



from collections import Counter
from timeit import timeit





def 							A	(     _UpperCAmelCase				:   str = ""							,   )				-> Union[str, Any]:







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





def 							A	(     _UpperCAmelCase				:   str = ""    )				-> Optional[int]:







			'''simple docstring'''
			if len(_UpperCAmelCase    ) == 0:
						return True
			_UpperCAmelCase		       =   input_str.replace(' '							,   ''    ).lower()
			# character_freq_dict: Stores the frequency of every character in the input string
			_UpperCAmelCase		       =   {}

			for character in lower_case_input_str:
						_UpperCAmelCase		       =   character_freq_dict.get(_UpperCAmelCase							,   0    ) + 1
			_UpperCAmelCase		       =   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 							A	(     _UpperCAmelCase				:   str = ""    )				-> int:







			'''simple docstring'''
			print('\nFor string = '							,   _UpperCAmelCase							,   ':'    )
			print(
			    '> can_string_be_rearranged_as_palindrome_counter()'							,   '\tans ='							,   can_string_be_rearranged_as_palindrome_counter(_UpperCAmelCase    )							,   '\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(_UpperCAmelCase    )							,   '\ttime ='							,   timeit(
			        'z.can_string_be_rearranged_as_palindrome(z.check_str)'							,   setup='import __main__ as z'							,   )							,   'seconds'							,   )


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





# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool




class 					snake_case__						(       lowerCAmelCase_     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	"""philschmid/bart-large-cnn-samsum"""
     _SCREAMING_SNAKE_CASE						=	(
         """This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, """
         """and returns a summary of the text."""
     )
     _SCREAMING_SNAKE_CASE						=	"""summarizer"""
     _SCREAMING_SNAKE_CASE						=	AutoTokenizer
     _SCREAMING_SNAKE_CASE						=	AutoModelForSeqaSeqLM

     _SCREAMING_SNAKE_CASE						=	["""text"""]
     _SCREAMING_SNAKE_CASE						=	["""text"""]






     def    lowercase_   (       self  :  Optional[Any], _snake_case  :  str					)   ->Any:
            return self.pre_processor(_snake_case, return_tensors='pt', truncation=_snake_case					)






     def    lowercase_   (       self  :  int, _snake_case  :  List[Any]					)   ->Any:
            return self.model.generate(**_snake_case					)[0]






     def    lowercase_   (       self  :  int, _snake_case  :  int					)   ->str:
            return self.pre_processor.decode(_snake_case, skip_special_tokens=_snake_case, clean_up_tokenization_spaces=_snake_case					)






