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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 supercell_composite(mucape, effective_storm_helicity, effective_shear):
 r"""Calculate the supercell composite parameter. The supercell composite parameter is designed to identify environments favorable for the development of supercells, and is calculated using the formula developed by [Thompson2004]_: .. math:: \text{SCP} = \frac{\text{MUCAPE}}{1000 \text{J/kg}} * \frac{\text{Effective SRH}}{50 \text{m}^2/\text{s}^2} * \frac{\text{Effective Shear}}{20 \text{m/s}} The effective_shear term is set to zero below 10 m/s and capped at 1 when effective_shear exceeds 20 m/s. Parameters mucape : `pint.Quantity` Most-unstable CAPE effective_storm_helicity : `pint.Quantity` Effective-layer storm-relative helicity effective_shear : `pint.Quantity` Effective bulk shear Returns ------- array-like supercell composite """

    effective_shear = np.clip(atleast_1d(effective_shear), None, 20 * units('m/s'))
    effective_shear[effective_shear < 10 * units('m/s')] = 0 * units('m/s')
    effective_shear = effective_shear / (20 * units('m/s'))

    return ((mucape / (1000 * units('J/kg')))
            * (effective_storm_helicity / (50 * units('m^2/s^2')))
            * effective_shear).to('dimensionless')