* compatibility guarantees made by its containing library. Note that the presence of this
 * annotation implies nothing about the quality or performance of the API in question, only the fact
 * that it is not "API-frozen."
 *
 * <p>It is generally safe for <i>applications</i> to depend on beta APIs, at the cost of some extra
 * work during upgrades. However it is generally inadvisable for <i>libraries</i> (which get

	"internal/syscall/unix"
	"sync"
	"syscall"
)

var (
	mptcpOnce      sync.Once
	mptcpAvailable bool
	hasSOLMPTCP    bool
)

// These constants aren't in the syscall package, which is frozen
const (
	_IPPROTO_MPTCP = 0x106
	_SOL_MPTCP     = 0x11c
	_MPTCP_INFO    = 0x1
)

func supportsMultipathTCP() bool {
	mptcpOnce.Do(initMPTCPavailable)
	return mptcpAvailable
}

  // post-training quantization.
  bool disable_infer_tensor_range = false;

  // Whether to use the unfrozen variable quantization in MLIR. Typically,
  // variables are frozen for passing passes, but some variables aren't frozen.
  // If it is true, QuantizeVariables pass will be added after the
  // PrepareQuantizePass.
  bool enable_mlir_variable_quantization = false;

	serviceReloadDynamic                      // Reload dynamic config values.
	serviceFreeze                             // Freeze all S3 API calls.
	serviceUnFreeze                           // Un-Freeze previously frozen S3 API calls.
	// Add new service requests here.
)

// Global service signal channel.
var globalServiceSignalCh = make(chan serviceSignal)

// Background info:
// Currently the model taken to MLIRConverter is frozen (all the variables have
// been converted to constants, all the assign ops are gone, etc.). However,
// TFLite has these variable tensors semantics. So the variable mapping from TF
// to TFLite is actually broken here, we sort of hard-code the variable tensors
// based on the actual ops using them, such as unidirectional_sequence_lstm.

            <y:PreferredPlacementDescriptor angle="0.0" angleOffsetOnRightSide="0" angleReference="absolute" angleRotationOnRightSide="co" distance="-1.0" frozen="true" placement="anywhere" side="on_edge" sideReference="relative_to_edge_flow"/>
          </y:EdgeLabel>
          <y:BendStyle smoothed="false"/>
        </y:PolyLineEdge>
      </data>
    </edge>
  </graph>

    // processed.
    for (auto it : remove_operands) {
      it.first->eraseOperands(it.second);
    }

    func.eraseArguments(args_to_erase);
  }

  // Erase all global tensors that were frozen.
  for (auto global_tensor : frozen_global_tensors) {
    remaining_global_tensor_ops.erase(global_tensor);
    global_tensor->erase();
  }

  // Verify that there are no remaining global tensors.

// servemux121.go exists solely to provide a snapshot of
// the pre-Go 1.22 ServeMux implementation for backwards compatibility.
// Do not modify this file, it should remain frozen.

import (
	"internal/godebug"
	"net/url"
	"sort"
	"strings"
	"sync"
)

var httpmuxgo121 = godebug.New("httpmuxgo121")

var use121 bool

// tensors with fill op.
std::unique_ptr<OperationPass<ModuleOp>> CreateUnfoldLargeSplatConstantPass();

// Creates a pass that adds control dependencies to keep the relative execution
// order of operations with side effects frozen.
std::unique_ptr<OperationPass<func::FuncOp>> CreatePinOpsWithSideEffectsPass();

// Legalize TensorList Ops iff all of them are supported.
std::unique_ptr<OperationPass<ModuleOp>> CreateLegalizeTensorListPass();

  if (is_inliner_run) {
    pm_after_freezing_variables.addPass(mlir::createInlinerPass());
  }
  if (run_tf_to_stablehlo) {
    // AddLegalizeTFToStablehloPasses expects frozen TF variables when
    // legalizing to stablehlo.constant.
    AddTFToStablehloPasses(pm_after_freezing_variables, input_arg_shapes);
  }

  if (deserialize_xla_call_module) {