def setUp(self): f = lambda x: sin(30*x) subinterval = Interval(-2,3) self.f = f self.ff = Bndfun.initfun_adaptive(f, subinterval) self.xx = subinterval(np.linspace(-1,1,100)) self.emptyfun = Bndfun(Chebtech2.initempty(), subinterval) self.constfun = Bndfun(Chebtech2.initconst(1.), subinterval)
def setUp(self): f = lambda x: sin(30 * x) subinterval = Interval(-2, 3) self.f = f self.ff = Bndfun.initfun_adaptive(f, subinterval) self.xx = subinterval(np.linspace(-1, 1, 100)) self.emptyfun = Bndfun(Chebtech2.initempty(), subinterval) self.constfun = Bndfun(Chebtech2.initconst(1.), subinterval)
def test_empty(self): ff = Chebtech2.initempty() self.assertEquals(ff.roots().size, 0)
def setUp(self): self.xx = -1 + 2 * rand(1000) self.emptyfun = Chebtech2.initempty()
def test_empty_construction(self): ff = Chebtech2.initempty() self.assertEquals(ff.size, 0) self.assertFalse(ff.isconst) self.assertTrue(ff.isempty) self.assertRaises(TypeError, Chebtech2.initempty, [1.])
def setUp(self): self.emptyfun = Bndfun(Chebtech2.initempty(), Interval()) self.yy = np.linspace(-1, 1, 2000)
def setUp(self): self.emptyfun = Bndfun(Chebtech2.initempty(), Interval()) self.yy = -1 + 2*rand(2000)
def test_init_empty(self): Chebtech2.initempty()
def setUp(self): self.emptyfun = Bndfun(Chebtech2.initempty(), Interval()) self.yy = np.linspace(-1,1,2000)
def setUp(self): self.xx = -1 + 2 * np.random.rand(1000) self.emptyfun = Chebtech2.initempty()