brainwaref32io.py 文件源码

def __read_condition(self):
        '''
        Read the parameter values for a single stimulus condition.

        Returns nothing.
        '''
        # float32 -- SpikeTrain length in ms
        self.__t_stop = np.fromfile(self._fsrc, dtype=np.float32, count=1)[0]

        # float32 -- number of stimulus parameters
        numelements = int(np.fromfile(self._fsrc, dtype=np.float32,
                                      count=1)[0])

        # [float32] * numelements -- stimulus parameter values
        paramvals = np.fromfile(self._fsrc, dtype=np.float32,
                                count=numelements).tolist()

        # organize the parameers into a dictionary with arbitrary names
        paramnames = ['Param%s' % i for i in range(len(paramvals))]
        self.__params = dict(zip(paramnames, paramvals))