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


_lowerCamelCase    :      List[str]	 =						logging.get_logger(__name__)

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

_lowerCamelCase    :      Dict	 =						{
    '''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'''
        ),
    },
}

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





def 		__lowerCamelCase							(UpperCAmelCase__   :							int     ):
					SCREAMING_SNAKE_CASE				=				set()
					SCREAMING_SNAKE_CASE				=				word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)     )
										SCREAMING_SNAKE_CASE				=				char
					return pairs


class   lowercase			(   a   ):
							lowercase__  :				int									=							VOCAB_FILES_NAMES
							lowercase__  :				Optional[Any]									=							PRETRAINED_VOCAB_FILES_MAP
							lowercase__  :				Optional[int]									=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__  :				str									=							["""input_ids""", """attention_mask"""]




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



												'''simple docstring'''

												SCREAMING_SNAKE_CASE				=				AddedToken(_UpperCamelCase		,							lstrip=_UpperCamelCase		,							rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase		,							_UpperCamelCase					) else bos_token
												SCREAMING_SNAKE_CASE				=				AddedToken(_UpperCamelCase		,							lstrip=_UpperCamelCase		,							rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase		,							_UpperCamelCase					) else eos_token
												SCREAMING_SNAKE_CASE				=				AddedToken(_UpperCamelCase		,							lstrip=_UpperCamelCase		,							rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase		,							_UpperCamelCase					) else sep_token
												SCREAMING_SNAKE_CASE				=				AddedToken(_UpperCamelCase		,							lstrip=_UpperCamelCase		,							rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase		,							_UpperCamelCase					) else cls_token
												SCREAMING_SNAKE_CASE				=				AddedToken(_UpperCamelCase		,							lstrip=_UpperCamelCase		,							rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase		,							_UpperCamelCase					) else unk_token
												SCREAMING_SNAKE_CASE				=				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
												SCREAMING_SNAKE_CASE				=				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:
																	SCREAMING_SNAKE_CASE				=				json.load(_UpperCamelCase					)
												SCREAMING_SNAKE_CASE				=				{v: k for k, v in self.encoder.items()}
												SCREAMING_SNAKE_CASE				=				errors  # how to handle errors in decoding
												SCREAMING_SNAKE_CASE				=				bytes_to_unicode()
												SCREAMING_SNAKE_CASE				=				{v: k for k, v in self.byte_encoder.items()}
												with open(_UpperCamelCase		,							encoding="utf-8"					) as merges_handle:
																	SCREAMING_SNAKE_CASE				=				merges_handle.read().split("\n"					)[1:-1]
												SCREAMING_SNAKE_CASE				=				[tuple(merge.split()					) for merge in bpe_merges]
												SCREAMING_SNAKE_CASE				=				dict(zip(_UpperCamelCase		,							range(len(_UpperCamelCase					)					)					)					)
												SCREAMING_SNAKE_CASE				=				{}
												SCREAMING_SNAKE_CASE				=				add_prefix_space

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




							@property
							def 		__snake_case(  self      :    int					)    -> Any:



												'''simple docstring'''

												return len(self.encoder					)




							def 		__snake_case(  self      :    Dict					)    -> List[Any]:



												'''simple docstring'''

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




							def 		__snake_case(  self      :    Union[str, Any]		,							_UpperCamelCase      :    Tuple					)    -> str:



												'''simple docstring'''

												if token in self.cache:
																	return self.cache[token]
												SCREAMING_SNAKE_CASE				=				tuple(_UpperCamelCase					)
												SCREAMING_SNAKE_CASE				=				get_pairs(_UpperCamelCase					)

												if not pairs:
																	return token

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




							def 		__snake_case(  self      :    Optional[Any]		,							_UpperCamelCase      :    Tuple					)    -> Optional[Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE				=				[]
												for token in re.findall(self.pat		,							_UpperCamelCase					):
																	SCREAMING_SNAKE_CASE				=				"".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 		__snake_case(  self      :    List[str]		,							_UpperCamelCase      :    Dict					)    -> Optional[int]:



												'''simple docstring'''

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




							def 		__snake_case(  self      :    str		,							_UpperCamelCase      :    str					)    -> int:



												'''simple docstring'''

												return self.decoder.get(_UpperCamelCase					)




							def 		__snake_case(  self      :    Dict		,							_UpperCamelCase      :    Dict					)    -> Optional[int]:



												'''simple docstring'''

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




							def 		__snake_case(  self      :    str		,							_UpperCamelCase      :    str		,							_UpperCamelCase      :    Optional[str] = None					)    -> Tuple[str]:



												'''simple docstring'''

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

												SCREAMING_SNAKE_CASE				=				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!"					)
																											SCREAMING_SNAKE_CASE				=				token_index
																						writer.write(" ".join(_UpperCamelCase					) + "\n"					)
																						index += 1

												return vocab_file, merge_file




							def 		__snake_case(  self      :    str		,							_UpperCamelCase      :    List[int]		,							_UpperCamelCase      :    Optional[List[int]] = None					)    -> List[int]:



												'''simple docstring'''

												if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												SCREAMING_SNAKE_CASE				=				[self.cls_token_id]
												SCREAMING_SNAKE_CASE				=				[self.sep_token_id]
												return cls + token_ids_a + sep + sep + token_ids_a + sep




							def 		__snake_case(  self      :    Optional[int]		,							_UpperCamelCase      :    List[int]		,							_UpperCamelCase      :    Optional[List[int]] = None		,							_UpperCamelCase      :    bool = False					)    -> List[int]:



												'''simple docstring'''

												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 		__snake_case(  self      :    Any		,							_UpperCamelCase      :    List[int]		,							_UpperCamelCase      :    Optional[List[int]] = None					)    -> List[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE				=				[self.sep_token_id]
												SCREAMING_SNAKE_CASE				=				[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 		__snake_case(  self      :    Union[str, Any]		,							_UpperCamelCase      :    Optional[Any]		,							_UpperCamelCase      :    List[Any]=False		,							**_UpperCamelCase      :    Any					)    -> Any:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE				=				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()):
																	SCREAMING_SNAKE_CASE				=				" " + text
												return (text, kwargs)





from __future__ import annotations

from enum import Enum


class   lowercase			(   a   ):
							lowercase__  :				List[str]									=							24
							lowercase__  :				int									=							21
							lowercase__  :				Union[str, Any]									=							18
							lowercase__  :				Dict									=							15
							lowercase__  :				Any									=							12
							lowercase__  :				List[Any]									=							9
							lowercase__  :				Optional[int]									=							6
							lowercase__  :				List[Any]									=							3
							lowercase__  :				int									=							2
							lowercase__  :				Optional[int]									=							1
							lowercase__  :				Dict									=							-1
							lowercase__  :				Any									=							-2
							lowercase__  :				Tuple									=							-3
							lowercase__  :				Optional[Any]									=							-6
							lowercase__  :				Tuple									=							-9
							lowercase__  :				List[Any]									=							-12
							lowercase__  :				Any									=							-15
							lowercase__  :				List[Any]									=							-18
							lowercase__  :				int									=							-21
							lowercase__  :				Optional[Any]									=							-24



class   lowercase			(   a   ):
							lowercase__  :				Union[str, Any]									=							8
							lowercase__  :				List[Any]									=							7
							lowercase__  :				List[str]									=							6
							lowercase__  :				Dict									=							5
							lowercase__  :				List[Any]									=							4
							lowercase__  :				Union[str, Any]									=							3
							lowercase__  :				Union[str, Any]									=							2
							lowercase__  :				Optional[Any]									=							1





def 		__lowerCamelCase							(UpperCAmelCase__   :							float					,       UpperCAmelCase__   :							str | SIUnit					,       UpperCAmelCase__   :							str | SIUnit					,       ):
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				SIUnit[known_prefix.lower()]
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				SIUnit[unknown_prefix.lower()]
					SCREAMING_SNAKE_CASE				=				known_amount * (
					    1_0 ** (known_prefix.value - unknown_prefix.value)
					)
					return unknown_amount





def 		__lowerCamelCase							(UpperCAmelCase__   :							float					,       UpperCAmelCase__   :							str | BinaryUnit					,       UpperCAmelCase__   :							str | BinaryUnit					,       ):
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				BinaryUnit[known_prefix.lower()]
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				BinaryUnit[unknown_prefix.lower()]
					SCREAMING_SNAKE_CASE				=				known_amount * (
					    2 ** ((known_prefix.value - unknown_prefix.value) * 1_0)
					)
					return unknown_amount


if __name__ == "__main__":
							import doctest

							doctest.testmod()




