text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Copyright (c) 2022 Dominic Rampas MIT License
# 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/licen... | diffusers/src/diffusers/pipelines/wuerstchen/modeling_paella_vq_model.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wuerstchen/modeling_paella_vq_model.py",
"repo_id": "diffusers",
"token_count": 3046
} | 262 |
<jupyter_start><jupyter_text>Analyze a single long documentThe AnalyzeDocumentChain takes in a single document, splits it up, and then runs it through a CombineDocumentsChain.<jupyter_code>with open("../docs/docs/modules/state_of_the_union.txt") as f:
state_of_the_union = f.read()
from langchain.chains import Analy... | langchain/cookbook/analyze_document.ipynb/0 | {
"file_path": "langchain/cookbook/analyze_document.ipynb",
"repo_id": "langchain",
"token_count": 259
} | 69 |
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional
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 i... | langchain/libs/community/langchain_community/llms/replicate.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/replicate.py",
"repo_id": "langchain",
"token_count": 3618
} | 273 |
# Opensearch Loader
The Opensearch Loader returns a set of texts corresponding to documents retrieved from an Opensearch index.
The user initializes the loader with an Opensearch index. They then pass in a field, and optionally a JSON query DSL object to fetch the fields they want.
## Usage
Here's an example usage o... | llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/README.md",
"repo_id": "llama_index",
"token_count": 339
} | 1,360 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/pegasus.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/pegasus.md",
"repo_id": "transformers",
"token_count": 1966
} | 513 |
# RetrievalQA
This example shows how to expose a RetrievalQA chain as a ChatGPTPlugin.
Step 1: Ingest documents. To run the example, run `python ingest.py`
Step 2: Make any modifications to `chain.py` as you see fit (changing prompts, etc.)
Step 3: Make any changes to `constants.py` as you see fit (this is where yo... | langchain-aiplugin/retrieval_qa/README.md/0 | {
"file_path": "langchain-aiplugin/retrieval_qa/README.md",
"repo_id": "langchain-aiplugin",
"token_count": 105
} | 65 |
from llama_index.llms.neutrino.base import Neutrino
__all__ = ["Neutrino"]
| llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,317 |
import logging
from importlib.metadata import version
from types import ModuleType
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type
import openai
from packaging.version import parse
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,... | llama_index/llama-index-legacy/llama_index/legacy/llms/konko_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/konko_utils.py",
"repo_id": "llama_index",
"token_count": 3160
} | 1,574 |
<!--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/perf_train_gpu_many.md/0 | {
"file_path": "transformers/docs/source/ja/perf_train_gpu_many.md",
"repo_id": "transformers",
"token_count": 18207
} | 551 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_combined.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_combined.py",
"repo_id": "diffusers",
"token_count": 6108
} | 290 |
engine-strict=true
| chat-ui/.npmrc/0 | {
"file_path": "chat-ui/.npmrc",
"repo_id": "chat-ui",
"token_count": 7
} | 89 |
---
sidebar_position: 4
title: Adding memory
hide_table_of_contents: true
---
# Adding memory
This shows how to add memory to an arbitrary chain. Right now, you can use the memory classes but need to hook them up manually.
<details>
<summary>Interactive tutorial</summary>
The screencast below interactively walks... | langchainjs/docs/core_docs/docs/expression_language/cookbook/adding_memory.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/expression_language/cookbook/adding_memory.mdx",
"repo_id": "langchainjs",
"token_count": 304
} | 724 |
<jupyter_start><jupyter_text>Efficient Large Language Model training with LoRA and Hugging FaceIn this sagemaker example, we are going to learn how to apply [Low-Rank Adaptation of Large Language Models (LoRA)](https://arxiv.org/abs/2106.09685) to fine-tune BLOOMZ (7 billion parameter version instruction tuned version ... | notebooks/sagemaker/24_train_bloom_peft_lora/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/24_train_bloom_peft_lora/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 4824
} | 315 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "prompts",
newEntrypointName: "prompts",
newPackageName: "@langchain/core",
});
export {
BasePromptTemplate,
type BasePromptTemplateInput,
StringPromptValue... | langchainjs/langchain/src/prompts/index.ts/0 | {
"file_path": "langchainjs/langchain/src/prompts/index.ts",
"repo_id": "langchainjs",
"token_count": 507
} | 900 |
from llama_index.extractors.marvin.base import MarvinMetadataExtractor
__all__ = ["MarvinMetadataExtractor"]
| llama_index/llama-index-integrations/extractors/llama-index-extractors-marvin/llama_index/extractors/marvin/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/extractors/llama-index-extractors-marvin/llama_index/extractors/marvin/__init__.py",
"repo_id": "llama_index",
"token_count": 35
} | 1,262 |
<!--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... | peft/docs/source/install.md/0 | {
"file_path": "peft/docs/source/install.md",
"repo_id": "peft",
"token_count": 436
} | 335 |
from importlib import import_module
from .logging import get_logger
logger = get_logger(__name__)
class _PatchedModuleObj:
"""Set all the modules components as attributes of the _PatchedModuleObj object."""
def __init__(self, module, attrs=None):
attrs = attrs or []
if module is not None:
... | datasets/src/datasets/utils/patching.py/0 | {
"file_path": "datasets/src/datasets/utils/patching.py",
"repo_id": "datasets",
"token_count": 2222
} | 136 |
# rag-aws-bedrock
This template is designed to connect with the AWS Bedrock service, a managed server that offers a set of foundation models.
It primarily uses the `Anthropic Claude` for text generation and `Amazon Titan` for text embedding, and utilizes FAISS as the vectorstore.
For additional context on the RAG p... | langchain/templates/rag-aws-bedrock/README.md/0 | {
"file_path": "langchain/templates/rag-aws-bedrock/README.md",
"repo_id": "langchain",
"token_count": 804
} | 725 |
import { NodeHandler } from "./base.js";
import { ArrayLiteralExpressionHandler } from "./array_literal_expression_handler.js";
import { BooleanLiteralHandler } from "./boolean_literal_handler.js";
import { CallExpressionHandler } from "./call_expression_handler.js";
import { NumericLiteralHandler } from "./numeric_lit... | langchainjs/langchain/src/output_parsers/expression_type_handlers/factory.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/factory.ts",
"repo_id": "langchainjs",
"token_count": 790
} | 936 |
# coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lice... | transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_tf_{{cookiecutter.lowercase_modelname}}.py/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_tf_{{cookiecutter.lowercase_modelname}}.py",
"repo_id": "transformers",
"token_count": 57175
} | 699 |
# 여러 GPU를 사용한 분산 추론
분산 설정에서는 여러 개의 프롬프트를 동시에 생성할 때 유용한 🤗 [Accelerate](https://huggingface.co/docs/accelerate/index) 또는 [PyTorch Distributed](https://pytorch.org/tutorials/beginner/dist_overview.html)를 사용하여 여러 GPU에서 추론을 실행할 수 있습니다.
이 가이드에서는 분산 추론을 위해 🤗 Accelerate와 PyTorch Distributed를 사용하는 방법을 보여드립니다.
## 🤗 Acceler... | diffusers/docs/source/ko/training/distributed_inference.md/0 | {
"file_path": "diffusers/docs/source/ko/training/distributed_inference.md",
"repo_id": "diffusers",
"token_count": 2604
} | 197 |
"""Test pydantic output parser."""
import pytest
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.output_parsers.pydantic import PydanticOutputParser
class AttrDict(BaseModel):
test_attr: str
foo: int
class TestModel(BaseModel):
__test__ = False
title: str
attr_d... | llama_index/llama-index-legacy/tests/output_parsers/test_pydantic.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/output_parsers/test_pydantic.py",
"repo_id": "llama_index",
"token_count": 527
} | 1,674 |
"""Test BigQuery Vector Search.
In order to run this test, you need to install Google Cloud BigQuery SDK
pip install google-cloud-bigquery
Your end-user credentials would be used to make the calls (make sure you've run
`gcloud auth login` first).
"""
import os
import uuid
import pytest
from langchain_community.vecto... | langchain/libs/community/tests/integration_tests/vectorstores/test_bigquery_vector_search.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_bigquery_vector_search.py",
"repo_id": "langchain",
"token_count": 1284
} | 356 |
<jupyter_start><jupyter_text>OpenAI Agent + Query Engine Experimental CookbookIn this notebook, we try out the OpenAIAgent across a variety of query engine tools and datasets. We explore how OpenAIAgent can compare/replace existing workflows solved by our retrievers/query engines.- Auto retrieval - Joint SQL and vector... | llama_index/docs/examples/agent/openai_agent_query_cookbook.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_agent_query_cookbook.ipynb",
"repo_id": "llama_index",
"token_count": 5567
} | 1,042 |
// 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/syncmgr/task.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/task.go",
"repo_id": "milvus",
"token_count": 4523
} | 1,709 |
# Dual Path Network (DPN)
A **Dual Path Network (DPN)** is a convolutional neural network which presents a new topology of connection paths internally. The intuition is that [ResNets](https://paperswithcode.com/method/resnet) enables feature re-usage while DenseNet enables new feature exploration, and both are importa... | pytorch-image-models/docs/models/.templates/models/dpn.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/dpn.md",
"repo_id": "pytorch-image-models",
"token_count": 2889
} | 315 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/query/PlanProto.h/0 | {
"file_path": "milvus/internal/core/src/query/PlanProto.h",
"repo_id": "milvus",
"token_count": 1838
} | 1,792 |
from langchain_community.agent_toolkits.steam.toolkit import SteamToolkit
__all__ = ["SteamToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/steam/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/steam/toolkit.py",
"repo_id": "langchain",
"token_count": 32
} | 470 |
# flake8: noqa
from langchain_core.prompts import PromptTemplate
SONG_DATA_SOURCE = """\
```json
{{
"content": "Lyrics of a song",
"attributes": {{
"artist": {{
"type": "string",
"description": "Name of the song artist"
}},
"length": {{
"type": "integ... | langchain/libs/langchain/langchain/chains/query_constructor/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/query_constructor/prompt.py",
"repo_id": "langchain",
"token_count": 2273
} | 488 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/scripts/convert_original_audioldm_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_original_audioldm_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 19401
} | 235 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/markuplm/test_feature_extraction_markuplm.py/0 | {
"file_path": "transformers/tests/models/markuplm/test_feature_extraction_markuplm.py",
"repo_id": "transformers",
"token_count": 1485
} | 736 |
from langchain_community.document_loaders.gutenberg import GutenbergLoader
__all__ = ["GutenbergLoader"]
| langchain/libs/langchain/langchain/document_loaders/gutenberg.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/gutenberg.py",
"repo_id": "langchain",
"token_count": 28
} | 485 |
from typing import Dict, Tuple
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
)
from langchain.retrievers.self_query.elasticsearch import ElasticsearchTranslator
DEFAULT_TRANSLATOR = ElasticsearchTranslator()
def test_visit_compa... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_elasticsearch.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_elasticsearch.py",
"repo_id": "langchain",
"token_count": 5859
} | 630 |
import { PromptTemplate } from "@langchain/core/prompts";
const template = `You are assessing a submitted answer on a given task or input based on a set of criteria. Here is the data:
[BEGIN DATA]
***
[Input]: {input}
***
[Submission]: {output}
***
[Criteria]: {criteria}
***
[END DATA]
Does the submission meet the Cri... | langchainjs/langchain/src/evaluation/criteria/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/evaluation/criteria/prompt.ts",
"repo_id": "langchainjs",
"token_count": 470
} | 932 |
# Auto-fixing parser
This output parser wraps another output parser, and in the event that the first one fails it calls out to another LLM to fix any errors.
But we can do other things besides throw errors. Specifically, we can pass the misformatted output, along with the formatted instructions, to the model and ask ... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/output_fixing.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/output_fixing.mdx",
"repo_id": "langchainjs",
"token_count": 220
} | 751 |
<jupyter_start><jupyter_text>RetrievalQA Chain[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/hub-examples/retrieval-qa-chain/retrieval-qa.ipynb)Developing a production-grade LLM application requires many refinements, but tracking multiple versions of prompts, models, and other com... | langsmith-cookbook/hub-examples/retrieval-qa-chain/retrieval-qa.ipynb/0 | {
"file_path": "langsmith-cookbook/hub-examples/retrieval-qa-chain/retrieval-qa.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 2113
} | 1,039 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/sam/image_processing_sam.py/0 | {
"file_path": "transformers/src/transformers/models/sam/image_processing_sam.py",
"repo_id": "transformers",
"token_count": 29198
} | 739 |
import argparse
import glob
import logging
import os
from argparse import Namespace
from importlib import import_module
import numpy as np
import torch
from lightning_base import BaseTransformer, add_generic_args, generic_train
from seqeval.metrics import accuracy_score, f1_score, precision_score, recall_score
from to... | transformers/examples/legacy/pytorch-lightning/run_ner.py/0 | {
"file_path": "transformers/examples/legacy/pytorch-lightning/run_ner.py",
"repo_id": "transformers",
"token_count": 4295
} | 569 |
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
};
| langchainjs/docs/api_refs/postcss.config.js/0 | {
"file_path": "langchainjs/docs/api_refs/postcss.config.js",
"repo_id": "langchainjs",
"token_count": 38
} | 765 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/clap/configuration_clap.py/0 | {
"file_path": "transformers/src/transformers/models/clap/configuration_clap.py",
"repo_id": "transformers",
"token_count": 7965
} | 612 |
# 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_layoutlmv3.py/0 | {
"file_path": "transformers/tests/models/layoutlmv3/test_modeling_layoutlmv3.py",
"repo_id": "transformers",
"token_count": 7600
} | 808 |
from __future__ import annotations
from typing import Any, Tuple
from langchain_community.vectorstores.redis import Redis
from langchain_community.vectorstores.redis.filters import (
RedisFilterExpression,
RedisFilterField,
RedisFilterOperator,
RedisNum,
RedisTag,
RedisText,
)
from langchain_c... | langchain/libs/langchain/langchain/retrievers/self_query/redis.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/self_query/redis.py",
"repo_id": "langchain",
"token_count": 1423
} | 585 |
# LlamaIndex Llms Integration: Perplexity
| llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,237 |
import logging
from typing import List
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.language_models import BaseLLM
from langchain_core.prompts.prompt import PromptTemplate
from lan... | langchain/libs/langchain/langchain/retrievers/re_phraser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/re_phraser.py",
"repo_id": "langchain",
"token_count": 1068
} | 583 |
import { ChatCohere } from "@langchain/cohere";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { StringOutputParser } from "@langchain/core/output_parsers";
const model = new ChatCohere({
apiKey: process.env.COHERE_API_KEY, // Default
model: "command", // Default
});
const prompt = ChatPrompt... | langchainjs/examples/src/models/chat/cohere/chat_stream_cohere.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/cohere/chat_stream_cohere.ts",
"repo_id": "langchainjs",
"token_count": 375
} | 832 |
from __future__ import annotations
import json
import logging
import uuid
from typing import Any, Iterable, List, Optional, Type
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from langchain_core.vectorstores import ... | langchain/libs/community/langchain_community/vectorstores/tair.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/tair.py",
"repo_id": "langchain",
"token_count": 4855
} | 336 |
import json
import os
import unittest
import tqdm
from huggingface_hub import HfApi, cached_download, hf_hub_url
from tokenizers import Tokenizer
from .utils import albert_base, data_dir
class TestSerialization:
def test_full_serialization_albert(self, albert_base):
# Check we can read this file.
... | tokenizers/bindings/python/tests/test_serialization.py/0 | {
"file_path": "tokenizers/bindings/python/tests/test_serialization.py",
"repo_id": "tokenizers",
"token_count": 1251
} | 454 |
package proxy
import (
"context"
"fmt"
"strconv"
"strings"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"github.com/samber/lo"
"go.uber.org/zap"
"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-... | milvus/internal/proxy/task_query.go/0 | {
"file_path": "milvus/internal/proxy/task_query.go",
"repo_id": "milvus",
"token_count": 7806
} | 1,968 |
from langchain_community.tools.gmail.get_thread import GetThreadSchema, GmailGetThread
__all__ = ["GetThreadSchema", "GmailGetThread"]
| langchain/libs/langchain/langchain/tools/gmail/get_thread.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/gmail/get_thread.py",
"repo_id": "langchain",
"token_count": 41
} | 588 |
from langchain_core.vectorstores import VectorStore, VectorStoreRetriever
__all__ = ["VectorStore", "VectorStoreRetriever"]
| langchain/libs/langchain/langchain/vectorstores/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/base.py",
"repo_id": "langchain",
"token_count": 35
} | 603 |
package predicates
// PredicateTarget is enum for Predicate target type.
type PredicateTarget int32
const (
// PredTargetValue is predicate target for key-value perid
PredTargetValue PredicateTarget = iota + 1
)
type PredicateType int32
const (
PredTypeEqual PredicateType = iota + 1
)
// Predicate provides inte... | milvus/internal/kv/predicates/predicate.go/0 | {
"file_path": "milvus/internal/kv/predicates/predicate.go",
"repo_id": "milvus",
"token_count": 459
} | 1,718 |
python_sources()
| llama_index/llama-index-core/llama_index/core/storage/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/storage/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,248 |
# Azure AI Search connection settings
AZURE_AISEARCH_ENDPOINT=
AZURE_AISEARCH_KEY=
# If you're using Azure OpenAI API, you'll need to set these variables
AZURE_OPENAI_API_KEY=
AZURE_OPENAI_API_INSTANCE_NAME=
AZURE_OPENAI_API_DEPLOYMENT_NAME=
AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=
AZURE_OPENAI_API_VERSION=
# Or ... | langchainjs/examples/src/indexes/vector_stores/azure_aisearch/.env.example/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/azure_aisearch/.env.example",
"repo_id": "langchainjs",
"token_count": 151
} | 783 |
python_sources()
| llama_index/llama-index-core/llama_index/core/agent/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,195 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include <assert.h>
#include <stdint.h>
#include <stdlib.h>
#include <cuda_fp16.h>
#if defined(__CUDA_ARCH__) ... | candle/candle-flash-attn/kernels/utils.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/utils.h",
"repo_id": "candle",
"token_count": 6965
} | 55 |
// 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/metacache/actions.go/0 | {
"file_path": "milvus/internal/datanode/metacache/actions.go",
"repo_id": "milvus",
"token_count": 1288
} | 1,841 |
"""Python agent."""
from typing import Any, Dict, Optional
from langchain.agents.agent import AgentExecutor, BaseSingleActionAgent
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent
from langchain.agents.types import AgentType
from langch... | langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/python/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/python/base.py",
"repo_id": "langchain",
"token_count": 855
} | 424 |
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.query_pipeline.query_component import (
ChainableMixin,
InputKeys,
OutputKeys,
Quer... | llama_index/llama-index-legacy/llama_index/legacy/postprocessor/types.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/postprocessor/types.py",
"repo_id": "llama_index",
"token_count": 1604
} | 1,694 |
<!--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/performance.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/performance.md",
"repo_id": "accelerate",
"token_count": 1463
} | 3 |
"""ZHIPU AI chat models wrapper."""
from __future__ import annotations
import asyncio
import json
import logging
from functools import partial
from typing import Any, Dict, Iterator, List, Optional, cast
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.chat_models impo... | langchain/libs/community/langchain_community/chat_models/zhipuai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/zhipuai.py",
"repo_id": "langchain",
"token_count": 4806
} | 241 |
import pytest
from text_generation.types import Parameters, Request
from text_generation.errors import ValidationError
def test_parameters_validation():
# Test best_of
Parameters(best_of=1)
with pytest.raises(ValidationError):
Parameters(best_of=0)
with pytest.raises(ValidationError):
... | text-generation-inference/clients/python/tests/test_types.py/0 | {
"file_path": "text-generation-inference/clients/python/tests/test_types.py",
"repo_id": "text-generation-inference",
"token_count": 984
} | 359 |
# 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/__init__.py/0 | {
"file_path": "transformers/src/transformers/__init__.py",
"repo_id": "transformers",
"token_count": 164804
} | 547 |
import os
from typing import Dict, List, Generator
import pytest
from llama_index.core.schema import NodeRelationship, RelatedNodeInfo, TextNode
from llama_index.vector_stores.chroma import ChromaVectorStore
from llama_index.core.vector_stores.types import VectorStoreQuery
##
# Run tests
# cd tests/vector_stores
# py... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/tests/test_chromadb.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/tests/test_chromadb.py",
"repo_id": "llama_index",
"token_count": 2456
} | 1,515 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py/0 | {
"file_path": "transformers/tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py",
"repo_id": "transformers",
"token_count": 2700
} | 850 |
# coding=utf-8
# Copyright 2023 The Mega 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 r... | transformers/src/transformers/models/mega/configuration_mega.py/0 | {
"file_path": "transformers/src/transformers/models/mega/configuration_mega.py",
"repo_id": "transformers",
"token_count": 4928
} | 698 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "schema/storage",
newEntrypointName: "stores",
newPackageName: "@langchain/core",
});
export * from "@langchain/core/stores";
| langchainjs/langchain/src/schema/storage.ts/0 | {
"file_path": "langchainjs/langchain/src/schema/storage.ts",
"repo_id": "langchainjs",
"token_count": 90
} | 935 |
# coding=utf-8
# 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 requir... | diffusers/utils/release.py/0 | {
"file_path": "diffusers/utils/release.py",
"repo_id": "diffusers",
"token_count": 2306
} | 277 |
import ReactDOM from "react-dom/client";
import App from "./App.tsx";
import dayjs from "dayjs";
import utc from "dayjs/plugin/utc";
import relativeDate from "dayjs/plugin/relativeTime";
dayjs.extend(relativeDate);
dayjs.extend(utc);
ReactDOM.createRoot(document.getElementById("root")!).render(<App />);
| langserve/langserve/playground/src/main.tsx/0 | {
"file_path": "langserve/langserve/playground/src/main.tsx",
"repo_id": "langserve",
"token_count": 106
} | 1,087 |
# flake8: noqa
from __future__ import annotations
import re
from typing import List
from langchain.prompts.prompt import PromptTemplate
from langchain.schema import BaseOutputParser, OutputParserException
_PROMPT_TEMPLATE = """If someone asks you to perform a task, your job is to come up with a series of bash comman... | langchain/libs/experimental/langchain_experimental/llm_bash/prompt.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/llm_bash/prompt.py",
"repo_id": "langchain",
"token_count": 728
} | 419 |
# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/spearmanr/spearmanr.py/0 | {
"file_path": "datasets/metrics/spearmanr/spearmanr.py",
"repo_id": "datasets",
"token_count": 1942
} | 134 |
# Creating documents
A document at its core is fairly simple. It consists of a piece of text and optional metadata. The piece of text is what we interact with the language model, while the optional metadata is useful for keeping track of metadata about the document (such as the source).
```typescript
interface Docume... | langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/creating_documents.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/creating_documents.mdx",
"repo_id": "langchainjs",
"token_count": 201
} | 730 |
"""Base object types."""
import pickle
import warnings
from typing import Any, Dict, Generic, List, Optional, Sequence, Type, TypeVar
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_retriever import BaseRetriever
from... | llama_index/llama-index-legacy/llama_index/legacy/objects/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/objects/base.py",
"repo_id": "llama_index",
"token_count": 2705
} | 1,623 |
from typing import Iterator, List
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_core.prompts.chat import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain.c... | langchain/libs/langchain/langchain/chains/openai_functions/citation_fuzzy_match.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/openai_functions/citation_fuzzy_match.py",
"repo_id": "langchain",
"token_count": 1380
} | 485 |
package datacoord
import (
"context"
"testing"
"time"
"github.com/cockroachdb/errors"
"github.com/samber/lo"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/require"
"github.com/stretchr/testify/suite"
"go.uber.org/zap"
"google.golang.org/grpc/codes"
gr... | milvus/internal/datacoord/services_test.go/0 | {
"file_path": "milvus/internal/datacoord/services_test.go",
"repo_id": "milvus",
"token_count": 18671
} | 1,832 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "stores/message/momento",
});
export * from "@langchain/community/stores/message/momento";
| langchainjs/langchain/src/stores/message/momento.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/momento.ts",
"repo_id": "langchainjs",
"token_count": 75
} | 953 |
<!--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 to... | transformers/docs/source/en/llm_tutorial_optimization.md/0 | {
"file_path": "transformers/docs/source/en/llm_tutorial_optimization.md",
"repo_id": "transformers",
"token_count": 14705
} | 452 |
use crate::parallelism::*;
use crate::tokenizer::{Encoding, Result};
use serde::{Deserialize, Serialize};
/// The various possible padding directions.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
pub enum PaddingDirection {
Left,
Right,
}
impl std::convert::AsRef<str> for PaddingDirection {
fn as... | tokenizers/tokenizers/src/utils/padding.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/padding.rs",
"repo_id": "tokenizers",
"token_count": 2049
} | 459 |
# coding=utf-8
# Copyright 2022 Microsoft Research Asia and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licen... | transformers/src/transformers/models/conditional_detr/modeling_conditional_detr.py/0 | {
"file_path": "transformers/src/transformers/models/conditional_detr/modeling_conditional_detr.py",
"repo_id": "transformers",
"token_count": 55521
} | 581 |
from llama_index.graph_stores.falkordb.base import FalkorDBGraphStore
__all__ = ["FalkorDBGraphStore"]
| llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/llama_index/graph_stores/falkordb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/llama_index/graph_stores/falkordb/__init__.py",
"repo_id": "llama_index",
"token_count": 37
} | 1,330 |
from llama_index.core.exec_utils import _contains_protected_access
def test_contains_protected_access() -> None:
assert not _contains_protected_access(
"def _a(b): pass"
), "definition of dunder function"
assert _contains_protected_access("a = _b(c)"), "call to protected function"
assert not _... | llama_index/llama-index-core/tests/test_exec_utils.py/0 | {
"file_path": "llama_index/llama-index-core/tests/test_exec_utils.py",
"repo_id": "llama_index",
"token_count": 337
} | 1,245 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py",
"repo_id": "diffusers",
"token_count": 17312
} | 247 |
// 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/task/executor.go/0 | {
"file_path": "milvus/internal/querycoordv2/task/executor.go",
"repo_id": "milvus",
"token_count": 4854
} | 1,765 |
// 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/storage/binlog_test.go/0 | {
"file_path": "milvus/internal/storage/binlog_test.go",
"repo_id": "milvus",
"token_count": 18527
} | 1,784 |
import { OpenAIEmbeddings } from "@langchain/openai";
export const run = async () => {
/* Embed queries */
const embeddings = new OpenAIEmbeddings();
const res = await embeddings.embedQuery("Hello world");
console.log(res);
/* Embed documents */
const documentRes = await embeddings.embedDocuments([
"He... | langchainjs/examples/src/models/embeddings/openai.ts/0 | {
"file_path": "langchainjs/examples/src/models/embeddings/openai.ts",
"repo_id": "langchainjs",
"token_count": 127
} | 809 |
"""Notion reader."""
import os
from typing import Any, Dict, List, Optional
import requests # type: ignore
from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
INTEGRATION_TOKEN_NAME = "NOTION_INTEGRATION_TOKEN"
BLOCK_CHILD_URL_TMPL = "https://api.notion.com/v1/b... | llama_index/llama-index-integrations/readers/llama-index-readers-notion/llama_index/readers/notion/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-notion/llama_index/readers/notion/base.py",
"repo_id": "llama_index",
"token_count": 3264
} | 1,435 |
#!/usr/bin/env python3
# coding=utf-8
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#... | peft/tests/test_tuners_utils.py/0 | {
"file_path": "peft/tests/test_tuners_utils.py",
"repo_id": "peft",
"token_count": 7312
} | 339 |
from typing import List, Union
from pydantic import BaseModel
class ModerationPiiConfig(BaseModel):
threshold: float = 0.5
"""Threshold for PII confidence score, defaults to 0.5 i.e. 50%"""
labels: List[str] = []
"""
List of PII Universal Labels.
Defaults to `list[]`
"""
redact: bo... | langchain/libs/experimental/langchain_experimental/comprehend_moderation/base_moderation_config.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/comprehend_moderation/base_moderation_config.py",
"repo_id": "langchain",
"token_count": 491
} | 417 |
openapi: 3.0.2
info:
title: LangSmith
version: 0.1.0
paths:
/runs/{run_id}:
patch:
tags:
- run
summary: Update Run
description: Update a run.
operationId: update_run_runs__run_id__patch
parameters:
- required: true
schema:
title: Run Id
typ... | langsmith-sdk/openapi/openapi.yaml/0 | {
"file_path": "langsmith-sdk/openapi/openapi.yaml",
"repo_id": "langsmith-sdk",
"token_count": 8181
} | 1,019 |
import { test, expect } from "@jest/globals";
import { SerpAPI } from "../serpapi.js";
describe("serp api test suite", () => {
class SerpApiUrlTester extends SerpAPI {
testThisUrl(): string {
return this.buildUrl("search", this.params, this.baseUrl);
}
}
test("Test default url", async () => {
... | langchainjs/libs/langchain-community/src/tools/tests/serpapi.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/tests/serpapi.test.ts",
"repo_id": "langchainjs",
"token_count": 403
} | 989 |
import json
import os
from typing import Dict, List, Optional
import fsspec
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.llms import ChatMessage
from llama_index.legacy.storage.chat_store.base import BaseChatStore
class SimpleChatStore(BaseChatStore):
"""Simple chat store."""
... | llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/simple_chat_store.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/simple_chat_store.py",
"repo_id": "llama_index",
"token_count": 1226
} | 1,602 |
python_tests()
| llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,451 |
from langchain_community.document_loaders.blob_loaders.schema import (
Blob,
BlobLoader,
PathLike,
)
__all__ = ["PathLike", "Blob", "BlobLoader"]
| langchain/libs/langchain/langchain/document_loaders/blob_loaders/schema.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/blob_loaders/schema.py",
"repo_id": "langchain",
"token_count": 65
} | 480 |
#!/usr/bin/env bash
export PYTHONPATH="../":"${PYTHONPATH}"
python distillation.py \
--teacher facebook/bart-large-xsum --data_dir xsum \
--tokenizer_name facebook/bart-large-xsum \
--student_decoder_layers 6 --student_encoder_layers 12 \
--freeze_encoder --freeze_embeds \
--learning_rate=3e-4 \
--do_train ... | transformers/examples/research_projects/seq2seq-distillation/train_distilbart_xsum.sh/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/train_distilbart_xsum.sh",
"repo_id": "transformers",
"token_count": 317
} | 577 |
import uuid
from itertools import islice
from typing import (
Any,
Callable,
Dict,
Generator,
Iterable,
List,
Optional,
Sequence,
Tuple,
cast,
)
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.... | langchain/libs/community/langchain_community/retrievers/qdrant_sparse_vector_retriever.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/qdrant_sparse_vector_retriever.py",
"repo_id": "langchain",
"token_count": 3534
} | 274 |
# An implementation of https://en.wikipedia.org/wiki/Rendezvous_hashing
from typing import Callable, List, cast
import mmh3
Hasher = Callable[[str, str], int]
Member = str
Members = List[str]
Key = str
def assign(key: Key, members: Members, hasher: Hasher) -> Member:
"""Assigns a key to a member using the rendez... | chroma/chromadb/utils/rendezvous_hash.py/0 | {
"file_path": "chroma/chromadb/utils/rendezvous_hash.py",
"repo_id": "chroma",
"token_count": 570
} | 26 |
"""Read PDF files using PyMuPDF library."""
from pathlib import Path
from typing import Dict, List, Optional, Union
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class PyMuPDFReader(BaseReader):
"""Read PDF files using PyMuPDF library."""
def load_data(
... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/pymu_pdf/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/pymu_pdf/base.py",
"repo_id": "llama_index",
"token_count": 1306
} | 1,318 |
from typing import Any, Dict, Sequence
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.constants import DEFAULT_CONTEXT_WINDOW, DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseGen,
CompletionResponse,
Completio... | llama_index/llama-index-legacy/llama_index/legacy/llms/replicate.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/replicate.py",
"repo_id": "llama_index",
"token_count": 1991
} | 1,589 |
import { Runnable } from "../runnables/base.js";
import type { BaseCallbackConfig } from "../callbacks/manager.js";
import type { DocumentInterface } from "./document.js";
/**
* Abstract base class for document transformation systems.
*
* A document transformation system takes an array of Documents and returns an
... | langchainjs/langchain-core/src/documents/transformers.ts/0 | {
"file_path": "langchainjs/langchain-core/src/documents/transformers.ts",
"repo_id": "langchainjs",
"token_count": 544
} | 824 |
@base <https://swapi.co/resource/>.
@prefix voc: <https://swapi.co/vocabulary/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
{
<besalisk/71>
a voc:Besalisk , voc:Character ;
rdfs:label "Dexter Jettster" ;
voc:eyeCo... | langchain/libs/community/tests/integration_tests/graphs/docker-compose-ontotext-graphdb/starwars-data.trig/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/docker-compose-ontotext-graphdb/starwars-data.trig",
"repo_id": "langchain",
"token_count": 526
} | 331 |
/// <reference types="vite/client" />
| opengpts/frontend/src/vite-env.d.ts/0 | {
"file_path": "opengpts/frontend/src/vite-env.d.ts",
"repo_id": "opengpts",
"token_count": 12
} | 2,206 |
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