


'''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:
 UpperCAmelCase_ :     Any								=      None


UpperCAmelCase_ :     Tuple								=      logging.get_logger(__name__)


UpperCAmelCase_ :     Any								=      {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase_ :     Dict								=      {
    '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',
    },
}

UpperCAmelCase_ :     Optional[int]								=      {
    'facebook/mbart-large-en-ro': 1_0_2_4,
    'facebook/mbart-large-cc25': 1_0_2_4,
}

# fmt: off
UpperCAmelCase_ :     Tuple								=      ['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					(    __lowerCamelCase				):




 '''simple docstring'''
 __lowercase				:		str    							=						VOCAB_FILES_NAMES
 __lowercase				:		str    							=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase				:		Dict    							=						PRETRAINED_VOCAB_FILES_MAP
 __lowercase				:		List[Any]    							=						['''input_ids''', '''attention_mask''']
 __lowercase				:		Optional[Any]    							=						MBartTokenizer

 __lowercase				:		Optional[Any]    							=						[]
 __lowercase				:		Optional[int]    							=						[]


 def __init__(      self      ,      __lowercase=None      ,      __lowercase=None      ,      __lowercase="<s>"      ,      __lowercase="</s>"      ,      __lowercase="</s>"      ,      __lowercase="<s>"      ,      __lowercase="<unk>"      ,      __lowercase="<pad>"      ,      __lowercase="<mask>"      ,      __lowercase=None      ,      __lowercase=None      ,      __lowercase=None      ,      **__lowercase      ,      ):

  """simple docstring"""







  __A  :		Union[str, Any]       =			AddedToken(UpperCAmelCase_      ,      lstrip=UpperCAmelCase_      ,      rstrip=UpperCAmelCase_						) if isinstance(UpperCAmelCase_      ,      UpperCAmelCase_						) else mask_token

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

  __A  :		Union[str, Any]       =			vocab_file
  __A  :		Dict       =			False if not self.vocab_file else True

  __A  :		Optional[Any]       =			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}						)
  __A  :		Optional[Any]       =			{
      lang_code: self.convert_tokens_to_ids(UpperCAmelCase_						) for lang_code in FAIRSEQ_LANGUAGE_CODES
  }

  __A  :		Tuple       =			src_lang if src_lang is not None else 'en_XX'
  __A  :		Dict       =			self.convert_tokens_to_ids(self._src_lang						)
  __A  :		str       =			tgt_lang
  self.set_src_lang_special_tokens(self._src_lang						)


 @property
 def  snake_case__   (      self						):

  """simple docstring"""







  return self._src_lang


 @src_lang.setter
 def  snake_case__   (      self      ,      __lowercase						):

  """simple docstring"""







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


 def  snake_case__   (      self      ,      __lowercase      ,      __lowercase = 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  snake_case__   (      self      ,      __lowercase      ,      __lowercase = None						):

  """simple docstring"""







  __A  :		Any       =			[self.sep_token_id]
  __A  :		List[str]       =			[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  snake_case__   (      self      ,      __lowercase      ,      __lowercase      ,      __lowercase      ,      __lowercase      ,      **__lowercase						):

  """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'						)
  __A  :		int       =			src_lang
  __A  :		Tuple       =			self(UpperCAmelCase_      ,      add_special_tokens=UpperCAmelCase_      ,      return_tensors=UpperCAmelCase_      ,      **UpperCAmelCase_						)
  __A  :		Dict       =			self.convert_tokens_to_ids(UpperCAmelCase_						)
  __A  :		Optional[Any]       =			tgt_lang_id
  return inputs


 def  snake_case__   (      self      ,      __lowercase      ,      __lowercase = "en_XX"      ,      __lowercase = None      ,      __lowercase = "ro_RO"      ,      **__lowercase      ,      ):

  """simple docstring"""







  __A  :		List[Any]       =			src_lang
  __A  :		Tuple       =			tgt_lang
  return super().prepare_seqaseq_batch(UpperCAmelCase_      ,      UpperCAmelCase_      ,      **UpperCAmelCase_						)


 def  snake_case__   (      self						):

  """simple docstring"""







  return self.set_src_lang_special_tokens(self.src_lang						)


 def  snake_case__   (      self						):

  """simple docstring"""







  return self.set_tgt_lang_special_tokens(self.tgt_lang						)


 def  snake_case__   (      self      ,      __lowercase						):

  """simple docstring"""







  __A  :		Any       =			self.convert_tokens_to_ids(UpperCAmelCase_						)
  __A  :		Optional[int]       =			[]
  __A  :		str       =			[self.eos_token_id, self.cur_lang_code]

  __A  :		Union[str, Any]       =			self.convert_ids_to_tokens(self.prefix_tokens						)
  __A  :		List[Any]       =			self.convert_ids_to_tokens(self.suffix_tokens						)

  __A  :		List[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  snake_case__   (      self      ,      __lowercase						):

  """simple docstring"""







  __A  :		Tuple       =			self.convert_tokens_to_ids(UpperCAmelCase_						)
  __A  :		Optional[Any]       =			[]
  __A  :		Optional[Any]       =			[self.eos_token_id, self.cur_lang_code]

  __A  :		List[str]       =			self.convert_ids_to_tokens(self.prefix_tokens						)
  __A  :		Tuple       =			self.convert_ids_to_tokens(self.suffix_tokens						)

  __A  :		List[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  snake_case__   (      self      ,      __lowercase      ,      __lowercase = None						):

  """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(UpperCAmelCase_						):
   logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""						)
   return
  __A  :		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_						):
   copyfile(self.vocab_file      ,      UpperCAmelCase_						)

  return (out_vocab_file,)










'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_ :     Dict								=      logging.get_logger(__name__)

UpperCAmelCase_ :     Optional[int]								=      {
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}

class 						_lowerCamelCase					(    snake_case_				):




 '''simple docstring'''
 __lowercase				:		Tuple    							=						'''vit_msn'''


 def __init__(      self      ,      __lowercase=768      ,      __lowercase=12      ,      __lowercase=12      ,      __lowercase=3_072      ,      __lowercase="gelu"      ,      __lowercase=0.0      ,      __lowercase=0.0      ,      __lowercase=0.0_2      ,      __lowercase=1E-06      ,      __lowercase=224      ,      __lowercase=16      ,      __lowercase=3      ,      __lowercase=True      ,      **__lowercase      ,      ):

  """simple docstring"""







  super().__init__(**__lowercase						)

  __A  :		Tuple       =			hidden_size
  __A  :		Optional[int]       =			num_hidden_layers
  __A  :		str       =			num_attention_heads
  __A  :		Dict       =			intermediate_size
  __A  :		Optional[Any]       =			hidden_act
  __A  :		Union[str, Any]       =			hidden_dropout_prob
  __A  :		Optional[Any]       =			attention_probs_dropout_prob
  __A  :		List[str]       =			initializer_range
  __A  :		Dict       =			layer_norm_eps
  __A  :		List[Any]       =			image_size
  __A  :		Optional[int]       =			patch_size
  __A  :		List[Any]       =			num_channels
  __A  :		Optional[Any]       =			qkv_bias






