casa5

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