





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


_snake_case           =			logging.get_logger(__name__)

_snake_case           =			"""▁"""

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

_snake_case           =			{
    """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"""
        ),
    }
}

_snake_case           =			{
    """facebook/mbart-large-en-ro""": 1024,
    """facebook/mbart-large-cc25""": 1024,
}

# fmt: off
_snake_case           =			["""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  lowerCAmelCase							(       lowercase_ ):
  __lowerCamelCase		=      VOCAB_FILES_NAMES
  __lowerCamelCase		=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCamelCase		=      PRETRAINED_VOCAB_FILES_MAP
  __lowerCamelCase		=      ['input_ids', 'attention_mask']

  __lowerCamelCase		=      []
  __lowerCamelCase		=      []







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






     '''simple docstring'''





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

     lowercase__			       =  {} 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   ,							)

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

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

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

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







  def __getstate__(      self  :Union[str, Any] ):






     '''simple docstring'''





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







  def __setstate__(      self  :List[Any]   ,							_lowercase  :Union[str, Any] ):






     '''simple docstring'''





     lowercase__			       =  d

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

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







  @property
  def   UpperCAmelCase					(      self  :Tuple ):






     '''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  :Dict ):






     '''simple docstring'''





     return self._src_lang







  @src_lang.setter
  def   UpperCAmelCase					(      self  :Dict   ,							_lowercase  :str ):






     '''simple docstring'''





     lowercase__			       =  new_src_lang
     self.set_src_lang_special_tokens(self._src_lang )







  def   UpperCAmelCase					(      self  :Optional[int]   ,							_lowercase  :List[int]   ,							_lowercase  :Optional[List[int]] = None   ,							_lowercase  :bool = 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 )

     lowercase__			       =  [1] * len(self.prefix_tokens )
     lowercase__			       =  [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  :Tuple   ,							_lowercase  :List[int]   ,							_lowercase  :Optional[List[int]] = 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  :List[str]   ,							_lowercase  :List[int]   ,							_lowercase  :Optional[List[int]] = None ):






     '''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   UpperCAmelCase					(      self  :List[Any]   ,							_lowercase  :Optional[Any]   ,							_lowercase  :str   ,							_lowercase  :Optional[str]   ,							_lowercase  :Optional[str]   ,							**_lowercase  :Optional[int] ):






     '''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(_lowercase   ,							add_special_tokens=_lowercase   ,							return_tensors=_lowercase   ,							**_lowercase )
     lowercase__			       =  self.convert_tokens_to_ids(_lowercase )
     lowercase__			       =  tgt_lang_id
     return inputs







  def   UpperCAmelCase					(      self  :List[str] ):






     '''simple docstring'''





     lowercase__			       =  {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  :str ):






     '''simple docstring'''





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







  def   UpperCAmelCase					(      self  :List[Any]   ,							_lowercase  :int ):






     '''simple docstring'''





     if token in self.fairseq_tokens_to_ids:
        return self.fairseq_tokens_to_ids[token]
     lowercase__			       =  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  :List[str] ):






     '''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  :Union[str, Any]   ,							_lowercase  :Tuple ):






     '''simple docstring'''





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







  def   UpperCAmelCase					(      self  :List[str]   ,							_lowercase  :str   ,							_lowercase  :Optional[str] = None ):






     '''simple docstring'''





     if not os.path.isdir(_lowercase ):
        logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
        return
     lowercase__			       =  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:
           lowercase__			       =  self.sp_model.serialized_model_proto()
           fi.write(_lowercase )

     return (out_vocab_file,)







  def   UpperCAmelCase					(      self  :Tuple   ,							_lowercase  :List[str]   ,							_lowercase  :str = "en_XX"   ,							_lowercase  :Optional[List[str]] = None   ,							_lowercase  :str = "ro_RO"   ,							**_lowercase  :Tuple   ,							):






     '''simple docstring'''





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







  def   UpperCAmelCase					(      self  :int ):






     '''simple docstring'''





     return self.set_src_lang_special_tokens(self.src_lang )







  def   UpperCAmelCase					(      self  :str ):






     '''simple docstring'''





     return self.set_tgt_lang_special_tokens(self.tgt_lang )







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






     '''simple docstring'''





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







  def   UpperCAmelCase					(      self  :List[str]   ,							_lowercase  :str ):






     '''simple docstring'''





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













from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def _A       (   ):
   lowercase__			       =  HfArgumentParser(__magic_name__	)
   lowercase__			       =  parser.parse_args_into_dataclasses()[0]
   lowercase__			       =  TensorFlowBenchmark(args=__magic_name__	)
   try:
      lowercase__			       =  parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      lowercase__			       =  "Arg --no_{0} is no longer used, please use --no-{0} instead."
      lowercase__			       =  " ".join(str(__magic_name__	).split(" "	)[:-1]	)
      lowercase__			       =  ""
      lowercase__			       =  eval(str(__magic_name__	).split(" "	)[-1]	)
      lowercase__			       =  []
      for arg in depreciated_args:
         # arg[2:] removes '--'
         if arg[2:] in TensorFlowBenchmark.deprecated_args:
            # arg[5:] removes '--no_'
            full_error_msg += arg_error_msg.format(arg[5:]	)
         else:
            wrong_args.append(__magic_name__	)
      if len(__magic_name__	) > 0:
         lowercase__			       =  full_error_msg + begin_error_msg + str(__magic_name__	)
      raise ValueError(__magic_name__	)
   benchmark.run()


if __name__ == "__main__":
  main()






