/* * Copyright (c) 2016, 2017, Oracle and/or its affiliates. All rights reserved. * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. * * This code is free software; you can redistribute it and/or modify it * under the terms of the GNU General Public License version 2 only, as * published by the Free Software Foundation. * * This code is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License * version 2 for more details (a copy is included in the LICENSE file that * accompanied this code). * * You should have received a copy of the GNU General Public License version * 2 along with this work; if not, write to the Free Software Foundation, * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. * * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA * or visit www.oracle.com if you need additional information or have any * questions. */ #include "precompiled.hpp" #include "gc/shared/workerDataArray.inline.hpp" #include "memory/resourceArea.hpp" #include "unittest.hpp" #include "utilities/ostream.hpp" static const double epsilon = 0.0001; template class WorkerDataArrayTest : public ::testing::Test { protected: WorkerDataArrayTest() : title("Test array"), array(3, title), sub_item_title("Sub item array"), sub_item(3, sub_item_title) { array.link_thread_work_items(&sub_item); } const char* print_summary() { stringStream out; array.print_summary_on(&out); return out.as_string(); } const char* print_details() { stringStream out; array.print_details_on(&out); return out.as_string(); } const char* print_expected_summary() { return prepend_with(title, expected_summary()); } const char* print_expected_details() { return prepend_with("", expected_details()); } // returns expected summary for array without uninitialized elements // used it because string representation of double depends on locale static const char* format_summary( T min, double avg, T max, T diff, T sum, size_t workers); const char* title; WorkerDataArray array; const char* sub_item_title; WorkerDataArray sub_item; private: virtual const char* expected_summary() = 0; virtual const char* expected_details() = 0; static const char* prepend_with(const char* str, const char* orig) { stringStream out; out.print("%-25s", str); out.print("%s", orig); return out.as_string(); } ResourceMark rm; }; template<> const char* WorkerDataArrayTest::format_summary( size_t min, double avg, size_t max, size_t diff, size_t sum, size_t workers) { stringStream out; out.print(" Min: " SIZE_FORMAT ", Avg: %4.1lf, Max: " SIZE_FORMAT ", Diff: " SIZE_FORMAT ", Sum: " SIZE_FORMAT ", Workers: " SIZE_FORMAT "\n", min, avg, max, diff, sum, workers); return out.as_string(); } template<> const char* WorkerDataArrayTest::format_summary( double min, double avg, double max, double diff, double sum, size_t workers) { stringStream out; out.print(" Min: %4.1lf" ", Avg: %4.1lf, Max: %4.1lf" ", Diff: %4.1lf, Sum: %4.1lf" ", Workers: " SIZE_FORMAT "\n", min, avg, max, diff, sum, workers); return out.as_string(); } class BasicWorkerDataArrayTest : public WorkerDataArrayTest { protected: BasicWorkerDataArrayTest() { array.set(0, 5); array.set(1, 3); array.set(2, 7); array.set_thread_work_item(0, 1); array.set_thread_work_item(1, 2); array.set_thread_work_item(2, 3); } private: virtual const char* expected_summary() { return format_summary(3, 5.0, 7, 4, 15, 3); } virtual const char* expected_details() { return " 5 3 7\n"; } }; TEST_VM_F(BasicWorkerDataArrayTest, sum_test) { ASSERT_EQ(15u, array.sum()); ASSERT_EQ(6u, array.thread_work_items(0)->sum()); } TEST_VM_F(BasicWorkerDataArrayTest, average_test) { ASSERT_NEAR(5.0, array.average(), epsilon); ASSERT_NEAR(2.0, array.thread_work_items(0)->average(), epsilon); } TEST_VM_F(BasicWorkerDataArrayTest, print_summary_on_test) { ASSERT_STREQ(print_expected_summary(), print_summary()); } TEST_VM_F(BasicWorkerDataArrayTest, print_details_on_test) { ASSERT_STREQ(print_expected_details(), print_details()); } class AddWorkerDataArrayTest : public WorkerDataArrayTest { protected: AddWorkerDataArrayTest() { array.set(0, 5); array.set(1, 3); array.set(2, 7); for (uint i = 0; i < 3; i++) { array.add(i, 1); } WorkerDataArray* sub_items = array.thread_work_items(0); sub_items->set(0, 1); sub_items->set(1, 2); sub_items->set(2, 3); for (uint i = 0; i < 3; i++) { array.add_thread_work_item(i, 1); } } private: virtual const char* expected_summary() { return format_summary(4, 6.0, 8, 4, 18, 3); } virtual const char* expected_details() { return " 6 4 8\n"; } }; TEST_VM_F(AddWorkerDataArrayTest, sum_test) { ASSERT_EQ(18u, array.sum()); ASSERT_EQ(9u, array.thread_work_items(0)->sum()); } TEST_VM_F(AddWorkerDataArrayTest, average_test) { ASSERT_NEAR(6.0, array.average(), epsilon); ASSERT_NEAR(3.0, array.thread_work_items(0)->average(), epsilon); } TEST_VM_F(AddWorkerDataArrayTest, print_summary_on_test) { ASSERT_STREQ(print_expected_summary(), print_summary()); } TEST_VM_F(AddWorkerDataArrayTest, print_details_on_test) { ASSERT_STREQ(print_expected_details(), print_details()); } class UninitializedElementWorkerDataArrayTest : public WorkerDataArrayTest { protected: UninitializedElementWorkerDataArrayTest() { array.set(0, 5); array.set(1, WorkerDataArray::uninitialized()); array.set(2, 7); } private: virtual const char* expected_summary() { return format_summary(5, 6.0, 7, 2, 12, 2); } virtual const char* expected_details() { return " 5 - 7\n"; } }; TEST_VM_F(UninitializedElementWorkerDataArrayTest, sum_test) { ASSERT_EQ(12u, array.sum()); } TEST_VM_F(UninitializedElementWorkerDataArrayTest, average_test) { ASSERT_NEAR(6.0, array.average(), epsilon); } TEST_VM_F(UninitializedElementWorkerDataArrayTest, print_summary_on_test) { ASSERT_STREQ(print_expected_summary(), print_summary()); } TEST_VM_F(UninitializedElementWorkerDataArrayTest, print_details_on_test) { ASSERT_STREQ(print_expected_details(), print_details()); } class UninitializedWorkerDataArrayTest : public WorkerDataArrayTest { protected: UninitializedWorkerDataArrayTest() { array.set(0, WorkerDataArray::uninitialized()); array.set(1, WorkerDataArray::uninitialized()); array.set(2, WorkerDataArray::uninitialized()); } private: virtual const char* expected_summary() { return " skipped\n"; } virtual const char* expected_details() { return " - - -\n"; } }; TEST_VM_F(UninitializedWorkerDataArrayTest, sum_test) { ASSERT_EQ(0u, array.sum()); } TEST_VM_F(UninitializedWorkerDataArrayTest, average_test) { ASSERT_NEAR(0.0, array.average(), epsilon); } TEST_VM_F(UninitializedWorkerDataArrayTest, print_summary_on_test) { ASSERT_STREQ(print_expected_summary(), print_summary()); } TEST_VM_F(UninitializedWorkerDataArrayTest, print_details_on_test) { ASSERT_STREQ(print_expected_details(), print_details()); } class UninitializedDoubleElementWorkerDataArrayTest : public WorkerDataArrayTest { protected: UninitializedDoubleElementWorkerDataArrayTest() { array.set(0, 5.1 / MILLIUNITS); array.set(1, WorkerDataArray::uninitialized()); array.set(2, 7.2 / MILLIUNITS); } private: virtual const char* expected_summary() { return format_summary(5.1, 6.1, 7.2, 2.1, 12.3, 2); } virtual const char* expected_details() { stringStream out; out.print(" %4.1lf - %4.1lf\n", 5.1, 7.2); return out.as_string(); } }; TEST_VM_F(UninitializedDoubleElementWorkerDataArrayTest, sum_test) { ASSERT_NEAR(12.3 / MILLIUNITS, array.sum(), epsilon); } TEST_VM_F(UninitializedDoubleElementWorkerDataArrayTest, average_test) { ASSERT_NEAR(6.15 / MILLIUNITS, array.average(), epsilon); } TEST_VM_F(UninitializedDoubleElementWorkerDataArrayTest, print_summary_on_test) { ASSERT_STREQ(print_expected_summary(), print_summary()); } TEST_VM_F(UninitializedDoubleElementWorkerDataArrayTest, print_details_on_test) { ASSERT_STREQ(print_expected_details(), print_details()); }