mkql_builtins_nanvl.cpp 5.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108
  1. #include "mkql_builtins_decimal.h" // Y_IGNORE
  2. #include <cmath>
  3. namespace NKikimr {
  4. namespace NMiniKQL {
  5. namespace {
  6. template <typename TLeft, typename TRight, typename TOutput, bool IsRightOptional>
  7. struct TNanvl {
  8. static NUdf::TUnboxedValuePod Execute(const NUdf::TUnboxedValuePod& left, const NUdf::TUnboxedValuePod& right)
  9. {
  10. const auto lv = left.Get<TLeft>();
  11. if (!std::isnan(lv)) {
  12. return std::is_same<TLeft, TOutput>() ? left : NUdf::TUnboxedValuePod(static_cast<TOutput>(lv));
  13. }
  14. if (std::is_same<TRight, TOutput>()) {
  15. return right;
  16. } else {
  17. if (IsRightOptional && !right) {
  18. return NUdf::TUnboxedValuePod();
  19. }
  20. const auto rv = right.Get<TRight>();
  21. return NUdf::TUnboxedValuePod(static_cast<TOutput>(rv));
  22. }
  23. }
  24. #ifndef MKQL_DISABLE_CODEGEN
  25. static Value* Generate(Value* left, Value* right, const TCodegenContext& ctx, BasicBlock*& block)
  26. {
  27. auto& context = ctx.Codegen.GetContext();
  28. auto& module = ctx.Codegen.GetModule();
  29. const auto val = GetterFor<TLeft>(left, context, block);
  30. const auto fnType = FunctionType::get(Type::getInt1Ty(context), {val->getType()}, false);
  31. const auto name = std::is_same<TLeft, float>() ? "MyFloatIsNan" : "MyDoubleIsNan";
  32. ctx.Codegen.AddGlobalMapping(name, reinterpret_cast<const void*>(static_cast<bool(*)(TLeft)>(&std::isnan)));
  33. const auto func = module.getOrInsertFunction(name, fnType).getCallee();
  34. const auto isnan = CallInst::Create(fnType, func, {val}, "isnan", block);
  35. const auto lout = std::is_same<TLeft, TOutput>() ? left : SetterFor<TOutput>(StaticCast<TLeft, TOutput>(val, context, block), context, block);
  36. const auto rout = std::is_same<TRight, TOutput>() ? right : SetterFor<TOutput>(StaticCast<TRight, TOutput>(GetterFor<TRight>(right, context, block), context, block), context, block);
  37. if (IsRightOptional && !std::is_same<TRight, TOutput>()) {
  38. const auto nanvl = SelectInst::Create(isnan, rout, lout, "nanvl", block);
  39. return nanvl;
  40. } else {
  41. const auto nanvl = SelectInst::Create(isnan, rout, lout, "nanvl", block);
  42. return nanvl;
  43. }
  44. }
  45. #endif
  46. };
  47. struct TDecimalNanvl {
  48. static NUdf::TUnboxedValuePod Execute(const NUdf::TUnboxedValuePod& left, const NUdf::TUnboxedValuePod& right)
  49. {
  50. return NYql::NDecimal::IsComparable(left.GetInt128()) ? left : right;
  51. }
  52. #ifndef MKQL_DISABLE_CODEGEN
  53. static Value* Generate(Value* left, Value* right, const TCodegenContext& ctx, BasicBlock*& block)
  54. {
  55. auto& context = ctx.Codegen.GetContext();
  56. const auto good = NDecimal::GenIsComparable(GetterForInt128(left, block), context, block);
  57. const auto sel = SelectInst::Create(good, left, right, "sel", block);
  58. return sel;
  59. }
  60. #endif
  61. };
  62. template <
  63. typename TInput1, typename TInput2, typename TOutput,
  64. template<typename, typename, typename, bool> class TFunc,
  65. template<typename, typename, typename, bool, bool> class TArgs
  66. >
  67. void RegisterBinaryNavlLeftOpt(IBuiltinFunctionRegistry& registry, const char* name) {
  68. RegisterFunctionImpl<TFunc<typename TInput1::TLayout, typename TInput2::TLayout, typename TOutput::TLayout, false>, TArgs<TInput1, TInput2, TOutput, false, false>, TBinaryWrap<false, false>>(registry, name);
  69. RegisterFunctionImpl<TFunc<typename TInput1::TLayout, typename TInput2::TLayout, typename TOutput::TLayout, true>, TArgs<TInput1, TInput2, TOutput, false, true>, TBinaryWrap<false, false>>(registry, name);
  70. RegisterFunctionImpl<TFunc<typename TInput1::TLayout, typename TInput2::TLayout, typename TOutput::TLayout, false>, TArgs<TInput1, TInput2, TOutput, true, false>, TBinaryWrap<true, false>>(registry, name);
  71. RegisterFunctionImpl<TFunc<typename TInput1::TLayout, typename TInput2::TLayout, typename TOutput::TLayout, true>, TArgs<TInput1, TInput2, TOutput, true, true>, TBinaryWrap<true, false>>(registry, name);
  72. }
  73. void RegisterBinaryNavlFunction(IBuiltinFunctionRegistry& registry, const char* name) {
  74. RegisterBinaryNavlLeftOpt<NUdf::TDataType<float>, NUdf::TDataType<float>, NUdf::TDataType<float>, TNanvl, TBinaryArgsOpt>(registry, name);
  75. RegisterBinaryNavlLeftOpt<NUdf::TDataType<float>, NUdf::TDataType<double>, NUdf::TDataType<double>, TNanvl, TBinaryArgsOpt>(registry, name);
  76. RegisterBinaryNavlLeftOpt<NUdf::TDataType<double>, NUdf::TDataType<float>, NUdf::TDataType<double>, TNanvl, TBinaryArgsOpt>(registry, name);
  77. RegisterBinaryNavlLeftOpt<NUdf::TDataType<double>, NUdf::TDataType<double>, NUdf::TDataType<double>, TNanvl, TBinaryArgsOpt>(registry, name);
  78. }
  79. void RegisterBinaryNavlDecimal(IBuiltinFunctionRegistry& registry, const char* name) {
  80. RegisterFunctionImpl<TDecimalNanvl, TBinaryArgsOpt<NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, false, false>, TBinaryWrap<false, false>>(registry, name);
  81. RegisterFunctionImpl<TDecimalNanvl, TBinaryArgsOpt<NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, false, true>, TBinaryWrap<false, false>>(registry, name);
  82. RegisterFunctionImpl<TDecimalNanvl, TBinaryArgsOpt<NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, true, false>, TBinaryWrap<true, false>>(registry, name);
  83. RegisterFunctionImpl<TDecimalNanvl, TBinaryArgsOpt<NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, NUdf::TDataType<NUdf::TDecimal>, true, true>, TBinaryWrap<true, false>>(registry, name);
  84. }
  85. }
  86. void RegisterNanvl(IBuiltinFunctionRegistry& registry) {
  87. RegisterBinaryNavlFunction(registry, "Nanvl");
  88. RegisterBinaryNavlDecimal(registry, "Nanvl");
  89. }
  90. } // namespace NMiniKQL
  91. } // namespace NKikimr