






import argparse
import datetime

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				__magic_name__		:Dict   =   {
				    '''0''': '''Sunday''',
				    '''1''': '''Monday''',
				    '''2''': '''Tuesday''',
				    '''3''': '''Wednesday''',
				    '''4''': '''Thursday''',
				    '''5''': '''Friday''',
				    '''6''': '''Saturday''',
				}

				__magic_name__		:Dict   =   {0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

				# Validate
				if not 0 < len(snake_case			) < 1_1:
								raise ValueError('''Must be 10 characters long'''			)

				# Get month
				__magic_name__		:int   =   int(date_input[0] + date_input[1]			)
				# Validate
				if not 0 < m < 1_3:
								raise ValueError('''Month must be between 1 - 12'''			)

				__magic_name__		:str   =   date_input[2]
				# Validate
				if sep_a not in ["-", "/"]:
								raise ValueError('''Date separator must be \'-\' or \'/\''''			)

				# Get day
				__magic_name__		:int   =   int(date_input[3] + date_input[4]			)
				# Validate
				if not 0 < d < 3_2:
								raise ValueError('''Date must be between 1 - 31'''			)

				# Get second separator
				__magic_name__		:str   =   date_input[5]
				# Validate
				if sep_a not in ["-", "/"]:
								raise ValueError('''Date separator must be \'-\' or \'/\''''			)

				# Get year
				__magic_name__		:int   =   int(date_input[6] + date_input[7] + date_input[8] + date_input[9]			)
				# Arbitrary year range
				if not 4_5 < y < 8_5_0_0:
								raise ValueError(
								    '''Year out of range. There has to be some sort of limit...right?'''			)

				# Get datetime obj for validation
				__magic_name__		:List[str]   =   datetime.date(int(snake_case			),	int(snake_case			),	int(snake_case			)			)

				# Start math
				if m <= 2:
								__magic_name__		:int   =   y - 1
								__magic_name__		:int   =   m + 1_2
				# maths var
				__magic_name__		:int   =   int(str(snake_case			)[:2]			)
				__magic_name__		:int   =   int(str(snake_case			)[2:]			)
				__magic_name__		:int   =   int(2.6 * m - 5.39			)
				__magic_name__		:int   =   int(c / 4			)
				__magic_name__		:int   =   int(k / 4			)
				__magic_name__		:int   =   int(d + k			)
				__magic_name__		:int   =   int(t + u + v + x			)
				__magic_name__		:int   =   int(z - (2 * c)			)
				__magic_name__		:int   =   round(w % 7			)
				# End math

				# Validate math
				if f != convert_datetime_days[dt_ck.weekday()]:
								raise AssertionError('''The date was evaluated incorrectly. Contact developer.'''			)

				# Response
				__magic_name__		:str   =   f'''Your date {date_input}, is a {days[str(snake_case			)]}!'''
				return response


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					SCREAMING_SNAKE_CASE__   :      Optional[Any]				=		argparse.ArgumentParser(
					    description=(
					        """Find out what day of the week nearly any date is or was. Enter """
					        """date as a string in the mm-dd-yyyy or mm/dd/yyyy format"""
					    )
					)
					parser.add_argument(
					    """date_input""", type=str, help="""Date as a string (mm-dd-yyyy or mm/dd/yyyy)"""
					)
					SCREAMING_SNAKE_CASE__   :      Dict				=		parser.parse_args()
					zeller(args.date_input)














import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class     lowerCamelCase_					(   lowerCamelCase			):
				a__       							=	['''image_processor''', '''tokenizer''']
				a__       							=	'''ChineseCLIPImageProcessor'''
				a__       							=	('''BertTokenizer''', '''BertTokenizerFast''')







				def __init__(    self							,       __lowerCAmelCase=None							,       __lowerCAmelCase=None							,       **__lowerCAmelCase  ):
								"""simple docstring"""
								__magic_name__		:Tuple   =   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							,       )
												__magic_name__		:Optional[Any]   =   kwargs.pop('''feature_extractor'''  )

								__magic_name__		: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  )
								__magic_name__		:List[Any]   =   self.image_processor







				def __call__(    self							,       __lowerCAmelCase=None							,       __lowerCAmelCase=None							,       __lowerCAmelCase=None							,       **__lowerCAmelCase  ):
								"""simple docstring"""

								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:
												__magic_name__		:int   =   self.tokenizer(__lowerCAmelCase							,       return_tensors=__lowerCAmelCase							,       **__lowerCAmelCase  )

								if images is not None:
												__magic_name__		:Dict   =   self.image_processor(__lowerCAmelCase							,       return_tensors=__lowerCAmelCase							,       **__lowerCAmelCase  )

								if text is not None and images is not None:
												__magic_name__		:Union[str, Any]   =   image_features.pixel_values
												return encoding
								elif text is not None:
												return encoding
								else:
												return BatchEncoding(data=dict(**__lowerCAmelCase  )							,       tensor_type=__lowerCAmelCase  )







				def       A						(    self							,       *__lowerCAmelCase							,       **__lowerCAmelCase  ):
								"""simple docstring"""
								return self.tokenizer.batch_decode(*__lowerCAmelCase							,       **__lowerCAmelCase  )







				def       A						(    self							,       *__lowerCAmelCase							,       **__lowerCAmelCase  ):
								"""simple docstring"""
								return self.tokenizer.decode(*__lowerCAmelCase							,       **__lowerCAmelCase  )







				@property
				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:List[Any]   =   self.tokenizer.model_input_names
								__magic_name__		:Any   =   self.image_processor.model_input_names
								return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )







				@property
				def       A						(    self  ):
								"""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






