assertNotNull(deserialized.getData());
    }

    /**
     * Test transformer with large data
     */
    public void test_transformerWithLargeData() {
        TestTransformer transformer = new TestTransformer("largeDataTransformer");

        // Create large response data
        byte[] largeBody = new byte[10 * 1024 * 1024]; // 10MB
        for (int i = 0; i < largeBody.length; i++) {

  "durations" : [ {
    "testProject" : "excludeRuleMergingBuild",
    "linux" : 232
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
  "durations" : [ {

}

const minReadBufferSize = 16
const maxConsecutiveEmptyReads = 100

// NewReaderSize returns a new [Reader] whose buffer has at least the specified
// size. If the argument io.Reader is already a [Reader] with large enough
// size, it returns the underlying [Reader].
func NewReaderSize(rd io.Reader, size int) *Reader {
	// Is it already a Reader?
	b, ok := rd.(*Reader)
	if ok && len(b.buf) >= size {
		return b
	}

        assertEquals(1L, crawlerContext.decrementAndGetAccessCount());

        // Test large increments
        for (int i = 0; i < 1000; i++) {
            crawlerContext.incrementAndGetAccessCount();
        }
        assertEquals(1001L, crawlerContext.getAccessCount());

        // Test large decrements
        for (int i = 0; i < 500; i++) {
            crawlerContext.decrementAndGetAccessCount();

	if len(b) == 0 {
		return []byte{}
	}

	// Past a certain chunk size it is counterproductive to use
	// larger chunks as the source of the write, as when the source
	// is too large we are basically just thrashing the CPU D-cache.
	// So if the result length is larger than an empirically-found
	// limit (8KB), we stop growing the source string once the limit

              <!-- Fix OutOfMemoryError under Travis. -->
              <extraJvmArgs>-Xms3500m -Xmx3500m -Xss1024k</extraJvmArgs>
              <sourceLevel>1.8</sourceLevel>
              <!-- Keep these timeouts very large because, if we hit the timeout, the tests silently pass :( -->
              <testTimeOut>86400 <!-- seconds --></testTimeOut>
              <testMethodTimeout>1440 <!-- minutes --></testMethodTimeout>

        assertTrue(urlFilter.match("https://example.com/"));
        assertFalse(urlFilter.match(""));
    }

    /**
     * Test memory efficiency with large number of patterns
     */
    public void test_largeNumberOfPatterns() {
        String sessionId = "test-session-028";
        urlFilter.init(sessionId);

        // Add many patterns

	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// We have to adjust the size of encrypted parts since encrypted parts
	// are slightly larger due to encryption overhead.
	// Further, we have to adjust the ETags of parts when using SSE-S3.
	// Due to AWS S3, SSE-S3 encrypted parts return the plaintext ETag

* Fix broken link in docs about OAuth 2.0 with scopes. PR [#275](https://github.com/tiangolo/fastapi/pull/275) by [@dmontagu](https://github.com/dmontagu).

* Refactor param extraction using Pydantic `Field`:
    * Large refactor, improvement, and simplification of param extraction from *path operations*.