# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

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

# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
    name = "nvidia_constraints",

    linkshared = 1,
    linkstatic = 1,
    deps = tf_custom_op_library_additional_deps_impl(),
)

# Get a DEF file generated by parsing all object files
# of tf_custom_op_library_additional_deps.so
filegroup(
    name = "tensorflow_def_file",
    srcs = [":tf_custom_op_library_additional_deps.dll"],
    output_group = "def_file",
)

# Filter the DEF file to reduce the number of symbols to 64K or less.

 */

public class DES {

    private final int[] encryptKeys = new int[32];
    private final int[] decryptKeys = new int[32];

    private final int[] tempInts = new int[2];

    /**
     * Creates a DES cipher instance without a key
     */
    public DES() {

    }

    // Constructor, byte-array key.
    /**
     * Creates a DES cipher instance with the specified key

import jcifs.smb1.util.LogStream;

/**
 * Implements DFS (Distributed File System) referral caching and resolution.
 * This class manages DFS referral cache and provides DFS path resolution functionality.
 */
public class Dfs {

    /**
     * Default constructor for Dfs.
     * Initializes the DFS referral system.
     */
    public Dfs() {
        // Default constructor
    }

    static class CacheEntry {

         */

        CacheEntry<DfsReferralDataInternal> refs;
        synchronized (this.referralsLock) {
            refs = this.referrals;
            if (refs == null || now > refs.expiration) {
                refs = new CacheEntry<>(0);
            }
            this.referrals = refs;
        }
        String key = "\\" + domain + "\\" + root;
        if (!path.equals("\\")) {

La même chose s'applique aux dépendances. Si une dépendance est définie avec `def` plutôt que `async def`, elle est exécutée dans la threadpool externe.

### Sous-dépendances

### Andere Hilfsfunktionen

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>Oder verwenden Sie <code>async def</code> ...</summary>

Wenn Ihr Code `async` / `await` verwendet, benutzen Sie `async def`:

```Python hl_lines="9  14"

*   `tf.saved_model.SaveOptions`

    * `SaveOptions` now takes a new argument called
      `experimental_debug_stripper`. When enabled, this strips the debug nodes
      from both the node defs and the function defs of the graph. Note that
      this currently only strips the `Assert` nodes from the graph and
      converts them into `NoOp`s instead.

*   `tf.data`

    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = [
        ":c_api_macros",
        ":tf_shape_internal",
        "//tensorflow/core:framework",
    ],
)

cc_library(
    name = "tf_shape_internal",
    hdrs = ["tf_shape_internal.h"],
    copts = tf_copts(),
    visibility = ["//tensorflow:internal"],
    deps = [
        ":conversion_macros",
        "//tensorflow/core:framework",