text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# coding=utf-8
# Copyright 2022 Microsoft Research and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | transformers/src/transformers/models/x_clip/modeling_x_clip.py/0 | {
"file_path": "transformers/src/transformers/models/x_clip/modeling_x_clip.py",
"repo_id": "transformers",
"token_count": 30325
} | 742 |
# DeeBERT: Early Exiting for *BERT
This is the code base for the paper [DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference](https://www.aclweb.org/anthology/2020.acl-main.204/), modified from its [original code base](https://github.com/castorini/deebert).
The original code base also has information for do... | transformers/examples/research_projects/deebert/README.md/0 | {
"file_path": "transformers/examples/research_projects/deebert/README.md",
"repo_id": "transformers",
"token_count": 621
} | 582 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import weaviate, { ApiKey } from "weaviate-ts-client";
import { WeaviateStore } from "@langchain/weaviate";
import { OpenAIEmbeddings } from "@langchain/openai";
export async function run() {
// Something wrong with the weaviate-ts-client types, so we need to d... | langchainjs/examples/src/indexes/vector_stores/weaviate_fromTexts.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/weaviate_fromTexts.ts",
"repo_id": "langchainjs",
"token_count": 351
} | 855 |
import math
import os
import time
import itertools
import torch
import torch.distributed
import numpy as np
from loguru import logger
from dataclasses import dataclass
from opentelemetry import trace
from transformers import PreTrainedTokenizerBase
from typing import Optional, Tuple, List, Type, Dict
from text_gener... | text-generation-inference/server/text_generation_server/models/flash_causal_lm.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/flash_causal_lm.py",
"repo_id": "text-generation-inference",
"token_count": 23536
} | 429 |
<!--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/en/trainer.md/0 | {
"file_path": "transformers/docs/source/en/trainer.md",
"repo_id": "transformers",
"token_count": 5997
} | 531 |
"""LlamaPack class."""
from typing import Any, Dict, List
from llama_index.core import ServiceContext, VectorStoreIndex
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.c... | llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/llama_index/packs/ollama_query_engine/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/llama_index/packs/ollama_query_engine/base.py",
"repo_id": "llama_index",
"token_count": 2043
} | 1,666 |
// 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/src/storage/DiskFileManagerImpl.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/DiskFileManagerImpl.cpp",
"repo_id": "milvus",
"token_count": 14540
} | 1,743 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/adaption_prompt/layer.py/0 | {
"file_path": "peft/src/peft/tuners/adaption_prompt/layer.py",
"repo_id": "peft",
"token_count": 2240
} | 348 |
import { google, calendar_v3 } from "googleapis";
import type { JWT, GaxiosResponse } from "googleapis-common";
import { PromptTemplate } from "@langchain/core/prompts";
import { CallbackManagerForToolRun } from "@langchain/core/callbacks/manager";
import { BaseLLM } from "@langchain/core/language_models/llms";
import ... | langchainjs/libs/langchain-community/src/tools/google_calendar/commands/run-create-events.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_calendar/commands/run-create-events.ts",
"repo_id": "langchainjs",
"token_count": 1090
} | 1,040 |
from rewrite_retrieve_read.chain import chain
if __name__ == "__main__":
chain.invoke("man that sam bankman fried trial was crazy! what is langchain?")
| langchain/templates/rewrite-retrieve-read/main.py/0 | {
"file_path": "langchain/templates/rewrite-retrieve-read/main.py",
"repo_id": "langchain",
"token_count": 48
} | 697 |
import type * as tiktoken from "js-tiktoken";
import { Document, BaseDocumentTransformer } from "@langchain/core/documents";
import { getEncoding } from "@langchain/core/utils/tiktoken";
export interface TextSplitterParams {
chunkSize: number;
chunkOverlap: number;
keepSeparator: boolean;
lengthFunction?:
... | langchainjs/langchain/src/text_splitter.ts/0 | {
"file_path": "langchainjs/langchain/src/text_splitter.ts",
"repo_id": "langchainjs",
"token_count": 9391
} | 928 |
# Image Captioning (vision-encoder-text-decoder model) training example
The following example showcases how to finetune a vision-encoder-text-decoder model for image captioning
using the JAX/Flax backend, leveraging 🤗 Transformers library's [FlaxVisionEncoderDecoderModel](https://huggingface.co/docs/transformers/mode... | transformers/examples/flax/image-captioning/README.md/0 | {
"file_path": "transformers/examples/flax/image-captioning/README.md",
"repo_id": "transformers",
"token_count": 1079
} | 573 |
"""Use a single chain to route an input to one of multiple llm chains."""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import PromptTemplate
from langchain.chains import ConversationChain
from ... | langchain/libs/langchain/langchain/chains/router/multi_prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/router/multi_prompt.py",
"repo_id": "langchain",
"token_count": 890
} | 492 |
# coding=utf-8
# Copyright 2024 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/siglip/convert_siglip_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/siglip/convert_siglip_to_hf.py",
"repo_id": "transformers",
"token_count": 8771
} | 730 |
"""Callback Handler streams to stdout on new llm token."""
from langchain_core.callbacks import StreamingStdOutCallbackHandler
__all__ = ["StreamingStdOutCallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/streaming_stdout.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/streaming_stdout.py",
"repo_id": "langchain",
"token_count": 46
} | 450 |
from .agc import adaptive_clip_grad
from .checkpoint_saver import CheckpointSaver
from .clip_grad import dispatch_clip_grad
from .cuda import ApexScaler, NativeScaler
from .decay_batch import decay_batch_step, check_batch_size_retry
from .distributed import distribute_bn, reduce_tensor, init_distributed_device,\
wo... | pytorch-image-models/timm/utils/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/utils/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 252
} | 353 |
# Athena reader.
Athena reader allow execute SQL with AWS Athena. We using SQLAlchemy and PyAthena under the hood.
## Permissions
WE HIGHLY RECOMMEND USING THIS LOADER WITH AWS EC2 IAM ROLE.
## Usage
Here's an example usage of the AthenaReader.
```
import os
import dotenv
from llama_index import SQLDatabase,Servi... | llama_index/llama-index-integrations/readers/llama-index-readers-athena/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-athena/README.md",
"repo_id": "llama_index",
"token_count": 520
} | 1,334 |
export {
Agent,
type AgentArgs,
BaseSingleActionAgent,
BaseMultiActionAgent,
RunnableAgent,
LLMSingleActionAgent,
type LLMSingleActionAgentInput,
type OutputParserArgs,
} from "./agent.js";
export {
JsonToolkit,
OpenApiToolkit,
RequestsToolkit,
type VectorStoreInfo,
VectorStoreRouterToolkit,
... | langchainjs/langchain/src/agents/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/index.ts",
"repo_id": "langchainjs",
"token_count": 858
} | 850 |
import { Document } from "@langchain/core/documents";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { BaseDocumentLoader } from "../base.js";
const NOTION_BASE_URL = "https://api.notion.com/v1";
/**
* Interface representing the parameters for the NotionDBLoader class. It
* includes the ... | langchainjs/langchain/src/document_loaders/web/notiondb.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/notiondb.ts",
"repo_id": "langchainjs",
"token_count": 2891
} | 899 |
import argparse
import importlib
import inspect
import json
import logging
import os
import re
from pathlib import Path
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Base URL for all class documentation
_BASE_URL = "https://api.python.langchain.com/en/latest/"
# Regular expression to ... | langchain/docs/scripts/generate_api_reference_links.py/0 | {
"file_path": "langchain/docs/scripts/generate_api_reference_links.py",
"repo_id": "langchain",
"token_count": 2849
} | 202 |
from langchain_community.utilities.outline import (
OutlineAPIWrapper,
)
__all__ = ["OutlineAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/outline.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/outline.py",
"repo_id": "langchain",
"token_count": 39
} | 567 |
# How to propose a Flax/JAX + Transformers project
Great that you've opened this document!
While we at 🤗 are proposing a couple of projects, we strongly
believe that the community can come up with much more **creative**, **fun**, and
**impactful** projects on their own. This being said, we are really looking forw... | transformers/examples/research_projects/jax-projects/HOW_TO_PROPOSE_PROJECT.md/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/HOW_TO_PROPOSE_PROJECT.md",
"repo_id": "transformers",
"token_count": 2070
} | 587 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-salesforce/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-salesforce/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,495 |
# Copyright (c) Microsoft Corporation and HuggingFace
# Licensed under the MIT License.
from typing import Any, Dict, List, Mapping
import numpy as np
import torch
from ...utils import is_cython_available, requires_backends
if is_cython_available():
import pyximport
pyximport.install(setup_args={"include_... | transformers/src/transformers/models/graphormer/collating_graphormer.py/0 | {
"file_path": "transformers/src/transformers/models/graphormer/collating_graphormer.py",
"repo_id": "transformers",
"token_count": 2694
} | 616 |
reviewers:
- congqixia
approvers:
- maintainers
| milvus/internal/types/OWNERS/0 | {
"file_path": "milvus/internal/types/OWNERS",
"repo_id": "milvus",
"token_count": 22
} | 1,933 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_inpainting.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_inpainting.py",
"repo_id": "diffusers",
"token_count": 11058
} | 258 |
{
"textPrompt": {
"value": "What would be a good name for a company that makes {{30E275F8-0B60-4E71-843D-9865F4D4EFD4:product:}}?",
"variables": [
{
"variableId": "30E275F8-0B60-4E71-843D-9865F4D4EFD4",
"displayName": "product"
}
]
},
"runSettings": {
"temperature": 0.... | langchainjs/langchain/src/experimental/hubs/makersuite/tests/googlemakersuite-files/textPrompt.json/0 | {
"file_path": "langchainjs/langchain/src/experimental/hubs/makersuite/tests/googlemakersuite-files/textPrompt.json",
"repo_id": "langchainjs",
"token_count": 722
} | 896 |
package storage
import (
"fmt"
"testing"
"github.com/apache/arrow/go/v12/parquet/file"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
type ReadDataFromAllRowGroupsSuite struct {
suite.Suite
size int
logData []byte
reader *PayloadReader
}
func (s *ReadDataFro... | milvus/internal/storage/payload_reader_test.go/0 | {
"file_path": "milvus/internal/storage/payload_reader_test.go",
"repo_id": "milvus",
"token_count": 738
} | 1,794 |
from llama_index.packs.tables.chain_of_table.base import ChainOfTablePack
from llama_index.packs.tables.mix_self_consistency.base import MixSelfConsistencyPack
__all__ = ["ChainOfTablePack", "MixSelfConsistencyPack"]
| llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/__init__.py",
"repo_id": "llama_index",
"token_count": 72
} | 1,822 |
import json
from typing import Any, Callable, Dict, Optional
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
class GraphQLAPIWrapper(BaseModel):
"""Wrapper around GraphQL API.
To use, you should have the ``gql`` python package installed.
This wrapper will use the GraphQL API to c... | langchain/libs/community/langchain_community/utilities/graphql.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/graphql.py",
"repo_id": "langchain",
"token_count": 822
} | 301 |
<jupyter_start><jupyter_text>Ray Serve[Ray Serve](https://docs.ray.io/en/latest/serve/index.html) is a scalable model serving library for building online inference APIs. Serve is particularly well suited for system composition, enabling you to build a complex inference service consisting of multiple chains and business... | langchain/docs/docs/integrations/providers/ray_serve.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/ray_serve.ipynb",
"repo_id": "langchain",
"token_count": 1086
} | 147 |
# LlamaIndex Vector_Stores Integration: Tencentvectordb
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/README.md",
"repo_id": "llama_index",
"token_count": 17
} | 1,478 |
import logging
from datetime import datetime as dt
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_community.tools.slack.base import SlackBaseTool
from langchain_community.tools.slack.utils import U... | langchain/libs/community/langchain_community/tools/slack/schedule_message.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/slack/schedule_message.py",
"repo_id": "langchain",
"token_count": 796
} | 295 |
use clap::{Parser, ValueEnum};
use nix::sys::signal::{self, Signal};
use nix::unistd::Pid;
use serde::Deserialize;
use std::env;
use std::ffi::OsString;
use std::io::{BufRead, BufReader, Lines};
use std::os::unix::process::{CommandExt, ExitStatusExt};
use std::path::Path;
use std::process::{Child, Command, ExitStatus, ... | text-generation-inference/launcher/src/main.rs/0 | {
"file_path": "text-generation-inference/launcher/src/main.rs",
"repo_id": "text-generation-inference",
"token_count": 19919
} | 409 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/ia3/model.py/0 | {
"file_path": "peft/src/peft/tuners/ia3/model.py",
"repo_id": "peft",
"token_count": 7197
} | 318 |
"""
.. warning::
Beta Feature!
**Cache** provides an optional caching layer for LLMs.
Cache is useful for two reasons:
- It can save you money by reducing the number of API calls you make to the LLM
provider if you're often requesting the same completion multiple times.
- It can speed up your application by redu... | langchain/libs/community/langchain_community/cache.py/0 | {
"file_path": "langchain/libs/community/langchain_community/cache.py",
"repo_id": "langchain",
"token_count": 30860
} | 228 |
"""Test Alibaba Tongyi Chat Model."""
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langc... | langchain/libs/community/tests/integration_tests/chat_models/test_tongyi.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_tongyi.py",
"repo_id": "langchain",
"token_count": 1049
} | 320 |
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import {
LLM,
type BaseLLMCallOptions,
type BaseLLMParams,
} from "@langchain/core/language_models/llms";
import { GenerationChunk } from "@langchain/core/outputs";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
imp... | langchainjs/libs/langchain-community/src/llms/togetherai.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/togetherai.ts",
"repo_id": "langchainjs",
"token_count": 2890
} | 987 |
"""Test the cohere reranker."""
from langchain.retrievers.document_compressors.cohere_rerank import CohereRerank
def test_cohere_reranker_init() -> None:
"""Test the cohere reranker initializes correctly."""
CohereRerank()
| langchain/libs/langchain/tests/integration_tests/retrievers/document_compressors/test_cohere_reranker.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/retrievers/document_compressors/test_cohere_reranker.py",
"repo_id": "langchain",
"token_count": 82
} | 587 |
"""Test building the Zapier tool, not running it."""
from unittest.mock import MagicMock, patch
import pytest
import requests
from langchain_community.tools.zapier.prompt import BASE_ZAPIER_TOOL_PROMPT
from langchain_community.tools.zapier.tool import ZapierNLARunAction
from langchain_community.utilities.zapier impor... | langchain/libs/community/tests/unit_tests/tools/test_zapier.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/test_zapier.py",
"repo_id": "langchain",
"token_count": 4089
} | 405 |
# coding=utf-8
# 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 requir... | transformers/tests/models/camembert/test_modeling_tf_camembert.py/0 | {
"file_path": "transformers/tests/models/camembert/test_modeling_tf_camembert.py",
"repo_id": "transformers",
"token_count": 783
} | 804 |
import { ChatOpenAI } from "@langchain/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import { Calculator } from "langchain/tools/calculator";
import { BufferMemory } from "langchain/memory";
import { MessagesPlaceholder } from "@langchain/core/prompts";
export const run = async () => ... | langchainjs/examples/src/agents/structured_chat_with_memory.ts/0 | {
"file_path": "langchainjs/examples/src/agents/structured_chat_with_memory.ts",
"repo_id": "langchainjs",
"token_count": 403
} | 770 |
"""SQL Container builder."""
from typing import Any, Dict, List, Optional, Type
from llama_index.legacy.indices.base import BaseIndex
from llama_index.legacy.indices.common.struct_store.base import (
SQLDocumentContextBuilder,
)
from llama_index.legacy.indices.common.struct_store.schema import SQLContextContainer... | llama_index/llama-index-legacy/llama_index/legacy/indices/struct_store/container_builder.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/struct_store/container_builder.py",
"repo_id": "llama_index",
"token_count": 2413
} | 1,722 |
# coding=utf-8
# Copyright 2020 Google Research and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | transformers/src/transformers/models/tapas/configuration_tapas.py/0 | {
"file_path": "transformers/src/transformers/models/tapas/configuration_tapas.py",
"repo_id": "transformers",
"token_count": 4873
} | 753 |
from langchain_community.storage.redis import RedisStore
__all__ = ["RedisStore"]
| langchain/libs/langchain/langchain/storage/redis.py/0 | {
"file_path": "langchain/libs/langchain/langchain/storage/redis.py",
"repo_id": "langchain",
"token_count": 26
} | 545 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-s3/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-s3/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,472 |
from langchain_community.tools.metaphor_search.tool import MetaphorSearchResults
__all__ = ["MetaphorSearchResults"]
| langchain/libs/langchain/langchain/tools/metaphor_search/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/metaphor_search/tool.py",
"repo_id": "langchain",
"token_count": 35
} | 606 |
<!--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/schedulers/multistep_dpm_solver.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/multistep_dpm_solver.md",
"repo_id": "diffusers",
"token_count": 599
} | 192 |
"""monday.com reader."""
from typing import Dict, List
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class MondayReader(BaseReader):
"""monday.com reader. Reads board's data by a GraphQL query.
Args:
api_key (str): monday.com API ke... | llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/llama_index/readers/mondaydotcom/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/llama_index/readers/mondaydotcom/base.py",
"repo_id": "llama_index",
"token_count": 1381
} | 1,405 |
import { awaitAllCallbacks } from "@langchain/core/callbacks/promises";
afterAll(awaitAllCallbacks);
| langchainjs/libs/langchain-openai/scripts/jest-setup-after-env.js/0 | {
"file_path": "langchainjs/libs/langchain-openai/scripts/jest-setup-after-env.js",
"repo_id": "langchainjs",
"token_count": 32
} | 1,104 |
from llama_index.llms.nvidia_triton.base import NvidiaTriton
__all__ = ["NvidiaTriton"]
| llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-triton/llama_index/llms/nvidia_triton/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-triton/llama_index/llms/nvidia_triton/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,307 |
from typing import TYPE_CHECKING, Optional, Type
from langchain_core.callbacks import (
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
if TYPE_CHECKING:
# This is for linting and IDE typehints
import multion
else:
try:
... | langchain/libs/community/langchain_community/tools/multion/create_session.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/multion/create_session.py",
"repo_id": "langchain",
"token_count": 829
} | 288 |
package storage
import (
"context"
"github.com/cockroachdb/errors"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
type ChunkManagerFactory struct {
persistentStorage string
config *config
}
func NewChunkManagerFactoryWithParam(params *paramtable.ComponentParam) *ChunkManagerFactory {
if param... | milvus/internal/storage/factory.go/0 | {
"file_path": "milvus/internal/storage/factory.go",
"repo_id": "milvus",
"token_count": 777
} | 1,792 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/altclip.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/altclip.md",
"repo_id": "transformers",
"token_count": 2400
} | 516 |
# Adversarial Inception v3
**Inception v3** is a convolutional neural network architecture from the Inception family that makes several improvements including using [Label Smoothing](https://paperswithcode.com/method/label-smoothing), Factorized 7 x 7 convolutions, and the use of an [auxiliary classifer](https://paper... | pytorch-image-models/hfdocs/source/models/adversarial-inception-v3.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/adversarial-inception-v3.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2247
} | 359 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/interceptor/cluster_interceptor_test.go/0 | {
"file_path": "milvus/pkg/util/interceptor/cluster_interceptor_test.go",
"repo_id": "milvus",
"token_count": 1649
} | 1,973 |
{
"name": "@langchain/anthropic",
"version": "0.0.10",
"description": "Anthropic integrations for LangChain.js",
"type": "module",
"engines": {
"node": ">=18"
},
"main": "./index.js",
"types": "./index.d.ts",
"repository": {
"type": "git",
"url": "git@github.com:langchain-ai/langchainjs.gi... | langchainjs/libs/langchain-anthropic/package.json/0 | {
"file_path": "langchainjs/libs/langchain-anthropic/package.json",
"repo_id": "langchainjs",
"token_count": 1690
} | 987 |
# Xata
[Xata](https://xata.io) is a serverless data platform, based on PostgreSQL. It provides a type-safe TypeScript/JavaScript SDK for interacting with your database, and a UI for managing your data.
Xata has a native vector type, which can be added to any table, and supports similarity search. LangChain inserts ve... | langchainjs/docs/core_docs/docs/integrations/vectorstores/xata.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/xata.mdx",
"repo_id": "langchainjs",
"token_count": 748
} | 777 |
#!/usr/bin/env python
# coding: utf-8
# 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/LICENS... | transformers/scripts/fsmt/fsmt-make-tiny-model.py/0 | {
"file_path": "transformers/scripts/fsmt/fsmt-make-tiny-model.py",
"repo_id": "transformers",
"token_count": 704
} | 587 |
# Index Stores
Index stores contains lightweight index metadata (i.e. additional state information created when building an index).
See the [API Reference](/api_reference/storage/index_store.rst) for more details.
### Simple Index Store
By default, LlamaIndex uses a simple index store backed by an in-memory key-val... | llama_index/docs/module_guides/storing/index_stores.md/0 | {
"file_path": "llama_index/docs/module_guides/storing/index_stores.md",
"repo_id": "llama_index",
"token_count": 890
} | 1,232 |
# Git
>[Git](https://en.wikipedia.org/wiki/Git) is a distributed version control system that tracks changes in any set of computer files, usually used for coordinating work among programmers collaboratively developing source code during software development.
## Installation and Setup
First, you need to install `GitP... | langchain/docs/docs/integrations/providers/git.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/git.mdx",
"repo_id": "langchain",
"token_count": 139
} | 136 |
from typing import Any, Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class GeoDataFrameLoader(BaseLoader):
"""Load `geopandas` Dataframe."""
def __init__(self, data_frame: Any, page_content_column: str = "geometry"):
"... | langchain/libs/community/langchain_community/document_loaders/geodataframe.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/geodataframe.py",
"repo_id": "langchain",
"token_count": 1126
} | 232 |
# 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 applicabl... | trl/trl/trainer/iterative_sft_trainer.py/0 | {
"file_path": "trl/trl/trainer/iterative_sft_trainer.py",
"repo_id": "trl",
"token_count": 7430
} | 865 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/unets/unet_kandinsky3.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_kandinsky3.py",
"repo_id": "diffusers",
"token_count": 9647
} | 216 |
from langchain_community.document_loaders import BiliBiliLoader
def test_bilibili_loader() -> None:
"""Test Bilibili Loader."""
loader = BiliBiliLoader(
[
"https://www.bilibili.com/video/BV1xt411o7Xu/",
"https://www.bilibili.com/video/av330407025/",
]
)
docs = l... | langchain/libs/community/tests/integration_tests/document_loaders/test_bilibili.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_bilibili.py",
"repo_id": "langchain",
"token_count": 243
} | 322 |
import warnings
from diffusers import StableDiffusionImg2ImgPipeline # noqa F401
warnings.warn(
"The `image_to_image.py` script is outdated. Please use directly `from diffusers import"
" StableDiffusionImg2ImgPipeline` instead."
)
| diffusers/examples/inference/image_to_image.py/0 | {
"file_path": "diffusers/examples/inference/image_to_image.py",
"repo_id": "diffusers",
"token_count": 84
} | 193 |
from llama_index.readers.file.paged_csv.base import (
PagedCSVReader,
)
__all__ = ["PagedCSVReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/paged_csv/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/paged_csv/__init__.py",
"repo_id": "llama_index",
"token_count": 45
} | 1,439 |
# LlamaHub
Our data connectors are offered through [LlamaHub](https://llamahub.ai/) 🦙.
LlamaHub contains a registry of open-source data connectors that you can easily plug into any LlamaIndex application (+ Agent Tools, and Llama Packs).
## Usage Pattern
Get started with:... | llama_index/docs/understanding/loading/llamahub.md/0 | {
"file_path": "llama_index/docs/understanding/loading/llamahub.md",
"repo_id": "llama_index",
"token_count": 468
} | 1,235 |
# coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_mixtral_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_mixtral_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 14039
} | 440 |
# serializer version: 1
# name: test_person
'''
{
"lc": 1,
"type": "constructor",
"id": [
"tests",
"unit_tests",
"load",
"test_dump",
"Person"
],
"kwargs": {
"secret": {
"lc": 1,
"type": "secret",
"id": [
"SECRET"
]
... | langchain/libs/langchain/tests/unit_tests/load/__snapshots__/test_dump.ambr/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/load/__snapshots__/test_dump.ambr",
"repo_id": "langchain",
"token_count": 3462
} | 642 |
package funcutil
/*
type aggFunc[T constraints.Ordered] func(t1, t2 T) T
func agg[T constraints.Ordered](op aggFunc[T], s ...T) T {
l := len(s)
if l <= 0 {
var zero T
return zero
}
m := s[0]
for i := 1; i < l; i++ {
m = op(s[i], m)
}
return m
}
func getMin[T constraints.Ordered](t1, t2 T) T {
if t1 < t... | milvus/pkg/util/funcutil/aggregation.go/0 | {
"file_path": "milvus/pkg/util/funcutil/aggregation.go",
"repo_id": "milvus",
"token_count": 352
} | 2,050 |
"""Azure Cognitive Services Tools."""
from langchain_community.tools.azure_cognitive_services.form_recognizer import (
AzureCogsFormRecognizerTool,
)
from langchain_community.tools.azure_cognitive_services.image_analysis import (
AzureCogsImageAnalysisTool,
)
from langchain_community.tools.azure_cognitive_serv... | langchain/libs/community/langchain_community/tools/azure_cognitive_services/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/azure_cognitive_services/__init__.py",
"repo_id": "langchain",
"token_count": 279
} | 278 |
import {
Client as PlanetScaleClient,
Config as PlanetScaleConfig,
Connection as PlanetScaleConnection,
} from "@planetscale/database";
import { BaseListChatMessageHistory } from "@langchain/core/chat_history";
import {
BaseMessage,
StoredMessage,
StoredMessageData,
mapChatMessagesToStoredMessages,
mapS... | langchainjs/libs/langchain-community/src/stores/message/planetscale.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/stores/message/planetscale.ts",
"repo_id": "langchainjs",
"token_count": 2042
} | 1,011 |
use std::collections::LinkedList;
use tantivy::{
collector::{Collector, SegmentCollector},
DocId,
};
pub struct LinkedListCollector;
impl Collector for LinkedListCollector {
type Fruit = LinkedList<DocId>;
type Child = LinkedListChildCollector;
fn for_segment(
&self,
_segment_lo... | milvus/internal/core/thirdparty/tantivy/tantivy-binding/src/linkedlist_collector.rs/0 | {
"file_path": "milvus/internal/core/thirdparty/tantivy/tantivy-binding/src/linkedlist_collector.rs",
"repo_id": "milvus",
"token_count": 670
} | 1,949 |
_type: prompt
input_variables:
["adjective", "content"]
template:
Tell me a {adjective} joke about {content}.
| langchain/docs/docs/modules/model_io/prompts/simple_prompt.yaml/0 | {
"file_path": "langchain/docs/docs/modules/model_io/prompts/simple_prompt.yaml",
"repo_id": "langchain",
"token_count": 44
} | 216 |
import pytest
from text_generation import (
InferenceAPIClient,
InferenceAPIAsyncClient,
Client,
AsyncClient,
)
from text_generation.errors import NotSupportedError, NotFoundError
from text_generation.inference_api import check_model_support, deployed_models
def test_check_model_support(flan_t5_xxl, ... | text-generation-inference/clients/python/tests/test_inference_api.py/0 | {
"file_path": "text-generation-inference/clients/python/tests/test_inference_api.py",
"repo_id": "text-generation-inference",
"token_count": 411
} | 379 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { z } from "zod";
import { interpolateFString, PromptTemplate } from "@langchain/core/prompts";
import { MultiRouteChain, MultiRouteChainInput } from "./multi_route.js";
import { STRUCTURED_MULTI_PROMPT_ROUTER_TEMPLATE } from... | langchainjs/langchain/src/chains/router/multi_prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/router/multi_prompt.ts",
"repo_id": "langchainjs",
"token_count": 2104
} | 908 |
// 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/util/flowgraph/input_node_test.go/0 | {
"file_path": "milvus/internal/util/flowgraph/input_node_test.go",
"repo_id": "milvus",
"token_count": 1728
} | 2,071 |
"""Wikipedia API toolkit."""
| langchain/libs/langchain/langchain/tools/wikipedia/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/wikipedia/__init__.py",
"repo_id": "langchain",
"token_count": 8
} | 592 |
#!/usr/bin/env bash
set -o errexit
set -o nounset
set -o pipefail
set -o xtrace
SCRIPT_DIR="$(cd "$(dirname "$0")"; pwd)"
cd "${SCRIPT_DIR}"
mkdir -p ../_dist
rsync -ruv --exclude node_modules --exclude api_reference --exclude .venv --exclude .docusaurus . ../_dist
cd ../_dist
poetry run python scripts/model_feat_ta... | langchain/docs/.local_build.sh/0 | {
"file_path": "langchain/docs/.local_build.sh",
"repo_id": "langchain",
"token_count": 279
} | 83 |
diff --git a/lib/parser.js b/lib/parser.js
index 43e4aff85acc56f5360f80b639062157e64b61c1..23d3e7b37004f6b8787d14cbe4704bc626ac526f 100644
--- a/lib/parser.js
+++ b/lib/parser.js
@@ -46,8 +46,7 @@ function parseTreeRecursive(context, request, options, output, resolve) {
node.expression.kind === typescr... | langchainjs/.yarn/patches/dpdm-npm-3.12.0-0dfdd8e3b8.patch/0 | {
"file_path": "langchainjs/.yarn/patches/dpdm-npm-3.12.0-0dfdd8e3b8.patch",
"repo_id": "langchainjs",
"token_count": 982
} | 713 |
import argparse
import os
import torch
from torchvision.datasets.utils import download_url
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, Transformer2DModel
pretrained_models = {512: "DiT-XL-2-512x512.pt", 256: "DiT-XL-2-256x256.pt"}
def download_model(model_name):
"""
Downloads a pre-tr... | diffusers/scripts/convert_dit_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dit_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3037
} | 230 |
# Storing
Once you have data [loaded](/understanding/loading/loading.md) and [indexed](/understanding/indexing/indexing.md), you will probably want to store it to avoid the time and cost of re-indexing it. By default, your indexed data is stored only in memory.
## Persisting to disk
The simplest way to store your in... | llama_index/docs/understanding/storing/storing.md/0 | {
"file_path": "llama_index/docs/understanding/storing/storing.md",
"repo_id": "llama_index",
"token_count": 1404
} | 1,110 |
"""General node utils."""
import logging
import uuid
from typing import List, Optional, Protocol, runtime_checkable
from llama_index.legacy.schema import (
BaseNode,
Document,
ImageDocument,
ImageNode,
NodeRelationship,
TextNode,
)
from llama_index.legacy.utils import truncate_text
logger = l... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/node_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/node_utils.py",
"repo_id": "llama_index",
"token_count": 1507
} | 1,743 |
mod utils;
use tokenizers::models::bpe::{Vocab, BPE};
use tokenizers::Tokenizer;
use wasm_bindgen::prelude::*;
// When the `wee_alloc` feature is enabled, use `wee_alloc` as the global
// allocator.
#[cfg(feature = "wee_alloc")]
#[global_allocator]
static ALLOC: wee_alloc::WeeAlloc = wee_alloc::WeeAlloc::INIT;
#[was... | tokenizers/tokenizers/examples/unstable_wasm/src/lib.rs/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/src/lib.rs",
"repo_id": "tokenizers",
"token_count": 543
} | 472 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,353 |
export interface ConvSidebar {
id: string;
title: string;
updatedAt: Date;
model?: string;
assistantId?: string;
avatarHash?: string;
}
| chat-ui/src/lib/types/ConvSidebar.ts/0 | {
"file_path": "chat-ui/src/lib/types/ConvSidebar.ts",
"repo_id": "chat-ui",
"token_count": 50
} | 100 |
import json
import hashlib
class Env:
"""
{
"_version": "0.1",
"_type": "env",
"server_config": dict,
"OMP_NUM_THREADS": string,
}
"""
def __init__(self, server_config=None, omp_num_threads=None):
self._version = '0.1'
self._type = 'env'
sel... | milvus/tests/benchmark/milvus_benchmark/metrics/models/env.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/metrics/models/env.py",
"repo_id": "milvus",
"token_count": 271
} | 2,134 |
# Copyright 2023-present 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 law or... | peft/src/peft/mixed_model.py/0 | {
"file_path": "peft/src/peft/mixed_model.py",
"repo_id": "peft",
"token_count": 6613
} | 333 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-python-file/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-python-file/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,433 |
<!--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/lora.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/lora.md",
"repo_id": "diffusers",
"token_count": 463
} | 174 |
<jupyter_start><jupyter_text>Google SearchThis notebook goes over how to use the google search component.First, you need to set up the proper API keys and environment variables. To set it up, create the GOOGLE_API_KEY in the Google Cloud credential console (https://console.cloud.google.com/apis/credentials) and a GOOGL... | langchain/docs/docs/integrations/tools/google_search.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/google_search.ipynb",
"repo_id": "langchain",
"token_count": 578
} | 174 |
<jupyter_start><jupyter_text>TwilioThis notebook goes over how to use the [Twilio](https://www.twilio.com) API wrapper to send a message through SMS or [Twilio Messaging Channels](https://www.twilio.com/docs/messaging/channels).Twilio Messaging Channels facilitates integrations with 3rd party messaging apps and lets yo... | langchain/docs/docs/integrations/tools/twilio.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/twilio.ipynb",
"repo_id": "langchain",
"token_count": 598
} | 187 |
<script lang="ts">
export let classNames = "";
</script>
<svg
class={classNames}
xmlns="http://www.w3.org/2000/svg"
aria-hidden="true"
fill="currentColor"
focusable="false"
role="img"
width="1em"
height="1em"
preserveAspectRatio="xMidYMid meet"
viewBox="0 0 32 32"
>
<path
d="M28,10V28H10V10H28m0-2H10a2,2... | chat-ui/src/lib/components/icons/IconCopy.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconCopy.svelte",
"repo_id": "chat-ui",
"token_count": 299
} | 99 |
# coding=utf-8
# Copyright 2023 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/utils/update_tiny_models.py/0 | {
"file_path": "transformers/utils/update_tiny_models.py",
"repo_id": "transformers",
"token_count": 3072
} | 849 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/unet_1d_blocks.py/0 | {
"file_path": "diffusers/src/diffusers/models/unet_1d_blocks.py",
"repo_id": "diffusers",
"token_count": 3632
} | 226 |
package datacoord
import (
"fmt"
"github.com/samber/lo"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
// The LevelZeroSegments keeps the min group
type LevelZeroSegmentsView struct {
label *CompactionGroupLabel
segments ... | milvus/internal/datacoord/compaction_l0_view.go/0 | {
"file_path": "milvus/internal/datacoord/compaction_l0_view.go",
"repo_id": "milvus",
"token_count": 1614
} | 1,790 |
# coding=utf-8
# Copyright 2023 The Intel Labs Team Authors, The Microsoft Research Team Authors and HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License a... | transformers/tests/models/bridgetower/test_modeling_bridgetower.py/0 | {
"file_path": "transformers/tests/models/bridgetower/test_modeling_bridgetower.py",
"repo_id": "transformers",
"token_count": 11285
} | 787 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,517 |
import { awaitAllCallbacks } from "@langchain/core/callbacks/promises";
await awaitAllCallbacks();
| langchainjs/examples/src/callbacks/background_await.ts/0 | {
"file_path": "langchainjs/examples/src/callbacks/background_await.ts",
"repo_id": "langchainjs",
"token_count": 30
} | 787 |
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