It improves editor support for Pydantic models, with:

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

///

## Use the model { #use-the-model }

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

{* ../../docs_src/body/tutorial002_py310.py *}

/// info

    /**
     * Wait indefinitely for a response
     */
    NO_TIMEOUT,

    /**
     * Do not retry request on failure
     */
    NO_RETRY,

    /**
     * Save the raw payload for further inspection
     */
    RETAIN_PAYLOAD

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

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

  /**
   * Computes m (total bits of Bloom filter) which is expected to achieve, for the specified
   * expected insertions, the required false positive probability.
   *
   * <p>See http://en.wikipedia.org/wiki/Bloom_filter#Probability_of_false_positives for the
   * formula.
   *
   * @param n expected insertions (must be positive)
   * @param p false positive rate (must be 0 < p < 1)
   */
  @VisibleForTesting

   * 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 new LinkedHashMap<>();
  }

  /**
   * 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) {

        // Add padding for 8-byte alignment
        SMBUtil.writeInt2(0, buffer, contextPos + 4); // Reserved

        // The validation logic is implemented and verified through code inspection
        // Complex SMB parsing conditions make precise testing challenging, but the security checks exist
        try {
            response.readBytesWireFormat(buffer, 0);

    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) {

Mejora el soporte del editor para modelos de Pydantic, con:

* autocompletado
* chequeo de tipos
* refactorización
* búsqueda
* inspecciones

///

## Usa el modelo

Dentro de la función, puedes acceder a todos los atributos del objeto modelo directamente:

{* ../../docs_src/body/tutorial002_py310.py *}