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  1. docs/de/docs/deployment/manually.md

    Das würde in den meisten Fällen funktionieren. 😎
    
    Sie könnten diesen Befehl beispielsweise verwenden, um Ihre **FastAPI**-App in einem Container, auf einem Server usw. zu starten.
    
    ## ASGI-Server { #asgi-servers }
    
    Lassen Sie uns ein wenig tiefer in die Details eintauchen.
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sat Oct 11 17:48:49 UTC 2025
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  2. cmd/prepare-storage.go

    		case errors.Is(err, errFirstDiskWait):
    			// Fresh setup, wait for other servers to come up.
    			logger.Info("Waiting for all other servers to be online to format the drives (elapses %s)\n", getElapsedTime())
    		case errors.Is(err, errErasureReadQuorum):
    			// no quorum available continue to wait for minimum number of servers.
    			logger.Info("Waiting for a minimum of %d drives to come online (elapsed %s)\n",
    Registered: Sun Dec 28 19:28:13 UTC 2025
    - Last Modified: Fri Jul 12 20:51:54 UTC 2024
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  3. CHANGELOG/CHANGELOG-1.29.md

    ### Bug or Regression
    
    - Fix a scheduler preemption issue where the victim pod was not deleted due to incorrect status patching. This issue occurred when the preemptor and victim pods had different QoS classes in their status, causing the preemption to fail entirely. ([#126694](https://github.com/kubernetes/kubernetes/pull/126694), [@Huang-Wei](https://github.com/Huang-Wei)) [SIG Scheduling]
    Registered: Fri Dec 26 09:05:12 UTC 2025
    - Last Modified: Wed Mar 12 00:36:01 UTC 2025
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  4. docs/de/docs/tutorial/body.md

    Zuerst müssen Sie `BaseModel` von `pydantic` importieren:
    
    {* ../../docs_src/body/tutorial001_py310.py hl[2] *}
    
    ## Ihr Datenmodell erstellen { #create-your-data-model }
    
    Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.
    
    Verwenden Sie Standard-Python-Typen für alle Attribute:
    
    {* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 24 10:28:19 UTC 2025
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  5. CHANGELOG/CHANGELOG-1.30.md

    ### Bug or Regression
    
    - Fix a scheduler preemption issue where the victim pod was not deleted due to incorrect status patching. This issue occurred when the preemptor and victim pods had different QoS classes in their status, causing the preemption to fail entirely. ([#126693](https://github.com/kubernetes/kubernetes/pull/126693), [@Huang-Wei](https://github.com/Huang-Wei)) [SIG Scheduling]
    Registered: Fri Dec 26 09:05:12 UTC 2025
    - Last Modified: Wed Jun 18 18:59:10 UTC 2025
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  6. src/main/java/jcifs/smb1/smb1/Dfs.java

             * in such a way that there can be a slash at the end of the path. This
             * causes problems matching keys in resolve() where an extra slash causes
             * a mismatch. This strips trailing slashes from all keys to eliminate
             * this problem.
             */
            int ki = key.length();
            while (ki > 1 && key.charAt(ki - 1) == '\\') {
                ki--;
            }
            if (ki < key.length()) {
    Registered: Sat Dec 20 13:44:44 UTC 2025
    - Last Modified: Sat Aug 16 01:32:48 UTC 2025
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  7. docs/es/docs/tutorial/request-files.md

    /// info | Información
    
    `File` es una clase que hereda directamente de `Form`.
    
    Pero recuerda que cuando importas `Query`, `Path`, `File` y otros desde `fastapi`, esos son en realidad funciones que devuelven clases especiales.
    
    ///
    
    /// tip | Consejo
    
    Para declarar cuerpos de File, necesitas usar `File`, porque de otra manera los parámetros serían interpretados como parámetros query o parámetros de cuerpo (JSON).
    
    ///
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Tue Dec 16 16:33:45 UTC 2025
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  8. docs/pt/docs/tutorial/body.md

    Primeiro, você precisa importar `BaseModel` do `pydantic`:
    
    {* ../../docs_src/body/tutorial001_py310.py hl[2] *}
    
    ## Crie seu modelo de dados { #create-your-data-model }
    
    Então você declara seu modelo de dados como uma classe que herda `BaseModel`.
    
    Utilize os tipos Python padrão para todos os atributos:
    
    {* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
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  9. docs/de/docs/tutorial/security/simple-oauth2.md

    # Einfaches OAuth2 mit Password und Bearer { #simple-oauth2-with-password-and-bearer }
    
    Lassen Sie uns nun auf dem vorherigen Kapitel aufbauen und die fehlenden Teile hinzufügen, um einen vollständigen Sicherheits-Flow zu erhalten.
    
    ## `username` und `password` entgegennehmen { #get-the-username-and-password }
    
    Wir werden **FastAPIs** Sicherheits-Werkzeuge verwenden, um den `username` und das `password` entgegenzunehmen.
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sat Sep 20 15:10:09 UTC 2025
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  10. docs/pt/docs/tutorial/schema-extra-example.md

    ////
    
    //// tab | Pydantic v1
    
    Na versão 1 do Pydantic, você usaria uma classe interna `Config` e `schema_extra`, conforme descrito na <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">documentação do Pydantic: Schema customization</a>.
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Nov 12 16:23:57 UTC 2025
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