


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      lowercase__	(       __SCREAMING_SNAKE_CASE		):
  A__=	VOCAB_FILES_NAMES
  A__=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__=	PRETRAINED_VOCAB_FILES_MAP
  A__=	['''input_ids''', '''attention_mask''']

  A__=	[]
  A__=	[]






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




         """simple docstring"""







         UpperCAmelCase__					    =  AddedToken(_lowercase		,    lstrip=_lowercase		,    rstrip=_lowercase			) if isinstance(_lowercase		,    _lowercase			) else mask_token

         UpperCAmelCase__					    =  {} if sp_model_kwargs is None else sp_model_kwargs

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

         UpperCAmelCase__					    =  spm.SentencePieceProcessor(**self.sp_model_kwargs			)
         self.sp_model.Load(str(_lowercase			)			)
         UpperCAmelCase__					    =  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
         UpperCAmelCase__					    =  {'<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
         UpperCAmelCase__					    =  1

         UpperCAmelCase__					    =  len(self.sp_model			)
         UpperCAmelCase__					    =  {
             code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(_lowercase			)
         }
         UpperCAmelCase__					    =  {v: k for k, v in self.lang_code_to_id.items()}
         UpperCAmelCase__					    =  len(self.sp_model			) + len(self.lang_code_to_id			) + self.fairseq_offset

         self.fairseq_tokens_to_ids.update(self.lang_code_to_id			)
         UpperCAmelCase__					    =  {v: k for k, v in self.fairseq_tokens_to_ids.items()}
         UpperCAmelCase__					    =  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]			)

         UpperCAmelCase__					    =  src_lang if src_lang is not None else 'en_XX'
         UpperCAmelCase__					    =  self.lang_code_to_id[self._src_lang]
         UpperCAmelCase__					    =  tgt_lang
         self.set_src_lang_special_tokens(self._src_lang			)






  def __getstate__(       self   :       str			):




         """simple docstring"""







         UpperCAmelCase__					    =  self.__dict__.copy()
         UpperCAmelCase__					    =  None
         UpperCAmelCase__					    =  self.sp_model.serialized_model_proto()
         return state






  def __setstate__(       self   :       Any		,    _lowercase   :       Any			):




         """simple docstring"""







         UpperCAmelCase__					    =  d

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

         UpperCAmelCase__					    =  spm.SentencePieceProcessor(**self.sp_model_kwargs			)
         self.sp_model.LoadFromSerializedProto(self.sp_model_proto			)






  @property
  def       _UpperCAmelCase	(       self   :       Optional[int]			):




         """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       _UpperCAmelCase	(       self   :       int			):




         """simple docstring"""







         return self._src_lang






  @src_lang.setter
  def       _UpperCAmelCase	(       self   :       Union[str, Any]		,    _lowercase   :       int			):




         """simple docstring"""







         UpperCAmelCase__					    =  new_src_lang
         self.set_src_lang_special_tokens(self._src_lang			)






  def       _UpperCAmelCase	(       self   :       List[str]		,    _lowercase   :       Any		,    _lowercase   :       Optional[Any] = None		,    _lowercase   :       Dict = False			):




         """simple docstring"""







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

         UpperCAmelCase__					    =  [1] * len(self.prefix_tokens			)
         UpperCAmelCase__					    =  [1] * len(self.suffix_tokens			)
         if token_ids_a is None:
                return prefix_ones + ([0] * len(_lowercase			)) + suffix_ones
         return prefix_ones + ([0] * len(_lowercase			)) + ([0] * len(_lowercase			)) + suffix_ones






  def       _UpperCAmelCase	(       self   :       str		,    _lowercase   :       Optional[int]		,    _lowercase   :       Optional[Any] = None			):




         """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       _UpperCAmelCase	(       self   :       Tuple		,    _lowercase   :       Dict		,    _lowercase   :       Union[str, Any] = None			):




         """simple docstring"""







         UpperCAmelCase__					    =  [self.sep_token_id]
         UpperCAmelCase__					    =  [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       _UpperCAmelCase	(       self   :       Union[str, Any]		,    _lowercase   :       Union[str, Any]		,    _lowercase   :       Optional[Any]		,    _lowercase   :       Optional[Any]		,    _lowercase   :       Tuple		,    **_lowercase   :       List[str]			):




         """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"			)
         UpperCAmelCase__					    =  src_lang
         UpperCAmelCase__					    =  self(_lowercase		,    add_special_tokens=_lowercase		,    return_tensors=_lowercase		,    **_lowercase			)
         UpperCAmelCase__					    =  self.convert_tokens_to_ids(_lowercase			)
         UpperCAmelCase__					    =  tgt_lang_id
         return inputs






  def       _UpperCAmelCase	(       self   :       Optional[int]			):




         """simple docstring"""







         UpperCAmelCase__					    =  {self.convert_ids_to_tokens(_lowercase			): i for i in range(self.vocab_size			)}
         vocab.update(self.added_tokens_encoder			)
         return vocab






  def       _UpperCAmelCase	(       self   :       Optional[Any]		,    _lowercase   :       List[Any]			):




         """simple docstring"""







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






  def       _UpperCAmelCase	(       self   :       Optional[Any]		,    _lowercase   :       Union[str, Any]			):




         """simple docstring"""







         if token in self.fairseq_tokens_to_ids:
                return self.fairseq_tokens_to_ids[token]
         UpperCAmelCase__					    =  self.sp_model.PieceToId(_lowercase			)

         # 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       _UpperCAmelCase	(       self   :       List[str]		,    _lowercase   :       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       _UpperCAmelCase	(       self   :       Optional[int]		,    _lowercase   :       Optional[int]			):




         """simple docstring"""







         UpperCAmelCase__					    =  ''.join(_lowercase			).replace(_lowercase		,    " "			).strip()
         return out_string






  def       _UpperCAmelCase	(       self   :       Tuple		,    _lowercase   :       List[str]		,    _lowercase   :       Dict = None			):




         """simple docstring"""







         if not os.path.isdir(_lowercase			):
                logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""			)
                return
         UpperCAmelCase__					    =  os.path.join(
             _lowercase		,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)

         if os.path.abspath(self.vocab_file			) != os.path.abspath(_lowercase			) and os.path.isfile(self.vocab_file			):
                copyfile(self.vocab_file		,    _lowercase			)
         elif not os.path.isfile(self.vocab_file			):
                with open(_lowercase		,    "wb"			) as fi:
                       UpperCAmelCase__					    =  self.sp_model.serialized_model_proto()
                       fi.write(_lowercase			)

         return (out_vocab_file,)






  def       _UpperCAmelCase	(       self   :       Optional[int]		,    _lowercase   :       Union[str, Any]		,    _lowercase   :       List[Any] = "en_XX"		,    _lowercase   :       Any = None		,    _lowercase   :       str = "ro_RO"		,    **_lowercase   :       str		,    ):




         """simple docstring"""







         UpperCAmelCase__					    =  src_lang
         UpperCAmelCase__					    =  tgt_lang
         return super().prepare_seqaseq_batch(_lowercase		,    _lowercase		,    **_lowercase			)






  def       _UpperCAmelCase	(       self   :       str			):




         """simple docstring"""







         return self.set_src_lang_special_tokens(self.src_lang			)






  def       _UpperCAmelCase	(       self   :       Dict			):




         """simple docstring"""







         return self.set_tgt_lang_special_tokens(self.tgt_lang			)






  def       _UpperCAmelCase	(       self   :       Union[str, Any]		,    _lowercase   :       int			):




         """simple docstring"""







         UpperCAmelCase__					    =  self.lang_code_to_id[src_lang]
         UpperCAmelCase__					    =  []
         UpperCAmelCase__					    =  [self.eos_token_id, self.cur_lang_code]






  def       _UpperCAmelCase	(       self   :       Any		,    _lowercase   :       Any			):




         """simple docstring"""







         UpperCAmelCase__					    =  self.lang_code_to_id[lang]
         UpperCAmelCase__					    =  []
         UpperCAmelCase__					    =  [self.eos_token_id, self.cur_lang_code]











'''simple docstring'''



def   lowercase__(			__UpperCamelCase:					int = 1_00_00_00    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Tuple    					=						[i - 1 for i in range(limit + 1    )]

      for i in range(2      ,limit + 1    ):
            if phi[i] == i - 1:
                  for j in range(2 * i      ,limit + 1      ,__UpperCamelCase    ):
                        phi[j] -= phi[j] // i

      return sum(phi[2 : limit + 1]    )


if __name__ == "__main__":
      print(solution())


