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


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

# See all BART models at https://huggingface.co/models?filter=bart
A     :	List[str]    = {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

A     :	Optional[Any]    = {
    'facebook/bart-base': 1_0_2_4,
    'facebook/bart-large': 1_0_2_4,
    'facebook/bart-large-mnli': 1_0_2_4,
    'facebook/bart-large-cnn': 1_0_2_4,
    'facebook/bart-large-xsum': 1_0_2_4,
    'yjernite/bart_eli5': 1_0_2_4,
}


@lru_cache()
def     __lowerCAmelCase			(			)       ->  Union[str, Any]:
				__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(a__  )
												cs.append(2**8 + n  )
												n += 1
				__a										=    [chr(a__  ) for n in cs]
				return dict(zip(a__						,    a__  )  )


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







class 			__A( a			):
				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		,     )    ->      Tuple:


								'''simple docstring'''




								__a										=    AddedToken(_snake_case		,     lstrip=_snake_case		,     rstrip=_snake_case				) if isinstance(_snake_case		,     _snake_case				) else bos_token
								__a										=    AddedToken(_snake_case		,     lstrip=_snake_case		,     rstrip=_snake_case				) if isinstance(_snake_case		,     _snake_case				) else eos_token
								__a										=    AddedToken(_snake_case		,     lstrip=_snake_case		,     rstrip=_snake_case				) if isinstance(_snake_case		,     _snake_case				) else sep_token
								__a										=    AddedToken(_snake_case		,     lstrip=_snake_case		,     rstrip=_snake_case				) if isinstance(_snake_case		,     _snake_case				) else cls_token
								__a										=    AddedToken(_snake_case		,     lstrip=_snake_case		,     rstrip=_snake_case				) if isinstance(_snake_case		,     _snake_case				) else unk_token
								__a										=    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
								__a										=    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:
												__a										=    json.load(_snake_case				)
								__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(_snake_case		,     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(_snake_case		,     range(len(_snake_case				)				)				)				)
								__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				)    ->      str:


								'''simple docstring'''




								return len(self.encoder				)




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Tuple:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      int:


								'''simple docstring'''




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

								if not pairs:
												return token

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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      Any:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      int:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      Optional[int]:


								'''simple docstring'''




								return self.decoder.get(_snake_case				)




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


								'''simple docstring'''




								__a										=    ''''''.join(_snake_case				)
								__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				)    ->      Tuple[str]:


								'''simple docstring'''




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

								__a										=    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!'''				)
																				__a										=    token_index
																writer.write(''' '''.join(_snake_case				) + '''\n'''				)
																index += 1

								return vocab_file, merge_file




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


								'''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[int]:


								'''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		,     _snake_case		,     _snake_case = None				)    ->      List[int]:


								'''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				)    ->      Optional[int]:


								'''simple docstring'''




								__a										=    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()):
												__a										=    ''' ''' + text
								return (text, kwargs)

def     __lowerCAmelCase			(			a__						,    a__						,    a__  )       ->  list:
				__a										=    len(a__  )
				__a										=    [[0] * n for i in range(a__  )]
				for i in range(a__  ):
								__a										=    y_points[i]

				for i in range(2						,    a__  ):
								for j in range(a__						,    a__  ):
												__a										=    (
												    (xa - x_points[j - i + 1]) * q[j][i - 1]
												    - (xa - x_points[j]) * q[j - 1][i - 1]
												) / (x_points[j] - x_points[j - i + 1])

				return [q[n - 1][n - 1], q]


if __name__ == "__main__":
					import doctest

					doctest.testmod()