
'''simple docstring'''







import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


_snake_case				:   Dict     =				logging.get_logger(__name__)


_snake_case				:   Any     =				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all LED models at https://huggingface.co/models?filter=LED
_snake_case				:   str     =				{
    """vocab_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json""",
    },
}

_snake_case				:   Optional[int]     =				{
    """allenai/led-base-16384""": 16_384,
}



@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 			_a		(	):
      _SCREAMING_SNAKE_CASE				= (
          list(range(ord("!"  )	,			ord("~"  ) + 1  )  ) + list(range(ord("¡"  )	,			ord("¬"  ) + 1  )  ) + list(range(ord("®"  )	,			ord("ÿ"  ) + 1  )  )
      )
      _SCREAMING_SNAKE_CASE				= bs[:]
      _SCREAMING_SNAKE_CASE				= 0
      for b in range(2**8  ):
            if b not in bs:
                  bs.append(_lowercase  )
                  cs.append(2**8 + n  )
                  n += 1
      _SCREAMING_SNAKE_CASE				= [chr(_lowercase  ) for n in cs]
      return dict(zip(_lowercase	,			_lowercase  )  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   int  ):
      _SCREAMING_SNAKE_CASE				= set()
      _SCREAMING_SNAKE_CASE				= word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)  )
            _SCREAMING_SNAKE_CASE				= char
      return pairs




class 			lowerCAmelCase (				__UpperCAmelCase			):
  a							:					Union[str, Any]       =					VOCAB_FILES_NAMES
  a							:					int       =					PRETRAINED_VOCAB_FILES_MAP
  a							:					Any       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a							:					List[str]       =					["""input_ids""", """attention_mask"""]




  def __init__(				self					,						UpperCamelCase					,						UpperCamelCase					,						UpperCamelCase="replace"					,						UpperCamelCase="<s>"					,						UpperCamelCase="</s>"					,						UpperCamelCase="</s>"					,						UpperCamelCase="<s>"					,						UpperCamelCase="<unk>"					,						UpperCamelCase="<pad>"					,						UpperCamelCase="<mask>"					,						UpperCamelCase=False					,						**UpperCamelCase					,						):
        _SCREAMING_SNAKE_CASE				= AddedToken(__A					,						lstrip=__A					,						rstrip=__A      ) if isinstance(__A					,						__A      ) else bos_token
        _SCREAMING_SNAKE_CASE				= AddedToken(__A					,						lstrip=__A					,						rstrip=__A      ) if isinstance(__A					,						__A      ) else eos_token
        _SCREAMING_SNAKE_CASE				= AddedToken(__A					,						lstrip=__A					,						rstrip=__A      ) if isinstance(__A					,						__A      ) else sep_token
        _SCREAMING_SNAKE_CASE				= AddedToken(__A					,						lstrip=__A					,						rstrip=__A      ) if isinstance(__A					,						__A      ) else cls_token
        _SCREAMING_SNAKE_CASE				= AddedToken(__A					,						lstrip=__A					,						rstrip=__A      ) if isinstance(__A					,						__A      ) else unk_token
        _SCREAMING_SNAKE_CASE				= AddedToken(__A					,						lstrip=__A					,						rstrip=__A      ) if isinstance(__A					,						__A      ) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        _SCREAMING_SNAKE_CASE				= AddedToken(__A					,						lstrip=__A					,						rstrip=__A      ) if isinstance(__A					,						__A      ) else mask_token

        super().__init__(
            errors=__A					,						bos_token=__A					,						eos_token=__A					,						unk_token=__A					,						sep_token=__A					,						cls_token=__A					,						pad_token=__A					,						mask_token=__A					,						add_prefix_space=__A					,						**__A					,						)

        with open(__A					,						encoding="utf-8"      ) as vocab_handle:
              _SCREAMING_SNAKE_CASE				= json.load(__A      )
        _SCREAMING_SNAKE_CASE				= {v: k for k, v in self.encoder.items()}
        _SCREAMING_SNAKE_CASE				= errors  # how to handle errors in decoding
        _SCREAMING_SNAKE_CASE				= bytes_to_unicode()
        _SCREAMING_SNAKE_CASE				= {v: k for k, v in self.byte_encoder.items()}
        with open(__A					,						encoding="utf-8"      ) as merges_handle:
              _SCREAMING_SNAKE_CASE				= merges_handle.read().split("\n"      )[1:-1]
        _SCREAMING_SNAKE_CASE				= [tuple(merge.split()      ) for merge in bpe_merges]
        _SCREAMING_SNAKE_CASE				= dict(zip(__A					,						range(len(__A      )      )      )      )
        _SCREAMING_SNAKE_CASE				= {}
        _SCREAMING_SNAKE_CASE				= add_prefix_space

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        _SCREAMING_SNAKE_CASE				= re.compile(R"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"      )




  @property
  # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
  def     lowercase       (				self      ):
        return len(self.encoder      )




  def     lowercase       (				self      ):
        return dict(self.encoder					,						**self.added_tokens_encoder      )




  def     lowercase       (				self					,						UpperCamelCase      ):
        if token in self.cache:
              return self.cache[token]
        _SCREAMING_SNAKE_CASE				= tuple(__A      )
        _SCREAMING_SNAKE_CASE				= get_pairs(__A      )

        if not pairs:
              return token

        while True:
              _SCREAMING_SNAKE_CASE				= min(__A					,						key=lambda UpperCamelCase      : self.bpe_ranks.get(__A					,						float("inf"      )      )      )
              if bigram not in self.bpe_ranks:
                    break
              _SCREAMING_SNAKE_CASE,							_SCREAMING_SNAKE_CASE				= bigram
              _SCREAMING_SNAKE_CASE				= []
              _SCREAMING_SNAKE_CASE				= 0
              while i < len(__A      ):
                    try:
                          _SCREAMING_SNAKE_CASE				= word.index(__A					,						__A      )
                    except ValueError:
                          new_word.extend(word[i:]      )
                          break
                    else:
                          new_word.extend(word[i:j]      )
                          _SCREAMING_SNAKE_CASE				= j

                    if word[i] == first and i < len(__A      ) - 1 and word[i + 1] == second:
                          new_word.append(first + second      )
                          i += 2
                    else:
                          new_word.append(word[i]      )
                          i += 1
              _SCREAMING_SNAKE_CASE				= tuple(__A      )
              _SCREAMING_SNAKE_CASE				= new_word
              if len(__A      ) == 1:
                    break
              else:
                    _SCREAMING_SNAKE_CASE				= get_pairs(__A      )
        _SCREAMING_SNAKE_CASE				= " ".join(__A      )
        _SCREAMING_SNAKE_CASE				= word
        return word




  def     lowercase       (				self					,						UpperCamelCase      ):
        _SCREAMING_SNAKE_CASE				= []
        for token in re.findall(self.pat					,						__A      ):
              _SCREAMING_SNAKE_CASE				= "".join(
                  self.byte_encoder[b] for b in token.encode("utf-8"      )      )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
              bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__A      ).split(" "      )      )
        return bpe_tokens




  def     lowercase       (				self					,						UpperCamelCase      ):
        return self.encoder.get(__A					,						self.encoder.get(self.unk_token      )      )




  def     lowercase       (				self					,						UpperCamelCase      ):
        return self.decoder.get(__A      )




  def     lowercase       (				self					,						UpperCamelCase      ):
        _SCREAMING_SNAKE_CASE				= "".join(__A      )
        _SCREAMING_SNAKE_CASE				= bytearray([self.byte_decoder[c] for c in text]      ).decode("utf-8"					,						errors=self.errors      )
        return text




  def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase = None      ):
        if not os.path.isdir(__A      ):
              logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
              return
        _SCREAMING_SNAKE_CASE				= os.path.join(
            __A					,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]      )
        _SCREAMING_SNAKE_CASE				= os.path.join(
            __A					,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]      )

        with open(__A					,						"w"					,						encoding="utf-8"      ) as f:
              f.write(json.dumps(self.encoder					,						indent=2					,						sort_keys=__A					,						ensure_ascii=__A      ) + "\n"      )

        _SCREAMING_SNAKE_CASE				= 0
        with open(__A					,						"w"					,						encoding="utf-8"      ) as writer:
              writer.write("#version: 0.2\n"      )
              for bpe_tokens, token_index in sorted(self.bpe_ranks.items()					,						key=lambda UpperCamelCase      : kv[1]      ):
                    if index != token_index:
                          logger.warning(
                              F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                              " Please check that the tokenizer is not corrupted!"      )
                          _SCREAMING_SNAKE_CASE				= token_index
                    writer.write(" ".join(__A      ) + "\n"      )
                    index += 1

        return vocab_file, merge_file




  def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase = None      ):
        if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        _SCREAMING_SNAKE_CASE				= [self.cls_token_id]
        _SCREAMING_SNAKE_CASE				= [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep




  def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase = None					,						UpperCamelCase = False      ):
        if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=__A					,						token_ids_a=__A					,						already_has_special_tokens=__A      )

        if token_ids_a is None:
              return [1] + ([0] * len(__A      )) + [1]
        return [1] + ([0] * len(__A      )) + [1, 1] + ([0] * len(__A      )) + [1]




  def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase = None      ):
        _SCREAMING_SNAKE_CASE				= [self.sep_token_id]
        _SCREAMING_SNAKE_CASE				= [self.cls_token_id]

        if token_ids_a is None:
              return len(cls + token_ids_a + sep      ) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]




  def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase=False					,						**UpperCamelCase      ):
        _SCREAMING_SNAKE_CASE				= kwargs.pop("add_prefix_space"					,						self.add_prefix_space      )
        if (is_split_into_words or add_prefix_space) and (len(__A      ) > 0 and not text[0].isspace()):
              _SCREAMING_SNAKE_CASE				= " " + text
        return (text, kwargs)




  def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase = None					,						UpperCamelCase = PaddingStrategy.DO_NOT_PAD					,						UpperCamelCase = None					,						UpperCamelCase = None					,						):
        _SCREAMING_SNAKE_CASE				= super()._pad(
            encoded_inputs=__A					,						max_length=__A					,						padding_strategy=__A					,						pad_to_multiple_of=__A					,						return_attention_mask=__A					,						)

        # Load from model defaults
        if return_attention_mask is None:
              _SCREAMING_SNAKE_CASE				= "attention_mask" in self.model_input_names

        if return_attention_mask and "global_attention_mask" in encoded_inputs:
              _SCREAMING_SNAKE_CASE				= encoded_inputs[self.model_input_names[0]]
              # `global_attention_mask` need to have the same length as other (sequential) inputs.
              _SCREAMING_SNAKE_CASE				= len(encoded_inputs["global_attention_mask"]      ) != len(__A      )

              if needs_to_be_padded:
                    _SCREAMING_SNAKE_CASE				= len(__A      ) - len(encoded_inputs["global_attention_mask"]      )

                    if self.padding_side == "right":
                          # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                          _SCREAMING_SNAKE_CASE				= (
                              encoded_inputs["global_attention_mask"] + [-1] * difference
                          )
                    elif self.padding_side == "left":
                          _SCREAMING_SNAKE_CASE				= [-1] * difference + encoded_inputs[
                              "global_attention_mask"
                          ]
                    else:
                          raise ValueError("Invalid padding strategy:" + str(self.padding_side      )      )

        return encoded_inputs

'''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 			_a		(	):
						print("Making key files..."  )
						make_key_files("rsa"	,			1024  )
						print("Key files generation successful."  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   int  ):
						print("Generating prime p..."  )
						_SCREAMING_SNAKE_CASE				= rabinMiller.generate_large_prime(_SCREAMING_SNAKE_CASE  )
						print("Generating prime q..."  )
						_SCREAMING_SNAKE_CASE				= rabinMiller.generate_large_prime(_SCREAMING_SNAKE_CASE  )
						_SCREAMING_SNAKE_CASE				= p * q

						print("Generating e that is relatively prime to (p - 1) * (q - 1)..."  )
						while True:
												_SCREAMING_SNAKE_CASE				= 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..."  )
						_SCREAMING_SNAKE_CASE				= cryptoMath.find_mod_inverse(_SCREAMING_SNAKE_CASE	,			(p - 1) * (q - 1)  )

						_SCREAMING_SNAKE_CASE				= (n, e)
						_SCREAMING_SNAKE_CASE				= (n, d)
						return (public_key, private_key)



def 			_a		(	_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()

						_SCREAMING_SNAKE_CASE,							_SCREAMING_SNAKE_CASE				= 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()