





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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


__A							   =							logging.get_logger(__name__)

__A							   =							"▁"

__A							   =							{"vocab_file": "sentencepiece.bpe.model"}

__A							   =							{
    "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"
        ),
    }
}

__A							   =							{
    "facebook/mbart-large-en-ro": 1024,
    "facebook/mbart-large-cc25": 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"]



class   _SCREAMING_SNAKE_CASE		(      __SCREAMING_SNAKE_CASE       ):







 '''simple docstring'''
 lowercase_						=     VOCAB_FILES_NAMES
 lowercase_						=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_						=     PRETRAINED_VOCAB_FILES_MAP
 lowercase_						=     ["input_ids", "attention_mask"]

 lowercase_						=     []
 lowercase_						=     []

 def __init__(self							:  Union[str, Any]			,					UpperCAmelCase_							:  List[Any]			,					UpperCAmelCase_							:  Optional[int]="<s>"			,					UpperCAmelCase_							:  Tuple="</s>"			,					UpperCAmelCase_							:  Tuple="</s>"			,					UpperCAmelCase_							:  Union[str, Any]="<s>"			,					UpperCAmelCase_							:  List[str]="<unk>"			,					UpperCAmelCase_							:  Union[str, Any]="<pad>"			,					UpperCAmelCase_							:  Union[str, Any]="<mask>"			,					UpperCAmelCase_							:  Any=None			,					UpperCAmelCase_							:  Tuple=None			,					UpperCAmelCase_							:  str=None			,					UpperCAmelCase_							:  Optional[Dict[str, Any]] = None			,					UpperCAmelCase_							:  Dict=None			,					**UpperCAmelCase_							:  Dict			,					)			->Any:



   '''simple docstring'''



   lowerCamelCase__: Optional[Any]         =AddedToken(UpperCAmelCase_			,					lstrip=UpperCAmelCase_			,					rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_			,					UpperCAmelCase_) else mask_token

   lowerCamelCase__: str         ={} if sp_model_kwargs is None else sp_model_kwargs

   super().__init__(
       bos_token=UpperCAmelCase_			,					eos_token=UpperCAmelCase_			,					unk_token=UpperCAmelCase_			,					sep_token=UpperCAmelCase_			,					cls_token=UpperCAmelCase_			,					pad_token=UpperCAmelCase_			,					mask_token=UpperCAmelCase_			,					tokenizer_file=UpperCAmelCase_			,					src_lang=UpperCAmelCase_			,					tgt_lang=UpperCAmelCase_			,					additional_special_tokens=UpperCAmelCase_			,					sp_model_kwargs=self.sp_model_kwargs			,					**UpperCAmelCase_			,					)

   lowerCamelCase__: Union[str, Any]         =spm.SentencePieceProcessor(**self.sp_model_kwargs)
   self.sp_model.Load(str(UpperCAmelCase_))
   lowerCamelCase__: int         =vocab_file

   # Original fairseq vocab and spm vocab must be "aligned":
   # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
   # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
   # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
   # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

   # Mimic fairseq token-to-id alignment for the first 4 token
   lowerCamelCase__: List[str]         ={"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

   # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
   lowerCamelCase__: Optional[int]         =1

   lowerCamelCase__: Optional[Any]         =len(self.sp_model)
   lowerCamelCase__: int         ={
       code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(UpperCAmelCase_)
   }
   lowerCamelCase__: int         ={v: k for k, v in self.lang_code_to_id.items()}
   lowerCamelCase__: str         =len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset

   self.fairseq_tokens_to_ids.update(self.lang_code_to_id)
   lowerCamelCase__: Optional[int]         ={v: k for k, v in self.fairseq_tokens_to_ids.items()}
   lowerCamelCase__: Optional[Any]         =list(self.lang_code_to_id.keys())

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

   lowerCamelCase__: Optional[int]         =src_lang if src_lang is not None else "en_XX"
   lowerCamelCase__: int         =self.lang_code_to_id[self._src_lang]
   lowerCamelCase__: Dict         =tgt_lang
   self.set_src_lang_special_tokens(self._src_lang)

 def __getstate__(self							:  str)			->Any:



   '''simple docstring'''



   lowerCamelCase__: str         =self.__dict__.copy()
   lowerCamelCase__: Optional[Any]         =None
   lowerCamelCase__: List[Any]         =self.sp_model.serialized_model_proto()
   return state

 def __setstate__(self							:  List[Any]			,					UpperCAmelCase_							:  Union[str, Any])			->Any:



   '''simple docstring'''



   lowerCamelCase__: Tuple         =d

   # for backward compatibility
   if not hasattr(self			,					"sp_model_kwargs"):
     lowerCamelCase__: Dict         ={}

   lowerCamelCase__: List[str]         =spm.SentencePieceProcessor(**self.sp_model_kwargs)
   self.sp_model.LoadFromSerializedProto(self.sp_model_proto)

 @property
 def 				SCREAMING_SNAKE_CASE_   (self							:  str)			->Dict:



   '''simple docstring'''



   return len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset + 1  # Plus 1 for the mask token

 @property
 def 				SCREAMING_SNAKE_CASE_   (self							:  List[Any])			->str:



   '''simple docstring'''



   return self._src_lang

 @src_lang.setter
 def 				SCREAMING_SNAKE_CASE_   (self							:  int			,					UpperCAmelCase_							:  str)			->None:



   '''simple docstring'''



   lowerCamelCase__: List[str]         =new_src_lang
   self.set_src_lang_special_tokens(self._src_lang)

 def 				SCREAMING_SNAKE_CASE_   (self							:  Tuple			,					UpperCAmelCase_							:  List[int]			,					UpperCAmelCase_							:  Optional[List[int]] = None			,					UpperCAmelCase_							:  bool = False)			->List[int]:



   '''simple docstring'''



   if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=UpperCAmelCase_			,					token_ids_a=UpperCAmelCase_			,					already_has_special_tokens=UpperCAmelCase_)

   lowerCamelCase__: Any         =[1] * len(self.prefix_tokens)
   lowerCamelCase__: Tuple         =[1] * len(self.suffix_tokens)
   if token_ids_a is None:
     return prefix_ones + ([0] * len(UpperCAmelCase_)) + suffix_ones
   return prefix_ones + ([0] * len(UpperCAmelCase_)) + ([0] * len(UpperCAmelCase_)) + suffix_ones

 def 				SCREAMING_SNAKE_CASE_   (self							:  Any			,					UpperCAmelCase_							:  List[int]			,					UpperCAmelCase_							:  Optional[List[int]] = None)			->List[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 				SCREAMING_SNAKE_CASE_   (self							:  Optional[Any]			,					UpperCAmelCase_							:  List[int]			,					UpperCAmelCase_							:  Optional[List[int]] = None)			->List[int]:



   '''simple docstring'''



   lowerCamelCase__: int         =[self.sep_token_id]
   lowerCamelCase__: int         =[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 				SCREAMING_SNAKE_CASE_   (self							:  Optional[int]			,					UpperCAmelCase_							:  Dict			,					UpperCAmelCase_							:  str			,					UpperCAmelCase_							:  Optional[str]			,					UpperCAmelCase_							:  Optional[str]			,					**UpperCAmelCase_							:  Any)			->Tuple:



   '''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")
   lowerCamelCase__: Any         =src_lang
   lowerCamelCase__: str         =self(UpperCAmelCase_			,					add_special_tokens=UpperCAmelCase_			,					return_tensors=UpperCAmelCase_			,					**UpperCAmelCase_)
   lowerCamelCase__: Optional[Any]         =self.convert_tokens_to_ids(UpperCAmelCase_)
   lowerCamelCase__: List[Any]         =tgt_lang_id
   return inputs

 def 				SCREAMING_SNAKE_CASE_   (self							:  Dict)			->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__: str         ={self.convert_ids_to_tokens(UpperCAmelCase_): i for i in range(self.vocab_size)}
   vocab.update(self.added_tokens_encoder)
   return vocab

 def 				SCREAMING_SNAKE_CASE_   (self							:  List[Any]			,					UpperCAmelCase_							:  str)			->List[str]:



   '''simple docstring'''



   return self.sp_model.encode(UpperCAmelCase_			,					out_type=UpperCAmelCase_)

 def 				SCREAMING_SNAKE_CASE_   (self							:  Dict			,					UpperCAmelCase_							:  List[str])			->Dict:



   '''simple docstring'''



   if token in self.fairseq_tokens_to_ids:
     return self.fairseq_tokens_to_ids[token]
   lowerCamelCase__: Any         =self.sp_model.PieceToId(UpperCAmelCase_)

   # Need to return unknown token if the SP model returned 0
   return spm_id + self.fairseq_offset if spm_id else self.unk_token_id

 def 				SCREAMING_SNAKE_CASE_   (self							:  Dict			,					UpperCAmelCase_							:  Dict)			->Optional[Any]:



   '''simple docstring'''



   if index in self.fairseq_ids_to_tokens:
     return self.fairseq_ids_to_tokens[index]
   return self.sp_model.IdToPiece(index - self.fairseq_offset)

 def 				SCREAMING_SNAKE_CASE_   (self							:  Tuple			,					UpperCAmelCase_							:  Union[str, Any])			->Dict:



   '''simple docstring'''



   lowerCamelCase__: Union[str, Any]         ="".join(UpperCAmelCase_).replace(UpperCAmelCase_			,					" ").strip()
   return out_string

 def 				SCREAMING_SNAKE_CASE_   (self							:  int			,					UpperCAmelCase_							:  str			,					UpperCAmelCase_							:  Optional[str] = None)			->Tuple[str]:



   '''simple docstring'''



   if not os.path.isdir(UpperCAmelCase_):
     logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
     return
   lowerCamelCase__: str         =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_) and os.path.isfile(self.vocab_file):
     copyfile(self.vocab_file			,					UpperCAmelCase_)
   elif not os.path.isfile(self.vocab_file):
     with open(UpperCAmelCase_			,					"wb") as fi:
       lowerCamelCase__: Optional[Any]         =self.sp_model.serialized_model_proto()
       fi.write(UpperCAmelCase_)

   return (out_vocab_file,)

 def 				SCREAMING_SNAKE_CASE_   (self							:  str			,					UpperCAmelCase_							:  List[str]			,					UpperCAmelCase_							:  str = "en_XX"			,					UpperCAmelCase_							:  Optional[List[str]] = None			,					UpperCAmelCase_							:  str = "ro_RO"			,					**UpperCAmelCase_							:  List[str]			,					)			->BatchEncoding:



   '''simple docstring'''



   lowerCamelCase__: Optional[int]         =src_lang
   lowerCamelCase__: Optional[Any]         =tgt_lang
   return super().prepare_seqaseq_batch(UpperCAmelCase_			,					UpperCAmelCase_			,					**UpperCAmelCase_)

 def 				SCREAMING_SNAKE_CASE_   (self							:  str)			->Optional[Any]:



   '''simple docstring'''



   return self.set_src_lang_special_tokens(self.src_lang)

 def 				SCREAMING_SNAKE_CASE_   (self							:  str)			->Union[str, Any]:



   '''simple docstring'''



   return self.set_tgt_lang_special_tokens(self.tgt_lang)

 def 				SCREAMING_SNAKE_CASE_   (self							:  Optional[int]			,					UpperCAmelCase_							:  str)			->None:



   '''simple docstring'''



   lowerCamelCase__: Any         =self.lang_code_to_id[src_lang]
   lowerCamelCase__: Tuple         =[]
   lowerCamelCase__: Union[str, Any]         =[self.eos_token_id, self.cur_lang_code]







 def 				SCREAMING_SNAKE_CASE_   (self							:  List[str]			,					UpperCAmelCase_							:  str)			->None:



   '''simple docstring'''



   lowerCamelCase__: str         =self.lang_code_to_id[lang]
   lowerCamelCase__: int         =[]
   lowerCamelCase__: int         =[self.eos_token_id, self.cur_lang_code]






'''simple docstring'''
def A__       (	UpperCAmelCase_ = 1_0_0_0				):
						_UpperCamelCase   :						List[str]												=  3
						_UpperCamelCase   :						Any												=  0
						while a < n:
												if a % 3 == 0 or a % 5 == 0:
																		result += a
												elif a % 1_5 == 0:
																		result -= a
												a += 1
						return result


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


