"""simple docstring"""





from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class  _snake_case     (					a__		):
						snake_case__			  =			["image_processor", "tokenizer"]
						snake_case__			  =			"AutoImageProcessor"
						snake_case__			  =			"AutoTokenizer"






						def __init__(       self      :			int							,					UpperCAmelCase      :			Any							,					UpperCAmelCase      :			str    ):
													super().__init__(UpperCAmelCase							,					UpperCAmelCase    )
													__lowerCamelCase					:		Union[str, Any]		   =     self.image_processor






						def __call__(       self      :			Optional[int]							,					UpperCAmelCase      :			List[Any]=None							,					UpperCAmelCase      :			Any=None							,					UpperCAmelCase      :			Optional[int]=None							,					**UpperCAmelCase      :			Optional[int]    ):

													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:
																				__lowerCamelCase					:		List[str]		   =     self.tokenizer(UpperCAmelCase							,					return_tensors=UpperCAmelCase							,					**UpperCAmelCase    )

													if images is not None:
																				__lowerCamelCase					:		Optional[int]		   =     self.image_processor(UpperCAmelCase							,					return_tensors=UpperCAmelCase							,					**UpperCAmelCase    )

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






						def       lowerCamelCase__     (       self      :			Tuple							,					*UpperCAmelCase      :			int							,					**UpperCAmelCase      :			Tuple    ):
													return self.tokenizer.batch_decode(*UpperCAmelCase							,					**UpperCAmelCase    )






						def       lowerCamelCase__     (       self      :			int							,					*UpperCAmelCase      :			List[str]							,					**UpperCAmelCase      :			List[str]    ):
													return self.tokenizer.decode(*UpperCAmelCase							,					**UpperCAmelCase    )







						@property
						def       lowerCamelCase__     (       self      :			Union[str, Any]    ):
													return ["input_ids", "attention_mask", "pixel_values"]
"""simple docstring"""





import math


def    lowercase_   (   _lowerCamelCase:	int      ) ->      bool:



							'''simple docstring'''

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5						,   int(math.sqrt(_lowerCamelCase      ) + 1      )						,   6      ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True


def    lowercase_   (   _lowerCamelCase:	int = 10001      ) ->      int:



							'''simple docstring'''

							try:
														__lowerCamelCase					:		Optional[int]		   =     int(_lowerCamelCase      )
							except (TypeError, ValueError):
														raise TypeError("Parameter nth must be int or castable to int."      ) from None
							if nth <= 0:
														raise ValueError("Parameter nth must be greater than or equal to one."      )
							__lowerCamelCase					:		list[int]		   =     []
							__lowerCamelCase					:		Tuple		   =     2
							while len(_lowerCamelCase      ) < nth:
														if is_prime(_lowerCamelCase      ):
																					primes.append(_lowerCamelCase      )
																					num += 1
														else:
																					num += 1
							return primes[len(_lowerCamelCase      ) - 1]


if __name__ == "__main__":
				print(F"""{solution() = }""")