




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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE:    int											=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE:    int											=   {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

SCREAMING_SNAKE_CASE:    str											=   {
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
}

SCREAMING_SNAKE_CASE:    List[Any]											=   {
    '''roberta-base''': 5_1_2,
    '''roberta-large''': 5_1_2,
    '''roberta-large-mnli''': 5_1_2,
    '''distilroberta-base''': 5_1_2,
    '''roberta-base-openai-detector''': 5_1_2,
    '''roberta-large-openai-detector''': 5_1_2,
}


@lru_cache()
def 				_a       (				)->  List[str]:
		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(lowerCAmelCase   )
						cs.append(2**8 + n   )
						n += 1
		SCREAMING_SNAKE_CASE_							=       [chr(lowerCAmelCase   ) for n in cs]
		return dict(zip(lowerCAmelCase						,	lowerCAmelCase   )   )


def 				_a       (				lowerCAmelCase   )->  Dict:
		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       lowercase_		(SCREAMING_SNAKE_CASE__   ):
						lowerCAmelCase__ 			=VOCAB_FILES_NAMES
						lowerCAmelCase__ 			=PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase__ 			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase__ 			=["input_ids", "attention_mask"]



						def __init__( self  :      Any				,       snake_case__  :      Dict				,       snake_case__  :      Optional[Any]				,       snake_case__  :      Optional[int]="replace"				,       snake_case__  :      List[Any]="<s>"				,       snake_case__  :      Union[str, Any]="</s>"				,       snake_case__  :      Any="</s>"				,       snake_case__  :      Any="<s>"				,       snake_case__  :      Any="<unk>"				,       snake_case__  :      Optional[int]="<pad>"				,       snake_case__  :      Any="<mask>"				,       snake_case__  :      List[str]=False				,       **snake_case__  :      List[Any]				,       ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       AddedToken(snake_case__				,       lstrip=snake_case__				,       rstrip=snake_case__     ) if isinstance(snake_case__				,       snake_case__     ) else bos_token
								SCREAMING_SNAKE_CASE_							=       AddedToken(snake_case__				,       lstrip=snake_case__				,       rstrip=snake_case__     ) if isinstance(snake_case__				,       snake_case__     ) else eos_token
								SCREAMING_SNAKE_CASE_							=       AddedToken(snake_case__				,       lstrip=snake_case__				,       rstrip=snake_case__     ) if isinstance(snake_case__				,       snake_case__     ) else sep_token
								SCREAMING_SNAKE_CASE_							=       AddedToken(snake_case__				,       lstrip=snake_case__				,       rstrip=snake_case__     ) if isinstance(snake_case__				,       snake_case__     ) else cls_token
								SCREAMING_SNAKE_CASE_							=       AddedToken(snake_case__				,       lstrip=snake_case__				,       rstrip=snake_case__     ) if isinstance(snake_case__				,       snake_case__     ) else unk_token
								SCREAMING_SNAKE_CASE_							=       AddedToken(snake_case__				,       lstrip=snake_case__				,       rstrip=snake_case__     ) if isinstance(snake_case__				,       snake_case__     ) else pad_token

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

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

								with open(snake_case__				,       encoding='utf-8'     ) as vocab_handle:
										SCREAMING_SNAKE_CASE_							=       json.load(snake_case__     )
								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(snake_case__				,       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(snake_case__				,       range(len(snake_case__     )     )     )     )
								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
						def   __a				( self  :      str     ):

								"""simple docstring"""

								return len(self.encoder     )



						def   __a				( self  :      Dict     ):

								"""simple docstring"""

								return dict(self.encoder				,       **self.added_tokens_encoder     )



						def   __a				( self  :      Union[str, Any]				,       snake_case__  :      List[str]     ):

								"""simple docstring"""

								if token in self.cache:
										return self.cache[token]
								SCREAMING_SNAKE_CASE_							=       tuple(snake_case__     )
								SCREAMING_SNAKE_CASE_							=       get_pairs(snake_case__     )

								if not pairs:
										return token

								while True:
										SCREAMING_SNAKE_CASE_							=       min(snake_case__				,       key=lambda snake_case__     : self.bpe_ranks.get(snake_case__				,       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(snake_case__     ):
												try:
														SCREAMING_SNAKE_CASE_							=       word.index(snake_case__				,       snake_case__     )
												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(snake_case__     ) - 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(snake_case__     )
										SCREAMING_SNAKE_CASE_							=       new_word
										if len(snake_case__     ) == 1:
												break
										else:
												SCREAMING_SNAKE_CASE_							=       get_pairs(snake_case__     )
								SCREAMING_SNAKE_CASE_							=       ' '.join(snake_case__     )
								SCREAMING_SNAKE_CASE_							=       word
								return word



						def   __a				( self  :      Optional[Any]				,       snake_case__  :      List[str]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       []
								for token in re.findall(self.pat				,       snake_case__     ):
										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(snake_case__     ).split(' '     )     )
								return bpe_tokens



						def   __a				( self  :      str				,       snake_case__  :      Dict     ):

								"""simple docstring"""

								return self.encoder.get(snake_case__				,       self.encoder.get(self.unk_token     )     )



						def   __a				( self  :      Dict				,       snake_case__  :      int     ):

								"""simple docstring"""

								return self.decoder.get(snake_case__     )



						def   __a				( self  :      List[Any]				,       snake_case__  :      List[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       ''.join(snake_case__     )
								SCREAMING_SNAKE_CASE_							=       bytearray([self.byte_decoder[c] for c in text]     ).decode('utf-8'				,       errors=self.errors     )
								return text



						def   __a				( self  :      Optional[Any]				,       snake_case__  :      str				,       snake_case__  :      Optional[str] = None     ):

								"""simple docstring"""

								if not os.path.isdir(snake_case__     ):
										logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''     )
										return
								SCREAMING_SNAKE_CASE_							=       os.path.join(
								    snake_case__				,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
								SCREAMING_SNAKE_CASE_							=       os.path.join(
								    snake_case__				,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']     )

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

								SCREAMING_SNAKE_CASE_							=       0
								with open(snake_case__				,       '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 snake_case__     : 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(snake_case__     ) + '\n'     )
												index += 1

								return vocab_file, merge_file



						def   __a				( self  :      Dict				,       snake_case__  :      List[int]				,       snake_case__  :      Optional[List[int]] = None     ):

								"""simple docstring"""

								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   __a				( self  :      Optional[Any]				,       snake_case__  :      List[int]				,       snake_case__  :      Optional[List[int]] = None				,       snake_case__  :      bool = False     ):

								"""simple docstring"""

								if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=snake_case__				,       token_ids_a=snake_case__				,       already_has_special_tokens=snake_case__     )

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



						def   __a				( self  :      List[Any]				,       snake_case__  :      List[int]				,       snake_case__  :      Optional[List[int]] = None     ):

								"""simple docstring"""

								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   __a				( self  :      int				,       snake_case__  :      Optional[Any]				,       snake_case__  :      Any=False				,       **snake_case__  :      Dict     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       kwargs.pop('add_prefix_space'				,       self.add_prefix_space     )
								if (is_split_into_words or add_prefix_space) and (len(snake_case__     ) > 0 and not text[0].isspace()):
										SCREAMING_SNAKE_CASE_							=       ' ' + text
								return (text, kwargs)





from __future__ import annotations

import random
import string



class       lowercase_		:



						def __init__( self  :      str				,       snake_case__  :      str | None = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       passcode or self.__passcode_creator()
								SCREAMING_SNAKE_CASE_							=       self.__make_key_list()
								SCREAMING_SNAKE_CASE_							=       self.__make_shift_key()



						def __str__( self  :      List[Any]     ):

								"""simple docstring"""

								return "".join(self.__passcode     )



						def   __a				( self  :      Union[str, Any]				,       snake_case__  :      list[int]     ):

								"""simple docstring"""

								for i in range(1				,       len(snake_case__     )				,       2     ):
										iterlist[i] *= -1
								return iterlist



						def   __a				( self  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       string.ascii_letters + string.digits
								SCREAMING_SNAKE_CASE_							=       [random.choice(snake_case__     ) for _ in range(random.randint(10				,       20     )     )]
								return password



						def   __a				( self  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       (
								    string.ascii_letters + string.digits + string.punctuation + ' \t\n'
								)

								SCREAMING_SNAKE_CASE_							=       []

								# creates points known as breakpoints to break the key_list_options at those
								# points and pivot each substring
								SCREAMING_SNAKE_CASE_							=       sorted(set(self.__passcode     )     )
								SCREAMING_SNAKE_CASE_							=       []

								# algorithm for creating a new shuffled list, keys_l, out of key_list_options
								for i in key_list_options:
										temp_list.extend(snake_case__     )

										# checking breakpoints at which to pivot temporary sublist and add it into
										# keys_l
										if i in breakpoints or i == key_list_options[-1]:
												keys_l.extend(temp_list[::-1]     )
												temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
								return keys_l



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

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       sum(self.__neg_pos([ord(snake_case__     ) for x in self.__passcode]     )     )
								return num if num > 0 else len(self.__passcode     )



						def   __a				( self  :      str				,       snake_case__  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       ''

								# decoding shift like Caesar cipher algorithm implementing negative shift or
								# reverse shift or left shift
								for i in encoded_message:
										SCREAMING_SNAKE_CASE_							=       self.__key_list.index(snake_case__     )
										decoded_message += self.__key_list[
										    (position - self.__shift_key) % -len(self.__key_list     )
										]

								return decoded_message






						def   __a				( self  :      Optional[int]				,       snake_case__  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       ''

								# encoding shift like Caesar cipher algorithm implementing positive shift or
								# forward shift or right shift
								for i in plaintext:
										SCREAMING_SNAKE_CASE_							=       self.__key_list.index(snake_case__     )
										encoded_message += self.__key_list[
										    (position + self.__shift_key) % len(self.__key_list     )
										]

								return encoded_message


def 				_a       (				lowerCAmelCase = "Hello, this is a modified Caesar cipher"   )->  str:
		SCREAMING_SNAKE_CASE_							=       ShuffledShiftCipher()
		return cipa.decrypt(cipa.encrypt(lowerCAmelCase   )   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()