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AK: Cover TestComplex with more tests
Related: - video detailing the process of writing these tests: https://www.youtube.com/watch?v=enxglLlALvI - PR fixing bugs the above effort found: https://github.com/SerenityOS/serenity/pull/22025
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Notes:
sideshowbarker
2024-07-17 02:28:18 +09:00
Author: https://github.com/Janiczek Commit: https://github.com/SerenityOS/serenity/commit/5a8781393a Pull-request: https://github.com/SerenityOS/serenity/pull/22506 Reviewed-by: https://github.com/ADKaster ✅ Reviewed-by: https://github.com/LucasChollet Reviewed-by: https://github.com/ronak69
@ -277,6 +277,14 @@ static constexpr Complex<T> cexp(Complex<T> const& a)
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}
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}
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template<AK::Concepts::Arithmetic T>
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struct AK::Formatter<AK::Complex<T>> : Formatter<StringView> {
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ErrorOr<void> format(FormatBuilder& builder, AK::Complex<T> c)
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{
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return Formatter<StringView>::format(builder, TRY(String::formatted("{}{:+}i", c.real(), c.imag())));
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}
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};
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#if USING_AK_GLOBALLY
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using AK::approx_eq;
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using AK::cexp;
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@ -8,6 +8,33 @@
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#include <AK/Complex.h>
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using namespace Test::Randomized;
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namespace {
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Complex<f64> gen_complex()
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{
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auto r = Gen::number_f64();
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auto i = Gen::number_f64();
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return Complex<f64>(r, i);
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}
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Complex<f64> gen_complex(f64 min, f64 max)
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{
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auto r = Gen::number_f64(min, max);
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auto i = Gen::number_f64(min, max);
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return Complex<f64>(r, i);
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}
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}
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template<typename T>
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void expect_approximate_complex(Complex<T> a, Complex<T> b)
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{
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EXPECT_APPROXIMATE(a.real(), b.real());
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EXPECT_APPROXIMATE(a.imag(), b.imag());
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}
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TEST_CASE(Complex)
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{
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auto a = Complex<float> { 1.f, 1.f };
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@ -68,3 +95,167 @@ TEST_CASE(real_operators_regression)
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EXPECT_EQ(c2.imag(), -0.5);
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}
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}
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TEST_CASE(constructor_0_is_origin)
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{
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auto c = Complex<f64>();
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EXPECT_EQ(c.real(), 0L);
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EXPECT_EQ(c.imag(), 0L);
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}
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RANDOMIZED_TEST_CASE(constructor_1)
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{
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GEN(r, Gen::number_f64());
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auto c = Complex<f64>(r);
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EXPECT_EQ(c.real(), r);
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EXPECT_EQ(c.imag(), 0L);
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}
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RANDOMIZED_TEST_CASE(constructor_2)
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{
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GEN(r, Gen::number_f64());
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GEN(i, Gen::number_f64());
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auto c = Complex<f64>(r, i);
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EXPECT_EQ(c.real(), r);
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EXPECT_EQ(c.imag(), i);
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}
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RANDOMIZED_TEST_CASE(magnitude_squared)
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{
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GEN(c, gen_complex());
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auto magnitude_squared = c.magnitude_squared();
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auto magnitude = c.magnitude();
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EXPECT_APPROXIMATE(magnitude_squared, magnitude * magnitude);
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}
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RANDOMIZED_TEST_CASE(from_polar_magnitude)
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{
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// Magnitude only makes sense non-negative, but the library allows it to be negative.
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GEN(m, Gen::number_f64(-1000, 1000));
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GEN(p, Gen::number_f64(-1000, 1000));
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auto c = Complex<f64>::from_polar(m, p);
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EXPECT_APPROXIMATE(c.magnitude(), abs(m));
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}
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RANDOMIZED_TEST_CASE(from_polar_phase)
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{
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// To have a meaningful phase, magnitude needs to be >0.
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GEN(m, Gen::number_f64(1, 1000));
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GEN(p, Gen::number_f64(-1000, 1000));
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auto c = Complex<f64>::from_polar(m, p);
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// Returned phase is in the (-pi,pi] interval.
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// We need to mod from our randomly generated [-1000,1000] interval]
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// down to [0,2pi) or (-2pi,0] depending on our sign.
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// Then we can adjust and get into the -pi..pi range by adding/subtracting
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// one last 2pi.
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auto wanted_p = fmod(p, 2 * M_PI);
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if (wanted_p > M_PI)
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wanted_p -= 2 * M_PI;
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else if (wanted_p < -M_PI)
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wanted_p += 2 * M_PI;
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EXPECT_APPROXIMATE(c.phase(), wanted_p);
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}
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RANDOMIZED_TEST_CASE(imag_untouched_c_plus_r)
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{
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GEN(c1, gen_complex());
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GEN(r2, Gen::number_f64());
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auto c2 = c1 + r2;
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EXPECT_EQ(c2.imag(), c1.imag());
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}
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RANDOMIZED_TEST_CASE(imag_untouched_c_minus_r)
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{
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GEN(c1, gen_complex());
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GEN(r2, Gen::number_f64());
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auto c2 = c1 - r2;
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EXPECT_EQ(c2.imag(), c1.imag());
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}
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RANDOMIZED_TEST_CASE(assignment_same_as_binop_plus)
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{
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GEN(c1, gen_complex());
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GEN(c2, gen_complex());
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auto out1 = c1 + c2;
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auto out2 = c1;
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out2 += c2;
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EXPECT_EQ(out2, out1);
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}
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RANDOMIZED_TEST_CASE(assignment_same_as_binop_minus)
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{
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GEN(c1, gen_complex());
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GEN(c2, gen_complex());
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auto out1 = c1 - c2;
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auto out2 = c1;
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out2 -= c2;
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EXPECT_EQ(out2, out1);
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}
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RANDOMIZED_TEST_CASE(assignment_same_as_binop_mult)
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{
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GEN(c1, gen_complex(-1000, 1000));
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GEN(c2, gen_complex(-1000, 1000));
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auto out1 = c1 * c2;
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auto out2 = c1;
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out2 *= c2;
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EXPECT_EQ(out2, out1);
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}
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RANDOMIZED_TEST_CASE(assignment_same_as_binop_div)
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{
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GEN(c1, gen_complex(-1000, 1000));
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GEN(c2, gen_complex(-1000, 1000));
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auto out1 = c1 / c2;
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auto out2 = c1;
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out2 /= c2;
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EXPECT_EQ(out2, out1);
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}
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RANDOMIZED_TEST_CASE(commutativity_c_c)
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{
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GEN(c1, gen_complex());
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GEN(c2, gen_complex());
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expect_approximate_complex(c1 + c2, c2 + c1);
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expect_approximate_complex(c1 * c2, c2 * c1);
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}
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RANDOMIZED_TEST_CASE(commutativity_c_r)
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{
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GEN(c, gen_complex());
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GEN(r, Gen::number_f64());
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expect_approximate_complex(r + c, c + r);
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expect_approximate_complex(r * c, c * r);
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}
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RANDOMIZED_TEST_CASE(unary_plus_noop)
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{
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GEN(c, gen_complex());
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EXPECT_EQ(+c, c);
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}
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RANDOMIZED_TEST_CASE(unary_minus_inverse)
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{
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GEN(c, gen_complex());
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expect_approximate_complex(-(-c), c);
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}
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RANDOMIZED_TEST_CASE(wrapping_real)
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{
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GEN(c, gen_complex(-1000, 1000));
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GEN(r, Gen::number_f64(-1000, 1000));
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auto cr = Complex<f64>(r);
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expect_approximate_complex(r + c, cr + c);
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expect_approximate_complex(r - c, cr - c);
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expect_approximate_complex(r * c, cr * c);
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expect_approximate_complex(r / c, cr / c);
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expect_approximate_complex(c + r, c + cr);
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expect_approximate_complex(c - r, c - cr);
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expect_approximate_complex(c * r, c * cr);
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expect_approximate_complex(c / r, c / cr);
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}
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