Source code for armi.cases.suiteBuilder

# Copyright 2019 TerraPower, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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r"""
Contains classes that build case suites from perturbing inputs.

The general use case is to create a :py:class:`~SuiteBuilder` with a base
:py:class:`~armi.cases.case.Case`, use :py:meth:`~SuiteBuilder.addDegreeOfFreedom` to
adjust inputs according to the supplied arguments, and finally use ``.buildSuite`` to
generate inputs. The case suite can then be discovered, submitted, and analyzed using
the standard ``CaseSuite`` objects.

This module contains a variety of ``InputModifier`` objects as well, which are examples
of how you can modify inputs for parameter sweeping. Power-users will generally make
their own ``Modifier``\ s that are design-specific.

"""
import copy
import os
import random
from pyDOE import lhs
from typing import List
from collections import Counter

from armi.cases import suite
from armi.cases.inputModifiers.inputModifiers import InputModifier


[docs]def getInputModifiers(cls): return cls.__subclasses__() + [ g for s in cls.__subclasses__() for g in getInputModifiers(s) ]
[docs]class SuiteBuilder: """ Class for constructing a CaseSuite from combinations of modifications on base inputs. Attributes ---------- baseCase : armi.cases.case.Case A Case object to perturb modifierSets : list(tuple(InputModifier)) Contains a list of tuples of ``InputModifier`` instances. A single case is constructed by running a series (the tuple) of InputModifiers on the case. NOTE: This is public such that someone could pop an item out of the list if it is known to not work, or be unnecessary. """ def __init__(self, baseCase): self.baseCase = baseCase self.modifierSets = [] # pylint: disable=import-outside-toplevel; avoid circular import from .inputModifiers import inputModifiers # use an instance variable instead of global lookup. this could allow someone to add their own # modifiers, and also prevents it memory usage / discovery from simply loading the module. self._modifierLookup = { k.__name__: k for k in getInputModifiers(inputModifiers.InputModifier) } def __len__(self): return len(self.modifierSets) def __repr__(self): return "<SuiteBuilder len:{} baseCase:{}>".format(len(self), self.baseCase)
[docs] def addDegreeOfFreedom(self, inputModifiers): """ Add a degree of freedom to the SweepBuilder. The exact application of this is dependent on a subclass. Parameters ---------- inputModifiers : list(callable(CaseSettings, Blueprints, SystemLayoutInput)) A list of callable objects with the signature ``(CaseSettings, Blueprints, SystemLayoutInput)``. When these objects are called they should perturb the settings, blueprints, and/or geometry by some amount determined by their construction. """ raise NotImplementedError
[docs] def addModiferSet(self, inputModifierSet: List): """ Add a single input modifier set to the suite. Used to add modifications that are not necessarily another degree of freedom. """ self.modifierSets.append(inputModifierSet)
[docs] def buildSuite(self, namingFunc=None): """ Builds a ``CaseSuite`` based on the modifierSets contained in the SuiteBuilder. For each sequence of modifications, this creates a new ``Case`` from the ``baseCase``, and runs the sequence of modifications on the new ``Case``'s inputs. The modified ``Case`` is then added to a ``CaseSuite``. The resulting ``CaseSuite`` is returned. Parameters ---------- namingFunc : callable(index, case, tuple(InputModifier)), (optional) Function used to name each case. It is supplied with the index (int), the case (Case), and a tuple of InputModifiers used to edit the case. This should be enough information for someone to derive a meaningful name. The function should return a string specifying the path of the ``CaseSettings``, this allows the user to specify the directories where each case will be run. If not supplied the path will be ``./case-suite/<0000>/<title>-<0000>``, where ``<0000>`` is the four-digit case index, and ``<title>`` is the ``baseCase.title``. Raises ------ RuntimeError When order of modifications is deemed to be invalid. Returns ------- caseSuite : CaseSuite Derived from the ``baseCase`` and modifications. """ caseSuite = suite.CaseSuite(self.baseCase.cs) if namingFunc is None: def namingFunc(index, _case, _mods): # pylint: disable=function-redefined uniquePart = "{:0>4}".format(index) return os.path.join( ".", "case-suite", uniquePart, self.baseCase.title + "-" + uniquePart, ) for index, modList in enumerate(self.modifierSets): case = copy.deepcopy(self.baseCase) previousMods = [] case.bp._prepConstruction(case.cs) for mod in modList: # it may seem late to figure this out, but since we are doing it now, someone could # filter these conditions out before the buildSuite. optionally, we could have a # flag for "skipInvalidModficationCombos=False" shouldHaveBeenBefore = [ fail for fail in getattr(mod, "FAIL_IF_AFTER", ()) if fail in previousMods ] if any(shouldHaveBeenBefore): raise RuntimeError( "{} must occur before {}".format( mod, ",".join(repr(m) for m in shouldHaveBeenBefore) ) ) previousMods.append(type(mod)) case.cs, case.bp, case.geom = mod(case.cs, case.bp, case.geom) case.independentVariables.update(mod.independentVariable) case.cs.path = namingFunc(index, case, modList) caseSuite.add(case) return caseSuite
[docs]class FullFactorialSuiteBuilder(SuiteBuilder): """Builds a suite that has every combination of each modifier.""" def __init__(self, baseCase): SuiteBuilder.__init__(self, baseCase) # initialize with empty tuple to trick cross-product to always work self.modifierSets.append(())
[docs] def addDegreeOfFreedom(self, inputModifiers): """ Add a degree of freedom to the SuiteBuilder. Creates the Cartesian product of the ``inputModifiers`` supplied and those already applied. For example:: class SettingModifier(InputModifier): def __init__(self, settingName, value): self.settingName = settingName self.value = value def __call__(self, cs, bp, geom): cs = cs.modified(newSettings={settignName: value}) return cs, bp, geom builder = FullFactorialSuiteBuilder(someCase) builder.addDegreeOfFreedom(SettingModifier('settingName1', value) for value in (1,2)) builder.addDegreeOfFreedom(SettingModifier('settingName2', value) for value in (3,4,5)) would result in 6 cases: | Index | ``settingName1`` | ``settingName2`` | | ----- | ---------------- | ---------------- | | 0 | 1 | 3 | | 1 | 2 | 3 | | 2 | 1 | 4 | | 3 | 2 | 4 | | 4 | 1 | 5 | | 5 | 2 | 5 | See Also -------- SuiteBuilder.addDegreeOfFreedom """ # Cartesian product. Append a new modifier to the end of a chain of previously defined. new = [ existingModSet + (newModifier,) for newModifier in inputModifiers for existingModSet in self.modifierSets ] del self.modifierSets[:] self.modifierSets.extend(new)
[docs]class FullFactorialSuiteBuilderNoisy(FullFactorialSuiteBuilder): """ Adds a bit of noise to each independent variable to avoid duplicates. This can be useful in some statistical postprocessors. .. warning:: Use with caution. This is part of ongoing research. """ def __init__(self, baseCase, noiseFraction): FullFactorialSuiteBuilder.__init__(self, baseCase) self.noiseFraction = noiseFraction
[docs] def addDegreeOfFreedom(self, inputModifiers): new = [] for newMod in inputModifiers: for existingModSet in self.modifierSets: existingModSetCopy = copy.deepcopy(existingModSet) for mod in existingModSetCopy: self._perturb(mod) newModCopy = copy.deepcopy(newMod) self._perturb(newModCopy) new.append(existingModSetCopy + (newModCopy,)) del self.modifierSets[:] self.modifierSets.extend(new)
def _perturb(self, mod): indeps = {} for key, val in mod.independentVariable.items(): # perturb values by 10% randomly newVal = val + val * self.noiseFraction * (2 * random.random() - 1) indeps[key] = newVal mod.independentVariable = indeps
[docs]class SeparateEffectsSuiteBuilder(SuiteBuilder): """Varies each degree of freedom in isolation."""
[docs] def addDegreeOfFreedom(self, inputModifiers): """ Add a degree of freedom to the SuiteBuilder. Adds a case for each modifier supplied. For example:: class SettingModifier(InputModifier): def __init__(self, settingName, value): self.settingName = settingName self.value = value def __call__(self, cs, bp, geom): cs = cs.modified(newSettings={settignName: value}) return cs, bp, geom builder = SeparateEffectsSuiteBuilder(someCase) builder.addDegreeOfFreedom(SettingModifier('settingName1', value) for value in (1,2)) builder.addDegreeOfFreedom(SettingModifier('settingName2', value) for value in (3,4,5)) would result in 5 cases: | Index | ``settingName1`` | ``settingName2`` | | ----- | ---------------- | ---------------- | | 0 | 1 | default | | 1 | 2 | default | | 2 | default | 3 | | 3 | default | 4 | | 4 | default | 5 | See Also -------- SuiteBuilder.addDegreeOfFreedom """ self.modifierSets.extend((modifier,) for modifier in inputModifiers)
[docs]class LatinHyperCubeSuiteBuilder(SuiteBuilder): """Implements a Latin Hypercube Sampling suite builder. This method is used to provide a more efficient sampling of the design space. LHS more efficiently samples the space evenly across dimensions compared to random sampling. It requires fewer points than a full factorial since it samples quasi-randomly into nonoverlapping partitions. It is recommended to use a surrogate model with the sampled data to get the full benefit. Attributes ---------- modifierSets: An array of InputModifiers specifying input parameters. """ def __init__(self, baseCase, size): SuiteBuilder.__init__(self, baseCase) self.size = size self.modifierSets = []
[docs] def addDegreeOfFreedom(self, inputModifiers): """ Add a degree of freedom to the SuiteBuilder. Unlike other types of suite builders, only one instance of a modifier class should be added. This is because the Latin Hypercube Sampling will automatically perturb the values and produce modifier sets internally. A settings modfier class passed to this method need include bounds by which the LHS algorithm can perturb the input parameters. For example:: class InputParameterModifier(SamplingInputModifier): def __init__( self, name: str, pararmType: str, # either 'continuous' or 'discrete' bounds: Optional[Tuple, List] ): super().__init__(name, paramType, bounds) def __call__(self, cs, bp, geom): ... If the modifier is discrete then bounds specifies a list of options the values can take. If continuous, then bounds specifies a range of values. """ names = [mod.name for mod in self.modifierSets + inputModifiers] if len(names) != len(set(names)): counts = Counter(names) duplicateNames = [] for key in counts.keys(): if counts[key] > 1: duplicateNames.append(key) raise ValueError( "Only a single input parameter should be inserted as an input modifer " + "since cases are added through Latin Hypercube Sampling.\n" + "Each inputModifier adds a dimension to the Latin Hypercube and " + "represents a single input variable.\n" + f"{duplicateNames} have duplicates. " ) self.modifierSets.extend(inputModifiers)
[docs] def buildSuite(self, namingFunc=None): """ Builds a ``CaseSuite`` based on the modifierSets contained in the SuiteBuilder. For each sequence of modifications, this creates a new ``Case`` from the ``baseCase``, and runs the sequence of modifications on the new ``Case``'s inputs. The modified ``Case`` is then added to a ``CaseSuite``. The resulting ``CaseSuite`` is returned. Parameters ---------- namingFunc : callable(index, case, tuple(InputModifier)), (optional) Function used to name each case. It is supplied with the index (int), the case (Case), and a tuple of InputModifiers used to edit the case. This should be enough information for someone to derive a meaningful name. The function should return a string specifying the path of the ``CaseSettings``, this allows the user to specify the directories where each case will be run. If not supplied the path will be ``./case-suite/<0000>/<title>-<0000>``, where ``<0000>`` is the four-digit case index, and ``<title>`` is the ``baseCase.title``. Raises ------ RuntimeError When order of modifications is deemed to be invalid. Returns ------- caseSuite : CaseSuite Derived from the ``baseCase`` and modifications. """ original_modifiers = copy.deepcopy(self.modifierSets) del self.modifierSets[:] samples = lhs( len(original_modifiers), samples=self.size, criterion="maximin", iterations=100, ) # Normalizing samples to modifier bounds and creating modifier objects. for i in range(len(samples)): modSet = [] for j, mod in enumerate(original_modifiers): new_mod = copy.deepcopy(mod) if mod.paramType == "continuous": value = (mod.bounds[1] - mod.bounds[0]) * samples[i][ j ] + mod.bounds[0] new_mod.value = value elif mod.paramType == "discrete": index = round(samples[i][j] * (len(mod.bounds) - 1)) value = mod.bounds[index] new_mod.value = value modSet.append(new_mod) self.modifierSets.append(modSet) return super().buildSuite(namingFunc=namingFunc)