//===- MatrixTest.cpp - Tests for Matrix ----------------------------------===// // // 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 // //===----------------------------------------------------------------------===// #include "mlir/Analysis/Presburger/Matrix.h" #include #include namespace mlir { TEST(MatrixTest, ReadWrite) { Matrix mat(5, 5); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) mat(row, col) = 10 * row + col; for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) EXPECT_EQ(mat(row, col), int(10 * row + col)); } TEST(MatrixTest, SwapColumns) { Matrix mat(5, 5); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) mat(row, col) = col == 3 ? 1 : 0; mat.swapColumns(3, 1); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) EXPECT_EQ(mat(row, col), col == 1 ? 1 : 0); // swap around all the other columns, swap (1, 3) twice for no effect. mat.swapColumns(3, 1); mat.swapColumns(2, 4); mat.swapColumns(1, 3); mat.swapColumns(0, 4); mat.swapColumns(2, 2); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) EXPECT_EQ(mat(row, col), col == 1 ? 1 : 0); } TEST(MatrixTest, SwapRows) { Matrix mat(5, 5); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) mat(row, col) = row == 2 ? 1 : 0; mat.swapRows(2, 0); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) EXPECT_EQ(mat(row, col), row == 0 ? 1 : 0); // swap around all the other rows, swap (2, 0) twice for no effect. mat.swapRows(3, 4); mat.swapRows(1, 4); mat.swapRows(2, 0); mat.swapRows(1, 1); mat.swapRows(0, 2); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) EXPECT_EQ(mat(row, col), row == 0 ? 1 : 0); } TEST(MatrixTest, resizeVertically) { Matrix mat(5, 5); EXPECT_EQ(mat.getNumRows(), 5u); EXPECT_EQ(mat.getNumColumns(), 5u); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) mat(row, col) = 10 * row + col; mat.resizeVertically(3); EXPECT_EQ(mat.getNumRows(), 3u); EXPECT_EQ(mat.getNumColumns(), 5u); for (unsigned row = 0; row < 3; ++row) for (unsigned col = 0; col < 5; ++col) EXPECT_EQ(mat(row, col), int(10 * row + col)); mat.resizeVertically(5); EXPECT_EQ(mat.getNumRows(), 5u); EXPECT_EQ(mat.getNumColumns(), 5u); for (unsigned row = 0; row < 5; ++row) for (unsigned col = 0; col < 5; ++col) EXPECT_EQ(mat(row, col), row >= 3 ? 0 : int(10 * row + col)); } } // namespace mlir