text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// 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/proxy/channels_mgr.go/0 | {
"file_path": "milvus/internal/proxy/channels_mgr.go",
"repo_id": "milvus",
"token_count": 3939
} | 1,740 |
# StackoverflowReader (In Beta)
Using the Stackoverflow API, this class will read the Stackoverflow Teams API and return a list of questions and answers based on posts.
It also supports caching the results to a local directory, so that you can run the load_data() method multiple times without hitting the API.
## get... | llama_index/llama-index-integrations/readers/llama-index-readers-stackoverflow/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-stackoverflow/README.md",
"repo_id": "llama_index",
"token_count": 244
} | 1,384 |
from typing import List, Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_community.tools.office365.base import O365BaseTool
class CreateDraftMessageSchema(BaseModel):
"""Input for SendMessageTool."""
body: ... | langchain/libs/community/langchain_community/tools/office365/create_draft_message.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/office365/create_draft_message.py",
"repo_id": "langchain",
"token_count": 754
} | 290 |
# 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/tests/pipelines/test_pipelines_zero_shot_image_classification.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_zero_shot_image_classification.py",
"repo_id": "transformers",
"token_count": 5307
} | 841 |
import logging
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.uti... | langchain/libs/community/langchain_community/llms/opaqueprompts.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/opaqueprompts.py",
"repo_id": "langchain",
"token_count": 1683
} | 282 |
<jupyter_start><jupyter_text>Reddit>[Reddit](https://www.reddit.com) is an American social news aggregation, content rating, and discussion website.This loader fetches the text from the Posts of Subreddits or Reddit users, using the `praw` Python package.Make a [Reddit Application](https://www.reddit.com/prefs/apps/) a... | langchain/docs/docs/integrations/document_loaders/reddit.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/reddit.ipynb",
"repo_id": "langchain",
"token_count": 508
} | 109 |
# coding=utf-8
# Copyright 2023 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/tools/test_tools_common.py/0 | {
"file_path": "transformers/tests/tools/test_tools_common.py",
"repo_id": "transformers",
"token_count": 1790
} | 849 |
<script lang="ts">
import { createEventDispatcher } from "svelte";
import IconGear from "~icons/bi/gear-fill";
import { base } from "$app/paths";
import type { Assistant } from "$lib/types/Assistant";
export let assistant: Pick<
Assistant,
"avatar" | "name" | "modelId" | "createdByName" | "exampleInputs" | "_... | chat-ui/src/lib/components/chat/AssistantIntroduction.svelte/0 | {
"file_path": "chat-ui/src/lib/components/chat/AssistantIntroduction.svelte",
"repo_id": "chat-ui",
"token_count": 1354
} | 95 |
use candle_metal_kernels::{call_cast_contiguous, Kernels};
use metal::objc::rc::autoreleasepool;
use metal::{Device, MTLResourceOptions};
use rand;
use std::any::type_name;
use std::time::Instant;
fn main() {
let device = Device::system_default().unwrap();
let kernels = Kernels::new();
let f32_1k = (0..10... | candle/candle-metal-kernels/tmp/cast.rs/0 | {
"file_path": "candle/candle-metal-kernels/tmp/cast.rs",
"repo_id": "candle",
"token_count": 1299
} | 66 |
export * from "./document.js";
export * from "./transformers.js";
| langchainjs/langchain-core/src/documents/index.ts/0 | {
"file_path": "langchainjs/langchain-core/src/documents/index.ts",
"repo_id": "langchainjs",
"token_count": 21
} | 831 |
from llama_index.packs.sub_question_weaviate.base import WeaviateSubQuestionPack
__all__ = ["WeaviateSubQuestionPack"]
| llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/llama_index/packs/sub_question_weaviate/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/llama_index/packs/sub_question_weaviate/__init__.py",
"repo_id": "llama_index",
"token_count": 39
} | 1,821 |
from abc import abstractmethod
from typing import List
from llama_index.core.indices.query.schema import QueryBundle, QueryType
from llama_index.core.prompts.mixin import PromptMixin
from llama_index.core.schema import NodeWithScore
class BaseImageRetriever(PromptMixin):
"""Base Image Retriever Abstraction."""
... | llama_index/llama-index-core/llama_index/core/image_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/image_retriever.py",
"repo_id": "llama_index",
"token_count": 1399
} | 1,149 |
// Copyright (C) 2019-2023 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/simd/sse2.cpp/0 | {
"file_path": "milvus/internal/core/src/simd/sse2.cpp",
"repo_id": "milvus",
"token_count": 5359
} | 1,888 |
<jupyter_start><jupyter_text>Activeloop Deep Lake>[Activeloop Deep Lake](https://docs.activeloop.ai/) as a Multi-Modal Vector Store that stores embeddings and their metadata including text, Jsons, images, audio, video, and more. It saves the data locally, in your cloud, or on Activeloop storage. It performs hybrid sear... | langchain/docs/docs/integrations/vectorstores/activeloop_deeplake.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/activeloop_deeplake.ipynb",
"repo_id": "langchain",
"token_count": 3473
} | 188 |
import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage } from "@langchain/core/messages";
const chat = new ChatOpenAI({ temperature: 1 });
const response = await chat.call(
[
new HumanMessage(
"What is a good name for a company that makes colorful socks?"
),
],
{ timeout: 1000 } // ... | langchainjs/examples/src/models/chat/chat_timeout.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/chat_timeout.ts",
"repo_id": "langchainjs",
"token_count": 133
} | 863 |
"""Finetuning Engine."""
from abc import ABC, abstractmethod
from typing import Any
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.llms.llm import LLM
from llama_index.core.postprocessor import SentenceTransformerRerank
from llama_index.postprocessor.cohere_rerank import CohereR... | llama_index/llama-index-finetuning/llama_index/finetuning/types.py/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/types.py",
"repo_id": "llama_index",
"token_count": 624
} | 1,254 |
import gc
import json
import os
import time
from pathlib import Path
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import DEFAULT_CONTEXT_WINDOW, DEF... | llama_index/llama-index-legacy/llama_index/legacy/llms/nvidia_tensorrt.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/nvidia_tensorrt.py",
"repo_id": "llama_index",
"token_count": 5175
} | 1,575 |
import { Writer as WriterClient } from "@writerai/writer-sdk";
import { type BaseLLMParams, LLM } from "@langchain/core/language_models/llms";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
/**
* Interface for the input parameters specific to the Writer model.
*/
export interface WriterInput ex... | langchainjs/libs/langchain-community/src/llms/writer.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/writer.ts",
"repo_id": "langchainjs",
"token_count": 1661
} | 995 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "storage/vercel_kv",
});
export * from "@langchain/community/storage/vercel_kv";
| langchainjs/langchain/src/storage/vercel_kv.ts/0 | {
"file_path": "langchainjs/langchain/src/storage/vercel_kv.ts",
"repo_id": "langchainjs",
"token_count": 76
} | 951 |
# 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/gpt2/test_modeling_tf_gpt2.py/0 | {
"file_path": "transformers/tests/models/gpt2/test_modeling_tf_gpt2.py",
"repo_id": "transformers",
"token_count": 14210
} | 787 |
# 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/tests/models/albert/test_modeling_flax_albert.py/0 | {
"file_path": "transformers/tests/models/albert/test_modeling_flax_albert.py",
"repo_id": "transformers",
"token_count": 2637
} | 796 |
# coding=utf-8
# Copyright 2022 The HuggingFace Team and Microsoft Research AI4Science 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/licen... | transformers/src/transformers/models/biogpt/modeling_biogpt.py/0 | {
"file_path": "transformers/src/transformers/models/biogpt/modeling_biogpt.py",
"repo_id": "transformers",
"token_count": 17918
} | 624 |
import CodeBlock from "@theme/CodeBlock";
# Replicate
Here's an example of calling a Replicate model as an LLM:
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallTooltip>
```bash npm2yarn
npm install replicate @langchain/communit... | langchainjs/docs/core_docs/docs/integrations/llms/replicate.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/replicate.mdx",
"repo_id": "langchainjs",
"token_count": 192
} | 733 |
# 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/convnext/convert_convnext_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/convnext/convert_convnext_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4224
} | 663 |
import argparse
import math
import traceback
import dateutil.parser as date_parser
import requests
def extract_time_from_single_job(job):
"""Extract time info from a single job in a GitHub Actions workflow run"""
job_info = {}
start = job["started_at"]
end = job["completed_at"]
start_datetime ... | transformers/utils/get_github_job_time.py/0 | {
"file_path": "transformers/utils/get_github_job_time.py",
"repo_id": "transformers",
"token_count": 835
} | 856 |
package planparserv2
import (
"fmt"
"math"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
parser "github.com/milvus-io/milvus/internal/parser/planparserv2/generated"
"github.com/milvus-io/milvus/internal/proto/planpb"
)
var arithExprMap = map[int]planpb.ArithOpType{
parser.PlanParserADD: planpb.ArithOp... | milvus/internal/parser/planparserv2/operators.go/0 | {
"file_path": "milvus/internal/parser/planparserv2/operators.go",
"repo_id": "milvus",
"token_count": 7442
} | 1,735 |
import { test, expect } from "@jest/globals";
import { z } from "zod";
import { ChatOpenAI } from "@langchain/openai";
import { createExtractionChainFromZod } from "../extraction.js";
test("extraction chain", async () => {
const chain = createExtractionChainFromZod(
z.object({
"person-name": z.string().op... | langchainjs/langchain/src/chains/openai_functions/tests/extraction.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/openai_functions/tests/extraction.int.test.ts",
"repo_id": "langchainjs",
"token_count": 515
} | 891 |
"""dad_jokes reader."""
from typing import List
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class DadJokesReader(BaseReader):
"""Dad jokes reader.
Reads a random dad joke.
"""
def _get_random_dad_joke(self):
response = ... | llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/llama_index/readers/dad_jokes/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/llama_index/readers/dad_jokes/base.py",
"repo_id": "llama_index",
"token_count": 298
} | 1,389 |
package metautil
import (
"path"
"github.com/milvus-io/milvus/pkg/common"
)
func BuildSegmentIndexFilePath(rootPath string, buildID, indexVersion, partID, segID int64, fileKey string) string {
k := JoinIDPath(buildID, indexVersion, partID, segID)
return path.Join(rootPath, common.SegmentIndexPath, k, fileKey)
}
... | milvus/pkg/util/metautil/segment_index.go/0 | {
"file_path": "milvus/pkg/util/metautil/segment_index.go",
"repo_id": "milvus",
"token_count": 237
} | 1,836 |
"""DEPRECATED: Kept for backwards compatibility."""
from langchain_core.utils.formatting import StrictFormatter, formatter
__all__ = ["StrictFormatter", "formatter"]
| langchain/libs/langchain/langchain/formatting.py/0 | {
"file_path": "langchain/libs/langchain/langchain/formatting.py",
"repo_id": "langchain",
"token_count": 48
} | 530 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/mq/msgstream/mqwrapper/nmq/nmq_id_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/nmq/nmq_id_test.go",
"repo_id": "milvus",
"token_count": 870
} | 1,900 |
// 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/rootcoord/root_coord.go/0 | {
"file_path": "milvus/internal/rootcoord/root_coord.go",
"repo_id": "milvus",
"token_count": 39890
} | 1,922 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.docstring_walker import DocstringWalker
def test_class():
names_of_base_classes = [b.__name__ for b in DocstringWalker.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-docstring-walker/tests/test_readers_docstring_walker.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-docstring-walker/tests/test_readers_docstring_walker.py",
"repo_id": "llama_index",
"token_count": 90
} | 1,426 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | transformers/src/transformers/quantizers/auto.py/0 | {
"file_path": "transformers/src/transformers/quantizers/auto.py",
"repo_id": "transformers",
"token_count": 2583
} | 780 |
# Querying
Now you've loaded your data, built an index, and stored that index for later, you're ready to get to the most significant part of an LLM application: querying.
At its simplest, querying is just a prompt call to an LLM: it can be a question and get an answer, or a request for summarization, or a much more c... | llama_index/docs/understanding/querying/querying.md/0 | {
"file_path": "llama_index/docs/understanding/querying/querying.md",
"repo_id": "llama_index",
"token_count": 1860
} | 1,152 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ja/stable_diffusion.md/0 | {
"file_path": "diffusers/docs/source/ja/stable_diffusion.md",
"repo_id": "diffusers",
"token_count": 6241
} | 194 |
<!--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/ja/model_doc/bart.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bart.md",
"repo_id": "transformers",
"token_count": 5122
} | 539 |
# coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 28422
} | 444 |
"""Azure Speech tool spec."""
import time
from typing import List, Optional
from llama_index.core.tools.tool_spec.base import BaseToolSpec
class AzureSpeechToolSpec(BaseToolSpec):
"""Azure Speech tool spec."""
spec_functions = ["speech_to_text", "text_to_speech"]
def __init__(
self, region: st... | llama_index/llama-index-integrations/tools/llama-index-tools-azure-speech/llama_index/tools/azure_speech/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-azure-speech/llama_index/tools/azure_speech/base.py",
"repo_id": "llama_index",
"token_count": 1231
} | 1,473 |
# Copyright 2022 The HuggingFace Team and Brian Chao. 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... | accelerate/src/accelerate/commands/menu/selection_menu.py/0 | {
"file_path": "accelerate/src/accelerate/commands/menu/selection_menu.py",
"repo_id": "accelerate",
"token_count": 2186
} | 9 |
<jupyter_start><jupyter_text>Connect to templateIn `server.py`, set -```add_routes(app, chain_ext, path="/rag_opensearch")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app = RemoteRunnable("http://localhost:8001/rag-opensearch")
rag_app.invoke("What is the ip address used in the image processing log... | langchain/templates/rag-opensearch/rag_opensearch.ipynb/0 | {
"file_path": "langchain/templates/rag-opensearch/rag_opensearch.ipynb",
"repo_id": "langchain",
"token_count": 124
} | 666 |
import { test, expect } from "@jest/globals";
import * as uuid from "uuid";
import { CallbackManager } from "../manager.js";
import { BaseCallbackHandler, type BaseCallbackHandlerInput } from "../base.js";
import type { Serialized } from "../../load/serializable.js";
import { Document } from "../../documents/document.j... | langchainjs/langchain-core/src/callbacks/tests/callbacks.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/callbacks/tests/callbacks.test.ts",
"repo_id": "langchainjs",
"token_count": 5013
} | 894 |
import { OpenAI } from "@langchain/openai";
import { PythonInterpreterTool } from "langchain/experimental/tools/pyinterpreter";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { StringOutputParser } from "@langchain/core/output_parsers";
const prompt = ChatPromptTemplate.fromTemplate(
`Generate ... | langchainjs/examples/src/tools/pyinterpreter.ts/0 | {
"file_path": "langchainjs/examples/src/tools/pyinterpreter.ts",
"repo_id": "langchainjs",
"token_count": 490
} | 886 |
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class Translation:
"""`FeatureConnector` for translations with fixed languages per example.
Here for ... | datasets/src/datasets/features/translation.py/0 | {
"file_path": "datasets/src/datasets/features/translation.py",
"repo_id": "datasets",
"token_count": 1680
} | 129 |
<jupyter_start><jupyter_text>Guidance Pydantic Program Generate structured data with [**guidance**](https://github.com/microsoft/guidance) via LlamaIndex. With guidance, you can guarantee the output structure is correct by *forcing* the LLM to output desired tokens. This is especialy helpful when you are using lower-... | llama_index/docs/examples/output_parsing/guidance_pydantic_program.ipynb/0 | {
"file_path": "llama_index/docs/examples/output_parsing/guidance_pydantic_program.ipynb",
"repo_id": "llama_index",
"token_count": 570
} | 1,123 |
from typing import List
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.extractors import (
QuestionsAnsweredExtractor,
SummaryExtractor,
TitleExtractor,
)
from llama_index.core.indices.prompt_helper import PromptHelper
from llama_index.core.llms.mock import Moc... | llama_index/llama-index-core/tests/indices/test_service_context.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/test_service_context.py",
"repo_id": "llama_index",
"token_count": 725
} | 1,190 |
from langchain_community.document_loaders.pyspark_dataframe import (
PySparkDataFrameLoader,
)
__all__ = ["PySparkDataFrameLoader"]
| langchain/libs/langchain/langchain/document_loaders/pyspark_dataframe.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/pyspark_dataframe.py",
"repo_id": "langchain",
"token_count": 47
} | 488 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/llama_index/vector_stores/typesense/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/llama_index/vector_stores/typesense/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,681 |
""" Knowledge Graph Query Engine."""
import logging
from typing import Any, Dict, List, Optional, Sequence
from llama_index.legacy.callbacks.schema import CBEventType, EventPayload
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import RESPONSE_TYPE
f... | llama_index/llama-index-legacy/llama_index/legacy/query_engine/knowledge_graph_query_engine.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/query_engine/knowledge_graph_query_engine.py",
"repo_id": "llama_index",
"token_count": 5318
} | 1,754 |
"""
This tool allows agents to interact with the clickup library
and operate on a Clickup instance.
To use this tool, you must first set as environment variables:
client_secret
client_id
code
Below is a sample script that uses the Clickup tool:
```python
from langchain_community.agent_toolkits.clickup.too... | langchain/libs/community/langchain_community/tools/clickup/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/clickup/tool.py",
"repo_id": "langchain",
"token_count": 402
} | 283 |
import logging
from langchain.output_parsers.openai_tools import JsonOutputToolsParser
from langchain_community.chat_models import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnableLambda
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__... | langchain/templates/propositional-retrieval/propositional_retrieval/proposal_chain.py/0 | {
"file_path": "langchain/templates/propositional-retrieval/propositional_retrieval/proposal_chain.py",
"repo_id": "langchain",
"token_count": 1723
} | 686 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Tour rápido
- local: installation
title: Instalação
title: Início
- sections:
- local: pipeline_tutorial
title: Pipelines para inferência
- local: training
title: Fine-tuning de um modelo pré-treinado
- local: ... | transformers/docs/source/pt/_toctree.yml/0 | {
"file_path": "transformers/docs/source/pt/_toctree.yml",
"repo_id": "transformers",
"token_count": 424
} | 510 |
"""Handle chained inputs."""
from typing import Dict, List, Optional, TextIO
_TEXT_COLOR_MAPPING = {
"blue": "36;1",
"yellow": "33;1",
"pink": "38;5;200",
"green": "32;1",
"red": "31;1",
}
def get_color_mapping(
items: List[str], excluded_colors: Optional[List] = None
) -> Dict[str, str]:
... | langchain/libs/core/langchain_core/utils/input.py/0 | {
"file_path": "langchain/libs/core/langchain_core/utils/input.py",
"repo_id": "langchain",
"token_count": 521
} | 426 |
import sys
from numpy import NaN
from pymilvus import Partition
sys.path.append("..")
from check.func_check import ResponseChecker
from utils.api_request import api_request
from common.common_func import param_info
TIMEOUT = 180
class ApiPartitionWrapper:
partition = None
def init_partition(self, collect... | milvus/tests/python_client/base/partition_wrapper.py/0 | {
"file_path": "milvus/tests/python_client/base/partition_wrapper.py",
"repo_id": "milvus",
"token_count": 3122
} | 2,017 |
"""Test Fireworks chat model"""
import sys
import pytest
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langchain_community.chat_models import ChatFireworks
if sys.version_info < (3, 9):
pytest.skip("fireworks-ai requires Python > 3.8", allow_module_level=True)
@pytest... | langchain/libs/community/tests/unit_tests/chat_models/test_fireworks.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/chat_models/test_fireworks.py",
"repo_id": "langchain",
"token_count": 297
} | 364 |
"""Init params."""
| llama_index/llama-index-legacy/tests/indices/knowledge_graph/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/knowledge_graph/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,551 |
// 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/proxy/task_search_test.go/0 | {
"file_path": "milvus/internal/proxy/task_search_test.go",
"repo_id": "milvus",
"token_count": 36516
} | 1,752 |
---
hide_table_of_contents: true
sidebar_class_name: node-only
---
# Couchbase
[Couchbase](http://couchbase.com/) is an award-winning distributed NoSQL cloud database that delivers unmatched versatility, performance, scalability, and financial value for all of your cloud, mobile, AI, and edge computing applications.
... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/couchbase.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/couchbase.mdx",
"repo_id": "langchainjs",
"token_count": 859
} | 780 |
"""
BlurPool layer inspired by
- Kornia's Max_BlurPool2d
- Making Convolutional Networks Shift-Invariant Again :cite:`zhang2019shiftinvar`
Hacked together by Chris Ha and Ross Wightman
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .padding import get_padding
class ... | pytorch-image-models/timm/layers/blur_pool.py/0 | {
"file_path": "pytorch-image-models/timm/layers/blur_pool.py",
"repo_id": "pytorch-image-models",
"token_count": 625
} | 390 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/html/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/html/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,366 |
<!--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/es/custom_models.md/0 | {
"file_path": "transformers/docs/source/es/custom_models.md",
"repo_id": "transformers",
"token_count": 5983
} | 482 |
# Cohere
>[Cohere](https://cohere.ai/about) is a Canadian startup that provides natural language processing models
> that help companies improve human-machine interactions.
## Installation and Setup
- Install the Python SDK :
```bash
pip install cohere
```
Get a [Cohere api key](https://dashboard.cohere.ai/) and set... | langchain/docs/docs/integrations/providers/cohere.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/cohere.mdx",
"repo_id": "langchain",
"token_count": 777
} | 132 |
/** From https://github.com/SidU/teams-langchain-js/wiki/Connecting-IFTTT-Services.
# Creating a webhook
- Go to https://ifttt.com/create
# Configuring the "If This"
- Click on the "If This" button in the IFTTT interface.
- Search for "Webhooks" in the search bar.
- Choose the first option for "Receive a web request ... | langchainjs/libs/langchain-community/src/tools/ifttt.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/ifttt.ts",
"repo_id": "langchainjs",
"token_count": 824
} | 1,007 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.typesense import TypesenseVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in TypesenseVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/tests/test_vector_stores_typesense.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/tests/test_vector_stores_typesense.py",
"repo_id": "llama_index",
"token_count": 92
} | 1,481 |
import ast
import copy
from types import CodeType, ModuleType
from typing import Any, Dict, Mapping, Sequence, Union
ALLOWED_IMPORTS = {
"math",
"time",
"datetime",
"pandas",
"scipy",
"numpy",
"matplotlib",
"plotly",
"seaborn",
}
def _restricted_import(
name: str,
globals:... | llama_index/llama-index-core/llama_index/core/exec_utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/exec_utils.py",
"repo_id": "llama_index",
"token_count": 1648
} | 1,211 |
"""Jira Toolkit."""
| langchain/libs/community/langchain_community/agent_toolkits/jira/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/jira/__init__.py",
"repo_id": "langchain",
"token_count": 8
} | 220 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/deplot.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deplot.md",
"repo_id": "transformers",
"token_count": 2027
} | 497 |
"""Test pandas index."""
import os
import sys
from pathlib import Path
from typing import Any, Dict, cast
import pandas as pd
import pytest
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.indices.query.schema import QueryBundle
from llama_index.legacy.indices.service_context impor... | llama_index/llama-index-legacy/tests/query_engine/test_pandas.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/query_engine/test_pandas.py",
"repo_id": "llama_index",
"token_count": 2378
} | 1,813 |
from chromadb.proto import chroma_pb2 as _chroma_pb2
from google.protobuf import empty_pb2 as _empty_pb2
from google.protobuf.internal import containers as _containers
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from typing import ClassVar as _ClassVar, Iterable... | chroma/chromadb/proto/coordinator_pb2.pyi/0 | {
"file_path": "chroma/chromadb/proto/coordinator_pb2.pyi",
"repo_id": "chroma",
"token_count": 3136
} | 18 |
/* eslint-disable no-promise-executor-return */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { jest, test } from "@jest/globals";
import {
AIMessage,
AIMessageChunk,
HumanMessage,
SystemMessage,
} from "../../messages/index.js";
import { RemoteRunnable } from "../remote.js";
import { ChatProm... | langchainjs/langchain-core/src/runnables/tests/runnable_remote.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable_remote.test.ts",
"repo_id": "langchainjs",
"token_count": 2734
} | 869 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/unispeech-sat.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/unispeech-sat.md",
"repo_id": "transformers",
"token_count": 1045
} | 495 |
from __future__ import annotations
import json
import re
from json import JSONDecodeError
from typing import Any, Callable, List, Optional, Type
import jsonpatch # type: ignore[import]
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers.format_instructions import JSON_FORM... | langchain/libs/core/langchain_core/output_parsers/json.py/0 | {
"file_path": "langchain/libs/core/langchain_core/output_parsers/json.py",
"repo_id": "langchain",
"token_count": 3270
} | 418 |
"""Summarization checker chain for verifying accuracy of text generation.
Chain that tries to verify the accuracy of text generation by splitting it into a
list of facts, then checking if those facts are true or not, and rewriting
the text to make it more truth-ful. It will repeat this loop until it hits `max_tries`
... | langchain/libs/langchain/langchain/chains/llm_summarization_checker/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/llm_summarization_checker/__init__.py",
"repo_id": "langchain",
"token_count": 87
} | 483 |
---
aFloat: 13.12345
anInt: 15
aBool: true
aString: string value
anArray:
- one
- two
- three
aDict:
dictId1: "58417"
dictId2: 1500
tags: ["onetag", "twotag"]
---
# Tags
()#notatag
#12345
#read
something #tagWithCases
- #tag-with-dash
#tag_with_underscore #tag/with/nesting
# Dataview
Here is some data ... | langchainjs/langchain/src/document_loaders/tests/example_data/obsidian/tags_and_frontmatter.md/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/example_data/obsidian/tags_and_frontmatter.md",
"repo_id": "langchainjs",
"token_count": 225
} | 907 |
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
import { ChatOpenAI } from "@langchain/openai";
import { JsonOutputFunctionsParser } from "langchain/output_parsers";
import { ChatPromptTemplate } from "@langchain/core/prompts";
const schema = z.object({
setup: z.string().describe("The ... | langchainjs/examples/src/prompts/json_structured_output_parser_streaming.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/json_structured_output_parser_streaming.ts",
"repo_id": "langchainjs",
"token_count": 1359
} | 816 |
import logging.config
from datetime import datetime
import os
import yaml
import config
cur_path = os.path.abspath(os.path.dirname(__file__))
LOG_CONFIG_PATH = cur_path + "/logging.yaml"
FILE_NAME = config.LOG_PATH + 'benchmark-{:%Y-%m-%d}.log'.format(datetime.now())
def setup_logging(config_path=LOG_CONFIG_PATH, de... | milvus/tests/benchmark/milvus_benchmark/logs/log.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/logs/log.py",
"repo_id": "milvus",
"token_count": 352
} | 2,077 |
// Code generated by command: go run l2.go -out l2_amd64.s -stubs l2_stub_amd64.go. DO NOT EDIT.
package asm
// squared l2 between x and y
func L2(x []float32, y []float32) float32
| milvus/pkg/util/distance/asm/l2_stub_amd64.go/0 | {
"file_path": "milvus/pkg/util/distance/asm/l2_stub_amd64.go",
"repo_id": "milvus",
"token_count": 72
} | 2,103 |
# coding=utf-8
# Copyright 2023 Microsoft Research 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/L... | transformers/src/transformers/models/kosmos2/modeling_kosmos2.py/0 | {
"file_path": "transformers/src/transformers/models/kosmos2/modeling_kosmos2.py",
"repo_id": "transformers",
"token_count": 41274
} | 676 |
// 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/query/PlanProto.cpp/0 | {
"file_path": "milvus/internal/core/src/query/PlanProto.cpp",
"repo_id": "milvus",
"token_count": 20528
} | 1,877 |
// 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/pkg/util/metric/metric_type.go/0 | {
"file_path": "milvus/pkg/util/metric/metric_type.go",
"repo_id": "milvus",
"token_count": 345
} | 2,115 |
# This is a Dockerfile for the Development Container
# Use the Python base image
ARG VARIANT="3.11-bullseye"
FROM mcr.microsoft.com/devcontainers/python:0-${VARIANT} AS langchain-dev-base
USER vscode
# Define the version of Poetry to install (default is 1.4.2)
# Define the directory of python virtual environment
ARG... | langchain/libs/langchain/dev.Dockerfile/0 | {
"file_path": "langchain/libs/langchain/dev.Dockerfile",
"repo_id": "langchain",
"token_count": 602
} | 476 |
<jupyter_start><jupyter_text>Passthrough informationAn example that shows how to pass through additional info with the request, and get it back with the response.<jupyter_code>from langchain.prompts.chat import ChatPromptTemplate
from langserve import RemoteRunnable
chain = RemoteRunnable("http://localhost:8000/v1/")<... | langserve/examples/passthrough_dict/client.ipynb/0 | {
"file_path": "langserve/examples/passthrough_dict/client.ipynb",
"repo_id": "langserve",
"token_count": 302
} | 1,060 |
"""Test optimization."""
from typing import Any, List
from unittest.mock import patch
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.postprocessor.optimizer import SentenceEmbeddingOptimizer
from llama_index.core.schema import NodeWithScore, QueryBundle, TextNode
def mo... | llama_index/llama-index-core/tests/postprocessor/test_optimizer.py/0 | {
"file_path": "llama_index/llama-index-core/tests/postprocessor/test_optimizer.py",
"repo_id": "llama_index",
"token_count": 2085
} | 1,323 |
from langchain_core.callbacks.manager import (
AsyncCallbackManager,
AsyncCallbackManagerForChainGroup,
AsyncCallbackManagerForChainRun,
AsyncCallbackManagerForLLMRun,
AsyncCallbackManagerForRetrieverRun,
AsyncCallbackManagerForToolRun,
AsyncParentRunManager,
AsyncRunManager,
BaseRun... | langchain/libs/langchain/langchain/schema/callbacks/manager.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/callbacks/manager.py",
"repo_id": "langchain",
"token_count": 557
} | 587 |
/**
* Checks if the provided argument is an object and not an array.
*/
// eslint-disable-next-line @typescript-eslint/no-explicit-any
export function isObject(obj: any): obj is object {
return obj && typeof obj === "object" && !Array.isArray(obj);
}
/**
* Checks if a provided filter is empty. The filter can be a... | langchainjs/langchain/src/retrievers/self_query/utils.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/self_query/utils.ts",
"repo_id": "langchainjs",
"token_count": 829
} | 931 |
# Sitemap Loader
This loader is an asynchronous web scraper that fetches the text from static websites by using its sitemap and optionally converting the HTML to text.
It is based on the [Async Website Loader](https://llama-hub-ui.vercel.app/l/web-async_web)
## Usage
To use this loader, you just declare the sitemap... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/sitemap/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/sitemap/README.md",
"repo_id": "llama_index",
"token_count": 592
} | 1,396 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::{Error as E, Result};
use clap::{Parser, ValueEnum};
use candle_transformers::models::mixformer::{Config, MixFormerSequentialForCausalLM as MixFormer};
use candle_transformers::models::phi::{Co... | candle/candle-examples/examples/phi/main.rs/0 | {
"file_path": "candle/candle-examples/examples/phi/main.rs",
"repo_id": "candle",
"token_count": 8133
} | 44 |
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import { ChatOpenAI } from "@langchain/openai";
import { Calculator } from "langchain/tools/calculator";
import { SerpAPI } from "@langchain/community/tools/serpapi";
export const run = async () => {
const model = new ChatOpenAI({ temperature: 0 ... | langchainjs/examples/src/agents/chat_mrkl.ts/0 | {
"file_path": "langchainjs/examples/src/agents/chat_mrkl.ts",
"repo_id": "langchainjs",
"token_count": 373
} | 766 |
from typing import Any, Dict, List, Optional, Tuple
from google.cloud.firestore_v1.async_client import AsyncClient
from google.cloud.firestore_v1.client import Client
from google.cloud.firestore_v1.services.firestore.transports.base import (
DEFAULT_CLIENT_INFO,
)
from llama_index.core.storage.kvstore.types import... | llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/llama_index/storage/kvstore/firestore/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/llama_index/storage/kvstore/firestore/base.py",
"repo_id": "llama_index",
"token_count": 3391
} | 1,555 |
import pickle as pkl
import unittest
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL.Image
from diffusers.utils.outputs import BaseOutput
from diffusers.utils.testing_utils import require_torch
@dataclass
class CustomOutput(BaseOutput):
images: Union[List[PIL.Image... | diffusers/tests/others/test_outputs.py/0 | {
"file_path": "diffusers/tests/others/test_outputs.py",
"repo_id": "diffusers",
"token_count": 1506
} | 267 |
# 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/mvp/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/mvp/__init__.py",
"repo_id": "transformers",
"token_count": 983
} | 705 |
<jupyter_start><jupyter_text>Vector Store Index usage examplesIn this guide, we show how to use the vector store index with different vector storeimplementations. From how to get started with few lines of code with the defaultin-memory vector store with default query configuration, to using a custom hosted vectorstor... | llama_index/docs/module_guides/indexing/vector_store_guide.ipynb/0 | {
"file_path": "llama_index/docs/module_guides/indexing/vector_store_guide.ipynb",
"repo_id": "llama_index",
"token_count": 1833
} | 1,226 |
from time import sleep
from pymilvus import connections, list_collections, utility
from chaos.checker import (CollectionCreateChecker, InsertFlushChecker,
SearchChecker, QueryChecker, IndexCreateChecker, Op)
from common.milvus_sys import MilvusSys
from utils.util_log import test_log as log
fr... | milvus/tests/python_client/loadbalance/test_auto_load_balance.py/0 | {
"file_path": "milvus/tests/python_client/loadbalance/test_auto_load_balance.py",
"repo_id": "milvus",
"token_count": 1930
} | 1,900 |
from langchain_community.document_loaders.joplin import JoplinLoader
def test_joplin_loader() -> None:
loader = JoplinLoader()
docs = loader.load()
assert isinstance(docs, list)
assert isinstance(docs[0].page_content, str)
assert isinstance(docs[0].metadata["source"], str)
assert isinstance(d... | langchain/libs/community/tests/integration_tests/document_loaders/test_joplin.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_joplin.py",
"repo_id": "langchain",
"token_count": 121
} | 355 |
<!---
Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/ko/model_memory_anatomy.md/0 | {
"file_path": "transformers/docs/source/ko/model_memory_anatomy.md",
"repo_id": "transformers",
"token_count": 8869
} | 527 |
# LlamaIndex Readers Integration: Json
| llama_index/llama-index-integrations/readers/llama-index-readers-json/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-json/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,323 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-zep/llama_index/readers/zep/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-zep/llama_index/readers/zep/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,442 |
<jupyter_start><jupyter_text>Building Data Ingestion from ScratchIn this tutorial, we show you how to build a data ingestion pipeline into a vector database.We use Pinecone as the vector database.We will show how to do the following:1. How to load in documents.2. How to use a text splitter to split documents.3. How to ... | llama_index/docs/examples/low_level/ingestion.ipynb/0 | {
"file_path": "llama_index/docs/examples/low_level/ingestion.ipynb",
"repo_id": "llama_index",
"token_count": 2494
} | 1,117 |
# coding=utf-8
# Copyright 2023 The Suno AI Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | transformers/src/transformers/models/bark/processing_bark.py/0 | {
"file_path": "transformers/src/transformers/models/bark/processing_bark.py",
"repo_id": "transformers",
"token_count": 6074
} | 605 |
import pytest
from langchain_community.document_loaders import UnstructuredURLLoader
def test_continue_on_failure_true() -> None:
"""Test exception is not raised when continue_on_failure=True."""
loader = UnstructuredURLLoader(["badurl.foobar"])
loader.load()
def test_continue_on_failure_false() -> Non... | langchain/libs/community/tests/integration_tests/document_loaders/test_url.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_url.py",
"repo_id": "langchain",
"token_count": 184
} | 327 |
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