secretPaths = secretPaths.Difference(excludedSecretPaths)
	if missingPaths := expectedSecretPaths.Difference(secretPaths); len(missingPaths) > 0 {
		t.Logf("Missing expected secret paths:\n%s", strings.Join(sets.List[string](missingPaths), "\n"))
		t.Error("Missing expected secret paths. Verify VisitPodSecretNames() is correctly finding the missing paths, then correct expectedSecretPaths")
	}

				if gotOK != wantOK {
					t.Errorf("Expected err to be FitError: %v, but got %v (error: %v)", wantOK, gotOK, err)
				} else if gotOK {
					if diff := cmp.Diff(wantFitErr, gotFitErr); diff != "" {
						t.Errorf("Unexpected fitErr: (-want, +got): %s", diff)
					}
				}
			}
			if test.wantNodes != nil && !test.wantNodes.Has(result.SuggestedHost) {
				t.Errorf("Expected: %s, got: %s", test.wantNodes, result.SuggestedHost)

      !(axis == -1 || (axis >= 0 && axis <= indices_ty.getShape().size()))) {
    return op.emitOpError()
           << "expected axis (" << axis << ") to be -1 or between [0, "
           << indices_ty.getShape().size() << "]";
  }

  if (axis < -1) {
    return op.emitOpError() << "expected axis (" << axis
                            << ") to be -1 or between [0, rank(indices()))";
  }

// a pod. This method is reentrant and expected to converge a pod towards the
// desired state of the spec. The reverse (teardown) is handled in
// SyncTerminatingPod and SyncTerminatedPod. If SyncPod exits without error,
// then the pod runtime state is in sync with the desired configuration state
// (pod is running). If SyncPod exits with a transient error, the next
// invocation of SyncPod is expected to make progress towards reaching the

				podReasonUpdate = true
				if updateReason != item.expectedReason {
					t.Errorf("expected pod status reason: %+v, got %+v for %+v", item.expectedReason, updateReason, item.description)
				}
			}
		}

		if podReasonUpdate != item.expectedPodUpdate {
			t.Errorf("expected pod update: %+v, got %+v for %+v", item.expectedPodUpdate, podReasonUpdate, item.description)
		}
	}
}

           << "found invalid output dimension on row, expected "
           << expected_out_row_dim << " but got " << out_row_dim;
  if (expected_out_col_dim != ShapedType::kDynamic &&
      out_col_dim != ShapedType::kDynamic &&
      out_col_dim != expected_out_col_dim)
    return op.emitOpError()
           << "found invalid output dimension on col, expected "
           << expected_out_col_dim << " but got " << out_col_dim;

			t.Errorf("preFilter1 called %v, expected: 1", preFilter1.PreFilterCalled)
		}
		if preFilter2.PreFilterCalled != 1 {
			t.Errorf("preFilter2 called %v, expected: 1", preFilter2.PreFilterCalled)
		}
		if preFilter2.AddCalled != 1 {
			t.Errorf("AddPod called %v, expected: 1", preFilter2.AddCalled)
		}
		if preFilter2.RemoveCalled != 1 {
			t.Errorf("AddPod called %v, expected: 1", preFilter2.RemoveCalled)
		}
	})

module attributes {tf.versions = {producer = 888 : i32}, tf.devices = ["/job:worker/replica:0/task:0/device:CPU:0", "/job:worker/replica:0/task:0/device:TPU_SYSTEM:0", "/job:worker/replica:0/task:0/device:TPU:0"]} {
  // expected-error @+2 {{result with a non-XLA type}}
  func.func @non_XLA_result() {
    %cluster = "tf_device.cluster"() ({
      %a = "tf.A"() : () -> tensor<!tf_type.string>
      tf_device.return %a : tensor<!tf_type.string>

    func.return %0, %1 : tensor<1x2x3xf32>, tensor<3xf32>
  }

  // CHECK-LABEL: func @reused_if_then_branch
  // CHECK-SAME: (%arg0: tensor<*xf32>) -> tensor<*xf32>
  // expected-warning @+1 {{expected control flow function @reused_if_then_branch to have exactly 1 use}}
  func.func @reused_if_then_branch(%arg0: tensor<*xf32>) -> tensor<*xf32> {
    // CHECK: return
    // CHECK-SAME: tensor<*xf32>

	cases := []struct {
		input    string
		expected error
	}{
		{
			input:    "foo",
			expected: nil,
		},
		{
			input:    "%HOSTNAME%",
			expected: nil,
		},
		{
			input:    "100%%",
			expected: nil,
		},
		{
			input:    "prefix %HOSTNAME% suffix",
			expected: nil,
		},
		{