custom_types
Last update: 16.07.2025class custom_types.HidSpecificInputData
An aggregate of input arguments per hid.
__init__()
property hid
Hierarchical ID of a design variation, for example, [0.99.4]
property input_file
Input file.
property input_file_encoding
Input file encoding.
property input_slot_values
A dict where slot names are keys and items are the slot values.
property osl_variables
A dict where the keys are optiSLang application specific variables names and items their respective values.
property reference_file
Reference file.
property reference_file_encoding
Reference file encoding.
property reference_file_is_relative_to_working_directory
Whether “reference_file” is specified relative to working directory.
property working_dir_hierarchy
The nodes working directory hierarchy.
property working_directory
String. The nodes working directory.
class custom_types.HidSpecificInputDataIntegrations
__init__()
property parameter_values
Parameter values of a specific HId.
class custom_types.HidSpecificOutputData
An aggregate of output arguments per hid.
__init__()
__init__(arg2: HID)
__init__(arg2: HID, arg3: RunStatus)
__init__(arg2: HidSpecificInputData)
__init__(arg2: HidSpecificInputData, arg3: RunStatus)
__init__(hid: HID, run_status: RunStatus, output_slot_values: dict) → object
__init__(input_data: HidSpecificInputData, run_status: RunStatus, output_slot_values: dict) → object
[5] Create a HidSpecificOutputData instance.
[6] Create a HidSpecificOutputData instance.
property hid
Hierarchical ID of a design variation, for example, [0.99.4]
property output_slot_values
A dict where keys are the output slot names and items are the output slot values.
property status
RunStatus object.
class custom_types.HidSpecificOutputDataIntegrations
An aggregate of output arguments per hid. Specialization for integration node.
__init__()
__init__(hid: HID)
__init__(hid: HID, run_status: RunStatus)
__init__(input_data: HidSpecificInputData)
__init__(input_data: HidSpecificInputData, run_status: RunStatus)
__init__(hid: HID, run_status: RunStatus, output_slot_values: dict) → object
__init__(hid: HID, run_status: RunStatus, output_slot_values: dict, response_values: PyOSDesignPoint) → object
__init__(input_data: HidSpecificInputData, run_status: RunStatus, output_slot_values: dict) → object
__init__(input_data: HidSpecificInputData, run_status: RunStatus, output_slot_values: dict, response_values: PyOSDesignPoint) → object
[1] Create a HidSpecificOutputDataIntegrations instance.
[2] Create a HidSpecificOutputDataIntegrations instance.
[3] Create a HidSpecificOutputDataIntegrations instance.
[4] Create a HidSpecificOutputDataIntegrations instance.
[5] Create a HidSpecificOutputDataIntegrations instance.
[6] Create a HidSpecificOutputDataIntegrations instance.
[7] Create a HidSpecificOutputDataIntegrations instance.
[8] Create a HidSpecificOutputDataIntegrations instance.
property adapted_parameter_values
Adapted parameter values of a specific HId.
property responses
Response values of a specific HId.
class custom_types.HidSpecificOutputDataMop
An aggregate of output arguments per hid. Specialization for MOP node.
__init__()
__init__(hid: HID)
__init__(hid: HID, run_status: RunStatus)
__init__(input_data: HidSpecificInputData)
__init__(input_data: HidSpecificInputData, run_status: RunStatus)
__init__(hid: HID, run_status: RunStatus, output_slot_values: dict) → object
__init__(hid: HID, run_status: RunStatus, output_slot_values: dict, resulting_parameter_manager: PyParameterManager) → object
__init__(input_data: HidSpecificInputData, run_status: RunStatus, output_slot_values: dict) → object
__init__(input_data: HidSpecificInputData, run_status: RunStatus, output_slot_values: dict, resulting_parameter_manager: PyParameterManager) → object
[1] Create a HidSpecificOutputDataMop instance.
[2] Create a HidSpecificOutputDataMop instance.
[3] Create a HidSpecificOutputDataMop instance.
[4] Create a HidSpecificOutputDataMop instance.
[5] Create a HidSpecificOutputDataMop instance.
[6] Create a HidSpecificOutputDataMop instance.
[7] Create a HidSpecificOutputDataMop instance.
[8] Create a HidSpecificOutputDataMop instance.
property resulting_parameter_manager
A class for managing parameters.
class custom_types.InputDefinition
Defining the inputs.
__init__()
__init__(arg2: str, arg3: PyOSDesignEntry)
property discrete_states
None or a list of design entries.
property lower_bound
The lower bound or None.
property mean
The value’s mean or None.
property random_variable_type
The random variable’s type or None.
property standard_deviation
The standard deviation or None.
property upper_bound
The upper bound or None.
class custom_types.OutputDefinition
Defining the outputs.
__init__()
__init__(arg2: str)
__init__(arg2: str, arg3: PyOSDesignEntry)
class custom_types.RunStatus
An object for documenting success and loggin purpose.
__init__()
__init__(arg2: bool)
__init__(arg2: bool, arg3: str)
property message
Message for logging purpose.
property success
Flag for documenting success.
class custom_types.ValueDefinition
Common base for InputValueDefintion and OutputDefinition
__init__()
Raises an exception This class cannot be instantiated from Python
property additional_data
Extend the list view of detected inputs and outputs by additional columns where “key” is the column headers and “item” is the corresponding field value. A tree structure for grouping the data can be build here as well: Providing “”entry_n” : “ANodeLabel””, where n can be 1-9, the current ValueDefinition is assigned to the specified group.
