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_tclean
- Method
- full log
- Duration
- 135 mins
- Status
- Failed (New Failure)
Error Log
2023-02-08 23:45:54 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'
...2023-02-08 23:47:20 WARN task_tclean::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 23:47:38 WARN task_tclean::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 23:47:57 WARN task_tclean::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 23:49:11 WARN task_tclean::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 23:49:39 WARN task_tclean::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 23:51:15 WARN task_tclean::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 23:51:41 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C6:P0] [C7:P0]
....2023-02-08 23:53:12 WARN task_tclean::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 23:54:22 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0] [C1:P0]
.....2023-02-08 23:56:50 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 23:57:36 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 23:58:08 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 23:58:41 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.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
./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):
Es....2023-02-09 00:02:45 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C9:P0]
.2023-02-09 00:03:07 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0]
.........EEsEsE..EEssEEEE2023-02-09 00:09:07 WARN SynthesisParamsImage::buildCoordinateSystem (file src/code/synthesis/ImagerObjects/SynthesisUtilMethods.cc, line 2086) imsize with 98 pixels is not an efficient imagesize. Try 100 instead.
2023-02-09 00:09:07 SEVERE tclean::::casa Task tclean raised an exception of class RuntimeError with the following message: Invalid Image Parameter set : Invalid Frequency Frame fail_!
.2023-02-09 00:09:12 SEVERE task_tclean::FTMachine::initMaps number of pixels 6 on x axis is smaller that the gridding support 6 Please use a larger value
2023-02-09 00:09:12 WARN task_tclean::SynthesisImagerVi2::CubeMajorCycle (file src/code/synthesis/ImagerObjects/CubeMajorCycleAlgorithm.cc, line 338) Exception for chan range [0, 9] --- Error in making PSF : 2023-02-09 00:09:12 SEVERE task_tclean::FTMachine::initMaps number of pixels 6 on x axis is smaller that the gridding support 6 Please use a larger value
##################################
#############################
Exception: Error in making PSF : 2023-02-09 00:09:12 SEVERE task_tclean::FTMachine::initMaps number of pixels 6 on x axis is smaller that the gridding support 6 Please use a larger value
2023-02-09 00:09:12 SEVERE task_tclean::SynthesisImagerVi2::runCubeGridding (file src/code/synthesis/ImagerObjects/SynthesisImagerVi2.cc, line 1572) remainder rank 0 failed
2023-02-09 00:09:12 SEVERE tclean::::casa Task tclean raised an exception of class RuntimeError with the following message: Error in making PSF : One or more of the cube section failed in de/gridding. Return values for the sections: [0]
.2023-02-09 00:09:12 WARN Field Expression: Found out-of-range index(s) in the list (33 ) [TIP: Double-quoted strings forces name matching]
2023-02-09 00:09:12 SEVERE tclean::::casa Task tclean raised an exception of class RuntimeError with the following message: Error in selectData() : Field Expression: Partial or no match for Field ID list [33]
2023-02-09 00:09:12 SEVERE tclean::::casa+ (near char. 2 in string "33")
.2023-02-09 00:09:12 SEVERE tclean::::casa Task tclean raised an exception of class RuntimeError with the following message: Error in selectData() : Spw Expression: No match found for 33,
.E.2023-02-09 00:14:01 WARN SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:14:01 WARN SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:14:01 WARN SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:14:02 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:14:02 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:14:02 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:14:12 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:14:12 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:14:12 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:14:24 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:14:24 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:14:24 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:14:35 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:14:35 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:14:35 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:14:46 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:14:46 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:14:46 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:14:57 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:14:57 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:14:57 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:15:13 WARN SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:15:13 WARN SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:15:13 WARN SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:15:14 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:15:14 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:15:14 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:15:26 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:15:26 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:15:26 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:15:38 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:15:38 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:15:38 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:15:51 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:15:51 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:15:51 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
2023-02-09 00:16:04 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040) vpmanager does not have a beam for antenna : NGVLA1.
2023-02-09 00:16:04 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ If needed, please use the vpanager to define one (and optionally save its state as a table and supply its name via the vptable parameter.).
2023-02-09 00:16:04 WARN task_tclean::SynthesisImager::getVPRecord (file src/code/synthesis/ImagerObjects/SynthesisImager.cc, line 2040)+ For now, we will proceed by reading dish diameters from the ANTENNA subtable, and form Airy disk beams.
.ss2023-02-09 00:16:17 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:16:25 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:16:25 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:16:44 WARN task_tclean::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.
2023-02-09 00:17:01 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:17:09 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:17:09 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:17:34 WARN task_tclean::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.
2023-02-09 00:17:36 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:17:45 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:17:45 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:18:14 WARN task_tclean::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.
2023-02-09 00:18:16 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:18:28 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:18:28 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:18:57 WARN task_tclean::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.
2023-02-09 00:19:00 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:19:09 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:19:09 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:19:34 WARN task_tclean::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.
.2023-02-09 00:19:53 WARN task_tclean::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.
2023-02-09 00:19:54 WARN task_tclean::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.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:20:08 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 00:20:08 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:20:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 00:20:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:20:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 00:20:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:20:42 WARN task_tclean::MultiTermMatrixCleaner::computeHessianPeak (file src/code/synthesis/MeasurementEquations/MultiTermMatrixCleaner.cc, line 844) The PSF peak is not at the center of the image...
2023-02-09 00:20:42 WARN task_tclean::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.
2023-02-09 00:20:42 WARN task_tclean::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.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:22:04 WARN task_tclean::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.
2023-02-09 00:22:05 WARN task_tclean::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.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:22:20 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 00:22:20 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:22:22 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 00:22:22 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:22:22 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 00:22:22 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:22:50 WARN task_tclean::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.
2023-02-09 00:22:51 WARN task_tclean::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.
.EEEEE2023-02-09 00:23:59 WARN task_tclean::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.
E2023-02-09 00:24:20 WARN ImageRegridder::_doImagesOverlap At least one of the images exceeds one degree on at one side, not checking for direction plane overlap.
EEEEEEEEEEEEEE2023-02-09 00:24:46 WARN ImageRegridder::_doImagesOverlap At least one of the images exceeds one degree on at one side, not checking for direction plane overlap.
EEEEEEEEEEEEEEEEEssEEEEEEEEEEEssE.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
..
0%....10....20....30....40....50....60....70....80....90....100%
..2023-02-09 00:35:02 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.
2023-02-09 00:35:28 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.
0%....10....20....30....40....50....60....70....80....90....100%
.2023-02-09 00:36:30 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.
2023-02-09 00:36:59 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.
.2023-02-09 00:37:07 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.
2023-02-09 00:37:26 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.
0%....10....20....30....40....50....60....70....80....90....100%
.2023-02-09 00:38:06 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.
2023-02-09 00:38:22 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.
.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
..
0%....10....20....30....40....50....60....70....80....90....100%
..2023-02-09 00:42:26 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.
2023-02-09 00:42:56 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.
0%....10....20....30....40....50....60....70....80....90....100%
.2023-02-09 00:43:18 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.
2023-02-09 00:43:54 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.
.2023-02-09 00:44:01 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.
2023-02-09 00:44:23 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.
0%....10....20....30....40....50....60....70....80....90....100%
.2023-02-09 00:44:47 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.
2023-02-09 00:45:09 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.
..
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
..2023-02-09 00:48:25 WARN SynthesisParamsImage::buildCoordinateSystem (file src/code/synthesis/ImagerObjects/SynthesisUtilMethods.cc, line 2459) No rest frequency info, using the center of the selected spw(s):1.425e+09 Hz. Velocity labelling may not be correct.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 00:49:49 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.
0%....10....20....30....40....50....60....70....80....90....100%
.2023-02-09 00:50:41 WARN SynthesisParamsImage::buildCoordinateSystem (file src/code/synthesis/ImagerObjects/SynthesisUtilMethods.cc, line 2459) No rest frequency info, using the center of the selected spw(s):1.425e+09 Hz. Velocity labelling may not be correct.
2023-02-09 00:50:44 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0]
2023-02-09 00:50:57 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.
.
0%....10....20....30....40....50....60....70....80....90....100%
.2023-02-09 00:52:53 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
2023-02-09 00:52:54 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:52:54 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:53:07 WARN task_tclean::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.
2023-02-09 00:53:12 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
.2023-02-09 00:53:30 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
2023-02-09 00:53:30 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:53:30 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:53:40 WARN task_tclean::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.
2023-02-09 00:53:44 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
.2023-02-09 00:54:13 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
2023-02-09 00:54:14 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:54:14 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:54:25 WARN task_tclean::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.
2023-02-09 00:54:28 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
.2023-02-09 00:54:47 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
2023-02-09 00:54:47 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:54:47 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:55:01 WARN task_tclean::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.
2023-02-09 00:55:03 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
.2023-02-09 00:55:22 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
2023-02-09 00:55:22 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:55:22 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:55:29 WARN task_tclean::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.
2023-02-09 00:55:32 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
.2023-02-09 00:55:52 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
2023-02-09 00:55:53 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 00:55:53 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 00:56:01 WARN task_tclean::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.
2023-02-09 00:56:03 WARN tclean::task_tclean::casa The gridder='awproject' has not been fully tested for 'cube' imaging (parallel=True or False). Formal commissioning of this mode is expected in a subsequent release, where 'awproject' will be aligned with recent framework changes. Until then, please report errors/crashes if seen.
.2023-02-09 00:56:31 WARN task_tclean::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.
.2023-02-09 00:57:06 WARN task_tclean::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.
.2023-02-09 00:57:36 WARN task_tclean::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.
.2023-02-09 00:58:12 WARN task_tclean::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.
.2023-02-09 00:58:53 WARN task_tclean::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.
.2023-02-09 00:59:23 WARN task_tclean::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.
.2023-02-09 00:59:55 WARN task_tclean::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.
.2023-02-09 01:00:20 WARN task_tclean::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.
.2023-02-09 01:00:55 WARN task_tclean::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.
.2023-02-09 01:01:21 WARN task_tclean::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.
.2023-02-09 01:01:58 WARN task_tclean::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.
.s2023-02-09 01:02:40 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:02:40 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:02:40 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:02:40 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:02:40 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:02:40 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:02:58 WARN task_tclean::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.
2023-02-09 01:02:58 WARN task_tclean::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.
.2023-02-09 01:03:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:03:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:03:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:03:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:03:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:03:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:03:52 WARN task_tclean::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.
2023-02-09 01:03:53 WARN task_tclean::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.
.2023-02-09 01:04:32 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:04:32 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:04:32 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:04:32 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:04:32 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:04:32 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:04:48 WARN task_tclean::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.
2023-02-09 01:04:48 WARN task_tclean::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.
.2023-02-09 01:05:44 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:05:44 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:05:45 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:05:45 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:05:45 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:05:45 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:06:14 WARN task_tclean::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.
2023-02-09 01:06:15 WARN task_tclean::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.
.2023-02-09 01:07:13 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:07:13 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:07:13 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:07:13 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:07:13 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:07:13 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:07:31 WARN task_tclean::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.
2023-02-09 01:07:31 WARN task_tclean::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.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:08:43 WARN task_tclean::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.
2023-02-09 01:08:45 WARN task_tclean::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.
2023-02-09 01:09:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:09:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:09:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:09:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:09:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:09:10 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:09:27 WARN task_tclean::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.
2023-02-09 01:09:27 WARN task_tclean::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.
2023-02-09 01:09:35 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.
2023-02-09 01:09:35 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.
.2023-02-09 01:09:46 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:09:46 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:09:46 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:09:46 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:09:46 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:09:46 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:10:05 WARN task_tclean::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.
2023-02-09 01:10:06 WARN task_tclean::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.
.2023-02-09 01:10:52 WARN task_tclean::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.
2023-02-09 01:10:52 WARN task_tclean::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.
2023-02-09 01:10:59 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:10:59 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:10:59 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:10:59 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:10:59 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:10:59 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:11:13 WARN task_tclean::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.
2023-02-09 01:11:14 WARN task_tclean::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.
2023-02-09 01:11:26 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.
2023-02-09 01:11:26 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.
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:11:53 WARN task_tclean::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.
2023-02-09 01:11:54 WARN task_tclean::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.
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:12:58 WARN task_tclean::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.
2023-02-09 01:12:59 WARN task_tclean::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.
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:14:14 WARN task_tclean::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.
2023-02-09 01:14:14 WARN task_tclean::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.
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:15:19 WARN task_tclean::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.
2023-02-09 01:15:20 WARN task_tclean::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.
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:16:07 WARN task_tclean::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.
2023-02-09 01:16:08 WARN task_tclean::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.
.2023-02-09 01:16:46 WARN task_tclean::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.
2023-02-09 01:16:46 WARN task_tclean::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.
2023-02-09 01:17:04 WARN task_tclean::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.
2023-02-09 01:17:05 WARN task_tclean::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.
2023-02-09 01:17:10 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.
2023-02-09 01:17:10 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.
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:17:36 WARN task_tclean::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.
2023-02-09 01:17:37 WARN task_tclean::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.
.2023-02-09 01:18:16 WARN task_tclean::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.
2023-02-09 01:18:16 WARN task_tclean::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.
2023-02-09 01:18:33 WARN task_tclean::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.
2023-02-09 01:18:33 WARN task_tclean::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.
2023-02-09 01:18:38 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.
2023-02-09 01:18:38 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.
.
0%....10....20....30....40....50....60....70....80....90....100%
.2023-02-09 01:19:28 WARN task_tclean::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.
2023-02-09 01:19:29 WARN task_tclean::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.
2023-02-09 01:19:38 WARN widebandpbcor::::casa widebandpbcor is a temporary task, meant for use until a widebandpbcor option is enabled from within the tclean task.
2023-02-09 01:20:21 WARN widebandpbcor::::casa widebandpbcor is a temporary task, meant for use until a widebandpbcor option is enabled from within the tclean task.
.2023-02-09 01:20:51 WARN task_tclean::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.
2023-02-09 01:20:53 WARN task_tclean::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.
2023-02-09 01:21:02 WARN widebandpbcor::::casa widebandpbcor is a temporary task, meant for use until a widebandpbcor option is enabled from within the tclean task.
2023-02-09 01:21:44 WARN widebandpbcor::::casa widebandpbcor is a temporary task, meant for use until a widebandpbcor option is enabled from within the tclean task.
.2023-02-09 01:22:03 WARN task_tclean::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.
2023-02-09 01:22:05 WARN task_tclean::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.
2023-02-09 01:22:19 WARN task_tclean::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.
2023-02-09 01:22:20 WARN task_tclean::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.
2023-02-09 01:22:39 WARN task_tclean::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.
2023-02-09 01:23:05 WARN task_tclean::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.
2023-02-09 01:23:07 WARN task_tclean::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.
/usr/local/lib/python3.8/site-packages/casatasks/private/imagerhelpers/input_parameters.py:461: ResourceWarning: unclosed file <_io.TextIOWrapper name='tst.out.txt' mode='r' encoding='UTF-8'>
outlierpars,parseerrors = self.parseOutlierFile(self.outlierfile)
ResourceWarning: Enable tracemalloc to get the object allocation traceback
.EEEEEEE.
0%....10....20....30....40....50....60....70....80....90....100%
.EEEEEE2023-02-09 01:24:41 WARN task_tclean::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.
2023-02-09 01:24:53 WARN task_tclean::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.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:25:13 WARN task_tclean::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.
.EEEEEEEEEEEEEEE.
0%....10....20....30....40....50....60....70....80....90....100%
.EEE.E.E....2023-02-09 01:28:05 WARN task_tclean::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.
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:28:49 WARN task_tclean::SIImageStoreMultiTerm::pbcorPlane (file src/code/synthesis/ImagerObjects/SIImageStoreMultiTerm.cc, line 1157) Wideband (multi-term) PB correction is not yet available via tclean in the 4.7 release. Please use the widebandpbcor task instead.
.2023-02-09 01:28:57 WARN task_tclean::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.
.2023-02-09 01:29:12 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.
2023-02-09 01:29:21 WARN task_tclean::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.
2023-02-09 01:29:25 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.
2023-02-09 01:29:38 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.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:30:40 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.
2023-02-09 01:30:51 WARN task_tclean::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.
2023-02-09 01:30:59 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.
2023-02-09 01:31:11 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.
0%....10....20....30....40....50....60....70....80....90....100%
.sEEEEEEE
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
.EEEEEEEE......2023-02-09 01:37:03 WARN task_tclean::SynthesisImagerVi2::runCubeGridding (file src/code/synthesis/ImagerObjects/SynthesisImagerVi2.cc, line 1572) Error : Error in copying internal T/F mask : Invalid Table operation: SetupNewTable /home/casatest/casa6/casatasks/tests/work/test_task_tclean/tst_5.residual/mask0 is already opened (is in the table cache)
2023-02-09 01:37:44 WARN task_tclean::SynthesisImagerVi2::runCubeGridding (file src/code/synthesis/ImagerObjects/SynthesisImagerVi2.cc, line 1572) Error : Error in copying internal T/F mask : Invalid Table operation: SetupNewTable /home/casatest/casa6/casatasks/tests/work/test_task_tclean/tst_5.residual/mask0 is already opened (is in the table cache)
2023-02-09 01:38:03 WARN task_tclean::SynthesisImagerVi2::runCubeGridding (file src/code/synthesis/ImagerObjects/SynthesisImagerVi2.cc, line 1572) Error : Error in copying internal T/F mask : Invalid Table operation: SetupNewTable /home/casatest/casa6/casatasks/tests/work/test_task_tclean/tst_7.residual/mask0 is already opened (is in the table cache)
.2023-02-09 01:40:06 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0] [C1:P0] [C2:P0]
2023-02-09 01:40:10 WARN task_tclean::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.
2023-02-09 01:40:48 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0]
2023-02-09 01:40:50 WARN task_tclean::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.
2023-02-09 01:41:02 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0]
2023-02-09 01:41:05 WARN task_tclean::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.
2023-02-09 01:41:10 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0]
..2023-02-09 01:45:05 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0]
2023-02-09 01:45:08 WARN task_tclean::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.
2023-02-09 01:45:51 WARN task_tclean::SIImageStore::getPSFGaussian (file src/code/synthesis/ImagerObjects/SIImageStore.cc, line 2038) PSF is blank for[C0:P0]
2023-02-09 01:45:55 WARN task_tclean::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.
....GET chanRange [0, 2]
..
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:48:47 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 01:48:47 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:51:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:51:38 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:51:41 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:51:41 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:51:41 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:51:41 WARN AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:52:01 WARN task_tclean::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.
2023-02-09 01:52:02 WARN task_tclean::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.
....
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:57:39 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation during gridding to compute sensitivity pattern.
2023-02-09 01:57:39 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 01:59:49 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 0 during gridding to compute sensitivity pattern.
2023-02-09 01:59:49 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:59:53 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 1 during gridding to compute sensitivity pattern.
2023-02-09 01:59:53 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
2023-02-09 01:59:53 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D] Setting up for weights accumulation for term 2 during gridding to compute sensitivity pattern.
2023-02-09 01:59:53 WARN task_tclean::AWProjectWBFT2::makeSensitivityImage(Complex)[R&D]+ Consequently, the first gridding cycle will be slower than the subsequent ones.
0%....10....20....30....40....50....60....70....80....90....100%
0%....10....20....30....40....50....60....70....80....90....100%
.s2023-02-09 02:01:02 WARN task_tclean::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.
.2023-02-09 02:01:19 WARN task_tclean::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.
.
0%....10....20....30....40....50....60....70....80....90....100%
2023-02-09 02:01:42 WARN task_tclean::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.
.
======================================================================
ERROR: test_cube_common_restoringbeam (__main__.test_cube)
[cube] Test_cube_restoringbeam (cas10849/10946) : Test parallel and serial run on same refconcat images
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 2837, in test_cube_common_restoringbeam
ret = tclean(vis=self.msfile,imagename=self.img,
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_cube_flagged_mosaic_clark (__main__.test_cube)
CAS-12957: 0-value channels aren't skipped with gridder=mosaic and initial channels are flagged
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 2981, in test_cube_flagged_mosaic_clark
ret = tclean(self.msfile, imagename=self.img, specmode='cube', imsize=20, cell='8.0arcsec', scales=[0,5,10], niter=10, cycleniter=10, threshold=0, nchan=2, spw='0', interactive=0, \
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_cube_flagged_mosaic_hogbom (__main__.test_cube)
CAS-12957: 0-value channels aren't skipped with gridder=mosaic and initial channels are flagged
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 2964, in test_cube_flagged_mosaic_hogbom
ret = tclean(self.msfile, imagename=self.img, specmode='cube', imsize=20, cell='8.0arcsec', scales=[0,5,10], niter=10, cycleniter=10, threshold=0, nchan=2, spw='0', interactive=0, \
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_cube_flagged_mosaic_multiscale (__main__.test_cube)
CAS-12957: 0-value channels aren't skipped with gridder=mosaic and initial channels are flagged
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 2991, in test_cube_flagged_mosaic_multiscale
ret = tclean(self.msfile, imagename=self.img, specmode='cube', imsize=20, cell='8.0arcsec', scales=[0,5,10], niter=10, cycleniter=10, threshold=0, nchan=2, spw='0', interactive=0, \
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_cube_perchanweight_briggs (__main__.test_cube)
[cube] test_cube_perchanweight_briggs:
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 2539, in test_cube_perchanweight_briggs
retnat = tclean(vis=self.msfile,imagename=imnat,imsize=100,cell='8.0arcsec',specmode='cube',deconvolver='hogbom',niter=1,threshold='0Jy',interactive=0, weighting='natural', parallel=self.parallel)
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_cube_weighting_taper (__main__.test_cube)
[cube] test_cube_weighting_taper:
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 2559, in test_cube_weighting_taper
ret_uniform = tclean(vis=self.msfile, imagename=im_uniform, imsize=100, cell='8.0arcsec',
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_cube_weighting_taper_cas13260 (__main__.test_cube)
[cube] test_cube_weighting_taper_cas13260:
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 2625, in test_cube_weighting_taper_cas13260
ret_natural_taper_910_lambda = tclean(vis=self.msfile, imagename=im_natural_taper_910_lambda,
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_multifield_cube_eph (__main__.test_ephemeris)
[ephemeris] test_multifield_cube_eph : multifield (mosaic gridder), cubesource mode
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 6056, in test_multifield_cube_eph
ret = tclean(vis=self.msfile, imagename=self.img, imsize=[480, 420], cell=['0.14arcsec'], phasecenter='TRACKFIELD', specmode='cubesource', gridder='mosaic', niter=0, interactive=0, parallel=False)
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_multifield_mfs_eph (__main__.test_ephemeris)
[ephemeris] test_multifield_mfs_eph : multifield (mosaic gridder), mfs mode
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 6011, in test_multifield_mfs_eph
ret = tclean(vis=self.msfile, imagename=self.img, imsize=[480, 420], cell=['0.14arcsec'], phasecenter='TRACKFIELD', specmode='mfs', gridder='mosaic', niter=0, interactive=0, parallel=self.parallel)
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_onefield_cube_eph (__main__.test_ephemeris)
[ephemeris] test_onefield_cube_eph : single field (standard gridder), cubesource mode
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 5966, in test_onefield_cube_eph
ret = tclean(vis=self.msfile, field='0', imagename=self.img, imsize=[288, 288], cell=['0.14arcsec'], phasecenter='TRACKFIELD', specmode='cubesource', gridder='standard', niter=0, interactive=0, parallel=False)
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_onefield_mfs_eph (__main__.test_ephemeris)
[ephemeris] test_onefield_mfs_eph : single field (standard gridder), mfs mode
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 5921, in test_onefield_mfs_eph
ret = tclean(vis=self.msfile, field='0', imagename=self.img, imsize=[288, 288], cell=['0.14arcsec'], phasecenter='TRACKFIELD', specmode='mfs', gridder='standard', niter=0, interactive=0, parallel=self.parallel)
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_gclean_threeiter (__main__.test_gclean)
test_gclean_threeiter: test the the gclean generator runs for at least three iterations
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 6189, in test_gclean_threeiter
for rec in gclean( vis='refim_point.ms', imagename=self.img, imsize=100, cell='8.0arcsec',
File "/usr/local/lib/python3.8/site-packages/casatasks/private/imagerhelpers/_gclean.py", line 216, in __next__
tclean_ret = self._tclean( vis=self._vis, imagename=self._imagename, imsize=self._imsize, cell=self._cell,
File "/usr/local/lib/python3.8/site-packages/casatasks/private/imagerhelpers/_gclean.py", line 69, in _tclean
return tclean( *args, **kwargs )
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_iterbot_cube_1 (__main__.test_iterbot)
[iterbot] Test_Iterbot_cube_1 : iteration counting across channels (>niter)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 887, in test_iterbot_cube_1
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',specmode='cube',deconvolver='clark',niter=10,threshold='0.75Jy',interactive=0,parallel=self.parallel)
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_iterbot_cube_2 (__main__.test_iterbot)
[iterbot] Test_Iterbot_cube_2 : High threshold, iterate only on line channels.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 903, in test_iterbot_cube_2
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',specmode='cube',deconvolver='clark',niter=10,threshold='1.75Jy',interactive=0,parallel=self.parallel)
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_iterbot_cube_3 (__main__.test_iterbot)
[iterbot] Test_Iterbot_cube_3 : Very high threshold, no iteration (verification of CAS-8576 fix)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 923, in test_iterbot_cube_3
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',specmode='cube',deconvolver='clark',niter=10,threshold='3.5Jy',interactive=0,parallel=self.parallel)
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_iterbot_cube_deconvolvers (__main__.test_iterbot)
[iterbot] : test_iterbot_deconvolvers : Do all minor cycle algorithms respond in the same way to iteration controls ? Let's see !
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 961, in test_iterbot_cube_deconvolvers
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=200,cell='10.0arcsec',niter=100,threshold='0.1Jy', interactive=0,deconvolver='clark',specmode='cube',interpolation='nearest',parallel=self.parallel)
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_iterbot_cube_nsigma (__main__.test_iterbot)
[iterbot] Test_Iterbot_cube_nsigma : nsigma threshold for cube
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 995, in test_iterbot_cube_nsigma
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',specmode='cube',deconvolver='hogbom',niter=1000000,threshold='0.000001Jy', nsigma=10.0, gain=0.5,interactive=0, parallel=self.parallel)
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_iterbot_cube_restart_pbmask (__main__.test_iterbot)
[iterbot] Test_cube_restart_updatedmask : restart cube with pbmask (CAS-13508 fix verification)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1089, in test_iterbot_cube_restart_pbmask
retpar=tclean(vis=self.msfile, imagename=self.img,imsize=512,cell='8.0arcsec',specmode='cube',niter=10,calcres=False, calcpsf=False, restart=True, usemask='pb', pbmask=0.8, interactive=0, interpolation='nearest', parallel=self.parallel)
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_iterbot_cube_restart_updatedmask (__main__.test_iterbot)
[iterbot] Test_cube_restart_updatedmask : restart cube with an updated mask (CAS-13508 fix verification)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1045, in test_iterbot_cube_restart_updatedmask
retpar=tclean(vis=self.msfile, imagename=self.img,imsize=512,cell='8.0arcsec',specmode='cube',niter=10,calcres=False, calcpsf=False, restart=True, mask=mask_around_dim_source, interactive=0,interpolation='nearest', parallel=self.parallel)
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_iterbot_cube_tol (__main__.test_iterbot)
[iterbot] Test_Iterbot_cube_tol :threshold test to allow a tolerance (1/100) (verification of CAS-11278 fix)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 979, in test_iterbot_cube_tol
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',specmode='cube',deconvolver='hogbom',niter=1000000,threshold='0.50001Jy',gain=0.1,cycleniter=5,interactive=0,parallel=self.parallel)
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_iterbot_divergence (__main__.test_iterbot)
[iterbot] Test_Iterbot_divergence : Use negative loop gain to make it diverge (verification of CAS-9244 fix)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 936, in test_iterbot_divergence
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec', niter=50,cycleniter=5, gain=-0.2,interactive=0,parallel=self.parallel)
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_iterbot_mfs_1 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_1 : Zero Iterations
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 815, in test_iterbot_mfs_1
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=0,interactive=0,restoration=False,parallel=self.parallel)
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_iterbot_mfs_2 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_2 : Iterations with low gain
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 823, in test_iterbot_mfs_2
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=10,gain=0.1,interactive=0,parallel=self.parallel)
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_iterbot_mfs_3 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_3 : Cycleniter test
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 831, in test_iterbot_mfs_3
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=10,cycleniter=3,interactive=0,parallel=self.parallel)
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_iterbot_mfs_4 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_4 : Iterations with high gain
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 839, in test_iterbot_mfs_4
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=10, gain=0.5,interactive=0,parallel=self.parallel)
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_iterbot_mfs_5 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_5 : Threshold test
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 847, in test_iterbot_mfs_5
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=10,threshold='0.1Jy',gain=0.5,interactive=0,parallel=self.parallel)
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_iterbot_mfs_6 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_6 : Cycleniter and threshold
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 855, in test_iterbot_mfs_6
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=10, cycleniter=3, threshold='0.1Jy',gain=0.5,interactive=0,parallel=self.parallel)
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_iterbot_mfs_7 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_7 : Threshold + cyclefactor to trigger major cycles earlier
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 863, in test_iterbot_mfs_7
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=10,threshold='0.01Jy', gain=0.5,cyclefactor=10.0,interactive=0,parallel=self.parallel)
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_iterbot_mfs_8 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_8 : minpsffraction to trigger major cycles earlier.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 871, in test_iterbot_mfs_8
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=20,threshold='0.01Jy', minpsffraction = 0.5,interactive=0,parallel=self.parallel)
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_iterbot_mfs_9 (__main__.test_iterbot)
[iterbot] Test_Iterbot_Mfs_9 : maxpsffraction
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 879, in test_iterbot_mfs_9
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='clark',niter=20,threshold='0.01Jy', minpsffraction=0.8,maxpsffraction=0.5,interactive=0,parallel=self.parallel)
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_iterbot_mfs_deconvolvers (__main__.test_iterbot)
[iterbot] : test_iterbot_deconvolvers : Do all minor cycle algorithms respond in the same way to iteration controls ? Now they do.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 945, in test_iterbot_mfs_deconvolvers
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,threshold='0.1Jy', interactive=0,deconvolver='clark',parallel=self.parallel)
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_iterbot_mfs_restart_pbmask (__main__.test_iterbot)
[iterbot] Test_mfs_restart_updatedmask : restart mfs with pbmask (CAS-13508 fix verification)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1068, in test_iterbot_mfs_restart_pbmask
retpar=tclean(vis=self.msfile, imagename=self.img,imsize=512,cell='8.0arcsec',specmode='mfs',niter=1,calcres=False, calcpsf=False, restart=True, usemask='pb', pbmask=0.8, interactive=0,parallel=self.parallel)
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_iterbot_mfs_restart_updatedmask (__main__.test_iterbot)
[iterbot] Test_mfs_restart_updatedmask : restart mfs with an updated mask (CAS-13508 fix verification)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1019, in test_iterbot_mfs_restart_updatedmask
retpar=tclean(vis=self.msfile, imagename=self.img,imsize=512,cell='8.0arcsec',specmode='mfs',niter=1,calcres=False, calcpsf=False, restart=True, mask=mask_around_dim_source, interactive=0,parallel=self.parallel)
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_iterbot_nmajor_0 (__main__.test_iterbot)
[iterbot] Test_Iterbot_nmajor_0 : Performs zero major cycle iteration
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1108, in test_iterbot_nmajor_0
tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',nmajor=0,niter=0,interactive=0,calcres=True,restoration=False,parallel=self.parallel)
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_iterbot_nmajor_2 (__main__.test_iterbot)
[iterbot] Test_Iterbot_nmajor_2 : Performs two major cycle iterations
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1118, in test_iterbot_nmajor_2
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',nmajor=2,niter=500,interactive=0,calcres=True,parallel=self.parallel)
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_1 (__main__.test_mask)
[mask] test_mask_1 : Input mask as file and string : mfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3020, in test_mask_1
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,usemask='user',
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_2 (__main__.test_mask)
[mask] test_mask_2 : Input mask as file and string : cube (few channels)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3031, in test_mask_2
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',specmode='cube',
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_3 (__main__.test_mask)
[mask] test_mask_3 : Input mask as image-to-be-regridded (ra/dec) : mfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3043, in test_mask_3
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,
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_4 (__main__.test_mask)
[mask] test_mask_4 : Input mask as image-to-be-regridded(ra/dec/specframe) : cube
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3055, in test_mask_4
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',specmode='cube',
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_5 (__main__.test_mask)
[mask] test_mask_5 : Input cube mask that has different chan
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3070, in test_mask_5
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=1,deconvolver='hogbom',specmode='cube',
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 : multi-threshold Autobox (default)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3177, in test_mask_autobox_multithresh
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,usemask='auto-multithresh',parallel=self.parallel)
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_cube_IQUV (__main__.test_mask)
[mask] test_mask__autobox_multithresh_cube_IQUV : multi-threshold Autobox (minbeamfrac=0.05) with cube full polarizaiton (IQUV) imaging
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3241, in test_mask_autobox_multithresh_cube_IQUV
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='IQUV',interactive=0,specmode='cube',interpolation='nearest',usemask="auto-multithresh", minbeamfrac=0.05, verbose=True, parallel=self.parallel)
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_mfs_IQUV (__main__.test_mask)
[mask] test_mask__autobox_multithresh_mtmfs_IQUV : multi-threshold Autobox (minbeamfrac=0.3) with cube full polarizaiton (IQUV) imaging
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3233, in test_mask_autobox_multithresh_mfs_IQUV
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='IQUV',interactive=0,specmode='mfs',interpolation='nearest',usemask="auto-multithresh", verbose=True, parallel=self.parallel)
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 : multi-threshold Autobox invoking the new noise calc.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3184, in test_mask_autobox_multithresh_newnoise
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,usemask='auto-multithresh', fastnoise=False)
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_absorption (__main__.test_mask)
[mask] test_mask__autobox_multithresh_on_absorption : multi-threshold Autobox (minbeamfrac=0.3) on the data with both emission and absorption
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3225, in test_mask_autobox_multithresh_with_absorption
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=100,deconvolver='hogbom',interactive=0,
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 : multi-threshold Autobox invoking the new noise calc.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3191, in test_mask_autobox_multithresh_with_nsigma
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,usemask='auto-multithresh', nsigma=3.0)
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 : multi-threshold Autobox invoking the new noise calc.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3198, in test_mask_autobox_multithresh_with_nsigma_newnoise
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,usemask='auto-multithresh', nsigma=3.0, fastnoise=False)
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 : multi-threshold Autobox (minbeamfrac=0.3)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3206, in test_mask_autobox_multithresh_with_prune
ret = tclean(vis=self.msfile,imagename=self.img,imsize=1000,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,usemask='auto-multithresh',
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_stopmask (__main__.test_mask)
[mask] test_mask__autobox_multithresh_with_stopmask : multi-threshold Autobox (minbeamfrac=0.3) with stop mask on
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3216, in test_mask_autobox_multithresh_with_stopmask
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=100,deconvolver='hogbom',interactive=0,
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_expand_contstokesIQUVmask_nodegen_to_cube_IQUV (__main__.test_mask)
[mask] test_mask_expand_contstokesIQUVmask_nodegen_to_cube_IQUV : Test for expanding
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3434, in test_mask_expand_contstokesIQUVmask_nodegen_to_cube_IQUV
ret = tclean(vis=self.msfile,
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_expand_contstokesIQUVmask_to_cube_IQUV (__main__.test_mask)
[mask] test_mask_expand_contstokesIQUVmask_to_cube_IQUV : Test for expanding
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3404, in test_mask_expand_contstokesIQUVmask_to_cube_IQUV
ret = tclean(vis=self.msfile,
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_expand_contstokesImask_nodegen_to_IQUV (__main__.test_mask)
[mask] test_mask_expand_contstokesImask_nodegen_to_IQUV : Test for expanding
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3333, in test_mask_expand_contstokesImask_nodegen_to_IQUV
ret = tclean(vis=self.msfile,
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_expand_contstokesImask_nodegen_to_cube (__main__.test_mask)
[mask] test_mask_expand_contstokesImask_nodegen_to_cube : Test for
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3303, in test_mask_expand_contstokesImask_nodegen_to_cube
ret = tclean(vis=self.msfile,
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_expand_contstokesImask_nodegen_to_cube_IQUV (__main__.test_mask)
[mask] test_mask_extend_contstokesImask_nodegen_to_cube_IQUV : Test for extending
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3376, in test_mask_expand_contstokesImask_nodegen_to_cube_IQUV
ret = tclean(vis=self.msfile,
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_expand_contstokesImask_to_IQUV (__main__.test_mask)
[mask] test_mask_expand_contstokesImask_to_IQUV : Test for expanding
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3318, in test_mask_expand_contstokesImask_to_IQUV
ret = tclean(vis=self.msfile,
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_expand_contstokesImask_to_cube (__main__.test_mask)
[mask] test_mask_expand_contstokesImask_to_cube : Test for
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3289, in test_mask_expand_contstokesImask_to_cube
ret = tclean(vis=self.msfile,
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_expand_contstokesImask_to_cube_IQUV (__main__.test_mask)
[mask] test_mask_extend_contstokesImask_to_cube_IQUV : Test for extending
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3349, in test_mask_expand_contstokesImask_to_cube_IQUV
ret = tclean(vis=self.msfile,
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_expand_cubestokesImask_nodegen_to_cube_IQUV (__main__.test_mask)
[mask] test_mask_expand_contstokesIQUVmask_nodegen_to_cube_IQUV : Test for expanding
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3494, in test_mask_expand_cubestokesImask_nodegen_to_cube_IQUV
ret = tclean(vis=self.msfile,
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_expand_cubestokesImask_to_cube_IQUV (__main__.test_mask)
[mask] test_mask_expand_contstokesIQUVmask_to_cube_IQUV : Test for expanding
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3463, in test_mask_expand_cubestokesImask_to_cube_IQUV
ret = tclean(vis=self.msfile,
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_long_region_specification (__main__.test_mask)
[mask] test_mask_long_region_specification : Test the fix for CAS-13624
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3528, in test_mask_long_region_specification
ret = tclean(vis=self.msfile,
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_zerostart (__main__.test_mask)
[mask] test_mask_zerostart : Test that a zero starting mask is caught
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 3259, in test_mask_zerostart
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='10.0arcsec',niter=0,interactive=0,parallel=self.parallel)
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_multifield_both_cube (__main__.test_multifield)
[multifield] Test_Multifield_both_cube : Two fields, both cube
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1198, in test_multifield_both_cube
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='hogbom',interactive=0,specmode='cube',nchan=2,interpolation='nearest',parallel=self.parallel)
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_multifield_both_cube_diffshape (__main__.test_multifield)
[multifield] Test_Multifield_both_cube : Two fields, both cube but different nchans
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1235, in test_multifield_both_cube_diffshape
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='hogbom',interactive=0,specmode='cube',nchan=2,interpolation='nearest',parallel=self.parallel)
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_multifield_both_mfs (__main__.test_multifield)
[multifield] Test_Multifield_both_mfs : Two fields, both mfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1161, in test_multifield_both_mfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='hogbom',interactive=0,parallel=self.parallel)
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_multifield_both_mtmfs (__main__.test_multifield)
[multifield] Test_Multifield_both_mtmfs : Two fields, both mt-mfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1179, in test_multifield_both_mtmfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='mtmfs',interactive=0,parallel=self.parallel)
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_multifield_cube_mfs (__main__.test_multifield)
[multifield] Test_Multifield_cube_mfs : Two fields, one cube and one mfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1256, in test_multifield_cube_mfs
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='hogbom',interactive=0,specmode='cube',nchan=2,interpolation='nearest',parallel=self.parallel)
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_multifield_cube_mtmfs (__main__.test_multifield)
[multifield] Test_Multifield_cube_mtmfs : Two fields, one cube and one mtmfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1293, in test_multifield_cube_mtmfs
retpar = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='hogbom',interactive=0,specmode='cube',nchan=2,interpolation='nearest',parallel=self.parallel)
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_multifield_diff_gridders (__main__.test_multifield)
[multifield] Test_Multifield_diff_gridders : Two fields, both mfs, gridft and wproject
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1317, in test_multifield_diff_gridders
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='hogbom',gridder='wproject',wprojplanes=4,interactive=0,parallel=self.parallel)
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_multifield_mfs_mtmfs (__main__.test_multifield)
[multifield] Test_Multifield_mfs_mtmfs : Two fields, one mt-mfs and one mfs (i.e. different deconvolvers)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1278, in test_multifield_mfs_mtmfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:59:28.500 +40.44.01.50",outlierfile=self.img+'.out.txt',niter=10,deconvolver='hogbom',interactive=0,parallel=self.parallel)
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_multifield_overlap_mfs (__main__.test_multifield)
[multifield] Test_Multifield_overlap_mfs : Two overlapping image fields, both mfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1345, in test_multifield_overlap_mfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:58:39.580 +40.55.55.931",outlierfile=self.img+'.out.txt',niter=20,deconvolver='hogbom',interactive=0,parallel=self.parallel)
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_multifield_overlap_mtmfs (__main__.test_multifield)
[multifield] Test_Multifield_overlap_mtmfs : Two overlapping image fields, both mt-mfs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1360, in test_multifield_overlap_mtmfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',phasecenter="J2000 19:58:39.580 +40.55.55.931",outlierfile=self.img+'.out.txt',niter=20,deconvolver='mtmfs',interactive=0,parallel=self.parallel)
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_onefield_all_outputs_mfs (__main__.test_onefield)
[onefield] : test_onefield_all_outputs_mfs : Make all output images even when not needed
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 574, in test_onefield_all_outputs_mfs
ret = tclean(vis=self.msfile,imagename=self.img+'2',imsize=100,cell='8.0arcsec',niter=0,interactive=0,deconvolver='hogbom',restoration=True,parallel=self.parallel)
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_onefield_all_outputs_mtmfs (__main__.test_onefield)
[onefield] : test_onefield_all_outputs_mtmfs : Make all output images even when not needed
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 588, in test_onefield_all_outputs_mtmfs
ret = tclean(vis=self.msfile,imagename=self.img+'2',imsize=100,cell='8.0arcsec',niter=0,interactive=0,deconvolver='mtmfs',restoration=True,parallel=self.parallel)
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_onefield_asp (__main__.test_onefield)
[onefield] Test_Onefield_asp : mfs with asp minor cycle
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 292, in test_onefield_asp
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=512,cell='12.0arcsec',specmode='cube',interpolation='nearest',nchan=5,start='1.0GHz',width='0.2GHz',pblimit=-1e-05,niter=100,deconvolver='asp',gain=0.8,interactive=0,parallel=self.parallel)
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_onefield_briggsabs (__main__.test_onefield)
[onefield] test_onefield_briggsabs:
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 500, in test_onefield_briggsabs
retnat = tclean(vis=self.msfile,imagename=imnat,imsize=100,cell='8.0arcsec',specmode='mfs',deconvolver='hogbom',niter=1,threshold='0Jy',interactive=0, weighting='natural', parallel=self.parallel)
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_onefield_clark (__main__.test_onefield)
[onefield] Test_Onefield_clark : mfs with clark minor cycle
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 232, in test_onefield_clark
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10,deconvolver='clark',interactive=0,parallel=self.parallel) #,phasecenter='J2000 19h59m57.5s +40d49m00.077s') # default is clark
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_onefield_cube_restoringbeam (__main__.test_onefield)
[onefield] Test explicit restoring beams for cube : Test peak flux with niter=0, compared with smoothing vs restoringbeam
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 682, in test_onefield_cube_restoringbeam
ret1 = tclean(vis=self.msfile,imagename=self.img,
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_onefield_defaults (__main__.test_onefield)
[onefield] Test_Onefield_defaults : Defaults
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 223, in test_onefield_defaults
ret = tclean(vis=self.msfile, imagename=tricky_imagename, imsize=100, cell='8.0arcsec',
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_onefield_gridders (__main__.test_onefield)
[onefield] Test_Onefield_gridders : Check all single field gridder equivalent names are accepted
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 670, in test_onefield_gridders
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',gridder='ft', interactive=0,parallel=self.parallel)
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_onefield_hogbom (__main__.test_onefield)
[onefield] Test_Onefield_hogbom : mfs with hogbom minor cycle
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 242, in test_onefield_hogbom
ret = tclean(vis=self.msfile,imagename=tricky_imagename,imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,parallel=self.parallel)#,phasecenter='J2000 19h59m57.5s +40d49m00.077s')
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_onefield_mem (__main__.test_onefield)
[onefield] Test_Onefield_mem : mfs with mem minor cycle
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 250, in test_onefield_mem
ret = tclean(vis=self.msfile,imagename=self.img,imsize=200,cell='8.0arcsec',niter=10,deconvolver='mem',interactive=0,parallel=self.parallel)
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_onefield_mtmfs (__main__.test_onefield)
[onefield] Test_Onefield_mtmfs : mt-mfs with minor cycle iterations
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 343, in test_onefield_mtmfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10,deconvolver='mtmfs',interactive=0,parallel=self.parallel)
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_onefield_mtmfs_2spws_2MSs (__main__.test_onefield)
[onefield] Test_onefield_mtmfs_2spws_2MSs : MT-MFS on multi-spws in separate MSs, to test default reffreq and coordinate system generation (CAS-9518)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 631, in test_onefield_mtmfs_2spws_2MSs
ret = tclean(vis=[ms1,ms2],imagename=self.img,imsize=100,cell='8.0arcsec',
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_onefield_mtmfs_nterms1 (__main__.test_onefield)
[onefield] Test_Onefield_mtmfs_nterms1 : mt-mfs with nterms=1 (CAS-11364, CAS-11367)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 655, in test_onefield_mtmfs_nterms1
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10,deconvolver='mtmfs',nterms=1,interactive=0,parallel=self.parallel)
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_onefield_mtmfs_restoringbeam (__main__.test_onefield)
[onefield] Test explicit restoring beams for mtmfs : Test peak flux with niter=0, compared with smoothing vs restoringbeam
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 716, in test_onefield_mtmfs_restoringbeam
ret1 = tclean(vis=self.msfile,imagename=self.img,
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_onefield_mtmfs_smallscalebias (__main__.test_onefield)
[onefield] Test_Onefield_mtmfs : mt-mfs with minor cycle iterations and smallscalebias = 0.9
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 663, in test_onefield_mtmfs_smallscalebias
ret = tclean(vis=self.msfile,imagename=self.img,imsize=200,cell='8.0arcsec',niter=10,deconvolver='mtmfs',nterms=1,interactive=0,parallel=self.parallel,smallscalebias=0.9,scales=[0,20,40,100])
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_onefield_multiscale (__main__.test_onefield)
[onefield] Test_Onefield_multiscale : mfs with multiscale minor cycle
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 257, in test_onefield_multiscale
ret = tclean(vis=self.msfile,imagename=self.img,imsize=200,cell='8.0arcsec',niter=10,deconvolver='multiscale',scales=[0,20,40,100],interactive=0,parallel=self.parallel)
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_onefield_pcwdT_and_pcwdF (__main__.test_onefield)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 410, in test_onefield_pcwdT_and_pcwdF
ret = tclean(self.msfile , imagename=self.img+'1', imsize=20, cell='8.0arcsec', niter=0, nchan=1, spw='0:1', interactive=0, gridder='standard',perchanweightdensity=True,specmode='cube',weighting='briggs',robust=0.5)
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_onefield_projections (__main__.test_onefield)
[onefield] Test_Onefield_projections : test selected projections
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 753, in test_onefield_projections
ret = tclean(vis=self.msfile,imagename=self.img+'SIN',imsize=100,cell='8.0arcsec',interactive=0,parallel=self.parallel)
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_onefield_restart_mfs (__main__.test_onefield)
[onefield] : test_onefield_restart_mfs : Check calcpsf,calcres and ability to restart and continue
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 517, in test_onefield_restart_mfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=0,interactive=0,calcpsf=True,calcres=False,deconvolver='clark',parallel=self.parallel)
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_onefield_restart_mtmfs (__main__.test_onefield)
[onefield] : test_onefield_restart_mtmfs : Check calcpsf,calcres and ability to restart and continue
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 541, in test_onefield_restart_mtmfs
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=0,interactive=0,calcpsf=True,calcres=False,deconvolver='mtmfs',parallel=self.parallel)
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_onefield_restore_mtmfs_niter0 (__main__.test_onefield)
[onefield] : test_onefield_restore_mtmfs_niter0 : Niter=0 run followed by restoration without a model
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 600, in test_onefield_restore_mtmfs_niter0
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=0,interactive=0,deconvolver='mtmfs',restoration=False,parallel=self.parallel)
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_onefield_twoMS_Briggs (__main__.test_onefield)
[onefield] Test_Onefield_twoMS with Briggs weighting: One field, two input MSs (for verification of CAS-11978)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 467, in test_onefield_twoMS_Briggs
ret = tclean(vis=[ms1,ms2],field='0',spw=['0','0'], imagename=self.img,imsize=100,cell='8.0arcsec',deconvolver='hogbom',niter=10,weighting='briggs', interactive=0, parallel=self.parallel)
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_onefield_weighting (__main__.test_onefield)
[onefield] Test_Onefield_weighting : mfs with different weighting (natural, uniform, briggs, radial, superuniform)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 362, in test_onefield_weighting
ret0 = tclean(vis=self.msfile,imagename=self.img+'0',imsize=100,cell='8.0arcsec',niter=10,weighting='natural', interactive=0,parallel=self.parallel)
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_startmodel_mfs_changeshape_1 (__main__.test_startmodel)
[startmodel] test_startmodel_mfs_changeshape_1 : Restart a run but change shape only (cas-6937)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 4227, in test_startmodel_mfs_changeshape_1
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,parallel=self.parallel)
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_startmodel_mfs_changeshape_2 (__main__.test_startmodel)
[startmodel] test_startmodel_mfs_changeshape_2 : Restart a run using 'startmodel' and change shape and imagename
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 4246, in test_startmodel_mfs_changeshape_2
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,parallel=self.parallel)
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_startmodel_mfs_continue (__main__.test_startmodel)
[startmodel] test_startmodel_mfs_continue : Restart a run with no parameter changes
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 4209, in test_startmodel_mfs_continue
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,parallel=self.parallel)
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_startmodel_mfs_restart (__main__.test_startmodel)
[startmodel] test_startmodel_mfs_restart : Restart a run using 'startmodel' and changed imagename
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 4218, in test_startmodel_mfs_restart
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,parallel=self.parallel)
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_startmodel_mtmfs_restart (__main__.test_startmodel)
[startmodel] test_startmodel_mtmfs_restart : Restart a multi-term run using 'startmodel' and changed imagename
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 4255, in test_startmodel_mtmfs_restart
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=100,cell='8.0arcsec',niter=10,deconvolver='mtmfs',interactive=0,parallel=self.parallel)
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_startmodel_regrid_cube (__main__.test_startmodel)
[modelpredict] Test_startmodel_regrid_cube : Regrid input model onto new image grid : cube (ra/dec/specframe)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 4191, in test_startmodel_regrid_cube
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=50,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,specmode='cube',
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_startmodel_regrid_mfs (__main__.test_startmodel)
[modelpredict] Test_startmodel_regrid_mfs : Regrid input model onto new image grid : mfs (ra/dec)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 4181, in test_startmodel_regrid_mfs
ret1 = tclean(vis=self.msfile,imagename=self.img+'1',imsize=50,cell='8.0arcsec',niter=10,deconvolver='hogbom',interactive=0,
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_stokes_cube_I (__main__.test_stokes)
[stokes] Test_Stokes_cube_I : cube with stokes I
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1454, in test_stokes_cube_I
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='I',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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_stokes_cube_IQUV_fromRL (__main__.test_stokes)
[stokes] Test_Stokes_cube_IQUV_fromRL : cube with stokes IQUV
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1496, in test_stokes_cube_IQUV_fromRL
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='IQUV',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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_stokes_cube_IQUV_fromXY (__main__.test_stokes)
[stokes] Test_Stokes_cube_IQUV_fromXY : cube with stokes IQUV
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1503, in test_stokes_cube_IQUV_fromXY
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='IQUV',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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_stokes_cube_IV (__main__.test_stokes)
[stokes] Test_Stokes_stokes_IV : cube with stokes V
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1461, in test_stokes_cube_IV
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='IV',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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_stokes_cube_Q (__main__.test_stokes)
[stokes] Test_Stokes_cube_Q : cube with stokes Q
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1475, in test_stokes_cube_Q
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='Q',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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_stokes_cube_QU (__main__.test_stokes)
[stokes] Test_Stokes_stokes_QU : cube with stokes QU
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1468, in test_stokes_cube_QU
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='QU',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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_stokes_cube_U (__main__.test_stokes)
[stokes] Test_Stokes_cube_U : cube with stokes U
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1482, in test_stokes_cube_U
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='U',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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_stokes_cube_V (__main__.test_stokes)
[stokes] Test_Stokes_cube_V : cube with stokes V
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casatest/casa6/casatasks/tests/tasks/test_task_tclean.py", line 1489, in test_stokes_cube_V
ret = tclean(vis=self.msfile,imagename=self.img,imsize=100,cell='8.0arcsec',niter=10, stokes='V',interactive=0,specmode='cube',interpolation='nearest',parallel=self.parallel)
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
----------------------------------------------------------------------
Ran 285 tests in 8150.287s
FAILED (errors=109, skipped=14)