func maxSizeTrampolines(ctxt *Link, ldr *loader.Loader, s loader.Sym, isTramp bool) uint64 {
	// If thearch.Trampoline is nil, then trampoline support is not available on this arch.
	// A trampoline does not need any dependent trampolines.
	if thearch.Trampoline == nil || isTramp {
		return 0
	}

	n := uint64(0)
	relocs := ldr.Relocs(s)
	for ri := 0; ri < relocs.Count(); ri++ {
		r := relocs.At(ri)

   * upon deserialization. An instance of this class is fit for use by the writeReplace of
   * LocalManualCache.
   *
   * <p>Unfortunately, readResolve() doesn't get called when a circular dependency is present, so
   * the proxy must be able to behave as the cache itself.
   */
  static class ManualSerializationProxy<K, V> extends ForwardingCache<K, V>
      implements Serializable {

   * upon deserialization. An instance of this class is fit for use by the writeReplace of
   * LocalManualCache.
   *
   * <p>Unfortunately, readResolve() doesn't get called when a circular dependency is present, so
   * the proxy must be able to behave as the cache itself.
   */
  static class ManualSerializationProxy<K, V> extends ForwardingCache<K, V>
      implements Serializable {

async def run_endpoint_function(
    *, dependant: Dependant, values: Dict[str, Any], is_coroutine: bool
) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:

                          : mlir::func::FuncOp::Visibility::Private;
    func.setVisibility(visibility);
  }
}

// Reorder the ops in the module to make testing easier and less dependent
// on implementation details such as the order of functions in the
// FunctionDefLibrary.
//
// The order this ensures is:
// 1. GlobalTensorOp's
// 2. FuncOps's.
//

            Doc(
                """
                A dictionary with overrides for the dependencies.

                Each key is the original dependency callable, and the value is the
                actual dependency that should be called.

                This is for testing, to replace expensive dependencies with testing
                versions.

                Read more about it in the

  TF_EXPECT_GRAPH_EQ(graphdef_expected, graphdef);
  TF_EXPECT_FUNCTIONDEFLIBRARY_EQ(library_expected, library);
}

// Test with two functions to transform, each with one outside_compilation
// cluster, with the dependency between them purely from an outside_compilation
// edge.
TEST(EncapsulateSubgraphsTest, TwoFunctionsTwoOutsideDependencyFromOutside) {
  FunctionDefLibrary library;
  GraphDef graphdef;

  {

Method <org.gradle.plugins.ide.idea.model.Dependency.getScope()> does not have raw return type assignable to org.gradle.api.provider.Property in (Dependency.java:0)
Method <org.gradle.plugins.ide.idea.model.IdeaLanguageLevel.getLevel()> does not have raw return type assignable to org.gradle.api.provider.Property in (IdeaLanguageLevel.java:0)

  // Treat missing device attribute like unspecified (= empty string) attribute.
  // Note that different op instances with the same string (including empty
  // string) are seen as dependent (same resource instance).
  if (!device_attr) return "";
  return device_attr.str();
}

//===----------------------------------------------------------------------===//
// NotEqualOp

//    goroutine can be out of work the very next moment, we will need to park it.
//    Also, it would destroy locality of computation as we want to preserve
//    dependent goroutines on the same thread; and introduce additional latency.
// 3. Unpark an additional thread whenever we ready a goroutine and there is an
//    idle P, but don't do handoff. This would lead to excessive thread parking/