






def        _lowerCamelCase		(  __A      :							str						,						__A      :							str						,						__A      :							int						,						__A      :							int						,						__A      :							int						,						__A      :							int						,						) ->   tuple[list[list[int]], list[list[str]]]:
    _UpperCAmelCase			: Optional[Any]     					=			list(__A	)
    _UpperCAmelCase			: str     					=			list(__A	)
    _UpperCAmelCase			: Tuple     					=			len(__A	)
    _UpperCAmelCase			: Any     					=			len(__A	)

    _UpperCAmelCase			: Optional[Any]     					=			[
        [0 for _ in range(len_destination_seq + 1	)] for _ in range(len_source_seq + 1	)
    ]
    _UpperCAmelCase			: Optional[Any]     					=			[
        ['''0''' for _ in range(len_destination_seq + 1	)] for _ in range(len_source_seq + 1	)
    ]

    for i in range(1						,						len_source_seq + 1	):
        _UpperCAmelCase			: Optional[int]     					=			i * delete_cost
        _UpperCAmelCase			: Optional[int]     					=			f'''D{source_seq[i - 1]:c}'''

    for i in range(1						,						len_destination_seq + 1	):
        _UpperCAmelCase			: List[str]     					=			i * insert_cost
        _UpperCAmelCase			: Union[str, Any]     					=			f'''I{destination_seq[i - 1]:c}'''

    for i in range(1						,						len_source_seq + 1	):
        for j in range(1						,						len_destination_seq + 1	):
            if source_seq[i - 1] == destination_seq[j - 1]:
                _UpperCAmelCase			: List[str]     					=			costs[i - 1][j - 1] + copy_cost
                _UpperCAmelCase			: Tuple     					=			f'''C{source_seq[i - 1]:c}'''
            else:
                _UpperCAmelCase			: Dict     					=			costs[i - 1][j - 1] + replace_cost
                _UpperCAmelCase			: Optional[Any]     					=			f'''R{source_seq[i - 1]:c}''' + str(destination_seq[j - 1]	)

            if costs[i - 1][j] + delete_cost < costs[i][j]:
                _UpperCAmelCase			: Any     					=			costs[i - 1][j] + delete_cost
                _UpperCAmelCase			: Any     					=			f'''D{source_seq[i - 1]:c}'''

            if costs[i][j - 1] + insert_cost < costs[i][j]:
                _UpperCAmelCase			: Tuple     					=			costs[i][j - 1] + insert_cost
                _UpperCAmelCase			: Union[str, Any]     					=			f'''I{destination_seq[j - 1]:c}'''

    return costs, ops

def        _lowerCamelCase		(  __A      :							list[list[str]]						,						__A      :							int						,						__A      :							int	) ->   list[str]:
    if i == 0 and j == 0:
        return []
    else:
        if ops[i][j][0] == "C" or ops[i][j][0] == "R":
            _UpperCAmelCase			: Dict     					=			assemble_transformation(__A						,						i - 1						,						j - 1	)
            seq.append(ops[i][j]	)
            return seq
        elif ops[i][j][0] == "D":
            _UpperCAmelCase			: Union[str, Any]     					=			assemble_transformation(__A						,						i - 1						,						__A	)
            seq.append(ops[i][j]	)
            return seq
        else:
            _UpperCAmelCase			: Union[str, Any]     					=			assemble_transformation(__A						,						__A						,						j - 1	)
            seq.append(ops[i][j]	)
            return seq


if __name__ == "__main__":
  SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE								=  compute_transform_tables('Python', 'Algorithms', -1, 1, 2, 2)

  SCREAMING_SNAKE_CASE								=  len(operations)
  SCREAMING_SNAKE_CASE								=  len(operations[0])
  SCREAMING_SNAKE_CASE								=  assemble_transformation(operations, m - 1, n - 1)

  SCREAMING_SNAKE_CASE								=  list('Python')
  SCREAMING_SNAKE_CASE								=  0
  SCREAMING_SNAKE_CASE								=  0

  with open('min_cost.txt', 'w') as file:
    for op in sequence:
      print(''.join(string))

      if op[0] == "C":
        file.write('%-16s' % 'Copy %c' % op[1])
        file.write('\t\t\t' + ''.join(string))
        file.write('\r\n')

        cost -= 1
      elif op[0] == "R":
        SCREAMING_SNAKE_CASE								=  op[2]

        file.write('%-16s' % ('Replace %c' % op[1] + ' with ' + str(op[2])))
        file.write('\t\t' + ''.join(string))
        file.write('\r\n')

        cost += 1
      elif op[0] == "D":
        string.pop(i)

        file.write('%-16s' % 'Delete %c' % op[1])
        file.write('\t\t\t' + ''.join(string))
        file.write('\r\n')

        cost += 2
      else:
        string.insert(i, op[1])

        file.write('%-16s' % 'Insert %c' % op[1])
        file.write('\t\t\t' + ''.join(string))
        file.write('\r\n')

        cost += 2

      i += 1

    print(''.join(string))
    print('Cost: ', cost)

    file.write('\r\nMinimum cost: ' + str(cost))












from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE								=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE								=  {
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}
class 							A_      (  __lowercase     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     Dict	=   "swiftformer"


 def __init__(		self							,					_A=3							,					_A=[3, 3, 6, 4]							,					_A=[48, 56, 112, 220]							,					_A=4							,					_A=[True, True, True, True]							,					_A="gelu"							,					_A=3							,					_A=2							,					_A=1							,					_A=0.0							,					_A=True							,					_A=1e-5							,					_A=1e-5							,					**_A							,					)	->						List[Any]:

     """simple docstring"""



     super().__init__(**_A)
     _UpperCAmelCase			: Tuple     					=			num_channels
     _UpperCAmelCase			: Optional[int]     					=			depths
     _UpperCAmelCase			: Union[str, Any]     					=			embed_dims
     _UpperCAmelCase			: Dict     					=			mlp_ratio
     _UpperCAmelCase			: Tuple     					=			downsamples
     _UpperCAmelCase			: str     					=			hidden_act
     _UpperCAmelCase			: int     					=			down_patch_size
     _UpperCAmelCase			: Dict     					=			down_stride
     _UpperCAmelCase			: Dict     					=			down_pad
     _UpperCAmelCase			: Tuple     					=			drop_path_rate
     _UpperCAmelCase			: Tuple     					=			use_layer_scale
     _UpperCAmelCase			: int     					=			layer_scale_init_value
     _UpperCAmelCase			: int     					=			batch_norm_eps



class 							A_      (  __lowercase     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     List[Any]	=   version.parse("1.11"     )


 @property
 def 	snake_case__			(		self)	->						Mapping[str, Mapping[int, str]]:

     """simple docstring"""



     return OrderedDict(
         [
             ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
         ])


 @property
 def 	snake_case__			(		self)	->						float:

     """simple docstring"""



     return 1e-4




