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Mujoco_WASM/test/engine/engine_island_test.cc
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teerthsharma 5d91d878c2 Benchmark and expose disjoint-set islands
Signed-off-by: teerthsharma <teerths57@gmail.com>
2026-07-20 22:27:42 +05:30

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// Copyright 2023 DeepMind Technologies Limited
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Tests for engine/engine_island.c.
#include "src/engine/engine_island.h"
#include <array>
#include <cstdint>
#include <string>
#include <vector>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include <mujoco/mjmodel.h>
#include <mujoco/mujoco.h>
#include "src/engine/engine_util_sparse.h"
#include "test/fixture.h"
namespace mujoco {
namespace {
using ::testing::DoubleNear;
using ::testing::ElementsAre;
using ::testing::NotNull;
using ::testing::Pointwise;
using IslandTest = MujocoTest;
TEST_F(IslandTest, DsuInitHandlesEmptyAndNonemptyRanges) {
int parent[] = {8, 6, 7, 5};
_mjPRIVATE_dsuInit(parent, 0);
EXPECT_THAT(parent, ElementsAre(8, 6, 7, 5));
_mjPRIVATE_dsuInit(parent, 4);
EXPECT_THAT(parent, ElementsAre(-1, -1, -1, -1));
}
TEST_F(IslandTest, DsuFindReturnsCanonicalRootAndCompressesPath) {
int parent[] = {0, 0, 1, 2, 3};
EXPECT_EQ(_mjPRIVATE_dsuFind(parent, 0), 0);
EXPECT_EQ(_mjPRIVATE_dsuFind(parent, 4), 0);
EXPECT_THAT(parent, ElementsAre(0, 0, 0, 0, 0));
}
TEST_F(IslandTest, DsuUnionActivatesEndpointsAndUsesMinimumRoot) {
int parent[] = {-1, -1, -1, -1, -1, -1};
_mjPRIVATE_dsuUnion(parent, -1, 4);
_mjPRIVATE_dsuUnion(parent, 3, -1);
_mjPRIVATE_dsuUnion(parent, 5, 2);
_mjPRIVATE_dsuUnion(parent, 4, 5);
_mjPRIVATE_dsuUnion(parent, 3, 4);
EXPECT_THAT(parent, ElementsAre(-1, -1, 2, 2, 2, 2));
for (int tree = 2; tree < 6; ++tree) {
EXPECT_EQ(_mjPRIVATE_dsuFind(parent, tree), 2);
}
EXPECT_THAT(parent, ElementsAre(-1, -1, 2, 2, 2, 2));
}
TEST_F(IslandTest, DsuUnionRedundantAndReversedEdgesAreIdempotent) {
int parent[] = {-1, -1, -1, -1};
_mjPRIVATE_dsuUnion(parent, 3, 1);
_mjPRIVATE_dsuUnion(parent, 2, 1);
EXPECT_THAT(parent, ElementsAre(-1, 1, 1, 1));
_mjPRIVATE_dsuUnion(parent, 1, 3);
_mjPRIVATE_dsuUnion(parent, 3, 1);
_mjPRIVATE_dsuUnion(parent, 2, 2);
_mjPRIVATE_dsuUnion(parent, -1, 2);
EXPECT_THAT(parent, ElementsAre(-1, 1, 1, 1));
}
TEST_F(IslandTest, DsuUnionFastPathActivatesBeforeTestingParents) {
int self_parent[] = {-1, -1, -1};
_mjPRIVATE_dsuUnion(self_parent, 1, 1);
EXPECT_THAT(self_parent, ElementsAre(-1, 1, -1));
int static_first[] = {-1, -1, -1};
_mjPRIVATE_dsuUnion(static_first, -1, 2);
EXPECT_THAT(static_first, ElementsAre(-1, -1, 2));
int static_second[] = {-1, -1, -1};
_mjPRIVATE_dsuUnion(static_second, 0, -1);
EXPECT_THAT(static_second, ElementsAre(0, -1, -1));
}
TEST_F(IslandTest, DsuUnionFastPathDistinguishesParentsFromRoots) {
int distinct_parent[] = {0, 0, 2, 2};
_mjPRIVATE_dsuUnion(distinct_parent, 1, 3);
EXPECT_THAT(distinct_parent, ElementsAre(0, 0, 0, 2));
int shared_parent[] = {0, 0, 0, 3};
_mjPRIVATE_dsuUnion(shared_parent, 1, 2);
EXPECT_THAT(shared_parent, ElementsAre(0, 0, 0, 3));
int long_paths[] = {0, 0, 1, 3, 3, 4};
_mjPRIVATE_dsuUnion(long_paths, 2, 5);
EXPECT_THAT(long_paths, ElementsAre(0, 0, 0, 0, 3, 3));
}
TEST_F(IslandTest, DsuUnionFastPathPreservesCyclesDuplicatesAndForest) {
int parent[] = {-1, -1, -1, -1, -1, -1};
_mjPRIVATE_dsuUnion(parent, 0, 1);
_mjPRIVATE_dsuUnion(parent, 1, 2);
_mjPRIVATE_dsuUnion(parent, 2, 0);
_mjPRIVATE_dsuUnion(parent, 0, 2);
_mjPRIVATE_dsuUnion(parent, 3, 4);
_mjPRIVATE_dsuUnion(parent, 4, 5);
EXPECT_THAT(parent, ElementsAre(0, 0, 0, 3, 3, 3));
_mjPRIVATE_dsuUnion(parent, 5, 0);
EXPECT_THAT(parent, ElementsAre(0, 0, 0, 0, 3, 3));
}
TEST_F(IslandTest, DsuUnionRejectsStaticSelfIncidence) {
int parent[] = {-1, 1, 1, 3};
EXPECT_EQ(MjuErrorMessageFrom(_mjPRIVATE_dsuUnion)(parent, -1, -1),
"self-incidence of the static tree");
EXPECT_THAT(parent, ElementsAre(-1, 1, 1, 3));
}
TEST_F(IslandTest, DsuAssignHandlesEmptyAndInactiveInputs) {
int island[] = {71};
int parent[] = {72};
const int tree_dofnum[] = {73};
int nidof = -1;
EXPECT_EQ(_mjPRIVATE_dsuAssign(island, parent, tree_dofnum, 0, &nidof), 0);
EXPECT_EQ(nidof, 0);
EXPECT_THAT(island, ElementsAre(71));
EXPECT_THAT(parent, ElementsAre(72));
parent[0] = -1;
EXPECT_EQ(_mjPRIVATE_dsuAssign(island, parent, tree_dofnum, 1, &nidof), 0);
EXPECT_EQ(nidof, 0);
EXPECT_THAT(island, ElementsAre(-1));
EXPECT_THAT(parent, ElementsAre(-1));
}
TEST_F(IslandTest, DsuAssignLabelsComponentsAndCountsOnlyActiveDofs) {
int parent[] = {-1, 1, 1, 2, 4, 4, 6};
const int tree_dofnum[] = {1000, 0, 3, 5, 7, 11, 13};
int island[] = {9, 9, 9, 9, 9, 9, 9};
int nidof = -1;
EXPECT_EQ(_mjPRIVATE_dsuAssign(island, parent, tree_dofnum, 7, &nidof), 3);
EXPECT_EQ(nidof, 39);
EXPECT_THAT(island, ElementsAre(-1, 0, 0, 0, 1, 1, 2));
EXPECT_THAT(parent, ElementsAre(-1, 1, 1, 1, 4, 4, 6));
}
TEST_F(IslandTest, DsuAssignCompressesAscendingMultiHopForest) {
int parent[] = {-1, 1, 1, 2, 4, 4, 5, 7, 7, 8};
const int tree_dofnum[] = {99, 0, 2, 3, 0, 5, 7, 11, 0, 13};
int island[] = {9, 9, 9, 9, 9, 9, 9, 9, 9, 9};
int nidof = -1;
EXPECT_EQ(_mjPRIVATE_dsuAssign(island, parent, tree_dofnum, 10, &nidof), 3);
EXPECT_EQ(nidof, 41);
EXPECT_THAT(island, ElementsAre(-1, 0, 0, 0, 1, 1, 1, 2, 2, 2));
EXPECT_THAT(parent, ElementsAre(-1, 1, 1, 1, 4, 4, 4, 7, 7, 7));
}
TEST_F(IslandTest, DsuAssignCompresses4096NodeAdversarialChain) {
constexpr int kTreeCount = 4096;
std::vector<int> parent(kTreeCount);
std::vector<int> island(kTreeCount, -2);
std::vector<int> tree_dofnum(kTreeCount);
parent[0] = 0;
int expected_nidof = 0;
for (int tree = 1; tree < kTreeCount; ++tree) {
parent[tree] = tree - 1;
tree_dofnum[tree] = tree % 5;
expected_nidof += tree_dofnum[tree];
}
int nidof = -1;
EXPECT_EQ(_mjPRIVATE_dsuAssign(island.data(), parent.data(), tree_dofnum.data(),
kTreeCount, &nidof),
1);
EXPECT_EQ(nidof, expected_nidof);
for (int tree = 0; tree < kTreeCount; ++tree) {
EXPECT_EQ(island[tree], 0);
EXPECT_EQ(parent[tree], 0);
}
}
TEST_F(IslandTest, DsuHandlesLongConnectedBoundaryCase) {
constexpr int kTreeCount = 4096;
std::vector<int> parent(kTreeCount);
std::vector<int> island(kTreeCount, -2);
std::vector<int> tree_dofnum(kTreeCount);
_mjPRIVATE_dsuInit(parent.data(), kTreeCount);
int expected_nidof = 0;
for (int tree = kTreeCount - 1; tree > 0; --tree) {
_mjPRIVATE_dsuUnion(parent.data(), tree, tree - 1);
}
for (int tree = 0; tree < kTreeCount; ++tree) {
tree_dofnum[tree] = tree % 7;
expected_nidof += tree_dofnum[tree];
}
int nidof = -1;
EXPECT_EQ(_mjPRIVATE_dsuAssign(island.data(), parent.data(), tree_dofnum.data(),
kTreeCount, &nidof),
1);
EXPECT_EQ(nidof, expected_nidof);
for (int tree = 0; tree < kTreeCount; ++tree) {
EXPECT_EQ(island[tree], 0);
EXPECT_EQ(parent[tree], 0);
}
}
TEST_F(IslandTest, DsuRandomizedDifferentialAgainstGraphTraversal) {
constexpr uint32_t kSeed = 0x5eed3396u;
constexpr int kTrials = 2000;
uint32_t state = kSeed;
auto next = [&state]() {
state = state * 1664525u + 1013904223u;
return state;
};
for (int trial = 0; trial < kTrials; ++trial) {
const int ntree = 1 + next() % 64;
const int nedge = next() % 192;
std::vector<std::array<int, 2>> edges;
edges.reserve(nedge);
for (int edge = 0; edge < nedge; ++edge) {
int tree1;
int tree2;
switch (next() % 8) {
case 0:
tree1 = -1;
tree2 = next() % ntree;
break;
case 1:
tree1 = next() % ntree;
tree2 = -1;
break;
case 2:
tree1 = next() % ntree;
tree2 = tree1;
break;
case 3:
if (!edges.empty()) {
const auto& previous = edges[next() % edges.size()];
tree1 = previous[0];
tree2 = previous[1];
break;
}
[[fallthrough]];
case 4:
if (!edges.empty()) {
const auto& previous = edges[next() % edges.size()];
tree1 = previous[1];
tree2 = previous[0];
break;
}
[[fallthrough]];
default:
tree1 = next() % ntree;
tree2 = next() % ntree;
break;
}
edges.push_back({tree1, tree2});
}
std::vector<int> parent(ntree);
_mjPRIVATE_dsuInit(parent.data(), ntree);
for (const auto& edge : edges) {
_mjPRIVATE_dsuUnion(parent.data(), edge[0], edge[1]);
}
std::vector<int> active(ntree);
std::vector<std::vector<int>> adjacent(ntree);
for (const auto& edge : edges) {
if (edge[0] >= 0) active[edge[0]] = 1;
if (edge[1] >= 0) active[edge[1]] = 1;
if (edge[0] >= 0 && edge[1] >= 0) {
adjacent[edge[0]].push_back(edge[1]);
adjacent[edge[1]].push_back(edge[0]);
}
}
std::vector<int> expected_island(ntree, -1);
std::vector<int> expected_parent(ntree, -1);
int expected_nisland = 0;
for (int start = 0; start < ntree; ++start) {
if (!active[start] || expected_island[start] != -1) continue;
std::vector<int> pending = {start};
std::vector<int> component;
expected_island[start] = expected_nisland;
while (!pending.empty()) {
const int tree = pending.back();
pending.pop_back();
component.push_back(tree);
for (int neighbor : adjacent[tree]) {
if (expected_island[neighbor] == -1) {
expected_island[neighbor] = expected_nisland;
pending.push_back(neighbor);
}
}
}
for (int tree : component) expected_parent[tree] = start;
++expected_nisland;
}
std::vector<int> tree_dofnum(ntree);
int expected_nidof = 0;
for (int tree = 0; tree < ntree; ++tree) {
tree_dofnum[tree] = next() % 8;
if (active[tree]) expected_nidof += tree_dofnum[tree];
}
std::vector<int> island(ntree, -2);
int nidof = -1;
const int nisland = _mjPRIVATE_dsuAssign(
island.data(), parent.data(), tree_dofnum.data(), ntree, &nidof);
SCOPED_TRACE(::testing::Message() << "seed=" << kSeed << " trial=" << trial
<< " ntree=" << ntree << " nedge=" << nedge);
EXPECT_EQ(nisland, expected_nisland);
EXPECT_EQ(nidof, expected_nidof);
EXPECT_EQ(island, expected_island);
EXPECT_EQ(parent, expected_parent);
}
}
TEST_F(IslandTest, FloodFillSingleton) {
// adjacency matrix for the graph 0 1 2
// U U
// (3 singletons, 0 and 2 have self-edges)
mjtNum mat[9] = {1, 0, 0, 0, 0, 0, 0, 0, 1};
constexpr int nr = 3;
constexpr int nnz = 2;
int rownnz[nr];
int rowadr[nr];
int colind[nnz];
mjtNum res[nnz]; // unused
mju_dense2sparse(res, mat, nr, nr, rownnz, rowadr, colind, nnz);
// outputs / scratch
int island[nr];
int scratch[2 * nr];
// flood fill
int nisland = mj_floodFill(island, nr, rownnz, rowadr, colind, scratch);
EXPECT_EQ(nisland, 2);
EXPECT_THAT(island, ElementsAre(0, -1, 1));
}
TEST_F(IslandTest, FloodFill1) {
// adjacency matrix for the graph 0 - 1 - 2
mjtNum mat[9] = {0, 1, 0, 1, 0, 1, 0, 1, 0};
constexpr int nr = 3;
constexpr int nnz = 4;
int rownnz[nr];
int rowadr[nr];
int colind[nnz];
mjtNum res[nnz]; // unused
mju_dense2sparse(res, mat, nr, nr, rownnz, rowadr, colind, nnz);
// outputs / stack
int island[nr];
int stack[nnz];
int nisland = mj_floodFill(island, nr, rownnz, rowadr, colind, stack);
EXPECT_EQ(nisland, 1);
EXPECT_THAT(island, ElementsAre(0, 0, 0));
}
TEST_F(IslandTest, FloodFill2) {
// adjacency matrix for the graph 6 1 4 0 3 5 2
mjtNum mat[49] = {
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0,
0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
};
constexpr int nr = 7;
constexpr int nnz = 10;
int rownnz[nr];
int rowadr[nr];
int colind[nnz];
mjtNum res[nnz]; // unused
mju_dense2sparse(res, mat, nr, nr, rownnz, rowadr, colind, nnz);
// outputs / stack
int island[nr];
int stack[nnz];
int nisland = mj_floodFill(island, nr, rownnz, rowadr, colind, stack);
EXPECT_EQ(nisland, 2);
EXPECT_THAT(island, ElementsAre(0, 1, 0, 0, 1, 0, 1));
}
TEST_F(IslandTest, FloodFill3a) {
// adjacency matrix for the graph 0 2 1 3
// U
mjtNum mat[16] = {
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0,
};
constexpr int nr = 4;
constexpr int nnz = 3;
int rownnz[nr];
int rowadr[nr];
int colind[nnz];
mjtNum res[nnz]; // unused
mju_dense2sparse(res, mat, nr, nr, rownnz, rowadr, colind, nnz);
// outputs / stack
int island[nr];
int stack[nnz];
int nisland = mj_floodFill(island, nr, rownnz, rowadr, colind, stack);
EXPECT_EQ(nisland, 2);
EXPECT_THAT(island, ElementsAre(-1, 0, 1, 0));
}
TEST_F(IslandTest, FloodFill3b) {
/*
adjacency matrix for the graph 1 2 3 4 5
U | \ |
0 6
*/
mjtNum mat[49] = {
0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0,
};
constexpr int nr = 7;
constexpr int nnz = 13;
int rownnz[nr];
int rowadr[nr];
int colind[nnz];
mjtNum res[nnz]; // unused
mju_dense2sparse(res, mat, nr, nr, rownnz, rowadr, colind, nnz);
// outputs / stack
int island[nr];
int stack[nnz];
int nisland = mj_floodFill(island, nr, rownnz, rowadr, colind, stack);
EXPECT_EQ(nisland, 2);
EXPECT_THAT(island, ElementsAre(0, 1, 1, -1, 0, 0, 0));
}
TEST_F(IslandTest, ProductionStaticFirstAndRepeatedRows) {
static constexpr char xml[] = R"(
<mujoco>
<option jacobian="sparse"><flag contact="disable" gravity="disable"/></option>
<worldbody>
<site name="world"/>
<body name="b0">
<inertial pos="0 0 0" mass="1" diaginertia="1 1 1"/>
<joint type="slide"/><site name="s0"/>
</body>
<body name="b1">
<inertial pos="0 0 0" mass="1" diaginertia="1 1 1"/>
<joint type="slide"/><site name="s1"/>
</body>
<body name="b2">
<inertial pos="0 0 0" mass="1" diaginertia="1 1 1"/>
<joint type="slide"/><site name="s2"/>
</body>
</worldbody>
<equality>
<connect site1="world" site2="s0"/>
<connect site1="s1" site2="s2"/>
</equality>
</mujoco>
)";
char error[1024] = {};
MjModelPtr model = LoadModelFromString(xml, error, sizeof(error));
ASSERT_THAT(model.get(), NotNull()) << error;
ASSERT_EQ(model->ntree, 3);
ASSERT_EQ(model->nv, 3);
// The first equality incidence is static first, then dynamic tree 0.
ASSERT_EQ(model->eq_objtype[0], mjOBJ_SITE);
int body1 = model->site_bodyid[model->eq_obj1id[0]];
int body2 = model->site_bodyid[model->eq_obj2id[0]];
EXPECT_EQ(model->body_treeid[body1], -1);
EXPECT_EQ(model->body_treeid[body2], 0);
MjDataPtr data = MakeData(model);
mj_fwdPosition(model.get(), data.get());
ASSERT_EQ(data->nefc, 6);
EXPECT_EQ(data->nisland, 2);
EXPECT_EQ(data->nidof, 3);
EXPECT_EQ(data->ne, 6);
EXPECT_EQ(data->nf, 0);
EXPECT_THAT(AsVector(data->efc_type, data->nefc),
ElementsAre(mjCNSTR_EQUALITY, mjCNSTR_EQUALITY, mjCNSTR_EQUALITY,
mjCNSTR_EQUALITY, mjCNSTR_EQUALITY, mjCNSTR_EQUALITY));
EXPECT_THAT(AsVector(data->efc_id, data->nefc), ElementsAre(0, 0, 0, 1, 1, 1));
EXPECT_THAT(AsVector(data->tree_island, model->ntree), ElementsAre(0, 1, 1));
EXPECT_THAT(AsVector(data->island_ntree, data->nisland), ElementsAre(1, 2));
EXPECT_THAT(AsVector(data->island_itreeadr, data->nisland), ElementsAre(0, 1));
EXPECT_THAT(AsVector(data->map_itree2tree, model->ntree), ElementsAre(0, 1, 2));
EXPECT_THAT(AsVector(data->dof_island, model->nv), ElementsAre(0, 1, 1));
EXPECT_THAT(AsVector(data->island_nv, data->nisland), ElementsAre(1, 2));
EXPECT_THAT(AsVector(data->island_idofadr, data->nisland), ElementsAre(0, 1));
EXPECT_THAT(AsVector(data->island_dofadr, data->nisland), ElementsAre(0, 1));
EXPECT_THAT(AsVector(data->map_dof2idof, model->nv), ElementsAre(0, 1, 2));
EXPECT_THAT(AsVector(data->map_idof2dof, model->nv), ElementsAre(0, 1, 2));
EXPECT_THAT(AsVector(data->efc_island, data->nefc), ElementsAre(0, 0, 0, 1, 1, 1));
EXPECT_THAT(AsVector(data->island_ne, data->nisland), ElementsAre(3, 3));
EXPECT_THAT(AsVector(data->island_nf, data->nisland), ElementsAre(0, 0));
EXPECT_THAT(AsVector(data->island_nefc, data->nisland), ElementsAre(3, 3));
EXPECT_THAT(AsVector(data->island_iefcadr, data->nisland), ElementsAre(0, 3));
EXPECT_THAT(AsVector(data->map_efc2iefc, data->nefc), ElementsAre(0, 1, 2, 3, 4, 5));
EXPECT_THAT(AsVector(data->map_iefc2efc, data->nefc), ElementsAre(0, 1, 2, 3, 4, 5));
}
TEST_F(IslandTest, ProductionFlexEqualityRescansRows) {
static constexpr char xml[] = R"(
<mujoco>
<option jacobian="sparse"><flag contact="disable" gravity="disable"/></option>
<worldbody>
<flexcomp name="f" type="grid" dim="1" count="3 1 1"
spacing=".05 .05 .05" radius=".01" mass="1">
<edge equality="true"/>
<contact internal="false" selfcollide="none"/>
</flexcomp>
</worldbody>
</mujoco>
)";
char error[1024] = {};
MjModelPtr model = LoadModelFromString(xml, error, sizeof(error));
ASSERT_THAT(model.get(), NotNull()) << error;
ASSERT_EQ(model->ntree, 3);
ASSERT_EQ(model->nv, 9);
ASSERT_EQ(model->neq, 1);
ASSERT_EQ(model->eq_type[0], mjEQ_FLEX);
ASSERT_TRUE(mj_isSparse(model.get()));
MjDataPtr data = MakeData(model);
mj_fwdPosition(model.get(), data.get());
ASSERT_EQ(data->nefc, 2);
auto row_trees = [&](int row) {
std::vector<int> trees;
for (int j=0; j < data->efc_J_rownnz[row]; j++) {
int dof = data->efc_J_colind[data->efc_J_rowadr[row] + j];
int tree = model->dof_treeid[dof];
if (trees.empty() || trees.back() != tree) {
trees.push_back(tree);
}
}
return trees;
};
// Rows share one flex equality id but have different tree incidence.
EXPECT_THAT(row_trees(0), ElementsAre(0, 1));
EXPECT_THAT(row_trees(1), ElementsAre(1, 2));
EXPECT_THAT(AsVector(data->efc_type, data->nefc),
ElementsAre(mjCNSTR_EQUALITY, mjCNSTR_EQUALITY));
EXPECT_THAT(AsVector(data->efc_id, data->nefc), ElementsAre(0, 0));
EXPECT_EQ(data->nisland, 1);
EXPECT_EQ(data->nidof, 9);
EXPECT_EQ(data->ne, 2);
EXPECT_EQ(data->nf, 0);
EXPECT_THAT(AsVector(data->tree_island, model->ntree), ElementsAre(0, 0, 0));
EXPECT_THAT(AsVector(data->island_ntree, data->nisland), ElementsAre(3));
EXPECT_THAT(AsVector(data->island_itreeadr, data->nisland), ElementsAre(0));
EXPECT_THAT(AsVector(data->map_itree2tree, model->ntree), ElementsAre(0, 1, 2));
EXPECT_THAT(AsVector(data->dof_island, model->nv),
ElementsAre(0, 0, 0, 0, 0, 0, 0, 0, 0));
EXPECT_THAT(AsVector(data->island_nv, data->nisland), ElementsAre(9));
EXPECT_THAT(AsVector(data->island_idofadr, data->nisland), ElementsAre(0));
EXPECT_THAT(AsVector(data->island_dofadr, data->nisland), ElementsAre(0));
EXPECT_THAT(AsVector(data->map_dof2idof, model->nv),
ElementsAre(0, 1, 2, 3, 4, 5, 6, 7, 8));
EXPECT_THAT(AsVector(data->map_idof2dof, model->nv),
ElementsAre(0, 1, 2, 3, 4, 5, 6, 7, 8));
EXPECT_THAT(AsVector(data->efc_island, data->nefc), ElementsAre(0, 0));
EXPECT_THAT(AsVector(data->island_ne, data->nisland), ElementsAre(2));
EXPECT_THAT(AsVector(data->island_nf, data->nisland), ElementsAre(0));
EXPECT_THAT(AsVector(data->island_nefc, data->nisland), ElementsAre(2));
EXPECT_THAT(AsVector(data->island_iefcadr, data->nisland), ElementsAre(0));
EXPECT_THAT(AsVector(data->map_efc2iefc, data->nefc), ElementsAre(0, 1));
EXPECT_THAT(AsVector(data->map_iefc2efc, data->nefc), ElementsAre(0, 1));
}
TEST_F(IslandTest, BoundedArenaSupports1024Trees) {
constexpr int kTreeCount = 1024;
constexpr size_t kArenaBytes = 2 * 1024 * 1024;
std::string xml = R"(
<mujoco>
<size memory="2M"/>
<option jacobian="sparse">
<flag contact="disable"/>
</option>
<worldbody>
)";
xml.reserve(160 * kTreeCount);
for (int i=0; i < kTreeCount; i++) {
std::string name = std::to_string(i);
xml += "<body name=\"b" + name + "\">";
xml += "<inertial pos=\"0 0 0\" mass=\"1\" diaginertia=\"1 1 1\"/>";
xml += "<joint name=\"j" + name + "\" type=\"slide\"/>";
if (i < 2) {
xml += "<site name=\"s" + name + "\"/>";
}
xml += "</body>";
}
xml += R"(
</worldbody>
<equality>
<connect site1="s0" site2="s1"/>
</equality>
</mujoco>
)";
char error[1024] = {};
MjModelPtr model = LoadModelFromString(xml, error, sizeof(error));
ASSERT_THAT(model.get(), NotNull()) << error;
ASSERT_EQ(model->ntree, kTreeCount);
ASSERT_EQ(model->narena, kArenaBytes);
MjDataPtr data = MakeData(model);
ASSERT_THAT(data.get(), NotNull());
mj_fwdPosition(model.get(), data.get());
ASSERT_EQ(data->nefc, 3);
ASSERT_EQ(data->nisland, 1);
ASSERT_THAT(data->tree_island, NotNull());
EXPECT_EQ(data->tree_island[0], 0);
EXPECT_EQ(data->tree_island[1], 0);
for (int tree=2; tree < kTreeCount; tree++) {
EXPECT_EQ(data->tree_island[tree], -1);
}
EXPECT_LE(data->maxuse_arena, kArenaBytes);
}
static const char* const kAbacusPath = "engine/testdata/island/abacus.xml";
TEST_F(IslandTest, Abacus) {
const std::string xml_path = GetTestDataFilePath(kAbacusPath);
char error[1024];
mjModel* model = mj_loadXML(xml_path.c_str(), nullptr, error, sizeof(error));
ASSERT_THAT(model, NotNull()) << error;
// disable gravity
model->opt.disableflags |= mjDSBL_GRAVITY;
mjData* data = mj_makeData(model);
mj_forward(model, data);
// no islands at qpos0
EXPECT_EQ(data->nisland, 0);
// push bead 0 to the left and bead 2 to the right until there are 3 contacts
data->qfrc_applied[0] = -1;
data->qfrc_applied[2] = 1;
while (data->ncon != 3) {
mj_step(model, data);
}
// sizes
int nv = model->nv;
int nefc = data->nefc;
int nisland = data->nisland;
int nidof = data->nidof;
// 4 dofs, 12 constraints, 2 islands
EXPECT_EQ(nv, 4);
EXPECT_EQ(nidof, 3);
EXPECT_EQ(nefc, 12); // 3 pyramidal contacts
EXPECT_EQ(nisland, 2);
// the islands begin at dofs 0 and 1
EXPECT_THAT(AsVector(data->island_idofadr, nisland), ElementsAre(0, 1));
// number of dofs in the 2 islands
EXPECT_THAT(AsVector(data->island_nv, nisland), ElementsAre(1, 2));
// dof 0 in island 0
// dof 1 in no island
// dofs 2,3 in island 1
EXPECT_THAT(AsVector(data->dof_island, nv), ElementsAre(0, -1, 1, 1));
// dof 0 constitutes first island
// dofs 2, 3 are the second island
// last index is unassigned since dof 1 is unconstrained
EXPECT_THAT(AsVector(data->map_idof2dof, nv), ElementsAre(0, 2, 3, 1));
// dof 0 constitutes first island
// dofs 1 is unassigned
// dofs 2, 3 are second island
EXPECT_THAT(AsVector(data->map_dof2idof, nv), ElementsAre(0, 3, 1, 2));
// island 0 starts at constraint 0
// island 1 starts at constraint 4
EXPECT_THAT(AsVector(data->island_iefcadr, nisland), ElementsAre(0, 4));
// number of constraints in the 2 islands
EXPECT_THAT(AsVector(data->island_nefc, nisland), ElementsAre(4, 8));
// first contact (4 constraints) is in island 0
// second contact (8 constraints) is in island 1
EXPECT_THAT(AsVector(data->efc_island, nefc),
ElementsAre(0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1));
// index lists for islands 0 and 1
EXPECT_THAT(AsVector(data->map_iefc2efc, nefc),
ElementsAre(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11));
// reset, push 0 to the left, 3 to the right, 1,2 to the middle
mj_resetData(model, data);
data->qfrc_applied[0] = -1;
data->qfrc_applied[1] = 1;
data->qfrc_applied[2] = -1;
data->qfrc_applied[3] = 1;
// simulate until there are 3 contacts
while (data->ncon != 3) {
mj_step(model, data);
}
// local variables
nefc = data->nefc;
nisland = data->nisland;
nidof = data->nidof;
EXPECT_EQ(nisland, 3);
EXPECT_EQ(nidof, 4);
EXPECT_THAT(AsVector(data->island_idofadr, nisland), ElementsAre(0, 1, 3));
EXPECT_THAT(AsVector(data->island_nv, nisland), ElementsAre(1, 2, 1));
EXPECT_THAT(AsVector(data->dof_island, nv), ElementsAre(0, 1, 1, 2));
EXPECT_THAT(AsVector(data->map_idof2dof, nv), ElementsAre(0, 1, 2, 3));
EXPECT_THAT(AsVector(data->map_dof2idof, nv), ElementsAre(0, 1, 2, 3));
EXPECT_THAT(AsVector(data->island_iefcadr, nisland), ElementsAre(0, 4, 8));
EXPECT_THAT(AsVector(data->island_nefc, nisland), ElementsAre(4, 4, 4));
EXPECT_THAT(AsVector(data->efc_island, nefc),
ElementsAre(0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2));
EXPECT_THAT(AsVector(data->map_iefc2efc, nefc),
ElementsAre(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11));
mj_deleteData(data);
mj_deleteModel(model);
}
static const char* const kTendonWrapPath =
"engine/testdata/island/tendon_wrap.xml";
TEST_F(IslandTest, DenseSparse) {
const std::string xml_path = GetTestDataFilePath(kTendonWrapPath);
char error[1024];
mjModel* model = mj_loadXML(xml_path.c_str(), nullptr, error, sizeof(error));
ASSERT_THAT(model, NotNull()) << error;
mjData* data1 = mj_makeData(model);
mjData* data2 = mj_makeData(model);
// dense
model->opt.jacobian = mjJAC_DENSE;
while (!data1->nefc) {
mj_step(model, data1);
}
// sparse
model->opt.jacobian = mjJAC_SPARSE;
while (!data2->nefc) {
mj_step(model, data2);
}
// sizes
int nv = model->nv;
int nefc = data1->nefc;
int nisland = data1->nisland;
// expect sparse and dense to be identical
EXPECT_EQ(data1->nidof, data2->nidof);
EXPECT_EQ(data1->nefc, data2->nefc);
EXPECT_EQ(data1->nisland, data2->nisland);
EXPECT_EQ(data1->nefc, data2->nefc);
EXPECT_EQ(AsVector(data1->island_idofadr, nisland),
AsVector(data2->island_idofadr, nisland));
EXPECT_EQ(AsVector(data1->island_nv, nisland),
AsVector(data2->island_nv, nisland));
EXPECT_EQ(AsVector(data1->dof_island, nv), AsVector(data2->dof_island, nv));
EXPECT_EQ(AsVector(data1->map_idof2dof, nv),
AsVector(data2->map_idof2dof, nv));
EXPECT_EQ(AsVector(data1->map_dof2idof, nv),
AsVector(data2->map_dof2idof, nv));
EXPECT_EQ(AsVector(data1->island_iefcadr, nisland),
AsVector(data2->island_iefcadr, nisland));
EXPECT_EQ(AsVector(data1->island_nefc, nisland),
AsVector(data2->island_nefc, nisland));
EXPECT_EQ(AsVector(data1->efc_island, nefc),
AsVector(data2->efc_island, nefc));
EXPECT_EQ(AsVector(data1->map_iefc2efc, nefc),
AsVector(data2->map_iefc2efc, nefc));
EXPECT_EQ(AsVector(data1->map_efc2iefc, nefc),
AsVector(data2->map_efc2iefc, nefc));
mj_deleteData(data2);
mj_deleteData(data1);
mj_deleteModel(model);
}
static const char* const kIlslandEfcPath =
"engine/testdata/island/island_efc.xml";
TEST_F(IslandTest, IslandEfc) {
const std::string xml_path = GetTestDataFilePath(kIlslandEfcPath);
char error[1024];
mjModel* model = mj_loadXML(xml_path.c_str(), nullptr, error, sizeof(error));
ASSERT_THAT(model, NotNull()) << error;
mjData* data = mj_makeData(model);
while (data->time < 0.2) {
mj_step(model, data);
}
// expect island structure to correspond to comment at top of xml
EXPECT_EQ(data->nisland, 4);
EXPECT_EQ(data->ne, 7);
EXPECT_EQ(data->nf, 2);
EXPECT_EQ(data->nl, 1);
EXPECT_EQ(data->nefc, 30);
EXPECT_THAT(AsVector(data->island_ne, data->nisland), ElementsAre(1, 0, 0, 6));
EXPECT_THAT(AsVector(data->island_nf, data->nisland), ElementsAre(0, 1, 1, 0));
EXPECT_THAT(AsVector(data->island_nefc, data->nisland), ElementsAre(6, 17, 1, 6));
EXPECT_THAT(AsVector(data->efc_island, data->nefc),
ElementsAre(0, 3, 3, 3, 3, 3, 3, 1, 2, 0,
0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1));
mj_deleteData(data);
mj_deleteModel(model);
}
TEST_F(IslandTest, IslandFlex) {
const std::string xml_path = GetTestDataFilePath("testdata/flex.xml");
char error[1024];
mjModel* model = mj_loadXML(xml_path.c_str(), nullptr, error, sizeof(error));
ASSERT_THAT(model, NotNull()) << error;
mjData* data1 = mj_makeData(model);
mjData* data2 = mj_makeData(model);
model->opt.disableflags &= ~mjDSBL_ISLAND;
while (data1->time < 0.2) {
mj_step(model, data1);
}
model->opt.disableflags |= mjDSBL_ISLAND;
while (data2->time < 0.2) {
mj_step(model, data2);
}
EXPECT_THAT(AsVector(data1->qpos, model->nq),
Pointwise(DoubleNear(1e-6), AsVector(data2->qpos, model->nq)));
mj_deleteData(data2);
mj_deleteData(data1);
mj_deleteModel(model);
}
// stiffness couples all vertices of a flex: one contact anywhere on the flex
// must pull every vertex tree (and the contacting body) into a single island
TEST_F(IslandTest, FlexStiffnessUnionsTrees) {
static const char xml[] = R"(
<mujoco>
<option solver="Newton"/>
<worldbody>
<flexcomp name="cloth" type="grid" count="4 4 1" spacing="0.1 0.1 0.1"
radius=".005" dim="2" mass="0.5" pos="0 0 1" dof="full">
<contact selfcollide="none"/>
<elasticity young="1e3" poisson="0.2" damping="0.1" elastic2d="both" thickness="0.01"/>
</flexcomp>
<body pos="0.1 0.1 0.96">
<freejoint/>
<geom type="sphere" size="0.05"/>
</body>
</worldbody>
</mujoco>
)";
char error[1024];
MjModelPtr model = LoadModelFromString(xml, error, sizeof(error));
ASSERT_THAT(model.get(), NotNull()) << error;
MjDataPtr data = MakeData(model);
mj_forward(model.get(), data.get());
// the sphere penetrates the cloth at one corner
ASSERT_GT(data->ncon, 0);
// one island containing every dof: 16 vertices and the free sphere
EXPECT_EQ(data->nisland, 1);
EXPECT_EQ(data->nidof, model->nv);
}
TEST_F(IslandTest, IslandEfcElliptic) {
const std::string xml_path = GetTestDataFilePath(kIlslandEfcPath);
char error[1024];
mjModel* model = mj_loadXML(xml_path.c_str(), nullptr, error, sizeof(error));
ASSERT_THAT(model, NotNull()) << error;
mjData* data = mj_makeData(model);
model->opt.cone = mjCONE_ELLIPTIC;
while (data->time < 0.2) {
mj_step(model, data);
}
mj_forward(model, data);
EXPECT_EQ(data->nisland, 4);
EXPECT_EQ(data->ne, 7);
EXPECT_EQ(data->nf, 2);
EXPECT_EQ(data->nl, 1);
EXPECT_EQ(data->nefc, 25);
mj_deleteData(data);
mj_deleteModel(model);
}
TEST_F(IslandTest, EqualityConstraintOfTendons) {
static const char xml[] = R"(
<mujoco>
<worldbody>
<body name="b1">
<inertial pos="0 0 0" mass="1" diaginertia="1 1 1"/>
<joint name="j1" type="slide" axis="1 0 0"/>
</body>
<body name="b2">
<inertial pos="0 0 0" mass="1" diaginertia="1 1 1"/>
<joint name="j2" type="slide" axis="1 0 0"/>
</body>
<body name="b3">
<inertial pos="0 0 0" mass="1" diaginertia="1 1 1"/>
<joint name="j3" type="slide" axis="1 0 0"/>
</body>
<body name="b4">
<inertial pos="0 0 0" mass="1" diaginertia="1 1 1"/>
<joint name="j4" type="slide" axis="1 0 0"/>
</body>
</worldbody>
<tendon>
<fixed name="t12">
<joint joint="j1" coef="1"/>
<joint joint="j2" coef="1"/>
</fixed>
<fixed name="t34">
<joint joint="j3" coef="1"/>
<joint joint="j4" coef="1"/>
</fixed>
</tendon>
<equality>
<tendon name="eq" tendon1="t12" tendon2="t34"/>
</equality>
</mujoco>
)";
char error[1024];
MjModelPtr model = LoadModelFromString(xml, error, sizeof(error));
ASSERT_THAT(model.get(), NotNull()) << error;
MjDataPtr data = MakeData(model);
mj_forward(model.get(), data.get());
}
TEST_F(IslandTest, PGSIsland) {
const std::string xml_path = GetTestDataFilePath(kIlslandEfcPath);
char error[1024];
mjModel* m = mj_loadXML(xml_path.c_str(), nullptr, error, sizeof(error));
ASSERT_THAT(m, NotNull()) << error;
mjData* d = mj_makeData(m);
// simulate to get a non-trivial state
while (d->time < 0.5) {
mj_step(m, d);
}
// switch to PGS, disable early termination
m->opt.solver = mjSOL_PGS;
m->opt.tolerance = 0;
// solve with islands
m->opt.disableflags &= ~mjDSBL_ISLAND;
mj_forward(m, d);
ASSERT_GT(d->nisland, 1);
std::vector<mjtNum> qfrc_island(d->qfrc_constraint,
d->qfrc_constraint + m->nv);
// solve without islands
m->opt.disableflags |= mjDSBL_ISLAND;
mj_forward(m, d);
std::vector<mjtNum> qfrc_mono(d->qfrc_constraint, d->qfrc_constraint + m->nv);
// expect close match (inexact due to randomized constraint visitation order)
EXPECT_THAT(qfrc_island, Pointwise(MjNear(1e-3, 1e-3), qfrc_mono));
mj_deleteData(d);
mj_deleteModel(m);
}
} // namespace
} // namespace mujoco