



'''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


UpperCamelCase__	:     Optional[int]    =			logging.get_logger(__name__)

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

UpperCamelCase__	:     Optional[int]    =			{
    '''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__	:     Union[str, Any]    =			{
    '''roberta-base''': 5_12,
    '''roberta-large''': 5_12,
    '''roberta-large-mnli''': 5_12,
    '''distilroberta-base''': 5_12,
    '''roberta-base-openai-detector''': 5_12,
    '''roberta-large-openai-detector''': 5_12,
}


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


def     lowerCAmelCase_       (     _lowerCamelCase:       Dict ):
		__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		set()
		__SCREAMING_SNAKE_CASE	:		str   	=		word[0]
		for char in word[1:]:
				pairs.add((prev_char, char) )
				__SCREAMING_SNAKE_CASE	:		int   	=		char
		return pairs






class 						_UpperCamelCase  (							lowerCamelCase__   ):


			'''simple docstring'''

			_A				:		Dict         =		VOCAB_FILES_NAMES
			_A				:		str         =		PRETRAINED_VOCAB_FILES_MAP
			_A				:		Union[str, Any]         =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_A				:		int         =		['''input_ids''', '''attention_mask''']

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





					"""simple docstring"""






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

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

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

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

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					__SCREAMING_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 UpperCamelCase__ (							self					:			Tuple						):





					"""simple docstring"""






					return len(self.encoder						)

			def UpperCamelCase__ (							self					:			int						):





					"""simple docstring"""






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

			def UpperCamelCase__ (							self					:			int							,					lowerCAmelCase__					:			List[str]						):





					"""simple docstring"""






					if token in self.cache:
							return self.cache[token]
					__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		tuple(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE	:		int   	=		get_pairs(lowerCAmelCase__						)

					if not pairs:
							return token

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

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

			def UpperCamelCase__ (							self					:			int							,					lowerCAmelCase__					:			Optional[Any]						):





					"""simple docstring"""






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

			def UpperCamelCase__ (							self					:			int							,					lowerCAmelCase__					:			str						):





					"""simple docstring"""






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

			def UpperCamelCase__ (							self					:			List[str]							,					lowerCAmelCase__					:			Tuple						):





					"""simple docstring"""






					return self.decoder.get(lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			Tuple							,					lowerCAmelCase__					:			Union[str, Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		str   	=		"""""".join(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE	:		Dict   	=		bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""							,					errors=self.errors						)
					return text

			def UpperCamelCase__ (							self					:			Dict							,					lowerCAmelCase__					:			str							,					lowerCAmelCase__					:			Optional[str] = None						):





					"""simple docstring"""






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

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

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

					return vocab_file, merge_file

			def UpperCamelCase__ (							self					:			List[Any]							,					lowerCAmelCase__					:			List[int]							,					lowerCAmelCase__					:			Optional[List[int]] = None						):





					"""simple docstring"""






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

			def UpperCamelCase__ (							self					:			Dict							,					lowerCAmelCase__					:			List[int]							,					lowerCAmelCase__					:			Optional[List[int]] = None							,					lowerCAmelCase__					:			bool = False						):





					"""simple docstring"""






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

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

			def UpperCamelCase__ (							self					:			Optional[int]							,					lowerCAmelCase__					:			List[int]							,					lowerCAmelCase__					:			Optional[List[int]] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		int   	=		[self.sep_token_id]
					__SCREAMING_SNAKE_CASE	:		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					:			Dict							,					lowerCAmelCase__					:			List[str]							,					lowerCAmelCase__					:			Optional[Any]=False							,					**lowerCAmelCase__					:			Any						):





					"""simple docstring"""






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




'''simple docstring'''




from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

UpperCamelCase__	:     str    =			TypeVar('''T''', bound=bool)






class 						_UpperCamelCase  (							Generic[T]   ):


			'''simple docstring'''

			def __init__(							self					:			str							,					lowerCAmelCase__					:			T						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		T   	=		value
					__SCREAMING_SNAKE_CASE	:		RandomizedHeapNode[T] | None   	=		None
					__SCREAMING_SNAKE_CASE	:		RandomizedHeapNode[T] | None   	=		None

			@property
			def UpperCamelCase__ (							self					:			Any						):





					"""simple docstring"""






					return self._value



			@staticmethod
			def UpperCamelCase__ (							lowerCAmelCase__					:			RandomizedHeapNode[T] | None							,					lowerCAmelCase__					:			RandomizedHeapNode[T] | None						):





					"""simple docstring"""






					if not roota:
							return roota

					if not roota:
							return roota

					if roota.value > roota.value:
							__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		List[str]   	=		roota, roota

					if random.choice([True, False]						):
							__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Tuple   	=		roota.right, roota.left

					__SCREAMING_SNAKE_CASE	:		Tuple   	=		RandomizedHeapNode.merge(roota.left							,					lowerCAmelCase__						)

					return roota






class 						_UpperCamelCase  (							Generic[T]   ):


			'''simple docstring'''

			def __init__(							self					:			Optional[int]							,					lowerCAmelCase__					:			Iterable[T] | None = ()						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		RandomizedHeapNode[T] | None   	=		None

					if data:
							for item in data:
									self.insert(lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			Dict							,					lowerCAmelCase__					:			T						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Dict   	=		RandomizedHeapNode.merge(self._root							,					RandomizedHeapNode(lowerCAmelCase__						)						)

			def UpperCamelCase__ (							self					:			Union[str, Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Tuple   	=		self.top()

					if self._root is None:
							return None

					__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		RandomizedHeapNode.merge(self._root.left							,					self._root.right						)

					return result

			def UpperCamelCase__ (							self					:			Union[str, Any]						):





					"""simple docstring"""






					if not self._root:
							raise IndexError("""Can't get top element for the empty heap."""						)
					return self._root.value

			def UpperCamelCase__ (							self					:			List[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		List[str]   	=		None

			def UpperCamelCase__ (							self					:			Optional[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		int   	=		[]
					while self:
							result.append(self.pop()						)

					return result



			def __bool__(							self					:			List[Any]						):





					"""simple docstring"""






					return self._root is not None


if __name__ == "__main__":
						import doctest

						doctest.testmod()