
from abc import ABC, abstractmethod
from argparse import ArgumentParser





class    __A(					UpperCAmelCase							):

					@staticmethod
					@abstractmethod
					def  lowercase__   (						__UpperCamelCase       :  ArgumentParser ):
												raise NotImplementedError()



					@abstractmethod
					def  lowercase__   (						self       :  List[str] ):
												raise NotImplementedError()







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   =	None


lowercase   =	logging.get_logger(__name__)


lowercase   =	{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase   =	{
    '''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   =	{
    '''facebook/mbart-large-en-ro''': 1_0_2_4,
    '''facebook/mbart-large-cc25''': 1_0_2_4,
}

# fmt: off
lowercase   =	['''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    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					SCREAMING_SNAKE_CASE           =     PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE           =     ['''input_ids''', '''attention_mask''']
					SCREAMING_SNAKE_CASE           =     MBartTokenizer

					SCREAMING_SNAKE_CASE           =     []
					SCREAMING_SNAKE_CASE           =     []

					def __init__(						self       :  Any ,       __UpperCamelCase       :  Optional[int]=None ,       __UpperCamelCase       :  int=None ,       __UpperCamelCase       :  Dict="<s>" ,       __UpperCamelCase       :  Tuple="</s>" ,       __UpperCamelCase       :  Union[str, Any]="</s>" ,       __UpperCamelCase       :  Optional[Any]="<s>" ,       __UpperCamelCase       :  Optional[Any]="<unk>" ,       __UpperCamelCase       :  Dict="<pad>" ,       __UpperCamelCase       :  Dict="<mask>" ,       __UpperCamelCase       :  Any=None ,       __UpperCamelCase       :  Optional[int]=None ,       __UpperCamelCase       :  Optional[int]=None ,       **__UpperCamelCase       :  str ,       ):
												# Mask token behave like a normal word, i.e. include the space before it
												lowerCamelCase_					=       AddedToken(__UpperCamelCase ,       lstrip=__UpperCamelCase ,       rstrip=__UpperCamelCase ) if isinstance(__UpperCamelCase ,       __UpperCamelCase ) else mask_token

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

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

												lowerCamelCase_					=       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} )
												lowerCamelCase_					=       {
												    lang_code: self.convert_tokens_to_ids(__UpperCamelCase ) for lang_code in FAIRSEQ_LANGUAGE_CODES
												}

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

					@property
					def  lowercase__   (						self       :  List[str] ):
												return self._src_lang

					@src_lang.setter
					def  lowercase__   (						self       :  Optional[int] ,       __UpperCamelCase       :  str ):
												lowerCamelCase_					=       new_src_lang
												self.set_src_lang_special_tokens(self._src_lang )

					def  lowercase__   (						self       :  Optional[int] ,       __UpperCamelCase       :  List[int] ,       __UpperCamelCase       :  Optional[List[int]] = 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  lowercase__   (						self       :  Dict ,       __UpperCamelCase       :  List[int] ,       __UpperCamelCase       :  Optional[List[int]] = None ):
												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  lowercase__   (						self       :  int ,       __UpperCamelCase       :  Tuple ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  Optional[str] ,       __UpperCamelCase       :  Optional[str] ,       **__UpperCamelCase       :  Dict ):
												if src_lang is None or tgt_lang is None:
																			raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model""" )
												lowerCamelCase_					=       src_lang
												lowerCamelCase_					=       self(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase ,       return_tensors=__UpperCamelCase ,       **__UpperCamelCase )
												lowerCamelCase_					=       self.convert_tokens_to_ids(__UpperCamelCase )
												lowerCamelCase_					=       tgt_lang_id
												return inputs

					def  lowercase__   (						self       :  Tuple ,       __UpperCamelCase       :  List[str] ,       __UpperCamelCase       :  str = "en_XX" ,       __UpperCamelCase       :  Optional[List[str]] = None ,       __UpperCamelCase       :  str = "ro_RO" ,       **__UpperCamelCase       :  Optional[int] ,       ):
												lowerCamelCase_					=       src_lang
												lowerCamelCase_					=       tgt_lang
												return super().prepare_seqaseq_batch(__UpperCamelCase ,       __UpperCamelCase ,       **__UpperCamelCase )

					def  lowercase__   (						self       :  int ):
												return self.set_src_lang_special_tokens(self.src_lang )

					def  lowercase__   (						self       :  Dict ):
												return self.set_tgt_lang_special_tokens(self.tgt_lang )

					def  lowercase__   (						self       :  Dict ,       __UpperCamelCase       :  Dict ):
												lowerCamelCase_					=       self.convert_tokens_to_ids(__UpperCamelCase )
												lowerCamelCase_					=       []
												lowerCamelCase_					=       [self.eos_token_id, self.cur_lang_code]

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

												lowerCamelCase_					=       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  lowercase__   (						self       :  Dict ,       __UpperCamelCase       :  str ):
												lowerCamelCase_					=       self.convert_tokens_to_ids(__UpperCamelCase )
												lowerCamelCase_					=       []
												lowerCamelCase_					=       [self.eos_token_id, self.cur_lang_code]

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

												lowerCamelCase_					=       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  lowercase__   (						self       :  Tuple ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  Optional[str] = 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(__UpperCamelCase ):
																			logger.error(F'''Vocabulary path ({save_directory}) should be a directory.''' )
																			return
												lowerCamelCase_					=       os.path.join(
												    __UpperCamelCase ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )

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

												return (out_vocab_file,)





