docs: format (#21132)

cookbook/Multi_modal_RAG.ipynb

@@ -464,8 +464,8 @@
     "    Check if the base64 data is an image by looking at the start of the data\n",
     "    \"\"\"\n",
     "    image_signatures = {\n",
-    "        b\"\\xFF\\xD8\\xFF\": \"jpg\",\n",
+    "        b\"\\xff\\xd8\\xff\": \"jpg\",\n",
-    "        b\"\\x89\\x50\\x4E\\x47\\x0D\\x0A\\x1A\\x0A\": \"png\",\n",
+    "        b\"\\x89\\x50\\x4e\\x47\\x0d\\x0a\\x1a\\x0a\": \"png\",\n",
     "        b\"\\x47\\x49\\x46\\x38\": \"gif\",\n",
     "        b\"\\x52\\x49\\x46\\x46\": \"webp\",\n",
     "    }\n",

cookbook/Multi_modal_RAG_google.ipynb

@@ -462,8 +462,8 @@
     "    Check if the base64 data is an image by looking at the start of the data\n",
     "    \"\"\"\n",
     "    image_signatures = {\n",
-    "        b\"\\xFF\\xD8\\xFF\": \"jpg\",\n",
+    "        b\"\\xff\\xd8\\xff\": \"jpg\",\n",
-    "        b\"\\x89\\x50\\x4E\\x47\\x0D\\x0A\\x1A\\x0A\": \"png\",\n",
+    "        b\"\\x89\\x50\\x4e\\x47\\x0d\\x0a\\x1a\\x0a\": \"png\",\n",
     "        b\"\\x47\\x49\\x46\\x38\": \"gif\",\n",
     "        b\"\\x52\\x49\\x46\\x46\": \"webp\",\n",
     "    }\n",

cookbook/advanced_rag_eval.ipynb

@@ -532,8 +532,8 @@
     "def is_image_data(b64data):\n",
     "    \"\"\"Check if the base64 data is an image by looking at the start of the data.\"\"\"\n",
     "    image_signatures = {\n",
-    "        b\"\\xFF\\xD8\\xFF\": \"jpg\",\n",
+    "        b\"\\xff\\xd8\\xff\": \"jpg\",\n",
-    "        b\"\\x89\\x50\\x4E\\x47\\x0D\\x0A\\x1A\\x0A\": \"png\",\n",
+    "        b\"\\x89\\x50\\x4e\\x47\\x0d\\x0a\\x1a\\x0a\": \"png\",\n",
     "        b\"\\x47\\x49\\x46\\x38\": \"gif\",\n",
     "        b\"\\x52\\x49\\x46\\x46\": \"webp\",\n",
     "    }\n",

cookbook/self_query_hotel_search.ipynb

@@ -355,15 +355,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "attribute_info[-2][\n",
+    "attribute_info[-2][\"description\"] += (\n",
-    "    \"description\"\n",
+    "    f\". Valid values are {sorted(latest_price['starrating'].value_counts().index.tolist())}\"\n",
-    "] += f\". Valid values are {sorted(latest_price['starrating'].value_counts().index.tolist())}\"\n",
+    ")\n",
-    "attribute_info[3][\n",
+    "attribute_info[3][\"description\"] += (\n",
-    "    \"description\"\n",
+    "    f\". Valid values are {sorted(latest_price['maxoccupancy'].value_counts().index.tolist())}\"\n",
-    "] += f\". Valid values are {sorted(latest_price['maxoccupancy'].value_counts().index.tolist())}\"\n",
+    ")\n",
-    "attribute_info[-3][\n",
+    "attribute_info[-3][\"description\"] += (\n",
-    "    \"description\"\n",
+    "    f\". Valid values are {sorted(latest_price['country'].value_counts().index.tolist())}\"\n",
-    "] += f\". Valid values are {sorted(latest_price['country'].value_counts().index.tolist())}\""
+    ")"
    ]
   },
   {
@@ -688,9 +688,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "attribute_info[-3][\n",
+    "attribute_info[-3][\"description\"] += (\n",
-    "    \"description\"\n",
+    "    \". NOTE: Only use the 'eq' operator if a specific country is mentioned. If a region is mentioned, include all relevant countries in filter.\"\n",
-    "] += \". NOTE: Only use the 'eq' operator if a specific country is mentioned. If a region is mentioned, include all relevant countries in filter.\"\n",
+    ")\n",
     "chain = load_query_constructor_runnable(\n",
     "    ChatOpenAI(model=\"gpt-3.5-turbo\", temperature=0),\n",
     "    doc_contents,\n",

docs/docs/integrations/vectorstores/azure_cosmos_db.ipynb

@@ -21,22 +21,22 @@
   },
   {
    "cell_type": "markdown",
-   "source": [],
+   "id": "8c493e205ce1dda5",
    "metadata": {
     "collapsed": false
    },
-   "id": "8c493e205ce1dda5"
+   "source": []
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "id": "ab8e45f5bd435ade",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:25:05.278480Z",
      "start_time": "2024-02-08T18:24:51.560677Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
@@ -44,8 +44,8 @@
      "output_type": "stream",
      "text": [
       "\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m23.2.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m23.3.2\u001B[0m\r\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.2\u001b[0m\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\r\n",
       "Note: you may need to restart the kernel to use updated packages.\n"
      ]
     }
@@ -59,11 +59,11 @@
    "execution_count": 2,
    "id": "9c7ce9e7b26efbb0",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:25:56.926147Z",
      "start_time": "2024-02-08T18:25:56.900087Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -90,24 +90,24 @@
    "execution_count": 3,
    "id": "4a052d99c6b8a2a7",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:26:06.558294Z",
      "start_time": "2024-02-08T18:26:06.550008Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [],
    "source": [
     "# Set up the OpenAI Environment Variables\n",
     "os.environ[\"OPENAI_API_TYPE\"] = \"azure\"\n",
     "os.environ[\"OPENAI_API_VERSION\"] = \"2023-05-15\"\n",
-    "os.environ[\n",
+    "os.environ[\"OPENAI_API_BASE\"] = (\n",
-    "    \"OPENAI_API_BASE\"\n",
+    "    \"YOUR_OPEN_AI_ENDPOINT\"  # https://example.openai.azure.com/\n",
-    "] = \"YOUR_OPEN_AI_ENDPOINT\"  # https://example.openai.azure.com/\n",
+    ")\n",
     "os.environ[\"OPENAI_API_KEY\"] = \"YOUR_OPENAI_API_KEY\"\n",
-    "os.environ[\n",
+    "os.environ[\"OPENAI_EMBEDDINGS_DEPLOYMENT\"] = (\n",
-    "    \"OPENAI_EMBEDDINGS_DEPLOYMENT\"\n",
+    "    \"smart-agent-embedding-ada\"  # the deployment name for the embedding model\n",
-    "] = \"smart-agent-embedding-ada\"  # the deployment name for the embedding model\n",
+    ")\n",
     "os.environ[\"OPENAI_EMBEDDINGS_MODEL_NAME\"] = \"text-embedding-ada-002\"  # the model name"
    ]
   },
@@ -128,11 +128,11 @@
    "execution_count": 4,
    "id": "183741cf8f4c7c53",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:27:00.782280Z",
      "start_time": "2024-02-08T18:26:47.339151Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -169,11 +169,11 @@
    "execution_count": 5,
    "id": "39ae6058c2f7fdf1",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:31:13.486173Z",
      "start_time": "2024-02-08T18:30:54.175890Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
@@ -227,11 +227,11 @@
    "execution_count": 6,
    "id": "32c68d3246adc21f",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:31:47.468902Z",
      "start_time": "2024-02-08T18:31:46.053602Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -245,11 +245,11 @@
    "execution_count": 7,
    "id": "8feeeb4364efb204",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:31:50.982598Z",
      "start_time": "2024-02-08T18:31:50.977605Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
@@ -285,11 +285,11 @@
    "execution_count": 8,
    "id": "3c218ab6f59301f7",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:32:14.299599Z",
      "start_time": "2024-02-08T18:32:12.923464Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
@@ -323,11 +323,11 @@
    "execution_count": 9,
    "id": "fd67e4d92c9ab32f",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-02-08T18:32:24.021434Z",
      "start_time": "2024-02-08T18:32:22.867658Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {

docs/docs/integrations/vectorstores/documentdb.ipynb

@@ -105,9 +105,9 @@
     "\n",
     "# Set up the OpenAI Environment Variables\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
-    "os.environ[\n",
+    "os.environ[\"OPENAI_EMBEDDINGS_DEPLOYMENT\"] = (\n",
-    "    \"OPENAI_EMBEDDINGS_DEPLOYMENT\"\n",
+    "    \"smart-agent-embedding-ada\"  # the deployment name for the embedding model\n",
-    "] = \"smart-agent-embedding-ada\"  # the deployment name for the embedding model\n",
+    ")\n",
     "os.environ[\"OPENAI_EMBEDDINGS_MODEL_NAME\"] = \"text-embedding-ada-002\"  # the model name"
    ]
   },

docs/docs/modules/data_connection/document_transformers/recursive_text_splitter.ipynb

@@ -140,7 +140,7 @@
     "        \" \",\n",
     "        \".\",\n",
     "        \",\",\n",
-    "        \"\\u200B\",  # Zero-width space\n",
+    "        \"\\u200b\",  # Zero-width space\n",
     "        \"\\uff0c\",  # Fullwidth comma\n",
     "        \"\\u3001\",  # Ideographic comma\n",
     "        \"\\uff0e\",  # Fullwidth full stop\n",

docs/scripts/check_imports.py

@@ -1,4 +1,5 @@
 """This script checks documentation for broken import statements."""
+
 import importlib
 import json
 import logging