





'''simple docstring'''






from collections import Counter
from timeit import timeit


def 					_a   (__SCREAMING_SNAKE_CASE = ""  ,      ):


  """simple docstring"""

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


def 					_a   (__SCREAMING_SNAKE_CASE = ""   ):


  """simple docstring"""

  if len(__SCREAMING_SNAKE_CASE   ) == 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(__SCREAMING_SNAKE_CASE  ,      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   (__SCREAMING_SNAKE_CASE = ""   ):


  """simple docstring"""

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


if __name__ == "__main__":
      __lowerCamelCase						: Any		=   input(
          'Enter string to determine if it can be rearranged as a palindrome or not: '
      ).strip()
      benchmark(check_str)
      __lowerCamelCase						: int		=   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'''






# Copyright 2023 The HuggingFace 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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase						: Optional[int]		=   {
    'configuration_xmod': [
        'XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XmodConfig',
        'XmodOnnxConfig',
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase						: int		=   [
          'XMOD_PRETRAINED_MODEL_ARCHIVE_LIST',
          'XmodForCausalLM',
          'XmodForMaskedLM',
          'XmodForMultipleChoice',
          'XmodForQuestionAnswering',
          'XmodForSequenceClassification',
          'XmodForTokenClassification',
          'XmodModel',
          'XmodPreTrainedModel',
      ]

if TYPE_CHECKING:
      from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_xmod import (
                XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
                XmodForCausalLM,
                XmodForMaskedLM,
                XmodForMultipleChoice,
                XmodForQuestionAnswering,
                XmodForSequenceClassification,
                XmodForTokenClassification,
                XmodModel,
                XmodPreTrainedModel,
            )

else:
      import sys

      __lowerCamelCase						: Dict		=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






