}
	output := b.String()
	if n := len(output); n > 0 && output[n-1] == '\n' {
		output = output[0 : n-1]
	}
	if output == "" {
		t.Fatalf("/bin/hostname produced no output")
	}

	return output
}

func testWindowsHostname(t *testing.T, hostname string) {
	cmd := testenv.Command(t, "hostname")
	out, err := cmd.Output()
	if err != nil {

		if re.Match(ln) {
			return true
		}
	}
	return false
}

// doGrep looks for a regular expression in a buffer and fails if it
// is not found. The name argument is the name of the output we are
// searching, "output" or "error". The msg argument is logged on
// failure.
func (tg *testgoData) doGrep(match string, b *bytes.Buffer, name, msg string) {
	tg.t.Helper()
	if !tg.doGrepMatch(match, b) {
		tg.t.Log(msg)

You have to define the task inputs and outputs manually.

2. Using a task as a copy source, i.e., as an argument to `from()`, won't create an automatic task dependency between your task and that copy source.
As such, if you use the `copy()` method as part of a task action, you must explicitly declare all inputs and outputs to get the correct behavior.

.Output of **`gradle assembleDependentsOperatorsPassingStaticLibrary --max-workers=1`**
----
> gradle assembleDependentsOperatorsPassingStaticLibrary --max-workers=1
include::{snippetsPath}/native-binaries/cunit/tests/assembleDependentComponents.out[]
----

In the output above, the targeted binary gets assembled as well as the test suite binary that depends on it.

  func.return %5#0, %5#1, %6 : tensor<?xi32>, tensor<?xi32>, tensor<?xf32>
}

// CHECK: [[CLUSTER:%.+]]:2 = "tf_device.cluster"
// CHECK: [[OUTPUT:%.+]]:2 = "tf.TPUPartitionedOutputV2"([[CLUSTER]]#0)
// CHECK: return [[OUTPUT]]#0, [[OUTPUT]]#1, [[CLUSTER]]#1

// -----

func.func @replica_mismatch(%arg0: tensor<?xi32>) {

}

// CHECK-LABEL: QuantizeWithoutNorm
func.func @QuantizeWithoutNorm(%arg0: tensor<1x1x5xf32>) -> tensor<*xf32> attributes {tf.entry_function = {inputs = "input0", outputs = "output24"}} {
  %none = "tfl.no_value"() {value = unit} : () -> none
  %input = "quantfork.stats"(%arg0) {layerStats = dense<[-1.2, 1.5]> : tensor<2xf32>} : (tensor<1x1x5xf32>) -> tensor<1x1x5xf32>

			}
		}
		// Test passes as expected, but the output values are verified for correctness here.
		if actualErr == nil && testCase.shouldPass {
			// Asserting whether the md5 output is correct.
			if testCase.inputMd5 != actualInfo.ETag {

// are actually run if the flag is provided.
GTEST_DECLARE_bool_(list_tests);

// This flag controls whether Google Test emits a detailed XML report to a file
// in addition to its normal textual output.
GTEST_DECLARE_string_(output);

// This flags control whether Google Test prints the elapsed time for each
// test.
GTEST_DECLARE_bool_(print_time);

// This flag specifies the random number seed.

  // Finds an edge source slot in the output graph. If the edge crosses a
  // subgraph boundary it is a slot on the output of a call node, otherwise it
  // is a slot on a node in the output graph.
  int FindOutputSlotOfEdgeSrc(const string& src_func_id,
                              const string& dst_func_id,
                              const Edge* edge);

  // Finds the image of an edge destination in the output graph. If the edge

  //
  // We don't track the output indices for should_revisit.  Instead, putting a
  // node in `should_revisit` denotes that the deadness flowing out from any
  // output from said node may have changed.  This is fine; only switches
  // propagate different deadness along different output edges, and since the
  // delta is solely due to the input *values* (and not input deadness), the