
'''simple docstring'''
import tempfile
import unittest

from diffusers import (
    DDIMScheduler,
    DDPMScheduler,
    DPMSolverMultistepScheduler,
    EulerAncestralDiscreteScheduler,
    EulerDiscreteScheduler,
    PNDMScheduler,
    logging,
)
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.utils.testing_utils import CaptureLogger







class 			__A					(			_SCREAMING_SNAKE_CASE      ):
 lowerCamelCase												='''config.json'''
 @register_to_config
 def __init__( self      :     Dict					, lowerCamelCase      :     Any=2					, lowerCamelCase      :     Optional[Any]=5					, lowerCamelCase      :     Tuple=(2, 5)					, lowerCamelCase      :     int="for diffusion"					, lowerCamelCase      :     List[Any]=[1, 3]					, ):



   """simple docstring"""





   pass







class 			__A					(			_SCREAMING_SNAKE_CASE      ):
 lowerCamelCase												='''config.json'''
 @register_to_config
 def __init__( self      :     Union[str, Any]					, lowerCamelCase      :     Union[str, Any]=2					, lowerCamelCase      :     Tuple=5					, lowerCamelCase      :     Any=(2, 5)					, lowerCamelCase      :     Optional[Any]="for diffusion"					, lowerCamelCase      :     Optional[int]=[1, 3]					, ):



   """simple docstring"""





   pass







class 			__A					(			_SCREAMING_SNAKE_CASE      ):
 lowerCamelCase												='''config.json'''
 @register_to_config
 def __init__( self      :     int					, lowerCamelCase      :     int=2					, lowerCamelCase      :     str=5					, lowerCamelCase      :     Union[str, Any]=(2, 5)					, lowerCamelCase      :     Optional[int]="for diffusion"					, lowerCamelCase      :     Union[str, Any]=[1, 3]					, lowerCamelCase      :     List[str]=[1, 3]					, ):



   """simple docstring"""





   pass







class 			__A					(			_SCREAMING_SNAKE_CASE      ):
 lowerCamelCase												='''config.json'''
 @register_to_config
 def __init__( self      :     Any					, lowerCamelCase      :     Tuple=2					, lowerCamelCase      :     Dict=5					, lowerCamelCase      :     Optional[int]=(2, 5)					, lowerCamelCase      :     Any="for diffusion"					, lowerCamelCase      :     List[Any]=[1, 5]					, lowerCamelCase      :     Optional[int]=[5, 4]					, ):



   """simple docstring"""





   pass







class 			__A					(			unittest.TestCase      ):
 def 		lowercase_( self      :     Any							):



   """simple docstring"""





   with self.assertRaises(lowerCamelCase							):
     ConfigMixin.load_config("""dummy_path"""							)
 def 		lowercase_( self      :     Any							):



   """simple docstring"""





   __A		:  str       				=		SampleObject()
   __A		:  Optional[Any]       				=		obj.config
   assert config["a"] == 2
   assert config["b"] == 5
   assert config["c"] == (2, 5)
   assert config["d"] == "for diffusion"
   assert config["e"] == [1, 3]

   # init ignore private arguments
   __A		:  Any       				=		SampleObject(_name_or_path="""lalala"""							)
   __A		:  List[str]       				=		obj.config
   assert config["a"] == 2
   assert config["b"] == 5
   assert config["c"] == (2, 5)
   assert config["d"] == "for diffusion"
   assert config["e"] == [1, 3]

   # can override default
   __A		:  Any       				=		SampleObject(c=6							)
   __A		:  Optional[Any]       				=		obj.config
   assert config["a"] == 2
   assert config["b"] == 5
   assert config["c"] == 6
   assert config["d"] == "for diffusion"
   assert config["e"] == [1, 3]

   # can use positional arguments.
   __A		:  int       				=		SampleObject(1					, c=6							)
   __A		:  Optional[int]       				=		obj.config
   assert config["a"] == 1
   assert config["b"] == 5
   assert config["c"] == 6
   assert config["d"] == "for diffusion"
   assert config["e"] == [1, 3]
 def 		lowercase_( self      :     List[Any]							):



   """simple docstring"""





   __A		:  str       				=		SampleObject()
   __A		:  Optional[int]       				=		obj.config

   assert config["a"] == 2
   assert config["b"] == 5
   assert config["c"] == (2, 5)
   assert config["d"] == "for diffusion"
   assert config["e"] == [1, 3]

   with tempfile.TemporaryDirectory() as tmpdirname:
     obj.save_config(lowerCamelCase							)
     __A		:  str       				=		SampleObject.from_config(SampleObject.load_config(lowerCamelCase							)							)
     __A		:  int       				=		new_obj.config

   # unfreeze configs
   __A		:  str       				=		dict(lowerCamelCase							)
   __A		:  List[str]       				=		dict(lowerCamelCase							)

   assert config.pop("""c"""							) == (2, 5)  # instantiated as tuple
   assert new_config.pop("""c"""							) == [2, 5]  # saved & loaded as list because of json
   config.pop("""_use_default_values"""							)
   assert config == new_config
 def 		lowercase_( self      :     Optional[int]							):



   """simple docstring"""





   __A		:  Dict       				=		logging.get_logger("""diffusers.configuration_utils"""							)
   # 30 for warning
   logger.setLevel(30							)

   with CaptureLogger(lowerCamelCase							) as cap_logger:
     __A		:  int       				=		DDIMScheduler.from_pretrained(
         """hf-internal-testing/tiny-stable-diffusion-torch"""					, subfolder="""scheduler"""							)

   assert ddim.__class__ == DDIMScheduler
   # no warning should be thrown
   assert cap_logger.out == ""
 def 		lowercase_( self      :     List[str]							):



   """simple docstring"""





   __A		:  int       				=		logging.get_logger("""diffusers.configuration_utils"""							)
   # 30 for warning
   logger.setLevel(30							)

   with CaptureLogger(lowerCamelCase							) as cap_logger:
     __A		:  List[str]       				=		EulerDiscreteScheduler.from_pretrained(
         """hf-internal-testing/tiny-stable-diffusion-torch"""					, subfolder="""scheduler"""							)

   assert euler.__class__ == EulerDiscreteScheduler
   # no warning should be thrown
   assert cap_logger.out == ""
 def 		lowercase_( self      :     List[str]							):



   """simple docstring"""





   __A		:  Union[str, Any]       				=		logging.get_logger("""diffusers.configuration_utils"""							)
   # 30 for warning
   logger.setLevel(30							)

   with CaptureLogger(lowerCamelCase							) as cap_logger:
     __A		:  Dict       				=		EulerAncestralDiscreteScheduler.from_pretrained(
         """hf-internal-testing/tiny-stable-diffusion-torch"""					, subfolder="""scheduler"""							)

   assert euler.__class__ == EulerAncestralDiscreteScheduler
   # no warning should be thrown
   assert cap_logger.out == ""
 def 		lowercase_( self      :     List[Any]							):



   """simple docstring"""





   __A		:  Optional[Any]       				=		logging.get_logger("""diffusers.configuration_utils"""							)
   # 30 for warning
   logger.setLevel(30							)

   with CaptureLogger(lowerCamelCase							) as cap_logger:
     __A		:  List[Any]       				=		PNDMScheduler.from_pretrained(
         """hf-internal-testing/tiny-stable-diffusion-torch"""					, subfolder="""scheduler"""							)

   assert pndm.__class__ == PNDMScheduler
   # no warning should be thrown
   assert cap_logger.out == ""
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  Tuple       				=		logging.get_logger("""diffusers.configuration_utils"""							)
   # 30 for warning
   logger.setLevel(30							)

   with CaptureLogger(lowerCamelCase							) as cap_logger:
     __A		:  Dict       				=		DDPMScheduler.from_pretrained(
         """hf-internal-testing/tiny-stable-diffusion-torch"""					, subfolder="""scheduler"""					, prediction_type="""sample"""					, beta_end=8					, )

   with CaptureLogger(lowerCamelCase							) as cap_logger_a:
     __A		:  List[Any]       				=		DDPMScheduler.from_pretrained("""google/ddpm-celebahq-256"""					, beta_start=88							)

   assert ddpm.__class__ == DDPMScheduler
   assert ddpm.config.prediction_type == "sample"
   assert ddpm.config.beta_end == 8
   assert ddpm_a.config.beta_start == 88

   # no warning should be thrown
   assert cap_logger.out == ""
   assert cap_logger_a.out == ""
 def 		lowercase_( self      :     int							):



   """simple docstring"""





   __A		:  List[Any]       				=		logging.get_logger("""diffusers.configuration_utils"""							)
   # 30 for warning
   logger.setLevel(30							)

   with CaptureLogger(lowerCamelCase							) as cap_logger:
     __A		:  Dict       				=		DPMSolverMultistepScheduler.from_pretrained(
         """hf-internal-testing/tiny-stable-diffusion-torch"""					, subfolder="""scheduler"""							)

   assert dpm.__class__ == DPMSolverMultistepScheduler
   # no warning should be thrown
   assert cap_logger.out == ""






 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  Any       				=		SampleObject()

   __A		:  Union[str, Any]       				=		{k: v for k, v in config.config.items() if not k.startswith("""_"""							)}

   # make sure that default config has all keys in `_use_default_values`
   assert set(config_dict.keys()							) == set(config.config._use_default_values							)

   with tempfile.TemporaryDirectory() as tmpdirname:
     config.save_config(lowerCamelCase							)

     # now loading it with SampleObject2 should put f into `_use_default_values`
     __A		:  Optional[Any]       				=		SampleObjecta.from_config(lowerCamelCase							)

     assert "f" in config._use_default_values
     assert config.f == [1, 3]

   # now loading the config, should **NOT** use [1, 3] for `f`, but the default [1, 4] value
   # **BECAUSE** it is part of `config._use_default_values`
   __A		:  str       				=		SampleObjecta.from_config(config.config							)
   assert new_config.f == [5, 4]

   config.config._use_default_values.pop()
   __A		:  Dict       				=		SampleObjecta.from_config(config.config							)
   assert new_config_a.f == [1, 3]

   # Nevertheless "e" should still be correctly loaded to [1, 3] from SampleObject2 instead of defaulting to [1, 5]
   assert new_config_a.e == [1, 3]





'''simple docstring'''
A__ :		Optional[Any]					=[chr(i) for i in range(32, 126)]
A__ :		Tuple					=list(range(len(alphabets)))
A__ :		int					=list(range(len(alphabets)))
A__ :		Optional[Any]					=list(range(len(alphabets)))
A__ :		Any					=list(reversed(range(len(alphabets))))
A__ :		Optional[int]					=[]
A__ :		Tuple					=0







def 							A_  (    )					->							Any:





  """simple docstring"""

  global gear_one_pos
  global gear_two_pos
  global gear_three_pos
  __A		:  Any       				=		gear_one[0]
  gear_one.append(__SCREAMING_SNAKE_CASE			)
  del gear_one[0]
  gear_one_pos += 1
  if gear_one_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
    __A		:  Any       				=		gear_two[0]
    gear_two.append(__SCREAMING_SNAKE_CASE			)
    del gear_two[0]
    gear_two_pos += 1
    if gear_two_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
      __A		:  str       				=		gear_three[0]
      gear_three.append(__SCREAMING_SNAKE_CASE			)
      del gear_three[0]
      gear_three_pos += 1







def 							A_  (    __SCREAMING_SNAKE_CASE    :	str			)					->							List[str]:





  """simple docstring"""

  __A		:  Union[str, Any]       				=		alphabets.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Dict       				=		gear_one[target]
  __A		:  int       				=		gear_two[target]
  __A		:  List[str]       				=		gear_three[target]
  __A		:  List[Any]       				=		reflector[target]
  __A		:  List[Any]       				=		gear_three.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Tuple       				=		gear_two.index(__SCREAMING_SNAKE_CASE			)
  __A		:  List[str]       				=		gear_one.index(__SCREAMING_SNAKE_CASE			)
  code.append(alphabets[target]			)
  rotator()


if __name__ == "__main__":
     A__ :		int					=list(input('Type your message:\n'))
     while True:
          try:
               A__ :		Any					=int(input('Please set token:(must be only digits)\n'))
               break
          except Exception as error:
               print(error)
     for _ in range(token):
          rotator()
     for j in decode:
          engine(j)
     print('\n' + ''.join(code))
     print(
         F"\nYour Token is {token} please write it down.\nIf you want to decode "
         'this message again you should input same digits as token!'
     )



