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


UpperCAmelCase_           =				logging.get_logger(__name__)

UpperCAmelCase_           =				{
    '''vinvino02/glpn-kitti''': '''https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json''',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}




class 			__magic_name__	(		__a     ):





   """simple docstring"""




   lowerCAmelCase   :     int	      = '''glpn'''



   def __init__(						self       :	int		,	_lowercase       :	Any=3		,	_lowercase       :	List[Any]=4		,	_lowercase       :	List[Any]=[2, 2, 2, 2]		,	_lowercase       :	Tuple=[8, 4, 2, 1]		,	_lowercase       :	List[Any]=[32, 64, 160, 256]		,	_lowercase       :	str=[7, 3, 3, 3]		,	_lowercase       :	Any=[4, 2, 2, 2]		,	_lowercase       :	List[Any]=[1, 2, 5, 8]		,	_lowercase       :	int=[4, 4, 4, 4]		,	_lowercase       :	List[str]="gelu"		,	_lowercase       :	Tuple=0.0		,	_lowercase       :	int=0.0		,	_lowercase       :	Tuple=0.02		,	_lowercase       :	Dict=0.1		,	_lowercase       :	Optional[int]=1E-6		,	_lowercase       :	Optional[int]=64		,	_lowercase       :	Dict=10		,	_lowercase       :	str=-1		,	**_lowercase       :	Optional[int]		,	):



    """simple docstring"""



    super().__init__(**_lowercase				)

    _UpperCamelCase:  Dict    						=			num_channels
    _UpperCamelCase:  Tuple    						=			num_encoder_blocks
    _UpperCamelCase:  List[Any]    						=			depths
    _UpperCamelCase:  Optional[Any]    						=			sr_ratios
    _UpperCamelCase:  List[Any]    						=			hidden_sizes
    _UpperCamelCase:  List[Any]    						=			patch_sizes
    _UpperCamelCase:  Any    						=			strides
    _UpperCamelCase:  Dict    						=			mlp_ratios
    _UpperCamelCase:  Tuple    						=			num_attention_heads
    _UpperCamelCase:  Optional[int]    						=			hidden_act
    _UpperCamelCase:  Dict    						=			hidden_dropout_prob
    _UpperCamelCase:  Optional[Any]    						=			attention_probs_dropout_prob
    _UpperCamelCase:  int    						=			initializer_range
    _UpperCamelCase:  Tuple    						=			drop_path_rate
    _UpperCamelCase:  int    						=			layer_norm_eps
    _UpperCamelCase:  Dict    						=			decoder_hidden_size
    _UpperCamelCase:  Dict    						=			max_depth
    _UpperCamelCase:  List[Any]    						=			head_in_index
def    lowerCAmelCase_  (		lowercase:				Dict		)     ->					Any:







 '''simple docstring'''
 _UpperCamelCase:  int    						=			[]
 _UpperCamelCase:  Dict    						=			set({'''(''', '''[''', '''{'''}		)
 _UpperCamelCase:  int    						=			set({''')''', ''']''', '''}'''}		)
 _UpperCamelCase:  Dict    						=			{'''{''': '''}''', '''[''': ''']''', '''(''': ''')'''}

 for i in range(len(lowercase		)		):
  if s[i] in open_brackets:
   stack.append(s[i]		)

  elif s[i] in closed_brackets and (
      len(lowercase		) == 0 or (len(lowercase		) > 0 and open_to_closed[stack.pop()] != s[i])
  ):
   return False

 return len(lowercase		) == 0




def    lowerCAmelCase_  (		)     ->					int:







 '''simple docstring'''
 _UpperCamelCase:  List[str]    						=			input('''Enter sequence of brackets: '''		)
 if is_balanced(lowercase		):
  print(lowercase	,       '''is balanced'''		)
 else:
  print(lowercase	,       '''is not balanced'''		)


if __name__ == "__main__":
  main()