
'''simple docstring'''
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


lowercase__		    =	logging.get_logger(__name__)

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

lowercase__		    =	{
    "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"
        ),
    },
}

lowercase__		    =	{
    "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 					_UpperCamelCase		(    )   ->				Tuple:


		'''simple docstring'''


		snake_case   :    Any			       =		(
		    list(range(ord('''!'''       )      ,    ord('''~'''       ) + 1       )       ) + list(range(ord('''¡'''       )      ,    ord('''¬'''       ) + 1       )       ) + list(range(ord('''®'''       )      ,    ord('''ÿ'''       ) + 1       )       )
		)
		snake_case   :    List[str]			       =		bs[:]
		snake_case   :    Optional[int]			       =		0
		for b in range(2**8       ):
				if b not in bs:
						bs.append(UpperCamelCase__       )
						cs.append(2**8 + n       )
						n += 1
		snake_case   :    Any			       =		[chr(UpperCamelCase__       ) for n in cs]
		return dict(zip(UpperCamelCase__      ,    UpperCamelCase__       )       )




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__       )   ->				Optional[Any]:


		'''simple docstring'''


		snake_case   :    Dict			       =		set()
		snake_case   :    str			       =		word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)       )
				snake_case   :    Union[str, Any]			       =		char
		return pairs






class      snake_case__    (	UpperCamelCase__ ):







		"""simple docstring"""

		lowerCamelCase							=		VOCAB_FILES_NAMES
		lowerCamelCase							=		PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase							=		["""input_ids""", """attention_mask"""]



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






				"""simple docstring"""







				snake_case   :    Optional[int]			       =		AddedToken(__A   ,     lstrip=__A   ,     rstrip=__A	) if isinstance(__A   ,     __A	) else bos_token
				snake_case   :    List[str]			       =		AddedToken(__A   ,     lstrip=__A   ,     rstrip=__A	) if isinstance(__A   ,     __A	) else eos_token
				snake_case   :    int			       =		AddedToken(__A   ,     lstrip=__A   ,     rstrip=__A	) if isinstance(__A   ,     __A	) else sep_token
				snake_case   :    str			       =		AddedToken(__A   ,     lstrip=__A   ,     rstrip=__A	) if isinstance(__A   ,     __A	) else cls_token
				snake_case   :    Union[str, Any]			       =		AddedToken(__A   ,     lstrip=__A   ,     rstrip=__A	) if isinstance(__A   ,     __A	) else unk_token
				snake_case   :    Optional[int]			       =		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
				snake_case   :    Optional[int]			       =		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:
						snake_case   :    Union[str, Any]			       =		json.load(__A	)
				snake_case   :    List[Any]			       =		{v: k for k, v in self.encoder.items()}
				snake_case   :    Dict			       =		errors  # how to handle errors in decoding
				snake_case   :    Dict			       =		bytes_to_unicode()
				snake_case   :    List[str]			       =		{v: k for k, v in self.byte_encoder.items()}
				with open(__A   ,     encoding='''utf-8'''	) as merges_handle:
						snake_case   :    List[Any]			       =		merges_handle.read().split('''\n'''	)[1:-1]
				snake_case   :    List[str]			       =		[tuple(merge.split()	) for merge in bpe_merges]
				snake_case   :    Optional[Any]			       =		dict(zip(__A   ,     range(len(__A	)	)	)	)
				snake_case   :    Any			       =		{}
				snake_case   :    Tuple			       =		add_prefix_space

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



		@property
		def 	lowerCAmelCase							(	self							:       Tuple	)		->       Optional[Any]:






				"""simple docstring"""







				return len(self.encoder	)



		def 	lowerCAmelCase							(	self							:       int	)		->       int:






				"""simple docstring"""







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



		def 	lowerCAmelCase							(	self							:       str   ,     UpperCamelCase__							:       Optional[int]	)		->       Dict:






				"""simple docstring"""







				if token in self.cache:
						return self.cache[token]
				snake_case   :    List[Any]			       =		tuple(__A	)
				snake_case   :    int			       =		get_pairs(__A	)

				if not pairs:
						return token

				while True:
						snake_case   :    List[str]			       =		min(__A   ,     key=lambda UpperCamelCase__	: self.bpe_ranks.get(__A   ,     float('''inf'''	)	)	)
						if bigram not in self.bpe_ranks:
								break
						snake_case       ,snake_case   :    Union[str, Any]			       =		bigram
						snake_case   :    int			       =		[]
						snake_case   :    str			       =		0
						while i < len(__A	):
								try:
										snake_case   :    List[str]			       =		word.index(__A   ,     __A	)
								except ValueError:
										new_word.extend(word[i:]	)
										break
								else:
										new_word.extend(word[i:j]	)
										snake_case   :    Any			       =		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
						snake_case   :    Tuple			       =		tuple(__A	)
						snake_case   :    Any			       =		new_word
						if len(__A	) == 1:
								break
						else:
								snake_case   :    List[Any]			       =		get_pairs(__A	)
				snake_case   :    Optional[Any]			       =		''' '''.join(__A	)
				snake_case   :    Union[str, Any]			       =		word
				return word



		def 	lowerCAmelCase							(	self							:       Optional[Any]   ,     UpperCamelCase__							:       Optional[Any]	)		->       Optional[int]:






				"""simple docstring"""







				snake_case   :    Union[str, Any]			       =		[]
				for token in re.findall(self.pat   ,     __A	):
						snake_case   :    List[Any]			       =		''''''.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 	lowerCAmelCase							(	self							:       Optional[Any]   ,     UpperCamelCase__							:       Optional[Any]	)		->       Optional[Any]:






				"""simple docstring"""







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



		def 	lowerCAmelCase							(	self							:       List[str]   ,     UpperCamelCase__							:       Union[str, Any]	)		->       str:






				"""simple docstring"""







				return self.decoder.get(__A	)



		def 	lowerCAmelCase							(	self							:       int   ,     UpperCamelCase__							:       List[str]	)		->       Dict:






				"""simple docstring"""







				snake_case   :    Dict			       =		''''''.join(__A	)
				snake_case   :    Union[str, Any]			       =		bytearray([self.byte_decoder[c] for c in text]	).decode('''utf-8'''   ,     errors=self.errors	)
				return text



		def 	lowerCAmelCase							(	self							:       str   ,     UpperCamelCase__							:       str   ,     UpperCamelCase__							:       Optional[str] = None	)		->       Tuple[str]:






				"""simple docstring"""







				if not os.path.isdir(__A	):
						logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
						return
				snake_case   :    Tuple			       =		os.path.join(
				    __A   ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
				snake_case   :    Union[str, Any]			       =		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'''	)

				snake_case   :    Tuple			       =		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!'''	)
										snake_case   :    List[Any]			       =		token_index
								writer.write(''' '''.join(__A	) + '''\n'''	)
								index += 1

				return vocab_file, merge_file



		def 	lowerCAmelCase							(	self							:       Optional[Any]   ,     UpperCamelCase__							:       List[int]   ,     UpperCamelCase__							:       Optional[List[int]] = None	)		->       List[int]:






				"""simple docstring"""







				if token_ids_a is None:
						return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				snake_case   :    Tuple			       =		[self.cls_token_id]
				snake_case   :    List[Any]			       =		[self.sep_token_id]
				return cls + token_ids_a + sep + sep + token_ids_a + sep



		def 	lowerCAmelCase							(	self							:       List[str]   ,     UpperCamelCase__							:       List[int]   ,     UpperCamelCase__							:       Optional[List[int]] = None   ,     UpperCamelCase__							:       bool = False	)		->       List[int]:






				"""simple docstring"""







				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 	lowerCAmelCase							(	self							:       Any   ,     UpperCamelCase__							:       List[int]   ,     UpperCamelCase__							:       Optional[List[int]] = None	)		->       List[int]:






				"""simple docstring"""







				snake_case   :    Optional[Any]			       =		[self.sep_token_id]
				snake_case   :    int			       =		[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 	lowerCAmelCase							(	self							:       Optional[int]   ,     UpperCamelCase__							:       List[str]   ,     UpperCamelCase__							:       Tuple=False   ,     **UpperCamelCase__							:       Union[str, Any]	)		->       Tuple:






				"""simple docstring"""







				snake_case   :    List[str]			       =		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()):
						snake_case   :    Union[str, Any]			       =		''' ''' + text
				return (text, kwargs)









from __future__ import annotations

import math
import random






def  SCREAMING_SNAKE_CASE__							(				UpperCamelCase__:							int    ,      UpperCamelCase__:							int    ,      UpperCamelCase__:							int			):
		SCREAMING_SNAKE_CASE__								=					d * e - 1
		SCREAMING_SNAKE_CASE__								=					0
		SCREAMING_SNAKE_CASE__								=					0
		while p == 0:
				SCREAMING_SNAKE_CASE__								=					random.randint(2    ,      n - 1			)
				SCREAMING_SNAKE_CASE__								=					k
				while True:
						if t % 2 == 0:
								SCREAMING_SNAKE_CASE__								=					t // 2
								SCREAMING_SNAKE_CASE__								=					(g**t) % n
								SCREAMING_SNAKE_CASE__								=					math.gcd(x - 1    ,      UpperCamelCase__			)
								if x > 1 and y > 1:
										SCREAMING_SNAKE_CASE__								=					y
										SCREAMING_SNAKE_CASE__								=					n // y
										break  # find the correct factors
						else:
								break  # t is not divisible by 2, break and choose another g
		return sorted([p, q]			)


if __name__ == "__main__":
	import doctest

	doctest.testmod()