
"""simple docstring"""



from __future__ import annotations

_snake_case        =    tuple[int, int, int]
_snake_case        =    tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
_snake_case        =    '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''

# -------------------------- default selection --------------------------
# rotors --------------------------
_snake_case        =    '''EGZWVONAHDCLFQMSIPJBYUKXTR'''
_snake_case        =    '''FOBHMDKEXQNRAULPGSJVTYICZW'''
_snake_case        =    '''ZJXESIUQLHAVRMDOYGTNFWPBKC'''
# reflector --------------------------
_snake_case        =    {
    '''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 --------------------------
_snake_case        =    '''RMDJXFUWGISLHVTCQNKYPBEZOA'''
_snake_case        =    '''SGLCPQWZHKXAREONTFBVIYJUDM'''
_snake_case        =    '''HVSICLTYKQUBXDWAJZOMFGPREN'''
_snake_case        =    '''RZWQHFMVDBKICJLNTUXAGYPSOE'''
_snake_case        =    '''LFKIJODBEGAMQPXVUHYSTCZRWN'''
_snake_case        =    '''KOAEGVDHXPQZMLFTYWJNBRCIUS'''






def 						__snake_case	(     SCREAMING_SNAKE_CASE:       Optional[int]  ,	SCREAMING_SNAKE_CASE:       Tuple  ,	SCREAMING_SNAKE_CASE:       Tuple    ):






							"""simple docstring"""



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

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

							# Validates string and returns dict
							_lowerCAmelCase							=      _plugboard(lowercase__    )

							return rotpos, rotsel, pbdict






def 						__snake_case	(     SCREAMING_SNAKE_CASE:       Optional[Any]    ):






							"""simple docstring"""



							if not isinstance(lowercase__  ,	lowercase__    ):
														_lowerCAmelCase							=      f"""Plugboard setting isn't type string ({type(lowercase__    )})"""
														raise TypeError(lowercase__    )
							elif len(lowercase__    ) % 2 != 0:
														_lowerCAmelCase							=      f"""Odd number of symbols ({len(lowercase__    )})"""
														raise Exception(lowercase__    )
							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(lowercase__    )
														elif i in tmppbl:
																					_lowerCAmelCase							=      f"""Duplicate symbol ({i})"""
																					raise Exception(lowercase__    )
														else:
																					tmppbl.add(lowercase__    )
							del tmppbl

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

							return pb






def 						__snake_case	(     SCREAMING_SNAKE_CASE:       List[Any]  ,	SCREAMING_SNAKE_CASE:       List[str]  ,	SCREAMING_SNAKE_CASE:       Any = (rotora, rotora, rotora)  ,	SCREAMING_SNAKE_CASE:       Union[str, Any] = ""  ,	):






							"""simple docstring"""



							_lowerCAmelCase							=      text.upper()
							_lowerCAmelCase							=      _validator(
							    lowercase__  ,	lowercase__  ,	plugb.upper()    )

							_lowerCAmelCase							=      rotor_position
							_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(lowercase__    ) + rotorposa
																					_lowerCAmelCase							=      rotora[index % len(lowercase__    )]

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

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

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

																					_lowerCAmelCase							=      reflector[symbol]

																					# 2nd rotors
																					_lowerCAmelCase							=      abc[rotora.index(lowercase__    ) - rotorposa]
																					_lowerCAmelCase							=      abc[rotora.index(lowercase__    ) - rotorposa]
																					_lowerCAmelCase							=      abc[rotora.index(lowercase__    ) - rotorposa]

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

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

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

							return "".join(lowercase__    )


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

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









"""simple docstring"""

import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    FEATURE_EXTRACTOR_MAPPING,
    AutoConfig,
    AutoFeatureExtractor,
    WavaVecaConfig,
    WavaVecaFeatureExtractor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_feature_extraction import CustomFeatureExtractor  # noqa E402


_UpperCamelCase		     =    get_tests_dir("""fixtures""")
_UpperCamelCase		     =    get_tests_dir("""fixtures/dummy_feature_extractor_config.json""")
_UpperCamelCase		     =    get_tests_dir("""fixtures/dummy-config.json""")






class 			__a					(						unittest.TestCase       ):





       """simple docstring"""


       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        lowerCAmelCase__   :				Optional[int] 			=				0






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        lowerCAmelCase__   :				Optional[int] 			=				AutoFeatureExtractor.from_pretrained("facebook/wav2vec2-base-960h"   )
        self.assertIsInstance(snake_case			,					snake_case   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        lowerCAmelCase__   :				Tuple 			=				AutoFeatureExtractor.from_pretrained(snake_case   )
        self.assertIsInstance(snake_case			,					snake_case   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        with tempfile.TemporaryDirectory() as tmpdirname:
         lowerCAmelCase__   :				int 			=				WavaVecaConfig()

         # remove feature_extractor_type to make sure config.json alone is enough to load feature processor locally
         lowerCAmelCase__   :				Union[str, Any] 			=				AutoFeatureExtractor.from_pretrained(snake_case   ).to_dict()

         config_dict.pop("feature_extractor_type"   )
         lowerCAmelCase__   :				Any 			=				WavaVecaFeatureExtractor(**snake_case   )

         # save in new folder
         model_config.save_pretrained(snake_case   )
         config.save_pretrained(snake_case   )

         lowerCAmelCase__   :				List[str] 			=				AutoFeatureExtractor.from_pretrained(snake_case   )

         # make sure private variable is not incorrectly saved
         lowerCAmelCase__   :				Optional[int] 			=				json.loads(config.to_json_string()   )
         self.assertTrue("_processor_class" not in dict_as_saved   )

        self.assertIsInstance(snake_case			,					snake_case   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        lowerCAmelCase__   :				List[str] 			=				AutoFeatureExtractor.from_pretrained(snake_case   )
        self.assertIsInstance(snake_case			,					snake_case   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        with self.assertRaisesRegex(
            snake_case			,					"bert-base is not a local folder and is not a valid model identifier"   ):
         lowerCAmelCase__   :				Optional[int] 			=				AutoFeatureExtractor.from_pretrained("bert-base"   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        with self.assertRaisesRegex(
            snake_case			,					R"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"   ):
         lowerCAmelCase__   :				Optional[Any] 			=				AutoFeatureExtractor.from_pretrained(snake_case			,					revision="aaaaaa"   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        with self.assertRaisesRegex(
            snake_case			,					"hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json."			,					):
         lowerCAmelCase__   :				Dict 			=				AutoFeatureExtractor.from_pretrained("hf-internal-testing/config-no-model"   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        with self.assertRaises(snake_case   ):
         lowerCAmelCase__   :				Tuple 			=				AutoFeatureExtractor.from_pretrained(
             "hf-internal-testing/test_dynamic_feature_extractor"   )
        # If remote code is disabled, we can't load this config.
        with self.assertRaises(snake_case   ):
         lowerCAmelCase__   :				str 			=				AutoFeatureExtractor.from_pretrained(
             "hf-internal-testing/test_dynamic_feature_extractor"			,					trust_remote_code=snake_case   )

        lowerCAmelCase__   :				Optional[int] 			=				AutoFeatureExtractor.from_pretrained(
            "hf-internal-testing/test_dynamic_feature_extractor"			,					trust_remote_code=snake_case   )
        self.assertEqual(feature_extractor.__class__.__name__			,					"NewFeatureExtractor"   )

        # Test feature extractor can be reloaded.
        with tempfile.TemporaryDirectory() as tmp_dir:
         feature_extractor.save_pretrained(snake_case   )
         lowerCAmelCase__   :				Optional[Any] 			=				AutoFeatureExtractor.from_pretrained(snake_case			,					trust_remote_code=snake_case   )
        self.assertEqual(reloaded_feature_extractor.__class__.__name__			,					"NewFeatureExtractor"   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        try:
         AutoConfig.register("custom"			,					snake_case   )
         AutoFeatureExtractor.register(snake_case			,					snake_case   )
         # Trying to register something existing in the Transformers library will raise an error
         with self.assertRaises(snake_case   ):
          AutoFeatureExtractor.register(snake_case			,					snake_case   )

         # Now that the config is registered, it can be used as any other config with the auto-API
         lowerCAmelCase__   :				List[Any] 			=				CustomFeatureExtractor.from_pretrained(snake_case   )
         with tempfile.TemporaryDirectory() as tmp_dir:
          feature_extractor.save_pretrained(snake_case   )
          lowerCAmelCase__   :				Any 			=				AutoFeatureExtractor.from_pretrained(snake_case   )
          self.assertIsInstance(snake_case			,					snake_case   )

        finally:
         if "custom" in CONFIG_MAPPING._extra_content:
          del CONFIG_MAPPING._extra_content["custom"]
         if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
          del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        class 			__a					(						__magic_name__       ):





               """simple docstring"""


               __UpperCamelCase					:      Optional[int]    =						True

        try:
         AutoConfig.register("custom"			,					snake_case   )
         AutoFeatureExtractor.register(snake_case			,					snake_case   )
         # If remote code is not set, the default is to use local
         lowerCAmelCase__   :				List[Any] 			=				AutoFeatureExtractor.from_pretrained(
             "hf-internal-testing/test_dynamic_feature_extractor"   )
         self.assertEqual(feature_extractor.__class__.__name__			,					"NewFeatureExtractor"   )
         self.assertTrue(feature_extractor.is_local   )

         # If remote code is disabled, we load the local one.
         lowerCAmelCase__   :				Dict 			=				AutoFeatureExtractor.from_pretrained(
             "hf-internal-testing/test_dynamic_feature_extractor"			,					trust_remote_code=snake_case   )
         self.assertEqual(feature_extractor.__class__.__name__			,					"NewFeatureExtractor"   )
         self.assertTrue(feature_extractor.is_local   )

         # If remote is enabled, we load from the Hub
         lowerCAmelCase__   :				Tuple 			=				AutoFeatureExtractor.from_pretrained(
             "hf-internal-testing/test_dynamic_feature_extractor"			,					trust_remote_code=snake_case   )
         self.assertEqual(feature_extractor.__class__.__name__			,					"NewFeatureExtractor"   )
         self.assertTrue(not hasattr(snake_case			,					"is_local"   )   )

        finally:
         if "custom" in CONFIG_MAPPING._extra_content:
          del CONFIG_MAPPING._extra_content["custom"]
         if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
          del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]






