neuralynx.py 文件源码

def _read_from_header(self):

        folder_path       = os.path.dirname(os.path.abspath(self.file_name))
        self.all_files    = self._get_sorted_channels_()

        regexpr           = re.compile('\d+')
        self.all_channels = []
        for f in self.all_files:
            self.all_channels += [int(regexpr.findall(f)[0])]

        self.header             = self._read_header_(self.all_files[0])

        header                  = {}
        header['sampling_rate'] = float(self.header['SamplingFrequency'])        
        header['nb_channels']   = len(self.all_files)
        header['gain']          = float(self.header['ADBitVolts'])*1000000        

        self.inverse     = self.header.has_key('InputInverted') and (self.header['InputInverted'] == 'True')
        if self.inverse:
            header['gain'] *= -1

        g                = open(self.all_files[0], 'rb')
        self.size        = ((os.fstat(g.fileno()).st_size - self.NUM_HEADER_BYTES)//self.RECORD_SIZE - 1) * self.SAMPLES_PER_RECORD
        self._shape      = (self.size, header['nb_channels'])
        g.close()

        return header