



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


__A				    =						logging.get_logger(__name__)

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

__A				    =						{
    '''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'''
        ),
    },
}

__A				    =						{
    '''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        __a     (    )      -> Any:






						'''simple docstring'''



						UpperCAmelCase_=   (
						    list(range(ord("""!"""				)			,ord("""~"""				) + 1				)				) + list(range(ord("""¡"""				)			,ord("""¬"""				) + 1				)				) + list(range(ord("""®"""				)			,ord("""ÿ"""				) + 1				)				)
						)
						UpperCAmelCase_=   bs[:]
						UpperCAmelCase_=   0
						for b in range(2**8				):
												if b not in bs:
																		bs.append(lowerCAmelCase_				)
																		cs.append(2**8 + n				)
																		n += 1
						UpperCAmelCase_=   [chr(lowerCAmelCase_				) for n in cs]
						return dict(zip(lowerCAmelCase_			,lowerCAmelCase_				)				)



def        __a     (    lowerCAmelCase_   :					Any				)      -> List[str]:






						'''simple docstring'''



						UpperCAmelCase_=   set()
						UpperCAmelCase_=   word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)				)
												UpperCAmelCase_=   char
						return pairs






class 		lowercase						( snake_case__):






	"""simple docstring"""


	a__      :					Optional[int]		   =							VOCAB_FILES_NAMES
	a__      :					Optional[int]		   =							PRETRAINED_VOCAB_FILES_MAP
	a__      :					Optional[Any]		   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a__      :					Tuple		   =							["input_ids", "attention_mask"]




	def __init__(	self	:						str						,  __UpperCAmelCase	:						List[str]						,  __UpperCAmelCase	:						Any						,  __UpperCAmelCase	:						Tuple="replace"						,  __UpperCAmelCase	:						List[str]="<s>"						,  __UpperCAmelCase	:						List[str]="</s>"						,  __UpperCAmelCase	:						Optional[int]="</s>"						,  __UpperCAmelCase	:						Any="<s>"						,  __UpperCAmelCase	:						Tuple="<unk>"						,  __UpperCAmelCase	:						List[str]="<pad>"						,  __UpperCAmelCase	:						List[str]="<mask>"						,  __UpperCAmelCase	:						List[Any]=False						,  **__UpperCAmelCase	:						int						,  )			-> int:
							UpperCAmelCase_=   AddedToken(__UpperCAmelCase						,  lstrip=__UpperCAmelCase						,  rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase						,  __UpperCAmelCase     ) else bos_token
							UpperCAmelCase_=   AddedToken(__UpperCAmelCase						,  lstrip=__UpperCAmelCase						,  rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase						,  __UpperCAmelCase     ) else eos_token
							UpperCAmelCase_=   AddedToken(__UpperCAmelCase						,  lstrip=__UpperCAmelCase						,  rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase						,  __UpperCAmelCase     ) else sep_token
							UpperCAmelCase_=   AddedToken(__UpperCAmelCase						,  lstrip=__UpperCAmelCase						,  rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase						,  __UpperCAmelCase     ) else cls_token
							UpperCAmelCase_=   AddedToken(__UpperCAmelCase						,  lstrip=__UpperCAmelCase						,  rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase						,  __UpperCAmelCase     ) else unk_token
							UpperCAmelCase_=   AddedToken(__UpperCAmelCase						,  lstrip=__UpperCAmelCase						,  rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase						,  __UpperCAmelCase     ) else pad_token

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

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

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

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




	@property
	def   _SCREAMING_SNAKE_CASE		(	self	:						str     )			-> Union[str, Any]:
							return len(self.encoder     )




	def   _SCREAMING_SNAKE_CASE		(	self	:						Union[str, Any]     )			-> Optional[Any]:
							return dict(self.encoder						,  **self.added_tokens_encoder     )




	def   _SCREAMING_SNAKE_CASE		(	self	:						List[str]						,  __UpperCAmelCase	:						Union[str, Any]     )			-> Optional[int]:
							if token in self.cache:
													return self.cache[token]
							UpperCAmelCase_=   tuple(__UpperCAmelCase     )
							UpperCAmelCase_=   get_pairs(__UpperCAmelCase     )

							if not pairs:
													return token

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

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




	def   _SCREAMING_SNAKE_CASE		(	self	:						List[str]						,  __UpperCAmelCase	:						List[str]     )			-> int:
							UpperCAmelCase_=   []
							for token in re.findall(self.pat						,  __UpperCAmelCase     ):
													UpperCAmelCase_=   """""".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(__UpperCAmelCase     ).split(""" """     )     )
							return bpe_tokens




	def   _SCREAMING_SNAKE_CASE		(	self	:						Any						,  __UpperCAmelCase	:						Optional[Any]     )			-> Optional[int]:
							return self.encoder.get(__UpperCAmelCase						,  self.encoder.get(self.unk_token     )     )




	def   _SCREAMING_SNAKE_CASE		(	self	:						List[Any]						,  __UpperCAmelCase	:						str     )			-> Any:
							return self.decoder.get(__UpperCAmelCase     )




	def   _SCREAMING_SNAKE_CASE		(	self	:						int						,  __UpperCAmelCase	:						Union[str, Any]     )			-> int:
							UpperCAmelCase_=   """""".join(__UpperCAmelCase     )
							UpperCAmelCase_=   bytearray([self.byte_decoder[c] for c in text]     ).decode("""utf-8"""						,  errors=self.errors     )
							return text




	def   _SCREAMING_SNAKE_CASE		(	self	:						List[str]						,  __UpperCAmelCase	:						str						,  __UpperCAmelCase	:						Optional[str] = None     )			-> Tuple[str]:
							if not os.path.isdir(__UpperCAmelCase     ):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""     )
													return
							UpperCAmelCase_=   os.path.join(
							    __UpperCAmelCase						,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )
							UpperCAmelCase_=   os.path.join(
							    __UpperCAmelCase						,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]     )

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

							UpperCAmelCase_=   0
							with open(__UpperCAmelCase						,  """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!"""     )
																									UpperCAmelCase_=   token_index
																			writer.write(""" """.join(__UpperCAmelCase     ) + """\n"""     )
																			index += 1

							return vocab_file, merge_file




	def   _SCREAMING_SNAKE_CASE		(	self	:						List[str]						,  __UpperCAmelCase	:						List[int]						,  __UpperCAmelCase	:						Optional[List[int]] = None     )			-> List[int]:
							if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							UpperCAmelCase_=   [self.cls_token_id]
							UpperCAmelCase_=   [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep




	def   _SCREAMING_SNAKE_CASE		(	self	:						int						,  __UpperCAmelCase	:						List[int]						,  __UpperCAmelCase	:						Optional[List[int]] = None						,  __UpperCAmelCase	:						bool = False     )			-> List[int]:
							if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=__UpperCAmelCase						,  token_ids_a=__UpperCAmelCase						,  already_has_special_tokens=__UpperCAmelCase     )

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




	def   _SCREAMING_SNAKE_CASE		(	self	:						List[Any]						,  __UpperCAmelCase	:						List[int]						,  __UpperCAmelCase	:						Optional[List[int]] = None     )			-> List[int]:
							UpperCAmelCase_=   [self.sep_token_id]
							UpperCAmelCase_=   [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   _SCREAMING_SNAKE_CASE		(	self	:						List[Any]						,  __UpperCAmelCase	:						Optional[Any]						,  __UpperCAmelCase	:						Union[str, Any]=False						,  **__UpperCAmelCase	:						str     )			-> Optional[int]:
							UpperCAmelCase_=   kwargs.pop("""add_prefix_space"""						,  self.add_prefix_space     )
							if (is_split_into_words or add_prefix_space) and (len(__UpperCAmelCase     ) > 0 and not text[0].isspace()):
													UpperCAmelCase_=   """ """ + text
							return (text, kwargs)









def        __a     (    lowerCAmelCase_   :					list				)      -> bool:






						'''simple docstring'''



						if not isinstance(lowerCAmelCase_			,lowerCAmelCase_				):
												raise ValueError("""Input series is not valid, valid series - [1, 2/3, 2]"""				)
						if len(lowerCAmelCase_				) == 0:
												raise ValueError("""Input list must be a non empty list"""				)
						if len(lowerCAmelCase_				) == 1 and series[0] != 0:
												return True
						UpperCAmelCase_=   []
						UpperCAmelCase_=   len(lowerCAmelCase_				)
						for i in range(0			,lowerCAmelCase_				):
												if series[i] == 0:
																		raise ValueError("""Input series cannot have 0 as an element"""				)
												rec_series.append(1 / series[i]				)
						UpperCAmelCase_=   rec_series[1] - rec_series[0]
						for index in range(2			,lowerCAmelCase_				):
												if rec_series[index] - rec_series[index - 1] != common_diff:
																		return False
						return True



def        __a     (    lowerCAmelCase_   :					list				)      -> float:






						'''simple docstring'''



						if not isinstance(lowerCAmelCase_			,lowerCAmelCase_				):
												raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""				)
						if len(lowerCAmelCase_				) == 0:
												raise ValueError("""Input list must be a non empty list"""				)
						UpperCAmelCase_=   0
						for val in series:
												answer += 1 / val
						return len(lowerCAmelCase_				) / answer


if __name__ == "__main__":
	import doctest

	doctest.testmod()




