"""simple docstring"""




import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


__lowerCamelCase											=  "\\n    Text data.\n    Second line of data."

__lowerCamelCase											=  "file"






@pytest.fixture(scope='session'				)
def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							tmp_path_factory.mktemp('data'				) / (FILE_PATH + '.zstd')
							A__	     =							bytes(UpperCamelCase__       ,    'utf-8'				)
							with zstd.open(UpperCamelCase__       ,    'wb'				) as f:
														f.write(UpperCamelCase__				)
							return path






@pytest.fixture
def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							with open(os.path.join(tmpfs.local_root_dir       ,    UpperCamelCase__				)       ,    'w'				) as f:
														f.write(UpperCamelCase__				)
							return FILE_PATH






@pytest.mark.parametrize('compression_format'       ,    ['gzip', 'xz', 'zstd']				)
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							{'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_path}
							A__	     =							input_paths[compression_format]
							A__	     =							tmp_path / 'cache'
							A__	     =							DownloadConfig(cache_dir=UpperCamelCase__       ,    extract_compressed_file=UpperCamelCase__				)
							A__	     =							cached_path(UpperCamelCase__       ,    download_config=UpperCamelCase__				)
							with open(UpperCamelCase__				) as f:
														A__	     =							f.read()
							with open(UpperCamelCase__				) as f:
														A__	     =							f.read()
							assert extracted_file_content == expected_file_content






@pytest.mark.parametrize('default_extracted'       ,    [True, False]				)
@pytest.mark.parametrize('default_cache_dir'       ,    [True, False]				)
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							'custom_cache'
							A__	     =							'custom_extracted_dir'
							A__	     =							tmp_path / 'custom_extracted_path'
							if default_extracted:
														A__	     =							('downloads' if default_cache_dir else custom_cache_dir, 'extracted')
							else:
														monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_DIR'       ,    UpperCamelCase__				)
														monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'       ,    str(UpperCamelCase__				)				)
														A__	     =							custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

							A__	     =							xz_file
							A__	     =							(
							    DownloadConfig(extract_compressed_file=UpperCamelCase__				)
							    if default_cache_dir
							    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir       ,    extract_compressed_file=UpperCamelCase__				)
							)
							A__	     =							cached_path(UpperCamelCase__       ,    download_config=UpperCamelCase__				)
							assert Path(UpperCamelCase__				).parent.parts[-2:] == expected






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							str(Path(UpperCamelCase__				).resolve()				)
							assert cached_path(UpperCamelCase__				) == text_file
							# relative path
							A__	     =							str(Path(UpperCamelCase__				).resolve().relative_to(Path(os.getcwd()				)				)				)
							assert cached_path(UpperCamelCase__				) == text_file






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							str(tmp_path.resolve() / '__missing_file__.txt'				)
							with pytest.raises(UpperCamelCase__				):
														cached_path(UpperCamelCase__				)
							# relative path
							A__	     =							'./__missing_file__.txt'
							with pytest.raises(UpperCamelCase__				):
														cached_path(UpperCamelCase__				)






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							get_from_cache(F'''tmp://{tmpfs_file}'''				)
							with open(UpperCamelCase__				) as f:
														A__	     =							f.read()
							assert output_file_content == FILE_CONTENT






@patch('datasets.config.HF_DATASETS_OFFLINE'       ,    UpperCamelCase__				)
def   UpperCAmelCase					(	):






							"""simple docstring"""





							with pytest.raises(UpperCamelCase__				):
														cached_path('https://huggingface.co'				)






@patch('datasets.config.HF_DATASETS_OFFLINE'       ,    UpperCamelCase__				)
def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							tmp_path_factory.mktemp('data'				) / 'file.html'
							with pytest.raises(UpperCamelCase__				):
														http_get('https://huggingface.co'       ,    temp_file=UpperCamelCase__				)
							with pytest.raises(UpperCamelCase__				):
														http_head('https://huggingface.co'				)






@patch('datasets.config.HF_DATASETS_OFFLINE'       ,    UpperCamelCase__				)
def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							tmp_path_factory.mktemp('data'				) / 'file.html'
							with pytest.raises(UpperCamelCase__				):
														ftp_get('ftp://huggingface.co'       ,    temp_file=UpperCamelCase__				)
							with pytest.raises(UpperCamelCase__				):
														ftp_head('ftp://huggingface.co'				)






@patch('datasets.config.HF_DATASETS_OFFLINE'       ,    UpperCamelCase__				)
def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							tmp_path_factory.mktemp('data'				) / 'file.html'
							with pytest.raises(UpperCamelCase__				):
														fsspec_get('s3://huggingface.co'       ,    temp_file=UpperCamelCase__				)
							with pytest.raises(UpperCamelCase__				):
														fsspec_head('s3://huggingface.co'				)






"""simple docstring"""




import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class     UpperCamelCase__(			__A ):
						lowerCAmelCase__  :						Union[str, Any]													=		'M-CLIP'





						def __init__(       self		,__UpperCAmelCase=10_24		,__UpperCAmelCase=7_68		,**__UpperCAmelCase     )					->				List[str]:
													A__	     =							transformerDimSize
													A__	     =							imageDimSize
													super().__init__(**__UpperCAmelCase     )






class     UpperCamelCase__(			__A ):
						lowerCAmelCase__  :						Union[str, Any]													=		MCLIPConfig





						def __init__(       self		,__UpperCAmelCase		,*__UpperCAmelCase		,**__UpperCAmelCase     )					->				List[Any]:
													super().__init__(__UpperCAmelCase		,*__UpperCAmelCase		,**__UpperCAmelCase     )
													A__	     =							XLMRobertaModel(__UpperCAmelCase     )
													A__	     =							torch.nn.Linear(
													    in_features=config.transformerDimensions		,out_features=config.numDims     )





						def 				snake_case__	(       self		,__UpperCAmelCase		,__UpperCAmelCase     )					->				Tuple:
													A__	     =							self.transformer(input_ids=__UpperCAmelCase		,attention_mask=__UpperCAmelCase     )[0]
													A__	     =							(embs * attention_mask.unsqueeze(2     )).sum(dim=1     ) / attention_mask.sum(dim=1     )[:, None]
													return self.LinearTransformation(__UpperCAmelCase     ), embs





