}

  public void testFrom() {
    Function<String, Integer> forward = Integer::parseInt;
    Function<Object, String> backward = toStringFunction();

    Converter<String, Number> converter = Converter.<String, Number>from(forward, backward);

    assertThat(converter.convert(null)).isNull();
    assertThat(converter.reverse().convert(null)).isNull();

        assertNull(ssoManager.getResponse(SsoResponseType.METADATA));
        assertNull(ssoManager.getResponse(SsoResponseType.LOGOUT));
        assertNull(ssoManager.logout(FessUserBean.empty()));
    }

    // Test backward compatibility: aad -> entraid mapping
    @Test
    public void test_getAuthenticator_aadMapsToEntraid() {
        // Register an authenticator with the new "entraid" name

        assertEquals(error, exception.getCause());
    }

    @Test
    public void test_constructorWithThrowableCause_BackwardCompatibility() {
        // Verify backward compatibility with Exception parameter
        String message = "SSO login failed";

        // Test with various Exception types
        IOException ioException = new IOException("Connection failed");

used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a
non-guaranteed backward compatible API for
[other languages](https://www.tensorflow.org/api_docs).

Keep up-to-date with release announcements and security updates by subscribing
to

        }
    }

    /**
     * Test that Set lookup behavior is identical to original array-based lookup.
     * This ensures backward compatibility.
     */
    @Test
    public void test_isSortField_behaviourIdenticalToArrayLookup() {
        String[] fields = { "score", "created", "modified" };
        queryFieldConfig.setSortFields(fields);

            final String[] extraQueries = parseExtraQueries(request);

            // Stream the response using enhanced flow (use legacy method when no filters for backward compatibility)
            final ChatResult result;
            if (fields.isEmpty() && extraQueries.length == 0) {

    /** Configuration key for Entra ID default roles. */
    protected static final String ENTRAID_DEFAULT_ROLES = "entraid.default.roles";

    // Legacy configuration keys for backward compatibility (Azure AD)
    /** Legacy configuration key for Azure AD state time-to-live. */
    protected static final String AAD_STATE_TTL = "aad.state.ttl";

    """
    Default lifespan context manager that runs on_startup and on_shutdown handlers.

    This is a copy of the Starlette _DefaultLifespan class that was removed
    in Starlette. FastAPI keeps it to maintain backward compatibility with
    on_startup and on_shutdown event handlers.

    Ref: https://github.com/Kludex/starlette/pull/3117
    """

    def __init__(self, router: "APIRouter") -> None:

	<component name="pingJob" class="org.codelibs.fess.job.PingSearchEngineJob" instance="prototype">
	</component>
	<component name="pythonJob" class="org.codelibs.fess.job.PythonJob" instance="prototype">
	</component>
	<!-- Backward Compatibility  -->
	<component name="pingEsJob" class="org.codelibs.fess.job.PingSearchEngineJob" instance="prototype">
	</component>

# Build with nvcc for CUDA and clang for host
common:cuda_nvcc --config=cuda
common:cuda_nvcc --action_env=TF_NVCC_CLANG="1"
common:cuda_nvcc --@local_config_cuda//:cuda_compiler=nvcc
# Old config for backward compatibility
common:nvcc_clang --config=cuda_nvcc

# Debug config
common:dbg -c dbg
# Only include debug info for files under tensorflow/, excluding kernels, to