For now, you just need to know that `Annotated` exists, and that it's standard Python. 😎

Later you will see how **powerful** it can be.

/// tip

The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨

        }
        return toReturn;
      }

      @GuardedBy("lock")
      /*
       * The GuardedBy checker warns us that we're not holding cancellationDelegate.lock. But in
       * fact we are holding it because it is the same as this.lock, which we know we are holding,
       * thanks to @GuardedBy above. (cancellationDelegate.lock is initialized to this.lock in the
       * call to `new SupplantableFuture` below.)

    List<Integer> fromList = Lists.newLinkedList(SOME_SEQUENTIAL_LIST);
    List<String> list = transform(fromList, SOME_FUNCTION);
    assertTransformIterator(list);
  }

  /**
   * This test depends on the fact that {@code AbstractSequentialList.iterator} transforms the
   * {@code iterator()} call into a call on {@code listIterator(int)}. This is fine because the
   * behavior is clearly documented so it's not expected to change.
   */

    List<Integer> fromList = Lists.newLinkedList(SOME_SEQUENTIAL_LIST);
    List<String> list = transform(fromList, SOME_FUNCTION);
    assertTransformIterator(list);
  }

  /**
   * This test depends on the fact that {@code AbstractSequentialList.iterator} transforms the
   * {@code iterator()} call into a call on {@code listIterator(int)}. This is fine because the
   * behavior is clearly documented so it's not expected to change.
   */

  // that contains line breaks, then the validation failure message will also be produced as if the messageExpression field were unset, and
  // the fact that messageExpression produced an empty string/string with only spaces/string with line breaks will be logged.

        default_value = value if value is not inspect.Signature.empty else RequiredParam
        if is_path_param:
            # We might check here that `default_value is RequiredParam`, but the fact is that the same
            # parameter might sometimes be a path parameter and sometimes not. See
            # `tests/test_infer_param_optionality.py` for an example.

     *
     * Since we can't ACK settings on the current reader thread (the reader thread can't write) we
     * execute all peer settings logic on the writer thread. This relies on the fact that the
     * writer task queue won't reorder tasks; otherwise settings could be applied in the opposite
     * order than received.
     */
    fun applyAndAckSettings(
      clearPrevious: Boolean,

	FABSD F0, F14                              // 0ec0601e
	//TODO FACGE F25, F16, F0                  // 00ee797e
	//TODO VFACGE V11.S2, V15.S2, V9.S2        // e9ed2b2e
	//TODO FACGT F20, F16, F27                 // 1beef47e
	//TODO VFACGT V15.S4, V25.S4, V22.S4       // 36efaf6e
	//TODO VFADD V21.D2, V10.D2, V21.D2        // 55d5754e
	FADDS F12, F2, F10                         // 4a282c1e

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others).

func discard(r io.Reader, n int64) error {
	// If possible, Seek to the last byte before the end of the data section.
	// Do this because Seek is often lazy about reporting errors; this will mask
	// the fact that the stream may be truncated. We can rely on the
	// io.CopyN done shortly afterwards to trigger any IO errors.
	var seekSkipped int64 // Number of bytes skipped via Seek
	if sr, ok := r.(io.Seeker); ok && n > 1 {