





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 						=      logging.get_logger(__name__)


_a 						=      {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all BART models at https://huggingface.co/models?filter=bart
_a 						=      {
    "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 						=      {
    "facebook/bart-base": 1_024,
    "facebook/bart-large": 1_024,
    "facebook/bart-large-mnli": 1_024,
    "facebook/bart-large-cnn": 1_024,
    "facebook/bart-large-xsum": 1_024,
    "yjernite/bart_eli5": 1_024,
}





@lru_cache()
def lowerCAmelCase__()				->      Union[str, Any]:







	'''simple docstring'''







	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(_A							)
			cs.append(2**8 + n							)
			n += 1
	lowerCamelCase__								=		[chr(_A							) for n in cs]
	return dict(zip(_A       ,_A							)							)





def lowerCAmelCase__(__snake_case							)				->      Tuple:







	'''simple docstring'''







	lowerCamelCase__								=		set()
	lowerCamelCase__								=		word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)							)
		lowerCamelCase__								=		char
	return pairs






class 					__A    (    lowercase__ ):

			'''simple docstring'''







			lowerCAmelCase_							     =						VOCAB_FILES_NAMES
			lowerCAmelCase_							     =						PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_							     =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase_							     =						["""input_ids""", """attention_mask"""]





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



				'''simple docstring'''







				lowerCamelCase__								=		AddedToken(__lowerCamelCase       ,  lstrip=__lowerCamelCase       ,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase       ,  __lowerCamelCase							) else bos_token
				lowerCamelCase__								=		AddedToken(__lowerCamelCase       ,  lstrip=__lowerCamelCase       ,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase       ,  __lowerCamelCase							) else eos_token
				lowerCamelCase__								=		AddedToken(__lowerCamelCase       ,  lstrip=__lowerCamelCase       ,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase       ,  __lowerCamelCase							) else sep_token
				lowerCamelCase__								=		AddedToken(__lowerCamelCase       ,  lstrip=__lowerCamelCase       ,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase       ,  __lowerCamelCase							) else cls_token
				lowerCamelCase__								=		AddedToken(__lowerCamelCase       ,  lstrip=__lowerCamelCase       ,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase       ,  __lowerCamelCase							) else unk_token
				lowerCamelCase__								=		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
				lowerCamelCase__								=		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:
					lowerCamelCase__								=		json.load(__lowerCamelCase							)
				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(__lowerCamelCase       ,  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(__lowerCamelCase       ,  range(len(__lowerCamelCase							)							)							)							)
				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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				return len(self.encoder							)





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				if token in self.cache:
					return self.cache[token]
				lowerCamelCase__								=		tuple(__lowerCamelCase							)
				lowerCamelCase__								=		get_pairs(__lowerCamelCase							)

				if not pairs:
					return token

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





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				return self.decoder.get(__lowerCamelCase							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







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

				lowerCamelCase__								=		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!'''							)
							lowerCamelCase__								=		token_index
						writer.write(''' '''.join(__lowerCamelCase							) + '''\n'''							)
						index += 1

				return vocab_file, merge_file





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = 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 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = 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 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = 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 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase=False       ,  **__lowerCAmelCase							):



				'''simple docstring'''







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







class 			_lowercase :  # Public class to implement a graph


       """simple docstring"""




       def __init__(   self							:			Dict					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			list[list[bool]]       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  row
             lowerCamelCase__		:				Optional[Any]    =  col
             lowerCamelCase__		:				Union[str, Any]    =  graph





       def 						lowerCAmelCase     (   self							:			Optional[int]					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			list[list[bool]]       ):


             '''simple docstring'''



             return (
                 0 <= i < self.ROW
                 and 0 <= j < self.COL
                 and not visited[i][j]
                 and self.graph[i][j]
             )





       def 						lowerCAmelCase     (   self							:			Dict					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			list[list[bool]]       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
             lowerCamelCase__		:				Tuple    =  [-1, 0, 1, -1, 1, -1, 0, 1]
             lowerCamelCase__		:				List[Any]    =  True  # Make those cells visited
             for k in range(8       ):
                   if self.is_safe(i + row_nbr[k]					,      j + col_nbr[k]					,      __lowerCamelCase       ):
                         self.diffs(i + row_nbr[k]					,      j + col_nbr[k]					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			List[Any]       ):  # And finally, count all islands.


             '''simple docstring'''



             lowerCamelCase__		:				List[Any]    =  [[False for j in range(self.COL       )] for i in range(self.ROW       )]
             lowerCamelCase__		:				Optional[Any]    =  0
             for i in range(self.ROW       ):
                   for j in range(self.COL       ):
                         if visited[i][j] is False and self.graph[i][j] == 1:
                               self.diffs(__lowerCamelCase					,      __lowerCamelCase					,      __lowerCamelCase       )
                               count += 1
             return count


