BigInteger bigY = BigInteger.valueOf(y);
    BigDecimal bigMean =
        new BigDecimal(bigX.add(bigY)).divide(BigDecimal.valueOf(2), BigDecimal.ROUND_FLOOR);
    // parseInt blows up on overflow as opposed to intValue() which does not.
    return Integer.parseInt(bigMean.toString());
  }

  private static boolean fitsInInt(BigInteger big) {
    return big.bitLength() <= 31;
  }

# Set lld as the linker.
build:cuda_clang --host_linkopt="-fuse-ld=lld"
build:cuda_clang --host_linkopt="-lm"
build:cuda_clang --linkopt="-fuse-ld=lld"
build:cuda_clang --linkopt="-lm"

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.
build:cuda_clang_official --config=cuda_clang
build:cuda_clang_official --repo_env=HERMETIC_CUDA_VERSION="12.5.1"

      "FINE: Q10000 finished run in   0 µs: task one",
    )
  }

  /**
   * The runner doesn't hold references to its queues! Otherwise we'd need a mechanism to clean them
   * up when they're no longer needed and that's annoying. Instead the task runner only tracks which
   * queues have work scheduled.
   */
  @Test fun activeQueuesContainsOnlyQueuesWithScheduledTasks() {

   * Catches a bug where when constructing a service manager failed, later interactions with the
   * service could cause IllegalStateExceptions inside the partially constructed ServiceManager.
   * This ISE wouldn't actually bubble up but would get logged by ExecutionQueue. This obfuscated
   * the original error (which was not constructing ServiceManager correctly).
   */
  public void testPartiallyConstructedManager() {

    ```bash
    python tf_doctest.py --file=<file_path>
    ```

    This will run it using your installed version of TensorFlow. To be sure
    you're running the same code that you're testing:

    *   Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/)
        `pip install -U tf-nightly`
    *   Rebase your pull request onto a recent pull from
        [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.

    return try {
      reader!!.processNextFrame()
      receivedCloseCode == -1
    } catch (e: Exception) {
      failWebSocket(e = e)
      false
    }
  }

  /**
   * Clean up and publish necessary close events when the reader is done. Invoked only by the reader
   * thread.
   */
  fun finishReader() {
    val failed: Boolean
    val code: Int
    val reason: String?

                  for (Integer node : network.nodes()) {
                    Set<Integer> unused = network.successors(node);
                  }
                  /*
                   * Also look up an earlier node so that, if the graph is using MapRetrievalCache,
                   * we read one of the fields declared in that class.
                   */
                  Set<Integer> unused = network.successors(first);

      array[j] = tmp;
    }
  }

  /**
   * Performs a right rotation of {@code array} of "distance" places, so that the first element is
   * moved to index "distance", and the element at index {@code i} ends up at index {@code (distance
   * + i) mod array.length}. This is equivalent to {@code Collections.rotate(Chars.asList(array),
   * distance)}, but is considerably faster and avoids allocation and garbage collection.
   *

      array[j] = tmp;
    }
  }

  /**
   * Performs a right rotation of {@code array} of "distance" places, so that the first element is
   * moved to index "distance", and the element at index {@code i} ends up at index {@code (distance
   * + i) mod array.length}. This is equivalent to {@code Collections.rotate(Shorts.asList(array),
   * distance)}, but is considerably faster and avoids allocation and garbage collection.
   *

* **Validate** the data making sure that the max length is 50 characters
* Show a **clear error** for the client when the data is not valid
* **Document** the parameter in the OpenAPI schema *path operation* (so it will show up in the **automatic docs UI**)

## Alternative (old): `Query` as the default value