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https://github.com/SerenityOS/serenity
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This is a set of functions that allow you to convert between arbitrary
IEEE 754 floating point types, as long as they can be represented
within 64 bits. Conversion methods between floats and doubles are
provided, as well as a generic `float_to_float()`.
Example usage:
#include <AK/FloatingPoint.h>
double val = 1.234;
auto weird_f16 =
convert_from_native_double<FloatingPointBits<0, 6, 10>>(val);
Signed and unsigned floats are supported, and both NaN and +/-Inf are
handled correctly. Values that do not fit in the target floating point
type are clamped.
86 lines
2.8 KiB
C++
86 lines
2.8 KiB
C++
/*
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* Copyright (c) 2022, Jelle Raaijmakers <jelle@gmta.nl>
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*
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* SPDX-License-Identifier: BSD-2-Clause
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*/
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#include <AK/FloatingPoint.h>
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#include <LibTest/TestCase.h>
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#include <math.h>
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TEST_CASE(f16_1_5_10_to_native_float)
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{
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auto within_approximate = [](u16 lhs, float rhs) -> bool {
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auto f32_lhs = convert_to_native_float(FloatingPointBits<1, 5, 10>(lhs));
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return fabsf(f32_lhs - rhs) <= 0.00001f;
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};
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EXPECT(within_approximate(0x0000, 0.f));
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EXPECT(within_approximate(0x03FF, 0.000061f));
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EXPECT(within_approximate(0x3CEF, 1.23339f));
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EXPECT(within_approximate(0xBC00, -1.f));
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EXPECT(within_approximate(0xA266, -0.0125f));
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float result;
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result = convert_to_native_float(FloatingPointBits<1, 5, 10>(0xFC01u));
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EXPECT(isnan(result));
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result = convert_to_native_float(FloatingPointBits<1, 5, 10>(0x7C00u));
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EXPECT(isinf(result));
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}
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TEST_CASE(float_to_double_roundtrips)
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{
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auto roundtrip = [](float floatvalue1) {
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auto doublevalue = convert_from_native_float<DoubleFloatingPointBits>(floatvalue1).as_double();
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auto floatbits = convert_from_native_double<SingleFloatingPointBits>(doublevalue);
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auto floatvalue2 = convert_to_native_float(floatbits);
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EXPECT_APPROXIMATE(floatvalue1, floatvalue2);
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};
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roundtrip(-1.0f);
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roundtrip(-0.1f);
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roundtrip(0.0f);
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roundtrip(0.000001f);
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roundtrip(0.1f);
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roundtrip(1.0f);
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roundtrip(3.141592f);
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roundtrip(16777216.0f);
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roundtrip(33554432.0f);
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roundtrip(1 / 0.0f);
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roundtrip(1 / -0.0f);
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roundtrip(0 / 0.0f);
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}
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TEST_CASE(normalize_denormalize)
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{
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// Go from denormalized float to normalized double
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auto denormalized_float = 6.709679e-39f;
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auto denormalized_float_bits = SingleFloatingPointBits(denormalized_float);
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auto normalized_double = convert_to_native_double(denormalized_float_bits);
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EXPECT_APPROXIMATE(denormalized_float, normalized_double);
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// Go back from normalized double to denormalized float
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auto normalized_double_bits = DoubleFloatingPointBits(normalized_double);
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auto reconstructed_denormalized_float = convert_to_native_float(normalized_double_bits);
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EXPECT_APPROXIMATE(denormalized_float, reconstructed_denormalized_float);
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}
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TEST_CASE(large_exponent)
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{
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// Make sure we support at least 62 bits of exponent
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auto large_exponent_float = convert_from_native_double<FloatingPointBits<1, 62, 1>>(1.0);
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auto converted_double = convert_to_native_double(large_exponent_float);
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EXPECT_APPROXIMATE(converted_double, 1.0);
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}
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TEST_CASE(large_mantissa)
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{
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// Make sure we support at least 62 bits of mantissa
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auto large_exponent_float = convert_from_native_double<FloatingPointBits<1, 1, 62>>(1.0);
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auto converted_double = convert_to_native_double(large_exponent_float);
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EXPECT_APPROXIMATE(converted_double, 1.0);
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}
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