#include "tensorflow/c/experimental/ops/gen/cpp/views/arg_view.h"

#include "tensorflow/c/experimental/ops/gen/model/arg_spec.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {
namespace cpp {

ArgView::ArgView(ArgSpec arg) : arg_(arg) {}

string ArgView::VariableName() const { return arg_.name(); }

string ArgView::SetterMethod() const {
  if (IsList()) {

class FlakinessScenarioPageGeneratorTest extends ResultSpecification {
    @Subject
    FlakinessScenarioPageGenerator generator = new FlakinessScenarioPageGenerator()
    StringWriter writer = new StringWriter()

    def "can generate cross version json data"() {
        when:
        generator.render(mockCrossVersionHistory(), writer)

        then:
        println(writer.toString())
    }

#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {
namespace cpp {

class GuardRenderer : public Renderer {
 public:
  explicit GuardRenderer(RendererContext context);

  void Open();
  void Close();

 private:
  string guard_;
};

}  // namespace cpp
}  // namespace generator
}  // namespace tensorflow

// Plan9 cryptographically secure pseudorandom number
// generator.

package rand

import (
	"crypto/aes"
	"internal/byteorder"
	"io"
	"os"
	"sync"
	"time"
)

const randomDevice = "/dev/random"

func init() {
	Reader = &reader{}
}

// reader is a new pseudorandom generator that seeds itself by
// reading from /dev/random. The Read method on the returned

     */
    public void generate() {
        Generator generator = getGenerator();
        if (generator == null) {
            return;
        }
        generator.generate();
    }

    @Nullable
    Generator getGenerator() {
        File toSign = getToSign();
        if (toSign == null) {
            if (signatureSpec.isRequired()) {

namespace tensorflow {
namespace generator {
namespace cpp {

class OpCommentRenderer : public Renderer {
 public:
  explicit OpCommentRenderer(RendererContext context, OpView op);

  void Render();

 private:
  OpView op_;
};

}  // namespace cpp
}  // namespace generator
}  // namespace tensorflow

    public void setGenerator_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) {
        setGenerator_Terms("generator", opLambda, null);
    }

    public void setGenerator_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsThumbnailQueueCA> aggsLambda) {
        setGenerator_Terms("generator", opLambda, aggsLambda);
    }

set -o errexit
set -o nounset
set -o pipefail

SCRIPT_ROOT=$(dirname "${BASH_SOURCE[0]}")/..
CODEGEN_PKG=${CODEGEN_PKG:-$(cd "${SCRIPT_ROOT}"; ls -d -1 ./vendor/k8s.io/code-generator 2>/dev/null || echo ../code-generator)}

source "${CODEGEN_PKG}/kube_codegen.sh"

THIS_PKG="k8s.io/apiextensions-apiserver/examples/client-go"

kube::codegen::gen_helpers \
    --boilerplate "${SCRIPT_ROOT}/hack/boilerplate.go.txt" \

		}
		if _, err = outFile.WriteString(zshTail); err != nil {
			return fmt.Errorf("unable to output zsh tail: %v", err)
		}
	}

	return nil
}

type generator struct {
	buffer *bytes.Buffer
}

func (g *generator) emit(str ...string) {
	for _, s := range str {
		g.buffer.WriteString(s)
	}
	g.buffer.WriteByte('\n')
}

#include "tensorflow/c/experimental/ops/gen/cpp/renderers/renderer_context.h"
#include "tensorflow/core/platform/path.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {
namespace cpp {

GuardRenderer::GuardRenderer(RendererContext context) : Renderer(context) {
  string self_path = io::JoinPath(context_.path_config.tf_root_dir,