Lines Matching refs:np
17 import numpy as np namespace
109 r = np.append([ 3 ], np.zeros(8))
113 c = [ np.dot(x[S[s]:S[s+1]-k], x[S[s]+k:S[s+1]])
116 r[k] = np.sum( np.array(c) / np.array(e) )
118 r *= np.exp(-0.5 * (0.02 * np.pi * np.arange(9)) ** 2)
123 a = np.ones(len(r))
139 return a * np.power(gamma, np.arange(len(a)))
143 rc = np.zeros(8)
155 delta = np.pi / 17
156 rc_i = np.rint(np.arcsin(rc) / delta).astype(int) + 8
157 rc_q = np.sin(delta * (rc_i - 8))
159 rc_order = len(rc_i) - np.argmin(rc_i[::-1] == 8)
165 y = np.empty(len(x))
185 fstate = np.zeros(8)
190 self.rc_order = np.zeros(2, dtype=np.int)
191 self.rc = np.zeros((2, 8), dtype=np.int)
262 self.rc_order = np.zeros(2, dtype=np.int)
263 self.rc = 8 * np.ones((2, 8), dtype=np.int)
282 fstate = np.zeros(8)
288 rc = np.sin((np.pi / 17) * (self.rc[f] - 8))
326 ok = ok and not np.any((rc_c - analysis.rc[f])[:rc_order])
329 ok = ok and np.amax(np.abs(y_c - y)) < 1e-2
349 ok = ok and np.amax(np.abs(y_c - y) < 1e-6)
360 st = np.zeros(8)
365 ok = ok and np.amax(np.abs(a[0] - C.TNS_LEV_A[dt][i])) < 1e-5
368 ok = ok and np.amax(np.abs(rc - C.TNS_LEV_RC[dt][i])) < 1e-5
372 ok = ok and np.any((rc_i + 8) - C.RC_I_1[dt][i] == 0)
375 ok = ok and np.amax(np.abs(rc_q - C.RC_Q_1[dt][i])) < 1e-6
380 ok = ok and not np.any((side['rc'][0] + 8) - C.RC_I_1[dt][i])
382 ok = ok and np.amax(np.abs(x - C.X_F[dt][i])) < 1e-3
404 ok = ok and np.amax(np.abs(x - C.X_HAT_TNS[dt][i])) < 1e-3
420 ok = ok and np.amax(np.abs(x - C.X_HAT_TNS_48K_10M)) < 1e-3
426 rng = np.random.default_rng(1234)