if wantParens {
			ps.endScope(')')
		}
	} else {
		parenthesize(ps, t.Third)
	}
}

func (t *Trinary) Traverse(fn func(AST) bool) {
	if fn(t) {
		t.Op.Traverse(fn)
		t.First.Traverse(fn)
		t.Second.Traverse(fn)
		t.Third.Traverse(fn)
	}
}

func (t *Trinary) Copy(fn func(AST) AST, skip func(AST) bool) AST {
	if skip(t) {
		return nil
	}

	file := r.Form.Get("file")
	if len(file) == 0 {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInvalidRequest), r.URL)
		return
	}

	file = filepath.ToSlash(file)
	// Reject attempts to traverse parent or absolute paths.
	if hasBadPathComponent(volume) || hasBadPathComponent(file) {
		writeErrorResponse(r.Context(), w, errorCodes.ToAPIErr(ErrInvalidResourceName), r.URL)
		return
	}

  // Move onto the front of the module in reverse of the final desired order.
  for (auto func : llvm::reverse(private_funcs)) {
    func.getOperation()->moveBefore(&module.getBody()->front());
  }
  for (auto named_func : llvm::reverse(named_funcs)) {
    named_func.func.getOperation()->moveBefore(&module.getBody()->front());
  }
  for (auto named_global_tensor : llvm::reverse(named_global_tensors)) {

     * be read without locking. Next fields of nodes are immutable (final). All list additions are
     * performed at the front of each bin. This makes it easy to check changes, and also fast to
     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This
     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *

    tensorlist = worklist.top();
    worklist.pop();

    // TensorLists are semantically immutable. For example, TensorListSetItem
    // takes a TensorList as input and produces a TensorList as output. So to
    // traverse modifications to TensorList and verify that all elements written
    // to it have the same shape, we need to follow use-def chain of ops that
    // (conceptually) modify it i.e., ops that take an input TensorList and

     * be read without locking. Next fields of nodes are immutable (final). All list additions are
     * performed at the front of each bin. This makes it easy to check changes, and also fast to
     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This
     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *

  }];

  let arguments = (
    ins TFL_TensorOf<[F32, I32, I64]>:$input,
    TFL_I32Tensor:$axis,
    DefaultValuedOptionalAttr<BoolAttr, "false">:$exclusive,
    DefaultValuedOptionalAttr<BoolAttr, "false">:$reverse
  );

  let results = (outs TFL_TensorOf<[F32, I32, I64]>:$output);

  let hasOptions = 1;
}

def TFL_DepthwiseConv2DOp :

				"example.org:80": {"example.org"},
			},
			expectedHTTPRoutes:    map[string]int{"example.org:80": 4},
			redirect:              true,
			expectStatefulSession: true,
		},
		{
			name:            "reverse merging of virtual services when tls redirect is set",
			virtualServices: []config.Config{virtualService, virtualServiceCopy},
			gateways:        []config.Config{httpGateway, httpRedirectGateway},

func.func @cumsum(%arg0: tensor<3x3xf32>, %arg1: tensor<i32>) -> tensor<3x3xf32> {
  %0 = "tf.Cumsum"(%arg0, %arg1) {exclusive = false, reverse = false} : (tensor<3x3xf32>, tensor<i32>) -> tensor<3x3xf32>
  func.return %0 : tensor<3x3xf32>
  // CHECK-LABEL: cumsum
  // CHECK: "tfl.cumsum"(%arg0, %arg1) <{exclusive = false, reverse = false}> : (tensor<3x3xf32>, tensor<i32>) -> tensor<3x3xf32>
}

	pods := []*v1.Pod{
		podWithUIDNameNsSpec("123456789", "newpod", "foo", spec),
		podWithUIDNameNsSpec("987654321", "oldpod", "foo", spec),
	}
	// Make sure the Pods are in the reverse order of creation time.
	pods[1].CreationTimestamp = metav1.NewTime(time.Now())
	pods[0].CreationTimestamp = metav1.NewTime(time.Now().Add(1 * time.Second))
	// The newer pod should be rejected.
	notfittingPod := pods[0]