parameter of the `python_register_multi_toolchains` function.

3) In the `BUILD.bazel` file, add a load statement for the new version, e.g.

   ```
      load("@python//3.11:defs.bzl",
           compile_pip_requirements_3_11 = "compile_pip_requirements")
   ```

   Add a new entry for the loaded `compile_pip_requirements`, e.g.

   ```
      compile_pip_requirements_3_11(

==============================================================================*/

#include "tensorflow/compiler/jit/cluster_scoping_pass.h"

#include "absl/container/flat_hash_map.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/test_util.h"
#include "tensorflow/core/common_runtime/graph_constructor.h"
#include "tensorflow/core/common_runtime/graph_def_builder_util.h"

				// If the cancel variable is defined outside function scope,
				// do not analyze it.
				if funcScope.Contains(v.Pos()) {
					cancelvars[v] = stmt
				}
			} else if v, ok := pass.TypesInfo.Defs[id].(*types.Var); ok {
				cancelvars[v] = stmt
			}
		}
		return true
	})

	if len(cancelvars) == 0 {
		return // no need to inspect CFG
	}

	// Obtain the CFG.

#include <array>
#include <set>

#include "absl/memory/memory.h"
#include "absl/strings/numbers.h"
#include "absl/strings/str_split.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/compiler/jit/kernels/xla_ops.h"
#include "tensorflow/compiler/jit/xla_device.h"
#include "tensorflow/compiler/jit/xla_device_ops.h"

  // names to their corresponding nodes at load time in order to look them up
  // in constant time.
  tensorflow::StatusOr<const tensorflow::NodeDef*> GetGraphDefNode(
      std::string name);

  // Returns a list of function defs in the SavedModel.
  const protobuf::RepeatedPtrField<FunctionDef>& GetFunctionDefs();

  // Returns a BundleReader for reading variable values.
  //
  // This TFPackage retains ownership of the underlying reader.

	file, err := parser.ParseFile(fset, "codes.go", nil, parser.ParseComments)
	if err != nil {
		t.Fatal(err)
	}
	conf := Config{Importer: importer.Default()}
	info := &Info{
		Types: make(map[ast.Expr]TypeAndValue),
		Defs:  make(map[*ast.Ident]Object),
		Uses:  make(map[*ast.Ident]Object),
	}
	_, err = conf.Check("types", fset, []*ast.File{file}, info)
	if err != nil {
		t.Fatal(err)
	}
	for _, decl := range file.Decls {

#include "tensorflow/compiler/jit/cluster_scoping_pass.h"

#include "absl/algorithm/container.h"
#include "absl/container/flat_hash_set.h"
#include "absl/strings/str_cat.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/xla_cluster_util.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/graph/algorithm.h"

namespace tensorflow {
namespace {

// flag to disable syntactic object resolution (which also saves CPU
// and memory), and instead use the type checker [go/types] if object
// resolution is desired. See the Defs, Uses, and Implicits fields of
// the [types.Info] struct for details.
type Object struct {
	Kind ObjKind
	Name string // declared name

}

func canonicalMethod(pass *analysis.Pass, id *ast.Ident) {
	// Expected input/output.
	expect, ok := canonicalMethods[id.Name]
	if !ok {
		return
	}

	// Actual input/output
	sign := pass.TypesInfo.Defs[id].Type().(*types.Signature)
	args := sign.Params()
	results := sign.Results()

	// Special case: WriteTo with more than one argument,
	// not trying at all to implement io.WriterTo,

	// entry-1, entry, entry+1, exit-1, and exit, exit+1.
	// entry and exit are conceptually the top of the block (phi functions)
	// entry+1 and exit-1 are conceptually the bottom of the block (ordinary defs)
	// entry-1 and exit+1 are conceptually "just before" the block (conditions flowing in)
	//
	// This simplifies life if we wish to query information about x
	// when x is both an input to and output of a block.