def __init__(self, f, input=None, output=None, bound='eq'):
super(TransformedPiecewiseLinearFunctionND, self).__init__()
assert isinstance(f, PiecewiseLinearFunctionND)
if bound not in ('lb', 'ub', 'eq'):
raise ValueError("Invalid bound type %r. Must be "
"one of: ['lb','ub','eq']" % (bound))
self._bound = bound
self._f = f
_, ndim = f._tri.points.shape
if input is None:
input = [None] * ndim
self._input = expression_tuple(
expression(input[i]) for i in range(ndim))
self._output = expression(output)
def __init__(self,
f,
input=None,
output=None,
bound='eq',
validate=True,
**kwds):
super(TransformedPiecewiseLinearFunction, self).__init__()
assert isinstance(f, PiecewiseLinearFunction)
if bound not in ('lb', 'ub', 'eq'):
raise ValueError("Invalid bound type %r. Must be "
"one of: ['lb','ub','eq']" % (bound))
self._bound = bound
self._f = f
self._inout = expression_tuple([expression(input), expression(output)])
if validate:
self.validate(**kwds)
def __init__(self,
f,
input=None,
output=None,
bound='eq'):
super(TransformedPiecewiseLinearFunctionND, self).__init__()
assert isinstance(f, PiecewiseLinearFunctionND)
if bound not in ('lb', 'ub', 'eq'):
raise ValueError("Invalid bound type %r. Must be "
"one of: ['lb','ub','eq']"
% (bound))
self._bound = bound
self._f = f
_,ndim = f._tri.points.shape
if input is None:
input = [None]*ndim
self._input = expression_tuple(
expression(input[i]) for i in range(ndim))
self._output = expression(output)