"//conditions:default": [],
    }),
    tags = [
        "no_cuda_asan",  # TODO(b/181771536)
        "no_windows",  # TODO(b/155444728)
    ],
    # We must ensure that the dependencies can be dynamically linked since
    # the shared library must be able to use core:framework.
    deps = [
        ":c_api",
        ":c_api_internal",
        ":c_test_util",
        ":test_op_kernel",
        ":tf_buffer",

}

func (s *NetServer) Stop() {
	log.Debug("stopping ztunnel server")
	s.ztunnelServer.Close()
}

func (s *NetServer) rescanPod(pod *corev1.Pod) error {
	// this can happen if the pod was dynamically added to the mesh after it was created.
	// in that case, try finding the netns using procfs.
	filter := map[types.UID]*corev1.Pod{
		pod.UID: pod,
	}
	return s.scanProcForPodsAndCache(filter)
}

      --with-linker-hash-style="gnu" \
      --with-tune="generic" \
      && \
    make -j 42 && \
    make install


# Create the devtoolset libstdc++ linkerscript that links dynamically against
# the system libstdc++ 4.4 and provides all other symbols statically.
case "${VERSION}" in
devtoolset-7)
mv "/${TARGET}/usr/lib/libstdc++.so.${LIBSTDCXX_VERSION}" \

   * thread keeps an indirect strong reference to the queue in ReferenceMap, which keeps the
   * Finalizer running, and as a result, the application class loader can never be reclaimed.
   *
   * This means that dynamically loaded web applications and OSGi bundles can't be unloaded.
   *
   * If the library is loaded in an application class loader, we try to break the cycle by loading
   * Finalizer in its own independent class loader:
   *

This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "All tensorflow.org/code links point to real files" {

    - [pilot](pilot/). This directory
contains platform-specific code to populate the
[abstract service model](https://istio.io/docs/concepts/traffic-management/#pilot), dynamically reconfigure the proxies
when the application topology changes, as well as translate
[routing rules](https://istio.io/latest/docs/reference/config/networking/) into proxy specific configuration.

	if err := clientcmd.Validate(*kubeconfig); err != nil {
		return nil, fmt.Errorf("invalid kubeconfig: %v", err)
	}

	// Encode the Kubeconfig in a secret that can be loaded by Istio to dynamically discover and access the remote cluster.
	return createRemoteServiceAccountSecret(kubeconfig, clusterName, secName)
}

var (
	errMissingRootCAKey = fmt.Errorf("no %q data found", v1.ServiceAccountRootCAKey)

    val tomlj = "org.tomlj:tomlj"
    val trove4j = "org.jetbrains.intellij.deps:trove4j"
    val xbeanReflect = "org.apache.xbean:xbean-reflect"
    val xmlApis = "xml-apis:xml-apis"

    // Compile only dependencies (dynamically downloaded if needed)
    val maven3Compat = "org.apache.maven:maven-compat"
    val maven3PluginApi = "org.apache.maven:maven-plugin-api"
    val zinc = "org.scala-sbt:zinc_2.13"

    // Test classpath only libraries

This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "All tensorflow.org/code links point to real files" {

	tx = db.getInstance()
	tx.Statement.AddClause(clause.Limit{Offset: offset})
	return
}

// Scopes pass current database connection to arguments `func(DB) DB`, which could be used to add conditions dynamically
//
//	func AmountGreaterThan1000(db *gorm.DB) *gorm.DB {
//	    return db.Where("amount > ?", 1000)
//	}
//
//	func OrderStatus(status []string) func (db *gorm.DB) *gorm.DB {