






from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType





class 						SCREAMING_SNAKE_CASE				( snake_case					):





							"""simple docstring"""

							A_						  =					["image_processor", "tokenizer"]
							A_						  =					"BlipImageProcessor"
							A_						  =					("BertTokenizer", "BertTokenizerFast")

							def __init__(  self:   str		,     __A:   List[Any]		,     __A:   int   )    ->				Optional[int]:
												_A								= False
												super().__init__(__A		,     __A   )
												_A								= self.image_processor

							def __call__(  self:   Any		,     __A:   ImageInput = None		,     __A:   Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None		,     __A:   bool = True		,     __A:   Union[bool, str, PaddingStrategy] = False		,     __A:   Union[bool, str, TruncationStrategy] = None		,     __A:   Optional[int] = None		,     __A:   int = 0		,     __A:   Optional[int] = None		,     __A:   Optional[bool] = None		,     __A:   bool = False		,     __A:   bool = False		,     __A:   bool = False		,     __A:   bool = False		,     __A:   bool = False		,     __A:   bool = True		,     __A:   Optional[Union[str, TensorType]] = None		,     **__A:   int		,     )    ->				BatchEncoding:
												if images is None and text is None:
																	raise ValueError('''You have to specify either images or text.'''   )

												# Get only text
												if images is None:
																	_A								= self.tokenizer
																	_A								= self.tokenizer(
																	    text=__A		,     add_special_tokens=__A		,     padding=__A		,     truncation=__A		,     max_length=__A		,     stride=__A		,     pad_to_multiple_of=__A		,     return_attention_mask=__A		,     return_overflowing_tokens=__A		,     return_special_tokens_mask=__A		,     return_offsets_mapping=__A		,     return_token_type_ids=__A		,     return_length=__A		,     verbose=__A		,     return_tensors=__A		,     **__A		,     )
																	return text_encoding

												# add pixel_values
												_A								= self.image_processor(__A		,     return_tensors=__A   )

												if text is not None:
																	_A								= self.tokenizer(
																	    text=__A		,     add_special_tokens=__A		,     padding=__A		,     truncation=__A		,     max_length=__A		,     stride=__A		,     pad_to_multiple_of=__A		,     return_attention_mask=__A		,     return_overflowing_tokens=__A		,     return_special_tokens_mask=__A		,     return_offsets_mapping=__A		,     return_token_type_ids=__A		,     return_length=__A		,     verbose=__A		,     return_tensors=__A		,     **__A		,     )
												else:
																	_A								= None

												if text_encoding is not None:
																	encoding_image_processor.update(__A   )

												return encoding_image_processor

							def       __A (  self:   Optional[int]		,     *__A:   Optional[int]		,     **__A:   Optional[Any]   )    ->				int:
												return self.tokenizer.batch_decode(*__A		,     **__A   )

							def       __A (  self:   Union[str, Any]		,     *__A:   Any		,     **__A:   List[str]   )    ->				Union[str, Any]:
												return self.tokenizer.decode(*__A		,     **__A   )



							@property
							def       __A (  self:   Tuple   )    ->				Tuple:
												_A								= self.tokenizer.model_input_names
												_A								= self.image_processor.model_input_names
												return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names   )   )











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,
)


__A      =				'\\n    Text data.\n    Second line of data.'

__A      =				'file'




@pytest.fixture(scope='''session''' )
def      __A					(     _lowercase ):

					'''simple docstring'''







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




@pytest.fixture
def      __A					(     _lowercase ):

					'''simple docstring'''







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




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

					'''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=_lowercase					,			extract_compressed_file=_lowercase )
					_A								= cached_path(_lowercase					,			download_config=_lowercase )
					with open(_lowercase ) as f:
										_A								= f.read()
					with open(_lowercase ) 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      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			_lowercase ):

					'''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'''					,			_lowercase )
										monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''					,			str(_lowercase ) )
										_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=_lowercase )
					    if default_cache_dir
					    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir					,			extract_compressed_file=_lowercase )
					)
					_A								= cached_path(_lowercase					,			download_config=_lowercase )
					assert Path(_lowercase ).parent.parts[-2:] == expected




def      __A					(     _lowercase ):

					'''simple docstring'''







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




def      __A					(     _lowercase ):

					'''simple docstring'''







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




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= get_from_cache(f"""tmp://{tmpfs_file}""" )
					with open(_lowercase ) as f:
										_A								= f.read()
					assert output_file_content == FILE_CONTENT




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     ):

					'''simple docstring'''







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




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







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




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







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




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







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



