From 7d789b43783b714a99647ecdd662c6a46eb76e28 Mon Sep 17 00:00:00 2001
From: Junho Choi <junhoc@uchicago.edu>
Date: Mon, 11 Apr 2022 22:09:02 +0000
Subject: [PATCH] cleared non-essential outputs; removed reference to older
 paths; isort+black

---
 .../create-SLIIDERS-ECON.ipynb                | 448 ++----------------
 .../download-sliiders-econ-input-data.ipynb   |  21 +-
 2 files changed, 47 insertions(+), 422 deletions(-)

diff --git a/notebooks/create-SLIIDERS-ECON/create-SLIIDERS-ECON.ipynb b/notebooks/create-SLIIDERS-ECON/create-SLIIDERS-ECON.ipynb
index a2af991..ce775d6 100644
--- a/notebooks/create-SLIIDERS-ECON/create-SLIIDERS-ECON.ipynb
+++ b/notebooks/create-SLIIDERS-ECON/create-SLIIDERS-ECON.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,18 +35,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask_gateway/client.py:21: FutureWarning: format_bytes is deprecated and will be removed in a future release. Please use dask.utils.format_bytes instead.\n",
-      "  from distributed.utils import LoopRunner, format_bytes\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from collections import OrderedDict\n",
     "\n",
@@ -81,22 +72,6 @@
     "from sliiders.spatial import coastlen_poly, get_great_circle_nearest_index"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pathlib import Path\n",
-    "\n",
-    "PATH_COUNTRY_LEVEL_EXPOSURE_PROJ = Path(\n",
-    "    \"/gcs/rhg-data/impactlab-rhg/coastal/sliiders/int/exposure/ypk/archive/old_version/gdp_gdppc_pop_capital_proj_2010_2100.parquet\"\n",
-    ")\n",
-    "PATH_COUNTRY_LEVEL_EXPOSURE = Path(\n",
-    "    \"/gcs/rhg-data/impactlab-rhg/coastal/sliiders/int/exposure/ypk/archive/old_version/gdp_gdppc_pop_capital_1950_2020.parquet\"\n",
-    ")"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -113,24 +88,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3065940ee08a4549b19bfe60151cb6e9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value='<h2>GatewayCluster</h2>'), HBox(children=(HTML(value='\\n<div>\\n<style scoped>\\n    …"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "gateway = Gateway()\n",
     "cluster = gateway.new_cluster(\n",
@@ -153,7 +113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -184,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "tags": [
      "parameters"
@@ -215,7 +175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -235,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -260,7 +220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -296,7 +256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -366,7 +326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -396,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -468,7 +428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -487,7 +447,7 @@
   },
   {
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-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
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    "source": [
@@ -535,7 +495,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
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    "source": [
@@ -572,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -598,7 +558,7 @@
   },
   {
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-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {
     "tags": []
    },
@@ -627,7 +587,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -698,7 +658,7 @@
   },
   {
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-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
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    "source": [
@@ -719,7 +679,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -741,7 +701,7 @@
   },
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+   "execution_count": null,
    "metadata": {
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@@ -762,7 +722,7 @@
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@@ -792,7 +752,7 @@
   },
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-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
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@@ -832,7 +792,7 @@
   },
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+   "execution_count": null,
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@@ -865,7 +825,7 @@
   },
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    "cell_type": "code",
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+   "execution_count": null,
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@@ -892,7 +852,7 @@
   },
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-   "execution_count": 27,
+   "execution_count": null,
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@@ -908,7 +868,7 @@
   },
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    "cell_type": "code",
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+   "execution_count": null,
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@@ -951,7 +911,7 @@
   },
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-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
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@@ -1006,7 +966,7 @@
   },
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@@ -1030,7 +990,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
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@@ -1049,7 +1009,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
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@@ -1072,7 +1032,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
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@@ -1102,7 +1062,7 @@
   },
   {
    "cell_type": "code",
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+   "execution_count": null,
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    "source": [
@@ -1114,7 +1074,7 @@
   },
   {
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+   "execution_count": null,
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@@ -1125,7 +1085,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3529,48 +3489,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/conventions.py:205: SerializationWarning: variable None has data in the form of a dask array with dtype=object, which means it is being loaded into memory to determine a data type that can be safely stored on disk. To avoid this, coerce this variable to a fixed-size dtype with astype() before saving it.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<xarray.backends.zarr.ZarrStore at 0x7fcc44082200>"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "out[to_keep].to_zarr(PATH_SLIIDERS_ECON, mode=\"w\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(None, None)"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "cluster.close(), client.close()"
    ]
@@ -3596,303 +3526,7 @@
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-       "value": "<p><b>Dashboard: </b><a href=\"/services/dask-gateway/clusters/daskhub-dev.25312134f681414cb0e17138f5abdc29/status\" target=\"_blank\">/services/dask-gateway/clusters/daskhub-dev.25312134f681414cb0e17138f5abdc29/status</a></p>\n"
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-       "value": "\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table style=\"text-align: right;\">\n    <tr><th>Workers</th> <td>120</td></tr>\n    <tr><th>Cores</th> <td>120</td></tr>\n    <tr><th>Memory</th> <td>780.00 GiB</td></tr>\n</table>\n</div>\n"
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-     "d5c065cab6fa4896a799405955891e9c": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.2.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "d8be0c0a34a24773a3274783ab3c0ce9": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.2.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "d95b66a3b65447a9bc26941f640fb90f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.2.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "dbce31e163d848ad8d7f805e7dc24f95": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.2.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "dd2ab61c5f064d7e8040cebcf6b64d84": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.2.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "e41545dbe83344ebb620afc28c2f6b81": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "1.5.0",
-      "model_name": "HBoxModel",
-      "state": {
-       "children": [
-        "IPY_MODEL_c037fd0f59574a6086be229aee9ac51a",
-        "IPY_MODEL_203fe7bed06347be93b1a474ecdefa8e"
-       ],
-       "layout": "IPY_MODEL_d95b66a3b65447a9bc26941f640fb90f"
-      }
-     },
-     "fc9c5e7767ea411dbc3b93c352692d8b": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "1.5.0",
-      "model_name": "IntTextModel",
-      "state": {
-       "description": "Maximum",
-       "layout": "IPY_MODEL_4da70bf3adba4d06aec5e115d7d1000e",
-       "step": 1,
-       "style": "IPY_MODEL_a4f30213b3d44c85930fb3873aa6e851"
-      }
-     },
-     "fe12eb8a64b6407da8e2f6c86f2d9b34": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.2.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "min_width": "500px"
-      }
-     }
-    },
+    "state": {},
     "version_major": 2,
     "version_minor": 0
    }
diff --git a/notebooks/create-SLIIDERS-ECON/download-sliiders-econ-input-data.ipynb b/notebooks/create-SLIIDERS-ECON/download-sliiders-econ-input-data.ipynb
index 7a8c4e7..f33d2eb 100644
--- a/notebooks/create-SLIIDERS-ECON/download-sliiders-econ-input-data.ipynb
+++ b/notebooks/create-SLIIDERS-ECON/download-sliiders-econ-input-data.ipynb
@@ -16,19 +16,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "517784ca-badd-41fe-a88c-7b4370260e5c",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask_gateway/client.py:21: FutureWarning: format_bytes is deprecated and will be removed in a future release. Please use dask.utils.format_bytes instead.\n",
-      "  from distributed.utils import LoopRunner, format_bytes\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import os\n",
     "import ssl\n",
@@ -52,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "19fc306c-cfca-44dd-9044-0d8c6bf1d2c3",
    "metadata": {},
    "outputs": [],
@@ -533,7 +524,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "9cb05b93-c8cc-4f9e-9e99-ce5b7d511d16",
    "metadata": {},
    "outputs": [],
@@ -587,12 +578,12 @@
    "outputs": [],
    "source": [
     "URL_GADM = \"https://biogeo.ucdavis.edu/data/gadm3.6/gadm36_levels_gpkg.zip\"\n",
-    "PATH_GADM_ZIP = sset.DIR_GADM / URL_GADM.split('/')[-1]\n",
+    "PATH_GADM_ZIP = sset.DIR_GADM / URL_GADM.split(\"/\")[-1]\n",
     "urequest.urlretrieve(URL_GADM, PATH_GADM_ZIP)\n",
     "\n",
     "sset.PATH_GADM.parent.mkdir(exist_ok=True)\n",
     "\n",
-    "with zipfile.ZipFile(PATH_GADM_ZIP, mode='r') as z:\n",
+    "with zipfile.ZipFile(PATH_GADM_ZIP, mode=\"r\") as z:\n",
     "    z.extractall(sset.PATH_GADM.parent)"
    ]
   },