Lines Matching +full:- +full:e

42     e = 0
46         e = 1.0 / (1<<31)
50         e = 1.0 / (1<<15)
54         e = 1.0 / (1<<7)
62            return(-1.0,0)
72     if abs(a/b) > 1 - e:
81         vals=np.linspace(np.float_power(2,-15),1.0,num=125)
83         vals=np.linspace(np.float_power(2,-10),1.0,num=125)
85         vals=np.linspace(np.float_power(2,-31),1.0,num=125)
106     a1=np.array([0,math.pi/4,math.pi/2,3*math.pi/4,math.pi,5*math.pi/4,3*math.pi/2,2*math.pi-1e-6])
107 …a2=np.array([-math.pi/4,-math.pi/2,-3*math.pi/4,-math.pi,-5*math.pi/4,-3*math.pi/2,-2*math.pi-1e-6…
118     vals[0] = -0.4
138     numerator=np.linspace(-0.9,0.9)
139     numerator=np.hstack([numerator,np.array([-1.0,1.0])])
140     denominator=np.linspace(-0.9,0.9)
141     denominator=np.hstack([denominator,np.array([-1.0,1.0])])
197           theInput=np.array([1.0-1e-6,0.6,0.5,0.3,0.25,0.1,1.0/(1<<31)])
200           theInput=np.array([1.0-1e-6,0.6,0.5,0.3,0.25,0.1,1.0/(1<<15)])
226         sign = -1 
246     norms=[-30,-1,1,0]
254     (-0x7FFFFFFFFFFFFFFF-1,2),
256     ( -0x4000000000000000,0x7FFFFFFF),
258     ( -0x2000000000000000,0x7FFFFFFF),
260     ( -0x1000000000000000,0x7FFFFFFF),
262     ( -0x0000000080000000,2),
264     ( -0x0000000080000000,2)
283     data1 = data1 + 1e-3 # To avoid zero values
287     samples=np.concatenate((np.array([0.0,1.0]),np.linspace(-0.4,0.4)))