




from ....configuration_utils import PretrainedConfig
from ....utils import logging


lowerCAmelCase_					    = logging.get_logger(__name__)

lowerCAmelCase_					    = {
    """CarlCochet/trajectory-transformer-halfcheetah-medium-v2""": (
        """https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json"""
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}






class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		'trajectory_transformer'
      A__		     =		['past_key_values']
      A__		     =		{
          'hidden_size': 'n_embd',
          'num_attention_heads': 'n_head',
          'num_hidden_layers': 'n_layer',
      }

      def __init__(   self      ,				__UpperCAmelCase=100      ,				__UpperCAmelCase=5      ,				__UpperCAmelCase=1      ,				__UpperCAmelCase=1      ,				__UpperCAmelCase=249      ,				__UpperCAmelCase=6      ,				__UpperCAmelCase=17      ,				__UpperCAmelCase=25      ,				__UpperCAmelCase=4      ,				__UpperCAmelCase=4      ,				__UpperCAmelCase=128      ,				__UpperCAmelCase=0.1      ,				__UpperCAmelCase=0.1      ,				__UpperCAmelCase=0.1      ,				__UpperCAmelCase=0.0006      ,				__UpperCAmelCase=512      ,				__UpperCAmelCase=0.02      ,				__UpperCAmelCase=1e-12      ,				__UpperCAmelCase=1      ,				__UpperCAmelCase=True      ,				__UpperCAmelCase=1      ,				__UpperCAmelCase=5_0256      ,				__UpperCAmelCase=5_0256      ,				**__UpperCAmelCase      ,				):
        lowerCAmelCase__				:  Any		       =     vocab_size
        lowerCAmelCase__				:  str		       =     action_weight
        lowerCAmelCase__				:  Dict		       =     reward_weight
        lowerCAmelCase__				:  List[Any]		       =     value_weight
        lowerCAmelCase__				:  List[str]		       =     max_position_embeddings
        lowerCAmelCase__				:  Tuple		       =     block_size
        lowerCAmelCase__				:  List[Any]		       =     action_dim
        lowerCAmelCase__				:  Any		       =     observation_dim
        lowerCAmelCase__				:  List[str]		       =     transition_dim
        lowerCAmelCase__				:  Tuple		       =     learning_rate
        lowerCAmelCase__				:  int		       =     n_layer
        lowerCAmelCase__				:  Optional[Any]		       =     n_head
        lowerCAmelCase__				:  Dict		       =     n_embd
        lowerCAmelCase__				:  Union[str, Any]		       =     embd_pdrop
        lowerCAmelCase__				:  int		       =     attn_pdrop
        lowerCAmelCase__				:  Tuple		       =     resid_pdrop
        lowerCAmelCase__				:  int		       =     initializer_range
        lowerCAmelCase__				:  List[str]		       =     layer_norm_eps
        lowerCAmelCase__				:  Tuple		       =     kaiming_initializer_range
        lowerCAmelCase__				:  List[Any]		       =     use_cache
        super().__init__(pad_token_id=__UpperCAmelCase      ,				bos_token_id=__UpperCAmelCase      ,				eos_token_id=__UpperCAmelCase      ,				**__UpperCAmelCase		)







from collections import Counter
from timeit import timeit



def      __lowerCAmelCase			(					UpperCamelCase = ""	,      )     ->	bool:
  return sum(c % 2 for c in Counter(input_str.replace(''' '''	,      ''''''      ).lower()      ).values()      ) < 2



def      __lowerCAmelCase			(					UpperCamelCase = ""      )     ->	bool:
  if len(UpperCamelCase      ) == 0:
    return True
  lowerCAmelCase__				:  str		       =     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__				:  int		       =     character_freq_dict.get(UpperCamelCase	,      0      ) + 1
  lowerCAmelCase__				:  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			(					UpperCamelCase = ""      )     ->	None:
  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__":
     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""")

