
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     :	Any    = logging.get_logger(__name__)


A     :	List[Any]    = {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

A     :	Tuple    = {
    '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'
        ),
    },
}

A     :	str    = {
    'allenai/longformer-base-4096': 4_0_9_6,
    'allenai/longformer-large-4096': 4_0_9_6,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_0_9_6,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_0_9_6,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_0_9_6,
}


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


def     __lowerCAmelCase			(			a__  )       ->  Optional[Any]:
				__a										=    set()
				__a										=    word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)  )
								__a										=    char
				return pairs







class 			__A( snake_case__			):
				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		,     )    ->      List[Any]:


								'''simple docstring'''




								__a										=    AddedToken(_A		,     lstrip=_A		,     rstrip=_A				) if isinstance(_A		,     _A				) else bos_token
								__a										=    AddedToken(_A		,     lstrip=_A		,     rstrip=_A				) if isinstance(_A		,     _A				) else eos_token
								__a										=    AddedToken(_A		,     lstrip=_A		,     rstrip=_A				) if isinstance(_A		,     _A				) else sep_token
								__a										=    AddedToken(_A		,     lstrip=_A		,     rstrip=_A				) if isinstance(_A		,     _A				) else cls_token
								__a										=    AddedToken(_A		,     lstrip=_A		,     rstrip=_A				) if isinstance(_A		,     _A				) else unk_token
								__a										=    AddedToken(_A		,     lstrip=_A		,     rstrip=_A				) if isinstance(_A		,     _A				) else pad_token

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

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

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

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								__a										=    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				)    ->      Optional[int]:


								'''simple docstring'''




								return len(self.encoder				)




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      List[str]:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      Union[str, Any]:


								'''simple docstring'''




								if token in self.cache:
												return self.cache[token]
								__a										=    tuple(_A				)
								__a										=    get_pairs(_A				)

								if not pairs:
												return token

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

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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      Union[str, Any]:


								'''simple docstring'''




								__a										=    []
								for token in re.findall(self.pat		,     _A				):
												__a										=    ''''''.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(_A				).split(''' '''				)				)
								return bpe_tokens




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      Dict:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      int:


								'''simple docstring'''




								return self.decoder.get(_A				)




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      List[str]:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     _snake_case = None				)    ->      Optional[int]:


								'''simple docstring'''




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

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

								__a										=    0
								with open(_A		,     '''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!'''				)
																				__a										=    token_index
																writer.write(''' '''.join(_A				) + '''\n'''				)
																index += 1

								return vocab_file, merge_file




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     _snake_case = None				)    ->      str:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     _snake_case = None		,     _snake_case = False				)    ->      List[str]:


								'''simple docstring'''




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

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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     _snake_case = None				)    ->      Union[str, Any]:


								'''simple docstring'''




								__a										=    [self.sep_token_id]
								__a										=    [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		,     _snake_case		,     _snake_case=False		,     **_snake_case				)    ->      Dict:


								'''simple docstring'''




								__a										=    kwargs.pop('''add_prefix_space'''		,     self.add_prefix_space				)
								if (is_split_into_words or add_prefix_space) and (len(_A				) > 0 and not text[0].isspace()):
												__a										=    ''' ''' + text
								return (text, kwargs)





from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels




