pipeline.hsd.tasks.baseline package

Submodules

pipeline.hsd.tasks.baseline.baseline module

class pipeline.hsd.tasks.baseline.baseline.DeviationMaskHeuristicsTask(heuristics_cls, vis, field_list, antenna_list, spw_list, consider_flag=False)[source]

Bases: pipeline.hsd.tasks.baseline.baseline.HeuristicsTask

execute(dry_run=False)[source]
class pipeline.hsd.tasks.baseline.baseline.HeuristicsTask(heuristics_cls, *args, **kwargs)[source]

Bases: object

execute(dry_run=False)[source]
get_executable()[source]
class pipeline.hsd.tasks.baseline.baseline.SDBaseline(inputs)[source]

Bases: pipeline.infrastructure.basetask.StandardTaskTemplate

Inputs

alias of SDBaselineInputs

analyse(result)[source]

Determine the best parameters by analysing the given jobs before returning any final jobs to execute.

Parameters

jobs (a list ofJobRequest) – the job requests generated by prepare()

Return type

Result

static evaluate_deviation_mask(vis, field_id, antenna_id, spw_id, consider_flag=False)[source]

Create deviation mask using MaskDeviation heuristic

is_multi_vis_task = True
prepare()[source]

Prepare job requests for execution.

Parameters

parameters – the parameters to pass through to the subclass. Refer to the implementing subclass for specific information on what these parameters are.

Return type

a class implementing Result

class pipeline.hsd.tasks.baseline.baseline.SDBaselineInputs(context, infiles=None, antenna=None, spw=None, pol=None, field=None, linewindow=None, linewindowmode=None, edge=None, broadline=None, fitorder=None, fitfunc=None, switchpoly=None, clusteringalgorithm=None, deviationmask=None, parallel=None)[source]

Bases: pipeline.infrastructure.vdp.StandardInputs

Inputs for baseline subtraction

broadline

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

clusteringalgorithm

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

deviationmask

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

edge

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

field

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

fitfunc

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

fitorder

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

infiles

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

linewindow

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

linewindowmode

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

property parallel
pol

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

spw

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

switchpoly

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

to_casa_args()[source]

Express these inputs as a dictionary of CASA arguments. The values in the dictionary are in a format suitable for CASA and can be directly passed to the CASA task.

Return type

a dictionary of string/??? kw/val pairs

vis

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

class pipeline.hsd.tasks.baseline.baseline.SDBaselineResults(task=None, success=None, outcome=None)[source]

Bases: pipeline.hsd.tasks.common.common.SingleDishResults

merge_with_context(context)[source]

Merge these results with the given context.

See the documenetation of super class for more details.

pipeline.hsd.tasks.baseline.baseline.deviation_mask_heuristic(vis, field_list, antenna_list, spw_list, consider_flag=False, parallel=None)[source]
pipeline.hsd.tasks.baseline.baseline.test_deviation_mask_heuristic(spw=None)[source]

pipeline.hsd.tasks.baseline.detection module

class pipeline.hsd.tasks.baseline.detection.DetectLine(inputs)[source]

Bases: pipeline.infrastructure.basetask.StandardTaskTemplate

Inputs

alias of DetectLineInputs

LineFinder

alias of pipeline.h.heuristics.linefinder.HeuristicsLineFinder

MaskBinning(data, Bin, offset=0)[source]
SpBinning(data, Bin, offset=0)[source]
ThresholdFactor = 3.0
analyse(result)[source]

Determine the best parameters by analysing the given jobs before returning any final jobs to execute.

Parameters

jobs (a list ofJobRequest) – the job requests generated by prepare()

Return type

Result

plot_detectrange(sp, protected, fname)[source]
prepare(datatable_dict=None, grid_table=None, spectral_data=None)[source]

The process finds emission lines and determines protection regions for baselinefit

class pipeline.hsd.tasks.baseline.detection.DetectLineInputs(context, group_id=None, window=None, windowmode=None, edge=None, broadline=None)[source]

Bases: pipeline.infrastructure.vdp.StandardInputs

broadline

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

edge

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

window

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

property windowmode
class pipeline.hsd.tasks.baseline.detection.DetectLineResults(task=None, success=None, outcome=None)[source]

Bases: pipeline.hsd.tasks.common.common.SingleDishResults

merge_with_context(context)[source]

Merge these results with the given context.

See the documenetation of super class for more details.

property signals
class pipeline.hsd.tasks.baseline.detection.LineWindowParser(ms, window)[source]

Bases: object

LineWindowParser is a parser for line window parameter. Supported format is as follows:

[Single window list] – apply to all spectral windows
  • integer list [chmin, chmax]

  • float list [fmin, fmax]

  • string list [‘XGHz’, ‘YGHz’]

[Multiple window list] – apply to all spectral windows
  • nested integer list [[chmin, chmax], [chmin, chmax], …]

  • nested float list [[fmin, fmax], [fmin, fmax], …]

  • nested string list [[‘XGHz’, ‘YGHz’], [‘aMHz’, ‘bMHz’], …]

[Dictionary] – apply to selected spectral windows
  • {<spwid>: <window list>} style dictionary

  • spwid should be an integer specifying spectral window id

  • window list should be in one of the above list-type window formats

[MS channel selection syntax] – apply to selected spectral windows
  • channel selection string ‘A:chmin~chmax;chmin~chmax,B:fmin~fmax,…’

Note that frequencies are interpreted as the value in LSRK frame. Note also that frequencies given as a floating point number is interpreted as the value in Hz.

get_result(spw_id)[source]
parse(field_id)[source]
pipeline.hsd.tasks.baseline.detection.test_parser(ms)[source]

pipeline.hsd.tasks.baseline.display module

class pipeline.hsd.tasks.baseline.display.ClusterDisplay(inputs)[source]

Bases: object

Inputs

alias of pipeline.hsd.tasks.common.display.SingleDishDisplayInputs

property context
plot(**kwargs)
class pipeline.hsd.tasks.baseline.display.ClusterDisplayWorker(group_id, iteration, cluster, spw, field, stage_dir)[source]

Bases: object

MATPLOTLIB_FIGURE_ID = 8907
plot()[source]
class pipeline.hsd.tasks.baseline.display.ClusterPropertyDisplay(group_id, iteration, cluster, spw, field, stage_dir)[source]

Bases: pipeline.hsd.tasks.baseline.display.ClusterDisplayWorker

class pipeline.hsd.tasks.baseline.display.ClusterScoreDisplay(group_id, iteration, cluster, spw, field, stage_dir)[source]

Bases: pipeline.hsd.tasks.baseline.display.ClusterDisplayWorker

class pipeline.hsd.tasks.baseline.display.ClusterValidationAxesManager(clusters_to_plot, nh, nv, aspect_ratio, xformatter, yformatter, xlocator, ylocator, xrotation, yrotation, ticksize, labelsize, titlesize)[source]

Bases: pipeline.infrastructure.displays.pointing.MapAxesManagerBase

property axes_legend
property axes_list
class pipeline.hsd.tasks.baseline.display.ClusterValidationDisplay(context, group_id, iteration, cluster, flag_digits, vis, spw, field, antenna, lines, stage_dir, org_direction)[source]

Bases: pipeline.hsd.tasks.baseline.display.ClusterDisplayWorker

Description1 = {'detection': 'Clustering Analysis at Detection stage', 'final': 'Clustering Analysis at Final stage', 'smoothing': 'Clustering Analysis at Smoothing stage', 'validation': 'Clustering Analysis at Validation stage'}
Description2 = {'detection': 'Yellow Square: Single spectrum is detected in the grid\nCyan Square: More than one spectra are detected in the grid\n', 'final': 'Green Square: Final Grid where the line protection channels are calculated and applied to the baseline subtraction\nBlue Square: Final Grid where the calculated line protection channels are applied to the baseline subtraction\n\nIsolated Grids are eliminated.\n', 'smoothing': 'Blue Square: Passed continuity check\nCyan Square: Border\nYellow Square: Questionable\n', 'validation': 'Validation by the rate (Number of clustering member [Nmember] v.s. Number of total spectra belong to the Grid [Nspectra])\n Blue Square: Validated: Nmember > ${valid} x Nspectra\nCyan Square: Marginally validated: Nmember > ${marginal} x Nspectra\nYellow Square: Questionable: Nmember > ${questionable} x Nspectrum\n'}

pipeline.hsd.tasks.baseline.maskline module

class pipeline.hsd.tasks.baseline.maskline.MaskLine(inputs)[source]

Bases: pipeline.infrastructure.basetask.StandardTaskTemplate

Inputs

alias of MaskLineInputs

analyse(result)[source]

Determine the best parameters by analysing the given jobs before returning any final jobs to execute.

Parameters

jobs (a list ofJobRequest) – the job requests generated by prepare()

Return type

Result

prepare()[source]

Prepare job requests for execution.

Parameters

parameters – the parameters to pass through to the subclass. Refer to the implementing subclass for specific information on what these parameters are.

Return type

a class implementing Result

class pipeline.hsd.tasks.baseline.maskline.MaskLineInputs(context, iteration, group_id, member_list, window=None, windowmode=None, edge=None, broadline=None, clusteringalgorithm=None)[source]

Bases: pipeline.infrastructure.vdp.StandardInputs

broadline

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

clusteringalgorithm

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

edge

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

property group_desc
property reference_member
window

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

windowmode

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

class pipeline.hsd.tasks.baseline.maskline.MaskLineResults(task=None, success=None, outcome=None)[source]

Bases: pipeline.hsd.tasks.common.common.SingleDishResults

merge_with_context(context)[source]

Merge these results with the given context.

See the documenetation of super class for more details.

pipeline.hsd.tasks.baseline.plotter module

class pipeline.hsd.tasks.baseline.plotter.BaselineSubtractionPlotManager(context, datatable)[source]

Bases: object

finalize()[source]
static generate_plot_meta_table(spw_id, polarization_ids, grid_table)[source]
static generate_plot_rowlist(ms_id, antenna_id, spw_id, polarization_ids, grid_table, plot_table, each_plane)[source]
initialize(ms, blvis)[source]
plot_profile_map_with_fit(prefit_figfile_prefix, postfit_figfile_prefix, grid_table, deviation_mask, line_range, org_direction, atm_transmission, atm_frequency)[source]

plot_table format: [[0, 0, RA0, DEC0, [IDX00, IDX01, …]],

[0, 1, RA0, DEC1, [IDX10, IDX11, …]], …]

plot_spectra_with_fit(**kwargs)
resize_storage(num_ra, num_dec, num_pol, num_chan)[source]
class pipeline.hsd.tasks.baseline.plotter.PlotDataStorage[source]

Bases: object

resize_storage(num_ra, num_dec, num_pol, num_chan)[source]
class pipeline.hsd.tasks.baseline.plotter.PlotterPool[source]

Bases: object

create_plotter(num_ra, num_dec, num_plane, ralist, declist, direction_reference=None, brightnessunit='Jy/beam')[source]
done()[source]
pipeline.hsd.tasks.baseline.plotter.analyze_plot_table(ms, ms_id, antid, virtual_spwid, polids, grid_table, org_direction)[source]
pipeline.hsd.tasks.baseline.plotter.configure_1d_panel(nx, ny, num_plane=1)[source]
pipeline.hsd.tasks.baseline.plotter.configure_2d_panel(xpanel, ypanel, ngridx, ngridy, num_plane=3)[source]
pipeline.hsd.tasks.baseline.plotter.generate_grid_panel_map(ngrid, npanel, num_plane=1)[source]
pipeline.hsd.tasks.baseline.plotter.get_averaged_data(infile, dtrows, num_ra, num_dec, num_chan, num_pol, rowlist, rowmap=None, map_data_storage=None, map_mask_storage=None)[source]
pipeline.hsd.tasks.baseline.plotter.get_data(infile, dtrows, num_ra, num_dec, num_chan, num_pol, rowlist, rowmap=None, integrated_data_storage=None, integrated_mask_storage=None, map_data_storage=None, map_mask_storage=None)[source]
pipeline.hsd.tasks.baseline.plotter.get_lines(datatable, num_ra, num_pol, rowlist)[source]
pipeline.hsd.tasks.baseline.plotter.get_lines2(infile, datatable, num_ra, rowlist, polids, rowmap=None)[source]
pipeline.hsd.tasks.baseline.plotter.median_index(arr)[source]

pipeline.hsd.tasks.baseline.qa module

class pipeline.hsd.tasks.baseline.qa.SDBaselineListQAHandler[source]

Bases: pipeline.infrastructure.pipelineqa.QAPlugin

child_cls

alias of pipeline.hsd.tasks.baseline.baseline.SDBaselineResults

handle(context, result)[source]
result_cls

alias of pipeline.infrastructure.basetask.ResultsList

class pipeline.hsd.tasks.baseline.qa.SDBaselineQAHandler[source]

Bases: pipeline.infrastructure.pipelineqa.QAPlugin

child_cls = None
handle(context, result)[source]
result_cls

alias of pipeline.hsd.tasks.baseline.baseline.SDBaselineResults

pipeline.hsd.tasks.baseline.renderer module

class pipeline.hsd.tasks.baseline.renderer.SingleDishClusterPlotsRenderer(context, result, xytitle, plots)[source]

Bases: pipeline.infrastructure.renderer.basetemplates.JsonPlotRenderer

update_json_dict(d, plot)[source]

Hook function that can be used by extending classes to extract extra parameters from the plot object and insert them into the JSON dictionary for that plot.

class pipeline.hsd.tasks.baseline.renderer.T2_4MDetailsSingleDishBaselineRenderer(template='hsd_baseline.mako', description='Generate Baseline tables and subtract spectral baseline', always_rerender=False)[source]

Bases: pipeline.infrastructure.renderer.basetemplates.T2_4MDetailsDefaultRenderer

static get_field_key(plot_dict, field_domain)[source]
update_mako_context(ctx, context, results)[source]

pipeline.hsd.tasks.baseline.rules module

pipeline.hsd.tasks.baseline.simplegrid module

class pipeline.hsd.tasks.baseline.simplegrid.SDSimpleGridding(inputs)[source]

Bases: pipeline.infrastructure.basetask.StandardTaskTemplate

Inputs

alias of SDSimpleGriddingInputs

analyse(result)[source]

Determine the best parameters by analysing the given jobs before returning any final jobs to execute.

Parameters

jobs (a list ofJobRequest) – the job requests generated by prepare()

Return type

Result

grid(grid_table, datatable_dict)[source]

The process does re-map and combine spectrum for each position grid_table format:

[[IF,POL,0,0,RAcent,DECcent,[[row0,r0,RMS0,index0,ant0],[row1,r1,RMS1,index1,ant1],..,[rowN,rN,RMSN,indexN,antn]]]
[IF,POL,0,1,RAcent,DECcent,[[row0,r0,RMS0,index0,ant0],[row1,r1,RMS1,index1,ant1],..,[rowN,rN,RMSN,indexN,antn]]]

[IF,POL,M,N,RAcent,DECcent,[[row0,r0,RMS0,index0,ant0],[row1,r1,RMS1,index1,ant1],..,[rowN,rN,RMSN,indexN,antn]]]]

where row0,row1,…,rowN should be combined to one for better S/N spectra

‘r’ is a distance from grid position

Number of spectra output is len(grid_table)

OutputTable format:
[[IF, POL, X, Y, RA, DEC, # of Combined Sp., # of flagged Sp., RMS]
[IF, POL, X, Y, RA, DEC, # of Combined Sp., # of flagged Sp., RMS]

[IF, POL, X, Y, RA, DEC, # of Combined Sp., # of flagged Sp., RMS]]

Note that IF above is the virtual spw id that should be translated into real spw id when applying to measurementset domain object.

make_grid_table(datatable_dict, index_list)[source]

Calculate Parameters for grid by RA/DEC positions

prepare(datatable_dict=None, index_list=None)[source]

Prepare job requests for execution.

Parameters

parameters – the parameters to pass through to the subclass. Refer to the implementing subclass for specific information on what these parameters are.

Return type

a class implementing Result

class pipeline.hsd.tasks.baseline.simplegrid.SDSimpleGriddingInputs(context, group_id, member_list, window, windowmode, nplane=None)[source]

Bases: pipeline.infrastructure.vdp.StandardInputs

property group_desc
nplane

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

property reference_member
property windowmode
class pipeline.hsd.tasks.baseline.simplegrid.SDSimpleGriddingResults(task=None, success=None, outcome=None)[source]

Bases: pipeline.hsd.tasks.common.common.SingleDishResults

merge_with_context(context)[source]

Merge these results with the given context.

See the documenetation of super class for more details.

pipeline.hsd.tasks.baseline.validation module

class pipeline.hsd.tasks.baseline.validation.SVDSolver2D(xorder, yorder)[source]

Bases: object

CONDITION_NUMBER_LIMIT = 1e-12
find_good_solution(z, threshold=0.05)[source]
set_data_points(x, y)[source]
solve_for(z, out=None, eps=1e-07)[source]
solve_with_eps(z, out=None, eps=1e-07)[source]
solve_with_mask(z, out=None, nmask=0)[source]
class pipeline.hsd.tasks.baseline.validation.ValidateLineInputs(context, group_id, member_list, iteration, grid_ra, grid_dec, window=None, windowmode=None, edge=None, nsigma=None, xorder=None, yorder=None, broad_component=None, clusteringalgorithm=None)[source]

Bases: pipeline.infrastructure.vdp.StandardInputs

broad_component

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

clusteringalgorithm

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

edge

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

property group_desc
nsigma

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

property reference_member
window

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

property windowmode
xorder

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

yorder

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

class pipeline.hsd.tasks.baseline.validation.ValidateLineRaster(inputs)[source]

Bases: pipeline.infrastructure.basetask.StandardTaskTemplate

CLUSTER_WHITEN = 1.0
CheckLineIdentity(old, new, overlap=0.7)[source]

True if the overlap of two lines is greater than the threshold 1L 1R 1L 1R 1L 1R 1L 1R

[ ] [ ] [ ] [ ] xxxxxxxxxxxx xxxxxxxxxxxx xxxxxxxxxxx xxxxxxxxxxx

oooooooooooooo oooooooooooo ooooooooooo ooooooooo [ ] [ ] [ ] [ ] 2L 2R 2L 2R 2L 2R 2L 2R

True if Num(x) / Num(o) >= overlap

old: [left, right, binning] new: [left, right, binning]

CleanIsolation(nra, ndec, Original, Plane, GridMember)[source]

Clean isolated cluster return: if no cluster is left after the cleaning, n == 0

MemberList contains positions of cluster member with Marginal+Valid detection MemberList[n]: [[(x00,y00),(x01,y01),……..,(x0k-1,y0k-1)],

[(x10,y10),(x11,y11),..,(x1i-1,y1i-1)],

[(xn-10,yn-10),(xn-11,yn-11),..,(xn-1i-1,yn-1j-1)]]

Realmember contains positions of cluster member with only Valid detection Realmember[n]: [[(x00,y00),(x01,y01),..,(x0a-1,y0a-1)],

[(x10,y10),(x11,y11),..,(x1b-1,y1b-1)],

[(xn-10,yn-10),(xn-11,yn-11),..,(xn-1c-1,yn-1c-1)]]

DebugOutName = '61226'
DebugOutVer = [0, 0]
DoBlur(Realmember, nra, ndec, SubPlane, ratio)[source]
Inputs

alias of ValidateLineInputs

Marginal = 0.35
property MaxFWHM
MinFWHM = 5
Questionable = 0.2
Valid = 0.5
analyse(result)[source]

Determine the best parameters by analysing the given jobs before returning any final jobs to execute.

Parameters

jobs (a list ofJobRequest) – the job requests generated by prepare()

Return type

Result

calc_ProtectMask(Center, Width, nchan, MinFWHM, MaxFWHM)[source]

return ProtectMask: [MaskL, MaskR]

clean_cluster(Data, Category, Region, Nthreshold, NumParam)[source]
Clean-up cluster by eliminating outliers

Radius = StandardDeviation * nThreshold (circle/sphere)

in:

Data Category Nthreshold Ncluster

out:

Region: flag information is added Range: Range[Ncluster][5]: [ClusterCenterX, ClusterCenterY, 0, 0, Threshold] Stdev: Stdev[Ncluster][5]: [ClusterStddevX, ClusterStddevY, 0, 0, 0] Category: renumbered category

clean_detect_line(data, threshold=0.6)[source]

Select only line candidates with good possibility by checking all spectra taken at the same position data: {ID1: [[LineStart, LineEnd, Binning],,,],

ID2: [[LineStart, LineEnd, Binning],,,], IDn: [[LineStart, LineEnd, Binning],,,]}

clean_detect_signal(DS)[source]

Spectra in each grid positions are splitted into 3 groups along time series. Group of spectra is then combined to 1 spectrum. So, one grid position has 3 combined spectra. Suppose that the real signal is correlated but the error is not, we can clean false signals (not correlated) in advance of the validation stage. detect_signal = {ID1: [RA, DEC, [[LineStartChannel1, LineEndChannel1, Binning],

[LineStartChannel2, LineEndChannel2, Binning], [LineStartChannelN, LineEndChannelN, Binning]]],

IDn: [RA, DEC, [[LineStartChannel1, LineEndChannel1, Binning],

[LineStartChannelN, LineEndChannelN, Binning]]]}

clustering_hierarchy(Region, Region2, nThreshold=3.0, nThreshold2=4.5, method='single')[source]

Hierarchical Clustering method = ‘ward’ : Ward’s linkage method

‘single’ : nearest point linkage method ‘complete’: farthest point linkage method ‘average’ : average linkage method ‘centroid’: centroid/UPGMC linkage method ‘median’ : median/WPGMC linkage method

1st threshold is set to nThreshold x stddev(distance matrix) 2nd threshold is set to nThreshold2 x stddev of sub-cluster distance matrix in:

self.Data -> Region2 self.Ndata

out:

self.Threshold self.Nthreshold self.Category self.Ncluster

clustering_kmean(Region, Region2)[source]
clustering_kmean_score(MeanDistance, MedianWidth, Ncluster, MemberRate)[source]
detection_stage(Ncluster, nra, ndec, ra0, dec0, grid_ra, grid_dec, category, Region, detect_signal)[source]

Region = [[row, chan0, chan1, RA, DEC, flag, Binning],[],[],,,[]] detect_signal = {ID1: [RA, DEC, [[LineStartChannel1, LineEndChannel1, Binning],

[LineStartChannel2, LineEndChannel2, Binning], [LineStartChannelN, LineEndChannelN, Binning]]],

IDn: [RA, DEC, [[LineStartChannel1, LineEndChannel1, Binning],

[LineStartChannelN, LineEndChannelN, Binning]]]}

final_stage(GridCluster, GridMember, Region, Region2, lines, category, grid_ra, grid_dec, broad_component, xorder, yorder, x0, y0, Grid2SpectrumID, index_list, PosList, cluster_flag)[source]
prepare(datatable_dict=None, index_list=None, grid_table=None, detect_signal=None)[source]

2D fit line characteristics calculated in Process3 Sigma clipping iterations will be applied if nsigma is positive order < 0 : automatic determination of fitting order (max = 5)

detect_signal = {ID1: [RA, DEC, [[LineStartChannel1, LineEndChannel1, Binning],

[LineStartChannel2, LineEndChannel2, Binning], [LineStartChannelN, LineEndChannelN, Binning]]],

IDn: [RA, DEC, [[LineStartChannel1, LineEndChannel1, Binning],

[LineStartChannelN, LineEndChannelN, Binning]]]}

lines: output parameter

[LineCenter, LineWidth, Validity] OK: Validity = True; NG: Validity = False

set_data(Observation, ordering='none')[source]
Observation: numpy.array([[val1, val2, val3,..,valN],
[val1, val2, val3,..,valN],

[val1, val2, val3,..,valN]], numpy.float)

where N is a max dimensions of parameter space
ordering: ‘none’ or list of ordering of columns

e.g., ordering=[2,3,1,0] => [col3,col2,col0,col1]

self.Data: Observation data self.NumParam: Number of dimensions to be used for Clustering Analysis self.Factor: Set default Whitening factor (to be 1.0)

smoothing_stage(GridCluster, lines, cluster_flag)[source]
validate_cluster(clustering_algorithm, clustering_result, index_list, detect_signal, PosList, Region2)[source]
validation_stage(GridCluster, GridMember, lines, cluster_flag)[source]
class pipeline.hsd.tasks.baseline.validation.ValidateLineResults(task=None, success=None, outcome=None)[source]

Bases: pipeline.hsd.tasks.common.common.SingleDishResults

merge_with_context(context)[source]

Merge these results with the given context.

See the documenetation of super class for more details.

class pipeline.hsd.tasks.baseline.validation.ValidateLineSinglePointing(inputs)[source]

Bases: pipeline.infrastructure.basetask.StandardTaskTemplate

Inputs

alias of ValidateLineInputs

analyse(result)[source]

Determine the best parameters by analysing the given jobs before returning any final jobs to execute.

Parameters

jobs (a list ofJobRequest) – the job requests generated by prepare()

Return type

Result

prepare(datatable_dict=None, index_list=None, grid_table=None, detect_signal=None)[source]

ValidateLine class for single-pointing or multi-pointing (collection of fields with single-pointing). Accept all detected lines without clustering analysis.

detect_signal = {ID1: [RA, DEC, [[LineStartChannel1, LineEndChannel1],

[LineStartChannel2, LineEndChannel2], [LineStartChannelN, LineEndChannelN]]],

IDn: [RA, DEC, [[LineStartChannel1, LineEndChannel1],

[LineStartChannelN, LineEndChannelN]]]}

lines: output parameter

[LineCenter, LineWidth, Validity] OK: Validity = True; NG: Validity = False

pipeline.hsd.tasks.baseline.validation.ValidationFactory(pattern)[source]
pipeline.hsd.tasks.baseline.validation.convolve2d(data, kernel, mode='nearest', cval=0.0)[source]

2d convolution function.

mode = ‘nearest’ use nearest pixel value for pixels beyond the edge

‘constant’ use cval for pixels beyond the edge

pipeline.hsd.tasks.baseline.worker module

class pipeline.hsd.tasks.baseline.worker.BaselineSubtractionInputsBase[source]

Bases: pipeline.infrastructure.vdp.StandardInputs

DATACOLUMN = {'CORRECTED_DATA': 'corrected', 'DATA': 'data', 'FLOAT_DATA': 'float_data'}
colname

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

to_casa_args()[source]

Express these inputs as a dictionary of CASA arguments. The values in the dictionary are in a format suitable for CASA and can be directly passed to the CASA task.

Return type

a dictionary of string/??? kw/val pairs

class pipeline.hsd.tasks.baseline.worker.BaselineSubtractionResults(task=None, success=None, outcome=None)[source]

Bases: pipeline.hsd.tasks.common.common.SingleDishResults

merge_with_context(context)[source]

Merge these results with the given context.

See the documenetation of super class for more details.

class pipeline.hsd.tasks.baseline.worker.BaselineSubtractionWorker(inputs)[source]

Bases: pipeline.infrastructure.basetask.StandardTaskTemplate

abstract property Heuristics

A reference to the Heuristics class.

Inputs

alias of BaselineSubtractionWorkerInputs

analyse(results)[source]

Determine the best parameters by analysing the given jobs before returning any final jobs to execute.

Parameters

jobs (a list ofJobRequest) – the job requests generated by prepare()

Return type

Result

is_multi_vis_task = False
prepare()[source]

Prepare job requests for execution.

Parameters

parameters – the parameters to pass through to the subclass. Refer to the implementing subclass for specific information on what these parameters are.

Return type

a class implementing Result

class pipeline.hsd.tasks.baseline.worker.BaselineSubtractionWorkerInputs(context, vis=None, plan=None, fit_order=None, switchpoly=None, edge=None, deviationmask=None, blparam=None, bloutput=None, org_directions_dict=None)[source]

Bases: pipeline.hsd.tasks.baseline.worker.BaselineSubtractionInputsBase

antenna

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

bloutput

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

blparam

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

channelmap_range

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

deviationmask

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

edge

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

field

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

fit_order

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

grid_table

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

org_directions_dict

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

plan

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

prefix

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

spw

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

switchpoly

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

vis

VisDependentProperty is a Python data descriptor that standardises the behaviour of pipeline Inputs properties and lets them create default values more easily.

On reading a VisDependentProperty (ie. using the dot prefix: inputs.solint), one of two things happens:

  1. If a NullMarker is found - signifying that no user input has been provided - and a ‘getter’ function has been defined, the getter function will be called to provide a default value for that measurement set.

  2. If a user has overridden the value (eg. inputs.solint = 123), that value will be retrieved.

  3. The value, either the default from step 1 or user-provided from step 2, is run through the optional postprocess function, which gives a final opportunity to change the value depending on the state/value of other properties.

A VisDependentProperty can be made read-only by specifying ‘readonly=True’ when creating the instance.

A VisDependentProperty can be hidden from the containing Inputs string representation by setting ‘hidden=True’ when creating the instance. This will hide the property from the web log and CLI getInputs calls.

Each VisDependentProperty has a set of values it considers equivalent to null. When the user sets the VDP value to one of these null values, the VDP machinery converts this to a private NullObject marker that signifies the property is now unset, resulting in the default value being returned next time the property is read. Developers can specify which values should be converted to NullObject by specifying null_input at creation time, e.g.,

solint = @VisDependentProperty(default=5, null_input=[None, ‘’, ‘RESET’, -1])

class pipeline.hsd.tasks.baseline.worker.CubicSplineBaselineSubtractionWorker(inputs)[source]

Bases: pipeline.hsd.tasks.baseline.worker.BaselineSubtractionWorker

Heuristics

alias of pipeline.hsd.heuristics.baselineparamconfig.CubicSplineFitParamConfig

Inputs

alias of BaselineSubtractionWorkerInputs

class pipeline.hsd.tasks.baseline.worker.HpcBaselineSubtractionWorker(inputs)[source]

Bases: pipeline.infrastructure.sessionutils.ParallelTemplate

Inputs

alias of HpcBaselineSubtractionWorkerInputs

get_result_for_exception(*args, **kw)
class pipeline.hsd.tasks.baseline.worker.HpcBaselineSubtractionWorkerInputs(context, vis=None, plan=None, fit_order=None, switchpoly=None, edge=None, deviationmask=None, blparam=None, bloutput=None, parallel=None, org_directions_dict=None)[source]

Bases: pipeline.hsd.tasks.baseline.worker.BaselineSubtractionWorkerInputs

property parallel
class pipeline.hsd.tasks.baseline.worker.HpcCubicSplineBaselineSubtractionWorker(inputs)[source]

Bases: pipeline.hsd.tasks.baseline.worker.HpcBaselineSubtractionWorker

Task

alias of CubicSplineBaselineSubtractionWorker

Module contents