private static final DateTimeFormatter ISO_FORMATTER = DateTimeFormatter.ISO_INSTANT;

    // Patterns for sensitive data - compiled once and cached
    private static final Pattern PASSWORD_PATTERN = Pattern.compile(
            "(?i)(password|passwd|pwd|secret|token|key|credential|auth)([\"']?\\s*[:=]\\s*[\"']?)([^\"',\\s]+)", Pattern.CASE_INSENSITIVE);

      uses: github/codeql-action/analyze@v4
      with:
        config-file: ./.github/codeql/codeql-config.yml

    - name: Cleanup Gradle Cache
      # Cleans up the Gradle caches before being cached
      run: |
        rm -f ~/.gradle/caches/modules-2/modules-2.lock
        rm -f ~/.gradle/caches/modules-2/gc.properties

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

{* ../../docs_src/extending_openapi/tutorial001_py310.py hl[13:14,25:26] *}

### Override the method { #override-the-method }

    firstException = expected;
    // Second time should also fail, with a cached causal chain.
    expected = assertThrows(PotentialDeadlockException.class, () -> lockA.lock());
    checkMessage(expected, "LockB -> LockA", "LockA -> LockB");
    // The causal chain should be cached.
    assertThat(expected.getCause()).isEqualTo(firstException.getCause());
    // lockA should work after lockB is released.

    firstException = expected;
    // Second time should also fail, with a cached causal chain.
    expected = assertThrows(PotentialDeadlockException.class, () -> lockA.lock());
    checkMessage(expected, "LockB -> LockA", "LockA -> LockB");
    // The causal chain should be cached.
    assertThat(expected.getCause()).isEqualTo(firstException.getCause());
    // lockA should work after lockB is released.

        // Initialize without container
        emptyGenerator = new EmptyGenerator();

        // Test that isAvailable returns true for EmptyGenerator
        assertTrue(emptyGenerator.isAvailable());
        // Test cached availability
        assertTrue(emptyGenerator.isAvailable());
    }

    @Test
    public void test_isTarget() {
        // Initialize without container
        emptyGenerator = new EmptyGenerator();

        assertDoesNotThrow(() -> dfsImpl.cache(mockContext, "invalidpath", mockReferral));
    }

    @Test
    void testCache_ValidPath() {
        // Scenario: A valid referral is cached.
        DfsReferralDataInternal mockReferral = mock(DfsReferralDataInternal.class);
        when(mockReferral.getPathConsumed()).thenReturn(15); // e.g., "\\\\server\\share".length()

			parts[i+1] = pe.String()
		}
		e.pathString = strings.Join(parts, "")
	}
	return e.pathString
}

// StripTableAlias removes a table alias from the path. The result is also
// cached for repeated lookups during SQL query evaluation.
func (e *JSONPath) StripTableAlias(tableAlias string) []*JSONPathElement {
	if e.strippedTableAlias == tableAlias {
		return e.strippedPathExpr
	}

  }

  /**
   * {@inheritDoc}
   *
   * <p>This implementation of {@code getAllPresent} lacks any insight into the internal cache data
   * structure, and is thus forced to return the query keys instead of the cached keys. This is only
   * possible with an unsafe cast which requires {@code keys} to actually be of type {@code K}.
   *
   * @since 11.0
   */
  /*

                throw new ComponentConfigurationException(configuration, "Cannot set default", e);
            }
        }
    }

    /**
     * Sets a property in the bean using cached lookups for improved performance.
     */
    public void setProperty(Object bean, String propertyName, Class<?> valueType, PlexusConfiguration configuration)
            throws ComponentConfigurationException {