def test_13A_537__calibration__PPR__regression(): """Run VLA calibration regression with a PPR file. PPR name: PPR_13A-537.xml Dataset: 13A-537/13A-537.sb24066356.eb24324502.56514.05971091435 """ ref_directory = 'pl-regressiontest/13A-537' pt = PipelineTester( visname=['13A-537.sb24066356.eb24324502.56514.05971091435'], ppr=f'{ref_directory}/PPR_13A-537.xml', input_dir=ref_directory, output_dir='13A_537__calibration__PPR__regression', expectedoutput_dir=ref_directory, ) > pt.run(telescope='vla', omp_num_threads=1) tests/regression/fast/vla_fast_test.py:44: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/testing_utils.py:381: in run self.__compare_results(new_file, default_relative_tolerance) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.testing_utils.PipelineTester object at 0x7f8c0c8cc950> new_file = '13A-537.sb24066356.eb24324502.56514.05971091435.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 23 result values within tolerances : E s10.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 15177530 E new: 15178722 E diff: -1192 E percent_diff: -0.007853715327856378% E s10.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_4.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 11498686 E new: 11499264 E diff: -578 E percent_diff: -0.005026661307213711% E s10.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_8.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 3678844 E new: 3679458 E diff: -614 E percent_diff: -0.01669002545364794% E s12.hifv_fluxboot.13A-537.sb24066356.eb24324502.56514.05971091435.flux_densities.spw_0 E values differ by > a relative difference of 1e-07 E expected: 0.7150110854670872 E new: 0.7155464779221782 E diff: -0.0005353924550909328 E percent_diff: -0.07487890271535902% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 48816980 E new: 48818190 E diff: -1210 E percent_diff: -0.0024786457499009567% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 48585576 E new: 48586786 E diff: -1210 E percent_diff: -0.002490451075438521% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_2.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7526960 E new: 7526980 E diff: -20 E percent_diff: -0.00026571152231445364% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_2.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 7526960 E new: 7526980 E diff: -20 E percent_diff: -0.00026571152231445364% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_3.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 6902470 E new: 6902468 E diff: 2 E percent_diff: 2.897513498791012e-05% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_3.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 6902470 E new: 6902468 E diff: 2 E percent_diff: 2.897513498791012e-05% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_4.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 11498686 E new: 11499264 E diff: -578 E percent_diff: -0.005026661307213711% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_4.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 11498686 E new: 11499264 E diff: -578 E percent_diff: -0.005026661307213711% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_8.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 3678844 E new: 3679458 E diff: -614 E percent_diff: -0.01669002545364794% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_8.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 3678844 E new: 3679458 E diff: -614 E percent_diff: -0.01669002545364794% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 29069288 E new: 29070644 E diff: -1356 E percent_diff: -0.004664716934243454% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_5.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 9126980 E new: 9128895 E diff: -1915 E percent_diff: -0.020981748617834157% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_6.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7154975 E new: 7155295 E diff: -320 E percent_diff: -0.004472412552105353% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_7.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7755397 E new: 7754518 E diff: 879 E percent_diff: 0.011334042602848055% E s16.hifv_statwt.13A-537.sb24066356.eb24324502.56514.05971091435.mean E values differ by > a relative difference of 1e-07 E expected: 0.6294082667176586 E new: 0.6287803138560883 E diff: 0.0006279528615702468 E percent_diff: 0.09976876612139182% E s16.hifv_statwt.13A-537.sb24066356.eb24324502.56514.05971091435.variance E values differ by > a relative difference of 1e-07 E expected: 0.06275781189517324 E new: 0.06260783041816648 E diff: 0.0001499814770067609 E percent_diff: 0.23898455423729667% E s8.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 14429430 E new: 14429448 E diff: -18 E percent_diff: -0.00012474505229936316% E s8.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_2.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7526960 E new: 7526980 E diff: -20 E percent_diff: -0.00026571152231445364% E s8.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_3.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 6902470 E new: 6902468 E diff: 2 E percent_diff: 2.897513498791012e-05% E Worst absolute diff, s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_5.num_rows_flagged.after: -1915 E Worst percentage diff, s16.hifv_statwt.13A-537.sb24066356.eb24324502.56514.05971091435.variance: 0.23898455423729667% tests/testing_utils.py:440: Faileddef test_13A_537__procedure_hifv__regression(): """Run VLA calibration regression for standard procedure_hifv.xml recipe. Recipe name: procedure_hifv Dataset: 13A-537/13A-537.sb24066356.eb24324502.56514.05971091435 """ ref_directory = 'pl-regressiontest/13A-537' pt = PipelineTester( visname=['13A-537.sb24066356.eb24324502.56514.05971091435'], recipe='procedure_hifv.xml', input_dir=ref_directory, output_dir='13A_537__procedure_hifv__regression', expectedoutput_dir=ref_directory, ) > pt.run(telescope='vla', omp_num_threads=1) tests/regression/fast/vla_fast_test.py:25: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/testing_utils.py:381: in run self.__compare_results(new_file, default_relative_tolerance) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.testing_utils.PipelineTester object at 0x7ff921fbb320> new_file = '13A-537.sb24066356.eb24324502.56514.05971091435.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 23 result values within tolerances : E s10.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 15177530 E new: 15178722 E diff: -1192 E percent_diff: -0.007853715327856378% E s10.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_4.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 11498686 E new: 11499264 E diff: -578 E percent_diff: -0.005026661307213711% E s10.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_8.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 3678844 E new: 3679458 E diff: -614 E percent_diff: -0.01669002545364794% E s12.hifv_fluxboot.13A-537.sb24066356.eb24324502.56514.05971091435.flux_densities.spw_0 E values differ by > a relative difference of 1e-07 E expected: 0.7150110854670872 E new: 0.7155464779221782 E diff: -0.0005353924550909328 E percent_diff: -0.07487890271535902% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 48816980 E new: 48818190 E diff: -1210 E percent_diff: -0.0024786457499009567% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 48585576 E new: 48586786 E diff: -1210 E percent_diff: -0.002490451075438521% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_2.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7526960 E new: 7526980 E diff: -20 E percent_diff: -0.00026571152231445364% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_2.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 7526960 E new: 7526980 E diff: -20 E percent_diff: -0.00026571152231445364% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_3.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 6902470 E new: 6902468 E diff: 2 E percent_diff: 2.897513498791012e-05% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_3.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 6902470 E new: 6902468 E diff: 2 E percent_diff: 2.897513498791012e-05% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_4.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 11498686 E new: 11499264 E diff: -578 E percent_diff: -0.005026661307213711% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_4.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 11498686 E new: 11499264 E diff: -578 E percent_diff: -0.005026661307213711% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_8.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 3678844 E new: 3679458 E diff: -614 E percent_diff: -0.01669002545364794% E s14.hifv_applycals.13A-537.sb24066356.eb24324502.56514.05971091435.scan_8.num_rows_flagged.before E values differ by > a relative difference of 1e-07 E expected: 3678844 E new: 3679458 E diff: -614 E percent_diff: -0.01669002545364794% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 29069288 E new: 29070644 E diff: -1356 E percent_diff: -0.004664716934243454% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_5.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 9126980 E new: 9128895 E diff: -1915 E percent_diff: -0.020981748617834157% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_6.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7154975 E new: 7155295 E diff: -320 E percent_diff: -0.004472412552105353% E s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_7.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7755397 E new: 7754518 E diff: 879 E percent_diff: 0.011334042602848055% E s16.hifv_statwt.13A-537.sb24066356.eb24324502.56514.05971091435.mean E values differ by > a relative difference of 1e-07 E expected: 0.6294082667176586 E new: 0.6287803138560883 E diff: 0.0006279528615702468 E percent_diff: 0.09976876612139182% E s16.hifv_statwt.13A-537.sb24066356.eb24324502.56514.05971091435.variance E values differ by > a relative difference of 1e-07 E expected: 0.06275781189517324 E new: 0.06260783041816648 E diff: 0.0001499814770067609 E percent_diff: 0.23898455423729667% E s8.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 14429430 E new: 14429448 E diff: -18 E percent_diff: -0.00012474505229936316% E s8.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_2.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 7526960 E new: 7526980 E diff: -20 E percent_diff: -0.00026571152231445364% E s8.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_3.num_rows_flagged.after E values differ by > a relative difference of 1e-07 E expected: 6902470 E new: 6902468 E diff: 2 E percent_diff: 2.897513498791012e-05% E Worst absolute diff, s15.hifv_checkflag.13A-537.sb24066356.eb24324502.56514.05971091435.scan_5.num_rows_flagged.after: -1915 E Worst percentage diff, s16.hifv_statwt.13A-537.sb24066356.eb24324502.56514.05971091435.variance: 0.23898455423729667% tests/testing_utils.py:440: Failed