

"""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       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__					,					lowercase__   )			->						tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:
 # Checks if there are 3 unique rotors

 if (unique_rotsel := len(set(lowercase__   )   )) < 3:
  lowerCAmelCase__   :				Optional[Any] 			=				F"""Please use 3 unique rotors (not {unique_rotsel})"""
  raise Exception(lowercase__   )

 # Checks if rotor positions are valid
 lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__   :				Dict 			=				rotpos
 if not 0 < rotorposa <= len(lowercase__   ):
  lowerCAmelCase__   :				Optional[Any] 			=				F"""First rotor position is not within range of 1..26 ({rotorposa}"""
  raise ValueError(lowercase__   )
 if not 0 < rotorposa <= len(lowercase__   ):
  lowerCAmelCase__   :				Optional[Any] 			=				F"""Second rotor position is not within range of 1..26 ({rotorposa})"""
  raise ValueError(lowercase__   )
 if not 0 < rotorposa <= len(lowercase__   ):
  lowerCAmelCase__   :				List[Any] 			=				F"""Third rotor position is not within range of 1..26 ({rotorposa})"""
  raise ValueError(lowercase__   )

 # Validates string and returns dict
 lowerCAmelCase__   :				Tuple 			=				_plugboard(lowercase__   )

 return rotpos, rotsel, pbdict



def       SCREAMING_SNAKE_CASE							( lowercase__   )			->						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(lowercase__					,					lowercase__   ):
  lowerCAmelCase__   :				str 			=				F"""Plugboard setting isn't type string ({type(lowercase__   )})"""
  raise TypeError(lowercase__   )
 elif len(lowercase__   ) % 2 != 0:
  lowerCAmelCase__   :				Union[str, Any] 			=				F"""Odd number of symbols ({len(lowercase__   )})"""
  raise Exception(lowercase__   )
 elif pbstring == "":
  return {}

 pbstring.replace(" "					,					""   )

 # Checks if all characters are unique
 lowerCAmelCase__   :				Optional[Any] 			=				set()
 for i in pbstring:
  if i not in abc:
   lowerCAmelCase__   :				Optional[Any] 			=				F"""'{i}' not in list of symbols"""
   raise Exception(lowercase__   )
  elif i in tmppbl:
   lowerCAmelCase__   :				Union[str, Any] 			=				F"""Duplicate symbol ({i})"""
   raise Exception(lowercase__   )
  else:
   tmppbl.add(lowercase__   )
 del tmppbl

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

 return pb



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__					,					lowercase__ = (rotora, rotora, rotora)					,					lowercase__ = ""					,					)			->						str:
 lowerCAmelCase__   :				str 			=				text.upper()
 lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__   :				Tuple 			=				_validator(
     lowercase__					,					lowercase__					,					plugb.upper()   )

 lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__   :				List[str] 			=				rotor_position
 lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__   :				Any 			=				rotor_selection
 rotorposa -= 1
 rotorposa -= 1
 rotorposa -= 1

 lowerCAmelCase__   :				Union[str, Any] 			=				[]

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

   # rotor ra --------------------------
   lowerCAmelCase__   :				Union[str, Any] 			=				abc.index(lowercase__   ) + rotorposa
   lowerCAmelCase__   :				Any 			=				rotora[index % len(lowercase__   )]

   # rotor rb --------------------------
   lowerCAmelCase__   :				Any 			=				abc.index(lowercase__   ) + rotorposa
   lowerCAmelCase__   :				Dict 			=				rotora[index % len(lowercase__   )]

   # rotor rc --------------------------
   lowerCAmelCase__   :				List[Any] 			=				abc.index(lowercase__   ) + rotorposa
   lowerCAmelCase__   :				Any 			=				rotora[index % len(lowercase__   )]

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

   lowerCAmelCase__   :				str 			=				reflector[symbol]

   # 2nd rotors
   lowerCAmelCase__   :				Dict 			=				abc[rotora.index(lowercase__   ) - rotorposa]
   lowerCAmelCase__   :				Tuple 			=				abc[rotora.index(lowercase__   ) - rotorposa]
   lowerCAmelCase__   :				List[str] 			=				abc[rotora.index(lowercase__   ) - rotorposa]

   # 2nd plugboard
   if symbol in plugboard:
    lowerCAmelCase__   :				List[str] 			=				plugboard[symbol]

   # moves/resets rotor positions
   rotorposa += 1
   if rotorposa >= len(lowercase__   ):
    lowerCAmelCase__   :				Tuple 			=				0
    rotorposa += 1
   if rotorposa >= len(lowercase__   ):
    lowerCAmelCase__   :				Optional[Any] 			=				0
    rotorposa += 1
   if rotorposa >= len(lowercase__   ):
    lowerCAmelCase__   :				Any 			=				0

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

 return "".join(lowercase__   )


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 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]






