int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;
        // in GWT, we have to deal with integer overflow carefully
      }
      int hash = 1;
      for (Set<E> axis : axes) {
        hash = 31 * hash + (size() / axis.size() * axis.hashCode());

        hash = ~~hash;
      }
      hash += adjust;

  TFE_TensorHandle* axis = TestAxisTensorHandle(ctx);
  TFE_Op* minOp = MinOp(ctx, input, axis);
  TFE_TensorHandle* retvals[1] = {nullptr};
  int num_retvals = 1;
  TFE_Execute(minOp, &retvals[0], &num_retvals, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteOp(minOp);
  TFE_DeleteTensorHandle(input);
  TFE_DeleteTensorHandle(axis);
  ASSERT_EQ(1, num_retvals);

  // Make a placeholder operation.
  TF_Operation* feed = Placeholder(graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Make a constant operation with the scalar "0", for axis.
  TF_Operation* one = ScalarConst(0, graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Create a session for this graph.
  CSession csession(graph, s, use_XLA);

      "title": "S3 API Request 4xx Error Rate",
      "tooltip": {
        "shared": true,
        "sort": 2,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "mode": "time",
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "$$hashKey": "object:331",
          "format": "none",
          "logBase": 1,

      "timeRegions": [],
      "title": "Avg. Active Workers",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "mode": "time",
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "$$hashKey": "object:331",
          "format": "short",
          "logBase": 1,

      "timeRegions": [],
      "title": "Avg. Active Workers",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "mode": "time",
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "$$hashKey": "object:331",
          "format": "short",
          "logBase": 1,

	corev1 "k8s.io/api/core/v1"
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	klabels "k8s.io/apimachinery/pkg/labels"
	"k8s.io/client-go/kubernetes"

	apiannotation "istio.io/api/annotation"
	"istio.io/api/label"
	meshconfig "istio.io/api/mesh/v1alpha1"
	"istio.io/api/networking/v1alpha3"
	typev1beta1 "istio.io/api/type/v1beta1"
	clientnetworking "istio.io/client-go/pkg/apis/networking/v1alpha3"

    visibility = ["//visibility:public"],
)

# DO NOT ADD ANY NEW EXCEPTIONS TO THIS LIST!
# Instead, please use public APIs or public build rules TF provides.
# If you need functionality that is not exposed, we will work with you to expand our public APIs.
# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [

_2016-07-02_

 *  **We’ve rewritten HttpURLConnection and HttpsURLConnection.** Previously we
    shared a single HTTP engine between two frontend APIs: `HttpURLConnection`
    and `Call`. With this release we’ve rearranged things so that the
    `HttpURLConnection` frontend now delegates to the `Call` APIs internally.
    This has enabled substantial simplifications and optimizations in the OkHttp
    core for both frontends.

syntax = "proto2";

package k8s.io.apimachinery.pkg.apis.meta.v1;

import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/apimachinery/pkg/apis/meta/v1";

// APIGroup contains the name, the supported versions, and the preferred version