* network that does not allow them will throw an {@link IllegalArgumentException}.
   */
  boolean allowsParallelEdges();

  /**
   * Returns true if this network allows self-loops (edges that connect a node to itself).
   * Attempting to add a self-loop to a network that does not allow them will throw an {@link
   * IllegalArgumentException}.
   */

   *
   * <ul>
   *   <li>Its execution does not cause any observable side effects.
   *   <li>The computation is <i>consistent with equals</i>; that is, {@link Objects#equal
   *       Objects.equal}{@code (a, b)} implies that {@code predicate.apply(a) ==
   *       predicate.apply(b))}.
   * </ul>
   *
   * @throws NullPointerException if {@code input} is null and this predicate does not accept null
   *     arguments
   */

		Err:     "key with given key ID already exits",
	}

	// ErrKeyNotFound is an error returned by the KMS when trying to
	// use a key that does not exist.
	ErrKeyNotFound = Error{
		Code:    http.StatusNotFound,
		APICode: "kms:KeyNotFound",
		Err:     "key with given key ID does not exist",
	}

	// ErrDecrypt is an error returned by the KMS when the decryption
	// of a ciphertext failed.
	ErrDecrypt = Error{

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

# Is development environment here? (used for various purpose, you should set false if unknown)
development.here = false

# The title of environment (e.g. local or integration or production)
environment.title = Production

# Does it enable the Framework internal debug? (true only when emergency)
framework.debug = false

# one day: 86400000, three days: 259200000, five days: 432000000, one week: 604800000, one year: 31556926000

        if ( Character.isDigit(hostname.charAt(0)) ) {
            int i, len, dots;
            char[] data;

            i = dots = 0; /* quick IP address validation */
            len = hostname.length();
            data = hostname.toCharArray();
            while ( i < len && Character.isDigit(data[ i++ ]) ) {
                if ( i == len && dots == 3 ) {
                    // probably an IP address
                    return true;

    // 'swallowException' when the mock does not throw an exception.
    setupCloseable(false);
    doClose(mockCloseable, false, false);

    setupCloseable(false);
    doClose(mockCloseable, true, false);
  }

  public void testClose_closeableWithEatenException() throws IOException {
    // make sure that no exception is thrown if 'swallowException' is true
    // when the mock does throw an exception.
    setupCloseable(true);

              echo "TEMP_MAVEN_BIN_DIR=$maven_bin_dir" >> $GITHUB_ENV
            else
              echo "$maven_bin_dir does not exist."
              exit 1;
            fi
          else
            echo "${{ env.TAR_BALL }} does not exist."
            exit 1;
          fi
        env:
          TAR_BALL: apache-maven/target/apache-maven-bin.tar.gz

      - name: Clean with Maven

With Java serialization, even minor changes to a class (like adding a field) can break compatibility.

- **Cross-Language Compatibility:**
Java serialization is inherently Java-centric and does not support cross-language scenarios well.

- **Type Safety:**
Java serialization does not enforce type safety as strictly as some alternatives, potentially leading to runtime errors.

## Decision

We do not use Java serialization.

labels.dict_stopwords_button_download = Download
labels.dict_stopwords_button_upload = Upload
labels.dict_stopwords_file = Stopwords File
labels.boost_document_rule_configuration=Doc Boost
labels.boost_document_rule_title_details=Doc Boost
labels.boost_document_rule_list_url_expr=Condition
labels.boost_document_rule_url_expr=Condition
labels.boost_document_rule_boost_expr=Boost Expr