




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__					(      snake_case__   ):
						_a							:					List[Any]      =					["""image_processor""", """tokenizer"""]
						_a							:					Dict      =					"""BridgeTowerImageProcessor"""
						_a							:					List[Any]      =					("""RobertaTokenizer""", """RobertaTokenizerFast""")






						def __init__(     self	,    _A	,    _A    ):




											"""simple docstring"""



											super().__init__(_A	,    _A    )






						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"""



											__lowerCAmelCase            = 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
											__lowerCAmelCase            = self.image_processor(
											    _A	,    return_tensors=_A	,    do_normalize=_A	,    do_center_crop=_A	,    **_A    )
											encoding.update(_A    )

											return encoding






						def        __SCREAMING_SNAKE_CASE(     self	,    *_A	,    **_A    ):




											"""simple docstring"""



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






						def        __SCREAMING_SNAKE_CASE(     self	,    *_A	,    **_A    ):




											"""simple docstring"""



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






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											__lowerCAmelCase            = self.tokenizer.model_input_names
											__lowerCAmelCase            = self.image_processor.model_input_names
											return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names    )    )










import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
UpperCamelCase__					    =    """."""


if __name__ == "__main__":
					UpperCamelCase__					    =    os.path.join(REPO_PATH, """utils/documentation_tests.txt""")
					UpperCamelCase__					    =    []
					UpperCamelCase__					    =    []
					with open(doctest_file_path) as fp:
										for line in fp:
															UpperCamelCase__					    =    line.strip()
															UpperCamelCase__					    =    os.path.join(REPO_PATH, line)
															if not (os.path.isfile(path) or os.path.isdir(path)):
																				non_existent_paths.append(line)
															all_paths.append(path)
					if len(non_existent_paths) > 0:
										UpperCamelCase__					    =    """\n""".join(non_existent_paths)
										raise ValueError(f'''`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}''')
					if all_paths != sorted(all_paths):
										raise ValueError("""Files in `utils/documentation_tests.txt` are not in alphabetical order.""")




