





from __future__ import annotations

from typing import Any







class   __lowerCAmelCase			:





   def __init__( self					,			snake_case					,			snake_case					,			snake_case = 0      )				->  None:
      """simple docstring"""





      a__		,     a__	:						Optional[int]      		=  row, column
      a__	:						Tuple      		=  [[default_value for c in range(snake_case      )] for r in range(snake_case      )]





   def __str__( self      )				->  str:
      """simple docstring"""





      a__	:						Dict      		=  F"""Matrix consist of {self.row} rows and {self.column} columns\n"""

      # Make string identifier
      a__	:						List[str]      		=  0
      for row_vector in self.array:
         for obj in row_vector:
            a__	:						Optional[int]      		=  max(snake_case					,			len(str(snake_case      )      )      )
      a__	:						int      		=  F"""%{max_element_length}s"""

      # Make string and return
      def single_line(snake_case      ) -> str:
         nonlocal string_format_identifier
         a__	:						Union[str, Any]      		=  "["
         line += ", ".join(string_format_identifier % (obj,) for obj in row_vector      )
         line += "]"
         return line

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





   def __repr__( self      )				->  str:
      """simple docstring"""





      return str(self      )





   def 	_snake_case ( self					,			snake_case      )				->  bool:
      """simple docstring"""





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





   def __getitem__( self					,			snake_case      )				->  Any:
      """simple docstring"""





      assert self.validate_indicies(snake_case      )
      return self.array[loc[0]][loc[1]]





   def __setitem__( self					,			snake_case					,			snake_case      )				->  None:
      """simple docstring"""





      assert self.validate_indicies(snake_case      )
      a__	:						Tuple      		=  value





   def __add__( self					,			snake_case      )				->  Matrix:
      """simple docstring"""





      assert isinstance(snake_case					,			snake_case      )
      assert self.row == another.row and self.column == another.column

      # Add
      a__	:						Optional[int]      		=  Matrix(self.row					,			self.column      )
      for r in range(self.row      ):
         for c in range(self.column      ):
            a__	:						Optional[int]      		=  self[r, c] + another[r, c]
      return result





   def __neg__( self      )				->  Matrix:
      """simple docstring"""





      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					,			snake_case      )				->  Matrix:
      """simple docstring"""





      return self + (-another)





   def __mul__( self					,			snake_case      )				->  Matrix:
      """simple docstring"""





      if isinstance(snake_case					,			(int, float)      ):  # Scalar multiplication
         a__	:						List[Any]      		=  Matrix(self.row					,			self.column      )
         for r in range(self.row      ):
            for c in range(self.column      ):
               a__	:						Tuple      		=  self[r, c] * another
         return result
      elif isinstance(snake_case					,			snake_case      ):  # Matrix multiplication
         assert self.column == another.row
         a__	:						List[str]      		=  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__	:						List[Any]      		=  F"""Unsupported type given for another ({type(snake_case      )})"""
         raise TypeError(snake_case      )





   def 	_snake_case ( self      )				->  Matrix:
      """simple docstring"""





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





   def 	_snake_case ( self					,			snake_case					,			snake_case      )				->  Any:
      """simple docstring"""





      assert isinstance(snake_case					,			snake_case      ) and isinstance(snake_case					,			snake_case      )
      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__	:						Any      		=  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  (      ):
     # a^(-1)
     a__	:						Union[str, Any]      		=  Matrix(3							, 3							, 0   )
     for i in range(3   ):
        a__	:						Any      		=  1
     print(F"""a^(-1) is {ainv}"""   )
     # u, v
     a__	:						Tuple      		=  Matrix(3							, 1							, 0   )
     a__		,     a__		,     a__	:						Optional[Any]      		=  1, 2, -3
     a__	:						str      		=  Matrix(3							, 1							, 0   )
     a__		,     a__		,     a__	:						List[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(lowerCamelCase							, lowerCamelCase   )}"""   )






  def       _A  (      ):
     import doctest

     doctest.testmod()


  testa()








import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


SCREAMING_SNAKE_CASE__       :			int			      =						logging.get_logger(__name__)







class   __lowerCAmelCase			(					_UpperCamelCase  ):
   _UpperCamelCase :						int     		=				"""upernet"""





   def __init__( self					,			snake_case=None					,			snake_case=512					,			snake_case=0.02					,			snake_case=[1, 2, 3, 6]					,			snake_case=True					,			snake_case=0.4					,			snake_case=384					,			snake_case=256					,			snake_case=1					,			snake_case=False					,			snake_case=255					,			**snake_case					,			)				->  Optional[Any]:
      """simple docstring"""





      super().__init__(**snake_case      )

      if backbone_config is None:
         logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."      )
         a__	:						List[str]      		=  CONFIG_MAPPING["resnet"](out_features=["stage1", "stage2", "stage3", "stage4"]      )
      elif isinstance(snake_case					,			snake_case      ):
         a__	:						Optional[int]      		=  backbone_config.get("model_type"      )
         a__	:						str      		=  CONFIG_MAPPING[backbone_model_type]
         a__	:						str      		=  config_class.from_dict(snake_case      )

      a__	:						int      		=  backbone_config
      a__	:						Optional[Any]      		=  hidden_size
      a__	:						Optional[Any]      		=  initializer_range
      a__	:						Tuple      		=  pool_scales
      a__	:						Optional[Any]      		=  use_auxiliary_head
      a__	:						Optional[Any]      		=  auxiliary_loss_weight
      a__	:						Dict      		=  auxiliary_in_channels
      a__	:						Optional[int]      		=  auxiliary_channels
      a__	:						Any      		=  auxiliary_num_convs
      a__	:						Any      		=  auxiliary_concat_input
      a__	:						int      		=  loss_ignore_index





   def 	_snake_case ( self      )				->  str:
      """simple docstring"""





      a__	:						Tuple      		=  copy.deepcopy(self.__dict__      )
      a__	:						Optional[Any]      		=  self.backbone_config.to_dict()
      a__	:						List[Any]      		=  self.__class__.model_type
      return output

