Regen references files with hdf5 v3; Set the seeds

bob/bio/gmm/test/test_gmm.py

@@ -95,7 +95,7 @@ def test_projector():
     )
 
     # Generate and project random feature
-    feature = utils.random_array((20, 45), -5.0, 5.0, seed=84)
+    feature = utils.random_array((20, 45), -5.0, 5.0, seed=seed_value)
     projected = gmm1.project(feature)
     assert isinstance(projected, bob.learn.em.mixture.GMMStats)
 
@@ -120,7 +120,7 @@ def test_enroll():
     )
     gmm1.ubm = ubm
     # Enroll the biometric reference from random features
-    enroll = utils.random_training_set((20, 45), 5, -5.0, 5.0, seed=21)
+    enroll = utils.random_training_set((20, 45), 5, -5.0, 5.0, seed=seed_value)
     biometric_reference = gmm1.enroll(enroll)
     assert not biometric_reference.is_similar_to(biometric_reference.ubm)
     assert isinstance(biometric_reference, GMMMachine)
@@ -153,9 +153,9 @@ def test_score():
     probe = GMMStats.from_hdf5(
         pkg_resources.resource_filename("bob.bio.gmm.test", "data/gmm_projected.hdf5")
     )
-    probe_data = utils.random_array((20, 45), -5.0, 5.0, seed=84)
+    probe_data = utils.random_array((20, 45), -5.0, 5.0, seed=seed_value)
 
-    reference_score = -0.098980
+    reference_score = 0.593373
 
     numpy.testing.assert_almost_equal(
         gmm1.score(biometric_reference, probe), reference_score, decimal=5