)


private
typealias ApiTypeSupplier = () -> ApiType


typealias ParameterNamesSupplier = (String) -> List<String>?


private
fun ParameterNamesSupplier.parameterNamesFor(typeName: String, functionName: String, parameterTypeNames: List<String>): List<String>? =
    this("$typeName.$functionName(${parameterTypeNames.joinToString(",")})")


/**
 * Provides [ApiType] instances by Kotlin source name from a class path.
 *

							{
								Name: "default",
								SdsConfig: &core.ConfigSource{
									ConfigSourceSpecifier: &core.ConfigSource_ApiConfigSource{
										ApiConfigSource: &core.ApiConfigSource{
											ApiType:                   core.ApiConfigSource_GRPC,
											SetNodeOnFirstMessageOnly: true,
											TransportApiVersion:       core.ApiVersion_V3,
											GrpcServices: []*core.GrpcService{
												{

        given:
        JApiCompatibility jApiType = getProperty(jApiTypeName)
        def rule = withContext(new IncubatingMissingRule([:]))
        def annotations = []
        jApiType.annotations >> annotations

        when:
        annotations.clear()

        then:
        rule.maybeViolation(jApiType).humanExplanation =~ 'Is not annotated with @Incubating'

        when:

fi

git clone  "https://${REPO}" "${API_TMP}" && cd "${API_TMP}"
git checkout "${SHA}"
if [ ! -f "${API_TMP}/kubernetes/customresourcedefinitions.gen.yaml" ]; then
  echo "Generated Custom Resource Definitions file does not exist in the commit SHA ${SHA}. Not updating the CRD file."
  exit
fi
rm -f "${ROOTDIR}/manifests/charts/base/crds/crd-all.gen.yaml"

#include "tensorflow/c/experimental/ops/gen/model/arg_type.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {
namespace cpp {

ArgTypeView::ArgTypeView(ArgType arg_type) : arg_type_(arg_type) {}

string ArgTypeView::TypeName() const {
  if (arg_type_.is_read_only()) {

#define TENSORFLOW_C_EXPERIMENTAL_OPS_GEN_CPP_VIEWS_ARG_TYPE_VIEW_H_

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

namespace tensorflow {
namespace generator {
namespace cpp {

class ArgTypeView {
 public:
  explicit ArgTypeView(ArgType arg_type);

  string TypeName() const;

 private:
  ArgType arg_type_;
};

}  // namespace cpp

      if (current_type == input_type) {  // int8 == int8
        arg_type = quantize_output.getType();
        new_arg = block.addArgument(arg_type, loc);
        quantize_output.replaceAllUsesWith(new_arg);
      } else if (input_type.isUnsignedInteger(
                     current_type.getIntOrFloatBitWidth())) {  // int8 != uint8
        arg_type = quant::ConvertSignedQuantizedToUnsigned(
            quantize_output.getType(), loc);

								ResourceApiVersion:  core.ApiVersion_V3,
								ConfigSourceSpecifier: &core.ConfigSource_ApiConfigSource{
									ApiConfigSource: &core.ApiConfigSource{
										ApiType:                   core.ApiConfigSource_GRPC,
										SetNodeOnFirstMessageOnly: true,
										TransportApiVersion:       core.ApiVersion_V3,
										GrpcServices: []*core.GrpcService{
											{

}

Value materializeEpsilon(Operation *op, FloatAttr epsilon_attr,
                         FloatType fp_type, Value broadcast_to,
                         RankedTensorType broadcast_to_type,
                         PatternRewriter &rewriter) {
  ImplicitLocOpBuilder b(op->getLoc(), rewriter);
  if (epsilon_attr.getType() != fp_type) {
    // Need to convert.
    bool loses_info;
    APFloat epsilon_float = epsilon_attr.getValue();

import org.lastaflute.job.LaJobScheduler;

public class AllJobScheduler implements LaJobScheduler {

    private static final Logger logger = LogManager.getLogger(AllJobScheduler.class);

    protected static final String APP_TYPE = "JOB";

    @Resource
    private TimeManager timeManager;

    @Resource
    private FessConfig fessConfig;

    @Resource
    private AccessContextLogic accessContextLogic;

    @Resource