handle.setType(resource_tensor_type);
      }
    }

    // Special type fixes for scalar tensor types.
    // TFLite flatbuffer schema doesn't distinguish scalar tensor shapes
    // and unranked tensor shapes (i.e. they are both represented as an empty
    // INT32 list), see b/138865275. MLIR importer conservatively treats them as

        MultiProjectCachedScripts(
            cachedSettingsFile(
                withSettings(
                    """
                    $settings
                    rootProject.name = "${projectRoot.name}" // distinguish settings files
                    include("right", "left")
                    """
                ),
                settings.contains("buildscript {"),
                true
            ),

// Setup iptables rules for HOST netnamespace. Ideally this should be an idempotent function.
// NOTE that this expects to be run from within the HOST network namespace!
//
// We need to do this specifically to be able to distinguish between traffic coming from different node-level processes
// via the nodeIP
// - kubelet (node-local healthchecks, which we do not capture)

	case MOV:
		// The 16-bit and 32-bit forms of MOV Sreg, dst and MOV src, Sreg
		// cannot be distinguished when src or dst refers to memory, because
		// Sreg is always a 16-bit value, even when we're doing a 32-bit
		// instruction. Because the instruction tables distinguished these two,
		// any operand size prefix has been marked as used (to decide which

// Finally, you are free to instantiate the pattern with the types you
// want.  If you put the above code in a header file, you can #include
// it in multiple C++ source files and instantiate it multiple times.
//
// To distinguish different instances of the pattern, the first
// argument to the INSTANTIATE_* macro is a prefix that will be added
// to the actual test case name.  Remember to pick unique prefixes for
// different instances.

     * StackOverflowError: We can't reliably call setException(error).
     *
     * - Any kind of Error from a listener. Even if we could distinguish that case (by exposing some
     * extra state from AbstractFuture), our options are limited: A call to setException() would be
     * a no-op. We could log, but if that's what we really want, we should modify

     * StackOverflowError: We can't reliably call setException(error).
     *
     * - Any kind of Error from a listener. Even if we could distinguish that case (by exposing some
     * extra state from AbstractFuture), our options are limited: A call to setException() would be
     * a no-op. We could log, but if that's what we really want, we should modify

     *
     * <p>
     * Unfortunately, this method cannot be split into two methods, one for {@link Dependency} and one for {@link DependencyConstraint},
     * because Groovy cannot distinguish between the two.
     * </p>
     *
     * @param dependencyOrDependencyConstraint dependency or dependency constraint to add
     */

           absl::StrCat(absl::Hex(pass_counter_++, absl::kZeroPad8)));
    }
  }

 private:
  // Dumps the given op. `name` is used as part of the filename to help
  // distinguish dumps at different passes.
  void Dump(absl::string_view name, mlir::Operation* op,
            std::string prefix = "") {
    static constexpr char kFiletypeSuffix[] = "mlir";

// Finally, you are free to instantiate the pattern with the types you
// want.  If you put the above code in a header file, you can #include
// it in multiple C++ source files and instantiate it multiple times.
//
// To distinguish different instances of the pattern, the first
// argument to the INSTANTIATE_* macro is a prefix that will be added
// to the actual test case name.  Remember to pick unique prefixes for
// different instances.