text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_community.document_loaders.parsers.language.cobol import CobolSegmenter
__all__ = ["CobolSegmenter"]
| langchain/libs/langchain/langchain/document_loaders/parsers/language/cobol.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/language/cobol.py",
"repo_id": "langchain",
"token_count": 41
} | 521 |
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { AIMessage, BaseMessage, ChatMessage } from "@langchain/core/messages";
import { ChatGeneration, ChatResult } from "@langchain/core/outputs";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { IterableReadabl... | langchainjs/libs/langchain-community/src/chat_models/iflytek_xinghuo/common.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/iflytek_xinghuo/common.ts",
"repo_id": "langchainjs",
"token_count": 5105
} | 962 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class SemanticStableDiffusionPipelineOutput(BaseOutput):
"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.Image.Image... | diffusers/src/diffusers/pipelines/semantic_stable_diffusion/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/semantic_stable_diffusion/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 306
} | 255 |
import { OpenAI } from "@langchain/openai";
const model = new OpenAI({ temperature: 1 });
const resA = await model.call(
"What would be a good company name a company that makes colorful socks?",
{ timeout: 1000 } // 1s timeout
);
console.log({ resA });
// '\n\nSocktastic Colors' }
| langchainjs/examples/src/models/llm/llm_timeout.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm_timeout.ts",
"repo_id": "langchainjs",
"token_count": 91
} | 812 |
# 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_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 2242
} | 283 |
// 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/core/unittest/test_parquet_c.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_parquet_c.cpp",
"repo_id": "milvus",
"token_count": 7783
} | 1,757 |
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS, DEFAULT_TEMPERATURE
from llama_index.legacy.core.llms.types import ChatMessage, LLMMetadata
from llama_index.legacy.llms.everlyai_utils impor... | llama_index/llama-index-legacy/llama_index/legacy/llms/everlyai.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/everlyai.py",
"repo_id": "llama_index",
"token_count": 1152
} | 1,573 |
import { ChatOpenAI } from "@langchain/openai";
import { JsonOutputFunctionsParser } from "langchain/output_parsers";
import { HumanMessage } from "@langchain/core/messages";
// Instantiate the parser
const parser = new JsonOutputFunctionsParser();
// Define the function schema
const extractionFunctionSchema = {
na... | langchainjs/examples/src/prompts/json_structured_output_parser.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/json_structured_output_parser.ts",
"repo_id": "langchainjs",
"token_count": 523
} | 843 |
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
import requests
from langchain.schema import Document
from langchain.utils import get_from_env
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
def format_property_key(s: str) -> str:
words = s.split()
... | langchain/libs/experimental/langchain_experimental/graph_transformers/diffbot.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/graph_transformers/diffbot.py",
"repo_id": "langchain",
"token_count": 4916
} | 443 |
from langchain_core.retrievers import BaseRetriever
__all__ = ["BaseRetriever"]
| langchain/libs/langchain/langchain/schema/retriever.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/retriever.py",
"repo_id": "langchain",
"token_count": 27
} | 577 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/graphormer/test_modeling_graphormer.py/0 | {
"file_path": "transformers/tests/models/graphormer/test_modeling_graphormer.py",
"repo_id": "transformers",
"token_count": 45752
} | 803 |
from langchain_community.storage.upstash_redis import (
UpstashRedisByteStore,
UpstashRedisStore,
)
__all__ = ["UpstashRedisStore", "UpstashRedisByteStore"]
| langchain/libs/langchain/langchain/storage/upstash_redis.py/0 | {
"file_path": "langchain/libs/langchain/langchain/storage/upstash_redis.py",
"repo_id": "langchain",
"token_count": 65
} | 594 |
// Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_fwd_launch_template.h"
template<>
void run_mha_fwd_<cutlass::half_t, 64>(Flash_fwd_params ¶ms, cudaStream_t stream) {
... | candle/candle-flash-attn/kernels/flash_fwd_hdim64_fp16_sm80.cu/0 | {
"file_path": "candle/candle-flash-attn/kernels/flash_fwd_hdim64_fp16_sm80.cu",
"repo_id": "candle",
"token_count": 135
} | 55 |
import { readFileSync } from "fs";
const indexFilePath = "src/index.ts";
const packageJson = JSON.parse(readFileSync("package.json"));
let indexFileContent = readFileSync(indexFilePath, "utf-8");
const packageVersion = packageJson.version;
const indexVersion = indexFileContent.match(
/__version__\s*=\s*['"]([^'"]+)[... | langsmith-sdk/js/scripts/check-version.js/0 | {
"file_path": "langsmith-sdk/js/scripts/check-version.js",
"repo_id": "langsmith-sdk",
"token_count": 182
} | 1,045 |
<jupyter_start><jupyter_text>StackExchangeThis notebook goes over how to use the stack exchange component.All you need to do is install stackapi:1. pip install stackapi<jupyter_code>pip install stackapi
from langchain_community.utilities import StackExchangeAPIWrapper
stackexchange = StackExchangeAPIWrapper()
stackexch... | langchain/docs/docs/integrations/tools/stackexchange.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/stackexchange.ipynb",
"repo_id": "langchain",
"token_count": 119
} | 190 |
# Advantage Actor Critic (A2C) using Robotics Simulations with Panda-Gym 🤖 [[hands-on]]
<CourseFloatingBanner classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/notebooks/unit6/unit6.ip... | deep-rl-class/units/en/unit6/hands-on.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit6/hands-on.mdx",
"repo_id": "deep-rl-class",
"token_count": 4616
} | 162 |
<!--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/loading_adapters.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/loading_adapters.md",
"repo_id": "diffusers",
"token_count": 5789
} | 191 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/llama_index/readers/airbyte_shopify/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/llama_index/readers/airbyte_shopify/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,282 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-chroma/llama_index/readers/chroma/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chroma/llama_index/readers/chroma/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,331 |
import langchain
from langchain.agents import AgentExecutor, AgentType, initialize_agent
# agents and tools
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.base_language import BaseLanguageModel
# callback
from langchain.callbacks.base import BaseCallbackHandler, BaseCallbackManager
from l... | llama_index/llama-index-core/llama_index/core/bridge/langchain.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/bridge/langchain.py",
"repo_id": "llama_index",
"token_count": 969
} | 1,163 |
from langchain_community.graphs.nebula_graph import NebulaGraph
__all__ = ["NebulaGraph"]
| langchain/libs/langchain/langchain/graphs/nebula_graph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/nebula_graph.py",
"repo_id": "langchain",
"token_count": 30
} | 515 |
import { GithubRepoLoader } from "langchain/document_loaders/web/github";
export const run = async () => {
const loader = new GithubRepoLoader(
"https://github.com/langchain-ai/langchainjs",
{
branch: "main",
recursive: false,
unknown: "warn",
maxConcurrency: 5, // Defaults to 2
}... | langchainjs/examples/src/document_loaders/github.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/github.ts",
"repo_id": "langchainjs",
"token_count": 145
} | 808 |
package backend
import (
"encoding/binary"
"fmt"
"io"
"github.com/golang/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
)
type BackupFile []byte
func (f *BackupFile) Reset() {
*f = nil
}
func (f *BackupFile) writeBytes(bs []byte) {
*f = append(*f, bs...)
}
func (f *BackupFile) writ... | milvus/cmd/tools/migration/backend/backup_restore.go/0 | {
"file_path": "milvus/cmd/tools/migration/backend/backup_restore.go",
"repo_id": "milvus",
"token_count": 1418
} | 1,722 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Result;
use candle::{test_utils, DType, Device, Tensor};
use candle_nn::BatchNorm;
/* The test below has been generated using the following PyTorch code:
import torch
torch.manual_seed(19551105... | candle/candle-nn/tests/batch_norm.rs/0 | {
"file_path": "candle/candle-nn/tests/batch_norm.rs",
"repo_id": "candle",
"token_count": 2474
} | 69 |
import { type ClientOptions, OpenAIClient } from "@langchain/openai";
import { StructuredTool } from "@langchain/core/tools";
import { Runnable, RunnableConfig } from "@langchain/core/runnables";
import { formatToOpenAIAssistantTool } from "@langchain/openai";
import { sleep } from "../../util/time.js";
import type {
... | langchainjs/langchain/src/experimental/openai_assistant/index.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/openai_assistant/index.ts",
"repo_id": "langchainjs",
"token_count": 3954
} | 885 |
// An implementation of LLaMA https://github.com/facebookresearch/llama
//
// This is based on nanoGPT in a similar way to:
// https://github.com/Lightning-AI/lit-llama/blob/main/lit_llama/model.py
//
// The tokenizer config can be retrieved from:
// https://huggingface.co/hf-internal-testing/llama-tokenizer/raw/main/t... | candle/candle-examples/examples/llama/main.rs/0 | {
"file_path": "candle/candle-examples/examples/llama/main.rs",
"repo_id": "candle",
"token_count": 3059
} | 43 |
[theme]
inherit = basic
pygments_style = default
stylesheet = css/theme.css
[options]
link_to_live_contributing_page = false
mathjax_path =
| langchain/docs/api_reference/themes/scikit-learn-modern/theme.conf/0 | {
"file_path": "langchain/docs/api_reference/themes/scikit-learn-modern/theme.conf",
"repo_id": "langchain",
"token_count": 53
} | 86 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/llama_index/vector_stores/zep/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/llama_index/vector_stores/zep/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,501 |
// Jest Snapshot v1, https://goo.gl/fbAQLP
exports[`serialize + deserialize custom classes 1`] = `
"lc: 1
type: constructor
id:
- langchain
- tests
- Person
kwargs:
a_field: hello
api_key:
lc: 1
type: secret
id:
- PERSON_API_KEY
hello: 3
"
`;
exports[`serialize + deserialize custom class... | langchainjs/langchain/src/load/tests/__snapshots__/load.test.ts.snap/0 | {
"file_path": "langchainjs/langchain/src/load/tests/__snapshots__/load.test.ts.snap",
"repo_id": "langchainjs",
"token_count": 6926
} | 997 |
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.extractors.interface import BaseExtractor
from llama_index.core.schema import BaseNode
from llama_index.core.utils import get_tqdm_iterable
from nltk.tokenize... | llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/llama_index/extractors/entity/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/llama_index/extractors/entity/base.py",
"repo_id": "llama_index",
"token_count": 2376
} | 1,290 |
from langchain_community.embeddings.localai import (
LocalAIEmbeddings,
)
__all__ = [
"LocalAIEmbeddings",
]
| langchain/libs/langchain/langchain/embeddings/localai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/localai.py",
"repo_id": "langchain",
"token_count": 49
} | 499 |
# Metric Card for WikiSplit
## Metric description
WikiSplit is the combination of three metrics: [SARI](https://huggingface.co/metrics/sari), [exact match](https://huggingface.co/metrics/exact_match) and [SacreBLEU](https://huggingface.co/metrics/sacrebleu).
It can be used to evaluate the quality of sentence splitt... | datasets/metrics/wiki_split/README.md/0 | {
"file_path": "datasets/metrics/wiki_split/README.md",
"repo_id": "datasets",
"token_count": 1504
} | 137 |
# flake8: noqa
from langchain_core.prompts.prompt import PromptTemplate
_DEFAULT_ENTITY_EXTRACTION_TEMPLATE = """Extract all entities from the following text. As a guideline, a proper noun is generally capitalized. You should definitely extract all names and places.
Return the output as a single comma-separated list,... | langchain/libs/langchain/langchain/chains/graph_qa/prompts.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/prompts.py",
"repo_id": "langchain",
"token_count": 5073
} | 461 |
# Hands-on
Now that you learned the basics of multi-agents, you're ready to train your first agents in a multi-agent system: **a 2vs2 soccer team that needs to beat the opponent team**.
And you’re going to participate in AI vs. AI challenges where your trained agent will compete against other classmates’ **agents eve... | deep-rl-class/units/en/unit7/hands-on.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit7/hands-on.mdx",
"repo_id": "deep-rl-class",
"token_count": 5036
} | 170 |
from typing import Any, List
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import PrivateAttr
from elasticsearch import Elasticsearch
from elasticsearch.client import MlClient
class ElasticsearchEmbedding(BaseEmbedding):
"""Elasticsearch embedding models.
... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/llama_index/embeddings/elasticsearch/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/llama_index/embeddings/elasticsearch/base.py",
"repo_id": "llama_index",
"token_count": 2448
} | 1,272 |
/// Regression test for pth files not loading on Windows.
#[test]
fn test_pth() {
let tensors = candle_core::pickle::PthTensors::new("tests/test.pt", None).unwrap();
tensors.get("test").unwrap().unwrap();
}
#[test]
fn test_pth_with_key() {
let tensors =
candle_core::pickle::PthTensors::new("tests/t... | candle/candle-core/tests/pth_tests.rs/0 | {
"file_path": "candle/candle-core/tests/pth_tests.rs",
"repo_id": "candle",
"token_count": 440
} | 35 |
# TensorFlow Datasets
>[TensorFlow Datasets](https://www.tensorflow.org/datasets) is a collection of datasets ready to use,
> with TensorFlow or other Python ML frameworks, such as Jax. All datasets are exposed
> as [tf.data.Datasets](https://www.tensorflow.org/api_docs/python/tf/data/Dataset),
> enabling easy-to-u... | langchain/docs/docs/integrations/providers/tensorflow_datasets.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/tensorflow_datasets.mdx",
"repo_id": "langchain",
"token_count": 305
} | 147 |
from langchain.output_parsers.regex import RegexParser
def load_output_parser(config: dict) -> dict:
"""Load an output parser.
Args:
config: config dict
Returns:
config dict with output parser loaded
"""
if "output_parsers" in config:
if config["output_parsers"] is not No... | langchain/libs/langchain/langchain/output_parsers/loading.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/loading.py",
"repo_id": "langchain",
"token_count": 301
} | 574 |
<!--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/en/model_doc/realm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/realm.md",
"repo_id": "transformers",
"token_count": 926
} | 515 |
python_sources()
python_tests(
name="tests0",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-semanticscholar/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-semanticscholar/tests/BUILD",
"repo_id": "llama_index",
"token_count": 23
} | 1,378 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-slack/llama_index/tools/slack/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-slack/llama_index/tools/slack/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,529 |
import {
createClient,
RedisClientOptions,
RedisClientType,
RedisModules,
RedisFunctions,
RedisScripts,
} from "redis";
import { BaseListChatMessageHistory } from "@langchain/core/chat_history";
import {
BaseMessage,
mapChatMessagesToStoredMessages,
mapStoredMessagesToChatMessages,
} from "@langchain/... | langchainjs/libs/langchain-redis/src/chat_histories.ts/0 | {
"file_path": "langchainjs/libs/langchain-redis/src/chat_histories.ts",
"repo_id": "langchainjs",
"token_count": 1267
} | 1,042 |
//! The CIFAR-10 dataset.
//!
//! The files can be downloaded from the following page:
//! <https://www.cs.toronto.edu/~kriz/cifar.html>
//! The binary version of the dataset is used.
use crate::vision::Dataset;
use candle::{DType, Device, Error, Result, Tensor};
use hf_hub::{api::sync::Api, Repo, RepoType};
use parque... | candle/candle-datasets/src/vision/cifar.rs/0 | {
"file_path": "candle/candle-datasets/src/vision/cifar.rs",
"repo_id": "candle",
"token_count": 2139
} | 39 |
import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai";
import {
AIMessage,
HumanMessage,
SystemMessage,
} from "@langchain/core/messages";
// Or, if using the web entrypoint:
// import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai/web";
const example... | langchainjs/examples/src/models/chat/integration_googlevertexai-examples.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_googlevertexai-examples.ts",
"repo_id": "langchainjs",
"token_count": 252
} | 895 |
<jupyter_start><jupyter_text>Memory in LLMChainThis notebook goes over how to use the Memory class with an `LLMChain`. We will add the [ConversationBufferMemory](https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationBufferMemory.htmllangchain.memory.buffer.ConversationBufferMemory) clas... | langchain/docs/docs/modules/memory/adding_memory.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/memory/adding_memory.ipynb",
"repo_id": "langchain",
"token_count": 1385
} | 188 |
# coding=utf-8
# Copyright 2022 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/clipseg/processing_clipseg.py/0 | {
"file_path": "transformers/src/transformers/models/clipseg/processing_clipseg.py",
"repo_id": "transformers",
"token_count": 3092
} | 659 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/llama_index/readers/string_iterable/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/llama_index/readers/string_iterable/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,557 |
<jupyter_start><jupyter_text>JSONalyze Query Engine JSONalyze, or JSON Analyze Query Engine is designed to be wired typically after a calling(by agent, etc) of APIs, where we have the returned value as bulk instaces of rows, and the next step is to perform statistical analysis on the data.With JSONalyze, under the hood... | llama_index/docs/examples/query_engine/JSONalyze_query_engine.ipynb/0 | {
"file_path": "llama_index/docs/examples/query_engine/JSONalyze_query_engine.ipynb",
"repo_id": "llama_index",
"token_count": 4707
} | 1,075 |
[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 = ["LocalRAGCLIPack"]
contains_example = false
import_path = "llama_index.packs.rag_cli_local... | llama_index/llama-index-packs/llama-index-packs-rag-cli-local/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-cli-local/pyproject.toml",
"repo_id": "llama_index",
"token_count": 729
} | 1,600 |
/* eslint-disable import/first */
/* eslint-disable arrow-body-style */
import { z } from "zod";
import { DynamicStructuredTool } from "@langchain/core/tools";
const multiplyTool = new DynamicStructuredTool({
name: "multiply",
description: "Multiply two integers together.",
schema: z.object({
firstInt: z.nu... | langchainjs/examples/src/use_cases/tool_use/quickstart_chains.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/tool_use/quickstart_chains.ts",
"repo_id": "langchainjs",
"token_count": 586
} | 921 |
<!--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/loaders/textual_inversion.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/textual_inversion.md",
"repo_id": "diffusers",
"token_count": 340
} | 170 |
# Evaluation using Spider Text-to-SQL Dataset
We want to benchmark LlamaIndex's performance for complex queries on
multiple domains, and measure how each iteration of LLM improves its
Text-to-SQL capability, thus this project.
## Usage
1. Download [benchmark dataset](https://yale-lily.github.io/spider),
the downl... | llama_index/benchmarks/struct_indices/spider/README.md/0 | {
"file_path": "llama_index/benchmarks/struct_indices/spider/README.md",
"repo_id": "llama_index",
"token_count": 779
} | 1,027 |
"""OpenAI Image Generation tool sppec.."""
import base64
import os
import time
from typing import Optional
from llama_index.core.tools.tool_spec.base import BaseToolSpec
DEFAULT_CACHE_DIR = "../../../img_cache"
DEFAULT_SIZE = "1024x1024" # Dall-e-3 only supports 1024x1024
class OpenAIImageGenerationToolSpec(BaseT... | llama_index/llama-index-integrations/tools/llama-index-tools-openai/llama_index/tools/openai/image_generation/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openai/llama_index/tools/openai/image_generation/base.py",
"repo_id": "llama_index",
"token_count": 1232
} | 1,627 |
/* eslint-disable no-promise-executor-return */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { test } from "@jest/globals";
import { StringOutputParser } from "../../output_parsers/string.js";
import { FakeChatModel, FakeStreamingLLM } from "../../utils/testing/index.js";
test("Bind kwargs to a runna... | langchainjs/langchain-core/src/runnables/tests/runnable_binding.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable_binding.test.ts",
"repo_id": "langchainjs",
"token_count": 638
} | 858 |
pub mod bert;
pub mod roberta;
pub mod sequence;
pub mod template;
// Re-export these as processors
pub use super::pre_tokenizers::byte_level;
use serde::{Deserialize, Serialize};
use crate::pre_tokenizers::byte_level::ByteLevel;
use crate::processors::bert::BertProcessing;
use crate::processors::roberta::RobertaPro... | tokenizers/tokenizers/src/processors/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/processors/mod.rs",
"repo_id": "tokenizers",
"token_count": 1426
} | 469 |
from typing import List, Optional
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.query.query_transform.base import BaseQueryTransform
from llama_index.core.prompts.mixin import PromptMixinType
from llama_index.cor... | llama_index/llama-index-core/llama_index/core/retrievers/transform_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/retrievers/transform_retriever.py",
"repo_id": "llama_index",
"token_count": 581
} | 1,246 |
python_sources()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate-multi-modal/llama_index/multi_modal_llms/replicate_multi_modal/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate-multi-modal/llama_index/multi_modal_llms/replicate_multi_modal/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,384 |
# 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/dps_pipeline.py/0 | {
"file_path": "diffusers/examples/community/dps_pipeline.py",
"repo_id": "diffusers",
"token_count": 11140
} | 203 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-agent-search/llama_index/readers/agent_search/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-agent-search/llama_index/readers/agent_search/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,256 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/sari/sari.py/0 | {
"file_path": "datasets/metrics/sari/sari.py",
"repo_id": "datasets",
"token_count": 4913
} | 124 |
tab_spaces = 2
| tokenizers/bindings/node/rustfmt.toml/0 | {
"file_path": "tokenizers/bindings/node/rustfmt.toml",
"repo_id": "tokenizers",
"token_count": 7
} | 398 |
# Redis Ingestion Pipeline Pack
This LlamaPack creates an [ingestion pipeline](https://docs.llamaindex.ai/en/stable/module_guides/loading/ingestion_pipeline/root.html), with both a cache and vector store backed by Redis.
## CLI Usage
You can download llamapacks directly using `llamaindex-cli`, which comes installed ... | llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/README.md",
"repo_id": "llama_index",
"token_count": 610
} | 1,681 |
// 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/querycoordv2/services_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/services_test.go",
"repo_id": "milvus",
"token_count": 23214
} | 1,835 |
# Using LLMs as standalone modules
You can use our LLM modules on their own.
## Text Completion Example
```python
from llama_index.llms.openai import OpenAI
# non-streaming
resp = OpenAI().complete("Paul Graham is ")
print(resp)
# using streaming endpoint
from llama_index.llms.openai import OpenAI
llm = OpenAI()
... | llama_index/docs/module_guides/models/llms/usage_standalone.md/0 | {
"file_path": "llama_index/docs/module_guides/models/llms/usage_standalone.md",
"repo_id": "llama_index",
"token_count": 278
} | 1,123 |
from llama_index.multi_modal_llms.openai.base import OpenAIMultiModal
__all__ = ["OpenAIMultiModal"]
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/__init__.py",
"repo_id": "llama_index",
"token_count": 42
} | 1,312 |
import os
from operator import itemgetter
from typing import List, Tuple
from langchain.retrievers import SelfQueryRetriever
from langchain.schema import format_document
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorsto... | langchain/templates/rag-self-query/rag_self_query/chain.py/0 | {
"file_path": "langchain/templates/rag-self-query/rag_self_query/chain.py",
"repo_id": "langchain",
"token_count": 1231
} | 670 |
"""[DEPRECATED]
## Zapier Natural Language Actions API
\
Full docs here: https://nla.zapier.com/start/
**Zapier Natural Language Actions** gives you access to the 5k+ apps, 20k+ actions
on Zapier's platform through a natural language API interface.
NLA supports apps like Gmail, Salesforce, Trello, Slack, Asana, HubS... | langchain/libs/community/langchain_community/tools/zapier/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/zapier/tool.py",
"repo_id": "langchain",
"token_count": 3017
} | 319 |
import asyncio
import os
import shutil
from argparse import ArgumentParser
from glob import iglob
from pathlib import Path
from typing import Any, Callable, Dict, Optional, Union, cast
from llama_index.core import (
Response,
ServiceContext,
SimpleDirectoryReader,
VectorStoreIndex,
)
from llama_index.c... | llama_index/llama-index-core/llama_index/core/command_line/rag.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/command_line/rag.py",
"repo_id": "llama_index",
"token_count": 7518
} | 1,250 |
import os
from typing import Dict, List, Tuple, TypeVar, Union
T = TypeVar("T")
ListLike = Union[List[T], Tuple[T, ...]]
NestedDataStructureLike = Union[T, List[T], Dict[str, T]]
PathLike = Union[str, bytes, os.PathLike]
| datasets/src/datasets/utils/typing.py/0 | {
"file_path": "datasets/src/datasets/utils/typing.py",
"repo_id": "datasets",
"token_count": 84
} | 148 |
import string
from typing import Callable, Dict, Optional
def get_pseudoanonymizer_mapping(seed: Optional[int] = None) -> Dict[str, Callable]:
try:
from faker import Faker
except ImportError as e:
raise ImportError(
"Could not import faker, please install it with `pip install Faker... | langchain/libs/experimental/langchain_experimental/data_anonymizer/faker_presidio_mapping.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/data_anonymizer/faker_presidio_mapping.py",
"repo_id": "langchain",
"token_count": 1244
} | 460 |
# 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/models/bros/test_modeling_bros.py/0 | {
"file_path": "transformers/tests/models/bros/test_modeling_bros.py",
"repo_id": "transformers",
"token_count": 8384
} | 751 |
// 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/querynodev2/delegator/snapshot.go/0 | {
"file_path": "milvus/internal/querynodev2/delegator/snapshot.go",
"repo_id": "milvus",
"token_count": 1229
} | 1,987 |
[
{
"server": "eros",
"suite_params": [
{
"suite": "011_gpu_build_sift10m.yaml",
"image_type": "gpu"
}
]
}
] | milvus/tests/benchmark/milvus_benchmark/scheduler/011_data_gpu_build.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/011_data_gpu_build.json",
"repo_id": "milvus",
"token_count": 134
} | 1,994 |
package lock
import (
"sync"
"testing"
"time"
"github.com/stretchr/testify/assert"
)
func TestKeyLock(t *testing.T) {
keys := []string{"Milvus", "Blazing", "Fast"}
keyLock := NewKeyLock[string]()
keyLock.Lock(keys[0])
keyLock.Lock(keys[1])
keyLock.Lock(keys[2])
// should work
wg := sync.WaitGroup{}
wg... | milvus/pkg/util/lock/key_lock_test.go/0 | {
"file_path": "milvus/pkg/util/lock/key_lock_test.go",
"repo_id": "milvus",
"token_count": 521
} | 1,917 |
"""Unit tests for StreamlitChatMessageHistory functionality."""
import pytest
test_script = """
import json
import streamlit as st
from langchain.memory import ConversationBufferMemory
from langchain_community.chat_message_histories import StreamlitChatMessageHistory
from langchain_core.messages im... | langchain/libs/community/tests/integration_tests/chat_message_histories/test_streamlit.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_message_histories/test_streamlit.py",
"repo_id": "langchain",
"token_count": 819
} | 338 |
from langchain.schema.runnable import __all__
EXPECTED_ALL = [
"ConfigurableField",
"ConfigurableFieldSingleOption",
"ConfigurableFieldMultiOption",
"patch_config",
"RouterInput",
"RouterRunnable",
"Runnable",
"RunnableSerializable",
"RunnableBinding",
"RunnableBranch",
"Run... | langchain/libs/langchain/tests/unit_tests/schema/runnable/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/runnable/test_imports.py",
"repo_id": "langchain",
"token_count": 251
} | 633 |
package dao
import (
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/pingcap/log"
"go.uber.org/zap"
"gorm.io/gorm"
)
type databaseDb struct {
db *gorm.DB
}
var _ dbmodel.IDatabaseDb = &databaseDb{}
func (s *databaseDb) DeleteAll() error {
return s.db.Where("1 = 1").Delete(&dbm... | chroma/go/coordinator/internal/metastore/db/dao/database.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/db/dao/database.go",
"repo_id": "chroma",
"token_count": 427
} | 48 |
from pathlib import Path
from langchain.text_splitter import TokenTextSplitter
from langchain_community.document_loaders import TextLoader
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_community.vectorstores import Neo4jVector
txt_path = Path(__file__).parent / "dune.txt"
# Load t... | langchain/templates/neo4j-vector-memory/ingest.py/0 | {
"file_path": "langchain/templates/neo4j-vector-memory/ingest.py",
"repo_id": "langchain",
"token_count": 222
} | 660 |
label: 'Prompts'
position: 2 | langchainjs/docs/core_docs/docs/modules/experimental/prompts/_category_.yml/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/experimental/prompts/_category_.yml",
"repo_id": "langchainjs",
"token_count": 11
} | 813 |
<jupyter_start><jupyter_text>WebBaseLoaderThis covers how to use `WebBaseLoader` to load all text from `HTML` webpages into a document format that we can use downstream. For more custom logic for loading webpages look at some child class examples such as `IMSDbLoader`, `AZLyricsLoader`, and `CollegeConfidentialLoader`<... | langchain/docs/docs/integrations/document_loaders/web_base.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/web_base.ipynb",
"repo_id": "langchain",
"token_count": 1006
} | 124 |
"""Tencent Vector store index.
An index that is built with Tencent Vector Database.
"""
import json
from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import (
BaseNode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.legacy.vector_stores.types import (
V... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/tencentvectordb.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/tencentvectordb.py",
"repo_id": "llama_index",
"token_count": 8963
} | 1,788 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-firestore/llama_index/readers/firestore/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-firestore/llama_index/readers/firestore/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,373 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/llama_index/packs/deeplake_deepmemory_retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/llama_index/packs/deeplake_deepmemory_retriever/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,648 |
[
{
"server_tag": "16c32m0g",
"suite_params": [
{
"suite": "2_cpu_search.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/search2.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/search2.json",
"repo_id": "milvus",
"token_count": 139
} | 1,941 |
# Spotify Loader
This loader reads your Spotify account and loads saved albums, tracks, or playlists into `Documents`.
As a prerequisite, you will need to register with [Spotify for Developers](https://developer.spotify.com) and create an app in order to get a `client_id` and a `client_secret`. You should then set a ... | llama_index/llama-index-integrations/readers/llama-index-readers-spotify/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-spotify/README.md",
"repo_id": "llama_index",
"token_count": 486
} | 1,554 |
from llama_index.readers.string_iterable.base import StringIterableReader
__all__ = ["StringIterableReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/llama_index/readers/string_iterable/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/llama_index/readers/string_iterable/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,531 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/tools/llama-index-tools-google/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-google/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,481 |
from __future__ import annotations
import logging
from pathlib import Path
from typing import Any, Dict, Iterator, List, Optional, Union
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from langchain_c... | langchain/libs/community/langchain_community/llms/llamacpp.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/llamacpp.py",
"repo_id": "langchain",
"token_count": 5319
} | 270 |
"""Download loader from Llama Hub.
NOTE: using `download_loader` is now deprecated.
Please do `pip install llama-hub` instead.
"""
from typing import Optional, Type
from llama_index.legacy.download.module import (
LLAMA_HUB_URL,
MODULE_TYPE,
download_llama_module,
track_download,
)
from llama_index.... | llama_index/llama-index-legacy/llama_index/legacy/readers/download.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/download.py",
"repo_id": "llama_index",
"token_count": 784
} | 1,592 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/zh/main_classes/quantization.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/quantization.md",
"repo_id": "transformers",
"token_count": 14178
} | 512 |
<jupyter_start><jupyter_text>ClientClient code interacting with a server that implements: * custom streaming for an agent* agent with user selected toolsThis agent does not have memory! See other examples in LangServe to see how to add memory.**ATTENTION** We made the agent stream strings as an output. This is almost c... | langserve/examples/agent_custom_streaming/client.ipynb/0 | {
"file_path": "langserve/examples/agent_custom_streaming/client.ipynb",
"repo_id": "langserve",
"token_count": 955
} | 1,057 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,602 |
[
{
"suite_params": [
{
"suite": "shards_loop_stability.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/shards_stability.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/shards_stability.json",
"repo_id": "milvus",
"token_count": 120
} | 2,141 |
package planparserv2
//go:generate ./generate.sh
| milvus/internal/parser/planparserv2/generate.go/0 | {
"file_path": "milvus/internal/parser/planparserv2/generate.go",
"repo_id": "milvus",
"token_count": 19
} | 1,870 |
## IMDB MOVIE REVIEWS LOADER
This loader fetches all the reviews of a movie or a TV-series from IMDB official site. This loader is working on Windows machine and it requires further debug on Linux. Fixes are on the way
Install the required dependencies
```
pip install -r requirements.txt
```
The IMDB downloader tak... | llama_index/llama-index-integrations/readers/llama-index-readers-imdb-review/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-imdb-review/README.md",
"repo_id": "llama_index",
"token_count": 887
} | 1,382 |
<!--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/philosophy.md/0 | {
"file_path": "transformers/docs/source/en/philosophy.md",
"repo_id": "transformers",
"token_count": 1518
} | 477 |
# Discord
>[Discord](https://discord.com/) is a VoIP and instant messaging social platform. Users have the ability to communicate
> with voice calls, video calls, text messaging, media and files in private chats or as part of communities called
> "servers". A server is a collection of persistent chat rooms and voice... | langchain/docs/docs/integrations/providers/discord.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/discord.mdx",
"repo_id": "langchain",
"token_count": 263
} | 134 |
<jupyter_start><jupyter_text>iFixit>[iFixit](https://www.ifixit.com) is the largest, open repair community on the web. The site contains nearly 100k repair manuals, 200k Questions & Answers on 42k devices, and all the data is licensed under CC-BY-NC-SA 3.0.This loader will allow you to download the text of a repair gui... | langchain/docs/docs/integrations/document_loaders/ifixit.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/ifixit.ipynb",
"repo_id": "langchain",
"token_count": 420
} | 104 |
from typing import List
import pytest
from llama_index.legacy.schema import BaseNode, Document
from llama_index.legacy.storage.docstore.firestore_docstore import (
FirestoreDocumentStore,
)
from llama_index.legacy.storage.kvstore.firestore_kvstore import FirestoreKVStore
try:
from google.cloud import firestor... | llama_index/llama-index-legacy/tests/storage/docstore/test_firestore_docstore.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/docstore/test_firestore_docstore.py",
"repo_id": "llama_index",
"token_count": 1090
} | 1,649 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/clipseg/convert_clipseg_original_pytorch_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/clipseg/convert_clipseg_original_pytorch_to_hf.py",
"repo_id": "transformers",
"token_count": 4819
} | 578 |
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