text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_core.globals import get_debug, set_debug
def test_debug_is_settable_via_setter() -> None:
from langchain_core import globals
from langchain_core.callbacks.manager import _get_debug
previous_value = globals._debug
previous_fn_reading = _get_debug()
assert previous_value == previous_... | langchain/libs/core/tests/unit_tests/test_globals.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/test_globals.py",
"repo_id": "langchain",
"token_count": 375
} | 411 |
import { test } from "@jest/globals";
import { OpenAI } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import {
loadQAMapReduceChain,
loadQARefineChain,
loadQAStuffChain,
} from "../load.js";
test("Test loadQAStuffChain", async () => {
const model = new OpenAI({ modelName: "gpt... | langchainjs/langchain/src/chains/question_answering/tests/load.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/question_answering/tests/load.int.test.ts",
"repo_id": "langchainjs",
"token_count": 532
} | 865 |
# order by contributions
reviewers:
- sunby
- congqixia
- cydrain
approvers:
- maintainers
| milvus/internal/datacoord/OWNERS/0 | {
"file_path": "milvus/internal/datacoord/OWNERS",
"repo_id": "milvus",
"token_count": 39
} | 1,908 |
from typing import Generator, List
import pytest
from llama_index.legacy.schema import BaseNode, Document, TextNode
from llama_index.legacy.storage.docstore.dynamodb_docstore import (
DynamoDBDocumentStore,
)
from llama_index.legacy.storage.kvstore.dynamodb_kvstore import DynamoDBKVStore
from pytest import MonkeyP... | llama_index/llama-index-legacy/tests/storage/docstore/test_dynamodb_docstore.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/docstore/test_dynamodb_docstore.py",
"repo_id": "llama_index",
"token_count": 1491
} | 1,679 |
1
00:00:17,580 --> 00:00:21,920
<i>Corruption discovered
at the core of the Banking Clan!</i>
2
00:00:21,950 --> 00:00:24,620
<i>Reunited, Rush Clovis
and Senator Amidala</i>
3
00:00:24,660 --> 00:00:27,830
<i>discover the full extent
of the deception.</i>
4
00:00:27,870 --> 00:00:30,960
<i>Anakin Skywalker is sent... | langchainjs/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt",
"repo_id": "langchainjs",
"token_count": 8877
} | 905 |
"""Test AzureML Chat Endpoint wrapper."""
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from langchain_community.chat_models.azureml_endpoint import (
AzureMLChatOnlineEndpoint,
LlamaChatContentFormatter,
)
def test_llam... | langchain/libs/community/tests/integration_tests/chat_models/test_azureml_endpoint.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_azureml_endpoint.py",
"repo_id": "langchain",
"token_count": 678
} | 342 |
from llama_index.readers.database.base import DatabaseReader
__all__ = ["DatabaseReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/__init__.py",
"repo_id": "llama_index",
"token_count": 26
} | 1,390 |
export const CREATE_EVENT_PROMPT = `
Date format: YYYY-MM-DDThh:mm:ss+00:00
Based on this event description: "Joey birthday tomorrow at 7 pm",
output a json of the following parameters:
Today's datetime on UTC time 2023-05-02T10:00:00+00:00, it's Tuesday and timezone
of the user is -5, take into account the timezone o... | langchainjs/libs/langchain-community/src/tools/google_calendar/prompts/create-event-prompt.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_calendar/prompts/create-event-prompt.ts",
"repo_id": "langchainjs",
"token_count": 693
} | 971 |
"""Test the FileManagementToolkit."""
from tempfile import TemporaryDirectory
import pytest
from langchain_core.tools import BaseTool
from langchain_community.agent_toolkits.file_management.toolkit import (
FileManagementToolkit,
)
def test_file_toolkit_get_tools() -> None:
"""Test the get_tools method of ... | langchain/libs/community/tests/unit_tests/tools/file_management/test_toolkit.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/file_management/test_toolkit.py",
"repo_id": "langchain",
"token_count": 652
} | 413 |
# 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/tests/models/clap/test_modeling_clap.py/0 | {
"file_path": "transformers/tests/models/clap/test_modeling_clap.py",
"repo_id": "transformers",
"token_count": 13255
} | 752 |
"""Arxiv API toolkit."""
| langchain/libs/langchain/langchain/tools/arxiv/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/arxiv/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 554 |
# Scripts to Train and Evaluate Chat Models
## Fine-tuning
In the handbook, we provide three main ways to align LLMs for chat:
- Full fine-tuning on a multi-GPU machine with DeepSpeed ZeRO-3 (tested on an 8 x A100 (80GB) node).
- LoRA or QLoRA fine-tuning on a single consumer 24GB GPU (tested on an RTX 4090).
- LoR... | alignment-handbook/scripts/README.md/0 | {
"file_path": "alignment-handbook/scripts/README.md",
"repo_id": "alignment-handbook",
"token_count": 2926
} | 20 |
use candle::{DType, Device, IndexOp, Result, Tensor, D};
use candle_nn::{
embedding, linear_no_bias as linear, rms_norm, Embedding, Linear, Module, RmsNorm, VarBuilder,
};
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
#[derive(Debug, Clone)]
pub struct Config {
pub dim: usize, // transform... | candle/candle-wasm-examples/llama2-c/src/model.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/model.rs",
"repo_id": "candle",
"token_count": 5272
} | 82 |
"""Light weight unit test that attempts to import RedisStore.
The actual code is tested in integration tests.
This test is intended to catch errors in the import process.
"""
def test_import_storage() -> None:
"""Attempt to import storage modules."""
from langchain_community.storage.redis import RedisStore ... | langchain/libs/community/tests/unit_tests/storage/test_redis.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/storage/test_redis.py",
"repo_id": "langchain",
"token_count": 87
} | 412 |
from langchain_community.vectorstores.pgvecto_rs import PGVecto_rs
__all__ = ["PGVecto_rs"]
| langchain/libs/langchain/langchain/vectorstores/pgvecto_rs.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/pgvecto_rs.py",
"repo_id": "langchain",
"token_count": 37
} | 607 |
syntax = "proto3";
package milvus.proto.segcore;
option go_package = "github.com/milvus-io/milvus/internal/proto/segcorepb";
import "schema.proto";
import "common.proto";
message RetrieveResults {
schema.IDs ids = 1;
repeated int64 offset = 2;
repeated schema.FieldData fields_data = 3;
}
message LoadFieldMeta ... | milvus/internal/proto/segcore.proto/0 | {
"file_path": "milvus/internal/proto/segcore.proto",
"repo_id": "milvus",
"token_count": 346
} | 1,821 |
import { expect, test, describe } from "@jest/globals";
import { interpolateFString } from "../template.js";
describe.each([
["{foo}", { foo: "bar" }, "bar"],
["pre{foo}post", { foo: "bar" }, "prebarpost"],
["{{pre{foo}post}}", { foo: "bar" }, "{prebarpost}"],
["text", {}, "text"],
["}}{{", {}, "}{"],
["{f... | langchainjs/langchain-core/src/prompts/tests/template.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/tests/template.test.ts",
"repo_id": "langchainjs",
"token_count": 309
} | 901 |
<jupyter_start><jupyter_text>Multi-Modal LLM using Replicate LlaVa, Fuyu 8B, MiniGPT4 models for image reasoningIn this notebook, we show how to use MultiModal LLM class for image understanding/reasoning.We now support:* [LLava-13B](https://github.com/haotian-liu/LLaVA)* [Fuyu-8B](https://www.adept.ai/blog/fuyu-8b)* [M... | llama_index/docs/examples/multi_modal/replicate_multi_modal.ipynb/0 | {
"file_path": "llama_index/docs/examples/multi_modal/replicate_multi_modal.ipynb",
"repo_id": "llama_index",
"token_count": 16976
} | 1,151 |
from typing import TYPE_CHECKING
import pytest
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
from pytest_mock import MockerFixture
from langchain_community.chat_message_histories import ZepChatMessageHistory
if TYPE_CHECKING:
from zep_python import ZepClient
@pytest.fixture
@pytest... | langchain/libs/community/tests/integration_tests/chat_message_histories/test_zep.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_message_histories/test_zep.py",
"repo_id": "langchain",
"token_count": 1102
} | 323 |
# MangoppsGuides Loader
This loader fetches the text from Mangopps Guides.
## Usage
To use this loader, you need to pass base url of the MangoppsGuides installation (e.g. `https://guides.mangoapps.com/`) and the limit , i.e. max number of links it should crawl
```python
from llama_index import download_loader
Mang... | llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/README.md",
"repo_id": "llama_index",
"token_count": 271
} | 1,395 |
// 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/accesslog/writer_test.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/writer_test.go",
"repo_id": "milvus",
"token_count": 2458
} | 1,842 |
import { PromptTemplate } from "@langchain/core/prompts";
import { LLMChain, LLMChainInput } from "../../chains/llm_chain.js";
/** Chain to generate tasks. */
export class TaskCreationChain extends LLMChain {
static lc_name() {
return "TaskCreationChain";
}
/**
* Creates a new TaskCreationChain instance.... | langchainjs/langchain/src/experimental/babyagi/task_creation.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/babyagi/task_creation.ts",
"repo_id": "langchainjs",
"token_count": 555
} | 957 |
from langchain_core.output_parsers import __all__
EXPECTED_ALL = [
"BaseLLMOutputParser",
"BaseGenerationOutputParser",
"BaseOutputParser",
"ListOutputParser",
"CommaSeparatedListOutputParser",
"NumberedListOutputParser",
"MarkdownListOutputParser",
"StrOutputParser",
"BaseTransform... | langchain/libs/core/tests/unit_tests/output_parsers/test_imports.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/output_parsers/test_imports.py",
"repo_id": "langchain",
"token_count": 199
} | 427 |
import sys
import types
from typing import Any, Mapping
from unittest import mock
import pytest
from llama_index.legacy.llms.base import CompletionResponse
from llama_index.legacy.llms.gemini import Gemini
class FakeGoogleDataclass(types.SimpleNamespace):
"""Emulate the dataclasses used in the genai package."""
... | llama_index/llama-index-legacy/tests/llms/test_gemini.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llms/test_gemini.py",
"repo_id": "llama_index",
"token_count": 1159
} | 1,640 |
"""Test OpenAI Chat API wrapper."""
import json
from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from langchain_core.messages import (
AIMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
from langchain_openai import ChatOpenAI
from langchain_openai.chat_models.bas... | langchain/libs/partners/openai/tests/unit_tests/chat_models/test_base.py/0 | {
"file_path": "langchain/libs/partners/openai/tests/unit_tests/chat_models/test_base.py",
"repo_id": "langchain",
"token_count": 1513
} | 695 |
reviewers:
- congqixia
- jiaoew1991
- sunby
- weiliu1031
- yah01
approvers:
- maintainers
| milvus/internal/querycoordv2/params/OWNERS/0 | {
"file_path": "milvus/internal/querycoordv2/params/OWNERS",
"repo_id": "milvus",
"token_count": 48
} | 2,035 |
[
{
"server": "apollo",
"suite_params": [
{
"suite": "011_cpu_accuracy_ann.yaml",
"image_type": "cpu"
}
]
}
] | milvus/tests/benchmark/milvus_benchmark/scheduler/011_data_acc_debug.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/011_data_acc_debug.json",
"repo_id": "milvus",
"token_count": 133
} | 2,081 |
from langchain_community.tools.gmail.get_message import (
GmailGetMessage,
SearchArgsSchema,
)
__all__ = ["SearchArgsSchema", "GmailGetMessage"]
| langchain/libs/langchain/langchain/tools/gmail/get_message.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/gmail/get_message.py",
"repo_id": "langchain",
"token_count": 53
} | 601 |
// 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/common.h/0 | {
"file_path": "milvus/internal/core/src/simd/common.h",
"repo_id": "milvus",
"token_count": 799
} | 1,939 |
metrics:
serviceMonitor:
enabled: true
kafka:
metrics:
kafka:
enabled: true
jmx:
enabled: true
serviceMonitor:
enabled: true | milvus/tests/scripts/values/ci/nightly.yaml/0 | {
"file_path": "milvus/tests/scripts/values/ci/nightly.yaml",
"repo_id": "milvus",
"token_count": 74
} | 1,980 |
import datetime
import json
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
def concatenate_rows(message: dict, title: str) -> str:
"""
Combine message information in a readable format ready to be used.
Args:
... | langchain/libs/community/langchain_community/document_loaders/chatgpt.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/chatgpt.py",
"repo_id": "langchain",
"token_count": 914
} | 252 |
import { test } from "@jest/globals";
import { ChatYandexGPT } from "../chat_models.js";
test("Test YandexGPT generation", async () => {
const model = new ChatYandexGPT({});
const res = await model?.generate([
[["human", `Translate "I love programming" into Korean.`]],
]);
expect(res).toBeTruthy();
});
| langchainjs/libs/langchain-yandex/src/tests/chat_models.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-yandex/src/tests/chat_models.int.test.ts",
"repo_id": "langchainjs",
"token_count": 114
} | 1,025 |
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_core.outputs import LLMResult
from langchain.callbacks.streaming_aiter import AsyncIteratorCallbackHandler
DEFAULT_ANSWER_PREFIX_TOKENS = ["Final", "Answer", ":"]
class AsyncFinalIteratorCallbackHandler(AsyncIteratorCal... | langchain/libs/langchain/langchain/callbacks/streaming_aiter_final_only.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/streaming_aiter_final_only.py",
"repo_id": "langchain",
"token_count": 1501
} | 458 |
// 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/cluster/manager.go/0 | {
"file_path": "milvus/internal/querynodev2/cluster/manager.go",
"repo_id": "milvus",
"token_count": 816
} | 1,767 |
import re
from typing import Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain.agents.agent import AgentOutputParser
from langchain.agents.conversational.prompt import FORMAT_INSTRUCTIONS
class ConvoOutputParser(AgentOutputPar... | langchain/libs/langchain/langchain/agents/conversational/output_parser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/conversational/output_parser.py",
"repo_id": "langchain",
"token_count": 516
} | 485 |
import * as url from "node:url";
import * as path from "node:path";
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { JSONLinesLoader } from "../fs/json.js";
test("Test JSON loader from file", async () => {
const filePath = path.resolve(
path.dirname(url... | langchainjs/langchain/src/document_loaders/tests/jsonl.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/jsonl.test.ts",
"repo_id": "langchainjs",
"token_count": 280
} | 880 |
<jupyter_start><jupyter_text>Stream custom generator functionsYou can use generator functions (ie. functions that use the `yield` keyword, and behave like iterators) in a LCEL pipeline.The signature of these generators should be `Iterator[Input] -> Iterator[Output]`. Or for async generators: `AsyncIterator[Input] -> As... | langchain/docs/docs/expression_language/how_to/generators.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/how_to/generators.ipynb",
"repo_id": "langchain",
"token_count": 971
} | 88 |
"""Wrapper around Elasticsearch vector database."""
from __future__ import annotations
import uuid
from typing import Any, Iterable, List
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class Elast... | langchain/libs/community/langchain_community/retrievers/elastic_search_bm25.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/elastic_search_bm25.py",
"repo_id": "langchain",
"token_count": 1953
} | 290 |
<jupyter_start><jupyter_text>Pydantic parserThis output parser allows users to specify an arbitrary Pydantic Model and query LLMs for outputs that conform to that schema.Keep in mind that large language models are leaky abstractions! You'll have to use an LLM with sufficient capacity to generate well-formed JSON. In th... | langchain/docs/docs/modules/model_io/output_parsers/types/pydantic.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/pydantic.ipynb",
"repo_id": "langchain",
"token_count": 791
} | 208 |
"""Trello reader."""
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class TrelloReader(BaseReader):
"""Trello reader. Reads data from Trello boards and cards.
Args:
api_key (str): Trello API key.
api_token (str): Trel... | llama_index/llama-index-integrations/readers/llama-index-readers-trello/llama_index/readers/trello/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-trello/llama_index/readers/trello/base.py",
"repo_id": "llama_index",
"token_count": 684
} | 1,560 |
// 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/meta/leader_view_manager.go/0 | {
"file_path": "milvus/internal/querycoordv2/meta/leader_view_manager.go",
"repo_id": "milvus",
"token_count": 2583
} | 1,831 |
import streamlit as st
# A hack to "clear" the previous result when submitting a new prompt. This avoids
# the "previous run's text is grayed-out but visible during rerun" Streamlit behavior.
class DirtyState:
NOT_DIRTY = "NOT_DIRTY"
DIRTY = "DIRTY"
UNHANDLED_SUBMIT = "UNHANDLED_SUBMIT"
def get_dirty_st... | streamlit-agent/streamlit_agent/clear_results.py/0 | {
"file_path": "streamlit-agent/streamlit_agent/clear_results.py",
"repo_id": "streamlit-agent",
"token_count": 379
} | 2,026 |
# LangSmith in Pytest
[](https://github.com/langchain-ai/langsmith-cookbook/tree/main/./testing-examples/pytest/README.md)
This tutorial shows how to integrate LangSmith within your pytest test suite. You can test _a lot_ of functionality ... | langsmith-cookbook/testing-examples/pytest/README.md/0 | {
"file_path": "langsmith-cookbook/testing-examples/pytest/README.md",
"repo_id": "langsmith-cookbook",
"token_count": 2743
} | 1,073 |
#!/usr/bin/env python
# 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.
... | transformers/examples/pytorch/text-classification/run_xnli.py/0 | {
"file_path": "transformers/examples/pytorch/text-classification/run_xnli.py",
"repo_id": "transformers",
"token_count": 7663
} | 527 |
<script lang="ts">
import CarbonEarth from "~icons/carbon/earth";
import CarbonArrowUpRight from "~icons/carbon/arrow-up-right";
import type { Model } from "$lib/types/Model";
export let model: Pick<Model, "name" | "datasetName" | "websiteUrl" | "modelUrl" | "datasetUrl">;
export let variant: "light" | "dark" = ... | chat-ui/src/lib/components/ModelCardMetadata.svelte/0 | {
"file_path": "chat-ui/src/lib/components/ModelCardMetadata.svelte",
"repo_id": "chat-ui",
"token_count": 623
} | 93 |
def test_mock() -> None:
assert True
| langchain/libs/experimental/tests/unit_tests/test_mock.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/test_mock.py",
"repo_id": "langchain",
"token_count": 16
} | 433 |
import * as fs from "fs";
const langchainPackageJson = JSON.parse(fs.readFileSync("../langchain/package.json"));
const testPackageJson = JSON.parse(fs.readFileSync("./package.json"));
testPackageJson.dependencies = { ...testPackageJson.dependencies, ...langchainPackageJson.dependencies };
fs.writeFileSync("./package... | langchainjs/environment_tests/test-exports-bun/scripts/combine-dependencies.js/0 | {
"file_path": "langchainjs/environment_tests/test-exports-bun/scripts/combine-dependencies.js",
"repo_id": "langchainjs",
"token_count": 118
} | 747 |
package indexnode
import (
"context"
"time"
"github.com/golang/protobuf/proto"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus/internal/proto/indexpb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/log"
)
func (i *IndexNode) lo... | milvus/internal/indexnode/taskinfo_ops.go/0 | {
"file_path": "milvus/internal/indexnode/taskinfo_ops.go",
"repo_id": "milvus",
"token_count": 1736
} | 1,991 |
# 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/utils/check_build.py/0 | {
"file_path": "transformers/utils/check_build.py",
"repo_id": "transformers",
"token_count": 616
} | 797 |
"""Test cohere embeddings."""
from langchain_community.embeddings.cohere import CohereEmbeddings
def test_cohere_embedding_documents() -> None:
"""Test cohere embeddings."""
documents = ["foo bar"]
embedding = CohereEmbeddings()
output = embedding.embed_documents(documents)
assert len(output) == 1... | langchain/libs/community/tests/integration_tests/embeddings/test_cohere.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_cohere.py",
"repo_id": "langchain",
"token_count": 201
} | 347 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/vercel_postgres",
});
export * from "@langchain/community/vectorstores/vercel_postgres";
| langchainjs/langchain/src/vectorstores/vercel_postgres.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/vercel_postgres.ts",
"repo_id": "langchainjs",
"token_count": 78
} | 967 |
// 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/distributed/rootcoord/client/client_test.go/0 | {
"file_path": "milvus/internal/distributed/rootcoord/client/client_test.go",
"repo_id": "milvus",
"token_count": 4730
} | 1,818 |
package tasks
import (
"fmt"
"sync"
"go.uber.org/atomic"
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/querynodev2/collector"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/metrics"
"github.com/milvus-io/milvus/pkg/util/conc"
"github.com/milvus-io/milvus/pkg/util/lifetime"
... | milvus/internal/querynodev2/tasks/concurrent_safe_scheduler.go/0 | {
"file_path": "milvus/internal/querynodev2/tasks/concurrent_safe_scheduler.go",
"repo_id": "milvus",
"token_count": 3195
} | 1,773 |
# Simple Milvus systemd service file
#
# systemd supports lots of fancy features, look here (and linked docs) for a full list:
# http://www.freedesktop.org/software/systemd/man/systemd.exec.html
#
# Note: this file ( /usr/lib/systemd/system/milvus-minio.service )
# will be overwritten on package upgrade, please copy ... | milvus/build/rpm/services/milvus-minio.service/0 | {
"file_path": "milvus/build/rpm/services/milvus-minio.service",
"repo_id": "milvus",
"token_count": 283
} | 1,749 |
from langchain_community.chat_models.anthropic import (
ChatAnthropic,
convert_messages_to_prompt_anthropic,
)
__all__ = [
"convert_messages_to_prompt_anthropic",
"ChatAnthropic",
]
| langchain/libs/langchain/langchain/chat_models/anthropic.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/anthropic.py",
"repo_id": "langchain",
"token_count": 81
} | 472 |
mod common;
use common::*;
use tokenizers::decoders::byte_level::ByteLevel;
use tokenizers::decoders::DecoderWrapper;
use tokenizers::models::bpe::BPE;
use tokenizers::models::wordlevel::WordLevel;
use tokenizers::models::wordpiece::WordPiece;
use tokenizers::models::ModelWrapper;
use tokenizers::normalizers::bert::Be... | tokenizers/tokenizers/tests/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/tests/serialization.rs",
"repo_id": "tokenizers",
"token_count": 3683
} | 465 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-waii/llama_index/tools/waii/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-waii/llama_index/tools/waii/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,501 |
import math
from types import MethodType
from typing import Any, Dict, List, Optional, Tuple, Union
from .state import PartialState
from .utils import (
calculate_maximum_sizes,
convert_bytes,
copy_tensor_to_devices,
ignorant_find_batch_size,
infer_auto_device_map,
is_pippy_available,
pad_i... | accelerate/src/accelerate/inference.py/0 | {
"file_path": "accelerate/src/accelerate/inference.py",
"repo_id": "accelerate",
"token_count": 2835
} | 12 |
from llama_index.packs.resume_screener.base import ResumeScreenerPack
__all__ = ["ResumeScreenerPack"]
| llama_index/llama-index-packs/llama-index-packs-resume-screener/llama_index/packs/resume_screener/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-resume-screener/llama_index/packs/resume_screener/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,682 |
apiVersion: v1
kind: PersistentVolume
metadata:
name: huggingface-cluster-disk
spec:
storageClassName: ""
capacity:
storage: 500Gi
accessModes:
- ReadOnlyMany
claimRef:
namespace: default
name: huggingface-cluster-disk-claim
gcePersistentDisk:
pdName: huggingface-cluster-disk
fsType:... | transformers/docker/transformers-pytorch-tpu/dataset.yaml/0 | {
"file_path": "transformers/docker/transformers-pytorch-tpu/dataset.yaml",
"repo_id": "transformers",
"token_count": 274
} | 468 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/latent_diffusion/test_latent_diffusion_superresolution.py/0 | {
"file_path": "diffusers/tests/pipelines/latent_diffusion/test_latent_diffusion_superresolution.py",
"repo_id": "diffusers",
"token_count": 2045
} | 265 |
# 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/ernie/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/ernie/__init__.py",
"repo_id": "transformers",
"token_count": 927
} | 683 |
from langchain_openai.embeddings import __all__
EXPECTED_ALL = ["OpenAIEmbeddings", "AzureOpenAIEmbeddings"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/openai/tests/unit_tests/embeddings/test_imports.py/0 | {
"file_path": "langchain/libs/partners/openai/tests/unit_tests/embeddings/test_imports.py",
"repo_id": "langchain",
"token_count": 74
} | 637 |
from langchain_community.chat_loaders.imessage import IMessageChatLoader
__all__ = ["IMessageChatLoader"]
| langchain/libs/langchain/langchain/chat_loaders/imessage.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_loaders/imessage.py",
"repo_id": "langchain",
"token_count": 31
} | 477 |
// 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/rootcoord_mock_test.go/0 | {
"file_path": "milvus/internal/proxy/rootcoord_mock_test.go",
"repo_id": "milvus",
"token_count": 16189
} | 1,965 |
import logging
from milvus_benchmark.env.base import BaseEnv
logger = logging.getLogger("milvus_benchmark.env.local")
class LocalEnv(BaseEnv):
"""docker env class wrapper"""
""" The current method of using the deployed Kubernetes environment to call """
env_mode = "local"
def __init__(self, deploy_m... | milvus/tests/benchmark/milvus_benchmark/env/local.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/env/local.py",
"repo_id": "milvus",
"token_count": 272
} | 2,133 |
"""Example selector that selects examples based on SemanticSimilarity."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Type
from langchain_core.example_selectors.base import BaseExampleSelector
from langchain_core.pydantic_v1 import BaseModel, Extra
from langchain_co... | langchain/libs/core/langchain_core/example_selectors/semantic_similarity.py/0 | {
"file_path": "langchain/libs/core/langchain_core/example_selectors/semantic_similarity.py",
"repo_id": "langchain",
"token_count": 2964
} | 415 |
import { PromptTemplate } from "@langchain/core/prompts";
import { StringOutputParser } from "@langchain/core/output_parsers";
import { RunnableSequence } from "@langchain/core/runnables";
import { ChatAnthropic } from "@langchain/anthropic";
const promptTemplate =
PromptTemplate.fromTemplate(`Given the user questio... | langchainjs/examples/src/guides/expression_language/how_to_routing_custom_function.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/how_to_routing_custom_function.ts",
"repo_id": "langchainjs",
"token_count": 1534
} | 778 |
Sub Question Query Engine
==========================
.. automodule:: llama_index.core.query_engine.sub_question_query_engine
:members:
:inherited-members:
| llama_index/docs/api_reference/query/query_engines/sub_question_query_engine.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/query_engines/sub_question_query_engine.rst",
"repo_id": "llama_index",
"token_count": 50
} | 1,039 |
package paramtable
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestHTTPConfig_Init(t *testing.T) {
params := ComponentParam{}
params.Init(NewBaseTable(SkipRemote(true)))
cfg := ¶ms.HTTPCfg
assert.Equal(t, cfg.Enabled.GetAsBool(), true)
assert.Equal(t, cfg.DebugMode.GetAsBool(), false)
... | milvus/pkg/util/paramtable/http_param_test.go/0 | {
"file_path": "milvus/pkg/util/paramtable/http_param_test.go",
"repo_id": "milvus",
"token_count": 192
} | 1,946 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,222 |
"""Module contains logic for parsing binary blobs into text."""
from langchain.document_loaders.parsers import BS4HTMLParser, PDFMinerParser
from langchain.document_loaders.parsers.generic import MimeTypeBasedParser
from langchain.document_loaders.parsers.msword import MsWordParser
from langchain.document_loaders.parse... | opengpts/backend/app/parsing.py/0 | {
"file_path": "opengpts/backend/app/parsing.py",
"repo_id": "opengpts",
"token_count": 273
} | 1,919 |
# Motörhead
>[Motörhead](https://github.com/getmetal/motorhead) is a memory server implemented in Rust. It automatically handles incremental summarization in the background and allows for stateless applications.
## Installation and Setup
See instructions at [Motörhead](https://github.com/getmetal/motorhead) for runn... | langchain/docs/docs/integrations/providers/motorhead.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/motorhead.mdx",
"repo_id": "langchain",
"token_count": 128
} | 142 |
# Metric Card for BERT Score
## Metric description
BERTScore is an automatic evaluation metric for text generation that computes a similarity score for each token in the candidate sentence with each token in the reference sentence. It leverages the pre-trained contextual embeddings from [BERT](https://huggingface.co/... | datasets/metrics/bertscore/README.md/0 | {
"file_path": "datasets/metrics/bertscore/README.md",
"repo_id": "datasets",
"token_count": 1908
} | 136 |
from langchain_core.callbacks.manager import CallbackManager
from langchain_core.callbacks.stdout import StdOutCallbackHandler
from langchain_core.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain_core.runnables.config import RunnableConfig, merge_configs
from langchain_core.tracers.stdout... | langchain/libs/core/tests/unit_tests/runnables/test_config.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/runnables/test_config.py",
"repo_id": "langchain",
"token_count": 469
} | 430 |
"""Download tool from Llama Index. Deprecated."""
import json
import os
from typing import Optional, Type
from deprecated import deprecated
from llama_index.core.download.integration import download_integration
from llama_index.core.tools.tool_spec.base import BaseToolSpec
@deprecated(
"`download_tool()` is de... | llama_index/llama-index-core/llama_index/core/tools/download.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/tools/download.py",
"repo_id": "llama_index",
"token_count": 731
} | 1,252 |
<jupyter_start><jupyter_text>Clarifai>[Clarifai](https://www.clarifai.com/) is an AI Platform that provides the full AI lifecycle ranging from data exploration, data labeling, model training, evaluation, and inference.This example goes over how to use LangChain to interact with `Clarifai` [models](https://clarifai.com/... | langchain/docs/docs/integrations/llms/clarifai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/clarifai.ipynb",
"repo_id": "langchain",
"token_count": 1301
} | 125 |
""" Dataset Factory
Hacked together by / Copyright 2021, Ross Wightman
"""
import os
from typing import Optional
from torchvision.datasets import CIFAR100, CIFAR10, MNIST, KMNIST, FashionMNIST, ImageFolder
try:
from torchvision.datasets import Places365
has_places365 = True
except ImportError:
has_places3... | pytorch-image-models/timm/data/dataset_factory.py/0 | {
"file_path": "pytorch-image-models/timm/data/dataset_factory.py",
"repo_id": "pytorch-image-models",
"token_count": 3864
} | 382 |
"""Module definitions of agent types together with corresponding agents."""
from enum import Enum
from langchain_core._api import deprecated
@deprecated(
"0.1.0",
alternative=(
"Use new agent constructor methods like create_react_agent, create_json_agent, "
"create_structured_chat_agent, etc.... | langchain/libs/langchain/langchain/agents/agent_types.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_types.py",
"repo_id": "langchain",
"token_count": 647
} | 471 |
<jupyter_start><jupyter_text>Ensemble RetrieverThe `EnsembleRetriever` takes a list of retrievers as input and ensemble the results of their `get_relevant_documents()` methods and rerank the results based on the [Reciprocal Rank Fusion](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) algorithm.By leveraging ... | langchain/docs/docs/modules/data_connection/retrievers/ensemble.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/retrievers/ensemble.ipynb",
"repo_id": "langchain",
"token_count": 855
} | 207 |
# Integrating with LangServe
[LangServe](https://python.langchain.com/docs/langserve) is a Python framework that helps developers deploy LangChain [runnables and chains](/docs/expression_language/)
as REST APIs.
If you have a deployed LangServe route, you can use the [RemoteRunnable](https://api.js.langchain.com/clas... | langchainjs/docs/core_docs/docs/ecosystem/langserve.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/ecosystem/langserve.mdx",
"repo_id": "langchainjs",
"token_count": 442
} | 693 |
from langchain_community.tools.github.tool import GitHubAction
__all__ = ["GitHubAction"]
| langchain/libs/langchain/langchain/tools/github/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/github/tool.py",
"repo_id": "langchain",
"token_count": 27
} | 577 |
[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 = ["InferRetrieveRerankPack"]
contains_example = false
import_path = "llama_index.packs.infer... | llama_index/llama-index-packs/llama-index-packs-infer-retrieve-rerank/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-infer-retrieve-rerank/pyproject.toml",
"repo_id": "llama_index",
"token_count": 750
} | 1,656 |
""" NasNet-A (Large)
nasnetalarge implementation grabbed from Cadene's pretrained models
https://github.com/Cadene/pretrained-models.pytorch
"""
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.layers import ConvNormAct, create_conv2d, create_pool2d, create_... | pytorch-image-models/timm/models/nasnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/nasnet.py",
"repo_id": "pytorch-image-models",
"token_count": 13247
} | 375 |
# LlamaIndex Embeddings Integration: Clarifai
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,222 |
<!--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/ko/perplexity.md/0 | {
"file_path": "transformers/docs/source/ko/perplexity.md",
"repo_id": "transformers",
"token_count": 6263
} | 543 |
import base64
import hashlib
import hmac
import json
import logging
import time
from typing import Any, Dict, Iterator, List, Mapping, Optional, Type
from urllib.parse import urlparse
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.chat_models import (
... | langchain/libs/community/langchain_community/chat_models/hunyuan.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/hunyuan.py",
"repo_id": "langchain",
"token_count": 4660
} | 226 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Soft prompts
Training large pretrained language models is very time-consuming and compute-intensive. As they continue to grow in size, there is in... | peft/docs/source/conceptual_guides/prompting.md/0 | {
"file_path": "peft/docs/source/conceptual_guides/prompting.md",
"repo_id": "peft",
"token_count": 1830
} | 305 |
<script lang="ts">
export let classNames = "";
</script>
<svg
xmlns="http://www.w3.org/2000/svg"
width="1em"
height="1em"
class={classNames}
fill="none"
viewBox="0 0 26 23"
>
<path
fill="url(#a)"
d="M.93 10.65A10.17 10.17 0 0 1 11.11.48h4.67a9.45 9.45 0 0 1 0 18.89H4.53L1.62 22.2a.38.38 0 0 1-.69-.28V10.65... | chat-ui/src/lib/components/icons/IconDazzled.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconDazzled.svelte",
"repo_id": "chat-ui",
"token_count": 916
} | 96 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-azure-openai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-azure-openai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,215 |
"""General node utils."""
import logging
import uuid
from typing import List, Optional, Protocol, runtime_checkable
from llama_index.core.schema import (
BaseNode,
Document,
ImageDocument,
ImageNode,
NodeRelationship,
TextNode,
)
from llama_index.core.utils import truncate_text
logger = logg... | llama_index/llama-index-core/llama_index/core/node_parser/node_utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/node_utils.py",
"repo_id": "llama_index",
"token_count": 1564
} | 1,201 |
import os
import tempfile
import streamlit as st
from langchain.chat_models import ChatOpenAI
from langchain.document_loaders import PyPDFLoader
from langchain.memory import ConversationBufferMemory
from langchain.memory.chat_message_histories import StreamlitChatMessageHistory
from langchain.embeddings import HuggingF... | streamlit-agent/streamlit_agent/chat_with_documents.py/0 | {
"file_path": "streamlit-agent/streamlit_agent/chat_with_documents.py",
"repo_id": "streamlit-agent",
"token_count": 1650
} | 2,145 |
from langchain_community.chat_message_histories.firestore import (
FirestoreChatMessageHistory,
)
__all__ = ["FirestoreChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/firestore.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/firestore.py",
"repo_id": "langchain",
"token_count": 43
} | 547 |
from dataclasses import dataclass
from typing import Optional
from candle.nn import Module, Embedding, LayerNorm, Linear, ModuleList
from candle import Tensor
import candle
import candle.functional as F
from typing import Tuple, Optional
@dataclass
class Config:
vocab_size: int = 30522
hidden_size: int = 768
... | candle/candle-pyo3/py_src/candle/models/bert.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/models/bert.py",
"repo_id": "candle",
"token_count": 3528
} | 67 |
"""Google's Gemini multi-modal models."""
import os
import typing
from typing import Any, 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_NUM_OUTPUTS, DEFAULT_TEMPERATUR... | llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/gemini.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/gemini.py",
"repo_id": "llama_index",
"token_count": 4436
} | 1,741 |
// Empty
| langchainjs/libs/langchain-community/src/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/index.ts",
"repo_id": "langchainjs",
"token_count": 3
} | 943 |
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langchain_community.llms.stochasticai import StochasticAI
def test_api_key_is_string() -> None:
llm = StochasticAI(stochasticai_api_key="secret-api-key")
assert isinstance(llm.stochasticai_api_key, SecretStr)
def test_a... | langchain/libs/community/tests/unit_tests/llms/test_stochasticai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_stochasticai.py",
"repo_id": "langchain",
"token_count": 229
} | 420 |
# Copyright 2023-present 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 law or... | peft/tests/testing_utils.py/0 | {
"file_path": "peft/tests/testing_utils.py",
"repo_id": "peft",
"token_count": 1134
} | 331 |
# coding=utf-8
# Copyright 2021 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/tests/models/wav2vec2/test_modeling_tf_wav2vec2.py/0 | {
"file_path": "transformers/tests/models/wav2vec2/test_modeling_tf_wav2vec2.py",
"repo_id": "transformers",
"token_count": 17501
} | 823 |
kind: NetworkChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-indexnode-network-latency
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: indexnode
mode: all
action: delay
delay:
... | milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_indexnode_network_latency.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_indexnode_network_latency.yaml",
"repo_id": "milvus",
"token_count": 226
} | 2,165 |
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