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       =		logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
_lowerCAmelCase       =		{
    "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",
    },
}

_lowerCAmelCase       =		{
    "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 					_snake_case	(  ):
					_UpperCamelCase			     =     (
					    list(range(ord('''!'''						)  ,     ord('''~'''						) + 1						)						) + list(range(ord('''¡'''						)  ,     ord('''¬'''						) + 1						)						) + list(range(ord('''®'''						)  ,     ord('''ÿ'''						) + 1						)						)
					)
					_UpperCamelCase			     =     bs[:]
					_UpperCamelCase			     =     0
					for b in range(2**8						):
										if b not in bs:
															bs.append(__snake_case						)
															cs.append(2**8 + n						)
															n += 1
					_UpperCamelCase			     =     [chr(__snake_case						) for n in cs]
					return dict(zip(__snake_case  ,     __snake_case						)						)
def 					_snake_case	(  __snake_case						):
					_UpperCamelCase			     =     set()
					_UpperCamelCase			     =     word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)						)
										_UpperCamelCase			     =     char
					return pairs







class     lowerCAmelCase_     (       __lowercase ):
							UpperCAmelCase				   =     VOCAB_FILES_NAMES
							UpperCAmelCase				   =     PRETRAINED_VOCAB_FILES_MAP
							UpperCAmelCase				   =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCAmelCase				   =     ["input_ids", "attention_mask"]







							def __init__(   self      :     Dict ,			_A      :     Optional[int] ,			_A      :     List[Any] ,			_A      :     List[str]="replace" ,			_A      :     Optional[int]="<s>" ,			_A      :     Optional[int]="</s>" ,			_A      :     str="</s>" ,			_A      :     Any="<s>" ,			_A      :     Tuple="<unk>" ,			_A      :     Dict="<pad>" ,			_A      :     List[Any]="<mask>" ,			_A      :     List[Any]=False ,			**_A      :     Tuple ,			):
												_UpperCamelCase			     =     AddedToken(_A ,			lstrip=_A ,			rstrip=_A		) if isinstance(_A ,			_A		) else bos_token
												_UpperCamelCase			     =     AddedToken(_A ,			lstrip=_A ,			rstrip=_A		) if isinstance(_A ,			_A		) else eos_token
												_UpperCamelCase			     =     AddedToken(_A ,			lstrip=_A ,			rstrip=_A		) if isinstance(_A ,			_A		) else sep_token
												_UpperCamelCase			     =     AddedToken(_A ,			lstrip=_A ,			rstrip=_A		) if isinstance(_A ,			_A		) else cls_token
												_UpperCamelCase			     =     AddedToken(_A ,			lstrip=_A ,			rstrip=_A		) if isinstance(_A ,			_A		) else unk_token
												_UpperCamelCase			     =     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
												_UpperCamelCase			     =     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:
																	_UpperCamelCase			     =     json.load(_A		)
												_UpperCamelCase			     =     {v: k for k, v in self.encoder.items()}
												_UpperCamelCase			     =     errors  # how to handle errors in decoding
												_UpperCamelCase			     =     bytes_to_unicode()
												_UpperCamelCase			     =     {v: k for k, v in self.byte_encoder.items()}
												with open(_A ,			encoding='''utf-8'''		) as merges_handle:
																	_UpperCamelCase			     =     merges_handle.read().split('''\n'''		)[1:-1]
												_UpperCamelCase			     =     [tuple(merge.split()		) for merge in bpe_merges]
												_UpperCamelCase			     =     dict(zip(_A ,			range(len(_A		)		)		)		)
												_UpperCamelCase			     =     {}
												_UpperCamelCase			     =     add_prefix_space

												# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
												_UpperCamelCase			     =     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      :     Optional[Any]		):
												return len(self.encoder		)







							def  UpperCamelCase_						(   self      :     List[Any]		):
												return dict(self.encoder ,			**self.added_tokens_encoder		)







							def  UpperCamelCase_						(   self      :     Tuple ,			_A      :     Dict		):
												if token in self.cache:
																	return self.cache[token]
												_UpperCamelCase			     =     tuple(_A		)
												_UpperCamelCase			     =     get_pairs(_A		)

												if not pairs:
																	return token

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







							def  UpperCamelCase_						(   self      :     Optional[int] ,			_A      :     Tuple		):
												_UpperCamelCase			     =     []
												for token in re.findall(self.pat ,			_A		):
																	_UpperCamelCase			     =     ''''''.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  UpperCamelCase_						(   self      :     Any ,			_A      :     List[str]		):
												return self.encoder.get(_A ,			self.encoder.get(self.unk_token		)		)







							def  UpperCamelCase_						(   self      :     int ,			_A      :     Tuple		):
												return self.decoder.get(_A		)







							def  UpperCamelCase_						(   self      :     Dict ,			_A      :     List[Any]		):
												_UpperCamelCase			     =     ''''''.join(_A		)
												_UpperCamelCase			     =     bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8''' ,			errors=self.errors		)
												return text







							def  UpperCamelCase_						(   self      :     Optional[Any] ,			_A      :     str ,			_A      :     Optional[str] = None		):
												if not os.path.isdir(_A		):
																	logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
																	return
												_UpperCamelCase			     =     os.path.join(
												    _A ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
												_UpperCamelCase			     =     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'''		)

												_UpperCamelCase			     =     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 _A		: 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!'''		)
																											_UpperCamelCase			     =     token_index
																						writer.write(''' '''.join(_A		) + '''\n'''		)
																						index += 1

												return vocab_file, merge_file







							def  UpperCamelCase_						(   self      :     Optional[int] ,			_A      :     List[int] ,			_A      :     Optional[List[int]] = None		):
												if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												_UpperCamelCase			     =     [self.cls_token_id]
												_UpperCamelCase			     =     [self.sep_token_id]
												return cls + token_ids_a + sep + sep + token_ids_a + sep







							def  UpperCamelCase_						(   self      :     Dict ,			_A      :     List[int] ,			_A      :     Optional[List[int]] = None ,			_A      :     bool = False		):
												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  UpperCamelCase_						(   self      :     Union[str, Any] ,			_A      :     List[int] ,			_A      :     Optional[List[int]] = None		):
												_UpperCamelCase			     =     [self.sep_token_id]
												_UpperCamelCase			     =     [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 ,			_A      :     int ,			_A      :     List[Any]=False ,			**_A      :     List[Any]		):
												_UpperCamelCase			     =     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()):
																	_UpperCamelCase			     =     ''' ''' + text
												return (text, kwargs)








from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

lowerCamelCase      :       Optional[Any]    =						{
    '''google/pegasus-large''': '''https://huggingface.co/google/pegasus-large/resolve/main/config.json''',
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}



class 				_UpperCamelCase      (a_      ):
      snake_case_	=				"""pegasus"""
      snake_case_	=				["""past_key_values"""]
      snake_case_	=				{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}


      def __init__(						self       ,    __UpperCamelCase=5_0_2_6_5       ,    __UpperCamelCase=1_0_2_4       ,    __UpperCamelCase=1_2       ,    __UpperCamelCase=4_0_9_6       ,    __UpperCamelCase=1_6       ,    __UpperCamelCase=1_2       ,    __UpperCamelCase=4_0_9_6       ,    __UpperCamelCase=1_6       ,    __UpperCamelCase=0.0       ,    __UpperCamelCase=0.0       ,    __UpperCamelCase=True       ,    __UpperCamelCase=True       ,    __UpperCamelCase="gelu"       ,    __UpperCamelCase=1_0_2_4       ,    __UpperCamelCase=0.1       ,    __UpperCamelCase=0.0       ,    __UpperCamelCase=0.0       ,    __UpperCamelCase=0.0_2       ,    __UpperCamelCase=0       ,    __UpperCamelCase=False       ,    __UpperCamelCase=0       ,    __UpperCamelCase=1       ,    __UpperCamelCase=1       ,    **__UpperCamelCase       ,    )->						Tuple:
           __lowerCAmelCase             =       vocab_size
           __lowerCAmelCase             =       max_position_embeddings
           __lowerCAmelCase             =       d_model
           __lowerCAmelCase             =       encoder_ffn_dim
           __lowerCAmelCase             =       encoder_layers
           __lowerCAmelCase             =       encoder_attention_heads
           __lowerCAmelCase             =       decoder_ffn_dim
           __lowerCAmelCase             =       decoder_layers
           __lowerCAmelCase             =       decoder_attention_heads
           __lowerCAmelCase             =       dropout
           __lowerCAmelCase             =       attention_dropout
           __lowerCAmelCase             =       activation_dropout
           __lowerCAmelCase             =       activation_function
           __lowerCAmelCase             =       init_std
           __lowerCAmelCase             =       encoder_layerdrop
           __lowerCAmelCase             =       decoder_layerdrop
           __lowerCAmelCase             =       use_cache
           __lowerCAmelCase             =       encoder_layers
           __lowerCAmelCase             =       scale_embedding  # scale factor will be sqrt(d_model) if True
           super().__init__(
               pad_token_id=__UpperCamelCase       ,    eos_token_id=__UpperCamelCase       ,    is_encoder_decoder=__UpperCamelCase       ,    decoder_start_token_id=__UpperCamelCase       ,    forced_eos_token_id=__UpperCamelCase       ,    **__UpperCamelCase       ,    )


      @property
      def 			__UpperCAmelCase		(						self						)->						int:
           return self.encoder_attention_heads


      @property
      def 			__UpperCAmelCase		(						self						)->						int:
           return self.d_model






