def read_options():
default_values = Parset.value_dict
attrs = Parset.attr_dict
desc = """Questions and suggestions: [email protected]"""
OP = MyOptParse.MyOptParse(usage='Usage: %prog [parset file] <options>',
version='%prog version ' + report_version(),
description=desc,
defaults=default_values,
attributes=attrs)
# create options based on contents of parset
for section in Parset.sections:
values = default_values[section]
# "_Help" value in each section is its documentation string
OP.OptionGroup(values.get("_Help", section), section)
for name, value in default_values[section].iteritems():
if not attrs[section][name].get("no_cmdline"):
OP.add_option(name, value)
OP.Finalise()
OP.ReadInput()
# #optcomplete.autocomplete(opt)
# options, arguments = opt.parse_args()
MyPickle.Save(OP, SaveFile)
return OP
def __init__(self,
ImageName,
ImShape,
Cell,
radec,
Freqs=None,
KeepCasa=False,
Stokes=["I"],
header_dict=None,
history=None):
""" Create internal data structures, then call CreateScratch to
make the image itself.
header_dict is a dict of FITS keywords to add.
history is a list of strings to put in the history
"""
if KeepCasa:
raise RuntimeError('KeepCasa = True is not implemented!')
self.Cell = Cell
self.radec = radec
self.KeepCasa = KeepCasa
self.Freqs = Freqs
self.Stokes = [ClassStokes.FitsStokesTypes[sid] for sid in Stokes]
self.sorted_stokes = [s for s in self.Stokes]
self.sorted_stokes.sort()
self.header_dict = header_dict
#work out the FITS spacing between stokes parameters
if len(self.sorted_stokes) > 1:
self.delta_stokes = self.sorted_stokes[1] - self.sorted_stokes[0]
else:
self.delta_stokes = 1
for si in range(len(self.sorted_stokes) - 1):
if self.sorted_stokes[
si + 1] - self.sorted_stokes[si] != self.delta_stokes:
raise RuntimeError(
"Your selection of Stokes parameters cannot "
"be stored in a FITS file. The selection must be linearly spaced."
"See FITS standard 3.0 (A&A 524 A42) Table 28 for the indices of the stokes "
"parameters you want to image.")
self.ImShape = ImShape
self.nch, self.npol, self.Npix, _ = ImShape
self.ImageName = ImageName
#print "image refpix:",rad2hmsdms.rad2hmsdms(radec[0],Type="ra").replace(" ",":"),", ",rad2hmsdms.rad2hmsdms(radec[1],Type="dec").replace(" ",".")
self.imageFlipped = False
self.createScratch()
# Fill in some standard keywords
self.header['ORIGIN'] = 'DDFacet ' + report_version()
self.header['BTYPE'] = 'Intensity'
self.header['BUNIT'] = 'Jy/beam'
self.header['SPECSYS'] = 'TOPOCENT'
if header_dict is not None:
for k in header_dict:
self.header[k] = header_dict[k]
if history is not None:
if isinstance(history, str):
history = [history]
for h in history:
self.header['HISTORY'] = h
# import warnings
# warnings.filterwarnings('error')
# #with warnings.catch_warnings():
# # warnings.filterwarnings('error')
# # ##############################
'''
The defaults for all the user commandline arguments are stored in a parset configuration file
called DefaultParset.cfg. When you add a new option you must specify meaningful defaults in
there.
These options can be overridden by specifying a subset of the parset options in a user parset file
passed as the first commandline argument. These options will override the corresponding defaults.
'''
import DDFacet
print("DDFacet version is",report_version())
print("Using python package located at: " + os.path.dirname(DDFacet.__file__))
print("Using driver file located at: " + __file__)
global Parset
Parset = ReadCFG.Parset("%s/DefaultParset.cfg" % os.path.dirname(DDFacet.Parset.__file__))
def read_options():
default_values = Parset.value_dict
attrs = Parset.attr_dict
desc = """Questions and suggestions: [email protected]"""
OP = MyOptParse.MyOptParse(usage='Usage: %prog [parset file] <options>', version='%prog version '+report_version(),
description=desc, defaults=default_values, attributes=attrs)