

"""simple docstring"""






import warnings
from typing import List, Optional, Union

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







class    snake_case__	(			__lowercase  ):
			SCREAMING_SNAKE_CASE__  					=    ['''image_processor''', '''tokenizer''']
			SCREAMING_SNAKE_CASE__  					=    '''ViltImageProcessor'''
			SCREAMING_SNAKE_CASE__  					=    ('''BertTokenizer''', '''BertTokenizerFast''')







			def __init__(      self      :			List[Any]      ,	lowercase      :			Tuple=None      ,	lowercase      :			Tuple=None      ,	**lowercase      :			Union[str, Any]	):





								'''simple docstring'''



								UpperCAmelCase      : Any   =					None
								if "feature_extractor" in kwargs:
													warnings.warn(
													    "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
													    " instead."      ,	_lowerCAmelCase      ,	)
													UpperCAmelCase      : Dict   =					kwargs.pop("feature_extractor"	)

								UpperCAmelCase      : Tuple   =					image_processor if image_processor is not None else feature_extractor
								if image_processor is None:
													raise ValueError("You need to specify an `image_processor`."	)
								if tokenizer is None:
													raise ValueError("You need to specify a `tokenizer`."	)

								super().__init__(_lowerCAmelCase      ,	_lowerCAmelCase	)
								UpperCAmelCase      : int   =					self.image_processor







			def __call__(      self      :			Optional[Any]      ,	lowercase      :			str      ,	lowercase      :			int = None      ,	lowercase      :			int = True      ,	lowercase      :			List[Any] = False      ,	lowercase      :			List[str] = None      ,	lowercase      :			int = None      ,	lowercase      :			Any = 0      ,	lowercase      :			Optional[Any] = None      ,	lowercase      :			Optional[int] = None      ,	lowercase      :			List[Any] = None      ,	lowercase      :			List[str] = False      ,	lowercase      :			Dict = False      ,	lowercase      :			str = False      ,	lowercase      :			Tuple = False      ,	lowercase      :			Union[str, Any] = True      ,	lowercase      :			Optional[int] = None      ,	**lowercase      :			Optional[Any]      ,	):





								'''simple docstring'''



								UpperCAmelCase      : Union[str, Any]   =					self.tokenizer(
								    text=_lowerCAmelCase      ,	add_special_tokens=_lowerCAmelCase      ,	padding=_lowerCAmelCase      ,	truncation=_lowerCAmelCase      ,	max_length=_lowerCAmelCase      ,	stride=_lowerCAmelCase      ,	pad_to_multiple_of=_lowerCAmelCase      ,	return_token_type_ids=_lowerCAmelCase      ,	return_attention_mask=_lowerCAmelCase      ,	return_overflowing_tokens=_lowerCAmelCase      ,	return_special_tokens_mask=_lowerCAmelCase      ,	return_offsets_mapping=_lowerCAmelCase      ,	return_length=_lowerCAmelCase      ,	verbose=_lowerCAmelCase      ,	return_tensors=_lowerCAmelCase      ,	**_lowerCAmelCase      ,	)
								# add pixel_values + pixel_mask
								UpperCAmelCase      : List[Any]   =					self.image_processor(_lowerCAmelCase      ,	return_tensors=_lowerCAmelCase	)
								encoding.update(_lowerCAmelCase	)

								return encoding







			def       __lowerCAmelCase					(      self      :			List[Any]      ,	*lowercase      :			int      ,	**lowercase      :			Dict	):





								'''simple docstring'''



								return self.tokenizer.batch_decode(*_lowerCAmelCase      ,	**_lowerCAmelCase	)







			def       __lowerCAmelCase					(      self      :			Optional[Any]      ,	*lowercase      :			List[str]      ,	**lowercase      :			Optional[Any]	):





								'''simple docstring'''



								return self.tokenizer.decode(*_lowerCAmelCase      ,	**_lowerCAmelCase	)







			@property
			def       __lowerCAmelCase					(      self      :			Dict	):





								'''simple docstring'''



								UpperCAmelCase      : Optional[int]   =					self.tokenizer.model_input_names
								UpperCAmelCase      : Tuple   =					self.image_processor.model_input_names
								return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names	)	)







			@property
			def       __lowerCAmelCase					(      self      :			List[str]	):





								'''simple docstring'''



								warnings.warn(
								    "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."      ,	_lowerCAmelCase      ,	)
								return self.image_processor_class







			@property
			def       __lowerCAmelCase					(      self      :			Any	):





								'''simple docstring'''



								warnings.warn(
								    "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."      ,	_lowerCAmelCase      ,	)
								return self.image_processor









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							:       Dict					 =	"""\
    Text data.
    Second line of data."""

lowerCAmelCase							:       str					 =	"""file"""






@pytest.fixture(scope='''session'''					)
def 		lowerCAmelCase  (	UpperCamelCase__   :   Union[str, Any]					)      ->    Any:

						"""simple docstring"""





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






@pytest.fixture
def 		lowerCAmelCase  (	UpperCamelCase__   :   Optional[Any]					)      ->    int:

						"""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 		lowerCAmelCase  (	UpperCamelCase__   :   Optional[int]       ,			UpperCamelCase__   :   List[str]       ,			UpperCamelCase__   :   Dict       ,			UpperCamelCase__   :   Optional[Any]       ,			UpperCamelCase__   :   Dict       ,			UpperCamelCase__   :   List[Any]					)      ->    Any:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Dict           =   {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
						__SCREAMING_SNAKE_CASE:				List[str]           =   input_paths[compression_format]
						__SCREAMING_SNAKE_CASE:				List[Any]           =   tmp_path / '''cache'''
						__SCREAMING_SNAKE_CASE:				List[str]           =   DownloadConfig(cache_dir=UpperCamelCase__       ,			extract_compressed_file=UpperCamelCase__					)
						__SCREAMING_SNAKE_CASE:				Tuple           =   cached_path(UpperCamelCase__       ,			download_config=UpperCamelCase__					)
						with open(UpperCamelCase__					) as f:
												__SCREAMING_SNAKE_CASE:				Optional[Any]           =   f.read()
						with open(UpperCamelCase__					) as f:
												__SCREAMING_SNAKE_CASE:				Dict           =   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 		lowerCAmelCase  (	UpperCamelCase__   :   Tuple       ,			UpperCamelCase__   :   List[str]       ,			UpperCamelCase__   :   str       ,			UpperCamelCase__   :   Optional[int]       ,			UpperCamelCase__   :   Optional[Any]					)      ->    Optional[Any]:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Tuple           =   '''custom_cache'''
						__SCREAMING_SNAKE_CASE:				Optional[int]           =   '''custom_extracted_dir'''
						__SCREAMING_SNAKE_CASE:				List[Any]           =   tmp_path / '''custom_extracted_path'''
						if default_extracted:
												__SCREAMING_SNAKE_CASE:				int           =   ('''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__					)					)
												__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

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






def 		lowerCAmelCase  (	UpperCamelCase__   :   Dict					)      ->    Union[str, Any]:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Optional[Any]           =   str(Path(UpperCamelCase__					).resolve()					)
						assert cached_path(UpperCamelCase__					) == text_file
						# relative path
						__SCREAMING_SNAKE_CASE:				Optional[int]           =   str(Path(UpperCamelCase__					).resolve().relative_to(Path(os.getcwd()					)					)					)
						assert cached_path(UpperCamelCase__					) == text_file






def 		lowerCAmelCase  (	UpperCamelCase__   :   Optional[Any]					)      ->    Tuple:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				List[Any]           =   str(tmp_path.resolve() / '''__missing_file__.txt'''					)
						with pytest.raises(UpperCamelCase__					):
												cached_path(UpperCamelCase__					)
						# relative path
						__SCREAMING_SNAKE_CASE:				int           =   '''./__missing_file__.txt'''
						with pytest.raises(UpperCamelCase__					):
												cached_path(UpperCamelCase__					)






def 		lowerCAmelCase  (	UpperCamelCase__   :   Tuple					)      ->    Union[str, Any]:

						"""simple docstring"""





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






@patch('''datasets.config.HF_DATASETS_OFFLINE'''       ,			UpperCamelCase__					)
def 		lowerCAmelCase  (	)      ->    Any:

						"""simple docstring"""





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






@patch('''datasets.config.HF_DATASETS_OFFLINE'''       ,			UpperCamelCase__					)
def 		lowerCAmelCase  (	UpperCamelCase__   :   int					)      ->    Union[str, Any]:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Optional[int]           =   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 		lowerCAmelCase  (	UpperCamelCase__   :   Dict					)      ->    List[str]:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				List[Any]           =   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 		lowerCAmelCase  (	UpperCamelCase__   :   Optional[int]					)      ->    Tuple:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Tuple           =   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'''					)



