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pynb
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‎example.ipynb

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"cells": [
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"id": "0aff441f-69fa-44b4-9d2d-b4aaf42424c9",
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"metadata": {},
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"outputs": [],
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"metadata": {},
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"outputs": [],
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"source": [
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"class_table = dynasty.pkg_classes(pandas.__path__[0])"
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]
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},
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"<div>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>RNGContext</td>\n",
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" <td>-</td>\n",
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" <td>pandas._testing</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>SubclassedSeries</td>\n",
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" <td>Series</td>\n",
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" <td>pandas._testing</td>\n",
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" <th>2</th>\n",
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" <td>SubclassedDataFrame</td>\n",
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" <td>pandas._testing</td>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>SubclassedCategorical</td>\n",
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" <td>Categorical</td>\n",
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" <td>pandas._testing</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>DeepChainMap</td>\n",
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" <td>ChainMap[_KT</td>\n",
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" <td>pandas.compat.chainmap</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>_LoadSparseSeries</td>\n",
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" <td>-</td>\n",
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" <td>pandas.compat.pickle_compat</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>_LoadSparseFrame</td>\n",
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" <td>-</td>\n",
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" <td>pandas.compat.pickle_compat</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>Unpickler</td>\n",
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" <td>pkl._Unpickler</td>\n",
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" <td>pandas.compat.pickle_compat</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>CompatValidator</td>\n",
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" <td>-</td>\n",
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" <td>pandas.compat.numpy.function</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>DirNamesMixin</td>\n",
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" <td>-</td>\n",
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" <td>pandas.core.accessor</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" classname baseclass module\n",
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"0 RNGContext - pandas._testing\n",
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"1 SubclassedSeries Series pandas._testing\n",
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"2 SubclassedDataFrame DataFrame pandas._testing\n",
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"3 SubclassedCategorical Categorical pandas._testing\n",
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"4 DeepChainMap ChainMap[_KT pandas.compat.chainmap\n",
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"5 _LoadSparseSeries - pandas.compat.pickle_compat\n",
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"6 _LoadSparseFrame - pandas.compat.pickle_compat\n",
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"7 Unpickler pkl._Unpickler pandas.compat.pickle_compat\n",
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"8 CompatValidator - pandas.compat.numpy.function\n",
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"9 DirNamesMixin - pandas.core.accessor"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"class_table.head(10)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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},
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{
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"metadata": {},
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"outputs": [
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{
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"data": {
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" <tbody>\n",
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" <th>0</th>\n",
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" <td>RNGContext</td>\n",
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" <td>-</td>\n",
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" <td>pandas._testing</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>SubclassedSeries</td>\n",
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" <td>Series</td>\n",
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" <td>pandas._testing</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>SubclassedDataFrame</td>\n",
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" <td>DataFrame</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>SubclassedCategorical</td>\n",
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" <td>Categorical</td>\n",
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" <td>pandas._testing</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>DeepChainMap</td>\n",
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" <td>ChainMap[_KT</td>\n",
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" <td>pandas.compat.chainmap</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>_LoadSparseSeries</td>\n",
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" <td>-</td>\n",
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" <td>pandas.compat.pickle_compat</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>_LoadSparseFrame</td>\n",
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" <td>-</td>\n",
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" <td>pandas.compat.pickle_compat</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>Unpickler</td>\n",
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" <td>pkl._Unpickler</td>\n",
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" <td>pandas.compat.pickle_compat</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>CompatValidator</td>\n",
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" <td>-</td>\n",
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" <td>pandas.compat.numpy.function</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>DirNamesMixin</td>\n",
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" <td>-</td>\n",
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" <td>pandas.core.accessor</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" classname baseclass module\n",
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"0 RNGContext - pandas._testing\n",
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"1 SubclassedSeries Series pandas._testing\n",
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"2 SubclassedDataFrame DataFrame pandas._testing\n",
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"3 SubclassedCategorical Categorical pandas._testing\n",
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"4 DeepChainMap ChainMap[_KT pandas.compat.chainmap\n",
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"5 _LoadSparseSeries - pandas.compat.pickle_compat\n",
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"6 _LoadSparseFrame - pandas.compat.pickle_compat\n",
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"7 Unpickler pkl._Unpickler pandas.compat.pickle_compat\n",
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"8 CompatValidator - pandas.compat.numpy.function\n",
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"9 DirNamesMixin - pandas.core.accessor"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"class_table.head(10)"
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]
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},
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"execution_count": 5,
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"id": "a4a4b6a7-5ae6-4995-b723-c60cfb6ad188",
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"metadata": {},
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"outputs": [
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"source": [
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"dynasty.print_class_hierarchy(class_table)"
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]
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},
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{
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"id": "031014f7-8782-4e9a-9b91-a7fcc0fc07d9",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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