Build #2

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23-Feb-2026 22:06:10 recipes/recipe_converter_test.py::test_get_comment[hsd_baseline-config2-] PASSED [ 97%]
23-Feb-2026 22:06:10 recipes/recipe_converter_test.py::test_get_comment[hsd_baseline-config3-        # This is comment\n] PASSED [ 98%]
23-Feb-2026 22:06:10 recipes/recipe_converter_test.py::test_get_comment[hsd_baseline-config4-        # This is comment\n] PASSED [ 98%]
23-Feb-2026 22:06:10 recipes/recipe_converter_test.py::test_get_comment[hsd_baseline-config5-        # This is \n        # multi-line comment\n] PASSED [ 98%]
23-Feb-2026 22:06:10 recipes/recipe_converter_test.py::test_get_comment[hsd_baseline-config6-        # This is \n        # multi-line comment\n] PASSED [ 98%]
23-Feb-2026 22:06:10 recipes/recipe_converter_test.py::test_get_execution_command[breakpoint-config0-] PASSED [ 98%]
23-Feb-2026 22:06:10 recipes/recipe_converter_test.py::test_get_execution_command[hsd_baseline-config1-        hsd_baseline()] PASSED [ 98%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_get_execution_command[hsd_baseline-config2-        hsd_baseline(pstr='strval', pint=3)] PASSED [ 98%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_get_execution_command[hsd_importdata-config3-        hsd_importdata(vis=vislist)\n\n        if importonly:\n            raise Exception(IMPORT_ONLY)] PASSED [ 99%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_c2p PASSED                        [ 99%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_to_procedure PASSED               [ 99%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_export[False-] PASSED             [ 99%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_export[True-plotlevel='summary'] PASSED [ 99%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_main SKIPPED (Skip testing ma...) [ 99%]
23-Feb-2026 22:06:11 recipes/recipe_converter_test.py::test_generate_all SKIPPED (Skip te...) [100%]
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 =================================== FAILURES ===================================
23-Feb-2026 22:06:11 ______________ test_build_fitting_configuration[inp0-None-False] _______________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = None
23-Feb-2026 22:06:11 should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'cspline', 19: 'cspline', 23: 'cspline'}
23-Feb-2026 22:06:11 fit_function = [17, 19, 23], ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 ____________ test_build_fitting_configuration[inp1-expected1-False] ____________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = {}
23-Feb-2026 22:06:11 should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'cspline', 19: 'cspline', 23: 'cspline'}
23-Feb-2026 22:06:11 fit_function = [17, 19, 23], ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 _____________ test_build_fitting_configuration[inp2-spline-False] ______________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = 'spline'
23-Feb-2026 22:06:11 should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'cspline', 19: 'cspline', 23: 'cspline'}
23-Feb-2026 22:06:11 fit_function = [17, 19, 23], ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 ____________ test_build_fitting_configuration[inp3-expected3-False] ____________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = {30: 'poly'}
23-Feb-2026 22:06:11 should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'cspline', 19: 'cspline', 23: 'cspline'}
23-Feb-2026 22:06:11 fit_function = [17, 19, 23], ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 ______________ test_build_fitting_configuration[inp4-poly-False] _______________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'poly', 19: 'poly', 23: 'poly'}, expected = 'poly'
23-Feb-2026 22:06:11 should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'poly', 19: 'poly', 23: 'poly'}, fit_function = [17, 19, 23]
23-Feb-2026 22:06:11 ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 ____________ test_build_fitting_configuration[inp5-expected5-False] ____________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'cspline', 19: 'cspline', 23: 'poly'}, expected = {'23': 'poly'}
23-Feb-2026 22:06:11 should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'cspline', 19: 'cspline', 23: 'poly'}
23-Feb-2026 22:06:11 fit_function = [17, 19, 23], ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 ____________ test_build_fitting_configuration[inp6-expected6-False] ____________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'poly', 19: 'cspline', 23: 'cspline'}
23-Feb-2026 22:06:11 expected = {'17': 'poly', 19: 'spline'}, should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'poly', 19: 'cspline', 23: 'cspline'}
23-Feb-2026 22:06:11 fit_function = [17, 19, 23], ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 ____________ test_build_fitting_configuration[inp7-expected7-False] ____________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = {17: 'poly', 19: 'cspline', 23: 'poly'}
23-Feb-2026 22:06:11 expected = {17: 'poly', 19: 'spline', 23: 'poly'}, should_raise = False
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11             with pytest.raises(expected):
23-Feb-2026 22:06:11                 worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11             return
23-Feb-2026 22:06:11 >       cfg = worker.build_fitting_configuration(inp, SPWS)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:34:
23-Feb-2026 22:06:11 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 spw_id_list = {17: 'poly', 19: 'cspline', 23: 'poly'}
23-Feb-2026 22:06:11 fit_function = [17, 19, 23], ms = None, context = None, switchpoly = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @staticmethod
23-Feb-2026 22:06:11     def build_fitting_configuration(
23-Feb-2026 22:06:11             spw_id_list: Union[List[int], set[Any]],
23-Feb-2026 22:06:11             fit_function: Optional[Union[str, Dict[Union[int, str], str]]] = "cspline",
23-Feb-2026 22:06:11             ms: MeasurementSet = None,
23-Feb-2026 22:06:11             context: Context = None,
23-Feb-2026 22:06:11             switchpoly=True
23-Feb-2026 22:06:11     ) -> Dict[int, BaselineFitParamConfig]:
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11         Convert the fit_function parameter into a dictionary mapping each SPW ID to its BaselineFitParamConfig.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         If fit_function is None or falsy, the default 'cspline' is used.
23-Feb-2026 22:06:11         If a single string is provided, one BaselineFitParamConfig instance is created and applied to all SPWs.
23-Feb-2026 22:06:11         If a dictionary is provided, keys are normalized to integers; SPWs not specified default to 'cspline'.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Args:
23-Feb-2026 22:06:11             switchpoly:
23-Feb-2026 22:06:11             context:
23-Feb-2026 22:06:11             ms: Measurement set
23-Feb-2026 22:06:11             fit_function: The fit function parameter (str, dict, or None).
23-Feb-2026 22:06:11             spw_id_list: List of spectral window IDs to process.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Raises:
23-Feb-2026 22:06:11             ValueError: fit_function has unsupported value.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         Returns:
23-Feb-2026 22:06:11             A dictionary mapping each SPW ID (int) to a BaselineFitParamConfig instance.
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         """
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         valid_functions = {'spline', 'cspline', 'poly', 'polynomial', 'sinusoid'}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, str):
23-Feb-2026 22:06:11             if fit_function not in valid_functions:
23-Feb-2026 22:06:11                 raise ValueError(f"Unsupported fitting function value: {fit_function}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             heuristics_out = dict.fromkeys(
23-Feb-2026 22:06:11                 spw_id_list,
23-Feb-2026 22:06:11                 BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=fit_function,
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                 )
23-Feb-2026 22:06:11             )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         if isinstance(fit_function, dict):
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             spw_function_map = dict.fromkeys(spw_id_list, "cspline")
23-Feb-2026 22:06:11             spw_function_map.update(fit_function)
23-Feb-2026 22:06:11             heuristics_out = {}
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             # Need to fill in the input fit functions. We could make this cleaner without
23-Feb-2026 22:06:11             # the virtual2real section, but I'm not sure if the keys will match.
23-Feb-2026 22:06:11             for key, value in spw_function_map.items():
23-Feb-2026 22:06:11                 # Check that all the functions are supported.
23-Feb-2026 22:06:11                 if not value in valid_functions:
23-Feb-2026 22:06:11                     raise ValueError(f"Unsupported fitting function value: {value}")
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 _key = context.observing_run.virtual2real_spw_id(key, ms) if context else key
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11                 heuristics_out[_key] = BaselineFitParamConfig(
23-Feb-2026 22:06:11                         fitfunc=spw_function_map[key],
23-Feb-2026 22:06:11                         switchpoly=switchpoly
23-Feb-2026 22:06:11                     )
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11             return heuristics_out
23-Feb-2026 22:06:11    
23-Feb-2026 22:06:11         else:
23-Feb-2026 22:06:11 >           raise ValueError(f"Unsupported fitting function type: {type(fit_function)}")
23-Feb-2026 22:06:11 E           ValueError: Unsupported fitting function type: <class 'list'>
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker.py:662: ValueError
23-Feb-2026 22:06:11 __________ test_build_fitting_configuration[ValueError-badfunc-True] ___________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = <class 'ValueError'>, expected = 'badfunc', should_raise = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11 >           with pytest.raises(expected):
23-Feb-2026 22:06:11 E           TypeError: expected exception must be a BaseException type, not str
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:31: TypeError
23-Feb-2026 22:06:11 _________ test_build_fitting_configuration[ValueError-expected9-True] __________
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 inp = <class 'ValueError'>, expected = {19: 'invalid'}, should_raise = True
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11     @pytest.mark.parametrize(
23-Feb-2026 22:06:11         "inp, expected, should_raise",
23-Feb-2026 22:06:11         [
23-Feb-2026 22:06:11             # valid inputs
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, None, False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: DEF}, {}, False),
23-Feb-2026 22:06:11             ({17: "cspline", 19: "cspline", 23: "cspline"}, "spline", False), #   SPLINE = CSPLINE in the FittingFunction class of fitrorder.py
23-Feb-2026 22:06:11             ({17: DEF, 19: DEF, 23: DEF}, {30: "poly"}, False),
23-Feb-2026 22:06:11             ({17: "poly",   19: "poly",   23: "poly"}, "poly", False),
23-Feb-2026 22:06:11             ({17: DEF,      19: DEF,      23: "poly"}, {"23":"poly"}, False),
23-Feb-2026 22:06:11             ({17:"poly",  19:"cspline",  23: DEF}, {"17":"poly", 19:"spline"}, False),
23-Feb-2026 22:06:11             ({17:"poly",    19:"cspline",  23:"poly"}, {17:"poly", 19:"spline", 23:"poly"}, False),
23-Feb-2026 22:06:11             # error inputs
23-Feb-2026 22:06:11             (ValueError, "badfunc", True),
23-Feb-2026 22:06:11             (ValueError, {19:"invalid"}, True),
23-Feb-2026 22:06:11         ],
23-Feb-2026 22:06:11     )
23-Feb-2026 22:06:11     def test_build_fitting_configuration(inp, expected, should_raise):
23-Feb-2026 22:06:11         if should_raise:
23-Feb-2026 22:06:11 >           with pytest.raises(expected):
23-Feb-2026 22:06:11 E           TypeError: expected exception must be a BaseException type, not int
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 hsd/tasks/baseline/worker_test.py:31: TypeError
23-Feb-2026 22:06:11 =============================== warnings summary ===============================
23-Feb-2026 22:06:11 pipeline/hifa/tasks/applycal/ampphase_vs_freq_qa_test.py::test_score_all_scans
23-Feb-2026 22:06:11   /home/casatest/casa-build-utils/pipeline/workdir/casa-6.6.6-18-py3.10.el8/lib/py/lib/python3.10/site-packages/numpy/ma/core.py:489: ComplexWarning: Casting complex values to real discards the imaginary part
23-Feb-2026 22:06:11     fill_value = np.asarray(fill_value, dtype=ndtype)
23-Feb-2026 22:06:11
23-Feb-2026 22:06:11 -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
23-Feb-2026 22:06:11 - generated xml file: /home/casatest/casa-build-utils/pipeline/workdir/pipeline_test_result.xml -
23-Feb-2026 22:06:11 =========================== short test summary info ============================
23-Feb-2026 22:06:11 SKIPPED [2] h/tasks/common/atmutil_test.py:213: need_vis
23-Feb-2026 22:06:11 SKIPPED [3] h/tasks/common/atmutil_test.py:233: need_vis
23-Feb-2026 22:06:11 SKIPPED [2] h/tasks/common/atmutil_test.py:251: need_vis
23-Feb-2026 22:06:12 SKIPPED [1] infrastructure/daskhelpers_test.py:80: dask not installed
23-Feb-2026 22:06:12 SKIPPED [1] infrastructure/daskhelpers_test.py:146: dask not installed
23-Feb-2026 22:06:12 SKIPPED [1] infrastructure/daskhelpers_test.py:195: dask not installed
23-Feb-2026 22:06:12 SKIPPED [1] recipes/recipe_converter_test.py:375: Skip testing main. Its output must be carefully examined by developer.
23-Feb-2026 22:06:12 SKIPPED [1] recipes/recipe_converter_test.py:380: Skip testing generate_all. Its output must be carefully examined by developer.
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp0-None-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp1-expected1-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp2-spline-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp3-expected3-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp4-poly-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp5-expected5-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp6-expected6-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[inp7-expected7-False]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[ValueError-badfunc-True]
23-Feb-2026 22:06:12 FAILED hsd/tasks/baseline/worker_test.py::test_build_fitting_configuration[ValueError-expected9-True]
23-Feb-2026 22:06:12 ====== 10 failed, 656 passed, 12 skipped, 1 warning in 673.22s (0:11:13) =======
23-Feb-2026 22:06:12 1
23-Feb-2026 22:06:12 mkdir: cannot create directory 'workdir': File exists
23-Feb-2026 22:06:12 Finished task 'Test' with result: Success
23-Feb-2026 22:06:12 All conditions for task 'JUnit Parser' were met. Conditions: Variable bamboo.repository.pr.targetBranch matches pattern main
23-Feb-2026 22:06:12 Starting task 'JUnit Parser' of type 'com.atlassian.bamboo.plugins.testresultparser:task.testresultparser.junit'
23-Feb-2026 22:06:12 Parsing test results under /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-PPRT1297-PPT666...
23-Feb-2026 22:06:12 Failing task since 10 failing test cases were found.
23-Feb-2026 22:06:12 Finished task 'JUnit Parser' with result: Failed
23-Feb-2026 22:06:12 Starting task 'Cleanup' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script'
23-Feb-2026 22:06:12
Beginning to execute external process for build 'Pipeline - Pipeline Pull Request Test - PIPE-2893-hsd_baseline-enable-sinusoid-option - Pipeline PR Test 6.6.6 #2 (PIPE-PPRT1297-PPT666-2)'
... running command line:
/export/home/cbt-pipeline-test/ci-workspace/bamboohome/temp/PIPE-PPRT1297-PPT666-2-ScriptBuildTask-12348392915046522568.sh
... in: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-PPRT1297-PPT666
23-Feb-2026 22:06:12 Starting cleanup
23-Feb-2026 22:06:13 Error response from daemon: No such container: pipeline-test
23-Feb-2026 22:06:13 Error response from daemon: No such container: pipeline-test
23-Feb-2026 22:06:13 Cleanup complete
23-Feb-2026 22:06:13 Finished task 'Cleanup' with result: Success
23-Feb-2026 22:06:13 Running post build plugin 'Docker Container Cleanup'
23-Feb-2026 22:06:13
Beginning to execute external process for build 'Pipeline - Pipeline Pull Request Test - PIPE-2893-hsd_baseline-enable-sinusoid-option - Pipeline PR Test 6.6.6 #2 (PIPE-PPRT1297-PPT666-2)'
... running command line:
/usr/bin/docker rm -f pipelinetest
... in: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-PPRT1297-PPT666
23-Feb-2026 22:06:16 pipelinetest
23-Feb-2026 22:06:16 Running post build plugin 'NCover Results Collector'
23-Feb-2026 22:06:16 Running post build plugin 'Build Results Label Collector'
23-Feb-2026 22:06:16 Running post build plugin 'Clover Results Collector'
23-Feb-2026 22:06:16 Running post build plugin 'npm Cache Cleanup'
23-Feb-2026 22:06:16 Running post build plugin 'Artifact Copier'
23-Feb-2026 22:06:16 Publishing an artifact: Result xml
23-Feb-2026 22:06:16 Finished publishing of artifact Non required job artifact Http Compression On : [Result xml], patterns: [pipeline_test_result.xml] anchored at: [pkgout] in 116.9 ms
23-Feb-2026 22:06:16 Finalising the build...
23-Feb-2026 22:06:16 Stopping timer.
23-Feb-2026 22:06:16 Build PIPE-PPRT1297-PPT666-2 completed.
23-Feb-2026 22:06:17 Running on server: post build plugin 'Build Hanging Detection Configuration'
23-Feb-2026 22:06:17 Running on server: post build plugin 'NCover Results Collector'
23-Feb-2026 22:06:17 Running on server: post build plugin 'Build Labeller'
23-Feb-2026 22:06:17 Running on server: post build plugin 'Clover Delta Calculator'
23-Feb-2026 22:06:17 Running on server: post build plugin 'Maven Dependencies Postprocessor'
23-Feb-2026 22:06:17 All post build plugins have finished
23-Feb-2026 22:06:17 Generating build results summary...
23-Feb-2026 22:06:17 Saving build results to disk...
23-Feb-2026 22:06:17 Store variable context...
23-Feb-2026 22:06:17 Finished building PIPE-PPRT1297-PPT666-2.