@Override
public String toString() {
Map<String, Object> m = new ListOrderedMap<String, Object>();
m.put("Scale Factor", this.scale_factor);
m.put("Loader Start", this.loaderStartTime);
m.put("Loader Stop", this.loaderStopTime);
m.put(
"Last CloseAuctions",
(this.lastCloseAuctionsTime.getTime() > 0 ? this.lastCloseAuctionsTime : null));
m.put("Client Start", this.clientStartTime);
m.put("Current Virtual Time", this.currentTime);
m.put("Pending ItemCommentResponses", this.pending_commentResponses.size());
// Item Queues
Histogram<ItemStatus> itemCounts = new Histogram<ItemStatus>(true);
for (ItemStatus status : ItemStatus.values()) {
int cnt = 0;
switch (status) {
case OPEN:
cnt = this.items_available.size();
break;
case ENDING_SOON:
cnt = this.items_endingSoon.size();
break;
case WAITING_FOR_PURCHASE:
cnt = this.items_waitingForPurchase.size();
break;
case CLOSED:
cnt = this.items_completed.size();
break;
default:
assert (false) : "Unexpected " + status;
} // SWITCH
itemCounts.put(status, cnt);
}
m.put("Item Queues", itemCounts);
return (StringUtil.formatMaps(m));
}
/**
* Get a random buyer UserId, where the probability that a particular user is selected increases
* based on the number of bids that they have made in the past. We won't allow the last bidder to
* be selected again
*
* @param previousBidders
* @return
*/
public UserId getRandomBuyerId(Histogram<UserId> previousBidders, UserId... exclude) {
// This is very inefficient, but it's probably good enough for now
tmp_userIdHistogram.clear();
tmp_userIdHistogram.putHistogram(previousBidders);
for (UserId ex : exclude) tmp_userIdHistogram.removeAll(ex);
tmp_userIdHistogram.put(this.getRandomBuyerId(exclude));
try {
LOG.trace("New Histogram:\n" + tmp_userIdHistogram);
} catch (NullPointerException ex) {
for (UserId user_id : tmp_userIdHistogram.values()) {
System.err.println(
String.format(
"%s => NEW:%s / ORIG:%s",
user_id, tmp_userIdHistogram.get(user_id), previousBidders.get(user_id)));
}
throw ex;
}
FlatHistogram<UserId> rand_h = new FlatHistogram<UserId>(rng, tmp_userIdHistogram);
return (rand_h.nextValue());
}