github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-09-07 22:11:51 +00:00
Code Issues Packages Projects Releases Wiki Activity

docs: format (#21132)

Browse Source
This commit is contained in:
Bagatur
2024-04-30 19:32:41 -04:00
committed by GitHub
parent 14422a4220
commit 6d3e9eaf84
8 changed files with 51 additions and 50 deletions
Download Patch File Download Diff File Expand all files Collapse all files

56
docs/docs/integrations/vectorstores/azure_cosmos_db.ipynb
View File

@@ -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 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 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",
"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",
" \"OPENAI_API_BASE\"\n",
"] = \"YOUR_OPEN_AI_ENDPOINT\" # https://example.openai.azure.com/\n",
"os.environ[\"OPENAI_API_BASE\"] = (\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",
" \"OPENAI_EMBEDDINGS_DEPLOYMENT\"\n",
"] = \"smart-agent-embedding-ada\" # the deployment name for the embedding model\n",
"os.environ[\"OPENAI_EMBEDDINGS_DEPLOYMENT\"] = (\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": [
{

6
docs/docs/integrations/vectorstores/documentdb.ipynb
View File

@@ -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",
" \"OPENAI_EMBEDDINGS_DEPLOYMENT\"\n",
"] = \"smart-agent-embedding-ada\" # the deployment name for the embedding model\n",
"os.environ[\"OPENAI_EMBEDDINGS_DEPLOYMENT\"] = (\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"
]
},

2
docs/docs/modules/data_connection/document_transformers/recursive_text_splitter.ipynb
View File

@@ -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",

1
docs/scripts/check_imports.py
View File

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