Source code for numdifftools.tests.test_limits

"""
Created on 28. aug. 2015

@author: pab
"""
from __future__ import absolute_import, division, print_function

import numpy as np
from numpy.testing import assert_array_almost_equal, assert_allclose  # @UnresolvedImport
from numdifftools.limits import Limit, Residue, CStepGenerator
from numdifftools.step_generators import make_exact
from numdifftools.extrapolation import EPS


[docs]class TestCStepGenerator(object):
[docs] @staticmethod def test_default_generator(): step_gen = CStepGenerator(num_steps=8) h = np.array([h for h in step_gen(0)]) print(h) desired = np.array([[1.47701940e-09, 3.69254849e-10, 9.23137122e-11, 2.30784281e-11, 5.76960701e-12, 1.44240175e-12, 3.60600438e-13, 9.01501096e-14]]) assert_array_almost_equal((h - desired) / desired, 0)
[docs] @staticmethod def test_default_base_step(): step_gen = CStepGenerator(num_steps=1, offset=0) h = [h for h in step_gen(0)] desired = make_exact(EPS ** (1. / 1.2)) assert_array_almost_equal((h[0] - desired) / desired, 0)
[docs] @staticmethod def test_fixed_base_step(): desired = 0.1 step_gen = CStepGenerator(base_step=desired, num_steps=1, scale=2, offset=0) h = [h for h in step_gen(0)] assert_array_almost_equal((h[0] - desired) / desired, 0)
[docs]class TestLimit(object):
[docs] def test_sinx_div_x(self): def fun(x): return np.sin(x) / x for path in ['radial', 'spiral']: lim_f = Limit(fun, path=path, full_output=True) x = np.arange(-10, 10) / np.pi lim_f0, err = lim_f(x * np.pi) assert_array_almost_equal(lim_f0, np.sinc(x)) assert np.all(err.error_estimate < 1.0e-14)
[docs] def test_derivative_of_cos(self): x0 = np.pi / 2 def fun(x): return (np.cos(x0 + x) - np.cos(x0)) / x lim, err = Limit(fun, step=CStepGenerator(), full_output=True)(0) assert_allclose(lim, -1) assert err.error_estimate < 1e-14
[docs] def test_residue_1_div_1_minus_exp_x(self): def fun(z): return -z / (np.expm1(2 * z)) lim, err = Limit(fun, full_output=True)(0) assert_allclose(lim, -0.5) assert err.error_estimate < 1e-14
[docs] def test_difficult_limit(self): def fun(x): return (x * np.exp(x) - np.expm1(x)) / x ** 2 for path in ['radial', ]: lim, err = Limit(fun, path=path, full_output=True)(0) assert_allclose(lim, 0.5) assert err.error_estimate < 1e-8
[docs]class TestResidue(object):
[docs] def test_residue_1_div_1_minus_exp_x(self): def fun(z): return -1.0 / (np.expm1(2 * z)) res_h, err = Residue(fun, full_output=True)(0) assert_allclose(res_h, -0.5) assert err.error_estimate < 1e-14
[docs] def test_residue_1_div_sin_x2(self): def fun(z): return 1.0 / np.sin(z) ** 2 res_h, info = Residue(fun, full_output=True, pole_order=2)(np.pi) assert_allclose(res_h, 1) assert info.error_estimate < 1e-10