left, right *Tree[K, V]
	key         K
	value       V
}

func (t *Tree[K, V]) walk(yield func(key K, val V) bool) bool {
	return t == nil || t.left.walk(yield) && yield(t.key, t.value) && t.right.walk(yield)
}

func (t *Tree[K, V]) Walk(yield func(key K, val V) bool) {
	t.walk(yield)
}

// walk tree t in-order
var t Tree[string, int]
for k, v := range t.Walk {
	// process k, v

Using resources from dependencies with `yield` in background tasks is no longer supported.

This change is what supports the new features, read below. 🤓

### Dependencies with `yield`, `HTTPException` and Background Tasks

Dependencies with `yield` now can raise `HTTPException` and other exceptions after `yield`. 🎉

								"field1": {
									Type: "integer",
								},
								"field2": {
									Type: "integer",
								},
							},
							XValidations: apiextensions.ValidationRules{
								{
									Rule: "self.field1 < self.field2",
								},
							},
							Default: jsonPtr(map[string]interface{}{"field1": 1, "field2": 2}),
						},
					},
				},

(ka={},ka[T.comment]=!0,ka));function gp(i){return{line:i[A.FIELDS.START_LINE],column:i[A.FIELDS.START_COL]}}function yp(i){return{line:i[A.FIELDS.END_LINE],column:i[A.FIELDS.END_COL]}}function bt(i,e,t,r){return{start:{line:i,column:e},end:{line:t,column:r}}}function It(i){return bt(i[A.FIELDS.START_LINE],i[A.FIELDS.START_COL],i[A.FIELDS.END_LINE],i[A.FIELDS.END_COL])}function Ca(i,e){if(!!i)return bt(i[A.FIELDS.START_LINE],i[A.FIELDS.START_COL],e[A.FIELDS.END_LINE],e[A.FIELDS.END_COL])}function...

    %2 = "tf.Log"(%arg0) : (tensor<f32>) -> tensor<f32>
    // CHECK: mhlo.return [[VAL2]]
    "tf.Yield"(%2) : (tensor<f32>) -> ()
  }, {
    // CHECK: [[VAL3:%.+]] = mhlo.exponential [[ARG1]]
    %2 = "tf.Exp"(%arg1) : (tensor<f32>) -> tensor<f32>
    // CHECK: mhlo.return [[VAL3]]
    "tf.Yield"(%2) : (tensor<f32>) -> ()
  // CHECK: }) : (tensor<i1>) -> tensor<f32>

    "tf.Yield"(%72) : (tensor<i1>) -> ()
  },  {
    %72 = "func.call"(%19, %17, %4) {callee = @RaggedFromNestedRowSplits_RaggedFromRowSplits_RowPartitionFromRowSplits_assert_equal_1_Assert_AssertGuard_false_27780} : (tensor<i1>, tensor<i64>, tensor<i64>) -> tensor<i1>
    "tf.Yield"(%72) : (tensor<i1>) -> ()
  }) {is_stateless = false} : (tensor<i1>) -> tensor<i1>

// CHECK:            "tf.Yield"(%[[LESS_0]]) : (tensor<i1>) -> ()
// CHECK:          },  {
// CHECK:          ^bb0(%arg0: tensor<i32>, %arg1: tensor<i32>, %arg2: tensor<i32>):
// CHECK:            %[[ADDV2_0:.*]] = "tf.AddV2"(%arg0, %arg1) : (tensor<i32>, tensor<i32>) -> tensor<i32>
// CHECK:            "tf.Yield"(%[[ADDV2_0]], %arg1, %arg2) : (tensor<i32>, tensor<i32>, tensor<i32>) -> ()

- [`KT-42962`](https://youtrack.jetbrains.com/issue/KT-42962) False positive "ACCIDENTAL_OVERRIDE" when field name annotated with `@JvmField` conflicts with getter/setter from Java
- [`KT-49507`](https://youtrack.jetbrains.com/issue/KT-49507) JVM: "IllegalAccessError: class X tried to access private field" with same-named Kotlin property and Java base class field