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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 _ensure_arraylike(values):
 """ ensure that we are arraylike if not already """

    if not is_array_like(values):
        inferred = lib.infer_dtype(values, skipna=False)
        if inferred in ['mixed', 'string', 'unicode']:
            if isinstance(values, tuple):
                values = list(values)
            values = construct_1d_object_array_from_listlike(values)
        else:
            values = np.asarray(values)
    return values