KOKO\Mimi
69 lines
2.8 KiB
C++
69 lines
2.8 KiB
C++
#include <gtest/gtest.h>
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#include <filesystem>
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#include <fstream>
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#include <iomanip>
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#include <iostream>
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#include "fesa/app/fesa_application.h"
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#include "thermal_reference_comparison.h"
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namespace {
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std::string Bytes(const std::filesystem::path& path) {
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std::ifstream in{path, std::ios::binary};
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return {std::istreambuf_iterator<char>{in}, std::istreambuf_iterator<char>{}};
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}
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TEST(ThermalReference, OriginalAbaqusNt11RemainsAnExplicitFailingDiagnostic) {
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const auto folder =
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std::filesystem::path{FESA_TEST_SOURCE_DIR} / "reference/shell-thermal";
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const auto input = folder / "shell-thermal.inp";
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const auto csv = folder / "shell-thermal NodalTemperature.csv";
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const auto before_input = Bytes(input), before_csv = Bytes(csv);
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ASSERT_FALSE(before_input.empty());
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ASSERT_FALSE(before_csv.empty());
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const int exit = fesa::FesaApplication{}.Run({input.string()});
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EXPECT_EQ(Bytes(input), before_input);
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EXPECT_EQ(Bytes(csv), before_csv);
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ASSERT_EQ(exit, 0);
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const auto result = fesa::test::CompareThermalReferenceFiles(
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input, csv, folder / "shell-thermal_results.h5");
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ASSERT_TRUE(result.HasValue())
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<< (result.HasValue() ? "" : result.GetStatus().Diagnostics()[0].message);
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const auto& r = result.Value();
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ASSERT_EQ(r.rows.size(), 729U);
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const auto output = std::filesystem::path{FESA_TEST_BINARY_DIR} /
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"thermal-reference-metrics.csv";
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std::ofstream rows{output};
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rows
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<< "instance,label,dof,actual,reference,absolute_error,threshold,passed\n"
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<< std::setprecision(17);
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std::size_t failed = 0;
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for (const auto& row : r.rows) {
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failed += !row.tolerance.passed;
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rows << row.instance << ',' << row.label << ',' << row.source_dof << ','
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<< row.actual << ',' << row.reference << ','
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<< row.tolerance.absolute_error << ',' << row.tolerance.threshold
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<< ',' << row.tolerance.passed << '\n';
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}
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ASSERT_TRUE(rows.good());
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std::cout << std::setprecision(17)
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<< "THERMAL_REFERENCE rows=" << r.rows.size()
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<< " S=" << r.family.reference_scale
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<< " B=" << r.family.near_zero_band
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<< " RMS/S=" << r.family.relative_rms
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<< " max_abs=" << r.family.maximum_absolute_error
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<< " failed_rows=" << failed << " numerical_passed=" << r.passed
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<< " classification=diagnostic blocking=" << r.family.blocking
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<< '\n';
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EXPECT_EQ(r.family.reference_scale, 1000);
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EXPECT_EQ(r.family.near_zero_band, 10);
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EXPECT_FALSE(r.family.blocking);
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EXPECT_FALSE(r.passed);
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EXPECT_FALSE(r.family.rms_passed);
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EXPECT_EQ(failed, 87U);
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EXPECT_GT(r.family.relative_rms,
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fesa::test::ReferenceTolerancePolicy::kRelativeRmsTolerance);
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EXPECT_GT(r.family.maximum_absolute_error, r.family.near_zero_band);
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}
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} // namespace
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