text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<jupyter_start><jupyter_text>Use LangChain, GPT and Activeloop's Deep Lake to work with code baseIn this tutorial, we are going to use Langchain + Activeloop's Deep Lake with GPT to analyze the code base of the LangChain itself. Design 1. Prepare data: 1. Upload all python project files using the `langchain_communi... | langchain/cookbook/code-analysis-deeplake.ipynb/0 | {
"file_path": "langchain/cookbook/code-analysis-deeplake.ipynb",
"repo_id": "langchain",
"token_count": 2531
} | 70 |
"""
Metadata extractors for nodes.
Currently, only `TextNode` is supported.
Supported metadata:
Node-level:
- `SummaryExtractor`: Summary of each node, and pre and post nodes
- `QuestionsAnsweredExtractor`: Questions that the node can answer
- `KeywordsExtractor`: Keywords that uniquely identify the node
D... | llama_index/llama-index-core/llama_index/core/extractors/metadata_extractors.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/extractors/metadata_extractors.py",
"repo_id": "llama_index",
"token_count": 6927
} | 1,125 |
from .version import __version__
from .layers import is_scriptable, is_exportable, set_scriptable, set_exportable
from .models import create_model, list_models, list_pretrained, is_model, list_modules, model_entrypoint, \
is_model_pretrained, get_pretrained_cfg, get_pretrained_cfg_value
| pytorch-image-models/timm/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 91
} | 385 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/observers/collection_observer.go/0 | {
"file_path": "milvus/internal/querycoordv2/observers/collection_observer.go",
"repo_id": "milvus",
"token_count": 2837
} | 1,833 |
<!--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/main_classes/configuration.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/configuration.md",
"repo_id": "transformers",
"token_count": 332
} | 494 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,422 |
""" Script for downloading all GLUE data.
Original source: https://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized,
or you can download the original data from (https://... | transformers/utils/download_glue_data.py/0 | {
"file_path": "transformers/utils/download_glue_data.py",
"repo_id": "transformers",
"token_count": 3917
} | 777 |
# coding=utf-8
# Copyright 2018 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 License.
# You may obtain a copy of the License at
#
# http://www.a... | transformers/src/transformers/benchmark/benchmark_args_tf.py/0 | {
"file_path": "transformers/src/transformers/benchmark/benchmark_args_tf.py",
"repo_id": "transformers",
"token_count": 2097
} | 567 |
// 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/tests/integration/upsert/upsert_test.go/0 | {
"file_path": "milvus/tests/integration/upsert/upsert_test.go",
"repo_id": "milvus",
"token_count": 1935
} | 2,101 |
from llama_index.packs.multidoc_autoretrieval.base import MultiDocAutoRetrieverPack
__all__ = ["MultiDocAutoRetrieverPack"]
| llama_index/llama-index-packs/llama-index-packs-multidoc-autoretrieval/llama_index/packs/multidoc_autoretrieval/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multidoc-autoretrieval/llama_index/packs/multidoc_autoretrieval/__init__.py",
"repo_id": "llama_index",
"token_count": 42
} | 1,713 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it.<jupyter_code>#! pip install datasets transformers<jupyter_output><empty_output><jupyter_text>If you're opening this notebook locally, make su... | notebooks/examples/language_modeling.ipynb/0 | {
"file_path": "notebooks/examples/language_modeling.ipynb",
"repo_id": "notebooks",
"token_count": 7093
} | 319 |
/usr/lib/milvus
| milvus/build/deb/scripts/milvus.conf/0 | {
"file_path": "milvus/build/deb/scripts/milvus.conf",
"repo_id": "milvus",
"token_count": 9
} | 1,694 |
from typing import Any, Dict, List, Union
from langchain.memory import ChatMessageHistory
from langchain.schema import AIMessage, HumanMessage
from langchain_community.graphs import Neo4jGraph
graph = Neo4jGraph()
def convert_messages(input: List[Dict[str, Any]]) -> ChatMessageHistory:
history = ChatMessageHist... | langchain/templates/neo4j-vector-memory/neo4j_vector_memory/history.py/0 | {
"file_path": "langchain/templates/neo4j-vector-memory/neo4j_vector_memory/history.py",
"repo_id": "langchain",
"token_count": 1125
} | 716 |
"""Token predictor utils."""
from typing import Optional
from llama_index.legacy.indices.keyword_table.utils import simple_extract_keywords
def mock_extract_keywords_response(
text_chunk: str, max_keywords: Optional[int] = None, filter_stopwords: bool = True
) -> str:
"""Extract keywords mock response.
... | llama_index/llama-index-legacy/llama_index/legacy/token_counter/utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/token_counter/utils.py",
"repo_id": "llama_index",
"token_count": 354
} | 1,606 |
"""Mock utils for query transform."""
from llama_index.core.indices.query.query_transform.prompts import (
DecomposeQueryTransformPrompt,
)
from llama_index.core.prompts.prompt_type import PromptType
MOCK_DECOMPOSE_TMPL = "{context_str}\n{query_str}"
MOCK_DECOMPOSE_PROMPT = DecomposeQueryTransformPrompt(
MOCK... | llama_index/llama-index-core/tests/indices/query/query_transform/mock_utils.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/query/query_transform/mock_utils.py",
"repo_id": "llama_index",
"token_count": 139
} | 1,231 |
import {
BaseLanguageModel,
BaseLanguageModelInterface,
BaseLanguageModelInput,
} from "@langchain/core/language_models/base";
import type { ChainValues } from "@langchain/core/utils/types";
import type { Generation } from "@langchain/core/outputs";
import type { BaseMessage } from "@langchain/core/messages";
imp... | langchainjs/langchain/src/chains/llm_chain.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/llm_chain.ts",
"repo_id": "langchainjs",
"token_count": 2872
} | 880 |
from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import BaseModel, Extra
# Ignoring ty... | langchain/libs/community/langchain_community/llms/javelin_ai_gateway.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/javelin_ai_gateway.py",
"repo_id": "langchain",
"token_count": 2152
} | 282 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,275 |
"""Implementation of the RunnablePassthrough."""
from __future__ import annotations
import asyncio
import inspect
import threading
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Awaitable,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
Type,
Union,
cast,... | langchain/libs/core/langchain_core/runnables/passthrough.py/0 | {
"file_path": "langchain/libs/core/langchain_core/runnables/passthrough.py",
"repo_id": "langchain",
"token_count": 10477
} | 397 |
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.utilities.vertexai import get_client_info
if TYPE_CHECKING:
from google.cloud.speech_v2 impo... | langchain/libs/community/langchain_community/document_loaders/google_speech_to_text.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/google_speech_to_text.py",
"repo_id": "langchain",
"token_count": 2173
} | 248 |
import torch
from diffusers import DPMSolverSDEScheduler
from diffusers.utils.testing_utils import require_torchsde, torch_device
from .test_schedulers import SchedulerCommonTest
@require_torchsde
class DPMSolverSDESchedulerTest(SchedulerCommonTest):
scheduler_classes = (DPMSolverSDEScheduler,)
num_inferenc... | diffusers/tests/schedulers/test_scheduler_dpm_sde.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_dpm_sde.py",
"repo_id": "diffusers",
"token_count": 3050
} | 296 |
fast27_timesteps = [
999,
800,
799,
600,
599,
500,
400,
399,
377,
355,
333,
311,
288,
266,
244,
222,
200,
199,
177,
155,
133,
111,
88,
66,
44,
22,
0,
]
smart27_timesteps = [
999,
976,
952,
928,
... | diffusers/src/diffusers/pipelines/deepfloyd_if/timesteps.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deepfloyd_if/timesteps.py",
"repo_id": "diffusers",
"token_count": 3772
} | 220 |
# coding=utf-8
# 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 requir... | transformers/src/transformers/models/clvp/modeling_clvp.py/0 | {
"file_path": "transformers/src/transformers/models/clvp/modeling_clvp.py",
"repo_id": "transformers",
"token_count": 39370
} | 593 |
import unittest
import pytest
import langsmith.utils as ls_utils
class LangSmithProjectNameTest(unittest.TestCase):
class GetTracerProjectTestCase:
def __init__(
self, test_name, envvars, expected_project_name, return_default_value=None
):
self.test_name = test_name
... | langsmith-sdk/python/tests/unit_tests/test_utils.py/0 | {
"file_path": "langsmith-sdk/python/tests/unit_tests/test_utils.py",
"repo_id": "langsmith-sdk",
"token_count": 1537
} | 1,023 |
<!--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/model_doc/rwkv.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/rwkv.md",
"repo_id": "transformers",
"token_count": 2548
} | 500 |
"""
SEResNet implementation from Cadene's pretrained models
https://github.com/Cadene/pretrained-models.pytorch/blob/master/pretrainedmodels/models/senet.py
Additional credit to https://github.com/creafz
Original model: https://github.com/hujie-frank/SENet
ResNet code gently borrowed from
https://github.com/pytorch/v... | pytorch-image-models/timm/models/senet.py/0 | {
"file_path": "pytorch-image-models/timm/models/senet.py",
"repo_id": "pytorch-image-models",
"token_count": 8344
} | 382 |
import chromadb
import chromadb.config
from chromadb.server.fastapi import FastAPI
settings = chromadb.config.Settings()
server = FastAPI(settings)
app = server.app()
| chroma/chromadb/app.py/0 | {
"file_path": "chroma/chromadb/app.py",
"repo_id": "chroma",
"token_count": 52
} | 13 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_processing.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_processing.py",
"repo_id": "text-generation-inference",
"token_count": 8157
} | 428 |
use candle::Result;
use candle_nn::{Conv1d, Conv1dConfig, VarBuilder};
// Applies weight norm for inference by recomputing the weight tensor. This
// does not apply to training.
// https://pytorch.org/docs/stable/generated/torch.nn.utils.weight_norm.html
pub fn conv1d_weight_norm(
in_c: usize,
out_c: usize,
... | candle/candle-examples/examples/musicgen/nn.rs/0 | {
"file_path": "candle/candle-examples/examples/musicgen/nn.rs",
"repo_id": "candle",
"token_count": 331
} | 52 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.airbyte_hubspot import AirbyteHubspotReader
def test_class():
names_of_base_classes = [b.__name__ for b in AirbyteHubspotReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/tests/test_readers_airbyte_hubspot.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/tests/test_readers_airbyte_hubspot.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,367 |
<!--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/ko/model_sharing.md/0 | {
"file_path": "transformers/docs/source/ko/model_sharing.md",
"repo_id": "transformers",
"token_count": 7557
} | 529 |
"""
This tool allows agents to interact with the pygithub library
and operate on a GitHub repository.
To use this tool, you must first set as environment variables:
GITHUB_API_TOKEN
GITHUB_REPOSITORY -> format: {owner}/{repo}
"""
from typing import Optional, Type
from langchain_core.callbacks import Callback... | langchain/libs/community/langchain_community/tools/github/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/github/tool.py",
"repo_id": "langchain",
"token_count": 406
} | 298 |
{
"openapi": "3.1.0",
"info": {
"title": "Wolfram",
"version": "v0.1"
},
"servers": [
{
"url": "https://www.wolframalpha.com",
"description": "Wolfram Server for ChatGPT"
}
],
"paths": {
"/api/v1/cloud-plugin": {
"get": {
"operationI... | langchain/libs/langchain/tests/unit_tests/examples/test_specs/wolframalpha/apispec.json/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/examples/test_specs/wolframalpha/apispec.json",
"repo_id": "langchain",
"token_count": 1773
} | 660 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team.
# Copyright (c) 2022, 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 License.
# You may obtain a copy of the License at
#
# http://www.a... | diffusers/src/diffusers/models/modeling_utils.py/0 | {
"file_path": "diffusers/src/diffusers/models/modeling_utils.py",
"repo_id": "diffusers",
"token_count": 21783
} | 244 |
# ArangoDB
>[ArangoDB](https://github.com/arangodb/arangodb) is a scalable graph database system to drive value from connected data, faster. Native graphs, an integrated search engine, and JSON support, via a single query language. ArangoDB runs on-prem, in the cloud – anywhere.
## Dependencies
Install the [ArangoDB... | langchain/docs/docs/integrations/providers/arangodb.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/arangodb.mdx",
"repo_id": "langchain",
"token_count": 221
} | 137 |
# 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_utilities.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/transfo_xl/modeling_transfo_xl_utilities.py",
"repo_id": "transformers",
"token_count": 5685
} | 648 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team 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 License.
# You may obtain a cop... | transformers/examples/research_projects/distillation/run_squad_w_distillation.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/run_squad_w_distillation.py",
"repo_id": "transformers",
"token_count": 15430
} | 598 |
import os
import random
import math
import string
import json
import time
import uuid
from functools import singledispatch
import numpy as np
import pandas as pd
from sklearn import preprocessing
from npy_append_array import NpyAppendArray
from faker import Faker
from pathlib import Path
from minio import Minio
from py... | milvus/tests/python_client/common/common_func.py/0 | {
"file_path": "milvus/tests/python_client/common/common_func.py",
"repo_id": "milvus",
"token_count": 31320
} | 1,966 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,254 |
from typing import TYPE_CHECKING
from langchain_community.document_loaders.parsers.language.tree_sitter_segmenter import ( # noqa: E501
TreeSitterSegmenter,
)
if TYPE_CHECKING:
from tree_sitter import Language
CHUNK_QUERY = """
[
(struct_specifier
body: (field_declaration_list)) @st... | langchain/libs/community/langchain_community/document_loaders/parsers/language/c.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/language/c.py",
"repo_id": "langchain",
"token_count": 370
} | 254 |
# coding=utf-8
# Copyright 2021 Deepmind 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/LICENSE-2.0... | transformers/src/transformers/models/perceiver/modeling_perceiver.py/0 | {
"file_path": "transformers/src/transformers/models/perceiver/modeling_perceiver.py",
"repo_id": "transformers",
"token_count": 62743
} | 705 |
<script lang="ts">
import { fade } from "svelte/transition";
import { onDestroy } from "svelte";
import IconChevron from "./icons/IconChevron.svelte";
export let scrollNode: HTMLElement;
export { className as class };
let visible = false;
let className = "";
let observer: ResizeObserver | null = null;
$: if... | chat-ui/src/lib/components/ScrollToBottomBtn.svelte/0 | {
"file_path": "chat-ui/src/lib/components/ScrollToBottomBtn.svelte",
"repo_id": "chat-ui",
"token_count": 460
} | 94 |
from typing import Any, Dict, List, Tuple
from unittest.mock import patch
from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.indices.list.retrievers import SummaryIndexEmbeddingRetriever
from llama_index.core.llms.mock import MockLLM
from llama_index.core.prompts import BasePromptTemplat... | llama_index/llama-index-core/tests/indices/list/test_retrievers.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/list/test_retrievers.py",
"repo_id": "llama_index",
"token_count": 1265
} | 1,188 |
<!--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/llm_tutorial.md/0 | {
"file_path": "transformers/docs/source/en/llm_tutorial.md",
"repo_id": "transformers",
"token_count": 4361
} | 474 |
import json
import pytest
from langchain_community.chat_message_histories.upstash_redis import (
UpstashRedisChatMessageHistory,
)
from langchain_core.messages import message_to_dict
from langchain.memory import ConversationBufferMemory
URL = "<UPSTASH_REDIS_REST_URL>"
TOKEN = "<UPSTASH_REDIS_REST_TOKEN>"
@pyt... | langchain/libs/langchain/tests/integration_tests/memory/test_upstash_redis.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/memory/test_upstash_redis.py",
"repo_id": "langchain",
"token_count": 446
} | 586 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mocks
import (
context "context"
grpc "google.golang.org/grpc"
grpcclient "github.com/milvus-io/milvus/internal/util/grpcclient"
mock "github.com/stretchr/testify/mock"
sessionutil "github.com/milvus-io/milvus/internal/util/sessionutil"
)
// MockGrp... | milvus/internal/mocks/mock_grpc_client.go/0 | {
"file_path": "milvus/internal/mocks/mock_grpc_client.go",
"repo_id": "milvus",
"token_count": 6006
} | 1,864 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/timesformer/convert_timesformer_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/timesformer/convert_timesformer_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4205
} | 730 |
<!--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/model_doc/pvt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/pvt.md",
"repo_id": "transformers",
"token_count": 1047
} | 492 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/test_image_transforms.py/0 | {
"file_path": "transformers/tests/test_image_transforms.py",
"repo_id": "transformers",
"token_count": 12379
} | 767 |
# PipelineAI
This page covers how to use the PipelineAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific PipelineAI wrappers.
## Installation and Setup
- Install with `pip install pipeline-ai`
- Get a Pipeline Cloud api key and set it as an environment ... | langchain/docs/docs/integrations/providers/pipelineai.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/pipelineai.mdx",
"repo_id": "langchain",
"token_count": 134
} | 149 |
# 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/mobilevit/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/mobilevit/__init__.py",
"repo_id": "transformers",
"token_count": 1380
} | 635 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-evaluator-benchmarker/llama_index/packs/evaluator_benchmarker/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-evaluator-benchmarker/llama_index/packs/evaluator_benchmarker/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,784 |
package sessionutil
import (
"context"
"encoding/json"
"fmt"
"math/rand"
"net/url"
"os"
"path"
"strconv"
"strings"
"sync"
"testing"
"time"
"github.com/blang/semver/v4"
"github.com/cockroachdb/errors"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
"github.com/stretchr/testi... | milvus/internal/util/sessionutil/session_util_test.go/0 | {
"file_path": "milvus/internal/util/sessionutil/session_util_test.go",
"repo_id": "milvus",
"token_count": 11927
} | 1,876 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/balance/score_based_balancer.go/0 | {
"file_path": "milvus/internal/querycoordv2/balance/score_based_balancer.go",
"repo_id": "milvus",
"token_count": 4037
} | 2,027 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/controlnet.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/controlnet.md",
"repo_id": "diffusers",
"token_count": 8405
} | 172 |
python_tests()
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,468 |
"""Slack toolkit."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/slack/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/slack/__init__.py",
"repo_id": "langchain",
"token_count": 8
} | 447 |
// 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/types/types.go/0 | {
"file_path": "milvus/internal/types/types.go",
"repo_id": "milvus",
"token_count": 3365
} | 1,894 |
<!--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/bertology.md/0 | {
"file_path": "transformers/docs/source/en/bertology.md",
"repo_id": "transformers",
"token_count": 640
} | 492 |
import json
import random
import string
from typing import Dict, Any, Tuple
import uuid
import hypothesis.strategies as st
import pytest
from hypothesis import given, settings
from chromadb import AdminClient
from chromadb.api import AdminAPI, ServerAPI
from chromadb.api.models.Collection import Collection
from chroma... | chroma/chromadb/test/auth/test_simple_rbac_authz.py/0 | {
"file_path": "chroma/chromadb/test/auth/test_simple_rbac_authz.py",
"repo_id": "chroma",
"token_count": 5404
} | 20 |
""" Setup
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
exec(open('timm/version.py'... | pytorch-image-models/setup.py/0 | {
"file_path": "pytorch-image-models/setup.py",
"repo_id": "pytorch-image-models",
"token_count": 675
} | 368 |
export { QAEvalChain } from "./eval_chain.js";
| langchainjs/langchain/src/evaluation/qa/index.ts/0 | {
"file_path": "langchainjs/langchain/src/evaluation/qa/index.ts",
"repo_id": "langchainjs",
"token_count": 17
} | 933 |
<jupyter_start><jupyter_text>Pandas Query EngineThis guide shows you how to use our `PandasQueryEngine`: convert natural language to Pandas python code using LLMs.The input to the `PandasQueryEngine` is a Pandas dataframe, and the output is a response. The LLM infers dataframe operations to perform in order to retrieve... | llama_index/docs/examples/query_engine/pandas_query_engine.ipynb/0 | {
"file_path": "llama_index/docs/examples/query_engine/pandas_query_engine.ipynb",
"repo_id": "llama_index",
"token_count": 1530
} | 1,159 |
OPENAI_API_KEY=placeholder
ANTHROPIC_API_KEY=placeholder
YDC_API_KEY=placeholder
TAVILY_API_KEY=placeholder
AZURE_OPENAI_DEPLOYMENT_NAME=placeholder
AZURE_OPENAI_API_KEY=placeholder
AZURE_OPENAI_API_BASE=placeholder
AZURE_OPENAI_API_VERSION=placeholder
ROBOCORP_ACTION_SERVER_URL=https://dummy-action-server.robocorp.lin... | opengpts/.env.example/0 | {
"file_path": "opengpts/.env.example",
"repo_id": "opengpts",
"token_count": 202
} | 1,911 |
# 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... | accelerate/src/accelerate/local_sgd.py/0 | {
"file_path": "accelerate/src/accelerate/local_sgd.py",
"repo_id": "accelerate",
"token_count": 1508
} | 10 |
<jupyter_start><jupyter_text>Anthropic If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-anthropic
!pip install llama-index<jupyter_output><empty_output><jupyter_text>Call `complete` with a prompt<jupyter_code>from llama_index.llms.anth... | llama_index/docs/examples/llm/anthropic.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/anthropic.ipynb",
"repo_id": "llama_index",
"token_count": 1879
} | 1,107 |
# 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... | transformers/tests/models/siglip/test_image_processor_siglip.py/0 | {
"file_path": "transformers/tests/models/siglip/test_image_processor_siglip.py",
"repo_id": "transformers",
"token_count": 1846
} | 840 |
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader,
)
from langchain_community.document_loaders.base import BaseLoader
class AzureBlobStorageContainerLoader(BaseLoader):
"""Load from `Azu... | langchain/libs/community/langchain_community/document_loaders/azure_blob_storage_container.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/azure_blob_storage_container.py",
"repo_id": "langchain",
"token_count": 650
} | 230 |
"""This tool allows agents to generate images using Steamship.
Steamship offers access to different third party image generation APIs
using a single API key.
Today the following models are supported:
- Dall-E
- Stable Diffusion
To use this tool, you must first set as environment variables:
STEAMSHIP_API_KEY
```
... | langchain/libs/community/langchain_community/tools/steamship_image_generation/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/steamship_image_generation/tool.py",
"repo_id": "langchain",
"token_count": 1394
} | 322 |
import CodeBlock from "@theme/CodeBlock";
# Together AI
Here's an example of calling a Together AI model as an LLM:
import TogetherAI from "@examples/models/llm/togetherai.ts";
import TogetherAIStream from "@examples/models/llm/togetherai_stream.ts";
<CodeBlock language="typescript">{TogetherAI}</CodeBlock>
:::inf... | langchainjs/docs/core_docs/docs/integrations/llms/togetherai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/togetherai.mdx",
"repo_id": "langchainjs",
"token_count": 301
} | 719 |
use crate::tokenizer::{Decoder, Result};
use serde::{Deserialize, Serialize};
#[derive(Deserialize, Clone, Debug, Serialize)]
/// The WordPiece decoder takes care of decoding a list of wordpiece tokens
/// back into a readable string.
#[serde(tag = "type")]
#[non_exhaustive]
pub struct WordPiece {
/// The prefix ... | tokenizers/tokenizers/src/decoders/wordpiece.rs/0 | {
"file_path": "tokenizers/tokenizers/src/decoders/wordpiece.rs",
"repo_id": "tokenizers",
"token_count": 1275
} | 479 |
/* eslint-disable no-promise-executor-return */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { z } from "zod";
import {
BaseCallbackConfig,
CallbackManagerForLLMRun,
CallbackManagerForToolRun,
} from "../../callbacks/manager.js";
import {
BaseChatMessageHistory,
BaseListChatMessageHistory,
}... | langchainjs/langchain-core/src/utils/testing/index.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/testing/index.ts",
"repo_id": "langchainjs",
"token_count": 4836
} | 836 |
from llama_index.legacy.storage.chat_store.base import BaseChatStore
from llama_index.legacy.storage.chat_store.simple_chat_store import SimpleChatStore
RECOGNIZED_CHAT_STORES = {
SimpleChatStore.class_name(): SimpleChatStore,
}
def load_chat_store(data: dict) -> BaseChatStore:
"""Load a chat store from a di... | llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/loading.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/loading.py",
"repo_id": "llama_index",
"token_count": 245
} | 1,642 |
.PHONY: quality style test
check_dirs := tests src benchmarks metrics utils
# Check that source code meets quality standards
quality:
ruff check $(check_dirs) setup.py # linter
ruff format --check $(check_dirs) setup.py # formatter
# Format source code automatically
style:
ruff check --fix $(check_dirs) setup.... | datasets/Makefile/0 | {
"file_path": "datasets/Makefile",
"repo_id": "datasets",
"token_count": 149
} | 126 |
metrics:
serviceMonitor:
enabled: true
log:
level: debug
proxy:
resources:
requests:
cpu: "0.3"
memory: "256Mi"
limits:
cpu: "1"
rootCoordinator:
resources:
requests:
cpu: "0.2"
memory: "256Mi"
limits:
cpu: "1"
queryCoordinator:
resources:
requests:
... | milvus/tests/scripts/values/ci/pr.yaml/0 | {
"file_path": "milvus/tests/scripts/values/ci/pr.yaml",
"repo_id": "milvus",
"token_count": 2026
} | 2,194 |
poetry_requirements(
name="poetry",
module_mapping={"nebula3-python": ["nebula3"]}
)
| llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/BUILD",
"repo_id": "llama_index",
"token_count": 42
} | 1,266 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/services.go/0 | {
"file_path": "milvus/internal/querycoordv2/services.go",
"repo_id": "milvus",
"token_count": 15174
} | 1,845 |
export const JSON_PREFIX = `You are an agent designed to interact with JSON.
Your goal is to return a final answer by interacting with the JSON.
You have access to the following tools which help you learn more about the JSON you are interacting with.
Only use the below tools. Only use the information returned by the be... | langchainjs/langchain/src/agents/toolkits/json/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/json/prompt.ts",
"repo_id": "langchainjs",
"token_count": 498
} | 873 |
# rag-momento-vector-index
This template performs RAG using Momento Vector Index (MVI) and OpenAI.
> MVI: the most productive, easiest to use, serverless vector index for your data. To get started with MVI, simply sign up for an account. There's no need to handle infrastructure, manage servers, or be concerned about ... | langchain/templates/rag-momento-vector-index/README.md/0 | {
"file_path": "langchain/templates/rag-momento-vector-index/README.md",
"repo_id": "langchain",
"token_count": 865
} | 681 |
from langchain_core.load.serializable import (
BaseSerialized,
Serializable,
SerializedConstructor,
SerializedNotImplemented,
SerializedSecret,
to_json_not_implemented,
try_neq_default,
)
__all__ = [
"BaseSerialized",
"SerializedConstructor",
"SerializedSecret",
"SerializedN... | langchain/libs/langchain/langchain/load/serializable.py/0 | {
"file_path": "langchain/libs/langchain/langchain/load/serializable.py",
"repo_id": "langchain",
"token_count": 167
} | 518 |
"""**Retriever** class returns Documents given a text **query**.
It is more general than a vector store. A retriever does not need to be able to
store documents, only to return (or retrieve) it. Vector stores can be used as
the backbone of a retriever, but there are other types of retrievers as well.
**Class hierarch... | langchain/libs/langchain/langchain/retrievers/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/__init__.py",
"repo_id": "langchain",
"token_count": 1264
} | 578 |
import asyncio
from typing import List
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class MergerRetriever(BaseRetriever):
"""Retriever that me... | langchain/libs/langchain/langchain/retrievers/merger_retriever.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/merger_retriever.py",
"repo_id": "langchain",
"token_count": 1563
} | 532 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include "cute/algorithm/copy.hpp"
#include "cutlass/cutlass.h"
#include "cutlass/layout/layout.h"
#include <cu... | candle/candle-flash-attn/kernels/kernel_traits.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/kernel_traits.h",
"repo_id": "candle",
"token_count": 9290
} | 49 |
import logging
from typing import Any, List, NamedTuple, Optional, Type
import asyncpg # noqa
import pgvector # noqa
import psycopg2 # noqa
import sqlalchemy
import sqlalchemy.ext.asyncio # noqa
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.schema import BaseNode, MetadataMode, Tex... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/base.py",
"repo_id": "llama_index",
"token_count": 11698
} | 1,532 |
import { LangChainBaseMessage } from "../schemas.js";
export function isLangChainMessage(
message?: any
): message is LangChainBaseMessage {
return typeof message?._getType === "function";
}
// Add index signature to data object
interface ConvertedData {
content: string;
[key: string]: any;
}
export function... | langsmith-sdk/js/src/utils/messages.ts/0 | {
"file_path": "langsmith-sdk/js/src/utils/messages.ts",
"repo_id": "langsmith-sdk",
"token_count": 242
} | 1,068 |
ann_accuracy:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/cluster/sift_128_euclidean
suffix_path: true
cache_config.cpu_cache_capacity: 16GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_c... | milvus/tests/benchmark/milvus_benchmark/suites/011_cluster_cpu_accuracy_ann.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cluster_cpu_accuracy_ann.yaml",
"repo_id": "milvus",
"token_count": 5083
} | 1,942 |
from langchain_community.document_transformers.nuclia_text_transform import (
NucliaTextTransformer,
)
__all__ = ["NucliaTextTransformer"]
| langchain/libs/langchain/langchain/document_transformers/nuclia_text_transform.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_transformers/nuclia_text_transform.py",
"repo_id": "langchain",
"token_count": 48
} | 520 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-trulens-eval-packs/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-trulens-eval-packs/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,825 |
"""Callback Handler streams to stdout on new llm token."""
from __future__ import annotations
import sys
from typing import TYPE_CHECKING, Any, Dict, List
from langchain_core.callbacks.base import BaseCallbackHandler
if TYPE_CHECKING:
from langchain_core.agents import AgentAction, AgentFinish
from langchain_... | langchain/libs/core/langchain_core/callbacks/streaming_stdout.py/0 | {
"file_path": "langchain/libs/core/langchain_core/callbacks/streaming_stdout.py",
"repo_id": "langchain",
"token_count": 929
} | 389 |
<jupyter_start><jupyter_text>HoneyHive LlamaIndex Tracer[HoneyHive](https://honeyhive.ai) is a platform that helps developers monitor, evaluate and continuously improve their LLM-powered applications.The `HoneyHiveLlamaIndexTracer` is integrated with HoneyHive to help developers debug and analyze the execution flow of ... | llama_index/docs/examples/callbacks/HoneyHiveLlamaIndexTracer.ipynb/0 | {
"file_path": "llama_index/docs/examples/callbacks/HoneyHiveLlamaIndexTracer.ipynb",
"repo_id": "llama_index",
"token_count": 1516
} | 1,104 |
# Examples
## Introduction
The examples should work in any of the following settings (with the same script):
- single GPU
- multi GPUS (using PyTorch distributed mode)
- multi GPUS (using DeepSpeed ZeRO-Offload stages 1, 2, & 3)
- fp16 (mixed-precision), fp32 (normal precision), or bf16 (bfloat16 precisi... | trl/docs/source/example_overview.md/0 | {
"file_path": "trl/docs/source/example_overview.md",
"repo_id": "trl",
"token_count": 1969
} | 783 |
"""Comparison evaluators.
This module contains evaluators for comparing the output of two models,
be they LLMs, Chains, or otherwise. This can be used for scoring
preferences, measuring similarity / semantic equivalence between outputs,
or any other comparison task.
Example:
>>> from langchain_community.chat_mode... | langchain/libs/langchain/langchain/evaluation/comparison/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/comparison/__init__.py",
"repo_id": "langchain",
"token_count": 482
} | 502 |
{
"modelname": "{{cookiecutter.modelname}}",
"uppercase_modelname": "{{cookiecutter.uppercase_modelname}}",
"lowercase_modelname": "{{cookiecutter.lowercase_modelname}}",
"camelcase_modelname": "{{cookiecutter.camelcase_modelname}}",
"authors": "{{cookiecutter.authors}}",
"checkpoint_identifier": "{{cookiec... | transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/configuration.json/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/configuration.json",
"repo_id": "transformers",
"token_count": 218
} | 739 |
from __future__ import annotations
import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Set, Tuple, Type
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
f... | langchain/libs/community/langchain_community/vectorstores/awadb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/awadb.py",
"repo_id": "langchain",
"token_count": 9779
} | 307 |
<jupyter_start><jupyter_text>ReadTheDocs Documentation>[Read the Docs](https://readthedocs.org/) is an open-sourced free software documentation hosting platform. It generates documentation written with the `Sphinx` documentation generator.This notebook covers how to load content from HTML that was generated as part of ... | langchain/docs/docs/integrations/document_loaders/readthedocs_documentation.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/readthedocs_documentation.ipynb",
"repo_id": "langchain",
"token_count": 252
} | 113 |
use yew_agent::PublicWorker;
fn main() {
candle_wasm_example_whisper::Worker::register();
}
| candle/candle-wasm-examples/whisper/src/bin/worker.rs/0 | {
"file_path": "candle/candle-wasm-examples/whisper/src/bin/worker.rs",
"repo_id": "candle",
"token_count": 38
} | 76 |
import type { LanguageModelLike } from "@langchain/core/language_models/base";
import {
type Runnable,
type RunnableInterface,
RunnableSequence,
RunnableBranch,
} from "@langchain/core/runnables";
import { type BasePromptTemplate } from "@langchain/core/prompts";
import { StringOutputParser } from "@langchain/c... | langchainjs/langchain/src/chains/history_aware_retriever.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/history_aware_retriever.ts",
"repo_id": "langchainjs",
"token_count": 988
} | 904 |
# 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/tests/utils/test_backbone_utils.py/0 | {
"file_path": "transformers/tests/utils/test_backbone_utils.py",
"repo_id": "transformers",
"token_count": 4934
} | 864 |
import pytest
from pytest_mock import MockerFixture
from langchain_community.document_loaders import AssemblyAIAudioTranscriptLoader
from langchain_community.document_loaders.assemblyai import TranscriptFormat
@pytest.mark.requires("assemblyai")
def test_initialization() -> None:
loader = AssemblyAIAudioTranscri... | langchain/libs/community/tests/unit_tests/document_loaders/test_assemblyai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_assemblyai.py",
"repo_id": "langchain",
"token_count": 576
} | 370 |
# LlamaIndex Readers Integration: String Iterable
| llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,382 |
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