"""simple docstring"""







import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class  UpperCamelCase	(    lowercase_		,   unittest.TestCase						):
   lowercase							=						RobertaTokenizer
   lowercase							=						RobertaTokenizerFast
   lowercase							=						True
   lowercase							=						{'cls_token': '<s>'}
   def     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


        super().setUp()

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

        lowercase_			:       Optional[Any]									=			os.path.join(self.tmpdirname  ,VOCAB_FILES_NAMES['vocab_file']    )
        lowercase_			:       Dict									=			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(__UpperCamelCase    ) + '\n'    )
        with open(self.merges_file  ,'w'  ,encoding='utf-8'    ) as fp:
             fp.write('\n'.join(__UpperCamelCase    )    )
   def     _UpperCAmelCase     (    self  ,**__UpperCamelCase    )			->   Union[str, Any]:


        '''simple docstring'''


        kwargs.update(self.special_tokens_map    )
        return self.tokenizer_class.from_pretrained(self.tmpdirname  ,**__UpperCamelCase    )
   def     _UpperCAmelCase     (    self  ,**__UpperCamelCase    )			->   Any:


        '''simple docstring'''


        kwargs.update(self.special_tokens_map    )
        return RobertaTokenizerFast.from_pretrained(self.tmpdirname  ,**__UpperCamelCase    )
   def     _UpperCAmelCase     (    self  ,__UpperCamelCase    )			->   int:


        '''simple docstring'''


        lowercase_			:       int									=			'lower newer'
        lowercase_			:       Any									=			'lower newer'
        return input_text, output_text
   def     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


        lowercase_			:       int									=			self.tokenizer_class(self.vocab_file  ,self.merges_file  ,**self.special_tokens_map    )
        lowercase_			:       Union[str, Any]									=			'lower newer'
        lowercase_			:       Union[str, Any]									=			['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
        lowercase_			:       List[Any]									=			tokenizer.tokenize(__UpperCamelCase    )  # , add_prefix_space=True)
        self.assertListEqual(__UpperCamelCase  ,__UpperCamelCase    )

        lowercase_			:       List[str]									=			tokens + [tokenizer.unk_token]
        lowercase_			:       str									=			[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase    )  ,__UpperCamelCase    )
   def     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


        lowercase_			:       List[Any]									=			self.get_tokenizer()

        self.assertListEqual(tokenizer.encode('Hello world!'  ,add_special_tokens=__UpperCamelCase    )  ,[0, 3_1414, 232, 328, 2]    )
        self.assertListEqual(
            tokenizer.encode('Hello world! cécé herlolip 418'  ,add_special_tokens=__UpperCamelCase    )  ,[0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]  ,)
   @slow
   def     _UpperCAmelCase     (    self    )			->   Any:


        '''simple docstring'''


        lowercase_			:       Optional[int]									=			self.tokenizer_class.from_pretrained('roberta-base'    )

        lowercase_			:       List[Any]									=			tokenizer.encode('sequence builders'  ,add_special_tokens=__UpperCamelCase    )
        lowercase_			:       Optional[Any]									=			tokenizer.encode('multi-sequence build'  ,add_special_tokens=__UpperCamelCase    )

        lowercase_			:       Optional[Any]									=			tokenizer.encode(
            'sequence builders'  ,add_special_tokens=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase    )
        lowercase_			:       Any									=			tokenizer.encode(
            'sequence builders'  ,'multi-sequence build'  ,add_special_tokens=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase    )

        lowercase_			:       Optional[int]									=			tokenizer.build_inputs_with_special_tokens(__UpperCamelCase    )
        lowercase_			:       List[Any]									=			tokenizer.build_inputs_with_special_tokens(__UpperCamelCase  ,__UpperCamelCase    )

        assert encoded_sentence == encoded_text_from_decode
        assert encoded_pair == encoded_pair_from_decode
   def     _UpperCAmelCase     (    self    )			->   List[str]:


        '''simple docstring'''


        lowercase_			:       Union[str, Any]									=			self.get_tokenizer()

        lowercase_			:       Dict									=			'Encode this sequence.'
        lowercase_			:       Optional[int]									=			tokenizer.byte_encoder[' '.encode('utf-8'    )[0]]

        # Testing encoder arguments
        lowercase_			:       str									=			tokenizer.encode(__UpperCamelCase  ,add_special_tokens=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase    )
        lowercase_			:       List[str]									=			tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
        self.assertNotEqual(__UpperCamelCase  ,__UpperCamelCase    )

        lowercase_			:       int									=			tokenizer.encode(__UpperCamelCase  ,add_special_tokens=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase    )
        lowercase_			:       str									=			tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
        self.assertEqual(__UpperCamelCase  ,__UpperCamelCase    )

        tokenizer.add_special_tokens({'bos_token': '<s>'}    )
        lowercase_			:       Dict									=			tokenizer.encode(__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
        lowercase_			:       List[Any]									=			tokenizer.convert_ids_to_tokens(encoded[1]    )[0]
        self.assertNotEqual(__UpperCamelCase  ,__UpperCamelCase    )

        # Testing spaces after special tokens
        lowercase_			:       List[Any]									=			'<mask>'
        tokenizer.add_special_tokens(
            {'mask_token': AddedToken(__UpperCamelCase  ,lstrip=__UpperCamelCase  ,rstrip=__UpperCamelCase    )}    )  # mask token has a left space
        lowercase_			:       Tuple									=			tokenizer.convert_tokens_to_ids(__UpperCamelCase    )

        lowercase_			:       int									=			'Encode <mask> sequence'
        lowercase_			:       List[str]									=			'Encode <mask>sequence'

        lowercase_			:       Union[str, Any]									=			tokenizer.encode(__UpperCamelCase    )
        lowercase_			:       Union[str, Any]									=			encoded.index(__UpperCamelCase    )
        lowercase_			:       List[Any]									=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
        self.assertEqual(__UpperCamelCase  ,__UpperCamelCase    )

        lowercase_			:       List[str]									=			tokenizer.encode(__UpperCamelCase    )
        lowercase_			:       Any									=			encoded.index(__UpperCamelCase    )
        lowercase_			:       Dict									=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
        self.assertNotEqual(__UpperCamelCase  ,__UpperCamelCase    )
   def     _UpperCAmelCase     (    self    )			->   List[Any]:


        '''simple docstring'''


        pass
   def     _UpperCAmelCase     (    self    )			->   Union[str, Any]:


        '''simple docstring'''


        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
                  lowercase_			:       List[Any]									=			self.rust_tokenizer_class.from_pretrained(__UpperCamelCase  ,**__UpperCamelCase    )
                  lowercase_			:       List[str]									=			self.tokenizer_class.from_pretrained(__UpperCamelCase  ,**__UpperCamelCase    )
                  lowercase_			:       Union[str, Any]									=			'A, <mask> AllenNLP sentence.'
                  lowercase_			:       Union[str, Any]									=			tokenizer_r.encode_plus(__UpperCamelCase  ,add_special_tokens=__UpperCamelCase  ,return_token_type_ids=__UpperCamelCase    )
                  lowercase_			:       Optional[int]									=			tokenizer_p.encode_plus(__UpperCamelCase  ,add_special_tokens=__UpperCamelCase  ,return_token_type_ids=__UpperCamelCase    )

                  # 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']    )  ,)

                  lowercase_			:       Dict									=			tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']    )
                  lowercase_			:       Tuple									=			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, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]    )
                  self.assertSequenceEqual(tokens_r['input_ids']  ,[0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]    )

                  self.assertSequenceEqual(
                      __UpperCamelCase  ,['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )
                  self.assertSequenceEqual(
                      __UpperCamelCase  ,['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )
   def     _UpperCAmelCase     (    self    )			->   Optional[int]:


        '''simple docstring'''


        for trim_offsets, add_prefix_space in itertools.product([True, False]  ,repeat=2    ):
             lowercase_			:       Optional[int]									=			self.rust_tokenizer_class.from_pretrained(
                 self.tmpdirname  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )

             lowercase_			:       Union[str, Any]									=			json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()    )
             lowercase_			:       int									=			json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()    )

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

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







   def     _UpperCAmelCase     (    self    )			->   Dict:


        '''simple docstring'''


        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
                  lowercase_			:       int									=			'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                  lowercase_			:       List[str]									=			f'''{text_of_1_token} {text_of_1_token}'''

                  lowercase_			:       List[Any]									=			self.rust_tokenizer_class.from_pretrained(
                      __UpperCamelCase  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )
                  lowercase_			:       Any									=			tokenizer_r(__UpperCamelCase  ,return_offsets_mapping=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
                  self.assertEqual(encoding.offset_mapping[0]  ,(0, len(__UpperCamelCase    ))    )
                  self.assertEqual(
                      encoding.offset_mapping[1]  ,(len(__UpperCamelCase    ) + 1, len(__UpperCamelCase    ) + 1 + len(__UpperCamelCase    ))  ,)

                  lowercase_			:       Dict									=			self.rust_tokenizer_class.from_pretrained(
                      __UpperCamelCase  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )
                  lowercase_			:       Optional[Any]									=			tokenizer_r(__UpperCamelCase  ,return_offsets_mapping=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
                  self.assertEqual(encoding.offset_mapping[0]  ,(0, len(__UpperCamelCase    ))    )
                  self.assertEqual(
                      encoding.offset_mapping[1]  ,(len(__UpperCamelCase    ) + 1, len(__UpperCamelCase    ) + 1 + len(__UpperCamelCase    ))  ,)

                  lowercase_			:       List[str]									=			self.rust_tokenizer_class.from_pretrained(
                      __UpperCamelCase  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )
                  lowercase_			:       Optional[Any]									=			tokenizer_r(__UpperCamelCase  ,return_offsets_mapping=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
                  self.assertEqual(encoding.offset_mapping[0]  ,(0, len(__UpperCamelCase    ))    )
                  self.assertEqual(
                      encoding.offset_mapping[1]  ,(len(__UpperCamelCase    ), len(__UpperCamelCase    ) + 1 + len(__UpperCamelCase    ))  ,)

                  lowercase_			:       List[Any]									=			self.rust_tokenizer_class.from_pretrained(
                      __UpperCamelCase  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )
                  lowercase_			:       Optional[int]									=			tokenizer_r(__UpperCamelCase  ,return_offsets_mapping=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
                  self.assertEqual(encoding.offset_mapping[0]  ,(0, len(__UpperCamelCase    ))    )
                  self.assertEqual(
                      encoding.offset_mapping[1]  ,(len(__UpperCamelCase    ), len(__UpperCamelCase    ) + 1 + len(__UpperCamelCase    ))  ,)

                  lowercase_			:       int									=			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)),
                  # )

                  lowercase_			:       Optional[Any]									=			self.rust_tokenizer_class.from_pretrained(
                      __UpperCamelCase  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )
                  lowercase_			:       Tuple									=			tokenizer_r(__UpperCamelCase  ,return_offsets_mapping=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
                  self.assertEqual(encoding.offset_mapping[0]  ,(1, 1 + len(__UpperCamelCase    ))    )
                  self.assertEqual(
                      encoding.offset_mapping[1]  ,(1 + len(__UpperCamelCase    ) + 1, 1 + len(__UpperCamelCase    ) + 1 + len(__UpperCamelCase    ))  ,)

                  lowercase_			:       List[str]									=			self.rust_tokenizer_class.from_pretrained(
                      __UpperCamelCase  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )
                  lowercase_			:       int									=			tokenizer_r(__UpperCamelCase  ,return_offsets_mapping=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
                  self.assertEqual(encoding.offset_mapping[0]  ,(0, 1 + len(__UpperCamelCase    ))    )
                  self.assertEqual(
                      encoding.offset_mapping[1]  ,(1 + len(__UpperCamelCase    ), 1 + len(__UpperCamelCase    ) + 1 + len(__UpperCamelCase    ))  ,)

                  lowercase_			:       int									=			self.rust_tokenizer_class.from_pretrained(
                      __UpperCamelCase  ,use_fast=__UpperCamelCase  ,add_prefix_space=__UpperCamelCase  ,trim_offsets=__UpperCamelCase    )
                  lowercase_			:       List[Any]									=			tokenizer_r(__UpperCamelCase  ,return_offsets_mapping=__UpperCamelCase  ,add_special_tokens=__UpperCamelCase    )
                  self.assertEqual(encoding.offset_mapping[0]  ,(0, 1 + len(__UpperCamelCase    ))    )
                  self.assertEqual(
                      encoding.offset_mapping[1]  ,(1 + len(__UpperCamelCase    ), 1 + len(__UpperCamelCase    ) + 1 + len(__UpperCamelCase    ))  ,)


"""simple docstring"""







import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812



def     lowercase__( ):
     print('Making key files...'   )
     make_key_files('rsa'  ,    10_24   )
     print('Key files generation successful.'   )



def     lowercase__( __SCREAMING_SNAKE_CASE							:  int   ):
     print('Generating prime p...'   )
     lowercase_			:       List[str]									=			rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE   )
     print('Generating prime q...'   )
     lowercase_			:       int									=			rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE   )
     lowercase_			:       Union[str, Any]									=			p * q

     print('Generating e that is relatively prime to (p - 1) * (q - 1)...'   )
     while True:
          lowercase_			:       str									=			random.randrange(2 ** (key_size - 1)  ,    2 ** (key_size)   )
          if cryptoMath.gcd(__SCREAMING_SNAKE_CASE  ,    (p - 1) * (q - 1)   ) == 1:
               break

     print('Calculating d that is mod inverse of e...'   )
     lowercase_			:       List[str]									=			cryptoMath.find_mod_inverse(__SCREAMING_SNAKE_CASE  ,    (p - 1) * (q - 1)   )

     lowercase_			:       Any									=			(n, e)
     lowercase_			:       int									=			(n, d)
     return (public_key, private_key)



def     lowercase__( __SCREAMING_SNAKE_CASE							:  str  ,    __SCREAMING_SNAKE_CASE							:  int   ):
     if os.path.exists(F'''{name}_pubkey.txt'''   ) or os.path.exists(F'''{name}_privkey.txt'''   ):
          print('\nWARNING:'   )
          print(
              F'''"{name}_pubkey.txt" or "{name}_privkey.txt" already exists. \n'''
              'Use a different name or delete these files and re-run this program.'   )
          sys.exit()

     lowercase_							,						lowercase_			:       int									=			generate_key(__SCREAMING_SNAKE_CASE   )
     print(F'''\nWriting public key to file {name}_pubkey.txt...'''   )
     with open(F'''{name}_pubkey.txt'''  ,    'w'   ) as out_file:
          out_file.write(F'''{key_size},{public_key[0]},{public_key[1]}'''   )

     print(F'''Writing private key to file {name}_privkey.txt...'''   )
     with open(F'''{name}_privkey.txt'''  ,    'w'   ) as out_file:
          out_file.write(F'''{key_size},{private_key[0]},{private_key[1]}'''   )


if __name__ == "__main__":
       main()

