; LLVM IR from Godot-Machine-Learning/Godot_MachineLearning :: mlr.ll (ZN16LinearRegression7predictESt6vectorIdSaIdEE)

; Unoptimized IR (clang -disable-llvm-passes):
target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-linux-gnu"

%class.LinearRegression = type { %class.DataIOClass, %class.ITrainPredict, %"class.std::vector.0", %"class.std::vector", %"class.std::vector", i16, %"class.std::future", %"class.std::mutex" }
%class.DataIOClass = type { ptr, %"class.std::vector", %"class.std::vector.0", %"class.std::vector" }
%class.ITrainPredict = type { ptr, %"class.std::function" }
%"class.std::function" = type { %"class.std::_Function_base", ptr }
%"class.std::_Function_base" = type { %"union.std::_Any_data", ptr }
%"union.std::_Any_data" = type { %"union.std::_Nocopy_types" }
%"union.std::_Nocopy_types" = type { { i64, i64 } }
%"class.std::vector.0" = type { %"struct.std::_Vector_base.1" }
%"struct.std::_Vector_base.1" = type { %"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl" }
%"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl" = type { %"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl_data" }
%"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl_data" = type { ptr, ptr, ptr }
%"class.std::vector" = type { %"struct.std::_Vector_base" }
%"struct.std::_Vector_base" = type { %"struct.std::_Vector_base<double, std::allocator<double>>::_Vector_impl" }
%"struct.std::_Vector_base<double, std::allocator<double>>::_Vector_impl" = type { %"struct.std::_Vector_base<double, std::allocator<double>>::_Vector_impl_data" }
%"struct.std::_Vector_base<double, std::allocator<double>>::_Vector_impl_data" = type { ptr, ptr, ptr }
%"class.std::future" = type { %"class.std::__basic_future" }
%"class.std::__basic_future" = type { %"class.std::shared_ptr" }
%"class.std::shared_ptr" = type { %"class.std::__shared_ptr" }
%"class.std::__shared_ptr" = type { ptr, %"class.std::__shared_count" }
%"class.std::__shared_count" = type { ptr }
%"class.std::mutex" = type { %"class.std::__mutex_base" }
%"class.std::__mutex_base" = type { %union.pthread_mutex_t }
%union.pthread_mutex_t = type { %struct.__pthread_mutex_s }
%struct.__pthread_mutex_s = type { i32, i32, i32, i32, i32, i16, i16, %struct.__pthread_internal_list }
%struct.__pthread_internal_list = type { ptr, ptr }

; Function Attrs: nocallback nofree nosync nounwind willreturn memory(argmem: readwrite)
declare void @llvm.lifetime.start.p0(i64 immarg, ptr nocapture) #0

; Function Attrs: nocallback nofree nosync nounwind willreturn memory(argmem: readwrite)
declare void @llvm.lifetime.end.p0(i64 immarg, ptr nocapture) #0

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef i64 @_ZNKSt6vectorIdSaIdEE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24)) #1 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) #1 align 2

; Function Attrs: mustprogress nounwind uwtable
define dso_local noundef double @_ZN16LinearRegression7predictESt6vectorIdSaIdEE(ptr noundef nonnull align 8 dereferenceable(256) %0, ptr noundef %1) #1 align 2 {
  %3 = alloca ptr, align 8
  %4 = alloca ptr, align 8
  %5 = alloca double, align 8
  %6 = alloca i64, align 8
  %7 = alloca double, align 8
  store ptr %0, ptr %3, align 8, !tbaa !5
  store ptr %1, ptr %4, align 8, !tbaa !5
  %8 = load ptr, ptr %3, align 8
  call void @llvm.lifetime.start.p0(i64 8, ptr %5) #2
  store double 0.000000e+00, ptr %5, align 8, !tbaa !9
  %9 = getelementptr inbounds %class.LinearRegression, ptr %8, i32 0, i32 4
  %10 = call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24) %9, i64 noundef 0) #2
  %11 = load double, ptr %10, align 8, !tbaa !9
  %12 = load double, ptr %5, align 8, !tbaa !9
  %13 = fadd double %12, %11
  store double %13, ptr %5, align 8, !tbaa !9
  call void @llvm.lifetime.start.p0(i64 8, ptr %6) #2
  store i64 0, ptr %6, align 8, !tbaa !11
  br label %14

14:                                               ; preds = %32, %2
  %15 = load i64, ptr %6, align 8, !tbaa !11
  %16 = call noundef i64 @_ZNKSt6vectorIdSaIdEE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %1) #2
  %17 = icmp ult i64 %15, %16
  br i1 %17, label %19, label %18

18:                                               ; preds = %14
  call void @llvm.lifetime.end.p0(i64 8, ptr %6) #2
  br label %35

19:                                               ; preds = %14
  call void @llvm.lifetime.start.p0(i64 8, ptr %7) #2
  %20 = getelementptr inbounds %class.LinearRegression, ptr %8, i32 0, i32 4
  %21 = load i64, ptr %6, align 8, !tbaa !11
  %22 = add i64 %21, 1
  %23 = call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24) %20, i64 noundef %22) #2
  %24 = load double, ptr %23, align 8, !tbaa !9
  %25 = load i64, ptr %6, align 8, !tbaa !11
  %26 = call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24) %1, i64 noundef %25) #2
  %27 = load double, ptr %26, align 8, !tbaa !9
  %28 = fmul double %24, %27
  store double %28, ptr %7, align 8, !tbaa !9
  %29 = load double, ptr %7, align 8, !tbaa !9
  %30 = load double, ptr %5, align 8, !tbaa !9
  %31 = fadd double %30, %29
  store double %31, ptr %5, align 8, !tbaa !9
  call void @llvm.lifetime.end.p0(i64 8, ptr %7) #2
  br label %32

32:                                               ; preds = %19
  %33 = load i64, ptr %6, align 8, !tbaa !11
  %34 = add i64 %33, 1
  store i64 %34, ptr %6, align 8, !tbaa !11
  br label %14, !llvm.loop !13

35:                                               ; preds = %18
  %36 = load double, ptr %5, align 8, !tbaa !9
  call void @llvm.lifetime.end.p0(i64 8, ptr %5) #2
  ret double %36
}

attributes #0 = { nocallback nofree nosync nounwind willreturn memory(argmem: readwrite) }
attributes #1 = { mustprogress nounwind uwtable "min-legal-vector-width"="0" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #2 = { nounwind }

!llvm.module.flags = !{!0, !1, !2, !3}
!llvm.ident = !{!4}

!0 = !{i32 1, !"wchar_size", i32 4}
!1 = !{i32 8, !"PIC Level", i32 2}
!2 = !{i32 7, !"PIE Level", i32 2}
!3 = !{i32 7, !"uwtable", i32 2}
!4 = !{!"clang version 19.1.0 (git@github.com:llvm/llvm-project.git a4bf6cd7cfb1a1421ba92bca9d017b49936c55e4)"}
!5 = !{!6, !6, i64 0}
!6 = !{!"any pointer", !7, i64 0}
!7 = !{!"omnipotent char", !8, i64 0}
!8 = !{!"Simple C++ TBAA"}
!9 = !{!10, !10, i64 0}
!10 = !{!"double", !7, i64 0}
!11 = !{!12, !12, i64 0}
!12 = !{!"long", !7, i64 0}
!13 = distinct !{!13, !14}
!14 = !{!"llvm.loop.mustprogress"}


; Optimized IR (opt -passes='default<O3>'):
target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-linux-gnu"

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef i64 @_ZNKSt6vectorIdSaIdEE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24)) local_unnamed_addr #0 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) local_unnamed_addr #0 align 2

; Function Attrs: mustprogress nounwind uwtable
define dso_local noundef double @_ZN16LinearRegression7predictESt6vectorIdSaIdEE(ptr noundef nonnull align 8 dereferenceable(256) %0, ptr noundef %1) local_unnamed_addr #0 align 2 {
  %3 = getelementptr inbounds i8, ptr %0, i64 168
  %4 = tail call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24) %3, i64 noundef 0) #1
  %5 = load double, ptr %4, align 8, !tbaa !5
  %6 = fadd double %5, 0.000000e+00
  %7 = tail call noundef i64 @_ZNKSt6vectorIdSaIdEE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %1) #1
  %.not = icmp eq i64 %7, 0
  br i1 %.not, label %._crit_edge, label %.lr.ph

._crit_edge:                                      ; preds = %.lr.ph, %2
  %.0.lcssa = phi double [ %6, %2 ], [ %14, %.lr.ph ]
  ret double %.0.lcssa

.lr.ph:                                           ; preds = %2, %.lr.ph
  %.010 = phi double [ %14, %.lr.ph ], [ %6, %2 ]
  %.089 = phi i64 [ %8, %.lr.ph ], [ 0, %2 ]
  %8 = add nuw i64 %.089, 1
  %9 = tail call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24) %3, i64 noundef %8) #1
  %10 = load double, ptr %9, align 8, !tbaa !5
  %11 = tail call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorIdSaIdEEixEm(ptr noundef nonnull align 8 dereferenceable(24) %1, i64 noundef %.089) #1
  %12 = load double, ptr %11, align 8, !tbaa !5
  %13 = fmul double %10, %12
  %14 = fadd double %.010, %13
  %15 = tail call noundef i64 @_ZNKSt6vectorIdSaIdEE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %1) #1
  %16 = icmp ult i64 %8, %15
  br i1 %16, label %.lr.ph, label %._crit_edge, !llvm.loop !9
}

attributes #0 = { mustprogress nounwind uwtable "min-legal-vector-width"="0" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #1 = { nounwind }

!llvm.module.flags = !{!0, !1, !2, !3}
!llvm.ident = !{!4}

!0 = !{i32 1, !"wchar_size", i32 4}
!1 = !{i32 8, !"PIC Level", i32 2}
!2 = !{i32 7, !"PIE Level", i32 2}
!3 = !{i32 7, !"uwtable", i32 2}
!4 = !{!"clang version 19.1.0 (git@github.com:llvm/llvm-project.git a4bf6cd7cfb1a1421ba92bca9d017b49936c55e4)"}
!5 = !{!6, !6, i64 0}
!6 = !{!"double", !7, i64 0}
!7 = !{!"omnipotent char", !8, i64 0}
!8 = !{!"Simple C++ TBAA"}
!9 = distinct !{!9, !10}
!10 = !{!"llvm.loop.mustprogress"}


; Effective O3 passes: CorrelatedValuePropagationPass,EarlyCSEPass,GVNPass,GlobalOptPass,InferFunctionAttrsPass,InstCombinePass,InstSimplifyPass,JumpThreadingPass,LCSSAPass,LoopRotatePass,LoopSimplifyPass,LoopUnrollPass,SROAPass,SimplifyCFGPass,TailCallElimPass