From 727b6f2df647bb5a3b8c7bc9db5d7c7762b5689a Mon Sep 17 00:00:00 2001 From: lkmklsmn Date: Wed, 1 Mar 2017 14:38:56 +0100 Subject: [PATCH 01/21] Respect user arguments to pip install Calling pip as subprocess wopuld ignore e.g. --user --- setup.py | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/setup.py b/setup.py index 597a089b..86b1288b 100644 --- a/setup.py +++ b/setup.py @@ -1,7 +1,6 @@ import os import sys import shutil -from subprocess import call from setuptools import setup from warnings import warn @@ -9,10 +8,6 @@ raise RuntimeError('Magic requires Python 3') -# install phenograph -call(['pip3', 'install', 'git+https://github.com/jacoblevine/phenograph.git']) - - setup(name='magic', version='0.0', description='MAGIC', @@ -29,7 +24,11 @@ 'sklearn', 'networkx', 'fcsparser', - 'statsmodels'], + 'statsmodels', + ], + dependency_links = [ + 'git+https://github.com/jacoblevine/phenograph.git', + ], scripts=['src/magic/magic_gui.py'], ) From 2cb93afb11c6dd0365b7f2f44453480e4b696ca9 Mon Sep 17 00:00:00 2001 From: Pooja Kathail Date: Thu, 2 Mar 2017 01:14:14 -0500 Subject: [PATCH 02/21] add save plot functionality and more scatter plot modularization --- src/magic/magic_gui.py | 83 +++++++++++--------------- src/magic/mg.py | 131 ++++++++++++++++++++++------------------- 2 files changed, 108 insertions(+), 106 deletions(-) diff --git a/src/magic/magic_gui.py b/src/magic/magic_gui.py index 12d58d9a..5898957e 100755 --- a/src/magic/magic_gui.py +++ b/src/magic/magic_gui.py @@ -536,7 +536,7 @@ def runDM(self): def _runDM(self): for key in self.data_list.selection(): name = self.data_list.item(key)['text'].split(' (')[0] - self.data[name]['scdata'].run_diffusion_map(n_diffusion_components=self.ncompVar.get(), epsilon=self.epsilonVar.get(), + self.data[name]['scdata'].run_diffusion_map(n_diffusion_components=self.nCompVar.get(), epsilon=self.epsilonVar.get(), knn=self.kNNVar.get(), knn_autotune=self.autotuneVar.get()) self.data_list.insert(key, 'end', text=name + ' Diffusion components' + ' (' + str(self.data[name]['scdata'].diffusion_eigenvectors.shape[0]) + @@ -669,15 +669,15 @@ def plotTSNE(self): self.ax.set_ylabel('tSNE2') gs.tight_layout(self.fig) - self.tabs.append(tk.Frame(self.notebook)) - self.notebook.add(self.tabs[len(self.tabs)-1], text=self.plotNameVar.get()) + self.tabs.append([tk.Frame(self.notebook), self.fig]) + self.notebook.add(self.tabs[len(self.tabs)-1][0], text=self.plotNameVar.get()) - self.canvas = FigureCanvasTkAgg(self.fig, self.tabs[len(self.tabs)-1]) + self.canvas = FigureCanvasTkAgg(self.fig, self.tabs[len(self.tabs)-1][0]) self.canvas.show() self.canvas.get_tk_widget().grid(column=1, row=1, rowspan=10, columnspan=4) - tk.Button(self.tabs[len(self.tabs)-1], text="Save", command=self.savePlot).grid(row=0, column=5, sticky='NE') - tk.Button(self.tabs[len(self.tabs)-1], text="Close tab", command=self.closeCurrentTab).grid(row=1, column=5, sticky='NE') + tk.Button(self.tabs[len(self.tabs)-1][0], text="Save", command=self.savePlot).grid(row=0, column=5, sticky='NE') + tk.Button(self.tabs[len(self.tabs)-1][0], text="Close tab", command=self.closeCurrentTab).grid(row=1, column=5, sticky='NE') self.currentPlot = 'tsne' def plotDM(self): @@ -698,15 +698,15 @@ def plotDM(self): for i in range(len(keys)): plt.figtext(-0.05, 0.75 - (0.5*i), self.data_list.item(keys[i])['text'].split(' (')[0], rotation='vertical') - self.tabs.append(tk.Frame(self.notebook)) - self.notebook.add(self.tabs[len(self.tabs)-1], text=self.plotNameVar.get()) + self.tabs.append([tk.Frame(self.notebook), self.fig]) + self.notebook.add(self.tabs[len(self.tabs)-1][0], text=self.plotNameVar.get()) - self.canvas = FigureCanvasTkAgg(self.fig, self.tabs[len(self.tabs)-1]) + self.canvas = FigureCanvasTkAgg(self.fig, self.tabs[len(self.tabs)-1][0]) self.canvas.show() self.canvas.get_tk_widget().grid(column=1, row=1, rowspan=10, columnspan=4) - tk.Button(self.tabs[len(self.tabs)-1], text="Save", command=self.savePlot).grid(row=0, column=5) - tk.Button(self.tabs[len(self.tabs)-1], text="Close tab", command=self.closeCurrentTab).grid(row=1, column=5) + tk.Button(self.tabs[len(self.tabs)-1][0], text="Save", command=self.savePlot).grid(row=0, column=5) + tk.Button(self.tabs[len(self.tabs)-1][0], text="Close tab", command=self.closeCurrentTab).grid(row=1, column=5) self.currentPlot = 'dm_components' @@ -738,6 +738,7 @@ def scatterPlot(self): magic = True for j in range(len(xSelection)): + if len(zSelection[0]) > 0 and len(zSelection) == len(xSelection): self.ax.append(self.fig.add_subplot(gs[i, j], projection='3d')) genes = [xSelection[j], ySelection[j], zSelection[j]] @@ -745,38 +746,23 @@ def scatterPlot(self): self.ax.append(self.fig.add_subplot(gs[i, j])) genes = [xSelection[j], ySelection[j]] - if 'PC' in colorSelection[j]: - color = int(colorSelection[j].split('PC')[1]) - if magic: - self.data[name]['scdata'].magic.scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].pca[color]) - else: - self.data[name]['scdata'].scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].pca[color]) - - elif 'DC' in colorSelection[j]: - color = int(colorSelection[j].split('DC')[1]) + if colorSelection[j] in self.data[name]['scdata'].extended_data.columns: if magic: self.data[name]['scdata'].magic.scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].diffusion_eigenvectors[color]) + color=self.data[name]['scdata'].magic.extended_data[colorSelection[j]]) else: self.data[name]['scdata'].scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].diffusion_eigenvectors[color]) - elif 'magic' in colorSelection[j]: - color = self.colorSelection[j].split(' magic')[0] - if magic: - self.data[name]['scdata'].magic.scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].magic.data[color]) - else: - self.data[name]['scdata'].scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].magic.data[color]) - elif colorSelection[j] in self.data[name]['scdata'].data.columns: - if magic: - self.data[name]['scdata'].magic.scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].magic.data[colorSelection[j]]) - else: - self.data[name]['scdata'].scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], - color=self.data[name]['scdata'].data[colorSelection[j]]) + color=self.data[name]['scdata'].extended_data[colorSelection[j]]) + elif 'MAGIC' in colorSelection[j]: + color = self.colorSelection[j].split('MAGIC.')[0] + if color in self.data[name]['scdata'].magic.extended_data.columns: + if magic: + self.data[name]['scdata'].magic.scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], + color=self.data[name]['scdata'].magic.extended_data[color]) + else: + self.data[name]['scdata'].scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], + color=self.data[name]['scdata'].magic.extended_data[color]) + elif colorSelection[j] == 'density': if magic: self.data[name]['scdata'].magic.scatter_gene_expression(genes, fig=self.fig, ax=self.ax[len(self.ax)-1], @@ -802,15 +788,15 @@ def scatterPlot(self): gs.tight_layout(self.fig, pad=1.2, w_pad=0.1) - self.tabs.append(tk.Frame(self.notebook)) - self.notebook.add(self.tabs[len(self.tabs)-1], text=self.plotNameVar.get()) + self.tabs.append([tk.Frame(self.notebook), self.fig]) + self.notebook.add(self.tabs[len(self.tabs)-1][0], text=self.plotNameVar.get()) - self.canvas = FigureCanvasTkAgg(self.fig, self.tabs[len(self.tabs)-1]) + self.canvas = FigureCanvasTkAgg(self.fig, self.tabs[len(self.tabs)-1][0]) self.canvas.show() self.canvas.get_tk_widget().grid(column=1, row=1, rowspan=10, columnspan=4) - tk.Button(self.tabs[len(self.tabs)-1], text="Save", command=self.savePlot).grid(row=0, column=5) - tk.Button(self.tabs[len(self.tabs)-1], text="Close tab", command=self.closeCurrentTab).grid(row=1, column=5) + tk.Button(self.tabs[len(self.tabs)-1][0], text="Save", command=self.savePlot).grid(row=0, column=5) + tk.Button(self.tabs[len(self.tabs)-1][0], text="Close tab", command=self.closeCurrentTab).grid(row=1, column=5) if len(zSelection[0]) > 0 and len(zSelection) == len(xSelection): for ax in self.ax: @@ -867,10 +853,13 @@ def _cancelScatter(self): self.scatterSelection.destroy() def savePlot(self): - # self.plotFileName = filedialog.asksaveasfilename(title='Save Plot', defaultextension='.png', initialfile=self.fileNameEntryVar.get()+"_"+self.currentPlot) - # if self.plotFileName != None: - # self.fig.savefig(self.plotFileName) tab = self.notebook.index(self.notebook.select()) + default_name = self.notebook.tab(self.notebook.select(), "text") + + self.plotFileName = filedialog.asksaveasfilename(title='Save Plot', defaultextension='.png', + initialfile=default_name) + if self.plotFileName != None: + self.tabs[tab][1].savefig(self.plotFileName) def closeCurrentTab(self): tab = self.notebook.index(self.notebook.select()) diff --git a/src/magic/mg.py b/src/magic/mg.py index e1b170a2..0fec9407 100644 --- a/src/magic/mg.py +++ b/src/magic/mg.py @@ -99,6 +99,7 @@ def __init__(self, data, data_type='sc-seq', metadata=None): if metadata is None: metadata = pd.DataFrame(index=data.index, dtype='O') self._data = data + self._extended_data = data self._metadata = metadata self._data_type = data_type self._normalized = False @@ -162,6 +163,16 @@ def data(self, item): raise TypeError('SCData.data must be of type DataFrame') self._data = item + @property + def extended_data(self): + return self._extended_data + + @extended_data.setter + def extended_data(self, item): + if not (isinstance(item, pd.DataFrame)): + raise TypeError('SCData.extended_data must be of type DataFrame') + self._extended_data = item + @property def metadata(self): return self._metadata @@ -272,7 +283,7 @@ def from_csv(cls, counts_csv_file, data_type, cell_axis=0, scdata = cls( df, data_type=data_type ) # Normalize if specified - if data_type == 'sc-seq': + if normalize==True: scdata = scdata.normalize_scseq_data( ) return scdata @@ -334,20 +345,22 @@ def from_mtx(cls, mtx_file, gene_name_file): def filter_scseq_data(self, filter_cell_min=0, filter_cell_max=0, filter_gene_nonzero=None, filter_gene_mols=None): if filter_cell_min != filter_cell_max: - sums = scdata.data.sum(axis=1) + sums = self.data.sum(axis=1) to_keep = np.intersect1d(np.where(sums >= filter_cell_min)[0], np.where(sums <= filter_cell_max)[0]) - scdata.data = scdata.data.ix[scdata.data.index[to_keep], :].astype(np.float32) + self.data = self.data.ix[self.data.index[to_keep], :].astype(np.float32) if filter_gene_nonzero != None: - nonzero = scdata.data.astype(bool).sum(axis=0) + nonzero = self.data.astype(bool).sum(axis=0) to_keep = np.where(nonzero >= filter_gene_nonzero)[0] - scdata.data = scdata.data.ix[:, to_keep].astype(np.float32) + self.data = self.data.ix[:, to_keep].astype(np.float32) if filter_gene_mols != None: - sums = scdata.data.sum(axis=0) + sums = self.data.sum(axis=0) to_keep = np.where(sums >= filter_gene_mols)[0] - scdata.data = scdata.data.ix[:, to_keep].astype(np.float32) + self.data = self.data.ix[:, to_keep].astype(np.float32) + + self.extended_data = self.data def normalize_scseq_data(self): @@ -366,6 +379,7 @@ def normalize_scseq_data(self): # check that none of the genes are empty; if so remove them nonzero_genes = scdata.data.sum(axis=0) != 0 scdata.data = scdata.data.ix[:, nonzero_genes].astype(np.float32) + scdata._extended_data = scdata.data # set unnormalized_cell_sums self.library_sizes = molecule_counts @@ -376,6 +390,7 @@ def normalize_scseq_data(self): def log_transform_scseq_data(self, pseudocount=0.1): scdata.data = np.add(np.log(scdata.data), pseudocount) + scdata.extended_data = scdata.data def plot_molecules_per_cell_and_gene(self, fig=None, ax=None): @@ -417,29 +432,31 @@ def run_pca(self, n_components=100, random=True): solver = 'full' pca = PCA(n_components=n_components, svd_solver=solver) - self.pca = pd.DataFrame(data=pca.fit_transform(self.data.values), index=self.data.index) - - - def plot_pca_variance_explained(self, n_components=30, - fig=None, ax=None, ylim=(0, 0.1)): - """ Plot the variance explained by different principal components - :param n_components: Number of components to show the variance - :param ylim: y-axis limits - :param fig: matplotlib Figure object - :param ax: matplotlib Axis object - :return: fig, ax - """ - if self.pca is None: - raise RuntimeError('Please run run_pca() before plotting') - - fig, ax = get_fig(fig=fig, ax=ax) - ax.plot(np.ravel(self.pca['eigenvalues'].values)) - plt.ylim(ylim) - plt.xlim((0, n_components)) - plt.xlabel('Components') - plt.ylabel('Variance explained') - plt.title('Principal components') - return fig, ax + self.pca = pd.DataFrame(data=pca.fit_transform(self.data.values), index=self.data.index, + columns=['PC' + str(i) for i in range(1, n_components+1)]) + self.extended_data = pd.concat([self.extended_data, self.pca], axis=1) + + + # def plot_pca_variance_explained(self, n_components=30, + # fig=None, ax=None, ylim=(0, 0.1)): + # """ Plot the variance explained by different principal components + # :param n_components: Number of components to show the variance + # :param ylim: y-axis limits + # :param fig: matplotlib Figure object + # :param ax: matplotlib Axis object + # :return: fig, ax + # """ + # if self.pca is None: + # raise RuntimeError('Please run run_pca() before plotting') + + # fig, ax = get_fig(fig=fig, ax=ax) + # ax.plot(np.ravel(self.pca['eigenvalues'].values)) + # plt.ylim(ylim) + # plt.xlim((0, n_components)) + # plt.xlabel('Components') + # plt.ylabel('Variance explained') + # plt.title('Principal components') + # return fig, ax def run_tsne(self, n_components=50, perplexity=30, n_iter=1000, theta=0.5): @@ -463,7 +480,9 @@ def run_tsne(self, n_components=50, perplexity=30, n_iter=1000, theta=0.5): print('Reducing perplexity to %d since there are <100 cells in the dataset. ' % perplexity_limit) tsne = TSNE(n_components=2, perplexity=perplexity, init='random', random_state=sum(data.shape), n_iter=n_iter, angle=theta) self.tsne = pd.DataFrame(tsne.fit_transform(data), - index=self.data.index, columns=['x', 'y']) + index=self.data.index, columns=['tSNE1', 'tSNE2']) + self.extended_data = pd.concat([self.extended_data, self.tsne], axis=1) + def plot_tsne(self, fig=None, ax=None, density=False, color=None, title='tSNE projection'): """Plot tSNE projections of the data @@ -689,8 +708,10 @@ def run_diffusion_map(self, knn=10, epsilon=1, distance_metric='euclidean', V = np.round(V, 10) # Update object - self.diffusion_eigenvectors = pd.DataFrame(V, index=self.data.index) + self.diffusion_eigenvectors = pd.DataFrame(V, index=self.data.index, + columns=['DC'+str(i) for i in range()]) self.diffusion_eigenvalues = pd.DataFrame(D) + self.extended_data = pd.concat([self.extended_data, self.diffusion_eigenvectors], axis=1) def plot_diffusion_components(self, other_data=None, title='Diffusion Components'): @@ -844,7 +865,7 @@ def plot_gene_expression(self, genes, other_data=None): :param genes: Iterable of strings to plot on tSNE """ if not isinstance(genes, dict): - not_in_dataframe = set(genes).difference(self.data.columns) + not_in_dataframe = set(genes).difference(self.extended_data.columns) if not_in_dataframe: if len(not_in_dataframe) < len(genes): print('The following genes were either not observed in the experiment, ' @@ -852,10 +873,7 @@ def plot_gene_expression(self, genes, other_data=None): else: print('None of the listed genes were observed in the experiment, or the ' 'wrong symbols were used.') - return - - # remove genes missing from experiment - genes = set(genes).difference(not_in_dataframe) + return height = int(2 * np.ceil(len(genes) / 5)) width = 10 if len(genes) >= 5 else 2*len(genes) @@ -876,14 +894,14 @@ def plot_gene_expression(self, genes, other_data=None): if isinstance(genes, dict): color = np.arcsinh(genes[g]) else: - color = np.arcsinh(self.data[g]) + color = np.arcsinh(self.extended_data[g]) plt.scatter(self.tsne['x'], self.tsne['y'], c=color, edgecolors='none', s=size) else: if isinstance(genes, dict): color = genes[g] else: - color = self.data[g] + color = self.extended_data[g] plt.scatter(self.tsne['x'], self.tsne['y'], c=color, edgecolors='none', s=size) ax.set_title(g) @@ -898,14 +916,14 @@ def plot_gene_expression(self, genes, other_data=None): if isinstance(genes, dict): color = np.arcsinh(genes[g]) else: - color = np.arcsinh(other_data.data[g]) + color = np.arcsinh(other_data.extended_data[g]) plt.scatter(other_data.tsne['x'], other_data.tsne['y'], c=color, edgecolors='none', s=size) else: if isinstance(genes, dict): color = genes[g] else: - color = other_data.data[g] + color = other_data.extended_data[g] plt.scatter(other_data.tsne['x'], other_data.tsne['y'], c=color, edgecolors='none', s=size) ax.set_title(g) @@ -921,7 +939,7 @@ def scatter_gene_expression(self, genes, density=False, color=None, fig=None, ax :param genes: Iterable of strings to scatter """ - not_in_dataframe = set(genes).difference(self.data.columns) + not_in_dataframe = set(genes).difference(self.extended_data.columns) if not_in_dataframe: if len(not_in_dataframe) < len(genes): print('The following genes were either not observed in the experiment, ' @@ -929,10 +947,7 @@ def scatter_gene_expression(self, genes, density=False, color=None, fig=None, ax else: print('None of the listed genes were observed in the experiment, or the ' 'wrong symbols were used.') - return - - # remove genes missing from experiment - # genes = list(set(genes).difference(not_in_dataframe)) + return if len(genes) < 2 or len(genes) > 3: raise RuntimeError('Please specify either 2 or 3 genes to scatter.') @@ -955,11 +970,11 @@ def scatter_gene_expression(self, genes, density=False, color=None, fig=None, ax plt.scatter(x, y, s=size, c=z, edgecolors='none') elif isinstance(color, pd.Series): - plt.scatter(self.data[genes[0]], self.data[genes[1]], + plt.scatter(self.extended_data[genes[0]], self.extended_data[genes[1]], s=size, c=color, edgecolors='none') else: - plt.scatter(self.data[genes[0]], self.data[genes[1]], edgecolors='none', + plt.scatter(self.extended_data[genes[0]], self.extended_data[genes[1]], edgecolors='none', s=size, color=qualitative_colors(2)[1] if color == None else color) ax.set_xlabel(genes[0]) ax.set_ylabel(genes[1]) @@ -977,23 +992,24 @@ def scatter_gene_expression(self, genes, density=False, color=None, fig=None, ax s=size, c=density, edgecolors='none') elif isinstance(color, pd.Series): - ax.scatter(self.data[genes[0]], self.data[genes[1]], self.data[genes[2]], - s=size, c=color, edgecolors='none') + ax.scatter(self.extended_data[genes[0]], self.extended_data[genes[1]], + self.extended_data[genes[2]], s=size, c=color, edgecolors='none') else: - ax.scatter(self.data[genes[0]], self.data[genes[1]], self.data[genes[2]], edgecolors='none', - s=size, color=qualitative_colors(2)[1] if color == None else color) + ax.scatter(self.extended_data[genes[0]], self.extended_data[genes[1]], self.extended_data[genes[2]], + edgecolors='none', s=size, color=qualitative_colors(2)[1] if color == None else color) ax.set_xlabel(genes[0]) ax.set_ylabel(genes[1]) ax.set_zlabel(genes[2]) + ax.view_init(25,-135) return fig, ax def scatter_gene_expression_against_other_data(self, genes, other_data, density=False, color=None, fig=None, ax=None): - not_in_dataframe = set(genes).difference(self.data.columns) + not_in_dataframe = set(genes).difference(self.extended_data.columns) if not_in_dataframe: if len(not_in_dataframe) < len(genes): print('The following genes were either not observed in the experiment, ' @@ -1001,10 +1017,7 @@ def scatter_gene_expression_against_other_data(self, genes, other_data, density= else: print('None of the listed genes were observed in the experiment, or the ' 'wrong symbols were used.') - return - - # remove genes missing from experiment - genes = list(set(genes).difference(not_in_dataframe)) + return height = int(4 * np.ceil(len(genes) / 3)) width = 12 if len(genes) >= 3 else 4*len(genes) @@ -1028,9 +1041,9 @@ def scatter_gene_expression_against_other_data(self, genes, other_data, density= plt.scatter(x, y, s=size, c=z, edgecolors='none') elif isinstance(color, pd.Series): - plt.scatter(self.data[g], other_data.data[g], s=size, c=color, edgecolors='none') + plt.scatter(self.extended_data[g], other_data.extended_data[g], s=size, c=color, edgecolors='none') else: - plt.scatter(self.data[g], other_data.data[g], s=size, edgecolors='none', + plt.scatter(self.extended_data[g], other_data.extended_data[g], s=size, edgecolors='none', color=qualitative_colors(2)[1] if color == None else color) gs.tight_layout(fig, pad=3, h_pad=3, w_pad=3) From faba1bab50f75a3563872ca2cf37cecc20287494 Mon Sep 17 00:00:00 2001 From: Pooja Kathail Date: Fri, 3 Mar 2017 10:33:34 -0500 Subject: [PATCH 03/21] update notebook --- .../Magic_single_cell_RNAseq-checkpoint.ipynb | 539 ++++++++++++++++++ notebooks/Magic_single_cell_RNAseq.ipynb | 96 ++-- src/magic/mg.py | 10 +- 3 files changed, 578 insertions(+), 67 deletions(-) create mode 100644 notebooks/.ipynb_checkpoints/Magic_single_cell_RNAseq-checkpoint.ipynb diff --git a/notebooks/.ipynb_checkpoints/Magic_single_cell_RNAseq-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/Magic_single_cell_RNAseq-checkpoint.ipynb new file mode 100644 index 00000000..10afb195 --- /dev/null +++ b/notebooks/.ipynb_checkpoints/Magic_single_cell_RNAseq-checkpoint.ipynb @@ -0,0 +1,539 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

MAGIC for single cell RNA-seq

\n", + "\n", + "

Table of contents

\n", + "
\n", + "Introduction\n", + "
\n", + "Loading data\n", + "
\n", + "Data preprocessing\n", + "
\n", + "Running MAGIC\n", + "
\n", + "Visualizing MAGIC-ed data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Introduction

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This notebook details the usage of MAGIC for single cell RNA-seq data." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Loading data

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "MAGIC can read single cell RNA-seq data from a csv or sparse mtx file. The csv file contains cells in the rows and genes in the columns. First step is to import the package. The following code snippet imports the `magic` package along with other plotting related imports" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/matplotlib/__init__.py:1350: UserWarning: This call to matplotlib.use() has no effect\n", + "because the backend has already been chosen;\n", + "matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n", + "or matplotlib.backends is imported for the first time.\n", + "\n", + " warnings.warn(_use_error_msg)\n" + ] + } + ], + "source": [ + "import magic\n", + "\n", + "# Plotting and miscellaneous imports\n", + "import os\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "The data can be loaded using the `magic.mg.SCData.from_csv` or `magic.mg.SCData.from_mtx` functions. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Load single-cell RNA-seq data\n", + "scdata = magic.mg.SCData.from_csv(os.path.expanduser('~/Documents/Sophomore/Lab/wishbone/data/sdata_nn_TGFb_day_8_10.csv'),\n", + " data_type='sc-seq', normalize=False)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This will create an object of the type `magic.mg.SCData` which is the base class for the analysis." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A summary of the `scdata` object is shown below" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "SCData: 7523 cells x 28909 genes\n", + "\n", + "cluster_assignments=None\n", + "data_type=True\n", + "diffusion_eigenvalues=None\n", + "diffusion_eigenvectors=None\n", + "diffusion_map_correlations=None\n", + "extended_data=True\n", + "library_sizes=None\n", + "magic=None\n", + "metadata=True\n", + "normalized=True\n", + "pca=None\n", + "tsne=None" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scdata" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows that the data matrix contains `7523` cells and `28909` genes along with the different properties of the `magic.mg.SCData` class." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `scdata` object can also be initialized using a `pandas DataFrame`. An example is shown below
\n", + "\n", + "scdata = magic.mg.SCData(df, 'sc-seq')\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Data preprocessing

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Filter and normalize data

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first step in data processing for MAGIC is to determine the molecule per cell and molecule per gene cutoffs with which to filter the data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3.23095955575\n", + "4.40377233181\n" + ] + }, + { + "data": { + "image/png": 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/FLgjJyUrczU1NZx/9RNcetPLXPlfMwtdHClBF110EWPHjuXZZ5+lrq6Ol156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\nAVdouCmRoqaYFSkdileRIlYqTWJw9w3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wN1JAHSuN9cBvgT2R0bsaor95dYRX8GHgXaQA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\nbVhU4dH2aDPsp2izWG+0cS/vBIbFCZ1QisQ0lA+dpMqVKNG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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = scdata.plot_molecules_per_cell_and_gene()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "From these histograms, choose the appropriate cutoffs to filter the data. In this case, the data has already been filtered." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "CELL_MIN = 0\n", + "CELL_MAX = 1000000\n", + "GENE_NONZERO = None\n", + "GENE_MOLECULES = None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "scdata.filter_scseq_data(filter_cell_min=CELL_MIN, filter_cell_max=CELL_MAX, \n", + " filter_gene_nonzero=GENE_NONZERO, filter_gene_mols=GENE_MOLECULES)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we will normalize the data by dividing each cell by its molecule count and multiplying the counts of cells by the median of the molecule counts." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "scdata = scdata.normalize_scseq_data()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Saving SCData object

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `SCData` object can be saved to a pickle file and loaded using the `save` and `load` functions.\n", + "\n", + "scdata.save('scdata.p')\n", + "scdata = magic.mg.SCdata.load('scdata.p')\n", + "\n", + "\n", + "

Running MAGIC

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When running MAGIC, a number of parameters can be specified." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Autotuning distances\n", + "MAGIC: L_t = L^t\n", + "MAGIC: data_new = L_t * data\n" + ] + } + ], + "source": [ + "# MAGIC\n", + "scdata.run_magic(kernel='gaussian', n_pca_components=20, random_pca=True, t=6, knn=30, knn_autotune=10, epsilon=1, \n", + " rescale_percent=99, k_knn=100, perplexity=30)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Visualizations

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

2D scatter plot before MAGIC:

" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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fCGH+pGVmojYv2AHo1wmLiUp7HbCmveux/uGvPH4YQRevAain9Mu87F9zmPP7\nL3Mv4D47l+7lcWhEmud4VoNutShVuxguOZx4cPcht68FkRifyKV/VewcbGnUsw4j6k1iUOUxhNx6\nkCGfFWD86uFsj15J59FtAXBzd6X7hA4ULJMfkltkT+Z/FEKI50mYmaD4uASKVikMgHM2R+zs7fjr\nl3+Y0HoWvuf8X7jd5n8hkEv/XuXBnVAOrTvKtp/+ZkaXeXzRYArDa0/km49/5KseP6R+rdh4hted\nSPscfTi//zJarZaLB68Qfj+CU7vOpZjoOCo8mhUz1nPhgA/XTvlxeOOJdH+mHUv2MKTmeI5sOflK\n30W+Yp7M3jOJscsH0+azjG8VCiHeDXKb0YQkJiQyvM5E1JN+jFzyCc0/bkiRigWJjY5jbv+fAPC/\nFEh4SAR5CrszfetYcnhmQ6lUiLqdaxDsH0LTPvUNnUQ0GiD50VZaj7huXwsyTFh8cN1RytQtQauB\njTm8+SQt+jWiSssK3L52l1vqHYYu6s/3n+oX2rS0ssSzSG76FB+Ke/4cTFo/Etssad/mXPzFH0SG\nRbFswmqqt670St9LmTolUrwOf/CY62f8KVO3ONY2GTd1lhDCfEmYmYhTu88zo8tcIh9FAbB98T9Y\nWlvSfmhLStRQDMfFRMQRGx3HjfMB9Ck6hB/Pfo1n4dyMWznUcIxnkTxkzelC1lwuZM/jytm9l6je\nJvUAyV/Si+YfN+Dm5VuG51GDF/Zj8MJ+hmOedMkHqN+1JqtmbaTt5834fcqf3Lp6h1tX73D99A1K\n1iz2wvmfqNelJtsX/23ozv8mhtYcz+1rQTTuVZcvlg5K9ZiIR5HcC7iPd9m3P3xBCGF8cpvRROxf\nfdgQZKXrFOeWepcLB3z4ZcxyXLI7M2BOTyo1LcuoZYPwUvIA+vXH7ly7m+r5qrepRPGqRciZNwfl\n6pfE3in1ZVwsLCwYtnggXcZ+wOJRf7z0NmCvqZ3ZGb+ajiNbG3oguuXOSpGKhVI9fs+KQ3xU+DOy\n5XZlZ/xqun75QYr98bHxLBq+jJ9H/UFiQuJ/Xhv0s/WH338M6Hs6piYuJo4BZUfySflRrP7fppee\nUwhh/qRlZiLafNaUm5cDKVLRm8/n92X+50vY+uNuarWvCkCH4a0MC2WWrV+S3yauwd7ZnkrNUp9H\nMS4mDksrS34ZvZz187ZTqWlZZv41Ls3rLxiylGD/EAJ9bqe4DbhnxSEObThGlzHtyOPtzp4VhyhT\ntwR5i3lYLK6UAAAgAElEQVRQuXk5Lh68QsuBjWmfow/2zllYfOEbXLI9HeS8fu5W7vrdY/VXG+k2\nvv0L19276jDr520H9DP/v6zlptFo+Gr3BE7tOk+T3vVSPSYmMpaHd/Vd+9MKeyHEu0XCzEQULl+Q\n+cef3s77fP7HfPpdb8MUUs+yzWJL/697pnkun2PXGN1wKg5Z7XFzzwrA5SNqmseHBN7HNosNAJWb\nlzds1+l0fN17PkmJWk7uOEvZ+iU58ddZnNwc+fPeL8zY9iUAw2pPIDYqjtioOP754yDthz5dz6zV\nJ01YNnENTXrVTfXa3mXzY2dvi4WlBQVK5U2zxmcVqVCIIhVSbwkCZM3hwsQ/R+BzRKXDyNbpOqcQ\nwrxJmJkI9ZQf8wb8hEt2JxITk2jZv9FrP1+6ePAKsdH6Z2udR7clb3FP6nRMe2mWH4cvI8DnNhoN\n9Jr2oWG7RqMhbzFP/C8GEh+bYLgNapvFBgsL/R3qkMD75PTKhkYDtg52LywB06xvg/+cY9K7XAFW\n3lqEhYUGBxeHNI97VTXaVqZG28oZdj4hhGmTMDMRWxfuwvesv+H1jfMBKcIsPjYeGzubl57H/2IA\nXkXzULl5ObLldqXVJ01o+3nzF44Lux/Okc2nqNi4NGEh+mdQOh2E33+MpaUFV477UqpWUebsm8zM\nLvO4fT0IHTqGLupPpWblDDOATO34DepJP/IV8+TnS9++1swgTq6Or/weIYR4loSZiajfrRYndpzB\n0tqKB7cfEhEayf41h6n7YQ3++vkf5g1cTJm6xWk7uDku2Z0pWaNoivffvh7E9A+/5caFAHRa/Tg0\nx6wO9J7eBddcWQ3H+RxVcc7uzHefLObc3kt4FfWg3eDmXPr3Kq65XHDNlZUxTaZz9YQvNdpVZvL6\nL+g0qg2jG03j3s376LQ6WvRvZDifvbM9AA5Z7c1i/sRD649ha29L5TSeNQohzJOEmYko36AUa4N+\nweeoypAa4wGIjY4H4OjWU+h0Os7tu8y5fZfRaDQsPPW/FLPm7/p1H37nbqY4Z2RYFH4XAqjYSB9m\n/yw/yP96/oC1rbWh96GlpQWtBjamVK1iuLlnxTGrg6GX4KN74Wxf/DeB6h39eDUd5C6QcqXnSetG\ncHbvJVyyO3Nmz0XDApqPQsIZUWciEY8iyVPIneiIGKZsHEWeQu4kJiQSFx2XobcV02P/msPM6DIP\ngDn7Jr8wfk0IYb6ka76JKV5NYfrWMYz+/XNDp4mYyFgAsnu4AskdM/osICby6TRXNT+ognM2R7Ik\nTzn1ZAmZsU2ms3/NYUAfTgAJcQm45XKh24QOzNqp7+GYv4QXztmcAJi6ZQy9pnam9adNmDdwMRvm\nbqfd4Oa4urugnvLjYZC+p2Dg1Tsc2XyK3AVzMqrhFEY3msru3/YDcOXYNW6pdwkLeYzP0WvcvHSL\nBUN+JSYqlh4FB9HWtRdf917wFr/JF1laP/3dzcpafo8T4l0iYWYiQm49YHav+Wz6YQdVWlTA0sqS\nv37+B61Wy6XDVwEIfxBh6NRw43wAvmdvGt6vVCyEm7srMVFxnNp1Dr/zT/dt/VE/0327wc34ZG4v\n8ni7c2jDcXb8sofsHtleqKVAybx0G98e73IFsLa1RqPRcH6/D4+Cw7nrG8xPI38jPjaeoTXGMbvX\nfJZPXWeYNzEqPBqACo1KU611RbLlcTWct3TtYjy4/ZAHd0IB2LPiYIZ9fytnbmBk/clcPZH26tzV\n21Sk/fCWDPz2I0pUV9I8TghhfuTXUxPx/ac/c3z7Gf7+/QBO2Rz4qrt+LkVLays8CrkTePUOhcsX\n5OP/dcf/UgD3bz1k66JdeJcvYOhdWL5haW5evkX5RqVJiEvk/q2jAKgnfbly/DrFqhSmRtvKLJu4\nGoAcXimDLCkpiaSEJENHk3zFPFl6ZR5x0XF88/Eiw3FPnjc9mSLSOZsT07eO4WFQGE161+Xfjcc5\nvOkEfmf9eXj3Eda2ViTEJXLp8FU+HNWWKi0qcGrXWRp0r50h311kWBS/jl8FwKpZG5myMfXVszd9\nv4P1327DwkJDxcZlyFfcK0OuL4QwPgkzE/GkRQNgZWONhaUF2iQtztkc+e7IDM4f8CHIL5iQwAdE\nhkeTEJfIvlWHObDmCEUqFmLuoWl8MrcX3Sa0x9LKko+8PzOcLy4mnnN7L1GsSmHO7rlITIT+tmW9\nD592o48Mi2JQ5THcv/WQ6VvHUL5haQDc8+cEYND3ffh51B+Ua1CKht31a6nNOzydq8evU6dTdcPy\nM1qtlpld5hnWJQMMHVLO77tMUmIS07eOSfU72P3bfsIfRNBucDOsrK04s+ciC4cspXzD0nw6r3ea\n352Diz0Vm5Th7J5L1GxXJc3jbOz08zhaWFpgZSN/9IV4l8j/0Sai3/+6M7vXAopW9qbWB1VYdGY2\nMVFxFK9aBIB132zh0r/624229sld9DWg1eq4esKXxw8jcHN3xdnNiUf3wogM04djvhJeeCl5SIiL\n54+pf1K4QgG8iubh9rUglny5ihM7z9FnRld0Wi13fYMB2PDddso1KGXoneh71h/PIrmZs3cyoF9M\n08bOhkuHrnD1+HXKNSiFesKXkzvP0vrTJuQr6YXvGX9DjbYOdiSGRRETGctfv+yh1cDGL3z+S/9e\nMTxDs7a1ou1nzdg8fwcBPrcJ8LlN94kdcHZzSvW702g0zNoxHq1Waxj/lppWnzQhZ97sZMvjhod3\n7lf46QghTJ2EmYmIj00gLjqOmMhYdFodBUrl02+Pi+eLBlMN8yACYKEPmfwl85K7QE5K1SqOm/vT\nZ1OuubIybctorp26QaGy+ZjRZR7/bjgO6P/if7KETEJcAmf+voDvWX8+HNWGfMU9CfC5zfHtZ9i3\n6l/qd63F0nErWTVrI55FcvPL5bkc33aGqR2/IWe+HAT56cNPq9Nx8M+jxEbF4XvuJrfVp1NIVWtV\ngaNbThteZ/dwS/Xzu+RwxtrWmoS4BHJ46m9/Nuldj6vHr1O+Uel0jUX7ryB7okqLCi89RghhfiTM\nTMQ/fxzkwZ1QHtwJ5epJXzbM2457vhxotTp8kqei0mj0z6niIuOws7dlxM8DKVq5cKrnq9C4DJWa\nluN/H/1AbFSc/v0WT2/5lalbAp+jKglxiTx+EMHPo5aneL+9sz2PQsLZ/fsBAO7dvE9CXCLHt58h\nKTGJIL9gcuXLwb2A+5SopqCe8CXA5za+Z24Yrle4QkEqNS1nCLNP5n5EtVYVU1wnKSkJdOClePDL\npW+JjogxzHRfvXWlV14uRgjxfpLejCai5cBG5C3mQYPutTm0/hgH/zzK2jlbyJrTxXCMxvLpjys2\nOo7Tu8+j1WpTnCcyLIoehQbR2rkHZ/Zc4Mjmp7PgWyTP81i8ehEiHkWSEJeIhZUFbrmfDqruMKIV\n3x6YStWWFVg5cwMPk3sedp/Ygc3zd/LXL//gksOZnpM6scRnLqtuLaJ5v4Z8d3g6/b7uQfiD5BWt\nNfqlZFyy6ycdtrDQkM0jGwuGLOXCQf16axcO+tDaqQetnHrw74Zj5Cnkjv+FQOYNXMykdrNZNOK3\nFz6fEEKkRlpmJiLwyh0Cr9wh6MY9EuISsbSyJIdXNpp9XJ+aH1Smb4lhJCUkGTqGACyfvp6//zjI\n/OOzcMyqH4D8+6Q1BPuHAPqB1EnJXeYBw38/Cg4j2P8+ANpELaFBYZSsWZQ8hdzp97/uWFhYEOR/\nj60/7gLAyc2RZh835Kse3wPw+GEEzfs3wDaLLbYe+o4fDi4O5Cn4dEC1tY016glf2gxqyux/JmLv\nlIUFQ5Zy5dh19q78l/X3l/Lr+FXExyYAMKXDN4xY8gnf9P0xxfdSo21lStVKe500IYQAaZmZjMvJ\nY8kS4vS9AGu1r8Iy9Xuc3Zzw8M5Nm0FN8SicO8VtusT4RO5cD+LjksN5lDxrx+3kThwAPkdU4mLi\nsXOw5cPRbbC2tQYNaCwsDM/NAAqWzsfXeybxxa+DDM+d4mMT0CbqQ7PjiNa45nTh41ndsHO0RafV\nMbjai8vJ1GxXhS9XDsXGTv/sa0Py0i7l6pdCqeTN9eROIfGx+plN6nWumeL9S8auwC23/tmfpbUl\n7vlzkK+45+t+pUKI94i0zExEtwkdSEhIJCYyFo1Gw0dTO2Nppb8t+PcfB9gwbzsuOZz5cFQbnLM5\nceyv0zwKCgPg4d1QpnaYw9yD0xj0XW++vHYXl+zOqKf8AIiNiqP39C60/qQJocFhTO34DQCWVpYs\nPv81uQu58+heODO7zsPBxZ5xq4aSr5gnM3eM497NEMO6YXm83YmN1D8PCw0OI+DKbXzP+FOrQ1Vs\nbPXd3ut1rsHBP4/w78YT3PULxu/8TQqVyQ/owxdAk9yBpfWnTajZvjJjmszA/0IAtlls+fHMbMJC\nwsmVLweW1papLoEjhBDPkzAzETm9sjPq189e2H5y1zlWTFsH6Ge0H1x9HB1HtCIqLDrFcf4XA4l4\nFImHd25+uz6fB3dD6eI5ANDfJlw7ezNl6pUk+nEM9289BPSDnfN45yY06BGrvtpk6Pp/ds8lqrep\nRMXGZfhn+UEOrD1Kg261cHC2p+6HNTjx1xk6f9mOwdW+JPpxDFdPXGfQd33Y/dt+Fo/6g1z5cgD6\n8VxPAhmgx6SO7F1xiN4zuhq2ueVyZe6BKRzedJIydUvg5Ooos+gLIV6Z5tnbTe8KRVHyA/579uzB\n09O8blOF3Q/n8cNI8hb1AOCjIp9z1zcYe6csJCVpiYuOM3Shf16vqZ1TrOY8f/BStizYabilaOdg\ny2++8+ns0d/Qq7HDiFbsXLKXyLAow/sqNy/PjG1jObThOFM7zAFgyqZRhp6FZ/deJC4mnhmd5xIb\nFUcOr2z8dG4OPQsNMoxvG/XbZ+Qp5I5SqZBhHsT4uASsbawyfHb9mKhYrh6/TrGqRQyDt4UQpu/2\n7ds0aNAAoICqqjff5FzyzMyEPLoXRp9iQ+lbfCh7VhwCoELyTBy1O1Zj9O+fU6NtJQZ++5Hh2dIT\nFhYalMrehtdrZm/mtnoH6+RZL0A/U8a2n3Ybggxg3TdbiXqcspV34q8zDKkxjj+mrAX0Y9McXPRL\nvZzafZ5RDacyodVXFCitXxn6/q2H/DHtT7zLFQQga05nStcpzrRO39A+Rx98z/lzbNtp2rr0ZEDZ\nkcRExf7n9+B/KZDuBT7lsypjUoRsWia1nc2ohlMNt09NhfTEFCLzyG1GExIWEk5EaCQAc/ou5Nop\nPwYv7Eev6Z0Ns1/U+qAK8bHxdBrZmj+/2crDu/qu8zodrPt2K9/0Xcgnc3vxyxj9uLFC5fITcOkW\n2Txc+WBIK36btPqF63b98gPs7O04u+8iZ/6+AIDP0WsAFCiVlwFzelKmTgkeP4xgydgVhvc9O1B7\n28LdLLv+PdGPY/Eo7M6Jv87y8K5+dv0LB3y4cz2IhPhE/C8Gcu/mffIW8+DHocu4eyOYIQv7kcMr\nu6HFdmTzSe4F3OdewH2uHL9OpSZl//N7ezJx8ZPvwhT8NmkNK2esp/WnTRn0fR9jlyPEO09aZiak\nQKl8jPjlE0DfWWLj938BGIIsKSmJk7vO8VmVsSwa8VuKv7x16Di9+zwP7oTy3ac/G7YH+90jMSGJ\nezcfsGL6OqIfx/AsC0sLVkxfz9m9F+g5qdMLNflfDOTQumMAHN50wrAatqWVJYc3nsCrmP42bkK8\nfq7I/CW8sLaxpnLzcjT/uAF1P6xOo5516DCiFVVbVaDL2HbkLebBwqHL2DR/Byf+OkvvokNo6dCN\ni4euANCwe23yFHKnQOm8lKjx8tntJ60bQY+JHRm/eliq+5etPUrDVv9j4dJ9Lz1XRjnw51G0Wh37\n1x7JtGsK8T6TMDMxTfvUx8JK/2OxtE7Zk2/p2JV82WwG/pcCU2wvW68EufJmN7x+/GTgMmCRfI4s\nTnbU6VQNgCIVChr2504eG3Zu32WKVvamYvJM9jqNhiwF9JMMeyp5AP2yLp5FcpM1pzNJifoxa1ZW\nT/8I2TtlAfTzLAbdCGHY4oGMWzUMJ1dHchfIxbTNY+gzoyuHN55g8/wdgH5Wk/jYBOJjE9i/Vr/u\nWoDPbe76BeN/IZB/1x9/6XeWr7gXPSd3wkvxSHX/xnnb0Gw/xeYvfjfU/bb1ndmVUrWK0f/rHply\nPSHedxJmJujJTPV5vHMRGx1n2P74YXJIJT/ysrK1omLTslRrXYlCz6w6/ayIh/rblp1Gtmbwgn7s\njF/N4B/7k7tgLsrWK0GXL9tRpWV53Nyz0tmzP9WalSOxXkmsmpWnXb8GlGtYiorJt/ly5s3BxD9H\n0GZQM5zcHLGzt+WzH/oy4peBtBnUlAY9avPP8oMMqz2RgWVHcvt6UOqfr0BOrG2ssLSypM3nzQD9\njPatP20KgGsuFyytLNFoNCnWQ3tdXsnDBnThUcS+5HldRqnRtjLfHphKox51MuV6QrzvpDejCWrp\n2J245BDL4miHe4GcfL1nEpZWlvwyZgXbF/+t3+dkZ1jOpUrLClw9fp3IR5EkJQ92trK2xMHFHic3\nB6LCY3Byc+TD0W05/tcZWn/ShK+6f8+DO6FUaFyG07vPA/o5G7/c8AU3LwQwuu4kAPKX9CJPIXd6\nTe/MiDqTiAiNpEilQji62NNheCt+m7QG9aQfJWoUJfDKbcNzvzofVmfEL5+QxcEOgJM7z5LFKQt5\ni3pwZMtJilUtzPbF/7Dr130061ufgd/0MnwHt9Q7JMYnGiZcfhN3/YJZOWMDZeuXpGEGraEmhHhz\nGdmbUcLMBB1cd5RZ3b4zrN4MMHXzaKq1qsi1MzcYVHE0AM7ZHHn8MBKNhcbQQ9HS2jLFFFZpyVMo\nF8H+IWi1OmyyWBMfo59WasiP/Wg5oDGze83n7+RJhp9wcLEnOiImRW/IvMU9iYuK417AfZyzOT1t\nPSar1b4KA+Z8xPbFf7Nq1kY0Gg25C+Xirm8wlZqW4+TOs/oDNdCsTwM+X9AXaxtrhBDvPuma/45K\nTNDPkFG7QzWW+Mxj0He9ye7pRtEq3pRrUAqAfav+NRwf+Ujfbf1JuFhYaHDJ4Zyua4UGhdF7Rhe8\nO1bicd6sRJX1oFLTMrQcoF9rrFrrSlhaWZA1pzNu7vqJiKPCo1MEGYCFRsO0LaPpNbUzn37XO8XE\nyGjg0PrjjKg7iVWzNupr1ekMC5FePnJVP8UWgA52LNlj6E35xPJp6xhSczzHtp3ioyKf0zFXX/wv\nBqT5uXzP+eNz7Fq6vgMhxLvD5MJMURQbRVF+URTlpqIo4YqinFEUpamx63rb/t14nFaO3fmsyhhi\nouP0vQU3neDB7VCunfQjPkY/n+Gzs+A/36bWanWEJneHT42VtSVZk8MuNjoOv/MBBOzxwU69j921\nEEJuh7It+RZmrQ+qUK5BacJCHhMaHJbmOcs2KEmBUvnoNr49WRztcMxqb9jnnfwcz8rmaUeWPjO7\n8r9dEwCIfhxD4fIFGLn0U+yds5Azb3YKP9M5JSo8it8mrcHniMryaeu46xtM2P3HnH4u8J5QT/oy\nqOJohlQfx/Htp1M9RgjxbjK5MEM/9i0QqKWqqgswAVirKEpe45b1dh3fdprEhCTUk370LzWc7gU+\n5dy+ywDkKpATO0f9c6egG/cM77F30m9DAw261SK3d64XzttjcifDXIiJCUmE3X+MvXMWrG2tqdOh\nKoXLJwdOXBIBl27x3cDFdC/4KUe2nOTq8RdbOE8GTz/x8M4j1s/dxqGNx5nUdja3rwXh5OrIiCWf\n0qJfQxxc7ClTpwSTN3zB9K1j6DKmHYXK5qd2x2pYWFrQoJt+yZvYqDi6jWufYuyavbM91VpXxNrW\nmpYDGlG/a02qtChPgzSee0WGRaFNbjk+Tn5uJ4R4P5jFMzNFUc4Dk1VV3ZjO4/NjZs/MAq/eYdHw\nZWTzcGPnkr0p9tXtXINxK4eSmJhIM5suKfZlcbLjq10TKF61CONazuLEX2dS7C9VqxjdJ3RgSoc5\nL4wxK1rFm3Grh/F1rwVcOOCTYl/Z+iWp1qoiS79cSVxyq9BAwwvNQksrC0PHk7zFPFhyeR7Dak/g\n0r9XsbDQsDNhjWFQ9M3Lt9AmaXEvkJMR9SbhmzybfqVm5Zi5/cuXflehwY84seMclZuVNYTf5SMq\nFw744JzNEQtLC5r2qZ/h02YJITJWRj4zM/kZQBRFyQUUBi4bu5a3KW9RD2b+NQ6dTkfYvXDuXA/i\n0b0wIsOiuXbSl7D74ZzdeylFZw3QL+dyaP0xYiJjXwgyC0sNFw9dYVyLmeTwyvZCmF097kuvwoP1\nqz0/p0H3WhQsle/FIAPyFfUk4MptsjjakhCXSGJCkiHIQL822/8++oFmfRsQFhJOrQ+q8s/yg+Qt\n5ok2ScvQmuPRaXUM+r6PIchyeGWj+4QO6fquJrX7mqvHr1O0SmF+ODqTuJg4xjSeRmx0HPW61KD3\ntC5M6/QNhcsXosvYdgAc336a+YOXUqlpOQYv+Dhd1xFCmA+TDjNFUayA5cAyVVXfi6f6Z/de4tg2\n/fOeTl+04eHdUJr1bcCQGuO5+8xaZU/Ex8Sx7puthkHIz3J2cyLs/mO0SVqCboSkWNjziaTEJH1v\nSJ0Oeyc7oiNisbGzZu7Hi/AuX/CFcwJEhEWSr4QnVVtW5MimE9xS7wKQu2BOgm7oFwb954+DXDjg\nQ/0uNbGwsmD2R/OxsrFi2E8DDDU4ZLWnaZ/63PENpnD5AgReuUPxqkXS/G6WT1vHypkbcHJLOau+\npZUlTm6OxEbHcf/WQ/qXGUFsVByH1h+nTqdq5CnkztZFuwn2D2Hrj7voO6srDs72aVxFCGGOTDbM\nFEXRoA+yOOBzI5fz1gXfDGHJ2BW45spq6Gqft5gHDbrVYtnE1akGGUBivL5V9WRRz2dpLC0oXbs4\nFw7pbyFa2VgZOpI860kPxeiIWKxtrchdKBcBl29z7ZQfn8ztxYM7oWxeuJP4aP17Q4PCCA0KI+By\nypn7vcsXNIQZQEjgA1b/bxNVW1bQ15qQSNHK3gxbPJCkhETqd6lJ+Qal6On9GRcP6mv0UvJQonrq\nU1j9s/wgCXEJJCUmkr+kF3f9gtm78hD1u9Zi/olZ+F8M5OveC4iN0o/RK1Aqr2HQdcsBjbl56RaV\nmpbN1CA7tfs8Pw77lcrNyjNgTs9Mu64Q7xuTDTNgCZAdaK6qapoDpxRF6Q/0f26zzdss7G1YOWMD\n+9eknMdvTp+FKV5rLDXokv77Gae1rX6VZ4BHwWE8eqYnooXly/v7JMQlotPqKFuvBKVqFcfOwY4m\nveqyZeHOl7736DM9Le2dsxAbHYdXkTz66bC2nQYdRDyKovnHDQC4fuYGP49eTlxySGosNLjmetq1\nX6fTEREaiXM2/dyUvaZ+yPLp69BoNNy8dAuAP6ato37XWri5u+Lm7kqH4a3Y9MMO2nzWlA+GtjAs\n7lm1ZQVDqGamDd9tJ/DKHQKv3KHHpI6GKb+EEClsURTl+d+0F6uquji9JzDJMFMUZRFQFGioquqL\nTYlnJH/YFB/4SQeQt1bgW1Cmbgl2/bqXHHmzExL44IXxXICh04XGAnTPrS7iqeQh+MY9Q5ClJjYy\nHVM5aaDFgEZEPYpm9exNxMfEpwjI1G5V1mhXmQv7LxPx6OlyLU+ez2XN5UKH4a24F3Af93w5yJYn\nq2E83cj6k4l+HIPGQoOlpQXZPFz5ftAvTFo3giyOWfi69wL+/v0AbQY1ZcA3PXkcGklI4APDrCcA\njZ7r2dhheCs6DG9leP3jsGXsWLKHXlM788HQFi///BmsWd8G+J65QeVm5d84yJaOW8nNy7f4ZG4v\nchd4seeqEGas9Ts3A0hyF/ybQCzwpEWmAwaoqroqnefIj5n1ZgSIeBTJhQM+TOkwBzsH26d/aWv0\nt8z8LwSm+d6/tX+yY8keFg5blr7Q+g9WNpaG25cpt1vRckAjNv2wAxs7G0rVLkrRyt6s/XprmiHq\nksOZdfeWALDky5Ws/moj+Up4MX7NUAZXHUdMZCyNP6qDh3cefp2g//HO2P4llZuVo0OuvoTff4xr\n8qDtZ1uZ9s52LDw1Gw/v3P/5Wdq49CQ6IoaCZfLx09k5r/V9mIKbl2/Rr9RwANoMaspnP/Q1ckVC\nvLl3ujejqqqBmOb4t7fOydUR/4uB6LS6FK2P8auGcfHQlRfCLG8xTwKv3CZbHjeun7nBd5/8nCGz\nwqcWZADdJ7Tnj6nrAIiPjefsnkuc3+9DYvyLz+sAnNwccMnuxPTO3zJy6SCuJM/MEXD5FgPLjjLU\nautgR+2OVdm76hDO2Z0My764uWcl/P5jwkLCX2ipRj+Oxck1ZUeQ1PSa1pldy/bRbVz7lx5rynLl\nz0H+kl7cuRZkmPhZCPGUybXMMoI5tszCHzxm9Veb8Crmgf+FAKxsrNi/+jBObk7Y2tvg5u7Ckc2n\nUrxnxvax3Lt5n+8H/ZLq2K9XobW1IC6PPXYBkWjSWCDZzT0rUY+jDc+4nlWqdnFu+twi4snyM5rk\nkpJrGr96GF5FPZjRZS6BV+6keK+VjSUbHvxKFseUt+FWzdrI0nErKV6tCCWqK5w/4EN0RDS3Vf1s\n/N8emEqpWsVe/0ObGZ1OR0J8Ija2MneleDfI3IzvoN8mrmHdt1uZ1/8nrG2t2Dx/Bw/uhOJ/MYCr\nx69zZPMpOo5sTc32VQD9s6scXtnZt1q/Bth/BZmVzcsb4HeGFOX26OLc65FyKRkLC43h/aHBYamO\nO9NYarhy7JohyJyyOWJhYWEIMgtLC77tv4ivey+g94yuhvdly+Omr8/ait8nryU6IuU4uErNymJp\nZYHP0WtUaFyGBSe+4pt9U6jdsRrth7ZI18Kd7xKNRiNBJkQaJMxMRN7i+hakW+6s/Dlna4qu9g4u\n9ji42PPnnC0c3ngCAJ1Wy84le0lISP0W3xM6oHnf+i+9fkJ2W8O/e8/oQh5vdwDyl8xLo55P1+Sy\ntpqroegAACAASURBVLHG8pkFOTUWGkpUUwy3GvOX9CIyNCpFJxFtkpboxzH4nvVn+6Ldhu0Dv+3J\ngDk9iY2KY92321j79eYUNYUGhRkGY9+/rV9V283dlQlrhjPw215YWLz+H98bFwL4rMoYvu23CK02\njaaoEMJsSJiZCDsHO/1v3nbWNOlVN8W+oT/1Nywq+eTZkU6n7/adt6gHjq4OL5xPC2itNFhaW7Dl\nx90v7H9enu+u4rrrLuWPRtNhWEtqtqsM6Oc7VCoV0h+k0a+v9uxsH/aOdvo1wjRg72KPw//bu+/w\nqKr0gePfOzOZ9AQIoUPoF6mhdxUQRARWQVHEBjaUVRH1JyiuIOriqqyyq4gKKioqigKuggVFkCa9\nc6kJRUpCEtImyWTm/v64M5NJpSd34P08D0/IbfPOheSdc+45540Op9Sua8WYdwUw4IHruHZYd3rf\n0cM3CfrXuX/4JowDdLqhLWPffZCHp91L37vPrg5ZVno2b9z3Dm8/PhtnnpPMtKwSj/tuxo9o6/az\neNbSYt2eQojAY7oBIFeq3Wv2oOs6xw6c5G9jbsAeavdNcH759jdLPS9h+yGy0rOLbbcA5OsoQUU+\nr5TybC0iyUnIt0dIAm6r9SAtejQDjInPsybMNQ7SKVSvrFF8fe575Q469m9Lo7YNeLTzBHas3E1c\nizpEVApnx0qtIB6L4lsEGKByjSim3jWdjJRMajaoRkZKJscOnODjSfMKzQe78cG+pb73kvw853eW\nfPgbAHvW72fn6j3c9sxNVKlRidCIEG64z5jjdu1t3fnjm7U0bBNH7SY1zuk1hBDmI8nMJEY8fwv5\nThdV68Tw7pMf+7b7F94syZ71B0rdFxxmx2qzku30exZVyqVqNKxOYroDS3I6mWlZ7Fy127cvo5QV\n6PdvTuDdJz+mQat61Kgf6yvOmXT4FEf2HCt0rLvIe/hy6sJCxUe99m08wLzXFjLs6b+V+r78padk\noLt1oqsapW2qx1XFYlGwBlnZv9Woe7bsy5WcSEgCILZuVTr0a0Oba1vwlWfKgBAi8Ek3o0nE1onh\nqdmPcNOj/QutPdi8a1MGPdzP9/2IiUMJCjEGAQSFBBEUXPLnEWuQlSmLxhdbXLgktRpVJ6tVHM4O\njcnrYgyqyEgpuXuuqEO7jjKm03heuu3fNIqvT3RsFNnpDqPadRmL1ltshf/rtenVwrdCyapF6zis\nHSUnO5fnBr7CfS3GcmBr8YKcCTsOMyLuYe6oN5o9G/YDxuLJbreOMzefYU8Npsug9gx+pD+KomAL\nsuLMdfLTx8twZJ75vpQmL9fJgv8sLqiSLYSocNIyM4l9mw8y9c7pqJ0aM/6zx3juhlcASD1xmsfe\nfoAuAzug6zr2kCA+e2k+YDw/K22Ol9vlZudqrcQJ0NYgCy5nwXOvhm3qszs8GHLzwVJ22RRdUXBX\njsCSmonieTbmXavRR4Hw6HAGP9yXoBA7WWnZJB05xfKvVgOgdmzMXS/cyj8GT8Xt1qnXvA65Wbm4\nXW7Co8OIrhrFqKvGUqNBLMcPGi2q6WPe580VLxWKJXHHYd86jAe2JNK0fSO6Du7A/2b+TLV6VRn6\nxEDfOowd+rXBZrfy5LWTSDt5mo2/bGX8J4+V+V5L8+WrC5gzaR4Wi8KsXW9Rp0nZE7eFEJeeJDOT\neOO+GSTuPELiziNUr1fVt11RFD558St+n7eK4RNu5sC2gonTRRNZpWpRpJ1MB4xE99HzX5b4WkqR\nJtMf36xFt9uw1aqC5WTpVaUBXGod3I1q4na5GdygCotLGlyiQ1ZaFp9PXeDr1mx19VVEx0aRcSqD\nIWMHkHriNLoOcc3r8O6m1/h7lwkAhEWGsnej0XXqTWQA7fu1KfYyPYZ05vbxNxuLFo/oCUCzTk2Y\nnzS72LENW8cZoxZ17wCa85+U520520PshIQF3DKgQlyWJJmZhH8dyWr1Ynx/7zSgLXMmzwMdpt71\nH0K91aWLiI6N9CWyMynpWZWSl48t4WQJRxcIjw7DEmbn9Pq96PViaXhzu7JfyC9f7N+c4OvyXPv9\nRhTFKDuTuPMIyUdO0W5ge/ZvSiDpyCna9mlF0uFTKBaFVxY/S3ZaNt1uMkZX7lilMf/N/9Hnjp50\nv6kT971SMG9t1oTPWPvDRh56/W7a9y2e/CwWC//+4yV2rNzN1bd0KTv2Mtz09xuIa16H2DoxVK0d\nc+YThBCXnCQzk8jzm1fWoFUcd068hexMB827qnz71g++ff7LXPk7nVQwyjAo2FZiSZgLpaOTvnE/\nFkA/mcbb60ovMWcNshrPzTxadFNp1KY+O1Zp3PrkYNy6zm9frMTtcvP1tP+xLRZ0i4IeZOHeqXfQ\n6fddnE5OZ+aTc0jYfphOA9qSmZrFoV1HyUzLYvPSbXT3JLi3H5/Nktm/+rocJ/R/mV7DuzPh08eL\nxVWnSc2L0i3YtnerC77GpaLrulTZFlccSWYm0a5PKxJ3HCbIbiNhx2E+e3k+0VUjyfCbJxUaEYLj\nLBYRvhSJDCD7tMPXQamU0k0XEh5MTlYuLqeL8ErGvLMmbesz6pUR1GtW23fcrGc/802sTjpyiob9\n2vPH4+2wZDn5+aNl/PndBk4eSvYdv3fDQVJPFHSB1u3YkMmLlnJ7p9b8+OFvvkRmsSq4XTq/fb6S\nkS/dzntPf0JdtTYjXxp+Tu/11LFUPv7HlzSKr0/TDo3YtHQbN9zfh8rVos98cgXJy3XydO9J7N+c\nwPPzxtH5xvIveSNERZFkZhKjp91D2z6tqKvW4pdPlqPrOmlJ6aT8leI7Jq+M8i5mUb9lXfZuOEhc\nizpMWTSedx6fTVhUGOt/3Mzj3Z7FZg9i0MP9CrU2N/y0hdyF66hpVcCl84N1e6EVRHoM6cy1t3Vj\n5lNzqFq7CuM/eYxhX3xLyp9b2Xn0BLeMG+hbALl5VxVXvoueQ7qwYPpiVsxfC0DPW7rQOL7wUl1l\nmfvyfBbPWgoUJOi9Gw/wwtdPXYzbdEmcTExi52qjtbxywTpJZuKKIsnMJBK2H+bTKV/TrHNjBj/S\nnzX/W0/bPq3YtWav7xhXCc+6zGbP+gN8fmQm8/61kHuaPkq+p5X485zffcd8MvmrQud413tUPIVH\n/RNZyx7NeGLmQ2SdzmZu4ru+7U1rxrJu8z4yZvzIJ6nZWCwK9VvV4/6pd/oqVa/9YSOL3vmRGg2q\nUavRuU2Mbta5Cd/N+Inq9WNxu1zkZOVSKTbqjOeln8rgi6nf0rhdQ3oP73FOr3mh6jStxS3jBrFv\n0wGGjhtYrq8tREWTVfNNYmyPiexYZayYEWS34czLx2qzEte8NgfKqGN2NryDLcqDYlEIrxRG5lnO\nUytJtbgYTiaeAqD38B6s/2kLGSmZPPfFE1xza1eS/0rhxVvf4MjeYwWr9AMv/28CnQYUHpSSk51L\nULDNV3H6XCT/lUJEpXAcmTns35xA294tsdrKvs5/H53FwreXoCgKnx58m2r1Ys/5dYW4UlzW9cyu\nVGFRBeVPnJ4h9263m4Qdhy/42pcqkQWHBRNZJZxkzyLA3kEfZ0pk+TFh6OjYTjmw+K1wElE5nDFv\njaT3HT2ZNWEu815fyLJ5q3wttVkTPuOTF+eBrpC4s/B9sdlt7N+SyInEJAY9fL1ve0hY8Dm9J//B\nE1U9q/qHhAXToYSpASWpd5Xx4alyjUqEVyq+ZqYQ4tKQFUBMYsz0UTTt0Ijw6DBsdivV6lVFd+u4\nXeZtOedm5/oSGZxdN2itJjU4fWsrrJl5KEBdtRb3T72TZ+eOZcrGqaxYspEbgoeTciwV9MJdjscO\nnCBxx5FCiazV1UY9s/hrWzD7ublMH/OBbzHjc7X7z70MiRnJfS3GkpFafAkvXdfZsUojPSWjhLMN\ngx+5nve3TeP9bW/4JmwLIS49SWYm8d07P7Jn/X4cmTnM3jW92IjE6vVjCQoJonHb+hUT4AXyzo87\nuvc4YaF2MnvUJyQuhiPaMRb85wc+nrmYe8Z/wHeWHFy6zv4tBwudby2y/FWtRtXpM6In19/bi29T\nPmLouEEoikJQcBDOXCfPDniFfz80s1CNtHxnfomLMnutW7yZzDRj+P/+zQnF9n/wzKeM7TGRMR3H\nl1nRu36LukRViTyb2yKEuEgkmZlElGeh3LDIUHat1ah3lTGMPTw6jH73XsOJhCScOU6OH0yiefdm\nFRnqefHOj1MA+/tric1yUa9BVdxuN8lHUzj6u0bEioME70sGXefgtsPYQwoKUfqXnQGjW3HpZyt4\nfdQ7HNp9lA792vD+9mnM3vUmK7/9k3VLNvHD+7/wcLuncbvdODIdPNj6SYbEjGTFN2tLjLH/fb3p\neENb+o/qXWIF6+OJxookKcdSyS+jjlzSkVMBMfL0TLLSs3lx2Bu8OOyNMj8ECGEG8szMJIZPuJlm\nnZuQeiKNf94xHTCeIWWmZrF9ZcHk5My0LHau3F3aZQKCNTOP3DUJ7I5U0OPsKFkuLMkucLmJWFMw\n2KVO01rkOnI5uvd4ofOrx1X11SALCgmiUmwUfy7exNuPz6brwPZ0vrEdP328DF3XOXkomcO7j/Lc\nwH/6Vs7f8tt2eg7pXCyu2DoxPPivu/j6je9Y+8NGDmxOYP5b3xMcauefSyYy5q2R1GlSk/jeLQkO\nLXgWl3TkFPNeW0hMrSrY7DZmPvkx9VvWZcaGf2ELCtwfsT++WcuKr9cA0HlAO66/t1cFRyRE6QL3\nJ+0yoygK7fq04pU73/Jty0w1BlL8tfdYaacFJB2jhWbJ0CEjj8jBtUn/9S/sJ/yeUylw/cheJB9N\n4avXFxEZE8G1w7rRsX9bXE4XU26bRqVq0bzyw7PUalSDiYP+yV/7jjP/ze+5+8Xb+GjPdBa9vYT4\nPq1ZuWCdL5FZbRYatokrMa4ty3YweehrZKRm8evnf+D0tK4yU7NYtWAdIyYOLTb52u1283C7pznt\nGVXZuK0xly1xxxGy0x1ExQRud2Prq5sTU6uy7+9CmJkkM5MZPv4mfpv7R0WHcdHodivZ3RqDWyds\n1T6UIt2FABmLjmJRlMKl1nSY8cRHAAx8qC/3Tx3B84Nf5bsZPxEeHUb/kb0YM30U9hBjod/w6IKR\ng8cPniQ3O5fR0+7l//q+yKal24itE0PSkVO48t2sW7KZG+7rU2jJp1NpWbw5+UsyPB8gmrRrQG5O\nHvs3JVC7SU363Nmz5Pfn1n2jTwH6j+rNng37aX1184BOZAA1G1bniyPvVXQYQpwVmWdmMt/N+JHp\nYz6o6DB8racLldekGo4ujQCoueck2Wv3F+y0KOBftLOUKtjh0WHkOvKKVQn4+uQsX1HOw9pR5kz+\nCmeuk5Xf/glA2z4t2fr7Llz5Ltr2aUXD1nGs/2kLmamZ5Dny+NcvL9C4bQMyHbnc8tSHpKZnE7wp\nkasb1OCF+U9htVnJzc4lNKJg2oQj00FIeEihRHhgayIr5q+hzbXNie91/ms2Lv96NYtnLeXmx26k\n0w1tz/s6QgQKmWd2GduyfGfBN6X8ci8Pus1SYivqXFmPp6Nk5YKuk7ntcOERR0UraJfwXiMqh5GZ\nWnjwQXBIED2GdinU8qmr1ua5uWO5p+mjvm2blm7n3hdvY95ri8jPy2fUy8Np27slEwdNBWDDz1tp\n3LYBubn5pHuKdQ4YN5Dxo/qSneHgqV6TSDpyiiGP34gzNx97WBAzx82hZc9mvPHbZF9Ca9g6joat\nS+66PBf/fXQWqSdOcyIxWZKZEOdIkpnJ7FrttxJ9OScy/9ZYaYlMBziHRGfNyCHqm43nHZMzt2AI\nvOKZYJ2b42T7yt2smL+Gq2/pWuj4cL/J5007NsKRmUN2hoNtK3axd+NBTiQWLF7ctENDAGIqhfPa\nE39j18ET3NbPSCJ7Nx7wrXM486k5ANRuUgNd19m2fBfZGY6LPo+sy8AOLJ61lC43nqG0jhCiGBma\nbzLpp0qfkHupKaX8vegxF6PFdrZys3Op1bgGs3a9SaTf3K0TCUl889b35GTnMvmW13n6uskk/5XC\nzY/dSHh0GL1u7870VS/T+46e1FVr0bF/PE3aNcBmNz6/WSyKr4sSoHt8Q+6/uSuR4cZ8uKu6NOXq\nW7vStEMjQiKMkYs9h3aly8D2jJk+6pJMiB73/mi+y/yUB1+7+6JfW4jLnbTMTKa0xphiMepDu4t2\nzZWj832OdqHP3xyZOUy9czoR0aGkJxsFSEPCgxk0+no2/rKVPzzzxn6b+we3PjWYvndf4zu3Yes4\nZu8qGCFao34sDVvH0WVQB1/X4GHtKFVqVi6UoOzBQTz/5TgATh5KIvmvVJp3aXoB7+LsnOvyW0II\ngyQzk8n11OUqSnfrxRKdroAeYsfiWXX+UjvfhOR99He+52enO9h7/AAA0bFRxNaJYdI3TxNbN4aM\nlEwatKpHZloWnQac+TnTB+M/5cDWRI4nnGTklNtZ8J/FvP34bKrHxfLBjn+XmEyq1YuVBYOFMDnp\nZjS5CL/Fai3WwunAXTOG/Gva4Oyo4vZ0j5mOUvAlJCoUxVJ2SrPYiv+XzM0uSPC9buvOjA3/4sPn\nP6d/0O389NEy3tvyBnMT3yWued1i56anZPBIx2e4q9EYDu0+StfBHQHo9jfj68FtiQCcPJRMZtqZ\nV/o/eTi5xHUbhRAVS5KZiSQfPVVsW/x1LXy/4IsuOqxk50K+Cz3UjpJ3aapLX4iwqFDqNK1Fm2tb\nEBYVSpxaq9jk23rNamOxGO/PGmSlWt2qxa6jKGCxWrj3peGMnnYPAMu/WoOu6yyfv6bMGHau2sPe\nDQc4fvAkqxet565/3Mr3jrk887Ex6vHeKbdz06M38Mycv1PpDFWkVy1cx10NHmGk+hinjqWe9X0Q\nQlx60s1oIlFVowiNDPGtYwjwx9d/lnq8JS2ToF+MkYIXY07YxZad7iA73cER7S8AtHX7ix1zaLex\nLJXFZsHldHH84EnUTo0JjQghsko4K75ei65Dh35tGPHsEN95j7w5kt+++IMRzw0tM4Y2vVrQZVB7\nTiel0+0mozVmDy5Y87Fy9Urc/dJwxjzyMdM+/ZNX/jmMNvH1SrzW/s0JuN06p5MzSDqcTEzNyud2\nQ4QQl4wkMxOxBwfxyf632bP+AOuWbCK2bgzvPf1JmedUVBKzhdmhcjT5R5N826x2K2GRoWScKrsb\nrlrdGLIycqjfvDa71u4zyrx4BkgqisLdLwzzzbOa8cRHrFuyiZsfG1DoGgMf6svAh/py7MAJ/vP3\nD+hwfTxt+7Qi+cgp6jSt5TsuNDyE4ROG8H99JvNEj4m8ve5VqscVfv6VmHCKo0eMltaGDQdLTWZD\nxg4gMy2L6nGxNOvU5OxulBCiXEg3o4m43W5WL1pPwo7DXDOsGwPu70NwmL2iwypOgdCGtck/UVDL\nzGqz8tovL6CgFMqw9pAg2vRqwTNzHvX9b2vfrw0LUj7izT9eprNn0IZ3eEuD1vVo26clqSfSALh7\n8jC639SJ5CPFu2ABZoz7iEXv/Mjkoa/x984TGNnscT57aX6hY3av2UuuI4/TyRkkbC9etbt5i9rc\nPKQD3bo3YdDg0ud4hUeH8/C/72XI2BvPfI+EEOVKWmYm8ssny3nj/hm+7x+b8QC3PDGIz16eX8ZZ\nBaw2K1XrxnDi4MlLFaJPxq5EcLmx2Ky481243W5OJib75slVqVGJDtfH89g79xMcGsyxgyd8ra9N\nv273Xef/Pn6U5V+txh5mZ/vyXVx7e3eGxo7CkZHDyCnDycvJ44tXFwCgdmxcbKWNBi3rsXrRemLr\nxpDoqcq9d9OBQsdcP6oXiTsPEx4dRof+8cXei8Wi8PdH+160eyOEKH+SzEzEf+QiwPYVu3j6wzFk\nns4mNzuH5fPXkH3aUcrZMOjhfhzWjl70ZFa1ThVSjqfh9k6WDgkBRw6RVSK4qnMT/ly8idCIEBxZ\nDoaMvRFHRg4PvX5XocV/azaoTvOuTdm1Zg+3Pjm40Hse8MB1AFw34mp++niZ75nh8m9Wc+s449jI\nKhFUrl58gMbIl4bT+44ezHt9EccPLgOMas/+wqPCeOK90RftfgghzEcWGjaZtd9v5D+PfgAoTFs+\nmWp1jNF9k4a8xsoFpQ8GOZPo2ChOJ6UX2mYPCULXoUaDahz2DMTwenL2Iyz9dDmdB7TjlnGD6G+/\nvVB15e43d2LS/KcB2Pzbdt4c/R5H9x6j04C2vPy/Z0uNw+VyYbVaS91/OjmdRzo8Q0ZqFi/Mf5L2\n17Xh0O6jRMVEUCm29NGG21fu5l/3/JfG7Rrw3NyxWG2lv4YQwhxkoeHLWOcb29H5xncKbUtLOu1L\nZBarBbfLjc1uo0GretRrVpuln60o85qhESG8t/V1PnvpGxa9vcS3/d3Nr1G3aW2O7jvG+898ysaf\nt4IC/e6+lv739qK/XzHGFt1Vtv6+k6BgG87cfFZ++yf7Nh+kcXwD4nu1xPuhKC+n7ArLZSUygOiq\nUXyWMKPQtnrNapd5DkDL7s2Ys++/ZzxOCHF5kmQWACKrRBDfuyXblu/i8XcfRFEUmrZv6Ht+1L5f\nPNMfeR+b3cqY6aP484dNJB1OJiwqlPZ929C+XxuqVK/Mnc/fwrblOzi4zXi2lJttrBxSu3FNJs1/\nmkXv/Mh//v4BC99eQu8RPQst3zT1x4mcSExm24pdTLt/BkF2GyF+E7WnLpnIuiWb6Tm0eAVnIYS4\n1CSZBQCr1RgpWFoXXd+7rqbvXVf7vr9uxNXFjkk+eooHWj1J1ulsqtSsRMseV9GgVeEh6JFVIozX\ns1kLrT4PEGQPok6TmtRpUpOaDapRqVo0dZrU9O2v2bB6sWdVQghRXiSZBZAzddGV5dRfqb7lmgY/\n3J8RE4tPNu51e3eq1q5CROXwEpeG8orv1fK84xBCiEtBktkVQu3YmMdnPMiJxCSGjB1Q6nGtel5V\njlEJIcTFIcnsCjLwIZlLJYS4PJkymamqWhmYDfQFkoBnNU37vGKjEkIIYVZmXc7qHSAHiAXuBGao\nqir9X0IIIUpkumSmqmoYMASYqGmaQ9O0lcBC4K6KjUwIIYRZmbGbsSng1DTNv17IFuCaCoqn3Dgc\nDkJDQ3E4HL7v8/LysNvtKIrC6dOn0XUdu91Oamoqubm5BAcHk5WVhdVqxel04nK5yMnJISoqisxM\nY/X6jIwMrFYrISEhZGZmkpmZic1mw2azER0dTUZGBrquk5WVRXR0NA6HA6fTSbVq1cjLy8Nms5Gd\nnU316tVJSUkhPDwcRVEIDg5G13VycnKoXLky+fn5ZGVlERUVhaIouN3G8le6rhMaGkpkZCSZmZnY\n7XZcLhe6rmO1WtF13RePy+1Cd+uEhYX5rpWWlkZERATh4eE4nU6cTicWiwW73Y7VaiUoKMh3n1wu\nF/n5Rm03770MCQkhJyeH4OBg3G43LpcLRVF8x9tsNtxuN868PMLCw337nU5noVgtFguKYqyi7L3f\nvnOdToKCgrDZjB8p7zk2mw1d1333EcBms/mO93K5XL7reu+Z9x76v3Z+fr7vnimKgsVi8U1Y98ZW\n0qo+3uNdLpevfpz3eO9XMBa79u73nuO/T1GUQtuKvp43Zu81yuKdauJ/3ZLOLRqHWZkhzrONwQyx\nXmxmTGYRQHqRbelAZAXEUm5uDL+DPIcT/19DRf+rFf0VpZSw7Wz2lSddAXd0MJbsfHS3G0t+6VEp\nnojjOmeQuDYKHdCDbSi5JRceddaMIuOGZljSc4n+diuKq/i13ZXCyO1xFUqOk+Dfd6A4XSVcyfv6\nxj3L6FoLV6SdiGNgSTiBJcOzHmaNGDh1GpylF0L1/puVde+Vot/oBcfrQYpxj3TQQxRODa5Flfl/\nobh09DpVcV0Vh5KUhnXzflAUoiqHk5GSiTXIypSFz+DIzGHKsGmFXs+7aow3LldDO9bjTpRsHavV\nQof+8UxZNJ7Jt7zOym//RFEUbri/D0tmLWXI2IGMemU4D7Qcx9F9x1EUhcgq4djsQUz7fTIfPf8F\ny75cZbwVi0JYszpk7TpM637xvLH4uVLvwT0DXuLoki0onvdvvT2csPphZLyaRM2G1Zmx/lXCo8P5\n5q3vmfnUHHoN7874OY+VcVcr1sFtiTzdZzJhUWG8+ccUqtQo/1p3S2b/ypuj36PTgLa8uOCZEo9x\n5bt4pt8Udq7ew4RPH6Pn0C7lHOWlY8ZklglEFdkWDWSUdLCqqg8CDxbZbMK6KWXLcxjLQJX1Wamk\nfed6fHlTdLCk5QKQH2lHycgr62gAjm4OL/guN7/U9+GMq4xut+GqagOrBcVVPFG5K0WA3YZut6FX\nCseSVPRzUvEIwnYmc+K+1kRt0LBkOApe/wyJTPf7etb3Xi94XQDF6ZcGc3WUDBcWT5J2Va8CFgt6\n9SqgHEDRdTJSjNa3y+li1cJ1HCthkWlvIvO+jvVgHornZVwuN2u/30h2hoMNP20xQtJ1Vsxfg9ut\ns+zLlQx6uB9H9x337Uv31KvbsmwHy79aXfBW3DqZ+46h6LD1py2lTvJ3ud0cXqVh9Xv/rt8c5M0I\nAx2O7T/BwW2HaNnjKn7/ajVul5vfv1xl6mS28ZdtnE7O4HRyBrvX7qPb3zqWewzL56/Ble9i9aL1\n5GTnEhIWXOyYlONpbFm2A4CVC/40UzJbpKpq0V8O72ma9t7ZXsCMyWwPYFNVtZFfV2MbYEdJB3ve\nbKE37F1o+FIGebE1aF2Pg1sPXXDLTFeMBHJJW2Zn0/zwcFvAWS8aa1Ye1iRH8XgxPtHrVgsWZz4h\n0fk07JrBjl+rolut6IDFUfJ6j8E7jpMfE44lPQfyXCWGYz2Wgut4ZZScPJTkjLJbTEFWXHYbmfGx\nRC9NJD+uGlbA5ilro1erjJ6SBrlOo26b23M1iwK6Xigx6RbPmyvhBb23LyjERmTlCFKOpRmHWcEV\nZiMmOBRHZi5KuAVLJORVtROU6sSacAyXxYKSlIY7wo7dYqFFfAOO7j1GZJVIbn78RnRdZ0zHcqI1\njwAACy9JREFUZ8h15GG1WQiNCCWiUjgnDyf7kpqrewS2rQ5C3UHUbVaL7jd1JjwqjLsnD2PW+LlE\nVong/qkjWDxrKYNGX0+tRjXoc2dPfv9qNdExkTRoFUdIeDDX3NqVnMxcvn/vZ9JTMoioHE6lDo05\nsHwXf7uvd6mT/K0WC9ePvZFf/7WIkBA7+XYnle+vTpX1UfwVm0PHfvFc1dVYSu2eScP45MWvuGZY\ntzL+5Spenzt7snnZdqPM0PVtKiSGEc8NJSczh04D2pWYyABi68QwfMLN7Fy9h1ufGlziMRVk8IUu\nNGzKVfNVVZ2L8WvgAaAd8B3QTdO0XWd5fn0CdNV8IYS4UlzMVfNNN5rRYwwQBpwEPgVGn20iE0II\nceUxYzcjmqalAjdXdBxCCCECg1lbZkIIIcRZk2QmhBAi4EkyE0IIEfAkmQkhhAh4ksyEEEIEPElm\nQgghAp4kMyGEEAFPkpkQQoiAJ8lMCCFEwJNkJoQQIuBJMhNCCBHwJJkJIYQIeJLMhBBCBDxJZkII\nIQKeJDMhhBABT5KZEEKIgCfJTAghRMCTZCaEECLgSTITQggR8CSZCSGECHiSzIQQQgQ8SWZCCCEC\nniQzIYQQAU+SmRBCiIAnyUwIIUTAk2QmhBAi4EkyE0IIEfAkmQkhhAh4ksyEEEIEPElmQgghAp4k\nMyGEEAFPkpkQQoiAJ8lMCCFEwJNkJoQQIuBJMhNCCBHwJJkJIYQIeJLMhBBCBDxJZkIIIQKeJDMh\nhBABT5KZEEKIgCfJTAghRMCTZCaEECLg2So6AC9VVe3AO8B1QGVgP/CspmlLKjQwIYQQpmemlpkN\nOAT01DQtGngemKeqar2KDUsIIYTZmaZlpmlaNvCi3/ffq6p6EGiPkeSEEEKIEpmpZVaIqqrVgSbA\njoqORQghhLmZpmXmT1VVG/Ap8JGmaXvO4xJWgOPHj1/UuIQQQlw8fr+jrRd6LUXX9Qu9xllRVfU3\n4BqgpBdcqWna1Z7jFOBzIAL4m6ZprjNc90HgwSKbw4FmFxy0EEKI8rAbyCqy7T1N09472wuUWzI7\nW6qqzgbqAQM0Tcs7z2sEA5uBgUCZydCEFgGDKzqIcyQxl59AjFtiLj+BFrcV+B8Qr2la7oVcyFTd\njKqqvovRorrufBMZgKZpuaqqZmmatv/iRVc+VFXN0zQtoaLjOBcSc/kJxLgl5vITiHF7fldfUCID\nEyUzzxD8B4Ec4ISqqmB0ST6kadrnFRmbEEIIczNNMtM07RAmHl0phBDCvCR5CCGECHiXczI761Ew\nJhOIcUvM5ScQ45aYy08gxn1RYjbdaEYhhBDiXF3OLTMhhBBXCElmQgghAp4kMyGEEAFPkpkQQoiA\nJ8lMCCFEwDPNpOmL4WyqVauq2gf4L1AXWAuM9EzYrlCqqlYGZgN9gSSMuE2z8smZ7q1Z76uXqqpN\ngK3AV5qm3e3ZZvaYbwf+gbFW6THgXk3TVpo1blVVawMzgO5ALjAfeFzTNLdZYlZVdQxwL9AKmKtp\n2ii/fWXGqKrqq8B9GCsTzdI0bXxFx62qamdgCkbdx3xgGcY9P+53boXEXda99jvmH8AkjCUMf72Q\nmC+3llmZ1apVVY3B+AF7DqgCbAC+rKBYi3oHYymvWOBOYIaqqldVbEiFlHpvTX5fvf4L/On9RlXV\nqpg4ZlVV+wL/BO7RNC0CuBo4YPJ7PR04BdQA4jGqZDxispiPYvzyn+W/8Uwxqqr6EMYCvq2A1sAg\nT8WO8lJi3BgfLGcCcZ4/mcCH3p0VHHdpMXtjawjcAvxVZPt5xXxZJTNN07I1TXtR07TDnu+/B7zV\nqgGGANs1TfvGs5DxJKCNqqpNKyRgD1VVwzyxTdQ0zaFp2kpgIXBXRcbl7wz31pT31cvTwkkFlvpt\nvhkTx4wRz4uapq0D0DTtmKZpxzD3vW4JfKlpmlPTtJPAEqAFJopZ07QFmqYtAlKK7DpTjHcDb/j9\nO7yO0eooF6XFrWnaEk3T5mualqlpWg7Gh7ZufodUWNxl3Guvt4H/A5xFtp9XzJdVMivKU626KbDd\ns6kFsMW7X9O0bGCfZ3tFago4i6zyv4WKj6tURSqBm/W+oqpqFDAZGAcofrvMHLMF6ABUU1V1r6qq\nh1RVna6qaggmjhsjed2hqmqop8vxBgoSmllj9jpTjIX2Y96fz2swfia9TBm3qqq3Ajn+j4D8nFfM\nl20y86tW/aGmaXs9myOA00UOTQciyzO2EkR44vBnhrhKVEIlcLPeV4AXgfc1TfuryHYzx1wdCAKG\nYjx/igfaARMxd9yTMFpn6Rhd0us0TVuIuWP2OlOMRfene7aZhqqqrTG6/5/y22y6uFVVjQBeBh4r\n5ZDzijmgBoCcY7XqTzEeQj/qd0wmEFXkvGgg4+JHe07MGlcxpdxbU8avqmo8xoCV+BJ2mzJmD4fn\n63RPdx2qqk7DSGa/Y964fwTmAZ0wksCHngf5Zr7XXmeKsej+aM82U1BVtTHwA/Copmmr/HaZMe5J\nwBzvI4sSnFfMAZXMNE3rdZaHzgKqYlSr9q80vQO4x/uNqqrhQCMKN8srwh7ApqpqI7+uxjZUfFwl\nKenemvW+XoPxUPyQJwlHABZVVZsD7+LXD2+imNE0LU1V1SNFNuuePzswYdyeATUdgD6apuUDqaqq\nfogxAGA6Joy5iNL+D2/3298GWO/5Ph6TxK+qahzwMzBZ07S5RXabMe4+QG3PaEcwBr3NU1X1VU3T\nXuM8Y77sFhr2VKtujTHUM7vIvqrAXmAUxqeYKUAPTdO6FbtQOVNVdS7GL6sHMLqUvgO6aZq2q0ID\n81PavTXrffU8Y/L/hPc0RnIbjdHFbrqYvVRVnQz0BwZiDLleCPyK8YDflHF7EvBbwDSMltlsIAt4\nApPErKqqFaML9x9AHYyft3yMUYGlxugZYfcYxtQZBfgJeFPTtPcrOO7qwHLgHU3TppVwXoXFXUbM\nUZ7tXuuBscASTdOyzzfmy+qZmV+16niMatUZqqqmq6o6HEDTtGSM5xCvYIyw6QDcXlHxFjEGCANO\nYnTjjTZZIiv13pr1vmqalqNp2knvH4yuihxN01LMGrOfKRg/5HswPpVuAF4xedxDMIZUJ2PEnQeM\nM1nME4Fs4BlghOfvz50pRk3TZmJ8wNyGMSBhUXklsrLiBu4HGgCTPD+PGaqq+p6/V3Dcpd3r1CI/\nl/lAmvcD8vnGfNm1zIQQQlx5LquWmRBCiCuTJDMhhBABT5KZEEKIgCfJTAghRMCTZCaEECLgSTIT\nQggR8CSZCSGECHiSzIQQQgS8gFqbUYjLjaqq32KU/xlWwr4PgIZAIoCmaSM92xMwqk8Xrc7bGGPl\nDV3TNOslD14IE5GWmRAVawYwWFXVWP+NqqpGArd59kPhShE6xgK4o4tcazQFC+MKcUWRZCZEBdI0\n7SfgMHBfkV13Y5Qf+aaUUz8CrvcUSUVV1WCMVd9nXppIhTA3SWZCVLyZGCuK+3sQmFWkhJG/ZGAB\nxkKzYLTidiEtM3GFkmQmRMX7EKilqur1AKqqdgOaA++d4bx3gQdUVbUAD1HQJSnEFUeSmRAVTNO0\nU8BXGAkJz9clZVTi9Z63GkgFJgBNgK8vZZxCmJkkMyHMYQYwUFXVlsCtwDtned67wGRgtqZpzksV\nnBBmJ8lMCBPwtLJ2YjwHO6Fp2uKzPHUO0A949VLFJkQgkHlmQpjHDIwW2cQzHOcbpq9pmgP4tYxj\nhbgiSKVpIYQQAU+6GYUQQgQ8SWZCCCECniQzIYQQAU+SmRBCiIAnyUwIIUTAk2QmhBAi4EkyE0II\nEfAkmQkhhAh4ksyEEEIEvP8Hd7nkbD9UWc4AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = scdata.scatter_gene_expression(['VIM', 'CDH1'], color = scdata.data['ZEB1'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

2D scatter plot after MAGIC:

" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Ow3m3nITLpQMU4TAoMGNBzuW2mPDlL5SWhsHjprCoguVz1zDxsxmJMkMPfng9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+wr4vyz8umb3DkDsMHrw6zIRNtsXd5HOHWJoCT0WNPmjWLavFGdtq1YuA01rPHZ4u1dgtIXDR3b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\noiExJlJKCDETac1zRCKGiBKtK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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = scdata.magic.scatter_gene_expression(['VIM', 'CDH1'], color = scdata.magic.data['ZEB1'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

3D scatter plot before MAGIC

" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Vy5urxLPTUZUXaPXS1OgYetY8pXLK6Zx4PA5RFBGJRLirRK2mxytLd1DGkTwm0cgx6oFS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2YxfdlkXIWZxCIxrvz2RZgtJg5vO0o0HEVTweqwcN3dV2B1mI9720Ki+chAnv2gzMDxxtmCpvUI\nxiYHWAVVQ1AGXlgUp4lwWSayO3SCohEASUKThOPKHMFo6+OvxVSEQCReNkEAKaIgSxJFFQWYLDJt\ndshri1FuT0dTNTydfkRJIL8kl2vuvJRKW4i0vHTSHTamZ8UTnuIVMdOxOqxYHZZegXO9UJ5OTZrN\n5lN6BgYLfW7oOzx9DLoh159PXamjadqQnoHBwBgsNhbo06+Fbid0Y6/PNX0H4nQ6Ewqc0wh9Bl6F\nAR6WEVGk3XDDDezatSuxKhYUFPDaa68l3v/ggw/4yU9+QnNzMzNnzuSnP/0pRUVFfZ7v8OHDFBcX\ns3HjRjZv3sy3v/3thAegqwBEUewV9R8pqVSqoFV/gadUfPtw1LFJxa8O9bxGeabuCQ3WEGx+eRs7\n396LbJa55ruXIMj06y3+7f7nObKzhtb6DsKhKLIoIogCiqJSMnUMZdPH8q8XttBc3UYkmNpDHwo0\nQYgbekXtTeMAmiQiaFq8pMEAUJwm3BeMRwjFcG5twtwSL8UgyBLIEqqigCTGvfpQJLEIGHl91WZC\ndZgxtfvBLGGxmsnMchKKxpCB+RfOISMvncMfVuH3BLnmzotZsHourQEfVZ4upmflkW7uv01fr4bd\nhmSmZHptNKA/K7qB1TGSz2df4+jLPugtPEOhUELBpl+v0wh9XqSPja655557Ery5EV1dXdx22208\n8MADnH322Tz88MPcfvvtPP30032ea+LEeBd6WZZpampKFNnSNK1XBmwqemG4kaxAMersjcZ+IL59\nOMYxlHryOoZKF/UFzWAcLRYLFnvvGIZx0XG6nGQXZTHnvJm01raxfd1emqtbsdjMeNq9lM8uZd1f\nNhINnbqBh7jUkRQeeoJnF0j5fiqIgRhSdxhzoxfZHUqch1gMYnEDr6aZUZ025Lr2Xp/XRAEhpiK5\nj9NGMRVV1Qj4QqBpuEpyyS5ysfzqhVx9x0WE/BHSs+MlE/LsTvLszn7H11/QMlUv1tEs6NWX42Ps\nxTAaYzCqa/QdtZ5cCSd6KsdiMY4ePcr06dM/4+T7Q187iLfeeouKigrOP/98AG677TYWLVpEdXU1\nZWVl/Z5zwoQJHDx4kJtvvplrrrmG9957j5kzZyaahBsVIaM1cfTsVaPcUKdv9ADwaKaD91cf52Rk\nc/1hwUVzcBVkkl3sSjSCNi46oVCInRv2YrGZmTy/ggUXz+Xo7lra6ts59/pl7Hh7L5IsEglFyC5y\n0VzXQkdTFwMwNcMCAdCGUAdHUDUy3q1DQ0OM6p8zZIMqKlKnH9EbSs3pqxqCdnxBTbNiTrMiIpCe\n5WD60kkUTShk1b+fg8l8vAa7dXBepLFhd19zrb9erCNVGTXZkTDONT3uMxjefrih01p6IFa3U6+9\n9hr79u1j/vz5rF27lvT0dB5//PHTzZtPiY/NyD/00EP88pe/pKysjG9961ssWLAAgMrKSiZPnpw4\nzmazMW7cOKqqqgY08iUlJaxZs4Zf//rX/OAHPyA/P5/FixeTnp7eo5qeHgwcra2gPnGM3onuoSRn\nr470OFJp3PWYgj6ph2u3I8kSkxdO6HMcu97ez2t/XI/NaSESjrL15R20NXSgqRrRSIzpyybz0Ru7\nyBmbxcqbl7PuTxtRhtD5aVQhiiCKiOEoQhLLafyX6jAj+sKISQuIAOQUWwCRkgVTKSjKYte6veSN\ny2X+6jnMWTFj0EPRDZRu3AebnZ3cNtLYwGO4dO66cdfjYakcCUHoXWtmJPT2qcaWTG9ardZEXsr7\n77/PK6+8wowZM7jllls+EQYePiYjf+eddzJhwgRMJhOvvvoqX/nKV3jxxRcZO3YsgUCA7OzsHscP\ntj3g4cOHueOOO1i4cCF33HEHWVlZ3H///Tz//PPcddddTJs2rUeJgNEw9kbvyMiLA4nofiQSGfVF\nR/8u3RDoyWKj1a0q4Amy7s/v0XCwkfySXGp21ONu8+Dt9DF50Xjyy3O4+BsraalvRVOhq8nDnncP\njuiYdKTaKAyoiVdVhLB6/PP9GNJgFCHFDsGVB+dc0YWzIp1oiZ1MxzxkWSQciJBZlJ6gUfq7L32V\nHhjqvEqmLlJVfRzq/Ei1S3Q4HP06EiOlt081tr7kox9++CEPPvgg2dnZPPbYY1RXV/PEE09w6623\nsmnTJrKysk75+0caw27kb7jhBrZu3Zry4s+dO5e1a9cyc+bMxGuXX345r7zyCu+99x7XX389drsd\nn8/X43M+n29Q7QEnTpzI1q1bSU9PT7z23HPPsWvXLu699140TeOuu+5i+vTpI27sB8O3G2mcvurS\nDDeSvTz9QdKTmvSg3EiPIxaJYU+3UTJtDLPOnsb4OaXUH2xk+vLJXHDLuSiawt6NB7DY4vJKT6sX\ntQ9+3JZmHVSpg74wEPszXDVxBEAVITK3BLHDh6m2AwEwWU04XQIzFocIql288/ROxp83mZvuvS6h\ngulPXz7cNFtivIYkQn2eDlXnnqqv68kkVyVnnKeSPg4V/Rn3zZs38+CDD5KXl8cjjzyS6Fw3ffp0\nLr74Yjwezyn3rRgtDLuR//Of/zzkz+h8MEBFRQUvvPBC4r1AIEBdXR0TJvTe9qc6j9HA65g1axbP\nPvssu3fv5r777iMWi7FmzRpmzpw5rMb+ZAKWRv2wPnGN2vLhMrKpvLzksfWVtDISnn16ThqX33Yh\nnc1dTFs2GQSNq3JX03SkhVg4xr4Nh9j6yi7aj3Ux+7yplM4aR+6YLLxdvl6UTTgQ7uNbTh39Gfih\nGH/96imFLjSrCaXYhdTqQQpFcWTacWTmsm9XDjV7Kjl6UEIM7kK4dlnCuCXry42vJxvQkYg5DVXn\nPhyZs/2NI7n6pN4AfDDn78+4b9q0iV/84hcUFBTwq1/9KqXdEQThE2Pg4WOQUHq9Xnbt2sWCBQuQ\nJIlXX32Ve+65h3/84x+UlJTQ2dnJqlWreOCBBzjrrLN4+OGH2b59+7C0B9Sxd+9e7r33XiKRCGvW\nrGHWrFkpEy8Ga+xT1W9PVdlyMEilgjgVY59qbIPhNUe6EYRxbPrD9tb/vUfN7npc+ZmMn1PKlld3\nIEki5//H2fzp+39HicaIBCPxXq865SGA2WLC4jDj6/L3WwIhnuEqgHaCUOk1wYeQutqXke/rFAKg\nOixEJuQhBiOIDZ3IOU6ml+Rx91PfYsur23nnb5sIB8LMPX8mn7vrsl7nTpZAAgm11Ei3jkweRyoa\nUtfgD2fmbH9InkP9ze/+jPv777/PL37xC4qLi/n+978/LJ3qRhl9PsyjbuQ7Ozu55ZZbqK6uRpIk\nysvL+eY3v8nixYsTx+g6+aamJmbOnMnPfvazfnXyJ4t9+/Zx7733EgqFWLNmDbNnz+5l7Pszsn1N\n9OHwpJKN/VA96uSxDcXTST6P0agMh7wu1dgsFgsv/c8bVO+uw+ly8uWffp497x0gd0w2297azQcv\nfkRrXTszzpmCLIlsf2MvkllEQGDK0klse2Mnvs5Av9+bmMySCCkKnmkCdF5QTLjYQebGFhyHugfl\nxScb+/6MPIDZbkaTRcSiTCZOLuL6r6/G3drNjnV70dA474YzKZ9VklDSJMaXlG2s11EZyLiNJHQ6\nRk9c0jHaxftS7VSTk51SGfeNGzfyy1/+krFjx/L973+f8vLyURnvCOD0MfKnI/bv38+9995LIBBg\nzZo1zJkzp19jP9L6diMGqriXjJEa26k0ZzaOzVhGwmw2IwoSBzYdJrsoi+xiF4c/OkrJ1GJc+ZmJ\nz1XtqObV369DlAS8HX6i4SiZhemE/GGiwRh+d4DK7UeJhvqvLpkoNmYxISQlUwnEjXykwIZvZhYC\nkPXGsaEFYQVQbTJSIHbi+wyf0f+nbMY4TBaZJVcsZNVNZ2FPs1G1o5q3ntiALc3G5793eUJyCqmv\nvdlsTvQ3SDZuo51EpFM30DO5ajSVY0Yk91fQYTTuGzZs4KGHHqK0tJS77757QOXeJwCfGfnB4MCB\nA9x33314vV7WrFnD3LlzexnNj2sS92fsUwVTR6pxQ7I3ORiPrb+s2X899yFbX9+JKIl8+YHrSMvq\nO6lnx9t7eO1/13OsspnsIhexaAyr00LAG6R+fyORYITIEKpMpjLCqklAtUqIgRiiYjjmOM3T57kk\ngWhxBmgalvrulMcIImQVupi7cgbHDjdTNKGA2edOZ/nVCwHwdfkx20wJDfxQdlF9BdRHan72t+iP\nphOUCslzFODpp5+msrKS2bNn8/TTT1NeXs7dd99NaWnpqIxpFHD6ZbyejpgyZQpr167l0KFD3Hff\nfXR1dfHNb36Tmpoajh07xq233tqjtdhoeinGImTGRJHR7FYF/XeKMlbgHGwQ2mKPe6yyLCGZ+t/a\nzz53OmarmW1v7KJ2fwMmixz3im0mrvrORWz95062vrITX7cfNab23fzb+HuO/62bbzGqIUZjPd8X\nAE3r5fFogHC85ruoaJjr3H0+aVanhQlzy3DlZXLd96/kpV+9jq87QF5JTuIYpyuuIDuZeEhyEbDh\nUqAkYzALT3JylX78yVKGg0UqB8RqtSbGuWvXLtatW8fUqVO59tprP00Gvl985sn3gZaWFh599FFe\neOEFVFVl5cqV3HfffYnEiOEKjJ4MkrfIMLqNQ5LHkhz4kiSJWCw2qBpBmqZRu6+ejNz0HhRNf1AU\nld996080H22hqKKArz58I5qm4fP4uevc+2g+2hIPzPYze/ub2H3dyf6CrH2dSDbJWJ0WsotclEwd\nQ3ZRFl+45yo0VSMciCQMe/x3DW/QPVXP35PlyYdKGxoxlODoySDZuBvjV++88w7//d//zcSJE1mz\nZg2VlZU88cQT7Nixg02bNuFyuU75+08TfObJDxU33ngjzc3NXH/99Zx55pk89thjXHfdddx5550s\nXLiwl9RwNIx9qofWqB32+XwJ72U0647oRjwUChGNRhOFpgbrgZZOHzek75SO93+tP9RIW0Mn7cc6\nySnOQlAFTCYZSZZRogPUtxGFPguPJTcB729B6KthuCAKjJ9dws2/+Dcqd1QzfflknBkOMrIzkE3x\nx85kiVcxHEzpgZOBsVXfQP15+4JeffRUVFYjkVwFvZ0do3Ffv349Dz30EFOnTuWJJ55g7NixAJSV\nlXH++ecTDAax2WxD/s5PIj7z5PtAdXU12dnZPXT3VVVV3H///TQ3N3PnnXeyaNGiYfe+UmEwHOfJ\ncOXDgWRu1tgtaiiSzaFi47Mf8vJv3sCebuM/HrwBVVHRVJX9HxzmX89voXLbEUK+1IZeMkkooogW\njcbb66XAYI18quOtDgtOl4NZ50zjG7+9uU+lk37PRitgmpyY1N93nqq6a6BxnEoMqa94gCAIrFu3\njocffphp06bx3e9+lzFjxpzyeD8h+CzwOpw4cuQI999/P42NjXznO99hyZIlI6JvT26WPZhzjkSH\nn1QYaOEZadWHoqjsWLcHR4Ydm9PCk/c8C8AXfngV297czY71e9i/6TCaIUtWkkVMVhMms0wkGCV8\nXGEzEA0zFCPvzHJwznXLmHhGGRPmlFE0oeDEeVLQbKOthtHHkRwv0eeWvlscLTpyKI17+jPub775\nJo888ggzZ87krrvuori4eETGexrjMyM/Eqiurub++++nvr6eb3/72yxbtqzH9vZkPKCheFsDnSdV\nsaVTNfbJ1MJgPDDjZ4bbqPncfn5z2+Psemc/JqvMtd+9FE+nlwObKjm6sw5vpy+upV80gdnnTUdR\nFd56/D26mt2JMgmD4dr70sFrgMUqI8kSZquZgrI8vrv262QX9axpkuq+ftwad+i9WAOjYtyT0V/O\niXEuQ0/j/sYbb/DII48wZ84c1qxZMyL5NJ8QfMbJjwTKysp47LHHqKmp4YEHHuDBBx/kO9/5DsuX\nL094RDqFMpCxH0xbvaEgubhTKBQ66daEgymJ0B+MdbiHu05P3f5jBLwhVE3FbDfTVN3KtWsuYcay\nqfzpB/EeBCaLiXtf+x6SJLLlnzs4OKmKtCwnNXvqgcF1kUp1jMkkYXFYyC/JoffjJlQAACAASURB\nVP1YF9nFLpZeMb+Hge8vvd94XXWO+uPw6pMdPZ1O0em20UByH9ZwONyrKKHxGXrttdd49NFHmTdv\nHk899RSFhYWjMs5PIj7z5IcRtbW1PPDAAxz5/+2deVyU9dr/38MAwyIqoiiecslwyQ6vo5bHfFBR\nEJBwQxM5R8xQc0ESUMqtTCUpTdwjPZnacUEpwTT3hZDyUdR+nY4nDDsqpgnixjrsvz987ruZcYZt\nNgbv9+vVwjBzzzULn/t7X9/PdV2//srcuXMZOHCgVleCqtgb0gFRE9oaRdUm9vWdcFVXDJXvrays\nJP9BASnrDpOVcQ2nVs0YEe5Hz/7dAMg48v84vPkk/lOH0HdYL/Fxebfuk335N5YErWrwawDo7NGB\njj2febwKLS6n99A/4x06AGsb63qnzbRdIRmrG6gg4kql8olUmmobDNUVtalbJqj+TVRVVbF27Vqe\neeYZnJ2d2bx5M3379iUmJoZ27drVcrSnBildY0qys7OJi4sjKyuL6OhoBg0apLZSB8Q/KGMXL2mi\nTbg1p0RpW30aql2DKg2x5dW16Ofy91eID9uEvZMdAVO9CXjTW+04qydvInXP93rF7zH4BRbsnk1Z\nSRkF9wt5plt7nS0b6nrSNmYhka4rMl19Xoxxgq8JXd+HiooKFi1axMmTJ7GysiIoKIiZM2dKq3d1\npHSNKenQoQMJCQncvHmTuLg4Vq1aRXR0NAMGDCAjI4OWLVvSsWNHwPT+duGEojqaUBgMIcyzNPZV\nhYCuAi9d7qH69Eq/dOwnKsoreJT7SGuRVdYP/613vDLZ43/JAPvm9vxlcE/sm9lh38wOJ5dm4gB2\naLg4qxYSaXZZbOhnofne1aUVseb3xFC2R23oEneZTMaBAwfYsGED/fv3JykpicOHD7Nnzx5+/vln\nvvzyS4M8f1NHWsmbgF9//ZXo6Ghu3rxJUVERkydPZurUqVRWVhq1y2Nd0Fy1g/kKq7TZMVUdH/VZ\nUV7J+JV9qw/h2sGFsLiQJ+474y/vcPvqnTrHZmVtRY+/uuMV0p8er3SlqqKSjj2f1atIqC5o26up\na/rE0Kvxhmy614Su9w7g66+/ZuPGjXh6ehITE0Pr1n9UBhcWFlJcXIyrq2uDnreJYnnpmp07d7Jv\n3z5++eUXAgMDiYuLA+DHH39k7dq1XL58GblcTt++fVm4cCFt2rQxV6g1cvPmTYKDg7l//z79+/en\nZcuWXLp0iaioKHx8fJ5I45hK7LWlPYSSeH1cPYaKTZiYJVDb8PH6kHfrPgsD4ribfQ9bxePiqcKH\nOiaPyUBhb0v/oJcJWzFep9XQmDl0qF/L6Lqk5PRBW6O5+ly16Nqnqq6uJiUlhYSEBAYOHMjcuXOf\nmBJnbnTpkiobNmxgw4YNbN26Va277sqVK/nyyy+RyWSMHTuWuXPnGjI0y0vXtG3blpkzZ5Keno5S\n+cfUn0ePHhEcHIynpyfW1tYsWbKE+fPn89lnn5kxWt04OTkxceJE/Pz8xE53t2/f5qOPPmL16tVE\nRkYydOjQOqUsDEFd0h6mHpGoirCaF65wrKysqKqqEk9IhtgE/FfqfyjJVyKXW/Gnbu154ZWuHNv2\nLcrCP75nVnIZz/fqzLM93OjS6zk8g/pibW0t9oOBP/r4mMJqWFPVqPD5AHpPYaoLcrlcTLOpDv6u\nLaVUk7jv27ePhIQEBg8ezIEDBxrtWD1duiRw8+ZNjh49+sRVRmJiIqdOneLAgQMAvPHGGzz77LME\nBwcbPeZGK/I+Pj4A/PTTT2pv5sCBA9XuN2HCBEJDQ00aW31o2bIl06dPV7utffv2rF27lt9//10U\n+9mzZ+Pn5yeKvfCHYyix17a605WX1WZ5NLbY19T4SjX2oqIivTeCXxzQHbn149YIVy9e49qP2UA1\nVnIZVZXVWMmtmLB4DGOiAwH1qx5VhMZwQldSUyCTPR7Jp9qIrKSkhJKSEvE+1tbWODg4GD3dpjn4\nW7iy0bzKUP1shZOVQqGgqqqKL7/8kk8//RRvb28OHjzYaMVdQJcuCSxZsoSYmBjef/99tdtTUlII\nCwsTxT8sLIykpKSnW+Tryvnz58X5i5aGm5sba9as4c6dO6xYsYI1a9YQGRkpir1qB7+Gir0u/31d\nVneaowmNMYe2Lh0XVTcBVcW+oTlm1w6t6fTis9y/8/BxDBWVKBxscWzhQHv3doydM5xe3i/WeNWj\nmj7Rd2O0IchkMuRyufj5qKZdjTH+r7ZYVGsyhIHbMplMbD2sKe5JSUls2rSJoUOHcujQoSbRKOzw\n4cMoFIonFqLwuCVKt27dxJ+7d+9OVlaWSeKyaJHPzMwkISGBhIQEc4eiF+3atSM+Pp6cnBxR7N96\n6y2GDRuGra1tg8TekP57uVyOo6OjQZuyNaQpV02OD11WwJqwtbOhXFlBy7bN8Rj0An9bFES7zq5q\nm9G6rnpqarlsbF+5rj5FMpnMJCk/XQifj1wuFwfuVFZWcvfuXTIyMhg2bBj79+9n06ZN+Pn5cfjw\nYVq2rFvn0cZOUVERa9asYdu2bVp/X1xcjJOTk/hzs2bNKC6ueZKZobBYkb9x4wZvvvkmixYtonfv\n3uYOxyC0bduWVatWkZuby8qVK1m3bh0REREEBATUWeyNOZtVELuGDvuurw1SF6opi4ZWjP41sA9l\nJeW8MvIlAmcMFeNTFfe6VB1rrmL1vcqoibpM52pIrtxQaBa5CZu9QkfI+Ph43N3d+eKLL+jatatR\nYzE1GzZsYOTIkTq9+w4ODhQWFoo/FxQU4ODgYJLYLFLkb926xRtvvMGsWbMYPny4ucMxOK6urqxc\nuZK7d++KYj9r1iwCAwPVNmgFsVftaGjodrXa0BT72lo3aOvbUptPuy4IYq+6sq9rSsl/8mCGThqE\nXG5VY+uB+sSimVIqLi42iNjXd/Sirly5sYratIm7ra0tlZWV7N27l88++4zXXnsNKysrUlJSCAoK\nYteuXXh4eBgsBnNz9uxZcnJy2LVrF/B4lnVkZCRTp05lypQpPP/882RmZvLnP/8ZeDyFzlRp5kYr\n8pWVleLgCcGyJZfLycvLY9KkSYSGhjJu3Dhzh2lU2rRpw4oVK8jLy+Pjjz9m/fr1hIeHM3z4cBQK\nhWgzFFIyppgMpYpm4Y7wj6rAatr+DCHu2tDcP6hLSsnKSia+h4bq2FlTSqm+G9f6DlE39lVGTeK+\nc+dOtmzZwvDhwzl27JjYsjsqKoqTJ0+KxYCWhi5d2r59OxUVf0wUGzNmDAsWLGDAgAEAjBo1im3b\nton5+m3btvH666+bJOZG65MXvKaqX8Lw8HAANm7cKDb8F5wNly5dMkucpuTevXusWrWK1NRUvLy8\nyMjIwMvLi8mTJ6uNJTRlHlYVTVESMEf/k5r649Q0GNsYaO4/1HaVYawCK0O1f9bVVruyspLdu3fz\n+eefM3LkSCIiItTy0I0BfepvVq5cyY4dO1AqlchkMvE9Cw8PZ9asWWrP4+3tTWxsrJpP/uOPPyYp\nKQmAcePGMWfOHEO+NMsrhjIUNRUvnD17lqVLl3Lnzh08PDyIi4tr1K1KKyoq2Lx5M9u3b+fhw4f0\n7NmTV199leDgYHHTTXO+pSnFXlM8BRrTiUcul4uTq0wdl7YTj6p4G3NQhyb1PfFoi0/Vt79r1y62\nbdvGqFGjiIiIoFkz3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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = scdata.scatter_gene_expression(['VIM', 'CDH1', 'FN1'], color=scdata.data['ZEB1'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

3D scatter plot after MAGIC

" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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76/1DpkZe+w2lJp8NS5WKZhQ8Hg+iKFZ8o5UZ2VR7mSWsT0T3IakSxyN7kPyS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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = scdata.magic.scatter_gene_expression(['VIM', 'CDH1', 'FN1'], color=scdata.magic.data['ZEB1'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

tSNE map colored by ZEB1 expression (before MAGIC):

" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "scdata.run_tsne()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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GVR+L/6OAnBbnnWPq1jEsPDmDah9UNDn/+N4Tfh7xK+d2ixQY/3WEUhIIXpOzOy+y6+eD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H1VAKFCrUf/HJCbj3AWVxAFKpFEWxkvNbrxH9IZaigmIC778vpRaur2GWGJEsFtwr1auIgaGc\nRSdmsH/BMV7deCveM7mhHGWxkhotqvLj7vHkZOSye84h8ThqtZrZbZoRdMGfghcxeE3sTa8pQmq1\nSY/6egMdCIPkpZ03qduuhlgnAsE6Y+PE3WjUGjQaDe8efaJS3Yr0nNRJr47iWcud1UM38+ySQCcv\nzCsiNzP/fxWUNBoNeX+xoHh89oXe/xVruuPo5iCSYZw9HanfqYRVGR+WJDIiAXybVCE2OI7stFwe\nnX1OYmQyLy77Y2JhgrmNGabmxlg5WFKzpS8n1pwTa0a5GfmgVYNvP6ylIHOkrS+26NeYfjO7021c\nOzQauLrnNs8uCp+/56TO4mrd2sEK1yrl+WPpSR6cfsakTaPYM/ew+JswtxFqghKJhKyUbPH71wUf\nA2MDMUPgUd2V1zcCkBvIvmpfUoZ/D8qIDt8AdKuc5Jg00uIzxBx3dKlZaEhEMpfvvqPoL30X/Wf3\nwNnTEetSFOW0+AxKM5MNjQzwaeDNjBaLeX0jAANjAxp1rcvR6B16QSkvK1/sbC/I/bqlt0QqNJn2\ntBrGIPcJousrIHonLTw2TbyOh38+Y2brJczt8DM5GSVEARMzY7xqeQAC/TpD6zYb8S6G+09DCI9K\nodfkzsjkUsws9ZsYi/KLUCnVuPqUx8ndgd5Tu9Cou6AL6NOwEgZGclp814hx64fp7dekpx9j1w5l\n5IrvcfUpT3hgFIu7ryY8KErP6rrnpI789mA5q64uFK7V3FgUugU4v+UaD3beQXIoENPgDA6v+JPs\ndGGQ+25mD4Yt7U/fGd0wMjGkWtMqnFh3jo0TdjGq6jQ9wdmHZ56hVqnFICqTS6msVVMfuqQflet7\n4eTugKWthVi0B+gwvCUe1VyJfB/D/M4r9CxDQt9EsHbkFkFw9Wvfn0TCdzO7f/F63xndaKN1cX33\n6BMGpVyDk6NTmOQ3j+NrhGZiF09HGnati5W9JSN+HsiGe8uYvnM8cgMZvo0rY2ppwvaZB8hJzyUh\nLIkekzqz5sZPmFqYIDf4cp4sk0vJTMkWn/s2g5uL1DQZ9gAAIABJREFULrnGZsaYWpjgVrWEtJKd\npk+k0KV2C3ML+XXUNpE4Y2xmRHxYIifWnic5JpXK9b2YtW8iY9cNY/m5OQyc15sDwZsYvWYIDbvW\nxdjcmONrzrGw26qv3rsy/HtQtlL6BjBm7VAkUikm5sbYl7dl3qEphL2NZMC8XuRk5PI5KJrZO29Q\nWKwiNCqF/i19MbM0xdLOglErBzFq5SBWD9nI7aOPxGOWNl2r0sCbzJRssVlVUajg+dU3JEUmY2Fj\nzp1jjzi07CTth7Vi4fEZhAdE0nl0Ww4tO0Xk+xia9mpAXmYe3vUq4uPnzdhaMwFIi0vH2r4kGDq4\nCQO3qaUpHtVdS2R8NEKdx8reAkMTA4oLFES+i2b02qEU5hWSEJFMl9FtiQ9PQuFsxaK1FzAylHNy\n5xhGrRzE7SMP2THzIDbOlkQECsc0MJITHhiFS0UnvGoJKt4Lj03n8M9/oihSkhqf8UXPkFQqpd+s\nHigVSjobfQ8grmrOb73GiJ8HYmlrTufRbcXBU1Gs4OzGK3w/vzc5GbnsW3AUjQZeXn9Lm0HNuHP0\nEVkp2Wybtp9nl15To3lVfr4gpAwNjQ14euGVuOpRKdWsHrqZE3G7ABi86DuSIlMoyC2k7ZAW9JvV\nnTtHHnFu8xUGLegj1uCOrznL3INTOLH2HMEvw1Ap1WQkZXJ8zVleXQ/g1fUAOo5sjaOrPZsn7+HD\n0xAen33B+cw/vvq89Z/ZnbiQeD77RxAfmoiJhTHvnwRTXFgspl4j3sdgaGJIcUGxSAY5tvoM/Wf3\n4P2TYGbvnyRK8BTkFvDgz6c07dWAGbvHY2phQpX6gr6epZ0FddvVEM89aFEfPKq7oihWcGjZKWzL\n2TJu3VCSo9P4+DQEV59yzDkwCZlMxtFfznDwp+N0/qEtPSd3ElXHze0sycrM48r267y6HkBO5pds\nRoAKlcuJSvV75h3G0s6c/cGbsLQV2KoNuwoTmQGzezJgdk9+H7eTT88+/1Np8zL871EWlL4BOLrZ\n8+Z2EDnpuRTkFrL4xI+0GdQcpULJSJ9pJEYkI63uBlXKkfwmguE/bMfc2pRdQRuwL2fL+yfBPLn4\n6m+P/+7hRxZ2/YWekzpxeddNlAoVGrWG9T9sZ4f/Og7/fIrYkASOrTrDsZidhL6J4P1jYeC5tPMm\n1/bdZsDc3jTXarH1n92DU+svUq99LRp0qcOp9RcwMjUUV10ymYyfL8xjVNVpomgooMcS1Ghg9+xD\nSCSwM3A9zy/6c2nnTSS3g5C0rona2oy9C4/x4vRTNBpB4keX9gHE4yaEJ7F9xgHe3n3HlT03MTEX\nmIESBOO2t3fe0bhHfSy0aZyzm6+SlSLouYUHRGFbzpqi/GJeXXvL6+sB7H63QW82f2nHTXbPPQzA\n+jtLGLdhBE/Pv2TY0v44uTsQERRNWnwGt48Is/Vnl16TnpiBubWZaAdSs6Wv6PnjUa2CeGzXKuWI\n+5yAWq3hyu5bdB/fgW3T9wNgaGxIsz4NeXHFn1YDmmJpZ4FaqRat7IuLFLT8rjF3jj7Cys6CtSO2\nMH3HOKr4efPhaQg+DbxRqVTIZF82gZpZmeHs6SjqJBblF33hjxTyMgxTa1McXe1EIkJBTiG7Zh/i\n9G+XcPZw4MDnzchkMh6decG944IEVd32Nekyuh1zDk5mTrvlGJkaITcU7qdarWZq44WEB0bRf1YP\n9n/aJL6+qPtqcjPz+PjsM+tGbKPfioHsfxJMcQ037p58wvSd49juv5a46FTWH3xM3oFHqB+/Q5ot\npP+sHS3JTsvRY1O6VhVWw7paWXZaLikxaWJQ+iumbBtNhxGtcK/m+tX3y/DvQVlQ+gYgkQjW0DkI\n2nc6FBcqSNUKmjao6ETr6V2JvxXIC42GnIw8UmLSsC9ny7I+6yjIKfzb4+vUm6vU99LTxrOwNefU\nrxfEvo8mPf04suK02A/l09CbvfOPkJuZx85ZB/ltzHaqNq7M8vNzGfpTf/E4JxJ2I5NLMdIWrc/e\nCCApNZs5h6exfthmvdQTCIXyXC1jTaOBSfXmMUjbICuTy5gwoiXV61VkVvUZgi3F38DQxJD2w1qS\nplX/1qgRrQxcfcrxg+90CvOKqNnSl9TYNPKyC8TUjk7rztnDkbaDmrNp0h7khnKMTPTtyh1chbqN\ngaGcOZ1WopFJWHJ1ATVb+AKw8vICBrmNF7c3tTTB2tEKqVRKp5GteXrxFd3GCf1mYW8i9ajcmclZ\n4ufTaDTMaL4YC1tzctJzeXM7kD3vf8fY1IiigiKW91tPyMuSWlVRfjE1W/rSvE9DHvz5jMy77zm/\n+SqTNo2i97QupMal08d2JNZOVmx++gufXoQikUrw0ypu3D/5RDyWWqURz1sa+Zn55GeWSCZVbViJ\n1DjhecxIykKlEIJe9WY+mFqYkJ9TwIXtN+j8Q1ve3H4n1uiOrDhNzKc4OoxoKa7+zm+9xsgV31Nc\npGDz5D1i+hbg/qkn0LQK+SaG4O1CP60li0at4cTu22QWCEFGam2ONK8QtVr91d6ou0cfUb9TLV5d\nE5iGtVpVw6O6K1f33sbW2VpcKekgk8nw1bowl+E/h7Kg9A1AKpWy8clKPj3/TKNuJT8UjVrN8vNz\neXL+JQPn98bJzYH8mu4U5hbi6OZA1YaVACgs0K//SGVSlp+fw6Juq8XXTCyMifucoLedgZEBu2aX\nFPBjQxKooR1srR0sBQmaoS24vOsWFtZmJEWm8OLKG9Li0ikqKObYqrP4dapD64FNxWN8CE1k3R5B\nq62RmZEYkJzcHajWtAqPzjwXA5IOimIle7ZdwbJFZXyNTWhQ3RUvn/L0nt6Vyztu6jGvSqO4oJjL\nO4W+F12Q0eH942DRvjw1Np34v+jv1WjhS2FeIYMW9KVB5zq4eDljX15oxLyy+yZ3jz+m/5xeNOvd\nkB1v1nF47TkeHRNWA7//epamLQR5GnNbM6o2qsRn/wjqd6zFwuMzkEqFUu7MvRP1zlmrVTXysvPF\nGpm7rysz90zgw/MQru6+rXdf4ouUDOi5hu2HphLjH87D04JPU/VmPqTGZ/Diij+Le6zWs3fISssm\nJTYNF08nbh9+SH5OAfk5BVzadZP9CwWrkVXXFlG/Qy0sbC1IjCjpU/prQJIbyugxoSPnNl9FrdYg\nM5Dx+6MVZCZn4eZTgVqtq2FoLARwl4pO1GhRleeX/QnX6hW2GtCEF1f9MTQ25M7Rh+RnFxD08CMy\nuRS1SkNbbf3qjyUnuLb3TsmJJYJVSvNGlbnzJJjKno4MmCCI0+5dcISPV98greyKRialnIGUH68u\nZG6HnwEo5+2sR8wBKMovESJu3rcRF7fdYOu0fQBsf70W7zqeANw8dJ+ctFwxTViG/xzKgtI3AkdX\ne71i+uqhm7h95CE+DSvx6flnwgOj2Ph4JaYWJoxdJxTwlQoli7qv1lslmViYUKdtDTyru+nVdQpy\nCgm4r2+vrWsg1NURQl6FYetsxYyd42jSyw9LWwsmbRzFpI2jCH4ZyubJe/BtXAVHNwcW91zNs4uv\nuX3kIU161hdXSQ62ZsjUGlQSCLjzDiOt74+hiQG+jatwp1TdC0qCiSy3iPyHn3mt0aBRq+k/uydX\n99z+24AEiLYPAAbGcooLSgbo3Kw8pDIJ9uXt+On0THbNPoRUKqGctzOWthYMXzZA71g+DbzZMmUv\nt488FO9HTkYefh1r41XLgwEzu3Hn6QdUxnJ6lJI2WjVoIx+ffaZh17p69POvYfXILVx/FkY1P282\nHZiIVCpQzjuObI1GpeHOsUcUFxSjkUpQ+FUiXSpl8767zB/fTrymzJQsUmMEPcHEyBSWn5vD2c1X\neXTmOXePPSYuJIGtL9fQeXRbQl6HYetsg0epdJQucMv/wcCrLFYR8S4Gvy51eH7JH/vytkgkEmyc\nrMV+Jx2iPsRgYGRAtaZV6DSyDcamRhibGrHy0gLePfpIZnIW7x59EtNoc/+YQrshLdBoNF8QH9oO\nas6M3ePYPGkvtRMymLG0PwYGwrXWaVODF1feIA+JRaPRUKlPQxzd7MWg06JvI46vPSdS2eWGcn7c\nNY4VA38j8l0MO2YdxNCoxP1Wp+kX9PAja4dvEffRyS2V4T+DMvbdN4qX2h6VSG0fzWf/CLHTXofE\niGSxCdJUa61dkFPAk3MvWDHwN9EC+x+h3ZDmVPHzwsTCmGeX/Dmx7ryevhlAFT9vtjxfXdJA2bAy\nINhK62bM2ek5vL3kTycrU0yuByCNSUMmlyGRSGjVvykNOtfGuaIjUq1wp1QmZd6hKVSo54nKzEg0\nsEuJTWNexxViKg6ElJ+uNgEwatX3HAjZjGd1YcDV/CXNl5GYhaGxAQdCNuFV04PV1xax7Nxc3Ku6\ncu/EYy7u0FcKXzVko1gX0h2rWe8SPyOfut6s2TKOqubmWMaUpIp0M/O/rkK/hocvI1B7uhCUmseL\nUrRxiURC/9k98GngjZO7A3VaVcNMy9Hw8hDYdx2GtUIiERQUVNrB3bdJZXwbV2HI4u9QanuvQl6H\noyhWYOdiw/Jzc5m+YyxNevgxfFl/7MrZ8ELLytNRr78GnQDsm9tBojJ8RmImuVl5LO65mtntlpGe\nWOJPtWXKXh6deU6ofwQdR5Z4gN078ZgZLX7i3eMSNfjqzX3ISMxk0MittBz4Gzn25nQc2QpjM2Mh\nvdipDrcPP+Dyrpu8uR3Exe3XtdebxfsnwRiYGIiBNTk6FVNLE2q2qErDrvUYsWKgKOwK8P2C3nx8\n/pmwt5GolCqURUryswswNDagy5i2ogyVpb0FBtpny9blf6cSUoZ/HmUrpW8U03eM5cbBezTt3YB3\nDz9SWVsPMjQqmWeUr+RCl9Ft+ewfzrBlA/h93E4yk7NQKdXEhyXRbWx7UXH87yCRQLM+jdg8aY+4\n4qrdqto/vL6uY9vRakATrJ2suHX4AYV5hexfdJyc9FzMrEyRag3Y5IZyhi3tz70TT0TqspGpIY5u\nDti6WBP8Koz+EzqxYfR2NED7YS24+ceDL87315TfvvnHOLj4hBjIvmZRoHMmLS4sZlrTRUS+i8bU\nypTs1BxOrj1H9/EdxG0Ttb4/xmZGtB3cgtiQ+C/UsC/vuEnkqwgiX0XgXs2VVv2bMP/ING4deqAn\n+vp3MJdArlqNRAMVtKnCvKw8tk7fT9DDj+I1bHiwHEtHKxKTs/HQ1rRm7ZtIUUER9048QaPW0Gd6\nVwYv6gvAqfUXxNWBc0VHDAy/1AT89CKUtPgMzm2+yoifB9JzUicOr/iTlv2boChUkJ9TQEZSFha2\nZvy4dyJjqs3Q9vUoMTY3ZsGRafjfDBR7he6ffErvqV0AqFS3Im/vvserjqce4zFZu6Ir3YRbuZ4X\nO+cfoaCnoBBy8tQzTJ6GoNFoqNnSFxMLY5b0WguAzEBGfFgi6YkZ3Dh4n0elrOYBbMtZc3nnLd5q\n/a7ePfzE6NWDWdZ3PUqFikNLTwkGgTXciP4UJ1q6FxcquLj9BpM3/4BUKsW9agV2BW2gIKdAtNco\nw38OZUHpG0Xzvo1o3lcQ+owIjGbz5L3cPf6YDsNbcevwAwbO641fx9qizTPAwc+bmdl6KcEvQslK\nyeboqjNi2ufvsOnpL5hbm4lW4V3GtmPGjnFfbKczwAO4tu8OG8bswL1aBazsLQi4px/4SvsJ5Wbk\n6dWtQCjSxwTHEfMpTjTQ86rtTnJUKh1HtOHTi1CRfPE/QaVUi5JENk5WZCVnY1feFo1G6HuavPkH\nlAoVn55/Fj2k1Co1hsYG1OtQi6KCIl5dD6Cct7PYE6ZWqbl/8jG5mfkkhCfx24PlhL6NpEHnOrT+\nvhnPL78WmINzDtGqfxO8anmQEpNGYb4QhGND4tk6bR9etTwYvXqI3vVayyWk3Q/E2MSQ3NhUKGfD\njYP3uXnwvt5260ZsZd3tJXi42pGXlce+hcewK2dL3cFNuRoag2FoKue3XqNCJRfCAiJ5qTVEBESl\njfiwRGxdbEQDwC6j2xH2NhK/TnWQSiX0nNyJvjO6sXXaPrEu59ukCmFvInl19Q1bnq/itzE78L8d\nROsBTWncvT4ZSZl4VHOlML9IFOUFGLtuGF3GtsfRzZ7SaNi1HrvnHNZ7LSc9F4lKjcG7aFTO1hh8\nisPFy4n40ESa9mxAZlIJw1KlUPH43EvkhnL6zeopuhLrkB6fSZ3ZNTi5/jzWjlZ4VHcl5HW42O8E\noFKpResQnXo+CKtTXe0PoEIl/UbrMvznUBaU/gsQrJUK0qUiCnILKcgpEJlUOoS+iRQto/9RMNJB\nbiCnQuVyzNg5joigaIb89B0gWDIkRaaIjLWV3/9Ghcrl2PBgOYEPPqDRaIh8F4O1wz+2i5ZKJZjb\nmpNdWjj2L5fWYXhr2g9riYWNOfMPT2Oi31xBN83eAqlU8gW7SiKVYGFjRnaaUKDPSsnBwdWeqdtG\ns7Cr0PwYHhjJkZWnSYxIFntu8rMLUKvUvL4RwPoftnPv+GPKeTtjbG5MYW4hxYUKMRWWHJ3KuDqz\nyc3Io9eUzkzaOIp3jz5xcft1KlR2IfpjLAH33rNp0h5AUCGwsDEXe4eiPsby8/l5PPjzKVd23yI8\nIAoJUFSkYP/i43Qf30FUyTAwkmNfwY6EsCTyc4SBt7iwmEPL/+TCNiGFldvSG0WtCigq2CA7Hyie\ntzT+WHKSovwijq48g1vV8ux8ux65gZwmPf1o0tOP1zcD6Gs/ClsXGzY9XcnVPbfFfT88CQbgwtZr\ntB/akjU3fyI7PUekUNs4WbM7aMNXv+OvDeoOno4Ud6uNIqcAu4/xFCbnIDeQMXhRX46vOYdtgYJe\n83vTS+uym5GUxS+DN2JpZy5+ryDYrVep78XaWz8xpdF8cQXsUtGR6k19OJO2H5lchlQqxcyyxNLD\n2tEKtVpDdqrw7KiNJEg0IC3W0LRXiZ17Gf7voiwofePYMnWvaEynUqjwaeHL2zvvaNan0Rfbetfx\noH7HWsR9TiAzNZuC7EIq1nQn6kPsV72AABIikvCu40mXMe3E1zQaDdObLRZXF4bGBhQXKgh9E0HI\nqzCG/tQPpUKJb6Mq2FewYeesQ5Sv5ELIqzAkUgnZqTlIpALNHQkU5hbpB6RSqNnSl8/+4WyfcYC7\nxx+z6PgMnpx/KRSvlWoUhQr+CN/K3PbLRQvzcl7O2JW3oWGXuiRFphAeFMX7x8EkRaVgbmNG9wkd\niQtNoEW/JpzddBUQPIjkhnISwpPISsnGwc2BfG2PS0FOgaiarlFrSnpdJCUitee2CD5Oy87M4cVV\nf/xvBfFDtRl6NYhnl16x6PiPXNlzC41aw7OLr0mISGbFwN/0JggyAxkBd9/jfzMQ+wpCGk9RpGTl\npflc3nWTpKgUbh66x8m1F8Saou56AMykUsp7OxNXimkmkQrpSpVKJYrJRn+M4+3d96LSBkDg/Q8o\nipUkRaUQF5qImZUpRQXFWNlb0KBLXYIefsSvcx02TthFx5Gt8WlQ6avf2z+D4KhkCq1MwMqEQoUK\nknP4+PwzDTrVQaVQkRKTSo1mVcWa5K3DD8TAqMPwZf1x93VlSuMFqJQqMSDpPotardZLV+rIFCBQ\n7iv4uJCVmo0EIRgZGhvQ48eOlPdy/ts+rjL8ZyEpTZP9/zuqVKniAUTcvn2bChUq/KPN/59AJ8MB\nYorKws6CHf5rsStn87c/psAHH1gx8Dex70OnoKDDX1MgEomEX+8t0xMLVRQr6GExVK+nSYc+07sy\nYcOIr547JyOXPnYj/+XPqEOFSi4U5heRGpeORFKiSjHi54E06laPyQ3moVSq9FZZTXr5kR6fQWJU\nCm0GNmX8hhFimlGlVDHYfQJpCTpNuxKrCIAJv41Ao9bg26Qy7x8HE3DvvagvB4LY7ffz+7C4Rwm1\n3tnTgeToNL3BrzS2PF9F6JsITq6/QNvBzekzrSuD3MZToK2x1WpVDbtyNnosRNcq5eg6tj19Z3Rj\nQv05hPpHfPXYGpkUlYM5ZnnFFOUUYmAo/2otrbT9Q6Nu9USFCYCMpEy2/3gAZw9HGnWvx5x2yzE0\nMmDb67WiksHwSpOJD0vC1ac8+z78/sXxH55+RmF+Ee2GtPhCNaM0FEoVS3dcJSE1myrpBdzdIej/\nTd78AxvG7MClohPTd44Vn+WId9Es7r4aiVRCYkQyJhYmrLmxmOXfrdc+E/q0fyt7C04k7CYxIplF\n3VdjZGLIr/eWcXH7dS7uuIFjBXs9ksVfUaOZDysuL/iXDRPLALGxsbRt2xbAMzg4OPJf2beMffeN\no3EPPyQSCV61PTgatQ1HV/u/DUhhgVH8NnaHGJDaDGr2xbbKYiU1W/qK/2s0Gj690O/mNzA0YMTy\ngeL/ppYm4iz9a8Z5OljYmDN4UV+8anuIKs46OHs6iqZ8let7MXbtUNoMaiY2C8vkMhaf+lGsbZWe\nSz04/ZQFnVeiVKhEaRsdnpx7yacXoWQmZVHFzxuJRMKHp8H0cx7N+HpzxIAkfHb9ICuTy+g7oxsX\nt99g56w/eHbpNTVb+jJoUR/kBjI+PA3h8u6bQu+Y9vMnRqSIAcnMyhSpTIqhsSEyuRQHVztMLIzZ\nPuMA8aGJvLjiz4Xt18WABIIChU79QIcuY9rRd0Y3AMqXEmzVkTh0kKjUyBOzKdISUnT243+FLiBJ\nZVJafNdYfP2zfzhTmy4i+mMsPSZ2ZPv0AxTlF5OTkSemiAE8tcocXqUs6XXwvx3E8n6/snb4FqY0\nmk9qfPoX2+hgIJexcnI39i0dROr7GFRKFS+vvcXRzR6P6q68uvGWQ0tLdPs8q7txOGIbf4Ru4UDw\nRv4I28LSPutKPRMaJBLhcw9e1JffH61AJpNx4+B9YoPjCXsbye7Zhxg4tzdHIrbTsn8T8diWduZf\nXF/Qo096wrJl+L+DsvTdN44lf876xxtpMbXxAkFQVSKoMzy/7E+B1i5d17FfXKgg8P4HKlR2EeVj\nVKVWRHeOPUKlUNF6UDOOrzlHfnY+LhWdCHsbSa1W1eg6tv1Xzw1QkFeIk7sD8w5NpUJlFy5su87x\n1WexcbEm/K2QekMCC49Oo5y3C5HvY7irHaA7jWpNxZoeNO3dgMfnXgizYrUGiVRSsi+Iigx/hWcN\nN2q3qS6k2L5bT2Zylp4skQ71O9Six+ROZKfm0G5oC/Ky8nh+uWR1lBCWxJobi3l46hkxwfEYmRix\n6PgMzm+9xpYpe8VzqVVqUUVbqVGiVqtJiUkj+GWouHoJfhnG5zf6qx73aq4kRwustFqtq9OsVwO6\njW9PfFiioH3oWqL8rVapMdD2eVk5WH7x2buNa0/A/Q+oSxXzQWhUbtyjPt3HdxBMHrVY1H216CP1\n9OJryld24dOLUAyM5NTX1ieVCiXVm1WlelMfkV2nw/snwXpyRMEvwzi/5Ro//DIIEFammybuJjkm\nlRk7x+l5WdVtX0tkyR386QTnt1wD4MjK01T28+Li9usU5BQSHhiFsZkROem5zNg9Xs9GHcCvS136\nz+rBgcXHyUrJZsrW0dRpU52jK08DYGxhXHL/1CXPdekaFQgpaalUik8Db/4TUKlUrB+5DUMTA2bs\nHP+Pd/h/CGVB6b8cgQ8+kBSZQpOe9UWFbzTw/LK/GGxGrx5M9wkd+anXGgLvfxBUuUsxlB6eeU6N\nFr7EfIrl19E7AFh04kf2B2/k5NrznPpVkB1KLyUFk5mSxfLvfkWj0fDTn7MwNJIzueECYkPiMbU0\n4WTCbvpM60qfaV2JD0tkeKUp4r6GJoac+vUCu+YcElNxGjVEBEWx9PRstkzZy/mtwqBlV86WnLQc\nXLydcfZwICIwmqQorRKBREg/OrjakZWazSS/edRs6Ss21JaGVC7UqF7dCKDNoOZ0HCH002yZuq9k\nwJIIPVL7Fx5jw4PljK8zm/snn5CbkYtGA31/7IalrTldx7XH2NSIIZ4TyUzOxrOGK2Haepd9eTum\nbB3Nxgm7QIOe7YaRiSGV6ngSHhCJdx1P5h2aypvbQYyvM5voj3EYmxmh1uinBXWrO4cKdl8Epch3\nMfSd3o2r+24zevVgDv/8J4V5RXjWcEUml/FDtRnUaF6VDfeXC/ddu1KVSCVUb1qFDsNb4texDlUa\neIsqE0dWnObwz38CYOtsTZtBzXl57Q2ZKdmsH7UNtUpNz0mdeHTuBTlpOdRpK4it5mbmERYQyRUt\nceLyrluMXPG9eK2l+4dsy5UyKJQgUsB10K0s143cyqSNo8jPLuDA4mNoNIKi/qJuqyjMK+Ldo0/0\nmNSJ2q2r8/OFecIKUEuaiAmOY/uMg188ByC0JGz3X4ets/UXCvT/Lmydup9bh4XWBocKdgxZ3O8/\ncp5vEWVB6b8YwS8/M7PVEuDLVI8uIFnYmtFjUifysvIZs2YoFjZm/LH0pLhCAcERdt3ILXqFc7VK\nhbWDVUmhXQJzDk4S37+27y5BDz8CsKDLSmq3qkZsiEDj1hn86VDOy5keEzvy8MxzrOwtWdRttWin\nDQIV+cqeW1w/cJedb9fhqk0RmlmZsv7uUr2UFsCsNksFYVKNkNJJjkoV37tz9JHoh1QaVvaWYlrz\n7Z0g2g9rCSBSpuWGciQSCYoiBYX5RRgaG4pB4LW2gbQwr5DP/hGcWHue3x+tEGtuvk18GL1mKDK5\nlDptagg9VdpgW699TfKzC/j0IpRGPepx9Jczwj6NK2Nubcae+UfEBtzSaT4QAq53/YqYmBmTnpCB\nm2950hMy0ag1FOYVYWJlwqbJeyjMLeTz63DcqpYn5FU4L68FiBMIndZcRnIWzfs24tT6C2jUGlLj\nM/Cs4S72V+Vl53Nl1y2iPsaK598x8yDnt17jw1PBSlyXLpRIJNRrV5OOI1tRs0U1ru69zW9jd+JZ\n0w2Paq4kRqdwXpZK7N27LG4tBH9dcEyJSeXVzQAMjAyEVdBXSt7WjpYC21IDSZEpjFs/DLVaTWRQ\nNB+fhYjyUd51PCnvLTwbjbrV05Po+mubAgAjJLDyAAAgAElEQVRSkEqkFOUXs+PHA6y8tODLbf5N\ncNASWID/tRnjfyvKgtJ/MUqvdv6u8G5sZkxRfhFja/xITkYeFSq7kBQl1EWstPp2scHxWDtaEfe5\nJCg5aYveY9YMwczajEZd6+HjJzCxXt8M4MDiY+K2of4RRL+P1Z7PiBWX5ouMKhCIEyN+HoiBoZzT\nv1/Wuz4za1Oa9W7AhyfBqJQqJvnNo2qjymx7vRYnd/uvKjqvvr6IwAcf2Dh+F5kp2aK/kg5KhRJj\ncyPUCjXFxQokEgnZpVYZN/64j7WzNWNWD2HixpFYO1mTnpBB4+71SIlNp/2wlhibGrH07BwC773n\n08tQgh58xMndgQ9PQ1AUKYj+GCve84LcQk7/dhGNWoNXbQ+a9PRjwJyeFBUUM3r1YIxMjFApVUik\nEqI/xBERFE3kuxiSY1Jp2qsBp9ZfwKWiIwna5lkdNBoNn1+Gias8HXSyOo/PlJjzFeYVEfJKUIlQ\nKVXi3+6+FTi76Qrbpu+nYk136rStjo2TNbX+0iC9Z+5hLu28iYGRAX6d6hD06AMZSVl6z5gOV/be\nprigmJBXYewO2sDbu+/QaDSEB0TxR+hmRrdaRMEvDzkRk0g/ryr4uJUDhMD06w/bvujL+isadqlH\nanw6sSHxtP6+GcEvQ/ljyUk0Gg0t+zchOUYQky1fyVnvOfvrvbN2tKIgtxBrB0tUKpXYDAxgbmX2\n1f3+Xfh+fh/sK9hhaGxAy35N/vEO/w+hLCj9l+LF1TdkJGXRpJcfT869/OL9buPaY+tiQ8v+TcjN\nzCdXq/asqyM5ezrSom8jhizph6JIQdznRKY2FmaONVpUxbdRZfFYWSnZxASXGA763wrSCwKAKAza\nuKcfZlam7J53mHvHHzNoYV9Orb9AQngSgxb2wdDEELVKjbJYiaWdBVtfrMLBzR5jMyO2TNlHUUEx\nb+++w9DY4G8tBuQGcuq2rcnBz4Je2d4FRzm++mzJBhqBhi7+q9Gg+suU/OTa8zw595KKNd14euH/\nY++sw6O6t/X/GYm7OxZCEkJwiru7FIcixYq7U7xYKVIKRUuLW3HXokESCBKICyEh7jYZ+/2xJzsZ\nQk/v7557zj3nnrzP06fJnm0zGb5rr7Xe9b6BKItVvH/7gRXn5onZU+Nu9WncrT4gBFaVUoWNkxUG\nOlsJD283jq8/y8foJEIeClTmS7tuMmRhX0atGszZbVe4c+wRXUa3RSaXER+WIGoRxocl8lW1yVjY\nmCGRSEj9kEHTXg0pylfQekATtnyzR7zXT513P30AcahkT8bHTL3eYAli3sTz+r6QNcS8fs/p9P0Y\nGhuwrM96EqOSWXJsJl71q4mSVKYWxnx7YiYr+v9A0PWXSGVSqvh5EP0qTqS1l5SJq+mIEF8tHYCy\nWIVn7crEhMRT/CEbCeByNIqZh2ex6sJCkZZes5k3V/ffwczalHzdd3LS1tHcPnqf0McC2SL9Y4Yo\nn7VqwEbGbxwpsu6Cbr7ExsmKzORsgu+EkJaQrpeJfIxO5sy2y5zfflX8jorlXh1snKyYvnNcuc/q\nfxodv2r9D7/GvyMqgtL/QUQGx7C4+xoAJm/9GmNTIz2KsYmFCVO3j9WbWP9qWX8O6JhOUqkEmVzG\niY3n+RibwtITs5F6S3FwtyMtIYMeZcgMx78/x4tbr3lx6zXdxnXA0cOeFv0ac2rTBXFx7DGhIxd1\nqgAFWfl8U2+uePzh1SdJjRfYU6/vvcXezYaCnEKyUnLISc/l8aXnhAdGEf0qDlMrE/Iy8rFxsiLv\nM8Zth1ad5Nj6s9i72bLxzgrsXYUSyahVg0iISBSVtP+r+BCeKJYcAd48DGVi/XlsvLOCVQM2IpVJ\nWXV+ATZO1qS8T2Nmy28p1knyPL/5ipErBnH7qL7ArIOHcE9X9t1m1xzBZM+lqiN12vjpCeJaO1mR\nlZwtekypilXU71gHa3sLkt+n4VTZnuQyZcnPQSqT0nl0W70B2E/RtFdDnCs70KhzXeq0q4W5tRlv\nH4cTeE1Y9P849hCv+tUYuXIQ/q1qUsnXDRNzE5aems39U4+p36E2kxrOA4SHgZLBYoDH6WkMXLKH\nmf1aU82/Mr8uPS4GKgAUalTAmwfvaNipDtlpOXT5uh1fdKvP7SP3RaWParUro9VoCX0ciVQmZcTy\ngeL9JcWmsrL/RnGgNi+j9HuRnZrD6/uheir1qwZtKmdHXxZth7Rg+o6xmFr8Y3pJFfhr/FOCkre3\n9x9AY0CJQJ79EBYWVmFy/w+CkYmh6MJpYmFcblZEJpfqBSQAv2aljebxG0dwSkdeKJEEMrc2Y9/b\nzeRlFeDgXvrkWcnHDZlMik8TL2ydhUHRE9+fEwOSq6czk7aOpnGP+gSlpXBiyUnKFlRy0gQSgVQm\n+Wyd/+6JR6Ijbgkyk7OZ134FR+N3iU/wNw7e5fB3p1EVq0iISOL+74/pO1Vgh8WHJhL6NErvHCUl\nrhL0mdqVmNfvRZO8spIzZX/O+JjJk4uBROhmhQKvvaTjiNa8eRCqV8qKCIrGwEiOzECGWqnG2MyY\noYv60n5YKwDeBpQOgZrbmFGQW8hPU/ah1Wrxa+7N8tNzmdVqqeh11Xd6d3bN+vWzs2HGZkZUr1e1\n3OfkXsOF5n2/KBeUGnapy/u3H0Q78HsnAzAwkvPsWjAymZTeU7rQsFMdPoR/pJ2upySVSsVsRq1W\ns6DTKt49jmDa9rFY2gs9HpVSRadRbYh6EUPkm3iifWyQZGWzaPwOfLTCXz0u5ANj1w0nOy0HqUxK\nxsdM+kztyvbpv3B61zVMTIyYv28yvad0JeplLEbGRtRp7SdmmgBmlqZY2JiRm5mPkakhioJiCvMU\nOHjYkRov+DkZmhjQuFt9mvSoLx6Xn51f6nb8CQyMDPhq2QAGzetd7t9GBf65+GdlSlpgUlhY2P5/\n0vX+o+Hh7cb2Z+uIDYnn/u+PsbLXL3Otv7603DElfjmGxgY06dGAKn4exLx+T7uhLcR9TMxNROdW\nlVJFdmoOh1b9jlqtwa+pt2gzUDKr5OHjRs+JHelp8RUSwGZBGwqrWGCYIFzLwtacSr7uhDwMFVUS\n5IYyrBysRGO+TxfaEhgYGSCTC4vH+R1X2TZFoGNLpBLMLE3ZO08oD87YPYGFXVaTnpCpd3xJQJJI\nJRh7u3PpTijD5/ciIeKjMPcikaCVS5Eo1UhkErqObkdmcjYRQdFc+/UOXg2qYWhsQKOuAlW65ZdN\nuHP8AUV5CkwtTPBr7kP99rWp5l+JiOcxFOUXUa1OFfEBoVinBCGVSXGu4oChsQFOVRxIjEyifvva\nWDtYMeeXSawZthVFYTEv77z5U9WNEqZZvXa1eHH7DQB+zb1p2a8Jvyw8XG7/7uM64FTZARNzYzaP\nF9iUJb2U1w/ekRDxkRe3hRLszzN/Zdnvc0RnXhBsTt49Fqjfz2+9pkHH2rzX0d/bDGzG8G/7c/3X\nP9j1PgZeJSJ/8ZFIwLGyPWPWDKPdEOE79fDsU74bvJmEiI8kyJTEL2qEpFjNsT1XsbAx49YhQZW9\nXvtaDJzbC2tHK1yqOVLJ152fn39PeFA0dq7WnNl6mVb9m/L6/jvO/HgZgM6j2jJtu34J7vyOa+Uo\n5CCQWA5F/4Sti2251yrwz8c/s3z356PdFfgfh2edKlzceYOHZ4Rmd4mbq5W9BRd3XqffjO5UrumO\nRq1BJpeJJnfFRUqW9VlP3NsERiwfiK2zjd55czJyWf/VNl7ceo2JpTEyuRSlApRKFU8uP6dhpzqM\nXj2EVgOa4lLNiW/qzRV7GZZ/xGMdk4/KzhhZehHWjlasubKIma2WEh0cC8DwpQNQFio5XDJXYmYk\nsqlKYG5txvyDUzGzMiPu3Qd+mvaL+Fq7IS14eS+EvKx83gaEc2jFSTEgfY51p9VoKXgXjwQ4/t1p\ntlxZzI7p+3kf+oGMj1lIpRJ8Gntx9ZfbYs8kPTGDb0/M0hs83TZlL0HXBBZe/1k9GLb4S96HJuBe\nw1XMqkp01y78fI17JwNwrGTPhI0jMNM11XcEricpJgXPOlUAcPd2RW4gJzk2VU+I9M/QsEtdXt17\nh0Qq4e2jcL3swsregmFL+mNiYYJUKmVSw/nIDWR0G9eeV/feifsV5BTo9SBf/hHC2mFbiQqORW4o\nZ/a+SdRv78+07WN5fus1o1YOIkCnDG5gJKdq7crYu9oycsUgeqflsHXKXh68EPqUKXFptOj7hXju\nkl7d24BwGmwfyMvsD2gNZfgO8tezIXl8MYhaLXzoNra9uM2psgNOlYU5p5pNBDdYUVTX1IiTH7O4\nMngT25cOICwgnCNrTpMUIxBFyio/NO5Rn2Wn5nxWOb0C/zv4Zwaltd7e3uuAMGBJWFjY36bYVODv\nRtkGrm9jL55dDSY3M58r+24R+/Y92Sk5ZCRlsfbqEvrN6IZapcbG2Yptk4Ws492TiHLnvPbLHZ7q\nzP+UaXnUbeuHu7crd44+4MzWy/Sb3p1vNo0kPDCKmNfvGTivN7vnHMDO1YbUt4lo0/MwMpChAuJD\nE1j/1TYxIAGc2XqZFn2EhUtuIKP1wGZc238HEBai5LhU8rLyObnxAk26NxDo5ZQyh0s8jwDMrMxo\nM6g5D88+o4qfB4X5RSRGJn020AH4+rlTtVYl5v02RbQw12i0vH0UrrdfzaY1qN+hNlqtltT4NOzd\n7fTsw28ffcjo74Yyo/licjPzqdfen8Hz+1CrhVCxfnhOWPRT3qfRpIwhoJmlqRiQ7p0K4Pj350Qf\nJks7CzQaTTmLjhK4ebmQHJdWLpty8LAjPSGDiZtHi/TukvemUqqRyfWXgBJWXlnEhrwXKeTbp//C\nvjeb6TmxMz0nCmZ3Hj5uVPJxw8XTSezjAVjbW7Ls2CwmhM4h+lUcUpmUe78/xsbRigYd6zBgTk9S\nP6RRo2F1Bo7uheT2XayMjZnYpgUyqZRNd1eyrM96bh2+T2Zy1mcz/LIYNL8PEqmE5/kKAuPTyNZo\n2bH0OCnBsWJAAvSkiEKfRFYEpH8x/LOC0jzgLVAMDAEueHt71wkLC/u8iFcF/kfg18ybZ1dfYONk\nxaKjM0hPyGDzhF2EPAzD3tWOdwFC0Hlx8zW1mvsw/FtBAdzc2pynV54zaF6fcuf0b+WLsbkxGrUG\nCRB8J4TgOyHi4GVuVh5H155m/5JjAKy5vIjzOULD+pfFRzj70xVkcpm4uD46r88MdPV0YvSaoThX\ndcSnsRfGZkaEPY3ExMKYcRu+YnabZWg1Wuq3F+zGbxy4i2NlB5QKJemJ+iU6rwZV+XXpMbwaVgOt\nlqiXAqW989dtuXcigMzkbD19uDdXghjiMYHqDarhXNVRXMhsnK3ITMpGYyTDp39jth6cCcB3Qzbz\nx/FH1G1bC7/mPgTrSmc5GblIJAhmVAiMr9+Wn6Bq7UrYOArOrFqNhiY9GopOp59iy4Rd5GbmY2ph\nQpVaHiw+OoPs9DxCHr5j95yD5TTtnCo7EHQ9WFR/7z+7J37NvGnaSxiaLim7ZqZkk/pB6LtIZVL6\nTO2q87tSoFQo9XQPS1BCRAEwMTdm5+zfMLU0YfD8PhgaGyKVSmnWW19V++ovtzmw/ASdR7elUZe6\nRL+Kw9zajPVfbQNg68PVRL6IpUHHOti62PBdn+/pP6snDdsJfavczDws7cwF99fMfF7cfsPyfhtY\n9vtcMpOzSEvIoFrtyiREJuFewwWZTIaphQmjVg6mXWI6Y8ftpCghg1q9GxGlVJGemCGWTMsiOzWn\nQnj1Xwx/tyCrt7f3HaA1nx1z42FYWFirzxxzBbgYFha2/W+cdzww/pPNhoB/hSDrfx1vHobi6ukk\nluFe3X+HIr+I+h1rs2P6ftITM5i6fRx2LjafPT7mdRxX9t2mzeDmIg28WKGkMLeQ/o5jAIE4sfTU\nHE5vuURRvoKIoCg0ugHZrY++w7dxqZJ04PWXLOyy+rPXKiEfDF7QlzFrhhISEMbcdivEPkDbIc2p\n08aPA8tP0rx3I8ZtGE4vS8H6XW4gw8rBEjtXGyKex6DVaJHKJKWK3n8C3yZeQkb4N3YbuqgfR269\nQBmXRrG/Gw+vrkRRVExvyxFib2r6zvEkRSdzcdcNuo5pz4SNI4gPS+D3LZdEP6IGneqw7uqSz14j\nIymTzORsMVP6bugW/jj2kIFzezNu/XBe3H7Nwi7fYWxmxISNI9kz/yBajbYcC7H1wKaMWjkY9xqu\nn72OVqtlXoeVhDwKpd/MnoxdM5SiAgWzWn0rlhlLYONsTXZqzp/OuNVq6ctmnRpETnouuZl5uFUX\nLCpG+07nQ1giJubGnMs+QMijMOJC4tnyzW4kEglDF/fj8GqhRGtkZoQiX0G12pXZFbyR/JwCxtSc\nQXpiJnYuNnr6hHvebGJyw/kUFynx8HElPjSRDl+1Yv5vU/XurbiomIykLL7tvZ5YncRSiZo9gJGp\nEaYWxvSZ2o2hi/p99v1V4L+PMoKsrxGSkbLYHRYWtvvPjv27M6WwsLC2f71XOZQlNP3ZeXcDejde\nohL+37jefyzKyrfcPfGI1YM3Y2AoZ2fwRqb+NPYvj/9+9HYinsfw4PQTjrwXmuKp8Wks6bEWBw87\nXKo68dXyATh62IvMtRL0nd5dLyCBUPqq08aPiOfR5Z7KSxa/gpwCtFot34/6Sa8xnZWSw8Ozz8j4\nmMmFndcZt2E4HUe25uaBu6iUatITM0lPzGTlufncOfpAVKVw83JGrdJQlFdEYb4CRYECpyoOuNdw\nJTk2tVxA0kokSNFiZmVK17EdCHkUBk9iMADMlB9Y3GMtQddf6tnP3z3+iElbR4vGfRqNhogXsTTs\nXFcMSnYuNoQHRfHk4nM6f90WSzsL7p96jEQCP4zbiapYxczd39BtbHsWH5nB9B3jUCqUjK01k/TE\nTNQqNfnZBdw59kAkpoxaNRilQkl4UDQRgVE06/1FOfWOj9HJLOq+Bq1Gw/rr3/L9rWV6rxubGuFW\npvclkQjD0fU71uby7pt6+5b14Yp9Iyz2mclZjK01i9yMPBp1qUthfpHokutWwwWJREKt5j7Uau6D\nvZstexce5vDq35FKJWg0WtS6rC/6VRw/jP2Z4d/2F6WgKvu5C7YbSOgwrCVhTyPFwFIyzP3g9BPG\nrB2mVzo0NDbEuYojSdHJpX9XhCz57vFHDFnYryIY/XPQ6/9XJfwfXr7z9va2QqCD3wVUwGCgJTDt\nH33tCugjUydAqixWfXbO53Pw8HEj4nkMHj6lT95PLj4Xh2wnbh5N3Ta1eHzpOcbmRhQXKhkwuweV\na1ai3bAW5c5namHCxtvLARjiMUFUeC5B2yEtCP7jDb2tRlDVvxIJEUk4VbGnVnMfOo1sS3GRkvjQ\nBBp3q4+JuQnz9k+hql8lTm+9REZSFqYWxuRn59O4e33BGlyrxcLGnG2PBWO/B2eecPvoA/rP7MH5\nHdfEIUwAe3dbUjML0dargVqlZuqGMGpX7cYQj1LBTEO1lme6npqRiSFm1mYUFyoIvvOGyY3mM3b9\ncNy9XLm46zoB5wORSCUsOzOXzI+ZdB7djqEeE8hOy+XNw3c4ethzVdcvK0FCpPC5vr7/jri3HzCz\nMhWFXY1MDfFpVJ1B83rz+v47VMUqIp5HUaWmB4MX9MHBzY4JdeegKFCw8tx8GncXZHUCzgfyQUct\nXzlgE9ufClYbarWan2f8SkZSJga6MqKhiSGnkvcS8yaelf03ivc1aF4fVEoV/q1qsnrQJlTFKqr4\nVSLubTwqpZqcdGGeqqTfWHI+J49S0VWAuu39RWkqU0tTuo5tx8mNF8TXbxy8i4OHHbVb16S4qJj2\nw1rRaWQb8fX0j5niYG3JQ0xRvoI7Rx5gaW/BmwehDP+2v0iC+HrNUI6uPUNxQTH5OQXc+O0uGrWG\nO0cfVASlf1H8M3pKBsBqwBtQA6FA77CwsMi/eVQF/sfR85tOoBW0w8oqMoAgPfP85iuRPVWCr5YO\nIPRpJIX5RVzZd4u4kHisHAV7CAtbc+q0rcnji0F8P3q7qJJw9Zc7HIja/jfr9Cqlim7jO3Jg2XFA\nsImo164W904FiGy9kkUn7UMmtw4/4N6pJ/zybgsHo0qrvnFv4zE0MWTXy41MqDOHtIQM1o8QlByc\nqzmRHJNMpZruPL/1itT36WSn5TB770TMLE0JD4rm1uH7gipBLQ9m7ZnI5D7fg1wGchnxSam0bW7L\n4AV9eXUvhLePwsnLyqeSrztFBUWkxKWhKCzGxFxQnlYqVPw841ckEgnO1QQZJq1Gi72LDVa2Fpz7\n6SrWjlZkp+UiN5AT+ElmCaBSKEmMSmJu+xWoVWoGzu2tsyGPQVFQzMu7b1l/Yyk2TlakxqcTePUl\nD8884/Ca03x7Ypaojxfz5j2X9twkLSGDCT+MFHtnhXlF/HH8IW0GNefSrhuisK23Tg27uKiY3XMP\ncnHXDSQSCbYuNjTt2YCx64aRn53PuhHbRAbjmwfvmNF8Ca3LDKeWoJKvK1HBcTw895SLu67TY0In\nAHIzcsXMNC8rn4u7buh5eKmVag6uKLWrCH0Syektl4h9G49zVUcyk7KwdrQU1R7MrEwxtTBB4mzJ\nxhHbxe9WSTmv79Ru9J3ajVltlvJax0x0dLdn0Pzy/dIK/GvgHx6UwsLC0oAv/nLHCvzDIZPL6DO1\na7ntiVFJbJuyj8Brwdi52nAoZoc4c/T4YhCJkUkkRiYR+jgCrVaQIAJhtkldrGbLN7vEJ2UQBm6L\ni4r/pjnags6rxXKfkakRI5YNYM/8Q+Lrti42+DatQejTSLHQq1aq9Mp5Wq2WWW2WkZOWy4vbr7F2\ntNLLvEpKN9d//YPrv/5Ruj0mhWk7xtFnSleeXH5O4NVgqtaqhHdDT9YfnMKvB2/hWD2V7h1nIJFI\nROuF77/eTtD1l4xZOxRXT2cWdF5NemIGhXlFGJkaYmphQmZyNhJnewxre+Nha0WDpp64ebkwyHU8\nSoWSTiNaM3b9cFYP3ISisBitjjpo62xNZlIWp7dexszaDKlMgloFWo2G0MfhaDRaDIyEGTKZXMay\nU3O4e+IRD8485WN0Mmihil8lJm/9mqyUbKrVrsy+hUcAWNhpFVK5jIZt/Ai8/pLvhmzB3MacK7/c\nFj+TZj0bEvY0ErSI6h9arZaMj5lc2nOT2DfxVPHz4PGFUhsPgMICBYHXgsv9faPK2InsmnuAonwF\neZn5RL2K1T8+twiJRCKIrKbmlCulGpsZERkSD1otCbrsvCSAyQxk7A/dio2TNWPG/yTMlak0VKtb\ntdz9LD4yg8HuE1Ar1eR2q8Q2o3iM4+No4VHeE6oC/7uokBn6D8T+3x9z5vpLRvb9gp5tazG1ySIx\nqORnF6BWqcWg1PLLJtw++gATc2MSo5JI+5BBi76NiQyOoXarmtg4WVOvvT83D96j65h2uHo6U6Oh\nJ9YOVn96fa1Wy7vHpTRr3yZe3P/9sd4+/i19mLBxBLWa++Di6UREYDROVRzw8HZj7fCtPDzzlB7f\ndBJt1CUSCRtuLuXtozC+7b0erUaLmbUpBbmFaD8hO1g7lt5b/DtBs69kxqVB21o0aCsw+1RKocxZ\nYkg495dSFfSc9Fy8G3ny5FI2oEVRUIyiQNfPdXfmfXwmtepUZ/KW0RTmC0FLqVBi5WhJvXa1RFqy\n2tEarYUxOTr6vkQi2IooFSpcPJ3oN7MHF3ZeF9lxj849482DdzhVcaTPtG70nNSJvfOP4N/aFxsn\nK/GhI/pVaVBQFqugWIVEVtrGLS4qpk5rPyKfx1CnjR9vytiMq9WfDOlqBa+kzM/4T8kNZHjVryb0\n5gA9fr4ORXkKUVLpc9BqtYLq92dQt18TAqKz0KrUaAPfIilDeR+xbAB5Wfks6bmOhFdxSFQa5ObG\nDNAZIpaFnastTXs35PGV57zyMcDwZTRbMxS0mPD1n95XBf53UBGU/gNx8vJzsnILOXUtmJ5t/ES9\nshoNPJm87WuMTIzEfZ0qO7Dj2XrePYlgWd8Nog7ak4tB/DD2Zx6cecKPj75j4qZRouTPX0EikTBn\n/2T2LTyMpZ0F83+bytI+6wEhYDi42zJgdi9kMpk4oOpVrxogCJ+WPMnfOxUgnrPnpM5Y2JjTuHsD\nGnauy7MrLwSJpDILpEQqYezaYbx5GMrRtWcYsrAv8w9M5caBu7Qd0oKvfaeTEJFE+2EtMLEw4fbR\nB+Rl5uNZtworz8/H0d1ePNeZHy/zSDdvNGr1YA4uPynOCLnampCcraBNp1ri/iWfcYlNRUmz3jyv\nkKLkLEqW2uZ9vxDZZlKpFHtXW34O2sC5n65y9qcrqFVq5ndahapYhUajxcjUiB2B61j31TZ2TNvP\njJ3j6TauAynv05AbyPRkiar4efDsipDVHFt/lqToZDx8XAkLjBRLr382wwWIFhoAdm62pCdkoCgo\nxrmqI1X9KxH3VlBGN7U0YfCCvuRm5HNy4zm9c5hbm5XrZ1raW6BSqCjILU9Hf3QzBDzdwUAOMhno\nPmMjM0NqNvXmxPfnRfsNAP/GXsxpt5wOX7Um/t0Hrv16B7/mPvSa1JmsvDy0xRrszsVhcyeJHIMQ\n4tt0xsP7z92SK/DPR0VQ+g/EsN6NOHPjJUN6NMDQ2JDN91bxNiBcWIzNP19yu38qgMykLDKTsoh5\n/Z7d8w9SmFdE9Ms4Qh6F8/LOG1yrO4vmeH8FqURCcmwqybGpPDr3jOWn5/Lo3DMOLj9BxPMYjq49\nzfLTgtBnVmo2L2695uDKk8jkMgbN703g1WBiQkp1zDaO3oGdizXdv+nExE0jSY5N4f27BL1rdhrV\nhrh3Hwg4H0jA+UDaDW2Bf0tf/Fv68vDsU1Fn7sahe3rBLCo4lmlNFnHsQykZtGbTGsgNZJhYGHP7\n8H28GlYjVCe906ubH551qgifTUAYyiIlcrkcUJCTnsu3vdaJ56ns58HHqGQxU+0wvDXbpuxFKpUw\nYG4vANxruNJnWlfREqLsvI2iQMHK/tZv1LoAACAASURBVD+IZIi9Cw9z4+BdQZ7pE35rfhm2Y8Tz\naFQKlZ5en62rDQ071RFLnSYWxmjUWhQF5YNUh+EtCQ+MJic9l/rt/bmy9xaGxgY4uNsxcsUg0Wq8\nYefazO+4CoA6bfz49tRsZrX8lviwRFw9nanbrhb+LX25sveWWM6VG8oE80IJkJQOxoagKAZFsWjh\nocgv5qep+8T3DdBmYFPiwz8SFRxL2LNIMbg+OveMhxeeoe1vhxSwDkxBogVNsZqMj1kVQelfDBVB\n6T8Qw3o1Yliv0mHHarUrU612+dp6bk4hpqZGyORSuoxpz+sHobhVd6ZGg2o07FiHy3tvYWFrzrOr\nL0QB16u/3KZ265rYOttQydeNeu38P3sPvk1r4OBuh1KhpE5bPxw97HGp5kSeTgDW0EQQ8FSrBQ+l\nEotwgIFzetNpZFvG1JwhbkuNTyM1Po3Qp5GiSGcJTC1MKMgt5MnFIL7+big3D96jWu3K2OgEZEEY\nCnat7kxqfBrmlezIjCilEkN5O4hGXepx/OMelvZeT8jDMMpq3hoaGTC/40ohS9GVs6btGIephQn7\nlxylMLfUrM/I1IjhS7/k5xm/IZFAVkq2OAT8+w8XqN/OH5dqTqTGp5c6B6MvKJuWmMHkH7/mt2XH\nyc3IK9UL/KSMFv40Es86lYl6GYdKocLY1IjKtdwJ04nVZiRm8iE0Ue+YzwUkqUzC0ysv2HBjKdYO\nVlzec1MU7h22pD9WDpZkJGVi62xDvXb+dB3Tnpd3Qxi25EsCrwSLDwsJER9JiPjIpV03kBvK8WpQ\nlYigGFTFauq19+fNw1CURUqILn24kEglVPZz50P4R5J0JUMDYzldRren0+g2zGr5LQBFBQpqNPQs\nzaI0wEAH8jqaIQ8qwHhnGj0ndirnG1WB/31UBKX/YBTmCU/On8uOLp9/wZYNl6hew5kfd4+mko8b\n2wLWiK/P3P0Ngxf2xd7Nlu8GbxG3v3kQKi6KEomE7c/W4VW/WrnzO3rYczjuZ3E/gOMbzooL7bOr\nwbz8I4TKNd1ER1gDIzmVfN1o3KM+ZlamWNiak5uRh6GJod6CXRKQZHIpapUGn8ZePL/5iuxUwZ77\nbNZvGJkY6qlBW9pasPrCAqwcLLl0NYjdM35D7mDB1kMzCb0XQqMu9cR9VUoV13/9A9fqznQd0573\nbz/g37omz668wMTChNptaiJxsiCvmh2GcRkYxmVyec9N1t/4lp+m7dP7HCr7uHHv5GO0Wi1aLSTF\npdJ3WjfO/HiZ+LBEJjWcz9xfJ9OsVyPGbfiKY2vPkJuZR69Jnbmw8zpqpRpVsZq2g5uzvYwGoIGx\nAVqNFlWxSvwcCvKK8PnCU7RmLypQ6BESAKJfx2HjZE1mcpYo0vopNGotMa/ec+foQ/pO60bbIc15\n/eAdwbffsGPGfnLSc7F1seFg1E8YGhuSmZIlZsX12vvj4G4nqkqIn2mxioigGMysTdFqtDhVdiDl\nfaqesSRAYmTpw4JaqaZGg2pEv37PhZ+vEXjtBUqFiuxW7uQ0d8MgT0oNtIQHRiMBvk5pRNUvvTH3\nA81AVUVA+hdFhUb7fyhiQ+Lp7ziGPjajuLr/drnXg5/HotVCRFgSublFnzkDuFR1wsDQgC90Rncl\ndtgl0KJl3YhtetbmZSGRSPRsNcqKpeZl5nPvVABrhv2IsliF1FiOUqEi7UMGlrYWHFxxUhwgLQlI\nTXo2oKFOtRtArdJQrW4VlhyfyeAFfVl0ZDrOVRwxMTMuZ09wdf8dvvadwZiaM3mx/y7ytDyk4cl4\n+bnTb3oPvRLP8fXn2DxhF3PbryD49hvqd6jN4wtBKBUqctJySY3PwGVSOxS+TuR18kErEYgUd08E\nlNOukxvJGbKwL+Y2ZrhVd6b/zB64eTljaiU8KORl5YtZ6MA5vTj+cTdH3u9kxPKBoCNL1Gnjh7mN\nGTWbltL8lUVK+k7thrWDJd3HdcTawZLEyCRuH3mod/1PBWqL8hVkp+eIr5lamtB9fHsxcy0LBw/B\nwsTE3ISOI9qQlpAhliGzU3PYNH4Xbx+H8/hCEGqVmnu/P8apsgPLT8/F2Ky0b6kt873x8HbDsZI9\nV3+5LbDxdLBxtsbNq4ztve6QhMgkUejW1dMZiURCfj0nMJARJy2m3dTO7Hq5kTVXFjP0m140dfDG\nv4l3RUD6F0ZFUPoPRXhgFMVFSjRqDT9O2ituD3kUxqRG8zFISadlW18mz+iMjY3APkuI/Mj13/4g\nNuQ9Ty4/R6lUsXb4Vo6vP8OMnROYsXM8Cw5NE3x3BPE33r/9ICoa/BX6z+qJlb0Fbl7O1Gxag54T\nO5OfXUBeXSvSWwizU9WbefHs6gtRokZuIEMqkwryO9+PKDd/FfcmHhNzY8asGUqbQeXnacT9dP2p\nrJRsrHTMQd8mXp8V6yzIKRB/vnnoHndPBqBRa5DKpHzRrR51Wtekro8HANUcbajdwpevlg1Ao1bj\nXNUR9xoujFg+AANjA85svczTyy84k/4r256sZe2wrfw09RcKsguRyaVY2JrTsn8Tnl0LplhRjKpY\nhYO7HRY25qw4M4/BC/oy55dJyGQyhi35EgMjOWZWpvSd1o1xG4ZzMnkfhflF4gIvM9CfHZNIJZiU\nUPd1C71GpUFuKNO910LunnyMuox5n4GxAUMXf0nzPqWTHpV83fBt4oWHjyudRrVBrVJz69A9ZurK\nadZOVgxb/CUAc9ot1yNT1J7RSfy5uLBY9DwyKhMIWw9oxsbbyxk4tzfDl/YXNQPzswtwre6CmZUp\nbx6E0qBjHZraOmLwMQ/L+x+oUbMS1fwr06hz6cNKBf61UVG++w9Fm0HN2DR+J2qlGssyfkunt14i\nIiiaiKBoajSoRtNxgnShRqNhRotvyUrJxsBIyFp6TOgoMuFuHr7Lm/tC2c6jQXX4wh/Uaqw/JtHm\nM8OVn0Or/k317CAAlp6czcpLF7lknkJmd2dWDxyGVaISqUyKVqNh8bGZ1GjoiYGRATaOVvQY35F7\nJwKID0tEKpdg52LL3gWHaT2wGZEvYsjLyifsaQRj1g7Ty36GLu5H6oc07p4I4I9jD2ncvQH1O9Si\np8VwOgxvxfSfS2UYg26+En+uWrsSLfo25uCKk0LpUSvMg03t04LezWrhbGOOoYGcxT3W8PTyC9y8\nXJi1ZyI/z9wv9EuAwvwiMpIyObz6d4JulJ5brdLgXsNFzAqtHS3JTs1l1t6JdBndlkq+7qhVGixt\nzXn5RwgbRv6EUqFCqVDRfXwHMQv1b+nLjQOCKL+hsQFLLsxnw/BtZKflotVoKdSx3tyqO4vlMlVx\nKWvv0+xOWaTk4s5rDJjdE3NrM949jWBmiyWoVRqq1PLg7olHWNpZkJOeW9qL00LA+Wec236FwvzS\nzFsilTBrfFdmHn5MVnI2prqsx8DIgE13VxLxPJqgG6+o06Ym9m52jFsvyDhFvogRZ6ayUrLFnlbg\n9WBsX8Vy4OI8bKzMqeLp8l/45lXgXwkVmdJ/KAyNDTkUs4OJm0exL2STuL390JaYmAullfCgaFE/\nDhDLRWqVsNBogXZDW+BczVFUYQDIScqEqPcgl7Hw9Hxqt6pZ7vqRwTF80Nky/C3YOFvTIMOMTsVO\nLO3cjcYulchJz8PY1AitFn4Y+zOPLwRho5s9snGyZsCcXqhVapRFKpJiUvh980Vmt1nKj5P28Mui\nIzw8+4xDq07pXcfCxlxPkPTJpSB2zztEUb5Cb8gUoGZTb/HnGTsnMGLZQNoPa4mRqRHPrgaL9PZK\njtYY6ua9RL22yI/Mar0UtW6xtrK3oHH3Bgzx+Ea06ABwcLfF3s2Wd48jxDJlVkoOWq2WoOvBFOYV\nMvmLBSzru4F9Cw9z8ofzonV6r8ldqORbKljcdUx7pDpDxMLcIhZ3WYOlvaXee2o7pAU1m3nrbfuU\nvTdgTk/RWDEnPY/IFzE8OveM6U0Xid+J2JB4FAXFmFoYM3hBX2o2rYGZlSlZKdkc33COO0cfigQM\niVTCiOUD2DZlH1nJ2bQf1krsG5paGBMZHMue+Ye4uu82K77cyP4lR8V7KZmDk8mlwvBwGWQkZZEV\nnlIRkP5NURGU/oNh72pLv+ndMbM0E7c1692Iw3E78fmiOq6eTqIlgVQqZfOD1czeN4k1VxYxcdMo\nxm/4ioWHptPpqzaiE6lUJiU7IR3SsmhRx426DaoAgjfTy7sC5TfgQiAT689jvP8sUQftz3Bp1w2O\nLj1JzPhL1E0S5Hz2zD8ozrTkZeazffoveh45zfs0olnvRqLyBIBE10OydbZGKpXQoGOdctdKji31\n3JHrbMwBajXzZmqThXzp8DVvA8KYtn0sW+6vYs+bTWK5cMHBafg1q4FWqxX6S8VKvSHURYenCxRv\n3W3m6rKP7LRcnl58jkatQVFYLFqApH7IoJOOXu/btAZj1g5j5IpBNOvdiOFLB6BRa8Re2u9bLvH6\n3juMTAxpM6gZU7eNEbOkq/vvMNh9PBqVPnswJT5N7/c7Rx9w76QwwCz2+T5h77Uf1oqpP43FyNQI\nV08nfJt6ERUci/jR6w5zqGRPUmwqx9adoUHHOux+9QPm1mZIpBIxEwJBgunRuUCe33wNQMCFZ7y4\n9Yb37xLITstl+9R9ZJfpKx1Zc5oLO68DpaU9rUZLp5Ft8PBxFT87EKS0KvDviYqgVIFyKBEw/S3i\nJ9HaHMDdy4Uuo9vSoEMd+s3oLsoIVfZzRyKR6OZahMVPZiBj4qJeSCTwNiCM6c0WM6ftcm4feSC6\nyiqLVSTFJHNq0wVmtV3GuhE/UvyJXbWrpxMSiQRjUyPs3GwpVihFF1YLWyGYtujXWI8wYWZlxooz\n89hwYym2ztbYOluz8tw8lp+ey6G4nzmT+ZueyGcJGur6DhKJBJVSjZ2rDe2HtWTAvN6EPo0kJz2X\nh2efoSxWsmvuAb6pN5fLe0r7ZSOWD8KzbhWGLurHii830sVwMCd0w6M2TtY06FBb3LdEaRvg0cVn\n2LvZMnLFQJyrCIFUKpMyeEEfzmUfYPO9ldg4WXF222Uyk7Nw9LDDzMqM7y4tBAS6ekFuIdXrV2Xx\n0Zl67+nE9+f0fKYsbM2QyqQo8hVIpRLMbUofSEoGfMsqXpTAysGS70dvZ8s3u1EUKEiMSibjYxb9\nZnSjip+H7k0J/5VlKh7bcJY399/xa/iPuFZ3piCnEIlEIiqZ12xSg4mbR9Gwcx2xdFvympW9Beuu\nfYuZlal4vqAbwvDviBUDGbygL4uPzWTu/sn88nYrA+f0Fvf7VCm9Av8+qOgpVeDvRssvm9B1THvS\nEtOJCIomMzmbum38GFl9CpVquvP1d0PFTGbrxN1iltNjYieu/nKbh2Xst9sObkHjbvW5feQ+Ty4/\nZ+iifux7uxljM2Mc3O1Iik0RXVCdKjti56ISHVU/hUs1J44lCAOvZYOWgUH5r/3LP0J4fvMV1k6W\nOLjbExEUjaKwmK5j21OruQ+dR7UlIeojNZvVIDE6WcwMd87+jW7jOgIQ9iySqOBYEiI+io38kxsv\n0KRHQ+xcrPGsWwXnqo5kpeYwbv0wXt19R3JcCoHXXpILfNGtPr2ndOXMj1do1rshJmZCZvhNg7lE\nvYgFhMxqjN9Mpmwbw/oR28T7lxvIaPVlEyY2mIe5tSnLT8/FzMqMnt90Ys/8Q6hVavxb+urZi0hl\nMgYv6MOhlacwtTQlQ6ck0XNyZw4uO05Zq7Xhy/qzfUop5VxuKOdtQDgB5wNFBQojUyO6j+uAT+Pq\nXN4tBGtlkZLrB+7SbmhLWvZtzLH1ZwX6u0766eXdECb/+DW9JnUm6mUcMgMZl3ffxMTcmCUnZ1PZ\nx53x33/F5vG7AGjSoyFhzyLJSMoSNQlL0Hd6N1I+pGHnYvPZknEF/j1QEZQq8Hcj4nk0l/cKvjud\nR7UhP7sQpVKFSqkm+mUcrp5OLD01h8BrwVzeU+rPc2nnDWq1EizCJVIJbtWd8W7kSbFCyfqRP6FR\na8jLyue7i4vEY5yrODJ69RBCn0bw+EIgWi0cXn2KZr30nU9LUDYYfQ6HVp/izJZLFBUqUCpUZCXn\n0HtyVwyNDAh5FMa89iuQGxrQbVx7nKs4srzv95hamopkD2Nd4MjNzCMxSiAJFBcWi68bGhswpuYM\nbJytMDAyoChfQVF+EZvH7WJ74HrUKjXZadup5OOGZ50qyOQyunzdluhXcVSvWxVlsVIMSCVIjU/n\n+q9/6PlRdRzRBrVKI2r4PTz7lA5ftabnxE7smLEfAKVCKc4sSaQSVEoVvyw6ikatQVWsokGnOkQ8\nj+bkhnPYutiSniiI21ramfPztP16EkFSmZR1w38EEDMZRYGCZn0a4d/Sl5sH75EUm4LcQM6A2T0B\nGLN2GHZuNmyftl+879g38fy69DjxYQncP1Wqf1iYV0TI/VAq+7iL/SOpTIq5tRnTmi1Go9YwY+d4\nuo/vKB5jaWehp09YgX9PVASlCvzdcPNywbW6Mylxqdw6fF/UW3Op5oSblwse3m54eLtxestFveO0\nWi2+X1Sn6+h2+LfyFUtXAN6NPHn3OAK/Zj58ihIfnB8n7+XynhuEB0bTzWQoMpkUz3pVKMwrYuKm\nUdRtW4sja07zMTqZseuGYaVr7udm5vH75ot4NajGgU8yAoAj3/0uDo5qtYJ46dV9t3GsLGjflVDC\n2wxqzujVg8lKzWac/2yyUrLpOKI1bYe0YNecA8SFxJOaIAyJZibpi5kWFShIiknhi6712PFsvbg9\nJyOXEZ6TUas0NO5en9UXFuJZtwpRwbGYWBjj39KXnLRcOo1qQ0ZSJs5VHGk/rCUNOtUh5X0aNw7e\nJTcjj+9H79DJN81j9OohPDz7lJErB5P2IZ3jG84iN5ITHRwnllu1Whg0rzfzOghOsrbOVqIaRU66\nQLTIy8rH0s6conyFXg/PzcuF8KAo0MLaYVvxb+kr+iqtu7ZEr3/X8sumekEJ4Mrem58tGd459oBu\n4zrg2qI6nY6NpX3VKoTffive84s7b/SCUgX+b6AiKFXg70ZxkZL8rHw98U8QHE8/Rifz6t5bareq\nSdshzUW1B7mhHHs3W7JSc/lp6l7Mbcz59sQsfL4QnGo33V1JVmqOnrfTp5i2fSy3Dt+nIKcApUKJ\nEgh5KKhdn9p0ARNzY5GxZeNkRVX/yrx9FEZ+TiE3DvyBRCIQILSfSAjpKxlosXK0JCctV09Lz8bJ\nivDAKFYN3MSEH0aQpVPQNrEwJuj6S1TFQm/sU4VyAFNLE4Yt/pJGXfRnZ55cCuLQ6lMik+39O0HX\nzbGSPVHBsZhbm/HdxUVotVoGOo8VZo8kEk5sPE/AhSAiX0Tz5cwenNt+lbSEDF7dfQsIQbysoV2n\nkW3YPGEn0To1h4ad6zBsSX/8mnnTZ2pX/jj2kIRIfUYbCA6+ZRUWpHIpPSd05Nz2a+K29MRMksoQ\nRgo+Gby2c7FhxLKBXPv1Dsk6ZfSuYzvQekBTJjaYpyfn9OruOz5EfGTMlct8yMrhYmAIhhtLRXjv\nHn+ErU6lvmnPhuXutwL/nqgIShX4b0GtFsQsHdztyPiYKdKRSzTZZDr2mom50AvSarXUau6Ljc43\nyNjMiKSYFJJihAWsILeIXXMPsPmuIN4pN5CXC0hqlZrjG86JYqUymYzpP48Tm+9lF7QOw1vhXNUR\nezdbMpOzqeTrxtphW9BqoUZDT0Bo6M/7bQp3jj5ErVZz69B9APya+xAVHKPLCCC7jK2CsZkRaqWa\n1gObcXbbFQDelrF9uPDzdT0Sw6eQSCUMW9IfG0crvv96B+mJGfSa1JlH5wO5XoYSbmxmxFfLBgIw\n79cp3P/9MXV1lhoSiQQDHdPs/bsP5GcV8Pr+O7QaLemJx/j2xCx+33KJ9kM/32sr+XyF/8t48yCU\nxMgkJFIJj849Q25YflmQSiV8jEnR29a8zxfUbu0nBqW67WqhLFaRGJmMubUpXb5uR8t+jfWO0Wg0\nZKZkY+9uS+Pu9fFr5k27oS1JjkvFysFSlJQq2Xe8/ywkqwUWYnZCJqKPrURghJ758TJnfrzM8tNz\n9YZ5K/Dvi4qgVIH/FlYN+IGHZ5/Re3IXpmwbw7Qd4wQzwOhkHp19ilqppsvXbVEUKFjcYw256Xl6\nsjH2brbiUGZJn6NR53p/djkA7hx7KGY+B1edYvLWr+k2tj0fwhI5uLLUrdTU0oTG3QW79P1hP6Io\nUKBSqpHKZKhVahzc7Zi2fSz2HnaEPo4QymSDNwMCS27R0enMbLmUovzUcvfQZUx7ivKK6DGhI5Ev\nYjA0MaRWC1/xPXwuIDXr3Yh5v00m9s0HPHxcOb3lEnvmHRRff15mYLYERfkKDq06RcD5Z4xePYSu\nY9rrvb714Xe8DQgn+lUsR9ecwbNuFeJCPtBheCtqNvXWm6X6HEavHkzGxywenHmCSqlm/5KjZCZn\ni/YbY9YM5eKuG2I2o9FqkUtkaBACv1QmYfbeb8hKyaHNoGbUbVcLqVTKpnE7xWtUrVWp3HVjdDp1\nINiRtNMFzhsH7uoFpBIoi1V4XYmnMDkVk+gs5EZyvvlhJPXa+TO9+SLyMoVSaujTyIqg9H8EFUGp\nAn+JMz9eJi8zn0EL+ojyLiVluBBdltDzG0EqJvD6Sx6dfQrAgzNPy6kBlKBxtwaoFCo0Wi0//LGC\n5zdeYmRq/Nl9w55FcvanK1SvV01c/IsLi7l58C7dxrancY8GnN9xFY1WS256HgU5hTy+GMTuuQcx\nsTDhy5k9CLz2Qlxw48MS8G5UneMbzrF3wSEkEonYI2nWuxG3Dz8gJa58QDK1NOHsj5cBga684uw8\nNo39mQPLT4glN2sPezyqOvD63jsAPOtVZfTqIQRefUmLfo159zhcHPYse93PocTxV2YgZ/GRGXqv\nObjb0XpAU1oPaMqI5QP/pvX8p3hyKYgfJ+/VU14vyi8SPx+Xak407d2QfYuOiK971qnCjJ3jWT14\nM8mxqWjUWiKCYti36AihTyJ48yAUv0+Gb8/vuEbjHg3EXh6Aew0XfJt4ER4YzYVd16lSy4Pu4zvS\ntFdDzm67LGbcJeg8ui2GRgZE3hG+b2qpBKdK9lTycaPPlG7iEHTQjZfl2HgV+PdERVCqwN/E85uv\nRPZW4PVgGnaqy/Cl/Zn76xRuHb5Hnyn69up12/qx/dk6Xt9/x85ZvwGCurdLNSd8Gnvh18wHB3db\nGnauy9h1wwBhkfx+9A5hX8N54sBuCbZO2kNEUDRPL7/gt4ifOP/zNQKvBVO7dU0yk7PwbuhJh+Gt\neHn3LZV93ank48blvbdEa/QtE3bh6ukknu/9uwReP3xH6FOB1l0SGMysTbl95D6FeUUYmxuJxncl\nKMgpxMzKlPzsAgKvBfPs2kuiS8RmjQ3RGhhg2aQm05f1YWytWQA4uNkwtclCivIVdB7Vhuu/3UWr\n1dLjG4EOX6LiXcLMM7c2Y/Yvk/Bv4c2ibmuJCIr+U/uPEvz/BKRihZJlfb8XA5BEKkGr0ZKXJWQc\nUpkEM2tTfp75G37NvMWHDs86VfD5woulJ2ezpMdaHNztqFq7Mg7utoQ+EYgbd08GYGhsQCVfNyJf\nxBIWGEXAhSA6ftWKK/tu4+BhR/0O/rQb0oJ3TyJAC38cf0j38R3xrFOFI/G7+H70diKfR5OTlotv\n0xrM3DUBJJCdnsu9kwFoNVpuHrpHkx4NGbliEM9vveLto3AcdeKwFfj3R0VQqsDfhGMle4xNjVAU\nFvM2IJy3AeHUaetH4271aaxTBy9ByvtUpjReiKKgmCUnZmHnakNmcjZyuYz37xKwcrD8LGW3rAK1\nkWnpz2mJGdg4WuHb2IuIoGh8m3jhVNmBceuGkxybwuHVv3PvZADrri3h9y2XAHCq4kBCRBKZyfql\noMzkbHpP6cL57ddw93ZheZ/vyUnP1fMlys8qEIVI2w9tSeD1l6LNt9xQTqsvm2DvYceJDeeIehmH\nYyVhIZRIJVi3qk26QkPs82iyUnMYtvhLYt68p8+0rgReewmASqkWA6DPF9UJvB5MUnQKapUGtUoI\ngHlZ+fg29iI3swCpTEKzvl/QcUSrv/k3UilVXNl3G+cqDnqDq2WR/D6VGc2XIJFKcfCwE3t5MrkM\nVbEKQxMDiguVaNRaInVyS2XLYQ07Cwy6Gg08WXJ8Fgu7rGZCndlsefgdvSd35dqvd7hx4C4OHvas\nPLeAmS2/RavR4t3Ik60T93Bl3y0kEgmt+jfh7kmBrGBgJKffjFLrckMjg3IZYQmmbh9L6JMIlAol\no1YNFrevu7qE8EDhu1GB/xuoCEoV+Jtwr+HKzy82sHvuQZ5ceq5T8f68pljE8xjRyfRDWCJV/SuR\nnviSQt0g6et770iI/Ihbdf3j67XzZ/O9lWi1gnjosfVnObf9CmkfMqjX3p/1179lwJxeOLiXPg2X\nzOjk5xRyLSgKlaMl8rRcMYiAMMxZXFSMVqOl3dCWDJjdi8LcIqKCY0WLhU/N+1TFamq18KFa7cpc\n2n2zzHYV+TkFDB3RjycXg7BztWHM2mFc2/8HPl94kpKQwf41Z5EUFDKn7XKmbBvDqFWDmdVmKSql\nGpdqTkzaOhq5gRwrews6jmhN7Jv33D0ZgFQmxcpesJboOakzdi42urJYJBBJ2NNIarXw/dO/0alN\nF9m38DASiYQ9bzZRWad7l52Ww7e91qFUqHD1dBIzx65j2tFmUHNCHoVxYPkJAEauGMTZH6+QkZSJ\njZM1lvYWjF03jNiQeBIiPvLzzF9pM6g5EomENw9CKS5Skp6YyceoJOq186dWCx+q1KrEvZMBHFt3\nRuxFzeuwgiwdUUQml3L/dOksklKhYs2wLYxcPoj+s3r+6fsDsLa35HDsz+W2m5ibVNhQ/B9DRVCq\nwF/iztGHBJwPBGDeb1Owc7H57H5fdKtHz4mdKcwrpNPI1oQHRZfb50N4+aAEiItuQW4h+xYeFreX\nKBCUnWECmLt/MrcO36duO3/mKZ6ylAAAIABJREFU9VmPLCUHZTUHDKKFxdDU0oRDMTswNjNCKpUi\nk8tYPXgTd08E8CnMLE1w9XKhMLeID+GJvHkQimfdKhgYypEbyrFxsiIxKpnX999hYWvO3jebxWMl\nEglTmyxCo9Ywdu1Q9i0Q7v23ZccJexYpNu8/Riezfdp+bh+5j0QioUYjT05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tfVUaV6DT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2oJSlUuDqjlPzoOfYs1MzZiZq6jbruatB3QgsTYJC4fuU6Xke1YM30jmxfsYvD8fkze9Bnp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\nAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = scdata.plot_gene_expression(color=['ZEB1'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

tSNE map colored by ZEB1 expression (after MAGIC):

" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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aw6Zf9+J0ns+h9NvcDcRHJLN41h/8NHMVvkHeuHm5odPp2LHmIG3vbEbtxtX4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55ZPh2H3cWPKw+SfC4LxeEkMymf/OyKJlIBgkD7Xm3ITC1GkOW/NONjszqwNdo5uvMSDW4XXt9A\nNSvX6bWg0zDktm7s3nSBoGBfZroz/3H/kL1Mf2IUX3y4m77DOhIS4Y/D7mL+7K9xOlwUX6+kQ49W\nnDud1ZSFKhqNmlG6VGuL7gPb8fKSe9HqtHy36jDJF/NAgayUIha9toWcrDIO7LpE3OAOeP8Ll9xm\n/HU0q4T/jRAc7oeXr4l3VkznhYWTGT2hF9czy7C4F1RvjcB7s7/iidsW37z7/hP8vPcy98/+km4d\nwxnZpx0j+rX/w/ft3RKPxi5hr2rg6qFULBmlmCssLJy3EZ2fEYeXFptewOFnQLQ58fM3YWrlRfmg\nAEqGBZKhc7LgqwN8t+EogtWBotcSGOZLYnwO0e1C0XvpEUw6PHRaQlsFEBbpz7hJfThxLI3igmpk\nh0SUTYd/g4jgbmGIosC17HJcehHBJYOkoClqJLDUhaHWhb/BQFSrIBRFQVYUQvw88fUzIWtEFI2o\nBiaXjKdJz8R7+tJgsdJgsf5b12TZiz9wV8zLrFu693evJRy5yvQer/LK3R/TY3AHAiP8CYrwZ/Jj\no9TZGFnG1WBFcbro1Ls189fNpeewGOLGdMViVjXiHHYn3Qe1xyfQu4ldZnPf6etNBmwN/3idVVUM\nQVSPb9WbW3hn5pdsXHZz/xotNhZM/6yJXXdDOfy9TU8TN7orglaDoNGQcjaT03suk5qQQ9LZLDUG\niSJlRTX/sEmFzCv5eJp0PPfhlCbJon8GS00DM/q8ybQerxMc5k2bmHCGjutOh56tCW8byvQXxvFz\nykJcTglbg52ygmqVSv8PqKmq59L5bEZN6s3MZ8YAoNWJhLh9vMJbBbJ7/RlwuGgRFYDWU99EiOg7\nohMbTr7OWytn4B/kTdK5bJKOpdMuOhjBqf7AvN2WGVFtgvFoVg3/n6E5KP0N4e1rYtT4ngy/vRvB\nYT5ERPiyasMjDBmqlpLqaxtx/As/o1/j8PE0nC6JlLO5nDiazpzZX3NP/wUc3nmRqrJaKorVBWjo\niFgAtFo1AAiCCE6ZyvwqHDZ7E/FC9tRjDTZSZbfx8MyhBPp7Eu7lAygILhldnYSg0YAClSYNje38\nudxoYfjUPjg1AlaHi5cWTGLtjqfpO7Advv6eKCIoAtw3bSAfL7qPyM7h9BoTS1TvFqARQBRw6QWC\nQn0YP7kvXXq1RBBg6n39Mei1CJKC1imTcSiDvfuTVGaVe5ZL45SxWmysXrKXB4YsZPrg95sERP8M\nNquDw1sugEvi2M7E372ecTkPySVjrrQgy/Dh5qepr65n86f7weG8mWkArWMiuXQsjVe/eoTXvnqE\nrgPa4Rfoxdz5k1i06SlWHX6NGa/d1fT+lrGRDJvYxz3QJSLotSqt203wABBuSHUAWSmFTZ8tL6yi\nurQWgO5DYxhxj8pE8/I1seCHp3hs4VQEyYVWK+Dp7cHlk9cICPFGFAVuu38gdgnQavDwNanf7w6W\nDXVWNq8+yvw531JWWP1Pf4On9ydjMav2GxePp/P5nud54Nlb2bzmKCVFZr5dtp+D2xOJjo3Ax99E\nq3YhJJ5I5/juKxz++SJVZaqb8oszv2LrutN88/EBtm88C6iZ7GPvTMI32IfTB67SaLEiSDJt2oaw\n/cLbBAZ5gSSTcPwas29byvShC8nLLGPL18cpuF5FdmY5aEQUnQa/AC/W7prHinVz0OqardL/V2gu\n3/1N8fHrWzh+IAWrQxUGPbzzMvc9cyshkQF06BaFX5D3n38J8OB9A3E4T1JwpQirJCPLMnUWGzs3\nnOHTl35ElmUW//gkD8wZwZCRnRFQmP/oWkoLqtFqREBDbZEZKcQLjUNGV9FAcIAn0d3b8Ok7exjQ\nry1jJnbhvfe3o79WDhqdSvuWFbz8TdQ7HSgCXL9ahLeXkRYR/kS3UanasixjrbVy/4zBhEUFcOvY\nbgiCwLo1DwPw3GubUMQKlXVl1FFe28i3W88hyPDy63dy7VIemZllaEQBRVIQHBKiXWryFwLQeehw\nWp0U5ZRjbVAJDAe2JzI3NuJ35+ofkZ9RinxDPSHm9+8fP2sYVaVmgsL96RzXlgsHkrG5t4GgUrIV\ngx4Po5aLR6+yd91Jug3qQF1NA9evlaDVaRhyh0qiCAzzZdrz4/h+8S5cVjv5aUXkpxWhMxlw2l0o\nTrdSBjSRJhQBlRknCEguF6kJuXTq04bWsZHMfGsS19OK8PAyMj70Me56dCSPLVLJCcXZZcguCdkl\n8dV7O8jPKkeQJBRF4YRbBw9QCR83xGcF0Oq15GeVkZ9ZyoWDyfj4m+jQozVTHhtJl19JPcX2bo2o\n1yG7JIZN6APAljVH4VdBdPW7O3HYXbicEnWVFr5dWtb0WkikH2uPvKL2s5wukBQuHLpK9z6tOXM4\njbLrFdRWN1BbrVYQAkJ8eHLBRAqyy6kqqgaNRu0xuTPO1Et5jLizJ9dzKrC6VNJG25gwps4aQtif\nZH3N+PfRHJT+hmiw2Ni/JQFFI6oKDsC2r45zfOdFVu9+Fm9fdebj28V7OLv3EqMnx3HPE3/cxO/V\nvRWrlrbi6uV8Xn92I9ZaK4gCXXu3JtMtS1OYU05s79ZUlZhxOlwsXj+Hg9sSiRsew4q3tpJxpQBt\nvQNRFhCdMhMeHMKF6+UAnI/PoXtsJEGSQJ2kgOwkpFUYPUd1xkuv4fut5xGcElfLrGhNBrqP6cq2\nnxOZPnUAu7clsnLRbgQBVv3wGIoCSz/YRfrVIuY+M5oebcO4dC4bvVPGrhUQEdDYFRzeGn7ZdJ6s\nq+6MRycSFuFHbaOdenMjGvc5k0Ww2V1obU5qGx1ojTokl8y501nM/QvXoW2XFtx6b3+Kcip46JXf\nD9p6+3ny1GK195SfUUKnftF0H9KRKyevYfTQYXdKKLKMta4Rya0+kH+tmJoKiyroqoDDpi6cdquD\n9e9tIyTMh6Kc8iaFiQFju3NiT5LaI3Erl6PVgF6lj+P2XrqwP4n4gyk8u+x+PEx6psxT1bwf7P4y\nAEd+OtcUlDr3a8fOL4+gNxkQRDWAh7YKQqMRKMqvaZolA5oyZJ3JgMnbSF11IzoNOGxOaqsbiD+S\nirmqnk93zmv6SKv2Yaw5/AoNFhsdu6ukiKi2IU1Ej7ZdW5CdVvK7bdxAbXUDR3ZfZuGah5hz2xKc\nkkRKQi5vP7Gemsp6ojuEYvI20uhm6tVW12Mw6gkO81MFgN39JEUUCQ735Yvl+3HYXUREhzB6XDci\nogIYPOr3tiXN+N+gWWbobwi9QYultpEGcyN9h3bEoNNQVVqLtdFBVlI+u749iaefidVvbaGuvJZL\nJ9IZemdvfP+FfYO1tpHwUB+yr5Vhk2QqquqZcN8Aegxoxx0zBpMcn8trM7/m+O4rtOsSyehJvQmN\n9CfhTBb5uRWIEjz64ljG3defnoM70Dk2kqrqekb1b8+Gd7ard6U6tYFtAdLzKxkwohO9YiJILzFj\nNWlwaQVSMkpITM7HpNNi1Gg4dzIDxSCScbWEtORC9u+5Qm2tlcP7U5CdEtXXq8El0bJlIDUuJ4ZW\nnsycMIDclGJqaxrx8NChyAp1dTbs7qxGUMBpEnF5ajFW2VVhWUGgS99oysstjLyjB30H/3Fv7dcQ\nRYH+Y7oyZmq/Jur8H2HLZwdYMGM1J3++yLLdLzFichwzXrmTqqJqclPyMXoYmhhhHXu2oiyvUpVi\ncroweXvQfUgMv3xxiLXvbMVSVe+2+RBo170VVRUWaivd/Ra3enmXAe0pL61T13L3LJiAakN/bvcl\nTmyPx9vfk5g+0Vw+mU5RVhkOh8TIqf3x9vOkVccIDv50gbpKC7VldUS1DWHWmxPY/+M5QJ1jCon0\nV+nZ7uCo0elodFPlJYcqo6RmbCKjJ/elx6Dfnk8ff0+CfkXG6dS7DS3bhTBwdBcmzBzK3h/Pqz2v\nG264gkBgqA8de0RRWFDD6QNXuXY5H4u5EZfDhSiK+AV7YalpxG518uH6R+kzLAYPTz1T595CdEwE\nBqOO4eN7cmBHIi5JzSYbrU5cTgkF1bm5VftQ7p7+W7uLZvwezTJDzfgdHnvjzqa/62oa2PjZYXLT\ni7l0VKUCf/LGVpQALygz4xvgSUCoGuRzC6o4fiGT0YNjiAz1A+DCkVTenv0NaDWEdQhDqbVSUVZH\nRLsQRozrgUYj3lh7UESBZe/vwrB0H++umE5xSQ0e/h70HxJD3O1defKuT7DW2eg3qgtvvDuJxKNp\nqt6d1YFP21DqSurQmBvdajQKPYd25EjSdWqLqm4enKJ6MzVYbEiBRhS7REZqMRmpxbSKDiI/uxxF\nI2KutfL4i2MJCfNlwLAYFm09yg8nLvNzXjaPTBvAprWnKMypUHsrGgFFBFFSt2sP1KNoBbwjfDAJ\nGp5+/Q76DGyPzer4n1th57l7VOX5VTTW22jpNle8fCwNxSXjF+SNEuRNRUEVLWMimP3OPbx293Lq\nzY207qT6VrXu3AKNVoPeqEPjaaShup6spHx3f04BFCLahxPdNYp7593Ga1NXYHNIOJ0aNTC5XHSO\na0vamWso0NTviRvTjfMHkvEJ9OLNaStxOSQWbn6aoDBfyq9XAFCQUUrKuWxcDkntHwkC9eZGQGgq\nFTqt9qbX0Gpp2SaQIWO7c9esYX/Z/kHRaFjyyhbVPVa5IYCoaSq3VpXVMfLuPly6kIsgyaoFuqD+\nJiVZoSS3EkFQB32P7rrEsPE9Ka9pZMOXx3C4ZEaM605km2BGTuzD7u/PIYgCiiAQHRNOrcWGLAoM\nG92cIf2/jeag9DeHoijs3X4RnZdR/SfTaRG0Wsx6LYrRAzwNzPtgKl7ukt4ri3dQWGrmVHw2Xy26\nn8LrlVw6m9kkq1KRW8GoyX25dDSNj57byNUzmTyzaCrd+rXllY/v48j+FM6dzMDplJj/5Dos7mHb\n3fFX2fBhMbpYI8EJTi4cS+fLJfuY88JtiL4mXC4JnVGP6FIHa2+/sxdHDqTw1aojtIwKQLS6NfsU\nhYhwf6ZOjuO+25ci1jpUppwI7dqFkpNegqAoaEV44tlb8fbx4PUXfsR79VEssSplN7/CzCebf8aB\ngsbd9+82sB1aHyM2cyPXsytwVDpQtCINjTLD7uhBzzjVXfR/HZAAZr4xEU8fDzrFtW3q9e3dcIra\nOhtoNPQa3glZltm3/hS7vjzKmZ0J9BjcgZnzJxPhNvHrMbwz69KXUVFSw7O3vHfj4jdJ//iF+lOS\nV0VJXhWiolBXYUHQ62jRLpRX1sxCBHz8vXig60uAQlleJS6ni3EPDaNTXFuuXbzOJ27liYQjqUx7\n/nbmT/8cl8MFgqpG8WtiRmO9nddXPUTiiXSO7rqkipzKMogit97bn5nPj8U34Gb2qCgKq977mZpy\nCy98NBWD8fcU+qQLOciyQtH1Skx6LU6bEz9fIwYvD8oKqhAEgfz0El5bMpUVb22nsd6OrCh4GHVq\nJq4AKHh4GRh2e3cWv7GNwqxSBODr5fsZMU6dNXr8zTsZd29/tUd2IIVht3UlsnUQl89kER7h17Q/\n6SmFfP3JQXr1b8t9bhuOZvz3aGbf/c1x8Vw236w4xOa1p2nTuQWCu9ktuIVARYOOdjE33T4D3MEp\nwM9EebGZJyetYMfG87R2N+olp0RUmC8VOon6HuEczXVbWTslVq88wtnTWSiCgCIKmCtVKrEC2P3V\nRcbpc3Ox8fAy8OEbW3EKGhStjgEjO9EY5YctypcSm52SYjXr1xt0mOwKPlotogSlhTVUVdWjNagi\ns4IkM+T2rjz3+ni1eQ9ojFr69GvL+TOZ1JobKcyvouJMKZ19A3h38igUQbULl3QafKP8uZhcwIXT\nmSRfLqC+zobRBkaLhMvuYtfWBBIvZONySZjddt2ZOWVcSLrOhGe+5MmFm7E5/hqbEUCSZBY8tJop\nsS9y/kAyAWG+zF04laHupj7A3vWncDpc6D0NPL38ATr3b48gCBhNeqpKzJzcHo/eoEOWZdYv+pk1\nr2/Cy9+T6M5R/7gxUBTM5bWIokBYqyDGPDAYvUkNrqV5lQSF+uET4IXOoFU16ZdUUakAACAASURB\nVBSF3V8f5anhC3A6XLTp1IIuA9qj8/RANOgJbRXEe498jUsR0Ht5gCiSdiG7KeNCUejWvy1tOkVy\n8Xg6DuuNcyOgN2gZNaE3p/YlsX9zPF99uAeLuZGDWxPY9e1JTu2+zJIXf/zD83bP7KG0jQknLNKf\nxjqVmm+ubnRT0AUUWeHc4VSQFTaefI1N597ky73P07LtTUmj8fcPYGv8fDp2i6JVdHCTf9cwt1zQ\nteRCzhxJo3WHUK5eyuPHNceYd99qFjy1njfnbeSh8R/jdKr9vR+/PklSwnW+/ewwmdf+GiOzGX+O\n5kzpb46IqABMXgbsNif9hseiE2DLVycI0Gt4/K0JdOwYTnDIzdr9ktcmkZJZQveYSMoLa9ThTUmi\nTadwCnIqkCWJ6NgI/DuE0lhRh8NDDTKSJFNnsaoCsLKCIAqYjHpsTgkkGY8SK/ZQE6b8BoRGG4K/\nJ1t+uYjG6kTy0SPaJaY9OIij5zOptDSScS6HeS/ezk+bznPHhN7cels3MjJKeO7ZjbhcMl9/fZzZ\nT45i4RtbQYDTWxK5sPUigRG+VDTYkfRaJJfMbeN6kHQ5n+TUIkQJ+gSGMaZ/LD+2CqIwvwqDUcsd\n98exdvVx1c5DFFEkGVkDgW0DsVw342MyIGhE5jy3nuzcCkYOi+HQiXQMBi0WnURpZR1ZeRV0af/n\njDxQHVbP7lPFRI9tj6ffmN/rp01+fDQbluxm5D3qMOjo+wbSZ2QX3rl/JelutfHj2y7g4e3BxiW/\nAGAwGXjo9QnMnD+Zn5bvocEdQG9AoxH46OfnCYrwZ+XhN9j82QE692vLo0PewWJu5IWVD/L0xzPY\n8+0xrhxPIzelEEtNAwGhvpTkqRJGANs+P4jd0oCiCHQdHkvS6Wt4eBqoq6rHx98TnYeepDOZzB7q\nztgE3Cw8BU8fD16atkrN4Ny9oEtnMnjoudua9jPtUn7T3+aqeo7tvkyfIR3JvFpE9g06vk4DksxN\nfjuIgoCnjwexPVtxYk8Sn7//M2EtAhk9sRfB4b7cclcvBv6KoPDaonvIf3Q4Ua2D0Om1FOdXMW/G\nFygKjJ3Um2C3A7DD7iI/rwo0IjaHi/TkQrr2as2gW2I5cyYDRRB48uFv+OSLmcS4y6nN+M/RHJT+\n5ghvEcB3Pz+Dw+EiONSXHnFtGDCqM5Gtg39TPrkBT5OBft1bA9CybQhdukWScj6bhMOpONx30UGR\n/ky/vTe7jqQwfeoAAIxGHSZ/D+w1jXSMCeeeyXEIgsKGr08ycGA7tqVkUu+w4wjzQqpUkE06tGUW\nRIcLoV6DR6tAJrz0FfX+Cp5mB/YyO4cPpZKVU8GKTw8w5tauxMREYDIZqKuzosgKQ2+JZaVGpN5t\nJuhCwSArTLonjr792qLRioSE+fLS63dy4lgaRm8jo92L0l1T+vLd6qPcOr4H6xOvUNFTj6wTMJYp\n+Fy3o3HIlOVWc/vkPpRcK+eVlzfh8lYDcGaOyhx0OFyE+nqhR8RDr2Pl8bNoRQ0d/QLoFd0CX0/j\nH16T4Ah/7npkBFfPZ3Hn7BF/+J6hd/Vm6F29mx5fu3gdS009fUZ1IT0hB6OHji9f30RAmF9T2Sz7\nSh6bPz/ElYTrPPHJDBbPXAOCgN7TiMPqwOGUWDD7Kx57dzKxvdvw/CczSE/MbVIgX/XKj9RV1DFy\nan+GT+5HlwEdCAhVb1h6De3IsDt7cXL7Ba6cSANAZ9CyYP1cBEHg8Vvep66qXh20baKBC4h6DbLr\nZlmvxp093whIADmpxfQa1J7ImHAKs8ppsLtw2F0se3kTZw6n4rQ5Wetl4N2vHlYVzxWliWqPrHD7\nfX05vjeZhjorTkniyK7LHNqeiLXBQU5GKWsW76V9pwisNie7f7rA2Ml9EEURrU5DdIebVYLGBntT\nBfLCyQx0KLTvFM70J0dhtTpZ/t5OIloE0C5G7fndcns3Pnr/ZwRAdskUF9XQqnUwHqbmQdr/Bs1B\n6f8H+LUpmiAIdOrV+i9/VqtVK7wupwvFz6BmBxYrX766DZdTIisihG8W7KKqrBadu2EdFOzN8DFd\nmPXAGvJLzLjic3EVVSO08EBX7yIsyJvSCgsGgxanw4W/vydldjsWoxYQaIzyRG92cXl3EqKPgahO\nEeh0qv3Ap58+wNWrRQwbHoMoinh5e1BfZ1WtyXUi9z4ynNsm9+X8iWs888AaRo7rwY/rTlNVYWH0\nuO7c4XYovWtKHHdNiUOSZDbdl4zcUsBYoaCxq30rBFXNoWtsJOf2pyIoEOHnRUy3Ftw7sS8nzmUS\nHuLDkk/2oygw//v9XHCpjX9drUJbH39+eOl+TMY/XqDmvnvPX74GCYdTeGvaSmRJ5vmVD/F1wvus\neul7Eg4l4+1vIiDcn9zUQoZO7Msyd+lLr9ciGgyqWoUkY/Iy0OhUyEwqYO3i3Sza9CSgOuiOfWAw\n1WVmEg6lANBQZ2P+90/+Zh80Wg2+vkYkm6Op5OXhaWwy6Xv581kc3nKekrwqLp5MJyjCH0kREDQC\nRdkVamnvxpyRKBI3PIbcjDIaLFZunxqHRqvhtWXT2LHxLEPGdCYlPofjv5p5clidXE8v4fPtT6PT\na0iJz+Gbj/aq9u9hvk1MP1ujk++W76dTr9YIeVU38igyU4v46OWfACjKq2TOi7830WwXG0Fs9yhS\nrxRQWWkBSaak2ExAsDevzl2Hvd7B+MlxeJhU2w2NRuSOSX04vC+JnnHRfLZ8P8sX7eajFdObM6b/\nAs1BqRn/Es8vuY/D2xI4fyWfpLQSbDYn777yE6Kb+HD2Ui5lhaqqg6uiHq1WpCK9jMM/X8I/wJP8\n/CoCAzwpPV9PUGE9PkFejJ8Rx77NF7j74TGYvIxIWpFF7+9CX+3E6aNFY5cRneow5pC4trz04ZSm\nuZuoloFEtbxpK9GtbxtKCqsRRIHWnSK4bXJfstKKeff5H3A5ZbLTSzH6qgQHm/33fR+NRqRHi3Au\nJReqZA5ZQRRFjAYttgYHS17bxoD+0QS1DGT8Xb1o47Zc6NguDKdTYsv2RHLzKuneKoKE7ArV3NQG\nReYanvp4G1+/cu9/df4vHUvlzXs+RnEv/lfPZnHL5H68+u1cEg8l03VwR/xDfLHbHHz09Hr0ei1O\nl8TAsd05v+McsqSgaLW47E58gryxWCX6/YpBdulEGnu+Ow5aLQICRl8TJi89hZmltGgf9pt9GT97\nBAc2nMJabwOFpsUZoHVsBA+/OZGCrDKmPDWGDt1b8syE5WRcKcBg0uOyOpDcc1JBEX48tWASljor\n/sHepMTnUlZUQ3RMOM+9OwkAS20j0bERlBZW4WEyUFVuYeW7Oxk7NY5n3plEQIgPy1/ZDMD3Kw+h\n02ubyosAoZH+LFj9IOtXHGTHhrOERPhSXmRGAPZvTfjDoATQuWcrUm+oW4gatAYtBg8dFosVRach\n89rN+ai0pALCQnxYv/1pUpIKOX0yQ33+alFzUPov0ByUmvEvERTmx9THR8HaUySlFKExN9Jgr8UU\n7IVvh1DqGxwookr9FUQRbC5y0or56NUtePoYWbpqBh06hrPEJZObUcaLi6fw0v2rcTlcrFmyh+3x\n71BrbqB33zaUXq+kKKsSFBh+SxccDXZmzRuDVisyf/VeyqosjO/dkS8W76VDpwiefv52CvKrQKdB\nccnMnDOCa8kFvP3cj7icanknJMyXtz6eRlLidW4Z2+03x2a1Onj28XXkZJeDh1pyEhRQZAVrvQ0B\ntcSUnJjHl6/fiSgIpKcUcvpwGrdN6EVkq0C++HQGSelFZBZWEpQs40JG9tUioVBaVfdfn/+CzBIU\nSW6y8t634RROh5MXVz3M0Ek3xUcrisyc3n0ZgFFT+mGzNBLSMpjSnDKiu7SgqrSWuR/cy6A7eqH/\nFbNNcuu43Qj61spaDn9/mrzUIj479c7N7y+uYceaw3Qf3olLJ9Jw1NsZfndfrpy6xu61J7l12kCC\nIvx5cuxHuJwSb375MFkpRYA62Pv0+/fw6SubAKjMLeeBuLfBoEfnocdpd+Ef7M364682udF6+5r4\n7Gd1oLY4v4o545bhAvZuS+SW8T3p2qcN3Qe15/KZTJwuhVnzRhHTPYpLZ7KoLKvl8TfuxMPTwNzX\nxjPlkeFodBqmDX4fWZJp9Q9eTi6XRK25kcAgb+6dNYTjB1Mod8sstYuNoGWbEELahlBaWsvp89lM\nK6/D19eDV+auw2ZVS4QvLpjE3VP70dBg59ZmxfD/Cs1B6W8ARVFY9/EBKkrMzH5lHH4BXthtTvQG\nbdNi899i6oOD0QPfrzhIvd1FQ1UDFjd5M7xdMMXFtSAI+AV4EhbgRWZqMYqk0KF9GLlpJZw/lq6W\nehTwDvOhurCaRqOWRquD997cTvKVfLQaEdlTtb6444GBdHdP819KL2TvabWPkZuQj1LVwJXTWTx8\n8hM1IOk0YNTx9ryNYHcR1joIWRDw8/PgreXTuHA6k4y0EgoNDg5czaZ7u3Bu7xNLgFNLdqbqC9Qy\n2AdJFLhjTFfWfnwARVJURQwBDGF+zLjnMwRBwKSofjspl/JY/t1sNBqR1z7bTV29DVGRMdRJtPD3\nZcCtnRjZ+88HbP8Mt80Yirm8jnMHU8hNL0FRFHJ+Zfp3A+Gtgxg+sQ8p57Ioyi7j4IaToCg8vmwG\nd80Z+bv351wtxC/Imz4ju/D2+sf5+ZvjZFzJp76hEWQZo9dv+2Fr39/B4Z/Oqw80Iv6RAdTX23nn\nodVY6+0kHLnKOxufwOUOcjUV6lBtXkYpRpOeW+/tR3VZLRt+JfyKouB094ZqqxvY8d1J7p49/Hf7\nGtEykIdfup01i/cAagCtr7OSllIMej3+gZ6Mu68fnl5GusVFYzE3kpVWTIvWQciyQmCIDxlXC1E0\nAiAy/WnVvqW0uIbkxDy2bbpAdkYpc54ZzeT7B7B+93NkphWTnlzIqDu6U1Fe15RlV1c3MP/NLXyy\n8kG8vI3YrA58/UxotOJfsjZpxp+jOSj9DZB2KZ8fVx8FICTSnxbRwSx9ZTPtOkeydOPc/0gsMvlc\nFl8u2I6HrwlPHw+MJj3hkQHUl9bg2SKQGlFAVNT+S11Vg3uAUaFt50jmfziFo7uv0LFLCzw8DRz+\n5RKSS0ZC5v2n1lNTYsY/yp/7X70Dby8jmVfVO2qHBlpE+jNpclxTQAJo3yqYDi2DuV5Yhau4Fq2i\noNfrcNicKLKCYtCq+m0mPYq3AYeHDjnIRK1GpKS8lq9WHgbAbC3CrsjkVFSz9cpVxsnheAeaaBHm\nz6tv3cXZI6kc250EDklVOHAPe3qYDFSVqUoJoUHe1JkbCXMrTQsIGNw+QSa9DsXpovK6mdnj+mH4\nJ3YV/w70Bh0zXp+IzmQkN30Xoigwd9HvS4Iajci4GYM5tiORytJaMBjAauXS8bSmoPT9R7uoKKii\nVecoVr++CW9/T748u4ABY3swYGwPXE6Jb97bTk2Zmch2YWz86BemzhtL/KFkjm+7gCJJeAd6ozHq\nqCmvY8/ak03bt9ucdO3fjhc/mY6l1krHnq3p0q8dFcU1xPZqjSiK3PfMGEKjAki5kM3VxDwKi8wg\ny4iCgmx38OXCXRw7cJW7HxpMTkYp3fq0oc9gVUR44gODiGgZiN6go0vv1lhqrU3luprqBnTu33jC\niXQWvvgTjfV2tBoRAVj4zSzqLTZVC0+A4rxqvvxoBdezypAEEfRaBIeLHd+dYuiIWEIi/GgfG0H7\n2Aga6m38uP4M5qp6tT+lEamtakCr0/DphjnkZJTSq180ALt3XSI9rZgZDw1pYu41499Hc1D6vxxO\nh4vjv1zG5GnA4XDRpU8bDu+8iCwrZCQXYq6uJyj0r3kn/RqbVhwgM6kARQA5NAB0GnzlLPXutqKW\nXUkLSUspYvH8ndRU1KFpVO2iLx+8yvbYU9z32C0AlBeb2bftIopWgyKA5J7xMCBgLajB5ZTw1Wto\nFBUUrUhhWS2eWi0vP/odE6cNoP+wjnh5GGjt0FGWUo3olAmL9Gfy7KHs2hxPdkmNOtgvg4+/iVqL\njfJKC7JWRJYVvttwiqAwH6rLLQxt24pT+QXUCy609RIJV1RqtaPWSk56CV98pN7FC6KADLg8taAV\nKcxWVR8iWwWydNWDZKQWU1lZT3lpLSFhvnw1/z6uZpeQlpDPti3x+Pl7onWXob47nciKo2fp3i6c\nFZPG46n/z5hZ9867DbvNTn1NA61j/0K/wk0syHH3R1LPZ7Huve0AePiqxBdLTQOHNp3ljpnDMZr0\naHUa5rwzmTN7LvPuQ2tAgKAIfy6fSMNpV6/bsj3qcO1jIxaqPSIAAR56TVUQ6TU0hlP7knjqzo/R\n6bWs/OVZUuJzcbkkBt3alVGT41BEkX07LiOIAv4BnsR0j+LsgRTQ68hKKWLxiz8hCwo/fX2CNu1D\n+eDLWfgFetFvWEzT4Xn7enDX9AFsX3+G2B4tKbpeiW+AJ28+urap/+Zy79+78zYSHOHHnBfHImpE\nvH2N5GaUuq+1gl4Al8NFVVENP6w5yjPvTAQg/lw2b728SfXCUkBstINWQ7+erSgqqCI41Je+g9qT\nlVXG8qV7uZZ6c1bp+ZfG/SeXuRk0B6X/67Hy7e0c2HwBgGc/nEKvQe0JDvelod5Op56t/mlActhd\npF68TvsuLfD0/j112T8yAEweagbkrgC26NyCeh8TBcW1vPrwtyzb+CgdO0Vw7lhdkyamAOzeEs/g\nu3oSFeGP0+lCkVSTui4jO1DpB+EZZkoSi/jmo71cOJnJQ8+MYe03Jyi2NBLk78nyBTtxSTLpaSVE\n39Eec4GFvNQy8DOhb3Sw6OtZzH5pA9ayeiSdiCHMA09By9OzRrJvz2WqSuvIySkHGTKulaL3MrDt\n0It4ehlJvZzHwi/2kBDciN1PRFcn4TTbsdudeHkbaWyw88LCyXy+4gBVkoTglJH1GkS7RFFeFVPH\nLUOv12J3yUS1CuSb7x8jNNCb0EBvai3W/4e98w6Pol7f/mdme3olhIQWAiEh1NB776AgICBgwQoq\n2LFhwYoN7IqgiCBVpHcINYSaUNJ772WT7bsz7x+zBlHOOf7O+75e1zk/7n+42Gt29rszk32+z/Pc\nz31jCdJQpndSXWeiWaA36xOSqPO0EV+Rx8LdO/lh6rR/6z7vW3uCjcuVeaTGegtLvnnwT8fE9m7H\nW+sf49LxNK4cTyHzch4VhdXUVRoJbRuM3lOH1WTD4pAYM2cgp3ZfZvWb28lNKea5L+7H0mgl51oR\ndocTvJXAlZ1eikMWiIhticFTx+uzP2PsvMFNmwuAXiM7Y7O5mNtrKUajBbtdsZd32J2cO5bC6nf3\nAPDKV/cyYExn6qobQatCFgRqas1YzA46DIgi/XJ+U8b9G3Izyln3xVGeWDqZP+KRFyYw65FhfPrq\nNhZMWkHvYdHoDBqsNoVQIbqtOoy1Zoz1FgaP6cz0Of05vv+qIrgqySBJRMWEknapAJdb4+43XEnK\nx+mUcDptIArIBi3jx3flwO5kdv1ykZbtmrF680K2bj5Hmnt+SgA6/gUF+dv4x7gdlP7DcXyfMoQp\niALtY8MxGS0sf+pnqiuM3DGnH68vWMvVE2n0HNKR5z+di8qt4PzR8xs5sfcKUV1asmLbE386b+a1\nYmSnUsYS680Etwxk8SuT+OqdPRSUG0m7VoTFZOPV96ZzeG8yK17bjuB0IcsCZQ479zy8ihefGs+Q\nvu1Z9vW9lBfXct5Rz5Gz11DpnQQDyDLJVwpITitl6fsz2LH3EpfO54FehWgFi9XBheOZgMhvhbAW\n3Vvi4WOgwWzD6a/CEqRGlCSqZRsX0gp56ulxzJv6KaKsCKI6NSJx3Vvj6aWnoc7M8/euxqKTkcf7\nUxmnw++6lRlj+zJ0bGd69m+PxWzj0x+PU66W0Nrlm+wScCoCoDabE1Qi4h/6dbUNFiStiM3l4qej\nFzl6KYvgEA+yZUWZorjGyNpz5/i2/DQtvfxIrS9haGgHVvb51/TwJPdsENCkZnArxA2JJm5INKd2\ntebjhd/TeWAUPoFemBustO7alsLsCvqM6cLjH8zm7MGrytdy94FenraClHPZdB7Ysek7H9p6AWuj\nlei4NmRfyMJqshG/LZGOPduSdiEXtFqSk4o4fzz9hsyQRk23AZEMndSDoFCfptd/yx4Hje/K6s8O\nK8eKAlq9RrnvahWy04WPt44Gt3grosDFhMx/+H19/DwocPcFryRm88JHM0k8ng6CwP6tFwBF++43\nPDTtC8pLa4mMbYHZ7CCqYyjH9l5BlmVkvQqL5YYV+tQZvUm6lEfa9RLaRASz6Llx5KaVsX/nZQSg\nKKcSu93BwMFRnDiRRlTHUF5YMpHmzf24jX8ft4PSfzgGj+/Koe0XmfHIUNpGhfLs3V+Q5d61rXp/\nD7nXisDh5MSuy0x9eFiTFUCV2wituuLWDLEAfwO5WpVi2IdAVWENj0xaicpT12SH4XC4OHv6Oive\n2YOsUSOrRESzHU2lGewujh1L4dOXfqFNu2a899U8VOn57Dx7HY2gaNWhcXsnyTJff3qQWocd0eJA\nsDqUEoxahSTK2ANUhFh0NG/hz1tvTsXHS8/ypXfxwrp9mM1WcMl4lNi4fCydq+dykBwSqEWiOrbg\n2Ten8MMPJ1m58iD3zOyDLMuoLTLhpy3Yg7T0b92Gh58ZiyiK+Ph54O1r4MyFbARJRqy3IRnUikq4\nU2pS0hZERe7HI8CDT1Ye4MnHR6FSicyZ0BODToOXt56XdhxEBnTpDTRr7UGNw0JlRh0rz5/GEeLg\nUtcikOBAcSoWpwOD+p/3nwZMjuPErxdBEP5kXX4rDJzUg4GTejT9/1J8KhmX8wCI6d4ajUbNhzue\n4WpCpmIGCJQVVAHgtNl5bOmd2G0Ojv1ynpzUUpqFBdC5x3AOrj/NxPuHMu7ewcyJe4XqklrsZhto\nNWB30HVgBzr2UDySPLz0PDb6fXA4QK0isnM4AM3D/Jm/eAzJ53PoPbA9jbUmEk9lIKtV3Dm7D8Mm\ndmP3pnOcOZaKudFGWXEtLzywmre+vlexQv8DFr87nWdnfYXV4mDXTwm88/2DWC12tFo1SWezKMiq\nAJ2GoBb+FOUr39Fqc1FcVEtpVgWIiqq6zlPP7EeGYbc50erU+Pl7EhzsQxol5OVUsum7EwwYHq2M\nC1gUE8a3ntvM3AXD+fHHRwi63Uf6f4K/NShFRUX5A2uAUUAl8FJ6evrPf+ca/tvw9DvTWLRsalMG\nZDbZmna5baNakJtWCg4nfsE+tP7d9PpzH8zk8PYL9BsZe8vzRkSHkZhZhqxV41FnVSjWgjJEiyii\nUot4euk5fyarSTKmR992JB1VdvSCw4W9xIjkkshOKWbmqPeh0UGQ2u3xpFWDRt30Q19eVk/LdsGU\nZFUptGxA0qkJbdDw8KIxjB55sxRPn25tedY+lK/2JtDSpSc3OZPKymrsPhpCW/rRpWMYT7w0iT37\nkjl2TFlTnz4RfLD2QV56bwe1DVY8a2VadfJsunagMLueeWQUh+Kvk7YvDbHRPdskgiwIuLQqBEnG\nYrJx/Uoh168X07pVAF26tCaibTCzxsVhtFjR7VFjdTrpEB5EtqUeXaMAEliCAVmNVCOhkrQ8MSju\nXwYkgCF39sJYY8JYa2L8vEF/5dG4CV0GdKBDt9bYLHZ6u+95y/bNafm7WaTXflrI6d2XGXPPAMLa\nhQCw8YvDIIrU1ZoxaEUkhCYPRKebkaaSXLi0OoIjAggO9qZbv0g83Oy92t82PZIS1LevPk5+Rhn3\nPjue6Q8o32PH2lMIdicaWWbqvIGEhAfQsUsrvnhnF7s2JioZdWIORXlVZKeWcu1iHrMeHUqI22Av\npntruvaN5PL5XK5fL+H7lQe5f9FoFrw8ifHRLyJIMrLNweWEbCbN6E38oRSqa8xNpTpFkV7A3mDj\nlWc3UlZuZPSErhw9dp2IiGaEh/lTnFPJ+RMZnD+R4SY8KH9jVy7lsfC+79BoVbzyzjT6DejwP743\nt3Ez/lY/pc8///x7wAkMBBKADZ9//vmOJ554ouovvv+2n9ItIP6uPNFneDQJ+5Ox1pnoNSSKx16b\nQo+h0Sx+bwYazY09iJevgS592hEQfGsH2s59I2kV7M2d03rx5BtTySuoprHewrR5A+gztCOPPDMO\nb189bSKaUZhXxcjxXXhm6R0UldaRk1uF6JBwWh0IZitSbSOy2Y6g0aBRizRvE8jYSd3x9jXg5WOg\ndVRzampNTJ3Rh+STGUpEUgmAgN3qZNi0nrQJD/zTGjuEBVOaUkV2VgUqCZwWB05PNfMfH8WDj45A\nq1OjUqk4eiwVX18D8+YO4HBJPqdPZSG6QLI5yT6bS5feEbz8yA/8/O1x8nMqmHvfIMaP6kJBUQ3V\nVQ0MGB6NWqem1u7ApRKQVQJhYf4YzTYEQaCsqoF1G85QUWlkYP/26DRqJsZFM7hjWxbdOYgj17Kp\nrDPh0oKsBQQBSRLR6TWsGasMBuc2VDPx4LesyzrPmPCOeGv+3Odr37UVJ3ddZsfqeGJ6ReB9C4+m\nukojO9fEo9VrCPxdGUnvoWPcnIFMvH9IkyL8HxEU6k/3IdH4BNzw1TqxJ5naygY6dAnn6IbT2Cx2\n0i7mMP2JMbTqEIokydidMg21Zsw1DeSkFHNy1yVmLVK07GJ6tqW8uJbZi8Zw5Vwu33+4j+xrhUiS\nTNxghbgQ1bUlkbHhTHtwCKeOprJm5SHCWwcy7q5eqFQCqUkFaDQqOvduy/vPbyErpYT6WhMDfzcE\nPHxyN7b+eAZ7o5XrF/MYOLoTfoFeXDqTSUVpPbJahcVsp+fADpyKT8NhcxDZsTmPvziJkyczkJ0S\nsijQ6CZ0VFc3YjLbqa5q5OXXpnDhVDpOSUJy28l7+3lgtzlpFu5PQ4MVySVz4mQGM2b2RaW+rXP9\nH+GnFBUV5QFMBWLS09MtwOmoqKgdwFzgpb9rHf/tCGruBy4Jp8PFoc3nHxdxgwAAIABJREFUuPe5\nCUS4tbr+J8jJq0IM8qZLr3aoVCKvfTSLRqOFytI62kaFsuaLw2z6/hQ9ekeQfDab5LPZ5Ocq1uOo\nBASnMnuCzaHocYoi/uF+zF80mmFuqZ/fcOJkOonXC/lh42l0UUE0Ftejdmco5pZebNh/gSF92uN0\nuliycicZeRX0DW2OhyCy82waACEBHsjF9QQ79dTkVmMx2zm8N5lvPt6PTqtm+OhYPA1a1h65QH17\nNdo6idbZKvrc0Z3DOy9TlKvsiw7tuMyg0bGEtgrk2Il0ABLOZqO2u1A7nLiQUfnoabQ58Av04qnF\nY3n3A6WRvy/+OnfN6EVky2Ba+PvQwl/ZOP346HSW7ztBq2BfPt5+Esklo7eJ/Hjf3U19qbMVeVRY\nFV24I4VZ9AlqQ/vAmwNxzrUi9rhp2Lt/OMnDb9z1p/v26bMbSNifzBZfA5vSPsRudfDW3C+oLTfy\n4g+PEh7Z/E/v+SNMRgvIMp6+Hiz/+THyM8oICvEhYfs5nHYnnfsr2UDvkbH0HhlLUU4lh7edZ9On\nB0AQsNslXC6JD59eT156Kc98OAsPbw/mj1queCoBHbu1bvo8QRDoOyIGq8XO2llfA7Bp9UmWfTGX\nhhoTTosDGdizMZGWbYMoyKkkKjYcl0tCkiQ0GjWnD13Hw6DBZrEja1RkpZfRpn1zPtrwGKtXHOT4\ngatMndufrPQyUIvIgkBuWpniQqtS0SgqzylWO7IoEhURjEWATrHhxPWJAAlcNheyAEPGdyb+WBqi\nh4786gZEUVCye5d8U9Z9G/8e/s7yXQfAkZ6env2715KBIX/jGv5XYNaTo9m+Kp4O3Vszo+dr9B8V\ny+J3/5rWmizLFBZU8cRTP+FwuHjogSHMntkXq8XOggkfU1lax5znxnLiSAoAKVcKm8hSJ4+ksGL1\nfKoq6qkuqMFYa8IuyXTpHcGd9w3kyM4kCjIrbvqs3buTuOjudZhdLhpVIoR5411lxaO1H1nYOFda\nytW8Mry1Gk5dUmjc+7JTMJRaadG5OUa7HVuNGZeXlnqTjY1rT6PXazl+4CoOuwu7zckvGxLYs/kc\nOr2aQK2MvYWOBqedxKuFLH1pMonxadTXmZEF2LLhLK+8Ow1PTx0mkw1zgwWVTSEDqGUZwSVRb3Eg\nq0Uq6huJjAvj4sV8XB4iWYVVRLYMvuma6jQaXp08Apck8cPPiTSYbQztHkHnZiFNx4wO78iK68ep\nNVt4++ApbM7jfD5hIuM73CgHhUeG0L5rK4qyK+g75s/K4kBT9uTl64EoiqQkZjVp2sVvTSQoLABZ\nhrFzB9JYb6am3IiHlw4PbwOePgbyUot5esy7yLLMR/uWEBHbkmi3VuI3p5ZSUVRDt0Edld6aO6CG\nRwQzenovNq3cD0Bo60AKMsuI33EJgJfnfk2D0YqHjydmk435SyYweGI3/giVWiSuXyRXLuYxeEws\nv6w9zc6fE5EFAQGZEZN7MGh0LHU1jax8fy9ffnYYtSzzxiezWP7SVuyShKzXgCCwffN5Rro/Y/7i\n0cxfPBqAjJQS9u27AgJIdiePTVrBkk/uwdhgYe+2C6RezkdQCZw/mYlar6ayuhGVSqRZqC/1Jiuo\nRC5dyFNEYWUZ0QGySkBQqtvMnPYpy96Zfltm6P8Cf2dY9wL+2FU3AreuH93Gv43RM/rw1aEXqCir\np6HOzIEt527SBftHkCSJ56d8wsODluFySU2vAVhMNqrL65FUAp+nXeO6txXfEC+l4e9nwCvAAz8P\nLdu/i6dZsA8GPw969o8Eh4uaykY2fRPP6UPX2fjNMfZuSsTUYGXjutOs+HgfJ+LTFOaeex06rZqv\nfnmS+c+Pwx6gwsfHQHN/L1o292dAtwhEGbT1DgS1SG1qBa6MGsz1VkQ3FRigVZsg7pjVBzw02Jp5\nYA0yYJFlZIeExiTTy0MJHCqVQJfebdl08iXCYlog6zXoDRp8fT3o1zMCwepEkHCbqCpup7LFgb7R\nhkcrL97+NZ5ThYU4PZRBTQ/tP+4PlTc00ql/SwYNaU+uupEe735OQo5i0yDLMrV2E7IENvd8TW5d\n7U3v13vo+HT/C/yS+RFd+t+6d/H48lm8uWEhn+x9HoDoXu3oOqgjLTuE4uXvyYpFP7Jy8Y8c3XyW\nx4Ys49HBbzKv6xIe7PUydZVGcq4WYm6wYmm0kX214KZzt2jbjG6DOrL+471MbL2Yr5dua3o+moUF\n0LlvO3R6DY+8fhfhEc3oNSwabz8DxhoTstOFubYBb18DXftG3nLtz8z7loun0plx3wBGTe7Oif1X\nkSQZtVbNumNLGDm5Ozq9Bh9/Ty4kKHtbpyzzydu7FH8o8cbPWYybVPHrT2f4bNlO6mtN2GwONm1I\nIDo2jF6dwxBtTsV8UJYYPbk7K9Y+RFRcm6ZzOOxOStPL2fDVMewumQA3kcHUaEVw/30IkoxkUNEu\nujkOSaK63syGnxP+4TNwG/8af2em1Aj8sRHkCzTc6uCoqKiHgYf/8PJtTfh/gEajhWvnc+ncO6Jp\n7uiu+UOoq26k38hOt2Qt/R41FUYsJivXzmYhAN0CPBg7fxjDh0YD4B/kzYufziHxfBZra/IhQENF\nnhGtGRAEggI9qc0q52RpHbKP0rMoyChHUIkU5SrZkaxSgQD7t55n4w+nKS+tQ6URkT00NA/wpKjO\nhGwX+OSTmWz/7gR9h0ez+/UH8NLrmmwgeke34mxittu2/AYMCLgEAaddom37EMIig3ljyXpsPhoE\nl4woQUBUEKF6D0Ka+7L4mbEkJmTTMaZFU8ll+edzSb6UR58BijzQXbP6cCUhE51GhanWTH2DBZdG\nBaIKlyAjZ9YjdTXgMojIKhl9vcy5K/kM7nnrH91P4xM4lJmtsPncEXjTxSv0i2hFkN6LhdGDOFeZ\nT1y7dggukQe6K+y5zPpy5p/9DEmWeL/zfAaEtfuH91GjVdNrxA3yisFLz/u7lQB13p0xIYBGr6HG\nzcCUUQgJlcU1DLwjjszkfGRJZsiU3n88PQDHd1xCcrrYtfooB9efYtnPj9OpdzuWb11003Fvfv8w\n7z/5I/E7Lze91lBvYcuqeHoNjqL/6M5Nz6rFZCM7VRE7VYa+TYyb0RNRFBg6oStBIb5YLXbKimpp\n0z6EqJgWpF8rQgSqKxtAlukzqANt2zdn7J3dCQ0LIDejjK/d0kQGTy0xvSI44SbizJ43AA+dhjbt\nQ+g99MZQbk5JDS69GpAR7C4ESQJBoCC3QnlOJBmXLCsX0WwHrYoV786kqqqRt97fhaRTcfJyLuUV\nRkJus/EAdkZFRdn/8Nq36enp3/6jN/ydQSkDUEdFRbX7XQmvK3D9Vge7F33TwqOiotoAuf8/F/mf\nitcf+Z7rF/Lo1jcStVZFdlopSz6exVd7niH9SiHTe76OS5LoNSSacyfSmfnIUO5+eCgAackFPDf3\nW0SVwF2Pjyb7aiH97+rFyOExTSWaRqOFinoLhSVGQtJMWDyUbAWNkhm07dAcnc1B6/bNsahEkhJz\nwCWh89DStm0QadeKkXyUH6DM4lrkRmU6XpBBsDipqTGjcsnYPdS89eQ6aisb2LL3Iuu2LOLk/suc\n2JvMPU+MZNzQTqRklpJ5IpvqojraR7fgiefH4R/oRX52Jcf2XyVuWAcOnkjBVmfBUNSILAjY2/ow\nZlgnitIrmHlPPzw99QwfeTO1OjDYm+G/K4uV5FdRU1YPTpcS2ADJQ4dk0DQpiksa5frIgoyu1snu\nn89x6Oh1Xlg4huH9onA6XajVKi5nFxOoU9TKZWRUNgFZBWfT85s+b1En5X4UG418ee4cR3JymBgV\nxZ6Cy0gq5e96W+75fxqU/gi7myGn1WlIir+uOMMKAu27tOKxt2ew7ctD6HRqRt/Tn/bd2lCUVYbJ\naKHniNibhFt/Q0FmGR26tUaWJIoySrE0Wrlw5Bqdet96TVHd2zQFpd+UFk7uSeLknmQSj6byyhfz\nsFrsPHH3l7icErE92zD9gUE8OOkTTA1WHl0ynmMHrlJWWkdSQiY56WVMu28QssOpMDfdn6PRqnnx\nnWk3KZcHhfgQ1MyH6soGmoX60b5DCM2a+2K3OTi9N4mi3CpsDhebVx3n1/UJ2JwSBg8tFp0KweFC\nUIsITglkmSmz+7F9w1mlZ6pWgQpkjYqI9iE8v2g9AYFeqPVq7O5MXfqdNfz/ckxOT0/P+5+84W8L\nSunp6eaoqKhfgDejoqIeAnoAk4D+f9ca/pvRWK8MVNZWG8nPUnx94ncn0aVPO/ZsSFA8h4AzR67h\ndMoc+vVSU1AqyK7A4XCBU2Df7qtYQ704s/o41TYnFedyObknCack4wzxU/4oXRKedS78Qv2QAgxU\nlhsxe6j4/ugSADLTSnh8ttKwDosI5oVPZpGTWsrbb+7A6XDhcrgQzDbQa5E9tKASFRUAUUB0ytTW\nmzF18EPSq3nnu4Pkb1C0835ccZCPNi7gjacmUnRXNZXlRgwGDeXlRtIzSslMKqTL8Pa8uvoASDK6\nRocS9GSZhdMHsuqrI+CQuHIhl1/2P/cvr2mHTuH4+HtgM9nRqRQafJ1Ghf13M7N+6RYsITr0ta4m\nryBTo40vfjrBmnWnKCmrY87cAXx6RCnp9OoTxpmqQjRmEFzgFfRnlt17J0+wOyOdn/Mvsq24LS/1\nGMKBkiTsLhePdL+1KeCtUJxdzlMjFWXsxz68B8HN0vTx98TTx4PK4hrK3FlsTG8lu1v16hYS9ydz\n+OcztOvcktC2wXz4xFoa6sw8vWIur875ioqiGgJCfBg9qz81FfX/lKIeHPq7QVKtBkQR2eZCEODs\n0RQKsspJSSpoIpq0bBPEyX1XaKxpBFFg1UcHcEiQcqUINTIyAltXH0cWRSJjw+g3Iobjh68zYnxX\nJEmm0WjBy0cJ/t6+HqzauYjPl+/li48P8N1XRzGJ4Omlx+UWgrVY7Gz57jgmmzLqgNnOtPsG8MuW\n8+4gqlDZS/OqCG0dSHFhjVIiFgQQodGkaOpVVTbg1KsQVALDh8UQ+m9Ie92Ggr97eHYhypxSBVAF\nPJqenp76z99yG38FS7+6lzMHr9F/dGc2fXOUnNRSRkyJo7LCyNgZvTl14Boul8TIu+LIuFrM1PsG\nNr132MRuHN6ZxJXzuZgarDi91KBVUVtj4pi7WY0sI1jsyAYtgkvZBdZUNqKptyDoRCWoASdOpXPl\naiEPPTOW1cv3kpNWytpPD7Nk+d2siQ3n0TtXYK11u4/KN3a6giwj++iQ1QK2EO8m2SIPg5aBYzpz\nct8VBo5RylJbNpzl288P07ptEGWFNZhFCWuwHiSZvUmZqGTQ1TiQRAHZnekFB3qj06ixOew4rP+6\nvwYQ2jKAvjN6smNvEkEOgfoaE7LFweyHhpBwMZe81BL8dTqEaglREpBlGdGdPVllF8W1RtSSRPzJ\ntKZzhju8aOfwIbxHAJ1CQpjX4+aG//nCIk6k5SGqJSS9RHxpNv1LW7Nn9AscK8jBoNH9cZn/EBmX\nchUnWOCDR1YjCAId+3XAZrFTnFNOUKgfOoMyVNqyg8LQ7NCjDYn7k5HVKh4c8AYDxnfltFs1ZNVr\n21C553Nqyo1kpZby3qaFTXYTFpONb9/4Bb1By/xX7kStUTFgbBdeWzUfjVaNJAoc3X6RKwlZ1FQ2\n4HK4yLxWxIkD15rWHN2lJZ8s2YIAtOvYgqz0UiWYAWhUiBY7uCRkvUhxcR2ZaaXk51ez9tt4Nn16\nCNkl8cFPj9A+VukpGTx0XEtSemNWiwPcqg19x3Vl+4+nsVjsTJ7Tnz2bzqHx1BES5kdSfBo9urfi\n0uUCMGiQzHYSj6fjGeKtzDwJihTSa+/M4OiJVMorjKjUIuPGdqGi0sj8+wb/5Xt0G3/G3xqU0tPT\na4Epf+dn/m9Bi9ZBTHtoKABPvTOdxgYrD8/9hqrKBpa8die/XH6z6dikzGJW7z5L/QkVdw7ujEar\n5tUVs/n2g334B3rRdXhHsnIqmDSuK+VnskhOyAIERKMVyeZCUCk+QyqnjGR3YrCruJpazLc/nGDT\nprNIkszwoR1pHuZPaWENLdsqpILCrHKiosPw8zVQXFRHVmoJgsWBIdCToAAvmnUL4/T5bBBgcqd2\n9JjQmbbN/HnxhU14dQmnn9sPKdUtMlqQV4VaFJA0IqJDBknGabRjjtBjCtXjUWpH3agQELb9eIpX\nl93F4f1XmHBnHHnZFaz+4ghderSmZZg/dVWNjJoa9ydKb2pGGQgCjW5nU1ElMGV6b345cR1HgJ46\nUUBSCbhkmQXzh3H3+DiuZpXw6LLNoBKQNAK55TU8OLMPtY1mtiZcBQkq8hoYNbcdPvqbM6W9KRmY\n7Q4Ep4oQvR6b5GRA8zZ8cv40n106i7dWx+l7HsZH96+D04BJcYy7bwglORUkn0pHlmXSLuSAIPDG\n3C+pqzAycmY/nvni/qYy7T3PTcJitrPt66MA5KWXNpFHjm2/wLwlk1j/8X5cLomc60XMi3sFQRD4\naNczXEvMZv/6MwDE9o1kwDjFV6jvKGUzseunM8TvSmpSbRJVIjovHV3iWpObXkr/kZ3o0itC0eiz\nOQho5kOkACX51bTqFEbq1WIl25ME0GuxWB0kHk0FlYBGr8FS3QgyHPjlIn5B3gQ3V7KVB58cxfKl\n2/EL9GL0XXFEx4Sxb72SueaklfH+qge4d9Fozp/M4NUFa5VnK7uCEdN7ceTANWSDlqDmvtSUKCaB\nuCRkICetlMWLxxIR0YzY2HC6/47mfhv/Pm7LDP0XorCkljUbTlFW24jKJZGRWsrw0Tea319uP8Wl\njGLOpRVyx6BYBEHA28+DZ95W5l6sVgdx3VpzMSmfXJ2KAQuGMyi2Fe8v3Y4kKBmBpBFRNdoQAIdO\n2SmnZZSiVauw2JWy2WNL7yDI35O0pALmDX8Pi8VBg9EKAoS0CmDWI8Mw1pp44JmxWK0O8vMq6RXX\nli4xYbQKD+T06XTefn83lbWNiC5ITiqg+Vg/5i8Yjt5DS/e4Nnh661m16hjFqYr+mTVAjS1AjawB\nW6CB0YOjOfVzEumZ5WReK+KlZcp3fHXJJg4XFnIsKx/PrHpEWWFbebcJoLikjmmTe6DTaXh64Wi2\n7bpI6yBfLp1IZ8T4rgQEe3PvzP7sPpBMbkmNclEFgc82naRn59ZEt23OgO4RXLxWgNXpwCXIJKbm\n45AV5W6NRVF2eO34MbZnprFl3g0ripndu3CltIz2wUE8NbgfnycmklxYToPdDshYXQ6c0h9YHv8A\nWr2GRSvvBeDo5rNIssTRLYnkp5ViblDKueWF1QiCQOqFHDZ8tId+47px95Njid9+EbPJyjMr55Gw\nL5ktXypadWajhTfXPconz/6Mj6+BHDdDL+tKIVHd26D30KLVaWjX6WZKdPyvF/nqtW0gqhS7EVHA\npVaxavleysqNGFQicxeOUNTAh8dwfN8Vzp/M4JWV9zBgVCey00v5/L09tGodyPgpPVn20hYqy43g\ncHHPA0MZPaUne9YncP50piJRdDSVdUeeR6USGTQ8hkHDY25aT7C/J4Ig0L1vu6ZyX8LxG0UbSVDM\nHn9DWUU9c+8dwL5fL9FotmG3ONiz7QL3PjqMuXMG/KX7cRt/DbeD0n8hVnx3hHMXcvAor0Nll2gb\ndnN9e2CXCC6lF9He4MOPP51m9sx+TX40m7ef54tVx+gd1xZvLz1l5fWUldfTr28kfUfEcOpoqqJX\np1ER0D6ENT8+TMLFHM4kZuM023HWWFAJcOzgdeIPXefTz+exY90ZKkvrFQagItRAeWENHt46OsW1\nQZJlHpn9NcZ6C48sHk27ts1Y9savxMenIgsga0XMQWpS8ssZA4SFB/D8K4pq9KsvbyG/oLrpQe7Z\nsSWH5Sp++9lu3jIQl7cWBIHSOhMA2bkV5AlW7P5KWUhfrkE0OjA7nXz43k4AHE4n980aQHRUKK9E\nTQRg7n1K78RosjL9jjim3xHH4pc3czG1EKdeQBZg8cIfCfI0sPKb+zDZHTz89kbqihsIdmoRvNSk\nOSsQZJDcPNLMquqb7k1UsyC23TcbgBkbNnKxTNEx/HX2bPbkpVJlMXO0IIcWPt509A8mQH9rdQa7\n1cEPb/9KVUkN9eV1jLpnICNnDWDk3UoLNyUxi4R9SYybp5Sa1r67k+RT6VyKT+XX9WepNTl58p2Z\ndOjehqqqRmYuVlNeVENwRAixfdqx7twb2G0O1rz1q8LUuyMOrV7D+stvI6pE9IYbRFlzo5WPn92A\n7HCCSuaO+wdjtrs4tf8KNeVGBIcLiyhgMdnwC/Ri1JQeXDydidlkY9mi9SxeNpWxd/VEZXNycMNZ\nTuxOxmFzIDgluvWJYM6CEahUIg++MJ7KZzeRn12B0WhhxozPkGSZ9967m6gONw+Qt27XjAefH8eK\nj/eTXVrL40+MZuq8AezffhGXQwJR5PiRFGbc04+ky/k0a+7L9r3JtGgTSNXVYkRBxGJz4nJKtxUc\n/h/jdlD6L0SonyeaGguiTZn9yb1ezHrrac4nZHHHHT2ZN7YXbX18ee21X1h7vYIAf08mTewOwNnz\nynDqhct5fLBsOkdPpuES4aed5/jyzZkMH9OZk6fSOR6fyohxnXn764PEdgjllecm8q17N/0bZBne\nXLyeDl1bU13VgEOWkd3ZFcDqj/YDAuNm9sHoJmr8ZkNdWuqe0ZFBUimCqL/uuER4Mz+mT+kFwJ4t\n50g8eA189fi08GHu7P5MvKsnefmVLP18Fx3bNYdap0K/lmUaGiykpZey4OmfsGtAaKZGkKHbyGgG\nd2tH/+Ex/LDnEmaLHa3h1vNG731zkO2nrhEdHswP785l0OQYzlQVI1pAY3LiqHdQWm/j8qU8ho/o\nxMioCHZkJ3EqNR9JL9IpNJjcoir0ZRJyoMiXj0y65eekllVwOb8EdKAX1Dy7ex91lVbwhK+vniWn\ntA61pOLnaTOIC/vzoObRrYn88tUh5RLaHaRfyGHkrBs7+pg+kcT0uUFd7z0qluRT6XTo0YY0d9b5\n7bIdFGVXsPXjPSDLqP29OboriYLsCh5feidanYYZj4+mrKC6iann4fVn4oYsyU2uw23aBfPQy5P5\n5q2dWNz3XEBR+66ubiQ/t5Juvdqy7Jv7WDz7axAEqsrrKS+pI9NdtrUYLai1KhAFYrq3aSq5VpbW\nIUkSkbFhpBZVY6lWNiErVx3hyw/m3LSm3RsT+WndaWpL67ikEhk+PIbYzi35cM1DvP7Uz9QZLYoD\n8p1xPLRgBE8v/okGo4X0BgvCbww7l0RmVhklZXUMHhjVpIJ+G/93uB2U/guw5qsjXEsq4NGnxtCh\nYwuu7LyGttZOWIdQIqNCCIsNZ8UXSsC4nryd2K4taRUWgE6nxuFwER4e0HSuh+4djFp9moH9IunZ\nvQ1DR8Vw6FQaA3q2w2DQMnBYRwYO68iLr97BW5/v59jZDI6dzWB4/yhm3dOfvJRSitNLqK01YzPZ\nqAryoup8DipZRmiwIuvUCCa7QqkWFbvx4weugNWOIAhEd2rBO0t/QSNBTGw4xXVGqixm1GYJQYJV\na47jsDqYNbMfVosD0eZCW2Xm/S/uo12UshtuFxHCh09NxeCp48wpRSoIWcZRa8HYqLCl1DZ4bepw\njp1K4/zlfNKyKpk8vTfff34fdy//iXdOn2b1ucu8On0EQ7vf+PE+ckYhLaQWVHAtpZid51OweoJa\nBG2NjFewJ3WNVr7beY7hIzrRvUsrdu5PxqVXfjjVWhWYJPSCorLeNeTWsj/NfbwJNXhTZmzArnaR\nY60Dl4ihXMQzRINgF3Ehs/X69VsGpYhO4egMGpwOF06bjMVs49tXN/Pwshm4XBLrPtxLSW4FjQ02\nfIO8eGr5LIZM6cVHz/4MVCDLssJsLKhq6ik5qupAlslMVKwkTA0WFox6j/rqRsbd0x9PXw8m3TeI\nwOZ+XL+UT9sOIXi7nYs//GURmVcK0Bu0TI95gebuPqOoEpFcEmOm9uS5B9YgO10YnIqj8P1PjQOV\nyPBJ3bh/4ic4JRm1RoXL7sRlcyJ76cnOr2z6zhtXHeekmzQh+umw60UESSYntYhnZn+Fr58nT7w5\nBW9fD754axeSSnD3iFzs2nGJ/PxqJkzsxs8Hn+Xo4eu0CPMntIXCHpw4oRtFOVX06tuOugYLZQU1\nzJrbn6eXbMJisXP3tHLGj+/Kc0u34OOlZ8W7M/H0+OuklNu4gdtB6T8c1ZUNbFx7GoCt6xOUnok7\nFWnZIZTCGhPH3t2DqFMpZnUSeHhqCQ7xYd0Pj+BwuAj9HW03OiqU5W/eMKIL6xDEUJ8Ypo7vzk8r\nD7J7/RnufmwEU+4fRM/OrThwIoWIVkH4+Rj4/PUdXD6ait6gxV5vRgRkowXJzxO1yYbklFA5rOB0\noffUETugPUWFNZQW1oBaQJIk1q2Kp7BY0W984LHhtGwdyBtLtuAwqJC1Kux2F6t+OEleWhkvLL0T\nL289wc19mwISwOkj13nrqZ/x9NLx5bYniI0IIeNaEcPHdaF3XFteem4CNquDCaO7kJKmlMf8fA3u\nfz2okWygEqiwmHj5272c/upJABrMVlqG+5OSUYavXeCJx3/E4KEirIMXtUYTGNQQ7IG9yoXVrswH\nde3SCnw0qCwuQsP8qChRMkFBBp0sotWo2HcxjTbNAohu2azpO/h7GNj+4D2MeXc19aITVCA6QWOC\nyqQGImP8MVmdzIi9tcp7h+5teO6L+3nrvq9BrUYQBC4fU6Shjmw9zyb3JkV2OBB0WswNVnoNi+HS\ngSQQBLx8DVRll5CnE+k6NBqn1UFqYhYuh5O4QYqahM1sp6HODMC+n8+CLHN4SyL+LQLIKaghtFUg\na/Y8jSAIRMaGExkbzlsPfYel0Uru1UKW/7qY0JaBuFwydbVmtvyUAC4XVpPipVRTVsvZU1kc2nFR\nUSRXiegNGkzVjQoxQ4DKshsiMZ16tGbv5vO0aB3IS5/MwuRw8OIBQMm9AAAgAElEQVSCH5AKTKS4\nPa06dmvFjIeH0nNge86fzMDL3wOXh4bDR1I4fCSFjh1Dqag0YvDU0smtCgEQv/8adWVGEuPTqZec\nSJJM0rXCpr6TS5L4+LMDlFUYKaswcvDodaZMvGEdcht/HbeD0n84/AI86dE7guvJBQwapjRzP1j7\nIBdPZ3H8VAaZWcociq9Wg7HGRHirQD5+cwdDx3Rm0Iibm78fvL+H+PhUHlswgomTupNaUM6XuxQ2\nlbdWy9nvT2Iz2djwxWHiBnVg7JAY6q+XYDXbQaKJLgxNcRHRbEdwyQwe05mTe6/QIjyAwqxyrCYb\nMx8awqFdyRQXVGML9QFBoF4E2T0VGdM5jK3rE8DhAs8bj6osyeRnKSWmMVPi/nRNCrKVnX5jg5VH\n53/Lw0+N4Y2eM1GplPJKm2BfmoX5IYoC3bq0Yu+hq5SX1TPh7pUEtwtAXw82DxmVHbpE3gh2H24+\nTlJVFZogLY40k0KOqLQQioZOQyM5cS2XYlMDI/u1JyI8kEazTZEmAtR2GNo5gm1nryEDDg+QgkXu\n+2wT13LL0apV7H99PoE+N5S/PbQatCoVWqMTpx5Ubt87m8PFK736M75j1D99Nk7tVOj8giwT2NyP\nJ1fMAyDQzUqTZRlRJSAD546m0DoiCGzKkK7FfS8LMsuY8ewkRk7uTtaVAooyyxh0p+K/FBDiy2tr\nHuLMgasc2HgWgLqqRuqqGsFTT21VI5JLaqKMA0x9eDiVJbV0GxhFh86tWPnyVqwWO4vfnkagj57q\nCjue/p4MmdCVk4dSqK1qvGEV4XTRc3g042f2ISe7nKrKRkbf0R2Hw8kv6xLw8fNg48kXMXjq0LoV\nTObMGsi+zYnYLQ6cDhftYsNZ/eURxszsw6srZ6PVaZg45B1lRk4QKCyqYdkbvwIwfVpPLiXkENuj\nFYlnswCot9kQPbW4rE5ahgfy2Sf3kJVdwfCh0azbmMDla4UgCKw5cJ6OncKIbntD3/A2/hpuB6X/\ncKhUIu99enO9vDi3ks1fH6W0qhHZU0eHTmHMnT+YhjoTv246x6kjKVw6m82gETE47E4uns4kMqYF\nBw8qWmOHD19n4qTutAj0pXmANzVFdSR8cAR7gx00ahqNVj56YTN3PzSUH95TLLr9g7x59KVJdO4V\nQfNwf95euBZjnRm1Xotap2bWwhG88NEs8tJL+fGjfeTmVvLMvO+IaB/SREcGiO4Uxrk6MzHRLXjh\nsR/BaEUF2P00IAGyQKhWQ8GlAt59agOvfDqHvPwqtv5ygYED2tO3dzvunNOf1KtFJJ7KwFRh5u2P\nd+FTZkOjUTNuShy/fn+SgGbefHfgOcrKlczFYXPhtLnIuVKKHKxCXyvz6F0DmDe5T9Pa/LyUbMpD\nr0HSKVbbokmmWagvRfUNiueSKJB4JY/4s5mkZpbStUsrJoyMJaJFICvPnaNe40QMEXEaZBAlkkrL\nUCNgdzj5+pczaCL1bEhIppXOh3enjuGnx2eSUlSOUbZTZmzgVEYuV4wVPHV4L0Mi2iIhk1hSRO/Q\n8D/RxO1290CoCJ8ffxX/ZkowihvSkde+e4D81BIiu7fh7QVrCQzxJW5YJ/Z+d5RGoxWXoAIvLYKX\nB83DFN+iyC6tiOzS6qbP6D0ylu6DO2KsNZF5tZCqYqUXGNW5JQPHdL4pIAHE9IpgwdszOHvoGssW\n/cSFExngdNG1byRderUlflcSvUbG8sQ7MzAuWs+p/VfR6jUIkoTdYqfviBjOncli69rTtGnfjPlP\njmLHz4mscTvZhrcOpPPv9OtmPTqMWY8qA8eSJLHsje2cOJaKxgU/71qM3eZkzn2D2PvrRabPHYC/\n341Nwa+bLyDZneQUViNrRGRRQNapwCURExvG3TP7KtfF7T01f94gQlv68/rqA1iMJg4lpt0OSv8G\nbgel/0JsW32C8sIaRMC3mQ+1OZW8/vg6fEP9iIoOJSutlC492wDw1bu72bv5PEEhPjzw4BCOHrnO\nSDd91tdTz6+v3cfqd3axK75YOblaDZJEXVkdyx5chagWkWQ4vCuJ8A6hDJ/UjepyI2qdFq3Bhcnu\nApeD7T+d4cCmc8h2J+GRzSgtbwC1SEFeJV27tCTpWiH+ob4sfWky9fUW5t7zNU6UB9RpUKMxuUB2\n8cCikZzafIE6IOWyItGz8vNDJCUXcORoCls2L8Qlyzy59A5mTl0Bkowsy7gcLlxOSTE9BOqqTVjM\ndu6e0osLyXkkXylEdIHgq0bWCLg0kBCfRpsgfwwaNblZFYzpFYlWFrDVWtmZeglZLTL3yZHMmNab\nvYlpfPzTMZrrPTAarSDJJF7M4+zFPBweAhqrjLGVgF+2E5VNpi5Sg8MbtDYBTa2E6IQLF3NJrTcj\nVktkU81nh87w9f1TiGh2o+cnGkSSzlXQ2scXnVrN3N1bSCgppE9oOJvuuEEtB5j97ETMjVa6DIhq\nCki/oe/oLvQdrcx9rYl/icenfMaLD36PZ3AQgqkU7A5C2gTzzsaFtGj5Zy+r30OjVbP0uwf59o3t\nbF91DGSZjLOZZJzLRqsWueP+m4dJX533DUaTHTz1oFFh8NDSrV87Js3px7xFowkJV4LgqCk96Nq7\nLeNn9aXKLS7cLiaMI4+vA1kmL6OcOaM+YM6CEQiCgFanxj/ohhdUcV4V37y3h8iYFkybP5glD39P\nWloJ9lBPvFVaju+8zDdv7iCqWyu+/+XJJsLER5/MxumUWPr0z0iAt4cWSS1iarDicsve1dWabnkt\nRg2K5vi1HArL65gw8F87BN/Gn3E7KP0XICO1hB2bzzN0dCd69Ytk5JQ4Mq4U0WdYNFUVRpLPZiMA\nddWNJJ7KZPLMPjz2jGLCZmqwAopj7aAB7dn45VE+e3MHft56Bg6PQadRM3xyD07tvoyxzozL7kDQ\nqqkoN4IgoFarsKs1ZKaW8sojP7AhfglpVwqoKFFq+M1aBuCQZMwWB5Jd0SsrzCwHvRZEgcBAL5av\nf5SinAqCW/ih0aipKKtXdvkGDZ5hvlQ1mhWdPSDA24PHl97Bzg0JjJisMAbbR4aQlFxAWEQg419f\njc3h5JvHpzFtem+2/XAK71qJ6O6tiOraimn3D2T3Twl06BzeZHA4dWx3rqQUgQivLxzPc6sVEc+8\nvCreWL5L8YMyOpAOeGB1ufBAheiSFXa7RsWby3dRXdFAa50X+SW1qESBCUM7se/odeUYSUZwgXe+\nhMailPO8C5w49SLNmvmg8hWob7BSWW9CqJSR1SA4YVBU2z/d68V9+zMmsj3h3j6oRZHceiUzSa+u\nYsyaH3hj5Aj6tmoJKJnN8Ol9+eaVzRRllfP8Vw/c8vmprmygusKIrBJpaLQiiCJIEhPmDmDDR3vw\nMGiZv3QqOsM/10Pe9f1xRX5HEJrIETbLH7U4ITDEF2NWOaIooNGq+WDtQ7R2O+CGtlIC4LXzubz2\n0PcAZKaW4nC5sJgd3Pv4SBYsmcAnVgdXzudSXdmAwaDh6y0LMBi0hLS40R/d+v1Jzp9I5/yJdHwD\nPcm4UogIqBvtzFg0jGsHlbmk9KQCzI1WvN3mh926teZ6ciFOt0rJxMndmf/YCJxOF2PHfIDklHDZ\nbz0rplGreP+Jyf/0Ot3GP8ftoPRfgM/e30t6SglnT2aw7fBzDJvUnWGTuvPZO7u5vP8qapVISOtA\nympNuJzSDYou8Pgrk+kQG06XXm0x1luwun9ESouUodCcjDL0Xnq+PfIi9/R9E5fLgYwAKhUqTwNT\nHxzMpu9PI8kyXl46Vr+7k/rqRgaO7kR5YTUL35hKVNdWlJfWkbD/Co4GK4IkIZusSlBqH8LqD/Zy\n6UwWj708iejurVn+yjZEi4PYuDb0GRXNF98fw2mXGNg7ksEjYrh2IRebw4Xo7hEteGQ4kyZ0I6Oq\nmmdWK+XE1MJyHnxsFBq7jNMpcf9To9HqNJgarXTuF0mnbjfKUI46C4YCRY7HVWOlRY4Nc6MNz9b+\n2G32JgUC2f2vTq/GCrRrHcx3Pyqme7hkZK0AapGOkc154dHRtA0PIq+0mmMXsvD21VBSbcTuKSI6\nZRxeKjRmmaryBqw+AqogLTa7jL4SJL2Ah0ukX6sbjfbfIzpIYa6dKy2izKKI7BtrbTRIdpbsP8j2\nubPxNyilxjWvb8NUa+LopgSeWjkXzS2sNdpFt+ChJRM4fTiF9OvFDJo3hAn39OWZhd8jpCtEkH3r\nThIY6s8HO54h2G1D/nv8ZriHoDxXBi8ddz08nLse/rNW3wdbnyAnpZiwdiGo1Cr8Av7soPv72Z8D\n2y4o9EZBID+rHL8AT5xqNR6BXnTpEk7foR1vmosCsJht1BnNCKKALMO6b48TGOyN1e5kxgOD6RbR\nnC2X9qPz1jN7wYimgNTYYCUno4ygZj4IooAkyZw7n8ud0xsIDPJm2LBojh5NQa/XcPJcFhqtmr7d\n2tzyPt3Gv4fbQem/AB07hZGeUkJUpxY3vX5odxKoVTjVKr7ZuYistFIuJ2QxZY4yQClJishpSUEV\nA0fGEBIewMIXJpCVUca4KXFcuZDLC/PXIAgwdU4/7FYlW/HyMdBoNBPbsw0ZyfnoJCcaTz2DR0Sz\nc+s5JB8DwTo1dfnVLJ33DevOvUFIqB+vfTqXz5Zuozy/CkGjwuljoFKAjVvPozLb+XDJFr7d8xTV\nlQ2ITgnR6mDs4Gg8PLQE+nsxoJeiRP3Zsp1UlNaRl1nOmj1PA9AyPIAWLfyYP7o3jRYbd/aNRa1R\nMf/ZcTddk1cXriMlqYB+wzry4vK7aTRaGDwmluvJBYiCwKCRnWgeHsCZE+n8H/bOO76KMn3735k5\nNb2SRgmhhN57EymCNAWxoaAoCiIWFF0LrrqKBTs2FBVERKRIkS69BEhoqRBCeu/JyennzMz7xxyC\nrK67+76/fT8f98f1D0k4z5zp9/Pc93Vf1+ibe5BxuZw2LcNw2z2ERQeReqmUtqFBvPjoGgpP5hMW\nH0adx4NqFFElAZNBx4cv345OJzHjVq2f6oqt8oiFn2GzOhFdKgar5gqniOAOERE9mnp3QnQoRXm1\nyKLKjqNZPHb3P9ZRiwkIJNBgwObx0CWiBZeKqilzNLJgy3ZqZTsj49vSskMUDdUWTP5GdPp//LhP\nmz2cabOvCqumZ5bg1ksYRAFBUfE4PVQUVHP+aDZj7xz0m/GSJPLmugV8vWQbbreXx9+6k859f7vS\nA82AsMfgDs2/F2aX88mLG0joEodfaAAXzhcx9/lJLP1+Hsd+yWDr2lPNny0rrKW0qA7VF4Tad2/1\nm4AEsO3HZJKOXAKDBKpAU40Vm0fTPOzXqSVpKfk4nB5AoF33Vs3jnn5oJQW5VYyZ2APRKOH1yuQW\nVHPXrcu4d/YwunSJ48CBLIqL63h+yWYUo8i7z01lSJ+E5m3IssLufRlEhAcwsF/C3+/adfwTXA9K\n/wWYv2g802YMosXfKRN37t6S88n5dOgSi16vY8eqo+z/6TRlF8tZ9P4MjmxPZfua4yCKvDp3JVGx\nIVhNBs6fKaSuwc5NY7uiqiqqCpcvVqAadKCquJwecHtJTcoFRQFFwWl3k3YyDzkiEHQS1R4vesDl\n9KCqChmn81n8wFcA9BvVBSXYzMnTBZRVNyGY9MiCQNvEaAxGPa99OIPPlvxM5tFsHpv2MR17tmHG\nvJHNx9VrYAJ7t5yl10DtgX/y4ZVczi7n3gdH8NisYfwR6mu0lUVNZRMLZnxBYW4Vj784iYUv39r8\nmW69WtPNt5Jq1+HaQnX7NpFs+v4EsqIgiAL3Th/AkLFdWfDSj1TVNOFye/HKCqkZxRxNusSUCb1o\n3VJLSa165k7++tUusi9X4jGDThVRvSqiQUAWVQyqyIwbe/N24X4AHB7PHx5Lq8BgDt45B7vHQ055\nDfMLfwbgYkYFniYPK/NrSVrzCGn7s+gyoP01hJLfg+yV+WLxeoovVzLn5dt49oVbKC+p59Q3Bym8\nWEar9tEMGtfjd8c6bS56DOnIRzsW/eF3JO1Np6Kolkkzh2Ewaq+frSuPkJGcR0ZyHhg1s74NXx3m\n2XfvovuABNp2iiXlWDbDxnZl94YzZKUWofMzoKgqPXq1/t3vaaqzIbq8GAKNDB/bDUkQ2Lc+Gb8A\nIzGtwmiZEMnF9BJCwvzp2f9q8Kyp0ijm6anFyHaP1tYgA4JA+vliFj43gdifQpBVlQKXRodXfiVH\nBPDTtrN8+qWmHfjUYzcxZcJvXXav4x9DuEJZ/TPgip/S/v37adny91Mb13EVXo9MUX41rdtGotNL\nPDByCeWFtRj9DMQkxlCUVoQiq+hMBq0PRFXxT4yl0eIkOiKA26f3QxFFjCY93frG8/7iTVw8XaBt\n3DfrVFUVZBlRJ6EiYIoPx6KoiPU2dHVWBFFk6U+Pk3I0h/W+3piICH+qaq3IcaHoRBGvV6FbuxZ8\n+M2c5n1/btaXnD9xuVkhuu/QDiz58v7m70w+dJE1H++jc5/WbNmhqVgHBZvZuPuPX4oFOZUc359F\nnyHtefI+LUj2GZjAHbOG0nuI1iTrtLvJz6mgY9e437DHAG6d8C4Wpxs/SeLeR24k5WgOl4qraZC9\n6ASB9rHhlFdbaLI6CQ3246VFk+jrsxRvbHKwYPE6Cgpr8BoFFIOILsFEvdcFqsqDnXtRUtNISWUD\nSx6ZSMc2LX7z/b+H/Ko6bl22Gq+goveJYYSE+3Ho1bn/0niAMwczefH2jwDQmw2sSnmdkIhATu1N\nJzw6hETfMVxB0s5zlOVVU1PewNavD3HzzGE8/s6Mf7j9wpwKHhn3DqqqMuvpm7l7wVjte49cZMm8\nlQSG+lNVZQVBYOoDw+k3PJHeQ34bTF9+5keSjl5CkBUCA02s2vI4gT79uiuY1vdlHHY37brE8smm\nxwCorbRgMOnw8zey4p3dpKcWMWZKL6bOGNw87mJGCaeO5SCrKuu+PYZOLzF6Yk+KCmuZ99gYOv/K\n5nzzrnNU11qZM2MYonh1H79ceZi160+hAhERAWz6bv6/fA3+W1BSUsLo0aMB2v67fkrSK6+88p/Y\np/8IPvnkkxDgyfvuu4+goOuujv8MoiSiN0hs+PY4dquLoWO7UXC5kqqSehorGq/UonnohcmUFVSj\nKirzX5hCZFQQGb9kkHzwAnGtw7n7kdFcPFdIfUU9TocHg0HC7vJodGO9BIKAX4ARj1smPi6MCeO7\nk+Vr1FRROZdWSvLxHAJC/bn7kVGk7E5FdXkY1Cee6GATlRkl1BXW0ndkIgUFtTyz4DtCooLp1Ls1\nAlDr9hAQGcCY8T2QJBFBEPjm3V2kncrjUloJ/pGBNAVIiMFGRg3vTODvSN1cQUh4AD36tSUyKpjw\nyEDcTi/nj2ZzYNs5Eru3JK5NBM/M/oo1nx+gorSeoAAjfgEmjD4ZnW3rT3H8TAGKAB5V5VRmMRVl\n9chNHiSHDE6ZWoud4BA/bHY3LquLo/uyCAo0kdgplrmvrCOntAZZL6DqRQIDTIzp1YHc/CoMNoF5\nk4cw55bB3DGmN+E+enJNTRMN9XYqKxr5+L3duF0e2nW4VgliS1IGKSlF6OwwoGsrTHo9z00dSXxU\n2G/OwT+Cyc/Iru+O4nF7UVQYN2MoGz/dyxcvrufE7lQmPzgSa4ON5c+tJeNEDssXb+DsoSzKCqpx\nu7zUVzUS3SaC/RtO0bZLS0x+16bVPC4PO9eeQPbKjJzSh/Y+ewmX04PJ30T3ge05f/IyogDZacXs\n33oOQRTpMeDaFNj33x7DUmdDUDXae4fEaNq0uzZ4X8oopTivmnHT+tGuUwyyrBAc6o/RpOfUoYss\nf283dY12Tp/Ipe+gduRlVyAgkNAxml792lJdVk90dDCPPz+Jr74+RHFJHZIkMsiXdqyts/L8Sxs5\nf64Qq9XJwP5X9/FMehGpmSUIQI9uLRl747X9gP8bYLFYWL16NcBHjz32WMO/M/Z6+u6/HN9+eoBt\nPyZrhpk2B3EJkVrhXoWBY7vR/4ZO3Hz3IG6dPQJFURBFkYEjOnJwTRJWjwO/ABOFOZW88vDKqxv1\nyhDopwmzKip4ZaLaRJB3roDL5/JJ7H51NikEmJH0EirQ5Pay6qsjTJh9A3qXh9vmjeLozlTOHs1B\nFUVenfstXUZ1oarSQmWdNmPu1bsNam0TF3MqOZ2Sx5ChmprAqCm9SU/OI7pVGBeLalDjAmlyuEk+\nl88t4/+1dElM6zCKCqubG32vGL+VF2siqWf3pXNw9RFatY/iy8OLOZecx6dv70Q26zX1BjRdPmO4\nGbnShqgIoILolKkqa6RTx2hyMsvwKDLL3t9N/4EJXL4ii6NqhnX1XidbjmSgCiBKAr0Sr80AFBfV\nMm/eStxuL+3bRHIpu5yD53JR/HSMH3mVcuxxytpxqHDPiD6M6PHv1zLCooL5Lm0pW1ccoFWHaNok\nxmDz6dM5rU7OHcvmzN5Udn97BABjoBmXy8vIqf0pL6xh2OTeLHlwBYqi0lhn5Yl377lm+5GxoXy2\naxH11U107Xc1Zbbk0dWUFmhyRv1v7EzK4WztvhJFLD4R3aryBpYv3UlQkJnqnArNi0sBBJUlz2+g\ntKSOux+4Wn9bvOwerBYnhZcruWfkW5jMej7euICouFAUBYwGHS5ZwRxg5OjeDDavOYFfgJFvdz5F\n1rlC3n/pJ+0yKRpRBtCMKK/cK7KiMUSBn3ee55GHR6HzUconj+vJhUvlhIX68/wT19Y0r+Of43pQ\n+i/FuZO5bP0+icBQbbat00l43V6KLpbz1xUPoKoqQ8Z2v2bMFUaef6CZpWvnsW/Tacbe1g9BEBB8\nlhUAse2jaKizYnN4ABX8TeQV1CL6GVFtThJ7taFtt5ZsW32cAaO7UlZpobykvpkmfCYln0/WzCUo\n2I/pc0dxMa2E43szCAkPYNK0vuTmVFBaZUGVVYKCzPgHGPEzG+iYGIOqqlSWNTB4TFeGjevOvs1n\nyHl+A5LNTWKP1owY1IE/Ql11E8GhflRUWvhhTRI1DXYw61n00i0MGtUZgJc+nMEbz22kNqcMAaip\naERRFA7vzwS9hORVUO1eFJ2WfrOpMvpAPYJFe0kJgCirFFXU8+CDI1i54jBt4iMIDwtk8bxx/LDj\nDDqnTE5uJfYYbTUhyBptfNGSjbz57K0E+murvezLFTh9BJPQiAA85XpkP4nXP9nFwN5tCfWxxqaN\n6M6FwkrCg/0Y0jX+//q+8Q80MeOpCc2/P/TadNp0iiEjJZ9X7/8SQVUQzCbCwsz87ccncTk9dPFZ\noTttLr57Zwe15Q3EtIngvcdXk3b8Eo+/O4MeQzuy7tN9mMwGQqODWfXhXqbNHs7g0V0IiQhsDkqi\nqhLfMRpZVrhhci+m+ZTZN3+XRNL+LFAUBFlFAmSTz5Ye2Lj6OAOHdSShYzR2h5sPVx5AJ0m01Rvx\nuL143F6KcqtIP1vIu4s3AdrQOQvGNDNNPS4vxw9kUZxfgyAIKKrKlnUneWDhOPyCzIwee3US0CIy\niAH9EjiVkkdAgAnxVynGmKhgJt/ck627U0k6k8eIgX98T17HtbheU/ovRFOjnYcmfkBDvY3QFoG8\n/PFMPHY3P3y8l8594pm5cPw/HFtT2UjG2UKStp/j6I7zhLUIYs2pV0g7mcvbT62lvsbK5HuHcHD7\neawWpyYB40ttDbuxE20TIrh97ihee/Q7Th/RxFDf27CAbz87gM3mJMfXvPr8ktsYOU4Lim6Xl/Tk\nPDp2b0lgiB8N9TbuvmUZXq/MmHHdmDC5F117tUEUBd7/62b2bj3L8Ju68uI7WrNoyuGLBIX4k9iz\nFRtXHmX3ptPc9fBIxkzprXXxz19NenIe/W/swqGdqbTr0YpLDVZkWSHUZGDggHYsemlKc+2isd7G\nHaOWgqwQ18Kfm+4bgl9sCO+8twNTvYcu3VpSU2slsVscF60WCsvqiBKNNFQ0NQdexSAS2CqIWn+Z\nji3C+XThbdcIdGZlljDv2TV4/CStrmTX+p5UEdq2j0QR4c3HJ5N8voBln+1DUFUW/2Uy7723C6tO\nRS+I7F37OIY/YNT9T+K1OV9xfMe55lXlrGcmcvevgtcVWOqsVJXUERDiz+wBLwHQtksck+aM4uMX\nNwAgiBKqqhISHcwPSS/htLv57oPdVJfVc9+iCcT5xFob6qykp+TTZ2gHMs8V8tqTa4mKC8HkZyQn\nuxzZZEA2iUguL3hV+nZvxbxnJ7Bp5zk2J2k9SC/Mu4mCpDxyL5RTVlRLYq/WnDqcrV0nVSWmTQTj\np/bBL8iM16uw/IM9APTuH8+5k5oh4hOLJzNhWr/fHKvL7eXEqct0TowlqsW15YRpc5ZTXWslLjqE\ndZ/P+c3Y/3b8v9SUrq+U/gvx1ds7aazWWGbd+8bTyZe77/7dvObPuF0elr+6GYfdzYBRXeg/sjMB\nQWaemf0V5cV1hPprgUZRtNRFz8HtNTtp4HRyHs6/YxyZAo2kJeVwfEcquzecZvCYrhiMOmJbhfHF\nSxvo3CeeWx+ewitP/YDeoKPXr+oEBqOuWeQTNHqxwajD65U5tDudg5vP8tSrU7nplt5cTC8G4GJa\nSfPn+9/QqfnndV8ewmpxsvGbo3TsEsunr24h7WQuAOdPaOrWl3Mq8IZqK4w7Zw3j9jsGXHMswaH+\nzHlyLOeT88lsbOTjrcl4/EWINOIN0nPHvUMY6vvO5ORcnn/2RyyqS1siSQKyWeSJuWPZlZZNaUkF\naSWV1FrtzUHJ65XZdSATVSeCJKBzgzb1h5gWweSU1oAgsO/UJSYM7cL2zhkYjToG9mrLwrlj2bzt\nDHfcPvB/PCBdTivi7blf0bJ9FC98PVfzv/JhwZt3gKpwfPs5UFXCfyXi+2sEhQUQFBZATnpRcxNt\nfnYFjbVWJJ2IKIp4PNo9FRLmz6r3d3PjlN489OLVhtPqikZeengl5cV1uF1e+g7rwOtfzmZT0mK2\nbUjhy0/2oZoMIAl4Q4x4MSLZPFQ12Fgw5UNkr4ypYzimmK5fzVQAACAASURBVGDatQxn66l9FBVr\nq6GiSxWIqqoJqSoq5blVrPxgLxEtQ4mI8gUWQcBqc9OlRysupBazZc2J3w1KRoOOkcM7/ebvACMG\ndWDTjnP/dOV+Hb/F9aD0X4hQn1JBaHgAT7+uKX6f/CUDVBjkc6BN2pOuKTsjcGjbedp0iuGxN6bT\n6JNPabC4iO8Sx9zFtzSvIJ7/6B6O70nn0MlcXDoRwU+PqEBoTAg1tVacjfbmdNfuDcm0bRfJpdQi\nTXbmfBFT7h/OW5/fR1lpPSGhv22YvILAIDOffvMgKUk5LH9zBwJQV9OErcnBbfcOJu1sIWOn/FaB\n+ciuNIKC/VBVmHDHADasOEzaKW222zYxmulzbuDU4Wxat2/BqpVHQQCbz79p3640ThzIolu3lky5\nZzC33zeMqfcOYdL9nyI6ZASzgCoK6M365oAEkJDQgvBQfxotDoLjg+nfuy03DklkYJ+2rP8hCZ0k\nE6BKtG5xteF035ELbNubhoiA6EHTzBMEwuID+fAv05n94hqcXpmEuHBiIoP4dums5rHjb+7B+Juv\npWWXV1s4nVnIDf06EPQHJI9/hv3rT1KcU0FxTgX5mSVExIZSmF1Oz2EdCY0M4qWvH+bAhpMc+/ks\nu749QmzbSLr9g5duu64tGTCuJ8n7MwGIi4/g64MvoDfoOLz9PBXFtZw+dpkflx/k1MELvLVmLls2\nn6Fjhyg+f2ET1eUNzfYmLt9kqKHOxiofgxNVRVAEDA6ZoKhAmqprKa2vQ/JotbWWDvjqi7kc35NO\nUX41ql6HADjdXsx+BuxWF3BVlaOm0kJNpYXQqCDq6u1k51TS2tdi4XZ5/+1z+eSc0SyYfWNznek6\n/nVcZ9/9l+HQjlSO7ExlzNS+LFxyG4HBfqQczOKV2Ss4vO0sHXu0Ii6hBYIAR3ak4vHIqCo01NvZ\nszeT6BaBNNZZEbwqDbU2KkvqcDncxCfG0Lp9FINGd6W8rIHcSxVEhQdgL2/A0WBDsLvQBRhRfdIs\nMqDoJJyNdpAk2nSMYdJ9w5l73wp+Wp+MKApERgRyYNs5ImOC8fO/Vkw0KNhM524tadu+BYndWjJ6\nYg+evPlt9n1/nIEjEhl/1+DfHPszs76ktqIBtd7C2T2pNFldOF1eOnSNY8aTN9FrUHvG3NKH6goL\nacdzUFweps8eTvq5It7760+UZJVx9lgOZn8jXfpo6cIBveI5uTUVKhyYXCqt/AIQBIFOnbVGZT8/\nI7dM7ceqg2dpcLkRdCKP3nsDAI4GJ5cP5xMXGcrxU5fp0jmWlz/ewdq9Z9B7QK/X0aNvayyqG4te\nxqJ6OHE0hxq7E1lVqa60MHmUluKst9hZueUkDpeXVtGh/O3zXSz/8RiJ8VH85f0t7DySRV5xDeOG\ndv637he3V0ZRVSRRJDg8gPSkS3Tu347x9w7jkZGvs2PVETwuL71v0LYb0zaSd+Z9Q01pPXUVjYy6\n49pG2svpxSy89UNO/ZLBS1/NoXOfeIbc3JMRk3oTEGTG7G+kc+829B/ZmeRDFygvqqNjj1acSi1k\n1zdHOfzzeew+ckVoZCB3zr2R+54Yi6Xezt6tZzmfdBlBVZGcHgSLg/GjuqJWW6mttaMz6FB9iiR9\nb0hk5MSehEYE8vPGFLyqqvXTNTkx+ul55s3bad0+irsfGcWQMV3IzixFRsDS5EDViyCI6Mx6Zs65\ngfsfvar48O/g1zTx/224zr67DkDTC/v45Z+wNbmorbJw35M3ATRbNoAm3/L10p1sXHGIcdP7c9tD\nN/Dig19TWac1ApZcKEX0KoS3jqC2rJ6MY9lkHMtm+3dJfLH3GQBahfvTIdyfQaO7st/ppaKwGjk0\nAI9eh+DyIngVkBUGje1KzslccrPKKM6vwWZ1NgtZVlY08td5qyjJr+HonnTeXfP7/TTDxnSlsqiG\neUNexdpoBwFyM0upLKkjymdOaLc6+XzxBgINIk1OF15ZBVGiMr+Kdv3a4VZVXn16HW07RLHwhcm8\n85xW23jgqXHYG53s+imFX78+zL8KkB0Tohg0tCO/7ExFdSiU59fyyYd7GH9zD0y+WprBqGPSqO7s\nOpLJhBEa/be+3sZds4aS2LMlf3lxA4WldTzy+GpceXUEqCpSvyjWvjOb0BB/CqvqeXPdAc15Na9W\nczZVIT5Mm6lnZJXy1PPrcHq9yKF6vnjlbnYf02omWw+m0ayD9E+aYwHKCmt4ceZy9AYdc5bdyYIt\nuzBIEj/OvZsOPdvw1cnXALA02Ghq0oJDg6/hGDTa+JBJvUnZm86IW3+b0jq64zxVJXVUldSRm1HC\nwDHaylyWFfasO0lgiB/DJ2rsyGeW3snK93bTfUACx5JyEGQtJazqRKJiQnhz5RxiW4ejKAr3jH2H\n+horbROj6d67Dft+TMYJJP2Sia3JiYgmIh/dKpzgFkHMfFy79zeuPIJdVRFEn6Gfw0WLzrEMH9ed\nkKhgCvOrqapowBTsR1mlBVXS+u1UnUBNjZUfN6fQtX88sb850uv4T+F6UPqTo7a6iXf/uhmjQeLs\nvkxcBh1qmD/mX6k79BmRyBtr54Oq0nt4Isvf0PThThzI4nRyHrW1VgQVYsODKK9qwGg2MGhkIju+\nO968jaqyuuafVy3dgezx0lDbREO9A9WgQ/UzogKCUY/k1Yx/Si6UMXR8D3KzymiZEIlHVujcqxWW\nKguTJvWk4EwBwO8KfXo9Mg21VsKjgjh3+KIWkIDEPvGkpZXywE3v8tqK2fQZ2oFDm0+zb0MyoDED\ny/KqtdSPIJKbWgiSBAEmLA12jGZDs9tpTVkDK5fuRBUFohIiaZPQgtHjuzN8/LWsREOfCCxNYUj5\ndvyqvMTFhTYHpCtYNHs0syb258jxS6xdm8TXKw7Ttm0kb71zJ21ah1NXb8NW04TBqaWCIq002yRc\nyK8gPjgYvU2lSK3BqNcxa0A3Zj90I8UldSx8bh0etxcRMMsibePC6BodSX5RDaEGI5+8eDtnMosY\n0a89/wxnj1ykokijvO9MyqDJqV2rtzcf4vGbBvPp5iSKq+rxlthp6t2acV1b8dCiSQA01dvY+uV+\nJtw3gr+uvtoQarc6ST+ZQ0CgmVFT+3HuSDZRrcNJS7rEm/NXEZfQgiHjurP8ZY1mPfv5KdwxfzRb\nv0ti709n2PvTGT7atABbdRMZZwpQ9RKdB7UjN6OEZS9sYNK9Q1BkRVMGv1iBtd7Oq1/P5tmZK7C5\nPAgmHaJHQZEVEru3ZOFbtzf3le3bnwU6jVgh2N3gZ8Lp9vLGoh84cjQbLC6QFZQAI6JJj4wWvFRB\nABRq62xs336eTp2uh6X/X7gelP6EUFWVkvwaolqGcnBXGmdP5oKqEmDU4fQpEDh9vRVX0HvYVSLB\nQ89PYsvKYwRFBnJoV7pmg6qo9B3Wkf7PTiC2bSRvPvadNvOWRGLiI5v1ziqLa1G8MsgKtcV1qDoJ\nzCZ0AngVFVXvewEAxblVLP54Fj2GtCcyOpi33t9F6oVSkBW+eXsHz75zJ5u+S2LSndcSDTxuL3eO\nfBOb1YXZrCfQq6VkwmNCuOuZybw6/zvwbb/P0A507peAf5AZQRQoz7/SB4QWmLxeVFkBj46J0/oR\n3yGKj9bNo7q8EUkU+HlNEoIKz79+GykHMnn70VX8MjyRJb8ihWw+kYHD4yWqUyhzpndn2t8RI67g\nlSVbuHCxHLNJh8dP5FJVLU6nl1Ur5rD/6AVefXMbklFCkFWsorYq+OloOq+t/QVUMDaoSCK8/vgk\nRvTWaNZfrTuOQ5TRyQqCCnF6M6XF9eSlakKp69clY6u1E2Q0gG/MH2HYzT1J2pOO3qjjkVtvoHS7\nhxNZhRw5nUvy+QI8jW4EQcSvTkvD+rWOINAXPL95dRO7Vh9Fp5dY+NkDRLUKp9uAdrw041OyTmkm\neF0HtuPZZTM5c+QCy/+6CXQ6aqubcNhcPgVxWLl0O536tCG6lbbS9Q80IXu8LH5/BulnCyjMr2bS\n9P48NuVDqssbqCyt592Vc3j18TWU5NVQU2Fh6XMbtcZtNCKdaNQjOz2kJecytctziEYdC/42nQHD\nO7Jzeyp6SbNYUXUiZdkVlOVWowo+BXdA8sp079eRs6fz0UQJFVq2CsMuK7isLlZ/d4x7Zgxptre4\njv8crgelPyG+WLqTLWuSSOgYzV+W3snm70/iF2Bk/qLxJB/PobLWyqTfcWS9gt0bT3P+dAF3P3Ij\niT1aUl1aT31FI9tXH+fI5hQ+2bGI/qO7kHehDHQ6yssaWf3BHlontKBtYrTWs3RlY6qKIAh4nV7t\nJaHXEZgQgbWgjsY6O5+/vo1jJ3ORdCJtemosQMGr0DKhBZ9/9AunT+VyKiWf26f1wU8v0n9MN2pr\nbdjsbq0w7fAQHKjZXHTo1YZBo7ty55zh5KUVMewmrW+kdcdobr5vBPkXyjizPwOu9FTptP2hwYKg\nyOSlav5L3761nTNHLtJnVFcQBRI6x5DYsxXfvLkNQNNg+xXm3TyIjUnpzB7dj4n9/3HNxmwyIOsE\nGgwqgu+FeTI1n1Mf7+V8WjHt2kZSGmDAP8CEIcTI4Hvfx20CDNrLWtYr+Jd42PXz+eagdDajGEEV\n0Esiqt3LyBs7ExBganaHUCXYtfU8OlnF0mDn2Zdu+cN7JyQikDfWPALAGw98QeH+dAyT2qGqYDxW\nTEh+A/b2YSSM7oqjxsmF7DJKyuppGRtKhE8d3Ohn4J2n1iKKIst+XkiJzwUYIPNULg/d8DqDx/fQ\nJgY+ivxNdw4kN6u0WSfu3ae+p1W7KOa/NJnlL//EU1M/QudvBkFgyTcPEhzqz5Bx3di66hhDbupG\nq7aRBAeZKFFVEARqqzTrlOAQP6bOHMqqD/eCJFJfZQFJQpb0fPTKFl7+5B4m39afyoIqXn9iLXjR\nWJKCb0Wkk0BRePmjezh1rojqOitBZiNjx3ZjwvS+LHt7J5uPZEJyDlanm/kPjWo+VlVV+fzz/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atHtdtLoQPQpN9XYtQLq9WKoaSdqbQf8bOnHbPYOpLG+gXcdoWrYK45O/beXpmV8yeFw32rWP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Vz5ef28+x7XurrQsXPk777WyZ8LZ1Fy8g85feAmV06mAPDiikfw/TtTJd2GtmPMYwMwNBgZ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\nxF2fQb8Qb9y9XJn19CA8PTWc2HOd9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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fix, ax = scdata.plot_tsne(color=scdata.magic.data['ZEB1'], title='tSNE projection (color = MAGIC ZEB1)')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.0" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/Magic_single_cell_RNAseq.ipynb b/notebooks/Magic_single_cell_RNAseq.ipynb index dec3d524..10afb195 100644 --- a/notebooks/Magic_single_cell_RNAseq.ipynb +++ b/notebooks/Magic_single_cell_RNAseq.ipynb @@ -97,7 +97,7 @@ "source": [ "# Load single-cell RNA-seq data\n", "scdata = magic.mg.SCData.from_csv(os.path.expanduser('~/Documents/Sophomore/Lab/wishbone/data/sdata_nn_TGFb_day_8_10.csv'),\n", - " data_type='sc-seq')\n" + " data_type='sc-seq', normalize=False)\n" ] }, { @@ -131,7 +131,8 @@ "diffusion_eigenvalues=None\n", "diffusion_eigenvectors=None\n", "diffusion_map_correlations=None\n", - "library_sizes=True\n", + "extended_data=True\n", + "library_sizes=None\n", "magic=None\n", "metadata=True\n", "normalized=True\n", @@ -197,15 +198,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "3.625\n", - "3.625\n" + "3.23095955575\n", + "4.40377233181\n" ] }, { "data": { - "image/png": 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neJVMojPbqK+9ZJJNhb6Pu/8xfFwf/q7J8hwAmNmxBF8GfuXuo8K0wcBUoDfw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\n9W4rfb4zTux7ISKm5M8d2f57pacDsUK4A3uLNgK+qo5hGuV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/FLgjJyUrczU1NZx/9RNcetPLXPlfMwtdHClBF110EWPHjuXZZ5+lrq6Ol156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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -227,21 +228,21 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "CELL_MIN = 0\n", - "CELL_MAX = 0\n", + "CELL_MAX = 1000000\n", "GENE_NONZERO = None\n", "GENE_MOLECULES = None" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": { "collapsed": false, "scrolled": false @@ -252,40 +253,6 @@ " filter_gene_nonzero=GENE_NONZERO, filter_gene_mols=GENE_MOLECULES)" ] }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "SCData: 7523 cells x 28909 genes\n", - "\n", - "cluster_assignments=None\n", - "data_type=True\n", - "diffusion_eigenvalues=None\n", - "diffusion_eigenvectors=None\n", - "diffusion_map_correlations=None\n", - "library_sizes=True\n", - "magic=None\n", - "metadata=True\n", - "normalized=True\n", - "pca=None\n", - "tsne=None" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scdata" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -295,7 +262,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "collapsed": false }, @@ -328,7 +295,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "When running MAGIC, a number of parameters can be specified -- including whether to use a gaussian or tsne kernel. Here, we run MAGIC using the default parameters." + "When running MAGIC, a number of parameters can be specified." ] }, { @@ -351,18 +318,8 @@ ], "source": [ "# MAGIC\n", - "scdata.run_magic()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "scdata.run_tsne()" + "scdata.run_magic(kernel='gaussian', n_pca_components=20, random_pca=True, t=6, knn=30, knn_autotune=10, epsilon=1, \n", + " rescale_percent=99, k_knn=100, perplexity=30)" ] }, { @@ -376,7 +333,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2D scatter plot before MAGIC" + "

2D scatter plot before MAGIC:

" ] }, { @@ -405,7 +362,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2D scatter plot after MAGIC" + "

2D scatter plot after MAGIC:

" ] }, { @@ -434,7 +391,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "3D scatter plot before MAGIC" + "

3D scatter plot before MAGIC

" ] }, { @@ -463,7 +420,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "3D scatter plot after MAGIC" + "

3D scatter plot after MAGIC

" ] }, { @@ -492,7 +449,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "tSNE map colored by ZEB1 expression (before MAGIC)" + "

tSNE map colored by ZEB1 expression (before MAGIC):

" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "scdata.run_tsne()" ] }, { @@ -514,14 +482,14 @@ } ], "source": [ - "fig, ax = scdata.plot_tsne(color=scdata.data['ZEB1'], title='tSNE projection (color = ZEB1)')" + "fig, ax = scdata.plot_gene_expression(color=['ZEB1'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "tSNE map colored by ZEB1 expression (after MAGIC)" + "

tSNE map colored by ZEB1 expression (after MAGIC):

" ] }, { diff --git a/src/magic/mg.py b/src/magic/mg.py index 0fec9407..b4dfd66a 100644 --- a/src/magic/mg.py +++ b/src/magic/mg.py @@ -416,6 +416,7 @@ def plot_molecules_per_cell_and_gene(self, fig=None, ax=None): n, bins, patches = ax.hist(colsum, bins='auto') plt.xlabel('Molecules per gene (log10 scale)') plt.ylabel('Frequency') + plt.tight_layout() ax.tick_params(axis='x', labelsize=8) return fig, ax @@ -509,6 +510,7 @@ def plot_tsne(self, fig=None, ax=None, density=False, color=None, title='tSNE pr else: plt.scatter(self.tsne['x'], self.tsne['y'], s=size, edgecolors='none', color=qualitative_colors(2)[1] if color == None else color) + plt.tight_layout() ax.set_title(title) return fig, ax @@ -534,6 +536,7 @@ def plot_tsne_by_cell_sizes(self, fig=None, ax=None, vmin=None, vmax=None): sizes = self.data.sum(axis=1) plt.scatter(self.tsne['x'], self.tsne['y'], s=size, c=sizes, edgecolors='none') plt.colorbar() + plt.tight_layout() return fig, ax def run_phenograph(self, n_pca_components=15, **kwargs): @@ -929,8 +932,8 @@ def plot_gene_expression(self, genes, other_data=None): ax.set_title(g) ax.set_xlabel('tsne_x') ax.set_ylabel('tsne_y') - # gs.tight_layout(fig) - + + plt.tight_layout() return fig, axes @@ -1003,7 +1006,8 @@ def scatter_gene_expression(self, genes, density=False, color=None, fig=None, ax ax.set_ylabel(genes[1]) ax.set_zlabel(genes[2]) ax.view_init(25,-135) - + + plt.tight_layout() return fig, ax From f90d808b84b4d58c8d9289206702abf58f6fe128 Mon Sep 17 00:00:00 2001 From: Pooja Kathail Date: Fri, 3 Mar 2017 10:35:41 -0500 Subject: [PATCH 04/21] remove data dir from setup.py --- setup.py | 7 ------- 1 file changed, 7 deletions(-) diff --git a/setup.py b/setup.py index 432b943e..faa0e377 100644 --- a/setup.py +++ b/setup.py @@ -36,10 +36,3 @@ # get location of setup.py setup_dir = os.path.dirname(os.path.realpath(__file__)) - -# Copy test data -data_dir = os.path.expanduser('~/.magic/data') -if os.path.isdir(data_dir): - shutil.rmtree(data_dir) -shutil.copytree(setup_dir + '/data/', data_dir) - From 7aafd6fa9a355b6600419962fa868ccfe3edd352 Mon Sep 17 00:00:00 2001 From: Pooja Kathail Date: Wed, 8 Mar 2017 01:12:54 -0500 Subject: [PATCH 05/21] minor gui modifications --- src/magic/MAGIC.py | 19 +++----- src/magic/magic_gui.py | 99 +++++++++++++++++++----------------------- src/magic/mg.py | 14 +++--- 3 files changed, 59 insertions(+), 73 deletions(-) diff --git a/src/magic/MAGIC.py b/src/magic/MAGIC.py index bb7afb67..d9667f6e 100644 --- a/src/magic/MAGIC.py +++ b/src/magic/MAGIC.py @@ -7,25 +7,17 @@ from scipy.spatial.distance import squareform from sklearn.neighbors import NearestNeighbors -def magic(data, kernel='gaussian', n_pca_components=20, random_pca=True, - t=6, knn=30, knn_autotune=10, epsilon=1, rescale=99, k_knn=100, perplexity=30): +def magic(data, n_pca_components=20, random_pca=True, + t=6, knn=30, knn_autotune=10, epsilon=1, rescale=99): - if kernel not in ['gaussian']: - raise RuntimeError('Invalid kernel type. Must be "gaussian".') - - #library size normalization - #create data_norm - - #always pass in data_norm if n_pca_components != None: pca_projected_data = run_pca(data, n_components=n_pca_components, random=random_pca) else: pca_projected_data = data - if kernel == 'gaussian': - #run diffusion maps to get markov matrix - L = compute_markov(pca_projected_data, knn=knn, epsilon=epsilon, - distance_metric='euclidean', knn_autotune=knn_autotune) + #run diffusion maps to get markov matrix + L = compute_markov(pca_projected_data, knn=knn, epsilon=epsilon, + distance_metric='euclidean', knn_autotune=knn_autotune) #remove tsne kernel for now # else: @@ -37,7 +29,6 @@ def magic(data, kernel='gaussian', n_pca_components=20, random_pca=True, # P = _joint_probabilities(distances, perplexity, 1) # P = squareform(P) - ## QUESTION -- should this happen for gaussian kernel too?? # #markov normalize P # L = np.divide(P, np.sum(P, axis=1)) diff --git a/src/magic/magic_gui.py b/src/magic/magic_gui.py index 5898957e..3c3c9c67 100755 --- a/src/magic/magic_gui.py +++ b/src/magic/magic_gui.py @@ -58,7 +58,7 @@ def initialize(self): #intro screen tk.Label(self, text=u"MAGIC", font=('Helvetica', 48), fg="black", bg="white", padx=100, pady=20).grid(row=0) - tk.Label(self, text=u"Markov Affinity-Based Graph Imputation of Cells", font=('Helvetica', 25), fg="black", bg="white", padx=100, pady=40).grid(row=1) + tk.Label(self, text=u"Markov Affinity-based Graph Imputation of Cells", font=('Helvetica', 25), fg="black", bg="white", padx=100, pady=40).grid(row=1) tk.Label(self, text=u"To get started, select a data file by clicking File > Load Data", fg="black", bg="white", padx=100, pady=25).grid(row=2) #update @@ -136,7 +136,7 @@ def loadCSV(self): self.pseudocount = tk.IntVar() self.pseudocount.set(0.1) - tk.Label(self.fileInfo, text=u"Pseudocount", fg="black",bg="white").grid(column=1, row=11) + tk.Label(self.fileInfo, text=u"Pseudocount (for log-transform)", fg="black",bg="white").grid(column=1, row=11) tk.Entry(self.fileInfo, textvariable=self.pseudocount).grid(column=2, row=11) tk.Button(self.fileInfo, text="Cancel", command=self.fileInfo.destroy).grid(column=1, row=12) @@ -191,7 +191,7 @@ def loadMTX(self): self.pseudocount = tk.IntVar() self.pseudocount.set(0.1) - tk.Label(self.fileInfo, text=u"Pseudocount", fg="black",bg="white").grid(column=0, row=9) + tk.Label(self.fileInfo, text=u"Pseudocount (for log-transform)", fg="black",bg="white").grid(column=0, row=9) tk.Entry(self.fileInfo, textvariable=self.pseudocount).grid(column=1, row=9) tk.Button(self.fileInfo, text="Cancel", command=self.fileInfo.destroy).grid(column=1, row=10) @@ -436,7 +436,7 @@ def runPCA(self): self.randomVar = tk.BooleanVar() self.randomVar.set(True) - tk.Checkbutton(self.pcaOptions, text=u"Randomized PCA", variable=self.randomVar).grid(column=0, row=2, columnspan=2) + tk.Checkbutton(self.pcaOptions, text=u"Randomized PCA (faster)", variable=self.randomVar).grid(column=0, row=2, columnspan=2) tk.Button(self.pcaOptions, text="Run", command=self._runPCA).grid(column=1, row=4) tk.Button(self.pcaOptions, text="Cancel", command=self.pcaOptions.destroy).grid(column=0, row=4) @@ -512,32 +512,41 @@ def runDM(self): self.nCompVar.set(10) tk.Entry(self.DMOptions, textvariable=self.nCompVar).grid(column=1,row=0) - tk.Label(self.DMOptions,text=u"kNN:" ,fg="black",bg="white").grid(column=0, row=1) + tk.Label(self.DMOptions,text=u"Number of PCA components:" ,fg="black",bg="white").grid(column=0, row=1) + self.nCompVar = tk.IntVar() + self.nCompVar.set(20) + tk.Entry(self.DMOptions, textvariable=self.nPCAVar).grid(column=1,row=1) + + self.randomPCAVar = tk.BooleanVar() + self.randomPCAVar.set(True) + tk.Checkbutton(self.DMOptions, text=u"Randomized PCA (faster)", variable=self.randomPCAVar).grid(column=0, row=2, columnspan=2) + + tk.Label(self.DMOptions,text=u"kNN:" ,fg="black",bg="white").grid(column=0, row=3) self.kNNVar = tk.IntVar() self.kNNVar.set(30) - tk.Entry(self.DMOptions, textvariable=self.kNNVar).grid(column=1,row=1) + tk.Entry(self.DMOptions, textvariable=self.kNNVar).grid(column=1,row=3) - tk.Label(self.DMOptions,text=u"kNN-autotune:" ,fg="black",bg="white").grid(column=0, row=2) + tk.Label(self.DMOptions,text=u"kNN-autotune:" ,fg="black",bg="white").grid(column=0, row=4) self.autotuneVar = tk.IntVar() self.autotuneVar.set(10) - tk.Entry(self.DMOptions, textvariable=self.autotuneVar).grid(column=1,row=2) + tk.Entry(self.DMOptions, textvariable=self.autotuneVar).grid(column=1,row=4) - tk.Label(self.DMOptions,text=u"Epsilon:" ,fg="black",bg="white").grid(column=0, row=3) + tk.Label(self.DMOptions,text=u"Epsilon:" ,fg="black",bg="white").grid(column=0, row=5) self.epsilonVar = tk.IntVar() self.epsilonVar.set(1) - tk.Entry(self.DMOptions, textvariable=self.epsilonVar).grid(column=1,row=3) + tk.Entry(self.DMOptions, textvariable=self.epsilonVar).grid(column=1,row=5) - tk.Label(self.DMOptions, text=u"(Epsilon 0 is the uniform kernel)",fg="black",bg="white").grid(column=0,columnspan=2,row=4) + tk.Label(self.DMOptions, text=u"(Epsilon 0 is the uniform kernel)",fg="black",bg="white").grid(column=0,columnspan=2,row=6) - tk.Button(self.DMOptions, text="Run", command=self._runDM).grid(column=1, row=5) - tk.Button(self.DMOptions, text="Cancel", command=self.DMOptions.destroy).grid(column=0, row=5) + tk.Button(self.DMOptions, text="Run", command=self._runDM).grid(column=1, row=7) + tk.Button(self.DMOptions, text="Cancel", command=self.DMOptions.destroy).grid(column=0, row=7) self.wait_window(self.DMOptions) def _runDM(self): for key in self.data_list.selection(): name = self.data_list.item(key)['text'].split(' (')[0] - self.data[name]['scdata'].run_diffusion_map(n_diffusion_components=self.nCompVar.get(), epsilon=self.epsilonVar.get(), - knn=self.kNNVar.get(), knn_autotune=self.autotuneVar.get()) + self.data[name]['scdata'].run_diffusion_map(n_diffusion_components=self.nCompVar.get(), epsilon=self.epsilonVar.get(), n_pca_components=self.nPCAVar.get(), + knn=self.kNNVar.get(), knn_autotune=self.autotuneVar.get(), random_pca=self.randomPCAVar.get()) self.data_list.insert(key, 'end', text=name + ' Diffusion components' + ' (' + str(self.data[name]['scdata'].diffusion_eigenvectors.shape[0]) + ' x ' + str(self.data[name]['scdata'].diffusion_eigenvectors.shape[1]) + ')', open=True) @@ -550,14 +559,6 @@ def runMagic(self): self.magicOptions.title(self.data_list.item(key)['text'].split(' (')[0] + ": MAGIC options") self.curKey = key - #only allow gaussian kernel for now - # tk.Label(self.magicOptions, text=u"Kernel type:", fg="black",bg="white").grid(column=0, row=0) - # self.kernelType = tk.StringVar() - # self.kernelType.set('gaussian') - # kernel_types = ['gaussian', 'tsne'] - # self.kernel_menu = tk.OptionMenu(self.magicOptions, self.kernelType, *kernel_types) - # self.kernel_menu.grid(row=0, column=1) - tk.Label(self.magicOptions,text=u"# of PCA components:" ,fg="black",bg="white").grid(column=0, row=1) self.nCompVar = tk.IntVar() self.nCompVar.set(20) @@ -571,9 +572,6 @@ def runMagic(self): self.tVar = tk.IntVar() self.tVar.set(6) tk.Entry(self.magicOptions, textvariable=self.tVar).grid(column=1,row=3) - - #only allow gaussian kernel for now - # tk.Label(self.magicOptions, text=u"Gaussian kernel only:", fg="black", bg="white").grid(column=0, row=3, columnspan=2) tk.Label(self.magicOptions,text=u"kNN:" ,fg="black",bg="white").grid(column=0, row=4) self.kNNVar = tk.IntVar() @@ -591,18 +589,6 @@ def runMagic(self): tk.Entry(self.magicOptions, textvariable=self.epsilonVar).grid(column=1,row=6) tk.Label(self.magicOptions, text=u"(Epsilon 0 is the uniform kernel)",fg="black",bg="white").grid(column=0,columnspan=2,row=7) - #only allow gaussian kernel for now - # tk.Label(self.magicOptions, text=u"tSNE kernel only:", fg='black', bg='white').grid(column=0, row=7, columnspan=2) - - # tk.Label(self.magicOptions,text=u"Perplexity:" ,fg="black",bg="white").grid(column=0, row=8) - # self.perplexityVar = tk.IntVar() - # self.perplexityVar.set(30) - # tk.Entry(self.magicOptions, textvariable=self.perplexityVar).grid(column=1,row=8) - - # tk.Label(self.magicOptions,text=u"k_kNN:" ,fg="black",bg="white").grid(column=0, row=9) - # self.k_kNNVar = tk.IntVar() - # self.k_kNNVar.set(100) - # tk.Entry(self.magicOptions, textvariable=self.k_kNNVar).grid(column=1,row=9) self.rescaleVar = tk.IntVar() self.rescaleVar.set(99) @@ -619,8 +605,7 @@ def _runMagic(self): self.data[name]['scdata'].run_magic(n_pca_components=self.nCompVar.get() if self.nCompVar.get() > 0 else None, t=self.tVar.get(), knn=self.kNNVar.get(), epsilon=self.epsilonVar.get(), rescale_percent=self.rescaleVar.get(), knn_autotune=self.autotuneVar.get(), - # perplexity=self.perplexityVar.get(), k_knn=self.k_kNNVar.get(), - kernel='gaussian', random_pca=self.randomVar.get()) + random_pca=self.randomVar.get()) self.data[name + ' MAGIC'] = {'scdata' : self.data[name]['scdata'].magic, 'wb' : None, 'state' : tk.BooleanVar(), 'genes' : self.data[name]['scdata'].magic.data.columns.values, 'gates' : {}} @@ -810,42 +795,48 @@ def getScatterSelection(self, plot_type=''): self.scatterSelection = tk.Toplevel() self.scatterSelection.title("Scatter plot options") + tk.Label(self.scatterSelection, text="For plotting axes, specify a single gene, diffusion component(DC#),"+ + " or PCA component(PC#) or a comma separated list (number of items in"+ + " each list must be equal). The z-axis is optional").grid(row=0, column=0, rowspan=2, columnspan=2) + tk.Label(self.scatterSelection, text="A plot can be colored by a gene, diffusion component(DC#),"+ + " PCA component(PC#), or \"density\" for kernel density. " + + "The color can also be a solid color(eg: \"blue\").").grid(row=2, column=0, rowspan=2, columnspan=2) #plot name - tk.Label(self.scatterSelection, text=u"Plot name:").grid(row=0, column=0) + tk.Label(self.scatterSelection, text=u"Plot name:").grid(row=4, column=0) self.plotNameVar = tk.StringVar() self.plotNameVar.set('Plot ' + str(len(self.tabs))) - tk.Entry(self.scatterSelection, textvariable=self.plotNameVar).grid(row=0, column=1) + tk.Entry(self.scatterSelection, textvariable=self.plotNameVar).grid(row=4, column=1) #x if plot_type == 'tsne': - tk.Label(self.scatterSelection, text=u"x: tSNE1", fg="black",bg="white").grid(row=1, column=0) + tk.Label(self.scatterSelection, text=u"x: tSNE1", fg="black",bg="white").grid(row=5, column=0) else: - tk.Label(self.scatterSelection, text=u"x:", fg="black",bg="white").grid(row=1, column=0) + tk.Label(self.scatterSelection, text=u"x:", fg="black",bg="white").grid(row=5, column=0) self.xVar = tk.StringVar() - tk.Entry(self.scatterSelection, textvariable=self.xVar).grid(column=1,row=1) + tk.Entry(self.scatterSelection, textvariable=self.xVar).grid(column=1,row=5) #y if plot_type == 'tsne': - tk.Label(self.scatterSelection, text=u"y: tSNE2", fg="black",bg="white").grid(row=2, column=0) + tk.Label(self.scatterSelection, text=u"y: tSNE2", fg="black",bg="white").grid(row=6, column=0) else: - tk.Label(self.scatterSelection, text=u"y:", fg="black",bg="white").grid(row=2, column=0) + tk.Label(self.scatterSelection, text=u"y:", fg="black",bg="white").grid(row=6, column=0) self.yVar = tk.StringVar() - tk.Entry(self.scatterSelection, textvariable=self.yVar).grid(column=1,row=2) + tk.Entry(self.scatterSelection, textvariable=self.yVar).grid(column=1,row=6) #z if plot_type != 'tsne': - tk.Label(self.scatterSelection, text=u"z:", fg="black",bg="white").grid(row=3, column=0) + tk.Label(self.scatterSelection, text=u"z:", fg="black",bg="white").grid(row=7, column=0) self.zVar = tk.StringVar() - tk.Entry(self.scatterSelection, textvariable=self.zVar).grid(column=1,row=3) + tk.Entry(self.scatterSelection, textvariable=self.zVar).grid(column=1,row=7) #color - tk.Label(self.scatterSelection, text=u"color (gene, diffusion component, or density):", fg="black",bg="white").grid(row=4, column=0) + tk.Label(self.scatterSelection, text=u"color:", fg="black",bg="white").grid(row=8, column=0) self.colorVar = tk.StringVar() self.colorVar.set('blue') - tk.Entry(self.scatterSelection, textvariable=self.colorVar).grid(column=1,row=4) + tk.Entry(self.scatterSelection, textvariable=self.colorVar).grid(column=1,row=8) - tk.Button(self.scatterSelection, text="Plot", command=self.scatterSelection.destroy).grid(column=1, row=5) - tk.Button(self.scatterSelection, text="Cancel", command=self._cancelScatter).grid(column=0, row=5) + tk.Button(self.scatterSelection, text="Plot", command=self.scatterSelection.destroy).grid(column=1, row=9) + tk.Button(self.scatterSelection, text="Cancel", command=self._cancelScatter).grid(column=0, row=9) self.wait_window(self.scatterSelection) def _cancelScatter(self): diff --git a/src/magic/mg.py b/src/magic/mg.py index b4dfd66a..acb4ab86 100644 --- a/src/magic/mg.py +++ b/src/magic/mg.py @@ -634,7 +634,7 @@ def select_clusters(self, clusters): def run_diffusion_map(self, knn=10, epsilon=1, distance_metric='euclidean', - n_diffusion_components=10, n_pca_components=15, markers=None, knn_autotune=0): + n_diffusion_components=10, n_pca_components=15, markers=None, knn_autotune=0, random_pca=True): """ Run diffusion maps on the data. Run on the principal component projections for single cell RNA-seq data and on the expression matrix for mass cytometry data :param knn: Number of neighbors for graph construction to determine distances between cells @@ -645,7 +645,11 @@ def run_diffusion_map(self, knn=10, epsilon=1, distance_metric='euclidean', :return: None """ - data = deepcopy(self.data) + if n_pca_components != None: + data = run_pca(self.data, n_components=n_pca_components, random=random_pca) + else: + data = self.data + N = data.shape[0] # Nearest neighbors @@ -1054,10 +1058,10 @@ def scatter_gene_expression_against_other_data(self, genes, other_data, density= return fig, axes - def run_magic(self, kernel='gaussian', n_pca_components=20, random_pca=True, t=6, knn=30, knn_autotune=10, epsilon=1, rescale_percent=99, k_knn=100, perplexity=30): + def run_magic(self, n_pca_components=20, random_pca=True, t=6, knn=30, knn_autotune=10, epsilon=1, rescale_percent=99): - new_data = magic.MAGIC.magic(self.data.values, kernel=kernel, n_pca_components=n_pca_components, random_pca=random_pca, t=t, knn=knn, - knn_autotune=knn_autotune, epsilon=epsilon, rescale=rescale_percent, k_knn=k_knn, perplexity=perplexity) + new_data = magic.MAGIC.magic(self.data.values, n_pca_components=n_pca_components, random_pca=random_pca, t=t, + knn=knn, knn_autotune=knn_autotune, epsilon=epsilon, rescale=rescale_percent) new_data = pd.DataFrame(new_data, index=self.data.index, columns=self.data.columns) From 3c152f0b0f292ff3d713ecc536c3c2f60efa2951 Mon Sep 17 00:00:00 2001 From: dvdijk Date: Wed, 8 Mar 2017 12:29:12 -0500 Subject: [PATCH 06/21] Matlab implementation of MAGIC --- README.md | 9 ++-- matlab/DiffusionGeometry_01.zip | Bin 0 -> 1186140 bytes matlab/load_10x.m | 60 +++++++++++++++++++++ matlab/run_magic.m | 91 ++++++++++++++++++++++++++++++++ matlab/test_magic.m | 84 +++++++++++++++++++++++++++++ 5 files changed, 241 insertions(+), 3 deletions(-) create mode 100644 matlab/DiffusionGeometry_01.zip create mode 100644 matlab/load_10x.m create mode 100644 matlab/run_magic.m create mode 100644 matlab/test_magic.m diff --git a/README.md b/README.md index 74b95f86..be93b04b 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,10 @@ Markov Affinity-based Graph Imputation of Cells (MAGIC) ------------------------------------------------------- +MAGIC has been implemented in Python3 and Matlab. -#### Installation and dependencies -1. MAGIC has been implemented in Python3 and can be installed using -2. +#### Installation and dependencies for the Python version +1. The Python3 version of MAGIC can be installed using $> git clone git://github.com/pkathail/magic.git $> cd magic $> sudo pip3 install . @@ -23,3 +23,6 @@ A python GUI is now available for MAGIC. After following the installation steps $> magic_gui.py +#### Installation and dependencies for the Matlab version +1. Matlab implementation of MAGIC uses Mauro Maggioni's Diffusion Geometry code. Download from here: http://www.math.jhu.edu/~mauro/Code/DiffusionGeometry_01.zip or use included DiffusionGeometry_01.zip +2. test_magic.m shows how to run MAGIC. 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