Public Member Functions
def	__init__
def	result
def	__call__
def	paramgui
def	defaults
def	check_params
def	description
def	itsdefault
Public Attributes
	parameters
Static Public Attributes
	rkey
	Handle globals or user over-ride of arguments.
	i_am_a_casapy_task
list	retval
	This function sets the default values but also will return the list of parameters or the default value of a given parameter.
string	valornotval
tuple	retval
Private Attributes
	__bases__
	__doc__
	__globals__
Static Private Attributes
string	__name__
dictionary	__async__

Detailed Description

Definition at line 18 of file autoclean_cli.py.

Constructor & Destructor Documentation

def autoclean_cli.autoclean_cli_.__init__ ( self )

Definition at line 26 of file autoclean_cli.py.

Member Function Documentation

def autoclean_cli.autoclean_cli_.__call__	(	self,
		vis = `None`,
		imagename = `None`,
		field = `None`,
		spw = `None`,
		selectdata = `None`,
		timerange = `None`,
		uvrange = `None`,
		antenna = `None`,
		scan = `None`,
		mode = `None`,
		nchan = `None`,
		start = `None`,
		width = `None`,
		interpolation = `None`,
		doconcat = `None`,
		psfmode = `None`,
		imagermode = `None`,
		cyclefactor = `None`,
		cyclespeedup = `None`,
		imsize = `None`,
		cell = `None`,
		phasecenter = `None`,
		restfreq = `None`,
		stokes = `None`,
		weighting = `None`,
		robust = `None`,
		noise = `None`,
		npixels = `None`,
		interactive = `None`,
		mask = `None`,
		modelimage = `None`,
		uvtaper = `None`,
		outertaper = `None`,
		innertaper = `None`,
		niter = `None`,
		npercycle = `None`,
		npercycle_speedup = `None`,
		gain = `None`,
		pbcor = `None`,
		minpb = `None`,
		clean_threshold = `None`,
		Nrms = `None`,
		eps_maxres = `None`,
		useabsresid = `None`,
		allow_maxres_inc = `None`,
		island_rms = `None`,
		diag = `None`,
		peak_rms = `None`,
		gain_threshold = `None`,
		Npeak = `None`,
		shape = `None`,
		boxstretch = `None`,
		irregsize = `None`,
		async = `None`
	)

CLEAN an image with automatically-chosen clean regions.
       This is a wrapper for clean which includes automatic clean boxing.
       Current capabilities include:
 
1)  Multi-frequency-continuum images or spectral channel imaging
2)  Stokes I imaging only
3)  Use starting mask
 
 
       vis -- Name of input visibility file
       default: none; example: vis='ngc5921.ms'
       imagename -- Pre-name of output images:
       default: none; example: imagename='m2'
       output images are:
 m2.image; cleaned and restored image
        With or without primary beam correction
 m2.psf; point-spread function (dirty beam)
 m2.flux;  relative sky sensitivity over field
 m2.mask;  total clean regions
 m2.model; image of clean components
 m2.residual; image of residuals
       field -- Select fields in mosaic.  Use field id(s) or field name(s).
  ['go listobs' to obtain the list id's or names]
      default: ''= all fields
      If field string is a non-negative integer, it is assumed to
  be a field index otherwise, it is assumed to be a 
  field name
      field='0~2'; field ids 0,1,2
      field='0,4,5~7'; field ids 0,4,5,6,7
      field='3C286,3C295'; field named 3C286 and 3C295
      field = '3,4C*'; field id 3, all names starting with 4C
       spw -- Select spectral window/channels
      NOTE: This selects the data passed as the INPUT to mode
      default: ''=all spectral windows and channels
spw='0~2,4'; spectral windows 0,1,2,4 (all channels)
spw='0:5~61'; spw 0, channels 5 to 61
spw='<2';   spectral windows less than 2 (i.e. 0,1)
spw='0,10,3:3~45'; spw 0,10 all channels, spw 3, 
                   channels 3 to 45.
 spw='0~2:2~6'; spw 0,1,2 with channels 2 through 6 in each.
 spw='0:0~10;15~60'; spectral window 0 with channels 
                    0-10,15-60
 spw='0:0~10,1:20~30,2:1;2;3'; spw 0, channels 0-10,
      spw 1, channels 20-30, and spw 2, channels, 1,2 and 3
       selectdata -- Other data selection parameters
       default: True

  >>> selectdata=True expandable parameters
       See help par.selectdata for more on these

       timerange  -- Select data based on time range:
   default: '' (all); examples,
   timerange = 'YYYY/MM/DD/hh:mm:ss~YYYY/MM/DD/hh:mm:ss'
   Note: if YYYY/MM/DD is missing date defaults to first 
         day in data set
   timerange='09:14:0~09:54:0' picks 40 min on first day
   timerange='25:00:00~27:30:00' picks 1 hr to 3 hr 
             30min on NEXT day
   timerange='09:44:00' pick data within one integration 
             of time
   timerange='>10:24:00' data after this time
       uvrange -- Select data within uvrange (default units meters)
   default: '' (all); example:
   uvrange='0~1000klambda'; uvrange from 0-1000 kilo-lambda
   uvrange='>4klambda';uvranges greater than 4 kilo lambda
       antenna -- Select data based on antenna/baseline
   default: '' (all)
   If antenna string is a non-negative integer, it is 
   assumed to be an antenna index, otherwise, it is
   considered an antenna name.
   antenna='5&6'; baseline between antenna index 5 and 
                 index 6.
   antenna='VA05&VA06'; baseline between VLA antenna 5 
                       and 6.
   antenna='5&6;7&8'; baselines 5-6 and 7-8
   antenna='5'; all baselines with antenna index 5
   antenna='05'; all baselines with antenna number 05 
                (VLA old name)
   antenna='5,6,9'; all baselines with antennas 5,6,9 
                   index numbers
      scan -- Scan number range.
  default: '' (all)
  example: scan='1~5'
  Check 'go listobs' to insure the scan numbers are in 
        order.
       mode -- Frequency Specification:
       NOTE: Channels deselected with spw parameter will contain all
     zeros. 
       See examples below.
       default: 'mfs'
 mode = 'mfs' means produce one image from all 
      specified data.
 mode = 'channel'; Use with nchan, start, width to specify
         output image cube.  See examples below
 mode = 'velocity', means channels are specified in 
      velocity.
 mode = 'frequency', means channels are specified in 
      frequency.

  >>> mode expandable parameters (for modes other than 'mfs')
       Start, width are given in units of channels, frequency 
  or velocity as indicated by mode (note: only nearest neighbour 
  interpolation is available at this time).
       nchan -- Number of channels (planes) in output image
 default: 1; example: nchan=3
       start -- Start input channel (relative-0)
 default=0; example: start=5
       width -- Output channel width in units of the input
     channel width (>1 indicates channel averaging)
 default=1; example: width=4
       interpolation -- Interpolation type of spectral data when gridded on
     the uv-plane
 default = 'linear'
       doconcat -- Tells autoclean to concatenate multiple channel images into
     single image at the end of its run.  (Autoclean makes an image
     for each channel, and cleans/boxes them one at a time.)
 default = 'True'
   examples:
       spw = '0,1'; mode = 'mfs'
  will produce one image made from all channels in spw 
       0 and 1
       spw='0:5~28^2'; mode = 'mfs'
  will produce one image made with channels 
       (5,7,9,...,25,27)
       spw = '0'; mode = 'channel': nchan=3; start=5; width=4
  will produce an image with 3 output planes
  plane 1 contains data from channels (5+6+7+8)
  plane 2 contains data from channels (9+10+11+12)
  plane 3 contains data from channels (13+14+15+16)
       spw = '0:0~63^3'; mode='channel'; nchan=21; start = 0; 
   width = 1
  will produce an image with 20 output planes
  Plane 1 contains data from channel 0
  Plane 2 contains date from channel 2
  Plane 21 contains data from channel 61
       spw = '0:0~40^2'; mode = 'channel'; nchan = 3; start = 
   5; width = 4
  will produce an image with three output planes
  plane 1 contains channels (5,7)
  plane 2 contains channels (13,15)
  plane 3 contains channels (21,23)

       psfmode -- method of PSF calculation to use during minor cycles:
       default: 'clark': Options: 'clark','clarkstokes', 'hogbom'
       'clark'  use smaller beam (faster, usually good enough);
for stokes images clean components peaks are searched in the I^2+Q^2+U^2+V^2 domain 
       'clarkstokes' locate clean components independently in each stokes image
       'hogbom' full-width of image (slower, better for poor 
       uv-coverage)
       Note:  psfmode will be used to clean is imagermode = ''
       imagermode -- Advanced imaging e.g mosaic or Cotton-Schwab clean
       default: imagermode='': Options: '', 'csclean'
       default ''  => psfmode cleaning algorithm used

  >>> imagermode='csclean' expandable parameter(s): 
    Image using the Cotton-Schwab algorithm in between major cycles
    cyclefactor -- Change the threshold at which
          the deconvolution cycle will stop, degrid
          and subtract from the visibilities.  For
          poor PSFs, reconcile often (cyclefactor=4 or
          5); For good PSFs, use cyclefactor 1.5 to
          2.0. Note: threshold = cyclefactor * max
          sidelobe * max residual.
          default: 1.5; example: cyclefactor=4
    cyclespeedup -- Cycle threshold doubles in this
          number of iterations default: -1;
          example: cyclespeedup=3
          try cyclespeedup = 50 to speed up cleaning 
     
       imsize -- Image pixel size (x,y).  DOES NOT HAVE TO BE A POWER OF 2
       default = [256,256]; example: imsize=[350,350]
       imsize = 500 is equivalent to [500,500]
       Avoid odd-numbered imsize.
       cell -- Cell size (x,y)
       default= '1.0arcsec';
       example: cell=['0.5arcsec,'0.5arcsec'] or
       cell=['1arcmin', '1arcmin']
       cell = '1arcsec' is equivalent to ['1arcsec','1arcsec']
       NOTE:cell = 2.0 => ['2arcsec', '2arcsec']
       phasecenter -- direction measure  or fieldid for the mosaic center
       default: '' => first field selected ; example: phasecenter=6
       or phasecenter='J2000 19h30m00 -40d00m00'
       restfreq -- Specify rest frequency to use for output image
       default='' Occasionally it is necessary to set this (for
       example some VLA spectral line data).  For example for
       NH_3 (1,1) put restfreq='23.694496GHz'
       stokes -- Stokes parameters to image
       default='I'; example: stokes='IQUV';
       Options: 'I','IV''QU','IQUV','RR','LL','XX','YY','RRLL','XXYY'

       weighting -- Weighting to apply to visibilities:
       default='natural'; example: weighting='uniform';
       Options: 'natural','uniform','briggs', 
       'superuniform','briggsabs','radial'

  >>> Weighting expandable parameters
       For weighting='briggs' and 'briggsabs'
   robust -- Brigg's robustness parameter
   default=0.0; example: robust=0.5;
   Options: -2.0 to 2.0; -2 (uniform)/+2 (natural)
       For weighting='briggsabs'
   noise   -- noise parameter to use for Briggs "abs" 
   weighting
   example noise='1.0mJy'
       npixels -- uv-cell area used for weight calculation
   example npixels=1
   Default = 0
   superuniform:  0 Means 3x3 cells for weighting
     the cell weight is proportional to the weight of
     the 3x3 cells centered on it.
   superuniform = F means 1x1 cell for averaging weights.
   briggs/briggsabs: 0 is similar to 1x1 cell weight.
     1 may? be similar to 3X3 cells.
   Only npixels 0 or 1 recommended
   
       mask -- Initial specification of cleanbox(es), mask image(s), and/or
   region(s) to be used for CLEANing.  For channel data (image cubes),
   any initial mask will be applied to every channel. mask default: 
   [] (no masking); Possible specification types: (a) Explicit
   cleanbox pixel ranges example: mask=[110,110,150,145] clean
   region with blc=110,100; trc=150,145 (pixel values) (b)
   Filename with cleanbox pixel values with ascii format:
   example: mask='mycleanbox.txt' <fieldid blc-x blc-y
   trc-x trc-y> on each line 
   1 45 66 123 124 
   2 23 100 300 340
   (c) Filename for image mask example: mask='myimage.mask'
   (d) Filename for region specification (e.g. from viewer)
   example: mask='myregion.rgn' (e) Combinations of any of the
   above example: mask=[[110,110,150,145],'mycleanbox.txt',
   'myimage.mask','myregion.rgn']
   If include outlier fields, then mask need to be spefied in
   nested lists: e.g. mask=[[[110,110,150,145],'myimage.mask'],[],[20,20,40,40]]
   (A clean box with [110,110,150,145] and a image mask for main field, 
    no mask for 1st outlier field, 1 clean box for second outlier field.)
       modelimage -- Name of model image(s) to initialize cleaning. If
       multiple images, then these will be added together to
       form initial starting model NOTE: these are in addition
       to any initial model in the <imagename>.model image file
       default: '' (none); example: modelimage='orion.model'
       modelimage=['orion.model','sdorion.image'] Note: if the
       units in the image are Jy/beam as in a single-dish
       image, then it will be converted to Jy/pixel as in a
       model image, using the restoring beam in the image
       header
  >>> uvtaper=True expandable parameters
       outertaper -- uv-taper on outer baselines in uv-plane
 [bmaj, bmin, bpa] taper Gaussian scale in uv or 
 angular units. NOTE: uv taper in (klambda) is roughly on-sky 
 FWHM(arcsec/200)
 default: outertaper=[]; no outer taper applied
 example: outertaper=['5klambda']  circular taper 
                FWHM=5 kilo-lambda
         outertaper=['5klambda','3klambda','45.0deg']
         outertaper=['10arcsec'] on-sky FWHM 10"
         outertaper=['300.0'] default units are meters 
                in aperture plane
       innertaper -- uv-taper in center of uv-plane
 [bmaj,bmin,bpa] Gaussian scale at which taper falls to 
 zero at uv=0
 default: innertaper=[]; no inner taper applied
 NOT YET IMPLEMENTED                
       niter -- Maximum number iterations over all clean iterations.
       default: 500;  example: niter=5000
       npercycle -- Number of clean minor cycles before making new clean region
   selection. 
   default: 100;  example: npercycle = 100
       npercycle_speedup: If no new clean regions found during an iteration of
   clean region selections, increase npercycle by this factor.
   (Npercycle returns to initial value if new clean regions are later
    found.)
   default: 1.5;  example: npercycle_speedup = 2
       gain -- Loop gain for CLEANing
       default: 0.1; example: gain=0.5
       pbcor -- Output primary beam-corrected image 
      default: pbcor=False; output un-corrected image 
      example: pbcor=True; output pb-corrected image (masked outside
       minpb) Note: if you set pbcor=False, you can later
       recover the pbcor image by dividing by the .flux image
       (e.g. using immath)
       minpb -- Minimum PB level to use default=0.1;
       The flux image is used to determine this
       except for the case of mosaic with ft='mosaic'
       where the flux.pbcoverage image is used.
       example:
       minpb=0.01 Note: this minpb is always in effect
       (regardless of pbcor=True/False) 
       clean_threshold -- Flux level at which to stop CLEANing
       default: '0.0mJy'; 
       example: threshold='2.3mJy'  (always include units)
        threshold = '0.0023Jy'
        threshold = '0.0023Jy/beam' (okay also)
       Nrms -- Stop cleaning when maximum residual is below this value times
   the current rms (outside the current clean regions).
   default: 6
   example: Nrms=4
       eps_maxres -- Convergence parameter to stop cleaning: stop if maximum
   residual has changed by less than a factor of eps_maxres.
   default: 0.01  (one per cent change)
   example: eps_maxres = 0.05
       allow_maxres_inc -- Parameter to stop cleaning: stop if maximum residual
   has increased between clean iterations this number of times.
   default: 3
   example: allow_maxres_inc = 2
       island_rms: threshold (this value times current rms) at which to box the
   residual image when searching for new clean regions
   default: 4
   example:  island_rms = 3
       diag: T/F switch to declare if pixels connected on the diagonal belong
   to the same island, when selecting pixels for clean boxing
   default: False
   example: diag = True
       peak_rms: threshold (this value times current rms) for peak pixel flux
   to qualify an island for clean boxing
   default: 6
   example: peak_rms = 5
       gain_threshold: threshold (this value times current maximum residual) of
   peak pixel in island to qualify island for clean boxing. 
   default: 0.1
   example: gain_threshold = 0.5
       Npeak: maximum number of new clean regions to add each iteration
   default: 3
   example: Npeak = 5
       shape: parameter to determine shape of clean regions. 
   0: all circles
   1: all boxes
   2: choose according to island shape (circles if island has similar
   dimension in x and y direction, box otherwise)
   default: 1  
   example: shape=2
       boxstretch: number of pixels to increase outward size of clean region,
   can range from -1 to 5. 
   default: 1
   example: boxstretch = 3
       irregsize: for islands this large (dimension in pixels) or larger, fill
   in mask with island's actual shape rather than using a box or
   circle.  Set to 0 to ignore this parameter.
   default: 100
   example: irregsize = 50

Definition at line 46 of file autoclean_cli.py.

def autoclean_cli.autoclean_cli_.check_params	(	self,
		param = `None`,
		value = `None`,
		ipython_globals = `None`
	)

Definition at line 736 of file autoclean_cli.py.

References asdmsummary_cli.asdmsummary_cli_.__globals__, accum_cli.accum_cli_.__globals__, applycal_cli.applycal_cli_.__globals__, and autoclean_cli.autoclean_cli_.__globals__.

def autoclean_cli.autoclean_cli_.defaults	(	self,
		param = `None`,
		ipython_globals = `None`,
		paramvalue = `None`,
		subparam = `None`
	)

Definition at line 633 of file autoclean_cli.py.

References asdmsummary_cli.asdmsummary_cli_.__globals__, accum_cli.accum_cli_.__globals__, applycal_cli.applycal_cli_.__globals__, autoclean_cli.autoclean_cli_.__globals__, asdmsummary_cli.asdmsummary_cli_.itsdefault(), accum_cli.accum_cli_.itsdefault(), applycal_cli.applycal_cli_.itsdefault(), and autoclean_cli.autoclean_cli_.itsdefault().

def autoclean_cli.autoclean_cli_.description	(	self,
		key = `'autoclean'`,
		subkey = `None`
	)

Definition at line 767 of file autoclean_cli.py.

def autoclean_cli.autoclean_cli_.itsdefault	(	self,
		paramname
	)

Definition at line 849 of file autoclean_cli.py.

References accum_cli.accum_cli_.parameters, autoclean_cli.autoclean_cli_.parameters, asdmsummary_cli.asdmsummary_cli_.parameters, and applycal_cli.applycal_cli_.parameters.

def autoclean_cli.autoclean_cli_.paramgui	(	self,
		useGlobals = `True`,
		ipython_globals = `None`
	)

Opens a parameter GUI for this task.  If useGlobals is true, then any relevant global parameter settings are used.

Definition at line 609 of file autoclean_cli.py.

References asdmsummary_cli.asdmsummary_cli_.__globals__, accum_cli.accum_cli_.__globals__, applycal_cli.applycal_cli_.__globals__, and autoclean_cli.autoclean_cli_.__globals__.

def autoclean_cli.autoclean_cli_.result	(	self,
		key = `None`
	)

Definition at line 33 of file autoclean_cli.py.

References accum_cli.accum_cli_.__async__, autoclean_cli.autoclean_cli_.__async__, asdmsummary_cli.asdmsummary_cli_.__async__, and applycal_cli.applycal_cli_.__async__.

Member Data Documentation

dictionary autoclean_cli.autoclean_cli_.__async__ [static, private]

Definition at line 20 of file autoclean_cli.py.

Referenced by autoclean_cli.autoclean_cli_.result(), wvrgcal_cli.wvrgcal_cli_.result(), widefield_cli.widefield_cli_.result(), widebandpbcor_cli.widebandpbcor_cli_.result(), visstat_cli.visstat_cli_.result(), vishead_cli.vishead_cli_.result(), virtualconcat_cli.virtualconcat_cli_.result(), viewer_cli.viewer_cli_.result(), uvsub_cli.uvsub_cli_.result(), uvmodelfit_cli.uvmodelfit_cli_.result(), uvcontsub_cli.uvcontsub_cli_.result(), uvcontsub3_cli.uvcontsub3_cli_.result(), uvcontsub2_cli.uvcontsub2_cli_.result(), testconcat_cli.testconcat_cli_.result(), tclean_cli.tclean_cli_.result(), statwt_cli.statwt_cli_.result(), ssoflux_cli.ssoflux_cli_.result(), split_cli.split_cli_.result(), splattotable_cli.splattotable_cli_.result(), specfit_cli.specfit_cli_.result(), smoothcal_cli.smoothcal_cli_.result(), slsearch_cli.slsearch_cli_.result(), simobserve_cli.simobserve_cli_.result(), simanalyze_cli.simanalyze_cli_.result(), simalma_cli.simalma_cli_.result(), setjy_cli.setjy_cli_.result(), sdtpimaging_cli.sdtpimaging_cli_.result(), sdstat_cli.sdstat_cli_.result(), sdsmooth_cli.sdsmooth_cli_.result(), sdscale_cli.sdscale_cli_.result(), sdsave_cli.sdsave_cli_.result(), sdreduce_cli.sdreduce_cli_.result(), sdplot_cli.sdplot_cli_.result(), sdmath_cli.sdmath_cli_.result(), sdlist_cli.sdlist_cli_.result(), sdimprocess_cli.sdimprocess_cli_.result(), sdimaging_cli.sdimaging_cli_.result(), sdgrid_cli.sdgrid_cli_.result(), sdflagmanager_cli.sdflagmanager_cli_.result(), sdflag_cli.sdflag_cli_.result(), sdfit_cli.sdfit_cli_.result(), sdcoadd_cli.sdcoadd_cli_.result(), sdcal_cli.sdcal_cli_.result(), sdbaseline_cli.sdbaseline_cli_.result(), rmtables_cli.rmtables_cli_.result(), predictcomp_cli.predictcomp_cli_.result(), polcal_cli.polcal_cli_.result(), plotxy_cli.plotxy_cli_.result(), plotweather_cli.plotweather_cli_.result(), plotuv_cli.plotuv_cli_.result(), plotms_cli.plotms_cli_.result(), plotcal_cli.plotcal_cli_.result(), plotants_cli.plotants_cli_.result(), peel_cli.peel_cli_.result(), pclean_cli.pclean_cli_.result(), partition_cli.partition_cli_.result(), msview_cli.msview_cli_.result(), msmoments_cli.msmoments_cli_.result(), mosaic_cli.mosaic_cli_.result(), makemask_cli.makemask_cli_.result(), listvis_cli.listvis_cli_.result(), listsdm_cli.listsdm_cli_.result(), listpartition_cli.listpartition_cli_.result(), listobs_cli.listobs_cli_.result(), listhistory_cli.listhistory_cli_.result(), listfits_cli.listfits_cli_.result(), listcal_cli.listcal_cli_.result(), imview_cli.imview_cli_.result(), imval_cli.imval_cli_.result(), imtrans_cli.imtrans_cli_.result(), imsubimage_cli.imsubimage_cli_.result(), imstat_cli.imstat_cli_.result(), imsmooth_cli.imsmooth_cli_.result(), imregrid_cli.imregrid_cli_.result(), imreframe_cli.imreframe_cli_.result(), importvla_cli.importvla_cli_.result(), importuvfits_cli.importuvfits_cli_.result(), importgmrt_cli.importgmrt_cli_.result(), importfitsidi_cli.importfitsidi_cli_.result(), importfits_cli.importfits_cli_.result(), importevla_cli.importevla_cli_.result(), importasdm_cli.importasdm_cli_.result(), impbcor_cli.impbcor_cli_.result(), immoments_cli.immoments_cli_.result(), immath_cli.immath_cli_.result(), imhead_cli.imhead_cli_.result(), imfit_cli.imfit_cli_.result(), imcontsub_cli.imcontsub_cli_.result(), imcollapse_cli.imcollapse_cli_.result(), hanningsmooth_cli.hanningsmooth_cli_.result(), gencal_cli.gencal_cli_.result(), gaincal_cli.gaincal_cli_.result(), ft_cli.ft_cli_.result(), fluxscale_cli.fluxscale_cli_.result(), flagmanager_cli.flagmanager_cli_.result(), flagdata_cli.flagdata_cli_.result(), flagcmd_cli.flagcmd_cli_.result(), fixvis_cli.fixvis_cli_.result(), fixplanets_cli.fixplanets_cli_.result(), find_cli.find_cli_.result(), feather_cli.feather_cli_.result(), exportuvfits_cli.exportuvfits_cli_.result(), exportfits_cli.exportfits_cli_.result(), exportasdm_cli.exportasdm_cli_.result(), delmod_cli.delmod_cli_.result(), deconvolve_cli.deconvolve_cli_.result(), cvel_cli.cvel_cli_.result(), csvclean_cli.csvclean_cli_.result(), conjugatevis_cli.conjugatevis_cli_.result(), concat_cli.concat_cli_.result(), clearstat_cli.clearstat_cli_.result(), clearplot_cli.clearplot_cli_.result(), clearcal_cli.clearcal_cli_.result(), clean_cli.clean_cli_.result(), caltabconvert_cli.caltabconvert_cli_.result(), calstat_cli.calstat_cli_.result(), browsetable_cli.browsetable_cli_.result(), boxit_cli.boxit_cli_.result(), blcal_cli.blcal_cli_.result(), and bandpass_cli.bandpass_cli_.result().

autoclean_cli.autoclean_cli_.__bases__ [private]

Definition at line 27 of file autoclean_cli.py.

autoclean_cli.autoclean_cli_.__doc__ [private]

Definition at line 28 of file autoclean_cli.py.

autoclean_cli.autoclean_cli_.__globals__ [private]

Definition at line 390 of file autoclean_cli.py.

string autoclean_cli.autoclean_cli_.__name__ [static, private]

Definition at line 19 of file autoclean_cli.py.

autoclean_cli.autoclean_cli_.i_am_a_casapy_task [static]

Definition at line 22 of file autoclean_cli.py.

autoclean_cli.autoclean_cli_.parameters

Definition at line 30 of file autoclean_cli.py.

tuple autoclean_cli.autoclean_cli_.retval [static]

This function sets the default values but also will return the list of parameters or the default value of a given parameter.

Definition at line 715 of file autoclean_cli.py.

tuple autoclean_cli.autoclean_cli_.retval [static]

Definition at line 728 of file autoclean_cli.py.

autoclean_cli.autoclean_cli_.rkey [static]

Handle globals or user over-ride of arguments.

Definition at line 21 of file autoclean_cli.py.

string autoclean_cli.autoclean_cli_.valornotval [static]

Definition at line 718 of file autoclean_cli.py.

The documentation for this class was generated from the following file:

autoclean_cli.py

Public Member Functions

Public Attributes

Static Public Attributes

Private Attributes

Static Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation