}

  /**
   * Provides a check of whether an exception type is valid for use with {@link
   * FuturesGetChecked#getChecked(Future, Class)}, possibly using caching.
   *
   * <p>Uses reflection to gracefully fall back to when certain implementations aren't available.
   */
  private static final class GetCheckedTypeValidatorHolder {
    static final GetCheckedTypeValidator BEST_VALIDATOR = getBestValidator();

Das ist nützlich, wenn Sie die gültigen Feld-/Attribut-Namen von vorneherein nicht wissen (was für ein Pydantic-Modell notwendig ist).

In diesem Fall können Sie `typing.Dict` verwenden (oder nur `dict` in Python 3.9 und darüber):

{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}

## Zusammenfassung

cygwin=false
darwin=false
mingw=false
case "$(uname)" in
CYGWIN*) cygwin=true ;;
MINGW*) mingw=true ;;
Darwin*)
  darwin=true
  # Use /usr/libexec/java_home if available, otherwise fall back to /Library/Java/Home
  # See https://developer.apple.com/library/mac/qa/qa1170/_index.html
  if [ -z "$JAVA_HOME" ]; then
    if [ -x "/usr/libexec/java_home" ]; then
      JAVA_HOME="$(/usr/libexec/java_home)"

  }

  /**
   * Provides a check of whether an exception type is valid for use with {@link
   * FuturesGetChecked#getChecked(Future, Class)}, possibly using caching.
   *
   * <p>Uses reflection to gracefully fall back to when certain implementations aren't available.
   */
  private static final class GetCheckedTypeValidatorHolder {
    static final String CLASS_VALUE_VALIDATOR_NAME =

		xl, err := entry.xlmeta()
		if err != nil {
			continue
		}
		objsValid++

		// Add all valid to candidates.
		r.candidates = append(r.candidates, xl.versions)

		// We select the first object we find as a candidate and see if all match that.
		// This is to quickly identify if all agree.
		if selected == nil {
			selected = entry
			objsAgree = 1
			continue
		}

        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);
    }

     * >60% faster than the Euclidean algorithm in benchmarks.
     */
    int aTwos = Long.numberOfTrailingZeros(a);
    a >>= aTwos; // divide out all 2s
    int bTwos = Long.numberOfTrailingZeros(b);
    b >>= bTwos; // divide out all 2s
    while (a != b) { // both a, b are odd
      // The key to the binary GCD algorithm is as follows:
      // Both a and b are odd. Assume a > b; then gcd(a - b, b) = gcd(a, b).

            update(3, charToThreeUtf8Bytes(c));
          } else {
            int codePoint = Character.codePointAt(input, i);
            if (codePoint == c) {
              // fall back to JDK getBytes instead of trying to handle invalid surrogates ourselves
              putBytes(input.subSequence(i, utf16Length).toString().getBytes(charset));
              return this;
            }
            i++;

	// expected quorum, proceed with EcIndex based
	// disk order.
	if inconsistent < fi.Erasure.ParityBlocks {
		return shuffledDisks, shuffledPartsMetadata
	}

	// fall back to original distribution based order.
	return shuffleDisksAndPartsMetadata(disks, metaArr, fi)
}

// Return shuffled partsMetadata depending on fi.Distribution.

///

## Passwort-Hashing

„Hashing“ bedeutet: Konvertieren eines Inhalts (in diesem Fall eines Passworts) in eine Folge von Bytes (ein schlichter String), die wie Kauderwelsch aussieht.

Immer wenn Sie genau den gleichen Inhalt (genau das gleiche Passwort) übergeben, erhalten Sie genau den gleichen Kauderwelsch.