Update dependencies to fix safety check failures (#2142)

* Update dependencies Update dependencies causing safety check to fail * Remove nb_black from jupyter notebooks Because of the build issue on M1 macs, nb_black was removed as a dev dependency. This change removes the lines referencing nb_black (%load_ext lab_black) from all jupyter notebooks.
usds · Feb 2, 2023 · a27ca46 · a27ca46
1 parent 7d1d14e
commit a27ca46
Show file tree

Hide file tree

Showing 13 changed files with 1,681 additions and 724 deletions.
diff --git a/data/data-pipeline/data_pipeline/comparison_tool/src/tract_comparison__template.ipynb b/data/data-pipeline/data_pipeline/comparison_tool/src/tract_comparison__template.ipynb
@@ -18,8 +18,7 @@
     "from data_pipeline.score import field_names\n",
     "from data_pipeline.comparison_tool.src import utils\n",
     "\n",
-    "pd.options.display.float_format = \"{:,.3f}\".format\n",
-    "%load_ext lab_black"
+    "pd.options.display.float_format = \"{:,.3f}\".format"
    ]
   },
   {
@@ -433,7 +432,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/content/config/scratch.ipynb b/data/data-pipeline/data_pipeline/content/config/scratch.ipynb
@@ -8,9 +8,7 @@
    "outputs": [],
    "source": [
     "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "%load_ext lab_black"
+    "import numpy as np"
    ]
   },
   {
@@ -792,7 +790,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/aggregate_burden_exploration.ipynb b/data/data-pipeline/data_pipeline/ipython/aggregate_burden_exploration.ipynb
@@ -9,9 +9,7 @@
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
-    "import pathlib\n",
-    "\n",
-    "%load_ext lab_black"
+    "import pathlib"
    ]
   },
   {
@@ -1230,7 +1228,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/agricultural_loss_indicator.ipynb b/data/data-pipeline/data_pipeline/ipython/agricultural_loss_indicator.ipynb
@@ -14,9 +14,7 @@
     "from pathlib import Path\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "sys.path.append(\"../../data_pipeline/\")\n",
-    "\n",
-    "%load_ext lab_black"
+    "sys.path.append(\"../../data_pipeline/\")"
    ]
   },
   {
@@ -998,7 +996,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/check_tribal_count.ipynb b/data/data-pipeline/data_pipeline/ipython/check_tribal_count.ipynb
@@ -39,16 +39,6 @@
     "import geopandas as gpd"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "039d244f-6c97-4b1b-af04-6f879cd2cd86",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%load_ext lab_black"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 4,
@@ -169,7 +159,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/compare_tiles_and_geoJson_files.ipynb b/data/data-pipeline/data_pipeline/ipython/compare_tiles_and_geoJson_files.ipynb
@@ -7,7 +7,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %load_ext lab_black\n",
     "import json\n",
     "import pandas as pd\n",
     "import geopandas as gpd"
@@ -332,7 +331,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.8.10 ('data-pipeline-WziHKidv-py3.8')",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -346,7 +345,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.9"
   },
   "vscode": {
    "interpreter": {

diff --git a/data/data-pipeline/data_pipeline/ipython/explore_adjacency.ipynb b/data/data-pipeline/data_pipeline/ipython/explore_adjacency.ipynb
@@ -24,18 +24,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "f36fe7ef-2717-48be-ae94-a3f0aa33acc1",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "%load_ext lab_black"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -710,7 +698,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/explore_eamlis.ipynb b/data/data-pipeline/data_pipeline/ipython/explore_eamlis.ipynb
@@ -24,18 +24,6 @@
     "from data_pipeline.utils import unzip_file_from_url"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "f36fe7ef-2717-48be-ae94-a3f0aa33acc1",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "%load_ext lab_black"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "dbecd665-1c8a-40fe-a7fc-684ecf73f991",
@@ -2436,7 +2424,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/generate_fuds_test_data.ipynb b/data/data-pipeline/data_pipeline/ipython/generate_fuds_test_data.ipynb
@@ -41,16 +41,6 @@
     "from data_pipeline.etl.sources.us_army_fuds.etl import USArmyFUDS"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "598dfe82-04b9-4e9c-a74b-a18c9db6688c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%load_ext lab_black"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "53b68b92-e575-4404-b79d-7dceb302f588",
@@ -1490,7 +1480,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/geojson_compare_tiles.ipynb b/data/data-pipeline/data_pipeline/ipython/geojson_compare_tiles.ipynb
@@ -7,7 +7,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %load_ext lab_black\n",
     "import json\n",
     "import pandas as pd\n",
     "import geopandas as gpd\n",
@@ -499,7 +498,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

diff --git a/data/data-pipeline/data_pipeline/ipython/scoring_comparison.ipynb b/data/data-pipeline/data_pipeline/ipython/scoring_comparison.ipynb
@@ -43,7 +43,6 @@
     "\n",
     "from data_pipeline.score import field_names\n",
     "\n",
-    "%load_ext lab_black\n",
     "# Turn on TQDM for pandas so that we can have progress bars when running `apply`.\n",
     "tqdm_notebook.pandas()"
    ]
@@ -4203,7 +4202,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,