




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       _a (		):
					__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(__lowercase	)
															cs.append(2**8 + n	)
															n += 1
					__lowerCAmelCase							  =			[chr(__lowercase	) for n in cs]
					return dict(zip(__lowercase , __lowercase	)	)







def       _a (		SCREAMING_SNAKE_CASE_				:							List[Any]	):
					__lowerCAmelCase							  =			set()
					__lowerCAmelCase							  =			word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)	)
										__lowerCAmelCase							  =			char
					return pairs


class      a__       (   snake_case__ ):
						_a				:       List[Any]   =       VOCAB_FILES_NAMES
						_a				:       Optional[Any]   =       PRETRAINED_VOCAB_FILES_MAP
						_a				:       Dict   =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_a				:       List[Any]   =       ['input_ids', 'attention_mask']






						def __init__(  self						,     _A						,     _A						,     _A="replace"						,     _A="<s>"						,     _A="</s>"						,     _A="</s>"						,     _A="<s>"						,     _A="<unk>"						,     _A="<pad>"						,     _A="<mask>"						,     _A=False						,     **_A						,     ):




											"""simple docstring"""



											__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 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											return len(self.encoder     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



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






						def 							__SCREAMING_SNAKE_CASE(  self						,     _A     ):




											"""simple docstring"""



											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 _A     : self.bpe_ranks.get(__snake_case						,     float("inf"     )     )     )
																if bigram not in self.bpe_ranks:
																					break
																__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 							__SCREAMING_SNAKE_CASE(  self						,     _A     ):




											"""simple docstring"""



											__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 							__SCREAMING_SNAKE_CASE(  self						,     _A     ):




											"""simple docstring"""



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






						def 							__SCREAMING_SNAKE_CASE(  self						,     _A     ):




											"""simple docstring"""



											return self.decoder.get(__snake_case     )






						def 							__SCREAMING_SNAKE_CASE(  self						,     _A     ):




											"""simple docstring"""



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






						def 							__SCREAMING_SNAKE_CASE(  self						,     _A						,     _A = None     ):




											"""simple docstring"""



											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 _A     : 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 							__SCREAMING_SNAKE_CASE(  self						,     _A						,     _A = None     ):




											"""simple docstring"""



											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 							__SCREAMING_SNAKE_CASE(  self						,     _A						,     _A = None						,     _A = 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 							__SCREAMING_SNAKE_CASE(  self						,     _A						,     _A = None     ):




											"""simple docstring"""



											__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 							__SCREAMING_SNAKE_CASE(  self						,     _A						,     _A=False						,     **_A     ):




											"""simple docstring"""



											__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)








from __future__ import annotations

from abc import abstractmethod
from collections.abc import Iterable
from typing import Generic, Protocol, TypeVar





class 			lowerCAmelCase__(     snake_case__    ):






    '''simple docstring'''





    @abstractmethod
    def __lt__(						self					: T							, __snake_case					: T						):





       '''simple docstring'''
       pass





    @abstractmethod
    def __gt__(						self					: T							, __snake_case					: T						):





       '''simple docstring'''
       pass





    @abstractmethod
    def __eq__(						self					: T							, __snake_case					: object						):





       '''simple docstring'''
       pass





__UpperCamelCase					:	Dict          =				TypeVar('T', bound=Comparable)





class 			lowerCAmelCase__(     Generic[T]    ):






    '''simple docstring'''





    def __init__(						self					: Tuple						):





       '''simple docstring'''
       UpperCAmelCase_				:   list[T]							= []
       UpperCAmelCase_				:   int							= 0





    def __repr__(						self					: Any						):





       '''simple docstring'''
       return str(self.h						)





    def        _lowerCamelCase			(						self					: str							, __snake_case					: int						):





       '''simple docstring'''
       if child_idx > 0:
          return (child_idx - 1) // 2
       return None





    def        _lowerCamelCase			(						self					: str							, __snake_case					: int						):





       '''simple docstring'''
       UpperCAmelCase_				:   Dict							= 2 * parent_idx + 1
       if left_child_index < self.heap_size:
          return left_child_index
       return None





    def        _lowerCamelCase			(						self					: int							, __snake_case					: int						):





       '''simple docstring'''
       UpperCAmelCase_				:   Union[str, Any]							= 2 * parent_idx + 2
       if right_child_index < self.heap_size:
          return right_child_index
       return None





    def        _lowerCamelCase			(						self					: Union[str, Any]							, __snake_case					: int						):





       '''simple docstring'''
       if index < self.heap_size:
          UpperCAmelCase_				:   int							= index
          UpperCAmelCase_				:   List[str]							= self.left_child_idx(__snake_case						)
          UpperCAmelCase_				:   List[str]							= self.right_child_idx(__snake_case						)
          # check which child is larger than its parent
          if left_child is not None and self.h[left_child] > self.h[violation]:
             UpperCAmelCase_				:   List[str]							= left_child
          if right_child is not None and self.h[right_child] > self.h[violation]:
             UpperCAmelCase_				:   List[str]							= right_child
          # if violation indeed exists
          if violation != index:
             # swap to fix the violation
             UpperCAmelCase_		,   UpperCAmelCase_				:   List[Any]							= self.h[index], self.h[violation]
             # fix the subsequent violation recursively if any
             self.max_heapify(__snake_case						)





    def        _lowerCamelCase			(						self					: Optional[Any]							, __snake_case					: Iterable[T]						):





       '''simple docstring'''
       UpperCAmelCase_				:   Union[str, Any]							= list(__snake_case						)
       UpperCAmelCase_				:   int							= len(self.h						)
       if self.heap_size > 1:
          # max_heapify from right to left but exclude leaves (last level)
          for i in range(self.heap_size // 2 - 1							, -1							, -1						):
             self.max_heapify(__snake_case						)





    def        _lowerCamelCase			(						self					: Tuple						):





       '''simple docstring'''
       if self.heap_size >= 2:
          UpperCAmelCase_				:   List[str]							= self.h[0]
          UpperCAmelCase_				:   Dict							= self.h.pop(-1						)
          self.heap_size -= 1
          self.max_heapify(0						)
          return me
       elif self.heap_size == 1:
          self.heap_size -= 1
          return self.h.pop(-1						)
       else:
          raise Exception('''Empty heap'''						)





    def        _lowerCamelCase			(						self					: List[str]							, __snake_case					: T						):





       '''simple docstring'''
       self.h.append(__snake_case						)
       UpperCAmelCase_				:   Tuple							= (self.heap_size - 1) // 2
       self.heap_size += 1
       while idx >= 0:
          self.max_heapify(__snake_case						)
          UpperCAmelCase_				:   int							= (idx - 1) // 2





    def        _lowerCamelCase			(						self					: List[str]						):





       '''simple docstring'''
       UpperCAmelCase_				:   Tuple							= self.heap_size
       for j in range(size - 1							, 0							, -1						):
          UpperCAmelCase_		,   UpperCAmelCase_				:   Any							= self.h[j], self.h[0]
          self.heap_size -= 1
          self.max_heapify(0						)
       UpperCAmelCase_				:   Union[str, Any]							= size


if __name__ == "__main__":
       import doctest

       # run doc test
       doctest.testmod()

       # demo
       for unsorted in [
           [0],
           [2],
           [3, 5],
           [5, 3],
           [5, 5],
           [0, 0, 0, 0],
           [1, 1, 1, 1],
           [2, 2, 3, 5],
           [0, 2, 2, 3, 5],
           [2, 5, 3, 0, 2, 3, 0, 3],
           [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
           [103, 9, 1, 7, 11, 15, 25, 201, 209, 107, 5],
           [-45, -2, -5],
       ]:
              print(F'unsorted array: {unsorted}')

              __UpperCamelCase					:	Heap[int]          =				Heap()
              heap.build_max_heap(unsorted)
              print(F'after build heap: {heap}')

              print(F'max value: {heap.extract_max()}')
              print(F'after max value removed: {heap}')

              heap.insert(100)
              print(F'after new value 100 inserted: {heap}')

              heap.heap_sort()
              print(F'heap-sorted array: {heap}\n')