Entry<Object, Object> entry = warmed.get(i - WARMUP_MIN);
        assertTrue(cache.asMap().containsKey(entry.getKey()));
        assertTrue(cache.asMap().containsValue(entry.getValue()));
        // this getUnchecked() call shouldn't be a cache miss; verified below
        assertEquals(entry.getValue(), cache.getUnchecked(entry.getKey()));
      }
      assertEquals(WARMUP_SIZE, cache.stats().missCount());
      checkValidState(cache);
    }

      return empty;
    }
    try {
      return fromEntryArrayCheckingBucketOverflow(n, entryArray, throwIfDuplicateKeys);
    } catch (BucketOverflowException e) {
      // probable hash flooding attack, fall back to j.u.HM based implementation and use its
      // implementation of hash flooding protection
      return JdkBackedImmutableMap.create(n, entryArray, throwIfDuplicateKeys);
    }
  }

	for i, c := range b {
		if 148 <= i && i < 156 {
			c = ' ' // Treat the checksum field itself as all spaces.
		}
		unsigned += int64(c)
		signed += int64(int8(c))
	}
	return unsigned, signed
}

// reset clears the block with all zeros.
func (b *block) reset() {
	*b = block{}
}

type headerV7 [blockSize]byte

     * TODO(lowasser): consider checking for Multiset here
     */
    // Don't refer to ImmutableSortedSet by name so it won't pull in all that code
    if (elements instanceof ImmutableSet && !(elements instanceof SortedSet)) {
      @SuppressWarnings("unchecked") // all supported methods are covariant
      ImmutableSet<E> set = (ImmutableSet<E>) elements;
      if (!set.isPartialView()) {
        return set;
      }

work.  (Executables containing this object code plus portions of the
Library will still fall under Section 6.)

  Otherwise, if the work is a derivative of the Library, you may
distribute the object code for the work under the terms of Section 6.
Any executables containing that work also fall under Section 6,
whether or not they are linked directly with the Library itself.

Beispielsweise kann `dependency_c` von `dependency_b` und `dependency_b` von `dependency_a` abhängen:

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[6,14,22] *}

Und alle können `yield` verwenden.

In diesem Fall benötigt `dependency_c` zum Ausführen seines Exit-Codes, dass der Wert von `dependency_b` (hier `dep_b` genannt) verfügbar ist.

Und wiederum benötigt `dependency_b` den Wert von `dependency_a` (hier `dep_a` genannt) für seinen Exit-Code.

            }
            if (request == null || chainedResponse != null && chainedResponse.isReceived()) {
                return chainedResponse;
            }

            // fall trough if the tree connection is already established
            // and send it as a separate request instead
            String svc = null;
            final int t = this.tid;
            request.setTid(t);

   *       </ul>
   *   <li>another java.util.Set delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

Test the Spark installation by running the following compute intensive example, which calculates pi by “throwing darts” at a circle. The program generates points in the unit square ((0,0) to (1,1)) and counts how many points fall within the unit circle within the square. The result approximates pi.

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.

herself in a long, low hall, which was lit up by a row of lamps
hanging from the roof.

  There were doors all round the hall, but they were all locked;
and when Alice had been all the way down one side and up the
other, trying every door, she walked sadly down the middle,
wondering how she was ever to get out again.

  Suddenly she came upon a little three-legged table, all made of