Source
import os
import time
import datetime
import regression_utility as regutl
import sys, traceback
import numpy as np
import pipeline
pathname = os.environ.get('CASAPATH').split()[0]
rootdatapath = pathname+'/data/regression/pipeline/'
'''Initial VLA pipeline regression
B. Kent, May 2015
Update September 1, 2015
Update April 20, 2018
'''
THISHOME = "working/"
startTime=0.0
endTime=0.0
startProc=0.0
endProc=0.0
regstate = True
standard_file = rootdatapath + 'VLApipeline44-standard'
# MIN_CASA_REVISION = 36095
def load_context(filename):
with open(filename, 'rb') as picklefile:
return pipeline.infrastructure.utils.pickle_load(picklefile)
#
EPS = 1e-5 # Logical "zero"
#
#--------------------------------------------------------------
#
def pipeline_regression():
global regstate
# global MIN_CASA_REVISION
#revision = int(casadef.subversion_revision)
#if MIN_CASA_REVISION > revision:
# msg = ('Minimum CASA revision for the pipeline is r%s, '
# 'got CASA %s (r%s).' % (MIN_CASA_REVISION,
# cu.version_info( ),
# casadef.subversion_revision))
# print msg
# regstate = False
# raise EnvironmentError(msg)
# ASDM = "/export/home/icarus_2/awells/CASA_stable/data/regression/foo/vla_pipeline_data/rawdata/13A-537.sb24066356.eb24324502.56514.05971091435"
ASDM = rootdatapath + "13A-537.sb24066356.eb24324502.56514.05971091435"
try:
import pipeline.recipes.hifv as hifv
except ImportError, e:
print e