numpy.sinh(x[, out]) = Hyperbolic sine, element-wise. Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j
numpy.interp(x, xp, fp, left=None, right=None, period=None)
numpy.arcsinh(x[, out]) = Inverse hyperbolic sine element-wise.
numpy.square(x[, out]) = Return the element-wise square of the input.
numpy.tanh(x[, out]) = Compute hyperbolic tangent element-wise. Equivalent to np.sinh(x)/np.cosh(x) or -1j
numpy.logaddexp2(x1, x2[, out]) = Logarithm of the sum of exponentiations of the inputs in base-2. Calculates log2(2**x1
numpy.cos(x[, out]) = Cosine element-wise.
numpy.log2(x[, out]) = Base-2 logarithm of x.
numpy.unwrap(p, discont=3.141592653589793, axis=-1)
numpy.log1p(x[, out]) = Return the natural logarithm of one plus the input array, element-wise. Calculates log(1 + x)
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