native_cuda_compute_capabilities = get_native_cuda_compute_capabilities(
        environ_cp)
    if not native_cuda_compute_capabilities:
      default_cuda_compute_capabilities = _DEFAULT_CUDA_COMPUTE_CAPABILITIES
    else:
      default_cuda_compute_capabilities = native_cuda_compute_capabilities

    ask_cuda_compute_capabilities = (
        'Please specify a list of comma-separated CUDA compute capabilities '

  TF_Status* s = TF_NewStatus();
  TF_OpKernelConstruction_GetAttrType(ctx, "foobar", &type, s);
  TF_DeleteStatus(s);
  return NULL;
}

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);

build:cross_compile_linux_arm64_xla --crosstool_top=//tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite

# RBE cross-compile configs for Linux Aarch64
build:rbe_cross_compile_linux_arm64 --config=cross_compile_linux_arm64
build:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base
test:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base

# RBE cross-compile configs for XLA Linux Aarch64

 * jar if it has been built, or only compile output directory if packaging hasn't happened yet.
 *
 */
@Named(ReactorReader.HINT)
@SessionScoped
class ReactorReader implements MavenWorkspaceReader {
    public static final String HINT = "reactor";

    public static final String PROJECT_LOCAL_REPO = "project-local-repo";

    private static final Collection<String> COMPILE_PHASE_TYPES = new HashSet<>(

 * not necessarily the case for declaration providers (e.g. the IDE declaration provider hitting the index without caching).
 *
 * However, since symbol names providers may not be able to compute name sets per their contract, we may have to fall back to the
 * [declaration provider][org.jetbrains.kotlin.analysis.providers.KotlinDeclarationProvider].
 *

        List<LifecycleMojo> mojos = goals.getMojos();
        if (mojos != null) {
            for (int i = 0; i < mojos.size(); i++) {
                LifecycleMojo mojo = mojos.get(i);

                // Compute goal coordinates
                String groupId, artifactId, version, goal;
                String[] p = mojo.getGoal().trim().split(":");
                if (p.length == 3) {

      control_output_names_vec.push_back(string(control_output_names[i]));
    }
  }

  // Compute body nodes.
  std::vector<const Node*> body_nodes;
  status->status = tensorflow::ComputeBodyNodes(
      fn_body, fn_name, num_opers, opers, input_nodes, &body_nodes);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  // Compute body nodes.
  std::vector<const Node*> control_output_nodes;

                withSymbolAttachment("symbolForContainingPsi", analysisSession, symbol)
            }

        if (source.kind != KtRealSourceElementKind) {
            errorWithAttachment("Cannot compute containing PSI for unknown source kind '${source.kind}' (${psi::class.simpleName})") {
                withSymbolAttachment("symbolForContainingPsi", analysisSession, symbol)
            }
        }

      eachQueue@ for (queue in readyQueues) {
        val candidate = queue.futureTasks[0]
        val candidateDelay = maxOf(0L, candidate.nextExecuteNanoTime - now)

        when {
          // Compute the delay of the soonest-executable task.
          candidateDelay > 0L -> {
            minDelayNanos = minOf(candidateDelay, minDelayNanos)
            continue@eachQueue
          }

              ageSeconds = value.toNonNegativeInt(-1)
            }
          }
        }
      }
    }

    /** Returns a strategy to satisfy [request] using [cacheResponse]. */
    fun compute(): CacheStrategy {
      val candidate = computeCandidate()

      // We're forbidden from using the network and the cache is insufficient.
      if (candidate.networkRequest != null && request.cacheControl.onlyIfCached) {