For example, this model above declares a JSON "`object`" (or Python `dict`) like:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...as `description` and `tax` are optional (with a default value of `None`), this JSON "`object`" would also be valid:

```JSON
{
    "name": "Foo",
    "price": 45.2
}

// Copyright (c) 2015-2022 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful

  private fun greaterThan(value: Long): Matcher<Long?> =
    object : BaseMatcher<Long?>() {
      override fun describeTo(description: Description?) {
        description!!.appendText("> $value")
      }

      override fun matches(o: Any?): Boolean = (o as Long?)!! > value
    }

  private fun matchesProtocol(protocol: Protocol?): Matcher<Response?> =
    object : BaseMatcher<Response?>() {

        String writtenLastName = readNullTerminatedString(dst, lastNameStart);
        assertEquals("", writtenLastName);
    }

    // Helper methods

    private Object getFieldValue(Object obj, String fieldName) {
        try {
            Field field = getField(obj.getClass(), fieldName);
            field.setAccessible(true);
            return field.get(obj);
        } catch (Exception e) {

        setField(transport, "mid", new AtomicLong());
    }

    // Utility: reflectively set a private/protected field (searches up the hierarchy)
    private static void setField(Object target, String name, Object value) {
        try {
            Field f = findField(target.getClass(), name);
            f.setAccessible(true);
            f.set(target, value);
        } catch (Exception e) {

Zum Beispiel könnten Sie **ein Dict zurückgeben** wollen, oder ein Datenbank-Objekt, aber **es als Pydantic-Modell deklarieren**. Auf diese Weise übernimmt das Pydantic-Modell alle Datendokumentation, -validierung, usw. für das Objekt, welches Sie zurückgeben (z. B. ein Dict oder ein Datenbank-Objekt).

      if ("Jar does not have a symbolic name" in e.message!!) {
        println("Skipped non-OSGi dependency: ${file.name}")
        return
      }
      throw e
    }
  }

  companion object {
    val fileSystem = FileSystem.SYSTEM

    /** Each is the Bundle-SymbolicName of an OkHttp module's OSGi configuration.  */
    private val REQUIRED_BUNDLES: List<String> =
      mutableListOf(

    assertTrue(isInOrder(asList("c", "b", "a"), set.comparator()));
  }

  private static final Comparator<Object> TO_STRING =
      new Comparator<Object>() {
        @Override
        public int compare(Object o1, Object o2) {
          return o1.toString().compareTo(o2.toString());
        }
      };

  public void testSupertypeComparator() {
    SortedSet<Integer> set =

        // Assert using reflection
        Field sidsField = lsarpc.LsarLookupSids.class.getDeclaredField("sids");
        sidsField.setAccessible(true);
        Object sidsObj = sidsField.get(lookupSids);

        assertNotNull(sidsObj);
        assertTrue(sidsObj instanceof LsarSidArrayX);
    }

    @Test

 * file system (those projects are usually about to be built) or from the local repository
 * (they are usually downloaded during dependency collection). Those projects are loaded
 * from a Project Object Model (POM).</p>
 *
 * <p><dfn>Project Object Model</dfn> or <dfn>POM</dfn> refers to the information describing
 * all the information needed to build or consume a project. Those are usually loaded from