Exersice 01 almost ready (again)
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@ -559,14 +559,15 @@
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"text": [
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"['Node', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'tabStr']\n"
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"['Node', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'tabStr']\n",
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"('\\nOutput file:', 'ru_text.txt.TAGGED')\n"
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@ -589,7 +590,7 @@
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 18,
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"cell_type": "code",
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"execution_count": 19,
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@ -630,18 +631,56 @@
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"cell_type": "code",
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"execution_count": 20,
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'P2.1': 0.7079014288483687, 'P2.2': 0.8899716702179293}\n"
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]
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}
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],
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"source": [
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"source": [
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"pprint.pprint(performances2)"
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"pprint.pprint(performances2)"
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]
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]
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"execution_count": 21,
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "aeb29243e58d49b8942122ceec03fab5",
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"version_major": 2,
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"version_minor": 0
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},
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"text/html": [
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"<p>Failed to display Jupyter Widget of type <code>FigureCanvasNbAgg</code>.</p>\n",
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"<p>\n",
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" If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
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" that the widgets JavaScript is still loading. If this message persists, it\n",
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" likely means that the widgets JavaScript library is either not installed or\n",
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" not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
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" Widgets Documentation</a> for setup instructions.\n",
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"</p>\n",
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"<p>\n",
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" If you're reading this message in another frontend (for example, a static\n",
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" rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
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" it may mean that your frontend doesn't currently support widgets.\n",
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"</p>\n"
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],
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"text/plain": [
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"FigureCanvasNbAgg()"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"source": [
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"fig_2, ax_2 = plt.subplots()\n",
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"fig_2, ax_2 = plt.subplots()\n",
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"plt.bar(np.arange(len(performances2)), performances2.values())\n",
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"plt.bar(np.arange(len(performances2)), performances2.values())\n",
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