}

    @Test
    @DisplayName("Test resolve in DFS flag toggles")
    void testResolveInDfsToggle() {
        // Initial state should be false
        assertFalse(testImplementation.isResolveInDfs());

        // Toggle to true
        testImplementation.setResolveInDfs(true);
        assertTrue(testImplementation.isResolveInDfs());

        // Toggle back to false
        testImplementation.setResolveInDfs(false);

        assertTrue(ex.getMessage().contains("failed"));
        verify(transport).hasCapability(42);
    }

    // Edge: disconnected status toggles
    @ParameterizedTest
    @DisplayName("isDisconnected reflects current mocked state")
    @ValueSource(booleans = { true, false })
    void isDisconnected_states(boolean disconnected) {

                    }
                } catch (Exception e) {
                    exceptions[index] = e;
                }
            });
        }

        // Start writer thread that toggles alive
        Thread writer = new Thread(() -> {
            try {
                for (int i = 0; i < 100; i++) {
                    dataStore.alive = !dataStore.alive;
                    Thread.yield();

            assertThrows(CIFSException.class, () -> ctx.verifyMIC(data, null));
        }

        @Test
        @DisplayName("dispose toggles state and is not idempotent")
        void testDisposeBehavior() throws Exception {
            DummySSPContext ctx = new DummySSPContext(new byte[] { 1 }, true, null, null, 0, false);
            ctx.dispose();

        NegTokenInit parsed = new NegTokenInit(init.toByteArray());
        assertArrayEquals(mechs, parsed.getMechanisms(), "Mechanism order must be preserved");
    }

    @Test
    @DisplayName("setContextFlag toggles bits correctly")
    void testSetAndGetContextFlags() {
        NegTokenInit init = new NegTokenInit();
        assertEquals(0, init.getContextFlags());

        init.setContextFlag(NegTokenInit.CONFIDENTIALITY, true);

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    code works without modifications against an installation of 1.15 or 2.0.
*   EagerTensor now supports numpy buffer interface for tensors.
*   Add toggles `tf.enable_control_flow_v2()` and `tf.disable_control_flow_v2()`
    for enabling/disabling v2 control flow.
*   Enable v2 control flow as part of `tf.enable_v2_behavior()` and
    `TF2_BEHAVIOR=1`.

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