pypet/shareddata.py
def make_shared_result(result, key, trajectory, new_class=None):
    """Turns an ordinary data item into a shared one.

    Removes the old result from the trajectory and replaces it.
    Empties the given result.

    :param result: The result containing ordinary data
    :param key: Name of ordinary data item
    :param trajectory: Trajectory container
    :param new_class:

        Class of new shared data item.
        Leave `None` for automatic detection.

    :return: The `result`

    """
    data = result.f_get(key)
    if new_class is None:
        if isinstance(data, ObjectTable):
            new_class = SharedTable
        elif isinstance(data, pd.DataFrame):
            new_class = SharedPandasFrame
        elif isinstance(data, (tuple, list)):
            new_class = SharedArray
        elif isinstance(data, (np.ndarray, np.matrix)):
            new_class = SharedCArray
        else:
            raise RuntimeError('Your data `%s` is not understood.' % key)
    shared_data = new_class(result.f_translate_key(key), result, trajectory=trajectory)
    result[key] = shared_data
    shared_data._request_data('make_shared')
    return result
def make_shared_result(result, key, trajectory, new_class=None):
    data = result.f_get(key)
    if new_class is None:
        if isinstance(data, ObjectTable):
            new_class = SharedTable
        elif isinstance(data, pd.DataFrame):
            new_class = SharedPandasFrame
        elif isinstance(data, (tuple, list)):
            new_class = SharedArray
        elif isinstance(data, (np.ndarray, np.matrix)):
            new_class = SharedCArray
        else:
            raise RuntimeError('Your data `%s` is not understood.' % key)
    shared_data = new_class(result.f_translate_key(key), result, trajectory=trajectory)
    result[key] = shared_data
    shared_data._request_data('make_shared')
    return result
def make_shared_result ( result , key , trajectory , new_class = None ) : data = result . f_get ( key ) if new_class is None : if isinstance ( data , ObjectTable ) : new_class = SharedTable elif isinstance ( data , pd . DataFrame ) : new_class = SharedPandasFrame elif isinstance ( data , ( tuple , list ) ) : new_class = SharedArray elif isinstance ( data , ( np . ndarray , np . matrix ) ) : new_class = SharedCArray else : raise RuntimeError ( 'Your data `%s` is not understood.' % key ) shared_data = new_class ( result . f_translate_key ( key ) , result , trajectory = trajectory ) result [ key ] = shared_data shared_data . _request_data ( 'make_shared' ) return result
Turns an ordinary data item into a shared one.

    Removes the old result from the trajectory and replaces it.
    Empties the given result.

    :param result: The result containing ordinary data
    :param key: Name of ordinary data item
    :param trajectory: Trajectory container
    :param new_class:

        Class of new shared data item.
        Leave `None` for automatic detection.

    :return: The `result`
Turns an ordinary data item into a shared one .