SciPy 2.0.0.dev0+git20261108.c9073e6 | NumPy 2.6.0.dev0+git20261107.80049a0 | Python 3.13.18 | Linux-6.18.44-fc-v338-x86_64-with-glibc2.39
df=3    nc=10     x=-4.0    nctdtr=np.float64(nan)            nct.cdf=np.float64(nan)
df=5    nc=10     x=-4.0    nctdtr=np.float64(nan)            nct.cdf=np.float64(nan)
df=5    nc=10     x=-2.0    nctdtr=np.float64(nan)            nct.cdf=np.float64(nan)
df=30   nc=6      x=-4.0    nctdtr=np.float64(nan)            nct.cdf=np.float64(nan)
df=100  nc=6      x=-4.0    nctdtr=np.float64(nan)            nct.cdf=np.float64(nan)
df=4    nc=12.25  x=-2.776  nctdtr=np.float64(nan)            nct.cdf=np.float64(nan)
two-sided power = nan