Source code for armi.cases.inputModifiers.inputModifiers

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"""Modifies inputs."""


[docs]class InputModifier: """ Object that modifies input definitions in some well-defined way. (This class is abstract.) Subclasses must implement a ``__call__`` method accepting a ``CaseSettings``, ``Blueprints``, and ``SystemLayoutInput``. The class attribute ``FAIL_IF_AFTER`` should be a tuple defining what, if any, modifications this should fail if performed after. For example, one should not adjust the smear density (a function of Cladding ID) before adjusting the Cladding ID. Some subclasses are provided, but you are expected to make your own design-specific modifiers in most cases. """ FAIL_IF_AFTER = () def __init__(self, independentVariable=None): """ Constuctor. Parameters ---------- independentVariable : dict or None, optional Name/value pairs to associate with the independent variable being modified by this object. Will be analyzed and plotted against other modifiers with the same name. """ if independentVariable is None: independentVariable = {} self.independentVariable = independentVariable def __call__(self, cs, bp, geom): """Perform the desired modifications to input objects.""" raise NotImplementedError
[docs]class SamplingInputModifier(InputModifier): """ Object that modifies input definitions in some well-defined way. (This class is abstract.) Subclasses must implement a ``__call__`` method accepting a ``CaseSettings``, ``Blueprints``, and ``SystemLayoutInput``. This is a modified version of the InputModifier abstract class that imposes structure for parameters in a design space that will be sampled by a quasi-random sampling algorithm. These algorithms require input modifiers to specify if the parameter is continuous or discrete and have the bounds specified. """ def __init__( self, name: str, paramType: str, bounds: list, independentVariable=None ): """[summary] Parameters ---------- name: str Name of input modifier. paramType : str specify if parameter is 'continuous' or 'discrete' bounds : list If continuous, provide floating points [a, b] specifing the inclusive bounds. If discrete, provide a list of potential values [a, b, c, ...] independentVariable : [type], optional Name/value pairs to associate with the independent variable being modified by this object. Will be analyzed and plotted against other modifiers with the same name, by default None """ InputModifier.__init__(self, independentVariable=independentVariable) self.name = name self.paramType = paramType self.bounds = bounds def __call__(self, cs, blueprints, geom): """Perform the desired modifications to input objects.""" raise NotImplementedError
[docs]class FullCoreModifier(InputModifier): """ Grow the SystemLayoutInput to from a symmetric core to a full core. Notes ----- Besides the core, other grids may also be of interest for expansion, like a grid that defines fuel management. However, the expansion of a fuel management schedule to full core is less trivial than just expanding the core itself. Thus, this modifier currently does not attempt to update fuel management grids, but an expanded implementation could do so in the future if needed. For now, users must expand fuel management grids to full core themself. """ def __call__(self, cs, bp, geom): """Core might be on a geom object or a grid blueprint""" if geom: geom.growToFullCore() else: coreBp = bp.gridDesigns["core"] coreBp.expandToFull() return cs, bp, geom
[docs]class SettingsModifier(InputModifier): """ Adjust setting to specified value. """ def __init__(self, settingName, value): InputModifier.__init__(self, independentVariable={settingName: value}) self.settingName = settingName self.value = value def __call__(self, cs, bp, geom): cs = cs.modified(newSettings={self.settingName: self.value}) return cs, bp, geom
[docs]class MultiSettingModifier(InputModifier): """ Adjust multiple settings to specified values. Examples -------- >>> inputModifiers.MultiSettingModifier( ... {CONF_NEUTRONICS_TYPE: "both", CONF_COARSE_MESH_REBALANCE: -1} ... ) """ def __init__(self, settingVals: dict): InputModifier.__init__(self, independentVariable=settingVals) self.settings = settingVals def __call__(self, cs, bp, geom): newSettings = {} for name, val in self.settings.items(): newSettings[name] = val cs = cs.modified(newSettings=newSettings) return cs, bp, geom
[docs]class BluePrintBlockModifier(InputModifier): """Adjust blueprint block->component->dimension to specified value.""" def __init__(self, block, component, dimension, value): InputModifier.__init__(self, independentVariable={dimension: value}) self.block = block self.component = component self.dimension = dimension self.value = value def __call__(self, cs, bp, geom): # parse block for blockDesign in bp.blockDesigns: if blockDesign.name == self.block: # parse component for componentDesign in blockDesign: if componentDesign.name == self.component: # set new value setattr(componentDesign, self.dimension, self.value) return cs, bp, geom return cs, bp, geom