



from collections import Counter
from timeit import timeit
def        lowercase_							(A : str = ""		,					):
       return sum(c % 2 for c in Counter(input_str.replace(' '		,					''      ).lower()      ).values()      ) < 2
def        lowercase_							(A : str = ""      ):
       if len(A      ) == 0:
              return True
       snake_case__							:	Union[str, Any]   	=	input_str.replace(' '		,					''      ).lower()
       # character_freq_dict: Stores the frequency of every character in the input string
       snake_case__							:	dict[str, int]   	=	{}

       for character in lower_case_input_str:
              snake_case__							:	Union[str, Any]   	=	character_freq_dict.get(A		,					0      ) + 1
       snake_case__							:	Optional[int]   	=	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_							(A : str = ""      ):
       print('\nFor string = '		,					A		,					':'      )
       print(
           '> can_string_be_rearranged_as_palindrome_counter()'		,					'\tans ='		,					can_string_be_rearranged_as_palindrome_counter(A      )		,					'\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(A      )		,					'\ttime ='		,					timeit(
               'z.can_string_be_rearranged_as_palindrome(z.check_str)'		,					setup='import __main__ as z'		,					)		,					'seconds'		,					)


if __name__ == "__main__":
 a_   :Union[str, Any]        =      input(
     "Enter string to determine if it can be rearranged as a palindrome or not: "
 ).strip()
 benchmark(check_str)
 a_   :int        =      can_string_be_rearranged_as_palindrome_counter(check_str)
 print(F"""{check_str} can {"" if status else "not "}be rearranged as a palindrome""")











import argparse

import torch

from transformers import LxmertConfig, LxmertForPreTraining, load_tf_weights_in_lxmert
from transformers.utils import logging


logging.set_verbosity_info()
def        lowercase_							(A : str		,					A : List[Any]		,					A : Any      ):
       # Initialise PyTorch model
       snake_case__							:	List[Any]   	=	LxmertConfig.from_json_file(A      )
       print(F'''Building PyTorch model from configuration: {config}'''      )
       snake_case__							:	List[str]   	=	LxmertForPreTraining(A      )

       # Load weights from tf checkpoint
       load_tf_weights_in_lxmert(A		,					A		,					A      )

       # Save pytorch-model
       print(F'''Save PyTorch model to {pytorch_dump_path}'''      )
       torch.save(model.state_dict()		,					A      )


if __name__ == "__main__":
 a_   :Union[str, Any]        =      argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
 )
 parser.add_argument(
     "--config_file",
     default=None,
     type=str,
     required=True,
     help="The config json file corresponding to the pre-trained model. \nThis specifies the model architecture.",
 )
 parser.add_argument(
     "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
 )
 a_   :Optional[int]        =      parser.parse_args()
 convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)






