text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from typing import Any, Callable, Dict, List, Sequence, Optional
import fastapi
from fastapi import FastAPI as _FastAPI, Response
from fastapi.responses import JSONResponse
from fastapi.middleware.cors import CORSMiddleware
from fastapi.routing import APIRoute
from fastapi import HTTPException, status
from uuid import... | chroma/chromadb/server/fastapi/__init__.py/0 | {
"file_path": "chroma/chromadb/server/fastapi/__init__.py",
"repo_id": "chroma",
"token_count": 10030
} | 20 |
# 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... | transformers/setup.py/0 | {
"file_path": "transformers/setup.py",
"repo_id": "transformers",
"token_count": 6407
} | 566 |
// 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/common/common.go/0 | {
"file_path": "milvus/pkg/common/common.go",
"repo_id": "milvus",
"token_count": 1612
} | 2,028 |
from llama_index.readers.hubspot.base import HubspotReader
__all__ = ["HubspotReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/llama_index/readers/hubspot/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/llama_index/readers/hubspot/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,365 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::test_utils::{to_vec0_round, to_vec2_round};
use anyhow::Result;
use candle::{Device, Tensor, Var};
use candle_nn::{AdamW, Linear, Module, Optimizer, ParamsAdamW, SGD};
#[test]
fn sgd_optim() -... | candle/candle-nn/tests/optim.rs/0 | {
"file_path": "candle/candle-nn/tests/optim.rs",
"repo_id": "candle",
"token_count": 1886
} | 58 |
import unittest
from langchain_community.document_loaders.couchbase import CouchbaseLoader
try:
import couchbase # noqa: F401
couchbase_installed = True
except ImportError:
couchbase_installed = False
@unittest.skipIf(not couchbase_installed, "couchbase not installed")
class TestCouchbaseLoader(unitte... | langchain/libs/community/tests/integration_tests/document_loaders/test_couchbase.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_couchbase.py",
"repo_id": "langchain",
"token_count": 691
} | 353 |
from langchain_core.tracers import __all__
EXPECTED_ALL = [
"BaseTracer",
"EvaluatorCallbackHandler",
"LangChainTracer",
"ConsoleCallbackHandler",
"Run",
"RunLog",
"RunLogPatch",
"LogStreamCallbackHandler",
]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)... | langchain/libs/core/tests/unit_tests/tracers/test_imports.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/tracers/test_imports.py",
"repo_id": "langchain",
"token_count": 132
} | 412 |
#!/usr/bin/env python3
import logging
import sys
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Union
import librosa
import torch
from datasets import DatasetDict, load_dataset
from packaging import version
from torch import nn
from transformers import (
HfArgumentParser,
... | transformers/examples/research_projects/wav2vec2/run_pretrain.py/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/run_pretrain.py",
"repo_id": "transformers",
"token_count": 6513
} | 594 |
// 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/streamrpc/in_memory_streamer.go/0 | {
"file_path": "milvus/internal/util/streamrpc/in_memory_streamer.go",
"repo_id": "milvus",
"token_count": 1647
} | 1,810 |
"""Test PGVector functionality."""
import os
from typing import List
from langchain_core.documents import Document
from langchain_community.vectorstores.analyticdb import AnalyticDB
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
CONNECTION_STRING = AnalyticDB.connection_string_from_... | langchain/libs/community/tests/integration_tests/vectorstores/test_analyticdb.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_analyticdb.py",
"repo_id": "langchain",
"token_count": 2534
} | 375 |
search_stability:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/sift_50m_128_l2_sq8_16384_stability
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 100
gpu_resource_config.enab... | milvus/tests/benchmark/milvus_benchmark/suites/011_search_stability.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_search_stability.yaml",
"repo_id": "milvus",
"token_count": 323
} | 1,947 |
"""Epub parser.
Contains parsers for epub files.
"""
from pathlib import Path
from typing import Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class EpubReader(BaseReader):
"""Epub Parser."""
def load_data(
self, file: Path, ... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/epub/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/epub/base.py",
"repo_id": "llama_index",
"token_count": 574
} | 1,435 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,458 |
# Gradio ReActAgent Chatbot Pack
Create a ReActAgent Chatbot equipped with two LlamaHub tools, namely:
[ArxivToolSpec](https://llamahub.ai/l/tools-arxiv) and Wikipedia tool and
[WikipediaToolSpec](https://llamahub.ai/l/tools-wikipedia).
This pack's Gradio app is built using Gradio `Blocks`. User messages are submitte... | llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/README.md",
"repo_id": "llama_index",
"token_count": 322
} | 1,791 |
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { ConversationalRetrievalQAChain } from "langchain/chains";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import { BufferMemory } from "langchain/memo... | langchainjs/examples/src/chains/conversational_qa_built_in_memory_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/conversational_qa_built_in_memory_legacy.ts",
"repo_id": "langchainjs",
"token_count": 556
} | 818 |
<!--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 applicable law or agreed... | transformers/docs/source/en/model_doc/xlsr_wav2vec2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlsr_wav2vec2.md",
"repo_id": "transformers",
"token_count": 699
} | 461 |
# Two main approaches for solving RL problems [[two-methods]]
<Tip>
Now that we learned the RL framework, how do we solve the RL problem?
</Tip>
In other words, how do we build an RL agent that can **select the actions that maximize its expected cumulative reward?**
## The Policy π: the agent’s brain [[policy]]
The... | deep-rl-class/units/en/unit1/two-methods.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/two-methods.mdx",
"repo_id": "deep-rl-class",
"token_count": 1565
} | 156 |
import { LLMChain } from "langchain/chains";
import { ChatOpenAI } from "@langchain/openai";
import { ChatPromptTemplate } from "@langchain/core/prompts";
// We can also construct an LLMChain from a ChatPromptTemplate and a chat model.
const chat = new ChatOpenAI({ temperature: 0 });
const chatPrompt = ChatPromptTempl... | langchainjs/examples/src/chains/llm_chain_chat.ts/0 | {
"file_path": "langchainjs/examples/src/chains/llm_chain_chat.ts",
"repo_id": "langchainjs",
"token_count": 243
} | 790 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,451 |
""" Dataset reader that wraps TFDS datasets
Wraps many (most?) TFDS image-classification datasets
from https://github.com/tensorflow/datasets
https://www.tensorflow.org/datasets/catalog/overview#image_classification
Hacked together by / Copyright 2020 Ross Wightman
"""
import math
import os
import sys
from typing imp... | pytorch-image-models/timm/data/readers/reader_tfds.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/reader_tfds.py",
"repo_id": "pytorch-image-models",
"token_count": 7089
} | 371 |
"""Hive data reader."""
from typing import List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class HiveReader(BaseReader):
"""
Read documents from a Hive.
These documents can then be used in a downstream Llama Index data structure.
Arg... | llama_index/llama-index-integrations/readers/llama-index-readers-hive/llama_index/readers/hive/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hive/llama_index/readers/hive/base.py",
"repo_id": "llama_index",
"token_count": 895
} | 1,312 |
Tokenizers
====================================================================================================
Fast State-of-the-art tokenizers, optimized for both research and production
`🤗 Tokenizers`_ provides an implementation of today's most used tokenizers, with
a focus on performance and versatility. These t... | tokenizers/docs/source/index.rst/0 | {
"file_path": "tokenizers/docs/source/index.rst",
"repo_id": "tokenizers",
"token_count": 404
} | 458 |
from langchain_community.retrievers.google_vertex_ai_search import (
GoogleCloudEnterpriseSearchRetriever,
GoogleVertexAIMultiTurnSearchRetriever,
GoogleVertexAISearchRetriever,
)
__all__ = [
"GoogleVertexAISearchRetriever",
"GoogleVertexAIMultiTurnSearchRetriever",
"GoogleCloudEnterpriseSearch... | langchain/libs/langchain/langchain/retrievers/google_vertex_ai_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/google_vertex_ai_search.py",
"repo_id": "langchain",
"token_count": 123
} | 567 |
from dataclasses import dataclass
from typing import Any, Dict, List
import numpy as np
from llama_index.core.response import Response
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.bridge.pydantic import Field
from llama_index.core.query_engine import CustomQueryEngine
from llama_ind... | llama_index/llama-index-packs/llama-index-packs-self-rag/llama_index/packs/self_rag/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-self-rag/llama_index/packs/self_rag/base.py",
"repo_id": "llama_index",
"token_count": 4669
} | 1,727 |
<!---
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/examples/tensorflow/benchmarking/README.md/0 | {
"file_path": "transformers/examples/tensorflow/benchmarking/README.md",
"repo_id": "transformers",
"token_count": 493
} | 561 |
"""Load documents from Evernote.
https://gist.github.com/foxmask/7b29c43a161e001ff04afdb2f181e31c
"""
import hashlib
import logging
from base64 import b64decode
from time import strptime
from typing import Any, Dict, Iterator, List, Optional
from langchain_core.documents import Document
from langchain_community.docu... | langchain/libs/community/langchain_community/document_loaders/evernote.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/evernote.py",
"repo_id": "langchain",
"token_count": 2605
} | 231 |
import sys
from typing import Any, Dict, List
from unittest.mock import MagicMock, patch
import pytest
from langchain_community.embeddings import GradientEmbeddings
_MODEL_ID = "my_model_valid_id"
_GRADIENT_SECRET = "secret_valid_token_123456"
_GRADIENT_WORKSPACE_ID = "valid_workspace_12345"
_GRADIENT_BASE_URL = "ht... | langchain/libs/community/tests/unit_tests/embeddings/test_gradient_ai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/embeddings/test_gradient_ai.py",
"repo_id": "langchain",
"token_count": 1861
} | 404 |
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... | transformers/src/transformers/models/deprecated/transfo_xl/modeling_transfo_xl.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/transfo_xl/modeling_transfo_xl.py",
"repo_id": "transformers",
"token_count": 25754
} | 659 |
"""Wolfram Alpha tool spec."""
import urllib.parse
from typing import Optional
import requests
from llama_index.core.tools.tool_spec.base import BaseToolSpec
QUERY_URL_TMPL = "http://api.wolframalpha.com/v1/result?appid={app_id}&i={query}"
class WolframAlphaToolSpec(BaseToolSpec):
"""Wolfram Alpha tool spec.""... | llama_index/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/llama_index/tools/wolfram_alpha/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/llama_index/tools/wolfram_alpha/base.py",
"repo_id": "llama_index",
"token_count": 441
} | 1,588 |
# 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 applicabl... | trl/tests/testing_utils.py/0 | {
"file_path": "trl/tests/testing_utils.py",
"repo_id": "trl",
"token_count": 1062
} | 791 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,386 |
import ast
from typing import List, Optional
from llama_index.core.tools.tool_spec.base import BaseToolSpec
class PythonFileToolSpec(BaseToolSpec):
spec_functions = ["function_definitions", "get_function", "get_functions"]
def __init__(self, file_name: str) -> None:
f = open(file_name).read()
... | llama_index/llama-index-integrations/tools/llama-index-tools-python-file/llama_index/tools/python_file/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-python-file/llama_index/tools/python_file/base.py",
"repo_id": "llama_index",
"token_count": 838
} | 1,498 |
"""Test String Iterable Reader."""
from llama_index.core.readers.string_iterable import StringIterableReader
def test_load() -> None:
"""Test loading data into StringIterableReader."""
reader = StringIterableReader()
documents = reader.load_data(texts=["I went to the store", "I bought an apple"])
ass... | llama_index/llama-index-core/tests/readers/test_string_iterable.py/0 | {
"file_path": "llama_index/llama-index-core/tests/readers/test_string_iterable.py",
"repo_id": "llama_index",
"token_count": 108
} | 1,242 |
import {
InputValues,
OutputValues,
MemoryVariables,
getInputValue,
getOutputValue,
} from "@langchain/core/memory";
import { getBufferString } from "@langchain/core/messages";
import {
AsyncCaller,
AsyncCallerParams,
} from "@langchain/core/utils/async_caller";
import { BaseChatMemory, BaseChatMemoryInpu... | langchainjs/libs/langchain-community/src/memory/motorhead_memory.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/memory/motorhead_memory.ts",
"repo_id": "langchainjs",
"token_count": 1937
} | 961 |
"""Redis Ingestion Pipeline Completion pack."""
from typing import Any, Dict, List
from llama_index.core.ingestion.cache import IngestionCache
from llama_index.core.ingestion.pipeline import IngestionPipeline
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.schema import BaseNode, Tra... | llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/llama_index/packs/redis_ingestion_pipeline/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/llama_index/packs/redis_ingestion_pipeline/base.py",
"repo_id": "llama_index",
"token_count": 815
} | 1,589 |
"""Custom agent worker."""
import uuid
from abc import abstractmethod
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
cast,
)
from llama_index.legacy.agent.types import (
BaseAgentWorker,
Task,
TaskStep,
TaskStepOutput,
)
from llama_index.lega... | llama_index/llama-index-legacy/llama_index/legacy/agent/custom/simple.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/custom/simple.py",
"repo_id": "llama_index",
"token_count": 3760
} | 1,575 |
"""CSV toolkit."""
| langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/csv/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/csv/__init__.py",
"repo_id": "langchain",
"token_count": 8
} | 411 |
package proxy
import (
"context"
"fmt"
"strings"
"go.uber.org/zap"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/metadata"
"google.golang.org/grpc/status"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/metrics"
"github.com/milvus-io/milvus/pkg/util"
"github.com/milvus-io/m... | milvus/internal/proxy/authentication_interceptor.go/0 | {
"file_path": "milvus/internal/proxy/authentication_interceptor.go",
"repo_id": "milvus",
"token_count": 1317
} | 1,823 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,669 |
import assert from "assert";
import { OpenAI } from "langchain/llms/openai";
import { LLMChain } from "langchain/chains";
import { ChatPromptTemplate } from "langchain/prompts";
import { loadPrompt } from "langchain/prompts/load";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { OpenAIEmbeddi... | langchainjs/environment_tests/test-exports-bun/src/index.ts/0 | {
"file_path": "langchainjs/environment_tests/test-exports-bun/src/index.ts",
"repo_id": "langchainjs",
"token_count": 723
} | 774 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py",
"repo_id": "transformers",
"token_count": 11989
} | 551 |
from rag_timescale_conversation.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-timescale-conversation/rag_timescale_conversation/__init__.py/0 | {
"file_path": "langchain/templates/rag-timescale-conversation/rag_timescale_conversation/__init__.py",
"repo_id": "langchain",
"token_count": 23
} | 669 |
from langchain_community.retrievers.embedchain import EmbedchainRetriever
__all__ = ["EmbedchainRetriever"]
| langchain/libs/langchain/langchain/retrievers/embedchain.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/embedchain.py",
"repo_id": "langchain",
"token_count": 34
} | 531 |
# Telegram
>[Telegram Messenger](https://web.telegram.org/a/) is a globally accessible freemium, cross-platform, encrypted, cloud-based and centralized instant messaging service. The application also provides optional end-to-end encrypted chats and video calling, VoIP, file sharing and several other features.
## Ins... | langchain/docs/docs/integrations/providers/telegram.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/telegram.mdx",
"repo_id": "langchain",
"token_count": 166
} | 158 |
export async function share(url: string, title: string) {
if (navigator.share) {
navigator.share({ url, title });
} else {
await navigator.clipboard.writeText(url);
}
}
| chat-ui/src/lib/utils/share.ts/0 | {
"file_path": "chat-ui/src/lib/utils/share.ts",
"repo_id": "chat-ui",
"token_count": 63
} | 113 |
import builtins
import json
from typing import Optional, Type, Union
from langchain_core.callbacks import AsyncCallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_community.tools.ainetwork.base import AINBaseTool, OperationType
class ValueSchema(BaseModel):
"""Schema... | langchain/libs/community/langchain_community/tools/ainetwork/value.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/ainetwork/value.py",
"repo_id": "langchain",
"token_count": 1036
} | 277 |
"""Spark SQL agent."""
| langchain/libs/community/langchain_community/agent_toolkits/spark_sql/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/spark_sql/__init__.py",
"repo_id": "langchain",
"token_count": 8
} | 214 |
# coding=utf-8
# Copyright 2022 {{cookiecutter.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/lice... | transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_fast_{{cookiecutter.lowercase_modelname}}.py/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_fast_{{cookiecutter.lowercase_modelname}}.py",
"repo_id": "transformers",
"token_count": 2997
} | 721 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "storage/upstash_redis",
});
export * from "@langchain/community/storage/upstash_redis";
| langchainjs/langchain/src/storage/upstash_redis.ts/0 | {
"file_path": "langchainjs/langchain/src/storage/upstash_redis.ts",
"repo_id": "langchainjs",
"token_count": 78
} | 937 |
# coding=utf-8
# Copyright 2021 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/data2vec/convert_data2vec_audio_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/data2vec/convert_data2vec_audio_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4725
} | 587 |
from langchain_core.language_models.base import LanguageModelLike
from langchain_core.messages import SystemMessage
from langgraph.checkpoint import BaseCheckpointSaver
from langgraph.graph import END
from langgraph.graph.message import MessageGraph
def get_chatbot_executor(
llm: LanguageModelLike,
system_mes... | opengpts/backend/app/chatbot.py/0 | {
"file_path": "opengpts/backend/app/chatbot.py",
"repo_id": "opengpts",
"token_count": 234
} | 2,136 |
#!/usr/bin/env bash
# Copyright 2019 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | milvus/build/docker/krte/wrapper.sh/0 | {
"file_path": "milvus/build/docker/krte/wrapper.sh",
"repo_id": "milvus",
"token_count": 1892
} | 1,695 |
"""ReAct output parser."""
import re
from typing import Tuple
from llama_index.core.agent.react.types import (
ActionReasoningStep,
BaseReasoningStep,
ResponseReasoningStep,
)
from llama_index.core.output_parsers.utils import extract_json_str
from llama_index.core.types import BaseOutputParser
def extr... | llama_index/llama-index-core/llama_index/core/agent/react/output_parser.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/react/output_parser.py",
"repo_id": "llama_index",
"token_count": 1494
} | 1,197 |
"""Zendesk reader."""
import json
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class ZendeskReader(BaseReader):
"""Zendesk reader. Reads data from a Zendesk workspace.
Args:
zendesk_subdomain (str): Zendesk subdomain
... | llama_index/llama-index-integrations/readers/llama-index-readers-zendesk/llama_index/readers/zendesk/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-zendesk/llama_index/readers/zendesk/base.py",
"repo_id": "llama_index",
"token_count": 1136
} | 1,579 |
python_sources()
| llama_index/llama-index-core/llama_index/core/indices/knowledge_graph/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/knowledge_graph/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,123 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,362 |
import { test } from "@jest/globals";
import { HNLoader } from "../web/hn.js";
test("Test Hacker News loader", async () => {
const loader = new HNLoader("https://news.ycombinator.com/item?id=34817881");
await loader.load();
});
| langchainjs/langchain/src/document_loaders/tests/hn.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/hn.int.test.ts",
"repo_id": "langchainjs",
"token_count": 82
} | 943 |
# coding=utf-8
# Copyright 2021 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/speech_to_text/processing_speech_to_text.py/0 | {
"file_path": "transformers/src/transformers/models/speech_to_text/processing_speech_to_text.py",
"repo_id": "transformers",
"token_count": 1792
} | 723 |
// 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/commonpbutil/commonpbutil.go/0 | {
"file_path": "milvus/pkg/util/commonpbutil/commonpbutil.go",
"repo_id": "milvus",
"token_count": 859
} | 1,928 |
import type { CSPair } from "ansi-styles";
import styles from "ansi-styles";
import { BaseTracer, type AgentRun, type Run } from "./base.js";
function wrap(style: CSPair, text: string) {
return `${style.open}${text}${style.close}`;
}
function tryJsonStringify(obj: unknown, fallback: string) {
try {
return JSO... | langchainjs/langchain-core/src/tracers/console.ts/0 | {
"file_path": "langchainjs/langchain-core/src/tracers/console.ts",
"repo_id": "langchainjs",
"token_count": 3387
} | 841 |
// 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/proxyutil/proxy_client_manager.go/0 | {
"file_path": "milvus/internal/util/proxyutil/proxy_client_manager.go",
"repo_id": "milvus",
"token_count": 4173
} | 1,875 |
"""Notebook utils."""
from collections import defaultdict
from typing import List, Optional, Tuple
import pandas as pd
from llama_index.core.evaluation import EvaluationResult
from llama_index.core.evaluation.retrieval.base import RetrievalEvalResult
DEFAULT_METRIC_KEYS = ["hit_rate", "mrr"]
def get_retrieval_resu... | llama_index/llama-index-core/llama_index/core/evaluation/notebook_utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/notebook_utils.py",
"repo_id": "llama_index",
"token_count": 1000
} | 1,117 |
# order by contributions
reviewers:
- cydrain
- yhmo
- xiaocai2333
- sunby
approvers:
- maintainers
| milvus/cmd/OWNERS/0 | {
"file_path": "milvus/cmd/OWNERS",
"repo_id": "milvus",
"token_count": 45
} | 1,718 |
// 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_test.go/0 | {
"file_path": "milvus/internal/datacoord/indexnode_manager_test.go",
"repo_id": "milvus",
"token_count": 2371
} | 1,693 |
<jupyter_start><jupyter_text>Open Document Format (ODT)>The [Open Document Format for Office Applications (ODF)](https://en.wikipedia.org/wiki/OpenDocument), also known as `OpenDocument`, is an open file format for word processing documents, spreadsheets, presentations and graphics and using ZIP-compressed XML files. I... | langchain/docs/docs/integrations/document_loaders/odt.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/odt.ipynb",
"repo_id": "langchain",
"token_count": 279
} | 117 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import { jest, test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { AzureCosmosDBVectorStore } from "../azure_cosmosdb.js";
// Mock mongodb client
const... | langchainjs/libs/langchain-community/src/vectorstores/tests/azure_cosmosdb.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/azure_cosmosdb.test.ts",
"repo_id": "langchainjs",
"token_count": 2033
} | 1,016 |
<jupyter_start><jupyter_text>🧨 Fast Stable Diffusion in free Colab with JAX / Flax on TPU!🤗 Hugging Face [Diffusers](https://github.com/huggingface/diffusers) supports Flax since version `0.5.1`! This allows for snappy inference on Google TPUs, such as those available in Colab, Kaggle or through Google Cloud Platform... | notebooks/diffusers/stable_diffusion_fast_jax.ipynb/0 | {
"file_path": "notebooks/diffusers/stable_diffusion_fast_jax.ipynb",
"repo_id": "notebooks",
"token_count": 1808
} | 301 |
"""Init params."""
| llama_index/llama-index-core/llama_index/core/agent/legacy/react/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/legacy/react/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,174 |
from llama_index.packs.deeplake_deepmemory_retriever.base import DeepMemoryRetrieverPack
__all__ = ["DeepMemoryRetrieverPack"]
| llama_index/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/llama_index/packs/deeplake_deepmemory_retriever/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/llama_index/packs/deeplake_deepmemory_retriever/__init__.py",
"repo_id": "llama_index",
"token_count": 43
} | 1,650 |
python_sources()
| llama_index/llama-index-core/llama_index/core/readers/file/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/readers/file/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,202 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,627 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Webサーバー用のパイプラインの使用
<Tip>
推論エンジンの作成は複雑なトピックであり、"最適な"ソリューションはおそらく問題の領域に依存するでしょう。CPUまたはGPUを使用していますか？最低のレイテンシ、最高のスループット、多くのモデルのサポート、または特定のモデルの高度な最適化を望... | transformers/docs/source/ja/pipeline_webserver.md/0 | {
"file_path": "transformers/docs/source/ja/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 3398
} | 547 |
# 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/blip_2/convert_blip_2_original_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/blip_2/convert_blip_2_original_to_pytorch.py",
"repo_id": "transformers",
"token_count": 5162
} | 614 |
# Copyright 2024 Katherine Crowson 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/LICENSE-2.0
#
# Unless... | diffusers/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py",
"repo_id": "diffusers",
"token_count": 8875
} | 271 |
"""Test Konko API wrapper.
In order to run this test, you need to have an Konko api key.
You'll then need to set KONKO_API_KEY environment variable to your api key.
"""
import pytest as pytest
from langchain_community.llms import Konko
def test_konko_call() -> None:
"""Test simple call to konko."""
llm = Ko... | langchain/libs/community/tests/integration_tests/llms/test_konko.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_konko.py",
"repo_id": "langchain",
"token_count": 402
} | 364 |
// 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/validate.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/validate.go",
"repo_id": "milvus",
"token_count": 1089
} | 1,996 |
import langchain_core.tracers.schemas as schemas
from langchain_core.tracers.schemas import __all__ as schemas_all
def test_public_api() -> None:
"""Test for changes in the public API."""
expected_all = [
"BaseRun",
"ChainRun",
"LLMRun",
"Run",
"RunTypeEnum",
"T... | langchain/libs/core/tests/unit_tests/tracers/test_schemas.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/tracers/test_schemas.py",
"repo_id": "langchain",
"token_count": 330
} | 440 |
# 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... | transformers/src/transformers/models/sew/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/sew/__init__.py",
"repo_id": "transformers",
"token_count": 679
} | 658 |
#!/usr/bin/env python
# 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/LI... | transformers/examples/tensorflow/language-modeling-tpu/train_unigram.py/0 | {
"file_path": "transformers/examples/tensorflow/language-modeling-tpu/train_unigram.py",
"repo_id": "transformers",
"token_count": 1489
} | 583 |
from llama_index.readers.azcognitive_search.base import AzCognitiveSearchReader
__all__ = ["AzCognitiveSearchReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/llama_index/readers/azcognitive_search/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/llama_index/readers/azcognitive_search/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,295 |
<jupyter_start><jupyter_text>BabyAGI with ToolsThis notebook builds on top of [baby agi](baby_agi.html), but shows how you can swap out the execution chain. The previous execution chain was just an LLM which made stuff up. By swapping it out with an agent that has access to tools, we can hopefully get real reliable inf... | langchain/cookbook/baby_agi_with_agent.ipynb/0 | {
"file_path": "langchain/cookbook/baby_agi_with_agent.ipynb",
"repo_id": "langchain",
"token_count": 1471
} | 75 |
"""Jina embeddings file."""
from typing import Any, List, Optional
import requests
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.base import CallbackManager
from lla... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/llama_index/embeddings/jinaai/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/llama_index/embeddings/jinaai/base.py",
"repo_id": "llama_index",
"token_count": 1794
} | 1,279 |
---
hide_table_of_contents: true
---
# Hacker News
This example goes over how to load data from the hacker news website, using Cheerio. One document will be created for each page.
## Setup
```bash npm2yarn
npm install cheerio
```
## Usage
```typescript
import { HNLoader } from "langchain/document_loaders/web/hn";... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/hn.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/hn.mdx",
"repo_id": "langchainjs",
"token_count": 147
} | 715 |
"""Reorder documents"""
from typing import Any, List, Sequence
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_core.pydantic_v1 import BaseModel
def _litm_reordering(documents: List[Document]) -> List[Document]:
"""Lost in the middle reorder: the less relevant documents will... | langchain/libs/community/langchain_community/document_transformers/long_context_reorder.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/long_context_reorder.py",
"repo_id": "langchain",
"token_count": 486
} | 254 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/nat/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/nat/__init__.py",
"repo_id": "transformers",
"token_count": 657
} | 637 |
"""Test NLPCloud API wrapper."""
from pathlib import Path
from typing import cast
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture, MonkeyPatch
from langchain_community.llms.loading import load_llm
from langchain_community.llms.nlpcloud import NLPCloud
from tests.integration_tests.l... | langchain/libs/community/tests/integration_tests/llms/test_nlpcloud.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_nlpcloud.py",
"repo_id": "langchain",
"token_count": 536
} | 372 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_flax_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_flax_inpaint.py",
"repo_id": "diffusers",
"token_count": 1259
} | 267 |
""" PyTorch LARS / LARC Optimizer
An implementation of LARS (SGD) + LARC in PyTorch
Based on:
* PyTorch SGD: https://github.com/pytorch/pytorch/blob/1.7/torch/optim/sgd.py#L100
* NVIDIA APEX LARC: https://github.com/NVIDIA/apex/blob/master/apex/parallel/LARC.py
Additional cleanup and modifications to properly su... | pytorch-image-models/timm/optim/lars.py/0 | {
"file_path": "pytorch-image-models/timm/optim/lars.py",
"repo_id": "pytorch-image-models",
"token_count": 2571
} | 406 |
{
"dependencies": {
"chromadb": "^1.5.3",
"cohere-ai": "^6.2.2"
}
}
| chroma/examples/use_with/cohere/package.json/0 | {
"file_path": "chroma/examples/use_with/cohere/package.json",
"repo_id": "chroma",
"token_count": 49
} | 45 |
"""Test voyage embeddings."""
from langchain_community.embeddings.voyageai import VoyageEmbeddings
# Please set VOYAGE_API_KEY in the environment variables
MODEL = "voyage-01"
def test_voyagi_embedding_documents() -> None:
"""Test voyage embeddings."""
documents = ["foo bar"]
embedding = VoyageEmbeddings... | langchain/libs/community/tests/integration_tests/embeddings/test_voyageai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_voyageai.py",
"repo_id": "langchain",
"token_count": 374
} | 350 |
use crate::benchmarks::{BenchDevice, BenchDeviceHandler};
use candle_core::{DType, Device, Tensor};
use criterion::{black_box, criterion_group, Criterion, Throughput};
use std::time::Instant;
fn run(a: &Tensor) {
a.affine(12.34, 56.78).unwrap();
}
fn run_affine_benchmark(c: &mut Criterion, device: &Device, dtype:... | candle/candle-core/benches/benchmarks/affine.rs/0 | {
"file_path": "candle/candle-core/benches/benchmarks/affine.rs",
"repo_id": "candle",
"token_count": 591
} | 31 |
---
sidebar_position: 2
---
# Chatbots
## Overview
Chatbots are one of the most popular use-cases for LLMs. The core features of chatbots are that they can have long-running, stateful conversations and can answer user questions using relevant information.
## Architectures
Designing a chatbot involves considering v... | langchainjs/docs/core_docs/docs/use_cases/chatbots/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/chatbots/index.mdx",
"repo_id": "langchainjs",
"token_count": 437
} | 754 |
# LlamaIndex Vector_Stores Integration: Weaviate
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,682 |
"""Test Fireworks chat model"""
import sys
import pytest
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langchain_community.llms import Fireworks
if sys.version_info < (3, 9):
pytest.skip("fireworks-ai requires Python > 3.8", allow_module_level=True)
@pytest.mark.requi... | langchain/libs/community/tests/unit_tests/llms/test_fireworks.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_fireworks.py",
"repo_id": "langchain",
"token_count": 293
} | 398 |
from __future__ import annotations
import copy
import json
import logging
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
Literal,
Optional,
TypedDict,
Union,
overload,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
... | langchain/libs/community/langchain_community/llms/openllm.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/openllm.py",
"repo_id": "langchain",
"token_count": 5148
} | 272 |
# Consuming Text Generation Inference
There are many ways you can consume Text Generation Inference server in your applications. After launching, you can use the `/generate` route and make a `POST` request to get results from the server. You can also use the `/generate_stream` route if you want TGI to return a stream ... | text-generation-inference/docs/source/basic_tutorials/consuming_tgi.md/0 | {
"file_path": "text-generation-inference/docs/source/basic_tutorials/consuming_tgi.md",
"repo_id": "text-generation-inference",
"token_count": 2274
} | 370 |
//go:build linux
// +build linux
package accesslog
import (
"os"
"syscall"
)
func chown(name string, info os.FileInfo) error {
f, err := os.OpenFile(name, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, info.Mode())
if err != nil {
return err
}
f.Close()
stat := info.Sys().(*syscall.Stat_t)
return os.Chown(name, int(s... | milvus/internal/proxy/accesslog/chown_linux.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/chown_linux.go",
"repo_id": "milvus",
"token_count": 153
} | 1,733 |
import { base } from "$app/paths";
import { ERROR_MESSAGES, error } from "$lib/stores/errors";
import { share } from "./utils/share";
import { page } from "$app/stores";
import { get } from "svelte/store";
import { getShareUrl } from "./utils/getShareUrl";
export async function shareConversation(id: string, title: stri... | chat-ui/src/lib/shareConversation.ts/0 | {
"file_path": "chat-ui/src/lib/shareConversation.ts",
"repo_id": "chat-ui",
"token_count": 359
} | 93 |
# Query Engines
| llama_index/docs/community/faq/query_engines.md/0 | {
"file_path": "llama_index/docs/community/faq/query_engines.md",
"repo_id": "llama_index",
"token_count": 5
} | 1,084 |
"""O365 tool utils."""
from __future__ import annotations
import logging
import os
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from amadeus import Client
logger = logging.getLogger(__name__)
def authenticate() -> Client:
"""Authenticate using the Amadeus API"""
try:
from amadeus import C... | langchain/libs/community/langchain_community/tools/amadeus/utils.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/amadeus/utils.py",
"repo_id": "langchain",
"token_count": 521
} | 281 |
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