



'''simple docstring'''






import copy
import os
from typing import Union

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


UpperCamelCase__:     Any										=    logging.get_logger(__name__)

UpperCamelCase__:     Any										=    {
    "microsoft/git-base": "https://huggingface.co/microsoft/git-base/resolve/main/config.json",
}

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= """git_vision_model"""







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

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







	@classmethod
	def   A			(		cls    :  int	,    __snake_case    :  Union[str, os.PathLike]	,    **__snake_case    :  Any	)    ->	"PretrainedConfig":
								cls._set_token_in_kwargs(__snake_case	)

								UpperCAmelCase				: List[Any]											=	cls.get_config_dict(__snake_case	,    **__snake_case	)

								# get the vision config dict if we are loading from GITConfig
								if config_dict.get('''model_type'''	) == "git":
															UpperCAmelCase				: Tuple											=	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(__snake_case	,    **__snake_case	)

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= """git"""







	def __init__(		self    :  Union[str, Any]	,    __snake_case    :  List[str]=None	,    __snake_case    :  Optional[int]=30522	,    __snake_case    :  Optional[Any]=768	,    __snake_case    :  List[str]=6	,    __snake_case    :  Tuple=12	,    __snake_case    :  Dict=3072	,    __snake_case    :  Optional[Any]="gelu"	,    __snake_case    :  int=0.1	,    __snake_case    :  int=0.1	,    __snake_case    :  Dict=1024	,    __snake_case    :  int=0.02	,    __snake_case    :  int=1E-12	,    __snake_case    :  Any=0	,    __snake_case    :  int="absolute"	,    __snake_case    :  List[str]=True	,    __snake_case    :  List[str]=False	,    __snake_case    :  Dict=101	,    __snake_case    :  Optional[Any]=102	,    __snake_case    :  Any=None	,    **__snake_case    :  List[Any]	,    )    ->	str:
								super().__init__(bos_token_id=__snake_case	,    eos_token_id=__snake_case	,    pad_token_id=__snake_case	,    **__snake_case	)

								if vision_config is None:
															UpperCAmelCase				: Optional[int]											=	{}
															logger.info('''vision_config is None. initializing the GitVisionConfig with default values.'''	)

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

								UpperCAmelCase				: List[Any]											=	bos_token_id
								UpperCAmelCase				: str											=	eos_token_id







	def   A			(		self    :  List[Any]	)    ->	int:
								UpperCAmelCase				: Union[str, Any]											=	copy.deepcopy(self.__dict__	)
								UpperCAmelCase				: int											=	self.vision_config.to_dict()
								UpperCAmelCase				: List[str]											=	self.__class__.model_type
								return output










'''simple docstring'''






import numpy as np

UpperCamelCase__:     Any										=    [
    ["a", "b", "c", "d", "e"],
    ["f", "g", "h", "i", "k"],
    ["l", "m", "n", "o", "p"],
    ["q", "r", "s", "t", "u"],
    ["v", "w", "x", "y", "z"],
]

class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(		self    :  Any	)    ->	None:
								UpperCAmelCase				: Optional[int]											=	np.array(__snake_case	)







	def   A			(		self    :  str	,    __snake_case    :  str	)    ->	np.ndarray:
								UpperCAmelCase							,	UpperCAmelCase				: Dict											=	np.where(letter == self.SQUARE	)
								UpperCAmelCase				: Dict											=	np.concatenate([indexa + 1, indexa + 1]	)
								return indexes







	def   A			(		self    :  Union[str, Any]	,    __snake_case    :  int	,    __snake_case    :  int	)    ->	str:
								UpperCAmelCase				: int											=	self.SQUARE[indexa - 1, indexa - 1]
								return letter







	def   A			(		self    :  List[Any]	,    __snake_case    :  str	)    ->	str:
								UpperCAmelCase				: Any											=	message.lower()
								UpperCAmelCase				: List[Any]											=	message.replace(''' '''	,    ''''''	)
								UpperCAmelCase				: List[Any]											=	message.replace('''j'''	,    '''i'''	)

								UpperCAmelCase				: Tuple											=	np.empty((2, len(__snake_case	))	)
								for letter_index in range(len(__snake_case	)	):
															UpperCAmelCase				: str											=	self.letter_to_numbers(message[letter_index]	)

															UpperCAmelCase				: Any											=	numbers[0]
															UpperCAmelCase				: Optional[Any]											=	numbers[1]

								UpperCAmelCase				: List[str]											=	first_step.reshape(2 * len(__snake_case	)	)
								UpperCAmelCase				: Union[str, Any]											=	''''''
								for numbers_index in range(len(__snake_case	)	):
															UpperCAmelCase				: Dict											=	int(second_step[numbers_index * 2]	)
															UpperCAmelCase				: Union[str, Any]											=	int(second_step[(numbers_index * 2) + 1]	)
															UpperCAmelCase				: Dict											=	self.numbers_to_letter(__snake_case	,    __snake_case	)
															UpperCAmelCase				: int											=	encoded_message + letter

								return encoded_message







	def   A			(		self    :  Optional[Any]	,    __snake_case    :  str	)    ->	str:
								UpperCAmelCase				: str											=	message.lower()
								message.replace(''' '''	,    ''''''	)
								UpperCAmelCase				: Optional[int]											=	np.empty(2 * len(__snake_case	)	)
								for letter_index in range(len(__snake_case	)	):
															UpperCAmelCase				: int											=	self.letter_to_numbers(message[letter_index]	)
															UpperCAmelCase				: Optional[Any]											=	numbers[0]
															UpperCAmelCase				: List[Any]											=	numbers[1]

								UpperCAmelCase				: Tuple											=	first_step.reshape((2, len(__snake_case	))	)
								UpperCAmelCase				: str											=	''''''
								for numbers_index in range(len(__snake_case	)	):
															UpperCAmelCase				: Tuple											=	int(second_step[0, numbers_index]	)
															UpperCAmelCase				: List[str]											=	int(second_step[1, numbers_index]	)
															UpperCAmelCase				: Union[str, Any]											=	self.numbers_to_letter(__snake_case	,    __snake_case	)
															UpperCAmelCase				: Union[str, Any]											=	decoded_message + letter

								return decoded_message





