






'''simple docstring'''

from collections import Counter
from timeit import timeit
def     __lowercase  (_lowercase = "",						)   ->     bool:


					"""simple docstring"""
					return sum(c % 2 for c in Counter(input_str.replace(""" """,						""""""     ).lower()     ).values()     ) < 2
def     __lowercase  (_lowercase = ""     )   ->     bool:


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

					for character in lower_case_input_str:
										__lowerCamelCase						:       List[Any]				   =				character_freq_dict.get(_lowercase,						0     ) + 1
					__lowerCamelCase						:       Optional[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     __lowercase  (_lowercase = ""     )   ->     None:


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


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











'''simple docstring'''

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate







@dataclass(frozen=lowerCAmelCase_  )
class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     str   		=			field(default='automatic-speech-recognition'    ,   metadata={'include_in_asdict_even_if_is_default': True}  )
       snake_case__    :     ClassVar[Features]   		=			Features({'audio': Audio()}  )
       snake_case__    :     ClassVar[Features]   		=			Features({'transcription': Value('string'  )}  )
       snake_case__    :     str   		=			"audio"
       snake_case__    :     str   		=			"transcription"




       def 					a_					(					self      : Any	,    A__      : Any					):


            """simple docstring"""







            if self.audio_column not in features:
                 raise ValueError(f"Column {self.audio_column} is not present in features."					)
            if not isinstance(features[self.audio_column]	,    A__					):
                 raise ValueError(f"Column {self.audio_column} is not an Audio type."					)
            __lowerCamelCase						:       Dict				   =				copy.deepcopy(self					)
            __lowerCamelCase						:       List[Any]				   =				self.input_schema.copy()
            __lowerCamelCase						:       Optional[int]				   =				features[self.audio_column]
            __lowerCamelCase						:       Any				   =				input_schema
            return task_template




       @property
       def 					a_					(					self      : Any					):


            """simple docstring"""







            return {self.audio_column: "audio", self.transcription_column: "transcription"}



