{
"cells": [
{
"cell_type": "markdown",
"source": [
"# Single Dose-Response Curve\n",
"The following will demo how to calculate the IC50 for a given drug response and generate single dose-response curve. \n",
"\n",
"This tutorial will use dummy data found under the ['../dataset' folder]((https://github.com/tlint101/py50/tree/main/dataset)). The calculation requires inputs from a DataFrame. As shown, only specific information is needed to run the calculations. Finally, the information will be plotted on a sigmoidal curve. "
],
"metadata": {
"collapsed": false
},
"id": "40190704e2672214"
},
{
"metadata": {},
"cell_type": "markdown",
"source": [
"## Example start\n",
"First, import modules and the dataset."
],
"id": "b6499397ac42f88d"
},
{
"cell_type": "code",
"source": [
"import pandas as pd\n",
"from py50 import Calculator, PlotCurve"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:14.067865Z",
"start_time": "2026-05-21T04:04:12.963455Z"
}
},
"id": "8b185f40142c3fc",
"outputs": [],
"execution_count": 1
},
{
"cell_type": "code",
"source": [
"df = pd.read_csv('../dataset/single_example.csv')\n",
"df.head()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:14.101333Z",
"start_time": "2026-05-21T04:04:14.077943Z"
}
},
"id": "e8bc41ec57a9f5ed",
"outputs": [
{
"data": {
"text/plain": [
" Compound Name Compound Conc % Inhibition 1 % Inhibition 2 \\\n",
"0 Drug 1 100000.0 90 94 \n",
"1 Drug 1 33300.0 97 89 \n",
"2 Drug 1 11100.0 86 89 \n",
"3 Drug 1 3700.0 81 88 \n",
"4 Drug 1 1240.0 63 70 \n",
"\n",
" % Inhibition Avg \n",
"0 92 \n",
"1 93 \n",
"2 88 \n",
"3 84 \n",
"4 67 "
],
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],
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},
{
"cell_type": "markdown",
"source": [
"## Calculate IC50\n",
"\n",
"The example dataframe will need to be converted into an instance of the Calculate class. Once converted, the table can also be printed for viewing and checking. "
],
"metadata": {
"collapsed": false
},
"id": "2a7814fe12350584"
},
{
"cell_type": "code",
"source": [
"data = Calculator(df)\n",
"data.show()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:14.175469Z",
"start_time": "2026-05-21T04:04:14.150112Z"
}
},
"id": "ef7e6bc4fb3a8d5b",
"outputs": [
{
"data": {
"text/plain": [
" Compound Name Compound Conc % Inhibition 1 % Inhibition 2 \\\n",
"0 Drug 1 100000.0 90 94 \n",
"1 Drug 1 33300.0 97 89 \n",
"2 Drug 1 11100.0 86 89 \n",
"3 Drug 1 3700.0 81 88 \n",
"4 Drug 1 1240.0 63 70 \n",
"\n",
" % Inhibition Avg \n",
"0 92 \n",
"1 93 \n",
"2 88 \n",
"3 84 \n",
"4 67 "
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"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
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],
"execution_count": 3
},
{
"cell_type": "markdown",
"source": [
"Currently, the py50 program requires the at least 3 columns as input. The rest of the columns will be ignored.\n",
"py50 requires a column containing the following:\n",
"- drug name\n",
"- concentration\n",
"- response average\n",
"\n",
"Note that py50 requires the response average. \n",
"\n",
"The names for the corresponding columns can be passed in the \"calculate_ic50()\" function as follows:"
],
"metadata": {
"collapsed": false
},
"id": "ecd580cec35152a0"
},
{
"cell_type": "code",
"source": [
"ic50 = data.calculate_ic50(name_col='Compound Name', concentration_col='Compound Conc', response_col='% Inhibition Avg')\n",
"ic50"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:14.646719Z",
"start_time": "2026-05-21T04:04:14.617589Z"
}
},
"id": "fc55d2c722236af8",
"outputs": [
{
"data": {
"text/plain": [
" compound_name maximum minimum ic50 (nM) hill_slope\n",
"0 Drug 1 92.854405 -7.640226 439.824243 1.040878"
],
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compound_name
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minimum
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hill_slope
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"execution_count": 4,
"metadata": {},
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"execution_count": 4
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{
"cell_type": "markdown",
"source": [
"Where the maximum and minimum corresponds to the maximum and minimum response. The Hill slope is the hill coefficient. This table can be output as a separate .csv file. For this tutorial, we will output the final table as a markdown table. \n",
"\n",
"**NOTE**: The calculation in this table is the Relative IC50 value. For more information, see tutorial [003_absolute_ic50.ipynb](https://github.com/tlint101/py50/blob/main/tutorials/002_absolute_ic50.ipynb)."
],
"metadata": {
"collapsed": false
},
"id": "95ff81bfb94892a2"
},
{
"cell_type": "code",
"source": [
"print(ic50.to_markdown(index=False, tablefmt=\"simple\"))"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:14.694664Z",
"start_time": "2026-05-21T04:04:14.682562Z"
}
},
"id": "fdaced5b59ca67ad",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"compound_name maximum minimum ic50 (nM) hill_slope\n",
"--------------- --------- --------- ----------- ------------\n",
"Drug 1 92.8544 -7.64023 439.824 1.04088\n"
]
}
],
"execution_count": 5
},
{
"cell_type": "markdown",
"source": [
"## Plotting\n",
"py50 contains functions that will generate dose-response curves. Let's generate a sigmoidal curve from the dataset. This time the dataframe will need to be instantiated into the PlotCurve class.\n",
"From there, the dataset will be calculated and the resulting information will be ploted on a graph. "
],
"metadata": {
"collapsed": false
},
"id": "d554610b1d58a685"
},
{
"cell_type": "code",
"source": [
"plot_data = PlotCurve(df)\n",
"\n",
"# The input dataset can be inspected as follows:\n",
"# data.show()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:14.899347Z",
"start_time": "2026-05-21T04:04:14.892841Z"
}
},
"id": "84339eac41557658",
"outputs": [],
"execution_count": 6
},
{
"cell_type": "markdown",
"source": [
"For this example, plotting the dose-response curve uses the single_curve_plot() function. By default, py50 will assume drug concentrations are in nanomolar (nM) concentration and will convert them into micromolar (µM) concentrations. This will also mean that the final scale on the x-axis will be in µM. As the dosages for a typical test vary greatly in concentrations, the scale of the concentration will be in log format by default. However, depending on user needs, these can be changed. Additional paramters and their explination can be found [here](https://github.com/tlint101/py50).\n",
"\n",
"First. Here we will call the \"single_curve_plot\" method with the associated parameters:"
],
"metadata": {
"collapsed": false
},
"id": "ec899ebad96519f4"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='Default Plot',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" legend=True)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:15.138517Z",
"start_time": "2026-05-21T04:04:14.902351Z"
}
},
"id": "37cc89ab94304631",
"outputs": [
{
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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 7
},
{
"cell_type": "markdown",
"source": [
"### Customize figure\n",
"By default the program will assume that the input drug concentrations are in nanomolar (nM). This can be modified to µM if needed. The xscale_ticks argument will modify the range on the X-axis and accepts a tuple that indicates said range. This will adjust the line plot accordingly and better fits the µM concentrations."
],
"metadata": {
"collapsed": false
},
"id": "1775a066ca775921"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='Default Changed to µM Concentrations',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (µM)',\n",
" ylabel='Inhibition %',\n",
" conc_unit='µM', # Adjusted unit concentration to µM\n",
" xscale_ticks=(-3, 3), # To adjust the line curve\n",
" legend=True)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:15.346707Z",
"start_time": "2026-05-21T04:04:15.146272Z"
}
},
"id": "83c1cd92cd9faf03",
"outputs": [
{
"data": {
"text/plain": [
"
"
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 8
},
{
"cell_type": "markdown",
"source": "The above figure looks great! But what if we wanted our graph to \"**pop**\"? Personally, I prefer colors (Teal (#008080) anyone?). Good news! There are several ways to adjust the graph to highlight the information you want to convey. For colors, we will start with the \"line_color=\" parameter. The line color can be a specific color name (i.e. red, blue, green, etc) or a hex code. Here is an example of a colored line in \"teal\" (#008080).",
"metadata": {
"collapsed": false
},
"id": "bd09a52dd7c74adf"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='Plot with Colored Lines',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" line_color='#008080',\n",
" legend=True)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:15.501933Z",
"start_time": "2026-05-21T04:04:15.355547Z"
}
},
"id": "3572adf038d70616",
"outputs": [
{
"data": {
"text/plain": [
"
"
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 9
},
{
"metadata": {},
"cell_type": "markdown",
"source": [
"### Error Bars\n",
"Error bars can be given for single curve plots. A list of inhibitory activity must be given. Mean calculations are performed internally and used to create the errorbars using seaborn. By default, the standard deviation (\"sd\") scale will be used. Additional options can be found [here](https://seaborn.pydata.org/tutorial/error_bars.html)."
],
"id": "6cc31d97f4bc9953"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-05-21T04:04:15.699Z",
"start_time": "2026-05-21T04:04:15.527322Z"
}
},
"cell_type": "code",
"source": [
"single = pd.read_csv('../dataset/single_example.csv')\n",
"plot_data = PlotCurve(single)\n",
"\n",
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col=['% Inhibition 1', '% Inhibition 2'],\n",
" title='Default Plot Single Example (Positive)',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" legend=True,\n",
" errorbar='sd',\n",
" legend_loc='lower right')"
],
"id": "729f3be4b4db2825",
"outputs": [
{
"data": {
"text/plain": [
"
"
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 10
},
{
"metadata": {},
"cell_type": "markdown",
"source": "The mean calculations occur internally. As a result, the table will be appended with the results. This can be visualized using the show() method. Additionally, the table can be saved using the to_csv() method. Give a path param to designate save location.",
"id": "b0b4a0b568b7aade"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-05-21T04:04:15.727327Z",
"start_time": "2026-05-21T04:04:15.712379Z"
}
},
"cell_type": "code",
"source": "plot_data.show()",
"id": "b7ac9e371417f27a",
"outputs": [
{
"data": {
"text/plain": [
" Compound Name Compound Conc % Inhibition 1 % Inhibition 2 \\\n",
"0 Drug 1 100000.0 90 94 \n",
"1 Drug 1 33300.0 97 89 \n",
"2 Drug 1 11100.0 86 89 \n",
"3 Drug 1 3700.0 81 88 \n",
"4 Drug 1 1240.0 63 70 \n",
"\n",
" % Inhibition Avg \n",
"0 92 \n",
"1 93 \n",
"2 88 \n",
"3 84 \n",
"4 67 "
],
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
Compound Name
\n",
"
Compound Conc
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"
% Inhibition 1
\n",
"
% Inhibition 2
\n",
"
% Inhibition Avg
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
Drug 1
\n",
"
100000.0
\n",
"
90
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"
94
\n",
"
92
\n",
"
\n",
"
\n",
"
1
\n",
"
Drug 1
\n",
"
33300.0
\n",
"
97
\n",
"
89
\n",
"
93
\n",
"
\n",
"
\n",
"
2
\n",
"
Drug 1
\n",
"
11100.0
\n",
"
86
\n",
"
89
\n",
"
88
\n",
"
\n",
"
\n",
"
3
\n",
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Drug 1
\n",
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3700.0
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81
\n",
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88
\n",
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84
\n",
"
\n",
"
\n",
"
4
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"
Drug 1
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1240.0
\n",
"
63
\n",
"
70
\n",
"
67
\n",
"
\n",
" \n",
"
\n",
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"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 11
},
{
"metadata": {
"collapsed": false
},
"cell_type": "markdown",
"source": [
"### Box Highlighting\n",
"That doesn't look half bad! But what if you want to highlight the IC50 value? That would give people a quick way to identify where the IC50 lies on the curve. That can be achieved using the \"box=\" parameter. The box argument is a boolean argument and by default it will draw a box at the 50% response with respect to the curve.\n"
],
"id": "afe1844f72c379ec"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='Plot with Colored Lines and A Box',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" line_color='#008080',\n",
" box=True,\n",
" legend=True)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:15.965103Z",
"start_time": "2026-05-21T04:04:15.764987Z"
}
},
"id": "2bcf5695676eba25",
"outputs": [
{
"data": {
"text/plain": [
""
],
"image/png": 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082A4pIlm0aJFKvThHAOCG0IbppDTh6YBCGtgOHSPIZRE4fihnZmxdohaG7vszJ6C84ISU5SCG+vYlNbzNaR1GklvSB+8blCCjbacps7zmx78GNA6jmjtXrP6fsEwMHjvYf/x4woBFWPv6XcAIufGYEekB6EB42DhixtzQqKNigbLGKcMt6GnrX4bK5TiABrimwo94vAFtGrVKlXagJI7wP2iITwCCsa0Q2N2U+a21aoeDcfAMyeET/QSRDUPjpNhw218QaFkAB1VAO2ytCo9lB6gFAL/M2fOnFRf4giwaFiPEgU00Df3+UkLAiDuDw3w33777VSDV+PcoKQDbcFQMqeVzmFcOEApFUqtNFjWHzjYXqHRPUrtUEqGHpX65wFtO9HBCGP4aW0O0QYUgRmBD1V6+rQqy4ymwdJeA+iEon8feGy8XlauXKmuZ2eWEpTQYuBiVP+jF61+RwxUGaPTS0ZQ7Ype6Hgdaj3U06KNaYdSvewEUrxn0MMbrz20pdXGssvK+wX7jmOJEkQcAwRdjPeIzw/tvJLzY1UskQGEA4Qq9NZD6YL2ixgfsPiyR7hBYNGHahR8aGL4EAQ0/Go27IFpLNihKgtt6AwHHsZjaF9EplbDasEQQRHVObh/S8zTikGAASUVqI7F46L9DkqzEAzw5YgvHBxHDH6s0RrhY5gGDPGAAXVRaolSMbQDwv/gyyijkJCV85MeBEQEaLQbQ8kUSmOwr9gnVI3h+eHLUYOejHgO3333nfpy13qX4v/Riza9ksy0YOBkfLmnBcEEAcsc8NzwJY/ngACOQYoR4vBc0RkAAQLhVStZw6DAeF1rJXkoUcbQJxgyBSWdeJ0bG8RZHwILenWjcxOOGc4ZfgzhPKLqFKVfmJUlK8dOH6pF0akBpVk4f/iBhJJdPA56hWNdevCaRLMInOOMqvIxcDBKxBD8ce7RZjA9mMrQcEYI9PBGtS7erzgv6ESh9drP7PsFnyO4DjgfWpjGuUVve3zWoI0jgp8pPxTJcTHYERlASQ+mK0IvNZRI4EMbH6L4YkVpFcKS4ZAp+GLGaO+ockKVHr5MMupliS8dfEGi9EurhtXgOqrC8LjofGAKfBGjynD9+vW6KlxLBDv0RsQXENpa4csG1TxaVRqqkfCYGD8NX0KGEArWrVunQhFKF1CdiWOAUiRU85oyAXpWzo8p94eG8Lg/bZgU9DpEcEWoMexRjDCIHswYAw8BHPeBDi4o9TOl2twQSlnTK2nN6hAzacF5wLnDGGc4D3i9oJQHrzs8Z8PqUgQFhHecO0xJhQ4GCD4oGX355ZdVcMsISjNRHfj777+rEI5zhtCMEicESbRZw48j3H9WZ0dAmMHrAq8vhDu0B8W+4f2J10RGwU6rVs1oZhVAKTvanOK1j1LHjIIdnpt+iRl+CCG84XWGHrN4nRkO4ZOZ9wueoza0k1aaqEFvW1TpIuCi9A/j+pHzcsMoxbbeCSIiIiLKPraxIyIiInISDHZEREREToLBjoiIiMhJMNgREREROQkGOyIiIiInwWBHRERE5CQ4jt1jGK0e449hdHlrTM1EREREZAqMTIcB2DEbSUbjdDLYPYZQZzj6PxEREZG9wJzH2nzCaWGwe0ybBxIHzc/Pz/Jnh4iIiMgEmJkGhU9aVkkPg91jWvUrQh2DHREREdkbU5qKsfMEERERkZOwy2AXHx+vJmH+559/dOswqTomOK9du7aaAFmbdFzz999/q//BxOqYTBnbExEREbkSuwt2cXFx8sYbb8j58+dT9QYZNWqUFCxYUNasWSNdunSRV199VUJDQ9Xt+Ivbu3fvLqtXr5b8+fPLyJEj1f8RERERuQq7amN34cIFefPNN58IZPv27VMlcMuXLxdfX18pX7687N27V4W80aNHy6pVq6RGjRrywgsvqO0nT54sTZs2lf3790ujRo3Mtn9JSUmSkJBgtvujJ3l5eWXYlZuIiIgcINhpQez1119XVa6aY8eOSbVq1VSo09SrV0+OHj2qu71+/fq623LmzCnVq1dXt5sj2CFo3rp1Sx4+fJjt+6L0IdSVLVtWBTwiIiJy4GDXv39/o+vDwsLUoHz6ChQooMKWKbdnlxbq8BgIlxzA2HKDRKNa/ebNmxIQEMDjTERE5MjBLi0xMTFPlODgOjpZmHK7MbhN/3aMEZNW9asW6hAWybIKFSqkwl1iYqJ4enrycBMRETlbsPP29n6iGhShzMfHR3e7YYjDdX9//zTvc968eTJz5swMH1trU6dfDUyWowV0BGoGOyIiIicMdkWKFFEdK/TdvXtXV/2K23Hd8PaqVaumeZ8jRoyQoUOHPjGqc1pY/WodPM5ERERZ5xDdDzE23cmTJyU2Nla37tChQ2q9djuua1A1e+rUKd3taZUMabNMcLYJIiIicgYOEewaNmwoxYoVkwkTJqjx7b777jv5999/pWfPnur2Hj16yOHDh9V63I7tSpYsadahThxR69atpXLlyupSpUoVqVOnjvTt21d2795tk/1B72IMSbN27VqbPD4REZGzc4hg5+7uLrNnz1a9XzEI8YYNG2TWrFlSvHhxdTtC3LfffqvGtUPYQ3s83G5v1XpJycny55Ursuz4cfUX1y3t3XffVbN07Ny5U1asWCF169ZV1dCYqcPaPV4//fRT2bNnj1Ufl4iIyJXYbRu7s2fPprpeunRp+fnnn9PcHu3j0msjZ2trT5+WscHBcj0iQreupL+/zAgKku7ptAXMrty5c6ueplpbxHHjxqmAjEGcf/31V7GG27dvy1tvvSXXr19Pt0MLERERuUCJnaNDqOu5cmWqUAc3IiLUetxuTX369JFz587J1atX1XVU1c6YMUNVXb/88suqqhTVuPoGDRqkSkU1P/30kwQGBqoSQJTE4fa0qljRPhJV6ShRRdAkIiIiFyuxs3doLxZtwvRiqG4ds2mTGJu1FutQWTx20yZpW7asuGcwlZavp6dZqpcxJRugpzFKQmHHjh2ybNkyVWWK9ovpQVX4N998I5MmTZIKFSrIl19+KQcOHJBu3boZ3R4h0TAoEhERkfkx2GUx1DX78Uf5OyQk2ycA4e56ZKTkmTIlw22bliolu4cOzXa400rNHj16lKoUr1y5cmo5o2C3dOlSGTJkiHTo0EFdnzJlil1XgxMREbkKVsVmkX11y8gcbZYNDPOiKVGiRKbaP9asWVN3PU+ePGp+VyIiIrItlthlAUrMUHJmSlXsrqtXpePSpRlut7F/f2n+uFrU0lWxWseUihUr6tZh9g6NscfAFF/6vZRRaqnP8DoRERFZH4NdFiH85DKYn9aYduXLq96v6ChhLPogQuF2bJdRGztzQSeG6tWrS6lSpYzejqm89KtpEdrQo1WDdnXoENGmTRtdCaDWEYOIiIhsh8HOwhDWMKQJer8ixOmHO61cbHpQkMVCXWRkpBreBOHswYMHsnr1atm4caP88MMPaf5PjRo11FiAixcvlpYtW6q/4eHhutvRA/aDDz5Qgx6jIwZ61EZHR9vduIFERESuhm3srADj1K3u3VtKGIzhhpI6rLfkOHafffaZNGvWTJo3b67mxr18+bIaqgSzeaSlTJkyMn78eJkzZ4507dpVhcL27dvrbu/UqZOaQQLhrlevXqp9Hi4o6SMiIiLbcUth4yhddWK9evXUnLP6nQowPy3CEDoH+Pj4ZOtgY+iT3deuyc3ISCmWO7cEBgRYrfrVnPbv36+qcTE2ndb+rnHjxmq2j+xO42bO401EROTMGcUYVsVaEUJcyzJlxNFt3bpVjhw5Ih999JHkypVLFi1apF5otWvXtvWuERERuTTHKy4imxszZowqUUPVbpcuXeTSpUuyYMGCVD1riYiI7HEOdWfHEjvKNJTOTZ06lUeOiIgcbg51Z8cSOyIiInLpOdSdCYMdERERWQ2qW1FSl9Yc6vBacLBDVMsm2WFVMqtiTZRsByfLFbCTNhGRc8PoEIYldYbhLiQiQm1nzx0O7bUqmcEuA15eXpIjRw4JDQ2VQoUKqesciNdyoQ6DKeP4ckw8IiLnhCG/zLmdpSUlJ0tsYqLEJSX99zcxUX49d06FOkNaVbKlx6hND4NdBhDq0AP05s2bKtyRZSHUlSxZUs1HS0REzgfjuJpzO0DYioiLk8j4ePVXu0Q+/ou53Z+4JCZKjLH1CQkSk5ioW07MRI0dShvdHlcld6lc2SZj1TLYmQCldAEBAWog3qSkJMufFReGkjqGOiIi54XB+dObQx0K+fqq22ft3y/3Y2LkXkyM+otLquD2OMjFW+m7OYebm3i5u6uSO3utSmawM5FWPcgqQiIioowlJCXJnUeP5DYuUVFyKypKLeNv6Tx50m1nFxYdLQPXrcv0Yc7l6Sm5vb3FX++S28tLcnl5ia+Hh/h6eqa65DS4nuo2Dw91O/76eHiIt4eHeOTIoTpK9F+71m6rkhnsiIiIKNPtzm5GRcm18HAJwSUi4r/liAh1HcsIZ5mFasz8OXOqudUL5MyplrULrufLmVPyGAa3x3/9vLxU8HLEqmRzYrAjIiKiJzyKj5dLDx7Ihfv31eWi3jJK25JS0qpI/X/ubm5SOFcuKeLnJ0UfX4rkyqX7WyhXLhUCYxMSpEKBAtKmbFm7n0M9MIOqZIRT3I7tbIHBjoiIyJVHI4iOlpN37sjJsDA5FRam/p6/d0+VyKUHpWMlcueWUnnySECePFLK319d1HKePFI8d24p6Our2qU5E/ccOdSQJuj9imemH+60Zzo9KMhmAZXBjoiIyAWgwf/x27fl8M2bcuz2bRXgEOjQMSEteX18pGL+/FLh8aV8vnxSPn9+KZs3ryp1s/fSNUvBUCYY0sTYOHYIdRzHjoiIiMwGw3gcvXVLhbhDN2+qvwhyxobuQClT2Xz5pHqhQlKtUCH1t3LBgirIoW0bGYfwhiFN0PsVHSXQpg7Vr7YOuyyxIyIicnAIFn+HhMiekBD1F0EuwUiIQweEesWLS+0iRaRG4cJSvXBhqVKwoOoFSpmHEGdvs2Mw2BERETkYdDjYdumSbL9yRfZcuyaXHz58Yht0TqhfvLjULVZMXeoVK6aqCjl7knNjsCMiIrJzGJh3x+XLsvXSJdl2+bKcv3//ierUcvnyyTPlykmzgABpGhCgxopjiHM9DHZERER22FsVPVQxJykue0NCUvW+RE9TtIFDFSxmX8BtGI4k7vx5eaZ8eSmTN68N955sicGOiIjIDqBjw84rV2TD2bMqzBlWr6JjA8Z5a1uunITHxsqQX355Yhw1e5iEnmyLwY6IiMiGMzjsunpVVpw8KWtOn5a7erM1eLu7S+uyZeXZSpXUBePDaf9TZsYMo4Pj2sMk9GRbDHZERERWrmb958YNWXr8uKw6dUrNnarBgL7PVaoknStXViVzmCbLEIbXSG+eVVtPQk+2xWBHRERkBQhwi48dkx+OHpUzd+/q1ufz8VHVpn2qV5dWZctmON+pqZPL22oSerItBjsiIiILtpvbeP68/HDkiPx27pxuflWMG4cw17d6ddXZwcvd3WkmoSfbYrAjIiIyM7SVW3D4sMw+cEBVi2oalywpL9SuLX1q1BB/b2+nnISebIvBjoiIyEwwjde3//wjS0+cUHOzau3mhtSqJS/UqaN6tjr7JPRkWwx2RERE2ewM8eeVK/LZX3+pAYQ1dYoWlTGNGknfGjXEx8PDZSahJ9tisCMiIsqC5JQU1W5u8l9/yb7r19U6dzc36Vmtmoxu2FCeLlXKojM/2Osk9GRbDHZERESZDHRrT5+Wj3bulBN37ujGnHupbl156+mnrTrrgz1OQk+2xWBHREQuC4P9mlrihSrXPy5elHe3b5fDN2+qdbm9vGRkgwbyWuPGUtTPz8p7T/QkBjsiInJJKHUz1kZthpE2apirdcK2bbLz6lV1HQMHv9G4sbzepInk9fGx+r4TpYXBjoiIXDLUoVdpRnOtXn7wQN7eskVN9wUYb25UgwYyoVkzKZQrl032nSg9DHZERORy1a8oqUtvrtUxmzbJwdBQ+WrvXolLSpIcbm7yfK1a8kHLlro5W4nsEYMdERG5FFPmWr0RGal6u0LrsmVlevv2UrNIESvuJVHWMNgREZFLMXUO1UK+vjLv2Wela5UqFh22hMicGOyIiMilmDqH6s/du0u78uUtvj9E5sRRDImIyKVoc62mVwZXyt9f2pQta8W9IjIPBjsiInIpGKfuy3btjHaeAAQ+zrVKjorBjoiIXMqZu3dl2t9/p1lSpw11QuSI2MaOiIhcAmaOmLl/v4zbulViExPVwMIzO3SQEv7+nGuVnAaDHREROb37MTHy/C+/yK/nzqnr6BTxw3PPqVBH5Ewcqir25s2bMmLECKlbt660bt1afvrpJ91tp06dkl69ekmtWrWkR48ecuLECZvuKxER2Yd/rl+XuvPmqVCHmSO+CQqS4AEDGOrIKTlUsHvttdfE19dX1q5dK++++65Mnz5dtmzZItHR0TJ8+HCpX7++uq1OnToqAGI9ERG5btXr13v3SrMff5Sr4eFSPl8+2ffiizK6USOOS0dOy2GqYsPDw+Xo0aPyySefSJkyZdQlMDBQ9u7dq27z9vaWcePGqTfrxIkTZdeuXRIcHCzdu3e39a4TEZGVRcXHy5BfflFzwkKvatVkfufOksfHh+eCnJrDlNj5+PhIzpw5VYlcQkKCXLp0SQ4fPixVq1aVY8eOSb169XS/wPAX1bUIgkRE5FouP3ggT3//vQp1qHpFB4kVPXsy1JFLcJhghxK5999/X1asWKHa0XXo0EGaN2+u2tWFhYVJ4cKFU21foEABuXXrVpr3Fx8fL1FRUakuRETk2HZcviwN5s+X43fuSFE/P/lzyBAZ1bAhq17JZThMVSxcvHhRWrVqJUOHDpXz58+ratkmTZpITEyMeHl5pdoW1xHe0jJv3jyZOXOmFfaaiIis0Z5u9oEDMjY4WJJSUqR+8eKyrk8fNcMEkStxmGCHtnSrV6+WnTt3qmrZmjVryu3bt2XOnDlSqlSpJ0IcrmO7tKBzBQKiBiV2LVq0sOhzICIi80tKTpY3Nm+Wb/bvV9cH1Kyp2tPl9PTk4SaX4zBVsRi+pHTp0qnCWrVq1SQ0NFSKFCkid+/eTbU9rhtWzxqW6Pn5+aW6EBGRY4lJSJDeq1frQt2Utm1lcbduDHXkshwm2CGkXb16NVXJHDpQlCxZUrW5O3LkiCqKB/xFxwqsJyIi53QvOlraLl6s6ySxvEcPGde0KdvTkUtzmGCHAYk9PT3lvffek8uXL8v27dtl7ty5MmjQIAkKCpKIiAiZNGmSXLhwQf1Fuzt0sCAiIufs+dr0hx/k75AQNTXYlkGDpE+NGrbeLSKbc5hglzt3bjXTBHrA9uzZUyZPniyvvPKK9OnTR1WjojPEoUOH1Lh1GP7ku+++U4MZExGRczkVFqZC3dl79yQgTx7Z88IL0rx0aVvvFpFdcEvR6i9dHDpPYCw8hEO2tyMisk+Hb96UdosXy72YGKlZuLAEDxwoxXPntvVuEdlNRnGYXrFEROTaUO3aYckSiYiLkwbFi6tQlz9nTlvvFpFdYbAjIiK7t/3yZXlu2TJ5lJAggQEB8lv//uLv7W3r3SKyOwx2RERk1zZfuCBdli+XuKQkaVe+vBp42Jdj1BEZxWBHRER2a9ulS9J1xQoV6rpUrqzmfPX24FcXUVr47iAiIru06+pV6bxsmcQmJspzlSvLyl691Hh1ROQEw50QEZHr2BsSIp2WLpWYxETpUKGCrOzZk6GOyAQMdkREZFcO3LghQUuWSFR8vLQtV07W9O7N6lciEzHYERGRXQ0+3P7nn9WQJi1Kl5b1ffty3leiTGCwIyIiuxASHq5C3YPYWGlcsqQa0oS9X4kyh8GOiIhs7l50tAp11yMipGrBgvJbv37i5+Vl690icjgMdkREZFOP4uPl2WXL5PTdu1LS3182DxwoBTjXN1GWMNgREZHNJCQlSa9Vq2Tf9euSz8dHhbpSefLwjBBlEYMdERHZREpKirzy+++y6cIFyenhIb/37y/VChXi2SDKBgY7IiKyiWl//y3fHzkiOdzc1IwSTUqV4pkgyiYGOyIisrp1p0/L+K1b1fLX7dtL58qVeRaIzIDBjoiIrOpQaKgMWLtWUkRkVIMGMrphQ54BIjNhsCMiIqvBcCaY/xVThQVVqCDTg4LEzc2NZ4DITBjsiIjIKqITElSouxkVJTUKF1bt6jxy8GuIyJz4jiIiIqv0gH1pwwY5euuWFM6VS37t10/8vb155InMjMGOiIgs7ut9+2TZiROqhG5Vr15SJm9eHnUiC2CwIyIii9p++bK8vWWLrgds89KlecSJLITBjoiILObqw4fSe9UqSU5JkSG1aqlesERkOQx2RERkETEJCdJtxQq5FxMj9YoVkzmdOrEHLJGFMdgREZFFjNq4UY7cuiUFfX1lbZ8+ktPTk0eayMIY7IiIyOwWHj0qPx49qpsuLCBPHh5lIitgsCMiIrM6FRYmIzduVMsftmghrcuW5REmshIGOyIiMptH8fHSa9UqNRhx23Ll5N3AQB5dIitisCMiIrN5ddMmVWJXzM9PlnTvLu6cWYLIqhjsiIjILH46elRd0K5uWY8eaoYJIrIuDys/HhEROZGk5GTZfe2aHAwNlfe2b1frPm7ZUlqUKWPrXSNySQx2RESUJWtPn5axwcFyPSJCt87b3V0qFyzII0pkI6yKJSKiLIW6nitXpgp1EJeUpGaawO1EZH0MdkRElOnqV5TUpaSzzWvBwWo7IrIuBjsiIsoUtKkzLKnTh8AXEhGhtiMi62KwIyKiTLkZGWnW7YjIfBjsiIgoU4rlzm3W7YjIfBjsiIgoU0r5+4tbOre7Pd4mMCCAR5bIyhjsiIjIZMkpKTL8t9/S7DihBb7pQUGcdYLIBhjsiIjIZHMPHpTtly9LTg8Pmdmhg5T09091O66v7t1buletyqNKZAMcoJiIiExy6cEDeXvLFrU8pW1bGdWwobxcv77q/YqOEmhTh+pXzg9LZDsMdkREZFIV7Avr10t0QoK0KF1ahTpAiGvJ6cOI7AarYomIKEOz9u+XnVevSi5PT/mhSxfJ4ZZe9wkishUGOyIiSteF+/dl/NatannqM89IuXz5eMSI7BSDHRERZVgFG5OYKK3KlFFt6ojIfjHYERFRur1g0TmCVbBEjoHBjoiIjMJ8sO88roL9vG1bKZM3L48UkZ1jsCMioiekpKTIqxs3SmR8vDQuWVJeYRUskUNgsCMioiesPX1a1p89K545csj8zp05Nh2Rg2CwIyKiVB7Gxsqrmzap5fFNm0qNwoV5hIgcBIMdERGlMn7LFrkVFSWVCxSQic2b8+gQORCHCnbx8fHy0UcfSYMGDeTpp5+Wr776SrUDgVOnTkmvXr2kVq1a0qNHDzlx4oStd5eIyOHsunpVvjt8WC1/17mz+HhwgiIiR+JQwe7TTz+Vv//+W77//nv58ssvZeXKlbJixQqJjo6W4cOHS/369WXt2rVSp04dGTFihFpPRESmiU1MlOG//qqWh9WtK81Ll+ahI3IwDvNT7OHDh7JmzRr58ccf5amnnlLrXnjhBTl27Jh4eHiIt7e3jBs3Ttzc3GTixImya9cuCQ4Olu7du9t614mIHMLk3bvl7L17UtTPT80wQUSOx2FK7A4dOiR+fn7S8PHE04BSusmTJ6twV69ePRXqAH/r1q0rR48eteEeExE5jvP37snne/ao5W+CgiSvj4+td4mInDnYhYSESIkSJeSXX36RoKAgadOmjcyaNUuSk5MlLCxMChv02ipQoIDcunUr3fZ6UVFRqS5ERC47Zt2mTRKflCTty5eXntWq2XqXiMjZq2LRXu7q1auyfPlyVUqHMPf+++9Lzpw5JSYmRry8vFJtj+sIb2mZN2+ezJw50wp7TkRk39acPi1/XLwo3u7uMrNjR13tBxE5HocJdmhHh1I1dJpAyR2EhobKsmXLpHTp0k+EOFz3SacqAZ0rhg4dqruO+27RooUFnwERkf2Jio+X14KDdWPWVcif39a7RESuEOwKFSqkOkhooQ7Kli0rN2/eVO3u7t69m2p7XDesnjUs0TMs5SMicjUf79wpNyIjpWzevPJOs2a23h0icpU2dhifLi4uTi5fvqxbd+nSJRX0cNuRI0d0Y9rh7+HDh9V6IiIy7uSdO/L1vn1q+dsOHSSnpycPFZGDM0uw27hxo7z00kvy7LPPyosvvqium1u5cuWkZcuWMmHCBDlz5ozs3r1bvvvuO+nXr5/qTBERESGTJk2SCxcuqL9od9ehQwez7wcRkTPAD+CRGzdKYnKydKlcWTpVqmTrXSIiewh2S5YskbfeekuSkpKkcuXKKmC9+eabsmjRIjG3adOmSUBAgApz48ePlwEDBsigQYPUMCjoDIEhUTBuHYY/Qejz9fU1+z4QETmDJcePq1kmcnp4yIygIFvvDhGZiVuKVn+ZRR07dpRhw4ZJt27dUs0QsWPHDtm2bZs4CnSewFh42nh5RETO6mFsrFSZOVNuP3okn7VuLRMCA229S0RkpoxiUokdhhUx7Jyg/2D6HRqgaNGiHBeOiMhOfbBjhwp1lQsUkDefftrWu0NE1u4Ve/r0aXnmmWdkyJAhqi2dflps1qyZqhbt06ePGhQYAwmjerZdu3bm3E8iIjJTh4lZBw6oZYxZ5+XuzuNK5GrBbtWqVbJp0yaZPn26rFixQl555RXVzs3T01Pee+89+eSTT9Rgv4mJiWoIkU6dOqn5WomIyH6g5c1rmzdLUkqKdK9aVdqWK2frXSIiW7axQ3BDsJs9e7Ya/Pe1116Tzp07q9swtdeDBw8kf/78DjlqOdvYEZGzW3/mjHRdsULNMHF61Cgpmy+frXeJiGzRxk5/9gf0RN2yZYt06dJFtb1Dp4k9e/ZIjhw5VFWsI4Y6IiJnF5uYKG/88YdafuvppxnqiJxUloY7wTAiY8aMkT/++ENq1qyppud6/vnn5dSpU+bfQyIiyrbp+/bJpQcPpHju3JxhgsiJmRzsEOKGDx+uBiEePHiwfP/995I3b175+OOPZcOGDaposGfPnmoMO3SgICIi+xAaGSmf7tqllqe0bSt+nE6RyLWD3eLFi1UJHdrQYRBidJr4+uuvVYjTZoVA5wn0hg0NDVVj22EsOyIisr0J27bJo4QEaVKypAyoWdPWu0NEtu4Vu3DhQhk4cKDqAavZuXOnvPzyy6p0rlSpUmpdnTp1ZNmyZbJ161YV/IiIyLb+uX5dFh07ppYxwwTbQRM5N5OC3b1796RYsWJPDEKMDrWPHj16Yvu2bdtK69atzbeXRESUackpKTImOFgtD61dWxoYDCZPRC4a7AIDA9UQJw8fPlRztYaHh6ux7UqXLi0VK1Y0+j/oJUtERLaz+Ngx2X/jhuT28pLP2rThqSByASYFu0mTJsmUKVNk0aJFEhcXJ+7u7tKoUSNVNYtlIiKyL5FxcfLO4/m6/9e8uRTlHNhELsGkYJc7d27VGQIzTNy/f1/1hmWgIyKyX1/8/bfcioqSCvnzy5hGjWy9O0RkT8FOg0a3GISYiIjse3iTL/fuVctT27YVb49MfdQTkQNjQzgiIifz4Z9/SnRCgjxdqpR0rVLF1rtDRFbEYEdE5ERO3rkj3x85opa/eOYZDm9C5GIY7IiInAg6TGCYk+5Vq6oSOyJyLQx2RERO4s8rV+S3c+fE3c1NJnN4EyKXxGBHROQEUEr39pYtanlEvXpSiR3diFwSgx0RkRNYdfKkHAwNFT8vL/mgZUtb7w4R2UiW+sAnJSXJzJkzZe3atXL37l1JTk42OjTKqVOnzLGPRESUjrjERJnweDDi8U2bSuFcuXi8iFxUloLdt99+K3PnzhVfX1+pWrWqeHl5mX/PiIjIJHMOHpTLDx9KMT8/eb1xYx41IheWpWC3YcMGqVWrlvz4448q3DmT+Ph4ddGnH1wTExONllBmZVtPT0/dUASW2halq7iYY1sPDw/dHMD2sC2OAY5FWjA7ijZDij1sm5KSIgkJCWbZFscAx8KS24LheyGr2+I1htdaVrbF/mK/rbmt4Xs5M9ta+zMiPDZWPtm1Sy1/3KqV5OIPbSKXlqVgFxYWJiNGjHC6UAdfffVVqg9/LL/77ru66ytXrpTz58+n+f8ffPCBbnndunXpVkdPmDBB9yH/22+/ybFjx9Lc9q233pJcj6tXNm/eLAcPHkxz27Fjx6pp32Dbtm2y9/EI9Ma88sorUrhwYbW8e/du2blzZ5rbvvTSS1KiRAm1vG/fPtm6dWua2w4ZMkTKlCmjlg8dOiSbNm1Kc9t+/fpJpUqV1PLx48dl/fr1aW7bs2dPqV69ulo+ffq0rF69Os1tu3TpIrVr11bLFy5ckGXLlqW5bYcOHaRhw4Zq+dq1a7Jw4cI0t23btq00bdpULd+8eVMWLFiQ5rYtWrSQlo/bO+F9M2fOnDS3bdKkibRr104th4eHy4wZM9Lctn79+tKpUye1HB0dLdOmTUtzW/wI69q1qy6gTJ48Oc1tq1WrJr169dJdT2/bihUrSv/+/XXXsQ9phcbSpUvL888/r7uO54b9NqZ48eIybNgw3fVZs2ap42FMoUKFZOTIkbrr8+fPV8fZmDx58shrr72mu/7TTz9JaGio0W3x2fb222/rri9ZskSuXr1qdFt7+Iy4j3NXqJA8//j1TkSuK0vBrlixYml+0BIRkXU9jbZ1rVqJx+PSbCJyXW4p6dUvpGHevHmyYsUKVSXr5+cnziAqKkrq1aunSrcMnxOrYv/Dqtj/sCr2P6yKtf1nxMvr10vpxyV+77zzjnh7e2fwSUdEjpxRUAOWUe7KUokdqkrwYRMUFKSqmgoWLKhr96TB7WPGjBFHgw/d9DqD6Lcpyog9bKsfQpxtW7zmTO24Yw/b4j3hSNuCPWyr3zTCEba11vv+2K1bsuTUKdEqgbUASESuLUvBTr/tyZo1a4xu46jBjojIEYzbulUyXd1CRE4vS8Fu0aJF5t8TIiIyyR8XL6qLL0rpMt+ahoicWJaCndZ7kIiIrD912LjHU4cNr1dPJJ0e8kTkerIU7DQYcmPjxo1y/fp11WYGvWXR7g4N/IiIyPyW/PuvHLt9W/J4e6tZJuYx2BGROYLdZ599JosXL35i0M6ff/5ZBgwYIO+9915W75qIiIyITUyUidu3q+UJzZpJficcS5SIbDTzBNrZNWjQQEaPHq0GKkU3/HPnzsns2bPVYJ5169aVjh07ZnP3iIhI8+0//0hIRISU8veXMY0aiYe7uxoMPLM9bInIeWXpk2Dp0qVqhHpMKab/YYKR8xH2evfurbZhsCMiMo970dEyafdutfxp69aS8/EQLNoML0REkKVhys+ePSvPPvus0V+IWIfbzpw5wyNMRGQmCHXhcXFSq0gRGVCzJo8rERllsbL79CZyJyIi011+8EBm7t+vlqc+84y4Px4QHp+zGIke0GnN1MG9ich5ZanErnLlyvL7778bDW9Yh8mq0e6OiIiyDx0mEpKT5Zly5aRd+fKpPm83bdqkLvwxTURZDnb9+/eXkydPyrBhw9SQJw8fPlQXLL/00kty+vRp6du3L48wEVE2HQwNlWUnTojb49I6IiKzV8U+99xzcuzYMdX7de/evaluw/Anffr0ke7du2flromISO/z9O3HgxEPqlVLahctymNDRJZpY/e///1POnTooKoAQkJC1AdQQECAtG/fnjNTEBGZwcbz5+XPK1fE291dPmnViseUiCzbeaJ+/frqQkRE5pWYnCzjtm5Vy2MbNZKAPHl4iInIPMEO1a2VKlWSAgUK6K6bAuPaERFR5i08elROhYVJ/pw5ZUJgIA8hEZkv2A0dOlS++OIL6dy5s+66mxua8qYPnSiIiChzHsXHy/t//qmW3wsMlLw+PjyERGS+YPfqq6+qIU40o0aNMinYERFR5k3ft09CIyOlbN68MrJBgzS3w4Dw/fr10y0TEZkc7PRhftiMxMbG8ugSEWXSnUePZMqePWr5szZtxDudwJYjRw7VTIaIKFvj2LVp00a2bduW5u0bNmyQFi1aZOWuiYhc2sc7d0pkfLzUL15celevbuvdISJnLLG7f/++XLx4UXf9xo0bcvz4cfH3939i2+TkZBX64uLizLunRERO7ty9ezLv8RRhU9u2lRwZNHnBbBP4LIaaNWtySjEiMi3YeXp6qurX8PBwdR3t6+bNm6cuxmBMu+bNm/PwEhFlICk5WXZfuyY3IyNl7qFDapiTThUrSquyZTM8dgh269evV8vVqlVjsCMi04Jd7ty5ZcqUKXLkyBEV2hDoUB1rbD5YTEKNYVEwOwUREaVt7enTMjY4WK5HRKRa37ZcOR42IsoSk7tRoc2c1m7u8OHDMnDgQI5TR0SUjVDXc+VKSTFy2xubN6sBibtXrcrjS0SW7zyxePFim4e64cOHyzvvvKO7furUKenVq5fUqlVLevToISdOnLDp/hERpVf9ipI6Y6FO81pwsNqOiMjsJXYzZsyQoKAg3Vh2uJ4RtMMbM2aMWMLvv/8uO3fulG7duqnr0dHRKuhhAOXPP/9cli1bJiNGjJAtW7aIr6+vRfaBiCir0KbOsPpVHwJfSESE2q5lmTI80ERk3mA3Z84cKVeunC7Y4bqtgt3Dhw9l6tSpqgeYZuPGjeLt7S3jxo1Tjztx4kTZtWuXBAcHS/fu3c2+D0RE2YGOEubcjogoU8Fu0aJFUr58+VTXbQWdOLp06SJ37tzRrTt27JjUq1dPNxsG/tatW1eOHj3KYEdEdqdY7txm3Y6IKFPBrmHDhulet5a9e/fKwYMH5ddff5UPP/xQtz4sLEwqVKiQalv0zD1//nya9xUfH68umqioKAvtNRFRaoEBAVLS3z/N6lj8RMXt2C49mEasZ8+eumUiomx9Ely5ckW1Y7t27Zoa5qRMmTLSrl07KV68uNmPLAY8/uCDD+T9998XH4MJsWNiYsTLyyvVOlzXD26GMGTLzJkzzb6fREQZcc+RQz5s0UJe+vXXJ27ThiSeHhSktksPphSrztkpiMgcwe6zzz6Tn3/+Wc00oW/atGny+uuvy4svvijmhBBWo0YNCQwMfOI2tK8zDHG4bhgA9aFzxdChQ1OV2HEaNCKylv03bqi/Xu7uEp+UpFuPkjqEOg51QkRWC3YY7gTt7DC0CMIRSurgwoULsmDBAhXuihUrJh07dhRz9oS9e/eu1KlTR13XgtzmzZvl2WefVbfpw/XChQuneX8o0TMs5SMisoZTYWGy4MgRtbxl0CBJTklRHSXQpg7VrxmV1Gnww/r06dNquWrVqqoEj4hcW5aC3YoVK6R27dqyZMmSVFPYVKlSRVXF9u7dWwU8cwY7hMnExETddYRHeOutt+TAgQMyf/58NSsGOk7gLwZRfvnll832+ERE5vLO1q0qzHWrUkWaly6d5fvBZ+Lq1avV8oQJE/hjlYiyNkAx2tShlEw/1GlQCobx5S5evGjWw1uiRAkpXbq07pIrVy51wTLG2IuIiJBJkyapUkP8Rbu7Dh06mHUfiIiya+eVK/LruXPi7uYmk9u04QElItsHuyJFiqieqOl1dMifP79Yi5+fn+oMcejQITW8CYY/+e677zg4MRHZFdQmvL1li1oeXq+eVC5Y0Na7REROJktVsYMHD5avv/5a2rZtm2qgYAgJCVHVpoMGDRJLwgwT+p566ilZt26dRR+TiCg7Vp48KQdCQyWXp6d88HjubSIiqwc7zOhgTJ8+fVQvVcxKgUa7CHWY8QFVpKgKJSKi/8QlJsqEbdv++0xt2lSK+Pnx0BCRbYLdhg0b0rwNc7bioi82Nlbmzp0rY8eOzf4eEhE5gdkHDsjlhw+lmJ+fvNmkia13h4hcOdhte/wrk4iIMu9BTIx8smuXWv6kVSvJxaGWiMiWwQ49UomIKGsm7d4tD2JjpUbhwvJ87dpmO4wYmQBzZ2vLREQeps7RWqlSJTX/qnbdFE1Y3UBELu7ygwfy7f79avmLZ54xefBhUyDMYUxRIqJMBTvMLvHFF19I586dddcxEHBGtBHRiYhc1bvbt6spw9qWKyfty5e39e4QkZMzKdi9+uqrUrlyZd31UaNGmRTsiIhcfT7Y5SdOiNvj0jpzf25iSjEMyg4VKlTglGJEZHqw0zd69GgeOiKiDAYjfuuPP9Ty4Fq1pHbRomY/XphSbNmyZWqZU4oREXDGaCIiC9hw9qzsvnZNfDw85NPWrXmMich+Z56A5cuXy2+//SZ37tyR+Pj4J25HlcOOHTuyu39ERA4nISlJxm/dqpbfaNxYSvr723qXiMhFZCnYYcqwSZMmqWX0lPX29jb3fhEROaz5hw/L2Xv3pJCvr4xv1szWu0NELiRLwW7p0qVSpkwZmT9/vpQqVcr8e0VE5KAi4uLkwz//VMsftmwp/vzhS0T23sbu+vXr0r9/f4Y6IiIDU/76S8Kio6VSgQIyrG5dHh8isv9gV7BgQdXji4iI/t/1iAj5at8+tTylbVvx5GwQROQIwa5Tp06ydu1a1dWeiIj+M3H7dolNTJTAgADpojf2p6Vg5okOHTqoC6cUIyKT29itXr061fVixYrJtWvXpFu3bhIUFCSFChUyOjBmz549eZSJyCUcuHFDFh07ppa/bNfOKoO4I8w1bNjQ4o9DRE4W7N577z31IaVVv2rL58+fVxd92m34y2BHRK4An3mvbd6sG4y4QYkStt4lInJRJgW7yZMnW35PiIgc1MqTJ+XvkBDx9fSUz6w4GDGmFEPtCQQEBHBKMSIyLdihypWIiJ4Uk5Ag4x4PRvxO06ZSwoqDEaOd88KFC9UypxQjIuCUYkRE2fDV3r1yLTxcSvn7y5tPP81jSUSON0AxfiXOmjVL9Yy9e/euqg4whDZ2p06dMsc+EhHZpdDISJn811+64U1QFUtE5HDBbubMmTJ37lzx9fWVqlWripeXl/n3jIjIAYY3eZSQII1LlpS+NWrYeneIiLIW7DZs2CC1atWSH3/8UYU7IiJXcyg0VH46elQtT2/f3irDmxARWaSNXVhYmHTv3p2hjojE1Yc3GfjUU9KoZElb7xIRUdaDHQYoDg8Pz8q/EhE5vNWnTslf165JTg8Pmdymja13h4goe8GuR48esnz5comKisrKvxMROcXwJuObNpWSVhzexNjME23btlUXTilGRFluY1e8eHHVngTTibVo0UIKFiz4xMCYuH3MmDE8ykTkVKbu2SNXHj5Uge7tpk1tui8Ic01tvA9E5ATB7u2339Ytr1mzxug2DHZE5GwQ6D7fs0c3HyyHNyEipwh2ixYtMv+eEBHZuTc2b5bYxERpVaaM9KpWzda7o8YQvXnzpq7ts2HNCRG5niwFu4YNG5p/T4iI7NjmCxdk3Zkz4u7mJt926GAXw5tgsPgFCxaoZU4pRkTAn3dERBmIT0qSMcHBanlMo0ZSvXBhHjMictwSu8GDB2f6jvFrVpucmojIkU3ft0/O3bsnRXLlkg9atLD17hARZS/Y7d+/XzLLHqopiIiy60ZEhHy8c6danvrMM5LHx4cHlYgcO9ht27bN8ntCRGSH3t6yRc0H26RkSTXLBBGRwwe7EiVKWH5PiIjszM4rV2TZiROC+oeZHTtKDtZEEJGdY+cJIiIjEpOTZfSmTWp5RL16UrdYMR4nInLO4U6IiJzdjH375PidO5I/Z075tHVrsUeYeQKz/2jLREQMdkREBq6Fh8v7f/6plqe2bSsFfH3t8hghzLVs2dLWu0FEdoRVsUREBlAFG52QIM0CAmRonTo8PkTkMFhiR0SkZ/2ZM7Lh7FnxyJFD5nbqZNcdJlJSUiQsLEwtFypUiMNMERFL7IiINFHx8boOE28//bTdzzCRkJAgc+bMURcsExGxKpaI6LEPduyQkIgIKZs3r7zXvDmPCxE5HAY7IiIROXrrlsz45x91LGZ17Ci+np48LkTkcBjsiMjlJSUny4jffpOklBTpVa2adKhY0eWPCRE5JgY7InJ58w4dkv03boi/t7dMDwpy+eNBRI6LwY6IXFpIeLi8s3WrWp7UurUUz53b1rtERJRlDHZE5LIwXAiqYCPj4+XpUqXklfr1bb1LRETZwnHsiMhl/fzvv7LpwgXxcneXBZ07i3sOx/qti5knmjRpolsmImKwIyKXdDsqSl7bvFktf9CihVQtVEgcDcJcu3btbL0bRGRHHOrn6e3bt2XMmDHSsGFDCQwMlMmTJ0tcXJy6LSQkRJ5//nmpXbu2dOzYUf766y9b7y4R2bFXN22S+zExUrtoUTUYMRGRM8jhSG1hEOpiYmJkyZIl8vXXX8uOHTtk+vTp6rZRo0ZJwYIFZc2aNdKlSxd59dVXJTQ01Na7TUR2aO3p07L61Clxd3OTH557TjwdtBoTn30PHz5UFywTETlMVeylS5fk6NGjsmfPHhXgAEFvypQp0rx5c1Vit3z5cvH19ZXy5cvL3r17VcgbPXq0rXediOwISulG/v67Wh7XtKnUKVZMHBWmEZsxY4ZanjBhgnh5edl6l4jIxhymxA4TXC9YsEAX6jRRUVFy7NgxqVatmgp1mnr16qkgSESk7/XNm+X2o0dSpWBBeb9FCx4cInIqDhPs/P39Vbs6TXJysvz888/SuHFjCQsLk8IGk3UXKFBAbt26ZYM9JSJ7te70aVl07Ji4icj3zz0nPh4OU2lBRORcwc7QF198IadOnZLXX39dtbszrILA9fj4+DT/H7ehtE//QkTO686jR2rMOq0KFuPWERE5Gw9HDXULFy5UHSgqVaok3t7eqvGwYXDz8fFJ8z7mzZsnM2fOtMLeEpGtoWPB8F9/lbDoaKlZuLB81LKlrXeJiMgiHC7YffLJJ7Js2TIV7tq3b6/WFSlSRC5cuJBqu7t37z5RPatvxIgRMnToUN11lNi1YHsbIqeE6tf1Z8+KZ44csqhbN/FmFSwROSmHqopFCRt6vn711VfSqVMn3fpatWrJyZMnJTY2Vrfu0KFDan1aUFXr5+eX6kJEzudaeLiMCQ5Wyyipw7h1RETOymFK7C5evCizZ8+W4cOHqx6v6DChwYDFxYoVU939R44cqca3+/fff9UAxkTkupJTUmTo+vUSERcnTUqWlLebNhVnkiNHDqn/eH5bLBMROUyw27ZtmyQlJcmcOXPURd/Zs2dV6Js4caJ0795dSpcuLbNmzZLixYvbbH+JyPZm7t8v2y9fFl9PT1nYtat4OFn48fDwSFV7QUTklsLhynVt7FASiCpcVssSOb5/b9+WhvPnS1xSkszq2FFGNmhg610iIrJ4RnGYEjsiIlNFJyRI39WrVah7tlIleeVxdaWzwe/y6OhotYwB2t3cMEIfEbkyBjsicmhJycmy+9o1uRkZKcVy55bAgAB5PThYTt+9K8X8/NRcsM4aeDCl2LRp09QypxQjImCwIyKHtfb0aRkbHCzXIyJ06/LnzKnmg0WUW9ytmxTKlcum+0hEZE0MdkTksKGu58qVkmKwHqEOulapIm3KlbPJvhER2YpzdREjIpepfkVJnWGo03fgxg21HRGRK2GwIyKHgzZ1+tWvxlyPjFTbERG5EgY7InI46Chhzu2IiJwFgx0RORz0fjXndkREzoKdJ4jI4WBIk5L+/mlWx6JHLG7Hds4M04hpc2JzSjEiUp8FPAxE5Gjcc+SQGUFBRm/TRqybHhSktnNmmFKsa9eu6oJlIiLn/tQjIqf1KD7e6HqU1K3u3Vu6V61q9X0iIrI1/sQjIodzMDRUhv/2m1r+X/Pm0rps2VQzTzh7SZ3+lGKYfQI8PT2ddoYNIjIdgx0ROZRbUVHSdflyiU1MlE4VK8oHLVq4TJAzhFA3efJktcwpxYgIXPPTkIgcUlxiovRYuVJuREZKlYIFZUn37i4b6oiIjOEnIhE5TLXjqI0b5e+QEMnr4yMb+vaVPD4+tt4tIiK7wmBHRA5h5v798v2RI5LDzU2W9+ghFQsUsPUuERHZHQY7IrJ7Wy5elNc3b1bLU9u2lfYVKth6l4iI7BKDHRHZtX9v31bt6pJSUmRwrVryRpMmtt4lIiK7xWBHRHbrRkSEdFq6VCLj46VlmTIyv3NnDulBRJQODndCRHYpMi5OhTpMG1a1YEFZ27u3eLm723q37AqmEatWrZpumYiIwY6I7E5CUpL0Xr1ajt2+LYVz5ZKNAwZIvpw5bb1bdgfTiPXq1cvWu0FEdoQ/8YjI7oY1Gfn77xJ84YL4enrKb/36SZm8eW29W0REDoHBjojsyrvbtsmCx8OaLOvRQxqUKGHrXSIichisiiUiuzF1zx75fM8etTzv2WflucqVbb1Ldi0+Pp5TihFRKiyxIyK7MP/QIRm/daturLqX6ta19S4RETkcBjsisrmVJ0/KiN9+U8sTmjWTt5s2tfUuERE5JAY7IrKp38+dk4Fr10qKiLxcr55Mat2aZ4SIKIsY7IjIZn47d066r1wpCcnJ0rdGDZnZsSMHICYiygYGOyKyWajDVGHxSUnSq1o1WdS1q7hzkF0iomxhsCMim4e6Jd27iydnlSAiyjYOd0JEVsVQZz6YRqxixYq6ZSIiBjsisprlJ07IoHXrJDE5mSV1ZppSrH///ua4KyJyEgx2RGQVcw8eVFOFofdrvxo1ZGHXrqx+JSIyMwY7IrL43K+T//pLJm7frq6PrF9fvu3YUU0ZRkRE5sVgR0QWDXVv/fGHfLVvn7r+XmCgfNyqFYc0MeOUYtOmTVPLb731lnh5eZnrronIQTHYEZFFxCUmyosbNsiS48fV9a/bt5fXGjfm0TazhIQEHlMi0mGwIyKzuxsdLd1WrJC/rl0Tjxw5ZEHnzjKkdm0eaSIiC2OwIyKzOn/vnnRculQu3L8veby9ZU3v3tKmXDkeZSIiK2CwI8qmpORk2X3tmtyMjJRiuXNLYECAy86gsPvqVem6YoXcj4mRMnnzyu/9+0u1QoVsvVtERC6DwY4oG9aePi1jg4PlekSEbl1Jf3+ZERQk3atWdalOEnMOHpTXgoPVvK+NSpSQ9X37ShE/P1vvGhGRS3HNYgUiM4W6nitXpgp1cCMiQq3H7a4gJiFBXtiwQUZt3KhCXZ/q1WXHkCEMdURENsASO6IsVr+ipA6D7RrCOozQhtKrLpUrO3W17NWHD9Wcr4du3lTj0k1p21bebNKEw5lYiZubm5QuXVq3TETEYEeUBWhTZ1hSZxjuQiIi1HYty5RxymO8+cIFGbB2rdyLiZECOXPKip492UnCyjw9PeX555+39sMSkR1jsCPKAnSUMOd2jiQ+KUkmbtsm0/buVdfrFSumer6WzpvX1rtGROTyGOyIsgC9X825naO4eP++9FuzRg6EhuqmB5vWrp3k9PS09a4RERFL7IiyBkOaoPcrOkoYa2eH1k64Hds5S6/XpcePyyu//y6R8fGSz8dHvn/uOenmQj1/7XVKsRkzZqjlsWPHckoxImKvWKKsQIcIDGkChk3WtevTg4KcouPEnUePpOeqVTJw3ToV6poFBMjRl19mqLMT0dHR6kJEBI7/rUNkIxinbnXv3lLC3z/VepTUYb0zjGO38uRJqTZrlhq6BVODfdiihRrKJCBPHlvvGhERGcE2dkTZgPCGIU2cbeYJlNJhXLrVp06p608VKSILu3aV2kWL2nrXiIgoHQx2RNmEEOcsQ5okp6TI/EOH5J1t2+RhbKwqpXu3WTOZ2Ly5eLm723r3iIjIlYJdXFycfPTRR/LHH3+Ij4+PvPDCC+pCRBk7cvOm6hzxz40b6nqdokVlwXPPSd1ixXj4iIgchFMFu6lTp8qJEydk4cKFEhoaKuPHj5fixYtL0ONG7kT0pAcxMfLRzp3y7f79qsQut5eXfNq6tYxs0ECV2BERkeNwmmCHXmGrVq2S+fPnS/Xq1dXl/PnzsmTJEgY7ojQGGp5z4IB8vGuX3I+JUeswz+tX7dtLcScbf89ZYRox/HjVlomInCbYnTlzRhITE6VOnTq6dfXq1ZO5c+dKcnKy5GDJA5FuTLr1Z8/KuC1b5Pz9+2pd9UKF5Ov27eWZ8uV5lBxsSrFhw4bZejeIyI44TbALCwuTfPnypRqgs2DBgqrd3cOHDyV//vw23T8iewh0O65ckf/t2CF/h4SodYVz5ZJPWrWSF+rUYbUrEZETcJpgFxMT88So69p1jM5uCOv010dFRVlhL4lsY/fVqyrQ7bx6VV338fCQNxo3lvHNmom/tzdPCxGRk3CaYOft7f1EgNOuo4esoXnz5snMmTOttn9Etiih2xMSojpGbL10Sa3DkCXD69aVCYGBbEfnBBISEmTWrFlqedSoUapqlohcm9MEuyJFisiDBw9UOzsPDw9d9SxCnb/BzAAwYsQIGTp0aKoSuxYtWlh1n4ksAT1b1585I1P//lv2Xb+u1qF364t16sjEwEApxVkjnCq8h4eH65aJiJwm2FWtWlUFuqNHj0r9+vXVukOHDknNmjWNdpxANa1h1S2RI4tNTJTFx47JtL175dy9e2qdt7u7DK5VS94NDJQyefPaeheJiMjCnCbY5cyZU7p27SoffvihfPbZZ3Lnzh354YcfZPLkybbeNSKLuvTggcw9eFB+OHJE7j0etiSvj4+MrF9fRjdqJEX9/HgGiIhchNMEO5gwYYIKdkOGDBE/Pz8ZPXq0tGvXzta7RWR2ScnJEnzhgsw6cED91SrhAvLkkdcbN1bVrrlN7BSB+3K2uW6JiFyVUwU7lNpNmTJFXYic0emwMFl07Jgs/vdfuREZqVvfvnx5NVNEp4oVMxXK1p4+LWODg+V6RIRuXUl/f5kRFCTdq1Y1+/4TEZFlOVWwI3JG96KjZTmmyjt2TA6EhurW58N8yHXqyMv160uFLIzTiFDXc+VKXWmf5kZEhFq/undvhjsiIgfDYEdkp2EOs0OsPnVKDVWSkJys1ru7uUnHihVlSK1a8mylSuL9uAd4ZqH6FSV1xvpRYh0mp3otOFi6VK7Malk7hmnEChUqpFsmImKwI7ITt6OidGFu++XLkqQ3fEXtokVVmOtfs6aaLSK70KZOv/rVEB45JCJCbdeyTJlsPx5ZBsatGzlyJA8vEekw2BHZcLy5g6Gh8vu5c7LxwgW1rA9hrmfVqtKjWjWpUrCgWR8bHSXMuR0REdkHBjsiKwqNjJQdly/LH5cuyabz5yUsOjrV7fWKFZOe1apJj6pVpWKBAhbbD/R+Ned2RERkHxjsiCzoVlSU/Hnligpzf169qhs4WIN5WtuVLy8dK1SQoAoVrBakMKQJer+io4SxdnZorYXbsR3Z95Ri8+fPV8vDhg3jlGJExGBHZC6Jycly8s4d+efGDTWV197r1+XM3buptsnh5iZ1ixWT1mXKqE4QT5cqJZ7u7lY/CRgSBUOaoPcrQpx+uNOa4E8PCmLHCTuHacQwdaK2TETEEjuiLMCX6NXwcDly86YKcrgcuHFDHiUkpNrO7XFbOXRAaFWmjASWLq1mhbAHGKcOQ5oYG8cOoY7j2BEROR4GO6IMxCQkyMmwMDl265Ycu31bjt66Jf/evi3hcXFPbJvby0salighjUuWlEYlSkjTgADJnzOn3R5jhDcMacKZJ4iInAODHdFj92NiVNXp2bt3//t77576e/7+fdWD1ZBnjhxSrVAhFeQaPQ5z6L3qaNNxYX85pAkRkXNgsCOXgXCGXqlXHj6Uyw8e/Pf34UMV3BDg7hr0UNVX0NdXahUp8t+laFFVvYoQ52WD9nFERERpYbAjp2nz9iA2VgU37YIen2gHpwW4a+HhEp+UlO79lPL3l8oFC0qVAgXU38oFCqhSueK5c3NkfyIisnsMdmTXYe1hbKwqScN4b/irlh89kptRUalCHC5xGYQ2bUqugDx5pGy+fFLm8d/y+fKp0rdKBQpILi8vqzw3InPANGJ58uTRLRMRMdiRxcNZVHy86mgQHhurglpay3djYlKFt3sxMWoIkcwokDOnKl3DBWPCBfj7q/BWNm9eKZM3r5Tw9xcPB2sDR5TelGKvvfYaDxAR6TDYkQpPcYmJEpuYqEq91N/ERDV0B0LZI1wSEtL+a2SdFtYi4uJSzXmaFehpijZuhXLlUn9xKebnpwtw2qWon5/4ePAlTURErovfglaENl+oMkSQSkhO/u9vUpJZryOYGQtp2nVjt2U3eJkCpWR5vL3VGG55cNFbzuvtrf6itE0/vBXy9ZUCvr4Ma0RERCZisLOSQ6Gh0nDBAqPDZtgTtEFDqZe3h4fk8vRUbc6M/k3vNi+vJ0Kcr6cn2wARWWBKsZ9++kktP//885xSjIgY7KwF1YR1ihZVnQBQeoUx0NRfd/fMXc9gO293dxXKVDhzd9eFNO16Rrex/RmRY7VhDQ0N1S0TEbHEzkrQaP/g8OF8xREREZHFsHsgERERkZNgsCMiIiJyEgx2RERERE6CwY6IiIjISbDzBBGRA/P19bX1LhCRHWGwIyJyUF5eXvL222/bejeIyI6wKpaIiIjISbDEjmwqKTlZdl+7JjcjI6VY7twSGBAg7jn4e4OIiCgrGOzIZtaePi1jg4PlekSEbl1Jf3+ZERQk3atW5ZkhMmFKsSVLlqjlAQMGcEoxImJVLNku1PVcuTJVqIMbERFqPW4novRhGrGrV6+qC6cUIyJgnRfZpPoVJXXGZrbU1r0WHKy2IyIiItMx2JHVoU2dYUmdYbgLiYhQ2xEREZHpGOzI6tBRwpzbERER0X8Y7Mjq0PvVnNsRERHRfxjsyOowpAl6v7qlcTvWl/L3V9sRERGR6RjsyOowTh2GNAHDcKddnx4UxPHsiEzg6enJYU6ISIfj2JFNYJy61b17Gx3HDqGO49gRmTal2LvvvstDRUQ6DHZkMwhvXSpX5swTREREZsJgRzavlm1ZpgzPAhERkRkw2BEROajExERZuXKlWu7du7d4ePAjncjV8VOAiMhBJScny/nz53XLRETsFUtERETkJBjsiIiIiJwEgx0RERGRk2CwIyIiInISDHZEREREToK9Yh9LSUlRf6Oiomx5PoiITBYfHy8JCQm6zy7MREFEzkfLJlpWSY9biilbuYBbt25JixYtbL0bREREREbt3LlTihYtKulhsHsMY0DduXNHcuXKJb169ZLVq1cbPWA9e/Y0epux9YbrkLgRHnFi/Pz8xJrS2m9L34+p22e0XXq3Z/Wc2PJ8pLV/1rgPS58Tvkcsc05s8R4Bfm5Z75yYcp74ueWan1spKSny6NEjKVy4sOTIkX4rOlbFPoYDpaVgLKd1ctK6zdj6tLbFOmsHifSekyXvx9TtM9rOkufEFucjrX2xxn1Y+pzwPWKZc2LL9wjwc8vy5yQz54mfW5k/5o7+uZU7d26TtmPnCSMGDBiQ6duMrU/vfqzNXPuS2fsxdfuMtuM5Mc/5sMY54XvEMueE7xHn/9zK7HvKFsyxL/zcsixWxVoRimvr1asnhw4dskkJEfF82Du+R+wPz4l94fmwP1F29t3OEjsrQo+1V199lT3X7ATPh/3hObE/PCf2hefD/njZ2Xc7S+yIiIiInARL7IiIiIicBIMdERERkZNgsCMiIiJyEhzHzg4GRp44caJcvnxZDY48depUKVCggK13ix7bunWrbNu2TSZPnsxjYkNxcXEybtw4uXfvnppG691335XatWvznNgIpjEbP368mrEnZ86c8sUXX0j+/Pl5PuwAvkt69Oghhw8ftvWukIh07NhR951et25def311y1+XFhiZ2NbtmwRHx8fWb58uXozzps3z9a7RI9NmTJFpk2bZtLcfGRZGOW9XLly8vPPP8vnn3/OoG1jGzdulCJFisjSpUulU6dOMn/+fFvvEolITEyM+tzy9vbm8bADkZGRki9fPlm8eLG6WCPUAYOdjeFXVdOmTdVyYGCg7N+/39a7RI899dRT8uGHH/J42IEuXbrISy+9pJaTkpLE09PT1rskrn4+3nzzTbWMUrs8efLYepdIRCZNmiSjRo1Spahke6dOnZLw8HAZMmSIDBs2TK5cuWKVx2Wws4OBDbUBDVEVi7ngyD506NBB3NzcbL0b9HiqHrw/7t+/r6pk8eVFtuXh4SHDhw9XJREtW7bk6bCxFStWSJUqVaRmzZq23hXS+9zCD9KFCxfKiBEjZMKECWINbGNnBydeC3P4a+pccESu2HZozJgxqjqjSZMmtt4dEpHvvvtOrl69qgLe5s2beUxsaMOGDWoOU5yHsLAwFSgWLFjAc2JDFSpUUBeoX7++3L592yqPy2BnY2gAvmfPHmnTpo3s2rVL6tSpY+tdIrI7N2/elFdeeUV1LkIVOdm+dAgdKAYOHCi+vr4qUJBtLVmyRLfcunVrhjo7gDaoqGVAs4UzZ85I8eLFrfK4fDeaGXrsPfvss/LPP/+k6tGHXnxI7M2aNZMffvhBd1u7du1Ug9e+ffuqDhQvv/yyuXeJsnBeyL7Ox+zZsyU6Olr1vhw0aJAquSPbnQ80U/jrr79UsBs7dqx88sknPB1mxs8sxz8n/fr1U+3qBgwYIJ999pl8/PHHVtlPltiZEU4wkvn58+dTrUcpw4kTJ1Q9e2hoqBomAMk9KChI3N3d2cPPDs+LplGjRupCtj0fDA72dT78/f1l7ty5Ftwr15adzyzYvn27lffY+cVl4ZxgxItvv/3W6vvKYGcmFy5cUCfdcGgMlDKsWrVKDQdQvXp1dcELA8Xmhm9GMj+eF/vC82FfeD7sD8+J/bngYN/vrIo1EwxTgpIdtD3Rh3r1xMTEVG3n6tWrJ8eOHVODE5Nl8bzYF54P+8LzYX94TuzPfgf7fmeJnZn079/f6Hr0TsIAhV5eXrp1BQsWVMW6Dx8+5GjtFsbzYl94PuwLz4f94TmxP/0d7PudJXYWho4R+icdtOtoiEm2wfNiX3g+7AvPh/3hObE/MXb6/c5gZ2GY2sXwBGvX0bCSbIPnxb7wfNgXng/7w3Nif7zt9Pudwc7CMJ/igwcPVD28fvEtTjp6lpFt8LzYF54P+8LzYX94TuxPETv9fmews7CqVauqqXeOHj2qW3fo0CE17QsH9bQdnhf7wvNhX3g+7A/Pif2paqff7wx2FobJmLt27aomk//3339l69atagDDwYMHW/qhiefFYfB9Yl94PuwPz4n9yWmn3+/sFWsFmPgXJ37IkCFqbtjRo0erGSfItnhe7AvPh33h+bA/PCf2Z4Idfr+7pRiOuEdEREREDolVsUREREROgsGOiIiIyEkw2BERERE5CQY7IiIiIifBYEdERETkJBjsiIiIiJwEgx0RERGRk2CwIyIiInISDHZEREREToLBjigb3nnnHalcubL8888/Dn0cW7duLc2bN39i/ZUrV3TL169fV8/1rbfesso+4bH69etn9vs9ffq0mgIoKChIateuLXXq1JFevXrJwoULJT4+XlyF/rm19H1b6lxm1scffywjR47M8nsEz6N69ery4MGDNLfDZwG2w2XVqlW69Zhq6qOPPsrSYxNlBueKJSJ59913RX92wYiICBk+fLiUKVNGPv/8c5scoalTp0qBAgXMep+zZs1Sl/z588tzzz0nAQEBEhkZKTt27JDPPvtMNm/eLPPnz5dcuXKJM5s9e7a6nDhxwqz3i9fQiBEjJCYmRhYvXmzRc5lZ+/fvV0Hrt99+y9b9JCYmqsne8WPAmN9//93o+nHjxknHjh3VD4pGjRplax+I0sNgR0TStm3bVEcBJRJHjhxRwc5WunTpYtb7W7JkiXzzzTfSpk0b+frrr8Xb21t327Bhw2T69OkyZ84cFXJnzJghzmz37t2SkJBg9vtNSkqSnTt3SsOGDS16LjMrOTlZ3n//fenatauULl06y/eDHwQ4bsHBwUaDHULfH3/8oULsvXv3Ut1WqlQp6dGjh9qPjRs3iru7e5b3gyg9rIolIqeHEkiUGhUuXPiJUKcZO3aslC1bVrZt2yY3btywyX6SZaAk9vLlyzJgwIBs3Y+np6f6YbBv3z55+PDhE7fv3btX/ShCqZwxAwcOVNXU2B8iS2GwI7Kio0ePyssvv6xKNGrUqKG+AGbOnClxcXFPbLthwwbp3r27agcWGBgo06ZNU1VJhm36oqKiVGlT586d1ba4X5TAoQr10aNHuu3Wrl2r/hf327NnT7Vd+/btVbWZfhs7bNeuXTu1vG7dOqNtCLEfeDzcR7NmzeTTTz9N9VhaOyNUe+H54f5r1qyp/gclGijZQOkY1teqVUu6desmu3btyrBdFkpBPvnkE/V/Tz31lHqeCGyoTk0PvkhjY2OlT58+RkMduLm5qWpYfGmXKFFCtx7/h+eAc4Xni3OHc4hzqe/bb79V+3z+/HlVKtO0aVP1nFHl+8svvzzxeKY+l0uXLskbb7whTZo0UY+Pc4Pzjf0yPF54XBxflAzhPlHlhyrAO3fupNru8OHDumW0E4VBgwap57hmzRp5+umn1XnB/pj6GsM5R/szrdoT943XUlrn8tatW/Lee++p1x3uD39xHev1aft19uxZ1TygXr16ql3k888/L8eOHRNT/Pjjj1KpUiWpUqVKlo6Zvg4dOuiqYw2hJA4lgng+xlSoUEE95vfff2/SfhNlBatiiawEH/pvvvmmqs7BL3dU1/z1118qEKBqDI33fXx81LbfffedfPnll+qL8rXXXlNf9j///PMT94kvmMGDB8u5c+ekb9++ahlftJs2bVJfZvhy+uqrr1L9zwcffCDPPPOMCnf4ws6ZM2eq2xs0aCDjx4+XKVOmSP369aV3795Svnx5XZBAidaePXukf//+UrBgQdmyZYtqT3X37l315a8PYRT3j/1CFRaC0+uvv66Cw82bN1Otf/XVV9V+64cqfWFhYSro3r9/X+171apV5cyZM/LTTz+pauNFixapEhVjtACAUJAeVJfpQ+gdMmSI+n8EGYQMPM/ly5er0h88P3zR60MbM5QM4i86Y+C84nhiHZ53Zp7Lv//+qwKMn5+fejy8dhAo586dq0qHsJ1+UMXr6ddff1WvBYRYhNT169dLSEiILFu2TG2DsIb2dSg5wjLaGWpwTrDuxRdfVNcR4kx9jeE1gtcMnmu5cuVU+K1bt67R43zx4kX1fPD6w+urYsWKKritXr1avb6WLl2qSk81OE54zyD8vf3226ojD44Vjs2ff/4pefLkSfOcYv9w/oYOHWr0dlOOmT4Edjwenj/OnQbnGmEvo1JB/P8PP/ygAmzRokXT3ZYoS1KIKMvGjx+fUqlSpZR9+/alu11kZGRK/fr1Uxo1apRy9+7dVLd98cUX6j6+/fZbdf3WrVspNWrUSOnWrVtKXFycbrurV6+mPPXUU6keb+vWrer6999/n+o+4+PjUwIDA1Nq166tW7dmzRq17YABA57Yv1atWqntNVeuXFHb4vlpQkJC1Drs2+XLl3XrExISUtq0aZNSvXr1lNjYWLUO+4dtmzRpkhIREaHb9scff1Tr8ViPHj3SrV+8eLFav3LlSt06XO/bt6/u+oQJE9S6nTt3ptp3HDes37JlS5rHf9iwYWqbCxcupGTGzJkz1f9Nnz491Xqco4YNG6bUq1dP9/y++eYbte0LL7yQkpycrNv2n3/+UevfeOONTD0X3EenTp1SWrRokfLgwYNU2+E4YbvvvvtOtw7XcTl06FCqbQcOHKjW658zHFesM7bdqlWrUq3PzGsMrwVsi/vSZ3guBw8erNb9/fffqbbD8TD8f22/5syZY/RYrVixIiU969evV9utW7fuidsyc8z03yM4f9WqVUt1XrZt26b+5/z587r3mv7r2XB/1q5dm+5+E2UVq2KJrAAlXGjnpZXU6Rs1apQqqUOJHuBXP379v/DCC+Ll5aXbDiUrqNbTh/Y+qALD/epDqRJKFaKjo1XDcX2NGzfO1nNBKY5+pwoPDw9V9YSSN5Ss6EMVcu7cuXXXUZIDLVu2FF9fX916rUH77du30+xtiZJBVKcZDsuCUhtUGaMkJC1aQ3XDY5ERNJLHuUHpm74iRYqoY46SVJS26kN1Jap1NVq1HM5JZp4LSrBQrduiRQu13zi22qVVq1aqpA73o69kyZJPlJIZPn5GtFLF7LzG0oP9x/2hShvVy/pwPLAeVbmGnQ8MX/va80LpZ3quXr2q/uqXTGb3mBmrjkVvWJxTVLemR3uta/tFZG6siiWygmvXrqm/xj70UVWJKkBtGzTyBv2qKA2quwwh/KHN24EDB9R9oJoqPDxcFy7wpZsjx///hkP1aXYUKlToiXVaFbLhOHCGj4UQaGy9Frz0h1zRh4bqCMaGQQBQTVmtWrV09xlBTAsBqPYzFY4nzo32/PRp94Pjrc/wuWnhXAs/pj4XtK0DVPviYoxhJw9j50Z7fPRYNYWx10dmX2Ppwf/iPKd1HrAewQ7b6f8Iyui4pkX7saH/AyO7xwznLm/evCr4ozoWzRS2b9/+xA8AY7T9MPwRRGQuDHZEVpBWYNHgC0T7MtHCkX5pncYwYKAdENr04EsCJR24oO0bStXQlu7gwYNP3Ed2h1kw9QtcP8gZ0i/RMgVKR7LyfxocF7SXwvEwLJHSt3LlSlUKhtJSfHmnd960QGF4njI6PqY+F+2x0fYLnVxMOb5ZPT7p7X9WXmPZfS9k5bimRfu/tEJaVo4Zjjs6saB0FUEdJZAouezUqVOG/6u9brL6fIgywmBHZAVaNdCFCxeeuA0N9FHyolXRaCV1KLExLNXQSnE0aESP6kt0tkCVnb6MqqgcCToNoOpWK83Uh8CBmSQQftL6YkUVH0pK0OMTY9YZdhjRvvgx1h06MaB6XDtvCDYokTEM1agmheLFi1vkuaCKUAtChmEU4QA9fQ07e1iCuV9j2j5rx88Q3iMIW1opa3ZpJXLpzRaRFRhsGD8EUFKHDhzoUWvK+dBK6oyVFBKZA38yEFkB2kyhmg09Ww3bDmHYDwx3opXKoCQAJQLYVn8QWfTuQ+89fdqXFdr26MOXvtaGx9QqOH1aaUJm26RZCkoZMSwI2p2hN6g+9KTE802v5AXHfsyYMaonIoayMBxeBs9z8uTJKtThcVAaBTgnCHXz5s17ItCg5yZmqMBwL5Z4LmjnhR7C6KFpGAJXrFiheksjqGZFZtocZuY1Zsr9Ithq7egMnz96qKIEELdjO3PQAnJoaKiYE/YRVcUYPghD9ZhSWqe/H9p+EZkbS+yIzADDPqQ1lRCG98iXL5+qtsJQEGgEjmEV8KWAThUY3gHDmrz00ktqe3yZv/LKK2oYFIz99eyzz6pqHgQJ/AUtxKBhO/4f43thJHxUX6EdFDpioIQJoQTtuTJbOoAvVYQ7fPmiVCK9jgnWgjlqUeWFEjdUT6I08+TJkyrcoJNGWtWVGjT+R7stDD+C4V60KcUQmDGOGYIWxm5DwNNg2A9MN4bhQVDChOpZBHO0eUPHCQwNot8JxJzPBSEJ4wOi3RbacWE7lOoeP35cbYd9z+q8p1rbNczEgYCSXvV0Zl5jeF3itYOAjNcrhssxDISA9wKqc/H88V5A21McX7zW0HYNt5sLXrs4lhi7D2PVmQvuEz/CUMWP94rhsDdpOXTokNo+sz8IiEzFYEdkBvjyTwu+EBHsECSKFSumqrQw/hja0uHLGSUvaNOlPx4ZxnRDY3GU2mGsNPw/vpRQ0oQQqbU/wjp8saIKEduhBAn3icnOtWmU0GsTY6ZlBu4H4QPjy2EQXVQP2np+Sxw7BBoEXjRaR6kVSj0QbhDAMmo7iC9TTBeGHqUIZihxQqjDeoQPHCuEDP12awhtOAc4Zxi3DFVuqNLFeHgI4lrJnqWeCwIXwg5KdTHYL8Ikxj5DKELgy2p1HsaYQ7X+ggUL1Bhv6QW7zL7GMOAxxmDE3Lt4HGPBDkEOzwfz9uI84PnjuSDA4keNuaphAe8d9Ho1HGTbXNWxCHYIsKbuM34s4XVj67lzyXm5YcwTW+8EEf0/lMqhastYL77//e9/6oseJSisyiEyDUoXUXKOkI4BuG0FpXUI5RjQ2dSqW6LMYhs7IjuDKimUAGAaK30orUHJIEo20pqdgYiehCnJUEqIkkFbwuNjLEdTq22JsoJVsUR2Bo3mMZ8keiOiBx2mm8KQCqi6QvsuVHOZY1gLIlehVcOjWQSqhzMaRNgSMI0a2uHifc2hTsiSWBVLZIcQ6ND+CSPboycnhufAcApo12Xrtm5EjgqdMjAfLtpMWhvaDmK+4I8++sjqj02uhcGOiIiIyEmwjR0RERGRk2CwIyIiInISDHZEREREToLBjoiIiMhJMNgREREROQkGOyIiIiInwWBHRERE5CQY7IiIiIicBIMdERERkTiH/wNoJZVnmFKeowAAAABJRU5ErkJggg=="
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 12
},
{
"cell_type": "markdown",
"source": [
"#### Box Highlight Colors\n",
"The box highlight can be further modified for color and specific response position you may be interested in. For example, what if you want the box to be red and also highlight IC$_{60}$ or IC$_{90}$? This can be achieved by using the \"box_intercept=\" and \"box_color=\" parameters"
],
"metadata": {
"collapsed": false
},
"id": "6c10e6178b6dac3a"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='Plot with More Colors!',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (µM)',\n",
" ylabel='Inhibition %',\n",
" line_color='#008080',\n",
" box=True,\n",
" box_intercept=60,\n",
" box_color='red',\n",
" legend=True)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:16.349081Z",
"start_time": "2026-05-21T04:04:16.145777Z"
}
},
"id": "3949d923e1e20565",
"outputs": [
{
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 13
},
{
"cell_type": "markdown",
"source": [
"#### Line Highlights\n",
"Maybe a box is not good for a specific plot. That can be changed by using vertical and horizontal lines that span the entire graph. This can be accessed using the hline and vline arguments.\n",
"\n",
"**Note:** For the vline argument, the concentration must be in the same unit as the graph. In this example the units are in nM, so the vline input must be 6000. If the x-axis was in µM, then the input will need to be 600. "
],
"metadata": {
"collapsed": false
},
"id": "ce8806b1f1bd176f"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='Plot with Colored Lines',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" line_color='orange',\n",
" hline=60,\n",
" hline_color='green',\n",
" vline=600,\n",
" vline_color='purple',\n",
" legend=True)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:16.515736Z",
"start_time": "2026-05-21T04:04:16.364377Z"
}
},
"id": "9439bc9783fa8433",
"outputs": [
{
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 14
},
{
"cell_type": "markdown",
"source": [
"#### Combining highlights\n",
"For those interested, the highlighting options can be combined furhter. Here the plot has the box, hline, and vline to highlight specific areas on the plot. "
],
"metadata": {
"collapsed": false
},
"id": "d8eadd34dde85022"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='Plot with Colored Lines and A Box',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" line_color='orange',\n",
" box=True,\n",
" box_color='red',\n",
" hline=70,\n",
" hline_color='green',\n",
" vline=8000,\n",
" vline_color='black',\n",
" legend=True)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:16.699395Z",
"start_time": "2026-05-21T04:04:16.546653Z"
}
},
"id": "44c09805c2d683e4",
"outputs": [
{
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 15
},
{
"cell_type": "markdown",
"source": [
"#### Adjusting x-axis\n",
"\n",
"Finally, the x-axis can be further adjusted. \n",
"\n",
"The scale can be changed from log to linear using the \"conc_scale=\" argument, changing the shape of the curve from sigmoid to a normal curve. The units of the scale can be changed to nM using the \"xscale_unit=\" argument. Currently only µM and nM optoins are available. "
],
"metadata": {
"collapsed": false
},
"id": "46d70b26ee122108"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='A Linear Plot',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" line_color='#008080',\n",
" box=False,\n",
" legend=True,\n",
" xscale='linear',\n",
" conc_unit='nM',\n",
" xscale_ticks=(-2.5, 10))"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:16.790473Z",
"start_time": "2026-05-21T04:04:16.710204Z"
}
},
"id": "84cdac16babb8446",
"outputs": [
{
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 16
},
{
"cell_type": "markdown",
"source": [
"For this dataset, the \"conc_scale='linear'\" does not look as good. \n",
"\n",
"Also notice how on the linear plot the xscale_ticks was also adjusted to fit the concentration in nM scale. This was achieved using the \"xscale_ticks=\" argument. Note that the xscale_ticks will affect how the line curve is drawn and should be adjusted to fit the dataset on the plot. Notice how the plot below has the xscale_ticks ranging from 0 to 2 and how it would affect the resulting curve line. This will also have an impact on the box highlighting the specific inhibition response. Or more specifically, the box is \"constrained\" to the end of the drawn line. "
],
"metadata": {
"collapsed": false
},
"id": "f7921f82c678764e"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='X-Axis is Set to nM',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (nM)',\n",
" ylabel='Inhibition %',\n",
" line_color='#008080',\n",
" box=True,\n",
" box_color='orange',\n",
" legend=True,\n",
" xscale='log',\n",
" conc_unit='nM',\n",
" xscale_ticks=(0, 2))"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:16.946349Z",
"start_time": "2026-05-21T04:04:16.796337Z"
}
},
"id": "4884aadf1347af60",
"outputs": [
{
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 17
},
{
"cell_type": "markdown",
"source": [
"## Verbose\n",
"To plot the graph, calculations were performed in the background. The results of these calculations can be printed alongside the generation of the figure using the verbose= argument. \n",
"\n",
"In this example, when the verbose=True, information about what unit the drug concentration is in, the unit of the x-axis, and the concentration of the drug at 50% response is given. "
],
"metadata": {
"collapsed": false
},
"id": "be65ef7a7a9d118a"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='X-Axis is Set to µM',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (µM)',\n",
" ylabel='Inhibition %',\n",
" line_color='#008080',\n",
" box=True,\n",
" box_color='orange',\n",
" legend=True,\n",
" xscale='log',\n",
" conc_unit='µM',\n",
" xscale_ticks=(-2.5, 2.5),\n",
" verbose=True, # Verbose argument\n",
" output_filename=None)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:17.167875Z",
"start_time": "2026-05-21T04:04:16.958879Z"
}
},
"id": "8e9b9db822c1d0b6",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Compound Name concentration will be in µM!\n",
"Concentration on X-axis will be in µM\n",
"Box X intersection: 0.585 µM\n",
"Box Y intersection: 50 %\n"
]
},
{
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 18
},
{
"cell_type": "markdown",
"source": [
"## Saving the figure\n",
"Finally, the figure can be saved using the \"output_filename=\" argument. Change \"None\" to file path of choice. Image should save in .png format. "
],
"metadata": {
"collapsed": false
},
"id": "33c62e29e9764c32"
},
{
"cell_type": "code",
"source": [
"figure = plot_data.curve_plot(concentration_col='Compound Conc',\n",
" response_col='% Inhibition Avg',\n",
" title='X-Axis is Set to nM',\n",
" name_col='Compound Name',\n",
" xlabel='Logarithmic Concentration (µM)',\n",
" ylabel='Inhibition %',\n",
" line_color='#008080',\n",
" box=True,\n",
" box_color='orange',\n",
" legend=True,\n",
" xscale='log',\n",
" conc_unit='µM',\n",
" xscale_ticks=(-2.5, 2.5),\n",
" output_filename=None)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:17.346590Z",
"start_time": "2026-05-21T04:04:17.196534Z"
}
},
"id": "3623f9dfa0c4344d",
"outputs": [
{
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 19
},
{
"cell_type": "markdown",
"source": [
"Additionally, the figure can also be saved as follows:"
],
"metadata": {
"collapsed": false
},
"id": "9411166a0ae0e0a4"
},
{
"cell_type": "code",
"source": [
"figure.savefig('tutorial_figure_001.png')"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-05-21T04:04:17.407323Z",
"start_time": "2026-05-21T04:04:17.354367Z"
}
},
"id": "715614fffa8a787",
"outputs": [],
"execution_count": 20
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}