feat(linear-static-3d-euler-beam): step 19 - essential-constraints

This commit is contained in:
KOKO\Mimi
2026-08-09 19:46:36 +09:00
parent dc6b670db5
commit f3361bfb4e
6 changed files with 592 additions and 0 deletions
@@ -809,3 +809,54 @@
| REVIEW1-targeted | `ctest --test-dir .harness/build -C Debug -R SparseAssembly --output-on-failure` | 0 | Exact SparseAssembly suite passed 5/5 |
| REVIEW1-full | `ctest --test-dir .harness/build -C Debug --output-on-failure` | 0 | Full accumulated suite passed 47/47 |
| REVIEW1-reference | `git diff --exit-code 59da6c6 -- reference/`; `git status --short -- reference/` | 0 | Approved reference artifacts remain unchanged and reference status is empty |
## Step 19 — essential-constraints
- task_id: `TASK-19`
- status: `completed`
- changed_files: `include/fesa/constraints/essential_constraints.hpp`,
`src/fesa/constraints/essential_constraints.cpp`,
`tests/unit/constraints/essential_constraints_test.cpp`,
`src/fesa/CMakeLists.txt`, `tests/CMakeLists.txt`,
`docs/implementation-plans/linear-static-3d-euler-beam-implementation-report.md`,
`phases/linear-static-3d-euler-beam/index.json`
- requirement_ids: `FESA-REQ-LS3DEB-007`, `FESA-REQ-LS3DEB-022`,
`FESA-REQ-LS3DEB-027`, `FESA-REQ-LS3DEB-034`,
`FESA-REQ-LS3DEB-035`
- test_ids: `T19-CONSTRAINT-001`, `T19-CONSTRAINT-002`,
`T19-CONSTRAINT-003`, `T19-CONSTRAINT-004`
| stage | exact command | exit_code | expected_or_observed_result | evidence_tail |
| --- | --- | ---: | --- | --- |
| RED-build | `cmake --build .harness/build --config Debug --target fesa_tests` | 1 | Exactly four planned tests were registered before production and the public constraint API was absent | MSVC C1083 reported missing `fesa/constraints/essential_constraints.hpp` from `essential_constraints_test.cpp` |
| GREEN-build | `cmake --build .harness/build --config Debug --target fesa_tests` | 0 | Minimum partition/mapping implementation and all four tests compiled and linked | `essential_constraints.cpp`, its test, `fesa_solver.lib`, and `fesa_unit_tests.exe` built without a FESA warning under `/W4 /WX` |
| GREEN-test | `ctest --test-dir .harness/build -C Debug -R EssentialConstraints --output-on-failure` | 0 | Hand-computed blocks, no/all/mixed constraints, nonzero reconstruction, and invalid dimensions passed | 4/4 exact `EssentialConstraints` tests passed |
| VERIFY-configure | `cmake -S . -B .harness/build -A x64 -DFESA_GTEST_SOURCE_DIR=C:/git/googletest "-DMKL_DIR=C:/Program Files (x86)/Intel/oneAPI/mkl/2026.1/lib/cmake/mkl" "-DTBB_DIR=C:/Program Files (x86)/Intel/oneAPI/tbb/2023.1/lib/cmake/tbb" "-DHDF5_DIR=C:/Program Files/HDF_Group/HDF5/2.1.1/cmake"` | 0 | Approved explicit-dependency MSVC x64 build tree generates | Windows SDK, oneMKL 2026.1, oneTBB, and HDF5 resolved; configure/generate completed |
| VERIFY-build | `cmake --build .harness/build --config Debug` | 0 | Full Debug build passes without a new FESA warning | `fesa_solver.lib` and `fesa_unit_tests.exe` built under `/W4 /WX` |
| VERIFY-targeted | `ctest --test-dir .harness/build -C Debug -R EssentialConstraints --output-on-failure` | 0 | Focused Step 19 suite remains green | 4/4 exact `EssentialConstraints` tests passed |
| VERIFY-discovery | `ctest --test-dir .harness/build -C Debug --show-only=json-v1` | 0 | CTest discovers the accumulated suite and all four exact names | 51 tests discovered, including 4 `EssentialConstraints` tests |
| VERIFY-full | `ctest --test-dir .harness/build -C Debug --output-on-failure` | 0 | Full accumulated C++ suite has zero failures | 51/51 tests passed |
| VERIFY-contract-scans | Public backend and forbidden load/RHS/penalty/MPC scans, exact-test-count scan, `git diff --check`, and reference status/diff checks | 0 | Essential partition remains isolated behind backend-free public types | backend leaks 0; forbidden scope 0; exact tests 4; whitespace clean; reference unchanged |
- contract_checks: `partition` validates the input CSR, exact square/full-DOF
dimensions, stable increasing free/constrained order, disjoint complete
coverage, free-equation correspondence, and prescribed-vector size before
extracting any block.
- contract_checks: each full CSR slot maps at most once into
`Kff/Kfc/Kcf/Kcc`. Filtering the stable full rows and sorted columns retains
numeric values, local row/column order, and exact structural zeros; every
returned block revalidates through the canonical 0-based CSR constructor.
- contract_checks: no/all/mixed constraint cases include valid zero-sized
rectangular blocks. `gatherFree`, `gatherConstrained`, and
`reconstructFull` reject vector-size mismatch and preserve caller-supplied
constrained values exactly, including nonzero prescribed displacement.
- contract_checks: the module does not assemble loads, form an effective RHS,
implement penalty/MPC behavior, or expose MKL/oneTBB/HDF5/PARDISO types.
- generated_evidence: `.harness/build/src/fesa/Debug/fesa_solver.lib`,
`.harness/build/tests/Debug/fesa_unit_tests.exe`
- reference_diff: unchanged; `git diff --exit-code -- reference/` exit 0
- handoff: Step 20 may factorize the validated `kff`; Step 21 may use `kfc`
with `DofManager::prescribedValues()` to form the nonzero prescribed
effective RHS without changing this module's mapping responsibility.
- concerns: none; no critical implementation or upstream contract conflict
was found.
@@ -0,0 +1,35 @@
#pragma once
#include "fesa/core/status.hpp"
#include "fesa/math/sparse_matrix.hpp"
#include "fesa/math/vector.hpp"
namespace fesa {
class DofManager;
struct PartitionedStiffness {
SparseMatrix kff;
SparseMatrix kfc;
SparseMatrix kcf;
SparseMatrix kcc;
};
// Applies the DofManager's stable elimination order without owning equation
// numbering, load assembly, or a solver policy.
class EssentialConstraints {
public:
static Result<PartitionedStiffness> partition(
const SparseMatrix& full,
const DofManager& dofs);
static Vector gatherFree(const Vector& full, const DofManager& dofs);
static Vector gatherConstrained(
const Vector& full,
const DofManager& dofs);
static Vector reconstructFull(
const Vector& freeValues,
const Vector& constrainedValues,
const DofManager& dofs);
};
} // namespace fesa
+1
View File
@@ -6,6 +6,7 @@ add_library(
assembly/parallel_for.cpp
assembly/sparse_assembler.cpp
build_info.cpp
constraints/essential_constraints.cpp
core/diagnostic.cpp
core/status.cpp
elements/euler_beam_3d.cpp
@@ -0,0 +1,261 @@
#include "fesa/constraints/essential_constraints.hpp"
#include "fesa/fem/dof_manager.hpp"
#include <algorithm>
#include <limits>
#include <stdexcept>
#include <string>
#include <utility>
#include <vector>
namespace fesa {
namespace {
Status constraintFailure(
const std::string& code,
const std::string& identity,
const std::string& message) {
return Status::failure(
FailureCategory::model,
{{Severity::error,
code,
{{}, 0U},
"ESSENTIAL_CONSTRAINTS",
identity,
message}});
}
bool isStrictlyIncreasing(const std::vector<std::size_t>& values) {
return std::adjacent_find(
values.begin(),
values.end(),
[](const std::size_t left, const std::size_t right) {
return left >= right;
}) == values.end();
}
Status validateDofOrder(const DofManager& dofs) {
const std::size_t fullCount = dofs.fullDofCount();
const auto& freeDofs = dofs.freeDofs();
const auto& constrainedDofs = dofs.constrainedDofs();
if (freeDofs.size() != dofs.freeDofCount() ||
constrainedDofs.size() != dofs.constrainedDofCount() ||
dofs.prescribedValues().size() != constrainedDofs.size() ||
constrainedDofs.size() > fullCount ||
freeDofs.size() != fullCount - constrainedDofs.size()) {
return constraintFailure(
"invalid-constraint-dimensions",
std::to_string(fullCount),
"DofManager full, free, constrained, and prescribed dimensions must agree.");
}
if (!isStrictlyIncreasing(freeDofs) ||
!isStrictlyIncreasing(constrainedDofs)) {
return constraintFailure(
"invalid-constraint-order",
std::to_string(fullCount),
"Free and constrained DOFs must use stable increasing full-DOF order.");
}
std::vector<unsigned char> ownership(fullCount, 0U);
try {
for (std::size_t equation = 0U;
equation < freeDofs.size();
++equation) {
const std::size_t fullDof = freeDofs[equation];
if (fullDof >= fullCount || ownership[fullDof] != 0U ||
dofs.freeEquation(fullDof) != equation) {
return constraintFailure(
"invalid-constraint-order",
std::to_string(fullDof),
"Free equation numbering must match the stable free-DOF order.");
}
ownership[fullDof] = 1U;
}
for (const std::size_t fullDof : constrainedDofs) {
if (fullDof >= fullCount || ownership[fullDof] != 0U ||
dofs.freeEquation(fullDof).has_value()) {
return constraintFailure(
"invalid-constraint-order",
std::to_string(fullDof),
"Constrained DOFs must be unique and absent from free equations.");
}
ownership[fullDof] = 2U;
}
} catch (const std::out_of_range&) {
return constraintFailure(
"invalid-constraint-dimensions",
std::to_string(fullCount),
"DofManager equation storage does not cover every full DOF.");
}
if (std::find(ownership.begin(), ownership.end(), 0U) != ownership.end()) {
return constraintFailure(
"invalid-constraint-order",
std::to_string(fullCount),
"Free and constrained DOFs must partition the complete full-DOF range.");
}
return Status::ok();
}
Result<SparseMatrix> extractBlock(
const SparseMatrix& full,
const std::vector<std::size_t>& rowDofs,
const std::vector<std::size_t>& columnDofs) {
const std::size_t absent = (std::numeric_limits<std::size_t>::max)();
std::vector<std::size_t> localColumn(full.columns(), absent);
for (std::size_t column = 0U; column < columnDofs.size(); ++column) {
localColumn[columnDofs[column]] = column;
}
SparsePattern pattern;
pattern.rowOffsets.reserve(rowDofs.size() + 1U);
pattern.rowOffsets.push_back(0U);
std::vector<CooContribution> contributions;
contributions.reserve(full.values().size());
for (std::size_t localRow = 0U;
localRow < rowDofs.size();
++localRow) {
const std::size_t fullRow = rowDofs[localRow];
for (std::size_t position = full.rowOffsets()[fullRow];
position < full.rowOffsets()[fullRow + 1U];
++position) {
const std::size_t column =
localColumn[full.columnIndices()[position]];
if (column == absent) {
continue;
}
pattern.columnIndices.push_back(column);
// One source CSR entry maps to one block slot, so exact numeric
// values and structural zeros survive without a new reduction.
contributions.push_back({
localRow,
column,
full.values()[position],
localRow,
position});
}
pattern.rowOffsets.push_back(pattern.columnIndices.size());
}
return SparseMatrix::fromCoo(
rowDofs.size(),
columnDofs.size(),
std::move(contributions),
pattern);
}
void requireDofOrder(const DofManager& dofs) {
if (!validateDofOrder(dofs).isOk()) {
throw std::invalid_argument{
"DofManager constraint dimensions or order are invalid."};
}
}
} // namespace
Result<PartitionedStiffness> EssentialConstraints::partition(
const SparseMatrix& full,
const DofManager& dofs) {
const Status matrixStatus = full.validate();
if (!matrixStatus.isOk()) {
return Result<PartitionedStiffness>::failure(matrixStatus);
}
if (full.rows() != full.columns() ||
full.rows() != dofs.fullDofCount()) {
return Result<PartitionedStiffness>::failure(constraintFailure(
"invalid-constraint-dimensions",
std::to_string(full.rows()) + "x" +
std::to_string(full.columns()),
"Full stiffness must be square and match the DofManager full dimension."));
}
const Status dofStatus = validateDofOrder(dofs);
if (!dofStatus.isOk()) {
return Result<PartitionedStiffness>::failure(dofStatus);
}
auto kff = extractBlock(full, dofs.freeDofs(), dofs.freeDofs());
if (!kff.hasValue()) {
return Result<PartitionedStiffness>::failure(kff.status());
}
auto kfc = extractBlock(full, dofs.freeDofs(), dofs.constrainedDofs());
if (!kfc.hasValue()) {
return Result<PartitionedStiffness>::failure(kfc.status());
}
auto kcf = extractBlock(full, dofs.constrainedDofs(), dofs.freeDofs());
if (!kcf.hasValue()) {
return Result<PartitionedStiffness>::failure(kcf.status());
}
auto kcc = extractBlock(
full, dofs.constrainedDofs(), dofs.constrainedDofs());
if (!kcc.hasValue()) {
return Result<PartitionedStiffness>::failure(kcc.status());
}
return Result<PartitionedStiffness>::success({
std::move(kff.value()),
std::move(kfc.value()),
std::move(kcf.value()),
std::move(kcc.value())});
}
Vector EssentialConstraints::gatherFree(
const Vector& full,
const DofManager& dofs) {
requireDofOrder(dofs);
if (full.size() != dofs.fullDofCount()) {
throw std::invalid_argument{
"Full vector size must match the DofManager full dimension."};
}
Vector reduced{dofs.freeDofCount()};
for (std::size_t equation = 0U;
equation < dofs.freeDofs().size();
++equation) {
reduced[equation] = full[dofs.freeDofs()[equation]];
}
return reduced;
}
Vector EssentialConstraints::gatherConstrained(
const Vector& full,
const DofManager& dofs) {
requireDofOrder(dofs);
if (full.size() != dofs.fullDofCount()) {
throw std::invalid_argument{
"Full vector size must match the DofManager full dimension."};
}
Vector reduced{dofs.constrainedDofCount()};
for (std::size_t index = 0U;
index < dofs.constrainedDofs().size();
++index) {
reduced[index] = full[dofs.constrainedDofs()[index]];
}
return reduced;
}
Vector EssentialConstraints::reconstructFull(
const Vector& freeValues,
const Vector& constrainedValues,
const DofManager& dofs) {
requireDofOrder(dofs);
if (freeValues.size() != dofs.freeDofCount() ||
constrainedValues.size() != dofs.constrainedDofCount()) {
throw std::invalid_argument{
"Reduced vector sizes must match the DofManager order."};
}
Vector full{dofs.fullDofCount()};
for (std::size_t equation = 0U;
equation < dofs.freeDofs().size();
++equation) {
full[dofs.freeDofs()[equation]] = freeValues[equation];
}
// Preserve caller-supplied dc exactly; nonzero prescribed displacement is
// never replaced with an implicit homogeneous constraint.
for (std::size_t index = 0U;
index < dofs.constrainedDofs().size();
++index) {
full[dofs.constrainedDofs()[index]] = constrainedValues[index];
}
return full;
}
} // namespace fesa
+1
View File
@@ -7,6 +7,7 @@ add_executable(
unit/analysis/analysis_state_test.cpp
unit/assembly/parallel_for_test.cpp
unit/assembly/sparse_assembler_test.cpp
unit/constraints/essential_constraints_test.cpp
unit/core/diagnostic_test.cpp
unit/core/source_identity_test.cpp
unit/core/status_test.cpp
@@ -0,0 +1,243 @@
#include "fesa/constraints/essential_constraints.hpp"
#include "fesa/analysis/analysis_model.hpp"
#include "fesa/fem/dof_manager.hpp"
#include "fesa/model/domain.hpp"
#include <gtest/gtest.h>
#include <cstddef>
#include <filesystem>
#include <stdexcept>
#include <string>
#include <utility>
#include <vector>
namespace {
fesa::DofManager makeDofs(
std::vector<fesa::BoundaryCondition> boundaries) {
const std::filesystem::path source{"models/essential-constraints.inp"};
fesa::ModelDefinition definition{};
definition.sourcePath = source;
definition.sourceContentIdentity = "fnv1a64:1234567890abcdef";
definition.nodes = {
{{"Beam-1", 1, "1"}, {0.0, 0.0, 0.0}, {source, 2U}}};
definition.steps = {{
"Step-1",
std::move(boundaries),
{},
0.1,
1.0,
0.01,
1.0,
{source, 10U}}};
auto domain = fesa::Domain::create(std::move(definition));
EXPECT_TRUE(domain.hasValue());
auto model = fesa::AnalysisModel::create(domain.value());
EXPECT_TRUE(model.hasValue());
auto dofs = fesa::DofManager::create(model.value());
EXPECT_TRUE(dofs.hasValue());
return std::move(dofs.value());
}
fesa::SparseMatrix makeMatrix(
const std::size_t rows,
const std::size_t columns,
const std::vector<double>& denseValues) {
EXPECT_EQ(denseValues.size(), rows * columns);
fesa::SparsePattern pattern;
std::vector<fesa::CooContribution> contributions;
pattern.rowOffsets.reserve(rows + 1U);
pattern.rowOffsets.push_back(0U);
for (std::size_t row = 0U; row < rows; ++row) {
for (std::size_t column = 0U; column < columns; ++column) {
pattern.columnIndices.push_back(column);
contributions.push_back({
row,
column,
denseValues[row * columns + column],
row,
column});
}
pattern.rowOffsets.push_back(pattern.columnIndices.size());
}
auto matrix = fesa::SparseMatrix::fromCoo(
rows, columns, std::move(contributions), pattern);
EXPECT_TRUE(matrix.hasValue());
return std::move(matrix.value());
}
std::vector<double> sequentialDense(const std::size_t size) {
std::vector<double> values(size * size);
for (std::size_t row = 0U; row < size; ++row) {
for (std::size_t column = 0U; column < size; ++column) {
values[row * size + column] =
static_cast<double>(row * 10U + column + 1U);
}
}
return values;
}
void expectShape(
const fesa::SparseMatrix& matrix,
const std::size_t rows,
const std::size_t columns) {
EXPECT_EQ(matrix.rows(), rows);
EXPECT_EQ(matrix.columns(), columns);
EXPECT_TRUE(matrix.validate().isOk());
}
} // namespace
TEST(EssentialConstraints, ExtractsHandComputedBlocksInStableOrder) {
const auto dofs = makeDofs({
{"1", 2, 2, 2.5, {{}, 12U}},
{"1", 5, 5, -3.25, {{}, 13U}}});
auto fullValues = sequentialDense(6U);
fullValues[2U * 6U + 4U] = 0.0;
const auto full = makeMatrix(6U, 6U, fullValues);
auto result = fesa::EssentialConstraints::partition(full, dofs);
ASSERT_TRUE(result.hasValue());
const auto& blocks = result.value();
EXPECT_EQ(blocks.kff.rowOffsets(), (std::vector<std::size_t>{0U, 4U, 8U, 12U, 16U}));
EXPECT_EQ(
blocks.kff.columnIndices(),
(std::vector<std::size_t>{
0U, 1U, 2U, 3U, 0U, 1U, 2U, 3U,
0U, 1U, 2U, 3U, 0U, 1U, 2U, 3U}));
EXPECT_EQ(
blocks.kff.values(),
(std::vector<double>{
1.0, 3.0, 4.0, 6.0,
21.0, 23.0, 24.0, 26.0,
31.0, 33.0, 34.0, 36.0,
51.0, 53.0, 54.0, 56.0}));
EXPECT_EQ(blocks.kfc.rowOffsets(), (std::vector<std::size_t>{0U, 2U, 4U, 6U, 8U}));
EXPECT_EQ(
blocks.kfc.columnIndices(),
(std::vector<std::size_t>{0U, 1U, 0U, 1U, 0U, 1U, 0U, 1U}));
EXPECT_EQ(
blocks.kfc.values(),
(std::vector<double>{2.0, 5.0, 22.0, 0.0, 32.0, 35.0, 52.0, 55.0}));
EXPECT_EQ(blocks.kcf.rowOffsets(), (std::vector<std::size_t>{0U, 4U, 8U}));
EXPECT_EQ(
blocks.kcf.columnIndices(),
(std::vector<std::size_t>{0U, 1U, 2U, 3U, 0U, 1U, 2U, 3U}));
EXPECT_EQ(
blocks.kcf.values(),
(std::vector<double>{11.0, 13.0, 14.0, 16.0, 41.0, 43.0, 44.0, 46.0}));
EXPECT_EQ(blocks.kcc.rowOffsets(), (std::vector<std::size_t>{0U, 2U, 4U}));
EXPECT_EQ(blocks.kcc.columnIndices(), (std::vector<std::size_t>{0U, 1U, 0U, 1U}));
EXPECT_EQ(blocks.kcc.values(), (std::vector<double>{12.0, 15.0, 42.0, 45.0}));
EXPECT_EQ(blocks.kfc.values()[3U], 0.0);
EXPECT_TRUE(blocks.kff.validate().isOk());
EXPECT_TRUE(blocks.kfc.validate().isOk());
EXPECT_TRUE(blocks.kcf.validate().isOk());
EXPECT_TRUE(blocks.kcc.validate().isOk());
}
TEST(EssentialConstraints, HandlesNoAllAndMixedConstraints) {
const auto full = makeMatrix(6U, 6U, sequentialDense(6U));
const auto noConstraints = makeDofs({});
auto none = fesa::EssentialConstraints::partition(full, noConstraints);
ASSERT_TRUE(none.hasValue());
expectShape(none.value().kff, 6U, 6U);
expectShape(none.value().kfc, 6U, 0U);
expectShape(none.value().kcf, 0U, 6U);
expectShape(none.value().kcc, 0U, 0U);
EXPECT_EQ(none.value().kff.values(), full.values());
const auto allConstraints = makeDofs({{"1", 1, 6, 1.0, {{}, 12U}}});
auto all = fesa::EssentialConstraints::partition(full, allConstraints);
ASSERT_TRUE(all.hasValue());
expectShape(all.value().kff, 0U, 0U);
expectShape(all.value().kfc, 0U, 6U);
expectShape(all.value().kcf, 6U, 0U);
expectShape(all.value().kcc, 6U, 6U);
EXPECT_EQ(all.value().kcc.values(), full.values());
const auto mixedConstraints = makeDofs({{"1", 3, 4, 0.0, {{}, 12U}}});
auto mixed = fesa::EssentialConstraints::partition(full, mixedConstraints);
ASSERT_TRUE(mixed.hasValue());
expectShape(mixed.value().kff, 4U, 4U);
expectShape(mixed.value().kfc, 4U, 2U);
expectShape(mixed.value().kcf, 2U, 4U);
expectShape(mixed.value().kcc, 2U, 2U);
}
TEST(EssentialConstraints, ReconstructsNonzeroPrescribedValues) {
const auto dofs = makeDofs({
{"1", 2, 2, 2.5, {{}, 12U}},
{"1", 5, 5, -3.25, {{}, 13U}}});
fesa::Vector full{6U};
full[0U] = 10.0;
full[1U] = 2.5;
full[2U] = 20.0;
full[3U] = 30.0;
full[4U] = -3.25;
full[5U] = 40.0;
const auto free = fesa::EssentialConstraints::gatherFree(full, dofs);
const auto constrained =
fesa::EssentialConstraints::gatherConstrained(full, dofs);
EXPECT_EQ(free.size(), 4U);
EXPECT_DOUBLE_EQ(free[0U], 10.0);
EXPECT_DOUBLE_EQ(free[1U], 20.0);
EXPECT_DOUBLE_EQ(free[2U], 30.0);
EXPECT_DOUBLE_EQ(free[3U], 40.0);
EXPECT_EQ(constrained.size(), 2U);
EXPECT_DOUBLE_EQ(constrained[0U], 2.5);
EXPECT_DOUBLE_EQ(constrained[1U], -3.25);
EXPECT_EQ(constrained[0U], dofs.prescribedValues()[0U]);
EXPECT_EQ(constrained[1U], dofs.prescribedValues()[1U]);
const auto reconstructed = fesa::EssentialConstraints::reconstructFull(
free, dofs.prescribedValues(), dofs);
ASSERT_EQ(reconstructed.size(), full.size());
for (std::size_t index = 0U; index < full.size(); ++index) {
EXPECT_DOUBLE_EQ(reconstructed[index], full[index]);
}
}
TEST(EssentialConstraints, RejectsDimensionOrOrderMismatch) {
const auto dofs = makeDofs({{"1", 2, 2, 1.0, {{}, 12U}}});
const auto wrongSquare = makeMatrix(5U, 5U, sequentialDense(5U));
auto wrongDimension =
fesa::EssentialConstraints::partition(wrongSquare, dofs);
ASSERT_FALSE(wrongDimension.hasValue());
EXPECT_EQ(
wrongDimension.status().failureCategory(),
fesa::FailureCategory::model);
ASSERT_EQ(wrongDimension.status().diagnostics().size(), 1U);
EXPECT_EQ(
wrongDimension.status().diagnostics()[0U].code,
"invalid-constraint-dimensions");
const auto rectangular = makeMatrix(
6U, 5U, std::vector<double>(30U, 0.0));
auto wrongOrder = fesa::EssentialConstraints::partition(rectangular, dofs);
ASSERT_FALSE(wrongOrder.hasValue());
EXPECT_EQ(
wrongOrder.status().diagnostics()[0U].code,
"invalid-constraint-dimensions");
EXPECT_THROW(
static_cast<void>(fesa::EssentialConstraints::gatherFree(
fesa::Vector{5U}, dofs)),
std::invalid_argument);
EXPECT_THROW(
static_cast<void>(fesa::EssentialConstraints::gatherConstrained(
fesa::Vector{7U}, dofs)),
std::invalid_argument);
EXPECT_THROW(
static_cast<void>(fesa::EssentialConstraints::reconstructFull(
fesa::Vector{4U}, fesa::Vector{2U}, dofs)),
std::invalid_argument);
}