numpy.rint(x[, out]) = Round elements of the array to the nearest integer.

numpy.sqrt(x[, out]) = Return the positive square-root of an array, element-wise.

numpy.log(x[, out]) = Natural logarithm, element-wise. The natural logarithm

numpy.clip(a, a_min, a_max, out=None)

numpy.exp(x[, out]) = Calculate the exponential of all elements in the input array.

numpy.unwrap(p, discont=3.141592653589793, axis=-1)

numpy.arcsinh(x[, out]) = Inverse hyperbolic sine element-wise.

numpy.square(x[, out]) = Return the element-wise square of the input.

numpy.log1p(x[, out]) = Return the natural logarithm of one plus the input array, element-wise. Calculates log(1 + x)

numpy.log2(x[, out]) = Base-2 logarithm of x.