}

// 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. */

			// 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

			}
		}
		// 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 {

    // 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);
  }
}

			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 output
	}

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

	deleteList := toNames(objectsToDelete)

                            logger.warn("  " + unsafePlugin.getId());
                        }
                        logger.warn("");
                        logger.warn("Enable verbose output (-X) to see precisely which goals are not marked as"
                                + " thread-safe.");
                    }
                    logger.warn(MultilineMessageHelper.separatorLine());
                }

    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"],

    val ping = peer.takeFrame()
    assertThat(ping.type).isEqualTo(Http2.TYPE_PING)
  }

  /**
   * Test that the client sends a RST_STREAM if doing so won't disrupt the output stream.
   */
  @Test fun clientClosesClientInputStream() {
    // Write the mocking script.
    peer.sendFrame().settings(Settings())
    peer.acceptFrame() // ACK
    peer.acceptFrame() // SYN_STREAM