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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def noise_get( n: tcod.noise.Noise, f: Sequence[float], typ: int = NOISE_DEFAULT ) -> float: """Return the noise value sampled from the ``f`` coordinate. ``f`` should be a tuple or list with a length matching :any:`Noise.dimensions`. If ``f`` is shoerter than :any:`Noise.dimensions` the missing coordinates will be filled with zeros. Args: n (Noise):
 A Noise instance. f (Sequence[float]):
 The point to sample the noise from. typ (int):
 The noise algorithm to use. Returns: float: The sampled noise value. """

    return float(lib.TCOD_noise_get_ex(n.noise_c, ffi.new("float[4]", f), typ))