def test_global_reconstruction_error_large_to_small(self):
# tests that the GRE of a large set of features onto a smaller set of features returns within a threshold of zero
gfre_val = global_reconstruction_error(self.features_large, self.features_small)
self.assertTrue(
abs(gfre_val) < self.eps,
f"global_reconstruction_error {gfre_val} surpasses threshold for zero {self.eps}",
)
def test_global_reconstruction_error_identity(self):
gfre_val = global_reconstruction_error(self.features_large,
self.features_large)
self.assertTrue(
abs(gfre_val) < self.eps,
f"global_reconstruction_error {gfre_val} surpasses threshold for zero {self.eps}",
)
def test_global_reconstruction_distortion_large_to_small(self):
# tests that the GRD of a large set of features onto a smaller set of features returns within a threshold of zero
# should just run
global_reconstruction_error(self.features_large, self.features_small)