}
  }
  OpBuilder::atBlockEnd(&island_body)
      .create<YieldOp>(new_island.getLoc(), yield_operands);

  // remap results of the new islands to the user outside of the island.
  int current_result = 0;
  Value control = new_island.getControl();
  for (IslandOp island : islands) {
    YieldOp yield_op = island.GetYield();
    for (const auto& idx_result : llvm::enumerate(island.getOutputs())) {

  auto while_input_types = dataset_while.getOperandTypes();
  cond_block->addArguments(
      while_input_types, SmallVector<Location>(while_input_types.size(), loc));
  builder.create<YieldOp>(loc, cond_block->getArgument(0));
}

// Create an IfRegionOp with a predicate from `optional_has_value`.  If true, it
// uses `get_next` to get the next value and calls `reduce_func`.  `body_args`

  regions accept the current value of the iteration variables as inputs.

  The condition region yields a tensor<i1> which, if false, will exit the loop.
  It can also, optionally and additionally, yield the iteration variables, which
  must be unchanged.

  The body region always has to yield the (possibly updated) iteration variables.

  The iteration variables are initialized to the Op input, and the results of the

  def _simple_model_data_gen(self) -> repr_dataset.RepresentativeDataset:
    """Creates an interable of representative samples.

    Yields:
      Representative samples, which is basically a mapping of: input key ->
      input value.
    """
    for _ in range(8):
      yield {
          'input_tensor': ops.convert_to_tensor(
              np.random.uniform(low=0, high=150, size=(1, 4)).astype('f4')
          ),

      %3 = "tf_device.cluster"() ({
        %4 = "tf.B"(%2) : (tensor<?xi32>) -> tensor<?xi32>
        tf_device.return %4 : tensor<?xi32>
      }) {} : () -> tensor<?xi32>

      // CHECK: tf_executor.yield %[[CLUSTER_OUTPUT]]
      tf_executor.yield %3 : tensor<?xi32>
    }
    tf_executor.fetch %1#0 : tensor<?xi32>
  }
  func.return %0 : tensor<?xi32>
}

// CHECK: func private @[[CLUSTER]]

				break
			}
			iterChans[0] <- i
		}
	}()
	wg.Wait()

	// End of traced execution.
	trace.Stop()
}

func pullRange(n int) intIter {
	next, stop := iter.Pull(func(yield func(v int) bool) {
		for i := range n {
			yield(i)
		}
	})
	return intIter{next: next, stop: stop}
}

type intIter struct {
	next func() (int, bool)
	stop func()

        	apiextensions_apiserver_validation_ratcheting_seconds_sum 5e-09
        	apiextensions_apiserver_validation_ratcheting_seconds_count 5
			`,
			iters: 5,
		},
		{
			desc: "valid change yields no metrics",
			obj: &unstructured.Unstructured{
				Object: map[string]interface{}{
					"foo": "bar",
				},
			},
			old: &unstructured.Unstructured{
				Object: map[string]interface{}{

                .assertHasLineNumber(4)
    }

    @Issue("https://github.com/gradle/gradle/issues/14984")
    def "referencing a non-existing closure-taking method yields a helpful error message"() {
        buildFile << """
            plugins {
                id("java")
            }

            java {
                toolchains { // should be toolchain

			}
			ev++
			cnt++
		}
		if cnt != size {
			t.Errorf("read %d values expected %d", cnt, size)
		}
	}
}

func testSeq(yield func(int) bool) {
	for i := 0; i < 10; i += 2 {
		if !yield(i) {
			return
		}
	}
}

var testSeqResult = []int{0, 2, 4, 6, 8}

func TestAppendSeq(t *testing.T) {
	s := AppendSeq([]int{1, 2}, testSeq)

			t.Errorf("Values(%v) = %v, want %v", m, got, want)
		}
	}
}

func TestInsert(t *testing.T) {
	got := map[int]int{
		1: 1,
		2: 1,
	}
	Insert(got, func(yield func(int, int) bool) {
		for i := 0; i < 10; i += 2 {
			if !yield(i, i+1) {
				return
			}
		}
	})

	want := map[int]int{
		1: 1,
		2: 1,
	}
	for i, v := range map[int]int{
		0: 1,
		2: 3,
		4: 5,
		6: 7,
		8: 9,