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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 get_reports():
 """ Returns energy data from 1960 to 2014 across various factors. """

    if False:
        # If there was a Test version of this method, it would go here. But alas.
        pass
    else:
        rows = _Constants._DATABASE.execute("SELECT data FROM energy".format(
            hardware=_Constants._HARDWARE))
        data = [r[0] for r in rows]
        data = [_Auxiliary._byteify(_json.loads(r)) for r in data]
        
        return _Auxiliary._byteify(data)