n = in.read(b, off + i, len - i);
            if (n <= 0) {
                break;
            }
            i += n;
        }

        return i;
    }

    /* state values
     * 0 - not connected
     * 1 - connecting
     * 2 - run connected
     * 3 - connected
     * 4 - error
     */
    int state = 0;

    String name = "Transport" + id++;
    Thread thread;

     *       unsafe and we'd have seen our thread as the value. This state is also why a new
     *       ThreadConfinedTaskQueue object must be created for each inline execution, because
     *       observing a null thread does not mean the object is safe to reuse.
     *   <li>If this field's value is some other thread object, we know that it's not our thread.
     *   <li>If this field's value == null because it originally belonged to another thread and that

     */
    public void running() {}

    /**
     * Called when the service transitions to the {@linkplain State#STOPPING STOPPING} state. The
     * only valid values for {@code from} are {@linkplain State#STARTING STARTING} or {@linkplain
     * State#RUNNING RUNNING}. This occurs when {@link Service#stopAsync} is called.
     *

   * @param value the value to write
   */
  static void store64(byte[] sink, int offset, long value) {
    // We don't want to assert in production code.
    assert offset >= 0 && offset + 8 <= sink.length;
    // Delegates to the fast (unsafe)version or the fallback.
    byteArray.putLongLittleEndian(sink, offset, value);
  }

  /**
   * Load 4 bytes from the provided array at the indicated offset.
   *

     *
     * @param key the context key
     * @param value the context value
     * @return this exception for chaining
     */
    public SmbOperationException withContext(String key, Object value) {
        this.context.put(key, value);
        return this;
    }

    /**
     * Add multiple context values
     *
     * @param contextMap the context map to add

            assertArrayEquals(originalCiphers, decodedContext.getCiphers());
        }
    }

    @Nested
    @DisplayName("Constant Value Tests")
    class ConstantValueTests {

        @Test
        @DisplayName("Should have correct constant values")
        void testConstantValues() {
            assertEquals(0x2, EncryptionNegotiateContext.NEGO_CTX_ENC_TYPE);

        // SmbInfoAllocation.decode() always returns 20 bytes regardless of len parameter
        assertEquals(20, bytesRead);
        assertNotNull(response.getInfo());

        // The info should be created with zero values
        SmbInfoAllocation info = (SmbInfoAllocation) response.getInfo();
        assertEquals(0, info.getCapacity());
        assertEquals(0, info.getFree());
    }

    @Test

        // Can still have more elements
        assertTrue(response.hasMoreElements());
    }

    @Test
    @DisplayName("Test reset method")
    void testReset() {
        // Set some values
        response.setDataCount(50);

        // Call reset
        response.reset();

        // After reset, hasMore should be true
        assertTrue(response.hasMoreElements());
    }

{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

#### About `**user_dict` { #about-user-dict }

`UserInDB(**user_dict)` means:

*Pass the keys and values of the `user_dict` directly as key-value arguments, equivalent to:*

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],

TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you
are working with. When loading untrusted checkpoints, the values of the traced
variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed