text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import { z } from "zod";
import { test, expect } from "@jest/globals";
import {
convertToOpenAIFunction,
convertToOpenAITool,
} from "../function_calling.js";
import { FakeTool } from "../testing/index.js";
test("Can convert tool to OpenAI Functions format", async () => {
const tool = new FakeTool({
name: "f... | langchainjs/langchain-core/src/utils/tests/function_calling.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/tests/function_calling.test.ts",
"repo_id": "langchainjs",
"token_count": 1556
} | 876 |
[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 = ["AirtableReader"]
contains_example = false
import_path = "llama_index.readers.airtable"
[... | llama_index/llama-index-integrations/readers/llama-index-readers-airtable/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airtable/pyproject.toml",
"repo_id": "llama_index",
"token_count": 656
} | 1,375 |
import { test } from "@jest/globals";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { ChatMistralAI } from "../chat_models.js";
import { MistralAIEmbeddings } from "../embeddings.js";
test("Test ChatMistralAI can invoke", async () => {
const model = new ChatMistralAI();
const prompt = ChatPr... | langchainjs/libs/langchain-mistralai/src/tests/mistralai.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-mistralai/src/tests/mistralai.int.test.ts",
"repo_id": "langchainjs",
"token_count": 637
} | 1,036 |
[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 = ["RankGPTRerank"]
contains_example = false
import_path = "llama_index.postprocessor.rankgpt... | llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/pyproject.toml",
"repo_id": "llama_index",
"token_count": 646
} | 1,318 |
# coding=utf-8
# Copyright 2020 The SqueezeBert authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | transformers/tests/models/squeezebert/test_tokenization_squeezebert.py/0 | {
"file_path": "transformers/tests/models/squeezebert/test_tokenization_squeezebert.py",
"repo_id": "transformers",
"token_count": 644
} | 843 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/segments/search_test.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/search_test.go",
"repo_id": "milvus",
"token_count": 1784
} | 2,049 |
import argparse
import csv
import gc
import os
from dataclasses import dataclass
from typing import Dict, List, Union
import torch
import torch.utils.benchmark as benchmark
GITHUB_SHA = os.getenv("GITHUB_SHA", None)
BENCHMARK_FIELDS = [
"pipeline_cls",
"ckpt_id",
"batch_size",
"num_inference_steps",
... | diffusers/benchmarks/utils.py/0 | {
"file_path": "diffusers/benchmarks/utils.py",
"repo_id": "diffusers",
"token_count": 1254
} | 169 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/mgp_str/processing_mgp_str.py/0 | {
"file_path": "transformers/src/transformers/models/mgp_str/processing_mgp_str.py",
"repo_id": "transformers",
"token_count": 4019
} | 632 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.voyage_query_engine import VoyageQueryEnginePack
def test_class():
names_of_base_classes = [b.__name__ for b in VoyageQueryEnginePack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/tests/test_packs_voyage_query_engine.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/tests/test_packs_voyage_query_engine.py",
"repo_id": "llama_index",
"token_count": 101
} | 1,708 |
# coding=utf-8
# Copyright 2023 The Google Research Team Authors 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/l... | transformers/src/transformers/models/align/modeling_align.py/0 | {
"file_path": "transformers/src/transformers/models/align/modeling_align.py",
"repo_id": "transformers",
"token_count": 30088
} | 562 |
import asyncio
import json
import time
import warnings
from collections import deque
from typing import Any, List, Optional
import pandas as pd
import tqdm
from llama_index.core import ServiceContext
from llama_index.core.evaluation import (
CorrectnessEvaluator,
EvaluationResult,
FaithfulnessEvaluator,
... | llama_index/llama-index-packs/llama-index-packs-rag-evaluator/llama_index/packs/rag_evaluator/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-evaluator/llama_index/packs/rag_evaluator/base.py",
"repo_id": "llama_index",
"token_count": 7847
} | 1,675 |
---
sidebar_position: 0
---
# Quick Start
import CodeBlock from "@theme/CodeBlock";
Language models output text. But you may often want to get more structured information than just text back. This is where output parsers come in.
Output parsers are classes that help structure language model responses. There are two... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/quick_start.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/quick_start.mdx",
"repo_id": "langchainjs",
"token_count": 719
} | 770 |
#!/usr/bin/env bash
# Reference: https://github.com/ryandaniels/docker-script-find-latest-image-tag/blob/master/docker_image_find_tag.sh
set -ef -o pipefail
REGISTRY=${REGISTRY:-"https://index.docker.io/v2"}
REGISTRY_AUTH=${REGISTRY_AUTH:-"https://auth.docker.io"}
REGISTRY_SERVICE=${REGISTRY_SERVICE:-"registry.docke... | milvus/scripts/docker_image_find_tag.sh/0 | {
"file_path": "milvus/scripts/docker_image_find_tag.sh",
"repo_id": "milvus",
"token_count": 3360
} | 2,071 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/storage/chat_store/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/storage/chat_store/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,169 |
[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 = ["JoplinReader", "LINK_NOTE_TEMPLATE"]
contains_example = false
import_path = "llama_index.... | llama_index/llama-index-integrations/readers/llama-index-readers-joplin/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-joplin/pyproject.toml",
"repo_id": "llama_index",
"token_count": 677
} | 1,322 |
.PHONY: all format lint test tests test_watch 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/
test:
poetry run pytest $(TEST_FILE)
tests:
poetry run pytest $(TEST_... | langchain/libs/core/Makefile/0 | {
"file_path": "langchain/libs/core/Makefile",
"repo_id": "langchain",
"token_count": 884
} | 386 |
from __future__ import annotations
from typing import Iterator, List
from urllib.parse import urlparse
from langchain_community.embeddings.mlflow import MlflowEmbeddings
def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
for i in range(0, len(texts), size):
yield texts[i : i + size]
class... | langchain/libs/community/langchain_community/embeddings/databricks.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/databricks.py",
"repo_id": "langchain",
"token_count": 541
} | 256 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/llama_pack/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llama_pack/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,674 |
"""Base retrieval abstractions."""
import asyncio
from abc import abstractmethod
from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
from llama_index.core.bridge.pydantic import BaseModel, Field
from llama_index.core.evaluation.retrieval.metrics import resolve_metrics
from llama_index.core.evalu... | llama_index/llama-index-core/llama_index/core/evaluation/retrieval/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/retrieval/base.py",
"repo_id": "llama_index",
"token_count": 2742
} | 1,147 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-hwp/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hwp/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,381 |
package coordinator
import (
"sort"
"testing"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/chroma/chroma-coordinator/internal/model"
"github.com/chroma/chroma-coordinator/internal/types"
"github.com/stretchr/testify/assert"
)
func TestConvertCollectionMetadataToModel(t *test... | chroma/go/coordinator/internal/metastore/coordinator/model_db_convert_test.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/coordinator/model_db_convert_test.go",
"repo_id": "chroma",
"token_count": 2367
} | 44 |
import {
BaseClient,
BaseClientOptions,
GetTableSchemaResponse,
Schemas,
XataApiClient,
parseWorkspacesUrlParts,
} from "@xata.io/client";
import { BaseListChatMessageHistory } from "@langchain/core/chat_history";
import {
BaseMessage,
StoredMessage,
StoredMessageData,
mapChatMessagesToStoredMessage... | langchainjs/libs/langchain-community/src/stores/message/xata.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/stores/message/xata.ts",
"repo_id": "langchainjs",
"token_count": 2457
} | 1,002 |
[
{
"server": "idc-sh002",
"suite_params": [
{
"suite": "2_locust_search.yaml",
"image_type": "cpu"
},
{
"suite": "2_locust_search_index.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/locust.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/locust.json",
"repo_id": "milvus",
"token_count": 220
} | 1,964 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "cache/ioredis",
newEntrypointName: "caches/ioredis",
});
export * from "@langchain/community/caches/ioredis";
| langchainjs/langchain/src/cache/ioredis.ts/0 | {
"file_path": "langchainjs/langchain/src/cache/ioredis.ts",
"repo_id": "langchainjs",
"token_count": 88
} | 950 |
// 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/http/healthz/healthz_handler.go/0 | {
"file_path": "milvus/internal/http/healthz/healthz_handler.go",
"repo_id": "milvus",
"token_count": 1068
} | 1,936 |
from vertexai.preview.generative_models import ( # type: ignore
HarmBlockThreshold,
HarmCategory,
)
__all__ = ["HarmBlockThreshold", "HarmCategory"]
| langchain/libs/partners/google-vertexai/langchain_google_vertexai/_enums.py/0 | {
"file_path": "langchain/libs/partners/google-vertexai/langchain_google_vertexai/_enums.py",
"repo_id": "langchain",
"token_count": 55
} | 617 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-stripe-docs/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-stripe-docs/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,532 |
from rag_google_cloud_sensitive_data_protection.chain import chain
if __name__ == "__main__":
query = {
"question": "Good morning. My name is Captain Blackbeard. My phone number "
"is 555-555-5555. And my email is lovely.pirate@gmail.com. Have a nice day.",
"chat_history": [],
}
pri... | langchain/templates/rag-google-cloud-sensitive-data-protection/main.py/0 | {
"file_path": "langchain/templates/rag-google-cloud-sensitive-data-protection/main.py",
"repo_id": "langchain",
"token_count": 136
} | 661 |
import os
import sys
import torch
from diffusers import (
AutoPipelineForImage2Image,
AutoPipelineForInpainting,
AutoPipelineForText2Image,
ControlNetModel,
LCMScheduler,
StableDiffusionAdapterPipeline,
StableDiffusionControlNetPipeline,
StableDiffusionXLAdapterPipeline,
StableDiff... | diffusers/benchmarks/base_classes.py/0 | {
"file_path": "diffusers/benchmarks/base_classes.py",
"repo_id": "diffusers",
"token_count": 5055
} | 162 |
<!--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/en/model_doc/llama.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/llama.md",
"repo_id": "transformers",
"token_count": 2356
} | 509 |
import glob
import importlib
from pathlib import Path
def test_importable_all() -> None:
for path in glob.glob("../experimental/langchain_experimental/*"):
relative_path = Path(path).parts[-1]
if relative_path.endswith(".typed"):
continue
module_name = relative_path.split(".")[... | langchain/libs/experimental/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 216
} | 474 |
import subprocess
import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--check", action="store_true")
args = parser.parse_args()
output = subprocess.check_output(["text-generation-launcher", "--help"]).decode(
"utf-8"
)
wrap_code_blocks_flag = "<!-- WR... | text-generation-inference/update_doc.py/0 | {
"file_path": "text-generation-inference/update_doc.py",
"repo_id": "text-generation-inference",
"token_count": 991
} | 422 |
import datetime
import warnings
from typing import Any, Literal, Optional, Sequence, Union
from langchain_core.utils import check_package_version
from typing_extensions import TypedDict
try:
check_package_version("lark", gte_version="1.1.5")
from lark import Lark, Transformer, v_args
except ImportError:
... | langchain/libs/langchain/langchain/chains/query_constructor/parser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/query_constructor/parser.py",
"repo_id": "langchain",
"token_count": 2509
} | 490 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-myscale/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-myscale/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,526 |
import { test, expect } from "@jest/globals";
import { OpenAI } from "@langchain/openai";
import { AsyncCaller } from "@langchain/core/utils/async_caller";
test("AsyncCaller.call passes on arguments and returns return value", async () => {
const caller = new AsyncCaller({});
const callable = () => fetch("https://l... | langchainjs/langchain/src/util/tests/async_caller.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/util/tests/async_caller.int.test.ts",
"repo_id": "langchainjs",
"token_count": 505
} | 1,029 |
""" TinyViT
Paper: `TinyViT: Fast Pretraining Distillation for Small Vision Transformers`
- https://arxiv.org/abs/2207.10666
Adapted from official impl at https://github.com/microsoft/Cream/tree/main/TinyViT
"""
__all__ = ['TinyVit']
import math
import itertools
from functools import partial
from typing import ... | pytorch-image-models/timm/models/tiny_vit.py/0 | {
"file_path": "pytorch-image-models/timm/models/tiny_vit.py",
"repo_id": "pytorch-image-models",
"token_count": 12415
} | 390 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-zendesk/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-zendesk/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,441 |
# 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/glpn/convert_glpn_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/glpn/convert_glpn_to_pytorch.py",
"repo_id": "transformers",
"token_count": 3797
} | 669 |
import type { StructuredToolInterface } from "@langchain/core/tools";
import { BaseLLMOutputParser } from "@langchain/core/output_parsers";
import { AgentStep } from "@langchain/core/agents";
import { ChainValues } from "@langchain/core/utils/types";
import { ChatGeneration, Generation, RUN_KEY } from "@langchain/core... | langchainjs/langchain/src/evaluation/agents/trajectory.ts/0 | {
"file_path": "langchainjs/langchain/src/evaluation/agents/trajectory.ts",
"repo_id": "langchainjs",
"token_count": 2114
} | 931 |
"""Question answering over a graph."""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs.nebula_graph import NebulaGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langc... | langchain/libs/langchain/langchain/chains/graph_qa/nebulagraph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/nebulagraph.py",
"repo_id": "langchain",
"token_count": 1471
} | 504 |
from langchain_community.embeddings.javelin_ai_gateway import (
JavelinAIGatewayEmbeddings,
)
__all__ = ["JavelinAIGatewayEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/javelin_ai_gateway.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/javelin_ai_gateway.py",
"repo_id": "langchain",
"token_count": 56
} | 533 |
"""Init params."""
from llama_index.finetuning.cross_encoders.cross_encoder import (
CrossEncoderFinetuneEngine,
)
__all__ = ["CrossEncoderFinetuneEngine"]
| llama_index/llama-index-finetuning/llama_index/finetuning/cross_encoders/__init__.py/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/cross_encoders/__init__.py",
"repo_id": "llama_index",
"token_count": 58
} | 1,173 |
# Models
There are a few primary ways you interact with models in LlamaIndex:
```{toctree}
---
maxdepth: 1
---
llms.md
embeddings.md
```
Experimental
```{toctree}
---
maxdepth: 1
---
multi_modal.md
```
| llama_index/docs/module_guides/models/models.md/0 | {
"file_path": "llama_index/docs/module_guides/models/models.md",
"repo_id": "llama_index",
"token_count": 84
} | 1,144 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-dashvector/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-dashvector/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,421 |
"""Query engines based on the FLARE paper.
Active Retrieval Augmented Generation.
"""
from typing import Any, Dict, Optional
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.callbacks.base import Callb... | llama_index/llama-index-core/llama_index/core/query_engine/flare/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/flare/base.py",
"repo_id": "llama_index",
"token_count": 4229
} | 1,209 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/azblob/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/azblob/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,439 |
<!--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/t5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/t5.md",
"repo_id": "transformers",
"token_count": 6992
} | 456 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/common/binary_set_c.cpp/0 | {
"file_path": "milvus/internal/core/src/common/binary_set_c.cpp",
"repo_id": "milvus",
"token_count": 1503
} | 1,733 |
"""Toolkits for agents."""
from abc import ABC, abstractmethod
from typing import List
from langchain_core.pydantic_v1 import BaseModel
from langchain_community.tools import BaseTool
class BaseToolkit(BaseModel, ABC):
"""Base Toolkit representing a collection of related tools."""
@abstractmethod
def ge... | langchain/libs/community/langchain_community/agent_toolkits/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/base.py",
"repo_id": "langchain",
"token_count": 123
} | 211 |
# langchain
## 0.1.0 (Jan 5, 2024)
#### Deleted
No deletions.
#### Deprecated
Deprecated classes and methods will be removed in 0.2.0
| Deprecated | Alternative | Reason |
|---------------------------------|------------------------------... | langchain/docs/docs/changelog/langchain.mdx/0 | {
"file_path": "langchain/docs/docs/changelog/langchain.mdx",
"repo_id": "langchain",
"token_count": 1615
} | 88 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | datasets/metrics/super_glue/super_glue.py/0 | {
"file_path": "datasets/metrics/super_glue/super_glue.py",
"repo_id": "datasets",
"token_count": 4296
} | 135 |
/* eslint-disable import/first */
/* eslint-disable arrow-body-style */
import { z } from "zod";
import { DynamicStructuredTool } from "@langchain/core/tools";
const addTool = new DynamicStructuredTool({
name: "add",
description: "Add two integers together.",
schema: z.object({
firstInt: z.number(),
sec... | langchainjs/examples/src/use_cases/tool_use/multiple_tools.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/tool_use/multiple_tools.ts",
"repo_id": "langchainjs",
"token_count": 859
} | 855 |
// 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/datanode/flow_graph_manager.go/0 | {
"file_path": "milvus/internal/datanode/flow_graph_manager.go",
"repo_id": "milvus",
"token_count": 1478
} | 1,971 |
# This code was adapted from https://github.com/lucidrains/flamingo-pytorch licensed under the MIT License.
#
# MIT License
#
# Copyright (c) 2020 The Google AI Language Team Authors, The HuggingFace Inc. team and github/lonePatient
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of ... | text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_perceiver.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_perceiver.py",
"repo_id": "text-generation-inference",
"token_count": 5171
} | 441 |
import json
import re
import zipfile
from abc import ABC
from pathlib import Path
from typing import Iterator, List, Set, Tuple
from langchain_community.docstore.document import Document
from langchain_community.document_loaders.base import BaseBlobParser
from langchain_community.document_loaders.blob_loaders import B... | langchain/libs/community/langchain_community/document_loaders/parsers/vsdx.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/vsdx.py",
"repo_id": "langchain",
"token_count": 3850
} | 259 |
{
"name": "tokenizers-freebsd-x64",
"version": "0.13.4-rc1",
"os": [
"freebsd"
],
"cpu": [
"x64"
],
"main": "tokenizers.freebsd-x64.node",
"files": [
"tokenizers.freebsd-x64.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N... | tokenizers/bindings/node/npm/freebsd-x64/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/freebsd-x64/package.json",
"repo_id": "tokenizers",
"token_count": 272
} | 434 |
import { expect, test } from "@jest/globals";
import chroma from "./initClient";
import { EMBEDDINGS, IDS, METADATAS } from "./data";
test("it should delete a collection", async () => {
await chroma.reset();
const collection = await chroma.createCollection({ name: "test" });
await collection.add({ ids: IDS, embe... | chroma/clients/js/test/delete.collection.test.ts/0 | {
"file_path": "chroma/clients/js/test/delete.collection.test.ts",
"repo_id": "chroma",
"token_count": 236
} | 35 |
# coding=utf-8
# Copyright The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/src/transformers/models/xglm/configuration_xglm.py/0 | {
"file_path": "transformers/src/transformers/models/xglm/configuration_xglm.py",
"repo_id": "transformers",
"token_count": 2346
} | 693 |
<jupyter_start><jupyter_text>RAG Fusion Query PipelineThis notebook shows how to implement RAG Fusion using the LlamaIndex Query Pipeline syntax. Setup / Load DataWe load in the pg_essay.txt data.<jupyter_code>%pip install llama-index-llms-openai
%pip install llama-index-packs-rag-fusion-query-pipeline
!wget 'https://... | llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/examples/rag_fusion_pipeline.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/examples/rag_fusion_pipeline.ipynb",
"repo_id": "llama_index",
"token_count": 1151
} | 1,721 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.tencentvectordb import TencentVectorDB
def test_class():
names_of_base_classes = [b.__name__ for b in TencentVectorDB.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/tests/test_vector_stores_tencentvectordb.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/tests/test_vector_stores_tencentvectordb.py",
"repo_id": "llama_index",
"token_count": 96
} | 1,479 |
# Plug and Play Language Models: a Simple Approach to Controlled Text Generation
Authors: [Sumanth Dathathri](https://dathath.github.io/), [Andrea Madotto](https://andreamad8.github.io/), Janice Lan, Jane Hung, Eric Frank, [Piero Molino](https://w4nderlu.st/), [Jason Yosinski](http://yosinski.com/), and [Rosanne Liu](... | transformers/examples/research_projects/pplm/README.md/0 | {
"file_path": "transformers/examples/research_projects/pplm/README.md",
"repo_id": "transformers",
"token_count": 747
} | 539 |
"""Integration test for self ask with search."""
from langchain_community.llms.openai import OpenAI
from langchain.agents.react.base import ReActChain
from langchain.docstore.wikipedia import Wikipedia
def test_react() -> None:
"""Test functionality on a prompt."""
llm = OpenAI(temperature=0, model_name="gp... | langchain/libs/langchain/tests/integration_tests/chains/test_react.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/chains/test_react.py",
"repo_id": "langchain",
"token_count": 221
} | 584 |
# coding=utf-8
# Copyright 2023-present NAVER Corp, The Microsoft Research Asia LayoutLM Team Authors and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ht... | transformers/src/transformers/models/bros/modeling_bros.py/0 | {
"file_path": "transformers/src/transformers/models/bros/modeling_bros.py",
"repo_id": "transformers",
"token_count": 25108
} | 610 |
# Files for typos
# Instruction: https://github.com/marketplace/actions/typos-action#getting-started
[default.extend-identifiers]
[default.extend-words]
NIN="NIN" # NIN is used in scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py
nd="np" # nd may be np (numpy)
parms="parms" # parms is used in scripts/conver... | diffusers/_typos.toml/0 | {
"file_path": "diffusers/_typos.toml",
"repo_id": "diffusers",
"token_count": 151
} | 168 |
from langchain import hub
from langchain.load import dumps, loads
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Pinecone
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydanti... | langchain/templates/rag-fusion/rag_fusion/chain.py/0 | {
"file_path": "langchain/templates/rag-fusion/rag_fusion/chain.py",
"repo_id": "langchain",
"token_count": 542
} | 731 |
0.1.0
| llama_index/llama-index-legacy/VERSION/0 | {
"file_path": "llama_index/llama-index-legacy/VERSION",
"repo_id": "llama_index",
"token_count": 6
} | 1,502 |
# candle-wuerstchen: Efficient Pretraining of Text-to-Image Models
The `wuerstchen` example is a port of the [diffusers
implementation](https://github.com/huggingface/diffusers/tree/19edca82f1ff194c07317369a92b470dbae97f34/src/diffusers/pipelines/wuer... | candle/candle-examples/examples/wuerstchen/README.md/0 | {
"file_path": "candle/candle-examples/examples/wuerstchen/README.md",
"repo_id": "candle",
"token_count": 358
} | 53 |
# coding=utf-8
# Copyright 2020 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/funnel/convert_funnel_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/funnel/convert_funnel_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 797
} | 691 |
libdir=@CMAKE_INSTALL_FULL_LIBDIR@
includedir=@CMAKE_INSTALL_FULL_INCLUDEDIR@
Name: Milvus index
Description: index modules for Milvus
Version: @MILVUS_VERSION@
Libs: -L${libdir} -lmilvus_index
Cflags: -I${includedir}
| milvus/internal/core/src/index/milvus_index.pc.in/0 | {
"file_path": "milvus/internal/core/src/index/milvus_index.pc.in",
"repo_id": "milvus",
"token_count": 96
} | 1,873 |
delete_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_1m_128_128_l2_delete
cache_config.cpu_cache_capacity: 16GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/011_delete_performance.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_delete_performance.yaml",
"repo_id": "milvus",
"token_count": 281
} | 1,935 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-rag-evaluator/llama_index/packs/rag_evaluator/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-evaluator/llama_index/packs/rag_evaluator/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,719 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/bit.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bit.md",
"repo_id": "transformers",
"token_count": 1858
} | 518 |
#![allow(clippy::map_entry)]
use super::{Pair, WithFirstLastIterator, Word, BPE};
use crate::parallelism::*;
use crate::tokenizer::{AddedToken, Result, Trainer};
use crate::utils::progress::{ProgressBar, ProgressStyle};
use serde::{Deserialize, Serialize};
use std::cmp::Ordering;
use std::collections::{BinaryHeap, Has... | tokenizers/tokenizers/src/models/bpe/trainer.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/bpe/trainer.rs",
"repo_id": "tokenizers",
"token_count": 15117
} | 435 |
"""
This script reads DPR retriever training data and parses each datapoint. We save a line per datapoint.
Each line consists of the query followed by a tab-separated list of Wikipedia page titles constituting
positive contexts for a given query.
"""
import argparse
import json
from tqdm import tqdm
def main():
... | transformers/examples/research_projects/rag/parse_dpr_relevance_data.py/0 | {
"file_path": "transformers/examples/research_projects/rag/parse_dpr_relevance_data.py",
"repo_id": "transformers",
"token_count": 559
} | 535 |
"""Query Tree using embedding similarity between query and node text."""
import logging
from typing import Dict, List, Tuple, cast
from llama_index.legacy.indices.tree.select_leaf_retriever import (
TreeSelectLeafRetriever,
)
from llama_index.legacy.indices.utils import get_sorted_node_list
from llama_index.legac... | llama_index/llama-index-legacy/llama_index/legacy/indices/tree/select_leaf_embedding_retriever.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/tree/select_leaf_embedding_retriever.py",
"repo_id": "llama_index",
"token_count": 2050
} | 1,567 |
python_sources()
| llama_index/llama-index-core/llama_index/core/agent/runner/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/runner/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,198 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.playgrounds import (
PlaygroundsSubgraphConnectorToolSpec,
PlaygroundsSubgraphInspectorToolSpec,
)
def test_class():
names_of_base_classes = [
b.__name__ for b in PlaygroundsSubgraphConnectorToolSpec.__mro__
... | llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/tests/test_tools_playgrounds.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/tests/test_tools_playgrounds.py",
"repo_id": "llama_index",
"token_count": 202
} | 1,497 |
pub(crate) mod affine;
pub(crate) mod matmul;
pub(crate) mod random;
pub(crate) mod where_cond;
use candle_core::{Device, Result};
pub(crate) trait BenchDevice {
fn sync(&self) -> Result<()>;
fn bench_name<S: Into<String>>(&self, name: S) -> String;
}
impl BenchDevice for Device {
fn sync(&self) -> Resu... | candle/candle-core/benches/benchmarks/mod.rs/0 | {
"file_path": "candle/candle-core/benches/benchmarks/mod.rs",
"repo_id": "candle",
"token_count": 1019
} | 27 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.graphql import GraphQLToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in GraphQLToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-graphql/tests/test_tools_graphql.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-graphql/tests/test_tools_graphql.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,483 |
# 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/data2vec/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/data2vec/__init__.py",
"repo_id": "transformers",
"token_count": 2188
} | 626 |
import os
import pickle
import tempfile
import time
from multiprocessing import Pool
from unittest import TestCase
import pytest
from datasets.features import Features, Sequence, Value
from datasets.metric import Metric, MetricInfo
from .utils import require_tf, require_torch
class DummyMetric(Metric):
def _in... | datasets/tests/test_metric.py/0 | {
"file_path": "datasets/tests/test_metric.py",
"repo_id": "datasets",
"token_count": 10533
} | 145 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/musicgen/processing_musicgen.py/0 | {
"file_path": "transformers/src/transformers/models/musicgen/processing_musicgen.py",
"repo_id": "transformers",
"token_count": 2176
} | 719 |
{
"name": "tokenizers-darwin-arm64",
"version": "0.13.4-rc1",
"os": [
"darwin"
],
"cpu": [
"arm64"
],
"main": "tokenizers.darwin-arm64.node",
"files": [
"tokenizers.darwin-arm64.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
... | tokenizers/bindings/node/npm/darwin-arm64/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/darwin-arm64/package.json",
"repo_id": "tokenizers",
"token_count": 268
} | 454 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/longformer/test_modeling_tf_longformer.py/0 | {
"file_path": "transformers/tests/models/longformer/test_modeling_tf_longformer.py",
"repo_id": "transformers",
"token_count": 15156
} | 809 |
"""Tool for the Wikidata API."""
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.wikidata import WikidataAPIWrapper
class WikidataQueryRun(BaseTool):
"""Tool that searches the Wikidata API.""... | langchain/libs/community/langchain_community/tools/wikidata/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/wikidata/tool.py",
"repo_id": "langchain",
"token_count": 334
} | 296 |
from llama_index.readers.file.docs.base import DocxReader, HWPReader, PDFReader
from llama_index.readers.file.epub.base import EpubReader
from llama_index.readers.file.flat.base import FlatReader
from llama_index.readers.file.html.base import HTMLTagReader
from llama_index.readers.file.image.base import ImageReader
fro... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/__init__.py",
"repo_id": "llama_index",
"token_count": 591
} | 1,359 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/tensorflow/text-classification/README.md/0 | {
"file_path": "transformers/examples/tensorflow/text-classification/README.md",
"repo_id": "transformers",
"token_count": 1666
} | 585 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/pix2struct/image_processing_pix2struct.py/0 | {
"file_path": "transformers/src/transformers/models/pix2struct/image_processing_pix2struct.py",
"repo_id": "transformers",
"token_count": 8161
} | 717 |
<jupyter_start><jupyter_text>Google Cloud Storage Directory>[Google Cloud Storage](https://en.wikipedia.org/wiki/Google_Cloud_Storage) is a managed service for storing unstructured data.This covers how to load document objects from an `Google Cloud Storage (GCS) directory (bucket)`.<jupyter_code>%pip install --upgrade ... | langchain/docs/docs/integrations/document_loaders/google_cloud_storage_directory.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/google_cloud_storage_directory.ipynb",
"repo_id": "langchain",
"token_count": 745
} | 103 |
#!/usr/bin/env python3
import logging
import pathlib
import re
import sys
from dataclasses import dataclass, field
from typing import Any, Callable, Dict, List, Optional, Set, Union
import datasets
import librosa
import numpy as np
import torch
from lang_trans import arabic
from packaging import version
from torch imp... | transformers/examples/research_projects/wav2vec2/run_asr.py/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/run_asr.py",
"repo_id": "transformers",
"token_count": 8256
} | 620 |
FROM python:3.11-buster
RUN pip install poetry==1.5.1
RUN poetry config virtualenvs.create false
COPY ./pyproject.toml ./poetry.lock* ./
RUN poetry install --no-interaction --no-ansi --no-root --no-directory
COPY ./*.py ./.google_vertex_ai_credentials.jso[n] ./
RUN poetry install --no-interaction --no-ansi
CMD ... | weblangchain/Dockerfile/0 | {
"file_path": "weblangchain/Dockerfile",
"repo_id": "weblangchain",
"token_count": 146
} | 1,928 |
import { DataSource } from "typeorm";
import { SqlDatabase } from "langchain/sql_db";
import { ChatOpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { RunnableSequence } from "@langchain/core/runnables";
import { StringOutputParser } from "@langchain/core/output_parsers... | langchainjs/examples/src/chains/sql_db_sql_output.ts/0 | {
"file_path": "langchainjs/examples/src/chains/sql_db_sql_output.ts",
"repo_id": "langchainjs",
"token_count": 988
} | 824 |
# imlementation of the PhiModel and PhiForCausalLM classes
import torch
import torch.distributed
import math
from torch import nn
from typing import Optional, List, Tuple, Any
from transformers.configuration_utils import PretrainedConfig
from transformers.modeling_outputs import CausalLMOutputWithPast
from text_gene... | text-generation-inference/server/text_generation_server/models/custom_modeling/phi_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/phi_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 5628
} | 445 |
from typing import Any, Dict, List
from langchain.memory.chat_memory import BaseChatMemory
from langchain.memory.utils import get_prompt_input_key
from langchain_core.vectorstores import VectorStoreRetriever
from langchain_experimental.pydantic_v1 import Field
class AutoGPTMemory(BaseChatMemory):
"""Memory for ... | langchain/libs/experimental/langchain_experimental/autonomous_agents/autogpt/memory.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/autonomous_agents/autogpt/memory.py",
"repo_id": "langchain",
"token_count": 452
} | 455 |
// File from https://github.com/mlpen/YOSO/blob/main/encoders/backbones/efficient_attentions/yoso/yoso_v1/cuda/fast_lsh_cumulation.cu
#include <torch/extension.h>
#include <ATen/ATen.h>
#include "fast_lsh_cumulation.h"
#include "fast_lsh_cumulation_cuda.h"
#include "common_cuda.h"
#include "common.h"
#include <vector>... | transformers/src/transformers/kernels/yoso/fast_lsh_cumulation.cu/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/fast_lsh_cumulation.cu",
"repo_id": "transformers",
"token_count": 8662
} | 601 |
import { test, expect } from "@jest/globals";
import * as url from "node:url";
import * as path from "node:path";
import { Document } from "@langchain/core/documents";
import { ObsidianLoader } from "../fs/obsidian.js";
const STANDARD_METADATA_FIELDS = [
"created",
"path",
"source",
"lastAccessed",
"lastModi... | langchainjs/langchain/src/document_loaders/tests/obsidian.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/obsidian.test.ts",
"repo_id": "langchainjs",
"token_count": 1749
} | 909 |
# 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/legacy/question-answering/run_squad_trainer.py/0 | {
"file_path": "transformers/examples/legacy/question-answering/run_squad_trainer.py",
"repo_id": "transformers",
"token_count": 2569
} | 508 |
import os
from typing import List
from langchain_community.document_loaders.unstructured import UnstructuredFileLoader
class UnstructuredPowerPointLoader(UnstructuredFileLoader):
"""Load `Microsoft PowerPoint` files using `Unstructured`.
Works with both .ppt and .pptx files.
You can run the loader in on... | langchain/libs/community/langchain_community/document_loaders/powerpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/powerpoint.py",
"repo_id": "langchain",
"token_count": 954
} | 247 |
from unittest.mock import MagicMock, patch
import pytest
from llama_index.readers.arango_db import SimpleArangoDBReader
@pytest.fixture()
def mock_arangodb_client():
with patch("arango.ArangoClient") as mock_client:
# Mock the behavior of the db and collection
mock_db = MagicMock()
mock_s... | llama_index/llama-index-integrations/readers/llama-index-readers-arango-db/tests/test_arangodb.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-arango-db/tests/test_arangodb.py",
"repo_id": "llama_index",
"token_count": 514
} | 1,338 |
// 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/replica_observer.go/0 | {
"file_path": "milvus/internal/querycoordv2/observers/replica_observer.go",
"repo_id": "milvus",
"token_count": 1484
} | 1,757 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.