UnitTests: Put PowerPC test values in a separate file

We use more or less the same values for all PowerPC float unit
tests. Let's put them in one place instead of duplicating them.

1 files changed, 3 insertions, 54 deletions

diff --git a/Source/UnitTests/Core/PowerPC/Jit64Common/ConvertDoubleToSingle.cpp b/Source/UnitTests/Core/PowerPC/Jit64Common/ConvertDoubleToSingle.cpp
index aa4324968d..591c57b343 100644
--- a/Source/UnitTests/Core/PowerPC/Jit64Common/ConvertDoubleToSingle.cpp
+++ b/Source/UnitTests/Core/PowerPC/Jit64Common/ConvertDoubleToSingle.cpp
@@ -4,7 +4,6 @@
 
 #include <cstring>
 #include <tuple>
-#include <vector>
 
 #include "Common/CommonTypes.h"
 #include "Common/x64ABI.h"
@@ -14,6 +13,8 @@
 #include "Core/PowerPC/Jit64Common/Jit64AsmCommon.h"
 #include "Core/PowerPC/Jit64Common/Jit64PowerPCState.h"
 
+#include "../TestValues.h"
+
 #include <fmt/format.h>
 #include <gtest/gtest.h>
 
@@ -53,59 +54,7 @@ TEST(Jit64, ConvertDoubleToSingle)
 {
   TestCommonAsmRoutines routines;
 
-  const std::vector<u64> input_values{
-      // Special values
-      0x0000'0000'0000'0000,  // positive zero
-      0x0000'0000'0000'0001,  // smallest positive denormal
-      0x0000'0000'0100'0000,
-      0x000F'FFFF'FFFF'FFFF,  // largest positive denormal
-      0x0010'0000'0000'0000,  // smallest positive normal
-      0x0010'0000'0000'0002,
-      0x3FF0'0000'0000'0000,  // 1.0
-      0x7FEF'FFFF'FFFF'FFFF,  // largest positive normal
-      0x7FF0'0000'0000'0000,  // positive infinity
-      0x7FF0'0000'0000'0001,  // first positive SNaN
-      0x7FF7'FFFF'FFFF'FFFF,  // last positive SNaN
-      0x7FF8'0000'0000'0000,  // first positive QNaN
-      0x7FFF'FFFF'FFFF'FFFF,  // last positive QNaN
-      0x8000'0000'0000'0000,  // negative zero
-      0x8000'0000'0000'0001,  // smallest negative denormal
-      0x8000'0000'0100'0000,
-      0x800F'FFFF'FFFF'FFFF,  // largest negative denormal
-      0x8010'0000'0000'0000,  // smallest negative normal
-      0x8010'0000'0000'0002,
-      0xBFF0'0000'0000'0000,  // -1.0
-      0xFFEF'FFFF'FFFF'FFFF,  // largest negative normal
-      0xFFF0'0000'0000'0000,  // negative infinity
-      0xFFF0'0000'0000'0001,  // first negative SNaN
-      0xFFF7'FFFF'FFFF'FFFF,  // last negative SNaN
-      0xFFF8'0000'0000'0000,  // first negative QNaN
-      0xFFFF'FFFF'FFFF'FFFF,  // last negative QNaN
-
-      // (exp > 896) Boundary Case
-      0x3800'0000'0000'0000,  // 2^(-127) = Denormal in single-prec
-      0x3810'0000'0000'0000,  // 2^(-126) = Smallest single-prec normal
-      0xB800'0000'0000'0000,  // -2^(-127) = Denormal in single-prec
-      0xB810'0000'0000'0000,  // -2^(-126) = Smallest single-prec normal
-      0x3800'1234'5678'9ABC, 0x3810'1234'5678'9ABC, 0xB800'1234'5678'9ABC, 0xB810'1234'5678'9ABC,
-
-      // (exp >= 874) Boundary Case
-      0x3680'0000'0000'0000,  // 2^(-150) = Unrepresentable in single-prec
-      0x36A0'0000'0000'0000,  // 2^(-149) = Smallest single-prec denormal
-      0x36B0'0000'0000'0000,  // 2^(-148) = Single-prec denormal
-      0xB680'0000'0000'0000,  // -2^(-150) = Unrepresentable in single-prec
-      0xB6A0'0000'0000'0000,  // -2^(-149) = Smallest single-prec denormal
-      0xB6B0'0000'0000'0000,  // -2^(-148) = Single-prec denormal
-      0x3680'1234'5678'9ABC, 0x36A0'1234'5678'9ABC, 0x36B0'1234'5678'9ABC, 0xB680'1234'5678'9ABC,
-      0xB6A0'1234'5678'9ABC, 0xB6B0'1234'5678'9ABC,
-
-      // Some typical numbers
-      0x3FF8'0000'0000'0000,  // 1.5
-      0x408F'4000'0000'0000,  // 1000
-      0xC008'0000'0000'0000,  // -3
-  };
-
-  for (const u64 input : input_values)
+  for (const u64 input : double_test_values)
   {
     const u32 expected = ConvertToSingle(input);
     const u32 actual = routines.wrapped_cdts(input);