'''simple docstring'''

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


lowercase_     		= logging.get_logger(__name__)


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

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

lowercase_     		= {
    '''facebook/bart-base''': 1024,
    '''facebook/bart-large''': 1024,
    '''facebook/bart-large-mnli''': 1024,
    '''facebook/bart-large-cnn''': 1024,
    '''facebook/bart-large-xsum''': 1024,
    '''yjernite/bart_eli5''': 1024,
}



@lru_cache()
def 							UpperCamelCase__			(			):


						'''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 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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


class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""
		lowercase   :      Optional[Any]       =							VOCAB_FILES_NAMES
		lowercase   :      List[Any]       =							PRETRAINED_VOCAB_FILES_MAP
		lowercase   :      Optional[int]       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowercase   :      Optional[int]       =							['input_ids', 'attention_mask']






		def __init__(   self		,						__A		,						__A		,						__A="replace"		,						__A="<s>"		,						__A="</s>"		,						__A="</s>"		,						__A="<s>"		,						__A="<unk>"		,						__A="<pad>"		,						__A="<mask>"		,						__A=False		,						**__A		,						) ->     Optional[int]:
								_lowerCAmelCase										=AddedToken(__A		,						lstrip=__A		,						rstrip=__A				) if isinstance(__A		,						__A				) else bos_token
								_lowerCAmelCase										=AddedToken(__A		,						lstrip=__A		,						rstrip=__A				) if isinstance(__A		,						__A				) else eos_token
								_lowerCAmelCase										=AddedToken(__A		,						lstrip=__A		,						rstrip=__A				) if isinstance(__A		,						__A				) else sep_token
								_lowerCAmelCase										=AddedToken(__A		,						lstrip=__A		,						rstrip=__A				) if isinstance(__A		,						__A				) else cls_token
								_lowerCAmelCase										=AddedToken(__A		,						lstrip=__A		,						rstrip=__A				) if isinstance(__A		,						__A				) else unk_token
								_lowerCAmelCase										=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
								_lowerCAmelCase										=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:
														_lowerCAmelCase										=json.load(__A				)
								_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(__A		,						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(__A		,						range(len(__A				)				)				)				)
								_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 		UpperCamelCase__       (   self				) ->     str:
								return len(self.encoder				)






		def 		UpperCamelCase__       (   self				) ->     List[str]:
								return dict(self.encoder		,						**self.added_tokens_encoder				)






		def 		UpperCamelCase__       (   self		,						__A				) ->     List[Any]:
								if token in self.cache:
														return self.cache[token]
								_lowerCAmelCase										=tuple(__A				)
								_lowerCAmelCase										=get_pairs(__A				)

								if not pairs:
														return token

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






		def 		UpperCamelCase__       (   self		,						__A				) ->     Optional[Any]:
								_lowerCAmelCase										=[]
								for token in re.findall(self.pat		,						__A				):
														_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(__A				).split(' '				)				)
								return bpe_tokens






		def 		UpperCamelCase__       (   self		,						__A				) ->     Optional[Any]:
								return self.encoder.get(__A		,						self.encoder.get(self.unk_token				)				)






		def 		UpperCamelCase__       (   self		,						__A				) ->     str:
								return self.decoder.get(__A				)






		def 		UpperCamelCase__       (   self		,						__A				) ->     List[Any]:
								_lowerCAmelCase										=''.join(__A				)
								_lowerCAmelCase										=bytearray([self.byte_decoder[c] for c in text]				).decode('utf-8'		,						errors=self.errors				)
								return text






		def 		UpperCamelCase__       (   self		,						__A		,						__A = None				) ->     Tuple[str]:
								if not os.path.isdir(__A				):
														logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
														return
								_lowerCAmelCase										=os.path.join(
								    __A		,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)
								_lowerCAmelCase										=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'				)

								_lowerCAmelCase										=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!'				)
																										_lowerCAmelCase										=token_index
																				writer.write(' '.join(__A				) + '\n'				)
																				index += 1

								return vocab_file, merge_file






		def 		UpperCamelCase__       (   self		,						__A		,						__A = None				) ->     List[int]:
								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 		UpperCamelCase__       (   self		,						__A		,						__A = None		,						__A = False				) ->     List[int]:
								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		,						__A		,						__A = None				) ->     List[int]:
								_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 		UpperCamelCase__       (   self		,						__A		,						__A=False		,						**__A				) ->     str:
								_lowerCAmelCase										=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()):
														_lowerCAmelCase										=' ' + text
								return (text, kwargs)






'''simple docstring'''

lowercase_     		= '''
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowercase_     		= [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowercase_     		= {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}





