





"""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   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:List[Any]						  =       "git_vision_model"

  def __init__(		self :							Any       , __a :							Union[str, Any]=768       , __a :							Any=3072       , __a :							Dict=12       , __a :							Tuple=12       , __a :							Tuple=3       , __a :							Optional[int]=224       , __a :							Optional[Any]=16       , __a :							str="quick_gelu"       , __a :							Any=1e-5       , __a :							List[str]=0.0       , __a :							Dict=0.02       , **__a :							Optional[Any]       , )		->					List[Any]:
        super().__init__(**__a						)

        _UpperCamelCase   :						Any    =							hidden_size
        _UpperCamelCase   :						List[str]    =							intermediate_size
        _UpperCamelCase   :						Tuple    =							num_hidden_layers
        _UpperCamelCase   :						Optional[int]    =							num_attention_heads
        _UpperCamelCase   :						Optional[Any]    =							num_channels
        _UpperCamelCase   :						Any    =							patch_size
        _UpperCamelCase   :						List[Any]    =							image_size
        _UpperCamelCase   :						Dict    =							initializer_range
        _UpperCamelCase   :						int    =							attention_dropout
        _UpperCamelCase   :						List[str]    =							layer_norm_eps
        _UpperCamelCase   :						List[Any]    =							hidden_act


  @classmethod
  def  __SCREAMING_SNAKE_CASE					(		cls :							Union[str, Any]       , __a :							Union[str, os.PathLike]       , **__a :							List[str]						)		->					"PretrainedConfig":
        cls._set_token_in_kwargs(__a						)

        _UpperCamelCase,	_UpperCamelCase   :						Optional[Any]    =							cls.get_config_dict(__a       , **__a						)

        # get the vision config dict if we are loading from GITConfig
        if config_dict.get("model_type"						) == "git":
              _UpperCamelCase   :						List[str]    =							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(__a       , **__a						)





class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:Optional[int]						  =       "git"

  def __init__(		self :							Optional[int]       , __a :							List[Any]=None       , __a :							List[str]=3_0522       , __a :							List[Any]=768       , __a :							str=6       , __a :							str=12       , __a :							Any=3072       , __a :							Tuple="gelu"       , __a :							List[str]=0.1       , __a :							Dict=0.1       , __a :							Any=1024       , __a :							Tuple=0.02       , __a :							str=1e-1_2       , __a :							List[Any]=0       , __a :							Optional[int]="absolute"       , __a :							Tuple=True       , __a :							Tuple=False       , __a :							Tuple=101       , __a :							str=102       , __a :							Tuple=None       , **__a :							Optional[Any]       , )		->					Union[str, Any]:
        super().__init__(bos_token_id=__a       , eos_token_id=__a       , pad_token_id=__a       , **__a						)

        if vision_config is None:
              _UpperCamelCase   :						int    =							{}
              logger.info("vision_config is None. initializing the GitVisionConfig with default values."						)

        _UpperCamelCase   :						Union[str, Any]    =							GitVisionConfig(**__a						)
        _UpperCamelCase   :						Optional[int]    =							vocab_size
        _UpperCamelCase   :						List[str]    =							hidden_size
        _UpperCamelCase   :						Union[str, Any]    =							num_hidden_layers
        _UpperCamelCase   :						int    =							num_attention_heads
        _UpperCamelCase   :						List[Any]    =							hidden_act
        _UpperCamelCase   :						Dict    =							intermediate_size
        _UpperCamelCase   :						str    =							hidden_dropout_prob
        _UpperCamelCase   :						List[Any]    =							attention_probs_dropout_prob
        _UpperCamelCase   :						Optional[int]    =							max_position_embeddings
        _UpperCamelCase   :						Dict    =							initializer_range
        _UpperCamelCase   :						Optional[Any]    =							layer_norm_eps
        _UpperCamelCase   :						List[str]    =							position_embedding_type
        _UpperCamelCase   :						Any    =							use_cache
        _UpperCamelCase   :						int    =							tie_word_embeddings
        _UpperCamelCase   :						Dict    =							num_image_with_embedding

        _UpperCamelCase   :						List[str]    =							bos_token_id
        _UpperCamelCase   :						str    =							eos_token_id


  def  __SCREAMING_SNAKE_CASE					(		self :							str						)		->					Any:
        _UpperCamelCase   :						Any    =							copy.deepcopy(self.__dict__						)
        _UpperCamelCase   :						List[Any]    =							self.vision_config.to_dict()
        _UpperCamelCase   :						Optional[Any]    =							self.__class__.model_type
        return output







"""simple docstring"""


import random
from typing import Any




def        lowercase__     (       lowercase_      )       ->		list[Any]:




      """simple docstring"""

      for _ in range(len(lowercase_      )      ):
            _UpperCamelCase   :						Dict    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase   :						str    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase,	_UpperCamelCase   :						Optional[Any]    =							data[b], data[a]
      return data


if __name__ == "__main__":
  lowerCamelCase__						= [0, 1, 2, 3, 4, 5, 6, 7]
  lowerCamelCase__						= ["python", "says", "hello", "!"]
  print("Fisher-Yates Shuffle:")
  print("List", integers, strings)
  print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))
