'''simple docstring'''




from __future__ import annotations

__UpperCAmelCase												=tuple[int, int, int]
__UpperCAmelCase												=tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__UpperCAmelCase												="ABCDEFGHIJKLMNOPQRSTUVWXYZ"

# -------------------------- default selection --------------------------
# rotors --------------------------
__UpperCAmelCase												="EGZWVONAHDCLFQMSIPJBYUKXTR"
__UpperCAmelCase												="FOBHMDKEXQNRAULPGSJVTYICZW"
__UpperCAmelCase												="ZJXESIUQLHAVRMDOYGTNFWPBKC"
# reflector --------------------------
__UpperCAmelCase												={
    "A": "N",
    "N": "A",
    "B": "O",
    "O": "B",
    "C": "P",
    "P": "C",
    "D": "Q",
    "Q": "D",
    "E": "R",
    "R": "E",
    "F": "S",
    "S": "F",
    "G": "T",
    "T": "G",
    "H": "U",
    "U": "H",
    "I": "V",
    "V": "I",
    "J": "W",
    "W": "J",
    "K": "X",
    "X": "K",
    "L": "Y",
    "Y": "L",
    "M": "Z",
    "Z": "M",
}

# -------------------------- extra rotors --------------------------
__UpperCAmelCase												="RMDJXFUWGISLHVTCQNKYPBEZOA"
__UpperCAmelCase												="SGLCPQWZHKXAREONTFBVIYJUDM"
__UpperCAmelCase												="HVSICLTYKQUBXDWAJZOMFGPREN"
__UpperCAmelCase												="RZWQHFMVDBKICJLNTUXAGYPSOE"
__UpperCAmelCase												="LFKIJODBEGAMQPXVUHYSTCZRWN"
__UpperCAmelCase												="KOAEGVDHXPQZMLFTYWJNBRCIUS"






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )     ->   tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:
    # Checks if there are 3 unique rotors

    if (unique_rotsel := len(set(UpperCamelCase__    )    )) < 3:
        __lowerCamelCase          =  f"""Please use 3 unique rotors (not {unique_rotsel})"""
        raise Exception(UpperCamelCase__    )

    # Checks if rotor positions are valid
    __lowerCamelCase     ,  __lowerCamelCase     ,  __lowerCamelCase          =  rotpos
    if not 0 < rotorposa <= len(UpperCamelCase__    ):
        __lowerCamelCase          =  f"""First rotor position is not within range of 1..26 ({rotorposa}"""
        raise ValueError(UpperCamelCase__    )
    if not 0 < rotorposa <= len(UpperCamelCase__    ):
        __lowerCamelCase          =  f"""Second rotor position is not within range of 1..26 ({rotorposa})"""
        raise ValueError(UpperCamelCase__    )
    if not 0 < rotorposa <= len(UpperCamelCase__    ):
        __lowerCamelCase          =  f"""Third rotor position is not within range of 1..26 ({rotorposa})"""
        raise ValueError(UpperCamelCase__    )

    # Validates string and returns dict
    __lowerCamelCase          =  _plugboard(UpperCamelCase__    )

    return rotpos, rotsel, pbdict






def __lowerCAmelCase			(							UpperCamelCase__    )     ->   dict[str, str]:

    # tests the input string if it
    # a) is type string
    # b) has even length (so pairs can be made)
    if not isinstance(UpperCamelCase__    ,  UpperCamelCase__    ):
        __lowerCamelCase          =  f"""Plugboard setting isn't type string ({type(UpperCamelCase__    )})"""
        raise TypeError(UpperCamelCase__    )
    elif len(UpperCamelCase__    ) % 2 != 0:
        __lowerCamelCase          =  f"""Odd number of symbols ({len(UpperCamelCase__    )})"""
        raise Exception(UpperCamelCase__    )
    elif pbstring == "":
        return {}

    pbstring.replace(''' '''    ,  ''''''    )

    # Checks if all characters are unique
    __lowerCamelCase          =  set()
    for i in pbstring:
        if i not in abc:
            __lowerCamelCase          =  f"""'{i}' not in list of symbols"""
            raise Exception(UpperCamelCase__    )
        elif i in tmppbl:
            __lowerCamelCase          =  f"""Duplicate symbol ({i})"""
            raise Exception(UpperCamelCase__    )
        else:
            tmppbl.add(UpperCamelCase__    )
    del tmppbl

    # Created the dictionary
    __lowerCamelCase          =  {}
    for j in range(0    ,  len(UpperCamelCase__    ) - 1    ,  2    ):
        __lowerCamelCase          =  pbstring[j + 1]
        __lowerCamelCase          =  pbstring[j]

    return pb






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__ = (rotora, rotora, rotora)    ,  UpperCamelCase__ = ""    ,  )     ->   str:
    __lowerCamelCase          =  text.upper()
    __lowerCamelCase     ,  __lowerCamelCase     ,  __lowerCamelCase          =  _validator(
        UpperCamelCase__    ,  UpperCamelCase__    ,  plugb.upper()    )

    __lowerCamelCase     ,  __lowerCamelCase     ,  __lowerCamelCase          =  rotor_position
    __lowerCamelCase     ,  __lowerCamelCase     ,  __lowerCamelCase          =  rotor_selection
    rotorposa -= 1
    rotorposa -= 1
    rotorposa -= 1

    __lowerCamelCase          =  []

    # encryption/decryption process --------------------------
    for symbol in text:
        if symbol in abc:
            # 1st plugboard --------------------------
            if symbol in plugboard:
                __lowerCamelCase          =  plugboard[symbol]

            # rotor ra --------------------------
            __lowerCamelCase          =  abc.index(UpperCamelCase__    ) + rotorposa
            __lowerCamelCase          =  rotora[index % len(UpperCamelCase__    )]

            # rotor rb --------------------------
            __lowerCamelCase          =  abc.index(UpperCamelCase__    ) + rotorposa
            __lowerCamelCase          =  rotora[index % len(UpperCamelCase__    )]

            # rotor rc --------------------------
            __lowerCamelCase          =  abc.index(UpperCamelCase__    ) + rotorposa
            __lowerCamelCase          =  rotora[index % len(UpperCamelCase__    )]

            # reflector --------------------------
            # this is the reason you don't need another machine to decipher

            __lowerCamelCase          =  reflector[symbol]

            # 2nd rotors
            __lowerCamelCase          =  abc[rotora.index(UpperCamelCase__    ) - rotorposa]
            __lowerCamelCase          =  abc[rotora.index(UpperCamelCase__    ) - rotorposa]
            __lowerCamelCase          =  abc[rotora.index(UpperCamelCase__    ) - rotorposa]

            # 2nd plugboard
            if symbol in plugboard:
                __lowerCamelCase          =  plugboard[symbol]

            # moves/resets rotor positions
            rotorposa += 1
            if rotorposa >= len(UpperCamelCase__    ):
                __lowerCamelCase          =  0
                rotorposa += 1
            if rotorposa >= len(UpperCamelCase__    ):
                __lowerCamelCase          =  0
                rotorposa += 1
            if rotorposa >= len(UpperCamelCase__    ):
                __lowerCamelCase          =  0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
        result.append(UpperCamelCase__    )

    return "".join(UpperCamelCase__    )


if __name__ == "__main__":
  __UpperCAmelCase												="This is my Python script that emulates the Enigma machine from WWII."
  __UpperCAmelCase												=(1, 1, 1)
  __UpperCAmelCase												="pictures"
  __UpperCAmelCase												=(rotora, rotora, rotora)
  __UpperCAmelCase												=enigma(message, rotor_pos, rotor_sel, pb)

  print("Encrypted message:", en)
  print("Decrypted message:", enigma(en, rotor_pos, rotor_sel, pb))

'''simple docstring'''




import torch

from diffusers import DPMSolverSDEScheduler
from diffusers.utils import torch_device
from diffusers.utils.testing_utils import require_torchsde

from .test_schedulers import SchedulerCommonTest




@require_torchsde
class    a__				(       UpperCAmelCase__			):
     lowerCamelCase  :					Dict							=(DPMSolverSDEScheduler,)
     lowerCamelCase  :					List[str]							=1_0






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]  ,    **a		:		Optional[int]   ):





         """simple docstring"""



         __lowerCamelCase          =  {
             '''num_train_timesteps''': 11_00,
             '''beta_start''': 0.00_01,
             '''beta_end''': 0.02,
             '''beta_schedule''': '''linear''',
             '''noise_sampler_seed''': 0,
         }

         config.update(**a   )
         return config






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         for timesteps in [10, 50, 1_00, 10_00]:
             self.check_over_configs(num_train_timesteps=a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         for beta_start, beta_end in zip([0.0_00_01, 0.00_01, 0.0_01]  ,    [0.00_02, 0.0_02, 0.02]   ):
             self.check_over_configs(beta_start=a  ,    beta_end=a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         for schedule in ["linear", "scaled_linear"]:
             self.check_over_configs(beta_schedule=a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         for prediction_type in ["epsilon", "v_prediction"]:
             self.check_over_configs(prediction_type=a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Tuple   ):





         """simple docstring"""



         __lowerCamelCase          =  self.scheduler_classes[0]
         __lowerCamelCase          =  self.get_scheduler_config()
         __lowerCamelCase          =  scheduler_class(**a   )

         scheduler.set_timesteps(self.num_inference_steps   )

         __lowerCamelCase          =  self.dummy_model()
         __lowerCamelCase          =  self.dummy_sample_deter * scheduler.init_noise_sigma
         __lowerCamelCase          =  sample.to(a   )

         for i, t in enumerate(scheduler.timesteps   ):
             __lowerCamelCase          =  scheduler.scale_model_input(a  ,    a   )

             __lowerCamelCase          =  model(a  ,    a   )

             __lowerCamelCase          =  scheduler.step(a  ,    a  ,    a   )
             __lowerCamelCase          =  output.prev_sample

         __lowerCamelCase          =  torch.sum(torch.abs(a   )   )
         __lowerCamelCase          =  torch.mean(torch.abs(a   )   )

         if torch_device in ["mps"]:
             assert abs(result_sum.item() - 1_67.47_82_10_44_92_18_75   ) < 1e-2
             assert abs(result_mean.item() - 0.21_78_70_59_64_56_52_77   ) < 1e-3
         elif torch_device in ["cuda"]:
             assert abs(result_sum.item() - 1_71.59_35_21_11_81_64_06   ) < 1e-2
             assert abs(result_mean.item() - 0.2_23_42_90_68_92_29_96_52   ) < 1e-3
         else:
             assert abs(result_sum.item() - 1_62.52_38_34_22_85_15_62   ) < 1e-2
             assert abs(result_mean.item() - 0.2_11_61_95_70_85_13_26   ) < 1e-3






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]   ):





         """simple docstring"""



         __lowerCamelCase          =  self.scheduler_classes[0]
         __lowerCamelCase          =  self.get_scheduler_config(prediction_type='''v_prediction'''   )
         __lowerCamelCase          =  scheduler_class(**a   )

         scheduler.set_timesteps(self.num_inference_steps   )

         __lowerCamelCase          =  self.dummy_model()
         __lowerCamelCase          =  self.dummy_sample_deter * scheduler.init_noise_sigma
         __lowerCamelCase          =  sample.to(a   )

         for i, t in enumerate(scheduler.timesteps   ):
             __lowerCamelCase          =  scheduler.scale_model_input(a  ,    a   )

             __lowerCamelCase          =  model(a  ,    a   )

             __lowerCamelCase          =  scheduler.step(a  ,    a  ,    a   )
             __lowerCamelCase          =  output.prev_sample

         __lowerCamelCase          =  torch.sum(torch.abs(a   )   )
         __lowerCamelCase          =  torch.mean(torch.abs(a   )   )

         if torch_device in ["mps"]:
             assert abs(result_sum.item() - 1_24.77_14_92_00_43_94_53   ) < 1e-2
             assert abs(result_mean.item() - 0.1_62_26_28_90_14_81_62_84   ) < 1e-3
         elif torch_device in ["cuda"]:
             assert abs(result_sum.item() - 1_28.1_66_33_60_59_57_03   ) < 1e-2
             assert abs(result_mean.item() - 0.1_66_88_32_60_01_16_72_97   ) < 1e-3
         else:
             assert abs(result_sum.item() - 1_19.8_48_75_48_82_81_25   ) < 1e-2
             assert abs(result_mean.item() - 0.15_60_53_06_62_53_66_21   ) < 1e-3






     def        SCREAMING_SNAKE_CASE__       (			self		:		Dict   ):





         """simple docstring"""



         __lowerCamelCase          =  self.scheduler_classes[0]
         __lowerCamelCase          =  self.get_scheduler_config()
         __lowerCamelCase          =  scheduler_class(**a   )

         scheduler.set_timesteps(self.num_inference_steps  ,    device=a   )

         __lowerCamelCase          =  self.dummy_model()
         __lowerCamelCase          =  self.dummy_sample_deter.to(a   ) * scheduler.init_noise_sigma

         for t in scheduler.timesteps:
             __lowerCamelCase          =  scheduler.scale_model_input(a  ,    a   )

             __lowerCamelCase          =  model(a  ,    a   )

             __lowerCamelCase          =  scheduler.step(a  ,    a  ,    a   )
             __lowerCamelCase          =  output.prev_sample

         __lowerCamelCase          =  torch.sum(torch.abs(a   )   )
         __lowerCamelCase          =  torch.mean(torch.abs(a   )   )

         if torch_device in ["mps"]:
             assert abs(result_sum.item() - 1_67.46_95_73_97_46_09_38   ) < 1e-2
             assert abs(result_mean.item() - 0.2_18_05_93_46_07_98_26_35   ) < 1e-3
         elif torch_device in ["cuda"]:
             assert abs(result_sum.item() - 1_71.59_35_36_37_69_53_12   ) < 1e-2
             assert abs(result_mean.item() - 0.2_23_42_90_83_82_41_57_71   ) < 1e-3
         else:
             assert abs(result_sum.item() - 1_62.52_38_34_22_85_15_62   ) < 1e-2
             assert abs(result_mean.item() - 0.2_11_61_95_70_85_13_26   ) < 1e-3






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]   ):





         """simple docstring"""



         __lowerCamelCase          =  self.scheduler_classes[0]
         __lowerCamelCase          =  self.get_scheduler_config()
         __lowerCamelCase          =  scheduler_class(**a  ,    use_karras_sigmas=a   )

         scheduler.set_timesteps(self.num_inference_steps  ,    device=a   )

         __lowerCamelCase          =  self.dummy_model()
         __lowerCamelCase          =  self.dummy_sample_deter.to(a   ) * scheduler.init_noise_sigma
         __lowerCamelCase          =  sample.to(a   )

         for t in scheduler.timesteps:
             __lowerCamelCase          =  scheduler.scale_model_input(a  ,    a   )

             __lowerCamelCase          =  model(a  ,    a   )

             __lowerCamelCase          =  scheduler.step(a  ,    a  ,    a   )
             __lowerCamelCase          =  output.prev_sample

         __lowerCamelCase          =  torch.sum(torch.abs(a   )   )
         __lowerCamelCase          =  torch.mean(torch.abs(a   )   )

         if torch_device in ["mps"]:
             assert abs(result_sum.item() - 1_76.66_97_41_35_74_21_88   ) < 1e-2
             assert abs(result_mean.item() - 0.2_30_03_87_27_30_98_18_11   ) < 1e-2
         elif torch_device in ["cuda"]:
             assert abs(result_sum.item() - 1_77.63_65_35_64_45_31_25   ) < 1e-2
             assert abs(result_mean.item() - 0.2_30_03_87_27_30_98_18_11   ) < 1e-2
         else:
             assert abs(result_sum.item() - 1_70.3_13_52_23_38_86_72   ) < 1e-2
             assert abs(result_mean.item() - 0.2_30_03_87_27_30_98_18_11   ) < 1e-2
