3.1.2.17. opengate.helpers_tests

3.1.2.17.1. Module Contents

3.1.2.17.1.1. Functions

test_ok([is_ok])
delete_run_manager_if_needed(sim)
read_stat_file(filename)
print_test(b, s)
assert_stats(stat1, stat2[, tolerance, is_ok])
plot_img_axis(ax, img, label[, axis])
plot_img_z(ax, img, label)
plot_img_y(ax, img, label)
plot_img_x(ax, img, label)
assert_images(ref_filename1, filename2[, stats, ...])
exponential_func(x, a, b)
Gauss(x, A, x0, sigma)
fit_exponential_decay(data, start, end)
get_new_key_name(key)
get_keys_correspondence(keys)
rel_diff(a, b)
rel_diff_range(a, b)
get_branch(tree, keys, key)	Return a branch whether it is a numpy or a uproot tree
compare_branches(tree1, keys1, tree2, keys2, key1, key2)	Compare with Wasserstein distance
compare_branches_values(b1, b2, key1, key2[, tol, ax, ...])	Compare with Wasserstein distance
compare_trees(tree1, allkeys1, tree2, allkeys2, keys1, ...)
get_default_test_paths(f[, gate_folder])
compare_root2(root1, root2, branch1, branch2, keys, ...)
compare_root(root1, root2, branch1, branch2, ...)
compare_root3(root1, root2, branch1, branch2, keys1, ...)
dict_compare(d1, d2)
write_gauss_param_to_file(outputdir, planePositionsV)
get_gauss_param_xy(data, spacing, shape[, filepath, ...])
extract_gauss_param_1D(data, length, spacing[, axis, ...])
plot_gauss_fit(positionVec, dose, fit[, show])
create_position_vector(length, spacing)
Gauss(x, A, x0, sigma)
gaussian_fit(positionVec, dose)
read_mhd(filename)
create_2D_Edep_colorMap(filepath[, show])
compareGaussParamFromFile(sigma, ref[, rel_tol, ...])
compareGaussParamArrays(paramTestV, paramRefV[, ...])
test_weights(expected_ratio, mhd_1, mhd_2[, thresh])

opengate.helpers_tests.test_ok(is_ok=False)

opengate.helpers_tests.delete_run_manager_if_needed(sim)

opengate.helpers_tests.read_stat_file(filename)

opengate.helpers_tests.print_test(b, s)

opengate.helpers_tests.assert_stats(stat1, stat2, tolerance=0, is_ok=True)

opengate.helpers_tests.plot_img_axis(ax, img, label, axis='z')

opengate.helpers_tests.plot_img_z(ax, img, label)

opengate.helpers_tests.plot_img_y(ax, img, label)

opengate.helpers_tests.plot_img_x(ax, img, label)

opengate.helpers_tests.assert_images(ref_filename1, filename2, stats=None, tolerance=0, ignore_value=0, axis='z', fig_name=None, sum_tolerance=5)

opengate.helpers_tests.exponential_func(x, a, b)

opengate.helpers_tests.Gauss(x, A, x0, sigma)

opengate.helpers_tests.fit_exponential_decay(data, start, end)

opengate.helpers_tests.get_new_key_name(key)

opengate.helpers_tests.get_keys_correspondence(keys)

opengate.helpers_tests.rel_diff(a, b)

opengate.helpers_tests.rel_diff_range(a, b)

opengate.helpers_tests.get_branch(tree, keys, key)

Return a branch whether it is a numpy or a uproot tree

opengate.helpers_tests.compare_branches(tree1, keys1, tree2, keys2, key1, key2, tol=0.8, scaling1=1, scaling2=1, ax=False, nb_bins=200)

Compare with Wasserstein distance Works well, but not easy to set the tolerance value.

opengate.helpers_tests.compare_branches_values(b1, b2, key1, key2, tol=0.8, ax=False, nb_bins=200)

Compare with Wasserstein distance Works well, but not easy to set the tolerance value.

opengate.helpers_tests.compare_trees(tree1, allkeys1, tree2, allkeys2, keys1, keys2, tols, scalings1, scalings2, fig=False, nb_bins=200)

opengate.helpers_tests.get_default_test_paths(f, gate_folder=None)

opengate.helpers_tests.compare_root2(root1, root2, branch1, branch2, keys, img_filename, n_tol=3)

opengate.helpers_tests.compare_root(root1, root2, branch1, branch2, checked_keys, img)

opengate.helpers_tests.compare_root3(root1, root2, branch1, branch2, keys1, keys2, tols, scalings1, scalings2, img, hits_tol=6, nb_bins=200)

opengate.helpers_tests.dict_compare(d1, d2)

opengate.helpers_tests.write_gauss_param_to_file(outputdir, planePositionsV, saveFig=False, fNamePrefix='plane', fNameSuffix='a.mhd')

opengate.helpers_tests.get_gauss_param_xy(data, spacing, shape, filepath=None, saveFig=False)

opengate.helpers_tests.extract_gauss_param_1D(data, length, spacing, axis=1, createFig=False)

opengate.helpers_tests.plot_gauss_fit(positionVec, dose, fit, show=False)

opengate.helpers_tests.create_position_vector(length, spacing)

opengate.helpers_tests.Gauss(x, A, x0, sigma)

opengate.helpers_tests.gaussian_fit(positionVec, dose)

opengate.helpers_tests.read_mhd(filename)

opengate.helpers_tests.create_2D_Edep_colorMap(filepath, show=False)

opengate.helpers_tests.compareGaussParamFromFile(sigma, ref, rel_tol=0, abs_tol=0, verb=False)

opengate.helpers_tests.compareGaussParamArrays(paramTestV, paramRefV, rel_tol=0, abs_tol=0, verb=False)

opengate.helpers_tests.test_weights(expected_ratio, mhd_1, mhd_2, thresh=0.1)