text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// 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/proxy/proxy.go/0 | {
"file_path": "milvus/internal/proxy/proxy.go",
"repo_id": "milvus",
"token_count": 6323
} | 1,830 |
<!--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/mvp.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mvp.md",
"repo_id": "transformers",
"token_count": 1922
} | 497 |
<jupyter_start><jupyter_text>Aleph Alpha[The Luminous series](https://docs.aleph-alpha.com/docs/introduction/luminous/) is a family of large language models.This example goes over how to use LangChain to interact with Aleph Alpha models<jupyter_code># Install the package
%pip install --upgrade --quiet aleph-alpha-clie... | langchain/docs/docs/integrations/llms/aleph_alpha.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/aleph_alpha.ipynb",
"repo_id": "langchain",
"token_count": 320
} | 124 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-intercom/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-intercom/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,317 |
<jupyter_start><jupyter_text>Blockchain Overview The intention of this notebook is to provide a means of testing functionality in the Langchain Document Loader for Blockchain.Initially this Loader supports:* Loading NFTs as Documents from NFT Smart Contracts (ERC721 and ERC1155)* Ethereum Mainnnet, Ethereum Testne... | langchain/docs/docs/integrations/document_loaders/blockchain.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/blockchain.ipynb",
"repo_id": "langchain",
"token_count": 653
} | 95 |
# Add patterns of files dvc should ignore, which could improve
# the performance. Learn more at
# https://dvc.org/doc/user-guide/dvcignore
| datasets/.dvcignore/0 | {
"file_path": "datasets/.dvcignore",
"repo_id": "datasets",
"token_count": 40
} | 124 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,587 |
from llama_index.extractors.entity import EntityExtractor
def test_extractor_class():
# TODO: mock the entity extractor
assert EntityExtractor.class_name() == "EntityExtractor"
| llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/tests/test_extractors_entity.py/0 | {
"file_path": "llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/tests/test_extractors_entity.py",
"repo_id": "llama_index",
"token_count": 58
} | 1,203 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/flow_graph_message.go/0 | {
"file_path": "milvus/internal/datanode/flow_graph_message.go",
"repo_id": "milvus",
"token_count": 709
} | 1,837 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/dpt/test_modeling_dpt_auto_backbone.py/0 | {
"file_path": "transformers/tests/models/dpt/test_modeling_dpt_auto_backbone.py",
"repo_id": "transformers",
"token_count": 5415
} | 719 |
// 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/target_manager_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/meta/target_manager_test.go",
"repo_id": "milvus",
"token_count": 7307
} | 1,979 |
from typing import Any, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
from langchain_comm... | langchain/libs/community/langchain_community/llms/huggingface_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/huggingface_endpoint.py",
"repo_id": "langchain",
"token_count": 2499
} | 269 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/question_gen/llama-index-question-gen-guidance/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/question_gen/llama-index-question-gen-guidance/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,361 |
/* eslint-disable import/first */
/* eslint-disable arrow-body-style */
/* eslint-disable import/no-duplicates */
import { ChatOpenAI } from "@langchain/openai";
const chat = new ChatOpenAI({
modelName: "gpt-3.5-turbo-1106",
temperature: 0.2,
});
import { CheerioWebBaseLoader } from "langchain/document_loaders/w... | langchainjs/examples/src/use_cases/chatbots/retrieval.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/chatbots/retrieval.ts",
"repo_id": "langchainjs",
"token_count": 1812
} | 845 |
reviewers:
- XuanYang-cn
- yhmo
approvers:
- maintainers
| milvus/scripts/OWNERS/0 | {
"file_path": "milvus/scripts/OWNERS",
"repo_id": "milvus",
"token_count": 29
} | 2,070 |
"""Test knowledge graph index."""
from typing import Any, Dict, List, Tuple
from unittest.mock import patch
import pytest
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.indices.knowledge_graph.base import KnowledgeGraphIndex
from llama_index.legacy.schema import Document, TextNod... | llama_index/llama-index-legacy/tests/indices/knowledge_graph/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/knowledge_graph/test_base.py",
"repo_id": "llama_index",
"token_count": 3347
} | 1,798 |
import pytest
@pytest.fixture(scope="module")
def t5_sharded_handle(launcher):
with launcher("google/flan-t5-xxl", num_shard=2) as handle:
yield handle
@pytest.fixture(scope="module")
async def t5_sharded(t5_sharded_handle):
await t5_sharded_handle.health(300)
return t5_sharded_handle.client
@... | text-generation-inference/integration-tests/models/test_t5_sharded.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_t5_sharded.py",
"repo_id": "text-generation-inference",
"token_count": 427
} | 408 |
import pytest
from langchain_community.tools.ddg_search.tool import (
DuckDuckGoSearchResults,
DuckDuckGoSearchRun,
)
def ddg_installed() -> bool:
try:
from duckduckgo_search import DDGS # noqa: F401
return True
except Exception as e:
print(f"duckduckgo not installed, skippi... | langchain/libs/community/tests/integration_tests/utilities/test_duckduckdgo_search_api.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/utilities/test_duckduckdgo_search_api.py",
"repo_id": "langchain",
"token_count": 365
} | 344 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/param_tuner/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/param_tuner/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,629 |
// 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/importutil/binlog_file.go/0 | {
"file_path": "milvus/internal/util/importutil/binlog_file.go",
"repo_id": "milvus",
"token_count": 8358
} | 2,073 |
<!---
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 ... | transformers/docs/source/it/installation.md/0 | {
"file_path": "transformers/docs/source/it/installation.md",
"repo_id": "transformers",
"token_count": 3575
} | 486 |
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.image_retriever import BaseImageRetriever
from llama_index.core.indices.empty.retrievers import EmptyIndexRetriever
from llama_index.core.indices.keyword_table.retrievers import (
KeywordTableSimpleRetriever,
)
from llama_index.cor... | llama_index/llama-index-core/llama_index/core/retrievers/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/retrievers/__init__.py",
"repo_id": "llama_index",
"token_count": 917
} | 1,175 |
---
sidebar_label: Google PaLM
---
import CodeBlock from "@theme/CodeBlock";
# ChatGooglePaLM
:::note
This integration does not support `gemini-*` models. Check [Google AI](/docs/integrations/chat/google_generativeai).
:::
The [Google PaLM API](https://developers.generativeai.google/products/palm) can be integrated... | langchainjs/docs/core_docs/docs/integrations/chat/google_palm.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/google_palm.mdx",
"repo_id": "langchainjs",
"token_count": 302
} | 774 |
import { FaissStore } from "@langchain/community/vectorstores/faiss";
import { OpenAIEmbeddings } from "@langchain/openai";
export const run = async () => {
const vectorStore = await FaissStore.fromTexts(
["Hello world", "Bye bye", "hello nice world"],
[{ id: 2 }, { id: 1 }, { id: 3 }],
new OpenAIEmbeddi... | langchainjs/examples/src/indexes/vector_stores/faiss.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/faiss.ts",
"repo_id": "langchainjs",
"token_count": 147
} | 784 |
import { CheerioWebBaseLoader } from "langchain/document_loaders/web/cheerio";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import { HtmlToTextTransformer } from "@langchain/community/document_transformers/html_to_text";
const loader = new CheerioWebBaseLoader(
"https://news.ycombinator.... | langchainjs/examples/src/document_transformers/html_to_text.ts/0 | {
"file_path": "langchainjs/examples/src/document_transformers/html_to_text.ts",
"repo_id": "langchainjs",
"token_count": 1748
} | 857 |
# Res2NeXt
**Res2NeXt** is an image model that employs a variation on [ResNeXt](https://paperswithcode.com/method/resnext) bottleneck residual blocks. The motivation is to be able to represent features at multiple scales. This is achieved through a novel building block for CNNs that constructs hierarchical residual-li... | pytorch-image-models/hfdocs/source/models/res2next.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/res2next.mdx",
"repo_id": "pytorch-image-models",
"token_count": 1711
} | 375 |
---
sidebar_label: Callbacks in custom Chains
---
# Callbacks in custom Chains/Agents
LangChain is designed to be extensible. You can add your own custom Chains and Agents to the library. This page will show you how to add callbacks to your custom Chains and Agents.
## Adding callbacks to custom Chains
When you cre... | langchainjs/docs/core_docs/docs/modules/callbacks/how_to/creating_subclasses.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/callbacks/how_to/creating_subclasses.mdx",
"repo_id": "langchainjs",
"token_count": 139
} | 803 |
<jupyter_start><jupyter_text>PubMed>[PubMed®](https://pubmed.ncbi.nlm.nih.gov/) by `The National Center for Biotechnology Information, National Library of Medicine` comprises more than 35 million citations for biomedical literature from `MEDLINE`, life science journals, and online books. Citations may include links to ... | langchain/docs/docs/integrations/retrievers/pubmed.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/pubmed.ipynb",
"repo_id": "langchain",
"token_count": 167
} | 169 |
label: 'Templates'
position: 4 | langchainjs/docs/core_docs/docs/get_started/_category_.yml/0 | {
"file_path": "langchainjs/docs/core_docs/docs/get_started/_category_.yml",
"repo_id": "langchainjs",
"token_count": 10
} | 718 |
<jupyter_start><jupyter_text>PaLM In this short notebook, we show how to use the PaLM LLM from Google in LlamaIndex: https://ai.google/discover/palm2/.We use the `text-bison-001` model by default. Setup If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install... | llama_index/docs/examples/llm/palm.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/palm.ipynb",
"repo_id": "llama_index",
"token_count": 355
} | 1,111 |
import { MongoDBAtlasVectorSearch } from "@langchain/community/vectorstores/mongodb_atlas";
import { CohereEmbeddings } from "@langchain/cohere";
import { MongoClient } from "mongodb";
const client = new MongoClient(process.env.MONGODB_ATLAS_URI || "");
const namespace = "langchain.test";
const [dbName, collectionName... | langchainjs/examples/src/indexes/vector_stores/mongodb_mmr.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/mongodb_mmr.ts",
"repo_id": "langchainjs",
"token_count": 389
} | 787 |
from llama_index.tools.text_to_image.base import TextToImageToolSpec
__all__ = ["TextToImageToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/llama_index/tools/text_to_image/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/llama_index/tools/text_to_image/__init__.py",
"repo_id": "llama_index",
"token_count": 35
} | 1,584 |
# Supporting Modules
```{toctree}
---
maxdepth: 1
---
/optimizing/advanced_retrieval/query_transformations.md
```
| llama_index/docs/module_guides/deploying/query_engine/supporting_modules.md/0 | {
"file_path": "llama_index/docs/module_guides/deploying/query_engine/supporting_modules.md",
"repo_id": "llama_index",
"token_count": 44
} | 1,154 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-fuzzy-citation/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fuzzy-citation/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,655 |
import { expect, test } from "@jest/globals";
import { DataSource } from "typeorm";
import { OpenAI } from "@langchain/openai";
import { SqlDatabaseChain } from "../sql_db/sql_db_chain.js";
import { SqlDatabase } from "../../sql_db.js";
import { SQL_SQLITE_PROMPT } from "../sql_db/sql_db_prompt.js";
test("Test SqlData... | langchainjs/langchain/src/chains/tests/sql_db_chain.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/sql_db_chain.int.test.ts",
"repo_id": "langchainjs",
"token_count": 5006
} | 859 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.remote_depth import RemoteDepthReader
def test_class():
names_of_base_classes = [b.__name__ for b in RemoteDepthReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-remote-depth/tests/test_readers_remote_depth.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-remote-depth/tests/test_readers_remote_depth.py",
"repo_id": "llama_index",
"token_count": 89
} | 1,435 |
<jupyter_start><jupyter_text>Text Embedding InferenceThis notebook demonstrates how to configure `TextEmbeddingInference` embeddings.The first step is to deploy the embeddings server. For detailed instructions, see the [official repository for Text Embeddings Inference](https://github.com/huggingface/text-embeddings-in... | llama_index/docs/examples/embeddings/text_embedding_inference.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/text_embedding_inference.ipynb",
"repo_id": "llama_index",
"token_count": 406
} | 1,182 |
export interface StreamCallback {
onSuccess?: (ctx: { input: unknown; output: unknown }) => void;
onError?: () => void;
onStart?: (ctx: { input: unknown }) => void;
}
| langserve/langserve/playground/src/types.tsx/0 | {
"file_path": "langserve/langserve/playground/src/types.tsx",
"repo_id": "langserve",
"token_count": 53
} | 1,051 |
<jupyter_start><jupyter_text>BagelDB> [BagelDB](https://www.bageldb.ai/) (`Open Vector Database for AI`), is like GitHub for AI data.It is a collaborative platform where users can create,share, and manage vector datasets. It can support private projects for independent developers,internal collaborations for enterprises... | langchain/docs/docs/integrations/vectorstores/bageldb.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/bageldb.ipynb",
"repo_id": "langchain",
"token_count": 759
} | 189 |
"""Init file."""
from llama_index.readers.mangadex.base import MangaDexReader
__all__ = ["MangaDexReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/llama_index/readers/mangadex/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/llama_index/readers/mangadex/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,516 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,313 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-proxy-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: proxy
mode: fixed
value: "1"
action: pod-failure
dura... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_proxy_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_proxy_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 139
} | 1,897 |
import { PromptTemplate } from "@langchain/core/prompts";
export const run = async () => {
// The `partial` method returns a new `PromptTemplate` object that can be used to format the prompt with only some of the input variables.
const promptA = new PromptTemplate({
template: "{foo}{bar}",
inputVariables: ... | langchainjs/examples/src/prompts/partial.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/partial.ts",
"repo_id": "langchainjs",
"token_count": 498
} | 848 |
compute_environment: LOCAL_MACHINE
deepspeed_config: {}
distributed_type: 'NO'
fsdp_config: {}
machine_rank: 0
main_process_ip: null
main_process_port: null
main_training_function: main
mixed_precision: 'no'
num_machines: 1
num_processes: 1
use_cpu: false | accelerate/tests/test_configs/0_11_0.yaml/0 | {
"file_path": "accelerate/tests/test_configs/0_11_0.yaml",
"repo_id": "accelerate",
"token_count": 95
} | 19 |
import { CohereRerank } from "@langchain/cohere";
import { Document } from "@langchain/core/documents";
const query = "What is the capital of the United States?";
const docs = [
new Document({
pageContent:
"Carson City is the capital city of the American state of Nevada. At the 2010 United States Census, C... | langchainjs/examples/src/document_compressors/cohere_rerank.ts/0 | {
"file_path": "langchainjs/examples/src/document_compressors/cohere_rerank.ts",
"repo_id": "langchainjs",
"token_count": 577
} | 796 |
# Petals
This page covers how to use the Petals ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Petals wrappers.
## Installation and Setup
- Install with `pip install petals`
- Get a Hugging Face api key and set it as an environment variable (`HUGGINGFA... | langchain/docs/docs/integrations/providers/petals.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/petals.mdx",
"repo_id": "langchain",
"token_count": 134
} | 144 |
import json
import pytest
import responses
from langchain_community.utilities.graphql import GraphQLAPIWrapper
TEST_ENDPOINT = "http://testserver/graphql"
# Mock GraphQL response for testing
MOCK_RESPONSE = {
"data": {
"allUsers": [{"name": "Alice"}],
"__schema": {
"queryType": {"nam... | langchain/libs/community/tests/unit_tests/utilities/test_graphql.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utilities/test_graphql.py",
"repo_id": "langchain",
"token_count": 1999
} | 383 |
from llama_index.core.selectors.embedding_selectors import EmbeddingSingleSelector
from llama_index.core.selectors.llm_selectors import (
LLMMultiSelector,
LLMSingleSelector,
)
from llama_index.core.selectors.pydantic_selectors import (
PydanticMultiSelector,
PydanticSingleSelector,
)
__all__ = [
"... | llama_index/llama-index-core/llama_index/core/selectors/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/selectors/__init__.py",
"repo_id": "llama_index",
"token_count": 178
} | 1,176 |
# langchain-openai
This package contains the LangChain integrations for OpenAI through their `openai` SDK.
## Installation and Setup
- Install the LangChain partner package
```bash
pip install langchain-openai
```
- Get an OpenAI api key and set it as an environment variable (`OPENAI_API_KEY`)
## LLM
See a [usage... | langchain/libs/partners/openai/README.md/0 | {
"file_path": "langchain/libs/partners/openai/README.md",
"repo_id": "langchain",
"token_count": 499
} | 674 |
# Using VectorStoreIndex
Vector Stores are a key component of retrieval-augmented generation (RAG) and so you will end up using them in nearly every application you make using LlamaIndex, either directly or indirectly.
Vector stores accept a list of [`Node` objects](/module_guides/loading/documents_and_nodes/root.md)... | llama_index/docs/module_guides/indexing/vector_store_index.md/0 | {
"file_path": "llama_index/docs/module_guides/indexing/vector_store_index.md",
"repo_id": "llama_index",
"token_count": 1722
} | 1,177 |
# coding=utf-8
# Copyright 2023 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/rwkv/convert_rwkv_checkpoint_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/rwkv/convert_rwkv_checkpoint_to_hf.py",
"repo_id": "transformers",
"token_count": 2938
} | 690 |
"""Test Meilisearch functionality."""
from typing import TYPE_CHECKING, Generator
import pytest
import requests
from langchain_core.documents import Document
from langchain_community.vectorstores import Meilisearch
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
if TYPE_CHECKING:
... | langchain/libs/community/tests/integration_tests/vectorstores/test_meilisearch.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_meilisearch.py",
"repo_id": "langchain",
"token_count": 2530
} | 356 |
"""init params."""
| llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,542 |
import json
import re
from typing import Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain.agents.agent import AgentOutputParser
from langchain.agents.chat.prompt import FORMAT_INSTRUCTIONS
FINAL_ANSWER_ACTION = "Final Answer:"... | langchain/libs/langchain/langchain/agents/output_parsers/react_json_single_input.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/output_parsers/react_json_single_input.py",
"repo_id": "langchain",
"token_count": 972
} | 469 |
# Schedulers
For more information on the schedulers, please refer to the [docs](https://huggingface.co/docs/diffusers/api/schedulers/overview). | diffusers/src/diffusers/schedulers/README.md/0 | {
"file_path": "diffusers/src/diffusers/schedulers/README.md",
"repo_id": "diffusers",
"token_count": 46
} | 263 |
import { test } from "@jest/globals";
import * as fs from "node:fs/promises";
import { fileURLToPath } from "node:url";
import * as path from "node:path";
import { HumanMessage } from "@langchain/core/messages";
import { ChatGoogleGenerativeAI } from "../chat_models.js";
test("Test Google AI", async () => {
const mo... | langchainjs/libs/langchain-google-genai/src/tests/chat_models.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-google-genai/src/tests/chat_models.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1434
} | 1,017 |
#!/usr/bin/env bash
# Licensed to the LF AI & Data foundation under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you... | milvus/scripts/standalone_embed.sh/0 | {
"file_path": "milvus/scripts/standalone_embed.sh",
"repo_id": "milvus",
"token_count": 1444
} | 2,073 |
import math
import tempfile
from typing import List, Optional
import numpy as np
import PIL.Image
import torch
from accelerate import Accelerator
from torchvision import transforms
from tqdm.auto import tqdm
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DiffusionPipeline, ... | diffusers/examples/community/sde_drag.py/0 | {
"file_path": "diffusers/examples/community/sde_drag.py",
"repo_id": "diffusers",
"token_count": 11664
} | 209 |
// 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/checkers/util_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/checkers/util_test.go",
"repo_id": "milvus",
"token_count": 1379
} | 1,859 |
import type { VectorStoreInterface } from "@langchain/core/vectorstores";
import { Comparators, Operators } from "../../chains/query_constructor/ir.js";
import { BasicTranslator } from "./base.js";
/**
* Specialized translator class that extends the BasicTranslator. It is
* designed to work with PineconeStore, a typ... | langchainjs/langchain/src/retrievers/self_query/pinecone.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/self_query/pinecone.ts",
"repo_id": "langchainjs",
"token_count": 433
} | 982 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ....utils import (
BaseOutput,
)
@dataclass
# Copied from diffusers.pipelines.stable_diffusion.pipeline_output.StableDiffusionPipelineOutput with Stable->Alt
class AltDiffusionPipelineOutput(BaseO... | diffusers/src/diffusers/pipelines/deprecated/alt_diffusion/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/alt_diffusion/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 344
} | 221 |
<jupyter_start><jupyter_text>CAMEL Role-Playing Autonomous Cooperative AgentsThis is a langchain implementation of paper: "CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society".Overview:The rapid advancement of conversational and chat-based language models has led to remarkable progr... | langchain/cookbook/camel_role_playing.ipynb/0 | {
"file_path": "langchain/cookbook/camel_role_playing.ipynb",
"repo_id": "langchain",
"token_count": 3106
} | 75 |
// 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/connection_manager_test.go/0 | {
"file_path": "milvus/internal/distributed/connection_manager_test.go",
"repo_id": "milvus",
"token_count": 3224
} | 1,930 |
from langchain_community.tools.file_management.file_search import (
FileSearchInput,
FileSearchTool,
)
__all__ = ["FileSearchInput", "FileSearchTool"]
| langchain/libs/langchain/langchain/tools/file_management/file_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/file_management/file_search.py",
"repo_id": "langchain",
"token_count": 52
} | 554 |
"""Init composability."""
from llama_index.legacy.composability.base import ComposableGraph
from llama_index.legacy.composability.joint_qa_summary import (
QASummaryQueryEngineBuilder,
)
__all__ = ["ComposableGraph", "QASummaryQueryEngineBuilder"]
| llama_index/llama-index-legacy/llama_index/legacy/composability/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/composability/__init__.py",
"repo_id": "llama_index",
"token_count": 84
} | 1,644 |
import argparse
import torch
from diffusers import MotionAdapter
def convert_motion_module(original_state_dict):
converted_state_dict = {}
for k, v in original_state_dict.items():
if "pos_encoder" in k:
continue
else:
converted_state_dict[
k.replace("... | diffusers/scripts/convert_animatediff_motion_module_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_animatediff_motion_module_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 696
} | 216 |
#ifndef _qdq_6_cuh
#define _qdq_6_cuh
#include "qdq_util.cuh"
#include "../../config.h"
#if QMODE_6BIT == 1
// Not implemented
#else
__forceinline__ __device__ void shuffle_6bit_16
(
uint32_t* q,
int stride
)
{
}
__forceinline__ __device__ void dequant_6bit_16
(
const uint32_t q_0,
const uint32_... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_6.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_6.cuh",
"repo_id": "text-generation-inference",
"token_count": 572
} | 392 |
import itertools
from dataclasses import dataclass
from typing import Optional
import pandas as pd
import pyarrow as pa
import datasets
from datasets.table import table_cast
@dataclass
class PandasConfig(datasets.BuilderConfig):
"""BuilderConfig for Pandas."""
features: Optional[datasets.Features] = None
... | datasets/src/datasets/packaged_modules/pandas/pandas.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/pandas/pandas.py",
"repo_id": "datasets",
"token_count": 941
} | 145 |
<!--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/weighted_prompts.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/weighted_prompts.md",
"repo_id": "diffusers",
"token_count": 3375
} | 204 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/common/init_c.cpp/0 | {
"file_path": "milvus/internal/core/src/common/init_c.cpp",
"repo_id": "milvus",
"token_count": 1251
} | 1,656 |
<jupyter_start><jupyter_text>Gradient`Gradient` allows to fine tune and get completions on LLMs with a simple web API.This notebook goes over how to use Langchain with [Gradient](https://gradient.ai/). Imports<jupyter_code>from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from langchai... | langchain/docs/docs/integrations/llms/gradient.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/gradient.ipynb",
"repo_id": "langchain",
"token_count": 1191
} | 127 |
"""Test the run collector."""
import uuid
from langchain_core.tracers.context import collect_runs
from tests.unit_tests.fake.llm import FakeListLLM
def test_collect_runs() -> None:
llm = FakeListLLM(responses=["hello"])
with collect_runs() as cb:
llm.predict("hi")
assert cb.traced_runs
... | langchain/libs/core/tests/unit_tests/tracers/test_run_collector.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/tracers/test_run_collector.py",
"repo_id": "langchain",
"token_count": 202
} | 451 |
import type {
CheerioAPI,
CheerioOptions,
load as LoadT,
SelectorType,
} from "cheerio";
import { Document } from "@langchain/core/documents";
import {
AsyncCaller,
AsyncCallerParams,
} from "@langchain/core/utils/async_caller";
import { BaseDocumentLoader } from "../base.js";
import type { DocumentLoader }... | langchainjs/langchain/src/document_loaders/web/cheerio.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/cheerio.ts",
"repo_id": "langchainjs",
"token_count": 1453
} | 925 |
# 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/autoencoders/vae.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/vae.py",
"repo_id": "diffusers",
"token_count": 18214
} | 234 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,855 |
import sys
from functools import partial
from operator import itemgetter
from typing import (
Any,
AsyncIterator,
Awaitable,
Callable,
Dict,
Iterator,
List,
Optional,
Sequence,
Union,
cast,
)
from uuid import UUID
import pytest
from freezegun import freeze_time
from pytest_m... | langchain/libs/core/tests/unit_tests/runnables/test_runnable.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/runnables/test_runnable.py",
"repo_id": "langchain",
"token_count": 80876
} | 438 |
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generic,
List,
Optional,
Type,
TypeVar,
Union,
)
from typing_extensions import get_args
from langchain_core.messages import AnyMessage, BaseMessage
from langchain_... | langchain/libs/core/langchain_core/output_parsers/base.py/0 | {
"file_path": "langchain/libs/core/langchain_core/output_parsers/base.py",
"repo_id": "langchain",
"token_count": 4355
} | 433 |
// 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/proxy/proxy_test.go/0 | {
"file_path": "milvus/internal/proxy/proxy_test.go",
"repo_id": "milvus",
"token_count": 66716
} | 1,747 |
// 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/balance/balance_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/balance/balance_test.go",
"repo_id": "milvus",
"token_count": 2417
} | 2,026 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/swiftformer/test_modeling_swiftformer.py/0 | {
"file_path": "transformers/tests/models/swiftformer/test_modeling_swiftformer.py",
"repo_id": "transformers",
"token_count": 4796
} | 772 |
"""Test Prediction Guard API wrapper."""
from langchain_community.llms.predictionguard import PredictionGuard
def test_predictionguard_call() -> None:
"""Test valid call to prediction guard."""
llm = PredictionGuard(model="OpenAI-text-davinci-003")
output = llm("Say foo:")
assert isinstance(output, s... | langchain/libs/community/tests/integration_tests/llms/test_predictionguard.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_predictionguard.py",
"repo_id": "langchain",
"token_count": 101
} | 359 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/whisper/tokenization_whisper_fast.py/0 | {
"file_path": "transformers/src/transformers/models/whisper/tokenization_whisper_fast.py",
"repo_id": "transformers",
"token_count": 13837
} | 677 |
from anthropic_iterative_search import final_chain
if __name__ == "__main__":
query = (
"Which movie came out first: Oppenheimer, or "
"Are You There God It's Me Margaret?"
)
print( # noqa: T201
final_chain.with_config(configurable={"chain": "retrieve"}).invoke(
{"query... | langchain/templates/anthropic-iterative-search/main.py/0 | {
"file_path": "langchain/templates/anthropic-iterative-search/main.py",
"repo_id": "langchain",
"token_count": 149
} | 628 |
# 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/data2vec/convert_data2vec_text_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/data2vec/convert_data2vec_text_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 3894
} | 667 |
# Output Parsers
Output parsers are responsible for taking the output of an LLM and transforming it to a more suitable format. This is very useful when you are asking the LLM to generate any form of structured data.
Besides having a large collection of different types of output parsers, one distinguishing benefit of ... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/index.mdx",
"repo_id": "langchainjs",
"token_count": 170
} | 794 |
# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
import argparse
import os.path as osp
import re
import torch
from safetensors.torch import load_file, save_file
# ========... | diffusers/scripts/convert_diffusers_to_original_sdxl.py/0 | {
"file_path": "diffusers/scripts/convert_diffusers_to_original_sdxl.py",
"repo_id": "diffusers",
"token_count": 6297
} | 217 |
# coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lice... | transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_{{cookiecutter.lowercase_modelname}}.py/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_{{cookiecutter.lowercase_modelname}}.py",
"repo_id": "transformers",
"token_count": 5165
} | 712 |
## 8. Message Stream
// TODO remove?
#### 8.2 Message Stream Service API
```go
type Client interface {
CreateChannels(req CreateChannelRequest) (CreateChannelResponse, error)
DestroyChannels(req DestroyChannelRequest) error
DescribeChannels(req DescribeChannelRequest) (DescribeChannelResponse, error)
}
```
- _Cr... | milvus/docs/developer_guides/chap04_message_stream.md/0 | {
"file_path": "milvus/docs/developer_guides/chap04_message_stream.md",
"repo_id": "milvus",
"token_count": 3003
} | 1,771 |
import { test } from "@jest/globals";
import { PromptTemplate } from "@langchain/core/prompts";
import { ChatOpenAI } from "@langchain/openai";
import {
StructuredOutputParser,
RegexParser,
CombiningOutputParser,
} from "../index.js";
test("CombiningOutputParser", async () => {
const answerParser = Structured... | langchainjs/langchain/src/output_parsers/tests/combining.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/tests/combining.int.test.ts",
"repo_id": "langchainjs",
"token_count": 403
} | 954 |
[tool.poetry]
name = "hybrid-search-weaviate"
version = "0.1.0"
description = "Improve accuracy and relevance with Weaviate hybrid search"
authors = ["Erika Cardenas <erika@weaviate.io>"]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
tiktoken = "^0.5.1"
weavia... | langchain/templates/hybrid-search-weaviate/pyproject.toml/0 | {
"file_path": "langchain/templates/hybrid-search-weaviate/pyproject.toml",
"repo_id": "langchain",
"token_count": 349
} | 708 |
<jupyter_start><jupyter_text>Runnable PromptTemplates[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/hub-examples/runnable-prompt/edit-in-playground.ipynb)When you build a chain using LangChain [runnables](https://python.langchain.com/docs/expression_language), each component is as... | langsmith-cookbook/hub-examples/runnable-prompt/edit-in-playground.ipynb/0 | {
"file_path": "langsmith-cookbook/hub-examples/runnable-prompt/edit-in-playground.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 1548
} | 1,061 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-weather/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-weather/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,443 |
ann_accuracy:
collections:
-
server:
cache_config.cpu_cache_capacity: 16
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
gpu_resource_config.cache_capacity: 4
gpu_resource_config.search_resources:
... | milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_ann.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_ann.yaml",
"repo_id": "milvus",
"token_count": 3326
} | 2,006 |
# Copyright (C) 2019-2022 Zilliz. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | milvus/build/docker/builder/cpu/amazonlinux2023/Dockerfile/0 | {
"file_path": "milvus/build/docker/builder/cpu/amazonlinux2023/Dockerfile",
"repo_id": "milvus",
"token_count": 1002
} | 1,610 |
# LlamaIndex Embeddings Integration: Cohere
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-cohere/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-cohere/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,270 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/examples/pytorch/language-modeling/run_mlm.py/0 | {
"file_path": "transformers/examples/pytorch/language-modeling/run_mlm.py",
"repo_id": "transformers",
"token_count": 12655
} | 530 |
"use client";
import { ToastContainer, toast } from 'react-toastify';
import 'react-toastify/dist/ReactToastify.css';
import { useChat } from "ai/react";
import { useRef, useState, ReactElement } from "react";
import type { FormEvent } from "react";
import type { AgentStep } from "langchain/schema";
import { ChatMes... | langchain-nextjs-template/components/ChatWindow.tsx/0 | {
"file_path": "langchain-nextjs-template/components/ChatWindow.tsx",
"repo_id": "langchain-nextjs-template",
"token_count": 3078
} | 65 |
"""Init file."""
| llama_index/llama-index-legacy/tests/indices/query/query_transform/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/query_transform/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,553 |
package paramtable
import (
"github.com/milvus-io/milvus/pkg/config"
"github.com/milvus-io/milvus/pkg/util/funcutil"
)
type roleConfig struct {
Enabled ParamItem `refreshable:"false"`
Roles ParamItem `refreshable:"false"`
}
func (p *roleConfig) init(base *BaseTable) {
p.Enabled = ParamItem{
Key: "b... | milvus/pkg/util/paramtable/role_param.go/0 | {
"file_path": "milvus/pkg/util/paramtable/role_param.go",
"repo_id": "milvus",
"token_count": 473
} | 1,840 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/llama_index/readers/kaltura_esearch/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/llama_index/readers/kaltura_esearch/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,398 |
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