text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_community.agent_toolkits.sql.toolkit import SQLDatabaseToolkit
__all__ = ["SQLDatabaseToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/sql/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/sql/toolkit.py",
"repo_id": "langchain",
"token_count": 34
} | 438 |
from abc import abstractmethod
import os
from typing import ClassVar, Dict, Any
import uuid
import chromadb
from chromadb.config import Component
from pathlib import Path
from enum import Enum
TELEMETRY_WHITELISTED_SETTINGS = [
"chroma_api_impl",
"is_persistent",
"chroma_server_ssl_enabled",
]
class Serv... | chroma/chromadb/telemetry/product/__init__.py/0 | {
"file_path": "chroma/chromadb/telemetry/product/__init__.py",
"repo_id": "chroma",
"token_count": 1226
} | 23 |
from typing import Dict
from ..utils import add_end_docstrings
from .base import GenericTensor, Pipeline, build_pipeline_init_args
@add_end_docstrings(
build_pipeline_init_args(has_tokenizer=True, supports_binary_output=False),
r"""
tokenize_kwargs (`dict`, *optional*):
Additional dic... | transformers/src/transformers/pipelines/feature_extraction.py/0 | {
"file_path": "transformers/src/transformers/pipelines/feature_extraction.py",
"repo_id": "transformers",
"token_count": 1276
} | 685 |
pipeline {
options {
timestamps()
}
agent {
kubernetes {
label "milvus-test"
defaultContainer 'main'
yamlFile "build/ci/jenkins/pod/chaos-test.yaml"
customWorkspace '/home/jenkins/agent/workspace'
// idle 5 minutes to wait clean up ... | milvus/build/ci/jenkins/DeployTestKafkaMQ.groovy/0 | {
"file_path": "milvus/build/ci/jenkins/DeployTestKafkaMQ.groovy",
"repo_id": "milvus",
"token_count": 10484
} | 1,712 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/readers/llama-index-readers-whatsapp/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-whatsapp/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,395 |
import logging
from typing import List, Optional
import requests
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.indices.managed.zilliz.base import Z... | llama_index/llama-index-legacy/llama_index/legacy/indices/managed/zilliz/retriever.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/managed/zilliz/retriever.py",
"repo_id": "llama_index",
"token_count": 1275
} | 1,603 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/drive/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/drive/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,377 |
from llama_index.readers.patentsview.base import PatentsviewReader
__all__ = ["PatentsviewReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/llama_index/readers/patentsview/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/llama_index/readers/patentsview/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,357 |
"""Test ForeFrontAI LLM"""
from typing import cast
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture, MonkeyPatch
from langchain_community.llms.forefrontai import ForefrontAI
def test_forefrontai_api_key_is_secret_string() -> None:
"""Test that the API key is stored as a Secret... | langchain/libs/community/tests/unit_tests/llms/test_forefrontai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_forefrontai.py",
"repo_id": "langchain",
"token_count": 624
} | 377 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/question_gen/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/question_gen/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,515 |
"""Llava Completion Pack."""
from typing import Any, Dict
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.llms.replicate import Replicate
class LlavaCompletionPack(BaseLlamaPack):
"""Llava Completion pack."""
def __init__(
self,
image_url: str,
**kwargs:... | llama_index/llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/base.py",
"repo_id": "llama_index",
"token_count": 494
} | 1,592 |
package utils
import (
"os"
"testing"
)
const environmentVariable = "CHROMA_KUBERNETES_INTEGRATION"
// ShouldRunTests checks if the tests should be run based on an environment variable.
func ShouldRunIntegrationTests() bool {
// Get the environment variable.
envVarValue := os.Getenv(environmentVariable)
// Retu... | chroma/go/coordinator/internal/utils/integration.go/0 | {
"file_path": "chroma/go/coordinator/internal/utils/integration.go",
"repo_id": "chroma",
"token_count": 252
} | 56 |
import { CharacterTextSplitter } from "langchain/text_splitter";
import { Document } from "@langchain/core/documents";
export const run = async () => {
/* Split text */
const text = "foo bar baz 123";
const splitter = new CharacterTextSplitter({
separator: " ",
chunkSize: 7,
chunkOverlap: 3,
});
... | langchainjs/examples/src/indexes/text_splitter.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/text_splitter.ts",
"repo_id": "langchainjs",
"token_count": 173
} | 824 |
<jupyter_start><jupyter_text>ClickHouse Vector StoreIn this notebook we are going to show a quick demo of using the ClickHouseVectorStore. If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>!pip install llama-index
!pip install clickhouse_connect<jupyter_output><empt... | llama_index/docs/examples/vector_stores/ClickHouseIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/ClickHouseIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1480
} | 1,165 |
from llama_index.core.storage.chat_store.base import BaseChatStore
from llama_index.storage.chat_store.redis import RedisChatStore
def test_class():
names_of_base_classes = [b.__name__ for b in RedisChatStore.__mro__]
assert BaseChatStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/tests/test_chat_store_redis_chat_store.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/tests/test_chat_store_redis_chat_store.py",
"repo_id": "llama_index",
"token_count": 98
} | 1,411 |
# LlamaIndex Agent Integration: Openai
| llama_index/llama-index-integrations/agent/llama-index-agent-openai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,224 |
from pathlib import Path
import pandas as pd
from langchain.agents import AgentExecutor, OpenAIFunctionsAgent
from langchain.tools.retriever import create_retriever_tool
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorsto... | langchain/templates/csv-agent/csv_agent/agent.py/0 | {
"file_path": "langchain/templates/csv-agent/csv_agent/agent.py",
"repo_id": "langchain",
"token_count": 956
} | 661 |
from llama_index.indices.managed.zilliz.base import ZillizCloudPipelineIndex
from llama_index.indices.managed.zilliz.retriever import ZillizCloudPipelineRetriever
__all__ = ["ZillizCloudPipelineIndex", "ZillizCloudPipelineRetriever"]
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/llama_index/indices/managed/zilliz/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/llama_index/indices/managed/zilliz/__init__.py",
"repo_id": "llama_index",
"token_count": 84
} | 1,214 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/memory/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/memory/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,528 |
# Parts of the code are adapted from the snippets provided in the TorchAudio Wav2Vec forced alignment tutorial.
# The full tutorial can be found here: https://pytorch.org/audio/stable/tutorials/forced_alignment_tutorial.html
import argparse
import os
from dataclasses import dataclass
import torch
import torchaudio
fr... | transformers/examples/research_projects/wav2vec2/alignment.py/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/alignment.py",
"repo_id": "transformers",
"token_count": 4170
} | 558 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package segments
import (
commonpb "github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
mock "github.com/stretchr/testify/mock"
querypb "github.com/milvus-io/milvus/internal/proto/querypb"
)
// MockSegmentManager is an autogenerated mock type for the SegmentMa... | milvus/internal/querynodev2/segments/mock_segment_manager.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/mock_segment_manager.go",
"repo_id": "milvus",
"token_count": 8453
} | 1,993 |
import { z } from "zod";
import { openAICompletionToTextGenerationStream } from "./openAICompletionToTextGenerationStream";
import { openAIChatToTextGenerationStream } from "./openAIChatToTextGenerationStream";
import { buildPrompt } from "$lib/buildPrompt";
import { OPENAI_API_KEY } from "$env/static/private";
import ... | chat-ui/src/lib/server/endpoints/openai/endpointOai.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/openai/endpointOai.ts",
"repo_id": "chat-ui",
"token_count": 1047
} | 89 |
from langchain_community.chat_models.everlyai import (
ChatEverlyAI,
)
__all__ = ["ChatEverlyAI"]
| langchain/libs/langchain/langchain/chat_models/everlyai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/everlyai.py",
"repo_id": "langchain",
"token_count": 39
} | 470 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/squeezebert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/squeezebert.md",
"repo_id": "transformers",
"token_count": 1205
} | 464 |
<jupyter_start><jupyter_text>Document LoadingLoad a blog post on agents.<jupyter_code>! pip install pdf2image<jupyter_output><empty_output><jupyter_text>Load academic papers -<jupyter_code>import arxiv
from langchain_community.chat_models import ChatAnthropic
from langchain_community.document_loaders import ArxivLoader... | langchain/templates/summarize-anthropic/summarize_anthropic.ipynb/0 | {
"file_path": "langchain/templates/summarize-anthropic/summarize_anthropic.ipynb",
"repo_id": "langchain",
"token_count": 395
} | 712 |
# coding=utf-8
# Copyright 2022 SHI Labs and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | transformers/src/transformers/models/oneformer/convert_to_hf_oneformer.py/0 | {
"file_path": "transformers/src/transformers/models/oneformer/convert_to_hf_oneformer.py",
"repo_id": "transformers",
"token_count": 26214
} | 639 |
"""Init params."""
| llama_index/llama-index-legacy/llama_index/legacy/finetuning/embeddings/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/finetuning/embeddings/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,491 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-agent-search-retriever/examples/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agent-search-retriever/examples/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,767 |
<jupyter_start><jupyter_text>Tencent Cloud VectorDB>[Tencent Cloud VectorDB](https://cloud.tencent.com/document/product/1709) is a fully managed, self-developed, enterprise-level distributed database service designed for storing, retrieving, and analyzing multi-dimensional vector data. The database supports multiple in... | langchain/docs/docs/integrations/vectorstores/tencentvectordb.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/tencentvectordb.ipynb",
"repo_id": "langchain",
"token_count": 631
} | 186 |
# Copyright 2024 PixArt-Alpha Authors and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | diffusers/src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py",
"repo_id": "diffusers",
"token_count": 19802
} | 261 |
"""Tavily tool spec."""
from typing import List, Optional
from llama_index.core.schema import Document
from llama_index.core.tools.tool_spec.base import BaseToolSpec
class TavilyToolSpec(BaseToolSpec):
"""Tavily tool spec."""
spec_functions = [
"search",
]
def __init__(self, api_key: str) ... | llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/llama_index/tools/tavily_research/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/llama_index/tools/tavily_research/base.py",
"repo_id": "llama_index",
"token_count": 501
} | 1,530 |
# coding=utf-8
# Copyright 2018 The Microsoft Research Asia LayoutLM Team Authors and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/... | transformers/src/transformers/models/layoutlm/modeling_tf_layoutlm.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlm/modeling_tf_layoutlm.py",
"repo_id": "transformers",
"token_count": 31687
} | 619 |
from importlib import metadata
## Create namespaces for pydantic v1 and v2.
# This code must stay at the top of the file before other modules may
# attempt to import pydantic since it adds pydantic_v1 and pydantic_v2 to sys.modules.
#
# This hack is done for the following reasons:
# * Langchain will attempt to remain ... | langchain/libs/core/langchain_core/pydantic_v1/__init__.py/0 | {
"file_path": "langchain/libs/core/langchain_core/pydantic_v1/__init__.py",
"repo_id": "langchain",
"token_count": 293
} | 428 |
---
sidebar_label: Google Vertex AI
---
import CodeBlock from "@theme/CodeBlock";
# ChatGoogleVertexAI
LangChain.js supports Google Vertex AI chat models as an integration.
It supports two different methods of authentication based on whether you're running
in a Node environment or a web environment.
## Setup
### N... | langchainjs/docs/core_docs/docs/integrations/chat/google_vertex_ai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/google_vertex_ai.mdx",
"repo_id": "langchainjs",
"token_count": 962
} | 753 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/utils/test_file_utils.py/0 | {
"file_path": "transformers/tests/utils/test_file_utils.py",
"repo_id": "transformers",
"token_count": 2005
} | 769 |
# coding=utf-8
# Copyright 2023 IBM and HuggingFace Inc. team. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... | transformers/src/transformers/models/patchtsmixer/configuration_patchtsmixer.py/0 | {
"file_path": "transformers/src/transformers/models/patchtsmixer/configuration_patchtsmixer.py",
"repo_id": "transformers",
"token_count": 4710
} | 652 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "tools/gmail",
});
export * from "@langchain/community/tools/gmail";
| langchainjs/langchain/src/tools/gmail/index.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/gmail/index.ts",
"repo_id": "langchainjs",
"token_count": 69
} | 916 |
from langchain_community.retrievers.vespa_retriever import VespaRetriever
__all__ = ["VespaRetriever"]
| langchain/libs/langchain/langchain/retrievers/vespa_retriever.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/vespa_retriever.py",
"repo_id": "langchain",
"token_count": 37
} | 572 |
{
"name": "test-exports-vercel",
"version": "0.1.0",
"workspaces": [
"libs/*"
],
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"test": "next lint"
},
"dependencies": {
"@langchain/anthropic": "workspace:*",
"@langchain/communit... | langchainjs/environment_tests/test-exports-vercel/package.json/0 | {
"file_path": "langchainjs/environment_tests/test-exports-vercel/package.json",
"repo_id": "langchainjs",
"token_count": 347
} | 776 |
export {
RemoteRetriever,
type RemoteRetrieverParams,
type RemoteRetrieverAuth,
type RemoteRetrieverValues,
} from "@langchain/community/retrievers/remote";
export {
ChatGPTPluginRetriever,
type ChatGPTPluginRetrieverFilter,
type ChatGPTPluginRetrieverParams,
} from "./chatgpt-plugin.js";
export {
Remot... | langchainjs/langchain/src/retrievers/remote/index.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/remote/index.ts",
"repo_id": "langchainjs",
"token_count": 143
} | 959 |
python_sources()
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/playground/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/playground/BUILD",
"repo_id": "llama_index",
"token_count": 32
} | 1,810 |
import sys
from io import StringIO
from typing import Any, Dict, List, Tuple
from llama_index.core.agent.types import BaseAgent
from llama_index.core.llama_pack.base import BaseLlamaPack
class Capturing(list):
"""To capture the stdout from `BaseAgent.stream_chat` with `verbose=True`. Taken from
https://stack... | llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/llama_index/packs/gradio_agent_chat/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/llama_index/packs/gradio_agent_chat/base.py",
"repo_id": "llama_index",
"token_count": 2635
} | 1,586 |
from rag_aws_kendra.chain import chain
if __name__ == "__main__":
query = "Does Kendra support table extraction?"
print(chain.invoke(query)) # noqa: T201
| langchain/templates/rag-aws-kendra/main.py/0 | {
"file_path": "langchain/templates/rag-aws-kendra/main.py",
"repo_id": "langchain",
"token_count": 57
} | 688 |
import type {
BaseLanguageModelInterface,
BaseLanguageModelInput,
BaseFunctionCallOptions,
} from "@langchain/core/language_models/base";
import type { StructuredToolInterface } from "@langchain/core/tools";
import type { BaseChatModel } from "@langchain/core/language_models/chat_models";
import {
Runnable,
R... | langchainjs/langchain/src/agents/openai_functions/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/openai_functions/index.ts",
"repo_id": "langchainjs",
"token_count": 3617
} | 878 |
from llama_index.legacy.node_parser.text.code import CodeSplitter
from llama_index.legacy.node_parser.text.langchain import LangchainNodeParser
from llama_index.legacy.node_parser.text.semantic_splitter import (
SemanticSplitterNodeParser,
)
from llama_index.legacy.node_parser.text.sentence import SentenceSplitter
... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/text/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/text/__init__.py",
"repo_id": "llama_index",
"token_count": 223
} | 1,744 |
{
"modelname": "Template",
"uppercase_modelname": "TEMPLATE",
"lowercase_modelname": "template",
"camelcase_modelname": "Template",
"authors": "The HuggingFace Team",
"checkpoint_identifier": "brand-new-bert-base-cased",
"tokenizer_type": "Based on BERT",
"generate_tensorflow_pytorch_and_flax": "PyTorch... | transformers/templates/adding_a_new_model/tests/encoder-bert-tokenizer.json/0 | {
"file_path": "transformers/templates/adding_a_new_model/tests/encoder-bert-tokenizer.json",
"repo_id": "transformers",
"token_count": 148
} | 762 |
import { expect, test } from "@jest/globals";
import {
FewShotChatMessagePromptTemplate,
FewShotPromptTemplate,
} from "../few_shot.js";
import { ChatPromptTemplate } from "../index.js";
import { PromptTemplate } from "../prompt.js";
import { LengthBasedExampleSelector } from "../../example_selectors/length_based.j... | langchainjs/langchain-core/src/prompts/tests/few_shot.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/tests/few_shot.test.ts",
"repo_id": "langchainjs",
"token_count": 3014
} | 837 |
apiVersion: v1
kind: Service
metadata:
name: segment-server
namespace: chroma
spec:
ports:
- name: segment-server-port
port: 50051
targetPort: 50051
selector:
app: segment-server
type: ClusterIP
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: segment-server
namespace: chroma... | chroma/k8s/deployment/segment-server.yaml/0 | {
"file_path": "chroma/k8s/deployment/segment-server.yaml",
"repo_id": "chroma",
"token_count": 883
} | 57 |
## Examples
> Searching for community contributions! Join the [#contributing](https://discord.com/channels/1073293645303795742/1074711539724058635) Discord Channel to discuss.
This folder will contain an ever-growing set of examples.
The key with examples is that they should *always* work. The failure mode of exampl... | chroma/examples/README.md/0 | {
"file_path": "chroma/examples/README.md",
"repo_id": "chroma",
"token_count": 454
} | 38 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/task_statistic_test.go/0 | {
"file_path": "milvus/internal/proxy/task_statistic_test.go",
"repo_id": "milvus",
"token_count": 2753
} | 2,025 |
use symphonia::core::audio::{AudioBufferRef, Signal};
use symphonia::core::codecs::{DecoderOptions, CODEC_TYPE_NULL};
use symphonia::core::conv::FromSample;
fn conv<T>(samples: &mut Vec<f32>, data: std::borrow::Cow<symphonia::core::audio::AudioBuffer<T>>)
where
T: symphonia::core::sample::Sample,
f32: symphoni... | candle/candle-examples/examples/whisper/pcm_decode.rs/0 | {
"file_path": "candle/candle-examples/examples/whisper/pcm_decode.rs",
"repo_id": "candle",
"token_count": 1267
} | 50 |
<jupyter_start><jupyter_text>WhyLabs>[WhyLabs](https://docs.whylabs.ai/docs/) is an observability platform designed to monitor data pipelines and ML applications for data quality regressions, data drift, and model performance degradation. Built on top of an open-source package called `whylogs`, the platform enables Dat... | langchain/docs/docs/integrations/providers/whylabs_profiling.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/whylabs_profiling.ipynb",
"repo_id": "langchain",
"token_count": 1078
} | 157 |
from copy import deepcopy
__all__ = ['get_img_extensions', 'is_img_extension', 'set_img_extensions', 'add_img_extensions', 'del_img_extensions']
IMG_EXTENSIONS = ('.png', '.jpg', '.jpeg') # singleton, kept public for bwd compat use
_IMG_EXTENSIONS_SET = set(IMG_EXTENSIONS) # set version, private, kept in sync
de... | pytorch-image-models/timm/data/readers/img_extensions.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/img_extensions.py",
"repo_id": "pytorch-image-models",
"token_count": 582
} | 370 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | peft/docs/source/tutorial/peft_model_config.md/0 | {
"file_path": "peft/docs/source/tutorial/peft_model_config.md",
"repo_id": "peft",
"token_count": 2415
} | 323 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/dependency_versions_check.py/0 | {
"file_path": "transformers/src/transformers/dependency_versions_check.py",
"repo_id": "transformers",
"token_count": 759
} | 593 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1130
} | 591 |
from __future__ import annotations
from typing import TYPE_CHECKING, Tuple, Union
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
if TYPE_CHECKING:
from timescale_vector import client
class TimescaleVectorTrans... | langchain/libs/langchain/langchain/retrievers/self_query/timescalevector.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/self_query/timescalevector.py",
"repo_id": "langchain",
"token_count": 1139
} | 561 |
import base64
import json
from langchain_community.chat_models import ChatOpenAI
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate, SystemMessagePromptTemplate
from langchain_core.pydantic_v1 import Field
from langserve import CustomUserType
from .prompts ... | langchain/templates/plate-chain/plate_chain/chain.py/0 | {
"file_path": "langchain/templates/plate-chain/plate_chain/chain.py",
"repo_id": "langchain",
"token_count": 1059
} | 708 |
import random
from sklearn import preprocessing
import numpy as np
import sys
import json
import time
from utils import constant
from utils.utils import gen_collection_name
from utils.util_log import test_log as logger
import pytest
from base.testbase import TestBase
from utils.utils import (get_data_by_payload, get_co... | milvus/tests/restful_client/testcases/test_vector_operations.py/0 | {
"file_path": "milvus/tests/restful_client/testcases/test_vector_operations.py",
"repo_id": "milvus",
"token_count": 16876
} | 1,985 |
from typing import List
from langchain_core.chat_history import (
BaseChatMessageHistory,
)
from langchain_core.messages import BaseMessage
from langchain_core.pydantic_v1 import BaseModel, Field
class ChatMessageHistory(BaseChatMessageHistory, BaseModel):
"""In memory implementation of chat message history.... | langchain/libs/core/tests/unit_tests/fake/memory.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/fake/memory.py",
"repo_id": "langchain",
"token_count": 206
} | 404 |
# Component Wise Evaluation
To do more in-depth evaluation of your pipeline, it helps to break it down into an evaluation of individual components.
For instance, a particular failure case may be due to a combination of not retrieving the right documents and also the LLM misunderstanding the context and hallucinating ... | llama_index/docs/optimizing/evaluation/component_wise_evaluation.md/0 | {
"file_path": "llama_index/docs/optimizing/evaluation/component_wise_evaluation.md",
"repo_id": "llama_index",
"token_count": 638
} | 1,108 |
from __future__ import annotations # allows pydantic model to reference itself
import re
from typing import Any, List, Optional, Union
from langchain_community.graphs.networkx_graph import NetworkxEntityGraph
from langchain_experimental.cpal.constants import Constant
from langchain_experimental.pydantic_v1 import (... | langchain/libs/experimental/langchain_experimental/cpal/models.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/cpal/models.py",
"repo_id": "langchain",
"token_count": 3831
} | 428 |
# Inception ResNet v2
**Inception-ResNet-v2** is a convolutional neural architecture that builds on the Inception family of architectures but incorporates [residual connections](https://paperswithcode.com/method/residual-connection) (replacing the filter concatenation stage of the Inception architecture).
{% include ... | pytorch-image-models/docs/models/.templates/models/inception-resnet-v2.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/inception-resnet-v2.md",
"repo_id": "pytorch-image-models",
"token_count": 864
} | 337 |
from __future__ import annotations
import json
import logging
import uuid
import warnings
from itertools import repeat
from typing import (
Any,
Iterable,
List,
Optional,
Tuple,
Type,
)
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
from l... | langchain/libs/community/langchain_community/vectorstores/yellowbrick.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/yellowbrick.py",
"repo_id": "langchain",
"token_count": 5090
} | 338 |
<jupyter_start><jupyter_text>PGVector>[PGVector](https://github.com/pgvector/pgvector) is an open-source vector similarity search for `Postgres`It supports:- exact and approximate nearest neighbor search- L2 distance, inner product, and cosine distanceThis notebook shows how to use the Postgres vector database (`PGVect... | langchain/docs/docs/integrations/vectorstores/pgvector.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/pgvector.ipynb",
"repo_id": "langchain",
"token_count": 1945
} | 184 |
# Replicate
This page covers how to run models on Replicate within LangChain.
## Installation and Setup
- Create a [Replicate](https://replicate.com) account. Get your API key and set it as an environment variable (`REPLICATE_API_TOKEN`)
- Install the [Replicate python client](https://github.com/replicate/replicate-py... | langchain/docs/docs/integrations/providers/replicate.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/replicate.mdx",
"repo_id": "langchain",
"token_count": 685
} | 157 |
<jupyter_start><jupyter_text>Cap the max number of iterationsThis notebook walks through how to cap an agent at taking a certain number of steps. This can be useful to ensure that they do not go haywire and take too many steps.<jupyter_code>from langchain import hub
from langchain.agents import AgentExecutor, create_re... | langchain/docs/docs/modules/agents/how_to/max_iterations.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/agents/how_to/max_iterations.ipynb",
"repo_id": "langchain",
"token_count": 1022
} | 197 |
# coding=utf-8
# Copyright 2022 Meta Platforms, Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses... | transformers/src/transformers/models/regnet/modeling_regnet.py/0 | {
"file_path": "transformers/src/transformers/models/regnet/modeling_regnet.py",
"repo_id": "transformers",
"token_count": 7184
} | 651 |
# Frequently Asked Questions (FAQ)
---
##### [Large Language Models (LLM)](./faq/llms.md)
Discover how to tailor LLMs, explore available models, understand cost implications, and switch between languages.
```{toctree}
---
maxdepth: 1
hidden: true
---
faq/llms.md
```
---
##### [Embeddings](./faq/embeddings.md)
H... | llama_index/docs/community/frequently_asked_questions.md/0 | {
"file_path": "llama_index/docs/community/frequently_asked_questions.md",
"repo_id": "llama_index",
"token_count": 456
} | 1,038 |
import hashlib
from pathlib import Path
from typing import Any, Dict, Iterable, Tuple, Union
def import_spacy() -> Any:
"""Import the spacy python package and raise an error if it is not installed."""
try:
import spacy
except ImportError:
raise ImportError(
"This callback manag... | langchain/libs/community/langchain_community/callbacks/utils.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/utils.py",
"repo_id": "langchain",
"token_count": 3538
} | 219 |
.PHONY: tests lint format
tests:
poetry run pytest tests/unit_tests
tests_watch:
poetry run ptw --now . -- -vv -x tests/unit_tests
integration_tests:
poetry run pytest -v --durations=10 --cov=langsmith --cov-report=term-missing --cov-report=html --cov-config=.coveragerc tests/integration_tests
integration_tests... | langsmith-sdk/python/Makefile/0 | {
"file_path": "langsmith-sdk/python/Makefile",
"repo_id": "langsmith-sdk",
"token_count": 258
} | 1,148 |
import io
import json
from itertools import islice
from typing import Any, Callable, Dict, List
import numpy as np
import pyarrow as pa
import datasets
logger = datasets.utils.logging.get_logger(__name__)
class WebDataset(datasets.GeneratorBasedBuilder):
DEFAULT_WRITER_BATCH_SIZE = 100
IMAGE_EXTENSIONS: L... | datasets/src/datasets/packaged_modules/webdataset/webdataset.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/webdataset/webdataset.py",
"repo_id": "datasets",
"token_count": 4107
} | 133 |
"""Test Zilliz functionality."""
from typing import List, Optional
from langchain_core.documents import Document
from langchain_community.vectorstores import Zilliz
from tests.integration_tests.vectorstores.fake_embeddings import (
FakeEmbeddings,
fake_texts,
)
def _zilliz_from_texts(
metadatas: Optiona... | langchain/libs/community/tests/integration_tests/vectorstores/test_zilliz.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_zilliz.py",
"repo_id": "langchain",
"token_count": 1254
} | 380 |
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class ActivationsTests(unittest.TestCase):
def test_swish(self):
act = get_activation("swish")
self.assertIsInstance(act, nn.SiLU)
self.assertEqual(act(torch.tensor(-100, dtype=tor... | diffusers/tests/models/test_activations.py/0 | {
"file_path": "diffusers/tests/models/test_activations.py",
"repo_id": "diffusers",
"token_count": 845
} | 264 |
# Microsoft
All functionality related to `Microsoft Azure` and other `Microsoft` products.
## LLM
### Azure OpenAI
> [Microsoft Azure](https://en.wikipedia.org/wiki/Microsoft_Azure), often referred to as `Azure` is a cloud computing platform run by `Microsoft`, which offers access, management, and development of ap... | langchainjs/docs/core_docs/docs/integrations/platforms/microsoft.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/platforms/microsoft.mdx",
"repo_id": "langchainjs",
"token_count": 1497
} | 734 |
<jupyter_start><jupyter_text>Elasticsearch[](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/use_cases/qa_structured/integrations/elasticsearch.ipynb)We can use LLMs to interact with Elasticsearch analytics databases in natural language.This chain builds search queries via the Elas... | langchain/cookbook/elasticsearch_db_qa.ipynb/0 | {
"file_path": "langchain/cookbook/elasticsearch_db_qa.ipynb",
"repo_id": "langchain",
"token_count": 893
} | 71 |
import type { AgentStep } from "@langchain/core/agents";
import {
type BaseMessage,
AIMessage,
HumanMessage,
} from "@langchain/core/messages";
import { renderTemplate } from "@langchain/core/prompts";
export function formatLogToMessage(
intermediateSteps: AgentStep[],
templateToolResponse = "{observation}"
... | langchainjs/langchain/src/agents/format_scratchpad/log_to_message.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/format_scratchpad/log_to_message.ts",
"repo_id": "langchainjs",
"token_count": 353
} | 913 |
from langchain_community.agent_toolkits.spark_sql.toolkit import SparkSQLToolkit
__all__ = ["SparkSQLToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/toolkit.py",
"repo_id": "langchain",
"token_count": 38
} | 463 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/llama_index/vector_stores/awadb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/llama_index/vector_stores/awadb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,544 |
import logging
from pathlib import Path
from langchain.retrievers.multi_vector import MultiVectorRetriever
from langchain.storage import LocalFileStore
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
logging.basicConfig(level=logging.INFO)
logger = logg... | langchain/templates/propositional-retrieval/propositional_retrieval/storage.py/0 | {
"file_path": "langchain/templates/propositional-retrieval/propositional_retrieval/storage.py",
"repo_id": "langchain",
"token_count": 404
} | 678 |
# Semantic segmentation
Semantic segmentation datasets are used to train a model to classify every pixel in an image. There are
a wide variety of applications enabled by these datasets such as background removal from images, stylizing
images, or scene understanding for autonomous driving. This guide will show you how ... | datasets/docs/source/semantic_segmentation.mdx/0 | {
"file_path": "datasets/docs/source/semantic_segmentation.mdx",
"repo_id": "datasets",
"token_count": 2142
} | 125 |
# SelecSLS
**SelecSLS** uses novel selective long and short range skip connections to improve the information flow allowing for a drastically faster network without compromising accuracy.
{% include 'code_snippets.md' %}
## How do I train this model?
You can follow the [timm recipe scripts](https://rwightman.github... | pytorch-image-models/docs/models/.templates/models/selecsls.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/selecsls.md",
"repo_id": "pytorch-image-models",
"token_count": 1608
} | 348 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,262 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/instruct_pix2pix/train_instruct_pix2pix.py/0 | {
"file_path": "diffusers/examples/instruct_pix2pix/train_instruct_pix2pix.py",
"repo_id": "diffusers",
"token_count": 19582
} | 215 |
import { BaseMessage, HumanMessage } from "@langchain/core/messages";
/**
* Contains the chunk of messages, along with the
* users response, which is the next message after the chunk.
*/
export type MessageChunkResult = {
chunkedMessages: BaseMessage[];
/**
* User response can be undefined if the last messag... | langchainjs/langchain/src/experimental/chains/violation_of_expectations/types.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/chains/violation_of_expectations/types.ts",
"repo_id": "langchainjs",
"token_count": 759
} | 894 |
<jupyter_start><jupyter_text>*Introducing Hugging Face's new library for diffusion models*Diffusion models proved themselves very effective in artificial synthesis, even beating GANs for images. Because of that, they gained traction in the machine learning community and play an important role for systems like [DALL-E 2... | notebooks/diffusers/diffusers_intro.ipynb/0 | {
"file_path": "notebooks/diffusers/diffusers_intro.ipynb",
"repo_id": "notebooks",
"token_count": 6228
} | 302 |
from langchain_community.retrievers.bedrock import (
AmazonKnowledgeBasesRetriever,
RetrievalConfig,
VectorSearchConfig,
)
__all__ = ["VectorSearchConfig", "RetrievalConfig", "AmazonKnowledgeBasesRetriever"]
| langchain/libs/langchain/langchain/retrievers/bedrock.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/bedrock.py",
"repo_id": "langchain",
"token_count": 74
} | 532 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/research_projects/xtreme-s/run_xtreme_s.py/0 | {
"file_path": "transformers/examples/research_projects/xtreme-s/run_xtreme_s.py",
"repo_id": "transformers",
"token_count": 16446
} | 549 |
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | trl/examples/scripts/ppo.py/0 | {
"file_path": "trl/examples/scripts/ppo.py",
"repo_id": "trl",
"token_count": 2729
} | 788 |
import torch
from diffusers import EulerDiscreteScheduler
from diffusers.utils.testing_utils import torch_device
from .test_schedulers import SchedulerCommonTest
class EulerDiscreteSchedulerTest(SchedulerCommonTest):
scheduler_classes = (EulerDiscreteScheduler,)
num_inference_steps = 10
def get_schedul... | diffusers/tests/schedulers/test_scheduler_euler.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_euler.py",
"repo_id": "diffusers",
"token_count": 3093
} | 292 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-make-com/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-make-com/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,331 |
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";
import { ZepMemory } from "@langchain/community/memory/zep";
import { randomUUID } from "crypto";
const sessionId = randomUUID(); // This should be unique for each user or each user's session.
const zepURL = "http://l... | langchainjs/examples/src/memory/zep.ts/0 | {
"file_path": "langchainjs/examples/src/memory/zep.ts",
"repo_id": "langchainjs",
"token_count": 413
} | 818 |
"""S3 file and directory reader.
A loader that fetches a file or iterates through a directory on AWS S3.
"""
import os
import shutil
import tempfile
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
from llama_index.core.readers import SimpleDirectoryReader
from llama_index.core.... | llama_index/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/base.py",
"repo_id": "llama_index",
"token_count": 2606
} | 1,453 |
from langchain_community.vectorstores.typesense import Typesense
__all__ = ["Typesense"]
| langchain/libs/langchain/langchain/vectorstores/typesense.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/typesense.py",
"repo_id": "langchain",
"token_count": 25
} | 580 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/whisper/test_modeling_flax_whisper.py/0 | {
"file_path": "transformers/tests/models/whisper/test_modeling_flax_whisper.py",
"repo_id": "transformers",
"token_count": 18549
} | 796 |
from unittest.mock import AsyncMock, MagicMock, patch
import numpy as np
import pytest
from llama_index.embeddings.huggingface.base import HuggingFaceInferenceAPIEmbedding
from llama_index.embeddings.huggingface.pooling import Pooling
STUB_MODEL_NAME = "placeholder_model"
@pytest.fixture(name="hf_inference_api_embe... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/tests/test_hf_inference.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/tests/test_hf_inference.py",
"repo_id": "llama_index",
"token_count": 1954
} | 1,365 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/convnext.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/convnext.md",
"repo_id": "transformers",
"token_count": 2141
} | 542 |
"""Use to load blobs from the local file system."""
from pathlib import Path
from typing import Callable, Iterable, Iterator, Optional, Sequence, TypeVar, Union
from langchain_community.document_loaders.blob_loaders.schema import Blob, BlobLoader
T = TypeVar("T")
def _make_iterator(
length_func: Callable[[], i... | langchain/libs/community/langchain_community/document_loaders/blob_loaders/file_system.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/blob_loaders/file_system.py",
"repo_id": "langchain",
"token_count": 2396
} | 245 |
# flake8: noqa
GET_ISSUES_PROMPT = """
This tool will fetch a list of the repository's issues. It will return the title, and issue number of 5 issues. It takes no input."""
GET_ISSUE_PROMPT = """
This tool will fetch the title, body, and comment thread of a specific issue. **VERY IMPORTANT**: You must specify the issu... | langchain/libs/community/langchain_community/tools/github/prompt.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/github/prompt.py",
"repo_id": "langchain",
"token_count": 1620
} | 302 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/speech_to_text/test_modeling_tf_speech_to_text.py/0 | {
"file_path": "transformers/tests/models/speech_to_text/test_modeling_tf_speech_to_text.py",
"repo_id": "transformers",
"token_count": 11904
} | 824 |
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