ParallelOverscanCorrectionTaskConfig¶
- class lsst.ip.isr.ParallelOverscanCorrectionTaskConfig(*args, **kw)¶
- Bases: - OverscanCorrectionTaskConfigBase- Attributes Summary - Apply the maxDeviation to the absolute value of the deviation? If False, this will be a one-sided cut for positive-only deviations (typically for parallel overscan subtraction. - Do column-by-column median smoothing outlier rejection? Columns that are rejected in this way will be grown by parallelOverscanMaskedColumnGrowSize. - Mask saturated pixels in parallel overscan region? ( - bool, default- True)- The method for fitting the overscan bias level. - Number of leading values to skip in parallel overscan correction. - Mask planes to reject when measuring overscan ( - List, default- ['BAD', 'SAT'])- Maximum deviation from median (in ADU) to mask in overscan correction; Will be applied to the absolute deviation if doAbsoluteMaxDeviation=True. - Kernel (pixels) to use to smooth the parallel overscan columns. - Outlier threshold after parallel median smoothing (adu). - Rejection threshold (sigma) for collapsing overscan before fit ( - float, default- 3.0)- Order of polynomial to fit if overscan fit type is a polynomial, or number of spline knots if overscan fit type is a spline. - Treat overscan as an integer image for purposes of fitType=MEDIAN and fitType=MEDIAN_PER_ROW. - When the parallel overscan region median is greater than parallelOverscanFraction and the imaging region median is greater than parallelOverscanImageThreshold then parallel overscan subtraction will be turned off, as this is usually due to the region being flooded with spillover from a super-saturated flat. - When the parallel overscan region median is greater than parallelOverscanFraction and the imaging region median is greater than parallelOverscanImageThreshold then parallel overscan subtraction will be turned off, as this is usually due to the region being flooded with spillover from a super-saturated flat. - Grow the SAT mask in the parallel overscan region by this many pixels. - When a full column is masked in the parallel overscan (at less than saturation) the mask should be grown by this many pixels. - The saturation level (adu) to use if not specified in call to maskParallelOverscanAmp. - The parallel overscan saturation level may be below that of the data region. - Number of trailing values to skip in parallel overscan correction. - Methods Summary - compare(other[, shortcut, rtol, atol, output])- Compare this configuration to another - Configfor equality.- formatHistory(name, **kwargs)- Format a configuration field's history to a human-readable format. - freeze()- Make this config, and all subconfigs, read-only. - items()- Get configurations as - (field name, field value)pairs.- keys()- Get field names. - load(filename[, root])- Modify this config in place by executing the Python code in a configuration file. - loadFromStream(stream[, root, filename, ...])- Modify this Config in place by executing the Python code in the provided stream. - loadFromString(code[, root, filename, ...])- Modify this Config in place by executing the Python code in the provided string. - names()- Get all the field names in the config, recursively. - save(filename[, root])- Save a Python script to the named file, which, when loaded, reproduces this config. - saveToStream(outfile[, root, skipImports])- Save a configuration file to a stream, which, when loaded, reproduces this config. - saveToString([skipImports])- Return the Python script form of this configuration as an executable string. - Subclass hook for computing defaults. - toDict()- Make a dictionary of field names and their values. - update(**kw)- Update values of fields specified by the keyword arguments. - validate()- Validate the Config, raising an exception if invalid. - values()- Get field values. - Attributes Documentation - doAbsoluteMaxDeviation¶
- Apply the maxDeviation to the absolute value of the deviation? If False, this will be a one-sided cut for positive-only deviations (typically for parallel overscan subtraction. ( - bool, default- True)
 - doMedianSmoothingOutlierRejection¶
- Do column-by-column median smoothing outlier rejection? Columns that are rejected in this way will be grown by parallelOverscanMaskedColumnGrowSize. ( - bool, default- True)
 - doParallelOverscanSaturation¶
- Mask saturated pixels in parallel overscan region? ( - bool, default- True)
 - fitType¶
- The method for fitting the overscan bias level. ( - str, default- 'MEDIAN')- Allowed values: - 'POLY'
- Fit ordinary polynomial to the longest axis of the overscan region 
- 'CHEB'
- Fit Chebyshev polynomial to the longest axis of the overscan region 
- 'LEG'
- Fit Legendre polynomial to the longest axis of the overscan region 
- 'NATURAL_SPLINE'
- Fit natural spline to the longest axis of the overscan region 
- 'CUBIC_SPLINE'
- Fit cubic spline to the longest axis of the overscan region 
- 'AKIMA_SPLINE'
- Fit Akima spline to the longest axis of the overscan region 
- 'MEAN'
- Correct using the mean of the overscan region 
- 'MEANCLIP'
- Correct using a clipped mean of the overscan region 
- 'MEDIAN'
- Correct using the median of the overscan region 
- 'MEDIAN_PER_ROW'
- Correct using the median per row of the overscan region 
- 'MEAN_PER_ROW'
- Correct using the mean per row of the overscan region 
- 'None'
- Field is optional 
 
 - history¶
- Read-only history. 
 - maskPlanes¶
- Mask planes to reject when measuring overscan ( - List, default- ['BAD', 'SAT'])
 - maxDeviation¶
- Maximum deviation from median (in ADU) to mask in overscan correction; Will be applied to the absolute deviation if doAbsoluteMaxDeviation=True. ( - float, default- 1000.0)
 - medianSmoothingKernel¶
- Kernel (pixels) to use to smooth the parallel overscan columns. Must be odd. ( - int, default- 5)
 - medianSmoothingOutlierThreshold¶
- Outlier threshold after parallel median smoothing (adu). This is applied only to positive outliers. ( - float, default- 5.0)
 - order¶
- Order of polynomial to fit if overscan fit type is a polynomial, or number of spline knots if overscan fit type is a spline. ( - int, default- 1)
 - overscanIsInt¶
- Treat overscan as an integer image for purposes of fitType=MEDIAN and fitType=MEDIAN_PER_ROW. ( - bool, default- True)
 - parallelOverscanFraction¶
- When the parallel overscan region median is greater than parallelOverscanFraction and the imaging region median is greater than parallelOverscanImageThreshold then parallel overscan subtraction will be turned off, as this is usually due to the region being flooded with spillover from a super-saturated flat. ( - float, default- 0.5)
 - parallelOverscanImageThreshold¶
- When the parallel overscan region median is greater than parallelOverscanFraction and the imaging region median is greater than parallelOverscanImageThreshold then parallel overscan subtraction will be turned off, as this is usually due to the region being flooded with spillover from a super-saturated flat. ( - float, default- 10000.0)
 - parallelOverscanMaskGrowSize¶
- Grow the SAT mask in the parallel overscan region by this many pixels. This value was determined from the ITL chip in the LATISS camera. ( - int, default- 7)
 - parallelOverscanMaskedColumnGrowSize¶
- When a full column is masked in the parallel overscan (at less than saturation) the mask should be grown by this many pixels. This value is determined from ITL chips in LATISS and LSSTCam. ( - int, default- 2)
 - parallelOverscanSaturationLevel¶
- The saturation level (adu) to use if not specified in call to maskParallelOverscanAmp. This should be low enough to capture all possible amplifiers for defect detection. ( - float, default- 20000.0)
 - parallelOverscanSaturationLevelAdjustmentFactor¶
- The parallel overscan saturation level may be below that of the data region. This factor is applied to the amplifier saturation value when evaluating saturation in the parallel overscan region. ( - float, default- 0.75)
 - Methods Documentation - compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶
- Compare this configuration to another - Configfor equality.- Parameters:
- otherlsst.pex.config.Config
- Other - Configobject to compare against this config.
- shortcutbool, optional
- If - True, return as soon as an inequality is found. Default is- True.
- rtolfloat, optional
- Relative tolerance for floating point comparisons. 
- atolfloat, optional
- Absolute tolerance for floating point comparisons. 
- outputcallable, optional
- A callable that takes a string, used (possibly repeatedly) to report inequalities. 
 
- other
- Returns:
- isEqualbool
- Truewhen the two- lsst.pex.config.Configinstances are equal.- Falseif there is an inequality.
 
- isEqual
 - See also - Notes - Unselected targets of - RegistryFieldfields and unselected choices of- ConfigChoiceFieldfields are not considered by this method.- Floating point comparisons are performed by - numpy.allclose.
 - formatHistory(name, **kwargs)¶
- Format a configuration field’s history to a human-readable format. - Parameters:
- namestr
- Name of a - Fieldin this config.
- **kwargs
- Keyword arguments passed to - lsst.pex.config.history.format.
 
- name
- Returns:
- historystr
- A string containing the formatted history. 
 
- history
 - See also 
 - freeze()¶
- Make this config, and all subconfigs, read-only. 
 - items()¶
- Get configurations as - (field name, field value)pairs.- Returns:
- itemsItemsView
- Iterator of tuples for each configuration. Tuple items are: - Field name. 
- Field value. 
 
 
- items
 
 - keys()¶
- Get field names. - Returns:
- namesKeysView
- List of - lsst.pex.config.Fieldnames.
 
- names
 
 - load(filename, root='config')¶
- Modify this config in place by executing the Python code in a configuration file. - Parameters:
- filenamestr
- Name of the configuration file. A configuration file is Python module. 
- rootstr, optional
- Name of the variable in file that refers to the config being overridden. - For example, the value of root is - "config"and the file contains:- config.myField = 5 - Then this config’s field - myFieldis set to- 5.
 
- filename
 
 - loadFromStream(stream, root='config', filename=None, extraLocals=None)¶
- Modify this Config in place by executing the Python code in the provided stream. - Parameters:
- streamfile-like object, str,bytes, orCodeType
- Stream containing configuration override code. If this is a code object, it should be compiled with - mode="exec".
- rootstr, optional
- Name of the variable in file that refers to the config being overridden. - For example, the value of root is - "config"and the file contains:- config.myField = 5 - Then this config’s field - myFieldis set to- 5.
- filenamestr, optional
- Name of the configuration file, or - Noneif unknown or contained in the stream. Used for error reporting.
- extraLocalsdictofstrtoobject, optional
- Any extra variables to include in local scope when loading. 
 
- streamfile-like object, 
 - See also - Notes - For backwards compatibility reasons, this method accepts strings, bytes and code objects as well as file-like objects. New code should use - loadFromStringinstead for most of these types.
 - loadFromString(code, root='config', filename=None, extraLocals=None)¶
- Modify this Config in place by executing the Python code in the provided string. - Parameters:
- codestr,bytes, orCodeType
- Stream containing configuration override code. 
- rootstr, optional
- Name of the variable in file that refers to the config being overridden. - For example, the value of root is - "config"and the file contains:- config.myField = 5 - Then this config’s field - myFieldis set to- 5.
- filenamestr, optional
- Name of the configuration file, or - Noneif unknown or contained in the stream. Used for error reporting.
- extraLocalsdictofstrtoobject, optional
- Any extra variables to include in local scope when loading. 
 
- code
- Raises:
- ValueError
- Raised if a key in extraLocals is the same value as the value of the root argument. 
 
 
 - save(filename, root='config')¶
- Save a Python script to the named file, which, when loaded, reproduces this config. - Parameters:
- filenamestr
- Desination filename of this configuration. 
- rootstr, optional
- Name to use for the root config variable. The same value must be used when loading (see - lsst.pex.config.Config.load).
 
- filename
 
 - saveToStream(outfile, root='config', skipImports=False)¶
- Save a configuration file to a stream, which, when loaded, reproduces this config. - Parameters:
- outfilefile-like object
- Destination file object write the config into. Accepts strings not bytes. 
- rootstr, optional
- Name to use for the root config variable. The same value must be used when loading (see - lsst.pex.config.Config.load).
- skipImportsbool, optional
- If - Truethen do not include- importstatements in output, this is to support human-oriented output from- pipetaskwhere additional clutter is not useful.
 
 
 - saveToString(skipImports=False)¶
- Return the Python script form of this configuration as an executable string. - Parameters:
- Returns:
- codestr
- A code string readable by - loadFromString.
 
- code
 
 - setDefaults()¶
- Subclass hook for computing defaults. - Notes - Derived - Configclasses that must compute defaults rather than using the- Fieldinstances’s defaults should do so here. To correctly use inherited defaults, implementations of- setDefaultsmust call their base class’s- setDefaults.
 - toDict()¶
- Make a dictionary of field names and their values. - See also - Notes - This method uses the - toDictmethod of individual fields. Subclasses of- Fieldmay need to implement a- toDictmethod for this method to work.
 - update(**kw)¶
- Update values of fields specified by the keyword arguments. - Parameters:
- **kw
- Keywords are configuration field names. Values are configuration field values. 
 
 - Notes - The - __atand- __labelkeyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Do not modify these keywords to subvert a- Configinstance’s history.- Examples - This is a config with three fields: - >>> from lsst.pex.config import Config, Field >>> class DemoConfig(Config): ... fieldA = Field(doc="Field A", dtype=int, default=42) ... fieldB = Field(doc="Field B", dtype=bool, default=True) ... fieldC = Field(doc="Field C", dtype=str, default="Hello world") >>> config = DemoConfig() - These are the default values of each field: - >>> for name, value in config.iteritems(): ... print(f"{name}: {value}") fieldA: 42 fieldB: True fieldC: 'Hello world' - Using this method to update - fieldAand- fieldC:- >>> config.update(fieldA=13, fieldC="Updated!") - Now the values of each field are: - >>> for name, value in config.iteritems(): ... print(f"{name}: {value}") fieldA: 13 fieldB: True fieldC: 'Updated!' 
 - validate()¶
- Validate the Config, raising an exception if invalid. - Raises:
- lsst.pex.config.FieldValidationError
- Raised if verification fails. 
 
 - Notes - The base class implementation performs type checks on all fields by calling their - validatemethods.- Complex single-field validation can be defined by deriving new Field types. For convenience, some derived - lsst.pex.config.Field-types (- ConfigFieldand- ConfigChoiceField) are defined in- lsst.pex.configthat handle recursing into subconfigs.- Inter-field relationships should only be checked in derived - Configclasses after calling this method, and base validation is complete.
 - values()¶
- Get field values. - Returns:
- valuesValuesView
- Iterator of field values. 
 
- values