##################### generated by xml-casa (v2) from hif_correctedampflag.xml ######
##################### 4bc94ea03b87498cd3276cd7b371f867 ##############################
from __future__ import absolute_import
from casashell.private.stack_manip import find_local as __sf__
from casashell.private.stack_manip import find_frame as _find_frame
from casatools.typecheck import validator as _pc
from casatools.coercetype import coerce as _coerce
from pipeline.hif.cli import hif_correctedampflag as _hif_correctedampflag_t
from collections import OrderedDict
import numpy
import sys
import os
import shutil
[docs]def static_var(varname, value):
def decorate(func):
setattr(func, varname, value)
return func
return decorate
class _hif_correctedampflag:
"""
hif_correctedampflag ---- Flag corrected - model amplitudes based on calibrators.
Flag corrected - model amplitudes based on calibrators.
Output
results -- If pipeline mode is 'getinputs' then None is returned. Otherwise
the results object for the pipeline task is returned.
--------- parameter descriptions ---------------------------------------------
vis The list of input MeasurementSets. Defaults to the list of
MeasurementSets specified in the h_init or hif_importdata task.
'': use all MeasurementSets in the context
Examples: 'ngc5921.ms', ['ngc5921a.ms', ngc5921b.ms', 'ngc5921c.ms']
intent A string containing a comma delimited list of intents against
which the selected fields are matched. If undefined (default),
it will select all data with the BANDPASS intent.
Example: intent='*PHASE*'
field The list of field names or field ids for which bandpasses are
computed. If undefined (default), it will select all fields.
Examples: field='3C279', '3C279, M82'
spw The list of spectral windows and channels for which bandpasses
are computed. If undefined (default), it will select all
science spectral windows.
Example: spw='11,13,15,17'
antnegsig Lower sigma threshold for identifying outliers as a result of bad antennas within individual timestamps
antpossig Upper sigma threshold for identifying outliers as a result of bad antennas within individual timestamps
tmantint Threshold for maximum fraction of timestamps that are allowed to contain outliers
tmint Initial threshold for maximum fraction of "outlier timestamps" over "total timestamps" that a baseline may be a part of
tmbl Initial threshold for maximum fraction of "bad baselines" over "all timestamps" that an antenna may be a part of
antblnegsig Lower sigma threshold for identifying outliers as a result of "bad baselines" and/or "bad antennas" within baselines (across all timestamps)
antblpossig Upper sigma threshold for identifying outliers as a result of "bad baselines" and/or "bad antennas" within baselines (across all timestamps)
relaxed_factor Relaxed value to set the threshold scaling factor to under certain conditions (see task description)
niter Maximum number of times to iterate on evaluation of flagging
heuristics. If an iteration results in no new flags, then
subsequent iterations are skipped.
pipelinemode The pipeline operating mode.
In 'automatic' mode the pipeline determines the values of all
context defined pipeline inputs automatically.
In 'interactive' mode the user can set the pipeline context
defined parameters manually.
In 'getinputs' mode the user can check the settings of all
pipeline parameters without running the task.
dryrun Run the task (False) or just display the command (True)
acceptresults Add the results of the task to the pipeline context (True) or
reject them (False).
--------- examples -----------------------------------------------------------
Run default flagging on bandpass calibrator with recommended settings:
hif_correctedampflag()
"""
_info_group_ = """pipeline"""
_info_desc_ = """Flag corrected - model amplitudes based on calibrators."""
__schema = {'vis': {'type': 'cStrVec', 'coerce': [_coerce.to_list,_coerce.to_strvec]}, 'intent': {'type': 'cStr', 'coerce': _coerce.to_str}, 'field': {'type': 'cStr', 'coerce': _coerce.to_str}, 'spw': {'type': 'cStr', 'coerce': _coerce.to_str}, 'antnegsig': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'antpossig': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'tmantint': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'tmint': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'tmbl': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'antblnegsig': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'antblpossig': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'relaxed_factor': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'niter': {'type': 'cInt'}, 'pipelinemode': {'type': 'cStr', 'coerce': _coerce.to_str, 'allowed': [ 'automatic', 'interactive', 'getinputs' ]}, 'dryrun': {'type': 'cBool'}, 'acceptresults': {'type': 'cBool'}}
def __init__(self):
self.__stdout = None
self.__stderr = None
self.__root_frame_ = None
def __globals_(self):
if self.__root_frame_ is None:
self.__root_frame_ = _find_frame( )
assert self.__root_frame_ is not None, "could not find CASAshell global frame"
return self.__root_frame_
def __to_string_(self,value):
if type(value) is str:
return "'%s'" % value
else:
return str(value)
def __validate_(self,doc,schema):
return _pc.validate(doc,schema)
def __do_inp_output(self,param_prefix,description_str,formatting_chars):
out = self.__stdout or sys.stdout
description = description_str.split( )
prefix_width = 23 + 17 + 4
output = [ ]
addon = ''
first_addon = True
while len(description) > 0:
## starting a new line.....................................................................
if len(output) == 0:
## for first line add parameter information............................................
if len(param_prefix)-formatting_chars > prefix_width - 1:
output.append(param_prefix)
continue
addon = param_prefix + ' #'
first_addon = True
addon_formatting = formatting_chars
else:
## for subsequent lines space over prefix width........................................
addon = (' ' * prefix_width) + '#'
first_addon = False
addon_formatting = 0
## if first word of description puts us over the screen width, bail........................
if len(addon + description[0]) - addon_formatting + 1 > self.term_width:
## if we're doing the first line make sure it's output.................................
if first_addon: output.append(addon)
break
while len(description) > 0:
## if the next description word puts us over break for the next line...................
if len(addon + description[0]) - addon_formatting + 1 > self.term_width: break
addon = addon + ' ' + description[0]
description.pop(0)
output.append(addon)
out.write('\n'.join(output) + '\n')
#--------- return nonsubparam values ----------------------------------------------
def __pipelinemode_dflt( self, glb ):
return 'automatic'
def __pipelinemode( self, glb ):
if 'pipelinemode' in glb: return glb['pipelinemode']
return 'automatic'
#--------- return inp/go default --------------------------------------------------
def __dryrun_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(False)
return None
def __antblnegsig_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(3.4)
return None
def __tmbl_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(0.175)
return None
def __field_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return ""
return None
def __intent_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return ""
return None
def __antpossig_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(4.6)
return None
def __tmantint_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(0.063)
return None
def __vis_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return []
if self.__pipelinemode( glb ) == "getinputs": return []
return None
def __acceptresults_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return bool(True)
return None
def __tmint_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(0.085)
return None
def __relaxed_factor_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(2.0)
return None
def __niter_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return int(2)
return None
def __antnegsig_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(4.0)
return None
def __spw_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return ""
return None
def __antblpossig_dflt( self, glb ):
if self.__pipelinemode( glb ) == "interactive": return float(3.2)
return None
#--------- return subparam values -------------------------------------------------
def __vis( self, glb ):
if 'vis' in glb: return glb['vis']
dflt = self.__vis_dflt( glb )
if dflt is not None: return dflt
return [ ]
def __intent( self, glb ):
if 'intent' in glb: return glb['intent']
dflt = self.__intent_dflt( glb )
if dflt is not None: return dflt
return ''
def __field( self, glb ):
if 'field' in glb: return glb['field']
dflt = self.__field_dflt( glb )
if dflt is not None: return dflt
return ''
def __spw( self, glb ):
if 'spw' in glb: return glb['spw']
dflt = self.__spw_dflt( glb )
if dflt is not None: return dflt
return ''
def __antnegsig( self, glb ):
if 'antnegsig' in glb: return glb['antnegsig']
dflt = self.__antnegsig_dflt( glb )
if dflt is not None: return dflt
return float(4.0)
def __antpossig( self, glb ):
if 'antpossig' in glb: return glb['antpossig']
dflt = self.__antpossig_dflt( glb )
if dflt is not None: return dflt
return float(4.6)
def __tmantint( self, glb ):
if 'tmantint' in glb: return glb['tmantint']
dflt = self.__tmantint_dflt( glb )
if dflt is not None: return dflt
return float(0.063)
def __tmint( self, glb ):
if 'tmint' in glb: return glb['tmint']
dflt = self.__tmint_dflt( glb )
if dflt is not None: return dflt
return float(0.085)
def __tmbl( self, glb ):
if 'tmbl' in glb: return glb['tmbl']
dflt = self.__tmbl_dflt( glb )
if dflt is not None: return dflt
return float(0.175)
def __antblnegsig( self, glb ):
if 'antblnegsig' in glb: return glb['antblnegsig']
dflt = self.__antblnegsig_dflt( glb )
if dflt is not None: return dflt
return float(3.4)
def __antblpossig( self, glb ):
if 'antblpossig' in glb: return glb['antblpossig']
dflt = self.__antblpossig_dflt( glb )
if dflt is not None: return dflt
return float(3.2)
def __relaxed_factor( self, glb ):
if 'relaxed_factor' in glb: return glb['relaxed_factor']
dflt = self.__relaxed_factor_dflt( glb )
if dflt is not None: return dflt
return float(2.0)
def __niter( self, glb ):
if 'niter' in glb: return glb['niter']
dflt = self.__niter_dflt( glb )
if dflt is not None: return dflt
return int(2)
def __dryrun( self, glb ):
if 'dryrun' in glb: return glb['dryrun']
dflt = self.__dryrun_dflt( glb )
if dflt is not None: return dflt
return False
def __acceptresults( self, glb ):
if 'acceptresults' in glb: return glb['acceptresults']
dflt = self.__acceptresults_dflt( glb )
if dflt is not None: return dflt
return True
#--------- subparam inp output ----------------------------------------------------
def __vis_inp(self):
if self.__vis_dflt( self.__globals_( ) ) is not None:
description = 'List of input MeasurementSets'
value = self.__vis( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'vis': value},{'vis': self.__schema['vis']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('vis',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __intent_inp(self):
if self.__intent_dflt( self.__globals_( ) ) is not None:
description = 'Data intent to use in selecting data to evaluate for flagging'
value = self.__intent( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'intent': value},{'intent': self.__schema['intent']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('intent',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __field_inp(self):
if self.__field_dflt( self.__globals_( ) ) is not None:
description = 'Field ids to use in selecting data to evaluate for flagging'
value = self.__field( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'field': value},{'field': self.__schema['field']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('field',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __spw_inp(self):
if self.__spw_dflt( self.__globals_( ) ) is not None:
description = 'Spectral windows to use in selecting data to evaluate for flagging, \'\' for all'
value = self.__spw( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'spw': value},{'spw': self.__schema['spw']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('spw',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __antnegsig_inp(self):
if self.__antnegsig_dflt( self.__globals_( ) ) is not None:
description = 'Lower sigma threshold for identifying outliers as a result of bad antennas within individual timestamps'
value = self.__antnegsig( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'antnegsig': value},{'antnegsig': self.__schema['antnegsig']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('antnegsig',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __antpossig_inp(self):
if self.__antpossig_dflt( self.__globals_( ) ) is not None:
description = 'Upper sigma threshold for identifying outliers as a result of bad antennas within individual timestamps'
value = self.__antpossig( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'antpossig': value},{'antpossig': self.__schema['antpossig']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('antpossig',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __tmantint_inp(self):
if self.__tmantint_dflt( self.__globals_( ) ) is not None:
description = 'Threshold for maximum fraction of timestamps that are allowed to contain outliers'
value = self.__tmantint( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'tmantint': value},{'tmantint': self.__schema['tmantint']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('tmantint',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __tmint_inp(self):
if self.__tmint_dflt( self.__globals_( ) ) is not None:
description = 'Initial threshold for maximum fraction of "outlier timestamps" over "total timestamps" that a baseline may be a part of'
value = self.__tmint( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'tmint': value},{'tmint': self.__schema['tmint']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('tmint',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __tmbl_inp(self):
if self.__tmbl_dflt( self.__globals_( ) ) is not None:
description = 'Initial threshold for maximum fraction of "bad baselines" over "all timestamps" that an antenna may be a part of'
value = self.__tmbl( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'tmbl': value},{'tmbl': self.__schema['tmbl']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('tmbl',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __antblnegsig_inp(self):
if self.__antblnegsig_dflt( self.__globals_( ) ) is not None:
description = 'Lower sigma threshold for identifying outliers as a result of "bad baselines" and/or "bad antennas" within baselines (across all timestamps)'
value = self.__antblnegsig( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'antblnegsig': value},{'antblnegsig': self.__schema['antblnegsig']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('antblnegsig',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __antblpossig_inp(self):
if self.__antblpossig_dflt( self.__globals_( ) ) is not None:
description = 'Upper sigma threshold for identifying outliers as a result of "bad baselines" and/or "bad antennas" within baselines (across all timestamps)'
value = self.__antblpossig( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'antblpossig': value},{'antblpossig': self.__schema['antblpossig']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('antblpossig',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __relaxed_factor_inp(self):
if self.__relaxed_factor_dflt( self.__globals_( ) ) is not None:
description = 'Relaxed value to set the threshold scaling factor to under certain conditions (see task description)'
value = self.__relaxed_factor( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'relaxed_factor': value},{'relaxed_factor': self.__schema['relaxed_factor']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('relaxed_factor',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __niter_inp(self):
if self.__niter_dflt( self.__globals_( ) ) is not None:
description = 'Maximum number of times to iterate on evaluation of flagging heuristics.'
value = self.__niter( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'niter': value},{'niter': self.__schema['niter']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('niter',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __pipelinemode_inp(self):
description = 'The pipeline operations mode'
value = self.__pipelinemode( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'pipelinemode': value},{'pipelinemode': self.__schema['pipelinemode']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output('\x1B[1m\x1B[47m%-17.17s =\x1B[0m %s%-23s%s' % ('pipelinemode',pre,self.__to_string_(value),post),description,13+len(pre)+len(post))
def __dryrun_inp(self):
if self.__dryrun_dflt( self.__globals_( ) ) is not None:
description = 'Run the task (False) or just display the command (True)'
value = self.__dryrun( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'dryrun': value},{'dryrun': self.__schema['dryrun']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('dryrun',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
def __acceptresults_inp(self):
if self.__acceptresults_dflt( self.__globals_( ) ) is not None:
description = 'Automatically apply results to context'
value = self.__acceptresults( self.__globals_( ) )
(pre,post) = ('','') if self.__validate_({'acceptresults': value},{'acceptresults': self.__schema['acceptresults']}) else ('\x1B[91m','\x1B[0m')
self.__do_inp_output(' \x1B[92m%-14.14s =\x1B[0m %s%-23s%s' % ('acceptresults',pre,self.__to_string_(value),post),description,9+len(pre)+len(post))
#--------- global default implementation-------------------------------------------
@static_var('state', __sf__('casa_inp_go_state'))
def set_global_defaults(self):
self.set_global_defaults.state['last'] = self
glb = self.__globals_( )
if 'dryrun' in glb: del glb['dryrun']
if 'antblnegsig' in glb: del glb['antblnegsig']
if 'tmbl' in glb: del glb['tmbl']
if 'field' in glb: del glb['field']
if 'pipelinemode' in glb: del glb['pipelinemode']
if 'intent' in glb: del glb['intent']
if 'antpossig' in glb: del glb['antpossig']
if 'tmantint' in glb: del glb['tmantint']
if 'vis' in glb: del glb['vis']
if 'acceptresults' in glb: del glb['acceptresults']
if 'tmint' in glb: del glb['tmint']
if 'relaxed_factor' in glb: del glb['relaxed_factor']
if 'niter' in glb: del glb['niter']
if 'antnegsig' in glb: del glb['antnegsig']
if 'spw' in glb: del glb['spw']
if 'antblpossig' in glb: del glb['antblpossig']
#--------- inp function -----------------------------------------------------------
def inp(self):
print("# hif_correctedampflag -- %s" % self._info_desc_)
self.term_width, self.term_height = shutil.get_terminal_size(fallback=(80, 24))
self.__vis_inp( )
self.__intent_inp( )
self.__field_inp( )
self.__spw_inp( )
self.__antnegsig_inp( )
self.__antpossig_inp( )
self.__tmantint_inp( )
self.__tmint_inp( )
self.__tmbl_inp( )
self.__antblnegsig_inp( )
self.__antblpossig_inp( )
self.__relaxed_factor_inp( )
self.__niter_inp( )
self.__pipelinemode_inp( )
self.__dryrun_inp( )
self.__acceptresults_inp( )
#--------- tget function ----------------------------------------------------------
@static_var('state', __sf__('casa_inp_go_state'))
def tget(self,file=None):
from casashell.private.stack_manip import find_frame
from runpy import run_path
filename = None
if file is None:
if os.path.isfile("hif_correctedampflag.last"):
filename = "hif_correctedampflag.last"
elif isinstance(file, str):
if os.path.isfile(file):
filename = file
if filename is not None:
glob = find_frame( )
newglob = run_path( filename, init_globals={ } )
for i in newglob:
glob[i] = newglob[i]
self.tget.state['last'] = self
else:
print("could not find last file, setting defaults instead...")
self.set_global_defaults( )
def __call__( self, vis=None, intent=None, field=None, spw=None, antnegsig=None, antpossig=None, tmantint=None, tmint=None, tmbl=None, antblnegsig=None, antblpossig=None, relaxed_factor=None, niter=None, pipelinemode=None, dryrun=None, acceptresults=None ):
def noobj(s):
if s.startswith('<') and s.endswith('>'):
return "None"
else:
return s
_prefile = os.path.realpath('hif_correctedampflag.pre')
_postfile = os.path.realpath('hif_correctedampflag.last')
_return_result_ = None
_arguments = [vis,intent,field,spw,antnegsig,antpossig,tmantint,tmint,tmbl,antblnegsig,antblpossig,relaxed_factor,niter,pipelinemode,dryrun,acceptresults]
_invocation_parameters = OrderedDict( )
if any(map(lambda x: x is not None,_arguments)):
# invoke python style
# set the non sub-parameters that are not None
local_global = { }
if pipelinemode is not None: local_global['pipelinemode'] = pipelinemode
# the invocation parameters for the non-subparameters can now be set - this picks up those defaults
_invocation_parameters['pipelinemode'] = self.__pipelinemode( local_global )
# the sub-parameters can then be set. Use the supplied value if not None, else the function, which gets the appropriate default
_invocation_parameters['vis'] = self.__vis( _invocation_parameters ) if vis is None else vis
_invocation_parameters['intent'] = self.__intent( _invocation_parameters ) if intent is None else intent
_invocation_parameters['field'] = self.__field( _invocation_parameters ) if field is None else field
_invocation_parameters['spw'] = self.__spw( _invocation_parameters ) if spw is None else spw
_invocation_parameters['antnegsig'] = self.__antnegsig( _invocation_parameters ) if antnegsig is None else antnegsig
_invocation_parameters['antpossig'] = self.__antpossig( _invocation_parameters ) if antpossig is None else antpossig
_invocation_parameters['tmantint'] = self.__tmantint( _invocation_parameters ) if tmantint is None else tmantint
_invocation_parameters['tmint'] = self.__tmint( _invocation_parameters ) if tmint is None else tmint
_invocation_parameters['tmbl'] = self.__tmbl( _invocation_parameters ) if tmbl is None else tmbl
_invocation_parameters['antblnegsig'] = self.__antblnegsig( _invocation_parameters ) if antblnegsig is None else antblnegsig
_invocation_parameters['antblpossig'] = self.__antblpossig( _invocation_parameters ) if antblpossig is None else antblpossig
_invocation_parameters['relaxed_factor'] = self.__relaxed_factor( _invocation_parameters ) if relaxed_factor is None else relaxed_factor
_invocation_parameters['niter'] = self.__niter( _invocation_parameters ) if niter is None else niter
_invocation_parameters['dryrun'] = self.__dryrun( _invocation_parameters ) if dryrun is None else dryrun
_invocation_parameters['acceptresults'] = self.__acceptresults( _invocation_parameters ) if acceptresults is None else acceptresults
else:
# invoke with inp/go semantics
_invocation_parameters['vis'] = self.__vis( self.__globals_( ) )
_invocation_parameters['intent'] = self.__intent( self.__globals_( ) )
_invocation_parameters['field'] = self.__field( self.__globals_( ) )
_invocation_parameters['spw'] = self.__spw( self.__globals_( ) )
_invocation_parameters['antnegsig'] = self.__antnegsig( self.__globals_( ) )
_invocation_parameters['antpossig'] = self.__antpossig( self.__globals_( ) )
_invocation_parameters['tmantint'] = self.__tmantint( self.__globals_( ) )
_invocation_parameters['tmint'] = self.__tmint( self.__globals_( ) )
_invocation_parameters['tmbl'] = self.__tmbl( self.__globals_( ) )
_invocation_parameters['antblnegsig'] = self.__antblnegsig( self.__globals_( ) )
_invocation_parameters['antblpossig'] = self.__antblpossig( self.__globals_( ) )
_invocation_parameters['relaxed_factor'] = self.__relaxed_factor( self.__globals_( ) )
_invocation_parameters['niter'] = self.__niter( self.__globals_( ) )
_invocation_parameters['pipelinemode'] = self.__pipelinemode( self.__globals_( ) )
_invocation_parameters['dryrun'] = self.__dryrun( self.__globals_( ) )
_invocation_parameters['acceptresults'] = self.__acceptresults( self.__globals_( ) )
try:
with open(_prefile,'w') as _f:
for _i in _invocation_parameters:
_f.write("%-14s = %s\n" % (_i,noobj(repr(_invocation_parameters[_i]))))
_f.write("#hif_correctedampflag( ")
count = 0
for _i in _invocation_parameters:
_f.write("%s=%s" % (_i,noobj(repr(_invocation_parameters[_i]))))
count += 1
if count < len(_invocation_parameters): _f.write(",")
_f.write(" )\n")
except: pass
try:
_return_result_ = _hif_correctedampflag_t( _invocation_parameters['vis'],_invocation_parameters['intent'],_invocation_parameters['field'],_invocation_parameters['spw'],_invocation_parameters['antnegsig'],_invocation_parameters['antpossig'],_invocation_parameters['tmantint'],_invocation_parameters['tmint'],_invocation_parameters['tmbl'],_invocation_parameters['antblnegsig'],_invocation_parameters['antblpossig'],_invocation_parameters['relaxed_factor'],_invocation_parameters['niter'],_invocation_parameters['pipelinemode'],_invocation_parameters['dryrun'],_invocation_parameters['acceptresults'] )
except Exception as e:
from traceback import format_exc
from casatasks import casalog
casalog.origin('hif_correctedampflag')
casalog.post("Exception Reported: Error in hif_correctedampflag: %s" % str(e),'SEVERE')
casalog.post(format_exc( ))
_return_result_ = False
try:
os.rename(_prefile,_postfile)
except: pass
return _return_result_
hif_correctedampflag = _hif_correctedampflag( )