text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
"""Node parsers."""
from llama_index.legacy.node_parser.file.html import HTMLNodeParser
from llama_index.legacy.node_parser.file.json import JSONNodeParser
from llama_index.legacy.node_parser.file.markdown import MarkdownNodeParser
from llama_index.legacy.node_parser.file.simple_file import SimpleFileNodeParser
from l... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/__init__.py",
"repo_id": "llama_index",
"token_count": 658
} | 1,506 |
---
sidebar_position: 0
sidebar_class_name: hidden
---
# LLMs
<!-- This file is autogenerated. Do not edit directly. -->
<!-- See `scripts/model-docs.table.js` for details -->
## Features (natively supported)
All LLMs implement the Runnable interface, which comes with default implementations of all methods, ie. `in... | langchainjs/docs/core_docs/docs/integrations/llms/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/index.mdx",
"repo_id": "langchainjs",
"token_count": 1059
} | 718 |
"""Mock predict."""
import json
from typing import Any, Dict
from llama_index.core.prompts.base import (
BasePromptTemplate,
)
from llama_index.core.prompts.prompt_type import PromptType
from tests.mock_utils.mock_utils import mock_extract_keywords_response
def _mock_summary_predict(prompt_args: Dict) -> str:
... | llama_index/llama-index-core/tests/mock_utils/mock_predict.py/0 | {
"file_path": "llama_index/llama-index-core/tests/mock_utils/mock_predict.py",
"repo_id": "llama_index",
"token_count": 2968
} | 1,268 |
#!/bin/bash
# Copyright 2018 Istio 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 agreed t... | milvus/build/lib.sh/0 | {
"file_path": "milvus/build/lib.sh",
"repo_id": "milvus",
"token_count": 2157
} | 1,612 |
# 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/sam/processing_sam.py/0 | {
"file_path": "transformers/src/transformers/models/sam/processing_sam.py",
"repo_id": "transformers",
"token_count": 4814
} | 691 |
# coding=utf-8
# Copyright 2022 Meta Platforms authors and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/src/transformers/models/flava/convert_flava_original_pytorch_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/flava/convert_flava_original_pytorch_to_hf.py",
"repo_id": "transformers",
"token_count": 1622
} | 664 |
"""Tool for the Wikipedia API."""
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.wikipedia import WikipediaAPIWrapper
class WikipediaQueryRun(BaseTool):
"""Tool that searches the Wikipedia A... | langchain/libs/community/langchain_community/tools/wikipedia/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/wikipedia/tool.py",
"repo_id": "langchain",
"token_count": 292
} | 318 |
<!--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 applicable law or agreed... | transformers/docs/source/ja/main_classes/callback.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/callback.md",
"repo_id": "transformers",
"token_count": 2295
} | 541 |
from typing import Dict, Optional
import pytest
from langchain_cli.constants import (
DEFAULT_GIT_REF,
DEFAULT_GIT_REPO,
DEFAULT_GIT_SUBDIRECTORY,
)
from langchain_cli.utils.git import DependencySource, parse_dependency_string
def _assert_dependency_equals(
dep: DependencySource,
*,
git: Opt... | langchain/libs/cli/tests/test_utils.py/0 | {
"file_path": "langchain/libs/cli/tests/test_utils.py",
"repo_id": "langchain",
"token_count": 1822
} | 219 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,606 |
<jupyter_start><jupyter_text>FalkorDB Graph StoreThis notebook walks through configuring `FalkorDB` to be the backend for graph storage in LlamaIndex.<jupyter_code>%pip install llama-index-llms-openai
%pip install llama-index-graph-stores-falkordb
# My OpenAI Key
import os
os.environ["OPENAI_API_KEY"] = "API_KEY_HERE"... | llama_index/docs/examples/index_structs/knowledge_graph/FalkorDBGraphDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/index_structs/knowledge_graph/FalkorDBGraphDemo.ipynb",
"repo_id": "llama_index",
"token_count": 964
} | 1,058 |
{
"monolingual": "contains a single language",
"multilingual": "contains multiple languages",
"translation": "contains translated or aligned text",
"other": "other type of language distribution"
}
| datasets/src/datasets/utils/resources/multilingualities.json/0 | {
"file_path": "datasets/src/datasets/utils/resources/multilingualities.json",
"repo_id": "datasets",
"token_count": 55
} | 147 |
import re
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from langchain_core.language_models import BaseLanguageModel
from langchain_experimental.generative_agents.memory import GenerativeAgentMemory
... | langchain/libs/experimental/langchain_experimental/generative_agents/generative_agent.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/generative_agents/generative_agent.py",
"repo_id": "langchain",
"token_count": 4450
} | 461 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion/test_stable_diffusion_instruction_pix2pix.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_stable_diffusion_instruction_pix2pix.py",
"repo_id": "diffusers",
"token_count": 7735
} | 293 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,661 |
<jupyter_start><jupyter_text>Postgres>[PostgreSQL](https://en.wikipedia.org/wiki/PostgreSQL) also known as `Postgres`, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance.This notebook goes over how to use Postgres to store chat message history.<jupyter_c... | langchain/docs/docs/integrations/memory/postgres_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/postgres_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 189
} | 129 |
# Sanity check script to ensure that the Chroma client can connect
# and is capable of recieving data.
import chromadb
# run in in-memory mode
chroma_api = chromadb.Client()
print(chroma_api.heartbeat())
| chroma/bin/test.py/0 | {
"file_path": "chroma/bin/test.py",
"repo_id": "chroma",
"token_count": 62
} | 10 |
<!--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/resnet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/resnet.md",
"repo_id": "transformers",
"token_count": 1253
} | 493 |
import { OpenAI } from "@langchain/openai";
import { loadQAMapReduceChain } from "langchain/chains";
import { Document } from "@langchain/core/documents";
// Optionally limit the number of concurrent requests to the language model.
const model = new OpenAI({ temperature: 0, maxConcurrency: 10 });
const chain = loadQAM... | langchainjs/examples/src/chains/question_answering_map_reduce.ts/0 | {
"file_path": "langchainjs/examples/src/chains/question_answering_map_reduce.ts",
"repo_id": "langchainjs",
"token_count": 243
} | 849 |
# 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/vitmatte/convert_vitmatte_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/vitmatte/convert_vitmatte_to_hf.py",
"repo_id": "transformers",
"token_count": 2675
} | 738 |
""" PyTorch Lamb optimizer w/ behaviour similar to NVIDIA FusedLamb
This optimizer code was adapted from the following (starting with latest)
* https://github.com/HabanaAI/Model-References/blob/2b435114fe8e31f159b1d3063b8280ae37af7423/PyTorch/nlp/bert/pretraining/lamb.py
* https://github.com/NVIDIA/DeepLearningExample... | pytorch-image-models/timm/optim/lamb.py/0 | {
"file_path": "pytorch-image-models/timm/optim/lamb.py",
"repo_id": "pytorch-image-models",
"token_count": 3768
} | 410 |
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | trl/examples/research_projects/tools/python_interpreter.py/0 | {
"file_path": "trl/examples/research_projects/tools/python_interpreter.py",
"repo_id": "trl",
"token_count": 2604
} | 775 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
const apiUrl =
"https://llm.api.cloud.yandex.net/foundationModels/v1/completion";
export interface YandexGPTInputs extends BaseLLMParams {
/**
* What sampling temp... | langchainjs/libs/langchain-yandex/src/llms.ts/0 | {
"file_path": "langchainjs/libs/langchain-yandex/src/llms.ts",
"repo_id": "langchainjs",
"token_count": 1694
} | 1,049 |
[tool.poetry]
name = "cohere-librarian"
version = "0.0.1"
description = "Get started with a simple template that acts as a librarian"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
cohere = "^4.37"
chromadb = "^0.4.18"
[tool.poetry.group.dev.dependencies]
langc... | langchain/templates/cohere-librarian/pyproject.toml/0 | {
"file_path": "langchain/templates/cohere-librarian/pyproject.toml",
"repo_id": "langchain",
"token_count": 287
} | 706 |
package writebuffer
import (
"fmt"
"testing"
"time"
"github.com/samber/lo"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/util/paramtable"
"github.com/milvus-io/milvus/pkg/util/tsoutil"
)... | milvus/internal/datanode/writebuffer/delta_buffer_test.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/delta_buffer_test.go",
"repo_id": "milvus",
"token_count": 875
} | 1,981 |
python_test_utils(
name="test_utils",
)
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/text_splitter/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/text_splitter/BUILD",
"repo_id": "llama_index",
"token_count": 35
} | 1,216 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-pulsar-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
release: milvus-chaos
app: pulsar
mode: fixed
value: "1"
action: pod-failure
duration: 2m
gracePeriod:... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_pulsar_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_pulsar_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 133
} | 1,888 |
"""Unit tests for html2text document transformer."""
import pytest
from langchain_core.documents import Document
from langchain_community.document_transformers import Html2TextTransformer
@pytest.mark.requires("html2text")
def test_transform_empty_html() -> None:
html2text_transformer = Html2TextTransformer()
... | langchain/libs/community/tests/unit_tests/document_transformers/test_html2text_transformer.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_transformers/test_html2text_transformer.py",
"repo_id": "langchain",
"token_count": 1554
} | 393 |
# MEP: Search By Primary Keys
Current state: Under Discussion
ISSUE: [[Feature]: Support to search by primary keys #23184](https://github.com/milvus-io/milvus/issues/23184)
Keywords: Search, ANN
Released: v2.3.0
## Summary
Support to search (ANNS) by the query vectors corresponding to the given primary keys.
## ... | milvus/docs/design_docs/20230403-search_by_pk.md/0 | {
"file_path": "milvus/docs/design_docs/20230403-search_by_pk.md",
"repo_id": "milvus",
"token_count": 714
} | 1,630 |
# Big Transfer (BiT)
**Big Transfer (BiT)** is a type of pretraining recipe that pre-trains on a large supervised source dataset, and fine-tunes the weights on the target task. Models are trained on the JFT-300M dataset. The finetuned models contained in this collection are finetuned on ImageNet.
{% include 'code_sn... | pytorch-image-models/docs/models/.templates/models/big-transfer.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/big-transfer.md",
"repo_id": "pytorch-image-models",
"token_count": 3274
} | 358 |
# Fine-tuning for image classification using LoRA and 🤗 PEFT
## Vision Transformer model from transformers
[](https://colab.research.google.com/github/huggingface/peft/blob/main/examples/image_classification/image_classification_peft_lora.ipyn... | peft/examples/image_classification/README.md/0 | {
"file_path": "peft/examples/image_classification/README.md",
"repo_id": "peft",
"token_count": 457
} | 326 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "memory/zep",
});
export * from "@langchain/community/memory/zep";
| langchainjs/langchain/src/memory/zep.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/zep.ts",
"repo_id": "langchainjs",
"token_count": 70
} | 935 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/tvlt/test_modeling_tvlt.py/0 | {
"file_path": "transformers/tests/models/tvlt/test_modeling_tvlt.py",
"repo_id": "transformers",
"token_count": 11461
} | 753 |
/*
* 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... | milvus/pkg/mq/msgstream/msg_for_index.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/msg_for_index.go",
"repo_id": "milvus",
"token_count": 1806
} | 1,959 |
package kafka
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestKafkaID_Serialize(t *testing.T) {
rid := &kafkaID{messageID: 8}
bin := rid.Serialize()
assert.NotNil(t, bin)
assert.NotZero(t, len(bin))
}
func TestKafkaID_AtEarliestPosition(t *testing.T) {
rid := &kafkaID{messageID: 8}
assert... | milvus/pkg/mq/msgstream/mqwrapper/kafka/kafka_id_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/kafka/kafka_id_test.go",
"repo_id": "milvus",
"token_count": 701
} | 2,095 |
# coding=utf-8
# Copyright 2022 Meta Platforms authors and HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | transformers/tests/models/flava/test_image_processing_flava.py/0 | {
"file_path": "transformers/tests/models/flava/test_image_processing_flava.py",
"repo_id": "transformers",
"token_count": 7088
} | 724 |
# `auto-evaluator-api`
This API includes much of the functionality of the [auto-evaluator Streamlit app](https://github.com/PineappleExpress808/auto-evaluator).
And it is the back-end for [the hosted app](https://autoevaluator.langchain.com/).
### `Test locally` -
Set API keys:
```
export OPENAI_API_KEY=
export A... | auto-evaluator/api/README.md/0 | {
"file_path": "auto-evaluator/api/README.md",
"repo_id": "auto-evaluator",
"token_count": 528
} | 0 |
from langchain_core.tracers.stdout import (
ConsoleCallbackHandler,
FunctionCallbackHandler,
elapsed,
try_json_stringify,
)
__all__ = [
"try_json_stringify",
"elapsed",
"FunctionCallbackHandler",
"ConsoleCallbackHandler",
]
| langchain/libs/langchain/langchain/schema/callbacks/tracers/stdout.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/callbacks/tracers/stdout.py",
"repo_id": "langchain",
"token_count": 96
} | 543 |
# Inception v4
**Inception-v4** is a convolutional neural network architecture that builds on previous iterations of the Inception family by simplifying the architecture and using more inception modules than [Inception-v3](https://paperswithcode.com/method/inception-v3).
{% include 'code_snippets.md' %}
## How do I t... | pytorch-image-models/docs/models/.templates/models/inception-v4.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/inception-v4.md",
"repo_id": "pytorch-image-models",
"token_count": 816
} | 330 |
"""Wrapper around in-memory storage."""
from __future__ import annotations
from typing import Any, Dict, List, Literal, Optional
from langchain_core.embeddings import Embeddings
from langchain_community.vectorstores.docarray.base import (
DocArrayIndex,
_check_docarray_import,
)
class DocArrayInMemorySearc... | langchain/libs/community/langchain_community/vectorstores/docarray/in_memory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/docarray/in_memory.py",
"repo_id": "langchain",
"token_count": 1057
} | 308 |
""" Loader Factory, Fast Collate, CUDA Prefetcher
Prefetcher and Fast Collate inspired by NVIDIA APEX example at
https://github.com/NVIDIA/apex/commit/d5e2bb4bdeedd27b1dfaf5bb2b24d6c000dee9be#diff-cf86c282ff7fba81fad27a559379d5bf
Hacked together by / Copyright 2019, Ross Wightman
"""
import logging
import random
from... | pytorch-image-models/timm/data/loader.py/0 | {
"file_path": "pytorch-image-models/timm/data/loader.py",
"repo_id": "pytorch-image-models",
"token_count": 6793
} | 348 |
// 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/log/Log.h/0 | {
"file_path": "milvus/internal/core/src/log/Log.h",
"repo_id": "milvus",
"token_count": 1304
} | 1,790 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/gpt_neo/test_modeling_flax_gpt_neo.py/0 | {
"file_path": "transformers/tests/models/gpt_neo/test_modeling_flax_gpt_neo.py",
"repo_id": "transformers",
"token_count": 6851
} | 818 |
# 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... | trl/tests/test_environments.py/0 | {
"file_path": "trl/tests/test_environments.py",
"repo_id": "trl",
"token_count": 4813
} | 785 |
# coding=utf-8
# Copyright 2018 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/openai/convert_openai_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/openai/convert_openai_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 987
} | 664 |
"""Test ScaNN functionality."""
import datetime
import tempfile
import numpy as np
import pytest
from langchain_core.documents import Document
from langchain_community.docstore.in_memory import InMemoryDocstore
from langchain_community.vectorstores.scann import (
ScaNN,
dependable_scann_import,
normalize,... | langchain/libs/community/tests/integration_tests/vectorstores/test_scann.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_scann.py",
"repo_id": "langchain",
"token_count": 4378
} | 378 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-yelp/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yelp/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,509 |
from langchain_community.embeddings.bookend import (
BookendEmbeddings,
)
__all__ = ["BookendEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/bookend.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/bookend.py",
"repo_id": "langchain",
"token_count": 40
} | 505 |
#define _USE_MATH_DEFINES
#include<math.h>
#include<stdint.h>
#include "cuda_utils.cuh"
#define UNARY_OP(TYPENAME, FN_NAME, FUNC) \
extern "C" __global__ void FN_NAME( \
const size_t numel, \
const size_t num_dims, \
const size_t *info, \
const TYPENAME *inp, \
TYPENAME *out \
) { \
const size_... | candle/candle-kernels/src/unary.cu/0 | {
"file_path": "candle/candle-kernels/src/unary.cu",
"repo_id": "candle",
"token_count": 3376
} | 52 |
from python_lint.agent_executor import agent_executor
__all__ = ["agent_executor"]
| langchain/templates/python-lint/python_lint/__init__.py/0 | {
"file_path": "langchain/templates/python-lint/python_lint/__init__.py",
"repo_id": "langchain",
"token_count": 28
} | 665 |
from collections import defaultdict
from typing import Optional
from ..image_utils import load_image
from ..utils import (
add_end_docstrings,
is_torch_available,
logging,
requires_backends,
)
from .base import ChunkPipeline, build_pipeline_init_args
if is_torch_available():
import torch
fro... | transformers/src/transformers/pipelines/mask_generation.py/0 | {
"file_path": "transformers/src/transformers/pipelines/mask_generation.py",
"repo_id": "transformers",
"token_count": 5619
} | 700 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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/LI... | transformers/examples/flax/token-classification/run_flax_ner.py/0 | {
"file_path": "transformers/examples/flax/token-classification/run_flax_ner.py",
"repo_id": "transformers",
"token_count": 14777
} | 553 |
# Momento
> [Momento Cache](https://docs.momentohq.com/) is the world's first truly serverless caching service, offering instant elasticity, scale-to-zero
> capability, and blazing-fast performance.
>
> [Momento Vector Index](https://docs.momentohq.com/vector-index) stands out as the most productive, easiest-to-use, f... | langchain/docs/docs/integrations/providers/momento.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/momento.mdx",
"repo_id": "langchain",
"token_count": 603
} | 146 |
"""Test Together API wrapper.
In order to run this test, you need to have an Together api key.
You can get it by registering for free at https://api.together.xyz/.
A test key can be found at https://api.together.xyz/settings/api-keys
You'll then need to set TOGETHER_API_KEY environment variable to your api key.
"""
i... | langchain/libs/partners/together/tests/integration_tests/test_llms.py/0 | {
"file_path": "langchain/libs/partners/together/tests/integration_tests/test_llms.py",
"repo_id": "langchain",
"token_count": 439
} | 657 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_depth_estimation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_depth_estimation.py",
"repo_id": "transformers",
"token_count": 1794
} | 838 |
from __future__ import annotations
import uuid
from abc import ABC, abstractmethod
from typing import List, Optional, Sequence
NAMESPACE_UUID = uuid.UUID(int=1984)
class RecordManager(ABC):
"""An abstract base class representing the interface for a record manager."""
def __init__(
self,
nam... | langchain/libs/community/langchain_community/indexes/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/indexes/base.py",
"repo_id": "langchain",
"token_count": 2091
} | 264 |
import asyncio
import logging
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Dict, List, Mapping, Optional, Sequence, TypedDict
import aiohttp
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.languag... | langchain/libs/community/langchain_community/llms/gradient_ai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/gradient_ai.py",
"repo_id": "langchain",
"token_count": 6888
} | 281 |
# coding=utf-8
# Copyright 2021 The Google Flax Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | transformers/src/transformers/models/gpt2/modeling_flax_gpt2.py/0 | {
"file_path": "transformers/src/transformers/models/gpt2/modeling_flax_gpt2.py",
"repo_id": "transformers",
"token_count": 14132
} | 670 |
locust_random_performance:
collections:
-
milvus:
cache_config.insert_buffer_size: 2GB
engine_config.use_blas_threshold: 1100
wal_enable: true
collection_name: sift_1m_128_l2
# other_fields: int
ni_per: 50000
build_index: false
index_type: ivf_sq8
... | milvus/tests/benchmark/milvus_benchmark/suites/2_locust_random.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/2_locust_random.yaml",
"repo_id": "milvus",
"token_count": 707
} | 2,149 |
from __future__ import annotations
from typing import List, Union
from langchain_core.documents import Document
from langchain_core.load.serializable import Serializable
from langchain_core.pydantic_v1 import Field
class Node(Serializable):
"""Represents a node in a graph with associated properties.
Attrib... | langchain/libs/community/langchain_community/graphs/graph_document.py/0 | {
"file_path": "langchain/libs/community/langchain_community/graphs/graph_document.py",
"repo_id": "langchain",
"token_count": 483
} | 262 |
<jupyter_start><jupyter_text>RAG based on Qianfan and BES This notebook is an implementation of Retrieval augmented generation (RAG) using Baidu Qianfan Platform combined with Baidu ElasricSearch, where the original data is located on BOS. Baidu QianfanBaidu AI Cloud Qianfan Platform is a one-stop large model developme... | langchain/cookbook/qianfan_baidu_elasticesearch_RAG.ipynb/0 | {
"file_path": "langchain/cookbook/qianfan_baidu_elasticesearch_RAG.ipynb",
"repo_id": "langchain",
"token_count": 1090
} | 75 |
label: 'Types' | langchain/docs/docs/modules/model_io/output_parsers/types/_category_.yml/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/_category_.yml",
"repo_id": "langchain",
"token_count": 5
} | 212 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,662 |
# Contributing to LlamaIndex
Interested in contributing to LlamaIndex? Here's how to get started!
## Contribution Guideline
The best part of LlamaIndex is our community of users and contributors.
### What should I work on?
1. 🆕 Extend core modules
2. 🐛 Fix bugs
3. 🎉 Add usage examples
4. 🧪 Add experimental fea... | llama_index/llama-index-core/CONTRIBUTING.md/0 | {
"file_path": "llama_index/llama-index-core/CONTRIBUTING.md",
"repo_id": "llama_index",
"token_count": 4318
} | 1,241 |
# hyde
This template uses HyDE with RAG.
Hyde is a retrieval method that stands for Hypothetical Document Embeddings (HyDE). It is a method used to enhance retrieval by generating a hypothetical document for an incoming query.
The document is then embedded, and that embedding is utilized to look up real documents... | langchain/templates/hyde/README.md/0 | {
"file_path": "langchain/templates/hyde/README.md",
"repo_id": "langchain",
"token_count": 668
} | 664 |
from typing import Any, Dict, List, Optional
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.core.schema import NodeWithScore, QueryBundle
from llama_index.core.se... | llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/llama_index/indices/managed/colbert/retriever.py/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/llama_index/indices/managed/colbert/retriever.py",
"repo_id": "llama_index",
"token_count": 981
} | 1,285 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,316 |
# RegNetY
**RegNetY** is a convolutional network design space with simple, regular models with parameters: depth $d$, initial width $w\_{0} > 0$, and slope $w\_{a} > 0$, and generates a different block width $u\_{j}$ for each block $j < d$. The key restriction for the RegNet types of model is that there is a linear pa... | pytorch-image-models/docs/models/.templates/models/regnety.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/regnety.md",
"repo_id": "pytorch-image-models",
"token_count": 5944
} | 346 |
# coding=utf-8
# Copyright 2023 The Kakao Enterprise Authors and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/... | transformers/src/transformers/models/vits/configuration_vits.py/0 | {
"file_path": "transformers/src/transformers/models/vits/configuration_vits.py",
"repo_id": "transformers",
"token_count": 5431
} | 673 |
export function deepestChild(el: HTMLElement): HTMLElement {
if (el.lastElementChild && el.lastElementChild.nodeType !== Node.TEXT_NODE) {
return deepestChild(el.lastElementChild as HTMLElement);
}
return el;
}
| chat-ui/src/lib/utils/deepestChild.ts/0 | {
"file_path": "chat-ui/src/lib/utils/deepestChild.ts",
"repo_id": "chat-ui",
"token_count": 74
} | 97 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/llama_index/vector_stores/myscale/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/llama_index/vector_stores/myscale/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,528 |
import unittest
import pytest
from langchain_community.document_loaders.parsers.language.scala import ScalaSegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestScalaSegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """def foo() {
return 1
}
obje... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_scala.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_scala.py",
"repo_id": "langchain",
"token_count": 647
} | 387 |
import type { OpenAI as OpenAIClient } from "openai";
import { TiktokenModel } from "js-tiktoken/lite";
import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
// reexport this type from the included package so we can easily override and extend it if needed in the future
// also make... | langchainjs/libs/langchain-openai/src/types.ts/0 | {
"file_path": "langchainjs/libs/langchain-openai/src/types.ts",
"repo_id": "langchainjs",
"token_count": 1918
} | 983 |
#ifndef _qdq_4_cuh
#define _qdq_4_cuh
#include "qdq_util.cuh"
#include "../../config.h"
#if QMODE_4BIT == 1
// Permutation:
//
// 77775555 33331111 66664444 22220000
__forceinline__ __device__ void shuffle_4bit_8
(
uint32_t* q,
int stride
)
{
uint32_t qa = q[0];
uint32_t qb = 0;
#pragma unroll... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_4.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_4.cuh",
"repo_id": "text-generation-inference",
"token_count": 3278
} | 399 |
"""Make.com API wrapper.
Currently cannot load documents.
"""
from typing import Any, List, Optional
import requests
from llama_index.core.base.response.schema import Response
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document, NodeWithScore, TextNode
class MakeWrapp... | llama_index/llama-index-integrations/readers/llama-index-readers-make-com/llama_index/readers/make_com/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-make-com/llama_index/readers/make_com/base.py",
"repo_id": "llama_index",
"token_count": 676
} | 1,376 |
<jupyter_start><jupyter_text>Llama2 + VectorStoreIndexThis notebook walks through the proper setup to use llama-2 with LlamaIndex. Specifically, we look at using a vector store index. Setup If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-... | llama_index/docs/examples/vector_stores/SimpleIndexDemoLlama2.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/SimpleIndexDemoLlama2.ipynb",
"repo_id": "llama_index",
"token_count": 1079
} | 1,085 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/tuners/ia3/config.py/0 | {
"file_path": "peft/src/peft/tuners/ia3/config.py",
"repo_id": "peft",
"token_count": 1842
} | 324 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.dashvector import DashVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in DashVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/tests/test_vector_stores_dashvector.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/tests/test_vector_stores_dashvector.py",
"repo_id": "llama_index",
"token_count": 90
} | 1,522 |
# 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/models/hubert/convert_distilhubert_original_s3prl_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/hubert/convert_distilhubert_original_s3prl_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 3907
} | 645 |
"""Autoretriever prompts."""
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.prompts.prompt_type import PromptType
from llama_index.legacy.vector_stores.types import (
FilterOperator,
MetadataFilter,
MetadataInfo,
VectorStoreInfo,
VectorStoreQuerySpec,
)
# NOTE: ... | llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/auto_retriever/prompts.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/auto_retriever/prompts.py",
"repo_id": "llama_index",
"token_count": 1463
} | 1,608 |
The ISC License
Copyright (c) 2010-2023 Isaac Z. Schlueter and Contributors
Permission to use, copy, modify, and/or distribute this software for any
purpose with or without fee is hereby granted, provided that the above
copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS... | langchainjs/langchain-core/src/utils/sax-js/LICENSE.md/0 | {
"file_path": "langchainjs/langchain-core/src/utils/sax-js/LICENSE.md",
"repo_id": "langchainjs",
"token_count": 571
} | 865 |
# 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/deprecated/mctct/feature_extraction_mctct.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/mctct/feature_extraction_mctct.py",
"repo_id": "transformers",
"token_count": 5577
} | 671 |
"""Common utils for embeddings."""
import json
import re
import uuid
from typing import Dict, List, Tuple
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.llms.utils import LLM
from llama_index.core.schema import MetadataMode, TextNode
from tqdm import tqdm
class EmbeddingQAFinetuneDatase... | llama_index/llama-index-core/llama_index/core/llama_dataset/legacy/embedding.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/llama_dataset/legacy/embedding.py",
"repo_id": "llama_index",
"token_count": 1269
} | 1,274 |
from neo4j_generation.chain import chain
__all__ = ["chain"]
| langchain/templates/neo4j-generation/neo4j_generation/__init__.py/0 | {
"file_path": "langchain/templates/neo4j-generation/neo4j_generation/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 712 |
""" Position Embedding Utilities
Hacked together by / Copyright 2022 Ross Wightman
"""
import logging
import math
from typing import List, Tuple, Optional, Union
import torch
import torch.nn.functional as F
from .helpers import to_2tuple
_logger = logging.getLogger(__name__)
def resample_abs_pos_embed(
po... | pytorch-image-models/timm/layers/pos_embed.py/0 | {
"file_path": "pytorch-image-models/timm/layers/pos_embed.py",
"repo_id": "pytorch-image-models",
"token_count": 1127
} | 395 |
use super::Cpu;
#[cfg(target_arch = "arm")]
use core::arch::arm::*;
#[cfg(target_arch = "aarch64")]
use core::arch::aarch64::*;
pub struct CurrentCpu {}
const STEP: usize = 16;
const EPR: usize = 4;
const ARR: usize = STEP / EPR;
impl CurrentCpu {
#[cfg(target_arch = "aarch64")]
unsafe fn reduce_one(x: floa... | candle/candle-core/src/cpu/neon.rs/0 | {
"file_path": "candle/candle-core/src/cpu/neon.rs",
"repo_id": "candle",
"token_count": 897
} | 29 |
<jupyter_start><jupyter_text>This notebook shows how to use the RSpace document loader to import research notes and documents from RSpace ElectronicLab Notebook into Langchain pipelines.To start you'll need an RSpace account and an API key.You can set up a free account at [https://community.researchspace.com](https://c... | langchain/docs/docs/integrations/document_loaders/rspace.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/rspace.ipynb",
"repo_id": "langchain",
"token_count": 651
} | 121 |
# Custom document loaders
If you want to implement your own Document Loader, you have a few options.
### Subclassing `BaseDocumentLoader`
You can extend the `BaseDocumentLoader` class directly. The `BaseDocumentLoader` class provides a few convenience methods for loading documents from a variety of sources.
```type... | langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/custom.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/custom.mdx",
"repo_id": "langchainjs",
"token_count": 314
} | 785 |
# LlamaIndex Llms Integration: Openai Like
| llama_index/llama-index-integrations/llms/llama-index-llms-openai-like/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openai-like/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,322 |
from langchain_community.tools.playwright.click import ClickTool, ClickToolInput
__all__ = ["ClickToolInput", "ClickTool"]
| langchain/libs/langchain/langchain/tools/playwright/click.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/playwright/click.py",
"repo_id": "langchain",
"token_count": 35
} | 608 |
package etcd
import (
"sync"
clientv3 "go.etcd.io/etcd/client/v3"
"go.etcd.io/etcd/server/v3/embed"
"go.etcd.io/etcd/server/v3/etcdserver/api/v3client"
"go.uber.org/zap"
"github.com/milvus-io/milvus/pkg/log"
)
// EtcdServer is the singleton of embedded etcd server
var (
initOnce sync.Once
closeOnce sync.... | milvus/pkg/util/etcd/etcd_server.go/0 | {
"file_path": "milvus/pkg/util/etcd/etcd_server.go",
"repo_id": "milvus",
"token_count": 673
} | 1,908 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/segments/segment.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/segment.go",
"repo_id": "milvus",
"token_count": 14279
} | 1,995 |
from langchain_community.chat_message_histories.rocksetdb import (
RocksetChatMessageHistory,
)
__all__ = ["RocksetChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/rocksetdb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/rocksetdb.py",
"repo_id": "langchain",
"token_count": 46
} | 556 |
<jupyter_start><jupyter_text>Epsilla>[Epsilla](https://www.epsilla.com) is an open-source vector database that leverages the advanced parallel graph traversal techniques for vector indexing. Epsilla is licensed under GPL-3.0.This notebook shows how to use the functionalities related to the `Epsilla` vector database.As ... | langchain/docs/docs/integrations/vectorstores/epsilla.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/epsilla.ipynb",
"repo_id": "langchain",
"token_count": 622
} | 180 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/examples/pytorch/language-modeling/run_plm.py/0 | {
"file_path": "transformers/examples/pytorch/language-modeling/run_plm.py",
"repo_id": "transformers",
"token_count": 10316
} | 525 |
---
sidebar_class_name: node-only
---
import CodeBlock from "@theme/CodeBlock";
# SingleStore
[SingleStoreDB](https://singlestore.com/) is a high-performance distributed SQL database that supports deployment both in the [cloud](https://www.singlestore.com/cloud/) and on-premise. It provides vector storage, as well a... | langchainjs/docs/core_docs/docs/integrations/vectorstores/singlestore.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/singlestore.mdx",
"repo_id": "langchainjs",
"token_count": 659
} | 744 |
import logging
import os
from langchain_core.documents import Document
from langchain_community.document_loaders import RocksetLoader
logger = logging.getLogger(__name__)
def test_sql_query() -> None:
import rockset
assert os.environ.get("ROCKSET_API_KEY") is not None
assert os.environ.get("ROCKSET_RE... | langchain/libs/community/tests/integration_tests/document_loaders/test_rocksetdb.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_rocksetdb.py",
"repo_id": "langchain",
"token_count": 779
} | 346 |
# coding=utf-8
# Copyright 2021 Facebook AI Research 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/LIC... | transformers/src/transformers/models/detr/modeling_detr.py/0 | {
"file_path": "transformers/src/transformers/models/detr/modeling_detr.py",
"repo_id": "transformers",
"token_count": 48595
} | 676 |
from typing import Any
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
def argilla_callback_handler(**kwargs: Any) -> BaseCallbackHandler:
try:
# lazy import
from argilla_llama_index import ArgillaCallbackHandler
except ImportError:
raise ImportError("Please in... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/llama_index/callbacks/argilla/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/llama_index/callbacks/argilla/base.py",
"repo_id": "llama_index",
"token_count": 131
} | 1,226 |
import os
from langchain_community.graphs import Neo4jGraph
from langchain_community.graphs.neo4j_graph import (
node_properties_query,
rel_properties_query,
rel_query,
)
def test_cypher_return_correct_schema() -> None:
"""Test that chain returns direct results."""
url = os.environ.get("NEO4J_URI... | langchain/libs/community/tests/integration_tests/graphs/test_neo4j.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/test_neo4j.py",
"repo_id": "langchain",
"token_count": 1576
} | 334 |
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