public void testIn_compilesWithExplicitSupertype() {
    Collection<Number> nums = ImmutableSet.of();
    Predicate<Number> p1 = Predicates.in(nums);
    Predicate<Object> p2 = Predicates.<Object>in(nums);
    // The next two lines are not expected to compile.
    // Predicate<Integer> p3 = Predicates.in(nums);
    // Predicate<Integer> p4 = Predicates.<Integer>in(nums);
  }

  @J2ktIncompatible
  @GwtIncompatible // NullPointerTester

  public void testIn_compilesWithExplicitSupertype() {
    Collection<Number> nums = ImmutableSet.of();
    Predicate<Number> p1 = Predicates.in(nums);
    Predicate<Object> p2 = Predicates.<Object>in(nums);
    // The next two lines are not expected to compile.
    // Predicate<Integer> p3 = Predicates.in(nums);
    // Predicate<Integer> p4 = Predicates.<Integer>in(nums);
  }

  @J2ktIncompatible
  @GwtIncompatible // NullPointerTester

		// Returns an empty int slice for cardinality < 0.
		return nil
	}

	nums := make([]int, cardinality)
	keyCrc := crc32.Checksum([]byte(key), crc32.IEEETable)

	start := int(keyCrc % uint32(cardinality))
	for i := 1; i <= cardinality; i++ {
		nums[i-1] = 1 + ((start + i) % cardinality)
	}
	return nums
}

// Reads all `xl.meta` metadata as a FileInfo slice.

open class MyCustomTask : DefaultTask() {
    @TaskAction
    fun calculateSum() {
        // Custom logic to calculate the sum of two numbers
        val num1 = 5
        val num2 = 7
        val sum = num1 + num2

        // Print the result
        println("Sum: $sum")
    }
}
----
=====
[.multi-language-sample]
=====
.MyCustomTask.groovy
[source, groovy]
----

	// Check if int is preserved.
	unstructuredObj := gottenNoxuInstance.(*unstructured.Unstructured).Object
	num := unstructuredObj["num"].(map[string]interface{})
	num1 := num["num1"].(int64)
	num2 := num["num2"].(int64)
	if num1 != 9223372036854775807 || num2 != 1000000 {
		t.Errorf("Expected %v, got %v, %v", `9223372036854775807, 1000000`, num1, num2)
	}
}

func TestPatch(t *testing.T) {

  std::vector<int32_t> out_transpose;
  lhs_transpose.reserve(dnums.lhs_rhs_out.size() + dnums.lhs_out.size() +
                        dnums.lhs_rhs.size());
  rhs_transpose.reserve(dnums.lhs_rhs_out.size() + dnums.rhs_out.size() +
                        dnums.lhs_rhs.size());
  out_transpose.reserve(dnums.lhs_rhs_out.size() + dnums.lhs_out.size() +
                        dnums.rhs_out.size());
  // Generate transpose matrix for B0,...,Bn

  }

  xla::DotDimensionNumbers dnums;
  for (int i : llvm::seq<int32_t>(0, num_batch_dim)) {
    dnums.add_lhs_batch_dimensions(i);
    dnums.add_rhs_batch_dimensions(i);
  }
  dnums.add_rhs_contracting_dimensions(num_batch_dim);
  if (adj_x.getValue()) {
    dnums.add_lhs_contracting_dimensions(num_batch_dim);
  } else {
    dnums.add_lhs_contracting_dimensions(num_batch_dim + 1);
  }

				},
			},
		},
		{
			name:          "Request 11 CPUs, 4 available on NUMA 0, 6 available on NUMA 1",
			pod:           *testPod4,
			container:     *testContainer4,
			defaultCPUSet: cpuset.New(2, 3, 4, 5, 6, 7, 8, 9, 10, 11),
			expectedHints: nil,
		},
		{
			name:          "Request 2 CPUs, 1 available on NUMA 0, 1 available on NUMA 1",
			pod:           *testPod1,
			container:     *testContainer1,

        &dnums_input) {
  xla::ConvolutionDimensionNumbers dnums;
  dnums.set_input_batch_dimension(dnums_input.input_batch_dimension());
  dnums.set_input_feature_dimension(dnums_input.input_feature_dimension());
  for (auto value : dnums_input.input_spatial_dimensions()) {
    dnums.add_input_spatial_dimensions(value);
  }
  dnums.set_kernel_input_feature_dimension(
      dnums_input.kernel_input_feature_dimension());

<img src="/img/tutorial/path-params/image03.png">

### Mit Python-*<abbr title="Enumeration – Aufzählung">Enums</abbr>* arbeiten

Der *Pfad-Parameter* wird ein *<abbr title="Member – Mitglied: Einer der möglichen Werte einer Enumeration">Member</abbr> eines Enums* sein.

#### *Enum-Member* vergleichen

Sie können ihn mit einem Member Ihres Enums `ModelName` vergleichen:

```Python hl_lines="17"
{!../../../docs_src/path_params/tutorial005.py!}