Build: #1 failed

Job: Test Tasks RHEL7 failed

Full log: Test case result

The below summarizes the result of the test "Full log" in build 1 of CASA - Casa 6 Dev Test Full - CAS-13906 - Test Tasks RHEL7. View test case history
Description
Full log
Test class
test_task_deconvolve
Method
full log
Duration
13 mins
Status
Failed (New Failure)

Error Log

2023-02-08 21:02:30	WARN	::casa	casampi not available - not testing MPIEnvironment stuff
Unexpected end of /proc/mounts line `overlay / overlay rw,relatime,lowerdir=/export/home/cbt-el7-10/docker/overlay2/l/NOALA4LPGXB2YU7EUJJM2JXIB4:/export/home/cbt-el7-10/docker/overlay2/l/7Y4XFKGTEEL5FY4IEDWDPOL3L2:/export/home/cbt-el7-10/docker/overlay2/l/PBKGI4VTKNDANHHDRH46HX5E3T:/export/home/cbt-el7-10/docker/overlay2/l/L7PG5C3G7TXPRM6PBI26DXLAW3:/export/home/cbt-el7-10/docker/overlay2/l/KPCOHKFO3P6K4W2HQIKGE4Z4JJ:/export/home/cbt-el7-10/docker/overlay2/l/7PLHMHY4VXFBRB3SYDZBZJH73P:/export/home/cbt-el7-10/docker/overlay2/l/CPZBGSKGYKVBNUV4'
Unexpected end of /proc/mounts line `O7T32ZAJGV:/export/home/cbt-el7-10/docker/overlay2/l/2LDYEDWN5RFZ4XI7MDMCOCOCME:/export/home/cbt-el7-10/docker/overlay2/l/I62R36ZJIWLQWUB6ZJ33QW5WNK:/export/home/cbt-el7-10/docker/overlay2/l/AP56TKJ53OKFCWUTGSQRDDF2DT:/export/home/cbt-el7-10/docker/overlay2/l/B5VGQBYMMTF6Q2GLECYPGANL6F:/export/home/cbt-el7-10/docker/overlay2/l/33RPELTWHVFBN4NGLGOGYU6BF7:/export/home/cbt-el7-10/docker/overlay2/l/AHCEG2E3RV4NIP3GTJICHVKMJE:/export/home/cbt-el7-10/docker/overlay2/l/OCQFHEEXL5UEXFPYTSYDD77NMM:/export/home/cbt-'
Unexpected end of /proc/mounts line `el7-10/docker/overlay2/l/LW6OP7N4ZVASKFVQBH32XGW7FM:/export/home/cbt-el7-10/docker/overlay2/l/MPGBRRGYPRPZGQ7OGQPQ6ZDA4O:/export/home/cbt-el7-10/docker/overlay2/l/LPNX6PGNS5PGIPRRVNO5Q237WR:/export/home/cbt-el7-10/docker/overlay2/l/I7A2UA3TP2EHIW5BY7BJNK35QB:/export/home/cbt-el7-10/docker/overlay2/l/RZ3DSDHNFVQYSMGH3DIETAVN6V:/export/home/cbt-el7-10/docker/overlay2/l/HTGJ577CRMOWU7KO65XO2MBBIZ:/export/home/cbt-el7-10/docker/overlay2/l/YJIZAZ3DQNQFYKOBVKYUTYSCCK:/export/home/cbt-el7-10/docker/overlay2/l/2MW'
Unexpected end of /proc/mounts line `WA7NNUHBWCUM76VGBHPOZJZ:/export/home/cbt-el7-10/docker/overlay2/l/DTAHL4Z4HF4T4C25SBWYZDF43K:/export/home/cbt-el7-10/docker/overlay2/l/HEJ2ONVVNSLG75TIPIOVAGJVP2:/export/home/cbt-el7-10/docker/overlay2/l/MZWETYVXDVOVQMJYG6IQD75563:/export/home/cbt-el7-10/docker/overlay2/l/6KAM4XPO4FR7LRLEX3O3K224H2:/export/home/cbt-el7-10/docker/overlay2/l/V3GRO5TDG5GRH3FO35M2IFTFRM:/export/home/cbt-el7-10/docker/overlay2/l/MS552CNHRMLKIP3YQNKTI7WDI2:/export/home/cbt-el7-10/docker/overlay2/l/UDT33352MIBOXBZV7IJ2LGHA4D:/exp'
/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py:2890: SyntaxWarning: "is" with a literal. Did you mean "=="?
  if deconvolver is 'mtmfs':
...2023-02-08 21:03:22	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C5:P0] [C6:P0] [C7:P0] [C8:P0] [C9:P0] 
.2023-02-08 21:03:37	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C5:P0] [C6:P0] [C7:P0] [C8:P0] [C9:P0] 
.2023-02-08 21:03:53	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C1:P0] [C4:P0] [C5:P0] [C6:P0] [C7:P0] 
...2023-02-08 21:04:38	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C5:P0] [C6:P0] [C7:P0] [C8:P0] [C9:P0] 
.The frame in start:BARY Override frame=TOPO
The frame in start:BARY Override frame=TOPO
2023-02-08 21:04:55	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C5:P0] [C6:P0] [C7:P0] [C8:P0] [C9:P0] 
The frame in start:BARY Override frame=TOPO
....2023-02-08 21:06:02	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C5:P0] [C6:P0] [C7:P0] [C8:P0] [C9:P0] 
.2023-02-08 21:06:18	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C6:P0] [C7:P0] 
....2023-02-08 21:07:18	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C0:P0] [C1:P0] [C2:P0] [C3:P0] [C4:P0] [C5:P0] 
...2023-02-08 21:08:04	WARN	SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038)	PSF is blank for[C0:P0] [C1:P0] 
...2023-02-08 21:08:46	WARN	SynthesisParamsImage::buildCoordinateSystem (file src/code/synthesis/ImagerObjects/SynthesisUtilMethods.cc, line 2459)	No rest frequency info, using the center of the selected spw(s):1.475e+09 Hz. Velocity labelling may not be correct.
.2023-02-08 21:09:17	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Error in running Minor Cycle : Cannot open existing image : tst.model : There is a shape mismatch between existing images ([1, 100, 100, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
2023-02-08 21:09:17	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Error in running Minor Cycle : Cannot open existing image : tst.model : There is a shape mismatch between existing images ([1, 100, 100, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
.2023-02-08 21:09:19	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Cannot open existing image : tst.pb : There is a shape mismatch between existing images ([1, 100, 100, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
2023-02-08 21:09:19	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Cannot open existing image : tst.pb : There is a shape mismatch between existing images ([1, 100, 100, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
.2023-02-08 21:09:22	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a shape mismatch between existing images ([100, 100, 1, 1]) and current parameters ([1, 100, 100, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
2023-02-08 21:09:22	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a shape mismatch between existing images ([100, 100, 1, 1]) and current parameters ([1, 100, 100, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
.2023-02-08 21:09:25	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a coordinate system mismatch between existing images on disk and current parameters (The pixel axes differ for coordinate number 0). If you are attempting to restart a run, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new coordinate system before continuing. 
2023-02-08 21:09:25	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a coordinate system mismatch between existing images on disk and current parameters (The pixel axes differ for coordinate number 0). If you are attempting to restart a run, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new coordinate system before continuing. 
..2023-02-08 21:09:28	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Internal Error: missing one or more of the required images: ['tst.psf']
2023-02-08 21:09:28	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Internal Error: missing one or more of the required images: ['tst.psf']
.2023-02-08 21:09:28	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Internal Error: missing one or more of the required images: ['tst.residual']
2023-02-08 21:09:28	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Internal Error: missing one or more of the required images: ['tst.residual']
..2023-02-08 21:09:33	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Error in running Minor Cycle : Cannot open existing image : tst.model : There is a shape mismatch between existing images ([2, 2, 1, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
2023-02-08 21:09:33	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Error in running Minor Cycle : Cannot open existing image : tst.model : There is a shape mismatch between existing images ([2, 2, 1, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
.2023-02-08 21:09:41	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Cannot open existing image : tst.pb : There is a shape mismatch between existing images ([2, 2, 1, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
2023-02-08 21:09:41	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Cannot open existing image : tst.pb : There is a shape mismatch between existing images ([2, 2, 1, 1]) and current parameters ([100, 100, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
.2023-02-08 21:09:45	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a shape mismatch between existing images ([100, 100, 1, 1]) and current parameters ([2, 2, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
2023-02-08 21:09:45	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a shape mismatch between existing images ([100, 100, 1, 1]) and current parameters ([2, 2, 1, 1]). If you are attempting to restart a run with a new image shape, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new shape before continuing.
.2023-02-08 21:09:48	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a coordinate system mismatch between existing images on disk and current parameters (The DirectionCoordinates have differing LinearXform components). If you are attempting to restart a run, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new coordinate system before continuing. 
2023-02-08 21:09:48	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Error initializing the Minor Cycle for tst : Cannot open existing image : tst.mask : There is a coordinate system mismatch between existing images on disk and current parameters (The DirectionCoordinates have differing LinearXform components). If you are attempting to restart a run, please change imagename and supply the old model or mask as inputs (via the startmodel or mask parameters) so that they can be regridded to the new coordinate system before continuing. 
.2023-02-08 21:09:50	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Error initializing the Minor Cycle for tst : Error in setting  starting model for deconvolution: Error in regridding input model image to target coordsys : ImageRegrid error : LatticeIterInterface::ok - Navigator Lattice and Data Lattice have different shapes
2023-02-08 21:09:50	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Error initializing the Minor Cycle for tst : Error in setting  starting model for deconvolution: Error in regridding input model image to target coordsys : ImageRegrid error : LatticeIterInterface::ok - Navigator Lattice and Data Lattice have different shapes
.s.2023-02-08 21:09:57	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Internal Error: parameter startmodel set to "doesnotexists.model" but that file does not exist
2023-02-08 21:09:57	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Internal Error: parameter startmodel set to "doesnotexists.model" but that file does not exist
.s2023-02-08 21:10:00	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Internal Error: imagename.model already exists! Either parameter startmodel must not be set ('') or imagename.model (tst.model) must not exist.
2023-02-08 21:10:00	SEVERE	deconvolve::deconvolve::casa+		Either unset startmodel or remove tst.model to continue
2023-02-08 21:10:00	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Internal Error: imagename.model already exists! Either parameter startmodel must not be set ('') or imagename.model (tst.model) must not exist.
2023-02-08 21:10:00	SEVERE	deconvolve::::casa+		Either unset startmodel or remove tst.model to continue
../usr/local/lib/python3.8/site-packages/casatools/typecheck.py:93: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.
  if isinstance(value,bool) or isinstance(value,numpy.bool):
EEEEEEEEEEE2023-02-08 21:10:36	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Internal Error: 'mask' parameter specified as a filename 'tst.mask.txt', but no such file exists
2023-02-08 21:10:36	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Internal Error: 'mask' parameter specified as a filename 'tst.mask.txt', but no such file exists
.EE2023-02-08 21:11:13	WARN	SDMaskHandler::autoMaskByMultiThreshold (file src/code/synthesis/ImagerObjects/SDMaskHandler.cc, line 2228)	Faint regions may not be included in the final mask. Consider decreasing cutthreshold.
..s.....E.......s2023-02-08 21:11:57	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : The parameter nsigma>0 (1.5) requires a .pb image to be available.
2023-02-08 21:11:57	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : The parameter nsigma>0 (1.5) requires a .pb image to be available.
.s.2023-02-08 21:12:00	WARN	SIImageStore::rescaleResolution (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 1592)	Cannot convolve to new beam for Channel : 0 : Source may be only (slightly) resolved in one direction
.2023-02-08 21:12:02	WARN	SDMaskHandler::autoMaskByMultiThreshold (file src/code/synthesis/ImagerObjects/SDMaskHandler.cc, line 3069)	No regions found by automasking
2023-02-08 21:12:02	WARN	SDMaskHandler::autoMaskByMultiThreshold (file src/code/synthesis/ImagerObjects/SDMaskHandler.cc, line 3069)	Used sidelobe threshold to mask, but no emission was found.Try decreasing your sidelobethreshold parameter if you want to capture emission in these channels.
2023-02-08 21:12:02	WARN	SIImageStore::restore (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2247)	Restoring with an empty model image. Only residuals will be processed to form the output restored image.
....2023-02-08 21:12:14	SEVERE	deconvolve::deconvolve::casa	Exception from deconvolve : Need PB/Sensitivity/Weight image before a PB-based mask can be made for tst
2023-02-08 21:12:14	SEVERE	deconvolve::::casa	Task deconvolve raised an exception of class RuntimeError with the following message: Exception from deconvolve : Need PB/Sensitivity/Weight image before a PB-based mask can be made for tst
..
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ssssssssssssssssssssEEEssEE
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EEEEEEEEEsEEsE....s.
0%....10....20....30....40....50....60....70....80....90....100%

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...E.s
======================================================================
ERROR: test_iterbot_mfs_4 (__main__.test_iterbot)
[iterbot] test_iterbot_mfs_4
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1052, in test_iterbot_mfs_4
    results = deconvolve(imagename=self.img, deconvolver='clark', niter=14, gain=0.15, interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_iterbot_mfs_5 (__main__.test_iterbot)
[iterbot] test_iterbot_mfs_5
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1065, in test_iterbot_mfs_5
    results = deconvolve(imagename=self.img, deconvolver='clark', niter=10, threshold='0.5Jy', gain=0.15, interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_iterbot_threshold_num (__main__.test_iterbot)
[iterbot] test_iterbot_threshold_num
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1090, in test_iterbot_threshold_num
    results = deconvolve(imagename=self.img, threshold=2e-3, niter=2000, interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_iterbot_threshold_str (__main__.test_iterbot)
[iterbot] test_iterbot_threshold_str
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1078, in test_iterbot_threshold_str
    results = deconvolve(imagename=self.img, threshold='2mJy', niter=2000, interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_1 (__main__.test_mask)
[mask] test_mask_1
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1756, in test_mask_1
    deconvolve(imagename=self.img, niter=10, deconvolver='hogbom', interactive=0, usemask='user', mask=self.img+'.mask.txt')
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_2 (__main__.test_mask)
[mask] test_mask_2
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1776, in test_mask_2
    self.prepData('refim_point.ms', delold=False, tclean_args={'imsize':100,'cell':'8.0arcsec','deconvolver':'hogbom','specmode':'cube','interactive':0,'usemask':'user','mask':self.img+'.mask.txt'})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 866, in prepData
    tclean_args = type(self).staticPrepData(self.imgsrc+'.ms', tclean_args, self.parallel)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 835, in staticPrepData
    tclean(**tclean_args)
  File "/usr/local/lib/python3.8/site-packages/casatasks/tclean.py", line 1748, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_autobox_multithresh (__main__.test_mask)
[mask] test_mask_autobox_multithresh
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1871, in test_mask_autobox_multithresh
    self.prepData('refim_twochan.ms', tclean_args={'imsize':100,'cell':'8.0arcsec','deconvolver':'hogbom','interactive':0,'usemask':'auto-multithresh'})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 866, in prepData
    tclean_args = type(self).staticPrepData(self.imgsrc+'.ms', tclean_args, self.parallel)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 835, in staticPrepData
    tclean(**tclean_args)
  File "/usr/local/lib/python3.8/site-packages/casatasks/tclean.py", line 1748, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_autobox_multithresh_newnoise (__main__.test_mask)
[mask] test_mask_autobox_multithresh_newnoise
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1882, in test_mask_autobox_multithresh_newnoise
    self.prepData('refim_twochan.ms', tclean_args={'imsize':100,'cell':'8.0arcsec','deconvolver':'hogbom','interactive':0,'usemask':'auto-multithresh','fastnoise':False})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 866, in prepData
    tclean_args = type(self).staticPrepData(self.imgsrc+'.ms', tclean_args, self.parallel)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 835, in staticPrepData
    tclean(**tclean_args)
  File "/usr/local/lib/python3.8/site-packages/casatasks/tclean.py", line 1748, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_autobox_multithresh_with_nsigma (__main__.test_mask)
[mask] test_mask_autobox_multithresh_with_nsigma
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1893, in test_mask_autobox_multithresh_with_nsigma
    self.prepData('refim_twochan.ms', tclean_args={'imsize':100,'cell':'8.0arcsec','deconvolver':'hogbom','interactive':0,'usemask':'auto-multithresh'})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 866, in prepData
    tclean_args = type(self).staticPrepData(self.imgsrc+'.ms', tclean_args, self.parallel)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 835, in staticPrepData
    tclean(**tclean_args)
  File "/usr/local/lib/python3.8/site-packages/casatasks/tclean.py", line 1748, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_autobox_multithresh_with_nsigma_newnoise (__main__.test_mask)
[mask] test_mask_autobox_multithresh_with_nsigma_newnoise
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1904, in test_mask_autobox_multithresh_with_nsigma_newnoise
    self.prepData('refim_twochan.ms', tclean_args={'imsize':100,'cell':'8.0arcsec','deconvolver':'hogbom','interactive':0,'usemask':'auto-multithresh'})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 866, in prepData
    tclean_args = type(self).staticPrepData(self.imgsrc+'.ms', tclean_args, self.parallel)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 835, in staticPrepData
    tclean(**tclean_args)
  File "/usr/local/lib/python3.8/site-packages/casatasks/tclean.py", line 1748, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_autobox_multithresh_with_prune (__main__.test_mask)
[mask] test_mask_autobox_multithresh_with_prune
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1915, in test_mask_autobox_multithresh_with_prune
    self.prepData('refim_twochan.ms', tclean_args={'imsize':1000,'cell':'8.0arcsec','deconvolver':'hogbom','interactive':0,'usemask':'auto-multithresh'})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 866, in prepData
    tclean_args = type(self).staticPrepData(self.imgsrc+'.ms', tclean_args, self.parallel)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 835, in staticPrepData
    tclean(**tclean_args)
  File "/usr/local/lib/python3.8/site-packages/casatasks/tclean.py", line 1748, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_pbmask0 (__main__.test_mask)
[mask] test_mask_pbmask0
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1828, in test_mask_pbmask0
    ret = deconvolve(imagename=self.img, niter=10, deconvolver='hogbom', interactive=0, usemask='pb')
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_mask_pbmask995 (__main__.test_mask)
[mask] test_mask_pbmask995
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1853, in test_mask_pbmask995
    ret = deconvolve(imagename=self.img, niter=10, deconvolver='hogbom', interactive=0, usemask='pb', pbmask=0.995)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_minimages_interactive (__main__.test_minimages)
[minimages] test_minimages_interactive
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3366, in test_minimages_interactive
    deconvolve(imagename=self.img, niter=10, interactive=0)#=False,
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_multirun_clarkclark (__main__.test_multirun)
[multirun] test_multirun_clarkclark
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1966, in test_multirun_clarkclark
    results1 = deconvolve(imagename=self.img, deconvolver='clark', niter=400, threshold='1mJy', gain=0.03, interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_multirun_clarkstokesclarkstokes (__main__.test_multirun)
[multirun] test_multirun_clarkstokesclarkstokes
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1994, in test_multirun_clarkstokesclarkstokes
    results1 = deconvolve(imagename=self.img, deconvolver='clarkstokes', niter=400, threshold='1mJy', gain=0.01, interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_multirun_hogbomhogbom (__main__.test_multirun)
[multirun] test_multirun_hogbomhogbom
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 1938, in test_multirun_hogbomhogbom
    results1 = deconvolve(imagename=self.img, deconvolver='hogbom', niter=399, threshold='1mJy', interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_multirun_multiscalehog (__main__.test_multirun)
[multirun] test_multirun_multiscalehog
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 2147, in test_multirun_multiscalehog
    results1 = deconvolve(imagename=self.img, niter=10, deconvolver='multiscale', scales=[0,20,40,100], interactive=0, restoration=False, threshold='1mJy')
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_multirun_multiscalemultiscale (__main__.test_multirun)
" [multirun] test_multirun_multiscalemultiscale
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 2021, in test_multirun_multiscalemultiscale
    results1 = deconvolve(imagename=self.img, deconvolver='multiscale', scales=[10,20,40,100], niter=400, threshold='1mJy', interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_multirun_norestore_restore (__main__.test_multirun)
[multirun] test_multirun_norestore_restore
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 2162, in test_multirun_norestore_restore
    results1 = deconvolve(imagename=self.img, niter=10, restoration=False,interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_gain_1 (__main__.test_niterparms)
[niterparms] test_niterparms_gain_1
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3111, in test_niterparms_gain_1
    report = self.helper_deconvolve_check_iterdone('gain', param_val=0.2, expected_iter=14, extra_params={'threshold':0.1})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_gain_2 (__main__.test_niterparms)
[niterparms] test_niterparms_gain_2
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3122, in test_niterparms_gain_2
    report = self.helper_deconvolve_check_iterdone('gain', param_val=0.3, expected_iter=9, extra_params={'threshold':0.1})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_nsigma_1 (__main__.test_niterparms)
[niterparms] test_niterparms_nsigma_1
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3182, in test_niterparms_nsigma_1
    report = self.helper_deconvolve_check_iterdone('nsigma', param_val=3, expected_iter=60, extra_params={'threshold': 0.001})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_nsigma_2 (__main__.test_niterparms)
[niterparms] test_niterparms_nsigma_2
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3194, in test_niterparms_nsigma_2
    report = self.helper_deconvolve_check_iterdone('nsigma', param_val=1.5, expected_iter=79, extra_params={'threshold': 0.001})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_threshold_1 (__main__.test_niterparms)
[niterparms] test_niterparms_threshold_1
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3133, in test_niterparms_threshold_1
    report = self.helper_deconvolve_check_iterdone('threshold', param_val=0.22, expected_iter=16)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_threshold_2 (__main__.test_niterparms)
[niterparms] test_niterparms_threshold_2
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3144, in test_niterparms_threshold_2
    report = self.helper_deconvolve_check_iterdone('threshold', param_val=0.18, expected_iter=19)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_threshold_3 (__main__.test_niterparms)
[niterparms] test_niterparms_threshold_3
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3155, in test_niterparms_threshold_3
    report = self.helper_deconvolve_check_iterdone('threshold', param_val=0.01, expected_iter=112)
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_niterparms_unset (__main__.test_niterparms)
[niterparms] test_niterparms_unset
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3170, in test_niterparms_unset
    report = self.helper_deconvolve_check_iterdone(expected_iter=300, extra_params={'gain':0.15})
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3099, in helper_deconvolve_check_iterdone
    results = deconvolve(imagename=self.img, deconvolver='clark', interactive=0, restoration=False, **da)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_onefield_clark (__main__.test_onefield)
[onefield] test_onefield_clark
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 941, in test_onefield_clark
    results = deconvolve(imagename=self.img, niter=10, deconvolver='clark', interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_onefield_hogbom (__main__.test_onefield)
[onefield] test_onefield_hogbom
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 929, in test_onefield_hogbom
    results = deconvolve(imagename=self.img, niter=10, deconvolver='hogbom', interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_onefield_multiscale (__main__.test_onefield)
[onefield] test_onefield_multiscale
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 953, in test_onefield_multiscale
    results = deconvolve(imagename=self.img, niter=10, deconvolver='multiscale', scales=[0,20,40,100], interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_restoration_onlyrestore (__main__.test_restoration)
[restoration] test_restoration_onlyrestore
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/casatest/casa6/casatasks/tests/tasks/test_task_deconvolve.py", line 3037, in test_restoration_onlyrestore
    results = deconvolve(imagename=self.img, niter=10, restoration=False,interactive=0)
  File "/usr/local/lib/python3.8/site-packages/casatasks/deconvolve.py", line 454, in __call__
    assert _pc.validate(doc,schema), create_error_string(_pc.errors)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 56, in _validate_anyof
    valids, _errors = self.__validate_anyof('anyof', definitions, field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 44, in __validate_anyof
    if validator(self.document, update=self.update, normalize=True):
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 828, in validate
    self.__validate_definitions(definitions, field)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 892, in __validate_definitions
    result = validate_rule(rule)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 874, in validate_rule
    return validator(definitions.get(rule, None), field, value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in _validate_type
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/__cerberus__/validator.py", line 1214, in <genexpr>
    if not any(self.__get_rule_handler('validate_type', x)(value)
  File "/usr/local/lib/python3.8/site-packages/casatools/typecheck.py", line 93, in _validate_type_cBool
    if isinstance(value,bool) or isinstance(value,numpy.bool):
  File "/usr/local/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

----------------------------------------------------------------------
Ran 138 tests in 794.600s

FAILED (errors=32, skipped=31)