Files
paradigms/clojure/cljtest/linear/LinearTester.java
2026-04-13 20:12:01 +03:00

232 lines
8.9 KiB
Java

package cljtest.linear;
import base.Tester;
import base.TestCounter;
import cljtest.ClojureScript;
import clojure.lang.IPersistentVector;
import common.Engine;
import java.util.Arrays;
import java.util.List;
import java.util.function.Function;
import java.util.function.IntFunction;
import java.util.function.Supplier;
import java.util.stream.IntStream;
import java.util.stream.Stream;
/**
* Tester for
* <a href="https://www.kgeorgiy.info/courses/paradigms/homeworks.html#clojure-linear">Linear Clojure</a>
* homework of <a href="https://www.kgeorgiy.info/courses/paradigms">Programming Paradigms</a> course.
*
* @author Georgiy Korneev (kgeorgiy@kgeorgiy.info)
*/
public class LinearTester extends Tester {
public static final ClojureScript.F<IPersistentVector> VECTOR_C = ClojureScript.function("clojure.core/vector", IPersistentVector.class);
private static final List<Item.Fun> VECTOR = Item.functions("v");
private static final List<Item.Fun> MATRIX = Item.functions("m");
static {
ClojureScript.loadScript("linear.clj");
}
public static final Item.Fun SCALAR = new Item.Fun("scalar", args -> Item.value(
IntStream.range(0, args.get(0).size())
.mapToDouble(i -> product(args.stream().map(arg -> arg.get(i))))
.sum()
));
public static final Item.Fun V_BY_S = new Item.Fun("v*s", args -> {
final double q = product(args.stream().skip(1));
return args.get(0).map(v -> v.mapValue(a -> a * q));
});
public static final Item.Fun M_BY_S = new Item.Fun("m*s", args -> {
final double q = product(args.stream().skip(1));
return args.get(0).map(row -> row.map(v -> v.mapValue(a -> a * q)));
});
public static final Item.Fun M_BY_V = new Item.Fun("m*v", args -> {
final Item matrix = args.get(0);
final Item vector = args.get(1);
final double[] result = new double[matrix.size()];
for (int i = 0; i < matrix.size(); i++) {
for (int j = 0; j < vector.size(); j++) {
result[i] += matrix.get(i).get(j).value() * vector.get(j).value();
}
}
return Item.vector(Arrays.stream(result).mapToObj(Item::value));
});
public static final Item.Fun M_BY_M = new Item.Fun("m*m", args -> {
Item a = args.get(0);
for (final Item b : args.subList(1, args.size())) {
final double[][] result = new double[a.size()][b.get(0).size()];
for (int i = 0; i < result.length; i++) {
for (int j = 0; j < result[i].length; j++) {
for (int k = 0; k < b.size(); k++) {
result[i][j] += a.get(i).get(k).value() * b.get(k).get(j).value();
}
}
}
a = Item.vector(Arrays.stream(result).map(row -> Item.vector(Arrays.stream(row).mapToObj(Item::value))));
}
return a;
});
public static final Item.Fun VECT = new Item.Fun("vect", args -> {
double[] a = IntStream.range(0, 3).mapToDouble(i -> args.get(0).get(i).value()).toArray();
for (final Item bb : args.subList(1, args.size())) {
double[] b = IntStream.range(0, 3).mapToDouble(i -> bb.get(i).value()).toArray();
a = new double[]{a[1] * b[2] - a[2] * b[1], a[2] * b[0] - a[0] * b[2], a[0] * b[1] - a[1] * b[0]};
}
return Item.vector(Arrays.stream(a).mapToObj(Item::value));
});
public static final Item.Fun TRANSPOSE = new Item.Fun("transpose", args -> {
final Item matrix = args.get(0);
return Item.vector(IntStream.range(0, matrix.get(0).size()).mapToObj(i -> matrix.map(row -> row.get(i))));
});
private static double product(final Stream<Item> items) {
return items.mapToDouble(Item::value).reduce(1, (a, b) -> a * b);
}
public LinearTester(final TestCounter counter) {
super(counter);
}
protected static Engine.Result<IPersistentVector> vector(final Number... xs) {
return wrap(LinearTester::number, xs);
}
protected static Engine.Result<IPersistentVector> matrix(final Number[]... m) {
return wrap(LinearTester::vector, m);
}
protected static <I, T> Engine.Result<IPersistentVector> wrap(final Function<I, Engine.Result<T>> wrapper, final I[] m) {
return vector(Arrays.stream(m).map(wrapper).toArray(Engine.Result[]::new));
}
protected static Engine.Result<Number> number(final Number x) {
return new Engine.Result<>(x.toString(), x);
}
protected static Engine.Result<IPersistentVector> vector(final Engine.Result<?>... xs) {
return VECTOR_C.call(xs);
}
protected static Number[] row(final Number... numbers) {
return numbers;
}
@Override
public void test() {
runTest(2);
if (isHard()) {
runTest(1);
for (int i = 3; i <= 5; i++) {
runTest(i);
}
expectException(VECTOR, new int[]{3}, new int[][]{{}, {3, 3}});
expectException(MATRIX, new int[]{3, 3}, new int[][]{{}, {3}, {3, 3, 3}});
expectException(List.of(VECT, SCALAR), new int[]{3}, new int[][]{{}, {3, 3}});
final Engine.Result<IPersistentVector> v123 = vector(1L, 2L, 3L);
final Engine.Result<IPersistentVector> v12 = vector(1.1, 2.1);
final Engine.Result<IPersistentVector> m123_456 = matrix(row(1.1, 2.1, 3.1), row(4.1, 5.1, 6.1));
M_BY_S.expectException(counter, m123_456, v123);
M_BY_V.expectException(counter, m123_456, v12);
M_BY_M.expectException(counter, m123_456, v123);
}
}
private void runTest(final int args) {
counter.scope(args + " arg(s)", () -> test(args));
}
protected boolean isHard() {
return counter.mode() > 0;
}
protected void expectException(final List<Item.Fun> funs, final int[] okDims, final int[][] failDims) {
final Supplier<Item> ok = Item.generator(okDims);
Stream.concat(Arrays.stream(failDims), corrupted(okDims)).map(Item::generator).forEach(fail -> {
expectException(funs, ok, fail);
expectException(funs, fail, ok);
});
}
private static Stream<int[]> corrupted(final int... dims) {
return IntStream.range(0, dims.length)
.boxed()
.flatMap(i -> Stream.of(corruptIndex(i, -1, dims), corruptIndex(i, +1, dims)));
}
private static int[] corruptIndex(final int i, final int delta, final int[] dims) {
final int[] nd = dims.clone();
nd[i] += delta;
return nd;
}
@SafeVarargs
protected final void expectException(final List<Item.Fun> funs, final Supplier<Item>... generators) {
for (final Item.Fun fun : funs) {
final Stream<Item> args = Arrays.stream(generators).map(Supplier::get);
fun.expectException(counter, args);
}
}
protected void test(final int args) {
for (int dim = 0; dim <= 10 / TestCounter.DENOMINATOR2; dim++) {
final Supplier<Item> generator = Item.generator(dim);
test(args, VECTOR, generator);
V_BY_S.test(counter, andScalars(args, generator));
SCALAR.test(args, generator.get(), counter, random());
}
for (int complexity = 1; complexity <= 20 / TestCounter.DENOMINATOR2; complexity++) {
for (int dim1 = 1; dim1 <= complexity; dim1++) {
final int dim2 = complexity - dim1;
if (dim2 > 0 || isHard()) {
final Supplier<Item> generator = Item.generator(dim1, dim2);
test(args, MATRIX, generator);
M_BY_S.test(counter, andScalars(args, generator));
M_BY_V.test(counter, Stream.of(generator.get().refill(random()), Item.generator(dim2).get().refill(
random())));
TRANSPOSE.test(counter, Stream.of(generator.get().refill(random())));
}
}
final int complex = complexity;
final int[] dims = IntStream.generate(() -> 1 + random().nextInt(complex)).limit(args + 1).toArray();
M_BY_M.test(counter, IntStream.range(0, args).mapToObj(i -> Item.generator(dims[i], dims[i + 1]).get().refill(
random())));
}
VECT.test(args, Item.generator(3).get(), counter, random());
}
private Stream<Item> andScalars(final int args, final Supplier<Item> generator) {
return Stream.concat(Stream.of(generator.get().refill(random())), Item.args(args - 1, Item.ZERO, random()));
}
protected void test(final int args, final List<Item.Fun> funs, final IntFunction<List<Item>> generator) {
for (final Item.Fun fun : funs) {
fun.test(args, generator, counter, random());
}
}
protected void test(final int args, final List<Item.Fun> funs, final Supplier<Item> generator) {
test(args, funs, Item.same(generator));
}
}