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Add .clang-format file
Using clang-format version 12.0.0
This commit is contained in:
MerryMage
parent
51b155df92
commit
53493b2024
315 changed files with 3178 additions and 2660 deletions
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@ -59,8 +59,8 @@ static u32 GenRandomInst(u64 pc, bool is_last_inst) {
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static const struct InstructionGeneratorInfo {
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std::vector<InstructionGenerator> generators;
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std::vector<InstructionGenerator> invalid;
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} instructions = []{
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const std::vector<std::tuple<std::string, const char*>> list {
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} instructions = [] {
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const std::vector<std::tuple<std::string, const char*>> list{
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#define INST(fn, name, bitstring) {#fn, bitstring},
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#include "dynarmic/frontend/A64/decoder/a64.inc"
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#undef INST
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@ -70,15 +70,24 @@ static u32 GenRandomInst(u64 pc, bool is_last_inst) {
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std::vector<InstructionGenerator> invalid;
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// List of instructions not to test
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const std::vector<std::string> do_not_test {
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const std::vector<std::string> do_not_test{
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// Unimplemented in QEMU
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"STLLR",
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// Unimplemented in QEMU
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"LDLAR",
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// Dynarmic and QEMU currently differ on how the exclusive monitor's address range works.
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"STXR", "STLXR", "STXP", "STLXP", "LDXR", "LDAXR", "LDXP", "LDAXP",
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"STXR",
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"STLXR",
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"STXP",
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"STLXP",
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"LDXR",
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"LDAXR",
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"LDXP",
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"LDAXP",
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// Behaviour differs from QEMU
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"MSR_reg", "MSR_imm", "MRS",
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"MSR_reg",
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"MSR_imm",
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"MRS",
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};
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for (const auto& [fn, bitstring] : list) {
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@ -108,16 +117,15 @@ static u32 GenRandomInst(u64 pc, bool is_last_inst) {
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}
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static u32 GenFloatInst(u64 pc, bool is_last_inst) {
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static const std::vector<InstructionGenerator> instruction_generators = []{
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const std::vector<std::tuple<std::string, std::string, const char*>> list {
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static const std::vector<InstructionGenerator> instruction_generators = [] {
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const std::vector<std::tuple<std::string, std::string, const char*>> list{
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#define INST(fn, name, bitstring) {#fn, #name, bitstring},
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#include "dynarmic/frontend/A64/decoder/a64.inc"
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#undef INST
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};
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// List of instructions not to test
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const std::vector<std::string> do_not_test {
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};
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const std::vector<std::string> do_not_test{};
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std::vector<InstructionGenerator> result;
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@ -154,13 +162,11 @@ static Dynarmic::A64::UserConfig GetUserConfig(A64TestEnv& jit_env) {
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return jit_user_config;
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}
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static void RunTestInstance(Dynarmic::A64::Jit& jit, A64Unicorn& uni, A64TestEnv& jit_env, A64TestEnv& uni_env,
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const A64Unicorn::RegisterArray& regs, const A64Unicorn::VectorArray& vecs, const size_t instructions_start,
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const std::vector<u32>& instructions, const u32 pstate, const u32 fpcr) {
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static void RunTestInstance(Dynarmic::A64::Jit& jit, A64Unicorn& uni, A64TestEnv& jit_env, A64TestEnv& uni_env, const A64Unicorn::RegisterArray& regs, const A64Unicorn::VectorArray& vecs, const size_t instructions_start, const std::vector<u32>& instructions, const u32 pstate, const u32 fpcr) {
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jit_env.code_mem = instructions;
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uni_env.code_mem = instructions;
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jit_env.code_mem.emplace_back(0x14000000); // B .
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uni_env.code_mem.emplace_back(0x14000000); // B .
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jit_env.code_mem.emplace_back(0x14000000); // B .
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uni_env.code_mem.emplace_back(0x14000000); // B .
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jit_env.code_mem_start_address = instructions_start;
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uni_env.code_mem_start_address = instructions_start;
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jit_env.modified_memory.clear();
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@ -302,7 +308,7 @@ TEST_CASE("A64: Single random instruction", "[a64]") {
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std::vector<u32> instructions(1);
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for (size_t iteration = 0; iteration < 100000; ++iteration) {
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std::generate(regs.begin(), regs.end(), []{ return RandInt<u64>(0, ~u64(0)); });
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std::generate(regs.begin(), regs.end(), [] { return RandInt<u64>(0, ~u64(0)); });
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std::generate(vecs.begin(), vecs.end(), RandomVector);
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instructions[0] = GenRandomInst(0, true);
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@ -324,49 +330,49 @@ TEST_CASE("A64: Floating point instructions", "[a64]") {
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Dynarmic::A64::Jit jit{GetUserConfig(jit_env)};
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A64Unicorn uni{uni_env};
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static constexpr std::array<u64, 80> float_numbers {
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0x00000000, // positive zero
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0x00000001, // smallest positive denormal
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0x00000076, //
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0x00002b94, //
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0x00636d24, //
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0x007fffff, // largest positive denormal
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0x00800000, // smallest positive normalised real
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0x00800002, //
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0x01398437, //
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0x0ba98d27, //
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0x0ba98d7a, //
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0x751f853a, //
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0x7f7ffff0, //
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0x7f7fffff, // largest positive normalised real
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0x7f800000, // positive infinity
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0x7f800001, // first positive SNaN
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0x7f984a37, //
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0x7fbfffff, // last positive SNaN
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0x7fc00000, // first positive QNaN
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0x7fd9ba98, //
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0x7fffffff, // last positive QNaN
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0x80000000, // negative zero
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0x80000001, // smallest negative denormal
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0x80000076, //
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0x80002b94, //
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0x80636d24, //
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0x807fffff, // largest negative denormal
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0x80800000, // smallest negative normalised real
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0x80800002, //
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0x81398437, //
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0x8ba98d27, //
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0x8ba98d7a, //
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0xf51f853a, //
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0xff7ffff0, //
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0xff7fffff, // largest negative normalised real
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0xff800000, // negative infinity
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0xff800001, // first negative SNaN
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0xff984a37, //
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0xffbfffff, // last negative SNaN
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0xffc00000, // first negative QNaN
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0xffd9ba98, //
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0xffffffff, // last negative QNaN
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static constexpr std::array<u64, 80> float_numbers{
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0x00000000, // positive zero
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0x00000001, // smallest positive denormal
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0x00000076, //
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0x00002b94, //
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0x00636d24, //
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0x007fffff, // largest positive denormal
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0x00800000, // smallest positive normalised real
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0x00800002, //
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0x01398437, //
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0x0ba98d27, //
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0x0ba98d7a, //
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0x751f853a, //
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0x7f7ffff0, //
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0x7f7fffff, // largest positive normalised real
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0x7f800000, // positive infinity
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0x7f800001, // first positive SNaN
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0x7f984a37, //
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0x7fbfffff, // last positive SNaN
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0x7fc00000, // first positive QNaN
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0x7fd9ba98, //
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0x7fffffff, // last positive QNaN
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0x80000000, // negative zero
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0x80000001, // smallest negative denormal
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0x80000076, //
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0x80002b94, //
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0x80636d24, //
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0x807fffff, // largest negative denormal
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0x80800000, // smallest negative normalised real
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0x80800002, //
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0x81398437, //
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0x8ba98d27, //
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0x8ba98d7a, //
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0xf51f853a, //
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0xff7ffff0, //
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0xff7fffff, // largest negative normalised real
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0xff800000, // negative infinity
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0xff800001, // first negative SNaN
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0xff984a37, //
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0xffbfffff, // last negative SNaN
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0xffc00000, // first negative QNaN
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0xffd9ba98, //
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0xffffffff, // last negative QNaN
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// some random numbers follow
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0x4f3495cb,
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0xe73a5134,
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@ -397,26 +403,26 @@ TEST_CASE("A64: Floating point instructions", "[a64]") {
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0xc79b271e,
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0x460e8c84,
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// some 64-bit-float upper-halves
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0x7ff00000, // +SNaN / +Inf
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0x7ff0abcd, // +SNaN
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0x7ff80000, // +QNaN
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0x7ff81234, // +QNaN
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0xfff00000, // -SNaN / -Inf
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0xfff05678, // -SNaN
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0xfff80000, // -QNaN
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0xfff809ef, // -QNaN
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0x3ff00000, // Number near +1.0
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0xbff00000, // Number near -1.0
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0x7ff00000, // +SNaN / +Inf
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0x7ff0abcd, // +SNaN
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0x7ff80000, // +QNaN
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0x7ff81234, // +QNaN
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0xfff00000, // -SNaN / -Inf
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0xfff05678, // -SNaN
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0xfff80000, // -QNaN
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0xfff809ef, // -QNaN
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0x3ff00000, // Number near +1.0
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0xbff00000, // Number near -1.0
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};
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const auto gen_float = [&]{
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const auto gen_float = [&] {
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if (RandInt<size_t>(0, 1) == 0) {
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return RandInt<u64>(0, 0xffffffff);
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}
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return float_numbers[RandInt<size_t>(0, float_numbers.size() - 1)];
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};
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const auto gen_vector = [&]{
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const auto gen_vector = [&] {
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u64 upper = (gen_float() << 32) | gen_float();
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u64 lower = (gen_float() << 32) | gen_float();
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return Vector{lower, upper};
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@ -477,7 +483,6 @@ TEST_CASE("A64: Small random block", "[a64]") {
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}
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}
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TEST_CASE("A64: Large random block", "[a64]") {
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A64TestEnv jit_env{};
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A64TestEnv uni_env{};
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