p=3.5 k=1 signs=[1] best ratio=0.999998338778 sigma2=1 atoms(c,lam)=[(np.float64(1000.0), np.float64(0.0))] A=0.03162
p=3.5 k=2 signs=[1, 1] best ratio=0.999998338778 sigma2=1 atoms(c,lam)=[(np.float64(0.1994), np.float64(0.0)), (np.float64(1000.0), np.float64(0.0))] A=0.03162
p=3.5 k=2 signs=[1, -1] best ratio=0.999998338778 sigma2=1 atoms(c,lam)=[(np.float64(1.685), np.float64(0.0)), (np.float64(-1000.0), np.float64(0.0))] A=0.03162
p=3.5 k=3 signs=[1, 1, -1] best ratio=0.999998338778 sigma2=1 atoms(c,lam)=[(np.float64(1000.0), np.float64(0.0)), (np.float64(0.0), np.float64(0.88332)), (np.float64(-4.1128), np.float64(0.0))] A=0.03162
numerics/killer_search2.py:31: RuntimeWarning: overflow encountered in scalar power
  lam = w[j + 1] / cj ** 2
numerics/killer_search2.py:22: RuntimeWarning: overflow encountered in exp
  return w, np.exp(logc)
p=3.5 k=3 signs=[1, -1, -1] best ratio=0.999998338778 sigma2=1 atoms(c,lam)=[(np.float64(1000.0), np.float64(0.0)), (np.float64(-0.0603), np.float64(0.0)), (np.float64(-0.0013), np.float64(0.0))] A=0.03162
