



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 				snake_case__(_UpperCamelCase      ):

					"""simple docstring"""






					lowercase_								=		["""image_processor""", """tokenizer"""]
					lowercase_								=		"""BridgeTowerImageProcessor"""
					lowercase_								=		("""RobertaTokenizer""", """RobertaTokenizerFast""")







					def __init__(							self :     Dict				,       SCREAMING_SNAKE_CASE :     Dict				,       SCREAMING_SNAKE_CASE :     str					):
									super().__init__(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)







					def __call__(							self :     Dict				,       SCREAMING_SNAKE_CASE :     Optional[Any]				,       SCREAMING_SNAKE_CASE :     Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None				,       SCREAMING_SNAKE_CASE :     bool = True				,       SCREAMING_SNAKE_CASE :     Union[bool, str, PaddingStrategy] = False				,       SCREAMING_SNAKE_CASE :     Union[bool, str, TruncationStrategy] = None				,       SCREAMING_SNAKE_CASE :     Optional[int] = None				,       SCREAMING_SNAKE_CASE :     int = 0				,       SCREAMING_SNAKE_CASE :     Optional[int] = None				,       SCREAMING_SNAKE_CASE :     Optional[bool] = None				,       SCREAMING_SNAKE_CASE :     Optional[bool] = None				,       SCREAMING_SNAKE_CASE :     bool = False				,       SCREAMING_SNAKE_CASE :     bool = False				,       SCREAMING_SNAKE_CASE :     bool = False				,       SCREAMING_SNAKE_CASE :     bool = False				,       SCREAMING_SNAKE_CASE :     bool = True				,       SCREAMING_SNAKE_CASE :     Optional[Union[str, TensorType]] = None				,       **SCREAMING_SNAKE_CASE :     Tuple				,       ):
									lowercase__					:   List[Any]													=					self.tokenizer(
									    text=SCREAMING_SNAKE_CASE				,       add_special_tokens=SCREAMING_SNAKE_CASE				,       padding=SCREAMING_SNAKE_CASE				,       truncation=SCREAMING_SNAKE_CASE				,       max_length=SCREAMING_SNAKE_CASE				,       stride=SCREAMING_SNAKE_CASE				,       pad_to_multiple_of=SCREAMING_SNAKE_CASE				,       return_token_type_ids=SCREAMING_SNAKE_CASE				,       return_attention_mask=SCREAMING_SNAKE_CASE				,       return_overflowing_tokens=SCREAMING_SNAKE_CASE				,       return_special_tokens_mask=SCREAMING_SNAKE_CASE				,       return_offsets_mapping=SCREAMING_SNAKE_CASE				,       return_length=SCREAMING_SNAKE_CASE				,       verbose=SCREAMING_SNAKE_CASE				,       return_tensors=SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE				,       )
									# add pixel_values + pixel_mask
									lowercase__					:   List[Any]													=					self.image_processor(
									    SCREAMING_SNAKE_CASE				,       return_tensors=SCREAMING_SNAKE_CASE				,       do_normalize=SCREAMING_SNAKE_CASE				,       do_center_crop=SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)
									encoding.update(SCREAMING_SNAKE_CASE					)

									return encoding







					def 			snake_case					(							self :     Dict				,       *SCREAMING_SNAKE_CASE :     int				,       **SCREAMING_SNAKE_CASE :     int					):
									return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)







					def 			snake_case					(							self :     List[Any]				,       *SCREAMING_SNAKE_CASE :     List[Any]				,       **SCREAMING_SNAKE_CASE :     Any					):
									return self.tokenizer.decode(*SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)







					@property
					def 			snake_case					(							self :     str					):
									lowercase__					:   Any													=					self.tokenizer.model_input_names
									lowercase__					:   List[str]													=					self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names					)					)









from collections import Counter
from timeit import timeit


def  __lowerCamelCase (       lowerCamelCase__ = ""					,			):

				"""simple docstring"""


				return sum(c % 2 for c in Counter(input_str.replace(" "					,			""						).lower()						).values()						) < 2


def  __lowerCamelCase (       lowerCamelCase__ = ""						):

				"""simple docstring"""


				if len(lowerCamelCase__						) == 0:
								return True
				lowercase__					:   str													=					input_str.replace(" "					,			""						).lower()
				# character_freq_dict: Stores the frequency of every character in the input string
				lowercase__					:   dict[str, int]													=					{}

				for character in lower_case_input_str:
								lowercase__					:   List[Any]													=					character_freq_dict.get(lowerCamelCase__					,			0						) + 1
				lowercase__					:   List[Any]													=					0

				for character_count in character_freq_dict.values():
								if character_count % 2:
												odd_char += 1
				if odd_char > 1:
								return False
				return True


def  __lowerCamelCase (       lowerCamelCase__ = ""						):

				"""simple docstring"""


				print("\nFor string = "					,			lowerCamelCase__					,			":"						)
				print(
				    "> can_string_be_rearranged_as_palindrome_counter()"					,			"\tans ="					,			can_string_be_rearranged_as_palindrome_counter(lowerCamelCase__						)					,			"\ttime ="					,			timeit(
				        "z.can_string_be_rearranged_as_palindrome_counter(z.check_str)"					,			setup="import __main__ as z"					,			)					,			"seconds"					,			)
				print(
				    "> can_string_be_rearranged_as_palindrome()"					,			"\tans ="					,			can_string_be_rearranged_as_palindrome(lowerCamelCase__						)					,			"\ttime ="					,			timeit(
				        "z.can_string_be_rearranged_as_palindrome(z.check_str)"					,			setup="import __main__ as z"					,			)					,			"seconds"					,			)


if __name__ == "__main__":
				lowerCAmelCase__					  =  input(
				    '''Enter string to determine if it can be rearranged as a palindrome or not: '''
				).strip()
				benchmark(check_str)
				lowerCAmelCase__					  =  can_string_be_rearranged_as_palindrome_counter(check_str)
				print(f'''{check_str} can {"" if status else "not "}be rearranged as a palindrome''')




