text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Loading methods
Methods for listing and loading datasets and metrics:
## Datasets
[[autodoc]] datasets.list_datasets
[[autodoc]] datasets.load_dataset
[[autodoc]] datasets.load_from_disk
[[autodoc]] datasets.load_dataset_builder
[[autodoc]] datasets.get_dataset_config_names
[[autodoc]] datasets.get_dataset_in... | datasets/docs/source/package_reference/loading_methods.mdx/0 | {
"file_path": "datasets/docs/source/package_reference/loading_methods.mdx",
"repo_id": "datasets",
"token_count": 809
} | 124 |
import { createClient } from "@vercel/kv";
import { VercelKVStore } from "@langchain/community/storage/vercel_kv";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
// Pro tip: define a helper function for getting your client
// along with handling the case where your environment variables
// are not... | langchainjs/examples/src/stores/vercel_kv_storage.ts/0 | {
"file_path": "langchainjs/examples/src/stores/vercel_kv_storage.ts",
"repo_id": "langchainjs",
"token_count": 823
} | 885 |
<!DOCTYPE html>
<html lang="en" class="h-full">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<meta name="theme-color" content="rgb(249, 250, 251)" />
<script>
if (
localStorage.theme === "dark" ||
(!("theme" in localStorage)... | chat-ui/src/app.html/0 | {
"file_path": "chat-ui/src/app.html",
"repo_id": "chat-ui",
"token_count": 677
} | 82 |
import json
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.graphql import GraphQLAPIWrapper
class BaseGraphQLTool(BaseTool):
"""Base tool for querying a GraphQL API."""
graphql_wrapper: ... | langchain/libs/community/langchain_community/tools/graphql/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/graphql/tool.py",
"repo_id": "langchain",
"token_count": 398
} | 302 |
# coding=utf-8
# Copyright 2022 LongT5 Authors and 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 require... | transformers/src/transformers/models/longt5/modeling_flax_longt5.py/0 | {
"file_path": "transformers/src/transformers/models/longt5/modeling_flax_longt5.py",
"repo_id": "transformers",
"token_count": 46153
} | 652 |
# Copyright 2022 The Music Spectrogram Diffusion Authors.
# Copyright 2024 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... | diffusers/src/diffusers/pipelines/deprecated/spectrogram_diffusion/notes_encoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/spectrogram_diffusion/notes_encoder.py",
"repo_id": "diffusers",
"token_count": 1254
} | 240 |
import ast
from typing import Any, List, Tuple
from langchain_community.document_loaders.parsers.language.code_segmenter import (
CodeSegmenter,
)
class PythonSegmenter(CodeSegmenter):
"""Code segmenter for `Python`."""
def __init__(self, code: str):
super().__init__(code)
self.source_li... | langchain/libs/community/langchain_community/document_loaders/parsers/language/python.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/language/python.py",
"repo_id": "langchain",
"token_count": 766
} | 240 |
import { BlobServiceClient } from "@azure/storage-blob";
import { Document } from "@langchain/core/documents";
import { AzureBlobStorageFileLoader } from "./azure_blob_storage_file.js";
import { BaseDocumentLoader } from "../base.js";
import { UnstructuredLoaderOptions } from "../fs/unstructured.js";
/**
* Interface ... | langchainjs/langchain/src/document_loaders/web/azure_blob_storage_container.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/azure_blob_storage_container.ts",
"repo_id": "langchainjs",
"token_count": 814
} | 975 |
# Copyright 2024 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... | diffusers/src/diffusers/pipelines/paint_by_example/image_encoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/paint_by_example/image_encoder.py",
"repo_id": "diffusers",
"token_count": 942
} | 247 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class SpectrogramDiffusionPipeline(metaclass=DummyObject):
_backends = ["transformers", "torch", "note_seq"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tr... | diffusers/src/diffusers/utils/dummy_transformers_and_torch_and_note_seq_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_transformers_and_torch_and_note_seq_objects.py",
"repo_id": "diffusers",
"token_count": 236
} | 281 |
"""Test TimescaleVector functionality."""
import os
from datetime import datetime, timedelta
from typing import List
from langchain_core.documents import Document
from langchain_community.vectorstores.timescalevector import TimescaleVector
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbedding... | langchain/libs/community/tests/integration_tests/vectorstores/test_timescalevector.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_timescalevector.py",
"repo_id": "langchain",
"token_count": 6305
} | 388 |
<!--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/ko/perf_infer_cpu.md/0 | {
"file_path": "transformers/docs/source/ko/perf_infer_cpu.md",
"repo_id": "transformers",
"token_count": 3075
} | 542 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.preprocess import PreprocessReader
def test_class():
names_of_base_classes = [b.__name__ for b in PreprocessReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-preprocess/tests/test_readers_preprocess.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-preprocess/tests/test_readers_preprocess.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,448 |
# LlamaIndex Llms Integration: Ai21
| llama_index/llama-index-integrations/llms/llama-index-llms-ai21/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ai21/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,341 |
"""**Evaluation** chains for grading LLM and Chain outputs.
This module contains off-the-shelf evaluation chains for grading the output of
LangChain primitives such as language models and chains.
**Loading an evaluator**
To load an evaluator, you can use the :func:`load_evaluators <langchain.evaluation.loading.load_... | langchain/libs/langchain/langchain/evaluation/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/__init__.py",
"repo_id": "langchain",
"token_count": 1907
} | 528 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["deepeval_callback_handler"]
contains_example = false
import_path = "llama_index.callbacks... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/pyproject.toml",
"repo_id": "llama_index",
"token_count": 653
} | 1,346 |
package rocksdbkv
import (
"runtime"
"github.com/tecbot/gorocksdb"
"github.com/milvus-io/milvus/pkg/log"
)
/**
* A wrapper of go rocksdb iterator
* it helps on 1) reserve the upperBound array to avoid garbage collection
* 2) do a leakage check of iterator
*/
type RocksIterator struct {
it *gorocksdb... | milvus/internal/kv/rocksdb/rocks_iterator.go/0 | {
"file_path": "milvus/internal/kv/rocksdb/rocks_iterator.go",
"repo_id": "milvus",
"token_count": 1273
} | 1,940 |
python_tests()
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,462 |
use serde::{Deserialize, Serialize};
use crate::normalizers::NormalizerWrapper;
use crate::tokenizer::{NormalizedString, Normalizer, Result};
use crate::utils::macro_rules_attribute;
#[derive(Clone, Deserialize, Debug, Serialize)]
#[serde(tag = "type")]
/// Allows concatenating multiple other Normalizer as a Sequence... | tokenizers/tokenizers/src/normalizers/utils.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/utils.rs",
"repo_id": "tokenizers",
"token_count": 478
} | 455 |
"""LanceDB vector store."""
import logging
from typing import Any, List, Optional
import numpy as np
from llama_index.core.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.core.vector_stores.types import (
MetadataFilters,
VectorStore,... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/llama_index/vector_stores/lancedb/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/llama_index/vector_stores/lancedb/base.py",
"repo_id": "llama_index",
"token_count": 3417
} | 1,608 |
# coding=utf-8
# Copyright 2018 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/models/gpt2/convert_gpt2_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/gpt2/convert_gpt2_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 937
} | 677 |
🤗 Tokenizers is tested on Python 3.5+.
You should install 🤗 Tokenizers in a
`virtual environment <https://docs.python.org/3/library/venv.html>`_. If you're unfamiliar with
Python virtual environments, check out the
`user guide <https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/>`__.
C... | tokenizers/docs/source/installation/python.inc/0 | {
"file_path": "tokenizers/docs/source/installation/python.inc",
"repo_id": "tokenizers",
"token_count": 384
} | 431 |
from langchain_community.tools.file_management.copy import CopyFileTool, FileCopyInput
__all__ = ["FileCopyInput", "CopyFileTool"]
| langchain/libs/langchain/langchain/tools/file_management/copy.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/file_management/copy.py",
"repo_id": "langchain",
"token_count": 38
} | 576 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# SearchApi tool
The `SearchApi` tool connects your agents and chains to the internet.
A wrapper around the Search API. This tool is handy when you need to answer questions about current events.
## Usage
Input should be a search query.... | langchainjs/docs/core_docs/docs/integrations/tools/searchapi.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/tools/searchapi.mdx",
"repo_id": "langchainjs",
"token_count": 191
} | 746 |
import { test, expect } from "@jest/globals";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import { ChatMessageHistory } from "@langchain/community/stores/message/in_memory";
import { BufferMemory } from "../buffer_memory.js";
test("Test buffer memory", async () => {
const memory = new BufferM... | langchainjs/langchain/src/memory/tests/buffer_memory.test.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/tests/buffer_memory.test.ts",
"repo_id": "langchainjs",
"token_count": 466
} | 934 |
# coding=utf-8
# Copyright 2022 Meta 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/esm/modeling_esm.py/0 | {
"file_path": "transformers/src/transformers/models/esm/modeling_esm.py",
"repo_id": "transformers",
"token_count": 23724
} | 661 |
from transformers import BertTokenizer
class CustomTokenizer(BertTokenizer):
pass
| transformers/utils/test_module/custom_tokenization.py/0 | {
"file_path": "transformers/utils/test_module/custom_tokenization.py",
"repo_id": "transformers",
"token_count": 25
} | 774 |
import { Serializable, SerializedConstructor } from "../load/serializable.js";
import type { StringWithAutocomplete } from "../utils/types.js";
export interface StoredMessageData {
content: string;
role: string | undefined;
name: string | undefined;
tool_call_id: string | undefined;
// eslint-disable-next-li... | langchainjs/langchain-core/src/messages/index.ts/0 | {
"file_path": "langchainjs/langchain-core/src/messages/index.ts",
"repo_id": "langchainjs",
"token_count": 7526
} | 863 |
# Contextual chunk headers
Consider a scenario where you want to store a large, arbitrary collection of documents in a vector store and perform Q&A tasks on them.
Simply splitting documents with overlapping text may not provide sufficient context for LLMs to determine if multiple chunks are referencing the same inform... | langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/contextual_chunk_headers.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/contextual_chunk_headers.mdx",
"repo_id": "langchainjs",
"token_count": 271
} | 808 |
import asyncio
import functools
import logging
from typing import Any, Callable, cast
from llama_index.core.callbacks.base import CallbackManager
logger = logging.getLogger(__name__)
def trace_method(
trace_id: str, callback_manager_attr: str = "callback_manager"
) -> Callable[[Callable], Callable]:
"""
... | llama_index/llama-index-core/llama_index/core/callbacks/utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/callbacks/utils.py",
"repo_id": "llama_index",
"token_count": 966
} | 1,248 |
---
sidebar_position: 3
---
# Comparison Evaluators
Comparison evaluators in LangChain help measure two different chains or LLM outputs. These evaluators are helpful for comparative analyses, such as A/B testing between two language models, or comparing different versions of the same model. They can also be useful fo... | langchain/docs/docs/guides/evaluation/comparison/index.mdx/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/comparison/index.mdx",
"repo_id": "langchain",
"token_count": 471
} | 87 |
from __future__ import annotations
from typing import Any, TypeVar
from langchain_core.exceptions import OutputParserException
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.prompts import BasePromptTemplate
from langchain.o... | langchain/libs/langchain/langchain/output_parsers/fix.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/fix.py",
"repo_id": "langchain",
"token_count": 1437
} | 528 |
from langchain_community.tools.office365.base import O365BaseTool
__all__ = ["O365BaseTool"]
| langchain/libs/langchain/langchain/tools/office365/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/office365/base.py",
"repo_id": "langchain",
"token_count": 30
} | 584 |
"""**LangChain Google Generative AI Integration**
This module integrates Google's Generative AI models, specifically the Gemini series, with the LangChain framework. It provides classes for interacting with chat models and generating embeddings, leveraging Google's advanced AI capabilities.
**Chat Models**
The `Chat... | langchain/libs/partners/google-genai/langchain_google_genai/__init__.py/0 | {
"file_path": "langchain/libs/partners/google-genai/langchain_google_genai/__init__.py",
"repo_id": "langchain",
"token_count": 653
} | 683 |
label: 'Safety'
| langchain/docs/docs/guides/safety/_category_.yml/0 | {
"file_path": "langchain/docs/docs/guides/safety/_category_.yml",
"repo_id": "langchain",
"token_count": 6
} | 96 |
<!--Copyright 2024 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... | diffusers/docs/source/en/using-diffusers/other-formats.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/other-formats.md",
"repo_id": "diffusers",
"token_count": 2824
} | 174 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: クイックツアー
- local: installation
title: インストール
title: Get started
- sections:
- local: pipeline_tutorial
title: パイプラインを使用して推論を実行する
- local: autoclass_tutorial
title: AutoClass を使用して移植可能なコードを作成する
- local: preproces... | transformers/docs/source/ja/_toctree.yml/0 | {
"file_path": "transformers/docs/source/ja/_toctree.yml",
"repo_id": "transformers",
"token_count": 5823
} | 534 |
# 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 applicabl... | accelerate/src/accelerate/utils/constants.py/0 | {
"file_path": "accelerate/src/accelerate/utils/constants.py",
"repo_id": "accelerate",
"token_count": 1118
} | 14 |
# coding=utf-8
# 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 r... | transformers/tests/test_pipeline_mixin.py/0 | {
"file_path": "transformers/tests/test_pipeline_mixin.py",
"repo_id": "transformers",
"token_count": 9643
} | 767 |
<!--Copyright 2024 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... | diffusers/docs/source/en/api/pipelines/dance_diffusion.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/dance_diffusion.md",
"repo_id": "diffusers",
"token_count": 369
} | 178 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/evaluation/benchmarks/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/evaluation/benchmarks/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,651 |
#!/bin/sh
set -e
if [[ "${MSYSTEM}" != "MINGW64" ]] ; then
echo non MINGW64, exit.
exit 1
fi
pacmanInstall()
{
pacman -S --noconfirm --needed \
git make tar dos2unix zip unzip patch \
mingw-w64-x86_64-toolchain \
mingw-w64-x86_64-make \
mingw-w64-x86_64-ccache \
mingw-w64-x86_64-cmake \... | milvus/scripts/install_deps_msys.sh/0 | {
"file_path": "milvus/scripts/install_deps_msys.sh",
"repo_id": "milvus",
"token_count": 448
} | 1,847 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import type { VectorStoreInterface } from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/documents";
import { ChainValues } from "@langchain/core/utils/types";
import { CallbackManagerForChainRun } from "@... | langchainjs/langchain/src/experimental/babyagi/agent.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/babyagi/agent.ts",
"repo_id": "langchainjs",
"token_count": 3767
} | 880 |
"""Init params."""
| llama_index/llama-index-core/llama_index/core/indices/common/struct_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/common/struct_store/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,174 |
reviewers:
- czs007
- xiaofan-luan
- scsven
approvers:
- maintainers
| milvus/docs/OWNERS/0 | {
"file_path": "milvus/docs/OWNERS",
"repo_id": "milvus",
"token_count": 36
} | 1,712 |
from langchain_community.tools.dataforseo_api_search.tool import (
DataForSeoAPISearchResults,
DataForSeoAPISearchRun,
)
"""DataForSeo API Toolkit."""
"""Tool for the DataForSeo SERP API."""
__all__ = ["DataForSeoAPISearchRun", "DataForSeoAPISearchResults"]
| langchain/libs/community/langchain_community/tools/dataforseo_api_search/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/dataforseo_api_search/__init__.py",
"repo_id": "langchain",
"token_count": 101
} | 283 |
nodeLinker: node-modules
plugins:
- path: .yarn/plugins/@yarnpkg/plugin-typescript.cjs
spec: "@yarnpkg/plugin-typescript"
yarnPath: .yarn/releases/yarn-3.4.1.cjs
| langchainjs/.yarnrc.yml/0 | {
"file_path": "langchainjs/.yarnrc.yml",
"repo_id": "langchainjs",
"token_count": 77
} | 762 |
"""Node recency post-processor."""
from datetime import datetime
from typing import List, Optional, Set
import numpy as np
import pandas as pd
# NOTE: currently not being used
# DEFAULT_INFER_RECENCY_TMPL = (
# "A question is provided.\n"
# "The goal is to determine whether the question requires finding the m... | llama_index/llama-index-core/llama_index/core/postprocessor/node_recency.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/postprocessor/node_recency.py",
"repo_id": "llama_index",
"token_count": 3037
} | 1,133 |
import { ChatOpenAI } from "@langchain/openai";
import { Redis } from "ioredis";
import { RedisCache } from "@langchain/community/caches/ioredis";
const client = new Redis("redis://localhost:6379");
const cache = new RedisCache(client, {
ttl: 60, // Optional key expiration value
});
const model = new ChatOpenAI({ ... | langchainjs/examples/src/cache/chat_models/redis.ts/0 | {
"file_path": "langchainjs/examples/src/cache/chat_models/redis.ts",
"repo_id": "langchainjs",
"token_count": 247
} | 771 |
python_tests()
| llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,264 |
// 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/storage/event_header.go/0 | {
"file_path": "milvus/internal/storage/event_header.go",
"repo_id": "milvus",
"token_count": 770
} | 2,009 |
#!/usr/bin/env bash
set -euxo pipefail
DIR=$1
for file in $DIR/*; do
if [[ $file == 'dist-esm/require.js' ]]; then
continue;
fi
node $file;
done
| langchainjs/environment_tests/test-exports-esbuild/entrypoint.sh/0 | {
"file_path": "langchainjs/environment_tests/test-exports-esbuild/entrypoint.sh",
"repo_id": "langchainjs",
"token_count": 69
} | 750 |
# Copyright 2024 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... | diffusers/src/diffusers/models/lora.py/0 | {
"file_path": "diffusers/src/diffusers/models/lora.py",
"repo_id": "diffusers",
"token_count": 7841
} | 236 |
[toolchain]
# Released on: 28 December, 2023
# Branched from master on: 10 November, 2023
# https://releases.rs/docs/1.75.0/
channel = "1.75.0"
components = ["rustfmt", "clippy"] | text-generation-inference/rust-toolchain.toml/0 | {
"file_path": "text-generation-inference/rust-toolchain.toml",
"repo_id": "text-generation-inference",
"token_count": 68
} | 412 |
from langchain.retrievers.pubmed import PubMedRetriever
__all__ = [
"PubMedRetriever",
]
| langchain/libs/langchain/langchain/retrievers/pupmed.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/pupmed.py",
"repo_id": "langchain",
"token_count": 36
} | 534 |
# coding=utf-8
# Copyright 2018 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/models/fsmt/convert_fsmt_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/fsmt/convert_fsmt_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4617
} | 645 |
// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of#iterating_over_async_generators
export async function* streamToAsyncIterable(
stream: ReadableStream<Uint8Array>
): AsyncIterableIterator<Uint8Array> {
const reader = stream.getReader();
try {
while (true) {
const { d... | chat-ui/src/lib/utils/streamToAsyncIterable.ts/0 | {
"file_path": "chat-ui/src/lib/utils/streamToAsyncIterable.ts",
"repo_id": "chat-ui",
"token_count": 161
} | 106 |
{
"initializer_range": 0.02,
"layer_norm_epsilon": 0.00001,
"n_embd": 768,
"n_head": 12,
"n_layer": 6,
"n_positions": 1024,
"vocab_size": 50257
} | transformers/examples/research_projects/distillation/training_configs/distilgpt2.json/0 | {
"file_path": "transformers/examples/research_projects/distillation/training_configs/distilgpt2.json",
"repo_id": "transformers",
"token_count": 79
} | 585 |
use crate::encodec_model;
use candle::{DType, Device, Result, Tensor, D};
use candle_nn::{
embedding, layer_norm, linear_no_bias, Activation, Embedding, LayerNorm, Linear, Module,
VarBuilder,
};
use candle_transformers::models::t5;
// https://github.com/huggingface/transformers/blob/cd4584e3c809bb9e1392ccd3fe3... | candle/candle-examples/examples/musicgen/musicgen_model.rs/0 | {
"file_path": "candle/candle-examples/examples/musicgen/musicgen_model.rs",
"repo_id": "candle",
"token_count": 7041
} | 42 |
import { calendar_v3 } from "googleapis";
import type { JWT } from "googleapis-common";
import { PromptTemplate } from "@langchain/core/prompts";
import { BaseLLM } from "@langchain/core/language_models/llms";
import { CallbackManagerForToolRun } from "@langchain/core/callbacks/manager";
import { StringOutputParser } f... | langchainjs/libs/langchain-community/src/tools/google_calendar/commands/run-view-events.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_calendar/commands/run-view-events.ts",
"repo_id": "langchainjs",
"token_count": 904
} | 1,015 |
"""Different methods for rendering Tools to be passed to LLMs.
Depending on the LLM you are using and the prompting strategy you are using,
you may want Tools to be rendered in a different way.
This module contains various ways to render tools.
"""
from typing import List
# For backwards compatibility
from langchain_... | langchain/libs/langchain/langchain/tools/render.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/render.py",
"repo_id": "langchain",
"token_count": 528
} | 559 |
"""Semantic embedding chunking agent pack.
Inspired by Greg Kamradt's text splitting notebook:
https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/5_Levels_Of_Text_Splitting.ipynb
We've ported over relevant code sections. Check out the original
notebook as well!
"""
import re
from typing import A... | llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/llama_index/packs/node_parser_semantic_chunking/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/llama_index/packs/node_parser_semantic_chunking/base.py",
"repo_id": "llama_index",
"token_count": 3203
} | 1,581 |
"""Utility functions for parsing an OpenAPI spec. Kept for backwards compat."""
from langchain_community.utilities.openapi import HTTPVerb, OpenAPISpec
__all__ = ["HTTPVerb", "OpenAPISpec"]
| langchain/libs/community/langchain_community/tools/openapi/utils/openapi_utils.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/openapi/utils/openapi_utils.py",
"repo_id": "langchain",
"token_count": 57
} | 315 |
CREATE EXTENSION IF NOT EXISTS vector;
| llama_index/llama-index-legacy/tests/initialization/postgres/postgres_init.sql/0 | {
"file_path": "llama_index/llama-index-legacy/tests/initialization/postgres/postgres_init.sql",
"repo_id": "llama_index",
"token_count": 13
} | 1,556 |
<!--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/main_classes/trainer.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/trainer.md",
"repo_id": "transformers",
"token_count": 689
} | 496 |
# coding=utf-8
# Copyright 2024 Harutatsu Akiyama, Jinbin Bai, and HuggingFace Inc.
#
# 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... | diffusers/tests/pipelines/controlnet/test_controlnet_inpaint_sdxl.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet/test_controlnet_inpaint_sdxl.py",
"repo_id": "diffusers",
"token_count": 5255
} | 269 |
use candle::{DType, Device, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::generation::LogitsProcessor;
use candle_transformers::models::blip;
use candle_transformers::models::quantized_blip;
use candle_wasm_example_blip::console_log;
use candle_wasm_example_blip::token_output_stream::TokenOutputStream;
u... | candle/candle-wasm-examples/blip/src/bin/m.rs/0 | {
"file_path": "candle/candle-wasm-examples/blip/src/bin/m.rs",
"repo_id": "candle",
"token_count": 2699
} | 81 |
from typing import Any, Dict, List, Union
from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import Pipeline, build_pipeline_init_args
if is_vision_available():
from ..image_utils import load_image
if is_torch_available():
import torch
... | transformers/src/transformers/pipelines/object_detection.py/0 | {
"file_path": "transformers/src/transformers/pipelines/object_detection.py",
"repo_id": "transformers",
"token_count": 3401
} | 686 |
from typing import Dict, Type
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.google import GoogleUnivSentEncoderEmbedding
from llama_index.legacy.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.legacy.embeddings.langchain import LangchainEmbedding
fr... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/loading.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/loading.py",
"repo_id": "llama_index",
"token_count": 709
} | 1,490 |
"""Test Base Retriever logic."""
from __future__ import annotations
from typing import Dict, List, Optional
import pytest
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.retrievers import BaseRetriever, Document
from tests.uni... | langchain/libs/community/tests/unit_tests/retrievers/test_base.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/retrievers/test_base.py",
"repo_id": "langchain",
"token_count": 3388
} | 379 |
import os
from configparser import ConfigParser, SectionProxy
from typing import Any, Type
from llama_index import (
LLMPredictor,
ServiceContext,
VectorStoreIndex,
)
from llama_index.embeddings.base import BaseEmbedding
from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.indices imp... | llama_index/experimental/cli/configuration.py/0 | {
"file_path": "llama_index/experimental/cli/configuration.py",
"repo_id": "llama_index",
"token_count": 1475
} | 1,155 |
# Two types of value-based methods [[two-types-value-based-methods]]
In value-based methods, **we learn a value function** that **maps a state to the expected value of being at that state.**
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit3/vbm-1.jpg" alt="Value ... | deep-rl-class/units/en/unit2/two-types-value-based-methods.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/two-types-value-based-methods.mdx",
"repo_id": "deep-rl-class",
"token_count": 1727
} | 163 |
import dataclasses
import logging
import os
from copy import deepcopy
from typing import Optional, Dict, Callable, Any, Tuple
from torch import nn as nn
from torch.hub import load_state_dict_from_url
from timm.models._features import FeatureListNet, FeatureHookNet
from timm.models._features_fx import FeatureGraphNet
... | pytorch-image-models/timm/models/_builder.py/0 | {
"file_path": "pytorch-image-models/timm/models/_builder.py",
"repo_id": "pytorch-image-models",
"token_count": 7677
} | 372 |
from __future__ import annotations
from abc import ABC, abstractmethod
from functools import lru_cache
from typing import (
TYPE_CHECKING,
Any,
List,
Optional,
Sequence,
Set,
TypeVar,
Union,
)
from typing_extensions import TypeAlias
from langchain_core._api import deprecated
from lang... | langchain/libs/core/langchain_core/language_models/base.py/0 | {
"file_path": "langchain/libs/core/langchain_core/language_models/base.py",
"repo_id": "langchain",
"token_count": 4072
} | 390 |
import os
import tempfile
from typing import Generator
import pytest
from langchain.storage.exceptions import InvalidKeyException
from langchain.storage.file_system import LocalFileStore
@pytest.fixture
def file_store() -> Generator[LocalFileStore, None, None]:
# Create a temporary directory for testing
wit... | langchain/libs/langchain/tests/unit_tests/storage/test_filesystem.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/storage/test_filesystem.py",
"repo_id": "langchain",
"token_count": 1221
} | 674 |
# 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/luke/test_modeling_luke.py/0 | {
"file_path": "transformers/tests/models/luke/test_modeling_luke.py",
"repo_id": "transformers",
"token_count": 17134
} | 719 |
package proxy
import (
"fmt"
"math"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/paramtable"
"github.com/milvus-io/mi... | milvus/internal/proxy/validate_util_test.go/0 | {
"file_path": "milvus/internal/proxy/validate_util_test.go",
"repo_id": "milvus",
"token_count": 40734
} | 1,836 |
from __future__ import annotations
from typing import TYPE_CHECKING, Iterable, List, Optional, Sequence
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import praw
def _dependable_praw_import() -> praw:
try:
import pr... | langchain/libs/community/langchain_community/document_loaders/reddit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/reddit.py",
"repo_id": "langchain",
"token_count": 2182
} | 248 |
package model
import "github.com/chroma/chroma-coordinator/internal/types"
type Tenant struct {
Name string
}
type CreateTenant struct {
Name string
Ts types.Timestamp
}
type GetTenant struct {
Name string
Ts types.Timestamp
}
| chroma/go/coordinator/internal/model/tenant.go/0 | {
"file_path": "chroma/go/coordinator/internal/model/tenant.go",
"repo_id": "chroma",
"token_count": 83
} | 53 |
import os
from pathlib import Path
from typing import List, Optional, Tuple
import requests
def get_file_content(url: str, path: str) -> Tuple[str, int]:
"""Get the content of a file from the GitHub REST API."""
resp = requests.get(url + path)
return resp.text, resp.status_code
def get_file_content_byt... | llama_index/llama-index-core/llama_index/core/download/utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/download/utils.py",
"repo_id": "llama_index",
"token_count": 1285
} | 1,143 |
"""Test dataset generation."""
from tempfile import TemporaryDirectory
from llama_index.legacy import SimpleDirectoryReader
from llama_index.legacy.extractors import (
QuestionsAnsweredExtractor,
TitleExtractor,
)
from llama_index.legacy.ingestion import IngestionPipeline
from llama_index.legacy.llms import M... | llama_index/llama-index-legacy/tests/extractors/test_metadata_extractor.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/extractors/test_metadata_extractor.py",
"repo_id": "llama_index",
"token_count": 1149
} | 1,548 |
ann_accuracy:
collections:
-
server:
cache_config.cpu_cache_capacity: 16
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu_resource_config.cache_capacity: 4
gpu_resource_config.search_resources:
... | milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_ann_debug.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_ann_debug.yaml",
"repo_id": "milvus",
"token_count": 403
} | 1,973 |
import { PDFLoader } from "langchain/document_loaders/fs/pdf";
export const run = async () => {
const loader = new PDFLoader("src/document_loaders/example_data/bitcoin.pdf");
const docs = await loader.load();
console.log({ docs });
};
| langchainjs/examples/src/document_loaders/pdf.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/pdf.ts",
"repo_id": "langchainjs",
"token_count": 78
} | 771 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["TextToImageToolSpec"]
contains_example = false
import_path = "llama_index.tools.text_to_i... | llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/pyproject.toml",
"repo_id": "llama_index",
"token_count": 674
} | 1,500 |
# Copyright 2024 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... | diffusers/src/diffusers/loaders/utils.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/utils.py",
"repo_id": "diffusers",
"token_count": 1031
} | 211 |
poetry_requirements(
name="poetry",
module_mapping={"llama-cpp-python": ["llama_cpp"]},
)
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/BUILD",
"repo_id": "llama_index",
"token_count": 42
} | 1,265 |
from __future__ import annotations
import logging
from typing import Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers.json import parse_json_markdown
from langchain.agents.agent import AgentOutputParser
lo... | langchain/libs/langchain/langchain/agents/output_parsers/json.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/output_parsers/json.py",
"repo_id": "langchain",
"token_count": 697
} | 488 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,428 |
from rag_vectara.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-vectara/rag_vectara/__init__.py/0 | {
"file_path": "langchain/templates/rag-vectara/rag_vectara/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 676 |
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import {
ChatPromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
import { ChatAnthropic } from "@langchain/anthropic";
import { RunnableWithMessageHistory } from "@langchain/core/runnables";
import { UpstashRedisChatMessageHistory } fr... | langchainjs/examples/src/guides/expression_language/message_history.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/message_history.ts",
"repo_id": "langchainjs",
"token_count": 561
} | 807 |
"""Base vector store index query."""
import asyncio
from typing import Any, Dict, List, Optional
from llama_index.core.base.base_multi_modal_retriever import (
MultiModalRetriever,
)
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks.base import CallbackManager
from ll... | llama_index/llama-index-core/llama_index/core/indices/multi_modal/retriever.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/multi_modal/retriever.py",
"repo_id": "llama_index",
"token_count": 7153
} | 1,265 |
// Copyright (C) 2019-2020 Zilliz. 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 l... | milvus/internal/core/unittest/test_utils/DataGen.h/0 | {
"file_path": "milvus/internal/core/unittest/test_utils/DataGen.h",
"repo_id": "milvus",
"token_count": 23509
} | 1,681 |
from pathlib import Path
import pytest
from langchain_community.document_loaders import (
TelegramChatApiLoader,
TelegramChatFileLoader,
)
def test_telegram_chat_file_loader() -> None:
"""Test TelegramChatFileLoader."""
file_path = Path(__file__).parent / "test_docs" / "telegram.json"
loader = T... | langchain/libs/community/tests/integration_tests/document_loaders/test_telegram.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_telegram.py",
"repo_id": "langchain",
"token_count": 522
} | 345 |
import json
import os
import re
from pathlib import Path
from typing import Dict, List, Tuple
mappings_path = os.path.join(os.path.dirname(__file__), "mappings.json")
def _parse_from_imports(
mappings: Dict[str, str],
installed_modules: List[str],
line_idx: int,
lines: List[str],
verbose: bool = ... | llama_index/llama-index-core/llama_index/core/command_line/upgrade.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/command_line/upgrade.py",
"repo_id": "llama_index",
"token_count": 4567
} | 1,204 |
// 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/pkg/eventlog/grpc.go/0 | {
"file_path": "milvus/pkg/eventlog/grpc.go",
"repo_id": "milvus",
"token_count": 1471
} | 1,950 |
from langchain_community.retrievers.remote_retriever import RemoteLangChainRetriever
__all__ = ["RemoteLangChainRetriever"]
| langchain/libs/langchain/langchain/retrievers/remote_retriever.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/remote_retriever.py",
"repo_id": "langchain",
"token_count": 39
} | 569 |
# coding=utf-8
# Copyright 2019 Facebook AI Research and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 Licens... | transformers/src/transformers/models/xlm_roberta/modeling_tf_xlm_roberta.py/0 | {
"file_path": "transformers/src/transformers/models/xlm_roberta/modeling_tf_xlm_roberta.py",
"repo_id": "transformers",
"token_count": 35223
} | 756 |
# DreamBooth training example
[DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few(3~5) images of a subject.
The `train_dreambooth.py` script shows how to implement the training procedure and adapt it for stable diffusion.
## Running local... | diffusers/examples/dreambooth/README.md/0 | {
"file_path": "diffusers/examples/dreambooth/README.md",
"repo_id": "diffusers",
"token_count": 9833
} | 209 |
import {
SFNClient as Client,
StartExecutionCommand as Invoker,
DescribeExecutionCommand as Describer,
SendTaskSuccessCommand as TaskSuccessSender,
} from "@aws-sdk/client-sfn";
import { Tool, ToolParams } from "@langchain/core/tools";
/**
* Interface for AWS Step Functions configuration.
*/
export interfac... | langchainjs/libs/langchain-community/src/tools/aws_sfn.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/aws_sfn.ts",
"repo_id": "langchainjs",
"token_count": 2270
} | 957 |
from langchain_community.llms.chatglm import ChatGLM
__all__ = ["ChatGLM"]
| langchain/libs/langchain/langchain/llms/chatglm.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/chatglm.py",
"repo_id": "langchain",
"token_count": 28
} | 511 |
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