@test "bazel nobuild passes on all of TF except TF Lite and win toolchains" {
    bazel build --experimental_cc_shared_library --nobuild --keep_going -- //tensorflow/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/win/... -//tensorflow/tools/toolchains/win_1803/...  -//tensorflow/tools/toolchains/win2022/...
}

@test "API compatibility test passes, ensuring no unexpected changes to the TF API" {

  fun logHandler() =
    ConsoleHandler().apply {
      level = Level.FINE
      formatter =
        object : SimpleFormatter() {
          override fun format(record: LogRecord) = String.format("[%1\$tF %1\$tT] %2\$s %n", record.millis, record.message)
        }
    }

  fun enable(
    loggerClass: String,
    handler: Handler = logHandler(),
  ): Closeable {
    val logger = Logger.getLogger(loggerClass)

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# Sets up custom apt sources for our TF images.

# Prevent apt install tzinfo from asking our location (assumes UTC)
export DEBIAN_FRONTEND=noninteractive

# Set up shared custom sources
apt-get update
apt-get install -y gnupg ca-certificates

        final UniAddress dc = new UniAddress(addr);
        try (SmbTransportInternal trans = tf.getTransportPool()
                .getSmbTransport(tf, dc, 0, false, tf.hasDefaultCredentials() && tf.getConfig().isIpcSigningEnforced())
                .unwrap(SmbTransportInternal.class)) {
            if (!tf.hasDefaultCredentials()) {

load("@python_version_repo//:py_version.bzl", "REQUIREMENTS")
load("@rules_python//python:pip.bzl", "compile_pip_requirements")

# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
    name = "nvidia_constraints",
    srcs = ["nvidia-requirements.txt"],
    outs = ["nvidia-constraints.txt"],
    cmd = """sed -E "s/>=/==/" $(location nvidia-requirements.txt) > $@;""",

#ifdef __cplusplus
#include "tensorflow/core/platform/status.h"

// Macro to verify that the field `struct_size` of STRUCT_OBJ is initialized.
// `struct_size` is used for struct member compatibility check between core TF
// and plug-ins with the same C API minor version. More info here:
// https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api/C_API_versioning_strategy.md

    ```

    This will run it using your installed version of TensorFlow. To be sure
    you're running the same code that you're testing:

    *   Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/)
        `pip install -U tf-nightly`
    *   Rebase your pull request onto a recent pull from
        [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.

# limitations under the License.
# ==============================================================================
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="gcr.io/tensorflow-testing/tf-win2022@sha256:915cb093630432c38b028f56bd31116a5559ebbc688d427b6092d86828ae03bc"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"

    SmbSessionImpl(CIFSContext tf, String targetHost, String targetDomain, SmbTransportImpl transport) {
        this.transportContext = tf;
        this.targetDomain = targetDomain;
        this.targetHost = targetHost;
        this.transport = transport.acquire();
        this.trees = new CopyOnWriteArrayList<>();
        this.credentials = tf.getCredentials().unwrap(CredentialsInternal.class).clone();

		}

		for j, tf := range v.tests {
			switch tf := tf.(type) {
			case testRead:
				b := make([]byte, tf.cnt)
				n, err := fr.Read(b)
				if got := string(b[:n]); got != tf.wantStr || err != tf.wantErr {
					t.Errorf("test %d.%d, Read(%d):\ngot  (%q, %v)\nwant (%q, %v)", i, j, tf.cnt, got, err, tf.wantStr, tf.wantErr)
				}
			case testWriteTo: