##################### generated by xml-casa (v2) from hif_findcont.xml ##############
##################### b513b8617d58b673d59ece396d5eb1ce ##############################
from __future__ import absolute_import
import numpy
from casatools.typecheck import CasaValidator as _val_ctor
_pc = _val_ctor( )
from casatools.coercetype import coerce as _coerce
from .private.task_hif_findcont import hif_findcont as _hif_findcont_t
from casatasks.private.task_logging import start_log as _start_log
from casatasks.private.task_logging import end_log as _end_log
class _hif_findcont:
"""
hif_findcont ---- Find continuum frequency ranges
Find continuum frequency ranges for a list of specified targets.
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']
target_list Dictionary specifying targets to be imaged; blank will read list from context
mosweight Mosaic weighting
hm_perchanweightdensity Calculate the weight density for each channel independently
parallel Use MPI cluster where possible
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 -----------------------------------------------------------
"""
_info_group_ = """pipeline"""
_info_desc_ = """Find continuum frequency ranges"""
def __call__( self, vis=[ ], target_list=[ ], mosweight=False, hm_perchanweightdensity=False, parallel='automatic', pipelinemode='automatic', dryrun=False, acceptresults=True ):
schema = {'vis': {'type': 'cStrVec', 'coerce': [_coerce.to_list,_coerce.to_strvec]}, 'target_list': {'type': 'cVariant', 'coerce': [_coerce.to_variant]}, 'mosweight': {'type': 'cBool'}, 'hm_perchanweightdensity': {'type': 'cBool'}, 'parallel': {'type': 'cStr', 'coerce': _coerce.to_str, 'allowed': [ 'automatic', 'true', 'false' ]}, 'pipelinemode': {'type': 'cStr', 'coerce': _coerce.to_str, 'allowed': [ 'automatic', 'interactive', 'getinputs' ]}, 'dryrun': {'type': 'cBool'}, 'acceptresults': {'type': 'cBool'}}
doc = {'vis': vis, 'target_list': target_list, 'mosweight': mosweight, 'hm_perchanweightdensity': hm_perchanweightdensity, 'parallel': parallel, 'pipelinemode': pipelinemode, 'dryrun': dryrun, 'acceptresults': acceptresults}
assert _pc.validate(doc,schema), str(_pc.errors)
_logging_state_ = _start_log( 'hif_findcont', [ 'vis=' + repr(_pc.document['vis']), 'target_list=' + repr(_pc.document['target_list']), 'mosweight=' + repr(_pc.document['mosweight']), 'hm_perchanweightdensity=' + repr(_pc.document['hm_perchanweightdensity']), 'parallel=' + repr(_pc.document['parallel']), 'pipelinemode=' + repr(_pc.document['pipelinemode']), 'dryrun=' + repr(_pc.document['dryrun']), 'acceptresults=' + repr(_pc.document['acceptresults']) ] )
return _end_log( _logging_state_, 'hif_findcont', _hif_findcont_t( _pc.document['vis'], _pc.document['target_list'], _pc.document['mosweight'], _pc.document['hm_perchanweightdensity'], _pc.document['parallel'], _pc.document['pipelinemode'], _pc.document['dryrun'], _pc.document['acceptresults'] ) )
hif_findcont = _hif_findcont( )