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llvm-mirror/unittests/ADT/DAGDeltaAlgorithmTest.cpp
Daniel Dunbar 956f97134b ADT: Add DAGDeltaAlgorithm, which is a DAG minimization algorithm built on top of the standard 'delta debugging' algorithm.
- This can give substantial speedups in the delta process for inputs we can construct dependency information for.

llvm-svn: 105612
2010-06-08 16:21:22 +00:00

123 lines
3.0 KiB
C++

//===- llvm/unittest/ADT/DAGDeltaAlgorithmTest.cpp ------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
#include "gtest/gtest.h"
#include "llvm/ADT/DAGDeltaAlgorithm.h"
#include <algorithm>
#include <cstdarg>
using namespace llvm;
namespace std {
static std::ostream &operator<<(std::ostream &OS,
const std::set<unsigned> &S) {
OS << "{";
for (std::set<unsigned>::const_iterator it = S.begin(),
ie = S.end(); it != ie; ++it) {
if (it != S.begin())
OS << ",";
OS << *it;
}
OS << "}";
return OS;
}
}
namespace {
typedef DAGDeltaAlgorithm::edge_ty edge_ty;
class FixedDAGDeltaAlgorithm : public DAGDeltaAlgorithm {
changeset_ty FailingSet;
unsigned NumTests;
protected:
virtual bool ExecuteOneTest(const changeset_ty &Changes) {
++NumTests;
return std::includes(Changes.begin(), Changes.end(),
FailingSet.begin(), FailingSet.end());
}
public:
FixedDAGDeltaAlgorithm(const changeset_ty &_FailingSet)
: FailingSet(_FailingSet),
NumTests(0) {}
unsigned getNumTests() const { return NumTests; }
};
std::set<unsigned> fixed_set(unsigned N, ...) {
std::set<unsigned> S;
va_list ap;
va_start(ap, N);
for (unsigned i = 0; i != N; ++i)
S.insert(va_arg(ap, unsigned));
va_end(ap);
return S;
}
std::set<unsigned> range(unsigned Start, unsigned End) {
std::set<unsigned> S;
while (Start != End)
S.insert(Start++);
return S;
}
std::set<unsigned> range(unsigned N) {
return range(0, N);
}
TEST(DAGDeltaAlgorithmTest, Basic) {
std::vector<edge_ty> Deps;
// Dependencies:
// 1 - 3
Deps.clear();
Deps.push_back(std::make_pair(3, 1));
// P = {3,5,7} \in S,
// [0, 20),
// should minimize to {1,3,5,7} in a reasonable number of tests.
FixedDAGDeltaAlgorithm FDA(fixed_set(3, 3, 5, 7));
EXPECT_EQ(fixed_set(4, 1, 3, 5, 7), FDA.Run(range(20), Deps));
EXPECT_GE(46U, FDA.getNumTests());
// Dependencies:
// 0 - 1
// \- 2 - 3
// \- 4
Deps.clear();
Deps.push_back(std::make_pair(1, 0));
Deps.push_back(std::make_pair(2, 0));
Deps.push_back(std::make_pair(4, 0));
Deps.push_back(std::make_pair(3, 2));
// This is a case where we must hold required changes.
//
// P = {1,3} \in S,
// [0, 5),
// should minimize to {0,1,2,3} in a small number of tests.
FixedDAGDeltaAlgorithm FDA2(fixed_set(2, 1, 3));
EXPECT_EQ(fixed_set(4, 0, 1, 2, 3), FDA2.Run(range(5), Deps));
EXPECT_GE(9U, FDA2.getNumTests());
// This is a case where we should quickly prune part of the tree.
//
// P = {4} \in S,
// [0, 5),
// should minimize to {0,4} in a small number of tests.
FixedDAGDeltaAlgorithm FDA3(fixed_set(1, 4));
EXPECT_EQ(fixed_set(2, 0, 4), FDA3.Run(range(5), Deps));
EXPECT_GE(6U, FDA3.getNumTests());
}
}