text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
/* eslint-disable @typescript-eslint/no-explicit-any, no-new, @typescript-eslint/no-misused-promises */
import { expect, jest, test } from "@jest/globals";
import {
DocumentCollection,
IDocument,
NotFoundError,
ZepClient,
} from "@getzep/zep-js";
import type { EmbeddingsInterface } from "@langchain/core/embed... | langchainjs/libs/langchain-community/src/vectorstores/tests/zep.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/zep.test.ts",
"repo_id": "langchainjs",
"token_count": 3357
} | 1,023 |
import { Chroma } from "@langchain/community/vectorstores/chroma";
import { Comparators, Operators } from "../../chains/query_constructor/ir.js";
import { BasicTranslator } from "./base.js";
/**
* Specialized translator for the Chroma vector database. It extends the
* BasicTranslator class and translates internal qu... | langchainjs/langchain/src/retrievers/self_query/chroma.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/self_query/chroma.ts",
"repo_id": "langchainjs",
"token_count": 426
} | 917 |
# coding=utf-8
# Copyright 2022 The Fairseq 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/opt/modeling_opt.py/0 | {
"file_path": "transformers/src/transformers/models/opt/modeling_opt.py",
"repo_id": "transformers",
"token_count": 29787
} | 650 |
from typing import Dict
# Text Generation Inference Errors
class ValidationError(Exception):
def __init__(self, message: str):
super().__init__(message)
class GenerationError(Exception):
def __init__(self, message: str):
super().__init__(message)
class OverloadedError(Exception):
def _... | text-generation-inference/clients/python/text_generation/errors.py/0 | {
"file_path": "text-generation-inference/clients/python/text_generation/errors.py",
"repo_id": "text-generation-inference",
"token_count": 1080
} | 415 |
#!/usr/bin/env python
import argparse
import os
import sys
from unittest.mock import patch
import pytorch_lightning as pl
import timeout_decorator
import torch
from distillation import SummarizationDistiller, distill_main
from finetune import SummarizationModule, main
from transformers import MarianMTModel
from tran... | transformers/examples/research_projects/seq2seq-distillation/_test_bash_script.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/_test_bash_script.py",
"repo_id": "transformers",
"token_count": 3934
} | 536 |
import json
import operator
from typing import Annotated, Sequence, TypedDict
from langchain_core.agents import AgentAction
from langchain_core.messages import BaseMessage, FunctionMessage
from langchain_core.runnables import RunnableLambda
from langchain_core.utils.function_calling import convert_to_openai_function
... | langgraph/langgraph/prebuilt/chat_agent_executor.py/0 | {
"file_path": "langgraph/langgraph/prebuilt/chat_agent_executor.py",
"repo_id": "langgraph",
"token_count": 1831
} | 1,019 |
# LlamaIndex Llms Integration: Palm
| llama_index/llama-index-integrations/llms/llama-index-llms-palm/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-palm/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,312 |
# -*- coding: utf-8 -*-
import time
import logging
import string
import random
import requests
import json
import os
from yaml.representer import SafeRepresenter
# from yaml import full_load, dump
import yaml
import tableprint as tp
import config
logger = logging.getLogger("milvus_benchmark.utils")
def timestr_to_in... | milvus/tests/benchmark/milvus_benchmark/utils.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/utils.py",
"repo_id": "milvus",
"token_count": 5284
} | 2,156 |
from llama_index.core.ingestion.cache import IngestionCache
from llama_index.core.ingestion.pipeline import (
DocstoreStrategy,
IngestionPipeline,
arun_transformations,
run_transformations,
)
__all__ = [
"DocstoreStrategy",
"IngestionCache",
"IngestionPipeline",
"run_transformations",
... | llama_index/llama-index-core/llama_index/core/ingestion/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/ingestion/__init__.py",
"repo_id": "llama_index",
"token_count": 140
} | 1,128 |
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.core.base.llms.types import ChatMessage, LLMMetadata
from llama_index.core.callbacks import CallbackManager
from llama_index.core.constants import DEFAULT_NUM_OUTPUTS, DEFAULT_TEMPERATURE
from llama_index.core.llms.generic_utils import get_fro... | llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/llama_index/llms/anyscale/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/llama_index/llms/anyscale/base.py",
"repo_id": "llama_index",
"token_count": 1209
} | 1,216 |
grammar Plan;
expr:
IntegerConstant # Integer
| FloatingConstant # Floating
| BooleanConstant # Boolean
| StringLiteral # String
| Identifier # Identifier
| JSO... | milvus/internal/parser/planparserv2/Plan.g4/0 | {
"file_path": "milvus/internal/parser/planparserv2/Plan.g4",
"repo_id": "milvus",
"token_count": 2773
} | 1,835 |
import { test, expect } from "@jest/globals";
import {
BaseMessage,
SystemMessage,
HumanMessage,
AIMessage,
} from "@langchain/core/messages";
import { ChatExample, ChatGoogleVertexAI } from "../googlevertexai/web.js";
test("Google messages", async () => {
const messages: BaseMessage[] = [
new HumanMessa... | langchainjs/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.test.ts",
"repo_id": "langchainjs",
"token_count": 1432
} | 964 |
import { NextRequest, NextResponse } from "next/server";
import { Client } from "langsmith";
export const runtime = "edge";
const langsmithClient = new Client();
/**
* This handler retrieves a LangSmith trace URL for the given run.
* It isn't used by default, but if you'd like to turn it on, set
* "showTraceUrls... | langsmith-cookbook/feedback-examples/nextjs/app/api/trace/route.ts/0 | {
"file_path": "langsmith-cookbook/feedback-examples/nextjs/app/api/trace/route.ts",
"repo_id": "langsmith-cookbook",
"token_count": 398
} | 1,055 |
"""Util that calls GitHub."""
from __future__ import annotations
import json
from typing import TYPE_CHECKING, Any, Dict, List, Optional
import requests
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
if TYPE_CHECKING:
from github.Iss... | langchain/libs/community/langchain_community/utilities/github.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/github.py",
"repo_id": "langchain",
"token_count": 15914
} | 321 |
import { ViolationOfExpectationsChain } from "langchain/experimental/chains/violation_of_expectations";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
// Short GPT... | langchainjs/examples/src/use_cases/advanced/violation_of_expectations_chain.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/advanced/violation_of_expectations_chain.ts",
"repo_id": "langchainjs",
"token_count": 956
} | 887 |
python_tests()
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,460 |
# 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/kandinsky3/test_kandinsky3.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky3/test_kandinsky3.py",
"repo_id": "diffusers",
"token_count": 3516
} | 291 |
python_sources()
| llama_index/llama-index-core/llama_index/core/node_parser/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,277 |
/* eslint-disable global-require,import/no-extraneous-dependencies */
// @ts-check
// Note: type annotations allow type checking and IDEs autocompletion
// eslint-disable-next-line import/no-extraneous-dependencies
const { ProvidePlugin } = require("webpack");
const path = require("path");
const baseLightCodeBlockThe... | langchain/docs/docusaurus.config.js/0 | {
"file_path": "langchain/docs/docusaurus.config.js",
"repo_id": "langchain",
"token_count": 5237
} | 214 |
# Copyright 2022 The Impira Team and the HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/pipelines/document_question_answering.py/0 | {
"file_path": "transformers/src/transformers/pipelines/document_question_answering.py",
"repo_id": "transformers",
"token_count": 10332
} | 699 |
<jupyter_start><jupyter_text>MistralAI Embeddings If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-embeddings-mistralai
!pip install llama-index
# imports
from llama_index.embeddings.mistralai import MistralAIEmbedding
# get API key and cre... | llama_index/docs/examples/embeddings/mistralai.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/mistralai.ipynb",
"repo_id": "llama_index",
"token_count": 228
} | 1,101 |
import json
from typing import Any, Callable, Optional, Union
from langchain.evaluation.schema import StringEvaluator
from langchain.output_parsers.json import parse_json_markdown
class JsonEditDistanceEvaluator(StringEvaluator):
"""
An evaluator that calculates the edit distance between JSON strings.
T... | langchain/libs/langchain/langchain/evaluation/parsing/json_distance.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/parsing/json_distance.py",
"repo_id": "langchain",
"token_count": 1445
} | 528 |
"""Init params."""
| llama_index/llama-index-core/tests/indices/document_summary/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/document_summary/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,310 |
import re
from sphinx.directives.other import TocTree
class TocTreeTags(TocTree):
hasPat = re.compile("^\s*:(.+):(.+)$")
def filter_entries(self, entries):
filtered = []
for e in entries:
m = self.hasPat.match(e)
if m != None:
if self.env.app.tags.has(m... | tokenizers/docs/source/_ext/toctree_tags.py/0 | {
"file_path": "tokenizers/docs/source/_ext/toctree_tags.py",
"repo_id": "tokenizers",
"token_count": 345
} | 445 |
# coding=utf-8
# Copyright 2021 The OpenAI Team Authors and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | transformers/src/transformers/models/clip/modeling_clip.py/0 | {
"file_path": "transformers/src/transformers/models/clip/modeling_clip.py",
"repo_id": "transformers",
"token_count": 25734
} | 577 |
# docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_first_cells ... | transformers/docs/source/_config.py/0 | {
"file_path": "transformers/docs/source/_config.py",
"repo_id": "transformers",
"token_count": 156
} | 488 |
from typing import Any, Callable, List, Optional, Sequence, TypedDict
import numpy as np
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.node_parser import NodeParser
fro... | llama_index/llama-index-core/llama_index/core/node_parser/text/semantic_splitter.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/text/semantic_splitter.py",
"repo_id": "llama_index",
"token_count": 3859
} | 1,190 |
"""Set of default prompts."""
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.prompts.prompt_type import PromptType
############################################
# Tree
############################################
DEFAULT_SUMMARY_PROMPT_TMPL = (
"Write a summary of the following. Tr... | llama_index/llama-index-core/llama_index/core/prompts/default_prompts.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/default_prompts.py",
"repo_id": "llama_index",
"token_count": 5535
} | 1,285 |
// 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/datacoord/policy_test.go/0 | {
"file_path": "milvus/internal/datacoord/policy_test.go",
"repo_id": "milvus",
"token_count": 6357
} | 1,915 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/environment.py/0 | {
"file_path": "accelerate/src/accelerate/utils/environment.py",
"repo_id": "accelerate",
"token_count": 1509
} | 17 |
import { PuppeteerWebBaseLoader } from "langchain/document_loaders/web/puppeteer";
const loaderWithOptions = new PuppeteerWebBaseLoader(
"https://www.tabnews.com.br/",
{
launchOptions: {
headless: true,
},
gotoOptions: {
waitUntil: "domcontentloaded",
},
/** Pass custom evaluate , ... | langchainjs/examples/src/document_loaders/puppeteer_web.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/puppeteer_web.ts",
"repo_id": "langchainjs",
"token_count": 250
} | 800 |
import logging
from langchain_experimental.rl_chain.base import (
AutoSelectionScorer,
BasedOn,
Embed,
Embedder,
Policy,
SelectionScorer,
ToSelectFrom,
VwPolicy,
embed,
stringify_embedding,
)
from langchain_experimental.rl_chain.pick_best_chain import (
PickBest,
PickBes... | langchain/libs/experimental/langchain_experimental/rl_chain/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/rl_chain/__init__.py",
"repo_id": "langchain",
"token_count": 461
} | 436 |
---
sidebar_class_name: node-only
keywords: [OpenSearchVectorStore]
---
# OpenSearch
:::tip Compatibility
Only available on Node.js.
:::
[OpenSearch](https://opensearch.org/) is a fork of [Elasticsearch](https://www.elastic.co/elasticsearch/) that is fully compatible with the Elasticsearch API. Read more about their... | langchainjs/docs/core_docs/docs/integrations/vectorstores/opensearch.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/opensearch.mdx",
"repo_id": "langchainjs",
"token_count": 1234
} | 719 |
import json
from langchain_community.vectorstores.jaguar import Jaguar
from tests.integration_tests.vectorstores.fake_embeddings import (
ConsistentFakeEmbeddings,
)
#############################################################################################
##
## Requirement: fwww http server must be running a... | langchain/libs/community/tests/integration_tests/vectorstores/test_jaguar.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_jaguar.py",
"repo_id": "langchain",
"token_count": 1811
} | 385 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import { JsonRefs } from "./json-refs";
// jsonforms doesn't support schemas with root $ref
// so we resolve root $ref and replace it with the actual schema
export function simplifySchema(schema: any) {
return JsonRefs.resolveRefs(schema).then((r: any) => r.res... | langserve/langserve/playground/src/utils/simplifySchema.ts/0 | {
"file_path": "langserve/langserve/playground/src/utils/simplifySchema.ts",
"repo_id": "langserve",
"token_count": 111
} | 1,132 |
// 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/msg_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/msg_test.go",
"repo_id": "milvus",
"token_count": 7086
} | 1,828 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/open-llama.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/open-llama.md",
"repo_id": "transformers",
"token_count": 620
} | 498 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,493 |
# Generated content DO NOT EDIT
class PostProcessor:
"""
Base class for all post-processors
This class is not supposed to be instantiated directly. Instead, any implementation of
a PostProcessor will return an instance of this class when instantiated.
"""
def num_special_tokens_to_add(self, is... | tokenizers/bindings/python/py_src/tokenizers/processors/__init__.pyi/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/processors/__init__.pyi",
"repo_id": "tokenizers",
"token_count": 4779
} | 463 |
#![deny(clippy::all)]
pub const VERSION: &str = env!("CARGO_PKG_VERSION");
mod arc_rwlock_serde;
pub mod decoders;
pub mod encoding;
pub mod models;
pub mod normalizers;
pub mod pre_tokenizers;
pub mod processors;
pub mod tasks;
pub mod tokenizer;
pub mod trainers;
pub mod utils;
| tokenizers/bindings/node/src/lib.rs/0 | {
"file_path": "tokenizers/bindings/node/src/lib.rs",
"repo_id": "tokenizers",
"token_count": 102
} | 442 |
"""Empty index.
An index that doesn't contain any documents. Can only be used for
pure LLM calls.
"""
from typing import Any, Dict, Optional, Sequence
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.data_structs... | llama_index/llama-index-core/llama_index/core/indices/empty/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/empty/base.py",
"repo_id": "llama_index",
"token_count": 1152
} | 1,176 |
use crate::model::{Cache, Config, Llama};
use byteorder::{LittleEndian, ReadBytesExt};
use candle::{DType, Device, IndexOp, Result, Shape, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::generation::LogitsProcessor;
use serde::{Deserialize, Serialize};
use tokenizers::Tokenizer;
use wasm_bindgen::prelude::... | candle/candle-wasm-examples/llama2-c/src/worker.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/worker.rs",
"repo_id": "candle",
"token_count": 5770
} | 84 |
import { LLMChain } from "langchain/chains";
import { ChatOpenAI } from "@langchain/openai";
import { ZeroShotAgent, AgentExecutor } from "langchain/agents";
import {
ChatPromptTemplate,
SystemMessagePromptTemplate,
HumanMessagePromptTemplate,
} from "@langchain/core/prompts";
import { SerpAPI } from "@langchain/... | langchainjs/examples/src/chat/agent.ts/0 | {
"file_path": "langchainjs/examples/src/chat/agent.ts",
"repo_id": "langchainjs",
"token_count": 506
} | 768 |
use std::sync::{Arc, RwLock};
use crate::models::PyModel;
use crate::tokenizer::PyAddedToken;
use crate::utils::PyChar;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::{Deserialize, Serialize};
use tk::models::TrainerWrapper;
use tk::Trainer;
use tokenizers as tk;
/// Base class for all tra... | tokenizers/bindings/python/src/trainers.rs/0 | {
"file_path": "tokenizers/bindings/python/src/trainers.rs",
"repo_id": "tokenizers",
"token_count": 17617
} | 407 |
# LlamaIndex Callbacks Integration: UpTrain
UpTrain is an open-source tool to evaluate and monitor the performance of language models. It provides a set of pre-built evaluations to assess the quality of responses generated by the model. Once you add UpTrainCallbackHandler to your existing LlamaIndex pipeline, it will ... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/README.md",
"repo_id": "llama_index",
"token_count": 551
} | 1,296 |
from llama_index.core.storage.index_store.keyval_index_store import KVIndexStore
from llama_index.storage.index_store.redis import RedisIndexStore
def test_class():
names_of_base_classes = [b.__name__ for b in RedisIndexStore.__mro__]
assert KVIndexStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/tests/test_storage_index_store_redis.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/tests/test_storage_index_store_redis.py",
"repo_id": "llama_index",
"token_count": 105
} | 1,422 |
#!/usr/bin/env python
# coding=utf-8
# 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-... | transformers/examples/pytorch/contrastive-image-text/run_clip.py/0 | {
"file_path": "transformers/examples/pytorch/contrastive-image-text/run_clip.py",
"repo_id": "transformers",
"token_count": 9756
} | 523 |
use rand::distributions::WeightedIndex;
use rand::prelude::*;
use std::cell::RefCell;
use std::cmp::{min, Ordering};
use std::collections::BinaryHeap;
use std::rc::Rc;
type NodeRef = Rc<RefCell<Node>>;
type HypothesisRef = Rc<RefCell<Hypothesis>>;
type Agenda = BinaryHeap<Hypothesis>;
struct Hypothesis {
node_ref... | tokenizers/tokenizers/src/models/unigram/lattice.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/unigram/lattice.rs",
"repo_id": "tokenizers",
"token_count": 12682
} | 480 |
from typing import TYPE_CHECKING, Optional, Union
if TYPE_CHECKING:
from langchain.base_language import BaseLanguageModel
from llama_index.legacy.llms.llama_cpp import LlamaCPP
from llama_index.legacy.llms.llama_utils import completion_to_prompt, messages_to_prompt
from llama_index.legacy.llms.llm import LLM
from... | llama_index/llama-index-legacy/llama_index/legacy/llms/utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/utils.py",
"repo_id": "llama_index",
"token_count": 1031
} | 1,684 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/examples/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/examples/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,827 |
"""A simple, flexible implementation of a GPT model.
Inspired by https://github.com/karpathy/minGPT/blob/master/mingpt/model.py
"""
import math
import os
import warnings
from typing import List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers import PreTraine... | text-generation-inference/server/text_generation_server/models/custom_modeling/mpt_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/mpt_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 23558
} | 402 |
# RSS Loader
This loader allows fetching text from an RSS feed. It uses the `feedparser` module
to fetch the feed and optionally the `html2text` module to sanitize it.
## Usage
To use this loader, pass in an array of URL's.
```python
from llama_index import download_loader
RssReader = download_loader("RssReader")
... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss/README.md",
"repo_id": "llama_index",
"token_count": 184
} | 1,568 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion/stable_unclip_image_normalizer.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/stable_unclip_image_normalizer.py",
"repo_id": "diffusers",
"token_count": 674
} | 250 |
"""Tools for interacting with the user."""
import warnings
from typing import Any
from langchain_community.tools.human.tool import HumanInputRun
def StdInInquireTool(*args: Any, **kwargs: Any) -> HumanInputRun:
"""Tool for asking the user for input."""
warnings.warn(
"StdInInquireTool will be depre... | langchain/libs/community/langchain_community/tools/interaction/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/interaction/tool.py",
"repo_id": "langchain",
"token_count": 155
} | 312 |
// 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/unittest/test_growing_index.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_growing_index.cpp",
"repo_id": "milvus",
"token_count": 3976
} | 1,818 |
# flake8: noqa
from langchain_core.prompts.prompt import PromptTemplate
_DEFAULT_TEMPLATE = """Question: Who lived longer, Muhammad Ali or Alan Turing?
Are follow up questions needed here: Yes.
Follow up: How old was Muhammad Ali when he died?
Intermediate answer: Muhammad Ali was 74 years old when he died.
Follow up:... | langchain/libs/langchain/langchain/agents/self_ask_with_search/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/self_ask_with_search/prompt.py",
"repo_id": "langchain",
"token_count": 483
} | 478 |
<!---
Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/it/perf_hardware.md/0 | {
"file_path": "transformers/docs/source/it/perf_hardware.md",
"repo_id": "transformers",
"token_count": 3009
} | 533 |
import h5py
import numpy as np
import time
import sys
import threading
from pathlib import Path
from loguru import logger
from pymilvus import connections, Collection
all_index_types = ["IVF_FLAT", "IVF_SQ8", "HNSW"]
def read_benchmark_hdf5(file_path):
f = h5py.File(file_path, 'r')
train = np.array(f["trai... | milvus/tests/python_client/deploy/scripts/second_recall_test.py/0 | {
"file_path": "milvus/tests/python_client/deploy/scripts/second_recall_test.py",
"repo_id": "milvus",
"token_count": 1671
} | 1,906 |
const CopyWebpackPlugin = require("copy-webpack-plugin");
const path = require('path');
module.exports = {
entry: "./bootstrap.js",
output: {
path: path.resolve(__dirname, "dist"),
filename: "bootstrap.js",
},
mode: "development",
plugins: [
new CopyWebpackPlugin(['index.html'])
],
};
| tokenizers/tokenizers/examples/unstable_wasm/www/webpack.config.js/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/webpack.config.js",
"repo_id": "tokenizers",
"token_count": 114
} | 428 |
[tool.poetry]
name = "neo4j-cypher-memory"
version = "0.1.0"
description = "Conversational interface for a Neo4j graph database"
authors = [
"Tomaz Bratanic <tomaz.bratanic@neo4j.com>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
neo4j = ">5.12"
openai = "<2"
[tool... | langchain/templates/neo4j-cypher-memory/pyproject.toml/0 | {
"file_path": "langchain/templates/neo4j-cypher-memory/pyproject.toml",
"repo_id": "langchain",
"token_count": 303
} | 674 |
export type SchemaDraft = "4" | "7" | "2019-09" | "2020-12";
export const enum OutputFormat {
Flag = 1 << 0,
Basic = 1 << 1,
Detailed = 1 << 2,
}
export type InstanceType =
| "array"
| "boolean"
| "integer"
| "null"
| "number"
| "object"
| "string";
export interface Schema {
$id?: string;
$an... | langchainjs/langchain-core/src/utils/@cfworker/json-schema/src/types.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/@cfworker/json-schema/src/types.ts",
"repo_id": "langchainjs",
"token_count": 671
} | 936 |
from __future__ import annotations
import tempfile
from typing import TYPE_CHECKING, List
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.unstructured impor... | langchain/libs/community/langchain_community/document_loaders/onedrive_file.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/onedrive_file.py",
"repo_id": "langchain",
"token_count": 412
} | 241 |
from langchain_community.document_transformers import __all__
EXPECTED_ALL = [
"BeautifulSoupTransformer",
"DoctranQATransformer",
"DoctranTextTranslator",
"DoctranPropertyExtractor",
"EmbeddingsClusteringFilter",
"EmbeddingsRedundantFilter",
"GoogleTranslateTransformer",
"get_stateful_... | langchain/libs/community/tests/unit_tests/document_transformers/test_imports.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_transformers/test_imports.py",
"repo_id": "langchain",
"token_count": 205
} | 372 |
"""Tool for the identification of prompt injection attacks."""
from __future__ import annotations
from typing import TYPE_CHECKING, Union
from langchain.pydantic_v1 import Field, root_validator
from langchain.tools.base import BaseTool
if TYPE_CHECKING:
from transformers import Pipeline
class PromptInjectionEx... | langchain/libs/experimental/langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py",
"repo_id": "langchain",
"token_count": 1218
} | 424 |
Keyword Table Retrievers
=========================
.. automodule:: llama_index.core.indices.keyword_table.retrievers
:members:
:inherited-members:
.. :exclude-members: index_struct, query, set_llm_predictor, set_prompt_helper
| llama_index/docs/api_reference/query/retrievers/table.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/retrievers/table.rst",
"repo_id": "llama_index",
"token_count": 85
} | 1,040 |
from typing import List, cast
import pytest
try:
import qdrant_client
except ImportError:
qdrant_client = None # type: ignore
from llama_index.legacy.schema import NodeRelationship, RelatedNodeInfo, TextNode
from llama_index.legacy.vector_stores import QdrantVectorStore
from llama_index.legacy.vector_stores... | llama_index/llama-index-legacy/tests/vector_stores/test_qdrant.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/vector_stores/test_qdrant.py",
"repo_id": "llama_index",
"token_count": 3768
} | 1,686 |
<jupyter_start><jupyter_text>BibTeX> BibTeX is a file format and reference management system commonly used in conjunction with LaTeX typesetting. It serves as a way to organize and store bibliographic information for academic and research documents.BibTeX files have a .bib extension and consist of plain text entries re... | langchain/docs/docs/integrations/document_loaders/bibtex.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/bibtex.ipynb",
"repo_id": "langchain",
"token_count": 1107
} | 106 |
use crate::models::with_tracing::{linear, linear_no_bias, Linear};
use candle::{DType, Device, Module, Result, Tensor, D};
use candle_nn::{Activation, LayerNorm, VarBuilder};
use serde::Deserialize;
use std::sync::Arc;
// https://huggingface.co/stabilityai/stablelm-3b-4e1t/blob/main/configuration_stablelm_epoch.py
#[d... | candle/candle-transformers/src/models/stable_lm.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_lm.rs",
"repo_id": "candle",
"token_count": 7718
} | 69 |
from langchain_community.utilities.searchapi import SearchApiAPIWrapper
__all__ = ["SearchApiAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/searchapi.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/searchapi.py",
"repo_id": "langchain",
"token_count": 33
} | 620 |
from llama_index.core.indices import SummaryIndex
from llama_index.core.schema import IndexNode, TextNode
def test_composable_retrieval() -> None:
"""Test composable retrieval."""
text_node = TextNode(text="This is a test text node.", id_="test_text_node")
index_node = IndexNode(
text="This is a t... | llama_index/llama-index-core/tests/retrievers/test_composable_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/tests/retrievers/test_composable_retriever.py",
"repo_id": "llama_index",
"token_count": 296
} | 1,326 |
from multiprocessing import Value
class SharedCount:
def __init__(self, epoch: int = 0):
self.shared_epoch = Value('i', epoch)
@property
def value(self):
return self.shared_epoch.value
@value.setter
def value(self, epoch):
self.shared_epoch.value = epoch
| pytorch-image-models/timm/data/readers/shared_count.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/shared_count.py",
"repo_id": "pytorch-image-models",
"token_count": 122
} | 363 |
python_sources()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/llama_index/multi_modal_llms/gemini/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/llama_index/multi_modal_llms/gemini/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,288 |
from langchain_community.document_loaders.tomarkdown import ToMarkdownLoader
__all__ = ["ToMarkdownLoader"]
| langchain/libs/langchain/langchain/document_loaders/tomarkdown.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/tomarkdown.py",
"repo_id": "langchain",
"token_count": 32
} | 526 |
"""Test LiteLLM Router API wrapper."""
import asyncio
from copy import deepcopy
from typing import Any, AsyncGenerator, Coroutine, Dict, List, Tuple, Union, cast
import pytest
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from lan... | langchain/libs/community/tests/integration_tests/chat_models/test_litellm_router.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_litellm_router.py",
"repo_id": "langchain",
"token_count": 4761
} | 319 |
<jupyter_start><jupyter_text>Que faire si mon jeu de données n'est pas sur le Hub ? Installez les bibliothèques 🤗 Transformers et 🤗 Datasets pour exécuter ce *notebook*.<jupyter_code>!pip install datasets evaluate transformers[sentencepiece]
!wget https://github.com/crux82/squad-it/raw/master/SQuAD_it-train.json.gz
!... | notebooks/course/fr/chapter5/section2.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter5/section2.ipynb",
"repo_id": "notebooks",
"token_count": 496
} | 269 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-snowflake-query-engine/llama_index/packs/snowflake_query_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-snowflake-query-engine/llama_index/packs/snowflake_query_engine/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,677 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "cache/momento",
newEntrypointName: "caches/momento",
});
export * from "@langchain/community/caches/momento";
| langchainjs/langchain/src/cache/momento.ts/0 | {
"file_path": "langchainjs/langchain/src/cache/momento.ts",
"repo_id": "langchainjs",
"token_count": 85
} | 922 |
extern crate tokenizers as tk;
use crate::encoding::*;
use crate::tokenizer::Tokenizer;
use napi::bindgen_prelude::*;
use tk::tokenizer::{EncodeInput, Encoding};
pub struct EncodeTask<'s> {
pub tokenizer: Tokenizer,
pub input: Option<EncodeInput<'s>>,
pub add_special_tokens: bool,
}
impl Task for EncodeTask<'s... | tokenizers/bindings/node/src/tasks/tokenizer.rs/0 | {
"file_path": "tokenizers/bindings/node/src/tasks/tokenizer.rs",
"repo_id": "tokenizers",
"token_count": 1295
} | 455 |
# LlamaIndex Callbacks Integration: Arize Phoenix
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-arize-phoenix/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-arize-phoenix/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,262 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,264 |
""" MultiStep LR Scheduler
Basic multi step LR schedule with warmup, noise.
"""
import torch
import bisect
from timm.scheduler.scheduler import Scheduler
from typing import List
class MultiStepLRScheduler(Scheduler):
"""
"""
def __init__(
self,
optimizer: torch.optim.Optimizer,
... | pytorch-image-models/timm/scheduler/multistep_lr.py/0 | {
"file_path": "pytorch-image-models/timm/scheduler/multistep_lr.py",
"repo_id": "pytorch-image-models",
"token_count": 1029
} | 363 |
<jupyter_start><jupyter_text>Comprendre la classe Interface Installez les bibliothèques 🤗 Transformers et 🤗 Gradio pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install gradio
import numpy as np
import gradio as gr
def reverse_audio(audio):
sr, data = audio
... | notebooks/course/fr/chapter9/section3.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter9/section3.ipynb",
"repo_id": "notebooks",
"token_count": 759
} | 298 |
import os
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
from langchain_community.tools.file_management.utils import (
INVALID_PATH_TEMPLATE,
BaseFileToolMixin,
... | langchain/libs/community/langchain_community/tools/file_management/list_dir.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/file_management/list_dir.py",
"repo_id": "langchain",
"token_count": 560
} | 297 |
""" Official evaluation script for CUAD dataset. """
import argparse
import json
import re
import string
import sys
import numpy as np
IOU_THRESH = 0.5
def get_jaccard(prediction, ground_truth):
remove_tokens = [".", ",", ";", ":"]
for token in remove_tokens:
ground_truth = ground_truth.replace(t... | datasets/metrics/cuad/evaluate.py/0 | {
"file_path": "datasets/metrics/cuad/evaluate.py",
"repo_id": "datasets",
"token_count": 3035
} | 119 |
## Sequence to Sequence Training and Evaluation
This directory contains examples for finetuning and evaluating transformers on summarization and translation tasks.
Author: Sam Shleifer (https://github.com/sshleifer)
### Supported Architectures
- `BartForConditionalGeneration` (and anything that inherits from it)
- ... | transformers/examples/research_projects/seq2seq-distillation/README.md/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/README.md",
"repo_id": "transformers",
"token_count": 6520
} | 553 |
#!/usr/bin/env python
# coding=utf-8
# Copyright The HuggingFace Team 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.ap... | transformers/examples/tensorflow/multiple-choice/run_swag.py/0 | {
"file_path": "transformers/examples/tensorflow/multiple-choice/run_swag.py",
"repo_id": "transformers",
"token_count": 10190
} | 597 |
import * as yaml from "yaml";
import { extname } from "./extname.js";
export const loadFileContents = (contents: string, format: string) => {
switch (format) {
case ".json":
return JSON.parse(contents);
case ".yml":
case ".yaml":
return yaml.parse(contents);
default:
throw new Error... | langchainjs/langchain/src/util/parse.ts/0 | {
"file_path": "langchainjs/langchain/src/util/parse.ts",
"repo_id": "langchainjs",
"token_count": 260
} | 962 |
// Code generated by mockery v2.30.1. DO NOT EDIT.
package importutilv2
import (
storage "github.com/milvus-io/milvus/internal/storage"
mock "github.com/stretchr/testify/mock"
)
// MockReader is an autogenerated mock type for the Reader type
type MockReader struct {
mock.Mock
}
type MockReader_Expecter struct {
... | milvus/internal/util/importutilv2/mock_reader.go/0 | {
"file_path": "milvus/internal/util/importutilv2/mock_reader.go",
"repo_id": "milvus",
"token_count": 1127
} | 1,798 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,688 |
""" Batch size decay and retry helpers.
Copyright 2022 Ross Wightman
"""
import math
def decay_batch_step(batch_size, num_intra_steps=2, no_odd=False):
""" power of two batch-size decay with intra steps
Decay by stepping between powers of 2:
* determine power-of-2 floor of current batch size (base batch... | pytorch-image-models/timm/utils/decay_batch.py/0 | {
"file_path": "pytorch-image-models/timm/utils/decay_batch.py",
"repo_id": "pytorch-image-models",
"token_count": 656
} | 384 |
import type { z } from "zod";
import { zodToJsonSchema, JsonSchema7Type } from "zod-to-json-schema";
import type { BaseOutputParser } from "@langchain/core/output_parsers";
import type { BasePromptTemplate } from "@langchain/core/prompts";
import type { Runnable, RunnableInterface } from "@langchain/core/runnables";
i... | langchainjs/langchain/src/chains/openai_functions/base.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/openai_functions/base.ts",
"repo_id": "langchainjs",
"token_count": 2589
} | 862 |
from functools import lru_cache
@lru_cache(10)
def log_once(log, msg: str):
log(msg)
| text-generation-inference/server/text_generation_server/utils/log.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/log.py",
"repo_id": "text-generation-inference",
"token_count": 40
} | 434 |
from langchain_community.tools.azure_cognitive_services.form_recognizer import (
AzureCogsFormRecognizerTool,
)
__all__ = ["AzureCogsFormRecognizerTool"]
| langchain/libs/langchain/langchain/tools/azure_cognitive_services/form_recognizer.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/azure_cognitive_services/form_recognizer.py",
"repo_id": "langchain",
"token_count": 55
} | 596 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/langchain_helpers/agents/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/langchain_helpers/agents/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,609 |
package httpserver
import (
"bytes"
"context"
"encoding/json"
"fmt"
"net/http"
"net/http/httptest"
"testing"
"time"
"github.com/gin-gonic/gin"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/mock"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto... | milvus/internal/distributed/proxy/httpserver/handler_v2_test.go/0 | {
"file_path": "milvus/internal/distributed/proxy/httpserver/handler_v2_test.go",
"repo_id": "milvus",
"token_count": 18149
} | 1,715 |
<jupyter_start><jupyter_text>How to use a SmartLLMChainA SmartLLMChain is a form of self-critique chain that can help you if have particularly complex questions to answer. Instead of doing a single LLM pass, it instead performs these 3 steps:1. Ideation: Pass the user prompt n times through the LLM to get n output prop... | langchain/cookbook/smart_llm.ipynb/0 | {
"file_path": "langchain/cookbook/smart_llm.ipynb",
"repo_id": "langchain",
"token_count": 1290
} | 82 |
from llama_index.extractors.marvin.base import MarvinMetadataExtractor
def test_marvin_class():
"""TODO: mock this class and have proper test."""
assert MarvinMetadataExtractor.class_name() == "MarvinEntityExtractor"
| llama_index/llama-index-integrations/extractors/llama-index-extractors-marvin/tests/test_extractors_marvin.py/0 | {
"file_path": "llama_index/llama-index-integrations/extractors/llama-index-extractors-marvin/tests/test_extractors_marvin.py",
"repo_id": "llama_index",
"token_count": 72
} | 1,280 |
/**
* Sleep for a given amount of time.
* @param ms - The number of milliseconds to sleep for. Defaults to 1000.
* @returns A promise that resolves when the sleep is complete.
*/
export async function sleep(ms = 1000): Promise<void> {
return new Promise<void>((resolve) => {
setTimeout(resolve, ms);
});
}
| langchainjs/libs/langchain-community/src/utils/time.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/time.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 1,080 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/program/predefined/evaporate/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/program/predefined/evaporate/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,590 |
import multiprocessing
import numbers
import random
import numpy
import threading
import pytest
import pandas as pd
import decimal
from decimal import Decimal, getcontext
from time import sleep
import heapq
from base.client_base import TestcaseBase
from utils.util_log import test_log as log
from common import common_f... | milvus/tests/python_client/milvus_client/test_milvus_client_index.py/0 | {
"file_path": "milvus/tests/python_client/milvus_client/test_milvus_client_index.py",
"repo_id": "milvus",
"token_count": 14278
} | 2,004 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.