func new(Type) *Type

// The complex built-in function constructs a complex value from two
// floating-point values. The real and imaginary parts must be of the same
// size, either float32 or float64 (or assignable to them), and the return
// value will be the corresponding complex type (complex64 for float32,
// complex128 for float64).
func complex(r, i FloatType) ComplexType

        return any(field_annotation_is_complex(arg) for arg in get_args(annotation))

    return (
        _annotation_is_complex(annotation)
        or _annotation_is_complex(origin)
        or hasattr(origin, "__pydantic_core_schema__")
        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool:

For example, a compiler must not discard <code>i</code> and reload it
a second time from <code>*p</code> in this program:
</p>

<pre>
i := *p
if i &lt; 0 || i &gt;= len(funcs) {
	panic("invalid function index")
}
... complex code ...
// compiler must NOT reload i = *p here
funcs[i]()
</pre>

<p>

## Recap

With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT.

In almost any framework handling the security becomes a rather complex subject quite quickly.

 *   <li>network/transfer errors</li>
 *   <li>file system errors: permissions</li>
 * </ul>
 *
 * TODO carlos: all these possible has*Exceptions and get*Exceptions methods make the clients too
 *       complex requiring a long list of checks, need to create a parent/interface/encapsulation
 *       for the types of exceptions
 */
@Deprecated
public class ArtifactResolutionResult {

But before that, handling asynchronous code was quite more complex and difficult.

In previous versions of Python, you could have used threads or <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>. But the code is way more complex to understand, debug, and think about.

    // TLD with only 1 (wildcard) rule.
    checkPublicSuffix("mm", null)
    checkPublicSuffix("c.mm", null)
    checkPublicSuffix("b.c.mm", "b.c.mm")
    checkPublicSuffix("a.b.c.mm", "b.c.mm")
    // More complex TLD.
    checkPublicSuffix("jp", null)
    checkPublicSuffix("test.jp", "test.jp")
    checkPublicSuffix("www.test.jp", "test.jp")
    checkPublicSuffix("ac.jp", null)
    checkPublicSuffix("test.ac.jp", "test.ac.jp")

     * to the module-path if it contains a {@code module-info.class}, or to the class-path otherwise.
     * For the test output directory, the rules are more complex and are governed by the fact that
     * Java does not accept the placement of two modules of the same name on the module-path.
     * So the modular test output directory usually needs to be placed in a {@code --path-module} option.

    assertFalse(set.equals(Sets.newHashSet(4, 5, 6)));
    assertFalse(Sets.newHashSet(4, 5, 6).equals(set));

    Set<String> complex = Sets.newTreeSet(STRING_LENGTH);
    Collections.addAll(complex, "in", "the", "a");
    assertEquals(set, complex);
  }

  public void testEquals_bothDefaultOrdering_StringVsInt() {
    SortedSet<String> set = of("a", "b", "c");

     * to the module-path if it contains a {@code module-info.class}, or to the class-path otherwise.
     * For the test output directory, the rules are more complex and are governed by the fact that
     * Java does not accept the placement of two modules of the same name on the module-path.
     * So the modular test output directory usually needs to be placed in a {@code --path-module} option.