numpy.logaddexp2(x1, x2[, out]) = Logarithm of the sum of exponentiations of the inputs in base-2. Calculates log2(2**x1

numpy.nan_to_num(x)

numpy.tanh(x[, out]) = Compute hyperbolic tangent element-wise. Equivalent to np.sinh(x)/np.cosh(x) or -1j

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

numpy.cosh(x[, out]) = Hyperbolic cosine, element-wise. Equivalent to 1/2 * (np.exp(x) + np.exp(-x)) and np

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

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

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

numpy.maximum(x1, x2[, out]) = Element-wise maximum of array elements. Compare two arrays and returns a new array containing

numpy.cos(x[, out]) = Cosine element-wise.