// license that can be found in the LICENSE file.

package os

import (
	"internal/filepathlite"
	"syscall"
	"time"
)

// These constants aren't in the syscall package, which is frozen.
// Values taken from golang.org/x/sys/unix.
const (
	_S_IFNAM  = 0x5000
	_S_IFDOOR = 0xd000
	_S_IFPORT = 0xe000
)

func fillFileStatFromSys(fs *fileStat, name string) {
	fs.name = filepathlite.Base(name)

// `checkpoint_dir`. `checkpoint_dir` will be created within this function. It
// will return a non-OK status if it already exists or permission is denied.
// TODO(b/261652258): Make sure this works for when there are non-frozen
// variables in the model.
absl::Status UnfreezeConstantsAndSaveVariables(
    const absl::string_view checkpoint_dir, mlir::MLIRContext &ctx,
    mlir::ModuleOp module_op) {
  TF_RETURN_IF_ERROR(RunPasses(

  // 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;

// 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.

    // 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) {

// It also implements the following extensions:
//
//	8BITMIME  RFC 1652
//	AUTH      RFC 2554
//	STARTTLS  RFC 3207
//
// Additional extensions may be handled by clients.
//
// The smtp package is frozen and is not accepting new features.
// Some external packages provide more functionality. See:
//
//	https://godoc.org/?q=smtp
package smtp

import (
	"crypto/tls"
	"encoding/base64"
	"errors"
	"fmt"

  // This decomposes resource ops like ResourceGather into read-variable op
  // followed by gather. This is used when the saved model import path is used
  // during which resources don't get frozen in the python layer.
  pass_manager->addNestedPass<mlir::func::FuncOp>(
      mlir::TFDevice::CreateDecomposeResourceOpsPass());

  pass_manager->addPass(mlir::TF::CreateTFRegionControlFlowToFunctional());
}