numpy.hypot(x1, x2[, out]) = Given the ?legs? of a right triangle, return its hypotenuse. Equivalent to sqrt(x1**2 +
numpy.imag(val)
numpy.arcsin(x[, out]) = Inverse sine, element-wise.
numpy.true_divide(x1, x2[, out]) = Returns a true division of the inputs, element-wise. Instead of the Python traditional
numpy.floor(x[, out]) = Return the floor of the input, element-wise. The floor of the scalar x is the largest
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.trunc(x[, out]) = Return the truncated value of the input, element-wise. The truncated value of the scalar x
numpy.exp2(x[, out]) = Calculate 2**p for all p in the input array.
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