#!/bin/sh

FESS_CLASSPATH=$FESS_HOME/lib/classes

# JAVA_OPTS is not a built-in JVM mechanism but some people think it is so we
# warn them that we are not observing the value of $JAVA_OPTS
if [ ! -z "$JAVA_OPTS" ]; then
  echo -n "warning: ignoring JAVA_OPTS=$JAVA_OPTS; "
  echo "pass JVM parameters via FESS_JAVA_OPTS"
fi

if [ "x$FESS_MIN_MEM" = "x" ]; then
    FESS_MIN_MEM=256m
fi
if [ "x$FESS_MAX_MEM" = "x" ]; then
    FESS_MAX_MEM=2g

 *
 * @param <B> The concrete type of this builder (the 'self-type'). All the Builder methods of this
 *     class (such as {@link #named(String)}) return this type, so that Builder methods of more
 *     derived classes can be chained onto them without casting.
 * @param <G> The type of the generator to be passed to testers in the generated test suite. An

  protected void setUp() throws Exception {
    // Load the "normal" copy of SettableFuture and related classes.
    SettableFuture<?> unused = SettableFuture.create();
    // Hack to load AbstractFuture et. al. in a new classloader so that it re-reads the cancellation
    // cause system property.  This allows us to run with both settings of the property in one jvm
    // without resorting to even crazier hacks to reset static final boolean fields.

  protected void setUp() throws Exception {
    // Load the "normal" copy of SettableFuture and related classes.
    SettableFuture<?> unused = SettableFuture.create();
    // Hack to load AbstractFuture et. al. in a new classloader so that it re-reads the cancellation
    // cause system property.  This allows us to run with both settings of the property in one jvm
    // without resorting to even crazier hacks to reset static final boolean fields.

 * RegularImmutableBiMap}, which don't have to recopy the entries created by their {@code Builder}
 * implementations.
 *
 * <p>This base implementation has no key or value pointers, so instances of ImmutableMapEntry (but
 * not its subclasses) can be reused when copied from one ImmutableMap to another.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible // unnecessary

		} else if dur > maxDur {
			maxDur = dur
		}
	}

	failPct := float64(failures) / float64(len(entries))

	if failPct > dynamicTimeoutIncreaseThresholdPct {
		// We are hitting the timeout too often, so increase the timeout by 25%
		timeout := min(
			// Set upper cap.
			atomic.LoadInt64(&dt.timeout)*125/100, int64(maxDynamicTimeout))
		// Safety, shouldn't happen
		if timeout < dt.minimum {
			timeout = dt.minimum

#### Pydantic's `.dict()` { #pydantics-dict }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.
         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope

   *     {@code null} cause. Note, however, that passing an explicit {@code null} cause prevents
   *     anyone from calling {@link #initCause} later, so it is not quite equivalent to using a
   *     constructor that omits the cause.
   */
  @Deprecated
  protected UncheckedExecutionException() {}

  /**

    Es handelt sich also hier um eine Generatorfunktion, die die „generierende“ Arbeit intern auf etwas anderes überträgt.

    Auf diese Weise können wir das Ganze in einen `with`-Block einfügen und so sicherstellen, dass das dateiartige Objekt nach Abschluss geschlossen wird.