def _create_spline_tf(self, father, problem):
defines = Export._create_spline_tf(self, father, problem)
for child, q_i in problem.q_i.items():
for name, ind in q_i.items():
if name in child._splines_prim:
basis = child._splines_prim[name]['basis']
for l in range(len(basis)):
sl_min = l * len(basis)
sl_max = (l + 1) * len(basis)
if set(range(sl_min, sl_max)) <= set(ind):
spl = child._splines_prim[name]
if spl['init'] is not None:
tf = '{'
for k in range(spl['init'].shape[0]):
tf += '{' + ','.join([
str(t)
for t in spl['init'][k].tolist()
]) + '},'
tf = tf[:-1] + '}'
defines.update({
('XVAR_%s_TF') % name.upper():
tf
})
break
return defines
def _create_spline_tf(self, father, problem):
constants = Export._create_spline_tf(self, father, problem)
for child, q_i in problem.q_i.items():
for name, ind in q_i.items():
if name in child._splines_prim:
basis = child._splines_prim[name]['basis']
for l in range(len(basis)):
sl_min = l*len(basis)
sl_max = (l+1)*len(basis)
if set(range(sl_min, sl_max)) <= set(ind):
spl = child._splines_prim[name]
if spl['init'] is not None:
tf = '{'
for k in range(spl['init'].shape[0]):
tf += '{'+','.join([str(t) for t in spl['init'][k].tolist()])+'},'
tf = tf[:-1]+'}'
constants.update({('std::vector<std::vector<double>> XVAR_%s_TF') % name.upper(): tf})
break
return constants
