DistanceChannelAnalyzer¶
Inheritance diagram¶
Classes¶
DistanceChannelAnalyzer¶
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class
ORSModel.ors.DistanceChannelAnalyzer¶ Bases:
ORSModel.ors.Unmanaged-
climbFromROI(self, lDistanceChannel: ORSModel.ors.Channel, inputROI: ORSModel.ors.ROI, outputROI: ORSModel.ors.ROI) → ROI¶ Parameters: - lDistanceChannel (ORSModel.ors.Channel) –
- inputROI (ORSModel.ors.ROI) –
- outputROI (ORSModel.ors.ROI) –
Returns: output (ORSModel.ors.ROI) –
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descentPathTowardMinimum(self, lDistanceChannel: ORSModel.ors.Channel, inputROI: ORSModel.ors.ROI, InputPath: ORSModel.ors.VisualPath) → VisualPath¶ Parameters: - lDistanceChannel (ORSModel.ors.Channel) –
- inputROI (ORSModel.ors.ROI) –
- InputPath (ORSModel.ors.VisualPath) –
Returns: output (ORSModel.ors.VisualPath) –
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descentTowardMinimum(self, lDistanceChannel: ORSModel.ors.Channel, inputROI: ORSModel.ors.ROI, outputROI: ORSModel.ors.ROI) → ROI¶ Parameters: - lDistanceChannel (ORSModel.ors.Channel) –
- inputROI (ORSModel.ors.ROI) –
- outputROI (ORSModel.ors.ROI) –
Returns: output (ORSModel.ors.ROI) –
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getClassNameStatic() → str¶ getClassNameStatic
Returns: output (str) –
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none() → DistanceChannelAnalyzer¶ Returns: output (DistanceChannelAnalyzer) –
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Unmanaged¶
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class
ORSModel.ors.Unmanaged Bases:
ORSModel.ors.ORSBaseClassbrief_description: Abstract class for objects that are not managed by the core library. author: Eric Fournier. All other members of ORS participated. version: 1.0 date: Jan 2005
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atomicLoad(sFilename: str) → Unmanaged Creates an object from a file where an object was saved.
Parameters: sFilename (str) – path of the file to load Returns: output (Unmanaged) – a managed object, or none() if the load fails
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atomicSave(self, aFilename: str) → int Saves the object to a file.
Parameters: aFilename (str) – path of the file to save Returns: output (int) – 0 if successful, otherwise an error code
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createFromPythonRepresentation(aPythonRepresentation: str) → Unmanaged Create aUnmanaged Object from a python representation a static method.
Parameters: aPythonRepresentation (str) – Returns: output (ORSModel.ors.Unmanaged) –
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fromPythonRepresentation(self, aPythonRepresentation: str) → bool Create aUnmanaged object from a Python string representation.
Parameters: aPythonRepresentation (str) – a Python evaluable string representation (a string) Returns: output (bool) – TRUE if parsing worked, FALSE otherwise (a bool)
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classmethod
getAllSubclasses(outputCollection=None)
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classmethod
getClassDenomination()
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static
getClassFromProgId(progId)
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getClassName(self) → str Retrieves the class name of the core object wrapped by this Interface object.
Returns: output (str) –
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getClassNameStatic() → str getClassNameStatic
Returns: output (str) –
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getDataChecksum(self) → str Returns: output (str) –
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getIsInstanceOf(self, pProgId: str) → bool Queries the object to know if it is an instance of a certain class.
Parameters: pProgId (str) – Returns: output (bool) –
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classmethod
getIsSubclassOf(parentClass)
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getPythonRepresentation(self) → str Gets a Python evaluable string representation.
Returns: output (str) –
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isNone(self) → bool Checks if the receiver is none.
Returns: output (bool) –
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isNotNone(self) → bool Checks if the receiver is not none.
Returns: output (bool) –
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none() → Unmanaged Returns: output (Unmanaged) –
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ORSBaseClass¶
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class
ORSModel.ors.ORSBaseClass brief_description: An abstract class from which all objects issued from the author: Eric Fournier. All other members of ORS participated. version: 1.0 date: Jan 2005
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getPythonTraceBack() → typing.List[str] Set the python traceback for a call from python.
Returns: output (typing.List[str]) –
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isManaged(self) → bool Returns: output (bool) –
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isNone(self) → bool Returns: output (bool) –
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setPythonTraceBack(tb: ORSModel.ors.typing.List[str]) → None Set the python traceback for a call from python.
Parameters: tb (typing.List[str]) –
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