text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["OpenMap"]
contains_example = false
import_path = "llama_index.readers.maps"
[tool.mypy]
... | llama_index/llama-index-integrations/readers/llama-index-readers-maps/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-maps/pyproject.toml",
"repo_id": "llama_index",
"token_count": 689
} | 1,347 |
<jupyter_start><jupyter_text>Nuclia Understanding>[Nuclia](https://nuclia.com) automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing.The `N... | langchain/docs/docs/integrations/tools/nuclia.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/nuclia.ipynb",
"repo_id": "langchain",
"token_count": 817
} | 185 |
diff --git a/dist/support/helpers.js b/dist/support/helpers.js
index 4346548126fcf7e3687f243ee53fd0456778c29c..73cefe121e927285d305d57e89f3c87f8d2fe289 100644
--- a/dist/support/helpers.js
+++ b/dist/support/helpers.js
@@ -42,7 +42,12 @@ function getReflectionHeadingLevel(reflection, groupByReflections) {
exports.getR... | langchainjs/.yarn/patches/typedoc-plugin-markdown-npm-4.0.0-next.6-96b4b47746.patch/0 | {
"file_path": "langchainjs/.yarn/patches/typedoc-plugin-markdown-npm-4.0.0-next.6-96b4b47746.patch",
"repo_id": "langchainjs",
"token_count": 804
} | 697 |
package indexparamcheck
import "fmt"
type raftBruteForceChecker struct {
floatVectorBaseChecker
}
// raftBrustForceChecker checks if a Brute_Force index can be built.
func (c raftBruteForceChecker) CheckTrain(params map[string]string) error {
if err := c.floatVectorBaseChecker.CheckTrain(params); err != nil {
re... | milvus/pkg/util/indexparamcheck/raft_brute_force_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/raft_brute_force_checker.go",
"repo_id": "milvus",
"token_count": 193
} | 1,939 |
// 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/indexnode/task_test.go/0 | {
"file_path": "milvus/internal/indexnode/task_test.go",
"repo_id": "milvus",
"token_count": 4292
} | 1,715 |
from typing import List, Tuple
from ionic_langchain.tool import IonicTool
from langchain.agents import AgentExecutor, create_openai_tools_agent
from langchain_core.messages import AIMessage, SystemMessage
from langchain_core.prompts import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
MessagesPlacehold... | langchain/templates/shopping-assistant/shopping_assistant/agent.py/0 | {
"file_path": "langchain/templates/shopping-assistant/shopping_assistant/agent.py",
"repo_id": "langchain",
"token_count": 471
} | 683 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.huggingface_optimum import OptimumEmbedding
def test_optimumembedding_class():
names_of_base_classes = [b.__name__ for b in OptimumEmbedding.__mro__]
assert BaseEmbedding.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/tests/test_embeddings_huggingface_optimum.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/tests/test_embeddings_huggingface_optimum.py",
"repo_id": "llama_index",
"token_count": 110
} | 1,311 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "tools/dadjokeapi",
});
export * from "@langchain/community/tools/dadjokeapi";
| langchainjs/langchain/src/tools/dadjokeapi.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/dadjokeapi.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 972 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.sentence_window_retriever import SentenceWindowRetrieverPack
def test_class():
names_of_base_classes = [b.__name__ for b in SentenceWindowRetrieverPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-sentence-window-retriever/tests/test_packs_sentence_window_retriever.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-sentence-window-retriever/tests/test_packs_sentence_window_retriever.py",
"repo_id": "llama_index",
"token_count": 107
} | 1,594 |
from langchain_community.chat_models import ChatVertexAI
from langchain_core.prompts import ChatPromptTemplate
_prompt = ChatPromptTemplate.from_template(
"Tell me a joke about Chuck Norris and {text}"
)
_model = ChatVertexAI()
# if you update this, you MUST also update ../pyproject.toml
# with the new `tool.lang... | langchain/templates/vertexai-chuck-norris/vertexai_chuck_norris/chain.py/0 | {
"file_path": "langchain/templates/vertexai-chuck-norris/vertexai_chuck_norris/chain.py",
"repo_id": "langchain",
"token_count": 116
} | 707 |
from langchain_community.llms.sagemaker_endpoint import (
LLMContentHandler,
SagemakerEndpoint,
)
__all__ = ["SagemakerEndpoint", "LLMContentHandler"]
| langchain/libs/langchain/langchain/llms/sagemaker_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/sagemaker_endpoint.py",
"repo_id": "langchain",
"token_count": 57
} | 551 |
# ChatGPT Plugin Tool
This tool allows Agents to load a plugin using a ChatGPT manifest file, and have the Agent interact with it.
## Usage
This tool has more extensive example usage documented in a Jupyter notebook [here](https://github.com/emptycrown/llama-hub/tree/main/llama_hub/tools/notebooks/chatgpt_plugin.ipy... | llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/README.md",
"repo_id": "llama_index",
"token_count": 546
} | 1,507 |
# coding=utf-8
# Copyright 2022 BNRist (Tsinghua University), TKLNDST (Nankai University) 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
#... | transformers/src/transformers/models/deprecated/van/convert_van_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/van/convert_van_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4514
} | 592 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/markuplm/tokenization_markuplm_fast.py/0 | {
"file_path": "transformers/src/transformers/models/markuplm/tokenization_markuplm_fast.py",
"repo_id": "transformers",
"token_count": 20309
} | 639 |
"""Test Deep Lake functionality."""
import pytest
from langchain_core.documents import Document
from pytest import FixtureRequest
from langchain_community.vectorstores import DeepLake
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
@pytest.fixture
def deeplake_datastore() -> DeepLake:... | langchain/libs/community/tests/integration_tests/vectorstores/test_deeplake.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_deeplake.py",
"repo_id": "langchain",
"token_count": 3698
} | 375 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-stock-market-data-query-engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-stock-market-data-query-engine/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,596 |
"""Tools for interacting with a GraphQL API"""
| langchain/libs/langchain/langchain/tools/graphql/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/graphql/__init__.py",
"repo_id": "langchain",
"token_count": 11
} | 604 |
import os
from math import ceil
from typing import Any, Dict, List, Optional
class ArangoGraph:
"""ArangoDB wrapper for graph operations.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so m... | langchain/libs/community/langchain_community/graphs/arangodb_graph.py/0 | {
"file_path": "langchain/libs/community/langchain_community/graphs/arangodb_graph.py",
"repo_id": "langchain",
"token_count": 2946
} | 271 |
<clickhouse>
<users>
<default>
<access_management>1</access_management>
<named_collection_control>1</named_collection_control>
<show_named_collections>1</show_named_collections>
<show_named_collections_secrets>1</show_named_collections_secrets>
</defau... | langsmith-sdk/js/src/cli/users.xml/0 | {
"file_path": "langsmith-sdk/js/src/cli/users.xml",
"repo_id": "langsmith-sdk",
"token_count": 160
} | 1,076 |
#![allow(dead_code)]
use libc::{c_char, c_double, c_float, c_int};
mod ffi {
use super::*;
extern "C" {
pub fn vsTanh(n: c_int, a: *const c_float, y: *mut c_float);
pub fn vdTanh(n: c_int, a: *const c_double, y: *mut c_double);
pub fn vsExp(n: c_int, a: *const c_float, y: *mut c_float);... | candle/candle-core/src/mkl.rs/0 | {
"file_path": "candle/candle-core/src/mkl.rs",
"repo_id": "candle",
"token_count": 6463
} | 34 |
<jupyter_start><jupyter_text>Classification de token (PyTorch) Installez les bibliothèques 🤗 *Datasets*, 🤗 *Transformers* et 🤗 *Accelerate* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install accelerate
# Pour exécuter l'entraînement sur TPU, vous devrez décommen... | notebooks/course/fr/chapter7/section2_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section2_pt.ipynb",
"repo_id": "notebooks",
"token_count": 3899
} | 287 |
"""Test ChatAI21 chat model."""
from langchain_core.messages import HumanMessage
from langchain_core.outputs import ChatGeneration
from langchain_ai21.chat_models import ChatAI21
def test_invoke() -> None:
"""Test invoke tokens from AI21."""
llm = ChatAI21(model="j2-ultra")
result = llm.invoke("I'm Pick... | langchain/libs/partners/ai21/tests/integration_tests/test_chat_models.py/0 | {
"file_path": "langchain/libs/partners/ai21/tests/integration_tests/test_chat_models.py",
"repo_id": "langchain",
"token_count": 522
} | 621 |
import { ChatWindow } from "@/components/ChatWindow";
export default function AgentsPage() {
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 Agents 🦜🔗
</h1>
<ul>... | langchain-nextjs-template/app/agents/page.tsx/0 | {
"file_path": "langchain-nextjs-template/app/agents/page.tsx",
"repo_id": "langchain-nextjs-template",
"token_count": 1442
} | 68 |
import argparse
import gc
import json
import logging
import math
import os
from dataclasses import dataclass
from datetime import datetime
from pathlib import Path
from random import randint
from typing import Any, Dict, List, Union
# datasets imports
import datasets
# metric imports
import evaluate
import numpy as n... | peft/examples/int8_training/peft_adalora_whisper_large_training.py/0 | {
"file_path": "peft/examples/int8_training/peft_adalora_whisper_large_training.py",
"repo_id": "peft",
"token_count": 13081
} | 341 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/postprocessor/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/postprocessor/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,584 |
from gemini_functions_agent.agent import agent_executor
__all__ = ["agent_executor"]
| langchain/templates/gemini-functions-agent/gemini_functions_agent/__init__.py/0 | {
"file_path": "langchain/templates/gemini-functions-agent/gemini_functions_agent/__init__.py",
"repo_id": "langchain",
"token_count": 28
} | 655 |
import json
import logging
from typing import List
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
message_to_dict,
messages_from_dict,
)
logger = logging.getLogger(__name__)
DEFAULT_CONNECTION_STRING = "postgresql://postgres:mypassword@lo... | langchain/libs/community/langchain_community/chat_message_histories/postgres.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/postgres.py",
"repo_id": "langchain",
"token_count": 1116
} | 223 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,383 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["OpendalAzblobReader", "OpendalGcsReader", "OpendalReader", "OpendalS3Reader"]
contains_ex... | llama_index/llama-index-integrations/readers/llama-index-readers-opendal/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opendal/pyproject.toml",
"repo_id": "llama_index",
"token_count": 709
} | 1,420 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-minio/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-minio/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,402 |
---
hide_table_of_contents: true
sidebar_position: 1
---
# OpenAI tools
:::tip Compatibility
OpenAI tool calling is new and only available on [OpenAI's latest models](https://platform.openai.com/docs/guides/function-calling).
:::
Certain OpenAI models have been finetuned to work with with tool calling. This is very ... | langchainjs/docs/core_docs/docs/modules/agents/agent_types/openai_tools_agent.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/agent_types/openai_tools_agent.mdx",
"repo_id": "langchainjs",
"token_count": 1196
} | 778 |
// 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/src/common/Vector.h/0 | {
"file_path": "milvus/internal/core/src/common/Vector.h",
"repo_id": "milvus",
"token_count": 1416
} | 1,781 |
import argparse
from fairseq.checkpoint_utils import load_checkpoint_to_cpu
from transformers import Kosmos2Config, Kosmos2ForConditionalGeneration
KEYS_TO_MODIFY_MAPPING = {
"gpt_model.decoder.output_projection": "text_model.lm_head",
"gpt_model.decoder": "text_model.model",
"img_connector": "image_to_... | transformers/src/transformers/models/kosmos2/convert_kosmos2_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/kosmos2/convert_kosmos2_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1082
} | 686 |
"""Test DeepInfra API wrapper."""
from langchain_community.llms.deepinfra import DeepInfra
def test_deepinfra_call() -> None:
"""Test valid call to DeepInfra."""
llm = DeepInfra(model_id="meta-llama/Llama-2-7b-chat-hf")
output = llm.invoke("What is 2 + 2?")
assert isinstance(output, str)
async def t... | langchain/libs/community/tests/integration_tests/llms/test_deepinfra.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_deepinfra.py",
"repo_id": "langchain",
"token_count": 434
} | 337 |
[
{
"suite_params": [
{
"suite": "2_accuracy_ann_debug.yaml",
"image_type": "cpu"
}
]
}
] | milvus/tests/benchmark/milvus_benchmark/scheduler/acc.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/acc.json",
"repo_id": "milvus",
"token_count": 120
} | 1,858 |
---
sidebar_position: 2
---
# Agents
Chains are great when we know the specific sequence of tool usage needed for any user input. But for certain use cases, how many times we use tools depends on the input.
In these cases, we want to let the model itself decide how many times to use tools and in what order. That's wh... | langchainjs/docs/core_docs/docs/use_cases/tool_use/agents.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/tool_use/agents.mdx",
"repo_id": "langchainjs",
"token_count": 1461
} | 770 |
class MyClass:
def __init__(self, name):
self.name = name
def greet(self):
print(f"Hello, {self.name}!") # noqa: T201
def main():
name = input("Enter your name: ")
obj = MyClass(name)
obj.greet()
if __name__ == "__main__":
main()
| langchain/docs/docs/integrations/document_loaders/example_data/source_code/example.py/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/example_data/source_code/example.py",
"repo_id": "langchain",
"token_count": 125
} | 102 |
from unittest.mock import MagicMock
from langchain_community.tools.gmail.send_message import GmailSendMessage
def test_send() -> None:
"""Test gmail send."""
mock_api_resource = MagicMock()
# bypass pydantic validation as google-api-python-client is not a package dependency
tool = GmailSendMessage.co... | langchain/libs/community/tests/unit_tests/tools/gmail/test_send.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/gmail/test_send.py",
"repo_id": "langchain",
"token_count": 221
} | 392 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-bilibili/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bilibili/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,327 |
# LlamaIndex Vector_Stores Integration: Epsilla
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,526 |
from __future__ import annotations
import logging
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
logger = logging.getLogger(__name__)
class EdenAiParsingInvoiceTool(EdenaiTool):
"""Tool that qu... | langchain/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py",
"repo_id": "langchain",
"token_count": 885
} | 296 |
package dao
import (
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"gorm.io/gorm"
"gorm.io/gorm/clause"
)
type collectionMetadataDb struct {
db *gorm.DB
}
func (s *collectionMetadataDb) DeleteAll() error {
return s.db.Where("1 = 1").Delete(&dbmodel.CollectionMetadata{}).Error
}
func (s *... | chroma/go/coordinator/internal/metastore/db/dao/collection_metadata.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/db/dao/collection_metadata.go",
"repo_id": "chroma",
"token_count": 291
} | 50 |
from langchain import utils
from tests.unit_tests import assert_all_importable
EXPECTED_ALL = [
"StrictFormatter",
"check_package_version",
"comma_list",
"convert_to_secret_str",
"cosine_similarity",
"cosine_similarity_top_k",
"formatter",
"get_bolded_text",
"get_color_mapping",
... | langchain/libs/langchain/tests/unit_tests/utils/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/utils/test_imports.py",
"repo_id": "langchain",
"token_count": 308
} | 620 |
"""Test Google PaLM Chat API wrapper.
Note: This test must be run with the GOOGLE_API_KEY environment variable set to a
valid API key.
"""
from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage
from langchain_core.outputs import ChatGeneration, ChatResult, LLMResult
from langchain_communi... | langchain/libs/community/tests/integration_tests/chat_models/test_google_palm.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_google_palm.py",
"repo_id": "langchain",
"token_count": 955
} | 343 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,532 |
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { OpenAIEmbeddings } from "@langchain/openai";
// Create a vector store through any method, here from texts as an example
const vectorStore = await HNSWLib.fromTexts(
["Hello world", "Bye bye", "hello nice world"],
[{ id: 2 }, { id: 1 }, {... | langchainjs/examples/src/indexes/vector_stores/hnswlib_saveload.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/hnswlib_saveload.ts",
"repo_id": "langchainjs",
"token_count": 222
} | 848 |
/* Hide search button */
.sidebar-search-container {
display: none;
}
/* Hide the search wrapper window when hitting Ctrl+K */
.search-button__wrapper.show {
display: none !important;
}
/* Make sure Algolia's search container is always on top */
.bd-article-container {
z-index: 10;
}
@media (prefers-color-sche... | llama_index/docs/_static/css/algolia.css/0 | {
"file_path": "llama_index/docs/_static/css/algolia.css",
"repo_id": "llama_index",
"token_count": 882
} | 1,077 |
# 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/src/transformers/models/swin2sr/configuration_swin2sr.py/0 | {
"file_path": "transformers/src/transformers/models/swin2sr/configuration_swin2sr.py",
"repo_id": "transformers",
"token_count": 2786
} | 727 |
# Diffbot
>[Diffbot](https://docs.diffbot.com/docs) is a service to read web pages. Unlike traditional web scraping tools,
> `Diffbot` doesn't require any rules to read the content on a page.
>It starts with computer vision, which classifies a page into one of 20 possible types. Content is then interpreted by a machi... | langchain/docs/docs/integrations/providers/diffbot.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/diffbot.mdx",
"repo_id": "langchain",
"token_count": 211
} | 131 |
import numpy as np
from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
from common.constants import *
from utils.util_pymilvus import *
from common.common_type import CaseLabel, CheckTasks
from common import common_type as ct
from common import common_func... | milvus/tests/python_client/testcases/test_search.py/0 | {
"file_path": "milvus/tests/python_client/testcases/test_search.py",
"repo_id": "milvus",
"token_count": 266286
} | 2,045 |
#!/usr/bin/env python
import argparse
import glob
import logging
import os
import sys
import time
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
from callbacks import Seq2SeqLoggingCallback, get_checkpoin... | transformers/examples/research_projects/seq2seq-distillation/finetune.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/finetune.py",
"repo_id": "transformers",
"token_count": 8523
} | 616 |
from langchain_core._api.deprecation import (
LangChainDeprecationWarning,
LangChainPendingDeprecationWarning,
deprecated,
suppress_langchain_deprecation_warning,
surface_langchain_deprecation_warnings,
warn_deprecated,
)
__all__ = [
"LangChainDeprecationWarning",
"LangChainPendingDepre... | langchain/libs/langchain/langchain/_api/deprecation.py/0 | {
"file_path": "langchain/libs/langchain/langchain/_api/deprecation.py",
"repo_id": "langchain",
"token_count": 175
} | 455 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/mq/msgdispatcher/target.go/0 | {
"file_path": "milvus/pkg/mq/msgdispatcher/target.go",
"repo_id": "milvus",
"token_count": 599
} | 1,918 |
const fs = require("fs");
const semver = require("semver");
const currentPackageJson = JSON.parse(fs.readFileSync("./package.json"));
if (currentPackageJson.dependencies["@langchain/core"]) {
const minVersion = semver.minVersion(
currentPackageJson.dependencies["@langchain/core"]
).version;
currentPackageJs... | langchainjs/dependency_range_tests/scripts/node/update_resolutions_lowest.js/0 | {
"file_path": "langchainjs/dependency_range_tests/scripts/node/update_resolutions_lowest.js",
"repo_id": "langchainjs",
"token_count": 345
} | 687 |
use std::collections::VecDeque;
use std::fmt::Display;
use candle::{DType, Device, Error, Module, Result, Tensor, Var};
use candle_nn::{
func, linear, sequential::seq, Activation, AdamW, Optimizer, ParamsAdamW, Sequential,
VarBuilder, VarMap,
};
use rand::{distributions::Uniform, thread_rng, Rng};
use super::... | candle/candle-examples/examples/reinforcement-learning/ddpg.rs/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/ddpg.rs",
"repo_id": "candle",
"token_count": 8524
} | 42 |
# `tokenizers-linux-x64-musl`
This is the **x86_64-unknown-linux-musl** binary for `tokenizers`
| tokenizers/bindings/node/npm/linux-x64-musl/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-x64-musl/README.md",
"repo_id": "tokenizers",
"token_count": 38
} | 415 |
# 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/models/downsampling.py/0 | {
"file_path": "diffusers/src/diffusers/models/downsampling.py",
"repo_id": "diffusers",
"token_count": 5559
} | 224 |
import { test } from "@jest/globals";
import { ChatOpenAI, OpenAI } from "@langchain/openai";
import { EntityMemory } from "../entity_memory.js";
import { LLMChain } from "../../chains/llm_chain.js";
import { ENTITY_MEMORY_CONVERSATION_TEMPLATE } from "../prompt.js";
test.skip("Test entity memory in a chain", async ()... | langchainjs/langchain/src/memory/tests/entity_memory.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/tests/entity_memory.int.test.ts",
"repo_id": "langchainjs",
"token_count": 881
} | 894 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/response_synthesizers/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/response_synthesizers/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,545 |
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseGen,
CompletionResponse,
Comp... | llama_index/llama-index-legacy/llama_index/legacy/llms/ai21.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/ai21.py",
"repo_id": "llama_index",
"token_count": 2059
} | 1,572 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::{Parser, ValueEnum};
use std::io::Write;
use tokenizers::Tokenizer;
use candle::quantized::{ggml_file, gguf_file};
use candle::Tensor;
use candle_transformers::generation::LogitsProcessor;
use c... | candle/candle-examples/examples/quantized/main.rs/0 | {
"file_path": "candle/candle-examples/examples/quantized/main.rs",
"repo_id": "candle",
"token_count": 11119
} | 49 |
from typing import Any, Dict, Optional, Sequence
from llama_index.core.base.base_selector import (
BaseSelector,
SelectorResult,
SingleSelection,
)
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.indices.query.embedding_utils import get_top_k_embeddings
from llama_inde... | llama_index/llama-index-core/llama_index/core/selectors/embedding_selectors.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/selectors/embedding_selectors.py",
"repo_id": "llama_index",
"token_count": 1275
} | 1,201 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.bagel import BagelReader
def test_class():
names_of_base_classes = [b.__name__ for b in BagelReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-bagel/tests/test_readers_bagel.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bagel/tests/test_readers_bagel.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,470 |
# 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 agreed to in writ... | diffusers/tests/pipelines/shap_e/test_shap_e.py/0 | {
"file_path": "diffusers/tests/pipelines/shap_e/test_shap_e.py",
"repo_id": "diffusers",
"token_count": 3729
} | 255 |
# 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/nat/test_modeling_nat.py/0 | {
"file_path": "transformers/tests/models/nat/test_modeling_nat.py",
"repo_id": "transformers",
"token_count": 6241
} | 759 |
// 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/src/storage/MemFileManagerImpl.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/MemFileManagerImpl.cpp",
"repo_id": "milvus",
"token_count": 3237
} | 1,892 |
import copy
import os
from functools import partial
from itertools import groupby
from typing import TYPE_CHECKING, Callable, Iterator, List, Optional, Tuple, TypeVar, Union
import numpy as np
import pyarrow as pa
import pyarrow.compute as pc
import pyarrow.types
from . import config
from .utils.logging import get_lo... | datasets/src/datasets/table.py/0 | {
"file_path": "datasets/src/datasets/table.py",
"repo_id": "datasets",
"token_count": 40704
} | 143 |
/* eslint-disable no-process-env */
import { test, expect } from "@jest/globals";
import { Client, ClientOptions } from "@elastic/elasticsearch";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { ElasticVectorSearch } from "../elasticsearch.js";
descri... | langchainjs/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1689
} | 982 |
# coding=utf-8
# Copyright 2023 The Salesforce Team Authors and The HuggingFace Team. All rights reserved.
#
# Licensed under the BSD-3-clause license (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD... | transformers/src/transformers/models/blip/modeling_tf_blip_text.py/0 | {
"file_path": "transformers/src/transformers/models/blip/modeling_tf_blip_text.py",
"repo_id": "transformers",
"token_count": 21856
} | 575 |
reviewers:
- aoiasd
- bigsheeper
- congqixia
- yah01
approvers:
- maintainers
| milvus/internal/querynodev2/segments/OWNERS/0 | {
"file_path": "milvus/internal/querynodev2/segments/OWNERS",
"repo_id": "milvus",
"token_count": 41
} | 1,991 |
import candle
print(f"mkl: {candle.utils.has_mkl()}")
print(f"accelerate: {candle.utils.has_accelerate()}")
print(f"num-threads: {candle.utils.get_num_threads()}")
print(f"cuda: {candle.utils.cuda_is_available()}")
t = candle.Tensor(42.0)
print(t)
print(t.shape, t.rank, t.device)
print(t + t)
t = can... | candle/candle-pyo3/test.py/0 | {
"file_path": "candle/candle-pyo3/test.py",
"repo_id": "candle",
"token_count": 340
} | 63 |
from langchain_community.document_loaders.image import UnstructuredImageLoader
__all__ = ["UnstructuredImageLoader"]
| langchain/libs/langchain/langchain/document_loaders/image.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/image.py",
"repo_id": "langchain",
"token_count": 32
} | 507 |
# 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/stable_diffusion/pipeline_flax_stable_diffusion_inpaint.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 11428
} | 265 |
<jupyter_start><jupyter_text>Minimax[Minimax](https://api.minimax.chat) is a Chinese startup that provides natural language processing models for companies and individuals.This example demonstrates using Langchain to interact with Minimax. SetupTo run this notebook, you'll need a [Minimax account](https://api.minimax.... | langchain/docs/docs/integrations/llms/minimax.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/minimax.ipynb",
"repo_id": "langchain",
"token_count": 499
} | 131 |
import type { Tiktoken, TiktokenModel } from "js-tiktoken/lite";
import { type BaseCache, InMemoryCache } from "../caches.js";
import {
type BasePromptValueInterface,
StringPromptValue,
ChatPromptValue,
} from "../prompt_values.js";
import {
type BaseMessage,
type BaseMessageLike,
type MessageContent,
co... | langchainjs/langchain-core/src/language_models/base.ts/0 | {
"file_path": "langchainjs/langchain-core/src/language_models/base.ts",
"repo_id": "langchainjs",
"token_count": 4333
} | 832 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | datasets/metrics/rouge/rouge.py/0 | {
"file_path": "datasets/metrics/rouge/rouge.py",
"repo_id": "datasets",
"token_count": 2100
} | 133 |
from langchain_community.llms.bedrock import (
Bedrock,
BedrockBase,
)
__all__ = [
"BedrockBase",
"Bedrock",
]
| langchain/libs/langchain/langchain/llms/bedrock.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/bedrock.py",
"repo_id": "langchain",
"token_count": 57
} | 513 |
cmd:
# Option: run/backup/rollback
type: run
runWithBackup: false
config:
sourceVersion: 2.1.0
targetVersion: 2.2.0
backupFilePath: /tmp/migration.bak
metastore:
type: etcd
etcd:
endpoints:
- localhost:2379
rootPath: by-dev # The root path where data is stored in etcd
metaSubPath: meta # meta... | milvus/cmd/tools/migration/example.yaml/0 | {
"file_path": "milvus/cmd/tools/migration/example.yaml",
"repo_id": "milvus",
"token_count": 559
} | 1,712 |
import asyncio
import os
import torch
import time
from grpc import aio
from loguru import logger
from grpc_reflection.v1alpha import reflection
from pathlib import Path
from typing import List, Optional
from text_generation_server.cache import Cache
from text_generation_server.interceptor import ExceptionInterceptor... | text-generation-inference/server/text_generation_server/server.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/server.py",
"repo_id": "text-generation-inference",
"token_count": 3834
} | 432 |
<jupyter_start><jupyter_text>GraphSparqlQAChainGraph databases are an excellent choice for applications based on network-like models. To standardize the syntax and semantics of such graphs, the W3C recommends Semantic Web Technologies, cp. [Semantic Web](https://www.w3.org/standards/semanticweb/). [SPARQL](https://www.... | langchain/docs/docs/use_cases/graph/graph_sparql_qa.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/graph/graph_sparql_qa.ipynb",
"repo_id": "langchain",
"token_count": 1524
} | 198 |
// 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/storage/TencentCloudSTSClient.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/TencentCloudSTSClient.cpp",
"repo_id": "milvus",
"token_count": 2218
} | 1,894 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-etcd-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
app.kubernetes.io/name: etcd
mode: fixed
value: "1"
action: pod-fai... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_etcd_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_etcd_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 151
} | 2,168 |
from langsmith.wrappers._openai import wrap_openai
__all__ = ["wrap_openai"]
| langsmith-sdk/python/langsmith/wrappers/__init__.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/wrappers/__init__.py",
"repo_id": "langsmith-sdk",
"token_count": 27
} | 1,070 |
version: '3.9'
networks:
net:
services:
zipkin:
image: openzipkin/zipkin
ports:
- "9411:9411" # you can access Zipkin UI at http://localhost:9411
depends_on: [otel-collector]
networks:
- net
otel-collector:
image: otel/opentelemetry-collector-contrib
command: ["--config=/etc/o... | chroma/examples/observability/docker-compose.local-observability.yml/0 | {
"file_path": "chroma/examples/observability/docker-compose.local-observability.yml",
"repo_id": "chroma",
"token_count": 822
} | 43 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,489 |
# LlamaIndex Readers Integration: Make-Com
| llama_index/llama-index-integrations/readers/llama-index-readers-make-com/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-make-com/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,474 |
# Add parent directory to python path to access lightning_base.py
export PYTHONPATH="../":"${PYTHONPATH}"
# A sample finetuning run, you need to specify data_dir, output_dir and model_name_or_path
# run ./examples/rag/finetune_rag.sh --help to see all the possible options
python examples/rag/finetune_rag.py \
--d... | transformers/examples/research_projects/rag/finetune_rag.sh/0 | {
"file_path": "transformers/examples/research_projects/rag/finetune_rag.sh",
"repo_id": "transformers",
"token_count": 440
} | 572 |
import os
from typing import Any, Callable, Dict, List, Literal, Optional, Type
import numpy as np
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.evaluation.retrieval.metrics_base import (
BaseRetrievalMetric,
RetrievalMetricResult,
)
_AGG_FUNC: Dict[str, Callable] = {"m... | llama_index/llama-index-core/llama_index/core/evaluation/retrieval/metrics.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/retrieval/metrics.py",
"repo_id": "llama_index",
"token_count": 2060
} | 1,124 |
<!--Copyright 2023 The Intel Labs Team Authors, The Microsoft Research Team Authors and 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... | transformers/docs/source/ja/model_doc/bridgetower.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bridgetower.md",
"repo_id": "transformers",
"token_count": 3672
} | 515 |
# coding=utf-8
# Copyright 2023 Microsoft and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | transformers/tests/models/phi/test_modeling_phi.py/0 | {
"file_path": "transformers/tests/models/phi/test_modeling_phi.py",
"repo_id": "transformers",
"token_count": 9169
} | 762 |
<jupyter_start><jupyter_text>Llama Packs ExampleThis example shows you how to use a simple Llama Pack with VoyageAI. We show the following:- How to download a Llama Pack- How to inspect its modules- How to run it out of the box- How to customize it.You can find all packs on https://llamahub.ai Setup Data<jupyter_code>... | llama_index/docs/examples/llama_hub/llama_packs_example.ipynb/0 | {
"file_path": "llama_index/docs/examples/llama_hub/llama_packs_example.ipynb",
"repo_id": "llama_index",
"token_count": 1227
} | 1,111 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/delegator/deletebuffer/list_delete_buffer_test.go/0 | {
"file_path": "milvus/internal/querynodev2/delegator/deletebuffer/list_delete_buffer_test.go",
"repo_id": "milvus",
"token_count": 1054
} | 1,848 |
<jupyter_start><jupyter_text>Async callbacksIf you are planning to use the async API, it is recommended to use `AsyncCallbackHandler` to avoid blocking the runloop. **Advanced** if you use a sync `CallbackHandler` while using an async method to run your LLM / Chain / Tool / Agent, it will still work. However, under the... | langchain/docs/docs/modules/callbacks/async_callbacks.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/callbacks/async_callbacks.ipynb",
"repo_id": "langchain",
"token_count": 968
} | 184 |
import { test, expect, jest } from "@jest/globals";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import { MotorheadMemory } from "../motorhead_memory.js";
test("Test motörhead memory", async () => {
global.fetch = jest.fn(() =>
Promise.resolve({
json: () =>
Promise.resolve({
... | langchainjs/libs/langchain-community/src/memory/tests/motorhead_memory.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/memory/tests/motorhead_memory.test.ts",
"repo_id": "langchainjs",
"token_count": 673
} | 1,065 |
import math
import torch
from torch.utils.data import Sampler
import torch.distributed as dist
class OrderedDistributedSampler(Sampler):
"""Sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with
:class:`torch.nn.parallel.DistributedDataParallel`. In suc... | pytorch-image-models/timm/data/distributed_sampler.py/0 | {
"file_path": "pytorch-image-models/timm/data/distributed_sampler.py",
"repo_id": "pytorch-image-models",
"token_count": 2276
} | 358 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["TwitterTweetReader"]
contains_example = false
import_path = "llama_index.readers.twitter"... | llama_index/llama-index-integrations/readers/llama-index-readers-twitter/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-twitter/pyproject.toml",
"repo_id": "llama_index",
"token_count": 655
} | 1,562 |
[project]
name = "chromadb-client"
dynamic = ["version"]
authors = [
{ name="Jeff Huber", email="jeff@trychroma.com" },
{ name="Anton Troynikov", email="anton@trychroma.com" }
]
description = "Chroma Client."
readme = "README.md"
requires-python = ">=3.8"
classifiers = [
"Programming Language :: Python :: 3",
... | chroma/clients/python/pyproject.toml/0 | {
"file_path": "chroma/clients/python/pyproject.toml",
"repo_id": "chroma",
"token_count": 557
} | 39 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/tsafe/manager.go/0 | {
"file_path": "milvus/internal/querynodev2/tsafe/manager.go",
"repo_id": "milvus",
"token_count": 1493
} | 1,848 |
"""Gmail toolkit."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/gmail/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/gmail/__init__.py",
"repo_id": "langchain",
"token_count": 8
} | 438 |
"""Azure OpenAI chat wrapper."""
from __future__ import annotations
import logging
import os
import warnings
from typing import Any, Callable, Dict, List, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.outputs import ChatResult
from langchain_core.pydantic_v1 import BaseModel, Field,... | langchain/libs/community/langchain_community/chat_models/azure_openai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/azure_openai.py",
"repo_id": "langchain",
"token_count": 5206
} | 237 |
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