entry.setValue("two"); // changes the iterator's current entry value
    assertThat(map.get(1)).isEqualTo("two");
    assertEquals(Integer.valueOf(1), map.inverse().get("two"));
    iterator.remove(); // removes the updated entry
    assertTrue(map.isEmpty());
  }

  public void testInsertionOrder() {
    BiMap<String, Integer> map = HashBiMap.create();
    map.put("foo", 1);
    map.put("bar", 2);
    map.put("quux", 3);

errors.login.failure = Logowanie nie powiodło się.
errors.app.illegal.transition = Nieprawidłowe przejście. Spróbuj ponownie.
errors.app.db.already.deleted = Mogło zostać już usunięte przez inny proces. Spróbuj ponownie.
errors.app.db.already.updated = Mogło zostać już zaktualizowane przez inny proces. Spróbuj ponownie.
errors.app.db.already.exists = Dane już istnieją. Spróbuj ponownie.
errors.app.double.submit.request = To żądanie mogło zostać już przetworzone. Spróbuj ponownie.

          <defaultValue>true</defaultValue>
        </field>
        <field>
          <name>updatePolicy</name>
          <version>1.0.0</version>
          <description>
            The frequency for downloading updates - can be "always", "daily" (default), "interval:XXX" (in minutes) or
            "never" (only if it doesn't exist locally).
          </description>
          <type>String</type>
        </field>
        <field>

 * to a BloomFilter of M bits and k hash functions. These strategies are part of the serialized form
 * of the Bloom filters that use them, thus they must be preserved as is (no updates allowed, only
 * introduction of new versions).
 *
 * <p>Important: the order of the constants cannot change, and they cannot be deleted - we depend on
 * their ordinal for BloomFilter serialization.
 *

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

if "dev" in __version__:   # pylint: disable=undefined-variable
  _logging.warning("""

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

  Please upgrade your code to TensorFlow 2.0:
    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

- **[Community Resources](https://gradle.org/resources/)** - Find more community-contributed materials to expand your knowledge.

> 🌟 **Stay connected with the Gradle Community and access the latest news, training, and updates via [Slack](https://gradle.org/slack-invite), [Forum](https://discuss.gradle.org/), and our [Newsletter](https://newsletter.gradle.org)**.

<br><br>
<div align="center" style="margin-top: 20px;">

   * This implementation requires O(|N|) time. Classes extending this one may manually keep track of
   * the number of edges as the graph is updated, and override this method for better performance.
   */
  protected long edgeCount() {
    long degreeSum = 0L;
    for (N node : nodes()) {
      degreeSum += degree(node);
    }

    - tutorial/request-files.md
    - tutorial/request-forms-and-files.md
    - tutorial/handling-errors.md
    - tutorial/path-operation-configuration.md
    - tutorial/encoder.md
    - tutorial/body-updates.md
    - Dependencies:
      - tutorial/dependencies/index.md
      - tutorial/dependencies/classes-as-dependencies.md
      - tutorial/dependencies/sub-dependencies.md

    }

    /**
     * Create exception for retry attempt
     *
     * @param original the original exception
     * @param attemptNumber the current attempt number
     * @return new exception with updated attempt information
     */
    public static SmbOperationException forRetry(SmbOperationException original, int attemptNumber) {

        buffer[8] = 10; // Change some data

        int bytesRead2 = response.readDataWireFormat(buffer, 0, 20);
        FileSystemInformation info2 = response.getInfo();

        // Info should be updated
        assertNotSame(info1, info2);
    }

    @Test
    void testReadDataWireFormat_WithOffset() throws Exception {
        // Test reading data with non-zero buffer offset