// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.

All the data conversion, validation, documentation, etc. will still work as normally.

That way, we can declare just the differences between the models (with plaintext `password`, with `hashed_password` and without password):

{* ../../docs_src/extra_models/tutorial002_py310.py hl[7,13:14,17:18,21:22] *}

## `Union` or `anyOf` { #union-or-anyof }

      ).build()
  }

  private fun buildServerSslSocketFactory(): SSLSocketFactory {
    // The test uses JDK default SSL Context instead of the Platform provided one
    // as Conscrypt seems to have some differences, we only want to test client side here.
    return try {
      val keyManager =
        newKeyManager(
          null,
          serverCert,
          serverIntermediateCa.certificate,
        )

        // Then
        assertFalse(Arrays.equals(decKey300, decKey311), "Decryption keys should be different for different dialects");
    }

    @Test
    @DisplayName("Should derive different keys for different purposes with same dialect")
    void testDeriveKeys_DifferentPurposes() {
        // Given
        int dialect = Smb2Constants.SMB2_DIALECT_0311;

import static eu.maveniverse.domtrip.maven.MavenPomElements.ModelVersions.MODEL_VERSION_4_1_0;

/**
 * Strategy for applying Maven inference optimizations.
 * For 4.0.0 models: applies limited inference (parent-related only).
 * For 4.1.0+ models: applies full inference optimizations.
 * Removes redundant information that can be inferred by Maven during model building.
 */
@Named
@Singleton
@Priority(30)

### Concorrência e hambúrgueres { #concurrency-and-burgers }

Essa ideia de código **assíncrono** descrita acima é às vezes chamada de **"concorrência"**. Isso é diferente de **"paralelismo"**.

   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}
   * values (i.e. it is the square root of the mean of the squares of the vertical distances between

	errArithInvalidOperator = errors.New("invalid arithmetic operator")
	errArithDivideByZero    = errors.New("cannot divide by 0")

	errCmpMismatchedTypes     = errors.New("cannot compare values of different types")
	errCmpInvalidBoolOperator = errors.New("invalid comparison operator for boolean arguments")
)

// Value represents a value of restricted type reduced from an

    #  Does it check differences of column-def order?
    #  (except added or deleted columns)
    #
    #; isCheckColumnDefOrderDiff = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isCheckDbCommentDiff: (NotRequired - Default false)
    #  Does it check differences of table or column or others comment?
    #

        byte[] encrypted2 = storage.encryptCredentials(plaintext.clone());

        // Should produce different ciphertexts due to random IV
        assertFalse(Arrays.equals(encrypted1, encrypted2), "Different encryptions should produce different ciphertexts");

        // But both should decrypt to same plaintext
        char[] decrypted1 = storage.decryptCredentials(encrypted1);