It improves editor support for Pydantic models, with:

* auto-completion
* type checks
* refactoring
* searching
* inspections

///

## Use the model

Inside of the function, you can access all the attributes of the model object directly:

{!> ../../docs_src/body/tutorial002_py310.py!}

                Elements inSectionElements = new Elements(inSection);
                section.html(inSectionElements.outerHtml());
                inSectionElements.remove();

                if (next == null) {
                    break;
                } else {
                    inSection.clear();
                    inSection.add(next);
                    heading = next;
                }

  /**
   * Computes the optimal k (number of hashes per element inserted in Bloom filter), given the
   * expected insertions and total number of bits in the Bloom filter.
   *
   * <p>See http://en.wikipedia.org/wiki/File:Bloom_filter_fp_probability.svg for the formula.
   *
   * @param n expected insertions (must be positive)
   * @param m total number of bits in Bloom filter (must be positive)
   */
  @VisibleForTesting

   * for insertions.
   */
  static <K, V> Map<K, V> preservesInsertionOrderOnPutsMap() {
    return Maps.newLinkedHashMap();
  }

  /**
   * Returns the platform preferred map implementation that preserves insertion order when used only
   * for insertions, with a hint for how many entries to expect.
   */

   * for insertions.
   */
  static <K extends @Nullable Object, V extends @Nullable Object>
      Map<K, V> preservesInsertionOrderOnPutsMap() {
    return CompactHashMap.create();
  }

  /**
   * Returns the platform preferred map implementation that preserves insertion order when used only
   * for insertions, with a hint for how many entries to expect.
   */

   * for insertions.
   */
  static <K extends @Nullable Object, V extends @Nullable Object>
      Map<K, V> preservesInsertionOrderOnPutsMap() {
    return Maps.newLinkedHashMap();
  }

  /**
   * Returns the platform preferred map implementation that preserves insertion order when used only
   * for insertions, with a hint for how many entries to expect.
   */

    double actualReportedFpp = bf.expectedFpp();
    assertThat(actualReportedFpp).isWithin(0.00033).of(expectedReportedFpp);
  }

  /** Sanity checking with many combinations of false positive rates and expected insertions */
  public void testBasic() {
    for (double fpr = 0.0000001; fpr < 0.1; fpr *= 10) {
      for (int expectedInsertions = 1; expectedInsertions <= 10000; expectedInsertions *= 10) {

//    - has the latest xl.meta but one or more parts are corrupt
//
// 5. __missingParts__       - has the latest copy of xl.meta but has some parts
// missing.  This is identified separately since this may need manual
// inspection to understand the root cause. E.g, this could be due to
// backend filesystem corruption.

// listOnlineDisks - returns
// - a slice of disks where disk having 'older' xl.meta (or nothing)
// are set to nil.

            else:
                # It would probably make more sense for all response classes to have an
                # explicit default status_code, and to extract it from them, instead of
                # doing this inspection tricks, that would probably be in the future
                # TODO: probably make status_code a default class attribute for all
                # responses in Starlette

    assertFalse(manager.isHealthy());
    assertTrue(listener.stoppedCalled);
    assertTrue(listener.failedServices.isEmpty());
    // check that our NoOpService is not directly observable via any of the inspection methods or
    // via logging.
    assertEquals("ServiceManager{services=[]}", manager.toString());
    assertTrue(manager.servicesByState().isEmpty());
    assertTrue(manager.startupTimes().isEmpty());