24 def imToReal2D(a):  argument
33 def normalize(a):  argument
42 a=np.array([1.,-3.,4.,0.,-10.,8.])  variable
54 a = a / i[0]  variable
71 a=np.array([1.,-3.,4.,0.5,-10.,8.])  variable
85 a = a / i[0]  variable
103 a=np.array([1.,-3.,4.,0.5,-10.,8.])  variable
112 a = a / i[0]  variable
130 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])  variable
140 a=a/normalizationFactor  variable
157 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])  variable
167 a = a / normalizationFactor  variable
207 a=np.array([[1.,2,3,4],[5,6,7,8],[9,10,11,12]])  variable
209 a = a / normalizationFactor  variable
233 a=np.full((nb,),v)  variable
236 a=dsp.arm_fill_f32(v,nb)  variable
239 a=f.Q31toF32(dsp.arm_fill_q31(f.toQ31(v),nb))  variable
242 a=f.Q15toF32(dsp.arm_fill_q15(f.toQ15(v),nb))  variable
245 a=f.Q7toF32(dsp.arm_fill_q7(f.toQ7(v),nb))  variable
251 a=np.array([[1. + 0.0j ,2 + 1.0j,3 + 0.0j,4 + 2.0j],  variable
255 a = a / normalizationFactor  variable
410 a=[2.0*Quaternion.random() for x in range(NBSAMPLES)]  variable
438 a=[x.normalised for x in a]  variable
453 a=[2.0*Quaternion.random() for x in range(NBSAMPLES)]  variable