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docs/tutorials/v1-inference-simsearch-naip-stacchip.ipynb

@@ -36,8 +36,8 @@
    "source": [
     "import sys\n",
     "\n",
-    "sys.path.append(\"../\") # Model src\n",
-    "sys.path.append(\"../../stacchip/\") "
+    "sys.path.append(\"../\")  # Model src\n",
+    "sys.path.append(\"../../stacchip/\")"
    ]
   },
   {
@@ -228,8 +228,10 @@
     "    indexer = NoStatsChipIndexer(item)\n",
     "\n",
     "    # Obtain the item bounds and centroid\n",
-    "    bounds, centroid_x, centroid_y  = get_bounds_centroid(item.assets[\"image\"].href)\n",
-    "    print(f\"Bounds coordinates: {bounds}, centroid coordinates: {centroid_x}, {centroid_y}\")\n",
+    "    bounds, centroid_x, centroid_y = get_bounds_centroid(item.assets[\"image\"].href)\n",
+    "    print(\n",
+    "        f\"Bounds coordinates: {bounds}, centroid coordinates: {centroid_x}, {centroid_y}\"\n",
+    "    )\n",
     "\n",
     "    # Instantiate the chipper\n",
     "    chipper = Chipper(indexer, asset_blacklist=[\"metadata\"])\n",
@@ -520,7 +522,9 @@
     "    date = datetime.datetime.strptime(f\"{YEAR}-06-01\", \"%Y-%m-%d\")\n",
     "    gsd = 0.6\n",
     "\n",
-    "    lon, lat = box(bounding_box[0], bounding_box[1], bounding_box[2], bounding_box[3]).centroid.coords[0]\n",
+    "    lon, lat = box(\n",
+    "        bounding_box[0], bounding_box[1], bounding_box[2], bounding_box[3]\n",
+    "    ).centroid.coords[0]\n",
     "\n",
     "    datacube = prep_datacube(\n",
     "        np.array(tile), lat, lon, pd.to_datetime(f\"{YEAR}-06-01\"), gsd, model.device\n",