sink.putLong(value);
        }
      }
    },
    PUT_FLOAT() {
      @Override
      void performAction(Random random, Iterable<? extends PrimitiveSink> sinks) {
        float value = random.nextFloat();
        for (PrimitiveSink sink : sinks) {
          sink.putFloat(value);
        }
      }
    },
    PUT_DOUBLE() {
      @Override

import java.util.List;

@SuppressWarnings("unused") // Nested enums used reflectively in setUp.
public class EnumsBenchmark {

  @Param({"Small", "Medium", "Large"})
  String enumSize;

  @Param({"0.2", "0.8"})
  float hitRate;

  // We could avoid the raw type here by initializing this with a ternary (? SmallEnum.class : ...).
  // However, we end up needing a raw type in getIfPresent, as discussed there.
  @SuppressWarnings("rawtypes")

github.com/vishvananda/netns v0.0.4 h1:Oeaw1EM2JMxD51g9uhtC0D7erkIjgmj8+JZc26m1YX8=
github.com/vishvananda/netns v0.0.4/go.mod h1:SpkAiCQRtJ6TvvxPnOSyH3BMl6unz3xZlaprSwhNNJM=
github.com/x448/float16 v0.8.4 h1:qLwI1I70+NjRFUR3zs1JPUCgaCXSh3SW62uAKT1mSBM=
github.com/x448/float16 v0.8.4/go.mod h1:14CWIYCyZA/cWjXOioeEpHeN/83MdbZDRQHoFcYsOfg=
github.com/xeipuuv/gojsonpointer v0.0.0-20180127040702-4e3ac2762d5f/go.mod h1:N2zxlSyiKSe5eX1tZViRH5QA0qijqEDrYZiPEAiq3wU=

import java.util.List;

@SuppressWarnings("unused") // Nested enums used reflectively in setUp.
public class EnumsBenchmark {

  @Param({"Small", "Medium", "Large"})
  String enumSize;

  @Param({"0.2", "0.8"})
  float hitRate;

  // We could avoid the raw type here by initializing this with a ternary (? SmallEnum.class : ...).
  // However, we end up needing a raw type in getIfPresent, as discussed there.
  @SuppressWarnings("rawtypes")

        protected SearchRequestType searchRequestType = SearchRequestType.SEARCH;
        protected boolean isScroll = false;
        protected String trackTotalHits = null;
        protected Float minScore = null;

        public static SearchConditionBuilder builder(final SearchRequestBuilder searchRequestBuilder) {
            return new SearchConditionBuilder(searchRequestBuilder);
        }

	DCBT (R3)                       // 7c001a2c
	ICBI (R3)(R4)                   // 7c041fac
	ICBI (R3)(R0)                   // 7c001fac
	ICBI (R3)                       // 7c001fac

	// float constants
	FMOVD $(0.0), F1                // f0210cd0
	FMOVD $(-0.0), F1               // f0210cd0fc200850

	FMOVD 8(R3), F1                 // c8230008
	FMOVD (R3)(R4), F1              // 7c241cae

          if ver < 35:
            print('WARNING: XLA does not support CUDA compute capabilities '
                  'lower than sm_35. Disable XLA when running on older GPUs.')
      else:
        ver = float(m.group(0))
        if ver < 3.0:
          print('ERROR: TensorFlow only supports CUDA compute capabilities 3.0 '
                'and higher. Please re-specify the list of compute '

			s = "ideal-int"
		case types.UntypedRune:
			// "ideal-char" for compatibility with old tool
			// TODO(gri) change to "ideal-rune"
			s = "ideal-char"
		case types.UntypedFloat:
			s = "ideal-float"
		case types.UntypedComplex:
			s = "ideal-complex"
		case types.UntypedString:
			s = "ideal-string"
		case types.UntypedNil:
			panic("should never see untyped nil type")
		default:
			switch s {

index.admin.array.fields=lang,role,label,anchor,virtual_host
index.admin.date.fields=expires,created,timestamp,last_modified
index.admin.integer.fields=
index.admin.long.fields=content_length,favorite_count,click_count
index.admin.float.fields=boost
index.admin.double.fields=
index.admin.required.fields=url,title,role,boost

# timeout
index.search.timeout=3m
index.scroll.search.timeout=3m
index.index.timeout=3m
index.bulk.timeout=3m

  ASSERT_EQ(TF_OK, TF_GetCode(s.get())) << TF_Message(s.get());
  ASSERT_NE(*func, nullptr);
}

REGISTER_OP("CustomOp")
    .Output("output: float32")
    .Attr("index: int")
    .SetShapeFn(tensorflow::shape_inference::UnknownShape);

void NodeWithPlaceholderAttrHelper(TF_Graph* graph, TF_Status* s,