},
	{
		// Passing the address of a slice of an array that is
		// an element in a struct, with a type conversion.
		name:    "sliceok3",
		c:       `void f10(void* p) {}`,
		imports: []string{"unsafe"},
		support: `type S10 struct { p *int; a [4]byte }`,
		body:    `i := 0; p := &S10{p:&i}; s := p.a[:]; C.f10(unsafe.Pointer(&s[0]))`,
		fail:    false,
	},
	{
		// Passing the address of a slice of an array that is

	s = make([]int, i, 1)  // ERROR "make\(\[\]int, i, 1\) does not escape"
	_ = s
}

func slice12(x []int) *[1]int { // ERROR "leaking param: x to result ~r0 level=0$"
	return (*[1]int)(x)
}

func slice13(x []*int) [1]*int { // ERROR "leaking param: x to result ~r0 level=1$"
	return [1]*int(x)
}

func envForDir(dir string) []string { // ERROR "dir does not escape"
	env := os.Environ()

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

type Recv <-chan int

type sliceOf[E any] interface {
	~[]E
}

func _Append[S sliceOf[T], T any](s S, t ...T) S {
	return append(s, t...)
}

func main() {
	recv := make(Recv)
	a := _Append([]Recv{recv}, recv)
	if len(a) != 2 || a[0] != recv || a[1] != recv {

                                PatternRewriter& rewriter) const override;
};

// Pad slice to 4d.
struct PadSlice : public OpRewritePattern<TFL::SliceOp> {
  using OpRewritePattern<TFL::SliceOp>::OpRewritePattern;

  LogicalResult matchAndRewrite(TFL::SliceOp slice_op,
                                PatternRewriter& rewriter) const override;
};

// Fully connected to conv2d.

	}
	rv = ValueOf(&xa).Elem()
	shouldPanic("Slice3", func() { rv.Slice3(1, 2, 1) })
	shouldPanic("Slice3", func() { rv.Slice3(1, 1, 11) })
	shouldPanic("Slice3", func() { rv.Slice3(2, 2, 1) })

	s := "hello world"
	rv = ValueOf(&s).Elem()
	shouldPanic("Slice3", func() { rv.Slice3(1, 2, 3) })

	rv = ValueOf(&xs).Elem()
	rv = rv.Slice3(3, 5, 7)
	ptr2 := rv.UnsafePointer()
	rv = rv.Slice3(4, 4, 4)

// Copyright 2019 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build !unix

package bio

func (r *Reader) sliceOS(length uint64) ([]byte, bool) {
	return nil, false

				isPtr := fieldType.Kind() == reflect.Ptr
				if !isPtr {
					fieldType = reflect.PtrTo(fieldType)
				}
				elems := reflect.MakeSlice(reflect.SliceOf(fieldType), 0, 10)
				distinctElems := reflect.MakeSlice(reflect.SliceOf(fieldType), 0, 10)
				joins := reflect.MakeSlice(reflect.SliceOf(reflect.PtrTo(rel.JoinTable.ModelType)), 0, 10)
				objs := []reflect.Value{}

				appendToJoins := func(obj reflect.Value, elem reflect.Value) {

}

// Determines the output type of the `SliceOp` when it is being inserted in
// place of a `XlaGatherOp`. When the dimensions of `xla_gather_op_output_type`
// is known, the `collapsed_dims` are restored. `xla_gather_op_output_type` is
// the result of collapsing the `collapsed_dims`, but the `SliceOp`'s output
// should not have the dimensions collapsed already. Returns

                mlir::stablehlo::ReshapeOp, mlir::stablehlo::SelectOp,
                mlir::stablehlo::SliceOp, mlir::stablehlo::TransposeOp>(op)) {
    scale_spec->has_same_scale_requirement = true;
  }
  if (llvm::isa<mlir::stablehlo::DynamicSliceOp, mlir::stablehlo::GatherOp,
                mlir::stablehlo::PadOp, mlir::stablehlo::SliceOp>(op)) {
    scale_spec->has_same_operand_and_result_type_requirement = true;
  }
  return scale_spec;

  slice_size[0] = 1;
  auto size_const = GetR1Const(slice_size, builder, loc);
  auto slice_type = tensorflow::GetTypeFromTFTensorShape(
      slice_size, buffer_type.getElementType());
  auto slice = builder.create<TF::SliceOp>(
      loc, ArrayRef<Type>{slice_type},
      ArrayRef<Value>{buffer, GetIndicesForElement(index, buffer, builder, loc),
                      size_const});
  if (keep_slice_shape) return slice;