




'''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 				_a							(       _UpperCAmelCase      ):





       '''simple docstring'''






       A		:							str								=		['''image_processor''', '''tokenizer''']
       A		:							Tuple								=		'''ViltImageProcessor'''
       A		:							Union[str, Any]								=		('''BertTokenizer''', '''BertTokenizerFast''')







       def __init__(	self,				A=None,				A=None,				**A   ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE					:	str   =		None
             if "feature_extractor" in kwargs:
                   warnings.warn(
                       'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                       ' instead.',				A,				)
                   SCREAMING_SNAKE_CASE					:	Union[str, Any]   =		kwargs.pop('feature_extractor'   )

             SCREAMING_SNAKE_CASE					:	List[str]   =		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__(A,				A   )
             SCREAMING_SNAKE_CASE					:	Union[str, Any]   =		self.image_processor







       def __call__(	self,				A,				A = None,				A = True,				A = False,				A = None,				A = None,				A = 0,				A = None,				A = None,				A = None,				A = False,				A = False,				A = False,				A = False,				A = True,				A = None,				**A,				):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE					:	int   =		self.tokenizer(
                 text=A,				add_special_tokens=A,				padding=A,				truncation=A,				max_length=A,				stride=A,				pad_to_multiple_of=A,				return_token_type_ids=A,				return_attention_mask=A,				return_overflowing_tokens=A,				return_special_tokens_mask=A,				return_offsets_mapping=A,				return_length=A,				verbose=A,				return_tensors=A,				**A,				)
             # add pixel_values + pixel_mask
             SCREAMING_SNAKE_CASE					:	Dict   =		self.image_processor(A,				return_tensors=A   )
             encoding.update(A   )

             return encoding







       def     UpperCamelCase_				(	self,				*A,				**A   ):







             '''simple docstring'''







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







       def     UpperCamelCase_				(	self,				*A,				**A   ):







             '''simple docstring'''







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







       @property
       def     UpperCamelCase_				(	self   ):







             '''simple docstring'''







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







       @property
       def     UpperCamelCase_				(	self   ):







             '''simple docstring'''







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







       @property
       def     UpperCamelCase_				(	self   ):







             '''simple docstring'''







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









"""simple docstring"""





# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


SCREAMING_SNAKE_CASE__					=   open  # noqa: we just need to have a builtin inside this module to test it properly






