String json2 = result2.toString().replaceAll("[\\s\\n]", "");
        assertEquals(json1, json2);
    }

    public void test_execute_withVeryLargeBoost() {
        // Test execute method with very large boost value
        QueryContext context = new QueryContext("*:*", false);
        MatchAllDocsQuery query = new MatchAllDocsQuery();
        float boost = Float.MAX_VALUE;

	ANDW	$0x6006000060060, R27, R5                        // ERROR "cannot use REGTMP as source"
	STP	(R3, R4), 0x1234567(R27)                         // ERROR "REGTMP used in large offset store"
	LDP	0x1234567(R27), (R3, R4)                         // ERROR "REGTMP used in large offset load"
	STP	(R26, R27), 700(R2)                              // ERROR "cannot use REGTMP as source"

Import the `Response` class (sub-class) you want to use and declare it in the *path operation decorator*.

For large responses, returning a `Response` directly is much faster than returning a dictionary.

     */
    abstract SetBuilderImpl<E> copy();

    /**
     * Call this before build(). Does a final check on the internal data structures, e.g. shrinking
     * unnecessarily large structures or detecting previously unnoticed hash flooding.
     */
    SetBuilderImpl<E> review() {
      return this;
    }

    abstract ImmutableSet<E> build();
  }

 * it requires that the complete universe of rows and columns be specified at construction time.
 * Second, it is always backed by an array large enough to hold a value for every possible
 * combination of row and column keys. (This is rarely optimal unless the table is extremely dense.)

              <!-- 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

	}
}

// largeReader returns an invalid count that is larger than the number
// of bytes requested.
type largeReader struct{}

func (largeReader) Read(p []byte) (int, error) {
	return len(p) + 1, nil
}

// Test that the scanner doesn't panic and returns ErrBadReadCount
// on a reader that returns an impossibly large count of bytes read (issue 38053).
func TestLargeReader(t *testing.T) {

        generator.setCommandTimeout(0L);
        assertTrue(true);

        // Test negative timeout
        generator.setCommandTimeout(-1L);
        assertTrue(true);

        // Test very large timeout
        generator.setCommandTimeout(Long.MAX_VALUE);
        assertTrue(true);

        // Test destroy timeout
        generator.setCommandDestroyTimeout(0L);
        assertTrue(true);

  }

  /**
   * Read 100 MiB of 'a' chars. This was really slow due to a performance bug in [MultipartReader],
   * and will be really slow if we regress the fix for that.
   */
  @Test
  fun `reading a large part with small byteCount`() {
    val multipartBody =
      MultipartBody
        .Builder("foo")
        .addPart(
          headersOf("header-name", "header-value"),
          object : RequestBody() {