* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp.regression.compare;

import androidx.test.ext.junit.runners.AndroidJUnit4;
import java.io.IOException;
import okhttp3.OkHttpClient;
import okhttp3.Protocol;
import okhttp3.Request;
import static org.junit.Assert.assertEquals;

        MinMaxPriorityQueue<Integer> q = MinMaxPriorityQueue.create(perm);
        q.removeAt(i);
        assertIntactUsingStartedWith(perm, q);
      }
    }
  }

  /** Regression test for bug found. */
  public void testCorrectOrdering_regression() {
    MinMaxPriorityQueue<Integer> q = MinMaxPriorityQueue.create(ImmutableList.of(3, 5, 1, 4, 7));
    List<Integer> expected = ImmutableList.of(1, 3, 4, 5, 7);

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp.regression;

import android.os.Build;
import androidx.test.ext.junit.runners.AndroidJUnit4;

import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.security.cert.Certificate;

        MinMaxPriorityQueue<Integer> q = MinMaxPriorityQueue.create(perm);
        q.removeAt(i);
        assertIntactUsingStartedWith(perm, q);
      }
    }
  }

  /** Regression test for bug found. */
  public void testCorrectOrdering_regression() {
    MinMaxPriorityQueue<Integer> q = MinMaxPriorityQueue.create(ImmutableList.of(3, 5, 1, 4, 7));
    List<Integer> expected = ImmutableList.of(1, 3, 4, 5, 7);

  }

  /**
   * Returns a linear transformation giving the best fit to the data according to <a
   * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear
   * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and
   * either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp.regression;

import androidx.test.ext.junit.runners.AndroidJUnit4;
import okhttp3.OkHttpClient;
import okhttp3.Protocol;
import okhttp3.Request;
import okhttp3.Response;
import org.junit.Test;

import java.util.concurrent.locks.LockSupport;
import junit.framework.TestCase;
import org.checkerframework.checker.nullness.qual.Nullable;

public final class InterruptibleTaskTest extends TestCase {

  // Regression test for a deadlock where a task could be stuck busy waiting for the task to
  // transition to DONE
  public void testInterruptThrows() throws Exception {
    final CountDownLatch isInterruptibleRegistered = new CountDownLatch(1);

import java.util.concurrent.locks.LockSupport;
import junit.framework.TestCase;
import org.checkerframework.checker.nullness.qual.Nullable;

public final class InterruptibleTaskTest extends TestCase {

  // Regression test for a deadlock where a task could be stuck busy waiting for the task to
  // transition to DONE
  public void testInterruptThrows() throws Exception {
    final CountDownLatch isInterruptibleRegistered = new CountDownLatch(1);

            return orig;
          }
        });
    assertThat(orig.toString())
        .contains("Exception thrown from implementation: class java.lang.StackOverflowError");
  }

  // Regression test for a case where we would fail to execute listeners immediately on done futures
  // this would be observable from an afterDone callback
  public void testListenersExecuteImmediately_fromAfterDone() {

  }

  /**
   * Returns a linear transformation giving the best fit to the data according to <a
   * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear
   * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and
   * either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code