py_os_parameter
Last update: 05.08.2026class py_os_parameter.DProp
__init__()
class py_os_parameter.DPropList
__init__()
__iter__() → object
dprop_export_list() → DPropList
push_back(arg2: DPropPair)
size() → int
class py_os_parameter.DPropPair
__init__()
property first
property second
class py_os_parameter.ParameterList
__init__()
__iter__() → object
param_export_list() → ParameterList
push_back(arg2: PyParameter)
size() → int
class py_os_parameter.PyParameter
__eq__(arg2: PyParameter) → bool
__init__()
__init__(arg2: str)
__init__(arg2: str, arg3: float, arg4: float, arg5: float, arg6: int)
__init__(arg2: str, arg3: float, arg4: float, arg5: PyOSDesignEntry, arg6: int)
__init__(arg2: str, arg3: PyOSDesignEntryVec, arg4: DeterministicType)
__init__(arg2: str, arg3: str)
__init__(arg2: str, arg3: RandomVariableType, arg4: RandomVariableKind, arg5: PyOSDesignEntry)
__is_equal__(arg2: PyParameter) → bool
__is_not_equal__(arg2: PyParameter) → bool
__ne__(arg2: PyParameter) → bool
erase_det_prop(name: str)
get_dependency_expression() → str
get_det_discrete_states() → PyOSDesignEntryVec
get_det_kind() → DeterministicType
get_det_prop_by_index(index: int) → DProp
get_det_prop_name(index: int) → object
get_det_props() → DPropList
get_det_type() → EntryType
get_id() → UUID
get_lower_bound() → PyOSDesignEntry
get_mutable_map() → object
get_name() → str
get_parameter_type() → ParameterType
get_ran_cov() → float
get_ran_kind() → RandomVariableKind
get_ran_parameters() → doubleVec
get_ran_prop() → RanProp
get_ran_statistical_moments() → doubleVec
get_ran_type() → RandomVariableType
get_reference_value() → PyOSDesignEntry
get_upper_bound() → PyOSDesignEntry
has_continuous_distribution() → bool
has_marginal_distribution() → bool
has_set_ran_cov() → bool
has_set_ran_parameters() → bool
has_set_ran_statistical_moments() → bool
is_active() → bool
is_const() → bool
is_continuous() → bool
is_dependent() → bool
is_empirical() → bool
is_mixed() → bool
is_modifiable() → bool
is_mutable(member: object) → bool
is_optimization() → bool
is_pure_optimization() → bool
is_pure_stochastic() → bool
is_ran_prop_validated() → bool
is_stochastic() → bool
rename_det_prop(arg2: str)
rename_det_prop(arg2: str, to: str)
rename_parameter(to: str)
set_active(active: bool)
set_bounds(lower_bound: PyOSDesignEntry, upper_bound: PyOSDesignEntry)
set_const(constant: bool)
set_dependent(expression: str)
set_det_prop_by_index(value: DProp, index: int)
set_discrete_states(states: PyOSDesignEntryVec)
set_kind(kind: DeterministicType)
set_lower_bound(value: PyOSDesignEntry)
set_modifiable(arg2: bool)
set_mutable(member: object, state: bool)
set_mutable_map(arg2: object)
set_parameter_type(type: ParameterType)
set_ran_cov(cov: float) → float
set_ran_kind(kind: RandomVariableKind)
set_ran_parameters(parameters: doubleVec)
set_ran_prop_validated(arg2: bool)
set_ran_statistical_moments(moments: doubleVec)
set_ran_type(type: RandomVariableType)
set_reference_value(value: PyOSDesignEntry)
set_type(type: EntryType)
set_upper_bound(value: PyOSDesignEntry)
class py_os_parameter.PyParameterManager
__eq__(arg2: PyParameterManager) → bool
__init__()
__is_equal__(arg2: PyParameterManager) → bool
__is_not_equal__(arg2: PyParameterManager) → bool
__iter__() → object
__len__() → int
__ne__(arg2: PyParameterManager) → bool
add_dependent_parameter(parameter_name: str, expression: str)
add_deterministic_continuous_parameter(name: str, lower_bound: float, upper_bound: float, reference_value: float)
Add a new deterministic continuous parameter. A range_mode of 1 or 2 sets a relative lower respectively upper bound. A range_mode of 3 sets both bounds relative.
pm = PyParameterManager()
pm.add_deterministic_continuous_parameter('a', 0., 3., 1.5)
add_parameter(name: str)
add_stochastic_parameter(name: str, type: RandomVariableType, kind: RandomVariableKind, reference_value: PyOSDesignEntry)
Add a new stochastic parameter. It is required to set a parameter type and random parameters afterwards.
pm = PyParameterManager()
pm.add_stochastic_parameter('s1', RandomVariableType.NORMAL, RandomVariableKind.DETERMINISTIC, PyOSDesignEntry(0.72))
pm.set_parameter_type('s1', ParameterType.STOCHASTIC)
pm.set_ran_parameters('s1', double_list_to_vec([0.72, 0.3])) # normal distribution: mu, sigmah
clear()
contains_parameter(name: str) → bool
contains_parameter(id: UUID) → bool
empty() → bool
erase_correlation(arg2: str, parameter_name: str) → bool
erase_correlations(parameter_name_b: str) → bool
erase_parameter(parameter_name: str)
get_bounds(parameter_name: str, lower_bound: PyOSDesignEntry, upper_bound: PyOSDesignEntry)
get_bounds(parameter_name: str) → tuple
[0] Note, that lower_bound and upper_bound are output arguments.
[1] Return a parameter’s boundaries as a tuple.
get_det_props() → DPropList
get_det_props_by_index(parameter_name: str, index: int) → DProp
get_parameter(parameter_name: str) → PyParameter
get_parameter(parameter_id: UUID) → PyParameter
get_parameter_by_index(index: int) → PyParameter
get_parameters() → ParameterList
get_ran_prop(parameter_name: str) → RanProp
get_ran_props() → RanPropList
get_reference_design() → PyOSDesignEntryVec
get_reference_design_point() → PyOSDesignPoint
get_size() → int
get_unique_name() → str
import_from_csv(csv: Path path)
Add parameters from csv to parameter manager.
import_from_json(path: Path)
Add parameters from json to parameter manager.
import_from_json_string(content: str)
Add parameters from json string to parameter manager.
insert_parameter(parameter: PyParameter)
rename_det_prop(parameter_name: str, from: str, to: str)
rename_parameter(from: str, to: str)
reset_correlations()
save_to_csv(csv: Path path)
Save parameter manager to a csv file.
save_to_json(path: Path)
Save parameter manager to a json file.
