
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
							from .tokenization_mbart import MBartTokenizer
else:
							lowercase__	:List[Any]										=					None


lowercase__	:Any										=					logging.get_logger(__name__)


lowercase__	:List[Any]										=					{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

lowercase__	:List[Any]										=					{
    "vocab_file": {
        "facebook/mbart-large-en-ro": (
            "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model"
        ),
        "facebook/mbart-large-cc25": (
            "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "facebook/mbart-large-en-ro": "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json",
        "facebook/mbart-large-cc25": "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json",
    },
}

lowercase__	:List[Any]										=					{
    "facebook/mbart-large-en-ro": 1024,
    "facebook/mbart-large-cc25": 1024,
}

# fmt: off
lowercase__	:Union[str, Any]										=					["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN"]







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Tuple       =VOCAB_FILES_NAMES
							lowercase_ : List[Any]       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_ : List[str]       =PRETRAINED_VOCAB_FILES_MAP
							lowercase_ : Optional[Any]       =['''input_ids''', '''attention_mask''']
							lowercase_ : Optional[int]       =MBartTokenizer

							lowercase_ : List[int]       =[]
							lowercase_ : List[int]       =[]




							def __init__(       self     ,A__=None     ,A__=None     ,A__="<s>"     ,A__="</s>"     ,A__="</s>"     ,A__="<s>"     ,A__="<unk>"     ,A__="<pad>"     ,A__="<mask>"     ,A__=None     ,A__=None     ,A__=None     ,**A__     ,):
												# Mask token behave like a normal word, i.e. include the space before it
												lowercase					=		AddedToken(A__     ,lstrip=A__     ,rstrip=A__) if isinstance(A__     ,A__) else mask_token

												super().__init__(
												    vocab_file=A__     ,tokenizer_file=A__     ,bos_token=A__     ,eos_token=A__     ,sep_token=A__     ,cls_token=A__     ,unk_token=A__     ,pad_token=A__     ,mask_token=A__     ,src_lang=A__     ,tgt_lang=A__     ,additional_special_tokens=A__     ,**A__     ,)

												lowercase					=		vocab_file
												lowercase					=		False if not self.vocab_file else True

												lowercase					=		FAIRSEQ_LANGUAGE_CODES.copy()

												if additional_special_tokens is not None:
																	# Only add those special tokens if they are not already there.
																	_additional_special_tokens.extend(
																	    [t for t in additional_special_tokens if t not in _additional_special_tokens])

												self.add_special_tokens({'''additional_special_tokens''': _additional_special_tokens})
												lowercase					=		{
												    lang_code: self.convert_tokens_to_ids(A__) for lang_code in FAIRSEQ_LANGUAGE_CODES
												}

												lowercase					=		src_lang if src_lang is not None else '''en_XX'''
												lowercase					=		self.convert_tokens_to_ids(self._src_lang)
												lowercase					=		tgt_lang
												self.set_src_lang_special_tokens(self._src_lang)




							@property
							def 				A__   (       self):
												return self._src_lang




							@src_lang.setter
							def 				A__   (       self     ,A__):
												lowercase					=		new_src_lang
												self.set_src_lang_special_tokens(self._src_lang)




							def 				A__   (       self     ,A__     ,A__ = None):
												if token_ids_a is None:
																	return self.prefix_tokens + token_ids_a + self.suffix_tokens
												# We don't expect to process pairs, but leave the pair logic for API consistency
												return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens




							def 				A__   (       self     ,A__     ,A__ = None):
												lowercase					=		[self.sep_token_id]
												lowercase					=		[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 				A__   (       self     ,A__     ,A__     ,A__     ,A__     ,**A__):
												if src_lang is None or tgt_lang is None:
																	raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model''')
												lowercase					=		src_lang
												lowercase					=		self(A__     ,add_special_tokens=A__     ,return_tensors=A__     ,**A__)
												lowercase					=		self.convert_tokens_to_ids(A__)
												lowercase					=		tgt_lang_id
												return inputs




							def 				A__   (       self     ,A__     ,A__ = "en_XX"     ,A__ = None     ,A__ = "ro_RO"     ,**A__     ,):
												lowercase					=		src_lang
												lowercase					=		tgt_lang
												return super().prepare_seqaseq_batch(A__     ,A__     ,**A__)




							def 				A__   (       self):
												return self.set_src_lang_special_tokens(self.src_lang)




							def 				A__   (       self):
												return self.set_tgt_lang_special_tokens(self.tgt_lang)




							def 				A__   (       self     ,A__):
												lowercase					=		self.convert_tokens_to_ids(A__)
												lowercase					=		[]
												lowercase					=		[self.eos_token_id, self.cur_lang_code]

												lowercase					=		self.convert_ids_to_tokens(self.prefix_tokens)
												lowercase					=		self.convert_ids_to_tokens(self.suffix_tokens)

												lowercase					=		processors.TemplateProcessing(
												    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str     ,pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str     ,special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str     ,self.prefix_tokens + self.suffix_tokens))     ,)




							def 				A__   (       self     ,A__):
												lowercase					=		self.convert_tokens_to_ids(A__)
												lowercase					=		[]
												lowercase					=		[self.eos_token_id, self.cur_lang_code]

												lowercase					=		self.convert_ids_to_tokens(self.prefix_tokens)
												lowercase					=		self.convert_ids_to_tokens(self.suffix_tokens)

												lowercase					=		processors.TemplateProcessing(
												    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str     ,pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str     ,special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str     ,self.prefix_tokens + self.suffix_tokens))     ,)





							def 				A__   (       self     ,A__     ,A__ = None):
												if not self.can_save_slow_tokenizer:
																	raise ValueError(
																	    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
																	    '''tokenizer.''')

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

												if os.path.abspath(self.vocab_file) != os.path.abspath(A__):
																	copyfile(self.vocab_file     ,A__)

												return (out_vocab_file,)






def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					return int((input_a, input_a).count(0	) == 0	)



def  UpperCamelCase					(							):
					'''simple docstring'''
					assert and_gate(0				,    0	) == 0
					assert and_gate(0				,    1	) == 0
					assert and_gate(1				,    0	) == 0
					assert and_gate(1				,    1	) == 1


if __name__ == "__main__":
							test_and_gate()
							print(and_gate(1, 0))
							print(and_gate(0, 0))
							print(and_gate(0, 1))
							print(and_gate(1, 1))




