

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


a_      =     logging.get_logger(__name__)

a_      =     {
    'caidas/swin2sr-classicalsr-x2-64': (
        'https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json'
    ),
}






class _UpperCamelCase				(				__A ):
			'''simple docstring'''







			lowerCamelCase__							     ='swin2sr'

			lowerCamelCase__							     ={
			    'hidden_size': 'embed_dim',
			    'num_attention_heads': 'num_heads',
			    'num_hidden_layers': 'num_layers',
			}
			def __init__(      self				:			Any   ,   a				:			List[Any]=64   ,   a				:			List[str]=1   ,   a				:			int=3   ,   a				:			Union[str, Any]=180   ,   a				:			Union[str, Any]=[6, 6, 6, 6, 6, 6]   ,   a				:			Union[str, Any]=[6, 6, 6, 6, 6, 6]   ,   a				:			Any=8   ,   a				:			List[Any]=2.0   ,   a				:			List[Any]=True   ,   a				:			Optional[Any]=0.0   ,   a				:			Union[str, Any]=0.0   ,   a				:			Union[str, Any]=0.1   ,   a				:			List[Any]="gelu"   ,   a				:			Any=False   ,   a				:			Any=0.02   ,   a				:			Tuple=1e-5   ,   a				:			Optional[int]=2   ,   a				:			List[str]=1.0   ,   a				:			int="1conv"   ,   a				:			Dict="pixelshuffle"   ,   **a				:			str   ,   )				->							Optional[Any]:

				"""simple docstring"""

				super().__init__(**a						)

				SCREAMING_SNAKE_CASE :   Tuple					  =							image_size
				SCREAMING_SNAKE_CASE :   int					  =							patch_size
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							num_channels
				SCREAMING_SNAKE_CASE :   Tuple					  =							embed_dim
				SCREAMING_SNAKE_CASE :   Dict					  =							depths
				SCREAMING_SNAKE_CASE :   Tuple					  =							len(a						)
				SCREAMING_SNAKE_CASE :   Tuple					  =							num_heads
				SCREAMING_SNAKE_CASE :   Dict					  =							window_size
				SCREAMING_SNAKE_CASE :   Optional[int]					  =							mlp_ratio
				SCREAMING_SNAKE_CASE :   str					  =							qkv_bias
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							hidden_dropout_prob
				SCREAMING_SNAKE_CASE :   List[Any]					  =							attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							drop_path_rate
				SCREAMING_SNAKE_CASE :   str					  =							hidden_act
				SCREAMING_SNAKE_CASE :   Optional[int]					  =							use_absolute_embeddings
				SCREAMING_SNAKE_CASE :   Tuple					  =							layer_norm_eps
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							initializer_range
				SCREAMING_SNAKE_CASE :   Any					  =							upscale
				SCREAMING_SNAKE_CASE :   int					  =							img_range
				SCREAMING_SNAKE_CASE :   List[Any]					  =							resi_connection
				SCREAMING_SNAKE_CASE :   List[str]					  =							upsampler



lowerCamelCase__							:						List[str]							     =   """Alexander Joslin"""

import operator as op

from .stack import Stack







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase				)    ->				int:
  snake_case__						= {'''*''': op.mul, '''/''': op.truediv, '''+''': op.add, '''-''': op.sub}

  snake_case__						= Stack()
  snake_case__						= Stack()

  for i in equation:
    if i.isdigit():
      # RULE 1
      operand_stack.push(int(__lowerCAmelCase				)				)
    elif i in operators:
      # RULE 2
      operator_stack.push(__lowerCAmelCase				)
    elif i == ")":
      # RULE 4
      snake_case__						= operator_stack.peek()
      operator_stack.pop()
      snake_case__						= operand_stack.peek()
      operand_stack.pop()
      snake_case__						= operand_stack.peek()
      operand_stack.pop()

      snake_case__						= operators[opr](__lowerCAmelCase							,   __lowerCAmelCase				)
      operand_stack.push(__lowerCAmelCase				)

    # RULE 5
  return operand_stack.peek()


if __name__ == "__main__":
   lowerCamelCase__							:						Optional[Any]							     =   """(5 + ((4 * 2) * (2 + 3)))"""
   # answer = 45
   print(F"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")

