@pytest.mark.seven @pytest.mark.mpi def test_2023_1_00228_S__uid___A002_X1199f9e_X7c24__procedure_hifa_calimage_diffgain__regression(): """Run ALMA cal+image regression on a 7m B2B dataset with differential gain calibration. Recipe name: procedure_hifa_calimage_diffgain Dataset: 2023.1.00228.S: uid___A002_X1199f9e_X7c24 """ ref_directory = 'pl-regressiontest/2023.1.00228.S' pt = PipelineTester( visname=['uid___A002_X1199f9e_X7c24'], recipe='procedure_hifa_calimage_diffgain.xml', input_dir=ref_directory, expectedoutput_dir=ref_directory, ) > pt.run() tests/regression/fast/alma_if_fast_test.py:142: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/testing_utils.py:381: in run self.__compare_results(new_file, default_relative_tolerance) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.testing_utils.PipelineTester object at 0x7f2252695010> new_file = 'uid___A002_X1199f9e_X7c24.NEW.results.txt' relative_tolerance = 1e-07 def __compare_results(self, new_file: str, relative_tolerance: float) -> None: """ Compare results between new one loaded from file and old one. Args: new_file : file path of new results relative_tolerance : relative tolerance of output value """ with open(self.expectedoutput_file) as expected_fd, open(new_file) as new_fd: expected_results = expected_fd.readlines() new_results = new_fd.readlines() errors = [] worst_diff = (0, 0) worst_percent_diff = (0, 0) for old, new in zip(expected_results, new_results): try: oldkey, oldval, tol = self.__sanitize_results_string(old) newkey, newval, _ = self.__sanitize_results_string(new) except ValueError as e: errorstr = "The results: {0} could not be parsed. Error: {1}".format(new, str(e)) errors.append(errorstr) continue assert oldkey == newkey, f"Expected key {oldkey} does not match new key {newkey}." tolerance = tol if tol else relative_tolerance if newval is not None: LOG.info('Comparing %s to %s with a rel. tolerance of %s', oldval, newval, tolerance) if oldval != pytest.approx(newval, rel=tolerance): diff = oldval-newval percent_diff = (oldval-newval)/oldval * 100 if oldval != 0 else 100 if abs(diff) > abs(worst_diff[0]): worst_diff = diff, oldkey if abs(percent_diff) > abs(worst_percent_diff[0]): worst_percent_diff = percent_diff, oldkey errorstr = f"{oldkey}\n\tvalues differ by > a relative difference of {tolerance}\n\texpected: {oldval}\n\tnew: {newval}\n\tdiff: {diff}\n\tpercent_diff: {percent_diff}%" errors.append(errorstr) elif oldval is not None: # If only the new value is None, fail errorstr = f"{oldkey}\n\tvalue is None\n\texpected: {oldval}\n\tnew: {newval}" errors.append(errorstr) else: # If old and new values are both None, this is expected, so pass LOG.info('Comparing %s and %s... both values are None.', oldval, newval) [LOG.warning(x) for x in errors] n_errors = len(errors) if n_errors > 0: summary_str = f"Worst absolute diff, {worst_diff[1]}: {worst_diff[0]}\nWorst percentage diff, {worst_percent_diff[1]}: {worst_percent_diff[0]}%" errors.append(summary_str) > pytest.fail("Failed to match {0} result value{1} within tolerance{1} :\n{2}".format( n_errors, '' if n_errors == 1 else 's', '\n'.join(errors)), pytrace=True) E Failed: Failed to match 6 result values within tolerances : E s21.hif_applycal.uid___A002_X1199f9e_X7c24.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 249574780 E new: 249563260 E diff: 11520 E percent_diff: 0.004615851008663616% E s21.hif_applycal.uid___A002_X1199f9e_X7c24.scan_11.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 1958304 E new: 1935264 E diff: 23040 E percent_diff: 1.176528261189274% E s21.hif_applycal.uid___A002_X1199f9e_X7c24.scan_13.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 1736584 E new: 1716424 E diff: 20160 E percent_diff: 1.1608997894717445% E s21.hif_applycal.uid___A002_X1199f9e_X7c24.scan_15.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 1755616 E new: 1775776 E diff: -20160 E percent_diff: -1.148314893461896% E s21.hif_applycal.uid___A002_X1199f9e_X7c24.scan_9.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 1861520 E new: 1873040 E diff: -11520 E percent_diff: -0.6188491125531823% E s21.hif_applycal.uid___A002_X1199f9e_X7c24.spw_31.qa.metric.phase_vs_freqslope E values differ by > a relative difference of 1e-07 E expected: 46.569797759406356 E new: 46.56980701614873 E diff: -9.256742373509041e-06 E percent_diff: -1.9877136725678237e-05% E Worst absolute diff, s21.hif_applycal.uid___A002_X1199f9e_X7c24.scan_11.num_rows_flagged.after: 23040 E Worst percentage diff, s21.hif_applycal.uid___A002_X1199f9e_X7c24.scan_11.num_rows_flagged.after: 1.176528261189274% tests/testing_utils.py:440: Failed