uses: actions/stale@6f05e4244c9a0b2ed3401882b05d701dd0a7289b # v7.0.0
        with:
          #Comma separated list of labels that can be assigned to issues to exclude them from being marked as stale
          exempt-issue-labels: 'override-stale'
          #Comma separated list of labels that can be assigned to PRs to exclude them from being marked as stale
          exempt-pr-labels: "override-stale"

				newPodEvent(watch.Added, "podRecyclerDeleted", v1.PodPending, ""),
				newEvent(v1.EventTypeNormal, "Successfully assigned recycler-for-podRecyclerDeleted to 127.0.0.1"),
				newPodEvent(watch.Deleted, "podRecyclerDeleted", v1.PodPending, ""),
			},
			expectedEvents: []mockEvent{
				{v1.EventTypeNormal, "Successfully assigned recycler-for-podRecyclerDeleted to 127.0.0.1"},
			},

            }
            is AssignmentTraceElement.RecordedAssignment -> {
                val assigned = trace.resolvedAssignments.getValue(element.lhs) as Assigned
                println("${element.lhs} := ${element.rhs} => ${assigned.objectOrigin}")
            }
        }
    }
}


fun printResolvedAssignments(result: ResolutionResult) {

    printResolvedAssignments(result)
}


class Tests {
    @Test
    fun `unit assigned to val is reported as an error`() {
        val result = schema.resolve("val x = plugins { }")
        assertTrue { result.errors.single().errorReason == ErrorReason.UnitAssignment }
    }

    @Test
    fun `unit assigned to property is reported as an error`() {
        val result = schema.resolve("plugins = plugins { }")

// RUN:        -split-input-file -tf-resource-analyzer-test %s \
// RUN:   | FileCheck %s

// TODO(b/269548549): Add tests to cover more patterns.

// Test that VarHandleOp is not marked as "potentially written" if it is not
// assigned inside the function called by "tf.BatchFunction".

module {
// CHECK-LABEL: @serving_default
  func.func @serving_default() -> (tensor<*xi32>) {

  }
  attr {
    key: "shape"
    value {
      shape {
      }
    }
  }
  attr {
    key: "shared_name"
    value {
      s: ""
    }
  }
}
node {
  name: "Variable/Assign"
  op: "Assign"
  input: "Variable"
  input: "Variable/initial_value"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "_class"
    value {
      list {

		ok = false
	}

	i = 12345
	c = 23456
	for i, c = range "" {
	}
	if i != 12345 {
		fmt.Println("range empty string assigned to index:", i)
		ok = false
	}
	if c != 23456 {
		fmt.Println("range empty string assigned to value:", c)
		ok = false
	}

	for _, c := range "a\xed\xa0\x80a" {
		if c != 'a' && c != utf8.RuneError {
			fmt.Printf("surrogate UTF-8 does not error: %U\n", c)

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

package p

func _() {
	const x = 0
	x /* ERROR "cannot assign to x" */ += 1
	x /* ERROR "cannot assign to x" */ ++

      if (auto device_attr = op->getAttrOfType<StringAttr>(kDeviceAttr)) {
        // We assign default device to ops with device attribute that is empty.
        if (device_attr.getValue().empty()) {
          op->setAttr(kDeviceAttr, builder.getStringAttr(default_device_));
        }
      } else if (op->getDialect() == tf) {
        // Assign default device to all ops in Tensorflow dialect that do not
        // have device attribute.

	missing := knownFunctions.Difference(functionNames)

	if len(unexpected) != 0 {
		t.Errorf("Expected all functions in the libraries to be assigned to a kubernetes release, but found the unexpected function names: %v", unexpected)
	}
	if len(missing) != 0 {
		t.Errorf("Expected all functions in the libraries to be assigned to a kubernetes release, but found the missing function names: %v", missing)
	}