Data (moth)
Data | |
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Scientific classification | |
Kingdom: | |
Phylum: | |
Class: | |
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Genus: | Data Walker, 1862 |
Species
- Data aroa (Bethune-Baker, 1906)
- Data callopistrioides (Moore, 1881)
- Data clava (Leech, 1900)
- Data dissimilis Warren, 1911
- Data eriopoides Prout, 1928
- Data manta (Swinhoe, 1902)
- Data obliterata Warren, 1911
- Data ochroneura (Turner, 1943)
- Data pratti (Bethune-Baker, 1906)
- Data rectisecta Warren, 1912
- Data rhabdochlaena Wileman & West, 1929
- Data thalpophiloides Walker, 1862
- Data variegata (Swinhoe, 1895)
gollark: If the issue is what I think it could be, then it's accidentally dropping? data on the threshold of the rolling counter region incorrectly.
gollark: ```nimproc pollTargets(ctx: Ctx) {.async.} = for row in ctx.db.all("SELECT * FROM sites"): var (id, url, rollingTotalPings, rollingSuccessfulPings, rollingLatency, rollingDataSince) = row.unpack((int64, string, int64, int64, int64, Option[Time])) let res = await ctx.pollTarget(url) let threshold = getTime() # drop old data from rolling counters if rollingDataSince.isSome: for row in ctx.db.iterate("SELECT status, latency FROM reqs WHERE timestamp >= ? AND timestamp <= ? AND site = ?", rollingDataSince.get, threshold, id): let (statusRaw, latency) = row.unpack((int, int)) rollingTotalPings -= 1 rollingLatency -= latency if statusRaw <= 0: rollingSuccessfulPings -= 1 # add new data rollingTotalPings += 1 rollingLatency += res.latency if int(res.rtype) <= 0: rollingSuccessfulPings += 1 ctx.db.transaction: ctx.db.exec("UPDATE sites SET rc_total = ?, rc_success = ?, rc_latency = ?, rc_data_since = ? WHERE sid = ?", rollingTotalPings, rollingSuccessfulPings, rollingLatency, threshold, id) ctx.db.exec("INSERT INTO reqs (site, timestamp, status, latency) VALUES (?, ?, ?, ?)", id, getTime(), int(res.rtype), res.latency)```This is the core algorithm.
gollark: Actually, æææææ who even knows.
gollark: The boundary conditions could be wrong on this query.
gollark: Hmm. I think I might know what this is maybe?
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