def serialize_obj(obj):
    '''Custom serialization functionality for working with advanced data types.

    - numpy arrays are converted to lists
    - lists are recursively serialized element-wise

    '''

    if isinstance(obj, np.integer):
        return int(obj)

    elif isinstance(obj, np.floating):
        return float(obj)

    elif isinstance(obj, np.ndarray):
        return obj.tolist()

    elif isinstance(obj, list):
        return [serialize_obj(x) for x in obj]

    elif isinstance(obj, Observation):
        return {k: serialize_obj(v) for k, v in six.iteritems(obj._asdict())}

    return obj
def serialize_obj(obj):
    

    if isinstance(obj, np.integer):
        return int(obj)

    elif isinstance(obj, np.floating):
        return float(obj)

    elif isinstance(obj, np.ndarray):
        return obj.tolist()

    elif isinstance(obj, list):
        return [serialize_obj(x) for x in obj]

    elif isinstance(obj, Observation):
        return {k: serialize_obj(v) for k, v in six.iteritems(obj._asdict())}

    return obj
def serialize_obj ( obj ) : if isinstance ( obj , np . integer ) : return int ( obj ) elif isinstance ( obj , np . floating ) : return float ( obj ) elif isinstance ( obj , np . ndarray ) : return obj . tolist ( ) elif isinstance ( obj , list ) : return [ serialize_obj ( x ) for x in obj ] elif isinstance ( obj , Observation ) : return { k : serialize_obj ( v ) for k , v in six . iteritems ( obj . _asdict ( ) ) } return obj
Custom serialization functionality for working with advanced data types.

    - numpy arrays are converted to lists
    - lists are recursively serialized element-wise
Custom serialization functionality for working with advanced data types .