* Implementations must support such concurrent calls.
   *
   * Note that cancellation is best-effort and that a call may proceed normally after it has been
   * canceled. For example, happy-path events like [requestHeadersStart] and [requestHeadersEnd] may
   * occur after a call is canceled. Typically cancellation takes effect when an expensive I/O
   * operation is required.
   *

        "//tensorflow/c:safe_ptr",
        "//tensorflow/c:tf_status_internal",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:tfe_cancellation_manager_internal",
        "//tensorflow/c/eager:tfe_op_internal",
        "//tensorflow/c/eager:tfe_tensorhandle_internal",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",

  CancellationManager cancellation_manager;
  parallel_device.StartExecute(context.get(), std::vector<ParallelTensor*>(),
                               "VarHandleOp", TFE_OpGetAttrs(handle_op.get()),
                               /*expected_max_outputs=*/1,
                               cancellation_manager);
  auto outputs = parallel_device.Join(

    ],
    deps = [
        ":immediate_execution_context",
        "//tensorflow/c:conversion_macros",
    ],
)

cc_library(
    name = "tfe_cancellation_manager_internal",
    hdrs = ["tfe_cancellation_manager_internal.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c:conversion_macros",
        "//tensorflow/core:framework",

    TFE_CancellationManager*);

// Associates the given `cancellation_manager` with `op`, so that invoking
// `TFE_CancellationManagerStartCancel(cancellation_manager)` will cancel the
// execution of `op`.
typedef struct TFE_CancellationManager TFE_CancellationManager;
TF_CAPI_EXPORT extern void TFE_OpSetCancellationManager(
    TFE_Op* op, TFE_CancellationManager* cancellation_manager,
    TF_Status* status);

 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.
 * Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *

    }
    inputFuture = null;

    if (localInputFuture.isCancelled()) {
      @SuppressWarnings("unchecked")
      boolean unused =
          setFuture((ListenableFuture<O>) localInputFuture); // Respects cancellation cause setting
      return;
    }

    /*
     * Any of the setException() calls below can fail if the output Future is cancelled between now

		{
			[]error{
				errFileNotFound, errFileNotFound, errFileNotFound,
				errFileNotFound, errFileNotFound, nil, nil, nil, nil, nil,
			},
			nil, nil,
		},
		// Checks if wrapped context cancellation errors are grouped as one.
		{canceledErrs, nil, context.Canceled},
	}
	// Validates list of all the testcases for returning valid errors.
	for i, testCase := range testCases {

 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.
 * Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *

	errorCounts := make(map[error]int)
	for _, err := range errs {
		if IsErrIgnored(err, ignoredErrs...) {
			continue
		}
		// Errors due to context cancellation may be wrapped - group them by context.Canceled.
		if errors.Is(err, context.Canceled) {
			errorCounts[context.Canceled]++
			continue
		}
		errorCounts[err]++
	}

	max := 0