build --define=grpc_no_ares=true

# See https://github.com/bazelbuild/bazel/issues/7362 for information on what
# --incompatible_remove_legacy_whole_archive flag does.
# This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate
# Tensorflow to the default, however test coverage wasn't enough to catch the
# errors.

  integrity sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==
  dependencies:
    locate-path "^5.0.0"
    path-exists "^4.0.0"

flat@^5.0.2:
  version "5.0.2"
  resolved "https://registry.yarnpkg.com/flat/-/flat-5.0.2.tgz#8ca6fe332069ffa9d324c327198c598259ceb241"
  integrity sha512-b6suED+5/3rTpUBdG1gupIl8MPFCAMA0QXwmljLhvCUKcUvdE4gWky9zpuGCcXHOsz4J9wPGNWq6OKpmIzz3hQ==

flatted@^3.2.7:

     * Processes Google on/off comment directives in the node.
     *
     * @param node the node to process
     * @param flag the flag indicating whether content should be included
     * @return the processed node
     */
    protected Node processGoogleOffOn(final Node node, final ValueHolder<Boolean> flag) {
        final NodeList nodeList = node.getChildNodes();
        List<Node> removedNodeList = null;

kubectl delete -f tprs.yaml

After upgrading to 1.3.0, re-register the third party resource objects at the root scope (using a 1.3 server and client):

kubectl create -f tprs.yaml

#### kubectl

Kubectl flag `--container-port` flag is deprecated: it will be removed in the future, please use `--target-port` instead.

#### kubernetes Core Known Issues

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

# This flag disables generating tensorflow.lite.python under LiteRT repo.
# Avoid using flag for creating tflite wheels as tensorflow/lite is not yet fully split from tf.
config_setting(
    name = "disable_tf_lite_py",
    define_values = {"disable_tf_lite_py": "true"},
    visibility = ["//visibility:public"],
)

# This flag enables experimental MLIR support.
config_setting(

	"crypto/hmac"
	crand "crypto/rand"
	"crypto/rsa"
	"crypto/sha1"
	"crypto/tls"
	"crypto/x509"
	"crypto/x509/pkix"
	"encoding/base64"
	"encoding/hex"
	"encoding/pem"
	"encoding/xml"
	"errors"
	"flag"
	"fmt"
	"io"
	"math/big"
	"math/rand"
	"net"
	"net/http"
	"net/http/httptest"
	"net/url"
	"os"
	"path"
	"path/filepath"
	"reflect"
	"sort"
	"strconv"
	"strings"
	"sync"

    // transmitted until the flow-control window is updated from the first request.
    val call2 = client.newCall(Request(server.url("/")))
    val response2 = call2.execute()
    assertThat(response2.code).isEqualTo(200)

    // Close the response body. This should discard the buffered data and update the connection
    // flow-control window.
    response1.close()

       std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) {
    // Create C++ Tensor
    Tensor src(tensorflow::DT_STRING, TensorShape(dims));
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      src.flat<tstring>()(i) = data[i];
    }
    TF_Tensor* dst = TF_TensorFromTensor(src, &status);
    ASSERT_TRUE(status.ok()) << status.message();

    // Convert back to a C++ Tensor and ensure we get expected output.

		marker     string
		delimiter  string
		maxKeys    int
		versioned  bool
		// Expected output of ListObjects.
		resultL ListObjectsInfo
		resultV ListObjectVersionsInfo
		err     error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{
		{testBuckets[0], "unique/", "", "/", 1000, false, resultCases[0], ListObjectVersionsInfo{}, nil, true},

    /** A thread-local variable to hold the directory context. */
    protected ThreadLocal<DirContextHolder> contextLocal = new ThreadLocal<>();

    /** A flag to indicate if the LDAP connection is bound. */
    protected volatile boolean isBind = false;

    /** The Fess configuration. */
    protected FessConfig fessConfig;

    /**
     * Default constructor.
     */