text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
---
sidebar_position: 0
---
# Integrations
import DocCardList from "@theme/DocCardList";
<DocCardList />
| langchainjs/docs/core_docs/docs/ecosystem/integrations/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/ecosystem/integrations/index.mdx",
"repo_id": "langchainjs",
"token_count": 37
} | 715 |
from __future__ import annotations
import json
from typing import Any, Dict, List, Literal, Optional, Sequence, Union
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class VespaRetriever(BaseRetriev... | langchain/libs/community/langchain_community/retrievers/vespa_retriever.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/vespa_retriever.py",
"repo_id": "langchain",
"token_count": 2061
} | 278 |
# 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/encoder_decoder/modeling_flax_encoder_decoder.py/0 | {
"file_path": "transformers/src/transformers/models/encoder_decoder/modeling_flax_encoder_decoder.py",
"repo_id": "transformers",
"token_count": 18505
} | 598 |
import { TogetherAI } from "@langchain/community/llms/togetherai";
import { ChatPromptTemplate } from "@langchain/core/prompts";
const model = new TogetherAI({
modelName: "mistralai/Mixtral-8x7B-Instruct-v0.1",
streaming: true,
});
const prompt = ChatPromptTemplate.fromMessages([
["ai", "You are a helpful assist... | langchainjs/examples/src/models/llm/togetherai_stream.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/togetherai_stream.ts",
"repo_id": "langchainjs",
"token_count": 468
} | 845 |
from pathlib import Path
from typing import List
from llama_index.core.indices.composability.graph import ComposableGraph
from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.indices.loading import load_graph_from_storage
from llama_index.core.indices.vector_store.base import VectorStoreIn... | llama_index/llama-index-core/tests/indices/test_loading_graph.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/test_loading_graph.py",
"repo_id": "llama_index",
"token_count": 805
} | 1,233 |
{
"$schema": "https://railway.app/railway.schema.json",
"build": {
"builder": "NIXPACKS"
},
"deploy": {
"startCommand": "uvicorn evaluator_app:app --host 0.0.0.0 --port $PORT",
"restartPolicyType": "ON_FAILURE",
"restartPolicyMaxRetries": 10
}
} | auto-evaluator/api/railway.json/0 | {
"file_path": "auto-evaluator/api/railway.json",
"repo_id": "auto-evaluator",
"token_count": 140
} | 1 |
import time
import pytest
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel
from utils.util_log import test_log as log
class TestDataPersistence(TestcaseBase):
""" Test case of end to end"""
def teardo... | milvus/tests/python_client/chaos/testcases/test_data_persistence.py/0 | {
"file_path": "milvus/tests/python_client/chaos/testcases/test_data_persistence.py",
"repo_id": "milvus",
"token_count": 2240
} | 1,997 |
"""base multi modal retriever."""
from abc import abstractmethod
from typing import List
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.image_retriever import BaseImageRetriever
from llama_index.core.indices.query.schema import QueryType
from llama_index.core.schema import NodeWit... | llama_index/llama-index-core/llama_index/core/base/base_multi_modal_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/base/base_multi_modal_retriever.py",
"repo_id": "llama_index",
"token_count": 697
} | 1,162 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["ChainOfTablePack", "MixSelfConsistencyPack"]
contains_example = false
import_path = "llam... | llama_index/llama-index-packs/llama-index-packs-tables/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/pyproject.toml",
"repo_id": "llama_index",
"token_count": 678
} | 1,823 |
"""
Code to remove duplicate initializers to reduce ONNX model size.
"""
import os
import numpy
import onnx
def _is_equal_tensor_proto(a, b):
name_a = a.name
name_b = b.name
a.name = ""
b.name = ""
res = a == b
a.name = name_a
b.name = name_b
return res
def _node_replace_input_... | transformers/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py/0 | {
"file_path": "transformers/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py",
"repo_id": "transformers",
"token_count": 1732
} | 530 |
# Results
CSV files containing an ImageNet-1K and out-of-distribution (OOD) test set validation results for all models with pretrained weights is located in the repository [results folder](https://github.com/rwightman/pytorch-image-models/tree/master/results).
## Self-trained Weights
The table below includes ImageNe... | pytorch-image-models/docs/results.md/0 | {
"file_path": "pytorch-image-models/docs/results.md",
"repo_id": "pytorch-image-models",
"token_count": 2259
} | 374 |
from llama_index.readers.file.markdown.base import MarkdownReader
__all__ = ["MarkdownReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/markdown/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/markdown/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,402 |
# Metric Card for Mahalanobis Distance
## Metric Description
Mahalonobis distance is the distance between a point and a distribution (as opposed to the distance between two points), making it the multivariate equivalent of the Euclidean distance.
It is often used in multivariate anomaly detection, classification on h... | datasets/metrics/mahalanobis/README.md/0 | {
"file_path": "datasets/metrics/mahalanobis/README.md",
"repo_id": "datasets",
"token_count": 738
} | 130 |
# candle-starcoder: code generation model
[StarCoder/BigCode](https://huggingface.co/bigcode/starcoderbase-1b) is a LLM
model specialized to code generation. The initial model was trained on 80
programming languages.
## Running some example
```bash
cargo run --example bigcode --release -- --prompt "fn fact(n: u64) -... | candle/candle-examples/examples/bigcode/README.md/0 | {
"file_path": "candle/candle-examples/examples/bigcode/README.md",
"repo_id": "candle",
"token_count": 180
} | 40 |
"""OpenAPI spec agent."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_community.agent_toolkits.openapi.prompt import (
OPENAPI_PR... | langchain/libs/community/langchain_community/agent_toolkits/openapi/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/openapi/base.py",
"repo_id": "langchain",
"token_count": 1076
} | 222 |
# coding=utf-8
# Copyright 2024 Optuna, Hugging Face
#
# 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 o... | diffusers/src/diffusers/utils/logging.py/0 | {
"file_path": "diffusers/src/diffusers/utils/logging.py",
"repo_id": "diffusers",
"token_count": 3613
} | 245 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-airtable/llama_index/readers/airtable/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airtable/llama_index/readers/airtable/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,287 |
---
sidebar_position: 3
keywords: [similaritySearchWithScore]
---
# Vector stores
:::info
Head to [Integrations](/docs/integrations/vectorstores) for documentation on built-in integrations with vectorstore providers.
:::
One of the most common ways to store and search over unstructured data is to embed it and store ... | langchainjs/docs/core_docs/docs/modules/data_connection/vectorstores/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/vectorstores/index.mdx",
"repo_id": "langchainjs",
"token_count": 1916
} | 744 |
""" Selective Kernel Convolution/Attention
Paper: Selective Kernel Networks (https://arxiv.org/abs/1903.06586)
Hacked together by / Copyright 2020 Ross Wightman
"""
import torch
from torch import nn as nn
from .conv_bn_act import ConvNormActAa
from .helpers import make_divisible
from .trace_utils import _assert
de... | pytorch-image-models/timm/layers/selective_kernel.py/0 | {
"file_path": "pytorch-image-models/timm/layers/selective_kernel.py",
"repo_id": "pytorch-image-models",
"token_count": 2318
} | 367 |
---
sidebar_label: Anthropic Functions
---
# Anthropic Functions
LangChain offers an experimental wrapper around Anthropic that gives it the same API as OpenAI Functions.
## Setup
First, you'll need to install the popular [`fast-xml-parser`](https://www.npmjs.com/package/fast-xml-parser) package as a peer dependenc... | langchainjs/docs/core_docs/docs/integrations/chat/anthropic_functions.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/anthropic_functions.mdx",
"repo_id": "langchainjs",
"token_count": 376
} | 697 |
# Telemetry
This directory holds all the telemetry for Chroma.
- `product/` contains anonymized product telemetry which we, Chroma, collect so we can
understand usage patterns. For more information, see https://docs.trychroma.com/telemetry.
- `opentelemetry/` contains all of the config for Chroma's [OpenTelemetry](... | chroma/chromadb/telemetry/README.md/0 | {
"file_path": "chroma/chromadb/telemetry/README.md",
"repo_id": "chroma",
"token_count": 154
} | 20 |
# coding=utf-8
# Copyright 2021 Google T5 Authors and 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 requ... | transformers/tests/models/t5/test_modeling_flax_t5.py/0 | {
"file_path": "transformers/tests/models/t5/test_modeling_flax_t5.py",
"repo_id": "transformers",
"token_count": 23884
} | 844 |
"""Integration test for Stack Exchange."""
from langchain_community.utilities import StackExchangeAPIWrapper
def test_call() -> None:
"""Test that call runs."""
stackexchange = StackExchangeAPIWrapper()
output = stackexchange.run("zsh: command not found: python")
assert output != "hello"
def test_fa... | langchain/libs/community/tests/integration_tests/utilities/test_stackexchange.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/utilities/test_stackexchange.py",
"repo_id": "langchain",
"token_count": 267
} | 376 |
import { resolve, dirname } from "node:path";
import { fileURLToPath } from "node:url";
/**
* @param {string} relativePath
* @returns {string}
*/
function abs(relativePath) {
return resolve(dirname(fileURLToPath(import.meta.url)), relativePath);
}
export const config = {
internals: [
/node\:/,
/@langch... | langchainjs/libs/langchain-community/langchain.config.js/0 | {
"file_path": "langchainjs/libs/langchain-community/langchain.config.js",
"repo_id": "langchainjs",
"token_count": 5630
} | 1,047 |
"""Chain that just formats a prompt and calls an LLM."""
from __future__ import annotations
import warnings
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union, cast
from langchain_core.callbacks import (
AsyncCallbackManager,
AsyncCallbackManagerForChainRun,
CallbackManager,
Callback... | langchain/libs/langchain/langchain/chains/llm.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/llm.py",
"repo_id": "langchain",
"token_count": 6492
} | 485 |
# 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/align/convert_align_tf_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/align/convert_align_tf_to_hf.py",
"repo_id": "transformers",
"token_count": 7038
} | 579 |
from langchain_community.llms.pai_eas_endpoint import PaiEasEndpoint
__all__ = ["PaiEasEndpoint"]
| langchain/libs/langchain/langchain/llms/pai_eas_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/pai_eas_endpoint.py",
"repo_id": "langchain",
"token_count": 36
} | 550 |
<!--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/ja/perplexity.md/0 | {
"file_path": "transformers/docs/source/ja/perplexity.md",
"repo_id": "transformers",
"token_count": 4040
} | 487 |
<!--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/task_summary.md/0 | {
"file_path": "transformers/docs/source/en/task_summary.md",
"repo_id": "transformers",
"token_count": 5682
} | 473 |
import argparse
import logging
import sys
from unittest.mock import patch
import run_glue_with_pabee
from transformers.testing_utils import TestCasePlus
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger()
def get_setup_file():
parser = argparse.ArgumentParser()
parser.add_argument("-f")... | transformers/examples/research_projects/bert-loses-patience/test_run_glue_with_pabee.py/0 | {
"file_path": "transformers/examples/research_projects/bert-loses-patience/test_run_glue_with_pabee.py",
"repo_id": "transformers",
"token_count": 672
} | 568 |
import { PromptTemplate } from "@langchain/core/prompts";
const QA_TEMPLATE = `You are a teacher grading a quiz.
You are given a question, the student's answer, and the true answer, and are asked to score the student answer as either CORRECT or INCORRECT.
Example Format:
QUESTION: question here
STUDENT ANSWER: studen... | langchainjs/langchain/src/evaluation/qa/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/evaluation/qa/prompt.ts",
"repo_id": "langchainjs",
"token_count": 531
} | 920 |
from typing import List
import pytest
from llama_index.legacy.readers.schema.base import Document
from llama_index.legacy.schema import BaseNode
from llama_index.legacy.storage.docstore.redis_docstore import RedisDocumentStore
from llama_index.legacy.storage.kvstore.redis_kvstore import RedisKVStore
try:
from red... | llama_index/llama-index-legacy/tests/storage/docstore/test_redis_docstore.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/docstore/test_redis_docstore.py",
"repo_id": "llama_index",
"token_count": 1144
} | 1,567 |
from typing import Optional, Sequence, Any, Tuple, cast, Dict, Union, Set
from uuid import UUID
from overrides import override
from pypika import Table, Column
from itertools import groupby
from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT, System
from chromadb.db.base import (
Cursor,
SqlDB,
Pa... | chroma/chromadb/db/mixins/sysdb.py/0 | {
"file_path": "chroma/chromadb/db/mixins/sysdb.py",
"repo_id": "chroma",
"token_count": 14433
} | 14 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-airtable/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airtable/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,374 |
# coding=utf-8
# Copyright 2023 The Salesforce Team 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/licens... | transformers/src/transformers/models/blip/modeling_tf_blip.py/0 | {
"file_path": "transformers/src/transformers/models/blip/modeling_tf_blip.py",
"repo_id": "transformers",
"token_count": 30642
} | 574 |
""" VoVNet (V1 & V2)
Papers:
* `An Energy and GPU-Computation Efficient Backbone Network` - https://arxiv.org/abs/1904.09730
* `CenterMask : Real-Time Anchor-Free Instance Segmentation` - https://arxiv.org/abs/1911.06667
Looked at https://github.com/youngwanLEE/vovnet-detectron2 &
https://github.com/stigma0617/VoVNe... | pytorch-image-models/timm/models/vovnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/vovnet.py",
"repo_id": "pytorch-image-models",
"token_count": 7769
} | 370 |
import { describe, expect, it } from "vitest";
import { isMessageId } from "./isMessageId";
describe("isMessageId", () => {
it("should return true for a valid message id", () => {
expect(isMessageId(crypto.randomUUID())).toBe(true);
});
it("should return false for an invalid message id", () => {
expect(isMessag... | chat-ui/src/lib/utils/tree/isMessageId.spec.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/isMessageId.spec.ts",
"repo_id": "chat-ui",
"token_count": 163
} | 100 |
from langchain_community.utilities import __all__
EXPECTED_ALL = [
"AlphaVantageAPIWrapper",
"ApifyWrapper",
"ArceeWrapper",
"ArxivAPIWrapper",
"BibtexparserWrapper",
"BingSearchAPIWrapper",
"BraveSearchWrapper",
"DuckDuckGoSearchAPIWrapper",
"GoldenQueryAPIWrapper",
"GoogleFina... | langchain/libs/community/tests/unit_tests/utilities/test_imports.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utilities/test_imports.py",
"repo_id": "langchain",
"token_count": 626
} | 387 |
#include "q_matrix.cuh"
#include "matrix_view.cuh"
#include "util.cuh"
#include "quant/qdq_2.cuh"
#include "quant/qdq_3.cuh"
#include "quant/qdq_4.cuh"
#include "quant/qdq_5.cuh"
#include "quant/qdq_6.cuh"
#include "quant/qdq_8.cuh"
#define BLOCK_KN_SIZE 128
#define THREADS_X 32
#define THREADS_Y 32
// Shuffle quan... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cu/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cu",
"repo_id": "text-generation-inference",
"token_count": 10524
} | 436 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-database/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-database/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,305 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import type { ToolInterface } from "@langchain/core/tools";
import {
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
} from "@langchain/core/prompts";
import type { AgentStep } from "@langchain/cor... | langchainjs/langchain/src/agents/chat/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/chat/index.ts",
"repo_id": "langchainjs",
"token_count": 1865
} | 912 |
# Copyright 2024 Kakao Brain 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/LICENSE-2.0
#
# Unless requi... | diffusers/src/diffusers/pipelines/unclip/pipeline_unclip_image_variation.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unclip/pipeline_unclip_image_variation.py",
"repo_id": "diffusers",
"token_count": 8369
} | 258 |
# 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/vit/test_modeling_flax_vit.py/0 | {
"file_path": "transformers/tests/models/vit/test_modeling_flax_vit.py",
"repo_id": "transformers",
"token_count": 3243
} | 821 |
from typing import Dict, Type
from llama_index.legacy.vector_stores.chroma import ChromaVectorStore
from llama_index.legacy.vector_stores.lantern import LanternVectorStore
from llama_index.legacy.vector_stores.pinecone import PineconeVectorStore
from llama_index.legacy.vector_stores.postgres import PGVectorStore
from ... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/loading.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/loading.py",
"repo_id": "llama_index",
"token_count": 881
} | 1,611 |
from langchain_community.document_loaders.evernote import EverNoteLoader
__all__ = ["EverNoteLoader"]
| langchain/libs/langchain/langchain/document_loaders/evernote.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/evernote.py",
"repo_id": "langchain",
"token_count": 30
} | 480 |
---
sidebar_class_name: hidden
---
# OpenAI Assistant
:::info
The [OpenAI Assistant API](https://platform.openai.com/docs/assistants/overview) is still in beta.
:::
OpenAI released a new API for a conversational agent like system called Assistant.
You can interact with OpenAI Assistants using OpenAI tools or custom... | langchainjs/docs/core_docs/docs/modules/agents/agent_types/openai_assistant.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/agent_types/openai_assistant.mdx",
"repo_id": "langchainjs",
"token_count": 4265
} | 724 |
# Overview
Welcome to the 🤗 Datasets tutorials! These beginner-friendly tutorials will guide you through the fundamentals of working with 🤗 Datasets. You'll load and prepare a dataset for training with your machine learning framework of choice. Along the way, you'll learn how to load different dataset configurations... | datasets/docs/source/tutorial.md/0 | {
"file_path": "datasets/docs/source/tutorial.md",
"repo_id": "datasets",
"token_count": 311
} | 113 |
"""Agent for working with xorbits objects."""
from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.callbacks.base import BaseCallbackManager
from langchain.chains.llm import LLMChain
from langchain_core.languag... | langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/xorbits/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/agents/agent_toolkits/xorbits/base.py",
"repo_id": "langchain",
"token_count": 1310
} | 436 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/interceptor/cluster_interceptor.go/0 | {
"file_path": "milvus/pkg/util/interceptor/cluster_interceptor.go",
"repo_id": "milvus",
"token_count": 1185
} | 2,059 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_text2text_generation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_text2text_generation.py",
"repo_id": "transformers",
"token_count": 2111
} | 750 |
# Loading Data
The key to data ingestion in LlamaIndex is loading and transformations. Once you have loaded Documents, you can process them via transformations and output Nodes.
Once you have [learned about the basics of loading data](/understanding/loading/loading.html) in our Understanding section, you can read on ... | llama_index/docs/module_guides/loading/loading.md/0 | {
"file_path": "llama_index/docs/module_guides/loading/loading.md",
"repo_id": "llama_index",
"token_count": 372
} | 1,145 |
# Jina
This page covers how to use the Jina Embeddings within LangChain.
It is broken into two parts: installation and setup, and then references to specific Jina wrappers.
## Installation and Setup
- Get a Jina AI API token from [here](https://jina.ai/embeddings/) and set it as an environment variable (`JINA_API_TOK... | langchain/docs/docs/integrations/providers/jina.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/jina.mdx",
"repo_id": "langchain",
"token_count": 263
} | 143 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/meta_cache_adapter.go/0 | {
"file_path": "milvus/internal/proxy/meta_cache_adapter.go",
"repo_id": "milvus",
"token_count": 986
} | 1,961 |
# coding=utf-8
# Copyright 2020 The HuggingFace Datasets 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 app... | datasets/metrics/mauve/mauve.py/0 | {
"file_path": "datasets/metrics/mauve/mauve.py",
"repo_id": "datasets",
"token_count": 2588
} | 132 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.mangoapps_guides import MangoppsGuidesReader
def test_class():
names_of_base_classes = [b.__name__ for b in MangoppsGuidesReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/tests/test_readers_mangoapps_guides.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/tests/test_readers_mangoapps_guides.py",
"repo_id": "llama_index",
"token_count": 98
} | 1,379 |
<jupyter_start><jupyter_text>Bing Search>[Microsoft Bing](https://www.bing.com/), commonly referred to as `Bing` or `Bing Search`, is a web search engine owned and operated by `Microsoft`. This notebook goes over how to use the bing search component.First, you need to set up the proper API keys and environment variable... | langchain/docs/docs/integrations/tools/bing_search.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/bing_search.ipynb",
"repo_id": "langchain",
"token_count": 405
} | 178 |
import { test } from "@jest/globals";
import { IMSDBLoader } from "../web/imsdb.js";
test("Test IMSDB loader", async () => {
const loader = new IMSDBLoader(
"https://imsdb.com/scripts/BlacKkKlansman.html"
);
await loader.load();
});
| langchainjs/langchain/src/document_loaders/tests/imsdb.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/imsdb.test.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 921 |
import { test, jest, expect } from "@jest/globals";
import LambdaClient from "@aws-sdk/client-lambda";
import { AWSLambda } from "../aws_lambda.js";
jest.mock("@aws-sdk/client-lambda", () => ({
LambdaClient: jest.fn().mockImplementation(() => ({
send: jest.fn().mockImplementation(() =>
Promise.resolve({
... | langchainjs/libs/langchain-community/src/tools/tests/aws_lambda.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/tests/aws_lambda.test.ts",
"repo_id": "langchainjs",
"token_count": 425
} | 988 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,344 |
import { test, expect } from "@jest/globals";
import {
OutputParserException,
CommaSeparatedListOutputParser,
CustomListOutputParser,
} from "@langchain/core/output_parsers";
test("CommaSeparatedListOutputParser", async () => {
const parser = new CommaSeparatedListOutputParser();
expect(await parser.parse(... | langchainjs/langchain/src/output_parsers/tests/list.test.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/tests/list.test.ts",
"repo_id": "langchainjs",
"token_count": 472
} | 899 |
from typing import Any, Dict, List
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, root_validator
class GPT4AllEmbeddings(BaseModel, Embeddings):
"""GPT4All embedding models.
To use, you should have the gpt4all python package installed
Example:
... | langchain/libs/community/langchain_community/embeddings/gpt4all.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/gpt4all.py",
"repo_id": "langchain",
"token_count": 728
} | 256 |
"""Init params."""
| llama_index/llama-index-legacy/llama_index/legacy/readers/make_com/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/make_com/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,594 |
from __future__ import annotations
from abc import ABC
from enum import Enum
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
... | langchain/libs/community/langchain_community/llms/oci_generative_ai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/oci_generative_ai.py",
"repo_id": "langchain",
"token_count": 4229
} | 266 |
// 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/mq/mqimpl/rocksmq/server/rmq_id.go/0 | {
"file_path": "milvus/internal/mq/mqimpl/rocksmq/server/rmq_id.go",
"repo_id": "milvus",
"token_count": 630
} | 1,804 |
#ifndef _qdq_2_cuh
#define _qdq_2_cuh
#include "qdq_util.cuh"
#include "../../config.h"
#if QMODE_2BIT == 1
// Permutation:
//
// ffddbb99 77553311 eeccaa88 66442200
__forceinline__ __device__ void shuffle_2bit_16
(
uint32_t* q,
int stride
)
{
uint32_t qa = q[0];
uint32_t qb = 0;
#pragma unrol... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_2.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_2.cuh",
"repo_id": "text-generation-inference",
"token_count": 1588
} | 409 |
<jupyter_start><jupyter_text>Pandas DataframeThis notebook shows how to use agents to interact with a `Pandas DataFrame`. It is mostly optimized for question answering.**NOTE: this agent calls the `Python` agent under the hood, which executes LLM generated Python code - this can be bad if the LLM generated Python code ... | langchain/docs/docs/integrations/toolkits/pandas.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/pandas.ipynb",
"repo_id": "langchain",
"token_count": 1132
} | 182 |
# LlamaIndex Llms Integration: Anyscale
| llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,290 |
from typing import Any, Callable, Dict, Optional, Tuple
import httpx
from openai.lib.azure import AsyncAzureOpenAI
from openai.lib.azure import AzureOpenAI as SyncAzureOpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.leg... | llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/azure_openai.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/azure_openai.py",
"repo_id": "llama_index",
"token_count": 2660
} | 1,577 |
import os
from importlib.util import find_spec
from typing import List
import pytest
from llama_index.legacy.schema import TextNode
from llama_index.legacy.vector_stores import UpstashVectorStore
from llama_index.legacy.vector_stores.types import VectorStoreQuery
try:
find_spec("upstash-vector")
if os.environ... | llama_index/llama-index-legacy/tests/vector_stores/test_upstash.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/vector_stores/test_upstash.py",
"repo_id": "llama_index",
"token_count": 851
} | 1,766 |
<jupyter_start><jupyter_text>SnowflakeThis notebooks goes over how to load documents from Snowflake<jupyter_code>%pip install --upgrade --quiet snowflake-connector-python
import settings as s
from langchain_community.document_loaders import SnowflakeLoader
QUERY = "select text, survey_id from CLOUD_DATA_SOLUTIONS.HAPP... | langchain/docs/docs/integrations/document_loaders/snowflake.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/snowflake.ipynb",
"repo_id": "langchain",
"token_count": 530
} | 110 |
// 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/local_worker_test.go/0 | {
"file_path": "milvus/internal/querynodev2/local_worker_test.go",
"repo_id": "milvus",
"token_count": 1889
} | 1,765 |
/* eslint-disable @typescript-eslint/no-empty-function */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { BPE, Unigram, WordPiece } from '../../'
const MOCKS_DIR = __dirname + '/__mocks__'
describe('WordPiece', () => {
describe('fromFile', () => {
it('throws if called with only one argument', ... | tokenizers/bindings/node/lib/bindings/models.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/models.test.ts",
"repo_id": "tokenizers",
"token_count": 818
} | 412 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/tensorflow/language-modeling/README.md/0 | {
"file_path": "transformers/examples/tensorflow/language-modeling/README.md",
"repo_id": "transformers",
"token_count": 842
} | 583 |
package metastore
import (
"context"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/internal/metastore/model"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/internal/proto/querypb"
"github... | milvus/internal/metastore/catalog.go/0 | {
"file_path": "milvus/internal/metastore/catalog.go",
"repo_id": "milvus",
"token_count": 2530
} | 1,995 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/en/performance.md/0 | {
"file_path": "transformers/docs/source/en/performance.md",
"repo_id": "transformers",
"token_count": 966
} | 495 |
import unittest
import pytest
from langchain_community.document_loaders.parsers.language.ruby import RubySegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestRubySegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """def foo
i = 0
end
module M
def... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_ruby.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_ruby.py",
"repo_id": "langchain",
"token_count": 574
} | 397 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_inpaint.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_inpaint.py",
"repo_id": "diffusers",
"token_count": 12786
} | 260 |
from typing import Union
COMPLETE_MODELS = {"j2-light": 8191, "j2-mid": 8191, "j2-ultra": 8191}
def ai21_model_to_context_size(model: str) -> Union[int, None]:
"""Calculate the maximum number of tokens possible to generate for a model.
Args:
model: The modelname we want to know the context size for.... | llama_index/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/utils.py",
"repo_id": "llama_index",
"token_count": 211
} | 1,274 |
from langchain_community.document_loaders.recursive_url_loader import (
RecursiveUrlLoader,
)
__all__ = ["RecursiveUrlLoader"]
| langchain/libs/langchain/langchain/document_loaders/recursive_url_loader.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/recursive_url_loader.py",
"repo_id": "langchain",
"token_count": 43
} | 514 |
# EfficientNet (Knapsack Pruned)
**EfficientNet** is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a *compound coefficient*. Unlike conventional practice that arbitrary scales these factors, the EfficientNet scaling method uniformly... | pytorch-image-models/docs/models/.templates/models/efficientnet-pruned.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/efficientnet-pruned.md",
"repo_id": "pytorch-image-models",
"token_count": 1945
} | 359 |
import { NIBittensorChatModel } from "langchain/experimental/chat_models/bittensor";
import { HumanMessage } from "@langchain/core/messages";
const chat = new NIBittensorChatModel();
const message = new HumanMessage("What is bittensor?");
const res = await chat.call([message]);
console.log({ res });
/*
{
res: "\... | langchainjs/examples/src/models/chat/integration_bittensor.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_bittensor.ts",
"repo_id": "langchainjs",
"token_count": 114
} | 834 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# PlanetScale Chat Memory
Because PlanetScale works via a REST API, you can use this with [Vercel Edge](https://vercel.com/docs/concepts/functions/edge-functions/edge-runtime), [Cloudflare Workers](https://developers.cloudflare.com/worker... | langchainjs/docs/core_docs/docs/integrations/chat_memory/planetscale.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat_memory/planetscale.mdx",
"repo_id": "langchainjs",
"token_count": 512
} | 725 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/maskformer/convert_maskformer_resnet_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/maskformer/convert_maskformer_resnet_to_pytorch.py",
"repo_id": "transformers",
"token_count": 9461
} | 629 |
"""Test document summary index."""
from typing import List
import pytest
from llama_index.core.indices.document_summary.base import DocumentSummaryIndex
from llama_index.core.schema import Document
def test_build_index(
docs: List[Document],
index: DocumentSummaryIndex,
) -> None:
"""Test build tree."""
... | llama_index/llama-index-core/tests/indices/document_summary/test_index.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/document_summary/test_index.py",
"repo_id": "llama_index",
"token_count": 787
} | 1,228 |
// 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/streamrpc/in_memory_streamer_test.go/0 | {
"file_path": "milvus/internal/util/streamrpc/in_memory_streamer_test.go",
"repo_id": "milvus",
"token_count": 791
} | 1,803 |
python_sources()
| llama_index/llama-index-core/llama_index/core/postprocessor/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/postprocessor/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,204 |
"""Simple vector store index."""
import json
import logging
import os
from dataclasses import dataclass, field
from typing import Any, Callable, Dict, List, Mapping, Optional, cast
import fsspec
from dataclasses_json import DataClassJsonMixin
from llama_index.core.indices.query.embedding_utils import (
get_top_k_... | llama_index/llama-index-core/llama_index/core/vector_stores/simple.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/vector_stores/simple.py",
"repo_id": "llama_index",
"token_count": 5221
} | 1,255 |
"""Test __ModuleName__LLM llm."""
from __module_name__.llms import __ModuleName__LLM
def test_stream() -> None:
"""Test streaming tokens from OpenAI."""
llm = __ModuleName__LLM()
for token in llm.stream("I'm Pickle Rick"):
assert isinstance(token, str)
async def test_astream() -> None:
"""T... | langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_llms.py/0 | {
"file_path": "langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_llms.py",
"repo_id": "langchain",
"token_count": 657
} | 203 |
package io
import (
"path"
"testing"
"github.com/samber/lo"
"github.com/stretchr/testify/suite"
"golang.org/x/net/context"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/util/conc"
)
const binlogIOTestDir = "/tmp/milvus_test/binlog_io"
func TestBinlogIO(t *testing.T) {
suit... | milvus/internal/datanode/io/binlog_io_test.go/0 | {
"file_path": "milvus/internal/datanode/io/binlog_io_test.go",
"repo_id": "milvus",
"token_count": 713
} | 1,786 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.lilac import LilacReader
def test_class():
names_of_base_classes = [b.__name__ for b in LilacReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-lilac/tests/test_readers_lilac_reader.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-lilac/tests/test_readers_lilac_reader.py",
"repo_id": "llama_index",
"token_count": 89
} | 1,470 |
List Retriever
=======================
.. automodule:: llama_index.core.indices.list.retrievers
:members:
:inherited-members:
.. :exclude-members: index_struct, query, set_llm_predictor, set_prompt_helper
| llama_index/docs/api_reference/query/retrievers/list.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/retrievers/list.rst",
"repo_id": "llama_index",
"token_count": 80
} | 1,081 |
# Additional Readings
These are **optional readings** if you want to go deeper.
## Introduction to Policy Optimization
- [Part 3: Intro to Policy Optimization - Spinning Up documentation](https://spinningup.openai.com/en/latest/spinningup/rl_intro3.html)
## Policy Gradient
- [https://johnwlambert.github.io/polic... | deep-rl-class/units/en/unit4/additional-readings.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit4/additional-readings.mdx",
"repo_id": "deep-rl-class",
"token_count": 281
} | 159 |
from enum import Enum
from typing import Dict, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Field, root_validator
from langchain_core.retrievers i... | langchain/libs/langchain/langchain/retrievers/multi_vector.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/multi_vector.py",
"repo_id": "langchain",
"token_count": 1567
} | 559 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | transformers/src/transformers/models/bert/modeling_bert.py/0 | {
"file_path": "transformers/src/transformers/models/bert/modeling_bert.py",
"repo_id": "transformers",
"token_count": 35978
} | 568 |
from enum import Enum
from typing import List, Union
import numpy as np
Matrix = Union[List[List[float]], List[np.ndarray], np.ndarray]
class DistanceStrategy(str, Enum):
"""Enumerator of the Distance strategies for calculating distances
between vectors."""
EUCLIDEAN_DISTANCE = "EUCLIDEAN_DISTANCE"
... | langchain/libs/partners/pinecone/langchain_pinecone/_utilities.py/0 | {
"file_path": "langchain/libs/partners/pinecone/langchain_pinecone/_utilities.py",
"repo_id": "langchain",
"token_count": 1267
} | 656 |
# 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/src/transformers/trainer_seq2seq.py/0 | {
"file_path": "transformers/src/transformers/trainer_seq2seq.py",
"repo_id": "transformers",
"token_count": 6769
} | 693 |
from typing import List, Literal
from langchain_core.messages.base import BaseMessage, BaseMessageChunk
class SystemMessage(BaseMessage):
"""Message for priming AI behavior, usually passed in as the first of a sequence
of input messages.
"""
type: Literal["system"] = "system"
@classmethod
d... | langchain/libs/core/langchain_core/messages/system.py/0 | {
"file_path": "langchain/libs/core/langchain_core/messages/system.py",
"repo_id": "langchain",
"token_count": 342
} | 402 |
import pytest
from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
"split_dict",
[
SplitDict(),
SplitDict({"train": SplitInfo(name="train", num_bytes=1337, num_examples=42, dataset_name="my_dataset")}),
SplitDict({"train... | datasets/tests/test_splits.py/0 | {
"file_path": "datasets/tests/test_splits.py",
"repo_id": "datasets",
"token_count": 622
} | 152 |
"""Init file."""
from llama_index.readers.file.xml.base import (
XMLReader,
)
__all__ = ["XMLReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/xml/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/xml/__init__.py",
"repo_id": "llama_index",
"token_count": 44
} | 1,495 |
<!--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/nystromformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nystromformer.md",
"repo_id": "transformers",
"token_count": 907
} | 513 |
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