

'''simple docstring'''
from collections import Counter
from timeit import timeit




def 	UpperCamelCase   (       lowercase_						:    str = ""     ,					)		->	bool:




  '''simple docstring'''



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




def 	UpperCamelCase   (       lowercase_						:    str = ""	)		->	bool:




  '''simple docstring'''



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

  for character in lower_case_input_str:
    lowercase									=character_freq_dict.get(lowercase_     ,					0	) + 1
  lowercase									=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 	UpperCamelCase   (       lowercase_						:    str = ""	)		->	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  :		List[str]  =		input(
         '''Enter string to determine if it can be rearranged as a palindrome or not: '''
     ).strip()
     benchmark(check_str)
     _UpperCAmelCase  :		str  =		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 argparse

import OmegaConf
import torch

from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel


def    _snake_case  (	A					,       A					,       A			)		->       Union[str, Any]:
							lowerCAmelCase__			  =      OmegaConf.load(A			)
							lowerCAmelCase__			  =      torch.load(A					,       map_location='''cpu'''			)['''model''']
							lowerCAmelCase__			  =      list(state_dict.keys()			)

							# extract state_dict for VQVAE
							lowerCAmelCase__			  =      {}
							lowerCAmelCase__			  =      '''first_stage_model.'''
							for key in keys:
														if key.startswith(A			):
																					lowerCAmelCase__			  =      state_dict[key]

    # extract state_dict for UNetLDM
							lowerCAmelCase__			  =      {}
							lowerCAmelCase__			  =      '''model.diffusion_model.'''
							for key in keys:
														if key.startswith(A			):
																					lowerCAmelCase__			  =      state_dict[key]

							lowerCAmelCase__			  =      config.model.params.first_stage_config.params
							lowerCAmelCase__			  =      config.model.params.unet_config.params

							lowerCAmelCase__			  =      VQModel(**A			).eval()
							vqvae.load_state_dict(A			)

							lowerCAmelCase__			  =      UNetLDMModel(**A			).eval()
							unet.load_state_dict(A			)

							lowerCAmelCase__			  =      DDIMScheduler(
							    timesteps=config.model.params.timesteps					,       beta_schedule='''scaled_linear'''					,       beta_start=config.model.params.linear_start					,       beta_end=config.model.params.linear_end					,       clip_sample=A					,       )

							lowerCAmelCase__			  =      LDMPipeline(A					,       A					,       A			)
							pipeline.save_pretrained(A			)


if __name__ == "__main__":
		__UpperCAmelCase       							=				argparse.ArgumentParser()
		parser.add_argument('''--checkpoint_path''', type=str, required=True)
		parser.add_argument('''--config_path''', type=str, required=True)
		parser.add_argument('''--output_path''', type=str, required=True)
		__UpperCAmelCase       							=				parser.parse_args()

		convert_ldm_original(args.checkpoint_path, args.config_path, args.output_path)