numdifftools.tests package¶

Submodules¶

numdifftools.tests.conftest module¶

Dummy conftest.py for git_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_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]¶

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]¶

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

potential(positionvector)[source]¶

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()¶

test_difficult_limit()¶

test_residue()¶

test_sinx_divx()¶

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()¶

test_arccos()¶

test_arcsin()¶

test_arg_c()¶

test_assign()¶

test_cos()¶

test_der_abs()¶

test_der_arccos()¶

test_der_arctan()¶

test_der_cos()¶

test_der_log()¶

test_division()¶

test_dot()¶

test_init()¶

test_multiplication()¶

test_neg()¶

test_pow()¶

test_repr()¶

test_rpow()¶

test_rsub()¶

test_sub()¶

test_subsref()¶

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()¶

Test for Issue 7

test_derivative_exp()¶

test_derivative_on_log()¶

test_derivative_on_sinh()¶

test_derivative_sin()¶

test_fun_with_additional_parameters()¶

Test for issue #9

test_high_order_derivative_cos()¶

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

Bases: unittest.case.TestCase

test_on_scalar_function()¶

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

Bases: unittest.case.TestCase

test_forward()¶

test_reverse()¶

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

Bases: unittest.case.TestCase

test_hessian_cosIx_yI_at_I0_0I()¶

test_run_hamiltonian()¶

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

Bases: unittest.case.TestCase

test_on_scalar_function()¶

test_on_vector_valued_function()¶

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

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]¶

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

potential(positionvector)[source]¶

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()¶

test_central_and_forward_derivative_on_log()¶

test_default_scale()¶

test_derivative_cube()¶

Test for Issue 7

test_derivative_exp()¶

test_derivative_of_cos_x()¶

test_derivative_sin()¶

test_fun_with_additional_parameters()¶

Test for issue #9

test_high_order_derivative_cos()¶

test_infinite_functions()¶

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

Bases: unittest.case.TestCase

test_weights()¶

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

Bases: unittest.case.TestCase

testdea3()¶

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

Bases: unittest.case.TestCase

testgradient()¶

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

Bases: unittest.case.TestCase

test_complex()¶

test_default_step()¶

test_fixed_step()¶

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

Bases: unittest.case.TestCase

test_hessian_cosIx_yI_at_I0_0I()¶

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

Bases: unittest.case.TestCase

testjacobian()¶

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

Bases: unittest.case.TestCase

test_central()¶

test_complex()¶

test_forward_backward()¶

test_order_step_combinations()¶

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

Bases: unittest.case.TestCase

test_default_base_step()¶

test_default_generator()¶

test_fixed_base_step()¶

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¶