




'''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_mbartaa import MBartaaTokenizer
else:
      A_ 			=		None


A_ 			=		logging.get_logger(__name__)

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

A_ 			=		{
    "vocab_file": {
        "facebook/mbart-large-50-one-to-many-mmt": (
            "https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "facebook/mbart-large-50-one-to-many-mmt": (
            "https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json"
        ),
    },
}

A_ 			=		{
    "facebook/mbart-large-50-one-to-many-mmt": 1024,
}

# fmt: off
A_ 			=		["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", "af_ZA", "az_AZ", "bn_IN", "fa_IR", "he_IL", "hr_HR", "id_ID", "ka_GE", "km_KH", "mk_MK", "ml_IN", "mn_MN", "mr_IN", "pl_PL", "ps_AF", "pt_XX", "sv_SE", "sw_KE", "ta_IN", "te_IN", "th_TH", "tl_XX", "uk_UA", "ur_PK", "xh_ZA", "gl_ES", "sl_SI"]






class 					lowercase_			(	lowerCAmelCase_       ):
     A_       							= VOCAB_FILES_NAMES
     A_       							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A_       							= PRETRAINED_VOCAB_FILES_MAP
     A_       							= ["input_ids", "attention_mask"]
     A_       							= MBartaaTokenizer

     A_       							= []
     A_       							= []





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

           snake_case__					:      Tuple  			=						kwargs.get('additional_special_tokens'    ,       [] )
           kwargs["additional_special_tokens"] += [
               code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
           ]

           super().__init__(
               __lowerCamelCase    ,       src_lang=__lowerCamelCase    ,       tgt_lang=__lowerCamelCase    ,       tokenizer_file=__lowerCamelCase    ,       eos_token=__lowerCamelCase    ,       sep_token=__lowerCamelCase    ,       cls_token=__lowerCamelCase    ,       unk_token=__lowerCamelCase    ,       pad_token=__lowerCamelCase    ,       mask_token=__lowerCamelCase    ,       **__lowerCamelCase    ,       )

           snake_case__					:      str  			=						vocab_file
           snake_case__					:      List[str]  			=						False if not self.vocab_file else True

           snake_case__					:      Union[str, Any]  			=						{
               lang_code: self.convert_tokens_to_ids(__lowerCamelCase ) for lang_code in FAIRSEQ_LANGUAGE_CODES
           }

           snake_case__					:      Tuple  			=						src_lang if src_lang is not None else 'en_XX'
           snake_case__					:      Dict  			=						tgt_lang
           snake_case__					:      List[Any]  			=						self.lang_code_to_id[self._src_lang]
           self.set_src_lang_special_tokens(self._src_lang )





     @property
     def  _lowerCAmelCase			(    self    :				Union[str, Any] ):
           return self._src_lang





     @src_lang.setter
     def  _lowerCAmelCase			(    self    :				Union[str, Any]    ,       __lowerCamelCase    :				str ):
           snake_case__					:      Any  			=						new_src_lang
           self.set_src_lang_special_tokens(self._src_lang )





     def  _lowerCAmelCase			(    self    :				List[Any]    ,       __lowerCamelCase    :				List[int]    ,       __lowerCamelCase    :				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  _lowerCAmelCase			(    self    :				List[Any]    ,       __lowerCamelCase    :				List[str]    ,       __lowerCamelCase    :				str = "en_XX"    ,       __lowerCamelCase    :				Optional[List[str]] = None    ,       __lowerCamelCase    :				str = "ro_RO"    ,       **__lowerCamelCase    :				Dict    ,       ):
           snake_case__					:      List[Any]  			=						src_lang
           snake_case__					:      int  			=						tgt_lang
           return super().prepare_seqaseq_batch(__lowerCamelCase    ,       __lowerCamelCase    ,       **__lowerCamelCase )





     def  _lowerCAmelCase			(    self    :				Optional[int] ):
           return self.set_src_lang_special_tokens(self.src_lang )





     def  _lowerCAmelCase			(    self    :				str ):
           return self.set_tgt_lang_special_tokens(self.tgt_lang )





     def  _lowerCAmelCase			(    self    :				List[str]    ,       __lowerCamelCase    :				str ):
           snake_case__					:      List[Any]  			=						self.convert_tokens_to_ids(__lowerCamelCase )
           snake_case__					:      str  			=						[self.cur_lang_code_id]
           snake_case__					:      List[Any]  			=						[self.eos_token_id]

           snake_case__					:      Dict  			=						self.convert_ids_to_tokens(self.prefix_tokens )
           snake_case__					:      Optional[int]  			=						self.convert_ids_to_tokens(self.suffix_tokens )

           snake_case__					:      Union[str, Any]  			=						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  _lowerCAmelCase			(    self    :				str    ,       __lowerCamelCase    :				str ):
           snake_case__					:      Optional[int]  			=						self.convert_tokens_to_ids(__lowerCamelCase )
           snake_case__					:      Tuple  			=						[self.cur_lang_code_id]
           snake_case__					:      List[str]  			=						[self.eos_token_id]

           snake_case__					:      Optional[int]  			=						self.convert_ids_to_tokens(self.prefix_tokens )
           snake_case__					:      Optional[Any]  			=						self.convert_ids_to_tokens(self.suffix_tokens )

           snake_case__					:      Optional[Any]  			=						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  _lowerCAmelCase			(    self    :				Tuple    ,       __lowerCamelCase    :				Union[str, Any]    ,       __lowerCamelCase    :				str    ,       __lowerCamelCase    :				Optional[str]    ,       __lowerCamelCase    :				Optional[str]    ,       **__lowerCamelCase    :				List[Any] ):
           if src_lang is None or tgt_lang is None:
                 raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model' )
           snake_case__					:      Optional[Any]  			=						src_lang
           snake_case__					:      List[Any]  			=						self(__lowerCamelCase    ,       add_special_tokens=__lowerCamelCase    ,       return_tensors=__lowerCamelCase    ,       **__lowerCamelCase )
           snake_case__					:      Optional[Any]  			=						self.convert_tokens_to_ids(__lowerCamelCase )
           snake_case__					:      Tuple  			=						tgt_lang_id
           return inputs





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

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

           return (out_vocab_file,)







'''simple docstring'''






def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE = 1000		)						->      int:
      snake_case__					:      List[str]  			=						0
      snake_case__					:      int  			=						(n - 1) // 3
      total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
      snake_case__					:      Optional[Any]  			=						(n - 1) // 5
      total += ((terms) * (10 + (terms - 1) * 5)) // 2
      snake_case__					:      Tuple  			=						(n - 1) // 15
      total -= ((terms) * (30 + (terms - 1) * 15)) // 2
      return total


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