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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.

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Ce qu'il faut retenir c'est qu'en utilisant les types standard de Python, à un seul endroit (plutôt que d'ajouter plus de classes, de décorateurs, etc.), **FastAPI** fera une grande partie du travail pour vous.

/// info

Isso é especialmente útil para uma **base de código grande** onde **as mesmas dependências** são utilizadas repetidamente em **muitas *operações de rota***.

## `Async` ou não, eis a questão

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