def _make_xgen(self):
xl = randint(-10, 0, self.param['n'])
xu = randint(1, 10, self.param['n'])
self.info['xl'] = npvec(xl)
self.info['xu'] = npvec(xu)
self.info['xgen'] = npvec(
[(xl[i] + (xu[i] - xl[i]) * randcst())[0] for i in range(self.param['n'])])
def _make_ygen(self):
self._make_u()
num_double_at_upper = self.info[
'md_upp_deg'] + self.info['md_upp_nonactive']
num_not_floating = self.info['md'] - self.info['md_float']
double_at_upper = npvec(self.u[:num_double_at_upper])
double_at_lower = zeros(
self.info['md_low_deg'] + self.info['md_low_nonactive'])
double_floating = npvec(
[randcst() * x for x in self.u[num_not_floating:]])
single_at_lower = zeros(
self.info['ms_deg'] + self.info['ms_nonactive'])
single_floating = rand(self.info['ms_active'])
# ygen = conmat([npvec(u[:m_upp_deg+upp_nonactive]), # double_at_upper
# zeros(m_low_deg+low_nonactive), # double_at_lower
# v2, # double_floating
# zeros(m_inf_deg+inf_nonactive), # single_at_lower
# rand(m_inf-m_inf_deg-inf_nonactive)]) # single_floating
self.info['ygen'] = conmat([
double_at_upper, # y=u cases
double_at_lower, # y=0 cases
double_floating, # 0<y<u cases
single_at_lower, # y=0 cases
single_floating]) # y>0 cases
for yi in self.info['ygen']:
assert yi >= 0
for i in range(self.info['md']):
assert self.info['ygen'][i] <= self.u[i]
def test(self):
""" Test with a simple input.
"""
size = 10
vec = [x for x in range(size)]
res = helpers.npvec(vec)
self.assertEqual(res.shape, (size, 1))
