def standard_normal(shape=[]):
"""standard_normal(n) or standard_normal([n, m, ...]) returns array of
random numbers normally distributed with mean 0 and standard
deviation 1"""
if shape == []:
shape = None
return mt.standard_normal(shape)
def standard_normal(shape=[]):
"""standard_normal(n) or standard_normal([n, m, ...]) returns array of
random numbers normally distributed with mean 0 and standard
deviation 1"""
if shape == []:
shape = None
return mt.standard_normal(shape)
def add_fuzz(p, step):
return np.array(p) + fz_per_step * step * nrm.standard_normal(2)
