numpy.arctan2(x1, x2[, out]) = Element-wise arc tangent of x1/x2 choosing the quadrant correctly. The quadrant

numpy.exp2(x[, out]) = Calculate 2**p for all p in the input array.

numpy.trunc(x[, out]) = Return the truncated value of the input, element-wise. The truncated value of the scalar x

numpy.cumprod(a, axis=None, dtype=None, out=None)

numpy.prod(a, axis=None, dtype=None, out=None, keepdims=False)

numpy.angle(z, deg=0)

numpy.copysign(x1, x2[, out]) = Change the sign of x1 to that of x2, element-wise. If both arguments are arrays or sequences

numpy.cross(a, b, axisa=-1, axisb=-1, axisc=-1, axis=None)

numpy.logaddexp(x1, x2[, out]) = Logarithm of the sum of exponentiations of the inputs. Calculates log(exp(x1) +

numpy.cumsum(a, axis=None, dtype=None, out=None)