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

 *   <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 {

## 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.

The most common is the implicit flow.

The most secure is the code flow, but it's more complex to implement as it requires more steps. As it is more complex, many providers end up suggesting the implicit flow.

/// note

It's common that each authentication provider names their flows in a different way, to make it part of their brand.

do exactly this.
</p>

<p>
A read of an array, struct, or complex number
may by implemented as a read of each individual sub-value
(array element, struct field, or real/imaginary component),
in any order.
Similarly, a write of an array, struct, or complex number
may be implemented as a write of each individual sub-value,
in any order.
</p>

<p>

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.

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

    // 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")

# About HTTPS

It is easy to assume that HTTPS is something that is just "enabled" or not.

But it is way more complex than that.

/// tip

If you are in a hurry or don't care, continue with the next sections for step by step instructions to set everything up with different techniques.

///

        case 128:
          *tf_dtype = TF_DataType::TF_COMPLEX128;
          return absl::OkStatus();
        default:
          return tensorflow::errors::InvalidArgument(
              "Unsupported Complex bits: ", dtype.bits);
      }
      break;
    default:
      return tensorflow::errors::InvalidArgument("Unsupported Type Codes: ",
                                                 dtype.code);
  }
}