text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import inspect
import re
from typing import Dict, List, Tuple
from huggingface_hub.utils import insecure_hashlib
from .arrow import arrow
from .audiofolder import audiofolder
from .cache import cache # noqa F401
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pand... | datasets/src/datasets/packaged_modules/__init__.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/__init__.py",
"repo_id": "datasets",
"token_count": 1108
} | 145 |
<!--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/vision-text-dual-encoder.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vision-text-dual-encoder.md",
"repo_id": "transformers",
"token_count": 652
} | 473 |
<jupyter_start><jupyter_text>GMailThis loader goes over how to load data from GMail. There are many ways you could want to load data from GMail. This loader is currently fairly opinionated in how to do so. The way it does it is it first looks for all messages that you have sent. It then looks for messages where you are... | langchain/docs/docs/integrations/chat_loaders/gmail.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/chat_loaders/gmail.ipynb",
"repo_id": "langchain",
"token_count": 831
} | 91 |
"""Default prompt for ReAct agent."""
# ReAct multimodal chat prompt
# TODO: have formatting instructions be a part of react output parser
REACT_MM_CHAT_SYSTEM_HEADER = """\
You are designed to help with a variety of tasks, from answering questions \
to providing summaries to other types of analyses. You can ta... | llama_index/llama-index-legacy/llama_index/legacy/agent/react_multimodal/prompts.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/react_multimodal/prompts.py",
"repo_id": "llama_index",
"token_count": 741
} | 1,546 |
<jupyter_start><jupyter_text>Tavily Search [Tavily's Search API](https://tavily.com) is a search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed. SetupThe integration lives in the `langchain-community` package. We also need to install the `tavily-python` pack... | langchain/docs/docs/integrations/tools/tavily_search.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/tavily_search.ipynb",
"repo_id": "langchain",
"token_count": 1033
} | 187 |
<jupyter_start><jupyter_text>Couchbase[Couchbase](http://couchbase.com/) is an award-winning distributed NoSQL cloud database that delivers unmatched versatility, performance, scalability, and financial value for all of your cloud, mobile, AI, and edge computing applications. Installation<jupyter_code>%pip install --u... | langchain/docs/docs/integrations/document_loaders/couchbase.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/couchbase.ipynb",
"repo_id": "langchain",
"token_count": 1335
} | 99 |
use async_trait::async_trait;
use bytes::Bytes;
use futures::{StreamExt, TryStreamExt};
use prost::Message;
use std::{
collections::{HashMap, HashSet},
fmt::Debug,
sync::{Arc, RwLock},
};
use crate::{
assignment::{
self,
assignment_policy::{self, AssignmentPolicy},
},
chroma_pro... | chroma/rust/worker/src/ingest/ingest.rs/0 | {
"file_path": "chroma/rust/worker/src/ingest/ingest.rs",
"repo_id": "chroma",
"token_count": 7173
} | 57 |
#include "q_gemm.cuh"
#include "util.cuh"
#include "matrix_view.cuh"
#include "../config.h"
#include "quant/qdq_2.cuh"
#include "quant/qdq_3.cuh"
#include "quant/qdq_4.cuh"
#include "quant/qdq_5.cuh"
#include "quant/qdq_6.cuh"
#include "quant/qdq_8.cuh"
#define GPTQ_BLOCK_KN_SIZE 128
#define GPTQ_BLOCK_M_SIZE_MAX 8
#... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cu/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cu",
"repo_id": "text-generation-inference",
"token_count": 3563
} | 398 |
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
__all__ = ["Node", "Relationship", "GraphDocument"]
| langchain/libs/langchain/langchain/graphs/graph_document.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/graph_document.py",
"repo_id": "langchain",
"token_count": 37
} | 554 |
import base64
import json
import os
from pathlib import Path
from typing import Any
from unittest import mock
import pytest
from langchain_community.tools.nuclia.tool import NucliaUnderstandingAPI
README_PATH = Path(__file__).parents[4] / "README.md"
class FakeUploadResponse:
status_code = 200
text = "fake... | langchain/libs/community/tests/integration_tests/tools/nuclia/test_nuclia.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/tools/nuclia/test_nuclia.py",
"repo_id": "langchain",
"token_count": 1644
} | 380 |
# 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/regnet/convert_regnet_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/regnet/convert_regnet_to_pytorch.py",
"repo_id": "transformers",
"token_count": 8486
} | 661 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-amazon-product-extraction/llama_index/packs/amazon_product_extraction/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-amazon-product-extraction/llama_index/packs/amazon_product_extraction/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,553 |
// 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_disk_file_manager_test.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_disk_file_manager_test.cpp",
"repo_id": "milvus",
"token_count": 6440
} | 1,766 |
# 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-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_zero_shot.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_zero_shot.py",
"repo_id": "transformers",
"token_count": 6335
} | 751 |
apiVersion: milvus.io/v1beta1
kind: Milvus
metadata:
name: my-release
namespace: chaos-testing
labels:
app: milvus
spec:
config:
log:
level: debug
common:
simdType: avx
components: {}
dependencies:
etcd:
inCluster:
deletionPolicy: Delete
pvcDeletion: true
... | milvus/tests/python_client/customize/template/default.yaml/0 | {
"file_path": "milvus/tests/python_client/customize/template/default.yaml",
"repo_id": "milvus",
"token_count": 296
} | 1,897 |
## For JS backend:
# LANGCHAIN_TRACING_V2=true
# LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
# LANGCHAIN_API_KEY="YOUR_LANGSMITH_KEY"
# LANGCHAIN_PROJECT="YOUR_PROJECT_NAME"
# NEXT_PUBLIC_API_BASE_URL="http://localhost:3000/api"
# OPENAI_API_KEY="YOUR_OPENAI_API_KEY"
# WEAVIATE_HOST="YOUR_WEAVIATE_HOST"
# WE... | chat-langchain/chat-langchain/.env.example/0 | {
"file_path": "chat-langchain/chat-langchain/.env.example",
"repo_id": "chat-langchain",
"token_count": 195
} | 7 |
// 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/index/Index.h/0 | {
"file_path": "milvus/internal/core/src/index/Index.h",
"repo_id": "milvus",
"token_count": 1144
} | 1,645 |
import random
import uuid
from random import randint
from typing import cast, List, Any, Dict
import pytest
import hypothesis.strategies as st
from hypothesis import given, settings
from chromadb.api import ServerAPI
from chromadb.api.types import Embeddings, Metadatas
import chromadb.test.property.strategies as strate... | chroma/chromadb/test/property/test_add.py/0 | {
"file_path": "chroma/chromadb/test/property/test_add.py",
"repo_id": "chroma",
"token_count": 2456
} | 22 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-fusion-retriever/llama_index/packs/fusion_retriever/hybrid_fusion/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/llama_index/packs/fusion_retriever/hybrid_fusion/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,566 |
""" LeViT
Paper: `LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference`
- https://arxiv.org/abs/2104.01136
@article{graham2021levit,
title={LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference},
author={Benjamin Graham and Alaaeldin El-Nouby and Hugo Touvron and Pierre Stoc... | pytorch-image-models/timm/models/levit.py/0 | {
"file_path": "pytorch-image-models/timm/models/levit.py",
"repo_id": "pytorch-image-models",
"token_count": 15973
} | 379 |
/* eslint-disable import/first */
/* eslint-disable import/no-duplicates */
import { BufferMemory } from "langchain/memory";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
const memory = new BufferMemory();
await memory.chatHistory.addMessage(new HumanMessage("Hi!"));
await memory.chatHistory.add... | langchainjs/examples/src/memory/getting_started.ts/0 | {
"file_path": "langchainjs/examples/src/memory/getting_started.ts",
"repo_id": "langchainjs",
"token_count": 799
} | 839 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,389 |
python_sources()
| llama_index/llama-index-core/llama_index/core/query_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,208 |
<jupyter_start><jupyter_text>BiliBili>[Bilibili](https://www.bilibili.tv/) is one of the most beloved long-form video sites in China.This loader utilizes the [bilibili-api](https://github.com/MoyuScript/bilibili-api) to fetch the text transcript from `Bilibili`.With this BiliBiliLoader, users can easily obtain the tran... | langchain/docs/docs/integrations/document_loaders/bilibili.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/bilibili.ipynb",
"repo_id": "langchain",
"token_count": 202
} | 104 |
import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
import { ChatOpenAI } from "@langchain/openai";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
import { pull } from "langchain/hub";
import { AgentExec... | langchainjs/examples/src/agents/openai_tools.ts/0 | {
"file_path": "langchainjs/examples/src/agents/openai_tools.ts",
"repo_id": "langchainjs",
"token_count": 421
} | 755 |
{
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": "auto",
"weight_decay": "auto"... | accelerate/examples/deepspeed_config_templates/zero_stage1_config.json/0 | {
"file_path": "accelerate/examples/deepspeed_config_templates/zero_stage1_config.json",
"repo_id": "accelerate",
"token_count": 614
} | 6 |
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | transformers/examples/research_projects/self-training-text-classification/run.sh/0 | {
"file_path": "transformers/examples/research_projects/self-training-text-classification/run.sh",
"repo_id": "transformers",
"token_count": 961
} | 573 |
from langchain_community.vectorstores.clickhouse import (
Clickhouse,
ClickhouseSettings,
)
__all__ = ["ClickhouseSettings", "Clickhouse"]
| langchain/libs/langchain/langchain/vectorstores/clickhouse.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/clickhouse.py",
"repo_id": "langchain",
"token_count": 46
} | 571 |
---
sidebar_position: 4
---
# Tools
Tools are interfaces that an agent can use to interact with the world.
They combine a few things:
1. The name of the tool
2. A description of what the tool is
3. Schema of what the inputs to the tool are
4. The function to call
5. Whether the result of a tool should be returned di... | langchainjs/docs/core_docs/docs/modules/agents/tools/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/tools/index.mdx",
"repo_id": "langchainjs",
"token_count": 527
} | 750 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/exec/expression/UnaryExpr.h/0 | {
"file_path": "milvus/internal/core/src/exec/expression/UnaryExpr.h",
"repo_id": "milvus",
"token_count": 5851
} | 1,736 |
from typing import Dict, Tuple
import pytest as pytest
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
)
from langchain.retrievers.self_query.pgvector import PGVectorTranslator
DEFAULT_TRANSLATOR = PGVectorTranslator()
def test_v... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_pgvector.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_pgvector.py",
"repo_id": "langchain",
"token_count": 1115
} | 667 |
from langchain_core.documents.base import Document
from langchain_core.documents.transformers import BaseDocumentTransformer
__all__ = ["Document", "BaseDocumentTransformer"]
| langchain/libs/core/langchain_core/documents/__init__.py/0 | {
"file_path": "langchain/libs/core/langchain_core/documents/__init__.py",
"repo_id": "langchain",
"token_count": 45
} | 414 |
# flake8: noqa
from langchain_core.prompts.prompt import PromptTemplate
EXAMPLES = [
"""Question: What is the elevation range for the area that the eastern sector of the Colorado orogeny extends into?
Thought: I need to search Colorado orogeny, find the area that the eastern sector of the Colorado orogeny extends ... | langchain/libs/langchain/langchain/agents/react/wiki_prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/react/wiki_prompt.py",
"repo_id": "langchain",
"token_count": 1585
} | 448 |
// 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/typeutil/convension.go/0 | {
"file_path": "milvus/pkg/util/typeutil/convension.go",
"repo_id": "milvus",
"token_count": 1200
} | 1,980 |
package common
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestCloneStringList(t *testing.T) {
type args struct {
l StringList
}
tests := []struct {
name string
args args
}{
{
args: args{
l: nil,
},
},
{
args: args{
l: []string{"s1", "s2"},
},
},
{
args... | milvus/pkg/common/string_list_test.go/0 | {
"file_path": "milvus/pkg/common/string_list_test.go",
"repo_id": "milvus",
"token_count": 271
} | 1,889 |
# Context
>[Context](https://context.ai/) provides user analytics for LLM-powered products and features.
## Installation and Setup
We need to install the `context-python` Python package:
```bash
pip install context-python
```
## Callbacks
See a [usage example](/docs/integrations/callbacks/context).
```python
f... | langchain/docs/docs/integrations/providers/context.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/context.mdx",
"repo_id": "langchain",
"token_count": 106
} | 137 |
from llama_index.agent.openai_legacy import (
BaseOpenAIAgent,
ContextRetrieverOpenAIAgent,
FnRetrieverOpenAIAgent,
OpenAIAgent,
)
from llama_index.core.agent.types import BaseAgent
def test_classes():
names_of_base_classes = [b.__name__ for b in OpenAIAgent.__mro__]
assert BaseAgent.__name__ ... | llama_index/llama-index-integrations/agent/llama-index-agent-openai-legacy/tests/test_agent_openai-legacy.py/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai-legacy/tests/test_agent_openai-legacy.py",
"repo_id": "llama_index",
"token_count": 249
} | 1,288 |
import { ChatBaiduWenxin } from "@langchain/community/chat_models/baiduwenxin";
import { HumanMessage } from "@langchain/core/messages";
// Default model is ERNIE-Bot-turbo
const ernieTurbo = new ChatBaiduWenxin({
baiduApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.BAIDU_API_KEY
baiduSecretKey: "YOU... | langchainjs/examples/src/models/chat/integration_baiduwenxin.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_baiduwenxin.ts",
"repo_id": "langchainjs",
"token_count": 422
} | 865 |
import { Document } from "@langchain/core/documents";
import { SerpAPILoader } from "../web/serpapi.js";
test("Test buildUrl method", () => {
const loader = new SerpAPILoader({ q: "testQuery", apiKey: "testApiKey" });
expect(loader.buildUrl()).toBe(
"https://serpapi.com/search?api_key=testApiKey&q=testQuery"
... | langchainjs/langchain/src/document_loaders/tests/serpapi.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/serpapi.test.ts",
"repo_id": "langchainjs",
"token_count": 317
} | 896 |
<jupyter_start><jupyter_text>Parallel tool useIn the [Chains with multiple tools](/docs/use_cases/tool_use/multiple_tools) guide we saw how to build function-calling chains that select between multiple tools. Some models, like the OpenAI models released in Fall 2023, also support parallel function calling, which allows... | langchain/docs/docs/use_cases/tool_use/parallel.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/tool_use/parallel.ipynb",
"repo_id": "langchain",
"token_count": 875
} | 204 |
[tool.poetry]
name = "__package_name__"
version = "0.0.1"
description = ""
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain-core = ">=0.1.5"
langchain-openai = ">=0.0.1"
[tool.poetry.group.dev.dependencies]
langchain-cli = ">=0.0.4"
fastapi = "^0.104.0"
sse-starlette = "... | langchain/libs/cli/langchain_cli/package_template/pyproject.toml/0 | {
"file_path": "langchain/libs/cli/langchain_cli/package_template/pyproject.toml",
"repo_id": "langchain",
"token_count": 223
} | 205 |
use axum::http::HeaderValue;
use clap::Parser;
use hf_hub::api::tokio::{Api, ApiBuilder, ApiRepo};
use hf_hub::{Repo, RepoType};
use opentelemetry::sdk::propagation::TraceContextPropagator;
use opentelemetry::sdk::trace;
use opentelemetry::sdk::trace::Sampler;
use opentelemetry::sdk::Resource;
use opentelemetry::{globa... | text-generation-inference/router/src/main.rs/0 | {
"file_path": "text-generation-inference/router/src/main.rs",
"repo_id": "text-generation-inference",
"token_count": 8194
} | 434 |
"""Pytorch Densenet implementation w/ tweaks
This file is a copy of https://github.com/pytorch/vision 'densenet.py' (BSD-3-Clause) with
fixed kwargs passthrough and addition of dynamic global avg/max pool.
"""
import re
from collections import OrderedDict
import torch
import torch.nn as nn
import torch.nn.functional a... | pytorch-image-models/timm/models/densenet.py/0 | {
"file_path": "pytorch-image-models/timm/models/densenet.py",
"repo_id": "pytorch-image-models",
"token_count": 7537
} | 396 |
<jupyter_start><jupyter_text>Downloading a LlamaDataset from LlamaHubYou can browse our available benchmark datasets via [llamahub.ai](https://llamahub.ai/). This notebook guide depicts how you can download the dataset and its source text documents. In particular, the `download_llama_dataset` will download the evaluati... | llama_index/docs/examples/llama_dataset/downloading_llama_datasets.ipynb/0 | {
"file_path": "llama_index/docs/examples/llama_dataset/downloading_llama_datasets.ipynb",
"repo_id": "llama_index",
"token_count": 2664
} | 1,085 |
// 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/stats_test.go/0 | {
"file_path": "milvus/internal/storage/stats_test.go",
"repo_id": "milvus",
"token_count": 1931
} | 1,892 |
{
"index_store/data": {
"9e1a0871-73d0-4a93-8068-f29dc3c0ded2": {
"__type__": "list",
"__data__": "{\"index_id\": \"9e1a0871-73d0-4a93-8068-f29dc3c0ded2\", \"summary\": null, \"nodes\": [\"093ded74-80cd-4854-bf93-a2a260b9dbef\", \"1cf62305-7a24-4141-b388-c4d4fd2c0db7\", \"8936f2d4-9f78-4258-9b59-f1ad7... | llama_index/llama-index-legacy/storage/index_store.json/0 | {
"file_path": "llama_index/llama-index-legacy/storage/index_store.json",
"repo_id": "llama_index",
"token_count": 205
} | 1,727 |
"""GitLab Toolkit."""
| langchain/libs/community/langchain_community/agent_toolkits/gitlab/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/gitlab/__init__.py",
"repo_id": "langchain",
"token_count": 9
} | 205 |
// 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/tests/integration/coordrecovery/coord_recovery_test.go/0 | {
"file_path": "milvus/tests/integration/coordrecovery/coord_recovery_test.go",
"repo_id": "milvus",
"token_count": 3729
} | 2,013 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/mq/msgstream/mqwrapper/nmq/nmq_consumer.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/nmq/nmq_consumer.go",
"repo_id": "milvus",
"token_count": 1998
} | 2,040 |
import random
from pymilvus import Milvus, DataType
dim = 128
name = "sift_1m_128_l2"
def generate_values(data_type, vectors, ids):
values = None
if data_type in [DataType.INT32, DataType.INT64]:
values = ids
elif data_type in [DataType.FLOAT, DataType.DOUBLE]:
values = [(i + 0.0) for i in... | milvus/tests/benchmark/milvus_benchmark/test.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/test.py",
"repo_id": "milvus",
"token_count": 442
} | 1,956 |
kind: Schedule
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-pulsar-pod-kill
namespace: chaos-testing
spec:
schedule: '*/5 * * * * *'
startingDeadlineSeconds: 60
concurrencyPolicy: Forbid
historyLimit: 1
type: PodChaos
podChaos:
selector:
namespaces:
- chaos-testing
la... | milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_pulsar_pod_kill.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_pulsar_pod_kill.yaml",
"repo_id": "milvus",
"token_count": 193
} | 2,171 |
- name: rootcoord
docker_container:
name: rootcoord
image: "{{image}}"
command: ["milvus", "run", "rootcoord"]
env:
ETCD_ENDPOINTS: "{{ETCD_ENDPOINTS}}"
MINIO_ADDRESS: "{{MINIO_ADDRESS}}"
PULSAR_ADDRESS: "{{PULSAR_ADDRESS}}"
QUERY_COORD_ADDRESS: "{{QUERY_COORD_ADDRESS}}"
... | milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-rootcoord/tasks/main.yml/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-rootcoord/tasks/main.yml",
"repo_id": "milvus",
"token_count": 205
} | 1,709 |
"""Implements Program-Aided Language Models.
This module implements the Program-Aided Language Models (PAL) for generating code
solutions. PAL is a technique described in the paper "Program-Aided Language Models"
(https://arxiv.org/pdf/2211.10435.pdf).
"""
from __future__ import annotations
import ast
from typing im... | langchain/libs/experimental/langchain_experimental/pal_chain/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/pal_chain/base.py",
"repo_id": "langchain",
"token_count": 6043
} | 421 |
# Metric Card for MSE
## Metric Description
Mean Squared Error(MSE) represents the average of the squares of errors -- i.e. the average squared difference between the estimated values and the actual values.
![image](https://user-images.githubusercontent.com/14205986/165999302-eba3702d-81e3-4363-9c0e-d3bfceb7ec5a.pn... | datasets/metrics/mse/README.md/0 | {
"file_path": "datasets/metrics/mse/README.md",
"repo_id": "datasets",
"token_count": 1554
} | 120 |
"""Mock utils for query transform."""
from llama_index.legacy.indices.query.query_transform.prompts import (
DecomposeQueryTransformPrompt,
)
from llama_index.legacy.prompts.prompt_type import PromptType
MOCK_DECOMPOSE_TMPL = "{context_str}\n{query_str}"
MOCK_DECOMPOSE_PROMPT = DecomposeQueryTransformPrompt(
... | llama_index/llama-index-legacy/tests/indices/query/query_transform/mock_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/query_transform/mock_utils.py",
"repo_id": "llama_index",
"token_count": 141
} | 1,531 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.panel_chatbot import PanelChatPack
def test_class():
names_of_base_classes = [b.__name__ for b in PanelChatPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-panel-chatbot/tests/test_packs_panel_chatbot.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-panel-chatbot/tests/test_packs_panel_chatbot.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,672 |
{
"modelname": "TemplateTF",
"uppercase_modelname": "TEMPLATE_TF",
"lowercase_modelname": "template_tf",
"camelcase_modelname": "TemplateTf",
"authors": "The HuggingFace Team",
"checkpoint_identifier": "brand-new-bert-base-cased",
"tokenizer_type": "Based on BERT",
"generate_tensorflow_pytorch_and_flax"... | transformers/templates/adding_a_new_model/tests/tf-encoder-bert-tokenizer.json/0 | {
"file_path": "transformers/templates/adding_a_new_model/tests/tf-encoder-bert-tokenizer.json",
"repo_id": "transformers",
"token_count": 148
} | 791 |
import os
import re
from typing import Iterator, List
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class EtherscanLoader(BaseLoader):
"""Load transactions from `Ethereum` mainnet.
The Loader use Etherscan API to interact with... | langchain/libs/community/langchain_community/document_loaders/etherscan.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/etherscan.py",
"repo_id": "langchain",
"token_count": 3560
} | 235 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-gong/llama_index/readers/airbyte_gong/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-gong/llama_index/readers/airbyte_gong/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,308 |
<jupyter_start><jupyter_text>PromptLayer>[PromptLayer](https://docs.promptlayer.com/introduction) is a platform for prompt engineering. It also helps with the LLM observability to visualize requests, version prompts, and track usage.>>While `PromptLayer` does have LLMs that integrate directly with LangChain (e.g. [`Pro... | langchain/docs/docs/integrations/callbacks/promptlayer.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/callbacks/promptlayer.ipynb",
"repo_id": "langchain",
"token_count": 1323
} | 98 |
export const PREFIX = `You are a helpful AI assistant.`;
export const SUFFIX = ``;
| langchainjs/langchain/src/agents/openai_functions/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/openai_functions/prompt.ts",
"repo_id": "langchainjs",
"token_count": 25
} | 840 |
import json
import re
import warnings
from typing import List, Tuple
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class BiliBiliLoader(BaseLoader):
"""Load `BiliBili` video transcripts."""
def __init__(self, video_urls: List[... | langchain/libs/community/langchain_community/document_loaders/bilibili.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/bilibili.py",
"repo_id": "langchain",
"token_count": 1364
} | 231 |
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
import { GenerationChunk } from "@langchain/core/outputs";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
/**
* Interface defining the para... | langchainjs/libs/langchain-community/src/llms/hf.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/hf.ts",
"repo_id": "langchainjs",
"token_count": 2018
} | 985 |
import unittest
import pytest
from langchain_community.document_loaders.parsers.language.java import JavaSegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestJavaSegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """class Hello
{
public static voi... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_java.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_java.py",
"repo_id": "langchain",
"token_count": 672
} | 386 |
<!---
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 ... | transformers/examples/tensorflow/translation/README.md/0 | {
"file_path": "transformers/examples/tensorflow/translation/README.md",
"repo_id": "transformers",
"token_count": 903
} | 599 |
import { BaseRetriever, BaseRetrieverInput } from "@langchain/core/retrievers";
import type { VectorStoreInterface } from "@langchain/core/vectorstores";
import type { DocumentInterface } from "@langchain/core/documents";
import { CallbackManagerForRetrieverRun } from "@langchain/core/callbacks/manager";
/**
* Interf... | langchainjs/langchain/src/retrievers/time_weighted.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/time_weighted.ts",
"repo_id": "langchainjs",
"token_count": 3208
} | 1,013 |
import tempfile
import unittest
from make_student import create_student_by_copying_alternating_layers
from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch
TINY_BART = "sshleifer/bart-tiny-random"
TINY_T5 = "patrickvonplaten/t5-t... | transformers/examples/research_projects/seq2seq-distillation/_test_make_student.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/_test_make_student.py",
"repo_id": "transformers",
"token_count": 660
} | 543 |
import os
from pathlib import Path
from langchain_community.document_loaders import UnstructuredRSTLoader
EXAMPLE_DIRECTORY = file_path = Path(__file__).parent.parent / "examples"
def test_unstructured_rst_loader() -> None:
"""Test unstructured loader."""
file_path = os.path.join(EXAMPLE_DIRECTORY, "README.... | langchain/libs/community/tests/integration_tests/document_loaders/test_rst.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_rst.py",
"repo_id": "langchain",
"token_count": 154
} | 331 |
// 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/rate_collector_test.go/0 | {
"file_path": "milvus/internal/datanode/rate_collector_test.go",
"repo_id": "milvus",
"token_count": 466
} | 1,924 |
# Deployment
In today's fast-paced technological landscape, the use of Large Language Models (LLMs) is rapidly expanding. As a result, it is crucial for developers to understand how to effectively deploy these models in production environments. LLM interfaces typically fall into two categories:
- **Case 1: Utilizing ... | langchain/docs/docs/guides/deployments/index.mdx/0 | {
"file_path": "langchain/docs/docs/guides/deployments/index.mdx",
"repo_id": "langchain",
"token_count": 2223
} | 92 |
package common
import "reflect"
type Str2Str map[string]string
func (m Str2Str) Clone() Str2Str {
if m == nil {
return nil
}
clone := make(Str2Str)
for key, value := range m {
clone[key] = value
}
return clone
}
func (m Str2Str) Equal(other Str2Str) bool {
return reflect.DeepEqual(m, other)
}
func Clone... | milvus/pkg/common/map.go/0 | {
"file_path": "milvus/pkg/common/map.go",
"repo_id": "milvus",
"token_count": 148
} | 2,029 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/llama_index/packs/ollama_query_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/llama_index/packs/ollama_query_engine/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,685 |
import { zodToJsonSchema, JsonSchema7ObjectType } from "zod-to-json-schema";
import { ObjectTool, FINISH_NAME } from "./schema.js";
/**
* Class that generates prompts for generative agents. It maintains a list
* of constraints, commands, resources, and performance evaluations.
*/
export class PromptGenerator {
c... | langchainjs/langchain/src/experimental/autogpt/prompt_generator.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/autogpt/prompt_generator.ts",
"repo_id": "langchainjs",
"token_count": 1955
} | 934 |
<jupyter_start><jupyter_text>OpenAPIWe can construct agents to consume arbitrary APIs, here APIs conformant to the `OpenAPI`/`Swagger` specification. 1st example: hierarchical planning agentIn this example, we'll consider an approach called hierarchical planning, common in robotics and appearing in recent works for LL... | langchain/docs/docs/integrations/toolkits/openapi.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/openapi.ipynb",
"repo_id": "langchain",
"token_count": 3072
} | 169 |
/**
* Copyright (c) Meta Platforms, Inc. and affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*
* @format
*/
module.exports = {
presets: [require.resolve("@docusaurus/core/lib/babel/preset")],
};
| langchain/docs/babel.config.js/0 | {
"file_path": "langchain/docs/babel.config.js",
"repo_id": "langchain",
"token_count": 91
} | 87 |
""" Lookahead Optimizer Wrapper.
Implementation modified from: https://github.com/alphadl/lookahead.pytorch
Paper: `Lookahead Optimizer: k steps forward, 1 step back` - https://arxiv.org/abs/1907.08610
Hacked together by / Copyright 2020 Ross Wightman
"""
from collections import OrderedDict
from typing import Callable... | pytorch-image-models/timm/optim/lookahead.py/0 | {
"file_path": "pytorch-image-models/timm/optim/lookahead.py",
"repo_id": "pytorch-image-models",
"token_count": 1134
} | 381 |
<jupyter_start><jupyter_text>Structure answers with OpenAI functionsOpenAI functions allows for structuring of response output. This is often useful in question answering when you want to not only get the final answer but also supporting evidence, citations, etc.In this notebook we show how to use an LLM chain which us... | langchain/cookbook/openai_functions_retrieval_qa.ipynb/0 | {
"file_path": "langchain/cookbook/openai_functions_retrieval_qa.ipynb",
"repo_id": "langchain",
"token_count": 1960
} | 79 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,504 |
# coding=utf-8
# Copyright 2023 University of Wisconsin-Madison 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.o... | transformers/src/transformers/models/mra/modeling_mra.py/0 | {
"file_path": "transformers/src/transformers/models/mra/modeling_mra.py",
"repo_id": "transformers",
"token_count": 26152
} | 635 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/schedulers/ddpm.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/ddpm.md",
"repo_id": "diffusers",
"token_count": 470
} | 177 |
use crate::pre_tokenizers::PreTokenizerWrapper;
use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result};
use crate::utils::macro_rules_attribute;
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, PartialEq)]
#[macro_rules_attribute(impl_serde_type!)]
pub struct Sequence {
pretokenizers: Vec<PreT... | tokenizers/tokenizers/src/pre_tokenizers/sequence.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/sequence.rs",
"repo_id": "tokenizers",
"token_count": 1011
} | 456 |
# 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-2.0
#
# Unless requir... | transformers/tests/models/bert/test_modeling_tf_bert.py/0 | {
"file_path": "transformers/tests/models/bert/test_modeling_tf_bert.py",
"repo_id": "transformers",
"token_count": 13599
} | 769 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,695 |
apiVersion: chaos-mesh.org/v1alpha1
kind: StressChaos
metadata:
name: test-querynode-memory-stress-replica
namespace: chaos-testing
spec:
selector:
pods:
chaos-testing:
- mic-replica-milvus-querynode-86c77dd756-rfw8r
- mic-replica-milvus-querynode-86c77dd756-wmtdk
mode: all
stressors... | milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_replicas_memory_stress_pods.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_replicas_memory_stress_pods.yaml",
"repo_id": "milvus",
"token_count": 170
} | 2,021 |
from transformers import ViTForImageClassification, Trainer, TrainingArguments,default_data_collator,ViTFeatureExtractor
from datasets import load_from_disk,load_metric
import random
import logging
import sys
import argparse
import os
import numpy as np
import subprocess
subprocess.run([
"git",
"config... | notebooks/sagemaker/09_image_classification_vision_transformer/scripts/train.py/0 | {
"file_path": "notebooks/sagemaker/09_image_classification_vision_transformer/scripts/train.py",
"repo_id": "notebooks",
"token_count": 2150
} | 286 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: pod-failure-example
namespace: chaos-testing
spec:
action: pod-failure
mode: one
selector:
labelSelectors:
'app.kubernetes.io/component': 'tikv'
scheduler:
cron: '@every 2m' | milvus/tests/benchmark/milvus_benchmark/chaos/template/PodChaos.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/chaos/template/PodChaos.yaml",
"repo_id": "milvus",
"token_count": 109
} | 1,861 |
# 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/biogpt/convert_biogpt_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/biogpt/convert_biogpt_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4719
} | 639 |
export { MaskingParser } from "./parser.js";
export { RegexMaskingTransformer } from "./regex_masking_transformer.js";
export { MaskingTransformer } from "./transformer.js";
export {
type MaskingParserConfig,
type HashFunction,
type HookFunction,
} from "./types.js";
| langchainjs/langchain/src/experimental/masking/index.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/masking/index.ts",
"repo_id": "langchainjs",
"token_count": 86
} | 925 |
kind: StressChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-datanode-memory-stress
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
release: milvus-chaos
app: pulsar
mode: one
stressors:
cpu:
workers: 4
load: 80
m... | milvus/tests/python_client/chaos/chaos_objects/mem_stress/chaos_pulsar_mem_stress.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/mem_stress/chaos_pulsar_mem_stress.yaml",
"repo_id": "milvus",
"token_count": 164
} | 2,020 |
// 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/datacoord/compaction_trigger_test.go/0 | {
"file_path": "milvus/internal/datacoord/compaction_trigger_test.go",
"repo_id": "milvus",
"token_count": 37724
} | 1,911 |
# 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/image_processor.py/0 | {
"file_path": "diffusers/src/diffusers/image_processor.py",
"repo_id": "diffusers",
"token_count": 16585
} | 227 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.jira import JiraReader
def test_class():
names_of_base_classes = [b.__name__ for b in JiraReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-jira/tests/test_readers_jira.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-jira/tests/test_readers_jira.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,395 |
"""Experimental implementation of RELLM wrapped LLM."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Optional, cast
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
from langchain_community... | langchain/libs/experimental/langchain_experimental/llms/rellm_decoder.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/llms/rellm_decoder.py",
"repo_id": "langchain",
"token_count": 937
} | 450 |
import { useMemo } from "react";
import defaults from "../utils/defaults";
import { JsonForms } from "@jsonforms/react";
import { JsonFormsCore, JsonSchema } from "@jsonforms/core";
import { renderers, cells } from "../renderers";
export type InputValue = Pick<JsonFormsCore, "data" | "errors">;
export function Sectio... | langserve/langserve/playground/src/sections/SectionInputs.tsx/0 | {
"file_path": "langserve/langserve/playground/src/sections/SectionInputs.tsx",
"repo_id": "langserve",
"token_count": 1038
} | 1,031 |
<jupyter_start><jupyter_text>BagelDB>[Bagel](https://docs.bageldb.ai/) is a Open Vector Database for AI. It is built for distributed Machine Learning compute. Cutting AI data infra spend by tenfold. - [Website](https://www.bageldb.ai/)- [Documentation](https://docs.bageldb.ai/)- [Twitter](https://twi... | llama_index/docs/examples/vector_stores/BagelIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/BagelIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 3472
} | 1,088 |
import { NodeHandler, ASTParser } from "./base.js";
import { IdentifierType } from "./types.js";
/**
* Handles identifiers in the LangChain Expression Language. Extends the
* NodeHandler class.
*/
export class IdentifierHandler extends NodeHandler {
/**
* Checks if a given node is an identifier. If it is, it r... | langchainjs/langchain/src/output_parsers/expression_type_handlers/identifier_handler.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/identifier_handler.ts",
"repo_id": "langchainjs",
"token_count": 467
} | 896 |
const { execSync } = require("child_process");
const { Command } = require("commander");
const fs = require("fs");
const path = require("path");
const { spawn } = require("child_process");
const readline = require("readline");
const semver = require('semver')
const PRIMARY_PROJECTS = ["langchain", "@langchain/core", "... | langchainjs/release_workspace.js/0 | {
"file_path": "langchainjs/release_workspace.js",
"repo_id": "langchainjs",
"token_count": 4125
} | 1,113 |
FROM ontotext/graphdb:10.5.1
RUN mkdir -p /opt/graphdb/dist/data/repositories/starwars
COPY config.ttl /opt/graphdb/dist/data/repositories/starwars/
COPY starwars-data.trig /
COPY graphdb_create.sh /run.sh
ENTRYPOINT bash /run.sh | langchain/libs/langchain/tests/integration_tests/chains/docker-compose-ontotext-graphdb/Dockerfile/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/chains/docker-compose-ontotext-graphdb/Dockerfile",
"repo_id": "langchain",
"token_count": 103
} | 622 |
from llama_index.core.data_structs.data_structs import IndexDict
from llama_index.core.schema import TextNode
from llama_index.core.storage.storage_context import StorageContext
def test_storage_context_dict() -> None:
storage_context = StorageContext.from_defaults()
# add
node = TextNode(text="test", em... | llama_index/llama-index-core/tests/storage/test_storage_context.py/0 | {
"file_path": "llama_index/llama-index-core/tests/storage/test_storage_context.py",
"repo_id": "llama_index",
"token_count": 374
} | 1,278 |
"""Slack tool spec."""
import logging
from datetime import datetime
from ssl import SSLContext
from typing import List, Optional
from llama_index.legacy.readers.slack import SlackReader
from llama_index.legacy.schema import Document
from llama_index.legacy.tools.tool_spec.base import BaseToolSpec
logger = logging.ge... | llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/slack/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/slack/base.py",
"repo_id": "llama_index",
"token_count": 946
} | 1,721 |
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