text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
""" Model Registry
Hacked together by / Copyright 2020 Ross Wightman
"""
import fnmatch
import re
import sys
import warnings
from collections import defaultdict, deque
from copy import deepcopy
from dataclasses import replace
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Sequence, Union, Tuple... | pytorch-image-models/timm/models/_registry.py/0 | {
"file_path": "pytorch-image-models/timm/models/_registry.py",
"repo_id": "pytorch-image-models",
"token_count": 5428
} | 374 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "tools/aws_sfn",
});
export * from "@langchain/community/tools/aws_sfn";
| langchainjs/langchain/src/tools/aws_sfn.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/aws_sfn.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 971 |
use crate::{DType, DeviceLocation, Layout, MetalError, Shape};
#[derive(Debug, Clone)]
pub struct MatMulUnexpectedStriding {
pub lhs_l: Layout,
pub rhs_l: Layout,
pub bmnk: (usize, usize, usize, usize),
pub msg: &'static str,
}
/// Main library error type.
#[derive(thiserror::Error, Debug)]
pub enum E... | candle/candle-core/src/error.rs/0 | {
"file_path": "candle/candle-core/src/error.rs",
"repo_id": "candle",
"token_count": 3254
} | 31 |
# flake8: noqa
PREFIX = """You are an agent designed to write and execute python code to answer questions.
You have access to a python REPL, which you can use to execute python code.
If you get an error, debug your code and try again.
Only use the output of your code to answer the question.
You might know the answer ... | langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/python/prompt.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/python/prompt.py",
"repo_id": "langchain",
"token_count": 129
} | 413 |
<jupyter_start><jupyter_text>Aim CallbackAim is an easy-to-use & supercharged open-source AI metadata tracker it logs all your AI metadata (experiments, prompts, etc) enables a UI to compare & observe them and SDK to query them programmatically. For more please see the [Github page](https://github.com/aimhubio/aim).In ... | llama_index/docs/examples/callbacks/AimCallback.ipynb/0 | {
"file_path": "llama_index/docs/examples/callbacks/AimCallback.ipynb",
"repo_id": "llama_index",
"token_count": 680
} | 1,124 |
// 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/rules.go/0 | {
"file_path": "milvus/pkg/rules.go",
"repo_id": "milvus",
"token_count": 6196
} | 2,045 |
export WANDB_ENTITY=huggingface
export WANDB_PROJECT=trl
bash $BENCHMARK_SCRIPT > output.txt
# Extract Job IDs into an array
job_ids=($(grep "Job ID:" output.txt | awk '{print $3}'))
# Extract WANDB_TAGS into an array
WANDB_TAGS=($(grep "WANDB_TAGS:" output.txt | awk '{print $2}'))
WANDB_TAGS=($(echo $WANDB_TAGS | tr... | trl/benchmark/benchmark_and_report.sh/0 | {
"file_path": "trl/benchmark/benchmark_and_report.sh",
"repo_id": "trl",
"token_count": 387
} | 874 |
from langchain_mistralai import __all__
EXPECTED_ALL = ["ChatMistralAI", "MistralAIEmbeddings"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/mistralai/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/partners/mistralai/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 68
} | 628 |
# __init__.py
from llama_index.tools.slack.base import (
SlackToolSpec,
)
__all__ = ["SlackToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-slack/llama_index/tools/slack/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-slack/llama_index/tools/slack/__init__.py",
"repo_id": "llama_index",
"token_count": 44
} | 1,497 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/query/query_transform/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/query/query_transform/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,568 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/mobilenet_v2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mobilenet_v2.md",
"repo_id": "transformers",
"token_count": 1747
} | 496 |
import re
import pytest
from langchain.evaluation import RegexMatchStringEvaluator
@pytest.fixture
def regex_match_string_evaluator() -> RegexMatchStringEvaluator:
"""Create a RegexMatchStringEvaluator with default configuration."""
return RegexMatchStringEvaluator()
@pytest.fixture
def regex_match_string... | langchain/libs/langchain/tests/unit_tests/evaluation/regex_match/test_base.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/evaluation/regex_match/test_base.py",
"repo_id": "langchain",
"token_count": 496
} | 624 |
use candle_transformers::models::segment_anything::sam;
use wasm_bindgen::prelude::*;
pub use sam::{Sam, IMAGE_SIZE};
#[wasm_bindgen]
extern "C" {
// Use `js_namespace` here to bind `console.log(..)` instead of just
// `log(..)`
#[wasm_bindgen(js_namespace = console)]
pub fn log(s: &str);
}
#[macro_e... | candle/candle-wasm-examples/segment-anything/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-examples/segment-anything/src/lib.rs",
"repo_id": "candle",
"token_count": 213
} | 85 |
package kv
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
func Test_mockSnapshotKV_Save(t *testing.T) {
t.Run("func not set", func(t *testing.T) {
snapshot := NewMockSnapshotKV()
err := snapshot.Save("k", "v", 0)
assert.NoError(t, err)
})
t.Run(... | milvus/internal/kv/mock_snapshot_kv_test.go/0 | {
"file_path": "milvus/internal/kv/mock_snapshot_kv_test.go",
"repo_id": "milvus",
"token_count": 1044
} | 1,939 |
# 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 applicabl... | transformers/src/transformers/convert_graph_to_onnx.py/0 | {
"file_path": "transformers/src/transformers/convert_graph_to_onnx.py",
"repo_id": "transformers",
"token_count": 7904
} | 630 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-ollama/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-ollama/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,371 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Wikipedia tool
The `WikipediaQueryRun` tool connects your agents and chains to Wikipedia.
## Usage
import ToolExample from "@examples/tools/wikipedia.ts";
<CodeBlock language="typescript">{ToolExample}</CodeBlock>
| langchainjs/docs/core_docs/docs/integrations/tools/wikipedia.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/tools/wikipedia.mdx",
"repo_id": "langchainjs",
"token_count": 88
} | 716 |
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/pipelines/base.py/0 | {
"file_path": "transformers/src/transformers/pipelines/base.py",
"repo_id": "transformers",
"token_count": 22804
} | 747 |
import { zodToJsonSchema } from "zod-to-json-schema";
import fs from "fs";
import { z } from "zod";
import { AgentAction, AgentFinish, AgentStep } from "@langchain/core/agents";
import { AIMessage } from "@langchain/core/messages";
import { OpenAIEmbeddings, ChatOpenAI } from "@langchain/openai";
import { convertToOpen... | langchainjs/langchain/src/agents/tests/structured_output_runnables.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/tests/structured_output_runnables.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1605
} | 897 |
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { OpenAIEmbeddings } from "@langchain/openai";
import { similarity } from "ml-distance";
const vectorStore = await MemoryVectorStore.fromTexts(
["Hello world", "Bye bye", "hello nice world"],
[{ id: 2 }, { id: 1 }, { id: 3 }],
new OpenAIEm... | langchainjs/examples/src/indexes/vector_stores/memory_custom_similarity.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/memory_custom_similarity.ts",
"repo_id": "langchainjs",
"token_count": 145
} | 786 |
from llama_index.core.program.llm_prompt_program import BaseLLMFunctionProgram
from llama_index.program.guidance import GuidancePydanticProgram
def test_class():
names_of_base_classes = [b.__name__ for b in GuidancePydanticProgram.__mro__]
assert BaseLLMFunctionProgram.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/program/llama-index-program-guidance/tests/test_program_guidance.py/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-guidance/tests/test_program_guidance.py",
"repo_id": "llama_index",
"token_count": 105
} | 1,254 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/plan_c.h/0 | {
"file_path": "milvus/internal/core/src/segcore/plan_c.h",
"repo_id": "milvus",
"token_count": 762
} | 1,750 |
import pytest
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel
from utils.util_log import test_log as log
# customer rg
rg_name_0 = "RG_0"
rg_name_1 = "RG_1"
# coll name
coll_name_1 = "ResourceGroup_111"
coll_... | milvus/tests/python_client/chaos/testcases/test_chaos_resource_group.py/0 | {
"file_path": "milvus/tests/python_client/chaos/testcases/test_chaos_resource_group.py",
"repo_id": "milvus",
"token_count": 5127
} | 2,175 |
from typing import List, Optional
import aiohttp
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class DataberryRetriever(BaseRetriev... | langchain/libs/community/langchain_community/retrievers/databerry.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/databerry.py",
"repo_id": "langchain",
"token_count": 1247
} | 272 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/tree/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/tree/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,522 |
<jupyter_start><jupyter_text>Document Summary IndexThis demo showcases the document summary index, over Wikipedia articles on different cities.The document summary index will extract a summary from each document and store that summary, as well as all nodes corresponding to the document.Retrieval can be performed throug... | llama_index/docs/examples/index_structs/doc_summary/DocSummary.ipynb/0 | {
"file_path": "llama_index/docs/examples/index_structs/doc_summary/DocSummary.ipynb",
"repo_id": "llama_index",
"token_count": 2182
} | 1,104 |
#include <torch/extension.h>
#include "ATen/ATen.h"
typedef at::BFloat16 bf16;
void cuda_forward(int B, int T, int C, float *w, float *u, float *k, float *v, float *y);
void cuda_forward_bf16(int B, int T, int C, float *w, bf16 *u, bf16 *k, bf16 *v, bf16 *y);
void cuda_forward_with_state(int B, int T, int C, float *w,... | transformers/src/transformers/kernels/rwkv/wkv_op.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/rwkv/wkv_op.cpp",
"repo_id": "transformers",
"token_count": 1807
} | 565 |
export { insecureHash } from "./js-sha1/hash.js";
| langchainjs/langchain-core/src/utils/hash.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/hash.ts",
"repo_id": "langchainjs",
"token_count": 18
} | 845 |
import { AgentStep } from "@langchain/core/agents";
/**
* Construct the scratchpad that lets the agent continue its thought process.
* @param intermediateSteps
* @param observationPrefix
* @param llmPrefix
* @returns a string with the formatted observations and agent logs
*/
export function formatLogToString(
... | langchainjs/langchain/src/agents/format_scratchpad/log.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/format_scratchpad/log.ts",
"repo_id": "langchainjs",
"token_count": 221
} | 941 |
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { ChatOpenAI } from "@langchain/openai";
import { createStructuredOutputRunnable } from "langchain/chains/openai_functions";
import { JsonOutputFunctionsParser } from "langchain/output_parsers";
const jsonSchema = {
title: "Person",
description: ... | langchainjs/examples/src/chains/openai_functions_json_schema.ts/0 | {
"file_path": "langchainjs/examples/src/chains/openai_functions_json_schema.ts",
"repo_id": "langchainjs",
"token_count": 411
} | 791 |
# Building Hardware Optimized ChromaDB Image
The default Chroma DB image comes with binary distribution of hnsw lib which is not optimized to take advantage of
certain CPU architectures (Intel-based) with AVX support. This can be improved by building an image with hnsw rebuilt
from source. To do that run:
```bash
doc... | chroma/examples/advanced/hadrware-optimized-image.md/0 | {
"file_path": "chroma/examples/advanced/hadrware-optimized-image.md",
"repo_id": "chroma",
"token_count": 108
} | 35 |
# Vercel KV
This example demonstrates how to setup chat history storage using the `VercelKVStore` `BaseStore` integration.
## Setup
```bash npm2yarn
npm install @vercel/kv
```
## Usage
import CodeBlock from "@theme/CodeBlock";
import Example from "@examples/stores/vercel_kv_storage.ts";
<CodeBlock language="types... | langchainjs/docs/core_docs/docs/integrations/stores/vercel_kv_storage.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/stores/vercel_kv_storage.mdx",
"repo_id": "langchainjs",
"token_count": 112
} | 788 |
"""Vector store index types."""
from enum import Enum
class ManagedIndexQueryMode(str, Enum):
"""Vector store query mode."""
DEFAULT = "default"
MMR = "mmr"
| llama_index/llama-index-legacy/llama_index/legacy/indices/managed/types.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/managed/types.py",
"repo_id": "llama_index",
"token_count": 59
} | 1,718 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::test_utils::to_vec0_round;
use candle::{Device, Result, Tensor};
/* Equivalent python code:
import torch
import torch.nn.functional as F
input = torch.tensor([
[ 1.1050, 0.3013, -1.5394, -... | candle/candle-nn/tests/loss.rs/0 | {
"file_path": "candle/candle-nn/tests/loss.rs",
"repo_id": "candle",
"token_count": 1344
} | 63 |
# 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_doctest_list.py/0 | {
"file_path": "transformers/utils/check_doctest_list.py",
"repo_id": "transformers",
"token_count": 1179
} | 844 |
"""GraphQL Reader."""
from typing import Dict, List, Optional
import yaml
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class GraphQLReader(BaseReader):
"""GraphQL reader.
Combines all GraphQL results into the Document used by LlamaIndex.
Args:
... | llama_index/llama-index-integrations/readers/llama-index-readers-graphql/llama_index/readers/graphql/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphql/llama_index/readers/graphql/base.py",
"repo_id": "llama_index",
"token_count": 905
} | 1,330 |
from llama_index.packs.ragatouille_retriever.base import RAGatouilleRetrieverPack
__all__ = ["RAGatouilleRetrieverPack"]
| llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/llama_index/packs/ragatouille_retriever/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/llama_index/packs/ragatouille_retriever/__init__.py",
"repo_id": "llama_index",
"token_count": 45
} | 1,678 |
# OpenAPI Tool
This tool loads an OpenAPI spec and allow the Agent to retrieve endpoints and details about endpoints. The RequestsToolSpec can also be laoded into the agent to allow the agent to hit the nessecary endpoints with a REST request.
## Usage
This tool has more extensive example usage documented in a Jupyt... | llama_index/llama-index-integrations/tools/llama-index-tools-openapi/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openapi/README.md",
"repo_id": "llama_index",
"token_count": 456
} | 1,521 |
"""Simple graph store index."""
import json
import logging
import os
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
import fsspec
from dataclasses_json import DataClassJsonMixin
from llama_index.core.graph_stores.types import (
DEFAULT_PERSIST_DIR,
DEFAULT_PERSIST_FNAME,... | llama_index/llama-index-core/llama_index/core/graph_stores/simple.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/graph_stores/simple.py",
"repo_id": "llama_index",
"token_count": 2770
} | 1,188 |
import json
from langchain_community.utilities import Portkey
def test_Config() -> None:
headers = Portkey.Config(
api_key="test_api_key",
environment="test_environment",
user="test_user",
organisation="test_organisation",
prompt="test_prompt",
retry_count=3,
... | langchain/libs/community/tests/integration_tests/utilities/test_portkey.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/utilities/test_portkey.py",
"repo_id": "langchain",
"token_count": 413
} | 370 |
"""The tokenizer used by the GPT-SW3 models."""
import os
import re
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import is_torch_available, logging
if is_torc... | transformers/src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py/0 | {
"file_path": "transformers/src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py",
"repo_id": "transformers",
"token_count": 6418
} | 673 |
# 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/src/peft/tuners/lora/layer.py/0 | {
"file_path": "peft/src/peft/tuners/lora/layer.py",
"repo_id": "peft",
"token_count": 14009
} | 336 |
python_sources()
| llama_index/llama-index-core/llama_index/core/query_pipeline/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_pipeline/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,145 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/objects/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/objects/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,163 |
# coding=utf-8
# Copyright 2022 Meta 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/LICENSE-2.0
#
#... | transformers/src/transformers/models/esm/modeling_esmfold.py/0 | {
"file_path": "transformers/src/transformers/models/esm/modeling_esmfold.py",
"repo_id": "transformers",
"token_count": 42462
} | 642 |
# coding=utf-8
# Copyright 2024 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... | diffusers/utils/check_copies.py/0 | {
"file_path": "diffusers/utils/check_copies.py",
"repo_id": "diffusers",
"token_count": 3397
} | 291 |
"""
Github readers utils.
This module contains utility functions for the Github readers.
"""
import asyncio
import os
import time
from abc import ABC, abstractmethod
from typing import List, Tuple
from llama_index.legacy.readers.github_readers.github_api_client import (
GitBlobResponseModel,
GithubClient,
... | llama_index/llama-index-legacy/llama_index/legacy/readers/github_readers/utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/github_readers/utils.py",
"repo_id": "llama_index",
"token_count": 2353
} | 1,607 |
<jupyter_start><jupyter_text>OpenClip[OpenClip](https://github.com/mlfoundations/open_clip/tree/main) is an source implementation of OpenAI's CLIP.These multi-modal embeddings can be used to embed images or text.<jupyter_code>%pip install --upgrade --quiet langchain-experimental
%pip install --upgrade --quiet pillow ... | langchain/docs/docs/integrations/text_embedding/open_clip.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/open_clip.ipynb",
"repo_id": "langchain",
"token_count": 1701
} | 178 |
# Generated content DO NOT EDIT
from .. import pre_tokenizers
PreTokenizer = pre_tokenizers.PreTokenizer
BertPreTokenizer = pre_tokenizers.BertPreTokenizer
ByteLevel = pre_tokenizers.ByteLevel
CharDelimiterSplit = pre_tokenizers.CharDelimiterSplit
Digits = pre_tokenizers.Digits
Metaspace = pre_tokenizers.Metaspace
Pun... | tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.py",
"repo_id": "tokenizers",
"token_count": 177
} | 422 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/query/SearchOnGrowing.cpp/0 | {
"file_path": "milvus/internal/core/src/query/SearchOnGrowing.cpp",
"repo_id": "milvus",
"token_count": 2947
} | 1,652 |
# Wordpress Loader
This loader fetches the text from Wordpress blog posts using the Wordpress API. It also uses the BeautifulSoup library to parse the HTML and extract the text from the articles.
## Usage
To use this loader, you need to pass base url of the Wordpress installation (e.g. `https://www.mysite.com`), a u... | llama_index/llama-index-integrations/readers/llama-index-readers-wordpress/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wordpress/README.md",
"repo_id": "llama_index",
"token_count": 312
} | 1,545 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/vitdet/configuration_vitdet.py/0 | {
"file_path": "transformers/src/transformers/models/vitdet/configuration_vitdet.py",
"repo_id": "transformers",
"token_count": 2892
} | 672 |
"""Combine documents by doing a first pass and then refining on more documents."""
from __future__ import annotations
from typing import Any, Dict, List, Tuple
from langchain_core.callbacks import Callbacks
from langchain_core.documents import Document
from langchain_core.prompts import BasePromptTemplate, format_do... | langchain/libs/langchain/langchain/chains/combine_documents/refine.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/combine_documents/refine.py",
"repo_id": "langchain",
"token_count": 3687
} | 486 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/tasks/audio_classification.md/0 | {
"file_path": "transformers/docs/source/en/tasks/audio_classification.md",
"repo_id": "transformers",
"token_count": 4267
} | 524 |
use std::fmt::Debug;
use std::sync::Arc;
use futures::Stream;
use futures::StreamExt;
use tokio::runtime::Builder;
use tokio::{pin, select};
use super::ComponentRuntime;
// use super::executor::StreamComponentExecutor;
use super::sender::{self, Sender, Wrapper};
use super::{executor, ComponentContext};
use super::{ex... | chroma/rust/worker/src/system/system.rs/0 | {
"file_path": "chroma/rust/worker/src/system/system.rs",
"repo_id": "chroma",
"token_count": 1907
} | 63 |
# Time-Weighted Retriever
A Time-Weighted Retriever is a retriever that takes into account recency in addition to similarity. The scoring algorithm is:
```typescript
let score = (1.0 - this.decayRate) ** hoursPassed + vectorRelevance;
```
Notably, `hoursPassed` above refers to the time since the object in the retrie... | langchainjs/docs/core_docs/docs/integrations/retrievers/time-weighted-retriever.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/retrievers/time-weighted-retriever.mdx",
"repo_id": "langchainjs",
"token_count": 388
} | 712 |
cff-version: "1.2.0"
date-released: 2020-10
message: "If you use this software, please cite it using these metadata."
title: "Transformers: State-of-the-Art Natural Language Processing"
url: "https://github.com/huggingface/transformers"
authors:
- family-names: Wolf
given-names: Thomas
- family-names: Debut
... | transformers/CITATION.cff/0 | {
"file_path": "transformers/CITATION.cff",
"repo_id": "transformers",
"token_count": 824
} | 466 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/pt/quicktour.md/0 | {
"file_path": "diffusers/docs/source/pt/quicktour.md",
"repo_id": "diffusers",
"token_count": 6766
} | 184 |
import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
import { ChatOpenAI } from "@langchain/openai";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
import { pull } from "langchain/hub";
import { AgentExec... | langchainjs/examples/src/agents/openai_functions.ts/0 | {
"file_path": "langchainjs/examples/src/agents/openai_functions.ts",
"repo_id": "langchainjs",
"token_count": 427
} | 811 |
from typing import Any, Callable, List, Literal, Optional, Type
import pytest
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool, tool
from langchain_core.utils.function_calling import convert_to_openai_function
@pytest.fixture()
def pydantic() -> Type[BaseModel]:
... | langchain/libs/core/tests/unit_tests/utils/test_function_calling.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/utils/test_function_calling.py",
"repo_id": "langchain",
"token_count": 1105
} | 433 |
---
hide_table_of_contents: true
---
# Contextual compression
One challenge with retrieval is that usually you don't know the specific queries your document storage system will face when you ingest data into the system. This means that the information most relevant to a query may be buried in a document with a lot of... | langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/contextual_compression.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/contextual_compression.mdx",
"repo_id": "langchainjs",
"token_count": 903
} | 756 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-yelp/llama_index/tools/yelp/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yelp/llama_index/tools/yelp/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,539 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,544 |
//! Embedding Layer.
use candle::{Result, Tensor};
#[derive(Clone, Debug)]
pub struct Embedding {
embeddings: Tensor,
hidden_size: usize,
}
impl Embedding {
pub fn new(embeddings: Tensor, hidden_size: usize) -> Self {
Self {
embeddings,
hidden_size,
}
}
pub... | candle/candle-nn/src/embedding.rs/0 | {
"file_path": "candle/candle-nn/src/embedding.rs",
"repo_id": "candle",
"token_count": 571
} | 62 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/research_projects/jax-projects/hybrid_clip/README.md/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/hybrid_clip/README.md",
"repo_id": "transformers",
"token_count": 2302
} | 563 |
<jupyter_start><jupyter_text>Fine-tune large models using 🤗 `peft` adapters, `transformers` & `bitsandbytes`In this tutorial we will cover how we can fine-tune large language models using the very recent `peft` library and `bitsandbytes` for loading large models in 8-bit.The fine-tuning method will rely on a recent me... | peft/examples/int8_training/Finetune_opt_bnb_peft.ipynb/0 | {
"file_path": "peft/examples/int8_training/Finetune_opt_bnb_peft.ipynb",
"repo_id": "peft",
"token_count": 2723
} | 300 |
package httpserver
import (
"encoding/json"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
func TestFieldData_AsSchemapb(t *testing.T) {
t.Run("varchar_ok", func(t *testing.T) {
fieldData := Field... | milvus/internal/distributed/proxy/httpserver/wrap_request_test.go/0 | {
"file_path": "milvus/internal/distributed/proxy/httpserver/wrap_request_test.go",
"repo_id": "milvus",
"token_count": 3579
} | 1,789 |
"""ChatModel wrapper which returns user input as the response.."""
from io import StringIO
from typing import Any, Callable, Dict, List, Mapping, Optional
import yaml
from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import BaseChatModel
from langch... | langchain/libs/community/langchain_community/chat_models/human.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/human.py",
"repo_id": "langchain",
"token_count": 1531
} | 236 |
//! Datasets & Dataloaders for Candle
pub mod batcher;
pub mod hub;
pub mod nlp;
pub mod vision;
pub use batcher::Batcher;
| candle/candle-datasets/src/lib.rs/0 | {
"file_path": "candle/candle-datasets/src/lib.rs",
"repo_id": "candle",
"token_count": 45
} | 41 |
<!--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/clvp.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/clvp.md",
"repo_id": "transformers",
"token_count": 1339
} | 479 |
"""Download llama-pack as template."""
import logging
import os
import subprocess
import sys
from importlib import util
from pathlib import Path
from typing import Any, Optional, Union
import requests
from llama_index.core.download.utils import (
ChangeDirectory,
get_file_content,
get_source_files_list,
... | llama_index/llama-index-core/llama_index/core/download/pack.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/download/pack.py",
"repo_id": "llama_index",
"token_count": 2065
} | 1,170 |
from llama_index.callbacks.promptlayer.base import PromptLayerHandler
__all__ = ["PromptLayerHandler"]
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,348 |
from langchain_community.retrievers.tfidf import TFIDFRetriever
__all__ = ["TFIDFRetriever"]
| langchain/libs/langchain/langchain/retrievers/tfidf.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/tfidf.py",
"repo_id": "langchain",
"token_count": 35
} | 537 |
# Scripts and Tools
The following scripts and commands may be used during segcore development.
## code format
- under milvus/internal/core directory
- run `./run_clang_format .` to format cpp code
- to call clang-format-10, need to install `apt install clang-format-10` in advance
- call `build-support/add_... | milvus/docs/design_docs/segcore/scripts_and_tools.md/0 | {
"file_path": "milvus/docs/design_docs/segcore/scripts_and_tools.md",
"repo_id": "milvus",
"token_count": 205
} | 1,736 |
"""Tool for the Nuclia Understanding API.
Installation:
```bash
pip install --upgrade protobuf
pip install nucliadb-protos
```
"""
import asyncio
import base64
import logging
import mimetypes
import os
from typing import Any, Dict, Optional, Type, Union
import requests
from langchain_core.callbacks import (... | langchain/libs/community/langchain_community/tools/nuclia/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/nuclia/tool.py",
"repo_id": "langchain",
"token_count": 3835
} | 289 |
- name: datanode
docker_container:
name: datanode
image: "{{image}}"
command: "milvus run datanode"
env:
ETCD_ENDPOINTS: "{{ETCD_ENDPOINTS}}"
MINIO_ADDRESS: "{{MINIO_ADDRESS}}"
PULSAR_ADDRESS: "{{PULSAR_ADDRESS}}"
METRICS_PORT: "9092"
network_mode: "{{nodes_network}}" #Use... | milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-datanode/tasks/main.yml/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-datanode/tasks/main.yml",
"repo_id": "milvus",
"token_count": 174
} | 1,717 |
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { RetrievalQAChain, loadQAMapReduceChain } from "langchain/chains";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
// Initialize... | langchainjs/examples/src/chains/retrieval_qa_custom_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/retrieval_qa_custom_legacy.ts",
"repo_id": "langchainjs",
"token_count": 447
} | 779 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/whisper/test_feature_extraction_whisper.py/0 | {
"file_path": "transformers/tests/models/whisper/test_feature_extraction_whisper.py",
"repo_id": "transformers",
"token_count": 5032
} | 825 |
# 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 applicabl... | transformers/tests/utils/test_dynamic_module_utils.py/0 | {
"file_path": "transformers/tests/utils/test_dynamic_module_utils.py",
"repo_id": "transformers",
"token_count": 918
} | 795 |
<jupyter_start><jupyter_text>Multi-Modal LLM using Google's Gemini model for image understanding and build Retrieval Augmented Generation with LlamaIndexIn this notebook, we show how to use Google's Gemini Vision models for image understanding.First, we show several functions we are now supporting for Gemini:* `complet... | llama_index/docs/examples/multi_modal/gemini.ipynb/0 | {
"file_path": "llama_index/docs/examples/multi_modal/gemini.ipynb",
"repo_id": "llama_index",
"token_count": 3799
} | 1,115 |
import * as fs from "fs";
import * as path from "path";
// This lists all the entrypoints for the library. Each key corresponds to an
// importable path, eg. `import { Foo } from "langsmith/client"`.
// The value is the path to the file in `src/` that exports the entrypoint.
// This is used to generate the `exports` f... | langsmith-sdk/js/scripts/create-entrypoints.js/0 | {
"file_path": "langsmith-sdk/js/scripts/create-entrypoints.js",
"repo_id": "langsmith-sdk",
"token_count": 1363
} | 1,025 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 20,
"prefill": [
{
"id": 589,
"logprob": null,
"text": "def"
},
{
"id": 3226,
"logprob": -8.5859375,
"text": " ge"
},
{
"id": 2... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq.json",
"repo_id": "text-generation-inference",
"token_count": 2389
} | 365 |
"""Hybrid Fusion Retriever Pack."""
import os
from typing import Any, Dict, List
from llama_index.core.indices.service_context import ServiceContext
from llama_index.core.indices.vector_store import VectorStoreIndex
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.query_engine import Re... | llama_index/llama-index-packs/llama-index-packs-fusion-retriever/llama_index/packs/fusion_retriever/hybrid_fusion/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/llama_index/packs/fusion_retriever/hybrid_fusion/base.py",
"repo_id": "llama_index",
"token_count": 1442
} | 1,787 |
from neo4j_semantic_layer import agent_executor
if __name__ == "__main__":
original_query = "What do you know about person John?"
followup_query = "John Travolta"
chat_history = [
(
"What do you know about person John?",
"I found multiple people named John. Could you please ... | langchain/templates/neo4j-semantic-layer/main.py/0 | {
"file_path": "langchain/templates/neo4j-semantic-layer/main.py",
"repo_id": "langchain",
"token_count": 273
} | 699 |
# ruff: noqa
# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICE... | datasets/src/datasets/__init__.py/0 | {
"file_path": "datasets/src/datasets/__init__.py",
"repo_id": "datasets",
"token_count": 772
} | 137 |
# MobileNet v2
**MobileNetV2** is a convolutional neural network architecture that seeks to perform well on mobile devices. It is based on an [inverted residual structure](https://paperswithcode.com/method/inverted-residual-block) where the residual connections are between the bottleneck layers. The intermediate expa... | pytorch-image-models/docs/models/.templates/models/mobilenet-v2.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/mobilenet-v2.md",
"repo_id": "pytorch-image-models",
"token_count": 2583
} | 338 |
Knowledge Graph Query Engine
============================
.. automodule:: llama_index.core.query_engine.knowledge_graph_query_engine
:members:
:inherited-members:
| llama_index/docs/api_reference/query/query_engines/knowledge_graph_query_engine.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/query_engines/knowledge_graph_query_engine.rst",
"repo_id": "llama_index",
"token_count": 50
} | 1,038 |
"""Test recursive queries."""
import asyncio
from typing import Any, Dict, List
import pytest
from llama_index.legacy.data_structs.data_structs import IndexStruct
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.indices.composability.graph import ComposableGraph
from llama_index.le... | llama_index/llama-index-legacy/tests/indices/query/test_compose_vector.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/test_compose_vector.py",
"repo_id": "llama_index",
"token_count": 5659
} | 1,662 |
# How do Unity ML-Agents work? [[how-mlagents-works]]
Before training our agent, we need to understand **what ML-Agents is and how it works**.
## What is Unity ML-Agents? [[what-is-mlagents]]
[Unity ML-Agents](https://github.com/Unity-Technologies/ml-agents) is a toolkit for the game engine Unity that **allows us to... | deep-rl-class/units/en/unit5/how-mlagents-works.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit5/how-mlagents-works.mdx",
"repo_id": "deep-rl-class",
"token_count": 1276
} | 161 |
from typing import Any, Dict, Tuple
import pytest
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
)
from langchain.retrievers.self_query.milvus import MilvusTranslator
DEFAULT_TRANSLATOR = MilvusTranslator()
@pytest.mark.parametr... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_milvus.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_milvus.py",
"repo_id": "langchain",
"token_count": 1557
} | 612 |
// 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/index_builder_test.go/0 | {
"file_path": "milvus/internal/datacoord/index_builder_test.go",
"repo_id": "milvus",
"token_count": 20370
} | 1,692 |
<jupyter_start><jupyter_text>Fast tokenizers in the QA pipeline (PyTorch) Installez les bibliothèques 🤗 *Transformers* et 🤗 *Datasets* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
from transformers import pipeline
question_answerer = pipeline("question-answering", model... | notebooks/course/fr/chapter6/section3b_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter6/section3b_pt.ipynb",
"repo_id": "notebooks",
"token_count": 2740
} | 313 |
# LlamaIndex Postprocessor Integration: Longllmlingua
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,436 |
"""Init params."""
| llama_index/llama-index-legacy/llama_index/legacy/indices/common/struct_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/common/struct_store/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,658 |
import json
from typing import Any, Callable, Dict, List, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatR... | llama_index/llama-index-legacy/llama_index/legacy/llms/vllm.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/vllm.py",
"repo_id": "llama_index",
"token_count": 6310
} | 1,580 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 The Microsoft 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.apac... | transformers/examples/research_projects/tapex/run_tabfact_with_tapex.py/0 | {
"file_path": "transformers/examples/research_projects/tapex/run_tabfact_with_tapex.py",
"repo_id": "transformers",
"token_count": 7840
} | 604 |
accuracy:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_50m_128_l2_sq8
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
gpu_resou... | milvus/tests/benchmark/milvus_benchmark/suites/011_sift50m_acc.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_sift50m_acc.yaml",
"repo_id": "milvus",
"token_count": 318
} | 1,876 |
python_sources()
python_test_utils(
name="test_utils",
)
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/indices/document_summary/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/document_summary/BUILD",
"repo_id": "llama_index",
"token_count": 52
} | 1,796 |
"""OpenAI chat wrapper."""
from __future__ import annotations
import logging
import os
import sys
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Sequence,
Tuple,
Type,
TypedDict,
Union,
cast,
)
import op... | langchain/libs/partners/openai/langchain_openai/chat_models/base.py/0 | {
"file_path": "langchain/libs/partners/openai/langchain_openai/chat_models/base.py",
"repo_id": "langchain",
"token_count": 12321
} | 637 |
<jupyter_start><jupyter_text>Multiple callback handlersIn the previous examples, we passed in callback handlers upon creation of an object by using `callbacks=`. In this case, the callbacks will be scoped to that particular object. However, in many cases, it is advantageous to pass in handlers instead when running the ... | langchain/docs/docs/modules/callbacks/multiple_callbacks.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/callbacks/multiple_callbacks.ipynb",
"repo_id": "langchain",
"token_count": 1346
} | 204 |
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