'''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 __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )     ->   tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:
    # Checks if there are 3 unique rotors

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

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

    # Validates string and returns dict
    __lowerCamelCase          =  _plugboard(UpperCamelCase__    )

    return rotpos, rotsel, pbdict






def __lowerCAmelCase			(							UpperCamelCase__    )     ->   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(UpperCamelCase__    ,  UpperCamelCase__    ):
        __lowerCamelCase          =  f"""Plugboard setting isn't type string ({type(UpperCamelCase__    )})"""
        raise TypeError(UpperCamelCase__    )
    elif len(UpperCamelCase__    ) % 2 != 0:
        __lowerCamelCase          =  f"""Odd number of symbols ({len(UpperCamelCase__    )})"""
        raise Exception(UpperCamelCase__    )
    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(UpperCamelCase__    )
        elif i in tmppbl:
            __lowerCamelCase          =  f"""Duplicate symbol ({i})"""
            raise Exception(UpperCamelCase__    )
        else:
            tmppbl.add(UpperCamelCase__    )
    del tmppbl

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

    return pb






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__ = (rotora, rotora, rotora)    ,  UpperCamelCase__ = ""    ,  )     ->   str:
    __lowerCamelCase          =  text.upper()
    __lowerCamelCase     ,  __lowerCamelCase     ,  __lowerCamelCase          =  _validator(
        UpperCamelCase__    ,  UpperCamelCase__    ,  plugb.upper()    )

    __lowerCamelCase     ,  __lowerCamelCase     ,  __lowerCamelCase          =  rotor_position
    __lowerCamelCase     ,  __lowerCamelCase     ,  __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(UpperCamelCase__    ) + rotorposa
            __lowerCamelCase          =  rotora[index % len(UpperCamelCase__    )]

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

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

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

            __lowerCamelCase          =  reflector[symbol]

            # 2nd rotors
            __lowerCamelCase          =  abc[rotora.index(UpperCamelCase__    ) - rotorposa]
            __lowerCamelCase          =  abc[rotora.index(UpperCamelCase__    ) - rotorposa]
            __lowerCamelCase          =  abc[rotora.index(UpperCamelCase__    ) - rotorposa]

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

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

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

    return "".join(UpperCamelCase__    )


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 itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class    a__				(       UpperCAmelCase__							,       unittest.TestCase			):
     lowerCamelCase  :					Optional[Any]							=LongformerTokenizer
     lowerCamelCase  :					Optional[Any]							=True
     lowerCamelCase  :					List[str]							=LongformerTokenizerFast
     lowerCamelCase  :					Union[str, Any]							=True






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         __lowerCamelCase          =  [
             '''l''',
             '''o''',
             '''w''',
             '''e''',
             '''r''',
             '''s''',
             '''t''',
             '''i''',
             '''d''',
             '''n''',
             '''\u0120''',
             '''\u0120l''',
             '''\u0120n''',
             '''\u0120lo''',
             '''\u0120low''',
             '''er''',
             '''\u0120lowest''',
             '''\u0120newer''',
             '''\u0120wider''',
             '''<unk>''',
         ]
         __lowerCamelCase          =  dict(zip(a  ,    range(len(a   )   )   )   )
         __lowerCamelCase          =  ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
         __lowerCamelCase          =  {'''unk_token''': '''<unk>'''}

         __lowerCamelCase          =  os.path.join(self.tmpdirname  ,    VOCAB_FILES_NAMES['''vocab_file''']   )
         __lowerCamelCase          =  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        SCREAMING_SNAKE_CASE__       (			self		:		int  ,    **a		:		int   ):





         """simple docstring"""



         kwargs.update(self.special_tokens_map   )
         return self.tokenizer_class.from_pretrained(self.tmpdirname  ,    **a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str  ,    **a		:		Dict   ):





         """simple docstring"""



         kwargs.update(self.special_tokens_map   )
         return self.rust_tokenizer_class.from_pretrained(self.tmpdirname  ,    **a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]  ,    a		:		int   ):





         """simple docstring"""



         __lowerCamelCase          =  '''lower newer'''
         __lowerCamelCase          =  '''lower newer'''
         return input_text, output_text






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  self.tokenizer_class(self.vocab_file  ,    self.merges_file  ,    **self.special_tokens_map   )
         __lowerCamelCase          =  '''lower newer'''
         __lowerCamelCase          =  ['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
         __lowerCamelCase          =  tokenizer.tokenize(a   )  # , add_prefix_space=True)
         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  tokens + [tokenizer.unk_token]
         __lowerCamelCase          =  [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(a   )  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Union[str, Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  self.get_tokenizer()

         self.assertListEqual(tokenizer.encode('''Hello world!'''  ,    add_special_tokens=a   )  ,    [0, 3_14_14, 2_32, 3_28, 2]   )
         self.assertListEqual(
             tokenizer.encode('''Hello world! cécé herlolip 418'''  ,    add_special_tokens=a   )  ,    [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]  ,    )






     @slow
     def        SCREAMING_SNAKE_CASE__       (			self		:		Any   ):





         """simple docstring"""



         __lowerCamelCase          =  self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''   )

         __lowerCamelCase          =  tokenizer.encode('''sequence builders'''  ,    add_special_tokens=a   )
         __lowerCamelCase          =  tokenizer.encode('''multi-sequence build'''  ,    add_special_tokens=a   )

         __lowerCamelCase          =  tokenizer.encode(
             '''sequence builders'''  ,    add_special_tokens=a  ,    add_prefix_space=a   )
         __lowerCamelCase          =  tokenizer.encode(
             '''sequence builders'''  ,    '''multi-sequence build'''  ,    add_special_tokens=a  ,    add_prefix_space=a   )

         __lowerCamelCase          =  tokenizer.build_inputs_with_special_tokens(a   )
         __lowerCamelCase          =  tokenizer.build_inputs_with_special_tokens(a  ,    a   )

         assert encoded_sentence == encoded_text_from_decode
         assert encoded_pair == encoded_pair_from_decode






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]   ):





         """simple docstring"""



         __lowerCamelCase          =  self.get_tokenizer()

         __lowerCamelCase          =  '''Encode this sequence.'''
         __lowerCamelCase          =  tokenizer.byte_encoder[''' '''.encode('''utf-8'''   )[0]]

         # Testing encoder arguments
         __lowerCamelCase          =  tokenizer.encode(a  ,    add_special_tokens=a  ,    add_prefix_space=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
         self.assertNotEqual(a  ,    a   )

         __lowerCamelCase          =  tokenizer.encode(a  ,    add_special_tokens=a  ,    add_prefix_space=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
         self.assertEqual(a  ,    a   )

         tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}   )
         __lowerCamelCase          =  tokenizer.encode(a  ,    add_special_tokens=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(encoded[1]   )[0]
         self.assertNotEqual(a  ,    a   )

         # Testing spaces after special tokens
         __lowerCamelCase          =  '''<mask>'''
         tokenizer.add_special_tokens(
             {'''mask_token''': AddedToken(a  ,    lstrip=a  ,    rstrip=a   )}   )  # mask token has a left space
         __lowerCamelCase          =  tokenizer.convert_tokens_to_ids(a   )

         __lowerCamelCase          =  '''Encode <mask> sequence'''
         __lowerCamelCase          =  '''Encode <mask>sequence'''

         __lowerCamelCase          =  tokenizer.encode(a   )
         __lowerCamelCase          =  encoded.index(a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
         self.assertEqual(a  ,    a   )

         __lowerCamelCase          =  tokenizer.encode(a   )
         __lowerCamelCase          =  encoded.index(a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
         self.assertNotEqual(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         pass






     def        SCREAMING_SNAKE_CASE__       (			self		:		Union[str, Any]   ):





         """simple docstring"""



         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""   ):
                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(a  ,    **a   )
                 __lowerCamelCase          =  self.tokenizer_class.from_pretrained(a  ,    **a   )
                 __lowerCamelCase          =  '''A, <mask> AllenNLP sentence.'''
                 __lowerCamelCase          =  tokenizer_r.encode_plus(a  ,    add_special_tokens=a  ,    return_token_type_ids=a   )
                 __lowerCamelCase          =  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''']   )  ,    )

                 __lowerCamelCase          =  tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']   )
                 __lowerCamelCase          =  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, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]   )
                 self.assertSequenceEqual(tokens_r['''input_ids''']  ,    [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]   )

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






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         for trim_offsets, add_prefix_space in itertools.product([True, False]  ,    repeat=2   ):
             __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                 self.tmpdirname  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )

             __lowerCamelCase          =  json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
             __lowerCamelCase          =  json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()   )

             self.assertEqual(pre_tokenizer_state['''add_prefix_space''']  ,    a   )

             self.assertEqual(post_processor_state['''add_prefix_space''']  ,    a   )
             self.assertEqual(post_processor_state['''trim_offsets''']  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Tuple   ):





         """simple docstring"""



         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""   ):
                 __lowerCamelCase          =  '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
                 __lowerCamelCase          =  f"""{text_of_1_token} {text_of_1_token}"""

                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                     a  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )
                 __lowerCamelCase          =  tokenizer_r(a  ,    return_offsets_mapping=a  ,    add_special_tokens=a   )
                 self.assertEqual(encoding.offset_mapping[0]  ,    (0, len(a   ))   )
                 self.assertEqual(
                     encoding.offset_mapping[1]  ,    (len(a   ) + 1, len(a   ) + 1 + len(a   ))  ,    )

                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                     a  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )
                 __lowerCamelCase          =  tokenizer_r(a  ,    return_offsets_mapping=a  ,    add_special_tokens=a   )
                 self.assertEqual(encoding.offset_mapping[0]  ,    (0, len(a   ))   )
                 self.assertEqual(
                     encoding.offset_mapping[1]  ,    (len(a   ) + 1, len(a   ) + 1 + len(a   ))  ,    )

                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                     a  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )
                 __lowerCamelCase          =  tokenizer_r(a  ,    return_offsets_mapping=a  ,    add_special_tokens=a   )
                 self.assertEqual(encoding.offset_mapping[0]  ,    (0, len(a   ))   )
                 self.assertEqual(
                     encoding.offset_mapping[1]  ,    (len(a   ), len(a   ) + 1 + len(a   ))  ,    )

                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                     a  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )
                 __lowerCamelCase          =  tokenizer_r(a  ,    return_offsets_mapping=a  ,    add_special_tokens=a   )
                 self.assertEqual(encoding.offset_mapping[0]  ,    (0, len(a   ))   )
                 self.assertEqual(
                     encoding.offset_mapping[1]  ,    (len(a   ), len(a   ) + 1 + len(a   ))  ,    )

                 __lowerCamelCase          =  f""" {text}"""

                 # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                 #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                 # )
                 # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                 # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                 # self.assertEqual(
                 #     encoding.offset_mapping[1],
                 #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                 # )

                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                     a  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )
                 __lowerCamelCase          =  tokenizer_r(a  ,    return_offsets_mapping=a  ,    add_special_tokens=a   )
                 self.assertEqual(encoding.offset_mapping[0]  ,    (1, 1 + len(a   ))   )
                 self.assertEqual(
                     encoding.offset_mapping[1]  ,    (1 + len(a   ) + 1, 1 + len(a   ) + 1 + len(a   ))  ,    )

                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                     a  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )
                 __lowerCamelCase          =  tokenizer_r(a  ,    return_offsets_mapping=a  ,    add_special_tokens=a   )
                 self.assertEqual(encoding.offset_mapping[0]  ,    (0, 1 + len(a   ))   )
                 self.assertEqual(
                     encoding.offset_mapping[1]  ,    (1 + len(a   ), 1 + len(a   ) + 1 + len(a   ))  ,    )

                 __lowerCamelCase          =  self.rust_tokenizer_class.from_pretrained(
                     a  ,    use_fast=a  ,    add_prefix_space=a  ,    trim_offsets=a   )
                 __lowerCamelCase          =  tokenizer_r(a  ,    return_offsets_mapping=a  ,    add_special_tokens=a   )
                 self.assertEqual(encoding.offset_mapping[0]  ,    (0, 1 + len(a   ))   )
                 self.assertEqual(
                     encoding.offset_mapping[1]  ,    (1 + len(a   ), 1 + len(a   ) + 1 + len(a   ))  ,    )
