"""simple docstring"""






import copy

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


UpperCamelCase__							:Any       =  logging.get_logger(__name__)

UpperCamelCase__							:List[Any]       =  {
    """facebook/sam-vit-huge""": """https://huggingface.co/facebook/sam-vit-huge/resolve/main/config.json""",
    """facebook/sam-vit-large""": """https://huggingface.co/facebook/sam-vit-large/resolve/main/config.json""",
    """facebook/sam-vit-base""": """https://huggingface.co/facebook/sam-vit-base/resolve/main/config.json""",
}






class     A(     _a		):

		"""simple docstring"""





		def __init__(   self				,							SCREAMING_SNAKE_CASE__=2_56				,							SCREAMING_SNAKE_CASE__=10_24				,							SCREAMING_SNAKE_CASE__=16				,							SCREAMING_SNAKE_CASE__=16				,							SCREAMING_SNAKE_CASE__=4				,							SCREAMING_SNAKE_CASE__="gelu"				,							SCREAMING_SNAKE_CASE__=1E-6				,							**SCREAMING_SNAKE_CASE__				,							)			->  Union[str, Any]:

					"""simple docstring"""



					super().__init__(**SCREAMING_SNAKE_CASE__      )
					_UpperCamelCase				:List[str]				    =  hidden_size
					_UpperCamelCase				:Union[str, Any]				    =  image_size
					_UpperCamelCase				:Optional[int]				    =  patch_size
					_UpperCamelCase				:Union[str, Any]				    =  image_size // patch_size
					_UpperCamelCase				:Dict				    =  mask_input_channels
					_UpperCamelCase				:Any				    =  num_point_embeddings
					_UpperCamelCase				:int				    =  hidden_act
					_UpperCamelCase				:Union[str, Any]				    =  layer_norm_eps






class     A(     _a		):

		"""simple docstring"""





		def __init__(   self				,							SCREAMING_SNAKE_CASE__=2_56				,							SCREAMING_SNAKE_CASE__="relu"				,							SCREAMING_SNAKE_CASE__=20_48				,							SCREAMING_SNAKE_CASE__=2				,							SCREAMING_SNAKE_CASE__=8				,							SCREAMING_SNAKE_CASE__=2				,							SCREAMING_SNAKE_CASE__=3				,							SCREAMING_SNAKE_CASE__=3				,							SCREAMING_SNAKE_CASE__=2_56				,							SCREAMING_SNAKE_CASE__=1E-6				,							**SCREAMING_SNAKE_CASE__				,							)			->  int:

					"""simple docstring"""



					super().__init__(**SCREAMING_SNAKE_CASE__      )
					_UpperCamelCase				:List[Any]				    =  hidden_size
					_UpperCamelCase				:Tuple				    =  hidden_act
					_UpperCamelCase				:int				    =  mlp_dim
					_UpperCamelCase				:Optional[int]				    =  num_hidden_layers
					_UpperCamelCase				:Optional[int]				    =  num_attention_heads
					_UpperCamelCase				:Union[str, Any]				    =  attention_downsample_rate
					_UpperCamelCase				:List[Any]				    =  num_multimask_outputs
					_UpperCamelCase				:Any				    =  iou_head_depth
					_UpperCamelCase				:List[Any]				    =  iou_head_hidden_dim
					_UpperCamelCase				:Any				    =  layer_norm_eps






class     A(     _a		):

		"""simple docstring"""





		def __init__(   self				,							SCREAMING_SNAKE_CASE__=7_68				,							SCREAMING_SNAKE_CASE__=2_56				,							SCREAMING_SNAKE_CASE__=12				,							SCREAMING_SNAKE_CASE__=12				,							SCREAMING_SNAKE_CASE__=3				,							SCREAMING_SNAKE_CASE__=10_24				,							SCREAMING_SNAKE_CASE__=16				,							SCREAMING_SNAKE_CASE__="gelu"				,							SCREAMING_SNAKE_CASE__=1E-06				,							SCREAMING_SNAKE_CASE__=0.0				,							SCREAMING_SNAKE_CASE__=1E-10				,							SCREAMING_SNAKE_CASE__=True				,							SCREAMING_SNAKE_CASE__=4.0				,							SCREAMING_SNAKE_CASE__=True				,							SCREAMING_SNAKE_CASE__=True				,							SCREAMING_SNAKE_CASE__=14				,							SCREAMING_SNAKE_CASE__=[2, 5, 8, 11]				,							SCREAMING_SNAKE_CASE__=1_28				,							SCREAMING_SNAKE_CASE__=None				,							**SCREAMING_SNAKE_CASE__				,							)			->  Optional[int]:

					"""simple docstring"""



					super().__init__(**SCREAMING_SNAKE_CASE__      )

					_UpperCamelCase				:Tuple				    =  hidden_size
					_UpperCamelCase				:Optional[Any]				    =  output_channels
					_UpperCamelCase				:Optional[int]				    =  num_hidden_layers
					_UpperCamelCase				:Any				    =  num_attention_heads
					_UpperCamelCase				:List[Any]				    =  num_channels
					_UpperCamelCase				:Tuple				    =  image_size
					_UpperCamelCase				:Union[str, Any]				    =  patch_size
					_UpperCamelCase				:Union[str, Any]				    =  hidden_act
					_UpperCamelCase				:Union[str, Any]				    =  layer_norm_eps
					_UpperCamelCase				:Tuple				    =  attention_dropout
					_UpperCamelCase				:List[Any]				    =  initializer_range
					_UpperCamelCase				:int				    =  qkv_bias
					_UpperCamelCase				:Any				    =  mlp_ratio
					_UpperCamelCase				:Union[str, Any]				    =  use_abs_pos
					_UpperCamelCase				:Union[str, Any]				    =  use_rel_pos
					_UpperCamelCase				:str				    =  window_size
					_UpperCamelCase				:List[str]				    =  global_attn_indexes
					_UpperCamelCase				:List[Any]				    =  num_pos_feats
					_UpperCamelCase				:List[str]				    =  int(hidden_size * mlp_ratio      ) if mlp_dim is None else mlp_dim






class     A(     _a		):

		"""simple docstring"""





		A         =       'sam'
		A         =       True
		def __init__(   self				,							SCREAMING_SNAKE_CASE__=None				,							SCREAMING_SNAKE_CASE__=None				,							SCREAMING_SNAKE_CASE__=None				,							SCREAMING_SNAKE_CASE__=0.0_2				,							**SCREAMING_SNAKE_CASE__				,							)			->  Dict:

					"""simple docstring"""



					super().__init__(**SCREAMING_SNAKE_CASE__      )
					_UpperCamelCase				:Dict				    =  vision_config if vision_config is not None else {}
					_UpperCamelCase				:Dict				    =  prompt_encoder_config if prompt_encoder_config is not None else {}
					_UpperCamelCase				:Tuple				    =  mask_decoder_config if mask_decoder_config is not None else {}

					if isinstance(SCREAMING_SNAKE_CASE__				,							SCREAMING_SNAKE_CASE__      ):
								_UpperCamelCase				:Dict				    =  vision_config.to_dict()
					if isinstance(SCREAMING_SNAKE_CASE__				,							SCREAMING_SNAKE_CASE__      ):
								_UpperCamelCase				:Union[str, Any]				    =  prompt_encoder_config.to_dict()
					if isinstance(SCREAMING_SNAKE_CASE__				,							SCREAMING_SNAKE_CASE__      ):
								_UpperCamelCase				:Optional[Any]				    =  mask_decoder_config.to_dict()

					_UpperCamelCase				:List[Any]				    =  SamVisionConfig(**SCREAMING_SNAKE_CASE__      )
					_UpperCamelCase				:Union[str, Any]				    =  SamPromptEncoderConfig(**SCREAMING_SNAKE_CASE__      )
					_UpperCamelCase				:Union[str, Any]				    =  SamMaskDecoderConfig(**SCREAMING_SNAKE_CASE__      )
					_UpperCamelCase				:Union[str, Any]				    =  initializer_range





		def      _UpperCamelCase(   self      )			->  Union[str, Any]:

					"""simple docstring"""



					_UpperCamelCase				:Dict				    =  copy.deepcopy(self.__dict__      )
					_UpperCamelCase				:Any				    =  self.vision_config.to_dict()
					_UpperCamelCase				:List[Any]				    =  self.prompt_encoder_config.to_dict()
					_UpperCamelCase				:Any				    =  self.mask_decoder_config.to_dict()
					_UpperCamelCase				:List[str]				    =  self.__class__.model_type
					return output





"""simple docstring"""






def 							A_					(   snake_case__		)				->     str:
			_UpperCamelCase				:Tuple				    =  word.upper()
			_UpperCamelCase				:Dict				    =  0
			_UpperCamelCase				:Union[str, Any]				    =  {}
			_UpperCamelCase				:Optional[int]				    =  []

			for letter in word:
						if letter not in letter_nums:
									_UpperCamelCase				:Dict				    =  str(snake_case__		)
									next_num += 1
						word_pattern.append(letter_nums[letter]		)
			return ".".join(snake_case__		)


if __name__ == "__main__":
					import pprint
					import time

					UpperCamelCase__							:Dict       =  time.time()
					with open("""dictionary.txt""") as in_file:
										UpperCamelCase__							:str       =  in_file.read().splitlines()

					UpperCamelCase__							:dict       =  {}
					for word in word_list:
										UpperCamelCase__							:List[Any]       =  get_word_pattern(word)
										if pattern in all_patterns:
															all_patterns[pattern].append(word)
										else:
															UpperCamelCase__							:Tuple       =  [word]

					with open("""word_patterns.txt""", """w""") as out_file:
										out_file.write(pprint.pformat(all_patterns))

					UpperCamelCase__							:Dict       =  round(time.time() - start_time, 2)
					print(F"""Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.""")
					# Done!  9,581 word patterns found in 0.58 seconds.

