break;
            }
        }
        assertTrue(foundTestMethod);
    }

    public void test_fillInStackTrace() {
        // Test that fillInStackTrace works properly
        JobNotFoundException exception = new JobNotFoundException("Fill stack trace test");

        Throwable filled = exception.fillInStackTrace();

        assertNotNull(filled);

        assertTrue(npe2.getMessage().contains("non-null"));
        verifyNoInteractions(mockDir);
    }

    /**
     * Sanity: implementing via an anonymous class works the same as a lambda.
     */
    @Test
    @DisplayName("anonymous class implementation behaves correctly")
    void anonymousClassImplementation() throws Exception {

  public void testLazyStackTraceWorksInProd() {
    // TODO(b/64442212): Remove this guard once lazyStackTrace() works in Java 9+.
    Integer javaVersion = Ints.tryParse(JAVA_SPECIFICATION_VERSION.value());
    if (javaVersion != null && javaVersion >= 9) {
      return;
    }
    // Obviously this isn't guaranteed in every environment, but it works well enough for now:
    assertTrue(lazyStackTraceIsLazy());
  }

  @J2ktIncompatible

            } catch (CIFSException e) {
                throw new RuntimeException(e);
            }
        }, "Multiple close operations should not cause issues");

        // Verify iterator still works after multiple closes
        assertFalse(emptyIterator.hasNext(), "Iterator should still work after multiple closes");
        assertNull(emptyIterator.next(), "Iterator should still return null after multiple closes");
    }

     *
     * @param id the ID of the scheduled job to start
     * @return JSON response indicating success or failure
     */
    // PUT /api/admin/scheduler/{id}/start
    @Execute(urlPattern = "{}/@word")
    public JsonResponse<ApiResult> put$start(final String id) {
        scheduledJobService.getScheduledJob(id).ifPresent(entity -> {
            if (!entity.isEnabled() || entity.isRunning()) {

	//	{
	//		outcode(int($1), &$2, int($4.Reg), &$6);
	//	}
	ADDD	F1, F2, F3

	//	LFCMP freg ',' freg
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	CMPEQD	F1, F2


	//
	// WORD
	//
	WORD	$1

	//
	// NOP
	//
	//	LNOP comma // asm doesn't support the trailing comma.
	//	{
	//		outcode(int($1), &nullgen, 0, &nullgen);
	//	}
	NOP

		the end of the term you are searching.
		<pre>Fess^100</pre>
	</dd>
	<dt>Fuzzy</dt>
	<dd>
		To do a fuzzy search use the "~" symbol at the end of a single word
		term. For example to search for a term similar in spelling to "Fess"
		use the fuzzy search:
		<pre>Fess~0.5</pre>
	</dd>

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

# Middleware { #middleware }

You can add middleware to **FastAPI** applications.

A "middleware" is a function that works with every **request** before it is processed by any specific *path operation*. And also with every **response** before returning it.

* It takes each **request** that comes to your application.
* It can then do something to that **request** or run any needed code.

</p>

<p>
Reads of memory locations larger than a single machine word
are encouraged but not required to meet the same semantics
as word-sized memory locations,
observing a single allowed write <i>w</i>.
For performance reasons,
implementations may instead treat larger operations
as a set of individual machine-word-sized operations
in an unspecified order.
This means that races on multiword data structures