</p>
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system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)
    -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`
-   Presubmit jobs (Run on every GitHub PR)

    FastAPI 框架，高效能，易於學習，快速開發，適用於生產環境
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    @DisplayName("getServerTimeZoneOffset: SMB1 negotiate path multiplies minutes to millis")
    void getServerTimeZoneOffsetSmb1() throws Exception {
        // Uses concrete SMB1 negotiate response to exercise SMB1-specific branch
        // Build a concrete SMB1 negotiate response to expose ServerData fields
        jcifs.CIFSContext ctx = mock(jcifs.CIFSContext.class);
        when(ctx.getConfig()).thenReturn(config);

    @Test
    @DisplayName("finalize() logs a warning when not closed (no exception)")
    void finalize_logsWhenNotClosed() throws Throwable {
        when(cfg.isTraceResourceUsage()).thenReturn(true); // exercise backtrace branch
        stubValidTree(2L, true, true);
        SmbFileHandleImpl h = new SmbFileHandleImpl(cfg, 1, tree, "//host/share", 0, 0, 0, 0, 0L);
        // Calling finalize directly to execute the logic; should not throw

## Patching guidelines

Follow these steps to patch a specific version of TensorFlow, for example, to
apply fixes to bugs or security vulnerabilities:

*   Clone the TensorFlow repository and switch to the appropriate branch for
    your desired version—for example, `r2.8` for version 2.8.
*   Apply the desired changes (i.e., cherry-pick them) and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.

Pero en muchos casos, querrás ejecutar varios worker processes al mismo tiempo.

### Múltiples Procesos - Workers

Si tienes más clientes de los que un solo proceso puede manejar (por ejemplo, si la máquina virtual no es muy grande) y tienes **múltiples núcleos** en la CPU del servidor, entonces podrías tener **múltiples procesos** ejecutando la misma aplicación al mismo tiempo, y distribuir todas las requests entre ellos.