scipy’s special module defines several functions that behave as do the standard mathematical functions of the numpy, i.e., they can be called on any scalar, scalar-valued iterable (ranges, lists, tuples containing numbers), and on ndarrays without having to change the call signature. In all cases the functions return a new ndarray of typecode float (since these functions usually generate float values, anyway).
At present, ulab’s special module contains the following functions:
erf, erfc, gamma, and gammaln, and they can be called by prepending them by scipy.special..
# code to be run in micropython
from ulab import numpy as np
from ulab import scipy as spy
a = range(9)
b = np.array(a)
print('a: ', a)
print(spy.special.erf(a))
print('\nb: ', b)
print(spy.special.erfc(b))
a: range(0, 9) array([0.0, 0.8427007929497149, 0.9953222650189527, 0.9999779095030014, 0.9999999845827421, 1.0, 1.0, 1.0, 1.0], dtype=float64) b: array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], dtype=float64) array([1.0, 0.1572992070502851, 0.004677734981047265, 2.209049699858544e-05, 1.541725790028002e-08, 1.537459794428035e-12, 2.151973671249892e-17, 4.183825607779414e-23, 1.122429717298293e-29], dtype=float64)
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