





"""simple docstring"""






from __future__ import annotations

from typing import Any




class 					__lowercase      :







					'''simple docstring'''




					def __init__(    self						,      _UpperCAmelCase						,      _UpperCAmelCase						,      _UpperCAmelCase = 0  ):
									__a							,    __a			:    Tuple      							=	row, column
									__a			:    Optional[int]      							=	[[default_value for c in range(_UpperCAmelCase  )] for r in range(_UpperCAmelCase  )]







					def __str__(    self  ):
									__a			:    Optional[Any]      							=	f"""Matrix consist of {self.row} rows and {self.column} columns\n"""

									# Make string identifier
									__a			:    Any      							=	0
									for row_vector in self.array:
													for obj in row_vector:
																	__a			:    List[str]      							=	max(_UpperCAmelCase						,      len(str(_UpperCAmelCase  )  )  )
									__a			:    str      							=	f"""%{max_element_length}s"""

									# Make string and return
									def single_line(_UpperCAmelCase  ) -> str:
													nonlocal string_format_identifier
													__a			:    int      							=	'''['''
													line += ", ".join(string_format_identifier % (obj,) for obj in row_vector  )
													line += "]"
													return line

									s += "\n".join(single_line(_UpperCAmelCase  ) for row_vector in self.array  )
									return s







					def __repr__(    self  ):
									return str(self  )







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase  ):
									if not (isinstance(_UpperCAmelCase						,      (list, tuple)  ) and len(_UpperCAmelCase  ) == 2):
													return False
									elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
													return False
									else:
													return True







					def __getitem__(    self						,      _UpperCAmelCase  ):
									assert self.validate_indicies(_UpperCAmelCase  )
									return self.array[loc[0]][loc[1]]







					def __setitem__(    self						,      _UpperCAmelCase						,      _UpperCAmelCase  ):
									assert self.validate_indicies(_UpperCAmelCase  )
									__a			:    Any      							=	value







					def __add__(    self						,      _UpperCAmelCase  ):
									assert isinstance(_UpperCAmelCase						,      _UpperCAmelCase  )
									assert self.row == another.row and self.column == another.column

									# Add
									__a			:    str      							=	Matrix(self.row						,      self.column  )
									for r in range(self.row  ):
													for c in range(self.column  ):
																	__a			:    Dict      							=	self[r, c] + another[r, c]
									return result







					def __neg__(    self  ):
									__a			:    Any      							=	Matrix(self.row						,      self.column  )
									for r in range(self.row  ):
													for c in range(self.column  ):
																	__a			:    Optional[int]      							=	-self[r, c]
									return result







					def __sub__(    self						,      _UpperCAmelCase  ):
									return self + (-another)







					def __mul__(    self						,      _UpperCAmelCase  ):

									if isinstance(_UpperCAmelCase						,      (int, float)  ):  # Scalar multiplication
													__a			:    List[str]      							=	Matrix(self.row						,      self.column  )
													for r in range(self.row  ):
																	for c in range(self.column  ):
																					__a			:    Optional[Any]      							=	self[r, c] * another
													return result
									elif isinstance(_UpperCAmelCase						,      _UpperCAmelCase  ):  # Matrix multiplication
													assert self.column == another.row
													__a			:    int      							=	Matrix(self.row						,      another.column  )
													for r in range(self.row  ):
																	for c in range(another.column  ):
																					for i in range(self.column  ):
																									result[r, c] += self[r, i] * another[i, c]
													return result
									else:
													__a			:    int      							=	f"""Unsupported type given for another ({type(_UpperCAmelCase  )})"""
													raise TypeError(_UpperCAmelCase  )







					def 			_lowerCamelCase		(    self  ):
									__a			:    Tuple      							=	Matrix(self.column						,      self.row  )
									for r in range(self.row  ):
													for c in range(self.column  ):
																	__a			:    Union[str, Any]      							=	self[r, c]
									return result







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase						,      _UpperCAmelCase  ):
									assert isinstance(_UpperCAmelCase						,      _UpperCAmelCase  ) and isinstance(_UpperCAmelCase						,      _UpperCAmelCase  )
									assert self.row == self.column == u.row == v.row  # u, v should be column vector
									assert u.column == v.column == 1  # u, v should be column vector

									# Calculate
									__a			:    Tuple      							=	v.transpose()
									__a			:    Optional[Any]      							=	(v_t * self * u)[0, 0] + 1
									if numerator_factor == 0:
													return None  # It's not invertable
									return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":

		def      __A   (      )		->		None:
						# a^(-1)
						__a			:    str      							=	Matrix(3 ,							3 ,							0)
						for i in range(3):
										__a			:    List[Any]      							=	1
						print(F"""a^(-1) is {ainv}""")
						# u, v
						__a			:    Dict      							=	Matrix(3 ,							1 ,							0)
						__a							,    __a							,    __a			:    List[Any]      							=	1, 2, -3
						__a			:    str      							=	Matrix(3 ,							1 ,							0)
						__a							,    __a							,    __a			:    Union[str, Any]      							=	4, -2, 5
						print(F"""u is {u}""")
						print(F"""v is {v}""")
						print(F"""uv^T is {u * v.transpose()}""")
						# Sherman Morrison
						print(F"""(a + uv^T)^(-1) is {ainv.sherman_morrison(a_ ,							a_)}""")

		def      __A   (      )		->		None:
						import doctest

						doctest.testmod()






		testa()




'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__a  			=						logging.get_logger(__name__)

__a  			=						{
    "shi-labs/dinat-mini-in1k-224": "https://huggingface.co/shi-labs/dinat-mini-in1k-224/resolve/main/config.json",
    # See all Dinat models at https://huggingface.co/models?filter=dinat
}







class        UpperCAmelCase_			(			_a						,						_a      ):
    """simple docstring"""







    lowercase   =						"dinat"

    lowercase   =						{
        "num_attention_heads": "num_heads",
        "num_hidden_layers": "num_layers",
    }




    def __init__(       self   :	Optional[int]					,	snake_case_   :	Optional[Any]=4					,	snake_case_   :	List[str]=3					,	snake_case_   :	Tuple=64					,	snake_case_   :	List[Any]=[3, 4, 6, 5]					,	snake_case_   :	List[Any]=[2, 4, 8, 16]					,	snake_case_   :	List[str]=7					,	snake_case_   :	List[str]=[[1, 8, 1], [1, 4, 1, 4], [1, 2, 1, 2, 1, 2], [1, 1, 1, 1, 1]]					,	snake_case_   :	List[Any]=3.0					,	snake_case_   :	Dict=True					,	snake_case_   :	int=0.0					,	snake_case_   :	Optional[int]=0.0					,	snake_case_   :	str=0.1					,	snake_case_   :	Optional[Any]="gelu"					,	snake_case_   :	Union[str, Any]=0.02					,	snake_case_   :	Optional[int]=1E-5					,	snake_case_   :	str=0.0					,	snake_case_   :	Dict=None					,	snake_case_   :	Dict=None					,	**snake_case_   :	Dict					,	):
          super().__init__(**snake_case_		)

          snake_case__    :       Optional[Any]       		= patch_size
          snake_case__    :       Union[str, Any]       		= num_channels
          snake_case__    :       int       		= embed_dim
          snake_case__    :       Dict       		= depths
          snake_case__    :       Dict       		= len(snake_case_		)
          snake_case__    :       Optional[int]       		= num_heads
          snake_case__    :       Any       		= kernel_size
          snake_case__    :       str       		= dilations
          snake_case__    :       Any       		= mlp_ratio
          snake_case__    :       int       		= qkv_bias
          snake_case__    :       int       		= hidden_dropout_prob
          snake_case__    :       int       		= attention_probs_dropout_prob
          snake_case__    :       Optional[Any]       		= drop_path_rate
          snake_case__    :       int       		= hidden_act
          snake_case__    :       Tuple       		= layer_norm_eps
          snake_case__    :       Any       		= initializer_range
          # we set the hidden_size attribute in order to make Dinat work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          snake_case__    :       Optional[Any]       		= int(embed_dim * 2 ** (len(snake_case_		) - 1)		)
          snake_case__    :       int       		= layer_scale_init_value
          snake_case__    :       Dict       		= ["""stem"""] + [f"stage{idx}" for idx in range(1					,	len(snake_case_		) + 1		)]
          snake_case__		,							snake_case__    :       Tuple       		= get_aligned_output_features_output_indices(
              out_features=snake_case_					,	out_indices=snake_case_					,	stage_names=self.stage_names		)
