


"""simple docstring"""







from __future__ import annotations

a__				:							List[str]						=     tuple[int, int, int]
a__				:							Dict						=     tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
a__				:							str						=     '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''

# -------------------------- default selection --------------------------
# rotors --------------------------
a__				:							str						=     '''EGZWVONAHDCLFQMSIPJBYUKXTR'''
a__				:							List[str]						=     '''FOBHMDKEXQNRAULPGSJVTYICZW'''
a__				:							Any						=     '''ZJXESIUQLHAVRMDOYGTNFWPBKC'''
# reflector --------------------------
a__				:							Optional[int]						=     {
    '''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 --------------------------
a__				:							Tuple						=     '''RMDJXFUWGISLHVTCQNKYPBEZOA'''
a__				:							str						=     '''SGLCPQWZHKXAREONTFBVIYJUDM'''
a__				:							Optional[Any]						=     '''HVSICLTYKQUBXDWAJZOMFGPREN'''
a__				:							List[Any]						=     '''RZWQHFMVDBKICJLNTUXAGYPSOE'''
a__				:							Optional[int]						=     '''LFKIJODBEGAMQPXVUHYSTCZRWN'''
a__				:							List[Any]						=     '''KOAEGVDHXPQZMLFTYWJNBRCIUS'''




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


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

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

					# Validates string and returns dict
					__SCREAMING_SNAKE_CASE						   =				_plugboard(lowerCAmelCase_   )

					return rotpos, rotsel, pbdict




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					if not isinstance(lowerCAmelCase_  ,						lowerCAmelCase_   ):
										__SCREAMING_SNAKE_CASE						   =				f"""Plugboard setting isn't type string ({type(lowerCAmelCase_   )})"""
										raise TypeError(lowerCAmelCase_   )
					elif len(lowerCAmelCase_   ) % 2 != 0:
										__SCREAMING_SNAKE_CASE						   =				f"""Odd number of symbols ({len(lowerCAmelCase_   )})"""
										raise Exception(lowerCAmelCase_   )
					elif pbstring == "":
										return {}

					pbstring.replace(" "  ,						""   )

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

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

					return pb




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_ = (rotora, rotora, rotora)  ,						lowerCAmelCase_ = ""  ,						):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				text.upper()
					__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				_validator(
					    lowerCAmelCase_  ,						lowerCAmelCase_  ,						plugb.upper()   )

					__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				rotor_position
					__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				rotor_selection
					rotorposa -= 1
					rotorposa -= 1
					rotorposa -= 1

					__SCREAMING_SNAKE_CASE						   =				[]

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

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

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

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

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

															__SCREAMING_SNAKE_CASE						   =				reflector[symbol]

															# 2nd rotors
															__SCREAMING_SNAKE_CASE						   =				abc[rotora.index(lowerCAmelCase_   ) - rotorposa]
															__SCREAMING_SNAKE_CASE						   =				abc[rotora.index(lowerCAmelCase_   ) - rotorposa]
															__SCREAMING_SNAKE_CASE						   =				abc[rotora.index(lowerCAmelCase_   ) - rotorposa]

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

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

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

					return "".join(lowerCAmelCase_   )


if __name__ == "__main__":
		a__				:							Union[str, Any]						=     '''This is my Python script that emulates the Enigma machine from WWII.'''
		a__				:							Any						=     (1, 1, 1)
		a__				:							Optional[int]						=     '''pictures'''
		a__				:							Union[str, Any]						=     (rotora, rotora, rotora)
		a__				:							Tuple						=     enigma(message, rotor_pos, rotor_sel, pb)

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





'''simple docstring'''




from collections import UserDict
from typing import List, Union

from ..utils import (
    add_end_docstrings,
    is_tf_available,
    is_torch_available,
    is_vision_available,
    logging,
    requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
							from PIL import Image

							from ..image_utils import load_image

if is_torch_available():
							from ..models.auto.modeling_auto import MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING

if is_tf_available():
							from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING
							from ..tf_utils import stable_softmax

a   :			Union[str, Any]					  =    logging.get_logger(__name__)

@add_end_docstrings(__magic_name__			)
class 			UpperCamelCase_ (							__magic_name__			):





	def __init__(  self		,		**A    )			->			List[str]:
								super().__init__(**A    )

								requires_backends(self		,		"""vision"""    )
								self.check_model_type(
								    TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING
								    if self.framework == """tf"""
								    else MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING    )





	def __call__(  self		,		A		,		**A    )			->			Optional[Any]:
								return super().__call__(A		,		**A    )





	def  _lowercase(  self		,		**A    )			->			Optional[Any]:
								UpperCAmelCase     :		List[Any]							     =		{}
								if "candidate_labels" in kwargs:
															UpperCAmelCase     :		Dict							     =		kwargs["""candidate_labels"""]
								if "hypothesis_template" in kwargs:
															UpperCAmelCase     :		Optional[Any]							     =		kwargs["""hypothesis_template"""]

								return preprocess_params, {}, {}





	def  _lowercase(  self		,		A		,		A=None		,		A="This is a photo of {}."    )			->			Optional[Any]:
								UpperCAmelCase     :		int							     =		load_image(A    )
								UpperCAmelCase     :		List[str]							     =		self.image_processor(images=[image]		,		return_tensors=self.framework    )
								UpperCAmelCase     :		List[str]							     =		candidate_labels
								UpperCAmelCase     :		Tuple							     =		[hypothesis_template.format(A    ) for x in candidate_labels]
								UpperCAmelCase     :		Union[str, Any]							     =		self.tokenizer(A		,		return_tensors=self.framework		,		padding=A    )
								UpperCAmelCase     :		Union[str, Any]							     =		[text_inputs]
								return inputs





	def  _lowercase(  self		,		A    )			->			Optional[int]:
								UpperCAmelCase     :		List[Any]							     =		model_inputs.pop("""candidate_labels"""    )
								UpperCAmelCase     :		Optional[Any]							     =		model_inputs.pop("""text_inputs"""    )
								if isinstance(text_inputs[0]		,		A    ):
															UpperCAmelCase     :		Optional[Any]							     =		text_inputs[0]
								else:
															# Batching case.
															UpperCAmelCase     :		Any							     =		text_inputs[0][0]

								UpperCAmelCase     :		Dict							     =		self.model(**A		,		**A    )

								UpperCAmelCase     :		List[Any]							     =		{
								    """candidate_labels""": candidate_labels,
								    """logits""": outputs.logits_per_image,
								}
								return model_outputs






	def  _lowercase(  self		,		A    )			->			Union[str, Any]:
								UpperCAmelCase     :		int							     =		model_outputs.pop("""candidate_labels"""    )
								UpperCAmelCase     :		int							     =		model_outputs["""logits"""][0]
								if self.framework == "pt":
															UpperCAmelCase     :		Optional[int]							     =		logits.softmax(dim=-1    ).squeeze(-1    )
															UpperCAmelCase     :		Any							     =		probs.tolist()
															if not isinstance(A		,		A    ):
																						UpperCAmelCase     :		Any							     =		[scores]
								elif self.framework == "tf":
															UpperCAmelCase     :		List[str]							     =		stable_softmax(A		,		axis=-1    )
															UpperCAmelCase     :		Union[str, Any]							     =		probs.numpy().tolist()
								else:
															raise ValueError(f'''Unsupported framework: {self.framework}'''    )

								UpperCAmelCase     :		Any							     =		[
								    {"""score""": score, """label""": candidate_label}
								    for score, candidate_label in sorted(zip(A		,		A    )		,		key=lambda A    : -x[0]    )
								]
								return result

