text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
MIME-Version: 1.0
Date: Fri, 16 Dec 2022 17:04:16 -0500
Message-ID: <CADc-_xaLB2FeVQ7mNsoX+NJb_7hAJhBKa_zet-rtgPGenj0uVw@mail.gmail.com>
Subject: Test Email
From: Matthew Robinson <mrobinson@unstructured.io>
To: Matthew Robinson <mrobinson@unstructured.io>
Content-Type: multipart/alternative; boundary="00000000000095c9... | langchain/docs/docs/integrations/document_loaders/example_data/fake-email.eml/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/example_data/fake-email.eml",
"repo_id": "langchain",
"token_count": 313
} | 98 |
#!/bin/bash
# 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... | milvus/tests/scripts/qa/ci_logs.sh/0 | {
"file_path": "milvus/tests/scripts/qa/ci_logs.sh",
"repo_id": "milvus",
"token_count": 817
} | 1,915 |
from sql_llama2.chain import chain
__all__ = ["chain"]
| langchain/templates/sql-llama2/sql_llama2/__init__.py/0 | {
"file_path": "langchain/templates/sql-llama2/sql_llama2/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 702 |
from langchain_community.document_loaders.docusaurus import DocusaurusLoader
__all__ = ["DocusaurusLoader"]
| langchain/libs/langchain/langchain/document_loaders/docusaurus.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/docusaurus.py",
"repo_id": "langchain",
"token_count": 32
} | 526 |
import os
import re
from langchain.sql_database import SQLDatabase
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydan... | langchain/templates/sql-pgvector/sql_pgvector/chain.py/0 | {
"file_path": "langchain/templates/sql-pgvector/sql_pgvector/chain.py",
"repo_id": "langchain",
"token_count": 1245
} | 685 |
from __future__ import annotations
import io
import json
import time
from typing import Any, Dict, Iterator, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class AthenaLoader(BaseLoader):
"""Load documents from `AWS Athena`.
... | langchain/libs/community/langchain_community/document_loaders/athena.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/athena.py",
"repo_id": "langchain",
"token_count": 2621
} | 241 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-papers/llama_index/readers/papers/arxiv/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-papers/llama_index/readers/papers/arxiv/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,424 |
import * as uuid from "uuid";
import { AstraDB } from "@datastax/astra-db-ts";
import { Collection } from "@datastax/astra-db-ts/dist/collections";
import { CreateCollectionOptions } from "@datastax/astra-db-ts/dist/collections/options.js";
import {
AsyncCaller,
AsyncCallerParams,
} from "@langchain/core/utils/as... | langchainjs/libs/langchain-community/src/vectorstores/astradb.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/astradb.ts",
"repo_id": "langchainjs",
"token_count": 3423
} | 1,021 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, The HuggingFace Inc. team, and the
# Lxmert Authors.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.... | transformers/src/transformers/models/lxmert/modeling_tf_lxmert.py/0 | {
"file_path": "transformers/src/transformers/models/lxmert/modeling_tf_lxmert.py",
"repo_id": "transformers",
"token_count": 31854
} | 625 |
"""Select and order examples based on ngram overlap score (sentence_bleu score).
https://www.nltk.org/_modules/nltk/translate/bleu_score.html
https://aclanthology.org/P02-1040.pdf
"""
from typing import Dict, List
import numpy as np
from langchain_core.example_selectors import BaseExampleSelector
from langchain_core.... | langchain/libs/community/langchain_community/example_selectors/ngram_overlap.py/0 | {
"file_path": "langchain/libs/community/langchain_community/example_selectors/ngram_overlap.py",
"repo_id": "langchain",
"token_count": 1566
} | 274 |
"""
Qdrant vector store index.
An index that is built on top of an existing Qdrant collection.
"""
import logging
from typing import Any, List, Optional, Tuple, cast
import qdrant_client
from grpc import RpcError
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.schema import Base... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/base.py",
"repo_id": "llama_index",
"token_count": 16325
} | 1,673 |
// 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/util_test.go/0 | {
"file_path": "milvus/internal/datacoord/util_test.go",
"repo_id": "milvus",
"token_count": 2059
} | 1,690 |
# coding=utf-8
# Copyright 2023, HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | transformers/src/transformers/models/gptsan_japanese/configuration_gptsan_japanese.py/0 | {
"file_path": "transformers/src/transformers/models/gptsan_japanese/configuration_gptsan_japanese.py",
"repo_id": "transformers",
"token_count": 2956
} | 681 |
"""DashScope llm api."""
from http import HTTPStatus
from typing import Any, Dict, List, Optional, Sequence, Tuple
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS, DEFAULT_TEMPERATURE
from llama_... | llama_index/llama-index-legacy/llama_index/legacy/llms/dashscope.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/dashscope.py",
"repo_id": "llama_index",
"token_count": 5279
} | 1,615 |
# SK-ResNet
**SK ResNet** is a variant of a [ResNet](https://www.paperswithcode.com/method/resnet) that employs a [Selective Kernel](https://paperswithcode.com/method/selective-kernel) unit. In general, all the large kernel convolutions in the original bottleneck blocks in ResNet are replaced by the proposed [SK convo... | pytorch-image-models/hfdocs/source/models/skresnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/skresnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2082
} | 364 |
python_sources()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/llama_index/multi_modal_llms/replicate/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/llama_index/multi_modal_llms/replicate/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,313 |
# DingoDB
This page covers how to use the DingoDB ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific DingoDB wrappers.
## Installation and Setup
- Install the Python SDK with `pip install dingodb`
## VectorStore
There exists a wrapper around DingoDB inde... | langchain/docs/docs/integrations/providers/dingo.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/dingo.mdx",
"repo_id": "langchain",
"token_count": 161
} | 135 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_bf.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_bf.cpp",
"repo_id": "milvus",
"token_count": 2378
} | 1,816 |
// 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/importv2/task_manager.go/0 | {
"file_path": "milvus/internal/datanode/importv2/task_manager.go",
"repo_id": "milvus",
"token_count": 765
} | 1,696 |
# Embeddings
## Concept
Embeddings are used in LlamaIndex to represent your documents using a sophisticated numerical representation. Embedding models take text as input, and return a long list of numbers used to capture the semantics of the text. These embedding models have been trained to represent text this way, a... | llama_index/docs/module_guides/models/embeddings.md/0 | {
"file_path": "llama_index/docs/module_guides/models/embeddings.md",
"repo_id": "llama_index",
"token_count": 2652
} | 1,095 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _q4_matrix_cuh
#define _q4_matrix_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
class Q4Matrix
{
public:
int device;
int height;
int width;
int groups;
int groupsize;
uint32_t* cuda_qw... | text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/q4_matrix.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/q4_matrix.cuh",
"repo_id": "text-generation-inference",
"token_count": 419
} | 420 |
package datanode
import (
"context"
"github.com/golang/protobuf/proto"
"github.com/samber/lo"
"go.opentelemetry.io/otel/trace"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/internal/datanode/metacache"... | milvus/internal/datanode/flow_graph_write_node.go/0 | {
"file_path": "milvus/internal/datanode/flow_graph_write_node.go",
"repo_id": "milvus",
"token_count": 1434
} | 1,695 |
import { TavilySearchAPIRetriever } from "@langchain/community/retrievers/tavily_search_api";
const retriever = new TavilySearchAPIRetriever({
k: 3,
});
const retrievedDocs = await retriever.getRelevantDocuments(
"What did the speaker say about Justice Breyer in the 2022 State of the Union?"
);
console.log({ retr... | langchainjs/examples/src/retrievers/tavily.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/tavily.ts",
"repo_id": "langchainjs",
"token_count": 374
} | 817 |
""" MaxVit and CoAtNet Vision Transformer - CNN Hybrids in PyTorch
This is a from-scratch implementation of both CoAtNet and MaxVit in PyTorch.
99% of the implementation was done from papers, however last minute some adjustments were made
based on the (as yet unfinished?) public code release https://github.com/google... | pytorch-image-models/timm/models/maxxvit.py/0 | {
"file_path": "pytorch-image-models/timm/models/maxxvit.py",
"repo_id": "pytorch-image-models",
"token_count": 42620
} | 365 |
import {ChromaClient} from "../src/ChromaClient";
import { CloudClient } from "../src/CloudClient";
const PORT = process.env.PORT || "8000";
const URL = "http://localhost:" + PORT;
export const chromaBasic = new ChromaClient({path: URL, auth: {provider: "basic", credentials: "admin:admin"}});
export const chromaTokenD... | chroma/clients/js/test/initClientWithAuth.ts/0 | {
"file_path": "chroma/clients/js/test/initClientWithAuth.ts",
"repo_id": "chroma",
"token_count": 281
} | 35 |
from langchain_community.tools.gmail.search import (
GmailSearch,
Resource,
SearchArgsSchema,
)
__all__ = ["Resource", "SearchArgsSchema", "GmailSearch"]
| langchain/libs/langchain/langchain/tools/gmail/search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/gmail/search.py",
"repo_id": "langchain",
"token_count": 58
} | 578 |
"""Integration test for Sms."""
from langchain_community.utilities.twilio import TwilioAPIWrapper
def test_call() -> None:
"""Test that call runs."""
twilio = TwilioAPIWrapper()
output = twilio.run("Message", "+16162904619")
assert output
| langchain/libs/community/tests/integration_tests/utilities/test_twilio.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/utilities/test_twilio.py",
"repo_id": "langchain",
"token_count": 93
} | 350 |
<jupyter_start><jupyter_text>[Beta] Text-to-SQL with PGVectorThis notebook demo shows how to perform text-to-SQL with pgvector. This allows us to jointly do both semantic search and structured querying, *all* within SQL!This hypothetically enables more expressive queries than semantic search + metadata filters.**NOTE**... | llama_index/docs/examples/query_engine/pgvector_sql_query_engine.ipynb/0 | {
"file_path": "llama_index/docs/examples/query_engine/pgvector_sql_query_engine.ipynb",
"repo_id": "llama_index",
"token_count": 2283
} | 1,104 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/meta/coordinator_broker_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/meta/coordinator_broker_test.go",
"repo_id": "milvus",
"token_count": 4961
} | 1,977 |
from typing import List, Optional, Sequence, cast
from llama_index.core.llms.llm import LLM
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.question_gen.prompts import build_tools_text
from llama_index.core.question_gen.types import (
BaseQuestionGenerator,
SubQuestion,
SubQ... | llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/llama_index/question_gen/openai/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/llama_index/question_gen/openai/base.py",
"repo_id": "llama_index",
"token_count": 1298
} | 1,331 |
loop_stability:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_8/shards_loop_stability
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 10
gpu_resource_config.enable: true
gpu_resource_config.cache_capacity: 2GB
... | milvus/tests/benchmark/milvus_benchmark/suites/shards_loop_stability.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/shards_loop_stability.yaml",
"repo_id": "milvus",
"token_count": 246
} | 2,011 |
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { OpenAIEmbeddings } from "@langchain/openai";
const vectorStore = await HNSWLib.fromTexts(
["Hello world", "Bye bye", "hello nice world"],
[{ id: 2 }, { id: 1 }, { id: 3 }],
new OpenAIEmbeddings()
);
const resultOne = await vectorStore... | langchainjs/examples/src/indexes/vector_stores/hnswlib.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/hnswlib.ts",
"repo_id": "langchainjs",
"token_count": 130
} | 814 |
# 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/models/gpt2/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/gpt2/__init__.py",
"repo_id": "transformers",
"token_count": 2017
} | 611 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it.<jupyter_code>#! pip install transformers datasets huggingface_hub<jupyter_output><empty_output><jupyter_text>If you're opening this notebook ... | notebooks/examples/question_answering-tf.ipynb/0 | {
"file_path": "notebooks/examples/question_answering-tf.ipynb",
"repo_id": "notebooks",
"token_count": 17339
} | 321 |
## init file
from llama_index.tools.azure_speech.base import (
AzureSpeechToolSpec,
)
__all__ = ["AzureSpeechToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-azure-speech/llama_index/tools/azure_speech/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-azure-speech/llama_index/tools/azure_speech/__init__.py",
"repo_id": "llama_index",
"token_count": 47
} | 1,478 |
---
label: "File Loaders"
hide_table_of_contents: true
sidebar_class_name: node-only-category
---
# File Loaders
:::tip Compatibility
Only available on Node.js.
:::
These loaders are used to load files given a filesystem path or a Blob object.
import DocCardList from "@theme/DocCardList";
<DocCardList />
| langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/index.mdx",
"repo_id": "langchainjs",
"token_count": 100
} | 778 |
# coding=utf-8
# Copyright 2021 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... | transformers/examples/research_projects/quantization-qdqbert/Dockerfile/0 | {
"file_path": "transformers/examples/research_projects/quantization-qdqbert/Dockerfile",
"repo_id": "transformers",
"token_count": 392
} | 531 |
from typing import List, Tuple
from langchain_core.agents import AgentAction
def format_log_to_str(
intermediate_steps: List[Tuple[AgentAction, str]],
observation_prefix: str = "Observation: ",
llm_prefix: str = "Thought: ",
) -> str:
"""Construct the scratchpad that lets the agent continue its thoug... | langchain/libs/langchain/langchain/agents/format_scratchpad/log.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/format_scratchpad/log.py",
"repo_id": "langchain",
"token_count": 176
} | 441 |
"""Prompt types enum."""
from enum import Enum
class PromptType(str, Enum):
"""Prompt type."""
# summarization
SUMMARY = "summary"
# tree insert node
TREE_INSERT = "insert"
# tree select query prompt
TREE_SELECT = "tree_select"
# tree select query prompt (multiple)
TREE_SELECT_MU... | llama_index/llama-index-core/llama_index/core/prompts/prompt_type.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/prompt_type.py",
"repo_id": "llama_index",
"token_count": 715
} | 1,166 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/llama_index/llms/perplexity/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/llama_index/llms/perplexity/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,417 |
# NLPCloud
>[NLP Cloud](https://docs.nlpcloud.com/#introduction) is an artificial intelligence platform that allows you to use the most advanced AI engines, and even train your own engines with your own data.
## Installation and Setup
- Install the `nlpcloud` package.
```bash
pip install nlpcloud
```
- Get an NL... | langchain/docs/docs/integrations/providers/nlpcloud.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/nlpcloud.mdx",
"repo_id": "langchain",
"token_count": 220
} | 153 |
package funcutil
import (
"fmt"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/internal/proto/segcorepb"
)
f... | milvus/internal/util/funcutil/count_util.go/0 | {
"file_path": "milvus/internal/util/funcutil/count_util.go",
"repo_id": "milvus",
"token_count": 1078
} | 1,800 |
# coding=utf-8
# Copyright 2022 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/layoutlmv3/test_modeling_tf_layoutlmv3.py/0 | {
"file_path": "transformers/tests/models/layoutlmv3/test_modeling_tf_layoutlmv3.py",
"repo_id": "transformers",
"token_count": 9738
} | 790 |
compute_environment: LOCAL_MACHINE
deepspeed_config: {}
distributed_type: 'NO'
downcast_bf16: 'no'
fsdp_config: {}
machine_rank: 0
main_process_ip: null
main_process_port: null
main_training_function: main
mixed_precision: 'no'
num_machines: 1
num_processes: 1
use_cpu: false | accelerate/tests/test_configs/0_12_0.yaml/0 | {
"file_path": "accelerate/tests/test_configs/0_12_0.yaml",
"repo_id": "accelerate",
"token_count": 105
} | 20 |
"""Tests for the string run evaluator."""
from unittest.mock import MagicMock
from langchain.evaluation import criteria
from langchain.smith.evaluation.string_run_evaluator import (
ChainStringRunMapper,
StringRunEvaluatorChain,
)
from tests.unit_tests.llms import fake_llm
def test_evaluate_run() -> None:
... | langchain/libs/langchain/tests/unit_tests/smith/evaluation/test_string_run_evaluator.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/smith/evaluation/test_string_run_evaluator.py",
"repo_id": "langchain",
"token_count": 336
} | 618 |
import pytest
@pytest.fixture(scope="module")
def flash_santacoder_handle(launcher):
with launcher("bigcode/santacoder") as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_santacoder(flash_santacoder_handle):
await flash_santacoder_handle.health(300)
return flash_santacoder_... | text-generation-inference/integration-tests/models/test_flash_santacoder.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_santacoder.py",
"repo_id": "text-generation-inference",
"token_count": 387
} | 412 |
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use tk::tokenizer::{Offsets, PaddingDirection};
use tk::utils::truncation::TruncationDirection;
use tokenizers as tk;
use crate::error::{deprecation_warning, PyError};
/// The :class:`~tokenizers.Encoding` represents the output of a :class:`~tokenizers.T... | tokenizers/bindings/python/src/encoding.rs/0 | {
"file_path": "tokenizers/bindings/python/src/encoding.rs",
"repo_id": "tokenizers",
"token_count": 7397
} | 424 |
package indexparamcheck
import (
"fmt"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
type hnswChecker struct {
floatVectorBaseChecker
}
func (c hnswChecker) StaticCheck(params map[string]string) error {
if !CheckIntByRange(params, EFConstruction, HNSWMinEfConstruction, HNSWMaxEfConstruction) {
retu... | milvus/pkg/util/indexparamcheck/hnsw_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/hnsw_checker.go",
"repo_id": "milvus",
"token_count": 477
} | 2,109 |
import { NextRequest, NextResponse } from "next/server";
import { Client } from "langsmith";
export const runtime = "edge";
const langsmithClient = new Client();
/**
* This handler creates feedback for a LangSmith trace.
*/
export async function POST(req: NextRequest) {
try {
const body = await req.json();
... | langsmith-cookbook/feedback-examples/nextjs/app/api/feedback/route.ts/0 | {
"file_path": "langsmith-cookbook/feedback-examples/nextjs/app/api/feedback/route.ts",
"repo_id": "langsmith-cookbook",
"token_count": 582
} | 1,070 |
from __future__ import annotations
import json
import uuid
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Tuple,
Type,
Union,
)
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core... | langchain/libs/community/langchain_community/vectorstores/marqo.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/marqo.py",
"repo_id": "langchain",
"token_count": 7495
} | 309 |
import { NodeHandler, ASTParser } from "./base.js";
import { PropertyAssignmentHandler } from "./property_assignment_handler.js";
import { ObjectLiteralType, PropertyAssignmentType } from "./types.js";
/**
* Handles object literal expressions in the LangChain Expression
* Language. Extends the NodeHandler class.
*/... | langchainjs/langchain/src/output_parsers/expression_type_handlers/object_literal_expression_handler.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/object_literal_expression_handler.ts",
"repo_id": "langchainjs",
"token_count": 547
} | 952 |
filters:
".*":
reviewers:
- czs007
- jeffoverflow
- scsven
- shengjun1985
- sunby
- xiaofan-luan
- xige-16
- yanliang567
- zwd1208
approvers:
- maintainers
"Makefile$":
labels:
- area/compilation
"CMakeLists\\.txt$":
labels:
... | milvus/OWNERS/0 | {
"file_path": "milvus/OWNERS",
"repo_id": "milvus",
"token_count": 451
} | 1,619 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["LlamaGuardModeratorPack"]
contains_example = false
import_path = "llama_index.packs.llama... | llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/pyproject.toml",
"repo_id": "llama_index",
"token_count": 726
} | 1,708 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/rootcoord/has_partition_task_test.go/0 | {
"file_path": "milvus/internal/rootcoord/has_partition_task_test.go",
"repo_id": "milvus",
"token_count": 1764
} | 1,778 |
from typing import Callable, Optional
from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class GeneratorDatasetInputStream(AbstractDatasetInputStream):
def __init__(
self,
generator: Callable,
features: Optional... | datasets/src/datasets/io/generator.py/0 | {
"file_path": "datasets/src/datasets/io/generator.py",
"repo_id": "datasets",
"token_count": 896
} | 131 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/detr.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/detr.md",
"repo_id": "transformers",
"token_count": 7983
} | 495 |
import os
from minio import Minio
from minio.error import S3Error
from utils.util_log import test_log as log
def copy_files_to_bucket(client, r_source, target_files, bucket_name, force=False):
# check the bucket exist
found = client.bucket_exists(bucket_name)
if not found:
log.error(f"Bucket {buck... | milvus/tests/python_client/common/minio_comm.py/0 | {
"file_path": "milvus/tests/python_client/common/minio_comm.py",
"repo_id": "milvus",
"token_count": 618
} | 2,035 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-bagel/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-bagel/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,515 |
# Oracle Cloud Infrastructure (OCI)
The `LangChain` integrations related to [Oracle Cloud Infrastructure](https://www.oracle.com/artificial-intelligence/).
## LLMs
### OCI Generative AI
> Oracle Cloud Infrastructure (OCI) [Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm) is a fully m... | langchain/docs/docs/integrations/providers/oci.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/oci.mdx",
"repo_id": "langchain",
"token_count": 637
} | 143 |
"""init params."""
| llama_index/llama-index-core/llama_index/core/tools/tool_spec/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/tools/tool_spec/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,303 |
# Multi-Document Agents Pack
This LlamaPack provides an example of our multi-document agents.
This specific template shows the e2e process of building this. Given a set
of documents, the pack will build our multi-document agents architecture.
- setup a document agent over agent doc (capable of QA and summarization)
... | llama_index/llama-index-packs/llama-index-packs-multi-document-agents/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-document-agents/README.md",
"repo_id": "llama_index",
"token_count": 725
} | 1,797 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/perceiver/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/perceiver/__init__.py",
"repo_id": "transformers",
"token_count": 1222
} | 653 |
#!/usr/bin/env python
"""Converts a Whisper model in OpenAI format to Hugging Face format."""
# Copyright 2022 The HuggingFace Inc. team and the OpenAI 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 ... | transformers/src/transformers/models/whisper/convert_openai_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/whisper/convert_openai_to_hf.py",
"repo_id": "transformers",
"token_count": 6393
} | 691 |
# Dependents
Dependents stats for `langchain-ai/langchain`
[](https://github.com/langchain-ai/langchain/network/dependents)
[&message=538&color=informatio... | langchain/docs/docs/additional_resources/dependents.mdx/0 | {
"file_path": "langchain/docs/docs/additional_resources/dependents.mdx",
"repo_id": "langchain",
"token_count": 18085
} | 81 |
<!--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/index.md/0 | {
"file_path": "diffusers/docs/source/en/index.md",
"repo_id": "diffusers",
"token_count": 1316
} | 181 |
<jupyter_start><jupyter_text>HuggingFace Hub meets Amazon SageMaker Fine-tune a Multi-Class Classification with `Trainer` and `emotion` dataset and push it to the [Hugging Face Hub](https://huggingface.co/models) IntroductionWelcome to our end-to-end multi-class Text-Classification example. In this demo, we will use t... | notebooks/sagemaker/14_train_and_push_to_hub/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/14_train_and_push_to_hub/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 3921
} | 318 |
# coding=utf-8
# Copyright 2022 The REALM authors and 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 ... | transformers/src/transformers/models/realm/modeling_realm.py/0 | {
"file_path": "transformers/src/transformers/models/realm/modeling_realm.py",
"repo_id": "transformers",
"token_count": 36138
} | 731 |
<jupyter_start><jupyter_text>Xata> [Xata](https://xata.io) is a serverless data platform, based on PostgreSQL. It provides a Python SDK for interacting with your database, and a UI for managing your data.> Xata has a native vector type, which can be added to any table, and supports similarity search. LangChain inserts ... | langchain/docs/docs/integrations/vectorstores/xata.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/xata.ipynb",
"repo_id": "langchain",
"token_count": 1222
} | 196 |
# flake8: noqa
from langchain_core.prompts.prompt import PromptTemplate
_CREATE_DRAFT_ANSWER_TEMPLATE = """{question}\n\n"""
CREATE_DRAFT_ANSWER_PROMPT = PromptTemplate(
input_variables=["question"], template=_CREATE_DRAFT_ANSWER_TEMPLATE
)
_LIST_ASSERTIONS_TEMPLATE = """Here is a statement:
{statement}
Make a bu... | langchain/libs/langchain/langchain/chains/llm_checker/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/llm_checker/prompt.py",
"repo_id": "langchain",
"token_count": 385
} | 460 |
""" Official evaluation script for v1.1 of the SQuAD dataset. """
import argparse
import json
import re
import string
import sys
from collections import Counter
def normalize_answer(s):
"""Lower text and remove punctuation, articles and extra whitespace."""
def remove_articles(text):
return re.sub(r... | datasets/metrics/squad/evaluate.py/0 | {
"file_path": "datasets/metrics/squad/evaluate.py",
"repo_id": "datasets",
"token_count": 1337
} | 125 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/llama_index/tools/yahoo_finance/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/llama_index/tools/yahoo_finance/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,505 |
# Copyright 2024 TSAIL Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | diffusers/src/diffusers/schedulers/scheduling_dpmsolver_multistep_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_dpmsolver_multistep_flax.py",
"repo_id": "diffusers",
"token_count": 13615
} | 257 |
from typing import Callable, Optional
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.prompts import BasePromptTemplate
from llama_index.legacy.prompts.default_prompt_selectors import (
DEFAULT_REFINE_PROMPT_SEL,
DEF... | llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/factory.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/factory.py",
"repo_id": "llama_index",
"token_count": 2064
} | 1,769 |
use async_trait::async_trait;
pub(crate) mod config;
pub(crate) mod s3;
#[async_trait]
trait Storage {
async fn get(&self, key: &str, path: &str) -> Result<(), String>;
async fn put(&self, key: &str, path: &str) -> Result<(), String>;
}
| chroma/rust/worker/src/storage/mod.rs/0 | {
"file_path": "chroma/rust/worker/src/storage/mod.rs",
"repo_id": "chroma",
"token_count": 103
} | 62 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/mq/msgstream/mqwrapper/client.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/client.go",
"repo_id": "milvus",
"token_count": 344
} | 2,094 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/internal/modeling_utils.md/0 | {
"file_path": "transformers/docs/source/ja/internal/modeling_utils.md",
"repo_id": "transformers",
"token_count": 821
} | 537 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in co... | transformers/examples/legacy/run_openai_gpt.py/0 | {
"file_path": "transformers/examples/legacy/run_openai_gpt.py",
"repo_id": "transformers",
"token_count": 6165
} | 556 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/tsafe/tsafe_test.go/0 | {
"file_path": "milvus/internal/querynodev2/tsafe/tsafe_test.go",
"repo_id": "milvus",
"token_count": 895
} | 1,775 |
import { NotionDBLoader } from "langchain/document_loaders/web/notiondb";
const loader = new NotionDBLoader({
pageSizeLimit: 10,
databaseId: "databaseId",
notionIntegrationToken: "<your token here>", // Or set as process.env.NOTION_INTEGRATION_TOKEN
});
const docs = await loader.load();
console.log({ docs });
| langchainjs/examples/src/document_loaders/notiondb.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/notiondb.ts",
"repo_id": "langchainjs",
"token_count": 102
} | 799 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/output_parsers/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/output_parsers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,530 |
from typing import Dict, List
import pytest
from llama_index.legacy.data_structs.struct_type import IndexStructType
from llama_index.legacy.schema import Document
from tests.mock_utils.mock_prompts import (
MOCK_INSERT_PROMPT,
MOCK_KEYWORD_EXTRACT_PROMPT,
MOCK_QUERY_KEYWORD_EXTRACT_PROMPT,
MOCK_QUERY_... | llama_index/llama-index-legacy/tests/indices/query/conftest.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/conftest.py",
"repo_id": "llama_index",
"token_count": 925
} | 1,620 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_always_true_expr.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_always_true_expr.cpp",
"repo_id": "milvus",
"token_count": 1033
} | 1,682 |
from llama_index.core.storage.index_store.simple_index_store import (
SimpleIndexStore,
)
__all__ = [
"SimpleIndexStore",
]
| llama_index/llama-index-core/llama_index/core/storage/index_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/storage/index_store/__init__.py",
"repo_id": "llama_index",
"token_count": 50
} | 1,250 |
GO ?= go
PWD := $(shell pwd)
GOPATH := $(shell $(GO) env GOPATH)
ROOTPATH := $(abspath $(dir $(PWD)))
SHELL := /bin/bash
OBJPREFIX := "github.com/milvus-io/milvus/cmd/milvus"
INSTALL_PATH := $(ROOTPATH)/bin
# use parent getdeps
getdeps:
$(MAKE) -C $(ROOTPATH) getdeps
generate-mockery: getdeps
$(INSTALL_PATH... | milvus/pkg/Makefile/0 | {
"file_path": "milvus/pkg/Makefile",
"repo_id": "milvus",
"token_count": 520
} | 1,812 |
from langchain_community.document_loaders.sitemap import (
SitemapLoader,
)
__all__ = [
"SitemapLoader",
]
| langchain/libs/langchain/langchain/document_loaders/sitemap.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/sitemap.py",
"repo_id": "langchain",
"token_count": 47
} | 490 |
from llama_index.callbacks.aim.base import AimCallback
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
def test_class():
names_of_base_classes = [b.__name__ for b in AimCallback.__mro__]
assert BaseCallbackHandler.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-aim/tests/test_aim_callback.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-aim/tests/test_aim_callback.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,181 |
import { ChatOpenAI } from "@langchain/openai";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
import { HumanMessage } from "@langchain/core/messages";
const extractionFunctionSchema = {
name: "extractor",
description: "Extracts fields from the input.",
parameters: zodToJsonSchema... | langchainjs/examples/src/models/chat/openai_functions_zod.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/openai_functions_zod.ts",
"repo_id": "langchainjs",
"token_count": 625
} | 839 |
import type { readFile as ReadFileT } from "node:fs/promises";
import { Document } from "@langchain/core/documents";
import { getEnv } from "@langchain/core/utils/env";
import { BaseDocumentLoader } from "../base.js";
/**
* A class that extends the `BaseDocumentLoader` class. It represents a
* document loader that l... | langchainjs/langchain/src/document_loaders/fs/text.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/fs/text.ts",
"repo_id": "langchainjs",
"token_count": 1312
} | 968 |
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { Pinecone } from "@pinecone-database/pinecone";
import { OpenAIEmbeddings } from "@langchain/openai";
import { PineconeStore } from "@langchain/pinecone";
// Instantiate a new Pinecone client, which will automatically read the
// env vars: PINECONE_... | langchainjs/examples/src/indexes/vector_stores/pinecone/mmr.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/pinecone/mmr.ts",
"repo_id": "langchainjs",
"token_count": 285
} | 820 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["WeaviateRetryEnginePack"]
contains_example = false
import_path = "llama_index.packs.retry... | llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/pyproject.toml",
"repo_id": "llama_index",
"token_count": 718
} | 1,674 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class TFGPT2Tokenizer(metaclass=DummyObject):
_backends = ["keras_nlp"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["keras_nlp"])
| transformers/src/transformers/utils/dummy_keras_nlp_objects.py/0 | {
"file_path": "transformers/src/transformers/utils/dummy_keras_nlp_objects.py",
"repo_id": "transformers",
"token_count": 110
} | 735 |
import json
import logging
import time
import urllib.error
import urllib.parse
import urllib.request
from typing import Any, Dict, Iterator, List
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, root_validator
logger = logging.getLogger(__name__)
class PubMedAPIWrapper... | langchain/libs/community/langchain_community/utilities/pubmed.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/pubmed.py",
"repo_id": "langchain",
"token_count": 3300
} | 321 |
// 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/http/healthz/content_type.go/0 | {
"file_path": "milvus/internal/http/healthz/content_type.go",
"repo_id": "milvus",
"token_count": 278
} | 1,989 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.metal import MetalReader
def test_class():
names_of_base_classes = [b.__name__ for b in MetalReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-metal/tests/test_readers_metal.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-metal/tests/test_readers_metal.py",
"repo_id": "llama_index",
"token_count": 85
} | 1,481 |
from langchain_community.llms.stochasticai import StochasticAI
__all__ = ["StochasticAI"]
| langchain/libs/langchain/langchain/llms/stochasticai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/stochasticai.py",
"repo_id": "langchain",
"token_count": 31
} | 520 |
---
sidebar_label: Baidu Wenxin
---
import CodeBlock from "@theme/CodeBlock";
# ChatBaiduWenxin
LangChain.js supports Baidu's ERNIE-bot family of models. Here's an example:
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallToolti... | langchainjs/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx",
"repo_id": "langchainjs",
"token_count": 175
} | 752 |
# loading package files: https://stackoverflow.com/a/20885799
import importlib.resources as pkg_resources
import logging
from pathlib import Path
from typing import Any, List, Tuple
import yaml
from . import resources
from .deprecation_utils import deprecated
BASE_REF_URL = "https://github.com/huggingface/datasets/... | datasets/src/datasets/utils/readme.py/0 | {
"file_path": "datasets/src/datasets/utils/readme.py",
"repo_id": "datasets",
"token_count": 5742
} | 159 |
[workspace]
members = [
"benchmark",
"router",
"router/client",
"router/grpc-metadata",
"launcher"
]
resolver = "2"
[workspace.package]
version = "1.4.0"
edition = "2021"
authors = ["Olivier Dehaene"]
homepage = "https://github.com/huggingface/text-generation-inference"
[profile.release]
debug = 1... | text-generation-inference/Cargo.toml/0 | {
"file_path": "text-generation-inference/Cargo.toml",
"repo_id": "text-generation-inference",
"token_count": 154
} | 391 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/finetuning/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/finetuning/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,707 |
import pytest
def test_invalid_auth_cred(api_wrong_cred):
with pytest.raises(Exception) as e:
api_wrong_cred.list_collections()
assert "Unauthorized" in str(e.value)
def test_server_basic_auth(api_with_server_auth):
cols = api_with_server_auth.list_collections()
assert len(cols) == 0
| chroma/chromadb/test/auth/test_basic_auth.py/0 | {
"file_path": "chroma/chromadb/test/auth/test_basic_auth.py",
"repo_id": "chroma",
"token_count": 129
} | 21 |
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