




'''simple docstring'''





from __future__ import annotations

_SCREAMING_SNAKE_CASE							:   List[str]      		= tuple[int, int, int]
_SCREAMING_SNAKE_CASE							:   List[str]      		= tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
_SCREAMING_SNAKE_CASE							:   Dict      		= "ABCDEFGHIJKLMNOPQRSTUVWXYZ"

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


def      UpperCamelCase_(	snake_case							:       Tuple							,				snake_case							:       Union[str, Any]							,				snake_case							:       List[str]     ):

							'''simple docstring'''






							if (unique_rotsel := len(set(__snake_case     )     )) < 3:
														snake_case_						=      f'Please use 3 unique rotors (not {unique_rotsel})'
														raise Exception(__snake_case     )

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

							# Validates string and returns dict
							snake_case_						=      _plugboard(__snake_case     )

							return rotpos, rotsel, pbdict


def      UpperCamelCase_(	snake_case							:       Dict     ):

							'''simple docstring'''






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

							pbstring.replace(" "							,				""     )

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

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

							return pb


def      UpperCamelCase_(	snake_case							:       Optional[int]							,				snake_case							:       str							,				snake_case							:       Optional[Any] = (rotora, rotora, rotora)							,				snake_case							:       Optional[Any] = ""							,				):

							'''simple docstring'''






							snake_case_						=      text.upper()
							snake_case_					,      snake_case_					,      snake_case_						=      _validator(
							    __snake_case							,				__snake_case							,				plugb.upper()     )

							snake_case_					,      snake_case_					,      snake_case_						=      rotor_position
							snake_case_					,      snake_case_					,      snake_case_						=      rotor_selection
							rotorposa -= 1
							rotorposa -= 1
							rotorposa -= 1

							snake_case_						=      []

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

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

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

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

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

																					snake_case_						=      reflector[symbol]

																					# 2nd rotors
																					snake_case_						=      abc[rotora.index(__snake_case     ) - rotorposa]
																					snake_case_						=      abc[rotora.index(__snake_case     ) - rotorposa]
																					snake_case_						=      abc[rotora.index(__snake_case     ) - rotorposa]

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

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

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

							return "".join(__snake_case     )


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

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











from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						["""image_processor""", """tokenizer"""]
			lowerCAmelCase_							     =						"""BlipImageProcessor"""
			lowerCAmelCase_							     =						("""BertTokenizer""", """BertTokenizerFast""")





			def __init__(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		False
				super().__init__(__lowerCAmelCase       ,  __lowerCAmelCase							)
				lowerCamelCase__								=		self.image_processor





			def __call__(    self       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = True       ,  __lowerCAmelCase = False       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = 0       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = False       ,  __lowerCAmelCase = False       ,  __lowerCAmelCase = False       ,  __lowerCAmelCase = False       ,  __lowerCAmelCase = False       ,  __lowerCAmelCase = True       ,  __lowerCAmelCase = None       ,  **__lowerCAmelCase       ,  ):



				'''simple docstring'''







				if images is None and text is None:
					raise ValueError('''You have to specify either images or text.'''							)

				# Get only text
				if images is None:
					lowerCamelCase__								=		self.tokenizer
					lowerCamelCase__								=		self.tokenizer(
					    text=__lowerCAmelCase       ,  add_special_tokens=__lowerCAmelCase       ,  padding=__lowerCAmelCase       ,  truncation=__lowerCAmelCase       ,  max_length=__lowerCAmelCase       ,  stride=__lowerCAmelCase       ,  pad_to_multiple_of=__lowerCAmelCase       ,  return_attention_mask=__lowerCAmelCase       ,  return_overflowing_tokens=__lowerCAmelCase       ,  return_special_tokens_mask=__lowerCAmelCase       ,  return_offsets_mapping=__lowerCAmelCase       ,  return_token_type_ids=__lowerCAmelCase       ,  return_length=__lowerCAmelCase       ,  verbose=__lowerCAmelCase       ,  return_tensors=__lowerCAmelCase       ,  **__lowerCAmelCase       ,  )
					return text_encoding

				# add pixel_values
				lowerCamelCase__								=		self.image_processor(__lowerCAmelCase       ,  return_tensors=__lowerCAmelCase							)

				if text is not None:
					lowerCamelCase__								=		self.tokenizer(
					    text=__lowerCAmelCase       ,  add_special_tokens=__lowerCAmelCase       ,  padding=__lowerCAmelCase       ,  truncation=__lowerCAmelCase       ,  max_length=__lowerCAmelCase       ,  stride=__lowerCAmelCase       ,  pad_to_multiple_of=__lowerCAmelCase       ,  return_attention_mask=__lowerCAmelCase       ,  return_overflowing_tokens=__lowerCAmelCase       ,  return_special_tokens_mask=__lowerCAmelCase       ,  return_offsets_mapping=__lowerCAmelCase       ,  return_token_type_ids=__lowerCAmelCase       ,  return_length=__lowerCAmelCase       ,  verbose=__lowerCAmelCase       ,  return_tensors=__lowerCAmelCase       ,  **__lowerCAmelCase       ,  )
				else:
					lowerCamelCase__								=		None

				if text_encoding is not None:
					encoding_image_processor.update(__lowerCAmelCase							)

				return encoding_image_processor





			def 		__lowerCamelCase				(    self       ,  *__lowerCAmelCase       ,  **__lowerCAmelCase							):



				'''simple docstring'''







				return self.tokenizer.batch_decode(*__lowerCAmelCase       ,  **__lowerCAmelCase							)





			def 		__lowerCamelCase				(    self       ,  *__lowerCAmelCase       ,  **__lowerCAmelCase							):



				'''simple docstring'''







				return self.tokenizer.decode(*__lowerCAmelCase       ,  **__lowerCAmelCase							)





			@property
			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				lowerCamelCase__								=		self.tokenizer.model_input_names
				lowerCamelCase__								=		self.image_processor.model_input_names
				return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names							)							)



