


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


__UpperCAmelCase      			=  logging.get_logger(__name__)

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

__UpperCAmelCase      			=  {
    """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"""
        ),
    },
}

__UpperCAmelCase      			=  {
    """roberta-base""": 512,
    """roberta-large""": 512,
    """roberta-large-mnli""": 512,
    """distilroberta-base""": 512,
    """roberta-base-openai-detector""": 512,
    """roberta-large-openai-detector""": 512,
}
@lru_cache()
def 	_lowerCamelCase  (		)			->			int:

   '''simple docstring'''






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

   '''simple docstring'''






   UpperCamelCase__ :			List[str] 						=set()
   UpperCamelCase__ :			Tuple 						=word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)      )
      UpperCamelCase__ :			List[Any] 						=char
   return pairs



class 							lowercase__(						snake_case__			):






      '''simple docstring'''







      snake_case__       =					VOCAB_FILES_NAMES
      snake_case__       =					PRETRAINED_VOCAB_FILES_MAP
      snake_case__       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__       =					['''input_ids''', '''attention_mask''']




      def __init__(		self   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE="replace"   ,			__SCREAMING_SNAKE_CASE="<s>"   ,			__SCREAMING_SNAKE_CASE="</s>"   ,			__SCREAMING_SNAKE_CASE="</s>"   ,			__SCREAMING_SNAKE_CASE="<s>"   ,			__SCREAMING_SNAKE_CASE="<unk>"   ,			__SCREAMING_SNAKE_CASE="<pad>"   ,			__SCREAMING_SNAKE_CASE="<mask>"   ,			__SCREAMING_SNAKE_CASE=False   ,			**__SCREAMING_SNAKE_CASE   ,			)					->						List[str]:







         """simple docstring"""







         UpperCamelCase__ :			List[str] 						=AddedToken(__SCREAMING_SNAKE_CASE   ,			lstrip=__SCREAMING_SNAKE_CASE   ,			rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE) else bos_token
         UpperCamelCase__ :			int 						=AddedToken(__SCREAMING_SNAKE_CASE   ,			lstrip=__SCREAMING_SNAKE_CASE   ,			rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE) else eos_token
         UpperCamelCase__ :			Dict 						=AddedToken(__SCREAMING_SNAKE_CASE   ,			lstrip=__SCREAMING_SNAKE_CASE   ,			rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE) else sep_token
         UpperCamelCase__ :			Dict 						=AddedToken(__SCREAMING_SNAKE_CASE   ,			lstrip=__SCREAMING_SNAKE_CASE   ,			rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE) else cls_token
         UpperCamelCase__ :			Any 						=AddedToken(__SCREAMING_SNAKE_CASE   ,			lstrip=__SCREAMING_SNAKE_CASE   ,			rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE) else unk_token
         UpperCamelCase__ :			Union[str, Any] 						=AddedToken(__SCREAMING_SNAKE_CASE   ,			lstrip=__SCREAMING_SNAKE_CASE   ,			rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE) else pad_token

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

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

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

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




      @property
      def    UpperCAmelCase							(		self)					->						List[str]:







         """simple docstring"""







         return len(self.encoder)




      def    UpperCAmelCase							(		self)					->						List[Any]:







         """simple docstring"""







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




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						Dict:







         """simple docstring"""







         if token in self.cache:
            return self.cache[token]
         UpperCamelCase__ :			str 						=tuple(__SCREAMING_SNAKE_CASE)
         UpperCamelCase__ :			List[str] 						=get_pairs(__SCREAMING_SNAKE_CASE)

         if not pairs:
            return token

         while True:
            UpperCamelCase__ :			Optional[int] 						=min(__SCREAMING_SNAKE_CASE   ,			key=lambda __SCREAMING_SNAKE_CASE: self.bpe_ranks.get(__SCREAMING_SNAKE_CASE   ,			float("inf")))
            if bigram not in self.bpe_ranks:
               break
            UpperCamelCase__ :			List[str] 						=bigram
            UpperCamelCase__ :			int 						=[]
            UpperCamelCase__ :			Optional[int] 						=0
            while i < len(__SCREAMING_SNAKE_CASE):
               try:
                  UpperCamelCase__ :			Optional[Any] 						=word.index(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE)
               except ValueError:
                  new_word.extend(word[i:])
                  break
               else:
                  new_word.extend(word[i:j])
                  UpperCamelCase__ :			Any 						=j

               if word[i] == first and i < len(__SCREAMING_SNAKE_CASE) - 1 and word[i + 1] == second:
                  new_word.append(first + second)
                  i += 2
               else:
                  new_word.append(word[i])
                  i += 1
            UpperCamelCase__ :			str 						=tuple(__SCREAMING_SNAKE_CASE)
            UpperCamelCase__ :			Tuple 						=new_word
            if len(__SCREAMING_SNAKE_CASE) == 1:
               break
            else:
               UpperCamelCase__ :			List[str] 						=get_pairs(__SCREAMING_SNAKE_CASE)
         UpperCamelCase__ :			List[Any] 						=""" """.join(__SCREAMING_SNAKE_CASE)
         UpperCamelCase__ :			Any 						=word
         return word




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						int:







         """simple docstring"""







         UpperCamelCase__ :			List[Any] 						=[]
         for token in re.findall(self.pat   ,			__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			Optional[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(__SCREAMING_SNAKE_CASE).split(" "))
         return bpe_tokens




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						Any:







         """simple docstring"""







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




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						List[str]:







         """simple docstring"""







         return self.decoder.get(__SCREAMING_SNAKE_CASE)




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						Tuple:







         """simple docstring"""







         UpperCamelCase__ :			Tuple 						="""""".join(__SCREAMING_SNAKE_CASE)
         UpperCamelCase__ :			Optional[int] 						=bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"   ,			errors=self.errors)
         return text




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE = None)					->						Tuple[str]:







         """simple docstring"""







         if not os.path.isdir(__SCREAMING_SNAKE_CASE):
            logger.error(F'''Vocabulary path ({save_directory}) should be a directory''')
            return
         UpperCamelCase__ :			Optional[int] 						=os.path.join(
             __SCREAMING_SNAKE_CASE   ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
         UpperCamelCase__ :			Union[str, Any] 						=os.path.join(
             __SCREAMING_SNAKE_CASE   ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

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

         UpperCamelCase__ :			str 						=0
         with open(__SCREAMING_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 __SCREAMING_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!")
                  UpperCamelCase__ :			Optional[Any] 						=token_index
               writer.write(" ".join(__SCREAMING_SNAKE_CASE) + "\n")
               index += 1

         return vocab_file, merge_file




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE = None)					->						List[int]:







         """simple docstring"""







         if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         UpperCamelCase__ :			Optional[Any] 						=[self.cls_token_id]
         UpperCamelCase__ :			Optional[int] 						=[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE = None   ,			__SCREAMING_SNAKE_CASE = False)					->						List[int]:







         """simple docstring"""







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

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




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE = None)					->						List[int]:







         """simple docstring"""







         UpperCamelCase__ :			List[str] 						=[self.sep_token_id]
         UpperCamelCase__ :			List[str] 						=[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    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE=False   ,			**__SCREAMING_SNAKE_CASE)					->						Dict:







         """simple docstring"""







         UpperCamelCase__ :			Dict 						=kwargs.pop("add_prefix_space"   ,			self.add_prefix_space)
         if (is_split_into_words or add_prefix_space) and (len(__SCREAMING_SNAKE_CASE) > 0 and not text[0].isspace()):
            UpperCamelCase__ :			int 						=""" """ + text
         return (text, kwargs)





'''simple docstring'''
import unittest
from timeit import timeit



def 				lowerCAmelCase__	(       UpperCAmelCase    ,       UpperCAmelCase     ):






       """simple docstring"""





       snake_case__					:	Any          =					first_num if first_num >= second_num else second_num
       snake_case__					:	Optional[Any]          =					max_num
       while (common_mult % first_num > 0) or (common_mult % second_num > 0):
              common_mult += max_num
       return common_mult



def 				lowerCAmelCase__	(       UpperCAmelCase    ,       UpperCAmelCase     ):






       """simple docstring"""





       return b if a == 0 else greatest_common_divisor(b % a    ,       UpperCAmelCase     )



def 				lowerCAmelCase__	(       UpperCAmelCase    ,       UpperCAmelCase     ):






       """simple docstring"""





       return first_num // greatest_common_divisor(UpperCAmelCase    ,       UpperCAmelCase     ) * second_num



def 				lowerCAmelCase__	(       ):






       """simple docstring"""





       snake_case__					:	Tuple          =					(
           """from __main__ import least_common_multiple_slow, least_common_multiple_fast"""
       )
       print(
           """least_common_multiple_slow():"""    ,       timeit("""least_common_multiple_slow(1000, 999)"""    ,       setup=UpperCAmelCase     )    ,       )
       print(
           """least_common_multiple_fast():"""    ,       timeit("""least_common_multiple_fast(1000, 999)"""    ,       setup=UpperCAmelCase     )    ,       )







class 					_A						(						unittest.TestCase							):



   '''simple docstring'''






   _lowercase    						= (
       (10, 20),
       (13, 15),
       (4, 31),
       (10, 42),
       (43, 34),
       (5, 12),
       (12, 25),
       (10, 25),
       (6, 9),
   )
   _lowercase    						= (20, 195, 124, 210, 1462, 60, 300, 50, 18)




   def   __lowerCAmelCase						(	self	:					Optional[int]						)->	Optional[Any]:
          for i, (first_num, second_num) in enumerate(self.test_inputs						):
                 snake_case__					:	List[Any]          =					least_common_multiple_slow(lowerCamelCase					, lowerCamelCase						)
                 snake_case__					:	Optional[Any]          =					least_common_multiple_fast(lowerCamelCase					, lowerCamelCase						)
                 with self.subTest(i=lowerCamelCase						):
                        self.assertEqual(lowerCamelCase					, self.expected_results[i]						)
                        self.assertEqual(lowerCamelCase					, self.expected_results[i]						)


if __name__ == "__main__":
     benchmark()
     unittest.main()




