Pandas-Bokeh provides a Bokeh plotting backend for Pandas, GeoPandas and Pyspark DataFrames, similar to the already existing Visualization feature of Pandas. Importing the library adds a complementary plotting method plot_bokeh() on DataFrames and Series.

With Pandas-Bokeh, creating stunning, interactive, HTML-based visualization is as easy as calling:

df.plot_bokeh()

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Pandas-Bokeh also provides native support as a Pandas Plotting backend for Pandas >= 0.25. When Pandas-Bokeh is installed, switchting the default Pandas plotting backend to Bokeh can be done via:

pd.set_option('plotting.backend', 'pandas_bokeh')

More details about the new Pandas backend can be found below.

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For more information have a look at the Examples below or at notebooks on the Github Repository of this project.

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var labels = {0: ‘Apples’, 1: ‘Pears’, 2: ‘Nectarines’, 3: ‘Plums’, 4: ‘Grapes’, 5: ‘Strawberries’};\n return labels[tick];\n “},”id”:”1071”,”type”:”FuncTickFormatter”},{“attributes”:{},”id”:”1047”,”type”:”LinearScale”},{“attributes”:{},”id”:”1181”,”type”:”Selection”},{“attributes”:{“axis”:{“id”:”1049”},”coordinates”:null,”group”:null,”ticker”:null},”id”:”1052”,”type”:”Grid”},{“attributes”:{},”id”:”1244”,”type”:”LinearScale”},{“attributes”:{“range”:{“id”:”1041”},”value”:-0.25},”id”:”1073”,”type”:”Dodge”},{“attributes”:{},”id”:”1045”,”type”:”LinearScale”},{“attributes”:{},”id”:”1043”,”type”:”DataRange1d”},{“attributes”:{“coordinates”:null,”group”:null,”text”:”Fruit prices per Year”},”id”:”1039”,”type”:”Title”}],”root_ids”:[“1498”]},”title”:”Bokeh Application”,”version”:”2.4.3”}}’; const render_items = [{“docid”:”eed9e7c9-3b10-4400-b73c-d7544fa88732”,”root_ids”:[“1498”],”roots”:{“1498”:”0492de96-0bc9-4704-b686-4559ca06bdb3”}}]; root.Bokeh.embed.embed_items(docs_json, render_items); } if (root.Bokeh !== undefined) { embed_document(root); } else { let attempts = 0; const timer = setInterval(function(root) { if (root.Bokeh !== undefined) { clearInterval(timer); embed_document(root); } else { attempts++; if (attempts > 100) { clearInterval(timer); console.log(“Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing”); } } }, 10, root) } })(window); }); }; if (document.readyState != “loading”) fn(); else document.addEventListener(“DOMContentLoaded”, fn); })();

Installation

You can install Pandas-Bokeh from PyPI via pip

pip install pandas-bokeh

or conda:

conda install -c patrikhlobil pandas-bokeh

With the current release 0.5.5, Pandas-Bokeh officially supports Python 3.6 and newer. For more details, see Release Notes.

How To Use

Classical Use

The Pandas-Bokeh library should be imported after Pandas, GeoPandas and/or Pyspark. After the import, one should define the plotting output, which can be:

• pandas_bokeh.output_notebook(): Embeds the Plots in the cell outputs of the notebook. Ideal when working in Jupyter Notebooks.

• pandas_bokeh.output_file(filename): Exports the plot to the provided filename as an HTML.

For more details about the plotting outputs, see the reference here or the Bokeh documentation.

Notebook output (see also bokeh.io.output_notebook)

import pandas as pd
import pandas_bokeh
pandas_bokeh.output_notebook()

File output to “Interactive Plot.html” (see also bokeh.io.output_file)

import pandas as pd
import pandas_bokeh
pandas_bokeh.output_file("Interactive Plot.html")

Pandas-Bokeh as native Pandas plotting backend

For pandas >= 0.25, a plotting backend switch is natively supported. It can be achievied by calling:

import pandas as pd
pd.set_option('plotting.backend', 'pandas_bokeh')

Now, the plotting API is accessible for a Pandas DataFrame via:

df.plot(...)

All additional functionalities of Pandas-Bokeh are then accessible at pd.plotting. So, setting the output to notebook is:

pd.plotting.output_notebook()

or calling the grid layout functionality:

pd.plotting.plot_grid(...)

Note: Backwards compatibility is kept since there will still be the df.plot_bokeh(…) methods for a DataFrame.

---

Plot types

Supported plottypes are at the moment:

• Pandas & Pyspark DataFrames

  • lineplot

  • pointplot

  • stepplot

  • scatterplot

  • barplot

  • histogram

  • areaplot

  • pieplot

  • mapplot

• Geoplots (Point, Line, Polygon) with GeoPandas

Also, check out the complementary chapter Outputs, Formatting & Layouts about:

• Output options (how to get HTML representation of Bokeh plots)

• Number formats in Pandas-Bokeh (modify Hovertool number format, suppress scientific notation on axes)

• Dashboard layouts (How to layout multiple plots in rows, columns and grids)

---

Lineplot

Basic Lineplot

This simple lineplot in Pandas-Bokeh already contains various interactive elements:

• a pannable and zoomable (zoom in plotarea and zoom on axis) plot

• by clicking on the legend elements, one can hide and show the individual lines

• a Hovertool for the plotted lines

Consider the following simple example:

import numpy as np

np.random.seed(42)
df = pd.DataFrame({"Google": np.random.randn(1000)+0.2, 
                   "Apple": np.random.randn(1000)+0.17}, 
                   index=pd.date_range('1/1/2000', periods=1000))
df = df.cumsum()
df = df + 50
df.plot_bokeh(kind="line")       #equivalent to df.plot_bokeh.line()

<script type="text/javascript">
    (function() {

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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”Google”:{”ndarray”:”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Note, that similar to the regular pandas.DataFrame.plot method, there are also additional accessors to directly access the different plotting types like:

• df.plot_bokeh(kind="line", ...) → df.plot_bokeh.line(...)

• df.plot_bokeh(kind="bar", ...) → df.plot_bokeh.bar(...)

• df.plot_bokeh(kind="hist", ...) → df.plot_bokeh.hist(...)

• …

Advanced Lineplot

There are various optional parameters to tune the plots, for example:

• kind: Which kind of plot should be produced. Currently supported are: “line”, “point”, “scatter”, “bar” and “histogram”. In the near future many more will be implemented as horizontal barplot, boxplots, pie-charts, etc.

• x: Name of the column to use for the horizontal x-axis. If the x parameter is not specified, the index is used for the x-values of the plot. Alternative, also an array of values can be passed that has the same number of elements as the DataFrame.

• y: Name of column or list of names of columns to use for the vertical y-axis.

• figsize: Choose width & height of the plot

• title: Sets title of the plot

• xlim/ylim: Set visibler range of plot for x- and y-axis (also works for datetime x-axis)

• xlabel/ylabel: Set x- and y-labels

• logx/logy: Set log-scale on x-/y-axis

• xticks/yticks: Explicitly set the ticks on the axes

• color: Defines a single color for a plot.

• colormap: Can be used to specify multiple colors to plot. Can be either a list of colors or the name of a Bokeh color palette

• hovertool: If True a Hovertool is active, else if False no Hovertool is drawn.

• hovertool_string: If specified, this string will be used for the hovertool (@{column} will be replaced by the value of the column for the element the mouse hovers over, see also Bokeh documentation and here)

• toolbar_location: Specify the position of the toolbar location (None, “above”, “below”, “left” or “right”). Default: “right”

• zooming: Enables/Disables zooming. Default: True

• panning: Enables/Disables panning. Default: True

• fontsize_label/fontsize_ticks/fontsize_title/fontsize_legend: Set fontsize of labels, ticks, title or legend (int or string of form “15pt”)

• rangetool Enables a range tool scroller. Default False

• kwargs**: Optional keyword arguments of bokeh.plotting.figure.line

Try them out to get a feeling for the effects. Let us consider now:

df.plot_bokeh.line(
    figsize=(800, 450),
    y="Apple",
    title="Apple vs Google",
    xlabel="Date",
    ylabel="Stock price [$]",
    yticks=[0, 100, 200, 300, 400],
    ylim=(0, 400),
    toolbar_location=None,
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                        height="42" alt="@imgs" width="42"
                        style="float: left; margin: 0px 15px 15px 0px;"
                        border="2"></img> Apple 
                        
                        <h4> Stock Price: </h4> @{Apple}""",
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values”},”y”:{“field”:”Apple”}},”id”:”1958”,”type”:”Line”},{“attributes”:{“months”:[0,6]},”id”:”1981”,”type”:”MonthsTicker”},{“attributes”:{“days”:[1,8,15,22]},”id”:”1976”,”type”:”DaysTicker”},{“attributes”:{“source”:{“id”:”1954”}},”id”:”1960”,”type”:”CDSView”},{“attributes”:{},”id”:”1968”,”type”:”UnionRenderers”},{“attributes”:{},”id”:”1982”,”type”:”YearsTicker”},{“attributes”:{“months”:[0,4,8]},”id”:”1980”,”type”:”MonthsTicker”},{“attributes”:{“label”:{“value”:” 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price [$]”,”coordinates”:null,”formatter”:{“id”:”1963”},”group”:null,”major_label_policy”:{“id”:”1964”},”ticker”:{“id”:”1987”}},”id”:”1936”,”type”:”LinearAxis”}],”root_ids”:[“1921”]},”title”:”Bokeh Application”,”version”:”2.4.3”}}’; const render_items = [{“docid”:”41f0401e-cb5c-40ad-a499-32eee14de0cd”,”root_ids”:[“1921”],”roots”:{“1921”:”072f6cc7-6237-4028-8922-633db248fd4c”}}]; root.Bokeh.embed.embed_items(docs_json, render_items); } if (root.Bokeh !== undefined) { embed_document(root); } else { let attempts = 0; const timer = setInterval(function(root) { if (root.Bokeh !== undefined) { clearInterval(timer); embed_document(root); } else { attempts++; if (attempts > 100) { clearInterval(timer); console.log(“Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing”); } } }, 10, root) } })(window); }); }; if (document.readyState != “loading”) fn(); else document.addEventListener(“DOMContentLoaded”, fn); })();

Lineplot with data points

For lineplots, as for many other plot-kinds, there are some special keyword arguments that only work for this plotting type. For lineplots, these are:

• plot_data_points: Plot also the data points on the lines

• plot_data_points_size: Determines the size of the data points

• marker: Defines the point type (Default: “circle”). Possible values are: ‘circle’, ‘square’, ‘triangle’, ‘asterisk’, ‘circle_x’, ‘square_x’, ‘inverted_triangle’, ‘x’, ‘circle_cross’, ‘square_cross’, ‘diamond’, ‘cross’

• kwargs**: Optional keyword arguments of bokeh.plotting.figure.line

Let us use this information to have another version of the same plot:

df.plot_bokeh.line(
    figsize=(800, 450),
    title="Apple vs Google",
    xlabel="Date",
    ylabel="Stock price [$]",
    yticks=[0, 100, 200, 300, 400],
    ylim=(100, 200),
    xlim=("2001-01-01", "2001-02-01"),
    colormap=["red", "blue"],
    plot_data_points=True,
    plot_data_points_size=10,
    marker="asterisk")

<script type="text/javascript">
    (function() {

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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”Google”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”__x__values”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”Google”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”Google”:{”ndarray”:”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Application”,”version”:”2.4.3”}}’; const render_items = [{“docid”:”0e52ad78-d118-4a91-9a1e-99ea5c366ddf”,”root_ids”:[“2073”],”roots”:{“2073”:”34bfc5d8-1e2b-450b-8259-54d8a3456d18”}}]; root.Bokeh.embed.embed_items(docs_json, render_items); } if (root.Bokeh !== undefined) { embed_document(root); } else { let attempts = 0; const timer = setInterval(function(root) { if (root.Bokeh !== undefined) { clearInterval(timer); embed_document(root); } else { attempts++; if (attempts > 100) { clearInterval(timer); console.log(“Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing”); } } }, 10, root) } })(window); }); }; if (document.readyState != “loading”) fn(); else document.addEventListener(“DOMContentLoaded”, fn); })();

Lineplot with rangetool

ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))
df = df.cumsum()

df.plot_bokeh(rangetool=True)

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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”uodoJUaI67/gsFd/IpEBwEretn//VQXASkMi5qVBEMAkif5+xpUbwAI/2ncNcB3AECi32+X9HsBMfItaodoewC4apus/ZCHAoe+i5PgMIcAwgRcimrwgwBDtUwks1iTAHlfXfC5xIsCADBKhdgIkwM1BNfPQmSPAYysDoT1EJMDAiHjDlZ8jwLmw4zTpPCLAmQUS68zyHcD6kSnHfLwbwMPlvkfCLBvAtPAk6FHvGcCQYdcwSVwZwHG0S/SarhfAZeQGUQ5ZFcASSamI9+wRwIizESfgehDAOPiASZH1F8Cnh6xoEswcwDOhq50A0h/AoI8HQG4iIcB79UrddE8fwDJTYqlpeiDAsNeSPAL6GsAnVw/ZrQ8fwGjMWuD6yCPAsPShPlHYIsDGBEfvZaMkwPQJfZxOYyXA2S5cOUorJcDBcgvz3UEkwLLTnafNwifAdlSdRceXKMAo2b+9cwonwF/i/YUrCyjAhZxwQdX/JsDNKE0klFYkwGI3qCnQrSDAuF5OsQvqIcAigej0N64lwPqoJAxk1CTA7x57JwMvJsCo6y8m/EclwG1nbzcWPCLA58vCrppII8DwOkhHxMQhwIm/H9COviPANwPvLYnSI8D6KU1Qx/8fwGS9euFogiLAgCNmHJOLGcA0jbXfIHUWwIBWiZee4x3AwCXDOBuoGcBJxCCfa4EcwNPZBEdQUhzALrQUxoGOFMAewJ1rgPgRwJyFSjkeLA7AU1mNLhQZDcCOd6YJk9sMwBZiDBCS1ADAtihIY3kiA8CFQ6O7M24AwG8936SZ/gfAq6/JxHh/D8DtQFG1yAEHwJ0gviltAgfABHBiY6cgD8BsExOvNH4TwJkk+sL4GxfAb+VMY2Y1FcDZdhFWnd4RwItpKAWIJQ/AZ3C6a08rEMDUeYfc0CMRwLF1hDOHQAXAeEzbShhZBsDL3TsRFLsFwBiAc+dcYRPAaTnDGTQhGsCuEPLvEFESwN9MMPzayhHA0qzRdJIgBcA/1jgM8tcMwADN0LSzUQPA2MVfm6rUB8AOsZzo3rcGwKTIHHrVUgfAaof0r0LS9r/O11FNC2nrv1oAoA9NHAvAaHRfjKd49b9QgRSIY2QBwANDV1eedf+/jP/pPPVYAMCmqVn7Bljvv0DTAUsVML8/wDIFN3B8mD9tRzBtzAn0v69r95s+3f2/2nnKX2gPCMCrarIafl4LwM+XA/ad2g/AMNot9aNuEcB8vGI4oq8DwPxcwFM/YQ7AGyvvToYQEMDnvxeQlU4UwIxBWEbEuhzA6pKShTCSI8Bj+yE6+5kkwE4K1b7zyyfAPAAQxwjeKMBjmZzVp/YowMQA+g/XNyrA0hng3Yr2LMA5rxLtvgcuwKdZwJFEwzDA0538fJ9WMMBaARZ85tQywEuSzuFpATTA6QVHh4wONcA7ZRoWv0s2wHZGyq+4GzfAXA0/20OoNcCDXrJtGlg1wBJGK0tGYTXAASpo7FDeMsBGM9Xezr4ywEtGiSeKgDPARDgrgFBzM8CTgmLO4osywGL/Ams1WjLACAov6pv9MsBk6StHyagxwDdK/5fs8zLAC3Hk5ltZM8AzFS/CGNQ0wB84qERF0jPAH3BA01yKNMByIAM11VQ1wPogFaggvzXAQjYeNsxZNcDMzpKZiqI1wACYXQOQSDXAcGE6HDk7NsDKHQpYNd02wKspomOyHjbAso9eEPa/NcAkyXznsu41wNR0ag3lCzfAM0A4TEN6N8A7tWVWoU04wBQ/wLzEYzrAaYB8/yceO8BjzzylK2A8wDnE8m53CTzA4xrli4E3O8Blcvje9107wCDWXT62wjvANCZ07HKcPMDRsUauScM8wKdE0/2ZtDvAkgXIOXRfO8BjieCIles5wCrUstTVnDnACLYMobySOcCDo4JqrrQ7wOlVENHaZTnAbktNstexN8Cvaf9nqRw3wPyx3zWYbTnA5/YSUHVIOcCqP6pGQXE5wAInGq3O6zjASaXbqkUaOcDOvwxkppM6wEEFQT1lBjvAcKhwvp/7OMBD3WKrdv44wELVDV70+TjAQJpfloCHOcCB2at9/Ek6wOkbLMl3hDvAtHgbJhrYO8C56MgeC2U8wKAKpX1nFzvAVu9CuQNVO8BIyEP5tx47wA5cPldjuDzABrxvGuc0PMDoRm2aVmU7wNlaa61VTDvAgSytYAJsO8Dt2nHgESc7wBAD5isc+znAE0bzYP9/OcD4TKJ2R+w6wABt+QIPizrALiE2vsNAO8DfNc3hvGw6wBHMWuuf2zvA04FqjA73PMDxo3Tiq188wA4uEPm9KT3AJ7AJbzrkPcDlsZXUOOU8wHIXHJVQXz7AKBhmBhshPsCIyigVK/Q9wNBFu7jgaj3AWU7ijGCRPMDi8t1g03k+wKtgGdXswz3A1bK8djjlPcAZoqTmqDc+wJ0yW95F9D7A8v1g85PMP8D444xGNUA/wAl8ztPNBj/AodM/SOtcP8BGmTNr0jA/wFYPipILbj7APxXReDzDP8BR2aWhTIg+wD0UiTdznj3Ay7h3xuHlPsD6tM0D1VM+wJceSAMlkT7A+liSFzGtPMCxhEDyO1A8wKoXWkXUBTvAG3hSc6LvOsBXRPzSH305wFK+FIIg2TfA8fvB7STuOcC7NG0YcrQ6wLsNpAoq9DnA5YQXFClGOsCZCMQHJk46wO8tnopztjnAI4ao1VEUOcAeJjkkdeE4wPPTXBM9LzjAnyB6irObOcBSJDiOK+05wKgvz0PTHznAlXK4H6H2O8ALdZQ3Vi88wAhfQZ5FazvAbwd3oYnVO8BO+CHc2XA7wDOiGqz4PjvATTr64B7MOsBdQyLIoIQ6wEMtNTmlJjvAPH9DNtMYOsBBsa+t6z06wBm5DF/UPzzAXkHNlZHyPMCXDKGN/is9wJCE+rQojz3AcSacpnBWPcB7PVv+c+09wDkRp9vVtD7ALt3fhJh2PsAATwSEPjs+wEvyqtUKwz/AbKRGRXHTQMBvXSStBOVAwE/62ac+cUHAhwAPBkCdQMBTvzlO5fQ/wK2Nxutgnj/AzV2pYPX6PcAN0zN0Nk5AwEeKyHQKL0DA7Ylto6WOQMDLd7JuwctAwDwmynVWjkDAQ3rYnbooQMB11CeO3INAwLFww4OK/0DA3JnhWz/YQMAxICtDbRlBwKIKnvVp60DArILUX37zQMAln8NjEipCwKAEXot58kLAL4hUfgV+Q8CpoKqXMM5DwB9z7iBTXkTA/LY/4FFMRcAFzSBi/IlFwG2PCtHaHUXAr1zLqU7bRMBnsy9MNtpEwLDt52OjmUTA32CqyhfGRMA/C0OF6FNEwGN7LGttGUXA6ocOKcogRcDffLWIhKxFwDO3qqcu9kTA4U0WVOQaRcBaMQJZt9tEwAuR+XDAZETAe6i3PfXuRMBm56FkrmpFwCUZ+8kzLEbAZfA5JzASRsCGPPClq8RFwPF/Cbxa30XAyap+MTHPRcD1lpO+/X1GwB8DjNGESkfAim8YNvyFR8APbezP51RHwFn7hH2IxEbAP5GXV0PSRsB0d9zEnU1GwOer1skLgUbA9b4xEIVnRsDH3+V/GidGwKL/A2WKDkbAYGXHYwsLRsCpkjVn0lJGwHp6X8rzKEfAr5NC225SR8B2Uy7A+7tHwA8LdXlyr0bAQ9TvVd6SRsB6yJaRi4FGwCALwwcpfEXAYEZopJtlRcANc6fGXZlFwNNYHq9yTkXA86N+CKOSRcAabO3wDQ5GwLwTfPHYhEXATTN+T3IYRcCDxs7/S6hEwDqMcXYM6EXAKjF3s5fhRsBJIJ+Jm2xHwJCshqKa/UfANLzq7Wc7SMBPY7gNSYNIwHPcjMwrpkjACcoMhZuJSMDEBfWbD+tIwKk9D2d7K0jAhV9hK4UFSMCQ8Y8eKbBIwAoWgjhxw0fABNV6p3ZXSMCgePpD4SVIwFjpxkA44EfAj+FKJGF/R8Db8Y3wy1pHwK2mJOfsJkjAiMV1dsEmSMDEIzEidmFIwLMbO/mf10fAx3Vx+r6ESMDhI0qfLlRIwH7aYQ4VXUjAO5P6rNbUSMDA/H+3zKhIwIu8D/lIH0jA+nsSx9CMR8Cg7W9ZV9NHwLeByy3JQ0jAlgiZWp1qSMCL2qIzoXFHwJwjJWXWJkfACIhpFGpER8DmX24aFcBHwHzBRj77kUfAGm5wuPG1RsAqLFF3/P5GwP8GrtIs/UbAYkMEQfxHR8D9fdOr9F5GwCfNCeL53EbAg1489UFERsBvZTs8es5GwGyVfUlw5EfA9zRv0yc/R8Akrj2QKMdGwF4XagWh50bAEf012wFTR8CHf91Vl5RHwGN+Gb/K/0jAZv9JwdUiSMBbistKXIFHwG3BEF3rSkfA1Rpqga/fRsBZE1H54ntHwMR78W9sa0fA+Hl5hImcRsCzRvDq5blGwAnG1BwaakbA99lii43iRsAQTn4IzgZHwN1QGRb/GkfADug+qHEWR8BJ4e5sf51HwCyY03zzD0fAHCmymrtZR8BYSobLkARHwHz93chgQkfAs8C6ZO/+RsBS7nrQC1xGwHxC7EwIFUfAI3aVNoAlR8B+7Yq9dSpHwNye/3TE/EbAxAY7vC5lRsDz+RoV4SJGwA35y5exuEfABzj4uTe2R8BoIrwcn3lHwLiVJbxEdUfA81QuMs41R8DgdyUqTFpHwEz+xQTHTUfA0S2X1duBR8ANNpwB5t1GwKm88HNJiEbA5C8AQlhoRsD6eNftXQJGwCRwPNji/0XAkeAT7PhlRcAX2q/2pkBFwAdnVDbFZ0XAdFUFPJB9RcAiShWxvFtFwLG3lbRBVUbAXq/Nb5pcRsDHI7ew4ChHwH7gb7qQXkfA91aKgnjFR8DCYGoEZjVIwPqOp4ruTEjAmN3GlA0uSMDAsvpniLRIwHeEQM40ZUjAqpqQBlTGSMD2tGKno7xIwCwns6SseEjAdCyS8VA7SMCkMWyMQihIwEuDStfPrkfA9SL04I0YSMDGi94QMfBIwLxE70UGM0nA0WDVpjcVScB8lHHG5N1IwCKWPVkILkjAV9wSOLpqSMBKjenTUhlIwGX5tsIyKUjAerZ7eZC4SMA8+U6T1jpJwDV8E9IFxEjA2nUeam8tScCoGIrpNhlJwFL3HK1LSUnAXBMueDkiScD+X6DoYWJJwL+Mgje4dEnAr/IoQg7lSMBGhx3vnUdIwPbMkvLvYUjAlqarM8/cR8AsKExrMaVHwMq+z5QWKUfA/OCJj2WhRsCdI3NvNiVHwFgerzhiQ0fAMmvlU26JRsC9P4UHbZRHwIwkdrCZhUfAvMDz2w0UR8BWpGMJrEJGwPWqXWN7EEXA3omHae/HRMDBGh2SezlDwJ+hVAuFc0PA6hoUFZ8WRMDb/rm5vChEwFeS5iEpR0TAOWTxC8NBQ8BQUZ5a259DwIUw2NffPUTALoaJaQQ8RMDmY7/5GPdDwA1SkUP/TkTADUM0mJsnRcCK9L9tgp5EwO/yYoZntkTA4M5h+SHZRMBAQ7RdpNZEwHqzDCmjUETAFTUSj9xqRMCT6piW2EVEwHzeJBPvDEXAcZ+1cy2IRMDyKMx5x3ZEwB/mtJQ4TUPA8fzGUo+oQ8BS1XNOb85CwJ9XutgEXkPAamWLoc0dQ8AzD1/e/QNDwKYKtPSc+ULAhXb2E1utQ8ARmxRBzvhDwLI6GzKiMETAyqYdhiOIRMDfokvsnXtEwD/uJNWOQUTArTw140DkQ8ATqUatl59DwA+fj33Jj0PAaOvh9BxmQ8Cw/rTQ2alDwDB6rRpTNELAH5ix6OA9Q8Bznk1BQcFCwFT935ulUUPA4ckdeAfRQ8C9QMktN75EwE98oTVY90TAX8liP5fxRcDzpvZHABRFwFTqRYCvX0XA/sZt4c6KRcAI8YLUG8xFwEm2FPU4YkXAsKXSez5aRcDImP6kISdFwA7G400HaEXAr7ENkE5mRcAw1Stgse9FwK9cq9sTdUXAkP6Zb/eVRcDijbVoCfxEwMpKzz3eZ0XA2zUuNZJpRcBMGnoyUDNFwAYGjKEi8UXAOYFKRbBPRsCAsdctZ7NGwNKdhDovHEfA05HIuH6/RsDkl4WFCGZGwDkYKvaqB0fArmWfEU+zRsAnPQhDFX5GwNJTH6uMCUbARk0MpRR/RsAp43p88x1GwNlXgQH5RUbAFOR/WXa7RcD6frW6vThGwE+qbsGdIEbArokvWtg8RsCpw/NDPdZGwFCCHSdq10bAbm9JbgS3R8B0OgkERh5HwBBmynjehEfAx22I2RtOR8C3JkgMundGwGzsa/dec0bAjoxDC5reRcCaE+Vfb1JGwMdONH/UQ0bAAeRO1IADR8DD6MFuHjhGwKpGLHHOQEbA4/NA2LtgR8Ay3a+JELBHwHU2t3MYrUfA8/hBGeDDSMCjAoJ2wrBIwDd3f73tUkjAN0qDOsmFSMBn9nar+4RIwPAzdAbP9UfAkBbNjqiFR8BMp1jslIJIwJl3MzT0GknAcrcq7v/GSMDAXeFdEapJwLHExCM/1knA0BA7PbI+ScBK6TD3v49JwMYx68wmrEnAPnWVhT1gSsDItp0mFO5KwEtQlLeZEUvATQdUTiq9SsAvIXR04r9KwDMM/pPqr0rAzwZnD/HvSsArNWauefJKwHb6Kv7LuErAN6Kq42pZSsAbmbfFoIpKwGSHrSgMgEnADivSP3bTScBI/KUcNo9JwKDvtKN2I0nAzjBCwJs1ScBL1cxhfBRJwPC4EvlJxEjAk//oXPcYScBzHZFgQWdJwADEkglWdUnA/92ifmRaScBaEdQRqodJwCKUOQrqsUjAogpZ7tKHScAKVLQp1d1IwHwViv0UjEjA225oz9MFSMBEkOhSMAlIwCa3WP3bsEfAERqvaKEwSMCfdNskkmBIwNeWcHzRR0jAsTQJ+N3ER8A3nV3YiCFIwCFUToJfXEfAfa6pt2QrR8DIT7Oyzk5HwPklNQgRXEfA4NZg89Q/R8BYeJq1ATtHwMWV0xgVL0fAOGXb389YR8Cn7fU3kzxIwHjJLO4OSUjAiPn0KhsaSMDRu65/5/NHwC9Ly7/qdEjAgUA99om8SMBIS9bdoptJwJE7ooJ9I0nAyaNcWROTSMDN8zj8wJhIwIybKp3SDknA5OrTx6nGScCfJzED7RtJwPdtAFlpskfApFzpjDsGR8C83ipe/DFHwCx0jf848UfAdmR5g8IGSMDCCNXFy4xIwK7OJm4t7EjAJidCSvkHScDO0mWJ9BJKwD168cnqH0nAhmh9i/fsSMD0Yi3XeA5JwAqGJUMJMkjAo9WdB4jNSMBZ9Q2EQNRIwLsQdA6h7EjAdNt7wuM3SMD8q0qO8LZIwK3CcAL/h0jAICyzr/kEScCb7mEfirJJwHwxPHf23EnAPreAD9WaScB5XZcEpcNJwOLcRARwk0rAc+OKEXX+SsAFOJigBSxLwKrmZg2jg0vAzeo7tPg3S8Cqu2Ep3CtLwAmTDRkBGkvAJ9EU+ww7S8DiZv5ri1lLwHcx+YEKSEvAvYVG1JBlS8DwffOjUdFLwK553IrFukvAlDmZRGSYS8Cnn4JIuW5MwItMu+1ewEvAwokNCFdXS8B/r1uIdJ5KwE1GxVedN0vAXfB2AWZ9S8ArUnXNxMVLwLrx2i8HQ0zAZc3GRVeFTMA5a7wtJ+hLwIiTRyDuNEzA/fxeUmhmTMAb2AhX+NpMwBwSDwE7qkzA6CwCAv/3S8CeBN4y8iFLwEafun/YTkvAsDqtQXERTMCj0fUzAodLwPRVrTTcyUzAtA+4CoX7TMBsWPVR5W5NwMRCUqzrOk3Au/0HmbgqTsBwsWUiExZOwPtw8YE/hE7AJ6q3AaFQTsC9Jkia03hPwG6AkmqSIVDA4GjgiWfgT8DgGV0HtHVPwLKsXRmEGlDAeJZeaGfNT8Awf7YORoBPwAWP2qvLck7AUrh1Iq5iTsAbor+ufK5OwE0MRSAqwk/ANy7CzGhyT8DTw7LsoaJOwO+z1MV7607AxzOo7ekdT8Ayh2YegttOwHMTmgFWd0/AAYwKWRjIT8DnTDh48FxPwA4kNj0WyE/AyNznKQg8T8CZFak+KCNPwDTt2FUO8E7A8KtoSiLhTsDK0UPiSCxPwMbFTvFMnk/AAuSG6qA7UMDO7iysSttPwKldeUNMCFDAWumOs2c/UMCGzNMtuQhQwFsx5nEqjk/AROJWTbExT8D/D/nHoFRPwIHv1BZKlE/AnlJGK1ZaT8AJX26N88xPwFloFbL2o0/Akn4erJfOT8CUI3tVwdNPwH2qJkuiIVDAMdaiHwkcUMDBcqHLRg1QwCrkRACCkk/AGPE54YfvT8BMnLr9oi9QwOYJxxM0ZVDAJIWVPr9bUMDhGqiMi41QwGbLASqr6lDA8MSZ4HDoUMAo8dMn/wxRwKRJTKfvD1HAmpIz/wUeUcAGFuV2iQ1RwHjR3ndDRVHAe4fkSgSAUcD5jKw8PUhRwM+4k05kb1HAgBlwWlVTUcDzmV5R2KdRwAJRQZhL9VHATz8xANgIUsBlCSxWxDhSwKUXOynw5lHANdhG36epUcB21Mq6J8hRwFVfylRfDlLA9wss7h2pUcABfYlAV9NRwB1yQqXVJlLAJjmK0GtzUsC7XqWjfHVSwFCEl2t3ilLAnJQbZuSyUsB1dB3gHFJTwBAKj0jATlPAlxsc0dyKU8CkyZwNAWtTwHRexc+UKlPAwe8K60IXU8BziFjVWm1TwFzcxhHeO1PAoX+/++0yU8BEHXCoUBNTwMXJM76OWFPAlh0mq01kU8BdfaPnaFhTwBj7m8zXf1PAlPb/GQKUU8CgmNbQFnhTwKx+PZqqwFPAoBlGpeMcVMD8IsmXRN5TwER5UiJt3FPAqHUoR4a1U8A6RK6KYNdTwJ6OqoTe11PAE7v3nUgyVMCTmZXfKytUwANBWuOjPVTAsv9zmhtaVMCoDxrrYWFUwM+IRBWKXFTANNoTda6KVMA6/VPKrFtUwFoBPwWNvlTAUBjArZB2VMD78YjLLARUwLS0E459H1TA40bUUe3NU8AJUSt0zMlTwGc24WHbJVTA0AcjHrXUU8CvbZDfY6RTwBUvUoTtzlPA8UDMozQhVMDkDQFkTVVUwPhhRX28/1PAod1gxBb0U8BXCazy395TwIX42CRrgFPAhtQRwgO1U8CYBX0CZZRTwCdE+1tBslPAS59qO/sHVMDda+LS+RlUwJzo6UovIlTAZ+cZkqhbVMBCjHIRKEZUwDNITsfHbVTAk7PrvgkuVMBJ7ymqSH9UwG0xJimAS1TA5MAT5vV1VMDsYqHtUw5VwAIqp1eZSFXA0FSLzl7KVcBdmpKFeCpVwJQLplPt1VTA3lSby3WrVMBTRHm10V9UwAISg/pErVTAfa3Zy8i9VMC4HQ6ym2JUwCSjm20xdlTAeqKCyPRsVMDWqkNhwHFUwEzvQNaiX1TAVZLH2f2SVMAHuiwzpkJUwERIYQwcFlTAgOD7J0jBVMC3yC0T69hUwDc4kimvs1TAtXXPeYXjVMAFG7zRWJxUwDF1+1EyRlTAviiaCu8YVMBcF5VNcsZTwAXhjeyC5FPAiV/51AMlVMAqAFMeVRVUwMW51L+0DlTAxWw4fXr9U8Bzk7TDTSVUwDC041k0TFTA263/tnZIVMD3MerOXrVUwD6whPdaqFTA1e4uHsUbVMBpUudGYoRTwJFCz98NeFPAwi++Hjn7U8DzU58tD99TwDZCSKLaD1TAxkulHdVjVMA6iJqN2PBTwD1XYUG+fVPAuEILAuZwU8Dz+VcMSFtTwLu92Kf3+FLAe1X8qE0hU8AwlFCBcVxTwG0jrB95L1PAvnOv04QnU8CP4I5r8WBTwD7Vk67JT1PA9oJewJ1GU8CZNBoUG3NTwIHjfBFBVVPAVqh/kBoNU8BZbs+cgBZTwC4jQOfvYFPAkO9Fs4ZzU8AMcfFHTWFTwCUZB3x9ZlPAjbAQOfYgU8BiemvSV9RSwDY7vggsYlLAcUymP7mNUsBl1sYYe3hSwGnvk3yjkVLAb1MxoajMUsBTYuTLJdhSwD3FUS+9wFLAdLjaBUChUsAtloulwq1SwN2+OPVJk1LAQN1B+I67UsAafzFlUgZTwFp22GGV8VLAWgpyZAXxUsAzqFNQ+gtTwLi9iYP731LAjiWE4tgGU8D1y2m2NqJSwA6xxGhB3FLAJ6rfhFrkUsCKlZOj3DdTwA59BOmzvlPAIHR0AH8dVMAdGdZwIKhTwCfqzIhdzlPA8bmSGUHqU8DyLG/iReNTwKpojXKVVFTANPP0Zb94VMCQKVuDxVxUwHGEd4pcnFTAUOEyk88KVcBhdf3uih1VwB7ZMZVfp1TAX2yjQGllVMDi5sWXCrpUwPM9XJIs11TAb2Mg8R0GVcDLl+NQ8whVwFMfoB0aPVXABs/pbktDVcBu29R2gSZVwJIt9zGMblXA8VDuBgdrVcDnQ36Un1hVwMVY0aiekVXApeD55ylHVcAJ8SugSqNUwE9Ow2mqy1TAMwh8yD4gVcDFsZQHBmVVwDUQGl+kZVXANCqltBKDVcDDHWvqU0VVwCrRHqoBAFXAmOTUWwvTVMBaIvBS0/1UwP5wIFw8ilTARZKouGF7VMAV7ZOr+1hUwLCd1uAXJFTA9CGv6pfZU8ATa4VHc5lTwFmN41ilRVPAwQSpvSppU8DDbtkz4GxTwE0YCfspKFPA9hgWuepJU8A=”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”C”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”D”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”__x__values”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”C”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”D”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”__x__values”:{”ndarray”:”AACA9VmNa0IAAADB/o1rQgAAgIyjjmtCAAAAWEiPa0IAAIAj7Y9rQgAAAO+RkGtCAACAujaRa0IAAACG25FrQgAAgFGAkmtCAAAAHSWTa0IAAIDoyZNrQgAAALRulGtCAACAfxOVa0IAAABLuJVrQgAAgBZdlmtCAAAA4gGXa0IAAICtppdrQgAAAHlLmGtCAACARPCYa0IAAAAQlZlrQgAAgNs5mmtCAAAAp96aa0IAAIByg5trQgAAAD4onGtCAACACc2ca0IAAADVcZ1rQgAAgKAWnmtCAAAAbLuea0IAAIA3YJ9rQgAAAAMFoGtCAACAzqmga0IAAACaTqFrQgAAgGXzoWtCAAAAMZiia0IAAID8PKNrQgAAAMjho2tCAACAk4aka0IAAABfK6VrQgAAgCrQpWtCAAAA9nSma0IAAIDBGadrQgAAAI2+p2tCAACAWGOoa0IAAAAkCKlrQgAAgO+sqWtCAAAAu1Gqa0IAAICG9qprQgAAAFKbq2tCAACAHUCsa0IAAADp5KxrQgAAgLSJrWtCAAAAgC6ua0IAAIBL065rQgAAABd4r2tCAACA4hywa0IAAACuwbBrQgAAgHlmsWtCAAAARQuya0IAAIAQsLJrQgAAANxUs2tCAACAp/mza0IAAABznrRrQgAAgD5DtWtCAAAACui1a0IAAIDVjLZrQgAAAKExt2tCAACAbNa3a0IAAAA4e7hrQgAAgAMguWtCAAAAz8S5a0IAAICaabprQgAAAGYOu2tCAACAMbO7a0IAAAD9V7xrQgAAgMj8vGtCAAAAlKG9a0IAAIBfRr5rQgAAACvrvmtCAACA9o+/a0IAAADCNMBrQgAAgI3ZwGtCAAAAWX7Ba0IAAIAkI8JrQgAAAPDHwmtCAACAu2zDa0IAAACHEcRrQgAAgFK2xGtCAAAAHlvFa0IAAIDp/8VrQgAAALWkxmtCAACAgEnHa0IAAABM7sdrQgAAgBeTyGtCAAAA4zfJa0IAAICu3MlrQgAAAHqBymtCAACARSbLa0IAAAARy8trQgAAgNxvzGtCAAAAqBTNa0IAAIBzuc1rQgAAAD9ezmtCAACACgPPa0IAAADWp89rQgAAgKFM0GtCAAAAbfHQa0IAAIA4ltFrQgAAAAQ70mtCAACAz9/Sa0IAAACbhNNrQgAAgGYp1GtCAAAAMs7Ua0IAAID9ctVrQgAAAMkX1mtCAACAlLzWa0IAAABgYddrQgAAgCsG2GtCAAAA96rYa0IAAIDCT9lrQgAAAI702WtCAACAWZnaa0IAAAAlPttrQgAAgPDi22tCAAAAvIfca0IAAICHLN1rQgAAAFPR3WtCAACAHnbea0IAAADqGt9rQgAAgLW/32tCAAAAgWTga0IAAIBMCeFrQgAAABiu4WtCAACA41Lia0IAAACv9+JrQgAAgHqc42tCAAAARkHka0IAAIAR5uRrQgAAAN2K5WtCAACAqC/ma0IAAAB01OZrQgAAgD9552tCAAAACx7oa0IAAIDWwuhrQgAAAKJn6WtCAACAbQzqa0IAAAA5seprQgAAgARW62tCAAAA0Prra0IAAICbn+xrQgAAAGdE7WtCAACAMunta0IAAAD+je5rQgAAgMky72tCAAAAldfva0IAAIBgfPBrQgAAACwh8WtCAACA98Xxa0IAAADDavJrQgAAgI4P82tCAAAAWrTza0IAAIAlWfRrQgAAAPH99GtCAACAvKL1a0IAAACIR/ZrQgAAgFPs9mtCAAAAH5H3a0IAAIDqNfhrQgAAALba+GtCAACAgX/5a0IAAABNJPprQgAAgBjJ+mtCAAAA5G37a0IAAICvEvxrQgAAAHu3/GtCAACARlz9a0IAAAASAf5rQgAAgN2l/mtCAAAAqUr/a0IAAIB07/9rQgAAAECUAGxCAACACzkBbEIAAADX3QFsQgAAgKKCAmxCAAAAbicDbEIAAIA5zANsQgAAAAVxBGxCAACA0BUFbEIAAACcugVsQgAAgGdfBmxCAAAAMwQHbEIAAID+qAdsQgAAAMpNCGxCAACAlfIIbEIAAABhlwlsQgAAgCw8CmxCAAAA+OAKbEIAAIDDhQtsQgAAAI8qDGxCAACAWs8MbEIAAAAmdA1sQgAAgPEYDmxCAAAAvb0ObEIAAICIYg9sQgAAAFQHEGxCAACAH6wQbEIAAADrUBFsQgAAgLb1EWxCAAAAgpoSbEIAAIBNPxNsQgAAABnkE2xCAACA5IgUbEIAAACwLRVsQgAAgHvSFWxCAAAAR3cWbEIAAIASHBdsQgAAAN7AF2xCAACAqWUYbEIAAAB1ChlsQgAAgECvGWxCAAAADFQabEIAAIDX+BpsQgAAAKOdG2xCAACAbkIcbEIAAAA65xxsQgAAgAWMHWxCAAAA0TAebEIAAICc1R5sQgAAAGh6H2xCAACAMx8gbEIAAAD/wyBsQgAAgMpoIWxCAAAAlg0ibEIAAIBhsiJsQgAAAC1XI2xCAACA+PsjbEIAAADEoCRsQgAAgI9FJWxCAAAAW+olbEIAAIAmjyZsQgAAAPIzJ2xCAACAvdgnbEIAAACJfShsQgAAgFQiKWxCAAAAIMcpbEIAAIDraypsQgAAALcQK2xCAACAgrUrbEIAAABOWixsQgAAgBn/LGxCAAAA5aMtbEIAAICwSC5sQgAAAHztLmxCAACAR5IvbEIAAAATNzBsQgAAgN7bMGxCAAAAqoAxbEIAAIB1JTJsQgAAAEHKMmxCAACADG8zbEIAAADYEzRsQgAAgKO4NGxCAAAAb101bEIAAIA6AjZsQgAAAAanNmxCAACA0Us3bEIAAACd8DdsQgAAgGiVOGxCAAAANDo5bEIAAID/3jlsQgAAAMuDOmxCAACAlig7bEIAAABizTtsQgAAgC1yPGxCAAAA+RY9bEIAAIDEuz1sQgAAAJBgPmxCAACAWwU/bEIAAAAnqj9sQgAAgPJOQGxCAAAAvvNAbEIAAICJmEFsQgAAAFU9QmxCAACAIOJCbEIAAADshkNsQgAAgLcrRGxCAAAAg9BEbEIAAIBOdUVsQgAAABoaRmxCAACA5b5GbEIAAACxY0dsQgAAgHwISGxCAAAASK1IbEIAAIATUklsQgAAAN/2SWxCAACAqptKbEIAAAB2QEtsQgAAgEHlS2xCAAAADYpMbEIAAIDYLk1sQgAAAKTTTWxCAACAb3hObEIAAAA7HU9sQgAAgAbCT2xCAAAA0mZQbEIAAICdC1FsQgAAAGmwUWxCAACANFVSbEIAAAAA+lJsQgAAgMueU2xCAAAAl0NUbEIAAIBi6FRsQgAAAC6NVWxCAACA+TFWbEIAAADF1lZsQgAAgJB7V2xCAAAAXCBYbEIAAIAnxVhsQgAAAPNpWWxCAACAvg5abEIAAACKs1psQgAAgFVYW2xCAAAAIf1bbEIAAIDsoVxsQgAAALhGXWxCAACAg+tdbEIAAABPkF5sQgAAgBo1X2xCAAAA5tlfbEIAAICxfmBsQgAAAH0jYWxCAACASMhhbEIAAAAUbWJsQgAAgN8RY2xCAAAAq7ZjbEIAAIB2W2RsQgAAAEIAZWxCAACADaVlbEIAAADZSWZsQgAAgKTuZmxCAAAAcJNnbEIAAIA7OGhsQgAAAAfdaGxCAACA0oFpbEIAAACeJmpsQgAAgGnLamxCAAAANXBrbEIAAIAAFWxsQgAAAMy5bGxCAACAl15tbEIAAABjA25sQgAAgC6obmxCAAAA+kxvbEIAAIDF8W9sQgAAAJGWcGxCAACAXDtxbEIAAAAo4HFsQgAAgPOEcmxCAAAAvylzbEIAAICKznNsQgAAAFZzdGxCAACAIRh1bEIAAADtvHVsQgAAgLhhdmxCAAAAhAZ3bEIAAIBPq3dsQgAAABtQeGxCAACA5vR4bEIAAACymXlsQgAAgH0+emxCAAAASeN6bEIAAIAUiHtsQgAAAOAsfGxCAACAq9F8bEIAAAB3dn1sQgAAgEIbfmxCAAAADsB+bEIAAIDZZH9sQgAAAKUJgGxCAACAcK6AbEIAAAA8U4FsQgAAgAf4gWxCAAAA05yCbEIAAICeQYNsQgAAAGrmg2xCAACANYuEbEIAAAABMIVsQgAAgMzUhWxCAAAAmHmGbEIAAIBjHodsQgAAAC/Dh2xCAACA+meIbEIAAADGDIlsQgAAgJGxiWxCAAAAXVaKbEIAAIAo+4psQgAAAPSfi2xCAACAv0SMbEIAAACL6YxsQgAAgFaOjWxCAAAAIjOObEIAAIDt145sQgAAALl8j2xCAACAhCGQbEIAAABQxpBsQgAAgBtrkWxCAAAA5w+SbEIAAICytJJsQgAAAH5Zk2xCAACASf6TbEIAAAAVo5RsQgAAgOBHlWxCAAAArOyVbEIAAIB3kZZsQgAAAEM2l2xCAACADtuXbEIAAADaf5hsQgAAgKUkmWxCAAAAccmZbEIAAIA8bppsQgAAAAgTm2xCAACA07ebbEIAAACfXJxsQgAAgGoBnWxCAAAANqadbEIAAIABS55sQgAAAM3vnmxCAACAmJSfbEIAAABkOaBsQgAAgC/eoGxCAAAA+4KhbEIAAIDGJ6JsQgAAAJLMomxCAACAXXGjbEIAAAApFqRsQgAAgPS6pGxCAAAAwF+lbEIAAICLBKZsQgAAAFeppmxCAACAIk6nbEIAAADu8qdsQgAAgLmXqGxCAAAAhTypbEIAAIBQ4alsQgAAAByGqmxCAACA5yqrbEIAAACzz6tsQgAAgH50rGxCAAAAShmtbEIAAIAVvq1sQgAAAOFirmxCAACArAevbEIAAAB4rK9sQgAAgENRsGxCAAAAD/awbEIAAIDamrFsQgAAAKY/smxCAACAceSybEIAAAA9ibNsQgAAgAgutGxCAAAA1NK0bEIAAICfd7VsQgAAAGsctmxCAACANsG2bEIAAAACZrdsQgAAgM0KuGxCAAAAma+4bEIAAIBkVLlsQgAAADD5uWxCAACA+526bEIAAADHQrtsQgAAgJLnu2xCAAAAXoy8bEIAAIApMb1sQgAAAPXVvWxCAACAwHq+bEIAAACMH79sQgAAgFfEv2xCAAAAI2nAbEIAAIDuDcFsQgAAALqywWxCAACAhVfCbEIAAABR/MJsQgAAgByhw2xCAAAA6EXEbEIAAICz6sRsQgAAAH+PxWxCAACASjTGbEIAAAAW2cZsQgAAgOF9x2xCAAAArSLIbEIAAIB4x8hsQgAAAERsyWxCAACADxHKbEIAAADbtcpsQgAAgKZay2xCAAAAcv/LbEIAAIA9pMxsQgAAAAlJzWxCAACA1O3NbEIAAACgks5sQgAAgGs3z2xCAAAAN9zPbEIAAIACgdBsQgAAAM4l0WxCAACAmcrRbEIAAABlb9JsQgAAgDAU02xCAAAA/LjTbEIAAIDHXdRsQgAAAJMC1WxCAACAXqfVbEIAAAAqTNZsQgAAgPXw1mxCAAAAwZXXbEIAAICMOthsQgAAAFjf2GxCAACAI4TZbEIAAADvKNpsQgAAgLrN2mxCAAAAhnLbbEIAAIBRF9xsQgAAAB283GxCAACA6GDdbEIAAAC0Bd5sQgAAgH+q3mxCAAAAS0/fbEIAAIAW9N9sQgAAAOKY4GxCAACArT3hbEIAAAB54uFsQgAAgESH4mxCAAAAECzjbEIAAIDb0ONsQgAAAKd15GxCAACAchrlbEIAAAA+v+VsQgAAgAlk5mxCAAAA1QjnbEIAAICgredsQgAAAGxS6GxCAACAN/fobEIAAAADnOlsQgAAgM5A6mxCAAAAmuXqbEIAAIBliutsQgAAADEv7GxCAACA/NPsbEIAAADIeO1sQgAAgJMd7mxCAAAAX8LubEIAAIAqZ+9sQgAAAPYL8GxCAACAwbDwbEIAAACNVfFsQgAAgFj68WxCAAAAJJ/ybEIAAIDvQ/NsQgAAALvo82xCAACAho30bEIAAABSMvVsQgAAgB3X9WxCAAAA6Xv2bEIAAIC0IPdsQgAAAIDF92xCAACAS2r4bEIAAAAXD/lsQgAAgOKz+WxCAAAArlj6bEIAAIB5/fpsQgAAAEWi+2xCAACAEEf8bEIAAADc6/xsQgAAgKeQ/WxCAAAAczX+bEIAAIA+2v5sQgAAAAp//2xCAACA1SMAbUIAAAChyABtQgAAgGxtAW1CAAAAOBICbUIAAIADtwJtQgAAAM9bA21CAACAmgAEbUIAAABmpQRtQgAAgDFKBW1CAAAA/e4FbUIAAIDIkwZtQgAAAJQ4B21CAACAX90HbUIAAAArgghtQgAAgPYmCW1CAAAAwssJbUIAAICNcAptQgAAAFkVC21CAACAJLoLbUIAAADwXgxtQgAAgLsDDW1CAAAAh6gNbUIAAIBSTQ5tQgAAAB7yDm1CAACA6ZYPbUIAAAC1OxBtQgAAgIDgEG1CAAAATIURbUIAAIAXKhJtQgAAAOPOEm1CAACArnMTbUIAAAB6GBRtQgAAgEW9FG1CAAAAEWIVbUIAAIDcBhZtQgAAAKirFm1CAACAc1AXbUIAAAA/9RdtQgAAgAqaGG1CAAAA1j4ZbUIAAICh4xltQgAAAG2IGm1CAACAOC0bbUIAAAAE0httQgAAgM92HG1CAAAAmxsdbUIAAIBmwB1tQgAAADJlHm1CAACA/QkfbUIAAADJrh9tQgAAgJRTIG1CAAAAYPggbUIAAIArnSFtQgAAAPdBIm1CAACAwuYibUIAAACOiyNtQgAAgFkwJG1CAAAAJdUkbUIAAIDweSVtQgAAALweJm1CAACAh8MmbUIAAABTaCdtQgAAgB4NKG1CAAAA6rEobUIAAIC1ViltQgAAAIH7KW1CAACATKAqbUIAAAAYRSttQgAAgOPpK21CAAAAr44sbUIAAIB6My1tQgAAAEbYLW1CAACAEX0ubUIAAADdIS9tQgAAgKjGL21CAAAAdGswbUIAAIA/EDFtQgAAAAu1MW1CAACA1lkybUIAAACi/jJtQgAAgG2jM21CAAAAOUg0bUIAAIAE7TRtQgAAANCRNW1CAACAmzY2bUIAAABn2zZtQgAAgDKAN21CAAAA/iQ4bUIAAIDJyThtQgAAAJVuOW1CAACAYBM6bUIAAAAsuDptQgAAgPdcO21CAAAAwwE8bUIAAICOpjxtQgAAAFpLPW1CAACAJfA9bUIAAADxlD5tQgAAgLw5P21CAAAAiN4/bUIAAIBTg0BtQgAAAB8oQW1CAACA6sxBbUIAAAC2cUJtQgAAgIEWQ21CAAAATbtDbUIAAIAYYERtQgAAAOQERW1CAACAr6lFbUIAAAB7TkZtQgAAgEbzRm1CAAAAEphHbUIAAIDdPEhtQgAAAKnhSG1CAACAdIZJbUIAAABAK0ptQgAAgAvQSm1CAAAA13RLbUIAAICiGUxtQgAAAG6+TG1CAACAOWNNbUIAAAAFCE5tQgAAgNCsTm1CAAAAnFFPbUIAAIBn9k9tQgAAADObUG1CAACA/j9RbUIAAADK5FFtQgAAgJWJUm1CAAAAYS5TbUIAAIAs01NtQgAAAPh3VG1CAACAwxxVbUIAAACPwVVtQgAAgFpmVm1CAAAAJgtXbUIAAIDxr1dtQgAAAL1UWG1CAACAiPlYbUIAAABUnlltQgAAgB9DWm1CAAAA6+dabUIAAIC2jFttQgAAAIIxXG1CAACATdZcbUIAAAAZe11tQgAAgOQfXm1CAAAAsMRebUIAAIB7aV9tQgAAAEcOYG1CAACAErNgbUIAAADeV2FtQgAAgKn8YW1CAAAAdaFibUIAAIBARmNtQgAAAAzrY21CAACA149kbUIAAACjNGVtQgAAgG7ZZW1CAAAAOn5mbUIAAIAFI2dtQgAAANHHZ21CAACAnGxobUIAAABoEWltQgAAgDO2aW1CAAAA/1pqbUIAAIDK/2ptQgAAAJaka21CAACAYUlsbUIAAAAt7mxtQgAAgPiSbW1CAAAAxDdubUIAAICP3G5tQgAAAFuBb21CAACAJiZwbUIAAADyynBtQgAAgL1vcW1CAAAAiRRybUIAAIBUuXJtQgAAACBec21CAACA6wJ0bUIAAAC3p3RtQgAAgIJMdW1CAAAATvF1bUIAAIAZlnZtQgAAAOU6d21CAACAsN93bUIAAAB8hHhtQgAAgEcpeW1CAAAAE855bUIAAIDecnptQgAAAKoXe21CAACAdbx7bUIAAABBYXxtQgAAgAwGfW1CAAAA2Kp9bUIAAICjT35tQgAAAG/0fm1CAACAOpl/bUIAAAAGPoBtQgAAgNHigG1CAAAAnYeBbUIAAIBoLIJtQgAAADTRgm1CAACA/3WDbUIAAADLGoRtQgAAgJa/hG1CAAAAYmSFbUIAAIAtCYZtQgAAAPmthm1CAACAxFKHbUIAAACQ94dtQgAAgFuciG1CAAAAJ0GJbUIAAIDy5YltQgAAAL6Kim1CAACAiS+LbUIAAABV1IttQgAAgCB5jG1CAAAA7B2NbUIAAIC3wo1tQgAAAINnjm1CAACATgyPbUIAAAAasY9tQgAAgOVVkG1CAAAAsfqQbUIAAIB8n5FtQgAAAEhEkm1CAACAE+mSbUIAAADfjZNtQgAAgKoylG1CAAAAdteUbUIAAIBBfJVtQgAAAA0hlm1CAACA2MWWbUIAAACkapdtQgAAgG8PmG1CAAAAO7SYbUIAAIAGWZltQgAAANL9mW1CAACAnaKabUIAAABpR5ttQgAAgDTsm21CAAAAAJGcbUIAAIDLNZ1tQgAAAJfanW1CAACAYn+ebUIAAAAuJJ9tQgAAgPnIn21CAAAAxW2gbUIAAICQEqFtQgAAAFy3oW1CAACAJ1yibUIAAADzAKNtQgAAgL6lo21CAAAAikqkbUIAAIBV76RtQgAAACGUpW1CAACA7DimbUIAAAC43aZtQgAAgIOCp21CAAAATyeobUIAAIAazKhtQgAAAOZwqW1CAACAsRWqbUIAAAB9uqptQgAAgEhfq21CAAAAFASsbUIAAIDfqKxtQgAAAKtNrW1CAACAdvKtbUIAAABCl65tQgAAgA08r21CAAAA2eCvbUIAAICkhbBtQgAAAHAqsW1CAACAO8+xbUIAAAAHdLJtQgAAgNIYs21CAAAAnr2zbUIAAIBpYrRtQgAAADUHtW1CAACAAKy1bUIAAADMULZtQgAAgJf1tm1CAAAAY5q3bUIAAIAuP7htQgAAAPrjuG1CAACAxYi5bUIAAACRLbptQgAAgFzSum1CAAAAKHe7bUIAAIDzG7xtQgAAAL/AvG1CAACAimW9bUIAAABWCr5tQgAAgCGvvm1CAAAA7VO/bUIAAIC4+L9tQgAAAISdwG1CAACAT0LBbUIAAAAb58FtQgAAgOaLwm1CAAAAsjDDbUIAAIB91cNtQgAAAEl6xG1CAACAFB/FbUIAAADgw8VtQgAAgKtoxm1CAAAAdw3HbUIAAIBCssdtQgAAAA5XyG1CAACA2fvIbUIAAACloMltQgAAgHBFym1CAAAAPOrKbUIAAIAHj8ttQgAAANMzzG1CAACAntjMbUIAAABqfc1tQgAAgDUizm1CAAAAAcfObUIAAIDMa89tQgAAAJgQ0G1CAACAY7XQbUIAAAAvWtFtQgAAgPr+0W1CAAAAxqPSbUIAAICRSNNtQgAAAF3t021CAACAKJLUbUIAAAD0NtVtQgAAgL/b1W1CAAAAi4DWbUIAAIBWJddtQgAAACLK121CAACA7W7YbUIAAAC5E9ltQgAAgIS42W1CAAAAUF3abUIAAIAbAtttQgAAAOem221CAACAskvcbUIAAAB+8NxtQgAAgEmV3W1CAAAAFTrebUIAAIDg3t5tQgAAAKyD321CAACAdyjgbUIAAABDzeBtQgAAgA5y4W1CAAAA2hbibUIAAIClu+JtQgAAAHFg421CAACAPAXkbUIAAAAIquRtQgAAgNNO5W1CAAAAn/PlbUIAAIBqmOZtQgAAADY9521CAACAAeLnbUIAAADNhuhtQgAAgJgr6W1CAAAAZNDpbUIAAIAvdeptQgAAAPsZ621CAACAxr7rbUIAAACSY+xtQgAAgF0I7W1CAAAAKa3tbUIAAID0Ue5tQgAAAMD27m1CAACAi5vvbUIAAABXQPBtQgAAgCLl8G1CAAAA7onxbUIAAIC5LvJtQgAAAIXT8m1CAACAUHjzbUIAAAAcHfRtQgAAgOfB9G1CAAAAs2b1bUIAAIB+C/ZtQgA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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”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”,”dtype”:”float64”,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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”D”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”uodoJUaI67/gsFd/IpEBwEretn//VQXASkMi5qVBEMAkif5+xpUbwAI/2ncNcB3AECi32+X9HsBMfItaodoewC4apus/ZCHAoe+i5PgMIcAwgRcimrwgwBDtUwks1iTAHlfXfC5xIsCADBKhdgIkwM1BNfPQmSPAYysDoT1EJMDAiHjDlZ8jwLmw4zTpPCLAmQUS68zyHcD6kSnHfLwbwMPlvkfCLBvAtPAk6FHvGcCQYdcwSVwZwHG0S/SarhfAZeQGUQ5ZFcASSamI9+wRwIizESfgehDAOPiASZH1F8Cnh6xoEswcwDOhq50A0h/AoI8HQG4iIcB79UrddE8fwDJTYqlpeiDAsNeSPAL6GsAnVw/ZrQ8fwGjMWuD6yCPAsPShPlHYIsDGBEfvZaMkwPQJfZxOYyXA2S5cOUorJcDBcgvz3UEkwLLTnafNwifAdlSdRceXKMAo2b+9cwonwF/i/YUrCyjAhZxwQdX/JsDNKE0klFYkwGI3qCnQrSDAuF5OsQvqIcAigej0N64lwPqoJAxk1CTA7x57JwMvJsCo6y8m/EclwG1nbzcWPCLA58vCrppII8DwOkhHxMQhwIm/H9COviPANwPvLYnSI8D6KU1Qx/8fwGS9euFogiLAgCNmHJOLGcA0jbXfIHUWwIBWiZee4x3AwCXDOBuoGcBJxCCfa4EcwNPZBEdQUhzALrQUxoGOFMAewJ1rgPgRwJyFSjkeLA7AU1mNLhQZDcCOd6YJk9sMwBZiDBCS1ADAtihIY3kiA8CFQ6O7M24AwG8936SZ/gfAq6/JxHh/D8DtQFG1yAEHwJ0gviltAgfABHBiY6cgD8BsExOvNH4TwJkk+sL4GxfAb+VMY2Y1FcDZdhFWnd4RwItpKAWIJQ/AZ3C6a08rEMDUeYfc0CMRwLF1hDOHQAXAeEzbShhZBsDL3TsRFLsFwBiAc+dcYRPAaTnDGTQhGsCuEPLvEFESwN9MMPzayhHA0qzRdJIgBcA/1jgM8tcMwADN0LSzUQPA2MVfm6rUB8AOsZzo3rcGwKTIHHrVUgfAaof0r0LS9r/O11FNC2nrv1oAoA9NHAvAaHRfjKd49b9QgRSIY2QBwANDV1eedf+/jP/pPPVYAMCmqVn7Bljvv0DTAUsVML8/wDIFN3B8mD9tRzBtzAn0v69r95s+3f2/2nnKX2gPCMCrarIafl4LwM+XA/ad2g/AMNot9aNuEcB8vGI4oq8DwPxcwFM/YQ7AGyvvToYQEMDnvxeQlU4UwIxBWEbEuhzA6pKShTCSI8Bj+yE6+5kkwE4K1b7zyyfAPAAQxwjeKMBjmZzVp/YowMQA+g/XNyrA0hng3Yr2LMA5rxLtvgcuwKdZwJFEwzDA0538fJ9WMMBaARZ85tQywEuSzuFpATTA6QVHh4wONcA7ZRoWv0s2wHZGyq+4GzfAXA0/20OoNcCDXrJtGlg1wBJGK0tGYTXAASpo7FDeMsBGM9Xezr4ywEtGiSeKgDPARDgrgFBzM8CTgmLO4osywGL/Ams1WjLACAov6pv9MsBk6StHyagxwDdK/5fs8zLAC3Hk5ltZM8AzFS/CGNQ0wB84qERF0jPAH3BA01yKNMByIAM11VQ1wPogFaggvzXAQjYeNsxZNcDMzpKZiqI1wACYXQOQSDXAcGE6HDk7NsDKHQpYNd02wKspomOyHjbAso9eEPa/NcAkyXznsu41wNR0ag3lCzfAM0A4TEN6N8A7tWVWoU04wBQ/wLzEYzrAaYB8/yceO8BjzzylK2A8wDnE8m53CTzA4xrli4E3O8Blcvje9107wCDWXT62wjvANCZ07HKcPMDRsUauScM8wKdE0/2ZtDvAkgXIOXRfO8BjieCIles5wCrUstTVnDnACLYMobySOcCDo4JqrrQ7wOlVENHaZTnAbktNstexN8Cvaf9nqRw3wPyx3zWYbTnA5/YSUHVIOcCqP6pGQXE5wAInGq3O6zjASaXbqkUaOcDOvwxkppM6wEEFQT1lBjvAcKhwvp/7OMBD3WKrdv44wELVDV70+TjAQJpfloCHOcCB2at9/Ek6wOkbLMl3hDvAtHgbJhrYO8C56MgeC2U8wKAKpX1nFzvAVu9CuQNVO8BIyEP5tx47wA5cPldjuDzABrxvGuc0PMDoRm2aVmU7wNlaa61VTDvAgSytYAJsO8Dt2nHgESc7wBAD5isc+znAE0bzYP9/OcD4TKJ2R+w6wABt+QIPizrALiE2vsNAO8DfNc3hvGw6wBHMWuuf2zvA04FqjA73PMDxo3Tiq188wA4uEPm9KT3AJ7AJbzrkPcDlsZXUOOU8wHIXHJVQXz7AKBhmBhshPsCIyigVK/Q9wNBFu7jgaj3AWU7ijGCRPMDi8t1g03k+wKtgGdXswz3A1bK8djjlPcAZoqTmqDc+wJ0yW95F9D7A8v1g85PMP8D444xGNUA/wAl8ztPNBj/AodM/SOtcP8BGmTNr0jA/wFYPipILbj7APxXReDzDP8BR2aWhTIg+wD0UiTdznj3Ay7h3xuHlPsD6tM0D1VM+wJceSAMlkT7A+liSFzGtPMCxhEDyO1A8wKoXWkXUBTvAG3hSc6LvOsBXRPzSH305wFK+FIIg2TfA8fvB7STuOcC7NG0YcrQ6wLsNpAoq9DnA5YQXFClGOsCZCMQHJk46wO8tnopztjnAI4ao1VEUOcAeJjkkdeE4wPPTXBM9LzjAnyB6irObOcBSJDiOK+05wKgvz0PTHznAlXK4H6H2O8ALdZQ3Vi88wAhfQZ5FazvAbwd3oYnVO8BO+CHc2XA7wDOiGqz4PjvATTr64B7MOsBdQyLIoIQ6wEMtNTmlJjvAPH9DNtMYOsBBsa+t6z06wBm5DF/UPzzAXkHNlZHyPMCXDKGN/is9wJCE+rQojz3AcSacpnBWPcB7PVv+c+09wDkRp9vVtD7ALt3fhJh2PsAATwSEPjs+wEvyqtUKwz/AbKRGRXHTQMBvXSStBOVAwE/62ac+cUHAhwAPBkCdQMBTvzlO5fQ/wK2Nxutgnj/AzV2pYPX6PcAN0zN0Nk5AwEeKyHQKL0DA7Ylto6WOQMDLd7JuwctAwDwmynVWjkDAQ3rYnbooQMB11CeO3INAwLFww4OK/0DA3JnhWz/YQMAxICtDbRlBwKIKnvVp60DArILUX37zQMAln8NjEipCwKAEXot58kLAL4hUfgV+Q8CpoKqXMM5DwB9z7iBTXkTA/LY/4FFMRcAFzSBi/IlFwG2PCtHaHUXAr1zLqU7bRMBnsy9MNtpEwLDt52OjmUTA32CqyhfGRMA/C0OF6FNEwGN7LGttGUXA6ocOKcogRcDffLWIhKxFwDO3qqcu9kTA4U0WVOQaRcBaMQJZt9tEwAuR+XDAZETAe6i3PfXuRMBm56FkrmpFwCUZ+8kzLEbAZfA5JzASRsCGPPClq8RFwPF/Cbxa30XAyap+MTHPRcD1lpO+/X1GwB8DjNGESkfAim8YNvyFR8APbezP51RHwFn7hH2IxEbAP5GXV0PSRsB0d9zEnU1GwOer1skLgUbA9b4xEIVnRsDH3+V/GidGwKL/A2WKDkbAYGXHYwsLRsCpkjVn0lJGwHp6X8rzKEfAr5NC225SR8B2Uy7A+7tHwA8LdXlyr0bAQ9TvVd6SRsB6yJaRi4FGwCALwwcpfEXAYEZopJtlRcANc6fGXZlFwNNYHq9yTkXA86N+CKOSRcAabO3wDQ5GwLwTfPHYhEXATTN+T3IYRcCDxs7/S6hEwDqMcXYM6EXAKjF3s5fhRsBJIJ+Jm2xHwJCshqKa/UfANLzq7Wc7SMBPY7gNSYNIwHPcjMwrpkjACcoMhZuJSMDEBfWbD+tIwKk9D2d7K0jAhV9hK4UFSMCQ8Y8eKbBIwAoWgjhxw0fABNV6p3ZXSMCgePpD4SVIwFjpxkA44EfAj+FKJGF/R8Db8Y3wy1pHwK2mJOfsJkjAiMV1dsEmSMDEIzEidmFIwLMbO/mf10fAx3Vx+r6ESMDhI0qfLlRIwH7aYQ4VXUjAO5P6rNbUSMDA/H+3zKhIwIu8D/lIH0jA+nsSx9CMR8Cg7W9ZV9NHwLeByy3JQ0jAlgiZWp1qSMCL2qIzoXFHwJwjJWXWJkfACIhpFGpER8DmX24aFcBHwHzBRj77kUfAGm5wuPG1RsAqLFF3/P5GwP8GrtIs/UbAYkMEQfxHR8D9fdOr9F5GwCfNCeL53EbAg1489UFERsBvZTs8es5GwGyVfUlw5EfA9zRv0yc/R8Akrj2QKMdGwF4XagWh50bAEf012wFTR8CHf91Vl5RHwGN+Gb/K/0jAZv9JwdUiSMBbistKXIFHwG3BEF3rSkfA1Rpqga/fRsBZE1H54ntHwMR78W9sa0fA+Hl5hImcRsCzRvDq5blGwAnG1BwaakbA99lii43iRsAQTn4IzgZHwN1QGRb/GkfADug+qHEWR8BJ4e5sf51HwCyY03zzD0fAHCmymrtZR8BYSobLkARHwHz93chgQkfAs8C6ZO/+RsBS7nrQC1xGwHxC7EwIFUfAI3aVNoAlR8B+7Yq9dSpHwNye/3TE/EbAxAY7vC5lRsDz+RoV4SJGwA35y5exuEfABzj4uTe2R8BoIrwcn3lHwLiVJbxEdUfA81QuMs41R8DgdyUqTFpHwEz+xQTHTUfA0S2X1duBR8ANNpwB5t1GwKm88HNJiEbA5C8AQlhoRsD6eNftXQJGwCRwPNji/0XAkeAT7PhlRcAX2q/2pkBFwAdnVDbFZ0XAdFUFPJB9RcAiShWxvFtFwLG3lbRBVUbAXq/Nb5pcRsDHI7ew4ChHwH7gb7qQXkfA91aKgnjFR8DCYGoEZjVIwPqOp4ruTEjAmN3GlA0uSMDAsvpniLRIwHeEQM40ZUjAqpqQBlTGSMD2tGKno7xIwCwns6SseEjAdCyS8VA7SMCkMWyMQihIwEuDStfPrkfA9SL04I0YSMDGi94QMfBIwLxE70UGM0nA0WDVpjcVScB8lHHG5N1IwCKWPVkILkjAV9wSOLpqSMBKjenTUhlIwGX5tsIyKUjAerZ7eZC4SMA8+U6T1jpJwDV8E9IFxEjA2nUeam8tScCoGIrpNhlJwFL3HK1LSUnAXBMueDkiScD+X6DoYWJJwL+Mgje4dEnAr/IoQg7lSMBGhx3vnUdIwPbMkvLvYUjAlqarM8/cR8AsKExrMaVHwMq+z5QWKUfA/OCJj2WhRsCdI3NvNiVHwFgerzhiQ0fAMmvlU26JRsC9P4UHbZRHwIwkdrCZhUfAvMDz2w0UR8BWpGMJrEJGwPWqXWN7EEXA3omHae/HRMDBGh2SezlDwJ+hVAuFc0PA6hoUFZ8WRMDb/rm5vChEwFeS5iEpR0TAOWTxC8NBQ8BQUZ5a259DwIUw2NffPUTALoaJaQQ8RMDmY7/5GPdDwA1SkUP/TkTADUM0mJsnRcCK9L9tgp5EwO/yYoZntkTA4M5h+SHZRMBAQ7RdpNZEwHqzDCmjUETAFTUSj9xqRMCT6piW2EVEwHzeJBPvDEXAcZ+1cy2IRMDyKMx5x3ZEwB/mtJQ4TUPA8fzGUo+oQ8BS1XNOb85CwJ9XutgEXkPAamWLoc0dQ8AzD1/e/QNDwKYKtPSc+ULAhXb2E1utQ8ARmxRBzvhDwLI6GzKiMETAyqYdhiOIRMDfokvsnXtEwD/uJNWOQUTArTw140DkQ8ATqUatl59DwA+fj33Jj0PAaOvh9BxmQ8Cw/rTQ2alDwDB6rRpTNELAH5ix6OA9Q8Bznk1BQcFCwFT935ulUUPA4ckdeAfRQ8C9QMktN75EwE98oTVY90TAX8liP5fxRcDzpvZHABRFwFTqRYCvX0XA/sZt4c6KRcAI8YLUG8xFwEm2FPU4YkXAsKXSez5aRcDImP6kISdFwA7G400HaEXAr7ENkE5mRcAw1Stgse9FwK9cq9sTdUXAkP6Zb/eVRcDijbVoCfxEwMpKzz3eZ0XA2zUuNZJpRcBMGnoyUDNFwAYGjKEi8UXAOYFKRbBPRsCAsdctZ7NGwNKdhDovHEfA05HIuH6/RsDkl4WFCGZGwDkYKvaqB0fArmWfEU+zRsAnPQhDFX5GwNJTH6uMCUbARk0MpRR/RsAp43p88x1GwNlXgQH5RUbAFOR/WXa7RcD6frW6vThGwE+qbsGdIEbArokvWtg8RsCpw/NDPdZGwFCCHSdq10bAbm9JbgS3R8B0OgkERh5HwBBmynjehEfAx22I2RtOR8C3JkgMundGwGzsa/dec0bAjoxDC5reRcCaE+Vfb1JGwMdONH/UQ0bAAeRO1IADR8DD6MFuHjhGwKpGLHHOQEbA4/NA2LtgR8Ay3a+JELBHwHU2t3MYrUfA8/hBGeDDSMCjAoJ2wrBIwDd3f73tUkjAN0qDOsmFSMBn9nar+4RIwPAzdAbP9UfAkBbNjqiFR8BMp1jslIJIwJl3MzT0GknAcrcq7v/GSMDAXeFdEapJwLHExCM/1knA0BA7PbI+ScBK6TD3v49JwMYx68wmrEnAPnWVhT1gSsDItp0mFO5KwEtQlLeZEUvATQdUTiq9SsAvIXR04r9KwDMM/pPqr0rAzwZnD/HvSsArNWauefJKwHb6Kv7LuErAN6Kq42pZSsAbmbfFoIpKwGSHrSgMgEnADivSP3bTScBI/KUcNo9JwKDvtKN2I0nAzjBCwJs1ScBL1cxhfBRJwPC4EvlJxEjAk//oXPcYScBzHZFgQWdJwADEkglWdUnA/92ifmRaScBaEdQRqodJwCKUOQrqsUjAogpZ7tKHScAKVLQp1d1IwHwViv0UjEjA225oz9MFSMBEkOhSMAlIwCa3WP3bsEfAERqvaKEwSMCfdNskkmBIwNeWcHzRR0jAsTQJ+N3ER8A3nV3YiCFIwCFUToJfXEfAfa6pt2QrR8DIT7Oyzk5HwPklNQgRXEfA4NZg89Q/R8BYeJq1ATtHwMWV0xgVL0fAOGXb389YR8Cn7fU3kzxIwHjJLO4OSUjAiPn0KhsaSMDRu65/5/NHwC9Ly7/qdEjAgUA99om8SMBIS9bdoptJwJE7ooJ9I0nAyaNcWROTSMDN8zj8wJhIwIybKp3SDknA5OrTx6nGScCfJzED7RtJwPdtAFlpskfApFzpjDsGR8C83ipe/DFHwCx0jf848UfAdmR5g8IGSMDCCNXFy4xIwK7OJm4t7EjAJidCSvkHScDO0mWJ9BJKwD168cnqH0nAhmh9i/fsSMD0Yi3XeA5JwAqGJUMJMkjAo9WdB4jNSMBZ9Q2EQNRIwLsQdA6h7EjAdNt7wuM3SMD8q0qO8LZIwK3CcAL/h0jAICyzr/kEScCb7mEfirJJwHwxPHf23EnAPreAD9WaScB5XZcEpcNJwOLcRARwk0rAc+OKEXX+SsAFOJigBSxLwKrmZg2jg0vAzeo7tPg3S8Cqu2Ep3CtLwAmTDRkBGkvAJ9EU+ww7S8DiZv5ri1lLwHcx+YEKSEvAvYVG1JBlS8DwffOjUdFLwK553IrFukvAlDmZRGSYS8Cnn4JIuW5MwItMu+1ewEvAwokNCFdXS8B/r1uIdJ5KwE1GxVedN0vAXfB2AWZ9S8ArUnXNxMVLwLrx2i8HQ0zAZc3GRVeFTMA5a7wtJ+hLwIiTRyDuNEzA/fxeUmhmTMAb2AhX+NpMwBwSDwE7qkzA6CwCAv/3S8CeBN4y8iFLwEafun/YTkvAsDqtQXERTMCj0fUzAodLwPRVrTTcyUzAtA+4CoX7TMBsWPVR5W5NwMRCUqzrOk3Au/0HmbgqTsBwsWUiExZOwPtw8YE/hE7AJ6q3AaFQTsC9Jkia03hPwG6AkmqSIVDA4GjgiWfgT8DgGV0HtHVPwLKsXRmEGlDAeJZeaGfNT8Awf7YORoBPwAWP2qvLck7AUrh1Iq5iTsAbor+ufK5OwE0MRSAqwk/ANy7CzGhyT8DTw7LsoaJOwO+z1MV7607AxzOo7ekdT8Ayh2YegttOwHMTmgFWd0/AAYwKWRjIT8DnTDh48FxPwA4kNj0WyE/AyNznKQg8T8CZFak+KCNPwDTt2FUO8E7A8KtoSiLhTsDK0UPiSCxPwMbFTvFMnk/AAuSG6qA7UMDO7iysSttPwKldeUNMCFDAWumOs2c/UMCGzNMtuQhQwFsx5nEqjk/AROJWTbExT8D/D/nHoFRPwIHv1BZKlE/AnlJGK1ZaT8AJX26N88xPwFloFbL2o0/Akn4erJfOT8CUI3tVwdNPwH2qJkuiIVDAMdaiHwkcUMDBcqHLRg1QwCrkRACCkk/AGPE54YfvT8BMnLr9oi9QwOYJxxM0ZVDAJIWVPr9bUMDhGqiMi41QwGbLASqr6lDA8MSZ4HDoUMAo8dMn/wxRwKRJTKfvD1HAmpIz/wUeUcAGFuV2iQ1RwHjR3ndDRVHAe4fkSgSAUcD5jKw8PUhRwM+4k05kb1HAgBlwWlVTUcDzmV5R2KdRwAJRQZhL9VHATz8xANgIUsBlCSxWxDhSwKUXOynw5lHANdhG36epUcB21Mq6J8hRwFVfylRfDlLA9wss7h2pUcABfYlAV9NRwB1yQqXVJlLAJjmK0GtzUsC7XqWjfHVSwFCEl2t3ilLAnJQbZuSyUsB1dB3gHFJTwBAKj0jATlPAlxsc0dyKU8CkyZwNAWtTwHRexc+UKlPAwe8K60IXU8BziFjVWm1TwFzcxhHeO1PAoX+/++0yU8BEHXCoUBNTwMXJM76OWFPAlh0mq01kU8BdfaPnaFhTwBj7m8zXf1PAlPb/GQKUU8CgmNbQFnhTwKx+PZqqwFPAoBlGpeMcVMD8IsmXRN5TwER5UiJt3FPAqHUoR4a1U8A6RK6KYNdTwJ6OqoTe11PAE7v3nUgyVMCTmZXfKytUwANBWuOjPVTAsv9zmhtaVMCoDxrrYWFUwM+IRBWKXFTANNoTda6KVMA6/VPKrFtUwFoBPwWNvlTAUBjArZB2VMD78YjLLARUwLS0E459H1TA40bUUe3NU8AJUSt0zMlTwGc24WHbJVTA0AcjHrXUU8CvbZDfY6RTwBUvUoTtzlPA8UDMozQhVMDkDQFkTVVUwPhhRX28/1PAod1gxBb0U8BXCazy395TwIX42CRrgFPAhtQRwgO1U8CYBX0CZZRTwCdE+1tBslPAS59qO/sHVMDda+LS+RlUwJzo6UovIlTAZ+cZkqhbVMBCjHIRKEZUwDNITsfHbVTAk7PrvgkuVMBJ7ymqSH9UwG0xJimAS1TA5MAT5vV1VMDsYqHtUw5VwAIqp1eZSFXA0FSLzl7KVcBdmpKFeCpVwJQLplPt1VTA3lSby3WrVMBTRHm10V9UwAISg/pErVTAfa3Zy8i9VMC4HQ6ym2JUwCSjm20xdlTAeqKCyPRsVMDWqkNhwHFUwEzvQNaiX1TAVZLH2f2SVMAHuiwzpkJUwERIYQwcFlTAgOD7J0jBVMC3yC0T69hUwDc4kimvs1TAtXXPeYXjVMAFG7zRWJxUwDF1+1EyRlTAviiaCu8YVMBcF5VNcsZTwAXhjeyC5FPAiV/51AMlVMAqAFMeVRVUwMW51L+0DlTAxWw4fXr9U8Bzk7TDTSVUwDC041k0TFTA263/tnZIVMD3MerOXrVUwD6whPdaqFTA1e4uHsUbVMBpUudGYoRTwJFCz98NeFPAwi++Hjn7U8DzU58tD99TwDZCSKLaD1TAxkulHdVjVMA6iJqN2PBTwD1XYUG+fVPAuEILAuZwU8Dz+VcMSFtTwLu92Kf3+FLAe1X8qE0hU8AwlFCBcVxTwG0jrB95L1PAvnOv04QnU8CP4I5r8WBTwD7Vk67JT1PA9oJewJ1GU8CZNBoUG3NTwIHjfBFBVVPAVqh/kBoNU8BZbs+cgBZTwC4jQOfvYFPAkO9Fs4ZzU8AMcfFHTWFTwCUZB3x9ZlPAjbAQOfYgU8BiemvSV9RSwDY7vggsYlLAcUymP7mNUsBl1sYYe3hSwGnvk3yjkVLAb1MxoajMUsBTYuTLJdhSwD3FUS+9wFLAdLjaBUChUsAtloulwq1SwN2+OPVJk1LAQN1B+I67UsAafzFlUgZTwFp22GGV8VLAWgpyZAXxUsAzqFNQ+gtTwLi9iYP731LAjiWE4tgGU8D1y2m2NqJSwA6xxGhB3FLAJ6rfhFrkUsCKlZOj3DdTwA59BOmzvlPAIHR0AH8dVMAdGdZwIKhTwCfqzIhdzlPA8bmSGUHqU8DyLG/iReNTwKpojXKVVFTANPP0Zb94VMCQKVuDxVxUwHGEd4pcnFT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DxvOBWGeRBAbh8TGRk2/j9ukwScLawEQGjymJl4rAhAzy+wIpUdDkBMEMSqJuoOQAUMh2Af7wpA5PoZAXA+DUDzKhfrKEURQNVTCxPo6xVAn3nXk5yXF0AS+eN2PbocQBMGz+CjyB5Ae8vUnOl/IUBrVtVpP5siQJz8bC5acyFAECcUaCcSH0DkcXjf5OMiQDuaahR4gCBA7W5UrOxTIUAgT6qf69shQL4MqnGF+SNA6W2+fSkmIkAoGtUbeVogQIZAlwjogCRAjDTRvAAIJkAyH/uA8+snQOkDKKGBpSZAVzH1oNItKEAGSFIh0fsmQCdP4dBu3iZAa2mo+y2MKEAZx2lPV/InQJ2Jp2boQSlAR/YDzDCyKUAWTJE+2TwnQOQGIeSqoyZAYwxupT0yJkCC8lRSB9wnQD8sRyJwbSlAGU5IJOxDK0Ce55TVZagrQIAhvudW+StAcYMHYSiYLkCfwtZU35swQC9V2h0fGTFA6tlkUQooLkAkQx/pf4ktQBbA0QhSUy1AcI8q53reLkDyHRU0M2ctQGi9pWoTUyxAPt40Dvp+JkBKB45u09QgQLSSFqIBnCNAG7KGA1GKI0CgPTWEJMskQBFj+lN3GilAUspc4bJ/J0DA6wuWYo4mQAP4uJcL4ylAYdqwPM2fJkDii8Wk7LIkQNrKJziZMyVAvSJb+3TNI0Cop1VCBuchQNkdLsd8YyJA/JjV3wL+IUBS13z00A0hQFF8jsG9NSJAejlzYN89IUCb3FqCP20iQMNshcnYWSJAJtXFhhaTIkBzVUO+qfchQONt2TSQ/SBAowecUAbkIEAR4GBFcM4iQOQ8VpiaNSRA+aUYtfcJJUBsBwz23t0iQC6GjrinWiJA6JE1OK7xIkBsOJ+NS2MkQKfc668BKCVAHlN3gJemJEDGS4CnfbMiQGsayoIyRCRAZC9pLXPTG0Dql3Zkd+kXQN0emdIwTxVABUVDJLe1E0BcVHwEv04NQIqAiD1LnBFAJJn7RMmODUDPbXAeYWMRQD7W8oLDdgNAxxRE5F17AUApnir33n3+Px7+0iAfRP4/REPRh1qEBUA2rtoneQ34PzV9S/ZQivk/hkszaLEp7j9MRqXKTqHpP16/JS7UX9E/U8CFuVmQBkB6v9q1E6gUQJu8UZUnFxRAgE6R4V5gDUCvOOYt9xUNQHJJ68+9+xNAVETRE9TZD0DeQe7S98sTQK+EDBG+shVAfX6DQOQiHEBAjxIlWEIXQPLNJWNDOBdAzrcOc4uiGUCz5xprUSQYQG7Aw0wkhxNAmCSueTnUGEBJPC3RsawZQPdj/zx32B5AEkyz+UtAIkCoz6zZb7oiQKWqqaYHsRxALErUS3bdHkBJqBMoykMZQAWIAUMkWhZAFDxLGYADEUD07ZpZtQYWQEpoEAYReBBA/BcxJTt7EkBcCwQUsrcTQASn+GrNMRhAftdYtM/eF0DEqOwlAWASQDl/0zSW/AJAqHjFPhzPAUA/cRMALl0CQP6U1qBr1AdAxxql2SNwB0D33+E7TacAQE5XotCNBvw/WyCUZD3qAUA9m3y1i8gHQJpudzd0sANAJvrMDNzfBkB9qUkjmSj0P7oKAM6XOuo/I5RsgIiXAEAPc13bl98RQDr6TBn1ZxNAeFOFRaAnEEDWPtT2DxEQQFYEcOKneBFAeq+a+Gr4CUBhsDOCSpQGQCgukL6Us/c/xAwmYxy2CEA81FdUOvQGQBO8HeGlwgdAdi2Rnt7KEUBQH1Tw5wcLQBaIY28wEg9Agk0B3sNsCUDRzpaDUqgGQHpO6Py7MwdAserYLbjTB0DUbkj2FjIIQDHhGyNfQRZAQYGJ6jFVGEDmiXLWopkbQDwDgNhUUhtA9CFT9bdDG0CCETdsz6MeQOklDFA+1x5AZXH6HmM0HECBeQ3mJZMaQC6khcqwuhlA8pDbNgNSFkCZ5qJ14kYWQInQ++KUwRFAOUh50f3REUCuqQxCwzcRQN5HWuU4PwhApag2ikZUE0CwsHefWWQTQC6JoEWu3BRAB9Xm9p63FUCKypVVVo0VQFg8PB9l1hNAuMGmiUiKF0BOjKUUiJ8aQDdpzxNsmRhAcH3tbgZJFEBDtuV3ak0WQAg0lo2wgRFADG43kDaVC0Dq/pnT2OgOQAZLEJu6ehFAJk40p5fAGUCQ6KXmhxodQKaIcRGruB9AwU39aHh8GUASH5iN+FQXQBVXYbrtyxJAOlwXnw/jGkB+YAeXi44cQM7he4B9XRpAlZ7qJ8FbIkAnGICM1ewjQL6AM4ZDFSRA+KEJWj9IJUAvMo3WSwIoQB1SWtke7ChAJqCymYeVKEBQRwtzRiQpQGhGO+qzPypAGEO32aaLKEB+ux6PUQMrQCiBGFUKfipAB54s9KqSK0B8nzzLV/4rQJIMCZXbbSxAjdpALFPrK0B+YFNRXuwqQCZxAOgEdyxAxv9eNp1XK0Ak/ezTk/AmQLEw+JPPsCdApyZeSwF7KUCZemrFSO4oQOQ2QIBgEydAQpjVn+t3JkBMdo6rnjckQLrmwGlVsiVAZE3XMRWVJEBEJds7j/MnQAm5igkl7SRASL3CL+8/JUBmDPVIJtsmQJogzAOieidAdJ0D1kWpJ0AMsSGvNfYpQFlWO4gj6ihA6xXW8Ss0KkCf0W/fd9gnQOh5rGDWqSdA4GR5/oufJ0CDTh3AiGMmQO0Zn86vKSVAmu4CkfIKJUC1COy28/UjQBwAOzNBfydA2KPSTAe4J0BnufjIkIQqQKrU8rlkHCpAuzJrR16dKEAlgEL0ER0pQIVreZ2E4ClAZKg5ZYcmLUDjx49XNVkvQB7boooKbC9AcYRsGK0jMED28+UtNikxQOBkuhRGxS9AXOPP9xl8MUBP24sQThowQBgWuw9YJCtAwu0DdViZLECOhMsMoo8pQGSyJsspjiZACItS94RTJUDSTFeWMlolQD+alSaf2iNAT/VHLhXbKEA7O7RGvsIqQNbSJ8SPXSpAZjMwqa1NK0Ds1pVs3h0sQFJ8U2f+NilAvTT3StrDKkDELsWQTkIsQHAWOGVqpC1ADiaTK3mTLEASF/ziUKkoQD2jhWNYsShA/JhFTZp5KUAvj3y3Kf8jQI0UOcIjfSNA4auIJtcAIECFLI1p2OsgQNYXkLKl3CJANQlQftAaIkC02GS6RKMlQF5MHeDZhyBABTikNQ05IECD55PQGC0hQApwIAjEFCNAeaPwTI7PJEBlHyxyjjkmQLA+arMjsCZAVj/fYgtoKUD2NZEx9IosQOfERIVxtSxAww6Lv98YK0B+XdtMD8EpQPVXMzILzCZAFjR5/u86KEA4FaYkflIoQFpduYnJXChADjCTmHxdJ0DJ+gMo+XUnQBR9KzkqdyZACKkvVvn4IkC1MI/jPQUkQFH505j9PiVAetphmdAJJEBZDS+fzKIkQCzdJzZLkCJAubqrkk62IUAKxQxj880bQCaM3cyeYxlAVk2b9X93GEDDE47dkqMYQEtpn4GzgxdA+3GuZwLpF0A95h7MKAwSQHBRfGRL2xJAIRZrkTLZC0AUYukUoIIDQCSH0Gn7VQpAqX2wftUx/j+tvMJoh+r8P/xAnTTLSfo//GGu0V3F1T/+c3lFPpzwP55F5HlHFwlA3j9rxH9QFEDGMJIjipMEQF8yFNoNugNAtsKxVk8Q/T8COc1XQhUNQFrUEYrpMQpAvFKVUYHdEkARu02ZFpoVQErERSt8ihRAVWJaMR9UGUBHnkp5UncZQKIfMOjU/BhAmY6PKLlOF0ClNQstQfEUQGx6JR+q5AhAhYFpsTnwAEBHKipzf1r6PzjuJ/PqV8O/6r2aKbYK6b/qymzaoJwEwOEkfYCOMQrAcZqwgumGCMDkFxI1Ci8QwMYX6SYTzA3AmNMggIbmFMDuU7ENuzwYwObFxNQQYBXAOn5VlSxZEcCGmKO6VPYJwDmZ8QsoewHA0CGaMK5WFMAyQ1tfdq8UwGKsLv5rQhjAdL/x+tenHMAXsMka41McwHGxNEg7qRvAsc4ouGbYHsDMYYF2DRQdwNWvkWn/JhTA8u6len9UGsDye3R1maoVwJe4SdyakBXANmUV2t4hEsBYG9w1hdUDwBQGTBCR1g7AnMWCFxwMBcAETAT9jwoFwCfLmd9iJgrAQIkwYWxCBsDW2ICKvB0DwL6+tS/syQLA3f6K229WAMCE5qAaie79v5Rc2a4AVAjAqRCYUEy2DMAnHzVs1LIUwP3/fY6T6RLATh/wsY5bFsBO5dBtf4ASwF0IVNw4mhPAsvKrt+mgGcBxs8u08FMbwGfXo2LwDBvAZ1jEdwTIF8BQFaHcpzQZwMCcE0/+EhPAm0K4t/P8DcAu1VK+Y/wBwFKPOhH3Zvq/8CFvHU2c5z807y5RXVz9PxiC0e9G5dQ/TqJlc9Fv3L/xOf7s/I3sPyf9eAGwa/A/6HcvHjew4L+ezrdCJGTbv/oSCxwj29M/Uhx44qIZ2r+YUJKR46Otv9jyPBKQZe2/KlGP0aN4AcB6LID/LbgJwFA2EHfkeAzAR7cJgw/KCsAftrLM6Zv9v+tMWBgMLwPAkwaRD25cDMBui7Mm8rYEwBbSjp7+fv6/MBKGleY4AsB/AsfswUoJwGf3EmJCtAXADoGXfk0cEcDfhjX3mT0XwFtElIdL2xfAFsLLMp5TF8DzC5nCPmEYwBwtf2V93xTAhrHxpGcfCsDRC3o4JMkAwAZr6fWRZQnA1yx8yaeXCsBR4vQDV3UNwC9wQzGOCf2/tDzzTmf4+r8T5rW2xfT4v5p5QcHumwnAWNKrlu1L/b9g1zbnNwGpP/tGmQBfVdw/pDMJT1hCtD95/6nnrsbwPxqvZmUNi/Y/5fcFm/qzAkBIZXpvadcHQHKXPIuU+gRAODWiVxmx2j80bn9G5PC1P9tXXLRHN9k/0OXLyebN9T86vtTrM9YAQNCbjGdQgwFATT9dY4X3AUCgz6edRh4KQFQbNklztQ9AafO747W4FUAdrm1hum8YQH7kN1XgF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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”C”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”D”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”__x__values”:{”ndarray”:”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0DP0ToUnUkmQNwFdY/oTyVAl6MDUiKsJ0AYrHKB8ZAnQHYBA4FekShAeBn+l08AKUAr341Su+smQOqmPbxHqSdAM1spW3t7KECszH4wXjoqQHQAhAGANyhAR9R9248TJkACIeBw/qgnQB/+d2l6kCpA2EgWFKUuLEASVOhMCtQpQPLXlfZJPypA5D9rLObeKUCap4IKjvMoQIwUrWX/CipAxPHMHeV8KUB+rjS9Ug4pQBftX44l3yZA1nwQSo8+KEBBlrXn1SArQJ6UCwiaay1A6J25AFeDLEDW0bLEvTktQF1P4Nftai9Akywu5WAYMEBybJXZUp4wQPmKS+azbjFAfw8qnNsRMkAtp6mu+nMwQEwJvcGkfzBAUgumee0uMEAmb5BBT6oxQBgf23U5YjJAYKiBgwuHMUC5wazd/QEyQKs6XC1XszJA6c96oyB4MkCzCfV5o24xQBlO3dom+i9AP2bGO5zwMEBDM9PpNXMxQD86d3IJdTBAw3YJi9cIMUDLJF4RZP0xQOAmA/tBZjJAdjbTU67JNEDTtLlhg8s1QAbEEmLMtjVACbammoVON0Aqtj4Dt0I2QKxhmMg/eDVAcjV3hhT9NUCHFjl+ypc3QDGhhiSEuTZA9KX0HR99NkCF6wjX0v00QL4lPza0uDNAxc4jWCG6MkAafBb2qMEzQO/4lDLuZjRAPgMYE7pgNEBdckQdLKg0QCYVexCCaTdAOcY9+WNSNUD9fC7fCjU1QDEPcnqBsTVAK0oRj00zNkCI2CAwCvA1QJbfhRJuXTdAUcNv3j8GOED69nyFRlg5QLciStC/LzlAR/iIGbYfOUCudxApIQw6QLXHRuKeojpALZjJha8qOkCUyN7NQFw5QFxzcxDYhjpAFjgxLgP3OUDAHLCB9H46QKO4OcLdXTtAZyJKBxDkOkD8vZK3o9A6QOLwz0RB9jpAUZh37qa3OUCv1d/3l2A4QOKWvnoAXzlADkm//+gAOkCIhzErJjs6QAlfU7VeqTlAnn0R1Rz5N0CDF+7LypQ3QClg4fXJOThABXRyXFt+OEADKaYyGVI5QNfyjIEjYjpASUmk5g0MPEAcbVxPln48QB2wnxM0NDtAVzFL5Qe9PEDpT2Mv1r08QJJPvwMtVD1AMBz07LITP0AVGet797A+QIRUuKkvez9A0C0xXRZJP0CuitvffPc+QOUQXLmhTz5AQxuDRUAEPkB7H02TFgI9QHWZ/fX5Yj5AyWdyCEwwPUAK/bOK5cA9QPA/z5Iz8j1AhFKv5M/UPUCxJ6Tl7oo+QBKB7GFzHj5AfXy4EQ7aPkC8/K5aFx4+QJ+D9f9WID5Axy3gIoYFPEDGRQwYs/Y7QB2TEzyiPT5ATZa8kGGHP0A+/hI2QiFAQFZpl2bzOEFAPVq/xdV4QUAL64ua0+JBQNPI8MJsckJAGhOySCieQkD8iN9Y9PhCQC1QSOvj0UJAhReE5hMxQ0BNYw8sci5DQOSAHh93fENAuj5mB8CBQ0C+rnAWkgJDQH9WWPb5fENA7Rq1dsuHQ0CWUH/Fn9VCQG+aYpBvR0NAMEEtRB7LQ0B4V+AxWf5DQNNFmpDqdENA14RBTs9vQ0DCCHEYAEZEQC2qF6NIlUNAwgOSLX/tQ0B7jzE0pQBEQGCR4AnnMkRAcP66ikdwREBBhDZpyyZEQOwHJIUDm0RA0Ow0e5T6REAPCUqj5TxFQAKTZWd6TkVASB9Ja2xxRUALMWriIddFQB8QFqMRdUVAYRCNJP8/RUB+jy+1ZJlEQAlOZbxhtURAOCJOk446RUA1OpxVDsVEQHQfBRE6DEVAcJBNxv6PRUCRL13xp2VFQEHNjO6DlkZAQzomSTQTRkDErA08xPxFQC7KHZECIkZAXsxJE3YGR0BQK6e2OX5IQDBs8H0Ny0hAt7WFeeFDSEB2tU0v9pBHQACNmwXog0dAvmZyYlQASEDLVpmbNWlIQAgd5dp2LUhA3PAnvqr4R0C0R1r//ZhIQC7Frn9zMUlAFdeh9XWGSEBq96xc5exHQHokQ1ysMEdAVTbSaJ3eRkDt98PX0a1HQPSEUxVcYEdA62+J89mgRkD+ibpqCatGQAB9j8VTkEZA/Ie3kGRvRkA7UwqdPg5GQH/6KUExp0VAH29fOejlREB8j22xfAJFQH+R36bhG0VAI+fUu8FYRUDHup/ui3lFQOwS4jbxN0VA1RgEIg2xREAbsG9t4IZEQOgI9tUEh0NA1CLkxXecQ0DNP8XokctCQBiijQWmxUJA9xKvNUytQkCOsaxjuG5CQN5uFnFn4kFAcHyVlZ4rQ0DWTsbujuBCQA3T3lRfTENASPsoyQqiQkDVJXNBNa9CQEYtxF7hzUJAisrFrdg1QkDKmK9q2chBQG2IhKuSrkFA4jUgzMFMQUDJE+KYzRtBQMrOioUkIEFA8xxcDmkJQUCPf1tdsqZAQB0yXWxmtEBAwR1gTBmtQEBTDmrIDGBAQJAc6nDGwEBAZwZ6D7vpQEAn5Fgi68NBQLB/0GNzc0FApurcaMRuQUDTMBca83JAQA7tRawiSUBAZ43qIlgZQECULR694QFAQMN7l6+9/EBAV4AtcRmXP0BIkkUO9+A+QKRSrqYAgD5AnMjAPRhfPkB7CxBkGRM/QILe2Q5Llz5AmLlNcCddPkBe/7ySYQA/QJJV1NiNgT9AsWmmyJfCPkDCapYgXuc9QBC8art6uT1AcfAp4j8KP0Bc42x+Afw9QOyvBy5wrD9AkDVCv+9OP0DgwADc/tA+QDOjum/NpD5ACpvbaCa4PkDCodeWfqw9QKellWuOtD1Afd+Mgnn6PUCTGDvvZKI9QH56/YJZ9zxA+oPNgNHdPkAjgKS2WQRAQNQnDlQtnEBAUyhMxq47QECqkqFBF3BAQGjLJT0AWEBAAZtMKpqNQEBQZZvBoQBBQDm8ycyShUFAsSeuKQVwQUB28wHJAkdBQHJJfaWlIkJA1QghRtq6QUCpxPJyO85BQNnib1IT2UJAMNXgR7w9Q0D515iLFJ9DQGgdN/BlWERAWoH1wqNHREDAuXBw9MhEQDuiP3bxwURAJeqhsIaDRECmdNlwDaZDQKUfo2j9U0NA0mp4RftqQ0ClxqbcOvFCQPFCEEgDqUJAaSaE+bAGQkAxM8pnJDFCQNeaiHv0/UFAHllIF7H6QUBWjkzrws5BQE8La1HCa0FAG0jO42vZQUDDlta7FRNCQDyKb5GM20FAT0hexTWiQUCt7NGcmbNBQHeT+BSGNkJA7azVHa6AQkB+acdp/atCQG2kPyyNyUFAsSJNykLHQUB2wyYsTnlCQGAHxbtRwkJARmh3HRbGQkDs0ggbz9NCQDdwqgMP7kJAtUxOi1lHQ0C+vzDnNoFDQBHnrAVz40JAsCMZV8bRQkB15nFhIfJBQArfAJ40GEJAnSVsscmkQ0BPZ8Pfk8pDQG6D9t5BYURApSqdrT67RUAm+BGwRddFQMHLWMP7bkVAa9JHq0xzRUCXCOqe5SZFQL7Pt9BzO0VAamJkqz6uREBuaAVKcrpDQFFLp4VQ6ENAuep1JppERECgqwgLqM5DQGti8fEIHURAxp/j3WoAQ0B26bTJkp9DQCsgtP4IV0NAXvugUmQDQ0Bro4XihDFDQNy+WctwYkJAz6uxYcUuQUC9LBXQfHFAQC/ytqLdnj5AyVq5obM4PUASRVyXfKY7QNEJMKGClDtAwyQtF7avOkB+5XWGk1s8QErJA9mGnT1AMFCRysZpPkBsuw50XKo/QJHXBKvA6T1AOwnBBRYYP0DlhQvRbjI/QEl0wuBGNkBAkpEKrGgaP0AfZeZQlpg/QNwQNE/l7T1AixoC83M2PUDWUW8U7hY9QIIkihTrRjxA9tJOhyWlPUDmYKPIqfs9QPABaCk+qz5A7ewmuz4pQEBQwXOk41I/QD0cUyoEdUBAedkyULCsQEBvOf/L5yxAQIbgGMVxwEBApYdNjdcxQEA/EEtGbhZAQLwFjQRcqEBASIMa2ujBQECuTy/6w9hBQJmsYvyx+EFASczOmAXQQUBEn+5CbtRAQEwv5yvAFEFAtBUU/yeDQUA8xP90R/1BQO5ECOZNC0JAerTFdiRfQUAQGLxdqTBBQMR0guUyOkFA6eInSINAQUAf0YDZj1dBQKqdxdiPxkFAV/Jq9jzeQUBBN1TnmzpBQCLuTrfVAEJAK8L6GKn0QUDngpoyfBZCQDLsB7moAUJAAXNsyk9vQUAdSVLqECRBQOuvdfF1sUBAE8XO3db1QEBM8Lu7WjNBQMYceYOdnEFAzYaee/aNQUBmcmN82FFCQIlGHrhg6UFAOgcIHI/YQkDGjH0dEWRDQPpeAfAUJkNALgeqcrJxQ0AsFmgLkLRCQO9LM2idUUJAmT2lcVI9QkCAQeQ+rk9CQMGzOUTZGUNAGJvAVB4FQ0DRYpivSdRCQJP43EswwEJAclqgwZk7Q0An+pS2xzNDQNG0gGTUMENAT55uo5XaQkDLFF4pcCNCQNK+Naq/3EFAZ9iSFwFIQUBbnyC75z9BQPrTCxjoAkFAjyuaongEQUCYEphI+51BQI4jjWuj4EFAg6iVs8pKQkAare1TPDNCQKVKZodq4kFAgyssf7PGQUDSEXTpRXlBQIHk44hooEBAnTrcpA7yQUCldGRv8qNCQGb3rWo/WUNAVQh0+mUMQ0BtrJZ4MohDQPBeLdlsfENAQfGUzO7wQ0AOu9OGdP9DQMbTv2xls0NARmCzXNhsRED2RVp7jq1EQBpE0IqgNkRAHyzYKUMaREAr5i+lACFDQJAiZMo9GENAD/t4+JJ5QkB7A2K0IqNDQCZTdvQCQURAb00MdBcCREDVt3THRbREQA1EAuyIe0RAVX0xsfjTRED5CL0hdV1EQIy2XtOFYURAy9jOSNTLQ0AMgYNzjB5DQKGTpdc2MURATKDoSTSkREDHAN8sKFZFQPAjYJ0V7URAMwiNjU18RUDFZI1mFapFQPnh2sF7sUZA+rU1vrvpRkCMjwU9k1VHQIwsingJikZAQc0Sw/2YRkBD0UHuPsNGQKSO28j9BUdAGZMNAvbNRkD06U+2FOdFQLY+8uqtQkVAi3LOnyOxREBdQ7v8qWpEQKL1Ho7SF0VAmdzOHS5aREA5kMYp+q1DQM7TdcTRukJAlZVcrTAfQ0CLE6sk1f5BQHWwUHg8ckFAA+evSPHaQEAzWsBtNKpAQKclppGcD0BAqxRX/olTQEAyDdYfGWRAQEqxEnzb6EBAqMLK1pZBQUCIk0ZWl5tBQH56fNsUz0FAnbAgZ7RJQkBl8wvNWslCQB59DBxyZkNAKSL4W9DuQ0AyLPbgPVJDQPx95yrC8EJAEJvm+mDJQ0CiAvqO0JxDQLJR1XwiLERAOW1VuqQuREBKjQro0fNEQKRY4hAZekRAzHx8l/GdRECAPyYLf6hEQHhv1zCS2kRA+BOxGHANRUBPgBeZmP9EQO44g6fT2ERA8X3TcwfWREB3JW+f+/FEQIRqjq1JBEZA4j66jGa2RUAPA4JxjJFFQE72dneaXUZAtTzqO/bsRUAzEugfGKlGQAdliUmLaEZAyvJdln3DRUCYabrV2rtFQF38BrcYV0VAY5EORSW6REBwn1o0m0VFQMoogcEqFURAmF/0/2LBQ0AIBc+BvHVDQEkz6ydiQ0NAuRkXu1V0Q0Bg6NtpqOdCQJv09jdvakJAQoLeNgj4QkAM+OxZG5hCQFPoZzij9UFAzPJPIkhgQkCHn1qEHwRCQIaCn8V/NUJAJpXds7tkQkB5II5aomhCQNtG3bRHQEJA2p5jFVhCQkD2EADlpWFBQJLQ+241Q0FAY+ITE9XCQUDWOem7SltCQDHc4GNfO0JAxzyMjIr2QkDbVh0CIq5DQOD7zPlTNERAYwNmKBF9RECYpmVfLT1EQBO1Ii1wt0NADe1R1krKQ0C69CvOMDJEQPAWMME7V0NAWrIRrRDXQkAuOHbfRZZCQAibnjtpdEJA93w2zragQkCC6lwJpAlDQJWFNwrF+UFAL+XHAwvNQkCJBYP9MLFBQNIHCLTTIEJAS2Gmmay6QkBW+GasSBJDQHxrt2KfhUJA168hzIz3QkB2Qu1pj7xDQCznpCAYQ0NAhc9ePIHUQkAhyNZ4bKRCQNfseFw8OUJAQjG/ccY9QUDIITWAwTxCQCDD2/2pnEJArHg/L4qGQkBSgmeHFfNBQIl5ujPhaUJAuhVnbHEYQkBXPHlg61BDQC9goQzAlERAm+DjUN2YREAwbiOiPqxEQFLrur6JQkRAwZEraxBBREBIY5FCqv1DQJQQkOXfUENAdquun2eXQ0C7Y0DrVq9DQL4WVNJqxkNAsf/ZvVt1Q0BztNxoENZCQPF/ioDgeUJA/mIRfhHzQkCJLzX0EMRCQCmIaCMJVkJAdWruoij+QUBKgruT13JBQKT51C3Jk0FAcTHJAqWPQECUaYF2CIdAQOmqzue1pkBAT2005N5fQUD6jyAN9ihBQNzF4fhNQ0BAYPmoaDoUQEA79pE7bLE+QCJT/TCfyT5AmsvxA37nP0BGWNRJtwxAQD0/d6Y8BUBAnOzWPvn5QEDi/JGxDyNBQM0xGVCvekBA6VJr7k20P0Di0O2Pj64/QCjy66RaUEBAds0ERsqyQEA=”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”C”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”D”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”__x__values”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”C”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”D”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”__x__values”:{”ndarray”:”AACA9VmNa0IAAADB/o1rQgAAgIyjjmtCAAAAWEiPa0IAAIAj7Y9rQgAAAO+RkGtCAACAujaRa0IAAACG25FrQgAAgFGAkmtCAAAAHSWTa0IAAIDoyZNrQgAAALRulGtCAACAfxOVa0IAAABLuJVrQgAAgBZdlmtCAAAA4gGXa0IAAICtppdrQgAAAHlLmGtCAACARPCYa0IAAAAQlZlrQgAAgNs5mmtCAAAAp96aa0IAAIByg5trQgAAAD4onGtCAACACc2ca0IAAADVcZ1rQgAAgKAWnmtCAAAAbLuea0IAAIA3YJ9rQgAAAAMFoGtCAACAzqmga0IAAACaTqFrQgAAgGXzoWtCAAAAMZiia0IAAID8PKNrQgAAAMjho2tCAACAk4aka0IAAABfK6VrQgAAgCrQpWtCAAAA9nSma0IAAIDBGadrQgAAAI2+p2tCAACAWGOoa0IAAAAkCKlrQgAAgO+sqWtCAAAAu1Gqa0IAAICG9qprQgAAAFKbq2tCAACAHUCsa0IAAADp5KxrQgAAgLSJrWtCAAAAgC6ua0IAAIBL065rQgAAABd4r2tCAACA4hywa0IAAACuwbBrQgAAgHlmsWtCAAAARQuya0IAAIAQsLJrQgAAANxUs2tCAACAp/mza0IAAABznrRrQgAAgD5DtWtCAAAACui1a0IAAIDVjLZrQgAAAKExt2tCAACAbNa3a0IAAAA4e7hrQgAAgAMguWtCAAAAz8S5a0IAAICaabprQgAAAGYOu2tCAACAMbO7a0IAAAD9V7xrQgAAgMj8vGtCAAAAlKG9a0IAAIBfRr5rQgAAACvrvmtCAACA9o+/a0IAAADCNMBrQgAAgI3ZwGtCAAAAWX7Ba0IAAIAkI8JrQgAAAPDHwmtCAACAu2zDa0IAAACHEcRrQgAAgFK2xGtCAAAAHlvFa0IAAIDp/8VrQgAAALWkxmtCAACAgEnHa0IAAABM7sdrQgAAgBeTyGtCAAAA4zfJa0IAAICu3MlrQgAAAHqBymtCAACARSbLa0IAAAARy8trQgAAgNxvzGtCAAAAqBTNa0IAAIBzuc1rQgAAAD9ezmtCAACACgPPa0IAAADWp89rQgAAgKFM0GtCAAAAbfHQa0IAAIA4ltFrQgAAAAQ70mtCAACAz9/Sa0IAAACbhNNrQgAAgGYp1GtCAAAAMs7Ua0IAAID9ctVrQgAAAMkX1mtCAACAlLzWa0IAAABgYddrQgAAgCsG2GtCAAAA96rYa0IAAIDCT9lrQgAAAI702WtCAACAWZnaa0IAAAAlPttrQgAAgPDi22tCAAAAvIfca0IAAICHLN1rQgAAAFPR3WtCAACAHnbea0IAAADqGt9rQgAAgLW/32tCAAAAgWTga0IAAIBMCeFrQgAAABiu4WtCAACA41Lia0IAAACv9+JrQgAAgHqc42tCAAAARkHka0IAAIAR5uRrQgAAAN2K5WtCAACAqC/ma0IAAAB01OZrQgAAgD9552tCAAAACx7oa0IAAIDWwuhrQgAAAKJn6WtCAACAbQzqa0IAAAA5seprQgAAgARW62tCAAAA0Prra0IAAICbn+xrQgAAAGdE7WtCAACAMunta0IAAAD+je5rQgAAgMky72tCAAAAldfva0IAAIBgfPBrQgAAACwh8WtCAACA98Xxa0IAAADDavJrQgAAgI4P82tCAAAAWrTza0IAAIAlWfRrQgAAAPH99GtCAACAvKL1a0IAAACIR/ZrQgAAgFPs9mtCAAAAH5H3a0IAAIDqNfhrQgAAALba+GtCAACAgX/5a0IAAABNJPprQgAAgBjJ+mtCAAAA5G37a0IAAICvEvxrQgAAAHu3/GtCAACARlz9a0IAAAASAf5rQgAAgN2l/mtCAAAAqUr/a0IAAIB07/9rQgAAAECUAGxCAACACzkBbEIAAADX3QFsQgAAgKKCAmxCAAAAbicDbEIAAIA5zANsQgAAAAVxBGxCAACA0BUFbEIAAACcugVsQgAAgGdfBmxCAAAAMwQHbEIAAID+qAdsQgAAAMpNCGxCAACAlfIIbEIAAABhlwlsQgAAgCw8CmxCAAAA+OAKbEIAAIDDhQtsQgAAAI8qDGxCAACAWs8MbEIAAAAmdA1sQgAAgPEYDmxCAAAAvb0ObEIAAICIYg9sQgAAAFQHEGxCAACAH6wQbEIAAADrUBFsQgAAgLb1EWxCAAAAgpoSbEIAAIBNPxNsQgAAABnkE2xCAACA5IgUbEIAAACwLRVsQgAAgHvSFWxCAAAAR3cWbEIAAIASHBdsQgAAAN7AF2xCAACAqWUYbEIAAAB1ChlsQgAAgECvGWxCAAAADFQabEIAAIDX+BpsQgAAAKOdG2xCAACAbkIcbEIAAAA65xxsQgAAgAWMHWxCAAAA0TAebEIAAICc1R5sQgAAAGh6H2xCAACAMx8gbEIAAAD/wyBsQgAAgMpoIWxCAAAAlg0ibEIAAIBhsiJsQgAAAC1XI2xCAACA+PsjbEIAAADEoCRsQgAAgI9FJWxCAAAAW+olbEIAAIAmjyZsQgAAAPIzJ2xCAACAvdgnbEIAAACJfShsQgAAgFQiKWxCAAAAIMcpbEIAAIDraypsQgAAALcQK2xCAACAgrUrbEIAAABOWixsQgAAgBn/LGxCAAAA5aMtbEIAAICwSC5sQgAAAHztLmxCAACAR5IvbEIAAAATNzBsQgAAgN7bMGxCAAAAqoAxbEIAAIB1JTJsQgAAAEHKMmxCAACADG8zbEIAAADYEzRsQgAAgKO4NGxCAAAAb101bEIAAIA6AjZsQgAAAAanNmxCAACA0Us3bEIAAACd8DdsQgAAgGiVOGxCAAAANDo5bEIAAID/3jlsQgAAAMuDOmxCAACAlig7bEIAAABizTtsQgAAgC1yPGxCAAAA+RY9bEIAAIDEuz1sQgAAAJBgPmxCAACAWwU/bEIAAAAnqj9sQgAAgPJOQGxCAAAAvvNAbEIAAICJmEFsQgAAAFU9QmxCAACAIOJCbEIAAADshkNsQgAAgLcrRGxCAAAAg9BEbEIAAIBOdUVsQgAAABoaRmxCAACA5b5GbEIAAACxY0dsQgAAgHwISGxCAAAASK1IbEIAAIATUklsQgAAAN/2SWxCAACAqptKbEIAAAB2QEtsQgAAgEHlS2xCAAAADYpMbEIAAIDYLk1sQgAAAKTTTWxCAACAb3hObEIAAAA7HU9sQgAAgAbCT2xCAAAA0mZQbEIAAICdC1FsQgAAAGmwUWxCAACANFVSbEIAAAAA+lJsQgAAgMueU2xCAAAAl0NUbEIAAIBi6FRsQgAAAC6NVWxCAACA+TFWbEIAAADF1lZsQgAAgJB7V2xCAAAAXCBYbEIAAIAnxVhsQgAAAPNpWWxCAACAvg5abEIAAACKs1psQgAAgFVYW2xCAAAAIf1bbEIAAIDsoVxsQgAAALhGXWxCAACAg+tdbEIAAABPkF5sQgAAgBo1X2xCAAAA5tlfbEIAAICxfmBsQgAAAH0jYWxCAACASMhhbEIAAAAUbWJsQgAAgN8RY2xCAAAAq7ZjbEIAAIB2W2RsQgAAAEIAZWxCAACADaVlbEIAAADZSWZsQgAAgKTuZmxCAAAAcJNnbEIAAIA7OGhsQgAAAAfdaGxCAACA0oFpbEIAAACeJmpsQgAAgGnLamxCAAAANXBrbEIAAIAAFWxsQgAAAMy5bGxCAACAl15tbEIAAABjA25sQgAAgC6obmxCAAAA+kxvbEIAAIDF8W9sQgAAAJGWcGxCAACAXDtxbEIAAAAo4HFsQgAAgPOEcmxCAAAAvylzbEIAAICKznNsQgAAAFZzdGxCAACAIRh1bEIAAADtvHVsQgAAgLhhdmxCAAAAhAZ3bEIAAIBPq3dsQgAAABtQeGxCAACA5vR4bEIAAACymXlsQgAAgH0+emxCAAAASeN6bEIAAIAUiHtsQgAAAOAsfGxCAACAq9F8bEIAAAB3dn1sQgAAgEIbfmxCAAAADsB+bEIAAIDZZH9sQgAAAKUJgGxCAACAcK6AbEIAAAA8U4FsQgAAgAf4gWxCAAAA05yCbEIAAICeQYNsQgAAAGrmg2xCAACANYuEbEIAAAABMIVsQgAAgMzUhWxCAAAAmHmGbEIAAIBjHodsQgAAAC/Dh2xCAACA+meIbEIAAADGDIlsQgAAgJGxiWxCAAAAXVaKbEIAAIAo+4psQgAAAPSfi2xCAACAv0SMbEIAAACL6YxsQgAAgFaOjWxCAAAAIjOObEIAAIDt145sQgAAALl8j2xCAACAhCGQbEIAAABQxpBsQgAAgBtrkWxCAAAA5w+SbEIAAICytJJsQgAAAH5Zk2xCAACASf6TbEIAAAAVo5RsQgAAgOBHlWxCAAAArOyVbEIAAIB3kZZsQgAAAEM2l2xCAACADtuXbEIAAADaf5hsQgAAgKUkmWxCAAAAccmZbEIAAIA8bppsQgAAAAgTm2xCAACA07ebbEIAAACfXJxsQgAAgGoBnWxCAAAANqadbEIAAIABS55sQgAAAM3vnmxCAACAmJSfbEIAAABkOaBsQgAAgC/eoGxCAAAA+4KhbEIAAIDGJ6JsQgAAAJLMomxCAACAXXGjbEIAAAApFqRsQgAAgPS6pGxCAAAAwF+lbEIAAICLBKZsQgAAAFeppmxCAACAIk6nbEIAAADu8qdsQgAAgLmXqGxCAAAAhTypbEIAAIBQ4alsQgAAAByGqmxCAACA5yqrbEIAAACzz6tsQgAAgH50rGxCAAAAShmtbEIAAIAVvq1sQgAAAOFirmxCAACArAevbEIAAAB4rK9sQgAAgENRsGxCAAAAD/awbEIAAIDamrFsQgAAAKY/smxCAACAceSybEIAAAA9ibNsQgAAgAgutGxCAAAA1NK0bEIAAICfd7VsQgAAAGsctmxCAACANsG2bEIAAAACZrdsQgAAgM0KuGxCAAAAma+4bEIAAIBkVLlsQgAAADD5uWxCAACA+526bEIAAADHQrtsQgAAgJLnu2xCAAAAXoy8bEIAAIApMb1sQgAAAPXVvWxCAACAwHq+bEIAAACMH79sQgAAgFfEv2xCAAAAI2nAbEIAAIDuDcFsQgAAALqywWxCAACAhVfCbEIAAABR/MJsQgAAgByhw2xCAAAA6EXEbEIAAICz6sRsQgAAAH+PxWxCAACASjTGbEIAAAAW2cZsQgAAgOF9x2xCAAAArSLIbEIAAIB4x8hsQgAAAERsyWxCAACADxHKbEIAAADbtcpsQgAAgKZay2xCAAAAcv/LbEIAAIA9pMxsQgAAAAlJzWxCAACA1O3NbEIAAACgks5sQgAAgGs3z2xCAAAAN9zPbEIAAIACgdBsQgAAAM4l0WxCAACAmcrRbEIAAABlb9JsQgAAgDAU02xCAAAA/LjTbEIAAIDHXdRsQgAAAJMC1WxCAACAXqfVbEIAAAAqTNZsQgAAgPXw1mxCAAAAwZXXbEIAAICMOthsQgAAAFjf2GxCAACAI4TZbEIAAADvKNpsQgAAgLrN2mxCAAAAhnLbbEIAAIBRF9xsQgAAAB283GxCAACA6GDdbEIAAAC0Bd5sQgAAgH+q3mxCAAAAS0/fbEIAAIAW9N9sQgAAAOKY4GxCAACArT3hbEIAAAB54uFsQgAAgESH4mxCAAAAECzjbEIAAIDb0ONsQgAAAKd15GxCAACAchrlbEIAAAA+v+VsQgAAgAlk5mxCAAAA1QjnbEIAAICgredsQgAAAGxS6GxCAACAN/fobEIAAAADnOlsQgAAgM5A6mxCAAAAmuXqbEIAAIBliutsQgAAADEv7GxCAACA/NPsbEIAAADIeO1sQgAAgJMd7mxCAAAAX8LubEIAAIAqZ+9sQgAAAPYL8GxCAACAwbDwbEIAAACNVfFsQgAAgFj68WxCAAAAJJ/ybEIAAIDvQ/NsQgAAALvo82xCAACAho30bEIAAABSMvVsQgAAgB3X9WxCAAAA6Xv2bEIAAIC0IPdsQgAAAIDF92xCAACAS2r4bEIAAAAXD/lsQgAAgOKz+WxCAAAArlj6bEIAAIB5/fpsQgAAAEWi+2xCAACAEEf8bEIAAADc6/xsQgAAgKeQ/WxCAAAAczX+bEIAAIA+2v5sQgAAAAp//2xCAACA1SMAbUIAAAChyABtQgAAgGxtAW1CAAAAOBICbUIAAIADtwJtQgAAAM9bA21CAACAmgAEbUIAAABmpQRtQgAAgDFKBW1CAAAA/e4FbUIAAIDIkwZtQgAAAJQ4B21CAACAX90HbUIAAAArgghtQgAAgPYmCW1CAAAAwssJbUIAAICNcAptQgAAAFkVC21CAACAJLoLbUIAAADwXgxtQgAAgLsDDW1CAAAAh6gNbUIAAIBSTQ5tQgAAAB7yDm1CAACA6ZYPbUIAAAC1OxBtQgAAgIDgEG1CAAAATIURbUIAAIAXKhJtQgAAAOPOEm1CAACArnMTbUIAAAB6GBRtQgAAgEW9FG1CAAAAEWIVbUIAAIDcBhZtQgAAAKirFm1CAACAc1AXbUIAAAA/9RdtQgAAgAqaGG1CAAAA1j4ZbUIAAICh4xltQgAAAG2IGm1CAACAOC0bbUIAAAAE0httQgAAgM92HG1CAAAAmxsdbUIAAIBmwB1tQgAAADJlHm1CAACA/QkfbUIAAADJrh9tQgAAgJRTIG1CAAAAYPggbUIAAIArnSFtQgAAAPdBIm1CAACAwuYibUIAAACOiyNtQgAAgFkwJG1CAAAAJdUkbUIAAIDweSVtQgAAALweJm1CAACAh8MmbUIAAABTaCdtQgAAgB4NKG1CAAAA6rEobUIAAIC1ViltQgAAAIH7KW1CAACATKAqbUIAAAAYRSttQgAAgOPpK21CAAAAr44sbUIAAIB6My1tQgAAAEbYLW1CAACAEX0ubUIAAADdIS9tQgAAgKjGL21CAAAAdGswbUIAAIA/EDFtQgAAAAu1MW1CAACA1lkybUIAAACi/jJtQgAAgG2jM21CAAAAOUg0bUIAAIAE7TRtQgAAANCRNW1CAACAmzY2bUIAAABn2zZtQgAAgDKAN21CAAAA/iQ4bUIAAIDJyThtQgAAAJVuOW1CAACAYBM6bUIAAAAsuDptQgAAgPdcO21CAAAAwwE8bUIAAICOpjxtQgAAAFpLPW1CAACAJfA9bUIAAADxlD5tQgAAgLw5P21CAAAAiN4/bUIAAIBTg0BtQgAAAB8oQW1CAACA6sxBbUIAAAC2cUJtQgAAgIEWQ21CAAAATbtDbUIAAIAYYERtQgAAAOQERW1CAACAr6lFbUIAAAB7TkZtQgAAgEbzRm1CAAAAEphHbUIAAIDdPEhtQgAAAKnhSG1CAACAdIZJbUIAAABAK0ptQgAAgAvQSm1CAAAA13RLbUIAAICiGUxtQgAAAG6+TG1CAACAOWNNbUIAAAAFCE5tQgAAgNCsTm1CAAAAnFFPbUIAAIBn9k9tQgAAADObUG1CAACA/j9RbUIAAADK5FFtQgAAgJWJUm1CAAAAYS5TbUIAAIAs01NtQgAAAPh3VG1CAACAwxxVbUIAAACPwVVtQgAAgFpmVm1CAAAAJgtXbUIAAIDxr1dtQgAAAL1UWG1CAACAiPlYbUIAAABUnlltQgAAgB9DWm1CAAAA6+dabUIAAIC2jFttQgAAAIIxXG1CAACATdZcbUIAAAAZe11tQgAAgOQfXm1CAAAAsMRebUIAAIB7aV9tQgAAAEcOYG1CAACAErNgbUIAAADeV2FtQgAAgKn8YW1CAAAAdaFibUIAAIBARmNtQgAAAAzrY21CAACA149kbUIAAACjNGVtQgAAgG7ZZW1CAAAAOn5mbUIAAIAFI2dtQgAAANHHZ21CAACAnGxobUIAAABoEWltQgAAgDO2aW1CAAAA/1pqbUIAAIDK/2ptQgAAAJaka21CAACAYUlsbUIAAAAt7mxtQgAAgPiSbW1CAAAAxDdubUIAAICP3G5tQgAAAFuBb21CAACAJiZwbUIAAADyynBtQgAAgL1vcW1CAAAAiRRybUIAAIBUuXJtQgAAACBec21CAACA6wJ0bUIAAAC3p3RtQgAAgIJMdW1CAAAATvF1bUIAAIAZlnZtQgAAAOU6d21CAACAsN93bUIAAAB8hHhtQgAAgEcpeW1CAAAAE855bUIAAIDecnptQgAAAKoXe21CAACAdbx7bUIAAABBYXxtQgAAgAwGfW1CAAAA2Kp9bUIAAICjT35tQgAAAG/0fm1CAACAOpl/bUIAAAAGPoBtQgAAgNHigG1CAAAAnYeBbUIAAIBoLIJtQgAAADTRgm1CAACA/3WDbUIAAADLGoRtQgAAgJa/hG1CAAAAYmSFbUIAAIAtCYZtQgAAAPmthm1CAACAxFKHbUIAAACQ94dtQgAAgFuciG1CAAAAJ0GJbUIAAIDy5YltQgAAAL6Kim1CAACAiS+LbUIAAABV1IttQgAAgCB5jG1CAAAA7B2NbUIAAIC3wo1tQgAAAINnjm1CAACATgyPbUIAAAAasY9tQgAAgOVVkG1CAAAAsfqQbUIAAIB8n5FtQgAAAEhEkm1CAACAE+mSbUIAAADfjZNtQgAAgKoylG1CAAAAdteUbUIAAIBBfJVtQgAAAA0hlm1CAACA2MWWbUIAAACkapdtQgAAgG8PmG1CAAAAO7SYbUIAAIAGWZltQgAAANL9mW1CAACAnaKabUIAAABpR5ttQgAAgDTsm21CAAAAAJGcbUIAAIDLNZ1tQgAAAJfanW1CAACAYn+ebUIAAAAuJJ9tQgAAgPnIn21CAAAAxW2gbUIAAICQEqFtQgAAAFy3oW1CAACAJ1yibUIAAADzAKNtQgAAgL6lo21CAAAAikqkbUIAAIBV76RtQgAAACGUpW1CAACA7DimbUIAAAC43aZtQgAAgIOCp21CAAAATyeobUIAAIAazKhtQgAAAOZwqW1CAACAsRWqbUIAAAB9uqptQgAAgEhfq21CAAAAFASsbUIAAIDfqKxtQgAAAKtNrW1CAACAdvKtbUIAAABCl65tQgAAgA08r21CAAAA2eCvbUIAAICkhbBtQgAAAHAqsW1CAACAO8+xbUIAAAAHdLJtQgAAgNIYs21CAAAAnr2zbUIAAIBpYrRtQgAAADUHtW1CAACAAKy1bUIAAADMULZtQgAAgJf1tm1CAAAAY5q3bUIAAIAuP7htQgAAAPrjuG1CAACAxYi5bUIAAACRLbptQgAAgFzSum1CAAAAKHe7bUIAAIDzG7xtQgAAAL/AvG1CAACAimW9bUIAAABWCr5tQgAAgCGvvm1CAAAA7VO/bUIAAIC4+L9tQgAAAISdwG1CAACAT0LBbUIAAAAb58FtQgAAgOaLwm1CAAAAsjDDbUIAAIB91cNtQgAAAEl6xG1CAACAFB/FbUIAAADgw8VtQgAAgKtoxm1CAAAAdw3HbUIAAIBCssdtQgAAAA5XyG1CAACA2fvIbUIAAACloMltQgAAgHBFym1CAAAAPOrKbUIAAIAHj8ttQgAAANMzzG1CAACAntjMbUIAAABqfc1tQgAAgDUizm1CAAAAAcfObUIAAIDMa89tQgAAAJgQ0G1CAACAY7XQbUIAAAAvWtFtQgAAgPr+0W1CAAAAxqPSbUIAAICRSNNtQgAAAF3t021CAACAKJLUbUIAAAD0NtVtQgAAgL/b1W1CAAAAi4DWbUIAAIBWJddtQgAAACLK121CAACA7W7YbUIAAAC5E9ltQgAAgIS42W1CAAAAUF3abUIAAIAbAtttQgAAAOem221CAACAskvcbUIAAAB+8NxtQgAAgEmV3W1CAAAAFTrebUIAAIDg3t5tQgAAAKyD321CAACAdyjgbUIAAABDzeBtQgAAgA5y4W1CAAAA2hbibUIAAIClu+JtQgAAAHFg421CAACAPAXkbUIAAAAIquRtQgAAgNNO5W1CAAAAn/PlbUIAAIBqmOZtQgAAADY9521CAACAAeLnbUIAAADNhuhtQgAAgJgr6W1CAAAAZNDpbUIAAIAvdeptQgAAAPsZ621CAACAxr7rbUIAAACSY+xtQgAAgF0I7W1CAAAAKa3tbUIAAID0Ue5tQgAAAMD27m1CAACAi5vvbUIAAABXQPBtQgAAgCLl8G1CAAAA7onxbUIAAIC5LvJtQgAAAIXT8m1CAACAUHjzbUIAAAAcHfRtQgAAgOfB9G1CAAAAs2b1bUIAAIB+C/ZtQgAAAEqw9m1CAACAFVX3bUIAAADh+fdtQgAAgKye+G1CAAAAeEP5bUIAAIBD6PltQgAAAA+N+m1CAACA2jH7bUIAAACm1vttQgAAgHF7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A98OhROEBFFcShnh44QBPbnHCrrTlAgCpM74lvOUDHQE85+9M4QIJa+x6/IjlAXw9r/IhmOECABulvjHg5QOFxd6I7ajlAlGWR96oIOkA2GJKg04M4QNLJcNQKADhAdMoTMRYWOEDFTsBM4Zw4QKXHrAkqoDhAbzTAxF8xOEATnXLw4i05QNZsfB3wsThAtkNIYY+vOEAZ83I80fY4QJOVe1BBfDhApUe9W5kROEDbNz3cU1o5QPOcgIY8czpAtNlf2JyxOkA2dEXj6M06QKU2cz6O8jlAzC7hu82+OkAra/X6Gpo8QA5uDr3DNTpAqhIiaCzWOEDRQ8tz+hw5QFjKOUmZgDhAA1qALPvvOUAh7LaPdBg4QMWC4sfoHjhAhzMvJB2dOECQkjktwdI4QCnh6AG5/DdASrHA0h38OEAqyZ4Ozew4QFQ8NDrDzTdAaIJ/uPdxNkBoN/KDxNg1QOwcyVWg8DdAYvCcti0pN0AR5JgfhKs4QEqhX/yYLzdALvQkpn4hNkCgzD2xDbU1QLRWA+hdZjRAcx9OcPQzNECgO+p3mbI0QK7cUuL1kTNACucMct+MM0ByMhL8qskyQHXdoji5fDRAvkQzbO89NUDDevGospQzQHBXafSjhTRAe5PoET7eM0D8FCkWgO0yQFnxBeq8rTJAXLuD2NvnMkACWprYjTYzQF3FAyrRnTJAhuTpJanxMUCXIKPkE9owQOL4habd9SxAdK6YuFBGLUAGkgcdSg8sQEXZ8zD1WSxAlm55HAUALUB5w9BP4DIrQLJRQWJgLCxAsOpohUnsK0B8nIN7OwEtQEwdP41P4ypAUOcrLH1pK0AzPtmixiYuQKDFGnWsWSxAc5gPUyWOLEBmM0NINQItQAf2VrUCWy9A9q4Jc0KkLEDbTi5mpMQoQDr5fY3IuilAAmUSXWoHLEDUVCzG+LYpQGPocomIFyxA8x7bopDuKkDO/M6VkyUrQOYlju+bvC1AFikkf33QLEA87WL85GwqQOgvs1aGWypA5O1sAKweLEDFAiQM7/AqQKU2WZOvVClAr1nWkMppJ0Ckm9RIMPwmQA/EmJ72TChAhtKYg1YfJ0DP0ToUnUkmQNwFdY/oTyVAl6MDUiKsJ0AYrHKB8ZAnQHYBA4FekShAeBn+l08AKUAr341Su+smQOqmPbxHqSdAM1spW3t7KECszH4wXjoqQHQAhAGANyhAR9R9248TJkACIeBw/qgnQB/+d2l6kCpA2EgWFKUuLEASVOhMCtQpQPLXlfZJPypA5D9rLObeKUCap4IKjvMoQIwUrWX/CipAxPHMHeV8KUB+rjS9Ug4pQBftX44l3yZA1nwQSo8+KEBBlrXn1SArQJ6UCwiaay1A6J25AFeDLEDW0bLEvTktQF1P4Nftai9Akywu5WAYMEBybJXZUp4wQPmKS+azbjFAfw8qnNsRMkAtp6mu+nMwQEwJvcGkfzBAUgumee0uMEAmb5BBT6oxQBgf23U5YjJAYKiBgwuHMUC5wazd/QEyQKs6XC1XszJA6c96oyB4MkCzCfV5o24xQBlO3dom+i9AP2bGO5zwMEBDM9PpNXMxQD86d3IJdTBAw3YJi9cIMUDLJF4RZP0xQOAmA/tBZjJAdjbTU67JNEDTtLlhg8s1QAbEEmLMtjVACbammoVON0Aqtj4Dt0I2QKxhmMg/eDVAcjV3hhT9NUCHFjl+ypc3QDGhhiSEuTZA9KX0HR99NkCF6wjX0v00QL4lPza0uDNAxc4jWCG6MkAafBb2qMEzQO/4lDLuZjRAPgMYE7pgNEBdckQdLKg0QCYVexCCaTdAOcY9+WNSNUD9fC7fCjU1QDEPcnqBsTVAK0oRj00zNkCI2CAwCvA1QJbfhRJuXTdAUcNv3j8GOED69nyFRlg5QLciStC/LzlAR/iIGbYfOUCudxApIQw6QLXHRuKeojpALZjJha8qOkCUyN7NQFw5QFxzcxDYhjpAFjgxLgP3OUDAHLCB9H46QKO4OcLdXTtAZyJKBxDkOkD8vZK3o9A6QOLwz0RB9jpAUZh37qa3OUCv1d/3l2A4QOKWvnoAXzlADkm//+gAOkCIhzErJjs6QAlfU7VeqTlAnn0R1Rz5N0CDF+7LypQ3QClg4fXJOThABXRyXFt+OEADKaYyGVI5QNfyjIEjYjpASUmk5g0MPEAcbVxPln48QB2wnxM0NDtAVzFL5Qe9PEDpT2Mv1r08QJJPvwMtVD1AMBz07LITP0AVGet797A+QIRUuKkvez9A0C0xXRZJP0CuitvffPc+QOUQXLmhTz5AQxuDRUAEPkB7H02TFgI9QHWZ/fX5Yj5AyWdyCEwwPUAK/bOK5cA9QPA/z5Iz8j1AhFKv5M/UPUCxJ6Tl7oo+QBKB7GFzHj5AfXy4EQ7aPkC8/K5aFx4+QJ+D9f9WID5Axy3gIoYFPEDGRQwYs/Y7QB2TEzyiPT5ATZa8kGGHP0A+/hI2QiFAQFZpl2bzOEFAPVq/xdV4QUAL64ua0+JBQNPI8MJsckJAGhOySCieQkD8iN9Y9PhCQC1QSOvj0UJAhReE5hMxQ0BNYw8sci5DQOSAHh93fENAuj5mB8CBQ0C+rnAWkgJDQH9WWPb5fENA7Rq1dsuHQ0CWUH/Fn9VCQG+aYpBvR0NAMEEtRB7LQ0B4V+AxWf5DQNNFmpDqdENA14RBTs9vQ0DCCHEYAEZEQC2qF6NIlUNAwgOSLX/tQ0B7jzE0pQBEQGCR4AnnMkRAcP66ikdwREBBhDZpyyZEQOwHJIUDm0RA0Ow0e5T6REAPCUqj5TxFQAKTZWd6TkVASB9Ja2xxRUALMWriIddFQB8QFqMRdUVAYRCNJP8/RUB+jy+1ZJlEQAlOZbxhtURAOCJOk446RUA1OpxVDsVEQHQfBRE6DEVAcJBNxv6PRUCRL13xp2VFQEHNjO6DlkZAQzomSTQTRkDErA08xPxFQC7KHZECIkZAXsxJE3YGR0BQK6e2OX5IQDBs8H0Ny0hAt7WFeeFDSEB2tU0v9pBHQACNmwXog0dAvmZyYlQASEDLVpmbNWlIQAgd5dp2LUhA3PAnvqr4R0C0R1r//ZhIQC7Frn9zMUlAFdeh9XWGSEBq96xc5exHQHokQ1ysMEdAVTbSaJ3eRkDt98PX0a1HQPSEUxVcYEdA62+J89mgRkD+ibpqCatGQAB9j8VTkEZA/Ie3kGRvRkA7UwqdPg5GQH/6KUExp0VAH29fOejlREB8j22xfAJFQH+R36bhG0VAI+fUu8FYRUDHup/ui3lFQOwS4jbxN0VA1RgEIg2xREAbsG9t4IZEQOgI9tUEh0NA1CLkxXecQ0DNP8XokctCQBiijQWmxUJA9xKvNUytQkCOsaxjuG5CQN5uFnFn4kFAcHyVlZ4rQ0DWTsbujuBCQA3T3lRfTENASPsoyQqiQkDVJXNBNa9CQEYtxF7hzUJAisrFrdg1QkDKmK9q2chBQG2IhKuSrkFA4jUgzMFMQUDJE+KYzRtBQMrOioUkIEFA8xxcDmkJQUCPf1tdsqZAQB0yXWxmtEBAwR1gTBmtQEBTDmrIDGBAQJAc6nDGwEBAZwZ6D7vpQEAn5Fgi68NBQLB/0GNzc0FApurcaMRuQUDTMBca83JAQA7tRawiSUBAZ43qIlgZQECULR694QFAQMN7l6+9/EBAV4AtcRmXP0BIkkUO9+A+QKRSrqYAgD5AnMjAPRhfPkB7CxBkGRM/QILe2Q5Llz5AmLlNcCddPkBe/7ySYQA/QJJV1NiNgT9AsWmmyJfCPkDCapYgXuc9QBC8art6uT1AcfAp4j8KP0Bc42x+Afw9QOyvBy5wrD9AkDVCv+9OP0DgwADc/tA+QDOjum/NpD5ACpvbaCa4PkDCodeWfqw9QKellWuOtD1Afd+Mgnn6PUCTGDvvZKI9QH56/YJZ9zxA+oPNgNHdPkAjgKS2WQRAQNQnDlQtnEBAUyhMxq47QECqkqFBF3BAQGjLJT0AWEBAAZtMKpqNQEBQZZvBoQBBQDm8ycyShUFAsSeuKQVwQUB28wHJAkdBQHJJfaWlIkJA1QghRtq6QUCpxPJyO85BQNnib1IT2UJAMNXgR7w9Q0D515iLFJ9DQGgdN/BlWERAWoH1wqNHREDAuXBw9MhEQDuiP3bxwURAJeqhsIaDRECmdNlwDaZDQKUfo2j9U0NA0mp4RftqQ0ClxqbcOvFCQPFCEEgDqUJAaSaE+bAGQkAxM8pnJDFCQNeaiHv0/UFAHllIF7H6QUBWjkzrws5BQE8La1HCa0FAG0jO42vZQUDDlta7FRNCQDyKb5GM20FAT0hexTWiQUCt7NGcmbNBQHeT+BSGNkJA7azVHa6AQkB+acdp/atCQG2kPyyNyUFAsSJNykLHQUB2wyYsTnlCQGAHxbtRwkJARmh3HRbGQkDs0ggbz9NCQDdwqgMP7kJAtUxOi1lHQ0C+vzDnNoFDQBHnrAVz40JAsCMZV8bRQkB15nFhIfJBQArfAJ40GEJAnSVsscmkQ0BPZ8Pfk8pDQG6D9t5BYURApSqdrT67RUAm+BGwRddFQMHLWMP7bkVAa9JHq0xzRUCXCOqe5SZFQL7Pt9BzO0VAamJkqz6uREBuaAVKcrpDQFFLp4VQ6ENAuep1JppERECgqwgLqM5DQGti8fEIHURAxp/j3WoAQ0B26bTJkp9DQCsgtP4IV0NAXvugUmQDQ0Bro4XihDFDQNy+WctwYkJAz6uxYcUuQUC9LBXQfHFAQC/ytqLdnj5AyVq5obM4PUASRVyXfKY7QNEJMKGClDtAwyQtF7avOkB+5XWGk1s8QErJA9mGnT1AMFCRysZpPkBsuw50XKo/QJHXBKvA6T1AOwnBBRYYP0DlhQvRbjI/QEl0wuBGNkBAkpEKrGgaP0AfZeZQlpg/QNwQNE/l7T1AixoC83M2PUDWUW8U7hY9QIIkihTrRjxA9tJOhyWlPUDmYKPIqfs9QPABaCk+qz5A7ewmuz4pQEBQwXOk41I/QD0cUyoEdUBAedkyULCsQEBvOf/L5yxAQIbgGMVxwEBApYdNjdcxQEA/EEtGbhZAQLwFjQRcqEBASIMa2ujBQECuTy/6w9hBQJmsYvyx+EFASczOmAXQQUBEn+5CbtRAQEwv5yvAFEFAtBUU/yeDQUA8xP90R/1BQO5ECOZNC0JAerTFdiRfQUAQGLxdqTBBQMR0guUyOkFA6eInSINAQUAf0YDZj1dBQKqdxdiPxkFAV/Jq9jzeQUBBN1TnmzpBQCLuTrfVAEJAK8L6GKn0QUDngpoyfBZCQDLsB7moAUJAAXNsyk9vQUAdSVLqECRBQOuvdfF1sUBAE8XO3db1QEBM8Lu7WjNBQMYceYOdnEFAzYaee/aNQUBmcmN82FFCQIlGHrhg6UFAOgcIHI/YQkDGjH0dEWRDQPpeAfAUJkNALgeqcrJxQ0AsFmgLkLRCQO9LM2idUUJAmT2lcVI9QkCAQeQ+rk9CQMGzOUTZGUNAGJvAVB4FQ0DRYpivSdRCQJP43EswwEJAclqgwZk7Q0An+pS2xzNDQNG0gGTUMENAT55uo5XaQkDLFF4pcCNCQNK+Naq/3EFAZ9iSFwFIQUBbnyC75z9BQPrTCxjoAkFAjyuaongEQUCYEphI+51BQI4jjWuj4EFAg6iVs8pKQkAare1TPDNCQKVKZodq4kFAgyssf7PGQUDSEXTpRXlBQIHk44hooEBAnTrcpA7yQUCldGRv8qNCQGb3rWo/WUNAVQh0+mUMQ0BtrJZ4MohDQPBeLdlsfENAQfGUzO7wQ0AOu9OGdP9DQMbTv2xls0NARmCzXNhsRED2RVp7jq1EQBpE0IqgNkRAHyzYKUMaREAr5i+lACFDQJAiZMo9GENAD/t4+JJ5QkB7A2K0IqNDQCZTdvQCQURAb00MdBcCREDVt3THRbREQA1EAuyIe0RAVX0xsfjTRED5CL0hdV1EQIy2XtOFYURAy9jOSNTLQ0AMgYNzjB5DQKGTpdc2MURATKDoSTSkREDHAN8sKFZFQPAjYJ0V7URAMwiNjU18RUDFZI1mFapFQPnh2sF7sUZA+rU1vrvpRkCMjwU9k1VHQIwsingJikZAQc0Sw/2YRkBD0UHuPsNGQKSO28j9BUdAGZMNAvbNRkD06U+2FOdFQLY+8uqtQkVAi3LOnyOxREBdQ7v8qWpEQKL1Ho7SF0VAmdzOHS5aREA5kMYp+q1DQM7TdcTRukJAlZVcrTAfQ0CLE6sk1f5BQHWwUHg8ckFAA+evSPHaQEAzWsBtNKpAQKclppGcD0BAqxRX/olTQEAyDdYfGWRAQEqxEnzb6EBAqMLK1pZBQUCIk0ZWl5tBQH56fNsUz0FAnbAgZ7RJQkBl8wvNWslCQB59DBxyZkNAKSL4W9DuQ0AyLPbgPVJDQPx95yrC8EJAEJvm+mDJQ0CiAvqO0JxDQLJR1XwiLERAOW1VuqQuREBKjQro0fNEQKRY4hAZekRAzHx8l/GdRECAPyYLf6hEQHhv1zCS2kRA+BOxGHANRUBPgBeZmP9EQO44g6fT2ERA8X3TcwfWREB3JW+f+/FEQIRqjq1JBEZA4j66jGa2RUAPA4JxjJFFQE72dneaXUZAtTzqO/bsRUAzEugfGKlGQAdliUmLaEZAyvJdln3DRUCYabrV2rtFQF38BrcYV0VAY5EORSW6REBwn1o0m0VFQMoogcEqFURAmF/0/2LBQ0AIBc+BvHVDQEkz6ydiQ0NAuRkXu1V0Q0Bg6NtpqOdCQJv09jdvakJAQoLeNgj4QkAM+OxZG5hCQFPoZzij9UFAzPJPIkhgQkCHn1qEHwRCQIaCn8V/NUJAJpXds7tkQkB5II5aomhCQNtG3bRHQEJA2p5jFVhCQkD2EADlpWFBQJLQ+241Q0FAY+ITE9XCQUDWOem7SltCQDHc4GNfO0JAxzyMjIr2QkDbVh0CIq5DQOD7zPlTNERAYwNmKBF9RECYpmVfLT1EQBO1Ii1wt0NADe1R1krKQ0C69CvOMDJEQPAWMME7V0NAWrIRrRDXQkAuOHbfRZZCQAibnjtpdEJA93w2zragQkCC6lwJpAlDQJWFNwrF+UFAL+XHAwvNQkCJBYP9MLFBQNIHCLTTIEJAS2Gmmay6QkBW+GasSBJDQHxrt2KfhUJA168hzIz3QkB2Qu1pj7xDQCznpCAYQ0NAhc9ePIHUQkAhyNZ4bKRCQNfseFw8OUJAQjG/ccY9QUDIITWAwTxCQCDD2/2pnEJArHg/L4qGQkBSgmeHFfNBQIl5ujPhaUJAuhVnbHEYQkBXPHlg61BDQC9goQzAlERAm+DjUN2YREAwbiOiPqxEQFLrur6JQkRAwZEraxBBREBIY5FCqv1DQJQQkOXfUENAdquun2eXQ0C7Y0DrVq9DQL4WVNJqxkNAsf/ZvVt1Q0BztNxoENZCQPF/ioDgeUJA/mIRfhHzQkCJLzX0EMRCQCmIaCMJVkJAdWruoij+QUBKgruT13JBQKT51C3Jk0FAcTHJAqWPQECUaYF2CIdAQOmqzue1pkBAT2005N5fQUD6jyAN9ihBQNzF4fhNQ0BAYPmoaDoUQEA79pE7bLE+QCJT/TCfyT5AmsvxA37nP0BGWNRJtwxAQD0/d6Y8BUBAnOzWPvn5QEDi/JGxDyNBQM0xGVCvekBA6VJr7k20P0Di0O2Pj64/QCjy66RaUEBAds0ERsqyQEA=”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”B”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”C”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”D”:{”ndarray”:”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”,”dtype”:”float64”,”order”:”little”,”shape”:[1000]},”__x__values”: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%B %Y”],”hours”:[“%H:%M:%S”],”milliseconds”:[“%H:%M:%S.%f”],”minutes”:[“%H:%M:%S”],”months”:[“%d %B %Y”],”seconds”:[“%H:%M:%S”],”years”:[“%d %B %Y”]},”id”:”2572”,”type”:”DatetimeTickFormatter”}],”root_ids”:[“2574”]},”title”:”Bokeh Application”,”version”:”2.4.3”}}’; const render_items = [{“docid”:”00531fff-d3e2-44dc-844d-3d3159597bed”,”root_ids”:[“2574”],”roots”:{“2574”:”493161c2-8cef-484b-8cd6-1c698703af46”}}]; root.Bokeh.embed.embed_items(docs_json, render_items); } if (root.Bokeh !== undefined) { embed_document(root); } else { let attempts = 0; const timer = setInterval(function(root) { if (root.Bokeh !== undefined) { clearInterval(timer); embed_document(root); } else { attempts++; if (attempts > 100) { clearInterval(timer); console.log(“Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing”); } } }, 10, root) } })(window); }); }; if (document.readyState != “loading”) fn(); else document.addEventListener(“DOMContentLoaded”, fn); })();

Pointplot

If you just wish to draw the date points for curves, the pointplot option is the right choice. It also accepts the kwargs of bokeh.plotting.figure.scatter like marker or size:

import numpy as np

x = np.arange(-3, 3, 0.1)
y2 = x**2
y3 = x**3
df = pd.DataFrame({"x": x, "Parabula": y2, "Cube": y3})
df.plot_bokeh.point(
    x="x",
    xticks=range(-3, 4),
    size=5,
    colormap=["#009933", "#ff3399"],
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Stepplot

With a similar API as the line- & pointplots, one can generate a stepplot. Additional keyword arguments for this plot type are passes to bokeh.plotting.figure.step, e.g. mode (before, after, center), see the following example

import numpy as np

x = np.arange(-3, 3, 1)
y2 = x**2
y3 = x**3
df = pd.DataFrame({"x": x, "Parabula": y2, "Cube": y3})
df.plot_bokeh.step(
    x="x",
    xticks=range(-1, 1),
    colormap=["#009933", "#ff3399"],
    title="Pointplot (Parabula vs. Cube)",
    figsize=(800,300),
    fontsize_title=30,
    fontsize_label=25,
    fontsize_ticks=15,
    fontsize_legend=5,
    )

df.plot_bokeh.step(
    x="x",
    xticks=range(-1, 1),
    colormap=["#009933", "#ff3399"],
    title="Pointplot (Parabula vs. Cube)",
    mode="after",
    figsize=(800,300)
    )

<script type="text/javascript">
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Note that the step-plot API of Bokeh does so far not support a hovertool functionality.

Scatterplot

A basic scatterplot can be created using the kind=”scatter” option. For scatterplots, the x and y parameters have to be specified and the following optional keyword argument is allowed:

• category: Determines the category column to use for coloring the scatter points

• kwargs**: Optional keyword arguments of bokeh.plotting.figure.scatter

Note, that the pandas.DataFrame.plot_bokeh() method return per default a Bokeh figure, which can be embedded in Dashboard layouts with other figures and Bokeh objects (for more details about (sub)plot layouts and embedding the resulting Bokeh plots as HTML click here).

In the example below, we use the building grid layout support of Pandas-Bokeh to display both the DataFrame (using a Bokeh DataTable) and the resulting scatterplot:

# Load Iris Dataset:
df = pd.read_csv(
    r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/iris/iris.csv"
)
df = df.sample(frac=1)

# Create Bokeh-Table with DataFrame:
from bokeh.models.widgets import DataTable, TableColumn
from bokeh.models import ColumnDataSource

data_table = DataTable(
    columns=[TableColumn(field=Ci, title=Ci) for Ci in df.columns],
    source=ColumnDataSource(df),
    height=300,
)

# Create Scatterplot:
p_scatter = df.plot_bokeh.scatter(
    x="petal length (cm)",
    y="sepal width (cm)",
    category="species",
    title="Iris DataSet Visualization",
    show_figure=False,
)

# Combine Table and Scatterplot via grid layout:
pandas_bokeh.plot_grid([[data_table, p_scatter]], width=400, height=350)

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A possible optional keyword parameters that can be passed to bokeh.plotting.figure.scatter is size. Below, we use the sepal length of the Iris data as reference for the size:

#Change one value to clearly see the effect of the size keyword
df.loc[13, "sepal length (cm)"] = 15

#Make scatterplot:
p_scatter = df.plot_bokeh.scatter(
    x="petal length (cm)",
    y="sepal width (cm)",
    category="species",
    title="Iris DataSet Visualization with Size Keyword",
    size="sepal length (cm)")

In this example you can see, that the additional dimension sepal length cannot be used to clearly differentiate between the virginica and versicolor species.

Barplot

The barplot API has no special keyword arguments, but accepts optional kwargs of bokeh.plotting.figure.vbar like alpha. It uses per default the index for the bar categories (however, also columns can be used as x-axis category using the x argument).

data = {
    'fruits':
    ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries'],
    '2015': [2, 1, 4, 3, 2, 4],
    '2016': [5, 3, 3, 2, 4, 6],
    '2017': [3, 2, 4, 4, 5, 3]
}
df = pd.DataFrame(data).set_index("fruits")

p_bar = df.plot_bokeh.bar(
    ylabel="Price per Unit [€]", 
    title="Fruit prices per Year", 
    alpha=0.6)

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Using the stacked keyword argument you also maked stacked barplots:

p_stacked_bar = df.plot_bokeh.bar(
    ylabel="Price per Unit [€]",
    title="Fruit prices per Year",
    stacked=True,
    alpha=0.6)

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Also horizontal versions of the above barplot are supported with the keyword kind=”barh” or the accessor plot_bokeh.barh. You can still specify a column of the DataFrame as the bar category via the x argument if you do not wish to use the index.

#Reset index, such that "fruits" is now a column of the DataFrame:
df.reset_index(inplace=True)

#Create horizontal bar (via kind keyword):
p_hbar = df.plot_bokeh(
    kind="barh",
    x="fruits",
    xlabel="Price per Unit [€]",
    title="Fruit prices per Year",
    alpha=0.6,
    legend = "bottom_right",
    show_figure=False)

#Create stacked horizontal bar (via barh accessor):
p_stacked_hbar = df.plot_bokeh.barh(
    x="fruits",
    stacked=True,
    xlabel="Price per Unit [€]",
    title="Fruit prices per Year",
    alpha=0.6,
    legend = "bottom_right",
    show_figure=False)

#Plot all barplot examples in a grid:
pandas_bokeh.plot_grid([[p_bar, p_stacked_bar],
                        [p_hbar, p_stacked_hbar]], 
                       width=450)

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Histogram

For drawing histograms (kind=”hist”), Pandas-Bokeh has a lot of customization features. Optional keyword arguments for histogram plots are:

• bins: Determines bins to use for the histogram. If bins is an int, it defines the number of equal-width bins in the given range (10, by default). If bins is a sequence, it defines the bin edges, including the rightmost edge, allowing for non-uniform bin widths. If bins is a string, it defines the method used to calculate the optimal bin width, as defined by histogram_bin_edges.

• histogram_type: Either “sidebyside”, “topontop” or “stacked”. Default: “topontop”

• stacked: Boolean that overrides the histogram_type as “stacked” if given. Default: False

• kwargs**: Optional keyword arguments of bokeh.plotting.figure.quad

Below examples of the different histogram types:

import numpy as np

df_hist = pd.DataFrame({
    'a': np.random.randn(1000) + 1,
    'b': np.random.randn(1000),
    'c': np.random.randn(1000) - 1
    },
    columns=['a', 'b', 'c'])

#Top-on-Top Histogram (Default):
df_hist.plot_bokeh.hist(
    bins=np.linspace(-5, 5, 41),
    vertical_xlabel=True,
    hovertool=False,
    title="Normal distributions (Top-on-Top)",
    line_color="black")

#Side-by-Side Histogram (multiple bars share bin side-by-side) also accessible via
#kind="hist":
df_hist.plot_bokeh(
    kind="hist",
    bins=np.linspace(-5, 5, 41),
    histogram_type="sidebyside",
    vertical_xlabel=True,
    hovertool=False,
    title="Normal distributions (Side-by-Side)",
    line_color="black")

#Stacked histogram:
df_hist.plot_bokeh.hist(
    bins=np.linspace(-5, 5, 41),
    histogram_type="stacked",
    vertical_xlabel=True,
    hovertool=False,
    title="Normal distributions (Stacked)",
    line_color="black")

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Further, advanced keyword arguments for histograms are:

• weights: A column of the DataFrame that is used as weight for the histogramm aggregation (see also numpy.histogram)

• normed: If True, histogram values are normed to 1 (sum of histogram values=1). It is also possible to pass an integer, e.g. normed=100 would result in a histogram with percentage y-axis (sum of histogram values=100). Default: False

• cumulative: If True, a cumulative histogram is shown. Default: False

• show_average: If True, the average of the histogram is also shown. Default: False

Their usage is shown in these examples:

p_hist = df_hist.plot_bokeh.hist(
    y=["a", "b"],
    bins=np.arange(-4, 6.5, 0.5),
    normed=100,
    vertical_xlabel=True,
    ylabel="Share[%]",
    title="Normal distributions (normed)",
    show_average=True,
    xlim=(-4, 6),
    ylim=(0, 30),
    show_figure=False)

p_hist_cum = df_hist.plot_bokeh.hist(
    y=["a", "b"],
    bins=np.arange(-4, 6.5, 0.5),
    normed=100,
    cumulative=True,
    vertical_xlabel=True,
    ylabel="Share[%]",
    title="Normal distributions (normed & cumulative)",
    show_figure=False)

pandas_bokeh.plot_grid([[p_hist, p_hist_cum]], width=450, height=300)

Areaplot

Areaplot (kind=”area”) can be either drawn on top of each other or stacked. The important parameters are:

• stacked: If True, the areaplots are stacked. If False, plots are drawn on top of each other. Default: False

• kwargs**: Optional keyword arguments of bokeh.plotting.figure.patch

Let us consider the energy consumption split by source that can be downloaded as DataFrame via:

df_energy = pd.read_csv(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/energy/energy.csv", 
parse_dates=["Year"])
df_energy.head()

Year	Oil	Gas	Coal	Nuclear Energy	Hydroelectricity	Other Renewable
1970-01-01	2291.5	826.7	1467.3	17.7	265.8	5.8
1971-01-01	2427.7	884.8	1459.2	24.9	276.4	6.3
1972-01-01	2613.9	933.7	1475.7	34.1	288.9	6.8
1973-01-01	2818.1	978.0	1519.6	45.9	292.5	7.3
1974-01-01	2777.3	1001.9	1520.9	59.6	321.1	7.7

Creating the Areaplot can be achieved via:

df_energy.plot_bokeh.area(
    x="Year",
    stacked=True,
    legend="top_left",
    colormap=["brown", "orange", "black", "grey", "blue", "green"],
    title="Worldwide energy consumption split by energy source",
    ylabel="Million tonnes oil equivalent",
    ylim=(0, 16000))

Note that the energy consumption of fossile energy is still increasing and renewable energy sources are still small in comparison 😢!!! However, when we norm the plot using the normed keyword, there is a clear trend towards renewable energies in the last decade:

df_energy.plot_bokeh.area(
    x="Year",
    stacked=True,
    normed=100,
    legend="bottom_left",
    colormap=["brown", "orange", "black", "grey", "blue", "green"],
    title="Worldwide energy consumption split by energy source",
    ylabel="Million tonnes oil equivalent")

Pieplot

For Pieplots, let us consider a dataset showing the results of all Bundestags elections in Germany since 2002:

df_pie = pd.read_csv(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/Bundestagswahl/Bundestagswahl.csv")
df_pie

Partei	2002	2005	2009	2013	2017
CDU/CSU	38.5	35.2	33.8	41.5	32.9
SPD	38.5	34.2	23.0	25.7	20.5
FDP	7.4	9.8	14.6	4.8	10.7
Grünen	8.6	8.1	10.7	8.4	8.9
Linke/PDS	4.0	8.7	11.9	8.6	9.2
AfD	0.0	0.0	0.0	0.0	12.6
Sonstige	3.0	4.0	6.0	11.0	5.0

We can create a Pieplot of the last election in 2017 by specifying the “Partei” (german for party) column as the x column and the “2017” column as the y column for values:

df_pie.plot_bokeh.pie(
    x="Partei",
    y="2017",
    colormap=["blue", "red", "yellow", "green", "purple", "orange", "grey"],
    title="Results of German Bundestag Election 2017",
    )

When you pass several columns to the y parameter (not providing the y-parameter assumes you plot all columns), multiple nested pieplots will be shown in one plot:

df_pie.plot_bokeh.pie(
    x="Partei",
    colormap=["blue", "red", "yellow", "green", "purple", "orange", "grey"],
    title="Results of German Bundestag Elections [2002-2017]",
    line_color="grey")

Mapplot

The mapplot method of Pandas-Bokeh allows for plotting geographic points stored in a Pandas DataFrame on an interactive map. For more advanced Geoplots for line and polygon shapes have a look at the Geoplots examples for the GeoPandas API of Pandas-Bokeh.

For mapplots, only (latitude, longitude) pairs in geographic projection (WGS84) can be plotted on a map. The basic API has the following 2 base parameters:

• x: name of the longitude column of the DataFrame

• y: name of the latitude column of the DataFrame

The other optional keyword arguments are discussed in the section about the GeoPandas API, e.g. category for coloring the points.

Below an example of plotting all cities for more than 1 million inhabitants:

df_mapplot = pd.read_csv(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/populated%20places/populated_places.csv")
df_mapplot.head()

name	pop_max	latitude	longitude	size
Mesa	1085394	33.423915	-111.736084	1.085394
Sharjah	1103027	25.371383	55.406478	1.103027
Changwon	1081499	35.219102	128.583562	1.081499
Sheffield	1292900	53.366677	-1.499997	1.292900
Abbottabad	1183647	34.149503	73.199501	1.183647

df_mapplot["size"] = df_mapplot["pop_max"] / 1000000
df_mapplot.plot_bokeh.map(
    x="longitude",
    y="latitude",
    hovertool_string="""<h2> @{name} </h2> 
    
                        <h3> Population: @{pop_max} </h3>""",
    tile_provider="STAMEN_TERRAIN_RETINA",
    size="size", 
    figsize=(900, 600),
    title="World cities with more than 1.000.000 inhabitants")

Geoplots

Pandas-Bokeh also allows for interactive plotting of Maps using GeoPandas by providing a geopandas.GeoDataFrame.plot_bokeh() method. It allows to plot the following geodata on a map :

• Points/MultiPoints

• Lines/MultiLines

• Polygons/MultiPolygons

Note: t is not possible to mix up the objects types, i.e. a GeoDataFrame with Points and Lines is for example not allowed.

Les us start with a simple example using the “World Borders Dataset” . Let us first import all neccessary libraries and read the shapefile:

import geopandas as gpd
import pandas as pd
import pandas_bokeh
pandas_bokeh.output_notebook()

#Read in GeoJSON from URL:
df_states = gpd.read_file(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/states/states.geojson")
df_states.head()

STATE_NAME	REGION	POPESTIMATE2010	POPESTIMATE2011	POPESTIMATE2012	POPESTIMATE2013	POPESTIMATE2014	POPESTIMATE2015	POPESTIMATE2016	POPESTIMATE2017	geometry
Hawaii	4	1363817	1378323	1392772	1408038	1417710	1426320	1428683	1427538	(POLYGON ((-160.0738033454681 22.0041773479577...
Washington	4	6741386	6819155	6890899	6963410	7046931	7152818	7280934	7405743	(POLYGON ((-122.4020153103835 48.2252163723779...
Montana	4	990507	996866	1003522	1011921	1019931	1028317	1038656	1050493	POLYGON ((-111.4754253002074 44.70216236909688...
Maine	1	1327568	1327968	1328101	1327975	1328903	1327787	1330232	1335907	(POLYGON ((-69.77727626137293 44.0741483685119...
North Dakota	2	674518	684830	701380	722908	738658	754859	755548	755393	POLYGON ((-98.73043728833767 45.93827137024809...

Plotting the data on a map is as simple as calling:

df_states.plot_bokeh(simplify_shapes=10000)

We also passed the optional parameter simplify_shapes (~meter) to improve plotting performance (for a reference see shapely.object.simplify). The above geolayer thus has an accuracy of about 10km.

Many keyword arguments like xlabel, ylabel, xlim, ylim, title, colormap, hovertool, zooming, panning, … for costumizing the plot are also available for the geoplotting API and can be uses as in the examples shown above. There are however also many other options especially for plotting geodata:

• geometry_column: Specify the column that stores the geometry-information (default: “geometry”)

• hovertool_columns: Specify column names, for which values should be shown in hovertool

• hovertool_string: If specified, this string will be used for the hovertool (@{column} will be replaced by the value of the column for the element the mouse hovers over, see also Bokeh documentation)

• colormap_uselog: If set True, the colormapper is using a logscale. Default: False

• colormap_range: Specify the value range of the colormapper via (min, max) tuple

• tile_provider: Define build-in tile provider for background maps. Possible values: None, ‘CARTODBPOSITRON’, ‘CARTODBPOSITRON_RETINA’, ‘STAMEN_TERRAIN’, ‘STAMEN_TERRAIN_RETINA’, ‘STAMEN_TONER’, ‘STAMEN_TONER_BACKGROUND’, ‘STAMEN_TONER_LABELS’. Default: CARTODBPOSITRON_RETINA

• tile_provider_url: An arbitraty tile_provider_url of the form ‘/{Z}/{X}/{Y}*.png’ can be passed to be used as background map.

• tile_attribution: String (also HTML accepted) for showing attribution for tile source in the lower right corner

• tile_alpha: Sets the alpha value of the background tile between [0, 1]. Default: 1

One of the most common usage of map plots are choropleth maps, where the color of a the objects is determined by the property of the object itself. There are 3 ways of drawing choropleth maps using Pandas-Bokeh, which are described below.

Categories

This is the simplest way. Just provide the category keyword for the selection of the property column:

• category: Specifies the column of the GeoDataFrame that should be used to draw a choropleth map

• show_colorbar: Whether or not to show a colorbar for categorical plots. Default: True

Let us now draw the regions as a choropleth plot using the category keyword (at the moment, only numerical columns are supported for choropleth plots):

df_states.plot_bokeh(
    figsize=(900, 600),
    simplify_shapes=5000,
    category="REGION",
    show_colorbar=False,
    colormap=["blue", "yellow", "green", "red"],
    hovertool_columns=["STATE_NAME", "REGION"],
    tile_provider="STAMEN_TERRAIN_RETINA")

When hovering over the states, the state-name and the region are shown as specified in the hovertool_columns argument.

Dropdown

By passing a list of column names of the GeoDataFrame as the dropdown keyword argument, a dropdown menu is shown above the map. This dropdown menu can be used to select the choropleth layer by the user. :

df_states["STATE_NAME_SMALL"] = df_states["STATE_NAME"].str.lower()

df_states.plot_bokeh(
    figsize=(900, 600),
    simplify_shapes=5000,
    dropdown=["POPESTIMATE2010", "POPESTIMATE2017"],
    colormap="Viridis",
    hovertool_string="""
                        <img
                        src="https://www.states101.com/img/flags/gif/small/@STATE_NAME_SMALL.gif" 
                        height="42" alt="@imgs" width="42"
                        style="float: left; margin: 0px 15px 15px 0px;"
                        border="2"></img>
                
                        <h2>  @STATE_NAME </h2>
                        <h3> 2010: @POPESTIMATE2010 </h3>
                        <h3> 2017: @POPESTIMATE2017 </h3>""",
    tile_provider_url=r"http://c.tile.stamen.com/watercolor/{Z}/{X}/{Y}.jpg",
    tile_attribution='Map tiles by <a href="http://stamen.com">Stamen Design</a>, under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>. Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a href="http://www.openstreetmap.org/copyright">ODbL</a>.'
    )

Using hovertool_string, one can pass a string that can contain arbitrary HTML elements (including divs, images, …) that is shown when hovering over the geographies (@{column} will be replaced by the value of the column for the element the mouse hovers over, see also Bokeh documentation).

Here, we also used an OSM tile server with watercolor style via tile_provider_url and added the attribution via tile_attribution.

Sliders

Another option for interactive choropleth maps is the slider implementation of Pandas-Bokeh. The possible keyword arguments are here:

• slider: By passing a list of column names of the GeoDataFrame, a slider can be used to . This dropdown menu can be used to select the choropleth layer by the user.

• slider_range: Pass a range (or numpy.arange) of numbers object to relate the sliders values with the slider columns. By passing range(0,10), the slider will have values [0, 1, 2, …, 9], when passing numpy.arange(3,5,0.5), the slider will have values [3, 3.5, 4, 4.5]. Default: range(0, len(slider))

• slider_name: Specifies the title of the slider. Default is an empty string.

This can be used to display the change in population relative to the year 2010:

#Calculate change of population relative to 2010:
for i in range(8):
    df_states["Delta_Population_201%d"%i] = ((df_states["POPESTIMATE201%d"%i] / df_states["POPESTIMATE2010"]) -1 ) * 100

#Specify slider columns:
slider_columns = ["Delta_Population_201%d"%i for i in range(8)]

#Specify slider-range (Maps "Delta_Population_2010" -> 2010, 
#                           "Delta_Population_2011" -> 2011, ...):
slider_range = range(2010, 2018)

#Make slider plot:
df_states.plot_bokeh(
    figsize=(900, 600),
    simplify_shapes=5000,
    slider=slider_columns,
    slider_range=slider_range,
    slider_name="Year", 
    colormap="Inferno",
    hovertool_columns=["STATE_NAME"] + slider_columns,
    title="Change of Population [%]")

Plot multiple geolayers

If you wish to display multiple geolayers, you can pass the Bokeh figure of a Pandas-Bokeh plot via the figure keyword to the next plot_bokeh() call:

import geopandas as gpd
import pandas_bokeh
pandas_bokeh.output_notebook()

# Read in GeoJSONs from URL:
df_states = gpd.read_file(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/states/states.geojson")
df_cities = gpd.read_file(
    r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/populated%20places/ne_10m_populated_places_simple_bigcities.geojson"
)
df_cities["size"] = df_cities.pop_max / 400000

#Plot shapes of US states (pass figure options to this initial plot):
figure = df_states.plot_bokeh(
    figsize=(800, 450),
    simplify_shapes=10000,
    show_figure=False,
    xlim=[-170, -80],
    ylim=[10, 70],
    category="REGION",
    colormap="Dark2",
    legend="States",
    show_colorbar=False,
)

#Plot cities as points on top of the US states layer by passing the figure:
df_cities.plot_bokeh(
    figure=figure,         # <== pass figure here!
    category="pop_max",
    colormap="Viridis",
    colormap_uselog=True,
    size="size",
    hovertool_string="""<h1>@name</h1>
                        <h3>Population: @pop_max </h3>""",
    marker="inverted_triangle",
    legend="Cities",
)

---

Point & Line plots:

Below, you can see an example that use Pandas-Bokeh to plot point data on a map. The plot shows all cities with a population larger than 1.000.000. For point plots, you can select the marker as keyword argument (since it is passed to bokeh.plotting.figure.scatter). Here an overview of all available marker types:

gdf = gpd.read_file(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/populated%20places/ne_10m_populated_places_simple_bigcities.geojson")
gdf["size"] = gdf.pop_max / 400000

gdf.plot_bokeh(
    category="pop_max",
    colormap="Viridis",
    colormap_uselog=True,
    size="size",
    hovertool_string="""<h1>@name</h1>
                        <h3>Population: @pop_max </h3>""",
    xlim=[-15, 35],
    ylim=[30,60],
    marker="inverted_triangle");

In a similar way, also GeoDataFrames with (multi)line shapes can be drawn using Pandas-Bokeh.

---

Colorbar formatting:

If you want to display the numerical labels on your colorbar with an alternative to the scientific format, you can pass in a one of the bokeh number string formats or an instance of one of the bokeh.models.formatters to the colorbar_tick_format argument in the geoplot

An example of using the string format argument:

df_states = gpd.read_file(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/states/states.geojson")

df_states["STATE_NAME_SMALL"] = df_states["STATE_NAME"].str.lower()

# pass in a string format to colorbar_tick_format to display the ticks as 10m rather than 1e7
df_states.plot_bokeh(
    figsize=(900, 600),
    category="POPESTIMATE2017",
    simplify_shapes=5000,    
    colormap="Inferno",
    colormap_uselog=True,
    colorbar_tick_format="0.0a")

An example of using the bokeh PrintfTickFormatter:

df_states = gpd.read_file(r"https://raw.githubusercontent.com/PatrikHlobil/Pandas-Bokeh/master/docs/Testdata/states/states.geojson")

df_states["STATE_NAME_SMALL"] = df_states["STATE_NAME"].str.lower()

for i in range(8):
    df_states["Delta_Population_201%d"%i] = ((df_states["POPESTIMATE201%d"%i] / df_states["POPESTIMATE2010"]) -1 ) * 100

# pass in a PrintfTickFormatter instance colorbar_tick_format to display the ticks with 2 decimal places  
df_states.plot_bokeh(
    figsize=(900, 600),
    category="Delta_Population_2017",
    simplify_shapes=5000,    
    colormap="Inferno",
    colorbar_tick_format=PrintfTickFormatter(format="%4.2f"))

Outputs, Formatting & Layouts

Output options

The pandas.DataFrame.plot_bokeh API has the following additional keyword arguments:

• show_figure: If True, the resulting figure is shown (either in the notebook or exported and shown as HTML file, see Basics. If False, None is returned. Default: True

• return_html: If True, the method call returns an HTML string that contains all Bokeh CSS&JS resources and the figure embedded in a div. This HTML representation of the plot can be used for embedding the plot in an HTML document. Default: False

If you have a Bokeh figure or layout, you can also use the pandas_bokeh.embedded_html function to generate an embeddable HTML representation of the plot. This can be included into any valid HTML (note that this is not possible directly with the HTML generated by the pandas_bokeh.output_file output option, because it includes an HTML header). Let us consider the following simple example:

#Import Pandas and Pandas-Bokeh (if you do not specify an output option, the standard is
#output_file):
import pandas as pd
import pandas_bokeh

#Create DataFrame to Plot:
import numpy as np
x = np.arange(-10, 10, 0.1)
sin = np.sin(x)
cos = np.cos(x)
tan = np.tan(x)
df = pd.DataFrame({"x": x, "sin(x)": sin, "cos(x)": cos, "tan(x)": tan})

#Make Bokeh plot from DataFrame using Pandas-Bokeh. Do not show the plot, but export
#it to an embeddable HTML string:
html_plot = df.plot_bokeh(
    kind="line",
    x="x",
    y=["sin(x)", "cos(x)", "tan(x)"],
    xticks=range(-20, 20),
    title="Trigonometric functions",
    show_figure=False,
    return_html=True,
    ylim=(-1.5, 1.5))

#Write some HTML and embed the HTML plot below it. For production use, please use
#Templates and the awesome Jinja library.
html = r"""
<script type="text/x-mathjax-config">
  MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}});
</script>
<script type="text/javascript"
  src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script>

<h1> Trigonometric functions </h1>

<p> The basic trigonometric functions are:</p>

<p>$ sin(x) $</p>
<p>$ cos(x) $</p>
<p>$ tan(x) = \frac{sin(x)}{cos(x)}$</p>

<p>Below is a plot that shows them</p>

""" + html_plot

#Export the HTML string to an external HTML file and show it:
with open("test.html" , "w") as f:
    f.write(html)
    
import webbrowser
webbrowser.open("test.html")

This code will open up a webbrowser and show the following page. As you can see, the interactive Bokeh plot is embedded nicely into the HTML layout. The return_html option is ideal for the use in a templating engine like Jinja.

Auto Scaling Plots

For single plots that have a number of x axis values or for larger monitors, you can auto scale the figure to the width of the entire jupyter cell by setting the sizing_mode parameter.

df = pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd'])

df.plot_bokeh(kind="bar", figsize=(500, 200), sizing_mode="scale_width")

The figsize parameter can be used to change the height and width as well as act as a scaling multiplier against the axis that is not being scaled.

Number formats

To change the formats of numbers in the hovertool, use the number_format keyword argument. For a documentation about the format to pass, have a look at the Bokeh documentation.Let us consider some examples for the number 3.141592653589793:

Format	Output
0	3
0.000	3.141
0.00 $	3.14 $

This number format will be applied to all numeric columns of the hovertool. If you want to make a very custom or complicated hovertool, you should probably use the hovertool_string keyword argument, see e.g. this example. Below, we use the number_format parameter to specify the “Stock Price” format to 2 decimal digits and an additional $ sign.

import numpy as np

#Lineplot:
np.random.seed(42)
df = pd.DataFrame({
    "Google": np.random.randn(1000) + 0.2,
    "Apple": np.random.randn(1000) + 0.17
},
                  index=pd.date_range('1/1/2000', periods=1000))
df = df.cumsum()
df = df + 50
df.plot_bokeh(
    kind="line",
    title="Apple vs Google",
    xlabel="Date",
    ylabel="Stock price [$]",
    yticks=[0, 100, 200, 300, 400],
    ylim=(0, 400),
    colormap=["red", "blue"],
    number_format="1.00 $")

Suppress scientific notation for axes

If you want to suppress the scientific notation for axes, you can use the disable_scientific_axes parameter, which accepts one of “x”, “y”, “xy”:

df = pd.DataFrame({"Animal": ["Mouse", "Rabbit", "Dog", "Tiger", "Elefant", "Wale"],
                   "Weight [g]": [19, 3000, 40000, 200000, 6000000, 50000000]})
p_scientific = df.plot_bokeh(x="Animal", y="Weight [g]", show_figure=False)
p_non_scientific = df.plot_bokeh(x="Animal", y="Weight [g]", disable_scientific_axes="y", show_figure=False,)
pandas_bokeh.plot_grid([[p_scientific, p_non_scientific]], width = 450)

Dashboard Layouts

As shown in the Scatterplot Example, combining plots with plots or other HTML elements is straighforward in Pandas-Bokeh due to the layout capabilities of Bokeh. The easiest way to generate a dashboard layout is using the pandas_bokeh.plot_grid method (which is an extension of bokeh.layouts.gridplot):

import pandas as pd
import numpy as np
import pandas_bokeh
pandas_bokeh.output_notebook()

#Barplot:
data = {
    'fruits':
    ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries'],
    '2015': [2, 1, 4, 3, 2, 4],
    '2016': [5, 3, 3, 2, 4, 6],
    '2017': [3, 2, 4, 4, 5, 3]
}
df = pd.DataFrame(data).set_index("fruits")
p_bar = df.plot_bokeh(
    kind="bar",
    ylabel="Price per Unit [€]",
    title="Fruit prices per Year",
    show_figure=False)

#Lineplot:
np.random.seed(42)
df = pd.DataFrame({
    "Google": np.random.randn(1000) + 0.2,
    "Apple": np.random.randn(1000) + 0.17
},
                  index=pd.date_range('1/1/2000', periods=1000))
df = df.cumsum()
df = df + 50
p_line = df.plot_bokeh(
    kind="line",
    title="Apple vs Google",
    xlabel="Date",
    ylabel="Stock price [$]",
    yticks=[0, 100, 200, 300, 400],
    ylim=(0, 400),
    colormap=["red", "blue"],
    show_figure=False)

#Scatterplot:
from sklearn.datasets import load_iris
iris = load_iris()
df = pd.DataFrame(iris["data"])
df.columns = iris["feature_names"]
df["species"] = iris["target"]
df["species"] = df["species"].map(dict(zip(range(3), iris["target_names"])))
p_scatter = df.plot_bokeh(
    kind="scatter",
    x="petal length (cm)",
    y="sepal width (cm)",
    category="species",
    title="Iris DataSet Visualization",
    show_figure=False)

#Histogram:
df_hist = pd.DataFrame({
    'a': np.random.randn(1000) + 1,
    'b': np.random.randn(1000),
    'c': np.random.randn(1000) - 1
},
                       columns=['a', 'b', 'c'])

p_hist = df_hist.plot_bokeh(
    kind="hist",
    bins=np.arange(-6, 6.5, 0.5),
    vertical_xlabel=True,
    normed=100,
    hovertool=False,
    title="Normal distributions",
    show_figure=False)

#Make Dashboard with Grid Layout:
pandas_bokeh.plot_grid([[p_line, p_bar], 
                        [p_scatter, p_hist]], width=450)

Using a combination of row and column elements (see also Bokeh Layouts) allow for a very easy general arrangement of elements. An alternative layout to the one above is:

p_line.width = 900
p_hist.width = 900

layout = pandas_bokeh.column(p_line,
                pandas_bokeh.row(p_scatter, p_bar),
                p_hist)

pandas_bokeh.show(layout)

---

Release Notes

Release Notes can be found here.

Contributing to Pandas-Bokeh

If you wish to contribute to the development of Pandas-Bokeh you can follow the instructions on the CONTRIBUTING.md.