numdifftools.tests package¶

Submodules¶

numdifftools.tests.conftest module¶

Dummy conftest.py for numdifftools.

If you don’t know what this is for, just leave it empty. Read more about conftest.py under: https://pytest.org/latest/plugins.html

numdifftools.tests.test_extrapolation module¶

class numdifftools.tests.test_extrapolation.TestExtrapolation(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

setUp()[source]¶

test_dea3_on_trapz_sin()[source]¶

test_dea_on_trapz_sin()[source]¶

test_richardson()[source]¶

class numdifftools.tests.test_extrapolation.TestRichardson(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_order_step_combinations()[source]¶

numdifftools.tests.test_hessian module¶

class numdifftools.tests.test_hessian.TestHessian(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_hessian()[source]¶

class numdifftools.tests.test_hessian.classicalHamiltonian[source]¶

Bases: object

Hamiltonian

Parameters:	N : scalar number of ions in the chain w : scalar angular trap frequency C : scalar Coulomb constant times the electronic charge in SI units. m : scalar the mass of a single trapped ion in the chain

initialposition()[source]¶

Defines initial position as an estimate for the minimize process.

normal_modes(eigenvalues)[source]¶

Return normal modes

the computed eigenvalues of the matrix Vx are of the form (normal_modes)2*m.

potential(positionvector)[source]¶

Return potential

positionvector is an 1-d array (vector) of length N that contains the positions of the N ions

numdifftools.tests.test_limits module¶

Created on 28. aug. 2015

@author: pab

class numdifftools.tests.test_limits.TestLimit(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_derivative_of_cos()[source]¶

test_difficult_limit()[source]¶

test_residue()[source]¶

test_sinx_divx()[source]¶

numdifftools.tests.test_multicomplex module¶

Created on 22. apr. 2015

@author: pab

class numdifftools.tests.test_multicomplex.BicomplexTester(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_add()[source]¶

test_arccos()[source]¶

test_arcsin()[source]¶

test_arg_c()[source]¶

test_assign()[source]¶

test_conjugate()[source]¶

test_cos()[source]¶

test_der_abs()[source]¶

test_der_arccos()[source]¶

test_der_arccosh()[source]¶

test_der_arctan()[source]¶

test_der_cos()[source]¶

test_der_log()[source]¶

test_division()[source]¶

test_dot()[source]¶

test_eq()[source]¶

test_flat()[source]¶

test_ge()[source]¶

test_gt()[source]¶

test_init()[source]¶

test_le()[source]¶

test_lt()[source]¶

test_multiplication()[source]¶

test_neg()[source]¶

test_norm()[source]¶

test_pow()[source]¶

test_repr()[source]¶

test_rpow()[source]¶

test_rsub()[source]¶

test_shape()[source]¶

test_sub()[source]¶

test_subsref()[source]¶

class numdifftools.tests.test_multicomplex.DerivativeTester(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_all_first_derivatives()[source]¶

test_all_second_derivatives()[source]¶

numdifftools.tests.test_nd_algopy module¶

class numdifftools.tests.test_nd_algopy.TestDerivative(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_derivative_cube()[source]¶

Test for Issue 7

test_derivative_exp()[source]¶

test_derivative_on_log()[source]¶

test_derivative_on_sinh()[source]¶

test_derivative_sin()[source]¶

test_fun_with_additional_parameters()[source]¶

Test for issue #9

test_high_order_derivative_cos()[source]¶

class numdifftools.tests.test_nd_algopy.TestGradient(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_on_scalar_function()[source]¶

class numdifftools.tests.test_nd_algopy.TestHessdiag(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_forward()[source]¶

test_reverse()[source]¶

class numdifftools.tests.test_nd_algopy.TestHessian(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_hessian_cosIx_yI_at_I0_0I()[source]¶

test_run_hamiltonian()[source]¶

class numdifftools.tests.test_nd_algopy.TestJacobian(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_on_scalar_function()[source]¶

test_on_vector_valued_function()[source]¶

class numdifftools.tests.test_nd_algopy.classicalHamiltonian[source]¶

Bases: object

Hamiltonian

Parameters:	N : scalar number of ions in the chain w : scalar angular trap frequency C : scalar Coulomb constant times the electronic charge in SI units. m : scalar the mass of a single trapped ion in the chain

initialposition()[source]¶

Defines initial position as an estimate for the minimize process.

normal_modes(eigenvalues)[source]¶

Return normal modes

Computed eigenvalues of the matrix Vx are of the form

(normal_modes)**2*m.

potential(positionvector)[source]¶

Return potential

positionvector is an 1-d array (vector) of length N that contains the positions of the N ions

numdifftools.tests.test_numdifftools module¶

Test functions for numdifftools module

class numdifftools.tests.test_numdifftools.TestDerivative(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_backward_derivative_on_sinh()[source]¶

test_central_and_forward_derivative_on_log()[source]¶

test_default_scale()[source]¶

test_derivative_cube()[source]¶

Test for Issue 7

test_derivative_exp()[source]¶

test_derivative_of_cos_x()[source]¶

test_derivative_sin()[source]¶

test_fun_with_additional_parameters()[source]¶

Test for issue #9

test_high_order_derivative_cos()[source]¶

test_infinite_functions()[source]¶

class numdifftools.tests.test_numdifftools.TestFornbergWeights(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_weights()[source]¶

class numdifftools.tests.test_numdifftools.TestGlobalFunctions(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

testdea3()[source]¶

class numdifftools.tests.test_numdifftools.TestGradient(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

testgradient()[source]¶

class numdifftools.tests.test_numdifftools.TestHessdiag(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_complex()[source]¶

test_default_step()[source]¶

test_fixed_step()[source]¶

class numdifftools.tests.test_numdifftools.TestHessian(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_hessian_cosIx_yI_at_I0_0I()[source]¶

class numdifftools.tests.test_numdifftools.TestJacobian(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

testjacobian()[source]¶

class numdifftools.tests.test_numdifftools.TestRichardson(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_central()[source]¶

test_complex()[source]¶

test_forward_backward()[source]¶

class numdifftools.tests.test_numdifftools.TestStepGenerator(methodName='runTest')[source]¶

Bases: unittest.case.TestCase

test_default_base_step()[source]¶

test_default_generator()[source]¶

test_fixed_base_step()[source]¶

numdifftools.tests.test_numdifftools_docstrings module¶

numdifftools.tests.test_numdifftools_docstrings.load_tests(loader=None, tests=None, ignore=None)[source]¶

numdifftools.tests.test_numdifftools_docstrings.suite()[source]¶

Module contents¶