diff --git a/python/damask/_rotation.py b/python/damask/_rotation.py index 06f87abc5..f93b3b012 100644 --- a/python/damask/_rotation.py +++ b/python/damask/_rotation.py @@ -1581,19 +1581,13 @@ class Rotation: @staticmethod def _ho2ax(ho: np.ndarray) -> np.ndarray: """Homochoric vector to axis–angle pair.""" - tfit = np.array([ - 0.9999999999999968E0, -0.49999999999986866E0, - -0.025000000000632055E0, -0.003928571496460683E0, - -0.0008164666077062752E0, -0.00019411896443261646E0, - -0.00004985822229871769E0, -0.000014164962366386031E0, - -1.9000248160936107E-6, -5.72184549898506E-6, - 7.772149920658778E-6, -0.00001053483452909705E0, - 9.528014229335313E-6, -5.660288876265125E-6, - 1.2844901692764126E-6, 1.1255185726258763E-6, - -1.3834391419956455E-6, 7.513691751164847E-7, - -2.401996891720091E-7, 4.386887017466388E-8, - -3.5917775353564864E-9, - ]) + tfit = np.array([+0.9999999999999968, -0.49999999999986866, -0.025000000000632055, + -0.003928571496460683, -0.0008164666077062752, -0.00019411896443261646, + -0.00004985822229871769, -0.000014164962366386031, -1.9000248160936107e-6, + -5.72184549898506e-6, +7.772149920658778e-6, -0.00001053483452909705, + +9.528014229335313e-6, -5.660288876265125e-6, +1.2844901692764126e-6, + +1.1255185726258763e-6, -1.3834391419956455e-6, +7.513691751164847e-7, + -2.401996891720091e-7, +4.386887017466388e-8, -3.5917775353564864e-9]) hmag_squared = np.sum(ho**2.,axis=-1,keepdims=True) s = np.sum(tfit*hmag_squared**np.arange(len(tfit)),axis=-1,keepdims=True) with np.errstate(invalid='ignore'): diff --git a/python/tests/test_Rotation.py b/python/tests/test_Rotation.py index c9dfc68b8..8b1bd0de8 100644 --- a/python/tests/test_Rotation.py +++ b/python/tests/test_Rotation.py @@ -301,14 +301,13 @@ def ro2ho(ro): #---------- Homochoric vector---------- def ho2ax(ho): """Homochoric vector to axis angle pair.""" - tfit = np.array([+1.0000000000018852, -0.5000000002194847, - -0.024999992127593126, -0.003928701544781374, - -0.0008152701535450438, -0.0002009500426119712, - -0.00002397986776071756, -0.00008202868926605841, - +0.00012448715042090092, -0.0001749114214822577, - +0.0001703481934140054, -0.00012062065004116828, - +0.000059719705868660826, -0.00001980756723965647, - +0.000003953714684212874, -0.00000036555001439719544]) + tfit = np.array([+0.9999999999999968, -0.49999999999986866, -0.025000000000632055, + -0.003928571496460683, -0.0008164666077062752, -0.00019411896443261646, + -0.00004985822229871769, -0.000014164962366386031, -1.9000248160936107e-6, + -5.72184549898506e-6, +7.772149920658778e-6, -0.00001053483452909705, + +9.528014229335313e-6, -5.660288876265125e-6, +1.2844901692764126e-6, + +1.1255185726258763e-6, -1.3834391419956455e-6, +7.513691751164847e-7, + -2.401996891720091e-7, +4.386887017466388e-8, -3.5917775353564864e-9]) # normalize h and store the magnitude hmag_squared = np.sum(ho**2.) if iszero(hmag_squared):