Data.Metrics.Snapshot:quantile from metrics-0.3.0.2

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\[x + \left(y - z\right) \cdot \left(t - x\right) \]
(FPCore (x y z t) :precision binary64 (+ x (* (- y z) (- t x))))
double code(double x, double y, double z, double t) {
	return x + ((y - z) * (t - x));
}
real(8) function code(x, y, z, t)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = x + ((y - z) * (t - x))
end function
public static double code(double x, double y, double z, double t) {
	return x + ((y - z) * (t - x));
}
def code(x, y, z, t):
	return x + ((y - z) * (t - x))
function code(x, y, z, t)
	return Float64(x + Float64(Float64(y - z) * Float64(t - x)))
end
function tmp = code(x, y, z, t)
	tmp = x + ((y - z) * (t - x));
end
code[x_, y_, z_, t_] := N[(x + N[(N[(y - z), $MachinePrecision] * N[(t - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
x + \left(y - z\right) \cdot \left(t - x\right)