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    "# Booleanize columns of lists in you Dataset dataframes\n",
    "\n",
    "This notebooks shows how the `booleanize` and `debooleanize` methods can be used for easy attributes/tags filtering\n",
    "\n",
    "Booleanization is the action of converting columns of list to a list of boolean columns. Each boolean column tells whether the element is present in the original list or not.\n",
    "\n",
    "What's more, it shows how the widget works to be able to choose between showing boolean values or list values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "\n",
    "%autoreload 2\n",
    "import warnings\n",
    "\n",
    "import lours\n",
    "from lours.dataset import from_caipy\n",
    "from lours.utils.testing import assert_dataset_equal\n",
    "\n",
    "warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Booleanization example\n",
    "\n",
    "### Note on widget interface\n",
    "\n",
    "You can see by selecting the \"Annotations\" tab that you can chose to show the dataframes as booleanized or not, and with nested columns or not.\n",
    "\n",
    "Don't forget that under the hood, the columns are booleanized and not nested, here, it's just for readability of the widget.\n",
    "\n",
    "## Automatic booleanization\n",
    "\n",
    "By default, when using `from_caipy` with `use_schema` set to `True`, it booleanizes the dataset.\n",
    "\n",
    "See more info about advanced parsing with caipy and schemas in the related tutorial : [Demo schemas](6_demo_schemas.ipynb)"
   ]
  },
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   "source": [
    "from_caipy(\n",
    "    \"../../test_lours/test_data/caipy_dataset/tags/small_tagged_dataset/\",\n",
    "    use_schema=True,\n",
    "    booleanize=True,\n",
    ")"
   ]
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   "source": [
    "Also, note that by default, columns are shown as they appear on the dataframe, i.e. raw columns with boolean value, but the default display option can be changed in the `lours.utils` module."
   ]
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    "lours.utils.DISPLAY_NESTED_COLUMNS = True\n",
    "lours.utils.DISPLAY_UNBOOLEANIZED = True\n",
    "from_caipy(\n",
    "    \"../../test_lours/test_data/caipy_dataset/tags/small_tagged_dataset/\",\n",
    "    use_schema=True,\n",
    "    booleanize=True,\n",
    ")"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Manual Booleanization\n",
    "\n",
    "If you select `booleanize=False` when loading with `from_caipy`, you will keep the item column.\n",
    "To booleanize it manually, you can call the method `.booleanize` Make sure that the column names you give to that method are only composed of iterables in each cell (be it set or list)"
   ]
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   "source": [
    "dataset = from_caipy(\n",
    "    \"../../test_lours/test_data/caipy_dataset/tags/small_tagged_dataset/\",\n",
    "    json_schema=\"default\",\n",
    "    booleanize=False,\n",
    ")"
   ]
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    "dataset"
   ]
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   "cell_type": "code",
   "execution_count": 6,
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   "source": [
    "booleanized = dataset.booleanize(\"attributes.colors\")\n",
    "booleanized"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working with booleanized data\n",
    "\n",
    "See how simpler it is to filter annotations based on attributes.colors :\n",
    "\n",
    "In this example, we  are interested into keeping annotations that have \"red\" in their \"colors\"\n",
    "\n",
    "With a regular dataset, you will need to call the very inefficient `.apply` method."
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
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   "source": [
    "dataset.loc_annot[dataset.annotations[\"attributes.colors\"].apply(lambda x: \"red\" in x)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With a booleanized dataset, you can directly call the `.loc_annot` method with the `attributes.colors.red` column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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    "booleanized.loc_annot[booleanized.annotations[\"attributes.colors.red\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Debooleanization\n",
    "\n",
    "Although the booleanized columns are dropped in favor of the boolean ones, we keep track of them in a special attribute `Dataset.booleanized_columns`\n",
    "\n",
    "As such, we can use the `debooleanize` method to get back to the original dataset. Note that this method has to be used for several io methods :\n",
    " - `to_caipy`\n",
    " - `to_caipy_generic`\n",
    " - `to_coco`\n",
    " - `to_fiftyone`"
   ]
  },
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   "source": [
    "debool = booleanized.debooleanize()\n",
    "assert_dataset_equal(debool, dataset)\n",
    "debool"
   ]
  }
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colspan=\"19\">attributes</th>\n    </tr>\n    <tr>\n      <th class=\"blank level1\" >&nbsp;</th>\n      <th id=\"T_f6be6_level1_col0\" class=\"col_heading level1 col0\" ></th>\n      <th id=\"T_f6be6_level1_col1\" class=\"col_heading level1 col1\" ></th>\n      <th id=\"T_f6be6_level1_col2\" class=\"col_heading level1 col2\" ></th>\n      <th id=\"T_f6be6_level1_col3\" class=\"col_heading level1 col3\" ></th>\n      <th id=\"T_f6be6_level1_col4\" class=\"col_heading level1 col4\" ></th>\n      <th id=\"T_f6be6_level1_col5\" class=\"col_heading level1 col5\" ></th>\n      <th id=\"T_f6be6_level1_col6\" class=\"col_heading level1 col6\" ></th>\n      <th id=\"T_f6be6_level1_col7\" class=\"col_heading level1 col7\" ></th>\n      <th id=\"T_f6be6_level1_col8\" class=\"col_heading level1 col8\" >occluded</th>\n      <th id=\"T_f6be6_level1_col9\" class=\"col_heading level1 col9\" colspan=\"13\">colors</th>\n      <th id=\"T_f6be6_level1_col22\" class=\"col_heading level1 col22\" colspan=\"5\">position</th>\n    </tr>\n    <tr>\n      <th class=\"blank level2\" >&nbsp;</th>\n      <th id=\"T_f6be6_level2_col0\" class=\"col_heading level2 col0\" ></th>\n      <th id=\"T_f6be6_level2_col1\" class=\"col_heading level2 col1\" ></th>\n      <th id=\"T_f6be6_level2_col2\" class=\"col_heading level2 col2\" ></th>\n      <th id=\"T_f6be6_level2_col3\" class=\"col_heading level2 col3\" ></th>\n      <th id=\"T_f6be6_level2_col4\" class=\"col_heading level2 col4\" ></th>\n      <th id=\"T_f6be6_level2_col5\" class=\"col_heading level2 col5\" ></th>\n      <th id=\"T_f6be6_level2_col6\" class=\"col_heading level2 col6\" ></th>\n      <th id=\"T_f6be6_level2_col7\" class=\"col_heading level2 col7\" ></th>\n      <th id=\"T_f6be6_level2_col8\" class=\"col_heading level2 col8\" ></th>\n      <th id=\"T_f6be6_level2_col9\" class=\"col_heading level2 col9\" >beige</th>\n      <th id=\"T_f6be6_level2_col10\" class=\"col_heading level2 col10\" >black</th>\n      <th id=\"T_f6be6_level2_col11\" class=\"col_heading level2 col11\" >blue</th>\n      <th id=\"T_f6be6_level2_col12\" class=\"col_heading level2 col12\" >brown</th>\n      <th id=\"T_f6be6_level2_col13\" class=\"col_heading level2 col13\" >cyan</th>\n      <th id=\"T_f6be6_level2_col14\" class=\"col_heading level2 col14\" >green</th>\n      <th id=\"T_f6be6_level2_col15\" class=\"col_heading level2 col15\" >grey</th>\n      <th id=\"T_f6be6_level2_col16\" class=\"col_heading level2 col16\" >orange</th>\n      <th id=\"T_f6be6_level2_col17\" class=\"col_heading level2 col17\" >pink</th>\n      <th id=\"T_f6be6_level2_col18\" class=\"col_heading level2 col18\" >purple</th>\n      <th id=\"T_f6be6_level2_col19\" class=\"col_heading level2 col19\" >red</th>\n      <th id=\"T_f6be6_level2_col20\" class=\"col_heading level2 col20\" >white</th>\n      <th id=\"T_f6be6_level2_col21\" class=\"col_heading level2 col21\" >yellow</th>\n      <th id=\"T_f6be6_level2_col22\" class=\"col_heading level2 col22\" >back</th>\n      <th id=\"T_f6be6_level2_col23\" class=\"col_heading level2 col23\" >front</th>\n      <th id=\"T_f6be6_level2_col24\" class=\"col_heading level2 col24\" >side</th>\n      <th id=\"T_f6be6_level2_col25\" class=\"col_heading level2 col25\" >top</th>\n      <th id=\"T_f6be6_level2_col26\" class=\"col_heading level2 col26\" >unknown</th>\n    </tr>\n    <tr>\n      <th class=\"index_name level0\" >id</th>\n      <th class=\"blank col0\" >&nbsp;</th>\n      <th class=\"blank col1\" >&nbsp;</th>\n      <th class=\"blank col2\" >&nbsp;</th>\n      <th class=\"blank col3\" >&nbsp;</th>\n      <th class=\"blank col4\" >&nbsp;</th>\n      <th class=\"blank col5\" >&nbsp;</th>\n      <th class=\"blank col6\" >&nbsp;</th>\n      <th class=\"blank col7\" >&nbsp;</th>\n      <th class=\"blank col8\" >&nbsp;</th>\n      <th class=\"blank col9\" >&nbsp;</th>\n      <th class=\"blank col10\" >&nbsp;</th>\n      <th class=\"blank col11\" >&nbsp;</th>\n      <th class=\"blank col12\" >&nbsp;</th>\n      <th class=\"blank col13\" >&nbsp;</th>\n      <th class=\"blank col14\" >&nbsp;</th>\n      <th class=\"blank col15\" >&nbsp;</th>\n      <th class=\"blank col16\" >&nbsp;</th>\n      <th class=\"blank col17\" >&nbsp;</th>\n      <th class=\"blank col18\" >&nbsp;</th>\n      <th class=\"blank col19\" >&nbsp;</th>\n      <th class=\"blank col20\" >&nbsp;</th>\n      <th class=\"blank col21\" >&nbsp;</th>\n      <th class=\"blank col22\" >&nbsp;</th>\n      <th class=\"blank col23\" >&nbsp;</th>\n      <th class=\"blank col24\" >&nbsp;</th>\n      <th class=\"blank col25\" >&nbsp;</th>\n      <th class=\"blank col26\" >&nbsp;</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_f6be6_level0_row0\" class=\"row_heading level0 row0\" >269791</th>\n      <td id=\"T_f6be6_row0_col0\" class=\"data row0 col0\" >6091</td>\n      <td id=\"T_f6be6_row0_col1\" class=\"data row0 col1\" >stop sign</td>\n      <td id=\"T_f6be6_row0_col2\" class=\"data row0 col2\" >13</td>\n      <td id=\"T_f6be6_row0_col3\" class=\"data row0 col3\" >100.220000</td>\n      <td id=\"T_f6be6_row0_col4\" class=\"data row0 col4\" >117.540000</td>\n      <td id=\"T_f6be6_row0_col5\" class=\"data row0 col5\" >253.430000</td>\n      <td id=\"T_f6be6_row0_col6\" class=\"data row0 col6\" >274.900000</td>\n      <td id=\"T_f6be6_row0_col7\" class=\"data row0 col7\" >46726.430300</td>\n      <td id=\"T_f6be6_row0_col8\" class=\"data row0 col8\" >True</td>\n      <td id=\"T_f6be6_row0_col9\" class=\"data row0 col9\" >False</td>\n      <td id=\"T_f6be6_row0_col10\" class=\"data row0 col10\" >False</td>\n      <td id=\"T_f6be6_row0_col11\" class=\"data row0 col11\" >False</td>\n      <td id=\"T_f6be6_row0_col12\" class=\"data row0 col12\" >False</td>\n      <td id=\"T_f6be6_row0_col13\" class=\"data row0 col13\" >False</td>\n      <td id=\"T_f6be6_row0_col14\" class=\"data row0 col14\" >False</td>\n      <td id=\"T_f6be6_row0_col15\" class=\"data row0 col15\" >False</td>\n      <td id=\"T_f6be6_row0_col16\" class=\"data row0 col16\" >False</td>\n      <td id=\"T_f6be6_row0_col17\" class=\"data row0 col17\" >False</td>\n      <td id=\"T_f6be6_row0_col18\" class=\"data row0 col18\" >False</td>\n      <td id=\"T_f6be6_row0_col19\" class=\"data row0 col19\" >True</td>\n      <td id=\"T_f6be6_row0_col20\" class=\"data row0 col20\" >True</td>\n      <td id=\"T_f6be6_row0_col21\" class=\"data row0 col21\" >False</td>\n      <td id=\"T_f6be6_row0_col22\" class=\"data row0 col22\" >False</td>\n      <td id=\"T_f6be6_row0_col23\" class=\"data row0 col23\" >False</td>\n      <td id=\"T_f6be6_row0_col24\" class=\"data row0 col24\" >False</td>\n      <td id=\"T_f6be6_row0_col25\" class=\"data row0 col25\" >False</td>\n      <td id=\"T_f6be6_row0_col26\" class=\"data row0 col26\" >False</td>\n    </tr>\n    <tr>\n      <th id=\"T_f6be6_level0_row1\" class=\"row_heading level0 row1\" >1161234</th>\n      <td id=\"T_f6be6_row1_col0\" class=\"data row1 col0\" >10395</td>\n      <td id=\"T_f6be6_row1_col1\" class=\"data row1 col1\" >teddy bear</td>\n      <td id=\"T_f6be6_row1_col2\" class=\"data row1 col2\" >88</td>\n      <td id=\"T_f6be6_row1_col3\" class=\"data row1 col3\" >49.190000</td>\n      <td id=\"T_f6be6_row1_col4\" class=\"data row1 col4\" >66.200000</td>\n      <td id=\"T_f6be6_row1_col5\" class=\"data row1 col5\" >378.970000</td>\n      <td id=\"T_f6be6_row1_col6\" class=\"data row1 col6\" >379.680000</td>\n      <td id=\"T_f6be6_row1_col7\" class=\"data row1 col7\" >84587.439100</td>\n      <td id=\"T_f6be6_row1_col8\" class=\"data row1 col8\" >None</td>\n      <td id=\"T_f6be6_row1_col9\" class=\"data row1 col9\" >False</td>\n      <td id=\"T_f6be6_row1_col10\" class=\"data row1 col10\" >False</td>\n      <td id=\"T_f6be6_row1_col11\" class=\"data row1 col11\" >False</td>\n      <td id=\"T_f6be6_row1_col12\" class=\"data row1 col12\" >False</td>\n      <td id=\"T_f6be6_row1_col13\" class=\"data row1 col13\" >False</td>\n      <td id=\"T_f6be6_row1_col14\" class=\"data row1 col14\" >False</td>\n      <td id=\"T_f6be6_row1_col15\" class=\"data row1 col15\" >True</td>\n      <td id=\"T_f6be6_row1_col16\" class=\"data row1 col16\" >False</td>\n      <td id=\"T_f6be6_row1_col17\" class=\"data row1 col17\" >False</td>\n      <td id=\"T_f6be6_row1_col18\" class=\"data row1 col18\" >False</td>\n      <td id=\"T_f6be6_row1_col19\" class=\"data row1 col19\" >False</td>\n      <td id=\"T_f6be6_row1_col20\" class=\"data row1 col20\" >False</td>\n      <td id=\"T_f6be6_row1_col21\" class=\"data row1 col21\" >False</td>\n      <td id=\"T_f6be6_row1_col22\" class=\"data row1 col22\" >False</td>\n      <td id=\"T_f6be6_row1_col23\" class=\"data row1 col23\" >True</td>\n      <td id=\"T_f6be6_row1_col24\" class=\"data row1 col24\" >False</td>\n      <td id=\"T_f6be6_row1_col25\" class=\"data row1 col25\" >False</td>\n      <td id=\"T_f6be6_row1_col26\" class=\"data row1 col26\" >False</td>\n    </tr>\n  </tbody>\n</table>\n",
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id=\"T_c9d0d_level2_col11\" class=\"col_heading level2 col11\" >blue</th>\n      <th id=\"T_c9d0d_level2_col12\" class=\"col_heading level2 col12\" >brown</th>\n      <th id=\"T_c9d0d_level2_col13\" class=\"col_heading level2 col13\" >cyan</th>\n      <th id=\"T_c9d0d_level2_col14\" class=\"col_heading level2 col14\" >green</th>\n      <th id=\"T_c9d0d_level2_col15\" class=\"col_heading level2 col15\" >grey</th>\n      <th id=\"T_c9d0d_level2_col16\" class=\"col_heading level2 col16\" >orange</th>\n      <th id=\"T_c9d0d_level2_col17\" class=\"col_heading level2 col17\" >pink</th>\n      <th id=\"T_c9d0d_level2_col18\" class=\"col_heading level2 col18\" >purple</th>\n      <th id=\"T_c9d0d_level2_col19\" class=\"col_heading level2 col19\" >red</th>\n      <th id=\"T_c9d0d_level2_col20\" class=\"col_heading level2 col20\" >white</th>\n      <th id=\"T_c9d0d_level2_col21\" class=\"col_heading level2 col21\" >yellow</th>\n      <th id=\"T_c9d0d_level2_col22\" class=\"col_heading level2 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>False</td>\n      <td id=\"T_c9d0d_row0_col16\" class=\"data row0 col16\" >False</td>\n      <td id=\"T_c9d0d_row0_col17\" class=\"data row0 col17\" >False</td>\n      <td id=\"T_c9d0d_row0_col18\" class=\"data row0 col18\" >False</td>\n      <td id=\"T_c9d0d_row0_col19\" class=\"data row0 col19\" >True</td>\n      <td id=\"T_c9d0d_row0_col20\" class=\"data row0 col20\" >True</td>\n      <td id=\"T_c9d0d_row0_col21\" class=\"data row0 col21\" >False</td>\n      <td id=\"T_c9d0d_row0_col22\" class=\"data row0 col22\" >False</td>\n      <td id=\"T_c9d0d_row0_col23\" class=\"data row0 col23\" >False</td>\n      <td id=\"T_c9d0d_row0_col24\" class=\"data row0 col24\" >False</td>\n      <td id=\"T_c9d0d_row0_col25\" class=\"data row0 col25\" >False</td>\n      <td id=\"T_c9d0d_row0_col26\" class=\"data row0 col26\" >False</td>\n    </tr>\n    <tr>\n      <th id=\"T_c9d0d_level0_row1\" class=\"row_heading level0 row1\" >1161234</th>\n      <td id=\"T_c9d0d_row1_col0\" class=\"data row1 col0\" >10395</td>\n      <td id=\"T_c9d0d_row1_col1\" class=\"data row1 col1\" >teddy bear</td>\n      <td id=\"T_c9d0d_row1_col2\" class=\"data row1 col2\" >88</td>\n      <td id=\"T_c9d0d_row1_col3\" class=\"data row1 col3\" >49.190000</td>\n      <td id=\"T_c9d0d_row1_col4\" class=\"data row1 col4\" >66.200000</td>\n      <td id=\"T_c9d0d_row1_col5\" class=\"data row1 col5\" >378.970000</td>\n      <td id=\"T_c9d0d_row1_col6\" class=\"data row1 col6\" >379.680000</td>\n      <td id=\"T_c9d0d_row1_col7\" class=\"data row1 col7\" >84587.439100</td>\n      <td id=\"T_c9d0d_row1_col8\" class=\"data row1 col8\" >None</td>\n      <td id=\"T_c9d0d_row1_col9\" class=\"data row1 col9\" >False</td>\n      <td id=\"T_c9d0d_row1_col10\" class=\"data row1 col10\" >False</td>\n      <td id=\"T_c9d0d_row1_col11\" class=\"data row1 col11\" >False</td>\n      <td id=\"T_c9d0d_row1_col12\" class=\"data row1 col12\" >False</td>\n      <td id=\"T_c9d0d_row1_col13\" class=\"data row1 col13\" >False</td>\n      <td id=\"T_c9d0d_row1_col14\" class=\"data row1 col14\" >False</td>\n      <td id=\"T_c9d0d_row1_col15\" class=\"data row1 col15\" >True</td>\n      <td id=\"T_c9d0d_row1_col16\" class=\"data row1 col16\" >False</td>\n      <td id=\"T_c9d0d_row1_col17\" class=\"data row1 col17\" >False</td>\n      <td id=\"T_c9d0d_row1_col18\" class=\"data row1 col18\" >False</td>\n      <td id=\"T_c9d0d_row1_col19\" class=\"data row1 col19\" >False</td>\n      <td id=\"T_c9d0d_row1_col20\" class=\"data row1 col20\" >False</td>\n      <td id=\"T_c9d0d_row1_col21\" class=\"data row1 col21\" >False</td>\n      <td id=\"T_c9d0d_row1_col22\" class=\"data row1 col22\" >False</td>\n      <td id=\"T_c9d0d_row1_col23\" class=\"data row1 col23\" >True</td>\n      <td id=\"T_c9d0d_row1_col24\" class=\"data row1 col24\" >False</td>\n      <td id=\"T_c9d0d_row1_col25\" class=\"data row1 col25\" >False</td>\n      <td id=\"T_c9d0d_row1_col26\" class=\"data row1 col26\" >False</td>\n    </tr>\n  </tbody>\n</table>\n",
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