text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<jupyter_start><jupyter_text>Multi Document Agents PackThis LlamaPack provides an example of our multi-document agents.<jupyter_code>!pip install llama-index llama-hub
import nest_asyncio
nest_asyncio.apply()<jupyter_output><empty_output><jupyter_text>Setup Data<jupyter_code>from pathlib import Path
import requests
fr... | llama_index/llama-index-packs/llama-index-packs-multi-document-agents/examples/multi_document_agents.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-document-agents/examples/multi_document_agents.ipynb",
"repo_id": "llama_index",
"token_count": 1050
} | 1,710 |
.. _Ref-Evaluation:
Evaluation
====
We have modules for both LLM-based evaluation and retrieval-based evaluation.
.. automodule:: llama_index.core.evaluation
:members:
:inherited-members:
| llama_index/docs/api_reference/evaluation.rst/0 | {
"file_path": "llama_index/docs/api_reference/evaluation.rst",
"repo_id": "llama_index",
"token_count": 66
} | 1,090 |
<!--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/vit_mae.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit_mae.md",
"repo_id": "transformers",
"token_count": 1492
} | 517 |
python_sources()
python_test_utils(
name="test_utils",
)
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/indices/struct_store/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/struct_store/BUILD",
"repo_id": "llama_index",
"token_count": 42
} | 1,222 |
# coding=utf-8
# 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 requir... | transformers/tests/models/ernie/test_modeling_ernie.py/0 | {
"file_path": "transformers/tests/models/ernie/test_modeling_ernie.py",
"repo_id": "transformers",
"token_count": 10885
} | 744 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_regex_query.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_regex_query.cpp",
"repo_id": "milvus",
"token_count": 6929
} | 1,784 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/storage/AliyunSTSClient.h/0 | {
"file_path": "milvus/internal/core/src/storage/AliyunSTSClient.h",
"repo_id": "milvus",
"token_count": 982
} | 1,941 |
pub mod bert;
pub mod bigcode;
pub mod blip;
pub mod blip_text;
pub mod chatglm;
pub mod convmixer;
pub mod convnext;
pub mod dinov2;
pub mod distilbert;
pub mod efficientnet;
pub mod falcon;
pub mod jina_bert;
pub mod llama;
pub mod llama2_c;
pub mod llama2_c_weights;
pub mod mamba;
pub mod marian;
pub mod mistral;
pu... | candle/candle-transformers/src/models/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mod.rs",
"repo_id": "candle",
"token_count": 353
} | 72 |
# Quickstart
In this quickstart we'll show you how to:
- Get setup with LangChain, LangSmith and LangServe
- Use the most basic and common components of LangChain: prompt templates, models, and output parsers
- Use LangChain Expression Language, the protocol that LangChain is built on and which facilitates component c... | langchain/docs/docs/get_started/quickstart.mdx/0 | {
"file_path": "langchain/docs/docs/get_started/quickstart.mdx",
"repo_id": "langchain",
"token_count": 6270
} | 92 |
<jupyter_start><jupyter_text>Hugging Face prompt injection identificationThis notebook shows how to prevent prompt injection attacks using the text classification model from `HuggingFace`.By default, it uses a *[laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection)* mo... | langchain/docs/docs/guides/safety/hugging_face_prompt_injection.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/safety/hugging_face_prompt_injection.ipynb",
"repo_id": "langchain",
"token_count": 1054
} | 94 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-graphql/llama_index/tools/graphql/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-graphql/llama_index/tools/graphql/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,487 |
from langchain_community.tools.interaction.tool import StdInInquireTool
__all__ = ["StdInInquireTool"]
| langchain/libs/langchain/langchain/tools/interaction/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/interaction/tool.py",
"repo_id": "langchain",
"token_count": 34
} | 550 |
"""Init params."""
| llama_index/llama-index-core/tests/tools/tool_spec/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/tools/tool_spec/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,171 |
# html-to-text
When ingesting HTML documents for later retrieval, we are often interested only in the actual content of the webpage rather than semantics.
Stripping HTML tags from documents with the HtmlToTextTransformer can result in more content-rich chunks, making retrieval more effective.
## Setup
You'll need to... | langchainjs/docs/core_docs/docs/integrations/document_transformers/html-to-text.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_transformers/html-to-text.mdx",
"repo_id": "langchainjs",
"token_count": 395
} | 717 |
dependencies = ['torch']
import timm
globals().update(timm.models._registry._model_entrypoints)
| pytorch-image-models/hubconf.py/0 | {
"file_path": "pytorch-image-models/hubconf.py",
"repo_id": "pytorch-image-models",
"token_count": 32
} | 384 |
#include <torch/extension.h>
#include <ATen/ATen.h>
#include <vector>
#define min(a, b) ((a)<(b)?(a):(b))
#define max(a, b) ((a)>(b)?(a):(b))
std::vector<at::Tensor> index_max_kernel(
at::Tensor index_vals,
at::Tensor indices,
int A_num_block,
int B_num_block
);
at::Tensor mm_to_sparse_kernel(
at::Tensor d... | transformers/src/transformers/kernels/mra/cuda_launch.h/0 | {
"file_path": "transformers/src/transformers/kernels/mra/cuda_launch.h",
"repo_id": "transformers",
"token_count": 312
} | 600 |
# Vanna AI LLamaPack
Vanna AI is an open-source RAG framework for SQL generation. It works in two steps:
1. Train a RAG model on your data
2. Ask questions (use reference corpus to generate SQL queries that can run on your db).
Check out the [Github project](https://github.com/vanna-ai/vanna) and the [docs](https://... | llama_index/llama-index-packs/llama-index-packs-vanna/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vanna/README.md",
"repo_id": "llama_index",
"token_count": 508
} | 1,703 |
import {
ChatPromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { AgentExecutor, createOpenAIToolsAgent } from "langchain/agents";
import { SqlToolkit } from "langchain/agents/toolkits/sql";
import { SqlDatabase } from "lan... | langchainjs/examples/src/use_cases/sql/agents/high_cardinality_columns.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/agents/high_cardinality_columns.ts",
"repo_id": "langchainjs",
"token_count": 1206
} | 853 |
"""
Question answering over an RDF or OWL graph using SPARQL.
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs import NeptuneRdfGraph
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.base import BasePromptTempla... | langchain/libs/langchain/langchain/chains/graph_qa/neptune_sparql.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/neptune_sparql.py",
"repo_id": "langchain",
"token_count": 2627
} | 484 |
#!/usr/bin/env python3
""" Checkpoint Cleaning Script
Takes training checkpoints with GPU tensors, optimizer state, extra dict keys, etc.
and outputs a CPU tensor checkpoint with only the `state_dict` along with SHA256
calculation for model zoo compatibility.
Hacked together by / Copyright 2020 Ross Wightman (https:... | pytorch-image-models/clean_checkpoint.py/0 | {
"file_path": "pytorch-image-models/clean_checkpoint.py",
"repo_id": "pytorch-image-models",
"token_count": 1771
} | 353 |
import { AttributeInfo } from "langchain/schema/query_constructor";
import { OpenAIEmbeddings, OpenAI } from "@langchain/openai";
import { SelfQueryRetriever } from "langchain/retrievers/self_query";
import { ChromaTranslator } from "langchain/retrievers/self_query/chroma";
import { Chroma } from "@langchain/community/... | langchainjs/examples/src/retrievers/chroma_self_query.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/chroma_self_query.ts",
"repo_id": "langchainjs",
"token_count": 1363
} | 911 |
from llama_index.finetuning.cross_encoders import CrossEncoderFinetuneEngine
from llama_index.finetuning.types import BaseCrossEncoderFinetuningEngine
def test_class():
names_of_base_classes = [b.__name__ for b in CrossEncoderFinetuneEngine.__mro__]
assert BaseCrossEncoderFinetuningEngine.__name__ in names_of... | llama_index/llama-index-finetuning/tests/cross_encoders/test_cross_encoder_classes.py/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/cross_encoders/test_cross_encoder_classes.py",
"repo_id": "llama_index",
"token_count": 111
} | 1,204 |
---
sidebar_class_name: node-only
hide_table_of_contents: true
---
# Notion API
This guide will take you through the steps required to load documents from Notion pages and databases using the Notion API.
## Overview
Notion is a versatile productivity platform that consolidates note-taking, task management, and data... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/notionapi.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/notionapi.mdx",
"repo_id": "langchainjs",
"token_count": 656
} | 705 |
# 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/deformable_detr/load_custom.py/0 | {
"file_path": "transformers/src/transformers/models/deformable_detr/load_custom.py",
"repo_id": "transformers",
"token_count": 637
} | 643 |
import itertools
import re
from typing import Any, Callable, Generator, Iterable, List, Optional, Tuple
from urllib.parse import urlparse
from langchain_core.documents import Document
from langchain_community.document_loaders.web_base import WebBaseLoader
def _default_parsing_function(content: Any) -> str:
retu... | langchain/libs/community/langchain_community/document_loaders/sitemap.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/sitemap.py",
"repo_id": "langchain",
"token_count": 3671
} | 244 |
<jupyter_start><jupyter_text>GraphQL>[GraphQL](https://graphql.org/) is a query language for APIs and a runtime for executing those queries against your data. `GraphQL` provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more,... | langchain/docs/docs/integrations/tools/graphql.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/graphql.ipynb",
"repo_id": "langchain",
"token_count": 1091
} | 181 |
// 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/index_data_codec_test.go/0 | {
"file_path": "milvus/internal/storage/index_data_codec_test.go",
"repo_id": "milvus",
"token_count": 2105
} | 1,928 |
<jupyter_start><jupyter_text>Microsoft ExcelThe `UnstructuredExcelLoader` is used to load `Microsoft Excel` files. The loader works with both `.xlsx` and `.xls` files. The page content will be the raw text of the Excel file. If you use the loader in `"elements"` mode, an HTML representation of the Excel file will be av... | langchain/docs/docs/integrations/document_loaders/microsoft_excel.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/microsoft_excel.ipynb",
"repo_id": "langchain",
"token_count": 184
} | 102 |
# coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/xglm/test_tokenization_xglm.py/0 | {
"file_path": "transformers/tests/models/xglm/test_tokenization_xglm.py",
"repo_id": "transformers",
"token_count": 4199
} | 759 |
[package]
name = "candle-pyo3"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
readme = "README.md"
[lib]
name = "candle"
crate-type = ["cdylib"]
[dependencies]
accelerate-src = { ... | candle/candle-pyo3/Cargo.toml/0 | {
"file_path": "candle/candle-pyo3/Cargo.toml",
"repo_id": "candle",
"token_count": 315
} | 71 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/regnet/test_modeling_tf_regnet.py/0 | {
"file_path": "transformers/tests/models/regnet/test_modeling_tf_regnet.py",
"repo_id": "transformers",
"token_count": 4911
} | 835 |
# LlamaIndex Readers Integration: Qdrant
| llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,419 |
package meta
import (
"github.com/blang/semver/v4"
"github.com/golang/protobuf/proto"
"github.com/milvus-io/milvus/cmd/tools/migration/versions"
"github.com/milvus-io/milvus/internal/metastore/kv/datacoord"
"github.com/milvus-io/milvus/internal/metastore/kv/querycoord"
"github.com/milvus-io/milvus/internal/meta... | milvus/cmd/tools/migration/meta/meta220.go/0 | {
"file_path": "milvus/cmd/tools/migration/meta/meta220.go",
"repo_id": "milvus",
"token_count": 3503
} | 1,713 |
import random
import logging
import time
# import traceback
from multiprocessing import Process
from pymilvus import Milvus, DataType
import utils as util
import config
from milvus_benchmark.runners import utils
logger = logging.getLogger("milvus_benchmark.client")
# yaml file and code file comparison table of Index... | milvus/tests/benchmark/milvus_benchmark/client.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/client.py",
"repo_id": "milvus",
"token_count": 9662
} | 2,076 |
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
# Copyright 2021 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | transformers/tests/models/megatron_bert/test_modeling_megatron_bert.py/0 | {
"file_path": "transformers/tests/models/megatron_bert/test_modeling_megatron_bert.py",
"repo_id": "transformers",
"token_count": 7272
} | 773 |
"""Combine many documents together by recursively reducing them."""
from __future__ import annotations
from typing import Any, Callable, List, Optional, Protocol, Tuple
from langchain_core.callbacks import Callbacks
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Extra
from lang... | langchain/libs/langchain/langchain/chains/combine_documents/reduce.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/combine_documents/reduce.py",
"repo_id": "langchain",
"token_count": 5762
} | 500 |
from typing import Callable, Dict
from llama_index.tools.function_tool import FunctionTool
from task import Task
class Phone:
def __init__(self) -> None:
self.number = ""
self.entered = False
def dial_digit(self, number: str) -> None:
"""Dial a digit on the phone."""
assert ... | llama_index/benchmarks/agent/button_tasks.py/0 | {
"file_path": "llama_index/benchmarks/agent/button_tasks.py",
"repo_id": "llama_index",
"token_count": 760
} | 1,075 |
from langchain_core.outputs import LLMResult
from langchain_google_vertexai import HarmBlockThreshold, HarmCategory, VertexAI
SAFETY_SETTINGS = {
HarmCategory.HARM_CATEGORY_UNSPECIFIED: HarmBlockThreshold.BLOCK_NONE,
HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,
HarmCategory... | langchain/libs/partners/google-vertexai/tests/integration_tests/test_llms_safety.py/0 | {
"file_path": "langchain/libs/partners/google-vertexai/tests/integration_tests/test_llms_safety.py",
"repo_id": "langchain",
"token_count": 1446
} | 668 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py",
"repo_id": "diffusers",
"token_count": 18685
} | 274 |
"""Init readers schema."""
# TODO: deprecate this file, only keep for backwards compatibility
from llama_index.legacy.readers.schema.base import Document, ImageDocument
__all__ = ["Document", "ImageDocument"]
| llama_index/llama-index-legacy/llama_index/legacy/readers/schema/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/schema/__init__.py",
"repo_id": "llama_index",
"token_count": 59
} | 1,596 |
from langchain_community.tools.edenai.text_moderation import EdenAiTextModerationTool
__all__ = ["EdenAiTextModerationTool"]
| langchain/libs/langchain/langchain/tools/edenai/text_moderation.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/edenai/text_moderation.py",
"repo_id": "langchain",
"token_count": 43
} | 557 |
python_sources()
| llama_index/llama-index-finetuning/llama_index/finetuning/rerankers/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/rerankers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,174 |
from langchain_core.prompts.prompt import PromptTemplate
# There are a few different templates to choose from
# These are just different ways to generate hypothetical documents
web_search_template = """Please write a passage to answer the question
Question: {question}
Passage:"""
sci_fact_template = """Please write a... | langchain/templates/hyde/hyde/prompts.py/0 | {
"file_path": "langchain/templates/hyde/hyde/prompts.py",
"repo_id": "langchain",
"token_count": 199
} | 639 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/query_engine/flare/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/query_engine/flare/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,753 |
# for backward compatibility
from llama_index.core.postprocessor import (
AutoPrevNextNodePostprocessor,
CohereRerank,
EmbeddingRecencyPostprocessor,
FixedRecencyPostprocessor,
KeywordNodePostprocessor,
LLMRerank,
LongContextReorder,
LongLLMLinguaPostprocessor,
MetadataReplacementPos... | llama_index/llama-index-core/llama_index/core/indices/postprocessor.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/postprocessor.py",
"repo_id": "llama_index",
"token_count": 488
} | 1,219 |
import { Document, DocumentInterface } from "@langchain/core/documents";
import { chunkArray } from "@langchain/core/utils/chunk_array";
import { CheerioWebBaseLoader, WebBaseLoaderParams } from "./cheerio.js";
/**
* Interface representing the parameters for initializing a SitemapLoader.
* @interface SitemapLoaderPa... | langchainjs/langchain/src/document_loaders/web/sitemap.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/sitemap.ts",
"repo_id": "langchainjs",
"token_count": 1644
} | 900 |
""" Optimizer Factory w/ Custom Weight Decay
Hacked together by / Copyright 2021 Ross Wightman
"""
import logging
from itertools import islice
from typing import Optional, Callable, Tuple
import torch
import torch.nn as nn
import torch.optim as optim
from timm.models import group_parameters
from .adabelief import Ad... | pytorch-image-models/timm/optim/optim_factory.py/0 | {
"file_path": "pytorch-image-models/timm/optim/optim_factory.py",
"repo_id": "pytorch-image-models",
"token_count": 6927
} | 411 |
search_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/sift_1b_128_l2_sq8
cache_config.cpu_cache_capacity: 150GB
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 200
gpu_resource_config.enable: true
g... | milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_search_debug.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_search_debug.yaml",
"repo_id": "milvus",
"token_count": 405
} | 1,872 |
# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all
# coding=utf-8
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not u... | peft/src/peft/utils/peft_types.py/0 | {
"file_path": "peft/src/peft/utils/peft_types.py",
"repo_id": "peft",
"token_count": 851
} | 328 |
from pymilvus import connections
import sys
sys.path.append("..")
sys.path.append("../..")
from common.milvus_sys import MilvusSys
from utils import *
def task_1(data_size, host):
"""
task_1:
before upgrade: create collection and insert data with flush, create index, load and search
after upgr... | milvus/tests/python_client/deploy/scripts/action_before_upgrade.py/0 | {
"file_path": "milvus/tests/python_client/deploy/scripts/action_before_upgrade.py",
"repo_id": "milvus",
"token_count": 1239
} | 2,038 |
# Summarization (Seq2Seq model) training examples
The following example showcases how to finetune a sequence-to-sequence model for summarization
using the JAX/Flax backend.
JAX/Flax allows you to trace pure functions and compile them into efficient, fused accelerator code on both GPU and TPU.
Models written in JAX/Fl... | transformers/examples/flax/summarization/README.md/0 | {
"file_path": "transformers/examples/flax/summarization/README.md",
"repo_id": "transformers",
"token_count": 544
} | 568 |
# PGVector
This page covers how to use the Postgres [PGVector](https://github.com/pgvector/pgvector) ecosystem within LangChain
It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.
## Installation
- Install the Python package with `pip install pgvector`
## Setup
1.... | langchain/docs/docs/integrations/providers/pgvector.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/pgvector.mdx",
"repo_id": "langchain",
"token_count": 254
} | 155 |
import { BaseStore } from "@langchain/core/stores";
/**
* In-memory implementation of the BaseStore using a dictionary. Used for
* storing key-value pairs in memory.
* @example
* ```typescript
* const store = new InMemoryStore<BaseMessage>();
* await store.mset(
* Array.from({ length: 5 }).map((_, index) => [... | langchainjs/langchain/src/storage/in_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/storage/in_memory.ts",
"repo_id": "langchainjs",
"token_count": 794
} | 989 |
import candle
from candle import Tensor
from candle.testing import assert_equal, assert_almost_equal
import pytest
@pytest.mark.parametrize("dtype", [candle.f32, candle.f64, candle.f16, candle.u32, candle.u8, candle.i64])
def test_assert_equal_asserts_correctly(dtype: candle.DType):
a = Tensor([1, 2, 3]).to(dtype... | candle/candle-pyo3/tests/bindings/test_testing.py/0 | {
"file_path": "candle/candle-pyo3/tests/bindings/test_testing.py",
"repo_id": "candle",
"token_count": 476
} | 68 |
export { deepCompareStrict, Validator } from "./@cfworker/json-schema/index.js";
| langchainjs/langchain-core/src/utils/json_schema.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/json_schema.ts",
"repo_id": "langchainjs",
"token_count": 27
} | 887 |
"""Open Weather Map tool spec."""
from typing import Any, List
from llama_index.core.schema import Document
from llama_index.core.tools.tool_spec.base import BaseToolSpec
class OpenWeatherMapToolSpec(BaseToolSpec):
"""Open Weather tool spec."""
spec_functions = ["weather_at_location", "forecast_tommorrow_a... | llama_index/llama-index-integrations/tools/llama-index-tools-weather/llama_index/tools/weather/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-weather/llama_index/tools/weather/base.py",
"repo_id": "llama_index",
"token_count": 2014
} | 1,503 |
import torch
def main():
if torch.cuda.is_available():
num_gpus = torch.cuda.device_count()
else:
num_gpus = 0
print(f"Successfully ran on {num_gpus} GPUs")
if __name__ == "__main__":
main()
| accelerate/src/accelerate/test_utils/scripts/test_cli.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/test_cli.py",
"repo_id": "accelerate",
"token_count": 102
} | 13 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/task/action.go/0 | {
"file_path": "milvus/internal/querycoordv2/task/action.go",
"repo_id": "milvus",
"token_count": 1556
} | 1,836 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/funcutil/func_test.go/0 | {
"file_path": "milvus/pkg/util/funcutil/func_test.go",
"repo_id": "milvus",
"token_count": 6118
} | 1,909 |
"""Google PaLM embeddings file."""
from typing import Any, List, Optional
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.callbacks.base import CallbackManager
import google.generativ... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/palm.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/palm.py",
"repo_id": "llama_index",
"token_count": 1053
} | 1,181 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/speech_to_text.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/speech_to_text.md",
"repo_id": "transformers",
"token_count": 1920
} | 487 |
"""Response schema."""
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Union
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.schema import NodeWithScore
from llama_index.legacy.types import TokenGen
from llama_index.legacy.utils import truncate_t... | llama_index/llama-index-legacy/llama_index/legacy/core/response/schema.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/core/response/schema.py",
"repo_id": "llama_index",
"token_count": 1959
} | 1,646 |
import {
BaseRetriever,
type BaseRetrieverInput,
} from "@langchain/core/retrievers";
import type { CallbackManagerForRetrieverRun } from "@langchain/core/callbacks/manager";
import { Document } from "@langchain/core/documents";
/**
* interface BaseRetrieverInput {
* callbacks?: Callbacks;
* tags?: string[]... | langchainjs/examples/src/retrievers/custom.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/custom.ts",
"repo_id": "langchainjs",
"token_count": 461
} | 861 |
from langchain_community.llms.openllm import OpenLLM
__all__ = ["OpenLLM"]
| langchain/libs/langchain/langchain/llms/openllm.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/openllm.py",
"repo_id": "langchain",
"token_count": 28
} | 516 |
/* eslint-disable no-process-env */
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { Neo4jVectorStore } from "../neo4j_vector.js";
const OS_TOKEN_COUNT = 1536;
const texts = ["foo", "bar", "baz", "This is the end of the world!"];
class Fak... | langchainjs/libs/langchain-community/src/vectorstores/tests/neo4j_vector.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/neo4j_vector.int.test.ts",
"repo_id": "langchainjs",
"token_count": 5725
} | 984 |
// 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/rootcoord/root_coord_test.go/0 | {
"file_path": "milvus/internal/rootcoord/root_coord_test.go",
"repo_id": "milvus",
"token_count": 32204
} | 1,884 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,483 |
# Remembrall
This page covers how to use the [Remembrall](https://remembrall.dev) ecosystem within LangChain.
## What is Remembrall?
Remembrall gives your language model long-term memory, retrieval augmented generation, and complete observability with just a few lines of code.
![Screenshot of the Remembrall dashboa... | langchain/docs/docs/integrations/memory/remembrall.md/0 | {
"file_path": "langchain/docs/docs/integrations/memory/remembrall.md",
"repo_id": "langchain",
"token_count": 1052
} | 126 |
<jupyter_start><jupyter_text>Les pouvoirs spéciaux des *tokenizers* rapides (PyTorch) Installez les bibliothèques 🤗 *Transformers* et 🤗 *Datasets* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrain... | notebooks/course/fr/chapter6/section3_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter6/section3_pt.ipynb",
"repo_id": "notebooks",
"token_count": 1610
} | 270 |
# 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/t5/convert_t5x_checkpoint_to_flax.py/0 | {
"file_path": "transformers/src/transformers/models/t5/convert_t5x_checkpoint_to_flax.py",
"repo_id": "transformers",
"token_count": 5106
} | 728 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/syncmgr/storage_v2_serializer.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/storage_v2_serializer.go",
"repo_id": "milvus",
"token_count": 2949
} | 1,845 |
"""Test johnsnowlabs embeddings."""
from langchain_community.embeddings.johnsnowlabs import JohnSnowLabsEmbeddings
def test_johnsnowlabs_embed_document() -> None:
"""Test johnsnowlabs embeddings."""
documents = ["foo bar", "bar foo"]
embedding = JohnSnowLabsEmbeddings()
output = embedding.embed_docum... | langchain/libs/community/tests/integration_tests/embeddings/test_johnsnowlabs.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_johnsnowlabs.py",
"repo_id": "langchain",
"token_count": 227
} | 329 |
"""Test document loader integrations."""
| langchain/libs/community/tests/integration_tests/document_loaders/__init__.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/__init__.py",
"repo_id": "langchain",
"token_count": 9
} | 321 |
import { VectorStore } from "@langchain/core/vectorstores";
/**
* Represents logical AND operator.
*/
export type AND = "and";
/**
* Represents logical OR operator.
*/
export type OR = "or";
/**
* Represents logical NOT operator.
*/
export type NOT = "not";
/**
* Represents a logical operator which can be AND,... | langchainjs/langchain/src/chains/query_constructor/ir.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/query_constructor/ir.ts",
"repo_id": "langchainjs",
"token_count": 1244
} | 892 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/tests/test_quantization.py/0 | {
"file_path": "accelerate/tests/test_quantization.py",
"repo_id": "accelerate",
"token_count": 17682
} | 22 |
"""Test math utility functions."""
from typing import List
import numpy as np
import pytest
from langchain_community.utils.math import cosine_similarity, cosine_similarity_top_k
@pytest.fixture
def X() -> List[List[float]]:
return [[1.0, 2.0, 3.0], [0.0, 1.0, 0.0], [1.0, 2.0, 0.0]]
@pytest.fixture
def Y() -> ... | langchain/libs/community/tests/unit_tests/utils/test_math.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utils/test_math.py",
"repo_id": "langchain",
"token_count": 1138
} | 384 |
<jupyter_start><jupyter_text>File Based Node ParsersThe `SimpleFileNodeParser` and `FlatReader` are designed to allow opening a variety of file types and automatically selecting the best `NodeParser` to process the files. The `FlatReader` loads the file in a raw text format and attaches the file information to the meta... | llama_index/docs/examples/node_postprocessor/FileNodeProcessors.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/FileNodeProcessors.ipynb",
"repo_id": "llama_index",
"token_count": 2787
} | 1,075 |
import { z } from "zod";
import { zodToJsonSchema, JsonSchema7ObjectType } from "zod-to-json-schema";
import { BaseChatModel } from "@langchain/core/language_models/chat_models";
import { BaseFunctionCallOptions } from "@langchain/core/language_models/base";
import { PromptTemplate } from "@langchain/core/prompts";
imp... | langchainjs/langchain/src/chains/openai_functions/tagging.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/openai_functions/tagging.ts",
"repo_id": "langchainjs",
"token_count": 988
} | 892 |
label: 'How-to'
position: 3
| langchainjs/docs/core_docs/docs/modules/agents/how_to/_category_.yml/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/how_to/_category_.yml",
"repo_id": "langchainjs",
"token_count": 12
} | 800 |
# Violation of Expectations Chain
This page demonstrates how to use the `ViolationOfExpectationsChain`. This chain extracts insights from chat conversations
by comparing the differences between an LLM's prediction of the next message in a conversation and the user's mental state against the actual next message,
and is... | langchainjs/docs/core_docs/docs/use_cases/agent_simulations/violation_of_expectations_chain.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/agent_simulations/violation_of_expectations_chain.mdx",
"repo_id": "langchainjs",
"token_count": 949
} | 741 |
from llama_index.tools.cogniswitch.base import CogniswitchToolSpec
__all__ = [
"CogniswitchToolSpec",
]
| llama_index/llama-index-integrations/tools/llama-index-tools-cogniswitch/llama_index/tools/cogniswitch/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-cogniswitch/llama_index/tools/cogniswitch/__init__.py",
"repo_id": "llama_index",
"token_count": 42
} | 1,564 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [],
"seed": null,
"tokens": [
{
"id": 187,
"logprob": -0.37890625,
"special": false,
"text": "\n"
},
{
"id": 187,
"logprob":... | text-generation-inference/integration-tests/models/__snapshots__/test_mamba/test_mamba.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_mamba/test_mamba.json",
"repo_id": "text-generation-inference",
"token_count": 860
} | 427 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,285 |
// 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/rootcoord/drop_partition_task.go/0 | {
"file_path": "milvus/internal/rootcoord/drop_partition_task.go",
"repo_id": "milvus",
"token_count": 1469
} | 1,852 |
import { OpenAI } from "@langchain/openai";
import {
CacheClient,
Configurations,
CredentialProvider,
} from "@gomomento/sdk";
import { MomentoCache } from "@langchain/community/caches/momento";
// See https://github.com/momentohq/client-sdk-javascript for connection options
const client = new CacheClient({
co... | langchainjs/examples/src/cache/momento.ts/0 | {
"file_path": "langchainjs/examples/src/cache/momento.ts",
"repo_id": "langchainjs",
"token_count": 201
} | 842 |
python_sources()
| llama_index/llama-index-core/llama_index/core/utilities/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/utilities/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,254 |
# 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/dpt/convert_dpt_beit_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/dpt/convert_dpt_beit_to_hf.py",
"repo_id": "transformers",
"token_count": 5894
} | 627 |
# flake8: noqa
from langchain_core.prompts import PromptTemplate
template = """You are a teacher grading a quiz.
You are given a question, the student's answer, and the true answer, and are asked to score the student answer as either CORRECT or INCORRECT.
Example Format:
QUESTION: question here
STUDENT ANSWER: studen... | langchain/libs/langchain/langchain/evaluation/qa/eval_prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/qa/eval_prompt.py",
"repo_id": "langchain",
"token_count": 983
} | 504 |
use crate::tokenizer::{NormalizedString, Normalizer, Result};
pub use spm_precompiled::Precompiled;
use std::cmp::Ordering;
use unicode_segmentation::UnicodeSegmentation;
fn replace(transformations: &mut Vec<(char, isize)>, old_part: &str, new_part: &str) {
let old_count = old_part.chars().count() as isize;
le... | tokenizers/tokenizers/src/normalizers/precompiled.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/precompiled.rs",
"repo_id": "tokenizers",
"token_count": 1432
} | 420 |
[package]
name = "candle-transformers"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
readme = "README.md"
[dependencies]
accelerate-src = { workspace = true, optional = true }
byt... | candle/candle-transformers/Cargo.toml/0 | {
"file_path": "candle/candle-transformers/Cargo.toml",
"repo_id": "candle",
"token_count": 360
} | 76 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/feature_extraction_sequence_utils.py/0 | {
"file_path": "transformers/src/transformers/feature_extraction_sequence_utils.py",
"repo_id": "transformers",
"token_count": 7735
} | 560 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-hwp/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hwp/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,366 |
import { test, expect, jest } from "@jest/globals";
import { LLM } from "@langchain/core/language_models/llms";
import { PromptTemplate } from "@langchain/core/prompts";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { ChainTool } from "../chain.js";
import { LLMChain } from "../../chains/llm_c... | langchainjs/langchain/src/tools/tests/chain.test.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/tests/chain.test.ts",
"repo_id": "langchainjs",
"token_count": 1473
} | 957 |
/* eslint-disable */
/**
* Generated utilities for implementing server-side Convex query and mutation functions.
*
* THIS CODE IS AUTOMATICALLY GENERATED.
*
* Generated by convex@1.3.1.
* To regenerate, run `npx convex dev`.
* @module
*/
import {
ActionBuilder,
HttpActionBuilder,
MutationBuilder,
Query... | langchainjs/libs/langchain-community/src/vectorstores/tests/convex/convex/_generated/server.d.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/convex/convex/_generated/server.d.ts",
"repo_id": "langchainjs",
"token_count": 1486
} | 1,086 |
# CSV
> A [comma-separated values (CSV)](https://en.wikipedia.org/wiki/Comma-separated_values) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.
Load CSV data with a single row per document.
## ... | langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/csv.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/csv.mdx",
"repo_id": "langchainjs",
"token_count": 656
} | 807 |
apiVersion: v1
kind: Service
metadata:
name: coordinator-lb
namespace: chroma
spec:
ports:
- name: grpc
port: 50051
targetPort: 50051
selector:
app: coordinator
type: LoadBalancer
| chroma/k8s/test/coordinator_service.yaml/0 | {
"file_path": "chroma/k8s/test/coordinator_service.yaml",
"repo_id": "chroma",
"token_count": 81
} | 59 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,301 |
cff-version: 1.2.0
title: 'TRL: Transformer Reinforcement Learning'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Leandro
family-names: von Werra
- given-names: Younes
family-names: Belkada
- given-names: Lewis
family... | trl/CITATION.cff/0 | {
"file_path": "trl/CITATION.cff",
"repo_id": "trl",
"token_count": 313
} | 860 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/program/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/program/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,272 |
Source: milvus
Section: devel
Priority: optional
Maintainer: Yunmei Li <yunmei.li@zilliz.com>
Build-Depends: debhelper (>= 10), gcc (>= 7.5), g++ (>= 7.5)
Standards-Version: 4.1.2
Homepage: https://github.com/milvus-io/milvus
Package: milvus
Architecture: any-amd64
Depends: ${shlibs:Depends}, ${misc:Depends}
Descript... | milvus/build/deb/debian/control/0 | {
"file_path": "milvus/build/deb/debian/control",
"repo_id": "milvus",
"token_count": 186
} | 1,622 |
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