The new [Encode] and [Decode] functions are byte slice equivalents
to [Read] and [Write].

// flatbuffer generated code from schema v3. They serve as overloads for the
// v3a's CreateOperatorCode functions in schema_generated.h and enable code that
// still assumes flatbuffer schema v3 to be unchanged with the inclusion of the
// schema_utils header.
// TODO(b/162392898): remove once all callers are updated to use schema v3a
// functions.

flatbuffers::Offset<OperatorCode> CreateOperatorCode(

					leaf = line.Function.Name
				}
			}
			// runtime.sigprof synthesizes call stacks when "normal traceback is
			// impossible or has failed", using particular placeholder functions
			// to represent common failure cases. Look for those functions in
			// the leaf position as a sign that the call stack and its
			// symbolization are more complex than this test can handle.
			//

    mlir::ModuleOp module, const GraphExportConfig& configs);

// Converts an MLIR module to TensorFlow graph and FunctionLibraryDefinition.
// The "main" function of the module is stored in the graph and the rest of
// functions are stored in the library. Control ret nodes are stored separately
// in `control_ret_nodes`.
Status ConvertMlirToGraph(mlir::ModuleOp module,
                          const GraphExportConfig& configs,

/**
 * [KaAnalysisPermissionRegistry] stores settings required by permission functions such as [forbidAnalysis], [allowAnalysisOnEdt], and
 * [allowAnalysisFromWriteAction].
 *
 * [KaAnalysisPermissionRegistry] is an *application service* because we want users to call permission functions without having to pass a
 * project, which would be required if this class was a project service.
 */

	flags bitset16

	// ABI is a function's "definition" ABI. This is the ABI that
	// this function's generated code is expecting to be called by.
	//
	// For most functions, this will be obj.ABIInternal. It may be
	// a different ABI for functions defined in assembly or ABI wrappers.
	//
	// This is included in the export data and tracked across packages.
	ABI obj.ABI

     * For regular classes, implicit default constructor is generated
     * For data classes the `copy`, `component{N}`, `toString`, `equals`, `hashCode` functions are generated
     * For enum classes the `valueOf` & `values` functions are generated
     * For lambda the `it` implicit parameter is generated
     */
    SOURCE_MEMBER_GENERATED,

    /**
     * A Kotlin declaration came from some .class file

namespace mlir::quant {

// This attribute will be set for functions created by this pass.
// Presence of this attribute will mark the function as quantization target.
inline constexpr StringRef kFusedFunctionAttr = "tf_quant.composite_function";
// The keyword to detect if this is a `NullAttribute`.
inline constexpr StringRef kNullAttributeValue = "N/A";

// Prefixes attached to lifted functions.
constexpr StringRef kQuantizedFuncPrefix = "quantized_";

    mlir::ModuleOp module, const GraphExportConfig& configs);

// Converts an MLIR module to TensorFlow graph and FunctionLibraryDefinition.
// The "main" function of the module is stored in the graph and the rest of
// functions are stored in the library. Control ret nodes are stored separately
// in `control_ret_nodes`.
Status ConvertMlirToGraph(mlir::ModuleOp module,
                          const GraphExportConfig& configs,

std::unique_ptr<OperationPass<ModuleOp>> CreateResourceDeviceInferencePass();

// Creates a pass that promotes resource reads/writes in `functions` to inputs
// and outputs of `functions`, assuming that resource operations have already
// been decomposed and function calls have already been inlined. If `functions`
// is empty, the pass is applied to the main function by default. The pass also