text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<!--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/models/overview.md/0 | {
"file_path": "diffusers/docs/source/en/api/models/overview.md",
"repo_id": "diffusers",
"token_count": 336
} | 171 |
import pulsar
def pulsar_to_int(message_id: pulsar.MessageId) -> int:
ledger_id: int = message_id.ledger_id()
entry_id: int = message_id.entry_id()
batch_index: int = message_id.batch_index()
partition: int = message_id.partition()
# Convert to offset binary encoding to preserve ordering semantic... | chroma/chromadb/utils/messageid.py/0 | {
"file_path": "chroma/chromadb/utils/messageid.py",
"repo_id": "chroma",
"token_count": 931
} | 27 |
ann_accuracy:
collections:
-
milvus:
cache_config.cpu_cache_capacity: 16GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
gpu_resource_config.cache_capacity: 4GB
gpu_resource_config.search_resourc... | milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_accuracy_ann.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_accuracy_ann.yaml",
"repo_id": "milvus",
"token_count": 4101
} | 1,871 |
# coding=utf-8
# Copyright 2021 Google AI, Ross Wightman, 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/license... | transformers/src/transformers/models/vit/modeling_vit.py/0 | {
"file_path": "transformers/src/transformers/models/vit/modeling_vit.py",
"repo_id": "transformers",
"token_count": 15053
} | 670 |
apiVersion: chaos-mesh.org/v1alpha1
kind: NetworkChaos
metadata:
name: test-minio-network-partition
namespace: chaos-testing
spec:
action: partition
mode: all
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: chaos-testing
app.kubernetes.io/name: milvu... | milvus/tests/python_client/chaos/chaos_objects/network_partition/chaos_minio_network_partition.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_partition/chaos_minio_network_partition.yaml",
"repo_id": "milvus",
"token_count": 213
} | 1,956 |
# Nuclia
>[Nuclia](https://nuclia.com) automatically indexes your unstructured data from any internal
> and external source, providing optimized search results and generative answers.
> It can handle video and audio transcription, image content extraction, and document parsing.
>`Nuclia Understanding API` document t... | langchain/docs/docs/integrations/providers/nuclia.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/nuclia.mdx",
"repo_id": "langchain",
"token_count": 385
} | 140 |
use crate::tokenizer::{NormalizedString, Normalizer, Result};
use crate::utils::macro_rules_attribute;
#[derive(Default, Copy, Clone, Debug)]
#[macro_rules_attribute(impl_serde_type!)]
pub struct NFD;
impl Normalizer for NFD {
fn normalize(&self, normalized: &mut NormalizedString) -> Result<()> {
normalize... | tokenizers/tokenizers/src/normalizers/unicode.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/unicode.rs",
"repo_id": "tokenizers",
"token_count": 1317
} | 467 |
from langchain_community.utilities.opaqueprompts import desanitize, sanitize
__all__ = ["sanitize", "desanitize"]
| langchain/libs/langchain/langchain/utilities/opaqueprompts.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/opaqueprompts.py",
"repo_id": "langchain",
"token_count": 41
} | 573 |
<!--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/en/model_doc/bert-generation.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bert-generation.md",
"repo_id": "transformers",
"token_count": 1314
} | 456 |
# flake8: noqa
from .base_environment import TextEnvironment, TextHistory
| trl/trl/environment/__init__.py/0 | {
"file_path": "trl/trl/environment/__init__.py",
"repo_id": "trl",
"token_count": 21
} | 873 |
<!---
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 a... | transformers/examples/research_projects/onnx/summarization/README.md/0 | {
"file_path": "transformers/examples/research_projects/onnx/summarization/README.md",
"repo_id": "transformers",
"token_count": 463
} | 567 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/optimization/xformers.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/xformers.md",
"repo_id": "diffusers",
"token_count": 1049
} | 196 |
# coding=utf-8
# Copyright 2020 The Allen Institute for AI team 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... | transformers/src/transformers/models/longformer/configuration_longformer.py/0 | {
"file_path": "transformers/src/transformers/models/longformer/configuration_longformer.py",
"repo_id": "transformers",
"token_count": 3683
} | 659 |
import pytest
from text_generation_server.pb import generate_pb2
@pytest.fixture
def default_pb_parameters():
return generate_pb2.NextTokenChooserParameters(
temperature=1.0,
repetition_penalty=1.0,
top_k=0,
top_p=1.0,
typical_p=1.0,
do_sample=False,
)
@pytes... | text-generation-inference/server/tests/conftest.py/0 | {
"file_path": "text-generation-inference/server/tests/conftest.py",
"repo_id": "text-generation-inference",
"token_count": 199
} | 424 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-maps/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-maps/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,346 |
# README
## Overview
For better tracking and debugging Milvus, the script `export-milvus-log.sh` is provided for exporting all Milvus logs at once. For those pods that have been restarted, this script can export the logs of the running pods and the logs of the previously pods.
> Note: This script only works with Mil... | milvus/deployments/export-log/README.md/0 | {
"file_path": "milvus/deployments/export-log/README.md",
"repo_id": "milvus",
"token_count": 1235
} | 1,719 |
<!--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/en/model_doc/marian.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/marian.md",
"repo_id": "transformers",
"token_count": 3064
} | 509 |
from langchain_community.vectorstores.weaviate import (
Weaviate,
)
__all__ = [
"Weaviate",
]
| langchain/libs/langchain/langchain/vectorstores/weaviate.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/weaviate.py",
"repo_id": "langchain",
"token_count": 43
} | 577 |
from __future__ import annotations
import json
import logging
from hashlib import sha1
from threading import Thread
from typing import Any, Dict, Iterable, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseSe... | langchain/libs/community/langchain_community/vectorstores/myscale.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/myscale.py",
"repo_id": "langchain",
"token_count": 10980
} | 327 |
[tool.poetry]
name = "rag-multi-index-router"
version = "0.0.1"
description = "RAG with routing between different domain-specific retrievers"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
xmltodict = "^0.13.0"
kay = "^0.1.2"
wikipedia = "^1.4.0"
a... | langchain/templates/rag-multi-index-router/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-multi-index-router/pyproject.toml",
"repo_id": "langchain",
"token_count": 344
} | 704 |
package httpserver
import "time"
// v2
const (
// --- category ---
CollectionCategory = "/collections/"
EntityCategory = "/entities/"
PartitionCategory = "/partitions/"
UserCategory = "/users/"
RoleCategory = "/roles/"
IndexCategory = "/indexes/"
AliasCategory = "/aliases/"
ImportJ... | milvus/internal/distributed/proxy/httpserver/constant.go/0 | {
"file_path": "milvus/internal/distributed/proxy/httpserver/constant.go",
"repo_id": "milvus",
"token_count": 1733
} | 1,985 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutil/import_wrapper.go/0 | {
"file_path": "milvus/internal/util/importutil/import_wrapper.go",
"repo_id": "milvus",
"token_count": 8231
} | 1,937 |
from llama_index.readers.microsoft_outlook.base import OutlookLocalCalendarReader
__all__ = ["OutlookLocalCalendarReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/llama_index/readers/microsoft_outlook/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/llama_index/readers/microsoft_outlook/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,351 |
# Copyright 2024 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... | diffusers/src/diffusers/utils/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/utils/__init__.py",
"repo_id": "diffusers",
"token_count": 1482
} | 279 |
# order by contributions
reviewers:
- bigsheeper
- czs007
- XuanYang-cn
approvers:
- maintainers
| milvus/configs/OWNERS/0 | {
"file_path": "milvus/configs/OWNERS",
"repo_id": "milvus",
"token_count": 38
} | 1,621 |
"""Select examples based on length."""
import re
from typing import Callable, Dict, List
from langchain_core.example_selectors.base import BaseExampleSelector
from langchain_core.prompts.prompt import PromptTemplate
from langchain_core.pydantic_v1 import BaseModel, validator
def _get_length_based(text: str) -> int:
... | langchain/libs/core/langchain_core/example_selectors/length_based.py/0 | {
"file_path": "langchain/libs/core/langchain_core/example_selectors/length_based.py",
"repo_id": "langchain",
"token_count": 932
} | 422 |
# 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/auto/test_modeling_tf_auto.py/0 | {
"file_path": "transformers/tests/models/auto/test_modeling_tf_auto.py",
"repo_id": "transformers",
"token_count": 5870
} | 783 |
# Auto Merging Retriever Pack
This LlamaPack provides an example of our auto-merging retriever.
This specific template shows the e2e process of building this. It loads
a document, builds a hierarchical node graph (with bigger parent nodes and smaller
child nodes).
Check out the [notebook here](https://github.com/run... | llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/README.md",
"repo_id": "llama_index",
"token_count": 601
} | 1,644 |
# candle-falcon
Falcon is a general large language model.
| candle/candle-examples/examples/falcon/README.md/0 | {
"file_path": "candle/candle-examples/examples/falcon/README.md",
"repo_id": "candle",
"token_count": 17
} | 40 |
from typing import Any, Dict, List, Optional, Type
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_community.llms.openai import OpenAI
from langchain_community.vectorstores.chroma import Chroma
from langchain_core.docume... | langchain/libs/langchain/langchain/indexes/vectorstore.py/0 | {
"file_path": "langchain/libs/langchain/langchain/indexes/vectorstore.py",
"repo_id": "langchain",
"token_count": 1287
} | 511 |
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { BaseLLM } from "@langchain/core/language_models/llms";
import { LLMResult } from "@langchain/core/outputs";
import { loadQAMapReduceChain } from "../question_answering/load.js";
import { loadSummarizationChain }... | langchainjs/langchain/src/chains/tests/combine_docs_chain.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/combine_docs_chain.test.ts",
"repo_id": "langchainjs",
"token_count": 1036
} | 857 |
<jupyter_start><jupyter_text>Fine Tuning Nous-Hermes-2 With Gradient and LlamaIndex<jupyter_code>%pip install llama-index-llms-gradient
%pip install llama-index-finetuning
!pip install llama-index gradientai -q
import os
from llama_index.llms.gradient import GradientBaseModelLLM
from llama_index.finetuning import Gradi... | llama_index/docs/examples/finetuning/gradient/gradient_fine_tuning.ipynb/0 | {
"file_path": "llama_index/docs/examples/finetuning/gradient/gradient_fine_tuning.ipynb",
"repo_id": "llama_index",
"token_count": 828
} | 1,057 |
# Supabase Hybrid Search
Langchain supports hybrid search with a Supabase Postgres database. The hybrid search combines the postgres `pgvector` extension (similarity search) and Full-Text Search (keyword search) to retrieve documents. You can add documents via SupabaseVectorStore `addDocuments` function. SupabaseHybri... | langchainjs/docs/core_docs/docs/integrations/retrievers/supabase-hybrid.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/retrievers/supabase-hybrid.mdx",
"repo_id": "langchainjs",
"token_count": 727
} | 734 |
<jupyter_start><jupyter_text>Multi-agent authoritarian speaker selectionThis notebook showcases how to implement a multi-agent simulation where a privileged agent decides who to speak.This follows the polar opposite selection scheme as [multi-agent decentralized speaker selection](https://python.langchain.com/en/latest... | langchain/cookbook/multiagent_authoritarian.ipynb/0 | {
"file_path": "langchain/cookbook/multiagent_authoritarian.ipynb",
"repo_id": "langchain",
"token_count": 6642
} | 79 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-remote/llama_index/readers/remote/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-remote/llama_index/readers/remote/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,425 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/deit/test_modeling_tf_deit.py/0 | {
"file_path": "transformers/tests/models/deit/test_modeling_tf_deit.py",
"repo_id": "transformers",
"token_count": 4573
} | 710 |
// 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_remote_chunk_manager.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_remote_chunk_manager.cpp",
"repo_id": "milvus",
"token_count": 4000
} | 1,685 |
# candle-stable-lm
StableLM-3B-4E1T is a 3 billion parameter decoder-only language model
pre-trained on 1 trillion tokens of diverse English and code datasets for 4
epochs. See the [HuggingFace Hub Model
Card](https://huggingface.co/stabilityai/stablelm-3b-4e1t).
Note that this model is gated so you will have to requ... | candle/candle-examples/examples/stable-lm/README.md/0 | {
"file_path": "candle/candle-examples/examples/stable-lm/README.md",
"repo_id": "candle",
"token_count": 526
} | 48 |
"""Test functionality related to the docstore objects."""
| langchain/libs/community/tests/unit_tests/docstore/__init__.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/docstore/__init__.py",
"repo_id": "langchain",
"token_count": 12
} | 363 |
import asyncio
from typing import Any, Dict, Generator, List, Union
import pytest
from llama_index.core.schema import (
BaseNode,
IndexNode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.core.vector_stores.types import (
ExactMatchFilter,
FilterOperator,
MetadataFilter... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/tests/test_postgres.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/tests/test_postgres.py",
"repo_id": "llama_index",
"token_count": 6646
} | 1,672 |
"""Test Modal API wrapper."""
from langchain_community.llms.modal import Modal
def test_modal_call() -> None:
"""Test valid call to Modal."""
llm = Modal()
output = llm("Say foo:")
assert isinstance(output, str)
| langchain/libs/community/tests/integration_tests/llms/test_modal.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_modal.py",
"repo_id": "langchain",
"token_count": 86
} | 337 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/common/CDataType.h/0 | {
"file_path": "milvus/internal/core/src/common/CDataType.h",
"repo_id": "milvus",
"token_count": 548
} | 1,652 |
import gc
import unittest
from parameterized import parameterized
from diffusers import FlaxUNet2DConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow
if is_flax_available():
import jax
import jax.numpy as jnp
@slow
@requi... | diffusers/tests/models/unets/test_models_unet_2d_flax.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d_flax.py",
"repo_id": "diffusers",
"token_count": 2141
} | 266 |
<jupyter_start><jupyter_text>The `ObjectIndex` ClassThe `ObjectIndex` class is one that allows for the indexing of arbitrary Python objects. As such, it is quite flexible and applicable to a wide-range of use cases. As examples:- [Use an `ObjectIndex` to index Tool objects to then be used by an agent.](https://docs.lla... | llama_index/docs/examples/objects/object_index.ipynb/0 | {
"file_path": "llama_index/docs/examples/objects/object_index.ipynb",
"repo_id": "llama_index",
"token_count": 1485
} | 1,119 |
# 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/loha/model.py/0 | {
"file_path": "peft/src/peft/tuners/loha/model.py",
"repo_id": "peft",
"token_count": 1824
} | 332 |
# coding=utf-8
# Copyright 2021 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... | transformers/examples/flax/test_flax_examples.py/0 | {
"file_path": "transformers/examples/flax/test_flax_examples.py",
"repo_id": "transformers",
"token_count": 4789
} | 542 |
<!--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 applicable law or agreed... | transformers/docs/source/ko/tasks/video_classification.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/video_classification.md",
"repo_id": "transformers",
"token_count": 13654
} | 508 |
FROM postgres:latest
RUN apt update && \
apt install -y git make gcc postgresql-16-pgvector
| llama_index/llama-index-legacy/tests/initialization/postgres/Dockerfile/0 | {
"file_path": "llama_index/llama-index-legacy/tests/initialization/postgres/Dockerfile",
"repo_id": "llama_index",
"token_count": 34
} | 1,624 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,522 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,674 |
import json
from langchain_community.chat_message_histories import Neo4jChatMessageHistory
from langchain_core.messages import message_to_dict
from langchain.memory import ConversationBufferMemory
def test_memory_with_message_store() -> None:
"""Test the memory with a message store."""
# setup MongoDB as a ... | langchain/libs/langchain/tests/integration_tests/memory/test_neo4j.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/memory/test_neo4j.py",
"repo_id": "langchain",
"token_count": 356
} | 613 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.exa import ExaToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in ExaToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-exa/tests/test_tools_exa.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-exa/tests/test_tools_exa.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,479 |
# Beautiful Soup
>[Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/) is a Python package for parsing
> HTML and XML documents (including having malformed markup, i.e. non-closed tags, so named after tag soup).
> It creates a parse tree for parsed pages that can be used to extract data from HTML,[3] whi... | langchain/docs/docs/integrations/providers/beautiful_soup.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/beautiful_soup.mdx",
"repo_id": "langchain",
"token_count": 173
} | 130 |
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
use anyhow::Result;
use candle_core::{Device, Tensor};
fn main() -> Result<()> {
let device = Device::new_cuda(0)?;
let in_t = Tensor::rand(-1f32, 1f32, (1, 3, 12, 7), &device)?;
let k_t = Tens... | candle/candle-core/examples/cuda_basics.rs/0 | {
"file_path": "candle/candle-core/examples/cuda_basics.rs",
"repo_id": "candle",
"token_count": 463
} | 33 |
import { Document } from "@langchain/core/documents";
import { CallbackManagerForRetrieverRun } from "@langchain/core/callbacks/manager";
import {
BaseRetriever,
type BaseRetrieverInput,
} from "@langchain/core/retrievers";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
/**
* Options for the ... | langchainjs/libs/langchain-community/src/retrievers/tavily_search_api.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/tavily_search_api.ts",
"repo_id": "langchainjs",
"token_count": 1626
} | 978 |
from langchain_community.agent_toolkits import __all__
EXPECTED_ALL = [
"AINetworkToolkit",
"AmadeusToolkit",
"AzureCognitiveServicesToolkit",
"ConneryToolkit",
"FileManagementToolkit",
"GmailToolkit",
"JiraToolkit",
"JsonToolkit",
"MultionToolkit",
"NasaToolkit",
"NLAToolki... | langchain/libs/community/tests/unit_tests/agent_toolkits/test_imports.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/agent_toolkits/test_imports.py",
"repo_id": "langchain",
"token_count": 353
} | 364 |
from llama_index.llms.gemini.base import Gemini
__all__ = ["Gemini"]
| llama_index/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/__init__.py",
"repo_id": "llama_index",
"token_count": 27
} | 1,221 |
# Writing a custom kernel
| candle/candle-book/src/inference/cuda/writing.md/0 | {
"file_path": "candle/candle-book/src/inference/cuda/writing.md",
"repo_id": "candle",
"token_count": 6
} | 25 |
<jupyter_start><jupyter_code># Setup OpenAI Agent
import openai
openai.api_key = "sk-your-key"
from llama_index.agent import OpenAIAgent
from llama_index.tools.arxiv.base import ArxivToolSpec
arxiv_tool = ArxivToolSpec()
agent = OpenAIAgent.from_tools(
arxiv_tool.to_tool_list(),
verbose=True,
)
print(agent.... | llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/examples/arxiv.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/examples/arxiv.ipynb",
"repo_id": "llama_index",
"token_count": 506
} | 1,471 |
variable "project_id" {
type = string
description = "The project id to deploy to"
}
variable "chroma_release" {
description = "The chroma release to deploy"
type = string
default = "0.4.9"
}
variable "zone" {
type = string
default = "us-central1-a"
}
variable "image" {
default ... | chroma/examples/deployments/google-cloud-compute/variables.tf/0 | {
"file_path": "chroma/examples/deployments/google-cloud-compute/variables.tf",
"repo_id": "chroma",
"token_count": 1205
} | 40 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test } from "@jest/globals";
import { NotionAPILoader } from "../web/notionapi.js";
test.skip("Test Notion API Loader Page", async () => {
const loader = new NotionAPILoader({
clientOptions: {
auth: p... | langchainjs/langchain/src/document_loaders/tests/notionapi.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/notionapi.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1197
} | 972 |
/* eslint-disable no-process-env */
import { test } from "@jest/globals";
import weaviate from "weaviate-ts-client";
import { Document } from "@langchain/core/documents";
import { OpenAIEmbeddings, OpenAI } from "@langchain/openai";
import { WeaviateStore } from "@langchain/community/vectorstores/weaviate";
import { At... | langchainjs/langchain/src/retrievers/self_query/tests/weaviate_self_query.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/self_query/tests/weaviate_self_query.int.test.ts",
"repo_id": "langchainjs",
"token_count": 4888
} | 945 |
from llama_index.embeddings.clarifai.base import ClarifaiEmbedding
__all__ = ["ClarifaiEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,191 |
# ResNeSt
A **ResNeSt** is a variant on a [ResNet](https://paperswithcode.com/method/resnet), which instead stacks [Split-Attention blocks](https://paperswithcode.com/method/split-attention). The cardinal group representations are then concatenated along the channel dimension: \\( V = \text{Concat} \\){\\( V^{1},V^{2}... | pytorch-image-models/hfdocs/source/models/resnest.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/resnest.mdx",
"repo_id": "pytorch-image-models",
"token_count": 5466
} | 363 |
from typing import List
from llama_index.core.extractors import (
KeywordExtractor,
QuestionsAnsweredExtractor,
SummaryExtractor,
TitleExtractor,
)
from llama_index.core.ingestion import run_transformations
from llama_index.core.node_parser import SentenceSplitter
from llama_index.core.schema import Do... | llama_index/llama-index-core/tests/node_parser/metadata_extractor.py/0 | {
"file_path": "llama_index/llama-index-core/tests/node_parser/metadata_extractor.py",
"repo_id": "llama_index",
"token_count": 408
} | 1,162 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/query/ScalarIndex.h/0 | {
"file_path": "milvus/internal/core/src/query/ScalarIndex.h",
"repo_id": "milvus",
"token_count": 882
} | 1,742 |
import type { DocumentInterface } from "@langchain/core/documents";
import { BaseDocumentTransformer } from "@langchain/core/documents";
import { Callbacks } from "@langchain/core/callbacks/manager";
/**
* Base Document Compression class. All compressors should extend this class.
*/
export abstract class BaseDocumen... | langchainjs/langchain/src/retrievers/document_compressors/index.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/document_compressors/index.ts",
"repo_id": "langchainjs",
"token_count": 926
} | 958 |
// 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/config/source_test.go/0 | {
"file_path": "milvus/pkg/config/source_test.go",
"repo_id": "milvus",
"token_count": 629
} | 1,891 |
package paramtable
import (
"go.uber.org/zap"
"github.com/milvus-io/milvus/pkg/config"
"github.com/milvus-io/milvus/pkg/log"
)
const hookYamlFile = "hook.yaml"
type hookConfig struct {
hookBase *BaseTable
SoPath ParamItem `refreshable:"false"`
SoConfig ParamGroup `refreshable:"true"`
}
func (h *hookConfi... | milvus/pkg/util/paramtable/hook_config.go/0 | {
"file_path": "milvus/pkg/util/paramtable/hook_config.go",
"repo_id": "milvus",
"token_count": 364
} | 2,064 |
---
sidebar_label: Agent with AWS Lambda
hide_table_of_contents: true
---
# Agent with AWS Lambda Integration
Full docs here: https://docs.aws.amazon.com/lambda/index.html
**AWS Lambda** is a serverless computing service provided by Amazon Web Services (AWS), designed to allow developers to build and run application... | langchainjs/docs/core_docs/docs/integrations/tools/lambda_agent.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/tools/lambda_agent.mdx",
"repo_id": "langchainjs",
"token_count": 840
} | 792 |
# coding=utf-8
# Copyright 2024 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... | diffusers/scripts/change_naming_configs_and_checkpoints.py/0 | {
"file_path": "diffusers/scripts/change_naming_configs_and_checkpoints.py",
"repo_id": "diffusers",
"token_count": 1630
} | 224 |
# SE-ResNeXt
**SE ResNeXt** is a variant of a [ResNext](https://www.paperswithcode.com/method/resneXt) that employs [squeeze-and-excitation blocks](https://paperswithcode.com/method/squeeze-and-excitation-block) to enable the network to perform dynamic channel-wise feature recalibration.
{% include 'code_snippets.md'... | pytorch-image-models/docs/models/.templates/models/seresnext.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/seresnext.md",
"repo_id": "pytorch-image-models",
"token_count": 1929
} | 340 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss_news/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss_news/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,445 |
/* eslint-disable no-process-env */
/* eslint-disable import/no-extraneous-dependencies */
import { test, expect } from "@jest/globals";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { SingleStoreVectorStore } from "../singlestore.js";
test.skip("Sin... | langchainjs/libs/langchain-community/src/vectorstores/tests/singlestore.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/singlestore.int.test.ts",
"repo_id": "langchainjs",
"token_count": 2151
} | 1,021 |
# 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/mobilebert/test_modeling_tf_mobilebert.py/0 | {
"file_path": "transformers/tests/models/mobilebert/test_modeling_tf_mobilebert.py",
"repo_id": "transformers",
"token_count": 7017
} | 775 |
from langchain_community.chat_models.ollama import (
ChatOllama,
)
__all__ = ["ChatOllama"]
| langchain/libs/langchain/langchain/chat_models/ollama.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/ollama.py",
"repo_id": "langchain",
"token_count": 38
} | 472 |
## 🔑 KeywordTableIndex
KeywordTableIndex is a keyword-based table data structure (inspired by "hash tables").
### Index Construction
During index construction, KeywordTableIndex first takes in a dataset of text documents as input, and chunks them up into smaller document chunks. For each text chunk, KeywordTableInd... | llama_index/llama-index-core/llama_index/core/indices/keyword_table/README.md/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/keyword_table/README.md",
"repo_id": "llama_index",
"token_count": 591
} | 1,262 |
"""Chat prompt template."""
from __future__ import annotations
from abc import ABC, abstractmethod
from pathlib import Path
from typing import (
Any,
Dict,
List,
Optional,
Sequence,
Set,
Tuple,
Type,
TypedDict,
TypeVar,
Union,
cast,
overload,
)
from langchain_core.... | langchain/libs/core/langchain_core/prompts/chat.py/0 | {
"file_path": "langchain/libs/core/langchain_core/prompts/chat.py",
"repo_id": "langchain",
"token_count": 14344
} | 435 |
import os
from typing import Union
import pytest
from vcr.request import Request
# Those environment variables turn on Deep Lake pytest mode.
# It significantly makes tests run much faster.
# Need to run before `import deeplake`
os.environ["BUGGER_OFF"] = "true"
os.environ["DEEPLAKE_DOWNLOAD_PATH"] = "./testing/local... | langchain/libs/community/tests/integration_tests/vectorstores/conftest.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/conftest.py",
"repo_id": "langchain",
"token_count": 583
} | 352 |
import { TogetherAI } from "@langchain/community/llms/togetherai";
import { PromptTemplate } from "@langchain/core/prompts";
const model = new TogetherAI({
modelName: "mistralai/Mixtral-8x7B-Instruct-v0.1",
});
const prompt = PromptTemplate.fromTemplate(`System: You are a helpful assistant.
User: {input}.
Assistant:... | langchainjs/examples/src/models/llm/togetherai.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/togetherai.ts",
"repo_id": "langchainjs",
"token_count": 180
} | 856 |
from langchain_community.utilities.apify import ApifyWrapper
__all__ = ["ApifyWrapper"]
| langchain/libs/langchain/langchain/utilities/apify.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/apify.py",
"repo_id": "langchain",
"token_count": 29
} | 560 |
#ifndef CRTP_HPP
#define CRTP_HPP
namespace fluent
{
template <typename T, template <typename> class crtpType>
struct crtp
{
constexpr T& underlying()
{
return static_cast<T&>(*this);
}
constexpr T const& underlying() const
{
return static_cast<T const&>(*this);
}
};
} // name... | milvus/internal/core/thirdparty/NamedType/crtp.hpp/0 | {
"file_path": "milvus/internal/core/thirdparty/NamedType/crtp.hpp",
"repo_id": "milvus",
"token_count": 144
} | 1,677 |
"""
A script creating a RAG checkpoint from a generator and a question encoder checkpoints.
"""
import argparse
from pathlib import Path
from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration
def consolidate(
model_type,
generator_name_or_path: str,
... | transformers/examples/research_projects/rag/consolidate_rag_checkpoint.py/0 | {
"file_path": "transformers/examples/research_projects/rag/consolidate_rag_checkpoint.py",
"repo_id": "transformers",
"token_count": 1425
} | 534 |
# LlamaIndex Readers Integration: Chroma
| llama_index/llama-index-integrations/readers/llama-index-readers-chroma/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chroma/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,346 |
<!--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/training/unconditional_training.md/0 | {
"file_path": "diffusers/docs/source/en/training/unconditional_training.md",
"repo_id": "diffusers",
"token_count": 2949
} | 185 |
# 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/hubconf.py/0 | {
"file_path": "transformers/hubconf.py",
"repo_id": "transformers",
"token_count": 3186
} | 564 |
# coding=utf-8
# Copyright 2019 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... | transformers/tests/utils/test_modeling_tf_core.py/0 | {
"file_path": "transformers/tests/utils/test_modeling_tf_core.py",
"repo_id": "transformers",
"token_count": 9190
} | 774 |
"""Base vector store index query."""
from typing import Any, Dict, List, Optional
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.data_structs.data_s... | llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/retriever.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/retriever.py",
"repo_id": "llama_index",
"token_count": 3281
} | 1,580 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/agent/react/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/react/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,637 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.core.embeddings.pooling import Pooling
from llama_index.core.embeddings.utils import resolv... | llama_index/llama-index-core/llama_index/core/embeddings/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/embeddings/__init__.py",
"repo_id": "llama_index",
"token_count": 171
} | 1,120 |
# 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/mra/convert_mra_pytorch_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/mra/convert_mra_pytorch_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1719
} | 645 |
{
"name": "azure-blob-storage",
"version-string": "1.0.0",
"dependencies": [
"azure-identity-cpp",
"azure-storage-blobs-cpp",
"gtest"
]
}
| milvus/internal/core/src/storage/azure-blob-storage/vcpkg.json/0 | {
"file_path": "milvus/internal/core/src/storage/azure-blob-storage/vcpkg.json",
"repo_id": "milvus",
"token_count": 78
} | 1,946 |
from langchain_community.document_loaders.rst import UnstructuredRSTLoader
__all__ = ["UnstructuredRSTLoader"]
| langchain/libs/langchain/langchain/document_loaders/rst.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/rst.py",
"repo_id": "langchain",
"token_count": 35
} | 524 |
# Copyright 2022 The HuggingFace Team, the AllenNLP library authors. 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
#
... | accelerate/utils/stale.py/0 | {
"file_path": "accelerate/utils/stale.py",
"repo_id": "accelerate",
"token_count": 1012
} | 18 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,234 |
import { useEffect, useMemo, useState } from "react";
import { Message } from "./useChatList";
import { StreamState } from "./useStreamState";
async function getMessages(threadId: string) {
const { messages, resumeable } = await fetch(
`/threads/${threadId}/messages`,
{
headers: {
Accept: "appl... | opengpts/frontend/src/hooks/useChatMessages.ts/0 | {
"file_path": "opengpts/frontend/src/hooks/useChatMessages.ts",
"repo_id": "opengpts",
"token_count": 692
} | 2,023 |
import json
import urllib.request
from typing import List
from langchain_core.documents import Document
from langchain_core.utils import stringify_dict
from langchain_community.document_loaders.base import BaseLoader
SPREEDLY_ENDPOINTS = {
"gateways_options": "https://core.spreedly.com/v1/gateways_options.json",... | langchain/libs/community/langchain_community/document_loaders/spreedly.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/spreedly.py",
"repo_id": "langchain",
"token_count": 816
} | 262 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "tools/wolframalpha",
});
export * from "@langchain/community/tools/wolframalpha";
| langchainjs/langchain/src/tools/wolframalpha.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/wolframalpha.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 959 |
# 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/src/transformers/models/deit/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/deit/__init__.py",
"repo_id": "transformers",
"token_count": 1438
} | 620 |
<!--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/en/add_new_pipeline.md/0 | {
"file_path": "transformers/docs/source/en/add_new_pipeline.md",
"repo_id": "transformers",
"token_count": 3395
} | 472 |
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