@@ -259,10 +259,6 @@ def __init__(self, dyn0, T0, supercell = None, **kwargs):
259259 self .supercell_structure = super_struct
260260 self .itau = itau + 1
261261
262- # To avoid to recompute each time the same variables store something usefull here
263- self .q_start = np .zeros ( (self .N , Nsc * 3 ))
264- self .current_q = np .zeros ( (self .N , Nsc * 3 ))
265-
266262 self .q_opposite_index = None
267263
268264 # Store also the displacements
@@ -733,11 +729,6 @@ def load(self, data_dir, population, N, verbose = False, load_displacements = Tr
733729 self .rho = np .ones (self .N , dtype = np .float64 )
734730
735731
736- t1 = time .time ()
737- #self.q_start = CC.Manipulate.GetQ_vectors(self.structures, dyn_supercell, self.u_disps)
738- t2 = time .time ()
739- #self.current_q = self.q_start.copy()
740-
741732 p_count = np .sum (self .stress_computed .astype (int ))
742733 if p_count > 0 :
743734 self .has_stress = True
@@ -856,11 +847,6 @@ def load_from_calculator_output(self, directory, out_ext = ".pwo", timer=None):
856847
857848 self .rho = np .ones (self .N , dtype = np .float64 )
858849
859- t1 = time .time ()
860- # self.q_start = CC.Manipulate.GetQ_vectors(self.structures, dyn_supercell, self.u_disps)
861- t2 = time .time ()
862- # self.current_q = self.q_start.copy()
863-
864850 if count_stress == self .N :
865851 self .has_stress = True
866852 else :
@@ -1821,21 +1807,13 @@ def update_weights_fourier(self, new_dynamical_matrix, newT, timer=None):
18211807
18221808
18231809
1824- # Convert the q vectors in the Hartree units
1825- #old_q = self.q_start * np.sqrt(np.float64(2)) * __A_TO_BOHR__
1826- #new_q = self.current_q * np.sqrt(np.float64(2)) * __A_TO_BOHR__
1827-
1828-
1829- #t1 = time.time()
1830- #self.rho = SCHAModules.stochastic.get_gaussian_weight(new_q, old_q, new_a, old_a)
1831- #t2 = time.time()
1832-
18331810 if __DEBUG_RHO__ :
18341811 print ( " ==== [UPDATE RHO DEBUGGING] ==== " )
18351812 print ( " INPUT INFO: " )
18361813 np .savetxt ("rho_%05d.dat" % self .__debug_index__ , self .rho )
18371814 print ( " rho saved in " , "rho_%05d.dat" % self .__debug_index__ )
18381815
1816+
18391817 # Get the two covariance matrix
18401818 t1 = time .time ()
18411819 Y_qspace_new = julia .Main .get_upsilon_fourier (
@@ -2044,15 +2022,6 @@ def update_weights(self, new_dynamical_matrix, newT, update_q = False, timer=Non
20442022
20452023
20462024
2047- # Convert the q vectors in the Hartree units
2048- #old_q = self.q_start * np.sqrt(np.float64(2)) * __A_TO_BOHR__
2049- #new_q = self.current_q * np.sqrt(np.float64(2)) * __A_TO_BOHR__
2050-
2051-
2052- #t1 = time.time()
2053- #self.rho = SCHAModules.stochastic.get_gaussian_weight(new_q, old_q, new_a, old_a)
2054- #t2 = time.time()
2055-
20562025 if __DEBUG_RHO__ :
20572026 print ( " ==== [UPDATE RHO DEBUGGING] ==== " )
20582027 print ( " INPUT INFO: " )
@@ -3145,9 +3114,6 @@ def get_average_stress(self):
31453114
31463115# #n_modes = len(w)
31473116
3148- # # Convert the q vector into Ha units
3149- # q_new = np.array(self.current_q, dtype = np.float64) * np.sqrt(2) * __A_TO_BOHR__
3150-
31513117# # Get the ityp variable
31523118# #ityp = self.current_dyn.structure.get_atomic_types()
31533119
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