if (expected.equals(in)) {
      assertSame(in, out);
    } else {
      assertEquals(expected, out);
    }
  }

  // Test collapse() a little differently than the rest, as we really want to
  // cover lots of different configurations of input text
  public void testCollapse() {
    // collapsing groups of '-' into '_' or '-'
    doTestCollapse("-", "_");

    }

    @Override
    public boolean contains(@Nullable Object obj) {
      return containsColumn(obj);
    }
  }

  /** Creates an iterator that returns each column value with duplicates omitted. */
  Iterator<C> createColumnKeyIterator() {
    return new ColumnKeyIterator();
  }

  private final class ColumnKeyIterator extends AbstractIterator<C> {

It doesn't use a data validation, serialization and documentation third-party library like Pydantic, it has its own. So, these data type definitions would not be reusable as easily.

It requires a little bit more verbose configurations. And as it is based on WSGI (instead of ASGI), it is not designed to take advantage of the high performance provided by tools like Uvicorn, Starlette and Sanic.

Instead of that, by being an "asynchronous" system, once finished, the task can wait in line a little bit (some microseconds) for the computer / program to finish whatever it went to do, and then come back to take the results and continue working with them.

    if (expected.equals(in)) {
      assertSame(in, out);
    } else {
      assertEquals(expected, out);
    }
  }

  // Test collapse() a little differently than the rest, as we really want to
  // cover lots of different configurations of input text
  public void testCollapse() {
    // collapsing groups of '-' into '_' or '-'
    doTestCollapse("-", "_");

// There are some caveats regarding the following:
// 1. object lock config - object lock should have been specified at time of bucket creation. Only default retention settings are imported here.
// 2. Replication config - is omitted from import as remote target credentials are not available from exported data for security reasons.
// 3. lifecycle config - if transition rules are present, tier name needs to have been defined.

To set the output format, set the request `Content-Type` to the desired format. Accepted values are `application/json` for JSON output or `text/plain` for a Markdown-formatted table. The default is Markdown.

	    <code>--</code>,
	    <code>)</code>,
	    <code>]</code>, or
	    <code>}</code>
	</li>
</ul>
</li>

<li>
To allow complex statements to occupy a single line, a semicolon
may be omitted before a closing <code>")"</code> or <code>"}"</code>.
</li>
</ol>

<p>
To reflect idiomatic use, code examples in this document elide semicolons
using these rules.
</p>

            nonces[i] = encryptionContext.generateNonce();
        }

        // Then - Check that counter portion has entropy
        // For SMB3-compliant nonces, the first 8 bytes are a counter (little-endian)
        // so we check that the counter bytes change as expected
        Set<String> uniqueCounters = new HashSet<>();
        for (int i = 0; i < sampleSize; i++) {
            // Extract first 8 bytes as counter

   * desiredType}. The returned iterable's iterator does not support {@code remove()}.
   *
   * <p><b>{@code Stream} equivalent:</b> {@code stream.filter(type::isInstance).map(type::cast)}.
   * This does perform a little more work than necessary, so another option is to insert an
   * unchecked cast at some later point:
   *
   * {@snippet :
   * @SuppressWarnings("unchecked") // safe because of ::isInstance check