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.
- 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
..
0%....10....20....30....40....50....60....70....80....90....100%
ssssssssssssssssssssEEEssEE
0%....10....20....30....40....50....60....70....80....90....100%
EEEEEEEEEsEEsE....s.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
...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)