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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 concatenate(arrs, axis=0):
 r"""Concatenate multiple values into a new unitized object. This is essentially a unit-aware version of `numpy.concatenate`. All items must be able to be converted to the same units. If an item has no units, it will be given those of the rest of the collection, without conversion. The first units found in the arguments is used as the final output units. Parameters arrs : Sequence of arrays The items to be joined together axis : integer, optional The array axis along which to join the arrays. Defaults to 0 (the first dimension) Returns ------- `pint.Quantity` New container with the value passed in and units corresponding to the first item. """

    dest = 'dimensionless'
    for a in arrs:
        if hasattr(a, 'units'):
            dest = a.units
            break

    data = []
    for a in arrs:
        if hasattr(a, 'to'):
            a = a.to(dest).magnitude
        data.append(np.atleast_1d(a))

    # Use masked array concatenate to ensure masks are preserved, but convert to an
    # array if there are no masked values.
    data = np.ma.concatenate(data, axis=axis)
    if not np.any(data.mask):
        data = np.asarray(data)

    return units.Quantity(data, dest)