rawtypeToWildcard(MinMaxPriorityQueue.expectedSize(5)).create();
    Collections.addAll(mmHeap, "foo", "bar", "foobar", "barfoo", "larry", "sergey", "eric");
    assertTrue("Heap is not intact initially", mmHeap.isIntact());
    assertThat(mmHeap.peek()).isEqualTo("bar");
    assertThat(mmHeap.peekLast()).isEqualTo("sergey");
    assertEquals(7, mmHeap.size());

	if err := DB.Save(levelA1).Error; err != nil {
		t.Error(err)
	}

	want := []*LevelA2{
		{
			Value: "bar",
			LevelA3s: []*LevelA3{
				{
					Value:   "qux",
					LevelA1: levelA1,
				},
			},
		},
		{
			Value:    "bar 2",
			LevelA3s: []*LevelA3{},
		},
	}
	for _, levelA2 := range want {
		if err := DB.Save(levelA2).Error; err != nil {
			t.Error(err)

        /**
         * Returns the programmatic name of this path type, including the module to patch.
         * For example, if this type was created by {@code JavaPathType.patchModule("foo.bar")},
         * then this method returns {@code "PathType[PATCH_MODULE:foo.bar]")}.
         *
         * @return the programmatic name together with the module name on which it applies
         */
        @Nonnull
        @Override

    @Override
    public SampleElements<Entry<String, Integer>> samples() {
      return new SampleElements<>(
          mapEntry("foo", 5),
          mapEntry("bar", 3),
          mapEntry("baz", 17),
          mapEntry("quux", 1),
          mapEntry("toaster", -2));
    }

    @SuppressWarnings("unchecked")
    @Override

from tensorflow.python import tf2 as _tf2
_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
_current_module = _sys.modules[__name__]

 *   <li>Next, non-null {@code Foo} values are passed to {@code getBarFunction} (we will be
 *       comparing {@code Bar} values from now on)
 *   <li>Next, if only one {@code Bar} is null, that null value is treated as <i>lesser</i>
 *   <li>Finally, natural ordering is used (i.e. the result of {@code Bar.compareTo(Bar)} is
 *       returned)
 * </ol>
 *

///

#### Data with values for fields with defaults { #data-with-values-for-fields-with-defaults }

But if your data has values for the model's fields with default values, like the item with ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

they will be included in the response.

#### Dados com valores para campos com padrões { #data-with-values-for-fields-with-defaults }

Mas se seus dados tiverem valores para os campos do modelo com valores padrões, como o item com ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

eles serão incluídos na resposta.

        Assume.assumeFalse(Architecture.current() == Architecture.AARCH64);
    }

    @Test(expected = IllegalArgumentException.class)
    public void testExceptionOnEmpty() {
        new BwcVersions(asList("foo", "bar"), Version.fromString("7.0.0"));
    }

    @Test(expected = IllegalStateException.class)
    public void testExceptionOnNonCurrent() {

  }

  @Test fun testValidParse() {
    assertMediaType("text/plain")
    assertMediaType("application/atom+xml; charset=utf-8")
    assertMediaType("application/atom+xml; a=1; a=2; b=3")
    assertMediaType("image/gif; foo=bar")
    assertMediaType("text/plain; a=1")
    assertMediaType("text/plain; a=1; a=2; b=3")
    assertMediaType("text/plain; charset=utf-16")
    assertMediaType("text/plain; \t \n \r a=b")
    assertMediaType("text/plain;")