From 5632ffe9ec9b0b34b7569cead8569bd5fa2fbf70 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:43:45 +0200 Subject: [PATCH 01/19] Fixed tutorial 1 and 2 --- src/maxplotlib/canvas/canvas.py | 1 + src/maxplotlib/subfigure/tikz_figure.py | 2 +- tutorials/tutorial_01.ipynb | 1959 +++++++++++++++++++++ tutorials/tutorial_02.ipynb | 120 +- tutorials/tutorial_1.ipynb | 2148 ----------------------- 5 files changed, 1996 insertions(+), 2234 deletions(-) create mode 100644 tutorials/tutorial_01.ipynb delete mode 100644 tutorials/tutorial_1.ipynb diff --git a/src/maxplotlib/canvas/canvas.py b/src/maxplotlib/canvas/canvas.py index 063ea82..d3864ab 100644 --- a/src/maxplotlib/canvas/canvas.py +++ b/src/maxplotlib/canvas/canvas.py @@ -205,6 +205,7 @@ def plot_matplotlib(self, show=True, savefig=False, layers=None, usetex=False): for (row, col), subplot in self.subplots.items(): ax = axes[row][col] + print(f"{subplot = }") subplot.plot_matplotlib(ax, layers=layers) # ax.set_title(f"Subplot ({row}, {col})") ax.grid() diff --git a/src/maxplotlib/subfigure/tikz_figure.py b/src/maxplotlib/subfigure/tikz_figure.py index 39a9578..7d1a08a 100644 --- a/src/maxplotlib/subfigure/tikz_figure.py +++ b/src/maxplotlib/subfigure/tikz_figure.py @@ -359,7 +359,7 @@ def compile_pdf(self, filename="output.pdf"): else: print("PDF compilation failed. Please check the LaTeX log for details.") - def plot_matplotlib(self, ax): + def plot_matplotlib(self, ax, layers=None): """ Plot all nodes and paths on the provided axis using Matplotlib. diff --git a/tutorials/tutorial_01.ipynb b/tutorials/tutorial_01.ipynb new file mode 100644 index 0000000..cee976c --- /dev/null +++ b/tutorials/tutorial_01.ipynb @@ -0,0 +1,1959 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "74a7f750-f40c-482a-a84d-a16f48c86a8a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], + "source": [ + "import maxplotlib.canvas.canvas as canvas\n", + "\n", + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2832f246-ff56-4a9f-bc1d-8cc0452f99c4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "subplot = \n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c = canvas.Canvas(width=\"17cm\", ratio=0.5, fontsize=12)\n", + "sp = c.add_subplot(\n", + " grid=True, xlabel=\"(x - 10) * 0.1\", ylabel=\"10y\", yscale=10, xshift=-10, xscale=0.1\n", + ")\n", + "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\")\n", + "sp.add_line([0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\")\n", + "c.plot()\n", + "c.savefig(filename='tutorial_01_01.pdf')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9e18e6a2-820b-4f72-ab44-02676f463d2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "subplot = \n", + "subplot = \n", + "subplot = \n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "dash": "solid" + }, + "mode": "lines", + "name": "Line 1", + "type": "scatter", + "x": { + "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAAABAAAAAAAAACEA=", + "dtype": "f8" + }, + "xaxis": "x", + "y": { + "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAABBAAAAAAAAAIkA=", + "dtype": "f8" + }, + "yaxis": "y" + }, + { + "line": { + "color": "red", + "dash": "dash" + }, + "mode": "lines", + "name": "Line 2", + "type": "scatter", + "x": { + "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAAABAAAAAAAAACEA=", + "dtype": "f8" + }, + "xaxis": "x4", + "y": { + "bdata": "AAAAAAAAAAAAAAAAAAAAQAAAAAAAAAhAAAAAAAAAEEA=", + "dtype": "f8" + }, + "yaxis": "y4" + } + ], + "layout": { + "annotations": [ + { + "font": { + "size": 16 + }, + "showarrow": false, + "text": "Subplot (0, 0)", + "x": 0.225, + "xanchor": "center", + "xref": "paper", + "y": 1, + "yanchor": "bottom", + "yref": "paper" + }, + { + "font": { + "size": 16 + }, + "showarrow": false, + "text": "Subplot (1, 0)", + "x": 0.775, + "xanchor": "center", + "xref": "paper", + "y": 1, + "yanchor": "bottom", + "yref": "paper" + }, + { + "font": { + "size": 16 + }, + "showarrow": false, + "text": "Subplot (1, 1)", + "x": 0.225, + "xanchor": "center", + "xref": "paper", + "y": 0.375, + "yanchor": "bottom", + "yref": "paper" + } + ], + "font": { + "size": 14 + }, + "margin": { + "b": 10, + "l": 10, + "r": 10, + "t": 40 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermap": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermap" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 0.45 + ] + }, + "xaxis2": { + "anchor": "y2", + "domain": [ + 0.55, + 1 + ] + }, + "xaxis3": { + "anchor": "y3", + "domain": [ + 0, + 0.45 + ] + }, + "xaxis4": { + "anchor": "y4", + "domain": [ + 0.55, + 1 + ] + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0.625, + 1 + ] + }, + "yaxis2": { + "anchor": "x2", + "domain": [ + 0.625, + 1 + ] + }, + "yaxis3": { + "anchor": "x3", + "domain": [ + 0, + 0.375 + ] + }, + "yaxis4": { + "anchor": "x4", + "domain": [ + 0, + 0.375 + ] + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "c = canvas.Canvas(width=\"17cm\", ncols=2, nrows=2, ratio=0.5)\n", + "sp = c.add_subplot(grid=True)\n", + "c.add_subplot(row=1)\n", + "sp2 = c.add_subplot(row=1, legend=False)\n", + "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\")\n", + "sp2.add_line(\n", + " [0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\"\n", + ")\n", + "c.plot(backend=\"matplotlib\")\n", + "c.plot(backend=\"plotly\")\n", + "c.savefig(filename=\"tutorial_01_02.pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f78f5dc1-320e-44ad-98b7-0e0458f4ce03", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "subplot = \n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "dash": "solid" + }, + "mode": "lines", + "name": "Line 1", + "type": "scatter", + "x": { + "bdata": "AAAAAAAA8L/NzMzMzMzsv5qZmZmZmem/Z2ZmZmZm5r8=", + "dtype": "f8" + }, + "xaxis": "x", + "y": { + "bdata": "AAAAAAAAAAAAAAAAAAAkQAAAAAAAAERAAAAAAACAVkA=", + "dtype": "f8" + }, + "yaxis": "y" + }, + { + "line": { + "color": "red", + "dash": "dash" + }, + "mode": "lines", + "name": "Line 2", + "type": "scatter", + "x": { + "bdata": "AAAAAAAA8L/NzMzMzMzsv5qZmZmZmem/Z2ZmZmZm5r8=", + "dtype": "f8" + }, + "xaxis": "x", + "y": { + "bdata": "AAAAAAAAAAAAAAAAAAA0QAAAAAAAAD5AAAAAAAAAREA=", + "dtype": "f8" + }, + "yaxis": "y" + } + ], + "layout": { + "annotations": [ + { + "font": { + "size": 16 + }, + "showarrow": false, + "text": "Subplot (0, 0)", + "x": 0.5, + "xanchor": "center", + "xref": "paper", + "y": 1, + "yanchor": "bottom", + "yref": "paper" + } + ], + "font": { + "size": 14 + }, + "margin": { + "b": 10, + "l": 10, + "r": 10, + "t": 40 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermap": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermap" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ] + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ] + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Test with plotly backend\n", + "c = canvas.Canvas(width=\"17cm\", ratio=0.5)\n", + "sp = c.add_subplot(\n", + " grid=True, xlabel=\"x (mm)\", ylabel=\"10y\", yscale=10, xshift=-10, xscale=0.1\n", + ")\n", + "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\", linestyle=\"-.\")\n", + "sp.add_line([0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\")\n", + "c.plot(backend=\"matplotlib\")\n", + "c.plot(backend=\"plotly\")\n", + "c.savefig(filename=\"tutorial_01_03.pdf\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env_maxplotlib", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tutorial_02.ipynb b/tutorials/tutorial_02.ipynb index 920c2ed..32a6906 100644 --- a/tutorials/tutorial_02.ipynb +++ b/tutorials/tutorial_02.ipynb @@ -2,14 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "id": "3816e8ed-5107-4d8c-9e78-f801af118811", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "import maxplotlib.canvas.canvas as canvas\n", - "from IPython.display import IFrame\n", - "from wand.image import Image as WImage\n", "\n", "%load_ext autoreload\n", "%autoreload 2" @@ -17,28 +24,7 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "2b9c7ee3-daa4-4178-9aff-500feef30f12", - "metadata": {}, - "outputs": [], - "source": [ - "class PDF(object):\n", - " def __init__(self, pdf, size=(200, 200)):\n", - " self.pdf = pdf\n", - " self.size = size\n", - "\n", - " def _repr_html_(self):\n", - " return \"\".format(\n", - " self.pdf, self.size\n", - " )\n", - "\n", - " def _repr_latex_(self):\n", - " return r\"\\includegraphics[width=1.0\\textwidth]{{{0}}}\".format(self.pdf)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "id": "650f0afa-f719-4495-b020-fc2b2df36bd7", "metadata": {}, "outputs": [ @@ -46,7 +32,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "PDF successfully compiled and saved as 'my_figure.pdf'.\n" + "PDF successfully compiled and saved as 'tutorial_02_01.pdf'.\n" ] } ], @@ -73,32 +59,37 @@ "\n", "tikz.add_node(0.5, 0.5, content=\"Cube\", layer=10)\n", "\n", - "# Generate the TikZ script\n", - "# script = tikz.generate_tikz()\n", - "# print(script)\n", - "# print(tikz.generate_standalone())\n", - "tikz.compile_pdf(\"my_figure.pdf\")\n", + "tikz.compile_pdf(\"tutorial_02_01.pdf\")\n", "#" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "id": "344589d9-c60f-4d01-8171-e35db585f1ad", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Ignoring fixed y limits to fulfill fixed data aspect with adjustable data limits.\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "PDF successfully compiled and saved as 'my_figure.pdf'.\n" + "PDF successfully compiled and saved as 'tutorial_02_02.pdf'.\n", + "subplot = \n", + "subplot = \n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -107,18 +98,18 @@ { "data": { "text/plain": [ - "(
,\n", + "(
,\n", " array([[, ]],\n", " dtype=object))" ] }, - "execution_count": 6, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "c = canvas.Canvas(ncols=2, width=2000, ratio=0.5)\n", + "c = canvas.Canvas(ncols=2, width=\"20cm\", ratio=0.5)\n", "tikz = c.add_tikzfigure(grid=False)\n", "\n", "# Add nodes\n", @@ -156,15 +147,14 @@ "# Generate the TikZ script\n", "# print(tikz.generate_standalone())\n", "\n", - "tikz.compile_pdf(\"my_figure.pdf\")\n", + "tikz.compile_pdf(\"tutorial_02_02.pdf\")\n", "\n", - "# Replace 'path_to_pdf' with the path to your PDF file\n", "c.plot(backend=\"matplotlib\")" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "id": "7c37d9b8-256b-4907-9c95-288b18cb396d", "metadata": {}, "outputs": [ @@ -189,19 +179,8 @@ "\\end{tikzpicture}\n", "\n", "\\end{document}\n", - "PDF successfully compiled and saved as 'my_figure.pdf'.\n" + "PDF successfully compiled and saved as 'tutorial_02_03.pdf'.\n" ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -220,37 +199,8 @@ "# script = tikz.generate_tikz()\n", "# print(script)\n", "print(tikz.generate_standalone())\n", - "tikz.compile_pdf(\"my_figure.pdf\")\n", - "\n", - "img = WImage(filename=\"my_figure.pdf\")\n", - "img" + "tikz.compile_pdf(\"tutorial_02_03.pdf\")\n" ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "3081683f-8f1e-47ad-83bd-5a38899dde33", - "metadata": {}, - "outputs": [], - "source": [ - "# PDF('my_figure.pdf',size=(600,250))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d240c0e4-8ccc-4b0a-94d7-625a84a53b11", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "acc878ff-1c09-4f24-9135-199bd45675ae", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -269,7 +219,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.20" + "version": "3.13.3" } }, "nbformat": 4, diff --git a/tutorials/tutorial_1.ipynb b/tutorials/tutorial_1.ipynb deleted file mode 100644 index c3b0b34..0000000 --- a/tutorials/tutorial_1.ipynb +++ /dev/null @@ -1,2148 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "74a7f750-f40c-482a-a84d-a16f48c86a8a", - "metadata": {}, - "outputs": [], - "source": [ - "import maxplotlib.canvas.canvas as canvas\n", - "\n", - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "2832f246-ff56-4a9f-bc1d-8cc0452f99c4", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(
,\n", - " array([[]], dtype=object))" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c = canvas.Canvas(width=\"17cm\", ratio=0.5, fontsize=12)\n", - "sp = c.add_subplot(\n", - " grid=True, xlabel=\"(x - 10) * 0.1\", ylabel=\"10y\", yscale=10, xshift=-10, xscale=0.1\n", - ")\n", - "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\")\n", - "sp.add_line([0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\")\n", - "c.plot()\n", - "# c.savefig(filename='plot_00.pdf')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e18e6a2-820b-4f72-ab44-02676f463d2e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3000 3000 1500.0\n" - ] - }, - { - "data": { - "text/html": [ - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "line": { - "dash": "solid" - }, - "mode": "lines", - "name": "Line 1", - "type": "scatter", - "x": [ - 0, - 1, - 2, - 3 - ], - "xaxis": "x", - "y": [ - 0, - 1, - 4, - 9 - ], - "yaxis": "y" - }, - { - "line": { - "color": "red", - "dash": "dash" - }, - "mode": "lines", - "name": "Line 2", - "type": "scatter", - "x": [ - 0, - 1, - 2, - 3 - ], - "xaxis": "x4", - "y": [ - 0, - 2, - 3, - 4 - ], - "yaxis": "y4" - } - ], - "layout": { - "annotations": [ - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (0, 0)", - "x": 0.225, - "xanchor": "center", - "xref": "paper", - "y": 1, - "yanchor": "bottom", - "yref": "paper" - }, - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (1, 0)", - "x": 0.775, - "xanchor": "center", - "xref": "paper", - "y": 1, - "yanchor": "bottom", - "yref": "paper" - }, - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (1, 1)", - "x": 0.225, - "xanchor": "center", - "xref": "paper", - "y": 0.375, - "yanchor": "bottom", - "yref": "paper" - } - ], - "font": { - "size": 14 - }, - "margin": { - "b": 10, - "l": 10, - "r": 10, - "t": 40 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 0.45 - ] - }, - "xaxis2": { - "anchor": "y2", - "domain": [ - 0.55, - 1 - ] - }, - "xaxis3": { - "anchor": "y3", - "domain": [ - 0, - 0.45 - ] - }, - "xaxis4": { - "anchor": "y4", - "domain": [ - 0.55, - 1 - ] - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0.625, - 1 - ] - }, - "yaxis2": { - "anchor": "x2", - "domain": [ - 0.625, - 1 - ] - }, - "yaxis3": { - "anchor": "x3", - "domain": [ - 0, - 0.375 - ] - }, - "yaxis4": { - "anchor": "x4", - "domain": [ - 0, - 0.375 - ] - } - } - }, - "image/png": "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", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "c = canvas.Canvas(ncols=2, nrows=2, width=3000, ratio=0.5)\n", - "sp = c.add_subplot(grid=True)\n", - "c.add_subplot(row=1)\n", - "sp2 = c.add_subplot(row=1, legend=False)\n", - "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\")\n", - "sp2.add_line(\n", - " [0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\"\n", - ")\n", - "c.plot(backend=\"matplotlib\")\n", - "c.plot(backend=\"plotly\")\n", - "c.savefig(filename=\"plot_01.pdf\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f78f5dc1-320e-44ad-98b7-0e0458f4ce03", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAC3YAAAWaCAYAAAANOBQLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAC4jAAAuIwF4pT92AAEAAElEQVR4nOz9e3ic5X0n/n8kWZZlWWIQYMBAAjJgJ3ZCkA05NGziILfdtGnaVIJA291ut5b6bRKySVq77Hf7S9vdLZWbpi0lbWW2u9t+txCQtpvdJulBSp00adqALQOxE04ecuSMGCzLsixp5vcH66nlgyTbep5HGr1e1+Urumfumfk8FszbDu+5VVUqlUoBAAAAAAAAAAAAAEBmqrMeAAAAAAAAAAAAAABgsVPsBgAAAAAAAAAAAADImGI3AAAAAAAAAAAAAEDGFLsBAAAAAAAAAAAAADKm2A0AAAAAAAAAAAAAkDHFbgAAAAAAAAAAAACAjCl2AwAAAAAAAAAAAABkTLEbAAAAAAAAAAAAACBjit0AAAAAAAAAAAAAABlT7AYAAAAAAAAAAAAAyJhiNwAAAAAAAAAAAABAxhS7AQAAAAAAAAAAAAAyptgNAAAAAAAAAAAAAJAxxW4AAAAAAAAAAAAAgIwpdgMAAAAAAAAAAAAAZEyxGwAAAAAAAAAAAAAgY4rdAAAAAAAAAAAAAAAZU+wGAAAAAAAAAAAAAMiYYjcAAAAAAAAAAAAAQMYUuwEAAAAAAAAAAAAAMqbYDQAAAAAAAAAAAACQMcVuAAAAAAAAAAAAAICMKXYDAAAAAAAAAAAAAGRMsRsAAAAAAAAAAAAAIGOK3QAAAAAAAAAAAAAAGVPsBgAAAAAAAAAAAADImGI3AAAAAAAAAAAAAEDGlmQ9AKSlUCjEl770pfL6sssui7q6ugwnAgAAAAAAAAAAAGC+GBsbi+9+97vl9Tve8Y7I5XKpvb5iN4vGl770pfjxH//xrMcAAAAAAAAAAAAAYAH4zGc+E+9973tTe73q1F4JAAAAAAAAAAAAAICTUuwGAAAAAAAAAAAAAMjYkqwHgLRcdtllU9af+cxn4sorr8xoGpJ08ODBeOCBB8rr66+/PlasWJHhRABUGlkDQBrkDQBJkzUApEHeAJA0WQNAGuTN4vHkk0/Gj//4j5fXx3dPk6bYzaJRV1c3ZX3llVfGunXrMpqGJB04cCCeffbZ8vp1r3tdNDU1ZTgRAJVG1gCQBnkDQNJkDQBpkDcAJE3WAJAGebN4Hd89TZpiN1Bx6uvrY+PGjVPWADCXZA0AaZA3ACRN1gCQBnkDQNJkDQBpkDekRbEbqDi1tbVxySWXZD0GABVM1gCQBnkDQNJkDQBpkDcAJE3WAJAGeUNaqrMeAAAAAAAAAAAAAABgsVPsBgAAAAAAAAAAAADImGI3AAAAAAAAAAAAAEDGlmQ9AMBcm5ycjJGRkfK6oaEhampqMpwIgEojawBIg7wBIGmyBoA0yBsAkiZrAEiDvCEtit1AxRkZGYmdO3eW15s2bYqmpqYMJwKg0sgaANIgbwBImqwBIA3yBoCkyRoA0iBvSEt11gMAAAAAAAAAAAAAACx2it0AAAAAAAAAAAAAABmrKpVKpayHgDTs27cv1q9fX17v3bs31q1bl+FEJGVycjJGRkbK64aGhqipqclwIgAqjawBIA3yBoCkyRoA0iBvAEiarAEgDfJm8ci6a7oktVcCSElNTU00NTVlPQYAFUzWAJAGeQNA0mQNAGmQNwAkTdYAkAZ5Q1qqsx4AAAAAAAAAAAAAAGCxU+wGAAAAAAAAAAAAAMiYYjcAAAAAAAAAAAAAQMaWZD0AwFwbHx+P559/vrxeuXJl1NbWZjgRAJVG1gCQBnkDQNJkDQBpkDcAJE3WAJAGeUNaFLuBijM6Ohq7du0qrzdt2iREAZhTsgaANMgbAJImawBIg7wBIGmyBoA0yBvSUp31AAAAAAAAAAAAAAAAi51iNwAAAAAAAAAAAABAxqpKpVIp6yEgDfv27Yv169eX13v37o1169ZlOBEAAAAAAAAAAAAA80XWXVMndgMAAAAAAAAAAAAAZEyxGwAAAAAAAAAAAAAgY4rdAAAAAAAAAAAAAAAZW5L1AMCrSqVSFIvFKJVKWY8CUHGqqqqiuro6qqqqsh4FAAAAAAAAAADgpBS7ISPj4+Nx8ODBGB4ejsOHD8fk5GTWI1WMYrEYR44cKa+XLl0a1dV+QAEQUVNTE8uWLYvGxsZYsWJF1NbWZj0SC9TY2Fg89dRT5fUVV1wRdXV1GU4EQCWSNwAkTdYAkAZ5A0DSZA0AaZA3pEWxG1I2Ojoazz33XIyOjmY9SsUqlUpx+PDh8lpxEzhqcnIyRkZGYmRkJCIi6uvr48ILL4z6+vqMJ2OhGRsbi8cee6y8XrVqlb+wATDn5A0ASZM1AKRB3gCQNFkDQBrkDWlR7IaUlEqleP7552NoaCjrUSpedXV1NDY2TlkDnMzo6Gh861vfiubm5li5cmVUVVVlPRIAAAAAAAAAALBIKXZDSpS6Aeavo+/PF154YcaTsFD4EBEAaZA3ACRN1gCQBnkDQNJkDQBpkDekpapUKpWyHgLSsG/fvli/fn15vXfv3li3bl0qr/3KK6/E008/fcLt1dXVsWLFilixYkUsXbo0ampqvOEDJKBYLMbk5GQcOXIkDh48GAcPHoxisXjCvlWrVsU555yTwYQAAAAAAAAAAEDWsuyaRjixGxJ3+PDheOaZZ064/YILLojm5mZFboAU1dfXxznnnBPFYjGGhobihRdemHL/M888E3V1dbFs2bKMJgQAAAAAAAAAABYrjVJIWKFQiOMPxr/44ovj/PPPV+oGyEh1dXWcf/75cfHFF0+5vVQqRaFQyGYoAAAAAAAAAABgUdMqhQSVSqUYHh6eclsul4tcLpfNQABMcbL35IMHD57wgRwAAAAAAAAAAICkKXZDgsbGxmJiYmLKbc3NzRlNA8DJnHvuuVPW4+PjMTY2ltE0AAAAAAAAAADAYrUk6wGgkh1/WndtbW0sXbo0o2kWj2KxGKOjo+V1fX19VFf7HAtwcnV1dVFbWxvj4+Pl2w4ePBjLli3LcCrmu9HR0di7d295vX79+qivr89wIgAqkbwBIGmyBoA0yBsAkiZrAEiDvCEtit2QoIMHD05ZNzY2RlVVVUbTLB6lUmlKQVM5E5hOVVVVNDY2xtDQUPm24eHhOP/88zOcivlufHw8nn766fJ6zZo1/sIGwJyTNwAkTdYAkAZ5A0DSZA0AaZA3pMURtpCgI0eOTFk3NDRkNAkA0zn+/fnYD4cAAAAAAAAAAACkwYndkJBSqRTFYnHKbUuW+FcuDVVVVVFbWztlDTCd49+fJycno1Qqef/glGpra2PVqlVT1gAw1+QNAEmTNQCkQd4AkDRZA0Aa5A1p0TKFhBxf6o6IqKmpyWCSxae6utrp6MBpOdn7c7FY9L7NKdXX18d1112X9RgAVDh5A0DSZA0AaZA3ACRN1gCQBnlDWqqzHgAqValUOuE2J78CzE8ne38+2fs4AAAAAAAAAABAUhS7AQAAAAAAAAAAAAAyptgNAAAAAAAAAAAAAJAxxW4AAAAAAAAAAAAAgIwtyXoAgLk2OTkZIyMj5XVDQ0PU1NRkOBEAlebgwYPxwAMPlNfXX399rFixIsOJAKhE8gaApMkaANIgbwBImqwBIA3yhrQodgMVqVgsZj0CABWsWCzG8PDwlDUAzDV5A0DSZA0AaZA3ACRN1gCQBnlDWqqzHgAAAAAAAAAAAAAAYLFzYjdQcaqqqqKurm7KGgDmUl1dXaxZs2bKGgDmmrwBIGmyBoA0yBsAkiZrAEiDvCEtit1Axamuro76+vqsxwCggtXV1cXatWuzHgOACidvAEiarAEgDfIGgKTJGgDSIG9IS3XWAwAAAAAAAAAAAAAALHaK3QAAAAAAAAAAAAAAGVuS9QAAVIaurq7YsWNH5HK5E+5rbm6esh4aGjphT6FQiK1bt0Z3d3dSIwIAAAAAAAAAAMC8pdgNwJzYsGFDtLW1RcSrxe18Ph+FQiEiovy/x8rlctHS0lIufedyubjuuusSmW1gYCC6urpiaGgo2tra4u677z5pAZ10FAqF8j8vPT09WY8DAAAAAAAAAAAwLyh2AxVncnIyhoeHy+vGxsaoqanJcKLFobOzMzo7O6fcdvQU7+P19/eXS+BJy+fzsXnz5vK6r68vCoVC9Pf3p/L6TDU4OBgdHR2Rz+cjn89nPQ6csQMHDsTOnTvL602bNkVTU1OGEwFQieQNAEmTNQCkQd4AkDRZA0ASXhkdj+qqiMZltREhb0hPddYDAFC5tm3bdsJt7e3tqZW6I14tch9vYGAgtdfnVfl8Prq6umLDhg0K3QAAAAAAAAAAzFsPf7cQP/oHX45f+YuvR6lUynocFhkndgOQmObm5lndlqRcLpfq6/GqoydyDw4ORk9PjzI3AAAAAAAAAADzWqlUiv/6D9+K3/qrb8b4ZCm+OzQab205L376La/NejQWEcVuoOJUVVXF8uXLp6xZvDo7O6O7u3tKsbi7uzvDiSrb5s2bT3oient7e7S0tMT27dszmArmXn19fWzcuHHKGgDmmrwBIGmyBoA0yBsAkiZrAJgLhUNH4pd6H4mBbz435fbf+Ow34trX5OLqC5bLG1Kh2A1UnOrq6li6dGnWYzCP7N69O3bs2BH79++Pjo6OaGtry3qkirV58+bI5XLR3Nwcq1evjra2tmhtbY2IiIGBAcVuKkZtbW1ccsklWY8BQIWTNwAkTdYAkAZ5A0DSZA0AZ2v3t1+O2+7dE98vjJ5w35GJYnzwnj3xlx96u7whFYrdAFS8XC4XW7duzXqMRcHvMwAAAAAAAAAAC0GxWIq7v5yP3/6bx2KiWDrlvqdeHIk/+MITcfu7X5fidCxWit0AAAAAAAAAAAAALBpDI0fiY/c/FDsfe2HGve9rvSRuu/GqFKYCxW4AAAAAAAAAAAAAFokHnhqK2+7dE88eODztvmW11fEf37s+OjZeltJkoNgNVKBSqRTFYrG8rq6ujqqqqgwnAqDSTE5OxsjISHnd0NAQNTU1GU4EQCWSNwAkTdYAkAZ5A0DSZA0As1UsluKPvrQ/Ptn/eEwWS9PuvfrCFfGpW1vjqgsbI0LekB7FbqDiFIvFGB4eLq8bGxuFKABzamRkJHbu3Fleb9q0KZqamjKcCIBKJG8ASJqsASAN8gaApMkaAGbjxYNj8ZH7HoovP/HijHtv2nhp/PqPrY/6pf/cOZM3pEWxGwAAAAAAAAAAAICK9I/7X4oPf3pPPD88Nu2+5Utr4j//xPr4iWsvTWkyOJFiNwAAAAAAAAAAAAAVZbJYij/4uyfizi88EcXS9HvXXtQYn/qp1lh9wYp0hoNTUOwGKk51dXU0NjZOWbP49PX1RT6fj5deeiny+XwUCoUYGhoqf10qTf+ntR07dkShUIj9+/fH0NBQFAqFyOfzMTQ0FBs3boz+/v4p+/P5fPT09ERfX195fy6Xi40bN8bmzZujs7MzcrncnFzb0dcaGBgoX08ul4uWlpZoa2uLm2++OVpbW+fktYCTa2hoiE2bNk1ZA8BckzcAJE3WAJAGeQNA0mQNACfz/PDh+Heffii+uv+lGffe+ubXxP/vR18fy2prTrlH3pAWxW6g4lRVVUVNzalDlsVhy5YtUSgUzuix+Xw+urq6Zr2/q6srduzYEZ2dndHd3R0tLS0xNDQUvb29sWPHjhgYGIht27ZFb29vtLe3n9FMERGFQiG2bNkSfX19ERHl12tubo58Ph/9/f2xffv22L59e7S1tUVvb++clcmBqWpqaqKpqSnrMQCocPIGgKTJGgDSIG8ASJqsAeB4X3nixfh39+2JFw8emXbfirolccf73hDvuWbVjM8pb0iLYjcAFam3tzcKhUI8+OCD5dO7Z6ulpSV6e3tjaGgodu/eHffff/8pS+IbNmyI5ubmePnll08oUbe1tcWGDRvKJfGOjo4zLncPDAzE5s2bIyKitbU1ent7o6WlpXx/a2trtLe3R1dXV9x4440xMDAQV1xxRezevXvKPgAAAAAAAAAAqEQTk8X4vYEn4lNffDJKpen3rr+kKe66pTUuP9/J28wvit2wwH136FDWI0zrsubls9p3quu4oLFu2h9xcdTzw4djbLx4WrOl6XSuY2XjshQmqnxtbW0REdHe3h633357nHvuuaf1+GPL19u2bYvVq1efsKejoyM2btwYPT09p3yezs7O6O/vL5+yvWXLltMudvf19UVHR0dEvFo637179yn3tra2xhe+8IXYsGFDFAqF2LBhg3I3AAAAAAAAAAAV7dlXDsdt9+6JB741NOPef/3W18a//5HXRd2SmftckDbFbljgbti+M+sRpvWt3/qRWe071XXcu+Ut8dbV5834+A/dsye+9tTMoZyV07mO+7remsJEi0sul4vW1tYYHBw8o8e3tLRES0vLlFO/j54C3tvbO+Pjb7755nKxu1AoRF9f36zL3YODg+VSd0REf3//jI9pbW2NrVu3xvbt26NQKERXV9esHgcAAAAAAAAAAAvNzseej4/d/3AMjRyZdl/jsiWx/SffGP/yDRenNBmcvuqsBwCANJztidW5XK789dDQUGzZsiXuvvvuWT326OnhR51OyfrYUnd7e/usr+P2228vfz0wMBADAwOzfk1gZuPj4/H973+//Gt8fDzrkQCoQPIGgKTJGgDSIG8ASJqsAVi8xieLccdffTP+zX97cMZS9zWXnhOfv+2GMy51yxvS4sRuAJiF5ubm8teDg4PR2toara2ts3rssaXwiJhy8vd0tm/fPmXvsWXt2bzmsaeU9/T0nFAwB87c6Oho7Nq1q7zetGlT1NbWZjgRAJVI3gCQNFkDQBrkDQBJkzUAi9P3C6Nx2717Yve3X55x7799+xWx7YfXxtIlZ34WsrwhLYrdAHAGbr755jN+7NDQ0Kz23XHHHeWvjxa1T8fGjRvLxe6+vr7TeiwAAAAAAAAAAMxHA994Lj7W+3C8Mjr9qdnn1NfGJzquic2vvzClyeDsnfnHDwBgETvd06+PPbW7UCjMuL+vr2/KvjM5bXvz5s1T1gMDA6f9HAAAAAAAAAAAMB8cmSjGf/rsN+Ln/2zXjKXu1tfk4nO3vV2pmwXHid0AcAaOLWon4b777puyvu666077OY4/4XtwcPCMCuLAiZqamuK9731v1mMAUOHkDQBJkzUApEHeAJA0WQOwOHx36FB88N498fB3CzPu7XpHS/zSD66J2pq5O/tY3pAWxW5Y4L68dVPWI8yJU13HBY11s3r8H9x6bYyNF+dypDl1OtfBwtDc3Jzo8x9/unZLS8tpP8fxj3nppZfOaiYAAAAAAAAAAEjbX+99Jn6575EYPjwx7b5zl9fGJ296U2xauzKlyWDuKXbDAndZ8/KsR5gTZ3sdKxuXzdEk2aqU60jL4OBgbNiwIUqlUuqvneSJ3YVCIQqFwklvP9vnBQAAAAAAAACAhWBsYjJ+83PfjD/9x2/PuPe6y8+NO2+5Ni4+pz6FySA5it0ALFj5fD7rERIxNDR0wm0dHR1n/bxJltEBAAAAAAAAAGCulEql+Nn/+mD8Y376n1BfVRXxi+9cHR9puzqW1FSnNB0kR7EbgAXrwQcfjJaWlqzHmHMnO1l7//79FXmtAAAAAAAAAABwvKqqqrjlza+Ztth9XsPS+N2b3xT/4uoLUpwMkqXYDVScYrEYY2Nj5XVdXV1UV/s0ViXK5/NOoQYyMTY2Fk899VR5fcUVV0RdXV2GEwFQieQNAEmTNQCkQd4AkDRZA1C5fuyaVfGP+1+Mex/47gn3vaWlOe58/7WxsmlZKrPIG9Ki2A1UnFKpNKXYvXTp0gynIUn5fL4iT7E+2TVV6rXCQjU2NhaPPfZYeb1q1Sp/YQNgzskbAJImawBIg7wBIGmyBqCyffw962LPdwrx6LPDERFRVRVx27uuittuvCpqqqtSm0PekBZH2AKwYA0ODlZk2flkp5AXCoXU5wAAAAAAAAAAgCwtq62Ju25tjeVLa+KCxrr483/75vjI5qtTLXVDmpzYDVSk6mqfW6l0AwMDERFx3nnnZTxJMtra2srXGBExNDSU4TTA8aqrq6OxsXHKGgDmmrwBIGmyBoA0yBsAkiZrACrflStXRM/PbIi1FzXFBY3ZnJItb0iLYjdQcWpqaqKpqSnrMUhYd3d3RERFntgdEdHR0TGl2N3f3x+dnZ0ZTgQca8WKFfGud70r6zEAqHDyBoCkyRoA0iBvAEiarAFYmJ58fjhWNi2LpmW1s9p/w1UXJDzR9OQNafGRAQAWnHw+Xy4953K5bIdJyE033TTl2o4teZ+Jjo6O2LZt21lOBQAAAAAAAAAAZ6d313fjR//gK3H7X3w9SqVS1uPAvKLYDcCC09HRUf66Uk/szuVycfvtt5fXhULhjMvdhUIh+vr6YvXq1XM1HgAAAAAAAAAAnJaRsYn46P0PxS/3PRKHx4vxuUeeiT//2neyHgvmFcVuABaUrq6uGBwcLK8rtdgdEbF169Yp13emJ27fcccdkcvlorOzc65GAwAAAAAAAACAWXv02QPxY3d9Jf5i8PtTbv+Nz34j9j39SkZTwfyj2A1AYoaGhubsuQqFQmzYsCF27NhxRo/P5/Nn9frHP/50n69QKJzR6/b395e/HhwcPO3rHxwcjO3bt0d3d/cZvf5cOv734Gy/JwAAAAAAAAAAzH+lUik+ct/Dsf+FkRPuOzJRjA/esycOjk1kMBnMP4rdQMUpFosxMjJS/lUsFrMeadE6WZl4165dp/UcAwMD0dHREeeee+6Uk7ojZn9adz6fP+GxfX19s54hn8+fUEI+nccfv/dk85xKS0tL9Pf3Ry6Xi4hXTywfGBiY1WPz+XzceOON0d7envlp3YVC4YQTx/P5/Gn9PsJ8Mjo6Gg8++GD51+joaNYjAVCB5A0ASZM1AKRB3gCQNFkDMP9VVVXFJzreGEuXnLyy+tSLI/HpB76T8lSnR96QliVZDwAw10qlUoyPj5fXy5Yty3CaxWPHjh3R398fhUIhhoaGIp/Pn/SU6sHBwTj33HNj48aN5bLysWZ6/LFO9vijz7Fly5aIOHWJuqOjI1paWqKlpSVyuVz09vae1uO3bdsWPT095cd3dXVFW1tb+RrvuOOOKBQKJy2FR0Rs2LBhyut3d3efsqje1tYWu3fvjs2bN0c+n4/NmzfH1q1bpz2Fe/v27bFt27Zob2+fcm1JGxgYiJ6enoj45xO6T/V7EPHq9yGXy0VLS0s0NzeXv6ctLS3z4pRxOJXx8fF4+umny+s1a9ZEfX19hhMBUInkDQBJkzUApEHeAJA0WQOwMKxbdU786o++Pn71M3un3F5bUxXbfnht/Nu3X5HRZLMjb0iLYjcAc2L37t2zPn25UCjM+tTp6Ux3YndfX1+5JHyqAvjRAvnJbp/t44eGhqJQKMR1111XLnYfPYn6dB7f1dU17fW0tLTE/v37y4Xt7du3x44dO+Kmm26KzZs3Ry6Xi3w+H7t3744dO3ZELpeLnp6e1E/qLhQK5X8Ojr3uU/0eHHVs+btQKERra2tSIwIAAAAAAAAAkIGffvNr4p/2vxSf+/ozERFx6bn1cdetrfGmy3LZDgbziGI3UHGqqqqitrZ2yprk9fT0lE9qzloul4tSqXTGj29paTmrx7e3t5/V46ezdevW2Lp1a/T19cV9990XAwMDcf/990ehUCifAN7b2xvt7e2JvP5Mkrx2mE9qa2tj1apVU9YAMNfkDQBJkzUApEHeAJA0WQOwcFRVVcUdP/mG+Pr3X4nXX9wU3e1vjHPqF8b7trwhLVUl7SsWiX379sX69evL671798a6desSe72JiYl44oknptx21VVXxZIlPk8BMN94zwYAAAAAAAAASMcLw2Nx/oqlDuxkXkq7a3q86tReCQAAAAAAAAAAAICKUSqV4r//w1Ox/4WDs37MBY11St1wCo6hBAAAAAAAAAAAAOC0vHJoPH657+H42288F2svaozPfOAHYlltTdZjwYLmxG4AAAAAAAAAAAAAZm3wOy/Hu+/8cvztN56LiIhHnx2O3/jsNzKeChY+xW4AAAAAAAAAAAAAZlQslmLH3++Pm/74H+P7hdEp993zte/EXz78dEaTQWVYkvUAAHNtcnIyRkZGyuuGhoaoqfEjPgCYOwcPHowHHnigvL7++utjxYoVGU4EQCWSNwAkTdYAkAZ5A0DSZA1Ael4eORIf6304/u7R50+55/a/+Hq84ZJz4vLzG1KcLHnyhrQodgMVqVgsZj0CABWsWCzG8PDwlDUAzDV5A0DSZA0AaZA3ACRN1gCk48FvDcVt9+6JZ145PO2+iWIxHntuuOKK3fKGtCh2AwAAAAAAAAAAAHCCYrEUf/Sl/fHJ/sdjsliadu+VK1fEp25tjTUXNaY0HVQexW6g4lRVVUVdXd2UNQDMpbq6ulizZs2UNQDMNXkDQNJkDQBpkDcAJE3WACTnxYNj8dH7H46/f/yFGfe2b7g0fuO962L50sqspcob0lKZ/wYBi1p1dXXU19dnPQYAFayuri7Wrl2b9RgAVDh5A0DSZA0AaZA3ACRN1gAk45/yL8Vt9+6J54fHpt1XX1sT/+nH18dPbrg0pcmyIW9Ii2I3AAAAAAAAAAAAADFZLMVdf/dk/P4XHo9iafq9ay9qjLtubY0rV65IZzhYBBS7AQAAAAAAAAAAABa554cPx0fueyj+4cmXZtx7y/WXxcffsy6W1dakMBksHordAAAAAAAAAAAAAIvYPzz5Ynz40w/FiwfHpt3XsLQmfvN9b4j3vumSlCaDxUWxGwAAAAAAAAAAAGARmpgsxp1feCL+YOeTUSpNv/f1FzfFp36qNa44vyGd4WARUuwGKs7k5GQMDw+X142NjVFT40d+ADB3Dhw4EDt37iyvN23aFE1NTRlOBEAlkjcAJE3WAJAGeQNA0mQNwJl77sDh+NC9e+KBp4Zm3Pszb3lt/L8/8rpYVrs4e1jyhrQodgMAAAAAAAAAAAAsIl987Pn46P0Px9DIkWn3NdYtie72N8a733BxSpPB4qbYDQAAAAAAAAAAALAITEwW43f6H48/+uL+Gfe+8dJz4q5bWuM15y1PYTIgQrEbqEBVVVWxfPnyKWsAmEv19fWxcePGKWsAmGvyBoCkyRoA0iBvAEiarAGYvacLo3HbvXti17dfnnHvv/mBy+NX/uXaqFtSk8Jk85+8IS2K3UDFqa6ujqVLl2Y9BgAVrLa2Ni655JKsxwCgwskbAJImawBIg7wBIGmyBmB2vvDN5+JjvQ9H4dD4tPuali2J3+64Jn5o3UUpTbYwyBvSotgNAAAAAAAAAAAAUIGOTBTjt//m0bj7y0/NuPdNl+XirluvjUvPXZ7CZMDJKHYDAAAAAAAAAAAAVJjvDh2KD927Jx76bmHGvZ3/oiV++YfWRG1NdfKDAaek2A0AAAAAAAAAAABQQf5m37Pxy70Px4HDE9Puyy2vjU/edE28a+2FKU0GTEexG6g4pVIpisVieV1dXR1VVVUZTgRApZmcnIyRkZHyuqGhIWpqajKcCIBKJG8ASJqsASAN8gaApMkagKnGJibjjs8/Gv/9q9+ace/G154bd95ybazK1Sc/2AInb0iLYjdQcYrFYgwPD5fXjY2NQhSAOTUyMhI7d+4srzdt2hRNTU0ZTgRAJZI3ACRN1gCQBnkDQNJkDcA/+/ZLI/HBe/bE17//yox7f/Gdq+Ojm6+OJTXVKUy28Mkb0qLYDQAAAAAAAAAAALCAfe6RZ+JX/ucjMTw2Me2+8xqWxidvflO84+oLUpoMOB2K3QAAAAAAAAAAAAAL1NjEZHzibx+bsdT95iua485bro0Lm5alNBlwuhS7gYpTXV0djY2NU9YAMJcaGhpi06ZNU9YAMNfkDQBJkzUApEHeAJA0WQMQUbekJu669dr4iT/8ahyZKJ5wf1VVxIfedVXc9q4rY0mNLtWZkDekRbEbqDhVVVVRU1OT9RgAVLCamppoamrKegwAKpy8ASBpsgaANMgbAJImawBetW7VOfGrP/K6+NX/vW/K7eevqIvff/+b4geuPD+jySqDvCEtPnoBAAAAAAAAAAAAsMD99FteG+9+w0Xl9Q9ceV58/sNvV+qGBcSJ3QAAAAAAAAAAAAALXFVVVfzWT74xvvnMcPzEtZfEBzZdGTXVVVmPBZwGxW4AAAAAAAAAAACACtC0rDb+6sM3xLLamqxHAc6AYjdQcYrFYkxMTJTXS5Ysierq6gwnAqDSjI+Px/PPP19er1y5MmprazOcCIBKJG8ASJqsASAN8gaApMkaoNIdOjIR//lz34yfe/sVsfqCFbN6jFL33JM3pEWxG6g4pVIpDh06VF43NjZmOA0AlWh0dDR27dpVXm/atMlf2ACYc/IGgKTJGgDSIG8ASJqsASrZ488Nxwf+fDCeeP5g7P72y/GZD/yA0nZG5A1pcYQtAAAAAAAAAAAAwDxRKpXivge/Ez9211fiiecPRkTEo88Ox2989hsZTwYkTbEbAAAAAAAAAAAAYB44PD4ZH7nvodj2P78eh8eLU+6752vfib98+OmMJgPSsCTrAQDmWk1NTeRyuazHAKCCNTU1xXvf+96sxwCgwskbAJImawBIg7wBIGmyBqg0S2uqozA6fsr7b/+Lr8cbLjknLj+/IcWpkDekxYndAAAAAAAAAAAAAPNAdXVVfPKmN8VFTctOev859bVxcGwi5amAtCh2AwAAAAAAAAAAAMwTzQ1L485bro3qqqm3/+DrL4zP33ZDrL/knGwGAxKn2A0AAAAAAAAAAAAwj1x/RXN8dPPVERFRW1MVH3/P66PnZzbEOctrM54MSNKSrAcAAAAAAAAAAAAAYKpffOeV8b2XR+PWN78m3nhpLutxgBQodgMVp1gsxtjYWHldV1cX1dV+QAEAc2dsbCyeeuqp8vqKK66Iurq6DCcCoBLJGwCSJmsASIO8ASBpsgZYaMYmJqNuSc2s9lZXV8Vv/eQbE56I2ZA3pEWxG6g4pVJpSrF76dKlGU6zeHR1dcWOHTsil8udcF9zc/OU9dDQ0Al7CoVCbN26Nbq7u5MaEWDOjI2NxWOPPVZer1q1yl/YAJhz8gaApMkaANIgbwBImqwBFpKHvluID907GL/+Y+viXWsvzHocToO8IS2K3QDMiQ0bNkRbW1tEvFrczufzUSgUIiLK/3usXC4XLS0t5dJ3LpeL6667LpHZBgYGoqurK4aGhqKtrS3uvvvukxbQmXv5fD56enpiYGCg/M9ELpeL5ubmaG1tjZtvvjna2tp8PwAAAAAAAACAilUqleJPvvJUdP/1ozE+WYqP3f9wfP7DN8TF59RnPRowzyh2AxWpuro66xEWnc7Ozujs7Jxy29FTvI/X399fLoEnLZ/Px+bNm8vrvr6+KBQK0d/fn8rrL1aFQiG2bNkSfX19ERHR0tISGzduLJf+j/46ev/WrVvj9ttvV/Bmwaiuro7GxsYpawCYa/IGgKTJGgDSIG8ASJqsAea7wqEj8Uu9D8fAN58v3/byofG47d49ce+Wt8SSGu9bC4G8IS1VpVKplPUQkIZ9+/bF+vXry+u9e/fGunXrEnu9iYmJeOKJJ6bcdtVVV8WSJT5PweKRz+dj9erVU25rb2+P3t7e1GbYvn17bNu27YTbxV9yBgcH48Ybb4xCoXDKwvbg4GBs27YtBgYGyrflcrno7e1NrfR/LO/ZAAAAAAAAAMBc2/3tofjQPXvi6VcOn/T+X3zn6tj6w2tTngqYTtpd0+P5yAAAiWlubp7VbUlyAnS6BgcHY8OGDdHc3Bz79++P7u7uk34PWltbo7+/P3p6esq3FQqF2Lx5c/kUbwAAAAAAAACAhahYLMUff2l/3NTzT6csdUdE/OEX98dXn3wxxcmA+U6xG4CK1tnZGS0tLVNu6+7uzmiaylYoFOLGG2+MXC4Xu3fvPuH3/WQ6OztP+H50dHRMOckbAAAAAAAAAGCheOngWPzcnz4Yv/VXj8ZkcfqfKP++1kvimsty6QwGLAhLsh4AAJK2e/fu2LFjR+zfvz86Ojqira0t65Eq0pYtW6JQKMTu3btP66T0rVu3xh133BGFQqF8W0dHR7z88stzPyQAAAAAAAAAQEIeeGooPnTvYDx3YGzaffW1NfEb710XHRsvS2kyYKFQ7Aag4uVyudi6dWvWY1S0fD4ffX190d7eHq2traf9+O7u7ujq6iqvC4VCbN++3fcNAAAAAAAAAJj3isVS/OEXn4xP9j8eMxzSHVdfuCI+dWtrXHVhYzrDAQuKYjdQcYrFYoyOjpbX9fX1UV1dneFEUPl6enoiIuL2228/o8d3dnbGtm3bppza3dPTo9jNvDU6Ohp79+4tr9evXx/19fUZTgRAJZI3ACRN1gCQBnkDQNJkDZC1F4bH4qP3PxRffuLFGffevPGy+LUfWxf1S2tSmIy5JG9Ii6YjUHFKpVKMj4+Xf5VKM3wMDjhrAwMDkcvlYteuXTEwMHBGz3HTTTdNWefz+cjn83MxHsy58fHxePrpp8u/xsfHsx4JgAokbwBImqwBIA3yBoCkyRogS1998sV4951fnrHUvXxpTfzezW+K7vY3KnUvUPKGtDixGwA4a4ODgxER0dXVFRER7e3t0dvbe1rPsWHDhpM+b0tLy9kPCAAAAAAAAAAwRyaLpbjzC0/EnX/3RMx05uTaixrjUz/VGqsvWJHOcMCCptgNVJyqqqqora2dsgaSUygUTritr68v8vn8aZWym5ubT7jNid3MV7W1tbFq1aopawCYa/IGgKTJGgDSIG8ASJqsAdL2/IHDcdun98Q/5Ydm3PtTb35N/OqPvj6W1Tqle6GTN6RFsRuoONXV1dHQ0JD1GLDonazwPZ1cLnfCbS+99NLcDANzrL6+Pq677rqsxwCgwskbAJImawBIg7wBIGmyBkjT3z/+QnzkvofipZEj0+5bUbck7njfG+I916yadh8Lh7whLYrdAMBZyeVy0dLSMuV07VwuF62traf1PCc7nfu888476/kAAAAAAAAAAM7GxGQxfnfg8fjDL+6PUmn6vesvaYq7bmmNy893MCVw+hS7AahIfX19kc/n46WXXop8Ph+FQiGGhobKX5dm+FP2jh07olAoxP79+2NoaCgKhULk8/kYGhqKjRs3Rn9//5T9+Xw+enp6oq+vr7w/l8vFxo0bY/PmzdHZ2XnSE6nPxNHXGhgYKF/P0XJ1W1tb3Hzzzaddqj5b/f390dHREYODg9Ha2hp33333aT/H/v37T7htrn7PAAAAAAAAAADOxDOvjMaH730oHvjW0Ix7f/Ztl8ft714bdUtqUpgMqESK3QBUpC1btkShUDijx+bz+ejq6pr1/q6urtixY0d0dnZGd3d3tLS0xNDQUPT29saOHTtiYGAgtm3bFr29vdHe3n5GM0VEFAqF2LJlS/T19UVElF+vubk58vl89Pf3x/bt22P79u3R1tYWvb29qRWjW1paYvfu3Wf1HCc7sbutre2snhMAAAAAAAAA4EztfPT5+Oj9D8XLh8an3de4bEn8dvsb44fXX5zSZEClUuyGhe5b30ruuS+9NGLJLN4mvve9iImJZGa46KKIZctm3vfssxGHDyczw/nnR6xYMfO+F1+MOHjw7F/v8svP/jmI3t7eKBQK8eCDD5ZP756tlpaW6O3tjaGhodi9e3fcf//9pyyJb9iwIZqbm+Pll18+oUTd1tYWGzZsKJfEOzo6zrjcPTAwEJs3b46IiNbW1ujt7Y2Wlpby/a2trdHe3h5dXV1x4403xsDAQFxxxRWxe/fuKfvms4GBgSnrlpaWBTM7AAAAAAAAAFA5xieL8Ym/eSx6/n7mvsk1l54Td93aGpc1L09hMqDSKXbDQnfFFck991NPza5k/Pa3R3z728nMsHNnxDvfOfO+978/4ktfSmaG//bfIn72Z2fe90u/FPGnf3r2r1cqnf1zUD7pub29PW6//fY499xzT+vxx5avt23bFqtXrz5hT0dHR2zcuDF6enpO+TydnZ3R399fPmV7y5Ytp13s7uvri46OjoiY+WTs1tbW+MIXvhAbNmyIQqEQGzZsWBDl7r6+vhPK89u2bctmGJiFgwcPxgMPPFBeX3/99bFiNh8CAoDTIG8ASJqsASAN8gaApMkaYK59vzAaH7pnMAa/U5hx78+//YrY+sNrY+mS6uQHI1PyhrR4NwGg4uVyuWhtbT3jx5/s5Oijp4BPV+o+6uabby5/XSgUyiXv2RgcHCyXuiMi+vv7Z3xMa2trbN26tfx6R08Mn8+O/31saWmJzs7OjKaBmRWLxRgeHi7/KhaLWY8EQAWSNwAkTdYAkAZ5A0DSZA0wl/q/8Vy8+/e/PGOp+5z62vgv/2pj/Icffb1S9yIhb0iLdxQAFoWzPbE6l8uVvx4aGootW7bE3XffPavHHj09/KjZlLOPOrbU3d7ePuvruP3228tfDwwMxMDAwKxfM235fP6E+Xp7ezOaBgAAAAAAAABYbI5MFOM3/vIbseXPdsUro+PT7m19TS4+/+Ebou31F6Y0HbCYLMl6AABYCJqbm8tfDw4ORmtr66xPAT+2FB7xapF5NrZv3z5l77Fl7dm8ZmtrawwODkbEqydiH18wny+OLa9HvDrr2ZywDmmoq6uLNWvWTFkDwFyTNwAkTdYAkAZ5A0DSZA1wtr47dCg+eM9gPPy9V2bc2/WOlvilH1wTtTXO1F1s5A1pUewGgDNw8803n/Fjh4aGZrXvjjvuKH99tKh9OjZu3Fgudvf19Z3WY9OyY8eO8owREZ2dndHZ2ZnhRDA7dXV1sXbt2qzHAKDCyRsAkiZrAEiDvAEgabIGOBt/vfeZ+OW+R2L48MS0+5oblsbv3HRNbFqzMqXJmG/kDWnxsREAOAOne/r1sad2FwqFGff39fVN2Xcmp21v3rx5ynpgYOC0nyNJhUIhurq6yuv29vbo6enJcCIAAAAAAAAAYDE4PD4ZH//fe+MX/sfgjKXu6y9vjs/fdoNSN5AKJ3bDQvfUU8k996WXzm7fV74SMTH9H3DO2EUXzW7fpz8dcfhwMjOcf/7s9n3iExG/9mvJzMC8c2xROwn33XfflPV111132s9x/Anfg4ODZ1QQT8qNN95Y/rq9vT16e3sznAYAAAAAAAAAWAxeHjkSP/0nX4t9Tx+Ydl9VVcQHN10ZH77xqlhS4wxdIB2K3QtEX19f9Pf3x8DAQAwNDUWhUIhcLhctLS3R1tYWN9988wkFvrMxODgYPT09sWvXrsjn81EoFKKlpSVaWlqiq6sr2tvb5+y1OEuXX571BLMvgCdptgXwJJ1//uxL4Cx4zc3NiT7/8adrt7S0nPZzHP+Yl1566axmmksdHR0xODgYEUrdAAAAAAAAAEB6zqmvjQsa66bdc/6KpfG7N78pbrjqgpSmAniVYvc819fXF1u2bCkXq1tbW6OlpSXOO++8eOmll2JgYCC2b98e27dvj9bW1rj77rvPquA9ODgYW7ZsicHBwcjlcnH77bdHa2trNDc3x65du6K3tzc6OjoiImLr1q3R3d09V5cKcNoGBwdjw4YNUSqVUn/tJE/sLhQKUSgUTnr72T7vfLB9+/bo6+uLCKVuAAAAAAAAACBd1dVV8Tsd18S77/xyPHdg7IT739pyXvz++98UK5uWZTAdsNgpds9jHR0d0dfXF21tbdHd3X3KwnY+n4+urq4YGBiIDRs2RHd3d2zduvW0X6+vr2/a0nZra2t0dnbGwMBAdHR0xPbt22NgYCC+8IUvJFpwhNM1OTkZw8PD5XVjY2PU1NRkOBFJyefzWY+QiKGhoRNuO/r+fDbmw3t1X19fbNu2LSIiOjs7o6enJ+OJ4MwcOHAgdu7cWV5v2rQpmpqaMpwIgEokbwBImqwBIA3yBoCkyRrgTJy3oi7ufP+1ccvd/xTF/3ueYFVVxIdvvCo+9K6roqa6KtsBmXfkDWmpznoATu5oqbunpyf6+/unPYW7paUl+vv7yyeebtu2LbZv335ar7d9+/ZZn8Td1tYWu3fvjlwuVz4tFyALDz74YLS0tGQ9xpw72cna+/fvj1KpdFa/sv4pC0c/GBTxatYodQMAAAAAAAAAWXlzy3nxkbarIyLigsa6+POff3P8u7arlbqBTCl2z0Pbt2+Pvr6+6O7ujs7Ozlk/rr29vXxS97Zt22JwcHBWjxsYGCifnnr0dPCZtLS0xN133x0Rr56YOxcnyQKcrnw+Py9OoWZmg4ODsXnz5oiI6O7uzrxkDgAAAAAAAADwi5uujA+968r4qw/fEG9bfX7W4wDEkqwHYKpCoRDbtm2L1tbWckn7dHR3d8fAwEAMDg7Gli1bYvfu3TM+pqurq/z10YL3bLS3t0dLS0vk8/no6+uLgYGBaGtrO+2ZYa5VVVXF8uXLp6ypTPl8viJP7D7ZNS3ka83n83HjjTdGRERPT89pfWgJ5qv6+vrYuHHjlDUAzDV5A0DSZA0AaZA3ACRN1gDHGxo5Es0NS2e1t6a6Kj72g2sSnohKIG9IixO755kdO3ZERMTNN998xs9x9BTUwcHByOfzM77e0T0tLS2nXcw+01I4JKm6ujqWLl1a/lVd7a2uUg0ODi7YsvN0TnYKeaFQSH2OuVAoFGLz5s1RKBSit7f3tErdXV1d5VyE+aa2tjYuueSS8q/a2tqsRwKgAskbAJImawBIg7wBIGmyBjhW767vxtu7/y7+7tHnsh6FCiNvSIu24zxz3333RcTJT2udrWPL2YODg9Pu7enpOenjZqu9vX3Ka81UJAeYKwMDAxERcd5552U8STKOf08eGhrKaJKzc+ONN0Y+n4/e3t4pmTEb999/fzQ3Nyc0GQAAAAAAAABQKUbGJuKj9z8Uv9z3SBw6Mhkfu//heOaV0azHAjhtit3zzNEi9oMPPjgnzzddETCfz08pfm/YsOG0n//4AvqxRXGAJB396QSVeGJ3RERHR8eUdX9/f0aTnLnNmzfH4ODgGZW6C4VCFAqFiv3+AgAAAAAAAABz49FnD8SP3fWV+IvB75dve/nQeNx2756YmCxmOBnA6VPsnqeOnkR7JgqFQvnr6U467evrm7LeuHHjGb3esaW7458TIAn5fL78PpnL5bIdJiE33XTTlGs7m1yIeLUovm3btrOcava6urpiYGDgjErdEf98va2trXM9GgAAAAAAAABQIZ4/cDh+4lNfjf0vjJxw34Pfejk+2f94BlMBnDnF7nlqcHDwjEvSu3btKn893Umnx5/+eqanoh77uHw+P6VYDlkolUoxOTlZ/lUqlbIeiTl27GnWlXqicy6Xi9tvv728LhQKZ1zuLhQK0dfXF6tXr56r8aa1ffv22LFjxxmXuiNezahKLe1TGSYnJ+PAgQPlX5OTk1mPBEAFkjcAJE3WAJAGeQNA0mQNLG4rm5bFv37b5ae8/w+/uD8e/m4htXmoXPKGtCzJegCmamlpiXw+HxGvFhd379592qeVHi1st7S0TPvYYwvgEWd+6u3xpcpdu3ZFW1vbGT0XzIVisRjDw8PldWNjY9TU1GQ4EXOpq6srBgcHy+tKLXZHRGzdujV6enrKubBt27bYvXv3aT/PHXfcEblcLjo7O+d6xBPs2LEjtm3bFj09PdHW1jarD/sMDQ2Vv87n85HP52PHjh2yhHltZGQkdu7cWV5v2rQpmpqaMpwIgEokbwBImqwBIA3yBoCkyRrgYz94dTz4raHY/e2Xp9xeW1MV2354bbzx0nMymoxKIm9IixO755njTzbdsGFDbN++fdaPz+fz5f09PT3T7ju2bHc2p6Ie/9jjTwIHFq9jC7tnq1AoxIYNG2LHjh1n9Pij5egzdfzjT/f5zvSnGRz7njo4OHja1z84OBjbt2+P7u7uM3r90zEwMBBdXV0R8WoB/9xzz53Vr9WrV5d/bd68ufwclVzaBwAAAAAAAADmRm1NdfzBLddGbnlt+bZLz62P3l94W/z8DS1RVVWV4XQAp0exe545WmY71rZt22LDhg2zKhEefXxnZ+e0J52ebcHxWOedd15izw0sbCcrEx//0wJmMjAwEB0dHXHuuedOOak7YvbF33w+f8Jj+/r6Zj3D0VOkz/Txx+892Tyn0tLSEv39/eUP0XR1dcXAwMCsHpvP5+PGG2+M9vb2xE/rHhwcjM2bN8/pc27YsGFOnw8AAAAAAAAAqEyrcvXxifZrIiLih9ddFJ+77YZ402W5bIcCOANLsh6AqVpaWmLr1q0nnNI9ODgYq1evju7u7ti6detJH9vR0REDAwPR2to67WndEWd+cuxsKHaTterq6mhsbJyyJnk7duyI/v7+KBQKMTQ0dMJPBjhqcHAwzj333Ni4ceNJf1rATI8/1ql+2kChUIgtW7ZExKlL1B0dHdHS0hItLS2Ry+Wit7f3tB6/bdu26OnpKT++q6ur/IGawcHBuOOOO6JQKJy0FB7xamn52Nfv7u4+ZVG9ra0tdu/eHZs3b458Ph+bN2+OrVu3TnsK9/bt22Pbtm3R3t4+5dqSUCgU4sYbb5zz53ViN/NZQ0NDbNq0acoaAOaavAEgabIGgDTIGwCSJmuAo9pef2H0/sJbY+Nrz3VKN3NO3pAWxe55qLu7OwYGBk5ZJLzvvvuit7e3XHgrFArlUvdsC3zHlwybm5vnZvhItjQOs1FVVRU1NTVZj7Ho7N69e9anWBcKhVmfOj2d6Yq/fX195eL3qQrgRwvkJ7t9to8fGhqKQqEQ1113XbnYnc/nT/vxXV1d015PS0tL7N+/v1zY3r59e+zYsSNuuumm2Lx5c+Ryucjn87F79+7YsWNH5HK56OnpSfyk7qPXkcR7/8aNG+f8OWGu1NTURFNTU9ZjAFDh5A0ASZM1AKRB3gCQNFkDlatUKsVf7302fmjdRVFdPbui9nWXz10PDo4lb0iLYvc89YUvfKFc1j7esad3t7S0lE+VPZ0C30svvTRnsx5fWHRiNyxOPT09M/60gLTkcrkolUpn/PiWlpazenx7e/tZPX46W7duja1bt0ZfX1/cd999MTAwEPfff38UCoXyCeC9vb3R3t6eyOufzNn+fgEAAAAAAAAAHOuVQ+Pxy30Px99+47n45R9aEx/YdGXWIwGkQrF7nsrlctHf318+mfVkjt7e1tYWvb29pzwRFoDK097enmp5GwAAAAAAAAAgDYPfeTk+dM+e+H5hNCIiPtn/eFx/RbPTuIFFQbF7ntu6dWu0tbVFR0fHKU/CHhgYiB07dsTWrVtn/byFQmHKejGWwh955JE4dOhQLF++/IT7Dh8+HBMTExERsWTJkli2bFlERFxwwQWxcuXKiIg4ePBgFIvFiIioq6uLurq6E55ncnIyIiKqq6tPOkOpVCo/x9F9VVVTf2xIsVicchJuTU3NCc9zunuqqqpOOtPRec9mj2tyTa7JNS3Ea5qcnIxSqXTCLBERBw4cKH9dX18ftbW1JzzHyMhIed3Q0HDCPOPj4zE6Olpen+xH84yNjcXY2FhEvPr7smLFihP2jI6Oxvj4eERE1NbWRn19/Ql7ZpNPrsk1uSbX5Jpck2tyTa7JNbkm1+SaXJNrck2uyTW5JtfkmlyTa3JNrsk1uSbX5Jpc03y7pmKpFH/2te/HnV/8VkwU/7kTMFksxYfuGYz7f+7ayC2vXVDXdFQlfZ9ck2uq9Gs6ePDgCbenSbF7AWhpaYnW1tZTFrsjXj29u6enJ3p7e6O1tTXF6RauW2+99bQf8/GPfzx+7dd+LSIiHnjggRgeHo6IiDVr1sTatWtP2H/0/sbGxpMWCovFYnnP0X3Hv+FMTEzEoUOHyuuTlfCPf8M52ZvS8W+iDQ0NJ+wZGRmZ8iZ6sjfaY+ddvnx5LF26dN5dU7FYLBfzR0dHy8XOhXxNx6qU75Nrck3z6ZqmK3bv3Lmz/PXGjRvjkksuOeE5jt2zadOmE+Z5/vnnY9euXeX1e9/73hNe56mnnorHHnssIl79fXnXu951wp69e/fG008/HRERq1atiuuuu+6EPbPJJ9c0N9e0bNmyWL9+fURErFy5svwXi4V8TZX4fXJNrsk1uaaFfE3j4+Px6KOPTvn/Axb6NUVU3vfJNbkm1+SaFvI1XXvttVP+Xr5y5coYHR1d0NdUid8n1+SaXJNrWujX9LWvfa38H8UvvvjiuPbaa0/4j/QL7Zoq8fvkmlyTa3JNC/maxsfH4/nnny/v+d73vhfPPvvsgr6m41XC98k1uaaZrumzf7sz/seT1fGNwskP0Hz2wFj8wn//amxZW4zqqoVxTZX4fXJNrz5PxNSewEK/pkr8Pp3NNT3wwAMn3J6mk78LMm9s3749zj333BgYGIienp7o7++PlpaWk+7N5/OxYcOG6OvrS3lKmF9KpVIcOnQoDh06NOVEXwCYS4cPH45du3bFrl27pnzqEwDmyujo6LQf8gaAs3XkyJHy32v83QaApBz7UxyfeeYZeQPAnBsdHZ3yd5tjf8owsDAMfveV2P5IzSlL3Uc9caAqnj007RZInP8vjaQpds9ThUIhNmzYENu2bYv29vZ46qmnorOzM9ra2mL//v3R2dl5ysd2dHTEtm3bTvv1AAAAAAAAAAAAIA3FYik+tfPJ+Lf/45EoHDnxJ2wf6/Jz6+Jjb5iMVSf+sG6AilJVcpztvHP05O1CoRCdnZ3R09Nz0n2Dg4PR0dFxytO7pntsV1dX7Nixo7xuaWmJ/fv3n9G8O3bsiK6urim3zcd/rPbt2xfr168vr++555648sorY/ny5SfsPXz4cExMTERExJIlS2LZsmUREXHBBRfEypUrIyLi4MGD5RMG6urqoq6ubspzTExMxKOPPhoREdXVr36G4uqrr44lS5aU95RKpSmnFFRXV0dV1dQ/pBSLxSm/n8f+aNQz3VNVVVWe6VjHfmr1TPfMh2uanJws//iGiIjly5dHTU3Ngr6m05nXNbkm13T61zQxMRH79++fMstVV10VS5YsiQMHDpRvq6+vP+FHhE5OTsbIyEh53dDQcMI84+PjUz6pefyPg4mIGBsbi7GxsYh49fdlxYoVJ+wZHR2N8fHxiIiora2N+vr6E/bMlE8R4Zrm4JpGRkam/OidY3/Mz0K9pojK+z65JtfkmlzTQr+mAwcOTPmxctdff31cfPHFC/qaIirv++SaXJNrck0L+ZomJibiy1/+cnm9adOmaGhoWNDXVInfJ9fkmlyTa1ro1/Tss8/G1772tfL6ZD8ye6FdUyV+n1yTa3JNrmkhX9Px/z/aW9/61nLPY6Fe0/Eq4fvkmlzT8df04sGx+Oj9D8ffP/7CCfuP17Hh0vgP7746qibH5/U1HatSvk+u6Z+vabqewEK9pqMq6fs0F9f0yCOPxFve8pbybXv37o1169adsDcpit3zzGxL3cfatm1bbN++/aT39fb2Rnt7+4yPOZti9/bt2084IXw+/mN1fLE76X/ZJiYm4oknnphy29GSIADzi/dsAAAAAAAAAEjHP+Vfitvu3RPPD49Nu6++tib+80+sj/e1XprSZADpd02Pd+LRlWSqo6MjCoVCtLS0zKrUHRHR3d0du3fvjpaWlhPu27Jly0kfc955553VnNM52RwAAAAAAAAAAAAsXpPFUvz+wBNx693/NGOpe+1FjfGXH3q7Ujew6Ch2zyPbt2+PwcHBiHi1rH06WltbY//+/dHZ2Tnl9kKhEDt27Dhhfy6XO+M5Z5LkcwMAAAAAAAAAALCwPD98OP7Vf/1a/O7A41EsTb/3lusvi8984AfiypUr0hkOYB5R7J5H7rjjjoh4taTd3t5+Rs/R09MTW7dunXJbf3//CfuOP1V7aGjojF4vImL//v1T1s3NzWf8XAAAAAAAAAAAAFSOf3jyxXj3738l/uHJl6bd17C0Jn7//W+KO973xlhWW5PSdADzi2L3PDEwMBCFQiEiIrq6us7qubq7u6O1tXXKcx/v+GL30dc+E8eXwo99bQAAAAAAAAAAABafyWIpPvm3j8VP/8nX4sWDY9Puff3FTfHZ226I977pkpSmA5iflmQ9AK8aHBwsf71x48azfr677747NmzYEBEnL20fX+w+G/l8fsr6uuuum7PnhjNRLBZjbOyf/zBYV1cX1dU+xwLA3BkbG4unnnqqvL7iiiuirq4uw4kAqETyBoCkyRoA0iBvAEiarIH56bkDh+O2e/fE154amnHvz7zltfH//sjrnNLNvCZvSIti9zyxf//+8tdzUbpubW2NXC437Uncra2tUwrl+Xz+jF77+NdwYjdZK5VKU4rdS5cuzXAaACrR2NhYPPbYY+X1qlWr/IUNgDknbwBImqwBIA3yBoCkyRqYf770+AvxkfseiqGRI9Pua6xbEt3tb4x3v+HilCaDMydvSIsjbCvY0ZO/T1XWbmtrm7I+/uTt2Tr2cblcbk5PAwcAAAAAAAAAAGD+m5gsRvdfPxr/+r8+MGOp+w2XnBOfve3tSt0Ax1HsnidWr15d/vpMC9ancqqi9c033zxlfezp3bN1/GndnZ2dp/0ckITq6uryLwCYa9XV1dHY2Fj+JW8ASIK8ASBpsgaANMgbAJIma2B+eLowGu/f8U/xR1/cP+Pef/MDl0ff//PWeO15DSlMBnND3pCWJVkPwKuOPT17YGAgWltbz/o5d+3aFRERHR0dJ72/tbU1Wltby4Xu/v7+2Lp162m9xsDAwJT18WVxyEJNTU00NTVlPQYAFWzFihXxrne9K+sxAKhw8gaApMkaANIgbwBImqyB7P3do8/FR+9/OAqHxqfd17RsSfx2xzXxQ+suSmkymDvyhrT4yMA80draWj5Zu6en56yfb3BwMAqFQuRyubjppptOua+rq6v89dEi+Ono7+8vf93S0jInhXQAAAAAAAAAAADmt/HJYvznz30jfu6/75qx1P2my3LxudtuUOoGmIFi9zyybdu2iIjI5/Oxffv2s3quLVu2REREd3d35HK5U+7r7Ows318oFKKvr++0XmfHjh3lr+eikA4AAAAAAAAAAMD89t2hQ9Hxx/8Yd3/5qRn3brnhiri/661xWfPyFCYDWNgUu+eRzs7OaGtri4hXS96nW7I+atu2bTE4OBhtbW3R2dk54/677757ymNn69jyeXt7e3l2AAAAAAAAAAAAKtPf7Hs2fuTOL8dD3y1Muy+3vDb+5F9vjP/3R14fS5eoKgLMhnfLeaa/vz9aW1sjIqKjo+O0Tu4uFArlx7S2tkZ/f/+sHtfe3h5bt26NiFdPC59NuXtwcLC8r7W1NXp7e2c9JwAAAAAAAAAAAAvL2MRk/Ppf7ouu/293HDg8Me3eja89Nz5/2w1x4+suTGk6gMqwJOsBONHu3bujq6srduzYEdu2bYv77rsvuru7T3kidqFQiG3btsWOHTsi4tWTv3t6ek7rNbu7u+O8886Lbdu2lcvk3d3dJ907ODgYN954Y0S8WurevXv3ab0WJK1YLMbo6Gh5XV9fH9XVPscCwNwZHR2NvXv3ltfr16+P+vr6DCcCoBLJGwCSJmsASIO8ASBpsgbS8Z2XDsUH7hmMr3//lRn3/uI7V8dHNl8dtTX6OlQOeUNaFLvnqZ6enujo6Iju7u4YGBiIzZs3R0REW1tbtLS0RETE0NBQDA4ORj6fj4hXS9bTFcBnsnXr1mhrayuf+t3X1xddXV3R2toazc3Nkc/n47777ou+vr7I5XLR3d1dPukb5pNSqRTj4+Pl9bJlyzKcBoBKND4+Hk8//XR5vWbNGn9hA2DOyRsAkiZrAEiDvAEgabIGkvf5rz8T2/oeieGx6U/pbm5YGr9785viHVdfkNJkkB55Q1oUu+extra2aGtri3w+H319fdHf3x/5fD4GBgYiIiKXy0VLS0ts3bo1br755mhtbT3r12xtbY39+/fH4OBg9PT0xH333Rd33HFHFAqFyOVysXHjRoVuAAAAAAAAAACAReCJ54bjA/cMRqk0/b43X9Ecd95ybVzY5ABGgLOh2L0AHC1vp1mmbm1tjZ6entRerxJVVVWdcFtppj/hMCeqqqqitrZ2yhpgOsVi8YTbvHcwndra2li1atWUNQDMNXkDQNJkDQBpkDcAJE3WQLKuurAxuv7F6vjjL+0/6f1VVREf2nRl3HbjVbGkpjrl6SA98oa0KHZDQqqrT/yDyuTkpDf0FFRXV0dDQ0PWYwALyMmK3Sd7H4ej6uvr47rrrst6DAAqnLwBIGmyBoA0yBsAkiZrIHkf+8Gr48FvDcXub7885fbzV9TF7938pnj7VednNBmkR96QFo0lSEhVVVXU1NRMuW1sbCyjaQCYzvHvzzU1NU7sBgAAAAAAAICIqK2pjj+45drILf/nAy1/4Mrz4vMffrtSN8AcU+yGBC1btmzKenh4OKNJAJjO8e/Px79/AwAAAAAAAMBitipXH59ovyZqqqvio5uvjj/7uTfHykb/bR1gri3JegCoZE1NTTEyMlJeHzx4MIrFYlRX+0wFwHxRLBbj4MGDU25ramrKaBoAAAAAAAAAmJ/aXn9h7PzYO+M15y3PehSAiqVdCglqbGycsi6VSvHKK69kNA0AJ/PKK69EqVSactvx798AAAAAAAAAUGkOHZmI//LlfBSLpZk3/19K3QDJcmI3JKimpiYaGhqmnNr97LPPxpIlS5QGEzQ5OTnl97yhoSFqamoynAiYr4aHh+PZZ5+dcpv3DGbj4MGD8cADD5TX119/faxYsSLDiQCoRPIGgKTJGgDSIG8ASJqsgTPz+HPD8YE/H4wnnj8YYxPF+MCmK7MeCeY1eUNaFLshYU1NTVNKxhER3/ve9+Kiiy6Kc845J6qrHZyfhGKxmPUIwDxWLBbjlVdeOaHUHfHq+zbMpFgsxvDw8JQ1AMw1eQNA0mQNAGmQNwAkTdbA6SmVSnH/ru/Gx//Pvjg8/uq/L5/sfzyuv6I5rru8OePpYP6SN6RFsRsSds4558To6GgUCoUptz/77LPx3HPPxYoVK6KxsTHq6uqiurpa0XsOTE5OxuTkZHk9MTERpdLsf2QMUHmKxWIUi8UYGxuL4eHhOHjw4EnfF3K5XJxzzjkZTAgAAAAAAAAAyTo4NhH/4X99PT7z0NNTbp8sluJD9+yJz3/4hmhuWJrRdABEKHZD4qqqquKiiy6KiDih3F0qlWJ4eHjKJ3k4e6VSaUphs6qqKqqqqjKcCFgIcrlcXHTRRd4vmJW6urpYs2bNlDUAzDV5A0DSZA0AaZA3ACRN1sDsvTg8FgPffP6k9z174HB87P6H4k/+9XVRXe2/m8Px5A1pUeyGFExX7mbuKXIDp0upm9NVV1cXa9euzXoMACqcvAEgabIGgDTIGwCSJmtg9i4/vyF+831viNvu3XPS+x9/7mA8PzwWF52zLOXJYP6TN6SlOusBYLE4Wu6++OKLo6GhIetxAIiIhoaGuPjii5W6AQAAAAAAAFgUfuyaVXHL9ZedcPsPvv7C+PxtNyh1A2TMid2QoqqqqsjlcpHL5WJycjKGh4fjwIEDcfjw4ZicnMx6PICKV1NTE8uWLYumpqZobGyMmpqarEcCAAAAAAAAgFR9/D3rYs93CvHos8NRW1MV//7dr4uffdvlDkQDmAcUuyEjNTU15ZJ3RESpVIpisRilUinbwQAqUFVVVVRXV/tLKAAAAAAAAACL3rLamrjr1tb44D2Dsb39jfHGS3NZjwTA/6XYDfNEVVWVk2MBAAAAAAAAAIDEXblyRXz+thuiutoBaQDziWI3UHEOHDgQO3fuLK83bdoUTU1NGU4EQKWRNQCkQd4AkDRZA0Aa5A0ASZM18Ko933k5PvG3j8Uf/fSGaFpWO6vHKHXD7Mkb0lKd9QAAAAAAAAAAAADA6SuVSvFfvpyPjj/+x/iHJ1+K2//i61EqlbIeC4Az5MRuAAAAAAAAAAAAWGBeHjkSv9T7cHzh0efLt33ukWfibavPi59682sznAyAM6XYDVSc+vr62Lhx45Q1AMwlWQNAGuQNAEmTNQCkQd4AkDRZw2K1+9tD8aF79sTTrxw+4b5f/8tvxLWXnRuvX9WUwWRQmeQNaVHsBipObW1tXHLJJVmPAUAFkzUApEHeAJA0WQNAGuQNAEmTNSw2xWIpev4+H5/428dislg66Z4jE8X44D2D8X8+9PZYUaciCHNB3pAW79oAAAAAAAAAAAAwz710cCw+ev/D8aXHX5hx77WvOTeqq1IYCoA5pdgNAAAAAAAAAAAA89jX8i/FbZ/eE88dGJt2X31tTfzHH18f7RsuTWkyAOaSYjcAAAAAAAAAAADMQ5PFUvzhzifjdwcej2Jp+r1rLmyMu269Nq66sDGd4QCYc4rdQMWZnJyMkZGR8rqhoSFqamoynAiASiNrAEiDvAEgabIGgDTIGwCSJmuoZC8Mj8VH7nsovvLkizPuff91l8XH37Mu6pf65x+SIG9Ii2I3UHFGRkZi586d5fWmTZuiqakpw4kAqDSyBoA0yBsAkiZrAEiDvAEgabKGSvXVJ1+M2z79ULx4cGzafQ1La+I33/eGeO+bLklpMlic5A1pUewGAAAAAAAAAACAeWCyWIrf/8IT8Qd/90SUStPvfd3FTfGpW6+NlgtWpDMcAIlT7AYAAAAAAAAAAICMPXfgcHz403vin/JDM+796be8Jv7Dj7w+ltXWpDAZAGmpKpVm+lwPVIZ9+/bF+vXry+u9e/fGunXrMpyIpExOTsbIyEh53dDQEDU1/hALwNyRNQCkQd4AkDRZA0Aa5A0ASZM1VIq/f/yF+Mh9D8VLI0em3beibkn81k++IX70jatSmgyIkDeLSdZdUyd2AxWnpqYmmpqash4DgAomawBIg7wBIGmyBoA0yBsAkiZrWOgmJovxyf7H4w+/uH/GvW+45Jy469Zr47XnNaQwGXAseUNaFLsBAAAAAAAAAAAgZc+8Mhq33bsnHvzWyzPu/dm3XR63v3tt1C1xQjBAJVPsBgAAAAAAAAAAgBTtfPT5+Oj9D8XLh8an3de0bElsb78mfnj9RSlNBkCWFLsBAAAAAAAAAAAgBeOTxfjE3zwWPX+fn3HvNZfl4q5bro3LmpenMBkA84FiN1BxxsfH4/nnny+vV65cGbW1tRlOBEClkTUApEHeAJA0WQNAGuQNAEmTNSwk33v5UHzo3j2x5zuFGfduueGK+OUfWhtLl1QnPxgwI3lDWhS7gYozOjoau3btKq83bdokRAGYU7IGgDTIGwCSJmsASIO8ASBpsoaF4m/3PRu/3PdIvDI6Pu2+3PLa+ET7NdH2+gtTmgyYDXlDWhS7AQAAAAAAAAAAIAFHJopxx199M/7bP3xrxr0bXntu3HnLtXFJrj75wQCYlxS7AQAAAAAAAAAAYI5956VD8cF7B+OR770y495feMfq+NgPXh21NdUpTAbAfFVVKpVKWQ8Badi3b1+sX7++vN67d2+sW7cuw4kAAAAAAAAAAIBK9Fdffya29j0Sw2MT0+5rblgan7zpmnjnmpUpTQbAdLLumjqxGwAAAAAAAAAAAObA4fHJ+M3PfzP+7B+/PePe669ojjvff21cdM6yFCYDYCFQ7AYAAAAAAAAAAICz9O2XRuIX/3ww9j19YNp9VVURH9x0ZXz4xqtiSU11StMBsBAodgMAAAAAAAAAAMBZKpUivv3SoWn3nL9iafzezdfG2686P6WpAFhIfNwHAAAAAAAAAAAAztLl5zfEb77vDae8/22rz4vP33aDUjcAp+TEbqDijI2NxVNPPVVeX3HFFVFXV5fhRABUGlkDQBrkDQBJkzUApEHeAJA0WcN882PXrIp/3P9S3PvAd8q3VVdFfPjGq+OD77oyaqqrMpwOOFPyhrQodgMVZ2xsLB577LHyetWqVUIUgDklawBIg7wBIGmyBoA0yBsAkiZrmI8+/p7Xx57vvByPPjscFzTWxZ3vvzbeuvq8rMcCzoK8IS3VWQ8AAAAAAAAAAAAAlWJZbU186qda44fWXRh/9eEblLoBmDUndgMVp7q6OhobG6esAWAuyRoA0iBvAEiarAEgDfIGgKTJGtI0WSxFTXXVrPauvmBF9PzMxoQnAtIib0hLValUKmU9BKRh3759sX79+vJ67969sW7dugwnAgAAAAAAAAAA5rtSqRS9u78X//UrT0XvL7w1GpfVZj0SAAnJumvqIwMAAAAAAAAAAABwEiNjE/HR+x+OrX2PxKPPDsev/MXXw1mqACRFsRsAAAAAAAAAAACO881nDsR77vpK/K893y/f9rlHnol7HvhOhlMBUMkUuwEAAAAAAAAAAOAY//Dki/Hjn/qHyL8wcsJ9v/6X34hvPH0gg6kAqHSK3QAAAAAAAAAAAHCMay7Lxapc/UnvOzJRjA/eMxiHjkykPBUAlW5J1gMAzLXR0dHYu3dveb1+/fqorz/5H7QB4EzIGgDSIG8ASJqsASAN8gaApMkakrKibkncdeu18RN/+NU4MlGccl9tTVX89FteG/W1NRlNB6RN3pAWxW6g4oyPj8fTTz9dXq9Zs0aIAjCnZA0AaZA3ACRN1gCQBnkDQNJkDUlat+qc+NUfeV386v/eV77tsub6uOuW1rjmslx2gwGpkzekpTrrAQAAAAAAAAAAAGA++um3vDbe/YaLIiLiX66/KD77oRuUugFIjBO7gYpTW1sbq1atmrIGgLkkawBIg7wBIGmyBoA0yBsAkiZrSFpVVVX81k++Md559cro2HhpVFVVZT0SkAF5Q1qqSqVSKeshIA379u2L9evXl9d79+6NdevWZTgRAAAAAAAAAACQtlKpFPtfGIkrV67IehQA5pmsu6bVqb0SAAAAAAAAAAAAZKhw6Ehs+bPd8d67vhL5Fw5mPQ4ATKHYDQAAAAAAAAAAQMXb/e2X40fu/EoMfPO5GDkyGR+4Z08cHp/MeiwAKFPsBgAAAAAAAAAAoGIVi6Xo+dL+uLnnH+P7hdHy7d985kD8x89+I8PJAGCqJVkPAAAAAAAAAAAAAEkYGjkSH7v/odj52Asnvf/Pv/adeOvq8+JH37gq5ckA4ESK3UDFOXjwYDzwwAPl9fXXXx8rVqzIcCIAKo2sASAN8gaApMkaANIgbwBImqxhOg88NRS33bsnnj1weNp9v/Z/vhFtr7swltXWpDQZsNDIG9Ki2A1UnGKxGMPDw1PWADCXZA0AaZA3ACRN1gCQBnkDQNJkDSdTLJbij760Pz7Z/3hMFkvT7r1q5Yr41E+1KnUD05I3pEWxGwAAAAAAAAAAgIrw4sGx+Mh9D8WXn3hxxr0dGy6NX3/vuli+VI0OgPlBIgEVp66uLtasWTNlDQBzSdYAkAZ5A0DSZA0AaZA3ACRN1nCsf9z/Unz403vi+eGxafctX1oT/+nH18f7Wi9NaTJgoZM3pEWxG6g4dXV1sXbt2qzHAKCCyRoA0iBvAEiarAEgDfIGgKTJGiIiJoul+IO/eyLu/MITUSxNv3ftRY1x162tceXKFekMB1QEeUNaFLsBAAAAAAAAAABYkJ4fPhz/7tMPxVf3vzTj3luuf018/D2vj2W1NSlMBgCnT7EbAAAAAAAAAACABecrT7wY/+6+PfHiwSPT7mtYWhN3/OQb48euWZXSZABwZhS7AQAAAAAAAAAAWDAmJovxewNPxKe++GSUStPvff3FTfGpn2qNK85vSGc4ADgLit0AAAAAAAAAAAAsCM++cjhu+/SeeOCpoRn3/qu3vjb+/btfF8tqa1KYDADOnmI3UHEOHDgQO3fuLK83bdoUTU1NGU4EQKWRNQCkQd4AkDRZA0Aa5A0ASZM1i8sXH3s+Pnr/wzE0cmTafY11S6K7/Y3x7jdcnNJkQKWTN6RFsRsAAAAAAAAAAIB5a3yyGL/zt4/HH39p/4x733jpOXHXLa3xmvOWpzAZAMwtxW4AAAAAAAAAAADmpe8XRuO2e/fE7m+/POPen/uBK+JX/uXaWLqkOoXJAGDuKXYDFae+vj42btw4ZQ0Ac0nWAJAGeQNA0mQNAGmQNwAkTdZUtoFvPBe/1PdwFA6NT7uvadmS+ETHNfGD6y5KaTJgsZE3pEWxG6g4tbW1cckll2Q9BgAVTNYAkAZ5A0DSZA0AaZA3ACRN1lSmIxPF2P7Xj8Z/+cpTM+699jW5+INbro1Lz12ewmTAYiVvSItiNwAAAAAAAAAAAPPCd4cOxQfv3RMPf7cw496uf9ESv/RDa6K2pjr5wQAgBYrdAAAAAAAAAAAAZO6v9z4bW/sejgOHJ6bdd+7y2vidm66Jd629MKXJACAdit0AAAAAAAAAAABkZmxiMu74/KPx37/6rRn3Xnf5uXHnLdfGxefUJz8YAKRMsRuoOJOTkzEyMlJeNzQ0RE1NTYYTAVBpZA0AaZA3ACRN1gCQBnkDQNJkzcL37ZdG4oP37Imvf/+VGff+4jtXx0c3Xx1LaqpTmAzgn8kb0qLYDVSckZGR2LlzZ3m9adOmaGpqynAiACqNrAEgDfIGgKTJGgDSIG8ASJqsWdg+98gz8Sv/85EYHpuYdt95DUvjkze/Kd5x9QUpTQYwlbwhLYrdAAAAAAAAAAAApKpv9/fil3ofnnHfW1qa4/fff21c2LQshakAIFt+JgUAAAAAAAAAAACp+uH1F8UV5zec8v6qqojbbrwq/vzn36LUDcCiUVUqlUpZDwFp2LdvX6xfv7683rt3b6xbty7DiUjK5ORkjIyMlNcNDQ1RU1OT4UQAVBpZA0Aa5A0ASZM1AKRB3gCQNFmzsO17+pX4iT/8ahyZKE65/fwVdXHn+98Ub7vy/IwmA5hK3iweWXdNl6T2SgApqampiaampqzHAKCCyRoA0iBvAEiarAEgDfIGgKTJmoVt3apz4ld/5HXxq/97X/m2t195fvzuzW+KCxrrMpwMYCp5Q1qqsx4AAAAAAAAAAACAxemn3/LaePcbLorqqoiPbb46/vTnrlfqBmDRcmI3AAAAAAAAAAAAmaiqqorf+sk3xr/5gSviusubsx4HADLlxG4AAAAAAAAAAADmzKEjE7HrW0Oz3t+0rFapGwDCid1ABRofH4/nn3++vF65cmXU1tZmOBEAlUbWAJAGeQNA0mQNAGmQNwAkTdbMP48+eyA+8OeD8ewrh+MvP/T2aLlgRdYjAZw1eUNaFLuBijM6Ohq7du0qrzdt2iREAZhTsgaANMgbAJImawBIg7wBIGmyZv4olUpx34PfjY//n30xNlGMiIgP3LMn/tcvvi2W1dZkPB3A2ZE3pKU66wEAAAAAAAAAAABYuA6OTcS/u++h+JW/+Hq51B0R8c1nDsR//Ow3MpwMABYWxW4AAAAAAAAAAADO2P/a8/343w89fdL7/vxr34nPPnLy+wCAqapKpVIp6yEgDfv27Yv169eX13v37o1169ZlOBEAAAAAAAAAACx8xWIpfu5PH4wvPvbCSe9fe1FjfP62G6K6uirlyQDg9GTdNXViNwAAAAAAAAAAAGesuroqfqfjmriwqe6E+35o3YVxX+dblboBYBYUuwEAAAAAAAAAADgr562oizvff20c7W8vramOX3vP6+OPf3pDnLO8NtvhAGCBUOwGAAAAAAAAAADgrL255bz4SNvV8Zrm5fE//5+3xc/+wBVRVeWkbgCYrSVZDwAAAAAAAAAAAEBl+MVNV8bP/sDl0bjMKd0AcLoUu4GKMzY2Fk899VR5fcUVV0RdXV2GEwFQaWQNAGmQNwAkTdYAkAZ5A0DSZE3yHvpuIb6Wfym63rF6VvtrqquUuoGKI29Ii2I3UHHGxsbiscceK69XrVolRAGYU7IGgDTIGwCSJmsASIO8ASBpsiY5pVIp/uQrT8Vv/dWjMVEsxVUXroh3rb0w67EAMiFvSEt11gMAAAAAAAAAAAAwfxQOHYktf7Yr/tPnvhkTxVJERHzs/ofjmVdGM54MACqbE7uBilNdXR2NjY1T1gAwl2QNAGmQNwAkTdYAkAZ5A0DSZM3c2/3tofjQPXvi6VcOT7n95UPjcdu9e+LeLW+JJTV+n4HFRd6QlqpSqVTKeghIw759+2L9+vXl9d69e2PdunUZTgQAAAAAAAAAAPNDsViKnr/Pxyf+9rGYLJ66UvaL71wdW394bYqTAUB6su6aOrEbAAAAAAAAAABgEXvp4Fh8rPfh+OJjL8y49/nhsSiVSlFVVZXCZACwuCh2AwAAAAAAAAAALFJfy78Ut316Tzx3YGzaffW1NfEff3x9tG+4NKXJAGDxUewGAAAAAAAAAABYZCaLpfjDnU/G7w48HsXS9HuvvnBFfOrW1rjqwsZ0hgOARUqxGwAAAAAAAAAAYBF5YXgsPnLfQ/GVJ1+cce/7r7ssPv6edVG/tCaFyQBgcVPsBirO6Oho7N27t7xev3591NfXZzgRAJVG1gCQBnkDQNJkDQBpkDcAJE3WnL6vPvlifPi+h+KF4bFp9zUsrYnffN8b4r1vuiSlyQDmL3lDWhS7gYozPj4eTz/9dHm9Zs0aIQrAnJI1AKRB3gCQNFkDQBrkDQBJkzWzN1ksxe9/4Yn4g797Ikql6fe+7uKm+NSt10bLBSvSGQ5gnpM3pEWxGwAAAAAAAAAAoII9d+BwfPjTe+Kf8kMz7v2pN78mfvVHXx/LamtSmAwAOJZiN1BxamtrY9WqVVPWADCXZA0AaZA3ACRN1gCQBnkDQNJkzcz+/vEX4iP3PRQvjRyZdt+KuiXxWz/5hvjRN66adh/AYiRvSEtVqTTTD9aAyrBv375Yv359eb13795Yt25dhhMBAAAAAAAAAEAyJiaL8cn+x+MPv7h/xr3rL2mKT93aGq89ryGFyQBg/sq6a+rEbgAAAAAAAAAAgAryzCujcdu9e+LBb708496ffdvlcfu710bdkpoUJgMApqPYDQAAAAAAAAAAUCF2Pvp8fPT+h+LlQ+PT7mtctiR+u/2N8cPrL05pMgBgJordAAAAAAAAAAAAC9z4ZDE+8TePRc/f52fce81lubjrlmvjsublKUwGAMyWYjcAAAAAAAAAAMAC9r2XD8WH7t0Te75TmHHvz7/9itj6w2tj6ZLq5AcDAE6LYjdQcQ4ePBgPPPBAeX399dfHihUrMpwIgEojawBIg7wBIGmyBoA0yBsAkiZrIv5237Pxy32PxCuj49PuO6e+Nn6n45poe/2FKU0GUDnkDWlR7AYqTrFYjOHh4SlrAJhLsgaANMgbAJImawBIg7wBIGmLOWuOTBTjjr/6Zvy3f/jWjHs3vPbcuPOWa+OSXH3ygwFUoMWcN6RLsRsAAAAAAAAAAGAB+c5Lh+KD9w7GI997Zca9v/CO1fGxH7w6amuqU5gMADgbit1Axamrq4s1a9ZMWQPAXJI1AKRB3gCQNFkDQBrkDQBJW4xZ81dffya29j0Sw2MT0+5rblgan7zpmnjnmpUpTQZQuRZj3pANxW6g4tTV1cXatWuzHgOACiZrAEiDvAEgabIGgDTIGwCStpiy5vD4ZPzm578Zf/aP355x7/VXNMed7782LjpnWQqTAVS+xZQ3ZEuxGwAAAAAAAAAAYB576sWR+OA9g7Hv6QPT7quqivjgpivjwzdeFUtqqlOaDgCYK4rdAAAAAAAAAAAA81j/N56dsdR9/oql8Xs3Xxtvv+r8lKYCAOaaj2UBAAAAAAAAAADMYz//9pZ455oLTnn/21afF5+/7QalbgBY4BS7AQAAAAAAAAAA5rHq6qr4nY5r4sKmuqm3V0V8pO3q+P/+7ZtjZdOyjKYDAObKkqwHAJhrBw4ciJ07d5bXmzZtiqampgwnAqDSyBoA0iBvAEiarAEgDfIGgKQtpqw5b0Vd3Pn+a+OWu/8piqWIlY118fvvvzbeuvq8rEcDqHiLKW/IlmI3AAAAAAAAAADAAvDmlvPiI21XxwPfGorfvflNcf6KupkfBAAsGIrdAAAAAAAAAAAAC8QHNl0ZH4iI6uqqrEcBAOaYYjdQcerr62Pjxo1T1gAwl2QNAGmQNwAkTdYAkAZ5A0DSFnrWlEql6N39vfjey6Px0c1Xz+oxCt0A6VvoecPCodgNVJza2tq45JJLsh4DgAomawBIg7wBIGmyBoA0yBsAkraQs2ZkbCL+w2f2xv/a8/2IiLj2slxsWrsy46kAOJmFnDcsLNVZDwAAAAAAAAAAALCYfPOZA/Geu75SLnVHRHz0/ofimVdGM5wKAMiaYjcAAAAAAAAAAEBK/mLwe/HeT/1D5F8YmXL7y4fG47Z798TEZDGjyQCArCl2AwAAAAAAAAAApOTchqVxZOLk5e0Hv/Vy/O7A4ylPBADMF0uyHgBgrk1OTsbIyD9/qrWhoSFqamoynAiASiNrAEiDvAEgabIGgDTIGwCSthCzZtOaldH1jpbo+VL+hPtqa6ri/BV1GUwFwHQWYt6wMCl2AxVnZGQkdu7cWV5v2rQpmpqaMpwIgEojawBIg7wBIGmyBoA0yBsAkrZQs+aXfnBN7PrWy7H72y+Xb7usuT7uuqU1rrksl91gAJzUQs0bFp7qrAcAAAAAAAAAAABYTGprquPOW66Nc+prIyLiX66/KD77oRuUugFgkXNiNwAAAAAAAAAAQMouydXHJ2+6Jr5fGI2fectro6qqKuuRAICMVZVKpVLWQ0Aa9u3bF+vXry+v9+7dG+vWrctwIpIyOTkZIyMj5XVDQ0PU1NRkOBEAlUbWAJAGeQNA0mQNAGmQNwAkbb5lTan0/2fv3sOrrM984d85EcIhBBCs4Imggk2sEA7ajp0WhXbGaaedCqJ2OnsOlcy0VacHQbtnv515d7cWdm1Hq52CnXfP7D31BG1nTw/TkSi19qAIwUPSKkrw0KKiQAiEEEKy3j8cVg1gEiDreZKVz+e6cjW/tX7ree77Wsi3S+/8kom2js4YMcx5mwD5ZKDlDbmT9qyp/wcB5J2ioqIoLy9PuwwA8pisASAJ8gaAXJM1ACRB3gCQawMpa5r3HYjr1zwZ+zs645//bG4UFjqBGyBfDKS8Ib8Vpl0AAAAAAAAAAADAYFb/4q74g9t+Gmt/+Wo8/Ozr8Q8PbUm7JABgEDLYDQAAAAAAAAAAcBy6ujKx8qEtcfk3fhG/aW7LPv6VtZvjsed3plgZADAYGewGAAAAAAAAAAA4RjtbD8TH//eGuPnfn46DXZluz3V2ZeKauzbFztYDKVUHAAxGxWkXANDfOjo6Yvv27dn1xIkTo6SkJMWKAMg3sgaAJMgbAHJN1gCQBHkDQK6llTWPPb8zrrlrU7zSsv8t97zSsj/+5l+fiq9/dFbO6wEgt3y2ISkGu4G809bWFhs2bMiu582bJ0QB6FeyBoAkyBsAck3WAJAEeQNAriWdNV1dmfiHh7bEV9Zujs7DTuk+3NkTR8Wn55+Ts1oASI7PNiTFYDcAAAAAAAAAAEAvXt/bHp++9/F4+NnXe917+exT4+/+sDrKhhUlUBkAkC8MdgMAAAAAAAAAAPTgF1t2xHX3bIrte9p73DdiWFH8jz+qjj+aeWpClQEA+aQgk8n0/DtBIE80NjZGdXV1dt3Q0BBVVVUpVgQAAAAAAAAAwEDW2ZWJ2x98Lm59YHN09TJlNf1to+OOj9bE1AmjkikOAOh3ac+aOrEbAAAAAAAAAADgMNv37I+/vufx+PmWHb3uveqC0+P/+cDbY3hJUQKVAQD5ymA3AAAAAAAAAADAm/z02dfjr+/dFK/vPdDjvlGlxXHzR86LD54/KaHKAIB8ZrAbAAAAAAAAAAAgIg52dsWtDzwbt697LjKZnvdWTy6P26+siTNPGplMcQBA3jPYDQAAAAAAAAAADHmv7N4f196zKdZv3dnr3v/yzjPi839wbpQWFyVQGQAwVBjsBvJOe3t7bN26NbueMmVKlJaWplgRAPlG1gCQBHkDQK7JGgCSIG8AyLX+ypofP7M9PnPfE7Gz9UCP+0YPL44Vl70jfv+8U475HgAMXj7bkBSD3UDeaW9vj2eeeSa7njRpkhAFoF/JGgCSIG8AyDVZA0AS5A0AuXaiWdPR2RW33L85vvHQll73nn/qmLj9qpo4bdyI46oVgMHLZxuSYrAbAAAAAAAAAAAYcrY1t8U1d2+KjS/s6nXvX1w0JZb93vQYVlyYQGUAwFBlsBvIO4WFhTF69OhuawDoT7IGgCTIGwByTdYAkAR5A0CuHW/W1P3y1fjcmieieV9Hj/vGlJXElxedHwvefvIJ1QnA4OazDUkpyGQymbSLgCQ0NjZGdXV1dt3Q0BBVVVUpVgQAAAAAAAAAQJIOHOyKFT96Or7506297q05vSJuu3JmnDp2RAKVAQADQdqzpk7sBgAAAAAAAAAA8t5LO/fFp+7eFE+81Nzr3tr3VMbn3jctSoqcyAoAJMdgNwAAAAAAAAAAkNd+1PBKXL/midiz/2CP+8aOKImvXD4j5k2fmFBlAAC/ZbAbAAAAAAAAAADIS+0HO+PmHz4d//Tz53vdO+fMsXHblTPjlDFluS8MAOAoDHYDAAAAAAAAAAB554UdrfGpuzbFU7/Z3eO+goKIT773rPjr+WdHcVFhQtUBABzJYDeQd9ra2qKhoSG7rq6ujrIyP00LQP+RNQAkQd4AkGuyBoAkyBsAcu2tsub7T26LG779VOxtP9jj68ePHBZ/f8WMePfZE3JdKgCDmM82JMVgN5B3Ojo6Ytu2bdn1tGnThCgA/UrWAJAEeQNArskaAJIgbwDItaNlze0/eSHuWLel19e+s3J83HrFjJhYPjyXJQKQB3y2ISkGuwEAAAAAAAAAgLwx58xxEfHWg90FBRHXXnx2XHvJ2VFUWJBcYQAAvTDYDeSdkpKSmDRpUrc1APQnWQNAEuQNALkmawBIgrwBINeOljXvnVYef/meqfGNh44c7p4wujRuXTwj3nXWSUmWCcAg57MNSSnIZDKZtIuAJDQ2NkZ1dXV23dDQEFVVVSlWBAAAAAAAAABALnR0dsUVqx6JjS/syj727rNPiq9cPiMmjC5NsTIAYCBLe9a0MLE7AQAAAAAAAAAAJKCkqDBuu3JmjCkricKCiM+975z45z+ba6gbABjQitMuAAAAAAAAAAAAoL9NriiL266cGcOLC+OCyvFplwMA0CuD3QAAAAAAAAAAwKDQ2n4wDhzsirEjh/Vp/3vOmZDjigAA+k9h2gUAAAAAAAAAAAD05ulXWuIPb/9pXHvPpujqyqRdDgBAv3NiN5B39u7dG+vXr8+u586dG6NGjUqxIgDyjawBIAnyBoBckzUAJEHeANAfMplM3PPYS/G3/9YY7Qe7YstrrfGNn2yJT7z3LFkDQCLkDUkx2A3kna6urtizZ0+3NQD0J1kDQBLkDQC5JmsASIK8AeBE7dnfEZ//bkN874lt3R6/5f7NMefMcTFtXLGsASDnfLYhKYVpFwAAAAAAAAAAAHA0y7795BFD3RERnV2ZuPbuTdG8ryOFqgAAcsOJ3UDeKS0tjWnTpnVbA0B/kjUAJEHeAJBrsgaAJMgbAE7U9e+fHg8981q0Hug84rmXd++P2x9+Kf78PFkDQG75bENSDHYDeae0tDSmT5+edhkA5DFZA0AS5A0AuSZrAEiCvAHgRE05aWTcfNk74tq7Nx3x3O9VvS3+6weqYkxZSQqVATCU+GxDUgrTLgAAAAAAAAAAAOCt/OH5k+LKuadn18OKCuPv/rAq/uGPawx1AwB5xYndAAAAAAAAAADAgPaFD749Nr24K9o6OuP2K2vivFPHpF0SAEC/M9gNAAAAAAAAAAAMaMNLiuLOP5kdY0aURPlwp3QDAPnJYDcAAAAAAAAAAJC4TS/uipKiwqie3LfTt08bNyLHFQEApMtgN5B3WlpaYt26ddn1vHnzory8PMWKAMg3sgaAJMgbAHJN1gCQBHkDwNFkMpn45sNbY/mPno7JY8vi+9dcFKOP8xRuWQNAEuQNSSlMuwAAAAAAAAAAAGBo2NV6ID7+zxvif/zwV3GwKxMv7NgXN3znqchkMmmXBgCQOoPdAAAAAAAAAABAzm14fmdcetvD8cDT27s9/oMnX4671r+YUlUAAANHcdoFAPS3srKymD17drc1APQnWQNAEuQNALkmawBIgrwBICKiqysT3/jJlrjl/s3R2XX0k7n/7nu/jJmnjY23Tyo/pmvLGgCSIG9IisFuIO+UlJTE5MmT0y4DgDwmawBIgrwBINdkDQBJkDcA7NjbHp+574l4aPNrPe47cLArftTw8jEPdssaAJIgb0iKwW4AAAAAAAAAAKDfPdK0I667Z1O82tLe476ykqL44oer47JZpyZUGQDAwGSwGwAAAAAAAAAA6DedXZm4Y91z8fd1m6Mr0/PeaSePjjs+OjPOmjg6meIAAAYwg90AAAAAAAAAAEC/2L5nf3z63sfjZ8/t6HXvlXNPiy98sCqGlxQlUBkAwMBnsBvIO52dndHa2ppdjxw5MoqKfAgEoP/IGgCSIG8AyDVZA0AS5A3A0PKz516P6+55PF7f297jvpHDiuKmj5wXH5ox+YTvKWsASIK8ISkGu4G809raGuvWrcuu582bF+Xl5SlWBEC+kTUAJEHeAJBrsgaAJMgbgKGhsysTt9Ztjq+tey4ymZ73nntKedxx1cyonDCqX+4tawBIgrwhKQa7AQAAAAAAAACA4/Jqy/649u5N8ejWnb3u/diFZ8R//YNzY3iJE04BAI7GYDcAAAAAAAAAAHDMHtr8Wnz63sdjZ+uBHveNLi2OL132jviDd5ySUGUAAINTQSbT2y9AgfzQ2NgY1dXV2XVDQ0NUVVWlWBG50tnZGa2trdn1yJEjo6jIT/sC0H9kDQBJkDcA5JqsASAJ8gYgPx3s7Ipb1m6Of/jxll73njd5TNx+1cw4Y/zInNQiawBIgrwZOtKeNXViN5B3ioqKory8PO0yAMhjsgaAJMgbAHJN1gCQBHkDkH+2NbfFtXdvig0v7Op175/9zplxw+9Pj9Li3A2+yRoAkiBvSIrBbgAAAAAAAAAAoFcPPv1qfOa+J6J5X0eP+8qHF8f/XHR+vL/qbQlVBgCQHwx2AwAAAAAAAAAAb6mjsytW/OjpuPPhrb3unXFaRXztyplx2rgRCVQGAJBfDHYDAAAAAAAAAABH9dLOfXHN3Zvi8Zeae9179bunxPXvnx7DigtzXxgAQB4y2A3knY6Ojti+fXt2PXHixCgpKUmxIgDyjawBIAnyBoBckzUAJEHeAAxu/9H4Sly/+olo2X+wx30VI0rilkXnxyXnnpxQZb8lawBIgrwhKQa7gbzT1tYWGzZsyK7nzZsnRAHoV7IGgCTIGwByTdYAkAR5AzA4tR/sjC/9+9Pxv372fK97Z58xNm67cmZMqijLfWFHIWsASIK8ISkGuwEAAAAAAAAAgIiIeHHHvvjkXfXx1G9297r3E++dGp9ecE6UFBUmUBkAQP4z2A0AAAAAAAAAAMQPn3o5lq15Mva0H+xx37iRw+Kri2fEe86ZkFBlAABDQ0Emk8mkXQQkobGxMaqrq7PrhoaGqKqqSrEiAAAAAAAAAID07e/ojP/xg1/F/3nkhV73XjBlXNx25cw4uXx4ApUBACQr7VlTJ3YDAAAAAAAAAMAQtfX11vjkt+rjly+39LivoCDimnlnxbWXnB3FRYUJVQcAMLQY7AYAAAAAAAAAgCFq2bef7HWo+6RRpfH3i2fERWeflFBVAABDkx+fAwAAAAAAAACAIWr5Ze+IkcOK3vL53zlrfPzwuosMdQMAJMBgNwAAAAAAAAAADFFTThoZN33kvCMeLyyI+MyCc+J///kFMXH08BQqAwAYeorTLgCgv7W3t8fWrVuz6ylTpkRpaWmKFQGQb2QNAEmQNwDkmqwBIAnyBmBw+NCMyfFI0464e/1LERExcXRp3HblzLiwcnzKlfVO1gCQBHlDUgx2A3mnvb09nnnmmex60qRJQhSAfiVrAEiCvAEg12QNAEmQNwCDxxc+WBWbXmyOieXD4yuXnx8njRocf1/LGgCSIG9IisFuAAAAAAAAAAAY4oaXFMW/fPyCGDdiWBQWFqRdDgDAkGSwG8g7hYWFMXr06G5rAOhPsgaAJMgbAHJN1gCQBHkDkJ5MJhOrN/w6zj2lPM47dUyfXjNYTul+M1kDQBLkDUkpyGQymbSLgCQ0NjZGdXV1dt3Q0BBVVVUpVgQAAAAAAAAA0P9a2w/G3/xrQ3x302/ijPEj4vvXXBSjh5ekXRYAwICX9qypHxkYhOrr66O2tjZmzZoVY8eOjYKCghg7dmzMmjUrVqxYkbN7TJ06NRYsWBBr1qzpl3sAAAAAAAAAANC/frmtJT74tZ/Gdzf9JiIiXtixL274zlPh7EcAgIHPYPcgUldXF1OnTo1Zs2bFqlWrYty4cbFkyZJYuXJlLFmyJMaNGxfLli2LsWPHRl1d3XHdo76+PmbNmhWzZs2K++67LxYvXhyrV6+OjRs3xrJlyyIiYtGiRVFQUJBdAwAAAAAAAACQrkwmE9969IX48Nd/Fk2vt3Z77gdPvhx3rX8xpcoAAOir4rQLoHfNzc1x9dVXZ0/KXrJkSSxfvjwqKirecu+CBQti7dq1MX/+/D7fZ82aNbFo0aKIiFi6dGksX7682/M1NTWxZMmSqKuri0WLFsWKFSuirq4uHnjggaPWAgAAAAAAAABAch5t2hkHDnYd9bm/+94vY+ZpY+Ptk8oTrgoAgL5yYvcA19zcHLNmzcoOda9duzZWrlz5loPUFRUVsXr16pg/f37U1tb2+T4rVqzocaj7zebPnx8bN26MioqK7AnfAAAAAAAAAACkp6CgIG76yHlx5vgRR30+k8nE06+0JFwVAADHwondA9ihoe6mpqaIiNi4cWPU1NT0+Jq6urqora3Nvqaurq7XU7vr6upi2bJlEfHG0HZPQ92HVFZWxp133hmLFi2KpqamWLRoUaxevbovbUHOtbW1RUNDQ3ZdXV0dZWVlKVYEQL6RNQAkQd4AkGuyBoAkyBuAZI0qLY7br6qJj3z953Gg87cnd582rixuv7Imzj+tIr3ickTWAJAEeUNSnNg9gL15qHvlypW9DnVHRCxYsCD7moiI+vr6Xl/z5pO9Dw1498XChQujsrIyIiLWrFkTdXV1fX4t5FJHR0ds27Yt+9XR0ZF2SQDkGVkDQBLkDQC5JmsASIK8AUhe9eQx8d8+cG52fel5b4sfXPvuvBzqjpA1ACRD3pAUg90D1JtP3Z4/f34sWbKk19e8eaD7kC1btvT4mlWrVmVfV1lZ2evp3ker85BjGQoHAAAAAAAAACA3/vjCM+KPZk6O//6hqrjjqpooH16SdkkAAPRBcdoFcKT6+vpYtWpVdr18+fI+va6ysjIqKyu7DXgvWLCgx9esXLky+/2xDnVHvHFq96GB7vr6+mhqasqe4g1pKSkpiUmTJnVbA0B/kjUAJEHeAJBrsgaAJMgbgP6TyWSioKCgT3sLCgriK5ef3+f9g5msASAJ8oakGOwegBYtWpT9vqamJmpqavr82rVr18ayZcuiubk5Fi1aFAsXLnzLvU1NTVFfX59dz5o165hrPXyIe+XKlX0eRIdcKSsrizlz5qRdBgB5TNYAkAR5A0CuyRoAkiBvAPpH874D8bnVT8YHzz8lPjRjcp9eMxSGuiNkDQDJkDckxWD3AFNXV9ftxO3a2tpjen1lZWWsXr26T3vXrFnTbT179uxjuteb73mo5jVr1hjsBgAAAAAAAADoJxtf2BXX3FUf23bvj19seT3OmzwmKieMSrssAAByoDDtAuju8KHo+fPn5+xea9eu7bY+/PTtvnrz65qamqK5uflEygIAAAAAAAAAGPK6ujLxjYe2xOUrfxHbdu+PiIjWA53xybs2xf6OzpSrAwAgFwx2DyBNTU1RV1eXXVdUVBz3sHVfbNiwodu6oqLiuK5zeI2HXxcAAAAAAAAAgL7b2Xog/vyfH4sv/fvT0dmV6fbcr15uiS/+4JcpVQYAQC4Z7B5A1qxZ0209e/bsnN3r8JO1j3eo+2ivPfwkcAAAAAAAAAAA+mb91p1x6a0Px4+fee0t9/zLIy/G95/clmBVAAAkoTjtAvitwweiFyxYkLN7NTU19du1xo8fn7Nrw/HYu3dvrF+/PrueO3dujBo1KsWKAMg3sgaAJMgbAHJN1gCQBHkD0HddXZn4+o+fi6+s3RyHHdJ9hHNOHhXTTh6dTGEDnKwBIAnyhqQY7B5A6urquq0rKyu7revr62PlypVRV1cXTU1NUVFREZWVlTF79uyora2NmpqaPt/rzad19zeD3aStq6sr9uzZ020NAP1J1gCQBHkDQK7JGgCSIG8A+ua1Pe3xmfsej4effb3XvZfPPjX+7g+ro2xYUQKVDXyyBoAkyBuSUph2Abyhvr7+iMcqKiqy3y9btixmzZoVFRUVsXz58ti4cWPceeedMX/+/Ljvvvti1qxZMWvWrKNe52gOH74eN27cCdX/ZrkcGgcAAAAAAAAAyCc/3/J6XHrbw70OdY8YVhRfXXx+rFh4vqFuAIA85cTuAeJop1wfGrZesGBBRETs2rWr27B3TU1NLFy4MG688cZYtGhR1NXVxaxZs2LlypWxZMmSHu+3Y8eOfqv9zTVFOLGb9JWWlsa0adO6rQGgP8kaAJIgbwDINVkDQBLkDcBb6+zKxNcefDZue+DZ6Mr0vHf620bHHR+tiakTRiVT3CAiawBIgrwhKQa7B4idO3ce8VhFRUWsWLEidu7cGRs3bnzL11ZUVMTatWuzJ3bX1tZGc3NzLF26NJclw4BVWloa06dPT7sMAPKYrAEgCfIGgFyTNQAkQd4AHN32lv1x3T2Pxy+aej+Y76oLTo//5wNvj+ElTuk+GlkDQBLkDUkx2D1ANDc3H/FYU1NT3HzzzbF169Y+XWP16tUxderUiIhYtmxZ1NTUxPz58/t0v8NP3R4Knnzyydi3b1+MGDHiiOf2798fBw8ejIiI4uLiGD58eERETJgwISZOnBgREXv37o2urq6IeOMv7aP9BE5LS0v2+7KysigpKen2fGdnZ7S2tmbXI0eOjKKi7h/EOjo6oq2tLbsuLy8/4j7t7e3R3t4eERGFhYUxatSRP6Hb1tYWHR0dERFRUlISZWVlR+zRk570pCc96UlPetKTnvSkJz3pSU960pOe9KQnPelJT3rSk570pCc96UlPue3pP554IW78v8/Ezn0dRzz3ZiOHFcUXLj07Lptz5oDvKR/fJz3pSU960pOe9DQ0e9q7d+8RjyfJYPcAsWPHkT+BuXz58rj88sv7PHRdWVkZS5YsiVWrVkVExKJFi2Lr1q1Dcmi7L6666qpjfs0XvvCF+Nu//duIiFi/fn3s2bMnIiKmTZt21J/GWbduXfb72bNnx+TJk7s939ra2m3PvHnzjvgLZfv27bFhw4bs+kMf+tAR99m6dWs888wzERExevTouPjii4/Y09DQENu2bYuIiEmTJsWcOXOO2KMnPelJT3rSk570pCc96UlPetKTnvSkJz3pSU960pOe9KQnPelJT3rSk55y09PBzq74+7pn4451z0YmCo547ZudOjITf3p2e5S+2hCtrRMGbE+H5NP7pCc96UlPetKTnoZ2T+vXrz/i8SQVpnp3so52YnddXV3U1tYe03UWLVrU7Zo333zziZYGAAAAAAAAAMAJeHl3W1x156Nx+7rneh3qvnLWKfHp6s6YcOShlwAA5DmD3QNYZWVl1NTUHNNrZs+e3W29YsWKPr3uaIPlAAAAAAAAAACcmHVPb49Lb3041j+/s8d9o4cXxz98tCZufP9ZUWyiBwBgSCrIZDKZtIsgora2NlatWtXtsSVLlsTKlSuP+Vpjx47tNqi9evXqWLhwYY/3q6ysjC1bthzzvSIiVq1adcTJ4gPxj1VjY2NUV1dn13fddVecddZZMWLEiCP27t+/Pw4ePBgREcXFxTF8+PCIiJgwYUJMnDgxIiL27t0bXV1dERFRWloapaWlR1ynpaUl+31ZWVmUlJR0e76zszNaW1uz65EjR0ZRUVG3PR0dHdHW1pZdH/4rBCIi2tvbo729PSIiCgsLY9SoUUfsaWtri46OjoiIKCkpibKyI3+0N196amlp6farF+bOnRsjR44c1D29Wb68T3rSk570NJh7am1t7fard978a34Ga08R+fc+6UlPetLTYO/paJ9tTjnllEHdU0T+vU960pOe9DSYezp48GA8/PDD2fW8efNi5MiRg7qnfHyf9KQnPelpsPf0yiuvxKOPPppdH+1XZg+2nvLxfdKTnvSUm54Ki0viaz9+Plb+pOmIfYc7/9QxcftVNXHauBEDuqeB+D4d/u/R3vnOd2bnPAZrT4fLh/dJT3rSk54Ge089zQkM1p4Oyaf3qT96evLJJ+PCCy/MPtbQ0BBVVVVH7M0Vg90DxLJly444XXv58uWxdOnSY77W1KlTo6nptx8KjjYgfvj9TmSwe8WKFbFs2bJujw3EP1aHD3Yn/Q8byTn8Q9vR/gUhAJwIWQNAEuQNALkmawBIgrwBhqrfNLfFNXfVR/2Lzb3u/YuLpsSy35sewxzTfVxkDQBJkDdDR9qzpsWJ3YkejR8//ojHKisrj+taFRUV3dZ1dXV9ul9/Od66AQAAAAAAAAAGu7W/fDU+t/qJ2N3W0eO+MWUl8eVF58eCt5+cUGUAAAx0BrsHiKMNQx8+oH28du7cmbNrH00urw19UVZWFrNnz+62BoD+JGsASIK8ASDXZA0ASZA3wFBy4GBXLP/R0/GPP93a696a0yvititnxqljRyRQWX6TNQAkQd6QFIPdA0R/nnI9bty4buvm5uZe73e04e++2rJlS4/3h6SVlJTE5MmT0y4DgDwmawBIgrwBINdkDQBJkDfAUPHSzn3xqbvq44lf7+51b+17KuNz75sWJUWFCVSW/2QNAEmQNyTFYPcAUVNTc8RjRxvI7ou+DGkfPth9vPc62v2O1gsAAAAAAAAAQD76UcPLcf2aJ2PP/oM97hs7oiS+cvmMmDd9YkKVAQAw2BjsHkAqKyujqamp369bUVFx1Hv1l8NrnjNnTr9dGwAAAAAAAABgIGo/2Bk3/eBX8c+/eKHXvXPPHBe3XjkjThlTlkBlAAAMVn6nywBy+EnXxzvkffjp2281xJ2r+zmxGwAAAAAAAADIZ8+/3hqX/cPPex3qLiiI+NS8s+Kuqy8w1A0AQK+c2D2ALF68ONasWZNdb9mypV+uO3/+/Ld8vL6+Prtuamo6rpO83zwQXlFR0a+ngcPx6OzsjNbW1ux65MiRUVRUlGJFAOQbWQNAEuQNALkmawBIgrwB8tH3ntgWN37nqdjbfrDHfSeNGhZfXTwj3n32hIQqG5pkDQBJkDckxWD3ALJw4cJu6w0bNhzXdQ4/eXvBggVH3bd48eJYsWJFdl1fX/+WQ+Bv5fDTupcsWXJMr4dcaG1tjXXr1mXX8+bNi/Ly8hQrAiDfyBoAkiBvAMg1WQNAEuQNkE8OdnbF//NvjXHXoy/2uvedlePj1itmxMTy4QlUNrTJGgCSIG9ISmHaBdDdmwej33yadl8dPtRdUVHxlsPaNTU1UVNTk12vXbv2mO9XV1fXbb148eJjvgYAAAAAAAAAwEBXVFgQe/b3fEp3QUHEX88/O/7l4xcY6gYA4JgZ7B5gamtru62Pdbj78EHr5cuX9/l+x3NC+JuHwSsrK7sNigMAAAAAAAAA5IuCgoK46Y+q48zxI476/ITRpfGtj18Qfz3/nCgqLEi4OgAA8kFBJpPJpF0E3dXW1saqVasiImLhwoWxevXqPr921qxZ2WHwysrK2LJlS6+vGTt2bDQ3N0dExOrVq2PhwoV9vl9BwW8/iKxdu/YtTwcfCBobG6O6ujq7bmhoiKqqqhQrIlc6OzujtbU1ux45cmQUFRWlWBEA+UbWAJAEeQNArskaAJIgb4B81PCb3fGRr/88DnR2ZR9799knxVcunxETRpemWNnQJGsASIK8GTrSnjV1YvcAtHz58qioqIiIiDVr1hxxCvdbWbVqVbcTvt98mnZP7rzzzuz3y5Yt63OdK1asyH6/cOHCAT3UzdBSVFQU5eXl2S8BCkB/kzUAJEHeAJBrsgaAJMgbIB9VTx4Tf/OBcyMiorAg4vr3T4t//rO5hrpTImsASIK8ISkGuwegioqKbqd0L1q0KJqamnp8TX19fdTW1mbXq1evjsrKyj7db+HChbF06dKIiGhqaurTcHd9fX12X01NzTGdKg4AAAAAAAAAMJh97MIz4r+884y4Z8k745PzzorCwoLeXwQAAL0w2D1AzZ8/PzZu3BgREc3NzTF16tRYs2bNUfeuWrUqZs2aFRFvDIVv3LgxFi5ceEz3W758eSxfvjwi3jiJu6fh7vr6+rjkkksi4o2h7kN1AgAAAAAAAAAMVu0HO/u8t6CgIP7uQ9Uxd8q4HFYEAMBQY7B7AKupqYktW7bE/PnzI+KNk7unTp0aixYtitra2liwYEGMHTs2e1L3kiVLYuvWrVFTU3Nc91u6dGls3LgxKisrY8WKFTF16tRYsWJF1NXVRX19faxZsyYWLVqUHSJfvny5oW4AAAAAAAAAYNB7+pWWuPTWh+NfN/0m7VIAABjCCjKZTCbtIuhdfX193HvvvbFmzZrYuXNnNDc3R2VlZVRWVsaCBQtiyZIlUVFR0a/3W7lyZWzYsCGampqiubk5KioqYvbs2bFgwYJYunRpv90rKY2NjVFdXZ1dNzQ0RFVVVYoVkSsdHR2xffv27HrixIlRUlKSYkUA5BtZA0AS5A0AuSZrAEiCvAEGukwmE/c+9lJ84d8ao/1gV4wcVhTfu+aiqJwwKu3S6CNZA0AS5M3QkfasaXFid+KE1NTURE1NTSxfvjyx+61cuTKRe0F/a2triw0bNmTX8+bNE6IA9CtZA0AS5A0AuSZrAEiCvAEGsr3tB+Pz33kq/u2JbdnHWg90xifv2hTf/cS7YnhJUYrV0VeyBoAkyBuSUph2AQAAAAAAAAAAkKQDB7viw3f8rNtQ9yG/erkl/vv3f5lCVQAADHUGuwEAAAAAAAAAGFKGFRfGZTWnvuXz33r0xfhRwysJVgQAABEFmUwmk3YRkITGxsaorq7OrhsaGqKqqirFigAAAAAAAACAtHR1ZeLP//mx+PEzrx3x3PurTo4VC8+PMWUlKVQGAEBa0p41dWI3AAAAAAAAAABDTmFhQdyy6Pw4ubw0+9iwosL4uz+sim/88SxD3QAAJM5gNwAAAAAAAAAAQ9L4UaVx2xUzo7Ag4ozxI+Lbf/Wu+C/vOjMKCgrSLg0AgCGoOO0CAAAAAAAAAAAgLRdUjo9/+ONZ8a6p42P0cKd0AwCQHid2AwAAAAAAAACQVxq37Y6Ozq4+739/1dsMdQMAkDondgN5p729PbZu3ZpdT5kyJUpLS1OsCIB8I2sASIK8ASDXZA0ASZA3QNK6ujLxjz/dGst/9HT8xbunxI2/f27aJZFjsgaAJMgbkmKwG8g77e3t8cwzz2TXkyZNEqIA9CtZA0AS5A0AuSZrAEiCvAGStKv1QHx29RPx4NPbIyJi5UNNceGU8TFv+sSUKyOXZA0ASZA3JKUw7QIAAAAAAAAAAOBEbHh+Z1x628PZoe5DPnPf4/Hy7raUqgIAgGPjxG4g7xQWFsbo0aO7rQGgP8kaAJIgbwDINVkDQBLkDZBrXV2Z+MZPtsQt92+Ozq7MEc/v2tcR1969Ke6++sIoLvJ3UD6SNQAkQd6QlIJMJnPk/6uFPNTY2BjV1dXZdUNDQ1RVVaVYEQAAAAAAAABwvF7f2x6fue+J+Mnm13rd+w8frYnfP++UBKoCAGAwS3vW1IndAAAAAAAAAAAMKo807Yhr794U2/e097ivrKQovvjhakPdAAAMCga7AQAAAAAAAAAYFDq7MnHHuufi7+s2R1cvv6N+2smj446P1sRZE0clUxwAAJwgg90AAAAAAAAAAAx42/fsj0/f+3j87Lkdve69cu5p8YUPVsXwkqIEKgMAgP5hsBsAAAAAAAAAgAHtZ8+9Htfd83i8vre9x30jhxXFTR85Lz40Y3JClQEAQP8x2A3knba2tmhoaMiuq6uro6ysLMWKAMg3sgaAJMgbAHJN1gCQBHkDnKjOrkzcWrc5vrbuuchket577inlccdVM6NywqhkimNAkDUAJEHekBSD3UDe6ejoiG3btmXX06ZNE6IA9CtZA0AS5A0AuSZrAEiCvAFOxKst++PauzfFo1t39rr3YxeeEf/1D86N4SVFCVTGQCJrAEiCvCEpBrsBAAAAAAAAABhQHtr8Wnz63sdjZ+uBHveNLi2OL132jviDd5ySUGUAAJA7BruBvFNSUhKTJk3qtgaA/iRrAEiCvAEg12QNAEmQN8CxOtjZFbes3Rz/8OMtve49b/KYuP2qmXHG+JEJVMZAJWsASIK8ISkFmUwmk3YRkITGxsaorq7OrhsaGqKqqirFigAAAAAAAACAQ7Y1t8W1d2+KDS/s6nXvn77rzLjx0ulRWlyUQGUAAAwVac+aOrEbAAAAAAAAAIBUPfj0q/GZ+56I5n0dPe4rH14c/3PR+fH+qrclVBkAACTHYDcAAAAAAAAAAKno6OyKFT96Ou58eGuve2ecVhFfu3JmnDZuRAKVAQBA8gx2AwAAAAAAAACQuJd27otr7t4Uj7/U3Oveq989Ja5///QYVlyY+8IAACAlBrsBAAAAAAAAAEjUfzS+EtevfiJa9h/scV/FiJK4ZdH5ccm5JydUGQAApMdgN5B39u7dG+vXr8+u586dG6NGjUqxIgDyjawBIAnyBoBckzUAJEHeAIdrP9gZN//w6finnz/f697ZZ4yN266cGZMqynJfGIOWrAEgCfKGpBjsBvJOV1dX7Nmzp9saAPqTrAEgCfIGgFyTNQAkQd4Ab/bCjtb41F2b4qnf7O5171+9d2p8ZsE5UVJUmEBlDGayBoAkyBuSYrAbAAAAAAAAAICc+sGTL8cN334y9rQf7HHfuJHD4iuXnx/vnTYxocoAAGDgMNgN5J3S0tKYNm1atzUA9CdZA0AS5A0AuSZrAEiCvAH2d3TGF3/wy/iXR17sde/cKePititmxtvGDE+gMvKFrAEgCfKGpBjsBvJOaWlpTJ8+Pe0yAMhjsgaAJMgbAHJN1gCQBHkDQ9vW11vjk9+qj1++3NLjvoKCiGvmnRXXXnJ2FBcVJlQd+ULWAJAEeUNSDHYDAAAAAAAAANCvdrd1xIfv+Fnsbuvocd9Jo0rj7xfPiIvOPimhygAAYODyY44AAAAAAAAAAPSrMWUlUfueyh73vGvq+PjhdRcZ6gYAgP9ksBsAAAAAAAAAgH73l787Nd5zzoQjHi8siPjMgnPi//zFBTFx9PAUKgMAgIHJYDcAAAAAAAAAAP2usLAgvnL5+XFyeWn2sYmjS+NbH78wrr3k7CgqLEixOgAAGHiK0y4AoL+1tLTEunXrsut58+ZFeXl5ihUBkG9kDQBJkDcA5JqsASAJ8gYYP6o0brtiZlx55yPxO2edFF9dPCNOGlXa+wuhj2QNAEmQNyTFYDcAAAAAAAAAADlzQeX4uK/2nVFz+tgodEo3AAC8pcK0CwAAAAAAAAAAYPDIZDLxo4ZXoqOzq8+vmX3mOEPdAADQCyd2A3mnrKwsZs+e3W0NAP1J1gCQBHkDQK7JGgCSIG8g/+xtPxh/892n4l8f3xa1v1sZN156btolMcTJGgCSIG9IisFuIO+UlJTE5MmT0y4DgDwmawBIgrwBINdkDQBJkDeQX365rSU+dVd9NL3eGhERK3/SFBdUjouLp5+ccmUMZbIGgCTIG5JSmHYBAAAAAAAAAAAMXJlMJr716Avx4a//LDvUfchn73siXt7dllJlAACQXwx2AwAAAAAAAADwlpr3dcQt92+OAwe7jnhu176OuPbuTXGw88jnAACAY2OwGwAAAAAAAACAtzR25LC45fLz3/L5x19qjid+3ZxcQQAAkKeK0y4AoL91dnZGa+tvf/3XyJEjo6ioKMWKAMg3sgaAJMgbAHJN1gCQBHkD+WPetIlR+57KWPlQU7fHTx83Im6/ama849SKdApjyJM1ACRB3pAUg91A3mltbY1169Zl1/PmzYvy8vIUKwIg38gaAJIgbwDINVkDQBLkDeSXz71vWmx4fldsfGFXRET8wXmnxM2XnRflw0tSroyhTNYAkAR5Q1IK0y4AAAAAAAAAAICBr6SoMG67cmacXF4a//3D1XH7VTMNdQMAQD9yYjcAAAAAAAAAAH0yuaIsHrp+XgwvKUq7FAAAyDsFmUwmk3YRkITGxsaorq7OrhsaGqKqqirFisiVzs7OaG1tza5HjhwZRUX+pQIA/UfWAJAEeQNArskaAJIgb2Dga953IG764a9i6e9Nj5NGlaZdDhwzWQNAEuTN0JH2rKkTu4G8U1RUFOXl5WmXAUAekzUAJEHeAJBrsgaAJMgbGNg2vrAzrrlrU2zbvT9eaWmPf/rTOVFYWJB2WXBMZA0ASZA3JKUw7QIAAAAAAAAAAEhOV1cm/uHHW+LylY/Ett37IyLiJ5tfi2/8ZEvKlQEAwNDmxG4AAAAAAAAAgCFix972+OzqJ+LHz7x2xHO33L855pw5LuacOS6FygAAACd2AwAAAAAAAAAMAY827YhLb3v4qEPdERGdXZm49u5Nsav1QMKVAQAAEU7sBvJQR0dHbN++PbueOHFilJSUpFgRAPlG1gCQBHkDQK7JGgCSIG9gYOjsysTX1z0XX63bHF2ZnveOHl4cLfs7YuzIYckUBydI1gCQBHlDUgx2A3mnra0tNmzYkF3PmzdPiALQr2QNAEmQNwDkmqwBIAnyBtL32p72+PS9j8dPn3u9171XzDktvvDBqigbVpRAZdA/ZA0ASZA3JMVgNwAAAAAAAABAHvr5c6/Hdfc+Hq/tae9x38hhRXHTR86LD82YnFBlAADA0RjsBgAAAAAAAADII51dmbj1gWfjaw8+G5lMz3vPPaU87rhqZlROGJVMcQAAwFsqyGR6+7/wkB8aGxujuro6u25oaIiqqqoUKwIAAAAAAACA/vVqy/647p5N8UjTzl73fvSC0+O/feDtMbykKIHKAABg4Et71tSJ3QAAAAAAAAAAeeAnm1+LT9/7eOxoPdDjvlGlxfGly86LD7xjUkKVAQAAfWGwGwAAAAAAAABgEDvY2RVfrdscX//xlujt97ZXTy6PO66qiTPGj0ymOAAAoM8MdgMAAAAAAAAADFIv726La+/eFI89v6vXvX/6rjPjxkunR2lxUQKVAQAAx8pgNwAAAAAAAADAILTu6e3xmfsej137OnrcN3p4cfzPhe+I36s+JaHKAACA42GwG8g77e3tsXXr1ux6ypQpUVpammJFAOQbWQNAEuQNALkmawBIgryB3Ojo7Iov/8czsfInTb3uPf+0irj9yplx2rgRCVQGyZM1ACRB3pAUg91A3mlvb49nnnkmu540aZIQBaBfyRoAkiBvAMg1WQNAEuQN9L9f79oX19y9KTa92Nzr3o9fNCWW/t70GFZcmPvCICWyBoAkyBuSYrAbAAAAAAAAAGAQuL/xlbh+zZOxu62jx31jykrilkXnx/y3n5xQZQAAQH8w2A3kncLCwhg9enS3NQD0J1kDQBLkDQC5JmsASIK8gf5x4GBXfOnfn47/72dbe90764yxcduVM2NyRVkClUH6ZA0ASZA3JKUgk8lk0i4CktDY2BjV1dXZdUNDQ1RVVaVYEQAAAAAAAAD07KWd++JTd9XHE7/e3evev3zP1Pjs+86JkiKDRgAAcDzSnjV1YjcAAAAAAAAAwAD0o4aX4/o1T8ae/Qd73Ddu5LC45fLzY960iQlVBgAA5ILBbgAAAAAAAACAAWR/R2fc/MNfxT//4oVe9849c1zcduXMeNuY4QlUBgAA5JLBbgAAAAAAAACAAeL511vjk3fVR+O2lh73FRREfGreWXHdJWdHcVFhQtUBAAC5ZLAbAAAAAAAAAGAA+N4T2+LG7zwVe9sP9rjvpFHD4quLZ8S7z56QUGUAAEASDHYDeaetrS0aGhqy6+rq6igrK0uxIgDyjawBIAnyBoBckzUAJEHeQN/s7+iM//f7v4y7Hn2x173vrBwft14xIyaWD0+gMhj4ZA0ASZA3JMVgN5B3Ojo6Ytu2bdn1tGnThCgA/UrWAJAEeQNArskaAJIgb6Bvdrd1xI8aXulxT0FBxHWXnB3XXHx2FBUWJFQZDHyyBoAkyBuSUph2AQAAAAAAAAAAQ9nJ5cPjK5ef/5bPTxhdGt/6+AXx1/PPMdQNAAB5zIndQN4pKSmJSZMmdVsDQH+SNQAkQd4AkGuyBoAkyBvou/dOmxh/+Z6p8Y2HtnR7/N1nnxRfXTwjThpVmlJlMLDJGgCSIG9ISkEmk8mkXQQkobGxMaqrq7PrhoaGqKqqSrEiAAAAAAAAAPitjs6uuGLVI7HxhV1RWBDx2fdNi796z9QodEo3AAAkIu1Z08LE7gQAAAAAAAAAwFsqKSqMr105M6a/bXTcs+Sd8cl5ZxnqBgCAIaQ47QIAAAAAAAAAAHjDpIqy+Pfr3h0FBQa6AQBgqHFiNwAAAAAAAABAjvzq5Za46s5H4vW97X1+jaFuAAAYmgx2AwAAAAAAAAD0s0wmE3c9+mJ8+I6fxc+37IhP3/t4dHVl0i4LAAAYwIrTLgCgv+3duzfWr1+fXc+dOzdGjRqVYkUA5BtZA0AS5A0AuSZrAEiCvGGo2rO/Iz7/3Yb43hPbso89/Ozr8Y2fbIlPvPesFCuD/CNrAEiCvCEpBruBvNPV1RV79uzptgaA/iRrAEiCvAEg12QNAEmQNwxFL+3cFx/7x0fj+R37jnjulvs3x5wzx8WcM8elUBnkJ1kDQBLkDUkpTLsAAAAAAAAAAIB8MWF0aYwYdvRz9jq7MnHt3ZtiV+uBhKsCAAAGAyd2A3mntLQ0pk2b1m0NAP1J1gCQBHkDQK7JGgCSIG8YioaXFMUdH62JD9z2cLQe6Dzi+fNPrYjCwoIUKoP8JGsASIK8ISkFmUwmk3YRkITGxsaorq7OrhsaGqKqqirFigAAAAAAAADIV//38d/Edfc8nl0PKyqMv/nAufGxC8+IggKD3QAAMBClPWtamNidAAAAAAAAAACGiA/NmBxXzj0tIiLOGD8ivvOJd8WfvPNMQ90AAMBbKk67AAAAAAAAAACAfPSFD1bFmLJh8cl5U2P08JK0ywEAAAY4J3YDAAAAAAAAAPTRrtYDfd47vKQobvj96Ya6AQCAPjHYDQAAAAAAAADQi66uTKx8aEv8zvIHo+E3u9MuBwAAyEPFaRcA0N9aWlpi3bp12fW8efOivLw8xYoAyDeyBoAkyBsAck3WAJAEeUO+2Nl6ID63+ol48OntERHxybvq4/vXXOQkbhgAZA0ASZA3JMWJ3QAAAAAAAAAAb+Gx53fGpbc+nB3qjoh4Yce+uPE7T0Umk0mxMgAAIN8Y7AYAAAAAAAAAOExXVybuWPdcXLHqkXilZf8Rz3//yZfj7vUvpVAZAACQr4rTLgCgv5WVlcXs2bO7rQGgP8kaAJIgbwDINVkDQBLkDYPV63vb49P3Ph4PP/t6j/v+7nuN8d5pE2JShT/bkBZZA0AS5A1JMdgN5J2SkpKYPHly2mUAkMdkDQBJkDcA5JqsASAJ8obB6BdbdsR192yK7Xvae9w3YlhRfPHD1Ya6IWWyBoAkyBuSYrAbAAAAAAAAABjyOrsycfuDz8WtD2yOrkzPe6e/bXTcflVNnDVxVDLFAQAAQ4LBbgAAAAAAAABgSNu+Z3/89T2Px8+37Oh175VzT48vfPDtMbykKIHKAACAocRgNwAAAAAAAAAwZP302dfjr+/dFK/vPdDjvpHDiuLmy94Rf3j+pIQqAwAAhhqD3UDe6ezsjNbW1ux65MiRUVTkp+UB6D+yBoAkyBsAck3WAJAEecNAdrCzK2594Nm4fd1zkcn0vLdqUnncflVNTDlpZDLFAX0mawBIgrwhKQa7gbzT2toa69aty67nzZsX5eXlKVYEQL6RNQAkQd4AkGuyBoAkyBsGqld2749r79kU67fu7HXvn7zzjPj8pefG8BKDOzAQyRoAkiBvSIrBbgAAAAAAAABgyPjxM9vjM/c9ETtbD/S4b3RpcSxf+I649LxTEqoMAAAY6gx2AwAAAAAAAAB5r6OzK265f3N846Etve59x6lj4vYra+L08SMSqAwAAOANBZlMJpN2EZCExsbGqK6uzq4bGhqiqqoqxYrIlc7Ozmhtbc2uR44cGUVFfi0aAP1H1gCQBHkDQK7JGgCSIG8YKLY1t8U1d2+KjS/s6nXvn//OlLjh96fHsOLCBCoDTpSsASAJ8mboSHvW1IndQN4pKiqK8vLytMsAII/JGgCSIG8AyDVZA0AS5A0DwQO/ejU+u/qJaN7X0eO+8uHF8eVF58f7qt6WUGVAf5A1ACRB3pAUg90AAAAAAAAAQN45cLArVvzo6fjmT7f2unfm6RXxtStnxqljRyRQGQAAwNEZ7AYAAAAAAAAA8spLO/fFNXdvisdfau5175LfrYzr3z8tSooKc18YAABADwx2AwAAAAAAAAB54z8aX4nrVz8RLfsP9rhv7IiSuOXy8+Pi6ScnVBkAAEDPDHYDeaejoyO2b9+eXU+cODFKSkpSrAiAfCNrAEiCvAEg12QNAEmQNySp/WBn3PzDp+Offv58r3tnnzE2vnbVzDhlTFnuCwNyStYAkAR5Q1IMdgN5p62tLTZs2JBdz5s3T4gC0K9kDQBJkDcA5JqsASAJ8oakvLCjNT5116Z46je7e937ifdOjc8sOCeKiwoTqAzINVkDQBLkDUkx2A0AAAAAAAAADFo/ePLluOHbT8ae9oM97hs/clh8ZfGMeM85ExKqDAAA4NgY7AYAAAAAAAAABp39HZ3xxR/8Mv7lkRd73Xth5bi49YqZcXL58AQqAwAAOD4FmUwmk3YRkITGxsaorq7OrhsaGqKqqirFigAAAAAAAAA4Hk2v7Y1P3rUpfvVyS4/7Cgoirrn47LjukrOjqLAgoeoAAIDBKu1ZUyd2AwAAAAAAAACDxuMvNcdH73wkWg909rjvpFGlcesVM+J3zjopocoAAABOTGHaBQAAAAAAAAAA9NX0t42OM8aP7HHP75w1Pn543UWGugEAgEHFYDcAAAAAAAAAMGgMLymKOz5aEyOHFR3xXGFBxGcXnBP/+88viImjh6dQHQAAwPEz2A0AAAAAAAAADCpTThoZN33kvG6PnVxeGnddfWFcc8nZUVRYkFJlAAAAx6847QIA+lt7e3ts3bo1u54yZUqUlpamWBEA+UbWAJAEeQNArskaAJIgb8ilD82YHI807Yi7178U7zlnQnzl8vNj/Ch/vmCokTUAJEHekBSD3UDeaW9vj2eeeSa7njRpkhAFoF/JGgCSIG8AyDVZA0AS5A259oUPVsV5kyviijmnRaFTumFIkjUAJEHekJTCtAsAAAAAAAAAAIiIyGQy8dz2vX3eP7ykKK664HRD3QAAQF5wYjeQdwoLC2P06NHd1gDQn2QNAEmQNwDkmqwBIAnyhmOxt/1g/M13n4ofPvVKfOcT74rqyWPSLgkYBGQNAEmQNySlIJPJZNIuApLQ2NgY1dXV2XVDQ0NUVVWlWBEAAAAAAAAAERG/3NYSn7qrPppeb42IiDPGj4jvX3NRjB5eknJlAADAUJL2rKkfGQAAAAAAAAAAUpHJZOJfHnkhPvz1n2WHuiMiXtixL278zlPhrDoAAGAoMdgNAAAAAAAAAKTip8+9Hn/zrw1x4GDXEc99/8mX4+71L6VQFQAAQDoMdgMAAAAAAAAAqbjorJPig+dPesvnb/7hr2J3W0eCFQEAAKTHYDcAAAAAAAAAkIqCgoK46Y+q48zxI4547vRxI+JbV18QY8pKUqgMAAAgecVpFwDQ39ra2qKhoSG7rq6ujrKyshQrAiDfyBoAkiBvAMg1WQNAEuQNfTF6eEncflVNfOTrP48DnV0REfEH550SN192XpQPN9QN9EzWAJAEeUNSDHYDeaejoyO2bduWXU+bNk2IAtCvZA0ASZA3AOSarAEgCfKGvqqePCb+5gPnxhd/8Kv4bx94e/zxBadHQUFB2mUBg4CsASAJ8oakGOwGAAAAAAAAAFL3sQvPiPecMyHOGD8y7VIAAABSYbAbyDslJSUxadKkbmsA6E+yBoAkyBsAck3WAJAEeTO07Wo9EN9/6uX42IVn9Gl/QUGBoW7gmMkaAJIgb0hKQSaTyaRdBCShsbExqqurs+uGhoaoqqpKsSIAAAAAAACA/LTxhZ1xzV2bYtvu/XHrFTPiQzMmp10SAABAr9KeNS1M7E79aPz48XHFFVekXQYAAAAAAAAA8CZdXZn4hx9victXPhLbdu+PiIjPf+epaHptb8qVAQAADHyDcrA7k8nExo0b0y4DAAAAAAAAAPhPO/a2x5/902Ox/EdPR2fXb395eOuBzvjkXZtif0dnitUBAAAMfINysDsioqmpKZ544om0ywAAAAAAAACAIe/Rph1x6W0Px0ObXzvq8796uSW++INfJlwVAADA4DIoB7vHjRsXmUwmFi1alHYpAAAAAAAAADBkdXZl4msPPBtX3vlIvNrS3uPe9Vt3Rmv7wYQqAwAAGHyK0y7geOzcuTMKCgriueeei7lz58bq1avjjDPOSLssYIDYu3dvrF+/PrueO3dujBo1KsWKAMg3sgaAJMgbAHJN1gCQBHmT317b0x6fvvfx+Olzr/e6d/Hs0+Jv/7AqyoYVJVAZMJTIGgCSIG9IyqAc7D6koKAgNmzYEJWVlbFo0aK48cYb4/zzz0+7LCBlXV1dsWfPnm5rAOhPsgaAJMgbAHJN1gCQBHmTv37+3Otx7T2Px+t7ez6le8Sworjpj86LD8+cnFBlwFAjawBIgrwhKYN6sDuTycSSJUuioqIi6urqYubMmTFr1qz4y7/8y/iLv/iLtMsDAAAAAAAAgLzS2ZWJWx94Nr724LORyfS899xTyuOOq2ZG5QQnGQIAAPTFoB7s3rhxY8ycOTO7bmpqiuXLl8f1118fS5Ysidra2qitrXWKNwwxpaWlMW3atG5rAOhPsgaAJMgbAHJN1gCQBHmTX15t2R/X3bMpHmna2evej15wevy3D7w9hpcUJVAZMJTJGgCSIG9ISkEm09vP0A48hYWFMXXq1Hj22Wffcs+aNWviS1/6UtTX1zvFm4iIaGxsjOrq6uy6oaEhqqqqUqwIAAAAAAAAYHD4yebX4tP3Ph47Wg/0uG9UaXF86bLz4gPvmJRQZQAAAP0n7VnTwsTu1I+2bNkSGzZs6HHPwoULY8OGDfHcc8/FxRdfHNdff30UFRXFJz7xiXjhhRcSqhQAAAAAAAAABq+DnV3xP//j6fgv/2t9r0Pd1ZPL4/vXXGSoGwAA4DgNysHuKVOmxJgxY/q0t7KyMpYvXx47d+6Me++9N9avXx+VlZUxZ86c+Md//MccVwoAAAAAAAAAg9PLu9viyjsfiTvWbYnefhf4n77rzPj2X70rzjxpZDLFAQAA5KFBOdh9vA6d4v3ss89mT/EeP358fOITn4jnn38+7fIAAAAAAAAAYEBY9/T2uPTWh+Ox53f1uG/08OL4xh/XxN/+YVWUFhclVB0AAEB+GlKD3Ye8+RTvVatWxT333BNTp06NuXPnxne/+920ywMAAAAAAACAVHR0dsXNP/xV/Nk/PRa79nX0uPf8U8fED699d/xe9SkJVQcAAJDfitMuIC0tLS2xatWquPnmm2P37t2RyWRi48aNsXDhwqioqIja2tpYsmRJnHnmmWmXChyjlpaWWLduXXY9b968KC8vT7EiAPKNrAEgCfIGgFyTNQAkQd4MLr/etS+uuXtTbHqxude9H79oSiz9vekxrHhInicHDCCyBoAkyBuSMuQ+YT344IOxePHiGDt2bCxbtix27Xrj10YVFBREREQmk4ldu3bFfffdF1OnTo05c+Y4xRsAAAAAAACAvHZ/4yvxB7f9tNeh7jFlJfHNP5kdf/OBtxvqBgAA6GdD4lNWS0tLfPnLX46zzz47FixYEGvWrIlMJhOZTCYKCgqy30+ZMiWWL18eu3btiueeey4ee+yxqKmpicsuuyzGjx8fn//856OlpSXtdgAAAAAAAACgXxw42BX/7/d+GUv+z8bY3dbR496a0yvih9e9O+a//eSEqgMAABhaCjKZTCbtIo7V4sWLY86cOfG5z32ux30PPvhgrFy5MtasWRMRb5zGHdH9dO6IiIULF0ZtbW1ccsklR73O7t274957740VK1bE1q1bY9myZXHDDTc4Rn+QaWxsjOrq6uy6oaEhqqqqUqyIXOno6Ijt27dn1xMnToySkpIUKwIg38gaAJIgbwDINVkDQBLkzcD20s598am76uOJX+/udW/teyrjc++bFiVFQ+L8OGAQkTUAJEHeDB1pz5oOysHucePGxdSpU+Oxxx474rmWlpZYtWpVrFy5MpqamiKi+0D3oe8rKyujtrY2lixZEmPGjOnzvevr62PJkiWxdevWePDBB+P888/vh45IQtr/sAEAAAAAAAAMFP/+1Mux9NtPxp79B3vcN27ksLjl8vNj3rSJCVUGAACQnrRnTYsTu1M/OzS0fcjjjz8eN99881FP5z400J3JZHo9nbs3NTU1sWHDhlixYkXU1NREXV1dzJs378SaAQAAAAAAAIAE7O/ojJt++Kv43794ode9c88cF7ddOTPeNmZ4ApUBAAAwaAe7m5ubY86cOTF//vxYs2bNW57Onclkjvt07p4sXbo0KioqYuHChbFjx45+uSYAAAAAAAAA5Mrzr7fGJ++qj8ZtLT3uKyiI+NS8s+K6S86O4qLChKoDAABg0A52R0Rs3Lgx6uvrc3Y6d2+WLFkSa9asic9//vNx00035eQeAAAAAAAAAHCi/u2JbfH57zwVe9sP9rjvpFHD4quLZ8S7z56QUGUAAAAcMigHu8eNGxe7d+/ODnG/eZi7oqIibrzxxn49nbsnixYtilWrVhnshgGks7MzWltbs+uRI0dGUVFRihUBkG9kDQBJkDcA5JqsASAJ8iZ9+zs64+++98u4e/2Lve59Z+X4uPWKGTGxfHgClQH0D1kDQBLkDUkZlIPdh8tkMjF//vxYtmxZzk7nfiuzZ8+Ov/zLv0z0nkDPWltbY926ddn1vHnzory8PMWKAMg3sgaAJMgbAHJN1gCQBHmTvvt/+WqvQ92FBRHXXXJOfOris6KosCChygD6h6wBIAnyhqQUpl3A8di5c2dEvDHQvXTp0ti1a1fcf//9iQx1t7S0xDe/+c148MEHs49VVlbm/L4AAAAAAAAAcKw++I5T4oPnT3rL5yeMLo1vffzCuG7+2Ya6AQAAUjaoT+xeu3Ztoid07969OyorK6O5uTkiIpYtWxbjxo2LKVOmJFYDAAAAAAAAAPRVQUFB3PRH1fHUr5vj+R37uj337rNPiq8unhEnjSpNqToAAADerCCTyWTSLuJYjRs3LsaPHx/PPvtsovf99re/HYsWLYqCgoLIZDJRUFAQFRUVsXr16rj44osTrYVj19jYGNXV1dl1Q0NDVFVVpVgRudLZ2Rmtra3Z9ciRI6OoqCjFigDIN7IGgCTIGwByTdYAkAR5M3A0/GZ3fOTrP48DnV1RWBDx2fdNi796z9QodEo3MMjJGgCSIG+GjrRnTQflid3Nzc0xZ86cxO9bWVnZbZ3JZGLRokWGumGAKSoqivLy8rTLACCPyRoAkiBvAMg1WQNAEuTNwFE9eUz8zQfOja+v2xK3XTkz5k4Zl3ZJAP1C1gCQBHlDUgblYHdEREVFReL3nDlzZnzpS1+KVatWRUVFRdTW1sbVV1+deB0AAAAAAAAAcKw+duEZ8eGZk6N8eEnapQAAAHAUg3Kwu6urK7V7L126NJYuXZra/QEAAAAAAAAgIuJXL7fE2l++Gtdecnaf9hcUFBjqBgAAGMAG5WA3AAAAAAAAAAxVmUwm7l7/Uvzd9xqj/WBXnDF+RHxoxuS0ywIAAOAEGewG8k5HR0ds3749u544cWKUlDh5AID+I2sASIK8ASDXZA0ASZA3/W/P/o74/Hcb4ntPbMs+9vnvPBXnTR4TlRNGpVgZQDpkDQBJkDckZVAMdre0tMSGDRti7dq10dTUFE1NTdHc3BxNTU09vq6ysjIqKipi3LhxUVNTE3PmzImampo488wzkykcSEVbW1ts2LAhu543b54QBaBfyRoAkiBvAMg1WQNAEuRN/2rctjs++a36eH7Hvm6Ptx7ojE/etSm++4l3xfCSopSqA0iHrAEgCfKGpAzYwe7nn38+Vq5cGWvWrDligDuTyfTpGlu2bImIiIKCgqirq8s+XlFREbW1tXH55ZfHjBkz+q1mAAAAAAAAAMiVtgOd8dKutqM+96uXW+KLP/hlfPHD5yVcFQAAAP2lMO0CDvfggw/GnDlzYurUqbFixYrYsmVLZDKZ7FfEG4Pax/IVEd2usWvXrli+fHnMmjUrzjnnnFi3bl2aLQMAAAAAAABAr2afOS4++75z3vL5HXsPxMHOrgQrAgAAoD8VZPp6/HUCFi9eHGvWrImINwax3zyU3R8OXe+QNw+KL1q0KO65555+uQ8DU2NjY1RXV2fXDQ0NUVVVlWJFAAAAAAAAAMemqysTf/ZPj8VDm1/LPjasqDD+5gPnxscuPOOI/y4OAABA36U9a1qc2J16sHv37pg9e3Y0NTV1G+LOZDJRWVmZ/aqoqIjx48dnn6+oqHjLazY3N2e/37JlS+zcuTOampqiubk5mpqauu3NZDKxevXqaGpqivXr1/dbXwAAAAAAAADQnwoLC+Irl58fl972cLza0h5njB8Rd1xVE9WTx6RdGgAAACdoQAx2X3LJJbFly5aIiKisrIza2tpYuHBhTJkyJWf33L17d9TV1cX9998fd955Z2Qymdi4cWPMnTvXcDcAAAAAAAAAA9b4UaVx6xUz4+71L8YXP1wdo4eXpF0SAAAA/aAw7QJuvPHGqK+vj4qKili9enU899xzcf311+d0qDsiYsyYMXHZZZfFypUro6urK770pS9lh7tvueWWnN4bAAAAAAAAAA7X2ZXpfdN/urByfNx6xUxD3QAAAHkk9cHu5cuXx9ixY2Pjxo1x2WWXpVbH0qVLY8OGDVFeXh433XRTanUAAAAAAAAAMLR0dWVi5UNb4spVj0RHZ1fa5QAAAJCS4jRv/u1vfzsiIlavXp3zE7r7oqamJh544IGYPXt23HLLLfHZz3427ZKA49De3h5bt27NrqdMmRKlpaUpVgRAvpE1ACRB3gCQa7IGgCTIm97tbD0Qn73v8Vj3zGsREfHl/3gmbrz03JSrAhg8ZA0ASZA3JCXVwe6VK1fGggUL4uKLL06zjG5qampi4cKFcf/99xvshkGqvb09nnnmmex60qRJQhSAfiVrAEiCvAEg12QNAEmQNz1bv3VnXHv3pnilZX/2sZU/aYoLKsfFxdNPTrEygMFD1gCQBHlDUgrTvHlTU1MsWrQozRKOavHixbFhw4a0ywAAAAAAAAAgD3V1ZeKOdc/FlXc+0m2o+5DP3vdEvLy7LYXKAAAASFOqJ3Y3NTXF7Nmz0yzhqCorK6O5uTntMoDjVFhYGKNHj+62BoD+JGsASIK8ASDXZA0ASZA3R3p9b3t8+t7H4+FnX3/LPbv2dcS1d2+Ke5a8M4oKCxKsDmDwkTUAJEHekJRUB7srKipi586daZZwVDt37oyKioq0ywCO06hRo+Liiy9OuwwA8pisASAJ8gaAXJM1ACRB3nT3iy074rp7NsX2Pe097hsxrCiunHu6oW6APpA1ACRB3pCUVH9koLKyMurr69Ms4ajq6+ujsrIy7TIAAAAAAAAAyAOdXZn4+7rN8dFvPtLrUPf0t42Of/vURfGRmlMTqg4AAICBItXB7lmzZsXNN9+cZglHtXLlypg9e3baZQAAAAAAAAAwyG3fsz8+9o+Pxt/XPRtdmZ73XnXB6fGvn/ydOGviqGSKAwAAYEBJdbC7trY2du3aFZ///OfTLKObG264IbZu3Rq1tbVplwIAAAAAAADAIPbTZ1+PS299OH6+ZUeP+0aVFsdtV86Mm/7ovBheUpRQdQAAAAw0xWnevKamJmbOnBnLly+PiIibbropzXLixhtvjBUrVsTUqVNjxowZqdYCAAAAAAAAwOB0sLMr/r7u2bjjx89FppdTuqsmlcftV9XElJNGJlMcAAAAA1aqg90REXfeeWfMnj07li9fHvX19bFs2bKYN29eojV85zvfiWXLlkVTU1MUFBTE6tWrE70/0L/a2tqioaEhu66uro6ysrIUKwIg38gaAJIgbwDINVkDQBKGYt68snt/XHvPpli/dWeve//knWfE5y891yndACdgKGYNAMmTNyQl9cHumpqauO++++Lyyy+PtWvXxtq1a6OysjLmz58fs2bNitmzZ0dlZWWUl5f3y/2ef/75aGpqivr6+li7dm1s2LAhmpubI/OfPya9YsUKp3XDINfR0RHbtm3LrqdNmyZEAehXsgaAJMgbAHJN1gCQhKGWNz9+Znt85r4nYmfrgR73jR5eHCsue0f8/nmnJFQZQP4aalkDQDrkDUlJfbA7ImLhwoXxpS99KW644YaIiGhqaopVq1Ydsa+ioiL7/bhx4476eHNz8xGv27lz51Efj4jsQHdExLJly+Jzn/vcsRUPAAAAAAAAwJDW0dkVt9y/Ob7x0JZe955/6pj42pU1cfr4EQlUBgAAwGAyIAa7IyKWLl0aNTU1UVtbG1u3bo2IiIKCgm6D17t27Trq98fjzdeuqKiIO++8My677LITuiYwMJSUlMSkSZO6rQGgP8kaAJIgbwDINVkDQBKGQt5sa26La+7eFBtf6P2/Yf/570yJG35/egwrLkygMoChYShkDQDpkzckpSDz5snpAWLVqlWxatWqqK+vzz5WUFDQb9c/1PKhQfKrr766367NwNXY2BjV1dXZdUNDQ1RVVaVYEQAAAAAAADCY1f3y1fjcmieieV9Hj/vGlJXElxedHwvefnJClQEAAHA80p41HTAndr/ZkiVLYsmSJbF169ZYs2ZNrF27NjZs2BDNzc0nfO2ampqYP39+LF68OGbOnHnixQIAAAAAAAAwpBw42BUrfvR0fPOnW3vdO/P0ivjalTPj1LEjEqgMAACAwWxADnYfMmXKlLj++uvj+uuvj4iIrVu3RlNTUzQ3N0dTU1Ps2LEjIuKoA98VFRUxfvz4qKioiMrKyqisrIwpU6YkWT4AAAAAAAAAeealnfviU3dviideau51b+17KuNz75sWJUWFuS8MAACAQW9AD3YfbsqUKYazAQAAAAAAAEjFjxpeiaVrnoiW/Qd73Dd2REl85fIZMW/6xIQqAwAAIB8MqsFuAAAAAAAAAEha+8HOuPmHT8c//fz5XvfOOXNs3HblzDhlTFnuCwMAACCvGOwG8s7evXtj/fr12fXcuXNj1KhRKVYEQL6RNQAkQd4AkGuyBoAk5EPevLCjNT5116Z46je7e9xXUBDxifdOjU/PPyeKiwoTqg6AfMgaAAY+eUNSDHYDeaerqyv27NnTbQ0A/UnWAJAEeQNArskaAJIw2PPmB0++HDd8+8nY036wx33jRw6Lry6eEb97zoSEKgPgkMGeNQAMDvKGpBjsBgAAAAAAAIA32d/RGV/8wS/jXx55sde9F1aOi9uumBkTy4cnUBkAAAD5zGA3kHdKS0tj2rRp3dYA0J9kDQBJkDcA5JqsASAJgzFvml7bG5+8a1P86uWWHvcVFERce/HZce0lZ0dRYUFC1QFwuMGYNQAMPvKGpBjsPswNN9wQDz74YKxfvz7tUoDjVFpaGtOnT0+7DADymKwBIAnyBoBckzUAJGGw5c2PGl6Jz973eLQe6Oxx34TRpXHr4hnxrrNOSqgyAN7KYMsaAAYneUNSDHYfpqmpKTZu3Jh2GQAAAAAAAAAk7KRRw2L/wa4e91x01knx1cUzYsJoJ/QBAADQvwrTLmAgqqioSLsEAAAAAAAAABI2+8xx8dn3nXPU5woLIj73vnPif//5XEPdAAAA5ITB7sM0NzenXQIAAAAAAAAAKfnL350a7zlnQrfHTi4vjbuvvjA+dfHZUVhYkFJlAAAA5DuD3YfZuXNn2iUAAAAAAAAAkJLCwoL4yuXnx8nlb5zK/Z5zJsQPr313XFA5PuXKAAAAyHfFaRcw0DQ1NUVBgZ+whsGspaUl1q1bl13PmzcvysvLU6wIgHwjawBIgrwBINdkDQBJGKx5M35Uadx2xcyof7E5an+30indAAPYYM0aAAYXeUNSDHa/yXe+851obm6OsWPHpl0KAAAAAAAAAP0ok8nEvgOdMbK0b/+Z/ILK8U7pBgAAIFGpDnb/1V/9VTQ1NaVZQlZTU9OAqQUAAAAAAACA/rO3/WB8/jtPxa937Yt7a98ZJUWFaZcEAAAAR0h1sPv++++P559/Ps0SsjKZTNolAP2krKwsZs+e3W0NAP1J1gCQBHkDQK7JGgCSMBDypuE3u+NTd9XH8zv2RUTEl+9/Jm78/XMTrwOA3BgIWQNA/pM3JCXVwe6NGzfGrFmz4vnnn49MJhMFBQWp1XLo3ga8YfArKSmJyZMnp10GAHlM1gCQBHkDQK7JGgCSkGbeZDKZ+JdHXoj//oNfxYGDXdnHVz7UFBdOGR/zpk9MpS4A+pfPNgAkQd6QlFR/v1RFRUWsXr06O9SdyWRS/QIAAAAAAAAgP9z+4HPx3/5vY7eh7kM+c9/j8fLuthSqAgAAgLeW6ondERE1NTVx9dVXxze/+c1YtmxZzJ8/P5U6mpubY9myZdHU1JTK/QEAAAAAAADoPwtnnxr/38+2xq59HUc8t2tfR1y/+sn4l49fkEJlAAAAcHSpD3ZHRNxwww1x5513xtatW+OSSy5JrY5LLrkkxo0bl9r9AQAAAAAAAOgfp4wpi68snhF/9r8eO+K5M8aPiGW/Nz2FqgAAAOCtFaZdQETElClTYsqUKbF69epU66ioqIjKyspUawBOXGdnZ7S0tGS/Ojs70y4JgDwjawBIgrwBINdkDQBJSDtv5k2bGLXv6f7fgP/gHafE96+5KM47dUyitQCQG2lnDQBDg7whKQPixO6IiNra2rjxxhvj8ccfjxkzZqRWR2VlZWzcuDG1+wMnrrW1NdatW5ddz5s3L8rLy1OsCIB8I2sASIK8ASDXZA0ASRgIefO5902Lx7bujIZtLfGFD749rpp7ehQUFCRaAwC5MxCyBoD8J29IyoAZ7J41a1ZkMpmoq6tLdbAbAAAAAAAAgPxRUlQYX7uqJnbv64i3TzJ4AQAAwMBVmHYBh1RWvvHrr7Zs2ZJqHRUVFdHc3JxqDSdiwYIFMXXq1LTLAAAAAAAAAMiZXa0HouE3u/u8f3JFmaFuAAAABrwBc2L3lClTIiJi586dKVcyeK1YsSLq6ur67Xr19fWxcuXK2LBhQzQ1NUVzc3NUVlZGZWVl1NbWxsKFC/vtXtCfRo4cGfPmzeu2BoD+JGsASIK8ASDXZA0ASchF3mx4fmdce/emONiViR9e9+44aVTpCV8TgMHLZxsAkiBvSMqAGeyOiJg/f37MmTMn1Rpqa2tj8eLFqdZwPJqammLZsmX9cq36+vq4+uqro76+PioqKuLGG2+MmpqaGDduXGzYsCFWr14dixYtioiIpUuXxvLly/vlvtBfioqKorzciQsA5I6sASAJ8gaAXJM1ACShP/OmqysT3/jJlrjl/s3R2ZWJiIjP3PdE/NOfzonCwoJ+uQcAg4/PNgAkQd6QlIJMJpNJuwhO3IIFC7qd1n28b+uaNWv6NLRdV1cXixYtiubm5qipqYkHHnggKioqjuueSWlsbIzq6ursuqGhIaqqqlKsCAAAAAAAAOiLHXvb4zP3PREPbX7tiOeW/t60+MR7z0qhKgAAAPJN2rOmhYndiZxZs2ZNt6Hu47VixYo+n8Q9f/782LhxY1RUVER9fX3MmjXrhO8PAAAAAAAAcLhHm3bEpbc9fNSh7oiIW+7fHI89vzPhqgAAAKD/Gewe5Jqbm+Pqq68+4evU1dXFsmXLIuKNoe2ehroPqaysjDvvvDMiIpqamrJD4QAAAAAAAAAnqrMrE1974Nm48s5H4tWW9h733bHuuQQrAwAAgNwoTrsATsyyZcti3LhxEfHGkPfxqq2t7XbNvlq4cGFUVlZGU1NT9uTw+fPnH3cd0B86Ojpi+/bt2fXEiROjpKQkxYoAyDeyBoAkyBsAck3WAJCE482b1/a0x1/fuyl+9tyOXvdeMee0+MIHk/u12AAMLD7bAJAEeUNSDHYPYnV1dbFq1arYuHFjLFq06LgHu1etWhVNTU0R8cYp3Mc6mF1bW5sdBl+2bFls3LjxuOqA/tLW1hYbNmzIrufNmydEAehXsgaAJMgbAHJN1gCQhOPJm58993pcd8/j8fretz6lOyJi5LCiuOkj58WHZkzul1oBGJx8tgEgCfKGpBSmXQDHr7a2NpYsWRI1NTUndJ2VK1dmvz+e07YXLlyY/b6+vj47JA4AAAAAAADQV51dmfjK2s3xx//4aK9D3eeeUh7fu+YiQ90AAADkFYPdg9SyZcti586d3Yayj0dTU1PU19dn17NmzTrma1RWVnZbn2hNAAAAAAAAwNDyasv++Og3H4nbHng2Mpme9/7xhafHdz/xrqicMCqZ4gAAACAhBZlMbx+LGWiamppi6tSpsXbt2uwJ21OnTu12UnZf39YVK1bEsmXLsuuNGzce1wngb75/ZWVlbNmy5ZivkWuNjY1RXV2dXTc0NERVVVWKFQEAAAAAAAAPbX4tPnPv47Gj9UCP+0aXFsfNl50XH3jHpIQqAwAAYKhJe9a0OLE70W8WLVoUCxcuzA51n4i1a9d2Wx9++nZfVVZWZge7m5qaorm5OSoqKk60PAAAAAAAACBPHezsiq+s3Rxf/3Hvh0adN3lM3H7VzDhj/MgEKgMAAIB0GOweZFatWhX19fXxwAMP9Mv1NmzY0G19vMPYhw+Eb9iwoV8GzwEAAAAAAID88/Lutrj27k3x2PO7et37p+86M268dHqUFhclUBkAAACkpzDtAui75ubmqK2tjZUrV/bLadiHTtY+5ESuefhrDz8JHAAAAAAAACAiYt3T2+PSWx/udai7fHhxfOOPZ8Xf/mGVoW4AAACGBCd2DyJXX3111NTUxJIlS/rlek1NTf1ynYiI8ePH5+zaAAAAAAAAwODX0dkVX/6PZ2LlT3r/b4nnn1YRt185M04bNyKBygAAAGBgMNg9SKxZsybWrFkTW7Zs6bdrvvm07v5msJs0tbe3x9atW7PrKVOmRGlpaYoVAZBvZA0ASZA3AOSarAEgCYfy5tW9HXHzQ6/G06+19/qaq989Ja5///QYVuwXUAPQO59tAEiCvCEpBrsHiauvvjqWL18elZWV/XbNw4evx40b12/XzuXQOPSmvb09nnnmmex60qRJQhSAfiVrAEiCvAEg12QNAElob2+PNb/YHHc9Vxj7Ogt63FsxoiS+vPD8mP/2kxOqDoB84LMNAEmQNyTFYPcgUFtbG+PGjYulS5f263V37NjRb9eqqKjotnZiNwAAAAAAAAxtLfs7YvnaLfGtZ4p63TvrjLFx25UzY3JFWQKVAQAA9KKrK+LXv47YvDli8+YobWiI4XPmxP5+PEAXjsZg9wBXX18fq1atio0bN6ZdSt558sknY9++fTFixIgjntu/f38cPHgwIiKKi4tj+PDhERExYcKEmDhxYkRE7N27N7q6uiIiorS09Kg/fdPS0pL9vqysLEpKSro939nZGa2trdn1yJEjo6io+7/Y6ujoiLa2tuy6vLz8iPu0t7dHe/sbv7ausLAwRo0adcSetra26OjoiIiIkpKSKCs78l+K5UtPhYWFMXr06IiI6Orqin379g36nt4sX94nPelJT3oazD3t27cvRo4cGYWFhdn+BntPh/rIp/dJT3rSk54Ge0+H6jt0n3379g36niLy733Sk570pKfB3FNXV1f236Mduvdg7ykf3yc96UlPehqMPf161774p589H/c89lLsbT94xOsO9+fvPDU++btnRElhR3R0FA/Int4sX94nPelJT3rKl57ePCMQEXHgwIFsPYO1p8Plw/ukJz3pSU+DrqcLLojYsCH7XGlETDj11Gg+44xs7YOup/+UV+9TDnrau3fvEY8nyWD3ALdo0aJYsmRJ1NTU9Pu1m5ubu60PP3U731111VXH/JovfOEL8bd/+7cREbF+/frYs2dPRERMmzYtpk+ffsT+devWZb+fPXt2TJ48udvzra2t3fbMmzfviL9Qtm/fHhveFBAf+tCHjrjP1q1bs7/mYfTo0XHxxRcfsaehoSG2bdsWEW/8Gog5c+YcsSdfeho1alR2/4MPPhiPPvrooO/pzfLlfdKTnvSkJz3pSU960pOe9NRzT6NGjYrp06dne3r00UcHfU8R+fc+6UlPetLTYO/p8Hu1tLQM+p7y8X3Sk570pKfB0lPJ286OOx9uih81vBKdXZkj9h9u3Mhh8ZXLz4/dT/8ifvqT5wdkT/n4PulJT3rSU7719OYZgYiIxx57bND3dLh8eJ/0pCc96SnNnora22PO2LFx8u7dbwxsn3Za7z2dcUa3we6IiJKtW+Piz39+QPQUkX/v00Dpaf369Uc8niSD3QPYihUrYufOnbF8+fK0SwEAAAAAAAA4Qlcm4qmdBfH1zbvimR0/6/Pr5k4ZF7ddMTPeNmZ4/N+nc1ggAAAwNBw8GPHCCxGbN2e/3vmzn8WobdtixGuv/XbfP/9zxJ/8Se/XO+ecIx4a+Z9DzJBLBrsHqKampli2bFmsXr16yJ2kDQAAAAAAAAxsre0H49+f2xf/9nRRvN5eEBEdfXpdQUHEp+adFdddcnYUFxX2/gIAAIBDMpmIV1+N2Lw5TvnBD+K0pqYYtW1bjHv99YiXXoro6P65ZOLRrrF5c9/uNW3aEQ+N+s1vjr1mOEYFmUym99+BReIWLFgQERFr167t0/6pU6dGU1NTdt2Xt7W2tjZWrVqVXVdWVsaWLVuOsdI3rFq1Kmpra7s9NtD+aDU2NkZ1dXV2fdddd8VZZ50VI0aMOGLv/v374+DBgxERUVxcHMOHD4+IiAkTJsTEiW/8db93797o6uqKiIjS0tIoLS094jotLS3Z78vKyqKkpKTb852dndHa2ppdjxw5MoqKirrt6ejoiLa2tuz68F8hEBHR3t4e7e3tERFRWFgYo0aNOmJPW1tbdPxncJWUlERZWdkRe/SkJz3pSU960pOe9KQnPelJT3rSk570pCc96UlPetKTnvSkp770tOH5nbHwG7844nU9GT9yWNx6xcy46OyTBmRPEfn3PulJT3rSk570pCc96UlPg7Kn7duj81e/isItW6KkqSlKmpp+exL3nj1H7D8mCxdGrF7de0+/+EXEu97V7aVdp58ehS+8cHw95eP7lKc9Pfnkk3HhhRdmH2toaIiqqqoj9uaKwe4B6NCQ9K5du/p8WrfB7t4dPtid9D9sAAAAAAAAkC8ymUx8+Os/jydeau5179gRJfGxC8+IP79oSlSMGJb74gAAgMHtr/864tZbc3Ptd7wj4oknet+3Y0fESf/5Q6knn/zGCd7Tp0d84xtv/Coi8lbas6bFid2JPmlubo5ly5bFypUr+zzUfbz68/rNzc39di04UW1tbdHQ0JBdV1dXH/WngQDgeMkaAJIgbwDINVkDwIkoKCiIq989JT5116a33FM5YWT8lwtOjanFO6O0qCWebXxC3gDQ73y2ARjAuroitm2LeOaZN07bPvvsiPnze3/dOefkrqZnn32jrsLCnveNHx+xYUPEWWdFjBnz27zZsCEi5A25Y7B7gLn66qujsrIylixZkvN7jR8/PmfXrqyszNm1oTcdHR2xbdu27HratGlCFIB+JWsASIK8ASDXZA0AJ+r3qt4WkyvK4jfNbd0ef2fl+Lj6d6fEe8+ZGHv37ol16xqzz8kbAPqbzzYAA8CuXW8Mbh8a4D709eyzEfv2/Xbfn/5puoPdJSURZ5zxRr19mZ+cNSv7rbwhKQa7B5C6urpYs2ZNbNy4MZH75fJE8FyfNg4AAAAAAAD0r9f2tMf/eeSFaD/YGTf+/rm97i8uKow/+50z44s/+FUUFxbEB8+fFH9x0ZSonjwmgWoBAIBEtbVFbNly9AHu11/v2zU2b+7bvhMd7D711Ihp0964zpu/zjwzotjYLAObP6EDSG1tbSxdujRqamoSud/hp2rv3LnzuK+1ZcuWbutx48Yd97XgRJWUlMSkSZO6rQGgP8kaAJIgbwDINVkDwCGbX90T//jw1vju47+JAwe7YlhxYXz8osqYMLq019cunnNa7Np3ID524ZnxtjHDj3he3gCQa7IGoJ/t3Bnx2GNHDnC/+GJEJnNi1+7rYPepp0YMHx6xf/9b76moeGN4+/AB7rPOihg58sTqPAp5Q1IMdg8Qq1atiqampqivr49FixYd8+ubmpq6rY92jXHjxsXKlSuz68MHu5ubm4/5voccPhSe1HA6HE1ZWVnMmTMn7TIAyGOyBoAkyBsAck3WALB9z/64fvWT8dDm17o9fuBgV/zLIy/Epxf0fkre6OElcf37p7/l8/IGgFyTNQD97Cc/ifijP8rNtV9//Y3B8d4Oji0sjDj77DcGwc8++42B7cMHuMePjygoyE2dRyFvSIrB7gGmrq6uX66zZs2aIx47fJD78PWJOHyw3F9gAAAAAAAAMLCNHTEsNr+656jP/csjL8RfvXdqDC8pSrgqAACgX+zdG/Hss789eXvYsIgbbuj9def0/gOeJ+TZZyMuuKD3fQ8++MYAeGFhbuuBAcaf+AFiyZIlkclkjutry5YtR1yvr/sOP1n78AHtvjr8tG8ndgMAAAAAAMDAVlJUGH/6rjOP+tyO1gPx3U2/SbYgAADg2HR0vDG4/f3vR3zlKxG1tRHz5kVMnhwxenRETU3EFVdEfOELEd/4Rt+uOXVqbk7CPvnkiHe/O6Kzs2/7TzrJUDdDkhO7h7j58+dHfX19dt3U1HRcJ3m/eSC8oqKiX08DBwAAAAAAAHLjirmnx20PPButB44crrjnsZfiyrmnp1AVAACQlclEbNv2xgD3oa9nnnnjf5ua+j4o/eKLEW1tEWVlPe8rLY0488yIrVuPvdZRo9448fvwr7PPjqioOPbrwRBksHuIW7x4caxYsSK7rq+vj/nz5x/TNQ4/rXvJkiX9URoAAAAAAABwHDKZTLza0h5vGzO8171jykri8jmnxf/62fPZxyaNGR5/9jtTYvHc03JYJQAAcITW1ojvfrf7APezz77x+InKZCKeey7ivPN63ztt2lsPdhcXR1RWvjGwPW1a9wHuU07JzWnfMIQY7B7iampqoqamJntq99q1a2Pp0qXHdI26urpu68WLF/dbfXA89u7dG+vXr8+u586dG6NGjUqxIgDyjawBIAnyBoBckzUA+aejsyt++NTL8Y8/3RrbmvfHT5fNi+ElRb2+7s9/Z0r888+fj+rJY+Lj766M369+W5QU9c+vPJc3AOSarAHyysGDER/72P/P3r3Hx1Xfd/5/z4xGd8mybMu2ZFnSWJoxSAQsXzBYJjgYQggkaWIHQkIDsY3bbLvtbrc4+bXdtttsszh9dLvd7cXGJqEQUmKTJoFAAg4OyOZibHGTAI2sGV0s2ZZvsqy7NDO/Pya6WbJnRppzRhq9no/HeUhnzvf7nc+JIB9m9NZ3jFvf7Q4/2P3BByOB7dEB7sJCyW43rsZpin4DsxDshrZv367t27dLko4ePRrx/Jdffnn4e4fDofLy8qjVBkyG3+/XpUuXxpwDABBN9BoAgBnoNwAAo9FrACB+dPQO6N+PNOkHhxvUerF3+PGfv9eqL68Kvet2fnaqXvovt2jZgnRZory7Hv0GAGA0eg2Aacfnk5qbx+66XV8vPfecZAvxh5dz5kgLF0qnTxtTm9sd3ri//3vpH/7BmBpmKPoNzEKwG3r44Ye1Y8cOtbe3q729Xfv379emTZvCnr979+7h73ft2mVEiQAAAAAAAAAAAAAu03y+W98/3KBn3m5SV79v3PW9lV5tXrkkrLB2cU6GESUCAAAA8SkQkM6eHRveHvr++HGpr2/8nMZGyeEIvbbTGd1gd1KSVFwc3HW7pCS8OdbofIIPgMgR7I4D7e3tU17jscce0+bNmyVJO3bsCDvYvXPnzuHvN23apI0bN065FmCqkpKS5HK5xpwDABBN9BoAgBnoNwAAo9FrAGDmqmq6oL2VXr1YfVL+wJXH1Z6+pMq6s7rFucC84i5DvwEAGI1eA8BQXV1SXd3EAe5Ic3tud/jB7srKyNa2WKSCguBclyv4dejIzw+9UzhCot/ALAS748B3v/vdcY/t3LlTjzzySNhrbNq0SY888oh27twpj8ejHTt26NFHH73qnKqqKu3YsUOSVF5ern379kVWOGCQpKQkLV++PNZlAADiGL0GAGAG+g0AwGj0GgCYWXz+gF6qOaU9h7w61ngh7HmPVXpiHuym3wAAjESvARBV//qv0nvvjYS4W1qit7bbLd15Z+hxTueVry1YMBLYHh3gXrZMSk6OXq0Yh34DsxDsnmF27typt99+W+3t7Tp//rw8Hs+EO3bv2LFD3/3ud7Vq1SplZWVJku69996r7sT96KOPat68edqxY8fwTtxXCndXVVXptttukxQMdR87dmxqNwYAAAAAAAAAAABgnK6+Qf34aLMeP+xV8/meiOcnWC3qG/QpKYEd+gAAAICQdu+W3nnHmLXd7vDGlZVJN9wwdtdtl0sqKZHmzjWmNgDTBsHuGebtt9/W/v37h8PaksZ8f7mjR49Kktrb27V69eqQ6z/yyCPauHGjNm/erJ07d2r//v3avn27ysvLlZ2dLY/Ho2eeeWa4hkcffTSincEBAAAAAAAAAAAAhHbyYo9+8HqDnn6rSZd6ByOam5hg1ZfK8/SNdUUqWZhhUIUAAADANHTxYjBAPXTU1ga//vM/S2vXhp7vdMY+2H3XXcEDwKxEsHuG2bdvn+HPUV5ervr6elVVVWnXrl165pln9N3vflft7e3KysrSqlWrCHQDAAAAAAAAAAAABqhuuag9lR49//5JDfoDEc2dl5aoB24q0NfWFmh+epJBFQIAAAAx1tcn1dePD2+73VJb28RzPvww/GB3NC1ePLLj9po10V0bQFwi2I0rKi8v165du2JdBgAAAAAAAAAAABDX/P6AXvm4TXsOefSm53zE84tz0rW1okhfWJGnZLvNgAoBAAAAk/n9UnPzxLtvNzYGr0ci3N2yJxPszswMBredzrFHSYmUwSfoAIgMwW4Acaejo0MHDx4cPt+wYYMyMzNjWBEAIN7QawAAZqDfAACMRq8BgNjr6ffp2aoTevyQV56zXRHPX1c8T1vXO/TJkgWyWi0GVDh19BsAgNHoNUAcefJJ6Wc/C4aw6+qk3t7orR1usNvlmvjxxESpuHh8eNvplHJyJMv0/O9xRA/9BmYh2A0AAAAAAAAAAAAAJmq71Ksn32jUU2826kL3QERz7TaL7rk+V1srHLo2lxABAAAAZoBAILzg87vvSs8+a0wNtbXhjXM6pdtvHx/eLiiQbHw6DgDjEewGAAAAAAAAAAAAABPUnrqkPZUe/ezdVvX7Ivvo+Dkpdn31xqX6+s2FWpiZbFCFAAAAwCQNDkoNDcGdsYeO2trg1+3bpT//89BrOJ3G1Xf8uOTzhQ5nz5kjvfSScXUAQAgEuwHEnZSUFK1atWrMOQAA0USvAQCYgX4DADAavQYAzBEIBFRZd1aPVXpUWXc24vmF81K1paJIX1q5RKmJM+/Xu/QbAIDR6DWAiQIB6dSpseHtoQC3xyMNXOHTaD7+OLz1Xa7o1ZqSIpWUjOy47XKFF+wGroB+A7PMvFf+ABCC3W5XXl5erMsAAMQxeg0AwAz0GwCA0eg1AGCsvkGffvZuq/ZWelV7+lLE89cUZmvr+iLdds1C2axhfGz9NEW/AQAYjV4DGKCjY3x4e+i4FPl/28rtDm9cpDt2W61SUdFIeHsowO10Snl5wetAlNBvYBaC3QAAAAAAAAAAAAAQJee7+vXDNxv1xBuNOtvZF9Fcm9Wiu65brK0VRbo+P8uYAgEAAICJvPyy9J3vBEPYp05Fd223O7jbtyXEHywuXiylpUldXWMfX7RobHh7KMDtcEiJidGtFQBijGA3AAAAAAAAAAAAAExR/ZlO7T3k1bPHTqhv0B/R3IykBN23Jl8PritSXhYf5w0AAIAo8fuDO2zPmRN6bH+/9NprxtRx8aJ05oyUk3P1cRaL9Id/KCUljQ1xZ2YaUxcATEMEuwEAAAAAAAAAAABgiv7yZzU6dPxsRHPyslL00LpC3bs6XxnJdoMqAwAAQNw7fz64K/boo7ZWqquTbrxROngw9BpOp7E1ut2hg92S9N3vGlsHAExzBLsBxB2fz6euUR/JkpaWJpvNFsOKAADxhl4DADAD/QYAYDR6DQBE15b1RWEHu6/Pz9K29UW6s3SREmxWgyuLLfoNAMBo9BrMGj090vHjY4PbQ9+fO3fleW53eOsXFkoJCdLg4NRrzc8fu+O2yyWVlU19XSCG6DcwC8FuAHGnq6tLB0f9peGGDRuUyUeyAACiiF4DADAD/QYAYDR6DQBE163OBSrJSVddW+eE1y0W6dPXLtLW9UVaWTBXFovF5Apjg34DADAavQZxxeeTGhvHB7fdbqmpaXJrtrZKnZ1SevrVx9ntksMRfhB87txgYPvyAHdxsZSaOrlagWmMfgOzEOwGAAAAAAAAAAAAgCmyWCzaUlGkb/3kgzGPpyba9OVV+XpoXaEK5qXFqDoAAABMa16v9NnPSvX1Un9/9Nevq5NWrAg9zukcG+xOTpZKSsaGt4cC3PPmRb9OAADBbgAAAAAAAAAAAACYyLHG89p7yKtvf+Ya5WeH3nXwCyvy9L1f1epcV78WZibpwZuLdP+apZqTajehWgAAAEwrly4Fd98uKws9dsEC6aOPjKultja8YPeWLdKdd44EuPPzJavVuLoAAOMQ7AYQd9LS0rRhw4Yx5wAARBO9BgBgBvoNAMBo9BoAmNigz69f1ZzWnkMevdPULknKnZOiP7/72pBzk+027bhzuewJFn32ulwlJhCCod8AAIxGr0FM9fcHd9t2u8cetbXSyZNSQoLU3S3ZQ/yhX3q6lJsrtbYaU+foXbiv5gtfMOb5gThAv4FZCHYDiDs2m02ZmZmxLgMAEMfoNQAAM9BvAABGo9cAwHg/fadFf/dSrU5c6Bnz+L+/3az/vLFEmcmhd97+8up8o8qbkeg3AACj0WtgOL8/GLi+PLjtdgdD3T7flecODkoNDVJJSejncbmmHuxOTx/ZbXv0sXz51NYFQL+BaQh2AwAAAAAAAAAAAICkrv7BcaFuSersG9SP327W1vWOGFQFAAAAU1y4MD647XZLdXXBXbcnq7Y2vGC30ykdPBh6XEKCtGzZxAHuxYsli2XytQIAYo5gNwAAAAAAAAAAAABI+uKKJfq7X9XqQvfAuGvfP9ygB28uVILNGoPKAAAAYCinMxjgNoLbHX4Noy1ZMnF4u7BQsof+JBkAwMxEsBsAAAAAAAAAAAAAJKUk2vTA2gL94yvHx11rae/RKx+36Y7SRTGoDAAAAGHz+aSmpmCgeu1aac6c0HPmzjWunnCD3XffPRLmLi6W0tONqwkAMG0R7AYQdwYGBtTW1jZ8npOTIzt/qQgAiCJ6DQDADPQbAIDR6DUAZpPu/kFZLRYl220hxz5wU6H+9VWP+n3+4cfWl8zX1vUO3VIy38gy4xL9BgBgNHrNLBUISGfPSrW1weD06OP4camvLzjulVekDRtCr+d0SkeOGFNrfX1444Z25AYwLdFvYBaC3QDiTk9Pj44ePTp8vmHDBpooACCq6DUAADPQbwAARqPXAJgN2jp69cQbDfrhW036z58q0TcqikLOWZCRpC+syNV/vNOiz9+Qp63ri7R8UaYJ1cYn+g0AwGj0mjjX1SXV1U0c4G5vDz3f7Q4/2D0VFotUWDgSzh46XK7gLtwAZjz6DcxCsBsAAAAAAAAAAABAXPmwtUN7D3n18/daNOALSJIeP+zV795UoASbNeT8/3q7S//tDpdyMpONLhUAAAADA1JDQzCEfXmAu6Vlamu73eGNCzfYvWBBMKx9eYB72TIpmf92BABMHcFuAAAAAAAAAAAAADNeIBDQb9xntLfSq0PHz467fuJCj1768LTuum5xyLUWzSGUAwAAYJr77pN+8hNj1p5MsDs1dWS37dHh7ZISae5cY+oEAOC3LIFAIBDrIgAz1NTUqKysbPi8urpapaWlMawIAAAAAAAAAAAAU9U74NNP32nR3kNe1bV1XnXsiqVZ+o9vrjOpMgAAgFmovV2qqwvuvF1WJt1wQ+g53/qW9OijxtTjdAZrCaW3V3rjjeD43FzJYjGmHgDAtBfrrCk7dgMAAAAAAAAAAACYcc519unJNxv15BuNOtfVH9acd5radazxvFYWZBtcHQAAQBzr65Pq64OBabd77NHWNjLuL/4ivGD36N2yo62/X/L7Jav16uOSk6UNG4yrAwCAMBHsBgAAAAAAAAAAADBjHG+7pL2HvHq2qkX9g/6I5mYkJ6jpfDfBbgAAgFD8fqm5ORjWvjzA3dgYvB6K2x3ec0012D1njuRyBdcZfZSUSOnpU1sbAACTEewGAAAAAAAAAAAAMK0FAgG9Xn9Oeyo9Olh7JuL5S+am6BvrivTl1flKT+JXpAAAAMMuXpRqasYHuI8fl3p7p7Z2uMFulyv0mMREqbh44gD3ggWSxTK1WgEAmCZ41wIAAAAAAAAAAADAtNQ/6Ndz77VqzyGvPjrZEfH88qVZ2rreoTuuXagEm9WACgEAAGa4J56Q/uiPjFnb7ZYCgdCh6/nzpaysYMh86dJgWPvyAPfSpZLNZkydAABMIwS7AcSdvr4+eb3e4fOioiIlJSXFsCIAQLyh1wAAzEC/AQAYjV4DYDpr7+7XD99q0hOvN6jtUl9Ec60W6c6yRdpS4dDKgrkGVYhw0W8AAEaj1/zW4KDU0DCy6/b8+dIDD4SeF85u2ZPV1SW1tkp5eVcfZ7FIR49KublSSopx9QDAFNBvYBaC3QDiTl9fn2pra4fPc3NzaaIAgKii1wAAzEC/AQAYjV4DYDpqONulxw97te/oCfUM+CKam5Zo05dX5+uhm4u0dF6qQRUiUvQbAIDRZlWvCQSkU6eCwe2hAPfQUV8fDHcPqagIL9jtdBpTa0pKcO0LF0IHuyVp2TJj6gCAKJlV/QYxRbAbAAAAAAAAAAAAQMwEAgEdbbygx17z6OWPTisQiGz+4jnJevDmQt23ZqnmpNiNKRIAAMBMFy9KdXUTB7g7O8Nbw+0Ob9zSpVJiotTfH3mdNptUVBQMcF9+5OVJVmvkawIAMMsR7AYQd6xWqzIyMsacAwAQTfQaAIAZ6DcAAKPRawDE2qDPrxerT2lPpUfvnbgY8fyyvExtW+/QXdctlt3G/4dNV/QbAIDRZnSvuXhR+s1vRkLbQyHu06envnZbm9TeLmVlXX2czSYVF0sffnjlMYsXjw9uu1zBUHdi4tRrBYAZYEb3G8wolkAg0r95B2ammpoalZWVDZ9XV1ertLQ0hhUBAAAAAAAAAADMPh29A/rx2836/uEGtbT3RDTXYpFuW75QW9cX6caibFksFoOqBAAAMEF1tXTddcatf+SItHp16HG/8zvSK6+MD247nVJJiTQqyAgAQLyLddaUHbsBAAAAAAAAAAAAGO7EhW794HCD/v3tZnX2DUY0N9lu1aaVS/SNdUVyLEg3qEIAAIBJOndu7K7bFy5I//IvoectWxb8yzWj9uV0u8MLdv/wh1JKSrAWAAAQUwS7AQAAAAAAAAAAABjm3eZ2PVbp0S+rT8nnjyy0ND89SQ/eXKD7byxQdlqiQRUCAACEobtbOn58bIB76Pvz58eOtVikf/gHKSnp6mumpEhLl0qNjdGtdenS4G7bc+aENz41NbrPDwAAJo1gNwAAAAAAAAAAAICo8vkDevnD09p7yKO3Gy5EPH/5ogxtqSjS527IVVKCzYAKAQAAJjA4GAxZDwW2Rwe4m5vDXycQkOrrpWuvDT3W6ZxcsHvevODcy4/iYoLaAADMYAS7AQAAAAAAAAAAAETVeyfa9XtPHYt43i3OBdq2vkgVxfNlsVgMqAwAAOC3/H7p8cfHBrjr66WBgeis73aHF+x2uaSXX574WkqKVFIycYB73rzo1AkAAKYVgt0A4k5PT4+qq6uHz8vKypSSkhLDigAA8YZeAwAwA/0GAGA0eg0AI63Iz9L1+Vl6r7k95NhEm1VfWJGrLRUOuRZlGF8cTEW/AQAYbdK9xmqVvv1t6exZYwqrrQ1v3DXXSMuWjQ9uu1xSXl6wTgBAzPHaBmYh2A0g7gwMDKi1tXX43OVy0UQBAFFFrwEAmIF+AwAwGr0GgJEsFou2rS/SHzz9zhXHzE2164G1BXrgpkItyEgysTqYiX4DADBUf798NTXy//SnSmttVXpLi+zd3dKPfiTl54ee73QaF+x2u8Mb981vBg8AwLTGaxuYhWA3AAAAAAAAAAAAgKi7s3SR8rJS1NLeM+Zxx4I0ba1w6IvleUq222JUHQAAmDH8fqmlJRiUHjpqa4NfvV6l+/268fI5H30UXrDb5ZJefz16taanj+y4XVERvXUBAMCsQbAbQNyx2+3Kzc0dcw4AQDTRawAAZqDfAACMRq8BEKneAZ9+UtWis519+s+3lYQcn2Cz6qF1hfrOLz6SJN3kmKdttxTpVmeOrFaL0eVimqDfAADCdv782PD2UIC7rk7q6Qk9fzS3W7rjjtDjnM7I60xIkJYtGwlwu1wj3y9aJFn47xwAiEe8toFZCHYDiDspKSlavXp1rMsAAMQxeg0AwAz0GwCA0eg1AMJ15lKfnnyzUU+92ajzXf1KTLDqK2uWakFGUsi5961ZKvfpS/rdmwpVljfHhGox3dBvAABX9P3vS6+9NhLgPncuemu73eGNu1qwe8mSkcD26AB3YWEw3A0AmFV4bQOz8F8ZAAAAAAAAAAAAAMa52D2gv33hI/3Huy3qH/QPP94/6NdTbzbqv9weeofL9KQE7dx0vZFlAgCAmerFF6V9+4xZO9xg97XXSjfeOD7AXVwspaUZUxsAAMBVEOwGAAAAAAAAAAAAME5qkk2VdWfGhLqHPPlmo37/1mVKtttiUBkAAIi5QEA6cyYYoB7acXvo+//v/5O++tXQa1xtt+ypCjfYvXy59OabxtUBAAAQIYLdAAAAAAAAAAAAAMax26x6cF2h/vaFj8ddO9/Vr59Utej+G5fGoDIAAGCazk6prm5scHvouHhx4jk1NeGtHc1gt8UiFRaO7Lp9zTXRWxsAAMBEBLsBAAAAAAAAAAAATOi+NUv1fw7UqavfN+7aD1736itr8mWxWGJQGQAAiJqBAcnjGR/cdrul1tbI1wt3t+zJBLtzckbC206n5HIFvzocUnJy5OsBAABMMwS7AcSdzs5OHTlyZPh8zZo1Sk9Pj2FFAIB4Q68BAJiBfgMAMBq9BpjdOvsGlZ4U+leFmcl23bt6qR4/7B1+LD0pQfeuzteDNxcS6kZI9BsAmKZ+9jPpsceCIWyPR/KN/yOuSZtqsDstbWx4eyjAXVIiZWWNG97Z2akjr78+fE6vAQAYgdc2MAvBbgBxx+/369KlS2POAQCIJnoNAMAM9BsAgNHoNcDsEwgEdMR7Xo9VevXeiXZVPrJByXZbyHkPrSvUD173alFmsh5aV6R71+QrM9luQsWIB/QbADDZ4KCUEEYcqLVV+sUvjKmhrk7y+yWr9erjsrOl++6TcnPHBrgXL5Yi+OMxeg0AwAz0G5iFYDcAAAAAAAAAAAAQxwZ8fr3wwUntqfTqg5aLw4///N1WfXl1fsj5+dmpemb7TbohP0t2W4iAFgAAMF5vr1RfH9wZe+iorQ1+/cxnpCeeCL3GlXbLjlZ9zc1SQUHosT/6kXF1AAAAzEAEuwHEnaSkJLlcrjHnAABEE70GAGAG+g0AwGj0GiD+XewZ0DNvN+kHhxvUerF33PU9hzzavGqJLGHsiLm6MNuIEjEL0G8AYJL8fqmpaWx4e+hoaJACgYnnud3hrT/q/5unbM6c4Hqjd92eOzd664dArwEAmIF+A7MQ7AYQd5KSkrR8+fJYlwEAiGP0GgCAGeg3AACj0WuA+NV8vluPH/bqx283q6vfd8Vx7tOdeq3urD7pXGBidZht6DcAcBWBgHTu3Mhu26OPujqpry/yNWtrg+uG+sOt3FwpNVXq7g5v3aQkqbh4JLw9FOB2OqX580M/n4HoNQAAM9BvYBaC3QAAAAAAAAAAAEAcqGq6oL2VXr1YfVL+K2ziebk9lR6C3QAAmO2dd6Tf//1ggPvCheiufeFCMCw+f/7Vx1mtUkmJ9N57I49ZLFJBwdjw9lCAOz9fstmiWysAAADGIdgNAAAAAAAAAAAAzFA+f0Av1ZzSY5UeVTW1Rzz/zKU+dfUNKi2JXxsCADAlAwNSW5uUlxd6bGqq9NZbxtXidocOdkvSww9LHR0jAe7iYik52bi6AAAAEBLv0AAAAAAAAAAAAAAzTGffoPYdbdbjh71qPt8T8fxbXQu0tcKhdcXzZLFYDKgQAIA4FAhIJ08Gg9OXH/X10qJFUnNz6HWKioK7X/t8xtTpdks33xx63De/aczzAwAAYNIIdgMAAAAAAAAAAAAzxMmLPfrB6w16+q0mXeodjGhuYoJVX1yRp29UFMm5MMOgCgEAiAMXL04c3na7pc7OK887cULq6pLS0q6+fmJiMNx9/PjU6rTZJIdjZMftoeOGG6a2LgAAAGKGYDeAuNPR0aGDBw8On2/YsEGZmZkxrAgAEG/oNQAAM9BvAABGo9cAM0t1y0XtqfTo+fdPatAfiGhudlqiHlhboK+tLdCCjCSDKgQmRr8BMG319Ukej1RbOz68ffr05Nc9fly6/vrQ45zO8IPdubnjw9suVzAcbrdPvtY4Qa8BAJiBfgOzEOwGAAAAAAAAAAAApiG/P6BXPm7TnkMevek5H/H8ZQvStHW9Q7+zIk/JdpsBFQIAMAP19kqlpVJDg+T3R399tzv8YPcLL4ycZ2YGw9qXB7hLSqQMPmkDAABgtiDYDQAAAAAAAAAAAEwjPf0+PVt1Qo8f8spztivi+Tcvm6dt6x36pHOBrFaLARUCADDNnD0bDFSvWSMlhIjCJCdL3d3GhLqlYB3huPdeqaxsJMCdkyNZ6NsAAACzHcFuAHEnJSVFq1atGnMOAEA00WsAAGag3wAAjEavAaaftku9evKNRj31ZqMudA9ENNdus+ie63O1paJIpblzDKoQiBz9BkDUdHdLdXXB4PTlx/nffrLF8ePSsmWh13I6pVOnjKmztja8cWvXBg9MGb0GAGAG+g3MQrAbQNyx2+3Ky8uLdRkAgDhGrwEAmIF+AwAwGr0GmD4+PtWhvZVe/ezdVvX7Its9NDM5QV9dW6Cv31SoRXOSDaoQmDz6DYCIDA5KjY3BcPTl4e3m5tDz3e7wg92vvTa1WufPH9lte/RRXDy1dRExeg0AwAz0G5iFYDcAAAAAAAAAAABgskAgoNfqzmpPpUeVdWcjnl8wL1VbKor0pfIlSkviV34AgBkkEJBOnw6GsC8PcNfXSwORfWrFGG639JnPhB7ncoW3XkrKxOFtp1PKzp58nQAAAMAV8C4PAAAAAAAAAAAAYJK+QZ9+9k6r9hzyyH26M+L5qwvnaut6hzZes1A2q8WACgEAMNitt059t+wrqa0Nb5zTOfK91SoVFQXD3peHt/PygtcBAAAAkxDsBgAAAAAAAAAAAAx2vqtfT73ZqH97o1FnO/simmuzWvSZskXaut6hG/KzjCkQAIDJ6O8P7rLtdksrVkhLl4aes2SJcfW43eGNu+km6Wc/C4a3HQ4pMdG4mgAAAIAIEOwGEHd8Pp+6urqGz9PS0mSz2WJYEQAg3tBrAABmoN8AAIxGrwHM9d/2vadXPm6LaE56UoLuW52vB9cVasncVIMqA4xFvwHigN8vtbQEd8N2u8ceXm/wuiTt3i1t2xZ6vdG7ZUdbS0t44xYskD73OePqgKnoNQAAM9BvYBaC3QDiTldXlw4ePDh8vmHDBmVmZsawIgBAvKHXAADMQL8BABiNXgOY63dvKgg72J2XlaKH1hXq3tX5yki2G1wZYCz6DTCDnD8fDGtfHuCuq5N6ekLPD3e37KkGu+12admy4DqjD5dLWrhwamtjRqLXAADMQL+BWQh2AwAAAAAAAAAAAAb7pHOBSnLSVdfWecUx1y+Zo63rHfpM2SIl2KwmVgcAmDV6eqTjx0dC26ND3OfOTW3taAe78/PHB7edTqmgQEog7gIAAID4xH/pAgAAAAAAAAAAAAazWCzaur5IO5794LLHpTuuXait6x1aVTBXFoslRhUCAGaFv/xL6XvfM2btcIPdJSUj38+dOxLYHvrqdErFxVJqqjF1AgAAANOYJRAIBGJdBGCGmpoalZWVDZ9XV1ertLQ0hhXBKD6fT11dXcPnaWlpstlsMawIABBv6DUAADPQbwAARqPXAFPXdK5bjx/2aktFkfKzQ4fPegd8qnj0FZ3t7FeK3aYvr1qib1QUqWBemgnVArFBvwEMEghIbW0ju24XFEi33x563p490rZtxtRkt0vd3eHtpn3kiLRsmTRvnjG1YFah1wAAzEC/mT1inTVlx24AccdmsykzMzPWZQAA4hi9BgBgBvoNAMBo9BpgcgKBgKqaLuix17x66cNT8gckm9Wiv7j72pBzk+02/efbStTZN6j71yxVVmqiCRUDsUW/Aabo0iWprm4kwO12jxwdHSPjvvKV8ILdTqcxdVqtUn6+dOaMtHhx6PFr1hhTB2Yleg0AwAz0G5iFYDcAAAAAAAAAAAAQhtfcZ/T3L7v1bnP7mMefebtZf7SxRJnJ9pBr/O5NhcYUBwCYufr7Ja934vD2yZPhreF2hzduqsHunBzJ5QquM/pYtkxKSpra2gAAAAAIdgMAAAAAAAAAAADhOHGhZ1yoW5I6+wb1zJFmbbvFYX5RAICZ4+JF6dix8QFur1fy+aa2ttstBQKSxXL1cQsXShkZwZ3AryQtLRjWvjzAXVIiZWVNrU4AAAAAV0WwGwAAAAAAAAAAAAjDF8vz9Hcv1ep8V/+4a98/7NWD6wplt1ljUBkAYEY4fFj67GeNWfvSJenUKWnx4quPs1iCge1335UcjokD3IsXhw6IAwAAADAEwW4AcWdgYEBtbW3D5zk5ObLbQ3/8JQAA4aLXAADMQL8BABiNXgNELtlu09fWFugff1037lrrxV79svqU7rk+NwaVAdMX/QZxqbdXqq8f2XVbkr71rdDznE5j63K7Qwe7Jen556XsbIl/FxEn6DUAADPQb2AWgt0A4k5PT4+OHj06fL5hwwaaKAAgqug1AAAz0G8AAEaj1wAjfP6AfP6AEhNC77b9wNoC/eur9eof9A8/VpKTrq3ri3T7tQuNLBOYkeg3mLF8PqmpKRiWvvxobJQCgZGxixeHF+wuLAyGqQcGolvrnDnBXbf9/tBjJWkh/QrxhV4DADAD/QZmIdgNAAAAAAAAAACAWam7f1DPHjuhvYe8euCmQm2pKAo5Z0FGkn7nhjw9c7RZ60vma0tFkT7pXCCLxWJCxQCAqAoEpDNnJg5vHz8u9fWFt87Jk1JHh5SZefVxCQnSsmXSxx9HXmtSklRcHNz12+UKfh065s+X6EMAAABAXCDYDQAAAAAAAAAAgFmlraNXT7zRoB++1aT27uCuqd8/7NXXbypQgi30rt1/8KliPbiuUNcsDhHgAwBMHz090s9/Pj7A3d4enfXr6qSVK0OPczqvHOy2WKSCgonD2/n5ks0WnVoBAAAATFuWQGD05wMB8aumpkZlZWXD59XV1SotLY1hRQAAAAAAAAAAwEwftnZo7yGvfv5eiwZ8439F9k/3l+uzn1gcg8oAAIbr7pbS0oxb/+mnpa98JfS4P/1T6YknRgLbowPcy5ZJycnG1QgAAAAgpFhnTdmxGwAAAAAAAAAAAHHL7w/o1boz2lvp1aHjZ686ds8hD8FuAJjOAgHp5MmR3bZra4M7Ze/fLyUmXn1uampw1+vmZmNqc7vDG/fd70rf+54xNQAAAACY8Qh2AwAAAAAAAAAAIO70Dvj003datOeQV8fbOsOa805Tu441ntfKgmyDqwMAXFV7ezCwXVs7EuIeOrq6xo/3eKTly0Ov63RGN9hts0kOR3Dd4uLw5iQQ0wAAAABwZbxiAAAAAAAAAAAAQNw429mnp95s1JNvNOpcV39Ec21Wi94/cZFgNwCYoa9POn58fHDb7Zba2iJby+0OP9j9619HXmtubnCu0ym5XCPfFxVJdnvk6wEAAADAFRDsBgAAAAAAAAAAwIx3vO2S9h7y6tmqFvUP+iOam5GcoPvXLNXXby5UblaKQRUCwCz3/e9L77wzEt5uaJACgeis7XaHN87pvPK1zMyxoe2h74uLpYyM6NQJAAAAACEQ7AYQd/r6+uT1eofPi4qKlJSUFMOKAADxhl4DADAD/QYAYDR6DeJBIBDQ6/XntKfSo4O1ZyKev2Ruir6xrkhfXp2v9CR+bQYYgX6DYbt3S2++acza4Qa7S0ula68dCW+PDnAvWCBZLMbUB8BQ9BoAgBnoNzAL71ABiDt9fX2qra0dPs/NzaWJAgCiil4DADAD/QYAYDR6DWay/kG/nnuvVXsOefXRyY6I569YmqVt6x2649qFSrBZDagQwBD6TRzp6pKOHx/Zcdvtlmprpe99T1q/PvR8p9O4YPeof8au6vbbpZoaY2oAEDP0GgCAGeg3MAvBbgAAAAAAAAAAAMwI7d39+uFbTXri9Qa1XeqLaK7VIn26dJG2rndoZcFcgyoEgBlucFBqaBgb3h4KcJ84MfGc6urwgt0uV1RL1fz5I7tur14d3bUBAAAAIEYIdgOIO1arVRkZGWPOAQCIJnoNAMAM9BsAgNHoNZhJGs526fHDXu07ekI9A76I5qYm2nTv6nw9dHORls5LNahCAFdCv5mGAgHp1KmJw9sejzQwENl64e6W7XRGXmtKykh42+kMhsOdTqmkRMrOjnw9AHGJXgMAMAP9BmaxBAKBQKyLAMxQU1OjsrKy4fPq6mqVlpbGsCIAAAAAAAAAAHAlgUBAbzdc0J5Kj17+6LQi/Y3WosxkPbSuUPetWao5KXZjigSAmeLHP5Z++tOREPelS9Fb+zOfkV54IfS499+Xrr9+/OM2m1RUNDbAPRTizs2VCMwAAAAAMFGss6bs2A0AAAAAAAAAAIBpY9Dn1wvVp7S30qP3TlyMeH5ZXqa2rXforusWy24jDAgAkqR335V+9CNj5JkYEwAA5W1JREFU1na7wxtXXCzdcsvIrttDh8MhJSYaUxsAAAAAzDAEuwEAAAAAAAAAABBzHb0DeuZIs37weoNa2nsinr/xmhxtXe/QjUXZslgsBlQIADHi90snTozstj101NZKX/ua9Nd/HXoNp9O4+rxeqb8/dDg7NVV69VXj6gAAAACAOECwGwAAAAAAAAAAADFz4kK3vn+4Qc+83azOvsGI5ibbrfpS+RJ9o6JIyxakG1QhAJjk3Lnx4W23W6qrk3qu8AcvH30U3trRDHbb7cHdt0fvuu3zRW99AAAAAJjFCHYDAAAAAAAAAADAdO82t+uxSo9+WX1KPn8gornz05P09ZsK9NW1BcpOC7FDLABMJz09waD2RAHuc+ciX8/tDm/cZILdS5eODW+7XMGvS5dKCUQNAAAAAMAIvNoCEHd6enpUXV09fF5WVqaUlJQYVgQAiDf0GgCAGeg3AACj0WsQSx+2dugL/3Q44nmuhRnasr5In78hV0kJNgMqAxBt9BtJr74qfec7wRB2U1N0166rk/x+yWq9+rh586S5c6ULF8Y/Pjq8PXQUF0upqdGtFQAMQq8BAJiBfgOzEOwGEHcGBgbU2to6fO5yuWiiAICootcAAMxAvwEAGI1eg1i6ZnGGbsjP0rvN7WGNv8W5QFsrirS+ZL4sFouxxQGIqrjtN4GA1NkpZWSEHtvfLx04YEwd3d1Sa6u0ZMnVx1ks0vbtwQD46AD3vHnG1AUAJorbXgMAmFboNzALwW4AAAAAAAAAAACYymKxaNt6h/7T01VXHJNos+oLK3K1pcIh16IwgpMAYISOjuCu2G73yFFbG/x63XXS4TA+fcDpNLZGtzt0sFuSvvtdY+sAAAAAAEwZwW4Accdutys3N3fMOQAA0USvAQCYgX4DADAavQax9unShcrLSlFLe8+Yx+em2vXA2gI9cFOhFmQkxag6ANEyI/pNf7/k8YwNbw8dJ09eeZ7bHd76+flScrLU2zv1WhcuHLvjtsslXX/91NcFgBlsRvQaAMCMR7+BWSyBQCAQ6yIAM9TU1KisrGz4vLq6WqWlpTGsCAAAAAAAAACA+OH3B/Qbd5u8Z7u1paIorDl7D3n1N89/KElyLEjTlooifXHFEqUk2owsFcBs5PdLra0ju22PPrxeyeeb3LrnzknZ2aHHfeIT0gcfhLdmevrY4PbQ9yUl0pw5k6sTAAAAABCWWGdN2bEbAAAAAAAAAAAAk9Y74NNPqlq095BH9We6lJhg1eeuzw1rt+0vr1qi14+f1f03LtUGV46sVosJFQOYVVpbpbvukurqpO7u6K/vdktr14Ye53SODXYnJEjLlo0Nbg8dixZJFv7/EAAAAABmI4LdAAAAAAAAAAAAiFhPv0//8mq9nnqzUee7+ocf7x/068k3G/Vfb3eGXCMj2a69D642skwA8ainR2pokK65JvTYefOCgWq/35hawg12P/CAVFExEt4uLAyGuwEAAAAAGIVXigAAAAAAAAAAAIiY3WbRs8dOjAl1D3nqzUZ989ZlSrbbYlAZgLjg80mNjcHg9OVHU1NwTFeXlJJy9XWSkoIhao/HmDrd7vDGff7zxjw/AAAAACCuEOwGAAAAAAAAAABAxBJsVj14c6H+5wsfjbt2vqtfP6lq0f03Lo1BZQBmjEBAOnNGqq0dH94+flzqH/+HI2PU10tlZaGfx+mcerA7KUkqKRnZcXvouPbaqa0LAAAAAMAoBLsBxJ3Ozk4dOXJk+HzNmjVKT0+PYUUAgHhDrwEAmIF+AwAwGr0G0XDvmnz9n1/XqbNvcNy1PYc8um91vqxWSwwqAzBddHZ26tirryrlxAmlnjihkkBASQ0NIwHuixcnv7jbHX6w+5e/DD3OYgnu7j06uO1yBb/m50tW6+RrBQAYhtc2AAAz0G9gFoLdAOKO3+/XpUuXxpwDABBN9BoAgBnoNwAAo9FrcDWDPr8SbKEDjJnJdt27Ol97D3mHH7NapM9ct1hbKooIdQNQys0365MffGDM4m53eOOczrHnOTnjg9tOp+RwSMnJ0a8TAGAoXtsAAMxAv4FZCHYDAAAAAAAAAABAkuQ926W9hzz6Te0ZHfivn1Sy3RZyzkPrCvX9w16l2G26d/VSPbSuUPnZqSZUC8B0gYDU0hIMVJeXS1lZoacYuYNduMHuT39aeuqpYHi7pCSsugEAAAAAiAWC3QDiTlJSklwu15hzAACiiV4DADAD/QYAYDR6DYYEAgEd8Z7XY5Ve/frj0woEgo//7N0W3bt6acj5S+amatcDq3SjI1uZyXaDqwVgivZ2qbY2GJy+/OjuDo755S+DgekQLE6n9MYbxtRZVxfeuOLi4AEAiEu8tgEAmIF+A7MQ7AYQd5KSkrR8+fJYlwEAiGP0GgCAGeg3AACj0Wsw4PPrhQ9Oak+lVx+0XBx3fU+lV19elS+LxRJyrduvXWhEiQCM1Nsr1ddPHOA+cyb0fLc7rGC37Zprpl5rXl5wt+3Rh8slFRZOfW0AwIzHaxsAgBnoNzALwW4AAAAAAAAAAIBZ5GLPgJ55u0k/ONyg1ou9VxxX19apV91ndKsrx8TqAESVzyc1NwdD2JcHuBsbNbxF/2S43eGNczrDGzdnTjCsfXmAu6RESk+ffJ0AAAAAAMwgBLsBAAAAAAAAAABmgebz3Xr8sFc/frtZXf2+sObsqfQS7AZmst/9Xenpp41Zu7Y2vHGjPqpciYnBoPbl4W2nU1qwQArjEwIAAAAAAIhnBLsBAAAAAAAAAADiWFXTBe2t9OrF6pPyR7g5r/v0JbV39ysrNdGY4gCEr6tLqqsL7pTtdEo33BB6zrJlxtUT7o7dxcXSL38ZrHnpUslmM64mAAAAAABmOILdAAAAAAAAAAAAccbnD+ilmlN6rNKjqqb2iOcvX5Shresduuf6xUpKIIQJmGZwUPJ6g6Hpy48TJ0bG7dgRXrB79G7Z0dbbKw0MSHb71cclJkqf/rRxdQAAAAAAEEcIdgOIOx0dHTp48ODw+YYNG5SZmRnDigAA8YZeAwAwA/0GAGA0ek186uwb1L6jzXr8sFfN53sinn+ra4G2Vji0rnieLBaLARUCUCAgnTw5cXi7vj4Y7g6ltja853I6p1ZrampwjcuPkhIpOzusJeg3AACj0WsAAGag38AsBLsBAAAAAAAAAABmuJMXe/SD1xv09FtNutQbRih0lMQEq764Ik9bKopUsjDDoAqBWaizU/roo4kD3J2dU1vb7Q5vXElJ6DE2m1RUFNzd+/IAd26uZLVOrVYAAAAAABA2gt0AAAAAAAAAAAAzVHXLRe2p9Oj5909q0B+IaG52WqIeWFugr60t0IKMJIMqBGaxp5+Wtm83Zu3jxyWfLxjKvpqsLCknR2prkxYvDoa1Lw9wFxVJiYnG1AkAAAAAACJCsBtA3ElJSdGqVavGnAMAEE30GgCAGeg3AACj0WtmLr8/oFc+btOeQx696Tkf8fxlC9K0db1Dv7MiT8n2EKFQAJLfL504Edwlu7ZWysyUHngg9Dyn07ia+vulpqZgKDuU114L7rydEZsd+ek3AACj0WsAAGag38AsBLsBxB273a68vLxYlwEAiGP0GgCAGeg3AACj0Wtmnp5+n56tOqHHD3nlOdsV8fx1xfO0tcKhTzoXyGq1GFAhMMOdOxcMbw8FuIe+r6uTentHxq1eHdtgt90uFRdL7e3hjXe5jKkjTPQbAIDR6DUAADPQb2AWgt0AAAAAAAAAAADTWNulXj35RqOeerNRF7oHIpprt1l0z/W52lJRpNLcOQZVCMwg3d3S8eMTB7jPh7kDvtstBQKSJcQfSCxeLKWlSV2R/yGGJGnp0mA43OUKfh06CgokG7vtAwAAAAAQjwh2AwAAAAAAAAAATEMfn+rQ3kqvfvZuq/p9/ojmzkmx66s3LtXv3lSoRXOSDaoQmMY6O6XKyvEB7ubmqa998aJ05oyUk3P1cRZLMIj9zjtXHjNv3sTh7eJiiY/1BgAAAABg1iHYDQAAAAAAAAAAME0EAgG9VndWeyo9qqw7G/H8gnmp2lJRpE0rlyg1kV8DYRZrbZXuusu49d3u0MFuKRjS/vhjqaRkfIC7pCQY7AYAAAAAAPgt3tEDEHd8Pp+6Rn2sYVpammx8JCEAIIroNQAAM9BvAABGo9dML32DPv3snVbtOeSR+3RnxPPXFGZry/oibbxmoWxWiwEVAjHS0SHV1Y3sut3WJv3zP4eeV1Qk2WySz2dMXW63VFERetxjj0lPPy1ZrcbUMQPQbwAARqPXAADMQL+BWQh2A4g7XV1dOnjw4PD5hg0blJmZGcOKAADxhl4DADAD/QYAYDR6zfTyJz9+T8+/fzKiOTarRZ8pW6St6x26IT/LmMIAM/T3Sx5PMCw9FOAe+v7UqfHjd+6U0tOvvqbdLjkcwVB4NC1aFNxte86c8MZnZET3+Wcg+g0AwGj0GgCAGeg3MAvBbgAAAAAAAAAAgBjbvCo/7GB3elKCvrImX1+/uVBL5qYaXBkQJX6/1NIyEtgeHeD2eoPXw1VXJ61YEXqcyzW5YHdGRjC87XQG1xj6vqRE4pf2AAAAAADAQAS7AQAAAAAAAAAAYuyWkvlyLkyX+3TnFcfkZaXooXWFund1vjKS7SZWB0QoEJCeemokuF1bGwxY9/REZ323O7xgt9N55Wt2u7Rs2cQB7oULJYslOrUCAAAAAABEgGA3gLiTlpamDRs2jDkHACCa6DUAADPQbwAARqPXTC8Wi0VbKxx65Nn3x127Pj9L29YX6c7SRUqwWWNQHRAhi0X69reDO3Qbwe0Ob5zLJeXnjwS2Rwe4CwqkBH5Vagb6DQDAaPQaAIAZ6DcwC+9WAIg7NptNmXwUIgDAQPQaAIAZ6DcAAKPRa4x3sXtAP3q7SZ+9brHys1NDjv/8ilzt/FWtznb2yWKR7rh2obatd2hlwVxZ2D0YZvP5pMbGYIh66KitlXbtkhyO0POdztgHu7dtkx5+2JgaEDb6DQDAaPQaAIAZ6DcwC8FuAAAAAAAAAACAKGo816XvH27Qj482q7vfp7aOPv33e64NOS8pwabttzh04kK3vlFRpIJ57PwEgwUCUlvb2PD2UIC7vl7q7x8/58MPww92HzwYvVqTk6WSkuC669aFN4c/iAAAAAAAADMMwW4AAAAAAAAAAIAo+ODERf3TweP61YenFAiMPP7M2036o40lmpNiD7nGtlvCCMwCkbp0SaqrGx/gdrulixcjWyvc3bKdzsjrtFqlwsLgXKdTcrlGvl+yJHgdAAAAAAAgjhHsBgAAAAAAAAAAiILq1ov6Zc2pcY939fv0zNtNeviWZTGoCrPSj34k/eY3I+Ht1tborR2NYPfChSOB7dEhbodDSkqKTp0AAAAAAAAzEMFuAHFnYGBAbW1tw+c5OTmy20PvhAMAQLjoNQAAM9BvAABGo9dE3++syNPf/apW57r6x137/uEGPbSuSHYbOw7DBC+8ID31lDFrhxvsXr5cKi8fH+B2OqU5c4ypDdMS/QYAYDR6DQDADPQbmIVgN4C409PTo6NHjw6fb9iwgSYKAIgqeg0AwAz0GwCA0eg10Zdst+lrawv0f35dN+7ayYu9euGDk/r8DXkxqAwzzoULI7ttDx21tdIf/7H04IOh519tt+ypCjfYXVwsHTtmXB2YMeg3AACj0WsAAGag38AsBLsBAAAAAAAAAABC8PsDslotIcc9cFOB/uXVevUP+ocfm5+eqAfWFqqieL6RJWKm6e2Vjh+fOMB99uzEcz74ILy1ox3szssb2W3b5ZICAckS+t8HAAAAAAAARIZgNwAAAAAAAAAAwAR8/oB+/dFp7an06o7Shdq63hFyzvz0JH1xRZ7+/e1mleSka+v6In3+hjwl220mVIxpx+eTmprGh7fdbqmxMRiQjkS4u2VPJtidlRUMbQ8FuIeO4mIpPT3y9QAAAAAAABAxSyAQ6TtGwMxUU1OjsrKy4fPq6mqVlpbGsCIAAAAAAAAAwHTU3T+oZ4+d0N5DXjWc65Yk5WWl6NU/vVUJNmvI+Q1nu9RwrkufdC6QhV2NZ58XX5QeeywYwj5+XOrri97aTmdwR+9QOjuljIzxjyclSSUl48PbTqc0fz67cAMAAAAAgFkv1llTduwGAAAAAAAAAACQdLqjV//2RoN++FaT2rsHxlxrae/RL2tO6e5P5IZcp3B+mgrnpxlVJmLF55NsYey83toq/cd/GFODxyMNDEh2+9XHpadL990nLVgwNrydnx/ePQAAAAAAACAmCHYDAAAAAAAAAIBZ7cPWDu055NFz77VqwHflDzp9rNKrz163mF2449nAgOT1BnfbHjpqa4Nfb7lF+tGPQq/hchlX3+Cg1NAQ3HU7lHBqBQAAAAAAwLRCsBsAAAAAAAAAAMw6fn9Ar9ad0d5Krw4dPxvWnPea23Ws8YJWFWYbXB0MFQgEd9UeHd4eCnB7PMGduSdSWxve+k5n9GpNTR2747bLJc2fH731AQAAAAAAMK0Q7AYAAAAAAAAAALNG74BPP32nRXsOeXW8rTPi+a+5zxDsnina28eHt4eOrq7I13O7g6HwUDu2L1ggzZkjXbwY3ro2m+RwBEPbo0PcTqeUmxv6+QAAAAAAABA3CHYDiDt9fX3yer3D50VFRUpKSophRQCAeEOvAQCYgX4DADDabOs1Zzv79NSbjXryjUad6+qPaK7NatHdn1isLRVF+sSSLGMKRHTU1Ei/93vBEHZbW3TX7uqSTp4Mhq2vxmIJhrLffnvs47m5E4e3i4okuz26tQLTyGzrNwAA89FrAABmoN/ALAS7AcSdvr4+1Y76SMzc3FyaKAAgqug1AAAz0G8AAEabLb3meNsl7T3k1bNVLeof9Ec0NyM5QfevWaqv31yo3KwUgypESH6/dOaMtHBh6LGpqdKhQ8bV4naHDnZL0kMPSffcMxLeLimR0tONqwuYxmZLvwEAxA69BgBgBvoNzEKwGwAAAAAAAAAAxJVAIKDX689pT6VHB2vPRDx/ydwUfWNdkb68Ol/pSfwqxRSBgHTuXDA4PfqorZWOH5cyM6XTp0Ovs3SplJgo9Ue2K3vY3G7p1ltDj/v93zfm+QEAAAAAABDXeDcSQNyxWq3KyMgYcw4AQDTRawAAZqDfAACMFo+9pn/Qr+fea9WeQ159dLIj4vkrlmZp23qH7rh2oRJsM/9/j2mpqysY1L48vO12SxcuXHleb6/U3i5lZV19fZtNKi6WPvxwanVaLMGQ+NCO20PHypVTWxeYheKx3wAAphd6DQDADPQbmMUSCAQCsS4CMENNTY3KysqGz6urq1VaWhrDigAAAAAAAAAA0dDe3a8fvtWkJ15vUNulvojmWi3SnWWLtKXCoZUFcw2qcJYZHJQaGsYHt91u6cSJya975Ii0enXocb/zO9JPfxremvPnjw9vO53BcHhKyuRrBQAAAAAAwIwU66wpO3YDAAAAAAAAAIAZqeFslx4/7NW+oyfUM+CLaG5qok33rs7XQzcXaem8VIMqnGUGB6VPfEKqqwt+H221teEFu12usecpKROHt51OKTs7+nUCAAAAAAAAk0SwGwAAAAAAAAAAzBiBQEBvN1zQnkqPXv7otCL9XNLFc5L14M2Fum/NUs1JsRtTZDzp6AjutP2JT0iJiVcfm5AgdXcbE+qWgnWE4wtfkAoKRsLbeXkSH48MAAAAAACAGYBgNwAAAAAAAAAAmPYGfX69UH1Keys9eu/ExYjnl+Vlatt6h+66brHsNkK+Y/T1SR5PMDh9+XHqVHBMTY107bWh13I6pcZGY+oMN9i9dm3wAAAAAAAAAGYYgt0AAAAAAAAAAGDa6ugd0DNHmvWD1xvU0t4T8fyN1+Ro63qHbizKlsViMaDCGcLvl06cGB/crq2VGhqC16/G7Q4/2P3yy1OrNSNDcrlGdtweOkpKprYuAAAAAAAAMM0R7AYQd3p6elRdXT18XlZWppSUlBhWBACIN/QaAIAZ6DcAAKNN915z4kK3vn+4Qc+83azOvsGI5ibbrfpS+RJtqSiSY0G6QRVOU+fOjQ9uu91SXZ3U2zv5dcPdLdvpDG+c3S4VF48Pbzud0sKF0mwO4QNxZrr3GwDAzEevAQCYgX4DsxDsBhB3BgYG1NraOnzucrloogCAqKLXAADMQL8BABhtOvca79kubfz7V+XzByKaNz89SQ/eXKD7byxQdlqiQdVNY3feKf3qV8asPdlgd37+xLtvFxRICfyaCpgNpnO/AQDEB3oNAMAM9BuYhXfMAAAAAAAAAADAtFI0P03XL5mjqqb2sMa7FmZo6/oife6GXCUl2Iwtziw+n9TQEAxUX3ttMAgdyuLFxtUTbrB79Wpp375geLu4WEpNNa4mAAAAAAAAIM4Q7AYQd+x2u3Jzc8ecAwAQTfQaAIAZ6DcAAKNN916zdb1D3/xh1VXH3OJcoG3ri1RRPF8Wi8WkyqIoEJDa2qTa2mBwevRRXy/19wfH/b//J/2n/xR6vct3y46mpqbwxs2bJ23aZFwdAGac6d5vAAAzH70GAGAG+g3MQrAbQNxJSUnR6tWrY10GACCO0WsAAGag3wAAjDbde80d1y7UkrkpOnGhZ8zjiTarvrAiV1sqHHItyohRdRG6dEmqqwsGti8PcXd0hJ4f7m7ZUw12W61SUVFwncuPJUumtjaAWWu69xsAwMxHrwEAmIF+A7MQ7AYAAAAAAAAAAKaoab2o6paLunf10pBjE2xWfWNdkf7H8x9Kkuam2vXA2gI9cFOhFmQkGV1q5Pr7Ja93JLA9OsB98uTU1o52sHvhQsnlGh/edjikpGn4vy0AAAAAAAAwSxDsBgAAAAAAAAAAhvH7A/qNu02PvebVG55zSrRZtWF5jnIykkPO/fLqfP38vVZtXrVEXypfomS7zYSKJ+l//A/pf/5PY9YON9hdXCxZLFIgIKWnB8Palwe4S0qkOXOMqRMAAAAAAADAlBDsBgAAAAAAAAAAUTfg82v/sRPaU+lR/Zmu4cf7fX499Uaj/usdrpBrpCcl6Kf/aZ2RZU7swoWRXbcXLZLuuCP0nHB3y56Mhgapry/0btopKdKhQ1JRUbBui8W4mgAAAAAAAABEHcFuAAAAAAAAAAAQdRZJ/++V42pp7xl37ck3G/XNDcWx3YG7p0eqrx8JcLvdI8fZsyPjvvSl2Ae7c3OlU6ekgoLQY2++2bg6AAAAAAAAABiKYDeAuNPZ2akjR44Mn69Zs0bp6ekxrAgAEG/oNQAAM9BvAABGM7rXJNisevDmQv3PFz4ad+1C94CerTqhr94YRlB5Knw+qalpJLA9OsDd1CQFAqHXqK0N77mmGuzOypJcruDhdI4cxcVSWtrU1gaAGOK1DQDAaPQaAIAZ6DcwC8FuAHHH7/fr0qVLY84BAIgmeg0AwAz0GwCA0czoNfeuydf/+XWdOvsGx13be8irr6xeKqvVMvUn6uyU3n13fID7+HGpv39qa9fVSX6/ZLVefVx2tjR//tjdvi+XlCSVlAQD25cHuOfNkyxR+N8CAKYZXtsAAIxGrwEAmIF+A7MQ7AYAAAAAAAAAABEJBAKyhBFCzky2697V+dp7yDvm8VUFc7V1fVH0CjpyRLrttuitN1pfn9TcLBWEsbu40ymdOycVFo4EtkcHuPPzQwfEAQAAAAAAAMxaBLsBxJ2kpCS5XK4x5wAARBO9BgBgBvoNAMBok+k1F7r69fSRJv3i/ZP6yTdvVrLdFnLOQ+sK9f3DwWD3Z65brK0VRVqxdO7EgwcGJK93ZNftgQHpW98KfTNOZ+gxU+F2hxfs3r9fmjtXSk42th4AmEF4bQMAMBq9BgBgBvoNzEKwG0DcSUpK0vLly2NdBgAgjtFrAABmoN8AAIwWSa/xnu3S44e82nesWb0DwY+Z/dm7Lbp39dKQc5fMTdXOTdfrxqJs5WenSoGA1NISDEsPBbiHvvd4JJ9vZHJ2dnjB7txcKTVV6u4O637ClpoaDI2PrulqFi+O7vMDQBzgtQ0AwGj0GgCAGeg3MAvBbgAAAAAAAAAAME4gENAR73ntOeTVgY9OKxAYe31PpVdfXpUvi8Uy8QLt7cOB7U2jA9x1dVJXV3hFnD8vnTsnzZt39XFWq1RSIr33XnjrjpaQIDkcwQD35UdurnSl+wMAAAAAAACAKCPYDQAAAAAAAAAAhg34/Hrhg5Pae8ir909cvOK4urZOveo+o1uLsqRf/GL8DtxnzkSnILdbuumm0OOczqsHu/PyJg5vFxVJdnt0agUAAAAAAACAKSDYDQAAAAAAAAAA1NE7oH8/0qQfHG5Q68XesObsqfTq1qIV0qZNkt9vTGGRBLvnzJFcrrHBbZdLKi6W0tONqQ8AAAAAAAAAooRgNwAAAAAAAAAAs1jz+W59/5BXL736gRaebta68y0qutAix/kW/fHdf6Jee/IV5x5rvKC2Pr9yioqk+npjCnS7wxv3l38p/c3fSBaLMXUAAAAAAAAAgMEIdgOIOx0dHTp48ODw+YYNG5SZmRnDigAA8YZeAwAwA/0GAGCIri6prk5yu9Vw+G01HDqqrJOt+qPzLfrvfV3jhhdeOKmPc4rGPZ6TkaSv31yor964VFmpicGdsaMZ7LZYpKVLg7ttOxzhzbHbo/f8AICo4bUNAMBo9BoAgBnoNzALwW4AAAAAAAAAAOLJwIDU0BDc6Xr0UVsrtbQMDyv87XE1RedbxgS7ly/K0Lb1Dt1zfa4SE6wjA10u6cUXI691wYJgKPzyY9kyKSUl8vUAAAAAAAAAYAYj2A0AAAAAAAAAwEz2ox9Jx46NBLjr66XBwags7TgfDILf6lqgbesdunnZPFkslvEDnc4rL5KaOnF4u6REys6OSp0AAAAAAAAAEA8IdgOIOykpKVq1atWYcwAAooleAwAwA/0GABC2f/1X6bXXDFn6U9Z2feG/3KKShRlXH3jNNcGg9kQB7rw8aaIwOABgVuC1DQDAaPQaAIAZ6DcwC8FuAHHHbrcrLy8v1mUAAOIYvQYAYAb6DQDMIn19wV22h3bcdrul2lrpr/9a+tSnQs93uQwLdq/sOyOFCnVL0q23BusGAOAyvLYBABiNXgMAMAP9BmYh2A0AAAAAAAAAgNH8fqm5eXx42+2WGhuD1y/3/vvhBbudzqiWGsjMlGVot+3y8qiuDQAAAAAAAAC4MoLdAAAAAAAAAABEy9mzY8PbQwHu48el3t7I1gpzB+y+omIlRVhmvzVBjXMXy5udp37HMhWvXylnxUpZl7tkycmRLJYIVwQAAAAAAAAATBXBbgAAAAAAAAAAJuunP5X+4z9GQtznz0dv7RDB7rZLvXryjUYd+s1Z/ccVxpzIXCDv3Dx5s/Pkzc6VJ3uJPNl5OjM3R3etyNfWCoeuzc2MXs0AAAAAAAAAgEkj2A0g7vh8PnV1dQ2fp6WlyWazxbAiAEC8odcAAMxAvwGAGeLdd6V/+zdj1r5CsLv21CXtqfToZ++2qt/nlz15vo7mXaOGubnyZOfJOzdX3uw8NcxdrF578pi5c1Ls+uqNS/X1mws1P82urq4udXR0SKLXAACMwWsbAIDR6DUAADPQb2AWgt0A4k5XV5cOHjw4fL5hwwZlZrLrEAAgeug1AAAz0G8AwASBgHT69Mhu2263VFsb/PqlL0nf+U7oNZxO4+prbpa6u6XUVAUCAVXWndVjlR5V1p0dM2zAZtemr33vqksVzEvVlooibVq5RKmJwV8NdHR00GsAAIbjtQ0AwGj0GgCAGeg3MAvBbgAAAAAAAABAfOvokOrqxga3h45LlyaeU10d3trRDHZbrVJRUXDNoSMQkCT92U+r9fRbTREvuaYwW1vWF2njNQtls1qiVysAAAAAAAAAIOoIdgMAAAAAAAAAZr7+fsnjGR/cdrulU6ciX8/tDm/cZILdixaNDW87nZLLJTkcUmLihFM+Xboo7GC3zWrRXdct1taKIl2fnxV5fQAAAAAAAACAmLAEAr/d7gOIczU1NSorKxs+r66uVmlpaQwrglF8Pp+6urqGz9PS0mSz2WJYEQAg3tBrAABmoN8AQBjeeEP6m78JhrC9Xsnvj97adrvU3S0lhLE/yuLF48Pj6enBsPbl4e2SEmkSH9EaCAT06X94Te7TnVcck5GUoPvW5OvBdUXKy0oJuSa9BgBgBvoNAMBo9BoAgBnoN7NHrLOm7NgNIO7YbDZlTuKXYwAAhIteAwAwA/0GwKzW0yOlhA4mq79fevFFY2oYGJAaG6Vly0KPfeih4PjRIe5FiySLJWrlWCwWba1w6JFn3x93LS8rRQ+tK9S9q/OVkWwPe016DQDADPQbAIDR6DUAADPQb2AWgt0AAAAAAAAAAPP19EjHjwd32x591NZKRUXS22+HXsPlMrZGtzu8YPff/u2klh/w+fWL909qVeFcLZmbGnL851fkauevanW2s0+SdH1+lratL9KdpYuUYLNOqgYAAAAAAAAAwPRBsBsAAAAAAAAAYAyfL7jr9eXBbbdbam6WAoGJ5/X3B6+F2vF64UIpI0O6dGnqtc6dGwyKj951e+XKqa87gYs9A/rRkSb94HCDTnX06hvrivTf77k25LykBJseWleoD05c1Nb1RVpZMFeWKO4KDgAAAAAAAACILYLdAAAAAAAAAIDJCwSktrbxwW23W6qvD4a0I3XpknT6tLRo0dXHWSzBAPaxY+Gtm5wslZSMDW87ncFA97x5kdcZoebz3dp7yKsfH21Wd79v+PFn3m7SH20s0ZwUe8g1vnnrMsLcAAAAAAAAABCnCHYDiDsDAwNqa2sbPs/JyZHdHvqXYgAAhIteAwAwA/0GwLR35ox0113BAHdHR/TXd7tDB7ul8cFuq1UqLBwf3nY6pfz84PUYOXz8rH7wesO4x7v6fXrm7SY9fMuykGtEM9RNrwEAmIF+AwAwGr0GAGAG+g3MQrAbQNzp6enR0aNHh883bNhAEwUARBW9BgBgBvoNgJgYGJAaG6Xi4tBj586V3nsvOMcIbrd0yy2hx913n3TDDSPh7WXLpKQkY2qaoi+syNP3flWrc13jdzH//uEGPbSuSHabecFzeg0AwAz0GwCA0eg1AAAz0G9gFoLdAAAAAAAAADCbBAJSS0swOH354fFIPp908aKUmXn1dRISgiHqjz82pk63O7xxn/tc8JgBku02PXBTgf7hQN24aycv9uqFD07q8zfkxaAyAAAAAAAAAMB0QLAbAAAAAAAAAOJRe7tUWztxgLu7++pz6+qklStDP4fTOfVg91BAfGjH7aGjtHRq605TX1tboH/+Tb36B/3DjyUlWPWllUv0iSVZsSsMAAAAAAAAABBzlkAgEIh1EYAZampqVFZWNnxeXV2t0jj95RAAAAAAAABmid5eqb5+4gD3mTOTX/fpp6WvfCX0uD/9U+nv/i68NZcsGR/edjqloqJguHuG+uDERT1W6dGKpVl6aF1RWHO+/ZP39aMjzZqfnqgH1hbqa2uXal56ksGVAgAAAAAAAABCiXXWdOa+Ww4AAAAAAAAAs9m6ddIbb0hG7N3hdoc3zuUaez5nTvAxl2tseLu4WEpPj36dMeL3B/Trj9v0WKVHR7znJUnHGi/ogbUFSrBZQ87fut6hG/Kz9Pkb8pRstxldLgAAAAAAAABghiDYDQAAAAAAAACxFggEd9h2u6XSUmnu3NBzkpONCXVLwR3Aw/GpT0mPPz4S4J4/X7JYjKlpGujp92n/sWY9frhB3rNdY661tPfoxepTuuf63JDrLFuQrmUL4ifoDgAAAAAAAACIDoLdAAAAAAAAAGCWrq5geHuio709OObnP5fuuSf0Wk6n9MorxtQZ7o7dDkfwiHNtHb36tzca9dRbjWrvHrjiuD2VHt39icWyxHG4HQAAAAAAAABgHILdAAAAAAAAABBNAwNSQ0MwHF1bOza83dISen5tbXjBbpdryqVqwYLgOkM7bg8dy5ZNfe048NHJDu2p9Orn77VowBd6d/T3TlzU0cYLWl2YbUJ1AAAAAAAAAIB4Q7AbQNzp6+uT1+sdPi8qKlJSUlIMKwIAxBt6DQDADPQbYJoLBKSTJ0cC26MD3B6PNDg4+bXD3S3b6QxvXGpqcOzlAe6SEmnu3MnXGacCgYBedZ/RnkqvDh0/G/H8n73bMmOC3fQaAIAZ6DcAAKPRawAAZqDfwCwEuwHEnb6+PtXW1g6f5+bm0kQBAFFFrwEAmIF+A0xz27ZJe/cas/Zkgt02m+RwTLz7dm6uZLEYU2sc6R3w6WfvtmhPpVd1bZ0Rz7+xKFtb1zt02/IcA6ozBr0GAGAG+g0AwGj0GgCAGeg3MAvBbgAAAAAAAACzW1+fVF8f3HW7sFBasSL0nKIi4+oJN9hdWCg991wwvF1UJNntxtUUx8519umpN5v05JsNOtvZH9Fcm9Wiuz+xWFsqivSJJVnGFAgAAAAAAAAAmDUIdgOIO1arVRkZGWPOAQCIJnoNAMAM9Bsgyvx+qbk5GJqurQ1+HToaG4PXJemP/zi8YPfo3bKjrbtb6umRUlKuPi4hQbr7buPqiHPH2zq195BXP6k6ob5Bf0RzM5ITdP+apfr6zYXKzQrxc5rG6DUAADPQbwAARqPXAADMQL+BWSyBQCAQ6yIAM9TU1KisrGz4vLq6WqWlpTGsCAAAAAAAAFEVCEjnzo0EtkcHuI8fl3p7Q69x113SL34Retx770k33DD5WhMTpeLiYEB89OFySQsWSBbL5NfGFQUCAb1Rf057Dnn1ysdtEc9fMjdF31hXpC+vzld6EvumAAAAAAAAAEC8iXXWlHeeAQAAAAAAAMwsPT1jd9weHeC+cGFqa7vd4Y0rLg49xmKRli6dOLy9dKlks02tVoStf9Cv599v1Z5Krz482RHx/BVLs7RtvUN3XLtQCTZ24gEAAAAAAAAAGINgNwAAAAAAAICZ5ZlnpIceMmZtr1fq7w/uqH01aWnSkiXSiRPS/PkTh7eXLZNSUoypE2Fp7+7X00ea9MTrDTrd0RfRXKtFurNskbZUOLSyYK5BFQIAAAAAAAAAMIJgNwAAAAAAAIDYCASkU6dGdttOTpYeeCD0PKfTuJp8vmC42+UKPfall6SFC6XsbOPqwaQ0nuvS44e8+vHRE+oZ8EU0NzXRpntX5+uhm4u0dF6qQRUCAAAAAAAAADAewW4AAAAAAAAAxrp4UaqrC4a3a2tHgtxut9TZOTLu+utjG+y2WqWiIunChfDGX3ONMXVgUgKBgI42XtCeSo9e+vC0AoHI5i+ek6wHby7UfWuWak6K3ZgiAQAAAAAAAAC4CoLdAOJOT0+Pqqurh8/LysqUwsceAwCiiF4DADAD/QYzTl+f5PGMBLZHB7hPnw5vjbo6ye8PBqyvZv784C7Z589PrtbFi4Ph8MsPh0NKTJzcmoiZQZ9fL1af0p5DXr3X3B7x/LK8TG1b79Bd1y2W3Rbin704Q68BAJiBfgMAMBq9BgBgBvoNzEKwG0DcGRgYUGtr6/C5y+WiiQIAoopeAwAwA/0G01Z3t/T66+MD3A0NwVD2VNduaZHy80OPdTqlN9+88vWMDMnlGh/eLimRMjOnViemhUu9A3rm7WZ9/3CDWtp7Ip6/8ZocbV3v0I1F2bJYLAZUOP3RawAAZqDfAACMRq8BAJiBfgOzEOwGAAAAAAAAEL62Nun2241b3+0OP9h97JhUXDw+vO1ySTk50iwN684GJy/26Pa/f02dfYMRzUu2W/Wl8iXaUlEkx4J0g6oDAAAAAAAAAGByCHYDiDt2u125ubljzgEAiCZ6DQDADPQbGK6nRzp+fGTX7ZYW6Z/+KfS8pUulpCSpr8+Yutxu6bbbQo/7v/9X2rtXSuAtztlo8ZwUORemq6qpPazx89OT9ODNBbr/xgJlpyUaW9wMQq8BAJiBfgMAMBq9BgBgBvoNzGIJBAKBWBcBmKGmpkZlZWXD59XV1SotLY1hRQAAAAAAAAbz+aSGhmBY+vKjqWn8+PPnpblzQ6973XVSdXV0a507N7jT9h/8gfTVr0Z3bcSlFz84qd//YdVVx7gWZmjr+iJ97oZcJSXYTKoMAAAAAAAAADBTxTprynY2AAAAAAAAwEwWCEinT08c3q6vl/r7w1/L7ZZuvDH0OKdzcsHu5GSppCQ43+UKfh065s2LfD3ManeULlJ+doqaz/eMu3aLc4G2rS9SRfF8WSyWGFQHAAAAAAAAAEDkCHYDAAAAAAAAM8mPfyx99NHYAHdHR3TWjiTYfSVWq1RYOBLYHh3gXrIkeB24gtMdvTrWeEF3Xbc45Fib1aJvrCvSXz/3oSQp0WbVF1bkakuFQ65FGUaXCgAAAAAAAABA1BHsBgAAAAAAAGaSb31L8nqNWdvtDm+c0yktXDh2x+2hALfDISUlGVMf4lZN60XtrfTqufdbZZFFqwrnKicjOeS8zavy9cTrDfrc9bl64KZCLcjgnz0AAAAAAAAAwMxFsBsAAAAAAAAwk98vtbaO3XG7tlb63//76jthD3E6Yx/sfvBB6aGHjKkBs4bfH9Cr7jN6rNKj1+vPjboS0JNvNOpP7nCFXCM9KUGv/MmtslotxhUKAAAAAAAAAIBJCHYDiDudnZ06cuTI8PmaNWuUnp4ew4oAAPGGXgMAMAP9Jg5cuDA2uD30fV2d1N09fvyWLeEHu3/1q+jVmZAgLVsWXPemm8KbYyFEi6nzBwL6859Wq6W9Z9y1p95s1DdvLVZKoi3kOoS6J49eAwAwA/0GAGA0eg0AwAz0G5iFYPcM4PF4tGvXLh04cEAej0ft7e3KyspSdna2ysvLde+992rjxo3KysqK2nNWVVVp165dOnr06PBzOhwOORwObd++XZs2bYracwHR5vf7denSpTHnAABEE70GAGAG+s0M0dMj1dePDW4PHWfPRrZWuLtlhxP+nsiSJcG5Tqfkco18X1gYDHcDJkuwWfXQukJ95xcfjbt2oXtAz1ad0NfWFsSgstmDXgMAMAP9BgBgNHoNAMAM9BuYhd/YTGPt7e3atm2b9u/fL0lyOBxatWqVzp8/L4/HM3wMXX/kkUf07W9/e0oB76qqKm3btk1VVVXKysrSt7/9bZWXlys7O1tHjx7Vvn37tHnz5uHne/TRR6d8nwAAAAAAADPGs89KBw+OhLebmqRAIDpr19aGN87luvK1rKyxoe2h74uLpbS0qJQJRNO9q/P1Dwfq1Nk3OO7a44e8un/NUnbkBgAAAAAAAADMGgS7p6mqqirddtttam9vv2Jgu6qqSjt27NCBAwckSTt37tTu3bu1b98+bdy4MeLn3L9//1VD2+Xl5Xr44Yd14MABbd68WTt37tSBAwf061//Oqq7hQNTlZSUJNeoX3InJSXFsBoAQDyi1wAAzEC/maZeeEF6/HFj1g53x26XSyorGwlvjw5xz5snWQjBYubISLbrvtX52nPIO+bxpdmp+t2bCuQLBGQV/0wbhV4DADAD/QYAYDR6DQDADPQbmMUSCERrSyFES1VVlVauXCmHw6GXX35ZDofjquN3796t7du3j3ls37592rRpU9jPuXPnTu3YsUNSeDtxezwerVy5Uu3t7XI4HKqvrw/7uWKlpqZGZWVlw+fV1dUqLS2NYUUAAAAAAMB0nZ1SXd3IjttDx8MPS1u2hJ6/c6f02/dQom7+fOnMGWPWBkzSN+jTc++d1E+qTujxB1cr2W4LOefEhW598nu/kc8f0KqCudq6vki3X7tINnbqBgAAAAAAAACYLNZZU3bsnmba29t12223KSsrS8eOHQtrJ+yHH35Y7e3tw8FsSdq8ebNefvnlsHbuPnDgwPDcjRs3hgx1S5LD4dBjjz2mzZs3y+PxaPPmzdq3b1/IeQAAAAAAAIYbGJC83vHh7dpaqbV14jmrV4e3ttMZvTolKSdn7K7bPp9kCx2EBaabC139+uFbjXrijUadudQnSfrpOy26b83SkHOXzE3Vn3/2Gt2Qn6UVS+caXSoAAAAAAAAAANMWO3ZPM5s3b9b+/ft17NgxlZeXRzR37ty5am9vHz7PysrShQsXQs5btmyZPB6PJIUdBo/GXLPF+q8oAAAAAABAFAUCwZD25eFtt1vyeKTBwcjWu/126aWXQo/78EMp0vcT0tLGhredTsnlkkpKpDD+qB+Yzrxnu/T4Ia/2HWtW74B/zLXinHS99Me3yMrO2wAAAAAAAACAGSLWWVN27J5GPB6P9u/fr02bNkUc6pakRx99VNu3bx8+b29v186dO/XII49ccc7u3buHg9kOhyPiYPb27duHd/vesWOHjh07FnHdAAAAAAAAYXnlFWn37pEAd1dX9NZ2u8Mbt2yZZLEEg+WjJSRIDsfEAe7Fi4NzgDgRCAR0xHtej1V69euPT4/712HI8bZOvVp3RhtcOeYWCAAAAAAAAADADEWwexrZtWuXJOnb3/72pOY//PDD2rFjx5hdu3ft2nXVYPfQc0qa1G7bmzZtGg52V1VVyePxyOFwRLwOAAAAAACYxQKB8ILPra3SM88YU0NTk9TTI6WkXH1cUpJ0331SZubYAHdRkWS3G1MbME0M+Px64YOT2nvIq/dPXAxrzp5KD8FuAAAAAAAAAADCRLB7Gjlw4ICysrJ09OhRnT9/flJB6y9/+cvavXv38LnH47li2Nrj8aiqqmr4fOXKlRE/3+Xr7tq1S48++mjE6wDR1NHRoYMHDw6fb9iwQZmZmTGsCAAQb+g1AAAzxF2/8fmk5uaR3baHjtpaaeVKaf/+0Gs4ncbVFwhI9fXSqI/Wu6KnnzauDmAa6ugd0L8fadIPDjeo9WJvRHNfrz+n5vPdys9ONag6TEXc9RoAwLREvwEAGI1eAwAwA/0GZiHYPY0Mhay3b98uKbgb9r59+yJaY6JwdlVV1YTB7v2X/cJ01apVET3XEIfDIY/HM7wmwW4AAAAAAGapQEA6e3Z8eNvtlurqpL6+ieelpYW3fklJ9GpNSpKKi8fuur1oUfTWB+JA8/luff9wg555u0ld/b6I5qbYbdq8aokeWldEqBsAAAAAAAAAgDAR7J4m2tvbxz22f//+K+62fSXZ2dnjHhsKXV/u5ZdfHnMeyfNcPm/oOTwej9rb25WVlTWptQAAAAAAwAzQ1RUMak8U4L5wIfL1jh8P7uhts1193Ny50oIF0pkz4a1rsUgFBWPD206n5HJJ+fmhnw+YpaqaLmhvpVcvVp+UPxDZ3JyMJH395kJ99calykpNNKZAAAAAAAAAAADiFMHuaW6iwPfVTBSoPnfu3IRjjx49GnJuOC4PhB89elQbN26c1FpANKSkpIzZgT4lJSWG1QAA4hG9BgBghmnXb9xu6fd/P/j1xInort3XJzU3S4WFoce6XOOD3QsWjA9vO53BHbmTk6NbKxCnfP6AXqo5pT2HvDrWGPkfaCxflKFt6x265/pcJSZYDagQRph2vQYAEJfoNwAAo9FrAABmoN/ALAS7p4msrKwxO18PPVZeXh7ROhPtzj1v3rwJx40OjU9lh+3L57788ssEuxFTdrtdeXl5sS4DABDH6DUAADOY0m8CAen8eWmC9w7GSUuTXnnFuFpqa8MLdn/1q9Ktt46Et0tKpAk+wQxAeLr6BvXjo816/LBXzed7Ip5/q2uBtq136OZl82SxWAyoEEbitQ0AwAz0GwCA0eg1AAAz0G9gFoLd08jLL7+szZs3q6qqSuXl5XrsscciXqO+vn7cYxOFticKgE/W5cHxaK4NAAAAAACi4OLF4E7bEx0JCcFwd6hAZm5uMNzd1WVMjW639OlPhx73e79nzPMDs8zJiz36wesNevqtJl3qHYxobmKCVV9ckactFUUqWZhhUIUAAAAAAAAAAMw+BLunEYfDoWPHjk1pjYlC1RPtnj16t+5oI9gNAAAAAEAM9PVJHk9w5+vLw9unT1997tmz0oIFVx9jsQR3yH7nnanXmps7suP20DHq4wsBGKe65aL2VHr0/PsnNegPRDQ3Oy1RD6wt0AM3FWh+epJBFQIAAAAAAAAAMHsR7I4zBw4cGHPucDjkcDjGjbs8fJ0dxY8sNjI0DgAAAADArOb3SydOBMPalwe4GxqC1yejtjZ0sFuKLNidmSm5XOMD3CUlUgY7/AJm8vsDeuXjNu055NGbnvMRz1+2IE1b1zv0OyvylGy3GVAhAAAAAAAAAACQCHbHlf37948LVe/YsWPCsefOnYva82ZlZY05Z8duxJrP51PXqI8GT0tLk83GLx0BANFDrwEAmGFMvwkElPGpT8ny4YdSb2/0n8ztlioqQo9zOsee2+1ScfHEAe6cnOAu3wBipqffp2erTujxQ155znaFnnCZdcXztLXCoU86F8hq5d/neMRrGwCAGeg3AACj0WsAAGag38AsBLvjyK5du8acOxwOPfzwwzGqBoidrq4uHTx4cPh8w4YNyszMjGFFAIB4Q68BAJjh8n5zd0eHbEaEuqVgsDscd98tzZ8/Et4uKJB40xKYdtou9erJNxr11JuNutA9ENFcu82ie67P1ZaKIpXmzjGoQkwXvLYBAJiBfgMAMBq9BgBgBvoNzEKwO054PB4dOHBgzGP79u274vjLd/a+fNft2eD9999Xd3e3UlNTx13r7e3V4OCgJCkhIUHJycmSpAULFignJ0eS1NnZKf9vP+I6KSlJSUlJ49bp6OgY/j4lJUV2u33M9XD+imdgYEA9PT3D5xM1g76+PvX19UmSrFar0tPTx43p6enRwEDwF3l2u10pKSnjxsTjPUkaride7ikef07cE/fEPXFPM+2eRq8VL/ckxd/PiXvinrgn7mlG3NOZM9JvX5eG2tlhoLBQtuPHr3h9Stzu8O5p+XJp+XJJv72ny+qN258T98Q9zZB7Otlt0Z5Kj372bqv6ff5xz3k1mckJ2ly+WL+7dqkKcrKmzT3F489pOt3T0Hug8XRP8fhz4p64J+6Je5rp99Td3T3usZl+T/H4c+KeuCfuiXuKp3vqHbU5QrzcUzz+nLgn7ol74p5m2j1dLScwU+9pSDz9nKJxT52dneMeNxPB7jixefPmMee7du1SeXl5jKqZGe6///6I5/zlX/6l/uqv/kqSdOTIEV26dEmS5HK5tPy3v9gebfRf6KxatUp5eXljrofzVzxtbW06evTo8PnnP//5cc/j9XpVW1srScrIyNCnPvWpcWOqq6vV2toqScrNzdXq1avHjYnHexq6r3i6p3j8OXFP3BP3xD3NxHu6kpl8T/H4c+KeuCfuiXualvd0/Lj03HMK/PSnSnvjDb20d6/6MzND7uxwIjVVxVe8Gp7BxET1L12q1BtuGNl12+mUXC5+TtwT9zTD7+kXTVa91GId9zyhFMxL1cZ8q1yJ7UoKeNXW2KeCnOlxT1L8/Zym2z2VlpaOuz7T7ykef07cE/fEPXFPM/2ePvjgg3GPzfR7isefE/fEPXFP3FM83dPx48d15syZuLqnePw5cU/cE/fEPc3Ue5rITL+nePw5TeWehvKGsUKwOw7s3r1bVVVVw+cPP/ywHn744RhWBMRWWlqaNmzYIEl66623wtoJAgCASKWmpurGG2+UFOw9AABciWVwUImvvy699Zb0/PPSb98wGnpTJqeqSiduvXXcvLS0NJWWlqqmpkaS1HnZm1hXZLVKRUVjgtsfBwJqTEpS77x5yl2y5Ip/GAtg5lqWGZBawh+/pjBbW9YXaeM1C1V17KhaW9sNqw3TV1JS0vD7aFKw91xt5yEAACbDah3547PCwkLeSwMARN3ojIAkffzxxzGsBgAQ74Z6Dq9tYBSC3TNce3u7tm/fPny+adMm7dq1a1LrAPHCZrMN/0XO1T7GHACAqRjdbwAAGOf8eS159VUtPHpUOVVVSrxKSG7h0aMTBrttNtuYj6zrys0dO2DRIsnpVHtOjk6kp6srN1eBkhKtvf9+KTFxzNBLb7+t3t/umAAgPrnmBORamKHa05euOMZqke66brG2rnfohvws84rDtGW1WnldAwAwnMViGf4+KSmJ390AAKLu8t/ZjO49AABEG++nwWiWQCAQiHURmLyVK1cO79a9adMm7du3L6x527dv1+7du4fPHQ6H6uvrJ1XD7t27x4TLJWk6/mNVU1OjsrKy4fOnn35axcXFSk1NHTe2t7dXg4ODkqSEhAQlJydLkhYsWKCcnBxJUmdnp/x+v6Tgm1BJSUnj1uno6Bj+PiUlRXa7fcx1n883ZgectLS0cW9mDQwMqKenZ/h8osbQ19envr4+ScFfxqSnp48b09PTo4GBAUmS3W4fEw4Ywj1xT9wT98Q9cU/cE/fEPXFP3BP3xD1N8p4SE6WPP5aeey64K/fhw9Jvr4cSmDNHl+rrlZaVdfV7am9X5uHDwV24S0qk394fPyfuiXvinob80n1Rj+x/f9xzpSXa9KUbFulra5bIuWT+jLqnePw5cU/cE/fEPXFP3BP3xD1xT9wT98Q9cU/cE/fEPXFP3BP3xD1xT9P3nt5//32tXbt2+LHq6mqVlpaOG2sUgt0z2ObNm7V//35JkYW6JWnHjh3auXPn8PlUgt07d+7Ujh07xjw2Hf+xujzYbfa/bAAAAACAONPfL736ajDI/fzzkscz+bVeeUUa9XGxACAF32N703NeS+elKi9r/Bvil+sb9Gnd/zqos53BN6bzslL00LpC3bs6XxnJ9hCzAQAAAAAAAABArLOmCaY9E6Jq586dkw51S9K8efOMKEtSMCQOAAAAAEBcamuTXnghGOR+6SXp0qXorEuwG8AoAz6/fvH+Se055FF1S4ceWleov7wn9JvGSQk2ff2mAh346LS2rnfoM2WLlGCzmlAxAAAAAAAAAACIBoLdM9D+/fuHd8h++OGHtWvXrojXyMrKinJV5qwNhGNgYEBtbW3D5zk5OeM+ngEAgKmg1wDALOT1SvffL731lhSNT6myWKQ1a6S77w4e118/bgj9Bph9LnYP6OkjTXri9Qad6ugdfvzHbzfrjzc6NScl9P8H/P6ty/QHnyqWxWIxslTECXoNAMAM9BsAgNHoNQAAM9BvYBaC3TPMgQMHtHnzZknSI488okcffXRS61y+q/b58+cnXVN9ff2Y8+zs7EmvBURDT0+Pjh49Ony+YcMGmigAIKroNQAwCy1eLH3wwdRC3enp0h13BIPcd90lLVx41eH0G2D2+WXNST36y4/HPd7V79O/H2nS9k8uC7kGO3QjEvQaAIAZ6DcAAKPRawAAZqDfwCy8yz+DVFVV6fbbb5ckPfroo5MOdUvjg93t7e2TXuvyUHh5efmk1wIAAAAAYFpKTpZ++5o8IoWF0h/+ofSrX0lnz0rPPis99FDIUDeA2enzN+RpXlrihNd+8HqDBnx+kysCAAAAAAAAAABmItg9Q3g8Ht12222SpF27dumRRx6Z0nqXB7unwuPxjDlfvXp11NYGAAAAAMAQfr907Jj0V38lfTx+d9wJ3X136DFWq1RRIf2v/yVVV0sej/SP/xjcqTspaUolA4h/yXabHripYMJrJy/26oUPTppcEQAAAAAAAAAAMJMlEJjKZwjDDO3t7Vq5cqU8Ho/27dunTZs2hT13+/btWrlypR5++OFx11auXKmqqqrh8/r6+kkFvpctWzYm3D3ZdYxWU1OjsrKy4fPq6mqVlpbGsCIAAAAAgKm6uqQDB6Tnn5d+8Qvp5G8Dkt/5jvRnfxZ6/qlT0uLF4x+fM0e6885g8PvOO6X586NbN4BZ5Vxnn276X6+of3Ds7tyfWp6jP/xUsVYsnRujygAAAAAAAAAAiH+xzpommPZMmLTbbrttUqFuSfrxj3+s26/wUdEbN24cE+z2eDyTCmSPDnVnZWVNy1A3AAAAAGCWamoKBrmff1565RWpr2/8mOefDy/YvWiRtHq19PbbUkmJdM89wTB3RYVkt0e/dgBxoaW9R0+83qCCean66o0T78Y92rz0JH2pPE8/OtKspASrvli+RFsqClWck2FCtQAAAAAAAAAAIJYIdk9zt99+u6qqqiYV6m5vb1d7e/sVg9b33nuvdu7cOXxeVVWljRs3Rvwco020MzgAAAAAAKbx+aQjR0bC3O+/H3rOW29JbW1STk7osf/4j1J2tuR0Tr1WAHHt/RPt2lPp1S8+OCmfP6C8rBTduypfCTZryLlbKhxamJmsB9YWaF56kgnVAgAAAAAAAACA6YBg9zS2fft2HThwYFKhbkk6cOCAJKm8vHzC6+Xl5SovLx/etfvll1/WI488MqnnGHLvvfdGXCcAAAAAAFPS0SG99FIwyP3CC9KZM5HNDwSC8x58MPTYtWsnVSKA2cHnD+jXH53WnkqvjjScH3Otpb1HL1af0j3X54ZcpzgnXX+8kT8gAQAAAAAAAABgtiHYPU3t3LlTu3fvnnSoWwoGtbOysq46Zvv27dq+fbsk6ejRo5N6jiEOh+OKIXIAAAAAAKKqvn5kV+5XX5UGBqa23vPPhxfsBoAJdPcP6tljJ7T3kFcN57qvOG5PpUd3f2KxLBaLidUBAAAAAAAAAICZgmD3NLR7927t2LFDu3bt0saNG9Xe3h5yzvnzIzsAeTweeTwe7d69Wxs3brzqvIcfflg7duxQe3u72tvbtX///oiC5Lt37x7+fteuXWHPA4zU19cnr9c7fF5UVKSkJD62GAAQPfQaAIiBQECqrBwJc3/0UXTWtdulW2+V7rwzOutFEf0GmP7aOnr1xBsN+uFbTWrvDv0HJu+duKijjRe0ujDbhOqA0Og1AAAz0G8AAEaj1wAAzEC/gVkIdk8zBw4cGN5Be/Ru2pPlcDhCjnnssce0efNmSdKOHTvCDnbv3Llz+PtNmzaFDJEDZunr61Ntbe3weW5uLk0UABBV9BoAiJEHH5RGvWE2aTk50mc/K919t3T77VJGxtTXNAD9Bpi+Pmzt0N5DXv38vRYN+AIRzf3hm40EuzFt0GsAAGag3wAAjEavAQCYgX4Ds1hjXQBGVFVV6fbbb4/qmitXrgw5ZtOmTXrkkUckBXf73rFjR8g5VVVVw+PKy8u1b9++qRUKAAAAAMDVWCzSPfdMfv7110t/9mfSm29KJ09Kjz8uffGL0zbUDWD6CQQCOljbpq/teUt3/WOlnq06EVGou3Beqv7m86X62y9eZ2CVAAAAAAAAAABgJmPH7mmivb1dt912W9TXDWfHbkl69NFHNW/ePO3YsWN4J+5HH310wrFVVVXDtZaXl+vYsWPRKRaIEqvVqoxR4Qyrlb9hAQBEF70GAKJoYEC6dEnKDmP32rvvlv7xH8NbNylJuu224Jy775by86dWZwzQb4DpoXfAp5++06K9h7yqa+uMeP6aomxtrSjSxmsWymq1GFAhMHn0GgCAGeg3AACj0WsAAGag38AslkAgENlnhcIQHo9Hy5Yti/q6Fy5cUFZWVtjjq6qqtHnzZnk8HjkcDm3fvl3l5eXKzs6Wx+PRM888o/379ysrK0vf/va3h3f6nglqampUVlY2fF5dXa3S0tIYVgQAAAAAs9TZs9KLL0rPPy/98pfSffdJu3aFntffL82bJ3VeIVi5ePFIkPu226S0tOjWDWBWOdfZpyffbNSTbzTqXFd/RHNtVos+e91ibV1fpE8syTKmQAAAAAAAAAAAEHWxzpqyY/c04XA4NB0y9uXl5aqvr1dVVZV27dqlZ555Rt/97nfV3t6urKwsrVq1So8++uiMCnQDAAAAAGIsEJBqaoJB7uefl954Q/L7R64//3xwjCXETraJidKnPy09++zIY6tWjYS5V6yQ2B0BwBQdb7ukvYe8eraqRf2D/tATRslIStBXblyqB28uVG5WikEVAgAAAAAAAACAeEWwGxMqLy/XrnB2SwMAAAAAYCJ9fdJvfjMS5m5ouPLY1lbp3XeDwexQNm2SBgake+6R7rpLys2NUsEAZrNAIKDX689pT6VHB2vPRDw/LytF36go0r2r85WexFuuAAAAAAAAAABgcvgtAwAAAAAAiI5Tp6QXXggGuV96SerqCn/u88+HF+y+777gAQBR0D/o13PvtWrPIa8+OtkR8fwb8rO0bb1Dny5dqAQbnxgAAAAAAAAAAACmhmA3AAAAAACYnEAguNP20K7cR45Mfq3nnpP+4i+iVhoAXE17d79++FaTnni9QW2X+iKaa7VIny5dpK3ri7SyINugCgEAAAAAAAAAwGxEsBtA3Onp6VF1dfXweVlZmVJSUmJYEQAg3tBrAMxqPT3Sr389EuZuaYnOurW1UkeHlJkZnfXiAP0GiL6Gs116/LBX+46eUM+AL6K5qYk2fXlVvr6xrkhL56UaVCFgLnoNAMAM9BsAgNHoNQAAM9BvYBaC3QDizsDAgFpbW4fPXS4XTRQAEFX0GgCz1p//ufT3fx8Md0eDwyHdc490993SLbdIiYnRWTdO0G+A6AgEAjraeEGPvebRyx+dViAQ2fxFmcl6cF2hvrJ6qeak2o0pEogReg0AwAz0GwCA0eg1AAAz0G9gFoLdAAAAAAAgPHPnTi3UbbVKFRXBIPfdd0vLl0sWS/TqA4BRBn1+vVh9SnsqPXrvxMWI55fmZmrbeofuum6xEhOsBlQIAAAAAAAAAAAwFsFuAHHHbrcrNzd3zDkAANFErwEwa91zj/Tf/ltkc7KypM98JhjkvvNOKTvbkNLiEf0GmLxznX363P87rJb2yP8YZeM1OdpS4dBaR7Ys/PEJ4hy9BgBgBvoNAMBo9BoAgBnoNzCLJRCI9MNHgZmppqZGZWVlw+fV1dUqLS2NYUUAAAAAEGMNDdLzz0unT0t/8zfhzXE6pbq6q49ZvnxkV+6bb5Z4YwtADHzpX17XscYLYY1NSrDqSyuXaEtFkZYtSDe4MgAAAAAAAAAAMF3FOmvKjt0AAAAAAMwWPp/01lvSc88FA93V1cHHExOlHTuk9DDCjHffLf3v/z32sYQE6ZOfHAlzFxdHv3YAiNDWiqKQwe756Un6+k0F+uraAmWnJZpUGQAAAAAAAAAAwMQIdgMAAAAAEM8uXpReeikY5n7hBencufFj+vulAwekL3wh9Hr33BMMds+bJ332s8Eg9x13SHPmRL10AJiKO0oXKT87Rc3ne8Zdcy3M0Jb1Rfrc9blKtttiUB0AAAAAAAAAAMB4BLsBAAAAAIg3x48Hd+R+7jnptdekwcHQc55/Prxgd0WFdOiQtHatZCMMCcBcXX2DeqepXRUl80OOtVkt+sa6Iv31cx8OP7a+ZL62rXdofcl8WSwWI0sFAAAAAAAAAACIGMFuAAAAAABmusFB6fDhkTB3bW3ka/ziF5LfL1mtVx9nt0vr1k2uTgCYpFMXe/XEGw16+q0m9fT7dOhbG5STkRxy3pdX5eufDtbrU8sXaEuFQ65FGSZUCwAAAAAAAAAAMDkEuwHEnc7OTh05cmT4fM2aNUpPT49hRQCAeEOvATAtnD8v/fKXwTD3iy9K7e1TW+/UKenYMWn16qiUh6mj3wBSTetF7a306ufvtWrQHxh+/Mk3GvUnd7hCzk9LStChHRuUbOcTBoCJ0GsAAGag3wAAjEavAQCYgX4DsxDsBhB3/H6/Ll26NOYcAIBootcAiJmmJumZZ4Jh7sOHJZ8vOuuuWCHdfbeUk/P/s/fn4XXe93ngfWMjCB6Q4gJQEqmFAGVLMulF1GJLlmxTpmwtYJxFilMnTZzEsfom6bTp20pvZqZtMu1MLqnTNkmn7UhemrRJmkRqm4aQvJC2bEuybImiN9K2bAnQSlkkuIjEIQmCwHn/OBRIigsA8iwA+Plc17mI55zn+Z3vA9q4BfLmD5VZj4qQN5ztRkdLufO/PJ2Xd+0/7rU/+8YL+c0PXJK2WeMXtpW64eRkDQC1IG8AqDZZA0AtyBtqRbEbAAAApotvfjO5664zX2f27GTNmnKZ+7bbkgsuOPM1ASqssbEhH79uWf7lQz847rVd+4bz3za9nF96z8V1mAwAAAAAAKA6FLuBGae1tTWXXnrpMccAUEmyBqibD30oaW5ODh2a/LVLl5aL3D09yY03JnPmVH4+KkreQPLRqy/MH234cfYOHf9177OP9edj11yUxsaGOkwGM4OsAaAW5A0A1SZrAKgFeUOtKHYDM05ra2suu+yyeo8BwAwma4CKKpWSZ55JJvJ15Zxzkve9L/nylye29jXXHClzv+tdSYPy43QibyCZO7slv3DNhfnUo/1ver45N604N0OHRtM2q6lO08H0J2sAqAV5A0C1yRoAakHeUCuK3QAAAFBrBw4kjzyS9PaWHy++mDz3XNLdPf61a9eevNhdKJR39e7pSW69NTnvvMrODXCGSqVSHn92R/7yqRfzf9/xzsxuGb+U/fH3duWzjz+fkdFSLlzYll97b1d+/qoLU2j1R5sAAAAAAMDM4m8/AAAAoBZefTV56KFykXv9+mTfvmNff+ih5O///fHX6elJfud3jhxffHG57N3Tk7z//cns2ZWdG6AChg6N5G+/vTWfeaw/P/zJ3iTJey/pyN+55qJxr106vy3/4INvyVsWt+dDK85LU6OfPgAAAAAAAMxMit0AAABQDaVSsmnTkV25N2489fnr1k2s2H3JJcnHPpa8/e3lMveKFUmDkiMwNe0qHsyff/OF/OkTL2T73qFjXvv0o3356FUXpnECRe3/5YNvqdaIAAAAAAAAU4ZiNwAAAFTKvn3Jhg3lIvdDDyVbt0782q98Jdm7N5k7d/xz//zPT3tEgFroHyjmM4/15cGnX86B4dETnvPc9mK++qPtWX3Z4hpPBwAAAAAAMDUpdgMzzp49e/LII4+MHa9evTrz5s2r40QAzDSyBjjGSy8d2ZX7y19ODhw4vXWGh5P165Of/dnKzse0JW+YbkqlUp7s35lPPdqfL/3wtZRK41/zqUf7FLuhjmQNALUgbwCoNlkDQC3IG2pFsRsAAAAmY3Q0eeqpZN26cpn7O9+pzLpNTcmPflSZtQBqaHhkNA9/79V8+tH+fO+V1yd17def25Efv7Y3bzl3Aj+tAAAAAAAAYIZT7AYAAICJev755N3vTrZtq8x6CxYkt96a9PQkH/5w+Rhgmnh9/3D+6qkX8yePP5+tr0/upxU0NCRrLj83n7i+K5csbq/ShAAAAAAAANOLYjcw47S1teWqq6465hgAKknWwFnsoovOfI23va1c5O7pSa69Nmn2rTknJm+Yql7auS+ffbw/f/3USykeHJnUtbNbGnPHlRfmV9+7LN2dCt1Qb7IGgFqQNwBUm6wBoBbkDbXib4+BGaelpSVLly6t9xgAzGCyBs5ijY3Jbbcl/+k/TfyalpbkAx8oF7lvuy1Zvrxq4zGzyBummk0v7spnHu3P5za/mtHS5K7tnNuaj1+3LB+75qIsKMyqzoDApMkaAGpB3gBQbbIGgFqQN9SKYjcAAABnr127ki98IentTX7zN5Prrhv/mrVrxy92d3aWS9w9PclNNyXz5lVmXoAaGxkt5YtbfpJPPdqXTS/unvT1l503N5+4oTtr33l+WpubKj8gAAAAAADADKLYDQAAwNnlmWfKRe7e3uTRR5ORkfLz558/sWL3mjXJrFnJwYPHPv+Od5RL3z09yTXXlHf3BpimBocO5YGNL+Wzj/fnpZ37J339By7tzCeu7857L1mUhoaGKkwIAAAAAAAw8yh2AwAAMLMNDyePPZasW1cuc//4xyc+r7c3+Vf/avz15s5NPvCB5KtfTT74wXKR+7bbkosuqujYAPXw6uv78ydffz5/8c0Xs/fAoUldO6u5MT97xdL82vVdeeu5c6s0IQAAAAAAwMyl2A3MOCMjIykWi2PHhUIhTU1+3DMAlSNrYBrYsSP53OfKZe7Pfz7Zs2f8a374w+TZZ5NLLhn/3PvuSzo7k0LhzGeFk5A31NLmV17Ppx/tS+93X82h0dKkrl1YmJW/+56L80vvuTidc1urNCFQDbIGgFqQNwBUm6wBoBbkDbWi2A3MOMViMY888sjY8erVqzNv3rw6TgTATCNrYAoqlZLvf7+86/a6dckTTySjo5Nfp7c3+Yf/cPzzli2b/NowSfKGahsdLeXLP9yWTz/Wl2/07Zz09cs7C/nEDd35mSuWZnaLP7yG6UjWAFAL8gaAapM1ANSCvKFWFLsBAACYnoaGkq9+tVzG7u1N+vvPfM2JFrsBprH9B0fy3za9nM8+1p++geL4F7zJdcsX5Tdu6M7739qZxsaGKkwIAAAAAABwdlLsBgAAYPoolZI//dPyrtxf/GIyOFiZdS+8MOnpST7ykcqsBzAFbdt7IP/liRfyZ994Ibv2DU/q2pamhqx955L8+vVdWbHknCpNCAAAAAAAcHZrKJVKpXoPAbWwZcuWrFy5cux48+bNWbFiRR0nolpGRkZSLB7ZcaxQKKSpyY+EBqByZA3U2ZVXJps2ndkaDQ3Ju99dLnOvXZu8/e3l52AKkTdU0n96vD9/8PAPc3BkdFLXzZvdnF98z8X5lWuX5bxzZldpOqBeZA0AtSBvAKg2WQNALcibs0e9u6Z27AZmnKampsybN6/eYwAwg8kaqLO1a0+v2N3ennz4w+Uy9623JosXV342qCB5QyVdsrh9UqXuixfNya9f35WfW3VBCq3+CBFmKlkDQC3IGwCqTdYAUAvyhlrxtzIAAADU3yuvJMVi8ta3jn9uT0/y+78/sXW7uspF8J6e5H3vS1pbz2xOgGnq+ks6ctl5c/PDn+w95XlXL1uQT9zQnTWXn5umRj/JAAAAAAAAoJYUuwEAAKi90dHk6aeT3t7yY9Om5I47kr/+6/GvXbUqOe+85Cc/Of61xsbkve8tF7l7epLLL08aFBMBGhoa8uvXd+WfPPjd415ramzILSvPyydu6M67Lpxf++EAAAAAAABIotgNAABArQwOJhs2lIvcDz10fDH7C19IDh5MZs069TqNjeXS9qc/XT4+55zkllvKz918c7JoUXXmB5iCnts+mMKs5px3zuxxz/2pdy3JvV94Jtv3DiVJ2lub8wtXX5iPv3dZLlgwp9qjAgAAAAAAMA7FbmDGGR4ezrZt28aOFy9enJaWljpOBMBMI2tgEl544ciu3I88kgwNnfzcPXuSxx5Lbrxx/HU/9rFyobunp7xDt/8PMgPJG06mVCrlib4d+cyj/fnSD7fl49cty+/91Ipxr2ttbsqvXHtx/uuTL+VX37ssH736wsyd7X9TcDaTNQDUgrwBoNpkDQC1IG+oFcVuYMbZv39/Nm7cOHa8evVqIQpARckaOIWRkeSb3zxS5v7e9yZ3/bp1Eyt2r15dfsAMJm94s+GR0fR+d2s+/Wh/tmzdM/b8X298Kb+z5q05Z874//v4xA3d+XvvX57mpsZqjgpME7IGgFqQNwBUm6wBoBbkDbWi2A0AAMCZef315ItfLBe5H344GRg4/bXWrUv+zb9JGhoqNx/ADPG3396a/+8D3znu+X0HR/Jfn3oxf+/9y8ddY3ZLUzVGAwAAAAAAoAJszQMAAMDkPfts8od/mKxZk3R0JD//88l//s9nVupOkra2ZPfuSkwIMOPc9o7z09E+64Sv/cnjz+fgodEaTwQAAAAAAEAlNZRKpVK9h4Ba2LJlS1auXDl2vHnz5qxYsaKOEwEAwDT1W7+V/If/UJm1Zs1KVq9OenqS225Luroqsy7ADPVHG36cf7vhRyd87Q8/+q789BVLazwRAAAAAADAzFHvrmlzzd4JAACAmeHKK8/s+sWLyyXutWvLO37PnVuZuQDOAr/0novyH77ybIbetDv3286fl3PmtNRpKgAAAAAAACpBsRsAAIDJufXWyV/zrneVi9w9PclVVyWNjRUfC2A62ntgOH+98eXMm92cO666cNzzF7W35mdXXZD/+uSLSZIbL1ucT1zflWuXL0pDQ0O1xwUAAAAAAKCKFLsBAADOZgcPJo8+mvT2Jj/5SfJf/+v415x3XnLNNcmTT578nNmzkw9+sFzk7ulJLrigcjMDzACv7N6fP3m8P3/55EvZO3QoS86ZnZ++Ymlamsb/hy+/fn3X4V+X5ZLFfuoBAAAAAADATKHYDQAAcLbZvj353OfKZe4vfCHZs6f8fEND8kd/lCxePP4aPT3HF7uXLDlS5P7gB5M5cyo/O8A0992Xd+fTj/bnoe+9mpHR0tjzW18/kM9t/kl+6p1Lxl3jksXt+YOffXs1xwQAAAAAAKAOFLuBGWdoaCj9/f1jx11dXWltba3jRADMNLKGaadUSjZvLhe5e3uTJ54oP3ei8x5+OPn4x8dfs6cn+Wf/LLn66iNl7iuuKJfDgYqQNzPHyGgpX/rBa/n0o/158vmdJz3v04/2Ze07zk+Dr6VAjcgaAGpB3gBQbbIGgFqQN9SKYjcw4wwNDeWZZ54ZO16yZIkQBaCiZA3TwoEDyVe+cqTM/cILE7uut3dixe53vSvZujU5//wzGBI4FXkz/e07eCj/7emX85nH+vP8jn3jnv/dl1/PU8/vyjVdC2swHYCsAaA25A0A1SZrAKgFeUOtKHYDAADMFK++Wt5xu7c3Wb8+KRYnv8YXvpAMDSXj/SFEQ4NSN8BJbNtzIH/6xPP582++mN37hid17Wcf61fsBgAAAAAAOEspdgMzTmNjY+bOnXvMMQBUkqxhyiiVkm9968iu3E89deZrDg4mX/tactNNZ74WcEbkzfTz/a178pnH+vO333klwyOlSV07f05LfundF+eXr724StMBHE/WAFAL8gaAapM1ANSCvKFWGkql0uT+lgmmqS1btmTlypVjx5s3b86KFSvqOBEAAJym730v+X/+n3KZe+vWyqw5b17y4Q8nPT3J2rXJggWVWRdghhsdLeWrP96ezzzan8eeHZj09V0dhfza9V25fdUFaZvVVIUJAQAAAAAAmKh6d03t2A0AADDdvPZacv/9Z77O8uXlEndPT3LDDcmsWWe+JsBZ4sDwSP7mW6/k04/159ltg5O+/t1dC/OJG7rzwcsWp7GxoQoTAgAAAAAAMN0odgMAAEw373tfMndusnfv5K5rakquv75c5O7pSS69NGlQJgSYjIHBofzZN17If3nihewoHpzUtU2NDel5x/n59eu78o4L5ldnQAAAAAAAAKYtxW4AAICpYO/e5MtfTn7qp8YvW8+alXz4w8mDD46/7oIFyS23lIvcN99cPgZg0p7dtjefeaw//23TKzl4aHRS186d3ZyPXXNRfuW6ZVkyv61KEwIAAAAAADDdKXYDAADUS39/0ttbfnzlK8nBg8nTTyerVo1/bU/PyYvdl19+ZFfu665Lmn3rB3A6SqVSvv7cjnz60b488sz2SV9/wYK2/Np7u/LzV1+Y9lZfiwEAAAAAADg1f6MEzDj79+/P5s2bx45XrlyZtjY7ogFQObKG03boUPKNb5SL3OvWJd///vHnrFs3sWL3LbeUd/YulZKWluT97z9S5l6+vPKzAzUnb+rn4KHRrPvO1nz6sf784NU9k77+iovm5zdu6M6H3nZumpsaqzAhQGXIGgBqQd4AUG2yBoBakDfUimI3MOMMDw9n69atY8eXXnqpEAWgomQNk7J7d/KFL5TL3A8/nOzceerze3uTf/7Px1938eLk934vedvbkg99KJk3rxLTAlOIvKm93fsO5s+/+WL+9OvPZ9veoUld29iQfHjFefnEDd258uIFVZoQoLJkDQC1IG8AqDZZA0AtyBtqRbEbAACg0n70o3JBu7c3efTR8k7dE7VxY/Lqq8n5549/7j/7Z6c/IwBjnh8o5rOP9+eBjS9n//DIpK6dM6spH736wvzqdV25aNGcKk0IAAAAAADA2UCxG5hxWlpasmTJkmOOAaCSZA3HGR5OHnusXORety758Y/PbL2HH05+/dcrMxswbcmb6iqVSnnq+V359KN9Wf+D11IqTe768+bNzq++d1l+4ZqLck6b3xtgepI1ANSCvAGg2mQNALUgb6gVxW5gxmlra8vVV19d7zEAmMFkDUmSHTuSz32uXOb+/OeT11+vzLrnnpsMDVVmLWBakzfVs/fAcH7p09/Md16e/NfulUvn5Tdu6M6tbz8/LU2NVZgOoHZkDQC1IG8AqDZZA0AtyBtqRbEbAABgsl56KVm2LBkdrcx6q1YlPT3lx5VXJo2KggDVNHd2y6RL2WsuX5xP3NCdd3ctTENDQ5UmAwAAAAAA4Gym2A0AADBZF16YLF+e/PjHp3d9W1uyZk25yH3bbcnSpZWdD4BxfeKGrmx8Ydcpz5nd0pifW3VBfu36rizvbK/RZAAAAAAAAJytFLsBAABOx9q1yb/5NxM//4ILjuzKfeON5XI3AHVz09vOy0UL5+TFnfuOe62jvTW/cu3F+cX3XJyFhVl1mA4AAAAAAICzkWI3AABwdiuVku9+N+ntLT9+93eTn/qp8a/r6Tl1sbuhIbnmmiNl7ne+s/wcAFUzMlrK97fuydsvOGfcc5saG/Jr712W31v3/bHnLj13bn79hq585F1L0trcVM1RAQAAAAAA4DiK3cCMMzg4mCeffHLs+Jprrkl7ux+ZDUDlyJoZYP/+5JFHjpS5X3rpyGt/+7cTK3Zff30yb16yZ8+R59rbkw99qFzkvvXW5NxzKz87cNaQNxNXHDqUB59+OZ99vD9bd+/P43ffmMXzZo973R1XXZh/u+HHeeeF8/OJ67tyw1s60uAf4QBnEVkDQC3IGwCqTdYAUAvyhlpR7AZmnNHR0ezdu/eYYwCoJFkzTW3dmjz0ULnIvWFDsm/fic/r7U1GR5PGxlOv19KS3Hxz8uSTydq15TL3+9+ftLZWfnbgrCRvxveT1w/kT594Pn/xzRfz+v7hsef/8xMv5B9/+NJxry+0Nucr//gDWVCYVc0xAaYsWQNALcgbAKpN1gBQC/KGWlHsBgAAZqbR0WTTpiO7cj/99MSue+218rlXXz3+uZ/5TFIoJHZ3Bai5UqmUj336G+nbXjzutT/75gv5rdWXpG1W07jrKHUDAAAAAAAwVSh2AzNOa2trLr300mOOAaCSZM0UViyWd+Pu7S3vzv3qq6e3Tm/vxIrdfrQWUEXy5tQaGhryS+++OP9H7/ePe233vuE8uOnl/N33XFyHyQCmD1kDQC3IGwCqTdYAUAvyhlppKJVKpXoPAbWwZcuWrFy5cux48+bNWbFiRR0nAgCgIl588ciu3F/+cjI0dOZrXnFFebdvAKa0waFDufb/+lL2Dh067rWujkK+9I/en8ZGP1UBAAAAAACAial319SO3QAAwPT0+7+f/Pf/nnz3u5VZr7k5ueGGpKen/ABgymtvbc7fefdFuf9rfcc839zYkHddOD+DBw9l3uyWOk0HAAAAAAAAk6PYDQAATE+PPXbmpe6FC5Nbby0XuT/84WT+/IqMBsDp+/Fre/Nn33ghv3vr5Znd0jTu+R+/blk+81h/RkZLmTe7OR9798X5lesuzvnntNVgWgAAAAAAAKgcxW4AAGB66ulJNmyY/HUrVhzZlfvaa5Om8UuDAFRXqVTKY88O5NOP9uerP9qeJHnreXPzi+++eNxrl8xvyydu6Mr582bnjqsuTKHVH3cBAAAAAAAwPfmbLgAAYGo4dCj5+teTxsbk+uvHP7+nJ/mH/3D882bNSj7wgSNl7q6uM50UgAoZOjSSv/321nzmsf788Cd7j3ntM4/15+9cfVEaGxvGXed3b7m8WiMCAAAAAABAzSh2AzPOnj178sgjj4wdr169OvPmzavjRADMNLKmgnbtSj7/+aS3N/nc58rHN92UfPGL41+7fHly+eXJD35w/GuLFye33VYuct90UzJ3buVnB6iymZw3u4oH8+fffCF/+sQL2b536ITn9G0v5is/2pYbLzu3xtMBnD1mctYAMHXIGwCqTdYAUAvyhlpR7AYAAGqnVEqeeaZc5O7tTR57LBkZOfacr3wl2bt3YmXsnp4jxe53vevIrtxXX13e+RuAKaV/oJjPPtafB55+KQeGR8c9/1Nf61fsBgAAAAAA4Kyh2A0AAFTXwYPJo48eKXM/++ypzx8eLu/Y/XM/N/7av/RLSXd3eXfuCy+szLwAVFSpVMqT/TvzqUf786UfvpZSaeLXPtG3I1u2vp4VS86p3oAAAAAAAAAwRSh2AzNOW1tbrrrqqmOOAaCSZM0EDAwkn/tcsm5d8oUvJHv2TO763t6JFbvf8Y7yA2AGmu55Mzwymoe/92o+81h/vvvy65O+/h0XnJNP3NCdt547gZ/gAMBpme5ZA8D0IG8AqDZZA0AtyBtqRbEbmHFaWlqydOnSeo8BwAwma06gVEq2bCkXstetS554IpPakvXNHnooGR1NGhsrNyPANDNd82bPgeH85ZMv5k8efz5bXz8wqWsbGpI1l5+b37ihO1cvW5CGhoYqTQlAMn2zBoDpRd4AUG2yBoBakDfUimI3AABweoaGkq98pVzm7u1Nnn++MuvOmZNcd12ya1eyaFFl1gSg6l7auS//6fHn81dPvZjiwZFJXTu7pTF3XHlhfu36rnR1FKo0IQAAAAAAAExtit0AAMDp+V/+l+T++yuz1kUXJT09ydq1yQc+kMyeXZl1Aai6TS/uymce7c/nNr+a0Un+sIbOua35+HXL8rFrLsqCwqzqDAgAAAAAAADThGI3AABwem6++fSL3Q0NyXvec6TMvXJl+TkApoWR0VK+uOUn+fRj/Xn6hV2Tvv6y8+bmEzd0Z+07z09rc1MVJgQAAAAAAIDpR7EbmHFGRkZSLBbHjguFQpqaFAUAqJwZnzWjo0lj4/jnrVmTzJqVHDw4sXXnzk0+/OFykfuWW5LOzjObE2CGm4p5Uxw6lL/e+FI++3h/Xtq5f9LXf+DSznzi+u6895JFafAPegDqbipmDQAzj7wBoNpkDQC1IG+oFcVuYMYpFot55JFHxo5Xr16defPm1XEiAGaaGZk1L7+cPPRQ0ttb/vhb3xr/mrlzkw98IPniF09+Tnd3uci9dm1yww3lIjgAEzKV8ubV1/fnT77+fP7rN1/MngOHJnXtrObG/OwVS/Pr13flLefOrdKEAJyOqZQ1AMxc8gaAapM1ANSCvKFWFLsBAOBsNDqabNxYLnKvW5d8+9vHvv6jHyVvfev466xde2yxu6kpee97k56e8muXXprYkRVg2tr8yuv59KN96f3uqzk0WprUtQsLs/J333Nxfuk9F6dzbmuVJgQAAAAAAICZQ7EbAADOFoODyfr15TL3Qw8lr7128nMfemhixe7bbkv+6T9NbrmlXOa++eZk4cLKzQxAzY2OlvLIM9vyqUf78o2+nZO+fnlnIZ+4oTs/c8XSzG7xIwgBAAAAAABgohpKpdLktluCaWrLli1ZuXLl2PHmzZuzYsWKOk5EtYyMjKRYLI4dFwqFNDUpEwBQOdMqa55//siu3F/5SnLw4MSuW706+fKXJ3buoUNJs38zClBptc6b/QdH8t+/9XI+81h/+rYXx7/gTd57yaJ84vruvP+tnWls9NMaAKaDafW9DQDTlrwBoNpkDQC1IG/OHvXummpfADNOU1NT5s2bV+8xAJjBpnTWjIwk3/jGkTL3li2nt86jjya7dyfz549/rlI3QFXUMm/+57dfye/97Zbs2jc8qetamhqy9p1L8uvXd2XFknOqNB0A1TKlv7cBYMaQNwBUm6wBoBbkDbWigQEAANPd668nX/hCucz98MPJjh1nvuahQ8n69ckdd5z5WgBMeYsKrZMqdZ/T1pJffPdF+eVrl+W8c2ZXcTIAAAAAAAA4eyh2AwDAdPXEE8n/9r+Vd9c+dKgya7797UlPT7J2bXLNNZVZE4Ap772XLMpl583ND3+y95TnXbxoTn79+q7cfuUFmTPLHysBAAAAAABAJfkbOAAAmK5mzUoeeeTM17jxxnKZu6cnufjiyswGwLTS0NCQT9zQnX/8wHdO+Po1yxbm12/oyprLz01TY0ONpwMAAAAAAICzg2I3MOMMDw9n27ZtY8eLFy9OS0tLHScCYKaZMllzxRXJ+ecnr746uevOOy+57bZykXvNmqS9vTrzAXBGKpE3u4oHM1IqpaO9ddxzf+qdS3Lv53+YbXuHkiRNjQ25ZeV5+cQN3XnXhfMn9b4ATA9T5nsbAGY0eQNAtckaAGpB3lArit3AjLN///5s3Lhx7Hj16tVCFICKqlrWlErJD36QPPRQ8g/+QXk37VNpbCyXsz/1qfHXXrWqfO7ateWPGxvPfF4AqupM8qZv+2A+81h//tuml/MLV1+U3/upFeNeM6u5Mb9y3bL8x688l79zzYX5leuW5YIFc057fgCmPn+OBkAtyBsAqk3WAFAL8oZaUewGAIB6GhpKvva1pLc3Wbcu6e8vP79qVfLBD45//cmK3W1t5d24e3rKu3MvXVrZuQGYckqlUr7RtzOfeawvG35wZMeIv974Un5nzVtzzpzx/3DxV65bll++9uLMne0PIgEAAAAAAKDWFLsBAKDWtm1LHn64XOb+wheSwcHjz+ntnVix+4MfTFpbywXxCy4oF7l7epIbbyyXuwE4a3xu80/ym3++6bjn9x0cyV88+WL+Px9YPu4a7a3+qAgAAAAAAADqpaFUKpXqPQTUwpYtW7Jy5cqx482bN2fFivF/FDUAwBkrlZLvfrdc1u7tTb75zfJzp7J8efLjHycNDeOv/xd/kbztbck73zmx8wGYkQ4Mj+T6e76cgcGDx7127rzWPHrXjZnV3FiHyQAAAAAAAGB6qHfX1DZMAABQDQcOJI88kqxbVy5zv/TS5K5/7rnkmWeSyy4b/9yPfez0ZgRgRpnd0pRfvnZZ/s36Hx332mt7hvLQ97bmZ664oA6TAQAAAAAAABOh2A0AAJXy6qvJQw+Vy9wbNiT79p3Zer29Eyt2A8Bhv/jui/LvH3k2Q4dGj3n+3Hmt4/6wCAAAAAAAAKC+FLsBAOB0jY4m3/pWuYC9bl3y9NOVWbexMbn22mTp0sqsB8C0dWhkNF/8/msZGS1l7TuXjHv+ovbW/NyVF+QvvvlikuRt58/LJ27oSs87lmRWc2O1xwUAAAAAAADOgGI3AACcru3bk6uuqsxa8+YlN9+crF1b/rWjozLrAjBtjIyWsnX3/vQNFNO/fTD9A8V86Yfb8vKu/VlyzuzcvPK8tDSNX87+9eu78pPXD+QTN3Tl2u5FaWhoqMH0AAAAAAAAwJlS7AZmnKGhofT3948dd3V1pbW1tY4TATDTHJ01F7/jHWn77ndPb6FLLikXudeuTa6/PmlpqeCUAExFpVIpO4sHD5e3i+VfB8ol7ud37MvBQ6MnvG7r6wfyt996KT931cXjvsfyzvZ89uNXV3p0AGYgf44GQC3IGwCqTdYAUAvyhlpR7AZmnKGhoTzzzDNjx0uWLBGiAEzOyEj5MWvWCV8+OmtKK1fm8okWu5uakhtuSHp6ymXut761UhMDMMXsO3gofduL6R848nhjJ+49Bw6d1pqfffz5/OyVF9mBG4CK8edoANSCvAGg2mQNALUgb6gVxW4AAEiSPXuS9euT3t7koYeSe+5JfvVXx73sJ1ddlcv/4i9OfsKCBcmtt5bL3DffnMyfX7mZAair4ZHRvLRz35uK2+WPf7LnQMXfb8urg3myf2fe3b2o4msDAAAAAAAA9afYDcw4jY2NmTt37jHHAHBCfX3lIve6dclXv5oMDx95bd26kxa7j86a0jvekdGlS9P4yitHTnjb247syv2e9yTN/rMbYLoqlUp5bc9Q+gYGywXuo3bhfnHnvhwaLdV0nk892q/YDUDF+HM0AGpB3gBQbbIGgFqQN9RKQ6lUqu3fQEKdbNmyJStXrhw73rx5c1asWFHHiQCAmjt0KHniiSNl7h/84OTnFgrJjh3JRH500j/4B+W1enrKj+7uys0MQM3sPziSz295Nf3bD+++ffix7+BIvUdLS1NDPvKupfn167ty+fnz6j0OAAAAAAAAzEj17praOhAAgJlt167kC18oF7k/97ny8UQUi+VdvD/0ofHP/cM/TBoazmhMAOpvpFTK7/zVd+o9RpLk3Hmt6eoopKujPW87f24+vOK8LJ43u95jAQAAAAAAAFWk2A0AwMxSKiU/+tGRXbkfeywZOc2dVtetm1ixW6kbYMoYGS1l6+79Y7tt9w8U8/yOYj79y1eluenUPxKvvbU5585rzWt7hmoy69zW5nR3FtLd2X64xH3kUWj1RzYAAAAAAABwtvG3hAAATH8HD5YL3OvWlQvdzz5bmXU3bKjMOgDUxHPbB3PLHz2ag4dGj3vtpV3709VRGHeNro5CRYvds5oac/GiOenqKBe4uzsK6eosl7cXFWalwT8OAgAAAAAAAA5T7AYAYHr7xCeSBx5I9uypzHrnn5/09JQfH/xgZdYE4LTsO3gozw/sy6uv788HLz933POXnNN2wlJ3kvQPDE6w2N2eb/TtnNScDQ3l9+7uLJSL2x2FdB0ucS+Z35amRuVtAAAAAAAAYHyK3cCMs3///mzevHnseOXKlWlra6vjRABU1euvn3mp+6qrjpS5r7giaWw85emyBqByDo2M5uVd+9M/UEzfQDH9A4Pp215M/0Axr75+IEnS2JD88F/cklnNp/763DarKUvnt+WV3fuPe61vezE3Xjb+PN2nKH8vLMw6qrj9Rom7PRcvmpPZLU3jLz5J8gaAapM1ANSCvAGg2mQNALUgb6gVxW5gxhkeHs7WrVvHji+99FIhCjCT9fQkDz44uWvmzEluuql87a23JkuWTOpyWQMwOaVSKdv3Dh0ubpcffdsH0zdQzIs79uXQaOmU14+Wkhd3FnPJ4rnjvldXR+GExe7+geKEZn3reXNz+fnzjt19+/Bj/pxZE1qjUuQNANUmawCoBXkDQLXJGgBqQd5QK4rdAABMLa+9ljz8cNLentxxx/jn33pr0tCQlE5dCsyFFyZr15bL3B/4QOIbLICK23NgOM+PFbeP7MDdv72Y4sGRM1q7b/vEi92PPTtw3PMTLXa//62def9bOyc9HwAAAAAAAMCZUuwGZpyWlpYsOWrn1ZaWljpOA8C4SqXkO99JenuTdeuSJ58sP3/VVRMrdnd2Ju95T/LEE8c+39CQvPvdR8rcb397+bkKkDXA2Wzo0Ehe2rnvSHF7++Ei90AxA4NDVXvfiRazuzoKYx8vntuaro5CujsLeccF86s0WfXIGwCqTdYAUAvyBoBqkzUA1IK8oVYUu4EZp62tLVdffXW9xwDgVPbvT7785XKZu7c3efnl48/ZuDHZujU56hujk+rpKRe729uTD3+4XOa+5ZZk8eLKzx5ZA8x8o6OlvLrnQPq3F9M3MJi+w+Xt/oFiXt61L6Pj/JCEaphosfu2d5yfq5ctzLKOOZk7e3r/gZq8AaDaZA0AtSBvAKg2WQNALcgbakWxGwCA2njlleShh8q7cn/pS+Vy93gefjj5xCfGP++Xfim55prkfe9LZs0681kBzkJ/861X8oUtPxkrcA8dGq33SGNamhomPM+582bn3HmzqzwRAAAAAAAAQOUpdgMAUB2jo8nTT5d35F63LvnWtya/Rm/vxIrdF11UfgBwnFKplIaGhnHP+8Gre/K5zT+pwUQnt3R+W7o6CmOP7s5Cujvas2T+7DQ3NdZ1NgAAAAAAAIBqU+wGAKByBgeTDRvKRe6HHkpee+3M1lu/PjlwIJlt51WA8WzdvT8/em1v+rYXx3bd7h8o5o6rLsg/XPPWca/v6ijUYMpkwZyWw8Xt9nR3HilxL1tUSNuspprMAAAAAAAAADAVKXYDAHBmXnyxXORety555JHk4MHKrHvppUlPT7Jvn2I3wAT8y4e+n4e/d/yO233bixO6vruzvWKztDY3ju24/UaJu6ujkO6OQhYUZlXsfQAAAAAAAABmEsVuYMYZHBzMk08+OXZ8zTXXpL29ciUVAN7kj/84+df/+szXaW5O3ve+ZO3a5Lbbkre85czXrBJZA1TT4NCh9G8vpm9gMP0DxVzbvSjv7l407nUn23G7b2BwQu872R27GxuSCxbMGStvd79R4O4s5Px5s9PY2DCp9TievAGg2mQNALUgbwCoNlkDQC3IG2pFsRuYcUZHR7N3795jjgGoop6e0y92L1qU3Hprucz9oQ8l55xT2dmqRNYAZ+rgodG8tGtf+rYX03+4wF3+uJhte4eOOXd49egEi90n/oOj/u3FlEqlNDScumjd0T4rc1ubs3fo0Jueb033Mbtvlz++cOGctDY3jTsXp0/eAFBtsgaAWpA3AFSbrAGgFuQNtaLYDQDAie3YUS5ej+e97y0Xsl9/fWLrrlxZLoOvXZu8+91Jk1IgMDONjpby2t4D6d9ezHMDxfQfVeJ+adf+jIyWJrRO3/bihM7r7jzxjtvFgyPZvncoi+fNPuX1DQ0N+eXrLk5zY+NYiXtZRyHzZrdM6P0BAAAAAAAAODOK3cCM09ramksvvfSYYwAmYHg4+frXk3Xrkt7eZPfuZOvWpLHx1Ne1tCS33JL85V+e+PVZs5LVq8tl7p6eZNmySk9ec7IGONrr+4bT96Zdt/sGinl+oJj9wyNnvH7/wASL3R0nLnYnSd9Acdxid5L8kw9fNuG5qD55A0C1yRoAakHeAFBtsgaAWpA31IpiNzDjtLa25rLLFFIAJmTnzuTzny+XuT//+XKZ+2hPP51cffX46/T0HFvsPvfc5Lbbyrtyr1mTtLdXdOx6kzVw9jkwPJIXduxL/8Bg+o4qcPcPFLOzeLCq790/UMzoaCmNjQ2nPG/+nFlZWJiV1uYjO253dbSnu6OQy8+bV9UZqQ55A0C1yRoAakHeAFBtsgaAWpA31IpiNwDA2aRUSn74w/KO3OvWJY8/noyOnvz83t6JFbtvvjm58srk1lvLZe4rrxx/p2+AKWZktJStu/enb6CY/u2DYztv920vZuvr+1Mq1WeuoUOjeXXPgSyd3zbuuU/87o1pbW6qwVQAAAAAAAAAVJpiNwDATHfwYPK1r5WL3L29SV/fxK9dty75/d8f/7xFi5KNG09/RoA6emX3/nz8s0/mhR37cnDkFP/YpcZamxsP77pdyKEJzqXUDQAAAAAAADB9KXYDAMxE27Yln/tcuZj9xS8me/ee3jrf+lbyyivJ0qWVnQ+gyopDh/Lyrv259Ly54567qDArP942WIOpjtfYkFywYM5Ygbu7szD28ZJz2tLY2FCXuQAAAAAAAACoPcVuAICZoFRKvve9I7tyf/Ob5ecq4Yknkttvr8xaAFWwbe+B/O23t+a57cX0Dwymf6CY1/YMpbEh+cG/uHncXaxntzRl6fy2vLJ7f9Vm7Gifle6O9nJp+3B5u7ujkIsWzbHLNgAAAAAAAABJFLuBGWjPnj155JFHxo5Xr16defPm1XEigCp75JHk4x9PXnyxMusVCslNNyVr1ya33pqcd15l1p1BZA1MLXv2D+dfPvSD454fLSUv7dyXSxaPv2t3V0fhjIvdc2Y1Hd51u32suN3VUciyjkLOaWs5o7U5O8kbAKpN1gBQC/IGgGqTNQDUgryhVhS7AQCmu4suOvNS98UXl4vcPT3J+9+fzJ5dmdkAJuj1/cPpHyimb3t5x+2+gWIGDxzKn/7aNeNee+HCOWlsKBe536xve3HCxe7Hnh0Y97zmxoZctHDO4QJ3IV2Hd+Hu7ixk8dzWNDQ0jLsGAAAAAAAAAJyIYjcAwHS3fHly+eXJD47frfakGhqSa689UuZesaL8HEAVHRgeyYs796VvezF9A4Pp315M/0D5saN48KTXzG5pOuW6rc1NuWDBnLy4c99xr/UPFCc0W1dH4Zjj8+bNTldHIV2d5Z233yhxX7CgLS1NjRNaEwAAAAAAAAAmQ7EbmHHa2tpy1VVXHXMMMK3s25d86UtJb2/yr/5VMpEf3dPTM36xe9685MMfLpe5b7kl6eiozLxnIVkDJzcyWsrW3fvHCtt92wfTd/jjV3bvT+kEu2qfyvM7irnsvPG/DnZ3Fs6o2L36ssVZPK81XR2FLFtUSKHVt8vUn7wBoNpkDQC1IG8AqDZZA0AtyBtqxd9UAzNOS0tLli5dWu8xACbnpZeShx5K1q1Lvvzl5MCB8vM33ZTcfvv4169dWy6Bv9ny5eXX1q5Nrr8+mTWrsnOfpWQNZ7tSqZSdxYPl4vZAMX3bi+kfGEz/QDHP79iXg4dGK/ZefdsnVuzu6ijkK89sP+75F3YcX/Y+2fVv3rUb6k3eAFBtsgaAWpA3AFSbrAGgFuQNtaLYDQBQD6OjyVNPlXflXrcu+c53Tnxeb+/Eit3XXpssWJDs2VMucPf0lMvcb31r0tBQ2dmBs8a+g4fGdt7u3364xD1QTP/2wew5cKgmM0x0x+13XTg/N7ylI90dhXR3to8VtZfM9y/lAQAAAAAAAJgeFLsBAGpl795k/fpykfvhh5Nt28a/5uGHk5GRpKnp1Oc1N5dL4JdfXi54A0zQ8MhoXt61P/0Dg4d33i4/+rYX85M9B+o9Xvq2T6zY/ZF3Lc1H3uVfyAMAAAAAAAAwfSl2AwBUU3//kV25v/KVZHh4ctdv3548+WR5R+7xXHfdaY0InN3+4V9+Ow9979V6jzGmraWpvNt2ZyHdHYVcebF/rAIAAAAAAADA2UGxG5hxRkZGUiwe2dmxUCikabydbgEq5dCh5BvfOFLm/v73z3zN3t6JFbupGVnDVLXnwHD6D++6fcni9qxces641yzrmFODyY7V1NiQixbOKRe4Dz+6D5e5z507O42NDTWfCaYieQNAtckaAGpB3gBQbbIGgFqQN9SKYjcw4xSLxTzyyCNjx6tXr868efPqOBEw4x04kPzP/1kuYD/8cLJzZ2XW7ehIbrstufHGyqxHxcgappJ/96Uf52s/3p7+gWIGBg+OPf9bq5dPqNjd1dFetdnOndd6uLjdXi5uHy5vX7hgTmY1N1btfWGmkDcAVJusAaAW5A0A1SZrAKgFeUOtKHYDAJypQ4eSX/7l5ODB8c8dzzvekfT0JGvXJldfnfjXnXBWGh0t5dBoaULl5x9tG8xTz+867vn+geIJzj5eV0dh0vMdbW5rc7o7C2MF7q7O8u7byzoKaW/1LScAAAAAAAAATJS/ZQcAOFPt7eVdtT//+clf29pavnbt2vLu3BddVPn5gClrV/Fg+gaK6R8opm/7YPoPf9w/UMz/8ZEV+ejV439NOFkxu2/7xIrdyzvHL3bPamrMxYvmjO243f1GibujkI72WWloaJjQewEAAAAAAAAAJ6fYDcw4hUIhq1evPuYY4LTs2JE0NiYLFox/bk/PxIvd5513ZFfuD34w8XVq2pE1TMb+gyN5fkcxfduL6R8YHCty9w8Us3vf8Emv65vgjtvdJyl2P7+jmNHRUhobT126nj9nVhbMacnu/cNZck7bUbtvlx/dHe1ZuqAtTeOsA1SevAGg2mQNALUgbwCoNlkDQC3IG2pFsRuYcZqamjJv3rx6jwFMR6VS8v3vJ+vWJb29yRNPJP/qXyX/6B+Nf21PT/Lbv33y16+8slzk7ulJrriiXBhn2pI1vNmhkdG8snt/+rYXDxe3D+++vb2Yra8fOK01+ye44/bJduw+MDyaV/ccyNL5beOu8Te/9d6cO292Zrc0TWpGoLrkDQDVJmsAqAV5A0C1yRoAakHeUCuK3QDA2W1oKPnqV4+UuZ9//tjXe3snVuy++OLk7W9Pvve98nFbW3LTTeUi9223JUuWVHx0oLZKpVK2Dw4d3nm7/HhjF+4Xd+7L8Eipou830R27uzqPL3bPbmnMskWF7Nk/PKFi98WL/GtyAAAAAAAAAKg3xW4A4Ozz2mvJww+XS9tf/GIyOHjycx99NNm9O5k/f/x1f/VXkx//uFzmXr26XO4Gpp29B4bfVNw+8hgcOlSzOV7YUczIaClNjQ2nPG/e7Jb85geW5/xzZqe7sz1dHYWcN292Gse5DgAAAAAAAACYWhS7AYCZr1RKvvOdcpG7tzd58snycxNx6FC5/P3zPz/+ub/zO2c2J1BTew8M54nndhwpcR/+dfveoXqPliQZHinllV37c9GiOeOee9fNl9VgIgAAAAAAAACgmhS7gRlneHg427ZtGztevHhxWlpa6jgRUBf79ydf/vKRMvfLL5/+WuvWTazYzVlD1swMr+05kE/+l6frPUaSpL21OV0dhXR1FNLdefjXjvace05rvUcD6kjeAFBtsgaAWpA3AFSbrAGgFuQNtaLYDcw4+/fvz8aNG8eOV69eLUThbLF165Ei94YN5XJ3Jfzwh5VZhxlD1kwtu/cdLO+2vb284/bOfQfzf/3M28e97sKFc9LYkIxOcAP/M9XS1JCLFs5JV0d7ujsL6T5c5O7qLKSzvTUNDQ21GQSYNuQNANUmawCoBXkDQLXJGgBqQd5QK4rdAMDMsHZtudBdCY2NyXXXldfs6Ukuv7wy6wIV9fQLO/OJP92YXfuGj3vtn/W8LbNbmk55fWtzUy5YMCcv7txX0bmWnDM7XYd33T66xL10fluamxor+l4AAAAAAAAAwMyh2A0AzAznn39m159zTnLLLeUi9803J4sWVWYuYMJGRkt5Zdf+7CgO5YqLFox7/qJC6wlL3Uny/I5iLjtv3rhrdHUUTqvYfU5bS7oPl7e7jypwL1tUSNusUxfKAQAAAAAAAABOpKFUKtXoB49DfW3ZsiUrV64cO968eXNWrFhRx4kAqKi//dvkIx+Z3DVvfeuRXbnf+97Ej8iBqiuVShkYPJj+gWL6BwbTN1BM3/Zi+geKeXHHvhwcGc3iua158n9bM+5ah0ZGc9k//XwOjR7/Lc1//MVVueXt4/+Dj9/72y35k68/f8LXWpsbD++6feRR3n27PQsKs8ZdGwAAAAAAAACYXurdNbVjNwAw9YyMJE8+mfT2lnfO/kf/aPxr1qxJZs9ODhw4+TnNzckNN5TL3LfdVi52A1UxOHQozw8U0zdQTP/2IyXu/u3F7B06dMprt+0dyuDQobS3nvrbleamxly0aE76thePe61v4PjnTuQt57bnwoVt6e5oHytuv1HiXnJOWxobGya0DgAAAAAAAADAmVLsBgCmhj17ki9+MVm3Lnn44WRgoPx8d3fyO7+TNIxTrpwzJ7nxxvK1R1u4MLn11nKZ+0MfSubPr8r4cDY6eGg0L+3ad7i4XTy8+/Zg+geK2bZ36IzWfn6gmJVLzxn3vO6OwomL3Sd47kR+8d0X5xffffGk5wMAAAAAAAAAqDTFbgCgfp57rlzk7u1Nvva1ZHj4+HP6+pIf/jC5/PLx1+vpKRe7V6wof7x2bfKe9yRNTZWfHc4So6OlvLb3QPq3H959+6jy9ku79mdktFSV9+2baLG7sz35wbYkSWFWU7o6C+nqaM81XQuqMhcAAAAAAAAAQLUodgMAtXPoUPL1rx8pc//whxO7rrd3YsXuX/iF5Oabk66uM5sTzkKv7xtO38Dg4eL2kR24nx8oZv/wSM3n6ds+OKHzfv6qC7L60sXp7ixk8dzWNIy3uz8AAAAAAAAAwBSl2A3MOENDQ+nv7x877urqSmtrax0ngrPcrl3J5z9fLnN/7nPJ7t2TX6O3N/kn/2T88xYsKD+gymZC1vy3p1/OE3070n94F+6dxYP1HukYOwYnNs8li+fmksVVHgagTmZC3gAwtckaAGpB3gBQbbIGgFqQN9SKYjcw4wwNDeWZZ54ZO16yZIkQhVoqlZJnnjmyK/fjjycjZ7jb7+OPJzt3JgsXVmZGOEMzIWu++qPt+dvvbK3rDPNmN6e7sz3dHYV0dRTS1VlId0d7lnXMyZxZvlUBmAl5A8DUJmsAqAV5A0C1yRoAakHeUCvaEgBAZTz1VPLnf14ucz/3XGXWnD07+eAHk7Vrk2b/2QJH2zE4lP6BYvq2F9M3UEz/wGD6B4q5833L83NXXjDu9V0dhRpMmcxqbkzXoiPF7a6OQro7CunubM+COS1paGioyRwAAAAAAAAAAFOdhhQw4zQ2Nmbu3LnHHAM18IUvJH/0R2e+zpIlSU9Pucx9443JnDlnviZU2FTIml//04359ku7j3v+R6/tndD13Z2VK3Y3NCQXLGhLV8dRu28ffiyZ35amRuVtgNMxFfIGgJlN1gBQC/IGgGqTNQDUgryhVhS7gRmnvb09N954Y73HgLNPT0/yT//p6V179dXlIndPT/Kud5VbojCFVTJrhkdG89LOfekfKKZ/oJgPXNqZSxbPHfe67o7CCYvdfQPFCb3v6ezYvagwK92db5S228u7b3cWctHCOZnd0jTp9QA4Nd/bAFBtsgaAWpA3AFSbrAGgFuQNtaLYDQCc3IEDyQ9+kFxxxfjnvvOdyQUXJC+/PP65hUJy003lMvettybnnXfms8IUViqV8tqeofQNDJYL3NuLY0XuF3fuy6HR0ti5s1uaJlTsPlkxu3+Cxe5lJ7m+raVprLDd3VFIV+fhEveiQs6Z0zKhtQEAAAAAAAAAmDzFbgDgWD/5SfLQQ0lvb7J+ffm5HTuS1tZTX9fQUN5x+//9f0/8+sUXH9mV+/3vT2bPruzcMAW8vn/4cGF7MP3bi+kbOFLg3ndwZEJrTLSY3dV54mL2CzuKGRktpanx1Dvfz5vdko+8a0k621sPl7cL6e5oz7nzWtNg13wAAAAAAAAAgJpT7AaAs12plHz728m6deUy91NPHX/OV7+afOhD4691dLG7oSG59tojZe4VK8rPwTQ3dGgkL+7Yl+fGdt0eHCtvDwwePOP1J1zsPsmO28Mjpbyya38uWjRn3DX+6BcmsBs/AAAAAAAAAAA1odgNAGejffuSL3+5XOZ+6KHklVdOff66dRMrdt94Y/J3/k5yyy3lR0dHZeaFGhsdLWXr6/vHCtt9Y7tvD+aVXfszWqree0+22D13dnO6O9vT3VHedburo5D5hZbqDQgAAAAAAAAAQFUodgMzzv79+7N58+ax45UrV6atra2OE8EU8fLL5RL3unXJl76UHDgw8Wt7e5M//uPxd9xua0v+4i/ObE6okVKplF37htM/MJi+7UcK3P0DxTy/o5ihQ6N1mevFnfsyPDKalqbGU543Z1Zznv7f12RhYVYa7IYPMCP53gaAapM1ANSCvAGg2mQNALUgb6gVxW5gxhkeHs7WrVvHji+99FIhytlpdDTZuLFc5O7tTb797dNf6/nnk+9/P1mxolLTQd18f+ue/K//43vpHyjm9f3D9R5nTENDsuSctnR3FrJn/3AWtbeOe81EzgFg+vK9DQDVJmsAqAV5A0C1yRoAakHeUCuK3QAwk+zdm2zYUC5zP/RQsm1bZdZdsCB59lnFbqasQyOjGRg8mPPOmT3uuXNmNeXbL+2u/lAnsbAwK10dhbFHd0chXZ2FLFtUyOyWprrNBQAAAAAAAABAfSl2AzNOS0tLlixZcswxnBXWr096epKDByuz3mWXJWvXlte87rqk2X82MDW8+vr+fOWZ7enbPpj+gWL6Bop5cce+LCzMypP/25pxr79gQVuaGxtyaLRUtRlntzSmq6O9XNp+49FZLnHPnzOrau8LwMziexsAqk3WAFAL8gaAapM1ANSCvKFWNLSAGaetrS1XX311vceA2rviimR4+PSvb25O3v/+cpn7ttuSSy6p3GxQQT96bTC/+9+/d9zz2/YOZXDoUNpbT/2fuM1Njblo0Zz0bS+e0RxNjQ25cEHb4eJ2e7o6C1l+uMB97tzZaWxsOKP1AcD3NgBUm6wBoBbkDQDVJmsAqAV5Q60odgPATNHRkVx7bfL1r0/umltvLZe5b7opOeec6s0HRxk6NJKXdu7Lc9uL6R8opn97MbOaG/MvfnrluNd2dxRO+trzA8WsXDr+/467OwoTLnYvntuaro5CujsLYyXu7s5CLlwwJ7OaGye0BgAAAAAAAAAAjEexGwCmqh/9KOntLT/+7M+So36cy0n19Ixf7H7728tF7p6e5JprkqamyswLbzI6Wsqrew6kf3sxfQOD6XujxD1QzMu79mW0dOz5iwqzJlTsXjK/LbOaG3Pw0Ohxr/VNsNjd9aZyeHtr81HF7fJjeWd7lnUUxt0BHAAAAAAAAAAAKkFLBQCmiuHh5LHHjpS5f/SjI689/HDyiU+Mv8batcn/+r8e+9ysWcmNN5Zfu+225OKLKzs3Z71dxYPpO1zY7ts+OFbe7h8oZugE5euT2VE8mNf3DeecOS2nPK+psSHLFs3Jj14bPO61/gnuwn3r28/P8s72dHe2p6ujkI72WWloaJjwrAAAAAAAAAAAUGmK3QBQTzt2JJ/7XLnI/fnPJ6+/fuLz1q2bWLF7xYpycXtoqFziXrs2+eAHk/b2ys7NWWf/wZE8v+NIebvvqPL27n3DFXuf/h3FvGvO/HHP6+oonLDY3Tdw/HMncsVFC3LFRQsmOx4AAAAAAAAAAFSNYjcw4wwODubJJ58cO77mmmvSrtTKVFEqJT/4Qbmo3dubfP3ryegEdjTesCHZvz9pazv1eQ0N5V2/lyxJGhsrMzNnjUMjo3ll9/5yaXt7MX0Dh3ff3l7M1tcP1GSG/oHBvOvC+eOe9/al52Tb3qF0dRSy/PCu210dhSxbVKj+kJE1ANSGvAGg2mQNALUgbwCoNlkDQC3IG2pFsRuYcUZHR7N3795jjqGuhoaSr33tSJm7v3/ya+zbl3zlK8ktt4x/7gUXTH59zhqlUinbB4fSv/3IjtvPbS+mf2AwL+7cl+GRUl3n699enNB5v33jW/LbN76lytOcnKwBoBbkDQDVJmsAqAV5A0C1yRoAakHeUCuK3QBQDdu2JQ89VC5yf/GLyeDgma/Z2zuxYjecwt/51Dfyjb6d9R5jTGNDcsGCOenuLO+4fdWyhfUeCQAAAAAAAAAA6kKxG5hxWltbc+mllx5zDDUxOJj84R+WC9hPPpmUKrDzcUNDcs01ydq1yU//9Jmvx4xy8NBoXty5L/0DxVx+/txcsGDOuNecf05bDSY7Xkd7a7o7CmMF7q7DH1+4cE5am5vqMtOZkDUA1IK8AaDaZA0AtSBvAKg2WQNALcgbakWxG5hxWltbc9lll9V7DM5Gra3Jv/7Xye7dZ7ZOe3vy4Q8nPT3lHbrPPbci4zEz/Nv1P8p3Xt6d/oFiXtq5L6OH//3Av/zplfml91w87vXdHYWqzVaY1ZSuzkK6OtqPKXEv6yhk3uyWqr1vPcgaAGpB3gBQbbIGgFqQNwBUm6wBoBbkDbWi2A0AldLSktx8c/KXfzn5a5ctK+/KvXZt8r73lUvinFVKpVIaGhrGPe/xZwey8YVdxz3fP1Cc0Pt0dZ5Zsbu5sSEXLZqT7rFdt9vLv3YU0jm3dUL3AAAAAAAAAAAAHE+xGwBOZXQ0+da3ks7O5KKLxj+/p2dixe7GxuS668rnr12bXH55ohA74x0YHskLO/alf2Awz20vpn/gyOMPP/quvO+tneOu0d1ZOLNi9wR37D7/nNnpOlze7uooZPnhAvcFC9rS3NQ4oTUAAAAAAAAAAICJU+wGgDcrFpMvfSlZty556KHk1VeT//1/T/7Fvxj/2ptvLpe2R0ePf+2cc8qv9/Qkt9ySLFpU+dmpu5HRUrbu3p++gWL6tw+Wfx0opm97MVtf359S6cTX9Q8UJ1Ts7upoP+n1E7Fs0ZFi97zZzenubB/bfburs5DujvYs65iTObP8ZyIAAAAAAAAAANSSxg4AJMmLLya9veXHl7+cDA0d+3pv78SK3YsWJe99b/Loo+Xjt7ylvCN3T09y/fVJS0vlZ6fmSqVSdhQPHi5sHy5vH96B+4Ud+3Jw5ATF/nGc6Y7bL+7cl+GR0bSMs5t2obU5/+M3r8vFiwpZMKclDXaKBwAAAAAAAACAKUGxG5hx9uzZk0ceeWTsePXq1Zk3b14dJ2JKGhlJnnqqvCt3b2/y3e+e+vxvfzt5+eXkggvGX/u3fzv56Z8ul7nf+tZKTEudFIcOlcvbY8XtwbHjvQcOVfS9+iZY7O7uPL7Y3dCQLJk/OzsGD+a8c2aPu8YVFy2Y9HwcS9YAUAvyBoBqkzUA1IK8AaDaZA0AtSBvqBXFbgDOHnv2JOvXl8vcDz+cbN8+uet7e5O/9/fGP+/nf/705qMuhkdG89LOfek7vON238CRAvdre4bGX6BC+gcGJ3TeRQvn5I4rL0h3Z3u6OgpZ3lnIhQvnZHZLU5UnBAAAAAAAAAAAqkmxG4CZra/vyK7cX/1qMjx8+mtNtNjNlLT3wHC+9/Lrh4vbRx4v7tyXkdFSvcfLy7v2Z+jQSFqbT13Qnt3SlH91xztrNBUAAAAAAAAAAFArit3AjNPW1parrrrqmGPOIocOJU88caTM/YMfVGbdlpakuTkplZKGhsqsSU1968Xd+eXPPlnvMZIkzY0NuWjhnHR1FNLdWUhXR3n37Ub/25o2ZA0AtSBvAKg2WQNALcgbAKpN1gBQC/KGWlHsBmaclpaWLF26tN5jUC8f+EDy+OOVWWvx4uS225KenuSmm5K5cyuzLmfkwPBIXty5L33byztuj5ZK+a3Vl4x7XVdHoQbTHeu8ebPT1VFIV2ch3UeVuC9Y0JaWpsaaz0PlyBoAakHeAFBtsgaAWpA3AFSbrAGgFuQNtaLYDcDMcv31Z1bsfuc7k7Vry2Xuq69OGpVvp4ov/eC1/N66LXl51/6USkee72ifNaFi95L5bZnV3JiDh0YrOtfc2c3p7mxPd0fhqB24C1m2qJBCq//UAgAAAAAAAAAAJkbbCICZpacnueeeiZ/f2pp88IPlMvdttyUXXli92ThGqVTKzuLB7DlwaEK7abe1NOWlnfuPe35g8GBe3z+cc9paTnl9U2NDli2akx+9NjjpWWc1N2bZojnl3bc72o/afbuQhYVZaWhomPSaAAAAAAAAAAAAR1PsBmDqGhhIHn446e1Nzjsv+eM/Hv+a97wnWbgw2bnz5OcsWVIugPf0JDfemBTGLxVz+vYdPJT+gWL5sb3863MDxfRvH8yeA4fyrgvn529+673jrtPVefLfp/6BYt514fzx1+gonLTY3dCQLJ3fVt51+/Du212Hd+JeMr8tTY3K2wAAAAAAAAAAQPUodgMzzsjISIrF4thxoVBIU1NTHSdiwkqlZMuWZN26cpn7iSfKzyVJR0fyb/9tMt7vZXNzcsstyZ//+bHPX3VVeVfunp7kiivKLV4qZnhkNC/v2p/+gcH0HS5v9w8U07e9mJ/sOXDKa/u2D6ZUKo276/V582anraUp+4dHjnutf2BwgsXu9iwq7Dq883YhXZ1vlLjbc/GiOZnd4msFEyNrAKgFeQNAtckaAGpB3gBQbbIGgFqQN9SKYjcw4xSLxTzyyCNjx6tXr868efPqOBGndOBA8pWvlIvcvb3JCy+c+LyBgeTJJ5Nrrx1/zbVrk//xP5IPfahc5L711uT88ys69tmoVCpl296ho4rbg+Xy9kAxL+7Yl0OjpdNad8+BQ9lZPJhF7a2nPK+hoSFdHYV8/9U9x73Wv714giuO948/9Nb8/2657LTmhKPJGgBqQd4AUG2yBoBakDcAVJusAaAW5A21otgNQO395CfJQw+Vi9zr1yfFiZVy09s7sWL3T/908pGPJLNnn9GYZ6s9B4bTf7i83TdwVIl7ezHFg8fvll0J/QPFcYvdSdLVeaTY3dTYkIsWzklXRyEXLypM6H2amxrPaE4AAAAAAAAAAIBqUewGoPpKpeRb3zqyK/dTT53eOuvWJf/n/zn+ea3jF4TPdkOHRvLSzn157o3dt48qcg8MDtV8nr6BYq5atnDc8371umX5mXctTVdnIRctnJMWRW0AAAAAAAAAAGCGaCiVSqV6DwG1sGXLlqxcuXLsePPmzVmxYkUdJ6JaRkZGUjxqB+hCoZCmpqY6TnSW2rcv+dKXjpS5t26tzLrPP59cfHFl1jqLPPj0y9n8yuuHd98u5uVd+zI6hf4L4LdXX5J//OFL6z0GTJisAaAW5A0A1SZrAKgFeQNAtckaAGpB3pw96t01tWM3MOM0NTVl3rx59R7j7PW5zyX//t+XS90HDlRmze7uZO3apKcnOf/8yqx5lvnLJ1/Mxhd21XWGlqaGXLyokK6OQro7CunuLKSroz1dHYV0tM+q62wwWbIGgFqQNwBUm6wBoBbkDQDVJmsAqAV5Q60odgNQWX19yUMPndkajY3J9deXi9w9PclllyUNDZWZb5raf3Akz+8opm97Mf0Dg+k7vPP2XR++LNcuXzTu9V0dhZoVu5fOb0tXx+ECd+cbRe72LJk/O81NjTWZAQAAAAAAAAAAYLpR7Aagsnp6kt/+7clfN39+csst5etvvjlZuLDio01nH/i/H8lre4aOe/5Hr+2dWLG7s1DReRbMaTlc3m5Pd2d5B+6uzkIuXlhI2yw/ZgYAAAAAAAAAAGCyFLsBGN/zzydPP5383M+Nf+7FFydvf3vyve+Nf+5llx3Zlfu665KWljMedaorlUrZvndobMftNZefm865reNet2xR4YTF7r7tgxN63+6O9knPOrulMcsWFQ4Xt9vLRe7OQroWFbKgMGvS6wEAAAAAAAAAAHByit3AjDM8PJxt27aNHS9evDgtZ0FhuKJGRpJvfjNZty7p7U02b06ampKBgfLO2uPp6Tlxsbu5OXnf+5K1a8vnXHJJxUefKvYeGE7/4fJ23/bi2Mf9A8UMDh0aO++8j8/O6ssWj7ted2ch3+zfedzzfQPFCc3TfZIduxsbkgsXzjm8+3Yh3Z3t5d23Owo5b97sNDY2TGh9ONvIGgBqQd4AUG2yBoBakDcAVJusAaAW5A21otgNzDj79+/Pxo0bx45Xr14tRCfi9deTL3yhXOR++OFkx45jXx8ZST7/+eQXfmH8tXp6kj/4g/LHixYlt91Wfu5DH0rOOafys9fJwUOjeXHnscXtN3bi3r73+N21T6RvoJjVEzjvZDtu90+w2H3Rwjm5pmthujvKO3B3Hd6B+6KFczKruXFCawBHyBoAakHeAFBtsgaAWpA3AFSbrAGgFuQNtaLYDXA2e/bZI7tyf+1ryaFDpz6/t3dixe53vzv5Z/8s+fCHyx83NVVm3joYHS3lJ3sOHC5vD44Vt/sHinlp576Mls5s/b7tgxM6r6vjxDtuv7J7fw4Mj2R2y6k/x7NbmvLXd1476fkAAAAAAAAAAACoDcVugLPJ8HDy+OPlgnZvb/LMM5O7/nOfK5e/m8eJj6am5Pd///TnrIPd+w6mb6A4VuDuP/zx8zuKOTA8WrX3neiO212d5WJ3S1NDLlo4J10d7Yd33i6kdIblcgAAAAAAAAAAAOqvoVRSB+PssGXLlqxcuXLsePPmzVmxYkUdJ4Ia2bmzXMju7U0+//lk9+4zW+9rX0tuuKEio9XageGRPL+jmP7txeNK3Lv2DddlpvPPmZ0nfveD4553aGQ0r+zen6Xz29Lc1FiDyQAAAAAAAAAAAM4u9e6a2rEbYKYplZIf/jBZt65c5n788WS0QjtOX3FFsn9/Zdaqkaee35k/2vDj9A8U88ruqTX7OW0tOf+c2Tk0MjpuWbu5qTEXLyrUaDIAAAAAAAAAAABqTbEbYKb54heTm2+uzFptbcmaNUlPT3LbbcnSpZVZ9wyVSqXsOziSQuv4MTZ8aDSPPTtQg6lOrLW5MV0dhWMe3Z2FdHe0Z0FhVt3mAgAAAAAAAAAAYGpR7AaYaW64IZk9Ozlw4PSuv+CCcpG7pydZvTqZM6ey803S1t37s/GFXenbPpj+gWL5sb2Y5Yvb8ze/9d5xr+/qrP4u140NyQUL5hxT3C7/2p7z581OY2ND1WcAAAAAAAAAAABgelPs5qQ2bdqU++67Lxs3bkxfX192796d7u7udHd3584778ztt99e7xHh7FIqlX9tGKckPGdOcuONycMPT3zta65J1q4tl7nf+c7x36OGHv3x9tz937533PN92wdTKpXSMM6s586dnbaWpuwfHjnjWTraW9P9xs7bh8vbyzsLuXDhnLQ2N53x+gAAAAAAAAAAAJy9FLs5zqZNm/Ibv/Eb2bRpU+bPn5/f/d3fzapVq7Jw4cJs3LgxDzzwQO64444kyV133ZV77rmnzhPDsYaGhtLf3z923NXVldbW1jpOdAYOHEi+/OWkt7f8+MIXkssvH/+6tWtPXexub08+9KFykfvWW5Nzz63czCdQKpXy2p6h9G0fTN/hXbcXz23Nne9fPu61XR3tJ3x+z4FD2bVvOAsLs055fWNjQ7o6Cvn+q3smNGthVtPh0nb7WHG7q6OQZR2FzJvdMqE1gJlvRmUNAFOWvAGg2mQNALUgbwCoNlkDQC3IG2pFsZtjPPjgg6csba9atSqf/OQns2HDhtxxxx259957s2HDhnzpS1/K/Pnz6zAxHG9oaCjPPPPM2PGSJUumV4hu3Zo89FC5yL1hQ7Jv35HXensnVuy+7bbjn1u27Miu3O9/f1KFz8nr+4bTNzCY/sPl7b6BYvq3lz9+847ZK5fOm2Cxu3DS1/q2D2ZhYeH4a3QeW+xubmzIRYvmjO2+3d1ZLnF3dxTSObd13F3AAaZ91gAwLcgbAKpN1gBQC/IGgGqTNQDUgryhVhS7GXPvvffm7rvvTjL+Ttxr1qzJ008/nSuvvDKbNm3KlVdemeeee65Wo8LMMjqafOtb5dL2unXJ00+f/Nx165J/8k/GX/PCC5NVq5I5c8pF7p6e5G1vSypQWD4wPJIXduxL/8DgMcXt/oFidhQPTnid/u3FlEqlcUvUHe2zMre1OXuHDh33Wt9AMVctG7/Y/TPvWporLpyf5YcL3BcsaEtzU+OEZwUAAAAAAAAAAIBqU+wmSbJhw4axUveaNWtOWep+Q3d3dz71qU/ljjvuSF9fX+6444488MAD1R4VxtXY2Ji5c+ceczzlFIvJl75ULnP39iavvjqx6x5/PNm5M1k4fpk53/hG0tJyWuONjJaydff+w8XtwSO7bw8U88ru/SmVTmvZYxQPjmT73qEsnjf7lOc1NDSkq7OQ7778+nGv9Q8UJ/Rea9527mnNCHAy0yJrAJj25A0A1SZrAKgFeQNAtckaAGpB3lArDaVSJep5THfLly9PX19fkmT9+vVZs2ZNTa6tpS1btmTlypVjx5s3b86KFSvqOBFnnRdfTB56qLzr9pe/nAwNnd46f/7nycc+dsbjlEql7CgeLO+2vf2N4na5xP38jn05eGj0jN9jPH/5yffkPd2Lxj3vrge/k2+/tDtdHYV0H951u7ujkEsWt2f+nFlVnxMAAAAAAAAAAICZr95dUzt2k/vvv3+smN3d3T3pYvadd945ttv33XffnaeffrriM8K0NDqaPPnkkV25v/Odyqzb2zupYndx6FC5vH3U442duPccOFSZmU5T/0BxQsXue29/Zw2mAQAAAAAAAAAAgPpR7Cb33Xff2Mens9v27bffPlbs3rRpU/r6+tLd3V2x+WDaGRxM/v7fTx5+ONm2rTJrLliQ3Hpr0tOTfPjDE76s5989ms2v7KnMDBWyqDAr3Z2FdHUUcvGiOfUeBwAAAAAAAAAAAKYExe6zXF9fXzZt2jR2fOWVV056jTeXuO+7777cc889ZzwbTFuFQvKlL515qfttbysXuXt6kmuvTampKdv2DqVvezFvax3OOXNaxh9lVn2+zLe1NKWro5DuzkK6Owrp6iykq6M9XYsKE5obAAAAAAAAAAAAzjaK3We5Bx988Jjjq6666rTW6e7uTl9f39iait2c1RoaymXs//gfJ3ddS0vygQ+Ur73ttpS6u/OHG36c514aTP+3nkj/QDH7Do4kSf7Tx6/O6ssWj7tkd2ch3+zfeRo3Mb6mxoZctHBOucA9Vt4upLujPefOa01DQ0NV3hcAAAAAAAAAAABmIsXus9z69euPOX7z7tsTdXSxu6+vL7t37878+fPPdDw4Lfv378/mzZvHjleuXJm2trYzW3TXruQLX0guuyx517vGP3+ixe7OzuS228rn33RTMm/e2EsNSR58+uW8snv/cZf1DRSzegJjd3UUJnDWqZ07rzVdHeUdt5cfLm93dRRy4cI5aWlqPOP1AaajqmQNALyJvAGg2mQNALUgbwCoNlkDQC3IG2pFsfsst3HjxmOOT7eM/eZC+MaNG7NmzZrTHQvOyPDwcLZu3Tp2fOmll55eiD7zTNLbW348+mgyMpL89m8n/+7fjX/tjTemNGdOGvbtO+6lZ8/vzsKP/lwWfvRnk6uvTpqaTrpMV0fhhMXu/oHBCd1CV0f7hM6b29qc7rHSdvvYx8s6CmlvFRUAb1axrAGAU5A3AFSbrAGgFuQNANUmawCoBXlDrWjrncXe2Fn7DWeyw/abr12/fr1iN9PP8HC5wP1GmfvHPz7+nHXrkj/+46ShIUlSKpWya99w+gcG07e9mP6B4tivdy19Rz74429kqKklj1/8znz5kmvy5eVXZeu8xbn/716ZD604b9yRujoKeezZgeOe79tenNAtdXce2bF7VlNjLl40p1ze7iyku6OQ7s72dHUUsqgwKw2H7wkAAAAAAAAAAACoPcXus1hfX1/F1lq0aFHV1obJamlpyZIlS445PqmBgeRznysXuT//+WTPnlMv/sIL+YvPPpyNc5eOFbhf3z98wlP/36t/Ov/17Tfl8Yvfmf2zZh/zWv/AxIrZXR2FEz4/0esvWjgnf/KrV2d5Z3uWzG9LU6PyNkAlTCprAOA0yRsAqk3WAFAL8gaAapM1ANSCvKFWFLvPYkfv1l1pit3UU1tbW66++uoTv1gqJVu2HNmV+4knktHRSa3/8n/+6/z3a39+3POeunDlSV+baDH76B23j3bw0GiGDo2ktbnplNe3NDXmA5cuntB7ATBxp8waAKgQeQNAtckaAGpB3gBQbbIGgFqQN9SKYvdZ7M3l64ULF1Zs7WqWxmHShoaSr3wl6e1Nqbc3Dc8/f0bL3fjcU/kPEyh2n0rf9okVu9967tzc9vbz09VRSHdnIV0d5cf8ObPO6P0BAAAAAAAAAACAqUWx+yy2Y8eOiq01f/78Y47t2E297Xvx5ez4679J0+ceSsfXv5ZZB/YlSRrOcN1X5nZm87nL01AaTamh8bTX6Zvgjt1L5rfl3//iqtN+HwAAAAAAAAAAAGB6UOwGZqTiT/1MLvzOxjNeZzQN+faSt2bDJe/Ol5dfnR92LksaJl8PXzy3dWzX7e6O9nR1FFIqldJwGmsBAAAAAAAAAAAAM49i91ls9+7dxxy/edftme673/1u9u3blzlz5hz32oEDB3Lo0KEkSXNzc2bPnp0k6ezszOLFi5Mkg4ODGR0dTZK0tramtbX1uHX27Nkz9nFbW1taWlqOeX1kZCTF4pGdmwuFQpqamo45Z3h4OPv37x87njdv3nHvMzQ0lKGhoSRJY2Nj2tvbjztn//79GR4eTpK0tLSkra3tuHNm0j0d+NAtyWkWuwdnteVry67Ily55d77SfWV2FOZP6Lr21qZcvLAtFy9sy6XnL0hXZyHdHYUs6yikvbX5uHs6Uan7bPt9ck/uyT25J/fkntyTe3JP7sk9uSf35J7ck3tyT+7JPbkn9+Se3JN7ck/uyT25J/fkntyTe3JP7sk9uSf35J6myj0NDg4e93wtKXZz1vrYxz426Wv++T//5/m93/u9JMmTTz6ZvXv3JkkuvfTSXHbZZced/8gjj4x9fNVVV2Xp0qXHvF4sFo85Z/Xq1cd9Qdm2bVs2bjxSUP7IRz5y3Pv09/fnmWeeSZLMnTs3N95443HnbN68OVu3bk2SLFmyJFdfffVx58yUexocHMwzXRflwuOuOLkXzzk3X7rkmmy45N158sIVGW5qOeF5TQ2lXLxwTpafOy/dh3fg7upoT9uhPXluy3fS0DCUZHc+suaait7T0WbK75N7ck/uyT1N93tqbGxMoVBIklxzzTVj/8E/ne9pJv4+uSf35J7c03S+p8HBwTz++OM5cODAjLmnZOb9Prkn9+Se3NN0vqeVK1fmhRdeGDu+5pprMjo6Oq3vaSb+Prkn9+Se3NN0v6dvfOMbY38BP2vWrNxwww3H/eX5dLunmfj75J7ck3tyT9P5ngYHB/Pkk0+OndPW1pZt27ZN63t6s5nw++Se3JN7ck8z5Z7mzp2b5NiewHS/p5n4+3Qm93T0f1fUg2I3MOOMjo5m8LyOvHLO4ix9fdsJzxlpaMzGpZfny5dcnQ3L353nFl2QHLWD9tL5benqKKSro5Dz25uy5+Ufp7OtlAWtyZobrzouGF55ZX/6jt+AG4AZbHR0dOybjzf+dSkAVNLo6OgxpW4AqLRSqTT2fU3iexsAqqNUKo19fPDgQXkDQMUd/Xc2ScZ+KjsAVIOeANWm2M2Y3bt313sEqJiGxoZ847Jr8nPf7B17bk9rIV/pvjJfWn51vtJ9VRoXLUxXRyGL9u/MZbNHs7gt+cCVb8s1l3elbdaRH9WwZ8+ePFL8UT1uAwAAAAAAAAAAADhLNJSO/ifSnFXuvPPO3H///WPH3d3dee65505rrfvvvz933nnnMc9Ntf9pbdmyJStXrhw7/ou/+ItccsklmTNnznHnHjhwIIcOHUqSNDc3j/1rzs7OzixevDhJ+Udiv/GvblpbW9Pa2nrcOnv27Bn7uK2tLS0tLce8PjIyMvaj55KkUCikqanpmHOGh4ezf//+seM37xSdJENDQxkaGkqSNDY2Hvfj65Jk//79GR4eTpK0tLSkra3tuHNmyj0NDQ2lv78/D/3HdfmZP/vjPP32a/P8ez6Q0rXXpfuCjnR1FNLdUciCwqxpc09Hmym/T+7JPbkn9zSd7+ngwYPZunVrZs0qZ0lXV9fYXNP1npKZ9/vkntyTe3JP0/2ehoaG8uyzz459f7p06dJ0dHRM63tKZt7vk3tyT+7JPU3ne2psbMzLL788dtzV1ZXm5uZpfU8z8ffJPbkn9+Sepvs97dy5My+99FKSpKmpKW95y1uOu6/pdk8z8ffJPbkn9+SepvM9vdEReMN5552XxsbGaX1PbzYTfp/ck3tyT+5put/TwYMH88orr4y9z9E9gel6T2+YSb9Plbin7373u3nPe94z9tzmzZuzYsWK486tFsXus9jdd9+de++9d+z4TIrd9957b+6+++5jnptq/9N6c7G71v9no/YGDwxnzqzmNDY21HsUAAAAAAAAAAAAYIqrd9e0uWbvxJSzaNGiqq3d3d1dtbVhotpnt4x/EgAAAAAAAAAAAMAU0FjvAaif+fPnT8u1AQAAAAAAAAAAAGCmUew+i715V+2dO3ee9lrPPffcMccLFy487bUAAAAAAAAAAAAA4Gyj2H0We3Oxe/fu3ae91ptL4atWrTrttQAAAAAAAAAAAADgbNNc7wGonzcXu89EX1/fMcdXX311xdaGydqzZ08eeeSRsePVq1dn3rx5dZwIgJlG1gBQC/IGgGqTNQDUgrwBoNpkDQC1IG+oFTt2n+XevLP2mwvaE/Xm3b7t2A0AAAAAAAAAAAAAE6fYfZZbs2bNMcenW+w++rr58+dXdDdwAAAAAAAAAAAAAJjpmus9APX10Y9+NPfee+/Y8aZNm44re4/nzbt1f/KTn6zEaHDa2tractVVVx1zDACVJGsAqAV5A0C1yRoAakHeAFBtsgaAWpA31Ipi91lu1apVWbVqVTZt2pQkWb9+fe66665JrbFhw4Zjjj/60Y9WbD44HS0tLVm6dGm9xwBgBpM1ANSCvAGg2mQNALUgbwCoNlkDQC3IG2qlsd4DUH933nnn2McbN26c9PXr168f+7i7uzurVq2qyFwAAAAAAAAAAAAAcLZQ7Caf/OQnM3/+/CTJ7t278+CDD07q+vvvv3/s4/vuu6+SowEAAAAAAAAAAADAWUGxmyTJpz71qbGP77777glfd++99459fPvtt2fNmjUVnQsAAAAAAAAAAAAAzgaK3SQpl7LvuuuuJElfX9+Eyt2bNm0aO2/VqlV54IEHqjojTNTIyEj27Nkz9hgZGan3SADMMLIGgFqQNwBUm6wBoBbkDQDVJmsAqAV5Q60013sApo577rknixYtyt133z22E/c999xzwnM3bdqUD37wg0nKpe6nn366ZnPCeIrFYh555JGx49WrV2fevHl1nAiAmUbWAFAL8gaAapM1ANSCvAGg2mQNALUgb6gVO3ZzjLvuuitPP/10uru7c++992b58uW59957s2HDhmzatCkPPvhg7rjjjlx55ZVJysVvpW4AAAAAAAAAAAAAODN27OY4q1atynPPPZdNmzblvvvuy1/91V/lD/7gD7J79+7Mnz8/V111Ve65557cdddd9R4VAAAAAAAAAAAAAGaEhlKpVKr3EFALW7ZsycqVK8eON2/enBUrVtRxIqplZGQkxWJx7LhQKKSpqamOEwEw08gaAGpB3gBQbbIGgFqQNwBUm6wBoBbkzdmj3l1TO3YDM05TU1PmzZtX7zEAmMFkDQC1IG8AqDZZA0AtyBsAqk3WAFAL8oZaaaz3AAAAAAAAAAAAAAAAZzvFbgAAAAAAAAAAAACAOlPsBgAAAAAAAAAAAACos+Z6DwBQacPDw9m2bdvY8eLFi9PS0lLHiQCYaWQNALUgbwCoNlkDQC3IGwCqTdYAUAvyhlpR7AZmnP3792fjxo1jx6tXrxaiAFSUrAGgFuQNANUmawCoBXkDQLXJGgBqQd5QK431HgAAAAAAAAAAAAAA4Gyn2A0AAAAAAAAAAAAAUGcNpVKpVO8hoBa2bNmSlStXjh1v3rw5K1asqONEAAAAAAAAAAAAAEwV9e6a2rEbAAAAAAAAAAAAAKDOFLsBAAAAAAAAAAAAAOpMsRsAAAAAAAAAAAAAoM4UuwEAAAAAAAAAAAAA6qy53gMAVNrQ0FD6+/vHjru6utLa2lrHiQCYaWQNALUgbwCoNlkDQC3IGwCqTdYAUAvyhlpR7AZmnKGhoTzzzDNjx0uWLBGiAFSUrAGgFuQNANUmawCoBXkDQLXJGgBqQd5QK431HgAAAAAAAAAAAAAA4Gxnx25gxmlsbMzcuXOPOQaASpI1ANSCvAGg2mQNALUgbwCoNlkDQC3IG2qloVQqleo9BNTCli1bsnLlyrHjzZs3Z8WKFXWcCAAAAAAAAAAAAICpot5dU/9kAAAAAAAAAAAAAACgzprrPQBApW3bti3/4T/8h7Hj3/zN38zixYvrOBEAM42sAaAW5A0A1SZrAKgFeQNAtckaAGpB3lArDaVSqVTvIaAW6r09PrXj9xqAapM1ANSCvAGg2mQNALUgbwCoNlkDQC3Im7NHvX+vG2v2TgAAAAAAAAAAAAAAnJBiNzDjHDhw4JTHAHCmZA0AtSBvAKg2WQNALcgbAKpN1gBQC/KGWlHsBmacQ4cOnfIYAM6UrAGgFuQNANUmawCoBXkDQLXJGgBqQd5QK4rdAAAAAAAAAAAAAAB1ptgNzDjNzc2nPAaAMyVrAKgFeQNAtckaAGpB3gBQbbIGgFqQN9SKYjcw48yePfuUxwBwpmQNALUgbwCoNlkDQC3IGwCqTdYAUAvyhlpR7AYAAAAAAAAAAAAAqDPFbgAAAAAAAAAAAACAOlPsBgAAAAAAAAAAAACoM8VuAAAAAAAAAAAAAIA6U+wGZpx9+/ad8hgAzpSsAaAW5A0A1SZrAKgFeQNAtckaAGpB3lArzfUeAGplaGjomONnn322TpNQbW/+vX322WczZ86cOk0DwEwkawCoBXkDQLXJGgBqQd4AUG2yBoBakDdnjzf/Xr+5e1ptDaVSqVTTd4Q6+Z//83/mp3/6p+s9BgAAAAAAAAAAAADTwN/8zd/kIx/5SM3er7Fm7wQAAAAAAAAAAAAAwAkpdgMAAAAAAAAAAAAA1FlDqVQq1XsIqIXdu3fnq1/96tjxhRdemNbW1jpOBAAAAAAAAAAAAMBUMTQ0lJdeemns+P3vf3/mz59fs/dX7AYAAAAAAAAAAAAAqLPGeg8AAAAAAAAAAAAAAHC2U+wGAAAAAAAAAAAAAKgzxW4AAAAAAAAAAAAAgDpT7AYAAAAAAAAAAAAAqDPFbgAAAAAAAAAAAACAOlPsBgAAAAAAAAAAAACoM8VuAAAAAAAAAAAAAIA6U+wGAAAAAAAAAAAAAKgzxW4AAAAAAAAAAAAAgDpT7AYAAAAAAAAAAAAAqDPFbgAAAAAAAAAAAACAOlPsBgAAAAAAAAAAAACoM8VuAAAAAAAAAAAAAIA6U+wGAAAAAAAAAAAAAKgzxW4AAAAAAAAAAAAAgDpT7AYAAAAAAAAAAAAAqDPFbgAAAAAAAAAAAACAOlPsBgAAAAAAAAAAAACoM8VuAAAAAAAAAAAAAIA6U+wGAAAAAAAAAAAAAKgzxW4AAAAAAAAAAAAAgDpT7AYAAAAAAAAAAAAAqDPFbgAAAAAAAAAAAACAOlPsBgAAAAAAAAAAAACoM8VuAAAAAAAAAAAAAIA6U+wGAAAAAAAAAAAAAKgzxW4AAAAAAAAAAAAAgDpT7AYAAAAAAAAAAAAAqDPFbgAAAAAAAAAAAACAOlPsBgAAAAAAAAAAzmp9fX1paGjI/fffX+9RAJihZA0TodgNTDm7d+/O8uXLc+edd9Z7lBPatGlT7rzzzlx55ZVZsGBBGhoasnz58tx000158MEHp/37AcxE0+1r6YYNG46bd8GCBbnpppty//33Z/fu3ae99u7du7NgwYLcfffd6evrm9S1fX19ufvuu7NgwYJs2rTptGcAmKnkzalNt88PwFQ03b6WPvjgg7nzzjuzfPnyY7LmyiuvzN13331G31f43gageuTNqU23zw/AVDRVv5a+8b3FnXfemTvvvDP3339/NmzYkE2bNqWvr2/ssXv37tN6nIjvbQCqQ9ac2lT9/FDWUCqVSvUeAuANmzZtyh133JG+vr6sWbMm69evr/dIYzZt2pTf+I3fyKZNmzJ//vz87u/+blatWpWFCxdm48aNeeCBB7Jhw4YkyV133ZV77rlnWr0fwEw03b6WvlGwe+ObuTVr1mTVqlVZtGhRnnrqqWzYsGHsm7F77rknd91116Tfo6+vL8uXLx877u7uzu23356rr7567HMzf/78sXP7+vqyfv36sW8mk2TVqlV5+umnz+xmAWYQeXNq0+3zAzAVTbevpQ8++GB+4zd+I7t37053d3dWrVqV7u7uLFq0KDt27Dju+4tPfepTWbVq1aTew/c2AJUnb05tun1+AKaiqf619N57783dd99dlbU/+clP5r777jvued/bAFSWrDk+a4421T8/HFYCmAKee+650ic/+clSkrHHmjVr6j3WmAceeGBsrrvuuuuk561fv740f/78UpLSqlWrSrt27ZoW7wcwE023r6W333772Ly33377See46667zigrn3vuuWPydrKP7u5ueQNwFHlzatPt8wMwFU23r6VvZM2aNWtKTz/99EnPe+6550pr1qwZu7d77rlnUu/jexuAypI3pzbdPj8AU9F0+Fr65s5CJR/33XffCd/T9zYAlSNrTpw1b5gOnx/KFLuBunjuuedK69evL91zzz2l7u7uE4bNVCl233PPPRMKtTc899xzY+HW3d095d8PYCaabl9LV61aNTbvJz/5yXHPv++++047L8/kDwinSjYDTBXy5tSm2+cHYCqabl9L3yjZjfeXSEc7+i+UJlO2870NQOXIm1Obbp8fgKlounwtPfrPzyr5ONX3IL63AagMWXPqTJgunx/KFLuBmjp6V4SjH7fffvsxO8JNlW9C1q9ff1rzHP0HhLfffvuUfT+AmWi6fS09eufUVatWndZ11S4/zJ8/v/TAAw+czu0BzFjy5tSm2+cHYCqabl9L3/jLodPZCfXoPxc81a6rR/O9DUBlyJtTm26fH4CpaDp9LX2jwFbJx/z580+506nvbQDOnKw5ddZMp88PZYrdQE3dc889pdtvv730yU9+snTPPfcc8wdnR4fIZIOkWo7eTXz9+vVVv7bW7wcwE02nr6VH/6vYyb7nm/+g77nnnpvUdatWrRr3XwOvWbPGHwwCnIS8ObXp9PkBmKqm09fSXbt2jX2fcbre+P5komv43gagMuTNqU2nzw/AVDVdvpYenTNPP/30KQtyE/HGPyga73sR39sAnDlZc+psmC6fH45oDEAN3XXXXXnggQdy33335a677sqqVavqPdJJ3X///enr60uSdHd3Z82aNZO6/s477xz7+O67755y7wcwE023r6V/8Ad/MPbxZOft7u4+JkcnO++dd96Zp59+OqVSKU8//XTWr1+fBx54IOvXrx97fv369bn99tsntS7A2UDenNp0+/wATEXT7Wvp/fffnyT56Ec/etpr3HPPPUmSTZs2jd37RPjeBuD0yZtT5810+/wATEXT6WvpG3Pec889WbVqVebPn3/aa23atCn33ntvbr/99gl/L+J7G4DTI2tOnTXT6fPDEYrdACdx3333jX082VBLckxoTuQPCGv9fgAz0XT6Wnrvvfdm9+7dY8enM+/R1zz44IPHrDcZq1atypo1a3L77bdnzZo1U/ofXgFMBfJm98lPzvT6/ABMVdPta+lf/dVfJSn/5dDpOvo+N23adFpr+N4GYHLkzanzZrp9fgCmoun0tXTjxo1JTm/ON7vjjjsyf/78fOpTnzqt631vAzBxsubUWTOdPj8codgNcAJ9fX3H/IHelVdeOek13vwHi0cHZb3fD2Ammm5fS9+89k033TTpNd58zV//9V+f0UwAjE/enDpvptvnB2Aqmo5fS9+Y96mnnqrIejt37qzIOgCcnLw5dd5Mx88PwFQz3b6WPvfccxUpUN95553p6+vLAw88cEY7sQIwPllz6qyZbp8fjlDsBjiBBx988Jjjq6666rTWOTrc3rxmPd8PYCaaTl9L+/r6jvuXrKfzh3u+iQKoPXlz6ryZTp8fgKlqOn8t3bBhw2lfe/RPhFi4cGEFpuH/394dH6eNfX8DPvnOrwDZW8HKHWBvBcEdwKYCQwcwqSCDO4BUsAsdQCrYQAdWKlisDnj/yAsLBGOwsYXgeWYyAzaSjq8z98w1H10AttFvtvebMo8PwLEo21yaZdmLa5wbjUbR6/Wi0WgcZDdWALbTa7b3mrKND/8R7AbYYDgcrjx/6cf6LR+XZdmTH1n+3tcDOEVlmks3vfn0kuDC+s/40o8rB2B3+s32flOm8QE4VmWeSyeTyYvf3Jl/FG3Ey39mAHan32z/mcs8PgDHomxz6eXl5Ys+7W4uz/Oo1+uRpqmNeADeiV6zXdnGh/8IdgNssPyHvYiX7WoX8WtDXD9vUdcDOEVlmkvfcqEj3A3wtvSbn57qN2UaH4BjVca5dPla9Xr9ReuS+RtNaZoe5CNpAdhOv9neb8o4PgDHpmxzabfbjVqt9uLj7+7uIs/z6Pf7B6wKgG30mu3KNj78R7AbYM36nUUvbWqbjl2/E6qI6wGcorLNpQ8PD89ed1frx1lEAbwd/eY/m/pN2cYH4BiVdS5df0Pq+vo67u/vdz4+y7LF6+1sB/D29Jvt/aas4wNwTM5tLh0MBjEYDKLVarlRFeCd6DXbndv4nBrBboA1WZYd7Fy//fbbs+d+7+sBnKJznksvLy9Xno/H44IqATh9+s1/NvWbcx4fgEMp61zabDZ/+Vq73Y7r6+udrjs/vtFoRLVaPXh9AKzSb7b3m7KOD8AxOae5NM/zuLu7i0qlEp1Op+hyAM6GXrPdOY3PKRLsBljzlh9Xvqmxvff1AE5R2ebS19wNu246na48f8mO3XmeR6/Xi9vb27i6uooPHz7ExcVFXF9fR7vd1k8A/j/95j+b+k3ZxgfgGJV1Lk3TNFqt1i9fn0wmcXV1tXU31Xq9HqPRKCqVyqt367a2AdiNfrO935R1fACOyTnNpXd3d5HnefT7/YOd09oG4Hl6zXbnND6nSLAbYM1681nfme41NjXN974ewCkq21x6dXV1sOusH7fvee7v7+Pi4iLa7fbiDt/xeBxfv36Nm5ubuL+/j6urq6jX6/oKcPb0m+3nKdv4AByjMs+lnU7nyY+B3bSbap7ncXt7G4PBIGq12qs/fcjaBmB3+s12ZR4fgGNxLnPpaDSKwWAQrVYr0jQ9yDmtbQB2o9dsdy7jc6r+r+gCAI7Nv//+e7Bzre+Qt+mOpfe+HsApKttcenNzc5DzbFowre+ouu3Y+Rtd/X4/arXayvcrlUrUarVoNpvx8ePHGAwGMRqNYjweH+yPkwBlo9/8Z1O/Kdv4AByjss+l3759W+yIum6+m2qn04k0TePu7i4iIrrdbjQajRdf09oGYH/6zXZlHx+AY3Auc2mz2YyInzcevZa1DcB+9JrtzmV8TpUduwEA4J1VKpVfFj+7BrKXbVow7Xp3bLvdjjzP48ePH7/8cXBZpVKJb9++Lc69vusRAMfrGPoNAOclSZIYDodb32hqt9tRr9fj5uYmfvz48apQ9/x81jYA56WIfgMA63q9XmRZdrAeY20DwLpD9xrKQ7AbYM16QGE9CFH26wGcojLOpX/++efK88lksvc5Nu1KtKv5G2C7jFWlUlksFucfXwtwjvSb7co4PgDH5lTm0lar9eyucaPRKHq93quvZW0DsD/9ZrtTGR+AIp3DXNputyPiv51UX8vaBmA/es125zA+p0ywGwAACjBfhM39888/e5+j2+3ufczl5WWkaRrfvn3b66P5lndAyrIs7u/v9742AO+vqH4DAGmaRqVS2fqadrsdV1dXL7rxyNoGgIi37zcAsMn9/X3keR5Jkjzbh55jbQPAJofsNZSPYDcAABQgTdOVj0waDAZ7HT+ZTGI6ne69iEuSJB4eHl503PIx60FBAI5TUf0GgPN2f38fFxcXMRqNotvtxnA4fDKgkGVZXF9f792jrG0AeI9+AwCbfPnyJSIiqtXqq89lbQPAJofsNZSPYDfAM9Y/muLUrgdwisoyl3a73ZU3m/bZTeHLly/x+fPnuLy8XPn6W36E0vqi0e4PwLnTb7Yry/gAHLOyzaV5nsf19XW02+2o1Wrx48ePaDQaUa1W4+HhYeVmo3X1ev3dggjWNgCr9JvnrwfA65zSXDoYDBY/z6dPnwqtxdoG4D96zXanND7nQLAbAAAKNBwOF+G4dru900fC9nq9mEwm0Wq1YjqdrnxvPXh3SFdXVyvP//rrrze7FgCHVaZ+A0A5ZVkWv//+e0wmk2g0GtHv93+5Eajb7cZ4PH5yN9X7+/toNptvXqu1DUB5lanfAHCa5juoRhS/i6q1DcBpOqZeQzEEu6HErq+v48OHD4X/u7q6Oqm7eg650+ku4/Le1wPYR1l6TZnn0jRNV95o+vjxY4xGoydf3+v1ot1ux3A4jIhf633qDatD1bpsMpnoPcBB6Ddv7z36TZnHBzh9es3byrIsrq+vI8/zaDQa0e12n3xtpVKJh4eHaLVaG7/f6/ViMBi8VakRYW0DvB395m29V78p6/gA50GvKVaWZYsNE5IkedNPUd2FtQ3wFvSaYh2q15zq+JwLwW4oqTzPd9ph7T1kWfbL7m1l9ttvv73ZuTeFH977egC7KlOvKftcmqbp4o2mPM/j9vY26vX6YqfUyWQSvV4vrq6uftlxaH1c3rLeTbuzfv/+/c2uB5wH/eanU+g3ZR8f4HTpNT+95Vxar9cjz/NI03RryG5Zp9N5cjfVu7u7Q5e4wtoGeAv6zU+n0G/KOj7A6dNrfipyLl2+KegY5nRrG+DQ9JqfTqHXnOr4nIv/K7oA4GWSJImHh4fIsqzQu2KSJIk0TU9qwn7Lu2o3nfu9rwewqzL1mlOZSzudTnz+/Dl6vV4Mh8Not9uR53kkSRI3NzfRbrej0WisHLP+u7m+vn63eiN+LqgBXkO/eftzr3urfnMq4wOcHr3mbc99f3+/eMOv0+nsdex8N9Vmsxm9Xm/x9TzPo9fr/dKP3pK1DfBa+s3bnvs9+00Zxwc4D3rN25/7Ocs3Fh1rRsLaBngNvebtz/2cQ/WaUx2fcyHYDSV2aoHqY7E+pq/Zjfzh4WHl+aY7Zt/7egD7KEuvOaW5NEmSaLVaT35M7HOq1erW78+Dey+x6TgfuwQcgn5zGv3mlMYHOD16zdvNpV++fImIn6G5Wq32onN0u91IkiTu7+8XXxsOh1uD3dY2wDHSb06j35RxfIDzodcUN5dmWbYSmv7jjz8Ocl5rG+DY6DWn0WtOcXzOyf+KLgDg2Kw3ttcsfNabYqVSKfx6AKfoXOfS9Y/Bmt+5vMloNIqLi4u4uLiIq6urg+3Y8O+//x7kPABloN/89FS/OdfxATikss2lo9FoUWOz2XzVuTqdzkqNo9HoyWta2wC8jn6zvd+UbXwAjtEpzqXrPeO1oUdrG4DX0Wu2O8XxOSeC3QBrDnnX2fria9OdVO99PYBTdK5z6ffv31eeb9utu16vLxZrWZa9+k2wud9+++0g5wEoA/3mp6f6zbmOD8AhlW0uXb755+bm5tXn+/r16+LxU282WdsAvJ5+s73flG18AI7RKc6lw+Fw5flLd9mes7YBeB29ZrtTHJ9zItgNsMH6nUUvvTt2/Q+CT92x9N7XAzhF5ziXjsfjleefP3/e+Lo8z3/5udZDert46ze6AMpAv3m630Sc5/gAHFqZ5tLlj2E9xNqgUqlsfcPK2gbgcPSb5NnXLDvm8QE4Vqc2l67vonp5efnic1nbAByGXrPdqY3PORHsBthgfQe6lza25eOe+rjyIq4HcIrOcS79+++/F4/TNN1rAfWS3Y02jalFG3Bu9Jvt/eYcxwfg0M59Lp2vVXat19oG4GX0m+395tzHB+AQTmku3RTEPjRrG4D96TXbndL4nBvBboANPn36tPJ8+WP+drXebBuNxtFcD+AUlXEunX+0Xr1ej8FgsNexo9Fopd52u/3ka9d3IKpWq9Hv9/e6XsSvC700TS3agLOj3zzdbyLKOT4Ax6ZMc+nV1dXi8UvfGHrKprWGtQ3A4eg3Pz01/5dpfACO1SnNpZt2037u0x+2sbYBOAy9ZrtTGp9zI9gNsEGlUlm5k3U4HO59jvWPx1hvlkVeD+AUlXEuvb6+jl6vF4PBIOr1+i/X36bb7S4eVyqVZxdQ1Wo1KpVKzGazGA6HL1oEro9ps9nc+xwAZaffbO83ZRwfgGNTprl0edefffrLNvM3ser1+pPXtLYBeD39Znu/KdP4AByrU5pLNwXhLi8vX3VOaxuA19Nrtjul8Tk3gt3AyZtMJtFut+P+/n6vj6xYXvRsuivqOcvN8LmPKy/iegCnqKi59CW9ZjKZ/PLaXRdSWZat7Lj69evXZ49pNpsxmUxedBduxM87cZcXbUmSRKvVetG5AMpOv9nO2gbg9crSayqVymI3uOWbgV5q3reSJIk///xz42usbQAOR795ut9EWNsAHEJZes1z/v3331efY521DcBh6DXbWdeU1AzgSAyHw1lELP5Vq9VXn7Pf76+cM0mS2ePj487HJ0myOLbf7+917eXrDofDo7wewCl677n0pb3m4eFh5bh96q1UKotjWq3WTsfMZrNZmqYv7q+tVmul1m63+6LzAJwK/WY7axuA1ytLr+l2u4tjOp3OXnWum/ee59Yb1jYAh6PfbGdtA/B6Zek12zQajV/+xnYI1jYAh6HXbGddUz6C3cDRWG96aZq++pxpmv7S9PYJJCzXtE89nU5ncVytVjva6wGcoveeS1/Ta5aPaTQaOx2z/Ie6fef8+U1Uu15rbjwev6hWgFOm32xnbQPwemXqNdVq9cVvDs3Ne88uoQZrG4DD0W+2s7YBeL0y9Zqn1Gq1NwnbWdsAHIZes511TfkIdgNH4fHxcWPTe+kf5uaW7zh66aJmOdCwSxNeXkRVKpW9a37v6wGcovecS1/Ta+Z17npn6/LP9dIdHOaLr11rfHh4WPkZD/GJGgCnQr/Z/TzWNgAvU5ZeM5utftLDPjupPj4+Lt642qdmaxuAw9FvtrO2AXi9MvWaTZZvLjp02M7aBuAw9JrtrGvKRbAbeFfD4XBWq9VmtVptVq1WZ9VqdWOge/lfkiSzSqUyq1ari2N3vctp/eOH9gkzLFu+A2nbtcfj8aJ5v6apvff1AE7Re82lr+018wVap9N58uOZxuPxyptWr73bdz42SZI8+dF8j4+PK2N4iOsCnCL9ZjtrG4DXK0uvmc1WPzK2UqlsPf7x8XHl9S9588vaBuBw9JvtrG0AXq9MvWbd8t/M3iJsZ20DcBh6zXbWNeUh2A28q+WPdkiS5EX/9m0ajUZjliTJLE3TJxdBuxiPx4sQepqms06nMxsOh7PxeDzr9/uLnR6SJNlrl4hjuR7AKXqvufQ1vWb9zaVKpTKr1WqzRqMxq9VqKzdAVSqV2Xg8fnGdy5bHZj4+8+uu3w1crVYPdl2AU6TfbGdtA/B6Zeg1c8PhcOOaotFoPNl3XvPGl7UNwOHoN9tZ2wC8Xpl6zbL1AN9bhNysbQAOQ6/ZzrqmHD7MZrNZALCzyWQS3W43vn//HlmWRZ7nkSRJ3NzcxO3tbbRarVJfD+AUlWEuzbIsut1uTCaTyLIssiyLJEkiTdO4ubmJZrMZlUrl4NcdjUbR7/djNBrFdDqNPM8jTdNIkiQ+ffoUtVot0jQ9+HUBTpF+s10Zxgfg2JVpLs2yLAaDQQyHw0XPiYhF36lWq/Hp06eD9R1rG4DD0W+2K9P4AByrMs6l9Xo9RqNRpGka/X7/zdYX1jYAh6HXbFfG8Tkngt0AAAAAAAAAAAAAAAX7X9EFAAAAAAAAAAAAAACcO8FuAAAAAAAAAAAAAICCCXYDAAAAAAAAAAAAABRMsBsAAAAAAAAAAAAAoGCC3QAAAAAAAAAAAAAABRPsBgAAAAAAAAAAAAAomGA3AAAAAAAAAAAAAEDBBLsBAAAAAAAAAAAAAAom2A0AAAAAAAAAAAAAUDDBbgAAAAAAAAAAAACAggl2AwAAAAAAAAAAAAAUTLAbAAAAAAAAAAAAAKBggt0AAAAAAAAAAAAAAAUT7AYAAAAAAAAAAAAAKJhgNwAAAAAAAAAAAABAwQS7AQAAAAAAAAAAAAAKJtgNAAAAAAAAAAAAAFAwwW4AAAAAAAAAAAAAgIIJdgMAAAAAAAAAAAAAFEywGwAAAAAAAAAAAACgYILdAAAAAAAAAAAAAAAFE+wGAAAAAAAAAAAAACiYYDcAAAAAAAAAAAAAQMEEuwEAAAAAAAAAAAAACibYDQAAAAAAAAAAAABQMMFuAAAAAAAAAAAAAICCCXYDAAAAAMCRyfO86BJY43cCAAAAALw1wW4AAAAAADgi9Xo96vV60WWw5u7uLm5vbwW8AQAAAIA382E2m82KLgIAAAAAAM5dnudxfX0dERHj8TiSJCm2IFb4/QAAAAAAb02wGwAAAAAACjYPDU+n0xiPx5GmadElsUGe5/H7779HRMSPHz+EuwEAAACAg/pf0QUAAAAAAMC5+/jxY2RZFt++fRPqPmJJksS3b98WQfw8z4suCQAAAAA4IYLdAAAAAABQoGazGZPJJDqdTlQqlaLL4RmVSiW63W5kWRb1er3ocgAAAACAE/JhNpvNii4CAAAAAADOUa/Xi2azGZVKJcbjcdHlsIfb29sYjUbR6XSi1WoVXQ4AAAAAcAIEuwEAAAAAoABZlsXV1VVERDw8PESapgVXxD7yPI+Li4uIiBiPx3ZbBwAAAABe7X9FFwAAAAAAAOeo2WxGRESr1RLqLqEkSaLT6URERL1eL7gaAAAAAOAU2LEbAAAAAADe2WAwWISBHx8fI0mSYgvixS4uLiLP8+h0OtFqtYouBwAAAAAoMTt2AwAAAADAO7u7u4uIn7t1C3WX2+fPnyMiot1uR57nxRYDAAAAAJSaYDcAAAAAALyjXq+3CADPQ8GUV6PRWDz+8uVLgZUAAAAAAGUn2A0AAAAAAO+o0+lERES1WrVb9wlIkiRqtVpE/AztAwAAAAC8lGA3AAAAAAC8k9FoFFmWRUREu90uuBoOZb7zep7nMRgMCq4GAAAAACirD7PZbFZ0EQAAAAAAcA5ub29jNBpFRIQ/z5+Wi4uLyPM8qtVqDIfDossBAAAAAErIjt0AAAAAAPAO8jxfhLprtVrB1XBo1Wo1IlZ3ZQcAAAAA2IdgNwAAAAAAvIN5qDvi587dnJZPnz4tHne73QIrAQAAAADKSrAbAAAAAADewV9//bV4/OeffxZYCW9hvmN3xGqIHwAAAABgVx9ms9ms6CIAAAAAAODUffjwISIikiSJx8fHF52j1+tFnufx8PAQ0+k08jyPLMtiOp3Gzc1NDIfDlddnWRbdbjcGg8Hi9WmaRpqmUa/Xo9FobL3eaDSKbrcbk8kksixb1H9zc7PT8adS+64uLi4iz/OIiPD2CwAAAACwL8FuAAAAAACOQpZlcXV1FRE/A7hzl5eXERExnU4XX8vzPLrd7sZwbr1ej8FgsDjH/Pjlc+R5Hp1OJ1qt1qF/jI0mk0lcX19HxM+dnddDzLtYHp9N1s/bbDaj1+tFo9GI29vbSNM0ptNp9Pv96PV6i9cNh8OV3aYjfo7P3d1djEajxfGXl5cxnU4XYeuIn7+nb9++RaVSOdna93F7e7vYrXs8Hh/03AAAAADA6fu/ogsAAAAAAICInwHseUg3y7LFLsvzHZCXJUkSaZpuPM/86/Pj1o9PkiQqlcqTx7+F79+/Lx6/NOybpmn0+/2YTqcxHo/j77//3jg2ERHX19dxeXkZj4+PKyH5iJ8h6uvr62g2mxHxM4y8HJDO8zx+//33aDQaG3cWr1ari+B1nudxfX39bIi5zLXvYznYPRqNBLsBAAAAgL3YsRsAAAAAgKOU53nU6/VFUHauVqtFv9/feuxoNIrb29uVrzUajWi32+8a6J6bh4kjIvr9ftRqtVefc30X7Pmu1/V6PS4vL6Pb7W49fr6zecTPsPs8CH11dRXNZvPZ3cyvrq4W4ftKpRLj8fgsat9mMBhEvV6PiN3+nwIAAAAALPtf0QUAAAAAAMAmSZKs7MY8t0swe/mYNE3j8fExut1uIaHuiFiEiCPil12oXypN019+nsFgEFmWPRuMjoj49OnT4nGe5zEYDKLZbEalUnk2GB0RK+H0yWSy8jOecu3bLP9Mk8nkIOcEAAAAAM6HYDcAAAAAAEet3++vhKHv7++fDeLOQ7XVajUeHh4OFqZ+qe/fvy8eHzJcvvxzTafTuLu7i69fv+507Hpg/suXL/H333/vfPz6jujrO6s/p8y1P2X5d3uosDgAAAAAcD4EuwEAAAAAOGpJksS3b99Wvlav17cec3d3F2maxnA4fMvSdpbn+eLxIYPdl5eXi8eTySTSNI1KpbLTseth98lkEn/++efOIfjla0dEPDw87HTcpuPLVvuudS3/3gEAAAAAniPYDQAAAADA0atUKtHpdBbPJ5NJNJvNja9tt9uRZVmMx+P3Km+r9wz3fvr06VXHPxeYX3boEHOZa3/q3NPp9GDnBQAAAABOn2A3AAAAAACl0Gq1olarLZ73er0YDAYrrxkMBnF/fx/9fn/n3Zvf2nK4961rqlare71+vZ59jl/f9fq1IeYy1/7UubMsO9h5AQAAAIDTJ9gNAAAAAEBp9Pv9SNN08bxery/Cs1mWRb1ej06ns3dI+C29547drwmOFx2EL3PtAAAAAACHINgNAAAAAECp9Pv9lee3t7eR53nc3t5GrVaLVqtVUGWbLe8Gvb5T9KG95vxvXdtbXr/o2pcth8zfM9QPAAAAAJSfYDcAAAAAAKVSqVSi2+0unmdZFhcXFxHxa+j73JR55+oy1w4AAAAAcAiC3QAAAAAAlE6j0YhGo7HytWazWVA1AAAAAADweoLdAAAAAACUUrfbXdnlud1ux2QyKa6gJ1xeXi4eT6fTAivhPeR5vnhsF3IAAAAAYB+C3QAAAAAAlFKWZSsh2oiIer1eTDGwwXKoHwAAAADgOYLdAAAAAACU0u3tbVSr1eh2u4uvZVl2dOHu5V2b14PonJ7lXdnt2A0AAAAA7EOwGwAAAACA0pmHt/v9fjQajWg0GovvDQaDuL+/L6q0X6RpWnQJvKPl8L4duwEAAACAfQh2AwAAAABQKvf39zEYDKLf7y92RO52uysB6na7HZPJpKAKf7W8c3OWZcUVwpta35Hdjt0AAAAAwD4EuwEAAAAAKI3RaBTtdjv6/X5UKpWV7w2Hw5XnHz9+/CVoW5Tl0Llg9+la/t2u//8EAAAAAHiOYDcAAAAAAKWQ53nU6/VoNBpRq9V++X6aptHv9395/TEQ7D4P0+l08Xj5dw4AAAAAsAvBbgAAAAAASuHjx49xeXkZ3W73ydfUarVotVqL56PRKO7v79+jvK3++OOPxeOHh4cCK+EtTSaTxePl3zkAAAAAwC4EuwEAAAAAOHrX19cxmUy2hrrnOp1OVCqVxfN2u70SuC1CtVpdPC66lkNZ3p26bN6q9n/++WfxePn/IAAAAADALgS7AQAAAAA4WlmWLULdEasB6W2+fv268vzjx4+R5/mhy9vZcsj3+/fvBztvlmVbnz9neUz2DTu/djzLXPtTlkP7u/5fBQAAAACYE+wGAAAAAODoZFkW7XY7rq6uVsKyo9Fo5+OX5Xm+EhAvwjzom+f53iHmTbIs++U8g8Fg5+PXX5vn+c7jGxHx119/rTwfjUY7B6bLXPs2859JqBsAAAAAeIkPs9lsVnQRAAAAAAAwGo2i3W5HlmVbQ7adTidardbG7+V5Hh8/ftwa4E6SJG5ubiIiot1uv1sI9/7+PtrtdkREdLvdaDQaex2f53nc3d1FxM8A8VM/Y5qmkaZpJEkSzWZz8fNNJpP48uXLIlj+VLh8+fhOpxNpmkbEzzD1X3/99ezxlUolLi8vI0mS6Pf7pa99V4PBIOr1ekRs/z8KAAAAAPCU/yu6AAAAAAAAiPgv8JskSSRJsvE1eZ7Hw8PD1vPMz7HNfHfneRD3PdRqtUWwezgc7h3snk6nMRgMFj/bUz/jdDqN6XQaeZ7HH3/8sQhHZ1m29/HNZnMRjv7nn392On4enF4O55e59l0Nh8PF41qttvfxAAAAAAB27AYAAAAAgHdye3u7CJX78/xpubq6iizLolKpxHg8LrocAAAAAKCE/ld0AQAAAAAAcC6azebi8TzgTflNJpPIsiwiIj5//lxwNQAAAABAWQl2AwAAAADAO6nVapEkSUREdLvdYovhYOa/yyRJolarFVwNAAAAAFBWgt0AAAAAAPCOGo1GREQMBoPI87zYYjiIXq8XEXbrBgAAAABeR7AbAAAAAADe0efPnxe7ds8DwZTX8u9wHtoHAAAAAHgJwW4AAAAAAHhHSZIsdnb+8uVLwdXwWu12OyIiOp3OIrAPAAAAAPASgt0AAAAAAPDOWq1WpGkaeZ4vgsGUz/39feR5HpVKJVqtVtHlAAAAAAAl92E2m82KLgIAAAAAAM7NZDKJ6+vriIh4fHy023PJ5Hkev//+e+R5HuPxOCqVStElAQAAAAAlZ8duAAAAAAAoQKVSiU6nExER9Xq94GrY193dXeR5Hq1WS6gbAAAAADgIO3YDAAAAAECBbm9vYzQaRbfbjUajUXQ57GAwGES9Xo9qtRrD4bDocgAAAACAEyHYDQAAAAAABcrzPK6vryPLshiPx3Z/PnJZlsX19XVcXl7Gw8ND0eUAAAAAACdEsBsAAAAAAAqW53n8/vvvERHx48ePSJKk2ILYaB7Cn06nMR6PI03ToksCAAAAAE7I/4ouAAAAAAAAzl2SJDEej+Py8jKur68jz/OiS2KDjx8/CnUDAAAAAG9GsBsAAAAAAI5AmqaLwHC9Xi+6HNbMfyc/fvwQ6gYAAAAA3sSH2Ww2K7oIAAAAAADgP3meR5IkRZfBEr8TAAAAAOCtCXYDAAAAAAAAAAAAABTsf0UXAAAAAAAAAAAAAABw7gS7AQAAAAAAAAAAAAAKJtgNAAAAAAAAAAAAAFAwwW4AAAAAAAAAAAAAgIIJdgMAAAAAAAAAAAAAFEywGwAAAAAAAAAAAACgYILdAAAAAAAAAAAAAAAFE+wGAAAAAAAAAAAAACiYYDcAAAAAAAAAAAAAQMEEuwEAAAAAAAAAAAAACibYDQAAAAAAAAAAAABQMMFuAAAAAAAAAAAAAICCCXYDAAAAAAAAAAAAABRMsBsAAAAAAAAAAAAAoGCC3QAAAAAAAAAAAAAABRPsBgAAAAAAAAAAAAAomGA3AAAAAAAAAAAAAEDBBLsBAAAAAAAAAAAAAAom2A0AAAAAAAAAAAAAUDDBbgAAAAAAAAAAAACAggl2AwAAAAAAAAAAAAAUTLAbAAAAAAAAAAAAAKBggt0AAAAAAAAAAAAAAAUT7AYAAAAAAAAAAAAAKJhgNwAAAAAAAAAAAABAwQS7AQAAAAAAAAAAAAAKJtgNAAAAAAAAAAAAAFAwwW4AAAAAAAAAAAAAgIIJdgMAAAAAAAAAAAAAFOz/AYuXy2wbt8U2AAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3000 3000 1500.0\n" - ] - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "line": { - "dash": "solid" - }, - "mode": "lines", - "name": "Line 1", - "type": "scatter", - "x": [ - -1, - -0.9, - -0.8, - -0.7000000000000001 - ], - "xaxis": "x", - "y": [ - 0, - 10, - 40, - 90 - ], - "yaxis": "y" - }, - { - "line": { - "color": "red", - "dash": "dash" - }, - "mode": "lines", - "name": "Line 2", - "type": "scatter", - "x": [ - -1, - -0.9, - -0.8, - -0.7000000000000001 - ], - "xaxis": "x", - "y": [ - 0, - 20, - 30, - 40 - ], - "yaxis": "y" - } - ], - "layout": { - "annotations": [ - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (0, 0)", - "x": 0.5, - "xanchor": "center", - "xref": "paper", - "y": 1, - "yanchor": "bottom", - "yref": "paper" - } - ], - "font": { - "size": 14 - }, - "margin": { - "b": 10, - "l": 10, - "r": 10, - "t": 40 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ] - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ] - } - } - }, - "image/png": "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", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Test with plotly backend\n", - "c = canvas.Canvas(width=3000, ratio=0.5)\n", - "sp = c.add_subplot(\n", - " grid=True, xlabel=\"x (mm)\", ylabel=\"10y\", yscale=10, xshift=-10, xscale=0.1\n", - ")\n", - "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\", linestyle=\"-.\")\n", - "sp.add_line([0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\")\n", - "c.plot(backend=\"matplotlib\")\n", - "c.plot(backend=\"plotly\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "93421482-013b-4c8e-b7f9-fb145aacddbb", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6dc4548b-9637-444c-a6fd-215234f70103", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "env_maxplotlib", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.20" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 283057c16935ba1e4642f8ad04e90eab110dd409 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:47:40 +0200 Subject: [PATCH 02/19] set widths to 17cm --- tutorials/tutorial_03.py | 2 +- tutorials/tutorial_05.py | 2 +- tutorials/tutorial_06.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/tutorials/tutorial_03.py b/tutorials/tutorial_03.py index dd88b69..9be4f5b 100644 --- a/tutorials/tutorial_03.py +++ b/tutorials/tutorial_03.py @@ -1,6 +1,6 @@ import maxplotlib.canvas.canvas as canvas -c = canvas.Canvas(width=2000, ratio=0.5) +c = canvas.Canvas(width="17cm", ratio=0.5) sp = c.add_subplot( grid=False, xlabel="(x - 10) * 0.1", ylabel="10y", yscale=10, xshift=-10, xscale=0.1 ) diff --git a/tutorials/tutorial_05.py b/tutorials/tutorial_05.py index e1da47a..3fd63d8 100644 --- a/tutorials/tutorial_05.py +++ b/tutorials/tutorial_05.py @@ -2,7 +2,7 @@ import maxplotlib.canvas.canvas as canvas -c = canvas.Canvas(width=2000, ratio=0.5) +c = canvas.Canvas(width="17cm", ratio=0.5) sp = c.add_subplot(grid=True, xlabel="x", ylabel="y") node_a = sp.add_node( diff --git a/tutorials/tutorial_06.py b/tutorials/tutorial_06.py index a3066ee..10ff93d 100644 --- a/tutorials/tutorial_06.py +++ b/tutorials/tutorial_06.py @@ -3,7 +3,7 @@ import maxplotlib.canvas.canvas as canvas -c = canvas.Canvas(width=2000, ratio=0.5) +c = canvas.Canvas(width="17cm", ratio=0.5) sp = c.add_subplot(grid=False, xlabel="x", ylabel="y") # sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label="Line 1",layer=1) data = np.random.random((10, 10)) From 684029d8a485daf971d6ed832b27abd7948c078b Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:48:00 +0200 Subject: [PATCH 03/19] Removed .py tutorials --- tutorials/tutorial_03.py | 12 ------------ tutorials/tutorial_05.py | 25 ------------------------- tutorials/tutorial_06.py | 12 ------------ 3 files changed, 49 deletions(-) delete mode 100644 tutorials/tutorial_03.py delete mode 100644 tutorials/tutorial_05.py delete mode 100644 tutorials/tutorial_06.py diff --git a/tutorials/tutorial_03.py b/tutorials/tutorial_03.py deleted file mode 100644 index 9be4f5b..0000000 --- a/tutorials/tutorial_03.py +++ /dev/null @@ -1,12 +0,0 @@ -import maxplotlib.canvas.canvas as canvas - -c = canvas.Canvas(width="17cm", ratio=0.5) -sp = c.add_subplot( - grid=False, xlabel="(x - 10) * 0.1", ylabel="10y", yscale=10, xshift=-10, xscale=0.1 -) -sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label="Line 1", layer=0) -sp.add_line( - [0, 1, 2, 3], [0, 2, 3, 4], linestyle="dashed", color="red", label="Line 2", layer=1 -) -# c.plot() -c.savefig(layer_by_layer=True, filename="figures/tutorial_03_figure_01.pdf") diff --git a/tutorials/tutorial_05.py b/tutorials/tutorial_05.py deleted file mode 100644 index 3fd63d8..0000000 --- a/tutorials/tutorial_05.py +++ /dev/null @@ -1,25 +0,0 @@ -import numpy as np - -import maxplotlib.canvas.canvas as canvas - -c = canvas.Canvas(width="17cm", ratio=0.5) -sp = c.add_subplot(grid=True, xlabel="x", ylabel="y") - -node_a = sp.add_node( - 0, 0, "A", content="Node A", shape="circle", draw="black", fill="blue!20" -) -node_b = sp.add_node( - 1, 1, "B", content="Node B", shape="circle", draw="black", fill="blue!20" -) -# sp.add_node(2, 2, 'B', content="$a^2 + b^2 = c^2$", shape='rectangle', draw='red', fill='white', layer=1) -# sp.add_node(2, 5, 'C', shape='rectangle', draw='red', fill='red') -# last_node = sp.add_node(-1, 5, shape='rectangle', draw='red', fill='red', layer=-10) - -# Add a line between nodes -sp.add_path(["A", "B"], color="green", style="solid", line_width="2", layer=-5) - -x = np.arange(0, 2 * np.pi, 0.01) -y = np.sin(x) -sp.add_line(x, y, label=r"$\sin(x)$") -# c.plot() -c.savefig(filename="figures/tutorial_05_figure_01.pdf") diff --git a/tutorials/tutorial_06.py b/tutorials/tutorial_06.py deleted file mode 100644 index 10ff93d..0000000 --- a/tutorials/tutorial_06.py +++ /dev/null @@ -1,12 +0,0 @@ -import matplotlib.pyplot as plt -import numpy as np - -import maxplotlib.canvas.canvas as canvas - -c = canvas.Canvas(width="17cm", ratio=0.5) -sp = c.add_subplot(grid=False, xlabel="x", ylabel="y") -# sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label="Line 1",layer=1) -data = np.random.random((10, 10)) -sp.add_imshow(data, extent=[1, 10, 1, 20], layer=1) -# c.plot() -c.savefig(layer_by_layer=True, filename="figures/tutorial_06_figure_01.pdf") From b2adfdbeee544b1ceaabfcca88a0f98837f27248 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:48:10 +0200 Subject: [PATCH 04/19] Added pre-commit config --- .pre-commit-config.yaml | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 .pre-commit-config.yaml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..af67085 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,15 @@ +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 # Use the latest stable version + hooks: + - id: check-added-large-files # Prevent giant files from being committed. + args: ["--maxkb=1000"] + - id: check-merge-conflict # Check for files that contain merge conflict strings. + - id: check-toml # Attempts to load all TOML files to verify syntax. + - id: check-yaml # Attempts to load all yaml files to verify syntax. + args: ["--unsafe"] + + - repo: https://github.com/kynan/nbstripout + rev: 0.8.1 + hooks: + - id: nbstripout # remove jupyter notebook cell output From 1efc9afae03d1aaebf24ed7451f9d28fcc26fa4f Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:49:17 +0200 Subject: [PATCH 05/19] Converted tutorials to ipynb --- pyproject.toml | 1 + tutorials/tutorial_03.ipynb | 45 ++++++++++++ tutorials/tutorial_04.ipynb | 137 ++++++++++++++++++++++++++++++++++++ tutorials/tutorial_05.ipynb | 87 +++++++++++++++++++++++ tutorials/tutorial_06.ipynb | 50 +++++++++++++ 5 files changed, 320 insertions(+) create mode 100644 tutorials/tutorial_03.ipynb create mode 100644 tutorials/tutorial_04.ipynb create mode 100644 tutorials/tutorial_05.ipynb create mode 100644 tutorials/tutorial_06.ipynb diff --git a/pyproject.toml b/pyproject.toml index 1a929ea..0e65684 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,6 +30,7 @@ dev = [ "black", "isort", "jupyterlab", + "nbstripout" ] [project.urls] "Source" = "https://github.com/max-models/maxplotlib" diff --git a/tutorials/tutorial_03.ipynb b/tutorials/tutorial_03.ipynb new file mode 100644 index 0000000..4fb7c82 --- /dev/null +++ b/tutorials/tutorial_03.ipynb @@ -0,0 +1,45 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "5a83b8ed", + "metadata": {}, + "outputs": [], + "source": [ + "import maxplotlib.canvas.canvas as canvas" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88c5ec37", + "metadata": {}, + "outputs": [], + "source": [ + "c = canvas.Canvas(width=\"17cm\", ratio=0.5)\n", + "sp = c.add_subplot(\n", + " grid=False, xlabel=\"(x - 10) * 0.1\", ylabel=\"10y\", yscale=10, xshift=-10, xscale=0.1\n", + ")\n", + "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\", layer=0)\n", + "sp.add_line(\n", + " [0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\", layer=1\n", + ")\n", + "# c.plot()\n", + "c.savefig(layer_by_layer=True, filename=\"figures/tutorial_03_figure_01.pdf\")" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tutorial_04.ipynb b/tutorials/tutorial_04.ipynb new file mode 100644 index 0000000..4c0218b --- /dev/null +++ b/tutorials/tutorial_04.ipynb @@ -0,0 +1,137 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "73e47d39", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Tutorial 4.\n", + "\n", + "Add raw tikz code to the tikz subplot.\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3758983", + "metadata": {}, + "outputs": [], + "source": [ + "import maxplotlib.canvas.canvas as canvas" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6018c33c", + "metadata": {}, + "outputs": [], + "source": [ + "c = canvas.Canvas(width=800, ratio=0.5)\n", + "tikz = c.add_tikzfigure(grid=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "274987f3", + "metadata": { + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# Add nodes\n", + "tikz.add_node(0, 0, \"A\", shape=\"circle\", draw=\"black\", fill=\"blue\", layer=0)\n", + "tikz.add_node(10, 0, \"B\", shape=\"circle\", draw=\"black\", fill=\"blue\", layer=0)\n", + "tikz.add_node(10, 10, \"C\", shape=\"circle\", draw=\"black\", fill=\"blue\", layer=0)\n", + "tikz.add_node(0, 10, \"D\", shape=\"circle\", draw=\"black\", fill=\"blue\", layer=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6934ff1b", + "metadata": {}, + "outputs": [], + "source": [ + "# Add a line between nodes\n", + "tikz.add_path(\n", + " [\"A\", \"B\", \"C\", \"D\"],\n", + " path_actions=[\"draw\", \"rounded corners\"],\n", + " fill=\"red\",\n", + " opacity=0.5,\n", + " cycle=True,\n", + " layer=1,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64d9335c", + "metadata": {}, + "outputs": [], + "source": [ + "raw_tikz = r\"\"\"\n", + "\\foreach \\i in {0, 45, 90, 135, 180, 225, 270, 315} {\n", + " % Place a node at angle \\i\n", + " \\node[circle, draw, fill=green] at (\\i:3) (N\\i) {};\n", + "}\n", + "\n", + "% Draw lines connecting the nodes\n", + "\\foreach \\i/\\j in {0/45, 45/90, 90/135, 135/180, 180/225, 225/270, 270/315, 315/0} {\n", + " \\draw (N\\i) -- (N\\j);\n", + "}\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f0a5b9c9", + "metadata": {}, + "outputs": [], + "source": [ + "tikz.add_raw(raw_tikz)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0a5a6d7f", + "metadata": {}, + "outputs": [], + "source": [ + "tikz.add_node(0.5, 0.5, content=\"Cube\", layer=10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6cd2a009", + "metadata": {}, + "outputs": [], + "source": [ + "# Generate the TikZ script\n", + "script = tikz.generate_tikz()\n", + "print(script)\n", + "# print(tikz.generate_standalone())\n", + "tikz.compile_pdf(\"figures/tutorial_04_figure_01.pdf\")\n", + "#" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tutorial_05.ipynb b/tutorials/tutorial_05.ipynb new file mode 100644 index 0000000..916a56c --- /dev/null +++ b/tutorials/tutorial_05.ipynb @@ -0,0 +1,87 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "e5f3b684", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "909dbed8", + "metadata": {}, + "outputs": [], + "source": [ + "import maxplotlib.canvas.canvas as canvas" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44c6922f", + "metadata": {}, + "outputs": [], + "source": [ + "c = canvas.Canvas(width="17cm", ratio=0.5)\n", + "sp = c.add_subplot(grid=True, xlabel=\"x\", ylabel=\"y\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "168ba89a", + "metadata": {}, + "outputs": [], + "source": [ + "node_a = sp.add_node(\n", + " 0, 0, \"A\", content=\"Node A\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", + ")\n", + "node_b = sp.add_node(\n", + " 1, 1, \"B\", content=\"Node B\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", + ")\n", + "# sp.add_node(2, 2, 'B', content=\"$a^2 + b^2 = c^2$\", shape='rectangle', draw='red', fill='white', layer=1)\n", + "# sp.add_node(2, 5, 'C', shape='rectangle', draw='red', fill='red')\n", + "# last_node = sp.add_node(-1, 5, shape='rectangle', draw='red', fill='red', layer=-10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f86d41a", + "metadata": {}, + "outputs": [], + "source": [ + "# Add a line between nodes\n", + "sp.add_path([\"A\", \"B\"], color=\"green\", style=\"solid\", line_width=\"2\", layer=-5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eb7dee8e", + "metadata": {}, + "outputs": [], + "source": [ + "x = np.arange(0, 2 * np.pi, 0.01)\n", + "y = np.sin(x)\n", + "sp.add_line(x, y, label=r\"$\\sin(x)$\")\n", + "# c.plot()\n", + "c.savefig(filename=\"figures/tutorial_05_figure_01.pdf\")" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tutorial_06.ipynb b/tutorials/tutorial_06.ipynb new file mode 100644 index 0000000..c5ab9a1 --- /dev/null +++ b/tutorials/tutorial_06.ipynb @@ -0,0 +1,50 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "9d413776", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "41b40c4d", + "metadata": {}, + "outputs": [], + "source": [ + "import maxplotlib.canvas.canvas as canvas" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02c73973", + "metadata": {}, + "outputs": [], + "source": [ + "c = canvas.Canvas(width="17cm", ratio=0.5)\n", + "sp = c.add_subplot(grid=False, xlabel=\"x\", ylabel=\"y\")\n", + "# sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\",layer=1)\n", + "data = np.random.random((10, 10))\n", + "sp.add_imshow(data, extent=[1, 10, 1, 20], layer=1)\n", + "# c.plot()\n", + "c.savefig(layer_by_layer=True, filename=\"figures/tutorial_06_figure_01.pdf\")" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 64197d65afb571ae08b767a46d9e8eb7553079ca Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:50:58 +0200 Subject: [PATCH 06/19] Adde pre-commit to pyproject.toml --- pyproject.toml | 3 ++- tutorials/tutorial_03.ipynb | 22 ++++++++++++++++++---- 2 files changed, 20 insertions(+), 5 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 0e65684..97674e0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,7 +30,8 @@ dev = [ "black", "isort", "jupyterlab", - "nbstripout" + "nbstripout", + "pre-commit", ] [project.urls] "Source" = "https://github.com/max-models/maxplotlib" diff --git a/tutorials/tutorial_03.ipynb b/tutorials/tutorial_03.ipynb index 4fb7c82..62a1dab 100644 --- a/tutorials/tutorial_03.ipynb +++ b/tutorials/tutorial_03.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5a83b8ed", + "id": "0", "metadata": {}, "outputs": [], "source": [ @@ -13,7 +13,7 @@ { "cell_type": "code", "execution_count": null, - "id": "88c5ec37", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -26,7 +26,7 @@ " [0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\", layer=1\n", ")\n", "# c.plot()\n", - "c.savefig(layer_by_layer=True, filename=\"figures/tutorial_03_figure_01.pdf\")" + "c.savefig(layer_by_layer=True, filename=\"tutorial_03_01.pdf\")" ] } ], @@ -36,8 +36,22 @@ "main_language": "python", "notebook_metadata_filter": "-all" }, + "kernelspec": { + "display_name": "env_maxplotlib", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" } }, "nbformat": 4, From f384842432eab0bacfe3cd816a7e0a48714eb314 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:52:59 +0200 Subject: [PATCH 07/19] Cleaned out tutorials --- tutorials/tutorial_01.ipynb | 1889 +---------------------------------- tutorials/tutorial_02.ipynb | 105 +- tutorials/tutorial_04.ipynb | 18 +- tutorials/tutorial_04.py | 50 - tutorials/tutorial_05.ipynb | 87 -- tutorials/tutorial_06.ipynb | 50 - 6 files changed, 33 insertions(+), 2166 deletions(-) delete mode 100644 tutorials/tutorial_04.py delete mode 100644 tutorials/tutorial_05.ipynb delete mode 100644 tutorials/tutorial_06.ipynb diff --git a/tutorials/tutorial_01.ipynb b/tutorials/tutorial_01.ipynb index cee976c..b36da54 100644 --- a/tutorials/tutorial_01.ipynb +++ b/tutorials/tutorial_01.ipynb @@ -2,19 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, - "id": "74a7f750-f40c-482a-a84d-a16f48c86a8a", + "execution_count": null, + "id": "0", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], + "outputs": [], "source": [ "import maxplotlib.canvas.canvas as canvas\n", "\n", @@ -24,28 +15,10 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "2832f246-ff56-4a9f-bc1d-8cc0452f99c4", + "execution_count": null, + "id": "1", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "subplot = \n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "c = canvas.Canvas(width=\"17cm\", ratio=0.5, fontsize=12)\n", "sp = c.add_subplot(\n", @@ -59,964 +32,10 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "9e18e6a2-820b-4f72-ab44-02676f463d2e", + "execution_count": null, + "id": "2", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "subplot = \n", - "subplot = \n", - "subplot = \n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "line": { - "dash": "solid" - }, - "mode": "lines", - "name": "Line 1", - "type": "scatter", - "x": { - "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAAABAAAAAAAAACEA=", - "dtype": "f8" - }, - "xaxis": "x", - "y": { - "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAABBAAAAAAAAAIkA=", - "dtype": "f8" - }, - "yaxis": "y" - }, - { - "line": { - "color": "red", - "dash": "dash" - }, - "mode": "lines", - "name": "Line 2", - "type": "scatter", - "x": { - "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAAABAAAAAAAAACEA=", - "dtype": "f8" - }, - "xaxis": "x4", - "y": { - "bdata": "AAAAAAAAAAAAAAAAAAAAQAAAAAAAAAhAAAAAAAAAEEA=", - "dtype": "f8" - }, - "yaxis": "y4" - } - ], - "layout": { - "annotations": [ - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (0, 0)", - "x": 0.225, - "xanchor": "center", - "xref": "paper", - "y": 1, - "yanchor": "bottom", - "yref": "paper" - }, - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (1, 0)", - "x": 0.775, - "xanchor": "center", - "xref": "paper", - "y": 1, - "yanchor": "bottom", - "yref": "paper" - }, - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (1, 1)", - "x": 0.225, - "xanchor": "center", - "xref": "paper", - "y": 0.375, - "yanchor": "bottom", - "yref": "paper" - } - ], - "font": { - "size": 14 - }, - "margin": { - "b": 10, - "l": 10, - "r": 10, - "t": 40 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermap": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermap" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 0.45 - ] - }, - "xaxis2": { - "anchor": "y2", - "domain": [ - 0.55, - 1 - ] - }, - "xaxis3": { - "anchor": "y3", - "domain": [ - 0, - 0.45 - ] - }, - "xaxis4": { - "anchor": "y4", - "domain": [ - 0.55, - 1 - ] - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0.625, - 1 - ] - }, - "yaxis2": { - "anchor": "x2", - "domain": [ - 0.625, - 1 - ] - }, - "yaxis3": { - "anchor": "x3", - "domain": [ - 0, - 0.375 - ] - }, - "yaxis4": { - "anchor": "x4", - "domain": [ - 0, - 0.375 - ] - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "c = canvas.Canvas(width=\"17cm\", ncols=2, nrows=2, ratio=0.5)\n", "sp = c.add_subplot(grid=True)\n", @@ -1033,894 +52,10 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "f78f5dc1-320e-44ad-98b7-0e0458f4ce03", + "execution_count": null, + "id": "3", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "subplot = \n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "line": { - "dash": "solid" - }, - "mode": "lines", - "name": "Line 1", - "type": "scatter", - "x": { - "bdata": "AAAAAAAA8L/NzMzMzMzsv5qZmZmZmem/Z2ZmZmZm5r8=", - "dtype": "f8" - }, - "xaxis": "x", - "y": { - "bdata": "AAAAAAAAAAAAAAAAAAAkQAAAAAAAAERAAAAAAACAVkA=", - "dtype": "f8" - }, - "yaxis": "y" - }, - { - "line": { - "color": "red", - "dash": "dash" - }, - "mode": "lines", - "name": "Line 2", - "type": "scatter", - "x": { - "bdata": "AAAAAAAA8L/NzMzMzMzsv5qZmZmZmem/Z2ZmZmZm5r8=", - "dtype": "f8" - }, - "xaxis": "x", - "y": { - "bdata": "AAAAAAAAAAAAAAAAAAA0QAAAAAAAAD5AAAAAAAAAREA=", - "dtype": "f8" - }, - "yaxis": "y" - } - ], - "layout": { - "annotations": [ - { - "font": { - "size": 16 - }, - "showarrow": false, - "text": "Subplot (0, 0)", - "x": 0.5, - "xanchor": "center", - "xref": "paper", - "y": 1, - "yanchor": "bottom", - "yref": "paper" - } - ], - "font": { - "size": 14 - }, - "margin": { - "b": 10, - "l": 10, - "r": 10, - "t": 40 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermap": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermap" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ] - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ] - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Test with plotly backend\n", "c = canvas.Canvas(width=\"17cm\", ratio=0.5)\n", diff --git a/tutorials/tutorial_02.ipynb b/tutorials/tutorial_02.ipynb index 32a6906..912b568 100644 --- a/tutorials/tutorial_02.ipynb +++ b/tutorials/tutorial_02.ipynb @@ -2,19 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 8, - "id": "3816e8ed-5107-4d8c-9e78-f801af118811", + "execution_count": null, + "id": "0", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], + "outputs": [], "source": [ "import maxplotlib.canvas.canvas as canvas\n", "\n", @@ -24,18 +15,10 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "650f0afa-f719-4495-b020-fc2b2df36bd7", + "execution_count": null, + "id": "1", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PDF successfully compiled and saved as 'tutorial_02_01.pdf'.\n" - ] - } - ], + "outputs": [], "source": [ "c = canvas.Canvas(width=800, ratio=0.5)\n", "tikz = c.add_tikzfigure(grid=False)\n", @@ -65,49 +48,10 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "344589d9-c60f-4d01-8171-e35db585f1ad", + "execution_count": null, + "id": "2", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Ignoring fixed y limits to fulfill fixed data aspect with adjustable data limits.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PDF successfully compiled and saved as 'tutorial_02_02.pdf'.\n", - "subplot = \n", - "subplot = \n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(
,\n", - " array([[, ]],\n", - " dtype=object))" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "c = canvas.Canvas(ncols=2, width=\"20cm\", ratio=0.5)\n", "tikz = c.add_tikzfigure(grid=False)\n", @@ -154,35 +98,10 @@ }, { "cell_type": "code", - "execution_count": 11, - "id": "7c37d9b8-256b-4907-9c95-288b18cb396d", + "execution_count": null, + "id": "3", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\\documentclass[border=10pt]{standalone}\n", - "\\usepackage{tikz}\n", - "\\begin{document}\n", - "\\begin{tikzpicture}\n", - " % Define the layers library\n", - " \\pgfdeclarelayer{0}\n", - " \\pgfsetlayers{0}\n", - " \n", - " % Layer 0\n", - " \\begin{pgfonlayer}{0}\n", - " \\node (A) at (0, 0) {};\n", - " \\node (B) at (10, 0) {};\n", - " \\draw[->, out=30] (A.center) to (B.center);\n", - " \\end{pgfonlayer}{0}\n", - "\\end{tikzpicture}\n", - "\n", - "\\end{document}\n", - "PDF successfully compiled and saved as 'tutorial_02_03.pdf'.\n" - ] - } - ], + "outputs": [], "source": [ "c = canvas.Canvas(width=800, ratio=0.5)\n", "tikz = c.add_tikzfigure(grid=False)\n", diff --git a/tutorials/tutorial_04.ipynb b/tutorials/tutorial_04.ipynb index 4c0218b..f2701e2 100644 --- a/tutorials/tutorial_04.ipynb +++ b/tutorials/tutorial_04.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": null, - "id": "73e47d39", + "id": "0", "metadata": {}, "outputs": [], "source": [ @@ -17,7 +17,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d3758983", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -27,7 +27,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6018c33c", + "id": "2", "metadata": {}, "outputs": [], "source": [ @@ -38,7 +38,7 @@ { "cell_type": "code", "execution_count": null, - "id": "274987f3", + "id": "3", "metadata": { "lines_to_next_cell": 2 }, @@ -54,7 +54,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6934ff1b", + "id": "4", "metadata": {}, "outputs": [], "source": [ @@ -72,7 +72,7 @@ { "cell_type": "code", "execution_count": null, - "id": "64d9335c", + "id": "5", "metadata": {}, "outputs": [], "source": [ @@ -92,7 +92,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f0a5b9c9", + "id": "6", "metadata": {}, "outputs": [], "source": [ @@ -102,7 +102,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0a5a6d7f", + "id": "7", "metadata": {}, "outputs": [], "source": [ @@ -112,7 +112,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6cd2a009", + "id": "8", "metadata": {}, "outputs": [], "source": [ diff --git a/tutorials/tutorial_04.py b/tutorials/tutorial_04.py deleted file mode 100644 index b8c1959..0000000 --- a/tutorials/tutorial_04.py +++ /dev/null @@ -1,50 +0,0 @@ -""" -Tutorial 4. - -Add raw tikz code to the tikz subplot. -""" - -import maxplotlib.canvas.canvas as canvas - -c = canvas.Canvas(width=800, ratio=0.5) -tikz = c.add_tikzfigure(grid=False) - -# Add nodes -tikz.add_node(0, 0, "A", shape="circle", draw="black", fill="blue", layer=0) -tikz.add_node(10, 0, "B", shape="circle", draw="black", fill="blue", layer=0) -tikz.add_node(10, 10, "C", shape="circle", draw="black", fill="blue", layer=0) -tikz.add_node(0, 10, "D", shape="circle", draw="black", fill="blue", layer=2) - - -# Add a line between nodes -tikz.add_path( - ["A", "B", "C", "D"], - path_actions=["draw", "rounded corners"], - fill="red", - opacity=0.5, - cycle=True, - layer=1, -) - -raw_tikz = r""" -\foreach \i in {0, 45, 90, 135, 180, 225, 270, 315} { - % Place a node at angle \i - \node[circle, draw, fill=green] at (\i:3) (N\i) {}; -} - -% Draw lines connecting the nodes -\foreach \i/\j in {0/45, 45/90, 90/135, 135/180, 180/225, 225/270, 270/315, 315/0} { - \draw (N\i) -- (N\j); -} -""" - -tikz.add_raw(raw_tikz) - -tikz.add_node(0.5, 0.5, content="Cube", layer=10) - -# Generate the TikZ script -script = tikz.generate_tikz() -print(script) -# print(tikz.generate_standalone()) -tikz.compile_pdf("figures/tutorial_04_figure_01.pdf") -# diff --git a/tutorials/tutorial_05.ipynb b/tutorials/tutorial_05.ipynb deleted file mode 100644 index 916a56c..0000000 --- a/tutorials/tutorial_05.ipynb +++ /dev/null @@ -1,87 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "e5f3b684", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "909dbed8", - "metadata": {}, - "outputs": [], - "source": [ - "import maxplotlib.canvas.canvas as canvas" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "44c6922f", - "metadata": {}, - "outputs": [], - "source": [ - "c = canvas.Canvas(width="17cm", ratio=0.5)\n", - "sp = c.add_subplot(grid=True, xlabel=\"x\", ylabel=\"y\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "168ba89a", - "metadata": {}, - "outputs": [], - "source": [ - "node_a = sp.add_node(\n", - " 0, 0, \"A\", content=\"Node A\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", - ")\n", - "node_b = sp.add_node(\n", - " 1, 1, \"B\", content=\"Node B\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", - ")\n", - "# sp.add_node(2, 2, 'B', content=\"$a^2 + b^2 = c^2$\", shape='rectangle', draw='red', fill='white', layer=1)\n", - "# sp.add_node(2, 5, 'C', shape='rectangle', draw='red', fill='red')\n", - "# last_node = sp.add_node(-1, 5, shape='rectangle', draw='red', fill='red', layer=-10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4f86d41a", - "metadata": {}, - "outputs": [], - "source": [ - "# Add a line between nodes\n", - "sp.add_path([\"A\", \"B\"], color=\"green\", style=\"solid\", line_width=\"2\", layer=-5)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "eb7dee8e", - "metadata": {}, - "outputs": [], - "source": [ - "x = np.arange(0, 2 * np.pi, 0.01)\n", - "y = np.sin(x)\n", - "sp.add_line(x, y, label=r\"$\\sin(x)$\")\n", - "# c.plot()\n", - "c.savefig(filename=\"figures/tutorial_05_figure_01.pdf\")" - ] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "main_language": "python", - "notebook_metadata_filter": "-all" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/tutorials/tutorial_06.ipynb b/tutorials/tutorial_06.ipynb deleted file mode 100644 index c5ab9a1..0000000 --- a/tutorials/tutorial_06.ipynb +++ /dev/null @@ -1,50 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "9d413776", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "41b40c4d", - "metadata": {}, - "outputs": [], - "source": [ - "import maxplotlib.canvas.canvas as canvas" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "02c73973", - "metadata": {}, - "outputs": [], - "source": [ - "c = canvas.Canvas(width="17cm", ratio=0.5)\n", - "sp = c.add_subplot(grid=False, xlabel=\"x\", ylabel=\"y\")\n", - "# sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\",layer=1)\n", - "data = np.random.random((10, 10))\n", - "sp.add_imshow(data, extent=[1, 10, 1, 20], layer=1)\n", - "# c.plot()\n", - "c.savefig(layer_by_layer=True, filename=\"figures/tutorial_06_figure_01.pdf\")" - ] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "main_language": "python", - "notebook_metadata_filter": "-all" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 8961d9909382c341f99bbdc7f990671ecceddd89 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 10:58:52 +0200 Subject: [PATCH 08/19] added tutorial 5 and 6 --- tutorials/tutorial_01.ipynb | 2 +- tutorials/tutorial_05.ipynb | 77 +++++++++++++++++++++++++++++++++++++ tutorials/tutorial_06.ipynb | 64 ++++++++++++++++++++++++++++++ 3 files changed, 142 insertions(+), 1 deletion(-) create mode 100644 tutorials/tutorial_05.ipynb create mode 100644 tutorials/tutorial_06.ipynb diff --git a/tutorials/tutorial_01.ipynb b/tutorials/tutorial_01.ipynb index b36da54..c4e18d0 100644 --- a/tutorials/tutorial_01.ipynb +++ b/tutorials/tutorial_01.ipynb @@ -72,7 +72,7 @@ ], "metadata": { "kernelspec": { - "display_name": "env_maxplotlib", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, diff --git a/tutorials/tutorial_05.ipynb b/tutorials/tutorial_05.ipynb new file mode 100644 index 0000000..fe210cb --- /dev/null +++ b/tutorials/tutorial_05.ipynb @@ -0,0 +1,77 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "0", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "import maxplotlib.canvas.canvas as canvas\n", + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [], + "source": [ + "c = canvas.Canvas(width=\"17cm\", ratio=0.5)\n", + "sp = c.add_subplot(grid=True, xlabel=\"x\", ylabel=\"y\")\n", + "\n", + "node_a = sp.add_node(\n", + " 0, 0, \"A\", content=\"Node A\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", + ")\n", + "node_b = sp.add_node(\n", + " 1, 1, \"B\", content=\"Node B\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", + ")\n", + "# sp.add_node(2, 2, 'B', content=\"$a^2 + b^2 = c^2$\", shape='rectangle', draw='red', fill='white', layer=1)\n", + "# sp.add_node(2, 5, 'C', shape='rectangle', draw='red', fill='red')\n", + "# last_node = sp.add_node(-1, 5, shape='rectangle', draw='red', fill='red', layer=-10)\n", + "\n", + "# Add a line between nodes\n", + "sp.add_path([\"A\", \"B\"], color=\"green\", style=\"solid\", line_width=\"2\", layer=-5)\n", + "\n", + "x = np.arange(0, 2 * np.pi, 0.01)\n", + "y = np.sin(x)\n", + "sp.add_line(x, y, label=r\"$\\sin(x)$\")\n", + "# c.plot()\n", + "c.savefig(filename=\"tutorial_05_01.pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tutorial_06.ipynb b/tutorials/tutorial_06.ipynb new file mode 100644 index 0000000..d2ebb7a --- /dev/null +++ b/tutorials/tutorial_06.ipynb @@ -0,0 +1,64 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "0", + "metadata": {}, + "outputs": [], + "source": [ + "import maxplotlib.canvas.canvas as canvas\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [], + "source": [ + "c = canvas.Canvas(width=\"17cm\", ratio=0.5)\n", + "sp = c.add_subplot(grid=False, xlabel=\"x\", ylabel=\"y\")\n", + "# sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\",layer=1)\n", + "data = np.random.random((10, 10))\n", + "sp.add_imshow(data, extent=[1, 10, 1, 20], layer=1)\n", + "# c.plot()\n", + "c.savefig(layer_by_layer=True, filename=\"tutorial_06_01.pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 662dc7cfc90f58202138c302560bf9305413c7de Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 11:45:11 +0200 Subject: [PATCH 09/19] Added docs --- .github/workflows/ci_pipeline.yml | 21 ++++++++++++ docs/Makefile | 20 ++++++++++++ docs/make.bat | 35 ++++++++++++++++++++ docs/source/conf.py | 47 +++++++++++++++++++++++++++ docs/source/index.rst | 23 +++++++++++++ pyproject.toml | 11 ++++++- src/maxplotlib/subfigure/line_plot.py | 1 + tutorials/tutorial_01.ipynb | 19 ++++++++--- tutorials/tutorial_02.ipynb | 16 ++++++--- tutorials/tutorial_03.ipynb | 12 +++++-- tutorials/tutorial_04.ipynb | 45 +++++++++++++++++++------ tutorials/tutorial_05.ipynb | 30 ++++++++++------- tutorials/tutorial_06.ipynb | 16 ++++++--- 13 files changed, 259 insertions(+), 37 deletions(-) create mode 100644 docs/Makefile create mode 100644 docs/make.bat create mode 100644 docs/source/conf.py create mode 100644 docs/source/index.rst diff --git a/.github/workflows/ci_pipeline.yml b/.github/workflows/ci_pipeline.yml index deac0c6..7a3fa92 100644 --- a/.github/workflows/ci_pipeline.yml +++ b/.github/workflows/ci_pipeline.yml @@ -38,3 +38,24 @@ jobs: run: | coverage run -m pytest . coverage report --sort=cover + build_docs: + runs-on: ubuntu-latest + steps: + - name: Check out the code + uses: actions/checkout@v3 + + - name: Install python dependencies + run: | + python -m pip install --upgrade pip + pip install ".[docs]" + + - name: Build Sphinx documentation + run: | + cd docs/ + make html + + - name: Upload built docs as artifact + uses: actions/upload-artifact@v4 + with: + name: html-docs + path: docs/build/html/ \ No newline at end of file diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 0000000..d0c3cbf --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = source +BUILDDIR = build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 0000000..747ffb7 --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=source +set BUILDDIR=build + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.https://www.sphinx-doc.org/ + exit /b 1 +) + +if "%1" == "" goto help + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/source/conf.py b/docs/source/conf.py new file mode 100644 index 0000000..5d395b5 --- /dev/null +++ b/docs/source/conf.py @@ -0,0 +1,47 @@ +# Configuration file for the Sphinx documentation builder. +# +# For the full list of built-in configuration values, see the documentation: +# https://www.sphinx-doc.org/en/master/usage/configuration.html + +import shutil +import os + +def copy_tutorials(app): + src = os.path.abspath("../tutorials") + dst = os.path.abspath("source/tutorials") + + # Remove existing target directory if it exists + if os.path.exists(dst): + shutil.rmtree(dst) + + shutil.copytree(src, dst) + +def setup(app): + app.connect("builder-inited", copy_tutorials) + +# -- Project information ----------------------------------------------------- +# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information + +project = 'maxplotlib' +copyright = '2025, Max Lindqvist' +author = 'Max Lindqvist' + +# -- General configuration --------------------------------------------------- +# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration + +extensions = [ + 'nbsphinx', + 'sphinx.ext.mathjax', + 'sphinx.ext.autodoc', +] + +templates_path = ['_templates'] +exclude_patterns = [] + + + +# -- Options for HTML output ------------------------------------------------- +# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output + +html_theme = 'sphinx_rtd_theme' +html_static_path = ['_static'] diff --git a/docs/source/index.rst b/docs/source/index.rst new file mode 100644 index 0000000..6fb89fc --- /dev/null +++ b/docs/source/index.rst @@ -0,0 +1,23 @@ +.. maxplotlib documentation master file, created by + sphinx-quickstart on Sun Jun 22 11:14:00 2025. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +maxplotlib documentation +======================== + +Add your content using ``reStructuredText`` syntax. See the +`reStructuredText `_ +documentation for details. + + +.. toctree:: + :maxdepth: 2 + :caption: Tutorials: + + tutorials/tutorial_01 + tutorials/tutorial_02 + tutorials/tutorial_03 + tutorials/tutorial_04 + tutorials/tutorial_05 + tutorials/tutorial_06 diff --git a/pyproject.toml b/pyproject.toml index 97674e0..49b4073 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,14 +24,23 @@ test = [ "pytest", "coverage", ] +docs = [ + "myst-parser", + "sphinx", + "sphinx-rtd-theme", + "nbsphinx", + "ipykernel", + "nbconvert", +] dev = [ - "maxplotlib[test]", + "maxplotlib[test,docs]", "ruff", "black", "isort", "jupyterlab", "nbstripout", "pre-commit", + "pyproject-fmt", ] [project.urls] "Source" = "https://github.com/max-models/maxplotlib" diff --git a/src/maxplotlib/subfigure/line_plot.py b/src/maxplotlib/subfigure/line_plot.py index 8fbb638..b215893 100644 --- a/src/maxplotlib/subfigure/line_plot.py +++ b/src/maxplotlib/subfigure/line_plot.py @@ -247,6 +247,7 @@ def add_node(self, x, y, label=None, content="", layer=0, **kwargs): if layer in self.layers: self.layers[layer].add(node) else: + print(f"{self.layers = } {layer = }") self.layers[layer] = Tikzlayer(layer) self.layers[layer].add(node) self._node_counter += 1 diff --git a/tutorials/tutorial_01.ipynb b/tutorials/tutorial_01.ipynb index c4e18d0..e0854d3 100644 --- a/tutorials/tutorial_01.ipynb +++ b/tutorials/tutorial_01.ipynb @@ -1,9 +1,18 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "\n", + "# Tutorial 1\n" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "0", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -16,7 +25,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1", + "id": "2", "metadata": {}, "outputs": [], "source": [ @@ -33,7 +42,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2", + "id": "3", "metadata": {}, "outputs": [], "source": [ @@ -53,7 +62,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3", + "id": "4", "metadata": {}, "outputs": [], "source": [ @@ -72,7 +81,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "env_maxplotlib", "language": "python", "name": "python3" }, diff --git a/tutorials/tutorial_02.ipynb b/tutorials/tutorial_02.ipynb index 912b568..969d242 100644 --- a/tutorials/tutorial_02.ipynb +++ b/tutorials/tutorial_02.ipynb @@ -1,9 +1,17 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Tutorial 2" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "0", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -16,7 +24,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1", + "id": "2", "metadata": {}, "outputs": [], "source": [ @@ -49,7 +57,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2", + "id": "3", "metadata": {}, "outputs": [], "source": [ @@ -99,7 +107,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3", + "id": "4", "metadata": {}, "outputs": [], "source": [ diff --git a/tutorials/tutorial_03.ipynb b/tutorials/tutorial_03.ipynb index 62a1dab..e4f577b 100644 --- a/tutorials/tutorial_03.ipynb +++ b/tutorials/tutorial_03.ipynb @@ -1,9 +1,17 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Tutorial 3" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "0", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -13,7 +21,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1", + "id": "2", "metadata": {}, "outputs": [], "source": [ diff --git a/tutorials/tutorial_04.ipynb b/tutorials/tutorial_04.ipynb index f2701e2..a874353 100644 --- a/tutorials/tutorial_04.ipynb +++ b/tutorials/tutorial_04.ipynb @@ -1,9 +1,17 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Tutorial 4" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "0", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -17,7 +25,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1", + "id": "2", "metadata": {}, "outputs": [], "source": [ @@ -27,7 +35,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2", + "id": "3", "metadata": {}, "outputs": [], "source": [ @@ -38,7 +46,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3", + "id": "4", "metadata": { "lines_to_next_cell": 2 }, @@ -54,7 +62,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4", + "id": "5", "metadata": {}, "outputs": [], "source": [ @@ -72,7 +80,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5", + "id": "6", "metadata": {}, "outputs": [], "source": [ @@ -92,7 +100,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6", + "id": "7", "metadata": {}, "outputs": [], "source": [ @@ -102,7 +110,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7", + "id": "8", "metadata": {}, "outputs": [], "source": [ @@ -112,7 +120,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8", + "id": "9", "metadata": {}, "outputs": [], "source": [ @@ -120,7 +128,7 @@ "script = tikz.generate_tikz()\n", "print(script)\n", "# print(tikz.generate_standalone())\n", - "tikz.compile_pdf(\"figures/tutorial_04_figure_01.pdf\")\n", + "#tikz.compile_pdf(\"tutorial_04_01.pdf\")\n", "#" ] } @@ -130,6 +138,23 @@ "cell_metadata_filter": "-all", "main_language": "python", "notebook_metadata_filter": "-all" + }, + "kernelspec": { + "display_name": "env_maxplotlib", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" } }, "nbformat": 4, diff --git a/tutorials/tutorial_05.ipynb b/tutorials/tutorial_05.ipynb index fe210cb..9129495 100644 --- a/tutorials/tutorial_05.ipynb +++ b/tutorials/tutorial_05.ipynb @@ -1,9 +1,17 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Tutorial 5" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "0", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -17,25 +25,25 @@ { "cell_type": "code", "execution_count": null, - "id": "1", + "id": "2", "metadata": {}, "outputs": [], "source": [ "c = canvas.Canvas(width=\"17cm\", ratio=0.5)\n", "sp = c.add_subplot(grid=True, xlabel=\"x\", ylabel=\"y\")\n", "\n", - "node_a = sp.add_node(\n", - " 0, 0, \"A\", content=\"Node A\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", - ")\n", - "node_b = sp.add_node(\n", - " 1, 1, \"B\", content=\"Node B\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", - ")\n", + "# node_a = sp.add_node(\n", + "# 0, 0, \"A\", content=\"Node A\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", + "# )\n", + "# node_b = sp.add_node(\n", + "# 1, 1, \"B\", content=\"Node B\", shape=\"circle\", draw=\"black\", fill=\"blue!20\"\n", + "# )\n", "# sp.add_node(2, 2, 'B', content=\"$a^2 + b^2 = c^2$\", shape='rectangle', draw='red', fill='white', layer=1)\n", "# sp.add_node(2, 5, 'C', shape='rectangle', draw='red', fill='red')\n", "# last_node = sp.add_node(-1, 5, shape='rectangle', draw='red', fill='red', layer=-10)\n", "\n", "# Add a line between nodes\n", - "sp.add_path([\"A\", \"B\"], color=\"green\", style=\"solid\", line_width=\"2\", layer=-5)\n", + "# sp.add_path([\"A\", \"B\"], color=\"green\", style=\"solid\", line_width=\"2\", layer=-5)\n", "\n", "x = np.arange(0, 2 * np.pi, 0.01)\n", "y = np.sin(x)\n", @@ -47,7 +55,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2", + "id": "3", "metadata": {}, "outputs": [], "source": [] @@ -55,7 +63,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "env_maxplotlib", "language": "python", "name": "python3" }, diff --git a/tutorials/tutorial_06.ipynb b/tutorials/tutorial_06.ipynb index d2ebb7a..1278e25 100644 --- a/tutorials/tutorial_06.ipynb +++ b/tutorials/tutorial_06.ipynb @@ -1,9 +1,17 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Tutorial 6" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "0", + "id": "1", "metadata": {}, "outputs": [], "source": [ @@ -18,7 +26,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1", + "id": "2", "metadata": {}, "outputs": [], "source": [ @@ -34,7 +42,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2", + "id": "3", "metadata": {}, "outputs": [], "source": [] @@ -42,7 +50,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "env_maxplotlib", "language": "python", "name": "python3" }, From 6065159881c0070b831068af5d43f52f85a3353b Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 11:50:14 +0200 Subject: [PATCH 10/19] moved docs to new workflow --- .github/workflows/ci_pipeline.yml | 23 +++--------------- .github/workflows/docs.yml | 39 +++++++++++++++++++++++++++++++ 2 files changed, 42 insertions(+), 20 deletions(-) create mode 100644 .github/workflows/docs.yml diff --git a/.github/workflows/ci_pipeline.yml b/.github/workflows/ci_pipeline.yml index 7a3fa92..eac2f16 100644 --- a/.github/workflows/ci_pipeline.yml +++ b/.github/workflows/ci_pipeline.yml @@ -28,7 +28,7 @@ jobs: - name: Install python dependencies run: | python -m pip install --upgrade pip - pip install ".[test]" + pip install ".[dev]" - name: Inspect maxplotlib arguments run: | @@ -38,24 +38,7 @@ jobs: run: | coverage run -m pytest . coverage report --sort=cover - build_docs: - runs-on: ubuntu-latest - steps: - - name: Check out the code - uses: actions/checkout@v3 - - - name: Install python dependencies - run: | - python -m pip install --upgrade pip - pip install ".[docs]" - - name: Build Sphinx documentation + - name: Test tutorials run: | - cd docs/ - make html - - - name: Upload built docs as artifact - uses: actions/upload-artifact@v4 - with: - name: html-docs - path: docs/build/html/ \ No newline at end of file + jupyter nbconvert --to notebook --execute tutorials/*.ipynb --output-dir=/tmp --ExecutePreprocessor.timeout=300 diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml new file mode 100644 index 0000000..0c23275 --- /dev/null +++ b/.github/workflows/docs.yml @@ -0,0 +1,39 @@ +name: Build docs + +on: + push: + branches: + - main + - devel + pull_request: + branches: + - main + - devel + +jobs: + build_docs: + runs-on: ubuntu-latest + steps: + - name: Check out the code + uses: actions/checkout@v3 + + - name: Install Pandoc + run: | + sudo apt-get update + sudo apt-get install -y pandoc + + - name: Install python dependencies + run: | + python -m pip install --upgrade pip + pip install ".[docs]" + + - name: Build Sphinx documentation + run: | + cd docs/ + make html + + - name: Upload built docs as artifact + uses: actions/upload-artifact@v4 + with: + name: html-docs + path: docs/build/html/ \ No newline at end of file From 61f6b5df5300bcf8e9a20c2ea6869a09f350d0aa Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 11:55:58 +0200 Subject: [PATCH 11/19] Commented out compile_pdf --- tutorials/tutorial_02.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tutorials/tutorial_02.ipynb b/tutorials/tutorial_02.ipynb index 969d242..d4cf6f5 100644 --- a/tutorials/tutorial_02.ipynb +++ b/tutorials/tutorial_02.ipynb @@ -50,7 +50,7 @@ "\n", "tikz.add_node(0.5, 0.5, content=\"Cube\", layer=10)\n", "\n", - "tikz.compile_pdf(\"tutorial_02_01.pdf\")\n", + "#tikz.compile_pdf(\"tutorial_02_01.pdf\")\n", "#" ] }, @@ -99,7 +99,7 @@ "# Generate the TikZ script\n", "# print(tikz.generate_standalone())\n", "\n", - "tikz.compile_pdf(\"tutorial_02_02.pdf\")\n", + "#tikz.compile_pdf(\"tutorial_02_02.pdf\")\n", "\n", "c.plot(backend=\"matplotlib\")" ] @@ -126,7 +126,7 @@ "# script = tikz.generate_tikz()\n", "# print(script)\n", "print(tikz.generate_standalone())\n", - "tikz.compile_pdf(\"tutorial_02_03.pdf\")\n" + "#tikz.compile_pdf(\"tutorial_02_03.pdf\")\n" ] } ], From d9949fbd445a2c071bbdc0241ae12bed28c4a2bb Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 11:57:31 +0200 Subject: [PATCH 12/19] Formatting --- docs/source/conf.py | 24 +++++++++++++----------- src/maxplotlib/canvas/canvas.py | 2 +- src/maxplotlib/subfigure/line_plot.py | 2 +- 3 files changed, 15 insertions(+), 13 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 5d395b5..03dcf32 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -3,8 +3,9 @@ # For the full list of built-in configuration values, see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html -import shutil import os +import shutil + def copy_tutorials(app): src = os.path.abspath("../tutorials") @@ -16,32 +17,33 @@ def copy_tutorials(app): shutil.copytree(src, dst) + def setup(app): app.connect("builder-inited", copy_tutorials) + # -- Project information ----------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information -project = 'maxplotlib' -copyright = '2025, Max Lindqvist' -author = 'Max Lindqvist' +project = "maxplotlib" +copyright = "2025, Max Lindqvist" +author = "Max Lindqvist" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration extensions = [ - 'nbsphinx', - 'sphinx.ext.mathjax', - 'sphinx.ext.autodoc', + "nbsphinx", + "sphinx.ext.mathjax", + "sphinx.ext.autodoc", ] -templates_path = ['_templates'] +templates_path = ["_templates"] exclude_patterns = [] - # -- Options for HTML output ------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output -html_theme = 'sphinx_rtd_theme' -html_static_path = ['_static'] +html_theme = "sphinx_rtd_theme" +html_static_path = ["_static"] diff --git a/src/maxplotlib/canvas/canvas.py b/src/maxplotlib/canvas/canvas.py index d3864ab..0885184 100644 --- a/src/maxplotlib/canvas/canvas.py +++ b/src/maxplotlib/canvas/canvas.py @@ -205,7 +205,7 @@ def plot_matplotlib(self, show=True, savefig=False, layers=None, usetex=False): for (row, col), subplot in self.subplots.items(): ax = axes[row][col] - print(f"{subplot = }") + # print(f"{subplot = }") subplot.plot_matplotlib(ax, layers=layers) # ax.set_title(f"Subplot ({row}, {col})") ax.grid() diff --git a/src/maxplotlib/subfigure/line_plot.py b/src/maxplotlib/subfigure/line_plot.py index b215893..dcea414 100644 --- a/src/maxplotlib/subfigure/line_plot.py +++ b/src/maxplotlib/subfigure/line_plot.py @@ -247,7 +247,7 @@ def add_node(self, x, y, label=None, content="", layer=0, **kwargs): if layer in self.layers: self.layers[layer].add(node) else: - print(f"{self.layers = } {layer = }") + # print(f"{self.layers = } {layer = }") self.layers[layer] = Tikzlayer(layer) self.layers[layer].add(node) self._node_counter += 1 From 17b5d76cfc8e96610d0c1b1c27ed762c24db7e34 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 11:58:45 +0200 Subject: [PATCH 13/19] formatting --- tutorials/tutorial_01.ipynb | 2 +- tutorials/tutorial_02.ipynb | 6 +++--- tutorials/tutorial_04.ipynb | 2 +- tutorials/tutorial_05.ipynb | 1 + 4 files changed, 6 insertions(+), 5 deletions(-) diff --git a/tutorials/tutorial_01.ipynb b/tutorials/tutorial_01.ipynb index e0854d3..77360d9 100644 --- a/tutorials/tutorial_01.ipynb +++ b/tutorials/tutorial_01.ipynb @@ -36,7 +36,7 @@ "sp.add_line([0, 1, 2, 3], [0, 1, 4, 9], label=\"Line 1\")\n", "sp.add_line([0, 1, 2, 3], [0, 2, 3, 4], linestyle=\"dashed\", color=\"red\", label=\"Line 2\")\n", "c.plot()\n", - "c.savefig(filename='tutorial_01_01.pdf')" + "c.savefig(filename=\"tutorial_01_01.pdf\")" ] }, { diff --git a/tutorials/tutorial_02.ipynb b/tutorials/tutorial_02.ipynb index d4cf6f5..8674141 100644 --- a/tutorials/tutorial_02.ipynb +++ b/tutorials/tutorial_02.ipynb @@ -50,7 +50,7 @@ "\n", "tikz.add_node(0.5, 0.5, content=\"Cube\", layer=10)\n", "\n", - "#tikz.compile_pdf(\"tutorial_02_01.pdf\")\n", + "# tikz.compile_pdf(\"tutorial_02_01.pdf\")\n", "#" ] }, @@ -99,7 +99,7 @@ "# Generate the TikZ script\n", "# print(tikz.generate_standalone())\n", "\n", - "#tikz.compile_pdf(\"tutorial_02_02.pdf\")\n", + "# tikz.compile_pdf(\"tutorial_02_02.pdf\")\n", "\n", "c.plot(backend=\"matplotlib\")" ] @@ -126,7 +126,7 @@ "# script = tikz.generate_tikz()\n", "# print(script)\n", "print(tikz.generate_standalone())\n", - "#tikz.compile_pdf(\"tutorial_02_03.pdf\")\n" + "# tikz.compile_pdf(\"tutorial_02_03.pdf\")" ] } ], diff --git a/tutorials/tutorial_04.ipynb b/tutorials/tutorial_04.ipynb index a874353..964cf55 100644 --- a/tutorials/tutorial_04.ipynb +++ b/tutorials/tutorial_04.ipynb @@ -128,7 +128,7 @@ "script = tikz.generate_tikz()\n", "print(script)\n", "# print(tikz.generate_standalone())\n", - "#tikz.compile_pdf(\"tutorial_04_01.pdf\")\n", + "# tikz.compile_pdf(\"tutorial_04_01.pdf\")\n", "#" ] } diff --git a/tutorials/tutorial_05.ipynb b/tutorials/tutorial_05.ipynb index 9129495..959e4ba 100644 --- a/tutorials/tutorial_05.ipynb +++ b/tutorials/tutorial_05.ipynb @@ -18,6 +18,7 @@ "import numpy as np\n", "\n", "import maxplotlib.canvas.canvas as canvas\n", + "\n", "%load_ext autoreload\n", "%autoreload 2" ] From ded5c6b8b4a1365cca2dfa062fb0f03b8c6db53e Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 12:02:07 +0200 Subject: [PATCH 14/19] Added deployment --- .github/workflows/docs.yml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 0c23275..78cecb0 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -36,4 +36,10 @@ jobs: uses: actions/upload-artifact@v4 with: name: html-docs - path: docs/build/html/ \ No newline at end of file + path: docs/build/html/ + + - name: Deploy to GitHub Pages + uses: peaceiris/actions-gh-pages@v4 + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: ./docs/build/html \ No newline at end of file From d7a04fb9202b8829afeb663aa30f386bacbc3d2a Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 12:03:03 +0200 Subject: [PATCH 15/19] fix --- .github/workflows/docs.yml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 78cecb0..8b9c0b8 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -32,11 +32,11 @@ jobs: cd docs/ make html - - name: Upload built docs as artifact - uses: actions/upload-artifact@v4 - with: - name: html-docs - path: docs/build/html/ + # - name: Upload built docs as artifact + # uses: actions/upload-artifact@v4 + # with: + # name: html-docs + # path: docs/build/html/ - name: Deploy to GitHub Pages uses: peaceiris/actions-gh-pages@v4 From caf4b77660ecd0c2dcd687cefcad213f1226a94e Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 12:09:41 +0200 Subject: [PATCH 16/19] Try using the gh template --- .github/workflows/docs.yml | 47 ++++++++++++++++++++++++++------------ 1 file changed, 33 insertions(+), 14 deletions(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 8b9c0b8..91e112c 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -10,13 +10,31 @@ on: - main - devel + # Allows you to run this workflow manually from the Actions tab + workflow_dispatch: + +# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages +permissions: + contents: read + pages: write + id-token: write + +# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. +# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. +concurrency: + group: "pages" + cancel-in-progress: false + jobs: - build_docs: + deploy_docs: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} runs-on: ubuntu-latest steps: - - name: Check out the code - uses: actions/checkout@v3 - + - name: Checkout + uses: actions/checkout@v4 + - name: Install Pandoc run: | sudo apt-get update @@ -32,14 +50,15 @@ jobs: cd docs/ make html - # - name: Upload built docs as artifact - # uses: actions/upload-artifact@v4 - # with: - # name: html-docs - # path: docs/build/html/ - - - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v4 + - name: Setup Pages + uses: actions/configure-pages@v5 + + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 with: - github_token: ${{ secrets.GITHUB_TOKEN }} - publish_dir: ./docs/build/html \ No newline at end of file + # Upload entire repository + path: ./docs/build/html/ + + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 From 9683f5ebb0ce13d09044ef0abbdfbbf15a2d24e2 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 12:11:07 +0200 Subject: [PATCH 17/19] bugfix --- .github/workflows/docs.yml | 35 ++++++++++++----------------------- 1 file changed, 12 insertions(+), 23 deletions(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 91e112c..5c9d160 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -1,63 +1,52 @@ -name: Build docs +name: Deploy docs to GitHub Pages on: push: - branches: - - main - - devel - pull_request: - branches: - - main - - devel - - # Allows you to run this workflow manually from the Actions tab + branches: ["devel"] workflow_dispatch: -# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages permissions: contents: read pages: write id-token: write -# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. -# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. concurrency: group: "pages" cancel-in-progress: false jobs: - deploy_docs: + build-and-deploy: + runs-on: ubuntu-latest environment: name: github-pages url: ${{ steps.deployment.outputs.page_url }} - runs-on: ubuntu-latest + steps: - name: Checkout uses: actions/checkout@v4 - - name: Install Pandoc + - name: Install pandoc run: | sudo apt-get update sudo apt-get install -y pandoc - - name: Install python dependencies + - name: Install Python dependencies run: | python -m pip install --upgrade pip pip install ".[docs]" - - - name: Build Sphinx documentation + + - name: Build Sphinx docs run: | - cd docs/ + cd docs make html - name: Setup Pages uses: actions/configure-pages@v5 - - name: Upload artifact + - name: Upload built docs uses: actions/upload-pages-artifact@v3 with: - # Upload entire repository - path: ./docs/build/html/ + path: docs/build/html/ - name: Deploy to GitHub Pages id: deployment From da6bfdb9fd58ed63c617efb879e2bb4746942709 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 12:11:46 +0200 Subject: [PATCH 18/19] build on push to 13-create-a-gallery --- .github/workflows/docs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 5c9d160..5a3e8b7 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -2,7 +2,7 @@ name: Deploy docs to GitHub Pages on: push: - branches: ["devel"] + branches: ["devel", "13-create-a-gallery"] workflow_dispatch: permissions: From b38af388be2daf45fbcb0934d4e697ae73e933d5 Mon Sep 17 00:00:00 2001 From: Max Date: Sun, 22 Jun 2025 12:27:10 +0200 Subject: [PATCH 19/19] removed temp branch from docs.yml --- .github/workflows/docs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 5a3e8b7..c59b8ea 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -2,7 +2,7 @@ name: Deploy docs to GitHub Pages on: push: - branches: ["devel", "13-create-a-gallery"] + branches: ["devel", "main"] # TODO: Set to main only after release workflow_dispatch: permissions: