

'''simple docstring'''






import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__											=	logging.get_logger(__name__)

lowerCAmelCase__											=	{
    '''microsoft/git-base''': '''https://huggingface.co/microsoft/git-base/resolve/main/config.json''',
}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Tuple							=			'git_vision_model'






  def __init__(      self   :     Union[str, Any]					,lowercase__   :     List[Any]=7_6_8					,lowercase__   :     Dict=3_0_7_2					,lowercase__   :     Optional[Any]=1_2					,lowercase__   :     int=1_2					,lowercase__   :     Tuple=3					,lowercase__   :     int=2_2_4					,lowercase__   :     Tuple=1_6					,lowercase__   :     Union[str, Any]="quick_gelu"					,lowercase__   :     Union[str, Any]=1e-5					,lowercase__   :     Dict=0.0					,lowercase__   :     Any=0.0_2					,**lowercase__   :     Optional[Any]					,):
   super().__init__(**lowercase__			)

   __lowercase							  = hidden_size
   __lowercase							  = intermediate_size
   __lowercase							  = num_hidden_layers
   __lowercase							  = num_attention_heads
   __lowercase							  = num_channels
   __lowercase							  = patch_size
   __lowercase							  = image_size
   __lowercase							  = initializer_range
   __lowercase							  = attention_dropout
   __lowercase							  = layer_norm_eps
   __lowercase							  = hidden_act






  @classmethod
  def 					SCREAMING_SNAKE_CASE      (      cls   :     Optional[Any]					,lowercase__   :     Union[str, os.PathLike]					,**lowercase__   :     Union[str, Any]			):
   cls._set_token_in_kwargs(lowercase__			)

   __lowercase  ,	__lowercase							  = cls.get_config_dict(lowercase__					,**lowercase__			)

   # get the vision config dict if we are loading from GITConfig
   if config_dict.get('''model_type'''			) == "git":
    __lowercase							  = config_dict['''vision_config''']

   if "model_type" in config_dict and hasattr(cls					,'''model_type'''			) and config_dict["model_type"] != cls.model_type:
    logger.warning(
        F"You are using a model of type {config_dict['model_type']} to instantiate a model of type "
        F"{cls.model_type}. This is not supported for all configurations of models and can yield errors."			)

   return cls.from_dict(lowercase__					,**lowercase__			)






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Union[str, Any]							=			'git'






  def __init__(      self   :     Dict					,lowercase__   :     Dict=None					,lowercase__   :     Optional[Any]=3_0_5_2_2					,lowercase__   :     Optional[Any]=7_6_8					,lowercase__   :     Optional[Any]=6					,lowercase__   :     List[str]=1_2					,lowercase__   :     Any=3_0_7_2					,lowercase__   :     int="gelu"					,lowercase__   :     str=0.1					,lowercase__   :     Optional[int]=0.1					,lowercase__   :     str=1_0_2_4					,lowercase__   :     Optional[int]=0.0_2					,lowercase__   :     Union[str, Any]=1e-1_2					,lowercase__   :     List[str]=0					,lowercase__   :     Optional[Any]="absolute"					,lowercase__   :     Union[str, Any]=True					,lowercase__   :     Any=False					,lowercase__   :     Any=1_0_1					,lowercase__   :     Optional[int]=1_0_2					,lowercase__   :     Optional[int]=None					,**lowercase__   :     Dict					,):
   super().__init__(bos_token_id=lowercase__					,eos_token_id=lowercase__					,pad_token_id=lowercase__					,**lowercase__			)

   if vision_config is None:
    __lowercase							  = {}
    logger.info('''vision_config is None. initializing the GitVisionConfig with default values.'''			)

   __lowercase							  = GitVisionConfig(**lowercase__			)
   __lowercase							  = vocab_size
   __lowercase							  = hidden_size
   __lowercase							  = num_hidden_layers
   __lowercase							  = num_attention_heads
   __lowercase							  = hidden_act
   __lowercase							  = intermediate_size
   __lowercase							  = hidden_dropout_prob
   __lowercase							  = attention_probs_dropout_prob
   __lowercase							  = max_position_embeddings
   __lowercase							  = initializer_range
   __lowercase							  = layer_norm_eps
   __lowercase							  = position_embedding_type
   __lowercase							  = use_cache
   __lowercase							  = tie_word_embeddings
   __lowercase							  = num_image_with_embedding

   __lowercase							  = bos_token_id
   __lowercase							  = eos_token_id






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]			):
   __lowercase							  = copy.deepcopy(self.__dict__			)
   __lowercase							  = self.vision_config.to_dict()
   __lowercase							  = self.__class__.model_type
   return output




'''simple docstring'''






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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__											=	logging.get_logger(__name__)

lowerCAmelCase__											=	{'''vocab_file''': '''spiece.model'''}

lowerCAmelCase__											=	{
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

lowerCAmelCase__											=	{'''bert_for_seq_generation''': 512}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  List[Any]							=			VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE    :  Dict							=			PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE    :  Optional[int]							=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE    :  List[int]							=			[]
  SCREAMING_SNAKE_CASE    :  Any							=			['input_ids', 'attention_mask']






  def __init__(      self   :     Optional[Any]					,lowercase__   :     Tuple					,lowercase__   :     Tuple="<s>"					,lowercase__   :     Union[str, Any]="</s>"					,lowercase__   :     str="<unk>"					,lowercase__   :     Tuple="<pad>"					,lowercase__   :     Union[str, Any]="<::::>"					,lowercase__   :     Optional[Dict[str, Any]] = None					,**lowercase__   :     Any					,):
   __lowercase							  = {} if sp_model_kwargs is None else sp_model_kwargs

   # Add extra_ids to the special token list
   super().__init__(
       bos_token=lowercase__					,eos_token=lowercase__					,unk_token=lowercase__					,pad_token=lowercase__					,sep_token=lowercase__					,sp_model_kwargs=self.sp_model_kwargs					,**lowercase__					,)

   __lowercase							  = vocab_file

   __lowercase							  = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
   self.sp_model.Load(lowercase__			)






  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]			):
   return self.sp_model.get_piece_size()






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]			):
   __lowercase							  = {self.convert_ids_to_tokens(lowercase__			): i for i in range(self.vocab_size			)}
   vocab.update(self.added_tokens_encoder			)
   return vocab






  def __getstate__(      self   :     str			):
   __lowercase							  = self.__dict__.copy()
   __lowercase							  = None
   return state






  def __setstate__(      self   :     Optional[int]					,lowercase__   :     Optional[Any]			):
   __lowercase							  = d

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

   __lowercase							  = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
   self.sp_model.Load(self.vocab_file			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     str					,lowercase__   :     str			):
   return self.sp_model.encode(lowercase__					,out_type=lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple					,lowercase__   :     Union[str, Any]			):
   return self.sp_model.piece_to_id(lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     Tuple			):
   __lowercase							  = self.sp_model.IdToPiece(lowercase__			)
   return token






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]					,lowercase__   :     int			):
   __lowercase							  = []
   __lowercase							  = ''''''
   for token in tokens:
    # make sure that special tokens are not decoded using sentencepiece model
    if token in self.all_special_tokens:
     out_string += self.sp_model.decode(lowercase__			) + token
     __lowercase							  = []
    else:
     current_sub_tokens.append(lowercase__			)
   out_string += self.sp_model.decode(lowercase__			)
   return out_string.strip()






  def 					SCREAMING_SNAKE_CASE      (      self   :     int					,lowercase__   :     str					,lowercase__   :     Optional[str] = None			):
   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,)

