



'''simple docstring'''


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_   :					Dict        =     None


lowercase_   :					Tuple        =     logging.get_logger(__name__)


lowercase_   :					str        =     {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

lowercase_   :					Union[str, 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_   :					Dict        =     {
    "facebook/mbart-large-en-ro": 1024,
    "facebook/mbart-large-cc25": 1024,
}

# fmt: off
lowercase_   :					str        =     ["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   __UpperCamelCase							(a_      ):
	__A      	=       VOCAB_FILES_NAMES
	__A      	=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__A      	=       PRETRAINED_VOCAB_FILES_MAP
	__A      	=       ['''input_ids''', '''attention_mask''']
	__A      	=       MBartTokenizer

	__A      	=       []
	__A      	=       []







	def __init__(     self			,					_lowerCAmelCase=None			,					_lowerCAmelCase=None			,					_lowerCAmelCase="<s>"			,					_lowerCAmelCase="</s>"			,					_lowerCAmelCase="</s>"			,					_lowerCAmelCase="<s>"			,					_lowerCAmelCase="<unk>"			,					_lowerCAmelCase="<pad>"			,					_lowerCAmelCase="<mask>"			,					_lowerCAmelCase=None			,					_lowerCAmelCase=None			,					_lowerCAmelCase=None			,					**_lowerCAmelCase			,					)     ->     Dict:
							'''simple docstring'''






							lowercase   =				AddedToken(_SCREAMING_SNAKE_CASE			,					lstrip=_SCREAMING_SNAKE_CASE			,					rstrip=_SCREAMING_SNAKE_CASE    ) if isinstance(_SCREAMING_SNAKE_CASE			,					_SCREAMING_SNAKE_CASE    ) else mask_token

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

							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(_SCREAMING_SNAKE_CASE    ) 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    )     ->     str:
							'''simple docstring'''






							return self._src_lang







	@src_lang.setter
	def 	_a (     self			,					_lowerCAmelCase    )     ->     int:
							'''simple docstring'''






							lowercase   =				new_src_lang
							self.set_src_lang_special_tokens(self._src_lang    )







	def 	_a (     self			,					_lowerCAmelCase			,					_lowerCAmelCase = None    )     ->     int:
							'''simple docstring'''






							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			,					_lowerCAmelCase			,					_lowerCAmelCase = None    )     ->     str:
							'''simple docstring'''






							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			,					_lowerCAmelCase			,					_lowerCAmelCase			,					_lowerCAmelCase			,					_lowerCAmelCase			,					**_lowerCAmelCase    )     ->     Any:
							'''simple docstring'''






							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(_SCREAMING_SNAKE_CASE			,					add_special_tokens=_SCREAMING_SNAKE_CASE			,					return_tensors=_SCREAMING_SNAKE_CASE			,					**_SCREAMING_SNAKE_CASE    )
							lowercase   =				self.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE    )
							lowercase   =				tgt_lang_id
							return inputs







	def 	_a (     self			,					_lowerCAmelCase			,					_lowerCAmelCase = "en_XX"			,					_lowerCAmelCase = None			,					_lowerCAmelCase = "ro_RO"			,					**_lowerCAmelCase			,					)     ->     Union[str, Any]:
							'''simple docstring'''






							lowercase   =				src_lang
							lowercase   =				tgt_lang
							return super().prepare_seqaseq_batch(_SCREAMING_SNAKE_CASE			,					_SCREAMING_SNAKE_CASE			,					**_SCREAMING_SNAKE_CASE    )







	def 	_a (     self    )     ->     Union[str, Any]:
							'''simple docstring'''






							return self.set_src_lang_special_tokens(self.src_lang    )







	def 	_a (     self    )     ->     Any:
							'''simple docstring'''






							return self.set_tgt_lang_special_tokens(self.tgt_lang    )







	def 	_a (     self			,					_lowerCAmelCase    )     ->     int:
							'''simple docstring'''






							lowercase   =				self.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE    )
							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			,					_lowerCAmelCase    )     ->     List[Any]:
							'''simple docstring'''






							lowercase   =				self.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE    )
							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			,					_lowerCAmelCase			,					_lowerCAmelCase = None    )     ->     Any:
							'''simple docstring'''






							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(_SCREAMING_SNAKE_CASE    ):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""    )
													return
							lowercase   =				os.path.join(
							    _SCREAMING_SNAKE_CASE			,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )

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

							return (out_vocab_file,)





'''simple docstring'''



def       snake_case   (	snake_case      : int					,		snake_case      : int					,		snake_case      : int			) ->  int:


    """simple docstring"""


    if exponent == 1:
        return base
    if exponent % 2 == 0:
        lowerCAmelCase 						=							_modexpt(snake_case					,		exponent // 2					,		snake_case			) % modulo_value
        return (x * x) % modulo_value
    else:
        return (base * _modexpt(snake_case					,		exponent - 1					,		snake_case			)) % modulo_value


def       snake_case   (	snake_case      : int = 1777					,		snake_case      : int = 1855					,		snake_case      : int = 8			) ->  int:


    """simple docstring"""


    lowerCAmelCase 						=							base
    for _ in range(1					,		snake_case			):
        lowerCAmelCase 						=							_modexpt(snake_case					,		snake_case					,		10**digits			)

    return result


if __name__ == "__main__":
     print(F"""{solution() = }""")





