def __mul__(self, other):
"""The product of two expressions.
"""
# Multiplying by a constant on the right is handled differently
# from multiplying by a constant on the left.
if self.is_constant():
# TODO HACK catch c.T*x where c is a NumPy 1D array.
if self.size[0] == other.size[0] and \
self.size[1] != self.size[0] and \
isinstance(self, types.constant()) and self.is_1D_array:
self = self.T
return types.mul_expr()(self, other)
elif other.is_constant():
# Having the constant on the left is more efficient.
if self.is_scalar() or other.is_scalar():
return types.mul_expr()(other, self)
else:
return types.rmul_expr()(self, other)
# When both expressions are not constant
# Allow affine * affine but raise DCPError otherwise
# Cannot multiply two non-constant expressions.
elif self.is_affine() and other.is_affine():
warnings.warn("Forming a nonconvex expression (affine)*(affine).")
return types.affine_prod_expr()(self, other)
else:
raise DCPError("Cannot multiply %s and %s." % (self.curvature, other.curvature))
def __mul__(self, other):
"""The product of two expressions.
"""
# Cannot multiply two non-constant expressions.
if not self.is_constant() and \
not other.is_constant():
raise TypeError("Cannot multiply two non-constants.")
# Multiplying by a constant on the right is handled differently
# from multiplying by a constant on the left.
elif self.is_constant():
return types.mul_expr()(self, other)
# Having the constant on the left is more efficient.
elif self.is_scalar() or other.is_scalar():
return types.mul_expr()(other, self)
else:
return types.rmul_expr()(self, other)
def __mul__(self, other):
"""The product of two expressions.
"""
# Cannot multiply two non-constant expressions.
if not self.is_constant() and \
not other.is_constant():
raise TypeError("Cannot multiply two non-constants.")
# Multiplying by a constant on the right is handled differently
# from multiplying by a constant on the left.
elif self.is_constant():
return types.mul_expr()(self, other)
# Having the constant on the left is more efficient.
elif self.is_scalar() or other.is_scalar():
return types.mul_expr()(other, self)
else:
return types.rmul_expr()(self, other)
def __mul__(self, other):
"""The product of two expressions.
"""
# Cannot multiply two non-constant expressions.
if not self.is_constant() and \
not other.is_constant():
raise DCPError("Cannot multiply two non-constants.")
# Multiplying by a constant on the right is handled differently
# from multiplying by a constant on the left.
elif self.is_constant():
# TODO HACK catch c.T*x where c is a NumPy 1D array.
if self.size[0] == other.size[0] and \
self.size[1] != self.size[0] and \
isinstance(self, types.constant()) and self.is_1D_array:
self = self.T
return types.mul_expr()(self, other)
# Having the constant on the left is more efficient.
elif self.is_scalar() or other.is_scalar():
return types.mul_expr()(other, self)
else:
return types.rmul_expr()(self, other)