text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<!--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/ko/hpo_train.md/0 | {
"file_path": "transformers/docs/source/ko/hpo_train.md",
"repo_id": "transformers",
"token_count": 3520
} | 526 |
<jupyter_start><jupyter_text>BoardDocs CrawlLet's figure out how to crawl BoardDocs!We'll try the Redwood City School District site using BeautifulSoup.https://go.boarddocs.com/ca/redwood/Board.nsf/Public<jupyter_code># Each site may contain multiple committees, we have to pick which we want to index
# For example, RCS... | llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/examples/crawl.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/examples/crawl.ipynb",
"repo_id": "llama_index",
"token_count": 2838
} | 1,385 |
# 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/tokenization_esm.py/0 | {
"file_path": "transformers/src/transformers/models/esm/tokenization_esm.py",
"repo_id": "transformers",
"token_count": 2598
} | 601 |
import pickle
import pytest
from tokenizers.models import BPE, Model, WordLevel, WordPiece
from ..utils import bert_files, data_dir, roberta_files
class TestBPE:
def test_instantiate(self, roberta_files):
assert isinstance(BPE(), Model)
assert isinstance(BPE(), BPE)
vocab = {"a": 0, "b... | tokenizers/bindings/python/tests/bindings/test_models.py/0 | {
"file_path": "tokenizers/bindings/python/tests/bindings/test_models.py",
"repo_id": "tokenizers",
"token_count": 2254
} | 452 |
# LlamaIndex Program Integration: Evaporate
| llama_index/llama-index-integrations/program/llama-index-program-evaporate/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-evaporate/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,252 |
FROM opensearchproject/opensearch-dashboards:2.10.0
RUN /usr/share/opensearch-dashboards/bin/opensearch-dashboards-plugin remove securityDashboards
COPY --chown=opensearch-dashboards:opensearch-dashboards opensearch_dashboards.yml /usr/share/opensearch-dashboards/config/ | langchain/libs/community/tests/integration_tests/vectorstores/docker-compose/opensearch/opensearch-dashboards-no-security.Dockerfile/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/docker-compose/opensearch/opensearch-dashboards-no-security.Dockerfile",
"repo_id": "langchain",
"token_count": 92
} | 353 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/openai-gpt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/openai-gpt.md",
"repo_id": "transformers",
"token_count": 2422
} | 482 |
# langchain-core
## 0.1.7 (Jan 5, 2024)
#### Deleted
No deletions.
#### Deprecated
- `BaseChatModel` methods `__call__`, `call_as_llm`, `predict`, `predict_messages`. Will be removed in 0.2.0. Use `BaseChatModel.invoke` instead.
- `BaseChatModel` methods `apredict`, `apredict_messages`. Will be removed in 0.2.0. U... | langchain/docs/docs/changelog/core.mdx/0 | {
"file_path": "langchain/docs/docs/changelog/core.mdx",
"repo_id": "langchain",
"token_count": 335
} | 87 |
"""Airtable reader."""
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from pyairtable import Table
class AirtableReader(BaseReader):
"""Airtable reader. Reads data from a table in a base.
Args:
api_key (str): Airtable API key... | llama_index/llama-index-integrations/readers/llama-index-readers-airtable/llama_index/readers/airtable/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airtable/llama_index/readers/airtable/base.py",
"repo_id": "llama_index",
"token_count": 378
} | 1,459 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/mobilevitv2/test_modeling_mobilevitv2.py/0 | {
"file_path": "transformers/tests/models/mobilevitv2/test_modeling_mobilevitv2.py",
"repo_id": "transformers",
"token_count": 6229
} | 827 |
# Rockset
>[Rockset](https://rockset.com/product/) is a real-time analytics database service for serving low latency, high concurrency analytical queries at scale. It builds a Converged Indexโข on structured and semi-structured data with an efficient store for vector embeddings. Its support for running SQL on schemales... | langchain/docs/docs/integrations/providers/rockset.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/rockset.mdx",
"repo_id": "langchain",
"token_count": 311
} | 144 |
from langserve.lzstring import LZString
def test_lzstring() -> None:
s = "ลฝluลฅouฤkรฝ kลฏล รบpฤl ฤรกbelskรฉ รณdy!"
# generated with original js lib
jsLzStringBase64 = (
"r6ABsK6KaAD2aLCADWBfgBPQ9oCAlAZAvgDobEARlB4QAEOAjAUxAGd4BL5AZ4BMBPAQiA=="
)
jsLzStringBase64Json = "N4Ig5gNg9gzjCGAnAniAXKALgS... | langserve/tests/unit_tests/test_lzstring.py/0 | {
"file_path": "langserve/tests/unit_tests/test_lzstring.py",
"repo_id": "langserve",
"token_count": 732
} | 1,051 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/channel_manager.go/0 | {
"file_path": "milvus/internal/datanode/channel_manager.go",
"repo_id": "milvus",
"token_count": 4963
} | 1,969 |
import json
import logging
from typing import Any, List, Optional, Sequence
from sqlalchemy.pool import QueuePool
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
BaseNode,
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from ll... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/singlestoredb.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/singlestoredb.py",
"repo_id": "llama_index",
"token_count": 4467
} | 1,612 |
import { createClient } from "@supabase/supabase-js";
if (!process.env.NEXT_PUBLIC_SUPABASE_URL) {
throw new Error("Missing NEXT_PUBLIC_SUPABASE_URL");
}
if (!process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY) {
throw new Error("Missing NEXT_PUBLIC_SUPABASE_ANON_KEY");
}
export const supabase = createClient(
process.e... | langchain-template-supabase/src/lib/supabase-client.ts/0 | {
"file_path": "langchain-template-supabase/src/lib/supabase-client.ts",
"repo_id": "langchain-template-supabase",
"token_count": 160
} | 65 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Tool } from "@langchain/core/tools";
/**
* A tool for web search functionality using Bing's search engine. It
* extends the base `Tool` class and implements the `_call` method to
* perform the search operation. Requires an API key for Bing... | langchainjs/libs/langchain-community/src/tools/bingserpapi.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/bingserpapi.ts",
"repo_id": "langchainjs",
"token_count": 708
} | 1,072 |
package connection
import (
"context"
"fmt"
"strconv"
"go.uber.org/zap"
"google.golang.org/grpc"
"google.golang.org/grpc/metadata"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus/pkg/util"
"github.com/milvus-io/milvus/pkg/util/funcutil"
)
func ZapClientInfo(info *commonp... | milvus/internal/proxy/connection/util.go/0 | {
"file_path": "milvus/internal/proxy/connection/util.go",
"repo_id": "milvus",
"token_count": 683
} | 2,014 |
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.bert.modeling_bert import (
BERT_INPUTS_DOCSTRING,
BERT_START_DOCSTRING,
BertEmbeddings,
BertLayer,
... | transformers/examples/research_projects/deebert/src/modeling_highway_bert.py/0 | {
"file_path": "transformers/examples/research_projects/deebert/src/modeling_highway_bert.py",
"repo_id": "transformers",
"token_count": 7800
} | 534 |
from rag_conversation.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-conversation/rag_conversation/__init__.py/0 | {
"file_path": "langchain/templates/rag-conversation/rag_conversation/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 673 |
import logging
import random
import ray
from transformers import RagConfig, RagRetriever, RagTokenizer
from transformers.models.rag.retrieval_rag import CustomHFIndex
logger = logging.getLogger(__name__)
class RayRetriever:
def __init__(self):
self.initialized = False
def create_rag_retriever(sel... | transformers/examples/research_projects/rag-end2end-retriever/distributed_ray_retriever.py/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/distributed_ray_retriever.py",
"repo_id": "transformers",
"token_count": 3358
} | 611 |
# Tencent
>[Tencent Holdings Ltd. (Wikipedia)](https://en.wikipedia.org/wiki/Tencent) (Chinese: ่
พ่ฎฏ; pinyin: Tรฉngxรนn)
> is a Chinese multinational technology conglomerate and holding company headquartered
> in Shenzhen. `Tencent` is one of the highest grossing multimedia companies in the
> world based on revenue. It... | langchain/docs/docs/integrations/providers/tencent.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/tencent.mdx",
"repo_id": "langchain",
"token_count": 851
} | 154 |
<!--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/en/optimization/open_vino.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/open_vino.md",
"repo_id": "diffusers",
"token_count": 1109
} | 185 |
"""Serialization for well known objects and callback events.
Specialized JSON serialization for well known LangChain objects that
can be expected to be frequently transmitted between chains.
Callback events handle well known objects together with a few other
common types like UUIDs and Exceptions that might appear in... | langserve/langserve/serialization.py/0 | {
"file_path": "langserve/langserve/serialization.py",
"repo_id": "langserve",
"token_count": 2705
} | 1,049 |
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 import Ba... | langchain/templates/rag-chroma/rag_chroma/chain.py/0 | {
"file_path": "langchain/templates/rag-chroma/rag_chroma/chain.py",
"repo_id": "langchain",
"token_count": 668
} | 677 |
## 8 Binlog
InsertBinlogใDeleteBinlogใDDLBinlog
Binlog is stored in a columnar storage format, every column in schema is stored in an individual file.
Timestamp, schema, row id and primary key allocated by system are four special columns.
Schema column records the DDL of the collection.
## Event format
Binlog file ... | milvus/docs/developer_guides/chap08_binlog.md/0 | {
"file_path": "milvus/docs/developer_guides/chap08_binlog.md",
"repo_id": "milvus",
"token_count": 3554
} | 1,646 |
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFGPT2LMHeadModel, is_keras_nlp_available, is_tf_available
from transformers.models.gpt2.tokenization_gpt2 import GPT2Tokenizer
from transformers.testing_utils import require_keras_nlp, require_tf, slo... | transformers/tests/models/gpt2/test_tokenization_gpt2_tf.py/0 | {
"file_path": "transformers/tests/models/gpt2/test_tokenization_gpt2_tf.py",
"repo_id": "transformers",
"token_count": 2520
} | 748 |
import argparse
import hashlib
import os
import mxnet as mx
import gluoncv
import torch
from timm import create_model
parser = argparse.ArgumentParser(description='Convert from MXNet')
parser.add_argument('--model', default='all', type=str, metavar='MODEL',
help='Name of model to train (default: "... | pytorch-image-models/convert/convert_from_mxnet.py/0 | {
"file_path": "pytorch-image-models/convert/convert_from_mxnet.py",
"repo_id": "pytorch-image-models",
"token_count": 1786
} | 343 |
# Metric Card for METEOR
## Metric description
METEOR (Metric for Evaluation of Translation with Explicit ORdering) is a machine translation evaluation metric, which is calculated based on the harmonic mean of precision and recall, with recall weighted more than precision.
METEOR is based on a generalized concept o... | datasets/metrics/meteor/README.md/0 | {
"file_path": "datasets/metrics/meteor/README.md",
"repo_id": "datasets",
"token_count": 1340
} | 131 |
# Creating a WASM app
| candle/candle-book/src/apps/wasm.md/0 | {
"file_path": "candle/candle-book/src/apps/wasm.md",
"repo_id": "candle",
"token_count": 7
} | 29 |
from langchain_community.retrievers.zep import SearchScope, SearchType, ZepRetriever
__all__ = ["SearchScope", "SearchType", "ZepRetriever"]
| langchain/libs/langchain/langchain/retrievers/zep.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/zep.py",
"repo_id": "langchain",
"token_count": 46
} | 536 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,575 |
console.warn(
`[WARNING]: The root "langchain" entrypoint is empty. Please use a specific entrypoint instead.`
);
| langchainjs/langchain/src/index.ts/0 | {
"file_path": "langchainjs/langchain/src/index.ts",
"repo_id": "langchainjs",
"token_count": 33
} | 942 |
import { getEnvironmentVariable } from "./env.js";
export function logVersion010MigrationWarning({
oldEntrypointName,
newEntrypointName,
newPackageName = "@langchain/community",
}: {
oldEntrypointName: string;
newEntrypointName?: string;
newPackageName?: string;
}) {
let finalEntrypointName = "";
if (n... | langchainjs/langchain/src/util/entrypoint_deprecation.ts/0 | {
"file_path": "langchainjs/langchain/src/util/entrypoint_deprecation.ts",
"repo_id": "langchainjs",
"token_count": 500
} | 977 |
.heading2Xl {
font-size: 2.5rem;
line-height: 1.2;
font-weight: 800;
letter-spacing: -0.05rem;
margin: 1rem 0;
}
.headingXl {
font-size: 2rem;
line-height: 1.3;
font-weight: 800;
letter-spacing: -0.05rem;
margin: 1rem 0;
}
.headingLg {
font-size: 1.5rem;
line-height: 1.4;
margin: 1rem 0;
}
... | auto-evaluator/nextjs/styles/utils.module.css/0 | {
"file_path": "auto-evaluator/nextjs/styles/utils.module.css",
"repo_id": "auto-evaluator",
"token_count": 298
} | 4 |
"""Test ChatYuan2 wrapper."""
from typing import List
import pytest
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage
from langchain_core.outputs import (
ChatGeneration,
LLMResult,
)
from langchain_community.chat_models.yuan2 imp... | langchain/libs/community/tests/integration_tests/chat_models/test_yuan2.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_yuan2.py",
"repo_id": "langchain",
"token_count": 1884
} | 345 |
export {
BaseCallbackHandler,
type CallbackHandlerMethods,
type BaseCallbackHandlerInput,
type NewTokenIndices,
} from "./base.js";
export { type Run, type RunType, BaseTracer } from "./handlers/tracer.js";
export { ConsoleCallbackHandler } from "./handlers/console.js";
export { RunCollectorCallbackHandler }... | langchainjs/langchain/src/callbacks/index.ts/0 | {
"file_path": "langchainjs/langchain/src/callbacks/index.ts",
"repo_id": "langchainjs",
"token_count": 265
} | 887 |
# Generated content DO NOT EDIT
class Decoder:
"""
Base class for all decoders
This class is not supposed to be instantiated directly. Instead, any implementation of
a Decoder will return an instance of this class when instantiated.
"""
def decode(self, tokens):
"""
Decode the ... | tokenizers/bindings/python/py_src/tokenizers/decoders/__init__.pyi/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/decoders/__init__.pyi",
"repo_id": "tokenizers",
"token_count": 3115
} | 457 |
[tool.poetry]
name = "propositional-retrieval"
version = "0.1.0"
description = "Dense retrieval using vectorized propositions."
authors = [
"William Fu-Hinthorn <will@langchain.dev>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
tiktoken = ">=0.5.1"
chr... | langchain/templates/propositional-retrieval/pyproject.toml/0 | {
"file_path": "langchain/templates/propositional-retrieval/pyproject.toml",
"repo_id": "langchain",
"token_count": 316
} | 664 |
import re
from typing import Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain.agents.agent import AgentOutputParser
class ReActOutputParser(AgentOutputParser):
"""Output parser for the ReAct agent."""
def parse(self,... | langchain/libs/langchain/langchain/agents/react/output_parser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/react/output_parser.py",
"repo_id": "langchain",
"token_count": 485
} | 471 |
"""Test components."""
from typing import Any, List, Sequence
import pytest
from llama_index.core.base.base_selector import (
BaseSelector,
MultiSelection,
SelectorResult,
SingleSelection,
)
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.query_pipeline.components.argpac... | llama_index/llama-index-core/tests/query_pipeline/test_components.py/0 | {
"file_path": "llama_index/llama-index-core/tests/query_pipeline/test_components.py",
"repo_id": "llama_index",
"token_count": 1899
} | 1,274 |
[package]
name = "text-generation-client"
version.workspace = true
edition.workspace = true
authors.workspace = true
homepage.workspace = true
[dependencies]
futures = "^0.3"
grpc-metadata = { path = "../grpc-metadata" }
prost = "^0.12"
thiserror = "^1.0"
tokio = { version = "^1.32", features = ["sync"] }
tonic = "^0.... | text-generation-inference/router/client/Cargo.toml/0 | {
"file_path": "text-generation-inference/router/client/Cargo.toml",
"repo_id": "text-generation-inference",
"token_count": 180
} | 392 |
# TigerGraph
This page covers how to use the TigerGraph ecosystem within LangChain.
What is TigerGraph?
**TigerGraph in a nutshell:**
- TigerGraph is a natively distributed and high-performance graph database.
- The storage of data in a graph format of vertices and edges leads to rich relationships, ideal for groud... | langchain/docs/docs/integrations/providers/tigergraph.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/tigergraph.mdx",
"repo_id": "langchain",
"token_count": 319
} | 151 |
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
export function buildSubtree(
conv: Pick<Conversation, "messages" | "rootMessageId">,
id: Message["id"]
): Message[] {
if (!conv.rootMessageId) {
if (conv.messages.length === 0) return [];
// legacy c... | chat-ui/src/lib/utils/tree/buildSubtree.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/buildSubtree.ts",
"repo_id": "chat-ui",
"token_count": 329
} | 105 |
export {
type ViolationOfExpectationsChainInput,
ViolationOfExpectationsChain,
} from "./violation_of_expectations_chain.js";
| langchainjs/langchain/src/experimental/chains/violation_of_expectations/index.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/chains/violation_of_expectations/index.ts",
"repo_id": "langchainjs",
"token_count": 43
} | 920 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/tests/test_utils.py/0 | {
"file_path": "accelerate/tests/test_utils.py",
"repo_id": "accelerate",
"token_count": 5482
} | 20 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/readers/file/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/file/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,517 |
"""Relevancy evaluation."""
from __future__ import annotations
import asyncio
import re
from typing import Any, Callable, Optional, Sequence, Tuple
from llama_index.core import ServiceContext
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.llms.llm import LLM
from ll... | llama_index/llama-index-core/llama_index/core/evaluation/answer_relevancy.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/answer_relevancy.py",
"repo_id": "llama_index",
"token_count": 2124
} | 1,121 |
import os
import tempfile
from typing import List, Union
import streamlit as st
import tiktoken
from langchain.text_splitter import (
CharacterTextSplitter,
RecursiveCharacterTextSplitter,
)
from langchain.text_splitter import (
TextSplitter as LCSplitter,
)
from langchain.text_splitter import TokenTextSpl... | llama_index/experimental/splitter_playground/app.py/0 | {
"file_path": "llama_index/experimental/splitter_playground/app.py",
"repo_id": "llama_index",
"token_count": 1900
} | 1,114 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/mega/convert_mega_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/mega/convert_mega_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4993
} | 691 |
from llama_index.vector_stores.clickhouse.base import ClickHouseVectorStore
__all__ = ["ClickHouseVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,516 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/tf_utils.py/0 | {
"file_path": "transformers/src/transformers/tf_utils.py",
"repo_id": "transformers",
"token_count": 3894
} | 704 |
<jupyter_start><jupyter_text>Context-Augmented OpenAI Agent In this tutorial, we show you how to use our `ContextRetrieverOpenAIAgent` implementationto build an agent on top of OpenAI's function API and store/index an arbitrary number of tools. Our indexing/retrieval modules help to remove the complexity of having too ... | llama_index/docs/examples/agent/openai_agent_context_retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_agent_context_retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 2201
} | 1,088 |
import { BaseMessage, ChatMessage } from "@langchain/core/messages";
import { ChatResult, ChatGeneration } from "@langchain/core/outputs";
import {
BaseChatModel,
BaseChatModelParams,
} from "@langchain/core/language_models/chat_models";
export interface BittensorInput extends BaseChatModelParams {
systemPrompt?... | langchainjs/langchain/src/experimental/chat_models/bittensor.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/chat_models/bittensor.ts",
"repo_id": "langchainjs",
"token_count": 2247
} | 936 |
from __future__ import annotations
import logging
import os
from typing import Any, Dict, Optional, Union
import requests
from langchain_core._api import deprecated
from langchain_core.messages import get_buffer_string
from langchain_core.tracers.base import BaseTracer
from langchain_core.tracers.schemas import (
... | langchain/libs/core/langchain_core/tracers/langchain_v1.py/0 | {
"file_path": "langchain/libs/core/langchain_core/tracers/langchain_v1.py",
"repo_id": "langchain",
"token_count": 3617
} | 421 |
// 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/util/merr/utils.go/0 | {
"file_path": "milvus/pkg/util/merr/utils.go",
"repo_id": "milvus",
"token_count": 8761
} | 1,911 |
"""Milvus Retriever"""
import warnings
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import root_validator
from langchain_cor... | langchain/libs/community/langchain_community/retrievers/milvus.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/milvus.py",
"repo_id": "langchain",
"token_count": 1047
} | 288 |
# Using Datasets with TensorFlow
This document is a quick introduction to using `datasets` with TensorFlow, with a particular focus on how to get
`tf.Tensor` objects out of our datasets, and how to stream data from Hugging Face `Dataset` objects to Keras methods
like `model.fit()`.
## Dataset format
By default, data... | datasets/docs/source/use_with_tensorflow.mdx/0 | {
"file_path": "datasets/docs/source/use_with_tensorflow.mdx",
"repo_id": "datasets",
"token_count": 3671
} | 125 |
<jupyter_start><jupyter_text>CohereAI Embeddings If you're opening this Notebook on colab, you will probably need to install LlamaIndex ๐ฆ.<jupyter_code>%pip install llama-index-llms-litellm
%pip install llama-index-embeddings-cohere
!pip install llama-index
# Initilise with your api key
import os
cohere_api_key = "YO... | llama_index/docs/examples/embeddings/cohereai.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/cohereai.ipynb",
"repo_id": "llama_index",
"token_count": 1651
} | 1,052 |
import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datasets.features import Array... | datasets/tests/test_arrow_writer.py/0 | {
"file_path": "datasets/tests/test_arrow_writer.py",
"repo_id": "datasets",
"token_count": 6236
} | 148 |
import glob
import importlib
from pathlib import Path
def test_importable_all() -> None:
for path in glob.glob("../community/langchain_community/*"):
relative_path = Path(path).parts[-1]
if relative_path.endswith(".typed"):
continue
module_name = relative_path.split(".")[0]
... | langchain/libs/community/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 213
} | 380 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/task_test.go/0 | {
"file_path": "milvus/internal/proxy/task_test.go",
"repo_id": "milvus",
"token_count": 45101
} | 1,969 |
#!/bin/bash
set -e # Exit immediately if a command exits with a non-zero status.
instance_name=$1
# Define the etcdctl command with endpoints option
etcdctl_cmd="etcdctl endpoint status -w table --endpoints"
# Get the ip of all the etcd pods with the specified labels
etcd_pods=$(kubectl get pods -l app.kubernetes.io/n... | milvus/tests/scripts/get_etcd_info.sh/0 | {
"file_path": "milvus/tests/scripts/get_etcd_info.sh",
"repo_id": "milvus",
"token_count": 247
} | 2,192 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py/0 | {
"file_path": "transformers/src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py",
"repo_id": "transformers",
"token_count": 13121
} | 694 |
from langchain_community.llms.gradient_ai import GradientLLM, TrainResult
__all__ = ["TrainResult", "GradientLLM"]
| langchain/libs/langchain/langchain/llms/gradient_ai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/gradient_ai.py",
"repo_id": "langchain",
"token_count": 37
} | 561 |
"""Test base LLM functionality."""
from sqlalchemy import Column, Integer, Sequence, String, create_engine
try:
from sqlalchemy.orm import declarative_base
except ImportError:
from sqlalchemy.ext.declarative import declarative_base
from langchain_core.outputs import Generation, LLMResult
from langchain.cache... | langchain/libs/langchain/tests/unit_tests/llms/test_base.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/llms/test_base.py",
"repo_id": "langchain",
"token_count": 1117
} | 606 |
FROM ontotext/graphdb:10.5.1
RUN mkdir -p /opt/graphdb/dist/data/repositories/langchain
COPY config.ttl /opt/graphdb/dist/data/repositories/langchain/
COPY graphdb_create.sh /run.sh
ENTRYPOINT bash /run.sh
| langchain/docker/graphdb/Dockerfile/0 | {
"file_path": "langchain/docker/graphdb/Dockerfile",
"repo_id": "langchain",
"token_count": 89
} | 83 |
# 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/tests/pipelines/test_pipelines_table_question_answering.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_table_question_answering.py",
"repo_id": "transformers",
"token_count": 14810
} | 761 |
// 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/FieldIndexing.h/0 | {
"file_path": "milvus/internal/core/src/segcore/FieldIndexing.h",
"repo_id": "milvus",
"token_count": 6030
} | 1,666 |
# TODO: Deprecated import support for old text splitters
from llama_index.core.node_parser.text.code import CodeSplitter
from llama_index.core.node_parser.text.sentence import (
SentenceSplitter,
)
from llama_index.core.node_parser.text.token import TokenTextSplitter
__all__ = [
"SentenceSplitter",
"TokenT... | llama_index/llama-index-core/llama_index/core/text_splitter/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/text_splitter/__init__.py",
"repo_id": "llama_index",
"token_count": 123
} | 1,151 |
import type { ObjectId } from "mongodb";
import type { Message } from "./Message";
import type { Timestamps } from "./Timestamps";
import type { User } from "./User";
import type { Assistant } from "./Assistant";
export interface Conversation extends Timestamps {
_id: ObjectId;
sessionId?: string;
userId?: User["_... | chat-ui/src/lib/types/Conversation.ts/0 | {
"file_path": "chat-ui/src/lib/types/Conversation.ts",
"repo_id": "chat-ui",
"token_count": 175
} | 105 |
from __future__ import annotations
import asyncio
import functools
import logging
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
Union,
cast,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackMan... | langchain/libs/community/langchain_community/chat_models/tongyi.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/tongyi.py",
"repo_id": "langchain",
"token_count": 6423
} | 228 |
from __future__ import annotations
from typing import Any, Dict, Iterator, List
from urllib.parse import urlparse
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, PrivateAttr
def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
for i in range(0, len(t... | langchain/libs/community/langchain_community/embeddings/mlflow.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/mlflow.py",
"repo_id": "langchain",
"token_count": 1323
} | 271 |
import type {
BaseLanguageModel,
BaseLanguageModelInterface,
} from "@langchain/core/language_models/base";
import type { ToolInterface } from "@langchain/core/tools";
import {
RunnablePassthrough,
RunnableSequence,
} from "@langchain/core/runnables";
import type { BasePromptTemplate } from "@langchain/core/pro... | langchainjs/langchain/src/agents/xml/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/xml/index.ts",
"repo_id": "langchainjs",
"token_count": 2275
} | 846 |
""" AdaHessian Optimizer
Lifted from https://github.com/davda54/ada-hessian/blob/master/ada_hessian.py
Originally licensed MIT, Copyright 2020, David Samuel
"""
import torch
class Adahessian(torch.optim.Optimizer):
"""
Implements the AdaHessian algorithm from "ADAHESSIAN: An Adaptive Second OrderOptimizer fo... | pytorch-image-models/timm/optim/adahessian.py/0 | {
"file_path": "pytorch-image-models/timm/optim/adahessian.py",
"repo_id": "pytorch-image-models",
"token_count": 2955
} | 385 |
import logging
from typing import Optional
import streamlit as st
st.set_page_config(
page_title="Realtime Evaluation of Production Runs",
page_icon="๐ฆ๏ธ๏ธ๐ ๏ธ",
)
from chain import MEMORY, get_chain
from langchain.callbacks import tracing_v2_enabled
from langchain.callbacks.tracers.evaluation import Evaluator... | langsmith-cookbook/feedback-examples/streamlit-realtime-feedback/main.py/0 | {
"file_path": "langsmith-cookbook/feedback-examples/streamlit-realtime-feedback/main.py",
"repo_id": "langsmith-cookbook",
"token_count": 2446
} | 1,058 |
---
hide_table_of_contents: true
sidebar_position: 0
---
# OpenAI functions
Certain models (like OpenAI's gpt-3.5-turbo and gpt-4) have been fine-tuned to detect when a function should be called and respond with the inputs that should be passed to the function.
In an API call, you can describe functions and have the ... | langchainjs/docs/core_docs/docs/modules/agents/agent_types/openai_functions_agent.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/agent_types/openai_functions_agent.mdx",
"repo_id": "langchainjs",
"token_count": 1380
} | 799 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/pkg/util/hardware/hardware_info_test.go/0 | {
"file_path": "milvus/pkg/util/hardware/hardware_info_test.go",
"repo_id": "milvus",
"token_count": 584
} | 1,968 |
""" Model / Layer Config singleton state
"""
import os
import warnings
from typing import Any, Optional
import torch
__all__ = [
'is_exportable', 'is_scriptable', 'is_no_jit', 'use_fused_attn',
'set_exportable', 'set_scriptable', 'set_no_jit', 'set_layer_config', 'set_fused_attn'
]
# Set to True if prefer to... | pytorch-image-models/timm/layers/config.py/0 | {
"file_path": "pytorch-image-models/timm/layers/config.py",
"repo_id": "pytorch-image-models",
"token_count": 1787
} | 352 |
from typing import Iterator, List, Optional, Sequence, Tuple
from langchain_core.documents import Document
from langchain_core.stores import BaseStore
class MongoDBStore(BaseStore[str, Document]):
"""BaseStore implementation using MongoDB as the underlying store.
Examples:
Create a MongoDBStore inst... | langchain/libs/community/langchain_community/storage/mongodb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/storage/mongodb.py",
"repo_id": "langchain",
"token_count": 1970
} | 281 |
import fnmatch
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,
BaseF... | langchain/libs/community/langchain_community/tools/file_management/file_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/file_management/file_search.py",
"repo_id": "langchain",
"token_count": 819
} | 297 |
<jupyter_start><jupyter_text>String Distance[](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/guides/evaluation/string/string_distance.ipynb)>In information theory, linguistics, and computer science, the [Levenshtein distance (Wikipedia)](https://en.wikipedia.org/wiki/Levenshtein_... | langchain/docs/docs/guides/evaluation/string/string_distance.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/string/string_distance.ipynb",
"repo_id": "langchain",
"token_count": 713
} | 92 |
import inspect
from typing import List, Optional, Union
import torch
from torch import nn
from torch.nn import functional as F
from torchvision import transforms
from transformers import CLIPImageProcessor, CLIPModel, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
Diffu... | diffusers/examples/community/clip_guided_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/clip_guided_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 6643
} | 196 |
use ::candle::Tensor;
use pyo3::prelude::*;
#[derive(Clone, Debug)]
/// Represents an absolute shape e.g. (1, 2, 3)
pub struct PyShape(Vec<usize>);
impl<'source> pyo3::FromPyObject<'source> for PyShape {
fn extract(ob: &'source PyAny) -> PyResult<Self> {
if ob.is_none() {
return Err(PyErr::new... | candle/candle-pyo3/src/shape.rs/0 | {
"file_path": "candle/candle-pyo3/src/shape.rs",
"repo_id": "candle",
"token_count": 1646
} | 67 |
# Evaluate predictions
<Tip warning={true}>
Metrics is deprecated in ๐ค Datasets. To learn more about how to use metrics, take a look at the library ๐ค [Evaluate](https://huggingface.co/docs/evaluate/index)! In addition to metrics, you can find more tools for evaluating models and datasets.
</Tip>
๐ค Datasets provi... | datasets/docs/source/metrics.mdx/0 | {
"file_path": "datasets/docs/source/metrics.mdx",
"repo_id": "datasets",
"token_count": 1193
} | 122 |
export * from "./0_1.js";
| langchainjs/libs/langchain-scripts/src/migrations/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-scripts/src/migrations/index.ts",
"repo_id": "langchainjs",
"token_count": 12
} | 1,033 |
"""Wrapper around YandexGPT embedding models."""
from __future__ import annotations
import logging
import time
from typing import Any, Callable, Dict, List
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, SecretStr, root_validator
from langchain_core.utils import conv... | langchain/libs/community/langchain_community/embeddings/yandex.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/yandex.py",
"repo_id": "langchain",
"token_count": 2684
} | 256 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
const apiUrl = "https://llm.api.cloud.yandex.net/llm/v1alpha/instruct";
/** @deprecated Prefer @langchain/yandex */
export interface YandexGPTInputs extends BaseLLMParams... | langchainjs/libs/langchain-community/src/llms/yandex.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/yandex.ts",
"repo_id": "langchainjs",
"token_count": 1305
} | 960 |
# README
## Overview
Milvus 2.2 has changed the meta structure for segment index. To upgrade a Milvus cluster of 2.1.x version you have installed, run this script to migrate the meta and upgrade the Milvus image version.
> Note:
> 1. This script only applies to Milvus installed on a K8s cluster which has storagecl... | milvus/deployments/migrate-meta/README.md/0 | {
"file_path": "milvus/deployments/migrate-meta/README.md",
"repo_id": "milvus",
"token_count": 2147
} | 1,639 |
# for backwards compatibility
from llama_index.core.base.base_retriever import BaseRetriever
__all__ = [
"BaseRetriever",
]
| llama_index/llama-index-core/llama_index/core/indices/base_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/base_retriever.py",
"repo_id": "llama_index",
"token_count": 45
} | 1,213 |
import { Redis } from "@upstash/redis";
import https from "https";
import { OpenAI } from "@langchain/openai";
import { UpstashRedisCache } from "@langchain/community/caches/upstash_redis";
// const client = new Redis({
// url: process.env.UPSTASH_REDIS_REST_URL!,
// token: process.env.UPSTASH_REDIS_REST_TOKEN!,
... | langchainjs/examples/src/cache/upstash_redis_advanced.ts/0 | {
"file_path": "langchainjs/examples/src/cache/upstash_redis_advanced.ts",
"repo_id": "langchainjs",
"token_count": 238
} | 796 |
// 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/util/indexparams/index_params.go/0 | {
"file_path": "milvus/pkg/util/indexparams/index_params.go",
"repo_id": "milvus",
"token_count": 3818
} | 1,833 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4321,
"logprob": -13.90625,
"text": "Test"
},
{
"id": 200... | text-generation-inference/integration-tests/models/__snapshots__/test_grammar_llama/test_flash_llama_grammar.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_grammar_llama/test_flash_llama_grammar.json",
"repo_id": "text-generation-inference",
"token_count": 1048
} | 423 |
# coding=utf-8
# Copyright 2022 WeChatAI 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/roc_bert/tokenization_roc_bert.py/0 | {
"file_path": "transformers/src/transformers/models/roc_bert/tokenization_roc_bert.py",
"repo_id": "transformers",
"token_count": 23589
} | 653 |
import pytest
from chromadb.api.client import AdminClient, Client
from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT
def test_database_tenant_collections(client: Client) -> None:
client.reset()
# Create a new database in the default tenant
admin_client = AdminClient.from_system(client._system)
... | chroma/chromadb/test/client/test_database_tenant.py/0 | {
"file_path": "chroma/chromadb/test/client/test_database_tenant.py",
"repo_id": "chroma",
"token_count": 2270
} | 24 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is_torch_available()):
... | diffusers/src/diffusers/pipelines/unidiffuser/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unidiffuser/__init__.py",
"repo_id": "diffusers",
"token_count": 733
} | 236 |
import json
import os.path
import time
import pyetcd
import requests
from pymilvus import connections
from kubernetes import client, config
from kubernetes.client.rest import ApiException
from common.milvus_sys import MilvusSys
from utils.util_log import test_log as log
from chaos import chaos_commons as cc
from common... | milvus/tests/python_client/utils/util_k8s.py/0 | {
"file_path": "milvus/tests/python_client/utils/util_k8s.py",
"repo_id": "milvus",
"token_count": 8058
} | 1,912 |
# coding=utf-8
# Copyright 2019-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 a... | transformers/tests/utils/test_skip_decorators.py/0 | {
"file_path": "transformers/tests/utils/test_skip_decorators.py",
"repo_id": "transformers",
"token_count": 1214
} | 866 |
from typing import List
from langchain_core.retrievers import BaseRetriever, Document
class SequentialRetriever(BaseRetriever):
"""Test util that returns a sequence of documents"""
sequential_responses: List[List[Document]]
response_index: int = 0
def _get_relevant_documents( # type: ignore[overri... | langchain/libs/langchain/tests/unit_tests/retrievers/sequential_retriever.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/sequential_retriever.py",
"repo_id": "langchain",
"token_count": 304
} | 608 |
<jupyter_start><jupyter_text>Token countingLangChain offers a context manager that allows you to count tokens.<jupyter_code>import asyncio
from langchain.callbacks import get_openai_callback
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)
with get_openai_callback() as cb:
llm("What is the square r... | langchain/docs/docs/modules/callbacks/token_counting.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/callbacks/token_counting.ipynb",
"repo_id": "langchain",
"token_count": 400
} | 199 |
from langchain_community.document_loaders.parsers.audio import OpenAIWhisperParser
from langchain_community.document_loaders.parsers.doc_intelligence import (
AzureAIDocumentIntelligenceParser,
)
from langchain_community.document_loaders.parsers.docai import DocAIParser
from langchain_community.document_loaders.par... | langchain/libs/community/langchain_community/document_loaders/parsers/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/__init__.py",
"repo_id": "langchain",
"token_count": 371
} | 256 |
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