l.UpdatedAt = t // update to the latest time index

	if since >= 24 {
		l.Bins = [24]tierStats{}
		return
	}

	for lastIdx != idx {
		lastIdx = (lastIdx + 1) % 24
		l.Bins[lastIdx] = tierStats{}
	}
}

func (l *lastDayTierStats) clone() lastDayTierStats {
	clone := lastDayTierStats{
		UpdatedAt: l.UpdatedAt,
	}
	copy(clone.Bins[:], l.Bins[:])
	return clone
}

	// map header, size 2
	// write "Bins"
	err = en.Append(0x82, 0xa4, 0x42, 0x69, 0x6e, 0x73)
	if err != nil {
		return
	}
	err = en.WriteArrayHeader(uint32(24))
	if err != nil {
		err = msgp.WrapError(err, "Bins")
		return
	}
	for za0001 := range z.Bins {
		err = z.Bins[za0001].EncodeMsg(en)
		if err != nil {
			err = msgp.WrapError(err, "Bins", za0001)
			return
		}
	}

   * stripes, the intended concurrency level, and the typical number of keys used in a {@code
   * bulkGet(keys)} operation. See <a href="http://www.mathpages.com/home/kmath199.htm">Balls in
   * Bins model</a> for mathematical formulas that can be used to estimate the probability of
   * collisions.
   *
   * @param keys arbitrary non-null keys

    /**
     * Tests that <code>a:1.0</code> wins in the scenario:
     * <pre>
     * a:1.0
     * a:2.0
     * </pre>
     */
    @Test
    void testEqual() {
        ResolutionNode a1n = createResolutionNode(a1);
        ResolutionNode a2n = createResolutionNode(a2);

        assertResolveConflict(a1n, a1n, a2n);
    }

    /**
     * Tests that <code>a:1.0</code> wins in the scenario:
     * <pre>
     * a:2.0

      this
    } else {
      CertificatePinner(pins, certificateChainCleaner)
    }
  }

  override fun equals(other: Any?): Boolean {
    return other is CertificatePinner &&
      other.pins == pins &&
      other.certificateChainCleaner == certificateChainCleaner
  }

  override fun hashCode(): Int {
    var result = 37
    result = 41 * result + pins.hashCode()

            supports equivalent functionality. `max_tokens` argument renamed to
            `num_tokens`.
        *   `Discretization` added `num_bins` argument for learning bins
            boundaries through calling `adapt` on a dataset. Renamed `bins`
            argument to `bin_boundaries` for specifying bins without `adapt`.
    *   Improvements to model saving/loading:
        *   `model.load_weights` now accepts paths to saved models.

    /**
     * Tests that <code>a:2.0</code> wins in the scenario:
     * <pre>
     * a:1.0
     * a:2.0
     * </pre>
     */
    @Test
    void testEqual() {
        ResolutionNode a1n = createResolutionNode(a1);
        ResolutionNode a2n = createResolutionNode(a2);

        assertResolveConflict(a2n, a1n, a2n);
    }

    /**
     * Tests that <code>a:2.0</code> wins in the scenario:
     * <pre>
     * a:2.0

    /**
     * Tests that <code>a:1.0</code> wins in the scenario:
     * <pre>
     * a:1.0
     * a:2.0
     * </pre>
     */
    @Test
    void testEqual() {
        ResolutionNode a1n = createResolutionNode(a1);
        ResolutionNode a2n = createResolutionNode(a2);

        assertResolveConflict(a1n, a1n, a2n);
    }

    /**
     * Tests that <code>a:2.0</code> wins in the scenario:
     * <pre>
     * a:2.0

                }
                else if ( s.equalsIgnoreCase("WINS") ) {
                    if ( this.winsServer.length == 0 ) {
                        log.error("UniAddress resolveOrder specifies WINS however " + " WINS server has not been configured");
                        continue;
                    }
                    this.resolverOrder.add(ResolverType.RESOLVER_WINS);
                }

   * - 2 requests happen concurrently to a host that can be coalesced onto a single connection.
   * - Both request discover no existing connection. They both make a connection.
   * - The first request "wins the race".
   * - The second request discovers it "lost the race" and closes the connection it just opened.
   * - The second request uses the coalesced connection from request1.