simple	18-Sep-2019 23:16:10	Build CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6 #146 (CASA-CTB-JOB1-146) started building on agent cbt-el7-6.cv.nrao.edu (2)
simple	18-Sep-2019 23:16:10	Remote agent on host cbt-el7-6.cv.nrao.edu
simple	18-Sep-2019 23:16:10	Build working directory is /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1
simple	18-Sep-2019 23:16:10	Executing build CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6 #146 (CASA-CTB-JOB1-146)
simple	18-Sep-2019 23:16:10	Starting task 'Clean working directory task' of type 'com.atlassian.bamboo.plugins.bamboo-artifact-downloader-plugin:cleanWorkingDirectoryTask'
simple	18-Sep-2019 23:16:10	Cleaning working directory '/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1'
simple	18-Sep-2019 23:16:10	Finished task 'Clean working directory task' with result: Success
simple	18-Sep-2019 23:16:10	Running pre-build action: VCS Version Collector
simple	18-Sep-2019 23:16:10	Starting task 'Create wheeldirectory' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script'
command	18-Sep-2019 23:16:10	Beginning to execute external process for build 'CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6 #146 (CASA-CTB-JOB1-146)'\n ... running command line: \n/export/home/cbt-el7-6/bamboohome/temp/CASA-CTB-JOB1-146-ScriptBuildTask-3793895135224509782.sh\n ... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\n ... using extra environment variables: \nbamboo_planRepository_1_branch=master\nbamboo_dependency_parent_1=CASA-CTT-235\nbamboo_dependency_parent_0=CASA-DOCKERTEST-271\nbamboo_capability_buildmachinetype=test\nbamboo_planRepository_2_branch=master\nbamboo_dependency_parent_total=2\nbamboo_repository_34078771_name=OPEN-CASA-PKG\nbamboo_planRepository_1_branchDisplayName=master\nbamboo_repository_revision_number=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_resultsUrl=https://open-bamboo.nrao.edu/browse/CASA-CTB-JOB1-146\nbamboo_build_working_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\nbamboo_planRepository_1_name=OPEN-CASA\nbamboo_buildKey=CASA-CTB-JOB1\nbamboo_shortPlanName=Casa6 Tasks Wheel Build\nbamboo_capability_hostname=cbt-el7-6.cv.nrao.edu\nbamboo_planRepository_2_username=\nbamboo_planRepository_name=OPEN-CASA\nbamboo_buildNumber=146\nbamboo_planRepository_2_branchDisplayName=master\nbamboo_capability_system_jdk_JDK_1_8_0_131=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.131-11.b12.el7.x86_64\nbamboo_shortJobName=Build and Package RHEL6\nbamboo_buildResultsUrl=https://open-bamboo.nrao.edu/browse/CASA-CTB-JOB1-146\nbamboo_planRepository_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_repository_34078770_name=OPEN-CASA\nbamboo_repository_34078770_revision_number=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_agentId=21790725\nbamboo_planName=CASA - Casa6 Tasks Wheel Build\nbamboo_shortPlanKey=CTB\nbamboo_shortJobKey=JOB1\nbamboo_repository_34078771_branch_name=master\nbamboo_planRepository_2_name=OPEN-CASA-PKG\nbamboo_planRepository_revision=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_repository_34078770_branch_name=master\nbamboo_buildTimeStamp=2019-09-18T23:16:10.304-04:00\nbamboo_repository_previous_revision_number=b754f51ceb53a1d87dd042f3e2865327424ab083\nbamboo_repository_git_branch=master\nbamboo_buildResultKey=CASA-CTB-JOB1-146\nbamboo_repository_branch_name=master\nbamboo_buildPlanName=CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6\nbamboo_planRepository_1_revision=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_capability_system_hg_executable=/bin/hg\nbamboo_repository_34078770_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_repository_name=OPEN-CASA-PKG\nbamboo_buildFailed=false\nbamboo_capability_system_docker_executable=/bin/docker\nbamboo_planRepository_branch=master\nbamboo_repository_34078770_git_branch=master\nbamboo_agentWorkingDirectory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir\nbamboo_capability_system_git_executable=/bin/git\nbamboo_planRepository_2_revision=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_repository_git_username=\nbamboo_capability_operating_system=EL7\nbamboo_planRepository_branchDisplayName=master\nbamboo_planRepository_1_type=bbserver\nbamboo_planRepository_branchName=master\nbamboo_repository_34078771_git_branch=master\nbamboo_capability_project=CASA\nbamboo_planRepository_2_type=bbserver\nbamboo_capability_system_jdk_JDK=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_repository_34078771_git_username=\nbamboo_repository_34078771_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa-pkg.git\nbamboo_repository_34078771_previous_revision_number=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_plan_storageTag=plan-33882474\nbamboo_hg_cache_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/_hg-repositories-cache\nbamboo_repository_34078770_git_username=\nbamboo_planRepository_2_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa-pkg.git\nbamboo_planRepository_1_username=\nbamboo_planRepository_type=bbserver\nbamboo_git_cache_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/_git-repositories-cache\nbamboo_repository_34078770_previous_revision_number=b754f51ceb53a1d87dd042f3e2865327424ab083\nbamboo_repository_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_planRepository_2_branchName=master\nbamboo_capability_system_builder_ant_Ant=/usr\nbamboo_tmp_directory=/export/home/cbt-el7-6/bamboohome/temp\nbamboo_working_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\nbamboo_planKey=CASA-CTB\nbamboo_planRepository_1_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_planRepository_username=\nbamboo_capability_system_jdk_JDK_1_8=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_capability_system_jdk_JDK_1_8_0_161=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_repository_34078771_revision_number=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_planRepository_1_branchName=master\n
simple	18-Sep-2019 23:16:10	Finished task 'Create wheeldirectory' with result: Success
command	18-Sep-2019 23:16:10	Substituting variable: ${bamboo.working.directory} with /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1
simple	18-Sep-2019 23:16:10	Starting task 'Start container' of type 'com.atlassian.bamboo.plugins.bamboo-docker-plugin:task.docker.cli'
simple	18-Sep-2019 23:16:10	Running image name (casa-docker.nrao.edu:5000/casa-build-tools-centos6)
command	18-Sep-2019 23:16:10	Beginning to execute external process for build 'CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6 #146 (CASA-CTB-JOB1-146)'\n ... running command line: \n/bin/docker run --volume /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1/wheeldirectory:/wheeldirectory --detach --name task-wheel-container casa-docker.nrao.edu:5000/casa-build-tools-centos6 tail -f /dev/null\n ... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\n ... using extra environment variables: \nbamboo_planRepository_1_branch=master\nbamboo_dependency_parent_1=CASA-CTT-235\nbamboo_dependency_parent_0=CASA-DOCKERTEST-271\nbamboo_capability_buildmachinetype=test\nbamboo_planRepository_2_branch=master\nbamboo_dependency_parent_total=2\nbamboo_repository_34078771_name=OPEN-CASA-PKG\nbamboo_planRepository_1_branchDisplayName=master\nbamboo_repository_revision_number=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_resultsUrl=https://open-bamboo.nrao.edu/browse/CASA-CTB-JOB1-146\nbamboo_build_working_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\nbamboo_planRepository_1_name=OPEN-CASA\nbamboo_buildKey=CASA-CTB-JOB1\nbamboo_shortPlanName=Casa6 Tasks Wheel Build\nbamboo_capability_hostname=cbt-el7-6.cv.nrao.edu\nbamboo_planRepository_2_username=\nbamboo_planRepository_name=OPEN-CASA\nbamboo_buildNumber=146\nbamboo_planRepository_2_branchDisplayName=master\nbamboo_capability_system_jdk_JDK_1_8_0_131=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.131-11.b12.el7.x86_64\nbamboo_shortJobName=Build and Package RHEL6\nbamboo_buildResultsUrl=https://open-bamboo.nrao.edu/browse/CASA-CTB-JOB1-146\nbamboo_planRepository_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_repository_34078770_name=OPEN-CASA\nbamboo_repository_34078770_revision_number=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_agentId=21790725\nbamboo_planName=CASA - Casa6 Tasks Wheel Build\nbamboo_shortPlanKey=CTB\nbamboo_build_commandline_com_atlassian_bamboo_plugins_scripttask_task_builder_script_9=/export/home/cbt-el7-6/bamboohome/temp/CASA-CTB-JOB1-146-ScriptBuildTask-3793895135224509782.sh\nbamboo_shortJobKey=JOB1\nbamboo_repository_34078771_branch_name=master\nbamboo_planRepository_2_name=OPEN-CASA-PKG\nbamboo_planRepository_revision=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_repository_34078770_branch_name=master\nbamboo_buildTimeStamp=2019-09-18T23:16:10.304-04:00\nbamboo_repository_previous_revision_number=b754f51ceb53a1d87dd042f3e2865327424ab083\nbamboo_repository_git_branch=master\nbamboo_buildResultKey=CASA-CTB-JOB1-146\nbamboo_repository_branch_name=master\nbamboo_buildPlanName=CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6\nbamboo_planRepository_1_revision=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_capability_system_hg_executable=/bin/hg\nbamboo_repository_34078770_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_repository_name=OPEN-CASA-PKG\nbamboo_buildFailed=false\nbamboo_capability_system_docker_executable=/bin/docker\nbamboo_planRepository_branch=master\nbamboo_repository_34078770_git_branch=master\nbamboo_agentWorkingDirectory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir\nbamboo_capability_system_git_executable=/bin/git\nbamboo_planRepository_2_revision=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_repository_git_username=\nbamboo_capability_operating_system=EL7\nbamboo_planRepository_branchDisplayName=master\nbamboo_planRepository_1_type=bbserver\nbamboo_planRepository_branchName=master\nbamboo_repository_34078771_git_branch=master\nbamboo_capability_project=CASA\nbamboo_planRepository_2_type=bbserver\nbamboo_capability_system_jdk_JDK=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_repository_34078771_git_username=\nbamboo_repository_34078771_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa-pkg.git\nbamboo_repository_34078771_previous_revision_number=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_plan_storageTag=plan-33882474\nbamboo_hg_cache_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/_hg-repositories-cache\nbamboo_repository_34078770_git_username=\nbamboo_planRepository_2_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa-pkg.git\nbamboo_planRepository_1_username=\nbamboo_planRepository_type=bbserver\nbamboo_git_cache_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/_git-repositories-cache\nbamboo_repository_34078770_previous_revision_number=b754f51ceb53a1d87dd042f3e2865327424ab083\nbamboo_repository_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_planRepository_2_branchName=master\nbamboo_capability_system_builder_ant_Ant=/usr\nbamboo_tmp_directory=/export/home/cbt-el7-6/bamboohome/temp\nbamboo_working_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\nbamboo_planKey=CASA-CTB\nbamboo_planRepository_1_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_planRepository_username=\nbamboo_capability_system_jdk_JDK_1_8=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_capability_system_jdk_JDK_1_8_0_161=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_repository_34078771_revision_number=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_planRepository_1_branchName=master\n
build	18-Sep-2019 23:16:11	e915f7ed69d2233160b199420a74c6afeacde32598f5337598b7b4bfbec85066
simple	18-Sep-2019 23:16:11	Finished task 'Start container' with result: Success
command	18-Sep-2019 23:16:11	Substituting variable: ${bamboo.working.directory} with /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1
command	18-Sep-2019 23:16:11	Substituting variable: ${bamboo.working.directory} with /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1
simple	18-Sep-2019 23:16:11	Starting task 'Create wheel' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script'
command	18-Sep-2019 23:16:11	Beginning to execute external process for build 'CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6 #146 (CASA-CTB-JOB1-146)'\n ... running command line: \n/export/home/cbt-el7-6/bamboohome/temp/CASA-CTB-JOB1-146-ScriptBuildTask-3582867859142838570.sh\n ... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\n ... using extra environment variables: \nbamboo_planRepository_1_branch=master\nbamboo_dependency_parent_1=CASA-CTT-235\nbamboo_dependency_parent_0=CASA-DOCKERTEST-271\nbamboo_capability_buildmachinetype=test\nbamboo_planRepository_2_branch=master\nbamboo_dependency_parent_total=2\nbamboo_repository_34078771_name=OPEN-CASA-PKG\nbamboo_planRepository_1_branchDisplayName=master\nbamboo_repository_revision_number=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_resultsUrl=https://open-bamboo.nrao.edu/browse/CASA-CTB-JOB1-146\nbamboo_build_working_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\nbamboo_planRepository_1_name=OPEN-CASA\nbamboo_buildKey=CASA-CTB-JOB1\nbamboo_shortPlanName=Casa6 Tasks Wheel Build\nbamboo_capability_hostname=cbt-el7-6.cv.nrao.edu\nbamboo_planRepository_2_username=\nbamboo_planRepository_name=OPEN-CASA\nbamboo_buildNumber=146\nbamboo_planRepository_2_branchDisplayName=master\nbamboo_capability_system_jdk_JDK_1_8_0_131=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.131-11.b12.el7.x86_64\nbamboo_shortJobName=Build and Package RHEL6\nbamboo_buildResultsUrl=https://open-bamboo.nrao.edu/browse/CASA-CTB-JOB1-146\nbamboo_planRepository_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_repository_34078770_name=OPEN-CASA\nbamboo_repository_34078770_revision_number=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_agentId=21790725\nbamboo_planName=CASA - Casa6 Tasks Wheel Build\nbamboo_shortPlanKey=CTB\nbamboo_build_commandline_com_atlassian_bamboo_plugins_scripttask_task_builder_script_9=/export/home/cbt-el7-6/bamboohome/temp/CASA-CTB-JOB1-146-ScriptBuildTask-3793895135224509782.sh\nbamboo_dockerContainerNames=task-wheel-container\nbamboo_shortJobKey=JOB1\nbamboo_repository_34078771_branch_name=master\nbamboo_planRepository_2_name=OPEN-CASA-PKG\nbamboo_planRepository_revision=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_repository_34078770_branch_name=master\nbamboo_buildTimeStamp=2019-09-18T23:16:10.304-04:00\nbamboo_repository_previous_revision_number=b754f51ceb53a1d87dd042f3e2865327424ab083\nbamboo_build_commandline_com_atlassian_bamboo_plugins_bamboo_docker_plugin_task_docker_cli_7=/bin/docker run --volume /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1/wheeldirectory:/wheeldirectory --detach --name task-wheel-container casa-docker.nrao.edu:5000/casa-build-tools-centos6 tail -f /dev/null\nbamboo_repository_git_branch=master\nbamboo_buildResultKey=CASA-CTB-JOB1-146\nbamboo_repository_branch_name=master\nbamboo_buildPlanName=CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6\nbamboo_planRepository_1_revision=3774826e7368e91e81763df047614a878a1fd25f\nbamboo_capability_system_hg_executable=/bin/hg\nbamboo_repository_34078770_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_repository_name=OPEN-CASA-PKG\nbamboo_buildFailed=false\nbamboo_capability_system_docker_executable=/bin/docker\nbamboo_planRepository_branch=master\nbamboo_repository_34078770_git_branch=master\nbamboo_agentWorkingDirectory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir\nbamboo_capability_system_git_executable=/bin/git\nbamboo_planRepository_2_revision=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_repository_git_username=\nbamboo_capability_operating_system=EL7\nbamboo_planRepository_branchDisplayName=master\nbamboo_planRepository_1_type=bbserver\nbamboo_planRepository_branchName=master\nbamboo_repository_34078771_git_branch=master\nbamboo_capability_project=CASA\nbamboo_planRepository_2_type=bbserver\nbamboo_capability_system_jdk_JDK=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_repository_34078771_git_username=\nbamboo_repository_34078771_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa-pkg.git\nbamboo_repository_34078771_previous_revision_number=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_plan_storageTag=plan-33882474\nbamboo_hg_cache_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/_hg-repositories-cache\nbamboo_repository_34078770_git_username=\nbamboo_planRepository_2_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa-pkg.git\nbamboo_planRepository_1_username=\nbamboo_planRepository_type=bbserver\nbamboo_git_cache_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/_git-repositories-cache\nbamboo_repository_34078770_previous_revision_number=b754f51ceb53a1d87dd042f3e2865327424ab083\nbamboo_repository_git_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_planRepository_2_branchName=master\nbamboo_capability_system_builder_ant_Ant=/usr\nbamboo_tmp_directory=/export/home/cbt-el7-6/bamboohome/temp\nbamboo_working_directory=/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\nbamboo_planKey=CASA-CTB\nbamboo_planRepository_1_repositoryUrl=ssh://git@open-bitbucket.nrao.edu:7999/casa/casa.git\nbamboo_planRepository_username=\nbamboo_capability_system_jdk_JDK_1_8=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_capability_system_jdk_JDK_1_8_0_161=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-0.b14.el7_4.x86_64\nbamboo_repository_34078771_revision_number=d133fd2df3a06149a71d5c55b5876730dc7d1641\nbamboo_planRepository_1_branchName=master\n
build	18-Sep-2019 23:16:11	datapath=[ "/opt/casa/data/master" ]
build	18-Sep-2019 23:16:12	datapath=[ "/opt/casa/data/master" ]
build	18-Sep-2019 23:16:14	Collecting casatools
build	18-Sep-2019 23:16:14	  Downloading https://casa-pip.nrao.edu:443/repository/pypi-group/packages/casatools/2019.152/casatools-2019.152-cp36-cp36m-linux_x86_64.whl (515.0MB)
build	18-Sep-2019 23:17:05	Requirement already satisfied: numpy in /opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages (from casatools)
build	18-Sep-2019 23:17:05	Installing collected packages: casatools
build	18-Sep-2019 23:17:08	Successfully installed casatools-2019.152
error	18-Sep-2019 23:17:09	You are using pip version 9.0.1, however version 19.2.3 is available.
error	18-Sep-2019 23:17:09	You should consider upgrading via the 'pip install --upgrade pip' command.
build	18-Sep-2019 23:17:23	Submodule 'casa-source' (https://open-bitbucket.nrao.edu/scm/casa/casa.git) registered for path 'casa-source'
build	18-Sep-2019 23:17:23	Cloning into 'casa-source'...
build	18-Sep-2019 23:17:32	Submodule path 'casa-source': checked out 'b754f51ceb53a1d87dd042f3e2865327424ab083'
build	18-Sep-2019 23:17:32	Submodule 'casacore' (https://github.com/casacore/casacore.git) registered for path 'casacore'
build	18-Sep-2019 23:17:32	Cloning into 'casacore'...
build	18-Sep-2019 23:17:42	Submodule path 'casa-source/casacore': checked out 'c506c8c6e115777e2ea567b559fb09cef410dc85'
error	18-Sep-2019 23:17:43	Previous HEAD position was b754f51... Merge pull request #1114 in CASA/casa from hf-drs30 to master
error	18-Sep-2019 23:17:43	Switched to branch 'master'
build	18-Sep-2019 23:17:44	Already up-to-date.
build	18-Sep-2019 23:17:45	None
build	18-Sep-2019 23:17:45	running bdist_wheel
build	18-Sep-2019 23:17:45	initializing options...
build	18-Sep-2019 23:17:45	finalizing options...
build	18-Sep-2019 23:17:45	running build
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imhead.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/immoments.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imhistory.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/applycal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/bandpass.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/blcal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/calstat.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/concat.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/split.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/listobs.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/flagdata.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/flagcmd.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/setjy.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/cvel.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/cvel2.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importuvfits.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importfits.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/exportfits.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/exportuvfits.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/partition.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/listpartition.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/flagmanager.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/mstransform.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/tclean.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/immath.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/vishead.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/uvsub.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/spxfit.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/splattotable.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/specsmooth.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/specflux.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/smoothcal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/specfit.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imstat.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/slsearch.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/delmod.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imsubimage.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/accor.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/accum.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/asdmsummary.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/clearcal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/conjugatevis.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/exportasdm.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importasdm.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/clearstat.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/fixplanets.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/fixvis.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/fluxscale.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/ft.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/gaincal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/gencal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/hanningsmooth.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imcollapse.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imcontsub.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imdev.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imfit.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/impbcor.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importasap.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importatca.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importfitsidi.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importgmrt.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importnro.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importvla.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/impv.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imrebin.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imreframe.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imregrid.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imsmooth.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imtrans.xml
build	18-Sep-2019 23:19:09	fixing casa-source/gcwrap/tasks/imval.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/imval.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/initweights.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/listcal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/listfits.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/listhistory.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/listsdm.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/listvis.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/makemask.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/polcal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/polfromgain.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/predictcomp.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/rerefant.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/rmfit.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/rmtables.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/sdbaseline.xml
build	18-Sep-2019 23:19:09	fixing casa-source/gcwrap/tasks/sdcal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/sdcal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/sdfit.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/sdfixscan.xml
build	18-Sep-2019 23:19:09	fixing casa-source/gcwrap/tasks/sdgaincal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/sdgaincal.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/sdimaging.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/sdsmooth.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/simalma.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/simobserve.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/simanalyze.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/feather.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/statwt.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/virtualconcat.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/uvcontsub.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/uvmodelfit.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/visstat.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/widebandpbcor.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/importmiriad.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/plotweather.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/plotants.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/fringefit.xml
build	18-Sep-2019 23:19:09	upgrading casa-source/gcwrap/tasks/plotbandpass.xml
build	18-Sep-2019 23:19:09	generating task python files...
build	18-Sep-2019 23:19:09	creating build/lib.linux-x86_64-3.6/casatasks/private/parallel
build	18-Sep-2019 23:19:09	copying src/modules/parallel/parallel_task_helper.py -> build/lib.linux-x86_64-3.6/casatasks/private/parallel
build	18-Sep-2019 23:19:09	copying src/modules/parallel/parallel_data_helper.py -> build/lib.linux-x86_64-3.6/casatasks/private/parallel
build	18-Sep-2019 23:19:09	copying src/modules/parallel/rflag_post_proc.py -> build/lib.linux-x86_64-3.6/casatasks/private/parallel
build	18-Sep-2019 23:19:09	copying src/modules/parallel/__init__.py -> build/lib.linux-x86_64-3.6/casatasks/private/parallel
build	18-Sep-2019 23:19:09	creating build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	copying src/modules/imagerhelpers/imager_parallel_cube.py -> build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	copying src/modules/imagerhelpers/__init__.py -> build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	copying src/modules/imagerhelpers/parallel_imager_helper.py -> build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	copying src/modules/imagerhelpers/imager_parallel_deconvolver.py -> build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	copying src/modules/imagerhelpers/input_parameters.py -> build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	copying src/modules/imagerhelpers/imager_parallel_continuum.py -> build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	copying src/modules/imagerhelpers/imager_base.py -> build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:09	installing to build/bdist.linux-x86_64/wheel
build	18-Sep-2019 23:19:09	running install
build	18-Sep-2019 23:19:09	running install_lib
build	18-Sep-2019 23:19:09	running build_py
build	18-Sep-2019 23:19:09	creating build/lib
build	18-Sep-2019 23:19:09	creating build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/setjy.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/rerefant.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/cvel.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imregrid.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/sdimaging.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/polfromgain.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/blcal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/rmfit.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/predictcomp.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/virtualconcat.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/uvmodelfit.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/spxfit.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/sdfixscan.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/fixplanets.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imreframe.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importmiriad.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/mstransform.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imrebin.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/specsmooth.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/delmod.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/widebandpbcor.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/visstat.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/hanningsmooth.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importvla.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/tclean.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/listcal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/cvel2.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/listpartition.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/exportfits.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/sdsmooth.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/asdmsummary.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/clearcal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/rmtables.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/clearstat.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/partition.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imtrans.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/flagcmd.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importfitsidi.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/fixvis.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imval.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importnro.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/sdcal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/plotants.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importasdm.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/smoothcal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/sdgaincal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/accum.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/__init__.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/listhistory.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importgmrt.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/gaincal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/immath.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/bandpass.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/simanalyze.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/specflux.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/plotweather.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/applycal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/sdbaseline.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importuvfits.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/listobs.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imstat.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/listsdm.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/immoments.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importasap.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/uvcontsub.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/exportasdm.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/fluxscale.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/gencal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imcollapse.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/config.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/fringefit.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imcontsub.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/vishead.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/calstat.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imdev.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/feather.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/specfit.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/uvsub.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/ft.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/initweights.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/listfits.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imsubimage.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/simalma.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/impv.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/split.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/polcal.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/conjugatevis.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/flagdata.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/slsearch.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/imfit.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/flagmanager.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/simobserve.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/makemask.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/exportuvfits.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/sdfit.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importatca.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/splattotable.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/accor.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/impbcor.py -> build/lib/casatasks
build	18-Sep-2019 23:19:09	copying build/lib.linux-x86_64-3.6/casatasks/importfits.py -> build/lib/casatasks
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/listvis.py -> build/lib/casatasks
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/imsmooth.py -> build/lib/casatasks
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/imhistory.py -> build/lib/casatasks
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/concat.py -> build/lib/casatasks
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/plotbandpass.py -> build/lib/casatasks
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/statwt.py -> build/lib/casatasks
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/imhead.py -> build/lib/casatasks
error	18-Sep-2019 23:19:10	package init file 'build/lib.linux-x86_64-3.6/casatasks/__xml__/__init__.py' not found (or not a regular file)
error	18-Sep-2019 23:19:10	package init file 'build/lib.linux-x86_64-3.6/casatasks/private/__init__.py' not found (or not a regular file)
build	18-Sep-2019 23:19:10	creating build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_fixplanets.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_accum.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_uvmodelfit.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imsubimage.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importvla.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/JPLephem_reader2.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_sdfit.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_applycal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imcollapse.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_plotants.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imval.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_feather.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_listhistory.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_listpartition.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_fluxscale.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_tclean.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/vishead_util.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_listfits.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_mstransform.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_asdmsummary.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importfitsidi.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_clearstat.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_sdbaseline.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_listobs.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_uvsub.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imhead.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_simobserve.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/setjy_helper.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importgmrt.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_statwt.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_vishead.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_cvel2.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/convertephem.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_plotbandpass.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importnro.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_split.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_calstat.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/sdbeamutil.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imstat.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_cvel.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_splattotable.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/correct_ant_posns.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_listcal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/flaghelper.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/userconfig.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_spxfit.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_flagcmd.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_flagdata.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importatca.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importmiriad.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/correct_ant_posns_alma.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/cleanhelper.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_flagmanager.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imreframe.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_setjy.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_virtualconcat.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importasap.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_ft.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/casa_transition.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_plotweather.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_visstat.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_impv.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imrebin.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_slsearch.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_specsmooth.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_listvis.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_hanningsmooth.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_sdgaincal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_initweights.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_blcal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_simanalyze.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importfits.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_partition.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imfit.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_sdsmooth.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importuvfits.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_gaincal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_widebandpbcor.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_concat.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_immoments.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_clearcal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_conjugatevis.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/solar_system_setjy.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_polcal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_impbcor.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imsmooth.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/mstools.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_rmtables.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_predictcomp.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_listsdm.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/sdutil.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/partitionhelper.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_importasdm.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_simalma.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imregrid.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/ialib.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_sdcal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_delmod.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_exportuvfits.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_bandpass.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_makemask.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/callibrary.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imtools.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_exportasdm.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_polfromgain.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_specfit.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/concatephem.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/predictcomp_helper.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_logging.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/correct_ant_posns_evla.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/update_spw.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_exportfits.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_smoothcal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/simutil.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imtrans.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_fixvis.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_specflux.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_rmfit.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/cvt.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_accor.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imcontsub.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_fringefit.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imdev.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_immath.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_sdfixscan.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_uvcontsub.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_gencal.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_imhistory.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_sdimaging.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/task_rerefant.py -> build/lib/casatasks/private
build	18-Sep-2019 23:19:10	creating build/lib/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/parallel/parallel_task_helper.py -> build/lib/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/parallel/parallel_data_helper.py -> build/lib/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/parallel/rflag_post_proc.py -> build/lib/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/parallel/__init__.py -> build/lib/casatasks/private/parallel
build	18-Sep-2019 23:19:10	creating build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers/imager_parallel_cube.py -> build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers/__init__.py -> build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers/parallel_imager_helper.py -> build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers/imager_parallel_deconvolver.py -> build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers/input_parameters.py -> build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers/imager_parallel_continuum.py -> build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/private/imagerhelpers/imager_base.py -> build/lib/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	creating build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/rerefant.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/listvis.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importasdm.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/rmtables.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/blcal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/accum.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/fringefit.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importfits.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/specflux.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/fluxscale.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/flagmanager.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/calstat.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/uvsub.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importfitsidi.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imstat.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/visstat.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/simanalyze.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/listpartition.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/uvmodelfit.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/exportuvfits.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/bandpass.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/flagdata.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/sdbaseline.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/clearcal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/accor.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/sdcal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/delmod.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/applycal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/polfromgain.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/slsearch.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/polcal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imval.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/tclean.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/splattotable.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/mstransform.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/concat.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/listsdm.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/statwt.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importvla.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importgmrt.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/immath.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/exportasdm.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/impbcor.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/widebandpbcor.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imdev.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/rmfit.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/predictcomp.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/initweights.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/virtualconcat.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/plotants.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imreframe.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/spxfit.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imtrans.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/listobs.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imsmooth.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importasap.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imhead.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/sdimaging.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/flagcmd.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/fixvis.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/partition.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/specsmooth.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/gencal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/specfit.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/simobserve.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/feather.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imcontsub.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/hanningsmooth.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/smoothcal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imhistory.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/listfits.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/cvel2.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imrebin.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/clearstat.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/sdsmooth.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/listhistory.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importmiriad.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/conjugatevis.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importnro.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imregrid.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imfit.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/uvcontsub.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importatca.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/plotbandpass.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/simalma.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/gaincal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/exportfits.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/cvel.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/plotweather.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/sdgaincal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/importuvfits.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/fixplanets.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/vishead.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imcollapse.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/split.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/imsubimage.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/asdmsummary.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/listcal.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/impv.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/makemask.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/immoments.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/setjy.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/ft.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/sdfixscan.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib.linux-x86_64-3.6/casatasks/__xml__/sdfit.xml -> build/lib/casatasks/__xml__
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64/wheel
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/setjy.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/rerefant.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/cvel.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imregrid.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/sdimaging.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/polfromgain.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/blcal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/rmfit.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/predictcomp.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/virtualconcat.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/uvmodelfit.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/spxfit.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/sdfixscan.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/fixplanets.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imreframe.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importmiriad.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/mstransform.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imrebin.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/specsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_fixplanets.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_accum.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_uvmodelfit.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imsubimage.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importvla.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/JPLephem_reader2.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_sdfit.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_applycal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imcollapse.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_plotants.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imval.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_feather.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_listhistory.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_listpartition.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_fluxscale.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_tclean.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/vishead_util.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_listfits.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_mstransform.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_asdmsummary.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importfitsidi.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_clearstat.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_sdbaseline.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_listobs.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_uvsub.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imhead.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_simobserve.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/setjy_helper.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importgmrt.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_statwt.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_vishead.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_cvel2.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/convertephem.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_plotbandpass.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importnro.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_split.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_calstat.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/sdbeamutil.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imstat.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_cvel.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_splattotable.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/correct_ant_posns.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_listcal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/flaghelper.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/userconfig.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_spxfit.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_flagcmd.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_flagdata.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importatca.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importmiriad.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/correct_ant_posns_alma.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/cleanhelper.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_flagmanager.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imreframe.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_setjy.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_virtualconcat.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importasap.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_ft.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/casa_transition.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_plotweather.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_visstat.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_impv.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imrebin.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_slsearch.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_specsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_listvis.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_hanningsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64/wheel/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/parallel/parallel_task_helper.py -> build/bdist.linux-x86_64/wheel/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/parallel/parallel_data_helper.py -> build/bdist.linux-x86_64/wheel/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/parallel/rflag_post_proc.py -> build/bdist.linux-x86_64/wheel/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/parallel/__init__.py -> build/bdist.linux-x86_64/wheel/casatasks/private/parallel
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_sdgaincal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_initweights.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_blcal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_simanalyze.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importfits.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_partition.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imfit.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_sdsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importuvfits.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_gaincal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_widebandpbcor.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_concat.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_immoments.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_clearcal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_conjugatevis.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/solar_system_setjy.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_polcal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_impbcor.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/mstools.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_rmtables.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_predictcomp.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_listsdm.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/sdutil.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/partitionhelper.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_importasdm.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_simalma.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imregrid.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/ialib.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_sdcal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_delmod.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imagerhelpers/imager_parallel_cube.py -> build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imagerhelpers/__init__.py -> build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imagerhelpers/parallel_imager_helper.py -> build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imagerhelpers/imager_parallel_deconvolver.py -> build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imagerhelpers/input_parameters.py -> build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imagerhelpers/imager_parallel_continuum.py -> build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imagerhelpers/imager_base.py -> build/bdist.linux-x86_64/wheel/casatasks/private/imagerhelpers
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_exportuvfits.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_bandpass.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_makemask.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/callibrary.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/imtools.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_exportasdm.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_polfromgain.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_specfit.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/concatephem.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/predictcomp_helper.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_logging.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/correct_ant_posns_evla.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/update_spw.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_exportfits.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_smoothcal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/simutil.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imtrans.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_fixvis.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_specflux.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_rmfit.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/cvt.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_accor.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imcontsub.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_fringefit.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imdev.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_immath.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_sdfixscan.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_uvcontsub.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_gencal.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_imhistory.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_sdimaging.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/private/task_rerefant.py -> build/bdist.linux-x86_64/wheel/casatasks/private
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/delmod.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/widebandpbcor.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/visstat.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/hanningsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importvla.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/tclean.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/listcal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/cvel2.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/listpartition.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/exportfits.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/sdsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/asdmsummary.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/clearcal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/rmtables.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/clearstat.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/partition.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imtrans.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/flagcmd.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importfitsidi.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/fixvis.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imval.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importnro.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/sdcal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/plotants.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importasdm.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/smoothcal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/sdgaincal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/accum.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__init__.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/listhistory.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importgmrt.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/gaincal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/immath.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/bandpass.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/simanalyze.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/specflux.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/plotweather.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/applycal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/sdbaseline.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importuvfits.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/listobs.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imstat.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/listsdm.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/immoments.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importasap.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/uvcontsub.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/rerefant.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/listvis.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importasdm.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/rmtables.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/blcal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/accum.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/fringefit.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importfits.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/specflux.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/fluxscale.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/flagmanager.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/calstat.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/uvsub.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importfitsidi.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imstat.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/visstat.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/simanalyze.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/listpartition.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/uvmodelfit.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/exportuvfits.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/bandpass.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/flagdata.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/sdbaseline.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/clearcal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/accor.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/sdcal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/delmod.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/applycal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/polfromgain.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/slsearch.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/polcal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imval.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/tclean.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/splattotable.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/mstransform.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/concat.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/listsdm.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/statwt.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importvla.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importgmrt.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/immath.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/exportasdm.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/impbcor.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/widebandpbcor.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imdev.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/rmfit.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/predictcomp.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/initweights.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/virtualconcat.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/plotants.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imreframe.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/spxfit.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imtrans.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/listobs.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imsmooth.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importasap.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imhead.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/sdimaging.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/flagcmd.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/fixvis.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/partition.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/specsmooth.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/gencal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/specfit.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/simobserve.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/feather.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imcontsub.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/hanningsmooth.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/smoothcal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imhistory.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/listfits.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/cvel2.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imrebin.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/clearstat.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/sdsmooth.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/listhistory.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importmiriad.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/conjugatevis.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importnro.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imregrid.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imfit.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/uvcontsub.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importatca.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/plotbandpass.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/simalma.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/gaincal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/exportfits.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/cvel.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/plotweather.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/sdgaincal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/importuvfits.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/fixplanets.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/vishead.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imcollapse.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/split.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/imsubimage.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/asdmsummary.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/listcal.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/impv.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/makemask.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/immoments.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/setjy.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/ft.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/sdfixscan.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/__xml__/sdfit.xml -> build/bdist.linux-x86_64/wheel/casatasks/__xml__
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/exportasdm.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/fluxscale.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/gencal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imcollapse.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/config.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/fringefit.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imcontsub.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/vishead.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/calstat.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imdev.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/feather.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/specfit.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/uvsub.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/ft.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/initweights.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/listfits.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imsubimage.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/simalma.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/impv.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/split.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/polcal.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/conjugatevis.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/flagdata.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/slsearch.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imfit.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/flagmanager.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/simobserve.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/makemask.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/exportuvfits.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/sdfit.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importatca.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/splattotable.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/accor.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/impbcor.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/importfits.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/listvis.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imsmooth.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imhistory.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/concat.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/plotbandpass.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/statwt.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	copying build/lib/casatasks/imhead.py -> build/bdist.linux-x86_64/wheel/casatasks
build	18-Sep-2019 23:19:10	running install_egg_info
build	18-Sep-2019 23:19:10	running egg_info
build	18-Sep-2019 23:19:10	creating casatasks.egg-info
build	18-Sep-2019 23:19:10	writing casatasks.egg-info/PKG-INFO
build	18-Sep-2019 23:19:10	writing dependency_links to casatasks.egg-info/dependency_links.txt
build	18-Sep-2019 23:19:10	writing requirements to casatasks.egg-info/requires.txt
build	18-Sep-2019 23:19:10	writing top-level names to casatasks.egg-info/top_level.txt
build	18-Sep-2019 23:19:10	writing manifest file 'casatasks.egg-info/SOURCES.txt'
build	18-Sep-2019 23:19:10	reading manifest file 'casatasks.egg-info/SOURCES.txt'
build	18-Sep-2019 23:19:10	writing manifest file 'casatasks.egg-info/SOURCES.txt'
build	18-Sep-2019 23:19:10	Copying casatasks.egg-info to build/bdist.linux-x86_64/wheel/casatasks-2019.151-py3.6.egg-info
build	18-Sep-2019 23:19:10	running install_scripts
build	18-Sep-2019 23:19:10	creating build/bdist.linux-x86_64/wheel/casatasks-2019.151.dist-info/WHEEL
build	18-Sep-2019 23:19:10	creating 'dist/casatasks-2019.151-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
build	18-Sep-2019 23:19:10	adding 'casatasks/__init__.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/accor.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/accum.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/applycal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/asdmsummary.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/bandpass.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/blcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/calstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/clearcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/clearstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/concat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/config.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/conjugatevis.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/cvel.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/cvel2.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/delmod.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/exportasdm.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/exportfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/exportuvfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/feather.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/fixplanets.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/fixvis.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/flagcmd.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/flagdata.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/flagmanager.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/fluxscale.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/fringefit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/ft.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/gaincal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/gencal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/hanningsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imcollapse.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imcontsub.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imdev.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imhead.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imhistory.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/immath.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/immoments.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/impbcor.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importasap.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importasdm.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importatca.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importfitsidi.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importgmrt.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importmiriad.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importnro.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importuvfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/importvla.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/impv.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imrebin.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imreframe.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imregrid.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imsubimage.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imtrans.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/imval.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/initweights.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/listcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/listfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/listhistory.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/listobs.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/listpartition.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/listsdm.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/listvis.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/makemask.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/mstransform.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/partition.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/plotants.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/plotbandpass.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/plotweather.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/polcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/polfromgain.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/predictcomp.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/rerefant.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/rmfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/rmtables.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/sdbaseline.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/sdcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/sdfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/sdfixscan.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/sdgaincal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/sdimaging.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/sdsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/setjy.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/simalma.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/simanalyze.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/simobserve.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/slsearch.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/smoothcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/specfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/specflux.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/specsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/splattotable.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/split.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/spxfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/statwt.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/tclean.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/uvcontsub.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/uvmodelfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/uvsub.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/virtualconcat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/vishead.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/visstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/widebandpbcor.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/accor.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/accum.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/applycal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/asdmsummary.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/bandpass.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/blcal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/calstat.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/clearcal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/clearstat.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/concat.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/conjugatevis.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/cvel.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/cvel2.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/delmod.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/exportasdm.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/exportfits.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/exportuvfits.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/feather.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/fixplanets.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/fixvis.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/flagcmd.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/flagdata.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/flagmanager.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/fluxscale.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/fringefit.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/ft.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/gaincal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/gencal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/hanningsmooth.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imcollapse.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imcontsub.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imdev.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imfit.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imhead.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imhistory.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/immath.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/immoments.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/impbcor.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importasap.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importasdm.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importatca.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importfits.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importfitsidi.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importgmrt.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importmiriad.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importnro.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importuvfits.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/importvla.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/impv.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imrebin.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imreframe.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imregrid.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imsmooth.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imstat.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imsubimage.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imtrans.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/imval.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/initweights.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/listcal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/listfits.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/listhistory.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/listobs.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/listpartition.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/listsdm.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/listvis.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/makemask.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/mstransform.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/partition.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/plotants.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/plotbandpass.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/plotweather.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/polcal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/polfromgain.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/predictcomp.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/rerefant.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/rmfit.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/rmtables.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/sdbaseline.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/sdcal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/sdfit.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/sdfixscan.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/sdgaincal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/sdimaging.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/sdsmooth.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/setjy.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/simalma.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/simanalyze.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/simobserve.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/slsearch.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/smoothcal.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/specfit.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/specflux.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/specsmooth.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/splattotable.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/split.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/spxfit.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/statwt.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/tclean.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/uvcontsub.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/uvmodelfit.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/uvsub.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/virtualconcat.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/vishead.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/visstat.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/__xml__/widebandpbcor.xml'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/JPLephem_reader2.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/callibrary.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/casa_transition.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/cleanhelper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/concatephem.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/convertephem.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/correct_ant_posns.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/correct_ant_posns_alma.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/correct_ant_posns_evla.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/cvt.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/flaghelper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/ialib.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imtools.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/mstools.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/partitionhelper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/predictcomp_helper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/sdbeamutil.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/sdutil.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/setjy_helper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/simutil.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/solar_system_setjy.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_accor.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_accum.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_applycal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_asdmsummary.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_bandpass.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_blcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_calstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_clearcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_clearstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_concat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_conjugatevis.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_cvel.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_cvel2.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_delmod.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_exportasdm.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_exportfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_exportuvfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_feather.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_fixplanets.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_fixvis.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_flagcmd.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_flagdata.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_flagmanager.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_fluxscale.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_fringefit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_ft.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_gaincal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_gencal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_hanningsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imcollapse.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imcontsub.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imdev.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imhead.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imhistory.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_immath.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_immoments.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_impbcor.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importasap.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importasdm.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importatca.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importfitsidi.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importgmrt.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importmiriad.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importnro.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importuvfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_importvla.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_impv.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imrebin.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imreframe.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imregrid.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imsubimage.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imtrans.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_imval.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_initweights.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_listcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_listfits.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_listhistory.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_listobs.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_listpartition.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_listsdm.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_listvis.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_logging.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_makemask.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_mstransform.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_partition.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_plotants.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_plotbandpass.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_plotweather.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_polcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_polfromgain.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_predictcomp.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_rerefant.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_rmfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_rmtables.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_sdbaseline.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_sdcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_sdfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_sdfixscan.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_sdgaincal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_sdimaging.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_sdsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_setjy.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_simalma.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_simanalyze.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_simobserve.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_slsearch.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_smoothcal.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_specfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_specflux.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_specsmooth.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_splattotable.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_split.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_spxfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_statwt.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_tclean.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_uvcontsub.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_uvmodelfit.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_uvsub.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_virtualconcat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_vishead.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_visstat.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/task_widebandpbcor.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/update_spw.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/userconfig.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/vishead_util.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imagerhelpers/__init__.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imagerhelpers/imager_base.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imagerhelpers/imager_parallel_continuum.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imagerhelpers/imager_parallel_cube.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imagerhelpers/imager_parallel_deconvolver.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imagerhelpers/input_parameters.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/imagerhelpers/parallel_imager_helper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/parallel/__init__.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/parallel/parallel_data_helper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/parallel/parallel_task_helper.py'
build	18-Sep-2019 23:19:10	adding 'casatasks/private/parallel/rflag_post_proc.py'
build	18-Sep-2019 23:19:10	adding 'casatasks-2019.151.dist-info/METADATA'
build	18-Sep-2019 23:19:10	adding 'casatasks-2019.151.dist-info/WHEEL'
build	18-Sep-2019 23:19:10	adding 'casatasks-2019.151.dist-info/top_level.txt'
build	18-Sep-2019 23:19:10	adding 'casatasks-2019.151.dist-info/RECORD'
build	18-Sep-2019 23:19:10	removing build/bdist.linux-x86_64/wheel
build	18-Sep-2019 23:19:11	Cloning into 'casatasks'...
build	18-Sep-2019 23:19:12	Cloning into 'casa-build-utils'...
build	18-Sep-2019 23:19:12	diff --git a/casa-source b/casa-source
build	18-Sep-2019 23:19:12	index 625c27e..b754f51 160000
build	18-Sep-2019 23:19:12	--- a/casa-source
build	18-Sep-2019 23:19:12	+++ b/casa-source
build	18-Sep-2019 23:19:12	@@ -1 +1 @@
build	18-Sep-2019 23:19:12	-Subproject commit 625c27ecd78f40c8571b8ea2e55b2507725bad7d
build	18-Sep-2019 23:19:12	+Subproject commit b754f51ceb53a1d87dd042f3e2865327424ab083
build	18-Sep-2019 23:19:12	diff --git a/setup.py b/setup.py
build	18-Sep-2019 23:19:12	index 439820e..65c538f 100755
build	18-Sep-2019 23:19:12	--- a/setup.py
build	18-Sep-2019 23:19:12	+++ b/setup.py
build	18-Sep-2019 23:19:12	@@ -85,6 +85,14 @@ import re
build	18-Sep-2019 23:19:12	 from os import listdir
build	18-Sep-2019 23:19:12	 from os.path import isfile, join, islink
build	18-Sep-2019 23:19:12	 from itertools import chain
build	18-Sep-2019 23:19:12	+import argparse
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+parser=argparse.ArgumentParser()
build	18-Sep-2019 23:19:12	+parser.add_argument('--version', help='version')
build	18-Sep-2019 23:19:12	+parser.add_argument('bdist_wheel', help='bdist_wheel')
build	18-Sep-2019 23:19:12	+args=parser.parse_args()
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+print (args.version)
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	 module_name = 'casatasks'
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	@@ -119,7 +127,12 @@ def compute_version( ):
build	18-Sep-2019 23:19:12	         sys.exit("couldn't determine version number")
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	     master_tags = [t for t in out.split('\n') if '-mas-' in t]
build	18-Sep-2019 23:19:12	-    return (year,len(master_tags))
build	18-Sep-2019 23:19:12	+    if (args.version != None ):
build	18-Sep-2019 23:19:12	+        print (args.version.split("."))
build	18-Sep-2019 23:19:12	+        (major, minor) = args.version.split(".")
build	18-Sep-2019 23:19:12	+        return(int(major), int(minor))
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        return (year,len(master_tags))
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	 (casatasks_major,casatasks_minor) = compute_version( )
build	18-Sep-2019 23:19:12	@@ -254,6 +267,8 @@ private_scripts = [ 'src/scripts/userconfig.py',
build	18-Sep-2019 23:19:12	                     'src/tasks/task_importmiriad.py',
build	18-Sep-2019 23:19:12	                     'src/tasks/task_plotweather.py',
build	18-Sep-2019 23:19:12	                     'src/tasks/task_plotants.py',
build	18-Sep-2019 23:19:12	+                    'src/tasks/task_fringefit.py',
build	18-Sep-2019 23:19:12	+                    'src/tasks/task_plotbandpass.py',
build	18-Sep-2019 23:19:12	                     'src/scripts/predictcomp_helper.py',
build	18-Sep-2019 23:19:12	                     'src/scripts/task_logging.py',
build	18-Sep-2019 23:19:12	 ]
build	18-Sep-2019 23:19:12	@@ -363,6 +378,8 @@ xml_xlate = { 'casa-source/gcwrap/tasks/imhead.xml': 'xml/imhead.xml',
build	18-Sep-2019 23:19:12	               'casa-source/gcwrap/tasks/importmiriad.xml': 'xml/importmiriad.xml',
build	18-Sep-2019 23:19:12	               'casa-source/gcwrap/tasks/plotweather.xml': 'xml/plotweather.xml',
build	18-Sep-2019 23:19:12	               'casa-source/gcwrap/tasks/plotants.xml': 'xml/plotants.xml',
build	18-Sep-2019 23:19:12	+              'casa-source/gcwrap/tasks/fringefit.xml': 'xml/fringefit.xml',
build	18-Sep-2019 23:19:12	+              'casa-source/gcwrap/tasks/plotbandpass.xml': 'xml/plotbandpass.xml',
build	18-Sep-2019 23:19:12	 }
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	 xml_files = [ 'xml/imhead.xml',
build	18-Sep-2019 23:19:12	@@ -468,6 +485,8 @@ xml_files = [ 'xml/imhead.xml',
build	18-Sep-2019 23:19:12	               'xml/importmiriad.xml',
build	18-Sep-2019 23:19:12	               'xml/plotweather.xml',
build	18-Sep-2019 23:19:12	               'xml/plotants.xml',
build	18-Sep-2019 23:19:12	+              'xml/fringefit.xml',
build	18-Sep-2019 23:19:12	+              'xml/plotbandpass.xml',
build	18-Sep-2019 23:19:12	 ]
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	 if pyversion < 3:
build	18-Sep-2019 23:19:12	@@ -632,9 +651,9 @@ class BuildCasa(build):
build	18-Sep-2019 23:19:12	         print("generating task python files...")
build	18-Sep-2019 23:19:12	         proc = Popen( [tools_config['build.compiler.xml-casa'], "output-task=%s" % moduledir, "-task"] + xml_files,
build	18-Sep-2019 23:19:12	                       stdout=subprocess.PIPE )
build	18-Sep-2019 23:19:12	-    
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	         (output, error) = pipe_decode(proc.communicate( ))
build	18-Sep-2019 23:19:12	-    
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	         exit_code = proc.wait( )
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	         if exit_code != 0:
build	18-Sep-2019 23:19:12	@@ -791,7 +810,32 @@ class TestCasa(Command):
build	18-Sep-2019 23:19:12	 cmd_setup = { 'build': BuildCasa, 'test': TestCasa }
build	18-Sep-2019 23:19:12	 try:
build	18-Sep-2019 23:19:12	     from wheel.bdist_wheel import bdist_wheel
build	18-Sep-2019 23:19:12	-    cmd_setup['bdist_wheel'] = bdist_wheel
build	18-Sep-2019 23:19:12	+    class casa_binary_wheel(bdist_wheel):
build	18-Sep-2019 23:19:12	+        user_options = bdist_wheel.user_options + [
build	18-Sep-2019 23:19:12	+            # The format is (long option, short option, description).
build	18-Sep-2019 23:19:12	+            ('debug', None, 'build a debugging version'),
build	18-Sep-2019 23:19:12	+            ('version=', None, 'Silence distutils when passing version for bdist_wheel from the command line'),
build	18-Sep-2019 23:19:12	+        ]
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        def initialize_options(self):
build	18-Sep-2019 23:19:12	+            self.version = None
build	18-Sep-2019 23:19:12	+            bdist_wheel.initialize_options(self)
build	18-Sep-2019 23:19:12	+            if '--debug' in sys.argv:
build	18-Sep-2019 23:19:12	+                global _debug_build_
build	18-Sep-2019 23:19:12	+                _debug_build_ = True
build	18-Sep-2019 23:19:12	+                self.debug = 1
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                self.debug = 0
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        def run(self):
build	18-Sep-2019 23:19:12	+            global doing_wheel_build
build	18-Sep-2019 23:19:12	+            doing_wheel_build = True
build	18-Sep-2019 23:19:12	+            bdist_wheel.run(self)
build	18-Sep-2019 23:19:12	+            doing_wheel_build = False
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    wheel_build = casa_binary_wheel
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    cmd_setup['bdist_wheel'] = casa_binary_wheel
build	18-Sep-2019 23:19:12	 except ImportError:
build	18-Sep-2019 23:19:12	     pass  # custom command not needed if wheel is not installed
build	18-Sep-2019 23:19:12	 
build	18-Sep-2019 23:19:12	@@ -806,7 +850,7 @@ setup( name=module_name,version=casatasks_version,
build	18-Sep-2019 23:19:12	        packages=[ module_name,
build	18-Sep-2019 23:19:12	                   "%s.__xml__" % module_name,
build	18-Sep-2019 23:19:12	                   "%s.private" % module_name,
build	18-Sep-2019 23:19:12	-                  "%s.private.parallel" % module_name, 
build	18-Sep-2019 23:19:12	+                  "%s.private.parallel" % module_name,
build	18-Sep-2019 23:19:12	                   "%s.private.imagerhelpers" % module_name ],
build	18-Sep-2019 23:19:12	        classifiers=[ 'Programming Language :: Python :: %s' % pyversion ],
build	18-Sep-2019 23:19:12	        description="the CASA tasks",
build	18-Sep-2019 23:19:12	diff --git a/src/tasks/task_fringefit.py b/src/tasks/task_fringefit.py
build	18-Sep-2019 23:19:12	new file mode 100644
build	18-Sep-2019 23:19:12	index 0000000..8b0d8b4
build	18-Sep-2019 23:19:12	--- /dev/null
build	18-Sep-2019 23:19:12	+++ b/src/tasks/task_fringefit.py
build	18-Sep-2019 23:19:12	@@ -0,0 +1,147 @@
build	18-Sep-2019 23:19:12	+from __future__ import absolute_import
build	18-Sep-2019 23:19:12	+from __future__ import print_function
build	18-Sep-2019 23:19:12	+import os
build	18-Sep-2019 23:19:12	+import numpy as np
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+from casatasks.private.casa_transition import is_CASA6
build	18-Sep-2019 23:19:12	+if is_CASA6:
build	18-Sep-2019 23:19:12	+    from .callibrary import *
build	18-Sep-2019 23:19:12	+    from casatools import calibrater
build	18-Sep-2019 23:19:12	+    from casatasks import casalog
build	18-Sep-2019 23:19:12	+else:
build	18-Sep-2019 23:19:12	+    from callibrary import *
build	18-Sep-2019 23:19:12	+    from taskinit import *
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    calibrater = cbtool
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def fringefit(vis=None,caltable=None,
build	18-Sep-2019 23:19:12	+              field=None,spw=None,intent=None,
build	18-Sep-2019 23:19:12	+              selectdata=None,timerange=None,antenna=None,scan=None,
build	18-Sep-2019 23:19:12	+              observation=None, msselect=None,
build	18-Sep-2019 23:19:12	+              solint=None,combine=None,refant=None,
build	18-Sep-2019 23:19:12	+              minsnr=None,zerorates=None,globalsolve=None,niter=None,
build	18-Sep-2019 23:19:12	+              delaywindow=None,ratewindow=None,append=None,
build	18-Sep-2019 23:19:12	+              docallib=None,callib=None,gaintable=None,gainfield=None,interp=None,spwmap=None,
build	18-Sep-2019 23:19:12	+              parang=None):
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    #Python script
build	18-Sep-2019 23:19:12	+    casalog.origin('fringefit')
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    try: 
build	18-Sep-2019 23:19:12	+        mycb = calibrater()
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        if ((type(vis)==str) & (os.path.exists(vis))):
build	18-Sep-2019 23:19:12	+            mycb.open(filename=vis,compress=False,addcorr=False,addmodel=False)
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            raise Exception('Visibility data set not found - please verify the name')
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        # Do data selection according to selectdata
build	18-Sep-2019 23:19:12	+        if (selectdata):
build	18-Sep-2019 23:19:12	+            # pass all data selection parameters in as specified
build	18-Sep-2019 23:19:12	+            mycb.selectvis(time=timerange,spw=spw, scan=scan, field=field,
build	18-Sep-2019 23:19:12	+                           intent=intent, observation=str(observation),
build	18-Sep-2019 23:19:12	+                           baseline=antenna,chanmode='none',
build	18-Sep-2019 23:19:12	+                           msselect=msselect)
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            # selectdata=F, so time,scan,baseline,msselect=''
build	18-Sep-2019 23:19:12	+            # using spw and field specifications only
build	18-Sep-2019 23:19:12	+            mycb.selectvis(time='',spw=spw,scan='',field=field,intent=intent,
build	18-Sep-2019 23:19:12	+                           observation='', baseline='',
build	18-Sep-2019 23:19:12	+                           chanmode='none', msselect='')
build	18-Sep-2019 23:19:12	+                        
build	18-Sep-2019 23:19:12	+        # Arrange applies....
build	18-Sep-2019 23:19:12	+            
build	18-Sep-2019 23:19:12	+        if docallib:
build	18-Sep-2019 23:19:12	+            # by cal library from file
build	18-Sep-2019 23:19:12	+            mycallib=callibrary()
build	18-Sep-2019 23:19:12	+            mycallib.read(callib)
build	18-Sep-2019 23:19:12	+            mycb.setcallib(mycallib.cld)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+            # by traditional parameters
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+            ngaintab = 0;
build	18-Sep-2019 23:19:12	+            if (gaintable!=['']):
build	18-Sep-2019 23:19:12	+                ngaintab=len(gaintable)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+            ngainfld = len(gainfield)
build	18-Sep-2019 23:19:12	+            nspwmap = len(spwmap)
build	18-Sep-2019 23:19:12	+            ninterp = len(interp)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+            # handle list of list issues with spwmap
build	18-Sep-2019 23:19:12	+            if (nspwmap>0):
build	18-Sep-2019 23:19:12	+                if (type(spwmap[0])!=list):
build	18-Sep-2019 23:19:12	+                    # first element not a list, only one spwmap specified
build	18-Sep-2019 23:19:12	+                    # make it a list of list
build	18-Sep-2019 23:19:12	+                    spwmap=[spwmap];
build	18-Sep-2019 23:19:12	+                    nspwmap=1;
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+            for igt in range(ngaintab):
build	18-Sep-2019 23:19:12	+                if (gaintable[igt]!=''):
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+                    # field selection is null unless specified
build	18-Sep-2019 23:19:12	+                    thisgainfield=''
build	18-Sep-2019 23:19:12	+                    if (igt<ngainfld):
build	18-Sep-2019 23:19:12	+                        thisgainfield=gainfield[igt]
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+                    # spwmap is null unless specifed
build	18-Sep-2019 23:19:12	+                    thisspwmap=[-1]
build	18-Sep-2019 23:19:12	+                    if (igt<nspwmap):
build	18-Sep-2019 23:19:12	+                        thisspwmap=spwmap[igt];
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+                    # interp is 'linear' unless specified
build	18-Sep-2019 23:19:12	+                    thisinterp='linear'
build	18-Sep-2019 23:19:12	+                    if (igt<ninterp):
build	18-Sep-2019 23:19:12	+                        if (interp[igt]==''):
build	18-Sep-2019 23:19:12	+                            interp[igt]=thisinterp;
build	18-Sep-2019 23:19:12	+                        thisinterp=interp[igt];
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+                    mycb.setapply(t=0.0,table=gaintable[igt],field=thisgainfield,
build	18-Sep-2019 23:19:12	+                                  calwt=True,spwmap=thisspwmap,interp=thisinterp)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+            if len(delaywindow) != 2:
build	18-Sep-2019 23:19:12	+                delaywindow = [-1e6, 1e6]
build	18-Sep-2019 23:19:12	+            if len(ratewindow) != 2:
build	18-Sep-2019 23:19:12	+                ratewindow = [-1e6, 1e6]
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        # ...and now the specialized terms
build	18-Sep-2019 23:19:12	+        # (BTW, interp irrelevant for these, since they are evaluated)
build	18-Sep-2019 23:19:12	+                
build	18-Sep-2019 23:19:12	+        # Apply parallactic angle, if requested
build	18-Sep-2019 23:19:12	+        if parang: mycb.setapply(type='P')
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        # Set up for solving; only support one gaintype
build	18-Sep-2019 23:19:12	+        mycb.setsolve(type="FRINGE",t=solint,refant=refant,preavg=0.01,
build	18-Sep-2019 23:19:12	+                      minsnr=minsnr,combine=combine,
build	18-Sep-2019 23:19:12	+                      zerorates=zerorates,
build	18-Sep-2019 23:19:12	+                      globalsolve=globalsolve,
build	18-Sep-2019 23:19:12	+                      niter=niter,
build	18-Sep-2019 23:19:12	+                      delaywindow=delaywindow,
build	18-Sep-2019 23:19:12	+                      ratewindow=ratewindow,
build	18-Sep-2019 23:19:12	+                      table=caltable,append=append)
build	18-Sep-2019 23:19:12	+        mycb.solve()
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        reportsolvestats(mycb.activityrec());
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        mycb.close()
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    except Exception as instance:
build	18-Sep-2019 23:19:12	+        print('*** Error *** %s' % str(instance))
build	18-Sep-2019 23:19:12	+        mycb.close()
build	18-Sep-2019 23:19:12	+        casalog.post("Error in fringefit: %s" % str(instance), "SEVERE")
build	18-Sep-2019 23:19:12	+        raise Exception ("Error in fringefit: %s" % str(instance))
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def reportsolvestats(rec):
build	18-Sep-2019 23:19:12	+    if (list(rec.keys()).count('origin')==1 and
build	18-Sep-2019 23:19:12	+        rec['origin']=='Calibrater::genericGatherAndSolve'):
build	18-Sep-2019 23:19:12	+        casalog.post("Calibration solve statistics per spw:  (expected/attempted/succeeded):")
build	18-Sep-2019 23:19:12	+        nexp=rec['nExpected']
build	18-Sep-2019 23:19:12	+        natt=rec['nAttempt']
build	18-Sep-2019 23:19:12	+        nsuc=rec['nSucceed']
build	18-Sep-2019 23:19:12	+        for ispw in range(len(nexp)):
build	18-Sep-2019 23:19:12	+            solstatstr="  Spw "+str(ispw)+": "
build	18-Sep-2019 23:19:12	+            solstatstr+=str(nexp[ispw])+"/"
build	18-Sep-2019 23:19:12	+            solstatstr+=str(natt[ispw])+"/"
build	18-Sep-2019 23:19:12	+            solstatstr+=str(nsuc[ispw])
build	18-Sep-2019 23:19:12	+            casalog.post(solstatstr)
build	18-Sep-2019 23:19:12	diff --git a/src/tasks/task_plotbandpass.py b/src/tasks/task_plotbandpass.py
build	18-Sep-2019 23:19:12	new file mode 100644
build	18-Sep-2019 23:19:12	index 0000000..f0409fa
build	18-Sep-2019 23:19:12	--- /dev/null
build	18-Sep-2019 23:19:12	+++ b/src/tasks/task_plotbandpass.py
build	18-Sep-2019 23:19:12	@@ -0,0 +1,7577 @@
build	18-Sep-2019 23:19:12	+#########################################################################
build	18-Sep-2019 23:19:12	+#
build	18-Sep-2019 23:19:12	+#  task_plotbandpass.py
build	18-Sep-2019 23:19:12	+#
build	18-Sep-2019 23:19:12	+#  Developed at the NAASC, this is a generic task to display CASA Tsys and 
build	18-Sep-2019 23:19:12	+#  bandpass solution tables with options to overlay them in various
build	18-Sep-2019 23:19:12	+#  combinations, and/or with an atmospheric transmission or sky temperature
build	18-Sep-2019 23:19:12	+#  model.  It works with both the 'new' (casa 3.4) and 'old' calibration
build	18-Sep-2019 23:19:12	+#  table formats, and allows for mixed mode spws (e.g. TDM and FDM for ALMA).
build	18-Sep-2019 23:19:12	+#  It uses the new msmd tool to access the information about an ms.
build	18-Sep-2019 23:19:12	+#
build	18-Sep-2019 23:19:12	+#  Todd R. Hunter  February 2013
build	18-Sep-2019 23:19:12	+#
build	18-Sep-2019 23:19:12	+# To test:  see plotbandpass_regression.py
build	18-Sep-2019 23:19:12	+#
build	18-Sep-2019 23:19:12	+PLOTBANDPASS_REVISION_STRING = "$Id: task_plotbandpass.py,v 1.102 2018/01/21 14:45:41 thunter Exp $" 
build	18-Sep-2019 23:19:12	+import pylab as pb
build	18-Sep-2019 23:19:12	+import math, os, sys, re
build	18-Sep-2019 23:19:12	+import time as timeUtilities
build	18-Sep-2019 23:19:12	+import numpy as np
build	18-Sep-2019 23:19:12	+import re  # used for testing if a string is a float
build	18-Sep-2019 23:19:12	+from matplotlib.ticker import MultipleLocator, FormatStrFormatter, ScalarFormatter
build	18-Sep-2019 23:19:12	+import matplotlib.transforms
build	18-Sep-2019 23:19:12	+import inspect
build	18-Sep-2019 23:19:12	+from casatasks.private.casa_transition import *
build	18-Sep-2019 23:19:12	+if is_CASA6:
build	18-Sep-2019 23:19:12	+    from casatools import table as tbtool
build	18-Sep-2019 23:19:12	+    from casatools import msmetadata as msmdtool
build	18-Sep-2019 23:19:12	+    from casatools import atmosphere as attool
build	18-Sep-2019 23:19:12	+    from casatools import quanta as qatool
build	18-Sep-2019 23:19:12	+    from casatools import measures as metool
build	18-Sep-2019 23:19:12	+    from casatools import ms as mstool
build	18-Sep-2019 23:19:12	+else:
build	18-Sep-2019 23:19:12	+    from taskinit import * # necessary for tb.open() to work
build	18-Sep-2019 23:19:12	+    if (type(casac.Quantity) != type):  # casa 4.x
build	18-Sep-2019 23:19:12	+        attool = casac.atmosphere
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+TOP_MARGIN  = 0.25   # Used if showatm=T or showtksy=T
build	18-Sep-2019 23:19:12	+BOTTOM_MARGIN = 0.25 # Used if showfdm=T
build	18-Sep-2019 23:19:12	+MAX_ATM_CALC_CHANNELS = 512
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+markeredgewidth=0.0
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+# This is a color sequence found online which has distinguishable colors
build	18-Sep-2019 23:19:12	+overlayColors = [
build	18-Sep-2019 23:19:12	+      [0.00,  0.00,  0.00],
build	18-Sep-2019 23:19:12	+      [0.00,  0.00,  1.00],
build	18-Sep-2019 23:19:12	+      [0.00,  0.50,  0.00],
build	18-Sep-2019 23:19:12	+      [1.00,  0.00,  0.00],
build	18-Sep-2019 23:19:12	+      [0.00,  0.75,  0.75],
build	18-Sep-2019 23:19:12	+#      [0.75,  0.00,  0.75], # magenta, same as atmcolor
build	18-Sep-2019 23:19:12	+      [0.25,  0.25,  0.25],
build	18-Sep-2019 23:19:12	+      [0.75,  0.25,  0.25],
build	18-Sep-2019 23:19:12	+      [0.95,  0.95,  0.00],
build	18-Sep-2019 23:19:12	+      [0.25,  0.25,  0.75],
build	18-Sep-2019 23:19:12	+#      [0.75,  0.75,  0.75],  this color is invisible for some reason
build	18-Sep-2019 23:19:12	+      [0.00,  1.00,  0.00],
build	18-Sep-2019 23:19:12	+      [0.76,  0.57,  0.17],
build	18-Sep-2019 23:19:12	+      [0.54,  0.63,  0.22],
build	18-Sep-2019 23:19:12	+      [0.34,  0.57,  0.92],
build	18-Sep-2019 23:19:12	+      [1.00,  0.10,  0.60],
build	18-Sep-2019 23:19:12	+#      [0.88,  0.75,  0.73],  invisible
build	18-Sep-2019 23:19:12	+      [0.10,  0.49,  0.47],
build	18-Sep-2019 23:19:12	+      [0.66,  0.34,  0.65],
build	18-Sep-2019 23:19:12	+      [0.99,  0.41,  0.23]]
build	18-Sep-2019 23:19:12	+overlayColors += overlayColors + overlayColors  # 17*3 = 51 total colors
build	18-Sep-2019 23:19:12	+overlayColors += overlayColors + overlayColors # try to support antenna,time
build	18-Sep-2019 23:19:12	+overlayColors += overlayColors + overlayColors # try to support antenna,time
build	18-Sep-2019 23:19:12	+overlayColors += overlayColors + overlayColors # try to support antenna,time
build	18-Sep-2019 23:19:12	+overlayColors += overlayColors + overlayColors # try to support antenna,time
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+# Enumeration to keep track of plot pages
build	18-Sep-2019 23:19:12	+PAGE_ANT = 0
build	18-Sep-2019 23:19:12	+PAGE_SPW = 1
build	18-Sep-2019 23:19:12	+PAGE_TIME = 2
build	18-Sep-2019 23:19:12	+PAGE_AP = 3
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+# Used to parse command line arguments
build	18-Sep-2019 23:19:12	+myValidCharacterList = ['~', ',', ' ', '*',] + [str(m) for m in range(10)]
build	18-Sep-2019 23:19:12	+myValidCharacterListWithBang = ['~', ',', ' ', '*', '!',] + [str(m) for m in range(10)]
build	18-Sep-2019 23:19:12	+LARGE_POSITIVE = +1e20
build	18-Sep-2019 23:19:12	+LARGE_NEGATIVE = -1e20
build	18-Sep-2019 23:19:12	+maxAntennaNamesAcrossTheTop = 17
build	18-Sep-2019 23:19:12	+maxTimesAcrossTheTop = 13 # 17 for HH:MM, reduced by 1 below for subplot=11
build	18-Sep-2019 23:19:12	+antennaVerticalSpacing = 0.018 # 0.016
build	18-Sep-2019 23:19:12	+antennaHorizontalSpacing = 0.05
build	18-Sep-2019 23:19:12	+xstartTitle = 0.07
build	18-Sep-2019 23:19:12	+ystartTitle = 0.955
build	18-Sep-2019 23:19:12	+xstartPolLabel = 0.05
build	18-Sep-2019 23:19:12	+ystartOverlayLegend = 0.933
build	18-Sep-2019 23:19:12	+opaqueSky = 270. # Kelvin, used for scaling TebbSky
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+developerEmail = "thunter@nrao.edu"
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+#class Polarization:
build	18-Sep-2019 23:19:12	+    # taken from Stokes.h in casa, for reference only
build	18-Sep-2019 23:19:12	+#    (Undefined, I,Q,U,V,RR,RL,LR,LL,XX,XY,YX,YY) = range(13)  
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def version(showfile=True):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    Returns the CVS revision number.
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    myversion = "$Id: task_plotbandpass.py,v 1.102 2018/01/21 14:45:41 thunter Exp $" 
build	18-Sep-2019 23:19:12	+    if (showfile):
build	18-Sep-2019 23:19:12	+        print("Loaded from %s" % (__file__))
build	18-Sep-2019 23:19:12	+    return myversion
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def refTypeToString(rtype):
build	18-Sep-2019 23:19:12	+    rtypes = ['REST','LSRK','LSRD','BARY','GEO','TOPO','GALACTO','LGROUP','CMB']
build	18-Sep-2019 23:19:12	+    return(rtypes[rtype])
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def corrTypeToString(ptype):
build	18-Sep-2019 23:19:12	+    ptypes = ['Undefined','I','Q','U','V','RR','RL','LR','LL','XX','XY','YX','YY']
build	18-Sep-2019 23:19:12	+    mystring = ptypes[ptype]
build	18-Sep-2019 23:19:12	+#    print("mystring = %s" % (mystring))
build	18-Sep-2019 23:19:12	+    return(mystring)
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+def buildAntString(antID,msFound,msAnt):
build	18-Sep-2019 23:19:12	+    if (msFound):
build	18-Sep-2019 23:19:12	+        antstring = msAnt[antID]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        antstring = '%02d' % (antID)
build	18-Sep-2019 23:19:12	+    if (antstring.isdigit()):
build	18-Sep-2019 23:19:12	+        Antstring = "Ant %s" % antstring
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        Antstring = antstring
build	18-Sep-2019 23:19:12	+    return(antstring, Antstring)
build	18-Sep-2019 23:19:12	+      
build	18-Sep-2019 23:19:12	+def makeplot(figfile,msFound,msAnt,overlayAntennas,pages,pagectr,density,
build	18-Sep-2019 23:19:12	+             interactive,antennasToPlot,spwsToPlot,overlayTimes,overlayBasebands,
build	18-Sep-2019 23:19:12	+             locationCalledFrom, xant, ispw, subplot, resample='1', 
build	18-Sep-2019 23:19:12	+             debug=False,
build	18-Sep-2019 23:19:12	+             figfileSequential=False, figfileNumber=0):
build	18-Sep-2019 23:19:12	+    if (type(figfile) == str):
build	18-Sep-2019 23:19:12	+        if (figfile.find('/')>=0):
build	18-Sep-2019 23:19:12	+            directories = figfile.split('/')
build	18-Sep-2019 23:19:12	+            directory = ''
build	18-Sep-2019 23:19:12	+            for d in range(len(directories)-1):
build	18-Sep-2019 23:19:12	+                directory += directories[d] + '/'
build	18-Sep-2019 23:19:12	+            if (os.path.exists(directory)==False):
build	18-Sep-2019 23:19:12	+                casalogPost(debug,"Making directory = %s" % (directory))
build	18-Sep-2019 23:19:12	+                os.system("mkdir -p %s" % directory)
build	18-Sep-2019 23:19:12	+    if (debug):
build	18-Sep-2019 23:19:12	+        print("makeplot(%d): pagectr=%d, len(pages)=%d, len(spwsToPlot)=%d, pages=" % (locationCalledFrom,
build	18-Sep-2019 23:19:12	+                                                              pagectr, len(pages),len(spwsToPlot)), pages)
build	18-Sep-2019 23:19:12	+    if (pages[pagectr][PAGE_SPW] >= len(spwsToPlot)):
build	18-Sep-2019 23:19:12	+        # necessary for test86: overlay='spw' of spectral scan dataset.  to avoid indexing beyond the
build	18-Sep-2019 23:19:12	+        # end of the array in the the case that the final frame is of a baseband with n spw, and
build	18-Sep-2019 23:19:12	+        # earlier frames had >n spws   2014-04-08
build	18-Sep-2019 23:19:12	+        ispw = spwsToPlot[-1]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+      # CAS-8285: Added 'if' to be sure to use ispw passed in for single-panel plots, but 
build	18-Sep-2019 23:19:12	+      # use the original behavior for multi-panel plots simply to preserve the pngfile
build	18-Sep-2019 23:19:12	+      # naming scheme (i.e. including the spw name of lower right panel) to match old 
build	18-Sep-2019 23:19:12	+      # regressions.  Should probably remove this whole 'else' block someday, if I don't 
build	18-Sep-2019 23:19:12	+      # mind if future multi-panel filenames contain spw name of upper left panel.
build	18-Sep-2019 23:19:12	+        if (subplot != 11 or overlayBasebands):  # Add only this line for CAS-8285.
build	18-Sep-2019 23:19:12	+            ispw = spwsToPlot[pages[pagectr][PAGE_SPW]]
build	18-Sep-2019 23:19:12	+    t = pages[pagectr][PAGE_TIME] # + 1
build	18-Sep-2019 23:19:12	+    if (subplot == 11):
build	18-Sep-2019 23:19:12	+        antstring, Antstring = buildAntString(xant, msFound, msAnt)  # CAS-8285
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        antstring, Antstring = buildAntString(antennasToPlot[pages[pagectr][PAGE_ANT]], msFound, msAnt)
build	18-Sep-2019 23:19:12	+    figfile = figfile.split('.png')[0]
build	18-Sep-2019 23:19:12	+    if (figfileSequential):
build	18-Sep-2019 23:19:12	+        plotfilename = figfile + '.%03d' % (figfileNumber)
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (msFound):
build	18-Sep-2019 23:19:12	+            if (overlayAntennas and overlayTimes):
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.spw%02d'%(ispw)
build	18-Sep-2019 23:19:12	+            elif (overlayAntennas):
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.spw%02d'%(ispw)+'.t%02d'%(t)
build	18-Sep-2019 23:19:12	+            elif (overlayTimes):
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.'+antstring+'.spw%02d'%(ispw)
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.'+antstring+'.spw%02d'%(ispw)+'.t%02d'%(t)
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            if (overlayAntennas and overlayTimes):
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.spw%02d'%(ispw)
build	18-Sep-2019 23:19:12	+            elif (overlayAntennas):
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.spw%02d'%(ispw)+'.t%02d'%(t)
build	18-Sep-2019 23:19:12	+            elif (overlayTimes):
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.ant'+antstring+'.spw%02d'%(ispw)
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                plotfilename = figfile+'.ant'+antstring+'.spw%02d'%(ispw)+'.t%02d'%(t)
build	18-Sep-2019 23:19:12	+    if (int(resample) > 1):
build	18-Sep-2019 23:19:12	+        plotfilename += '.resample%d.png' % (int(resample))
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        plotfilename += '.png'
build	18-Sep-2019 23:19:12	+    if (interactive == False or True):
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Building %s" % (plotfilename))
build	18-Sep-2019 23:19:12	+#        print("Building %s" % (plotfilename))
build	18-Sep-2019 23:19:12	+    pb.savefig(plotfilename, format='png', dpi=density)
build	18-Sep-2019 23:19:12	+    return(plotfilename)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def utdatestring(mjdsec):
build	18-Sep-2019 23:19:12	+    (mjd, dateTimeString) = mjdSecondsToMJDandUT(mjdsec)
build	18-Sep-2019 23:19:12	+    tokens = dateTimeString.split()
build	18-Sep-2019 23:19:12	+    return(tokens[0])
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def mjdsecArrayToUTString(timerangeListTimes):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    accepts [4866334935, 4866335281] etc.
build	18-Sep-2019 23:19:12	+    returns '08:04:10, 09:03:00' etc.
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    timerangeListTimesString = ''  
build	18-Sep-2019 23:19:12	+    for t in timerangeListTimes:
build	18-Sep-2019 23:19:12	+        timerangeListTimesString += utstring(t,3) + ' '
build	18-Sep-2019 23:19:12	+    return(timerangeListTimesString)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def utstring(mjdsec, xframeStart=110):
build	18-Sep-2019 23:19:12	+    (mjd, dateTimeString) = mjdSecondsToMJDandUT(mjdsec)
build	18-Sep-2019 23:19:12	+    tokens = dateTimeString.split()
build	18-Sep-2019 23:19:12	+    hoursMinutes = tokens[1][0:len(tokens[1])-3]
build	18-Sep-2019 23:19:12	+    hoursMinutesSeconds = tokens[1][0:len(tokens[1])]
build	18-Sep-2019 23:19:12	+    if (xframeStart == 110):  # 2011-01-01 UT 00:00
build	18-Sep-2019 23:19:12	+        return(tokens[0]+' '+tokens[2]+' '+hoursMinutes)
build	18-Sep-2019 23:19:12	+    elif (xframeStart == 3):
build	18-Sep-2019 23:19:12	+        return(hoursMinutesSeconds)
build	18-Sep-2019 23:19:12	+    else:  # 00:00
build	18-Sep-2019 23:19:12	+        return(hoursMinutes)
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+def openBpolyFile(caltable, debug):
build	18-Sep-2019 23:19:12	+   mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:12	+   mytb.open(caltable)
build	18-Sep-2019 23:19:12	+   desc = mytb.getdesc()
build	18-Sep-2019 23:19:12	+   if ('POLY_MODE' in desc):
build	18-Sep-2019 23:19:12	+      polyMode = mytb.getcol('POLY_MODE')
build	18-Sep-2019 23:19:12	+      casalogPost(debug,"This is a BPOLY solution = %s" % (polyMode[0]))
build	18-Sep-2019 23:19:12	+      polyType = mytb.getcol('POLY_TYPE')
build	18-Sep-2019 23:19:12	+      scaleFactor = mytb.getcol('SCALE_FACTOR')
build	18-Sep-2019 23:19:12	+      antenna1 = mytb.getcol('ANTENNA1')
build	18-Sep-2019 23:19:12	+      times = mytb.getcol('TIME')
build	18-Sep-2019 23:19:12	+      cal_desc_id = mytb.getcol('CAL_DESC_ID')
build	18-Sep-2019 23:19:12	+      nRows = len(polyType)
build	18-Sep-2019 23:19:12	+      for pType in polyType:
build	18-Sep-2019 23:19:12	+          if (pType != 'CHEBYSHEV'):
build	18-Sep-2019 23:19:12	+              casalogPost(debug,"I do not recognized polynomial type = %s" % (pType))
build	18-Sep-2019 23:19:12	+              return
build	18-Sep-2019 23:19:12	+      # Here we assume that all spws have been solved with the same mode
build	18-Sep-2019 23:19:12	+      uniqueTimesBP = np.unique(mytb.getcol('TIME'))
build	18-Sep-2019 23:19:12	+      nUniqueTimesBP = len(uniqueTimesBP)
build	18-Sep-2019 23:19:12	+      mystring = "There are %d unique times in the BPOLY solution: " % (nUniqueTimesBP)
build	18-Sep-2019 23:19:12	+      for u in uniqueTimesBP:
build	18-Sep-2019 23:19:12	+          mystring += '%.3f, ' % (u)
build	18-Sep-2019 23:19:12	+      casalogPost(debug,mystring)
build	18-Sep-2019 23:19:12	+      if (nUniqueTimesBP == 2):
build	18-Sep-2019 23:19:12	+          casalogPost(debug,"differing by %g seconds" % (uniqueTimesBP[1]-uniqueTimesBP[0]))
build	18-Sep-2019 23:19:12	+      nPolyAmp = mytb.getcol('N_POLY_AMP')
build	18-Sep-2019 23:19:12	+      nPolyPhase = mytb.getcol('N_POLY_PHASE')
build	18-Sep-2019 23:19:12	+      frequencyLimits = mytb.getcol('VALID_DOMAIN')
build	18-Sep-2019 23:19:12	+      increments = 0.001*(frequencyLimits[1,:]-frequencyLimits[0,:])
build	18-Sep-2019 23:19:12	+      frequenciesGHz = []
build	18-Sep-2019 23:19:12	+      for i in range(len(increments)):
build	18-Sep-2019 23:19:12	+         freqs = (1e-9)*np.arange(frequencyLimits[0,i],frequencyLimits[1,i],increments[i])
build	18-Sep-2019 23:19:12	+         frequenciesGHz.append(freqs)
build	18-Sep-2019 23:19:12	+      polynomialAmplitude = []
build	18-Sep-2019 23:19:12	+      polynomialPhase = []
build	18-Sep-2019 23:19:12	+      for i in range(len(polyMode)):
build	18-Sep-2019 23:19:12	+          polynomialAmplitude.append([1])
build	18-Sep-2019 23:19:12	+          polynomialPhase.append([0])
build	18-Sep-2019 23:19:12	+          if (polyMode[i] == 'A&P' or polyMode[i] == 'A'):
build	18-Sep-2019 23:19:12	+              polynomialAmplitude[i]  = mytb.getcell('POLY_COEFF_AMP',i)[0][0][0]
build	18-Sep-2019 23:19:12	+          if (polyMode[i] == 'A&P' or polyMode[i] == 'P'):
build	18-Sep-2019 23:19:12	+              polynomialPhase[i] = mytb.getcell('POLY_COEFF_PHASE',i)[0][0][0]
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+      mytb.close()
build	18-Sep-2019 23:19:12	+      mytb.open(caltable+'/CAL_DESC')
build	18-Sep-2019 23:19:12	+      nSpws = len(mytb.getcol('NUM_SPW'))
build	18-Sep-2019 23:19:12	+      spws = mytb.getcol('SPECTRAL_WINDOW_ID')
build	18-Sep-2019 23:19:12	+      spwBP = []
build	18-Sep-2019 23:19:12	+      for c in cal_desc_id:
build	18-Sep-2019 23:19:12	+          spwBP.append(spws[0][c])
build	18-Sep-2019 23:19:12	+      mytb.done()
build	18-Sep-2019 23:19:12	+      return([polyMode, polyType, nPolyAmp, nPolyPhase, scaleFactor, nRows, nSpws, nUniqueTimesBP,
build	18-Sep-2019 23:19:12	+              uniqueTimesBP, frequencyLimits, increments, frequenciesGHz,
build	18-Sep-2019 23:19:12	+              polynomialPhase, polynomialAmplitude, times, antenna1, cal_desc_id, spwBP])
build	18-Sep-2019 23:19:12	+   else:
build	18-Sep-2019 23:19:12	+      mytb.done()
build	18-Sep-2019 23:19:12	+      return([])
build	18-Sep-2019 23:19:12	+   # end of openBpolyFile()
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def displayTimesArray(uniqueTimesPerFieldPerSpw):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    Builds a string from an array of MJD second timestamps as UT timestamps
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    legendString = ''
build	18-Sep-2019 23:19:12	+    for s in uniqueTimesPerFieldPerSpw:
build	18-Sep-2019 23:19:12	+        legendString += "["
build	18-Sep-2019 23:19:12	+        for f in s:
build	18-Sep-2019 23:19:12	+            legendString += "["
build	18-Sep-2019 23:19:12	+            for t in f:
build	18-Sep-2019 23:19:12	+                legendString += "%s" % utstring(t,2)
build	18-Sep-2019 23:19:12	+                if (t != f[-1]):
build	18-Sep-2019 23:19:12	+                    legendString += ", "
build	18-Sep-2019 23:19:12	+            legendString += "]"
build	18-Sep-2019 23:19:12	+            if (f != s[-1]):
build	18-Sep-2019 23:19:12	+                legendString += ', '
build	18-Sep-2019 23:19:12	+        legendString += "], "
build	18-Sep-2019 23:19:12	+        if (s != uniqueTimesPerFieldPerSpw[-1]):
build	18-Sep-2019 23:19:12	+            legendString += ', '
build	18-Sep-2019 23:19:12	+    return(legendString)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def checkPolsToPlot(polsToPlot, corr_type_string, debug):
build	18-Sep-2019 23:19:12	+    firstFailure = 0
build	18-Sep-2019 23:19:12	+    for pol in polsToPlot:
build	18-Sep-2019 23:19:12	+        if ((pol in corr_type_string) == False):
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Polarization product %s is not in the ms" % (pol))
build	18-Sep-2019 23:19:12	+            firstFailure += 1
build	18-Sep-2019 23:19:12	+            if (pol in ['XX','YY']):
build	18-Sep-2019 23:19:12	+                polsToPlot = ['RR','LL']
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                polsToPlot = ['XX','YY']
build	18-Sep-2019 23:19:12	+            break
build	18-Sep-2019 23:19:12	+    if (firstFailure>0):
build	18-Sep-2019 23:19:12	+       casalogPost(debug,"Looking for instead: %s" % (str(polsToPlot)))
build	18-Sep-2019 23:19:12	+       for pol in polsToPlot:
build	18-Sep-2019 23:19:12	+          if ((pol in corr_type_string) == False):
build	18-Sep-2019 23:19:12	+              casalogPost(debug,"Polarization product %s is not in the ms" % (pol))
build	18-Sep-2019 23:19:12	+              firstFailure += 1
build	18-Sep-2019 23:19:12	+              if (pol in ['XX']):
build	18-Sep-2019 23:19:12	+                  polsToPlot = ['YY']
build	18-Sep-2019 23:19:12	+              elif (pol in ['YY']):
build	18-Sep-2019 23:19:12	+                  polsToPlot = ['XX']
build	18-Sep-2019 23:19:12	+              elif (pol in ['RR']):
build	18-Sep-2019 23:19:12	+                  polsToPlot = ['LL']
build	18-Sep-2019 23:19:12	+              elif (pol in ['LL']):
build	18-Sep-2019 23:19:12	+                  polsToPlot = ['RR']
build	18-Sep-2019 23:19:12	+              break
build	18-Sep-2019 23:19:12	+    if (firstFailure > 1):
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Looking for instead: %s" % (str(polsToPlot)))
build	18-Sep-2019 23:19:12	+        for pol in polsToPlot:
build	18-Sep-2019 23:19:12	+            if ((pol in corr_type_string) == False):
build	18-Sep-2019 23:19:12	+                casalogPost(debug,"Polarization product %s is not in the ms" % (pol))
build	18-Sep-2019 23:19:12	+                return([])
build	18-Sep-2019 23:19:12	+    return(polsToPlot)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def getCorrType(msName, spwsToPlot, mymsmd, debug=False):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    Open the DATA_DESCRIPTION_ID table.  Find the polarization_id of the first
build	18-Sep-2019 23:19:12	+    spw in the list of spwsToPlot, then read the CORR_TYPE from the POLARIZATION
build	18-Sep-2019 23:19:12	+    table.
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:12	+    mytb.open(msName+'/DATA_DESCRIPTION')
build	18-Sep-2019 23:19:12	+    spws = mytb.getcol('SPECTRAL_WINDOW_ID')
build	18-Sep-2019 23:19:12	+    polarization_id = mytb.getcol('POLARIZATION_ID')
build	18-Sep-2019 23:19:12	+    mytb.close()
build	18-Sep-2019 23:19:12	+    pol_id = 0
build	18-Sep-2019 23:19:12	+    telescopeName = mymsmd.observatorynames()[0]
build	18-Sep-2019 23:19:12	+    mytb.open(msName+'/POLARIZATION')
build	18-Sep-2019 23:19:12	+    for myspw in spwsToPlot:
build	18-Sep-2019 23:19:12	+#        print("looking for %d in %s" % (myspw, str(spws)))
build	18-Sep-2019 23:19:12	+        row = list(spws).index(myspw)
build	18-Sep-2019 23:19:12	+        if (row >= 0):
build	18-Sep-2019 23:19:12	+            pol_id = polarization_id[row]
build	18-Sep-2019 23:19:12	+            corr_type = mytb.getcell('CORR_TYPE',pol_id)
build	18-Sep-2019 23:19:12	+            if (corr_type[0] >= 5 or (telescopeName.find('ALMA')<0 and telescopeName.find('VLA')<0)):
build	18-Sep-2019 23:19:12	+                # Undefined, I, Q, U, V, which ALMA and VLA never use
build	18-Sep-2019 23:19:12	+                # Need to allow non-VLA, non-ALMA to stop here
build	18-Sep-2019 23:19:12	+                break
build	18-Sep-2019 23:19:12	+    mytb.close()
build	18-Sep-2019 23:19:12	+    corr_type_string = []
build	18-Sep-2019 23:19:12	+    if (len(corr_type) == 4):
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"This is a 4-polarization dataset.")
build	18-Sep-2019 23:19:12	+        if (corr_type[0] in [5,6,7,8]):
build	18-Sep-2019 23:19:12	+            corr_type = [5,8]
build	18-Sep-2019 23:19:12	+        elif (corr_type[0] in [9,10,11,12]):
build	18-Sep-2019 23:19:12	+            corr_type = [9,12]
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            print("Unsupported polarization types = ", corr_type)
build	18-Sep-2019 23:19:12	+            return(corr_type, corr_type_string)
build	18-Sep-2019 23:19:12	+    # This overrides the len(gain_table) because it can have length=2 even when only 1 pol present
build	18-Sep-2019 23:19:12	+    nPolarizations = len(corr_type)
build	18-Sep-2019 23:19:12	+    for ct in corr_type:
build	18-Sep-2019 23:19:12	+        corr_type_string.append(corrTypeToString(ct))
build	18-Sep-2019 23:19:12	+    if (debug):
build	18-Sep-2019 23:19:12	+        print("corr_types = ", corr_type,  " = ", corr_type_string)
build	18-Sep-2019 23:19:12	+    return(corr_type, corr_type_string, nPolarizations)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def writeArgument(f,name,arg):
build	18-Sep-2019 23:19:12	+    if (type(arg) == str):
build	18-Sep-2019 23:19:12	+        s = "%-18s = '%s'" % (name,arg)
build	18-Sep-2019 23:19:12	+        t = "%s='%s'" % (name,arg)
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        s = "%-18s = %s" % (name,str(arg))
build	18-Sep-2019 23:19:12	+        t = "%s=%s" % (name,arg)
build	18-Sep-2019 23:19:12	+    f.write(s+'\n')
build	18-Sep-2019 23:19:12	+    return(t)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def channelDifferences(y, x, resample=1):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    Takes a vector, and computes the channel-to-channel derivative.
build	18-Sep-2019 23:19:12	+    Optionally, it will also resample the data and compute the
build	18-Sep-2019 23:19:12	+    derivative.
build	18-Sep-2019 23:19:12	+    - Todd Hunter
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    x = np.array(x)
build	18-Sep-2019 23:19:12	+    y = np.array(y)
build	18-Sep-2019 23:19:12	+    if (len(x) > 1):
build	18-Sep-2019 23:19:12	+        channelWidth = x[1]-x[0]
build	18-Sep-2019 23:19:12	+        d = (np.diff(y)/np.diff(x))
build	18-Sep-2019 23:19:12	+        newy = d*channelWidth 
build	18-Sep-2019 23:19:12	+        newx = (x[1:]+x[:-1])/2.  # midpoints of input x-axis
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        newx = x
build	18-Sep-2019 23:19:12	+        newy = y
build	18-Sep-2019 23:19:12	+    if (resample > 1):
build	18-Sep-2019 23:19:12	+        x,y = resampleSolution(x,y,resample)
build	18-Sep-2019 23:19:12	+        if (len(x) > 1):
build	18-Sep-2019 23:19:12	+            channelWidth = x[1]-x[0]
build	18-Sep-2019 23:19:12	+            d = (np.diff(y)/np.diff(x))
build	18-Sep-2019 23:19:12	+            resy = d*channelWidth 
build	18-Sep-2019 23:19:12	+            resx = (x[1:]+x[:-1])/2.  # midpoints of input x-axis
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            resx = x
build	18-Sep-2019 23:19:12	+            resy = y
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        resy = newy
build	18-Sep-2019 23:19:12	+        resx = newx
build	18-Sep-2019 23:19:12	+    return(newy, newx, resy, resx)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def getDataColumnName(inputMs, debug):
build	18-Sep-2019 23:19:12	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:12	+    mytb.open(inputMs)
build	18-Sep-2019 23:19:12	+    colnames = mytb.colnames()
build	18-Sep-2019 23:19:12	+    correctedDataColumnName = ''
build	18-Sep-2019 23:19:12	+    modelDataColumnName = ''
build	18-Sep-2019 23:19:12	+    if 'FLOAT_DATA' in colnames:
build	18-Sep-2019 23:19:12	+        dataColumnName = 'FLOAT_DATA'
build	18-Sep-2019 23:19:12	+        correctedDataColumnName = 'FLOAT_DATA'
build	18-Sep-2019 23:19:12	+    elif 'DATA' in colnames:
build	18-Sep-2019 23:19:12	+        dataColumnName = 'DATA'
build	18-Sep-2019 23:19:12	+    if 'CORRECTED_DATA' in colnames:
build	18-Sep-2019 23:19:12	+        correctedDataColumnName = 'CORRECTED_DATA'
build	18-Sep-2019 23:19:12	+    if 'MODEL_DATA' in colnames:
build	18-Sep-2019 23:19:12	+        modelDataColumnName = 'MODEL_DATA'
build	18-Sep-2019 23:19:12	+    mytb.done()
build	18-Sep-2019 23:19:12	+    return(dataColumnName)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def doPolarizations(mymsmd, inputMs, debug=False) :
build	18-Sep-2019 23:19:12	+    # This function is obsolete. There may be no OBSERVE_TARGET intents in a dataset!
build	18-Sep-2019 23:19:12	+    # Determine the number of polarizations for the first OBSERVE_TARGET intent.
build	18-Sep-2019 23:19:12	+    # Used by plotbandpass for BPOLY plots since the number of pols cannot be inferred
build	18-Sep-2019 23:19:12	+    # correctly from the caltable alone.  You cannot not simply use the first row, because
build	18-Sep-2019 23:19:12	+    # it may be a pointing scan which may have different number of polarizations than what
build	18-Sep-2019 23:19:12	+    # the TARGET and BANDPASS calibrator will have.
build	18-Sep-2019 23:19:12	+    # -- T. Hunter
build	18-Sep-2019 23:19:12	+    if (debug): print("doPolarizations()")
build	18-Sep-2019 23:19:12	+    myscan = -1
build	18-Sep-2019 23:19:12	+    starttime = timeUtilities.time()
build	18-Sep-2019 23:19:12	+    for s in range(1,mymsmd.nscans()+1):
build	18-Sep-2019 23:19:12	+        if (debug): print("s = %s" % (str(s)))
build	18-Sep-2019 23:19:12	+        intents = mymsmd.intentsforscan(s)
build	18-Sep-2019 23:19:12	+        for i in intents:
build	18-Sep-2019 23:19:12	+            if (i.find('OBSERVE_TARGET')>=0):
build	18-Sep-2019 23:19:12	+                myscan = s
build	18-Sep-2019 23:19:12	+#                print("First OBSERVE_TARGET scan = %s" % (str(myscan)))
build	18-Sep-2019 23:19:12	+                break
build	18-Sep-2019 23:19:12	+        if (myscan >= 0):
build	18-Sep-2019 23:19:12	+            break
build	18-Sep-2019 23:19:12	+    if (myscan == -1):
build	18-Sep-2019 23:19:12	+        # if there is no OBSERVE_TARGET, then just use the first scan
build	18-Sep-2019 23:19:12	+        myscan = 0
build	18-Sep-2019 23:19:12	+    dataColumnName = getDataColumnName(inputMs,debug)
build	18-Sep-2019 23:19:12	+    if (debug): print("dataColumnName = %s" % (dataColumnName))
build	18-Sep-2019 23:19:12	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:12	+    mytb.open("%s" % inputMs)
build	18-Sep-2019 23:19:12	+    if (myscan == 0):
build	18-Sep-2019 23:19:12	+        # assume the first row in the table is for the first scan, to save time
build	18-Sep-2019 23:19:12	+        nPolarizations = np.shape(mytb.getcell(dataColumnName,0))[0]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        scans = mytb.getcol('SCAN_NUMBER')
build	18-Sep-2019 23:19:12	+        nPolarizations = 0
build	18-Sep-2019 23:19:12	+        for s in range(len(scans)):
build	18-Sep-2019 23:19:12	+            if (scans[s]==myscan):
build	18-Sep-2019 23:19:12	+                nPolarizations = np.shape(mytb.getcell(dataColumnName,s))[0]
build	18-Sep-2019 23:19:12	+                break
build	18-Sep-2019 23:19:12	+    mytb.close()
build	18-Sep-2019 23:19:12	+    donetime = timeUtilities.time()
build	18-Sep-2019 23:19:12	+    return(nPolarizations)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def getnspw(mymsmd):
build	18-Sep-2019 23:19:12	+#    if (casadef.subversion_revision > '22653'):
build	18-Sep-2019 23:19:12	+        return(mymsmd.nspw(False))
build	18-Sep-2019 23:19:12	+#    else:
build	18-Sep-2019 23:19:12	+#        return(mymsmd.nspw())
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def drawOverlayTimeLegends(xframe,firstFrame,xstartTitle,ystartTitle,caltable,titlesize,
build	18-Sep-2019 23:19:12	+                           fieldIndicesToPlot,ispwInCalTable,uniqueTimesPerFieldPerSpw,
build	18-Sep-2019 23:19:12	+                           timerangeListTimes, solutionTimeThresholdSeconds,debugSloppyMatch,
build	18-Sep-2019 23:19:12	+                           ystartOverlayLegend,debug,mysize, fieldsToPlot,myUniqueColor,
build	18-Sep-2019 23:19:12	+                           timeHorizontalSpacing, fieldIndex,overlayColors,
build	18-Sep-2019 23:19:12	+                           antennaVerticalSpacing, overlayAntennas, 
build	18-Sep-2019 23:19:12	+                           timerangeList, caltableTitle,
build	18-Sep-2019 23:19:12	+                           mytime, scansToPlot, scansForUniqueTimes):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    Draws the legend at the top of the page, if it is the correct time to do so,
build	18-Sep-2019 23:19:12	+    including the overlayTimes, the 'UT' label, and the caltable name.
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+#    debugSloppyMatch=True
build	18-Sep-2019 23:19:12	+    if (xframe == firstFrame):
build	18-Sep-2019 23:19:12	+        # draw title including caltable name
build	18-Sep-2019 23:19:12	+        pb.text(xstartTitle, ystartTitle, caltableTitle, size=titlesize,
build	18-Sep-2019 23:19:12	+                color='k', transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+        # support multi-fields with overlay='time'
build	18-Sep-2019 23:19:12	+        uTPFPS = []
build	18-Sep-2019 23:19:12	+        uTPFPStimerange = []
build	18-Sep-2019 23:19:12	+        # Find all timerange integers for all fields, not just the ones that were plotted
build	18-Sep-2019 23:19:12	+        allTimeranges = []
build	18-Sep-2019 23:19:12	+        for f in range(len(uniqueTimesPerFieldPerSpw[ispwInCalTable])):
build	18-Sep-2019 23:19:12	+            for t in uniqueTimesPerFieldPerSpw[ispwInCalTable][f]:
build	18-Sep-2019 23:19:12	+                if (t in timerangeListTimes):
build	18-Sep-2019 23:19:12	+                    allTimeranges.append(list(timerangeListTimes).index(t))
build	18-Sep-2019 23:19:12	+        for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:12	+            for t in uniqueTimesPerFieldPerSpw[ispwInCalTable][f]:
build	18-Sep-2019 23:19:12	+                matched, mymatch = sloppyMatch(t, timerangeListTimes, solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                               myprint=debugSloppyMatch, whichone=True)
build	18-Sep-2019 23:19:12	+                if (matched):
build	18-Sep-2019 23:19:12	+                    uTPFPS.append(t)
build	18-Sep-2019 23:19:12	+                    uTPFPStimerange.append(mymatch)
build	18-Sep-2019 23:19:12	+        allTimeranges = list(np.sort(np.unique(allTimeranges)))
build	18-Sep-2019 23:19:12	+        idx = np.argsort(uTPFPS)
build	18-Sep-2019 23:19:12	+        uTPFPStimerange = np.array(uTPFPStimerange)[idx]
build	18-Sep-2019 23:19:12	+        uTPFPS = np.sort(uTPFPS)
build	18-Sep-2019 23:19:12	+        timeFormat = 3  # HH:MM:SS  
build	18-Sep-2019 23:19:12	+        maxTimesAcross = maxTimesAcrossTheTop
build	18-Sep-2019 23:19:12	+        if (firstFrame == 111):
build	18-Sep-2019 23:19:12	+            maxTimesAcross -= 2
build	18-Sep-2019 23:19:12	+        for a in range(len(uTPFPS)):
build	18-Sep-2019 23:19:12	+            legendString = utstring(uTPFPS[a],timeFormat)
build	18-Sep-2019 23:19:12	+            if (debug): print("----> Defined legendString: %s" % (legendString))
build	18-Sep-2019 23:19:12	+            if (a==0):
build	18-Sep-2019 23:19:12	+                pb.text(xstartTitle-0.03, ystartOverlayLegend, 'UT',color='k',fontsize=mysize,
build	18-Sep-2019 23:19:12	+                        transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+            if (a < maxTimesAcross):
build	18-Sep-2019 23:19:12	+                x0 = xstartTitle + (a*timeHorizontalSpacing)
build	18-Sep-2019 23:19:12	+                y0 = ystartOverlayLegend
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                # start going down the righthand side
build	18-Sep-2019 23:19:12	+                x0 = xstartTitle + (maxTimesAcross*timeHorizontalSpacing)
build	18-Sep-2019 23:19:12	+                y0 = ystartOverlayLegend-(a-maxTimesAcross)*antennaVerticalSpacing
build	18-Sep-2019 23:19:12	+#            for tlt in timerangeListTimes:
build	18-Sep-2019 23:19:12	+            if (True):
build	18-Sep-2019 23:19:12	+                if (debug):
build	18-Sep-2019 23:19:12	+                    print("3)checking time %d, len(uTPFPS)=%d" % (a,len(uTPFPS)))
build	18-Sep-2019 23:19:12	+                if (sloppyMatch(uTPFPS[a],timerangeListTimes,
build	18-Sep-2019 23:19:12	+                                solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                mytime, scansToPlot, scansForUniqueTimes,
build	18-Sep-2019 23:19:12	+                                myprint=debugSloppyMatch)):
build	18-Sep-2019 23:19:12	+                    myUniqueTime = uTPFPS[a]
build	18-Sep-2019 23:19:12	+                    if (debug):
build	18-Sep-2019 23:19:12	+                        print("3)setting myUniqueTime to %d" % (myUniqueTime))
build	18-Sep-2019 23:19:12	+            if (debug): print("----> Drawing legendString: %s" % (legendString))
build	18-Sep-2019 23:19:12	+            if ((len(fieldsToPlot) > 1 or len(timerangeList) > 1) and overlayAntennas==False):
build	18-Sep-2019 23:19:12	+                # having overlayAntennas==False here will force all time labels to be black (as desired)
build	18-Sep-2019 23:19:12	+                if (debug):
build	18-Sep-2019 23:19:12	+                    print("len(uTPFPS)=%d, a=%d, len(myUniqueColor)=%d" % (len(uTPFPS),a,len(myUniqueColor)))
build	18-Sep-2019 23:19:12	+#                pb.text(x0, y0, legendString,color=overlayColors[timerangeList[a]],fontsize=mysize,
build	18-Sep-2019 23:19:12	+#                        transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+                if (debug):
build	18-Sep-2019 23:19:12	+                    print("len(uTPFPStimerange)=%d, a=%d, len(myUniqueColor)=%d" % (len(uTPFPStimerange),a,len(myUniqueColor)))
build	18-Sep-2019 23:19:12	+                pb.text(x0, y0, legendString,color=overlayColors[timerangeList[allTimeranges.index(uTPFPStimerange[a])]],
build	18-Sep-2019 23:19:12	+                        fontsize=mysize, transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+                if (debug):
build	18-Sep-2019 23:19:12	+                    print("done text")
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                pb.text(x0, y0, legendString,fontsize=mysize, transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def lineNumber():
build	18-Sep-2019 23:19:12	+    """Returns the current line number in our program."""
build	18-Sep-2019 23:19:12	+    return inspect.currentframe().f_back.f_lineno
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+def drawAtmosphereAndFDM(showatm, showtsky, atmString, subplotRows, mysize, TebbSky,
build	18-Sep-2019 23:19:12	+                         TebbSkyImage,plotrange, xaxis, atmchan, atmfreq, transmission,
build	18-Sep-2019 23:19:12	+                         subplotCols, showatmPoints,xframe, channels,LO1,atmchanImage,
build	18-Sep-2019 23:19:12	+                         atmfreqImage,transmissionImage, firstFrame,showfdm,nChannels,tableFormat,
build	18-Sep-2019 23:19:12	+                         originalSpw_casa33, chanFreqGHz_casa33,originalSpw,chanFreqGHz,
build	18-Sep-2019 23:19:12	+                         overlayTimes, overlayAntennas, xant, antennasToPlot, overlaySpws,
build	18-Sep-2019 23:19:12	+                         baseband, showBasebandNumber, basebandDict, overlayBasebands, 
build	18-Sep-2019 23:19:12	+                         drewAtmosphere):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    If requested by the user at the command line, draw the atmospheric curve
build	18-Sep-2019 23:19:12	+    and the FDM window locations.
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    mylineno = lineNumber()
build	18-Sep-2019 23:19:12	+    ylim = pb.ylim()  # CAS-8655
build	18-Sep-2019 23:19:12	+    if ((showatm or showtsky) and len(atmString) > 0): 
build	18-Sep-2019 23:19:12	+        ylim = DrawAtmosphere(showatm, showtsky, subplotRows, atmString,
build	18-Sep-2019 23:19:12	+                       mysize, TebbSky, plotrange, xaxis, atmchan,
build	18-Sep-2019 23:19:12	+                       atmfreq, transmission, subplotCols,
build	18-Sep-2019 23:19:12	+                       showatmPoints=showatmPoints, xframe=xframe, 
build	18-Sep-2019 23:19:12	+                       channels=channels,
build	18-Sep-2019 23:19:12	+                       mylineno=mylineno,xant=xant,
build	18-Sep-2019 23:19:12	+                       overlaySpws=overlaySpws, overlayBasebands=overlayBasebands,
build	18-Sep-2019 23:19:12	+                       drewAtmosphere=drewAtmosphere)
build	18-Sep-2019 23:19:12	+        if (LO1 != '' and LO1 is not None):
build	18-Sep-2019 23:19:12	+            # Now draw the image band
build	18-Sep-2019 23:19:12	+            ylim = DrawAtmosphere(showatm,showtsky, subplotRows, atmString,
build	18-Sep-2019 23:19:12	+                           mysize, TebbSkyImage, plotrange, xaxis,
build	18-Sep-2019 23:19:12	+                           atmchanImage, atmfreqImage, transmissionImage,
build	18-Sep-2019 23:19:12	+                           subplotCols, LO1, xframe, firstFrame, showatmPoints, 
build	18-Sep-2019 23:19:12	+                           channels=channels, mylineno=mylineno,xant=xant,
build	18-Sep-2019 23:19:12	+                           overlaySpws=overlaySpws, overlayBasebands=overlayBasebands,
build	18-Sep-2019 23:19:12	+                           drewAtmosphere=drewAtmosphere)
build	18-Sep-2019 23:19:12	+    # The following case is needed for the case that overlay='antenna,time' and
build	18-Sep-2019 23:19:12	+    # the final timerange is flagged on the final antenna.
build	18-Sep-2019 23:19:12	+#    if (overlayTimes==False or overlayAntennas==False or xant==antennasToPlot[-1]):
build	18-Sep-2019 23:19:12	+    # Because this function is now only called from one place, setting this to
build	18-Sep-2019 23:19:12	+    # True is what we want. - 18-Jun-2013
build	18-Sep-2019 23:19:12	+    if (True):
build	18-Sep-2019 23:19:12	+        if (xaxis.find('freq')>=0 and showfdm and nChannels <= 256):
build	18-Sep-2019 23:19:12	+            if (tableFormat == 33):
build	18-Sep-2019 23:19:12	+                showFDM(originalSpw_casa33, chanFreqGHz_casa33,
build	18-Sep-2019 23:19:12	+                        baseband, showBasebandNumber, basebandDict)
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                showFDM(originalSpw, chanFreqGHz,
build	18-Sep-2019 23:19:12	+                        baseband, showBasebandNumber, basebandDict)
build	18-Sep-2019 23:19:12	+            ylim = pb.ylim()  # CAS-11062 need to pass the new wider limits back up to calling function
build	18-Sep-2019 23:19:12	+    return ylim  # CAS-8655
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def DrawPolarizationLabelsForOverlayTime(xstartPolLabel,ystartPolLabel,corr_type,polsToPlot,
build	18-Sep-2019 23:19:12	+                                         channeldiff,ystartMadLabel,subplotRows,gamp_mad,mysize,
build	18-Sep-2019 23:19:12	+                                         ampmarkstyle,markersize,ampmarkstyle2, gamp_std):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    Currently this is only called for amp vs. X plots. The corresponding code for phase
build	18-Sep-2019 23:19:12	+    vs. X plots is still inside plotbandpass().  But this is okay because overlay='time'
build	18-Sep-2019 23:19:12	+    is mainly intended for Tsys plots.
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    x0 = xstartPolLabel
build	18-Sep-2019 23:19:12	+    y0 = ystartPolLabel
build	18-Sep-2019 23:19:12	+    if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:12	+        if (channeldiff > 0):
build	18-Sep-2019 23:19:12	+            pb.text(x0, ystartMadLabel-0.03*subplotRows*0,
build	18-Sep-2019 23:19:12	+                    corrTypeToString(corr_type[0])+' MAD = %.4f, St.Dev = %.4f'%(gamp_mad[0]['mad'], gamp_std[0]['std']),
build	18-Sep-2019 23:19:12	+                    color='k',size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+        if (ampmarkstyle.find('-')>=0):
build	18-Sep-2019 23:19:12	+            pb.text(x0, y0, corrTypeToString(corr_type[0])+' solid', color='k',
build	18-Sep-2019 23:19:12	+                    size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            pb.text(x0+0.02, y0, corrTypeToString(corr_type[0]), color='k',
build	18-Sep-2019 23:19:12	+                    size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+            pdesc = pb.plot([x0-0.1], [y0], '%sk'%ampmarkstyle, markersize=markersize,
build	18-Sep-2019 23:19:12	+                            scalex=False,scaley=False, transform=pb.gca().transAxes,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+    if (len(corr_type) > 1):
build	18-Sep-2019 23:19:12	+        if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:12	+            if (channeldiff > 0):
build	18-Sep-2019 23:19:12	+                pb.text(x0, ystartMadLabel-0.03*subplotRows*1,
build	18-Sep-2019 23:19:12	+                        corrTypeToString(corr_type[1])+' MAD = %.4f, St.Dev = %.4f'%(gamp_mad[1]['mad'], gamp_std[1]['std']),
build	18-Sep-2019 23:19:12	+                        color='k',size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+            if (ampmarkstyle2.find('--')>=0):
build	18-Sep-2019 23:19:12	+                pb.text(x0, y0-0.03*subplotRows, corrTypeToString(corr_type[1])+' dashed',
build	18-Sep-2019 23:19:12	+                        color='k', size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                pb.text(x0, y0-0.03*subplotRows, corrTypeToString(corr_type[1]), # removed +0.02*xrange on 11-Mar-2014
build	18-Sep-2019 23:19:12	+                        color='k', size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                pdesc = pb.plot([x0-0.1], [y0-0.03*subplotRows], '%sk'%ampmarkstyle2,
build	18-Sep-2019 23:19:12	+                                markersize=markersize, scalex=False,scaley=False, transform=pb.gca().transAxes,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def plural(u):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    If the length of the array passed is > 1, return 's', otherwise return ''.
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    if (len(u) > 1):
build	18-Sep-2019 23:19:12	+        return('s')
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        return('')
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+def casalogPost(debug,mystring):
build	18-Sep-2019 23:19:12	+    casalog.post(mystring)
build	18-Sep-2019 23:19:12	+    if (debug): print(mystring)
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+def computeHighestSpwIndexInSpwsToPlotThatHasCurrentScan(spwsToPlot, scansToPlotPerSpw, scan):
build	18-Sep-2019 23:19:12	+    highestSpwIndex = -1
build	18-Sep-2019 23:19:12	+    for i,spw in enumerate(spwsToPlot):
build	18-Sep-2019 23:19:12	+        if (scan in scansToPlotPerSpw[spw]):
build	18-Sep-2019 23:19:12	+            highestSpwIndex = i
build	18-Sep-2019 23:19:12	+    return(highestSpwIndex)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+DEFAULT_PLATFORMING_THRESHOLD = 10.0 # unused if platformingSigma != 0
build	18-Sep-2019 23:19:12	+def plotbandpass(caltable='', antenna='', field='', spw='', yaxis='amp',
build	18-Sep-2019 23:19:12	+                 xaxis='chan', figfile='', plotrange=[0,0,0,0], 
build	18-Sep-2019 23:19:12	+                 caltable2='', overlay='', showflagged=False, timeranges='',
build	18-Sep-2019 23:19:12	+                 buildpdf=False, caltable3='', markersize=3, density=108,
build	18-Sep-2019 23:19:12	+                 interactive=True, showpoints='auto', showlines='auto',
build	18-Sep-2019 23:19:12	+                 subplot='22', zoom='', poln='', showatm=False, pwv='auto',
build	18-Sep-2019 23:19:12	+                 gs='gs', convert='convert', chanrange='',
build	18-Sep-2019 23:19:12	+                 solutionTimeThresholdSeconds=30.0, debug=False,
build	18-Sep-2019 23:19:12	+                 phase='', vis='',showtsky=False, showfdm=False,showatmfield='',
build	18-Sep-2019 23:19:12	+                 lo1='', showimage=False, showatmPoints=False, parentms='', 
build	18-Sep-2019 23:19:12	+                 pdftk='pdftk', channeldiff=False, edge=8, resample=1,
build	18-Sep-2019 23:19:12	+                 platformingThreshold=DEFAULT_PLATFORMING_THRESHOLD,
build	18-Sep-2019 23:19:12	+                 platformingSigma=5.0, basebands=[], showBasebandNumber=False,
build	18-Sep-2019 23:19:12	+                 scans='', figfileSequential=False, chanrangeSetXrange=False):
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    This is a task to plot bandpass and Tsys calibration tables faster and more
build	18-Sep-2019 23:19:12	+    flexibly than plotcal, including the ability to overlay the atmospheric 
build	18-Sep-2019 23:19:12	+    transmission, and to create multi-page plots as pngs and combine them 
build	18-Sep-2019 23:19:12	+    into single PDF documents.
build	18-Sep-2019 23:19:12	+    It works with both the old style and new style cal tables.  The source code
build	18-Sep-2019 23:19:12	+    is in task_plotbandpass.py.  For more detailed help, see examples at:
build	18-Sep-2019 23:19:12	+    http://casaguides.nrao.edu/index.php?title=Plotbandpass
build	18-Sep-2019 23:19:12	+    -- Todd Hunter
build	18-Sep-2019 23:19:12	+    """
build	18-Sep-2019 23:19:12	+    casalog.origin('plotbandpass')
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"%s" % (PLOTBANDPASS_REVISION_STRING))
build	18-Sep-2019 23:19:12	+    DEBUG = debug
build	18-Sep-2019 23:19:12	+    help = False
build	18-Sep-2019 23:19:12	+    vm = '' # unused variable, now that msmd is available in casa
build	18-Sep-2019 23:19:12	+    if (help):
build	18-Sep-2019 23:19:12	+        print("Usage: plotbandpass(caltable='', antenna='', field='', spw='', yaxis='amp',")
build	18-Sep-2019 23:19:12	+        print("   xaxis='chan', figfile='', plotrange=[0,0,0,0], caltable2='',")
build	18-Sep-2019 23:19:12	+        print("   overlay='', showflagged=False, timeranges='', buildpdf=False, caltable3='',")
build	18-Sep-2019 23:19:12	+        print("   markersize=3, density=108, interactive=True, showpoints='auto',")
build	18-Sep-2019 23:19:12	+        print("   showlines='auto', subplot='22', zoom='', poln='', showatm=False, pwv='auto',")
build	18-Sep-2019 23:19:12	+        print("   gs='gs', convert='convert', chanrange='', debug=False,")
build	18-Sep-2019 23:19:12	+        print("   solutionTimeThresholdSeconds=30.0, phase='', vis='', showtsky=False,")
build	18-Sep-2019 23:19:12	+        print("   showfdm=False, showatmfield='', lo1='', showimage=False,")
build	18-Sep-2019 23:19:12	+        print("   showatmPoints=False, parentms='', pdftk='pdftk', channeldiff=False,")
build	18-Sep-2019 23:19:12	+        print("   edge=8, resample=1, vis='',platformingThreshold=%f," % (DEFAULT_PLATFORMING_THRESHOLD))
build	18-Sep-2019 23:19:12	+        print("   platformingSigma=%.1f, basebands=[], showBasebandNumber=False," % (5.0))
build	18-Sep-2019 23:19:12	+        print("   scans='')")
build	18-Sep-2019 23:19:12	+        print(" antenna: must be either an ID (int or string or list), or a single antenna name or list")
build	18-Sep-2019 23:19:12	+        print(" basebands: show only spws from the specified baseband or list of basebands (default:None=all)")
build	18-Sep-2019 23:19:12	+        print(" buildpdf: True/False, if True and figfile is set, assemble pngs into a pdf")
build	18-Sep-2019 23:19:12	+        print(" caltable: a bandpass table, of type B or BPOLY")
build	18-Sep-2019 23:19:12	+        print(" caltable2: a second cal table, of type BPOLY or B, to overlay on a B table")
build	18-Sep-2019 23:19:12	+        print(" caltable3: a third cal table, of type BPOLY, to overlay on the first two")
build	18-Sep-2019 23:19:12	+        print(" chanrange: set xrange ('5~100') over which to autoscale y-axis for xaxis='freq'")
build	18-Sep-2019 23:19:12	+        print(" channeldiff: set to value > 0 (sigma) to plot derivatives of amplitude")
build	18-Sep-2019 23:19:12	+        print(" convert: full path for convert command (in case it's not found)")
build	18-Sep-2019 23:19:12	+        print(" density: dpi to use in creating PNGs and PDFs (default=108)")
build	18-Sep-2019 23:19:12	+        print(" edge: the number of edge channels to ignore in finding outliers (for channeldiff>0)")
build	18-Sep-2019 23:19:12	+        print(" field: must be an ID, source name, or list thereof; can use trailing *: 'J*'")
build	18-Sep-2019 23:19:12	+        print(" figfile: the base_name of the png files to save: base_name.antX.spwY.png")
build	18-Sep-2019 23:19:12	+        print(" figfileSequential: naming scheme, False: name by spw/antenna (default)")
build	18-Sep-2019 23:19:12	+        print("                    True: figfile.1.png, figfile.2.png, etc.")
build	18-Sep-2019 23:19:12	+        print(" gs: full path for ghostscript command (in case it's not found)")
build	18-Sep-2019 23:19:12	+        print(" interactive: if False, then figfile will run to completion automatically and no gui")
build	18-Sep-2019 23:19:12	+        print(" lo1: specify the LO1 setting (in GHz) for the observation")
build	18-Sep-2019 23:19:12	+        print(" overlay: 'antenna','time','antenna,time','spw', or 'baseband'")
build	18-Sep-2019 23:19:12	+        print("        makes 1 plot with different items in colors")
build	18-Sep-2019 23:19:12	+        print(" markersize: size of points (default=3)")
build	18-Sep-2019 23:19:12	+        print(" vis: name of the ms for this table, in case it does not match the string in the caltable")
build	18-Sep-2019 23:19:12	+        print(" parentms: name of the parent ms, in case the ms has been previously split")
build	18-Sep-2019 23:19:12	+        print(" pdftk: full path for pdftk command (in case it's not found)")
build	18-Sep-2019 23:19:12	+        print(" phase: the y-axis limits to use for phase plots when yaxis='both'")
build	18-Sep-2019 23:19:12	+        print(" platformingSigma: declare platforming if the amplitude derivative exceeds this many times the MAD")
build	18-Sep-2019 23:19:12	+        print(" platformingThreshold: if platformingSigma=0, then declare platforming if the amplitude")
build	18-Sep-2019 23:19:12	+        print("                       derivative exceeds this percentage of the median")
build	18-Sep-2019 23:19:12	+        print(" plotrange: define axis limits: [x0,x1,y0,y1] where 0,0 means auto")
build	18-Sep-2019 23:19:12	+        print(" poln: polarizations to plot (e.g. 'XX','YY','RR','LL' or '' for both)")
build	18-Sep-2019 23:19:12	+        print(" pwv: define the pwv to use for the showatm option: 'auto' or value in mm")
build	18-Sep-2019 23:19:12	+        print(" resample: channel expansion factor to use when computing MAD of derivative (for channeldiff>0)")
build	18-Sep-2019 23:19:12	+        print(" scans: show only solutions for the specified scans (int, list, or string)")
build	18-Sep-2019 23:19:12	+        print(" showatm: compute and overlay the atmospheric transmission curve")
build	18-Sep-2019 23:19:12	+        print(" showatmfield: for overlay='time', use first observation of this fieldID or name")
build	18-Sep-2019 23:19:12	+        print(" showatmPoints: draw atmospheric curve with points instead of a line")
build	18-Sep-2019 23:19:12	+        print(" showBasebandNumber: put the BBC_NO in the title of each plot")
build	18-Sep-2019 23:19:12	+        print(" showfdm: when showing TDM spws with xaxis='freq', draw locations of FDM spws")
build	18-Sep-2019 23:19:12	+        print(" showflagged:  show the values of data, even if flagged")
build	18-Sep-2019 23:19:12	+        print(" showimage: also show the atmospheric curve for the image sideband (in black)")
build	18-Sep-2019 23:19:12	+        print(" showtsky: compute and overlay the sky temperature curve instead of transmission")
build	18-Sep-2019 23:19:12	+        print(" showlines: draw lines connecting the data (default=T for amp, F for phase)")
build	18-Sep-2019 23:19:12	+        print(" showpoints: draw points for the data (default=F for amp, T for phase)")
build	18-Sep-2019 23:19:12	+        print(" solutionTimeThresholdSeconds: consider 2 solutions simultaneous if within this interval (default=30)")
build	18-Sep-2019 23:19:12	+        print(" spw: must be single ID or list or range (e.g. 0~4, not the original ID)")
build	18-Sep-2019 23:19:12	+        print(" subplot: 11..81,22,32 or 42 for RowsxColumns (default=22), any 3rd digit is ignored")
build	18-Sep-2019 23:19:12	+        print(" timeranges: show only these timeranges, the first timerange being 0")
build	18-Sep-2019 23:19:12	+        print(" xaxis: 'chan' or 'freq'")
build	18-Sep-2019 23:19:12	+        print(" yaxis: 'amp', 'tsys', 'phase', or 'both' amp&phase == 'ap'; append 'db' for dB")
build	18-Sep-2019 23:19:12	+        print(" zoom: 'intersect' will zoom to overlap region of caltable with caltable2")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    mytimestamp = timeUtilities.time()
build	18-Sep-2019 23:19:12	+    debugSloppyMatch = debug
build	18-Sep-2019 23:19:12	+    doneOverlayTime = False  # changed from True on 08-nov-2012
build	18-Sep-2019 23:19:12	+    missingCalWVRErrorPrinted = False
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # initialize the arguments to DrawAtmosphereAndFDM() 
build	18-Sep-2019 23:19:12	+    TebbSky = None      
build	18-Sep-2019 23:19:12	+    TebbSkyImage = None 
build	18-Sep-2019 23:19:12	+    atmchan = None      
build	18-Sep-2019 23:19:12	+    atmfreq = None      
build	18-Sep-2019 23:19:12	+    transmission = None 
build	18-Sep-2019 23:19:12	+    atmchanImage = None      
build	18-Sep-2019 23:19:12	+    atmfreqImage = None      
build	18-Sep-2019 23:19:12	+    transmissionImage = None 
build	18-Sep-2019 23:19:12	+    originalSpw_casa33 = None
build	18-Sep-2019 23:19:12	+    originalSpw = None       
build	18-Sep-2019 23:19:12	+    chanFreqGHz_casa33 = None
build	18-Sep-2019 23:19:12	+    chanFreqGHz = None
build	18-Sep-2019 23:19:12	+    # initialize arguments to DrawPolarizationLabelsForOverlayTime()
build	18-Sep-2019 23:19:12	+    gamp_mad = None
build	18-Sep-2019 23:19:12	+    gamp_std = None
build	18-Sep-2019 23:19:12	+    figfileNumber = 0  # only used if figfileSequential == True
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    if (False):
build	18-Sep-2019 23:19:12	+      # Write a .last file
build	18-Sep-2019 23:19:12	+      if (os.access('plotbandpass.last',os.W_OK)):
build	18-Sep-2019 23:19:12	+        cmd = 'plotbandpass'
build	18-Sep-2019 23:19:12	+        lastfile = open('%s.last'%cmd,'w')
build	18-Sep-2019 23:19:12	+        lastfile.write('taskname           = "%s"\n'%cmd)
build	18-Sep-2019 23:19:12	+        cmd += '(' + writeArgument(lastfile, "caltable", caltable)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "antenna" , antenna)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "field" , field)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "spw" , spw)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "yaxis", yaxis)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "xaxis", xaxis)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "figfile", figfile)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "plotrange" , plotrange)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "caltable2", caltable2)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "overlay", overlay)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showflagged", showflagged)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "timeranges", timeranges)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "buildpdf", buildpdf)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "caltable3", caltable3)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "markersize", markersize)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "density", density)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "interactive", interactive)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showpoints", showpoints)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showlines", showlines)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "subplot", subplot)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "zoom", zoom)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "poln", poln)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showatm", showatm)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showatmfield", showatmfield)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "pwv", pwv)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "gs", gs)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "convert", convert)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "chanrange", chanrange)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "solutionTimeThresholdSeconds", solutionTimeThresholdSeconds)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "debug", debug)
build	18-Sep-2019 23:19:12	+        #  cmd += ',' + writeArgument(lastfile, "vm", vm)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "phase", phase)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "vis", vis)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "parentms", parentms)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "lo1", lo1)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showimage", showimage)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showtsky", showtsky)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showatmPoints", showatmPoints)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "showfdm", showfdm)
build	18-Sep-2019 23:19:12	+        cmd += ',' + writeArgument(lastfile, "pdftk", pdftk) + ')'
build	18-Sep-2019 23:19:12	+        lastfile.write('#%s\n'%(cmd))
build	18-Sep-2019 23:19:12	+        lastfile.close()
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    LO1 = None  # Fix for SCOPS-4877
build	18-Sep-2019 23:19:12	+    lo1s = None # Fix for SCOPS-4877
build	18-Sep-2019 23:19:12	+    if (showimage == False):
build	18-Sep-2019 23:19:12	+        LO1 = lo1 = ''
build	18-Sep-2019 23:19:12	+    elif (lo1 != ''):
build	18-Sep-2019 23:19:12	+        if re.match("^\d+?\.\d+?$", lo1) is None:
build	18-Sep-2019 23:19:12	+                print("lo1 must be a float (entered as a string or number)")
build	18-Sep-2019 23:19:12	+                return
build	18-Sep-2019 23:19:12	+        lo1 = float(lo1)
build	18-Sep-2019 23:19:12	+        if (lo1 > 1e6):
build	18-Sep-2019 23:19:12	+            # convert from Hz to GHz
build	18-Sep-2019 23:19:12	+            lo1 *= 1e-9
build	18-Sep-2019 23:19:12	+    if (showatm and showtsky):
build	18-Sep-2019 23:19:12	+        print("You have selected both showatm and showtsky!  Defaulting to showatm=True only.")
build	18-Sep-2019 23:19:12	+        showtsky = False
build	18-Sep-2019 23:19:12	+    if (showatm==False and showtsky==False and showatmfield!=''):
build	18-Sep-2019 23:19:12	+        print("Defaulting to showatm=True because showatmfield was specified.")
build	18-Sep-2019 23:19:12	+        showatm = True
build	18-Sep-2019 23:19:12	+    if (showatm==False and showtsky==False and showimage==True):
build	18-Sep-2019 23:19:12	+        print("Defaulting to showatm=True because showimage was True.")
build	18-Sep-2019 23:19:12	+        showatm = True
build	18-Sep-2019 23:19:12	+    if (overlay.find('time') < 0 and showatmfield != ''):
build	18-Sep-2019 23:19:12	+        print("The showatmfield only has meaning for overlay='time'.")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    if (plotrange=='' or plotrange==[]):
build	18-Sep-2019 23:19:12	+        plotrange = [0,0,0,0]
build	18-Sep-2019 23:19:12	+    if (type(plotrange) != list):
build	18-Sep-2019 23:19:12	+        print("plotrange must be an array: e.g. [0,1,-180,180]")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    if (len(plotrange) < 4):
build	18-Sep-2019 23:19:12	+        print("plotrange must be an array: e.g. [0,1,-180,180]")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    if (phase != ''):
build	18-Sep-2019 23:19:12	+        if (type(phase) != list):
build	18-Sep-2019 23:19:12	+            print("phase must be either '' or 2 values: [x,y]")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        if (len(phase) != 2):
build	18-Sep-2019 23:19:12	+            print("phase must be either '' or 2 values: [x,y]")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (edge < 0):
build	18-Sep-2019 23:19:12	+        print("edge must be >= 0")
build	18-Sep-2019 23:19:12	+        return(vm)
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    if (resample < 1):
build	18-Sep-2019 23:19:12	+        print("resample must be an integer >= 1")
build	18-Sep-2019 23:19:12	+        return(vm)
build	18-Sep-2019 23:19:12	+    resample = int(resample)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    if (buildpdf and figfile==''):
build	18-Sep-2019 23:19:12	+        print("With buildPDF=True, you must specify figfile='yourFileName' (.png will be appended if necessary).")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (interactive==False and figfile=='' and channeldiff == False):
build	18-Sep-2019 23:19:12	+        print("With interactive=False and channeldiff=False, you must specify figfile='yourFileName' (.png will be appended if necessary).")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    pxl = 0 # polarization number to use for setting xlimits if plotrange=[0,0...]
build	18-Sep-2019 23:19:12	+    chanrangePercent = None
build	18-Sep-2019 23:19:12	+    if (type(chanrange) != str):
build	18-Sep-2019 23:19:12	+        if (type(chanrange) != list):
build	18-Sep-2019 23:19:12	+            print("Chanrange must be a string or list:  '8~120' or [8,120]")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        elif (len(chanrange) != 2):
build	18-Sep-2019 23:19:12	+            print("Chanrange must be a string or list:  '8~120' or [8,120]")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        elif ((type(chanrange[0]) != int) or (type(chanrange[1]) != int)):
build	18-Sep-2019 23:19:12	+            print("Chanrange list members must be integers, not %s, %s" % (type(chanrange[0]), type(chanrange[1])))
build	18-Sep-2019 23:19:12	+            return
build	18-Sep-2019 23:19:12	+    elif (len(chanrange) < 1):
build	18-Sep-2019 23:19:12	+        chanrange = [0,0]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (chanrange.find('%')>0):
build	18-Sep-2019 23:19:12	+            chanrangePercent = float(chanrange.split('%')[0])
build	18-Sep-2019 23:19:12	+            if (chanrangePercent >= 100 or chanrangePercent <= 0):
build	18-Sep-2019 23:19:12	+                chanrangePercent = None
build	18-Sep-2019 23:19:12	+            chanrange = [0,0]
build	18-Sep-2019 23:19:12	+        elif (chanrange.find('~')>=0):
build	18-Sep-2019 23:19:12	+            tokens = chanrange.split('~')
build	18-Sep-2019 23:19:12	+            if (len(tokens) < 2):
build	18-Sep-2019 23:19:12	+                print("Invalid chanrange string, too few tokens")
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+            try:
build	18-Sep-2019 23:19:12	+                chanrange = [int(tokens[0]),int(tokens[1])]
build	18-Sep-2019 23:19:12	+                if (DEBUG):
build	18-Sep-2019 23:19:12	+                    print("Using chanrange = %s" % (str(chanrange)))
build	18-Sep-2019 23:19:12	+            except:
build	18-Sep-2019 23:19:12	+                print("Invalid chanrange, not integers")
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            print("Invalid chanrange, no tilde or percent sign found")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:12	+            print("The chanrange parameter is only valid for xaxis='freq', and only if the plotrange is [0,0,0,0].")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+    if (chanrange[0] < 0):
build	18-Sep-2019 23:19:12	+        print("Invalid chanrange, cannot be negative")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    if ((chanrange[0] != 0 or chanrange[1] != 0 or chanrangePercent != None) and
build	18-Sep-2019 23:19:12	+        (plotrange[0] != 0 or plotrange[1] != 0 or plotrange[2] != 0 or plotrange[3] != 0)):
build	18-Sep-2019 23:19:12	+        print("If chanrange is specified, then plotrange must be all zeros.")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+    if (pwv==''):
build	18-Sep-2019 23:19:12	+        pwv = 1.0
build	18-Sep-2019 23:19:12	+    if (type(poln) != list):
build	18-Sep-2019 23:19:12	+          poln = poln.upper()
build	18-Sep-2019 23:19:12	+    if (poln == 'X'):
build	18-Sep-2019 23:19:12	+          poln = 'XX'
build	18-Sep-2019 23:19:12	+    if (poln == 'Y'):
build	18-Sep-2019 23:19:12	+          poln = 'YY'
build	18-Sep-2019 23:19:12	+    if (poln == 'X,Y' or poln=='Y,X'):
build	18-Sep-2019 23:19:12	+          poln = 'XX,YY'
build	18-Sep-2019 23:19:12	+    if (poln == 'R'):
build	18-Sep-2019 23:19:12	+          poln = 'RR'
build	18-Sep-2019 23:19:12	+    if (poln == 'L'):
build	18-Sep-2019 23:19:12	+          poln = 'LL'
build	18-Sep-2019 23:19:12	+    if (poln == 'R,L' or poln=='L,R'):
build	18-Sep-2019 23:19:12	+          poln = 'RR,LL'
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # Parse the polarizations to plot from the command line
build	18-Sep-2019 23:19:12	+    # Prior to opening the .ms (later), we cannot tell which products are actually present
build	18-Sep-2019 23:19:12	+    useAllPols = False
build	18-Sep-2019 23:19:12	+    if (poln == ''):
build	18-Sep-2019 23:19:12	+        useAllPols = True
build	18-Sep-2019 23:19:12	+        polsToPlot = ['XX','YY']  # assume ALMA initially
build	18-Sep-2019 23:19:12	+    elif (type(poln) == list):
build	18-Sep-2019 23:19:12	+        polsToPlot = poln
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if ((poln in ['','RR','RL','LR','LL','XX','XY','YX','YY','RR,LL','XX,YY']) == False):
build	18-Sep-2019 23:19:12	+            print("Unrecognized polarization option = %s" % (poln))
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        if (poln.find(',')>0):
build	18-Sep-2019 23:19:12	+            polsToPlot = poln.split(',')
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            polsToPlot = [poln]
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+    if ((overlay in ['antenna', 'spw', 'time', 'baseband', '',
build	18-Sep-2019 23:19:12	+                     'antenna,time', 'time,antenna']) == False):
build	18-Sep-2019 23:19:12	+        print("Unrecognized option for overlay: only 'antenna', 'spw', 'baseband', 'time' and 'antenna,time' are supported.")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+       
build	18-Sep-2019 23:19:12	+    allowedFrames = [11,21,31,41,51,61,71,81,22,32,42] # [11,22,32,42]
build	18-Sep-2019 23:19:12	+    if (int(subplot) > 100):
build	18-Sep-2019 23:19:12	+        # This will accept 111, 221, 321, 421, etc.
build	18-Sep-2019 23:19:12	+        subplot /= 10
build	18-Sep-2019 23:19:12	+    if ((int(subplot) in allowedFrames)==False):
build	18-Sep-2019 23:19:12	+      print("Subplot choice (rows x columns) must be one of %s" % (str(allowedFrames)))
build	18-Sep-2019 23:19:12	+      print("(with an optional trailing digit that is ignored).")
build	18-Sep-2019 23:19:12	+      return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if ((int(subplot) % 2) == 1):
build	18-Sep-2019 23:19:12	+        timeHorizontalSpacing = 0.06*1.3 # *1.3 is for HH:MM:SS (timeFormat=3 in drawOverlayTimeLegends)
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        timeHorizontalSpacing = 0.05*1.3 # *1.3 is for HH:MM:SS
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    if (yaxis.find('both')<0 and yaxis.find('ap')<0 and yaxis.find('tsys')<0 and
build	18-Sep-2019 23:19:12	+        yaxis.find('amp')<0 and yaxis.find('phase')<0):
build	18-Sep-2019 23:19:12	+        print("Invalid yaxis.  Must be 'amp', 'tsys', 'phase' or 'both'.")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (yaxis.find('tsys')>=0):
build	18-Sep-2019 23:19:12	+        yaxis = 'amp'
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (xaxis.find('chan')<0 and xaxis.find('freq')<0):
build	18-Sep-2019 23:19:12	+        print("Invalid xaxis.  Must be 'chan' or 'freq'.")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (showatm and showtsky):
build	18-Sep-2019 23:19:12	+        print("showatm=True and showtsky=True are mutually exclusive options")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (showfdm and xaxis.find('freq')<0):
build	18-Sep-2019 23:19:12	+        print("The option showfdm=True requires xaxis='freq'.")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # Plotting settings
build	18-Sep-2019 23:19:12	+    minPhaseRange = 0.2
build	18-Sep-2019 23:19:12	+    plotfiles = []
build	18-Sep-2019 23:19:12	+    if (int(subplot) % 2 == 1):
build	18-Sep-2019 23:19:12	+      mysize = '10'
build	18-Sep-2019 23:19:12	+      titlesize = 10
build	18-Sep-2019 23:19:12	+    elif (int(subplot) == 22 or int(subplot) == 32):
build	18-Sep-2019 23:19:12	+      mysize = '8'
build	18-Sep-2019 23:19:12	+      titlesize = 8
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+      mysize = '7'
build	18-Sep-2019 23:19:12	+      titlesize = 8
build	18-Sep-2019 23:19:12	+    maxCharsBeforeReducingTitleFontSize = 72
build	18-Sep-2019 23:19:12	+    if (type(subplot) == str):
build	18-Sep-2019 23:19:12	+        subplot = int(subplot)
build	18-Sep-2019 23:19:12	+    if (subplot in allowedFrames == False):
build	18-Sep-2019 23:19:12	+        print("Invalid subplot = %d.  Valid options are: %s" % (subplot,str(allowedFrames)))
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    xframeStart = int(subplot)*10  # i.e. 110 or 220 or 420
build	18-Sep-2019 23:19:12	+    firstFrame = xframeStart + 1
build	18-Sep-2019 23:19:12	+    lastFrame = xframeStart + (subplot/10)*(subplot%10)
build	18-Sep-2019 23:19:12	+    bottomRowFrames = [111,212,313,414,515,616,717,818,223,224,325,326,427,428]  # try to make this more general
build	18-Sep-2019 23:19:12	+    leftColumnFrames = [111,211,212,311,312,313,411,412,413,414,511,512,513,514,515,611,612,613,614,615,616,
build	18-Sep-2019 23:19:12	+                      711,712,713,714,715,716,717,811,812,813,814,815,816,817,818,221,223,321,323,325,421,423,425,427]
build	18-Sep-2019 23:19:12	+    rightColumnFrames = [111,211,212,311,312,313,411,412,413,414,511,512,513,514,515,611,612,613,614,615,616,
build	18-Sep-2019 23:19:12	+                       711,712,713,714,715,716,717,811,812,813,814,815,816,817,818,222,224,322,324,326,422,424,426,428]
build	18-Sep-2019 23:19:12	+    subplotCols = subplot % 10
build	18-Sep-2019 23:19:12	+    subplotRows = subplot/10
build	18-Sep-2019 23:19:12	+    ystartPolLabel = 1.0-0.04*subplotRows
build	18-Sep-2019 23:19:12	+    ystartMadLabel = 0.04*subplotRows
build	18-Sep-2019 23:19:12	+    if (subplotCols == 1):
build	18-Sep-2019 23:19:12	+        fstringLimit = 40 # character length of multi-field overlay title string
build	18-Sep-2019 23:19:12	+    elif (subplotCols == 2):
build	18-Sep-2019 23:19:12	+        fstringLimit = 12 # character length of multi-field overlay title string
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    xframe = xframeStart
build	18-Sep-2019 23:19:12	+    previousSubplot = xframe
build	18-Sep-2019 23:19:12	+    xcolor = 'b'
build	18-Sep-2019 23:19:12	+    ycolor = 'g'
build	18-Sep-2019 23:19:12	+    pcolor = ['b','g']
build	18-Sep-2019 23:19:12	+    x2color = 'k'
build	18-Sep-2019 23:19:12	+    y2color = 'c'
build	18-Sep-2019 23:19:12	+    p2color = ['k','c']
build	18-Sep-2019 23:19:12	+    x3color = 'm'
build	18-Sep-2019 23:19:12	+    y3color = 'r'
build	18-Sep-2019 23:19:12	+    p3color = ['m','r']
build	18-Sep-2019 23:19:12	+    if (showpoints == 'auto'):
build	18-Sep-2019 23:19:12	+        if (showlines == 'auto'):
build	18-Sep-2019 23:19:12	+            ampmarkstyle = '-'
build	18-Sep-2019 23:19:12	+            phasemarkstyle = '.'
build	18-Sep-2019 23:19:12	+            if (len(polsToPlot) == 1):
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = '-'
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = '--'
build	18-Sep-2019 23:19:12	+            phasemarkstyle2 = 'o'
build	18-Sep-2019 23:19:12	+        elif (showlines == False):
build	18-Sep-2019 23:19:12	+            ampmarkstyle = '.'
build	18-Sep-2019 23:19:12	+            ampmarkstyle2 = 'o'
build	18-Sep-2019 23:19:12	+            phasemarkstyle = '.'
build	18-Sep-2019 23:19:12	+            phasemarkstyle2 = 'o'
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            ampmarkstyle = '-'
build	18-Sep-2019 23:19:12	+            phasemarkstyle = '-'
build	18-Sep-2019 23:19:12	+            if (len(polsToPlot) == 1):
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = '-'
build	18-Sep-2019 23:19:12	+                  phasemarkstyle2 = '-'
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = '--'
build	18-Sep-2019 23:19:12	+                  phasemarkstyle2 = '--'
build	18-Sep-2019 23:19:12	+    elif (showpoints == True):
build	18-Sep-2019 23:19:12	+        if (showlines == 'auto'):
build	18-Sep-2019 23:19:12	+            ampmarkstyle = '.-'
build	18-Sep-2019 23:19:12	+            phasemarkstyle = '.'
build	18-Sep-2019 23:19:12	+            if (len(polsToPlot) == 1):
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = 'o-'
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = 'o--'
build	18-Sep-2019 23:19:12	+            phasemarkstyle2 = 'o'
build	18-Sep-2019 23:19:12	+        elif (showlines == False):
build	18-Sep-2019 23:19:12	+            ampmarkstyle = '.'
build	18-Sep-2019 23:19:12	+            ampmarkstyle2 = 'o'
build	18-Sep-2019 23:19:12	+            phasemarkstyle = '.'
build	18-Sep-2019 23:19:12	+            phasemarkstyle2 = 'o'
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            ampmarkstyle = '.-'
build	18-Sep-2019 23:19:12	+            phasemarkstyle = '.-'
build	18-Sep-2019 23:19:12	+            if (len(polsToPlot) == 1):
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = 'o-'
build	18-Sep-2019 23:19:12	+                  phasemarkstyle2 = 'o-'
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                  ampmarkstyle2 = 'o--'
build	18-Sep-2019 23:19:12	+                  phasemarkstyle2 = 'o--'
build	18-Sep-2019 23:19:12	+    else:  # showpoints == False
build	18-Sep-2019 23:19:12	+        if (showlines == False):
build	18-Sep-2019 23:19:12	+            print('You must have either showpoints or showlines set True or auto, assuming showlines=T')
build	18-Sep-2019 23:19:12	+        ampmarkstyle = '-'
build	18-Sep-2019 23:19:12	+        phasemarkstyle = '-'
build	18-Sep-2019 23:19:12	+        if (len(polsToPlot) == 1):
build	18-Sep-2019 23:19:12	+              ampmarkstyle2 = '-'
build	18-Sep-2019 23:19:12	+              phasemarkstyle2 = '-'
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+              ampmarkstyle2 = '--'
build	18-Sep-2019 23:19:12	+              phasemarkstyle2 = '--'
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    ampmarkstyles = [ampmarkstyle,ampmarkstyle2]
build	18-Sep-2019 23:19:12	+    phasemarkstyles = [phasemarkstyle,phasemarkstyle2]
build	18-Sep-2019 23:19:12	+    # bpoly solutions should always be shown as lines, not dots or dots+lines
build	18-Sep-2019 23:19:12	+    bpolymarkstyle = '-'
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    amplitudeWithPhase = (yaxis.find('both')>=0 or yaxis.find('ap')>=0)
build	18-Sep-2019 23:19:12	+    if (amplitudeWithPhase):
build	18-Sep-2019 23:19:12	+        myhspace = 0.30
build	18-Sep-2019 23:19:12	+        if (overlay.find('antenna')>=0 or overlay.find('time')>=0  or overlay.find('spw')>=0):
build	18-Sep-2019 23:19:12	+            print("Option 'overlay' is incompatible with yaxis='both'.  Pick either amp or phase.")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        myhspace = 0.30
build	18-Sep-2019 23:19:12	+    if (subplot/10 > 2):
build	18-Sep-2019 23:19:12	+        myhspace = 0.4
build	18-Sep-2019 23:19:12	+    if (subplot/10 > 3):
build	18-Sep-2019 23:19:12	+        myhspace = 0.6
build	18-Sep-2019 23:19:12	+    mywspace = 0.25
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    # Now open the Bandpass solution table
build	18-Sep-2019 23:19:12	+    if (len(caltable) < 1):
build	18-Sep-2019 23:19:12	+        print("You need to specify a caltable.")
build	18-Sep-2019 23:19:12	+        return(vm)
build	18-Sep-2019 23:19:12	+    if (caltable[-1] == '/'):
build	18-Sep-2019 23:19:12	+        print("Stripping off the trailing '/' from the caltable name.")
build	18-Sep-2019 23:19:12	+        caltable = caltable[:-1]
build	18-Sep-2019 23:19:12	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:12	+    try:
build	18-Sep-2019 23:19:12	+        if (DEBUG): print("Trying to open: %s." % (caltable))
build	18-Sep-2019 23:19:12	+        mytb.open(caltable)
build	18-Sep-2019 23:19:12	+    except:
build	18-Sep-2019 23:19:12	+        print("Could not open the caltable = %s" % (caltable))
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    if (caltable[0] != '/'):
build	18-Sep-2019 23:19:12	+        # print(this so when someone sends me a bug report I can find their data!)
build	18-Sep-2019 23:19:12	+        try:
build	18-Sep-2019 23:19:12	+            print("caltable = %s:%s/%s" % (os.uname()[1], os.getcwd(), caltable))
build	18-Sep-2019 23:19:12	+        except:
build	18-Sep-2019 23:19:12	+            print("caltable = localhost:%s/%s" % (os.getcwd(), caltable))
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        try:
build	18-Sep-2019 23:19:12	+            print("caltable = %s:%s" % (os.uname()[1], caltable))
build	18-Sep-2019 23:19:12	+        except:
build	18-Sep-2019 23:19:12	+            print("caltable = localhost:%s" % (caltable))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (len(caltable) > 90):
build	18-Sep-2019 23:19:12	+        caltableTitle = '...' + caltable[-90:]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        caltableTitle = caltable
build	18-Sep-2019 23:19:12	+    names = mytb.colnames()
build	18-Sep-2019 23:19:12	+    ant = mytb.getcol('ANTENNA1')
build	18-Sep-2019 23:19:12	+    fields = mytb.getcol('FIELD_ID')
build	18-Sep-2019 23:19:12	+    if (DEBUG):
build	18-Sep-2019 23:19:12	+        print("FIELD_ID column = %s" % (str(fields)))
build	18-Sep-2019 23:19:12	+    validFields = False
build	18-Sep-2019 23:19:12	+    for f in fields:
build	18-Sep-2019 23:19:12	+        if (f != -1):
build	18-Sep-2019 23:19:12	+            validFields = True
build	18-Sep-2019 23:19:12	+    if (validFields == False):
build	18-Sep-2019 23:19:12	+        print("The field_id is -1 (invalid) for all rows of this caltable.")
build	18-Sep-2019 23:19:12	+        print("Did you remember to run assignFieldAndScanToSolution()?")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    try:
build	18-Sep-2019 23:19:12	+        flags = {}
build	18-Sep-2019 23:19:12	+        for f in range(len(fields)):
build	18-Sep-2019 23:19:12	+            flags[f] = mytb.getcell('FLAG',f)
build	18-Sep-2019 23:19:12	+    except:
build	18-Sep-2019 23:19:12	+        print("No Flag column found. Are you sure this is a bandpass solution file, or is it the .ms?")
build	18-Sep-2019 23:19:12	+        print("If it is a solution file, does it contain solutions for both TDM and FDM spws?")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    times = mytb.getcol('TIME')
build	18-Sep-2019 23:19:12	+    intervals = mytb.getcol('INTERVAL')
build	18-Sep-2019 23:19:12	+    if ('SPECTRAL_WINDOW_ID' not in names):
build	18-Sep-2019 23:19:12	+        tableFormat = 33
build	18-Sep-2019 23:19:12	+        cal_desc_id = mytb.getcol('CAL_DESC_ID')
build	18-Sep-2019 23:19:12	+        VisCal = (mytb.info())['subType']
build	18-Sep-2019 23:19:12	+        if (VisCal == "BPOLY"):
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"This appears to be a BPOLY cal table written in the casa 3.3/3.4 style.")
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"This appears to be an old-format cal table from casa 3.3 or earlier.")
build	18-Sep-2019 23:19:12	+        if (debug): print("VisCal = %s" % (VisCal))
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+        ParType = "unknown"  # i.e. not Complex
build	18-Sep-2019 23:19:12	+        calDesc = mytb.open(caltable+'/CAL_DESC')
build	18-Sep-2019 23:19:12	+        originalSpws = mytb.getcol('SPECTRAL_WINDOW_ID')  # [[0,1,2,3]]
build	18-Sep-2019 23:19:12	+        if debug: print("originalSpws = %s" % (str(originalSpws)))
build	18-Sep-2019 23:19:12	+        originalSpw = originalSpws[0]                   # [0,1,2,3]
build	18-Sep-2019 23:19:12	+        if debug: print("originalSpw = %s" % (str(originalSpw)))
build	18-Sep-2019 23:19:12	+        msName = mytb.getcol('MS_NAME')[0]
build	18-Sep-2019 23:19:12	+        if debug: print("msName in table = %s" % (msName))
build	18-Sep-2019 23:19:12	+        if (vis != ''):
build	18-Sep-2019 23:19:12	+            msName = vis
build	18-Sep-2019 23:19:12	+        # This appears to be the channel range extracted from the original spw, but is
build	18-Sep-2019 23:19:12	+        # only present in B solutions.  
build	18-Sep-2019 23:19:12	+        if (VisCal == "BPOLY"):
build	18-Sep-2019 23:19:12	+            originalChannelStart = np.zeros(len(originalSpw))
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            originalChannelRange = mytb.getcol('CHAN_RANGE')
build	18-Sep-2019 23:19:12	+            originalChannelStart = originalChannelRange[0][0][:][0]
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+        try:
build	18-Sep-2019 23:19:12	+            mytb.open(msName+'/SPECTRAL_WINDOW')
build	18-Sep-2019 23:19:12	+            refFreq = mytb.getcol('REF_FREQUENCY')    
build	18-Sep-2019 23:19:12	+            net_sideband = mytb.getcol('NET_SIDEBAND')
build	18-Sep-2019 23:19:12	+            measFreqRef = mytb.getcol('MEAS_FREQ_REF')
build	18-Sep-2019 23:19:12	+            originalSpw_casa33 = range(len(measFreqRef))
build	18-Sep-2019 23:19:12	+            chanFreqGHz_casa33 = []     # used by showFDM
build	18-Sep-2019 23:19:12	+            for i in originalSpw_casa33:
build	18-Sep-2019 23:19:12	+                # They array shapes can vary.
build	18-Sep-2019 23:19:12	+                chanFreqGHz_casa33.append(1e-9 * mytb.getcell('CHAN_FREQ',i))
build	18-Sep-2019 23:19:12	+            mytb.close()
build	18-Sep-2019 23:19:12	+        except:
build	18-Sep-2019 23:19:12	+            print("2) Could not open the associated measurement set tables (%s). Will not translate antenna names." % (msName))
build	18-Sep-2019 23:19:12	+    else:  # 3.4
build	18-Sep-2019 23:19:12	+        tableFormat = 34
build	18-Sep-2019 23:19:12	+        cal_desc_id = mytb.getcol('SPECTRAL_WINDOW_ID')
build	18-Sep-2019 23:19:12	+        cal_scans = mytb.getcol('SCAN_NUMBER')
build	18-Sep-2019 23:19:12	+        unique_cal_scans = np.unique(cal_scans)
build	18-Sep-2019 23:19:12	+        cal_scans_per_spw = {}
build	18-Sep-2019 23:19:12	+        for myspw in np.unique(cal_desc_id):
build	18-Sep-2019 23:19:12	+            cal_scans_per_spw[myspw] = np.unique(cal_scans[np.where(myspw == cal_desc_id)[0]])
build	18-Sep-2019 23:19:12	+            if (debug):
build	18-Sep-2019 23:19:12	+                print("spw %d: scans %s" % (myspw,str(cal_scans_per_spw[myspw])))
build	18-Sep-2019 23:19:12	+        ParType = mytb.getkeyword('ParType')    # string = 'Complex'
build	18-Sep-2019 23:19:12	+        msName = mytb.getkeyword('MSName')      
build	18-Sep-2019 23:19:12	+        VisCal = mytb.getkeyword('VisCal')      # string = 'B TSYS'
build	18-Sep-2019 23:19:12	+        PolBasis = mytb.getkeyword('PolBasis')  # string = 'LINEAR'
build	18-Sep-2019 23:19:12	+        spectralWindowTable = mytb.getkeyword('SPECTRAL_WINDOW').split()[1]
build	18-Sep-2019 23:19:12	+        antennaTable = mytb.getkeyword('ANTENNA').split()[1]
build	18-Sep-2019 23:19:12	+        fieldTable = mytb.getkeyword('FIELD').split()[1]
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+        mytb.open(spectralWindowTable)
build	18-Sep-2019 23:19:12	+        chanFreqGHz = []
build	18-Sep-2019 23:19:12	+        originalSpws = range(len(mytb.getcol('MEAS_FREQ_REF')))
build	18-Sep-2019 23:19:12	+        originalSpw = originalSpws  # may need to do a global replace of this
build	18-Sep-2019 23:19:12	+        originalSpwNames = mytb.getcol('NAME')
build	18-Sep-2019 23:19:12	+        for i in originalSpws:
build	18-Sep-2019 23:19:12	+            # They array shapes can vary.
build	18-Sep-2019 23:19:12	+            chanFreqGHz.append(1e-9 * mytb.getcell('CHAN_FREQ',i))
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+        #      CAS-6801 changes
build	18-Sep-2019 23:19:12	+        mytb.open(antennaTable)
build	18-Sep-2019 23:19:12	+        msAnt = mytb.getcol('NAME')
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+        mytb.open(fieldTable)
build	18-Sep-2019 23:19:12	+        msFields = mytb.getcol('NAME')
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    # Now open the associated ms tables via msmd tool
build	18-Sep-2019 23:19:12	+#     msAnt = []  # comment this out when CAS-6801 changes are in place
build	18-Sep-2019 23:19:12	+    if (debug): print( "creating msmd tool")
build	18-Sep-2019 23:19:12	+    if (cu.compare_version('<',[4,1,0])):  
build	18-Sep-2019 23:19:12	+        print("This version of casa is too old to use the msmd tool.  Use au.plotbandpass instead.")
build	18-Sep-2019 23:19:12	+        return
build	18-Sep-2019 23:19:12	+    mymsmd = ''
build	18-Sep-2019 23:19:12	+    observatoryName = ''
build	18-Sep-2019 23:19:12	+    if (debug): print( "msName = %s." % (msName))
build	18-Sep-2019 23:19:12	+    if (os.path.exists(msName) or os.path.exists(os.path.dirname(caltable)+'/'+msName)):
build	18-Sep-2019 23:19:12	+        if (os.path.exists(msName) == False):
build	18-Sep-2019 23:19:12	+            msName = os.path.dirname(caltable)+'/'+msName
build	18-Sep-2019 23:19:12	+            if (debug): print( "found msName = %s." % (msName))
build	18-Sep-2019 23:19:12	+        if (cu.compare_version('<',[4,1,0])):
build	18-Sep-2019 23:19:12	+            print("This version of casa is too old to use the msmd tool.  Use au.plotbandpass instead.")
build	18-Sep-2019 23:19:12	+            return
build	18-Sep-2019 23:19:12	+        try:
build	18-Sep-2019 23:19:12	+            if (debug): print("Running mymsmd on %s..." % (msName))
build	18-Sep-2019 23:19:12	+            mymsmd = createCasaTool(msmdtool)
build	18-Sep-2019 23:19:12	+            mymsmd.open(msName)  # this is the only open (vis not specified, but it exists)
build	18-Sep-2019 23:19:12	+            donetime = timeUtilities.time()
build	18-Sep-2019 23:19:12	+            if (debug): print("%.1f sec elapsed" % (donetime-mytimestamp))
build	18-Sep-2019 23:19:12	+            mytimestamp = timeUtilities.time()
build	18-Sep-2019 23:19:12	+            if (debug): print("time = %s" % (str(mytimestamp)))
build	18-Sep-2019 23:19:12	+            msAnt = mymsmd.antennanames(range(mymsmd.nantennas()))
build	18-Sep-2019 23:19:12	+            if (debug): print("msAnt = %s" % (str(msAnt)))
build	18-Sep-2019 23:19:12	+#            msFields = mymsmd.namesforfields(range(mymsmd.nfields())) # bombs if split has been run on subset of fields
build	18-Sep-2019 23:19:12	+            msFields = mymsmd.namesforfields()
build	18-Sep-2019 23:19:12	+            observatoryName = mymsmd.observatorynames()[0]
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Available antennas = %s" % (str(msAnt)))
build	18-Sep-2019 23:19:12	+        except:
build	18-Sep-2019 23:19:12	+            print("1)Could not open the associated measurement set tables (%s). Will not translate antenna names or frequencies." % (msName))
build	18-Sep-2019 23:19:12	+            return
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (vis=='' and tableFormat < 34):
build	18-Sep-2019 23:19:12	+            print("Could not find the associated measurement set (%s). Will not translate antenna names or frequencies." % (msName))
build	18-Sep-2019 23:19:12	+        elif (vis != ''):
build	18-Sep-2019 23:19:12	+            # Use the ms name passed in from the command line
build	18-Sep-2019 23:19:12	+            msName = vis
build	18-Sep-2019 23:19:12	+# #          print("************* 2) Set msName to %s" % (msName))
build	18-Sep-2019 23:19:12	+            try:
build	18-Sep-2019 23:19:12	+                mymsmd = createCasaTool(msmdtool) 
build	18-Sep-2019 23:19:12	+                if (debug): print("Running msmd.open on %s" % (msName))
build	18-Sep-2019 23:19:12	+                mymsmd.open(msName) # this is the only open (vis specified)
build	18-Sep-2019 23:19:12	+                donetime = timeUtilities.time()
build	18-Sep-2019 23:19:12	+                if (debug): print("%.1f sec elapsed" % (donetime-mytimestamp))
build	18-Sep-2019 23:19:12	+                mytimestamp = timeUtilities.time()
build	18-Sep-2019 23:19:12	+                msAnt = mymsmd.antennanames(range(mymsmd.nantennas()))
build	18-Sep-2019 23:19:12	+#                msFields = mymsmd.namesforfields(range(mymsmd.nfields())) # bombs if split has been run on subset of fields
build	18-Sep-2019 23:19:12	+                msFields = mymsmd.namesforfields()
build	18-Sep-2019 23:19:12	+                observatoryName = mymsmd.observatorynames()[0]
build	18-Sep-2019 23:19:12	+                casalogPost(debug,"Available antennas = %s" % (str(msAnt)))
build	18-Sep-2019 23:19:12	+            except:
build	18-Sep-2019 23:19:12	+                print("1b) Could not open the associated measurement set tables (%s). Will not translate antenna names or channels to frequencies." % (msName))
build	18-Sep-2019 23:19:12	+    msFound =  False
build	18-Sep-2019 23:19:12	+    if (len(msAnt) > 0):
build	18-Sep-2019 23:19:12	+        msFound = True
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Fields in ms  = %s" % (str(msFields)))
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        msFields = []
build	18-Sep-2019 23:19:12	+    if (tableFormat == 33 and msFound):  # casa 3.3
build	18-Sep-2019 23:19:12	+        # Now open the associated ms tables via ValueMapping to figure out channel freqs
build	18-Sep-2019 23:19:12	+        chanFreqGHz = []
build	18-Sep-2019 23:19:12	+        for ictr in range(len(originalSpw)):
build	18-Sep-2019 23:19:12	+            if debug: print("ictr = %d" % (ictr))
build	18-Sep-2019 23:19:12	+            if debug: print("nspw = %d, np.max(originalSpw) = %d" % (getnspw(mymsmd),np.max(originalSpw)))
build	18-Sep-2019 23:19:12	+            if (getnspw(mymsmd) < np.max(originalSpw)): # waiting on CAS-4285
build	18-Sep-2019 23:19:12	+                # Then there was an extra split
build	18-Sep-2019 23:19:12	+                i = ictr
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                i = originalSpw[ictr]
build	18-Sep-2019 23:19:12	+            nchan = mymsmd.nchan(i)
build	18-Sep-2019 23:19:12	+            if (nchan > 1):
build	18-Sep-2019 23:19:12	+                missingFrequencyWidth = originalChannelStart[ictr]*(mymsmd.chanfreqs(i)[-1]-mymsmd.chanfreqs(i)[0])/(nchan-1)
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                missingFrequencyWidth = 0
build	18-Sep-2019 23:19:12	+            if (missingFrequencyWidth > 0):
build	18-Sep-2019 23:19:12	+                if (DEBUG):
build	18-Sep-2019 23:19:12	+                    print("Correcting for channels flagged prior to running bandpass by %f GHz" % (missingFrequencyWidth*1e-9))
build	18-Sep-2019 23:19:12	+            newfreqs = 1e-9*(mymsmd.chanfreqs(i)) + missingFrequencyWidth*1e-9
build	18-Sep-2019 23:19:12	+            if debug: print("Appending onto chanFreqGHz: %s" % (str(newfreqs)))
build	18-Sep-2019 23:19:12	+            chanFreqGHz.append(newfreqs)
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    uniqueSpwsInCalTable = np.unique(cal_desc_id)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    # initial calculation for final message if not all spws appear with overlay='antenna'
build	18-Sep-2019 23:19:12	+    uniqueTimes = sloppyUnique(np.unique(times), 1.0)
build	18-Sep-2019 23:19:12	+    nUniqueTimes = len(uniqueTimes)
build	18-Sep-2019 23:19:12	+    if (nUniqueTimes == 1):
build	18-Sep-2019 23:19:12	+        solutionTimeSpread = 0
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        solutionTimeSpread = np.max(uniqueTimes)-np.min(uniqueTimes)
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"Found solutions with %d unique times (within a threshold of 1.0 second)." % (nUniqueTimes))
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    uniqueTimes = sloppyUnique(np.unique(times), solutionTimeThresholdSeconds)
build	18-Sep-2019 23:19:12	+    nUniqueTimes = len(uniqueTimes)
build	18-Sep-2019 23:19:12	+    if (nUniqueTimes == 1):
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Found solutions with %d unique time (within a threshold of %d seconds)." % (nUniqueTimes,solutionTimeThresholdSeconds))
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Found solutions with %d unique times (within a threshold of %d seconds)." % (nUniqueTimes,solutionTimeThresholdSeconds))
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    scansForUniqueTimes = []
build	18-Sep-2019 23:19:12	+    if (tableFormat >= 34):
build	18-Sep-2019 23:19:12	+        if (len(unique_cal_scans) == 1):
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Found solutions with %d unique scan number %s" % (len(unique_cal_scans), str(unique_cal_scans)))
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Found solutions with %d unique scan numbers %s" % (len(unique_cal_scans), str(unique_cal_scans)))
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        scansForUniqueTimes, nUniqueTimes = computeScansForUniqueTimes(uniqueTimes, cal_scans, times, unique_cal_scans)
build	18-Sep-2019 23:19:12	+    elif (scans != ''):
build	18-Sep-2019 23:19:12	+        print("Selection by scan is not support for old-style tables that do not have the scan number filled.")
build	18-Sep-2019 23:19:12	+        return
build	18-Sep-2019 23:19:12	+    uniqueTimesCopy = uniqueTimes[:]
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    mystring = ''
build	18-Sep-2019 23:19:12	+    if (debug):
build	18-Sep-2019 23:19:12	+       for u in uniqueTimes:
build	18-Sep-2019 23:19:12	+           mystring += '%.6f, ' % (u)
build	18-Sep-2019 23:19:12	+       print(mystring)
build	18-Sep-2019 23:19:12	+    uniqueAntennaIds = np.unique(ant)
build	18-Sep-2019 23:19:12	+    uniqueFields = np.unique(fields)
build	18-Sep-2019 23:19:12	+    if (debug): print("uniqueFields = %s" % (str(uniqueFields)))
build	18-Sep-2019 23:19:12	+    nFields = len(uniqueFields)
build	18-Sep-2019 23:19:12	+    spwlist = []
build	18-Sep-2019 23:19:12	+    uniqueTimesPerFieldPerSpw = []
build	18-Sep-2019 23:19:12	+    for s in uniqueSpwsInCalTable:
build	18-Sep-2019 23:19:12	+        uniqueTimesPerField = []
build	18-Sep-2019 23:19:12	+        for f in uniqueFields:
build	18-Sep-2019 23:19:12	+            timelist = []
build	18-Sep-2019 23:19:12	+            for row in range(len(fields)):
build	18-Sep-2019 23:19:12	+                if (fields[row] == f and cal_desc_id[row] == s):
build	18-Sep-2019 23:19:12	+                    if (sloppyMatch(times[row], timelist, solutionTimeThresholdSeconds) == False):
build	18-Sep-2019 23:19:12	+                        timelist.append(times[row])
build	18-Sep-2019 23:19:12	+                        spwlist.append(cal_desc_id)
build	18-Sep-2019 23:19:12	+            uniqueTimesPerField.append(timelist)
build	18-Sep-2019 23:19:12	+        uniqueTimesPerFieldPerSpw.append(uniqueTimesPerField)
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (debug): print("about to call casalogPost")
build	18-Sep-2019 23:19:12	+    casalogPost(debug,displayTimesArray([[uniqueTimes]]))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # Parse the spws to plot from the command line
build	18-Sep-2019 23:19:12	+    if (spw==''):
build	18-Sep-2019 23:19:12	+       spwsToPlot = uniqueSpwsInCalTable
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+       if (type(spw) == str):
build	18-Sep-2019 23:19:12	+             if (spw.find('!')>=0):
build	18-Sep-2019 23:19:12	+                   print("The ! modifier is not (yet) supported")
build	18-Sep-2019 23:19:12	+                   return()
build	18-Sep-2019 23:19:12	+             tokens = spw.split(',')
build	18-Sep-2019 23:19:12	+             spwsToPlot = []
build	18-Sep-2019 23:19:12	+             for token in tokens:
build	18-Sep-2019 23:19:12	+                   if (len(token) > 0):
build	18-Sep-2019 23:19:12	+                         if (token.find('*')>=0):
build	18-Sep-2019 23:19:12	+                               spwsToPlot = uniqueSpwsInCalTable
build	18-Sep-2019 23:19:12	+                               break
build	18-Sep-2019 23:19:12	+                         elif (token.find('~')>0):
build	18-Sep-2019 23:19:12	+                               (start,finish) = token.split('~')
build	18-Sep-2019 23:19:12	+                               spwsToPlot +=  range(int(start),int(finish)+1)
build	18-Sep-2019 23:19:12	+                         else:
build	18-Sep-2019 23:19:12	+                               spwsToPlot.append(int(token))
build	18-Sep-2019 23:19:12	+       elif (type(spw) == list):
build	18-Sep-2019 23:19:12	+           spwsToPlot = np.sort(spw)
build	18-Sep-2019 23:19:12	+       else:
build	18-Sep-2019 23:19:12	+           spwsToPlot = [spw]
build	18-Sep-2019 23:19:12	+           
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"%d spw%s in the solution = %s" % (len(uniqueSpwsInCalTable), plural(uniqueSpwsInCalTable), str(uniqueSpwsInCalTable)))
build	18-Sep-2019 23:19:12	+    keepSpwsToPlot = spwsToPlot[:]
build	18-Sep-2019 23:19:12	+    for myspw in spwsToPlot:
build	18-Sep-2019 23:19:12	+        if (myspw not in uniqueSpwsInCalTable):
build	18-Sep-2019 23:19:12	+            print("WARNING: spw %d is not in the solution. Removing it from the list to plot." % (myspw))
build	18-Sep-2019 23:19:12	+            print("Available spws = ", uniqueSpwsInCalTable)
build	18-Sep-2019 23:19:12	+            keepSpwsToPlot.remove(myspw)
build	18-Sep-2019 23:19:12	+            if (cu.compare_version('>=',[4,1,0]) and mymsmd != ''):  
build	18-Sep-2019 23:19:12	+# #              nonwvrspws = list(set(range(mymsmd.nspw())).difference(set(mymsmd.wvrspws())))
build	18-Sep-2019 23:19:12	+                if (myspw not in range(mymsmd.nspw())):
build	18-Sep-2019 23:19:12	+                    print("FATAL: spw %d is not even in the ms.  There might be a bug in your script." % (myspw))
build	18-Sep-2019 23:19:12	+                    return
build	18-Sep-2019 23:19:12	+                elif (myspw in mymsmd.wvrspws()):
build	18-Sep-2019 23:19:12	+                    print("WARNING: spw %d is a WVR spw." % (myspw))
build	18-Sep-2019 23:19:12	+                    return
build	18-Sep-2019 23:19:12	+    spwsToPlot = keepSpwsToPlot[:]
build	18-Sep-2019 23:19:12	+    if (spwsToPlot == []):
build	18-Sep-2019 23:19:12	+        print("FATAL: no spws to plot")
build	18-Sep-2019 23:19:12	+        return
build	18-Sep-2019 23:19:12	+    originalSpwsToPlot = computeOriginalSpwsToPlot(spwsToPlot, originalSpw, tableFormat, debug)
build	18-Sep-2019 23:19:12	+           
build	18-Sep-2019 23:19:12	+    # Now generate the list of minimal basebands that contain the spws to be plotted
build	18-Sep-2019 23:19:12	+    if (cu.compare_version('>=',[4,1,0]) and msFound):
build	18-Sep-2019 23:19:12	+        allBasebands = []
build	18-Sep-2019 23:19:12	+        if (mymsmd != ''):
build	18-Sep-2019 23:19:12	+          try:
build	18-Sep-2019 23:19:12	+            for spw in originalSpwsToPlot:
build	18-Sep-2019 23:19:12	+                mybaseband = mymsmd.baseband(spw)
build	18-Sep-2019 23:19:12	+                if (debug): print("appending: spw=%d -> bb=%d" % (spw,mybaseband))
build	18-Sep-2019 23:19:12	+                allBasebands.append(mybaseband)
build	18-Sep-2019 23:19:12	+            allBasebands = np.unique(allBasebands)
build	18-Sep-2019 23:19:12	+            basebandDict = getBasebandDict(msName,caltable=caltable,mymsmd=mymsmd)  # needed later by showFDM()
build	18-Sep-2019 23:19:12	+          except:
build	18-Sep-2019 23:19:12	+            basebandDict = {}
build	18-Sep-2019 23:19:12	+            print("This dataset (%s) does not have a BBC_NO column in the SPECTRAL_WINDOW_TABLE." % (msName))
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            basebandDict = {}
build	18-Sep-2019 23:19:12	+            telescopeName = getTelescopeNameFromCaltable(caltable)
build	18-Sep-2019 23:19:12	+            print("Measurement set not found.")
build	18-Sep-2019 23:19:12	+        if (basebandDict == {}):
build	18-Sep-2019 23:19:12	+            if (overlay.find('spw') >= 0):
build	18-Sep-2019 23:19:12	+                print("As such, since the ms cannot be found, overlay='spw' is not supported, but overlay='baseband' should work.")
build	18-Sep-2019 23:19:12	+                return
build	18-Sep-2019 23:19:12	+            elif (showfdm):
build	18-Sep-2019 23:19:12	+                print("As such, since the ms cannot be found, showfdm=True is not supported.")
build	18-Sep-2019 23:19:12	+                return
build	18-Sep-2019 23:19:12	+            elif (showBasebandNumber):
build	18-Sep-2019 23:19:12	+                print("As such, since the ms cannot be found, showBasebandNumber=True is not supported.")
build	18-Sep-2019 23:19:12	+                return
build	18-Sep-2019 23:19:12	+    elif (msFound==False):
build	18-Sep-2019 23:19:12	+        allBasebands = [1,2,3,4]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        basebandDict = getBasebandDict(msName,caltable=caltable,mymsmd=mymsmd)  # needed later by showFDM()
build	18-Sep-2019 23:19:12	+        allBasebands = []
build	18-Sep-2019 23:19:12	+        for spw in originalSpwsToPlot:
build	18-Sep-2019 23:19:12	+            mybaseband = [key for key in basebandDict if spw in basebandDict[key]]
build	18-Sep-2019 23:19:12	+            if (len(mybaseband)>0): allBasebands.append(mybaseband[0])
build	18-Sep-2019 23:19:12	+        allBasebands = np.unique(allBasebands)
build	18-Sep-2019 23:19:12	+        if (allBasebands == []):
build	18-Sep-2019 23:19:12	+            allBasebands = [1,2,3,4]
build	18-Sep-2019 23:19:12	+    if (debug):
build	18-Sep-2019 23:19:12	+        print("================ allBasebands = ", allBasebands)
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+    if (basebands == None or basebands == [] or basebands == ''):
build	18-Sep-2019 23:19:12	+        basebands = allBasebands
build	18-Sep-2019 23:19:12	+    elif (type(basebands) == str):
build	18-Sep-2019 23:19:12	+        basebands = [int(s) for s in basebands.split(',')]
build	18-Sep-2019 23:19:12	+    elif (type(basebands) != list):
build	18-Sep-2019 23:19:12	+        # it is a single integer
build	18-Sep-2019 23:19:12	+        basebands = [basebands]
build	18-Sep-2019 23:19:12	+    for baseband in basebands:
build	18-Sep-2019 23:19:12	+        if (baseband not in allBasebands):
build	18-Sep-2019 23:19:12	+            print("Baseband %d is not in the dataset (only %s)" % (baseband,str(allBasebands)))
build	18-Sep-2019 23:19:12	+            return
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+    if (msFound):
build	18-Sep-2019 23:19:12	+        msFieldsList = str(np.array(msFields)[uniqueFields])
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        msFieldsList = 'unknown'
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"%d field(s) in the solution = %s = %s" % (len(uniqueFields), uniqueFields,msFieldsList))
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    # Figure out which kind of Bandpass solution this is.
build	18-Sep-2019 23:19:12	+    bOverlay = False  # Am I trying to overlay a second B-type solution?
build	18-Sep-2019 23:19:12	+    if (os.path.exists(caltable) == False):
build	18-Sep-2019 23:19:12	+          print("Caltable does not exist = %s" % (caltable))
build	18-Sep-2019 23:19:12	+          return()
build	18-Sep-2019 23:19:12	+    try:
build	18-Sep-2019 23:19:12	+        ([polyMode, polyType, nPolyAmp, nPolyPhase, scaleFactor, nRows, nSpws, nUniqueTimesBP, uniqueTimesBP,
build	18-Sep-2019 23:19:12	+# #        nPolarizations,
build	18-Sep-2019 23:19:12	+          frequencyLimits, increments, frequenciesGHz, polynomialPhase,
build	18-Sep-2019 23:19:12	+          polynomialAmplitude, timesBP, antennasBP, cal_desc_idBP, spwBP]) = openBpolyFile(caltable,debug)
build	18-Sep-2019 23:19:12	+        bpoly = True
build	18-Sep-2019 23:19:12	+        bpolyOverlay = bpolyOverlay2 = False
build	18-Sep-2019 23:19:12	+        if (xaxis.find('chan') >= 0):
build	18-Sep-2019 23:19:12	+            print("Sorry, but BPOLY solutions cannot be plotted with xaxis='chan'. Proceeding with xaxis='freq'.")
build	18-Sep-2019 23:19:12	+            xaxis = 'freq'
build	18-Sep-2019 23:19:12	+        if (chanrange[0] != 0 or chanrange[1] != 0 or chanrangePercent != None):
build	18-Sep-2019 23:19:12	+            print("The chanrange parameter only applies if the first caltable is a B solution, not a BPOLY.")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        if (len(caltable2) > 0):
build	18-Sep-2019 23:19:12	+            try:
build	18-Sep-2019 23:19:12	+                # figure out if the next file is a BPOLY or another B solution to pick the proper error message.
build	18-Sep-2019 23:19:12	+                ([polyMode, polyType, nPolyAmp, nPolyPhase, scaleFactor, nRows, nSpws, nUniqueTimesBP, uniqueTimesBP,
build	18-Sep-2019 23:19:12	+# #                nPolarizations,
build	18-Sep-2019 23:19:12	+                  frequencyLimits, increments, frequenciesGHz, polynomialPhase,
build	18-Sep-2019 23:19:12	+                  polynomialAmplitude, timesBP, antennasBP, cal_desc_idBP, spwBP]) = openBpolyFile(caltable2,debug)
build	18-Sep-2019 23:19:12	+                print("Sorry, but you cannot overlay two BPOLY solutions (unless caltable is a B solution and caltable2 and 3 are BPOLYs).")
build	18-Sep-2019 23:19:12	+            except:
build	18-Sep-2019 23:19:12	+                print("Sorry, but for overlays, caltable must be a B solution, whlie caltable2 and 3 can be either type.")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+    except:
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"This is a %s solution." % (VisCal))
build	18-Sep-2019 23:19:12	+        bpoly = bpolyOverlay = bpolyOverlay2 = False
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+        # Now check if there is a second file to overlay
build	18-Sep-2019 23:19:12	+        if (len(caltable2) > 0):
build	18-Sep-2019 23:19:12	+          if (os.path.exists(caltable2) == False):
build	18-Sep-2019 23:19:12	+                print("Caltable2 does not exist = %s" % (caltable2))
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+          try:
build	18-Sep-2019 23:19:12	+            # figure out if the next file is a BPOLY or another B solution
build	18-Sep-2019 23:19:12	+            ([polyMode, polyType, nPolyAmp, nPolyPhase, scaleFactor, nRows, nSpws, nUniqueTimesBP, uniqueTimesBP,
build	18-Sep-2019 23:19:12	+# #            nPolarizations,
build	18-Sep-2019 23:19:12	+              frequencyLimits, increments, frequenciesGHz, polynomialPhase,
build	18-Sep-2019 23:19:12	+              polynomialAmplitude, timesBP, antennasBP, cal_desc_idBP, spwBP]) = openBpolyFile(caltable2,debug)
build	18-Sep-2019 23:19:12	+            bpolyOverlay = True
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Overlay the BPOLY solution")
build	18-Sep-2019 23:19:12	+            if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:12	+                print("Sorry, but overlap of BPOLY is currently possible only with xaxis='freq'")
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+            if (len(caltable3) > 0):
build	18-Sep-2019 23:19:12	+               if (os.path.exists(caltable3) == False):
build	18-Sep-2019 23:19:12	+                     print("Caltable3 does not exist = %s" % (caltable3))
build	18-Sep-2019 23:19:12	+                     return()
build	18-Sep-2019 23:19:12	+               bpolyOverlay2 = True
build	18-Sep-2019 23:19:12	+               casalogPost(debug,"Overlay the second BPOLY solution")
build	18-Sep-2019 23:19:12	+               ([polyMode2, polyType2, nPolyAmp2, nPolyPhase2, scaleFactor2, nRows2, nSpws2,
build	18-Sep-2019 23:19:12	+                 nUniqueTimesBP2, uniqueTimesBP2,
build	18-Sep-2019 23:19:12	+# #               nPolarizations2,
build	18-Sep-2019 23:19:12	+                 frequencyLimits2, increments2, frequenciesGHz2, polynomialPhase2,
build	18-Sep-2019 23:19:12	+                 polynomialAmplitude2, timesBP2, antennasBP2, cal_desc_idBP2, spwBP2]) = openBpolyFile(caltable3,debug)
build	18-Sep-2019 23:19:12	+          except:
build	18-Sep-2019 23:19:12	+              # this is another B solution
build	18-Sep-2019 23:19:12	+              casalogPost(debug,"Overlay another %s solution" % (VisCal))
build	18-Sep-2019 23:19:12	+              bOverlay = True
build	18-Sep-2019 23:19:12	+              if (xaxis.find('freq')<0):
build	18-Sep-2019 23:19:12	+                    print("Currently, you must use xaxis='freq' to overlay two B solutions.")
build	18-Sep-2019 23:19:12	+                    return()
build	18-Sep-2019 23:19:12	+              if (len(caltable3) > 0):
build	18-Sep-2019 23:19:12	+                    print("You cannot overlay caltable3 because caltable2 is a B solution.")
build	18-Sep-2019 23:19:12	+                    return()
build	18-Sep-2019 23:19:12	+        elif (len(caltable3) > 0):
build	18-Sep-2019 23:19:12	+            print("You cannot have a caltable3 argument without a caltable2 argument.")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+            
build	18-Sep-2019 23:19:12	+    if (overlay.find('antenna')>=0):
build	18-Sep-2019 23:19:12	+        overlayAntennas = True
build	18-Sep-2019 23:19:12	+        if (bpoly == True):
build	18-Sep-2019 23:19:12	+              print("The overlay of times or antennas is not supported with BPOLY solutions")
build	18-Sep-2019 23:19:12	+              return()
build	18-Sep-2019 23:19:12	+        if (len(caltable2)>0):
build	18-Sep-2019 23:19:12	+              print("The overlay of times or antennas not supported when overlaying a B or BPOLY solution")
build	18-Sep-2019 23:19:12	+              return()
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Will overlay solutions from different antennas")
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        overlayAntennas = False
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (overlay.find('time')>=0):
build	18-Sep-2019 23:19:12	+        overlayTimes = True
build	18-Sep-2019 23:19:12	+        if (bpoly == True):
build	18-Sep-2019 23:19:12	+              print("The overlay of times or antennas is not supported with BPOLY solutions")
build	18-Sep-2019 23:19:12	+              return()
build	18-Sep-2019 23:19:12	+        if (len(caltable2)>0):
build	18-Sep-2019 23:19:12	+              print("The overlay of times or antennas not supported when overlaying a B or BPOLY solution")
build	18-Sep-2019 23:19:12	+              return()
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Will overlay solutions from different times")
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        overlayTimes = False
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+    if (overlay.find('spw')>=0):
build	18-Sep-2019 23:19:12	+        if (tableFormat < 34):
build	18-Sep-2019 23:19:12	+            print("Overlay spw may not work reliably for old cal tables")
build	18-Sep-2019 23:19:12	+        overlaySpws = True
build	18-Sep-2019 23:19:12	+        if (bpoly == True):
build	18-Sep-2019 23:19:12	+              print("The overlay of times, antennas, or spws is not supported with BPOLY solutions")
build	18-Sep-2019 23:19:12	+              return(vm)
build	18-Sep-2019 23:19:12	+        if (len(caltable2)>0):
build	18-Sep-2019 23:19:12	+              print("The overlay of times, antennas, or spws not supported when overlaying a B or BPOLY solution")
build	18-Sep-2019 23:19:12	+              return(vm)
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Will overlay solutions from different spws within a baseband")
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        overlaySpws = False
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+    if (overlay.find('baseband')>=0):
build	18-Sep-2019 23:19:12	+        if (tableFormat < 34):
build	18-Sep-2019 23:19:12	+            print("Overlay baseband may not work reliably for old cal tables")
build	18-Sep-2019 23:19:12	+        overlayBasebands = True
build	18-Sep-2019 23:19:12	+        if (bpoly == True):
build	18-Sep-2019 23:19:12	+              print("The overlay of times, antennas, spws, or basebands is not supported with BPOLY solutions")
build	18-Sep-2019 23:19:12	+              return(vm)
build	18-Sep-2019 23:19:12	+        if (len(caltable2)>0):
build	18-Sep-2019 23:19:12	+              print("The overlay of times, antennas, spws, or basebands not supported when overlaying a B or BPOLY solution")
build	18-Sep-2019 23:19:12	+              return(vm)
build	18-Sep-2019 23:19:12	+        casalogPost(debug,"Will overlay solutions from all spws regardless of baseband")
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        overlayBasebands = False
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    if (bOverlay):        
build	18-Sep-2019 23:19:12	+          # Now open the Bandpass solution table
build	18-Sep-2019 23:19:12	+          try:
build	18-Sep-2019 23:19:12	+                mytb.open(caltable2)
build	18-Sep-2019 23:19:12	+          except:
build	18-Sep-2019 23:19:12	+                print("Could not open the second caltable = %s" % (caltable2))
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+          names = mytb.colnames()
build	18-Sep-2019 23:19:12	+          ant2 = mytb.getcol('ANTENNA1')
build	18-Sep-2019 23:19:12	+          fields2 = mytb.getcol('FIELD_ID')
build	18-Sep-2019 23:19:12	+          times2 = mytb.getcol('TIME')
build	18-Sep-2019 23:19:12	+          if ('SPECTRAL_WINDOW_ID' not in names):
build	18-Sep-2019 23:19:12	+              if ('SNR' not in names):
build	18-Sep-2019 23:19:12	+                  print("This does not appear to be a cal table.")
build	18-Sep-2019 23:19:12	+                  return()
build	18-Sep-2019 23:19:12	+              else:
build	18-Sep-2019 23:19:12	+                  tableFormat2 = 33
build	18-Sep-2019 23:19:12	+                  casalogPost(debug,"This appears to be an old-format cal table from casa 3.3 or earlier.")
build	18-Sep-2019 23:19:12	+                  cal_desc_id2 = mytb.getcol('CAL_DESC_ID')
build	18-Sep-2019 23:19:12	+                  VisCal2 = (mytb.info())['subType']
build	18-Sep-2019 23:19:12	+                  mytb.close()
build	18-Sep-2019 23:19:12	+                  ParType = "unknown"  # i.e. not Complex
build	18-Sep-2019 23:19:12	+                  calDesc2 = mytb.open(caltable2+'/CAL_DESC')
build	18-Sep-2019 23:19:12	+                  originalSpws2 = mytb.getcol('SPECTRAL_WINDOW_ID')  # [[0,1,2,3]]
build	18-Sep-2019 23:19:12	+                  originalSpw2 = originalSpws2[0]                   # [0,1,2,3]
build	18-Sep-2019 23:19:12	+                  msName2 = mytb.getcol('MS_NAME')[0]
build	18-Sep-2019 23:19:12	+                  mytb.close()
build	18-Sep-2019 23:19:12	+                  # Now open the associated ms tables via ValueMapping to figure out channel freqs
build	18-Sep-2019 23:19:12	+                  chanFreqGHz2 = []
build	18-Sep-2019 23:19:12	+                  for ictr in range(len(originalSpw2)):
build	18-Sep-2019 23:19:12	+                      if debug: print("ictr = %d" % (ictr))
build	18-Sep-2019 23:19:12	+                      if debug: print("nspw = %d, np.max(originalSpw) = %d" % (getnspw(mymsmd),np.max(originalSpw2)))
build	18-Sep-2019 23:19:12	+                      if (getnspw(mymsmd) < np.max(originalSpw2)):
build	18-Sep-2019 23:19:12	+                          # Then there was an extra split
build	18-Sep-2019 23:19:12	+                          i = ictr
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          i = originalSpw2[ictr]
build	18-Sep-2019 23:19:12	+                      nchan = mymsmd.nchan(i)
build	18-Sep-2019 23:19:12	+                      if (nchan > 1):
build	18-Sep-2019 23:19:12	+                          missingFrequencyWidth = originalChannelStart[ictr]*(mymsmd.chanfreqs(i)[-1]-mymsmd.chanfreqs(i)[0])/(nchan-1)
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          missingFrequencyWidth = 0
build	18-Sep-2019 23:19:12	+                      if (missingFrequencyWidth > 0):
build	18-Sep-2019 23:19:12	+                          if (DEBUG):
build	18-Sep-2019 23:19:12	+                              print("Correcting for channels flagged prior to running bandpass by %f GHz" % (missingFrequencyWidth*1e-9))
build	18-Sep-2019 23:19:12	+                      newfreqs = 1e-9*(mymsmd.chanfreqs(i)) + missingFrequencyWidth*1e-9
build	18-Sep-2019 23:19:12	+                      if debug: print("Appending onto chanFreqGHz2: %s" % (str(newfreqs)))
build	18-Sep-2019 23:19:12	+                      chanFreqGHz2.append(newfreqs)
build	18-Sep-2019 23:19:12	+          else:
build	18-Sep-2019 23:19:12	+              tableFormat2 = 34
build	18-Sep-2019 23:19:12	+              cal_desc_id2 = mytb.getcol('SPECTRAL_WINDOW_ID')
build	18-Sep-2019 23:19:12	+              msName2 = mytb.getkeyword('MSName')      
build	18-Sep-2019 23:19:12	+              ParType2 = mytb.getkeyword('ParType')    # string = 'Complex'
build	18-Sep-2019 23:19:12	+              VisCal2 = mytb.getkeyword('VisCal')      # string = 'B TSYS'
build	18-Sep-2019 23:19:12	+              PolBasis2 = mytb.getkeyword('PolBasis')  # string = 'LINEAR'
build	18-Sep-2019 23:19:12	+              spectralWindowTable2 = mytb.getkeyword('SPECTRAL_WINDOW').split()[1]
build	18-Sep-2019 23:19:12	+              mytb.close()
build	18-Sep-2019 23:19:12	+              mytb.open(spectralWindowTable2)
build	18-Sep-2019 23:19:12	+              chanFreqGHz2 = []
build	18-Sep-2019 23:19:12	+              originalSpws2 = range(len(mytb.getcol('MEAS_FREQ_REF')))
build	18-Sep-2019 23:19:12	+              for i in originalSpws2:
build	18-Sep-2019 23:19:12	+                  # The array shapes can vary.
build	18-Sep-2019 23:19:12	+                  chanFreqGHz2.append(1e-9 * mytb.getcell('CHAN_FREQ',i))
build	18-Sep-2019 23:19:12	+              originalSpws2 = range(len(mytb.getcol('MEAS_FREQ_REF')))
build	18-Sep-2019 23:19:12	+              originalSpw2 = originalSpws2  # may want to do a global replace of this <----------------------------------
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+          uniqueSpwsInCalTable2 = np.unique(cal_desc_id2)
build	18-Sep-2019 23:19:12	+          mytb.open(caltable2)
build	18-Sep-2019 23:19:12	+          try:
build	18-Sep-2019 23:19:12	+              flags2 = {}
build	18-Sep-2019 23:19:12	+              for f in range(len(fields2)):
build	18-Sep-2019 23:19:12	+                  flags2[f] = mytb.getcell('FLAG',f)
build	18-Sep-2019 23:19:12	+          except:
build	18-Sep-2019 23:19:12	+              print("bOverlay: No Flag column found. Are you sure this is a bandpass solution file, or is it the .ms?")
build	18-Sep-2019 23:19:12	+              print("If it is a solution file, does it contain solutions for both TDM and FDM spws?")
build	18-Sep-2019 23:19:12	+              return()
build	18-Sep-2019 23:19:12	+          uniqueTimes2 = sloppyUnique(np.unique(times2), solutionTimeThresholdSeconds)
build	18-Sep-2019 23:19:12	+          nUniqueTimes2 = len(uniqueTimes2)
build	18-Sep-2019 23:19:12	+# #        print("Found %d solutions in time: MJD seconds = " % (nUniqueTimes2), uniqueTimes2)
build	18-Sep-2019 23:19:12	+          spacing = ''
build	18-Sep-2019 23:19:12	+          for i in range(1,nUniqueTimes2):
build	18-Sep-2019 23:19:12	+              spacing += '%.0f, ' % (np.abs(uniqueTimes2[i]-uniqueTimes2[i-1]))
build	18-Sep-2019 23:19:12	+          casalogPost(debug,"Found %d solutions in time, spaced by seconds: %s" % (nUniqueTimes2, str(spacing)))
build	18-Sep-2019 23:19:12	+          casalogPost(debug,displayTimesArray([[uniqueTimes2]]))
build	18-Sep-2019 23:19:12	+          uniqueAntennaIds2 = np.unique(ant2)
build	18-Sep-2019 23:19:12	+          uniqueFields2 = np.unique(fields2)
build	18-Sep-2019 23:19:12	+          nFields2 = len(uniqueFields2)
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+          casalogPost(debug,"(boverlay) original unique spws in the second dataset = %s" % (str(np.unique(originalSpw2))))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+          uniqueTimesPerFieldPerSpw2 = []
build	18-Sep-2019 23:19:12	+          for s in uniqueSpwsInCalTable2:
build	18-Sep-2019 23:19:12	+            uniqueTimesPerField2 = []
build	18-Sep-2019 23:19:12	+            for f in uniqueFields2:
build	18-Sep-2019 23:19:12	+                timelist2 = []
build	18-Sep-2019 23:19:12	+                for row in range(len(fields2)):
build	18-Sep-2019 23:19:12	+                      if (fields2[row] == f and cal_desc_id2[row] == s):
build	18-Sep-2019 23:19:12	+                            if (sloppyMatch(times2[row], timelist2, solutionTimeThresholdSeconds) == False):
build	18-Sep-2019 23:19:12	+                                  timelist2.append(times2[row])
build	18-Sep-2019 23:19:12	+                uniqueTimesPerField2.append(timelist2)
build	18-Sep-2019 23:19:12	+            uniqueTimesPerFieldPerSpw2.append(uniqueTimesPerField2)
build	18-Sep-2019 23:19:12	+          casalogPost(debug,"uniqueTimesPerFieldPerSpw2 = %s" % (displayTimesArray(uniqueTimesPerFieldPerSpw2)))
build	18-Sep-2019 23:19:12	+          casalogPost(debug,"%d spw%s in the second solution = %s" % (len(uniqueSpwsInCalTable2), plural(uniqueSpwsInCalTable2), str(uniqueSpwsInCalTable2)))
build	18-Sep-2019 23:19:12	+          if (msFound):
build	18-Sep-2019 23:19:12	+              msFieldsList = str(np.array(msFields)[uniqueFields2])
build	18-Sep-2019 23:19:12	+          else:
build	18-Sep-2019 23:19:12	+              msFieldsList = 'unknown'
build	18-Sep-2019 23:19:12	+          casalogPost(debug,"%d field(s) in the solution = %s = %s" % (len(uniqueFields2), uniqueFields2, msFieldsList))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # Parse the timeranges field from the command line
build	18-Sep-2019 23:19:12	+    if timeranges != '':    # CAS-8439
build	18-Sep-2019 23:19:12	+        timerangesWasSpecified = True
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        timerangesWasSpecified = False
build	18-Sep-2019 23:19:12	+    if (type(timeranges) == str):
build	18-Sep-2019 23:19:12	+        # a list of antenna numbers was given
build	18-Sep-2019 23:19:12	+        tokens = timeranges.split(',')
build	18-Sep-2019 23:19:12	+        timerangeList = []
build	18-Sep-2019 23:19:12	+        removeTime = []
build	18-Sep-2019 23:19:12	+        for token in tokens:
build	18-Sep-2019 23:19:12	+            if (len(token) > 0):
build	18-Sep-2019 23:19:12	+                if (token.find('!')==0):
build	18-Sep-2019 23:19:12	+                    timerangeList = range(len(uniqueTimes))
build	18-Sep-2019 23:19:12	+                    removeTime.append(int(token[1:]))
build	18-Sep-2019 23:19:12	+                elif (token.find('~')>0):
build	18-Sep-2019 23:19:12	+                    (start,finish) = token.split('~')
build	18-Sep-2019 23:19:12	+                    timerangeList +=  range(int(start),int(finish)+1)
build	18-Sep-2019 23:19:12	+                else:
build	18-Sep-2019 23:19:12	+                    timerangeList.append(int(token))
build	18-Sep-2019 23:19:12	+        timerangeList = np.array(timerangeList)
build	18-Sep-2019 23:19:12	+        for rt in removeTime:
build	18-Sep-2019 23:19:12	+            timerangeList = timerangeList[np.where(timerangeList != rt)[0]]
build	18-Sep-2019 23:19:12	+        timerangeList = list(timerangeList)
build	18-Sep-2019 23:19:12	+        if (len(timerangeList) < 1):
build	18-Sep-2019 23:19:12	+            if (len(removeTime) > 0):
build	18-Sep-2019 23:19:12	+                print("Too many negated timeranges -- there are none left to plot.")
build	18-Sep-2019 23:19:12	+                return
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                # then a blank list was specified
build	18-Sep-2019 23:19:12	+                timerangeList = range(len(uniqueTimes))
build	18-Sep-2019 23:19:12	+    elif (type(timeranges) == list):
build	18-Sep-2019 23:19:12	+        # it's already a list of integers
build	18-Sep-2019 23:19:12	+        timerangeList = timeranges
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        # It's a single, integer entry
build	18-Sep-2019 23:19:12	+        timerangeList = [timeranges]
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (timerangesWasSpecified and scans != ''):  # CAS-8489
build	18-Sep-2019 23:19:12	+        if (type(scans) == list or type(scans) == np.ndarray):
build	18-Sep-2019 23:19:12	+            myscan = int(scans[0])
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            myscan = int(str(scans).split(',')[0])
build	18-Sep-2019 23:19:12	+        if (myscan not in scansForUniqueTimes):
build	18-Sep-2019 23:19:12	+            print("No rows for scan %d, only " % (myscan), np.unique(scansForUniqueTimes))
build	18-Sep-2019 23:19:12	+            return
build	18-Sep-2019 23:19:12	+        timerangeOffset = scansForUniqueTimes.index(myscan)
build	18-Sep-2019 23:19:12	+        timerangeList = np.array(timerangeList) + timerangeOffset
build	18-Sep-2019 23:19:12	+        if (debug): print("Since both timeranges and scans was specified, generated new effective timerangeList: ", timerangeList)
build	18-Sep-2019 23:19:12	+    if (max(timerangeList) >= len(uniqueTimes)):
build	18-Sep-2019 23:19:12	+        print("Invalid timerange.  Solution has %d times (%d~%d)" % (len(uniqueTimes),0,len(uniqueTimes)-1))
build	18-Sep-2019 23:19:12	+        return
build	18-Sep-2019 23:19:12	+    timerangeListTimes = np.array(uniqueTimes)[timerangeList]
build	18-Sep-2019 23:19:12	+    timerangeListTimesString = mjdsecArrayToUTString(timerangeListTimes)
build	18-Sep-2019 23:19:12	+    if (tableFormat == 33 or scansForUniqueTimes == []):
build	18-Sep-2019 23:19:12	+        # SMA data with scan numbers of -1 has empty list for scansForUniqueTimes
build	18-Sep-2019 23:19:12	+        scansToPlot = []
build	18-Sep-2019 23:19:12	+        if (scans != ''):
build	18-Sep-2019 23:19:12	+            print("Selection by scan is not possible for this dataset.")
build	18-Sep-2019 23:19:12	+            return
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (debug): print("scansForUniqueTimes = %s" % (str(scansForUniqueTimes)))
build	18-Sep-2019 23:19:12	+        scansToPlot = np.array(scansForUniqueTimes)[timerangeList]
build	18-Sep-2019 23:19:12	+        if (np.unique(scansToPlot)[0] == -1):
build	18-Sep-2019 23:19:12	+            # scan numbers are not correct in this new-style cal table
build	18-Sep-2019 23:19:12	+            scansToPlot = []
build	18-Sep-2019 23:19:12	+            if (scans != ''):
build	18-Sep-2019 23:19:12	+                print("Selection by scan number is not possible with this dataset.")
build	18-Sep-2019 23:19:12	+                return
build	18-Sep-2019 23:19:12	+        if (scans != '' and scans != []):
build	18-Sep-2019 23:19:12	+            if (type(scans) == list):
build	18-Sep-2019 23:19:12	+                scansToPlot = scans
build	18-Sep-2019 23:19:12	+            elif (type(scans) == str):
build	18-Sep-2019 23:19:12	+                scansToPlot = [int(a) for a in scans.split(',')]
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                scansToPlot = [scans]
build	18-Sep-2019 23:19:12	+            for scan in scansToPlot:
build	18-Sep-2019 23:19:12	+                if (scan not in scansForUniqueTimes):
build	18-Sep-2019 23:19:12	+                    print("Scan %d is not in any solution" % (scan))
build	18-Sep-2019 23:19:12	+                    return
build	18-Sep-2019 23:19:12	+    scansToPlotPerSpw = {}
build	18-Sep-2019 23:19:12	+    for myspw in np.unique(cal_desc_id):
build	18-Sep-2019 23:19:12	+        scansToPlotPerSpw[myspw] = []
build	18-Sep-2019 23:19:12	+    for scan in scansToPlot:
build	18-Sep-2019 23:19:12	+        for myspw in np.unique(cal_desc_id):
build	18-Sep-2019 23:19:12	+            if (scan in cal_scans_per_spw[myspw]):
build	18-Sep-2019 23:19:12	+                scansToPlotPerSpw[myspw].append(scan)
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    # remove spws that do not have any scans to be plotted
build	18-Sep-2019 23:19:12	+    # but only for tables that have a scan number column, and not filled with all -1
build	18-Sep-2019 23:19:12	+    if (tableFormat > 33 and scansForUniqueTimes != []):
build	18-Sep-2019 23:19:12	+        for myspw in np.unique(cal_desc_id):
build	18-Sep-2019 23:19:12	+            if (debug):
build	18-Sep-2019 23:19:12	+                print("scans to plot for spw %d: %s" % (myspw, scansToPlotPerSpw[myspw]))
build	18-Sep-2019 23:19:12	+            if (scansToPlotPerSpw[myspw] == []):
build	18-Sep-2019 23:19:12	+                indexDelete = np.where(spwsToPlot==myspw)[0]
build	18-Sep-2019 23:19:12	+                if (len(indexDelete) > 0):
build	18-Sep-2019 23:19:12	+                    spwsToPlot = np.delete(spwsToPlot, indexDelete[0])
build	18-Sep-2019 23:19:12	+        print("spwsToPlot = ", spwsToPlot)
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"scans to plot: %s" % (str(scansToPlot)))
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"UT times to plot: %s" % (timerangeListTimesString))
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"Corresponding time IDs (0-based): %s" % (str(timerangeList)))
build	18-Sep-2019 23:19:12	+    if (len(timerangeListTimes) > len(np.unique(scansToPlot))):
build	18-Sep-2019 23:19:12	+        # fix for CAS-9474
build	18-Sep-2019 23:19:12	+        uniqueScansToPlot, idx = np.unique(scansToPlot, return_index=True)
build	18-Sep-2019 23:19:12	+        if (len(uniqueScansToPlot) < len(scansToPlot)):
build	18-Sep-2019 23:19:12	+            # If the solution time for one spw differs by more than solutionTimeThresholdSeconds from
build	18-Sep-2019 23:19:12	+            # another spw, then we will get 2 identical entries for the same scan, and thus duplicate 
build	18-Sep-2019 23:19:12	+            # plots.  So, remove one.
build	18-Sep-2019 23:19:12	+            if debug: print("Engaging fix for CAS-9474")
build	18-Sep-2019 23:19:12	+            scansToPlot = uniqueScansToPlot
build	18-Sep-2019 23:19:12	+            timerangeListTimes = list(np.array(timerangeListTimes)[idx])
build	18-Sep-2019 23:19:12	+            timerangeList = list(np.array(timerangeList)[idx])
build	18-Sep-2019 23:19:12	+            timerangeListTimesString = mjdsecArrayToUTString(timerangeListTimes)
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Revised scans to plot: %s" % (str(scansToPlot)))
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Revised UT times to plot: %s" % (timerangeListTimesString))
build	18-Sep-2019 23:19:12	+            casalogPost(debug,"Corresponding time IDs (0-based): %s" % (str(timerangeList)))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # Check for mismatch
build	18-Sep-2019 23:19:12	+    if (bpolyOverlay):
build	18-Sep-2019 23:19:12	+        if (len(timerangeListTimes) > nUniqueTimesBP):
build	18-Sep-2019 23:19:12	+            print("There are more timeranges (%d) to plot from %s than exist in the caltable2=%s (%d)" % (len(timerangeListTimes), caltable,caltable2, nUniqueTimesBP))
build	18-Sep-2019 23:19:12	+            for i in timerangeList:
build	18-Sep-2019 23:19:12	+                if (sloppyMatch(timerangeListTimes[i],uniqueTimesBP[0],
build	18-Sep-2019 23:19:12	+                                solutionTimeThresholdSeconds, mytime,
build	18-Sep-2019 23:19:12	+                                scansToPlot, scansForUniqueTimes, myprint=False)):
build	18-Sep-2019 23:19:12	+                    print("Try adding 'timeranges=%d'" % (i+1))
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        if (bpolyOverlay2):
build	18-Sep-2019 23:19:12	+            if (len(timerangeListTimes) > nUniqueTimesBP2):
build	18-Sep-2019 23:19:12	+                print("There are more timeranges to plot (%d) from %s than exist in the caltable3=%s (%d)" % (len(timerangeListTimes), caltable, caltable3, nUniqueTimesBP2))
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+            
build	18-Sep-2019 23:19:12	+    # Parse the antenna string to emulate plotms
build	18-Sep-2019 23:19:12	+    if (type(antenna) == str):
build	18-Sep-2019 23:19:12	+       if (len(antenna) == sum([m in myValidCharacterListWithBang for m in antenna])):
build	18-Sep-2019 23:19:12	+           # a simple list of antenna numbers was given 
build	18-Sep-2019 23:19:12	+           tokens = antenna.split(',')
build	18-Sep-2019 23:19:12	+           antlist = []
build	18-Sep-2019 23:19:12	+           removeAntenna = []
build	18-Sep-2019 23:19:12	+           for token in tokens:
build	18-Sep-2019 23:19:12	+               if (len(token) > 0):
build	18-Sep-2019 23:19:12	+                   if (token.find('*')==0 and len(token)==1):
build	18-Sep-2019 23:19:12	+                       antlist = uniqueAntennaIds
build	18-Sep-2019 23:19:12	+                       break
build	18-Sep-2019 23:19:12	+                   elif (token.find('!')==0):
build	18-Sep-2019 23:19:12	+                       antlist = uniqueAntennaIds
build	18-Sep-2019 23:19:12	+                       removeAntenna.append(int(token[1:]))
build	18-Sep-2019 23:19:12	+                   elif (token.find('~')>0):
build	18-Sep-2019 23:19:12	+                       (start,finish) = token.split('~')
build	18-Sep-2019 23:19:12	+                       antlist +=  range(int(start),int(finish)+1)
build	18-Sep-2019 23:19:12	+                   else:
build	18-Sep-2019 23:19:12	+                       antlist.append(int(token))
build	18-Sep-2019 23:19:12	+           antlist = np.array(antlist)
build	18-Sep-2019 23:19:12	+           for rm in removeAntenna:
build	18-Sep-2019 23:19:12	+               antlist = antlist[np.where(antlist != rm)[0]]
build	18-Sep-2019 23:19:12	+           antlist = list(antlist)
build	18-Sep-2019 23:19:12	+           if (len(antlist) < 1 and len(removeAntenna)>0):
build	18-Sep-2019 23:19:12	+               print("Too many negated antennas -- there are no antennas left to plot.")
build	18-Sep-2019 23:19:12	+               return()
build	18-Sep-2019 23:19:12	+       else:
build	18-Sep-2019 23:19:12	+           # The antenna name (or list of names) was specified
build	18-Sep-2019 23:19:12	+           tokens = antenna.split(',')
build	18-Sep-2019 23:19:12	+           if (msFound):
build	18-Sep-2019 23:19:12	+               antlist = []
build	18-Sep-2019 23:19:12	+               removeAntenna = []
build	18-Sep-2019 23:19:12	+               for token in tokens:
build	18-Sep-2019 23:19:12	+#                   if (token in mymsmd.antennanames(range(mymsmd.nantennas()))):
build	18-Sep-2019 23:19:12	+                   if (token in msAnt):
build	18-Sep-2019 23:19:12	+                       antlist = list(antlist)  # needed in case preceding antenna had ! modifier
build	18-Sep-2019 23:19:12	+#                       antlist.append(mymsmd.antennaids(token)[0])
build	18-Sep-2019 23:19:12	+                       antlist.append(list(msAnt).index(token))
build	18-Sep-2019 23:19:12	+                   elif (token[0] == '!'):
build	18-Sep-2019 23:19:12	+#                       if (token[1:] in mymsmd.antennanames(range(mymsmd.nantennas()))):
build	18-Sep-2019 23:19:12	+                       if (token[1:] in msAnt):
build	18-Sep-2019 23:19:12	+                           antlist = uniqueAntennaIds # range(mymsmd.nantennas())
build	18-Sep-2019 23:19:12	+#                           removeAntenna.append(mymsmd.antennaids(token[1:])[0])
build	18-Sep-2019 23:19:12	+                           removeAntenna.append(list(msAnt).index(token[1:]))                       
build	18-Sep-2019 23:19:12	+                       else:
build	18-Sep-2019 23:19:12	+                           print("Antenna %s is not in the ms. It contains: " % (token), mymsmd.antennanames(range(mymsmd.nantennas())))
build	18-Sep-2019 23:19:12	+                           return()
build	18-Sep-2019 23:19:12	+                   else:
build	18-Sep-2019 23:19:12	+                       print("Antenna %s is not in the ms. It contains: " % (token), mymsmd.antennanames(range(mymsmd.nantennas())))
build	18-Sep-2019 23:19:12	+                       return()
build	18-Sep-2019 23:19:12	+               antlist = np.array(antlist)
build	18-Sep-2019 23:19:12	+               for rm in removeAntenna:
build	18-Sep-2019 23:19:12	+                   antlist = antlist[np.where(antlist != rm)[0]]
build	18-Sep-2019 23:19:12	+               antlist = list(antlist)
build	18-Sep-2019 23:19:12	+               if (len(antlist) < 1 and len(removeAntenna)>0):
build	18-Sep-2019 23:19:12	+                   print("Too many negated antennas -- there are no antennas left to plot.")
build	18-Sep-2019 23:19:12	+                   return()
build	18-Sep-2019 23:19:12	+           else:
build	18-Sep-2019 23:19:12	+               print("Antennas cannot be specified my name if the ms is not found.")
build	18-Sep-2019 23:19:12	+               return()
build	18-Sep-2019 23:19:12	+    elif (type(antenna) == list):
build	18-Sep-2019 23:19:12	+        # it's a list of integers
build	18-Sep-2019 23:19:12	+        antlist = antenna
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        # It's a single, integer entry
build	18-Sep-2019 23:19:12	+        antlist = [antenna]
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"antlist = %s" % (str(antlist)))
build	18-Sep-2019 23:19:12	+    if (len(antlist) > 0):
build	18-Sep-2019 23:19:12	+       antennasToPlot = np.intersect1d(uniqueAntennaIds,antlist)
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+       antennasToPlot = uniqueAntennaIds
build	18-Sep-2019 23:19:12	+    if (len(antennasToPlot) < 2 and overlayAntennas):
build	18-Sep-2019 23:19:12	+        print("More than 1 antenna is required for overlay='antenna'.")
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"antennasToPlot = %s" % (str(antennasToPlot)))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # Parse the field string to emulate plotms
build	18-Sep-2019 23:19:12	+    removeField = []
build	18-Sep-2019 23:19:12	+    if (type(field) == str):
build	18-Sep-2019 23:19:12	+       if (len(field) == sum([m in myValidCharacterListWithBang for m in field])):
build	18-Sep-2019 23:19:12	+           casalogPost(debug,"a list of field numbers was given")
build	18-Sep-2019 23:19:12	+           # a list of field numbers was given
build	18-Sep-2019 23:19:12	+           tokens = field.split(',')
build	18-Sep-2019 23:19:12	+           fieldlist = []
build	18-Sep-2019 23:19:12	+           for token in tokens:
build	18-Sep-2019 23:19:12	+               if (token.find('*')>=0):
build	18-Sep-2019 23:19:12	+                   fieldlist = uniqueFields
build	18-Sep-2019 23:19:12	+                   break
build	18-Sep-2019 23:19:12	+               elif (token.find('!')==0):
build	18-Sep-2019 23:19:12	+                   fieldlist = uniqueFields
build	18-Sep-2019 23:19:12	+                   removeField.append(int(token[1:]))
build	18-Sep-2019 23:19:12	+               elif (len(token) > 0):
build	18-Sep-2019 23:19:12	+                   if (token.find('~')>0):
build	18-Sep-2019 23:19:12	+                       (start,finish) = token.split('~')
build	18-Sep-2019 23:19:12	+                       fieldlist +=  range(int(start),int(finish)+1)
build	18-Sep-2019 23:19:12	+                   else:
build	18-Sep-2019 23:19:12	+                       fieldlist.append(int(token))
build	18-Sep-2019 23:19:12	+           fieldlist = np.array(fieldlist)
build	18-Sep-2019 23:19:12	+           for rm in removeField:
build	18-Sep-2019 23:19:12	+               fieldlist = fieldlist[np.where(fieldlist != rm)[0]]
build	18-Sep-2019 23:19:12	+           fieldlist = list(fieldlist)
build	18-Sep-2019 23:19:12	+           if (len(fieldlist) < 1 and len(removeField)>0):
build	18-Sep-2019 23:19:12	+               print("Too many negated fields -- there are no fields left to plot.")
build	18-Sep-2019 23:19:12	+               return()
build	18-Sep-2019 23:19:12	+       else:
build	18-Sep-2019 23:19:12	+           casalogPost(debug,"The field name, or list of names was given")
build	18-Sep-2019 23:19:12	+           # The field name (or list of names, or wildcard) was specified
build	18-Sep-2019 23:19:12	+           tokens = field.split(',')
build	18-Sep-2019 23:19:12	+           if (msFound):
build	18-Sep-2019 23:19:12	+               fieldlist = []
build	18-Sep-2019 23:19:12	+               removeField = []
build	18-Sep-2019 23:19:12	+               for token in tokens:
build	18-Sep-2019 23:19:12	+                   myloc = token.find('*')
build	18-Sep-2019 23:19:12	+                   casalogPost(debug,"token=%s, myloc=%d" % (token,myloc))
build	18-Sep-2019 23:19:12	+                   if (myloc > 0):
build	18-Sep-2019 23:19:12	+                       casalogPost(debug,"Saw wildcard in the name")
build	18-Sep-2019 23:19:12	+                       for u in uniqueFields:
build	18-Sep-2019 23:19:12	+                           myFieldName = GetFieldNamesForFieldId(u, mymsmd, msFields)
build	18-Sep-2019 23:19:12	+                           if (token[0:myloc]==myFieldName[0:myloc]):
build	18-Sep-2019 23:19:12	+                               if (DEBUG):
build	18-Sep-2019 23:19:12	+                                   print("Found wildcard match = %s" % mymsmd.namesforfields(u))
build	18-Sep-2019 23:19:12	+                               fieldlist.append(u)
build	18-Sep-2019 23:19:12	+                           else:
build	18-Sep-2019 23:19:12	+                               if (DEBUG):
build	18-Sep-2019 23:19:12	+                                   print("No wildcard match with = %s" % mymsmd.namesforfields(u))
build	18-Sep-2019 23:19:12	+                   elif (myloc==0):
build	18-Sep-2019 23:19:12	+                       casalogPost(debug,"Saw wildcard at start of name")
build	18-Sep-2019 23:19:12	+                       for u in uniqueFields:
build	18-Sep-2019 23:19:12	+                           fieldlist.append(u)
build	18-Sep-2019 23:19:12	+                   elif (token in msFields):
build	18-Sep-2019 23:19:12	+                       fieldlist = list(fieldlist)  # needed in case preceding field had ! modifier
build	18-Sep-2019 23:19:12	+                       fieldlist.append(GetFieldIdsForFieldName(token, mymsmd, msFields))
build	18-Sep-2019 23:19:12	+                   elif (token[0] == '!'):
build	18-Sep-2019 23:19:12	+                       if (fieldlist == []):
build	18-Sep-2019 23:19:12	+                           for u in uniqueFields:
build	18-Sep-2019 23:19:12	+                               fieldlist.append(u)
build	18-Sep-2019 23:19:12	+                       if (token[1:] in msFields):
build	18-Sep-2019 23:19:12	+                           removeField.append(GetFieldIdsForFieldName(token[1:], mymsmd, msFields))
build	18-Sep-2019 23:19:12	+                       else:
build	18-Sep-2019 23:19:12	+                           print("Field %s is not in the ms. It contains: %s, %s" % (token, str(uniqueFields), str(np.unique(msFields))))
build	18-Sep-2019 23:19:12	+                           return()
build	18-Sep-2019 23:19:12	+                   else:
build	18-Sep-2019 23:19:12	+                       casalogPost(debug,"Field not in ms")
build	18-Sep-2019 23:19:12	+                       fieldlist = []
build	18-Sep-2019 23:19:12	+                       for f in mymsmd.namesforfields():
build	18-Sep-2019 23:19:12	+                           fieldlist.append(mymsmd.fieldsforname(f))
build	18-Sep-2019 23:19:12	+                       print("Field %s is not in the ms. It contains: %s, %s" % (token, str(uniqueFields), str(np.unique(msFields))))
build	18-Sep-2019 23:19:12	+                       return()
build	18-Sep-2019 23:19:12	+               fieldlist = np.array(fieldlist)
build	18-Sep-2019 23:19:12	+               for rm in removeField:
build	18-Sep-2019 23:19:12	+                   fieldlist = fieldlist[np.where(fieldlist != rm)[0]]
build	18-Sep-2019 23:19:12	+               fieldlist = list(fieldlist)
build	18-Sep-2019 23:19:12	+               if (len(fieldlist) < 1 and len(removeField)>0):
build	18-Sep-2019 23:19:12	+                   print("Too many negated fields -- there are no fields left to plot.")
build	18-Sep-2019 23:19:12	+                   return()
build	18-Sep-2019 23:19:12	+           else:
build	18-Sep-2019 23:19:12	+               print("Fields cannot be specified my name if the ms is not found.")
build	18-Sep-2019 23:19:12	+               return()
build	18-Sep-2019 23:19:12	+    elif (type(field) == list):
build	18-Sep-2019 23:19:12	+        # it's a list of integers
build	18-Sep-2019 23:19:12	+        fieldlist = field
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        # It's a single, integer entry
build	18-Sep-2019 23:19:12	+        fieldlist = [field]
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"fieldlist = %s" % (str(fieldlist)))
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+    if (len(fieldlist) > 0):
build	18-Sep-2019 23:19:12	+        if (DEBUG):
build	18-Sep-2019 23:19:12	+            print("Finding intersection of %s with %s" % (str(uniqueFields), str(fieldlist)))
build	18-Sep-2019 23:19:12	+        fieldsToPlot = np.intersect1d(uniqueFields,np.array(fieldlist))
build	18-Sep-2019 23:19:12	+        if (bOverlay):
build	18-Sep-2019 23:19:12	+            fieldsToPlot = np.intersect1d(np.union1d(uniqueFields,uniqueFields2),np.array(fieldlist))
build	18-Sep-2019 23:19:12	+        if (len(fieldsToPlot) < 1):
build	18-Sep-2019 23:19:12	+            print("Requested field not found in solution")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        fieldsToPlot = uniqueFields  # use all fields if none are specified
build	18-Sep-2019 23:19:12	+        if (bOverlay):
build	18-Sep-2019 23:19:12	+            fieldsToPlot = np.union1d(uniqueFields,uniqueFields2)
build	18-Sep-2019 23:19:12	+        if (DEBUG):
build	18-Sep-2019 23:19:12	+            print("bOverlay = %s" % (bOverlay))
build	18-Sep-2019 23:19:12	+            print("set fieldsToPlot to uniqueFields = %s" % (str(fieldsToPlot)))
build	18-Sep-2019 23:19:12	+    fieldIndicesToPlot = []
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"fieldsToPlot = %s" % (str(fieldsToPlot)))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (showatmfield == ''):
build	18-Sep-2019 23:19:12	+        showatmfield = fieldsToPlot[0]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (str.isdigit(str(showatmfield))):
build	18-Sep-2019 23:19:12	+            showatmfield = int(str(showatmfield))
build	18-Sep-2019 23:19:12	+            if (showatmfield not in fieldsToPlot):
build	18-Sep-2019 23:19:12	+                print("The showatmfield (%d) is not in the list of fields to plot: %s" % (showatmfield, str(fieldsToPlot)))
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            showatmfieldName = showatmfield
build	18-Sep-2019 23:19:12	+            showatmfield = mymsmd.fieldsforname(showatmfield)
build	18-Sep-2019 23:19:12	+            if (list(showatmfield) == []):
build	18-Sep-2019 23:19:12	+                print("The showatmfield (%s) is not in the ms." %(showatmfieldName))
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+            if (type(showatmfield) == type(np.ndarray(0))):
build	18-Sep-2019 23:19:12	+                # more than one field IDs exist for this source name, so pick the first
build	18-Sep-2019 23:19:12	+                showatmfield = showatmfield[0]
build	18-Sep-2019 23:19:12	+            if (showatmfield not in fieldsToPlot):
build	18-Sep-2019 23:19:12	+                print("The showatmfield (%d=%s) is not in the list of fields to plot: %s" % (showatmfield, showatmfieldName, str(fieldsToPlot)))
build	18-Sep-2019 23:19:12	+                return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    for i in fieldsToPlot:
build	18-Sep-2019 23:19:12	+        match = np.where(i==uniqueFields)[0]
build	18-Sep-2019 23:19:12	+        if (len(match) < 1 and bOverlay):
build	18-Sep-2019 23:19:12	+            match = np.where(i==uniqueFields2)[0]
build	18-Sep-2019 23:19:12	+        fieldIndicesToPlot.append(match[0])
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"spws to plot = %s" % (str(spwsToPlot)))
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"Field IDs to plot: %s" % (str(fieldsToPlot)))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    redisplay = False
build	18-Sep-2019 23:19:12	+    myap = 0  # this variable is necessary to make the 'b' option work for 
build	18-Sep-2019 23:19:12	+              # subplot=11, yaxis=both.  It keeps track of whether 'amp' or 
build	18-Sep-2019 23:19:12	+              # 'phase' was the first plot on the page.
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    # I added pb.ion() because Remy suggested it.
build	18-Sep-2019 23:19:12	+    if (interactive):
build	18-Sep-2019 23:19:12	+        pb.ion()  # This will open a new window if not present.
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        pb.ioff() # This will not destroy an existing window or prevent new plots from appearing there.
build	18-Sep-2019 23:19:12	+# # The call to pb.figure() causes an additional new window everytime.
build	18-Sep-2019 23:19:12	+# #  pb.figure()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    newylimits = [LARGE_POSITIVE, LARGE_NEGATIVE]
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    pb.clf()
build	18-Sep-2019 23:19:12	+    if (bpoly):
build	18-Sep-2019 23:19:12	+      # The number of polarizations cannot be reliably inferred from the shape of
build	18-Sep-2019 23:19:12	+      # the GAIN column in the caltable.  Must use the shape of the DATA column 
build	18-Sep-2019 23:19:12	+      # in the ms.
build	18-Sep-2019 23:19:12	+      if (debug): print("in bpoly")
build	18-Sep-2019 23:19:12	+      if (msFound):
build	18-Sep-2019 23:19:12	+          (corr_type, corr_type_string, nPolarizations) = getCorrType(msName, spwsToPlot, mymsmd, debug)
build	18-Sep-2019 23:19:12	+          casalogPost(debug,"nPolarizations in first spw to plot = %s" % (str(nPolarizations)))
build	18-Sep-2019 23:19:12	+      else:
build	18-Sep-2019 23:19:12	+          print("With no ms available, I will assume ALMA data: XX, YY, and refFreq=first channel.")
build	18-Sep-2019 23:19:12	+          chanFreqGHz = []
build	18-Sep-2019 23:19:12	+          corr_type_string = ['XX','YY']
build	18-Sep-2019 23:19:12	+          corr_type = [9,12]
build	18-Sep-2019 23:19:12	+          nPolarizations = 2
build	18-Sep-2019 23:19:12	+      nPolarizations2 = nPolarizations
build	18-Sep-2019 23:19:12	+      if (corr_type_string == []):
build	18-Sep-2019 23:19:12	+          return()
build	18-Sep-2019 23:19:12	+      polsToPlot = checkPolsToPlot(polsToPlot, corr_type_string, debug)
build	18-Sep-2019 23:19:12	+      if (polsToPlot == []):
build	18-Sep-2019 23:19:12	+          return()
build	18-Sep-2019 23:19:12	+      # Here we are only plotting one BPOLY solution, no overlays implemented.
build	18-Sep-2019 23:19:12	+      overlayAntennas = False
build	18-Sep-2019 23:19:12	+      # rows in the table are: antennas 0..nAnt for first spw, antennas 0..nAnt 
build	18-Sep-2019 23:19:12	+      # for 2nd spw...
build	18-Sep-2019 23:19:12	+      pagectr = 0
build	18-Sep-2019 23:19:12	+      pages = []
build	18-Sep-2019 23:19:12	+      xctr = 0
build	18-Sep-2019 23:19:12	+      newpage = 1
build	18-Sep-2019 23:19:12	+      while (xctr < len(antennasToPlot)):
build	18-Sep-2019 23:19:12	+        xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:12	+        antstring, Antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:12	+        spwctr = 0
build	18-Sep-2019 23:19:12	+        spwctrFirstToPlot = spwctr
build	18-Sep-2019 23:19:12	+        while (spwctr < len(spwsToPlot)):
build	18-Sep-2019 23:19:12	+         ispw = spwsToPlot[spwctr]
build	18-Sep-2019 23:19:12	+         mytime = 0
build	18-Sep-2019 23:19:12	+         while (mytime < nUniqueTimes):
build	18-Sep-2019 23:19:12	+           if (len(uniqueTimes) > 0 and (mytime not in timerangeList)):
build	18-Sep-2019 23:19:12	+               if (debug):
build	18-Sep-2019 23:19:12	+                   print("@@@@@@@@@@@@@@@  Skipping mytime=%d" % (mytime))
build	18-Sep-2019 23:19:12	+               mytime += 1
build	18-Sep-2019 23:19:12	+               continue
build	18-Sep-2019 23:19:12	+           if (newpage == 1):
build	18-Sep-2019 23:19:12	+              pages.append([xctr,spwctr,mytime,0])
build	18-Sep-2019 23:19:12	+#              print("appending [%d,%d,%d,%d]" % (xctr,spwctr,mytime,0))
build	18-Sep-2019 23:19:12	+              newpage = 0
build	18-Sep-2019 23:19:12	+           antennaString = 'Ant%2d: %s,  ' % (xant,antstring)
build	18-Sep-2019 23:19:12	+           for index in range(nRows):
build	18-Sep-2019 23:19:12	+              # Find this antenna, spw, and timerange combination in the table
build	18-Sep-2019 23:19:12	+              if (xant==ant[index] and sloppyMatch(uniqueTimes[mytime],times[index],solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                                   mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes,
build	18-Sep-2019 23:19:12	+                                                   myprint=debugSloppyMatch) and
build	18-Sep-2019 23:19:12	+                  (ispw == cal_desc_id[index]) and (fields[index] in fieldsToPlot)):
build	18-Sep-2019 23:19:12	+                  fieldIndex = np.where(fields[index] == uniqueFields)[0]
build	18-Sep-2019 23:19:12	+                  if (type(fieldIndex) == list or type(fieldIndex) == np.ndarray):
build	18-Sep-2019 23:19:12	+                      fieldIndex = fieldIndex[0]
build	18-Sep-2019 23:19:12	+                  validDomain = [frequencyLimits[0,index], frequencyLimits[1,index]]
build	18-Sep-2019 23:19:12	+                  if (msFound):
build	18-Sep-2019 23:19:12	+                      fieldString = msFields[uniqueFields[fieldIndex]]
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      fieldString = str(field)
build	18-Sep-2019 23:19:12	+                  timeString = ',  t%d/%d  %s' % (mytime,nUniqueTimes-1,utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:12	+                  if (scansForUniqueTimes != []):
build	18-Sep-2019 23:19:12	+                      if (scansForUniqueTimes[mytime]>=0):
build	18-Sep-2019 23:19:12	+                          timeString = ',  scan%d  %s' % (scansForUniqueTimes[mytime],utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:12	+                  if ((yaxis.find('amp')>=0 or amplitudeWithPhase) and myap==0):
build	18-Sep-2019 23:19:12	+                    xframe += 1
build	18-Sep-2019 23:19:12	+                    myUniqueColor = []
build	18-Sep-2019 23:19:12	+                    if (debug):
build	18-Sep-2019 23:19:12	+                        print("v) incrementing xframe to %d" % xframe)
build	18-Sep-2019 23:19:12	+                    adesc = pb.subplot(xframe)
build	18-Sep-2019 23:19:12	+                    previousSubplot = xframe
build	18-Sep-2019 23:19:12	+                    if (ispw==originalSpw[ispw]):
build	18-Sep-2019 23:19:12	+                        # all this was added mistakenly here.  If it causes a bug, remove it.
build	18-Sep-2019 23:19:12	+                        if (overlayTimes and len(fieldsToPlot) > 1):
build	18-Sep-2019 23:19:12	+                          indices = fstring = ''
build	18-Sep-2019 23:19:12	+                          for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:12	+                              if (f != fieldIndicesToPlot[0]):
build	18-Sep-2019 23:19:12	+                                  indices += ','
build	18-Sep-2019 23:19:12	+                                  fstring += ','
build	18-Sep-2019 23:19:12	+                              indices += str(uniqueFields[f])
build	18-Sep-2019 23:19:12	+                              if (msFound):
build	18-Sep-2019 23:19:12	+                                  fstring += msFields[uniqueFields[f]]
build	18-Sep-2019 23:19:12	+                          if (len(fstring) > fstringLimit):
build	18-Sep-2019 23:19:12	+                              fstring = fstring[0:fstringLimit] + '...'
build	18-Sep-2019 23:19:12	+                          pb.title("%sspw%2d,  fields %s: %s%s" % (antennaString,ispw,
build	18-Sep-2019 23:19:12	+                                  indices, fstring, timeString), size=titlesize)
build	18-Sep-2019 23:19:12	+                        else:
build	18-Sep-2019 23:19:12	+                          pb.title("%sspw%2d,  field %d: %s%s" % (antennaString,ispw,
build	18-Sep-2019 23:19:12	+                                  uniqueFields[fieldIndex],fieldString,timeString), size=titlesize)
build	18-Sep-2019 23:19:12	+                    else:
build	18-Sep-2019 23:19:12	+                        if (overlayTimes and len(fieldsToPlot) > 1):
build	18-Sep-2019 23:19:12	+                          indices = fstring = ''
build	18-Sep-2019 23:19:12	+                          for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:12	+                              if (f != fieldIndicesToPlot[0]):
build	18-Sep-2019 23:19:12	+                                  indices += ','
build	18-Sep-2019 23:19:12	+                                  fstring += ','
build	18-Sep-2019 23:19:12	+                              indices += str(uniqueFields[f])
build	18-Sep-2019 23:19:12	+                              if (msFound):
build	18-Sep-2019 23:19:12	+                                  fstring += msFields[uniqueFields[f]]
build	18-Sep-2019 23:19:12	+                          if (len(fstring) > fstringLimit):
build	18-Sep-2019 23:19:12	+                              fstring = fstring[0:fstringLimit] + '...'
build	18-Sep-2019 23:19:12	+                          pb.title("%sspw%2d (%d),  fields %s: %s%s" % (antennaString,ispw,originalSpw[ispw],
build	18-Sep-2019 23:19:12	+                                  indices, fstring, timeString), size=titlesize)
build	18-Sep-2019 23:19:12	+                        else:
build	18-Sep-2019 23:19:12	+                          pb.title("%sspw%2d (%d),  field %d: %s%s" % (antennaString,ispw,originalSpw[ispw],
build	18-Sep-2019 23:19:12	+                                  uniqueFields[fieldIndex],fieldString,timeString), size=titlesize)
build	18-Sep-2019 23:19:12	+                    amplitudeSolutionX = np.real(scaleFactor[index])+calcChebyshev(polynomialAmplitude[index][0:nPolyAmp[index]], validDomain, frequenciesGHz[index]*1e+9)
build	18-Sep-2019 23:19:12	+                    amplitudeSolutionY = np.real(scaleFactor[index])+calcChebyshev(polynomialAmplitude[index][nPolyAmp[index]:2*nPolyAmp[index]], validDomain, frequenciesGHz[index]*1e+9)
build	18-Sep-2019 23:19:12	+                    amplitudeSolutionX += 1 - np.mean(amplitudeSolutionX)
build	18-Sep-2019 23:19:12	+                    amplitudeSolutionY += 1 - np.mean(amplitudeSolutionY)
build	18-Sep-2019 23:19:12	+                    if (yaxis.lower().find('db') >= 0):
build	18-Sep-2019 23:19:12	+                        amplitudeSolutionX = 10*np.log10(amplitudeSolutionX)
build	18-Sep-2019 23:19:12	+                        amplitudeSolutionY = 10*np.log10(amplitudeSolutionY)
build	18-Sep-2019 23:19:12	+                    if (nPolarizations == 1):
build	18-Sep-2019 23:19:12	+                        pb.plot(frequenciesGHz[index], amplitudeSolutionX, '%s%s'%(xcolor,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                    else:
build	18-Sep-2019 23:19:12	+                        pb.plot(frequenciesGHz[index], amplitudeSolutionX, '%s%s'%(xcolor,bpolymarkstyle), frequenciesGHz[index], amplitudeSolutionY, '%s%s'%(ycolor,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                    if (plotrange[0] != 0 or plotrange[1] != 0):
build	18-Sep-2019 23:19:12	+                        SetNewXLimits([plotrange[0],plotrange[1]])
build	18-Sep-2019 23:19:12	+                    if (plotrange[2] != 0 or plotrange[3] != 0):
build	18-Sep-2019 23:19:12	+                        SetNewYLimits([plotrange[2],plotrange[3]])
build	18-Sep-2019 23:19:12	+                    xlim=pb.xlim()
build	18-Sep-2019 23:19:12	+                    ylim=pb.ylim()
build	18-Sep-2019 23:19:12	+                    ResizeFonts(adesc,mysize)
build	18-Sep-2019 23:19:12	+                    adesc.xaxis.grid(True,which='major')
build	18-Sep-2019 23:19:12	+                    adesc.yaxis.grid(True,which='major')
build	18-Sep-2019 23:19:12	+                    if (yaxis.lower().find('db')>=0):
build	18-Sep-2019 23:19:12	+                        pb.ylabel('Amplitude (dB)', size=mysize)
build	18-Sep-2019 23:19:12	+                    else:
build	18-Sep-2019 23:19:12	+                        pb.ylabel('Amplitude', size=mysize)
build	18-Sep-2019 23:19:12	+                    pb.xlabel('Frequency (GHz)', size=mysize)
build	18-Sep-2019 23:19:12	+                    if (xframe == firstFrame):
build	18-Sep-2019 23:19:12	+                        DrawBottomLegendPageCoords(msName, uniqueTimes[mytime], mysize, figfile)
build	18-Sep-2019 23:19:12	+                        pb.text(xstartTitle, ystartTitle,
build	18-Sep-2019 23:19:12	+                                '%s (degamp=%d, degphase=%d)'%(caltableTitle,nPolyAmp[index]-1,
build	18-Sep-2019 23:19:12	+                                nPolyPhase[index]-1),size=mysize,
build	18-Sep-2019 23:19:12	+                                transform=pb.gcf().transFigure) 
build	18-Sep-2019 23:19:12	+                    # draw polarization labels
build	18-Sep-2019 23:19:12	+                    x0 = xstartPolLabel
build	18-Sep-2019 23:19:12	+                    y0 = ystartPolLabel
build	18-Sep-2019 23:19:12	+                    for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                        if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                            pb.text(x0, y0-0.03*subplotRows*p, corrTypeToString(corr_type[p])+'',
build	18-Sep-2019 23:19:12	+                                    color=pcolor[p],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                    if (xframe == 111 and amplitudeWithPhase):
build	18-Sep-2019 23:19:12	+                       if (len(figfile) > 0):
build	18-Sep-2019 23:19:12	+                           # We need to make a new figure page
build	18-Sep-2019 23:19:12	+                           plotfiles.append(makeplot(figfile,msFound,msAnt,
build	18-Sep-2019 23:19:12	+                                            overlayAntennas,pages,pagectr,
build	18-Sep-2019 23:19:12	+                                            density,interactive,antennasToPlot,
build	18-Sep-2019 23:19:12	+                                            spwsToPlot,overlayTimes,overlayBasebands,
build	18-Sep-2019 23:19:12	+                                                     0,xant,ispw,subplot,resample,
build	18-Sep-2019 23:19:12	+                                            debug,figfileSequential,figfileNumber))
build	18-Sep-2019 23:19:12	+                           figfileNumber += 1
build	18-Sep-2019 23:19:12	+                       donetime = timeUtilities.time()
build	18-Sep-2019 23:19:12	+                       if (interactive):
build	18-Sep-2019 23:19:12	+                          pb.draw()
build	18-Sep-2019 23:19:12	+# #                        myinput = raw_input("(%.1f sec) Press return for next page (b for backwards, q to quit): "%(donetime-mytimestamp))
build	18-Sep-2019 23:19:12	+                          myinput = raw_input("Press return for next page (b for backwards, q to quit): ")
build	18-Sep-2019 23:19:12	+                       else:
build	18-Sep-2019 23:19:12	+                          myinput = ''
build	18-Sep-2019 23:19:12	+                       skippingSpwMessageSent = 0
build	18-Sep-2019 23:19:12	+                       mytimestamp = timeUtilities.time()
build	18-Sep-2019 23:19:12	+                       if (myinput.find('q') >= 0):
build	18-Sep-2019 23:19:12	+                           showFinalMessage(overlayAntennas, solutionTimeSpread, nUniqueTimes)
build	18-Sep-2019 23:19:12	+                           return()
build	18-Sep-2019 23:19:12	+                       if (myinput.find('b') >= 0):
build	18-Sep-2019 23:19:12	+                           if (pagectr > 0):
build	18-Sep-2019 23:19:12	+                               pagectr -= 1
build	18-Sep-2019 23:19:12	+                           #redisplay the current page by setting ctrs back to the value they had at start of that page
build	18-Sep-2019 23:19:12	+                           xctr = pages[pagectr][PAGE_ANT]
build	18-Sep-2019 23:19:12	+                           spwctr = pages[pagectr][PAGE_SPW]
build	18-Sep-2019 23:19:12	+                           mytime = pages[pagectr][PAGE_TIME]
build	18-Sep-2019 23:19:12	+                           myap = pages[pagectr][PAGE_AP]
build	18-Sep-2019 23:19:12	+                           xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:12	+                           antstring, Antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:12	+                           ispw = spwsToPlot[spwctr]
build	18-Sep-2019 23:19:12	+                           redisplay = True
build	18-Sep-2019 23:19:12	+                       else:
build	18-Sep-2019 23:19:12	+                           pagectr += 1
build	18-Sep-2019 23:19:12	+                           if (pagectr >= len(pages)):
build	18-Sep-2019 23:19:12	+                                 pages.append([xctr,spwctr,mytime,1])
build	18-Sep-2019 23:19:12	+#                                 print("appending [%d,%d,%d,%d]" % (xctr,spwctr,mytime,1))
build	18-Sep-2019 23:19:12	+                                 newpage = 0
build	18-Sep-2019 23:19:12	+                       pb.clf()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+                  if (yaxis.find('phase')>=0 or amplitudeWithPhase):
build	18-Sep-2019 23:19:12	+                    xframe += 1
build	18-Sep-2019 23:19:12	+                    myUniqueColor = []
build	18-Sep-2019 23:19:12	+# #                  print("w) incrementing xframe to %d" % xframe)
build	18-Sep-2019 23:19:12	+                    adesc = pb.subplot(xframe)
build	18-Sep-2019 23:19:12	+                    previousSubplot = xframe
build	18-Sep-2019 23:19:12	+                    if (ispw==originalSpw[ispw]):
build	18-Sep-2019 23:19:12	+                          pb.title("%sspw%2d,  field %d: %s%s" % (antennaString,ispw,
build	18-Sep-2019 23:19:12	+                                 uniqueFields[fieldIndex],fieldString,timeString), size=titlesize)
build	18-Sep-2019 23:19:12	+                    else:
build	18-Sep-2019 23:19:12	+                          pb.title("%sspw%2d (%d),  field %d: %s%s" % (antennaString,ispw,originalSpw[ispw],
build	18-Sep-2019 23:19:12	+                                 uniqueFields[fieldIndex],fieldString,timeString), size=titlesize)
build	18-Sep-2019 23:19:12	+                    phaseSolutionX = calcChebyshev(polynomialPhase[index][0:nPolyPhase[index]], validDomain, frequenciesGHz[index]*1e+9) * 180/math.pi
build	18-Sep-2019 23:19:12	+                    phaseSolutionY = calcChebyshev(polynomialPhase[index][nPolyPhase[index]:2*nPolyPhase[index]], validDomain, frequenciesGHz[index]*1e+9) * 180/math.pi
build	18-Sep-2019 23:19:12	+                    if (nPolarizations == 1):
build	18-Sep-2019 23:19:12	+                        pb.plot(frequenciesGHz[index], phaseSolutionX, '%s%s'%(xcolor,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                    else:
build	18-Sep-2019 23:19:12	+                        pb.plot(frequenciesGHz[index], phaseSolutionX, '%s%s'%(xcolor,bpolymarkstyle), frequenciesGHz[index], phaseSolutionY, '%s%s'%(ycolor,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                    ResizeFonts(adesc,mysize)
build	18-Sep-2019 23:19:12	+                    adesc.xaxis.grid(True,which='major')
build	18-Sep-2019 23:19:12	+                    adesc.yaxis.grid(True,which='major')
build	18-Sep-2019 23:19:12	+                    pb.ylabel('Phase (deg)', size=mysize)
build	18-Sep-2019 23:19:12	+                    pb.xlabel('Frequency (GHz)', size=mysize)
build	18-Sep-2019 23:19:12	+                    if (plotrange[0] != 0 or plotrange[1] != 0):
build	18-Sep-2019 23:19:12	+                        SetNewXLimits([plotrange[0],plotrange[1]])
build	18-Sep-2019 23:19:12	+                    if (plotrange[2] != 0 or plotrange[3] != 0):
build	18-Sep-2019 23:19:12	+                        SetNewYLimits([plotrange[2],plotrange[3]])
build	18-Sep-2019 23:19:12	+                    if (amplitudeWithPhase and phase != ''):
build	18-Sep-2019 23:19:12	+                        if (phase[0] != 0 or phase[1] != 0):
build	18-Sep-2019 23:19:12	+                            SetNewYLimits(phase)
build	18-Sep-2019 23:19:12	+                    if (xframe == firstFrame):
build	18-Sep-2019 23:19:12	+                        pb.text(xstartTitle, ystartTitle,
build	18-Sep-2019 23:19:12	+                                '%s (degamp=%d, degphase=%d)'%(caltable,
build	18-Sep-2019 23:19:12	+                                nPolyAmp[index]-1,nPolyPhase[index]-1),
build	18-Sep-2019 23:19:12	+                                size=mysize, transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+                    # draw polarization labels
build	18-Sep-2019 23:19:12	+                    x0 = xstartPolLabel
build	18-Sep-2019 23:19:12	+                    y0 = ystartPolLabel
build	18-Sep-2019 23:19:12	+                    for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                        if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                            pb.text(x0, y0-0.03*p*subplotRows, corrTypeToString(corr_type[p])+'',
build	18-Sep-2019 23:19:12	+                                    color=pcolor[p],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                        
build	18-Sep-2019 23:19:12	+           # end of 'for' loop over rows
build	18-Sep-2019 23:19:12	+           redisplay = False
build	18-Sep-2019 23:19:12	+           pb.subplots_adjust(hspace=myhspace, wspace=mywspace)
build	18-Sep-2019 23:19:12	+           if (xframe == lastFrame):
build	18-Sep-2019 23:19:12	+              if (len(figfile) > 0):
build	18-Sep-2019 23:19:12	+                  plotfiles.append(makeplot(figfile,msFound,msAnt,
build	18-Sep-2019 23:19:12	+                                    overlayAntennas,pages,pagectr,
build	18-Sep-2019 23:19:12	+                                    density,interactive,antennasToPlot,
build	18-Sep-2019 23:19:12	+                                    spwsToPlot,overlayTimes,overlayBasebands,
build	18-Sep-2019 23:19:12	+                                            1,xant,ispw, 
build	18-Sep-2019 23:19:12	+                                            subplot,resample,debug,
build	18-Sep-2019 23:19:12	+                                    figfileSequential,figfileNumber))
build	18-Sep-2019 23:19:12	+                  figfileNumber += 1
build	18-Sep-2019 23:19:12	+              donetime = timeUtilities.time()
build	18-Sep-2019 23:19:12	+              if (interactive):
build	18-Sep-2019 23:19:12	+                 pb.draw()
build	18-Sep-2019 23:19:12	+# #               myinput = raw_input("(%.1f sec) Press return for next page (b for backwards, q to quit): "%(donetime-mytimestamp))
build	18-Sep-2019 23:19:12	+                 myinput = raw_input("Press return for next page (b for backwards, q to quit): ")
build	18-Sep-2019 23:19:12	+              else:
build	18-Sep-2019 23:19:12	+                 myinput = ''
build	18-Sep-2019 23:19:12	+              skippingSpwMessageSent = 0
build	18-Sep-2019 23:19:12	+              mytimestamp = timeUtilities.time()
build	18-Sep-2019 23:19:12	+              if (myinput.find('q') >= 0):
build	18-Sep-2019 23:19:12	+                  return()
build	18-Sep-2019 23:19:12	+              if (myinput.find('b') >= 0):
build	18-Sep-2019 23:19:12	+                  if (pagectr > 0):
build	18-Sep-2019 23:19:12	+                      pagectr -= 1
build	18-Sep-2019 23:19:12	+                  #redisplay the current page by setting ctrs back to the value they had at start of that page
build	18-Sep-2019 23:19:12	+                  xctr = pages[pagectr][PAGE_ANT]
build	18-Sep-2019 23:19:12	+                  spwctr = pages[pagectr][PAGE_SPW]
build	18-Sep-2019 23:19:12	+                  mytime = pages[pagectr][PAGE_TIME]
build	18-Sep-2019 23:19:12	+                  myap = pages[pagectr][PAGE_AP]
build	18-Sep-2019 23:19:12	+                  xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:12	+                  antstring, Antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:12	+                  ispw = spwsToPlot[spwctr]
build	18-Sep-2019 23:19:12	+                  redisplay = True
build	18-Sep-2019 23:19:12	+              else:
build	18-Sep-2019 23:19:12	+                  pagectr += 1
build	18-Sep-2019 23:19:12	+                  if (pagectr >= len(pages)):
build	18-Sep-2019 23:19:12	+                      newpage = 1
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      newpage = 0
build	18-Sep-2019 23:19:12	+              if (debug):
build	18-Sep-2019 23:19:12	+                  print("1)Setting xframe to %d" % xframeStart)
build	18-Sep-2019 23:19:12	+              xframe = xframeStart
build	18-Sep-2019 23:19:12	+              if (xctr+1 < len(antennasToPlot)):
build	18-Sep-2019 23:19:12	+                  # don't clear the final plot when finished
build	18-Sep-2019 23:19:12	+                  pb.clf()
build	18-Sep-2019 23:19:12	+              if (spwctr+1<len(spwsToPlot) or mytime+1<nUniqueTimes):
build	18-Sep-2019 23:19:12	+                  # don't clear the final plot when finished
build	18-Sep-2019 23:19:12	+                  pb.clf()
build	18-Sep-2019 23:19:12	+              pb.subplots_adjust(hspace=myhspace, wspace=mywspace)
build	18-Sep-2019 23:19:12	+           if (redisplay == False):
build	18-Sep-2019 23:19:12	+               mytime += 1
build	18-Sep-2019 23:19:12	+               if (debug):
build	18-Sep-2019 23:19:12	+                   print("Incrementing mytime to %d" % (mytime))
build	18-Sep-2019 23:19:12	+         # end while(mytime)
build	18-Sep-2019 23:19:12	+         if (redisplay == False):
build	18-Sep-2019 23:19:12	+             spwctr +=1
build	18-Sep-2019 23:19:12	+             if (debug):
build	18-Sep-2019 23:19:12	+                 print("Incrementing spwctr to %d" % (spwctr))
build	18-Sep-2019 23:19:12	+        # end while(spwctr)
build	18-Sep-2019 23:19:12	+        if (redisplay == False):
build	18-Sep-2019 23:19:12	+            xctr += 1
build	18-Sep-2019 23:19:12	+      # end while(xctr) for BPOLY
build	18-Sep-2019 23:19:12	+      if (len(figfile) > 0 and pagectr<len(pages)):
build	18-Sep-2019 23:19:12	+         plotfiles.append(makeplot(figfile,msFound,msAnt,overlayAntennas,pages,
build	18-Sep-2019 23:19:12	+                                   pagectr,density,interactive,antennasToPlot,
build	18-Sep-2019 23:19:12	+                                   spwsToPlot,overlayTimes,overlayBasebands,
build	18-Sep-2019 23:19:12	+                                   2,xant,ispw,subplot,resample,debug,
build	18-Sep-2019 23:19:12	+                                   figfileSequential,figfileNumber))
build	18-Sep-2019 23:19:12	+         figfileNumber += 1
build	18-Sep-2019 23:19:12	+      if (len(plotfiles) > 0 and buildpdf):
build	18-Sep-2019 23:19:12	+          pdfname = figfile+'.pdf'
build	18-Sep-2019 23:19:12	+          filelist = ''
build	18-Sep-2019 23:19:12	+          plotfiles = np.unique(plotfiles)
build	18-Sep-2019 23:19:12	+          for i in range(len(plotfiles)):
build	18-Sep-2019 23:19:12	+              cmd = '%s -density %d %s %s.pdf' % (convert,density,plotfiles[i],plotfiles[i].split('.png')[0])
build	18-Sep-2019 23:19:12	+              casalogPost(debug,"Running command = %s" % (cmd))
build	18-Sep-2019 23:19:12	+              mystatus = os.system(cmd)
build	18-Sep-2019 23:19:12	+              if (mystatus != 0):
build	18-Sep-2019 23:19:12	+                  break
build	18-Sep-2019 23:19:12	+              filelist += plotfiles[i].split('.png')[0] + '.pdf '
build	18-Sep-2019 23:19:12	+          if (mystatus != 0):
build	18-Sep-2019 23:19:12	+              print("ImageMagick is missing, no PDF created")
build	18-Sep-2019 23:19:12	+              buildpdf = False
build	18-Sep-2019 23:19:12	+          if (buildpdf):
build	18-Sep-2019 23:19:12	+              cmd = '%s %s cat output %s' % (pdftk, filelist, pdfname)
build	18-Sep-2019 23:19:12	+              casalogPost(debug,"Running command = %s" % (cmd))
build	18-Sep-2019 23:19:12	+              mystatus = os.system(cmd)
build	18-Sep-2019 23:19:12	+              if (mystatus != 0):
build	18-Sep-2019 23:19:12	+                  cmd = '%s -q -sPAPERSIZE=letter -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=%s %s' % (gs,pdfname,filelist)
build	18-Sep-2019 23:19:12	+                  casalogPost(debug,"Running command = %s" % (cmd))
build	18-Sep-2019 23:19:12	+                  mystatus = os.system(cmd)
build	18-Sep-2019 23:19:12	+              if (mystatus == 0):
build	18-Sep-2019 23:19:12	+                  print("PDF left in %s" % (pdfname))
build	18-Sep-2019 23:19:12	+                  os.system("rm -f %s" % filelist)
build	18-Sep-2019 23:19:12	+              else:
build	18-Sep-2019 23:19:12	+                  print("Both pdftk and ghostscript are missing, no PDF created")
build	18-Sep-2019 23:19:12	+      return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+####################################################################################
build	18-Sep-2019 23:19:12	+# # bpoly == false, 
build	18-Sep-2019 23:19:12	+#################
build	18-Sep-2019 23:19:12	+    msFound = False
build	18-Sep-2019 23:19:12	+    mytb.open(caltable)
build	18-Sep-2019 23:19:12	+    uniqueScanNumbers = sorted(np.unique(mytb.getcol('SCAN_NUMBER')))
build	18-Sep-2019 23:19:12	+    if (ParType == 'Complex'):  # casa >= 3.4
build	18-Sep-2019 23:19:12	+        gain = {}
build	18-Sep-2019 23:19:12	+        for f in range(len(fields)):
build	18-Sep-2019 23:19:12	+            gain[f] = mytb.getcell('CPARAM',f)
build	18-Sep-2019 23:19:12	+    else: # casa 3.3
build	18-Sep-2019 23:19:12	+        gain = {}
build	18-Sep-2019 23:19:12	+# #      gain = mytb.getcol('FPARAM')       # 2,128,576
build	18-Sep-2019 23:19:12	+        if ('FPARAM' in mytb.colnames()):
build	18-Sep-2019 23:19:12	+            for f in range(len(fields)):
build	18-Sep-2019 23:19:12	+                gain[f] = mytb.getcell('FPARAM',f)
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            for f in range(len(fields)):
build	18-Sep-2019 23:19:12	+                gain[f] = mytb.getcell('GAIN',f)
build	18-Sep-2019 23:19:12	+    nPolarizations =  len(gain[0])
build	18-Sep-2019 23:19:12	+    if (debug):
build	18-Sep-2019 23:19:12	+        print("(1)Set nPolarizations = %d" % nPolarizations)
build	18-Sep-2019 23:19:12	+    ggx = {}
build	18-Sep-2019 23:19:12	+    for g in range(len(gain)):
build	18-Sep-2019 23:19:12	+        ggx[g] =  gain[g][0]
build	18-Sep-2019 23:19:12	+    if (nPolarizations == 2):
build	18-Sep-2019 23:19:12	+        ggy = {}
build	18-Sep-2019 23:19:12	+        for g in range(len(gain)):
build	18-Sep-2019 23:19:12	+            ggy[g] =  gain[g][1]
build	18-Sep-2019 23:19:12	+    mytb.close()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (debug):
build	18-Sep-2019 23:19:12	+      print("nPolarizations = %s" % (str(nPolarizations)))
build	18-Sep-2019 23:19:12	+    nRows = len(gain)
build	18-Sep-2019 23:19:12	+    if (bOverlay):
build	18-Sep-2019 23:19:12	+          mytb.open(caltable2)
build	18-Sep-2019 23:19:12	+          gain2 = {}
build	18-Sep-2019 23:19:12	+          if (ParType == 'Complex'):
build	18-Sep-2019 23:19:12	+# #            gain2 = mytb.getcol('CPARAM')
build	18-Sep-2019 23:19:12	+              for f in range(len(fields2)):
build	18-Sep-2019 23:19:12	+                  gain2[f] = mytb.getcell('CPARAM',f)
build	18-Sep-2019 23:19:12	+          else:
build	18-Sep-2019 23:19:12	+# #            gain2 = mytb.getcol('FPARAM')
build	18-Sep-2019 23:19:12	+              for f in range(len(fields2)):
build	18-Sep-2019 23:19:12	+                  if (tableFormat2 == 34):
build	18-Sep-2019 23:19:12	+                      gain2[f] = mytb.getcell('FPARAM',f)
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      gain2[f] = mytb.getcell('GAIN',f)
build	18-Sep-2019 23:19:12	+          mytb.close()
build	18-Sep-2019 23:19:12	+          ggx2 = {}
build	18-Sep-2019 23:19:12	+          for g in range(len(gain2)):
build	18-Sep-2019 23:19:12	+# #            print("Appending to ggx: ", gain2[g][0])
build	18-Sep-2019 23:19:12	+              ggx2[g] = gain2[g][0]
build	18-Sep-2019 23:19:12	+          nPolarizations2 = len(gain2[0])
build	18-Sep-2019 23:19:12	+          if (nPolarizations == 2):
build	18-Sep-2019 23:19:12	+              ggy2 = {}
build	18-Sep-2019 23:19:12	+              for g in range(len(gain2)):
build	18-Sep-2019 23:19:12	+                  ggy2[g] = gain2[g][1]
build	18-Sep-2019 23:19:12	+          nRows2 = len(gain2)
build	18-Sep-2019 23:19:12	+          if (debug): print("nRows2 = %s" % (str(nRows2)))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (tableFormat == 34):
build	18-Sep-2019 23:19:12	+        # CAS-6801, unfortunately corr_type is not available in the caltable
build	18-Sep-2019 23:19:12	+        mytb.open(caltable)
build	18-Sep-2019 23:19:12	+        spectralWindowTable = mytb.getkeyword('SPECTRAL_WINDOW').split()[1]
build	18-Sep-2019 23:19:12	+        if ('OBSERVATION' in mytb.getkeywords()):
build	18-Sep-2019 23:19:12	+            observationTable = mytb.getkeyword('OBSERVATION').split()[1]
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            observationTable = None
build	18-Sep-2019 23:19:12	+        mytb.open(spectralWindowTable)
build	18-Sep-2019 23:19:12	+        refFreq = mytb.getcol('REF_FREQUENCY')
build	18-Sep-2019 23:19:12	+        net_sideband = mytb.getcol('NET_SIDEBAND')
build	18-Sep-2019 23:19:12	+        measFreqRef = mytb.getcol('MEAS_FREQ_REF')
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+        corr_type = None
build	18-Sep-2019 23:19:12	+        if (os.path.exists(msName)):
build	18-Sep-2019 23:19:12	+          try:
build	18-Sep-2019 23:19:12	+              (corr_type, corr_type_string, nPolarizations) = getCorrType(msName,originalSpwsToPlot,mymsmd,debug)
build	18-Sep-2019 23:19:12	+          except:
build	18-Sep-2019 23:19:12	+              print("4) Could not getCorrType")
build	18-Sep-2019 23:19:12	+        if (corr_type is None):
build	18-Sep-2019 23:19:12	+          if (observationTable is None):
build	18-Sep-2019 23:19:12	+              corr_type, corr_type_string, nPolarizations = getCorrTypeByAntennaName(msAnt[0].lower())
build	18-Sep-2019 23:19:12	+          else:
build	18-Sep-2019 23:19:12	+              telescope = getTelescopeNameFromCaltableObservationTable(observationTable)
build	18-Sep-2019 23:19:12	+              if (telescope.find('ALMA') >= 0):
build	18-Sep-2019 23:19:12	+                  print("Using telescope name (%s) to set the polarization type." % (telescope))
build	18-Sep-2019 23:19:12	+                  corr_type_string = ['XX','YY']
build	18-Sep-2019 23:19:12	+                  corr_type = [9,12]
build	18-Sep-2019 23:19:12	+              elif (telescope.find('VLA') >= 0):
build	18-Sep-2019 23:19:12	+                  print("Using telescope name (%s) to set the polarization type." % (telescope))
build	18-Sep-2019 23:19:12	+                  corr_type_string = ['RR','LL']
build	18-Sep-2019 23:19:12	+                  corr_type = [5,8]
build	18-Sep-2019 23:19:12	+              else:  
build	18-Sep-2019 23:19:12	+                  corr_type, corr_type_string, noPolarizations = getCorrTypeByAntennaName(msAnt[0].lower())
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+      try:
build	18-Sep-2019 23:19:12	+        if (DEBUG):
build	18-Sep-2019 23:19:12	+            print("Trying to open %s" % (msName+'/SPECTRAL_WINDOW'))
build	18-Sep-2019 23:19:12	+        mytb.open(msName+'/SPECTRAL_WINDOW')
build	18-Sep-2019 23:19:12	+        refFreq = mytb.getcol('REF_FREQUENCY')
build	18-Sep-2019 23:19:12	+        net_sideband = mytb.getcol('NET_SIDEBAND')
build	18-Sep-2019 23:19:12	+        measFreqRef = mytb.getcol('MEAS_FREQ_REF')
build	18-Sep-2019 23:19:12	+        mytb.close()
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+#        (corr_type, corr_type_string, nPolarizations) = getCorrType(msName, spwsToPlot, mymsmd, debug)
build	18-Sep-2019 23:19:12	+        (corr_type, corr_type_string, nPolarizations) = getCorrType(msName, originalSpwsToPlot, mymsmd, debug)
build	18-Sep-2019 23:19:12	+        if (corr_type_string == []):
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+      except:
build	18-Sep-2019 23:19:12	+        print("4) Could not open the associated measurement set tables (%s). Will not translate antenna names." % (msName))
build	18-Sep-2019 23:19:12	+        mymsmd = ''
build	18-Sep-2019 23:19:12	+        print("I will assume ALMA data: XX, YY, and refFreq=first channel.")
build	18-Sep-2019 23:19:12	+#        chanFreqGHz = []  # comment out on 2014-04-08
build	18-Sep-2019 23:19:12	+        corr_type_string = ['XX','YY']
build	18-Sep-2019 23:19:12	+        corr_type = [9,12]
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (len(polsToPlot) > len(corr_type)):
build	18-Sep-2019 23:19:12	+        # Necessary for SMA (single-pol) data
build	18-Sep-2019 23:19:12	+        polsToPlot = corr_type_string
build	18-Sep-2019 23:19:12	+    casalogPost(debug,"Polarizations to plot = %s" % (str(polsToPlot)))
build	18-Sep-2019 23:19:12	+    polsToPlot = checkPolsToPlot(polsToPlot, corr_type_string, debug)
build	18-Sep-2019 23:19:12	+    if (polsToPlot == []):
build	18-Sep-2019 23:19:12	+        return()
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (len(msAnt) > 0):
build	18-Sep-2019 23:19:12	+        msFound = True
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (xaxis.find('freq')>=0 and tableFormat==33):
build	18-Sep-2019 23:19:12	+            print("Because I could not open the .ms, you cannot use xaxis='freq'.")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+        if (showatm == True or showtsky==True):
build	18-Sep-2019 23:19:12	+            print("Because I could not open the .ms, you cannot use showatm or showtsky.")
build	18-Sep-2019 23:19:12	+            return()
build	18-Sep-2019 23:19:12	+    
build	18-Sep-2019 23:19:12	+    if (bpoly == False):
build	18-Sep-2019 23:19:12	+        if (debug):
build	18-Sep-2019 23:19:12	+            print("nPolarizations = %s" % (nPolarizations))
build	18-Sep-2019 23:19:12	+            print("nFields = %d = %s" % (nFields, str(uniqueFields)))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (bOverlay and debug):
build	18-Sep-2019 23:19:12	+          print("nPolarizations2 = %s" % (str(nPolarizations2)))
build	18-Sep-2019 23:19:12	+          print("nFields2 = %d = %s" % (nFields2, str(uniqueFields2)))
build	18-Sep-2019 23:19:12	+          print("nRows2 = %s" % (str(nRows2)))
build	18-Sep-2019 23:19:12	+    uniqueAntennaIds = np.sort(np.unique(ant))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    yPhaseLabel = 'Phase (deg)'
build	18-Sep-2019 23:19:12	+    tsysPercent = True
build	18-Sep-2019 23:19:12	+    ampPercent = True
build	18-Sep-2019 23:19:12	+    if (VisCal.lower().find('tsys') >= 0):
build	18-Sep-2019 23:19:12	+        if (channeldiff > 0):
build	18-Sep-2019 23:19:12	+            if (tsysPercent):
build	18-Sep-2019 23:19:12	+                yAmplitudeLabel = "Tsys derivative (%_of_median/channel)"
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                yAmplitudeLabel = "Tsys derivative (K/channel)"
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            yAmplitudeLabel = "Tsys (K)"
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (yaxis.lower().find('db')>=0):
build	18-Sep-2019 23:19:12	+            yAmplitudeLabel = "Amplitude (dB)"
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            if (channeldiff > 0):
build	18-Sep-2019 23:19:12	+                if (ampPercent):
build	18-Sep-2019 23:19:12	+                    yAmplitudeLabel = "Amp derivative (%_of_median/channel)"
build	18-Sep-2019 23:19:12	+                else:
build	18-Sep-2019 23:19:12	+                    yAmplitudeLabel = "Amplitude derivative"
build	18-Sep-2019 23:19:12	+                yPhaseLabel = 'Phase derivative (deg/channel)'
build	18-Sep-2019 23:19:12	+            else:
build	18-Sep-2019 23:19:12	+                yAmplitudeLabel = "Amplitude"
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    madsigma = channeldiff # for option channeldiff>0, sets threshold for finding outliers
build	18-Sep-2019 23:19:12	+    ampMin = LARGE_POSITIVE
build	18-Sep-2019 23:19:12	+    ampMax = LARGE_NEGATIVE
build	18-Sep-2019 23:19:12	+    PHASE_ABS_SUM_THRESHOLD = 2e-3  # in degrees, used to avoid printing MAD statistics for refant
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    TDMisSecond = False
build	18-Sep-2019 23:19:12	+    pagectr = 0
build	18-Sep-2019 23:19:12	+    drewAtmosphere = False
build	18-Sep-2019 23:19:12	+    newpage = 1
build	18-Sep-2019 23:19:12	+    pages =  []
build	18-Sep-2019 23:19:12	+    xctr = 0
build	18-Sep-2019 23:19:12	+    myap = 0  # determines whether an amp or phase plot starts the page (in the case of 'both')
build	18-Sep-2019 23:19:12	+              # zero means amplitude, 1 means phase
build	18-Sep-2019 23:19:12	+    redisplay = False
build	18-Sep-2019 23:19:12	+    matchctr = 0
build	18-Sep-2019 23:19:12	+    myUniqueColor = []
build	18-Sep-2019 23:19:12	+    # for the overlay=antenna case, start by assuming the first antenna is not flagged
build	18-Sep-2019 23:19:12	+    firstUnflaggedAntennaToPlot = 0
build	18-Sep-2019 23:19:12	+    lastUnflaggedAntennaToPlot = len(antennasToPlot)
build	18-Sep-2019 23:19:12	+    computedAtmSpw = -1
build	18-Sep-2019 23:19:12	+    computedAtmTime = -1
build	18-Sep-2019 23:19:12	+    computedAtmField = -1
build	18-Sep-2019 23:19:12	+    skippingSpwMessageSent = 0
build	18-Sep-2019 23:19:12	+    atmString = ''
build	18-Sep-2019 23:19:12	+    if (showimage and lo1==''):
build	18-Sep-2019 23:19:12	+        # We only need to run this once per execution.
build	18-Sep-2019 23:19:12	+        if (debug):
build	18-Sep-2019 23:19:12	+            print("Calling getLOs")
build	18-Sep-2019 23:19:12	+        getLOsReturnValue = getLOs(msName, verbose=debug)
build	18-Sep-2019 23:19:12	+        if (getLOsReturnValue != []):
build	18-Sep-2019 23:19:12	+            if (debug):
build	18-Sep-2019 23:19:12	+                print("Calling interpret LOs")
build	18-Sep-2019 23:19:12	+            lo1s = interpretLOs(msName,parentms,verbose=debug,mymsmd=mymsmd)
build	18-Sep-2019 23:19:12	+            if (debug):
build	18-Sep-2019 23:19:12	+                print("Done interpretLOs")
build	18-Sep-2019 23:19:12	+            foundLO1Message = []  # Initialize so that message is only displayed once per spw
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    if (channeldiff>0):
build	18-Sep-2019 23:19:12	+        # build blank dictionary:  madstats['DV01']['spw']['time']['pol']['amp' or 'phase' or both]
build	18-Sep-2019 23:19:12	+        #                          where spw, time, pol are each integers
build	18-Sep-2019 23:19:12	+        if (len(msAnt) > 0):
build	18-Sep-2019 23:19:12	+            madstats = dict.fromkeys(mymsmd.antennanames(antennasToPlot))
build	18-Sep-2019 23:19:12	+        else:
build	18-Sep-2019 23:19:12	+            madstats = dict.fromkeys(['Ant '+str(i) for i in range(len(uniqueAntennaIds))])
build	18-Sep-2019 23:19:12	+
build	18-Sep-2019 23:19:12	+        for i in range(len(madstats)):
build	18-Sep-2019 23:19:12	+            madstats[madstats.keys()[i]] = dict.fromkeys(spwsToPlot)
build	18-Sep-2019 23:19:12	+            for j in range(len(spwsToPlot)):
build	18-Sep-2019 23:19:12	+                madstats[madstats.keys()[i]][spwsToPlot[j]] = dict.fromkeys(timerangeList) # dict.fromkeys(range(len(uniqueTimes)))
build	18-Sep-2019 23:19:12	+                for k in timerangeList: # range(len(uniqueTimes)):
build	18-Sep-2019 23:19:12	+                    madstats[madstats.keys()[i]][spwsToPlot[j]][k] = dict.fromkeys(range(nPolarizations))
build	18-Sep-2019 23:19:12	+                    for l in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                        if (yaxis == 'both'):
build	18-Sep-2019 23:19:12	+                            madstats[madstats.keys()[i]][spwsToPlot[j]][k][l] = {'amp': None, 'phase': None}
build	18-Sep-2019 23:19:12	+                        elif (yaxis == 'phase'):
build	18-Sep-2019 23:19:12	+                            madstats[madstats.keys()[i]][spwsToPlot[j]][k][l] = {'phase': None}
build	18-Sep-2019 23:19:12	+                        else:
build	18-Sep-2019 23:19:12	+                            # this includes tsys and amp
build	18-Sep-2019 23:19:12	+                            madstats[madstats.keys()[i]][spwsToPlot[j]][k][l] = {'amp': None}
build	18-Sep-2019 23:19:12	+        madstats['platforming'] = {}
build	18-Sep-2019 23:19:12	+# #      print("madstats = ", madstats)
build	18-Sep-2019 23:19:12	+    myinput = ''
build	18-Sep-2019 23:19:12	+    atmEverBeenShown = False
build	18-Sep-2019 23:19:12	+    spwsToPlotInBaseband = []
build	18-Sep-2019 23:19:12	+    frequencyRangeToPlotInBaseband = []
build	18-Sep-2019 23:19:12	+    if (debug): print("up to basebands")
build	18-Sep-2019 23:19:12	+    if (basebands == []):
build	18-Sep-2019 23:19:12	+        # MS is too old to have BBC_NO
build	18-Sep-2019 23:19:12	+        if (debug): print("MS is too old to have BBC_NO")
build	18-Sep-2019 23:19:12	+        spwsToPlotInBaseband = [spwsToPlot]
build	18-Sep-2019 23:19:12	+        frequencyRangeToPlotInBaseband = [callFrequencyRangeForSpws(mymsmd, spwsToPlot, vm, caltable)]
build	18-Sep-2019 23:19:12	+        basebands = [0]
build	18-Sep-2019 23:19:12	+    elif (overlayBasebands):
build	18-Sep-2019 23:19:12	+      if (debug): print("overlayBaseband")
build	18-Sep-2019 23:19:12	+      if (list(spwsToPlot) != list(uniqueSpwsInCalTable)):
build	18-Sep-2019 23:19:12	+          # then spws were requested, so treat them all as if in the same baseband, and
build	18-Sep-2019 23:19:12	+          # ignore the basebands parameter
build	18-Sep-2019 23:19:12	+          print("Ignoring the basebands parameter because spws were specified = %s" % (str(spwsToPlot)))
build	18-Sep-2019 23:19:12	+      elif (np.array_equal(np.sort(basebands), np.sort(allBasebands)) == False):
build	18-Sep-2019 23:19:12	+          # Allow the basebands parameter to select the spws
build	18-Sep-2019 23:19:12	+          if (debug): print("Allow the basebands parameter to select the spws")
build	18-Sep-2019 23:19:12	+          basebandSpwsToPlot = []
build	18-Sep-2019 23:19:12	+          for baseband in basebands:
build	18-Sep-2019 23:19:12	+              myspws = list(getSpwsForBaseband(vis=msName, mymsmd=mymsmd, bb=baseband))
build	18-Sep-2019 23:19:12	+              basebandSpwsToPlot += myspws
build	18-Sep-2019 23:19:12	+          spwsToPlot = np.intersect1d(basebandSpwsToPlot, spwsToPlot)
build	18-Sep-2019 23:19:12	+          print("selected basebands %s have spwsToPlot = %s" % (str(basebands),str(spwsToPlot)))
build	18-Sep-2019 23:19:12	+      spwsToPlotInBaseband = [spwsToPlot]  # treat all spws as if in the same baseband
build	18-Sep-2019 23:19:12	+      frequencyRangeToPlotInBaseband = [callFrequencyRangeForSpws(mymsmd, spwsToPlot, vm, caltable)]
build	18-Sep-2019 23:19:12	+      basebands = [0]
build	18-Sep-2019 23:19:12	+    else:
build	18-Sep-2019 23:19:12	+        if (debug): print("building spwsToPlotInBaseband")
build	18-Sep-2019 23:19:12	+        for baseband in basebands:
build	18-Sep-2019 23:19:12	+            myspwlist = []
build	18-Sep-2019 23:19:12	+            for spw in spwsToPlot:
build	18-Sep-2019 23:19:12	+                if (cu.compare_version('>=',[4,1,0]) and msFound):
build	18-Sep-2019 23:19:12	+                    if (mymsmd.baseband(originalSpwsToPlot[list(spwsToPlot).index(spw)]) == baseband):
build	18-Sep-2019 23:19:12	+                        myspwlist.append(spw)
build	18-Sep-2019 23:19:12	+                else:
build	18-Sep-2019 23:19:12	+                    # need to write a function to retrieve baseband
build	18-Sep-2019 23:19:12	+                    # if (spw != 0): 
build	18-Sep-2019 23:19:12	+                    myspwlist.append(spw)
build	18-Sep-2019 23:19:12	+            spwsToPlotInBaseband.append(myspwlist)
build	18-Sep-2019 23:19:12	+            frequencyRangeToPlotInBaseband.append(callFrequencyRangeForSpws(mymsmd, myspwlist,vm,caltable))
build	18-Sep-2019 23:19:12	+  
build	18-Sep-2019 23:19:12	+    firstTimeMatch = -1    # Aug 5, 2013
build	18-Sep-2019 23:19:12	+    finalTimeMatch = -1 #  for CAS-7820
build	18-Sep-2019 23:19:12	+    groupByBaseband = False # don't activate this parameter yet
build	18-Sep-2019 23:19:12	+    if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:12	+        groupByBaseband = True
build	18-Sep-2019 23:19:12	+    if (groupByBaseband and overlaySpws==False and overlayBasebands==False):
build	18-Sep-2019 23:19:12	+        showBasebandNumber = True
build	18-Sep-2019 23:19:12	+    while (xctr < len(antennasToPlot)):
build	18-Sep-2019 23:19:12	+      xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:12	+      bbctr = 0
build	18-Sep-2019 23:19:12	+      if (debug): print("---------------------- A) Setting spwctr=0")
build	18-Sep-2019 23:19:12	+      spwctr = 0
build	18-Sep-2019 23:19:12	+      spwctrFirstToPlot = 0
build	18-Sep-2019 23:19:12	+      antstring, Antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:12	+      alreadyPlottedAmp = False  # needed for (overlay='baseband', yaxis='both')  CAS-6477
build	18-Sep-2019 23:19:12	+      finalSpwWasFlagged = False   # inserted on 22-Apr-2014 for g25.27
build	18-Sep-2019 23:19:12	+      while ((bbctr < len(spwsToPlotInBaseband) and groupByBaseband) or
build	18-Sep-2019 23:19:12	+             (spwctr < len(spwsToPlot) and groupByBaseband==False)
build	18-Sep-2019 23:19:12	+             ):
build	18-Sep-2019 23:19:12	+       if (debug): print("at top of bbctr/spwctr loop with bbctr=%d, spwctr=%d" % (bbctr,spwctr))
build	18-Sep-2019 23:19:12	+       if (groupByBaseband):
build	18-Sep-2019 23:19:12	+          baseband = basebands[bbctr]
build	18-Sep-2019 23:19:12	+          spwsToPlot = spwsToPlotInBaseband[bbctr]
build	18-Sep-2019 23:19:12	+          if (debug): print("setting spwsToPlot for baseband %d (bbctr=%d) to %s" % (baseband, bbctr, str(spwsToPlot)))
build	18-Sep-2019 23:19:12	+       else:
build	18-Sep-2019 23:19:12	+           baseband = 0  # add from here to "ispw=" on 2014-04-05
build	18-Sep-2019 23:19:12	+           if (cu.compare_version('>=',[4,1,0])):
build	18-Sep-2019 23:19:12	+               if (debug): print("A, msName=%s, vis=%s" % (msName,vis))
build	18-Sep-2019 23:19:12	+               if (getBasebandDict(vis=msName,caltable=caltable,mymsmd=mymsmd) != {}):
build	18-Sep-2019 23:19:12	+                   if (debug): print("B")
build	18-Sep-2019 23:19:12	+                   try:
build	18-Sep-2019 23:19:12	+                       baseband = mymsmd.baseband(originalSpwsToPlot[spwctr])
build	18-Sep-2019 23:19:12	+                       if (debug): print("C")
build	18-Sep-2019 23:19:12	+                       if (baseband not in basebands):
build	18-Sep-2019 23:19:12	+                           if (debug): print("B)incrementing spwctr")
build	18-Sep-2019 23:19:12	+                           spwctr += 1
build	18-Sep-2019 23:19:12	+                           continue
build	18-Sep-2019 23:19:12	+                   except:
build	18-Sep-2019 23:19:12	+                       pass
build	18-Sep-2019 23:19:12	+               if (debug): print("D")
build	18-Sep-2019 23:19:12	+       if (debug):
build	18-Sep-2019 23:19:12	+           if (overlayBasebands):
build	18-Sep-2019 23:19:12	+               print("Regardless of baseband (%s), plotting all spws: %s" % (basebands,str(spwsToPlot)))
build	18-Sep-2019 23:19:12	+           else:
build	18-Sep-2019 23:19:12	+               print("Showing baseband %d containing spws: %s" % (baseband,str(spwsToPlot)))
build	18-Sep-2019 23:19:12	+       if (bbctr < len(spwsToPlotInBaseband)):
build	18-Sep-2019 23:19:12	+           if (debug): print("---------------------- B) Setting spwctr=0")
build	18-Sep-2019 23:19:12	+           spwctr = 0
build	18-Sep-2019 23:19:12	+           spwctrFirstToPlot = spwctr
build	18-Sep-2019 23:19:12	+       firstSpwMatch = -1
build	18-Sep-2019 23:19:12	+       while (spwctr < len(spwsToPlot)):
build	18-Sep-2019 23:19:12	+                if (debug): print("at top of spwctr loop, spwctr=%d" % (spwctr))
build	18-Sep-2019 23:19:12	+                allTimesFlaggedOnThisSpw = True # used only by overlay='time'
build	18-Sep-2019 23:19:12	+                if (groupByBaseband == False):
build	18-Sep-2019 23:19:12	+                    baseband = 0
build	18-Sep-2019 23:19:12	+                    if (cu.compare_version('>=',[4,1,0])):
build	18-Sep-2019 23:19:12	+                        if (getBasebandDict(vis=msName,caltable=caltable,mymsmd=mymsmd) != {}):
build	18-Sep-2019 23:19:12	+                            try:
build	18-Sep-2019 23:19:12	+                                baseband = mymsmd.baseband(originalSpwsToPlot[spwctr])
build	18-Sep-2019 23:19:12	+                                if (baseband not in basebands):
build	18-Sep-2019 23:19:12	+                                    #                          print("spw %d=%d: baseband %d is not in %s" % (spwsToPlot[spwctr],originalSpwsToPlot[spwctr], baseband, basebands))
build	18-Sep-2019 23:19:12	+                                    if (debug): print("Bb)incrementing spwctr")
build	18-Sep-2019 23:19:12	+                                    spwctr += 1
build	18-Sep-2019 23:19:12	+                                    continue
build	18-Sep-2019 23:19:12	+                            except:
build	18-Sep-2019 23:19:12	+                                pass
build	18-Sep-2019 23:19:12	+                ispw = spwsToPlot[spwctr]
build	18-Sep-2019 23:19:12	+                ispwInCalTable = list(uniqueSpwsInCalTable).index(ispw)
build	18-Sep-2019 23:19:12	+                mytime = 0
build	18-Sep-2019 23:19:12	+                if (debug):
build	18-Sep-2019 23:19:12	+                    print("+++++++ set mytime=0 for ispw=%d, len(chanFreqGHz) = %d" % (ispw, len(chanFreqGHz)))
build	18-Sep-2019 23:19:12	+                if (overlayAntennas):
build	18-Sep-2019 23:19:12	+                    xctr = -1
build	18-Sep-2019 23:19:12	+                if (overlayTimes):
build	18-Sep-2019 23:19:12	+                    # since the times/scans can vary between spws, redefine nUniqueTimes for each spw
build	18-Sep-2019 23:19:12	+                    nUniqueTimes = len(uniqueTimesCopy)
build	18-Sep-2019 23:19:12	+                    uniqueTimes = uniqueTimesCopy[:]
build	18-Sep-2019 23:19:12	+                    uniqueTimesForSpw = []
build	18-Sep-2019 23:19:12	+                    testtime = 0
build	18-Sep-2019 23:19:12	+                    while (testtime < nUniqueTimes):
build	18-Sep-2019 23:19:12	+                        if (ispw in cal_desc_id[np.where(uniqueTimes[testtime] == times)[0]]):
build	18-Sep-2019 23:19:12	+                            uniqueTimesForSpw.append(uniqueTimes[testtime])
build	18-Sep-2019 23:19:12	+                        testtime += 1
build	18-Sep-2019 23:19:12	+                    uniqueTimes = uniqueTimesForSpw[:]
build	18-Sep-2019 23:19:12	+                    if (tableFormat >= 34):
build	18-Sep-2019 23:19:12	+                        scansForUniqueTimes, nUniqueTimes = computeScansForUniqueTimes(uniqueTimes, cal_scans, times, unique_cal_scans)
build	18-Sep-2019 23:19:12	+                    else:
build	18-Sep-2019 23:19:12	+                        nUniqueTimes = len(uniqueTimes)
build	18-Sep-2019 23:19:12	+                if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:12	+                    if (xctr >= firstUnflaggedAntennaToPlot):
build	18-Sep-2019 23:19:12	+                        if (debug):
build	18-Sep-2019 23:19:12	+                            print("xctr=%d >= firstUnflaggedAntennaToPlot=%d, decrementing spwctr to %d" % (xctr, firstUnflaggedAntennaToPlot,spwctr-1))
build	18-Sep-2019 23:19:12	+                        spwctr -= 1
build	18-Sep-2019 23:19:12	+              
build	18-Sep-2019 23:19:12	+                firstTimeMatch = -1
build	18-Sep-2019 23:19:12	+                while (mytime < nUniqueTimes):
build	18-Sep-2019 23:19:12	+                  finalTimerangeFlagged = False  # 04-Aug-2014
build	18-Sep-2019 23:19:12	+                  if (debug):
build	18-Sep-2019 23:19:12	+                      print("mytime = %d < %d, uniqueTimes[mytime] = %s" % (mytime,nUniqueTimes,str(uniqueTimes[mytime])))
build	18-Sep-2019 23:19:12	+                      print("timerangeList = %s" % (str(timerangeList)))
build	18-Sep-2019 23:19:12	+                      print("timerangeListTimes = %s" % (str(timerangeListTimes)))
build	18-Sep-2019 23:19:12	+                      print("debugSloppyMatch = %s" % (str(debugSloppyMatch)))
build	18-Sep-2019 23:19:12	+                      print("solutionTimeThresholdSeconds = %s" % (str(solutionTimeThresholdSeconds)))
build	18-Sep-2019 23:19:12	+                  if (len(timerangeList) > 0 and (sloppyMatch(uniqueTimes[mytime],timerangeListTimes,solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                                              mytime, scansToPlot, scansForUniqueTimes, myprint=debugSloppyMatch)==False)): # task version
build	18-Sep-2019 23:19:12	+#                                                              mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes, myprint=debugSloppyMatch)==False)):  # causes infinite loop on test 85
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("Skipping time %d because it is not in the list: %s" % (mytime, str(timerangeList)))
build	18-Sep-2019 23:19:12	+                      mytime += 1
build	18-Sep-2019 23:19:12	+                      if (mytime == nUniqueTimes and overlayTimes and overlayAntennas):  
build	18-Sep-2019 23:19:12	+                          # added March 14, 2013 to support the case when final timerange is flagged
build	18-Sep-2019 23:19:12	+                          doneOverlayTime = False
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                              print("$$$$$$$$$$$$$$$$$$$$$$  Setting doneOverlayTime=False" % (xframe))
build	18-Sep-2019 23:19:12	+                      continue
build	18-Sep-2019 23:19:12	+                  if (overlayAntennas):
build	18-Sep-2019 23:19:12	+                      xctr += 1
build	18-Sep-2019 23:19:12	+                      if (xctr >= len(antennasToPlot)):
build	18-Sep-2019 23:19:12	+                          xctr = 0
build	18-Sep-2019 23:19:12	+                      xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("mytime=%d, Set xant to %d" % (mytime,xant))
build	18-Sep-2019 23:19:12	+                      antennaString = ''
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      antennaString = 'Ant%2d: %s,  ' % (xant,antstring)
build	18-Sep-2019 23:19:12	+                  if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:12	+                      if (debug): print("C)incrementing spwctr to %d" % (spwctr+1))
build	18-Sep-2019 23:19:12	+                      spwctr += 1
build	18-Sep-2019 23:19:12	+                      if (spwctr >= len(spwsToPlot)):
build	18-Sep-2019 23:19:12	+                          if (debug): print("---------------------- C) Setting spwctr=0")
build	18-Sep-2019 23:19:12	+                          spwctr = 0
build	18-Sep-2019 23:19:12	+                          if (xctr < firstUnflaggedAntennaToPlot):
build	18-Sep-2019 23:19:12	+                              xctr += 1
build	18-Sep-2019 23:19:12	+                              if (xctr == len(antennasToPlot)): 
build	18-Sep-2019 23:19:12	+                                  break
build	18-Sep-2019 23:19:12	+                              xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:12	+                              antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("mytime=%d, Set xant to %d" % (mytime,xant))
build	18-Sep-2019 23:19:12	+                              antennaString = 'Ant%2d: %s,  ' % (xant,antstring)
build	18-Sep-2019 23:19:12	+                          if (overlayBasebands):
build	18-Sep-2019 23:19:12	+                              # Added on 7/29/2014 to fix infinite loop in uid___A002_X652932_X20fb bandpass
build	18-Sep-2019 23:19:12	+                              if (mytime == nUniqueTimes):
build	18-Sep-2019 23:19:12	+                                  spwctr = len(spwsToPlot)
build	18-Sep-2019 23:19:12	+                                  break
build	18-Sep-2019 23:19:12	+                      ispw = spwsToPlot[spwctr]
build	18-Sep-2019 23:19:12	+                      ispwInCalTable = list(uniqueSpwsInCalTable).index(ispw)
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("----------------------------- spwctr=%d, ispw set to %d, xctr=%d" % (spwctr,ispw,xctr))
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+                  # This used to be above the previous if/else block
build	18-Sep-2019 23:19:12	+                  if (newpage==1):
build	18-Sep-2019 23:19:12	+                      # add the current page (being created here) to the list
build	18-Sep-2019 23:19:12	+                      pages.append([xctr,spwctr,mytime,0])
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("top: appending [%d,%d,%d,%d]" % (xctr,spwctr,mytime,0))
build	18-Sep-2019 23:19:12	+                      newpage = 0
build	18-Sep-2019 23:19:12	+                  gplotx = []
build	18-Sep-2019 23:19:12	+                  gploty = []
build	18-Sep-2019 23:19:12	+                  channels = []
build	18-Sep-2019 23:19:12	+                  xchannels = []
build	18-Sep-2019 23:19:12	+                  ychannels = []
build	18-Sep-2019 23:19:12	+                  frequencies = []
build	18-Sep-2019 23:19:12	+                  xfrequencies = []
build	18-Sep-2019 23:19:12	+                  yfrequencies = []
build	18-Sep-2019 23:19:12	+                  channels2 = []
build	18-Sep-2019 23:19:12	+                  xchannels2 = []
build	18-Sep-2019 23:19:12	+                  ychannels2 = []
build	18-Sep-2019 23:19:12	+                  frequencies2 = []
build	18-Sep-2019 23:19:12	+                  xfrequencies2 = []
build	18-Sep-2019 23:19:12	+                  yfrequencies2 = []
build	18-Sep-2019 23:19:12	+                  gplotx2 = []
build	18-Sep-2019 23:19:12	+                  gploty2 = []
build	18-Sep-2019 23:19:12	+                  xflag = []
build	18-Sep-2019 23:19:12	+                  yflag = []
build	18-Sep-2019 23:19:12	+                  xflag2 = []
build	18-Sep-2019 23:19:12	+                  yflag2 = []
build	18-Sep-2019 23:19:12	+                  matchFound = False
build	18-Sep-2019 23:19:12	+                  matchField = -1
build	18-Sep-2019 23:19:12	+                  matchRow = -1
build	18-Sep-2019 23:19:12	+                  matchTime = -1
build	18-Sep-2019 23:19:12	+                  if (debug): print("looping over all nRows = %d" % (nRows))
build	18-Sep-2019 23:19:12	+                  for i in range(nRows):
build	18-Sep-2019 23:19:12	+                      if (overlayTimes or overlayAntennas or len(fieldsToPlot)>1 or
build	18-Sep-2019 23:19:12	+                          (nFields>1 and len(fieldlist)<nFields)):
build	18-Sep-2019 23:19:12	+                          # When there are multiple fields, then matching by scan causes the first
build	18-Sep-2019 23:19:12	+                          # matching solution to be displayed every time.  So use the original method
build	18-Sep-2019 23:19:12	+                          # of matching by time until I think of something better.
build	18-Sep-2019 23:19:12	+                          sm = sloppyMatch(uniqueTimes[mytime],times[i],solutionTimeThresholdSeconds,myprint=False)
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          if (overlayBasebands):
build	18-Sep-2019 23:19:12	+                              sTP = scansToPlot
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              sTP = scansToPlotPerSpw[ispw]
build	18-Sep-2019 23:19:12	+                          sm = sloppyMatch(uniqueTimes[mytime],times[i],solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                           mytime, sTP, scansForUniqueTimes, myprint=False) # au version
build	18-Sep-2019 23:19:12	+                      if ((ant[i]==xant) and (cal_desc_id[i]==ispw) and sm
build	18-Sep-2019 23:19:12	+                          and (mytime in timerangeList)   # this test was added to support multiFieldInTimeOverlay
build	18-Sep-2019 23:19:12	+                          ):
build	18-Sep-2019 23:19:12	+                          if (debug): print("len(chanFreqGHz)=%d, ispw=%d" % (len(chanFreqGHz),ispw))
build	18-Sep-2019 23:19:12	+                          if (msFound or tableFormat==34):
build	18-Sep-2019 23:19:12	+                              if (len(chanFreqGHz[ispw]) == 1):
build	18-Sep-2019 23:19:12	+                                  if ((skippingSpwMessageSent & (1<<ispw)) == 0):
build	18-Sep-2019 23:19:12	+                                      casalogPost(debug,"Skipping spw=%d because it has only 1 channel." % (ispw))
build	18-Sep-2019 23:19:12	+                                      skippingSpwMessageSent |= (1<<ispw)
build	18-Sep-2019 23:19:12	+                                  break
build	18-Sep-2019 23:19:12	+                          if (fields[i] in fieldsToPlot):
build	18-Sep-2019 23:19:12	+                              interval = intervals[i] # used for CalcAtmTransmission
build	18-Sep-2019 23:19:12	+                              myFieldIndex = np.where(fields[i] == uniqueFields)[0]
build	18-Sep-2019 23:19:12	+                              if (type(myFieldIndex) == list or type(myFieldIndex) == np.ndarray):
build	18-Sep-2019 23:19:12	+                                  myFieldIndex = myFieldIndex[0]
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("%d Found match at field,ant,spw,mytime,time = %d(index=%d),%d,%d,%d,%f=%s" % (matchctr,fields[i],myFieldIndex,xant,ispw,mytime,uniqueTimes[mytime],utstring(uniqueTimes[mytime],4)))
build	18-Sep-2019 23:19:12	+                              if (matchFound):
build	18-Sep-2019 23:19:12	+                                  if (myFieldIndex == matchField and matchTime==times[i]):
build	18-Sep-2019 23:19:12	+                                      print("WARNING: multiple rows for field=%d,ant=%d,spw=%d,scan=%d,time=%d=%.0f=%s,row=%d. Only showing the first one." % (fields[i],xant,ispw,scansForUniqueTimes[mytime],mytime,uniqueTimes[mytime],utstring(uniqueTimes[mytime],3),i))
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  matchFound = True
build	18-Sep-2019 23:19:12	+                                  fieldIndex = myFieldIndex
build	18-Sep-2019 23:19:12	+                                  matchField = myFieldIndex
build	18-Sep-2019 23:19:12	+                                  matchTime = times[i]
build	18-Sep-2019 23:19:12	+                                  matchRow = i
build	18-Sep-2019 23:19:12	+                                  if (msFound or tableFormat==34):
build	18-Sep-2019 23:19:12	+                                      nChannels = len(chanFreqGHz[ispw])
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      nChannels = len(ggx[0])
build	18-Sep-2019 23:19:12	+                                  xflag.append(flags[i][0][:])
build	18-Sep-2019 23:19:12	+                                  yflag.append(flags[i][1][:])
build	18-Sep-2019 23:19:12	+                                  BRowNumber = i
build	18-Sep-2019 23:19:12	+                                  for j in range(nChannels):   # len(chanFreqGHz[ispw])):
build	18-Sep-2019 23:19:12	+                                      channels.append(j)  # both flagged and unflagged
build	18-Sep-2019 23:19:12	+                                      if (msFound or tableFormat==34):
build	18-Sep-2019 23:19:12	+                                          frequencies.append(chanFreqGHz[ispw][j])
build	18-Sep-2019 23:19:12	+                                          if (j==0 and debug):
build	18-Sep-2019 23:19:12	+                                              print("found match: ispw=%d, j=%d, len(chanFreqGHz)=%d, chanFreqGHz[0]=%f" % (ispw,j, len(chanFreqGHz),chanFreqGHz[ispw][0]))
build	18-Sep-2019 23:19:12	+                                      if (showflagged or (showflagged == False and flags[i][0][j]==0)):
build	18-Sep-2019 23:19:12	+                                          gplotx.append(ggx[i][j])
build	18-Sep-2019 23:19:12	+                                          xchannels.append(j)
build	18-Sep-2019 23:19:12	+                                          if (msFound or tableFormat==34):
build	18-Sep-2019 23:19:12	+                                              xfrequencies.append(chanFreqGHz[ispw][j])
build	18-Sep-2019 23:19:12	+                                      if (nPolarizations == 2):
build	18-Sep-2019 23:19:12	+                                          if (showflagged or (showflagged == False and flags[i][1][j]==0)):
build	18-Sep-2019 23:19:12	+                                              gploty.append(ggy[i][j])
build	18-Sep-2019 23:19:12	+                                              ychannels.append(j)
build	18-Sep-2019 23:19:12	+                                              if (msFound or tableFormat==34):
build	18-Sep-2019 23:19:12	+                                                  yfrequencies.append(chanFreqGHz[ispw][j])
build	18-Sep-2019 23:19:12	+                  # end 'for i'
build	18-Sep-2019 23:19:12	+#                  if (not matchFound and newpage==0 and firstTimeMatch==-1): 
build	18-Sep-2019 23:19:12	+                  if (not matchFound and newpage==0):
build	18-Sep-2019 23:19:12	+                      if (subplot==11 or (subplot!=11 and firstSpwMatch==-1 and firstTimeMatch==-1)): 
build	18-Sep-2019 23:19:12	+                          # Fix for CAS-7753   
build	18-Sep-2019 23:19:12	+                          # the firstTimeMatch part was needed for regression 65: different antennas having different solution times
build	18-Sep-2019 23:19:12	+                          newpage = 1
build	18-Sep-2019 23:19:12	+                          pages = pages[:len(pages)-1]
build	18-Sep-2019 23:19:12	+                  myspw = originalSpw[ispw]
build	18-Sep-2019 23:19:12	+                  if (msFound):
build	18-Sep-2019 23:19:12	+                      if debug: 
build	18-Sep-2019 23:19:12	+                          print("myspw=%s" % (str(myspw)))
build	18-Sep-2019 23:19:12	+                          print("len(refFreq)=%d" % (len(refFreq)))
build	18-Sep-2019 23:19:12	+                      if (myspw >= len(refFreq)):
build	18-Sep-2019 23:19:12	+                          myspw = ispw
build	18-Sep-2019 23:19:12	+                  if (msFound and refFreq[myspw]*1e-9 > 60):
build	18-Sep-2019 23:19:12	+                    # Then this cannot be EVLA data.  But I should really check the telescope name!
build	18-Sep-2019 23:19:12	+#                    if (refFreq[myspw]*1e-9 > np.mean(frequencies)):
build	18-Sep-2019 23:19:12	+                    if (refFreq[myspw]*1e-9 > np.mean(chanFreqGHz[ispw])):  # this is safer (since frequencies might be [])
build	18-Sep-2019 23:19:12	+                        sideband = -1
build	18-Sep-2019 23:19:12	+                        xlabelString = "%s LSB Frequency (GHz)" % refTypeToString(measFreqRef[myspw])
build	18-Sep-2019 23:19:12	+                    else:
build	18-Sep-2019 23:19:12	+                        sideband = +1
build	18-Sep-2019 23:19:12	+                        xlabelString = "%s USB Frequency (GHz)" % refTypeToString(measFreqRef[myspw])
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      sideband = -1
build	18-Sep-2019 23:19:12	+                      xlabelString = "Frequency (GHz)"
build	18-Sep-2019 23:19:12	+                  if ((len(frequencies)>0) and (chanrange[1] > len(frequencies))):
build	18-Sep-2019 23:19:12	+                      print("Invalid chanrange (%d-%d) for spw%d in caltable1. Valid range = 0-%d" % (chanrange[0],chanrange[1],ispw,len(frequencies)-1))
build	18-Sep-2019 23:19:12	+                      return()
build	18-Sep-2019 23:19:12	+                  pchannels = [xchannels,ychannels]
build	18-Sep-2019 23:19:12	+                  pfrequencies = [xfrequencies,yfrequencies]
build	18-Sep-2019 23:19:12	+                  gplot = [gplotx,gploty]
build	18-Sep-2019 23:19:12	+                  # We only need to compute the atmospheric transmission if:
build	18-Sep-2019 23:19:12	+                  #   * we have been asked to show it,
build	18-Sep-2019 23:19:12	+                  #   * there is a non-trivial number of channels, 
build	18-Sep-2019 23:19:12	+                  #   * the current field is the one for which we should calculate it (if times are being overlaied)
build	18-Sep-2019 23:19:12	+                  #       But this will cause no atmcurve to appear if that field is flagged on the first
build	18-Sep-2019 23:19:12	+                  #       antenna; so, I added the atmEverBeenShown flag to deal with this.
build	18-Sep-2019 23:19:12	+                  #   * the previous calculation is not identical to what this one will be
build	18-Sep-2019 23:19:12	+                  #
build	18-Sep-2019 23:19:12	+                  if ((showatm or showtsky) and (len(xchannels)>1 or len(ychannels)>1) and
build	18-Sep-2019 23:19:12	+                      ((uniqueFields[fieldIndex]==showatmfield or 
build	18-Sep-2019 23:19:12	+                       (uniqueFields[fieldIndex] in fieldsToPlot and overlayTimes)) or # this insures a plot if first fieldsToPlot is missing
build	18-Sep-2019 23:19:12	+                       overlayTimes==False or atmEverBeenShown==False) and
build	18-Sep-2019 23:19:12	+                      ((overlayTimes==False and computedAtmField!=fieldIndex) or (computedAtmSpw!=ispw) or
build	18-Sep-2019 23:19:12	+                       (overlayTimes==False and computedAtmTime!=mytime))):
build	18-Sep-2019 23:19:12	+                    atmEverBeenShown = True
build	18-Sep-2019 23:19:12	+                    # The following 'if' is used to avoid wasting time since atm is not shown for
build	18-Sep-2019 23:19:12	+                    # overlay='antenna,time'.
build	18-Sep-2019 23:19:12	+                    if (overlayTimes==False or overlayAntennas==False or True):  # support showatm for overlay='antenna,time'
build	18-Sep-2019 23:19:12	+#       #            if (overlayTimes==False or overlayAntennas==False):
build	18-Sep-2019 23:19:12	+# #     # #            print("CAF, CAS, CAT = ", computedAtmField, computedAtmSpw, computedAtmTime)
build	18-Sep-2019 23:19:12	+                      if (type(fieldIndex) == list or type(fieldIndex) == np.ndarray):
build	18-Sep-2019 23:19:12	+                          computedAtmField = fieldIndex[0]
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          computedAtmField = fieldIndex
build	18-Sep-2019 23:19:12	+                      computedAtmSpw = ispw
build	18-Sep-2019 23:19:12	+                      computedAtmTime = mytime
build	18-Sep-2019 23:19:12	+                      atmtime = timeUtilities.time()
build	18-Sep-2019 23:19:12	+                      asdm = ''
build	18-Sep-2019 23:19:12	+# #     # #            print("A) uniqueFields[%d] = " % (fieldIndex), uniqueFields[fieldIndex])
build	18-Sep-2019 23:19:12	+                      uFFI = uniqueFields[fieldIndex]
build	18-Sep-2019 23:19:12	+                      if (type(uFFI) == type(np.ndarray(0))):
build	18-Sep-2019 23:19:12	+                          uFFI = uFFI[0]
build	18-Sep-2019 23:19:12	+                          if (debug): print("converting uFFI from array to %s" % (str(type(uFFI))))
build	18-Sep-2019 23:19:12	+                      (atmfreq,atmchan,transmission,pwvmean,atmairmass,TebbSky,missingCalWVRErrorPrinted) = \
build	18-Sep-2019 23:19:12	+                         CalcAtmTransmission(channels, frequencies, xaxis, pwv,
build	18-Sep-2019 23:19:12	+                                 vm, mymsmd, msName, asdm, xant, uniqueTimes[mytime],
build	18-Sep-2019 23:19:12	+                                 interval, uFFI, refFreq[originalSpw[ispw]],
build	18-Sep-2019 23:19:12	+                                 net_sideband[originalSpw[ispw]], mytime, 
build	18-Sep-2019 23:19:12	+                                 missingCalWVRErrorPrinted, caltable, verbose=DEBUG)
build	18-Sep-2019 23:19:12	+                      if (showimage):
build	18-Sep-2019 23:19:12	+#                          print("len(lo1s)=%d =  " % (len(lo1s)), lo1s)
build	18-Sep-2019 23:19:12	+                          if (lo1 != ''):
build	18-Sep-2019 23:19:12	+                              # lo1 was specified on the command line
build	18-Sep-2019 23:19:12	+                              LO1 = lo1
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                            if (getLOsReturnValue == []):
build	18-Sep-2019 23:19:12	+                              if (lo1 == ''):
build	18-Sep-2019 23:19:12	+                                  print("Because you do not have the ASDM_RECEIVER table, if you want the showimage")
build	18-Sep-2019 23:19:12	+                                  print("option to work, then you must specify the LO1 frequency with lo1=.")
build	18-Sep-2019 23:19:12	+# #     # #                        return()
build	18-Sep-2019 23:19:12	+                              LO1 = lo1
build	18-Sep-2019 23:19:12	+                            else:
build	18-Sep-2019 23:19:12	+                              if (lo1s is None or lo1s == {}):
build	18-Sep-2019 23:19:12	+                                  print("Failed to get LO1, disabling showimage.  Alternatively, you can use printLOsFromASDM and supply the lo1 parameter to plotbandpass.")
build	18-Sep-2019 23:19:12	+                                  showimage = False
build	18-Sep-2019 23:19:12	+                                  LO1 = ''
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                if (originalSpw[ispw] not in lo1s.keys()):
build	18-Sep-2019 23:19:12	+                                    print("There is a problem in reading the LO1 values, cannot showimage for this dataset.")
build	18-Sep-2019 23:19:12	+                                    showimage = False
build	18-Sep-2019 23:19:12	+                                    LO1 = ''
build	18-Sep-2019 23:19:12	+                                else:
build	18-Sep-2019 23:19:12	+                                  LO1 = lo1s[originalSpw[ispw]]*1e-9  
build	18-Sep-2019 23:19:12	+                                  if (ispw not in foundLO1Message):
build	18-Sep-2019 23:19:12	+                                      casalogPost(debug,"For spw %d (%d), found LO1 = %.6f GHz" % (ispw,originalSpw[ispw],LO1))
build	18-Sep-2019 23:19:12	+                                      foundLO1Message.append(ispw)
build	18-Sep-2019 23:19:12	+                      if (LO1 != '' and LO1 is not None):
build	18-Sep-2019 23:19:12	+                          frequenciesImage = list(2*LO1 - np.array(frequencies))
build	18-Sep-2019 23:19:12	+                          xfrequenciesImage = list(2*LO1 - np.array(pfrequencies[0]))
build	18-Sep-2019 23:19:12	+                          yfrequenciesImage = list(2*LO1 - np.array(pfrequencies[1]))
build	18-Sep-2019 23:19:12	+                          pfrequenciesImage = [xfrequenciesImage, yfrequenciesImage]
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                             print("B) uniqueFields[%d] = %s" % (fieldIndex, str(uniqueFields[fieldIndex])))
build	18-Sep-2019 23:19:12	+                          uFFI = uniqueFields[fieldIndex]
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                             print("type(uFFI) = %s" % (str(type(uFFI))))
build	18-Sep-2019 23:19:12	+                          if (type(uFFI) == list or type(uFFI) == type(np.ndarray(0))):
build	18-Sep-2019 23:19:12	+                             uFFI = uFFI[0]
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                             print("uFFI = %s" % (str(uFFI)))
build	18-Sep-2019 23:19:12	+                          (atmfreqImage,atmchanImage,transmissionImage,pwvmean,atmairmass,TebbSkyImage,missingCalWVRErrorPrinted) = \
build	18-Sep-2019 23:19:12	+                              CalcAtmTransmission(channels, frequenciesImage, xaxis,
build	18-Sep-2019 23:19:12	+                                                  pwv, vm, mymsmd, msName, asdm, xant, uniqueTimes[mytime],
build	18-Sep-2019 23:19:12	+                                                  interval, uFFI, refFreq[originalSpw[ispw]],
build	18-Sep-2019 23:19:12	+                                                  net_sideband[originalSpw[ispw]], mytime, 
build	18-Sep-2019 23:19:12	+                                                  missingCalWVRErrorPrinted, caltable, verbose=DEBUG)
build	18-Sep-2019 23:19:12	+                          # difference between the requested Atm freq and actual Atm calcuation CAS-7715. No longer necessary after CAS-10228.
build	18-Sep-2019 23:19:12	+                          #chanDifference = atmfreq[0]-frequencies[0] 
build	18-Sep-2019 23:19:12	+                          #chanImageDifference = atmfreqImage[0]-frequenciesImage[-1]
build	18-Sep-2019 23:19:12	+                          #print("signal SB difference = %f, image SB difference = %f" % (chanDifference, chanImageDifference))
build	18-Sep-2019 23:19:12	+                          atmfreqImage = list(2*LO1 - np.array(atmfreqImage)) # + 2*chanDifference + chanImageDifference)  # CAS-7715 adds final 2 terms  
build	18-Sep-2019 23:19:12	+                          atmchanImage.reverse()
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                      if (overlayTimes):
build	18-Sep-2019 23:19:12	+                          atmString = 'PWV %.2fmm, airmass %.2f (field %d)' % (pwvmean,atmairmass,showatmfield)
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          atmString = 'PWV %.2fmm, airmass %.3f' % (pwvmean,atmairmass)
build	18-Sep-2019 23:19:12	+                  if (bOverlay):
build	18-Sep-2019 23:19:12	+                    for i in range(nRows2):
build	18-Sep-2019 23:19:12	+                      if (overlayTimes or overlayAntennas or len(fieldsToPlot)>1 or
build	18-Sep-2019 23:19:12	+                          (nFields>1 and len(fieldlist)<nFields)):
build	18-Sep-2019 23:19:12	+                          # Not having this path causes Tsys table overlays to behave like overlay='antenna,time' 
build	18-Sep-2019 23:19:12	+                          # for caltable2.
build	18-Sep-2019 23:19:12	+                          sm = sloppyMatch(uniqueTimes2[mytime],times2[i],solutionTimeThresholdSeconds,myprint=False)
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          if (mytime >= len(uniqueTimes2)):
build	18-Sep-2019 23:19:12	+                              # Fix for CAS-9474: avoid calling sloppyMatch because it will crash.  
build	18-Sep-2019 23:19:12	+                              # Setting sm=False will result in an abort: "no amp data found in second solution."
build	18-Sep-2019 23:19:12	+                              sm = False
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              sm = sloppyMatch(uniqueTimes2[mytime],times2[i],solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                           mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes,  # au version
build	18-Sep-2019 23:19:12	+                                           myprint=debugSloppyMatch)
build	18-Sep-2019 23:19:12	+                      if ((ant2[i]==xant) and (cal_desc_id2[i]==ispw) and sm
build	18-Sep-2019 23:19:12	+                          and (mytime in timerangeList)   # added to match first caltable logic on 2014-04-09
build	18-Sep-2019 23:19:12	+                          ):
build	18-Sep-2019 23:19:12	+                          if (fields2[i] in fieldsToPlot):
build	18-Sep-2019 23:19:12	+                                xflag2.append(flags2[i][0][:])
build	18-Sep-2019 23:19:12	+                                yflag2.append(flags2[i][1][:])
build	18-Sep-2019 23:19:12	+                                # With solint='2ch' or more, the following loop should not be over
build	18-Sep-2019 23:19:12	+                                # chanFreqGHz2 but over the channels in the solution.
build	18-Sep-2019 23:19:12	+                                for j in range(len(chanFreqGHz2[ispw])):
build	18-Sep-2019 23:19:12	+                                  channels2.append(j)
build	18-Sep-2019 23:19:12	+                                  frequencies2.append(chanFreqGHz2[ispw][j])
build	18-Sep-2019 23:19:12	+# #     # #                        print("len(chanFreqGHz2[%d])=%d, i=%d,j=%d, len(ggx2)=%d, len(ggx2[0])=%d, shape(ggx2) = " % (ispw,len(chanFreqGHz2[ispw]),i,j,len(ggx2),len(ggx2[0])), np.shape(np.array(ggx2)))
build	18-Sep-2019 23:19:12	+                                  if (showflagged or (showflagged == False and flags2[i][0][j]==0)):
build	18-Sep-2019 23:19:12	+                                      gplotx2.append(ggx2[i][j])
build	18-Sep-2019 23:19:12	+                                      xchannels2.append(j)
build	18-Sep-2019 23:19:12	+                                      xfrequencies2.append(chanFreqGHz2[ispw][j])
build	18-Sep-2019 23:19:12	+                                  if (nPolarizations2 == 2):
build	18-Sep-2019 23:19:12	+                                      if (showflagged or (showflagged == False and flags2[i][1][j]==0)):
build	18-Sep-2019 23:19:12	+                                          gploty2.append(ggy2[i][j])
build	18-Sep-2019 23:19:12	+                                          ychannels2.append(j)
build	18-Sep-2019 23:19:12	+                                          yfrequencies2.append(chanFreqGHz2[ispw][j])
build	18-Sep-2019 23:19:12	+                    # end 'for i'
build	18-Sep-2019 23:19:12	+                    pchannels2 = [xchannels2,ychannels2]
build	18-Sep-2019 23:19:12	+                    pfrequencies2 = [xfrequencies2,yfrequencies2]
build	18-Sep-2019 23:19:12	+                    gplot2 = [gplotx2,gploty2]
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                  if (matchFound==False):
build	18-Sep-2019 23:19:12	+                      if ((overlayAntennas==False and overlaySpws==False and overlayBasebands==False) or
build	18-Sep-2019 23:19:12	+                          (overlayAntennas and xctr+1 >= len(antennasToPlot)) or
build	18-Sep-2019 23:19:12	+                          ((overlaySpws or overlayBasebands) and spwctr+1 >= len(spwsToPlot))):
build	18-Sep-2019 23:19:12	+                          mytime += 1
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                              print("a) xctr=%d, Incrementing mytime to %d" % (xctr, mytime))
build	18-Sep-2019 23:19:12	+                      continue
build	18-Sep-2019 23:19:12	+                  #  The following variable allows color legend of UT times to match line plot
build	18-Sep-2019 23:19:12	+                  myUniqueTime = []
build	18-Sep-2019 23:19:12	+                  if (True):  # multiFieldsWithOverlayTime):
build	18-Sep-2019 23:19:12	+                      # support multi-fields with overlay='time'
build	18-Sep-2019 23:19:12	+                      uTPFPS = []
build	18-Sep-2019 23:19:12	+                      for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:12	+                          for t in uniqueTimesPerFieldPerSpw[ispwInCalTable][f]:
build	18-Sep-2019 23:19:12	+                              if (sloppyMatch(t, timerangeListTimes, solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                              mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes, # au version
build	18-Sep-2019 23:19:12	+#                                              mytime, scansToPlot, scansForUniqueTimes, # task version
build	18-Sep-2019 23:19:12	+                                              myprint=debugSloppyMatch
build	18-Sep-2019 23:19:12	+                                              )):
build	18-Sep-2019 23:19:12	+                                  uTPFPS.append(t)
build	18-Sep-2019 23:19:12	+                      uTPFPS = np.sort(uTPFPS)
build	18-Sep-2019 23:19:12	+                      ctr = 0
build	18-Sep-2019 23:19:12	+                      for t in uTPFPS:
build	18-Sep-2019 23:19:12	+                          if (debug and False):
build	18-Sep-2019 23:19:12	+                              print("1)checking time %d" % (t))
build	18-Sep-2019 23:19:12	+                          if (overlayTimes or overlayAntennas):
build	18-Sep-2019 23:19:12	+                              sm = sloppyMatch(uniqueTimes[mytime],times[i],solutionTimeThresholdSeconds,myprint=False)
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              sm = sloppyMatch(t, uniqueTimes[mytime], solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+#                                               mytime, scansToPlot, scansForUniqueTimes,  # task version
build	18-Sep-2019 23:19:12	+                                               mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes,  # au version
build	18-Sep-2019 23:19:12	+                                               myprint=debugSloppyMatch
build	18-Sep-2019 23:19:12	+                                               )
build	18-Sep-2019 23:19:12	+                          if (sm):
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("1)setting myUniqueTime to %d" % (mytime))
build	18-Sep-2019 23:19:12	+                              myUniqueTime = mytime
build	18-Sep-2019 23:19:12	+                              ctr += 1
build	18-Sep-2019 23:19:12	+                      if (ctr > fieldIndicesToPlot and bOverlay==False):
build	18-Sep-2019 23:19:12	+                          print("multi-field time overlay ***************  why are there 2 matches?")
build	18-Sep-2019 23:19:12	+# #     # #            if (ctr == 0):
build	18-Sep-2019 23:19:12	+# #     # #                print("No match for %.1f in "%(t), uTPFPS)
build	18-Sep-2019 23:19:12	+                  
build	18-Sep-2019 23:19:12	+# #     # #        print("Overlay antenna %d, myUniqueTime=%d" % (xctr, myUniqueTime))
build	18-Sep-2019 23:19:12	+                  if (xframe == xframeStart):
build	18-Sep-2019 23:19:12	+                        pb.clf()
build	18-Sep-2019 23:19:12	+                  xflag = [item for sublist in xflag for item in sublist]
build	18-Sep-2019 23:19:12	+                  yflag = [item for sublist in yflag for item in sublist]
build	18-Sep-2019 23:19:12	+#       #          pflag = [xflag, yflag]
build	18-Sep-2019 23:19:12	+#       #          flagfrequencies = [frequencies, frequencies2]
build	18-Sep-2019 23:19:12	+                  antstring, Antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:12	+                  if (msFound):
build	18-Sep-2019 23:19:12	+                      fieldString = msFields[uniqueFields[fieldIndex]]
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      fieldString = str(field)
build	18-Sep-2019 23:19:12	+                  if (overlayTimes):
build	18-Sep-2019 23:19:12	+                      timeString =''
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      timeString = ',  t%d/%d  %s' % (mytime,nUniqueTimes-1,utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:12	+                      if (scansForUniqueTimes != []):
build	18-Sep-2019 23:19:12	+                          if (scansForUniqueTimes[mytime]>=0):
build	18-Sep-2019 23:19:12	+                              timeString = ',  scan%d  %s' % (scansForUniqueTimes[mytime],utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:12	+                  spwString = buildSpwString(overlaySpws, overlayBasebands, spwsToPlot, 
build	18-Sep-2019 23:19:12	+                                             ispw, originalSpw[ispw], observatoryName, 
build	18-Sep-2019 23:19:12	+                                             baseband, showBasebandNumber)
build	18-Sep-2019 23:19:12	+                  titleString = "%sspw%s,  field %d: %s%s" % (antennaString,spwString,uniqueFields[fieldIndex],fieldString,timeString)
build	18-Sep-2019 23:19:12	+                  if (sum(xflag)==nChannels and sum(yflag)==nChannels and showflagged==False):
build	18-Sep-2019 23:19:12	+                      if (overlayTimes):
build	18-Sep-2019 23:19:12	+                          print("Skip %s (%s) for time%d=%s all data flagged" % (antstring, titleString,mytime,utstring(uniqueTimes[mytime],3)))
build	18-Sep-2019 23:19:12	+                          # need to set doneOverlayTime = True if this is the final time,
build	18-Sep-2019 23:19:12	+                          # otherwise, we get "subplot number exceeds total subplots" at line 2427
build	18-Sep-2019 23:19:12	+                          # but we need to draw the labels at the top of the page, else they will not get done
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                              print("########## uniqueTimes[%d]=%d,  timerangeListTimes[-1]=%d" % (mytime,uniqueTimes[mytime],timerangeListTimes[-1]))
build	18-Sep-2019 23:19:12	+                          if (len(scansToPlotPerSpw[ispw]) < 1):
build	18-Sep-2019 23:19:12	+                              sTPPS = []
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+#                              sTPPS = [scansToPlot[-1]]# added [[-1]] on 2014-04-04 for CAS-6394  task version
build	18-Sep-2019 23:19:12	+                              sTPPS = [scansToPlotPerSpw[ispw][-1]]# added [[-1]] on 2014-04-04 for CAS-6394  au version
build	18-Sep-2019 23:19:12	+                          if (sloppyMatch(timerangeListTimes[-1], uniqueTimes[mytime],
build	18-Sep-2019 23:19:12	+                                          solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                          mytime, sTPPS, scansForUniqueTimes,
build	18-Sep-2019 23:19:12	+                                          myprint=debugSloppyMatch
build	18-Sep-2019 23:19:12	+                                          )):
build	18-Sep-2019 23:19:12	+                              if (overlayAntennas == False or xant==antennasToPlot[-1]):  # 11-Mar-2014
build	18-Sep-2019 23:19:12	+                                  doneOverlayTime = True  # 08-Nov-2012
build	18-Sep-2019 23:19:12	+                                  finalTimerangeFlagged =  True  # 04-Aug-2014
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("###### set doneOverlayTime = %s" % (str(doneOverlayTime)))
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                              # draw labels
build	18-Sep-2019 23:19:12	+                              # try adding the following 'if' statement on Jun 18, 2013; it works.
build	18-Sep-2019 23:19:12	+#                              if (drewAtmosphere==False or overlayAntennas==False):
build	18-Sep-2019 23:19:12	+                              # Add the 'and not' case to prevent extra atm/fdms shown if one spw's solutions are all flagged
build	18-Sep-2019 23:19:12	+                              if (drewAtmosphere==False or (not overlayAntennas and not allTimesFlaggedOnThisSpw)):
build	18-Sep-2019 23:19:12	+                                  if (debug): print("drawOverlayTimeLegends loc 1")
build	18-Sep-2019 23:19:12	+                                  drawOverlayTimeLegends(xframe,firstFrame,xstartTitle,ystartTitle,
build	18-Sep-2019 23:19:12	+                                                         caltable,titlesize,fieldIndicesToPlot,
build	18-Sep-2019 23:19:12	+                                                         ispwInCalTable,uniqueTimesPerFieldPerSpw,
build	18-Sep-2019 23:19:12	+                                                         timerangeListTimes,
build	18-Sep-2019 23:19:12	+                                                         solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                                         debugSloppyMatch,
build	18-Sep-2019 23:19:12	+                                                         ystartOverlayLegend,debug,mysize,
build	18-Sep-2019 23:19:12	+                                                         fieldsToPlot,myUniqueColor,
build	18-Sep-2019 23:19:12	+                                                         timeHorizontalSpacing,fieldIndex,
build	18-Sep-2019 23:19:12	+                                                         overlayColors,
build	18-Sep-2019 23:19:12	+                                                         antennaVerticalSpacing, overlayAntennas, 
build	18-Sep-2019 23:19:12	+                                                         timerangeList, caltableTitle, mytime,
build	18-Sep-2019 23:19:12	+#                                                         scansToPlot, scansForUniqueTimes) # task version
build	18-Sep-2019 23:19:12	+                                                         scansToPlotPerSpw[ispw], scansForUniqueTimes) # au version
build	18-Sep-2019 23:19:12	+                                  if LO1 is None and type(lo1s) == dict:  # Fix for SCOPS-4877
build	18-Sep-2019 23:19:12	+                                      LO1 = lo1s[myspw]                   # Fix for SCOPS-4877
build	18-Sep-2019 23:19:12	+                                  # CAS-8655
build	18-Sep-2019 23:19:12	+                                  newylimits = drawAtmosphereAndFDM(showatm,showtsky,atmString,subplotRows,mysize,
build	18-Sep-2019 23:19:12	+                                                       TebbSky,TebbSkyImage,plotrange, xaxis,atmchan,
build	18-Sep-2019 23:19:12	+                                                       atmfreq,transmission,subplotCols,showatmPoints,
build	18-Sep-2019 23:19:12	+                                                       xframe, channels,LO1,atmchanImage,atmfreqImage,
build	18-Sep-2019 23:19:12	+                                                       transmissionImage, firstFrame,showfdm,nChannels,
build	18-Sep-2019 23:19:12	+                                                       tableFormat,originalSpw_casa33, 
build	18-Sep-2019 23:19:12	+                                                       chanFreqGHz_casa33,originalSpw,chanFreqGHz,
build	18-Sep-2019 23:19:12	+                                                       overlayTimes, overlayAntennas, xant, 
build	18-Sep-2019 23:19:12	+                                                       antennasToPlot, overlaySpws, baseband,
build	18-Sep-2019 23:19:12	+                                                       showBasebandNumber, basebandDict,
build	18-Sep-2019 23:19:12	+                                                       overlayBasebands, drewAtmosphere)
build	18-Sep-2019 23:19:12	+                                  drewAtmosphere = True
build	18-Sep-2019 23:19:12	+                              if (xctr == firstUnflaggedAntennaToPlot or overlayAntennas==False): # changed xant->xctr on 11-mar-2014
build	18-Sep-2019 23:19:12	+                                  DrawPolarizationLabelsForOverlayTime(xstartPolLabel,ystartPolLabel,corr_type,polsToPlot,
build	18-Sep-2019 23:19:12	+                                                                       channeldiff,ystartMadLabel,subplotRows,gamp_mad,mysize,
build	18-Sep-2019 23:19:12	+                                                                       ampmarkstyle,markersize,ampmarkstyle2,gamp_std)
build	18-Sep-2019 23:19:12	+                      else:  # not overlaying times
build	18-Sep-2019 23:19:12	+                          print("Skip %s spw%d (%s) all data flagged" % (antstring, ispw, titleString))
build	18-Sep-2019 23:19:12	+                          if ((overlaySpws or overlayBasebands) and spwctr==spwctrFirstToPlot):
build	18-Sep-2019 23:19:12	+                              spwctrFirstToPlot += 1
build	18-Sep-2019 23:19:12	+                          if ((overlaySpws or overlayBasebands) and ispw==spwsToPlotInBaseband[bbctr][-1]):
build	18-Sep-2019 23:19:12	+                              if (debug): print("The final spw was flagged!!!!!!!!!!!!!!")
build	18-Sep-2019 23:19:12	+                              finalSpwWasFlagged =  True  # inserted on 22-Apr-2014 for g25.27
build	18-Sep-2019 23:19:12	+                          if (myinput == 'b'):
build	18-Sep-2019 23:19:12	+                              redisplay = False # This prevents infinite loop when htting 'b' on first screen when ant0 flagged. 2013-03-08
build	18-Sep-2019 23:19:12	+                      if (overlayAntennas==False and overlayBasebands==False): # 07/30/2014  added  overlayBasebands==False
build	18-Sep-2019 23:19:12	+                        if (doneOverlayTime==False or overlayTimes==False):  # added on 08-Nov-2012
build	18-Sep-2019 23:19:12	+                            finalSpwWasFlagged = False # Added on 23-Apr-2014 for regression61
build	18-Sep-2019 23:19:12	+                            mytime += 1
build	18-Sep-2019 23:19:12	+                            if (debug):
build	18-Sep-2019 23:19:12	+                                print("F) all solutions flagged --> incrementing mytime to %d" % mytime)
build	18-Sep-2019 23:19:12	+                      if (overlayAntennas):
build	18-Sep-2019 23:19:12	+                          if (xctr == firstUnflaggedAntennaToPlot):
build	18-Sep-2019 23:19:12	+                              firstUnflaggedAntennaToPlot += 1
build	18-Sep-2019 23:19:12	+                              if (firstUnflaggedAntennaToPlot >= len(antennasToPlot)):
build	18-Sep-2019 23:19:12	+                                  firstUnflaggedAntennaToPlot = 0
build	18-Sep-2019 23:19:12	+                                  if not finalSpwWasFlagged: # Added on 23-Apr-2014 for regression61
build	18-Sep-2019 23:19:12	+                                      mytime += 1
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("----- Resetting firstUnflaggedAntennaToPlot from %d to %d = %d" % (firstUnflaggedAntennaToPlot-1, firstUnflaggedAntennaToPlot, antennasToPlot[firstUnflaggedAntennaToPlot]))
build	18-Sep-2019 23:19:12	+                              if (mytime < nUniqueTimes):  # Add this 'if' conditional on 9-22-2015 for CAS-7839
build	18-Sep-2019 23:19:12	+                                  continue  # Try adding this statement on Apr 2, 2012 to fix bug.
build	18-Sep-2019 23:19:12	+                              mytime -= 1  # Add this on 9-22-2015 for CAS-7839
build	18-Sep-2019 23:19:12	+                      if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:12	+                          if (xctr == firstUnflaggedAntennaToPlot):
build	18-Sep-2019 23:19:12	+                              firstUnflaggedAntennaToPlot += 1
build	18-Sep-2019 23:19:12	+                              if (firstUnflaggedAntennaToPlot >= len(antennasToPlot)):
build	18-Sep-2019 23:19:12	+                                  firstUnflaggedAntennaToPlot = 0
build	18-Sep-2019 23:19:12	+                                  if not finalSpwWasFlagged: # Added on 22-Apr-2014 for g25.27 dataset antenna='4'
build	18-Sep-2019 23:19:12	+                                      if (overlayBasebands == False or spwctr>len(spwsToPlot)):  # Added on 7/30/2014 for regression 96
build	18-Sep-2019 23:19:12	+                                          mytime += 1
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("----- Resetting firstUnflaggedAntennaToPlot from %d to %d" % (firstUnflaggedAntennaToPlot-1, firstUnflaggedAntennaToPlot))
build	18-Sep-2019 23:19:12	+                                  print("-----    = antenna %d" % (antennasToPlot[firstUnflaggedAntennaToPlot]))
build	18-Sep-2019 23:19:12	+                              if (not finalSpwWasFlagged): # add this test on Apr 22, 2014 to prevent crash on g25.27 dataset with antenna='4,5'
build	18-Sep-2019 23:19:12	+                                  continue # Try this 'continue' on Apr 2, 2012 to fix bug -- works.
build	18-Sep-2019 23:19:12	+                      if (overlayAntennas==False and subplot==11
build	18-Sep-2019 23:19:12	+                          and not finalSpwWasFlagged      # inserted on 22-Apr-2014 for g25.27
build	18-Sep-2019 23:19:12	+                          and not finalTimerangeFlagged): # inserted on 04-Aug-2014 for CAS-6812
build	18-Sep-2019 23:19:12	+                            # added the case (subplot==11) on April 22, 2012 to prevent crash on multi-antenna subplot=421
build	18-Sep-2019 23:19:12	+                            if (debug):
build	18-Sep-2019 23:19:12	+                                print("#######  removing [%d,%d,%d,%d]" % (pages[len(pages)-1][PAGE_ANT],
build	18-Sep-2019 23:19:12	+                                                                  pages[len(pages)-1][PAGE_SPW],
build	18-Sep-2019 23:19:12	+                                                                  pages[len(pages)-1][PAGE_TIME],
build	18-Sep-2019 23:19:12	+                                                                  pages[len(pages)-1][PAGE_AP]))
build	18-Sep-2019 23:19:12	+                            pages = pages[0:len(pages)-1]
build	18-Sep-2019 23:19:12	+                            newpage = 1
build	18-Sep-2019 23:19:12	+                      if (overlayAntennas==False):
build	18-Sep-2019 23:19:12	+                          if (doneOverlayTime==False  # inserted on 08-Nov-2012
build	18-Sep-2019 23:19:12	+                              and not finalSpwWasFlagged):  # inserted on 22-Apr-2014 for g25.27
build	18-Sep-2019 23:19:12	+                              continue
build	18-Sep-2019 23:19:12	+                          elif (debug):
build	18-Sep-2019 23:19:12	+                              print("=========== Not continuing because doneOverlayTime=%s" % (str(doneOverlayTime)))
build	18-Sep-2019 23:19:12	+                  else:
build	18-Sep-2019 23:19:12	+                      allTimesFlaggedOnThisSpw = False
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("Not all the data are flagged.  doneOverlayTime=%s" % (str(doneOverlayTime)))
build	18-Sep-2019 23:19:12	+                      
build	18-Sep-2019 23:19:12	+                  if (firstSpwMatch == -1):
build	18-Sep-2019 23:19:12	+                      firstSpwMatch = spwctr
build	18-Sep-2019 23:19:12	+                  if (firstTimeMatch == -1):
build	18-Sep-2019 23:19:12	+                      firstTimeMatch = mytime
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("Setting firstTimeMatch from -1 to %s" % (str(firstTimeMatch)))
build	18-Sep-2019 23:19:12	+                  # The following was needed to support overlay='antenna,time' for showatm for QA2 report (CAS-7820)
build	18-Sep-2019 23:19:12	+                  if (finalTimeMatch == -1 or finalTimeMatch < mytime):
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Setting finalTimeMatch from %d to %d" % (finalTimeMatch, mytime))
build	18-Sep-2019 23:19:12	+                      finalTimeMatch = mytime
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+################### Here is the amplitude plotting ############    stopping here Sep 4, 2013
build	18-Sep-2019 23:19:12	+                  if (yaxis.find('amp')>=0 or yaxis.find('both')>=0 or yaxis.find('ap')>=0) and doneOverlayTime==False:
build	18-Sep-2019 23:19:12	+                    if (overlayBasebands and amplitudeWithPhase): # CAS-6477
build	18-Sep-2019 23:19:12	+                        if (float(xframe/10) != xframe*0.1 and alreadyPlottedAmp):
build	18-Sep-2019 23:19:12	+                            xframe -= 2
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                    if (debug):
build	18-Sep-2019 23:19:12	+                        print("amp: xctr=%d, xant=%d, myap=%d, mytime=%d(%s), firstTimeMatch=%d, bOverlay=" % (xctr, xant, myap, mytime, utstring(uniqueTimes[mytime],3), firstTimeMatch), bOverlay)
build	18-Sep-2019 23:19:12	+                    if (myap==1):
build	18-Sep-2019 23:19:12	+                      if (overlayTimes == False or mytime==firstTimeMatch):
build	18-Sep-2019 23:19:12	+                        if ((overlaySpws == False and overlayBasebands==False) or spwctr==spwctrFirstToPlot or spwctr>len(spwsToPlot)):
build	18-Sep-2019 23:19:12	+                          if (overlayAntennas==False or xctr==firstUnflaggedAntennaToPlot
build	18-Sep-2019 23:19:12	+                              or xctr==antennasToPlot[-1]):  # 2012-05-24, to fix the case where all ants flagged on one timerange
build	18-Sep-2019 23:19:12	+                              xframe += 1
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("y) incrementing xframe to %d" % xframe)
build	18-Sep-2019 23:19:12	+                                  print("mytime=%d  ==  firstTimeMatch=%d" % (mytime, firstTimeMatch))
build	18-Sep-2019 23:19:12	+                                  print("xctr=%d  ==  firstUnflaggedAntennaToPlot=%d,  antennastoPlot[-1]=%d" % (xctr, firstUnflaggedAntennaToPlot,antennasToPlot[-1]))
build	18-Sep-2019 23:19:12	+                              myUniqueColor = []
build	18-Sep-2019 23:19:12	+                              newylimits = [LARGE_POSITIVE, LARGE_NEGATIVE]
build	18-Sep-2019 23:19:12	+                    else: # (myap == 0)
build	18-Sep-2019 23:19:12	+                      if (overlayTimes == False or mytime==firstTimeMatch):
build	18-Sep-2019 23:19:12	+                        if ((overlaySpws == False and overlayBasebands==False) or 
build	18-Sep-2019 23:19:12	+                            spwctr==spwctrFirstToPlot or 
build	18-Sep-2019 23:19:12	+                            (overlayBasebands and amplitudeWithPhase) or # CAS-6477
build	18-Sep-2019 23:19:12	+                            spwctr>len(spwsToPlot)):
build	18-Sep-2019 23:19:12	+                          if (overlayAntennas==False or xctr==firstUnflaggedAntennaToPlot
build	18-Sep-2019 23:19:12	+                              or xctr>antennasToPlot[-1]):  # 2012-05-24, to fix the case where all ants flagged on one timerange
build	18-Sep-2019 23:19:12	+                              xframe += 1
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("Y) incrementing xframe to %d" % xframe)
build	18-Sep-2019 23:19:12	+                                  print("mytime=%d  ==  firstTimeMatch=%d" % (mytime, firstTimeMatch))
build	18-Sep-2019 23:19:12	+                                  print("xctr=%d  ==  firstUnflaggedAntennaToPlot=%d,  antennasToPlot[-1]=%d" % (xctr, firstUnflaggedAntennaToPlot,antennasToPlot[-1]))
build	18-Sep-2019 23:19:12	+                                  print("spwctr=%d  >? len(spwsToPlot)=%d" % (spwctr, len(spwsToPlot)))
build	18-Sep-2019 23:19:12	+                              myUniqueColor = []
build	18-Sep-2019 23:19:12	+                              newylimits = [LARGE_POSITIVE, LARGE_NEGATIVE]
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("myap=%d, mytime == firstTimeMatch=%d" % (myap, firstTimeMatch))
build	18-Sep-2019 23:19:12	+                      if (debug):
build	18-Sep-2019 23:19:12	+                          print("$$$$$$$$$$$$$$$$$$$$$$$  ready to plot amp on xframe %d" % (xframe))
build	18-Sep-2019 23:19:12	+# #     # #            print(",,,,,,,,,,,,,,,, Starting with newylimits = ", newylimits)
build	18-Sep-2019 23:19:12	+                      adesc = pb.subplot(xframe)
build	18-Sep-2019 23:19:12	+                      if (previousSubplot != xframe):
build	18-Sep-2019 23:19:12	+                          drewAtmosphere = False
build	18-Sep-2019 23:19:12	+                      previousSubplot = xframe
build	18-Sep-2019 23:19:12	+                      alreadyPlottedAmp = True  # needed for (overlay='baseband', yaxis='both')  CAS-6477
build	18-Sep-2019 23:19:12	+                      pb.hold(overlayAntennas or overlayTimes or overlaySpws or overlayBasebands)
build	18-Sep-2019 23:19:12	+                      gampx = np.abs(gplotx)
build	18-Sep-2019 23:19:12	+                      if (nPolarizations == 2):
build	18-Sep-2019 23:19:12	+                          gampy = np.abs(gploty)
build	18-Sep-2019 23:19:12	+                          if (yaxis.lower().find('db') >= 0):
build	18-Sep-2019 23:19:12	+                              gamp = [10*np.log10(gampx), 10*np.log10(gampy)]
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              if (channeldiff>0):
build	18-Sep-2019 23:19:12	+                                  if (debug): print("Computing derivatives")
build	18-Sep-2019 23:19:12	+                                  if (xaxis == 'chan'):
build	18-Sep-2019 23:19:12	+                                      gamp0, newx0, gamp0res, newx0res = channelDifferences(gampx, pchannels[0], resample)
build	18-Sep-2019 23:19:12	+                                      gamp1, newx1, gamp1res, newx1res = channelDifferences(gampy, pchannels[1], resample)
build	18-Sep-2019 23:19:12	+                                      pchannels = [newx0, newx1]
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      gamp0, newx0, gamp0res, newx0res  = channelDifferences(gampx, pfrequencies[0], resample)
build	18-Sep-2019 23:19:12	+                                      gamp1, newx1, gamp1res, newx1res = channelDifferences(gampy, pfrequencies[1], resample)
build	18-Sep-2019 23:19:12	+                                      pfrequencies = [newx0, newx1]
build	18-Sep-2019 23:19:12	+                                  gamp = [gamp0, gamp1]
build	18-Sep-2019 23:19:12	+                                  gampres = [gamp0res, gamp1res]
build	18-Sep-2019 23:19:12	+                                  if (VisCal.lower().find('tsys') >= 0 and tsysPercent):
build	18-Sep-2019 23:19:12	+                                      gamp = [100*gamp0/np.median(gampx), 100*gamp1/np.median(gampy)]
build	18-Sep-2019 23:19:12	+                                      gampres = [100*gamp0res/np.median(gampx), 100*gamp1res/np.median(gampy)]
build	18-Sep-2019 23:19:12	+                                  elif (VisCal.lower().find('tsys') < 0 and ampPercent):
build	18-Sep-2019 23:19:12	+                                      gamp = [100*gamp0/np.median(gampx), 100*gamp1/np.median(gampy)]
build	18-Sep-2019 23:19:12	+                                      gampres = [100*gamp0res/np.median(gampx), 100*gamp1res/np.median(gampy)]
build	18-Sep-2019 23:19:12	+                                  gamp_mad = [madInfo(gamp[0],madsigma,edge), madInfo(gamp[1],madsigma,edge)]
build	18-Sep-2019 23:19:12	+                                  gamp_std = [stdInfo(gampres[0],madsigma,edge,ispw,xant,0), stdInfo(gampres[1],madsigma,edge,ispw,xant,1)]
build	18-Sep-2019 23:19:12	+                                  if (debug): print("gamp_mad done")
build	18-Sep-2019 23:19:12	+                                  if (platformingSigma > 0):
build	18-Sep-2019 23:19:12	+                                      platformingThresholdX = gamp_mad[0]['mad']*platformingSigma
build	18-Sep-2019 23:19:12	+                                      platformingThresholdY = gamp_mad[1]['mad']*platformingSigma
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      platformingThresholdX = platformingThreshold
build	18-Sep-2019 23:19:12	+                                      platformingThresholdY = platformingThreshold
build	18-Sep-2019 23:19:12	+                                  gamp_platforming = [platformingCheck(gamp[0],platformingThresholdX),
build	18-Sep-2019 23:19:12	+                                                      platformingCheck(gamp[1],platformingThresholdY)]
build	18-Sep-2019 23:19:12	+                                  for p in [0,1]:
build	18-Sep-2019 23:19:12	+                                      if (debug):
build	18-Sep-2019 23:19:12	+                                          print("gamp_mad[%d] = %s" % (p, str(gamp_mad[p])))
build	18-Sep-2019 23:19:12	+                                          print("madstats[%s][%d] = %s" % (Antstring,ispw, str(madstats[Antstring][ispw])))
build	18-Sep-2019 23:19:12	+                                      madstats[Antstring][ispw][mytime][p]['amp'] = gamp_mad[p]['mad']
build	18-Sep-2019 23:19:12	+                                      madstats[Antstring][ispw][mytime][p]['ampstd'] = gamp_std[p]['std']
build	18-Sep-2019 23:19:12	+                                      if (gamp_platforming[p]):
build	18-Sep-2019 23:19:12	+                                          if (Antstring not in madstats['platforming'].keys()):
build	18-Sep-2019 23:19:12	+                                              madstats['platforming'][Antstring] = {}
build	18-Sep-2019 23:19:12	+                                          if (ispw not in madstats['platforming'][Antstring].keys()):
build	18-Sep-2019 23:19:12	+                                              madstats['platforming'][Antstring][ispw] = {}
build	18-Sep-2019 23:19:12	+                                          if (p not in madstats['platforming'][Antstring][ispw].keys()):
build	18-Sep-2019 23:19:12	+                                              madstats['platforming'][Antstring][ispw][p] = []
build	18-Sep-2019 23:19:12	+                                          madstats['platforming'][Antstring][ispw][p].append(uniqueTimes[mytime])
build	18-Sep-2019 23:19:12	+                                      if (gamp_mad[p]['nchan'] > 0):
build	18-Sep-2019 23:19:12	+                                          casalogPost(debug, "%s, Pol %d, spw %2d, %s, amp: %4d points exceed %.1f sigma (worst=%.2f at chan %d)" % (Antstring, p, ispw, utstring(uniqueTimes[mytime],0), gamp_mad[p]['nchan'], madsigma, gamp_mad[p]['outlierValue'], gamp_mad[p]['outlierChannel']+pchannels[p][0]))
build	18-Sep-2019 23:19:12	+                                  if (debug): print("madstats done")
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  gamp = [gampx,gampy]
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          if (yaxis.lower().find('db') >= 0):
build	18-Sep-2019 23:19:12	+                              gamp = [10*np.log10(gampx)]
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              if (channeldiff>0):
build	18-Sep-2019 23:19:12	+                                  if (xaxis == 'chan'):
build	18-Sep-2019 23:19:12	+                                      gamp0, newx0, gamp0res, newx0res  = channelDifferences(gampx, pchannels[0], resample)
build	18-Sep-2019 23:19:12	+                                      pchannels = [newx0]
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      gamp0, newx0, gamp0res, newx0res  = channelDifferences(gampx, pfrequencies[0], resample)
build	18-Sep-2019 23:19:12	+                                      pfrequencies = [newx0]
build	18-Sep-2019 23:19:12	+                                  gamp = [gamp0]
build	18-Sep-2019 23:19:12	+                                  gampres = [gamp0res]
build	18-Sep-2019 23:19:12	+                                  if (VisCal.lower().find('tsys') >= 0 and tsysPercent):
build	18-Sep-2019 23:19:12	+                                      gamp = [100*gamp0/np.median(gampx)]
build	18-Sep-2019 23:19:12	+                                      gampres = [100*gamp0res/np.median(gampx)]
build	18-Sep-2019 23:19:12	+                                  elif (VisCal.lower().find('tsys') < 0 and ampPercent):
build	18-Sep-2019 23:19:12	+                                      gamp = [100*gamp0/np.median(gampx)]
build	18-Sep-2019 23:19:12	+                                      gampres = [100*gamp0res/np.median(gampx)]
build	18-Sep-2019 23:19:12	+                                  p = 0
build	18-Sep-2019 23:19:12	+                                  gamp_mad = [madInfo(gamp[p], madsigma,edge)]
build	18-Sep-2019 23:19:12	+                                  gamp_std = [stdInfo(gampres[p], madsigma,edge,ispw,xant,p)]
build	18-Sep-2019 23:19:12	+                                  if (platformingSigma > 0):
build	18-Sep-2019 23:19:12	+                                      platformingThresholdX = gamp_mad[0]['mad']*platformingSigma
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      platformingThresholdX = platformingThreshold
build	18-Sep-2019 23:19:12	+                                  gamp_platforming = [platformingCheck(gamp[p], platformingThresholdX)]
build	18-Sep-2019 23:19:12	+                                  madstats[Antstring][ispw][mytime][p]['amp'] = gamp_mad[p]['mad']
build	18-Sep-2019 23:19:12	+                                  madstats[Antstring][ispw][mytime][p]['ampstd'] = gamp_std[p]['std']
build	18-Sep-2019 23:19:12	+                                  if (gamp_platforming[p]):
build	18-Sep-2019 23:19:12	+                                      if (Antstring not in madstats['platforming'].keys()):
build	18-Sep-2019 23:19:12	+                                          madstats['platforming'][Antstring] = {}
build	18-Sep-2019 23:19:12	+                                      if (ispw not in madstats['platforming'][Antstring].keys()):
build	18-Sep-2019 23:19:12	+                                          madstats['platforming'][Antstring][ispw] = {}
build	18-Sep-2019 23:19:12	+                                      if (p not in madstats['platforming'][Antstring][ispw].keys()):
build	18-Sep-2019 23:19:12	+                                          madstats['platforming'][Antstring][ispw][p] = []
build	18-Sep-2019 23:19:12	+                                      madstats['platforming'][Antstring][ispw][p].append(mytime)
build	18-Sep-2019 23:19:12	+                                  if (gamp_mad[p]['nchan'] > 0):
build	18-Sep-2019 23:19:12	+                                      casalogPost(debug, "%s, Pol %d, spw %2d, %s, amp: %4d points exceed %.1f sigma (worst=%.2f at chan %d)" % (Antstring, p, ispw, utstring(uniqueTimes[mytime],0), gamp_mad[p]['nchan'], madsigma, gamp_mad[p]['outlierValue'], gamp_mad[p]['outlierChannel']+pchannels[p][0]))
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  gamp = [gampx]
build	18-Sep-2019 23:19:12	+                      if (bOverlay):
build	18-Sep-2019 23:19:12	+                            gampx2 = np.abs(gplotx2)
build	18-Sep-2019 23:19:12	+                            if (nPolarizations2 == 2):
build	18-Sep-2019 23:19:12	+                              gampy2 = np.abs(gploty2)
build	18-Sep-2019 23:19:12	+                              if (yaxis.lower().find('db') >= 0):
build	18-Sep-2019 23:19:12	+                                  gamp2 = [10*np.log10(gampx2), 10*np.log10(gampy2)]
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  if (channeldiff>0):
build	18-Sep-2019 23:19:12	+                                      if (xaxis == 'chan'):
build	18-Sep-2019 23:19:12	+                                          gamp2_0, newx0, gamp2_0res, newx0res = channelDifferences(gampx2, pchannels2[0], resample)
build	18-Sep-2019 23:19:12	+                                          gamp2_1, newx1, gamp2_1res, newx1res = channelDifferences(gampy2, pchannels2[1], resample)
build	18-Sep-2019 23:19:12	+                                          pchannels2 = [newx0, newx1]
build	18-Sep-2019 23:19:12	+                                      else:
build	18-Sep-2019 23:19:12	+                                          gamp2_0, newx0, gamp2_0res, newx0res = channelDifferences(gampx2, pfrequencies2[0], resample)
build	18-Sep-2019 23:19:12	+                                          gamp2_1, newx1, gamp2_1res, newx1res = channelDifferences(gampy2, pfrequencies2[1], resample)
build	18-Sep-2019 23:19:12	+                                          pfrequencies2 = [newx0, newx1]
build	18-Sep-2019 23:19:12	+                                      gamp2 = [gamp2_0, gamp2_1]
build	18-Sep-2019 23:19:12	+                                      gamp2res = [gamp2_0res, gamp2_1res]
build	18-Sep-2019 23:19:12	+                                      if (VisCal.lower().find('tsys') >= 0 and tsysPercent):
build	18-Sep-2019 23:19:12	+                                          gamp2 = [100*gamp2_0/np.median(gampx2), 100*gamp2_1/np.median(gampy2)]
build	18-Sep-2019 23:19:12	+                                          gamp2res = [100*gamp2_0res/np.median(gampx2), 100*gamp2_1res/np.median(gampy2)]
build	18-Sep-2019 23:19:12	+                                      elif (VisCal.lower().find('tsys') < 0 and ampPercent):
build	18-Sep-2019 23:19:12	+                                          gamp2 = [100*gamp2_0/np.median(gampx2), 100*gamp2_1/np.median(gampy2)]
build	18-Sep-2019 23:19:12	+                                          gamp2res = [100*gamp2_0res/np.median(gampx2), 100*gamp2_1res/np.median(gampy2)]
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      gamp2 = [gampx2, gampy2]
build	18-Sep-2019 23:19:12	+                            else:
build	18-Sep-2019 23:19:12	+                              if (yaxis.lower().find('db') >= 0):
build	18-Sep-2019 23:19:12	+                                  gamp2 = [10*np.log10(gampx2)]
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  if (channeldiff>0):
build	18-Sep-2019 23:19:12	+                                      if (xaxis == 'chan'):
build	18-Sep-2019 23:19:12	+                                          gamp2_0, newx0, gamp2_0res, newx0res = channelDifferences(gampx2, pchannels[0], resample)
build	18-Sep-2019 23:19:12	+                                          pchannels2 = [newx0]
build	18-Sep-2019 23:19:12	+                                      else:
build	18-Sep-2019 23:19:12	+                                          gamp2_0, newx0, gamp2_0res, newx0res = channelDifferences(gampx2, pfrequencies[0], resample)
build	18-Sep-2019 23:19:12	+                                          pfrequencies2 = [newx0]
build	18-Sep-2019 23:19:12	+                                      gamp2 = [gamp2_0]
build	18-Sep-2019 23:19:12	+                                      gamp2res = [gamp2_0res]
build	18-Sep-2019 23:19:12	+                                      if (VisCal.lower().find('tsys') >= 0 and tsysPercent):
build	18-Sep-2019 23:19:12	+                                          gamp2 = [100*gamp2_0/np.median(gampx2)]
build	18-Sep-2019 23:19:12	+                                          gamp2res = [100*gamp2_0res/np.median(gampx2)]
build	18-Sep-2019 23:19:12	+                                      elif (VisCal.lower().find('tsys') < 0 and ampPercent):
build	18-Sep-2019 23:19:12	+                                          gamp2 = [100*gamp2_0/np.median(gampx2)]
build	18-Sep-2019 23:19:12	+                                          gamp2res = [100*gamp2_0res/np.median(gampx2)]
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      gamp2 = [gampx2]
build	18-Sep-2019 23:19:12	+                      if (xaxis.find('chan')>=0 or (msFound==False and tableFormat==33)):    #  'amp'
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                              print("amp: plot vs. channel **********************")
build	18-Sep-2019 23:19:12	+                          pb.hold(True)
build	18-Sep-2019 23:19:12	+                          for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                              if (overlayAntennas or overlayTimes):
build	18-Sep-2019 23:19:12	+                                  if (corr_type_string[p] in polsToPlot):
build	18-Sep-2019 23:19:12	+                                        pdesc = pb.plot(pchannels[p],gamp[p],'%s'%ampmarkstyles[p],
build	18-Sep-2019 23:19:12	+                                                        markersize=markersize,
build	18-Sep-2019 23:19:12	+                                                        markerfacecolor=overlayColors[xctr],markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                        newylimits =  recalcYlimits(plotrange,newylimits,gamp[p])
build	18-Sep-2019 23:19:12	+                                        if (overlayAntennas and overlayTimes==False):
build	18-Sep-2019 23:19:12	+                                            pb.setp(pdesc, color=overlayColors[xctr])
build	18-Sep-2019 23:19:12	+                                        elif (overlayTimes and overlayAntennas==False):
build	18-Sep-2019 23:19:12	+                                            pb.setp(pdesc, color=overlayColors[mytime])
build	18-Sep-2019 23:19:12	+                                        elif (overlayTimes and overlayAntennas): # try to support time,antenna
build	18-Sep-2019 23:19:12	+                                            if (debug):
build	18-Sep-2019 23:19:12	+                                                print("p=%d, len(fieldsToPlot)=%d, len(timerangeList)=%d" % (p,len(fieldsToPlot),len(timerangeList)))
build	18-Sep-2019 23:19:12	+                                            if (len(fieldsToPlot) > 1 or len(timerangeList)>1):
build	18-Sep-2019 23:19:12	+#                                                pb.setp(pdesc, color=overlayColors[myUniqueTime])
build	18-Sep-2019 23:19:12	+# #     # #                                      print("pb.setp: myUniqueTime, overlayColors = ", myUniqueTime, overlayColors[myUniqueTime])
build	18-Sep-2019 23:19:12	+                                                # The third 'or' below is needed if pol='0' is flagged on antenna 0. -- 2012/10/12
build	18-Sep-2019 23:19:12	+                                                if (p==0 or len(polsToPlot)==1 or myUniqueColor==[]):
build	18-Sep-2019 23:19:12	+                                                    myUniqueColor.append(overlayColors[len(myUniqueColor)])
build	18-Sep-2019 23:19:12	+                                                pb.setp(pdesc, color=myUniqueColor[-1])
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  if (corr_type_string[p] in polsToPlot):
build	18-Sep-2019 23:19:12	+# #     # #                          print("pcolor[%d]=%s" % (p,pcolor))
build	18-Sep-2019 23:19:12	+                                    pb.plot(pchannels[p],gamp[p],'%s%s'%(pcolor[p],ampmarkstyle), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                    newylimits =  recalcYlimits(plotrange,newylimits,gamp[p])
build	18-Sep-2019 23:19:12	+                          if (sum(xflag)>0):
build	18-Sep-2019 23:19:12	+                              myxrange = np.max(channels)-np.min(channels)
build	18-Sep-2019 23:19:12	+                              SetNewXLimits([np.min(channels)-myxrange/20, np.max(channels)+myxrange/20],1)
build	18-Sep-2019 23:19:12	+# #     # #                    print("amp: Resetting xaxis channel range to counteract flagged data")
build	18-Sep-2019 23:19:12	+                          if (xframe in bottomRowFrames or (xctr+1==len(antennasToPlot) and ispw==spwsToPlot[-1])):
build	18-Sep-2019 23:19:12	+                              pb.xlabel("Channel", size=mysize)
build	18-Sep-2019 23:19:12	+                      elif (xaxis.find('freq')>=0):   # amp
build	18-Sep-2019 23:19:12	+                          if (bOverlay):
build	18-Sep-2019 23:19:12	+                                pb.hold(True)
build	18-Sep-2019 23:19:12	+                                myxrange = np.abs(xfrequencies[0]-xfrequencies[-1])
build	18-Sep-2019 23:19:12	+                                try:
build	18-Sep-2019 23:19:12	+                                    xrange2 = np.abs(xfrequencies2[0]-xfrequencies2[-1])
build	18-Sep-2019 23:19:12	+                                except:
build	18-Sep-2019 23:19:12	+                                    print("No amp data found in second solution.  Try increasing the solutionTimeThresholdSeconds above %.0f." % (solutionTimeThresholdSeconds))
build	18-Sep-2019 23:19:12	+                                    print("If this doesn't work, email the developer (%s)." % (developerEmail))
build	18-Sep-2019 23:19:12	+                                    return()
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                                if (np.abs(myxrange/xrange2 - 1) > 0.05 + len(xflag)/len(xchannels)):  # 0.0666 is 2000/1875-1
build	18-Sep-2019 23:19:12	+                                   # These line widths are optimal for visualizing FDM over TDM
build	18-Sep-2019 23:19:12	+                                   width1 = 1
build	18-Sep-2019 23:19:12	+                                   width2 = 4
build	18-Sep-2019 23:19:12	+                                   # solutions differ in frequency width
build	18-Sep-2019 23:19:12	+                                   if (myxrange < xrange2):
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                            if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                                  pb.plot(pfrequencies[p], gamp[p], '%s%s'%(pcolor[p],ampmarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                                  newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                            if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                                  pb.plot(pfrequencies2[p], gamp2[p], '%s%s'%(p2color[p],ampmarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                                  newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                   else:
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                            if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                                  pb.plot(pfrequencies2[p], gamp2[p], '%s%s'%(p2color[p],ampmarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                                  newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                            if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                                  pb.plot(pfrequencies[p], gamp[p], '%s%s'%(pcolor[p],ampmarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                                  newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                else:
build	18-Sep-2019 23:19:12	+                                   width1 = 1
build	18-Sep-2019 23:19:12	+                                   width2 = 2  # Just enough to distinguish one line from the other.
build	18-Sep-2019 23:19:12	+                                   # solutions may be different level of smoothing, so plot highest rms first
build	18-Sep-2019 23:19:12	+                                   if (MAD(gamp[0]) < MAD(gamp2[0])):
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                          if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                              pb.plot(pfrequencies2[p], gamp2[p], '%s%s'%(p2color[p],ampmarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                              newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                          if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                              pb.plot(pfrequencies[p], gamp[p], '%s%s'%(pcolor[p],ampmarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                              newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                   else:
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                          if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                              pb.plot(pfrequencies[p], gamp[p], '%s%s'%(pcolor[p],ampmarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                              newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                          if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                              pb.plot(pfrequencies2[p], gamp2[p], '%s%s'%(p2color[p],ampmarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                              newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                # must set new limits after plotting  'amp'
build	18-Sep-2019 23:19:12	+                                if (zoom=='intersect'):
build	18-Sep-2019 23:19:12	+                                    if (myxrange < xrange2):
build	18-Sep-2019 23:19:12	+                                        SetNewXLimits([min(xfrequencies[0],xfrequencies[-1])-myxrange*0.1, max(xfrequencies[0],xfrequencies[-1])+myxrange*0.1],2)
build	18-Sep-2019 23:19:12	+                                        SetLimits(plotrange, chanrange, newylimits, channels, frequencies,
build	18-Sep-2019 23:19:12	+                                                  pfrequencies, ampMin, ampMax, xaxis, pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:12	+                                                  chanrangePercent)
build	18-Sep-2019 23:19:12	+                                    else:
build	18-Sep-2019 23:19:12	+# #     # #                              print("len(xfrequencies2) = ", len(xfrequencies2))
build	18-Sep-2019 23:19:12	+                                        SetNewXLimits([min(xfrequencies2[0],xfrequencies2[-1])-xrange2*0.1, max(xfrequencies2[0],xfrequencies2[-1])+xrange2*0.1],3)
build	18-Sep-2019 23:19:12	+                                        slstatus = SetLimits(plotrange, chanrange, newylimits, channels, frequencies2,
build	18-Sep-2019 23:19:12	+                                                  pfrequencies2, ampMin, ampMax, xaxis, pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:12	+                                                             chanrangePercent)
build	18-Sep-2019 23:19:12	+                                else:
build	18-Sep-2019 23:19:12	+                                    if (myxrange < xrange2):
build	18-Sep-2019 23:19:12	+                                        SetLimits(plotrange, chanrange, newylimits, channels, frequencies,
build	18-Sep-2019 23:19:12	+                                                  pfrequencies, ampMin, ampMax, xaxis, pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:12	+                                                  chanrangePercent)
build	18-Sep-2019 23:19:12	+                                    else:
build	18-Sep-2019 23:19:12	+                                        SetLimits(plotrange, chanrange, newylimits, channels, frequencies2,
build	18-Sep-2019 23:19:12	+                                                  pfrequencies2, ampMin, ampMax, xaxis, pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:12	+                                                  chanrangePercent)
build	18-Sep-2019 23:19:12	+                                # draw polarization and spw labels
build	18-Sep-2019 23:19:12	+                                if (xframe == firstFrame):
build	18-Sep-2019 23:19:12	+                                    # draw title including caltable name
build	18-Sep-2019 23:19:12	+                                    caltableList = 'c1 = ' + caltable + ',  c2 = ' + caltable2 # + ' (%s)'%(utstring(uniqueTimes2[mytime],3))
build	18-Sep-2019 23:19:12	+                                    pb.text(xstartTitle, ystartTitle, caltableList, size=titlesize,
build	18-Sep-2019 23:19:12	+                                            color='k', transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+                          elif (bpolyOverlay):
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("in bpolyOverlay **********************************")
build	18-Sep-2019 23:19:12	+                              matches1 = []
build	18-Sep-2019 23:19:12	+                              for tbp in range(len(timesBP)):
build	18-Sep-2019 23:19:12	+                                  if (sloppyMatch(uniqueTimes[mytime], timesBP[tbp], solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                                  mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes,  # au version
build	18-Sep-2019 23:19:12	+#                                                  mytime, scansToPlot, scansForUniqueTimes,  # task version
build	18-Sep-2019 23:19:12	+                                                  myprint=debugSloppyMatch
build	18-Sep-2019 23:19:12	+                                                  )):
build	18-Sep-2019 23:19:12	+                                      matches1.append(tbp)
build	18-Sep-2019 23:19:12	+                              matches1 = np.array(matches1)
build	18-Sep-2019 23:19:12	+                              if (len(matches1) < 1):
build	18-Sep-2019 23:19:12	+                                  print("No time match found between %.1f and %s" % (uniqueTimes[mytime], str(timesBP)))
build	18-Sep-2019 23:19:12	+                                  print("If you are sure the solutions correspond to the same data, you can set solutionTimeThresholdSeconds>=%.0f" % (1+np.ceil(np.abs(timesBP[0]-uniqueTimes[mytime]))))
build	18-Sep-2019 23:19:12	+                                  return()
build	18-Sep-2019 23:19:12	+                              matches2 = np.where(xant == np.array(antennasBP))[0]
build	18-Sep-2019 23:19:12	+                              if (len(matches2) < 1):
build	18-Sep-2019 23:19:12	+                                  print("No antenna match found: %s" % (str(xant), str(antennasBP)))
build	18-Sep-2019 23:19:12	+                              if (tableFormat == 33):
build	18-Sep-2019 23:19:12	+                                  matches3 = np.where(ispw == np.array(cal_desc_idBP))[0]
build	18-Sep-2019 23:19:12	+                                  if (len(matches3) < 1):
build	18-Sep-2019 23:19:12	+                                      print("No spw match found: %d not in %s" % (ispw, str(cal_desc_idBP)))
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  matches3 = np.where(ispw == np.array(spwBP))[0]
build	18-Sep-2019 23:19:12	+                                  if (len(matches3) < 1):
build	18-Sep-2019 23:19:12	+                                      print("No spw match found: %d not in %s" % (ispw, str(spwBP)))
build	18-Sep-2019 23:19:12	+                              matches12 = np.intersect1d(matches1,matches2)
build	18-Sep-2019 23:19:12	+                              if (len(matches12) < 1):
build	18-Sep-2019 23:19:12	+                                  print("No time+antenna match between: %s and %s" % (str(matches1), str(matches2)))
build	18-Sep-2019 23:19:12	+                              matches = np.intersect1d(matches12, matches3)
build	18-Sep-2019 23:19:12	+                              if (len(matches) < 1):
build	18-Sep-2019 23:19:12	+                                  print("No time+antenna+spw match between: %s and %s" % (str(matches12), str(matches3)))
build	18-Sep-2019 23:19:12	+                              try:
build	18-Sep-2019 23:19:12	+                                  index = matches[0]
build	18-Sep-2019 23:19:12	+                                  if (debug):
build	18-Sep-2019 23:19:12	+                                      print("Match = %d ***********************************" % (index))
build	18-Sep-2019 23:19:12	+                              except:
build	18-Sep-2019 23:19:12	+                                  print("No match found for time=%.6f, xant=%d, ispw=%d"  % (uniqueTimes[mytime],xant,ispw))
build	18-Sep-2019 23:19:12	+                                  print("antennasBP = %s" % (str(antennasBP)))
build	18-Sep-2019 23:19:12	+                                  print("cal_desc_idBP = %s" % (str(cal_desc_idBP)))
build	18-Sep-2019 23:19:12	+                                  timesBPstring = 'timesBP = '
build	18-Sep-2019 23:19:12	+                                  for i in timesBP:
build	18-Sep-2019 23:19:12	+                                      timesBPstring += "%.6f, " % i
build	18-Sep-2019 23:19:12	+                                  print(timesBPstring)
build	18-Sep-2019 23:19:12	+                                  return()
build	18-Sep-2019 23:19:12	+                              validDomain = [frequencyLimits[0,index], frequencyLimits[1,index]]
build	18-Sep-2019 23:19:12	+                              cc = calcChebyshev(polynomialAmplitude[index][0:nPolyAmp[index]], validDomain, frequenciesGHz[index]*1e+9)
build	18-Sep-2019 23:19:12	+                              if (debug): print("Done calcChebyshev 1")
build	18-Sep-2019 23:19:12	+                              fa = np.array(frequenciesGHz[index])
build	18-Sep-2019 23:19:12	+                              if (xfrequencies[0] < xfrequencies[-1]):
build	18-Sep-2019 23:19:12	+                                  matches = np.where(fa>xfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                                  matches2 = np.where(fa<xfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  matches = np.where(fa>xfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                                  matches2 = np.where(fa<xfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                              if (len(matches) < 1):
build	18-Sep-2019 23:19:12	+                                  print("looking for %f-%f GHz inside %f-%f" % (xfrequencies[0],xfrequencies[-1],fa[0],fa[-1]))
build	18-Sep-2019 23:19:12	+                              amplitudeSolutionX = np.mean(gampx)*(cc-np.mean(cc)+1)
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                              cc = calcChebyshev(polynomialAmplitude[index][nPolyAmp[index]:2*nPolyAmp[index]], validDomain, frequenciesGHz[index]*1e+9)
build	18-Sep-2019 23:19:12	+                              if (debug): print("Done calcChebyshev 2")
build	18-Sep-2019 23:19:12	+                              if (nPolarizations > 1):
build	18-Sep-2019 23:19:12	+                                if (yfrequencies[0] < yfrequencies[-1]):
build	18-Sep-2019 23:19:12	+                                  matches = np.where(fa>yfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                                  matches2 = np.where(fa<yfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                                else:
build	18-Sep-2019 23:19:12	+                                  matches = np.where(fa>yfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                                  matches2 = np.where(fa<yfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                                amplitudeSolutionY = np.mean(gampy)*(cc-np.mean(cc)+1)
build	18-Sep-2019 23:19:12	+                              if (bpolyOverlay2):
build	18-Sep-2019 23:19:12	+                                  validDomain = [frequencyLimits2[0,index], frequencyLimits2[1,index]]
build	18-Sep-2019 23:19:12	+                                  cc = calcChebyshev(polynomialAmplitude2[index][0:nPolyAmp2[index]],
build	18-Sep-2019 23:19:12	+                                                     validDomain, frequenciesGHz2[index]*1e+9)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("Done calcChebyshev 3")
build	18-Sep-2019 23:19:12	+                                  fa = np.array(frequenciesGHz2[index])
build	18-Sep-2019 23:19:12	+                                  if (xfrequencies[0] < xfrequencies[-1]):
build	18-Sep-2019 23:19:12	+                                      matches = np.where(fa>xfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                                      matches2 = np.where(fa<xfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      matches = np.where(fa>xfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                                      matches2 = np.where(fa<xfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                                  amplitudeSolution2X = np.mean(gampx)*(cc-np.mean(cc)+1)
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                                  cc = calcChebyshev(polynomialAmplitude2[index][nPolyAmp2[index]:2*nPolyAmp2[index]],
build	18-Sep-2019 23:19:12	+                                                     validDomain, frequenciesGHz2[index]*1e+9)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("Done calcChebyshev 4")
build	18-Sep-2019 23:19:12	+                                  fa = np.array(frequenciesGHz2[index])
build	18-Sep-2019 23:19:12	+                                  if (yfrequencies[0] < yfrequencies[-1]):
build	18-Sep-2019 23:19:12	+                                      matches = np.where(fa>yfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                                      matches2 = np.where(fa<yfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      matches = np.where(fa>yfrequencies[-1])[0]
build	18-Sep-2019 23:19:12	+                                      matches2 = np.where(fa<yfrequencies[0])[0]
build	18-Sep-2019 23:19:12	+                                  amplitudeSolution2Y = np.mean(gampy)*(cc-np.mean(cc)+1)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("Done mean(gampy)")
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                                  pb.hold(True)
build	18-Sep-2019 23:19:12	+                                  for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                      if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                          pb.plot(pfrequencies[p], gamp[p],'%s%s'%(pcolor[p],ampmarkstyle), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                          newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("Done newylimits")
build	18-Sep-2019 23:19:12	+                                  if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                      pb.plot(frequenciesGHz[index], amplitudeSolutionX,'%s%s'%(p2color[0],bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                      newylimits = recalcYlimitsFreq(chanrange, newylimits, amplitudeSolutionX, sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                      pb.plot(frequenciesGHz2[index], amplitudeSolution2X, '%s%s'%(p3color[0],bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                      newylimits = recalcYlimitsFreq(chanrange, newylimits, amplitudeSolution2X, sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("Done newylimits2,3")
build	18-Sep-2019 23:19:12	+                                  if (nPolarizations == 2):
build	18-Sep-2019 23:19:12	+                                     if (debug): print("dualpol")
build	18-Sep-2019 23:19:12	+                                     if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                        pb.plot(frequenciesGHz[index], amplitudeSolutionY,'%s%s'%(p2color[1],bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                        if (debug): print("A")
build	18-Sep-2019 23:19:12	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, amplitudeSolutionY, sideband,plotrange,ychannels,debug,12,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                        if (debug): print("B")
build	18-Sep-2019 23:19:12	+                                        pb.plot(frequenciesGHz2[index], amplitudeSolution2Y, '%s%s'%(p3color[1],bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                        if (debug): print("C")
build	18-Sep-2019 23:19:12	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, amplitudeSolution2Y, sideband,plotrange,ychannels2,debug,13,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("Done this block")
build	18-Sep-2019 23:19:12	+                              else:
build	18-Sep-2019 23:19:12	+                                  pb.hold(True)
build	18-Sep-2019 23:19:12	+                                  for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                      if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                          pb.plot(pfrequencies[p], gamp[p],'%s%s'%(pcolor[p],ampmarkstyle), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                          newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                  if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                      pb.plot(frequenciesGHz[index], amplitudeSolutionX,'%s%s'%(p2color[0],bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                      newylimits = recalcYlimitsFreq(chanrange, newylimits, amplitudeSolutionX, sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                  if (nPolarizations == 2):
build	18-Sep-2019 23:19:12	+                                     if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                        pb.plot(frequenciesGHz[index], amplitudeSolutionY,'%s%s'%(p2color[1],bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, amplitudeSolutionY, sideband,plotrange,ychannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                              # endif (bpolyOverlay2)
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              # we are not overlaying any B or polynomial solutions      'amp vs. freq'
build	18-Sep-2019 23:19:12	+                              if (showflagged):
build	18-Sep-2019 23:19:12	+                                  # Also show the flagged data to see where the flags are
build	18-Sep-2019 23:19:12	+                                  pb.hold(True)  # Matches line 2326 for xaxis='chan'
build	18-Sep-2019 23:19:12	+                                  for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                    if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                      if (overlayAntennas or overlayTimes):
build	18-Sep-2019 23:19:12	+                                        pdesc1 = pb.plot(pfrequencies[p], gamp[p], '%s'%ampmarkstyles[p], markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                        if (overlayAntennas and overlayTimes==False):
build	18-Sep-2019 23:19:12	+                                            pb.setp(pdesc1, color=overlayColors[xctr])
build	18-Sep-2019 23:19:12	+                                        elif (overlayTimes and overlayAntennas==False):
build	18-Sep-2019 23:19:12	+                                            pb.setp(pdesc1, color=overlayColors[mytime])
build	18-Sep-2019 23:19:12	+                                        elif (overlayTimes and overlayAntennas): # try to support antenna,time
build	18-Sep-2019 23:19:12	+                                            if (myUniqueTime != []):
build	18-Sep-2019 23:19:12	+                                                pb.setp(pdesc1, color=overlayColors[myUniqueTime])
build	18-Sep-2019 23:19:12	+                                                # The third 'or' below is needed if pol='0' is flagged on antenna 0. -- 2012/10/12 (original spot)
build	18-Sep-2019 23:19:12	+                                                if (p==0 or len(polsToPlot)==1 or myUniqueColor==[]):
build	18-Sep-2019 23:19:12	+                                                    myUniqueColor.append(overlayColors[len(myUniqueColor)])
build	18-Sep-2019 23:19:12	+                                                pb.setp(pdesc1, color=myUniqueColor[-1])
build	18-Sep-2019 23:19:12	+                                      else:
build	18-Sep-2019 23:19:12	+                                        pb.plot(pfrequencies[p], gamp[p], '%s%s'%(pcolor[p],ampmarkstyles[p]), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                              else:   # showing only unflagged data    'amp vs. freq'
build	18-Sep-2019 23:19:12	+                                  pb.hold(True)
build	18-Sep-2019 23:19:12	+                                  for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                                    if (debug):
build	18-Sep-2019 23:19:12	+                                        print("*p=%d, polsToPlot=%s, len(fieldsToPlot)=%d, len(timerangeList)=%d, myUniqueTime=%s" % (p,str(polsToPlot),len(fieldsToPlot),len(timerangeList), str(myUniqueTime)))
build	18-Sep-2019 23:19:12	+                                    if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                      if (len(gamp[p]) == 0):  # Try this on Apr 2, 2012
build	18-Sep-2019 23:19:12	+# #     # #                                print("=============== Skipping flagged data on antenna %d = %s" % (xant,antstring))
build	18-Sep-2019 23:19:12	+                                          continue
build	18-Sep-2019 23:19:12	+                                      if (overlayAntennas or overlayTimes):
build	18-Sep-2019 23:19:12	+                                        pdesc = pb.plot(pfrequencies[p], gamp[p], '%s'%ampmarkstyles[p], markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                        if (overlayAntennas and overlayTimes==False):
build	18-Sep-2019 23:19:12	+                                            pb.setp(pdesc, color=overlayColors[xctr])
build	18-Sep-2019 23:19:12	+                                        elif (overlayTimes and overlayAntennas==False):
build	18-Sep-2019 23:19:12	+                                            pb.setp(pdesc, color=overlayColors[mytime])
build	18-Sep-2019 23:19:12	+                                        elif (overlayTimes and overlayAntennas):     #  try to support antenna,time
build	18-Sep-2019 23:19:12	+                                            if (myUniqueTime != []):
build	18-Sep-2019 23:19:12	+                                                pb.setp(pdesc, color=overlayColors[myUniqueTime])
build	18-Sep-2019 23:19:12	+                                                # The third 'or' below is needed if pol='0' is flagged on antenna 0. -- 2012/10/12 (original spot)
build	18-Sep-2019 23:19:12	+                                                if (p==0 or len(polsToPlot)==1 or myUniqueColor==[]):
build	18-Sep-2019 23:19:12	+                                                    myUniqueColor.append(overlayColors[len(myUniqueColor)])
build	18-Sep-2019 23:19:12	+                                                if (debug):
build	18-Sep-2019 23:19:12	+                                                    print("myUniqueColor = %s" % (str(myUniqueColor)))
build	18-Sep-2019 23:19:12	+                                                pb.setp(pdesc, color=myUniqueColor[-1])
build	18-Sep-2019 23:19:12	+                                      else:
build	18-Sep-2019 23:19:12	+                                         if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                            # since there is no overlay, don't use dashed line, so zero ------v
build	18-Sep-2019 23:19:12	+                                            pb.plot(pfrequencies[p], gamp[p], '%s%s'%(pcolor[p],ampmarkstyles[0]),markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                                            newylimits = recalcYlimitsFreq(chanrange, newylimits, gamp[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:12	+                                            #                        print("newylimits for amp = ", newylimits)
build	18-Sep-2019 23:19:12	+#                                  if (debug): print("finished 'for' loop")
build	18-Sep-2019 23:19:12	+                                  if (sum(xflag)>0):
build	18-Sep-2019 23:19:12	+                                      # print("amp: Resetting xaxis frequency range to counteract flagged data")
build	18-Sep-2019 23:19:12	+                                      myxrange = np.max(frequencies)-np.min(frequencies)
build	18-Sep-2019 23:19:12	+                                      SetNewXLimits([np.min(frequencies)-0.15*myxrange, np.max(frequencies)+0.15*myxrange],4)
build	18-Sep-2019 23:19:12	+                                      
build	18-Sep-2019 23:19:12	+                          if (1==1 or (xframe in bottomRowFrames) or (xctr+1==len(antennasToPlot) and ispw==spwsToPlot[-1])):
build	18-Sep-2019 23:19:12	+                              # use 1==1 because spw might change between top row and bottom row of frames
build	18-Sep-2019 23:19:12	+                              pb.xlabel(xlabelString, size=mysize)
build	18-Sep-2019 23:19:12	+                      # endif (xaxis=='chan' elif xaxis=='freq'  for 'amp')
build	18-Sep-2019 23:19:12	+                      if (debug): print("finished 'if' block")
build	18-Sep-2019 23:19:12	+                      if (overlayTimes):
build	18-Sep-2019 23:19:12	+                          timeString =''
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          if (len(uniqueTimes) > mytime):
build	18-Sep-2019 23:19:12	+                              timeString = ',  t%d/%d  %s' % (mytime,nUniqueTimes-1,utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:12	+                              if (scansForUniqueTimes != []):
build	18-Sep-2019 23:19:12	+                                  if (scansForUniqueTimes[mytime]>=0):
build	18-Sep-2019 23:19:12	+                                      timeString = ',  scan%d  %s' % (scansForUniqueTimes[mytime],utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:12	+                      spwString = buildSpwString(overlaySpws, overlayBasebands,
build	18-Sep-2019 23:19:12	+                                                 spwsToPlot, ispw, originalSpw[ispw],
build	18-Sep-2019 23:19:12	+                                                 observatoryName, baseband, 
build	18-Sep-2019 23:19:12	+                                                 showBasebandNumber)
build	18-Sep-2019 23:19:12	+                      if (overlayTimes and len(fieldsToPlot) > 1):
build	18-Sep-2019 23:19:12	+                          indices = fstring = ''
build	18-Sep-2019 23:19:12	+                          for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:12	+                              if (f != fieldIndicesToPlot[0]):
build	18-Sep-2019 23:19:12	+                                  indices += ','
build	18-Sep-2019 23:19:12	+                                  fstring += ','
build	18-Sep-2019 23:19:12	+                              indices += str(uniqueFields[f])
build	18-Sep-2019 23:19:12	+                              if (msFound):
build	18-Sep-2019 23:19:12	+                                  fstring += msFields[uniqueFields[f]]
build	18-Sep-2019 23:19:12	+                          if (len(fstring) > fstringLimit):
build	18-Sep-2019 23:19:12	+                              fstring = fstring[0:fstringLimit] + '...'
build	18-Sep-2019 23:19:12	+                          titleString = "%sspw%s,  fields %s: %s%s" % (antennaString,spwString,
build	18-Sep-2019 23:19:12	+                                                                       indices, fstring, timeString)
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          titleString = "%sspw%s,  field %d: %s%s" % (antennaString,spwString,uniqueFields[fieldIndex],
build	18-Sep-2019 23:19:12	+                                                                      fieldString,timeString)
build	18-Sep-2019 23:19:12	+                      tsize = titlesize-int(len(titleString)/(maxCharsBeforeReducingTitleFontSize/subplotCols))
build	18-Sep-2019 23:19:12	+                      pb.title(titleString, size=tsize)
build	18-Sep-2019 23:19:12	+                      if (abs(plotrange[0]) > 0 or abs(plotrange[1]) > 0):
build	18-Sep-2019 23:19:12	+                          SetNewXLimits([plotrange[0],plotrange[1]],5)
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:12	+                          # Here is 1st place where we eliminate white space on right and left edge of the plots: 'amp'
build	18-Sep-2019 23:19:12	+                          if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:12	+                              SetNewXLimits([channels[0],channels[-1]],6)
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              if (zoom != 'intersect'):
build	18-Sep-2019 23:19:12	+                                  if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:12	+                                      SetNewXLimits(frequencyRangeToPlotInBaseband[bbctr],7)
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      SetNewXLimits([frequencies[0], frequencies[-1]],8)
build	18-Sep-2019 23:19:12	+                              if (bOverlay):
build	18-Sep-2019 23:19:12	+                                  if (xrange2 > myxrange+0.1 and zoom != 'intersect'):
build	18-Sep-2019 23:19:12	+                                      TDMisSecond = True
build	18-Sep-2019 23:19:12	+                      if (abs(plotrange[2]) > 0 or abs(plotrange[3]) > 0):
build	18-Sep-2019 23:19:12	+                          SetNewYLimits([plotrange[2],plotrange[3]])
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                      ResizeFonts(adesc,mysize)
build	18-Sep-2019 23:19:12	+                      adesc.xaxis.grid(True,which='major')
build	18-Sep-2019 23:19:12	+                      adesc.yaxis.grid(True,which='major')
build	18-Sep-2019 23:19:12	+                      pb.ylabel(yAmplitudeLabel, size=mysize)
build	18-Sep-2019 23:19:12	+                      pb.subplots_adjust(hspace=myhspace, wspace=mywspace)
build	18-Sep-2019 23:19:12	+                      xlim = pb.xlim()
build	18-Sep-2019 23:19:12	+                      ylim = pb.ylim()
build	18-Sep-2019 23:19:12	+                      myxrange = xlim[1]-xlim[0]
build	18-Sep-2019 23:19:12	+                      yrange = ylim[1]-ylim[0]
build	18-Sep-2019 23:19:12	+                      if (debug): print("amp: ylim, yrange = ",  ylim, yrange)
build	18-Sep-2019 23:19:12	+                      if (overlayAntennas == False and overlayTimes == False and bOverlay == False and
build	18-Sep-2019 23:19:12	+                          ((overlaySpws == False and overlayBasebands == False) or spwctr==spwctrFirstToPlot)):
build	18-Sep-2019 23:19:12	+                          # draw polarization labels for no overlay
build	18-Sep-2019 23:19:12	+                          x0 = xstartPolLabel
build	18-Sep-2019 23:19:12	+                          y0 = ystartPolLabel
build	18-Sep-2019 23:19:12	+                          for p in range(nPolarizations):
build	18-Sep-2019 23:19:12	+                             if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                pb.text(x0, y0-subplotRows*p*0.03, corrTypeToString(corr_type[p]),
build	18-Sep-2019 23:19:12	+                                        color=pcolor[p],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                                if (channeldiff > 0):
build	18-Sep-2019 23:19:12	+                                    pb.text(x0, ystartMadLabel-0.03*subplotRows*p,
build	18-Sep-2019 23:19:12	+                                            corrTypeToString(corr_type[p])+' MAD = %.4f, St.Dev = %.4f'%(gamp_mad[p]['mad'],gamp_std[p]['std']),
build	18-Sep-2019 23:19:12	+                                            color=pcolor[p],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                          if (xframe == firstFrame):
build	18-Sep-2019 23:19:12	+                                # draw title including caltable name
build	18-Sep-2019 23:19:12	+                                caltableList = caltableTitle
build	18-Sep-2019 23:19:12	+                                if (bpolyOverlay):
build	18-Sep-2019 23:19:12	+                                      caltableList += ', ' + caltable2 + ' (degamp=%d, degphase=%d)'%(nPolyAmp[index]-1,nPolyPhase[index]-1)
build	18-Sep-2019 23:19:12	+                                      if (bpolyOverlay2):
build	18-Sep-2019 23:19:12	+                                            caltableList += ', ' + caltable3 + ' (degamp=%d, degphase=%d)'%(nPolyAmp2[index]-1,nPolyPhase2[index]-1)
build	18-Sep-2019 23:19:12	+                                pb.text(xstartTitle, ystartTitle, caltableList, size=titlesize,
build	18-Sep-2019 23:19:12	+                                        color='k', transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                      elif (overlayAntennas==True and xant==antennasToPlot[-1] and bOverlay == False   # ):
build	18-Sep-2019 23:19:12	+                            and overlayTimes==False):  # try to support antenna,time  avoid antenna labels 'phase'
build	18-Sep-2019 23:19:12	+                              # We do this last, because by then, the limits will be stable.
build	18-Sep-2019 23:19:12	+                              if (debug): print("overlayAntennas=True")
build	18-Sep-2019 23:19:12	+                              x0 = xstartPolLabel
build	18-Sep-2019 23:19:12	+                              y0 = ystartPolLabel
build	18-Sep-2019 23:19:12	+                              # draw polarization labels
build	18-Sep-2019 23:19:12	+                              if (debug): print("1) overlayAntennas=True")
build	18-Sep-2019 23:19:12	+                              if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                if (channeldiff > 0):
build	18-Sep-2019 23:19:12	+                                    pb.text(x0, ystartMadLabel-0.03*subplotRows*0,
build	18-Sep-2019 23:19:12	+                                            corrTypeToString(corr_type[0])+' MAD = %.4f, St.Dev = %.4f'%(gamp_mad[0]['mad'],gamp_std[0]['std']),
build	18-Sep-2019 23:19:12	+                                            color=overlayColors[0],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                                if (ampmarkstyle.find('-')>=0):
build	18-Sep-2019 23:19:12	+                                    pb.text(x0, y0, corrTypeToString(corr_type[0])+' solid', color=overlayColors[0],size=mysize,
build	18-Sep-2019 23:19:12	+                                            transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                                else:
build	18-Sep-2019 23:19:12	+                                    pb.text(x0+0.02, y0, corrTypeToString(corr_type[0]), color=overlayColors[0],size=mysize,
build	18-Sep-2019 23:19:12	+                                            transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                                    pdesc = pb.plot([x0-0.01], [y0], '%sk'%ampmarkstyle, markersize=markersize,
build	18-Sep-2019 23:19:12	+                                                    scalex=False,scaley=False, transform=pb.gca().transAxes,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                              if (debug): print("2) overlayAntennas=True")
build	18-Sep-2019 23:19:12	+                              if (len(corr_type) > 1):
build	18-Sep-2019 23:19:12	+                               if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:12	+                                if (channeldiff > 0):
build	18-Sep-2019 23:19:12	+                                    pb.text(x0, ystartMadLabel-0.03*subplotRows*1,
build	18-Sep-2019 23:19:12	+                                            corrTypeToString(corr_type[1])+' MAD = %.4f, St.Dev = %.4f'%(gamp_mad[1]['mad'],gamp_std[1]['std']),
build	18-Sep-2019 23:19:12	+                                            color=overlayColors[0],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                                if (ampmarkstyle2.find('--')>=0):
build	18-Sep-2019 23:19:12	+                                  pb.text(x0, y0-0.03*subplotRows, corrTypeToString(corr_type[1])+' dashed',
build	18-Sep-2019 23:19:12	+                                          color=overlayColors[0],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                                else:
build	18-Sep-2019 23:19:12	+                                  pb.text(x0+0.02, y0-0.03*subplotRows, corrTypeToString(corr_type[1]),
build	18-Sep-2019 23:19:12	+                                          color=overlayColors[0],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:12	+                                  pdesc = pb.plot([x0-0.01], [y0-0.03*subplotRows], '%sk'%ampmarkstyle2,
build	18-Sep-2019 23:19:12	+                                                  markersize=markersize, scalex=False,scaley=False,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:12	+                              if (debug): print("3) overlayAntennas=True")
build	18-Sep-2019 23:19:12	+                              if (xframe == firstFrame):
build	18-Sep-2019 23:19:12	+                                  # draw title including caltable name
build	18-Sep-2019 23:19:12	+                                  if (debug): print("4) overlayAntennas=True")
build	18-Sep-2019 23:19:12	+                                  pb.text(xstartTitle, ystartTitle, caltableTitle, size=titlesize, color='k',
build	18-Sep-2019 23:19:12	+                                          transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("5) overlayAntennas=True")
build	18-Sep-2019 23:19:12	+                                  DrawAntennaNames(msAnt, antennasToPlot, msFound, mysize)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("6) overlayAntennas=True")
build	18-Sep-2019 23:19:12	+                      elif (overlayTimes==True and bOverlay == False
build	18-Sep-2019 23:19:12	+                            and overlayAntennas==False):  # try to support antenna,time
build	18-Sep-2019 23:19:12	+                          doneOverlayTime = True  # assumed until proven otherwise in the 'for' loop
build	18-Sep-2019 23:19:12	+                          for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:12	+                            if (len(uniqueTimesPerFieldPerSpw[ispwInCalTable][f]) > 0):
build	18-Sep-2019 23:19:12	+                              if ((uniqueTimes[mytime] < uniqueTimesPerFieldPerSpw[ispwInCalTable][f][-1]-solutionTimeThresholdSeconds) and
build	18-Sep-2019 23:19:12	+                                  (uniqueTimes[mytime] < timerangeListTimes[-1])):
build	18-Sep-2019 23:19:12	+                                  if (debug):
build	18-Sep-2019 23:19:12	+                                      print("-----------Not done because %.0f < %.0f-%d for fieldIndex=%d and <%.0f" % (uniqueTimes[mytime], uniqueTimesPerFieldPerSpw[ispwInCalTable][f][-1], solutionTimeThresholdSeconds, f, timerangeListTimes[-1]))
build	18-Sep-2019 23:19:12	+                                      print("-----------ispwInCalTable=%d, mytime=%d, len(uniqueTimes) = %d" % (ispwInCalTable, mytime, len(uniqueTimes)))
build	18-Sep-2019 23:19:12	+                                  doneOverlayTime = False
build	18-Sep-2019 23:19:12	+                          if (debug):
build	18-Sep-2019 23:19:12	+                              print("------doneOverlayTime = %s" % (str(doneOverlayTime)))
build	18-Sep-2019 23:19:12	+                          if (doneOverlayTime):
build	18-Sep-2019 23:19:12	+                          # either it is the last time of any times in solution, or the last time in the list of times to plot
build	18-Sep-2019 23:19:12	+                              if (debug):
build	18-Sep-2019 23:19:12	+                                  print("*** on last time = %d for last fieldIndex %d  or %d>=%d" % (mytime,fieldIndex,mytime,timerangeList[-1]))
build	18-Sep-2019 23:19:12	+                              mytime = nUniqueTimes-1
build	18-Sep-2019 23:19:12	+                              # We do this last, because by then, the limits will be broad enought and stable.
build	18-Sep-2019 23:19:12	+                              # draw polarization labels
build	18-Sep-2019 23:19:12	+                              DrawPolarizationLabelsForOverlayTime(xstartPolLabel,ystartPolLabel,corr_type,polsToPlot,
build	18-Sep-2019 23:19:12	+                                                                   channeldiff,ystartMadLabel,subplotRows,gamp_mad,mysize,
build	18-Sep-2019 23:19:12	+                                                                   ampmarkstyle,markersize,ampmarkstyle2, gamp_std)
build	18-Sep-2019 23:19:12	+                              if (xframe == firstFrame):
build	18-Sep-2019 23:19:12	+                                  # draw title including caltable name
build	18-Sep-2019 23:19:12	+                                  pb.text(xstartTitle, ystartTitle, caltableTitle, size=titlesize,
build	18-Sep-2019 23:19:12	+                                          color='k', transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+                                  if (debug): print("drawOverlayTimeLegends loc 2")
build	18-Sep-2019 23:19:12	+                                  drawOverlayTimeLegends(xframe,firstFrame,xstartTitle,ystartTitle,
build	18-Sep-2019 23:19:12	+                                                         caltable,titlesize,fieldIndicesToPlot,
build	18-Sep-2019 23:19:12	+                                                         ispwInCalTable,uniqueTimesPerFieldPerSpw,
build	18-Sep-2019 23:19:12	+                                                         timerangeListTimes, solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                                         debugSloppyMatch,ystartOverlayLegend,debug,mysize,
build	18-Sep-2019 23:19:12	+                                                         fieldsToPlot,myUniqueColor,timeHorizontalSpacing,
build	18-Sep-2019 23:19:12	+                                                         fieldIndex,overlayColors, antennaVerticalSpacing,
build	18-Sep-2019 23:19:12	+                                                         overlayAntennas, timerangeList, caltableTitle,
build	18-Sep-2019 23:19:12	+                                                         mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes)
build	18-Sep-2019 23:19:12	+#                                                         mytime, scansToPlot, scansForUniqueTimes) # task version
build	18-Sep-2019 23:19:12	+                                  if (debug): print("done drawOverlayTimeLegends loc 2")
build	18-Sep-2019 23:19:12	+                      elif (overlayAntennas and overlayTimes):  # Oct 23, 2012
build	18-Sep-2019 23:19:12	+                          # This will only happen for overlay='antenna,time'
build	18-Sep-2019 23:19:12	+                          if (xframe == firstFrame and mytime == firstTimeMatch and xctr==firstUnflaggedAntennaToPlot and bOverlay==False):  # bug fix on 2015-08-19 for CAS-7820
build	18-Sep-2019 23:19:12	+                              # draw title including caltable name
build	18-Sep-2019 23:19:12	+                              pb.text(xstartTitle, ystartTitle, caltableTitle, size=titlesize, color='k',
build	18-Sep-2019 23:19:12	+                                      transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:12	+                              DrawBottomLegendPageCoords(msName, uniqueTimes[mytime], mysize, figfile)
build	18-Sep-2019 23:19:12	+                          # Adding the following 'for' loop on Mar 13, 2013 to support the case of
build	18-Sep-2019 23:19:12	+                          # single time range with overlay='antenna,time'
build	18-Sep-2019 23:19:12	+                          if (xant==antennasToPlot[-1]):
build	18-Sep-2019 23:19:12	+                            doneOverlayTime = True  # assumed until proven otherwise in the 'for' loop
build	18-Sep-2019 23:19:12	+                            for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:12	+                                if (len(uniqueTimesPerFieldPerSpw[ispwInCalTable][f]) > 0):
build	18-Sep-2019 23:19:12	+                                    if ((uniqueTimes[mytime] < uniqueTimesPerFieldPerSpw[ispwInCalTable][f][-1]-solutionTimeThresholdSeconds) and
build	18-Sep-2019 23:19:12	+                                        (uniqueTimes[mytime] < timerangeListTimes[-1])):
build	18-Sep-2019 23:19:12	+                                        if (debug):
build	18-Sep-2019 23:19:12	+                                            print("-----------Not done because %.0f < %.0f-%d for fieldIndex=%d and <%.0f" % (uniqueTimes[mytime], uniqueTimesPerFieldPerSpw[ispwInCalTable][f][-1], solutionTimeThresholdSeconds, f, timerangeListTimes[-1]))
build	18-Sep-2019 23:19:12	+                                            print("-----------ispwInCalTable=%d, mytime=%d, len(uniqueTimes) = %d" % (ispwInCalTable, mytime, len(uniqueTimes)))
build	18-Sep-2019 23:19:12	+                                        doneOverlayTime = False
build	18-Sep-2019 23:19:12	+                            if (doneOverlayTime):
build	18-Sep-2019 23:19:12	+                                # This is necessary for the case that no antennas were flagged for the single timerange selected
build	18-Sep-2019 23:19:12	+                                if (debug): print("drawOverlayTimeLegends loc 3")
build	18-Sep-2019 23:19:12	+                                drawOverlayTimeLegends(xframe,firstFrame,xstartTitle,ystartTitle,caltable,titlesize,
build	18-Sep-2019 23:19:12	+                                                       fieldIndicesToPlot,ispwInCalTable,uniqueTimesPerFieldPerSpw,
build	18-Sep-2019 23:19:12	+                                                       timerangeListTimes, solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:12	+                                                       debugSloppyMatch,ystartOverlayLegend,debug,mysize,
build	18-Sep-2019 23:19:12	+                                                       fieldsToPlot,myUniqueColor,timeHorizontalSpacing,
build	18-Sep-2019 23:19:12	+                                                       fieldIndex,overlayColors, antennaVerticalSpacing,
build	18-Sep-2019 23:19:12	+                                                       overlayAntennas, timerangeList, caltableTitle,
build	18-Sep-2019 23:19:12	+                                                       mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes)
build	18-Sep-2019 23:19:12	+#                                                       mytime, scansToPlot, scansForUniqueTimes) # task version
build	18-Sep-2019 23:19:12	+        
build	18-Sep-2019 23:19:12	+          
build	18-Sep-2019 23:19:12	+                      if (debug): print("####### 2nd place")
build	18-Sep-2019 23:19:12	+                      # Here is 2nd place where we eliminate any white space on the right and left edge of the plots: 'amp'
build	18-Sep-2019 23:19:12	+                      #
build	18-Sep-2019 23:19:12	+                      if (abs(plotrange[2]) > 0 or abs(plotrange[3]) > 0):
build	18-Sep-2019 23:19:12	+                          SetNewYLimits([plotrange[2],plotrange[3]])
build	18-Sep-2019 23:19:12	+                      if (plotrange[0]==0 and plotrange[1]==0):
build	18-Sep-2019 23:19:12	+                          if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:12	+                              SetNewXLimits([channels[0],channels[-1]],9)
build	18-Sep-2019 23:19:12	+                          else:
build	18-Sep-2019 23:19:12	+                              if (zoom != 'intersect'):
build	18-Sep-2019 23:19:12	+                                  if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:12	+                                      SetNewXLimits(frequencyRangeToPlotInBaseband[bbctr],10)
build	18-Sep-2019 23:19:12	+                                  else:
build	18-Sep-2019 23:19:12	+                                      SetNewXLimits([frequencies[0], frequencies[-1]],11)
build	18-Sep-2019 23:19:12	+                              if (bOverlay):
build	18-Sep-2019 23:19:12	+# #     # #                        print("Checking if %f >= %f" % (xrange2, myxrange))
build	18-Sep-2019 23:19:12	+                                  if (xrange2 >= myxrange and zoom != 'intersect'):
build	18-Sep-2019 23:19:12	+                                      # This is necessary if caltable2=TDM and caltable=FDM
build	18-Sep-2019 23:19:12	+                                      SetNewXLimits([frequencies2[0], frequencies2[-1]],12)
build	18-Sep-2019 23:19:12	+                                  if (xrange2 > myxrange+0.1 and zoom != 'intersect'):
build	18-Sep-2019 23:19:12	+                                      TDMisSecond = True
build	18-Sep-2019 23:19:12	+                      else:
build	18-Sep-2019 23:19:13	+                          SetNewXLimits([plotrange[0], plotrange[1]],13)
build	18-Sep-2019 23:19:13	+                      if (debug): print("done SetNewXLimits")
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      # I need the following line for chanrange to work
build	18-Sep-2019 23:19:13	+                      if (chanrange[0] != 0 or chanrange[1] != 0 or chanrangePercent != None):
build	18-Sep-2019 23:19:13	+                          SetLimits(plotrange, chanrange, newylimits, channels, frequencies, pfrequencies,
build	18-Sep-2019 23:19:13	+                                    ampMin, ampMax, xaxis,pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:13	+                                    chanrangePercent)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      # Finally, draw the atmosphere and FDM windows, if requested.  'amp'
build	18-Sep-2019 23:19:13	+                      if ((overlayAntennas==False and overlayTimes==False) or
build	18-Sep-2019 23:19:13	+                          (overlayAntennas==True and overlayTimes==False and xant==antennasToPlot[-1]) or
build	18-Sep-2019 23:19:13	+                          (overlayTimes==True and overlayAntennas==False and doneOverlayTime) or
build	18-Sep-2019 23:19:13	+#       #                  (xant==antennasToPlot[-1] and doneOverlayTime) # support showatm with overlay='antenna,time'
build	18-Sep-2019 23:19:13	+                          (overlayTimes and overlayAntennas and  # Aug 5, 2013
build	18-Sep-2019 23:19:13	+                           xant==antennasToPlot[-1] and doneOverlayTime and mytime==finalTimeMatch # 2015-08-19 for CAS-7820
build	18-Sep-2019 23:19:13	+                           and not drewAtmosphere)  # added on 2014-12-04 to support case of a flagged antenna CAS-7187
build	18-Sep-2019 23:19:13	+                          ):
build	18-Sep-2019 23:19:13	+                          if ((showatm or showtsky) and len(atmString) > 0): 
build	18-Sep-2019 23:19:13	+                              DrawAtmosphere(showatm, showtsky, subplotRows, atmString,
build	18-Sep-2019 23:19:13	+                                             mysize, TebbSky, plotrange, xaxis, atmchan,
build	18-Sep-2019 23:19:13	+                                             atmfreq, transmission, subplotCols,
build	18-Sep-2019 23:19:13	+                                             showatmPoints=showatmPoints, xframe=xframe, 
build	18-Sep-2019 23:19:13	+                                             channels=channels,mylineno=lineNumber(),
build	18-Sep-2019 23:19:13	+                                             overlaySpws=overlaySpws,
build	18-Sep-2019 23:19:13	+                                             overlayBasebands=overlayBasebands,
build	18-Sep-2019 23:19:13	+                                             drewAtmosphere=drewAtmosphere)
build	18-Sep-2019 23:19:13	+                              if (LO1 != '' and LO1 is not None):
build	18-Sep-2019 23:19:13	+                                  # Now draw the image band
build	18-Sep-2019 23:19:13	+                                  DrawAtmosphere(showatm,showtsky, subplotRows, atmString,
build	18-Sep-2019 23:19:13	+                                                 mysize, TebbSkyImage, plotrange, xaxis,
build	18-Sep-2019 23:19:13	+                                                 atmchanImage, atmfreqImage, transmissionImage,
build	18-Sep-2019 23:19:13	+                                                 subplotCols, LO1, xframe, firstFrame,
build	18-Sep-2019 23:19:13	+                                                 showatmPoints, 
build	18-Sep-2019 23:19:13	+                                                 channels=channels,mylineno=lineNumber(),
build	18-Sep-2019 23:19:13	+                                                 overlaySpws=overlaySpws,
build	18-Sep-2019 23:19:13	+                                                 overlayBasebands=overlayBasebands,
build	18-Sep-2019 23:19:13	+                                                 drewAtmosphere=drewAtmosphere)
build	18-Sep-2019 23:19:13	+                              drewAtmosphere = True
build	18-Sep-2019 23:19:13	+                          if (xaxis.find('freq')>=0 and showfdm and nChannels <= 256):
build	18-Sep-2019 23:19:13	+                              if (tableFormat == 33):
build	18-Sep-2019 23:19:13	+                                  showFDM(originalSpw_casa33, chanFreqGHz_casa33, baseband, showBasebandNumber, basebandDict)
build	18-Sep-2019 23:19:13	+                              else:
build	18-Sep-2019 23:19:13	+                                  showFDM(originalSpw, chanFreqGHz, baseband, showBasebandNumber, basebandDict)
build	18-Sep-2019 23:19:13	+                      if (debug): print("done drawAtmosphere/FDM check")
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      if (bOverlay):
build	18-Sep-2019 23:19:13	+                          # draw polarization labels
build	18-Sep-2019 23:19:13	+                          x0 = xstartPolLabel
build	18-Sep-2019 23:19:13	+                          y0 = ystartPolLabel
build	18-Sep-2019 23:19:13	+                          for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                              if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, y0-p*0.03*subplotRows, corrTypeToString(corr_type[p])+'-c1',
build	18-Sep-2019 23:19:13	+                                          color=pcolor[p],size=mysize,transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, y0-p*0.03*subplotRows-0.06*subplotRows, corrTypeToString(corr_type[p])+'-c2',
build	18-Sep-2019 23:19:13	+                                          color=p2color[p],size=mysize,transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                      if (debug): print("done pol labels")
build	18-Sep-2019 23:19:13	+                      if (bpolyOverlay and xaxis.find('freq')>=0):
build	18-Sep-2019 23:19:13	+                          # draw polarization labels
build	18-Sep-2019 23:19:13	+                          x0 = xstartPolLabel
build	18-Sep-2019 23:19:13	+                          y0 = ystartPolLabel
build	18-Sep-2019 23:19:13	+                          if (x2color != xcolor):
build	18-Sep-2019 23:19:13	+                                for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                    if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                        pb.text(x0+0.1, y0-p*0.03*subplotRows, corrTypeToString(corr_type[p]), color=p2color[p],
build	18-Sep-2019 23:19:13	+                                                size=mysize,transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                          if (bpolyOverlay2):
build	18-Sep-2019 23:19:13	+                                for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                      if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                            pb.text(x0+0.2, y0-p*0.03*subplotRows, corrTypeToString(corr_type[p]),
build	18-Sep-2019 23:19:13	+                                                    color=p3color[p], size=mysize,transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                          
build	18-Sep-2019 23:19:13	+# #     # #            if (xframe == 111 and amplitudeWithPhase):
build	18-Sep-2019 23:19:13	+                      myIndexTime = uniqueTimesPerFieldPerSpw[ispwInCalTable][fieldIndex][-1]
build	18-Sep-2019 23:19:13	+                      if (debug): print("running sloppyMatch")
build	18-Sep-2019 23:19:13	+                      matched,mymatch = sloppyMatch(myIndexTime,uniqueTimes,solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:13	+                                                    mytime, scansToPlotPerSpw[ispw],  # add PerSpw[ispw] on 2014-04-05
build	18-Sep-2019 23:19:13	+                                                    scansForUniqueTimes,
build	18-Sep-2019 23:19:13	+                                                    whichone=True,myprint=debug)
build	18-Sep-2019 23:19:13	+                      if (debug):
build	18-Sep-2019 23:19:13	+                          print("1)done sloppyMatch, mytime=%d, scansForUniqueTimes=%s" % (mytime,str(scansForUniqueTimes)))
build	18-Sep-2019 23:19:13	+                          print("ispw=%d" % (ispw))
build	18-Sep-2019 23:19:13	+                          print("len(scansToPlotPerSpw)=%d" % (len(scansToPlotPerSpw)))
build	18-Sep-2019 23:19:13	+                      if (matched == False and scansForUniqueTimes[mytime] in scansToPlotPerSpw[ispw]):
build	18-Sep-2019 23:19:13	+                          print("---------- 1) Did not find %f in %s" % (myIndexTime,str(uniqueTimes)))
build	18-Sep-2019 23:19:13	+                          print("Try re-running with a smaller solutionTimeThresholdSeconds (currently %f)" % (solutionTimeThresholdSeconds))
build	18-Sep-2019 23:19:13	+                          return
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                          # we are on the final time to be plotted
build	18-Sep-2019 23:19:13	+                          if (debug): print("on the final time")
build	18-Sep-2019 23:19:13	+                          mytimeTest = mytime==nUniqueTimes-1 # mytime==myIndexTime  # mytime==mymatch
build	18-Sep-2019 23:19:13	+                      if ((xframe == 111 and amplitudeWithPhase) or
build	18-Sep-2019 23:19:13	+                          # Following case is needed to make subplot=11 to work for: try to support overlay='antenna,time'
build	18-Sep-2019 23:19:13	+                          (xframe == lastFrame and overlayTimes and overlayAntennas and
build	18-Sep-2019 23:19:13	+                           xctr+1==len(antennasToPlot) and 
build	18-Sep-2019 23:19:13	+#       #                   mytime+1==len(uniqueTimes) and  # this worked for nspw <= 4
build	18-Sep-2019 23:19:13	+                           mytimeTest and
build	18-Sep-2019 23:19:13	+                           spwctr<len(spwsToPlot))):  # removed +1 from spwctr+1 on 2014-04-05 to match au
build	18-Sep-2019 23:19:13	+                               if (debug):
build	18-Sep-2019 23:19:13	+                                   print("xframe=%d  ==  lastFrame=%d,  amplitudeWithPhase=%s" % (xframe, lastFrame, str(amplitudeWithPhase)))
build	18-Sep-2019 23:19:13	+                                   print("xctr+1=%d == len(antennasToPlot)=%d"  % (xctr+1,len(antennasToPlot)))
build	18-Sep-2019 23:19:13	+                                   print("mytime+1=%d == len(uniqueTimes)=%d"  % (mytime+1,len(uniqueTimes)))
build	18-Sep-2019 23:19:13	+                                   print("spwctr+1=%d < len(spwsToPlot)=%d"  % (spwctr+1,len(spwsToPlot)))
build	18-Sep-2019 23:19:13	+                               if (len(figfile) > 0):
build	18-Sep-2019 23:19:13	+                                     plotfiles.append(makeplot(figfile,msFound,msAnt,
build	18-Sep-2019 23:19:13	+                                                               overlayAntennas,pages,pagectr,
build	18-Sep-2019 23:19:13	+                                                               density,interactive,antennasToPlot,
build	18-Sep-2019 23:19:13	+                                                               spwsToPlot,overlayTimes,overlayBasebands,
build	18-Sep-2019 23:19:13	+                                                               3,xant,ispw,subplot,resample,
build	18-Sep-2019 23:19:13	+                                                               debug,figfileSequential,figfileNumber))
build	18-Sep-2019 23:19:13	+                                     figfileNumber += 1
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+                               donetime = timeUtilities.time()
build	18-Sep-2019 23:19:13	+                               drewAtmosphere = False # needed for CAS-7187 (subplot=11)
build	18-Sep-2019 23:19:13	+                               if (interactive):
build	18-Sep-2019 23:19:13	+                                  pb.draw()
build	18-Sep-2019 23:19:13	+# #     # #                        myinput = raw_input(":(%.1f sec) Press return for next page (b for backwards, q to quit): "%(donetime-mytimestamp))
build	18-Sep-2019 23:19:13	+                                  myinput = raw_input("Press return for next page (b for backwards, q to quit): ")
build	18-Sep-2019 23:19:13	+                               else:
build	18-Sep-2019 23:19:13	+                                  myinput = ''
build	18-Sep-2019 23:19:13	+                               skippingSpwMessageSent = 0
build	18-Sep-2019 23:19:13	+                               mytimestamp = timeUtilities.time()
build	18-Sep-2019 23:19:13	+                               if (myinput.find('q') >= 0):
build	18-Sep-2019 23:19:13	+                                   showFinalMessage(overlayAntennas, solutionTimeSpread, nUniqueTimes)
build	18-Sep-2019 23:19:13	+                                   return()
build	18-Sep-2019 23:19:13	+                               if (myinput.find('b') >= 0):
build	18-Sep-2019 23:19:13	+                                   if (pagectr > 0):
build	18-Sep-2019 23:19:13	+                                       if (debug):
build	18-Sep-2019 23:19:13	+                                           print("Decrementing pagectr from %d to %d" % (pagectr, pagectr-1))
build	18-Sep-2019 23:19:13	+                                       pagectr -= 1
build	18-Sep-2019 23:19:13	+                                   else:
build	18-Sep-2019 23:19:13	+                                       if (debug):
build	18-Sep-2019 23:19:13	+                                           print("Not decrementing pagectr=%d" % (pagectr))
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+                                   redisplay = True
build	18-Sep-2019 23:19:13	+                                   #redisplay the current page by setting ctrs back to the value they had at start of that page
build	18-Sep-2019 23:19:13	+                                   xctr = pages[pagectr][PAGE_ANT]
build	18-Sep-2019 23:19:13	+                                   spwctr = pages[pagectr][PAGE_SPW]
build	18-Sep-2019 23:19:13	+                                   mytime = pages[pagectr][PAGE_TIME]
build	18-Sep-2019 23:19:13	+                                   myap = pages[pagectr][PAGE_AP]
build	18-Sep-2019 23:19:13	+                                   xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:13	+                                   antstring, Antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:13	+                                   ispw = spwsToPlot[spwctr]
build	18-Sep-2019 23:19:13	+# #     # #                         print("Returning to [%d,%d,%d,%d]" % (xctr,spwctr,mytime,myap))
build	18-Sep-2019 23:19:13	+                                   if (xctr==pages[0][PAGE_ANT] and spwctr==pages[0][PAGE_SPW] and mytime==pages[0][PAGE_TIME] and pages[0][PAGE_AP]==myap):
build	18-Sep-2019 23:19:13	+                                     pb.clf()
build	18-Sep-2019 23:19:13	+                                     if (debug):
build	18-Sep-2019 23:19:13	+                                         print("2)Setting xframe to %d" % xframeStart)
build	18-Sep-2019 23:19:13	+                                     xframe = xframeStart
build	18-Sep-2019 23:19:13	+                                     myUniqueColor = []
build	18-Sep-2019 23:19:13	+                                     continue
build	18-Sep-2019 23:19:13	+                               else:
build	18-Sep-2019 23:19:13	+                                   pagectr += 1
build	18-Sep-2019 23:19:13	+                                   if (pagectr >= len(pages)):
build	18-Sep-2019 23:19:13	+                                       if (xframe == lastFrame and overlayTimes and overlayAntennas and xctr+1==len(antennasToPlot) and
build	18-Sep-2019 23:19:13	+                                           yaxis=='amp'): 
build	18-Sep-2019 23:19:13	+                                           # I'm not sure why this works, but is needed to fix CAS-7154
build	18-Sep-2019 23:19:13	+                                           myspwctr = spwctr+1
build	18-Sep-2019 23:19:13	+                                       else:
build	18-Sep-2019 23:19:13	+                                           myspwctr = spwctr
build	18-Sep-2019 23:19:13	+                                       pages.append([xctr,myspwctr,mytime,1])
build	18-Sep-2019 23:19:13	+                                       if (debug):
build	18-Sep-2019 23:19:13	+                                           print("amp: appending [%d,%d,%d,%d]" % (xctr,myspwctr,mytime,1))
build	18-Sep-2019 23:19:13	+                                       newpage = 0
build	18-Sep-2019 23:19:13	+                               pb.clf()
build	18-Sep-2019 23:19:13	+                               if (debug):
build	18-Sep-2019 23:19:13	+                                   print("3)Setting xframe to %d" % xframeStart)
build	18-Sep-2019 23:19:13	+                               xframe = xframeStart
build	18-Sep-2019 23:19:13	+                               myUniqueColor = []
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                          if (debug):
build	18-Sep-2019 23:19:13	+                              print("::: Not done page: Not checking whether we need to set xframe=xframeStart")
build	18-Sep-2019 23:19:13	+                              print("::: xframe=%d  ?=  lastFrame=%d,  amplitudeWithPhase=" % (xframe, lastFrame), amplitudeWithPhase)
build	18-Sep-2019 23:19:13	+                              print("::: xctr+1=%d ?= len(antennasToPlot)=%d"  % (xctr+1,len(antennasToPlot)))
build	18-Sep-2019 23:19:13	+                              print(":::: mytimeTest = %s"  % (mytimeTest))
build	18-Sep-2019 23:19:13	+                              print("::: spwctr=%d ?< len(spwsToPlot)=%d"  % (spwctr,len(spwsToPlot)))
build	18-Sep-2019 23:19:13	+###########################################################
build	18-Sep-2019 23:19:13	+################### Here is the phase plotting ############
build	18-Sep-2019 23:19:13	+###########################################################
build	18-Sep-2019 23:19:13	+                  if (yaxis.find('phase')>=0 or amplitudeWithPhase) and doneOverlayTime==False:
build	18-Sep-2019 23:19:13	+                      if (channeldiff > 0):
build	18-Sep-2019 23:19:13	+                          pchannels = [xchannels,ychannels]  # this is necessary because np.diff reduces nchan by 1
build	18-Sep-2019 23:19:13	+                          pfrequencies = [xfrequencies,yfrequencies]  # this is necessary because np.diff reduces nchan by 1
build	18-Sep-2019 23:19:13	+                          if (bOverlay):
build	18-Sep-2019 23:19:13	+                              pchannels2 = [xchannels2,ychannels2]  # this is necessary because np.diff reduces nchan by 1
build	18-Sep-2019 23:19:13	+                              pfrequencies2 = [xfrequencies2,yfrequencies2]  # this is necessary because np.diff reduces nchan by 1
build	18-Sep-2019 23:19:13	+                      if (overlayTimes == False or mytime==firstTimeMatch):  
build	18-Sep-2019 23:19:13	+                        if ((overlaySpws == False and overlayBasebands==False) or spwctr==spwctrFirstToPlot or 
build	18-Sep-2019 23:19:13	+                            spwctr>spwsToPlot[-1] or
build	18-Sep-2019 23:19:13	+                            (overlayBasebands and amplitudeWithPhase)): # CAS-6477
build	18-Sep-2019 23:19:13	+                          if (overlayAntennas==False or xctr==firstUnflaggedAntennaToPlot
build	18-Sep-2019 23:19:13	+                              or xctr>antennasToPlot[-1]):  # 2012-05-24, to fix the case where all ants flagged on one timerange
build	18-Sep-2019 23:19:13	+                              xframe += 1
build	18-Sep-2019 23:19:13	+# #     # #                    print("u) incrementing xframe to %d" % xframe)
build	18-Sep-2019 23:19:13	+                              myUniqueColor = []
build	18-Sep-2019 23:19:13	+                              newylimits = [LARGE_POSITIVE, LARGE_NEGATIVE]
build	18-Sep-2019 23:19:13	+                              if (phase != ''):
build	18-Sep-2019 23:19:13	+                                  if ((phase[0] != 0 or phase[1] != 0) and amplitudeWithPhase):
build	18-Sep-2019 23:19:13	+                                      newylimits = phase
build	18-Sep-2019 23:19:13	+                      if (debug):
build	18-Sep-2019 23:19:13	+                          print("$$$$$$$$$$$$$$$$$$$$$$$  ready to plot phase on xframe %d" % (xframe))
build	18-Sep-2019 23:19:13	+                      adesc = pb.subplot(xframe)
build	18-Sep-2019 23:19:13	+                      if (previousSubplot != xframe):
build	18-Sep-2019 23:19:13	+                          drewAtmosphere = False
build	18-Sep-2019 23:19:13	+                      previousSubplot = xframe
build	18-Sep-2019 23:19:13	+                      pb.hold(overlayAntennas or overlayTimes)
build	18-Sep-2019 23:19:13	+                      gphsx = np.arctan2(np.imag(gplotx),np.real(gplotx))*180.0/math.pi
build	18-Sep-2019 23:19:13	+                      if (nPolarizations == 2):
build	18-Sep-2019 23:19:13	+                          gphsy = np.arctan2(np.imag(gploty),np.real(gploty))*180.0/math.pi
build	18-Sep-2019 23:19:13	+                          if (channeldiff>0):
build	18-Sep-2019 23:19:13	+                              if (xaxis == 'chan'):
build	18-Sep-2019 23:19:13	+                                  gphs0, newx0, gphs0res, newx0res = channelDifferences(gphsx, pchannels[0], resample)
build	18-Sep-2019 23:19:13	+                                  gphs1, newx1, gphs1res, newx1res = channelDifferences(gphsy, pchannels[1], resample)
build	18-Sep-2019 23:19:13	+                                  pchannels = [newx0,newx1]
build	18-Sep-2019 23:19:13	+                              else:
build	18-Sep-2019 23:19:13	+                                  gphs0, newx0, gphs0res, newx0res = channelDifferences(gphsx, pfrequencies[0], resample)
build	18-Sep-2019 23:19:13	+                                  gphs1, newx1, gphs1res, newx1res  = channelDifferences(gphsy, pfrequencies[1], resample)
build	18-Sep-2019 23:19:13	+                                  pfrequencies = [newx0,newx1]
build	18-Sep-2019 23:19:13	+                              gphs = [gphs0, gphs1]
build	18-Sep-2019 23:19:13	+                              gphsres = [gphs0res, gphs1res]
build	18-Sep-2019 23:19:13	+                              gphs_mad = [madInfo(gphs[0],madsigma,edge), madInfo(gphs[1],madsigma,edge)]
build	18-Sep-2019 23:19:13	+                              gphs_std = [stdInfo(gphsres[0],madsigma,edge,ispw,xant,0), stdInfo(gphsres[1],madsigma,edge,ispw,xant,1)]
build	18-Sep-2019 23:19:13	+                              for p in [0,1]:
build	18-Sep-2019 23:19:13	+                                  madstats[Antstring][ispw][mytime][p]['phase'] = gphs_mad[p]['mad']
build	18-Sep-2019 23:19:13	+                                  madstats[Antstring][ispw][mytime][p]['phasestd'] = gphs_std[p]['std']
build	18-Sep-2019 23:19:13	+                                  if (gphs_mad[p]['nchan'] > 0):
build	18-Sep-2019 23:19:13	+                                      checkAbsSum = np.sum(np.abs(gphs[p]))
build	18-Sep-2019 23:19:13	+                                      if (checkAbsSum < PHASE_ABS_SUM_THRESHOLD):
build	18-Sep-2019 23:19:13	+                                          if (debug): print("%s, Pol %d, spw %d, %s, phs: not printing because abs sum of all values near zero (%f)" % (Antstring, p, ispw, utstring(uniqueTimes[mytime],0), checkAbsSum))
build	18-Sep-2019 23:19:13	+                                      else:
build	18-Sep-2019 23:19:13	+                                          casalogPost(debug, "%s, Pol %d, spw %2d, %s, phs: %4d points exceed %.1f sigma (worst=%.2f at chan %d)" % (Antstring, p, ispw, utstring(uniqueTimes[mytime],0), gphs_mad[p]['nchan'], madsigma, gphs_mad[p]['outlierValue'], gphs_mad[p]['outlierChannel']+pchannels[p][0]))
build	18-Sep-2019 23:19:13	+                          else:
build	18-Sep-2019 23:19:13	+                              gphs = [gphsx,gphsy]
build	18-Sep-2019 23:19:13	+                      else:  # 1-pol
build	18-Sep-2019 23:19:13	+                          if (channeldiff>0):
build	18-Sep-2019 23:19:13	+                              if (xaxis == 'chan'):
build	18-Sep-2019 23:19:13	+                                  gphs0, newx0, gphs0res, newx0res = channelDifferences(gphsx, pchannels[0], resample)
build	18-Sep-2019 23:19:13	+                                  pchannels = [newx0]
build	18-Sep-2019 23:19:13	+                              else:
build	18-Sep-2019 23:19:13	+                                  gphs0, newx0, gphs0res, newx0res = channelDifferences(gphsx, pfrequencies[0], resample)
build	18-Sep-2019 23:19:13	+                                  pfrequencies = [newx0]
build	18-Sep-2019 23:19:13	+                              gphs = [gphs0]
build	18-Sep-2019 23:19:13	+                              gphsres = [gphs0res]
build	18-Sep-2019 23:19:13	+                              p = 0
build	18-Sep-2019 23:19:13	+                              gphs_mad = [madInfo(gphs[p], madsigma, edge)]
build	18-Sep-2019 23:19:13	+                              gphs_std = [stdInfo(gphsres[p], madsigma, edge, ispw,xant,p)]
build	18-Sep-2019 23:19:13	+                              madstats[Antstring][ispw][mytime][p]['phase'] = gphs_mad[p]['mad']
build	18-Sep-2019 23:19:13	+                              madstats[Antstring][ispw][mytime][p]['phasestd'] = gphs_mad[p]['std']
build	18-Sep-2019 23:19:13	+                              if (gphs_mad[p]['nchan'] > 0):
build	18-Sep-2019 23:19:13	+                                  checkAbsSum = np.sum(np.abs(gphs[p]))
build	18-Sep-2019 23:19:13	+                                  if (checkAbsSum < PHASE_ABS_SUM_THRESHOLD):
build	18-Sep-2019 23:19:13	+                                      if (debug): print("%s, Pol %d, spw %d, %s, phs: not printing because all values near zero (%f)" % (Antstring, p, ispw, utstring(uniqueTimes[mytime],0), checkAbsSum))
build	18-Sep-2019 23:19:13	+                                  else:
build	18-Sep-2019 23:19:13	+                                      casalogPost(debug, "%s, Pol %d, spw %2d, %s, phs: %4d points exceed %.1f sigma (worst=%.2f at chan %d)" % (Antstring, p, ispw, utstring(uniqueTimes[mytime],0), gphs_mad[p]['nchan'], madsigma, gphs_mad[p]['outlierValue'], gphs_mad[p]['outlierChannel']+pchannels[p][0]))
build	18-Sep-2019 23:19:13	+                          else:
build	18-Sep-2019 23:19:13	+                              gphs = [gphsx]
build	18-Sep-2019 23:19:13	+                      if (bOverlay):
build	18-Sep-2019 23:19:13	+                            if (debug):
build	18-Sep-2019 23:19:13	+                                print("computing phase for second table")
build	18-Sep-2019 23:19:13	+                            gphsx2 = np.arctan2(np.imag(gplotx2),np.real(gplotx2))*180.0/math.pi
build	18-Sep-2019 23:19:13	+                            if (nPolarizations == 2):
build	18-Sep-2019 23:19:13	+                                gphsy2 = np.arctan2(np.imag(gploty2),np.real(gploty2))*180.0/math.pi
build	18-Sep-2019 23:19:13	+                                if (channeldiff>0):
build	18-Sep-2019 23:19:13	+                                    if (xaxis == 'chan'):
build	18-Sep-2019 23:19:13	+                                        gphs2_0, newx0, gphs2_0res, newx0res = channelDifferences(gphsx2, pchannels2[0], resample)
build	18-Sep-2019 23:19:13	+                                        gphs2_1, newx1, gphs2_1res, newx1res  = channelDifferences(gphsy2, pchannels2[1], resample)
build	18-Sep-2019 23:19:13	+                                        pchannels2 = [newx0, newx1]
build	18-Sep-2019 23:19:13	+                                    else:
build	18-Sep-2019 23:19:13	+                                        gphs2_0, newx0, gphs2_0res, newx0res = channelDifferences(gphsx2, pfrequencies2[0], resample)
build	18-Sep-2019 23:19:13	+                                        gphs2_1, newx1, gphs2_1res, newx1res = channelDifferences(gphsy2, pfrequencies2[1], resample)
build	18-Sep-2019 23:19:13	+                                        pfrequencies2 = [newx0, newx1]
build	18-Sep-2019 23:19:13	+                                    gphs2 = [gphs2_0, gphs2_1]
build	18-Sep-2019 23:19:13	+                                    gphs2res = [gphs2_0res, gphs2_1res]
build	18-Sep-2019 23:19:13	+                                else:
build	18-Sep-2019 23:19:13	+                                    gphs2 = [gphsx2, gphsy2]
build	18-Sep-2019 23:19:13	+                            else:
build	18-Sep-2019 23:19:13	+                                if (channeldiff>0):
build	18-Sep-2019 23:19:13	+                                    if (xaxis == 'chan'):
build	18-Sep-2019 23:19:13	+                                        gphs2_0, newx0, gphs2_0res, newx0res = channelDifferences(gphsx2, pchannels2[0], resample)
build	18-Sep-2019 23:19:13	+                                        pchannels2 = [newx0]
build	18-Sep-2019 23:19:13	+                                    else:
build	18-Sep-2019 23:19:13	+                                        gphs2_0, newx0, gphs2_0res, newx0res = channelDifferences(gphsx2, pfrequencies2[0], resample)
build	18-Sep-2019 23:19:13	+                                        pfrequencies2 = [newx0]
build	18-Sep-2019 23:19:13	+                                    gphs2 = [gphs2_0]
build	18-Sep-2019 23:19:13	+                                    gphs2res = [gphs2_0res]
build	18-Sep-2019 23:19:13	+                                else:
build	18-Sep-2019 23:19:13	+                                    gphs2 = [gphsx2]
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                            if (debug):
build	18-Sep-2019 23:19:13	+                                print("bOverlay is FALSE ===========================")
build	18-Sep-2019 23:19:13	+                          
build	18-Sep-2019 23:19:13	+                      if (xaxis.find('chan')>=0 or len(xfrequencies) < 1):    # 'phase'
build	18-Sep-2019 23:19:13	+                          pb.hold(True)
build	18-Sep-2019 23:19:13	+                          for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                            if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                              if (overlayAntennas or overlayTimes):
build	18-Sep-2019 23:19:13	+                                  pdesc = pb.plot(pchannels[p],gphs[p],'%s'%(phasemarkstyles[p]),markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                  newylimits =  recalcYlimits(plotrange,newylimits,gphs[p])  # 10/27/2011
build	18-Sep-2019 23:19:13	+                                  if (newylimits[1]-newylimits[0] < minPhaseRange):
build	18-Sep-2019 23:19:13	+                                      newylimits = [-minPhaseRange,minPhaseRange]
build	18-Sep-2019 23:19:13	+                                  if (phase != ''):
build	18-Sep-2019 23:19:13	+                                      if ((phase[0] != 0 or phase[1] != 0) and amplitudeWithPhase):
build	18-Sep-2019 23:19:13	+                                          newylimits = phase
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                                  if (overlayAntennas and overlayTimes==False):
build	18-Sep-2019 23:19:13	+                                      pb.setp(pdesc, color=overlayColors[xctr])
build	18-Sep-2019 23:19:13	+                                  elif (overlayTimes and overlayAntennas==False):
build	18-Sep-2019 23:19:13	+                                      pb.setp(pdesc, color=overlayColors[mytime])
build	18-Sep-2019 23:19:13	+                                  elif (overlayTimes):   # try to support antenna,time
build	18-Sep-2019 23:19:13	+                                      if (myUniqueTime != []):
build	18-Sep-2019 23:19:13	+                                          pb.setp(pdesc, color=overlayColors[myUniqueTime])
build	18-Sep-2019 23:19:13	+                                          # The third 'or' below is needed if pol='0' is flagged on antenna 0. -- 2012/10/12 (original spot)
build	18-Sep-2019 23:19:13	+                                          if (p==0 or len(polsToPlot)==1 or myUniqueColor==[]):
build	18-Sep-2019 23:19:13	+                                              myUniqueColor.append(overlayColors[len(myUniqueColor)])
build	18-Sep-2019 23:19:13	+                                          pb.setp(pdesc, color=myUniqueColor[-1])
build	18-Sep-2019 23:19:13	+                              else:
build	18-Sep-2019 23:19:13	+                                  pb.plot(pchannels[p],gphs[p],'%s%s'%(pcolor[p],phasemarkstyles[0]), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                  newylimits =  recalcYlimits(plotrange,newylimits,gphs[p]) # 10/27/2011
build	18-Sep-2019 23:19:13	+                                  if (newylimits[1]-newylimits[0] < minPhaseRange):
build	18-Sep-2019 23:19:13	+                                      newylimits = [-minPhaseRange,minPhaseRange]
build	18-Sep-2019 23:19:13	+                                  if (phase != ''):
build	18-Sep-2019 23:19:13	+                                      if ((phase[0] != 0 or phase[1] != 0) and amplitudeWithPhase):
build	18-Sep-2019 23:19:13	+                                          newylimits = phase
build	18-Sep-2019 23:19:13	+                          if (sum(xflag)>0):
build	18-Sep-2019 23:19:13	+# #     # #                    print("phase: Resetting xaxis channel range to counteract flagged data")
build	18-Sep-2019 23:19:13	+                              myxrange = np.max(channels)-np.min(channels)
build	18-Sep-2019 23:19:13	+                              SetNewXLimits([np.min(channels)-myxrange/20, 
build	18-Sep-2019 23:19:13	+                                             np.max(channels)+myxrange/20],14)
build	18-Sep-2019 23:19:13	+                          if (xframe in bottomRowFrames or (xctr+1==len(antennasToPlot) and ispw==spwsToPlot[-1])):
build	18-Sep-2019 23:19:13	+                              pb.xlabel("Channel", size=mysize)
build	18-Sep-2019 23:19:13	+                      elif (xaxis.find('freq')>=0):     # 'phase'
build	18-Sep-2019 23:19:13	+                          if (bOverlay):
build	18-Sep-2019 23:19:13	+                                pb.hold(True)
build	18-Sep-2019 23:19:13	+                                if (debug):
build	18-Sep-2019 23:19:13	+                                    print("Preparing to plot phase from %f-%f for pols: %s" % (xfrequencies[0],xfrequencies[-1],str(polsToPlot)))
build	18-Sep-2019 23:19:13	+                                    print("Preparing to plot phase from %f-%f for pols: %s" % (pfrequencies[p][0],pfrequencies[p][-1],str(polsToPlot)))
build	18-Sep-2019 23:19:13	+                                    print("Preparing to plot phase from %f-%f for pols: %s" % (pfrequencies2[p][0],pfrequencies2[p][-1],str(polsToPlot)))
build	18-Sep-2019 23:19:13	+                                myxrange = np.abs(xfrequencies[0]-xfrequencies[-1])
build	18-Sep-2019 23:19:13	+                                try:
build	18-Sep-2019 23:19:13	+                                    xrange2 = np.abs(xfrequencies2[0]-xfrequencies2[-1])
build	18-Sep-2019 23:19:13	+                                except:
build	18-Sep-2019 23:19:13	+                                    print("No phase data found in second solution.  Try increasing the solutionTimeThresholdSeconds above %.0f." % (solutionTimeThresholdSeconds))
build	18-Sep-2019 23:19:13	+                                    print("If this doesn't work, email the developer (%s)." % (developerEmail))
build	18-Sep-2019 23:19:13	+                                    return()
build	18-Sep-2019 23:19:13	+                                if (np.abs(myxrange/xrange2 - 1) > 0.05 + len(xflag)/len(xchannels)):  # 0.0666 is 2000/1875-1
build	18-Sep-2019 23:19:13	+                                   # These line widths are optimal for visualizing FDM over TDM
build	18-Sep-2019 23:19:13	+                                   width1 = 1
build	18-Sep-2019 23:19:13	+                                   width2 = 4
build	18-Sep-2019 23:19:13	+                                   # solutions differ in frequency width, so show the narrower one first
build	18-Sep-2019 23:19:13	+                                   if (myxrange < xrange2):
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                          if (debug): print("pb.plot 1")
build	18-Sep-2019 23:19:13	+                                          pb.plot(pfrequencies[p], gphs[p], '%s%s'%(pcolor[p],phasemarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                          newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                          if (debug): print("pb.plot 2")
build	18-Sep-2019 23:19:13	+                                          pb.plot(pfrequencies2[p], gphs2[p], '%s%s'%(p2color[p],phasemarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                          newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                   else:
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                           if (debug): print("pb.plot 3")
build	18-Sep-2019 23:19:13	+                                           pb.plot(pfrequencies2[p], gphs2[p], '%s%s'%(p2color[p],phasemarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                           newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                           if (debug): print("pb.plot 4")
build	18-Sep-2019 23:19:13	+                                           pb.plot(pfrequencies[p], gphs[p], '%s%s'%(pcolor[p],phasemarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                           newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                else:
build	18-Sep-2019 23:19:13	+                                   width1 = 1
build	18-Sep-2019 23:19:13	+                                   width2 = 1
build	18-Sep-2019 23:19:13	+                                   # solutions may be different level of smoothing, so plot highest rms first
build	18-Sep-2019 23:19:13	+                                   pb.hold(True)
build	18-Sep-2019 23:19:13	+                                   if (MAD(gphsx) < MAD(gphsx2)):
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                         if (debug): print("pb.plot 5")
build	18-Sep-2019 23:19:13	+                                         pb.plot(pfrequencies2[p], gphs2[p], '%s%s'%(p2color[p],phasemarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                         newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                         if (debug): print("pb.plot 6")
build	18-Sep-2019 23:19:13	+                                         pb.plot(pfrequencies[p], gphs[p], '%s%s'%(pcolor[p],phasemarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                         newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                   else:
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                         if (debug): print("pb.plot 7")
build	18-Sep-2019 23:19:13	+                                         pb.plot(pfrequencies[p], gphs[p], '%s%s'%(pcolor[p],phasemarkstyle), linewidth=width2, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                         newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                     for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                       if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                         if (debug): print("pb.plot 9")
build	18-Sep-2019 23:19:13	+                                         pb.plot(pfrequencies2[p], gphs2[p], '%s%s'%(p2color[p],phasemarkstyle), linewidth=width1, markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                         newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs2[p], sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                # must set new limits after plotting  'phase'
build	18-Sep-2019 23:19:13	+                                (y0,y1) = pb.ylim()
build	18-Sep-2019 23:19:13	+                                if (y1-y0 < minPhaseRange):
build	18-Sep-2019 23:19:13	+                                      # this must come before defining ticks 
build	18-Sep-2019 23:19:13	+                                      SetNewYLimits([-minPhaseRange,minPhaseRange])
build	18-Sep-2019 23:19:13	+                                if (zoom=='intersect'):
build	18-Sep-2019 23:19:13	+                                    if (myxrange < xrange2):
build	18-Sep-2019 23:19:13	+                                        SetNewXLimits([min(xfrequencies[0],xfrequencies[-1])-myxrange*0.1, max(xfrequencies[0],xfrequencies[-1])+myxrange*0.1],15)
build	18-Sep-2019 23:19:13	+                                        SetLimits(plotrange, chanrange, newylimits, channels, frequencies,
build	18-Sep-2019 23:19:13	+                                                  pfrequencies, ampMin, ampMax, xaxis,pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:13	+                                                  chanrangePercent)
build	18-Sep-2019 23:19:13	+                                    else:
build	18-Sep-2019 23:19:13	+                                        SetNewXLimits([min(xfrequencies2[0],xfrequencies2[-1])-xrange2*0.1, max(xfrequencies2[0],xfrequencies2[-1])+xrange2*0.1],16)
build	18-Sep-2019 23:19:13	+                                        SetLimits(plotrange, chanrange, newylimits, channels, frequencies2,
build	18-Sep-2019 23:19:13	+                                                  pfrequencies2, ampMin, ampMax, xaxis,pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:13	+                                                  chanrangePercent)
build	18-Sep-2019 23:19:13	+                                else:
build	18-Sep-2019 23:19:13	+                                    if (myxrange < xrange2):
build	18-Sep-2019 23:19:13	+                                        SetLimits(plotrange, chanrange, newylimits, channels, frequencies,
build	18-Sep-2019 23:19:13	+                                                  pfrequencies, ampMin, ampMax, xaxis,pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:13	+                                                  chanrangePercent)
build	18-Sep-2019 23:19:13	+                                    else:
build	18-Sep-2019 23:19:13	+                                        SetLimits(plotrange, chanrange, newylimits, channels, frequencies2,
build	18-Sep-2019 23:19:13	+                                                  pfrequencies2, ampMin, ampMax, xaxis,pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:13	+                                                  chanrangePercent)
build	18-Sep-2019 23:19:13	+                                # draw polarization and spw labels
build	18-Sep-2019 23:19:13	+                                if (xframe == firstFrame):
build	18-Sep-2019 23:19:13	+                                    # draw title including caltable name
build	18-Sep-2019 23:19:13	+                                    caltableList = 'c1 = ' + caltable + ',  c2 = ' + caltable2 # + ' (%s)'%(utstring(uniqueTimes2[mytime],3))
build	18-Sep-2019 23:19:13	+                                    pb.text(xstartTitle, ystartTitle, caltableList, size=titlesize,
build	18-Sep-2019 23:19:13	+                                            color='k', transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+                          elif (bpolyOverlay):
build	18-Sep-2019 23:19:13	+                                  matches1 = []
build	18-Sep-2019 23:19:13	+                                  for tbp in range(len(timesBP)):
build	18-Sep-2019 23:19:13	+                                      if (sloppyMatch(uniqueTimes[mytime], timesBP[tbp], solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:13	+                                            mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes,  # au version
build	18-Sep-2019 23:19:13	+#                                                      mytime, scansToPlot, scansForUniqueTimes, # task version
build	18-Sep-2019 23:19:13	+                                                      myprint=debugSloppyMatch)):
build	18-Sep-2019 23:19:13	+                                          matches1.append(tbp)
build	18-Sep-2019 23:19:13	+                                  matches1 = np.array(matches1)
build	18-Sep-2019 23:19:13	+# #     # #                        print("time matches: matches1 = ", matches1)
build	18-Sep-2019 23:19:13	+                                  if (len(matches1) < 1):
build	18-Sep-2019 23:19:13	+                                      print("No time match found")
build	18-Sep-2019 23:19:13	+                                      print("If you are sure the solutions correspond to the same data, you can set solutionTimeThresholdSeconds=%.0f" % (1+np.ceil(np.abs(timesBP[0]-uniqueTimes[mytime]))))
build	18-Sep-2019 23:19:13	+                                      return()
build	18-Sep-2019 23:19:13	+# #     # #                        matches1 = np.where(np.floor(uniqueTimes[mytime]) == np.floor(np.array(timesBP)))[0]
build	18-Sep-2019 23:19:13	+                                  matches2 = np.where(xant == np.array(antennasBP))[0]
build	18-Sep-2019 23:19:13	+                                  if (len(matches2) < 1):
build	18-Sep-2019 23:19:13	+                                      print("No antenna match found between %s and %s" % (str(xant), str(antennasBP)))
build	18-Sep-2019 23:19:13	+# #     # #                        print("antenna matches: matches2 = ", matches2)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                                  if (tableFormat == 33):
build	18-Sep-2019 23:19:13	+                                      matches3 = np.where(ispw == np.array(cal_desc_idBP))[0]
build	18-Sep-2019 23:19:13	+                                      if (len(matches3) < 1):
build	18-Sep-2019 23:19:13	+                                          print("No spw match found: %d not in %s" % (ispw, str(cal_desc_idBP)))
build	18-Sep-2019 23:19:13	+                                  else:
build	18-Sep-2019 23:19:13	+                                      matches3 = np.where(ispw == np.array(spwBP))[0]
build	18-Sep-2019 23:19:13	+                                      if (len(matches3) < 1):
build	18-Sep-2019 23:19:13	+                                          print("No spw match found: %d not in %s" % (ispw, str(spwBP)))
build	18-Sep-2019 23:19:13	+# #     # #                        print("spw matches: matches3 = ", matches3)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                                  matches12 = np.intersect1d(matches1,matches2)
build	18-Sep-2019 23:19:13	+                                  if (len(matches12) < 1):
build	18-Sep-2019 23:19:13	+                                      print("No match between: %s and %s" % (str(matches1), str(matches2)))
build	18-Sep-2019 23:19:13	+# #     # #                        print("antenna&time matches: matches12 = ", matches12)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                                  matches = np.intersect1d(matches12, matches3)
build	18-Sep-2019 23:19:13	+                                  if (len(matches) < 1):
build	18-Sep-2019 23:19:13	+                                      print("No match between: %s and %s" % (str(matches12), str(matches3)))
build	18-Sep-2019 23:19:13	+# #     # #                        print("antenna&time&spw matches: matches = ", matches)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                                  try:
build	18-Sep-2019 23:19:13	+                                      index = matches[0]  # holds the row number of the matching solution in the BPOLY table
build	18-Sep-2019 23:19:13	+                                  except:
build	18-Sep-2019 23:19:13	+                                      print("No match found for time=%.6f, xant=%d, ispw=%d"  % (uniqueTimes[mytime],xant,ispw))
build	18-Sep-2019 23:19:13	+                                      print("antennasBP = %s" % (str(antennasBP)))
build	18-Sep-2019 23:19:13	+                                      print("cal_desc_idBP = %s" % (str(cal_desc_idBP)))
build	18-Sep-2019 23:19:13	+                                      timesBPstring = "timesBP = "
build	18-Sep-2019 23:19:13	+                                      for i in timesBP:
build	18-Sep-2019 23:19:13	+                                          timesBPstring += "%.6f, " % i
build	18-Sep-2019 23:19:13	+                                      print(timesBPstring)
build	18-Sep-2019 23:19:13	+                                      return()
build	18-Sep-2019 23:19:13	+# #     # #                        print("phase: Using index = %d/%d (mytime=%d), domain=%.3f,%.3f" % (index,len(polynomialPhase),mytime,frequencyLimits[0,index]*1e-9,frequencyLimits[1,index]*1e-9))
build	18-Sep-2019 23:19:13	+                                  if (debug): print("BRowNumber = %d, BPolyRowNumber = %d"  % (BRowNumber, index))
build	18-Sep-2019 23:19:13	+                                  validDomain = [frequencyLimits[0,index], frequencyLimits[1,index]]
build	18-Sep-2019 23:19:13	+                                  cc = calcChebyshev(polynomialPhase[index][0:nPolyPhase[index]], validDomain, frequenciesGHz[index]*1e+9) * 180/math.pi
build	18-Sep-2019 23:19:13	+                                  fa = np.array(frequenciesGHz[index])
build	18-Sep-2019 23:19:13	+                                  if (xfrequencies[0] < xfrequencies[-1]):
build	18-Sep-2019 23:19:13	+                                      matches = np.where(fa>xfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+                                      matches2 = np.where(fa<xfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                  else:
build	18-Sep-2019 23:19:13	+                                      matches = np.where(fa>xfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                      matches2 = np.where(fa<xfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+# #     # #                        print("xfrequencies[0] = %f, xfrequencies[-1] = %f" % (xfrequencies[0], xfrequencies[-1]))
build	18-Sep-2019 23:19:13	+# #     # #                        print("len(matches)=%d, len(matches2)=%d" % (len(matches), len(matches2)))
build	18-Sep-2019 23:19:13	+# #     # #                        print("fa = ", fa)
build	18-Sep-2019 23:19:13	+                                  mymean = complexMeanDeg(np.array(cc)[matches[0]:matches2[-1]+1])
build	18-Sep-2019 23:19:13	+                                  phaseSolutionX = np.mean(gphsx) - mymean + cc
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                                  cc = calcChebyshev(polynomialPhase[index][nPolyPhase[index]:2*nPolyPhase[index]], validDomain, frequenciesGHz[index]*1e+9) * 180/math.pi
build	18-Sep-2019 23:19:13	+                                  if (nPolarizations > 1):
build	18-Sep-2019 23:19:13	+                                    if (yfrequencies[0] < yfrequencies[-1]):
build	18-Sep-2019 23:19:13	+                                      matches = np.where(fa>yfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+                                      matches2 = np.where(fa<yfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                    else:
build	18-Sep-2019 23:19:13	+                                      matches = np.where(fa>yfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                      matches2 = np.where(fa<yfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+                                    mymean = complexMeanDeg(np.array(cc)[matches[0]:matches2[-1]+1])
build	18-Sep-2019 23:19:13	+                                    phaseSolutionY = np.mean(gphsy) - mymean + cc
build	18-Sep-2019 23:19:13	+                                  if (bpolyOverlay2):
build	18-Sep-2019 23:19:13	+                                      validDomain = [frequencyLimits2[0,index], frequencyLimits2[1,index]]
build	18-Sep-2019 23:19:13	+                                      cc = calcChebyshev(polynomialPhase2[index][0:nPolyPhase2[index]], validDomain, frequenciesGHz2[index]*1e+9) * 180/math.pi
build	18-Sep-2019 23:19:13	+                                      fa = np.array(frequenciesGHz2[index])
build	18-Sep-2019 23:19:13	+                                      if (xfrequencies[0] < xfrequencies[-1]):
build	18-Sep-2019 23:19:13	+                                          matches = np.where(fa>xfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+                                          matches2 = np.where(fa<xfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                      else:
build	18-Sep-2019 23:19:13	+                                          matches = np.where(fa>xfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                          matches2 = np.where(fa<xfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+                                      mymean = complexMeanDeg(np.array(cc)[matches[0]:matches2[-1]+1])
build	18-Sep-2019 23:19:13	+                                      phaseSolution2X = np.mean(gphsx) + cc - mymean
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                                      cc = calcChebyshev(polynomialPhase2[index][nPolyPhase2[index]:2*nPolyPhase2[index]], validDomain, frequenciesGHz2[index]*1e+9) * 180/math.pi
build	18-Sep-2019 23:19:13	+                                      if (yfrequencies[0] < yfrequencies[-1]):
build	18-Sep-2019 23:19:13	+                                          matches = np.where(fa>yfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+                                          matches2 = np.where(fa<yfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                      else:
build	18-Sep-2019 23:19:13	+                                          matches = np.where(fa>yfrequencies[-1])[0]
build	18-Sep-2019 23:19:13	+                                          matches2 = np.where(fa<yfrequencies[0])[0]
build	18-Sep-2019 23:19:13	+                                      mymean = complexMeanDeg(np.array(cc)[matches[0]:matches2[-1]+1])
build	18-Sep-2019 23:19:13	+                                      phaseSolution2Y = np.mean(gphsy) + cc - mymean
build	18-Sep-2019 23:19:13	+                                      pb.hold(True)
build	18-Sep-2019 23:19:13	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                          if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                              pb.plot(pfrequencies[p], gphs[p],'%s%s' % (pcolor[p],phasemarkstyle), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                              newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                      if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                          pb.plot(frequenciesGHz[index],phaseSolutionX,'%s%s'%(x2color,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                          newylimits = recalcYlimitsFreq(chanrange, newylimits, phaseSolutionX, sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                          pb.plot(frequenciesGHz2[index],phaseSolution2X,'%s%s'%(x3color,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                          newylimits = recalcYlimitsFreq(chanrange, newylimits, phaseSolution2X, sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                      if (nPolarizations == 2):
build	18-Sep-2019 23:19:13	+                                         if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                            pb.plot(frequenciesGHz[index],phaseSolutionY,'%s%s'%(y2color,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                            newylimits = recalcYlimitsFreq(chanrange, newylimits, phaseSolutionY, sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                            pb.plot(frequenciesGHz2[index],phaseSolution2Y,'%s%s'%(y3color,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                            newylimits = recalcYlimitsFreq(chanrange, newylimits, phaseSolution2Y, sideband,plotrange,xchannels2,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                  else:
build	18-Sep-2019 23:19:13	+                                      pb.hold(True)
build	18-Sep-2019 23:19:13	+                                      for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                          if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                              pb.plot(pfrequencies[p], gphs[p],'%s%s'%(pcolor[p],phasemarkstyle), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                              newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                      if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                         pb.plot(frequenciesGHz[index],phaseSolutionX,'%s%s'%(x2color,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                         newylimits = recalcYlimitsFreq(chanrange, newylimits, phaseSolutionX, sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                      if (nPolarizations == 2):
build	18-Sep-2019 23:19:13	+                                         if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                            pb.plot(frequenciesGHz[index],phaseSolutionY,'%s%s'%(y2color,bpolymarkstyle),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                            newylimits = recalcYlimitsFreq(chanrange, newylimits, phaseSolutionY, sideband,plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                  # endif (bpolyOverlay2)
build	18-Sep-2019 23:19:13	+                                  # Adding the following 4 lines on March 14, 2013
build	18-Sep-2019 23:19:13	+                                  (y0,y1) = pb.ylim()
build	18-Sep-2019 23:19:13	+                                  if (y1-y0 < minPhaseRange):
build	18-Sep-2019 23:19:13	+                                      # this must come before defining ticks 
build	18-Sep-2019 23:19:13	+                                      SetNewYLimits([-minPhaseRange,minPhaseRange])
build	18-Sep-2019 23:19:13	+                          else:
build	18-Sep-2019 23:19:13	+                              # we are not overlaying any B or polynomial solutions   'phase vs. freq'
build	18-Sep-2019 23:19:13	+                              pb.hold(True)
build	18-Sep-2019 23:19:13	+                              for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                  if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                      if (overlayAntennas or overlayTimes):
build	18-Sep-2019 23:19:13	+                                        pdesc = pb.plot(pfrequencies[p], gphs[p],'%s'%(phasemarkstyles[p]), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband,plotrange,xchannels,chanrangePercent=chanrangePercent) # Apr 2, 2012
build	18-Sep-2019 23:19:13	+                                        if (overlayAntennas and overlayTimes==False):
build	18-Sep-2019 23:19:13	+                                            pb.setp(pdesc, color=overlayColors[xctr])
build	18-Sep-2019 23:19:13	+                                        elif (overlayTimes and overlayAntennas==False):
build	18-Sep-2019 23:19:13	+                                            pb.setp(pdesc, color=overlayColors[mytime])
build	18-Sep-2019 23:19:13	+                                        elif (overlayTimes): # try to support antenna,time
build	18-Sep-2019 23:19:13	+                                            if (myUniqueTime != []):
build	18-Sep-2019 23:19:13	+                                                pb.setp(pdesc, color=overlayColors[myUniqueTime])
build	18-Sep-2019 23:19:13	+                                                # The third 'or' below is needed if pol='0' is flagged on antenna 0. -- 2012/10/12 (original spot)
build	18-Sep-2019 23:19:13	+                                                if (p==0 or len(polsToPlot)==1 or myUniqueColor==[]):
build	18-Sep-2019 23:19:13	+                                                    myUniqueColor.append(overlayColors[len(myUniqueColor)])
build	18-Sep-2019 23:19:13	+                                                pb.setp(pdesc, color=myUniqueColor[-1])
build	18-Sep-2019 23:19:13	+                                      else:
build	18-Sep-2019 23:19:13	+                                        pb.plot(pfrequencies[p], gphs[p],'%s%s'%(pcolor[p],phasemarkstyles[0]), markersize=markersize,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                                        newylimits = recalcYlimitsFreq(chanrange, newylimits, gphs[p], sideband, plotrange,xchannels,chanrangePercent=chanrangePercent)
build	18-Sep-2019 23:19:13	+                                  if (sum(xflag)>0):
build	18-Sep-2019 23:19:13	+# #     # #                            print("phase frame %d: Resetting xaxis frequency range to counteract flagged data" % (xframe))
build	18-Sep-2019 23:19:13	+                                      myxrange = np.max(frequencies)-np.min(frequencies)
build	18-Sep-2019 23:19:13	+                                      SetNewXLimits([np.min(frequencies)-0.15*myxrange, np.max(frequencies)+0.15*myxrange],17)
build	18-Sep-2019 23:19:13	+                                  if (len(gphs[p]) > 0):
build	18-Sep-2019 23:19:13	+                                      if (np.max(gphs[p]) < minPhaseRange and np.min(gphs[p]) > -minPhaseRange):
build	18-Sep-2019 23:19:13	+                                          SetNewYLimits([-minPhaseRange,minPhaseRange])
build	18-Sep-2019 23:19:13	+                          #endif bOverlay
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                          if (1==1):
build	18-Sep-2019 23:19:13	+                              pb.xlabel(xlabelString, size=mysize)
build	18-Sep-2019 23:19:13	+                      #endif xaxis='chan'/freq  for 'phase'
build	18-Sep-2019 23:19:13	+                      if (overlayTimes):
build	18-Sep-2019 23:19:13	+                          timeString =''
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                          timeString = ',  t%d/%d  %s' % (mytime,nUniqueTimes-1,utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:13	+                          if (scansForUniqueTimes != []):
build	18-Sep-2019 23:19:13	+                              if (scansForUniqueTimes[mytime]>=0):
build	18-Sep-2019 23:19:13	+                                  timeString = ',  scan%d  %s' % (scansForUniqueTimes[mytime],utstring(uniqueTimes[mytime],3))
build	18-Sep-2019 23:19:13	+                      spwString = buildSpwString(overlaySpws, overlayBasebands,
build	18-Sep-2019 23:19:13	+                                                 spwsToPlot, ispw, originalSpw[ispw],
build	18-Sep-2019 23:19:13	+                                                 observatoryName, baseband, 
build	18-Sep-2019 23:19:13	+                                                 showBasebandNumber)
build	18-Sep-2019 23:19:13	+                      titleString = "%sspw%s,  field %d: %s%s" % (antennaString,
build	18-Sep-2019 23:19:13	+                                                                  spwString,uniqueFields[fieldIndex],fieldString,timeString)
build	18-Sep-2019 23:19:13	+                      pb.title(titleString,size=titlesize-int(len(titleString)/(maxCharsBeforeReducingTitleFontSize/subplotCols)))
build	18-Sep-2019 23:19:13	+                      if (abs(plotrange[0]) > 0 or abs(plotrange[1]) > 0):
build	18-Sep-2019 23:19:13	+                          SetNewXLimits([plotrange[0],plotrange[1]],18)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      # Here is 1st place where we eliminate any white space on the right and left edge of the plots: 'phase'
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                          if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:13	+                              SetNewXLimits([channels[0],channels[-1]])
build	18-Sep-2019 23:19:13	+                          else:
build	18-Sep-2019 23:19:13	+                              if (zoom != 'intersect'):
build	18-Sep-2019 23:19:13	+                                  if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:13	+                                      SetNewXLimits(frequencyRangeToPlotInBaseband[bbctr])
build	18-Sep-2019 23:19:13	+                                  else:
build	18-Sep-2019 23:19:13	+                                      SetNewXLimits([frequencies[0], frequencies[-1]])
build	18-Sep-2019 23:19:13	+                              if (bOverlay):
build	18-Sep-2019 23:19:13	+                                  if (xrange2 > myxrange+0.1 and zoom != 'intersect'):
build	18-Sep-2019 23:19:13	+                                      TDMisSecond = True
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      if (abs(plotrange[2]) > 0 or abs(plotrange[3]) > 0):
build	18-Sep-2019 23:19:13	+                          if (amplitudeWithPhase == False or phase == ''):
build	18-Sep-2019 23:19:13	+                              SetNewYLimits([plotrange[2],plotrange[3]])
build	18-Sep-2019 23:19:13	+                      if (amplitudeWithPhase and phase != ''):
build	18-Sep-2019 23:19:13	+                          if (phase[0] != 0 or phase[1] != 0):
build	18-Sep-2019 23:19:13	+                              SetNewYLimits(phase)
build	18-Sep-2019 23:19:13	+                          
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      (y0,y1) = pb.ylim()
build	18-Sep-2019 23:19:13	+                      if (y1-y0 < minPhaseRange):
build	18-Sep-2019 23:19:13	+                            # this must come before defining ticks
build	18-Sep-2019 23:19:13	+                            SetNewYLimits([-minPhaseRange,minPhaseRange])
build	18-Sep-2019 23:19:13	+                            SetNewYLimits(newylimits)  # added 10/2/2012 for the case of only 1 data point
build	18-Sep-2019 23:19:13	+                      if (amplitudeWithPhase and phase != ''):
build	18-Sep-2019 23:19:13	+                          if (phase[0] != 0 or phase[1] != 0):
build	18-Sep-2019 23:19:13	+                              SetNewYLimits(phase)
build	18-Sep-2019 23:19:13	+                      (y0,y1) = pb.ylim()
build	18-Sep-2019 23:19:13	+                      ResizeFonts(adesc,mysize)
build	18-Sep-2019 23:19:13	+                      adesc.xaxis.grid(True,which='major')
build	18-Sep-2019 23:19:13	+                      adesc.yaxis.grid(True,which='major')
build	18-Sep-2019 23:19:13	+                      pb.ylabel(yPhaseLabel, size=mysize)
build	18-Sep-2019 23:19:13	+                      pb.subplots_adjust(hspace=myhspace, wspace=mywspace)
build	18-Sep-2019 23:19:13	+                      ylim = pb.ylim()
build	18-Sep-2019 23:19:13	+                      xlim = pb.xlim()
build	18-Sep-2019 23:19:13	+                      myxrange = xlim[1]-xlim[0]
build	18-Sep-2019 23:19:13	+                      yrange = ylim[1]-ylim[0]
build	18-Sep-2019 23:19:13	+# #     # #            print("phase: ylim, yrange = ",  ylim, yrange)
build	18-Sep-2019 23:19:13	+                      myap = 0
build	18-Sep-2019 23:19:13	+                      if (overlayAntennas == False and overlayTimes == False and bOverlay == False and
build	18-Sep-2019 23:19:13	+                          ((overlaySpws == False and overlayBasebands == False) or spwctr==spwctrFirstToPlot)):
build	18-Sep-2019 23:19:13	+                          # draw polarization labels
build	18-Sep-2019 23:19:13	+                          x0 = xstartPolLabel
build	18-Sep-2019 23:19:13	+                          y0 = ystartPolLabel
build	18-Sep-2019 23:19:13	+                          for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                    pb.text(x0, y0-0.03*subplotRows*p, corrTypeToString(corr_type[p]), color=pcolor[p],
build	18-Sep-2019 23:19:13	+                                            size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                    if (channeldiff > 0):
build	18-Sep-2019 23:19:13	+                                        pb.text(x0, ystartMadLabel-0.03*subplotRows*p,
build	18-Sep-2019 23:19:13	+                                                corrTypeToString(corr_type[p])+' MAD = %.4f, St.Dev = %.4f'%(gphs_mad[p]['mad'],gphs_std[p]['std']),
build	18-Sep-2019 23:19:13	+                                                color=pcolor[p],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                          if (xframe == firstFrame):
build	18-Sep-2019 23:19:13	+                                # draw title including caltable name
build	18-Sep-2019 23:19:13	+                                caltableList = caltableTitle
build	18-Sep-2019 23:19:13	+                                if (bpolyOverlay):
build	18-Sep-2019 23:19:13	+                                      caltableList += ', ' + caltable2 + ' (degamp=%d, degphase=%d)'%(nPolyAmp[index]-1,nPolyPhase[index]-1)
build	18-Sep-2019 23:19:13	+                                      if (bpolyOverlay2):
build	18-Sep-2019 23:19:13	+                                            caltableList += ', ' + caltable3 + ' (degamp=%d, degphase=%d)'%(nPolyAmp2[index]-1,nPolyPhase2[index]-1)
build	18-Sep-2019 23:19:13	+                                pb.text(xstartTitle, ystartTitle, caltableList, size=titlesize,
build	18-Sep-2019 23:19:13	+                                        color='k', transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+                      elif (overlayAntennas==True and xant==antennasToPlot[-1] and bOverlay==False  # ):
build	18-Sep-2019 23:19:13	+                            and overlayTimes==False):  # try to support antenna,time   avoid antenna labels 'phase'
build	18-Sep-2019 23:19:13	+                          # We do this last, because by then, the limits will be stable.
build	18-Sep-2019 23:19:13	+                          x0 = xstartPolLabel
build	18-Sep-2019 23:19:13	+                          y0 = ystartPolLabel
build	18-Sep-2019 23:19:13	+                          if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                              if (channeldiff > 0):
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, ystartMadLabel-0.03*subplotRows*p,
build	18-Sep-2019 23:19:13	+                                          corrTypeToString(corr_type[p])+' MAD = %.4f, St.Dev = %.4f'%(gphs_mad[p]['mad'],gphs_std[p]['std']),
build	18-Sep-2019 23:19:13	+                                          color=overlayColors[0], size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                              if (phasemarkstyle.find('-')>=0):
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, y0-0.03*subplotRows*0, corrTypeToString(corr_type[0])+' solid', color=overlayColors[0],
build	18-Sep-2019 23:19:13	+                                          fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                              else:
build	18-Sep-2019 23:19:13	+                                  pb.text(x0+0.02, y0-0.03*subplotRows*0, corrTypeToString(corr_type[0]), color=overlayColors[0],
build	18-Sep-2019 23:19:13	+                                          fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                  pdesc = pb.plot([x0], [y0+0.015-0*0.03*subplotRows], '%sk'%phasemarkstyle, markersize=markersize,
build	18-Sep-2019 23:19:13	+                                                  scalex=False,scaley=False, transform=pb.gca().transAxes,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                          if (len(corr_type) > 1):
build	18-Sep-2019 23:19:13	+                            if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                              if (channeldiff > 0):
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, ystartMadLabel-0.03*subplotRows*p,
build	18-Sep-2019 23:19:13	+                                          corrTypeToString(corr_type[p])+' MAD = %.4f, St.Dev = %.4f'%(gphs_mad[p]['mad'],gphs_std[p]['std']),
build	18-Sep-2019 23:19:13	+                                          color=overlayColors[0], size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                              if (phasemarkstyle2.find('--')>=0):
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, y0-0.03*subplotRows*1, corrTypeToString(corr_type[1])+' dashed', color=overlayColors[0],
build	18-Sep-2019 23:19:13	+                                          fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                              else:
build	18-Sep-2019 23:19:13	+                                  pb.text(x0+0.02, y0-0.03*subplotRows*1, corrTypeToString(corr_type[1]), color=overlayColors[0],
build	18-Sep-2019 23:19:13	+                                          fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                  pdesc = pb.plot([x0], [y0+0.015*subplotRows-0.03*subplotRows*1],'%sk'%phasemarkstyle2, markersize=markersize,
build	18-Sep-2019 23:19:13	+                                                  scalex=False,scaley=False, transform=pb.gca().transAxes,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                          if (xframe == firstFrame):
build	18-Sep-2019 23:19:13	+                              # draw title including caltable name
build	18-Sep-2019 23:19:13	+                              pb.text(xstartTitle, ystartTitle, caltableTitle, size=titlesize, color='k',
build	18-Sep-2019 23:19:13	+                                      transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+                              DrawAntennaNames(msAnt, antennasToPlot, msFound, mysize)
build	18-Sep-2019 23:19:13	+                      elif (overlayTimes==True and bOverlay == False 
build	18-Sep-2019 23:19:13	+                            and overlayAntennas==False):  # try to support antenna,time
build	18-Sep-2019 23:19:13	+                          doneOverlayTime = True # assumed until proven otherwise in the 'for' loop
build	18-Sep-2019 23:19:13	+                          for f in fieldIndicesToPlot:
build	18-Sep-2019 23:19:13	+                              if (uniqueTimes[mytime] < uniqueTimesPerFieldPerSpw[ispwInCalTable][f][-1]-solutionTimeThresholdSeconds and
build	18-Sep-2019 23:19:13	+                                  uniqueTimes[mytime] < timerangeListTimes[-1]):
build	18-Sep-2019 23:19:13	+                                  doneOverlayTime = False
build	18-Sep-2019 23:19:13	+                          if (doneOverlayTime):
build	18-Sep-2019 23:19:13	+                              # either it is the last time of any times in solution, or the last time in the list of times to plot
build	18-Sep-2019 23:19:13	+                              mytime = nUniqueTimes-1
build	18-Sep-2019 23:19:13	+                              # We do this last, because by then, the limits will be broad enough and stable.
build	18-Sep-2019 23:19:13	+                              x0 = xstartPolLabel
build	18-Sep-2019 23:19:13	+                              y0 = ystartPolLabel
build	18-Sep-2019 23:19:13	+                              if (corrTypeToString(corr_type[0]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                if (channeldiff > 0):
build	18-Sep-2019 23:19:13	+                                    p = 0
build	18-Sep-2019 23:19:13	+                                    pb.text(x0, ystartMadLabel-0.03*subplotRows*p,
build	18-Sep-2019 23:19:13	+                                            corrTypeToString(corr_type[p])+' MAD = %.4f'%(gphs_mad[p]['mad']),
build	18-Sep-2019 23:19:13	+                                            color='k', size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                if (phasemarkstyle.find('-')>=0):
build	18-Sep-2019 23:19:13	+                                    pb.text(x0, y0, corrTypeToString(corr_type[0])+' solid', color='k',
build	18-Sep-2019 23:19:13	+                                            fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                else:
build	18-Sep-2019 23:19:13	+                                    pb.text(x0+0.02, y0, corrTypeToString(corr_type[0]), color='k',
build	18-Sep-2019 23:19:13	+                                            fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                    pdesc = pb.plot([x0], [y0+0.015*subplotRows], '%sk'%phasemarkstyle, markersize=markersize,
build	18-Sep-2019 23:19:13	+                                                    scalex=False,scaley=False, transform=pb.gca().transAxes,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                              if (len(corr_type) > 1):
build	18-Sep-2019 23:19:13	+                                if (corrTypeToString(corr_type[1]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                  if (channeldiff > 0):
build	18-Sep-2019 23:19:13	+                                      p = 1
build	18-Sep-2019 23:19:13	+                                      pb.text(x0, ystartMadLabel-0.03*subplotRows*p,
build	18-Sep-2019 23:19:13	+                                              corrTypeToString(corr_type[p])+' MAD = %.4f'%(gphs_mad[p]['mad']),
build	18-Sep-2019 23:19:13	+                                              color='k', size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                  if (phasemarkstyle2.find('--')>=0):
build	18-Sep-2019 23:19:13	+                                      pb.text(x0, y0-0.03*subplotRows, corrTypeToString(corr_type[1])+' dashed',
build	18-Sep-2019 23:19:13	+                                              color='k',fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                  else:
build	18-Sep-2019 23:19:13	+                                      pb.text(x0+0.02, y0-0.03*subplotRows, corrTypeToString(corr_type[1]),
build	18-Sep-2019 23:19:13	+                                              color='k', fontsize=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                      pdesc = pb.plot([x0], [y0+0.015*subplotRows-0.03*subplotRows], '%sk'%phasemarkstyle2,
build	18-Sep-2019 23:19:13	+                                                      markersize=markersize, scalex=False,scaley=False, transform=pb.gca().transAxes,markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                              if (xframe == firstFrame):
build	18-Sep-2019 23:19:13	+                                  # draw title including caltable name
build	18-Sep-2019 23:19:13	+                                  pb.text(xstartTitle, ystartTitle, caltableTitle, size=titlesize, color='k',
build	18-Sep-2019 23:19:13	+                                          transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+                                  if (debug): print("drawOverlayTimeLegends loc 4")
build	18-Sep-2019 23:19:13	+                                  drawOverlayTimeLegends(xframe,firstFrame,xstartTitle,ystartTitle,
build	18-Sep-2019 23:19:13	+                                                         caltable,titlesize,fieldIndicesToPlot,
build	18-Sep-2019 23:19:13	+                                                         ispwInCalTable,uniqueTimesPerFieldPerSpw,
build	18-Sep-2019 23:19:13	+                                                         timerangeListTimes, solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:13	+                                                         debugSloppyMatch,ystartOverlayLegend,debug,mysize,
build	18-Sep-2019 23:19:13	+                                                         fieldsToPlot,myUniqueColor,timeHorizontalSpacing,
build	18-Sep-2019 23:19:13	+                                                         fieldIndex,overlayColors, antennaVerticalSpacing,
build	18-Sep-2019 23:19:13	+                                                         overlayAntennas, timerangeList, caltableTitle,
build	18-Sep-2019 23:19:13	+                                                         mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes)
build	18-Sep-2019 23:19:13	+#                                                         mytime, scansToPlot, scansForUniqueTimes) # task version
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+                      elif (overlayAntennas and overlayTimes):  # Oct 23, 2012
build	18-Sep-2019 23:19:13	+                          # This will only happen for: try to support overlay='antenna,time'
build	18-Sep-2019 23:19:13	+                          if (xframe == firstFrame and mytime==0 and xctr==firstUnflaggedAntennaToPlot and bOverlay==False):
build	18-Sep-2019 23:19:13	+                              # draw title including caltable name
build	18-Sep-2019 23:19:13	+                              pb.text(xstartTitle, ystartTitle, caltableTitle, size=titlesize, color='k',
build	18-Sep-2019 23:19:13	+                                      transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+                              DrawBottomLegendPageCoords(msName, uniqueTimes[mytime], mysize, figfile)
build	18-Sep-2019 23:19:13	+                          
build	18-Sep-2019 23:19:13	+                      #endif (overlayAntennas == False and overlayTimes == False and bOverlay == False)
build	18-Sep-2019 23:19:13	+                      
build	18-Sep-2019 23:19:13	+                      # Here is 2nd place where we eliminate any white space on the right and left edge of the plots: 'phase'
build	18-Sep-2019 23:19:13	+                      if (abs(plotrange[2]) > 0 or abs(plotrange[3]) > 0):
build	18-Sep-2019 23:19:13	+                          if (amplitudeWithPhase == False or phase == ''):
build	18-Sep-2019 23:19:13	+                              SetNewYLimits([plotrange[2],plotrange[3]])
build	18-Sep-2019 23:19:13	+                      if (phase != '' and amplitudeWithPhase):
build	18-Sep-2019 23:19:13	+                          if (phase[0] != 0 or phase[1] != 0):
build	18-Sep-2019 23:19:13	+                              SetNewYLimits(phase)
build	18-Sep-2019 23:19:13	+                      if (plotrange[0]==0 and plotrange[1]==0):
build	18-Sep-2019 23:19:13	+                          if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:13	+                              SetNewXLimits([channels[0],channels[-1]])
build	18-Sep-2019 23:19:13	+                          else:
build	18-Sep-2019 23:19:13	+                              if (zoom != 'intersect'):
build	18-Sep-2019 23:19:13	+                                  if (overlaySpws or overlayBasebands):
build	18-Sep-2019 23:19:13	+                                      SetNewXLimits(frequencyRangeToPlotInBaseband[bbctr])
build	18-Sep-2019 23:19:13	+                                  else:
build	18-Sep-2019 23:19:13	+                                      SetNewXLimits([frequencies[0], frequencies[-1]])
build	18-Sep-2019 23:19:13	+                              if (bOverlay):
build	18-Sep-2019 23:19:13	+                                  if (xrange2 >= myxrange and zoom != 'intersect'):
build	18-Sep-2019 23:19:13	+                                      # This is necessary if caltable2=TDM and caltable=FDM
build	18-Sep-2019 23:19:13	+                                      SetNewXLimits([frequencies2[0], frequencies2[-1]])
build	18-Sep-2019 23:19:13	+                                  if (xrange2 > myxrange+0.1 and zoom != 'intersect'):
build	18-Sep-2019 23:19:13	+                                      TDMisSecond = True
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                          SetNewXLimits([plotrange[0], plotrange[1]])
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      # I need the following line for chanrange to work
build	18-Sep-2019 23:19:13	+                      if (chanrange[0] != 0 or chanrange[1] != 0):
build	18-Sep-2019 23:19:13	+                          SetLimits(plotrange, chanrange, newylimits, channels, frequencies, pfrequencies,
build	18-Sep-2019 23:19:13	+                                    ampMin, ampMax, xaxis,pxl, chanrangeSetXrange,
build	18-Sep-2019 23:19:13	+                                    chanrangePercent)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      # Finally, draw the atmosphere and FDM windows, if requested.  'phase'
build	18-Sep-2019 23:19:13	+                      if ((overlayAntennas==False and overlayTimes==False) or
build	18-Sep-2019 23:19:13	+                          (overlayAntennas==True and overlayTimes==False and xant==antennasToPlot[-1]) or
build	18-Sep-2019 23:19:13	+                          (overlayTimes==True and overlayAntennas==False and doneOverlayTime) or
build	18-Sep-2019 23:19:13	+                          (xant==antennasToPlot[-1] and doneOverlayTime)
build	18-Sep-2019 23:19:13	+                          ):
build	18-Sep-2019 23:19:13	+                          if ((showatm or showtsky) and len(atmString)>0):
build	18-Sep-2019 23:19:13	+                              DrawAtmosphere(showatm, showtsky, subplotRows, atmString,
build	18-Sep-2019 23:19:13	+                                             mysize, TebbSky, plotrange, xaxis, atmchan,
build	18-Sep-2019 23:19:13	+                                             atmfreq, transmission, subplotCols,
build	18-Sep-2019 23:19:13	+                                             showatmPoints=showatmPoints, xframe=xframe, 
build	18-Sep-2019 23:19:13	+                                             channels=channels, mylineno=lineNumber(),
build	18-Sep-2019 23:19:13	+                                             overlaySpws=overlaySpws, 
build	18-Sep-2019 23:19:13	+                                             overlayBasebands=overlayBasebands,
build	18-Sep-2019 23:19:13	+                                             drewAtmosphere=drewAtmosphere)
build	18-Sep-2019 23:19:13	+                              if (LO1 != '' and LO1 is not None):
build	18-Sep-2019 23:19:13	+                                  DrawAtmosphere(showatm,showtsky, subplotRows, atmString,
build	18-Sep-2019 23:19:13	+                                                 mysize, TebbSky, plotrange, xaxis, atmchanImage,
build	18-Sep-2019 23:19:13	+                                                 atmfreqImage, transmissionImage, subplotCols,
build	18-Sep-2019 23:19:13	+                                                 LO1, xframe, firstFrame, showatmPoints, 
build	18-Sep-2019 23:19:13	+                                                 channels=channels, mylineno=lineNumber(),
build	18-Sep-2019 23:19:13	+                                                 overlaySpws=overlaySpws, 
build	18-Sep-2019 23:19:13	+                                                 overlayBasebands=overlayBasebands,
build	18-Sep-2019 23:19:13	+                                                 drewAtmosphere=drewAtmosphere)
build	18-Sep-2019 23:19:13	+                              drewAtmosphere = True
build	18-Sep-2019 23:19:13	+                      
build	18-Sep-2019 23:19:13	+                          if (xaxis.find('freq')>=0 and showfdm and nChannels <= 256):
build	18-Sep-2019 23:19:13	+                              if (tableFormat == 33):
build	18-Sep-2019 23:19:13	+                                  showFDM(originalSpw_casa33, chanFreqGHz_casa33, baseband, showBasebandNumber, basebandDict)
build	18-Sep-2019 23:19:13	+                              else:
build	18-Sep-2019 23:19:13	+                                  showFDM(originalSpw, chanFreqGHz, baseband, showBasebandNumber, basebandDict)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      if (bOverlay):
build	18-Sep-2019 23:19:13	+                          # draw polarization labels
build	18-Sep-2019 23:19:13	+                          x0 = xstartPolLabel
build	18-Sep-2019 23:19:13	+                          y0 = ystartPolLabel
build	18-Sep-2019 23:19:13	+                          for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                              if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, y0-p*0.03*subplotRows, corrTypeToString(corr_type[p])+'-c1',
build	18-Sep-2019 23:19:13	+                                          color=pcolor[p],size=mysize,transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                                  pb.text(x0, y0-(p*0.03+0.06)*subplotRows, corrTypeToString(corr_type[p])+'-c2',
build	18-Sep-2019 23:19:13	+                                          color=p2color[p],size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                      if (bpolyOverlay and xaxis.find('freq')>=0):
build	18-Sep-2019 23:19:13	+                          x0 = xstartPolLabel
build	18-Sep-2019 23:19:13	+                          y0 = ystartPolLabel
build	18-Sep-2019 23:19:13	+                          if (xcolor != x2color):
build	18-Sep-2019 23:19:13	+                              for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                  if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                      pb.text(x0+0.1, y0-p*0.03*subplotRows, corrTypeToString(corr_type[p]), color=p2color[p],
build	18-Sep-2019 23:19:13	+                                              size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                          if (bpolyOverlay2):
build	18-Sep-2019 23:19:13	+                              for p in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                                    if (corrTypeToString(corr_type[p]) in polsToPlot):
build	18-Sep-2019 23:19:13	+                                          pb.text(x0+0.2, y0-p*0.03*subplotRows, corrTypeToString(corr_type[p]), color=p3color[p],
build	18-Sep-2019 23:19:13	+                                                  size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                  # endif (yaxis='phase')
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                  redisplay = False
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                  if (xframe == lastFrame):
build	18-Sep-2019 23:19:13	+                    if (debug):
build	18-Sep-2019 23:19:13	+                        print("*** mytime+1=%d,  nUniqueTimes=%d, timerangeList[-1]=%d, doneOverlayTime=%s" % (mytime+1, nUniqueTimes,timerangeList[-1],doneOverlayTime))
build	18-Sep-2019 23:19:13	+                        print("*** xant=%d, antennasToPlot[-1]=%d, overlayAntennas=%s, overlayTimes=%s" % (xant,antennasToPlot[-1],overlayAntennas,overlayTimes))
build	18-Sep-2019 23:19:13	+                        print("*** xframe=%d, lastFrame=%d, xctr=%d, spwctr=%d, len(antennasToPlot)=%d, len(spwsToPlot)=%d" % (xframe,lastFrame,xctr,spwctr,len(antennasToPlot), len(spwsToPlot)))
build	18-Sep-2019 23:19:13	+                    myIndexTime = uniqueTimesPerFieldPerSpw[ispwInCalTable][fieldIndex][-1]
build	18-Sep-2019 23:19:13	+                    if (debug):
build	18-Sep-2019 23:19:13	+                        print("myIndexTime = ", myIndexTime)
build	18-Sep-2019 23:19:13	+                    matched,mymatch = sloppyMatch(myIndexTime,uniqueTimes,solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:13	+                                                  mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes, # au version
build	18-Sep-2019 23:19:13	+#                                                  mytime, scansToPlot, scansForUniqueTimes,  # task version
build	18-Sep-2019 23:19:13	+                                                  whichone=True, myprint=False)
build	18-Sep-2019 23:19:13	+                    if (matched==False and scansForUniqueTimes[mytime] in scansToPlotPerSpw[ispw]):
build	18-Sep-2019 23:19:13	+                        print("---------- 2) Did not find %f within %.1f seconds of anything in %s" % (myIndexTime,solutionTimeThresholdSeconds,str(uniqueTimes)))
build	18-Sep-2019 23:19:13	+                        print("Try re-running with a smaller solutionTimeThresholdSeconds (currently %f)" % (solutionTimeThresholdSeconds))
build	18-Sep-2019 23:19:13	+                        return
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        # we are on the final time to be plotted
build	18-Sep-2019 23:19:13	+                        if (debug): print("on the final time")
build	18-Sep-2019 23:19:13	+                        mytimeTest = mytime==nUniqueTimes-1 
build	18-Sep-2019 23:19:13	+                    if (debug):
build	18-Sep-2019 23:19:13	+                        print("mytimeTest = %s" % (mytimeTest))
build	18-Sep-2019 23:19:13	+                    if (scansForUniqueTimes == []):
build	18-Sep-2019 23:19:13	+                        # old 3.3 cal tables will land here
build	18-Sep-2019 23:19:13	+                        scanTest = False
build	18-Sep-2019 23:19:13	+                        scanTest2 = False
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        if (debug):
build	18-Sep-2019 23:19:13	+                            print("ispw=%d len(scansToPlotPerSpw[ispw])=%d   mytime=%d, len(scansForUniqueTimes)=%d" % (ispw,len(scansToPlotPerSpw[ispw]),mytime,len(scansForUniqueTimes)))
build	18-Sep-2019 23:19:13	+                            print("scansToPlotPerSpw = ", scansToPlotPerSpw)
build	18-Sep-2019 23:19:13	+                        if (len(scansToPlotPerSpw[ispw]) == 0):
build	18-Sep-2019 23:19:13	+                            scanTest = False
build	18-Sep-2019 23:19:13	+                        else:
build	18-Sep-2019 23:19:13	+                            scanTest = scansToPlotPerSpw[ispw][-1]==scansForUniqueTimes[mytime] 
build	18-Sep-2019 23:19:13	+                        highestSpwIndexInSpwsToPlotThatHasCurrentScan = \
build	18-Sep-2019 23:19:13	+                            computeHighestSpwIndexInSpwsToPlotThatHasCurrentScan(spwsToPlot, scansToPlotPerSpw, scansForUniqueTimes[mytime])
build	18-Sep-2019 23:19:13	+                        if (highestSpwIndexInSpwsToPlotThatHasCurrentScan == -1):
build	18-Sep-2019 23:19:13	+                            scanTest2 = False
build	18-Sep-2019 23:19:13	+                        else:
build	18-Sep-2019 23:19:13	+                            scanTest2 = (spwctr == highestSpwIndexInSpwsToPlotThatHasCurrentScan)
build	18-Sep-2019 23:19:13	+                    if ((overlayAntennas==False and overlayTimes==False and overlaySpws==False and overlayBasebands==False)
build	18-Sep-2019 23:19:13	+                        # either it is the last time of any, or the last time in the list of times to plot
build	18-Sep-2019 23:19:13	+                        or (overlayAntennas==False and overlaySpws==False and overlayBasebands==False and (mytime+1==nUniqueTimes or mytime == timerangeList[-1])) # or mytimeTest)) # removed on July 25,2013
build	18-Sep-2019 23:19:13	+                        or (xant==antennasToPlot[-1] and overlayAntennas==True and overlayTimes==False and overlaySpws==False and overlayBasebands==False)
build	18-Sep-2019 23:19:13	+                        # The following case is needed to prevent frame=225 in test86 (spectral scan dataset with overlay='spw') 
build	18-Sep-2019 23:19:13	+                        #   and the lack of showing of 7 of 8 of the spws in final frame of test61.  scanTest2 matches both cases.
build	18-Sep-2019 23:19:13	+                        or (scanTest and scanTest2 and overlaySpws and overlayAntennas==False and overlayTimes==False)
build	18-Sep-2019 23:19:13	+                        or ((spwctr==len(spwsToPlot)-1) and (overlayBasebands or overlaySpws) and overlayAntennas==False and overlayTimes==False)
build	18-Sep-2019 23:19:13	+                        # following case is needed for scans parameter with overlay='time'
build	18-Sep-2019 23:19:13	+                        or (overlayTimes and scanTest and overlayAntennas==False)
build	18-Sep-2019 23:19:13	+                        # Following case is needed to make subplot=11 to work for: try to support overlay='antenna,time' :  'phase'
build	18-Sep-2019 23:19:13	+                        or (xframe == lastFrame and overlayTimes and overlayAntennas and
build	18-Sep-2019 23:19:13	+                            xctr+1==len(antennasToPlot) and
build	18-Sep-2019 23:19:13	+                            mytimeTest and
build	18-Sep-2019 23:19:13	+                            spwctr<len(spwsToPlot))
build	18-Sep-2019 23:19:13	+                        or (doneOverlayTime and overlayTimes==True
build	18-Sep-2019 23:19:13	+                            and overlayAntennas==False 
build	18-Sep-2019 23:19:13	+                            )):
build	18-Sep-2019 23:19:13	+                      if (debug):
build	18-Sep-2019 23:19:13	+                          print("entered 'if' block")
build	18-Sep-2019 23:19:13	+                      DrawBottomLegendPageCoords(msName, uniqueTimes[mytime], mysize, figfile)
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+                      # added len(pages)>0 on July 30, 2013 to prevent crash when called with single
build	18-Sep-2019 23:19:13	+                      # antenna and subplot=11 and all solutions flagged.
build	18-Sep-2019 23:19:13	+                      if (len(figfile) > 0 and len(pages)>0):
build	18-Sep-2019 23:19:13	+                          if (debug):
build	18-Sep-2019 23:19:13	+                              print("calling makeplot")
build	18-Sep-2019 23:19:13	+                          plotfiles.append(makeplot(figfile,msFound,msAnt,
build	18-Sep-2019 23:19:13	+                                                    overlayAntennas,pages,pagectr,
build	18-Sep-2019 23:19:13	+                                                    density,interactive,antennasToPlot,
build	18-Sep-2019 23:19:13	+                                                    spwsToPlot,overlayTimes,overlayBasebands,
build	18-Sep-2019 23:19:13	+                                                    4,xant,ispw,subplot,resample,debug,
build	18-Sep-2019 23:19:13	+                                                    figfileSequential, figfileNumber))
build	18-Sep-2019 23:19:13	+                          if (debug):
build	18-Sep-2019 23:19:13	+                              print("done makeplot")
build	18-Sep-2019 23:19:13	+                          figfileNumber += 1
build	18-Sep-2019 23:19:13	+                      myinput = ''
build	18-Sep-2019 23:19:13	+                      donetime = timeUtilities.time()
build	18-Sep-2019 23:19:13	+                      drewAtmosphere = False # needed for CAS-7187 (subplot=11)
build	18-Sep-2019 23:19:13	+                      if (interactive):
build	18-Sep-2019 23:19:13	+                          pb.draw()
build	18-Sep-2019 23:19:13	+# #     # #                myinput = raw_input("(%.1f sec) Press return for next screen (b for backwards, q to quit): "%(donetime-mytimestamp))
build	18-Sep-2019 23:19:13	+                          myinput = raw_input("Press return for next page (b for backwards, q to quit): ")
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                          myinput = ''
build	18-Sep-2019 23:19:13	+                      skippingSpwMessageSent = 0
build	18-Sep-2019 23:19:13	+                      mytimestamp = timeUtilities.time()
build	18-Sep-2019 23:19:13	+                      if (myinput.find('q') >= 0):
build	18-Sep-2019 23:19:13	+                          mytime = len(uniqueTimes)
build	18-Sep-2019 23:19:13	+                          spwctr = len(spwsToPlot)
build	18-Sep-2019 23:19:13	+                          xctr = len(antennasToPlot)
build	18-Sep-2019 23:19:13	+                          bbctr = len(spwsToPlotInBaseband)
build	18-Sep-2019 23:19:13	+                          break
build	18-Sep-2019 23:19:13	+                      if (debug):
build	18-Sep-2019 23:19:13	+                          print("4)Setting xframe to %d" % (xframeStart))
build	18-Sep-2019 23:19:13	+                      xframe = xframeStart
build	18-Sep-2019 23:19:13	+                      myUniqueColor = []
build	18-Sep-2019 23:19:13	+                      pb.subplots_adjust(hspace=myhspace, wspace=mywspace)
build	18-Sep-2019 23:19:13	+                      if (myinput.find('b') >= 0):
build	18-Sep-2019 23:19:13	+                          if (pagectr > 0):
build	18-Sep-2019 23:19:13	+                              if (debug):
build	18-Sep-2019 23:19:13	+                                  print("Decrementing pagectr from %d to %d" % (pagectr, pagectr-1))
build	18-Sep-2019 23:19:13	+                              pagectr -= 1
build	18-Sep-2019 23:19:13	+                          else:
build	18-Sep-2019 23:19:13	+                              if (debug):
build	18-Sep-2019 23:19:13	+                                  print("Not decrementing pagectr=%d" % (pagectr))
build	18-Sep-2019 23:19:13	+                          redisplay = True
build	18-Sep-2019 23:19:13	+                          #redisplay the current page by setting ctrs back to the value they had at start of that page
build	18-Sep-2019 23:19:13	+                          xctr = pages[pagectr][PAGE_ANT]
build	18-Sep-2019 23:19:13	+                          spwctr = pages[pagectr][PAGE_SPW]
build	18-Sep-2019 23:19:13	+                          mytime = pages[pagectr][PAGE_TIME]
build	18-Sep-2019 23:19:13	+                          myap = pages[pagectr][PAGE_AP]
build	18-Sep-2019 23:19:13	+                          xant = antennasToPlot[xctr]
build	18-Sep-2019 23:19:13	+                          antstring, Antstring = buildAntString(xant,msFound,msAnt)
build	18-Sep-2019 23:19:13	+                          ispw = spwsToPlot[spwctr]
build	18-Sep-2019 23:19:13	+# #     # #                print("Returning to [%d,%d,%d,%d]" % (xctr,spwctr,mytime,myap))
build	18-Sep-2019 23:19:13	+                      else:
build	18-Sep-2019 23:19:13	+                          pagectr += 1
build	18-Sep-2019 23:19:13	+                          if (pagectr >= len(pages)):
build	18-Sep-2019 23:19:13	+                              newpage = 1
build	18-Sep-2019 23:19:13	+                          else:
build	18-Sep-2019 23:19:13	+                              newpage = 0
build	18-Sep-2019 23:19:13	+                      if (overlayTimes==True and 
build	18-Sep-2019 23:19:13	+                          sloppyMatch(uniqueTimesPerFieldPerSpw[ispwInCalTable][fieldIndex][-1],
build	18-Sep-2019 23:19:13	+                                      uniqueTimes[mytime],solutionTimeThresholdSeconds,
build	18-Sep-2019 23:19:13	+                                      mytime, scansToPlotPerSpw[ispw], scansForUniqueTimes, # au version
build	18-Sep-2019 23:19:13	+#                                      mytime, scansToPlot, scansForUniqueTimes, # task version
build	18-Sep-2019 23:19:13	+                                      myprint=debugSloppyMatch)):
build	18-Sep-2019 23:19:13	+                          # be sure to avoid any more loops through mytime which will cause 'b' button to fail
build	18-Sep-2019 23:19:13	+                          mytime = nUniqueTimes
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        if (debug):
build	18-Sep-2019 23:19:13	+                            print(">>>>>>>>>>> Not going to new page, uniqueTimes[mytime]=%.8f, uniqueTimesPerFieldPerSpw[ispwInCalTable=%d][fieldIndex=%d][-1]=%.8f" % (uniqueTimes[mytime], ispwInCalTable, fieldIndex, uniqueTimesPerFieldPerSpw[ispwInCalTable][fieldIndex][-1]))
build	18-Sep-2019 23:19:13	+                            print("spwctr=%d ?== (len(spwsToPlot)-1)=%d, spwsToPlot=" % (spwctr,len(spwsToPlot)-1),spwsToPlot)
build	18-Sep-2019 23:19:13	+                            print("test1: %s" % (overlayAntennas==False and overlayTimes==False and overlaySpws==False and overlayBasebands==False))
build	18-Sep-2019 23:19:13	+                            print("test2: %s" % (overlayAntennas==False and overlaySpws==False and overlayBasebands==False and (mytime+1==nUniqueTimes or mytime == timerangeList[-1])))
build	18-Sep-2019 23:19:13	+                            print("test3: %s" % (xant==antennasToPlot[-1] and overlayAntennas==True and overlayTimes==False and overlaySpws==False and overlayBasebands==False))
build	18-Sep-2019 23:19:13	+                            print("*test4: %s" % ((spwctr==len(spwsToPlot)-1) and (overlaySpws or overlayBasebands) and overlayAntennas==False and overlayTimes==False) )
build	18-Sep-2019 23:19:13	+                            print("    * = overlaySpws==True" )
build	18-Sep-2019 23:19:13	+                            print("test5: %s" % (overlayTimes and scanTest))
build	18-Sep-2019 23:19:13	+                            print("test6: %s" % (xframe == lastFrame and overlayTimes and overlayAntennas and xctr+1==len(antennasToPlot) and mytimeTest and spwctr<len(spwsToPlot)))
build	18-Sep-2019 23:19:13	+                            print("test7: %s" % (doneOverlayTime and overlayTimes==True and overlayAntennas==False))
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+                  if (redisplay == False):
build	18-Sep-2019 23:19:13	+                      if ((overlayAntennas and xctr+1 >= len(antennasToPlot)) or
build	18-Sep-2019 23:19:13	+                          ((overlaySpws or overlayBasebands) and spwctr+1 >= len(spwsToPlot)) or                
build	18-Sep-2019 23:19:13	+                          (overlayAntennas==False and overlaySpws==False and overlayBasebands==False)): 
build	18-Sep-2019 23:19:13	+                          mytime += 1
build	18-Sep-2019 23:19:13	+                          if (debug):
build	18-Sep-2019 23:19:13	+                              print("AT BOTTOM OF LOOP: Incrementing mytime to %d, setting firstUnflaggedAntennaToPlot to 0" % (mytime))
build	18-Sep-2019 23:19:13	+                          firstUnflaggedAntennaToPlot = 0  # try this
build	18-Sep-2019 23:19:13	+                          doneOverlayTime = False  # added on 08-nov-2012
build	18-Sep-2019 23:19:13	+                          if (overlayBasebands and (uniqueScanNumbers == sorted(scansToPlot))): 
build	18-Sep-2019 23:19:13	+                              if (debug): print("Breaking because scans not specified")
build	18-Sep-2019 23:19:13	+                              break
build	18-Sep-2019 23:19:13	+                # end of while(mytime) loop
build	18-Sep-2019 23:19:13	+                if (redisplay == False):
build	18-Sep-2019 23:19:13	+                    spwctr += 1
build	18-Sep-2019 23:19:13	+                    if (debug):
build	18-Sep-2019 23:19:13	+                        print(    "---------------------------------------- Incrementing spwctr to %d, spwsToPlot=" % (spwctr), spwsToPlot)
build	18-Sep-2019 23:19:13	+                        if (spwctr < len(spwsToPlot)):
build	18-Sep-2019 23:19:13	+                            print("---------------------------------------- ispw = %d" % (spwsToPlot[spwctr]))
build	18-Sep-2019 23:19:13	+                        else:
build	18-Sep-2019 23:19:13	+                            print("---------------------------------------- done the spws in this baseband (%d)" % (baseband))
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    if (debug):
build	18-Sep-2019 23:19:13	+                        print("redisplay = True")
build	18-Sep-2019 23:19:13	+       # end of while(spwctr) loop
build	18-Sep-2019 23:19:13	+       if (debug): print("at bottom of spwctr loop, spwctr=%d, incrementing bbctr from %d to %d" % (spwctr,bbctr,bbctr+1))
build	18-Sep-2019 23:19:13	+       bbctr += 1
build	18-Sep-2019 23:19:13	+      # end of while(bbctr) loop
build	18-Sep-2019 23:19:13	+      if (debug): print("at bottom of bbctr loop")
build	18-Sep-2019 23:19:13	+      if (xant >= antennasToPlot[-1] and xframe != xframeStart):
build	18-Sep-2019 23:19:13	+          # this is the last antenna, so make a final plot
build	18-Sep-2019 23:19:13	+          if (len(figfile) > 0):
build	18-Sep-2019 23:19:13	+              plotfiles.append(makeplot(figfile,msFound,msAnt,overlayAntennas,
build	18-Sep-2019 23:19:13	+                                        pages,pagectr,density,interactive,
build	18-Sep-2019 23:19:13	+                                        antennasToPlot,spwsToPlot,overlayTimes,overlayBasebands,
build	18-Sep-2019 23:19:13	+                                        5,xant,ispw,subplot,resample,debug,
build	18-Sep-2019 23:19:13	+                                        figfileSequential,figfileNumber))
build	18-Sep-2019 23:19:13	+              figfileNumber += 1
build	18-Sep-2019 23:19:13	+      if (redisplay == False):
build	18-Sep-2019 23:19:13	+          xctr += 1
build	18-Sep-2019 23:19:13	+          if (debug):
build	18-Sep-2019 23:19:13	+              print("Incrementing xctr to %d" % (xctr))
build	18-Sep-2019 23:19:13	+      if (overlayAntennas):
build	18-Sep-2019 23:19:13	+          if (debug):
build	18-Sep-2019 23:19:13	+              print("Breaking out of antenna loop because we are done -------------------")
build	18-Sep-2019 23:19:13	+          break
build	18-Sep-2019 23:19:13	+    # end of while(xant) loop
build	18-Sep-2019 23:19:13	+    if (debug): print("Finished while(xant) loop----------------")
build	18-Sep-2019 23:19:13	+    pb.draw()
build	18-Sep-2019 23:19:13	+    if (len(plotfiles) == 1 and figfileSequential):
build	18-Sep-2019 23:19:13	+        # rename the single file to remove ".000"
build	18-Sep-2019 23:19:13	+        newplotfiles = [plotfiles[0].split('.000.png')[0]+'.png']
build	18-Sep-2019 23:19:13	+        print("renaming %s to %s" % (plotfiles[0],newplotfiles[0]))
build	18-Sep-2019 23:19:13	+        os.system('mv %s %s' % (plotfiles[0],newplotfiles[0]))
build	18-Sep-2019 23:19:13	+        plotfiles = newplotfiles
build	18-Sep-2019 23:19:13	+    if (len(plotfiles) > 0 and buildpdf):
build	18-Sep-2019 23:19:13	+      pdfname = figfile+'.pdf'
build	18-Sep-2019 23:19:13	+      filelist = ''
build	18-Sep-2019 23:19:13	+      plotfiles = np.unique(plotfiles)
build	18-Sep-2019 23:19:13	+      for i in range(len(plotfiles)):
build	18-Sep-2019 23:19:13	+        cmd = '%s -density %d %s %s.pdf' % (convert,density,plotfiles[i],plotfiles[i].split('.png')[0])
build	18-Sep-2019 23:19:13	+        casalogPost(debug,"Running command = %s" % (cmd))
build	18-Sep-2019 23:19:13	+        mystatus = os.system(cmd)
build	18-Sep-2019 23:19:13	+        if (mystatus != 0):
build	18-Sep-2019 23:19:13	+            print("ImageMagick's convert command not found, no PDF built")
build	18-Sep-2019 23:19:13	+            buildpdf = False
build	18-Sep-2019 23:19:13	+            break
build	18-Sep-2019 23:19:13	+        filelist += plotfiles[i].split('.png')[0] + '.pdf '
build	18-Sep-2019 23:19:13	+      if (buildpdf and (len(plotfiles)>1 or not figfileSequential)):
build	18-Sep-2019 23:19:13	+          # The following 2 lines reduce the total number of characters on the command line, which
build	18-Sep-2019 23:19:13	+          # was apparently a problem at JAO for Liza.
build	18-Sep-2019 23:19:13	+          filelist = ' '.join(pruneFilelist(filelist.split()))
build	18-Sep-2019 23:19:13	+          pdfname = pruneFilelist([pdfname])[0]
build	18-Sep-2019 23:19:13	+          cmd = '%s %s cat output %s' % (pdftk, filelist, pdfname)
build	18-Sep-2019 23:19:13	+          casalogPost(debug,"Running command = %s" % (cmd))
build	18-Sep-2019 23:19:13	+          mystatus = os.system(cmd)
build	18-Sep-2019 23:19:13	+          if (mystatus != 0):
build	18-Sep-2019 23:19:13	+              cmd = '%s -q -sPAPERSIZE=letter -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=%s %s' % (gs,pdfname,filelist)
build	18-Sep-2019 23:19:13	+              casalogPost(debug,"Running command = %s" % (cmd))
build	18-Sep-2019 23:19:13	+              mystatus = os.system(cmd)
build	18-Sep-2019 23:19:13	+          if (mystatus == 0):
build	18-Sep-2019 23:19:13	+              casalogPost(debug,"PDF left in %s" % (pdfname))
build	18-Sep-2019 23:19:13	+              print("PDF left in %s" % (pdfname))
build	18-Sep-2019 23:19:13	+              os.system("rm -f %s" % filelist)
build	18-Sep-2019 23:19:13	+          else:
build	18-Sep-2019 23:19:13	+              print("Both pdftk and ghostscript are missing, so no PDF built.")
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    showFinalMessage(overlayAntennas, solutionTimeSpread, nUniqueTimes)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (channeldiff>0):
build	18-Sep-2019 23:19:13	+        # Compute median over all antennas, or at least those completed before 'q' was hit
build	18-Sep-2019 23:19:13	+        madstats['median'] = dict.fromkeys(spwsToPlot)
build	18-Sep-2019 23:19:13	+        spwvalue = {}
build	18-Sep-2019 23:19:13	+        spwvalue['amp'] = []
build	18-Sep-2019 23:19:13	+        spwvalue['phase'] = []
build	18-Sep-2019 23:19:13	+        for j in spwsToPlot:
build	18-Sep-2019 23:19:13	+            madstats['median'][j] = dict.fromkeys(timerangeList) # dict.fromkeys(range(len(uniqueTimes)))
build	18-Sep-2019 23:19:13	+            for k in timerangeList: # range(len(uniqueTimes)):
build	18-Sep-2019 23:19:13	+                madstats['median'][j][k] = dict.fromkeys(range(nPolarizations))
build	18-Sep-2019 23:19:13	+                for l in range(nPolarizations):
build	18-Sep-2019 23:19:13	+                    if (yaxis == 'both'):
build	18-Sep-2019 23:19:13	+                        madstats['median'][j][k][l] = {'amp': None, 'phase': None}
build	18-Sep-2019 23:19:13	+                    elif (yaxis == 'phase'):
build	18-Sep-2019 23:19:13	+                        madstats['median'][j][k][l] = {'phase': None}
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        # this includes tsys and amp
build	18-Sep-2019 23:19:13	+                        madstats['median'][j][k][l] = {'amp': None}
build	18-Sep-2019 23:19:13	+                    for m in madstats['median'][j][k][l].keys():
build	18-Sep-2019 23:19:13	+                        value = []
build	18-Sep-2019 23:19:13	+                        for i in madstats.keys():  # loop over antennas
build	18-Sep-2019 23:19:13	+                            if (i != 'median' and i != 'platforming'):
build	18-Sep-2019 23:19:13	+                                if (madstats[i][j][k][l][m] != None):
build	18-Sep-2019 23:19:13	+                                    if (debug): print("madstats[%s][%d][%d][%d][%s] = " % (i,j,k,l,m), madstats[i][j][k][l][m])
build	18-Sep-2019 23:19:13	+                                    value.append(madstats[i][j][k][l][m])
build	18-Sep-2019 23:19:13	+                                    spwvalue[m].append(madstats[i][j][k][l][m])
build	18-Sep-2019 23:19:13	+                        madstats['median'][j][k][l][m] = np.median(value)
build	18-Sep-2019 23:19:13	+        # now add another spw which is the median over spw,time,polarization
build	18-Sep-2019 23:19:13	+        if (yaxis == 'both'):
build	18-Sep-2019 23:19:13	+            madstats['median']['median']={'amp': np.median(spwvalue['amp']),
build	18-Sep-2019 23:19:13	+                                          'phase': np.median(spwvalue['phase'])}
build	18-Sep-2019 23:19:13	+        elif (yaxis == 'phase'):
build	18-Sep-2019 23:19:13	+            madstats['median'][j][k][l] = {'phase': np.median(spwvalue['phase'])}
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            madstats['median']['median'] = {'amp': np.median(spwvalue['amp'])}
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+        mymsmd.close()
build	18-Sep-2019 23:19:13	+        return(madstats)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        if (msFound and mymsmd != ''):
build	18-Sep-2019 23:19:13	+            mymsmd.close()
build	18-Sep-2019 23:19:13	+        return()
build	18-Sep-2019 23:19:13	+    # end of plotbandpass
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def GetFieldIdsForFieldName(token, mymsmd, msFields):
build	18-Sep-2019 23:19:13	+    if (mymsmd != '' and mymsmd != None):
build	18-Sep-2019 23:19:13	+        return(mymsmd.fieldsforname(token)[0])
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        return(list(msFields).index(token))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def GetFieldNamesForFieldId(u, mymsmd, msFields):
build	18-Sep-2019 23:19:13	+    if (mymsmd != '' and mymsmd != None):
build	18-Sep-2019 23:19:13	+        return(mymsmd.namesforfields(u)[0])
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        print("B")
build	18-Sep-2019 23:19:13	+        return(msFields[u])
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getTelescopeNameFromCaltable(caltable):
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    mytb.open(caltable)
build	18-Sep-2019 23:19:13	+    if ('OBSERVATION' in mytb.getkeywords()):
build	18-Sep-2019 23:19:13	+        observationTable = mytb.getkeyword('OBSERVATION').split()[1]
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        observationTable = None
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    if (observationTable == None):
build	18-Sep-2019 23:19:13	+        return('')
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        return(getTelescopeNameFromCaltableObservationTable(observationTable))
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getTelescopeNameFromCaltableObservationTable(observationTable):
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    mytb.open(observationTable)
build	18-Sep-2019 23:19:13	+    telescope = mytb.getcell('TELESCOPE_NAME')
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    return(telescope)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getCorrTypeByAntennaName(firstAntenna):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    This function is used only if the OBSERVATION table of the caltable is blank and the MS is unavailable.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    print("Using antenna name (%s) to set the polarization type." % (firstAntenna))
build	18-Sep-2019 23:19:13	+    if (firstAntenna.find('ea') >= 0):
build	18-Sep-2019 23:19:13	+        corr_type_string = ['RR','LL']
build	18-Sep-2019 23:19:13	+        corr_type = [5,8]
build	18-Sep-2019 23:19:13	+    elif (firstAntenna.find('dv') >= 0 or firstAntenna.find('da') >= 0 or
build	18-Sep-2019 23:19:13	+          firstAntenna.find('pm') >= 0 or firstAntenna.find('da') >= 0):
build	18-Sep-2019 23:19:13	+        corr_type_string = ['XX','YY']
build	18-Sep-2019 23:19:13	+        corr_type = [9,12]
build	18-Sep-2019 23:19:13	+    else: # SMA
build	18-Sep-2019 23:19:13	+        corr_type_string = ['XX']
build	18-Sep-2019 23:19:13	+        corr_type = [9]
build	18-Sep-2019 23:19:13	+    return(corr_type, corr_type_string, len(corr_type))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def MAD(a, c=0.6745, axis=0):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Median Absolute Deviation along given axis of an array:
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    median(abs(a - median(a))) / c
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    c = 0.6745 is the constant to convert from MAD to std; it is used by
build	18-Sep-2019 23:19:13	+    default
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    a = np.array(a)
build	18-Sep-2019 23:19:13	+    good = (a==a)
build	18-Sep-2019 23:19:13	+    a = np.asarray(a, np.float64)
build	18-Sep-2019 23:19:13	+    if a.ndim == 1:
build	18-Sep-2019 23:19:13	+        d = np.median(a[good])
build	18-Sep-2019 23:19:13	+        m = np.median(np.fabs(a[good] - d) / c)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        d = np.median(a[good], axis=axis)
build	18-Sep-2019 23:19:13	+        # I don't want the array to change so I have to copy it?
build	18-Sep-2019 23:19:13	+        if axis > 0:
build	18-Sep-2019 23:19:13	+            aswp = swapaxes(a[good],0,axis)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            aswp = a[good]
build	18-Sep-2019 23:19:13	+        m = np.median(np.fabs(aswp - d) / c, axis=0)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    return m
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def showFinalMessage(overlayAntennas, solutionTimeSpread, nUniqueTimes):
build	18-Sep-2019 23:19:13	+  if (overlayAntennas and solutionTimeSpread > 0 and nUniqueTimes==1):
build	18-Sep-2019 23:19:13	+      print("If not all spws were shown, then try setting solutionTimeThreshold=%.0f seconds" % (solutionTimeSpread+1))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def computeOriginalSpwsToPlot(spwsToPlot, originalSpws, tableFormat, debug):
build	18-Sep-2019 23:19:13	+    if (tableFormat > 33):
build	18-Sep-2019 23:19:13	+        # New caltables use the same numbering as the original ms
build	18-Sep-2019 23:19:13	+        return(spwsToPlot)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        originalSpwsToPlot = []
build	18-Sep-2019 23:19:13	+        for spw in spwsToPlot:
build	18-Sep-2019 23:19:13	+            originalSpwsToPlot.append(originalSpws[spw])
build	18-Sep-2019 23:19:13	+        return(list(originalSpwsToPlot))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def computeScansForUniqueTimes(uniqueTimes, cal_scans, times, unique_cal_scans,
build	18-Sep-2019 23:19:13	+                               debug=False):
build	18-Sep-2019 23:19:13	+    scansForUniqueTimes = []
build	18-Sep-2019 23:19:13	+    nUniqueTimes = len(uniqueTimes)
build	18-Sep-2019 23:19:13	+    for uT in uniqueTimes:
build	18-Sep-2019 23:19:13	+        if (debug): print("Checking uniqueTime = %s" % (str(uT)))
build	18-Sep-2019 23:19:13	+        scansForUniqueTimes.append(cal_scans[list(times).index(uT)])
build	18-Sep-2019 23:19:13	+    if (len(unique_cal_scans) == 1):
build	18-Sep-2019 23:19:13	+        if (unique_cal_scans[0] != -1): 
build	18-Sep-2019 23:19:13	+            if (len(scansForUniqueTimes) != len(np.unique(scansForUniqueTimes))):
build	18-Sep-2019 23:19:13	+                if debug:
build	18-Sep-2019 23:19:13	+                    print("Because there are multiple timestamps per scan, I will not assume there is a one-to-one match.")
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                nUniqueTimes = len(np.unique(scansForUniqueTimes))
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            # This 3.4 table does not have the scan numbers populated
build	18-Sep-2019 23:19:13	+            scansForUniqueTimes = []
build	18-Sep-2019 23:19:13	+            if debug:
build	18-Sep-2019 23:19:13	+                print("Because the scan numbers are either not filled in this table, or the solutions span multiple scans, I will use timestamps instead.")
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        if (len(scansForUniqueTimes) != len(np.unique(scansForUniqueTimes))):
build	18-Sep-2019 23:19:13	+            if debug:
build	18-Sep-2019 23:19:13	+                print("Because there are multiple timestamps per scan, I will not assume there is a one-to-one match.")
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            nUniqueTimes = len(np.unique(scansForUniqueTimes))
build	18-Sep-2019 23:19:13	+    return(scansForUniqueTimes, nUniqueTimes)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def calcChebyshev(coeff, validDomain, x):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Given a set of coefficients,
build	18-Sep-2019 23:19:13	+    this method evaluates a Chebyshev approximation.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (type(x) == float or type(x) == int):
build	18-Sep-2019 23:19:13	+         x = [x]
build	18-Sep-2019 23:19:13	+    myxrange = validDomain[1] - validDomain[0]
build	18-Sep-2019 23:19:13	+    x = -1 + 2*(x-validDomain[0])/myxrange
build	18-Sep-2019 23:19:13	+    coeff[0] = 0
build	18-Sep-2019 23:19:13	+    if (True):
build	18-Sep-2019 23:19:13	+        try:
build	18-Sep-2019 23:19:13	+            # python 2.7
build	18-Sep-2019 23:19:13	+            v = np.polynomial.chebyshev.chebval(x,coeff)
build	18-Sep-2019 23:19:13	+        except:
build	18-Sep-2019 23:19:13	+            # python 2.6
build	18-Sep-2019 23:19:13	+            v = np.polynomial.chebval(x,coeff)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+      # manual approach, before I found chebval()
build	18-Sep-2019 23:19:13	+      v = np.zeros(len(x))
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 0):
build	18-Sep-2019 23:19:13	+          v += coeff[0] * 1
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 1):
build	18-Sep-2019 23:19:13	+          v += coeff[1] * (x)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 2):
build	18-Sep-2019 23:19:13	+          v += coeff[2] * (2*x**2 - 1)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 3):
build	18-Sep-2019 23:19:13	+          v += coeff[3] * (4*x**3 - 3*x)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 4):
build	18-Sep-2019 23:19:13	+          v += coeff[4] * (8*x**4 - 8*x**2 + 1)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 5):
build	18-Sep-2019 23:19:13	+          v += coeff[5] * (16*x**5 - 20*x**3 + 5*x)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 6):
build	18-Sep-2019 23:19:13	+          v += coeff[6] * (32*x**6 - 48*x**4 + 18*x**2 - 1)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 7):
build	18-Sep-2019 23:19:13	+          v += coeff[7] * (64*x**7 -112*x**5 + 56*x**3 - 7*x)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 8):
build	18-Sep-2019 23:19:13	+          v += coeff[8] * (128*x**8 -256*x**6 +160*x**5 - 32*x**2 + 1)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 9):
build	18-Sep-2019 23:19:13	+          v += coeff[9] * (256*x**9 -576*x**7 +432*x**5 - 120*x**3 + 9*x)
build	18-Sep-2019 23:19:13	+      if (len(coeff) > 10):
build	18-Sep-2019 23:19:13	+          print("Chebyshev polynomials with degree > 10 are not implemented")
build	18-Sep-2019 23:19:13	+  
build	18-Sep-2019 23:19:13	+    return(v)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def ResizeFonts(adesc,fontsize):
build	18-Sep-2019 23:19:13	+#    print("Called ResizeFonts()")
build	18-Sep-2019 23:19:13	+    yFormat = ScalarFormatter(useOffset=False)
build	18-Sep-2019 23:19:13	+    adesc.yaxis.set_major_formatter(yFormat)
build	18-Sep-2019 23:19:13	+    adesc.xaxis.set_major_formatter(yFormat)
build	18-Sep-2019 23:19:13	+    pb.setp(adesc.get_xticklabels(), fontsize=fontsize)
build	18-Sep-2019 23:19:13	+    pb.setp(adesc.get_yticklabels(), fontsize=fontsize)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def complexMeanRad(phases):
build	18-Sep-2019 23:19:13	+    # convert back to real and imaginary, take mean, then convert back to phase
build	18-Sep-2019 23:19:13	+    meanSin = np.mean(np.sin(phases))
build	18-Sep-2019 23:19:13	+    meanCos = np.mean(np.cos(phases))
build	18-Sep-2019 23:19:13	+    return(180*np.arctan2(meanSin, meanCos)/math.pi)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def complexMeanDeg(phases):
build	18-Sep-2019 23:19:13	+    # convert back to real and imaginary, take mean, then convert back to phase
build	18-Sep-2019 23:19:13	+    phases *= math.pi/180
build	18-Sep-2019 23:19:13	+    meanSin = np.mean(np.sin(phases))
build	18-Sep-2019 23:19:13	+    meanCos = np.mean(np.cos(phases))
build	18-Sep-2019 23:19:13	+    return(180*np.arctan2(meanSin, meanCos)/math.pi)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def CalcAtmTransmission(chans,freqs,xaxis,pwv,vm, mymsmd,vis,asdm,antenna,timestamp,
build	18-Sep-2019 23:19:13	+                        interval,field,refFreqInTable, net_sideband=0,
build	18-Sep-2019 23:19:13	+                        mytime=0, missingCalWVRErrorPrinted=False, caltable='',
build	18-Sep-2019 23:19:13	+                        verbose=False):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    chans: all channels, regardless of whether they are flagged
build	18-Sep-2019 23:19:13	+    freqs: frequencies corresponding to chans
build	18-Sep-2019 23:19:13	+    xaxis: what we are plotting on the xaxis: 'chan' or 'freq'
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+#    print("CalcAtm, field = ", field)
build	18-Sep-2019 23:19:13	+#    print("interval = ", interval)
build	18-Sep-2019 23:19:13	+#    print("refFreqInTable = ", refFreqInTable)
build	18-Sep-2019 23:19:13	+    if (type(mymsmd) == str):
build	18-Sep-2019 23:19:13	+        telescopeName = getTelescopeNameFromCaltable(caltable)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        telescopeName = mymsmd.observatorynames()[0]
build	18-Sep-2019 23:19:13	+    if (telescopeName.find('ALMA') >= 0):
build	18-Sep-2019 23:19:13	+        defaultPWV = 1.0   # a reasonable value for ALMA in case it cannot be found
build	18-Sep-2019 23:19:13	+    elif (telescopeName.find('VLA') >= 0):
build	18-Sep-2019 23:19:13	+        defaultPWV = 5.0  
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        defaultPWV = 5.0  
build	18-Sep-2019 23:19:13	+    if (type(pwv) == str):
build	18-Sep-2019 23:19:13	+      if (pwv.find('auto')>=0):
build	18-Sep-2019 23:19:13	+        if (os.path.exists(vis+'/ASDM_CALWVR') or os.path.exists(vis+'/ASDM_CALATMOSPHERE') or
build	18-Sep-2019 23:19:13	+            os.path.exists('CalWVR.xml')):
build	18-Sep-2019 23:19:13	+              if (verbose):
build	18-Sep-2019 23:19:13	+                  print("*** Computing atmospheric transmission using measured PWV, field %d, time %d (%f). ***" % (field,mytime,timestamp))
build	18-Sep-2019 23:19:13	+              timerange = [timestamp-interval/2, timestamp+interval/2]
build	18-Sep-2019 23:19:13	+              if (os.path.exists(vis+'/ASDM_CALWVR') or os.path.exists(vis+'/ASDM_CALATMOSPHERE')):
build	18-Sep-2019 23:19:13	+                  [pwvmean, pwvstd]  = getMedianPWV(vis,timerange,asdm,verbose=False)
build	18-Sep-2019 23:19:13	+              else:
build	18-Sep-2019 23:19:13	+                  [pwvmean, pwvstd]  = getMedianPWV('.',timerange,asdm='',verbose=False)
build	18-Sep-2019 23:19:13	+              if (verbose):
build	18-Sep-2019 23:19:13	+                  print("retrieved pwvmean = %f" % pwvmean)
build	18-Sep-2019 23:19:13	+              retrievedPWV = pwvmean
build	18-Sep-2019 23:19:13	+              if (pwvmean < 0.00001):
build	18-Sep-2019 23:19:13	+                  pwvmean = defaultPWV
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+              pwvmean = defaultPWV
build	18-Sep-2019 23:19:13	+              if (missingCalWVRErrorPrinted == False):
build	18-Sep-2019 23:19:13	+                  missingCalWVRErrorPrinted = True
build	18-Sep-2019 23:19:13	+                  if (telescopeName.find('ALMA')>=0):
build	18-Sep-2019 23:19:13	+                      print("No ASDM_CALWVR, ASDM_CALATMOSPHERE, or CalWVR.xml table found.  Using PWV %.1fmm." % pwvmean)
build	18-Sep-2019 23:19:13	+                  else:
build	18-Sep-2019 23:19:13	+                      print("This telescope has no WVR to provide a PWV measurement. Using PWV %.1fmm." % pwvmean)
build	18-Sep-2019 23:19:13	+      else:
build	18-Sep-2019 23:19:13	+          try:
build	18-Sep-2019 23:19:13	+              pwvmean = float(pwv)
build	18-Sep-2019 23:19:13	+          except:
build	18-Sep-2019 23:19:13	+              pwvmean = defaultPWV
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+          try:
build	18-Sep-2019 23:19:13	+              pwvmean = float(pwv)
build	18-Sep-2019 23:19:13	+          except:
build	18-Sep-2019 23:19:13	+              pwvmean = defaultPWV
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (verbose):
build	18-Sep-2019 23:19:13	+        print("Using PWV = %.2f mm" % pwvmean)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # default values in case we can't find them below
build	18-Sep-2019 23:19:13	+    airmass = 1.5
build	18-Sep-2019 23:19:13	+    P = 563.0
build	18-Sep-2019 23:19:13	+    H = 20.0
build	18-Sep-2019 23:19:13	+    T = 273.0
build	18-Sep-2019 23:19:13	+    roundedScanTimes = []
build	18-Sep-2019 23:19:13	+    if (type(mymsmd) != str):
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Looking for scans for field integer = %d" % (field))
build	18-Sep-2019 23:19:13	+        scans = mymsmd.scansforfield(field)
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("For field %s, Got scans = " % str(field),scans)
build	18-Sep-2019 23:19:13	+        for myscan in scans:
build	18-Sep-2019 23:19:13	+            roundedScanTimes.append(np.unique(np.round(mymsmd.timesforscan(myscan))))
build	18-Sep-2019 23:19:13	+#   This method was much slower and not necessary.  Removed for CAS-8065
build	18-Sep-2019 23:19:13	+#        scantimes = mymsmd.timesforscans(scans) # is often longer than the scans array
build	18-Sep-2019 23:19:13	+#        roundedScanTimes = np.unique(np.round(scantimes,0))
build	18-Sep-2019 23:19:13	+#        scans, roundedScanTimes = getScansForTimes(mymsmd,roundedScanTimes) # be sure that each scantime has a scan associated, round to nearest second to save time (esp. for single dish data)
build	18-Sep-2019 23:19:13	+#        if (verbose): print("scantimes = %s" % (str(scantimes)))
build	18-Sep-2019 23:19:13	+#        if (verbose): print("scans = %s" % (str(scans)))
build	18-Sep-2019 23:19:13	+        mindiff = 1e20
build	18-Sep-2019 23:19:13	+        bestscan = 1
build	18-Sep-2019 23:19:13	+        for i in range(len(roundedScanTimes)):
build	18-Sep-2019 23:19:13	+            stime = roundedScanTimes[i]
build	18-Sep-2019 23:19:13	+            meantime = np.mean(stime)
build	18-Sep-2019 23:19:13	+            tdiff = np.abs(meantime-timestamp)
build	18-Sep-2019 23:19:13	+    #        if (verbose): print("tdiff = %s" % (str(tdiff)))
build	18-Sep-2019 23:19:13	+            if (tdiff < mindiff):
build	18-Sep-2019 23:19:13	+                bestscan = scans[i]
build	18-Sep-2019 23:19:13	+                if (verbose): print("bestscan = %s" % (str(bestscan)))
build	18-Sep-2019 23:19:13	+                mindiff = tdiff
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+              print("For timestamp=%.1f, got closest scan = %d, %.0f sec away" %(timestamp, bestscan,mindiff))
build	18-Sep-2019 23:19:13	+        if (verbose): print("Calling getWeather()")
build	18-Sep-2019 23:19:13	+        [conditions,myTimes] = getWeather(vis,bestscan,antenna,verbose,mymsmd)
build	18-Sep-2019 23:19:13	+        if (verbose): print("Done getWeather()")
build	18-Sep-2019 23:19:13	+        P = conditions['pressure']
build	18-Sep-2019 23:19:13	+        H = conditions['humidity']
build	18-Sep-2019 23:19:13	+        T = conditions['temperature']+273.15
build	18-Sep-2019 23:19:13	+        if (P <= 0.0):
build	18-Sep-2019 23:19:13	+            P = 563
build	18-Sep-2019 23:19:13	+        if (H <= 0.0):
build	18-Sep-2019 23:19:13	+            H = 20
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        conditions = {}
build	18-Sep-2019 23:19:13	+    if (type(mymsmd) != str):
build	18-Sep-2019 23:19:13	+      if ('elevation' not in conditions.keys()):
build	18-Sep-2019 23:19:13	+        # Someone cleared the POINTING table, so calculate elevation from Ra/Dec/MJD
build	18-Sep-2019 23:19:13	+#        myfieldId =  mymsmd.fieldsforname(mymsmd.fieldsforscan(bestscan))
build	18-Sep-2019 23:19:13	+        myfieldId =  mymsmd.fieldsforscan(bestscan)[0]
build	18-Sep-2019 23:19:13	+        myscantime = np.mean(mymsmd.timesforscan(bestscan))
build	18-Sep-2019 23:19:13	+        mydirection = getRADecForField(vis, myfieldId, verbose)
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("myfieldId = %s" % (str(myfieldId)))
build	18-Sep-2019 23:19:13	+            print("mydirection = %s" % (str(mydirection)))
build	18-Sep-2019 23:19:13	+            print("Scan =  %d, time = %.1f,  Field = %d, direction = %s" % (bestscan, myscantime, myfieldId, str(mydirection)))
build	18-Sep-2019 23:19:13	+        telescopeName = mymsmd.observatorynames()[0]
build	18-Sep-2019 23:19:13	+        if (len(telescopeName) < 1):
build	18-Sep-2019 23:19:13	+            telescopeName = 'ALMA'
build	18-Sep-2019 23:19:13	+        print("telescope = %s" % (telescopeName))
build	18-Sep-2019 23:19:13	+        myazel = computeAzElFromRADecMJD(mydirection, myscantime/86400., telescopeName)
build	18-Sep-2019 23:19:13	+        conditions['elevation'] = myazel[1] * 180/math.pi
build	18-Sep-2019 23:19:13	+        conditions['azimuth'] = myazel[0] * 180/math.pi
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Computed elevation = %.1f deg" % (conditions['elevation']))
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        conditions['elevation'] = 90
build	18-Sep-2019 23:19:13	+        bestscan = -1
build	18-Sep-2019 23:19:13	+    if (verbose):
build	18-Sep-2019 23:19:13	+          print("CalcAtm: found elevation=%f (airmass=%.3f) for scan: %s" % (conditions['elevation'],1/np.sin(conditions['elevation']*np.pi/180.), str(bestscan)))
build	18-Sep-2019 23:19:13	+          print("P,H,T = %f,%f,%f" % (P,H,T))
build	18-Sep-2019 23:19:13	+    if (conditions['elevation'] <= 3):
build	18-Sep-2019 23:19:13	+        print("Using 45 deg elevation instead")
build	18-Sep-2019 23:19:13	+        airmass = 1.0/math.cos(45*math.pi/180.)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        airmass = 1.0/math.cos((90-conditions['elevation'])*math.pi/180.)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    tropical = 1
build	18-Sep-2019 23:19:13	+    midLatitudeSummer = 2
build	18-Sep-2019 23:19:13	+    midLatitudeWinter = 3
build	18-Sep-2019 23:19:13	+    numchan = len(freqs)
build	18-Sep-2019 23:19:13	+    # Set the reference freq to be the middle of the middle two channels
build	18-Sep-2019 23:19:13	+    reffreq=0.5*(freqs[numchan/2-1]+freqs[numchan/2])
build	18-Sep-2019 23:19:13	+    originalnumchan = numchan
build	18-Sep-2019 23:19:13	+    while (numchan > MAX_ATM_CALC_CHANNELS):
build	18-Sep-2019 23:19:13	+        numchan /= 2
build	18-Sep-2019 23:19:13	+#        print("Reducing numchan to ", numchan)
build	18-Sep-2019 23:19:13	+        chans = range(0,originalnumchan,(originalnumchan/numchan))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    chansep = (freqs[-1]-freqs[0])/(numchan-1)
build	18-Sep-2019 23:19:13	+    nbands = 1
build	18-Sep-2019 23:19:13	+    if (verbose): print("Opening casac.atmosphere()")
build	18-Sep-2019 23:19:13	+    myat = createCasaTool(attool)
build	18-Sep-2019 23:19:13	+    if (verbose): print("Opened")
build	18-Sep-2019 23:19:13	+    if (type(casac.Quantity) == type):  # casa 3.x
build	18-Sep-2019 23:19:13	+        fCenter = casac.Quantity(reffreq,'GHz')
build	18-Sep-2019 23:19:13	+        fResolution = casac.Quantity(chansep,'GHz')
build	18-Sep-2019 23:19:13	+        fWidth = casac.Quantity(numchan*chansep,'GHz')
build	18-Sep-2019 23:19:13	+        myat.initAtmProfile(humidity=H,temperature=casac.Quantity(T,"K"),altitude=casac.Quantity(5059,"m"),pressure=casac.Quantity(P,'mbar'),atmType=midLatitudeWinter)
build	18-Sep-2019 23:19:13	+        myat.initSpectralWindow(nbands,fCenter,fWidth,fResolution)
build	18-Sep-2019 23:19:13	+        myat.setUserWH2O(casac.Quantity(pwvmean,'mm'))
build	18-Sep-2019 23:19:13	+    else:   # casa 4.0
build	18-Sep-2019 23:19:13	+        myqa = qatool()
build	18-Sep-2019 23:19:13	+        fCenter = myqa.quantity(reffreq,'GHz')
build	18-Sep-2019 23:19:13	+        fResolution = myqa.quantity(chansep,'GHz')
build	18-Sep-2019 23:19:13	+        fWidth = myqa.quantity(numchan*chansep,'GHz')
build	18-Sep-2019 23:19:13	+        myat.initAtmProfile(humidity=H,temperature=myqa.quantity(T,"K"),altitude=myqa.quantity(5059,"m"),pressure=myqa.quantity(P,'mbar'),atmType=midLatitudeWinter)
build	18-Sep-2019 23:19:13	+        myat.initSpectralWindow(nbands,fCenter,fWidth,fResolution)
build	18-Sep-2019 23:19:13	+        myat.setUserWH2O(myqa.quantity(pwvmean,'mm'))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+#    myat.setAirMass()  # This does not affect the opacity, but it does effect TebbSky, so do it manually.
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    n = myat.getNumChan()
build	18-Sep-2019 23:19:13	+    if (verbose): print("numchan = %s" % (str(n)))
build	18-Sep-2019 23:19:13	+    if cu.compare_version('<',[4,0,0]):
build	18-Sep-2019 23:19:13	+        dry = np.array(myat.getDryOpacitySpec(0)['dryOpacity'])
build	18-Sep-2019 23:19:13	+        wet = np.array(myat.getWetOpacitySpec(0)['wetOpacity'].value)
build	18-Sep-2019 23:19:13	+        TebbSky = []
build	18-Sep-2019 23:19:13	+        for chan in range(n):  # do NOT use numchan here, use n
build	18-Sep-2019 23:19:13	+            TebbSky.append(myat.getTebbSky(nc=chan, spwid=0).value)
build	18-Sep-2019 23:19:13	+        TebbSky = np.array(TebbSky)
build	18-Sep-2019 23:19:13	+        # readback the values to be sure they got set
build	18-Sep-2019 23:19:13	+        #rf = myat.getRefFreq().value
build	18-Sep-2019 23:19:13	+        #cs = myat.getChanSep().value
build	18-Sep-2019 23:19:13	+    else:   # casa >=4.0
build	18-Sep-2019 23:19:13	+        dry = np.array(myat.getDryOpacitySpec(0)[1])
build	18-Sep-2019 23:19:13	+        wet = np.array(myat.getWetOpacitySpec(0)[1]['value'])
build	18-Sep-2019 23:19:13	+        TebbSky = myat.getTebbSkySpec(spwid=0)[1]['value']
build	18-Sep-2019 23:19:13	+        # readback the values to be sure they got set
build	18-Sep-2019 23:19:13	+        #rf = myqa.convert(myat.getRefFreq(),'GHz')['value']
build	18-Sep-2019 23:19:13	+        #cs = myqa.convert(myat.getChanSep(),'GHz')['value']
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    transmission = np.exp(-airmass*(wet+dry))
build	18-Sep-2019 23:19:13	+    TebbSky *= (1-np.exp(-airmass*(wet+dry)))/(1-np.exp(-wet-dry))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (refFreqInTable*1e-9>np.mean(freqs)):
build	18-Sep-2019 23:19:13	+        if ((net_sideband % 2) == 0):
build	18-Sep-2019 23:19:13	+            sense = 1
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            sense = 2
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        if ((net_sideband % 2) == 0):
build	18-Sep-2019 23:19:13	+            sense = 2
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            sense = 1
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (sense == 1):
build	18-Sep-2019 23:19:13	+        # The following looks right for LSB   sense=1
build	18-Sep-2019 23:19:13	+        if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:13	+            trans = np.zeros(len(transmission))
build	18-Sep-2019 23:19:13	+            Tebb = np.zeros(len(TebbSky))
build	18-Sep-2019 23:19:13	+            for i in range(len(transmission)):
build	18-Sep-2019 23:19:13	+                trans[i] = transmission[len(transmission)-1-i]
build	18-Sep-2019 23:19:13	+                Tebb[i] = TebbSky[len(TebbSky)-1-i]
build	18-Sep-2019 23:19:13	+            transmission = trans
build	18-Sep-2019 23:19:13	+            TebbSky = Tebb
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+    # Be sure that number of frequencies matched number of transmission values - CAS-10123
build	18-Sep-2019 23:19:13	+    numchan = len(transmission)
build	18-Sep-2019 23:19:13	+    chans = range(len(transmission))
build	18-Sep-2019 23:19:13	+    # Note that getChanFreq returns units of GHz, but use convert to be sure.
build	18-Sep-2019 23:19:13	+    startFreq = myqa.convert(myat.getChanFreq(0),'GHz')['value']
build	18-Sep-2019 23:19:13	+    endFreq = myqa.convert(myat.getChanFreq(numchan-1),'GHz')['value']
build	18-Sep-2019 23:19:13	+    # print("startFreq=%f  endFreq=%f " % (startFreq, endFreq))
build	18-Sep-2019 23:19:13	+    freq = np.linspace(startFreq, endFreq, numchan)
build	18-Sep-2019 23:19:13	+# old method that fails on spws with an even number of channels, i.e. when the integer refchan 
build	18-Sep-2019 23:19:13	+# is half a channel from the center of the span
build	18-Sep-2019 23:19:13	+#    if sense == 2:
build	18-Sep-2019 23:19:13	+#        freq = np.linspace(rf-((numchan-1)/2.)*chansepGHz, rf+((numchan-1)/2.)*chansepGHz, numchan) 
build	18-Sep-2019 23:19:13	+#    else:
build	18-Sep-2019 23:19:13	+#        freq = np.linspace(rf+((numchan-1)/2.)*chansepGHz, 
build	18-Sep-2019 23:19:13	+#                           rf-((numchan-1)/2.)*chansepGHz, numchan)
build	18-Sep-2019 23:19:13	+    # Therewas a 1-channel offset in CASA 5.0.x (CAS-10228), but it was fixed.
build	18-Sep-2019 23:19:13	+#    if (cu.compare_version('<',[5,1,0])):  
build	18-Sep-2019 23:19:13	+#        freq += chansepGHz
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (verbose): print("Done CalcAtmTransmission")
build	18-Sep-2019 23:19:13	+    return(freq, chans, transmission, pwvmean, airmass, TebbSky, missingCalWVRErrorPrinted)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def RescaleTrans(trans, lim, subplotRows, lo1='', xframe=0):
build	18-Sep-2019 23:19:13	+    # Input: the array of transmission or TebbSky values and current limits
build	18-Sep-2019 23:19:13	+    # Returns: arrays of the rescaled transmission values and the zero point
build	18-Sep-2019 23:19:13	+    #          values in units of the frame, and in amplitude.
build	18-Sep-2019 23:19:13	+    debug = False
build	18-Sep-2019 23:19:13	+    yrange = lim[1]-lim[0]
build	18-Sep-2019 23:19:13	+    if (lo1 == ''):
build	18-Sep-2019 23:19:13	+        labelgap = 0.6 # Use this fraction of the margin for the PWV ATM label
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        labelgap = 0.5 # Use this fraction of the margin to separate the top
build	18-Sep-2019 23:19:13	+                       # curve from the upper y-axis
build	18-Sep-2019 23:19:13	+    y2 = lim[1] - labelgap*yrange*TOP_MARGIN/(1.0+TOP_MARGIN)
build	18-Sep-2019 23:19:13	+    y1 = lim[1] - yrange*TOP_MARGIN/(1.0+TOP_MARGIN)
build	18-Sep-2019 23:19:13	+    transmissionRange = np.max(trans)-np.min(trans)
build	18-Sep-2019 23:19:13	+    if (transmissionRange < 0.05):
build	18-Sep-2019 23:19:13	+          # force there to be a minimum range of transmission display 
build	18-Sep-2019 23:19:13	+          # overemphasize tiny ozone lines
build	18-Sep-2019 23:19:13	+          transmissionRange = 0.05
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (transmissionRange > 1 and transmissionRange < 10):
build	18-Sep-2019 23:19:13	+          # force there to be a minimum range of Tebbsky (10K) to display
build	18-Sep-2019 23:19:13	+          transmissionRange = 10
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # convert transmission to amplitude
build	18-Sep-2019 23:19:13	+    newtrans = y2 - (y2-y1)*(np.max(trans)-trans)/transmissionRange
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # Use edge values
build	18-Sep-2019 23:19:13	+    edgeValueTransmission = trans[-1]
build	18-Sep-2019 23:19:13	+    otherEdgeValueTransmission = trans[0]
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # Now convert the edge channels' transmission values into amplitude
build	18-Sep-2019 23:19:13	+    edgeValueAmplitude = y2 - (y2-y1)*(np.max(trans)-trans[-1])/transmissionRange
build	18-Sep-2019 23:19:13	+    otherEdgeValueAmplitude = y2 - (y2-y1)*(np.max(trans)-trans[0])/transmissionRange
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # Now convert amplitude to frame units, offsetting downward by half
build	18-Sep-2019 23:19:13	+    # the font size
build	18-Sep-2019 23:19:13	+    fontoffset = 0.01*subplotRows
build	18-Sep-2019 23:19:13	+    edgeValueFrame = (edgeValueAmplitude - lim[0])/yrange  - fontoffset
build	18-Sep-2019 23:19:13	+    otherEdgeValueFrame = (otherEdgeValueAmplitude - lim[0])/yrange  - fontoffset
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # scaleFactor is how large the plot is from the bottom x-axis
build	18-Sep-2019 23:19:13	+    # up to the labelgap, in units of the transmissionRange
build	18-Sep-2019 23:19:13	+    scaleFactor = (1+TOP_MARGIN*(1-labelgap)) / (TOP_MARGIN*(1-labelgap))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # compute the transmission at the bottom of the plot, and label it
build	18-Sep-2019 23:19:13	+    y0transmission = np.max(trans) - transmissionRange*scaleFactor
build	18-Sep-2019 23:19:13	+    y0transmissionFrame = 0
build	18-Sep-2019 23:19:13	+    y0transmissionAmplitude = lim[0]
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (y0transmission <= 0):
build	18-Sep-2019 23:19:13	+        # If the bottom of the plot is below zero transmission, then label
build	18-Sep-2019 23:19:13	+        # the location of zero transmission instead.
build	18-Sep-2019 23:19:13	+        if (debug):
build	18-Sep-2019 23:19:13	+            print("--------- y0transmission original = %f, (y1,y2)=(%f,%f)" % (y0transmission,y1,y2))
build	18-Sep-2019 23:19:13	+        y0transmissionAmplitude = y1-(y2-y1)*(np.min(trans)/transmissionRange)
build	18-Sep-2019 23:19:13	+        y0transmissionFrame = (y0transmissionAmplitude-lim[0]) / (lim[1]-lim[0])
build	18-Sep-2019 23:19:13	+        y0transmission = 0
build	18-Sep-2019 23:19:13	+    if (debug):
build	18-Sep-2019 23:19:13	+        print("-------- xframe=%d, scaleFactor = %s" % (xframe, str(scaleFactor)))
build	18-Sep-2019 23:19:13	+        print("edgeValueFrame, other = %s, %s" % (str(edgeValueFrame), str(otherEdgeValueFrame)))
build	18-Sep-2019 23:19:13	+        print("edgeValueTransmission, other = %s, %s" % (str(edgeValueTransmission), str(otherEdgeValueTransmission)))
build	18-Sep-2019 23:19:13	+        print("edgeValueAmplitude, otherEdgeValueAmplitude = %s, %s" % (str(edgeValueAmplitude), str(otherEdgeValueAmplitude)))
build	18-Sep-2019 23:19:13	+        print("y0transmission = %f, y0transmissionFrame = %f" % (y0transmission,y0transmissionFrame))
build	18-Sep-2019 23:19:13	+        print("y0transmissionAmplitude = %s" % (str(y0transmissionAmplitude)))
build	18-Sep-2019 23:19:13	+        print("transmissionRange = %s" % (str(transmissionRange)))
build	18-Sep-2019 23:19:13	+    return(newtrans, edgeValueFrame, y0transmission, y0transmissionFrame,
build	18-Sep-2019 23:19:13	+           otherEdgeValueFrame, edgeValueTransmission,
build	18-Sep-2019 23:19:13	+           otherEdgeValueTransmission, edgeValueAmplitude,
build	18-Sep-2019 23:19:13	+           otherEdgeValueAmplitude, y0transmissionAmplitude)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def RescaleX(chans, lim, plotrange, channels):
build	18-Sep-2019 23:19:13	+    # This function is now only used by DrawAtmosphere when xaxis='chan'.
build	18-Sep-2019 23:19:13	+    # It is only really necessary when len(chans)>MAX_ATM_CALC_CHANNELS.
build	18-Sep-2019 23:19:13	+    #  - September 2012
build	18-Sep-2019 23:19:13	+    # If the user specified a plotrange, then rescale to this range,
build	18-Sep-2019 23:19:13	+    # otherwise rescale to the automatically-determined range.
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # chans = 0..N where N=number of channels in the ATM_CALC
build	18-Sep-2019 23:19:13	+    # channels = 0..X where X=number of channels in the spw, regardless of flagging
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (len(chans) != len(channels)):
build	18-Sep-2019 23:19:13	+        if (chans[1] > chans[0]):
build	18-Sep-2019 23:19:13	+            atmchanrange = chans[-1]-chans[0]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            atmchanrange = chans[0]-chans[-1]
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+        if (channels[1] > channels[0]):
build	18-Sep-2019 23:19:13	+            chanrange = channels[-1]-channels[0]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            chanrange = channels[0]-channels[-1]
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+        newchans = np.array(chans)*chanrange/atmchanrange
build	18-Sep-2019 23:19:13	+        return(newchans)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        return(chans)  
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def recalcYlimitsFreq(chanrange, ylimits, amp, sideband,plotrange,xchannels,
build	18-Sep-2019 23:19:13	+                      debug=False,location=0,chanrangePercent=None):
build	18-Sep-2019 23:19:13	+    # Used by plots with xaxis='freq'
build	18-Sep-2019 23:19:13	+    # xchannels are the actual channel numbers of unflagged data, i.e. displayed points
build	18-Sep-2019 23:19:13	+    # amp is actual data plotted
build	18-Sep-2019 23:19:13	+    ylim_debug = False
build	18-Sep-2019 23:19:13	+    if (len(amp) < 1):
build	18-Sep-2019 23:19:13	+        return(pb.ylim()) # ylimits)
build	18-Sep-2019 23:19:13	+    if (chanrange[0]==0 and chanrange[1] == 0 and plotrange[2] == 0 and plotrange[3]==0
build	18-Sep-2019 23:19:13	+        and chanrangePercent == None):
build	18-Sep-2019 23:19:13	+        if (len(amp) == 1):
build	18-Sep-2019 23:19:13	+            if (ylim_debug):
build	18-Sep-2019 23:19:13	+                print("amp = %s" % (str(amp)))
build	18-Sep-2019 23:19:13	+            ylimits = [amp[0]-0.2, amp[0]+0.2]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            newmin = np.min(amp)
build	18-Sep-2019 23:19:13	+            newmax = np.max(amp)
build	18-Sep-2019 23:19:13	+            newmin = np.min([ylimits[0],newmin])
build	18-Sep-2019 23:19:13	+            newmax = np.max([ylimits[1],newmax])
build	18-Sep-2019 23:19:13	+            ylimits = [newmin, newmax]
build	18-Sep-2019 23:19:13	+    elif ((abs(chanrange[0]) > 0 or abs(chanrange[1]) > 0)):
build	18-Sep-2019 23:19:13	+        plottedChannels = np.intersect1d(xchannels, range(chanrange[0],chanrange[1]+1))
build	18-Sep-2019 23:19:13	+        if (len(plottedChannels) < 1):
build	18-Sep-2019 23:19:13	+            return(ylimits)
build	18-Sep-2019 23:19:13	+        mylist = np.arange(xchannels.index(plottedChannels[0]), 1+xchannels.index(plottedChannels[-1]))
build	18-Sep-2019 23:19:13	+        if (mylist[-1] >= len(amp)):
build	18-Sep-2019 23:19:13	+            # prevent crash if many channels are flagged
build	18-Sep-2019 23:19:13	+            return(ylimits)
build	18-Sep-2019 23:19:13	+        if (ylim_debug):
build	18-Sep-2019 23:19:13	+            print("Starting with limits = %s" % (str(ylimits)))
build	18-Sep-2019 23:19:13	+            print("Examining channels: %s" % (str(mylist)))
build	18-Sep-2019 23:19:13	+            print("len(amp): %d" % (len(amp)))
build	18-Sep-2019 23:19:13	+            print("Examining values: amp[mylist] = %s" % (str(amp[mylist])))
build	18-Sep-2019 23:19:13	+        newmin = np.min(amp[mylist])
build	18-Sep-2019 23:19:13	+        newmax = np.max(amp[mylist])
build	18-Sep-2019 23:19:13	+        newmin = np.min([ylimits[0],newmin])
build	18-Sep-2019 23:19:13	+        newmax = np.max([ylimits[1],newmax])
build	18-Sep-2019 23:19:13	+        #  The following presents a problem with overlays, as it keeps widening forever
build	18-Sep-2019 23:19:13	+# #      newmin -= 0.05*(newmax-newmin)
build	18-Sep-2019 23:19:13	+# #      newmax += 0.05*(newmax-newmin)
build	18-Sep-2019 23:19:13	+        ylimits = [newmin, newmax]
build	18-Sep-2019 23:19:13	+    elif  (chanrangePercent != None):
build	18-Sep-2019 23:19:13	+      startFraction = (100-chanrangePercent)*0.5*0.01
build	18-Sep-2019 23:19:13	+      stopFraction = 1-(100-chanrangePercent)*0.5*0.01
build	18-Sep-2019 23:19:13	+      if (xchannels == []):
build	18-Sep-2019 23:19:13	+          # prevent crash if many channels are flagged: 2015-04-13
build	18-Sep-2019 23:19:13	+          return(ylimits)
build	18-Sep-2019 23:19:13	+      cr0 = int(np.round(np.max(xchannels)*startFraction))
build	18-Sep-2019 23:19:13	+      cr1 = int(np.round(np.max(xchannels)*stopFraction))
build	18-Sep-2019 23:19:13	+      plottedChannels = np.intersect1d(xchannels, range(cr0, cr1+1))
build	18-Sep-2019 23:19:13	+      if (len(plottedChannels) < 1):
build	18-Sep-2019 23:19:13	+          return(ylimits)
build	18-Sep-2019 23:19:13	+      mylist = np.arange(xchannels.index(plottedChannels[0]), 1+xchannels.index(plottedChannels[-1]))
build	18-Sep-2019 23:19:13	+      if (mylist[-1] >= len(amp)):
build	18-Sep-2019 23:19:13	+          # prevent crash if many channels are flagged
build	18-Sep-2019 23:19:13	+          return(ylimits)
build	18-Sep-2019 23:19:13	+      if (ylim_debug):
build	18-Sep-2019 23:19:13	+          print("Starting with limits = ", ylimits)
build	18-Sep-2019 23:19:13	+          print("Examining channels: ", mylist)
build	18-Sep-2019 23:19:13	+          print("len(amp): %d" % (len(amp)))
build	18-Sep-2019 23:19:13	+          print("type(amp) = %s" % (str(type(amp))))
build	18-Sep-2019 23:19:13	+          print("Examining values: amp[mylist] = %s" % (str(amp[mylist])))
build	18-Sep-2019 23:19:13	+      newmin = np.min(amp[mylist])
build	18-Sep-2019 23:19:13	+      newmax = np.max(amp[mylist])
build	18-Sep-2019 23:19:13	+      newmin = np.min([ylimits[0],newmin])
build	18-Sep-2019 23:19:13	+      newmax = np.max([ylimits[1],newmax])
build	18-Sep-2019 23:19:13	+      ylimits = [newmin, newmax]
build	18-Sep-2019 23:19:13	+    if (ylim_debug):
build	18-Sep-2019 23:19:13	+        print("Returning with limits = %s" % (str(ylimits)))
build	18-Sep-2019 23:19:13	+    return ylimits
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def recalcYlimits(plotrange, ylimits, amp):
build	18-Sep-2019 23:19:13	+    # Used by plots with xaxis='chan'
build	18-Sep-2019 23:19:13	+    if (len(amp) < 1):
build	18-Sep-2019 23:19:13	+        return(pb.ylim())
build	18-Sep-2019 23:19:13	+    if ((abs(plotrange[0]) > 0 or abs(plotrange[1]) > 0) and (plotrange[2] == 0 and plotrange[3] == 0)):
build	18-Sep-2019 23:19:13	+        x0 = plotrange[0]
build	18-Sep-2019 23:19:13	+        x1 = plotrange[1]
build	18-Sep-2019 23:19:13	+        if (x0 < 0):
build	18-Sep-2019 23:19:13	+            x0 = 0
build	18-Sep-2019 23:19:13	+        if (x1 > len(amp)-1):
build	18-Sep-2019 23:19:13	+            x1 = len(amp)-1
build	18-Sep-2019 23:19:13	+        if (len(amp) > x1 and x0 < x1):
build	18-Sep-2019 23:19:13	+            newmin = np.min(amp[x0:x1])
build	18-Sep-2019 23:19:13	+            newmax = np.max(amp[x0:x1])
build	18-Sep-2019 23:19:13	+            newmin = np.min([ylimits[0],newmin])
build	18-Sep-2019 23:19:13	+            newmax = np.max([ylimits[1],newmax])
build	18-Sep-2019 23:19:13	+            ylimits = [newmin, newmax]
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        ylimits = pb.ylim()  # added on 10/27/2011
build	18-Sep-2019 23:19:13	+# #      print("current ylimits = ", ylimits)
build	18-Sep-2019 23:19:13	+    return(ylimits)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def SetNewYLimits(newylimits):
build	18-Sep-2019 23:19:13	+#    print("Entered SetNewYLimits with ", newylimits )
build	18-Sep-2019 23:19:13	+    newrange = newylimits[1]-newylimits[0]
build	18-Sep-2019 23:19:13	+    if (newrange > 0):
build	18-Sep-2019 23:19:13	+        pb.ylim([newylimits[0]-0.0*newrange, newylimits[1]+0.0*newrange])
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def SetNewXLimits(newxlimits, loc=0):
build	18-Sep-2019 23:19:13	+#    print("loc=%d: Entered SetNewXLimits with range = %.3f (%f-%f)" % (loc,np.max(newxlimits)-np.min(newxlimits), newxlimits[0], newxlimits[1]))
build	18-Sep-2019 23:19:13	+    myxrange = np.abs(newxlimits[1]-newxlimits[0])
build	18-Sep-2019 23:19:13	+    mybuffer = 0.01
build	18-Sep-2019 23:19:13	+    if (newxlimits[0] < newxlimits[1]):
build	18-Sep-2019 23:19:13	+        pb.xlim([newxlimits[0]-myxrange*mybuffer,newxlimits[1]+myxrange*mybuffer] )
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+#        print("Swapping xlimits order")
build	18-Sep-2019 23:19:13	+        pb.xlim(newxlimits[1]-myxrange*mybuffer, newxlimits[0]+myxrange*mybuffer)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def sloppyMatch(newvalue, mylist, threshold, mytime=None, scansToPlot=[],
build	18-Sep-2019 23:19:13	+                scansForUniqueTimes=[], myprint=False, whichone=False):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    If scan numbers are present, perform an exact match, otherwise compare the
build	18-Sep-2019 23:19:13	+    time stamps of the solutions.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    debug = myprint
build	18-Sep-2019 23:19:13	+    if (debug):
build	18-Sep-2019 23:19:13	+        print("sloppyMatch: scansToPlot = %s" % (str(scansToPlot)))
build	18-Sep-2019 23:19:13	+    mymatch = None
build	18-Sep-2019 23:19:13	+    if (len(scansToPlot) > 0):
build	18-Sep-2019 23:19:13	+        matched = scansForUniqueTimes[mytime] in scansToPlot
build	18-Sep-2019 23:19:13	+        if (whichone or myprint):
build	18-Sep-2019 23:19:13	+            myscan = scansForUniqueTimes[mytime]
build	18-Sep-2019 23:19:13	+            if (myscan in scansToPlot):
build	18-Sep-2019 23:19:13	+                mymatch = list(scansToPlot).index(myscan)
build	18-Sep-2019 23:19:13	+        if (matched == False and myprint==True):
build	18-Sep-2019 23:19:13	+            print("sloppyMatch: %d is not in %s" % (myscan, list(scansToPlot)))
build	18-Sep-2019 23:19:13	+        elif (myprint==True):
build	18-Sep-2019 23:19:13	+            print("sloppyMatch: %d is in %s" % (myscan, list(scansToPlot)))
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        matched = False
build	18-Sep-2019 23:19:13	+        if (type(mylist) != list and type(mylist)!=np.ndarray):
build	18-Sep-2019 23:19:13	+            mylist = [mylist]
build	18-Sep-2019 23:19:13	+        mymatch = -1
build	18-Sep-2019 23:19:13	+        for i in range(len(mylist)):
build	18-Sep-2019 23:19:13	+            v = mylist[i]
build	18-Sep-2019 23:19:13	+            if (abs(newvalue-v) < threshold):
build	18-Sep-2019 23:19:13	+                matched = True
build	18-Sep-2019 23:19:13	+                mymatch = i
build	18-Sep-2019 23:19:13	+        if (matched == False and myprint==True):
build	18-Sep-2019 23:19:13	+            print("sloppyMatch: %.0f is not within %.0f of anything in %s" % (newvalue,threshold, str([int(round(b)) for b in mylist])))
build	18-Sep-2019 23:19:13	+        elif (myprint==True):
build	18-Sep-2019 23:19:13	+            print("sloppyMatch: %.0f is within %.0f of something in %s" % (newvalue,threshold, str([int(round(b)) for b in mylist])))
build	18-Sep-2019 23:19:13	+    if (whichone ==  False):
build	18-Sep-2019 23:19:13	+        return(matched)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        return(matched,mymatch)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def sloppyUnique(t, thresholdSeconds):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Takes a list of numbers and returns a list of unique values, subject to a threshold difference.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    # start with the first entry, and only add a new entry if it is more than the threshold from prior
build	18-Sep-2019 23:19:13	+    sloppyList = [t[0]]
build	18-Sep-2019 23:19:13	+    for i in range(1,len(t)):
build	18-Sep-2019 23:19:13	+        keepit = True
build	18-Sep-2019 23:19:13	+        for j in range(0,i):
build	18-Sep-2019 23:19:13	+            if (abs(t[i]-t[j]) < thresholdSeconds):
build	18-Sep-2019 23:19:13	+                keepit = False
build	18-Sep-2019 23:19:13	+        if (keepit):
build	18-Sep-2019 23:19:13	+            sloppyList.append(t[i])
build	18-Sep-2019 23:19:13	+#    print("sloppyUnique returns %d values from the original %d" % (len(sloppyList), len(t)))
build	18-Sep-2019 23:19:13	+    return(sloppyList)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def SetLimits(plotrange, chanrange, newylimits, channels, frequencies, pfrequencies,
build	18-Sep-2019 23:19:13	+              ampMin, ampMax, xaxis, pxl, chanrangeSetXrange, chanrangePercent=None):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    This is the place where chanrange actually takes effect.  
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (abs(plotrange[0]) > 0 or abs(plotrange[1]) > 0):
build	18-Sep-2019 23:19:13	+        SetNewXLimits([plotrange[0],plotrange[1]])
build	18-Sep-2019 23:19:13	+        if (plotrange[2] == 0 and plotrange[3] == 0):
build	18-Sep-2019 23:19:13	+            # reset the ylimits based on the channel range shown (selected via plotrange)
build	18-Sep-2019 23:19:13	+            SetNewYLimits(newylimits)
build	18-Sep-2019 23:19:13	+    else: # set xlimits to full range
build	18-Sep-2019 23:19:13	+        if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:13	+            SetNewXLimits([channels[0],channels[-1]])
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            if (chanrangeSetXrange or (chanrange[0]==0 and chanrange[1]==0 and chanrangePercent==None)): # CAS-7965
build	18-Sep-2019 23:19:13	+                # print("SetLimits(): Setting x limits to full range (%f-%f)" % (frequencies[0], frequencies[-1]))
build	18-Sep-2019 23:19:13	+                SetNewXLimits([frequencies[0], frequencies[-1]])
build	18-Sep-2019 23:19:13	+    if (chanrange[0] != 0 or chanrange[1] != 0 or chanrangePercent != None):
build	18-Sep-2019 23:19:13	+        # reset the ylimits based on the channel range specified (selected via chanrange)
build	18-Sep-2019 23:19:13	+        if (newylimits != [LARGE_POSITIVE, LARGE_NEGATIVE]):
build	18-Sep-2019 23:19:13	+            SetNewYLimits(newylimits)
build	18-Sep-2019 23:19:13	+#        print("pxl=%d, chanrange[0]=%d, chanrange[1]=%d, shape(pfreq), shape(freq)=" % (pxl, chanrange[0], chanrange[1]), np.shape(pfrequencies),np.shape(frequencies))
build	18-Sep-2019 23:19:13	+        # Use frequencies instead of pfrequencies, because frequencies are not flagged and
build	18-Sep-2019 23:19:13	+        # will continue to work if chanranze is specified and data are flagged.
build	18-Sep-2019 23:19:13	+        if chanrangeSetXrange:
build	18-Sep-2019 23:19:13	+            if (chanrangePercent == None):
build	18-Sep-2019 23:19:13	+                try:
build	18-Sep-2019 23:19:13	+                    SetNewXLimits([frequencies[chanrange[0]], frequencies[chanrange[1]]])  # Apr 3, 2012
build	18-Sep-2019 23:19:13	+                except:
build	18-Sep-2019 23:19:13	+                    print("a)Invalid chanrange (%d-%d). Valid range = 0-%d" % (chanrange[0],chanrange[1],len(frequencies)-1))
build	18-Sep-2019 23:19:13	+                    return(-1)
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                startFraction = (100-chanrangePercent)*0.5*0.01
build	18-Sep-2019 23:19:13	+                stopFraction = 1-(100-chanrangePercent)*0.5*0.01
build	18-Sep-2019 23:19:13	+                cr0 = int(np.round(np.max(channels)*startFraction))
build	18-Sep-2019 23:19:13	+                cr1 = int(np.round(np.max(channels)*stopFraction))
build	18-Sep-2019 23:19:13	+                try:
build	18-Sep-2019 23:19:13	+                    SetNewXLimits([frequencies[cr0], frequencies[cr1]])
build	18-Sep-2019 23:19:13	+                except:
build	18-Sep-2019 23:19:13	+                    print("b)Invalid chanrange (%d-%d). Valid range = 0-%d" % (cr0,cr1,len(frequencies)-1))
build	18-Sep-2019 23:19:13	+                    return(-1)
build	18-Sep-2019 23:19:13	+    if (abs(plotrange[2]) > 0 or abs(plotrange[3]) > 0):
build	18-Sep-2019 23:19:13	+        SetNewYLimits([plotrange[2],plotrange[3]])
build	18-Sep-2019 23:19:13	+    return(0)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def showFDM(originalSpw, chanFreqGHz, baseband, showBasebandNumber, basebandDict):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Draws a horizontal bar indicating the location of FDM spws in the dataset.
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    Still need to limit based on the baseband -- need dictionary passed in.
build	18-Sep-2019 23:19:13	+    originalSpw: should contain all spws in the dataset, not just the ones
build	18-Sep-2019 23:19:13	+                in the caltable
build	18-Sep-2019 23:19:13	+    baseband: the baseband of the current spw
build	18-Sep-2019 23:19:13	+    showBasebandNumber: force the display of all FDM spws, and their baseband number
build	18-Sep-2019 23:19:13	+    basebandDict: {1:[17,19], 2:[21,23], etc.}  or {} for really old datasets  
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+    # add some space at the bottom -- Apr 25, 2012
build	18-Sep-2019 23:19:13	+    ylim = pb.ylim()
build	18-Sep-2019 23:19:13	+    yrange = ylim[1]-ylim[0]
build	18-Sep-2019 23:19:13	+    pb.ylim([ylim[0]-BOTTOM_MARGIN*yrange, ylim[1]])
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    sdebug = False
build	18-Sep-2019 23:19:13	+    if (sdebug):
build	18-Sep-2019 23:19:13	+        print("Showing FDM (%d)" % (len(originalSpw)), originalSpw)
build	18-Sep-2019 23:19:13	+        print("baseband = %d, basebandDict = %s" % (baseband, str(basebandDict)))
build	18-Sep-2019 23:19:13	+    fdmctr = -1
build	18-Sep-2019 23:19:13	+    x0,x1 = pb.xlim()
build	18-Sep-2019 23:19:13	+    y0,y1 = pb.ylim()
build	18-Sep-2019 23:19:13	+    yrange = y1 - y0
build	18-Sep-2019 23:19:13	+    myxrange = x1 - x0
build	18-Sep-2019 23:19:13	+    pb.hold(True)
build	18-Sep-2019 23:19:13	+    labelAbove = False  # False means label to the right
build	18-Sep-2019 23:19:13	+    for i in range(len(originalSpw)):
build	18-Sep-2019 23:19:13	+        nchan = len(chanFreqGHz[i])
build	18-Sep-2019 23:19:13	+        # latter 3 values are for ACA with FPS enabled
build	18-Sep-2019 23:19:13	+        if (nchan >= 15 and nchan not in [256,128,64,32,16,248,124,62]):
build	18-Sep-2019 23:19:13	+          if (originalSpw[i] in basebandDict[baseband] or showBasebandNumber):
build	18-Sep-2019 23:19:13	+            fdmctr += 1
build	18-Sep-2019 23:19:13	+            verticalOffset = fdmctr*0.04*yrange
build	18-Sep-2019 23:19:13	+            y1a = y0 + 0.03*yrange + verticalOffset
build	18-Sep-2019 23:19:13	+            if (labelAbove):
build	18-Sep-2019 23:19:13	+                y2 = y1a + 0.01*yrange
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                y2 = y1a - 0.016*yrange
build	18-Sep-2019 23:19:13	+#            print("chan=%d: Drawing line at y=%f (y0=%f) from x=%f to %f" % (len(chanFreqGHz[i]),
build	18-Sep-2019 23:19:13	+#                                              y1a,y0,chanFreqGHz[i][0], chanFreqGHz[i][-1]))
build	18-Sep-2019 23:19:13	+            f0 = chanFreqGHz[i][0]
build	18-Sep-2019 23:19:13	+            f1 = chanFreqGHz[i][-1]
build	18-Sep-2019 23:19:13	+            if (f1 < f0):
build	18-Sep-2019 23:19:13	+                swap = f1
build	18-Sep-2019 23:19:13	+                f1 = f0
build	18-Sep-2019 23:19:13	+                f0 = swap
build	18-Sep-2019 23:19:13	+            v0 = np.max([f0,x0])
build	18-Sep-2019 23:19:13	+            v1 = np.min([f1,x1])
build	18-Sep-2019 23:19:13	+            if (v1 > v0):
build	18-Sep-2019 23:19:13	+                if (labelAbove):
build	18-Sep-2019 23:19:13	+                    xlabel = 0.5*(v0+v1)
build	18-Sep-2019 23:19:13	+                    if (xlabel < x0):
build	18-Sep-2019 23:19:13	+                        xlabel = x0
build	18-Sep-2019 23:19:13	+                    if (xlabel > x1):
build	18-Sep-2019 23:19:13	+                        xlabel = x1
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    xlabel = v1+0.02*myxrange
build	18-Sep-2019 23:19:13	+                pb.plot([v0,v1], [y1a,y1a], '-',
build	18-Sep-2019 23:19:13	+                        linewidth=4, color=overlayColors[fdmctr],markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                if (showBasebandNumber):
build	18-Sep-2019 23:19:13	+                    mybaseband = [key for key in basebandDict if i in basebandDict[key]]
build	18-Sep-2019 23:19:13	+                    if (len(mybaseband) > 0):
build	18-Sep-2019 23:19:13	+                        pb.text(xlabel, y2, "spw%d(bb%d)"%(i,mybaseband[0]), size=7)
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        pb.text(xlabel, y2, "spw%d(bb?)"%(i), size=7)
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    pb.text(xlabel, y2, "spw%d"%(i), size=7)
build	18-Sep-2019 23:19:13	+                if (sdebug): print("Plotting spw %d (%d)" % (i, originalSpw[i]))
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                if (sdebug): print("Not plotting spw %d (%d) because %f < %f" % (i,originalSpw[i],v0,v1))
build	18-Sep-2019 23:19:13	+          else:
build	18-Sep-2019 23:19:13	+              if (sdebug): print("Not plotting spw %d (%d) because it is not in baseband %d (%s)" % (i,originalSpw[i],baseband,basebandDict[baseband]))
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            if (sdebug): print("Not plotting spw %d (%d) because fewer than 256 channels (%d)" % (i,originalSpw[i],nchan))
build	18-Sep-2019 23:19:13	+    if (fdmctr > -1):
build	18-Sep-2019 23:19:13	+        pb.ylim([y0,y1])
build	18-Sep-2019 23:19:13	+        pb.xlim([x0,x1])
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def DrawAtmosphere(showatm, showtsky, subplotRows, atmString, mysize,
build	18-Sep-2019 23:19:13	+                   TebbSky, plotrange, xaxis, atmchan, atmfreq, transmission,
build	18-Sep-2019 23:19:13	+                   subplotCols, lo1='', xframe=0, firstFrame=0,
build	18-Sep-2019 23:19:13	+                   showatmPoints=False, channels=[0], mylineno=-1,xant=-1,
build	18-Sep-2019 23:19:13	+                   overlaySpws=False, overlayBasebands=False, drewAtmosphere=False):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Draws atmospheric transmission or Tsky on an amplitude vs. chan or freq plot.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    xlim = pb.xlim()
build	18-Sep-2019 23:19:13	+    ylim = pb.ylim()
build	18-Sep-2019 23:19:13	+    myxrange = xlim[1]-xlim[0]
build	18-Sep-2019 23:19:13	+    yrange = ylim[1]-ylim[0]
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (not drewAtmosphere and not overlayBasebands):  # CAS-8489 final
build	18-Sep-2019 23:19:13	+        if (lo1 == ''):
build	18-Sep-2019 23:19:13	+            # add some space at the top -- Apr 16, 2012
build	18-Sep-2019 23:19:13	+            pb.ylim([ylim[0], ylim[1]+TOP_MARGIN*yrange])
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            pb.ylim([ylim[0], ylim[1]+TOP_MARGIN*yrange*0.5])
build	18-Sep-2019 23:19:13	+        ylim = pb.ylim()
build	18-Sep-2019 23:19:13	+    yrange = ylim[1]-ylim[0]
build	18-Sep-2019 23:19:13	+    #
build	18-Sep-2019 23:19:13	+    ystartPolLabel = 1.0-0.04*subplotRows
build	18-Sep-2019 23:19:13	+    if (lo1 == ''):
build	18-Sep-2019 23:19:13	+        transmissionColor = 'm'
build	18-Sep-2019 23:19:13	+        tskyColor = 'm'
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        transmissionColor = 'k'
build	18-Sep-2019 23:19:13	+        tskyColor = 'k'
build	18-Sep-2019 23:19:13	+    if (showatmPoints):
build	18-Sep-2019 23:19:13	+        atmline = '.'
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        atmline = '-'
build	18-Sep-2019 23:19:13	+    if (showatm or showtsky):
build	18-Sep-2019 23:19:13	+        if (showatm):
build	18-Sep-2019 23:19:13	+            atmcolor = transmissionColor
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            atmcolor = tskyColor
build	18-Sep-2019 23:19:13	+        if (lo1 == '' and not drewAtmosphere):
build	18-Sep-2019 23:19:13	+            pb.text(0.25, ystartPolLabel, atmString, color=atmcolor, size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+        if (showtsky):
build	18-Sep-2019 23:19:13	+            rescaledY, edgeYvalue, zeroValue, zeroYValue, otherEdgeYvalue, edgeT, otherEdgeT, edgeValueAmplitude, otherEdgeValueAmplitude, zeroValueAmplitude = RescaleTrans(TebbSky, ylim, subplotRows, lo1, xframe)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            rescaledY, edgeYvalue, zeroValue, zeroYValue, otherEdgeYvalue, edgeT, otherEdgeT, edgeValueAmplitude, otherEdgeValueAmplitude, zeroValueAmplitude = RescaleTrans(transmission, ylim, subplotRows, lo1, xframe)
build	18-Sep-2019 23:19:13	+        if (overlayBasebands and xaxis.find('freq')>=0):
build	18-Sep-2019 23:19:13	+            # use axis coordinates for y-axis only so that transmission can be on common scale
build	18-Sep-2019 23:19:13	+            trans = matplotlib.transforms.blended_transform_factory(pb.gca().transData, pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+            if showtsky:
build	18-Sep-2019 23:19:13	+                pb.plot(atmfreq, TebbSky/300., '%s%s'%(atmcolor,atmline),
build	18-Sep-2019 23:19:13	+                        markeredgewidth=markeredgewidth, transform=trans)
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                pb.plot(atmfreq, transmission, '%s%s'%(atmcolor,atmline),
build	18-Sep-2019 23:19:13	+                        markeredgewidth=markeredgewidth, transform=trans)
build	18-Sep-2019 23:19:13	+            if (atmfreq[0]<atmfreq[1]):
build	18-Sep-2019 23:19:13	+                tindex = -1
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                tindex = 0
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            # use user coordinates
build	18-Sep-2019 23:19:13	+            if (xaxis.find('chan')>=0):
build	18-Sep-2019 23:19:13	+                rescaledX = RescaleX(atmchan, xlim, plotrange, channels)
build	18-Sep-2019 23:19:13	+    #            rescaledX = atmchan  
build	18-Sep-2019 23:19:13	+                pb.plot(rescaledX, rescaledY,'%s%s'%(atmcolor,atmline),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                tindex = -1
build	18-Sep-2019 23:19:13	+            elif (xaxis.find('freq')>=0):
build	18-Sep-2019 23:19:13	+                pb.plot(atmfreq, rescaledY, '%s%s'%(atmcolor,atmline),markeredgewidth=markeredgewidth)
build	18-Sep-2019 23:19:13	+                if (atmfreq[0]<atmfreq[1]):
build	18-Sep-2019 23:19:13	+                    tindex = -1
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    tindex = 0
build	18-Sep-2019 23:19:13	+        if (lo1 == ''):
build	18-Sep-2019 23:19:13	+            xEdgeLabel = 1.01
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            if (xframe == firstFrame):
build	18-Sep-2019 23:19:13	+                xEdgeLabel = -0.10*subplotCols # avoids overwriting y-axis label
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                xEdgeLabel = -0.10*subplotCols
build	18-Sep-2019 23:19:13	+        SetNewXLimits(xlim)  # necessary for zoom='intersect'
build	18-Sep-2019 23:19:13	+        if (not overlayBasebands):   # CAS-8489 final
build	18-Sep-2019 23:19:13	+            SetNewYLimits(ylim)
build	18-Sep-2019 23:19:13	+        # Now draw the percentage on right edge of plot
build	18-Sep-2019 23:19:13	+        if (not drewAtmosphere):
build	18-Sep-2019 23:19:13	+            if (overlayBasebands and xaxis.find('freq')>=0):   # CAS-8489 final
build	18-Sep-2019 23:19:13	+                trans = matplotlib.transforms.blended_transform_factory(pb.gca().transData, pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                zeroValue = 0
build	18-Sep-2019 23:19:13	+                zeroValueAmplitude = 0
build	18-Sep-2019 23:19:13	+                edgeValueAmplitude = 1
build	18-Sep-2019 23:19:13	+                if (showtsky):
build	18-Sep-2019 23:19:13	+                    edgeT = 300
build	18-Sep-2019 23:19:13	+                    if (lo1 == ''):
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.06*myxrange/subplotCols, edgeValueAmplitude,
build	18-Sep-2019 23:19:13	+                                '%.0fK'%(edgeT), color=atmcolor, size=mysize, transform=trans)
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.06*myxrange/subplotCols, zeroValueAmplitude,
build	18-Sep-2019 23:19:13	+                                '%.0fK'%(zeroValue), color=atmcolor, transform=trans,
build	18-Sep-2019 23:19:13	+                                size=mysize)
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, edgeValueAmplitude,'%.0fK'%(edgeT),
build	18-Sep-2019 23:19:13	+                                color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, zeroValueAmplitude,'%.0fK'%(zeroValue),
build	18-Sep-2019 23:19:13	+                                color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    # showatm=True
build	18-Sep-2019 23:19:13	+                    edgeT = 1
build	18-Sep-2019 23:19:13	+                    if (lo1 == ''):
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.05*myxrange/subplotCols, edgeValueAmplitude, 
build	18-Sep-2019 23:19:13	+                                '%.0f%%'%(edgeT*100), color=atmcolor, size=mysize, 
build	18-Sep-2019 23:19:13	+                                transform=trans, va='center')
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.05*myxrange/subplotCols, zeroValueAmplitude,
build	18-Sep-2019 23:19:13	+                                '%.0f%%'%(zeroValue*100), color=atmcolor, transform=trans,
build	18-Sep-2019 23:19:13	+                                size=mysize, va='center')
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, edgeValueAmplitude,'%.0f%%'%(edgeT*100),
build	18-Sep-2019 23:19:13	+                                color=atmcolor, va='center',
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, zeroValueAmplitude,'%.0f%%'%(zeroValue*100),
build	18-Sep-2019 23:19:13	+                                color=atmcolor, va='center',
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                if (showtsky):
build	18-Sep-2019 23:19:13	+                    if (lo1 == ''):
build	18-Sep-2019 23:19:13	+                        # This must be done in user coordinates since another curve
build	18-Sep-2019 23:19:13	+                        # is plotted following this one.
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.06*myxrange/subplotCols, edgeValueAmplitude,
build	18-Sep-2019 23:19:13	+                                '%.0fK'%(edgeT), color=atmcolor, size=mysize)
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.06*myxrange/subplotCols, zeroValueAmplitude,
build	18-Sep-2019 23:19:13	+                                '%.0fK'%(zeroValue), color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize)
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        # This can remain in axes units since it is the final plot.
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, otherEdgeYvalue,'%.0fK'%(otherEdgeT),
build	18-Sep-2019 23:19:13	+                                color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, zeroYValue,'%.0fK'%(zeroValue),
build	18-Sep-2019 23:19:13	+                                color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    # showatm=True
build	18-Sep-2019 23:19:13	+                    if (lo1 == ''):
build	18-Sep-2019 23:19:13	+                        # This must be done in user coordinates since another curve
build	18-Sep-2019 23:19:13	+                        # is plotted following this one.
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.05*myxrange/subplotCols, edgeValueAmplitude,
build	18-Sep-2019 23:19:13	+                                '%.0f%%'%(edgeT*100), color=atmcolor, size=mysize)
build	18-Sep-2019 23:19:13	+                        pb.text(xlim[1]+0.05*myxrange/subplotCols, zeroValueAmplitude,
build	18-Sep-2019 23:19:13	+                                '%.0f%%'%(zeroValue*100), color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize)
build	18-Sep-2019 23:19:13	+                    else:
build	18-Sep-2019 23:19:13	+                        # This can remain in axes units since it is the final plot.
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, otherEdgeYvalue,'%.0f%%'%(otherEdgeT*100),
build	18-Sep-2019 23:19:13	+                                color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                        pb.text(xEdgeLabel, zeroYValue,'%.0f%%'%(zeroValue*100),
build	18-Sep-2019 23:19:13	+                                color=atmcolor,
build	18-Sep-2019 23:19:13	+                                size=mysize, transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+        if (lo1 != ''):
build	18-Sep-2019 23:19:13	+            if (xframe == firstFrame):
build	18-Sep-2019 23:19:13	+                pb.text(+0.96-0.08*subplotCols, -0.07*subplotRows,
build	18-Sep-2019 23:19:13	+                        'Signal Sideband', color='m', size=mysize,
build	18-Sep-2019 23:19:13	+                        transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+                pb.text(-0.08*subplotCols, -0.07*subplotRows,
build	18-Sep-2019 23:19:13	+                        'Image Sideband', color='k', size=mysize,
build	18-Sep-2019 23:19:13	+                        transform=pb.gca().transAxes)
build	18-Sep-2019 23:19:13	+    return ylim # CAS-8655
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def DrawBottomLegendPageCoords(msName, uniqueTimesMytime, mysize, figfile):
build	18-Sep-2019 23:19:13	+    msName = msName.split('/')[-1]
build	18-Sep-2019 23:19:13	+    bottomLegend = msName + '  ObsDate=' + utdatestring(uniqueTimesMytime)
build	18-Sep-2019 23:19:13	+    if (os.path.basename(figfile).find('regression') == 0):
build	18-Sep-2019 23:19:13	+        regression = True
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        regression = False
build	18-Sep-2019 23:19:13	+    if (regression == False):
build	18-Sep-2019 23:19:13	+        bottomLegend += '   plotbandpass v' \
build	18-Sep-2019 23:19:13	+                  + PLOTBANDPASS_REVISION_STRING.split()[2] + ' = ' \
build	18-Sep-2019 23:19:13	+                  + PLOTBANDPASS_REVISION_STRING.split()[3] + ' ' \
build	18-Sep-2019 23:19:13	+                  + PLOTBANDPASS_REVISION_STRING.split()[4]
build	18-Sep-2019 23:19:13	+#    The following should be used going forward, as it is better for long VLA names        
build	18-Sep-2019 23:19:13	+    pb.text(0.04, 0.02, bottomLegend, size=mysize, transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+#    pb.text(0.1, 0.02, bottomLegend, size=mysize, transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def DrawAntennaNames(msAnt, antennasToPlot, msFound, mysize):
build	18-Sep-2019 23:19:13	+    for a in range(len(antennasToPlot)):
build	18-Sep-2019 23:19:13	+        if (msFound):
build	18-Sep-2019 23:19:13	+            legendString = msAnt[antennasToPlot[a]]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            legendString = str(antennasToPlot[a])
build	18-Sep-2019 23:19:13	+        if (a<maxAntennaNamesAcrossTheTop):
build	18-Sep-2019 23:19:13	+            x0 = xstartTitle+(a*antennaHorizontalSpacing)
build	18-Sep-2019 23:19:13	+            y0 = ystartOverlayLegend
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            # start going down the righthand side
build	18-Sep-2019 23:19:13	+            x0 = xstartTitle+(maxAntennaNamesAcrossTheTop*antennaHorizontalSpacing)
build	18-Sep-2019 23:19:13	+            y0 = ystartOverlayLegend-(a-maxAntennaNamesAcrossTheTop)*antennaVerticalSpacing
build	18-Sep-2019 23:19:13	+        pb.text(x0, y0, legendString,color=overlayColors[a],fontsize=mysize,
build	18-Sep-2019 23:19:13	+                transform=pb.gcf().transFigure)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def stdInfo(a, sigma=3, edge=0, spw=-1, xant=-1, pol=-1):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Computes the standard deviation of a list, then returns the value, plus the
build	18-Sep-2019 23:19:13	+    number and list of channels that exceed sigma*std, and the worst outlier.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    info = {}
build	18-Sep-2019 23:19:13	+    if (edge >= len(a)/2):  # protect against too large of an edge value
build	18-Sep-2019 23:19:13	+        originalEdge = edge
build	18-Sep-2019 23:19:13	+        if (len(a) == 2*(len(a)/2)):
build	18-Sep-2019 23:19:13	+            edge = len(a)/2 - 1 # use middle 2 points
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            edge = len(a)/2  # use central point
build	18-Sep-2019 23:19:13	+        if (edge < 0):
build	18-Sep-2019 23:19:13	+            edge = 0
build	18-Sep-2019 23:19:13	+        print("stdInfo: WARNING edge value is too large for spw%d xant%d pol%d, reducing it from %d to %d." % (spw, xant, pol, originalEdge, edge))
build	18-Sep-2019 23:19:13	+    info['std'] = np.std(a[edge:len(a)-edge])
build	18-Sep-2019 23:19:13	+    chan = []
build	18-Sep-2019 23:19:13	+    outlierValue = 0
build	18-Sep-2019 23:19:13	+    outlierChannel = None
build	18-Sep-2019 23:19:13	+    for i in range(edge,len(a)-edge):
build	18-Sep-2019 23:19:13	+        if (np.abs(a[i]) > sigma*info['std']):
build	18-Sep-2019 23:19:13	+            chan.append(i)
build	18-Sep-2019 23:19:13	+        if (np.abs(a[i]) > np.abs(outlierValue)):
build	18-Sep-2019 23:19:13	+            outlierValue = a[i]
build	18-Sep-2019 23:19:13	+            outlierChannel = i
build	18-Sep-2019 23:19:13	+    info['nchan'] = len(chan)
build	18-Sep-2019 23:19:13	+    info['chan'] = chan
build	18-Sep-2019 23:19:13	+    info['outlierValue'] = outlierValue/info['std']
build	18-Sep-2019 23:19:13	+    info['outlierChannel'] = outlierChannel
build	18-Sep-2019 23:19:13	+    return(info)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def madInfo(a, madsigma=3, edge=0):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Computes the MAD of a list, then returns the value, plus the number and list
build	18-Sep-2019 23:19:13	+    of channels that exceed madsigma*MAD, and the worst outlier.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    info = {}
build	18-Sep-2019 23:19:13	+    if (edge >= len(a)/2):  # protect against too large of an edge value
build	18-Sep-2019 23:19:13	+        originalEdge = edge
build	18-Sep-2019 23:19:13	+        if (len(a) == 2*(len(a)/2)):
build	18-Sep-2019 23:19:13	+            edge = len(a)/2 - 1 # use middle 2 points
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            edge = len(a)/2  # use central point
build	18-Sep-2019 23:19:13	+        print("WARNING edge value is too large, reducing it from %d to %d." % (originalEdge, edge))
build	18-Sep-2019 23:19:13	+    info['mad'] = mad(a[edge:len(a)-edge])
build	18-Sep-2019 23:19:13	+    chan = []
build	18-Sep-2019 23:19:13	+    outlierValue = 0
build	18-Sep-2019 23:19:13	+    outlierChannel = None
build	18-Sep-2019 23:19:13	+    for i in range(edge,len(a)-edge):
build	18-Sep-2019 23:19:13	+        if (np.abs(a[i]) > madsigma*info['mad']):
build	18-Sep-2019 23:19:13	+            chan.append(i)
build	18-Sep-2019 23:19:13	+        if (np.abs(a[i]) > np.abs(outlierValue)):
build	18-Sep-2019 23:19:13	+            outlierValue = a[i]
build	18-Sep-2019 23:19:13	+            outlierChannel = i
build	18-Sep-2019 23:19:13	+    info['nchan'] = len(chan)
build	18-Sep-2019 23:19:13	+    info['chan'] = chan
build	18-Sep-2019 23:19:13	+    info['outlierValue'] = outlierValue/info['mad']
build	18-Sep-2019 23:19:13	+    info['outlierChannel'] = outlierChannel
build	18-Sep-2019 23:19:13	+    return(info)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def platformingCheck(a, threshold=DEFAULT_PLATFORMING_THRESHOLD):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Checks for values outside the range of +-threshold.
build	18-Sep-2019 23:19:13	+    Meant to be passed an amplitude spectrum.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    info = {}
build	18-Sep-2019 23:19:13	+    startChan = len(a)/32. - 1
build	18-Sep-2019 23:19:13	+    endChan = len(a)*31/32. + 1
build	18-Sep-2019 23:19:13	+#    print("Checking channels %d-%d for platforming" % (startChan,endChan))
build	18-Sep-2019 23:19:13	+    if (startChan <= 0 or endChan >= len(a)):
build	18-Sep-2019 23:19:13	+        return
build	18-Sep-2019 23:19:13	+    middleChan = (startChan+endChan)/2
build	18-Sep-2019 23:19:13	+    channelRange1 = range(startChan,middleChan+1)
build	18-Sep-2019 23:19:13	+    channelRange2 = range(endChan,middleChan,-1)
build	18-Sep-2019 23:19:13	+    platforming = False
build	18-Sep-2019 23:19:13	+    awayFromEdge = False
build	18-Sep-2019 23:19:13	+    for i in channelRange1:
build	18-Sep-2019 23:19:13	+        if (np.abs(a[i]) > threshold):
build	18-Sep-2019 23:19:13	+            if (awayFromEdge):
build	18-Sep-2019 23:19:13	+#                print("a[%d]=%f" % (i,a[i]))
build	18-Sep-2019 23:19:13	+                platforming = True
build	18-Sep-2019 23:19:13	+                return(platforming)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            awayFromEdge = True
build	18-Sep-2019 23:19:13	+    awayFromEdge = False
build	18-Sep-2019 23:19:13	+    for i in channelRange2:
build	18-Sep-2019 23:19:13	+        if (np.abs(a[i]) > threshold):
build	18-Sep-2019 23:19:13	+            if (awayFromEdge):
build	18-Sep-2019 23:19:13	+                platforming = True
build	18-Sep-2019 23:19:13	+                return(platforming)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            awayFromEdge = True
build	18-Sep-2019 23:19:13	+    return(platforming)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def mad(a, c=0.6745, axis=0):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Median Absolute Deviation along given axis of an array:
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    median(abs(a - median(a))) / c
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    c = 0.6745 is the constant to convert from MAD to std; it is used by
build	18-Sep-2019 23:19:13	+    default
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    a = np.array(a)
build	18-Sep-2019 23:19:13	+    good = (a==a)
build	18-Sep-2019 23:19:13	+    a = np.asarray(a, np.float64)
build	18-Sep-2019 23:19:13	+    if a.ndim == 1:
build	18-Sep-2019 23:19:13	+        d = np.median(a[good])
build	18-Sep-2019 23:19:13	+        m = np.median(np.fabs(a[good] - d) / c)
build	18-Sep-2019 23:19:13	+#        print( "mad = %f" % (m))
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        d = np.median(a[good], axis=axis)
build	18-Sep-2019 23:19:13	+        # I don't want the array to change so I have to copy it?
build	18-Sep-2019 23:19:13	+        if axis > 0:
build	18-Sep-2019 23:19:13	+            aswp = swapaxes(a[good],0,axis)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            aswp = a[good]
build	18-Sep-2019 23:19:13	+        m = np.median(np.fabs(aswp - d) / c, axis=0)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    return m
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def callFrequencyRangeForSpws(mymsmd, spwlist, vm, caltable=None):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Returns the min and max frequency of a list of spws.
build	18-Sep-2019 23:19:13	+    Uses msmd, unless the ms is not found, in which case it uses
build	18-Sep-2019 23:19:13	+    the spw information inside the (new-style) cal-table.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (mymsmd != '' and cu.compare_version('>=',[4,1,0])):
build	18-Sep-2019 23:19:13	+        return(frequencyRangeForSpws(mymsmd,spwlist))
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        freqs = []
build	18-Sep-2019 23:19:13	+        if (type(vm) != str):
build	18-Sep-2019 23:19:13	+            for spw in spwlist:
build	18-Sep-2019 23:19:13	+                freqs += list(vm.spwInfo[spw]["chanFreqs"])
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+            try:
build	18-Sep-2019 23:19:13	+                mytb.open(caltable+'/SPECTRAL_WINDOW')
build	18-Sep-2019 23:19:13	+                chanfreq = []
build	18-Sep-2019 23:19:13	+                if (len(spwlist) == 0): # CAS-8489b
build	18-Sep-2019 23:19:13	+                    originalSpws = range(len(mytb.getcol('MEAS_FREQ_REF')))
build	18-Sep-2019 23:19:13	+                    spwlist = originalSpws
build	18-Sep-2019 23:19:13	+                for i in spwlist:  # CAS-8489b
build	18-Sep-2019 23:19:13	+                    # The array shapes can vary.
build	18-Sep-2019 23:19:13	+                    chanfreq.append(mytb.getcell('CHAN_FREQ',i))
build	18-Sep-2019 23:19:13	+                for cf in chanfreq:
build	18-Sep-2019 23:19:13	+                    freqs += list(cf)
build	18-Sep-2019 23:19:13	+                mytb.close()
build	18-Sep-2019 23:19:13	+            except:
build	18-Sep-2019 23:19:13	+                mytb.done()
build	18-Sep-2019 23:19:13	+        if (freqs == []):
build	18-Sep-2019 23:19:13	+            return(0,0)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            return(np.min(freqs)*1e-9, np.max(freqs)*1e-9)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def frequencyRangeForSpws(mymsmd, spwlist):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Returns the min and max frequency of a list of spws.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    allfreqs = []
build	18-Sep-2019 23:19:13	+    for spw in spwlist:
build	18-Sep-2019 23:19:13	+        allfreqs += list(mymsmd.chanfreqs(spw))
build	18-Sep-2019 23:19:13	+    if (len(allfreqs) == 0):
build	18-Sep-2019 23:19:13	+        return(0,0)
build	18-Sep-2019 23:19:13	+    return(np.min(allfreqs)*1e-9, np.max(allfreqs)*1e-9)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def buildSpwString(overlaySpws, overlayBasebands, spwsToPlot, ispw, originalSpw,
build	18-Sep-2019 23:19:13	+                   observatoryName, baseband, showBasebandNumber):
build	18-Sep-2019 23:19:13	+    if (overlayBasebands):
build	18-Sep-2019 23:19:13	+        spwString = ' all'
build	18-Sep-2019 23:19:13	+    elif (overlaySpws and len(spwsToPlot)>1):
build	18-Sep-2019 23:19:13	+        if (observatoryName.find('ALMA') >= 0 or observatoryName.find('ACA') >= 0):
build	18-Sep-2019 23:19:13	+            # show a list of all spws
build	18-Sep-2019 23:19:13	+            spwString = str(spwsToPlot).replace(' ','').strip('[').strip(']')
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            # show the range of spw numbers
build	18-Sep-2019 23:19:13	+            spwString = '%2d-%2d' % (np.min(spwsToPlot),np.max(spwsToPlot))
build	18-Sep-2019 23:19:13	+    elif (ispw==originalSpw):
build	18-Sep-2019 23:19:13	+        spwString = '%2d' % (ispw)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        spwString = '%2d (%d)' % (ispw,originalSpw)
build	18-Sep-2019 23:19:13	+    if (overlayBasebands==False):
build	18-Sep-2019 23:19:13	+        spwString = appendBasebandNumber(spwString, baseband, showBasebandNumber)
build	18-Sep-2019 23:19:13	+    return(spwString)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def appendBasebandNumber(spwString, baseband, showBasebandNumber):
build	18-Sep-2019 23:19:13	+    if (showBasebandNumber):
build	18-Sep-2019 23:19:13	+        spwString += ', bb%d' % (baseband)
build	18-Sep-2019 23:19:13	+    return(spwString)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getSpwsForBaseband(vis, bb, mymsmd=None):
build	18-Sep-2019 23:19:13	+        needToClose = False
build	18-Sep-2019 23:19:13	+#    if (casadef.subversion_revision >= 25753):
build	18-Sep-2019 23:19:13	+        if (mymsmd is None or mymsmd == ''):
build	18-Sep-2019 23:19:13	+            needToClose = True
build	18-Sep-2019 23:19:13	+            mymsmd = createCasaTool(msmdtool)
build	18-Sep-2019 23:19:13	+            mymsmd.open(vis)
build	18-Sep-2019 23:19:13	+        s = mymsmd.spwsforbaseband(bb)
build	18-Sep-2019 23:19:13	+        if needToClose:
build	18-Sep-2019 23:19:13	+            mymsmd.close()
build	18-Sep-2019 23:19:13	+        return(s)
build	18-Sep-2019 23:19:13	+#    else:
build	18-Sep-2019 23:19:13	+#        return(getBasebandDict(vis,caltable=caltable,mymsmd=mymsmd))
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+def getBasebandDict(vis=None, spwlist=[], caltable=None, mymsmd=None):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Builds a dictionary with baseband numbers as the keys and the
build	18-Sep-2019 23:19:13	+    associated spws as the values.  The optional parameter spwlist can
build	18-Sep-2019 23:19:13	+    be used to restrict the contents of the dictionary.
build	18-Sep-2019 23:19:13	+    Note: This is obsoleted by msmd.spwsforbaseband(-1)
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    bbdict = {}
build	18-Sep-2019 23:19:13	+    if (vis != None):
build	18-Sep-2019 23:19:13	+        if (os.path.exists(vis)):
build	18-Sep-2019 23:19:13	+            bbs = getBasebandNumbers(vis)
build	18-Sep-2019 23:19:13	+        elif (caltable != None):
build	18-Sep-2019 23:19:13	+            bbs = getBasebandNumbersFromCaltable(caltable)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            print("Must specify either vis or caltable")
build	18-Sep-2019 23:19:13	+            return
build	18-Sep-2019 23:19:13	+    elif (caltable != None):
build	18-Sep-2019 23:19:13	+        bbs = getBasebandNumbersFromCaltable(caltable)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        print("Must specify either vis or caltable")
build	18-Sep-2019 23:19:13	+        return
build	18-Sep-2019 23:19:13	+    if (type(bbs) == int):  # old datasets will bomb on msmd.baseband()
build	18-Sep-2019 23:19:13	+        return(bbdict)
build	18-Sep-2019 23:19:13	+    if (cu.compare_version('>=',[4,1,0]) and vis != None):
build	18-Sep-2019 23:19:13	+        if (os.path.exists(vis)):
build	18-Sep-2019 23:19:13	+            needToClose = False
build	18-Sep-2019 23:19:13	+            if mymsmd is None or mymsmd == '':
build	18-Sep-2019 23:19:13	+                needToClose = True
build	18-Sep-2019 23:19:13	+                mymsmd = createCasaTool(msmdtool)
build	18-Sep-2019 23:19:13	+                mymsmd.open(vis)
build	18-Sep-2019 23:19:13	+            if (spwlist == []):
build	18-Sep-2019 23:19:13	+                nspws = mymsmd.nspw()
build	18-Sep-2019 23:19:13	+                spwlist = range(nspws)
build	18-Sep-2019 23:19:13	+            for spw in spwlist:
build	18-Sep-2019 23:19:13	+                bbc_no = mymsmd.baseband(spw)
build	18-Sep-2019 23:19:13	+                if (bbc_no not in bbdict.keys()):
build	18-Sep-2019 23:19:13	+                    bbdict[bbc_no] = [spw]
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    bbdict[bbc_no].append(spw)
build	18-Sep-2019 23:19:13	+            if needToClose:
build	18-Sep-2019 23:19:13	+                mymsmd.close()
build	18-Sep-2019 23:19:13	+    if (bbdict == {}):
build	18-Sep-2019 23:19:13	+        # read from spw table
build	18-Sep-2019 23:19:13	+        ubbs = np.unique(bbs)
build	18-Sep-2019 23:19:13	+        for bb in ubbs:
build	18-Sep-2019 23:19:13	+            bbdict[bb] = []
build	18-Sep-2019 23:19:13	+        for i in range(len(bbs)):
build	18-Sep-2019 23:19:13	+            bbdict[bbs[i]].append(i)
build	18-Sep-2019 23:19:13	+    return(bbdict)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getBasebandNumbersFromCaltable(caltable) :
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Returns the baseband numbers associated with each spw in 
build	18-Sep-2019 23:19:13	+    the specified caltable.
build	18-Sep-2019 23:19:13	+    Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (os.path.exists(caltable) == False):
build	18-Sep-2019 23:19:13	+        print("getBasebandNumbersFromCaltable(): caltable set not found")
build	18-Sep-2019 23:19:13	+        return -1
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    mytb.open(caltable)
build	18-Sep-2019 23:19:13	+    spectralWindowTable = mytb.getkeyword('SPECTRAL_WINDOW').split()[1]
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    mytb.open(spectralWindowTable)
build	18-Sep-2019 23:19:13	+    if ("BBC_NO" in mytb.colnames()):
build	18-Sep-2019 23:19:13	+        bbNums = mytb.getcol("BBC_NO")
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        # until CAS-6853 is solved, need to get it from the name
build	18-Sep-2019 23:19:13	+#        print("BBC_NO not in colnames (CAS-6853).  Using NAME column.")
build	18-Sep-2019 23:19:13	+        names = mytb.getcol('NAME')
build	18-Sep-2019 23:19:13	+        bbNums = []
build	18-Sep-2019 23:19:13	+        trivial = True
build	18-Sep-2019 23:19:13	+        for name in names:
build	18-Sep-2019 23:19:13	+            if (name.find('#BB_') > 0):
build	18-Sep-2019 23:19:13	+                bbNums.append(int(name.split('#BB_')[1].split('#')[0]))
build	18-Sep-2019 23:19:13	+                trivial = False
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                bbNums.append(-1)
build	18-Sep-2019 23:19:13	+        if (trivial): bbNums = -1
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    return bbNums
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def createCasaTool(mytool):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    A wrapper to handle the changing ways in which casa tools are invoked.
build	18-Sep-2019 23:19:13	+    Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (type(casac.Quantity) != type):  # casa 4.x
build	18-Sep-2019 23:19:13	+        myt = mytool()
build	18-Sep-2019 23:19:13	+    else:  # casa 3.x
build	18-Sep-2019 23:19:13	+        myt = mytool.create()
build	18-Sep-2019 23:19:13	+    return(myt)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getLOs(inputMs, verbose=True):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Reads the LO information from an ms's ASDM_RECEIVER table.  It returns
build	18-Sep-2019 23:19:13	+    a list of 7 lists: [freqLO,band,spws,names,sidebands,receiverIDs,spwnames]
build	18-Sep-2019 23:19:13	+    The logic for converting this raw list into sensible association with
build	18-Sep-2019 23:19:13	+    spw numbers is in printLOs().  These lists are longer than the true number 
build	18-Sep-2019 23:19:13	+    of spws by Nantennas-1 due to the extra WVR spws.
build	18-Sep-2019 23:19:13	+    -Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (os.path.exists(inputMs)):
build	18-Sep-2019 23:19:13	+        mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+        if (os.path.exists("%s/ASDM_RECEIVER" % inputMs)):
build	18-Sep-2019 23:19:13	+            try:
build	18-Sep-2019 23:19:13	+                mytb.open("%s/ASDM_RECEIVER" % inputMs)
build	18-Sep-2019 23:19:13	+            except:
build	18-Sep-2019 23:19:13	+                print("Could not open the existing ASDM_RECEIVER table")
build	18-Sep-2019 23:19:13	+                mytb.close()
build	18-Sep-2019 23:19:13	+                return([])
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            if (os.path.exists(inputMs+'/ASDMBinary')):
build	18-Sep-2019 23:19:13	+                print("This is an ASDM, not an ms!  Use printLOsFromASDM.")
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                if (verbose):
build	18-Sep-2019 23:19:13	+                    print("The ASDM_RECEIVER table for this ms does not exist.")
build	18-Sep-2019 23:19:13	+            mytb.close()
build	18-Sep-2019 23:19:13	+            return([])
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        print("This ms does not exist = %s." % (inputMs))
build	18-Sep-2019 23:19:13	+        return([])
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+    numLO = mytb.getcol('numLO')
build	18-Sep-2019 23:19:13	+    freqLO = []
build	18-Sep-2019 23:19:13	+    band = []
build	18-Sep-2019 23:19:13	+    spws = []
build	18-Sep-2019 23:19:13	+    names = []
build	18-Sep-2019 23:19:13	+    sidebands = []
build	18-Sep-2019 23:19:13	+    receiverIds = []
build	18-Sep-2019 23:19:13	+    for i in range(len(numLO)):
build	18-Sep-2019 23:19:13	+        spw = int((mytb.getcell('spectralWindowId',i).split('_')[1]))
build	18-Sep-2019 23:19:13	+        if (spw not in spws):
build	18-Sep-2019 23:19:13	+            spws.append(spw)
build	18-Sep-2019 23:19:13	+            freqLO.append(mytb.getcell('freqLO',i))
build	18-Sep-2019 23:19:13	+            band.append(mytb.getcell('frequencyBand',i))
build	18-Sep-2019 23:19:13	+            names.append(mytb.getcell('name',i))
build	18-Sep-2019 23:19:13	+            sidebands.append(mytb.getcell('sidebandLO',i))
build	18-Sep-2019 23:19:13	+            receiverIds.append(int(mytb.getcell('receiverId',i)))
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    mytb.open("%s/SPECTRAL_WINDOW" % inputMs)
build	18-Sep-2019 23:19:13	+    spwNames = mytb.getcol("NAME")
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    return([freqLO,band,spws,names,sidebands,receiverIds,spwNames])
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def readPWVFromASDM_CALATMOSPHERE(vis):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Reads the PWV via the water column of the ASDM_CALATMOSPHERE table.
build	18-Sep-2019 23:19:13	+    - Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    mytb.open("%s/ASDM_CALATMOSPHERE" % vis)
build	18-Sep-2019 23:19:13	+    pwvtime = mytb.getcol('startValidTime')  # mjdsec
build	18-Sep-2019 23:19:13	+    antenna = mytb.getcol('antennaName')
build	18-Sep-2019 23:19:13	+    pwv = mytb.getcol('water')[0]  # There seem to be 2 identical entries per row, so take first one.
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    return(pwvtime, antenna, pwv)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def getMedianPWV(vis='.', myTimes=[0,999999999999], asdm='', verbose=False):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Extracts the PWV measurements from the WVR on all antennas for the
build	18-Sep-2019 23:19:13	+    specified time range.  The time range is input as a two-element list of
build	18-Sep-2019 23:19:13	+    MJD seconds (default = all times).  First, it tries to find the ASDM_CALWVR
build	18-Sep-2019 23:19:13	+    table in the ms.  If that fails, it then tries to find CalWVR.xml in the
build	18-Sep-2019 23:19:13	+    specified ASDM, or failing that, an ASDM of the same name (-.ms).  If neither of 
build	18-Sep-2019 23:19:13	+    these exist, then it tries to find CalWVR.xml in the present working directory.
build	18-Sep-2019 23:19:13	+    If it still fails, it looks for CalWVR.xml in the .ms directory.  Thus,
build	18-Sep-2019 23:19:13	+    you only need to copy this xml file from the ASDM into your ms, rather
build	18-Sep-2019 23:19:13	+    than the entire ASDM. Returns the median and standard deviation in millimeters.
build	18-Sep-2019 23:19:13	+    For further help and examples, see https://safe.nrao.edu/wiki/bin/view/ALMA/GetMedianPWV
build	18-Sep-2019 23:19:13	+    -- Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    pwvmean = 0
build	18-Sep-2019 23:19:13	+    success = False
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    if (verbose):
build	18-Sep-2019 23:19:13	+        print("in getMedianPWV with myTimes = %s" % (str(myTimes)))
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+      if (os.path.exists("%s/ASDM_CALWVR"%vis)):
build	18-Sep-2019 23:19:13	+          mytb.open("%s/ASDM_CALWVR" % vis)
build	18-Sep-2019 23:19:13	+          pwvtime = mytb.getcol('startValidTime')  # mjdsec
build	18-Sep-2019 23:19:13	+          antenna = mytb.getcol('antennaName')
build	18-Sep-2019 23:19:13	+          pwv = mytb.getcol('water')
build	18-Sep-2019 23:19:13	+          mytb.close()
build	18-Sep-2019 23:19:13	+          success = True
build	18-Sep-2019 23:19:13	+          if (len(pwv) < 1):
build	18-Sep-2019 23:19:13	+              if (os.path.exists("%s/ASDM_CALATMOSPHERE" % vis)):
build	18-Sep-2019 23:19:13	+                  pwvtime, antenna, pwv = readPWVFromASDM_CALATMOSPHERE(vis)
build	18-Sep-2019 23:19:13	+                  success = True
build	18-Sep-2019 23:19:13	+                  if (len(pwv) < 1):
build	18-Sep-2019 23:19:13	+                      print("Found no data in ASDM_CALWVR nor ASDM_CALATMOSPHERE table")
build	18-Sep-2019 23:19:13	+                      return(0,-1)
build	18-Sep-2019 23:19:13	+              else:
build	18-Sep-2019 23:19:13	+                  if (verbose):
build	18-Sep-2019 23:19:13	+                      print("Did not find ASDM_CALATMOSPHERE in the ms")
build	18-Sep-2019 23:19:13	+                  return(0,-1)
build	18-Sep-2019 23:19:13	+          if (verbose):
build	18-Sep-2019 23:19:13	+              print("Opened ASDM_CALWVR table, len(pwvtime)=%s" % (str(len(pwvtime))))
build	18-Sep-2019 23:19:13	+      else:
build	18-Sep-2019 23:19:13	+          if (verbose):
build	18-Sep-2019 23:19:13	+              print("Did not find ASDM_CALWVR table in the ms. Will look for ASDM_CALATMOSPHERE next.")
build	18-Sep-2019 23:19:13	+          if (os.path.exists("%s/ASDM_CALATMOSPHERE" % vis)):
build	18-Sep-2019 23:19:13	+              pwvtime, antenna, pwv = readPWVFromASDM_CALATMOSPHERE(vis)
build	18-Sep-2019 23:19:13	+              success = True
build	18-Sep-2019 23:19:13	+              if (len(pwv) < 1):
build	18-Sep-2019 23:19:13	+                  print("Found no data in ASDM_CALATMOSPHERE table")
build	18-Sep-2019 23:19:13	+                  return(0,-1)
build	18-Sep-2019 23:19:13	+          else:
build	18-Sep-2019 23:19:13	+              if (verbose):
build	18-Sep-2019 23:19:13	+                  print("Did not find ASDM_CALATMOSPHERE in the ms")
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Could not open ASDM_CALWVR table in the ms")
build	18-Sep-2019 23:19:13	+    finally:
build	18-Sep-2019 23:19:13	+     # try to find the ASDM table
build	18-Sep-2019 23:19:13	+     if (success == False):
build	18-Sep-2019 23:19:13	+       if (len(asdm) > 0):
build	18-Sep-2019 23:19:13	+           if (os.path.exists(asdm) == False):
build	18-Sep-2019 23:19:13	+               print("Could not open ASDM = %s" % (asdm))
build	18-Sep-2019 23:19:13	+               mytb.done()
build	18-Sep-2019 23:19:13	+               return(0,-1)
build	18-Sep-2019 23:19:13	+           try:
build	18-Sep-2019 23:19:13	+               [pwvtime,pwv,antenna] = readpwv(asdm)
build	18-Sep-2019 23:19:13	+           except:
build	18-Sep-2019 23:19:13	+               if (verbose):
build	18-Sep-2019 23:19:13	+                   print("Could not open ASDM = %s" % (asdm))
build	18-Sep-2019 23:19:13	+               mytb.done()
build	18-Sep-2019 23:19:13	+               return(pwvmean,-1)
build	18-Sep-2019 23:19:13	+       else:
build	18-Sep-2019 23:19:13	+           try:
build	18-Sep-2019 23:19:13	+               tryasdm = vis.split('.ms')[0]
build	18-Sep-2019 23:19:13	+               if (verbose):
build	18-Sep-2019 23:19:13	+                   print("No ASDM name provided, so I will try this name = %s" % (tryasdm))
build	18-Sep-2019 23:19:13	+               [pwvtime,pwv,antenna] = readpwv(tryasdm)
build	18-Sep-2019 23:19:13	+           except:
build	18-Sep-2019 23:19:13	+               try:
build	18-Sep-2019 23:19:13	+                   if (verbose):
build	18-Sep-2019 23:19:13	+                       print("Still did not find it.  Will look for CalWVR.xml in current directory.")
build	18-Sep-2019 23:19:13	+                   [pwvtime, pwv, antenna] = readpwv('.')
build	18-Sep-2019 23:19:13	+               except:
build	18-Sep-2019 23:19:13	+                   try:
build	18-Sep-2019 23:19:13	+                       if (verbose):
build	18-Sep-2019 23:19:13	+                           print("Still did not find it.  Will look for CalWVR.xml in the .ms directory.")
build	18-Sep-2019 23:19:13	+                       [pwvtime, pwv, antenna] = readpwv('%s/'%vis)
build	18-Sep-2019 23:19:13	+                   except:
build	18-Sep-2019 23:19:13	+                       if (verbose):
build	18-Sep-2019 23:19:13	+                           print("No CalWVR.xml file found, so no PWV retrieved. Copy it to this directory and try again.")
build	18-Sep-2019 23:19:13	+                       mytb.done()
build	18-Sep-2019 23:19:13	+                       return(pwvmean,-1)
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+        matches = np.where(np.array(pwvtime)>myTimes[0])[0]
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        print("Found no times > %d" % (myTimes[0]))
build	18-Sep-2019 23:19:13	+        mytb.done()
build	18-Sep-2019 23:19:13	+        return(0,-1)
build	18-Sep-2019 23:19:13	+    if (len(pwv) < 1):
build	18-Sep-2019 23:19:13	+        print("Found no PWV data")
build	18-Sep-2019 23:19:13	+        return(0,-1)
build	18-Sep-2019 23:19:13	+    ptime = np.array(pwvtime)[matches]
build	18-Sep-2019 23:19:13	+    matchedpwv = np.array(pwv)[matches]
build	18-Sep-2019 23:19:13	+    matches2 = np.where(ptime<myTimes[-1])[0]
build	18-Sep-2019 23:19:13	+    if (len(matches2) < 1):
build	18-Sep-2019 23:19:13	+        # look for the value with the closest start time
build	18-Sep-2019 23:19:13	+        mindiff = 1e12
build	18-Sep-2019 23:19:13	+        for i in range(len(pwvtime)):
build	18-Sep-2019 23:19:13	+            if (abs(myTimes[0]-pwvtime[i]) < mindiff):
build	18-Sep-2019 23:19:13	+                mindiff = abs(myTimes[0]-pwvtime[i])
build	18-Sep-2019 23:19:13	+                pwvmean = pwv[i]*1000
build	18-Sep-2019 23:19:13	+        matchedpwv = []
build	18-Sep-2019 23:19:13	+        for i in range(len(pwvtime)):
build	18-Sep-2019 23:19:13	+            if (abs(abs(myTimes[0]-pwvtime[i]) - mindiff) < 1.0):
build	18-Sep-2019 23:19:13	+                matchedpwv.append(pwv[i])
build	18-Sep-2019 23:19:13	+        pwvmean = 1000*np.median(matchedpwv)
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Taking the median of %d pwv measurements from all antennas = %.3f mm" % (len(matchedpwv),pwvmean))
build	18-Sep-2019 23:19:13	+        pwvstd = np.std(matchedpwv)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        pwvmean = 1000*np.median(matchedpwv[matches2])
build	18-Sep-2019 23:19:13	+        pwvstd = np.std(matchedpwv[matches2])
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Taking the median of %d pwv measurements from all antennas = %.3f mm" % (len(matches2),pwvmean))
build	18-Sep-2019 23:19:13	+#    mytb.done()
build	18-Sep-2019 23:19:13	+    return(pwvmean,pwvstd)
build	18-Sep-2019 23:19:13	+# end of getMedianPWV
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def computeAzElFromRADecMJD(raDec, mjd, observatory='ALMA'):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Computes the az/el for a specified J2000 RA/Dec, MJD and observatory.
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    raDec must be in radians: [ra,dec]
build	18-Sep-2019 23:19:13	+    mjd must be in days
build	18-Sep-2019 23:19:13	+    returns the [az,el] in radians
build	18-Sep-2019 23:19:13	+    - Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    myme = createCasaTool(metool)
build	18-Sep-2019 23:19:13	+    myqa = createCasaTool(qatool)
build	18-Sep-2019 23:19:13	+    mydir = myme.direction('J2000', myqa.quantity(raDec[0],'rad'), myqa.quantity(raDec[1],'rad'))
build	18-Sep-2019 23:19:13	+    myme.doframe(myme.epoch('mjd', myqa.quantity(mjd, 'd')))
build	18-Sep-2019 23:19:13	+    myme.doframe(myme.observatory(observatory))
build	18-Sep-2019 23:19:13	+    myazel = myme.measure(mydir,'azel')
build	18-Sep-2019 23:19:13	+    myqa.done()
build	18-Sep-2019 23:19:13	+    myme.done()
build	18-Sep-2019 23:19:13	+    return([myazel['m0']['value'], myazel['m1']['value']])
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getRADecForField(ms, myfieldId, debug):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Returns RA,Dec in radians for the specified field in the specified ms.
build	18-Sep-2019 23:19:13	+    -- Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    myms = createCasaTool(mstool)
build	18-Sep-2019 23:19:13	+    myms.open(ms)
build	18-Sep-2019 23:19:13	+    myd = myms.getfielddirmeas('DELAY_DIR', fieldid=myfieldId)  # dircolname defaults to 'PHASE_DIR'
build	18-Sep-2019 23:19:13	+    myms.close()
build	18-Sep-2019 23:19:13	+    mydir = np.array([[myd['m0']['value']], [myd['m1']['value']]])  # simulates tb.getcell
build	18-Sep-2019 23:19:13	+    return(mydir)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def findClosestTime(mytimes, mytime):
build	18-Sep-2019 23:19:13	+    myindex = 0
build	18-Sep-2019 23:19:13	+    mysep = np.abs(mytimes[0]-mytime)
build	18-Sep-2019 23:19:13	+    for m in range(1,len(mytimes)):
build	18-Sep-2019 23:19:13	+        if (np.abs(mytimes[m] - mytime) < mysep):
build	18-Sep-2019 23:19:13	+            mysep = np.abs(mytimes[m] - mytime)
build	18-Sep-2019 23:19:13	+            myindex = m
build	18-Sep-2019 23:19:13	+    return(myindex)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getWeather(vis='', scan='', antenna='0',verbose=False, mymsmd=None):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Queries the WEATHER and ANTENNA tables of an .ms by scan number or
build	18-Sep-2019 23:19:13	+    list of scan numbers in order to return mean values of: angleToSun,
build	18-Sep-2019 23:19:13	+      pressure, temperature, humidity, dew point, wind speed, wind direction,
build	18-Sep-2019 23:19:13	+      azimuth, elevation, solarangle, solarelev, solarazim.
build	18-Sep-2019 23:19:13	+    If the sun is below the horizon, the solarangle returned is negated.
build	18-Sep-2019 23:19:13	+    -- Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (verbose):
build	18-Sep-2019 23:19:13	+        print("Entered getWeather with vis,scan,antenna = %s,%s,%s" % (str(vis), str(scan), str(antenna)))
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+        if str(antenna).isdigit():
build	18-Sep-2019 23:19:13	+            antennaName = mymsmd.antennanames(antenna)[0]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            antennaName = antenna
build	18-Sep-2019 23:19:13	+            try:
build	18-Sep-2019 23:19:13	+                antenna = mymsmd.antennaids(antennaName)[0]
build	18-Sep-2019 23:19:13	+            except:
build	18-Sep-2019 23:19:13	+                antennaName = string.upper(antenna)
build	18-Sep-2019 23:19:13	+                antenna = mymsmd.antennaids(antennaName)[0]
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        print("Either the ANTENNA table does not exist or antenna %s does not exist" % (antenna))
build	18-Sep-2019 23:19:13	+        return([0,[]])
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+        mytb.open("%s/POINTING" % vis)
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        print("POINTING table does not exist")
build	18-Sep-2019 23:19:13	+        mytb.done()
build	18-Sep-2019 23:19:13	+        return([0,0])
build	18-Sep-2019 23:19:13	+    subtable = mytb.query("ANTENNA_ID == %s" % antenna)
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+        mytb.open("%s/OBSERVATION" % vis)
build	18-Sep-2019 23:19:13	+        observatory = mytb.getcell("TELESCOPE_NAME",0)
build	18-Sep-2019 23:19:13	+        mytb.close()
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        print("OBSERVATION table does not exist, assuming observatory == ALMA")
build	18-Sep-2019 23:19:13	+        observatory = "ALMA"
build	18-Sep-2019 23:19:13	+    if (scan == ''):
build	18-Sep-2019 23:19:13	+        scan = mymsmd.scannumbers()
build	18-Sep-2019 23:19:13	+    conditions = {}
build	18-Sep-2019 23:19:13	+    conditions['pressure']=conditions['temperature']=conditions['humidity']=conditions['dewpoint']=conditions['windspeed']=conditions['winddirection'] = 0
build	18-Sep-2019 23:19:13	+    conditions['scan'] = scan
build	18-Sep-2019 23:19:13	+    if (type(scan) == str):
build	18-Sep-2019 23:19:13	+        if (scan.find('~')>0):
build	18-Sep-2019 23:19:13	+            tokens = scan.split('~')
build	18-Sep-2019 23:19:13	+            scan = [int(k) for k in range(int(tokens[0]),int(tokens[1])+1)]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            scan = [int(k) for k in scan.split(',')]
build	18-Sep-2019 23:19:13	+    if (type(scan) == type(np.ndarray(0))):
build	18-Sep-2019 23:19:13	+        scan = list(scan)
build	18-Sep-2019 23:19:13	+    if (type(scan) == list):
build	18-Sep-2019 23:19:13	+        myTimes = np.array([])
build	18-Sep-2019 23:19:13	+        for sc in scan:
build	18-Sep-2019 23:19:13	+            try:
build	18-Sep-2019 23:19:13	+                print("calling timesforscan")
build	18-Sep-2019 23:19:13	+                newTimes = mymsmd.timesforscan(sc)
build	18-Sep-2019 23:19:13	+                print("times = %s" % (str(newTimes)))
build	18-Sep-2019 23:19:13	+            except:
build	18-Sep-2019 23:19:13	+                print("Error reading scan %d, is it in the data?" % (sc))
build	18-Sep-2019 23:19:13	+                mytb.done()
build	18-Sep-2019 23:19:13	+                return([conditions,[]])
build	18-Sep-2019 23:19:13	+            myTimes = np.concatenate((myTimes,newTimes))
build	18-Sep-2019 23:19:13	+    elif (scan != None):
build	18-Sep-2019 23:19:13	+        try:
build	18-Sep-2019 23:19:13	+            myTimes = mymsmd.timesforscan(scan)
build	18-Sep-2019 23:19:13	+        except:
build	18-Sep-2019 23:19:13	+            print("Error reading scan %d, is it in the data?" % (scan))
build	18-Sep-2019 23:19:13	+            mytb.done()
build	18-Sep-2019 23:19:13	+            return([conditions,[]])
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        mytb.done()
build	18-Sep-2019 23:19:13	+        return([conditions,[]])
build	18-Sep-2019 23:19:13	+    if (type(scan) == str):
build	18-Sep-2019 23:19:13	+        scan = [int(k) for k in scan.split(',')]
build	18-Sep-2019 23:19:13	+    if (type(scan) == list):
build	18-Sep-2019 23:19:13	+        listscan = ""
build	18-Sep-2019 23:19:13	+        listfield = []
build	18-Sep-2019 23:19:13	+        for sc in scan:
build	18-Sep-2019 23:19:13	+#            print("Processing scan ", sc)
build	18-Sep-2019 23:19:13	+            listfield.append(mymsmd.fieldsforscan(sc))
build	18-Sep-2019 23:19:13	+            listscan += "%d" % sc
build	18-Sep-2019 23:19:13	+            if (sc != scan[-1]):
build	18-Sep-2019 23:19:13	+                listscan += ","
build	18-Sep-2019 23:19:13	+#        print("listfield = ", listfield)
build	18-Sep-2019 23:19:13	+        listfields = np.unique(listfield[0])
build	18-Sep-2019 23:19:13	+        listfield = ""
build	18-Sep-2019 23:19:13	+        for field in listfields:
build	18-Sep-2019 23:19:13	+            listfield += "%s" % field
build	18-Sep-2019 23:19:13	+            if (field != listfields[-1]):
build	18-Sep-2019 23:19:13	+                listfield += ","
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        listscan = str(scan)
build	18-Sep-2019 23:19:13	+        listfield = mymsmd.fieldsforscan(scan)
build	18-Sep-2019 23:19:13	+    [az,el] = ComputeSolarAzElForObservatory(myTimes[0], mymsmd)
build	18-Sep-2019 23:19:13	+    [az2,el2] = ComputeSolarAzElForObservatory(myTimes[-1], mymsmd)
build	18-Sep-2019 23:19:13	+    azsun = np.mean([az,az2])
build	18-Sep-2019 23:19:13	+    elsun = np.mean([el,el2])
build	18-Sep-2019 23:19:13	+    direction = subtable.getcol("DIRECTION")
build	18-Sep-2019 23:19:13	+    azeltime = subtable.getcol("TIME")
build	18-Sep-2019 23:19:13	+    subtable.close()
build	18-Sep-2019 23:19:13	+    telescopeName = mymsmd.observatorynames()[0]
build	18-Sep-2019 23:19:13	+    if (len(direction) > 0 and telescopeName.find('VLA') < 0 and telescopeName.find('NRO') < 0):
build	18-Sep-2019 23:19:13	+      azimuth = direction[0][0]*180.0/math.pi  # a list of values
build	18-Sep-2019 23:19:13	+      elevation = direction[1][0]*180.0/math.pi # a list of values
build	18-Sep-2019 23:19:13	+      npat = np.array(azeltime)
build	18-Sep-2019 23:19:13	+      matches = np.where(npat>myTimes[0])[0]
build	18-Sep-2019 23:19:13	+      matches2 = np.where(npat<myTimes[-1])[0]
build	18-Sep-2019 23:19:13	+      if (len(matches2) > 0 and len(matches) > 0):
build	18-Sep-2019 23:19:13	+          if verbose: print("matches[0]=%d, matches2[-1]=%d" % (matches[0],matches[-1]))
build	18-Sep-2019 23:19:13	+          matchingIndices = range(matches[0],matches2[-1]+1)
build	18-Sep-2019 23:19:13	+      else:
build	18-Sep-2019 23:19:13	+          matchingIndices = []
build	18-Sep-2019 23:19:13	+      if (len(matchingIndices) > 0):  # CAS-8440
build	18-Sep-2019 23:19:13	+          conditions['azimuth'] = np.mean(azimuth[matches[0]:matches2[-1]+1])
build	18-Sep-2019 23:19:13	+          conditions['elevation'] = np.mean(elevation[matches[0]:matches2[-1]+1])
build	18-Sep-2019 23:19:13	+      elif (len(matches) > 0):        # CAS-8440
build	18-Sep-2019 23:19:13	+          if verbose: print("using mean of all az/el values after time 0")
build	18-Sep-2019 23:19:13	+          conditions['azimuth'] = np.mean(azimuth[matches[0]])
build	18-Sep-2019 23:19:13	+          conditions['elevation'] = np.mean(elevation[matches[0]])
build	18-Sep-2019 23:19:13	+      else:                           # CAS-8440
build	18-Sep-2019 23:19:13	+          if verbose: print("using mean of all az/el values")
build	18-Sep-2019 23:19:13	+          conditions['azimuth'] = np.mean(azimuth)
build	18-Sep-2019 23:19:13	+          conditions['elevation'] = np.mean(elevation)
build	18-Sep-2019 23:19:13	+      conditions['solarangle'] = angularSeparation(azsun,elsun,conditions['azimuth'],conditions['elevation'])
build	18-Sep-2019 23:19:13	+      conditions['solarelev'] = elsun
build	18-Sep-2019 23:19:13	+      conditions['solarazim'] = azsun
build	18-Sep-2019 23:19:13	+      if (verbose):
build	18-Sep-2019 23:19:13	+          print("Using antenna = %s to retrieve mean azimuth and elevation" % (antennaName))
build	18-Sep-2019 23:19:13	+          print("Separation from sun = %f deg" % (abs(conditions['solarangle'])))
build	18-Sep-2019 23:19:13	+      if (elsun<0):
build	18-Sep-2019 23:19:13	+        conditions['solarangle'] = -conditions['solarangle']
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Sun is below horizon (elev=%.1f deg)" % (elsun))
build	18-Sep-2019 23:19:13	+      else:
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Sun is above horizon (elev=%.1f deg)" % (elsun))
build	18-Sep-2019 23:19:13	+      if (verbose):
build	18-Sep-2019 23:19:13	+          print("Average azimuth = %.2f, elevation = %.2f degrees" % (conditions['azimuth'],conditions['elevation']))
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+      if (verbose): print("The POINTING table is either blank or does not contain Azim/Elev.")
build	18-Sep-2019 23:19:13	+      if (type(scan) == int or type(scan)==np.int32):
build	18-Sep-2019 23:19:13	+          # compute Az/El for this scan
build	18-Sep-2019 23:19:13	+        myfieldId = mymsmd.fieldsforscan(scan)
build	18-Sep-2019 23:19:13	+        if (type(myfieldId) == list or type(myfieldId) == type(np.ndarray(0))):
build	18-Sep-2019 23:19:13	+            myfieldId = myfieldId[0]
build	18-Sep-2019 23:19:13	+        fieldName = mymsmd.namesforfields(myfieldId)
build	18-Sep-2019 23:19:13	+        if (type(fieldName) == list or type(fieldName) == type(np.ndarray(0))):
build	18-Sep-2019 23:19:13	+            fieldName = fieldName[0]
build	18-Sep-2019 23:19:13	+#        print("A) fieldname = ", fieldName)
build	18-Sep-2019 23:19:13	+#        print("myfieldId = ", myfieldId)
build	18-Sep-2019 23:19:13	+        myscantime = np.mean(mymsmd.timesforscan(scan))
build	18-Sep-2019 23:19:13	+#        print("Calling getRADecForField")
build	18-Sep-2019 23:19:13	+        mydirection = getRADecForField(vis, myfieldId, verbose)
build	18-Sep-2019 23:19:13	+        if (verbose): print("mydirection= %s" % (str(mydirection)))
build	18-Sep-2019 23:19:13	+        if (len(telescopeName) < 1):
build	18-Sep-2019 23:19:13	+            telescopeName = 'ALMA'
build	18-Sep-2019 23:19:13	+        myazel = computeAzElFromRADecMJD(mydirection, myscantime/86400., telescopeName)
build	18-Sep-2019 23:19:13	+        conditions['elevation'] = myazel[1] * 180/math.pi
build	18-Sep-2019 23:19:13	+        conditions['azimuth'] = myazel[0] * 180/math.pi
build	18-Sep-2019 23:19:13	+        conditions['solarangle'] = angularSeparation(azsun,elsun,conditions['azimuth'],conditions['elevation'])
build	18-Sep-2019 23:19:13	+        conditions['solarelev'] = elsun
build	18-Sep-2019 23:19:13	+        conditions['solarazim'] = azsun
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Separation from sun = %f deg" % (abs(conditions['solarangle'])))
build	18-Sep-2019 23:19:13	+        if (elsun<0):
build	18-Sep-2019 23:19:13	+            conditions['solarangle'] = -conditions['solarangle']
build	18-Sep-2019 23:19:13	+            if (verbose):
build	18-Sep-2019 23:19:13	+                print("Sun is below horizon (elev=%.1f deg)" % (elsun))
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            if (verbose):
build	18-Sep-2019 23:19:13	+                print("Sun is above horizon (elev=%.1f deg)" % (elsun))
build	18-Sep-2019 23:19:13	+        if (verbose):
build	18-Sep-2019 23:19:13	+            print("Average azimuth = %.2f, elevation = %.2f degrees" % (conditions['azimuth'],conditions['elevation']))
build	18-Sep-2019 23:19:13	+      elif (type(scan) == list):
build	18-Sep-2019 23:19:13	+          myaz = []
build	18-Sep-2019 23:19:13	+          myel = []
build	18-Sep-2019 23:19:13	+          if (verbose):
build	18-Sep-2019 23:19:13	+              print("Scans to loop over = %s" % (str(scan)))
build	18-Sep-2019 23:19:13	+          for s in scan:
build	18-Sep-2019 23:19:13	+              fieldName = mymsmd.fieldsforscan(s)
build	18-Sep-2019 23:19:13	+              if (type(fieldName) == list):
build	18-Sep-2019 23:19:13	+                  # take only the first pointing in the mosaic
build	18-Sep-2019 23:19:13	+                  fieldName = fieldName[0]
build	18-Sep-2019 23:19:13	+              myfieldId = mymsmd.fieldsforname(fieldName)
build	18-Sep-2019 23:19:13	+              if (type(myfieldId) == list or type(myfieldId)==type(np.ndarray(0))):
build	18-Sep-2019 23:19:13	+                  # If the same field name has two IDs (this happens in EVLA data)
build	18-Sep-2019 23:19:13	+                  myfieldId = myfieldId[0]
build	18-Sep-2019 23:19:13	+              myscantime = np.mean(mymsmd.timesforscan(s))
build	18-Sep-2019 23:19:13	+              mydirection = getRADecForField(vis, myfieldId, verbose)
build	18-Sep-2019 23:19:13	+              telescopeName = mymsmd.observatorynames()[0]
build	18-Sep-2019 23:19:13	+              if (len(telescopeName) < 1):
build	18-Sep-2019 23:19:13	+                  telescopeName = 'ALMA'
build	18-Sep-2019 23:19:13	+              myazel = computeAzElFromRADecMJD(mydirection, myscantime/86400., telescopeName)
build	18-Sep-2019 23:19:13	+              myaz.append(myazel[0]*180/math.pi)
build	18-Sep-2019 23:19:13	+              myel.append(myazel[1]*180/math.pi)
build	18-Sep-2019 23:19:13	+          conditions['azimuth'] = np.mean(myaz)
build	18-Sep-2019 23:19:13	+          conditions['elevation'] = np.mean(myel)
build	18-Sep-2019 23:19:13	+          conditions['solarangle'] = angularSeparation(azsun,elsun,conditions['azimuth'],conditions['elevation'])
build	18-Sep-2019 23:19:13	+          conditions['solarelev'] = elsun
build	18-Sep-2019 23:19:13	+          conditions['solarazim'] = azsun
build	18-Sep-2019 23:19:13	+          if (verbose):
build	18-Sep-2019 23:19:13	+              print("Using antenna = %s to retrieve mean azimuth and elevation" % (antennaName))
build	18-Sep-2019 23:19:13	+              print("Separation from sun = %f deg" % (abs(conditions['solarangle'])))
build	18-Sep-2019 23:19:13	+          if (elsun<0):
build	18-Sep-2019 23:19:13	+              conditions['solarangle'] = -conditions['solarangle']
build	18-Sep-2019 23:19:13	+              if (verbose):
build	18-Sep-2019 23:19:13	+                  print("Sun is below horizon (elev=%.1f deg)" % (elsun))
build	18-Sep-2019 23:19:13	+          else:
build	18-Sep-2019 23:19:13	+              if (verbose):
build	18-Sep-2019 23:19:13	+                  print("Sun is above horizon (elev=%.1f deg)" % (elsun))
build	18-Sep-2019 23:19:13	+          if (verbose):
build	18-Sep-2019 23:19:13	+              print("Average azimuth = %.2f, elevation = %.2f degrees" % (conditions['azimuth'],conditions['elevation']))
build	18-Sep-2019 23:19:13	+          
build	18-Sep-2019 23:19:13	+              
build	18-Sep-2019 23:19:13	+    # now, get the weather
build	18-Sep-2019 23:19:13	+    if not os.path.exists('%s/WEATHER' % vis):
build	18-Sep-2019 23:19:13	+        print("There is no WEATHER table for this ms.")
build	18-Sep-2019 23:19:13	+        if (needToClose_mymsmd): mymsmd.close()
build	18-Sep-2019 23:19:13	+        return([conditions,myTimes])
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+        mytb.open("%s/WEATHER" % vis)
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        print("Could not open the WEATHER table for this ms.")
build	18-Sep-2019 23:19:13	+        mytb.done()
build	18-Sep-2019 23:19:13	+        return([conditions,myTimes])
build	18-Sep-2019 23:19:13	+    if (True):
build	18-Sep-2019 23:19:13	+        mjdsec = mytb.getcol('TIME')
build	18-Sep-2019 23:19:13	+        indices = np.argsort(mjdsec)
build	18-Sep-2019 23:19:13	+        mjd = mjdsec/86400.
build	18-Sep-2019 23:19:13	+        pressure = mytb.getcol('PRESSURE')
build	18-Sep-2019 23:19:13	+        relativeHumidity = mytb.getcol('REL_HUMIDITY')
build	18-Sep-2019 23:19:13	+        temperature = mytb.getcol('TEMPERATURE')
build	18-Sep-2019 23:19:13	+        if (np.mean(temperature) > 100):
build	18-Sep-2019 23:19:13	+            # must be in units of Kelvin, so convert to C
build	18-Sep-2019 23:19:13	+            temperature -= 273.15        
build	18-Sep-2019 23:19:13	+        if 'DEW_POINT' in mytb.colnames():
build	18-Sep-2019 23:19:13	+            dewPoint = mytb.getcol('DEW_POINT')
build	18-Sep-2019 23:19:13	+            if (np.mean(dewPoint) > 100):
build	18-Sep-2019 23:19:13	+                # must be in units of Kelvin, so convert to C
build	18-Sep-2019 23:19:13	+                dewPoint -= 273.15        
build	18-Sep-2019 23:19:13	+            if (np.mean(dewPoint) == 0):
build	18-Sep-2019 23:19:13	+                # assume it is not measured and use NOAA formula to compute from humidity:
build	18-Sep-2019 23:19:13	+                dewPoint = ComputeDewPointCFromRHAndTempC(relativeHumidity, temperature)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            dewPoint = None  # Nobeyama measurement sets do not have a dewpoint column
build	18-Sep-2019 23:19:13	+        sinWindDirection = np.sin(mytb.getcol('WIND_DIRECTION'))
build	18-Sep-2019 23:19:13	+        cosWindDirection = np.cos(mytb.getcol('WIND_DIRECTION'))
build	18-Sep-2019 23:19:13	+        windSpeed = mytb.getcol('WIND_SPEED')
build	18-Sep-2019 23:19:13	+        mytb.done()
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+        # put values into time order (they mostly are, but there can be small differences)
build	18-Sep-2019 23:19:13	+        mjdsec = np.array(mjdsec)[indices]
build	18-Sep-2019 23:19:13	+        pressure = np.array(pressure)[indices]
build	18-Sep-2019 23:19:13	+        relativeHumidity = np.array(relativeHumidity)[indices]
build	18-Sep-2019 23:19:13	+        temperature = np.array(temperature)[indices]
build	18-Sep-2019 23:19:13	+        if dewPoint is not None:
build	18-Sep-2019 23:19:13	+            dewPoint = np.array(dewPoint)[indices]
build	18-Sep-2019 23:19:13	+        windSpeed = np.array(windSpeed)[indices]
build	18-Sep-2019 23:19:13	+        sinWindDirection = np.array(sinWindDirection)[indices]
build	18-Sep-2019 23:19:13	+        cosWindDirection = np.array(cosWindDirection)[indices]
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+        # find the overlap of weather measurement times and scan times
build	18-Sep-2019 23:19:13	+        matches = np.where(mjdsec>=np.min(myTimes))[0]
build	18-Sep-2019 23:19:13	+        matches2 = np.where(mjdsec<=np.max(myTimes))[0]
build	18-Sep-2019 23:19:13	+#            print("len(matches)=%d, len(matches2)=%d" % (len(matches), len(matches2)))
build	18-Sep-2019 23:19:13	+        noWeatherData = False
build	18-Sep-2019 23:19:13	+        if (len(matches)>0 and len(matches2) > 0):
build	18-Sep-2019 23:19:13	+            # average the weather points enclosed by the scan time range
build	18-Sep-2019 23:19:13	+            selectedValues = range(matches[0], matches2[-1]+1)
build	18-Sep-2019 23:19:13	+            if (selectedValues == []):
build	18-Sep-2019 23:19:13	+                # there was a either gap in the weather data, or an incredibly short scan duration
build	18-Sep-2019 23:19:13	+                if (verbose):
build	18-Sep-2019 23:19:13	+                    print("----  Finding the nearest weather value --------------------------- ")
build	18-Sep-2019 23:19:13	+                selectedValues = findClosestTime(mjdsec, myTimes[0])
build	18-Sep-2019 23:19:13	+        elif (len(matches)>0):
build	18-Sep-2019 23:19:13	+            # all points are greater than myTime, so take the first one
build	18-Sep-2019 23:19:13	+            selectedValues = matches[0]
build	18-Sep-2019 23:19:13	+        elif (len(matches2)>0):
build	18-Sep-2019 23:19:13	+            # all points are less than myTime, so take the last one
build	18-Sep-2019 23:19:13	+            selectedValues = matches2[-1]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            # table has no weather data!
build	18-Sep-2019 23:19:13	+            noWeatherData = True
build	18-Sep-2019 23:19:13	+        if (noWeatherData):
build	18-Sep-2019 23:19:13	+            conditions['pressure'] = 563.0
build	18-Sep-2019 23:19:13	+            conditions['temperature'] = 0  # Celsius is expected
build	18-Sep-2019 23:19:13	+            conditions['humidity'] = 20.0
build	18-Sep-2019 23:19:13	+            conditions['dewpoint'] = -20.0
build	18-Sep-2019 23:19:13	+            conditions['windspeed'] = 0
build	18-Sep-2019 23:19:13	+            conditions['winddirection'] = 0
build	18-Sep-2019 23:19:13	+            print("WARNING: No weather data found in the WEATHER table!")
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+          if (type(selectedValues) == np.int64 or type(selectedValues) == np.int32 or  
build	18-Sep-2019 23:19:13	+              type(selectedValues) == np.int):
build	18-Sep-2019 23:19:13	+              conditions['readings'] = 1
build	18-Sep-2019 23:19:13	+              if (verbose):
build	18-Sep-2019 23:19:13	+                  print("selectedValues=%d, myTimes[0]=%.0f, myTimes[1]=%.0f, len(matches)=%d, len(matches2)=%d" % (selectedValues,
build	18-Sep-2019 23:19:13	+                     myTimes[0],myTimes[1], len(matches), len(matches2)))
build	18-Sep-2019 23:19:13	+                  if (len(matches) > 0):
build	18-Sep-2019 23:19:13	+                      print("matches[0]=%f, matches[-1]=%f" % (matches[0], matches[-1]))
build	18-Sep-2019 23:19:13	+                  if (len(matches2) > 0):
build	18-Sep-2019 23:19:13	+                      print("matches2[0]=%f, matches2[-1]=%d" % (matches2[0], matches2[-1]))
build	18-Sep-2019 23:19:13	+          else:
build	18-Sep-2019 23:19:13	+              conditions['readings'] = len(selectedValues)
build	18-Sep-2019 23:19:13	+          conditions['pressure'] = np.mean(pressure[selectedValues])
build	18-Sep-2019 23:19:13	+          if (conditions['pressure'] != conditions['pressure']):
build	18-Sep-2019 23:19:13	+              # A nan value got through, due to no selected values (should be impossible)"
build	18-Sep-2019 23:19:13	+              if (verbose):
build	18-Sep-2019 23:19:13	+                  print(">>>>>>>>>>>>>>>>>>>>>>>>  selectedValues = %s" % (str(selectedValues)))
build	18-Sep-2019 23:19:13	+                  print("len(matches)=%d, len(matches2)=%d" % (len(matches), len(matches2)))
build	18-Sep-2019 23:19:13	+                  print("matches[0]=%f, matches[-1]=%f, matches2[0]=%f, matches2[-1]=%d" % (matches[0], matches[-1], matches2[0], matches2[-1]))
build	18-Sep-2019 23:19:13	+          conditions['temperature'] = np.mean(temperature[selectedValues])
build	18-Sep-2019 23:19:13	+          conditions['humidity'] = np.mean(relativeHumidity[selectedValues])
build	18-Sep-2019 23:19:13	+          if dewPoint is not None:
build	18-Sep-2019 23:19:13	+              conditions['dewpoint'] = np.mean(dewPoint[selectedValues])
build	18-Sep-2019 23:19:13	+          conditions['windspeed'] = np.mean(windSpeed[selectedValues])
build	18-Sep-2019 23:19:13	+          conditions['winddirection'] = (180./math.pi)*np.arctan2(np.mean(sinWindDirection[selectedValues]),np.mean(cosWindDirection[selectedValues]))
build	18-Sep-2019 23:19:13	+          if (conditions['winddirection'] < 0):
build	18-Sep-2019 23:19:13	+              conditions['winddirection'] += 360
build	18-Sep-2019 23:19:13	+          if (verbose):
build	18-Sep-2019 23:19:13	+              print("Mean weather values for scan %s (field %s)" % (listscan,listfield))
build	18-Sep-2019 23:19:13	+              print("  Pressure = %.2f mb" % (conditions['pressure']))
build	18-Sep-2019 23:19:13	+              print("  Temperature = %.2f C" % (conditions['temperature']))
build	18-Sep-2019 23:19:13	+              if dewPoint is not None:
build	18-Sep-2019 23:19:13	+                  print("  Dew point = %.2f C" % (conditions['dewpoint']))
build	18-Sep-2019 23:19:13	+              print("  Relative Humidity = %.2f %%" % (conditions['humidity']))
build	18-Sep-2019 23:19:13	+              print("  Wind speed = %.2f m/s" % (conditions['windspeed']))
build	18-Sep-2019 23:19:13	+              print("  Wind direction = %.2f deg" % (conditions['winddirection']))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    return([conditions,myTimes])
build	18-Sep-2019 23:19:13	+    # end of getWeather
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def getBasebandNumbers(inputMs) :
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Returns the baseband numbers associated with each spw in the specified ms.
build	18-Sep-2019 23:19:13	+    Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    if (os.path.exists(inputMs) == False):
build	18-Sep-2019 23:19:13	+        print("measurement set not found")
build	18-Sep-2019 23:19:13	+        return -1
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    mytb.open("%s/SPECTRAL_WINDOW" % inputMs)
build	18-Sep-2019 23:19:13	+    if ("BBC_NO" in mytb.colnames()):
build	18-Sep-2019 23:19:13	+        bbNums = mytb.getcol("BBC_NO")
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        return(-1)
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    return bbNums
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def yigHarmonic(bandString):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Returns the YIG harmonic for the specified ALMA band, given as a string 
build	18-Sep-2019 23:19:13	+    used in casa tables.
build	18-Sep-2019 23:19:13	+    For example:  yigHarmonic('ALMA_RB_03')  returns the integer 6.
build	18-Sep-2019 23:19:13	+    Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    # remove any leading spaces
build	18-Sep-2019 23:19:13	+    #bandString = bandString[bandString.find('ALMA_RB'):]
build	18-Sep-2019 23:19:13	+    harmonics = {'ALMA_RB_03':6, 'ALMA_RB_04':6, 'ALMA_RB_06': 18, 
build	18-Sep-2019 23:19:13	+                 'ALMA_RB_07': 18, 'ALMA_RB_08':18, 'ALMA_RB_09':27}
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+        harmonic = harmonics[bandString]
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        harmonic = -1
build	18-Sep-2019 23:19:13	+    return(harmonic)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def interpretLOs(vis, parentms='', showWVR=False,
build	18-Sep-2019 23:19:13	+                 showCentralFreq=False, verbose=False, show=False,
build	18-Sep-2019 23:19:13	+                 alsoReturnLO2=False, showChannelAverageSpws=False,
build	18-Sep-2019 23:19:13	+                 showOnlyScienceSpws=False, birdieFreq=None, birdieSpw=None,
build	18-Sep-2019 23:19:13	+                 intent='OBSERVE_TARGET#ON_SOURCE', spwsForIntent=None,
build	18-Sep-2019 23:19:13	+                 showEffective=False, showWindowFactors=False, mymsmd=None):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Copied from analysisUtils on May 16, 2017, to replace old version, in order
build	18-Sep-2019 23:19:13	+    to fix SCOPS-4877.
build	18-Sep-2019 23:19:13	+    Interpret (and optionally print) the LO settings for an MS from the
build	18-Sep-2019 23:19:13	+    ASDM_RECEIVER table.
build	18-Sep-2019 23:19:13	+    Options:
build	18-Sep-2019 23:19:13	+    showCentralFreq: if True, then show the mean frequency of each spw,
build	18-Sep-2019 23:19:13	+                     otherwise show the frequency of the first channel
build	18-Sep-2019 23:19:13	+    showWVR: include the WVR spw in the list
build	18-Sep-2019 23:19:13	+    parentms:  if the dataset has been split from a parent dataset, then
build	18-Sep-2019 23:19:13	+               you may also need to specify the name of the parent ms.
build	18-Sep-2019 23:19:13	+    alsoReturnLO2: if True, return a second dictionary of the LO2 values
build	18-Sep-2019 23:19:13	+    birdieFreq: if specified, compute the IF of this RF feature
build	18-Sep-2019 23:19:13	+    birdieSpw: only necessary if more than one LO1 in the science spws
build	18-Sep-2019 23:19:13	+    intent: which intent to use in spwsforintent (to find science spws)
build	18-Sep-2019 23:19:13	+    spwsForIntent: if specified, then avoid the call to spwsforintent
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    Returns: a dictionary of the LO1 values (in Hz) for each spw, keyed by
build	18-Sep-2019 23:19:13	+             integer.  
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    A typical band 7 TDM dataset (prior to splitting) looks like this:
build	18-Sep-2019 23:19:13	+    SPECTRAL_WINDOW table has 39 rows:   row
build	18-Sep-2019 23:19:13	+           WVR                           0
build	18-Sep-2019 23:19:13	+           8 band 3 windows (pointing)   1-8
build	18-Sep-2019 23:19:13	+           8 band 7 windows              9-16
build	18-Sep-2019 23:19:13	+           22 WVR windows                17-38
build	18-Sep-2019 23:19:13	+    The corresponding ASDM_RECEIVER table has only 18 rows:
build	18-Sep-2019 23:19:13	+           WVR                           0
build	18-Sep-2019 23:19:13	+           8 band 3 windows              1-8
build	18-Sep-2019 23:19:13	+           WVR                           9          
build	18-Sep-2019 23:19:13	+           8 band 7 windows              10-17
build	18-Sep-2019 23:19:13	+    After splitting, the ASDM_RECEIVER table remains the same, but the 
build	18-Sep-2019 23:19:13	+    SPECTRAL WINDOW table then has only 4 rows, as the pointing spws and 
build	18-Sep-2019 23:19:13	+    the channel-averaged data are dropped:
build	18-Sep-2019 23:19:13	+           4 band 7 windows               
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    lo1s = {} # initialize dictionary to be returned
build	18-Sep-2019 23:19:13	+    lo2s = {}
build	18-Sep-2019 23:19:13	+    try:
build	18-Sep-2019 23:19:13	+        retval =  getLOs(vis)
build	18-Sep-2019 23:19:13	+        [LOs,bands,spws,names,sidebands,receiverIds,spwNames] = retval
build	18-Sep-2019 23:19:13	+    except:
build	18-Sep-2019 23:19:13	+        print("getLOs failed")
build	18-Sep-2019 23:19:13	+        return(retval)
build	18-Sep-2019 23:19:13	+    if (verbose): print("len(spws) = %d: %s" % (len(spws), str(spws)))
build	18-Sep-2019 23:19:13	+    maxSpw = np.max(spws)
build	18-Sep-2019 23:19:13	+    sawWVR = False
build	18-Sep-2019 23:19:13	+    indices = []  # will exclude the extraneous WVR spws
build	18-Sep-2019 23:19:13	+    for i in range(len(spws)):
build	18-Sep-2019 23:19:13	+        if (names[i].find('WVR') >= 0):
build	18-Sep-2019 23:19:13	+            if (not sawWVR):
build	18-Sep-2019 23:19:13	+                indices.append(i)
build	18-Sep-2019 23:19:13	+                sawWVR = True
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            indices.append(i)
build	18-Sep-2019 23:19:13	+    LOs = np.array(LOs)[indices]
build	18-Sep-2019 23:19:13	+    bands = np.array(bands)[indices]
build	18-Sep-2019 23:19:13	+    spws = list(np.array(spws)[indices])
build	18-Sep-2019 23:19:13	+    names = np.array(names)[indices]
build	18-Sep-2019 23:19:13	+    sidebands = np.array(sidebands)[indices]
build	18-Sep-2019 23:19:13	+    receiverIds = np.array(receiverIds)[indices]
build	18-Sep-2019 23:19:13	+    index = range(len(spws))
build	18-Sep-2019 23:19:13	+    mytb = createCasaTool(tbtool)
build	18-Sep-2019 23:19:13	+    mytb.open(vis+'/SPECTRAL_WINDOW')
build	18-Sep-2019 23:19:13	+    # If the data have been split into an ms with fewer spws, then this 
build	18-Sep-2019 23:19:13	+    # table will be smaller (in rows) than the parent MS's table.
build	18-Sep-2019 23:19:13	+    spwNames = mytb.getcol('NAME')
build	18-Sep-2019 23:19:13	+    mytb.close()
build	18-Sep-2019 23:19:13	+    splitted = False
build	18-Sep-2019 23:19:13	+    if (maxSpw != len(spwNames)-1):
build	18-Sep-2019 23:19:13	+        splitted = True
build	18-Sep-2019 23:19:13	+        if (verbose): 
build	18-Sep-2019 23:19:13	+            print("maxSpw=%d != len(spwNames)=%d)" % (maxSpw, len(spwNames)))
build	18-Sep-2019 23:19:13	+        if (parentms == '' or parentms == None):
build	18-Sep-2019 23:19:13	+            print("You appear to have split these data.  Please provide the parentms as an argument.")
build	18-Sep-2019 23:19:13	+            return
build	18-Sep-2019 23:19:13	+        mytb.open(parentms+'/SPECTRAL_WINDOW')
build	18-Sep-2019 23:19:13	+        parentSpwNames = mytb.getcol('NAME')
build	18-Sep-2019 23:19:13	+        mytb.close()
build	18-Sep-2019 23:19:13	+        extractedRows = []
build	18-Sep-2019 23:19:13	+        index = []
build	18-Sep-2019 23:19:13	+        for s in range(len(spwNames)):
build	18-Sep-2019 23:19:13	+            if (len(spwNames[s]) == 0):
build	18-Sep-2019 23:19:13	+                print("This is an old dataset lacking values in the NAME column of the SPECTRAL_WINDOW table.")
build	18-Sep-2019 23:19:13	+                return
build	18-Sep-2019 23:19:13	+            if (verbose): 
build	18-Sep-2019 23:19:13	+                print("Checking for %s in " % (spwNames[s]), parentSpwNames)
build	18-Sep-2019 23:19:13	+            extractedRows.append(np.where(parentSpwNames == spwNames[s])[0][0])
build	18-Sep-2019 23:19:13	+            index.append(spws.index(extractedRows[-1]))
build	18-Sep-2019 23:19:13	+            if (verbose): 
build	18-Sep-2019 23:19:13	+                print("spw %d came from spw %d" % (s, extractedRows[-1]))
build	18-Sep-2019 23:19:13	+# extractedRows = the row of the parent SPECTRAL_WINDOW table that matches 
build	18-Sep-2019 23:19:13	+#                 the split-out spw
build	18-Sep-2019 23:19:13	+#     index = the row of the ASDM_RECEIVER table that matches the split-out spw
build	18-Sep-2019 23:19:13	+        vis = parentms
build	18-Sep-2019 23:19:13	+    if (verbose): 
build	18-Sep-2019 23:19:13	+        print("spwNames = ", spwNames)
build	18-Sep-2019 23:19:13	+        print("spws = ", spws)
build	18-Sep-2019 23:19:13	+        print("bands = ", bands)
build	18-Sep-2019 23:19:13	+        output = "LOs = "
build	18-Sep-2019 23:19:13	+        for LO in LOs:
build	18-Sep-2019 23:19:13	+            output += "%.3f, " % (LO[0]*1e-9)
build	18-Sep-2019 23:19:13	+        print(output)
build	18-Sep-2019 23:19:13	+        print("names = ", names)
build	18-Sep-2019 23:19:13	+        print("index = ", index)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    bbc = getBasebandNumbers(vis) # does not use msmd
build	18-Sep-2019 23:19:13	+    if (show): 
build	18-Sep-2019 23:19:13	+        print('Row refers to the row number in the ASDM_RECEIVER table (starting at 0).')
build	18-Sep-2019 23:19:13	+        if (showCentralFreq):
build	18-Sep-2019 23:19:13	+            myline = 'Row spw BB RxBand CenFreq Nchan LO1(GHz) LO2(GHz) Sampler YIG(GHz) TFBoffset(MHz)'
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            myline = 'Row spw BB RxBand Ch1Freq Nchan LO1(GHz) LO2(GHz) Sampler YIG(GHz) TFBoffset(MHz)'
build	18-Sep-2019 23:19:13	+        if (showEffective):
build	18-Sep-2019 23:19:13	+            myline += ' Eff.BW(MHz) Res(MHz) Width(MHz)'
build	18-Sep-2019 23:19:13	+        if (showWindowFactors):
build	18-Sep-2019 23:19:13	+            myline += ' windowFactors'
build	18-Sep-2019 23:19:13	+        print(myline)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # Loop over all rows in the ASDM_RECEIVER table, unless we've split, in 
build	18-Sep-2019 23:19:13	+    # which case this will loop over the N spws in the table.
build	18-Sep-2019 23:19:13	+    needToClose = False
build	18-Sep-2019 23:19:13	+    if mymsmd is None or mymsmd == '':
build	18-Sep-2019 23:19:13	+        mymsmd = createCasaTool(msmdtool)
build	18-Sep-2019 23:19:13	+        mymsmd.open(vis)
build	18-Sep-2019 23:19:13	+        needToClose = True
build	18-Sep-2019 23:19:13	+    if (spwsForIntent == None):
build	18-Sep-2019 23:19:13	+        if intent in mymsmd.intents(): # prevent a warning of OBSERVE_TARGET does not exist
build	18-Sep-2019 23:19:13	+            scienceSpws = np.setdiff1d(mymsmd.spwsforintent(intent),mymsmd.wvrspws())
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            scienceSpws = []
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        scienceSpws = spwsForIntent
build	18-Sep-2019 23:19:13	+    birdieIF = 0
build	18-Sep-2019 23:19:13	+    if (birdieFreq is not None):
build	18-Sep-2019 23:19:13	+        birdieFreq = parseFrequencyArgumentToHz(birdieFreq)
build	18-Sep-2019 23:19:13	+        birdieFreqGHz = parseFrequencyArgumentToGHz(birdieFreq)
build	18-Sep-2019 23:19:13	+    fdmSpws = mymsmd.almaspws(fdm=True)
build	18-Sep-2019 23:19:13	+    for i in range(len(index)):
build	18-Sep-2019 23:19:13	+        if (verbose): 
build	18-Sep-2019 23:19:13	+            print("index[%d]=%d" % (i,index[i]))
build	18-Sep-2019 23:19:13	+            print("spws[%d] = %d" % (index[i], spws[index[i]]))
build	18-Sep-2019 23:19:13	+        myspw = i 
build	18-Sep-2019 23:19:13	+        if (birdieFreq is not None and birdieIF == 0):
build	18-Sep-2019 23:19:13	+            if (myspw == birdieSpw):
build	18-Sep-2019 23:19:13	+                if verbose:
build	18-Sep-2019 23:19:13	+                    print("spw=%d, Computing IF = %f - %f" % (myspw, birdieFreq, LOs[index[i]][0]))
build	18-Sep-2019 23:19:13	+                birdieIF = np.fabs(birdieFreq - LOs[index[i]][0])
build	18-Sep-2019 23:19:13	+            elif (myspw in scienceSpws and birdieSpw==None):
build	18-Sep-2019 23:19:13	+                if verbose:
build	18-Sep-2019 23:19:13	+                    print("spw=%d (in %s), Computing IF = %f - %f" % (myspw, str(scienceSpws), birdieFreq, LOs[index[i]][0]))
build	18-Sep-2019 23:19:13	+                birdieIF = np.fabs(birdieFreq - LOs[index[i]][0])
build	18-Sep-2019 23:19:13	+        freqs = mymsmd.chanfreqs(myspw)
build	18-Sep-2019 23:19:13	+        meanFreqGHz = mymsmd.meanfreq(myspw) * (1e-9)
build	18-Sep-2019 23:19:13	+        if (myspw not in scienceSpws and showOnlyScienceSpws): continue
build	18-Sep-2019 23:19:13	+        if (len(freqs) < 2 and showChannelAverageSpws==False): 
build	18-Sep-2019 23:19:13	+            continue
build	18-Sep-2019 23:19:13	+        if (bands[index[i]].split('_')[-1].isdigit()):
build	18-Sep-2019 23:19:13	+            rxband = bands[index[i]].split('_')[-1]
build	18-Sep-2019 23:19:13	+        elif (showWVR):
build	18-Sep-2019 23:19:13	+            rxband = 'WVR'
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            continue
build	18-Sep-2019 23:19:13	+        line = "%2d  %2d  %d %3s " % (spws[index[i]], myspw, bbc[myspw], rxband)
build	18-Sep-2019 23:19:13	+        if (showCentralFreq):
build	18-Sep-2019 23:19:13	+            line += "%10.6f %4d " % (meanFreqGHz,len(freqs))
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            line += "%10.6f %4d " % (freqs[0],len(freqs))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+        if (LOs[index[i]][0] < 0):
build	18-Sep-2019 23:19:13	+            print(line)
build	18-Sep-2019 23:19:13	+            continue
build	18-Sep-2019 23:19:13	+        if (bbc[myspw] > 0):
build	18-Sep-2019 23:19:13	+            if (splitted):
build	18-Sep-2019 23:19:13	+                lo1s[i] = LOs[index[i]][0]
build	18-Sep-2019 23:19:13	+                lo2s[i] = LOs[index[i]][1]
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                lo1s[myspw] = LOs[index[i]][0]
build	18-Sep-2019 23:19:13	+                lo2s[myspw] = LOs[index[i]][1]
build	18-Sep-2019 23:19:13	+            for j in range(len(LOs[index[i]])):
build	18-Sep-2019 23:19:13	+                if (j != 2):
build	18-Sep-2019 23:19:13	+                    line = line + '%10.6f' % (LOs[index[i]][j]*1e-9)
build	18-Sep-2019 23:19:13	+                else:
build	18-Sep-2019 23:19:13	+                    line = line + '%5.2f' % (LOs[index[i]][j]*1e-9)
build	18-Sep-2019 23:19:13	+        yig = LOs[index[i]][0] / yigHarmonic(bands[index[i]])
build	18-Sep-2019 23:19:13	+        if (yig > 0):
build	18-Sep-2019 23:19:13	+            line = line + ' %.6f' % (yig*1e-9)
build	18-Sep-2019 23:19:13	+        if (myspw in fdmSpws):
build	18-Sep-2019 23:19:13	+            # work out what LO4 must have been
build	18-Sep-2019 23:19:13	+            LO1 = LOs[index[i]][0]
build	18-Sep-2019 23:19:13	+            LO2 = LOs[index[i]][1]
build	18-Sep-2019 23:19:13	+            LO3 = LOs[index[i]][2]
build	18-Sep-2019 23:19:13	+            if (sidebands[index[i]][0] == 'USB'):
build	18-Sep-2019 23:19:13	+                IFlocation = LO3 - (LO2 - (meanFreqGHz*1e9 - LO1))
build	18-Sep-2019 23:19:13	+            else:
build	18-Sep-2019 23:19:13	+                IFlocation = LO3 - (LO2 - (LO1 -  meanFreqGHz*1e9))
build	18-Sep-2019 23:19:13	+            LO4 = 2e9 + IFlocation
build	18-Sep-2019 23:19:13	+            TFBLOoffset = LO4-3e9
build	18-Sep-2019 23:19:13	+            line += '%9.3f %+8.3f ' % (LO4 * 1e-6,  TFBLOoffset * 1e-6)
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            line += 19*' '
build	18-Sep-2019 23:19:13	+        if (showEffective):    
build	18-Sep-2019 23:19:13	+            line += '%9.4f %9.4f %9.4f' % (effectiveBandwidth(vis, myspw)*1e-6,
build	18-Sep-2019 23:19:13	+                                           effectiveResolution(vis, myspw)*1e-6,
build	18-Sep-2019 23:19:13	+                                           getChanWidths(mymsmd, myspw)*1e-6)
build	18-Sep-2019 23:19:13	+        if (showWindowFactors):
build	18-Sep-2019 23:19:13	+            chanwidth = abs(getChanWidths(mymsmd,myspw))
build	18-Sep-2019 23:19:13	+            line += ' %.4f %.4f' % (effectiveBandwidth(vis, myspw)/chanwidth,
build	18-Sep-2019 23:19:13	+                                    effectiveResolution(vis, myspw)/chanwidth)
build	18-Sep-2019 23:19:13	+        if (bands[index[i]].find('ALMA_RB_06')>=0 or bands[index[i]].find('ALMA_RB_09')>=0):
build	18-Sep-2019 23:19:13	+            if (len(LOs[index[i]]) > 1):
build	18-Sep-2019 23:19:13	+                if (LOs[index[i]][1] < 11.3e9 and LOs[index[i]][1] > 10.5e9):
build	18-Sep-2019 23:19:13	+                    line = line + ' leakage of LO2 undesired sideband may degrade dynamic range'
build	18-Sep-2019 23:19:13	+                    if (bands[index[i]].find('ALMA_RB_06')>=0):
build	18-Sep-2019 23:19:13	+                        line += ' (and YIG may leak in)'
build	18-Sep-2019 23:19:13	+                    yigLeakage = LOs[index[i]][0] + (LOs[index[i]][1] - LOs[index[i]][2]) + (yig - LOs[index[i]][1])
build	18-Sep-2019 23:19:13	+                    if (yigLeakage > 0):
build	18-Sep-2019 23:19:13	+                        line = line + ' at %.6f' % (yigLeakage*1e-9)
build	18-Sep-2019 23:19:13	+        if (show): print(line)
build	18-Sep-2019 23:19:13	+    if needToClose:
build	18-Sep-2019 23:19:13	+        mymsmd.done()
build	18-Sep-2019 23:19:13	+    if (birdieIF != 0):
build	18-Sep-2019 23:19:13	+        print("The feature at %f GHz is at IF = %f GHz." % (birdieFreqGHz, birdieIF*1e-9))
build	18-Sep-2019 23:19:13	+    if (alsoReturnLO2):
build	18-Sep-2019 23:19:13	+        return(lo1s, lo2s)
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        return(lo1s)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def mjdSecondsToMJDandUT(mjdsec):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Converts a value of MJD seconds into MJD, and into a UT date/time string.
build	18-Sep-2019 23:19:13	+    example: (56000.0, '2012-03-14 00:00:00 UT')
build	18-Sep-2019 23:19:13	+    Caveat: only works for a scalar input value
build	18-Sep-2019 23:19:13	+    Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    myme = createCasaTool(metool)
build	18-Sep-2019 23:19:13	+    today = myme.epoch('utc','today')
build	18-Sep-2019 23:19:13	+    mjd = np.array(mjdsec) / 86400.
build	18-Sep-2019 23:19:13	+    today['m0']['value'] =  mjd
build	18-Sep-2019 23:19:13	+    myqa = createCasaTool(qatool)
build	18-Sep-2019 23:19:13	+    hhmmss = myqa.time(today['m0'], form='', prec=0, showform=False)[0]
build	18-Sep-2019 23:19:13	+#    print("hhmmss = ", hhmmss)
build	18-Sep-2019 23:19:13	+    date = myqa.splitdate(today['m0'])
build	18-Sep-2019 23:19:13	+    myqa.done()
build	18-Sep-2019 23:19:13	+    utstring = "%s-%02d-%02d %s UT" % (date['year'],date['month'],date['monthday'],hhmmss)
build	18-Sep-2019 23:19:13	+    myme.done()
build	18-Sep-2019 23:19:13	+    return(mjd, utstring)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def ComputeSolarAzElForObservatory(mjdsec, mymsmd):
build	18-Sep-2019 23:19:13	+    pos =  mymsmd.observatoryposition()
build	18-Sep-2019 23:19:13	+    longitude = pos['m0']['value'] * 180/np.pi
build	18-Sep-2019 23:19:13	+    latitude = pos['m1']['value'] * 180/np.pi
build	18-Sep-2019 23:19:13	+    return(ComputeSolarAzElLatLong(mjdsec,latitude,longitude))
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def ComputeSolarAzElLatLong(mjdsec,latitude,longitude):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Computes the apparent Az,El of the Sun for a specified time and location
build	18-Sep-2019 23:19:13	+    on Earth.  Latitude and longitude must arrive in degrees, with positive
build	18-Sep-2019 23:19:13	+    longitude meaning east of Greenwich.
build	18-Sep-2019 23:19:13	+    -- Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    DEG_TO_RAD = math.pi/180.
build	18-Sep-2019 23:19:13	+    RAD_TO_DEG = 180/math.pi
build	18-Sep-2019 23:19:13	+    HRS_TO_RAD = math.pi/12.
build	18-Sep-2019 23:19:13	+    [RA,Dec] = ComputeSolarRADec(mjdsec)
build	18-Sep-2019 23:19:13	+    LST = ComputeLST(mjdsec, longitude)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    phi = latitude*DEG_TO_RAD
build	18-Sep-2019 23:19:13	+    hourAngle = HRS_TO_RAD*(LST - RA)
build	18-Sep-2019 23:19:13	+    azimuth = RAD_TO_DEG*math.atan2(math.sin(hourAngle), (math.cos(hourAngle)*math.sin(phi) - math.tan(Dec*DEG_TO_RAD)*math.cos(phi)))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    # the following is to convert from South=0 (which the French formula uses)
build	18-Sep-2019 23:19:13	+    # to North=0, which is what the rest of the world uses */
build	18-Sep-2019 23:19:13	+    azimuth += 180.0;
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    if (azimuth > 360.0):
build	18-Sep-2019 23:19:13	+        azimuth -= 360.0
build	18-Sep-2019 23:19:13	+    if (azimuth < 0.0):
build	18-Sep-2019 23:19:13	+        azimuth += 360.0
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    argument = math.sin(phi)*math.sin(Dec*DEG_TO_RAD) + math.cos(phi)*math.cos(Dec*DEG_TO_RAD) * math.cos(hourAngle);
build	18-Sep-2019 23:19:13	+    elevation = RAD_TO_DEG*math.asin(argument);
build	18-Sep-2019 23:19:13	+    return([azimuth,elevation])
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def ComputeSolarRADec(mjdsec):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Computes the RA,Dec of the Sun for a specified time. -- Todd Hunter
build	18-Sep-2019 23:19:13	+    """   
build	18-Sep-2019 23:19:13	+    jd = mjdToJD(mjdsec/86400.)
build	18-Sep-2019 23:19:13	+    RAD_TO_DEG = 180/math.pi
build	18-Sep-2019 23:19:13	+    RAD_TO_HRS = (1.0/0.2617993877991509)
build	18-Sep-2019 23:19:13	+    DEG_TO_RAD = math.pi/180.
build	18-Sep-2019 23:19:13	+    T = (jd - 2451545.0) / 36525.0
build	18-Sep-2019 23:19:13	+    Lo = 280.46646 + 36000.76983*T + 0.0003032*T*T
build	18-Sep-2019 23:19:13	+    M = 357.52911 + 35999.05029*T - 0.0001537*T*T
build	18-Sep-2019 23:19:13	+    Mrad = M * DEG_TO_RAD
build	18-Sep-2019 23:19:13	+    e = 0.016708634 - 0.000042037*T - 0.0000001267*T*T
build	18-Sep-2019 23:19:13	+    C = (1.914602 - 0.004817*T - 0.000014*T*T) * math.sin(Mrad) +  (0.019993 - 0.000101*T) * math.sin(2*Mrad) + 0.000289*math.sin(3*Mrad)
build	18-Sep-2019 23:19:13	+    L = Lo + C
build	18-Sep-2019 23:19:13	+    nu = DEG_TO_RAD*(M + C)
build	18-Sep-2019 23:19:13	+    R = 1.000001018 * (1-e*e) / (1 + e*math.cos(nu))
build	18-Sep-2019 23:19:13	+    Omega = DEG_TO_RAD*(125.04 - 1934.136*T)
build	18-Sep-2019 23:19:13	+    mylambda = DEG_TO_RAD*(L - 0.00569 - 0.00478 * math.sin(Omega))  
build	18-Sep-2019 23:19:13	+    epsilon0 = (84381.448 - 46.8150*T - 0.00059*T*T + 0.001813*T*T*T) / 3600.
build	18-Sep-2019 23:19:13	+    epsilon = (epsilon0 + 0.00256 * math.cos(Omega)) * DEG_TO_RAD
build	18-Sep-2019 23:19:13	+    rightAscension = RAD_TO_HRS*math.atan2(math.cos(epsilon)*math.sin(mylambda), math.cos(mylambda))
build	18-Sep-2019 23:19:13	+    if (rightAscension < 0):
build	18-Sep-2019 23:19:13	+        rightAscension += 24.0
build	18-Sep-2019 23:19:13	+    argument = math.sin(epsilon) * math.sin(mylambda)
build	18-Sep-2019 23:19:13	+    declination = RAD_TO_DEG*math.asin(argument)
build	18-Sep-2019 23:19:13	+    return([rightAscension, declination])
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	+def angularSeparation(ra0,dec0,ra1,dec1, returnComponents=False):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Usage:  angularSeparation(ra0,dec0,ra1,dec1)
build	18-Sep-2019 23:19:13	+    Computes the great circle angle between two celestial coordinates.
build	18-Sep-2019 23:19:13	+    using the Vincenty formula (from wikipedia) which is correct for all
build	18-Sep-2019 23:19:13	+    angles, as long as you use atan2() to handle a zero denominator.  
build	18-Sep-2019 23:19:13	+    See  http://en.wikipedia.org/wiki/Great_circle_distance
build	18-Sep-2019 23:19:13	+    ra,dec must be given in degrees, as is the output.
build	18-Sep-2019 23:19:13	+    It also works for the az,el coordinate system.
build	18-Sep-2019 23:19:13	+    Comopnent separations are field_0 minus field_1.
build	18-Sep-2019 23:19:13	+    See also angularSeparationRadians()
build	18-Sep-2019 23:19:13	+    -- Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    ra0 *= math.pi/180.
build	18-Sep-2019 23:19:13	+    dec0 *= math.pi/180.
build	18-Sep-2019 23:19:13	+    ra1 *= math.pi/180.
build	18-Sep-2019 23:19:13	+    dec1 *= math.pi/180.
build	18-Sep-2019 23:19:13	+    deltaLong = ra0-ra1
build	18-Sep-2019 23:19:13	+    argument1 = (((math.cos(dec1)*math.sin(deltaLong))**2) +
build	18-Sep-2019 23:19:13	+                 ((math.cos(dec0)*math.sin(dec1)-math.sin(dec0)*math.cos(dec1)*math.cos(deltaLong))**2))**0.5
build	18-Sep-2019 23:19:13	+    argument2 = math.sin(dec0)*math.sin(dec1) + math.cos(dec0)*math.cos(dec1)*math.cos(deltaLong)
build	18-Sep-2019 23:19:13	+    angle = math.atan2(argument1, argument2) / (math.pi/180.)
build	18-Sep-2019 23:19:13	+    if (returnComponents):
build	18-Sep-2019 23:19:13	+        radegrees = (ra0-ra1)*180/math.pi
build	18-Sep-2019 23:19:13	+        decdegrees = (dec0-dec1)*180/math.pi
build	18-Sep-2019 23:19:13	+        retval = angle,radegrees,decdegrees
build	18-Sep-2019 23:19:13	+    else:
build	18-Sep-2019 23:19:13	+        retval = angle
build	18-Sep-2019 23:19:13	+    return(retval)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def ComputeDewPointCFromRHAndTempC(relativeHumidity, temperature):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    inputs:  relativeHumidity in percentage, temperature in C
build	18-Sep-2019 23:19:13	+    output: in degrees C
build	18-Sep-2019 23:19:13	+    Uses formula from http://en.wikipedia.org/wiki/Dew_point#Calculating_the_dew_point
build	18-Sep-2019 23:19:13	+    Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    temperature = np.array(temperature)            # protect against it being a list
build	18-Sep-2019 23:19:13	+    relativeHumidity = np.array(relativeHumidity)  # protect against it being a list
build	18-Sep-2019 23:19:13	+    es = 6.112*np.exp(17.67*temperature/(temperature+243.5))
build	18-Sep-2019 23:19:13	+    E = relativeHumidity*0.01*es
build	18-Sep-2019 23:19:13	+    dewPoint = 243.5*np.log(E/6.112)/(17.67-np.log(E/6.112))
build	18-Sep-2019 23:19:13	+    return(dewPoint)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def ComputeLST(mjdsec, longitude):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Computes the LST (in hours) for a specified time and longitude. 
build	18-Sep-2019 23:19:13	+    The input longitude is in degrees, where east of Greenwich is positive.
build	18-Sep-2019 23:19:13	+    -- Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    JD = mjdToJD(mjdsec/86400.)
build	18-Sep-2019 23:19:13	+    T = (JD - 2451545.0) / 36525.0
build	18-Sep-2019 23:19:13	+    sidereal = 280.46061837 + 360.98564736629*(JD - 2451545.0) + 0.000387933*T*T - T*T*T/38710000.
build	18-Sep-2019 23:19:13	+    # now we have LST in Greenwich, need to scale back to site
build	18-Sep-2019 23:19:13	+    sidereal += longitude
build	18-Sep-2019 23:19:13	+    sidereal /= 360.
build	18-Sep-2019 23:19:13	+    sidereal -= np.floor(sidereal)
build	18-Sep-2019 23:19:13	+    sidereal *= 24.0
build	18-Sep-2019 23:19:13	+    if (sidereal < 0):
build	18-Sep-2019 23:19:13	+        sidereal += 24
build	18-Sep-2019 23:19:13	+    if (sidereal >= 24):
build	18-Sep-2019 23:19:13	+        sidereal -= 24
build	18-Sep-2019 23:19:13	+    return(sidereal)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def mjdToJD(MJD):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Converts an MJD value to JD
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    JD = MJD + 2400000.5
build	18-Sep-2019 23:19:13	+    return(JD)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def splitListIntoContiguousLists(mylist):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Converts [1,2,3,5,6,7] into [[1,2,3],[5,6,7]], etc.
build	18-Sep-2019 23:19:13	+    -Todd Hunter
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    mylists = []
build	18-Sep-2019 23:19:13	+    newlist = [mylist[0]]
build	18-Sep-2019 23:19:13	+    for i in range(1,len(mylist)):
build	18-Sep-2019 23:19:13	+        if (mylist[i-1] != mylist[i]-1):
build	18-Sep-2019 23:19:13	+            mylists.append(newlist)
build	18-Sep-2019 23:19:13	+            newlist = [mylist[i]]
build	18-Sep-2019 23:19:13	+        else:
build	18-Sep-2019 23:19:13	+            newlist.append(mylist[i])
build	18-Sep-2019 23:19:13	+    mylists.append(newlist)
build	18-Sep-2019 23:19:13	+    return(mylists)
build	18-Sep-2019 23:19:13	+ 
build	18-Sep-2019 23:19:13	+# Removed for CAS-8065   
build	18-Sep-2019 23:19:13	+#def getScansForTimes(mymsmd, scantimes):
build	18-Sep-2019 23:19:13	+#    myscans = []
build	18-Sep-2019 23:19:13	+#    myscantimes = []
build	18-Sep-2019 23:19:13	+##    print("len(scantimes) = ", len(scantimes))
build	18-Sep-2019 23:19:13	+#    scantimes = splitListIntoContiguousLists(scantimes)
build	18-Sep-2019 23:19:13	+#    for t in scantimes:
build	18-Sep-2019 23:19:13	+#        mean_t = np.mean(t)
build	18-Sep-2019 23:19:13	+#        range_t = (1+np.max(t)-np.min(t))*0.5
build	18-Sep-2019 23:19:13	+#        scans_t = mymsmd.scansfortimes(mean_t, range_t)
build	18-Sep-2019 23:19:13	+#        if (len(scans_t) > 0):
build	18-Sep-2019 23:19:13	+#            scan = scans_t[0]
build	18-Sep-2019 23:19:13	+#            #        print("scansfortime(%f) = " % (t), scan)
build	18-Sep-2019 23:19:13	+#            myscans.append(scan)
build	18-Sep-2019 23:19:13	+#            myscantimes.append(t)
build	18-Sep-2019 23:19:13	+#    return(myscans, myscantimes)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def pruneFilelist(filelist):
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    Reduce size of filenames in filelist to the extent that current working directory
build	18-Sep-2019 23:19:13	+    agrees with the path.
build	18-Sep-2019 23:19:13	+    """
build	18-Sep-2019 23:19:13	+    mypwd = os.getcwd() + '/'
build	18-Sep-2019 23:19:13	+    newfilelist = []
build	18-Sep-2019 23:19:13	+    for f in filelist:
build	18-Sep-2019 23:19:13	+        fstart = 0
build	18-Sep-2019 23:19:13	+        if (f.find(mypwd) == 0):
build	18-Sep-2019 23:19:13	+            fstart = len(mypwd)
build	18-Sep-2019 23:19:13	+        newfilelist.append(f[fstart:])
build	18-Sep-2019 23:19:13	+    return(newfilelist)
build	18-Sep-2019 23:19:13	+    
build	18-Sep-2019 23:19:13	diff --git a/tests/tasks/test_fringefit.py b/tests/tasks/test_fringefit.py
build	18-Sep-2019 23:19:13	new file mode 100644
build	18-Sep-2019 23:19:13	index 0000000..e0c4186
build	18-Sep-2019 23:19:13	--- /dev/null
build	18-Sep-2019 23:19:13	+++ b/tests/tasks/test_fringefit.py
build	18-Sep-2019 23:19:13	@@ -0,0 +1,67 @@
build	18-Sep-2019 23:19:13	+from __future__ import absolute_import
build	18-Sep-2019 23:19:13	+from __future__ import print_function
build	18-Sep-2019 23:19:13	+import os
build	18-Sep-2019 23:19:13	+import sys
build	18-Sep-2019 23:19:13	+import shutil
build	18-Sep-2019 23:19:13	+import unittest
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+# is_CASA6 and is_python3
build	18-Sep-2019 23:19:13	+from casatasks.private.casa_transition import *
build	18-Sep-2019 23:19:13	+if is_CASA6:
build	18-Sep-2019 23:19:13	+    from casatools import ms, ctsys
build	18-Sep-2019 23:19:13	+    from casatasks import fringefit
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    ctsys_resolve = ctsys.resolve
build	18-Sep-2019 23:19:13	+else:
build	18-Sep-2019 23:19:13	+    from __main__ import default
build	18-Sep-2019 23:19:13	+    from tasks import *
build	18-Sep-2019 23:19:13	+    from taskinit import *
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    dataRoot = os.path.join(os.environ.get('CASAPATH').split()[0],'data')
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    def ctsys_resolve(apath):
build	18-Sep-2019 23:19:13	+        return os.path.join(dataRoot,apath)
build	18-Sep-2019 23:19:13	+        
build	18-Sep-2019 23:19:13	+if is_python3:
build	18-Sep-2019 23:19:13	+    ### for testhelper import
build	18-Sep-2019 23:19:13	+    sys.path.append(os.path.abspath(os.path.dirname(__file__)))
build	18-Sep-2019 23:19:13	+    import testhelper as th
build	18-Sep-2019 23:19:13	+else:
build	18-Sep-2019 23:19:13	+    import testhelper as th
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+datapath = ctsys_resolve('regression/evn')
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+class Fringefit_tests(unittest.TestCase):
build	18-Sep-2019 23:19:13	+    prefix = 'n08c1'
build	18-Sep-2019 23:19:13	+    msfile = prefix + '.ms'
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    def setUp(self):
build	18-Sep-2019 23:19:13	+        shutil.copytree(os.path.join(datapath, self.msfile), self.msfile)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    def tearDown(self):
build	18-Sep-2019 23:19:13	+        shutil.rmtree(self.msfile)
build	18-Sep-2019 23:19:13	+        shutil.rmtree(self.prefix + '.sbdcal', True)
build	18-Sep-2019 23:19:13	+        shutil.rmtree(self.prefix + '-zerorates.sbdcal', True)
build	18-Sep-2019 23:19:13	+        shutil.rmtree(self.prefix + '.mbdcal', True)
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    def test_sbd(self):
build	18-Sep-2019 23:19:13	+        sbdcal = self.prefix + '.sbdcal'
build	18-Sep-2019 23:19:13	+        fringefit(vis=self.msfile, caltable=sbdcal, refant='EF')
build	18-Sep-2019 23:19:13	+        reference = os.path.join(datapath, sbdcal)
build	18-Sep-2019 23:19:13	+        self.assertTrue(th.compTables(sbdcal, reference, ['WEIGHT']))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+    def test_mbd(self):
build	18-Sep-2019 23:19:13	+        sbdcal = self.prefix + '-zerorates.sbdcal'
build	18-Sep-2019 23:19:13	+        mbdcal = self.prefix + '.mbdcal'
build	18-Sep-2019 23:19:13	+        fringefit(vis=self.msfile, caltable=sbdcal, field='4C39.25',
build	18-Sep-2019 23:19:13	+                  refant='EF', zerorates=True)
build	18-Sep-2019 23:19:13	+        fringefit(vis=self.msfile, caltable=mbdcal, field='J0916+3854',
build	18-Sep-2019 23:19:13	+                   combine='spw', gaintable=[sbdcal], refant='EF')
build	18-Sep-2019 23:19:13	+        reference = os.path.join(datapath, mbdcal)
build	18-Sep-2019 23:19:13	+        self.assertTrue(th.compTables(mbdcal, reference, ['WEIGHT']))
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+def suite():
build	18-Sep-2019 23:19:13	+    return [Fringefit_tests]
build	18-Sep-2019 23:19:13	+
build	18-Sep-2019 23:19:13	+if __name__ == '__main__':
build	18-Sep-2019 23:19:13	+    unittest.main()
build	18-Sep-2019 23:19:14	Argument values:
build	18-Sep-2019 23:19:14	casatasks
build	18-Sep-2019 23:19:14	/export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1/casatasks
build	18-Sep-2019 23:19:14	master
build	18-Sep-2019 23:19:14	None
build	18-Sep-2019 23:19:14	Last Tag: 2019.150
build	18-Sep-2019 23:19:14	New Tag: 2019.151
build	18-Sep-2019 23:19:14	Creating a new tag
build	18-Sep-2019 23:19:14	
build	18-Sep-2019 23:19:14	None
build	18-Sep-2019 23:19:14	Push enabled. Pushing new tag upstream.
build	18-Sep-2019 23:19:14	To ssh://git@open-bitbucket.nrao.edu:7999/casa/casatasks.git
build	18-Sep-2019 23:19:14	 * [new tag]         2019.151 -> 2019.151
build	18-Sep-2019 23:19:14	
build	18-Sep-2019 23:19:14	None
simple	18-Sep-2019 23:19:14	Finished task 'Create wheel' with result: Success
simple	18-Sep-2019 23:19:14	Running post build plugin 'Docker Container Cleanup'
command	18-Sep-2019 23:19:14	Beginning to execute external process for build 'CASA - Casa6 Tasks Wheel Build - Build and Package RHEL6 #146 (CASA-CTB-JOB1-146)'\n ... running command line: \n/bin/docker rm -f task-wheel-container\n ... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CTB-JOB1\n
build	18-Sep-2019 23:19:15	task-wheel-container
simple	18-Sep-2019 23:19:15	Running post build plugin 'NCover Results Collector'
simple	18-Sep-2019 23:19:15	Running post build plugin 'Clover Results Collector'
simple	18-Sep-2019 23:19:15	Running post build plugin 'npm Cache Cleanup'
simple	18-Sep-2019 23:19:15	Running post build plugin 'Artifact Copier'
simple	18-Sep-2019 23:19:15	Publishing an artifact: EL6 wheel
simple	18-Sep-2019 23:19:15	Finished publishing of artifact Non required shared artifact: [EL6 wheel], pattern: [*-any.whl] anchored at: [wheeldirectory/] in 165.7 ms
simple	18-Sep-2019 23:19:15	Finalising the build...
simple	18-Sep-2019 23:19:15	Stopping timer.
simple	18-Sep-2019 23:19:15	Build CASA-CTB-JOB1-146 completed.
simple	18-Sep-2019 23:19:15	Running on server: post build plugin 'NCover Results Collector'
simple	18-Sep-2019 23:19:15	Running on server: post build plugin 'Build Hanging Detection Configuration'
simple	18-Sep-2019 23:19:15	Running on server: post build plugin 'Clover Delta Calculator'
simple	18-Sep-2019 23:19:15	Running on server: post build plugin 'Maven Dependencies Postprocessor'
simple	18-Sep-2019 23:19:15	All post build plugins have finished
simple	18-Sep-2019 23:19:15	Generating build results summary...
simple	18-Sep-2019 23:19:15	Saving build results to disk...
simple	18-Sep-2019 23:19:15	Logging substituted variables...
simple	18-Sep-2019 23:19:15	Indexing build results...
simple	18-Sep-2019 23:19:15	Finished building CASA-CTB-JOB1-146.