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//===- Utils.h - Utils for Presburger Tests ---------------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines helper functions for Presburger unittests.
//
//===----------------------------------------------------------------------===//
#ifndef MLIR_UNITTESTS_ANALYSIS_PRESBURGER_UTILS_H
#define MLIR_UNITTESTS_ANALYSIS_PRESBURGER_UTILS_H
#include "mlir/Analysis/Presburger/GeneratingFunction.h"
#include "mlir/Analysis/Presburger/IntegerRelation.h"
#include "mlir/Analysis/Presburger/Matrix.h"
#include "mlir/Analysis/Presburger/PWMAFunction.h"
#include "mlir/Analysis/Presburger/PresburgerRelation.h"
#include "mlir/Analysis/Presburger/QuasiPolynomial.h"
#include "mlir/Analysis/Presburger/Simplex.h"
#include "mlir/IR/MLIRContext.h"
#include "mlir/Support/LLVM.h"
#include <gtest/gtest.h>
#include <optional>
namespace mlir {
namespace presburger {
inline IntMatrix makeIntMatrix(unsigned numRow, unsigned numColumns,
ArrayRef<SmallVector<int, 8>> matrix) {
IntMatrix results(numRow, numColumns);
assert(matrix.size() == numRow);
for (unsigned i = 0; i < numRow; ++i) {
assert(matrix[i].size() == numColumns &&
"Output expression has incorrect dimensionality!");
for (unsigned j = 0; j < numColumns; ++j)
results(i, j) = MPInt(matrix[i][j]);
}
return results;
}
inline FracMatrix makeFracMatrix(unsigned numRow, unsigned numColumns,
ArrayRef<SmallVector<Fraction, 8>> matrix) {
FracMatrix results(numRow, numColumns);
assert(matrix.size() == numRow);
for (unsigned i = 0; i < numRow; ++i) {
assert(matrix[i].size() == numColumns &&
"Output expression has incorrect dimensionality!");
for (unsigned j = 0; j < numColumns; ++j)
results(i, j) = matrix[i][j];
}
return results;
}
inline void EXPECT_EQ_INT_MATRIX(IntMatrix a, IntMatrix b) {
EXPECT_EQ(a.getNumRows(), b.getNumRows());
EXPECT_EQ(a.getNumColumns(), b.getNumColumns());
for (unsigned row = 0; row < a.getNumRows(); row++)
for (unsigned col = 0; col < a.getNumColumns(); col++)
EXPECT_EQ(a(row, col), b(row, col));
}
inline void EXPECT_EQ_FRAC_MATRIX(FracMatrix a, FracMatrix b) {
EXPECT_EQ(a.getNumRows(), b.getNumRows());
EXPECT_EQ(a.getNumColumns(), b.getNumColumns());
for (unsigned row = 0; row < a.getNumRows(); row++)
for (unsigned col = 0; col < a.getNumColumns(); col++)
EXPECT_EQ(a(row, col), b(row, col));
}
// Check the coefficients (in order) of two generating functions.
// Note that this is not a true equality check.
inline void EXPECT_EQ_REPR_GENERATINGFUNCTION(detail::GeneratingFunction a,
detail::GeneratingFunction b) {
EXPECT_EQ(a.getNumParams(), b.getNumParams());
SmallVector<int> aSigns = a.getSigns();
SmallVector<int> bSigns = b.getSigns();
EXPECT_EQ(aSigns.size(), bSigns.size());
for (unsigned i = 0, e = aSigns.size(); i < e; i++)
EXPECT_EQ(aSigns[i], bSigns[i]);
std::vector<detail::ParamPoint> aNums = a.getNumerators();
std::vector<detail::ParamPoint> bNums = b.getNumerators();
EXPECT_EQ(aNums.size(), bNums.size());
for (unsigned i = 0, e = aNums.size(); i < e; i++)
EXPECT_EQ_FRAC_MATRIX(aNums[i], bNums[i]);
std::vector<std::vector<detail::Point>> aDens = a.getDenominators();
std::vector<std::vector<detail::Point>> bDens = b.getDenominators();
EXPECT_EQ(aDens.size(), bDens.size());
for (unsigned i = 0, e = aDens.size(); i < e; i++) {
EXPECT_EQ(aDens[i].size(), bDens[i].size());
for (unsigned j = 0, f = aDens[i].size(); j < f; j++) {
EXPECT_EQ(aDens[i][j].size(), bDens[i][j].size());
for (unsigned k = 0, g = aDens[i][j].size(); k < g; k++) {
EXPECT_EQ(aDens[i][j][k], bDens[i][j][k]);
}
}
}
}
// Check the coefficients (in order) of two quasipolynomials.
// Note that this is not a true equality check.
inline void EXPECT_EQ_REPR_QUASIPOLYNOMIAL(QuasiPolynomial a,
QuasiPolynomial b) {
EXPECT_EQ(a.getNumInputs(), b.getNumInputs());
SmallVector<Fraction> aCoeffs = a.getCoefficients(),
bCoeffs = b.getCoefficients();
EXPECT_EQ(aCoeffs.size(), bCoeffs.size());
for (unsigned i = 0, e = aCoeffs.size(); i < e; i++)
EXPECT_EQ(aCoeffs[i], bCoeffs[i]);
std::vector<std::vector<SmallVector<Fraction>>> aAff = a.getAffine(),
bAff = b.getAffine();
EXPECT_EQ(aAff.size(), bAff.size());
for (unsigned i = 0, e = aAff.size(); i < e; i++) {
EXPECT_EQ(aAff[i].size(), bAff[i].size());
for (unsigned j = 0, f = aAff[i].size(); j < f; j++)
for (unsigned k = 0, g = a.getNumInputs(); k <= g; k++)
EXPECT_EQ(aAff[i][j][k], bAff[i][j][k]);
}
}
/// lhs and rhs represent non-negative integers or positive infinity. The
/// infinity case corresponds to when the Optional is empty.
inline bool infinityOrUInt64LE(std::optional<MPInt> lhs,
std::optional<MPInt> rhs) {
// No constraint.
if (!rhs)
return true;
// Finite rhs provided so lhs has to be finite too.
if (!lhs)
return false;
return *lhs <= *rhs;
}
/// Expect that the computed volume is a valid overapproximation of
/// the true volume `trueVolume`, while also being at least as good an
/// approximation as `resultBound`.
inline void expectComputedVolumeIsValidOverapprox(
const std::optional<MPInt> &computedVolume,
const std::optional<MPInt> &trueVolume,
const std::optional<MPInt> &resultBound) {
assert(infinityOrUInt64LE(trueVolume, resultBound) &&
"can't expect result to be less than the true volume");
EXPECT_TRUE(infinityOrUInt64LE(trueVolume, computedVolume));
EXPECT_TRUE(infinityOrUInt64LE(computedVolume, resultBound));
}
inline void expectComputedVolumeIsValidOverapprox(
const std::optional<MPInt> &computedVolume,
std::optional<int64_t> trueVolume, std::optional<int64_t> resultBound) {
expectComputedVolumeIsValidOverapprox(
computedVolume, llvm::transformOptional(trueVolume, mpintFromInt64),
llvm::transformOptional(resultBound, mpintFromInt64));
}
} // namespace presburger
} // namespace mlir
#endif // MLIR_UNITTESTS_ANALYSIS_PRESBURGER_UTILS_H