text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
""" Eval metrics and related
Hacked together by / Copyright 2020 Ross Wightman
"""
class AverageMeter:
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
... | pytorch-image-models/timm/utils/metrics.py/0 | {
"file_path": "pytorch-image-models/timm/utils/metrics.py",
"repo_id": "pytorch-image-models",
"token_count": 374
} | 365 |
import { loadEvaluator } from "langchain/evaluation";
const customCriterion = {
simplicity: "Is the language straightforward and unpretentious?",
clarity: "Are the sentences clear and easy to understand?",
precision: "Is the writing precise, with no unnecessary words or details?",
truthfulness: "Does the writi... | langchainjs/examples/src/guides/evaluation/comparision_evaluator/pairwise_string_custom_criteria.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/comparision_evaluator/pairwise_string_custom_criteria.ts",
"repo_id": "langchainjs",
"token_count": 441
} | 777 |
import importlib
import os
import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry
from datasets.filesystems import COMPRESSION_FILESYSTEMS, extract_path_from_uri, is_remote_filesystem
from .utils import require_lz4, require_zstandard
def tes... | datasets/tests/test_filesystem.py/0 | {
"file_path": "datasets/tests/test_filesystem.py",
"repo_id": "datasets",
"token_count": 1297
} | 156 |
init_str = """from llama_index.{TYPE}.{NAME}.base import <FILL>
__all__ = ["<FILL>"]
"""
init_with_prefix_str = """from llama_index.{PREFIX}.{TYPE}.{NAME}.base import <FILL>
__all__ = ["<FILL>"]
"""
| llama_index/llama-index-core/llama_index/core/command_line/new_package/templates/init.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/command_line/new_package/templates/init.py",
"repo_id": "llama_index",
"token_count": 86
} | 1,166 |
from unittest.mock import MagicMock, Mock
import pytest
from langchain_community.graphs import OntotextGraphDBGraph
from langchain.chains import LLMChain, OntotextGraphDBQAChain
"""
cd libs/langchain/tests/integration_tests/chains/docker-compose-ontotext-graphdb
./start.sh
"""
@pytest.mark.requires("langchain_open... | langchain/libs/langchain/tests/integration_tests/chains/test_ontotext_graphdb_qa.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/chains/test_ontotext_graphdb_qa.py",
"repo_id": "langchain",
"token_count": 6091
} | 581 |
"""Schema for Blobs and Blob Loaders.
The goal is to facilitate decoupling of content loading from content parsing code.
In addition, content loading code should provide a lazy loading interface by default.
"""
from __future__ import annotations
import contextlib
import mimetypes
from abc import ABC, abstractmethod
... | langchain/libs/community/langchain_community/document_loaders/blob_loaders/schema.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/blob_loaders/schema.py",
"repo_id": "langchain",
"token_count": 2724
} | 246 |
poetry_requirements(
name="poetry",
module_mapping={"weaviate-client": ["weaviate"]}
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/BUILD",
"repo_id": "llama_index",
"token_count": 40
} | 1,499 |
import DocCardList from "@theme/DocCardList";
# Agent Simulations
Agent simulations involve taking multiple agents and having them interact with each other.
They tend to use a simulation environment with an LLM as their "core" and helper classes to prompt them to ingest certain inputs such as prebuilt "observations"... | langchainjs/docs/core_docs/docs/use_cases/agent_simulations/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/agent_simulations/index.mdx",
"repo_id": "langchainjs",
"token_count": 143
} | 766 |
import argparse
import torch
from safetensors.torch import save_file
def convert_motion_module(original_state_dict):
converted_state_dict = {}
for k, v in original_state_dict.items():
if "pos_encoder" in k:
continue
else:
converted_state_dict[
k.replac... | diffusers/scripts/convert_animatediff_motion_lora_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_animatediff_motion_lora_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 642
} | 202 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-steamship/llama_index/readers/steamship/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-steamship/llama_index/readers/steamship/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,423 |
import { AzureBlobStorageContainerLoader } from "langchain/document_loaders/web/azure_blob_storage_container";
const loader = new AzureBlobStorageContainerLoader({
azureConfig: {
connectionString: "",
container: "container_name",
},
unstructuredConfig: {
apiUrl: "http://localhost:8000/general/v0/gene... | langchainjs/examples/src/document_loaders/azure_blob_storage_container.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/azure_blob_storage_container.ts",
"repo_id": "langchainjs",
"token_count": 142
} | 826 |
"""Test Upstash Redis cache functionality."""
import uuid
import pytest
from langchain_core.outputs import Generation, LLMResult
import langchain
from langchain.cache import UpstashRedisCache
from tests.unit_tests.llms.fake_chat_model import FakeChatModel
from tests.unit_tests.llms.fake_llm import FakeLLM
URL = "<UP... | langchain/libs/langchain/tests/integration_tests/cache/test_upstash_redis_cache.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/cache/test_upstash_redis_cache.py",
"repo_id": "langchain",
"token_count": 1169
} | 583 |
# Few Shot Prompt Templates
Few shot prompting is a prompting technique which provides the Large Language Model (LLM) with a list of examples, and then asks the LLM to generate some text following the lead of the examples provided.
An example of this is the following:
Say you want your LLM to respond in a specific f... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/few_shot.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/few_shot.mdx",
"repo_id": "langchainjs",
"token_count": 2648
} | 765 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/jukebox.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/jukebox.md",
"repo_id": "transformers",
"token_count": 1219
} | 456 |
from langchain_community.utilities.searx_search import (
SearxResults,
SearxSearchWrapper,
)
__all__ = ["SearxResults", "SearxSearchWrapper"]
| langchain/libs/langchain/langchain/utilities/searx_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/searx_search.py",
"repo_id": "langchain",
"token_count": 57
} | 607 |
from langchain_community.chat_message_histories.sql import (
BaseMessageConverter,
DefaultMessageConverter,
SQLChatMessageHistory,
)
__all__ = [
"BaseMessageConverter",
"DefaultMessageConverter",
"SQLChatMessageHistory",
]
| langchain/libs/langchain/langchain/memory/chat_message_histories/sql.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/sql.py",
"repo_id": "langchain",
"token_count": 89
} | 547 |
{
"name": "langchainjs",
"version": "0.0.4",
"private": true,
"engines": {
"node": ">=18"
},
"workspaces": [
"langchain",
"langchain-core",
"libs/*",
"examples",
"docs/*"
],
"repository": {
"type": "git",
"url": "https://github.com/langchain-ai/langchainjs.git"
},
"pa... | langchainjs/package.json/0 | {
"file_path": "langchainjs/package.json",
"repo_id": "langchainjs",
"token_count": 1143
} | 988 |
#define MAX_THREADS_PER_BLOCK 1024
#define OPTIMAL_THREADS_PER_BLOCK 256
#define WARP_SIZE 32
#define MAX_NUM_BLOCK_X 2147483647
#define MAX_NUM_BLOCK_Y 65535
#define MAX_NUM_BLOCK_Z 65535
#define MAX_SHARED_MEM_PER_BLOCK 48000
#define FULL_MASK 0xffffffff
| transformers/src/transformers/kernels/yoso/common_cuda.h/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/common_cuda.h",
"repo_id": "transformers",
"token_count": 110
} | 627 |
<jupyter_start><jupyter_text>Elasticsearch>[Elasticsearch](https://www.elastic.co/elasticsearch/) is a distributed, RESTful search and analytics engine, capable of performing both vector and lexical search. It is built on top of the Apache Lucene library.This notebook shows how to use chat message history functionality... | langchain/docs/docs/integrations/memory/elasticsearch_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/elasticsearch_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 852
} | 125 |
<jupyter_start><jupyter_text>LiteLLM LiteLLM supports 100+ LLM APIs (Anthropic, Replicate, Huggingface, TogetherAI, Cohere, etc.). [Complete List](https://docs.litellm.ai/docs/providers) Call `complete` with a prompt If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_cod... | llama_index/docs/examples/llm/litellm.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/litellm.ipynb",
"repo_id": "llama_index",
"token_count": 1478
} | 1,088 |
# Encode Inputs
<tokenizerslangcontent>
<python>
These types represent all the different kinds of input that a [`~tokenizers.Tokenizer`] accepts
when using [`~tokenizers.Tokenizer.encode_batch`].
## TextEncodeInput[[[[tokenizers.TextEncodeInput]]]]
<code>tokenizers.TextEncodeInput</code>
Represents a textual input ... | tokenizers/docs/source-doc-builder/api/encode-inputs.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/encode-inputs.mdx",
"repo_id": "tokenizers",
"token_count": 716
} | 466 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/t2i_adapter/test_t2i_adapter.py/0 | {
"file_path": "diffusers/examples/t2i_adapter/test_t2i_adapter.py",
"repo_id": "diffusers",
"token_count": 682
} | 212 |
# coding=utf-8
# Copyright 2018 Salesforce and 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/models/ctrl/test_tokenization_ctrl.py/0 | {
"file_path": "transformers/tests/models/ctrl/test_tokenization_ctrl.py",
"repo_id": "transformers",
"token_count": 1074
} | 715 |
# 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/tests/models/speech_to_text/test_processor_speech_to_text.py/0 | {
"file_path": "transformers/tests/models/speech_to_text/test_processor_speech_to_text.py",
"repo_id": "transformers",
"token_count": 2448
} | 813 |
/* eslint-disable import/first */
/* eslint-disable arrow-body-style */
/* eslint-disable import/no-duplicates */
import { ChatOpenAI } from "@langchain/openai";
const chat = new ChatOpenAI({
modelName: "gpt-3.5-turbo-1106",
});
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import {
ChatPro... | langchainjs/examples/src/use_cases/chatbots/memory_management.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/chatbots/memory_management.ts",
"repo_id": "langchainjs",
"token_count": 2276
} | 866 |
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { formatDocumentsAsString } from "langchain/util/document";
import { PromptTemplate } from "@langchain/core/prompts";
import {
RunnableSequence,
RunnablePassthrough,
} from "... | langchainjs/examples/src/guides/expression_language/cookbook_conversational_retrieval.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/cookbook_conversational_retrieval.ts",
"repo_id": "langchainjs",
"token_count": 877
} | 804 |
// Code generated by mockery v2.38.0. DO NOT EDIT.
package mocks
import (
context "context"
commonpb "github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
internalpb "github.com/milvus-io/milvus/internal/proto/internalpb"
milvuspb "github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
mock "github.com/stret... | milvus/internal/mocks/mock_rootcoord.go/0 | {
"file_path": "milvus/internal/mocks/mock_rootcoord.go",
"repo_id": "milvus",
"token_count": 41550
} | 1,831 |
"""Test WatsonxLLM API wrapper."""
import os
from langchain_ibm import WatsonxLLM
os.environ.pop("WATSONX_APIKEY", None)
os.environ.pop("WATSONX_PROJECT_ID", None)
def test_initialize_watsonxllm_bad_path_without_url() -> None:
try:
WatsonxLLM(
model_id="google/flan-ul2",
)
excep... | langchain/libs/partners/ibm/tests/unit_tests/test_llms.py/0 | {
"file_path": "langchain/libs/partners/ibm/tests/unit_tests/test_llms.py",
"repo_id": "langchain",
"token_count": 867
} | 689 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.monsterapi import MonsterLLM
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in MonsterLLM.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-monsterapi/tests/test_llms_monsterapi.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-monsterapi/tests/test_llms_monsterapi.py",
"repo_id": "llama_index",
"token_count": 93
} | 1,268 |
import math
import numpy as np
import torch
import torch.nn as nn
from torch.cuda.amp import custom_bwd, custom_fwd
try:
import triton
import triton.language as tl
from . import custom_autotune
# code based https://github.com/fpgaminer/GPTQ-triton
@custom_autotune.autotune(
configs=[
... | text-generation-inference/server/text_generation_server/utils/gptq/quant_linear.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/gptq/quant_linear.py",
"repo_id": "text-generation-inference",
"token_count": 7007
} | 407 |
// 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_simd.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_simd.cpp",
"repo_id": "milvus",
"token_count": 23551
} | 1,769 |
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to... | diffusers/scripts/convert_unclip_txt2img_to_image_variation.py/0 | {
"file_path": "diffusers/scripts/convert_unclip_txt2img_to_image_variation.py",
"repo_id": "diffusers",
"token_count": 554
} | 228 |
"""Simple node parser."""
from typing import Any, Callable, List, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.node_parser.interface import NodeParser
from llama_index.legacy.node_parser.node_utils import ... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/text/sentence_window.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/text/sentence_window.py",
"repo_id": "llama_index",
"token_count": 2182
} | 1,585 |
"""Init file."""
| llama_index/llama-index-core/tests/mock_utils/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/mock_utils/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,319 |
<jupyter_start><jupyter_code>import openai
openai.api_key = "sk-key"
from llama_index.agent import OpenAIAgent
# Import and initialize our tool spec
from llama_index.tools.code_interpreter.base import CodeInterpreterToolSpec
code_spec = CodeInterpreterToolSpec()
tools = code_spec.to_tool_list()
# Create the Agent wi... | llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/examples/code_interpreter.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/examples/code_interpreter.ipynb",
"repo_id": "llama_index",
"token_count": 715
} | 1,562 |
<!--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... | accelerate/docs/source/concept_guides/gradient_synchronization.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/gradient_synchronization.md",
"repo_id": "accelerate",
"token_count": 2385
} | 3 |
import json
import logging
from typing import Any, Dict, Iterator, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from langchain_core.pydantic_v1 import root_val... | langchain/libs/community/langchain_community/llms/pai_eas_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/pai_eas_endpoint.py",
"repo_id": "langchain",
"token_count": 3846
} | 271 |
from langchain_community.document_loaders.diffbot import DiffbotLoader
__all__ = ["DiffbotLoader"]
| langchain/libs/langchain/langchain/document_loaders/diffbot.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/diffbot.py",
"repo_id": "langchain",
"token_count": 29
} | 482 |
"""Agent that interacts with OpenAPI APIs via a hierarchical planning approach."""
import json
import re
from functools import partial
from typing import Any, Callable, Dict, List, Optional, cast
import yaml
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguag... | langchain/libs/community/langchain_community/agent_toolkits/openapi/planner.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/openapi/planner.py",
"repo_id": "langchain",
"token_count": 5336
} | 212 |
import { AzureOpenAI } from "@langchain/azure-openai";
export const run = async () => {
const model = new AzureOpenAI({
modelName: "gpt-4",
temperature: 0.7,
maxTokens: 1000,
maxRetries: 5,
});
const res = await model.invoke(
"Question: What would be a good company name for a company that mak... | langchainjs/examples/src/llms/azure_openai.ts/0 | {
"file_path": "langchainjs/examples/src/llms/azure_openai.ts",
"repo_id": "langchainjs",
"token_count": 132
} | 856 |
# Bilibili Transcript Loader
This loader utilizes the `bilibili_api` to fetch the text transcript from Bilibili, one of the most beloved long-form video sites in China.
With this BilibiliTranscriptReader, users can easily obtain the transcript of their desired video content on the platform.
## Usage
To use this loa... | llama_index/llama-index-integrations/readers/llama-index-readers-bilibili/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bilibili/README.md",
"repo_id": "llama_index",
"token_count": 318
} | 1,342 |
from pathlib import Path
import pytest
from langchain_community.document_loaders import HuggingFaceDatasetLoader
HUGGING_FACE_EXAMPLE_DATASET = str(
Path(__file__).parent / "sample_documents" / "sample_hugging_face_dataset.py"
)
@pytest.mark.requires("datasets")
@pytest.fixture
def test_load_string() -> None:
... | langchain/libs/community/tests/unit_tests/document_loaders/test_hugging_face.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_hugging_face.py",
"repo_id": "langchain",
"token_count": 1088
} | 410 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/bert/convert_bert_token_dropping_original_tf2_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/bert/convert_bert_token_dropping_original_tf2_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 3032
} | 584 |
// 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/scheduler.go/0 | {
"file_path": "milvus/internal/rootcoord/scheduler.go",
"repo_id": "milvus",
"token_count": 1487
} | 1,865 |
# 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/encodec/test_modeling_encodec.py/0 | {
"file_path": "transformers/tests/models/encodec/test_modeling_encodec.py",
"repo_id": "transformers",
"token_count": 11774
} | 721 |
#include <metal_stdlib>
#
using namespace metal;
METAL_FUNC uint get_strided_index(
uint idx,
constant size_t &num_dims,
constant size_t *dims,
constant size_t *strides
) {
uint strided_i = 0;
for (uint d = 0; d < num_dims; d++) {
uint dim_idx = num_dims - 1 - d;
strided_i += (i... | candle/candle-metal-kernels/src/ternary.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/ternary.metal",
"repo_id": "candle",
"token_count": 2209
} | 59 |
# Stable Diffusion XL text-to-image fine-tuning
The `train_text_to_image_sdxl.py` script shows how to fine-tune Stable Diffusion XL (SDXL) on your own dataset.
🚨 This script is experimental. The script fine-tunes the whole model and often times the model overfits and runs into issues like catastrophic forgetting. It... | diffusers/examples/text_to_image/README_sdxl.md/0 | {
"file_path": "diffusers/examples/text_to_image/README_sdxl.md",
"repo_id": "diffusers",
"token_count": 4086
} | 221 |
from langchain.chains.graph_qa.cypher_utils import CypherQueryCorrector, Schema
from langchain_community.chat_models import ChatOpenAI
from langchain_community.graphs import Neo4jGraph
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pyd... | langchain/templates/neo4j-cypher/neo4j_cypher/chain.py/0 | {
"file_path": "langchain/templates/neo4j-cypher/neo4j_cypher/chain.py",
"repo_id": "langchain",
"token_count": 889
} | 696 |
---
sidebar_position: 1
---
# Streaming
Some Chat models provide a streaming response. This means that instead of waiting for the entire response to be returned, you can start processing it as soon as it's available. This is useful if you want to display the response to the user as it's being generated, or if you wan... | langchainjs/docs/core_docs/docs/modules/model_io/chat/streaming.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/chat/streaming.mdx",
"repo_id": "langchainjs",
"token_count": 552
} | 737 |
[package]
name = "text-generation-benchmark"
description = "Text Generation Benchmarking tool"
version.workspace = true
edition.workspace = true
authors.workspace = true
homepage.workspace = true
[lib]
path = "src/lib.rs"
[[bin]]
name = "text-generation-benchmark"
path = "src/main.rs"
[dependencies]
average = "0.14"... | text-generation-inference/benchmark/Cargo.toml/0 | {
"file_path": "text-generation-inference/benchmark/Cargo.toml",
"repo_id": "text-generation-inference",
"token_count": 381
} | 392 |
import { ChatWindow } from "@/components/ChatWindow";
export default function Home() {
const InfoCard = (
<div className="p-4 md:p-8 rounded bg-[#25252d] w-full max-h-[85%] overflow-hidden">
<h1 className="text-3xl md:text-4xl mb-4">
▲ Next.js + LangChain.js 🦜🔗
</h1>
<ul>
<li ... | langchain-nextjs-template/app/page.tsx/0 | {
"file_path": "langchain-nextjs-template/app/page.tsx",
"repo_id": "langchain-nextjs-template",
"token_count": 1323
} | 69 |
import type { YouWebSearch } from "../../types/WebSearch";
import { WebSearchProvider } from "../../types/WebSearch";
import {
SERPAPI_KEY,
SERPER_API_KEY,
SERPSTACK_API_KEY,
USE_LOCAL_WEBSEARCH,
SEARXNG_QUERY_URL,
YDC_API_KEY,
} from "$env/static/private";
import { getJson } from "serpapi";
import type { GoogleP... | chat-ui/src/lib/server/websearch/searchWeb.ts/0 | {
"file_path": "chat-ui/src/lib/server/websearch/searchWeb.ts",
"repo_id": "chat-ui",
"token_count": 1441
} | 93 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
... | transformers/examples/legacy/run_swag.py/0 | {
"file_path": "transformers/examples/legacy/run_swag.py",
"repo_id": "transformers",
"token_count": 12598
} | 542 |
"""Tests for the various PDF parsers."""
from pathlib import Path
from typing import Iterator
import pytest
from langchain_community.document_loaders.base import BaseBlobParser
from langchain_community.document_loaders.blob_loaders import Blob
from langchain_community.document_loaders.parsers.pdf import (
PDFMine... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_pdf_parsers.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_pdf_parsers.py",
"repo_id": "langchain",
"token_count": 1151
} | 404 |
"""HTML node parser."""
from typing import TYPE_CHECKING, Any, List, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.node_parser.interface import NodeParser
from llama_index.legacy.node_parser.node_utils impo... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/file/html.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/file/html.py",
"repo_id": "llama_index",
"token_count": 1952
} | 1,620 |
def test_power_bi_can_be_imported() -> None:
"""Test that powerbi tools can be imported.
The goal of this test is to verify that langchain users will not get import errors
when loading powerbi related code if they don't have optional dependencies
installed.
"""
from langchain_community.tools.po... | langchain/libs/community/tests/unit_tests/tools/powerbi/test_powerbi.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/powerbi/test_powerbi.py",
"repo_id": "langchain",
"token_count": 163
} | 414 |
# coding=utf-8
# Copyright 2018 The Microsoft Research Asia LayoutLM Team Authors, The Hugging Face 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/license... | transformers/tests/models/layoutlm/test_modeling_layoutlm.py/0 | {
"file_path": "transformers/tests/models/layoutlm/test_modeling_layoutlm.py",
"repo_id": "transformers",
"token_count": 8034
} | 718 |
from typing import Any, Dict
import yaml
def set_log_file_path(
log_config_path: str, new_filename: str = "chroma.log"
) -> Dict[str, Any]:
"""This works with the standard log_config.yml file.
It will not work with custom log configs that may use different handlers"""
with open(f"{log_config_path}", ... | chroma/chromadb/cli/utils.py/0 | {
"file_path": "chroma/chromadb/cli/utils.py",
"repo_id": "chroma",
"token_count": 212
} | 15 |
<?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 24.2.0, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg version="1.1" id="Logo" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
viewBox="0 0 248 204" style="enable-background:new 0 0 248 20... | auto-evaluator/nextjs/public/twitter-black.svg/0 | {
"file_path": "auto-evaluator/nextjs/public/twitter-black.svg",
"repo_id": "auto-evaluator",
"token_count": 621
} | 2 |
# 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/pipelines/audio_classification.py/0 | {
"file_path": "transformers/src/transformers/pipelines/audio_classification.py",
"repo_id": "transformers",
"token_count": 3711
} | 681 |
import ReactDOM from "react-dom/client";
import { v4 as uuidv4 } from "uuid";
import App from "./App.tsx";
import "./index.css";
if (document.cookie.indexOf("user_id") === -1) {
document.cookie = `opengpts_user_id=${uuidv4()}`;
}
ReactDOM.createRoot(document.getElementById("root")!).render(<App />);
| opengpts/frontend/src/main.tsx/0 | {
"file_path": "opengpts/frontend/src/main.tsx",
"repo_id": "opengpts",
"token_count": 118
} | 2,142 |
# 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/onnx/config.py/0 | {
"file_path": "transformers/src/transformers/onnx/config.py",
"repo_id": "transformers",
"token_count": 13946
} | 775 |
<jupyter_start><jupyter_text>CLIP Guided Stable Diffusion using [d🧨ffusers](https://github.com/huggingface/diffusers) This notebook shows how to do CLIP guidance with Stable diffusion using diffusers libray. This allows you to use newly released [CLIP models by LAION AI.](https://huggingface.co/laion).This notebook is... | notebooks/diffusers/CLIP_Guided_Stable_diffusion_with_diffusers.ipynb/0 | {
"file_path": "notebooks/diffusers/CLIP_Guided_Stable_diffusion_with_diffusers.ipynb",
"repo_id": "notebooks",
"token_count": 9092
} | 295 |
{
"imports": {
"langchain/": "npm:/langchain/",
"@langchain/community/": "npm:/@langchain/community/",
"@langchain/openai": "npm:@langchain/openai",
"@langchain/core/": "npm:/@langchain/core/",
"dotenv/": "npm:/dotenv/",
"cheerio": "npm:/cheerio",
"@langchain/pinecone": "npm:@langchain/pin... | langchainjs/deno.json/0 | {
"file_path": "langchainjs/deno.json",
"repo_id": "langchainjs",
"token_count": 316
} | 714 |
# Vectara Self Query Retriever
This example shows how to use a self query retriever with a [Vectara](https://vectara.com/) vector store.
If you haven't already set up Vectara, please [follow the instructions here](/docs/integrations/vectorstores/vectara.mdx).
## Usage
import IntegrationInstallTooltip from "@mdx_com... | langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/self_query/vectara-self-query.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/self_query/vectara-self-query.mdx",
"repo_id": "langchainjs",
"token_count": 447
} | 789 |
# `tokenizers-win32-arm64-msvc`
This is the **aarch64-pc-windows-msvc** binary for `tokenizers`
| tokenizers/bindings/node/npm/win32-arm64-msvc/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/win32-arm64-msvc/README.md",
"repo_id": "tokenizers",
"token_count": 38
} | 409 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.litellm import LiteLLM
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in LiteLLM.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-litellm/tests/test_llms_litellm.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-litellm/tests/test_llms_litellm.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,229 |
import glob
import os
from typing import Dict, List, Union
import safetensors.torch
import torch
from huggingface_hub import snapshot_download
from huggingface_hub.utils import validate_hf_hub_args
from diffusers import DiffusionPipeline, __version__
from diffusers.schedulers.scheduling_utils import SCHEDULER_CONFIG_... | diffusers/examples/community/checkpoint_merger.py/0 | {
"file_path": "diffusers/examples/community/checkpoint_merger.py",
"repo_id": "diffusers",
"token_count": 6070
} | 197 |
# Select by length
This example selector selects which examples to use based on length. This is useful when you are worried about constructing a prompt that will go over the length of the context window. For longer inputs, it will select fewer examples to include, while for shorter inputs it will select more.
import ... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/example_selector_types/length_based.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/example_selector_types/length_based.mdx",
"repo_id": "langchainjs",
"token_count": 117
} | 795 |
module.exports = {
extends: [
"airbnb-base",
"eslint:recommended",
"prettier",
"plugin:@typescript-eslint/recommended",
],
parserOptions: {
ecmaVersion: 12,
parser: "@typescript-eslint/parser",
project: "./tsconfig.json",
sourceType: "module",
},
plugins: ["@typescript-eslint",... | langchainjs/libs/langchain-anthropic/.eslintrc.cjs/0 | {
"file_path": "langchainjs/libs/langchain-anthropic/.eslintrc.cjs",
"repo_id": "langchainjs",
"token_count": 931
} | 1,040 |
#!/usr/bin/env 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... | milvus/scripts/collect_arrow_dep.sh/0 | {
"file_path": "milvus/scripts/collect_arrow_dep.sh",
"repo_id": "milvus",
"token_count": 1197
} | 1,857 |
import argparse
import huggingface_hub
import k_diffusion as K
import torch
from diffusers import UNet2DConditionModel
UPSCALER_REPO = "pcuenq/k-upscaler"
def resnet_to_diffusers_checkpoint(resnet, checkpoint, *, diffusers_resnet_prefix, resnet_prefix):
rv = {
# norm1
f"{diffusers_resnet_prefi... | diffusers/scripts/convert_k_upscaler_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_k_upscaler_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 5645
} | 218 |
import { ConversationChain } from "langchain/chains";
import { ChatOpenAI } from "@langchain/openai";
import {
ChatPromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
import { BufferMemory } from "langchain/memory";
const chat = new ChatOpenAI({ temperature: 0 });
const chatPrompt = ChatPromptT... | langchainjs/examples/src/chat/memory.ts/0 | {
"file_path": "langchainjs/examples/src/chat/memory.ts",
"repo_id": "langchainjs",
"token_count": 265
} | 825 |
import json
import logging
from time import time
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
message_to_dict,
messages_from_dict,
)
if TYPE_CHECKING:
from elasticsearch imp... | langchain/libs/community/langchain_community/chat_message_histories/elasticsearch.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/elasticsearch.py",
"repo_id": "langchain",
"token_count": 3213
} | 220 |
// 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_integer_overflow.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_integer_overflow.cpp",
"repo_id": "milvus",
"token_count": 6908
} | 1,677 |
import { ChatOpenAI } from "@langchain/openai";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { HttpResponseOutputParser } from "langchain/output_parsers";
const TEMPLATE = `You are a pirate named Patchy. All responses must be extremely verbose and in pirate dialect.
{input}`;
const prompt = C... | langchainjs/examples/src/guides/deployment/error_handling.ts/0 | {
"file_path": "langchainjs/examples/src/guides/deployment/error_handling.ts",
"repo_id": "langchainjs",
"token_count": 533
} | 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/rootcoord/create_db_task_test.go/0 | {
"file_path": "milvus/internal/rootcoord/create_db_task_test.go",
"repo_id": "milvus",
"token_count": 1398
} | 1,782 |
package querycoord
import (
"fmt"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"github.com/samber/lo"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus/internal/kv"
"github.com/milvus-io/milvus/internal/proto/querypb"
)
var ErrInvalidKey = errors.New("i... | milvus/internal/metastore/kv/querycoord/kv_catalog.go/0 | {
"file_path": "milvus/internal/metastore/kv/querycoord/kv_catalog.go",
"repo_id": "milvus",
"token_count": 2483
} | 1,996 |
# 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/tests/models/auto/test_processor_auto.py/0 | {
"file_path": "transformers/tests/models/auto/test_processor_auto.py",
"repo_id": "transformers",
"token_count": 9296
} | 745 |
try:
import pydantic.v1 as pydantic
from pydantic.v1 import (
BaseConfig,
BaseModel,
Field,
PrivateAttr,
StrictFloat,
StrictInt,
StrictStr,
create_model,
root_validator,
validator,
)
from pydantic.v1.error_wrappers import Va... | llama_index/llama-index-legacy/llama_index/legacy/bridge/pydantic.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/bridge/pydantic.py",
"repo_id": "llama_index",
"token_count": 527
} | 1,691 |
# candle-flash-attn
| candle/candle-flash-attn/README.md/0 | {
"file_path": "candle/candle-flash-attn/README.md",
"repo_id": "candle",
"token_count": 8
} | 48 |
from typing import Any, Dict, List, cast
from hypothesis import given, settings, HealthCheck
import pytest
from chromadb.api import ServerAPI
from chromadb.test.property import invariants
from chromadb.api.types import (
Document,
Embedding,
Embeddings,
GetResult,
IDs,
Metadata,
Metadatas,
... | chroma/chromadb/test/property/test_filtering.py/0 | {
"file_path": "chroma/chromadb/test/property/test_filtering.py",
"repo_id": "chroma",
"token_count": 5288
} | 24 |
import pytest
from langchain_core.agents import (
AgentActionMessageLog,
AgentFinish,
)
from langchain_core.exceptions import OutputParserException
from langchain_core.messages import AIMessage, SystemMessage
from langchain.agents.output_parsers.openai_functions import (
OpenAIFunctionsAgentOutputParser,
)... | langchain/libs/langchain/tests/unit_tests/agents/output_parsers/test_openai_functions.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/output_parsers/test_openai_functions.py",
"repo_id": "langchain",
"token_count": 1178
} | 599 |
from enum import Enum
from typing import List, Tuple, Union
Offsets = Tuple[int, int]
TextInputSequence = str
"""A :obj:`str` that represents an input sequence """
PreTokenizedInputSequence = Union[List[str], Tuple[str]]
"""A pre-tokenized input sequence. Can be one of:
- A :obj:`List` of :obj:`str`
- A :o... | tokenizers/bindings/python/py_src/tokenizers/__init__.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/__init__.py",
"repo_id": "tokenizers",
"token_count": 984
} | 402 |
# rag-self-query
This template performs RAG using the self-query retrieval technique. The main idea is to let an LLM convert unstructured queries into structured queries. See the [docs for more on how this works](https://python.langchain.com/docs/modules/data_connection/retrievers/self_query).
## Environment Setup
I... | langchain/templates/rag-self-query/README.md/0 | {
"file_path": "langchain/templates/rag-self-query/README.md",
"repo_id": "langchain",
"token_count": 899
} | 745 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/generation_strategies.md/0 | {
"file_path": "transformers/docs/source/ja/generation_strategies.md",
"repo_id": "transformers",
"token_count": 8929
} | 540 |
// 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/core/unittest/test_utils/c_api_test_utils.h/0 | {
"file_path": "milvus/internal/core/unittest/test_utils/c_api_test_utils.h",
"repo_id": "milvus",
"token_count": 2531
} | 1,760 |
# flake8: noqa
import os
import warnings
from typing import Any, Dict, List, Optional, Union
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.outputs import LLMResult
class DeepEvalCallbackHandler(BaseCallbackHandler):
"""Call... | langchain/libs/community/langchain_community/callbacks/confident_callback.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/confident_callback.py",
"repo_id": "langchain",
"token_count": 2914
} | 229 |
<jupyter_start><jupyter_text>Baidu QianfanBaidu AI Cloud Qianfan Platform is a one-stop large model development and service operation platform for enterprise developers. Qianfan not only provides including the model of Wenxin Yiyan (ERNIE-Bot) and the third-party open-source models, but also provides various AI develop... | langchain/docs/docs/integrations/text_embedding/baidu_qianfan_endpoint.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/baidu_qianfan_endpoint.ipynb",
"repo_id": "langchain",
"token_count": 932
} | 167 |
<jupyter_start><jupyter_text>PubMed>[PubMed®](https://pubmed.ncbi.nlm.nih.gov/) comprises more than 35 million citations for biomedical literature from `MEDLINE`, life science journals, and online books. Citations may include links to full text content from PubMed Central and publisher web sites.This notebook goes over... | langchain/docs/docs/integrations/tools/pubmed.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/pubmed.ipynb",
"repo_id": "langchain",
"token_count": 156
} | 177 |
.. _Ref-Indices-Table:
Table Index
===========
Building the Keyword Table Index
.. automodule:: llama_index.core.indices.keyword_table
:members:
:inherited-members:
| llama_index/docs/api_reference/indices/table.rst/0 | {
"file_path": "llama_index/docs/api_reference/indices/table.rst",
"repo_id": "llama_index",
"token_count": 62
} | 1,091 |
import pytest
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel, CheckTasks
from utils.util_pymilvus import *
from deploy.base import TestDeployBase
from deploy import common as dc
from deploy.common import gen_index_param, gen_search_param
default_nb =... | milvus/tests/python_client/deploy/testcases/test_action_before_reinstall.py/0 | {
"file_path": "milvus/tests/python_client/deploy/testcases/test_action_before_reinstall.py",
"repo_id": "milvus",
"token_count": 1636
} | 1,977 |
import { Milvus } from "@langchain/community/vectorstores/milvus";
import { OpenAIEmbeddings } from "@langchain/openai";
export const run = async () => {
const vectorStore = await Milvus.fromTexts(
["Hello world", "Bye bye", "hello nice world"],
[{ id: 2 }, { id: 1 }, { id: 3 }],
new OpenAIEmbeddings()
... | langchainjs/examples/src/indexes/vector_stores/milvus.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/milvus.ts",
"repo_id": "langchainjs",
"token_count": 148
} | 876 |
const defaultTheme = require("tailwindcss/defaultTheme");
const colors = require("tailwindcss/colors");
import dotenv from "dotenv";
dotenv.config({ path: "./.env" });
/** @type {import('tailwindcss').Config} */
export default {
darkMode: "class",
content: ["./src/**/*.{html,js,svelte,ts}"],
theme: {
extend: {
... | chat-ui/tailwind.config.cjs/0 | {
"file_path": "chat-ui/tailwind.config.cjs",
"repo_id": "chat-ui",
"token_count": 276
} | 107 |
# Display Trace Links
[](https://github.com/langchain-ai/langsmith-cookbook/tree/main/./tracing-examples/show-trace-url-streamlit/README.md)
When developing, adding a trace link in your UI can help you save time debugging.
In this walkthr... | langsmith-cookbook/tracing-examples/show-trace-url-streamlit/README.md/0 | {
"file_path": "langsmith-cookbook/tracing-examples/show-trace-url-streamlit/README.md",
"repo_id": "langsmith-cookbook",
"token_count": 492
} | 1,064 |
from typing import Any, Sequence, Union
from langchain_core.load.serializable import Serializable
from langchain_core.runnables import RunnableBinding, RunnableConfig, RunnableLambda
from langchain_core.tools import BaseTool
INVALID_TOOL_MSG_TEMPLATE = (
"{requested_tool_name} is not a valid tool, "
"try one ... | langgraph/langgraph/prebuilt/tool_executor.py/0 | {
"file_path": "langgraph/langgraph/prebuilt/tool_executor.py",
"repo_id": "langgraph",
"token_count": 1050
} | 1,038 |
<!--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/ja/tasks/sequence_classification.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/sequence_classification.md",
"repo_id": "transformers",
"token_count": 10645
} | 553 |
"""Steamship Utils."""
from __future__ import annotations
import uuid
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from steamship import Block, Steamship
def make_image_public(client: Steamship, block: Block) -> str:
"""Upload a block to a signed URL and return the public URL."""
try:
from... | langchain/libs/community/langchain_community/tools/steamship_image_generation/utils.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/steamship_image_generation/utils.py",
"repo_id": "langchain",
"token_count": 647
} | 317 |
use serde::Deserialize;
#[derive(Deserialize)]
pub(crate) struct GrpcSysDbConfig {
pub(crate) host: String,
pub(crate) port: u16,
}
#[derive(Deserialize)]
pub(crate) enum SysDbConfig {
Grpc(GrpcSysDbConfig),
}
| chroma/rust/worker/src/sysdb/config.rs/0 | {
"file_path": "chroma/rust/worker/src/sysdb/config.rs",
"repo_id": "chroma",
"token_count": 100
} | 62 |
# coding=utf-8
# Copyright 2021 Google AI, Google Brain 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
#
# U... | transformers/src/transformers/models/fnet/tokenization_fnet_fast.py/0 | {
"file_path": "transformers/src/transformers/models/fnet/tokenization_fnet_fast.py",
"repo_id": "transformers",
"token_count": 3566
} | 635 |
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