def test_blind1():
# see whether we get segfaults or not.
x = numpy.arange(0, 1, 0.1)
y = numpy.random.normal(0, 1, len(x))
d = numpy.zeros(len(x), float)
spline_construct(x, y, d)
x_new = numpy.random.uniform(-1, 2, 50)
y_new = numpy.zeros(len(x_new), float)
spline_eval(x, y, d, x_new, y_new)
yint = numpy.zeros(len(y), float)
spline_cumul_int(x, y, d, yint)
def test_blind2():
# see whether we get segfaults or not.
x = numpy.arange(0, 1.005, 0.1) * numpy.pi * 2
y = numpy.sin(x)
d = numpy.zeros(len(x), float)
spline_construct(x, y, d)
x_new = numpy.arange(0, 1.0005, 0.01) * numpy.pi * 2
y_new = numpy.zeros(len(x_new), float)
spline_eval(x, y, d, x_new, y_new)
yint_spline = numpy.zeros(len(y), float)
spline_cumul_int(x, y, d, yint_spline)
def __call__(self, x):
y = numpy.zeros(len(x), float)
spline_eval(self.x,self.y,self.d,x,y)
return y
