simpeg.electromagnetics.static.self_potential.CurrentDensityMap.test#
- CurrentDensityMap.test(m=None, num=4, random_seed=None, **kwargs)[source]#
Derivative test for the mapping.
This test validates the mapping by performing a convergence test.
- Parameters:
- m(
nP)numpy.ndarray Starting vector of model parameters for the derivative test
- num
int Number of iterations for the derivative test
- random_seed
NoneorRandomSeed,optional Random seed used for generating a random array for
mif it’s None. It can either be an int, a predefined Numpy random number generator, or any valid input tonumpy.random.default_rng.- kwargs: dict
Keyword arguments and associated values in the dictionary must match those used in
discretize.tests.check_derivative()
- m(
- Returns:
- bool
Returns
Trueif the test passes