}

// Specification for an expected edge.
// src is either:
// - input name (as it appears in FunctionDef)
// - name of output tensor (in nested "add:z:0" format)
// dst is either:
// - output name (as it appears in FunctionDef)
// - <name_of_node>:<index_of_this_input_into_node> (this looks the same as
//      output tensor naming, but it the index is actually an input index)
struct EdgeSpec : public std::pair<string, string> {

//
// Note that when the same TF_Output is listed as both an input and an output,
// the corresponding function's output will equal to this input,
// instead of the original node's output.
//
// Callers must also satisfy the following constraints:
// - `inputs` cannot refer to TF_Outputs within a control flow context. For
//   example, one cannot use the output of "switch" node as input.

      ListenableFuture<V> future) {
    if (future.isDone()) {
      return future;
    }
    NonCancellationPropagatingFuture<V> output = new NonCancellationPropagatingFuture<>(future);
    future.addListener(output, directExecutor());
    return output;
  }

  /** A wrapped future that does not propagate cancellation to its delegate. */

			}
		}
		// 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 {

			// necessary. Test passes as expected, but the output values
			// are verified for correctness here.
			if err == nil && testCase.shouldPass {
				// The length of the expected ListObjectsResult.Objects
				// should match in both expected result from test cases
				// and in the output. On failure calling t.Fatalf,
				// otherwise it may lead to index out of range error in

    // Convert back to a C++ Tensor and ensure we get expected output.
    Tensor output;
    ASSERT_EQ(absl::OkStatus(), TF_TensorToTensor(dst, &output)) << line;
    ASSERT_EQ(src.NumElements(), output.NumElements()) << line;
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      ASSERT_EQ(data[i], output.flat<tstring>()(i)) << line;
    }

    TF_DeleteTensor(dst);
  }
}

* Show LASTSEEN, the sorting key, as the first column in `kubectl get event` output ([#27549](https://github.com/kubernetes/kubernetes/pull/27549), [@therc](https://github.com/therc))

		if _, ok := objectsToDelete[object]; !ok {
			objectsToDelete[object] = index
		}
	}

	toNames := func(input map[ObjectToDelete]int) (output []ObjectToDelete) {
		output = make([]ObjectToDelete, len(input))
		idx := 0
		for obj := range input {
			output[idx] = obj
			idx++
		}
		return
	}

	// Disable timeouts and cancellation
	ctx = bgContext(ctx)

    cmd = select({
        "//tensorflow:windows": """
              $(location @local_config_def_file_filter//:def_file_filter) \\
              --input $(location :tensorflow_def_file) \\
              --output $@
          """,
        "//conditions:default": "touch $@",  # Just a placeholder for Unix platforms
    }),
    tools = ["@local_config_def_file_filter//:def_file_filter"],

# Path to Python command.
python.command.path=python
# Encoding for file paths.
path.encoding=UTF-8
# Whether to use a dedicated temporary directory.
use.own.tmp.dir=true
# Maximum length of log output.
max.log.output.length=4000
# Adaptive load control value.
adaptive.load.control=50
# Supported JavaScript file extensions for upload.
supported.uploaded.js.extentions=js
# Supported CSS file extensions for upload.