pandakota.input.variables module
Variables
Module containing DAKOTA variable classes
- class pandakota.input.variables.NormalUncertainVariable(key: str, mean: float, std_dev: float)
Bases:
VariableDAKOTA input variable described by a normal distribution
- Attributes:
- dtype
- element
- mean
Methods
justify()Align this variable's name and values nicely
- block_name = 'normal_uncertain'
- property mean
- class pandakota.input.variables.StateVariable(key, dtype, nominal)
Bases:
VariableDiscrete state DAKOTA input variable
- Attributes:
- block_name
- dtype
- element
- nominal
- properties
Methods
fromVariable(other)Cast another variable as a StateVariable
justify()Align this variable's name and values nicely
- property block_name: str
- classmethod fromVariable(other)
Cast another variable as a StateVariable
- property nominal
- property properties: Dict
- class pandakota.input.variables.UniformUncertainVariable(key: str, lower: float, upper: float)
Bases:
VariableDAKOTA input variable described by a uniform distribution
- Attributes:
- dtype
- element
- lower
- upper
Methods
justify()Align this variable's name and values nicely
- block_name = 'uniform_uncertain'
- property lower
- property upper
- class pandakota.input.variables.Variable(key: str, dtype: type)
Bases:
ABCAbstract Base Class for DAKOTA input variable
- Attributes:
- block_name
- dtype
- element
Methods
justify()Align this variable's name and values nicely
- block_name = None
- property dtype
- property element
- justify() Dict
Align this variable’s name and values nicely