def launch(self, array_data):

        array_data = numpy.loadtxt(array_data)

        ts = TimeSeries()
        ts.storage_path = self.storage_path
        #ts.configure()
        ts.write_data_slice(array_data)
        ts.close_file()
        return ts
    def launch(self, array_data):

        array_data = numpy.loadtxt(array_data)

        ts = TimeSeries()
        ts.storage_path = self.storage_path
        #ts.configure()
        ts.write_data_slice(array_data)
        ts.close_file()
        return ts
Example #3
0
    def _create_timeseries(self):
        """Launch adapter to persist a TimeSeries entity"""
        storage_path = FilesHelper().get_project_folder(self.test_project, str(self.operation.id))

        time_series = TimeSeries()
        time_series.sample_period = 10.0
        time_series.start_time = 0.0
        time_series.storage_path = storage_path
        time_series.write_data_slice(numpy.array([1.0, 2.0, 3.0]))
        time_series.close_file()
        time_series.sample_period_unit = 'ms'

        self._store_entity(time_series, "TimeSeries", "tvb.datatypes.time_series")
        count_ts = self.count_all_entities(TimeSeries)
        self.assertEqual(1, count_ts, "Should be only one TimeSeries")
Example #4
0
    def _create_timeseries(self):
        """Launch adapter to persist a TimeSeries entity"""
        storage_path = FilesHelper().get_project_folder(self.test_project, str(self.operation.id))

        time_series = TimeSeries()
        time_series.sample_period = 10.0
        time_series.start_time = 0.0
        time_series.storage_path = storage_path
        time_series.write_data_slice(numpy.array([1.0, 2.0, 3.0]))
        time_series.close_file()
        time_series.sample_period_unit = 'ms'

        self._store_entity(time_series, "TimeSeries", "tvb.datatypes.time_series")
        count_ts = self.count_all_entities(TimeSeries)
        self.assertEqual(1, count_ts, "Should be only one TimeSeries")