def __mul__(self, other):
"""Expression : The product of two expressions.
"""
if self.shape == () or other.shape == ():
# Use one argument to apply a scaling to the remaining argument.
# We accomplish this with elementwise multiplication, which
# casts the scalar argument to match the size of the remaining
# argument.
return cvxtypes.elmul_expr()(self, other)
elif self.shape[-1] != other.shape[0] and \
(self.is_scalar() or other.is_scalar()):
# If matmul was intended, this gives a dimension mismatch. We
# interpret the ``is_scalar`` results as implying that the user
# simply wants to apply a scaling.
return cvxtypes.elmul_expr()(self, other)
else:
# The only reasonable interpretation is that the user intends
# to apply matmul. There might be a dimension mismatch, but we
# don't check for that here.
if not (self.is_constant() or other.is_constant()):
if error.warnings_enabled():
warnings.warn("Forming a nonconvex expression.")
# Because we want to discourage using ``*`` to call matmul, we
# raise a warning to the user.
warnings.resetwarnings()
warnings.warn(__STAR_MATMUL_WARNING__, DeprecationWarning)
warnings.resetwarnings()
return cvxtypes.matmul_expr()(self, other)
def __div__(self, other):
"""Expression : One expression divided by another.
"""
if (self.is_scalar() or other.is_scalar()) or other.shape == self.shape:
if error.warnings_enabled():
warnings.warn("Forming a nonconvex expression.")
return cvxtypes.div_expr()(self, other)
else:
raise ValueError("Incompatible shapes for division (%s / %s)" % (
self.shape, other.shape))
def __mul__(self, other):
"""Expression : The product of two expressions.
"""
if self.shape == () or other.shape == () or \
(self.shape[-1] != other.shape[0] and
(self.is_scalar() or other.is_scalar())):
return cvxtypes.multiply_expr()(self, other)
elif self.is_constant() or other.is_constant():
return cvxtypes.mul_expr()(self, other)
else:
if error.warnings_enabled():
warnings.warn("Forming a nonconvex expression.")
return cvxtypes.mul_expr()(self, other)
