result.addAll(stories)
      }
      return result
    }

    /**
     * Checks if `expected` and `observed` are equal when viewed as a set and headers are
     * deduped.
     *
     * TODO: See if duped headers should be preserved on decode and verify.
     */
    private fun assertSetEquals(
      message: String,
      expected: List<Header>,
      observed: List<Header>,

              public Deque<?> apply(Deque delegate) {
                return wrap((Deque<?>) delegate);
              }
            });
  }

  private static <T> Deque<T> wrap(final Deque<T> delegate) {
    return new ForwardingDeque<T>() {
      @Override
      protected Deque<T> delegate() {
        return delegate;
      }
    };
  }

      }
    },
    REDUCE_LAST {
      @Override
      Object operate(Stream<?> stream) {
        return stream.reduce((a, b) -> b);
      }
    },
    REDUCE_LAST_PARALLEL {
      @Override
      Object operate(Stream<?> stream) {
        return stream.parallel().reduce((a, b) -> b);
      }
    };

    abstract Object operate(Stream<?> stream);
  }

  @Param private Operation operation;

Doing this provides the following specific benefits:
- **Reduce the API surface** - We no longer need to maintain two methods.
- **Consistency** - All languages have consistent access to the same APIs and ergonomics in the DSL.
- **Reduce the size of the Gradle distribution** - We no longer need to carry multiple standard libraries for different languages.

## Decision

    R apply(double from, long index);
  }

  /**
   * Returns the last element of the specified stream, or {@link java.util.Optional#empty} if the
   * stream is empty.
   *
   * <p>Equivalent to {@code stream.reduce((a, b) -> b)}, but may perform significantly better. This
   * method's runtime will be between O(log n) and O(n), performing better on <a

    Deque<String> outer = Synchronized.deque(inner, inner.mutex);
    outer.add("foo"); // necessary because we try to remove elements later on
    return outer;
  }

  private static final class TestDeque<E> implements Deque<E> {
    private final Deque<E> delegate = Lists.newLinkedList();
    public final Object mutex = new Object[0]; // something Serializable

    @Override
    public boolean offer(E o) {

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.util.Deque;
import java.util.Iterator;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A deque which forwards all its method calls to another deque. Subclasses should override one or
 * more methods to modify the behavior of the backing deque as desired per the <a

 */
package okhttp3

import assertk.assertThat
import assertk.assertions.containsExactly
import java.util.ArrayDeque
import java.util.Deque

class RecordingCookieJar : CookieJar {
  private val requestCookies: Deque<List<Cookie>> = ArrayDeque()
  private val responseCookies: Deque<List<Cookie>> = ArrayDeque()

  fun enqueueRequestCookies(vararg cookies: Cookie) {
    requestCookies.add(cookies.toList())
  }

      if (connection.noNewExchanges) {
        assertThat(eventSequence).matchesPredicate { deque ->
          deque.any { it is NoNewExchanges && it.connection == connection }
        }
      }
    }

    logEvent(ConnectionEvent.ConnectionReleased(System.nanoTime(), connection, call))
  }