*       CacheLoader#loadAll bulk loading implementations}
   * </ul>
   *
   * <p><b>Warning:</b> For any given key, every {@code loader} used with it should compute the same
   * value. Otherwise, a call that passes one {@code loader} may return the result of another call
   * with a differently behaving {@code loader}. For example, a call that requests a short timeout

    @Override
    boolean isPartialView() {
      return ImmutableMap.this.isPartialView();
    }

    @Override
    public int hashCode() {
      // ImmutableSet.of(value).hashCode() == value.hashCode(), so the hashes are the same
      return ImmutableMap.this.hashCode();
    }

    @Override
    UnmodifiableIterator<Entry<K, ImmutableSet<V>>> entryIterator() {

			t.Errorf("Test %d: %s: Expected to fail with error \"%v\", but instead failed with error \"%v\" instead.", i, instanceType, testCase.expectedError, actualErr)
			continue
		}
		// Test passes as expected, but the output values are verified for correctness here.
		if actualErr == nil {
			// Asserting whether the md5 output is correct.

	if t, ok := config.Tiers[tierName]; ok {
		return t.Type, true
	}
	return madmin.Unsupported, false
}

// Add adds tier to config if it passes all validations.
func (config *TierConfigMgr) Add(ctx context.Context, tier madmin.TierConfig, ignoreInUse bool) error {
	config.Lock()
	defer config.Unlock()

	// check if tier name is in all caps

##### Porque usar hashing de senha

Se o seu banco de dados for roubado, o ladrão não terá as senhas em texto simples dos seus usuários, apenas os hashes.

Assim, o ladrão não poderá tentar usar essas mesmas senhas em outro sistema (como muitos usuários usam a mesma senha em todos os lugares, isso seria perigoso).

            }
        }
    }

    /**
     * Performs a search operation using rank fusion across available searchers.
     * If only one searcher is available, uses the main searcher. Otherwise, performs
     * concurrent searches across multiple searchers and fuses the results.
     *
     * @param query the search query string
     * @param params search request parameters including pagination and filters

            // Test with concrete implementation
            assertDoesNotThrow(() -> concreteImplementation.replaceCache());
        }

        @Test
        @DisplayName("Should check if resolve hashes")
        void testIsResolveHashes() {
            // Test with mock
            when(mockReferralData.isResolveHashes()).thenReturn(true);
            assertTrue(mockReferralData.isResolveHashes());

     *     done | tee testoutput
     * - Move that testcases file to the appropriate name under testdata.
     *
     * The last test will take hours, and if it passes, the output will be empty.
     */
    doExtensiveTest("testdata/simplifypathnoprefixtests.txt");
  }

  private void doExtensiveTest(String resourceName) throws IOException {

    tester.testAllPublicInstanceMethods(BloomFilter.create(Funnels.unencodedCharsFunnel(), 100));
    tester.testAllPublicStaticMethods(BloomFilter.class);
  }

  /** Tests that we never get an optimal hashes number of zero. */
  public void testOptimalHashes() {
    for (int n = 1; n < 1000; n++) {
      for (double p = 0.1; p > 1e-10; p /= 10) {
        assertThat(BloomFilter.optimalNumOfHashFunctions(p)).isGreaterThan(0);

func diskCount(disks []StorageAPI) int {
	diskCount := 0
	for _, disk := range disks {
		if disk == nil {
			continue
		}
		diskCount++
	}
	return diskCount
}

// hashOrder - hashes input key to return consistent
// hashed integer slice. Returned integer order is salted
// with an input key. This results in consistent order.
// NOTE: collisions are fine, we are not looking for uniqueness