



"""simple docstring"""






from __future__ import annotations

lowerCAmelCase__              =							tuple[int, int, int]
lowerCAmelCase__              =							tuple[str, str, str]


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

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






def 			snake_case_    ( A_   :						RotorPositionT,							A_   :						RotorSelectionT,							A_   :						str		):


       '''simple docstring'''





       if (unique_rotsel := len(set(A_		)		)) < 3:
              _lowerCamelCase		:							List[Any]            =					F'''Please use 3 unique rotors (not {unique_rotsel})'''
              raise Exception(A_		)

       # Checks if rotor positions are valid
       _lowerCamelCase     ,       _lowerCamelCase     ,       _lowerCamelCase		:							Optional[Any]            =					rotpos
       if not 0 < rotorposa <= len(A_		):
              _lowerCamelCase		:							Any            =					F'''First rotor position is not within range of 1..26 ({rotorposa}'''
              raise ValueError(A_		)
       if not 0 < rotorposa <= len(A_		):
              _lowerCamelCase		:							Union[str, Any]            =					F'''Second rotor position is not within range of 1..26 ({rotorposa})'''
              raise ValueError(A_		)
       if not 0 < rotorposa <= len(A_		):
              _lowerCamelCase		:							Optional[Any]            =					F'''Third rotor position is not within range of 1..26 ({rotorposa})'''
              raise ValueError(A_		)

       # Validates string and returns dict
       _lowerCamelCase		:							Optional[int]            =					_plugboard(A_		)

       return rotpos, rotsel, pbdict






def 			snake_case_    ( A_   :						str		):


       '''simple docstring'''





       if not isinstance(A_,							A_		):
              _lowerCamelCase		:							List[Any]            =					F'''Plugboard setting isn\'t type string ({type(A_		)})'''
              raise TypeError(A_		)
       elif len(A_		) % 2 != 0:
              _lowerCamelCase		:							Optional[Any]            =					F'''Odd number of symbols ({len(A_		)})'''
              raise Exception(A_		)
       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		:							int            =					F'''\'{i}\' not in list of symbols'''
                     raise Exception(A_		)
              elif i in tmppbl:
                     _lowerCamelCase		:							Optional[int]            =					F'''Duplicate symbol ({i})'''
                     raise Exception(A_		)
              else:
                     tmppbl.add(A_		)
       del tmppbl

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

       return pb






def 			snake_case_    ( A_   :						str,							A_   :						RotorPositionT,							A_   :						RotorSelectionT = (rotora, rotora, rotora),							A_   :						str = "",							):


       '''simple docstring'''





       _lowerCamelCase		:							List[str]            =					text.upper()
       _lowerCamelCase     ,       _lowerCamelCase     ,       _lowerCamelCase		:							int            =					_validator(
           A_,							A_,							plugb.upper()		)

       _lowerCamelCase     ,       _lowerCamelCase     ,       _lowerCamelCase		:							Dict            =					rotor_position
       _lowerCamelCase     ,       _lowerCamelCase     ,       _lowerCamelCase		:							Union[str, Any]            =					rotor_selection
       rotorposa -= 1
       rotorposa -= 1
       rotorposa -= 1

       _lowerCamelCase		:							Any            =					[]

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

                     # rotor ra --------------------------
                     _lowerCamelCase		:							Optional[Any]            =					abc.index(A_		) + rotorposa
                     _lowerCamelCase		:							Any            =					rotora[index % len(A_		)]

                     # rotor rb --------------------------
                     _lowerCamelCase		:							int            =					abc.index(A_		) + rotorposa
                     _lowerCamelCase		:							int            =					rotora[index % len(A_		)]

                     # rotor rc --------------------------
                     _lowerCamelCase		:							str            =					abc.index(A_		) + rotorposa
                     _lowerCamelCase		:							Optional[int]            =					rotora[index % len(A_		)]

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

                     _lowerCamelCase		:							Optional[Any]            =					reflector[symbol]

                     # 2nd rotors
                     _lowerCamelCase		:							List[Any]            =					abc[rotora.index(A_		) - rotorposa]
                     _lowerCamelCase		:							Any            =					abc[rotora.index(A_		) - rotorposa]
                     _lowerCamelCase		:							int            =					abc[rotora.index(A_		) - rotorposa]

                     # 2nd plugboard
                     if symbol in plugboard:
                            _lowerCamelCase		:							Optional[int]            =					plugboard[symbol]

                     # moves/resets rotor positions
                     rotorposa += 1
                     if rotorposa >= len(A_		):
                            _lowerCamelCase		:							Optional[Any]            =					0
                            rotorposa += 1
                     if rotorposa >= len(A_		):
                            _lowerCamelCase		:							Dict            =					0
                            rotorposa += 1
                     if rotorposa >= len(A_		):
                            _lowerCamelCase		:							Dict            =					0

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

       return "".join(A_		)


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

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




import json
import os
import unittest

from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors


@require_tokenizers
class 			lowercase_		(      A  ,      unittest.TestCase       ):
       __lowerCamelCase				       =						MvpTokenizer
       __lowerCamelCase				       =						MvpTokenizerFast
       __lowerCamelCase				       =						True
       __lowerCamelCase				       =						filter_roberta_detectors


       def 	_snake_case				(    self				)						->    int:
              super().setUp()
              SCREAMING_SNAKE_CASE_							:				List[str]		=[
                  '''l''',
                  '''o''',
                  '''w''',
                  '''e''',
                  '''r''',
                  '''s''',
                  '''t''',
                  '''i''',
                  '''d''',
                  '''n''',
                  '''\u0120''',
                  '''\u0120l''',
                  '''\u0120n''',
                  '''\u0120lo''',
                  '''\u0120low''',
                  '''er''',
                  '''\u0120lowest''',
                  '''\u0120newer''',
                  '''\u0120wider''',
                  '''<unk>''',
              ]
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=dict(zip(__A						,       range(len(__A				)				)				)				)
              SCREAMING_SNAKE_CASE_							:				int		=['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
              SCREAMING_SNAKE_CASE_							:				Dict		={'''unk_token''': '''<unk>'''}

              SCREAMING_SNAKE_CASE_							:				Any		=os.path.join(self.tmpdirname						,       VOCAB_FILES_NAMES['''vocab_file''']				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=os.path.join(self.tmpdirname						,       VOCAB_FILES_NAMES['''merges_file''']				)
              with open(self.vocab_file						,       '''w'''						,       encoding='''utf-8'''				) as fp:
                     fp.write(json.dumps(__A				) + '''\n'''				)
              with open(self.merges_file						,       '''w'''						,       encoding='''utf-8'''				) as fp:
                     fp.write('''\n'''.join(__A				)				)


       def 	_snake_case				(    self						,       **__A				)						->    int:
              kwargs.update(self.special_tokens_map				)
              return self.tokenizer_class.from_pretrained(self.tmpdirname						,       **__A				)


       def 	_snake_case				(    self						,       **__A				)						->    Any:
              kwargs.update(self.special_tokens_map				)
              return self.rust_tokenizer_class.from_pretrained(self.tmpdirname						,       **__A				)


       def 	_snake_case				(    self						,       __A				)						->    Any:
              return "lower newer", "lower newer"


       @cached_property
       def 	_snake_case				(    self				)						->    Union[str, Any]:
              return MvpTokenizer.from_pretrained('''RUCAIBox/mvp'''				)


       @cached_property
       def 	_snake_case				(    self				)						->    Optional[int]:
              return MvpTokenizerFast.from_pretrained('''RUCAIBox/mvp'''				)


       @require_torch
       def 	_snake_case				(    self				)						->    List[str]:
              SCREAMING_SNAKE_CASE_							:				str		=['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
              SCREAMING_SNAKE_CASE_							:				Tuple		=[0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

              for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
                     SCREAMING_SNAKE_CASE_							:				List[str]		=tokenizer(__A						,       max_length=len(__A				)						,       padding=__A						,       return_tensors='''pt'''				)
                     self.assertIsInstance(__A						,       __A				)

                     self.assertEqual((2, 9)						,       batch.input_ids.shape				)
                     self.assertEqual((2, 9)						,       batch.attention_mask.shape				)
                     SCREAMING_SNAKE_CASE_							:				Tuple		=batch.input_ids.tolist()[0]
                     self.assertListEqual(__A						,       __A				)
                     # Test that special tokens are reset


       @require_torch
       def 	_snake_case				(    self				)						->    Optional[Any]:
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
              for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
                     SCREAMING_SNAKE_CASE_							:				Dict		=tokenizer(__A						,       padding=__A						,       return_tensors='''pt'''				)
                     # check if input_ids are returned and no labels
                     self.assertIn('''input_ids'''						,       __A				)
                     self.assertIn('''attention_mask'''						,       __A				)
                     self.assertNotIn('''labels'''						,       __A				)
                     self.assertNotIn('''decoder_attention_mask'''						,       __A				)


       @require_torch
       def 	_snake_case				(    self				)						->    Optional[Any]:
              SCREAMING_SNAKE_CASE_							:				Any		=[
                  '''Summary of the text.''',
                  '''Another summary.''',
              ]
              for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
                     SCREAMING_SNAKE_CASE_							:				List[str]		=tokenizer(text_target=__A						,       max_length=32						,       padding='''max_length'''						,       return_tensors='''pt'''				)
                     self.assertEqual(32						,       targets['''input_ids'''].shape[1]				)


       @require_torch
       def 	_snake_case				(    self				)						->    str:
              for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
                     SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer(
                         ['''I am a small frog''' * 1_024, '''I am a small frog''']						,       padding=__A						,       truncation=__A						,       return_tensors='''pt'''				)
                     self.assertIsInstance(__A						,       __A				)
                     self.assertEqual(batch.input_ids.shape						,       (2, 1_024)				)


       @require_torch
       def 	_snake_case				(    self				)						->    Tuple:
              SCREAMING_SNAKE_CASE_							:				str		=['''A long paragraph for summarization.''']
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=[
                  '''Summary of the text.''',
              ]
              for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokenizer(__A						,       text_target=__A						,       return_tensors='''pt'''				)
                     SCREAMING_SNAKE_CASE_							:				Tuple		=inputs['''input_ids''']
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=inputs['''labels''']
                     self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()				)
                     self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()				)
                     self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()				)
                     self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()				)


       def 	_snake_case				(    self				)						->    Any:
              pass





       def 	_snake_case				(    self				)						->    Optional[Any]:
              for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                     with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
                            SCREAMING_SNAKE_CASE_							:				Dict		=self.rust_tokenizer_class.from_pretrained(__A						,       **__A				)
                            SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.tokenizer_class.from_pretrained(__A						,       **__A				)
                            SCREAMING_SNAKE_CASE_							:				List[Any]		='''A, <mask> AllenNLP sentence.'''
                            SCREAMING_SNAKE_CASE_							:				Dict		=tokenizer_r.encode_plus(__A						,       add_special_tokens=__A						,       return_token_type_ids=__A				)
                            SCREAMING_SNAKE_CASE_							:				Any		=tokenizer_p.encode_plus(__A						,       add_special_tokens=__A						,       return_token_type_ids=__A				)

                            # token_type_ids should put 0 everywhere
                            self.assertEqual(sum(tokens_r['''token_type_ids''']				)						,       sum(tokens_p['''token_type_ids''']				)				)

                            # attention_mask should put 1 everywhere, so sum over length should be 1
                            self.assertEqual(
                                sum(tokens_r['''attention_mask''']				) / len(tokens_r['''attention_mask''']				)						,       sum(tokens_p['''attention_mask''']				) / len(tokens_p['''attention_mask''']				)						,       )

                            SCREAMING_SNAKE_CASE_							:				Any		=tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']				)
                            SCREAMING_SNAKE_CASE_							:				List[str]		=tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']				)

                            # Rust correctly handles the space before the mask while python doesnt
                            self.assertSequenceEqual(tokens_p['''input_ids''']						,       [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]				)
                            self.assertSequenceEqual(tokens_r['''input_ids''']						,       [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]				)

                            self.assertSequenceEqual(
                                __A						,       ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']				)
                            self.assertSequenceEqual(
                                __A						,       ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']				)
