def block_add(self, matrix, block, vert_offset, horiz_offset, rows, cols,
vert_step=1, horiz_step=1):
# If the block is a scalar, promote it.
if intf.is_scalar(block):
block = self.scalar_matrix(intf.scalar_value(block), rows, cols)
# If the block is a vector coerced into a matrix, promote it.
elif intf.is_vector(block) and cols > 1:
block = self.reshape(block, (rows, cols))
# If the block is a matrix coerced into a vector, vectorize it.
elif not intf.is_vector(block) and cols == 1:
block = self.reshape(block, (rows, cols))
# Ensure the block is the same type as the matrix.
elif type(block) != type(matrix):
block = self.const_to_matrix(block)
matrix[vert_offset:(rows+vert_offset):vert_step,
horiz_offset:(horiz_offset+cols):horiz_step] += block
def _format_block(self, matrix, block, rows, cols):
"""Formats the block for block_add.
Args:
matrix: The matrix the block will be added to.
block: The matrix/scalar to be added.
rows: The height of the block.
cols: The width of the block.
"""
# If the block is a scalar, promote it.
if intf.is_scalar(block):
block = self.scalar_matrix(intf.scalar_value(block), rows, cols)
# If the block is a vector coerced into a matrix, promote it.
elif intf.is_vector(block) and cols > 1:
block = self.reshape(block, (rows, cols))
# If the block is a matrix coerced into a vector, vectorize it.
elif not intf.is_vector(block) and cols == 1:
block = self.reshape(block, (rows, cols))
# Ensure the block is the same type as the matrix.
elif type(block) != type(matrix):
block = self.const_to_matrix(block)
return block
def _format_block(self, matrix, block, rows, cols):
"""Formats the block for block_add.
Args:
matrix: The matrix the block will be added to.
block: The matrix/scalar to be added.
rows: The height of the block.
cols: The width of the block.
"""
# If the block is a scalar, promote it.
if intf.is_scalar(block):
block = self.scalar_matrix(intf.scalar_value(block), rows, cols)
# If the block is a vector coerced into a matrix, promote it.
elif intf.is_vector(block) and cols > 1:
block = self.reshape(block, (rows, cols))
# If the block is a matrix coerced into a vector, vectorize it.
elif not intf.is_vector(block) and cols == 1:
block = self.reshape(block, (rows, cols))
# Ensure the block is the same type as the matrix.
elif type(block) != type(matrix):
block = self.const_to_matrix(block)
return block
def new_converter(self, value, convert_scalars=False):
if not convert_scalars and intf.is_scalar(value):
return intf.scalar_value(value)
else:
return converter(self, value)
def new_converter(self, value, convert_scalars=False):
if not convert_scalars and intf.is_scalar(value):
return intf.scalar_value(value)
else:
return converter(self, value)
def new_converter(self, value):
if intf.is_scalar(value):
return intf.scalar_value(value)
else:
return converter(self, value)
