


import os

try:
				from .build_directory_md import good_file_paths
except ImportError:
				from build_directory_md import good_file_paths  # type: ignore

lowerCAmelCase__			:      Any								=list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

lowerCAmelCase__			:      List[str]								=[file for file in filepaths if file != file.lower()]
if upper_files:
				print(F"""{len(upper_files)} files contain uppercase characters:""")
				print('\n'.join(upper_files) + '\n')

lowerCAmelCase__			:      Tuple								=[file for file in filepaths if ' ' in file]
if space_files:
				print(F"""{len(space_files)} files contain space characters:""")
				print('\n'.join(space_files) + '\n')

lowerCAmelCase__			:      List[Any]								=[file for file in filepaths if '-' in file]
if hyphen_files:
				print(F"""{len(hyphen_files)} files contain hyphen characters:""")
				print('\n'.join(hyphen_files) + '\n')

lowerCAmelCase__			:      List[str]								=[file for file in filepaths if os.sep not in file]
if nodir_files:
				print(F"""{len(nodir_files)} files are not in a directory:""")
				print('\n'.join(nodir_files) + '\n')

lowerCAmelCase__			:      List[str]								=len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
				import sys

				sys.exit(bad_files)








from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					Union[str, Any]			     =     ['''image_processor''', '''tokenizer''']
				__SCREAMING_SNAKE_CASE   :					Tuple			     =     '''AutoImageProcessor'''
				__SCREAMING_SNAKE_CASE   :					Dict			     =     '''AutoTokenizer'''




				def __init__(   self ,  snake_case ,  snake_case			):
											super().__init__(snake_case ,  snake_case			)
											snake_case_     							=       self.image_processor




				def __call__(   self ,  snake_case=None ,  snake_case=None ,  snake_case=None ,  **snake_case			):

											if text is None and images is None:
																		raise ValueError('You have to specify either text or images. Both cannot be none.'			)

											if text is not None:
																		snake_case_     							=       self.tokenizer(snake_case ,  return_tensors=snake_case ,  **snake_case			)

											if images is not None:
																		snake_case_     							=       self.image_processor(snake_case ,  return_tensors=snake_case ,  **snake_case			)

											if text is not None and images is not None:
																		snake_case_     							=       image_features.pixel_values
																		return encoding
											elif text is not None:
																		return encoding
											else:
																		return BatchEncoding(data=dict(**snake_case			) ,  tensor_type=snake_case			)




				def        a				(   self ,  *snake_case ,  **snake_case			):
											return self.tokenizer.batch_decode(*snake_case ,  **snake_case			)




				def        a				(   self ,  *snake_case ,  **snake_case			):
											return self.tokenizer.decode(*snake_case ,  **snake_case			)




				@property
				def        a				(   self			):
											return ["input_ids", "attention_mask", "pixel_values"]




