text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from typing import Any, Mapping, Sequence, Union
from langgraph.channels.base import BaseChannel
from langgraph.channels.last_value import LastValue
from langgraph.pregel.read import ChannelBatch, ChannelInvoke
from langgraph.pregel.reserved import ReservedChannels
def validate_graph(
nodes: Mapping[str, Union[C... | langgraph/langgraph/pregel/validate.py/0 | {
"file_path": "langgraph/langgraph/pregel/validate.py",
"repo_id": "langgraph",
"token_count": 1071
} | 1,020 |
import argparse
import evaluate
import torch
from accelerate import Accelerator, DistributedDataParallelKwargs
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_li... | peft/examples/sequence_classification/peft_no_lora_accelerate.py/0 | {
"file_path": "peft/examples/sequence_classification/peft_no_lora_accelerate.py",
"repo_id": "peft",
"token_count": 3361
} | 342 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/canine.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/canine.md",
"repo_id": "transformers",
"token_count": 1723
} | 451 |
from typing import List
import pytest
from llama_index.legacy.schema import BaseNode, Document
from llama_index.legacy.storage.docstore.mongo_docstore import MongoDocumentStore
from llama_index.legacy.storage.kvstore.mongodb_kvstore import MongoDBKVStore
try:
from pymongo import MongoClient
except ImportError:
... | llama_index/llama-index-legacy/tests/storage/docstore/test_mongo_docstore.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/docstore/test_mongo_docstore.py",
"repo_id": "llama_index",
"token_count": 808
} | 1,635 |
[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 = ["ElasticsearchEmbedding"]
contains_example = false
import_path = "llama_index.embeddings.e... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/pyproject.toml",
"repo_id": "llama_index",
"token_count": 654
} | 1,227 |
from __future__ import annotations
import uuid
from typing import TYPE_CHECKING, Any, Iterable, List, Optional, Tuple, Union
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_env
from langchain_core.vectorstores import VectorStore
... | langchain/libs/community/langchain_community/vectorstores/typesense.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/typesense.py",
"repo_id": "langchain",
"token_count": 4459
} | 314 |
from langchain_community.tools.searchapi.tool import SearchAPIResults, SearchAPIRun
__all__ = ["SearchAPIRun", "SearchAPIResults"]
| langchain/libs/langchain/langchain/tools/searchapi/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/searchapi/tool.py",
"repo_id": "langchain",
"token_count": 43
} | 556 |
<jupyter_start><jupyter_text>Trubrics>[Trubrics](https://trubrics.com) is an LLM user analytics platform that lets you collect, analyse and manage userprompts & feedback on AI models.>>Check out [Trubrics repo](https://github.com/trubrics/trubrics-sdk) for more information on `Trubrics`.In this guide, we will go over h... | langchain/docs/docs/integrations/callbacks/trubrics.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/callbacks/trubrics.ipynb",
"repo_id": "langchain",
"token_count": 1276
} | 90 |
"""Docugami reader."""
import hashlib
import io
import logging
import os
import requests
from pathlib import Path
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from dgml_utils.models import Chu... | llama_index/llama-index-integrations/readers/llama-index-readers-docugami/llama_index/readers/docugami/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-docugami/llama_index/readers/docugami/base.py",
"repo_id": "llama_index",
"token_count": 6692
} | 1,394 |
# These kubernetes manifests are UNDER ACTIVE DEVELOPMENT and are not yet ready for production use.
# They will be used for the upcoming distributed version of chroma. They are not even ready
# for testing yet. Please do not use them unless you are working on the distributed version of chroma.
apiVersion: v1
kind: Na... | chroma/k8s/deployment/kubernetes.yaml/0 | {
"file_path": "chroma/k8s/deployment/kubernetes.yaml",
"repo_id": "chroma",
"token_count": 2594
} | 57 |
<jupyter_start><jupyter_text>Generate a Certificate```bashopenssl req -new -newkey rsa:2048 -sha256 -days 365 -nodes -x509 \ -keyout ./serverkey.pem \ -out ./servercert.pem \ -subj "/O=Chroma/C=US" \ -config chromadb/test/openssl.cnf```> Note: The above command should be executed at the root of the repo (openssl.cn... | chroma/docs/cip/assets/CIP-01022024-test_self_signed.ipynb/0 | {
"file_path": "chroma/docs/cip/assets/CIP-01022024-test_self_signed.ipynb",
"repo_id": "chroma",
"token_count": 387
} | 39 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_video_classification.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_video_classification.py",
"repo_id": "transformers",
"token_count": 1516
} | 763 |
<jupyter_start><jupyter_text>Bookend AILet's load the Bookend AI Embeddings class.<jupyter_code>from langchain_community.embeddings import BookendEmbeddings
embeddings = BookendEmbeddings(
domain="your_domain",
api_token="your_api_token",
model_id="your_embeddings_model_id",
)
text = "This is a test documen... | langchain/docs/docs/integrations/text_embedding/bookend.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/bookend.ipynb",
"repo_id": "langchain",
"token_count": 161
} | 161 |
import { GradientEmbeddings } from "@langchain/community/embeddings/gradient_ai";
const model = new GradientEmbeddings({});
const res = await model.embedQuery(
"What would be a good company name a company that makes colorful socks?"
);
console.log({ res });
| langchainjs/examples/src/embeddings/gradient_ai.ts/0 | {
"file_path": "langchainjs/examples/src/embeddings/gradient_ai.ts",
"repo_id": "langchainjs",
"token_count": 73
} | 814 |
# coding=utf-8
# Copyright 2021 The UCLA NLP 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/licenses... | transformers/src/transformers/models/visual_bert/modeling_visual_bert.py/0 | {
"file_path": "transformers/src/transformers/models/visual_bert/modeling_visual_bert.py",
"repo_id": "transformers",
"token_count": 29493
} | 684 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/de/preprocessing.md/0 | {
"file_path": "transformers/docs/source/de/preprocessing.md",
"repo_id": "transformers",
"token_count": 10556
} | 490 |
<jupyter_start><jupyter_text>Pandas DataFrame ParserA Pandas DataFrame is a popular data structure in the Python programming language, commonly used for data manipulation and analysis. It provides a comprehensive set of tools for working with structured data, making it a versatile option for tasks such as data cleaning... | langchain/docs/docs/modules/model_io/output_parsers/types/pandas_dataframe.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/pandas_dataframe.ipynb",
"repo_id": "langchain",
"token_count": 1066
} | 213 |
from langchain_experimental.agents.agent_toolkits import (
create_csv_agent,
create_pandas_dataframe_agent,
create_spark_dataframe_agent,
create_xorbits_agent,
)
__all__ = [
"create_csv_agent",
"create_pandas_dataframe_agent",
"create_spark_dataframe_agent",
"create_xorbits_agent",
]
| langchain/libs/experimental/langchain_experimental/agents/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/agents/__init__.py",
"repo_id": "langchain",
"token_count": 134
} | 423 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/llama_index/readers/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/llama_index/readers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,300 |
<jupyter_start><jupyter_text>Custom output parsersIf there is a custom format you want to transform a model's output into, you can subclass and create your own output parser.The simplest kind of output parser extends the [`BaseOutputParser` class](https://api.js.langchain.com/classes/langchain_core_output_parsers.BaseO... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/custom.ipynb/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/custom.ipynb",
"repo_id": "langchainjs",
"token_count": 3118
} | 818 |
# Copyright 2024 ETH Zurich Computer Vision Lab and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | diffusers/src/diffusers/pipelines/deprecated/repaint/pipeline_repaint.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/repaint/pipeline_repaint.py",
"repo_id": "diffusers",
"token_count": 4202
} | 233 |
# Pydantic compatibility
- Pydantic v2 was released in June, 2023 (https://docs.pydantic.dev/2.0/blog/pydantic-v2-final/)
- v2 contains has a number of breaking changes (https://docs.pydantic.dev/2.0/migration/)
- Pydantic v2 and v1 are under the same package name, so both versions cannot be installed at the same time... | langchain/docs/docs/guides/pydantic_compatibility.md/0 | {
"file_path": "langchain/docs/docs/guides/pydantic_compatibility.md",
"repo_id": "langchain",
"token_count": 1002
} | 91 |
from typing import Callable
def is_documented_by(function_with_docstring: Callable):
"""Decorator to share docstrings across common functions.
Args:
function_with_docstring (`Callable`): Name of the function with the docstring.
"""
def wrapper(target_function):
target_function.__doc_... | datasets/src/datasets/utils/doc_utils.py/0 | {
"file_path": "datasets/src/datasets/utils/doc_utils.py",
"repo_id": "datasets",
"token_count": 137
} | 145 |
import {
WeaviateFilter,
WeaviateStore,
} from "@langchain/community/vectorstores/weaviate";
import {
Comparator,
Comparators,
Comparison,
NOT,
Operation,
Operator,
Operators,
StructuredQuery,
Visitor,
} from "../../chains/query_constructor/ir.js";
import { BaseTranslator } from "./base.js";
impor... | langchainjs/langchain/src/retrievers/self_query/weaviate.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/self_query/weaviate.ts",
"repo_id": "langchainjs",
"token_count": 2841
} | 919 |
import type { AwsCredentialIdentity, Provider } from "@aws-sdk/types";
export type CredentialType =
| AwsCredentialIdentity
| Provider<AwsCredentialIdentity>;
/** Bedrock models.
To authenticate, the AWS client uses the following methods to automatically load credentials:
https://boto3.amazonaws.com/v1/do... | langchainjs/libs/langchain-community/src/utils/bedrock.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/bedrock.ts",
"repo_id": "langchainjs",
"token_count": 1554
} | 1,010 |
node_modules
build
.docusaurus
docs/api
docs/_static
static
| langchainjs/docs/core_docs/.prettierignore/0 | {
"file_path": "langchainjs/docs/core_docs/.prettierignore",
"repo_id": "langchainjs",
"token_count": 21
} | 744 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/instruct_pix2pix/test_instruct_pix2pix.py/0 | {
"file_path": "diffusers/examples/instruct_pix2pix/test_instruct_pix2pix.py",
"repo_id": "diffusers",
"token_count": 1823
} | 214 |
from concurrent.futures import ThreadPoolExecutor
from chromadb.api.client import AdminClient, Client
from chromadb.config import DEFAULT_TENANT
def test_multiple_clients_concurrently(client: Client) -> None:
"""Tests running multiple clients, each against their own database, concurrently."""
client.reset()
... | chroma/chromadb/test/client/test_multiple_clients_concurrency.py/0 | {
"file_path": "chroma/chromadb/test/client/test_multiple_clients_concurrency.py",
"repo_id": "chroma",
"token_count": 652
} | 22 |
poetry_requirements(
name="poetry",
module_mapping={"google-api-python-client": ["googleapiclient"], "google-auth-oauthlib": ["google_auth_oauthlib"]}
)
python_requirements(
name="reqs",
)
python_sources(
interpreter_constraints=["==3.10.*"],
)
| llama_index/llama-index-integrations/readers/llama-index-readers-google/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-google/BUILD",
"repo_id": "llama_index",
"token_count": 106
} | 1,450 |
---
sidebar_class_name: hidden
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
import Extraction from "@examples/chains/openai_functions_extraction.ts";
# `Extraction`
:::tip Compatibility
Must be used with an [OpenAI Functions](https://platform.openai.com/docs/guides/gpt/function-calling)... | langchainjs/docs/core_docs/docs/modules/chains/additional/openai_functions/extraction.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/additional/openai_functions/extraction.mdx",
"repo_id": "langchainjs",
"token_count": 211
} | 758 |
# 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/src/diffusers/models/normalization.py/0 | {
"file_path": "diffusers/src/diffusers/models/normalization.py",
"repo_id": "diffusers",
"token_count": 4029
} | 241 |
"""Base agent type."""
import uuid
from abc import abstractmethod
from typing import Any, Dict, List, Optional
from llama_index.legacy.bridge.pydantic import BaseModel, Field
from llama_index.legacy.callbacks import CallbackManager, trace_method
from llama_index.legacy.chat_engine.types import (
BaseChatEngine,
... | llama_index/llama-index-legacy/llama_index/legacy/agent/types.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/types.py",
"repo_id": "llama_index",
"token_count": 2933
} | 1,579 |
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { VoyVectorStore, VoyClient } from "../voy.js";
const fakeClient: VoyClient = {
index: ({ embeddings }) => embeddings.map((i) => i.id).join(","),
... | langchainjs/libs/langchain-community/src/vectorstores/tests/voy.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/voy.test.ts",
"repo_id": "langchainjs",
"token_count": 635
} | 1,055 |
import { Redis } from "ioredis";
import { BufferMemory } from "langchain/memory";
import { RedisChatMessageHistory } from "@langchain/community/stores/message/ioredis";
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";
const client = new Redis("redis://localhost:6379... | langchainjs/examples/src/memory/redis-advanced.ts/0 | {
"file_path": "langchainjs/examples/src/memory/redis-advanced.ts",
"repo_id": "langchainjs",
"token_count": 340
} | 889 |
from typing import Any, Optional
from langchain_core.runnables.base import Input, Output, RunnableBindingBase
class HubRunnable(RunnableBindingBase[Input, Output]):
"""
An instance of a runnable stored in the LangChain Hub.
"""
owner_repo_commit: str
def __init__(
self,
owner_re... | langchain/libs/langchain/langchain/runnables/hub.py/0 | {
"file_path": "langchain/libs/langchain/langchain/runnables/hub.py",
"repo_id": "langchain",
"token_count": 385
} | 573 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package datacoord
import (
sessionutil "github.com/milvus-io/milvus/internal/util/sessionutil"
mock "github.com/stretchr/testify/mock"
)
// MockVersionManager is an autogenerated mock type for the IndexEngineVersionManager type
type MockVersionManager struct {
mo... | milvus/internal/datacoord/mock_index_engine_version_manager.go/0 | {
"file_path": "milvus/internal/datacoord/mock_index_engine_version_manager.go",
"repo_id": "milvus",
"token_count": 2755
} | 1,795 |
# coding=utf-8
# Copyright 2022 The Fairseq 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/licenses/... | transformers/src/transformers/models/mvp/configuration_mvp.py/0 | {
"file_path": "transformers/src/transformers/models/mvp/configuration_mvp.py",
"repo_id": "transformers",
"token_count": 3390
} | 698 |
package writebuffer
import (
"math"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/util/paramtable"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
type DeltaBuffer struct {
BufferBase
buffer *storage.DeleteData
}
func Ne... | milvus/internal/datanode/writebuffer/delta_buffer.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/delta_buffer.go",
"repo_id": "milvus",
"token_count": 592
} | 1,704 |
python_sources()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/llama_index/multi_modal_llms/ollama/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/llama_index/multi_modal_llms/ollama/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,429 |
from typing import Dict, Iterator, List, Optional, Tuple, Union
from .. import AddedToken, Tokenizer, decoders, pre_tokenizers, trainers
from ..models import BPE
from ..normalizers import BertNormalizer, Lowercase, Sequence, unicode_normalizer_from_str
from .base_tokenizer import BaseTokenizer
class CharBPETokenizer... | tokenizers/bindings/python/py_src/tokenizers/implementations/char_level_bpe.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/char_level_bpe.py",
"repo_id": "tokenizers",
"token_count": 2509
} | 403 |
from llama_index.response_synthesizers.google.base import (
GoogleTextSynthesizer,
SynthesizedResponse,
)
from llama_index.vector_stores.google import set_google_config
__all__ = [
"GoogleTextSynthesizer",
"set_google_config",
"SynthesizedResponse",
]
| llama_index/llama-index-integrations/response_synthesizers/llama-index-response-synthesizers-google/llama_index/response_synthesizers/google/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/response_synthesizers/llama-index-response-synthesizers-google/llama_index/response_synthesizers/google/__init__.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,582 |
python_sources()
| llama_index/llama-index-finetuning/llama_index/finetuning/embeddings/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/embeddings/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,282 |
#
# 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 writing, software
# distributed under the ... | milvus/internal/core/cmake/FindClangTools.cmake/0 | {
"file_path": "milvus/internal/core/cmake/FindClangTools.cmake",
"repo_id": "milvus",
"token_count": 1388
} | 1,651 |
<jupyter_start><jupyter_text>Pydantic ExtractorHere we test out the capabilities of our `PydanticProgramExtractor` - being able to extract out an entire Pydantic object using an LLM (either a standard text completion LLM or a function calling LLM).The advantage of this over using a "single" metadata extractor is that w... | llama_index/docs/examples/metadata_extraction/PydanticExtractor.ipynb/0 | {
"file_path": "llama_index/docs/examples/metadata_extraction/PydanticExtractor.ipynb",
"repo_id": "llama_index",
"token_count": 1119
} | 1,149 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/llama_index/vector_stores/chroma/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/llama_index/vector_stores/chroma/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,518 |
<jupyter_start><jupyter_text>IndexingHere, we will look at a basic indexing workflow using the LangChain indexing API. The indexing API lets you load and keep in sync documents from any source into a vector store. Specifically, it helps:* Avoid writing duplicated content into the vector store* Avoid re-writing unchange... | langchain/docs/docs/modules/data_connection/indexing.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/indexing.ipynb",
"repo_id": "langchain",
"token_count": 3639
} | 192 |
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test } from "@jest/globals";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import {
SystemMessage,
AIMessage,
HumanMessage,
} from "@langchain/core/messages";
import { ChatLlamaCpp } from "../llama_cpp.js";
const llamaP... | langchainjs/libs/langchain-community/src/chat_models/tests/chatllama_cpp.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/tests/chatllama_cpp.int.test.ts",
"repo_id": "langchainjs",
"token_count": 864
} | 951 |
import { OpenAI } from "@langchain/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import { Calculator } from "langchain/tools/calculator";
import process from "process";
import { SerpAPI } from "@langchain/community/tools/serpapi";
export const run = async () => {
process.env.LANGCHA... | langchainjs/examples/src/agents/mrkl_with_tracing.ts/0 | {
"file_path": "langchainjs/examples/src/agents/mrkl_with_tracing.ts",
"repo_id": "langchainjs",
"token_count": 336
} | 757 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | transformers/src/transformers/models/electra/configuration_electra.py/0 | {
"file_path": "transformers/src/transformers/models/electra/configuration_electra.py",
"repo_id": "transformers",
"token_count": 3700
} | 599 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
import WithoutReference from "@examples/guides/evaluation/string/criteria_without_reference.ts";
import WithReference from "@examples/guides/evaluation/string/criteria_with_reference.ts";
import Constitutional from "@examples/guides/evaluat... | langchainjs/docs/core_docs/docs/guides/evaluation/string/criteria.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/guides/evaluation/string/criteria.mdx",
"repo_id": "langchainjs",
"token_count": 1217
} | 706 |
# 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/models/unets/test_models_unet_2d_condition.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d_condition.py",
"repo_id": "diffusers",
"token_count": 23035
} | 271 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .cross_entropy import LabelSmoothingCrossEntropy
class JsdCrossEntropy(nn.Module):
""" Jensen-Shannon Divergence + Cross-Entropy Loss
Based on impl here: https://github.com/google-research/augmix/blob/master/imagenet.py
From paper: ... | pytorch-image-models/timm/loss/jsd.py/0 | {
"file_path": "pytorch-image-models/timm/loss/jsd.py",
"repo_id": "pytorch-image-models",
"token_count": 639
} | 380 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import * as url from "node:url";
import * as path from "node:path";
import { test, expect } from "@jest/globals";
import {
UnstructuredDirectoryLoader,
UnstructuredLoader,
UnknownHandling,
} from "../fs/unstructured... | langchainjs/langchain/src/document_loaders/tests/unstructured.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/unstructured.int.test.ts",
"repo_id": "langchainjs",
"token_count": 644
} | 897 |
import json
from typing import Any, Dict, List, Optional
from langchain_community.chat_models.ollama import ChatOllama
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import BaseChatModel
from langchain_core.messages import AIMessage, BaseMessage
from langchain_core.ou... | langchain/libs/experimental/langchain_experimental/llms/ollama_functions.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/llms/ollama_functions.py",
"repo_id": "langchain",
"token_count": 2190
} | 463 |
""" Polynomial Scheduler
Polynomial LR schedule with warmup, noise.
Hacked together by / Copyright 2021 Ross Wightman
"""
import math
import logging
import torch
from .scheduler import Scheduler
_logger = logging.getLogger(__name__)
class PolyLRScheduler(Scheduler):
""" Polynomial LR Scheduler w/ warmup, no... | pytorch-image-models/timm/scheduler/poly_lr.py/0 | {
"file_path": "pytorch-image-models/timm/scheduler/poly_lr.py",
"repo_id": "pytorch-image-models",
"token_count": 1967
} | 408 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/stable_diffusion.md/0 | {
"file_path": "diffusers/docs/source/en/stable_diffusion.md",
"repo_id": "diffusers",
"token_count": 3962
} | 190 |
import { check, randomSeed } from 'k6';
import http from 'k6/http';
import { Trend, Counter } from 'k6/metrics';
import { randomItem } from 'https://jslib.k6.io/k6-utils/1.2.0/index.js';
const seed = 0;
const host = __ENV.HOST || '127.0.0.1:8000';
const timePerToken = new Trend('time_per_token', true);
const tokens =... | text-generation-inference/load_tests/common.js/0 | {
"file_path": "text-generation-inference/load_tests/common.js",
"repo_id": "text-generation-inference",
"token_count": 1026
} | 391 |
from llama_index.core.multi_modal_llms.base import MultiModalLLM
from llama_index.multi_modal_llms.dashscope import DashScopeMultiModal
def test_class():
names_of_base_classes = [b.__name__ for b in DashScopeMultiModal.__mro__]
assert MultiModalLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/test_multi_modal_llms_dashscope.py/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/test_multi_modal_llms_dashscope.py",
"repo_id": "llama_index",
"token_count": 108
} | 1,247 |
import { type BaseMessage } from "@langchain/core/messages";
import { type BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import {
type BaseChatModelParams,
SimpleChatModel,
} from "@langchain/core/language_m... | langchainjs/libs/create-langchain-integration/template/src/chat_models.ts/0 | {
"file_path": "langchainjs/libs/create-langchain-integration/template/src/chat_models.ts",
"repo_id": "langchainjs",
"token_count": 921
} | 970 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-memos/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-memos/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,479 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/readers/google_readers/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/google_readers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,593 |
from __future__ import annotations
import logging
import uuid
from typing import Any, Iterable, List, Optional, Type
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
logger = logging.getLogger(__name_... | langchain/libs/community/langchain_community/vectorstores/atlas.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/atlas.py",
"repo_id": "langchain",
"token_count": 5672
} | 312 |
from langchain_community.vectorstores.llm_rails import LLMRails, LLMRailsRetriever
__all__ = ["LLMRails", "LLMRailsRetriever"]
| langchain/libs/langchain/langchain/vectorstores/llm_rails.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/llm_rails.py",
"repo_id": "langchain",
"token_count": 45
} | 573 |
import { test, expect, beforeEach, afterEach } from "@jest/globals";
import { DataSource } from "typeorm";
import { SqlDatabase } from "../sql_db.js";
let datasource: DataSource;
beforeEach(async () => {
datasource = new DataSource({
type: "sqlite",
database: ":memory:",
synchronize: true,
});
await... | langchainjs/langchain/src/tests/sql_database.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/tests/sql_database.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1588
} | 940 |
<jupyter_start><jupyter_text>Blackboard>[Blackboard Learn](https://en.wikipedia.org/wiki/Blackboard_Learn) (previously the Blackboard Learning Management System) is a web-based virtual learning environment and learning management system developed by Blackboard Inc. The software features course management, customizable ... | langchain/docs/docs/integrations/document_loaders/blackboard.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/blackboard.ipynb",
"repo_id": "langchain",
"token_count": 416
} | 103 |
# coding=utf-8
# 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 requir... | transformers/tests/models/rwkv/test_modeling_rwkv.py/0 | {
"file_path": "transformers/tests/models/rwkv/test_modeling_rwkv.py",
"repo_id": "transformers",
"token_count": 8254
} | 787 |
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Liu"
given-names: "Jerry"
orcid: "https://orcid.org/0000-0002-6694-3517"
title: "LlamaIndex"
doi: 10.5281/zenodo.1234
date-released: 2022-11-1
url: "https://github.com/jerryjliu/llama_index"
| llama_index/CITATION.cff/0 | {
"file_path": "llama_index/CITATION.cff",
"repo_id": "llama_index",
"token_count": 130
} | 1,073 |
"""Utils for interacting with the Semantic Scholar API."""
import logging
from typing import Any, Dict, Optional
from langchain_core.pydantic_v1 import BaseModel, root_validator
logger = logging.getLogger(__name__)
class SemanticScholarAPIWrapper(BaseModel):
"""Wrapper around semanticscholar.org API.
https:... | langchain/libs/community/langchain_community/utilities/semanticscholar.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/semanticscholar.py",
"repo_id": "langchain",
"token_count": 1188
} | 322 |
import logging
from typing import Any, Dict, Set, cast
from overrides import override
import yaml
from chromadb.auth import (
AuthorizationContext,
ServerAuthorizationConfigurationProvider,
ServerAuthorizationProvider,
)
from chromadb.auth.registry import register_provider, resolve_provider
from chromadb.co... | chroma/chromadb/auth/authz/__init__.py/0 | {
"file_path": "chroma/chromadb/auth/authz/__init__.py",
"repo_id": "chroma",
"token_count": 1882
} | 16 |
stable
| tokenizers/tokenizers/rust-toolchain/0 | {
"file_path": "tokenizers/tokenizers/rust-toolchain",
"repo_id": "tokenizers",
"token_count": 2
} | 478 |
from pprint import pformat
from typing import Any, Iterator, Mapping
from langchain_core.runnables import Runnable
from langchain_core.utils.input import get_bolded_text, get_colored_text
from langgraph.channels.base import BaseChannel, EmptyChannelError
def print_step_start(step: int, next_tasks: list[tuple[Runnab... | langgraph/langgraph/pregel/debug.py/0 | {
"file_path": "langgraph/langgraph/pregel/debug.py",
"repo_id": "langgraph",
"token_count": 507
} | 994 |
# Generated content DO NOT EDIT
class Normalizer:
"""
Base class for all normalizers
This class is not supposed to be instantiated directly. Instead, any implementation of a
Normalizer will return an instance of this class when instantiated.
"""
def normalize(self, normalized):
"""
... | tokenizers/bindings/python/py_src/tokenizers/normalizers/__init__.pyi/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/normalizers/__init__.pyi",
"repo_id": "tokenizers",
"token_count": 8053
} | 442 |
import asyncio
import json
from typing import Optional, Sequence
import langsmith.client
from fastapi import APIRouter, BackgroundTasks, HTTPException, Request
from fastapi.exceptions import RequestValidationError
from langchain.pydantic_v1 import ValidationError
from langchain_core.messages import AnyMessage
from lan... | opengpts/backend/app/api/runs.py/0 | {
"file_path": "opengpts/backend/app/api/runs.py",
"repo_id": "opengpts",
"token_count": 1707
} | 1,913 |
#include "cuda_utils.cuh"
#include<stdint.h>
#define AFFINE_OP(TYPENAME, FN_NAME) \
extern "C" __global__ void FN_NAME( \
const size_t numel, \
const size_t num_dims, \
const size_t *info, \
const TYPENAME *inp, \
TYPENAME *out, \
const TYPENAME mul, \
const TYPENAME add \
) { \
cons... | candle/candle-kernels/src/affine.cu/0 | {
"file_path": "candle/candle-kernels/src/affine.cu",
"repo_id": "candle",
"token_count": 654
} | 58 |
import { ChatOpenAI } from "@langchain/openai";
import { createSqlQueryChain } from "langchain/chains/sql_db";
import { SqlDatabase } from "langchain/sql_db";
import { DataSource } from "typeorm";
import { QuerySqlTool } from "langchain/tools/sql";
const datasource = new DataSource({
type: "sqlite",
database: "../... | langchainjs/examples/src/use_cases/sql/quickstart_execute_sql.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/quickstart_execute_sql.ts",
"repo_id": "langchainjs",
"token_count": 258
} | 857 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-chroma-autoretrieval/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-chroma-autoretrieval/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,661 |
"""Logic for converting internal query language to a valid Milvus query."""
from typing import Tuple, Union
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
COMPARATOR_TO_BER = {
Comparator.EQ: "==",
Comparator... | langchain/libs/langchain/langchain/retrievers/self_query/milvus.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/self_query/milvus.py",
"repo_id": "langchain",
"token_count": 1355
} | 570 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/tests/models/perceiver/test_tokenization_perceiver.py/0 | {
"file_path": "transformers/tests/models/perceiver/test_tokenization_perceiver.py",
"repo_id": "transformers",
"token_count": 6120
} | 830 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,591 |
<html>
<head>
<meta content="text/html;charset=utf-8" http-equiv="Content-Type" />
<title>Candle Llama.c Rust/WASM</title>
</head>
<body></body>
</html>
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<style>
... | candle/candle-wasm-examples/llama2-c/lib-example.html/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/lib-example.html",
"repo_id": "candle",
"token_count": 6089
} | 83 |
# Installation and Setup
The LlamaIndex ecosystem is structured using a collection of namespaced packages.
What this means for users is that LlamaIndex comes with a core starter bundle, and additional integrations can be installed as needed.
A complete list of packages and available integrations is available in our ... | llama_index/docs/getting_started/installation.md/0 | {
"file_path": "llama_index/docs/getting_started/installation.md",
"repo_id": "llama_index",
"token_count": 949
} | 1,116 |
from langchain_community.document_loaders.notion import NotionDirectoryLoader
__all__ = ["NotionDirectoryLoader"]
| langchain/libs/langchain/langchain/document_loaders/notion.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/notion.py",
"repo_id": "langchain",
"token_count": 31
} | 494 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.arize_phoenix_query_engine import (
ArizePhoenixQueryEnginePack,
)
def test_class():
names_of_base_classes = [b.__name__ for b in ArizePhoenixQueryEnginePack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/tests/test_packs_arize_phoenix_query_engine.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/tests/test_packs_arize_phoenix_query_engine.py",
"repo_id": "llama_index",
"token_count": 114
} | 1,833 |
from langchain_community.llms.minimax import (
Minimax,
)
__all__ = ["Minimax"]
| langchain/libs/langchain/langchain/llms/minimax.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/minimax.py",
"repo_id": "langchain",
"token_count": 36
} | 522 |
import { writable } from "svelte/store";
export interface WebSearchParameters {
useSearch: boolean;
nItems: number;
}
export const webSearchParameters = writable<WebSearchParameters>({
useSearch: false,
nItems: 5,
});
| chat-ui/src/lib/stores/webSearchParameters.ts/0 | {
"file_path": "chat-ui/src/lib/stores/webSearchParameters.ts",
"repo_id": "chat-ui",
"token_count": 68
} | 92 |
from langchain_community.agent_toolkits.file_management.toolkit import (
FileManagementToolkit,
)
__all__ = ["FileManagementToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/file_management/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/file_management/toolkit.py",
"repo_id": "langchain",
"token_count": 44
} | 433 |
#!/usr/bin/env python3
import torch
from diffusers import DiffusionPipeline
class UnetSchedulerOneForwardPipeline(DiffusionPipeline):
def __init__(self, unet, scheduler):
super().__init__()
self.register_modules(unet=unet, scheduler=scheduler)
def __call__(self):
image = torch.randn... | diffusers/examples/community/one_step_unet.py/0 | {
"file_path": "diffusers/examples/community/one_step_unet.py",
"repo_id": "diffusers",
"token_count": 299
} | 209 |
package grpccoordinator
import (
"context"
"testing"
"github.com/chroma/chroma-coordinator/internal/common"
"github.com/chroma/chroma-coordinator/internal/grpccoordinator/grpcutils"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbcore"
"github.com/chroma/chroma-coordinator/internal/proto/coordinat... | chroma/go/coordinator/internal/grpccoordinator/collection_service_test.go/0 | {
"file_path": "chroma/go/coordinator/internal/grpccoordinator/collection_service_test.go",
"repo_id": "chroma",
"token_count": 1632
} | 45 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,410 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,298 |
ENVIRONMENT=development | auto-evaluator/api/.env/0 | {
"file_path": "auto-evaluator/api/.env",
"repo_id": "auto-evaluator",
"token_count": 7
} | 0 |
from langchain import output_parsers
from tests.unit_tests import assert_all_importable
EXPECTED_ALL = [
"BooleanOutputParser",
"CombiningOutputParser",
"CommaSeparatedListOutputParser",
"DatetimeOutputParser",
"EnumOutputParser",
"GuardrailsOutputParser",
"ListOutputParser",
"MarkdownL... | langchain/libs/langchain/tests/unit_tests/output_parsers/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/output_parsers/test_imports.py",
"repo_id": "langchain",
"token_count": 335
} | 663 |
# candle
[](https://discord.gg/hugging-face-879548962464493619)
[](https://crates.io/crates/candle-core)
[](htt... | candle/README.md/0 | {
"file_path": "candle/README.md",
"repo_id": "candle",
"token_count": 7311
} | 31 |
# 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/dit/convert_dit_unilm_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/dit/convert_dit_unilm_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4018
} | 653 |
<jupyter_start><jupyter_text>Infinity`Infinity` allows to create `Embeddings` using a MIT-licensed Embedding Server. This notebook goes over how to use Langchain with Embeddings with the [Infinity Github Project](https://github.com/michaelfeil/infinity). Imports<jupyter_code>from langchain_community.embeddings import ... | langchain/docs/docs/integrations/text_embedding/infinity.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/infinity.ipynb",
"repo_id": "langchain",
"token_count": 878
} | 164 |
from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from diffusers import StableDiffusionImg2ImgPipeline
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
class MaskedStableDiffusionImg2ImgPipeline(StableDiffusionImg2ImgPipeline... | diffusers/examples/community/masked_stable_diffusion_img2img.py/0 | {
"file_path": "diffusers/examples/community/masked_stable_diffusion_img2img.py",
"repo_id": "diffusers",
"token_count": 6312
} | 200 |
import contextlib
import re
from pathlib import Path
from typing import Any, List, Optional, Tuple
from urllib.parse import unquote
from langchain_core.documents import Document
from langchain_community.document_loaders.directory import DirectoryLoader
from langchain_community.document_loaders.pdf import PyPDFLoader
... | langchain/libs/community/langchain_community/document_loaders/blackboard.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/blackboard.py",
"repo_id": "langchain",
"token_count": 4619
} | 227 |
// 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/pipeline/manager_test.go/0 | {
"file_path": "milvus/internal/querynodev2/pipeline/manager_test.go",
"repo_id": "milvus",
"token_count": 1401
} | 1,772 |
import { test, expect } from "@jest/globals";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { VectorStoreRetrieverMemory } from "../vector_store.js";
import { MemoryVectorStore } from "../../vectorstores/memory.js";
test("Test vector store memory", a... | langchainjs/langchain/src/memory/tests/vector_store_memory.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/tests/vector_store_memory.int.test.ts",
"repo_id": "langchainjs",
"token_count": 467
} | 935 |
#!/bin/bash
# Verify PIP tarball
tarball=$(readlink -f $1)
if [ -f "$tarball" ]; then
echo "Testing PIP package from tarball: $tarball"
else
echo "Could not find PIP package: $tarball"
fi
# Create temporary project dir
dir=$(mktemp -d)
echo "Building python project dir at $dir ..."
cd $dir
python3 -m venv ... | chroma/bin/test-package.sh/0 | {
"file_path": "chroma/bin/test-package.sh",
"repo_id": "chroma",
"token_count": 163
} | 11 |
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