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Refactor ArgumentSelectionDefectChecker and AssertEqualsArgumentOrder…
…Checker to share a library object rather than inherit from one another RELNOTES: Move argument selection checking logic to a separate class ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=155563608
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...java/com/google/errorprone/bugpatterns/argumentselectiondefects/ArgumentChangeFinder.java
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/* | ||
* Copyright 2017 Google Inc. All Rights Reserved. | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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package com.google.errorprone.bugpatterns.argumentselectiondefects; | ||
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import com.google.auto.value.AutoValue; | ||
import com.google.common.collect.ImmutableList; | ||
import java.util.function.Function; | ||
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/** | ||
* Instances of this class are used to find whether there should be argument swaps on a method | ||
* invocation. It's general operation is through using the provided distance function to compute the | ||
* similarity of a parameter name and an argument name. A change is a permutation of the original | ||
* arguments which has the lowest total distance. This is computed as the minimum cost distance | ||
* match on the bi-partite graph mapping parameters to assignable arguments. | ||
* | ||
* @author andrewrice@google.com (Andrew Rice) | ||
*/ | ||
@AutoValue | ||
abstract class ArgumentChangeFinder { | ||
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/** | ||
* The distance function to use when comparing formal and actual parameters. The function should | ||
* return 0 for highly similar names and larger positive values as names are more different. | ||
*/ | ||
abstract Function<ParameterPair, Double> distanceFunction(); | ||
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/** List of heuristics to apply to eliminate spurious suggestions. */ | ||
abstract ImmutableList<Heuristic> heuristics(); | ||
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static Builder builder() { | ||
return new AutoValue_ArgumentChangeFinder.Builder(); | ||
} | ||
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@AutoValue.Builder | ||
abstract static class Builder { | ||
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/** Set the distance function that {@code ArgumentChangeFinder} should use. */ | ||
abstract Builder setDistanceFunction(Function<ParameterPair, Double> distanceFunction); | ||
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abstract ImmutableList.Builder<Heuristic> heuristicsBuilder(); | ||
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/** | ||
* Add the given heuristic to the list to be considered by {@code ArugmentChangeFinder} for | ||
* eliminating spurious findings. Heuristics are applied in order so add more expensive checks | ||
* last. | ||
*/ | ||
Builder addHeuristic(Heuristic heuristic) { | ||
heuristicsBuilder().add(heuristic); | ||
return this; | ||
} | ||
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abstract ArgumentChangeFinder build(); | ||
} | ||
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/** | ||
* Find the optimal permutation of arguments for this method invocation or return {@code | ||
* Changes.empty()} if no good permutations were found. | ||
*/ | ||
Changes findChanges(InvocationInfo invocationInfo) { | ||
/* Methods with one or fewer parameters cannot possibly have a swap */ | ||
if (invocationInfo.formalParameters().size() <= 1) { | ||
return Changes.empty(); | ||
} | ||
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/* Sometimes we don't have enough actual parameters. This seems to happen sometimes with calls | ||
* to super and javac finds two parameters arg0 and arg1 and no arguments */ | ||
if (invocationInfo.actualParameters().size() < invocationInfo.formalParameters().size()) { | ||
return Changes.empty(); | ||
} | ||
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ImmutableList<Parameter> formals = | ||
Parameter.createListFromVarSymbols(invocationInfo.formalParameters()); | ||
ImmutableList<Parameter> actuals = | ||
Parameter.createListFromExpressionTrees( | ||
invocationInfo.actualParameters().subList(0, invocationInfo.formalParameters().size())); | ||
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Costs costs = new Costs(formals, actuals); | ||
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/* Set the distance between a pair to Inf if not assignable */ | ||
costs | ||
.viablePairs() | ||
.filter(ParameterPair::isAlternativePairing) | ||
.filter(p -> !p.actual().isAssignableTo(p.formal(), invocationInfo.state())) | ||
.forEach(p -> costs.invalidatePair(p)); | ||
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/* If there are no formal parameters which are assignable to any alternative actual parameters | ||
then we can stop without trying to look for permutations */ | ||
if (costs.viablePairs().noneMatch(ParameterPair::isAlternativePairing)) { | ||
return Changes.empty(); | ||
} | ||
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/* Set the lexical distance between pairs */ | ||
costs.viablePairs().forEach(p -> costs.updatePair(p, distanceFunction().apply(p))); | ||
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Changes changes = costs.computeAssignments(); | ||
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if (changes.isEmpty()) { | ||
return changes; | ||
} | ||
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/* Only keep this change if all of the heuristics match */ | ||
for (Heuristic heuristic : heuristics()) { | ||
if (!heuristic.isAcceptableChange( | ||
changes, invocationInfo.tree(), invocationInfo.symbol(), invocationInfo.state())) { | ||
return Changes.empty(); | ||
} | ||
} | ||
return changes; | ||
} | ||
} |
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