text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
"""Steam API toolkit"""
| langchain/libs/community/langchain_community/tools/steam/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/steam/__init__.py",
"repo_id": "langchain",
"token_count": 7
} | 296 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/bart/test_modeling_flax_bart.py/0 | {
"file_path": "transformers/tests/models/bart/test_modeling_flax_bart.py",
"repo_id": "transformers",
"token_count": 17353
} | 731 |
import CodeBlock from "@theme/CodeBlock";
# Datetime parser
This OutputParser can be used to parse LLM output into datetime format.
import Example from "@examples/prompts/datetime_parser.ts";
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></Integr... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/datetime.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/datetime.mdx",
"repo_id": "langchainjs",
"token_count": 135
} | 738 |
from langchain_community.tools.slack.send_message import (
SendMessageSchema,
SlackSendMessage,
)
__all__ = ["SendMessageSchema", "SlackSendMessage"]
| langchain/libs/langchain/langchain/tools/slack/send_message.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/slack/send_message.py",
"repo_id": "langchain",
"token_count": 54
} | 611 |
from __future__ import absolute_import, division, print_function, unicode_literals
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers import RobertaConfig
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.roberta... | transformers/examples/research_projects/deebert/src/modeling_highway_roberta.py/0 | {
"file_path": "transformers/examples/research_projects/deebert/src/modeling_highway_roberta.py",
"repo_id": "transformers",
"token_count": 3077
} | 597 |
import asyncio
import logging
from typing import List, Optional, Sequence
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.language_models import BaseLanguageModel
from langchain_core.... | langchain/libs/langchain/langchain/retrievers/multi_query.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/multi_query.py",
"repo_id": "langchain",
"token_count": 2727
} | 568 |
---
sidebar_class_name: hidden
---
# Dynamically selecting from multiple prompts
This notebook demonstrates how to use the `RouterChain` paradigm to create a chain that dynamically selects the prompt to use for a given input. Specifically we show how to use the `MultiPromptChain` to create a question-answering chain ... | langchainjs/docs/core_docs/docs/modules/chains/additional/multi_prompt_router.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/additional/multi_prompt_router.mdx",
"repo_id": "langchainjs",
"token_count": 213
} | 804 |
// 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/distributed/querycoord/service_test.go/0 | {
"file_path": "milvus/internal/distributed/querycoord/service_test.go",
"repo_id": "milvus",
"token_count": 4747
} | 1,790 |
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { ConversationalRetrievalQAChain } from "langchain/chains";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
/* Initialize the LLM... | langchainjs/examples/src/chains/conversational_qa_external_memory_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/conversational_qa_external_memory_legacy.ts",
"repo_id": "langchainjs",
"token_count": 390
} | 799 |
[
{
"suite_params": [
{
"suite": "2_locust_search_5h.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/loop_search.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/loop_search.json",
"repo_id": "milvus",
"token_count": 122
} | 2,083 |
# Getting the absolute path of the current file's directory
import os
ABS_PATH = os.path.dirname(os.path.abspath(__file__))
# Getting the absolute path of the project's root directory
PROJECT_DIR = os.path.abspath(os.path.join(ABS_PATH, os.pardir, os.pardir))
# Loading the .env file if it exists
def _load_env() -> ... | langchain/libs/community/tests/integration_tests/conftest.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/conftest.py",
"repo_id": "langchain",
"token_count": 200
} | 341 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/seamless_m4t/test_tokenization_seamless_m4t.py/0 | {
"file_path": "transformers/tests/models/seamless_m4t/test_tokenization_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 15133
} | 769 |
# coding=utf-8
# Copyright 2022, The LongT5 Authors and 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... | transformers/src/transformers/models/longt5/configuration_longt5.py/0 | {
"file_path": "transformers/src/transformers/models/longt5/configuration_longt5.py",
"repo_id": "transformers",
"token_count": 3475
} | 684 |
<jupyter_start><jupyter_text>Pydantic Tree SummarizeIn this notebook, we demonstrate how to use tree summarize with structured outputs. Specifically, tree summarize is used to output pydantic objects.<jupyter_code>import os
import openai
os.environ["OPENAI_API_KEY"] = "sk-..."
openai.api_key = os.environ["OPENAI_API_K... | llama_index/docs/examples/response_synthesizers/pydantic_tree_summarize.ipynb/0 | {
"file_path": "llama_index/docs/examples/response_synthesizers/pydantic_tree_summarize.ipynb",
"repo_id": "llama_index",
"token_count": 787
} | 1,084 |
from llama_index.packs.llama_dataset_metadata.base import LlamaDatasetMetadataPack
__all__ = ["LlamaDatasetMetadataPack"]
| llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/__init__.py",
"repo_id": "llama_index",
"token_count": 45
} | 1,851 |
"use client";
import { usePathname } from 'next/navigation';
export function Navbar() {
const pathname = usePathname();
return (
<nav className="mb-4">
<a className={`mr-4 ${pathname === "/" ? "text-white border-b" : ""}`} href="/">🏴☠️ Chat</a>
<a className={`mr-4 ${pathname === "/structured_out... | langchain-nextjs-template/components/Navbar.tsx/0 | {
"file_path": "langchain-nextjs-template/components/Navbar.tsx",
"repo_id": "langchain-nextjs-template",
"token_count": 329
} | 70 |
use crate::backend::{BackendDevice, BackendStorage};
use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Layout, Result, Shape, WithDType};
pub use candle_kernels as kernels;
pub use cudarc;
use cudarc::cublas::{Gemm, GemmConfig, StridedBatchedConfig};
use cudarc::driver::{
CudaFun... | candle/candle-core/src/cuda_backend.rs/0 | {
"file_path": "candle/candle-core/src/cuda_backend.rs",
"repo_id": "candle",
"token_count": 45635
} | 38 |
# 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/unets/unet_3d_blocks.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_3d_blocks.py",
"repo_id": "diffusers",
"token_count": 48125
} | 240 |
// 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/exec/expression/UnaryExpr.cpp/0 | {
"file_path": "milvus/internal/core/src/exec/expression/UnaryExpr.cpp",
"repo_id": "milvus",
"token_count": 14073
} | 1,751 |
import copy
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
class HybridCLIPConfig(PretrainedConfig):
r"""
:class:`HybridCLIPConfig` is the configuration class to store the configuration of a
:class:`~HybridCLIPM... | transformers/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py",
"repo_id": "transformers",
"token_count": 1634
} | 545 |
from typing import Dict, Type
from llama_index.core.llms.custom import CustomLLM
from llama_index.core.llms.llm import LLM
from llama_index.core.llms.mock import MockLLM
RECOGNIZED_LLMS: Dict[str, Type[LLM]] = {
MockLLM.class_name(): MockLLM,
CustomLLM.class_name(): CustomLLM,
}
def load_llm(data: dict) -> ... | llama_index/llama-index-core/llama_index/core/llms/loading.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/llms/loading.py",
"repo_id": "llama_index",
"token_count": 292
} | 1,188 |
import { browser } from "$app/environment";
import { invalidate } from "$app/navigation";
import { base } from "$app/paths";
import { UrlDependency } from "$lib/types/UrlDependency";
import type { ObjectId } from "mongodb";
import { getContext, setContext } from "svelte";
import { type Writable, writable, get } from "s... | chat-ui/src/lib/stores/settings.ts/0 | {
"file_path": "chat-ui/src/lib/stores/settings.ts",
"repo_id": "chat-ui",
"token_count": 760
} | 101 |
import { ChatGPTPluginRetriever } from "langchain/retrievers/remote";
export const run = async () => {
const retriever = new ChatGPTPluginRetriever({
url: "http://0.0.0.0:8000",
auth: {
bearer: "super-secret-jwt-token-with-at-least-32-characters-long",
},
});
const docs = await retriever.getRe... | langchainjs/examples/src/retrievers/chatgpt-plugin.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/chatgpt-plugin.ts",
"repo_id": "langchainjs",
"token_count": 140
} | 815 |
<jupyter_start><jupyter_text>Weaviate>[Weaviate](https://weaviate.io/) is an open-source vector database. It allows you to store data objects and vector embeddings from>your favorite ML models, and scale seamlessly into billions of data objects.In the notebook, we'll demo the `SelfQueryRetriever` wrapped around a `Weav... | langchain/docs/docs/integrations/retrievers/self_query/weaviate_self_query.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/self_query/weaviate_self_query.ipynb",
"repo_id": "langchain",
"token_count": 1502
} | 159 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/tapex.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/tapex.md",
"repo_id": "transformers",
"token_count": 2167
} | 503 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-fusion-retriever/llama_index/packs/fusion_retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/llama_index/packs/fusion_retriever/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,653 |
from typing import List
import pytest
from llama_index.core.indices.document_summary.base import DocumentSummaryIndex
from llama_index.core.response_synthesizers import get_response_synthesizer
from llama_index.core.schema import Document
from llama_index.core.service_context import ServiceContext
from tests.mock_util... | llama_index/llama-index-core/tests/indices/document_summary/conftest.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/document_summary/conftest.py",
"repo_id": "llama_index",
"token_count": 486
} | 1,260 |
# Google
All functionality related to [Google Cloud Platform](https://cloud.google.com/) and other `Google` products.
## Chat models
### Google AI
Access GoogleAI `Gemini` models such as `gemini-pro` and `gemini-pro-vision` through the `ChatGoogleGenerativeAI` class.
```bash
pip install -U langchain-google-genai
`... | langchain/docs/docs/integrations/platforms/google.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/platforms/google.mdx",
"repo_id": "langchain",
"token_count": 5251
} | 137 |
# Copyright 2020 The TensorFlow 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 a... | datasets/src/datasets/download/mock_download_manager.py/0 | {
"file_path": "datasets/src/datasets/download/mock_download_manager.py",
"repo_id": "datasets",
"token_count": 4438
} | 129 |
package indexcgowrapper
/*
#cgo pkg-config: milvus_indexbuilder
#include <stdlib.h> // free
#include "indexbuilder/index_c.h"
*/
import "C"
import (
"context"
"fmt"
"path/filepath"
"runtime"
"unsafe"
"github.com/golang/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvu... | milvus/internal/util/indexcgowrapper/index.go/0 | {
"file_path": "milvus/internal/util/indexcgowrapper/index.go",
"repo_id": "milvus",
"token_count": 4824
} | 1,800 |
# LlamaIndex Readers Integration: Metal
| llama_index/llama-index-integrations/readers/llama-index-readers-metal/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-metal/README.md",
"repo_id": "llama_index",
"token_count": 9
} | 1,480 |
---
sidebar_class_name: hidden
---
# Dynamically selecting from multiple retrievers
This notebook demonstrates how to use the `RouterChain` paradigm to create a chain that dynamically selects which Retrieval system to use. Specifically we show how to use the `MultiRetrievalQAChain` to create a question-answering chai... | langchainjs/docs/core_docs/docs/modules/chains/additional/multi_retrieval_qa_router.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/additional/multi_retrieval_qa_router.mdx",
"repo_id": "langchainjs",
"token_count": 227
} | 782 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,840 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/tuners/adalora/__init__.py/0 | {
"file_path": "peft/src/peft/tuners/adalora/__init__.py",
"repo_id": "peft",
"token_count": 429
} | 347 |
"""Test HanaVector functionality."""
from langchain_community.vectorstores import HanaDB
def test_int_sanitation_with_illegal_value() -> None:
"""Test sanitization of int with illegal value"""
successful = True
try:
HanaDB._sanitize_int("HUGO")
successful = False
except ValueError:
... | langchain/libs/community/tests/unit_tests/vectorstores/test_hanavector.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/vectorstores/test_hanavector.py",
"repo_id": "langchain",
"token_count": 456
} | 385 |
import json
import os
from unittest import mock
import pytest
from langchain_community.chat_models.azure_openai import AzureChatOpenAI
@mock.patch.dict(
os.environ,
{
"OPENAI_API_KEY": "test",
"OPENAI_API_BASE": "https://oai.azure.com/",
"OPENAI_API_VERSION": "2023-05-01",
},
)
@... | langchain/libs/community/tests/unit_tests/chat_models/test_azureopenai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/chat_models/test_azureopenai.py",
"repo_id": "langchain",
"token_count": 776
} | 361 |
{
"name": "langserve-playground",
"private": true,
"version": "0.0.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "tsc && vite build",
"lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0",
"preview": "vite preview"
},
"dependencies": {
"@emoti... | langserve/langserve/playground/package.json/0 | {
"file_path": "langserve/langserve/playground/package.json",
"repo_id": "langserve",
"token_count": 858
} | 1,046 |
# coding=utf-8
# Copyright 2021 The EleutherAI and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | transformers/src/transformers/models/gptj/modeling_flax_gptj.py/0 | {
"file_path": "transformers/src/transformers/models/gptj/modeling_flax_gptj.py",
"repo_id": "transformers",
"token_count": 12460
} | 626 |
---
sidebar_label: Cohere
sidebar_class_name: beta
---
import CodeBlock from "@theme/CodeBlock";
# ChatCohere
:::info
The Cohere Chat API is still in beta. This means Cohere may make breaking changes at any time.
:::
## Setup
In order to use the LangChain.js Cohere integration you'll need an API key.
You can sign ... | langchainjs/docs/core_docs/docs/integrations/chat/cohere.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/cohere.mdx",
"repo_id": "langchainjs",
"token_count": 1103
} | 708 |
from langchain_community.embeddings.sagemaker_endpoint import (
EmbeddingsContentHandler,
SagemakerEndpointEmbeddings,
)
__all__ = ["EmbeddingsContentHandler", "SagemakerEndpointEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/sagemaker_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/sagemaker_endpoint.py",
"repo_id": "langchain",
"token_count": 66
} | 548 |
"""Agent toolkit for interacting with vector stores."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/__init__.py",
"repo_id": "langchain",
"token_count": 12
} | 465 |
import asyncio
import json
import logging
from typing import Any, Dict, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class SurrealDBLoader(BaseLoader):
"""Load SurrealDB documents."""
def ... | langchain/libs/community/langchain_community/document_loaders/surrealdb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/surrealdb.py",
"repo_id": "langchain",
"token_count": 1385
} | 250 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,495 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc. team and MosaicML NLP 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 requ... | transformers/src/transformers/models/mpt/modeling_mpt.py/0 | {
"file_path": "transformers/src/transformers/models/mpt/modeling_mpt.py",
"repo_id": "transformers",
"token_count": 17671
} | 696 |
<jupyter_start><jupyter_text>Activeloop Deep Memory**How do we get +15% RAG hit_rate improvement for question answering on documentation?** Retrieval-Augmented Generators (RAGs) have recently gained significant attention. As advanced RAG techniques and agents emerge, they expand the potential of what RAGs can accomplis... | llama_index/docs/examples/retrievers/deep_memory.ipynb/0 | {
"file_path": "llama_index/docs/examples/retrievers/deep_memory.ipynb",
"repo_id": "llama_index",
"token_count": 4557
} | 1,085 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class Pop2PianoFeatureExtractor(metaclass=DummyObject):
_backends = ["music"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["music"])
class Pop2PianoTokeniz... | transformers/src/transformers/utils/dummy_music_objects.py/0 | {
"file_path": "transformers/src/transformers/utils/dummy_music_objects.py",
"repo_id": "transformers",
"token_count": 169
} | 716 |
<!--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/it/preprocessing.md/0 | {
"file_path": "transformers/docs/source/it/preprocessing.md",
"repo_id": "transformers",
"token_count": 9558
} | 511 |
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
... | langchain/libs/community/langchain_community/llms/nlpcloud.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/nlpcloud.py",
"repo_id": "langchain",
"token_count": 2157
} | 271 |
<!--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/ko/using-diffusers/conditional_image_generation.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/conditional_image_generation.md",
"repo_id": "diffusers",
"token_count": 1551
} | 192 |
from datetime import datetime
from typing import Dict, List, Optional, Union
from uuid import UUID
from pydantic import BaseModel # Floats between v1 and v2
from langserve.pydantic_v1 import BaseModel as BaseModelV1
class CustomUserType(BaseModelV1):
"""Inherit from this class to create a custom user type.
... | langserve/langserve/schema.py/0 | {
"file_path": "langserve/langserve/schema.py",
"repo_id": "langserve",
"token_count": 939
} | 1,067 |
from __module_name__ import __all__
EXPECTED_ALL = [
"__ModuleName__LLM",
"Chat__ModuleName__",
"__ModuleName__VectorStore",
"__ModuleName__Embeddings",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/cli/langchain_cli/integration_template/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/cli/langchain_cli/integration_template/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 103
} | 222 |
package migration
import (
"fmt"
"github.com/blang/semver/v4"
"github.com/milvus-io/milvus/cmd/tools/migration/meta"
"github.com/milvus-io/milvus/cmd/tools/migration/versions"
)
type Migrator interface {
Migrate(metas *meta.Meta) (*meta.Meta, error)
}
func NewMigrator(sourceVersion, targetVersion string) (Mig... | milvus/cmd/tools/migration/migration/migrator.go/0 | {
"file_path": "milvus/cmd/tools/migration/migration/migrator.go",
"repo_id": "milvus",
"token_count": 278
} | 1,899 |
python_sources()
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/llama_index/callbacks/argilla/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/llama_index/callbacks/argilla/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,243 |
// 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/cluster/worker_test.go/0 | {
"file_path": "milvus/internal/querynodev2/cluster/worker_test.go",
"repo_id": "milvus",
"token_count": 6790
} | 1,867 |
# Learning Tools (Experimental 🧪)
Using Large Language Models (LLMs) with tools has been a popular topic recently with awesome works such as [ToolFormer](https://arxiv.org/abs/2302.04761) and [ToolBench](https://arxiv.org/pdf/2305.16504.pdf). In TRL, we provide a simple example of how to teach LLM to use tools with r... | trl/docs/source/learning_tools.mdx/0 | {
"file_path": "trl/docs/source/learning_tools.mdx",
"repo_id": "trl",
"token_count": 3876
} | 817 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/meta/channel_dist_manager.go/0 | {
"file_path": "milvus/internal/querycoordv2/meta/channel_dist_manager.go",
"repo_id": "milvus",
"token_count": 1656
} | 1,841 |
# Use model after training
Once you have trained a model using either the SFTTrainer, PPOTrainer, or DPOTrainer, you will have a fine-tuned model that can be used for text generation. In this section, we'll walk through the process of loading the fine-tuned model and generating text. If you need to run an inference se... | trl/docs/source/use_model.md/0 | {
"file_path": "trl/docs/source/use_model.md",
"repo_id": "trl",
"token_count": 778
} | 772 |
""" Interpolation helpers for timm layers
RegularGridInterpolator from https://github.com/sbarratt/torch_interpolations
Copyright Shane Barratt, Apache 2.0 license
"""
import torch
from itertools import product
class RegularGridInterpolator:
""" Interpolate data defined on a rectilinear grid with even or uneven ... | pytorch-image-models/timm/layers/interpolate.py/0 | {
"file_path": "pytorch-image-models/timm/layers/interpolate.py",
"repo_id": "pytorch-image-models",
"token_count": 1121
} | 376 |
.. _Ref-Indices-StructStore:
Structured Store Index
======================
.. automodule:: llama_index.core.indices.struct_store
:members:
:inherited-members:
:exclude-members: delete, docstore, index_struct, index_struct_cls
| llama_index/docs/api_reference/indices/struct_store.rst/0 | {
"file_path": "llama_index/docs/api_reference/indices/struct_store.rst",
"repo_id": "llama_index",
"token_count": 80
} | 1,111 |
python_test_utils(
name="test_utils",
)
python_tests(
name="tests",
skip_tests=True,
)
python_sources()
| llama_index/llama-index-legacy/tests/indices/tree/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/tree/BUILD",
"repo_id": "llama_index",
"token_count": 52
} | 1,635 |
import { ChatPromptTemplate } from "@langchain/core/prompts";
import {
RunnablePassthrough,
RunnableSequence,
} from "@langchain/core/runnables";
import { ChatOpenAI } from "@langchain/openai";
import { createStructuredOutputRunnable } from "langchain/chains/openai_functions";
import { createSqlQueryChain } from "l... | langchainjs/examples/src/use_cases/sql/large_db.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/large_db.ts",
"repo_id": "langchainjs",
"token_count": 1975
} | 889 |
<jupyter_start><jupyter_text>OpenAI[OpenAI](https://platform.openai.com/docs/introduction) offers a spectrum of models with different levels of power suitable for different tasks.This example goes over how to use LangChain to interact with `OpenAI` [models](https://platform.openai.com/docs/models)<jupyter_code># get a ... | langchain/docs/docs/integrations/llms/openai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/openai.ipynb",
"repo_id": "langchain",
"token_count": 640
} | 131 |
<jupyter_start><jupyter_text>How to deploy Large Language Models (LLMs) to Amazon SageMaker using new Hugging Face LLM DLCThis is an example on how to deploy the open-source LLMs, like [BLOOM](bigscience/bloom) to Amazon SageMaker for inference using the new Hugging Face LLM Inference Container. We will deploy the 12B ... | notebooks/sagemaker/27_deploy_large_language_models/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/27_deploy_large_language_models/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 4572
} | 292 |
import { dereference } from "./dereference.js";
import { Schema, SchemaDraft } from "./types.js";
import { validate } from "./validate.js";
export class Validator {
private readonly lookup: ReturnType<typeof dereference>;
constructor(
private readonly schema: Schema | boolean,
private readonly draft: Sche... | langchainjs/langchain-core/src/utils/@cfworker/json-schema/src/validator.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/@cfworker/json-schema/src/validator.ts",
"repo_id": "langchainjs",
"token_count": 284
} | 873 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/storage/pk_statistics.go/0 | {
"file_path": "milvus/internal/storage/pk_statistics.go",
"repo_id": "milvus",
"token_count": 1139
} | 2,012 |
from langchain_community.graphs.falkordb_graph import (
FalkorDBGraph,
)
__all__ = [
"FalkorDBGraph",
]
| langchain/libs/langchain/langchain/graphs/falkordb_graph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/falkordb_graph.py",
"repo_id": "langchain",
"token_count": 49
} | 506 |
export * from "./src/index.js";
| langchainjs/langchain-core/src/utils/@cfworker/json-schema/index.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/@cfworker/json-schema/index.ts",
"repo_id": "langchainjs",
"token_count": 12
} | 906 |
#!/usr/bin/env python3
""" Checkpoint Averaging Script
This script averages all model weights for checkpoints in specified path that match
the specified filter wildcard. All checkpoints must be from the exact same model.
For any hope of decent results, the checkpoints should be from the same or child
(via resumes) tr... | pytorch-image-models/avg_checkpoints.py/0 | {
"file_path": "pytorch-image-models/avg_checkpoints.py",
"repo_id": "pytorch-image-models",
"token_count": 2377
} | 312 |
import torch
import torch.distributed
from typing import List, Optional, Tuple
from transformers import (
AutoTokenizer,
AutoConfig,
)
from text_generation_server.models import Seq2SeqLM
from text_generation_server.models.custom_modeling.t5_modeling import (
T5ForConditionalGeneration,
)
from text_genera... | text-generation-inference/server/text_generation_server/models/t5.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/t5.py",
"repo_id": "text-generation-inference",
"token_count": 1617
} | 400 |
"""Tests for the time-weighted retriever class."""
from datetime import datetime, timedelta
from typing import Any, Iterable, List, Optional, Tuple, Type
import pytest
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
fr... | langchain/libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py",
"repo_id": "langchain",
"token_count": 2351
} | 613 |
<script lang="ts">
import type { WebSearchUpdate } from "$lib/types/MessageUpdate";
import CarbonError from "~icons/carbon/error-filled";
import EosIconsLoading from "~icons/eos-icons/loading";
import IconInternet from "./icons/IconInternet.svelte";
export let classNames = "";
export let webSearchMessages: WebS... | chat-ui/src/lib/components/OpenWebSearchResults.svelte/0 | {
"file_path": "chat-ui/src/lib/components/OpenWebSearchResults.svelte",
"repo_id": "chat-ui",
"token_count": 1726
} | 86 |
# utils script
# generation with retry
import logging
from typing import Any, Callable, Optional
import google.api_core
import vertexai
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
... | llama_index/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/utils.py",
"repo_id": "llama_index",
"token_count": 3357
} | 1,335 |
"""Toolkit for interacting with a vector store."""
from typing import List
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.llms.openai import OpenAI
from langchain_community.tools.vectorstore.tool import (
VectorStoreQATool,
VectorStoreQAWithSourcesTool,
)
from langchai... | langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/toolkit.py",
"repo_id": "langchain",
"token_count": 1185
} | 449 |
<jupyter_start><jupyter_text>LLM Predictor If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-openai
%pip install llama-index-llms-langchain
!pip install llama-index<jupyter_output><empty_output><jupyter_text>LangChain LLM<jupyter_code>f... | llama_index/docs/examples/llm/llm_predictor.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/llm_predictor.ipynb",
"repo_id": "llama_index",
"token_count": 713
} | 1,144 |
python_sources()
| llama_index/llama-index-core/llama_index/core/base/response/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/base/response/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,246 |
from __future__ import annotations
import logging
import re
from typing import TYPE_CHECKING, Any, List, Optional, Pattern
from urllib.parse import urlparse
import numpy as np
logger = logging.getLogger(__name__)
if TYPE_CHECKING:
from redis.client import Redis as RedisType
def _array_to_buffer(array: List[fl... | langchain/libs/community/langchain_community/utilities/redis.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/redis.py",
"repo_id": "langchain",
"token_count": 3155
} | 303 |
{
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"processor_class": "Wav2Vec2Processor"
}
| transformers/tests/fixtures/dummy_feature_extractor_config.json/0 | {
"file_path": "transformers/tests/fixtures/dummy_feature_extractor_config.json",
"repo_id": "transformers",
"token_count": 42
} | 793 |
from rag_codellama_fireworks.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-codellama-fireworks/rag_codellama_fireworks/__init__.py/0 | {
"file_path": "langchain/templates/rag-codellama-fireworks/rag_codellama_fireworks/__init__.py",
"repo_id": "langchain",
"token_count": 23
} | 671 |
from langchain_community.agent_toolkits.gmail.toolkit import SCOPES, GmailToolkit
__all__ = ["SCOPES", "GmailToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/gmail/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/gmail/toolkit.py",
"repo_id": "langchain",
"token_count": 42
} | 444 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Tool } from "@langchain/core/tools";
/**
* Interface for the results returned by the Searxng search.
*/
interface SearxngResults {
query: string;
number_of_results: number;
results: Array<{
url: string;
title: string;
cont... | langchainjs/libs/langchain-community/src/tools/searxng_search.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/searxng_search.ts",
"repo_id": "langchainjs",
"token_count": 2545
} | 960 |
"""Google Places API Toolkit."""
from langchain_community.tools.google_places.tool import GooglePlacesTool
__all__ = ["GooglePlacesTool"]
| langchain/libs/community/langchain_community/tools/google_places/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/google_places/__init__.py",
"repo_id": "langchain",
"token_count": 41
} | 310 |
// 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/util/initcore/init_core.go/0 | {
"file_path": "milvus/internal/util/initcore/init_core.go",
"repo_id": "milvus",
"token_count": 1939
} | 1,942 |
@base <https://swapi.co/resource/>.
@prefix voc: <https://swapi.co/vocabulary/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
{
<human/11>
a voc:Character , voc:Human ;
rdfs:label "Anakin Skywalker", "Darth Vader" ;
... | langchain/libs/langchain/tests/integration_tests/chains/docker-compose-ontotext-graphdb/starwars-data.trig/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/chains/docker-compose-ontotext-graphdb/starwars-data.trig",
"repo_id": "langchain",
"token_count": 2791
} | 580 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,196 |
import argparse
import logging
import os
import sys
import tensorflow as tf
from datasets import load_dataset
from tqdm import tqdm
from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
from transformers.file_utils import is_sagemaker_dp_enabled
if os.environ.get("SDP_ENABLED") or is_sagemaker_... | notebooks/sagemaker/07_tensorflow_distributed_training_data_parallelism/scripts/train.py/0 | {
"file_path": "notebooks/sagemaker/07_tensorflow_distributed_training_data_parallelism/scripts/train.py",
"repo_id": "notebooks",
"token_count": 2936
} | 317 |
# 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_xl/pipeline_stable_diffusion_xl_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py",
"repo_id": "diffusers",
"token_count": 34448
} | 260 |
//! A `VarBuilder` is used to retrieve variables used by a model. These variables can either come
//! from a pre-trained checkpoint, e.g. using `VarBuilder::from_mmaped_safetensors`, or initialized
//! for training, e.g. using `VarBuilder::from_varmap`.
use crate::VarMap;
use candle::{safetensors::Load, DType, Device, ... | candle/candle-nn/src/var_builder.rs/0 | {
"file_path": "candle/candle-nn/src/var_builder.rs",
"repo_id": "candle",
"token_count": 8632
} | 57 |
from langchain_community.document_loaders.html import UnstructuredHTMLLoader
__all__ = ["UnstructuredHTMLLoader"]
| langchain/libs/langchain/langchain/document_loaders/html.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/html.py",
"repo_id": "langchain",
"token_count": 38
} | 482 |
python_tests(
name="tests",
)
| llama_index/llama-index-finetuning/tests/embeddings/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/embeddings/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,222 |
# Copyright 2021 AlQuraishi Laboratory
# Copyright 2021 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | transformers/src/transformers/models/esm/openfold_utils/residue_constants.py/0 | {
"file_path": "transformers/src/transformers/models/esm/openfold_utils/residue_constants.py",
"repo_id": "transformers",
"token_count": 19142
} | 643 |
from langchain_core.runnables.history import (
GetSessionHistoryCallable,
MessagesOrDictWithMessages,
RunnableWithMessageHistory,
)
__all__ = [
"RunnableWithMessageHistory",
"GetSessionHistoryCallable",
"MessagesOrDictWithMessages",
]
| langchain/libs/langchain/langchain/schema/runnable/history.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/runnable/history.py",
"repo_id": "langchain",
"token_count": 95
} | 591 |
<jupyter_start><jupyter_text>Traduction (TensorFlow) Installez les bibliothèques 🤗 *Datasets* et 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!apt install git-lfs<jupyter_output>Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab... | notebooks/course/fr/chapter7/section4_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section4_tf.ipynb",
"repo_id": "notebooks",
"token_count": 3062
} | 300 |
"""RAGatouille Retriever Pack."""
from typing import Any, Dict, List, Optional
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.indices.query.schema import QueryBundle
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.llms.llm import LLM
from llama_in... | llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/llama_index/packs/ragatouille_retriever/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/llama_index/packs/ragatouille_retriever/base.py",
"repo_id": "llama_index",
"token_count": 2044
} | 1,668 |
from langchain_core.exceptions import LangChainException
__all__ = ["LangChainException"]
| langchain/libs/langchain/langchain/schema/exceptions.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/exceptions.py",
"repo_id": "langchain",
"token_count": 25
} | 576 |
/* eslint-disable no-instanceof/no-instanceof */
import { ICacheClient, CreateCache } from "@gomomento/sdk-core";
/**
* Utility function to ensure that a Momento cache exists.
* If the cache does not exist, it is created.
*
* @param client The Momento cache client.
* @param cacheName The name of the cache to ensu... | langchainjs/libs/langchain-community/src/utils/momento.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/momento.ts",
"repo_id": "langchainjs",
"token_count": 243
} | 976 |
# coding=utf-8
# Copyright 2022 The Open AI Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | transformers/src/transformers/models/jukebox/tokenization_jukebox.py/0 | {
"file_path": "transformers/src/transformers/models/jukebox/tokenization_jukebox.py",
"repo_id": "transformers",
"token_count": 7768
} | 618 |
from typing import Any, Generator, Optional, Sequence, cast
from llama_index.legacy.prompts import BasePromptTemplate
from llama_index.legacy.prompts.default_prompt_selectors import (
DEFAULT_TEXT_QA_PROMPT_SEL,
)
from llama_index.legacy.prompts.mixin import PromptDictType
from llama_index.legacy.response_synthesi... | llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/simple_summarize.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/simple_summarize.py",
"repo_id": "llama_index",
"token_count": 1558
} | 1,520 |
# Causal program-aided language (CPAL) chain
see https://github.com/langchain-ai/langchain/pull/6255
| langchain/libs/experimental/langchain_experimental/cpal/README.md/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/cpal/README.md",
"repo_id": "langchain",
"token_count": 35
} | 445 |
from llama_index.storage.kvstore.postgres.base import PostgresKVStore
__all__ = ["PostgresKVStore"]
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/llama_index/storage/kvstore/postgres/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/llama_index/storage/kvstore/postgres/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,608 |
package indexparamcheck
import (
"strconv"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/util/metric"
)
func Test_ivfPQChecker_CheckTrain(t *testing.T) {
validParams := map[string]string{
DIM: strconv.Itoa(128),
NL... | milvus/pkg/util/indexparamcheck/ivf_pq_checker_test.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/ivf_pq_checker_test.go",
"repo_id": "milvus",
"token_count": 2312
} | 2,110 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.