text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, 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.or... | transformers/src/transformers/models/distilbert/configuration_distilbert.py/0 | {
"file_path": "transformers/src/transformers/models/distilbert/configuration_distilbert.py",
"repo_id": "transformers",
"token_count": 2693
} | 634 |
"""Test LLM reranker."""
from typing import Any, List
from unittest.mock import patch
from llama_index.core.llms.mock import MockLLM
from llama_index.core.postprocessor.llm_rerank import LLMRerank
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.schema import BaseNode, NodeWithScore, Quer... | llama_index/llama-index-core/tests/postprocessor/test_llm_rerank.py/0 | {
"file_path": "llama_index/llama-index-core/tests/postprocessor/test_llm_rerank.py",
"repo_id": "llama_index",
"token_count": 1085
} | 1,164 |
# coding=utf-8
# Copyright 2023 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/convnextv2/modeling_tf_convnextv2.py/0 | {
"file_path": "transformers/src/transformers/models/convnextv2/modeling_tf_convnextv2.py",
"repo_id": "transformers",
"token_count": 11969
} | 651 |
from langchain_community.agent_toolkits.playwright.toolkit import (
PlayWrightBrowserToolkit,
)
__all__ = ["PlayWrightBrowserToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/playwright/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/playwright/toolkit.py",
"repo_id": "langchain",
"token_count": 47
} | 437 |
# An Introduction to Unity ML-Agents [[introduction-to-ml-agents]]
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit7/thumbnail.png" alt="thumbnail"/>
One of the challenges in Reinforcement Learning is **creating environments**. Fortunately for us, we can use game... | deep-rl-class/units/en/unit5/introduction.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit5/introduction.mdx",
"repo_id": "deep-rl-class",
"token_count": 696
} | 156 |
use crate::{Error, Tensor};
use std::ops::{
Bound, Range, RangeBounds, RangeFrom, RangeFull, RangeInclusive, RangeTo, RangeToInclusive,
};
impl Tensor {
/// Intended to be use by the trait `.i()`
///
/// ```
/// # use candle_core::{Tensor, DType, Device, IndexOp};
/// let a = Tensor::zeros((2, ... | candle/candle-core/src/indexer.rs/0 | {
"file_path": "candle/candle-core/src/indexer.rs",
"repo_id": "candle",
"token_count": 2652
} | 39 |
import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage } from "@langchain/core/messages";
const chat = new ChatOpenAI({});
// Pass in a list of messages to `call` to start a conversation. In this simple example, we only pass in one message.
const response = await chat.call([
new HumanMessage(
"Wha... | langchainjs/examples/src/models/chat/chat_quick_start.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/chat_quick_start.ts",
"repo_id": "langchainjs",
"token_count": 135
} | 819 |
"""
Copyright © 2017 Marcel Dancak <dancakm@gmail.com>
This work is free. You can redistribute it and/or modify it under the
terms of the Do What The Fuck You Want To Public License, Version 2,
as published by Sam Hocevar. See the COPYING file for more details.
Adapted from https://github.com/marcel-dancak/lz-string-p... | langserve/langserve/lzstring.py/0 | {
"file_path": "langserve/langserve/lzstring.py",
"repo_id": "langserve",
"token_count": 7960
} | 1,043 |
#!/usr/bin/env python
# coding=utf-8
# Copyright The HuggingFace Team 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.ap... | transformers/examples/pytorch/translation/run_translation.py/0 | {
"file_path": "transformers/examples/pytorch/translation/run_translation.py",
"repo_id": "transformers",
"token_count": 12252
} | 556 |
from langchain_community.tools.gmail.create_draft import (
CreateDraftSchema,
GmailCreateDraft,
)
__all__ = ["CreateDraftSchema", "GmailCreateDraft"]
| langchain/libs/langchain/langchain/tools/gmail/create_draft.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/gmail/create_draft.py",
"repo_id": "langchain",
"token_count": 53
} | 551 |
from langchain_community.embeddings.azure_openai import AzureOpenAIEmbeddings
__all__ = ["AzureOpenAIEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/azure_openai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/azure_openai.py",
"repo_id": "langchain",
"token_count": 40
} | 530 |
from langchain_community.chat_models.jinachat import (
JinaChat,
)
__all__ = [
"JinaChat",
]
| langchain/libs/langchain/langchain/chat_models/jinachat.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/jinachat.py",
"repo_id": "langchain",
"token_count": 44
} | 471 |
# coding=utf-8
# Copyright 2024 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
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 6721
} | 289 |
from __future__ import annotations
import asyncio
import logging
import time
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Dict,
Iterator,
List,
Optional,
Tuple,
Union,
)
from langchain_core.agents import (
AgentAction,
AgentFinish,
AgentStep,
)
from langchain... | langchain/libs/langchain/langchain/agents/agent_iterator.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_iterator.py",
"repo_id": "langchain",
"token_count": 6930
} | 462 |
// 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/datacoord/compaction_trigger.go/0 | {
"file_path": "milvus/internal/datacoord/compaction_trigger.go",
"repo_id": "milvus",
"token_count": 12561
} | 1,961 |
# HRNet
**HRNet**, or **High-Resolution Net**, is a general purpose convolutional neural network for tasks like semantic segmentation, object detection and image classification. It is able to maintain high resolution representations through the whole process. We start from a high-resolution convolution stream, gradual... | pytorch-image-models/docs/models/hrnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/hrnet.md",
"repo_id": "pytorch-image-models",
"token_count": 5046
} | 353 |
---
sidebar_position: 0
---
# Text Splitters
Once you've loaded documents, you'll often want to transform them to better suit your application. The simplest example
is you may want to split a long document into smaller chunks that can fit into your model's context window. LangChain
has a number of built-in document t... | langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/index.mdx",
"repo_id": "langchainjs",
"token_count": 2248
} | 762 |
from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.utils import get_from_dict_or_env
from tenacity import (
before_sleep_log,
... | langchain/libs/community/langchain_community/embeddings/google_palm.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/google_palm.py",
"repo_id": "langchain",
"token_count": 1388
} | 257 |
use candle::{Result, Tensor};
pub struct Batcher<I> {
inner: I,
batch_size: usize,
return_last_incomplete_batch: bool,
}
impl<I> Batcher<I> {
fn new(inner: I) -> Self {
Self {
inner,
batch_size: 16,
return_last_incomplete_batch: false,
}
}
p... | candle/candle-datasets/src/batcher.rs/0 | {
"file_path": "candle/candle-datasets/src/batcher.rs",
"repo_id": "candle",
"token_count": 2660
} | 37 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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-... | transformers/examples/flax/language-modeling/run_mlm_flax.py/0 | {
"file_path": "transformers/examples/flax/language-modeling/run_mlm_flax.py",
"repo_id": "transformers",
"token_count": 17080
} | 513 |
// 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/datacoord/index_meta.go/0 | {
"file_path": "milvus/internal/datacoord/index_meta.go",
"repo_id": "milvus",
"token_count": 8658
} | 1,912 |
export { GenerativeAgentMemory } from "./generative_agent_memory.js";
export { GenerativeAgent } from "./generative_agent.js";
| langchainjs/langchain/src/experimental/generative_agents/index.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/generative_agents/index.ts",
"repo_id": "langchainjs",
"token_count": 37
} | 959 |
"""Query for KeywordTableIndex."""
import logging
from abc import abstractmethod
from collections import defaultdict
from typing import Any, Dict, List, Optional
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.indic... | llama_index/llama-index-legacy/llama_index/legacy/indices/keyword_table/retrievers.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/keyword_table/retrievers.py",
"repo_id": "llama_index",
"token_count": 2530
} | 1,715 |
// 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/local_chunk_manager_test.go/0 | {
"file_path": "milvus/internal/storage/local_chunk_manager_test.go",
"repo_id": "milvus",
"token_count": 7560
} | 1,793 |
[
{
"server": "idc-sh002",
"suite_params": [
{
"suite": "2_locust_search.yaml",
"image_type": "cpu"
}
]
}
] | milvus/tests/benchmark/milvus_benchmark/scheduler/locust_search.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/locust_search.json",
"repo_id": "milvus",
"token_count": 136
} | 1,860 |
compute_environment: LOCAL_MACHINE
debug: false
distributed_type: MULTI_GPU
downcast_bf16: 'no'
gpu_ids: all
machine_rank: 0
main_training_function: main
mixed_precision: 'bf16'
num_machines: 1
num_processes: 8
rdzv_backend: static
same_network: true
tpu_env: []
tpu_use_cluster: false
tpu_use_sudo: false
use_cpu: false... | trl/examples/accelerate_configs/multi_gpu.yaml/0 | {
"file_path": "trl/examples/accelerate_configs/multi_gpu.yaml",
"repo_id": "trl",
"token_count": 130
} | 780 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/metrics/squad_v2/squad_v2.py/0 | {
"file_path": "datasets/metrics/squad_v2/squad_v2.py",
"repo_id": "datasets",
"token_count": 2564
} | 136 |
# 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/bert/convert_bert_pytorch_checkpoint_to_original_tf.py/0 | {
"file_path": "transformers/src/transformers/models/bert/convert_bert_pytorch_checkpoint_to_original_tf.py",
"repo_id": "transformers",
"token_count": 1657
} | 605 |
import { test } from "@jest/globals";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { FakeRetriever } from "@langchain/core/utils/testing";
import { Document } from "@langchain/core/documents";
import { FakeListLLM } from "../../llms/fake.js";
import { createHistoryAwareRetriever } from "../histo... | langchainjs/langchain/src/chains/tests/history_aware_retriever.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/history_aware_retriever.test.ts",
"repo_id": "langchainjs",
"token_count": 379
} | 869 |
from __module_name__.chain import chain
__all__ = ["chain"]
| langchain/libs/cli/langchain_cli/package_template/package_template/__init__.py/0 | {
"file_path": "langchain/libs/cli/langchain_cli/package_template/package_template/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 219 |
import os
import pytest
from langchain_openai import OpenAIEmbeddings
os.environ["OPENAI_API_KEY"] = "foo"
def test_openai_invalid_model_kwargs() -> None:
with pytest.raises(ValueError):
OpenAIEmbeddings(model_kwargs={"model": "foo"})
def test_openai_incorrect_field() -> None:
with pytest.warns(m... | langchain/libs/partners/openai/tests/unit_tests/embeddings/test_base.py/0 | {
"file_path": "langchain/libs/partners/openai/tests/unit_tests/embeddings/test_base.py",
"repo_id": "langchain",
"token_count": 177
} | 654 |
from llama_index.vector_stores.txtai.base import TxtaiVectorStore
__all__ = ["TxtaiVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,498 |
{
"modelname": "BrandNewBERT",
"uppercase_modelname": "BRAND_NEW_BERT",
"lowercase_modelname": "brand_new_bert",
"camelcase_modelname": "BrandNewBert",
"authors": "The HuggingFace Team",
"checkpoint_identifier": "brand-new-bert-base-cased",
"tokenizer_type": ["Based on BERT", "Based on BART", "Standalone"... | transformers/templates/adding_a_new_model/cookiecutter.json/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter.json",
"repo_id": "transformers",
"token_count": 245
} | 695 |
# 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/examples/community/stable_diffusion_repaint.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_repaint.py",
"repo_id": "diffusers",
"token_count": 21143
} | 203 |
<!--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 to... | diffusers/docs/source/en/api/pipelines/kandinsky.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/kandinsky.md",
"repo_id": "diffusers",
"token_count": 850
} | 179 |
# coding=utf-8
# Copyright (c) 2021 THUML @ Tsinghua University
# Copyright 2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# 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 ... | transformers/src/transformers/models/autoformer/modeling_autoformer.py/0 | {
"file_path": "transformers/src/transformers/models/autoformer/modeling_autoformer.py",
"repo_id": "transformers",
"token_count": 44796
} | 582 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Using pipelines for a webserver
<Tip>
Creating an inference engine is a complex topic, and the "best" solution
will most likely depend on your pr... | transformers/docs/source/en/pipeline_webserver.md/0 | {
"file_path": "transformers/docs/source/en/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 1771
} | 472 |
from typing import Any, Dict, List, Tuple
from langchain_core.prompt_values import PromptValue
from langchain_core.prompts.base import BasePromptTemplate
from langchain_core.prompts.chat import BaseChatPromptTemplate
from langchain_core.pydantic_v1 import root_validator
def _get_inputs(inputs: dict, input_variables:... | langchain/libs/core/langchain_core/prompts/pipeline.py/0 | {
"file_path": "langchain/libs/core/langchain_core/prompts/pipeline.py",
"repo_id": "langchain",
"token_count": 977
} | 405 |
from typing import Any, Dict, List
from langchain_core.messages import BaseMessage, get_buffer_string
from langchain_core.pydantic_v1 import root_validator
from langchain.memory.chat_memory import BaseChatMemory
from langchain.memory.summary import SummarizerMixin
class ConversationSummaryBufferMemory(BaseChatMemor... | langchain/libs/langchain/langchain/memory/summary_buffer.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/summary_buffer.py",
"repo_id": "langchain",
"token_count": 1225
} | 572 |
#!/bin/bash
# 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 applica... | milvus/tests/scripts/uninstall_milvus.sh/0 | {
"file_path": "milvus/tests/scripts/uninstall_milvus.sh",
"repo_id": "milvus",
"token_count": 1357
} | 2,013 |
# coding=utf-8
# 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 requir... | transformers/tests/models/roberta_prelayernorm/test_modeling_tf_roberta_prelayernorm.py/0 | {
"file_path": "transformers/tests/models/roberta_prelayernorm/test_modeling_tf_roberta_prelayernorm.py",
"repo_id": "transformers",
"token_count": 12806
} | 819 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-fuzzy-citation/llama_index/packs/fuzzy_citation/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fuzzy-citation/llama_index/packs/fuzzy_citation/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,788 |
from langchain_ibm.llms import WatsonxLLM
__all__ = ["WatsonxLLM"]
| langchain/libs/partners/ibm/langchain_ibm/__init__.py/0 | {
"file_path": "langchain/libs/partners/ibm/langchain_ibm/__init__.py",
"repo_id": "langchain",
"token_count": 28
} | 655 |
"""
MangaDex info reader.
Retrieves data about a particular manga by title.
"""
import logging
from typing import List
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
logger = logging.getLogger(__name__)
class MangaDexReader(BaseReader):
def __... | llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/llama_index/readers/mangadex/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/llama_index/readers/mangadex/base.py",
"repo_id": "llama_index",
"token_count": 2297
} | 1,476 |
<!---
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 ... | transformers/docs/source/de/contributing.md/0 | {
"file_path": "transformers/docs/source/de/contributing.md",
"repo_id": "transformers",
"token_count": 8257
} | 489 |
import argparse
import sys
sys.path.append(".")
from base_classes import InpaintingBenchmark # noqa: E402
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--ckpt",
type=str,
default="runwayml/stable-diffusion-v1-5",
choices=[
"r... | diffusers/benchmarks/benchmark_sd_inpainting.py/0 | {
"file_path": "diffusers/benchmarks/benchmark_sd_inpainting.py",
"repo_id": "diffusers",
"token_count": 362
} | 179 |
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
export const run = async () => {
const text = `Hi.\n\nI'm Harrison.\n\nHow? Are? You?\nOkay then f f f f.
This is a weird text to write, but gotta test the splittingggg some how.\n\n
Bye!\n\n-H.`;
const splitter = new RecursiveCharac... | langchainjs/examples/src/indexes/recursive_text_splitter.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/recursive_text_splitter.ts",
"repo_id": "langchainjs",
"token_count": 166
} | 870 |
<jupyter_start><jupyter_text>Custom Agent with PlugIn RetrievalThis notebook combines two concepts in order to build a custom agent that can interact with AI Plugins:1. [Custom Agent with Tool Retrieval](/docs/modules/agents/how_to/custom_agent_with_tool_retrieval.html): This introduces the concept of retrieving many t... | langchain/cookbook/custom_agent_with_plugin_retrieval.ipynb/0 | {
"file_path": "langchain/cookbook/custom_agent_with_plugin_retrieval.ipynb",
"repo_id": "langchain",
"token_count": 3067
} | 70 |
<jupyter_start><jupyter_text>Google Drive>[Google Drive](https://en.wikipedia.org/wiki/Google_Drive) is a file storage and synchronization service developed by Google.This notebook covers how to load documents from `Google Drive`. Currently, only `Google Docs` are supported. Prerequisites1. Create a Google Cloud projec... | langchain/docs/docs/integrations/document_loaders/google_drive.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/google_drive.ipynb",
"repo_id": "langchain",
"token_count": 3765
} | 103 |
# Supabase (Postgres)
>[Supabase](https://supabase.com/docs) is an open-source `Firebase` alternative.
> `Supabase` is built on top of `PostgreSQL`, which offers strong `SQL`
> querying capabilities and enables a simple interface with already-existing tools and frameworks.
>[PostgreSQL](https://en.wikipedia.org/wik... | langchain/docs/docs/integrations/providers/supabase.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/supabase.mdx",
"repo_id": "langchain",
"token_count": 212
} | 149 |
# 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/pipelines/test_pipelines_summarization.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_summarization.py",
"repo_id": "transformers",
"token_count": 3529
} | 762 |
{
"imports": {
"http/": "https://deno.land/std@0.177.0/http/",
"@supabase/supabase-js": "https://esm.sh/@supabase/supabase-js@2.15.0",
"langchain/": "https://esm.sh/langchain@0.0.52/"
}
}
| langchain-template-supabase/supabase/functions/import_map.json/0 | {
"file_path": "langchain-template-supabase/supabase/functions/import_map.json",
"repo_id": "langchain-template-supabase",
"token_count": 101
} | 71 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,222 |
import json
import zipfile
from pathlib import Path
from typing import Dict, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class SlackDirectoryLoader(BaseLoader):
"""Load from a `Slack` directory dump."""
def __init__(self, zip... | langchain/libs/community/langchain_community/document_loaders/slack_directory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/slack_directory.py",
"repo_id": "langchain",
"token_count": 1860
} | 268 |
# Cloud storage
🤗 Datasets supports access to cloud storage providers through a `fsspec` FileSystem implementations.
You can save and load datasets from any cloud storage in a Pythonic way.
Take a look at the following table for some example of supported cloud storage providers:
| Storage provider | Filesystem i... | datasets/docs/source/filesystems.mdx/0 | {
"file_path": "datasets/docs/source/filesystems.mdx",
"repo_id": "datasets",
"token_count": 2640
} | 112 |
import { expect, test } from "@jest/globals";
import {
simpleValue,
complexValue,
GoogleVertexAIStream,
} from "../googlevertexai-connection.js";
describe("VertexAI Connection", () => {
describe("complexValue", () => {
test("int_val", () => {
const result = complexValue(1);
expect(result).toEqu... | langchainjs/langchain/src/util/tests/googlevertexai-connection.test.ts/0 | {
"file_path": "langchainjs/langchain/src/util/tests/googlevertexai-connection.test.ts",
"repo_id": "langchainjs",
"token_count": 5122
} | 979 |
// 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/accesslog/info_test.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/info_test.go",
"repo_id": "milvus",
"token_count": 1846
} | 1,811 |
from llama_index.postprocessor.rankgpt_rerank.base import RankGPTRerank
__all__ = ["RankGPTRerank"]
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/llama_index/postprocessor/rankgpt_rerank/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/llama_index/postprocessor/rankgpt_rerank/__init__.py",
"repo_id": "llama_index",
"token_count": 37
} | 1,355 |
from functools import update_wrapper, wraps
import torch
from torch import Tensor
from torch.optim.optimizer import Optimizer
try:
from torch.optim.optimizer import _use_grad_for_differentiable, _default_to_fused_or_foreach
has_recent_pt = True
except ImportError:
has_recent_pt = False
from typing import L... | pytorch-image-models/timm/optim/sgdw.py/0 | {
"file_path": "pytorch-image-models/timm/optim/sgdw.py",
"repo_id": "pytorch-image-models",
"token_count": 4501
} | 387 |
<jupyter_start><jupyter_code># Setup OpenAI Agent
import openai
openai.api_key = "sk-your-key"
from llama_index.agent import OpenAIAgent
# Import and initialize our tool spec
from llama_index.tools.notion.base import NotionToolSpec
notion_token = "secret_your-key"
tool_spec = NotionToolSpec(integration_token=notion_t... | llama_index/llama-index-integrations/tools/llama-index-tools-notion/examples/notion.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-notion/examples/notion.ipynb",
"repo_id": "llama_index",
"token_count": 360
} | 1,491 |
# Archived Changes
### Nov 22, 2021
* A number of updated weights anew new model defs
* `eca_halonext26ts` - 79.5 @ 256
* `resnet50_gn` (new) - 80.1 @ 224, 81.3 @ 288
* `resnet50` - 80.7 @ 224, 80.9 @ 288 (trained at 176, not replacing current a1 weights as default since these don't scale as well to higher res, ... | pytorch-image-models/docs/archived_changes.md/0 | {
"file_path": "pytorch-image-models/docs/archived_changes.md",
"repo_id": "pytorch-image-models",
"token_count": 9335
} | 333 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,866 |
use crate::decoders::Decoder;
use crate::encoding::{JsEncoding, JsTruncationDirection, JsTruncationStrategy};
use crate::models::Model;
use crate::normalizers::Normalizer;
use crate::pre_tokenizers::PreTokenizer;
use crate::processors::Processor;
use crate::tasks::tokenizer::{DecodeBatchTask, DecodeTask, EncodeBatchTas... | tokenizers/bindings/node/src/tokenizer.rs/0 | {
"file_path": "tokenizers/bindings/node/src/tokenizer.rs",
"repo_id": "tokenizers",
"token_count": 5701
} | 443 |
pub(crate) mod assignment_policy;
pub(crate) mod config;
mod rendezvous_hash;
| chroma/rust/worker/src/assignment/mod.rs/0 | {
"file_path": "chroma/rust/worker/src/assignment/mod.rs",
"repo_id": "chroma",
"token_count": 27
} | 60 |
import { OpenAIChat } from "@langchain/openai";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import type { Generation, LLMResult } from "@langchain/core/outputs";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { promptLayerTrackRequest } from "../util/prompt... | langchainjs/langchain/src/llms/openai-chat.ts/0 | {
"file_path": "langchainjs/langchain/src/llms/openai-chat.ts",
"repo_id": "langchainjs",
"token_count": 1052
} | 890 |
# ModelScope
>[ModelScope](https://www.modelscope.cn/home) is a big repository of the models and datasets.
This page covers how to use the modelscope ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific modelscope wrappers.
## Installation and Setup
Instal... | langchain/docs/docs/integrations/providers/modelscope.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/modelscope.mdx",
"repo_id": "langchain",
"token_count": 164
} | 152 |
import pytest
from langchain.prompts.few_shot import FewShotPromptTemplate
from langchain.pydantic_v1 import BaseModel
from langchain_community.chat_models import ChatOpenAI
from langchain_experimental.tabular_synthetic_data.base import SyntheticDataGenerator
from langchain_experimental.tabular_synthetic_data.openai i... | langchain/libs/experimental/tests/integration_tests/chains/test_synthetic_data_openai.py/0 | {
"file_path": "langchain/libs/experimental/tests/integration_tests/chains/test_synthetic_data_openai.py",
"repo_id": "langchain",
"token_count": 1335
} | 427 |
"""Eleven Labs Services Tools."""
from langchain_community.tools.eleven_labs.text2speech import ElevenLabsText2SpeechTool
__all__ = ["ElevenLabsText2SpeechTool"]
| langchain/libs/community/langchain_community/tools/eleven_labs/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/eleven_labs/__init__.py",
"repo_id": "langchain",
"token_count": 54
} | 285 |
@ECHO OFF
pushd %~dp0
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=.
set BUILDDIR=_build
%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
echo.installed, then set the ... | llama_index/docs/make.bat/0 | {
"file_path": "llama_index/docs/make.bat",
"repo_id": "llama_index",
"token_count": 317
} | 1,152 |
package deletebuffer
import (
"github.com/samber/lo"
"github.com/milvus-io/milvus/internal/storage"
)
// Item wraps cache item as `timed`.
type Item struct {
Ts uint64
Data []BufferItem
}
// Timestamp implements `timed`.
func (item *Item) Timestamp() uint64 {
return item.Ts
}
// Size implements `timed`.
fun... | milvus/internal/querynodev2/delegator/deletebuffer/delete_item.go/0 | {
"file_path": "milvus/internal/querynodev2/delegator/deletebuffer/delete_item.go",
"repo_id": "milvus",
"token_count": 304
} | 1,986 |
from llama_index.readers.youtube_transcript.base import YoutubeTranscriptReader
__all__ = ["YoutubeTranscriptReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/llama_index/readers/youtube_transcript/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/llama_index/readers/youtube_transcript/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,546 |
from langchain_community.chat_models.baidu_qianfan_endpoint import (
QianfanChatEndpoint,
)
__all__ = ["QianfanChatEndpoint"]
| langchain/libs/langchain/langchain/chat_models/baidu_qianfan_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/baidu_qianfan_endpoint.py",
"repo_id": "langchain",
"token_count": 49
} | 503 |
#!/usr/bin/env python
# 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... | diffusers/src/diffusers/commands/diffusers_cli.py/0 | {
"file_path": "diffusers/src/diffusers/commands/diffusers_cli.py",
"repo_id": "diffusers",
"token_count": 411
} | 238 |
<jupyter_start><jupyter_text>Human-in-the-loopIn this example we will build a chat executor that has a human in the loop. We will use the human to approve specific actions.This examples builds off the base chat executor. It is highly recommended you learn about that executor before going through this notebook. You can ... | langgraph/examples/chat_agent_executor_with_function_calling/human-in-the-loop.ipynb/0 | {
"file_path": "langgraph/examples/chat_agent_executor_with_function_calling/human-in-the-loop.ipynb",
"repo_id": "langgraph",
"token_count": 2937
} | 1,115 |
import time
import copy
import logging
from milvus_benchmark import parser
from milvus_benchmark.runners import utils
from milvus_benchmark.runners.base import BaseRunner
logger = logging.getLogger("milvus_benchmark.runners.get")
def get_ids(length, size):
ids_list = []
step = size // length
for i in ran... | milvus/tests/benchmark/milvus_benchmark/runners/get.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/get.py",
"repo_id": "milvus",
"token_count": 2127
} | 1,936 |
# 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/src/transformers/models/tvlt/feature_extraction_tvlt.py/0 | {
"file_path": "transformers/src/transformers/models/tvlt/feature_extraction_tvlt.py",
"repo_id": "transformers",
"token_count": 4436
} | 663 |
# 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_speech_to_text.py/0 | {
"file_path": "transformers/tests/models/speech_to_text/test_modeling_speech_to_text.py",
"repo_id": "transformers",
"token_count": 15739
} | 841 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, 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.or... | transformers/src/transformers/models/distilbert/modeling_distilbert.py/0 | {
"file_path": "transformers/src/transformers/models/distilbert/modeling_distilbert.py",
"repo_id": "transformers",
"token_count": 26578
} | 624 |
<jupyter_start><jupyter_text>Cassandra >[Apache Cassandra®](https://cassandra.apache.org) is a `NoSQL`, row-oriented, highly scalable and highly available database, well suited for storing large amounts of data.>`Cassandra` is a good choice for storing chat message history because it is easy to scale and can handle a l... | langchain/docs/docs/integrations/memory/cassandra_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/cassandra_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 949
} | 121 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/finetuning/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/finetuning/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,529 |
from langchain_community.tools.ainetwork.app import (
AINAppOps,
AppOperationType,
AppSchema,
)
__all__ = ["AppOperationType", "AppSchema", "AINAppOps"]
| langchain/libs/langchain/langchain/tools/ainetwork/app.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/ainetwork/app.py",
"repo_id": "langchain",
"token_count": 64
} | 569 |
export interface WebSocketConnection<
T extends Uint8Array | string = Uint8Array | string
> {
readable: ReadableStream<T>;
writable: WritableStream<T>;
protocol: string;
extensions: string;
}
export interface WebSocketCloseInfo {
code?: number;
reason?: string;
}
export interface WebSocketStreamOptions ... | langchainjs/libs/langchain-community/src/utils/iflytek_websocket_stream.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/iflytek_websocket_stream.ts",
"repo_id": "langchainjs",
"token_count": 1049
} | 990 |
# Metric Card for Google BLEU (GLEU)
## Metric Description
The BLEU score has some undesirable properties when used for single
sentences, as it was designed to be a corpus measure. The Google BLEU score, also known as GLEU score, is designed to limit these undesirable properties when used for single sentences.
To ca... | datasets/metrics/google_bleu/README.md/0 | {
"file_path": "datasets/metrics/google_bleu/README.md",
"repo_id": "datasets",
"token_count": 3361
} | 118 |
import type { BaseRetrieverInterface } from "@langchain/core/retrievers";
import {
type Runnable,
RunnableSequence,
type RunnableInterface,
RunnablePassthrough,
} from "@langchain/core/runnables";
import type { BaseMessage } from "@langchain/core/messages";
import type { DocumentInterface, Document } from "@lan... | langchainjs/langchain/src/chains/retrieval.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/retrieval.ts",
"repo_id": "langchainjs",
"token_count": 1280
} | 855 |
from langchain_community.llms.self_hosted_hugging_face import (
SelfHostedHuggingFaceLLM,
)
__all__ = [
"SelfHostedHuggingFaceLLM",
]
| langchain/libs/langchain/langchain/llms/self_hosted_hugging_face.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/self_hosted_hugging_face.py",
"repo_id": "langchain",
"token_count": 60
} | 542 |
"""Embeddings."""
import os
from typing import Any, List
from unittest.mock import patch
from llama_index.legacy.core.embeddings.base import SimilarityMode, mean_agg
from llama_index.legacy.embeddings.openai import OpenAIEmbedding
from tests.conftest import CachedOpenAIApiKeys
def mock_get_text_embedding(text: str... | llama_index/llama-index-legacy/tests/embeddings/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/embeddings/test_base.py",
"repo_id": "llama_index",
"token_count": 1667
} | 1,658 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,526 |
"""Wrapper around TileDB vector database."""
from __future__ import annotations
import pickle
import random
import sys
from typing import Any, Dict, Iterable, List, Mapping, Optional, Tuple
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain... | langchain/libs/community/langchain_community/vectorstores/tiledb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/tiledb.py",
"repo_id": "langchain",
"token_count": 14127
} | 320 |
python_sources()
| llama_index/llama-index-legacy/tests/mock_utils/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/mock_utils/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,748 |
import json
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
from langchain_communit... | langchain/libs/community/langchain_community/llms/huggingface_hub.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/huggingface_hub.py",
"repo_id": "langchain",
"token_count": 2262
} | 269 |
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator
class LlamaCppEmbeddings(BaseModel, Embeddings):
"""llama.cpp embedding models.
To use, you should have the llama-cpp-python library in... | langchain/libs/community/langchain_community/embeddings/llamacpp.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/llamacpp.py",
"repo_id": "langchain",
"token_count": 1749
} | 257 |
import asyncio
import uuid
from abc import abstractmethod
from typing import Callable, Dict, List, Optional, TypedDict, Union, cast
try:
from pydantic.v1 import BaseModel, Field, ValidationError # type: ignore[import]
except ImportError:
from pydantic import BaseModel, Field, ValidationError
from functools i... | langsmith-sdk/python/langsmith/evaluation/evaluator.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/evaluation/evaluator.py",
"repo_id": "langsmith-sdk",
"token_count": 2348
} | 1,048 |
"""Tests RocksetChatMessageHistory by creating a collection
for message history, adding to it, and clearing it.
To run these tests, make sure you have the ROCKSET_API_KEY
and ROCKSET_REGION environment variables set.
"""
import json
import os
from langchain_community.chat_message_histories import RocksetChatMessageH... | langchain/libs/langchain/tests/integration_tests/memory/test_rockset.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/memory/test_rockset.py",
"repo_id": "langchain",
"token_count": 810
} | 595 |
from pathlib import Path
from typing import Sequence, Union
import pytest
from langchain_community.document_loaders import (
AmazonTextractPDFLoader,
MathpixPDFLoader,
PDFMinerLoader,
PDFMinerPDFasHTMLLoader,
PyMuPDFLoader,
PyPDFium2Loader,
PyPDFLoader,
UnstructuredPDFLoader,
)
def t... | langchain/libs/community/tests/integration_tests/document_loaders/test_pdf.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_pdf.py",
"repo_id": "langchain",
"token_count": 3183
} | 326 |
# 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/segformer/test_modeling_segformer.py/0 | {
"file_path": "transformers/tests/models/segformer/test_modeling_segformer.py",
"repo_id": "transformers",
"token_count": 7796
} | 822 |
import logging
import re
from typing import List, Optional, Sequence, Union
from urllib.parse import urljoin, urlparse
logger = logging.getLogger(__name__)
PREFIXES_TO_IGNORE = ("javascript:", "mailto:", "#")
SUFFIXES_TO_IGNORE = (
".css",
".js",
".ico",
".png",
".jpg",
".jpeg",
".gif",
... | langchain/libs/core/langchain_core/utils/html.py/0 | {
"file_path": "langchain/libs/core/langchain_core/utils/html.py",
"repo_id": "langchain",
"token_count": 1593
} | 440 |
// 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/src/segcore/AckResponder.h/0 | {
"file_path": "milvus/internal/core/src/segcore/AckResponder.h",
"repo_id": "milvus",
"token_count": 967
} | 1,665 |
from llama_index.readers.feishu_docs.base import FeishuDocsReader
__all__ = ["FeishuDocsReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/llama_index/readers/feishu_docs/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/llama_index/readers/feishu_docs/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,313 |
import { NodeHandler, ASTParser } from "./base.js";
import { MemberExpressionType } from "./types.js";
/**
* Handles member expressions in the LangChain Expression Language (LCEL).
* Extends the NodeHandler base class.
*/
export class MemberExpressionHandler extends NodeHandler {
/**
* Checks if a given node i... | langchainjs/langchain/src/output_parsers/expression_type_handlers/member_expression_handler.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/member_expression_handler.ts",
"repo_id": "langchainjs",
"token_count": 817
} | 1,002 |
import * as fs from "node:fs";
import * as path from "node:path";
import * as os from "node:os";
import { BlobServiceClient } from "@azure/storage-blob";
import { BaseDocumentLoader } from "../base.js";
import {
UnstructuredLoader,
UnstructuredLoaderOptions,
} from "../fs/unstructured.js";
/**
* Interface represe... | langchainjs/langchain/src/document_loaders/web/azure_blob_storage_file.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/azure_blob_storage_file.ts",
"repo_id": "langchainjs",
"token_count": 1137
} | 947 |
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