}

    override fun cancel() {
      canceled = true
      delegate.cancel()
    }
  }

  companion object {
    private fun ns(millis: Long): Long = millis * 1000000L
  }

  fun largeRead() {
    val data = randomByteString(1000000)
    write(data)
    val operator =
      FileOperator(
        randomAccessFile!!.getChannel(),
      )
    val buffer = Buffer()
    operator.read(0, buffer, data.size.toLong())
    assertThat(buffer.readByteString()).isEqualTo(data)
  }

  @Test
  fun largeWrite() {
    val data = randomByteString(1000000)
    val operator =
      FileOperator(

  }

  public void testAutoIncrementStep_millis() {
    FakeTicker ticker = new FakeTicker().setAutoIncrementStep(1, MILLISECONDS);
    assertEquals(0, ticker.read());
    assertEquals(1000000, ticker.read());
    assertEquals(2000000, ticker.read());
  }

  public void testAutoIncrementStep_seconds() {
    FakeTicker ticker = new FakeTicker().setAutoIncrementStep(3, SECONDS);
    assertEquals(0, ticker.read());

import org.jspecify.annotations.NullUnmarked;

/**
 * Single-threaded benchmark for {@link LoadingCache}.
 *
 * @author Charles Fry
 */
@NullUnmarked
public class LoadingCacheSingleThreadBenchmark {
  @Param({"1000", "2000"})
  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular

      var hostname = inetAddress.hostName
      if (inetAddress is Inet6Address && hostname.contains(':')) {
        // hostname is likely some form representing the IPv6 bytes
        // 2001:0db8:85a3:0000:0000:8a2e:0370:7334
        // 2001:db8:85a3::8a2e:370:7334
        // ::1
        hostname = "[$hostname]"
      }

      val localPort = socket.localPort

import org.jspecify.annotations.NullUnmarked;

/**
 * Single-threaded benchmark for {@link LoadingCache}.
 *
 * @author Charles Fry
 */
@NullUnmarked
public class LoadingCacheSingleThreadBenchmark {
  @Param({"1000", "2000"})
  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular

  public void testKnownValues() {
    assertSip(new byte[] {}, 0x726fdb47dd0e0e31L);
    assertSip(new byte[] {0x61}, 0x2ba3e8e9a71148caL);
    assertSip(new byte[1000000], 0x28205108397aa742L);
    assertSip("12345678", 0x02130609caea37ebL);
    assertSip("abcdef", 0x2a6e77e733c7c05dL);
    assertSip("SipHash", 0x8325093242a96f60L);
  }

        }
        return new MeanAndVariance(mean, s / values.length);
      }
    };

    abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm);
  }

  @Param({"100", "10000"})
  int n;

  @Param MeanAlgorithm meanAlgorithm;
  @Param VarianceAlgorithm varianceAlgorithm;

  private final double[][] values = new double[0x100][];

  @BeforeExperiment
  void setUp() {

        rule = new IntervalRule("10:00", "18:00", "*", 0);
        assertEquals(0, rule.getDelay());
    }

    public void test_intervalRule_isTarget_sameDay() {
        IntervalRule rule = new IntervalRule("10:00", "18:00", "*", 1000);

        // Within range
        assertTrue(rule.isTarget(12, 30, 1)); // 12:30 on Sunday
        assertTrue(rule.isTarget(10, 0, 1)); // 10:00 on Sunday (start time)

    assertThat("Thu, 01 Jan 1970 00:00:00 GMT JUNK".toHttpDateOrNull()!!.time).isEqualTo(0L)
    // Missing timezones treated as bad.
    assertThat("Thu, 01 Jan 1970 00:00:00".toHttpDateOrNull()).isNull()
    // Missing seconds treated as bad.
    assertThat("Thu, 01 Jan 1970 00:00 GMT".toHttpDateOrNull()).isNull()
    // Extra spaces treated as bad.
    assertThat("Thu,  01 Jan 1970 00:00 GMT".toHttpDateOrNull()).isNull()