Pipeline.hsd.heuristics.grouping2 test: Test case result

The below summarizes the result of the test "Pipeline.hsd.heuristics.grouping2 test" in build 132 of Pipeline - Pipeline Main with Casa Master Test - Test Linux.

• Description: Pipeline.hsd.heuristics.grouping2 test
• Test class: unnamed test suite
• Method: pipeline.hsd.heuristics.grouping2_test

• Duration: < 1 sec
• Status: Failed (Existing Failure)

Error Log

collection failure
../casa-6.5.5-9-pipeline-2023.0.0.4/lib/py/lib/python3.8/importlib/__init__.py:127: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
<frozen importlib._bootstrap>:1014: in _gcd_import
    ???
<frozen importlib._bootstrap>:991: in _find_and_load
    ???
<frozen importlib._bootstrap>:961: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:219: in _call_with_frames_removed
    ???
<frozen importlib._bootstrap>:1014: in _gcd_import
    ???
<frozen importlib._bootstrap>:991: in _find_and_load
    ???
<frozen importlib._bootstrap>:961: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:219: in _call_with_frames_removed
    ???
<frozen importlib._bootstrap>:1014: in _gcd_import
    ???
<frozen importlib._bootstrap>:991: in _find_and_load
    ???
<frozen importlib._bootstrap>:961: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:219: in _call_with_frames_removed
    ???
<frozen importlib._bootstrap>:1014: in _gcd_import
    ???
<frozen importlib._bootstrap>:991: in _find_and_load
    ???
<frozen importlib._bootstrap>:975: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:671: in _load_unlocked
    ???
<frozen importlib._bootstrap_external>:848: in exec_module
    ???
<frozen importlib._bootstrap>:219: in _call_with_frames_removed
    ???
pipeline/__init__.py:21: in <module>
    from . import hifa
pipeline/hifa/__init__.py:2: in <module>
    from . import tasks
pipeline/hifa/tasks/__init__.py:9: in <module>
    from .fluxscale import GcorFluxscale, SessionGcorFluxscale
pipeline/hifa/tasks/fluxscale/__init__.py:3: in <module>
    from . import qa
pipeline/hifa/tasks/fluxscale/qa.py:622: in <module>
    'boolean': numpy.bool,
../casa-6.5.5-9-pipeline-2023.0.0.4/lib/py/lib/python3.8/site-packages/numpy/__init__.py:305: in __getattr__
    raise AttributeError(__former_attrs__[attr])
E   AttributeError: module 'numpy' has no attribute 'bool'.
E   `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
E   The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
E       https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations