894853403344, 68.99964490959158, 69.00977686444637, 69.01988127995604, 69.02995823097389, 69.04000779214978, 69.05003003793068, 69.06002504256122, 69.06999288008423, 69.07993362434131, 69.08984734897335, 69.09973412742113, 69.10959403292578, 69.1194271385294, 69.12923351707555, 69.13901324120981, 69.14876638338032, 69.1584930158383, 69.16819321063862, 69.17786703964028, 69.18751457450699, 69.19713588670768, 69.20673104751704, 69.21630012801603, 69.22584319909241, 69.23536033144127, 69.24485159556558, 69.25431706177665, 69.26375680019471, 69.27317088074942, 69.28255937318033, 69.29192234703748, 69.30125987168186 ], "yaxis": "y" }, { "hovertemplate": "Chemical=X
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "X", "line": { "color": "orange", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "X", "showlegend": true, "type": "scattergl", "x": [ 0, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009000000000000001, 0.010000000000000002, 0.011000000000000003, 0.012000000000000004, 0.013000000000000005, 0.014000000000000005, 0.015000000000000006, 0.016000000000000007, 0.017000000000000008, 0.01800000000000001, 0.01900000000000001, 0.02000000000000001, 0.02100000000000001, 0.022000000000000013, 0.023000000000000013, 0.024000000000000014, 0.025000000000000015, 0.026000000000000016, 0.027000000000000017, 0.028000000000000018, 0.02900000000000002, 0.03000000000000002, 0.03100000000000002, 0.03200000000000002, 0.03300000000000002, 0.03400000000000002, 0.035000000000000024, 0.036000000000000025, 0.037000000000000026, 0.03800000000000003, 0.03900000000000003, 0.04000000000000003, 0.04100000000000003, 0.04200000000000003, 0.04300000000000003, 0.04400000000000003, 0.04500000000000003, 0.046000000000000034, 0.047000000000000035, 0.048000000000000036, 0.04900000000000004, 0.05000000000000004, 0.05100000000000004, 0.05200000000000004, 0.05300000000000004, 0.05400000000000004, 0.05500000000000004, 0.05600000000000004, 0.057000000000000044, 0.058000000000000045, 0.059000000000000045, 0.060000000000000046, 0.06100000000000005, 0.06200000000000005, 0.06300000000000004, 0.06400000000000004, 0.06500000000000004, 0.06600000000000004, 0.06700000000000005, 0.06800000000000005, 0.06900000000000005, 0.07000000000000005, 0.07100000000000005, 0.07200000000000005, 0.07300000000000005, 0.07400000000000005, 0.07500000000000005, 0.07600000000000005, 0.07700000000000005, 0.07800000000000006, 0.07900000000000006, 0.08000000000000006, 0.08100000000000006, 0.08200000000000006, 0.08300000000000006, 0.08400000000000006, 0.08500000000000006, 0.08600000000000006, 0.08700000000000006, 0.08800000000000006, 0.08900000000000007, 0.09000000000000007, 0.09100000000000007, 0.09200000000000007, 0.09300000000000007, 0.09400000000000007, 0.09500000000000007, 0.09600000000000007, 0.09700000000000007, 0.09800000000000007, 0.09900000000000007, 0.10000000000000007, 0.10100000000000008, 0.10200000000000008, 0.10300000000000008, 0.10400000000000008, 0.10500000000000008, 0.10600000000000008, 0.10700000000000008, 0.10800000000000008, 0.10900000000000008, 0.11000000000000008, 0.11100000000000008, 0.11200000000000009, 0.11300000000000009, 0.11400000000000009, 0.11500000000000009, 0.11600000000000009, 0.11700000000000009, 0.11800000000000009, 0.11900000000000009, 0.12000000000000009, 0.1210000000000001, 0.1220000000000001, 0.1230000000000001, 0.1240000000000001, 0.12500000000000008, 0.12600000000000008, 0.12700000000000009, 0.12800000000000009, 0.1290000000000001, 0.1300000000000001, 0.1310000000000001, 0.1320000000000001, 0.1330000000000001, 0.1340000000000001, 0.1350000000000001, 0.1360000000000001, 0.1370000000000001, 0.1380000000000001, 0.1390000000000001, 0.1400000000000001, 0.1410000000000001, 0.1420000000000001, 0.1430000000000001, 0.1440000000000001, 0.1450000000000001, 0.1460000000000001, 0.1470000000000001, 0.1480000000000001, 0.1490000000000001, 0.1500000000000001, 0.1510000000000001, 0.1520000000000001, 0.1530000000000001, 0.1540000000000001, 0.1550000000000001, 0.1560000000000001, 0.1570000000000001, 0.1580000000000001, 0.1590000000000001, 0.16000000000000011, 0.16100000000000012, 0.16200000000000012, 0.16300000000000012, 0.16400000000000012, 0.16500000000000012, 0.16600000000000012, 0.16700000000000012, 0.16800000000000012, 0.16900000000000012, 0.17000000000000012, 0.17100000000000012, 0.17200000000000013, 0.17300000000000013, 0.17400000000000013, 0.17500000000000013, 0.17600000000000013, 0.17700000000000013, 0.17800000000000013, 0.17900000000000013, 0.18000000000000013, 0.18100000000000013, 0.18200000000000013, 0.18300000000000013, 0.18400000000000014, 0.18500000000000014, 0.18600000000000014, 0.18700000000000014, 0.18800000000000014, 0.18900000000000014, 0.19000000000000014, 0.19100000000000014, 0.19200000000000014, 0.19300000000000014, 0.19400000000000014, 0.19500000000000015, 0.19600000000000015, 0.19700000000000015, 0.19800000000000015, 0.19900000000000015, 0.20000000000000015, 0.20100000000000015, 0.20200000000000015, 0.20300000000000015, 0.20400000000000015, 0.20500000000000015, 0.20600000000000016, 0.20700000000000016, 0.20800000000000016, 0.20900000000000016, 0.21000000000000016, 0.21100000000000016, 0.21200000000000016, 0.21300000000000016, 0.21400000000000016, 0.21500000000000016, 0.21600000000000016, 0.21700000000000016, 0.21800000000000017, 0.21900000000000017, 0.22000000000000017, 0.22100000000000017, 0.22200000000000017, 0.22300000000000017, 0.22400000000000017, 0.22500000000000017, 0.22600000000000017, 0.22700000000000017, 0.22800000000000017, 0.22900000000000018, 0.23000000000000018, 0.23100000000000018, 0.23200000000000018, 0.23300000000000018, 0.23400000000000018, 0.23500000000000018, 0.23600000000000018, 0.23700000000000018, 0.23800000000000018, 0.23900000000000018, 0.24000000000000019, 0.2410000000000002, 0.2420000000000002, 0.2430000000000002, 0.2440000000000002, 0.2450000000000002, 0.2460000000000002, 0.2470000000000002, 0.2480000000000002, 0.2490000000000002, 0.25000000000000017, 0.25100000000000017, 0.25200000000000017, 0.25300000000000017, 0.25400000000000017, 0.25500000000000017, 0.25600000000000017, 0.2570000000000002, 0.2580000000000002, 0.2590000000000002, 0.2600000000000002, 0.2610000000000002, 0.2620000000000002, 0.2630000000000002, 0.2640000000000002, 0.2650000000000002, 0.2660000000000002, 0.2670000000000002, 0.2680000000000002, 0.2690000000000002, 0.2700000000000002, 0.2710000000000002, 0.2720000000000002, 0.2730000000000002, 0.2740000000000002, 0.2750000000000002, 0.2760000000000002, 0.2770000000000002, 0.2780000000000002, 0.2790000000000002, 0.2800000000000002, 0.2810000000000002, 0.2820000000000002, 0.2830000000000002, 0.2840000000000002, 0.2850000000000002, 0.2860000000000002, 0.2870000000000002, 0.2880000000000002, 0.2890000000000002, 0.2900000000000002, 0.2910000000000002, 0.2920000000000002, 0.2930000000000002, 0.2940000000000002, 0.2950000000000002, 0.2960000000000002, 0.2970000000000002, 0.2980000000000002, 0.2990000000000002, 0.3000000000000002, 0.3010000000000002, 0.3020000000000002, 0.3030000000000002, 0.3040000000000002, 0.3050000000000002, 0.3060000000000002, 0.3070000000000002, 0.3080000000000002, 0.3090000000000002, 0.3100000000000002, 0.3110000000000002, 0.3120000000000002, 0.3130000000000002, 0.3140000000000002, 0.3150000000000002, 0.3160000000000002, 0.3170000000000002, 0.3180000000000002, 0.31900000000000023, 0.32000000000000023, 0.32100000000000023, 0.32200000000000023, 0.32300000000000023, 0.32400000000000023, 0.32500000000000023, 0.32600000000000023, 0.32700000000000023, 0.32800000000000024, 0.32900000000000024, 0.33000000000000024, 0.33100000000000024, 0.33200000000000024, 0.33300000000000024, 0.33400000000000024, 0.33500000000000024, 0.33600000000000024, 0.33700000000000024, 0.33800000000000024, 0.33900000000000025, 0.34000000000000025, 0.34100000000000025, 0.34200000000000025, 0.34300000000000025, 0.34400000000000025, 0.34500000000000025, 0.34600000000000025, 0.34700000000000025, 0.34800000000000025, 0.34900000000000025, 0.35000000000000026, 0.35100000000000026, 0.35200000000000026, 0.35300000000000026, 0.35400000000000026, 0.35500000000000026, 0.35600000000000026, 0.35700000000000026, 0.35800000000000026, 0.35900000000000026, 0.36000000000000026, 0.36100000000000027, 0.36200000000000027, 0.36300000000000027, 0.36400000000000027, 0.36500000000000027, 0.36600000000000027, 0.36700000000000027, 0.36800000000000027, 0.36900000000000027, 0.3700000000000003, 0.3710000000000003, 0.3720000000000003, 0.3730000000000003, 0.3740000000000003, 0.3750000000000003, 0.3760000000000003, 0.3770000000000003, 0.3780000000000003, 0.3790000000000003, 0.3800000000000003, 0.3810000000000003, 0.3820000000000003, 0.3830000000000003, 0.3840000000000003, 0.3850000000000003, 0.3860000000000003, 0.3870000000000003, 0.3880000000000003, 0.3890000000000003, 0.3900000000000003, 0.3910000000000003, 0.3920000000000003, 0.3930000000000003, 0.3940000000000003, 0.3950000000000003, 0.3960000000000003, 0.3970000000000003, 0.3980000000000003, 0.3990000000000003, 0.4000000000000003, 0.4010000000000003, 0.4020000000000003, 0.4030000000000003, 0.4040000000000003, 0.4050000000000003, 0.4060000000000003, 0.4070000000000003, 0.4080000000000003, 0.4090000000000003, 0.4100000000000003, 0.4110000000000003, 0.4120000000000003, 0.4130000000000003, 0.4140000000000003, 0.4150000000000003, 0.4160000000000003, 0.4170000000000003, 0.4180000000000003, 0.4190000000000003, 0.4200000000000003, 0.4210000000000003, 0.4220000000000003, 0.4230000000000003, 0.4240000000000003, 0.4250000000000003, 0.4260000000000003, 0.4270000000000003, 0.4280000000000003, 0.4290000000000003, 0.4300000000000003, 0.4310000000000003, 0.43200000000000033, 0.43300000000000033, 0.43400000000000033, 0.43500000000000033, 0.43600000000000033, 0.43700000000000033, 0.43800000000000033, 0.43900000000000033, 0.44000000000000034, 0.44100000000000034, 0.44200000000000034, 0.44300000000000034, 0.44400000000000034, 0.44500000000000034, 0.44600000000000034, 0.44700000000000034, 0.44800000000000034, 0.44900000000000034, 0.45000000000000034, 0.45100000000000035, 0.45200000000000035, 0.45300000000000035, 0.45400000000000035, 0.45500000000000035, 0.45600000000000035, 0.45700000000000035, 0.45800000000000035, 0.45900000000000035, 0.46000000000000035, 0.46100000000000035, 0.46200000000000035, 0.46300000000000036, 0.46400000000000036, 0.46500000000000036, 0.46600000000000036, 0.46700000000000036, 0.46800000000000036, 0.46900000000000036, 0.47000000000000036, 0.47100000000000036, 0.47200000000000036, 0.47300000000000036, 0.47400000000000037, 0.47500000000000037, 0.47600000000000037, 0.47700000000000037, 0.47800000000000037, 0.47900000000000037, 0.48000000000000037, 0.48100000000000037, 0.4820000000000004, 0.4830000000000004, 0.4840000000000004, 0.4850000000000004, 0.4860000000000004, 0.4870000000000004, 0.4880000000000004, 0.4890000000000004, 0.4900000000000004, 0.4910000000000004, 0.4920000000000004, 0.4930000000000004, 0.4940000000000004, 0.4950000000000004, 0.4960000000000004, 0.4970000000000004, 0.4980000000000004, 0.4990000000000004, 0.5000000000000003, 0.5010000000000003, 0.5020000000000003, 0.5030000000000003, 0.5040000000000003, 0.5050000000000003, 0.5060000000000003, 0.5070000000000003, 0.5080000000000003, 0.5090000000000003, 0.5100000000000003, 0.5110000000000003, 0.5120000000000003, 0.5130000000000003, 0.5140000000000003, 0.5150000000000003, 0.5160000000000003, 0.5170000000000003, 0.5180000000000003, 0.5190000000000003, 0.5200000000000004, 0.5210000000000004, 0.5220000000000004, 0.5230000000000004, 0.5240000000000004, 0.5250000000000004, 0.5260000000000004, 0.5270000000000004, 0.5280000000000004, 0.5290000000000004, 0.5300000000000004, 0.5310000000000004, 0.5320000000000004, 0.5330000000000004, 0.5340000000000004, 0.5350000000000004, 0.5360000000000004, 0.5370000000000004, 0.5380000000000004, 0.5390000000000004, 0.5400000000000004, 0.5410000000000004, 0.5420000000000004, 0.5430000000000004, 0.5440000000000004, 0.5450000000000004, 0.5460000000000004, 0.5470000000000004, 0.5480000000000004, 0.5490000000000004, 0.5500000000000004, 0.5510000000000004, 0.5520000000000004, 0.5530000000000004, 0.5540000000000004, 0.5550000000000004, 0.5560000000000004, 0.5570000000000004, 0.5580000000000004, 0.5590000000000004, 0.5600000000000004, 0.5610000000000004, 0.5620000000000004, 0.5630000000000004, 0.5640000000000004, 0.5650000000000004, 0.5660000000000004, 0.5670000000000004, 0.5680000000000004, 0.5690000000000004, 0.5700000000000004, 0.5710000000000004, 0.5720000000000004, 0.5730000000000004, 0.5740000000000004, 0.5750000000000004, 0.5760000000000004, 0.5770000000000004, 0.5780000000000004, 0.5790000000000004, 0.5800000000000004, 0.5810000000000004, 0.5820000000000004, 0.5830000000000004, 0.5840000000000004, 0.5850000000000004, 0.5860000000000004, 0.5870000000000004, 0.5880000000000004, 0.5890000000000004, 0.5900000000000004, 0.5910000000000004, 0.5920000000000004, 0.5930000000000004, 0.5940000000000004, 0.5950000000000004, 0.5960000000000004, 0.5970000000000004, 0.5980000000000004, 0.5990000000000004, 0.6000000000000004, 0.6010000000000004, 0.6020000000000004, 0.6030000000000004, 0.6040000000000004, 0.6050000000000004, 0.6060000000000004, 0.6070000000000004, 0.6080000000000004, 0.6090000000000004, 0.6100000000000004, 0.6110000000000004, 0.6120000000000004, 0.6130000000000004, 0.6140000000000004, 0.6150000000000004, 0.6160000000000004, 0.6170000000000004, 0.6180000000000004, 0.6190000000000004, 0.6200000000000004, 0.6210000000000004, 0.6220000000000004, 0.6230000000000004, 0.6240000000000004, 0.6250000000000004, 0.6260000000000004, 0.6270000000000004, 0.6280000000000004, 0.6290000000000004, 0.6300000000000004, 0.6310000000000004, 0.6320000000000005, 0.6330000000000005, 0.6340000000000005, 0.6350000000000005, 0.6360000000000005, 0.6370000000000005, 0.6380000000000005, 0.6390000000000005, 0.6400000000000005, 0.6410000000000005, 0.6420000000000005, 0.6430000000000005, 0.6440000000000005, 0.6450000000000005, 0.6460000000000005, 0.6470000000000005, 0.6480000000000005, 0.6490000000000005, 0.6500000000000005, 0.6510000000000005, 0.6520000000000005, 0.6530000000000005, 0.6540000000000005, 0.6550000000000005, 0.6560000000000005, 0.6570000000000005, 0.6580000000000005, 0.6590000000000005, 0.6600000000000005, 0.6610000000000005, 0.6620000000000005, 0.6630000000000005, 0.6640000000000005, 0.6650000000000005, 0.6660000000000005, 0.6670000000000005, 0.6680000000000005, 0.6690000000000005, 0.6700000000000005, 0.6710000000000005, 0.6720000000000005, 0.6730000000000005, 0.6740000000000005, 0.6750000000000005, 0.6760000000000005, 0.6770000000000005, 0.6780000000000005, 0.6790000000000005, 0.6800000000000005, 0.6810000000000005, 0.6820000000000005, 0.6830000000000005, 0.6840000000000005, 0.6850000000000005, 0.6860000000000005, 0.6870000000000005, 0.6880000000000005, 0.6890000000000005, 0.6900000000000005, 0.6910000000000005, 0.6920000000000005, 0.6930000000000005, 0.6940000000000005, 0.6950000000000005, 0.6960000000000005, 0.6970000000000005, 0.6980000000000005, 0.6990000000000005, 0.7000000000000005, 0.7010000000000005, 0.7020000000000005, 0.7030000000000005, 0.7040000000000005, 0.7050000000000005, 0.7060000000000005, 0.7070000000000005, 0.7080000000000005, 0.7090000000000005, 0.7100000000000005, 0.7110000000000005, 0.7120000000000005, 0.7130000000000005, 0.7140000000000005, 0.7150000000000005, 0.7160000000000005, 0.7170000000000005, 0.7180000000000005, 0.7190000000000005, 0.7200000000000005, 0.7210000000000005, 0.7220000000000005, 0.7230000000000005, 0.7240000000000005, 0.7250000000000005, 0.7260000000000005, 0.7270000000000005, 0.7280000000000005, 0.7290000000000005, 0.7300000000000005, 0.7310000000000005, 0.7320000000000005, 0.7330000000000005, 0.7340000000000005, 0.7350000000000005, 0.7360000000000005, 0.7370000000000005, 0.7380000000000005, 0.7390000000000005, 0.7400000000000005, 0.7410000000000005, 0.7420000000000005, 0.7430000000000005, 0.7440000000000005, 0.7450000000000006, 0.7460000000000006, 0.7470000000000006, 0.7480000000000006, 0.7490000000000006, 0.7500000000000006, 0.7510000000000006, 0.7520000000000006, 0.7530000000000006, 0.7540000000000006, 0.7550000000000006, 0.7560000000000006, 0.7570000000000006, 0.7580000000000006, 0.7590000000000006, 0.7600000000000006, 0.7610000000000006, 0.7620000000000006, 0.7630000000000006, 0.7640000000000006, 0.7650000000000006, 0.7660000000000006, 0.7670000000000006, 0.7680000000000006, 0.7690000000000006, 0.7700000000000006, 0.7710000000000006, 0.7720000000000006, 0.7730000000000006, 0.7740000000000006, 0.7750000000000006, 0.7760000000000006, 0.7770000000000006, 0.7780000000000006, 0.7790000000000006, 0.7800000000000006, 0.7810000000000006, 0.7820000000000006, 0.7830000000000006, 0.7840000000000006, 0.7850000000000006, 0.7860000000000006, 0.7870000000000006, 0.7880000000000006, 0.7890000000000006, 0.7900000000000006, 0.7910000000000006, 0.7920000000000006, 0.7930000000000006, 0.7940000000000006, 0.7950000000000006, 0.7960000000000006, 0.7970000000000006, 0.7980000000000006, 0.7990000000000006, 0.8000000000000006 ], "xaxis": "x", "y": [ 100, 99.7, 99.40390000000001, 99.1116145, 98.8230600511, 98.5381552057633, 98.25682046928732, 97.9789782524526, 97.70455282532146, 97.43347027215819, 97.16565844744386, 96.90104693295885, 96.6395669959074, 96.38115154805877, 96.12573510588032, 95.87325375163853, 95.62364509544427, 95.37684823821965, 95.1328037355638, 94.89145356249593, 94.65274107905434, 94.41661099673055, 94.18300934571829, 93.95188344295758, 93.72318186095458, 93.49685439735843, 93.27285204527657, 93.05112696431067, 92.83163245229586, 92.61432291772581, 92.3991538528473, 92.18608180740794, 91.97506436304117, 91.76606010827301, 91.55902861413563, 91.35393041037281, 91.15072696222305, 90.94938064776625, 90.74985473582028, 90.5521133643741, 90.35612151954439, 90.16184501504304, 89.96925047214295, 89.77830530013016, 89.58897767723055, 89.40123653199942, 89.21505152516283, 89.03039303189972, 88.84723212455405, 88.66554055576661, 88.48529074201622, 88.3064557475604, 88.12900926876593, 87.95292561881955, 87.77817971280999, 87.60474705317185, 87.4326037154829, 87.26172633460604, 87.09209209116763, 86.92367869836397, 86.756464389088, 86.59042790336838, 86.4255484761135, 86.26180582515289, 86.0991801395688, 85.93765206831101, 85.77720270908797, 85.61781359752744, 85.45946669660026, 85.30214438630067, 85.14582945357719, 84.99050508250775, 84.83615484471325, 84.68276269000376, 84.53031293725167, 84.37879026548634, 84.22817970520482, 84.07846662989338, 83.92963674775481, 83.7816760936364, 83.63457102115385, 83.48830819500614, 83.34287458347703, 83.19825745111832, 83.0544443516108, 82.9114231207982, 82.76918186989035, 82.62770897883102, 82.48699308982688, 82.34702310103326, 82.20778816039314, 82.06927765962563, 81.93148122836025, 81.79438872841351, 81.65799024820426, 81.52227609730457, 81.3872368011228, 81.25286309571551, 81.11914592272535, 80.9860764244416, 80.85364593898062, 80.72184599558307, 80.59066831002528, 80.46010478014185, 80.3301474814568, 80.20078866292077, 80.07202074275143, 79.94383630437491, 79.81622809246554, 79.68918900908162, 79.56271210989496, 79.43679060051174, 79.31141783288263, 79.18658730179986, 79.06229264147936, 78.93852762222559, 78.81528614717735, 78.69256224913234, 78.57035008744882, 78.44864394502231, 78.32743822533556, 78.20672744957997, 78.08650625384692, 77.96676938638699, 77.84751170493571, 77.72872817410412, 77.61041386283246, 77.49256394190564, 77.3751736815289, 77.25823844896217, 77.14175370621176, 77.02571500777798, 76.9101179984573, 76.79495841119775, 76.68023206500632, 76.56593486290693, 76.45206278994792, 76.33861191125786, 76.22557837014828, 76.11295838626253, 76.00074825376926, 75.88894433959982, 75.7775430817282, 75.6665409874927, 75.55593463195817, 75.44572065631789, 75.33589576633419, 75.22645673081674, 75.11740038013768, 75.00872360478272, 74.90042335393726, 74.7924966341067, 74.68494050777021, 74.57775209206696, 74.47092855751418, 74.36446712675625, 74.258365073344, 74.1526197205435, 74.04722844017377, 73.94218865147246, 73.83749781998905, 73.7331534565047, 73.6291531159783, 73.52549439651798, 73.42217493837744, 73.31919242297651, 73.21654457194549, 73.11422914619239, 73.01224394499286, 72.91058680510208, 72.80925559988799, 72.70824823848554, 72.60756266497135, 72.50719685755831, 72.40714882780954, 72.30741661987138, 72.20799830972491, 72.1088920044555, 72.01009584153991, 71.91160798815075, 71.81342664047756, 71.71555002306432, 71.61797638816297, 71.52070401510244, 71.42373120967292, 71.327056303525, 71.23067765358323, 71.13459364147386, 71.0388026729663, 70.9433031774281, 70.84809360729304, 70.7531724375419, 70.65853816519596, 70.56418930882249, 70.4701244080522, 70.37634202310832, 70.282840734347, 70.1896191418087, 70.09667586478048, 70.00400954136866, 69.91161882808188, 69.81950239942412, 69.72765894749746, 69.63608718161446, 69.54478582791977, 69.45375362902084, 69.36298934362755, 69.27249174620036, 69.18225962660702, 69.09229178978745, 69.00258705542666, 68.91314425763548, 68.823962244639, 68.73503987847243, 68.64637603468421, 68.55796960204628, 68.4698194822713, 68.38192458973651, 68.29428385121433, 68.20689620560933, 68.11976060370147, 68.03287600789555, 67.94624139197656, 67.85985574087086, 67.77371805041314, 67.68782732711888, 67.60218258796223, 67.51678286015922, 67.4316271809561, 67.34671459742269, 67.26204416625073, 67.17761495355698, 67.09342603469099, 67.00947649404745, 66.925765424883, 66.84229192913737, 66.75905511725884, 66.67605410803371, 66.59328802841992, 66.51075601338457, 66.42845720574529, 66.3463907560154, 66.26455582225263, 66.18295156991157, 66.10157717169943, 66.02043180743541, 65.9395146639132, 65.85882493476679, 65.77836182033951, 65.69812452755608, 65.61811226979765, 65.53832426677988, 65.45875974443379, 65.37941793478944, 65.30029807586236, 65.2213994115426, 65.14272119148647, 65.0642626710107, 64.98602311098912, 64.90800177775185, 64.83019794298666, 64.7526108836428, 64.67523988183699, 64.5980842247616, 64.52114320459506, 64.44441611841418, 64.36790226810868, 64.29160096029761, 64.21551150624775, 64.13963322179386, 64.0639654272608, 63.9885074473875, 63.91325861125258, 63.83821825220178, 63.763385707777005, 63.68876031964705, 63.6143414335399, 63.54012839917654, 63.46612057020638, 63.392317304144065, 63.3187179623078, 63.24532190975904, 63.172128515243585, 63.099137151134, 63.026347193373375, 62.953758021420306, 62.88136901819521, 62.80917957002777, 62.73718906660566, 62.66539690092432, 62.593802469237986, 62.52240517101172, 62.45120440887459, 62.38019958857387, 62.309390118930295, 62.238775411794244, 62.168354882003015, 62.09812794733897, 62.02809402848865, 61.958252549002765, 61.88860293525711, 61.81914461641436, 61.74987702438664, 61.68079959379898, 61.61191176195358, 61.54321296879481, 61.474702656875046, 61.40638027132117, 61.338245259801894, 61.27029707249573, 61.20253516205969, 61.13495898359864, 61.06756799463533, 61.00036165508112, 60.93333942720723, 60.8665007756167, 60.799845167216915, 60.73337207119273, 60.66708095898017, 60.60097130424065, 60.5350425828358, 60.469294272802806, 60.40372585433023, 60.338336809734415, 60.2731266234363, 60.20809478193878, 60.14324077380456, 60.07856408963435, 60.01406422204566, 59.94974066565196, 59.885592917042224, 59.821620474761026, 59.75782283928889, 59.69419951302317, 59.63075000025923, 59.567473807172064, 59.50437044179823, 59.44143941401821, 59.3786802355391, 59.3160924198776, 59.25367548234341, 59.19142894002294, 59.12935231176328, 59.06744511815659, 59.00570688152471, 58.944137125904085, 58.88273537703104, 58.82150116232726, 58.7604340108856, 58.69953345345614, 58.638799022432565, 58.5782302518387, 58.517826677315384, 58.45758783610758, 58.39751326705168, 58.33760251056311, 58.2778551086241, 58.21827060477175, 58.15884854408625, 58.09958847317933, 58.040489940182994, 57.98155249473833, 57.92277568798462, 57.8641590725486, 57.80570220253396, 57.74740463351092, 57.68926592250613, 57.63128562799266, 57.57346330988017, 57.51579852950527, 57.45829084962204, 57.40093983439271, 57.3437450493785, 57.2867060615306, 57.22982243918133, 57.173093752035435, 57.11651957116149, 57.06009946898351, 57.00383301927264, 56.94771979713901, 56.89175937902371, 56.83595134269092, 56.7802952672201, 56.72479073299837, 56.66943732171299, 56.61423461634394, 56.559182201156624, 56.50427966169468, 56.44952658477294, 56.39492255847041, 56.340467172123454, 56.28616001631901, 56.23200068288792, 56.177988764898394, 56.12412385664952, 56.07040555366488, 56.01683345268628, 55.96340715166756, 55.910126249768474, 55.85699034734865, 55.803999045961675, 55.751151948349225, 55.69844865843528, 55.64588878132042, 55.593471923276205, 55.54119769173962, 55.48906569530758, 55.43707554373155, 55.385226847912186, 55.33351921989406, 55.28195227286046, 55.23052562112825, 55.179238880142805, 55.12809166647297, 55.07708359780613, 55.02621429294331, 54.97548337179433, 54.924890455373045, 54.87443516579259, 54.82411712626075, 54.77393596107533, 54.72389129561959, 54.67398275635772, 54.62420997083041, 54.574572567650414, 54.525070176498204, 54.475702428117636, 54.426468954311694, 54.37736938793826, 54.328403362905924, 54.279570514169855, 54.23087047772771, 54.182302890615574, 54.13386739090393, 54.08556361769372, 54.037391211112386, 53.98934981230998, 53.941439063455306, 53.89365860773209, 53.84600808933522, 53.79848715346695, 53.75109544633323, 53.703832615139994, 53.65669830808952, 53.609692174376804, 53.562813864186, 53.51606302868684, 53.469439320031114, 53.4229423913492, 53.37657189674658, 53.3303274913004, 53.284208831056084, 53.238215573023936, 53.19234737517581, 53.14660389644176, 53.10098479670677, 53.05548973680746, 53.010118378528844, 52.96487038460113, 52.91974541869647, 52.87474314542586, 52.829863230335924, 52.78510533990581, 52.74046914154411, 52.695954303585744, 52.65156049528891, 52.607287386832056, 52.56313464931085, 52.51910195473518, 52.475188976026196, 52.431395387013346, 52.38772086243143, 52.34416507791768, 52.30072771000888, 52.257408436138476, 52.214206934633715, 52.171122884712794, 52.128155966482055, 52.085305860933154, 52.042572249940285, 51.9999548162574, 51.95745324351546, 51.915067216219676, 51.872796419746805, 51.830640540342436, 51.78859926511828, 51.74667228204951, 51.7048592799721, 51.663159948580166, 51.621573978423335, 51.580101060904134, 51.53874088827538, 51.49749315363758, 51.45635755093637, 51.415333774959954, 51.374421521336544, 51.333620486531814, 51.2929303678464, 51.25235086341339, 51.21188167219579, 51.17152249398408, 51.13127302939372, 51.09113297986269, 51.05110204764907, 51.01117993582854, 50.971366348292015, 50.931660989743214, 50.89206356569625, 50.85257378247322, 50.81319134720189, 50.77391596781323, 50.734747353039154, 50.695685212410105, 50.65672925625274, 50.6178791956876, 50.579134742626806, 50.54049560977174, 50.50196151061075, 50.46353215941686, 50.425207271245505, 50.386986561932254, 50.34886974809056, 50.3108565471095, 50.27294667715156, 50.23513985715037, 50.19743580680853, 50.15983424659534, 50.12233489774466, 50.08493748225267, 50.04764172287571, 50.0104473431281, 49.97335406727997, 49.93636162035509, 49.89946972812874, 49.86267811712556, 49.82598651461741, 49.789394648621254, 49.752902247897026, 49.71650904194554, 49.68021476100639, 49.644019136055825, 49.6079218988047, 49.57192278169637, 49.53602151790465, 49.50021784133171, 49.464511486606064, 49.428902189080475, 49.39338968482996, 49.35797371064974, 49.32265400405318, 49.28743030326982, 49.25230234724335, 49.217269875629576, 49.182332628794455, 49.147490347812095, 49.11274277446276, 49.0780896512309, 49.04353072130318, 49.009065728566526, 48.97469441760616, 48.94041653370364, 48.906231822834926, 48.872140031668444, 48.838140907563144, 48.8042341985666, 48.77041965341306, 48.736697021521564, 48.70306605299401, 48.66952649861328, 48.636078109841336, 48.602720638817324, 48.56945383835571, 48.5362774619444, 48.50319126374286, 48.47019499858028, 48.43728842195368, 48.404471290026095, 48.3717433596247, 48.33910438823901, 48.30655413401899, 48.274092355773284, 48.24171881296737, 48.209433265721735, 48.177235474810075, 48.14512520165749, 48.113102208338695, 48.08116625757619, 48.04931711273853, 48.01755453783848, 47.98587829753129, 47.954288157112906, 47.922783882518175, 47.89136524031913, 47.86003199772322, 47.82878392257153, 47.797620783337095, 47.76654234912309, 47.73554838966117, 47.704638675309674, 47.67381297705195, 47.64307106649462, 47.61241271586585, 47.58183769801367, 47.551345786404255, 47.520936755120225, 47.49061037885896, 47.46036643293091, 47.43020469325791, 47.40012493637151, 47.370126939411286, 47.34021048012319, 47.31037533685787, 47.28062128856902, 47.25094811481174, 47.22135559574087, 47.19184351210933, 47.16241164526652, 47.133059777156674, 47.1037876903172, 47.0745951678771, 47.04548199355532, 47.01644795165915, 46.987492827082605, 46.95861640530482, 46.92981847238844, 46.901098814978056, 46.87245722029857, 46.843893476153646, 46.81540737092409, 46.78699869356631, 46.75866723361071, 46.73041278116013, 46.702235126888304, 46.674134062038256, 46.64610937842079, 46.6181608684129, 46.59028832495625, 46.56249154155561, 46.53477031227734, 46.50712443174784, 46.47955369515203, 46.45205789823181, 46.42463683728455, 46.39729030916159, 46.37001811126669, 46.34282004155454, 46.31569589852928, 46.28864548124295, 46.26166858929406, 46.234765022826025, 46.20793458252573, 46.18117706962204, 46.1544922858843, 46.12788003362089, 46.10134011567772, 46.0748723354368, 46.04847649681475, 46.022152404261355, 45.99589986275811, 45.96971867781677, 45.94360865547791, 45.917569602309456, 45.89160132540529, 45.865703632383784, 45.839876331386385, 45.81411923107618, 45.78843214063647, 45.76281486976939, 45.73726722869444, 45.71178902814711, 45.68638007937746, 45.66104019414873, 45.63576918473594, 45.61056686392448, 45.58543304500874, 45.560367541790704, 45.53537016857858, 45.51044074018543, 45.485579071927766, 45.46078497962421, 45.4360582795941, 45.41139878865615, 45.38680632412707, 45.362280703820225, 45.33782174604427, 45.31342926960181, 45.289103093788064, 45.26484303838949, 45.24064892368249, 45.21652057043205, 45.192457799890406, 45.16846043379574, 45.14452829437083, 45.12066120432176, 45.096858986836594, 45.073121465584045, 45.04944846471218, 45.025839808847124, 45.00229532309176, 44.9788148330244, 44.95539816469754, 44.932045144636525, 44.90875559983829, 44.885529357770054, 44.862366246368076, 44.83926609403634, 44.816228729645296, 44.79325398253061, 44.77034168249186, 44.74749165979131, 44.724703745152624, 44.701977769759644, 44.67931356525509, 44.65671096373936, 44.63416979776924, 44.61168990035671, 44.589271104967665, 44.5669132455207, 44.54461615638588, 44.522379672383494, 44.50020362878285, 44.47808786130104, 44.456032206101746, 44.43403649979398, 44.41210057943093, 44.39022428250869, 44.36840744696511, 44.34664991117856, 44.324951513966745, 44.303312094585515, 44.28173149272766, 44.26020954852172, 44.238746102530826, 44.21734099575148, 44.195994069612404, 44.174705165973364, 44.153474127123985, 44.13230079578259, 44.11118501509502, 44.09012662863349, 44.06912548039543, 44.0481814148023, 44.027294276698484, 44.006463911350096, 43.98569016444385, 43.964972882085924, 43.944311910800806, 43.92370709753017, 43.903158289631726, 43.882665334878105, 43.86222808145572, 43.841846377963634, 43.82152007341246, 43.80124901722322, 43.781033059226246, 43.76087204966005, 43.74076583917024, 43.72071427880837, 43.70071722003089, 43.680774514697994, 43.66088601507257, 43.64105157381906, 43.621271044002405, 43.60154427908692, 43.581871132935255, 43.562251459807264, 43.54268511435895, 43.5231719516414, 43.50371182709968, 43.48430459657177, 43.464950116287525, 43.445648242867584, 43.4263988333223, 43.40720174505071, 43.388056835839464, 43.368963963861745, 43.34992298767626, 43.33093376622616, 43.31199615883803, 43.293110025220805, 43.27427522546476, 43.25549162004047, 43.236759069797756, 43.21807743596467, 43.19944658014648, 43.1808663643246, 43.16233665085562, 43.14385730247026, 43.125428182272344, 43.10704915373781, 43.08872008071368, 43.07044082741705, 43.052211258434106, 43.034031238719095, 43.015900633593326, 42.9978193087442, 42.97978713022418, 42.96180396444983, 42.94386967820079, 42.92598413861882, 42.9081472132068 ], "yaxis": "y" }, { "hovertemplate": "Chemical=S
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "S", "line": { "color": "blue", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "S", "showlegend": true, "type": "scattergl", "x": [ 0, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009000000000000001, 0.010000000000000002, 0.011000000000000003, 0.012000000000000004, 0.013000000000000005, 0.014000000000000005, 0.015000000000000006, 0.016000000000000007, 0.017000000000000008, 0.01800000000000001, 0.01900000000000001, 0.02000000000000001, 0.02100000000000001, 0.022000000000000013, 0.023000000000000013, 0.024000000000000014, 0.025000000000000015, 0.026000000000000016, 0.027000000000000017, 0.028000000000000018, 0.02900000000000002, 0.03000000000000002, 0.03100000000000002, 0.03200000000000002, 0.03300000000000002, 0.03400000000000002, 0.035000000000000024, 0.036000000000000025, 0.037000000000000026, 0.03800000000000003, 0.03900000000000003, 0.04000000000000003, 0.04100000000000003, 0.04200000000000003, 0.04300000000000003, 0.04400000000000003, 0.04500000000000003, 0.046000000000000034, 0.047000000000000035, 0.048000000000000036, 0.04900000000000004, 0.05000000000000004, 0.05100000000000004, 0.05200000000000004, 0.05300000000000004, 0.05400000000000004, 0.05500000000000004, 0.05600000000000004, 0.057000000000000044, 0.058000000000000045, 0.059000000000000045, 0.060000000000000046, 0.06100000000000005, 0.06200000000000005, 0.06300000000000004, 0.06400000000000004, 0.06500000000000004, 0.06600000000000004, 0.06700000000000005, 0.06800000000000005, 0.06900000000000005, 0.07000000000000005, 0.07100000000000005, 0.07200000000000005, 0.07300000000000005, 0.07400000000000005, 0.07500000000000005, 0.07600000000000005, 0.07700000000000005, 0.07800000000000006, 0.07900000000000006, 0.08000000000000006, 0.08100000000000006, 0.08200000000000006, 0.08300000000000006, 0.08400000000000006, 0.08500000000000006, 0.08600000000000006, 0.08700000000000006, 0.08800000000000006, 0.08900000000000007, 0.09000000000000007, 0.09100000000000007, 0.09200000000000007, 0.09300000000000007, 0.09400000000000007, 0.09500000000000007, 0.09600000000000007, 0.09700000000000007, 0.09800000000000007, 0.09900000000000007, 0.10000000000000007, 0.10100000000000008, 0.10200000000000008, 0.10300000000000008, 0.10400000000000008, 0.10500000000000008, 0.10600000000000008, 0.10700000000000008, 0.10800000000000008, 0.10900000000000008, 0.11000000000000008, 0.11100000000000008, 0.11200000000000009, 0.11300000000000009, 0.11400000000000009, 0.11500000000000009, 0.11600000000000009, 0.11700000000000009, 0.11800000000000009, 0.11900000000000009, 0.12000000000000009, 0.1210000000000001, 0.1220000000000001, 0.1230000000000001, 0.1240000000000001, 0.12500000000000008, 0.12600000000000008, 0.12700000000000009, 0.12800000000000009, 0.1290000000000001, 0.1300000000000001, 0.1310000000000001, 0.1320000000000001, 0.1330000000000001, 0.1340000000000001, 0.1350000000000001, 0.1360000000000001, 0.1370000000000001, 0.1380000000000001, 0.1390000000000001, 0.1400000000000001, 0.1410000000000001, 0.1420000000000001, 0.1430000000000001, 0.1440000000000001, 0.1450000000000001, 0.1460000000000001, 0.1470000000000001, 0.1480000000000001, 0.1490000000000001, 0.1500000000000001, 0.1510000000000001, 0.1520000000000001, 0.1530000000000001, 0.1540000000000001, 0.1550000000000001, 0.1560000000000001, 0.1570000000000001, 0.1580000000000001, 0.1590000000000001, 0.16000000000000011, 0.16100000000000012, 0.16200000000000012, 0.16300000000000012, 0.16400000000000012, 0.16500000000000012, 0.16600000000000012, 0.16700000000000012, 0.16800000000000012, 0.16900000000000012, 0.17000000000000012, 0.17100000000000012, 0.17200000000000013, 0.17300000000000013, 0.17400000000000013, 0.17500000000000013, 0.17600000000000013, 0.17700000000000013, 0.17800000000000013, 0.17900000000000013, 0.18000000000000013, 0.18100000000000013, 0.18200000000000013, 0.18300000000000013, 0.18400000000000014, 0.18500000000000014, 0.18600000000000014, 0.18700000000000014, 0.18800000000000014, 0.18900000000000014, 0.19000000000000014, 0.19100000000000014, 0.19200000000000014, 0.19300000000000014, 0.19400000000000014, 0.19500000000000015, 0.19600000000000015, 0.19700000000000015, 0.19800000000000015, 0.19900000000000015, 0.20000000000000015, 0.20100000000000015, 0.20200000000000015, 0.20300000000000015, 0.20400000000000015, 0.20500000000000015, 0.20600000000000016, 0.20700000000000016, 0.20800000000000016, 0.20900000000000016, 0.21000000000000016, 0.21100000000000016, 0.21200000000000016, 0.21300000000000016, 0.21400000000000016, 0.21500000000000016, 0.21600000000000016, 0.21700000000000016, 0.21800000000000017, 0.21900000000000017, 0.22000000000000017, 0.22100000000000017, 0.22200000000000017, 0.22300000000000017, 0.22400000000000017, 0.22500000000000017, 0.22600000000000017, 0.22700000000000017, 0.22800000000000017, 0.22900000000000018, 0.23000000000000018, 0.23100000000000018, 0.23200000000000018, 0.23300000000000018, 0.23400000000000018, 0.23500000000000018, 0.23600000000000018, 0.23700000000000018, 0.23800000000000018, 0.23900000000000018, 0.24000000000000019, 0.2410000000000002, 0.2420000000000002, 0.2430000000000002, 0.2440000000000002, 0.2450000000000002, 0.2460000000000002, 0.2470000000000002, 0.2480000000000002, 0.2490000000000002, 0.25000000000000017, 0.25100000000000017, 0.25200000000000017, 0.25300000000000017, 0.25400000000000017, 0.25500000000000017, 0.25600000000000017, 0.2570000000000002, 0.2580000000000002, 0.2590000000000002, 0.2600000000000002, 0.2610000000000002, 0.2620000000000002, 0.2630000000000002, 0.2640000000000002, 0.2650000000000002, 0.2660000000000002, 0.2670000000000002, 0.2680000000000002, 0.2690000000000002, 0.2700000000000002, 0.2710000000000002, 0.2720000000000002, 0.2730000000000002, 0.2740000000000002, 0.2750000000000002, 0.2760000000000002, 0.2770000000000002, 0.2780000000000002, 0.2790000000000002, 0.2800000000000002, 0.2810000000000002, 0.2820000000000002, 0.2830000000000002, 0.2840000000000002, 0.2850000000000002, 0.2860000000000002, 0.2870000000000002, 0.2880000000000002, 0.2890000000000002, 0.2900000000000002, 0.2910000000000002, 0.2920000000000002, 0.2930000000000002, 0.2940000000000002, 0.2950000000000002, 0.2960000000000002, 0.2970000000000002, 0.2980000000000002, 0.2990000000000002, 0.3000000000000002, 0.3010000000000002, 0.3020000000000002, 0.3030000000000002, 0.3040000000000002, 0.3050000000000002, 0.3060000000000002, 0.3070000000000002, 0.3080000000000002, 0.3090000000000002, 0.3100000000000002, 0.3110000000000002, 0.3120000000000002, 0.3130000000000002, 0.3140000000000002, 0.3150000000000002, 0.3160000000000002, 0.3170000000000002, 0.3180000000000002, 0.31900000000000023, 0.32000000000000023, 0.32100000000000023, 0.32200000000000023, 0.32300000000000023, 0.32400000000000023, 0.32500000000000023, 0.32600000000000023, 0.32700000000000023, 0.32800000000000024, 0.32900000000000024, 0.33000000000000024, 0.33100000000000024, 0.33200000000000024, 0.33300000000000024, 0.33400000000000024, 0.33500000000000024, 0.33600000000000024, 0.33700000000000024, 0.33800000000000024, 0.33900000000000025, 0.34000000000000025, 0.34100000000000025, 0.34200000000000025, 0.34300000000000025, 0.34400000000000025, 0.34500000000000025, 0.34600000000000025, 0.34700000000000025, 0.34800000000000025, 0.34900000000000025, 0.35000000000000026, 0.35100000000000026, 0.35200000000000026, 0.35300000000000026, 0.35400000000000026, 0.35500000000000026, 0.35600000000000026, 0.35700000000000026, 0.35800000000000026, 0.35900000000000026, 0.36000000000000026, 0.36100000000000027, 0.36200000000000027, 0.36300000000000027, 0.36400000000000027, 0.36500000000000027, 0.36600000000000027, 0.36700000000000027, 0.36800000000000027, 0.36900000000000027, 0.3700000000000003, 0.3710000000000003, 0.3720000000000003, 0.3730000000000003, 0.3740000000000003, 0.3750000000000003, 0.3760000000000003, 0.3770000000000003, 0.3780000000000003, 0.3790000000000003, 0.3800000000000003, 0.3810000000000003, 0.3820000000000003, 0.3830000000000003, 0.3840000000000003, 0.3850000000000003, 0.3860000000000003, 0.3870000000000003, 0.3880000000000003, 0.3890000000000003, 0.3900000000000003, 0.3910000000000003, 0.3920000000000003, 0.3930000000000003, 0.3940000000000003, 0.3950000000000003, 0.3960000000000003, 0.3970000000000003, 0.3980000000000003, 0.3990000000000003, 0.4000000000000003, 0.4010000000000003, 0.4020000000000003, 0.4030000000000003, 0.4040000000000003, 0.4050000000000003, 0.4060000000000003, 0.4070000000000003, 0.4080000000000003, 0.4090000000000003, 0.4100000000000003, 0.4110000000000003, 0.4120000000000003, 0.4130000000000003, 0.4140000000000003, 0.4150000000000003, 0.4160000000000003, 0.4170000000000003, 0.4180000000000003, 0.4190000000000003, 0.4200000000000003, 0.4210000000000003, 0.4220000000000003, 0.4230000000000003, 0.4240000000000003, 0.4250000000000003, 0.4260000000000003, 0.4270000000000003, 0.4280000000000003, 0.4290000000000003, 0.4300000000000003, 0.4310000000000003, 0.43200000000000033, 0.43300000000000033, 0.43400000000000033, 0.43500000000000033, 0.43600000000000033, 0.43700000000000033, 0.43800000000000033, 0.43900000000000033, 0.44000000000000034, 0.44100000000000034, 0.44200000000000034, 0.44300000000000034, 0.44400000000000034, 0.44500000000000034, 0.44600000000000034, 0.44700000000000034, 0.44800000000000034, 0.44900000000000034, 0.45000000000000034, 0.45100000000000035, 0.45200000000000035, 0.45300000000000035, 0.45400000000000035, 0.45500000000000035, 0.45600000000000035, 0.45700000000000035, 0.45800000000000035, 0.45900000000000035, 0.46000000000000035, 0.46100000000000035, 0.46200000000000035, 0.46300000000000036, 0.46400000000000036, 0.46500000000000036, 0.46600000000000036, 0.46700000000000036, 0.46800000000000036, 0.46900000000000036, 0.47000000000000036, 0.47100000000000036, 0.47200000000000036, 0.47300000000000036, 0.47400000000000037, 0.47500000000000037, 0.47600000000000037, 0.47700000000000037, 0.47800000000000037, 0.47900000000000037, 0.48000000000000037, 0.48100000000000037, 0.4820000000000004, 0.4830000000000004, 0.4840000000000004, 0.4850000000000004, 0.4860000000000004, 0.4870000000000004, 0.4880000000000004, 0.4890000000000004, 0.4900000000000004, 0.4910000000000004, 0.4920000000000004, 0.4930000000000004, 0.4940000000000004, 0.4950000000000004, 0.4960000000000004, 0.4970000000000004, 0.4980000000000004, 0.4990000000000004, 0.5000000000000003, 0.5010000000000003, 0.5020000000000003, 0.5030000000000003, 0.5040000000000003, 0.5050000000000003, 0.5060000000000003, 0.5070000000000003, 0.5080000000000003, 0.5090000000000003, 0.5100000000000003, 0.5110000000000003, 0.5120000000000003, 0.5130000000000003, 0.5140000000000003, 0.5150000000000003, 0.5160000000000003, 0.5170000000000003, 0.5180000000000003, 0.5190000000000003, 0.5200000000000004, 0.5210000000000004, 0.5220000000000004, 0.5230000000000004, 0.5240000000000004, 0.5250000000000004, 0.5260000000000004, 0.5270000000000004, 0.5280000000000004, 0.5290000000000004, 0.5300000000000004, 0.5310000000000004, 0.5320000000000004, 0.5330000000000004, 0.5340000000000004, 0.5350000000000004, 0.5360000000000004, 0.5370000000000004, 0.5380000000000004, 0.5390000000000004, 0.5400000000000004, 0.5410000000000004, 0.5420000000000004, 0.5430000000000004, 0.5440000000000004, 0.5450000000000004, 0.5460000000000004, 0.5470000000000004, 0.5480000000000004, 0.5490000000000004, 0.5500000000000004, 0.5510000000000004, 0.5520000000000004, 0.5530000000000004, 0.5540000000000004, 0.5550000000000004, 0.5560000000000004, 0.5570000000000004, 0.5580000000000004, 0.5590000000000004, 0.5600000000000004, 0.5610000000000004, 0.5620000000000004, 0.5630000000000004, 0.5640000000000004, 0.5650000000000004, 0.5660000000000004, 0.5670000000000004, 0.5680000000000004, 0.5690000000000004, 0.5700000000000004, 0.5710000000000004, 0.5720000000000004, 0.5730000000000004, 0.5740000000000004, 0.5750000000000004, 0.5760000000000004, 0.5770000000000004, 0.5780000000000004, 0.5790000000000004, 0.5800000000000004, 0.5810000000000004, 0.5820000000000004, 0.5830000000000004, 0.5840000000000004, 0.5850000000000004, 0.5860000000000004, 0.5870000000000004, 0.5880000000000004, 0.5890000000000004, 0.5900000000000004, 0.5910000000000004, 0.5920000000000004, 0.5930000000000004, 0.5940000000000004, 0.5950000000000004, 0.5960000000000004, 0.5970000000000004, 0.5980000000000004, 0.5990000000000004, 0.6000000000000004, 0.6010000000000004, 0.6020000000000004, 0.6030000000000004, 0.6040000000000004, 0.6050000000000004, 0.6060000000000004, 0.6070000000000004, 0.6080000000000004, 0.6090000000000004, 0.6100000000000004, 0.6110000000000004, 0.6120000000000004, 0.6130000000000004, 0.6140000000000004, 0.6150000000000004, 0.6160000000000004, 0.6170000000000004, 0.6180000000000004, 0.6190000000000004, 0.6200000000000004, 0.6210000000000004, 0.6220000000000004, 0.6230000000000004, 0.6240000000000004, 0.6250000000000004, 0.6260000000000004, 0.6270000000000004, 0.6280000000000004, 0.6290000000000004, 0.6300000000000004, 0.6310000000000004, 0.6320000000000005, 0.6330000000000005, 0.6340000000000005, 0.6350000000000005, 0.6360000000000005, 0.6370000000000005, 0.6380000000000005, 0.6390000000000005, 0.6400000000000005, 0.6410000000000005, 0.6420000000000005, 0.6430000000000005, 0.6440000000000005, 0.6450000000000005, 0.6460000000000005, 0.6470000000000005, 0.6480000000000005, 0.6490000000000005, 0.6500000000000005, 0.6510000000000005, 0.6520000000000005, 0.6530000000000005, 0.6540000000000005, 0.6550000000000005, 0.6560000000000005, 0.6570000000000005, 0.6580000000000005, 0.6590000000000005, 0.6600000000000005, 0.6610000000000005, 0.6620000000000005, 0.6630000000000005, 0.6640000000000005, 0.6650000000000005, 0.6660000000000005, 0.6670000000000005, 0.6680000000000005, 0.6690000000000005, 0.6700000000000005, 0.6710000000000005, 0.6720000000000005, 0.6730000000000005, 0.6740000000000005, 0.6750000000000005, 0.6760000000000005, 0.6770000000000005, 0.6780000000000005, 0.6790000000000005, 0.6800000000000005, 0.6810000000000005, 0.6820000000000005, 0.6830000000000005, 0.6840000000000005, 0.6850000000000005, 0.6860000000000005, 0.6870000000000005, 0.6880000000000005, 0.6890000000000005, 0.6900000000000005, 0.6910000000000005, 0.6920000000000005, 0.6930000000000005, 0.6940000000000005, 0.6950000000000005, 0.6960000000000005, 0.6970000000000005, 0.6980000000000005, 0.6990000000000005, 0.7000000000000005, 0.7010000000000005, 0.7020000000000005, 0.7030000000000005, 0.7040000000000005, 0.7050000000000005, 0.7060000000000005, 0.7070000000000005, 0.7080000000000005, 0.7090000000000005, 0.7100000000000005, 0.7110000000000005, 0.7120000000000005, 0.7130000000000005, 0.7140000000000005, 0.7150000000000005, 0.7160000000000005, 0.7170000000000005, 0.7180000000000005, 0.7190000000000005, 0.7200000000000005, 0.7210000000000005, 0.7220000000000005, 0.7230000000000005, 0.7240000000000005, 0.7250000000000005, 0.7260000000000005, 0.7270000000000005, 0.7280000000000005, 0.7290000000000005, 0.7300000000000005, 0.7310000000000005, 0.7320000000000005, 0.7330000000000005, 0.7340000000000005, 0.7350000000000005, 0.7360000000000005, 0.7370000000000005, 0.7380000000000005, 0.7390000000000005, 0.7400000000000005, 0.7410000000000005, 0.7420000000000005, 0.7430000000000005, 0.7440000000000005, 0.7450000000000006, 0.7460000000000006, 0.7470000000000006, 0.7480000000000006, 0.7490000000000006, 0.7500000000000006, 0.7510000000000006, 0.7520000000000006, 0.7530000000000006, 0.7540000000000006, 0.7550000000000006, 0.7560000000000006, 0.7570000000000006, 0.7580000000000006, 0.7590000000000006, 0.7600000000000006, 0.7610000000000006, 0.7620000000000006, 0.7630000000000006, 0.7640000000000006, 0.7650000000000006, 0.7660000000000006, 0.7670000000000006, 0.7680000000000006, 0.7690000000000006, 0.7700000000000006, 0.7710000000000006, 0.7720000000000006, 0.7730000000000006, 0.7740000000000006, 0.7750000000000006, 0.7760000000000006, 0.7770000000000006, 0.7780000000000006, 0.7790000000000006, 0.7800000000000006, 0.7810000000000006, 0.7820000000000006, 0.7830000000000006, 0.7840000000000006, 0.7850000000000006, 0.7860000000000006, 0.7870000000000006, 0.7880000000000006, 0.7890000000000006, 0.7900000000000006, 0.7910000000000006, 0.7920000000000006, 0.7930000000000006, 0.7940000000000006, 0.7950000000000006, 0.7960000000000006, 0.7970000000000006, 0.7980000000000006, 0.7990000000000006, 0.8000000000000006 ], "xaxis": "x", "y": [ 0, 0.5, 0.9877, 1.4633991000000002, 1.9273891361000002, 2.3799548568847, 2.821374095525231, 3.2519179377019127, 3.6718508854495195, 4.081431017024053, 4.480910142887634, 4.870533957905774, 5.250542189848995, 5.621168744288526, 5.98264184597366, 6.335184176776172, 6.679013010285183, 7.0143403431337825, 7.341373023136791, 7.660312874317071, 7.971356818895957, 8.27469699632151, 8.570520879406523, 8.859011387646484, 9.140346997785926, 9.414701851700018, 9.682245861656575, 9.943144813022094, 10.197560464473874, 10.445650645778796, 10.687569353197832, 10.923466842573932, 11.153489720159566, 11.377781031238777, 11.59648034659732, 11.80972384689312, 12.017644404978057, 12.220371666220807, 12.418032126879273, 12.610749210569992, 12.798643342880686, 12.981832024171094, 13.160429900606031, 13.334548833463629, 13.504297966760632, 13.669783793235608, 13.831110218729952, 13.988378625005597, 14.141687931037362, 14.29113465281702, 14.436812961705177, 14.57881474136627, 14.717229643321039, 14.8521451411501, 14.983646583381317, 15.111817245092976, 15.236738378263915, 15.358489260901065, 15.477147244974045, 15.592787803185836, 15.70548457460774, 15.815309409206241, 15.92233241128866, 16.026621981893847, 16.128244860153547, 16.227266163649432, 16.32374942779016, 16.41775664423228, 16.509348298368234, 16.598583405903998, 16.6855195485486, 16.770212908837014, 16.852718304107434, 16.933089219653567, 17.011377841071884, 17.08763508582341, 17.161910634029137, 17.234252958517644, 17.304709354143114, 17.373325966391434, 17.440147819291674, 17.50521884264983, 17.56858189862124, 17.630278807637808, 17.69035037370562, 17.748836409088295, 17.805775758390975, 17.861206322059484, 17.91516507930889, 17.967688110495303, 18.01881061894445, 18.068566952250176, 18.1169906230558, 18.16411432933082, 18.209969974155293, 18.25458868502377, 18.298000832680504, 18.340236049497296, 18.381323247405078, 18.421290635390083, 18.460165736565163, 18.49797540482658, 18.534745841106325, 18.5705026092298, 18.605270651388427, 18.639074303236562, 18.671937308621807, 18.703882833957636, 18.734933482247026, 18.76511130676556, 18.79443782441227, 18.82293402873627, 18.850620402647113, 18.877516930816466, 18.90364311177867, 18.929017969737462, 18.953660066085988, 18.9775875106471, 19.000817972640704, 19.023368691384775, 19.045256486736562, 19.06649776928022, 19.087108550267075, 19.107104451314513, 19.12650071386935, 19.14531220844142, 19.16355344361293, 19.181238574829052, 19.19838141297506, 19.214995432745187, 19.231093780808266, 19.24668928377508, 19.261794455972257, 19.27642150702738, 19.29058234926992, 19.304288604952447, 19.317551613296494, 19.330382437367327, 19.34279187078177, 19.354790444253155, 19.36638843197734, 19.377595857863653, 19.388422501614524, 19.398877904657503, 19.408971375933216, 19.41871199754278, 19.42810863025807, 19.43716991889821, 19.44590429757547, 19.454319994813797, 19.46242503854305, 19.470227260971953, 19.477734303342732, 19.484953620570277, 19.49189248576866, 19.498557994667724, 19.504957069922455, 19.51109646531766, 19.51698276987058, 19.52262241183386, 19.528021662601322, 19.53318664051888, 19.538123314602934, 19.542837508168443, 19.54733490236892, 19.551621039650446, 19.555701327121813, 19.559581039842836, 19.563265324032802, 19.56675920020101, 19.57006756620129, 19.573195200212346, 19.576146763645735, 19.578926803983208, 19.58153975754517, 19.583989952191896, 19.586281609959162, 19.588418849629868, 19.590405689243205, 19.592246048542908, 19.59394375136603, 19.595502527973725, 19.59692601732542, 19.598217769297772, 19.599381246849727, 19.600419828135006, 19.601336808563293, 19.602135402811356, 19.602818746785356, 19.603389899535475, 19.60385184512405, 19.604207494448367, 19.604459687019148, 19.604611192695884, 19.604664713380007, 19.604622884666938, 19.60448827745804, 19.604263399533394, 19.6039506970864, 19.603552556221107, 19.60307130441317, 19.602509211935335, 19.60186849324831, 19.60115130835785, 19.600359764138876, 19.599495915627465, 19.598561767281428, 19.5975592742103, 19.596490343375454, 19.59535683476105, 19.59416056251657, 19.5929032960716, 19.591586761223517, 19.590212641198793, 19.588782577688495, 19.587298171858656, 19.585760985336094, 19.5841725411703, 19.58253432477195, 19.580847784828638, 19.579114334198362, 19.577335350781304, 19.57551217837045, 19.573646127481535, 19.57173847616285, 19.569790470785353, 19.567803326813625, 19.56577822955806, 19.563716334908825, 19.56161877005197, 19.55948663416815, 19.557320999114364, 19.555122910089175, 19.552893386281728, 19.550633421505015, 19.54834398481378, 19.546026021107387, 19.543680451718068, 19.541308174984866, 19.53891006681365, 19.536486981223508, 19.534039750879888, 19.531569187614785, 19.529076082934285, 19.526561208513773, 19.524025316681143, 19.521469140888232, 19.518893396170828, 19.516298779597495, 19.513685970707495, 19.51105563193807, 19.508408409041355, 19.505744931491144, 19.50306581287979, 19.500371651305464, 19.497663029749997, 19.49494051644754, 19.492204665244284, 19.489456015949433, 19.486695094677636, 19.483922414183123, 19.481138474185716, 19.4783437616889, 19.475538751290205, 19.472723905484003, 19.46989967495698, 19.467066498876427, 19.4642248051715, 19.461375010807682, 19.458517522054546, 19.45565273474703, 19.45278103454036, 19.44990279715878, 19.447018388638224, 19.444128165563107, 19.44123247529737, 19.43833165620988, 19.43542603789438, 19.432515941384093, 19.42960167936108, 19.426683556360558, 19.423761868970214, 19.42083690602469, 19.41790894879534, 19.414978271175386, 19.41204513986055, 19.409109814525316, 19.406172547994903, 19.40323358641305, 19.400293169405746, 19.397351530240933, 19.394408895984387, 19.391465487651775, 19.388521520357006, 19.38557720345701, 19.382632740692973, 19.379688330328136, 19.376744165282265, 19.37380043326283, 19.37085731689301, 19.367914993836578, 19.364973636919757, 19.362033414250096, 19.35909448933248, 19.3561570211823, 19.35322116443588, 19.350287069458215, 19.347354882448094, 19.34442474554066, 19.341496796907485, 19.338571170854202, 19.33564799791576, 19.33272740494938, 19.329809515225232, 19.32689444851491, 19.32398232117776, 19.32107324624511, 19.318167333502444, 19.315264689569577, 19.31236541797889, 19.309469619251637, 19.306577390972432, 19.303688827861897, 19.300804021847544, 19.297923062132938, 19.295046035265184, 19.292173025200757, 19.289304113369745, 19.286439378738507, 19.28357889787083, 19.28072274498758, 19.277870992024923, 19.275023708691087, 19.27218096252179, 19.26934281893429, 19.266509341280127, 19.263680590896577, 19.26085662715686, 19.258037507519113, 19.255223287574193, 19.25241402109229, 19.249609760068417, 19.2468105547668, 19.24401645376416, 19.24122750399198, 19.238443750777698, 19.235665237884938, 19.23289200755273, 19.230124100533793, 19.227361556131868, 19.22460441223816, 19.221852705366878, 19.219106470689912, 19.21636574207067, 19.213630552097083, 19.210900932113805, 19.208176912253638, 19.205458521468174, 19.20274578755771, 19.200038737200412, 19.19733739598078, 19.194641788417428, 19.191951937990147, 19.189267867166368, 19.186589597426924, 19.18391714929121, 19.181250542341733, 19.178589795248037, 19.175934925790077, 19.173285950880995, 19.170642886589356, 19.168005748160834, 19.165374550039367, 19.1627493058878, 19.160130028608023, 19.157516730360612, 19.154909422583994, 19.152308116013142, 19.14971282069781, 19.147123546020335, 19.144540300712986, 19.1419630928749, 19.139391929988594, 19.13682681893609, 19.134267766014624, 19.131714776951988, 19.129167856921484, 19.126627010556525, 19.124092241964863, 19.12156355474248, 19.11904095198713, 19.116524436311565, 19.114014009856408, 19.11150967430274, 19.109011430884376, 19.1065192803998, 19.104033223223873, 19.101553259319186, 19.099079388247194, 19.096611609179032, 19.094149920906084, 19.0916943218503, 19.089244810074245, 19.086801383290897, 19.084364038873236, 19.081932773863556, 19.079507584982572, 19.077088468638298, 19.07467542093471, 19.07226843768019, 19.06986751439576, 19.06747264632312, 19.065083828432495, 19.06270105543026, 19.06032432176641, 19.057953621641822, 19.055588949015362, 19.05323029761079, 19.050877660923504, 19.04853103222713, 19.046190404579942, 19.0438557708311, 19.041527123626775, 19.03920445541609, 19.036887758456935, 19.03457702482162, 19.0322722464024, 19.02997341491686, 19.02768052191317, 19.025393558775193, 19.023112516727494, 19.020837386840206, 19.01856816003377, 19.016304827083577, 19.014047378624475, 19.01179580515518, 19.00955009704257, 19.007310244525858, 19.005076237720694, 19.00284806662313, 19.00062572111351, 18.998409190960256, 18.996198465823543, 18.99399353525892, 18.991794388720795, 18.989601015565874, 18.98741340505648, 18.98523154636381, 18.98305542857111, 18.980885040676753, 18.97872037159726, 18.976561410170227, 18.9744081451572, 18.97226056524645, 18.970118659055714, 18.96798241513482, 18.965851821968293, 18.96372686797786, 18.961607541524923, 18.959493830912926, 18.957385724389713, 18.955283210149787, 18.953186276336528, 18.951094911044358, 18.949009102320836, 18.946928838168724, 18.944854106547965, 18.942784895377645, 18.940721192537893, 18.93866298587172, 18.936610263186825, 18.934563012257357, 18.932521220825613, 18.930484876603717, 18.92845396727524, 18.92642848049677, 18.924408403899484, 18.92239372509061, 18.92038443165492, 18.918380511156137, 18.91638195113833, 18.91438873912727, 18.91240086263173, 18.91041830914479, 18.908441066145063, 18.906469121097924, 18.904502461456694, 18.902541074663784, 18.900584948151824, 18.898634069344762, 18.896688425658912, 18.894748004504002, 18.892812793284183, 18.890882779399, 18.88895795024436, 18.887038293213458, 18.885123795697673, 18.88321444508746, 18.88131022877321, 18.879411134146068, 18.87751714859876, 18.875628259526373, 18.873744454327134, 18.871865720403147, 18.86999204516112, 18.86812341601308, 18.86625982037706, 18.864401245677755, 18.862547679347184, 18.860699108825326, 18.85885552156072, 18.857016905011076, 18.85518324664385, 18.85335453393681, 18.85153075437858, 18.84971189546918, 18.847897944720547, 18.846088889657025, 18.844284717815867, 18.842485416747703, 18.840690974017004, 18.83890137720253, 18.83711661389776, 18.835336671711325, 18.833561538267404, 18.831791201206137, 18.830025648183998, 18.82826486687418, 18.826508844966945, 18.824757570169993, 18.82301103020879, 18.821269212826905, 18.81953210578634, 18.817799696867823, 18.816071973871125, 18.814348924615345, 18.812630536939196, 18.810916798701278, 18.809207697780344, 18.807503222075564, 18.805803359506758, 18.80410809801465, 18.802417425561107, 18.800731330129338, 18.799049799724138, 18.79737282237209, 18.795700386121766, 18.794032479043924, 18.792369089231702, 18.790710204800792, 18.789055813889625, 18.787405904659543, 18.78576046529496, 18.78411948400351, 18.782482949016224, 18.780850848587647, 18.77922317099601, 18.777599904543337, 18.7759810375556, 18.774366558382834, 18.772756455399254, 18.771150717003376, 18.76954933161813, 18.767952287690964, 18.766359573693943, 18.764771178123855, 18.763187089502296, 18.761607296375765, 18.76003178731574, 18.758460550918777, 18.75689357580657, 18.755330850626027, 18.753772364049357, 18.75221810477412, 18.750668061523285, 18.74912222304531, 18.747580578114174, 18.74604311552946, 18.744509824116378, 18.742980692725823, 18.741455710234423, 18.73993486554457, 18.73841814758447, 18.736905545308165, 18.735397047695578, 18.733892643752544, 18.732392322510822, 18.730896073028138, 18.7294038843882, 18.727915745700724, 18.72643164610144, 18.72495157475212, 18.723475520840587, 18.72200347358073, 18.720535422212517, 18.71907135600199, 18.71761126424128, 18.716155136248613, 18.714702961368307, 18.713254728970778, 18.71181042845253, 18.710370049236165, 18.708933580770363, 18.70750101252989, 18.706072334015577, 18.704647534754322, 18.70322660429908, 18.701809532228832, 18.700396308148598, 18.698986921689404, 18.69758136250827, 18.696179620288195, 18.694781684738135, 18.69338754559299, 18.69199719261357, 18.690610615586586, 18.689227804324616, 18.68784874866609, 18.68647343847526, 18.68510186364217, 18.683734014082635, 18.682369879738207, 18.68100945057615, 18.679652716589402, 18.678299667796562, 18.676950294241834, 18.675604585995007, 18.674262533151424, 18.672924125831944, 18.671589354182903, 18.67025820837608, 18.668930678608664, 18.667606755103215, 18.666286428107625, 18.66496968789508, 18.66365652476402, 18.662346929038094, 18.661040891066136, 18.659738401222103, 18.65843944990505, 18.657144027539076, 18.65585212457329, 18.654563731481762, 18.653278838763484, 18.651997436942324, 18.650719516566976, 18.649445068210923, 18.64817408247239, 18.646906549974297, 18.645642461364208, 18.644381807314293, 18.643124578521277, 18.64187076570639, 18.640620359615323, 18.639373351018175, 18.638129730709416, 18.636889489507826, 18.635652618256454, 18.634419107822563, 18.63318894909758, 18.631962132997057, 18.630738650460607, 18.62951849245186, 18.628301649958424, 18.627088113991807, 18.625877875587392, 18.62467092580437, 18.623467255725703, 18.622266856458058, 18.62106971913176, 18.619875834900746, 18.618685194942508, 18.617497790458035, 18.616313612671778, 18.61513265283158, 18.613954902208633, 18.612780352097417, 18.611608993815658, 18.61044081870427, 18.609275818127294, 18.608113983471863, 18.606955306148134, 18.605799777589233, 18.60464738925122, 18.603498132613012, 18.602351999176346, 18.601208980465717, 18.60006906802833, 18.59893225343404, 18.597798528275305, 18.59666788416713, 18.59554031274701, 18.594415805674878, 18.593294354633052, 18.59217595132618, 18.591060587481188, 18.589948254847222, 18.5888389451956, 18.587732650319754, 18.586629362035172, 18.58552907217935, 18.584431772611744, 18.583337455213698, 18.58224611188841, 18.581157734560858, 18.580072315177766, 18.578989845707536, 18.5779103181402, 18.57683372448737, 18.575760056782165, 18.574689307079186, 18.57362146745444, 18.572556530005293, 18.571494486850423, 18.57043533012975, 18.569379052004408, 18.56832564465666, 18.56727510028987, 18.566227411128434, 18.56518256941774, 18.564140567424097, 18.563101397434703, 18.56206505175757, 18.561031522721493, 18.560000802675972, 18.55897288399118, 18.557947759057903, 18.55692542028748, 18.55590586011176, 18.554889070983045, 18.55387504537404, 18.55286377577779, 18.551855254707647, 18.550849474697195, 18.549846428300214, 18.548846108090622, 18.547848506662422, 18.546853616629647, 18.545861430626317, 18.544871941306383, 18.543885141343665, 18.542901023431813, 18.541919580284254, 18.540940804634133, 18.539964689234264, 18.538991226857085, 18.538020410294603, 18.537052232358334, 18.536086685879265, 18.535123763707794, 18.534163458713685, 18.533205763786015, 18.532250671833115, 18.53129817578253, 18.530348268580973, 18.529400943194258, 18.528456192607255, 18.52751400982385, 18.526574387866887, 18.525637319778113, 18.524702798618137, 18.523770817466374, 18.522841369421002, 18.5219144475989, 18.520990045135612, 18.520068155185292, 18.519148770920655, 18.51823188553292, 18.517317492231772, 18.51640558424531, 18.515496154819992, 18.5145891972206, 18.513684704730174, 18.512782670649973, 18.511883088299424, 18.510985951016078, 18.510091252155554, 18.509198985091498, 18.508309143215527, 18.50742171993719, 18.50653670868392, 18.505654102900973, 18.50477389605139, 18.503896081615956, 18.503020653093138, 18.50214760399905, 18.501276927867398, 18.500408618249438, 18.49954266871392, 18.49867907284706, 18.49781782425247, 18.496958916551122, 18.496102343381313, 18.495248098398598, 18.49439617527575, 18.493546567702726, 18.492699269386605, 18.49185427405155, 18.491011575438765, 18.490171167306436, 18.4893330434297 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "title": { "text": "Chemical" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Changes in concentrations for 2 reactions" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 0.8000000000000006 ], "title": { "text": "SYSTEM TIME" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -5.555555555555555, 105.55555555555556 ], "title": { "text": "concentration" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dynamics.plot_history(colors=['green', 'orange', 'blue'])" ] }, { "cell_type": "markdown", "id": "ba550457-9999-4c93-939a-71481735fc9d", "metadata": {}, "source": [ "# Run 2 : very small time steps, with dynamic substeps" ] }, { "cell_type": "code", "execution_count": 7, "id": "d9592a2c-7ae5-4456-80c5-2b08c1bfce5f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "single_compartment_react(): setting abs_fast_threshold to 50.0\n", "80 total step(s) taken\n", "From time 0 to 0.44, in 176 substeps of 0.0025 (each 1/4 of full step)\n", "From time 0.44 to 0.8, in 36 FULL steps of 0.01\n", "(for a grand total of the equivalent of 80 FULL steps)\n" ] } ], "source": [ "dynamics = ReactionDynamics(chem_data=chem_data)\n", "dynamics.set_conc(conc={\"U\": 50., \"X\": 100., \"S\": 0.})\n", "#dynamics.describe_state()\n", "\n", "dynamics.set_diagnostics() # To save diagnostic information about the call to single_compartment_react()\n", "\n", "dynamics.single_compartment_react(time_step=0.01, stop_time=0.8,\n", " dynamic_substeps=4, rel_fast_threshold=50)\n", "\n", "df = dynamics.get_history()\n", "#df\n", "dynamics.explain_time_advance()" ] }, { "cell_type": "code", "execution_count": 8, "id": "26c6a000-980a-4758-adc5-b7cb8e3d7134", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Chemical=U
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "U", "line": { "color": "green", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "U", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.0025, 0.005, 0.0075, 0.01, 0.0125, 0.015, 0.0175, 0.02, 0.0225, 0.025, 0.0275, 0.03, 0.0325, 0.034999999999999996, 0.0375, 0.04, 0.0425, 0.045, 0.0475, 0.05, 0.052500000000000005, 0.055, 0.0575, 0.060000000000000005, 0.0625, 0.065, 0.0675, 0.07, 0.07250000000000001, 0.07500000000000001, 0.07750000000000001, 0.08, 0.0825, 0.085, 0.0875, 0.09, 0.0925, 0.095, 0.0975, 0.09999999999999999, 0.1025, 0.105, 0.10749999999999998, 0.10999999999999999, 0.11249999999999999, 0.11499999999999999, 0.1175, 0.11999999999999998, 0.12249999999999998, 0.12499999999999999, 0.12749999999999997, 0.12999999999999998, 0.13249999999999998, 0.13499999999999998, 0.13749999999999998, 0.13999999999999999, 0.1425, 0.145, 0.1475, 0.15, 0.1525, 0.155, 0.1575, 0.16, 0.1625, 0.165, 0.1675, 0.17, 0.17250000000000001, 0.17500000000000002, 0.17750000000000002, 0.18000000000000002, 0.18250000000000002, 0.18500000000000003, 0.18750000000000003, 0.19000000000000003, 0.19250000000000003, 0.19500000000000003, 0.19750000000000004, 0.20000000000000004, 0.20250000000000004, 0.20500000000000004, 0.20750000000000005, 0.21000000000000005, 0.21250000000000005, 0.21500000000000005, 0.21750000000000005, 0.22000000000000006, 0.22250000000000006, 0.22500000000000006, 0.22750000000000006, 0.23000000000000007, 0.23250000000000007, 0.23500000000000007, 0.23750000000000007, 0.24000000000000007, 0.24250000000000008, 0.24500000000000008, 0.24750000000000008, 0.25000000000000006, 0.25250000000000006, 0.25500000000000006, 0.25750000000000006, 0.26000000000000006, 0.26250000000000007, 0.26500000000000007, 0.26750000000000007, 0.2700000000000001, 0.2725000000000001, 0.2750000000000001, 0.2775000000000001, 0.2800000000000001, 0.2825000000000001, 0.2850000000000001, 0.2875000000000001, 0.2900000000000001, 0.2925000000000001, 0.2950000000000001, 0.2975000000000001, 0.3000000000000001, 0.3025000000000001, 0.3050000000000001, 0.3075000000000001, 0.3100000000000001, 0.3125000000000001, 0.3150000000000001, 0.3175000000000001, 0.3200000000000001, 0.3225000000000001, 0.3250000000000001, 0.3275000000000001, 0.3300000000000001, 0.33250000000000013, 0.33500000000000013, 0.33750000000000013, 0.34000000000000014, 0.34250000000000014, 0.34500000000000014, 0.34750000000000014, 0.35000000000000014, 0.35250000000000015, 0.35500000000000015, 0.35750000000000015, 0.36000000000000015, 0.36250000000000016, 0.36500000000000016, 0.36750000000000016, 0.37000000000000016, 0.37250000000000016, 0.37500000000000017, 0.37750000000000017, 0.38000000000000017, 0.3825000000000002, 0.3850000000000002, 0.3875000000000002, 0.3900000000000002, 0.3925000000000002, 0.3950000000000002, 0.3975000000000002, 0.4000000000000002, 0.4025000000000002, 0.4050000000000002, 0.4075000000000002, 0.4100000000000002, 0.4125000000000002, 0.4150000000000002, 0.4175000000000002, 0.4200000000000002, 0.4225000000000002, 0.4250000000000002, 0.4275000000000002, 0.4300000000000002, 0.4325000000000002, 0.4350000000000002, 0.4375000000000002, 0.4400000000000002, 0.45000000000000023, 0.46000000000000024, 0.47000000000000025, 0.48000000000000026, 0.49000000000000027, 0.5000000000000002, 0.5100000000000002, 0.5200000000000002, 0.5300000000000002, 0.5400000000000003, 0.5500000000000003, 0.5600000000000003, 0.5700000000000003, 0.5800000000000003, 0.5900000000000003, 0.6000000000000003, 0.6100000000000003, 0.6200000000000003, 0.6300000000000003, 0.6400000000000003, 0.6500000000000004, 0.6600000000000004, 0.6700000000000004, 0.6800000000000004, 0.6900000000000004, 0.7000000000000004, 0.7100000000000004, 0.7200000000000004, 0.7300000000000004, 0.7400000000000004, 0.7500000000000004, 0.7600000000000005, 0.7700000000000005, 0.7800000000000005, 0.7900000000000005, 0.8000000000000005 ], "xaxis": "x", "y": [ 50, 49.75, 49.52625, 49.32708125, 49.1509268125, 48.996315378515625, 48.861865459015036, 48.7462799289871, 48.64834090273422, 48.56690492028269, 48.50089842602426, 48.44931352184866, 48.411203978104176, 48.38568148673468, 48.36015899536519, 48.334636503995696, 48.3091140126262, 48.32910332480102, 48.34909263697583, 48.36908194915065, 48.38907126132547, 48.442744617008536, 48.4964179726916, 48.55009132837467, 48.60376468405772, 48.76047549850773, 48.91832227671275, 49.07716369790836, 49.23686751189667, 49.31895457785295, 49.405190559008524, 49.495261542672736, 49.588873093834025, 49.68574906990557, 49.78563050744108, 49.88827457645161, 49.99345359821961, 50.10095412275548, 50.21057606227592, 50.322131877303086, 50.43544581219023, 50.550353177073106, 50.66669967342886, 50.78434076059506, 50.903141060762245, 51.0229738001044, 51.143720283853405, 51.2652694032568, 51.38751717248338, 51.51036629365832, 51.63372574832031, 51.75751041369647, 51.881640702288564, 52.00604222335504, 52.130645464959834, 52.25538549533917, 52.38020168241361, 52.5050374303437, 52.629839932094505, 52.754559937037115, 52.879151532674115, 53.003571939631584, 53.127781319112195, 53.25174259205277, 53.375421269275726, 53.49878529196691, 53.62180488185286, 53.74445240048857, 53.866702217102606, 53.988530584479996, 54.10991552239486, 54.23083670813437, 54.351275373683464, 54.4712142091659, 54.59063727216162, 54.709529902543856, 54.82787864250052, 54.94567116142532, 55.062896185382655, 55.17954343086878, 55.29560354260812, 55.41106803513983, 55.52592923796432, 55.64018024403366, 55.75381486138266, 55.86682756770994, 55.97921346772981, 56.090968253126654, 56.20208816495377, 56.31256995832815, 56.422410869281705, 56.53160858363809, 56.64016120779184, 56.74806724127446, 56.85532555099879, 56.9619353470797, 57.06789616013537, 57.173207819979105, 57.27787043561733, 57.38188437647424, 57.485250254768616, 57.587968908972826, 57.69004138828816, 57.79146893807475, 57.89225298617808, 57.99239513009748, 58.09189712494552, 58.19076087215015, 58.288988408854436, 58.38658189797142, 58.48354361885435, 58.57987595854477, 58.67558140356331, 58.770662532210196, 58.865122007344446, 58.9589625696126, 59.05218703109963, 59.14479826937632, 59.236799221919, 59.32819288087893, 59.41898228818002, 59.509170530924926, 59.59876073709068, 59.68775607149624, 59.77615973202537, 59.86397494608929, 59.95120496731444, 60.03785307244163, 60.12392255842372, 60.20941673970964, 60.2943389457034, 60.37869251838746, 60.46248081010024, 60.54570718145857, 60.628374999416046, 60.71048763544904, 60.79204846386256, 60.87306086020853, 60.95352819980981, 61.03345385638317, 61.112841200755405, 61.191693599666756, 61.27001441465628, 61.347807001024144, 61.425074706866134, 61.50182087217587, 61.578048828010616, 61.65376189571674, 61.72896338621115, 61.803656599315204, 61.87784482313792, 61.951531333505386, 62.0247193934335, 62.0974122526414, 62.16961314710297, 62.24132529863417, 62.31255191451385, 62.38329618713595, 62.45356129369132, 62.52335039587702, 62.592666639631524, 62.66151315489431, 62.729893055388004, 62.79780943842198, 62.86526538471582, 62.93226395824147, 62.99880820608295, 63.06490115831235, 63.130545827881264, 63.19574521052647, 63.26050228468912, 63.32482001144645, 63.38870133445523, 63.452149179906186, 63.51516645648874, 63.57777253980198, 63.63998593354302, 63.887339434341314, 64.12788358276269, 64.36182437084364, 64.5893571144965, 64.81066797651552, 65.02593514883372, 65.23532977598101, 65.43901668181623, 65.63715494655446, 65.82989836971339, 66.01739584597215, 66.19979167440093, 66.37722581657053, 66.54983411530328, 66.71774848298884, 66.88109706623828, 67.04000439202265, 67.19459149920807, 67.34497605846607, 67.49127248282964, 67.63359203062917, 67.77204290213615, 67.9067303309341, 68.0377566708025, 68.16522147872226, 68.28922159447639, 68.40985121721734, 68.52720197929469, 68.64136301757752, 68.75242104246064, 68.8604604047093, 68.96556316027059, 69.06780913315924, 69.16727597651018, 69.26403923187752, 69.3581723868507 ], "yaxis": "y" }, { "hovertemplate": "Chemical=X
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "X", "line": { "color": "orange", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "X", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.0025, 0.005, 0.0075, 0.01, 0.0125, 0.015, 0.0175, 0.02, 0.0225, 0.025, 0.0275, 0.03, 0.0325, 0.034999999999999996, 0.0375, 0.04, 0.0425, 0.045, 0.0475, 0.05, 0.052500000000000005, 0.055, 0.0575, 0.060000000000000005, 0.0625, 0.065, 0.0675, 0.07, 0.07250000000000001, 0.07500000000000001, 0.07750000000000001, 0.08, 0.0825, 0.085, 0.0875, 0.09, 0.0925, 0.095, 0.0975, 0.09999999999999999, 0.1025, 0.105, 0.10749999999999998, 0.10999999999999999, 0.11249999999999999, 0.11499999999999999, 0.1175, 0.11999999999999998, 0.12249999999999998, 0.12499999999999999, 0.12749999999999997, 0.12999999999999998, 0.13249999999999998, 0.13499999999999998, 0.13749999999999998, 0.13999999999999999, 0.1425, 0.145, 0.1475, 0.15, 0.1525, 0.155, 0.1575, 0.16, 0.1625, 0.165, 0.1675, 0.17, 0.17250000000000001, 0.17500000000000002, 0.17750000000000002, 0.18000000000000002, 0.18250000000000002, 0.18500000000000003, 0.18750000000000003, 0.19000000000000003, 0.19250000000000003, 0.19500000000000003, 0.19750000000000004, 0.20000000000000004, 0.20250000000000004, 0.20500000000000004, 0.20750000000000005, 0.21000000000000005, 0.21250000000000005, 0.21500000000000005, 0.21750000000000005, 0.22000000000000006, 0.22250000000000006, 0.22500000000000006, 0.22750000000000006, 0.23000000000000007, 0.23250000000000007, 0.23500000000000007, 0.23750000000000007, 0.24000000000000007, 0.24250000000000008, 0.24500000000000008, 0.24750000000000008, 0.25000000000000006, 0.25250000000000006, 0.25500000000000006, 0.25750000000000006, 0.26000000000000006, 0.26250000000000007, 0.26500000000000007, 0.26750000000000007, 0.2700000000000001, 0.2725000000000001, 0.2750000000000001, 0.2775000000000001, 0.2800000000000001, 0.2825000000000001, 0.2850000000000001, 0.2875000000000001, 0.2900000000000001, 0.2925000000000001, 0.2950000000000001, 0.2975000000000001, 0.3000000000000001, 0.3025000000000001, 0.3050000000000001, 0.3075000000000001, 0.3100000000000001, 0.3125000000000001, 0.3150000000000001, 0.3175000000000001, 0.3200000000000001, 0.3225000000000001, 0.3250000000000001, 0.3275000000000001, 0.3300000000000001, 0.33250000000000013, 0.33500000000000013, 0.33750000000000013, 0.34000000000000014, 0.34250000000000014, 0.34500000000000014, 0.34750000000000014, 0.35000000000000014, 0.35250000000000015, 0.35500000000000015, 0.35750000000000015, 0.36000000000000015, 0.36250000000000016, 0.36500000000000016, 0.36750000000000016, 0.37000000000000016, 0.37250000000000016, 0.37500000000000017, 0.37750000000000017, 0.38000000000000017, 0.3825000000000002, 0.3850000000000002, 0.3875000000000002, 0.3900000000000002, 0.3925000000000002, 0.3950000000000002, 0.3975000000000002, 0.4000000000000002, 0.4025000000000002, 0.4050000000000002, 0.4075000000000002, 0.4100000000000002, 0.4125000000000002, 0.4150000000000002, 0.4175000000000002, 0.4200000000000002, 0.4225000000000002, 0.4250000000000002, 0.4275000000000002, 0.4300000000000002, 0.4325000000000002, 0.4350000000000002, 0.4375000000000002, 0.4400000000000002, 0.45000000000000023, 0.46000000000000024, 0.47000000000000025, 0.48000000000000026, 0.49000000000000027, 0.5000000000000002, 0.5100000000000002, 0.5200000000000002, 0.5300000000000002, 0.5400000000000003, 0.5500000000000003, 0.5600000000000003, 0.5700000000000003, 0.5800000000000003, 0.5900000000000003, 0.6000000000000003, 0.6100000000000003, 0.6200000000000003, 0.6300000000000003, 0.6400000000000003, 0.6500000000000004, 0.6600000000000004, 0.6700000000000004, 0.6800000000000004, 0.6900000000000004, 0.7000000000000004, 0.7100000000000004, 0.7200000000000004, 0.7300000000000004, 0.7400000000000004, 0.7500000000000004, 0.7600000000000005, 0.7700000000000005, 0.7800000000000005, 0.7900000000000005, 0.8000000000000005 ], "xaxis": "x", "y": [ 100, 99.25, 98.524375, 97.8217890625, 97.14098637109375, 96.48078637336914, 95.84007921861287, 95.21782147242364, 94.61303209142447, 94.0247886422854, 93.4522237502255, 92.8945217630647, 92.35091561774027, 91.82068389699799, 91.3031480647135, 90.79802246339649, 90.3050278628502, 89.82389131555728, 89.35298066121321, 88.89206581722664, 88.44092187786453, 87.9993289977728, 87.56606175681266, 87.14093282810363, 86.72375909962007, 86.31436157935688, 85.90947417886612, 85.50896134154026, 85.11269480041835, 84.72055314205204, 84.33477205902028, 83.95508397092208, 83.58123673529614, 83.21299271593696, 82.85012790773122, 82.49243111458404, 82.13970317721234, 81.79175624777848, 81.4484131085208, 81.1095065317108, 80.77487867842821, 80.44438053379787, 80.11787137647522, 79.79521828030167, 79.47629564617702, 79.16098476231517, 78.84917339115994, 78.54075538134323, 78.23563030316532, 77.9337031061696, 77.63488379747103, 77.33908713957833, 77.04623236652692, 76.75624291721141, 76.4690461848735, 76.18457328176505, 75.90275881806517, 75.62354069418629, 75.34685990565679, 75.07266035981667, 74.80088870360969, 74.53149416179825, 74.26442838496884, 73.99964530673367, 73.73710100957058, 73.47675359877697, 73.21856308404547, 72.96249126819886, 72.70850164264974, 72.45655928917704, 72.20663078763616, 71.9586841292425, 71.71268863509052, 71.46861487959048, 71.2264346185247, 70.98612072144306, 70.74764710813427, 70.51098868892623, 70.27612130858263, 70.04302169357804, 69.81166740254648, 69.58203677971093, 69.35410891111324, 69.12786358347427, 68.9032812455251, 68.6803429716593, 68.45903042776567, 68.23932583910904, 68.02121196013529, 67.80467204608364, 67.58968982629692, 67.37624947912678, 67.16433560833728, 66.95393322091594, 66.7450277062071, 66.53760481628747, 66.33165064750861, 66.1271516231356, 65.92409447701569, 65.72246623821431, 65.52225421656026, 65.32344598904459, 65.1260293870219, 64.92999248416527, 64.73532358512931, 64.54201121487856, 64.35004410864086, 64.15941120244807, 63.97010162422849, 63.782104685417714, 63.595409873056674, 63.41000684234727, 63.22588540963811, 63.043035545814355, 62.861447370067225, 62.68111114402038, 62.502017266191544, 62.32415626676924, 62.147518802685646, 61.972095652967646, 61.79787771434951, 61.62485599713125, 61.45302162126805, 61.2823658126768, 61.11287989974668, 60.94455531004162, 60.77738356718301, 60.611356287901955, 60.44646517925091, 60.28270203596505, 60.12005873796455, 59.958527247989245, 59.79809960935786, 59.6387679438443, 59.480524449664046, 59.32336139956412, 59.16727113901046, 59.012246084466845, 58.85827872176009, 58.70536160452619, 58.55348735273286, 58.40264865127371, 58.25283824863005, 58.104048955596184, 57.956273644064545, 57.80950524586711, 57.66373675166982, 57.51896120991693, 57.3751717258223, 57.23236146040496, 57.09052362956639, 56.94965150320701, 56.809738404379694, 56.67077770847815, 56.53276284245815, 56.39568728408975, 56.259544561238705, 56.12432825117542, 55.990031979909894, 55.85664942155118, 55.72417429768997, 55.592600376803, 55.4619214736781, 55.3321314488587, 55.203224208106725, 55.07519370188285, 54.948033924843244, 54.82173891535178, 54.696302755007, 54.5717195681829, 54.44798352158299, 54.3250888238067, 54.20302972492766, 54.08180051608313, 53.960571307238595, 53.83934209839406, 53.718112889549545, 53.24668441746493, 52.78800208777213, 52.34173586994112, 51.90756071714518, 51.48515739886254, 51.07421307578305, 50.67442168110253, 50.285484156685584, 49.907108580765936, 49.53901021491047, 49.18091149120292, 48.832541955478, 48.49363817855687, 48.16394364449829, 47.84320862265705, 47.53119002865926, 47.22765127813133, 46.932362136056796, 46.645098563906714, 46.36564256613918, 46.093782037247095, 45.82931061021936, 45.57202750704328, 45.3217373916973, 45.07825022594824, 44.841381128166226, 44.6109502352941, 44.38678256805155, 44.16870789941155, 43.956560626355206, 43.75017964488796, 43.54940822828292, 43.354093908504986, 43.164088360760424, 42.97924729111076, 42.79943032708549 ], "yaxis": "y" }, { "hovertemplate": "Chemical=S
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "S", "line": { "color": "blue", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "S", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.0025, 0.005, 0.0075, 0.01, 0.0125, 0.015, 0.0175, 0.02, 0.0225, 0.025, 0.0275, 0.03, 0.0325, 0.034999999999999996, 0.0375, 0.04, 0.0425, 0.045, 0.0475, 0.05, 0.052500000000000005, 0.055, 0.0575, 0.060000000000000005, 0.0625, 0.065, 0.0675, 0.07, 0.07250000000000001, 0.07500000000000001, 0.07750000000000001, 0.08, 0.0825, 0.085, 0.0875, 0.09, 0.0925, 0.095, 0.0975, 0.09999999999999999, 0.1025, 0.105, 0.10749999999999998, 0.10999999999999999, 0.11249999999999999, 0.11499999999999999, 0.1175, 0.11999999999999998, 0.12249999999999998, 0.12499999999999999, 0.12749999999999997, 0.12999999999999998, 0.13249999999999998, 0.13499999999999998, 0.13749999999999998, 0.13999999999999999, 0.1425, 0.145, 0.1475, 0.15, 0.1525, 0.155, 0.1575, 0.16, 0.1625, 0.165, 0.1675, 0.17, 0.17250000000000001, 0.17500000000000002, 0.17750000000000002, 0.18000000000000002, 0.18250000000000002, 0.18500000000000003, 0.18750000000000003, 0.19000000000000003, 0.19250000000000003, 0.19500000000000003, 0.19750000000000004, 0.20000000000000004, 0.20250000000000004, 0.20500000000000004, 0.20750000000000005, 0.21000000000000005, 0.21250000000000005, 0.21500000000000005, 0.21750000000000005, 0.22000000000000006, 0.22250000000000006, 0.22500000000000006, 0.22750000000000006, 0.23000000000000007, 0.23250000000000007, 0.23500000000000007, 0.23750000000000007, 0.24000000000000007, 0.24250000000000008, 0.24500000000000008, 0.24750000000000008, 0.25000000000000006, 0.25250000000000006, 0.25500000000000006, 0.25750000000000006, 0.26000000000000006, 0.26250000000000007, 0.26500000000000007, 0.26750000000000007, 0.2700000000000001, 0.2725000000000001, 0.2750000000000001, 0.2775000000000001, 0.2800000000000001, 0.2825000000000001, 0.2850000000000001, 0.2875000000000001, 0.2900000000000001, 0.2925000000000001, 0.2950000000000001, 0.2975000000000001, 0.3000000000000001, 0.3025000000000001, 0.3050000000000001, 0.3075000000000001, 0.3100000000000001, 0.3125000000000001, 0.3150000000000001, 0.3175000000000001, 0.3200000000000001, 0.3225000000000001, 0.3250000000000001, 0.3275000000000001, 0.3300000000000001, 0.33250000000000013, 0.33500000000000013, 0.33750000000000013, 0.34000000000000014, 0.34250000000000014, 0.34500000000000014, 0.34750000000000014, 0.35000000000000014, 0.35250000000000015, 0.35500000000000015, 0.35750000000000015, 0.36000000000000015, 0.36250000000000016, 0.36500000000000016, 0.36750000000000016, 0.37000000000000016, 0.37250000000000016, 0.37500000000000017, 0.37750000000000017, 0.38000000000000017, 0.3825000000000002, 0.3850000000000002, 0.3875000000000002, 0.3900000000000002, 0.3925000000000002, 0.3950000000000002, 0.3975000000000002, 0.4000000000000002, 0.4025000000000002, 0.4050000000000002, 0.4075000000000002, 0.4100000000000002, 0.4125000000000002, 0.4150000000000002, 0.4175000000000002, 0.4200000000000002, 0.4225000000000002, 0.4250000000000002, 0.4275000000000002, 0.4300000000000002, 0.4325000000000002, 0.4350000000000002, 0.4375000000000002, 0.4400000000000002, 0.45000000000000023, 0.46000000000000024, 0.47000000000000025, 0.48000000000000026, 0.49000000000000027, 0.5000000000000002, 0.5100000000000002, 0.5200000000000002, 0.5300000000000002, 0.5400000000000003, 0.5500000000000003, 0.5600000000000003, 0.5700000000000003, 0.5800000000000003, 0.5900000000000003, 0.6000000000000003, 0.6100000000000003, 0.6200000000000003, 0.6300000000000003, 0.6400000000000003, 0.6500000000000004, 0.6600000000000004, 0.6700000000000004, 0.6800000000000004, 0.6900000000000004, 0.7000000000000004, 0.7100000000000004, 0.7200000000000004, 0.7300000000000004, 0.7400000000000004, 0.7500000000000004, 0.7600000000000005, 0.7700000000000005, 0.7800000000000005, 0.7900000000000005, 0.8000000000000005 ], "xaxis": "x", "y": [ 0, 1.25, 2.4231249999999998, 3.5240484375, 4.55716000390625, 5.5265828695996095, 6.436189863357056, 7.289618669602165, 8.090286103107093, 8.84140151714923, 9.54597939772599, 10.206851193237995, 10.826676426051375, 11.407953129532642, 11.976533944556124, 12.53270452861212, 13.0767441118974, 13.51790203484068, 13.948834064835115, 14.369770284472052, 14.78093559948454, 15.115181768210128, 15.441102297804147, 15.758884515147052, 16.068711532264498, 16.164687423627676, 16.253881267708408, 16.336711262643067, 16.413570175788326, 16.641537702242072, 16.854846822962678, 17.054392943732466, 17.241017077035824, 17.415509144251914, 17.57861107738664, 17.73101973251277, 17.873389626348466, 18.006335506710588, 18.1304347669274, 18.24622971368306, 18.35422969719135, 18.45491311205594, 18.54872927666708, 18.63610019850824, 18.717422232298503, 18.793067637476035, 18.86338604113326, 18.928705812143164, 18.989335351867933, 19.04556430651377, 19.09766470588837, 19.145892033028744, 19.190486228895963, 19.231672636078525, 19.26966288520684, 19.304655727556614, 19.33683781710763, 19.366384445126336, 19.393460230154222, 19.41821976610911, 19.440808231042105, 19.461361958938603, 19.480008976806783, 19.4968695091608, 19.512056451877985, 19.525675817289233, 19.537827152248823, 19.548603930824008, 19.558093923145062, 19.566379541862982, 19.573538167574146, 19.579642454488788, 19.584760617542567, 19.58895670207774, 19.592290837152053, 19.59481947346924, 19.596595606864692, 19.59766898822315, 19.598086320652076, 19.597891444684407, 19.597125512237287, 19.595827150009416, 19.594032612958127, 19.59177592845842, 19.589089031709605, 19.58600189292084, 19.58254263677474, 19.57873765463767, 19.574611709957182, 19.57018803726009, 19.56548843513969, 19.56053335359705, 19.55534197607905, 19.54993229653515, 19.54432119179533, 19.53852448955313, 19.53255703222066, 19.52643273690619, 19.52016465174966, 19.51376500883722, 19.50724527390252, 19.50061619300977, 19.493887836401793, 19.48706963968524, 19.48017044251454, 19.47319852492649, 19.466161641468098, 19.459067053251616, 19.45192155806264, 19.444731518639454, 19.43750288923463, 19.430241240563195, 19.42295178323527, 19.41563938976525, 19.40830861524387, 19.400963716754408, 19.393608671609194, 19.38624719447812, 19.378882753476354, 19.371518585274487, 19.36415770929044, 19.356802941018884, 19.34945690455058, 19.342122044330715, 19.334800636202566, 19.327494797779778, 19.320206498188096, 19.312937567214767, 19.305689703901635, 19.298464484615664, 19.291263370628638, 19.28408771523583, 19.276938770441653, 19.269817693238547, 19.262725551503845, 19.255663329537775, 19.24863193326442, 19.241632195116082, 19.234664878620286, 19.22773068270747, 19.220830245756332, 19.213964149392783, 19.2071329220574, 19.20033704235553, 19.19357694220319, 19.18685300978116, 19.18016559230896, 19.173514998649598, 19.16690150175541, 19.160325340964643, 19.153786724157776, 19.147285829782223, 19.14082280875331, 19.13439778623906, 19.128010863335913, 19.121662118641904, 19.11535160973361, 19.109079374552692, 19.10284543270747, 19.096649786694794, 19.090492423046985, 19.084373313408392, 19.078292415545896, 19.072249674297336, 19.066245022461644, 19.060278381634213, 19.054349662990866, 19.048458768023522, 19.04260558923049, 19.03679001076418, 19.031011909038785, 19.025271153300416, 19.019567606161907, 19.01390112410451, 19.00909577978392, 19.00511282200198, 19.00191524336445, 18.978636713852477, 18.956230746702534, 18.934615388371647, 18.913725053861864, 18.89350664810647, 18.873916626549544, 18.854918766935484, 18.836482479681994, 18.818581526125172, 18.801193045662792, 18.784296816852827, 18.767874695720177, 18.751910188302116, 18.73638812489518, 18.72129441136532, 18.706615838864217, 18.692339937823398, 18.678454865527097, 18.664949319161163, 18.651812468201552, 18.63903390149457, 18.626603585508345, 18.614511831088535, 18.60274926669772, 18.59130681660724, 18.580175682880984, 18.56934733027121, 18.55881347335906, 18.548566065433402, 18.5385972887235, 18.528899545693413, 18.519465451175872, 18.51028782517649, 18.501359686219182, 18.492674245134182, 18.484224899213086 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "title": { "text": "Chemical" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Changes in concentrations for 2 reactions" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 0.8000000000000005 ], "title": { "text": "SYSTEM TIME" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -5.555555555555555, 105.55555555555556 ], "title": { "text": "concentration" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dynamics.plot_history(colors=['green', 'orange', 'blue'])" ] }, { "cell_type": "markdown", "id": "d1d0eabb-b5b1-4e15-846d-5e483a5a24a7", "metadata": {}, "source": [ "# Run 3 : small-ish time steps, with dynamic substeps" ] }, { "cell_type": "code", "execution_count": 9, "id": "197c03c2-775a-48ec-aa56-675828f98aff", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "single_compartment_react(): setting abs_fast_threshold to 31.25\n", "11 total step(s) taken\n", "From time 0 to 0.64, in 32 substeps of 0.02 (each 1/4 of full step)\n", "From time 0.64 to 0.88, in 3 FULL steps of 0.08\n", "(for a grand total of the equivalent of 11 FULL steps)\n" ] } ], "source": [ "dynamics = ReactionDynamics(chem_data=chem_data)\n", "dynamics.set_conc(conc={\"U\": 50., \"X\": 100., \"S\": 0.})\n", "#dynamics.describe_state()\n", "\n", "dynamics.set_diagnostics() # To save diagnostic information about the call to single_compartment_react()\n", "\n", "dynamics.single_compartment_react(time_step=0.08, stop_time=0.8,\n", " dynamic_substeps=4, rel_fast_threshold=250)\n", "\n", "df = dynamics.get_history()\n", "#df\n", "dynamics.explain_time_advance()" ] }, { "cell_type": "code", "execution_count": 10, "id": "9d48898c-5e1d-4eae-bba0-e0cbd6140ff7", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Chemical=U
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "U", "line": { "color": "green", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "U", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22, 0.24, 0.26, 0.27999999999999997, 0.3, 0.32, 0.34, 0.36, 0.38, 0.4, 0.42000000000000004, 0.44, 0.46, 0.48000000000000004, 0.5, 0.52, 0.54, 0.56, 0.5800000000000001, 0.6000000000000001, 0.6200000000000001, 0.64, 0.72, 0.7999999999999999, 0.8799999999999999 ], "xaxis": "x", "y": [ 50, 48, 47.68, 48.1856, 49.079424, 50.1384832, 51.2499536384, 52.357574083584, 53.43408071231488, 54.46703380572447, 55.45153249788777, 56.386472203811756, 57.27262401059255, 58.11165097553109, 58.90560610552318, 59.656677879565514, 60.36706289443917, 61.03890370526053, 61.67426001782516, 62.27509686378601, 62.84328134845742, 63.38058365420231, 63.88868008724569, 64.3691570379747, 64.82351528100676, 65.25317432699897, 65.65947668473682, 66.04369196706345, 66.40702081245665, 66.75059861340705, 67.07549905239537, 67.38273745093606, 67.67327393928153, 68.77224400301836, 69.63224781713112, 70.30524752588536 ], "yaxis": "y" }, { "hovertemplate": "Chemical=X
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "X", "line": { "color": "orange", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "X", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22, 0.24, 0.26, 0.27999999999999997, 0.3, 0.32, 0.34, 0.36, 0.38, 0.4, 0.42000000000000004, 0.44, 0.46, 0.48000000000000004, 0.5, 0.52, 0.54, 0.56, 0.5800000000000001, 0.6000000000000001, 0.6200000000000001, 0.64, 0.72, 0.7999999999999999, 0.8799999999999999 ], "xaxis": "x", "y": [ 100, 94, 89.56, 85.99600000000001, 82.952176, 80.24172256, 77.7649765312, 75.467291882368, 73.3173615634816, 71.29605711109934, 69.3906787177276, 67.59198874904357, 65.89267744530089, 64.28656574260452, 62.768187674808246, 61.3325684280172, 59.97510341987837, 58.691489709634865, 57.47768467263806, 56.32987902728517, 55.244477555065195, 54.21808407152368, 53.24748886164086, 52.32965764560654, 51.46172158028343, 50.64096802839079, 49.86483194480069, 49.13088779039973, 48.43684191603255, 47.780525376157094, 47.159887141231124, 46.57298768323463, 46.017992912027744, 43.91869503365749, 42.275880366526465, 40.99028859818153 ], "yaxis": "y" }, { "hovertemplate": "Chemical=S
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "S", "line": { "color": "blue", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "S", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22, 0.24, 0.26, 0.27999999999999997, 0.3, 0.32, 0.34, 0.36, 0.38, 0.4, 0.42000000000000004, 0.44, 0.46, 0.48000000000000004, 0.5, 0.52, 0.54, 0.56, 0.5800000000000001, 0.6000000000000001, 0.6200000000000001, 0.64, 0.72, 0.7999999999999999, 0.8799999999999999 ], "xaxis": "x", "y": [ 0, 10, 15.08, 17.6328, 18.888976, 19.481311039999998, 19.735116192, 19.817559950464002, 19.81447701188864, 19.769875277451725, 19.706256286496885, 19.635066843332933, 19.562074533513996, 19.490132306333294, 19.420600114145405, 19.354075812851775, 19.29077079124327, 19.230702879844067, 19.173795291711613, 19.1199272451428, 19.068959748019957, 19.020748620071682, 18.975150963867748, 18.932028278444044, 18.891247857703032, 18.852683317611245, 18.81621468572566, 18.781728275473355, 18.749116459054143, 18.718277397028803, 18.689114753978117, 18.661537414893242, 18.63545920940918, 18.53681696030577, 18.45962399921129, 18.39921635004773 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "title": { "text": "Chemical" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Changes in concentrations for 2 reactions" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 0.8799999999999999 ], "title": { "text": "SYSTEM TIME" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -5.555555555555555, 105.55555555555556 ], "title": { "text": "concentration" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dynamics.plot_history(colors=['green', 'orange', 'blue'])" ] }, { "cell_type": "markdown", "id": "36d1bce4-449c-4bbb-b3b1-0b9ca47c9e18", "metadata": {}, "source": [ "# Run 4 : same as previous run, but fewer dynamic substeps" ] }, { "cell_type": "code", "execution_count": 11, "id": "4501a270-fb25-451c-afa9-b79195dd606a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "single_compartment_react(): setting abs_fast_threshold to 18.75\n", "11 total step(s) taken\n", "From time 0 to 0.8, in 20 substeps of 0.04 (each 1/2 of full step)\n", "From time 0.8 to 0.88, in 1 FULL step of 0.08\n", "(for a grand total of the equivalent of 11 FULL steps)\n" ] } ], "source": [ "dynamics = ReactionDynamics(chem_data=chem_data)\n", "dynamics.set_conc(conc={\"U\": 50., \"X\": 100., \"S\": 0.})\n", "#dynamics.describe_state()\n", "\n", "dynamics.set_diagnostics() # To save diagnostic information about the call to single_compartment_react()\n", "\n", "dynamics.single_compartment_react(time_step=0.08, stop_time=0.8,\n", " dynamic_substeps=2, rel_fast_threshold=150)\n", "\n", "df = dynamics.get_history()\n", "#df\n", "dynamics.explain_time_advance()" ] }, { "cell_type": "code", "execution_count": 12, "id": "83fd0d3a-ba7e-48b9-87d2-e301393b9f0b", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Chemical=U
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "U", "line": { "color": "green", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "U", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.27999999999999997, 0.32, 0.36, 0.4, 0.44, 0.48000000000000004, 0.52, 0.56, 0.6000000000000001, 0.64, 0.68, 0.72, 0.76, 0.7999999999999999, 0.8799999999999999 ], "xaxis": "x", "y": [ 50, 46, 48.72, 51.324799999999996, 53.651584, 55.7255424, 57.5740184576, 59.221523095552, 60.68990637539328, 61.99864287411568, 63.165089840976364, 64.2047173961209, 65.13131370450223, 65.95716784280135, 66.69323278454199, 67.34927066500292, 67.9339822525184, 68.45512234329286, 68.91960261016496, 69.33358326936346, 69.70255478099416, 70.3602665526437 ], "yaxis": "y" }, { "hovertemplate": "Chemical=X
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "X", "line": { "color": "orange", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "X", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.27999999999999997, 0.32, 0.36, 0.4, 0.44, 0.48000000000000004, 0.52, 0.56, 0.6000000000000001, 0.64, 0.68, 0.72, 0.76, 0.7999999999999999, 0.8799999999999999 ], "xaxis": "x", "y": [ 100, 88, 82.24000000000001, 77.248, 72.802816, 68.84104192000001, 65.3100064768, 62.162875285504, 59.3579090968576, 56.85790676180009, 54.62971174797653, 52.64377239503632, 50.87374998268522, 49.29616941075747, 47.89010785834013, 46.63691729275753, 45.51997714816342, 44.524473893615756, 43.63720456713351, 42.846401670086266, 42.14157709956074, 40.88518899812261 ], "yaxis": "y" }, { "hovertemplate": "Chemical=S
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "S", "line": { "color": "blue", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "S", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.27999999999999997, 0.32, 0.36, 0.4, 0.44, 0.48000000000000004, 0.52, 0.56, 0.6000000000000001, 0.64, 0.68, 0.72, 0.76, 0.7999999999999999, 0.8799999999999999 ], "xaxis": "x", "y": [ 0, 20, 20.32, 20.1024, 19.894016, 19.70787328, 19.541956608, 19.394078523392, 19.26227815235584, 19.144807489968535, 19.040108570070746, 18.946792812721892, 18.86362260831033, 18.789494903639824, 18.723426572575892, 18.66454137723664, 18.612058346799767, 18.565281419798527, 18.523590212536572, 18.486431791186803, 18.453313338450922, 18.39427789659001 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "title": { "text": "Chemical" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Changes in concentrations for 2 reactions" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 0.8799999999999999 ], "title": { "text": "SYSTEM TIME" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -5.555555555555555, 105.55555555555556 ], "title": { "text": "concentration" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dynamics.plot_history(colors=['green', 'orange', 'blue'])" ] }, { "cell_type": "markdown", "id": "180cc9f8-3d15-44f6-b314-c284634812d8", "metadata": {}, "source": [ "# Run 5 : same as previous run, but slightly larger primary step" ] }, { "cell_type": "code", "execution_count": 13, "id": "d51911f0-55fa-4e9e-864f-1e5253e5038e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "single_compartment_react(): setting rel_fast_threshold to 800.0\n", "9 total step(s) taken\n", "From time 0 to 0.3, in 6 substeps of 0.05 (each 1/2 of full step)\n", "From time 0.3 to 0.9, in 6 FULL steps of 0.1\n", "(for a grand total of the equivalent of 9 FULL steps)\n" ] } ], "source": [ "dynamics = ReactionDynamics(chem_data=chem_data)\n", "dynamics.set_conc(conc={\"U\": 50., \"X\": 100., \"S\": 0.})\n", "#dynamics.describe_state()\n", "\n", "dynamics.set_diagnostics() # To save diagnostic information about the call to single_compartment_react()\n", "\n", "dynamics.single_compartment_react(time_step=0.1, stop_time=0.8,\n", " dynamic_substeps=2, abs_fast_threshold=80.0)\n", "\n", "df = dynamics.get_history()\n", "#df\n", "dynamics.explain_time_advance()" ] }, { "cell_type": "code", "execution_count": 14, "id": "185be279-bd71-483d-90cb-39c7066b6def", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Chemical=U
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "U", "line": { "color": "green", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "U", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.05, 0.1, 0.15000000000000002, 0.2, 0.25, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, 0.8999999999999999 ], "xaxis": "x", "y": [ 50, 45, 50.5, 53.15, 55.89, 58.16125, 60.1444625, 63.56300125, 66.056140125, 67.8662232125, 69.19202948125, 70.14645150412501, 70.8571946076125 ], "yaxis": "y" }, { "hovertemplate": "Chemical=X
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "X", "line": { "color": "orange", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "X", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.05, 0.1, 0.15000000000000002, 0.2, 0.25, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, 0.8999999999999999 ], "xaxis": "x", "y": [ 100, 85, 79.75, 73.5625, 68.569375, 64.17915624999999, 60.401785937499994, 53.86682359375, 49.111080859374994, 45.6437399359375, 43.124906138593744, 41.282055236359376, 39.952463718685934 ], "yaxis": "y" }, { "hovertemplate": "Chemical=S
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "S", "line": { "color": "blue", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "S", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.05, 0.1, 0.15000000000000002, 0.2, 0.25, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, 0.8999999999999999 ], "xaxis": "x", "y": [ 0, 25, 19.25, 20.1375, 19.650624999999998, 19.49834375, 19.3092890625, 19.00717390625, 18.776638890625, 18.623813639062497, 18.491034898906253, 18.42504175539062, 18.333147066089072 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "title": { "text": "Chemical" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Changes in concentrations for 2 reactions" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 0.8999999999999999 ], "title": { "text": "SYSTEM TIME" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -5.555555555555555, 105.55555555555556 ], "title": { "text": "concentration" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dynamics.plot_history(colors=['green', 'orange', 'blue'])" ] }, { "cell_type": "markdown", "id": "d00ce702-b83b-4fdc-abc7-0c126be78779", "metadata": {}, "source": [ "### Note: the above run is identical to the last run in the experiment `negative_concentrations_1`" ] }, { "cell_type": "markdown", "id": "6ff6c4c3-5d9a-4195-989d-1cdaf15c0f70", "metadata": {}, "source": [ "# Run 6 : same as previous run, but no substeps" ] }, { "cell_type": "code", "execution_count": 15, "id": "778dc1d2-176e-46f9-aed6-5cdb65c4e818", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "******** CAUTION: negative concentration in chemical `S` (resulting from reaction 2 S <-> U)\n", " upon advancing from system time t=0.1 [Baseline value: 50 ; delta conc: -64]\n", " It will be AUTOMATICALLY CORRECTED with a reduction in the time step size\n", "******** CAUTION: negative concentration resulting from the combined effect of multiple reactions, upon advancing reactions from system time t=0.45\n", " It will be AUTOMATICALLY CORRECTED with a reduction in the time step size\n", "The computation took 2 extra step(s) - automatically added to prevent negative concentrations\n", "10 total step(s) taken\n", "From time 0 to 0.1, in 1 FULL step of 0.1\n", "From time 0.1 to 0.15, in 1 substep of 0.05 (1/2 of full step)\n", "From time 0.15 to 0.45, in 3 FULL steps of 0.1\n", "From time 0.45 to 0.5, in 1 substep of 0.05 (1/2 of full step)\n", "From time 0.5 to 0.9, in 4 FULL steps of 0.1\n", "(for a grand total of the equivalent of 9 FULL steps)\n" ] } ], "source": [ "dynamics = ReactionDynamics(chem_data=chem_data)\n", "dynamics.set_conc(conc={\"U\": 50., \"X\": 100., \"S\": 0.})\n", "#dynamics.describe_state()\n", "\n", "dynamics.set_diagnostics() # To save diagnostic information about the call to single_compartment_react()\n", "\n", "dynamics.single_compartment_react(time_step=0.1, stop_time=0.8)\n", "\n", "df = dynamics.get_history()\n", "#df\n", "dynamics.explain_time_advance()" ] }, { "cell_type": "markdown", "id": "2a822b5e-1fa2-47e6-80e7-b3486579fa08", "metadata": {}, "source": [ "### Notice the automated detection - and correction - of negative concentrations arising from the excessively-large time steps" ] }, { "cell_type": "code", "execution_count": 16, "id": "2679b3a8-6909-45a5-8653-0f9465474b31", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Chemical=U
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "U", "line": { "color": "green", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "U", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.1, 0.15000000000000002, 0.25, 0.35, 0.44999999999999996, 0.49999999999999994, 0.6, 0.7, 0.7999999999999999, 0.8999999999999999 ], "xaxis": "x", "y": [ 50, 40, 56, 55.6, 67.32000000000001, 58.7, 67.8114, 66.06242, 72.280162, 66.1088034, 76.8952061 ], "yaxis": "y" }, { "hovertemplate": "Chemical=X
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "X", "line": { "color": "orange", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "X", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.1, 0.15000000000000002, 0.25, 0.35, 0.44999999999999996, 0.49999999999999994, 0.6, 0.7, 0.7999999999999999, 0.8999999999999999 ], "xaxis": "x", "y": [ 100, 70, 74.5, 60.25, 59.305, 45.1465, 49.610575000000004, 43.5873775, 45.083833750000004, 37.772188975, 44.446654817500004 ], "yaxis": "y" }, { "hovertemplate": "Chemical=S
SYSTEM TIME=%{x}
concentration=%{y}", "legendgroup": "S", "line": { "color": "blue", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "S", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ 0, 0.1, 0.15000000000000002, 0.25, 0.35, 0.44999999999999996, 0.49999999999999994, 0.6, 0.7, 0.7999999999999999, 0.8999999999999999 ], "xaxis": "x", "y": [ 0, 50, 13.5, 28.55, 6.055, 37.453500000000005, 14.766625000000001, 24.287782500000002, 10.35584225, 30.010204225000003, 1.76293298249999 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "title": { "text": "Chemical" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Changes in concentrations for 2 reactions" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 0.8999999999999999 ], "title": { "text": "SYSTEM TIME" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -5.555555555555555, 105.55555555555556 ], "title": { "text": "concentration" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dynamics.plot_history(colors=['green', 'orange', 'blue'])" ] }, { "cell_type": "markdown", "id": "3ea52f38-561c-4b15-ba15-fd2231b76626", "metadata": {}, "source": [ "### Note: for an exploration of instabilities, see the experiment `negative_concentrations_1`" ] }, { "cell_type": "code", "execution_count": null, "id": "479d87b8", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "jupytext": { "formats": "ipynb,py:percent" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }