
"""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


SCREAMING_SNAKE_CASE_					     =	logging.get_logger(__name__)


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

SCREAMING_SNAKE_CASE_					     =	{
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
}

SCREAMING_SNAKE_CASE_					     =	{
    '''allenai/longformer-base-4096''': 4_096,
    '''allenai/longformer-large-4096''': 4_096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4_096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4_096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4_096,
}

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

def  lowercase     (_lowerCAmelCase						):
						__lowerCAmelCase     =  set()
						__lowerCAmelCase     =  word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)						)
												__lowerCAmelCase     =  char
						return pairs



class       lowerCAmelCase_		(				A__ ):



							'''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    ,				snake_case_    ,				snake_case_    ,				snake_case_="replace"    ,				snake_case_="<s>"    ,				snake_case_="</s>"    ,				snake_case_="</s>"    ,				snake_case_="<s>"    ,				snake_case_="<unk>"    ,				snake_case_="<pad>"    ,				snake_case_="<mask>"    ,				snake_case_=False    ,				**snake_case_    ,				)       ->  Optional[int]:
													__lowerCAmelCase     =  AddedToken(snake_case_    ,				lstrip=snake_case_    ,				rstrip=snake_case_				) if isinstance(snake_case_    ,				snake_case_				) else bos_token
													__lowerCAmelCase     =  AddedToken(snake_case_    ,				lstrip=snake_case_    ,				rstrip=snake_case_				) if isinstance(snake_case_    ,				snake_case_				) else eos_token
													__lowerCAmelCase     =  AddedToken(snake_case_    ,				lstrip=snake_case_    ,				rstrip=snake_case_				) if isinstance(snake_case_    ,				snake_case_				) else sep_token
													__lowerCAmelCase     =  AddedToken(snake_case_    ,				lstrip=snake_case_    ,				rstrip=snake_case_				) if isinstance(snake_case_    ,				snake_case_				) else cls_token
													__lowerCAmelCase     =  AddedToken(snake_case_    ,				lstrip=snake_case_    ,				rstrip=snake_case_				) if isinstance(snake_case_    ,				snake_case_				) else unk_token
													__lowerCAmelCase     =  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
													__lowerCAmelCase     =  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:
																			__lowerCAmelCase     =  json.load(snake_case_				)
													__lowerCAmelCase     =  {v: k for k, v in self.encoder.items()}
													__lowerCAmelCase     =  errors  # how to handle errors in decoding
													__lowerCAmelCase     =  bytes_to_unicode()
													__lowerCAmelCase     =  {v: k for k, v in self.byte_encoder.items()}
													with open(snake_case_    ,				encoding="""utf-8"""				) as merges_handle:
																			__lowerCAmelCase     =  merges_handle.read().split("""\n"""				)[1:-1]
													__lowerCAmelCase     =  [tuple(merge.split()				) for merge in bpe_merges]
													__lowerCAmelCase     =  dict(zip(snake_case_    ,				range(len(snake_case_				)				)				)				)
													__lowerCAmelCase     =  {}
													__lowerCAmelCase     =  add_prefix_space

													# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
													__lowerCAmelCase     =  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				)       ->  List[Any]:
													return len(self.encoder				)




							def    A__						( self				)       ->  Optional[int]:
													return dict(self.encoder    ,				**self.added_tokens_encoder				)




							def    A__						( self    ,				snake_case_				)       ->  Optional[int]:
													if token in self.cache:
																			return self.cache[token]
													__lowerCAmelCase     =  tuple(snake_case_				)
													__lowerCAmelCase     =  get_pairs(snake_case_				)

													if not pairs:
																			return token

													while True:
																			__lowerCAmelCase     =  min(snake_case_    ,				key=lambda snake_case_				: self.bpe_ranks.get(snake_case_    ,				float("""inf"""				)				)				)
																			if bigram not in self.bpe_ranks:
																									break
																			__lowerCAmelCase   ,     __lowerCAmelCase     =  bigram
																			__lowerCAmelCase     =  []
																			__lowerCAmelCase     =  0
																			while i < len(snake_case_				):
																									try:
																															__lowerCAmelCase     =  word.index(snake_case_    ,				snake_case_				)
																									except ValueError:
																															new_word.extend(word[i:]				)
																															break
																									else:
																															new_word.extend(word[i:j]				)
																															__lowerCAmelCase     =  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
																			__lowerCAmelCase     =  tuple(snake_case_				)
																			__lowerCAmelCase     =  new_word
																			if len(snake_case_				) == 1:
																									break
																			else:
																									__lowerCAmelCase     =  get_pairs(snake_case_				)
													__lowerCAmelCase     =  """ """.join(snake_case_				)
													__lowerCAmelCase     =  word
													return word




							def    A__						( self    ,				snake_case_				)       ->  Union[str, Any]:
													__lowerCAmelCase     =  []
													for token in re.findall(self.pat    ,				snake_case_				):
																			__lowerCAmelCase     =  """""".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    ,				snake_case_				)       ->  Tuple:
													return self.encoder.get(snake_case_    ,				self.encoder.get(self.unk_token				)				)




							def    A__						( self    ,				snake_case_				)       ->  Dict:
													return self.decoder.get(snake_case_				)




							def    A__						( self    ,				snake_case_				)       ->  int:
													__lowerCAmelCase     =  """""".join(snake_case_				)
													__lowerCAmelCase     =  bytearray([self.byte_decoder[c] for c in text]				).decode("""utf-8"""    ,				errors=self.errors				)
													return text




							def    A__						( self    ,				snake_case_    ,				snake_case_ = None				)       ->  Tuple[str]:
													if not os.path.isdir(snake_case_				):
																			logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
																			return
													__lowerCAmelCase     =  os.path.join(
													    snake_case_    ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
													__lowerCAmelCase     =  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"""				)

													__lowerCAmelCase     =  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!"""				)
																															__lowerCAmelCase     =  token_index
																									writer.write(""" """.join(snake_case_				) + """\n"""				)
																									index += 1

													return vocab_file, merge_file




							def    A__						( self    ,				snake_case_    ,				snake_case_ = None				)       ->  List[int]:
													if token_ids_a is None:
																			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
													__lowerCAmelCase     =  [self.cls_token_id]
													__lowerCAmelCase     =  [self.sep_token_id]
													return cls + token_ids_a + sep + sep + token_ids_a + sep




							def    A__						( self    ,				snake_case_    ,				snake_case_ = None    ,				snake_case_ = False				)       ->  List[int]:
													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    ,				snake_case_    ,				snake_case_ = None				)       ->  List[int]:
													__lowerCAmelCase     =  [self.sep_token_id]
													__lowerCAmelCase     =  [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    ,				snake_case_    ,				snake_case_=False    ,				**snake_case_				)       ->  Optional[Any]:
													__lowerCAmelCase     =  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()):
																			__lowerCAmelCase     =  """ """ + text
													return (text, kwargs)


"""simple docstring"""
from __future__ import annotations

def  lowercase     (_lowerCAmelCase						):
						__lowerCAmelCase     =  2
						__lowerCAmelCase     =  []
						while i * i <= n:
												if n % i:
																		i += 1
												else:
																		n //= i
																		factors.append(_lowerCAmelCase						)
						if n > 1:
												factors.append(_lowerCAmelCase						)
						return factors


if __name__ == "__main__":
			import doctest

			doctest.testmod()
