text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import SendIcon from "../assets/SendIcon.svg?react";
import { cn } from "../utils/cn";
export function SubmitButton(props: {
disabled: boolean;
isLoading?: boolean;
onSubmit: () => void;
}) {
return (
<button
type="button"
className={cn(
"px-4 py-3 gap-3 font-medium border border-transp... | langserve/langserve/playground/src/components/SubmitButton.tsx/0 | {
"file_path": "langserve/langserve/playground/src/components/SubmitButton.tsx",
"repo_id": "langserve",
"token_count": 1240
} | 1,002 |
python_sources()
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/llama_index/storage/kvstore/postgres/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/llama_index/storage/kvstore/postgres/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,410 |
from langchain_community.vectorstores.chroma import (
Chroma,
)
__all__ = ["Chroma"]
| langchain/libs/langchain/langchain/vectorstores/chroma.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/chroma.py",
"repo_id": "langchain",
"token_count": 33
} | 580 |
# 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/vivit/image_processing_vivit.py/0 | {
"file_path": "transformers/src/transformers/models/vivit/image_processing_vivit.py",
"repo_id": "transformers",
"token_count": 8101
} | 688 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,357 |
# Timescale Vector AutoRetrieval Pack With Hybrid Search on Time
This pack demonstrates performing auto-retrieval for hybrid search based on both similarity and time, using the timescale-vector (PostgreSQL) vectorstore.
This sort of time-based retrieval is particularly effective for data where time is a key element of... | llama_index/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/README.md",
"repo_id": "llama_index",
"token_count": 1910
} | 1,824 |
from llama_index.readers.airbyte_hubspot.base import AirbyteHubspotReader
__all__ = ["AirbyteHubspotReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/llama_index/readers/airbyte_hubspot/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/llama_index/readers/airbyte_hubspot/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,333 |
Collections:
-
testcase:
name: test_querynode_network_latency
chaos: chaos_querynode_network_latency.yaml
expectation:
cluster_1_node:
search: fail
query: fail
cluster_n_nodes:
search: degrade
query: degrade
-
testcase:
... | milvus/tests/python_client/chaos/chaos_objects/network_latency/testcases.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_latency/testcases.yaml",
"repo_id": "milvus",
"token_count": 1549
} | 1,886 |
<!--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/optimization/opt_overview.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/opt_overview.md",
"repo_id": "diffusers",
"token_count": 353
} | 185 |
package model
import (
"github.com/golang/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus/internal/proto/indexpb"
)
type Index struct {
TenantID string
CollectionID int64
FieldID int64
IndexID int64
IndexName string
IsDelete... | milvus/internal/metastore/model/index.go/0 | {
"file_path": "milvus/internal/metastore/model/index.go",
"repo_id": "milvus",
"token_count": 1615
} | 1,811 |
from llama_index.packs.dense_x_retrieval.base import DenseXRetrievalPack
__all__ = ["DenseXRetrievalPack"]
| llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/llama_index/packs/dense_x_retrieval/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/llama_index/packs/dense_x_retrieval/__init__.py",
"repo_id": "llama_index",
"token_count": 42
} | 1,652 |
""" Median Pool
Hacked together by / Copyright 2020 Ross Wightman
"""
import torch.nn as nn
import torch.nn.functional as F
from .helpers import to_2tuple, to_4tuple
class MedianPool2d(nn.Module):
""" Median pool (usable as median filter when stride=1) module.
Args:
kernel_size: size of pooling kern... | pytorch-image-models/timm/layers/median_pool.py/0 | {
"file_path": "pytorch-image-models/timm/layers/median_pool.py",
"repo_id": "pytorch-image-models",
"token_count": 883
} | 355 |
import path from "path";
import fs from "fs/promises";
import os from "os";
import { copy } from "./copy";
/**
* Install a internal template to a given `root` directory.
*/
export async function installTemplate({ appName, root }: any) {
/**
* Copy the template files to the target directory.
*/
const templ... | langchainjs/libs/create-langchain-integration/helpers/templates.ts/0 | {
"file_path": "langchainjs/libs/create-langchain-integration/helpers/templates.ts",
"repo_id": "langchainjs",
"token_count": 357
} | 940 |
"""Init file."""
from llama_index.legacy.query_engine.pandas.output_parser import PandasInstructionParser
from llama_index.legacy.query_engine.pandas.pandas_query_engine import PandasQueryEngine
__all__ = ["PandasInstructionParser", "PandasQueryEngine"]
| llama_index/llama-index-legacy/llama_index/legacy/query_engine/pandas/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/query_engine/pandas/__init__.py",
"repo_id": "llama_index",
"token_count": 83
} | 1,589 |
import gc
import os
import sys
import threading
import numpy as np
import psutil
import torch
from accelerate import Accelerator
from datasets import load_dataset
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, get_linear_schedule_with_warmup... | peft/examples/conditional_generation/peft_lora_seq2seq_accelerate_ds_zero3_offload.py/0 | {
"file_path": "peft/examples/conditional_generation/peft_lora_seq2seq_accelerate_ds_zero3_offload.py",
"repo_id": "peft",
"token_count": 5688
} | 340 |
import torch
import torch.distributed
from opentelemetry import trace
from transformers import AutoTokenizer, AutoConfig
from typing import Optional
from text_generation_server.models import FlashCausalLM
from text_generation_server.models.custom_modeling.flash_neox_modeling import (
FlashGPTNeoXForCausalLM,
)
fr... | text-generation-inference/server/text_generation_server/models/flash_neox.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/flash_neox.py",
"repo_id": "text-generation-inference",
"token_count": 1048
} | 386 |
# Copied logic from https://github.com/mit-han-lab/llm-awq/blob/f084f40bd996f3cf3a0633c1ad7d9d476c318aaa/awq/quantize/qmodule.py
import math
import torch
import torch.nn as nn
import awq_inference_engine # with CUDA kernels
# class ScaledActivation(nn.Module):
# def __init__(self, module, scales):
# sup... | text-generation-inference/server/text_generation_server/utils/awq/quantize/qmodule.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/awq/quantize/qmodule.py",
"repo_id": "text-generation-inference",
"token_count": 770
} | 388 |
// 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_utils/Timer.h/0 | {
"file_path": "milvus/internal/core/unittest/test_utils/Timer.h",
"repo_id": "milvus",
"token_count": 484
} | 1,787 |
// 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/importutilv2/option.go/0 | {
"file_path": "milvus/internal/util/importutilv2/option.go",
"repo_id": "milvus",
"token_count": 811
} | 1,883 |
# Defining and Customizing Nodes
Nodes represent "chunks" of source Documents, whether that is a text chunk, an image, or more. They also contain metadata and relationship information
with other nodes and index structures.
Nodes are a first-class citizen in LlamaIndex. You can choose to define Nodes and all its attri... | llama_index/docs/module_guides/loading/documents_and_nodes/usage_nodes.md/0 | {
"file_path": "llama_index/docs/module_guides/loading/documents_and_nodes/usage_nodes.md",
"repo_id": "llama_index",
"token_count": 540
} | 1,227 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { HumanMessage } from "@langchain/core/messages";
import { BedrockChat } from "../bedrock/web.js";
// void testChatModel(
// "Test Bedrock chat model: Llama2 13B v1"... | langchainjs/libs/langchain-community/src/chat_models/tests/chatbedrock.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/tests/chatbedrock.int.test.ts",
"repo_id": "langchainjs",
"token_count": 2054
} | 983 |
# 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/onnx/__main__.py/0 | {
"file_path": "transformers/src/transformers/onnx/__main__.py",
"repo_id": "transformers",
"token_count": 3988
} | 680 |
import { ChatPromptTemplate } from "../../prompts/chat.js";
import { RunnableSequence } from "../../runnables/base.js";
import { RunnablePassthrough } from "../../runnables/passthrough.js";
import { FakeStreamingLLM } from "../../utils/testing/index.js";
import { JsonOutputParser } from "../json.js";
const STREAMED_TO... | langchainjs/langchain-core/src/output_parsers/tests/json.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/output_parsers/tests/json.test.ts",
"repo_id": "langchainjs",
"token_count": 4265
} | 864 |
<jupyter_start><jupyter_text>Semi-structured Image RetrievalIn this notebook we show you how to perform semi-structured retrieval over images.Given a set of images, we can infer structured outputs from them using Gemini Pro Vision.We can then index these structured outputs in a vector database. We then take full advant... | llama_index/docs/examples/multi_modal/structured_image_retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/multi_modal/structured_image_retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 3533
} | 1,133 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "retrievers/metal",
});
export * from "@langchain/community/retrievers/metal";
| langchainjs/langchain/src/retrievers/metal.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/metal.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 943 |
# Required Environment Variables: OPENAI_API_KEY
# Required TavilyAI API KEY for web searches - https://tavily.com/
from llama_index.core import SimpleDirectoryReader
from llama_index.core.llama_pack import download_llama_pack
# download and install dependencies
CorrectiveRAGPack = download_llama_pack("CorrectiveRAGPa... | llama_index/llama-index-packs/llama-index-packs-corrective-rag/examples/example.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-corrective-rag/examples/example.py",
"repo_id": "llama_index",
"token_count": 196
} | 1,579 |
import json
import requests
import time
import uuid
from utils.util_log import test_log as logger
def logger_request_response(response, url, tt, headers, data, str_data, str_response, method):
if len(data) > 2000:
data = data[:1000] + "..." + data[-1000:]
try:
if response.status_code == 200:
... | milvus/tests/restful_client/api/milvus.py/0 | {
"file_path": "milvus/tests/restful_client/api/milvus.py",
"repo_id": "milvus",
"token_count": 4766
} | 2,009 |
from langchain import utilities
from tests.unit_tests import assert_all_importable
EXPECTED_ALL = [
"AlphaVantageAPIWrapper",
"ApifyWrapper",
"ArceeWrapper",
"ArxivAPIWrapper",
"BibtexparserWrapper",
"BingSearchAPIWrapper",
"BraveSearchWrapper",
"DuckDuckGoSearchAPIWrapper",
"Golden... | langchain/libs/langchain/tests/unit_tests/utilities/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/utilities/test_imports.py",
"repo_id": "langchain",
"token_count": 601
} | 637 |
from langchain_community.agent_toolkits.spark_sql.base import create_spark_sql_agent
__all__ = ["create_spark_sql_agent"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/base.py",
"repo_id": "langchain",
"token_count": 44
} | 469 |
import threading
import pytest
import time
from time import sleep
from pathlib import Path
from pymilvus import connections
from common.cus_resource_opts import CustomResourceOperations as CusResource
from common.milvus_sys import MilvusSys
import logging as log
from utils.util_k8s import wait_pods_ready, get_milvus_in... | milvus/tests/python_client/chaos/test_chaos_apply_to_coord.py/0 | {
"file_path": "milvus/tests/python_client/chaos/test_chaos_apply_to_coord.py",
"repo_id": "milvus",
"token_count": 3291
} | 1,893 |
# 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 applicabl... | trl/trl/trainer/ppo_config.py/0 | {
"file_path": "trl/trl/trainer/ppo_config.py",
"repo_id": "trl",
"token_count": 2849
} | 817 |
from langchain_community.vectorstores.elastic_vector_search import (
ElasticKnnSearch,
ElasticVectorSearch,
)
__all__ = [
"ElasticVectorSearch",
"ElasticKnnSearch",
]
| langchain/libs/langchain/langchain/vectorstores/elastic_vector_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/elastic_vector_search.py",
"repo_id": "langchain",
"token_count": 67
} | 575 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_50m_100000_128_l2_sq8
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/011_search_threshold.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_search_threshold.yaml",
"repo_id": "milvus",
"token_count": 804
} | 1,938 |
from langchain_community.tools.json.tool import (
JsonGetValueTool,
JsonListKeysTool,
JsonSpec,
)
__all__ = ["JsonSpec", "JsonListKeysTool", "JsonGetValueTool"]
| langchain/libs/langchain/langchain/tools/json/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/json/tool.py",
"repo_id": "langchain",
"token_count": 69
} | 582 |
<script lang="ts">
import CarbonUpload from "~icons/carbon/upload";
export let classNames = "";
export let files: File[];
let filelist: FileList;
$: if (filelist) {
files = Array.from(filelist);
}
</script>
<button
class="btn relative h-8 rounded-lg border bg-white px-3 py-1 text-sm text-gray-500 shadow-sm ... | chat-ui/src/lib/components/UploadBtn.svelte/0 | {
"file_path": "chat-ui/src/lib/components/UploadBtn.svelte",
"repo_id": "chat-ui",
"token_count": 233
} | 93 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/m2m_100/test_modeling_m2m_100.py/0 | {
"file_path": "transformers/tests/models/m2m_100/test_modeling_m2m_100.py",
"repo_id": "transformers",
"token_count": 7707
} | 735 |
import { OpenAIEmbeddings } from "@langchain/openai";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { InMemoryStore } from "langchain/storage/in_memory";
import { ParentDocumentRetriever } from "langchain/retrievers/parent_document";
import { RecursiveCharacterTextSplitter } from "langchain/... | langchainjs/examples/src/retrievers/parent_document_retriever.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/parent_document_retriever.ts",
"repo_id": "langchainjs",
"token_count": 954
} | 884 |
""" PyTorch selectable adaptive pooling
Adaptive pooling with the ability to select the type of pooling from:
* 'avg' - Average pooling
* 'max' - Max pooling
* 'avgmax' - Sum of average and max pooling re-scaled by 0.5
* 'avgmaxc' - Concatenation of average and max pooling along feature dim, doubles fea... | pytorch-image-models/timm/layers/adaptive_avgmax_pool.py/0 | {
"file_path": "pytorch-image-models/timm/layers/adaptive_avgmax_pool.py",
"repo_id": "pytorch-image-models",
"token_count": 2903
} | 351 |
selective_scan_commit := 2a3704fd47ba817b415627b06fd796b971fdc137
causal-conv1d:
rm -rf causal-conv1d
git clone https://github.com/Dao-AILab/causal-conv1d.git
build-causal-conv1d: causal-conv1d
cd causal-conv1d/ && git checkout v1.1.1 # known latest working version tag
cd causal-conv1d/ && CAUSAL_CONV1D_FORCE_BUI... | text-generation-inference/server/Makefile-selective-scan/0 | {
"file_path": "text-generation-inference/server/Makefile-selective-scan",
"repo_id": "text-generation-inference",
"token_count": 352
} | 413 |
# Copyright 2024 Zhejiang University Team 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
#
#... | diffusers/src/diffusers/schedulers/scheduling_ipndm.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ipndm.py",
"repo_id": "diffusers",
"token_count": 3644
} | 258 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,620 |
---
sidebar_class_name: node-only
---
# Llama CPP
:::tip Compatibility
Only available on Node.js.
:::
This module is based on the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) Node.js bindings for [llama.cpp](https://github.com/ggerganov/llama.cpp), allowing you to work with a locally running LLM. Th... | langchainjs/docs/core_docs/docs/integrations/chat/llama_cpp.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/llama_cpp.mdx",
"repo_id": "langchainjs",
"token_count": 887
} | 722 |
# LlamaIndex Index_Store Integration: Postgres
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,495 |
[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 = ["MongoDBKVStore"]
contains_example = false
import_path = "llama_index.storage.kvstore.mong... | llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/pyproject.toml",
"repo_id": "llama_index",
"token_count": 660
} | 1,409 |
# 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/tests/test_auto.py/0 | {
"file_path": "peft/tests/test_auto.py",
"repo_id": "peft",
"token_count": 3618
} | 338 |
<!--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/de/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/de/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 2995
} | 444 |
import unittest
from langchain.agents.agent_types import AgentType
from langchain.agents.types import AGENT_TO_CLASS
class TestTypes(unittest.TestCase):
def test_confirm_full_coverage(self) -> None:
self.assertEqual(list(AgentType), list(AGENT_TO_CLASS.keys()))
| langchain/libs/langchain/tests/unit_tests/agents/test_types.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_types.py",
"repo_id": "langchain",
"token_count": 98
} | 622 |
<script lang="ts">
import { afterUpdate } from "svelte";
import CopyToClipBoardBtn from "./CopyToClipBoardBtn.svelte";
export let code = "";
export let lang = "";
$: highlightedCode = "";
afterUpdate(async () => {
const { default: hljs } = await import("highlight.js");
const language = hljs.getLanguage(lan... | chat-ui/src/lib/components/CodeBlock.svelte/0 | {
"file_path": "chat-ui/src/lib/components/CodeBlock.svelte",
"repo_id": "chat-ui",
"token_count": 345
} | 85 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class FlaxStableDiffusionControlNetPipeline(metaclass=DummyObject):
_backends = ["flax", "transformers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax",... | diffusers/src/diffusers/utils/dummy_flax_and_transformers_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_flax_and_transformers_objects.py",
"repo_id": "diffusers",
"token_count": 957
} | 261 |
from langchain_community.chat_models.meta import (
convert_messages_to_prompt_llama,
)
__all__ = ["convert_messages_to_prompt_llama"]
| langchain/libs/langchain/langchain/chat_models/meta.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/meta.py",
"repo_id": "langchain",
"token_count": 54
} | 498 |
#!/usr/bin/env bash
# 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 r... | transformers/scripts/fsmt/eval-allenai-wmt19.sh/0 | {
"file_path": "transformers/scripts/fsmt/eval-allenai-wmt19.sh",
"repo_id": "transformers",
"token_count": 1140
} | 626 |
from typing import Any, List
from langchain_community.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
class UnstructuredODTLoader(UnstructuredFileLoader):
"""Load `OpenOffice ODT` files using `Unstructured`.
You can run the loader in one of two modes: ... | langchain/libs/community/langchain_community/document_loaders/odt.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/odt.py",
"repo_id": "langchain",
"token_count": 649
} | 242 |
[pytest]
addopts = --strict --endpoint http://127.0.0.1:19530 --token root:Milvus
log_format = [%(asctime)s - %(levelname)s - %(name)s]: %(message)s (%(filename)s:%(lineno)s)
log_date_format = %Y-%m-%d %H:%M:%S
filterwarnings =
ignore::DeprecationWarning
markers =
L0 : 'L0 case, high priority'
L1 : 'L1 ... | milvus/tests/restful_client/pytest.ini/0 | {
"file_path": "milvus/tests/restful_client/pytest.ini",
"repo_id": "milvus",
"token_count": 155
} | 2,189 |
<jupyter_start><jupyter_text>Clarifai>[Clarifai](https://www.clarifai.com/) is an AI Platform that provides the full AI lifecycle ranging from data exploration, data labeling, model training, evaluation, and inference.This example goes over how to use LangChain to interact with `Clarifai` [models](https://clarifai.com/... | langchain/docs/docs/integrations/text_embedding/clarifai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/clarifai.ipynb",
"repo_id": "langchain",
"token_count": 960
} | 162 |
import uuid
from typing import List, Optional, Sequence
from langchain_core.documents import Document
from langchain.retrievers import MultiVectorRetriever
from langchain.text_splitter import TextSplitter
class ParentDocumentRetriever(MultiVectorRetriever):
"""Retrieve small chunks then retrieve their parent do... | langchain/libs/langchain/langchain/retrievers/parent_document_retriever.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/parent_document_retriever.py",
"repo_id": "langchain",
"token_count": 2107
} | 536 |
# llama2-functions
This template performs extraction of structured data from unstructured data using a [LLaMA2 model that supports a specified JSON output schema](https://github.com/ggerganov/llama.cpp/blob/master/grammars/README.md).
The extraction schema can be set in `chain.py`.
## Environment Setup
This will ... | langchain/templates/llama2-functions/README.md/0 | {
"file_path": "langchain/templates/llama2-functions/README.md",
"repo_id": "langchain",
"token_count": 696
} | 672 |
from llama_index.legacy.output_parsers.utils import extract_json_str
def test_extract_json_str() -> None:
input = """\
Here is the valid JSON:
{
"title": "TestModel",
"attr_dict": {
"test_attr": "test_attr",
"foo": 2
}
}\
"""
expected = """\
{
"title": "TestModel",
"attr_di... | llama_index/llama-index-legacy/tests/output_parsers/test_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/output_parsers/test_utils.py",
"repo_id": "llama_index",
"token_count": 200
} | 1,629 |
import candle
from candle import Tensor, QTensor
from candle.nn import Module, Linear
from candle.utils import cuda_is_available
import pytest
def test_module_can_be_constructed():
class A(Module):
pass
a = A()
assert a is not None
assert len(list(a.buffers())) == 0
def test_module_registe... | candle/candle-pyo3/tests/bindings/test_module.py/0 | {
"file_path": "candle/candle-pyo3/tests/bindings/test_module.py",
"repo_id": "candle",
"token_count": 1853
} | 69 |
//! Batch Normalization.
//!
//! This layer applies Batch Normalization over a mini-batch of inputs as described in [`Batch
//! Normalization`]. The input is expected to have at least three dimensions.
//!
//! Note that this implementation is for inference only, there is no possibility to track the
//! running stats.
/... | candle/candle-nn/src/batch_norm.rs/0 | {
"file_path": "candle/candle-nn/src/batch_norm.rs",
"repo_id": "candle",
"token_count": 5325
} | 56 |
<jupyter_start><jupyter_text>Embedding Similarity Evaluator This notebook shows the `SemanticSimilarityEvaluator`, which evaluates the quality of a question answering system via semantic similarity.Concretely, it calculates the similarity score between embeddings of the generated answer and the reference answer. If you... | llama_index/docs/examples/evaluation/semantic_similarity_eval.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/semantic_similarity_eval.ipynb",
"repo_id": "llama_index",
"token_count": 806
} | 1,062 |
# LlamaIndex Managed Integration: Colbert
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,208 |
import os
from contextlib import contextmanager
from pathlib import Path
from tempfile import NamedTemporaryFile
from typing import Generator, Iterable, Optional
import pytest
from langchain_community.document_loaders.blob_loaders.schema import (
Blob,
BlobLoader,
PathLike,
)
@contextmanager
def get_tem... | langchain/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_schema.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_schema.py",
"repo_id": "langchain",
"token_count": 2024
} | 364 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,676 |
/* eslint-disable */
/**
* Generated `api` utility.
*
* THIS CODE IS AUTOMATICALLY GENERATED.
*
* Generated by convex@1.3.1.
* To regenerate, run `npx convex dev`.
* @module
*/
import { anyApi } from "convex/server";
/**
* A utility for referencing Convex functions in your app's API.
*
* Usage:
* ```js
*... | langchainjs/examples/src/memory/convex/_generated/api.js/0 | {
"file_path": "langchainjs/examples/src/memory/convex/_generated/api.js",
"repo_id": "langchainjs",
"token_count": 155
} | 887 |
"""Tests for correct functioning of tracers."""
| langchain/libs/langchain/tests/unit_tests/callbacks/tracers/__init__.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/callbacks/tracers/__init__.py",
"repo_id": "langchain",
"token_count": 12
} | 649 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/ddim/test_ddim.py/0 | {
"file_path": "diffusers/tests/pipelines/ddim/test_ddim.py",
"repo_id": "diffusers",
"token_count": 2230
} | 284 |
<jupyter_start><jupyter_text>TelegramThis notebook shows how to use the Telegram chat loader. This class helps map exported Telegram conversations to LangChain chat messages.The process has three steps:1. Export the chat .txt file by copying chats from the Discord app and pasting them in a file on your local computer2... | langchain/docs/docs/integrations/chat_loaders/telegram.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/chat_loaders/telegram.ipynb",
"repo_id": "langchain",
"token_count": 1158
} | 102 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/pinecone",
newEntrypointName: "",
newPackageName: "@langchain/pinecone",
});
export * from "@langchain/community/vectorstores/pinecone";
| langchainjs/langchain/src/vectorstores/pinecone.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/pinecone.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 1,033 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/services.go/0 | {
"file_path": "milvus/internal/datanode/services.go",
"repo_id": "milvus",
"token_count": 14649
} | 1,843 |
<!--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/en/model_doc/mpt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mpt.md",
"repo_id": "transformers",
"token_count": 824
} | 449 |
# `tokenizers-win32-ia32-msvc`
This is the **i686-pc-windows-msvc** binary for `tokenizers`
| tokenizers/bindings/node/npm/win32-ia32-msvc/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/win32-ia32-msvc/README.md",
"repo_id": "tokenizers",
"token_count": 37
} | 453 |
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.web_base import WebBaseLoader
class AZLyricsLoader(WebBaseLoader):
"""Load `AZLyrics` webpages."""
def load(self) -> List[Document]:
"""Load webpages into Documents."""
soup = sel... | langchain/libs/community/langchain_community/document_loaders/azlyrics.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/azlyrics.py",
"repo_id": "langchain",
"token_count": 205
} | 231 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/balance/rowcount_based_balancer.go/0 | {
"file_path": "milvus/internal/querycoordv2/balance/rowcount_based_balancer.go",
"repo_id": "milvus",
"token_count": 4380
} | 1,755 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/services_test.go/0 | {
"file_path": "milvus/internal/datanode/services_test.go",
"repo_id": "milvus",
"token_count": 13825
} | 1,807 |
import pytest
from langchain.evaluation.parsing.json_distance import JsonEditDistanceEvaluator
@pytest.fixture
def json_distance_evaluator() -> JsonEditDistanceEvaluator:
return JsonEditDistanceEvaluator()
@pytest.mark.requires("rapidfuzz")
def test_json_distance_evaluator_requires_input(
json_distance_eva... | langchain/libs/langchain/tests/unit_tests/evaluation/parsing/test_json_distance.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/evaluation/parsing/test_json_distance.py",
"repo_id": "langchain",
"token_count": 1517
} | 600 |
"""
Tools for the Maximal Marginal Relevance (MMR) reranking.
Duplicated from langchain_community to avoid cross-dependencies.
Functions "maximal_marginal_relevance" and "cosine_similarity"
are duplicated in this utility respectively from modules:
- "libs/community/langchain_community/vectorstores/utils.py"
- ... | langchain/libs/partners/astradb/langchain_astradb/utils/mmr.py/0 | {
"file_path": "langchain/libs/partners/astradb/langchain_astradb/utils/mmr.py",
"repo_id": "langchain",
"token_count": 1388
} | 619 |
import tempfile
import torch
from diffusers import (
DEISMultistepScheduler,
DPMSolverMultistepScheduler,
DPMSolverSinglestepScheduler,
UniPCMultistepScheduler,
)
from .test_schedulers import SchedulerCommonTest
class DPMSolverSinglestepSchedulerTest(SchedulerCommonTest):
scheduler_classes = (D... | diffusers/tests/schedulers/test_scheduler_dpm_single.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_dpm_single.py",
"repo_id": "diffusers",
"token_count": 6088
} | 281 |
import { NextRequest, NextResponse } from "next/server";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
import { ChatOpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { JsonOutputFunctionsParser } from "langchain/output_parsers";
expor... | langchain-nextjs-template/app/api/chat/structured_output/route.ts/0 | {
"file_path": "langchain-nextjs-template/app/api/chat/structured_output/route.ts",
"repo_id": "langchain-nextjs-template",
"token_count": 986
} | 66 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-openapi/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openapi/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,576 |
from typing import Any, Mapping, Optional
from llama_index.readers.airbyte_cdk.base import AirbyteCDKReader, RecordHandler
class AirbyteHubspotReader(AirbyteCDKReader):
"""AirbyteHubspotReader reader.
Retrieve documents from Hubspot
Args:
config: The config object for the hubspot source.
""... | llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/llama_index/readers/airbyte_hubspot/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/llama_index/readers/airbyte_hubspot/base.py",
"repo_id": "llama_index",
"token_count": 281
} | 1,310 |
python_sources()
| llama_index/llama-index-core/llama_index/core/command_line/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/command_line/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,202 |
import { expect, test } from "@jest/globals";
import { OpenAIEmbeddings, OpenAI } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { MemoryVectorStore } from "../../vectorstores/memory.js";
import { HydeRetriever } from "../hyde.js";
test("Hyde retriever", async () => {
const em... | langchainjs/langchain/src/retrievers/tests/hyde.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/tests/hyde.int.test.ts",
"repo_id": "langchainjs",
"token_count": 552
} | 962 |
- sections:
- local: index
title: 🤗 Accelerate
- local: basic_tutorials/install
title: Installation
- local: quicktour
title: Quicktour
title: Getting started
- sections:
- local: basic_tutorials/overview
title: Overview
- local: basic_tutorials/migration
title: Migrating to 🤗 Accelera... | accelerate/docs/source/_toctree.yml/0 | {
"file_path": "accelerate/docs/source/_toctree.yml",
"repo_id": "accelerate",
"token_count": 1180
} | 1 |
from langchain_community.graphs.neo4j_graph import (
Neo4jGraph,
)
__all__ = ["Neo4jGraph"]
| langchain/libs/langchain/langchain/graphs/neo4j_graph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/neo4j_graph.py",
"repo_id": "langchain",
"token_count": 42
} | 506 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-astra-db/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-astra-db/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,323 |
from langchain_community.document_loaders.tencent_cos_directory import (
TencentCOSDirectoryLoader,
)
__all__ = ["TencentCOSDirectoryLoader"]
| langchain/libs/langchain/langchain/document_loaders/tencent_cos_directory.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/tencent_cos_directory.py",
"repo_id": "langchain",
"token_count": 47
} | 501 |
package rootcoord
import (
"context"
"encoding/json"
"fmt"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/kv"
"github.com... | milvus/internal/metastore/kv/rootcoord/kv_catalog.go/0 | {
"file_path": "milvus/internal/metastore/kv/rootcoord/kv_catalog.go",
"repo_id": "milvus",
"token_count": 15593
} | 1,860 |
from llama_index.readers.mongodb.base import SimpleMongoReader
__all__ = ["SimpleMongoReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-mongodb/llama_index/readers/mongodb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mongodb/llama_index/readers/mongodb/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,524 |
import { HF_ACCESS_TOKEN, HF_TOKEN } from "$env/static/private";
import { buildPrompt } from "$lib/buildPrompt";
import { textGenerationStream } from "@huggingface/inference";
import type { Endpoint } from "../endpoints";
import { z } from "zod";
export const endpointTgiParametersSchema = z.object({
weight: z.number(... | chat-ui/src/lib/server/endpoints/tgi/endpointTgi.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/tgi/endpointTgi.ts",
"repo_id": "chat-ui",
"token_count": 526
} | 99 |
"""Test Baidu Qianfan Chat Endpoint."""
from typing import Any, cast
import pytest
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import (
AIMessage,
BaseMessage,
BaseMessageChunk,
FunctionMessage,
HumanMessage,
)
from langchain_core.outputs import ChatGeneration... | langchain/libs/community/tests/integration_tests/chat_models/test_qianfan_endpoint.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_qianfan_endpoint.py",
"repo_id": "langchain",
"token_count": 4940
} | 320 |
"""Test the server and client together."""
import os
from contextlib import asynccontextmanager
from typing import Optional, Sequence
import pytest
from httpx import AsyncClient
from langchain.utilities.redis import get_client as _get_redis_client
from redis.client import Redis as RedisType
from typing_extensions imp... | opengpts/backend/tests/unit_tests/app/test_app.py/0 | {
"file_path": "opengpts/backend/tests/unit_tests/app/test_app.py",
"repo_id": "opengpts",
"token_count": 2308
} | 2,201 |
from langchain_community.document_loaders.xml import UnstructuredXMLLoader
__all__ = ["UnstructuredXMLLoader"]
| langchain/libs/langchain/langchain/document_loaders/xml.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/xml.py",
"repo_id": "langchain",
"token_count": 36
} | 493 |
from langchain_openai.embeddings.azure import AzureOpenAIEmbeddings
from langchain_openai.embeddings.base import OpenAIEmbeddings
__all__ = [
"OpenAIEmbeddings",
"AzureOpenAIEmbeddings",
]
| langchain/libs/partners/openai/langchain_openai/embeddings/__init__.py/0 | {
"file_path": "langchain/libs/partners/openai/langchain_openai/embeddings/__init__.py",
"repo_id": "langchain",
"token_count": 77
} | 622 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/llama_index/readers/mangadex/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/llama_index/readers/mangadex/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,332 |
from llama_index.core.storage.index_store.keyval_index_store import KVIndexStore
from llama_index.storage.index_store.mongodb import MongoIndexStore
def test_class():
names_of_base_classes = [b.__name__ for b in MongoIndexStore.__mro__]
assert KVIndexStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/tests/test_storage_index_store_mongodb.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/tests/test_storage_index_store_mongodb.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,419 |
# Example selectors
If you have a large number of examples, you may need to select which ones to include in the prompt. The Example Selector is the class responsible for doing so.
The base interface is defined as below:
If you have a large number of examples, you may need to programmatically select which ones to inc... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/example_selector_types/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/example_selector_types/index.mdx",
"repo_id": "langchainjs",
"token_count": 210
} | 820 |
# Python File Tool
This tool loads a python file and extracts function names, arguments and descriptions automatically. This tool is particular useful for automatically creating custom Tool Specs when you already have well documented python functions.
## Usage
This tool has more extensive example usage documented in... | llama_index/llama-index-integrations/tools/llama-index-tools-python-file/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-python-file/README.md",
"repo_id": "llama_index",
"token_count": 382
} | 1,524 |
install-server:
cd server && make install
install-custom-kernels:
if [ "$$BUILD_EXTENSIONS" = "True" ]; then cd server/custom_kernels && python setup.py install; else echo "Custom kernels are disabled, you need to set the BUILD_EXTENSIONS environment variable to 'True' in order to build them. (Please read the docs, ... | text-generation-inference/Makefile/0 | {
"file_path": "text-generation-inference/Makefile",
"repo_id": "text-generation-inference",
"token_count": 498
} | 416 |
# Copyright 2021 AlQuraishi Laboratory
# Copyright 2021 DeepMind Technologies Limited
#
# 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
#
# U... | transformers/src/transformers/models/esm/openfold_utils/loss.py/0 | {
"file_path": "transformers/src/transformers/models/esm/openfold_utils/loss.py",
"repo_id": "transformers",
"token_count": 1389
} | 669 |
# coding=utf-8
# Copyright 2023 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/models/pop2piano/test_feature_extraction_pop2piano.py/0 | {
"file_path": "transformers/tests/models/pop2piano/test_feature_extraction_pop2piano.py",
"repo_id": "transformers",
"token_count": 4962
} | 807 |
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