}

// Convert_kubeadm_DNS_To_v1beta3_DNS converts a private DNS to public DNS.
func Convert_kubeadm_DNS_To_v1beta3_DNS(in *kubeadm.DNS, out *DNS, s conversion.Scope) error {
	return autoConvert_kubeadm_DNS_To_v1beta3_DNS(in, out, s)
}

// convertToArgs takes a argument map and converts it to a slice of arguments.
// Te resulting argument slice is sorted alpha-numerically.

  module will be written (default: stdout).


### Examples

* To convert [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50)
model to StableHLO with static input shape `4x3x224x224` for input argument with
type `tensor<?x3x224x224xf32>`.

```bash
tf-to-stablehlo-translate <saved-model-path> --input-arg-shapes=4,3,224,224
```

* To convert

    }

    /**
     * Converts all line separators in the specified string to the specified line separator.
     */
    @Nullable
    public static String convertLineSeparators(@Nullable String str, String sep) {
        logDeprecation();
        return str == null ? null : replaceLineSeparatorsOf(str, sep);
    }

    /**

import (
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	"k8s.io/apimachinery/pkg/conversion"

	"k8s.io/kubernetes/cmd/kubeadm/app/apis/kubeadm"
)

// Convert_kubeadm_InitConfiguration_To_v1beta4_InitConfiguration converts a private InitConfiguration to a public InitConfiguration.
func Convert_kubeadm_InitConfiguration_To_v1beta4_InitConfiguration(in *kubeadm.InitConfiguration, out *InitConfiguration, s conversion.Scope) error {

namespace tf2xla {
namespace v2 {

// Given an MLIR module, returns a GraphDef.
absl::StatusOr<std::unique_ptr<GraphDef>> ConvertMlirToGraphdef(
    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

// Given an MLIR module, returns a GraphDef.
absl::StatusOr<std::unique_ptr<GraphDef>> ConvertMlirToGraphdef(
    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

#include "absl/strings/string_view.h"

namespace mlir::tensorflow_to_stablehlo::pywrap {

// Converts a TensorFlow SavedModel to a StableHLO MLIR module and serializes it
// to bytecode.
//
// Args:
//   input_path: The path to the SavedModel directory.
//    exported_model_signatures: Comma-separated list of exported model
//   signatures to convert. tag_names: Comma-separated list of tags for loading
//    SavedModel.

	synthesized.ReadonlyPaths = securitycontext.ConvertToRuntimeReadonlyPaths(effectiveSc.ProcMount)

	return synthesized, nil
}

// convertToRuntimeSecurityContext converts v1.SecurityContext to runtimeapi.SecurityContext.
func convertToRuntimeSecurityContext(securityContext *v1.SecurityContext) *runtimeapi.LinuxContainerSecurityContext {
	if securityContext == nil {
		return nil
	}

		fmt.Fprintf(flag.CommandLine.Output(), "Supported modes:")
		fmt.Fprintf(flag.CommandLine.Output(), "\n")
		fmt.Fprintf(flag.CommandLine.Output(), "* text2bytes - converts a text format trace to bytes\n")
		fmt.Fprintf(flag.CommandLine.Output(), "* bytes2text - converts a byte format trace to text\n")
		fmt.Fprintf(flag.CommandLine.Output(), "\n")
		flag.PrintDefaults()
	}
	log.SetFlags(0)
}

func main() {
	flag.Parse()

        )
    }

    /**
     * Converts given [PsiType] to [KaType].
     *
     * [useSitePosition] may be used to clarify how to resolve some parts of [PsiType].
     * For instance, it can be used to collect type parameters and use them during the conversion.
     *
     * @receiver [PsiType] to be converted.
     * @return The converted [KaType], or null if conversion is not possible e.g., [PsiType] is not resolved