Lines Matching refs:np

26 import numpy as np  namespace
138                     means_p = np.asarray(means_p).flatten()
139                     vars_p = np.asarray(vars_p).flatten()
196             sens = np.asarray([e[0] for e in measured_models[pidx]])
197             sens_sq = np.square(sens)
200             gains = np.asarray([s[0] for s in samples[pidx]])
201             means = np.asarray([s[1] for s in samples[pidx]])
202             vars_ = np.asarray([s[2] for s in samples[pidx]])
210             digital_gains = np.maximum(gains/sens_max_analog, 1)
211             assert np.all(digital_gains == 1)
229                 C_p*sens_sq + D_p*np.square(np.maximum(sens/sens_max_analog, 1))