text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# ruff: noqa: E501
# fmt: off
template = (
"""
Transform the hypothetical whatif statement into JSON. Don't guess at any of the parts. Write NONE if you are unsure.
{format_instructions}
statement: if cindy's pet count was 4
# JSON:
{{
"entity_settings" : [
{{ "name": "cindy", "attribute": "... | langchain/libs/experimental/langchain_experimental/cpal/templates/univariate/intervention.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/cpal/templates/univariate/intervention.py",
"repo_id": "langchain",
"token_count": 287
} | 446 |
import re
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Union
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator, valid... | langchain/libs/community/langchain_community/retrievers/kendra.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/kendra.py",
"repo_id": "langchain",
"token_count": 5334
} | 277 |
/* eslint-disable spaced-comment */
import {
PromptTemplate,
ChatPromptTemplate,
SystemMessagePromptTemplate,
HumanMessagePromptTemplate,
AIMessagePromptTemplate,
} from "@langchain/core/prompts";
import {
ConditionalPromptSelector,
isChatModel,
} from "@langchain/core/example_selectors";
export const DE... | langchainjs/langchain/src/chains/question_answering/refine_prompts.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/question_answering/refine_prompts.ts",
"repo_id": "langchainjs",
"token_count": 853
} | 883 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["PlaygroundsSubgraphConnectorToolSpec", "PlaygroundsSubgraphInspectorToolSpec"]
contains_e... | llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/pyproject.toml",
"repo_id": "llama_index",
"token_count": 704
} | 1,523 |
---
sidebar_class_name: node-only
---
# Qdrant
[Qdrant](https://qdrant.tech/) is a vector similarity search engine. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload.
:::tip Compatibility
Only available on Node.js.
:::
## Setup
1. ... | langchainjs/docs/core_docs/docs/integrations/vectorstores/qdrant.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/qdrant.mdx",
"repo_id": "langchainjs",
"token_count": 834
} | 750 |
import json
from textwrap import dedent
from typing import List
from langchain.prompts import PromptTemplate
from langchain.schema import BaseOutputParser
from langchain_experimental.tot.thought import ThoughtValidity
def get_cot_prompt() -> PromptTemplate:
return PromptTemplate(
template_format="jinja2... | langchain/libs/experimental/langchain_experimental/tot/prompts.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/tot/prompts.py",
"repo_id": "langchain",
"token_count": 1930
} | 470 |
<jupyter_start><jupyter_text>Azure AI Search[Azure AI Search](https://learn.microsoft.com/azure/search/search-what-is-azure-search) (formerly known as `Azure Search` and `Azure Cognitive Search`) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over p... | langchain/docs/docs/integrations/vectorstores/azuresearch.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/azuresearch.ipynb",
"repo_id": "langchain",
"token_count": 4330
} | 189 |
package indexparamcheck
import (
"strconv"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/util/metric"
)
func Test_ivfSQChecker_CheckTrain(t *testing.T) {
getValidParams := func(withNBits bool) map[string]string {
validP... | milvus/pkg/util/indexparamcheck/ivf_sq_checker_test.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/ivf_sq_checker_test.go",
"repo_id": "milvus",
"token_count": 1742
} | 1,971 |
# coding=utf-8
# Copyright 2020 The Trax 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 copy of the License at... | transformers/src/transformers/models/reformer/modeling_reformer.py/0 | {
"file_path": "transformers/src/transformers/models/reformer/modeling_reformer.py",
"repo_id": "transformers",
"token_count": 51149
} | 650 |
<jupyter_start><jupyter_text>Evaluating an Extraction Chain[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/testing-examples/data-extraction/contract-extraction.ipynb)Structured data [extraction](https://python.langchain.com/docs/use_cases/extraction) from unstructured text is a cor... | langsmith-cookbook/testing-examples/data-extraction/contract-extraction.ipynb/0 | {
"file_path": "langsmith-cookbook/testing-examples/data-extraction/contract-extraction.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 1584
} | 1,040 |
// Copyright (C) 2019-2020 Zilliz. 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 l... | milvus/internal/core/src/segcore/SegmentSealedImpl.cpp/0 | {
"file_path": "milvus/internal/core/src/segcore/SegmentSealedImpl.cpp",
"repo_id": "milvus",
"token_count": 31527
} | 1,800 |
"""Test few shot prompt template."""
from typing import Any, Dict, List, Sequence, Tuple
import pytest
from langchain_core.example_selectors import BaseExampleSelector
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
from langchain_core.prompts import (
AIMessagePromptTemplate,
ChatP... | langchain/libs/core/tests/unit_tests/prompts/test_few_shot.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/prompts/test_few_shot.py",
"repo_id": "langchain",
"token_count": 5447
} | 406 |
import { BaseMessage } from "@langchain/core/messages";
import {
BaseTransformOutputParser,
StringOutputParser,
} from "@langchain/core/output_parsers";
export type HttpResponseOutputParserInput = {
outputParser?: BaseTransformOutputParser;
contentType?: "text/plain" | "text/event-stream";
};
/**
* OutputPar... | langchainjs/langchain/src/output_parsers/http_response.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/http_response.ts",
"repo_id": "langchainjs",
"token_count": 796
} | 897 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-trulens-eval-packs/llama_index/packs/trulens_eval_packs/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-trulens-eval-packs/llama_index/packs/trulens_eval_packs/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,614 |
"""DashVector reader."""
from typing import Dict, List, Optional
from llama_index.legacy.readers.base import BaseReader
from llama_index.legacy.schema import Document
class DashVectorReader(BaseReader):
"""DashVector reader.
Args:
api_key (str): DashVector API key.
endpoint (str): DashVecto... | llama_index/llama-index-legacy/llama_index/legacy/readers/dashvector.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/dashvector.py",
"repo_id": "llama_index",
"token_count": 1278
} | 1,759 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/vae_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/vae_flax.py",
"repo_id": "diffusers",
"token_count": 14479
} | 241 |
<jupyter_start><jupyter_text>Bittensor>[Bittensor](https://bittensor.com/) is a mining network, similar to Bitcoin, that includes built-in incentives designed to encourage miners to contribute compute + knowledge.>>`NIBittensorLLM` is developed by [Neural Internet](https://neuralinternet.ai/), powered by `Bittensor`.>T... | langchain/docs/docs/integrations/llms/bittensor.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/bittensor.ipynb",
"repo_id": "langchain",
"token_count": 1560
} | 116 |
import { MessageContent } from "../messages/index.js";
import { ImagePromptValue, ImageContent } from "../prompt_values.js";
import type { InputValues, PartialValues } from "../utils/types.js";
import {
BasePromptTemplate,
BasePromptTemplateInput,
TypedPromptInputValues,
} from "./base.js";
import { TemplateForma... | langchainjs/langchain-core/src/prompts/image.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/image.ts",
"repo_id": "langchainjs",
"token_count": 1830
} | 863 |
#!/usr/bin/env python
# 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... | transformers/examples/legacy/seq2seq/run_eval.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/run_eval.py",
"repo_id": "transformers",
"token_count": 2791
} | 582 |
from llama_index.callbacks.uptrain.base import UpTrainCallbackHandler
__all__ = ["UpTrainCallbackHandler"]
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/llama_index/callbacks/uptrain/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/llama_index/callbacks/uptrain/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,250 |
"""Use a single chain to route an input to one of multiple retrieval qa chains."""
from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional
from langchain_community.chat_models import ChatOpenAI
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts im... | langchain/libs/langchain/langchain/chains/router/multi_retrieval_qa.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/router/multi_retrieval_qa.py",
"repo_id": "langchain",
"token_count": 1504
} | 475 |
<jupyter_start><jupyter_text>DeepInfra[DeepInfra](https://deepinfra.com/?utm_source=langchain) is a serverless inference as a service that provides access to a [variety of LLMs](https://deepinfra.com/models?utm_source=langchain) and [embeddings models](https://deepinfra.com/models?type=embeddings&utm_source=langchain).... | langchain/docs/docs/integrations/text_embedding/deepinfra.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/deepinfra.ipynb",
"repo_id": "langchain",
"token_count": 544
} | 168 |
"""PlaygroundsSubgraphConnectorToolSpec."""
from typing import Optional, Union
import requests
from llama_index.tools.graphql.base import GraphQLToolSpec
class PlaygroundsSubgraphConnectorToolSpec(GraphQLToolSpec):
"""
Connects to subgraphs on The Graph's decentralized network via the Playgrounds API.
... | llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/llama_index/tools/playgrounds/subgraph_connector/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/llama_index/tools/playgrounds/subgraph_connector/base.py",
"repo_id": "llama_index",
"token_count": 1068
} | 1,496 |
from langchain_openai.chat_models import __all__
EXPECTED_ALL = ["ChatOpenAI", "AzureChatOpenAI"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/openai/tests/unit_tests/chat_models/test_imports.py/0 | {
"file_path": "langchain/libs/partners/openai/tests/unit_tests/chat_models/test_imports.py",
"repo_id": "langchain",
"token_count": 68
} | 677 |
from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import BaseNode
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
class MockVectorStore(VectorStore):
stores_text: bool = True
def __init__(self, config_dict: O... | llama_index/llama-index-legacy/tests/indices/composability/test_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/composability/test_utils.py",
"repo_id": "llama_index",
"token_count": 429
} | 1,549 |
```haskell
Expr :=
LogicalExpr | NIL
LogicalExpr :=
LogicalExpr BinaryLogicalOp LogicalExpr
| UnaryLogicalOp LogicalExpr
| "(" LogicalExpr ")"
| SingleExpr
BinaryLogicalOp :=
"&&" | "and"
| "||" | "or"
UnaryLogicalOp :=
"not"
SingleExpr :=
TermExpr
| CompareExpr
TermExpr :=
IDENTI... | milvus/docs/design_docs/20220105-query_boolean_expr.md/0 | {
"file_path": "milvus/docs/design_docs/20220105-query_boolean_expr.md",
"repo_id": "milvus",
"token_count": 736
} | 1,722 |
#!/bin/bash
# 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... | milvus/tests/scripts/install_milvus.sh/0 | {
"file_path": "milvus/tests/scripts/install_milvus.sh",
"repo_id": "milvus",
"token_count": 2802
} | 1,987 |
import { expect, test } from '@jest/globals';
import chroma from './initClient'
import { DOCUMENTS, EMBEDDINGS, IDS } from './data';
import { METADATAS } from './data';
import { IncludeEnum } from "../src/types";
import {OpenAIEmbeddingFunction} from "../src/embeddings/OpenAIEmbeddingFunction";
import {CohereEmbeddingF... | chroma/clients/js/test/add.collections.test.ts/0 | {
"file_path": "chroma/clients/js/test/add.collections.test.ts",
"repo_id": "chroma",
"token_count": 1542
} | 34 |
# coding=utf-8
# Copyright 2021 Tel AViv University, AllenAI 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/... | transformers/src/transformers/models/splinter/tokenization_splinter_fast.py/0 | {
"file_path": "transformers/src/transformers/models/splinter/tokenization_splinter_fast.py",
"repo_id": "transformers",
"token_count": 3965
} | 659 |
# Additional Readings [[additional-readings]]
These are **optional readings** if you want to go deeper.
## Monte Carlo and TD Learning [[mc-td]]
To dive deeper into Monte Carlo and Temporal Difference Learning:
- <a href="https://stats.stackexchange.com/questions/355820/why-do-temporal-difference-td-methods-have-lo... | deep-rl-class/units/en/unit2/additional-readings.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/additional-readings.mdx",
"repo_id": "deep-rl-class",
"token_count": 297
} | 156 |
# Conversation buffer memory
This notebook shows how to use `BufferMemory`. This memory allows for storing of messages, then later formats the messages into a prompt input variable.
We can first extract it as a string.
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<Integra... | langchainjs/docs/core_docs/docs/modules/memory/types/buffer.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/memory/types/buffer.mdx",
"repo_id": "langchainjs",
"token_count": 473
} | 734 |
package indexparamcheck
import (
"fmt"
)
// ivfSQChecker checks if a IVF_SQ index can be built.
type ivfSQChecker struct {
ivfBaseChecker
}
func (c *ivfSQChecker) checkNBits(params map[string]string) error {
// cgo will set this key to DefaultNBits (8), which is the only value Milvus supports.
_, exist := params... | milvus/pkg/util/indexparamcheck/ivf_sq_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/ivf_sq_checker.go",
"repo_id": "milvus",
"token_count": 316
} | 2,057 |
"""Base classes for scoring the output of a model on a scale of 1-10."""
from __future__ import annotations
import logging
import re
from typing import Any, Dict, List, Optional, Union
from langchain_community.chat_models.azure_openai import AzureChatOpenAI
from langchain_community.chat_models.openai import ChatOpenA... | langchain/libs/langchain/langchain/evaluation/scoring/eval_chain.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/scoring/eval_chain.py",
"repo_id": "langchain",
"token_count": 6688
} | 504 |
# LM Format Enforcer
[LM Format Enforcer](https://github.com/noamgat/lm-format-enforcer) is a library that enforces the output format (JSON Schema, Regex etc) of a language model. Instead of just "suggesting" the desired output structure to the LLM, LM Format Enforcer can actually "force" the LLM output to follow the ... | llama_index/docs/community/integrations/lmformatenforcer.md/0 | {
"file_path": "llama_index/docs/community/integrations/lmformatenforcer.md",
"repo_id": "llama_index",
"token_count": 1213
} | 1,167 |
# Custom text splitters
If you want to implement your own custom Text Splitter, you only need to subclass TextSplitter and implement a single method: `splitText`. The method takes a string and returns a list of strings. The returned strings will be used as the chunks.
```typescript
abstract class TextSplitter {
abs... | langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/custom_text_splitter.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/custom_text_splitter.mdx",
"repo_id": "langchainjs",
"token_count": 96
} | 786 |
# flake8: noqa
JSON_FORMAT_INSTRUCTIONS = """The output should be formatted as a JSON instance that conforms to the JSON schema below.
As an example, for the schema {{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
... | langchain/libs/core/langchain_core/output_parsers/format_instructions.py/0 | {
"file_path": "langchain/libs/core/langchain_core/output_parsers/format_instructions.py",
"repo_id": "langchain",
"token_count": 170
} | 425 |
from langchain_community.document_loaders.xorbits import XorbitsLoader
__all__ = ["XorbitsLoader"]
| langchain/libs/langchain/langchain/document_loaders/xorbits.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/xorbits.py",
"repo_id": "langchain",
"token_count": 32
} | 541 |
import pytest
from langchain.schema import AIMessage, HumanMessage, SystemMessage
from langchain_experimental.chat_models import Orca
from tests.unit_tests.chat_models.test_llm_wrapper_llama2chat import FakeLLM
@pytest.fixture
def model() -> Orca:
return Orca(llm=FakeLLM())
@pytest.fixture
def model_cfg_sys_ms... | langchain/libs/experimental/tests/unit_tests/chat_models/test_llm_wrapper_orca.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/chat_models/test_llm_wrapper_orca.py",
"repo_id": "langchain",
"token_count": 342
} | 451 |
from typing import Generator, cast
import numpy as np
import pytest
import chromadb
from chromadb.api.types import (
Embeddable,
EmbeddingFunction,
Embeddings,
Image,
Document,
)
from chromadb.test.property.strategies import hashing_embedding_function
from chromadb.test.property.invariants import _e... | chroma/chromadb/test/ef/test_multimodal_ef.py/0 | {
"file_path": "chroma/chromadb/test/ef/test_multimodal_ef.py",
"repo_id": "chroma",
"token_count": 2081
} | 25 |
import { BaseOutputParser } from "@langchain/core/output_parsers";
/**
* The NoOpOutputParser class is a type of output parser that does not
* perform any operations on the output. It extends the BaseOutputParser
* class and is part of the LangChain's output parsers module. This class
* is useful in scenarios wher... | langchainjs/langchain/src/output_parsers/noop.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/noop.ts",
"repo_id": "langchainjs",
"token_count": 338
} | 938 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/perf_train_cpu.md/0 | {
"file_path": "transformers/docs/source/ja/perf_train_cpu.md",
"repo_id": "transformers",
"token_count": 1663
} | 486 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image_vision_llm/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image_vision_llm/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,362 |
import { test } from "@jest/globals";
test("Test vectorstore", async () => {
// Your test here
});
| langchainjs/libs/create-langchain-integration/template/src/tests/vectorstores.test.ts/0 | {
"file_path": "langchainjs/libs/create-langchain-integration/template/src/tests/vectorstores.test.ts",
"repo_id": "langchainjs",
"token_count": 34
} | 970 |
<jupyter_start><jupyter_text>Spark SQLThis notebook shows how to use agents to interact with `Spark SQL`. Similar to [SQL Database Agent](https://python.langchain.com/docs/integrations/toolkits/sql_database), it is designed to address general inquiries about `Spark SQL` and facilitate error recovery.**NOTE: Note that, ... | langchain/docs/docs/integrations/toolkits/spark_sql.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/spark_sql.ipynb",
"repo_id": "langchain",
"token_count": 1477
} | 183 |
<jupyter_start> | langchain/docs/docs/integrations/document_loaders/microsoft_onenote.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/microsoft_onenote.ipynb",
"repo_id": "langchain",
"token_count": 8
} | 107 |
compute_environment: LOCAL_MACHINE
deepspeed_config: {}
distributed_type: 'NO'
downcast_bf16: 'no'
fsdp_config: {}
gpu_ids: all
machine_rank: 0
main_process_ip: null
main_process_port: null
main_training_function: main
megatron_lm_config: {}
mixed_precision: 'no'
num_machines: 1
num_processes: 1
rdzv_backend: static
sa... | accelerate/tests/test_configs/latest.yaml/0 | {
"file_path": "accelerate/tests/test_configs/latest.yaml",
"repo_id": "accelerate",
"token_count": 186
} | 15 |
.PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE=tests/integration_tests/
test tests i... | langchain/libs/partners/anthropic/Makefile/0 | {
"file_path": "langchain/libs/partners/anthropic/Makefile",
"repo_id": "langchain",
"token_count": 723
} | 679 |
"""LangSmith Client."""
from importlib import metadata
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Case where package metadata is not available.
__version__ = ""
from langsmith.client import Client
from langsmith.evaluation.evaluator import EvaluationResult, Ru... | langsmith-sdk/python/langsmith/__init__.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/__init__.py",
"repo_id": "langsmith-sdk",
"token_count": 189
} | 1,079 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/bert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bert.md",
"repo_id": "transformers",
"token_count": 4642
} | 450 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "llms/googlevertexai/web",
});
export * from "@langchain/community/llms/googlevertexai/web";
| langchainjs/langchain/src/llms/googlevertexai/web.ts/0 | {
"file_path": "langchainjs/langchain/src/llms/googlevertexai/web.ts",
"repo_id": "langchainjs",
"token_count": 81
} | 966 |
# candle-onnx
This crate adds ONNX support to candle
## FAQ
#### Missing protoc installation when compiling candle-onnx
The candle-onnx dependency prost-build no longer comes bundled with prost
binaries. This could cause the following error when attempting to compile
candle-onnx:
```
error: failed to run custom bu... | candle/candle-onnx/README.md/0 | {
"file_path": "candle/candle-onnx/README.md",
"repo_id": "candle",
"token_count": 180
} | 65 |
# Copyright 2024 Google Brain 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 requ... | diffusers/src/diffusers/schedulers/scheduling_sde_ve.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_sde_ve.py",
"repo_id": "diffusers",
"token_count": 5399
} | 278 |
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
// import all entrypoints to test, do not do this in your own app
import "../../entrypoints.js";
// Import a few things we'll use to test the exports
import { LLMChain } from "langchain/chains";
import { ChatOpenAI } from "langchain/chat_mo... | langchainjs/environment_tests/test-exports-vercel/src/pages/api/hello-edge.ts/0 | {
"file_path": "langchainjs/environment_tests/test-exports-vercel/src/pages/api/hello-edge.ts",
"repo_id": "langchainjs",
"token_count": 766
} | 777 |
from llama_index.core.storage.chat_store.base import BaseChatStore
from llama_index.core.storage.chat_store.simple_chat_store import SimpleChatStore
__all__ = ["BaseChatStore", "SimpleChatStore"]
| llama_index/llama-index-core/llama_index/core/storage/chat_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/storage/chat_store/__init__.py",
"repo_id": "llama_index",
"token_count": 60
} | 1,178 |
#!/usr/bin/env python
"""Example that shows how to use `per_req_config_modifier`.
This is a simple example that shows how to use configurable runnables with
per request configuration modification to achieve behavior that's different
depending on the user.
You can build on these concepts to implement a more complex ap... | langserve/examples/auth/per_req_config_modifier/server.py/0 | {
"file_path": "langserve/examples/auth/per_req_config_modifier/server.py",
"repo_id": "langserve",
"token_count": 2844
} | 1,023 |
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { z } from "zod";
import type { RequestHandler } from "./$types";
import { downloadFile } from "$lib/server/files/downloadFile";
export... | chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts",
"repo_id": "chat-ui",
"token_count": 439
} | 103 |
from llama_index.readers.wordlift.base import WordLiftLoader
__all__ = ["WordLiftLoader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/llama_index/readers/wordlift/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/llama_index/readers/wordlift/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,461 |
from langchain_community.utilities.max_compute import MaxComputeAPIWrapper
__all__ = ["MaxComputeAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/max_compute.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/max_compute.py",
"repo_id": "langchain",
"token_count": 35
} | 618 |
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { RetrievalQAChain } from "langchain/chains";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
// Initialize the LLM to use to ans... | langchainjs/examples/src/chains/retrieval_qa_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/retrieval_qa_legacy.ts",
"repo_id": "langchainjs",
"token_count": 369
} | 763 |
# coding=utf-8
# Copyright 2021 The Facebook Inc. 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/LI... | transformers/src/transformers/models/blenderbot_small/tokenization_blenderbot_small.py/0 | {
"file_path": "transformers/src/transformers/models/blenderbot_small/tokenization_blenderbot_small.py",
"repo_id": "transformers",
"token_count": 4456
} | 573 |
import { type ClientOptions, OpenAI as OpenAIClient } from "openai";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
import { chunkArray } from "@langchain/core/utils/chunk_array";
import {
AzureOpenAIInput,
OpenAICo... | langchainjs/libs/langchain-openai/src/embeddings.ts/0 | {
"file_path": "langchainjs/libs/langchain-openai/src/embeddings.ts",
"repo_id": "langchainjs",
"token_count": 3422
} | 1,009 |
# 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... | accelerate/manim_animations/big_model_inference/stage_5.py/0 | {
"file_path": "accelerate/manim_animations/big_model_inference/stage_5.py",
"repo_id": "accelerate",
"token_count": 4175
} | 6 |
# Stable Diffusion Deep Dive
<CourseFloatingBanner unit={3}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Stable Diffusion Deep Dive", value: "https://colab.research.google.com/github/huggingface/diffusion-models-class/blob/main/units/en/unit3/stable_diffusion_deep_dive.ipynb"},
{label: "S... | diffusion-models-class/units/en/unit3/3.mdx/0 | {
"file_path": "diffusion-models-class/units/en/unit3/3.mdx",
"repo_id": "diffusion-models-class",
"token_count": 20868
} | 296 |
import s3fs
from ..utils.deprecation_utils import deprecated
@deprecated("Use s3fs.S3FileSystem instead.")
class S3FileSystem(s3fs.S3FileSystem):
"""
`datasets.filesystems.S3FileSystem` is a subclass of [`s3fs.S3FileSystem`](https://s3fs.readthedocs.io/en/latest/api.html).
Users can use this class to ac... | datasets/src/datasets/filesystems/s3filesystem.py/0 | {
"file_path": "datasets/src/datasets/filesystems/s3filesystem.py",
"repo_id": "datasets",
"token_count": 2170
} | 142 |
macro(set_option_category name)
set(MILVUS_OPTION_CATEGORY ${name})
list(APPEND "MILVUS_OPTION_CATEGORIES" ${name})
endmacro()
macro(define_option name description default)
option(${name} ${description} ${default})
list(APPEND "MILVUS_${MILVUS_OPTION_CATEGORY}_OPTION_NAMES" ${name})
set("${name}_O... | milvus/internal/core/cmake/DefineOptions.cmake/0 | {
"file_path": "milvus/internal/core/cmake/DefineOptions.cmake",
"repo_id": "milvus",
"token_count": 2304
} | 1,720 |
from rag_momento_vector_index.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-momento-vector-index/rag_momento_vector_index/__init__.py/0 | {
"file_path": "langchain/templates/rag-momento-vector-index/rag_momento_vector_index/__init__.py",
"repo_id": "langchain",
"token_count": 23
} | 735 |
"""Milvus reader."""
from typing import Any, Dict, List, Optional
from uuid import uuid4
from llama_index.legacy.readers.base import BaseReader
from llama_index.legacy.schema import Document
class MilvusReader(BaseReader):
"""Milvus reader."""
def __init__(
self,
host: str = "localhost",
... | llama_index/llama-index-legacy/llama_index/legacy/readers/milvus.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/milvus.py",
"repo_id": "llama_index",
"token_count": 2225
} | 1,764 |
libdir=@CMAKE_INSTALL_FULL_LIBDIR@
includedir=@CMAKE_INSTALL_FULL_INCLUDEDIR@
Name: Rdkafka
Description: RdKafka
Version: @RDKAFKA_VERSION@
Libs: -L${libdir} -lrdkafka
# Libs.private: -lz -lbz2
Cflags: -I${includedir}
| milvus/internal/core/thirdparty/rdkafka/rdkafka.pc.in/0 | {
"file_path": "milvus/internal/core/thirdparty/rdkafka/rdkafka.pc.in",
"repo_id": "milvus",
"token_count": 106
} | 1,750 |
"""Managed index.
A managed Index - where the index is accessible via some API that
interfaces a managed service.
"""
import json
import logging
import os
from concurrent.futures import ThreadPoolExecutor
from hashlib import blake2b
from typing import Any, Dict, List, Optional, Sequence, Type
import requests
from l... | llama_index/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/base.py",
"repo_id": "llama_index",
"token_count": 6411
} | 1,384 |
# 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... | accelerate/src/accelerate/utils/torch_xla.py/0 | {
"file_path": "accelerate/src/accelerate/utils/torch_xla.py",
"repo_id": "accelerate",
"token_count": 691
} | 14 |
# 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/fnet/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/fnet/__init__.py",
"repo_id": "transformers",
"token_count": 1260
} | 607 |
# coding=utf-8
# Copyright 2021 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/efficientformer/test_image_processing_efficientformer.py/0 | {
"file_path": "transformers/tests/models/efficientformer/test_image_processing_efficientformer.py",
"repo_id": "transformers",
"token_count": 1379
} | 798 |
from langchain_community.document_loaders.parsers import __all__
def test_parsers_public_api_correct() -> None:
"""Test public API of parsers for breaking changes."""
assert set(__all__) == {
"AzureAIDocumentIntelligenceParser",
"BS4HTMLParser",
"DocAIParser",
"GrobidParser",
... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_public_api.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_public_api.py",
"repo_id": "langchain",
"token_count": 244
} | 398 |
# From Q-Learning to Deep Q-Learning [[from-q-to-dqn]]
We learned that **Q-Learning is an algorithm we use to train our Q-Function**, an **action-value function** that determines the value of being at a particular state and taking a specific action at that state.
<figure>
<img src="https://huggingface.co/datasets/h... | deep-rl-class/units/en/unit3/from-q-to-dqn.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit3/from-q-to-dqn.mdx",
"repo_id": "deep-rl-class",
"token_count": 733
} | 161 |
.PHONY: start
start:
uvicorn main:app --reload --port 8080
.PHONY: format
format:
black .
isort . | weblangchain/Makefile/0 | {
"file_path": "weblangchain/Makefile",
"repo_id": "weblangchain",
"token_count": 42
} | 2,210 |
# LlamaIndex Chat_Store Integration: Redis Chat Store
| llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,410 |
import pytest
from test_utils import MockEncoder
import langchain_experimental.rl_chain.base as rl_chain
import langchain_experimental.rl_chain.pick_best_chain as pick_best_chain
encoded_keyword = "[encoded]"
@pytest.mark.requires("vowpal_wabbit_next")
def test_pickbest_textembedder_missing_context_throws() -> None... | langchain/libs/experimental/tests/unit_tests/rl_chain/test_pick_best_text_embedder.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/rl_chain/test_pick_best_text_embedder.py",
"repo_id": "langchain",
"token_count": 6574
} | 452 |
from llama_index.core.indices.base import BaseIndex
from llama_index.indices.managed.colbert import ColbertIndex
def test_class():
names_of_base_classes = [b.__name__ for b in ColbertIndex.__mro__]
assert BaseIndex.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/tests/test_indices_managed_colbert.py/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/tests/test_indices_managed_colbert.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,382 |
from langchain_community.output_parsers.rail_parser import (
GuardrailsOutputParser,
)
__all__ = ["GuardrailsOutputParser"]
| langchain/libs/langchain/langchain/output_parsers/rail_parser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/rail_parser.py",
"repo_id": "langchain",
"token_count": 43
} | 525 |
"""Test agent executor."""
import uuid
from typing import Any, cast
from llama_index.legacy.agent.runner.base import AgentRunner
from llama_index.legacy.agent.runner.parallel import ParallelAgentRunner
from llama_index.legacy.agent.types import (
BaseAgentWorker,
Task,
TaskStep,
TaskStepOutput,
)
from... | llama_index/llama-index-legacy/tests/agent/runner/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/agent/runner/test_base.py",
"repo_id": "llama_index",
"token_count": 3991
} | 1,626 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,613 |
from langchain_community.llms.promptlayer_openai import (
PromptLayerOpenAI,
PromptLayerOpenAIChat,
)
__all__ = ["PromptLayerOpenAI", "PromptLayerOpenAIChat"]
| langchain/libs/langchain/langchain/llms/promptlayer_openai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/promptlayer_openai.py",
"repo_id": "langchain",
"token_count": 60
} | 515 |
<!--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/zh/fast_tokenizers.md/0 | {
"file_path": "transformers/docs/source/zh/fast_tokenizers.md",
"repo_id": "transformers",
"token_count": 1249
} | 548 |
from llama_index.packs.llava_completion.base import LlavaCompletionPack
__all__ = ["LlavaCompletionPack"]
| llama_index/llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,659 |
from xml_agent.agent import agent_executor
if __name__ == "__main__":
question = "who won the womens world cup in 2023?"
print(agent_executor.invoke({"question": question, "chat_history": []})) # noqa: T201
| langchain/templates/xml-agent/main.py/0 | {
"file_path": "langchain/templates/xml-agent/main.py",
"repo_id": "langchain",
"token_count": 75
} | 760 |
<jupyter_start><jupyter_text>Advanced Prompt Techniques (Variable Mappings, Functions)In this notebook we show some advanced prompt techniques. These features allow you to define more custom/expressive prompts, re-use existing ones, and also express certain operations in fewer lines of code.We show the following featur... | llama_index/docs/examples/prompts/advanced_prompts.ipynb/0 | {
"file_path": "llama_index/docs/examples/prompts/advanced_prompts.ipynb",
"repo_id": "llama_index",
"token_count": 1584
} | 1,206 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-milvus/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-milvus/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,352 |
from llama_index.readers.qdrant.base import QdrantReader
__all__ = ["QdrantReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/llama_index/readers/qdrant/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/llama_index/readers/qdrant/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,430 |
<jupyter_start><jupyter_text>Google Translate[Google Translate](https://translate.google.com/) is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another.The `GoogleTranslateTransformer` allows you to translate text and HTML with the... | langchain/docs/docs/integrations/document_transformers/google_translate.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_transformers/google_translate.ipynb",
"repo_id": "langchain",
"token_count": 1567
} | 110 |
## Data Connector Examples
Each of these notebooks showcase our readers which can read data from a variety of data sources.
| llama_index/docs/examples/data_connectors/README.md/0 | {
"file_path": "llama_index/docs/examples/data_connectors/README.md",
"repo_id": "llama_index",
"token_count": 26
} | 1,095 |
<jupyter_start><jupyter_text>Google PlacesThis notebook goes through how to use Google Places API<jupyter_code>%pip install --upgrade --quiet googlemaps
import os
os.environ["GPLACES_API_KEY"] = ""
from langchain.tools import GooglePlacesTool
places = GooglePlacesTool()
places.run("al fornos")<jupyter_output><empty_o... | langchain/docs/docs/integrations/tools/google_places.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/google_places.ipynb",
"repo_id": "langchain",
"token_count": 108
} | 175 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/retrievers/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/retrievers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,640 |
# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.
import os
import sys
from pathlib import Path
import torch
from transformers.testing_utils import TestCasePlus, execute_subprocess_async, require_torch_multi_gpu
from utils import load_json
C... | transformers/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples_multi_gpu.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples_multi_gpu.py",
"repo_id": "transformers",
"token_count": 2691
} | 601 |
# 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/plbart/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/plbart/__init__.py",
"repo_id": "transformers",
"token_count": 932
} | 668 |
<jupyter_start><jupyter_text>Prior to running the below make sure that you have an HF server running:You can run:```bashdocker compose -f examples/server_side_embeddings/huggingface/docker-compose.yml up -d```<jupyter_code>%cd ../../../
import chromadb
from chromadb.utils.embedding_functions import HuggingFaceEmbeddin... | chroma/examples/server_side_embeddings/huggingface/test.ipynb/0 | {
"file_path": "chroma/examples/server_side_embeddings/huggingface/test.ipynb",
"repo_id": "chroma",
"token_count": 218
} | 42 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-monsterapi/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-monsterapi/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,315 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/gcs/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/gcs/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,359 |
from langchain_community.document_loaders.ifixit import IFixitLoader
def test_ifixit_loader() -> None:
"""Test iFixit loader."""
web_path = "https://www.ifixit.com/Guide/iPad+9+Battery+Replacement/151279"
loader = IFixitLoader(web_path)
assert loader.page_type == "Guide"
assert loader.id == "15127... | langchain/libs/community/tests/integration_tests/document_loaders/test_ifixit.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_ifixit.py",
"repo_id": "langchain",
"token_count": 476
} | 324 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-sentence-window-retriever/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-sentence-window-retriever/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,676 |
# Milvus offline installation
## Manually downloading Docker images
Milvus installation may fail when images are not properly loaded from public Docker registries. To pull all images and save them into a directory that can be moved to the target host and loaded manually, perform the following procedures:
### Step 1:... | milvus/deployments/offline/README.md/0 | {
"file_path": "milvus/deployments/offline/README.md",
"repo_id": "milvus",
"token_count": 895
} | 1,731 |
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