import java.util.Iterator;
import org.jspecify.annotations.Nullable;

/**
 * An iterator that transforms a backing iterator; for internal use. This avoids the object overhead
 * of constructing a {@link com.google.common.base.Function Function} for internal methods.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
abstract class TransformedIterator<F extends @Nullable Object, T extends @Nullable Object>
    implements Iterator<T> {

{* ../../docs_src/dependencies/tutorial008e_an_py310.py hl[12,16] *}

`Depends()` erhält einen `scope`-Parameter, der sein kann:

Ainsi, vous pouvez déclarer votre fonction comme suit :

{* ../../docs_src/path_params_numeric_validations/tutorial002_py310.py hl[7] *}

Mais gardez à l'esprit que si vous utilisez `Annotated`, vous n'aurez pas ce problème, cela n'aura pas d'importance car vous n'utilisez pas les valeurs par défaut des paramètres de fonction pour `Query()` ou `Path()`.

### Dependencias con `yield` y `scope` { #dependencies-with-yield-and-scope }

En la versión 0.121.0, FastAPI agregó soporte para `Depends(scope="function")` para dependencias con `yield`.

Usando `Depends(scope="function")`, el código de salida después de `yield` se ejecuta justo después de que la *path operation function* termina, antes de que la response se envíe de vuelta al cliente.

/**
 * A type of {@link RestTestTransform} that transformations or adds a global "teardown" section.
 */
public interface RestTestTransformGlobalTeardown {

    /**
     * @param teardownNodeParent The parent of an existing "teardown" ObjectNode, null otherwise. If null implementations may create choose
     *                           to create the section.
     */
    ObjectNode transformTeardown(@Nullable ObjectNode teardownNodeParent);

*   [JavaScript/TypeScript license example](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/components/tf_backend/backend.ts#L1)

Bazel BUILD files also need to include a license section, e.g.,
[BUILD example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/BUILD#L61).

#### C++ coding style

Changes to TensorFlow C++ code should conform to

import okhttp3.CallEvent.SecureConnectStart

/**
 * This accepts events as function calls on [EventListener], and publishes them as subtypes of
 * [CallEvent].
 */
class EventListenerAdapter : EventListener() {
  var listeners = listOf<(CallEvent) -> Unit>()

  private fun onEvent(listener: CallEvent) {
    for (function in listeners) {
      function(listener)
    }
  }

  override fun dispatcherQueueStart(
    call: Call,

	PHYS_DIR=$(pwd -P)
	RESULT=$PHYS_DIR/$TARGET_FILE
	echo $RESULT
}

## FIXME:
## In OSX, 'sort -V' option does not exist, hence
## we have our own version compare function.
## Once OSX has the option, below function is good enough.
##
## check_minimum_version() {
##     versions=($(echo -e "$1\n$2" | sort -V))
##     return [ "$1" == "${versions[0]}" ]
## }
##
check_minimum_version() {

import java.util.Arrays;
import java.util.Comparator;
import java.util.Map;
import java.util.NavigableMap;
import java.util.SortedMap;
import java.util.TreeMap;
import java.util.function.BinaryOperator;
import java.util.function.Function;
import java.util.stream.Collector;
import java.util.stream.Collectors;
import org.jspecify.annotations.Nullable;

/**

 *
 * @param list the list to split, must be ordered by size desc
 * @param toIntFunction the function used to map the element to its "size"
 * @param largeElementSplitFunction the function used to further split the large element into smaller pieces
 * @param smallElementAggregateFunction the function used to aggregate tiny elements into a large bucket