text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
{
"name": "tokenizers-win32-x64-msvc",
"version": "0.13.4-rc1",
"os": [
"win32"
],
"cpu": [
"x64"
],
"main": "tokenizers.win32-x64-msvc.node",
"files": [
"tokenizers.win32-x64-msvc.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",... | tokenizers/bindings/node/npm/win32-x64-msvc/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/win32-x64-msvc/package.json",
"repo_id": "tokenizers",
"token_count": 277
} | 436 |
python_requirements(
name="reqs",
)
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/unstructured/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/unstructured/BUILD",
"repo_id": "llama_index",
"token_count": 24
} | 1,319 |
from langchain_community.chat_message_histories.mongodb import (
MongoDBChatMessageHistory,
)
__all__ = ["MongoDBChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/mongodb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/mongodb.py",
"repo_id": "langchain",
"token_count": 45
} | 529 |
python_sources()
| llama_index/llama-index-core/llama_index/core/base/query_pipeline/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/base/query_pipeline/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,162 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datacoord/indexnode_manager.go/0 | {
"file_path": "milvus/internal/datacoord/indexnode_manager.go",
"repo_id": "milvus",
"token_count": 2919
} | 1,766 |
import os
from enum import Enum
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class SearchDepth(Enum):
"""Search depth as enumerator."""
BASIC ... | langchain/libs/community/langchain_community/retrievers/tavily_search_api.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/tavily_search_api.py",
"repo_id": "langchain",
"token_count": 1412
} | 289 |
import { Redis as UpstashRedis, type RedisConfigNodejs } from "@upstash/redis";
import { BaseStore } from "@langchain/core/stores";
/**
* Type definition for the input parameters required to initialize an
* instance of the UpstashStoreInput class.
*/
export interface UpstashRedisStoreInput {
sessionTTL?: number;... | langchainjs/libs/langchain-community/src/storage/upstash_redis.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/storage/upstash_redis.ts",
"repo_id": "langchainjs",
"token_count": 1937
} | 1,000 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,454 |
<jupyter_start><jupyter_text>Monster API LLamaIndexMonsterAPI Hosts wide range of popular LLMs as inference service and this notebook serves as a tutorial about how to use llama-index to access MonsterAPI LLMs.Check us out here: https://monsterapi.ai/ Install Required Libraries<jupyter_code>%pip install llama-index-ll... | llama_index/docs/examples/llm/monsterapi.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/monsterapi.ipynb",
"repo_id": "llama_index",
"token_count": 3068
} | 1,089 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/blenderbot/test_modeling_tf_blenderbot.py/0 | {
"file_path": "transformers/tests/models/blenderbot/test_modeling_tf_blenderbot.py",
"repo_id": "transformers",
"token_count": 3935
} | 770 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-obsidian/llama_index/readers/obsidian/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-obsidian/llama_index/readers/obsidian/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,417 |
# 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/setup.py/0 | {
"file_path": "diffusers/setup.py",
"repo_id": "diffusers",
"token_count": 3764
} | 222 |
# coding=utf-8
# Copyright 2020 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... | transformers/tests/models/funnel/test_tokenization_funnel.py/0 | {
"file_path": "transformers/tests/models/funnel/test_tokenization_funnel.py",
"repo_id": "transformers",
"token_count": 1257
} | 747 |
# Serving Private & Gated Models
If the model you wish to serve is behind gated access or the model repository on Hugging Face Hub is private, and you have access to the model, you can provide your Hugging Face Hub access token. You can generate and copy a read token from [Hugging Face Hub tokens page](https://hugging... | text-generation-inference/docs/source/basic_tutorials/gated_model_access.md/0 | {
"file_path": "text-generation-inference/docs/source/basic_tutorials/gated_model_access.md",
"repo_id": "text-generation-inference",
"token_count": 320
} | 419 |
# 🦜️🧑🤝🧑 LangChain Community
[](https://github.com/langchain-ai/langchainjs/actions/workflows/ci.yml)  [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg... | langchainjs/libs/langchain-community/README.md/0 | {
"file_path": "langchainjs/libs/langchain-community/README.md",
"repo_id": "langchainjs",
"token_count": 794
} | 978 |
from langchain_community.callbacks.mlflow_callback import (
MlflowCallbackHandler,
MlflowLogger,
analyze_text,
construct_html_from_prompt_and_generation,
)
__all__ = [
"analyze_text",
"construct_html_from_prompt_and_generation",
"MlflowLogger",
"MlflowCallbackHandler",
]
| langchain/libs/langchain/langchain/callbacks/mlflow_callback.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/mlflow_callback.py",
"repo_id": "langchain",
"token_count": 123
} | 450 |
<jupyter_start><jupyter_text>PII Masking If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-openai
%pip install llama-index-llms-huggingface
!pip install llama-index
import logging
import sys
logging.basicConfig(stream=sys.stdout, level... | llama_index/docs/examples/node_postprocessor/PII.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/PII.ipynb",
"repo_id": "llama_index",
"token_count": 1302
} | 1,076 |
use std::collections::{HashMap, HashSet};
use crate::utils::SysRegex;
use serde::{Deserialize, Serialize};
use crate::tokenizer::{
Decoder, Encoding, PostProcessor, PreTokenizedString, PreTokenizer, Result,
SplitDelimiterBehavior,
};
use crate::utils::macro_rules_attribute;
/// Converts bytes to unicode char... | tokenizers/tokenizers/src/pre_tokenizers/byte_level.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/byte_level.rs",
"repo_id": "tokenizers",
"token_count": 10930
} | 438 |
from llama_index.legacy.tools.tool_spec.load_and_search.base import (
LoadAndSearchToolSpec,
)
__all__ = ["LoadAndSearchToolSpec"]
| llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/load_and_search/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/load_and_search/__init__.py",
"repo_id": "llama_index",
"token_count": 50
} | 1,649 |
terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
}
# Define provider
variable "AWS_ACCESS_KEY" {}
variable "AWS_SECRET_ACCESS_KEY" {}
provider "aws" {
access_key = var.AWS_ACCESS_KEY
secret_key = var.AWS_SECRET_ACCESS_KEY
region = var.region
}... | chroma/examples/deployments/aws-terraform/chroma.tf/0 | {
"file_path": "chroma/examples/deployments/aws-terraform/chroma.tf",
"repo_id": "chroma",
"token_count": 1693
} | 40 |
from __future__ import annotations
from typing import Any, Callable, Dict, Optional
from langchain_core.output_parsers import BaseOutputParser
class GuardrailsOutputParser(BaseOutputParser):
"""Parse the output of an LLM call using Guardrails."""
guard: Any
"""The Guardrails object."""
api: Optiona... | langchain/libs/community/langchain_community/output_parsers/rail_parser.py/0 | {
"file_path": "langchain/libs/community/langchain_community/output_parsers/rail_parser.py",
"repo_id": "langchain",
"token_count": 1568
} | 284 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-portkey/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-portkey/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,327 |
import pytest
import time
from time import sleep
from pathlib import Path
from datetime import datetime
import json
from pymilvus import connections
from common.cus_resource_opts import CustomResourceOperations as CusResource
from common.milvus_sys import MilvusSys
from chaos import chaos_commons as cc
import logging a... | milvus/tests/python_client/chaos/test_chaos_apply_to_determined_pod.py/0 | {
"file_path": "milvus/tests/python_client/chaos/test_chaos_apply_to_determined_pod.py",
"repo_id": "milvus",
"token_count": 3541
} | 2,174 |
[
{
"server": "idc-sh004",
"suite_params": [
{
"suite": "2_insert_build.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/build.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/build.json",
"repo_id": "milvus",
"token_count": 136
} | 2,138 |
"use client";
import { useState, type FormEvent } from "react";
import DEFAULT_RETRIEVAL_TEXT from "@/data/DefaultRetrievalText";
export function UploadDocumentsForm() {
const [isLoading, setIsLoading] = useState(false);
const [document, setDocument] = useState(DEFAULT_RETRIEVAL_TEXT);
const ingest = async (e: ... | langchain-nextjs-template/components/UploadDocumentsForm.tsx/0 | {
"file_path": "langchain-nextjs-template/components/UploadDocumentsForm.tsx",
"repo_id": "langchain-nextjs-template",
"token_count": 1156
} | 70 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/deepspeed.py/0 | {
"file_path": "accelerate/src/accelerate/utils/deepspeed.py",
"repo_id": "accelerate",
"token_count": 3992
} | 16 |
export * from "@langchain/core/load/serializable";
| langchainjs/libs/langchain-community/src/load/serializable.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/load/serializable.ts",
"repo_id": "langchainjs",
"token_count": 15
} | 976 |
from typing import List
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.few_shot import FewShotPromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
from langchain.chains.llm import LLMChain
TEST_GEN_TEMPLATE_SUFFIX = "Add another example."
def generate_ex... | langchain/libs/langchain/langchain/chains/example_generator.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/example_generator.py",
"repo_id": "langchain",
"token_count": 261
} | 460 |
# openai
# your api key from https://platform.openai.com/account/api-keys
OPENAI_API_KEY=your_openai_api_key_here
# searchapi
# your api key from https://www.searchapi.io/
SEARCHAPI_API_KEY=your_searchapi_api_key_here
# power bi
# sign in to azure in order to authenticate with DefaultAzureCredentials
# details here... | langchain/libs/langchain/tests/integration_tests/.env.example/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/.env.example",
"repo_id": "langchain",
"token_count": 299
} | 588 |
<!--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/perf_torch_compile.md/0 | {
"file_path": "transformers/docs/source/en/perf_torch_compile.md",
"repo_id": "transformers",
"token_count": 5859
} | 499 |
python_tests(
name="tests",
dependencies=[
'llama-index-core/tests/indices/vector_store/mock_services.py',
]
)
| llama_index/llama-index-core/tests/indices/response/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/response/BUILD",
"repo_id": "llama_index",
"token_count": 58
} | 1,314 |
python_tests()
| llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,348 |
<jupyter_start><jupyter_text>GooseAI`GooseAI` is a fully managed NLP-as-a-Service, delivered via API. GooseAI provides access to [these models](https://goose.ai/docs/models).This notebook goes over how to use Langchain with [GooseAI](https://goose.ai/). Install openaiThe `openai` package is required to use the GooseAI... | langchain/docs/docs/integrations/llms/gooseai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/gooseai.ipynb",
"repo_id": "langchain",
"token_count": 569
} | 129 |
import gzip
import os
import datasets
import pytest
from ..utils import data_dir, train_files
class TestTrainFromIterators:
@staticmethod
def get_tokenizer_trainer():
# START init_tokenizer_trainer
from tokenizers import Tokenizer, decoders, models, normalizers, pre_tokenizers, trainers
... | tokenizers/bindings/python/tests/documentation/test_tutorial_train_from_iterators.py/0 | {
"file_path": "tokenizers/bindings/python/tests/documentation/test_tutorial_train_from_iterators.py",
"repo_id": "tokenizers",
"token_count": 1587
} | 442 |
[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 = ["argilla_callback_handler"]
contains_example = false
import_path = "llama_index.callbacks.... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/pyproject.toml",
"repo_id": "llama_index",
"token_count": 647
} | 1,169 |
"""
An implementation of RepGhostNet Model as defined in:
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization. https://arxiv.org/abs/2211.06088
Original implementation: https://github.com/ChengpengChen/RepGhost
"""
import copy
from functools import partial
import torch
import torch.nn as nn
import tor... | pytorch-image-models/timm/models/repghost.py/0 | {
"file_path": "pytorch-image-models/timm/models/repghost.py",
"repo_id": "pytorch-image-models",
"token_count": 8148
} | 381 |
<!--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/ko/fast_tokenizers.md/0 | {
"file_path": "transformers/docs/source/ko/fast_tokenizers.md",
"repo_id": "transformers",
"token_count": 1829
} | 540 |
FROM nvidia/cuda:12.1.0-runtime-ubuntu20.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ENV DEBIAN_FRONTEND=noninteractive
RUN apt update && \
apt install -y bash \
build-essential \
git \
git-lfs \
curl \
ca-certificates \
libsndfile1-dev \
libgl1 \
python3.9 \
... | diffusers/docker/diffusers-pytorch-compile-cuda/Dockerfile/0 | {
"file_path": "diffusers/docker/diffusers-pytorch-compile-cuda/Dockerfile",
"repo_id": "diffusers",
"token_count": 432
} | 175 |
import { test, expect } from "@jest/globals";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import { ChatMessageHistory } from "@langchain/community/stores/message/in_memory";
import { BufferWindowMemory } from "../buffer_window_memory.js";
test("Test buffer window memory", async () => {
const ... | langchainjs/langchain/src/memory/tests/buffer_window_memory.test.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/tests/buffer_window_memory.test.ts",
"repo_id": "langchainjs",
"token_count": 636
} | 934 |
"""Tool for the OpenWeatherMap API."""
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.openweathermap import OpenWeatherMapAPIWrapper
class OpenWeathe... | langchain/libs/community/langchain_community/tools/openweathermap/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/openweathermap/tool.py",
"repo_id": "langchain",
"token_count": 323
} | 304 |
# (Gluon) SE-ResNeXt
**SE ResNeXt** is a variant of a [ResNext](https://www.paperswithcode.com/method/resnext) that employs [squeeze-and-excitation blocks](https://paperswithcode.com/method/squeeze-and-excitation-block) to enable the network to perform dynamic channel-wise feature recalibration.
The weights from this... | pytorch-image-models/docs/models/.templates/models/gloun-seresnext.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/gloun-seresnext.md",
"repo_id": "pytorch-image-models",
"token_count": 1705
} | 357 |
<jupyter_start><jupyter_text>AWS DynamoDB>[Amazon AWS DynamoDB](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/dynamodb/index.html) is a fully managed `NoSQL` database service that provides fast and predictable performance with seamless scalability.This notebook goes over how to use `DynamoDB` to st... | langchain/docs/docs/integrations/memory/aws_dynamodb.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/aws_dynamodb.ipynb",
"repo_id": "langchain",
"token_count": 1753
} | 128 |
# for backwards compatibility
from llama_index.legacy.service_context import ServiceContext
__all__ = [
"ServiceContext",
]
| llama_index/llama-index-legacy/llama_index/legacy/indices/service_context.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/service_context.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,565 |
"""Test FAISS functionality."""
import datetime
import math
import tempfile
from typing import Union
import pytest
from langchain_core.documents import Document
from langchain_community.docstore.base import Docstore
from langchain_community.docstore.in_memory import InMemoryDocstore
from langchain_community.vectorsto... | langchain/libs/community/tests/unit_tests/vectorstores/test_faiss.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/vectorstores/test_faiss.py",
"repo_id": "langchain",
"token_count": 12987
} | 395 |
<jupyter_start><jupyter_text>Introduction to 🤗 Diffusers In this notebook, you'll train your first diffusion model to **generate images of cute butterflies 🦋.** Along the way, you'll learn about the core components of the 🤗 Diffusers library, which will provide a good foundation for the more advanced applications th... | diffusion-models-class/unit1/01_introduction_to_diffusers.ipynb/0 | {
"file_path": "diffusion-models-class/unit1/01_introduction_to_diffusers.ipynb",
"repo_id": "diffusion-models-class",
"token_count": 8549
} | 301 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-clickhouse/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-clickhouse/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,349 |
# These kubernetes manifests are UNDER ACTIVE DEVELOPMENT and are not yet ready for production use.
# They will be used for the upcoming distributed version of chroma. They are not even ready
# for testing yet. Please do not use them unless you are working on the distributed version of chroma.
# Create a memberlist c... | chroma/k8s/test/test_memberlist_cr.yaml/0 | {
"file_path": "chroma/k8s/test/test_memberlist_cr.yaml",
"repo_id": "chroma",
"token_count": 338
} | 54 |
"""Init params."""
| llama_index/llama-index-core/tests/indices/query/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/query/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,158 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-cogniswitch-agent/examples/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-cogniswitch-agent/examples/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,647 |
import os
from tempfile import TemporaryDirectory
from unittest import TestCase
import pytest
from absl.testing import parameterized
from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatasetDict
from data... | datasets/tests/test_hf_gcp.py/0 | {
"file_path": "datasets/tests/test_hf_gcp.py",
"repo_id": "datasets",
"token_count": 1782
} | 144 |
# 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/src/transformers/models/nougat/tokenization_nougat_fast.py/0 | {
"file_path": "transformers/src/transformers/models/nougat/tokenization_nougat_fast.py",
"repo_id": "transformers",
"token_count": 10582
} | 641 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | accelerate/examples/inference/llama.py/0 | {
"file_path": "accelerate/examples/inference/llama.py",
"repo_id": "accelerate",
"token_count": 695
} | 7 |
<jupyter_start><jupyter_text>DeepSparseThis page covers how to use the [DeepSparse](https://github.com/neuralmagic/deepsparse) inference runtime within LangChain.It is broken into two parts: installation and setup, and then examples of DeepSparse usage. Installation and Setup- Install the Python package with `pip insta... | langchain/docs/docs/integrations/llms/deepsparse.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/deepsparse.ipynb",
"repo_id": "langchain",
"token_count": 424
} | 127 |
<!---
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 ... | transformers/templates/adding_a_new_example_script/README.md/0 | {
"file_path": "transformers/templates/adding_a_new_example_script/README.md",
"repo_id": "transformers",
"token_count": 444
} | 710 |
# coding=utf-8
# Copyright 2023 The Suno AI Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | transformers/src/transformers/models/bark/configuration_bark.py/0 | {
"file_path": "transformers/src/transformers/models/bark/configuration_bark.py",
"repo_id": "transformers",
"token_count": 4847
} | 571 |
"""Common structures for structured indices."""
from dataclasses import dataclass
from typing import Dict, Optional
from dataclasses_json import DataClassJsonMixin
# TODO: migrate this to be a data_struct
@dataclass
class SQLContextContainer(DataClassJsonMixin):
"""SQLContextContainer.
A container interface... | llama_index/llama-index-legacy/llama_index/legacy/indices/common/struct_store/schema.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/common/struct_store/schema.py",
"repo_id": "llama_index",
"token_count": 216
} | 1,569 |
"""Code to dynamically create pydantic models for validating requests and responses.
Requests share the same basic shape of input, config, and kwargs.
Invoke and Batch responses use an `output` key for the output, other keys may
be added to the response at a later date.
Responses for stream and stream_log are specif... | langserve/langserve/validation.py/0 | {
"file_path": "langserve/langserve/validation.py",
"repo_id": "langserve",
"token_count": 7127
} | 1,053 |
# 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... | transformers/src/transformers/models/vits/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/vits/__init__.py",
"repo_id": "transformers",
"token_count": 732
} | 687 |
use crate::{
config::{Configurable, WorkerConfig},
errors::ChromaError,
};
use super::{
config::{AssignmentPolicyConfig, HasherType},
rendezvous_hash::{assign, AssignmentError, Murmur3Hasher},
};
use async_trait::async_trait;
/*
===========================================
Interfaces
==================... | chroma/rust/worker/src/assignment/assignment_policy.rs/0 | {
"file_path": "chroma/rust/worker/src/assignment/assignment_policy.rs",
"repo_id": "chroma",
"token_count": 1148
} | 60 |
# Partial prompt templates
Like other methods, it can make sense to "partial" a prompt template - eg pass in a subset of the required values, as to create a new prompt template which expects only the remaining subset of values.
LangChain supports this in two ways:
1. Partial formatting with string values.
2. Partial... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/partial.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/partial.mdx",
"repo_id": "langchainjs",
"token_count": 906
} | 765 |
from typing import Any, List, Optional
from InstructorEmbedding import INSTRUCTOR
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks import CallbackManager
from llama_inde... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/base.py",
"repo_id": "llama_index",
"token_count": 1381
} | 1,366 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/speecht5/feature_extraction_speecht5.py/0 | {
"file_path": "transformers/src/transformers/models/speecht5/feature_extraction_speecht5.py",
"repo_id": "transformers",
"token_count": 7605
} | 669 |
<jupyter_start><jupyter_text>Open City Data [Socrata](https://dev.socrata.com/foundry/data.sfgov.org/vw6y-z8j6) provides an API for city open data. For a dataset such as [SF crime](https://data.sfgov.org/Public-Safety/Police-Department-Incident-Reports-Historical-2003/tmnf-yvry), to to the `API` tab on top right. That ... | langchain/docs/docs/integrations/document_loaders/open_city_data.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/open_city_data.ipynb",
"repo_id": "langchain",
"token_count": 385
} | 116 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/dreambooth/train_dreambooth_lora_sdxl.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth_lora_sdxl.py",
"repo_id": "diffusers",
"token_count": 34281
} | 214 |
from llama_index.vector_stores.tencentvectordb.base import TencentVectorDB
__all__ = ["TencentVectorDB"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/llama_index/vector_stores/tencentvectordb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/llama_index/vector_stores/tencentvectordb/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,625 |
// 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/segments/reduce.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/reduce.go",
"repo_id": "milvus",
"token_count": 1490
} | 1,776 |
from llama_index.readers.trello.base import TrelloReader
__all__ = ["TrelloReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-trello/llama_index/readers/trello/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-trello/llama_index/readers/trello/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,386 |
<jupyter_start><jupyter_text>Building a Tavily Data AgentThis tutorial walks through using the LLM tools provided by the [Tavily API](https://app.tavily.com/) to allow LLMs to easily search and retrieve relevant content from the Internet.To get started, you will need an [OpenAI api key](https://platform.openai.com/acco... | llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/examples/tavily.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/examples/tavily.ipynb",
"repo_id": "llama_index",
"token_count": 707
} | 1,439 |
import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class MCLIPConfig(XLMRobertaConfig):
model_type = "M-CLIP"
def __init__(self, transformerDimSize=1024, imageDimSize=768, **kwargs):
self.transformerDimensions = transformerDimSize
self.numDims = imageDimS... | diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py",
"repo_id": "diffusers",
"token_count": 405
} | 246 |
import argparse
import csv
import evaluate
import numpy as np
import torch
from datasets import load_dataset
from tqdm import tqdm
from transformers import AutoModelForCausalLM, AutoTokenizer
from trl.import_utils import is_npu_available, is_xpu_available
toxicity = evaluate.load("ybelkada/toxicity", "DaNLP/da-elec... | trl/examples/research_projects/toxicity/scripts/evaluate-toxicity.py/0 | {
"file_path": "trl/examples/research_projects/toxicity/scripts/evaluate-toxicity.py",
"repo_id": "trl",
"token_count": 2056
} | 859 |
<jupyter_start><jupyter_text>Forward/Backward AugmentationShowcase capabilities of leveraging Node relationships on top of PG's essay If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>!pip install llama-index
from llama_index.core import VectorStoreIndex, SimpleDire... | llama_index/docs/examples/node_postprocessor/PrevNextPostprocessorDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/PrevNextPostprocessorDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1303
} | 1,071 |
# 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 this fil... | milvus/tests/benchmark/Dockerfile/0 | {
"file_path": "milvus/tests/benchmark/Dockerfile",
"repo_id": "milvus",
"token_count": 543
} | 1,954 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 17934,
"logprob": null,
"text": "Pour"
},
{
"id": 49833,
"logprob": -10.5390625,
"text": " dég"
},
{
"... | text-generation-inference/integration-tests/models/__snapshots__/test_bloom_560m_sharded/test_bloom_560m_sharded.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_bloom_560m_sharded/test_bloom_560m_sharded.json",
"repo_id": "text-generation-inference",
"token_count": 1543
} | 398 |
@@@@func_list@struct_name
void
@@visitor_name@@::visit(@@struct_name@@& @@parameter_name@@) {
// TODO
}
####
@@@@main
#error TODO: copy this file out, and modify the content.
#include "query/generated/@@visitor_name@@.h"
namespace @@namespace@@ {
@@func_list@@
} // namespace @@namespace@@
####
| milvus/tools/core_gen/templates/visitor_derived.cpp/0 | {
"file_path": "milvus/tools/core_gen/templates/visitor_derived.cpp",
"repo_id": "milvus",
"token_count": 112
} | 1,982 |
<jupyter_start><jupyter_text>Image to Image Retrieval using CLIP embedding and image correlation reasoning using GPT4VIn this notebook, we show how to build a Image to Image retrieval using LlamaIndex with GPT4-V and CLIP.LlamaIndex Image to Image Retrieval - Images embedding index: [CLIP](https://github.com/openai/CLI... | llama_index/docs/examples/multi_modal/image_to_image_retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/multi_modal/image_to_image_retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 3186
} | 1,200 |
import unittest
import os
from unittest.mock import patch, Mock
import pytest
import chromadb
import chromadb.config
from chromadb.db.system import SysDB
from chromadb.ingest import Consumer, Producer
class GetDBTest(unittest.TestCase):
@patch("chromadb.db.impl.sqlite.SqliteDB", autospec=True)
def test_defaul... | chroma/chromadb/test/test_chroma.py/0 | {
"file_path": "chroma/chromadb/test/test_chroma.py",
"repo_id": "chroma",
"token_count": 1890
} | 26 |
from langchain_nvidia_trt import __all__
EXPECTED_ALL = ["TritonTensorRTLLM"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/nvidia-trt/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/partners/nvidia-trt/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 65
} | 634 |
<jupyter_start><jupyter_text>Google Cloud Text-to-Speech>[Google Cloud Text-to-Speech](https://cloud.google.com/text-to-speech) enables developers to synthesize natural-sounding speech with 100+ voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s p... | langchain/docs/docs/integrations/tools/google_cloud_texttospeech.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/google_cloud_texttospeech.ipynb",
"repo_id": "langchain",
"token_count": 329
} | 186 |
# Docugami
>[Docugami](https://docugami.com) converts business documents into a Document XML Knowledge Graph, generating forests
> of XML semantic trees representing entire documents. This is a rich representation that includes the semantic and
> structural characteristics of various chunks in the document as an XML... | langchain/docs/docs/integrations/providers/docugami.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/docugami.mdx",
"repo_id": "langchain",
"token_count": 145
} | 145 |
import pytest
from llama_index.legacy.data_structs.data_structs import IndexGraph
from llama_index.legacy.storage.index_store.postgres_index_store import (
PostgresIndexStore,
)
from llama_index.legacy.storage.kvstore.postgres_kvstore import PostgresKVStore
try:
import asyncpg # noqa
import psycopg2 # no... | llama_index/llama-index-legacy/tests/storage/index_store/test_postgres_index_store.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/index_store/test_postgres_index_store.py",
"repo_id": "llama_index",
"token_count": 351
} | 1,650 |
// 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/server_test.go/0 | {
"file_path": "milvus/internal/querynodev2/server_test.go",
"repo_id": "milvus",
"token_count": 2926
} | 1,878 |
"""Test OpenLLM wrapper."""
from langchain_community.llms.openllm import OpenLLM
def test_openllm_llm_local() -> None:
llm = OpenLLM(model_name="flan-t5", model_id="google/flan-t5-small")
output = llm("Say foo:")
assert isinstance(output, str)
def test_openllm_with_kwargs() -> None:
llm = OpenLLM(
... | langchain/libs/community/tests/integration_tests/llms/test_openllm.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_openllm.py",
"repo_id": "langchain",
"token_count": 198
} | 340 |
{
"name": "nextjs",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint",
"format": "prettier --write \"app\""
},
"dependencies": {
"@types/node": "20.5.0",
"@types/react": "18.2.20",
"@types/re... | langsmith-cookbook/feedback-examples/nextjs/package.json/0 | {
"file_path": "langsmith-cookbook/feedback-examples/nextjs/package.json",
"repo_id": "langsmith-cookbook",
"token_count": 389
} | 1,071 |
<!--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/fr/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/fr/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 2591
} | 530 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/llama_index/readers/firebase_realtimedb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/llama_index/readers/firebase_realtimedb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,298 |
# LlamaIndex Llms Integration: Ollama
| llama_index/llama-index-integrations/llms/llama-index-llms-ollama/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ollama/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,237 |
<!--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/tasks/monocular_depth_estimation.md/0 | {
"file_path": "transformers/docs/source/en/tasks/monocular_depth_estimation.md",
"repo_id": "transformers",
"token_count": 1553
} | 498 |
import fs from "fs";
import { ChatGoogleGenerativeAI } from "@langchain/google-genai";
import { HumanMessage } from "@langchain/core/messages";
// Multi-modal
const vision = new ChatGoogleGenerativeAI({
modelName: "gemini-pro-vision",
maxOutputTokens: 2048,
});
const image = fs.readFileSync("./hotdog.jpg").toStrin... | langchainjs/examples/src/models/chat/googlegenerativeai_multimodal.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/googlegenerativeai_multimodal.ts",
"repo_id": "langchainjs",
"token_count": 515
} | 844 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/readers/llama-index-readers-sec-filings/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-sec-filings/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,372 |
# S3 File or Directory Loader
This loader parses any file stored on S3, or the entire Bucket (with an optional prefix filter) if no particular file is specified. When initializing `S3Reader`, you may pass in your [AWS Access Key](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html). If non... | llama_index/llama-index-integrations/readers/llama-index-readers-s3/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-s3/README.md",
"repo_id": "llama_index",
"token_count": 491
} | 1,369 |
<jupyter_start><jupyter_text>Basic Multi-agent CollaborationA single agent can usually operate effectively using a handful of tools within a single domain, but even using powerful models like `gpt-4`, it can be less effective at using many tools. One way to approach complicated tasks is through a "divide-and-conquer" a... | langgraph/examples/multi_agent/multi-agent-collaboration.ipynb/0 | {
"file_path": "langgraph/examples/multi_agent/multi-agent-collaboration.ipynb",
"repo_id": "langgraph",
"token_count": 3659
} | 1,074 |
# 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 this fil... | milvus/configs/milvus.yaml/0 | {
"file_path": "milvus/configs/milvus.yaml",
"repo_id": "milvus",
"token_count": 11412
} | 1,716 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | notebooks/sagemaker/22_accelerate_sagemaker_examples/src/text-classification/train_using_s3_data.py/0 | {
"file_path": "notebooks/sagemaker/22_accelerate_sagemaker_examples/src/text-classification/train_using_s3_data.py",
"repo_id": "notebooks",
"token_count": 4657
} | 320 |
import multiprocessing
import numbers
import random
import numpy
import threading
import pytest
import pandas as pd
import decimal
from decimal import Decimal, getcontext
from time import sleep
import heapq
from base.client_base import TestcaseBase
from utils.util_log import test_log as log
from common import common_f... | milvus/tests/python_client/milvus_client/test_milvus_client_insert.py/0 | {
"file_path": "milvus/tests/python_client/milvus_client/test_milvus_client_insert.py",
"repo_id": "milvus",
"token_count": 23248
} | 1,978 |
# LlamaIndex Llms Integration: Replicate
| llama_index/llama-index-integrations/llms/llama-index-llms-replicate/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-replicate/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,278 |
resource_type_action: # This is here just for reference
- tenant:create_tenant
- tenant:get_tenant
- db:create_database
- db:get_database
- db:reset
- db:list_collections
- collection:get_collection
- db:create_collection
- db:get_or_create_collection
- collection:delete_collection
- collection:up... | chroma/examples/basic_functionality/authz/authz.yaml/0 | {
"file_path": "chroma/examples/basic_functionality/authz/authz.yaml",
"repo_id": "chroma",
"token_count": 1294
} | 37 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/reformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/reformer.md",
"repo_id": "transformers",
"token_count": 3186
} | 514 |
use candle::Result;
use candle_nn::{batch_norm, Conv2dConfig, Module, VarBuilder};
#[allow(clippy::many_single_char_names)]
fn conv2d_same(
i: usize,
o: usize,
k: usize,
c: Conv2dConfig,
vb: VarBuilder,
) -> Result<impl Module> {
let conv2d = candle_nn::conv2d(i, o, k, c, vb)?;
let s = c.st... | candle/candle-transformers/src/models/convmixer.rs/0 | {
"file_path": "candle/candle-transformers/src/models/convmixer.rs",
"repo_id": "candle",
"token_count": 1413
} | 71 |
from milvus_benchmark import back_scheduler
def job_runner():
print("job_runner")
for i in range(30):
back_scheduler.add_job(job_runner, args=[], misfire_grace_time=300)
back_scheduler.start() | milvus/tests/benchmark/milvus_benchmark/tests/test_scheduler.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/tests/test_scheduler.py",
"repo_id": "milvus",
"token_count": 76
} | 1,885 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/logger/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/logger/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,590 |
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