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
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")
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")