*/
        public uuid_t() {
            // Default constructor
        }

        /**
         * The low field of the timestamp.
         */
        public int time_low;
        /**
         * The middle field of the timestamp.
         */
        public short time_mid;
        /**
         * The high field of the timestamp multiplexed with the version number.
         */
        public short time_hi_and_version;

         */
        public uuid_t() {
            // Default constructor
        }

        /** The low field of the timestamp */
        public int time_low;
        /** The middle field of the timestamp */
        public short time_mid;
        /** The high field of the timestamp multiplexed with the version number */
        public short time_hi_and_version;

qui sont relativement fortement couplées.

/// check | A inspiré **FastAPI** à

Définir des validations supplémentaires pour les types de données utilisant la valeur "par défaut" des attributs du modèle. Ceci améliore le support de l'éditeur, et n'était pas disponible dans Pydantic auparavant.

Many packages that simplify it a lot have to make many compromises with the data model, database, and available features. And some of these packages that simplify things too much actually have security flaws underneath.

---

**FastAPI** doesn't make any compromise with any database, data model or tool.

It gives you all the flexibility to choose the ones that fit your project the best.

      }

    /**
     * Configures this to not authenticate the HTTPS server on to [hostname]. This makes the user
     * vulnerable to man-in-the-middle attacks and should only be used only in private development
     * environments and only to carry test data.
     *
     * The server’s TLS certificate **does not need to be signed** by a trusted certificate

a Contributor if it was added to the Program by such Contributor itself or
anyone acting on such Contributor's behalf. Contributions do not include additions
to the Program which: (i) are separate modules of software distributed in
conjunction with the Program under their own license agreement, and (ii) are
not derivative works of the Program.

   "Contributor" means any person or entity that distributes the Program.

         */
        Config.setProperty("jcifs.smb1.smb.client.soTimeout", "1800000");
        Config.setProperty("jcifs.smb1.netbios.cachePolicy", "1200");
        /* The Filter can only work with NTLMv1 as it uses a man-in-the-middle
         * techinque that NTLMv2 specifically thwarts. A real NTLM Filter would
         * need to do a NETLOGON RPC that JCIFS will likely never implement
         * because it requires a lot of extra crypto not used by CIFS.

///

## Import Pydantic's `BaseModel` { #import-pydantics-basemodel }

First, you need to import `BaseModel` from `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Create your data model { #create-your-data-model }

Then you declare your data model as a class that inherits from `BaseModel`.

     * might not run some of its listeners. The likely result is that the app will hang. (And of
     * course stack overflows are bad news in general. For example, we may have overflowed in the
     * middle of defining a class. If so, that class will never be loadable in this process.) The
     * best we can do (since logging may overflow the stack) is to let the error propagate. Because

     */
    @Test
    void testMng5568() {
        String a = "6.1.0";
        String b = "6.1.0rc3";
        String c = "6.1H.5-beta"; // this is the unusual version string, with 'H' in the middle

        checkVersionsOrder(b, a); // classical
        checkVersionsOrder(b, c); // now b < c, but before MNG-5568, we had b > c
        checkVersionsOrder(a, c);
    }

    /**