test_ionization

Complexity

Total Complexity

6

Size/Duplication

Total Lines	126
Duplicated Lines	64.29 %

Importance

Changes

0

6 Functions

Rating	Name	Duplication	Size	Complexity
A	test_endiss_3d()	19	17	1
A	test_endiss()	18	18	1
A	test_endiss_transposed()	17	17	1
A	test_ssusi_ioniz()	2	11	1
A	test_endiss_3d_transposed()	19	17	1
A	test_endiss_scalar()	0	18	1

# -*- coding: utf-8 -*-
import numpy as np
import pytest

import eppaurora as aur

EDISS_FUNCS_EXPECTED = [
	(aur.rr1987, 4.51517584e-07),
	(aur.rr1987_mod, 4.75296602e-07),
	(aur.fang2008, 4.44256875e-07),
	(aur.fang2010_mono, 1.96516057e-007),
	(aur.fang2010_maxw_int, 4.41340659e-07),
	(aur.fang2013_protons, 4.09444686e-22),
	(aur.berger1974, 1.18682805e-12),
]


@pytest.mark.parametrize(

This code seems to be duplicated in your project.

	"edissfunc, expected",
	EDISS_FUNCS_EXPECTED,
)
def test_endiss(edissfunc, expected):
	energies = np.logspace(-1, 2, 4)
	fluxes = np.ones_like(energies)
	# ca. 100, 150, 200 km
	scale_heights = np.array([6e5, 27e5, 40e5])
	rhos = np.array([5e-10, 1.7e-12, 2.6e-13])
	# energy dissipation "profiles"
	ediss = edissfunc(
		energies[None, :], fluxes[None, :],
		scale_heights[:, None], rhos[:, None]
	)
	assert ediss.shape == (3, 4)
	np.testing.assert_allclose(ediss[0, 2], expected)
	return


@pytest.mark.parametrize(
	"edissfunc, expected",
	EDISS_FUNCS_EXPECTED,
)
def test_endiss_scalar(edissfunc, expected):
	energies = 10.
	fluxes = 1.
	# ca. 100, 150, 200 km
	scale_heights = np.array([6e5, 27e5, 40e5])
	rhos = np.array([5e-10, 1.7e-12, 2.6e-13])
	# energy dissipation "profiles"
	ediss = edissfunc(
		energies, fluxes,
		scale_heights[:, None], rhos[:, None]
	)
	assert ediss.shape == (3, 1)
	np.testing.assert_allclose(ediss[0, 0], expected)
	return


@pytest.mark.parametrize(

This code seems to be duplicated in your project.

	"edissfunc, expected",
	EDISS_FUNCS_EXPECTED,
)
def test_endiss_transposed(edissfunc, expected):
	energies = np.logspace(-1, 2, 4)
	fluxes = np.ones_like(energies)
	# ca. 100, 150, 200 km
	scale_heights = np.array([6e5, 27e5, 40e5])
	rhos = np.array([5e-10, 1.7e-12, 2.6e-13])
	ediss = edissfunc(
		energies[:, None], fluxes[:, None],
		scale_heights[None, :], rhos[None, :]
	)
	assert ediss.shape == (4, 3)
	np.testing.assert_allclose(ediss[2, 0], expected)
	return


@pytest.mark.parametrize(

This code seems to be duplicated in your project.

	"edissfunc, expected",
	EDISS_FUNCS_EXPECTED,
)
def test_endiss_3d(edissfunc, expected):
	energies = np.logspace(-1, 2, 4)
	fluxes = np.ones_like(energies)
	# ca. 100, 150, 200 km
	scale_heights = np.array([6e5, 27e5, 40e5])
	rhos = np.array([5e-10, 1.7e-12, 2.6e-13])
	ediss = edissfunc(
		energies[None, None, :], fluxes[None, None, :],
		scale_heights[:, None, None], rhos[:, None, None]
	)
	assert ediss.shape == (3, 1, 4)
	np.testing.assert_allclose(ediss[0, 0, 2], expected)
	return


@pytest.mark.parametrize(

This code seems to be duplicated in your project.

	"edissfunc, expected",
	EDISS_FUNCS_EXPECTED,
)
def test_endiss_3d_transposed(edissfunc, expected):
	energies = np.logspace(-1, 2, 4)
	fluxes = np.ones_like(energies)
	# ca. 100, 150, 200 km
	scale_heights = np.array([6e5, 27e5, 40e5])
	rhos = np.array([5e-10, 1.7e-12, 2.6e-13])
	ediss = edissfunc(
		energies[None, :, None], fluxes[None, :, None],
		scale_heights[:, None, None], rhos[:, None, None]
	)
	assert ediss.shape == (3, 4, 1)
	np.testing.assert_allclose(ediss[0, 2, 0], expected)
	return


def test_ssusi_ioniz():
	energies = np.logspace(-1, 2, 4)
	fluxes = np.ones_like(energies)
	z = np.array([100, 120, 150])
	# energy dissipation "profiles"
	ediss = aur.ssusi_ioniz(
		z[:, None],
		energies[None, :], fluxes[None, :],
	)
	assert ediss.shape == (3, 4)
	return