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Late-game performance issue with automated workers trying to connect cities #4840

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xlenstra opened this issue Aug 11, 2021 · 10 comments · Fixed by #4868
Closed

Late-game performance issue with automated workers trying to connect cities #4840

xlenstra opened this issue Aug 11, 2021 · 10 comments · Fixed by #4868

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@xlenstra
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In very late-game games on large maps with lots of workers, the time it takes automated workers to find a tile to work is very large.
Based on a save file send in by a discord user (see below) it can take up to 10 seconds to decide what an automated worker must do. Using some advanced debugging methods (i.e. spamming println statements everywhere) I was able to determine the likely cause for most of this time: the BFS algorithm in WorkerAutomation.tryConnectingCities, used to find the unconnected city closest to any connected city. Due to every single worker having to do this entire algorithm again and again, a lot of time is spend recalculating known results. Wouldn't it be much easier to cache these results somewhere so all workers can use them? I don't look particularly forward to implementing this, so feel free to work on this.

The save file sent by the discord user is below, and contains ~190 automated workers on a map with a radius of at least 40 tiles, and just a single city not connected to the trade network. Pressing the 'next turn' button takes like 10 minutes, almost exclusively due to the automated workers.

Save file:

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

@SomeTroglodyte
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Sounds very familiar. There was that other ticket I debugged into... And another with a reproducible looong next-turn that went away by declaring a war instead of consolidating position - because pathing changed... And that issue where the auto workers try to connect cities right through a raging battle...

I'll keep my fingers off this. I just got to know getDistanceToTilesWithinTurn which just feels wrong, its result matrix mapping every roadblock to the unit's current remaining moves, dropping any distinction between 'couldn't enter tile' and 'enter but use up all movement' except in the candidates for the next loop iteration. Someone must know why it works anyway, and would be the better candidate...

Also, do not look up BFS on urbandictionary.

Suggestion: Limit number of workers per human civ allowed to automate!

@ajustsomebody
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Suggestion: Limit number of workers per human civ allowed to automate!

please no

@SomeTroglodyte
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SomeTroglodyte commented Aug 12, 2021

I'll keep my fingers off this.

... or maybe not. But it gets complicated fast because of the double-clone at next-turn (which is surprisingly expensive,) where we would like to continue using cached knowledge (gathered while interactive) on the first clone but not on the second one; and cloning such a cache by mapping cached references to their cloned references by looking up via some immutable key is a) possibly not much cheaper than rebuilding from scratch, which should be measured, and b) tricky if your caching relies on lazy - there is no isInitialized for them. There was a trick to that, but I forgot.

I'll push a test branch for review in a few hours. ☕ first.

@SomeTroglodyte
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Measuring this is a major PITA. And then I forgot to choose the proper format string for the instrumentation in this branch... 💢

@SomeTroglodyte
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Ooooooohhh - I just grok'ed the most rewarding optimization... Where is the MaxDOP setting for this engine???

@SomeTroglodyte
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OK, @xlenstra - please do tell me your opinion.

Baseline master: 975s on my box.
Redesign with some cached filtered/sorted city lists: 1045s
...it's not unimaginable that sending all workers that haven't got anything better to do to the same underdeveloped city might be cheaper than distributing them with a little more intelligence. Or my lack of patience took too much CPU.
What I got now: 288s
CPU still sits at 18% for a sizeable chunk of nextTurn() - and I don't know what it's doing in that time.
Plus, that "cheat" is not really an option, needs some upgrades we might not be ready for.
And... Cross-noise between the BFS's might lead to incorrect results - tiles were free when BFS started but are occupied a few cycles later and similar things.
Also showed some basic flaws in current code - this next turn throws two unhandled exceptions and I have not idea why they get lost in master. I had to "fix" them (catch and just leave worker workless) for those 288s.

console log
Next turn starting 2021-08-13

WorkerAutomation citiesThatNeedConnecting for Egypt turn 792:
	Ratchasima
WorkerAutomation: Worker - Egypt (-4.0,7.0) -> head towards TileInfo @(-7.0,6.0), Desert
WorkerAutomation undevelopedCitiesMap for Egypt turn 792:
	Vientiane -> 9
	Nakhon Si Thammarat -> 3
	Byblos -> 2
	Edfu -> 2
	Chainat -> 2
	Chiang Thong -> 2
	Tak -> 2
	Thebes -> 1
	Memphis -> 1
	Heliopolis -> 1
	Pi-Ramesses -> 1
	Hieraconpolis -> 1
	Buto -> 1
	Uthai Thani -> 1
	Suphanburi -> 1
	Luang Prabang -> 1
WorkerAutomation tilesOfConnectedCities for Egypt turn 792:
	TileInfo @(2.0,-3.0), Thebes, Desert, Flood plains, City center, Settler - Egypt, Mobile SAM - Egypt Thebes
	TileInfo @(0.0,0.0), Memphis, Plains, Uranium, City center, Mobile SAM - Egypt Memphis
	TileInfo @(7.0,3.0), Heliopolis, Grassland, Hill, Potato, City center, Mobile SAM - Egypt Heliopolis
	TileInfo @(8.0,-1.0), Elephantine, Desert, City center, Gatling Gun - Egypt Elephantine
	TileInfo @(4.0,7.0), Alexandria, Desert, City center, Mobile SAM - Egypt Alexandria
	TileInfo @(-2.0,5.0), Pi-Ramesses, Desert, City center, Anti-Tank Gun - Egypt Pi-Ramesses
	TileInfo @(14.0,12.0), Giza, Plains, Hill, City center, Mobile SAM - Egypt Giza
	TileInfo @(29.0,24.0), Byblos, Snow, City center, Worker - Egypt, Mobile SAM - Egypt Byblos
	TileInfo @(18.0,18.0), Akhetaten, Grassland, City center, Worker - Egypt, Mobile SAM - Egypt Akhetaten
	TileInfo @(32.0,13.0), Hieraconpolis, Plains, Hill, City center, Destroyer - Egypt Hieraconpolis
	TileInfo @(18.0,12.0), Abydos, Plains, Hill, City center, Mobile SAM - Egypt Abydos
	TileInfo @(22.0,29.0), Avaris, Tundra, City center, Mobile SAM - Egypt Avaris
	TileInfo @(36.0,24.0), Buto, Tundra, Aluminum, City center, Nuclear Submarine - Egypt Buto
	TileInfo @(20.0,23.0), Edfu, Grassland, Hill, City center, Worker - Egypt, Paratrooper - Egypt Edfu
	TileInfo @(26.0,34.0), Pithom, Tundra, City center, Mobile SAM - Egypt Pithom
	TileInfo @(22.0,18.0), Busiris, Grassland, City center, Anti-Tank Gun - Egypt Busiris
	TileInfo @(16.0,22.0), Kahun, Plains, Hill, City center, Mobile SAM - Egypt Kahun
	TileInfo @(37.0,19.0), Athribis, Tundra, Deer, City center, Mobile SAM - Egypt Athribis
	TileInfo @(23.0,37.0), Mendes, Tundra, Aluminum, City center, Nuclear Submarine - Egypt Mendes
	TileInfo @(19.0,30.0), Elashmunein, Tundra, Silver, City center, Anti-Tank Gun - Egypt Elashmunein
	TileInfo @(-2.0,-6.0), Lyon, Desert, City center Lyon
	TileInfo @(-6.0,-1.0), Uthai Thani, Desert, Cotton, City center Uthai Thani
	TileInfo @(16.0,35.0), Suphanburi, Tundra, Oil, City center, Missile Cruiser - Egypt Suphanburi
	TileInfo @(-9.0,0.0), Taphan Hin, Desert, City center Taphan Hin
	TileInfo @(14.0,29.0), Ban Phai, Plains, City center, Worker - Egypt Ban Phai
	TileInfo @(-6.0,5.0), Nakhon Si Thammarat, Plains, City center, Mobile SAM - Egypt Nakhon Si Thammarat
	TileInfo @(-4.0,9.0), Chainat, Plains, Hill, City center, Mobile SAM - Egypt Chainat
	TileInfo @(10.0,13.0), Khon Kaen, Plains, City center, Worker - Egypt Khon Kaen
	TileInfo @(12.0,25.0), Chiang Thong, Grassland, Hill, Papyrus, City center, Worker - Egypt, Mobile SAM - Egypt Chiang Thong
	TileInfo @(1.0,10.0), Si Satchanalai, Desert, City center Si Satchanalai
	TileInfo @(11.0,31.0), Thawaii, Grassland, City center, Worker - Egypt, Mobile SAM - Egypt Thawaii
	TileInfo @(3.0,14.0), Luang Prabang, Grassland, Hill, City center Luang Prabang
	TileInfo @(5.0,18.0), Hongsawadee, Grassland, City center Hongsawadee
	TileInfo @(4.0,21.0), Phitsanulok, Grassland, City center, Worker - Egypt Phitsanulok
	TileInfo @(8.0,24.0), Lap Buri, Plains, Hill, City center Lap Buri
	TileInfo @(3.0,30.0), Vientiane, Plains, Hill, Titanium, City center, Giant Death Robot - Egypt Vientiane
	TileInfo @(7.0,14.0), Mogadishu, Grassland, Hill, City center Mogadishu
	TileInfo @(9.0,21.0), Loci, Grassland, Hill, City center Loci
	TileInfo @(10.0,18.0), Tak, Plains, City center, Worker - Egypt, Mobile SAM - Egypt Tak
WorkerAutomation: Worker - Egypt (-4.0,10.0) -> head towards TileInfo @(-6.0,10.0), Desert
WorkerAutomation: Worker - Egypt (-6.0,10.0) -> start improving TileInfo @(-6.0,10.0), Desert, Worker - Egypt
WorkerAutomation: Worker - Egypt (-1.0,-1.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (8.0,11.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (10.0,13.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (17.0,17.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (15.0,17.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (9.0,12.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (9.0,7.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (26.0,22.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (28.0,23.0) -> nothing to do
WorkerAutomation: Worker - Egypt (18.0,18.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (4.0,4.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (16.0,18.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (28.0,24.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (5.0,5.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (18.0,17.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (28.0,24.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (21.0,23.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (16.0,19.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (20.0,19.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (18.0,18.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (19.0,17.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (10.0,15.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (0.0,8.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (18.0,26.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (19.0,18.0) -> head towards undeveloped city Thebes
WorkerAutomation: Worker - Egypt (18.0,28.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (19.0,20.0) -> head towards undeveloped city Memphis
WorkerAutomation: Worker - Egypt (20.0,18.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (24.0,22.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (18.0,20.0) -> head towards undeveloped city Heliopolis
WorkerAutomation: Worker - Egypt (17.0,20.0) -> head towards undeveloped city Heliopolis
WorkerAutomation: Worker - Egypt (5.0,9.0) -> head towards undeveloped city Pi-Ramesses
WorkerAutomation: Worker - Egypt (8.0,17.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (-2.0,5.0) -> head towards TileInfo @(-6.0,2.0), Desert, Railroad
WorkerAutomation: Worker - Egypt (17.0,18.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (19.0,25.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (7.0,3.0) -> head towards undeveloped city Uthai Thani
WorkerAutomation: Worker - Egypt (21.0,21.0) -> head towards undeveloped city Uthai Thani
WorkerAutomation: Worker - Egypt (8.0,4.0) -> head towards undeveloped city Uthai Thani
WorkerAutomation: Worker - Egypt (19.0,21.0) -> head towards undeveloped city Suphanburi
WorkerAutomation: Worker - Egypt (20.0,21.0) -> head towards undeveloped city Uthai Thani
WorkerAutomation: Worker - Egypt (14.0,14.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (22.0,22.0) -> head towards undeveloped city Luang Prabang
WorkerAutomation: Worker - Egypt (21.0,22.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (15.0,15.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (19.0,22.0) -> nothing to do
WorkerAutomation: Worker - Egypt (9.0,18.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (5.0,14.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (6.0,14.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (9.0,21.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (8.0,19.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(9.0,25.0), Plains, Hill, Titanium, Mine
WorkerAutomation: Worker - Egypt (22.0,21.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (15.0,33.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp, Worker - Egypt
WorkerAutomation: Worker - Egypt (7.0,22.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(9.0,25.0), Plains, Hill, Titanium, Mine
WorkerAutomation: Worker - Egypt (21.0,23.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (23.0,23.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (22.0,23.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (9.0,25.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(9.0,25.0), Plains, Hill, Titanium, Mine, Worker - Egypt
WorkerAutomation: Worker - Egypt (20.0,23.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (15.0,15.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (4.0,22.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(4.0,22.0), Grassland, Camel, Pasture, Worker - Egypt
WorkerAutomation: Worker - Egypt (16.0,34.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (5.0,23.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(5.0,23.0), Grassland, Hill, Mine, Worker - Egypt
WorkerAutomation: Worker - Egypt (8.0,10.0) -> head towards undeveloped city Thebes
WorkerAutomation: Worker - Egypt (3.0,-2.0) -> head towards undeveloped city Memphis
WorkerAutomation: Worker - Egypt (0.0,0.0) -> head towards undeveloped city Pi-Ramesses
WorkerAutomation: Worker - Egypt (6.0,10.0) -> head towards undeveloped city Suphanburi
WorkerAutomation: Worker - Egypt (5.0,10.0) -> head towards undeveloped city Luang Prabang
WorkerAutomation: Worker - Egypt (8.0,16.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (7.0,19.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (23.0,24.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (9.0,22.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (15.0,28.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (6.0,24.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (9.0,23.0) -> connect city Ratchasima to Loci on TileInfo @(9.0,23.0), Grassland, Bitter Gourd, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (5.0,20.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,20.0), Plains, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (3.0,10.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (8.0,23.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (9.0,19.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (10.0,13.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (5.0,19.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post, Worker - Egypt
WorkerAutomation: Worker - Egypt (4.0,10.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (5.0,22.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,22.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (-3.0,7.0) -> head towards TileInfo @(-7.0,5.0), Desert
WorkerAutomation: Worker - Egypt (25.0,21.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (20.0,23.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (16.0,30.0) -> connect city Ratchasima to Tak on TileInfo @(9.0,20.0), Plains, Farm, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (9.0,20.0) -> connect city Ratchasima to Tak on TileInfo @(9.0,20.0), Plains, Farm, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (9.0,24.0) -> connect city Ratchasima to Loci on TileInfo @(9.0,24.0), Plains, Jungle, Trading post, Worker - Egypt
WorkerAutomation: Worker - Egypt (10.0,25.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(10.0,25.0), Plains, Rubber, Plantation, Worker - Egypt
WorkerAutomation: Worker - Egypt (11.0,25.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(11.0,25.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (9.0,27.0) -> connect city Ratchasima to Lap Buri on TileInfo @(9.0,27.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (27.0,23.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (8.0,21.0) -> connect city Ratchasima to Mogadishu on TileInfo @(8.0,21.0), Grassland, Jungle, Trading post, Worker - Egypt, Enhanced Recon Troop - Egypt
WorkerAutomation: Worker - Egypt (8.0,22.0) -> connect city Ratchasima to Mogadishu on TileInfo @(8.0,22.0), Grassland, Farm, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (7.0,25.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(7.0,25.0), Plains, Hill, Worker - Egypt
WorkerAutomation: Worker - Egypt (9.0,28.0) -> connect city Ratchasima to Lap Buri on TileInfo @(9.0,28.0), Grassland, Forest, Worker - Egypt
WorkerAutomation: Worker - Egypt (6.0,20.0) -> connect city Ratchasima to Mogadishu on TileInfo @(7.0,18.0), Plains, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (9.0,26.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(9.0,26.0), Grassland, Hill, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (11.0,14.0) -> connect city Ratchasima to Mogadishu on TileInfo @(7.0,16.0), Grassland, Jungle, Trading post
WorkerAutomation: Worker - Egypt (18.0,23.0) -> connect city Ratchasima to Mogadishu on TileInfo @(7.0,18.0), Plains, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (13.0,29.0) -> connect city Ratchasima to Ban Phai on TileInfo @(13.0,29.0), Grassland, Flax, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (12.0,29.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,29.0), Grassland, Hill, Forest, Worker - Egypt
WorkerAutomation: Worker - Egypt (9.0,30.0) -> connect city Ratchasima to Lap Buri on TileInfo @(9.0,30.0), Grassland, Farm, Worker - Egypt, Paratrooper - Egypt
WorkerAutomation: Worker - Egypt (14.0,28.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (14.0,29.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (29.0,23.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (29.0,25.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (17.0,28.0) -> connect city Ratchasima to Loci on TileInfo @(9.0,30.0), Grassland, Farm, Worker - Egypt, Paratrooper - Egypt
WorkerAutomation: Worker - Egypt (19.0,28.0) -> connect city Ratchasima to Vientiane on TileInfo @(3.0,27.0), Grassland, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (11.0,28.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (29.0,24.0) -> head towards undeveloped city Buto

WorkerAutomation: Worker - Egypt (30.0,23.0) -> head towards undeveloped city Vientiane
Exception in headTowards: Worker - Egypt (18.0,30.0) cannot reach TileInfo @(6.0,29.0), Plains, Jungle, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (18.0,30.0) -> connect city Ratchasima to Vientiane on TileInfo @(6.0,29.0), Plains, Jungle, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (11.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(11.0,30.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (10.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(10.0,30.0), Grassland, Worker - Egypt, Mobile SAM - Egypt
com.unciv.logic.map.UnitMovementAlgorithms$getTileToMoveToThisTurn$UnreachableDestinationException: Worker - Egypt (18.0,30.0) cannot reach TileInfo @(6.0,29.0), Plains, Jungle, Mobile SAM - Egypt
	at com.unciv.logic.map.UnitMovementAlgorithms.getTileToMoveToThisTurn(UnitMovementAlgorithms.kt:191)
	at com.unciv.logic.map.UnitMovementAlgorithms.headTowards(UnitMovementAlgorithms.kt:213)
	at com.unciv.logic.automation.WorkerAutomation.tryConnectingCities(WorkerAutomation.kt:253)
	at com.unciv.logic.automation.WorkerAutomation.automateWorkerAction(WorkerAutomation.kt:177)
	at com.unciv.logic.automation.WorkerAutomation$Companion.automateWorkerAction(WorkerAutomation.kt:124)
	at com.unciv.logic.map.MapUnit.doAction(MapUnit.kt:462)
	at com.unciv.logic.map.MapUnit.endTurn(MapUnit.kt:592)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invokeSuspend(CivilizationInfo.kt:640)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$parallelForEach$2$1$1.invokeSuspend(CivilizationInfo.kt:637)
	at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
	at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)
	at kotlinx.coroutines.scheduling.CoroutineScheduler.runSafely(CoroutineScheduler.kt:571)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.executeTask(CoroutineScheduler.kt:750)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.runWorker(CoroutineScheduler.kt:678)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.run(CoroutineScheduler.kt:665)
WorkerAutomation: Worker - Egypt (7.0,30.0) -> head towards TileInfo @(4.0,28.0), Plains, Forest, Giant Death Robot - Egypt
WorkerAutomation: Worker - Egypt (12.0,25.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,29.0), Plains, Jungle, Trading post, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (10.0,26.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (18.0,25.0) -> connect city Ratchasima to Mogadishu on TileInfo @(7.0,18.0), Plains, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (30.0,25.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (13.0,26.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,29.0), Plains, Jungle, Trading post, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (18.0,27.0) -> connect city Ratchasima to Mogadishu on TileInfo @(7.0,18.0), Plains, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (17.0,32.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture

WorkerAutomation: Worker - Egypt (20.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (18.0,22.0) -> connect city Ratchasima to Mogadishu on TileInfo @(7.0,18.0), Plains, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (25.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture, Worker - Egypt
WorkerAutomation: Worker - Egypt (9.0,31.0) -> connect city Ratchasima to Thawaii on TileInfo @(9.0,31.0), Plains, Coconut, Plantation, Worker - Egypt
WorkerAutomation: Worker - Egypt (10.0,31.0) -> connect city Ratchasima to Thawaii on TileInfo @(10.0,31.0), Grassland, Jungle, Trading post, Worker - Egypt
WorkerAutomation: Worker - Egypt (18.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,27.0), Grassland
WorkerAutomation: Worker - Egypt (19.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(4.0,28.0), Plains, Forest, Giant Death Robot - Egypt
WorkerAutomation: Worker - Egypt (12.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture, Worker - Egypt
WorkerAutomation: Worker - Egypt (31.0,23.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (17.0,30.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,27.0), Grassland
WorkerAutomation: Worker - Egypt (12.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (13.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (31.0,25.0) -> head towards undeveloped city Vientiane
Exception in headTowards: Worker - Egypt (22.0,32.0) cannot reach TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (22.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
com.unciv.logic.map.UnitMovementAlgorithms$getTileToMoveToThisTurn$UnreachableDestinationException: Worker - Egypt (22.0,32.0) cannot reach TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
	at com.unciv.logic.map.UnitMovementAlgorithms.getTileToMoveToThisTurn(UnitMovementAlgorithms.kt:191)
	at com.unciv.logic.map.UnitMovementAlgorithms.headTowards(UnitMovementAlgorithms.kt:213)
	at com.unciv.logic.automation.WorkerAutomation.tryConnectingCities(WorkerAutomation.kt:253)
	at com.unciv.logic.automation.WorkerAutomation.automateWorkerAction(WorkerAutomation.kt:194)
	at com.unciv.logic.automation.WorkerAutomation$Companion.automateWorkerAction(WorkerAutomation.kt:124)
	at com.unciv.logic.map.MapUnit.doAction(MapUnit.kt:462)
	at com.unciv.logic.map.MapUnit.endTurn(MapUnit.kt:592)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invokeSuspend(CivilizationInfo.kt:640)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$parallelForEach$2$1$1.invokeSuspend(CivilizationInfo.kt:637)
	at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
	at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)
	at kotlinx.coroutines.scheduling.CoroutineScheduler.runSafely(CoroutineScheduler.kt:571)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.executeTask(CoroutineScheduler.kt:750)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.runWorker(CoroutineScheduler.kt:678)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.run(CoroutineScheduler.kt:665)
WorkerAutomation: Worker - Egypt (27.0,32.0) -> head towards undeveloped city Vientiane
Exception in headTowards: Worker - Egypt (20.0,32.0) cannot reach TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (20.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
com.unciv.logic.map.UnitMovementAlgorithms$getTileToMoveToThisTurn$UnreachableDestinationException: Worker - Egypt (20.0,32.0) cannot reach TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
	at com.unciv.logic.map.UnitMovementAlgorithms.getTileToMoveToThisTurn(UnitMovementAlgorithms.kt:191)
	at com.unciv.logic.map.UnitMovementAlgorithms.headTowards(UnitMovementAlgorithms.kt:213)
	at com.unciv.logic.automation.WorkerAutomation.tryConnectingCities(WorkerAutomation.kt:253)
	at com.unciv.logic.automation.WorkerAutomation.automateWorkerAction(WorkerAutomation.kt:194)
	at com.unciv.logic.automation.WorkerAutomation$Companion.automateWorkerAction(WorkerAutomation.kt:124)
	at com.unciv.logic.map.MapUnit.doAction(MapUnit.kt:462)
	at com.unciv.logic.map.MapUnit.endTurn(MapUnit.kt:592)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invokeSuspend(CivilizationInfo.kt:640)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$parallelForEach$2$1$1.invokeSuspend(CivilizationInfo.kt:637)
	at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
	at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)
	at kotlinx.coroutines.scheduling.CoroutineScheduler.runSafely(CoroutineScheduler.kt:571)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.executeTask(CoroutineScheduler.kt:750)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.runWorker(CoroutineScheduler.kt:678)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.run(CoroutineScheduler.kt:665)

WorkerAutomation: Worker - Egypt (28.0,24.0) -> connect city Ratchasima to Vientiane on TileInfo @(6.0,29.0), Plains, Jungle, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (29.0,25.0) -> connect city Ratchasima to Vientiane on TileInfo @(6.0,29.0), Plains, Jungle, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (32.0,22.0) -> head towards undeveloped city Hieraconpolis

WorkerAutomation: Worker - Egypt (12.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(4.0,28.0), Plains, Forest, Giant Death Robot - Egypt
WorkerAutomation: Worker - Egypt (13.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(3.0,27.0), Grassland, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (16.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,29.0), Plains, Jungle, Trading post, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (7.0,30.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (32.0,24.0) -> head towards undeveloped city Hieraconpolis
WorkerAutomation: Worker - Egypt (27.0,33.0) -> head towards undeveloped city Hieraconpolis
WorkerAutomation: Worker - Egypt (16.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (26.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (33.0,22.0) -> nothing to do
WorkerAutomation: Worker - Egypt (33.0,24.0) -> head towards undeveloped city Buto
WorkerAutomation: Worker - Egypt (26.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt

WorkerAutomation: Worker - Egypt (18.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (7.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (22.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (18.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (12.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (28.0,35.0) -> head towards undeveloped city Thebes
WorkerAutomation: Worker - Egypt (34.0,21.0) -> head towards undeveloped city Thebes
WorkerAutomation: Worker - Egypt (24.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (27.0,35.0) -> head towards undeveloped city Memphis
WorkerAutomation: Worker - Egypt (9.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (30.0,25.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (22.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (23.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (23.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (14.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (27.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,29.0), Plains, Jungle, Trading post, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (16.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (27.0,36.0) -> head towards undeveloped city Heliopolis
WorkerAutomation: Worker - Egypt (36.0,23.0) -> head towards undeveloped city Heliopolis
WorkerAutomation: Worker - Egypt (17.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (16.0,35.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (19.0,37.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (24.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (12.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (13.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (16.0,37.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (25.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation citiesThatNeedConnecting for Aztecs turn 792:
	Ayutthuya
WorkerAutomation: Worker - Aztecs (-14.0,-16.0) -> start improving TileInfo @(-14.0,-16.0), Plains, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (-17.0,-17.0) -> start improving TileInfo @(-17.0,-17.0), Plains, Worker - Aztecs, Machine Gun - Aztecs
WorkerAutomation: Worker - Aztecs (-17.0,-18.0) -> head towards TileInfo @(-16.0,-17.0), Plains, Machine Gun - Aztecs
WorkerAutomation: Worker - Aztecs (-16.0,-18.0) -> head towards TileInfo @(-15.0,-17.0), Plains
WorkerAutomation tilesOfConnectedCities for Aztecs turn 792:
	TileInfo @(-29.0,-5.0), Tenochtitlan, Grassland, Hill, City center, Work Boats - Aztecs, Rocket Artillery - Aztecs Tenochtitlan
	TileInfo @(-21.0,1.0), Teotihuacan, Plains, Hill, City center, Machine Gun - Aztecs Teotihuacan
	TileInfo @(-34.0,-11.0), Tlatelolco, Grassland, City center, Machine Gun - Aztecs Tlatelolco
	TileInfo @(-20.0,-2.0), Texcoco, Grassland, Titanium, City center, Machine Gun - Aztecs Texcoco
	TileInfo @(-23.0,6.0), Tlaxcala, Grassland, City center, Rocket Artillery - Aztecs Tlaxcala
	TileInfo @(-18.0,9.0), Calixtlahuaca, Desert, Hill, City center, Machine Gun - Aztecs Calixtlahuaca
	TileInfo @(-25.0,2.0), Xochicalco, Plains, Hill, City center, Machine Gun - Aztecs Xochicalco
	TileInfo @(-21.0,-7.0), Tlacopan, Plains, Hill, City center, Mobile SAM - Aztecs Tlacopan
	TileInfo @(-24.0,-3.0), Atzcapotzalco, Grassland, City center, Artillery - Aztecs Atzcapotzalco
	TileInfo @(-17.0,4.0), Tzintzuntzan, Grassland, Hill, City center, Machine Gun - Aztecs Tzintzuntzan
	TileInfo @(-11.0,13.0), Malinalco, Desert, Oil, City center, Enhanced Infantry - Aztecs Malinalco
	TileInfo @(-20.0,5.0), Tula, Plains, City center, Machine Gun - Aztecs Tula
	TileInfo @(-17.0,13.0), Tamuin, Desert, City center, Machine Gun - Aztecs Tamuin
	TileInfo @(-29.0,-16.0), Teayo, Plains, City center, Mobile SAM - Aztecs Teayo
	TileInfo @(-29.0,1.0), Cempoala, Grassland, Hill, Aluminum, City center, Rocket Artillery - Aztecs Cempoala
	TileInfo @(-13.0,-3.0), Chalco, Plains, Hill, Aluminum, City center, Mobile SAM - Aztecs Chalco
	TileInfo @(-12.0,3.0), Tlalmanalco, Desert, City center, Machine Gun - Aztecs Tlalmanalco
	TileInfo @(-13.0,8.0), Ixtapaluca, Desert, City center, Giant Death Robot - Aztecs Ixtapaluca
	TileInfo @(-14.0,17.0), Huexotla, Desert, City center, Destroyer - Aztecs Huexotla
	TileInfo @(-16.0,-1.0), Tepexpan, Plains, City center, Machine Gun - Aztecs Tepexpan
	TileInfo @(-10.0,18.0), Tepetlaoxtoc, Desert, City center, Enhanced Infantry - Aztecs Tepetlaoxtoc
	TileInfo @(-26.0,-7.0), Chiconautla, Plains, City center, Gatling Gun - Aztecs Chiconautla
	TileInfo @(-28.0,-11.0), Zitlaltepec, Plains, City center, Destroyer - Aztecs Zitlaltepec
	TileInfo @(-34.0,-23.0), Asyut, Snow, City center, Machine Gun - Aztecs Asyut
	TileInfo @(-8.0,26.0), Coyotepec, Grassland, City center, Rocket Artillery - Aztecs Coyotepec
	TileInfo @(-33.0,-14.0), Tequixquiac, Tundra, City center, Machine Gun - Aztecs Tequixquiac
	TileInfo @(-30.0,-9.0), Jilotzingo, Grassland, City center, Artillery - Aztecs Jilotzingo
	TileInfo @(-38.0,-21.0), Tlapanaloya, Tundra, City center, Nuclear Submarine - Aztecs Tlapanaloya
	TileInfo @(-22.0,-12.0), Tultitan, Plains, Hill, City center, Machine Gun - Aztecs Tultitan
	TileInfo @(-17.0,-5.0), Ecatepec, Grassland, Hill, City center, Machine Gun - Aztecs Ecatepec
	TileInfo @(-34.0,-18.0), Coatepec, Snow, Hill, City center, Artillery - Aztecs Coatepec
	TileInfo @(-18.0,-17.0), Chalchiuites, Plains, City center, Machine Gun - Aztecs Chalchiuites
	TileInfo @(-23.0,-16.0), Chiauhita, Grassland, Hill, City center, Artillery - Aztecs Chiauhita
	TileInfo @(-18.0,-10.0), Chapultepec, Grassland, Hill, City center, Artillery - Aztecs Chapultepec
	TileInfo @(-30.0,-21.0), Itzapalapa, Tundra, Perfume, City center, Machine Gun - Aztecs Itzapalapa
	TileInfo @(-19.0,-14.0), Ayotzinco, Plains, City center, Machine Gun - Aztecs Ayotzinco
	TileInfo @(-15.0,-13.0), Iztapam, Grassland, City center, Machine Gun - Aztecs Iztapam
	TileInfo @(-8.0,-7.0), Orleans, Plains, City center Orleans
	TileInfo @(-8.0,-12.0), Paris, Grassland, City center Paris
	TileInfo @(-4.0,-10.0), Tours, Desert, Hill, City center Tours
	TileInfo @(-8.0,7.0), Phrae, Desert, City center, Machine Gun - Aztecs Phrae
	TileInfo @(-9.0,10.0), Muang Saluang, Desert, City center, Giant Death Robot - Aztecs Muang Saluang
	TileInfo @(-7.0,14.0), Lampang, Desert, City center, Mobile SAM - Aztecs Lampang
	TileInfo @(-2.0,14.0), Sukhothai, Grassland, City center, Enhanced Infantry - Aztecs Sukhothai
	TileInfo @(-4.0,18.0), Nakhon Sawan, Plains, City center, Giant Death Robot - Aztecs Nakhon Sawan
	TileInfo @(-8.0,22.0), Nakhom Chum, Grassland, City center, Destroyer - Aztecs Nakhom Chum
	TileInfo @(0.0,18.0), Uttaradit, Grassland, Hill, City center, Mobile SAM - Aztecs Uttaradit
	TileInfo @(-5.0,21.0), Nan, Plains, City center, Giant Death Robot - Aztecs Nan
	TileInfo @(-2.0,25.0), Kamphaeng Pet, Grassland, City center, Giant Death Robot - Aztecs Kamphaeng Pet
	TileInfo @(-1.0,22.0), Martaban, Grassland, Hill, City center, Giant Death Robot - Aztecs Martaban
WorkerAutomation: Worker - Aztecs (0.0,23.0) -> connect city Ayutthuya to Kamphaeng Pet on TileInfo @(0.0,23.0), Plains, Jungle, Trading post, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (0.0,20.0) -> connect city Ayutthuya to Uttaradit on TileInfo @(0.0,20.0), Plains, Jungle, Trading post, Worker - Aztecs, Mobile SAM - Aztecs
WorkerAutomation: Worker - Aztecs (-1.0,20.0) -> connect city Ayutthuya to Nakhon Sawan on TileInfo @(-1.0,20.0), Plains, Worker - Aztecs, Giant Death Robot - Aztecs
WorkerAutomation: Worker - Aztecs (-2.0,19.0) -> connect city Ayutthuya to Nakhon Sawan on TileInfo @(-2.0,19.0), Plains, Farm, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (-3.0,18.0) -> connect city Ayutthuya to Nakhon Sawan on TileInfo @(-3.0,18.0), Plains, Farm, Worker - Aztecs, Enhanced Infantry - Aztecs
WorkerAutomation: Worker - Aztecs (-22.0,-18.0) -> start improving TileInfo @(-22.0,-18.0), Plains, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (2.0,23.0) -> connect city Ayutthuya to Martaban on TileInfo @(2.0,23.0), Grassland, Hill, Worker - Aztecs
WorkerAutomation citiesThatNeedConnecting for Germany turn 792:
	empty
WorkerAutomation citiesThatNeedConnecting for Korea turn 792:
	empty
WorkerAutomation: Worker - Korea (-14.0,-19.0) -> head towards TileInfo @(-15.0,-19.0), Plains
WorkerAutomation undevelopedCitiesMap for Korea turn 792:
	Gyeongju -> 3
	Haeju -> 2
	Sacheon -> 2
	Gangneung -> 1
	Gongju -> 1
	Mokpo -> 1
	Jinju -> 1
WorkerAutomation: Worker - Korea (-15.0,-20.0) -> head towards undeveloped city Gyeongju
WorkerAutomation: Worker - Korea (-22.0,-23.0) -> head towards undeveloped city Gyeongju
WorkerAutomation: Worker - Korea (-25.0,-23.0) -> head towards TileInfo @(-26.0,-22.0), Snow, Hill
WorkerAutomation: Worker - Korea (-18.0,-26.0) -> head towards undeveloped city Haeju
WorkerAutomation: Worker - Korea (-23.0,-32.0) -> head towards undeveloped city Sacheon
Next turn took 565.79s

Next turn starting 2021-08-13 19:46

WorkerAutomation citiesThatNeedConnecting for Egypt turn 792:
	Ratchasima
WorkerAutomation undevelopedCitiesMap for Egypt turn 792:
	Vientiane -> 9
	Nakhon Si Thammarat -> 4
	Byblos -> 2
	Edfu -> 2
	Chainat -> 2
	Chiang Thong -> 2
	Tak -> 2
	Thebes -> 1
	Memphis -> 1
	Heliopolis -> 1
	Pi-Ramesses -> 1
	Hieraconpolis -> 1
	Buto -> 1
	Uthai Thani -> 1
	Suphanburi -> 1
	Luang Prabang -> 1
WorkerAutomation: Worker - Egypt (-4.0,7.0) -> head towards TileInfo @(-7.0,6.0), Desert
WorkerAutomation tilesOfConnectedCities for Egypt turn 792:
	TileInfo @(2.0,-3.0), Thebes, Desert, Flood plains, City center, Settler - Egypt, Mobile SAM - Egypt Thebes
	TileInfo @(0.0,0.0), Memphis, Plains, Uranium, City center, Mobile SAM - Egypt Memphis
	TileInfo @(7.0,3.0), Heliopolis, Grassland, Hill, Potato, City center, Mobile SAM - Egypt Heliopolis
	TileInfo @(8.0,-1.0), Elephantine, Desert, City center, Gatling Gun - Egypt Elephantine
	TileInfo @(4.0,7.0), Alexandria, Desert, City center, Mobile SAM - Egypt Alexandria
	TileInfo @(-2.0,5.0), Pi-Ramesses, Desert, City center, Anti-Tank Gun - Egypt Pi-Ramesses
	TileInfo @(14.0,12.0), Giza, Plains, Hill, City center, Mobile SAM - Egypt Giza
	TileInfo @(29.0,24.0), Byblos, Snow, City center, Worker - Egypt, Mobile SAM - Egypt Byblos
	TileInfo @(18.0,18.0), Akhetaten, Grassland, City center, Worker - Egypt, Mobile SAM - Egypt Akhetaten
	TileInfo @(32.0,13.0), Hieraconpolis, Plains, Hill, City center, Destroyer - Egypt Hieraconpolis
	TileInfo @(18.0,12.0), Abydos, Plains, Hill, City center, Mobile SAM - Egypt Abydos
	TileInfo @(22.0,29.0), Avaris, Tundra, City center, Mobile SAM - Egypt Avaris
	TileInfo @(36.0,24.0), Buto, Tundra, Aluminum, City center, Nuclear Submarine - Egypt Buto
	TileInfo @(20.0,23.0), Edfu, Grassland, Hill, City center, Worker - Egypt, Paratrooper - Egypt Edfu
	TileInfo @(26.0,34.0), Pithom, Tundra, City center, Mobile SAM - Egypt Pithom
	TileInfo @(22.0,18.0), Busiris, Grassland, City center, Anti-Tank Gun - Egypt Busiris
	TileInfo @(16.0,22.0), Kahun, Plains, Hill, City center, Mobile SAM - Egypt Kahun
	TileInfo @(37.0,19.0), Athribis, Tundra, Deer, City center, Mobile SAM - Egypt Athribis
	TileInfo @(23.0,37.0), Mendes, Tundra, Aluminum, City center, Nuclear Submarine - Egypt Mendes
	TileInfo @(19.0,30.0), Elashmunein, Tundra, Silver, City center, Anti-Tank Gun - Egypt Elashmunein
	TileInfo @(-2.0,-6.0), Lyon, Desert, City center Lyon
	TileInfo @(-6.0,-1.0), Uthai Thani, Desert, Cotton, City center Uthai Thani
	TileInfo @(16.0,35.0), Suphanburi, Tundra, Oil, City center, Missile Cruiser - Egypt Suphanburi
	TileInfo @(-9.0,0.0), Taphan Hin, Desert, City center Taphan Hin
	TileInfo @(14.0,29.0), Ban Phai, Plains, City center, Worker - Egypt Ban Phai
	TileInfo @(-6.0,5.0), Nakhon Si Thammarat, Plains, City center, Mobile SAM - Egypt Nakhon Si Thammarat
	TileInfo @(-4.0,9.0), Chainat, Plains, Hill, City center, Mobile SAM - Egypt Chainat
	TileInfo @(10.0,13.0), Khon Kaen, Plains, City center, Worker - Egypt Khon Kaen
	TileInfo @(12.0,25.0), Chiang Thong, Grassland, Hill, Papyrus, City center, Worker - Egypt, Mobile SAM - Egypt Chiang Thong
	TileInfo @(1.0,10.0), Si Satchanalai, Desert, City center Si Satchanalai
	TileInfo @(11.0,31.0), Thawaii, Grassland, City center, Worker - Egypt, Mobile SAM - Egypt Thawaii
	TileInfo @(3.0,14.0), Luang Prabang, Grassland, Hill, City center Luang Prabang
	TileInfo @(5.0,18.0), Hongsawadee, Grassland, City center Hongsawadee
	TileInfo @(4.0,21.0), Phitsanulok, Grassland, City center, Worker - Egypt Phitsanulok
	TileInfo @(8.0,24.0), Lap Buri, Plains, Hill, City center Lap Buri
	TileInfo @(3.0,30.0), Vientiane, Plains, Hill, Titanium, City center, Giant Death Robot - Egypt Vientiane
	TileInfo @(7.0,14.0), Mogadishu, Grassland, Hill, City center Mogadishu
	TileInfo @(9.0,21.0), Loci, Grassland, Hill, City center Loci
	TileInfo @(10.0,18.0), Tak, Plains, City center, Worker - Egypt, Mobile SAM - Egypt Tak
WorkerAutomation: Worker - Egypt (-4.0,10.0) -> head towards TileInfo @(-6.0,10.0), Desert
WorkerAutomation: Worker - Egypt (-1.0,-1.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (8.0,11.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (17.0,17.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (10.0,13.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (-6.0,10.0) -> start improving TileInfo @(-6.0,10.0), Desert, Worker - Egypt
WorkerAutomation: Worker - Egypt (15.0,17.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (9.0,12.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (9.0,7.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (28.0,23.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (26.0,22.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (25.0,22.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (18.0,18.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (16.0,18.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (0.0,8.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (28.0,23.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (20.0,22.0) -> nothing to do
WorkerAutomation: Worker - Egypt (21.0,23.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (5.0,9.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (8.0,10.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (6.0,10.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (5.0,10.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (4.0,10.0) -> head towards undeveloped city Thebes
WorkerAutomation: Worker - Egypt (3.0,-2.0) -> head towards undeveloped city Memphis
WorkerAutomation: Worker - Egypt (0.0,0.0) -> head towards undeveloped city Heliopolis
WorkerAutomation: Worker - Egypt (-3.0,7.0) -> head towards TileInfo @(-7.0,5.0), Desert
WorkerAutomation: Worker - Egypt (18.0,17.0) -> head towards undeveloped city Pi-Ramesses
WorkerAutomation: Worker - Egypt (16.0,19.0) -> head towards undeveloped city Uthai Thani
WorkerAutomation: Worker - Egypt (18.0,17.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (17.0,17.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (10.0,16.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (21.0,19.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (18.0,28.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (20.0,19.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (21.0,20.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (19.0,18.0) -> head towards undeveloped city Suphanburi
WorkerAutomation: Worker - Egypt (19.0,20.0) -> head towards undeveloped city Suphanburi
WorkerAutomation: Worker - Egypt (17.0,20.0) -> head towards undeveloped city Suphanburi
WorkerAutomation: Worker - Egypt (18.0,20.0) -> head towards undeveloped city Suphanburi
WorkerAutomation: Worker - Egypt (24.0,23.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (21.0,21.0) -> head towards undeveloped city Luang Prabang
WorkerAutomation: Worker - Egypt (15.0,17.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (8.0,17.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (14.0,16.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (20.0,21.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (19.0,21.0) -> head towards undeveloped city Nakhon Si Thammarat
WorkerAutomation: Worker - Egypt (5.0,5.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (4.0,8.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (14.0,14.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (22.0,22.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (5.0,5.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (21.0,22.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (19.0,22.0) -> head towards undeveloped city Thebes
WorkerAutomation: Worker - Egypt (9.0,18.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (3.0,10.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (9.0,21.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (8.0,16.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (10.0,21.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp
WorkerAutomation: Worker - Egypt (15.0,33.0) -> connect city Ratchasima to Suphanburi on TileInfo @(15.0,33.0), Tundra, Furs, Camp, Worker - Egypt
WorkerAutomation: Worker - Egypt (22.0,21.0) -> head towards undeveloped city Memphis
WorkerAutomation: Worker - Egypt (23.0,23.0) -> head towards undeveloped city Memphis
WorkerAutomation: Worker - Egypt (7.0,19.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(9.0,25.0), Plains, Hill, Titanium, Mine
WorkerAutomation: Worker - Egypt (22.0,23.0) -> head towards undeveloped city Heliopolis
WorkerAutomation: Worker - Egypt (20.0,23.0) -> head towards undeveloped city Heliopolis
WorkerAutomation: Worker - Egypt (9.0,25.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(9.0,25.0), Plains, Hill, Titanium, Mine, Worker - Egypt
WorkerAutomation: Worker - Egypt (7.0,22.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(4.0,22.0), Grassland, Camel, Pasture
WorkerAutomation: Worker - Egypt (4.0,22.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(4.0,22.0), Grassland, Camel, Pasture, Worker - Egypt
WorkerAutomation: Worker - Egypt (5.0,23.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(5.0,23.0), Grassland, Hill, Mine, Worker - Egypt
WorkerAutomation: Worker - Egypt (7.0,15.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (23.0,24.0) -> head towards undeveloped city Pi-Ramesses
WorkerAutomation: Worker - Egypt (8.0,20.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (8.0,19.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (6.0,24.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(6.0,24.0), Grassland, Farm, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (9.0,22.0) -> connect city Ratchasima to Loci on TileInfo @(9.0,22.0), Grassland, Forest, Lumber mill, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (9.0,23.0) -> connect city Ratchasima to Loci on TileInfo @(9.0,23.0), Grassland, Bitter Gourd, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (10.0,12.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (13.0,13.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (9.0,19.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (16.0,19.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (5.0,20.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,20.0), Plains, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (8.0,25.0) -> connect city Ratchasima to Lap Buri on TileInfo @(8.0,25.0), Plains, Chicken, Chicken Coop, Worker - Egypt, Paratrooper - Egypt
WorkerAutomation: Worker - Egypt (5.0,22.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,22.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (25.0,21.0) -> head towards undeveloped city Uthai Thani
WorkerAutomation: Worker - Egypt (9.0,24.0) -> connect city Ratchasima to Loci on TileInfo @(9.0,24.0), Plains, Jungle, Trading post, Worker - Egypt
WorkerAutomation: Worker - Egypt (14.0,13.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (8.0,23.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (19.0,30.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (17.0,30.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (9.0,27.0) -> connect city Ratchasima to Lap Buri on TileInfo @(9.0,27.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (27.0,23.0) -> head towards undeveloped city Luang Prabang
WorkerAutomation: Worker - Egypt (11.0,25.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(11.0,25.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (10.0,25.0) -> connect city Ratchasima to Chiang Thong on TileInfo @(10.0,25.0), Plains, Rubber, Plantation, Worker - Egypt
WorkerAutomation: Worker - Egypt (7.0,25.0) -> connect city Ratchasima to Phitsanulok on TileInfo @(7.0,25.0), Plains, Hill, Worker - Egypt
WorkerAutomation: Worker - Egypt (9.0,28.0) -> connect city Ratchasima to Lap Buri on TileInfo @(9.0,28.0), Grassland, Forest, Worker - Egypt
WorkerAutomation: Worker - Egypt (6.0,20.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (16.0,16.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (10.0,13.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (17.0,18.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (13.0,29.0) -> connect city Ratchasima to Ban Phai on TileInfo @(13.0,29.0), Grassland, Flax, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (12.0,29.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,29.0), Grassland, Hill, Forest, Worker - Egypt
WorkerAutomation: Worker - Egypt (9.0,30.0) -> connect city Ratchasima to Lap Buri on TileInfo @(9.0,30.0), Grassland, Farm, Worker - Egypt, Paratrooper - Egypt
WorkerAutomation: Worker - Egypt (9.0,26.0) -> connect city Ratchasima to Vientiane on TileInfo @(6.0,29.0), Plains, Jungle, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (29.0,23.0) -> head towards undeveloped city Vientiane

WorkerAutomation: Worker - Egypt (17.0,28.0) -> connect city Ratchasima to Vientiane on TileInfo @(4.0,28.0), Plains, Forest, Giant Death Robot - Egypt
WorkerAutomation: Worker - Egypt (19.0,28.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,27.0), Grassland
WorkerAutomation: Worker - Egypt (14.0,27.0) -> connect city Ratchasima to Vientiane on TileInfo @(1.0,28.0), Plains, Forest
WorkerAutomation: Worker - Egypt (29.0,24.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (13.0,26.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,29.0), Plains, Jungle, Trading post, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (29.0,25.0) -> head towards undeveloped city Vientiane

WorkerAutomation: Worker - Egypt (11.0,28.0) -> connect city Ratchasima to Vientiane on TileInfo @(6.0,29.0), Plains, Jungle, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (12.0,25.0) -> connect city Ratchasima to Vientiane on TileInfo @(2.0,29.0), Plains, Jungle, Trading post, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (20.0,30.0) -> connect city Ratchasima to Vientiane on TileInfo @(6.0,29.0), Plains, Jungle, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (11.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(11.0,30.0), Grassland, Farm, Worker - Egypt
WorkerAutomation: Worker - Egypt (10.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(10.0,30.0), Grassland, Worker - Egypt, Mobile SAM - Egypt
Exception in headTowards: Worker - Egypt (22.0,30.0) cannot reach TileInfo @(12.0,30.0), Grassland, Camel, Pasture
WorkerAutomation: Worker - Egypt (22.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture
WorkerAutomation: Worker - Egypt (7.0,30.0) -> head towards TileInfo @(4.0,28.0), Plains, Forest, Giant Death Robot - Egypt
Exception in headTowards: Worker - Egypt (21.0,30.0) cannot reach TileInfo @(12.0,30.0), Grassland, Camel, Pasture
WorkerAutomation: Worker - Egypt (21.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture
com.unciv.logic.map.UnitMovementAlgorithms$getTileToMoveToThisTurn$UnreachableDestinationException: Worker - Egypt (22.0,30.0) cannot reach TileInfo @(12.0,30.0), Grassland, Camel, Pasture
	at com.unciv.logic.map.UnitMovementAlgorithms.getTileToMoveToThisTurn(UnitMovementAlgorithms.kt:191)
	at com.unciv.logic.map.UnitMovementAlgorithms.headTowards(UnitMovementAlgorithms.kt:213)
	at com.unciv.logic.automation.WorkerAutomation.tryConnectingCities(WorkerAutomation.kt:253)
	at com.unciv.logic.automation.WorkerAutomation.automateWorkerAction(WorkerAutomation.kt:194)
	at com.unciv.logic.automation.WorkerAutomation$Companion.automateWorkerAction(WorkerAutomation.kt:124)
	at com.unciv.logic.map.MapUnit.doAction(MapUnit.kt:462)
	at com.unciv.logic.map.MapUnit.endTurn(MapUnit.kt:592)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invokeSuspend(CivilizationInfo.kt:640)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$parallelForEach$2$1$1.invokeSuspend(CivilizationInfo.kt:637)
	at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
	at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)
	at kotlinx.coroutines.scheduling.CoroutineScheduler.runSafely(CoroutineScheduler.kt:571)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.executeTask(CoroutineScheduler.kt:750)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.runWorker(CoroutineScheduler.kt:678)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.run(CoroutineScheduler.kt:665)
com.unciv.logic.map.UnitMovementAlgorithms$getTileToMoveToThisTurn$UnreachableDestinationException: Worker - Egypt (21.0,30.0) cannot reach TileInfo @(12.0,30.0), Grassland, Camel, Pasture
	at com.unciv.logic.map.UnitMovementAlgorithms.getTileToMoveToThisTurn(UnitMovementAlgorithms.kt:191)
	at com.unciv.logic.map.UnitMovementAlgorithms.headTowards(UnitMovementAlgorithms.kt:213)
	at com.unciv.logic.automation.WorkerAutomation.tryConnectingCities(WorkerAutomation.kt:253)
	at com.unciv.logic.automation.WorkerAutomation.automateWorkerAction(WorkerAutomation.kt:194)
	at com.unciv.logic.automation.WorkerAutomation$Companion.automateWorkerAction(WorkerAutomation.kt:124)
	at com.unciv.logic.map.MapUnit.doAction(MapUnit.kt:462)
	at com.unciv.logic.map.MapUnit.endTurn(MapUnit.kt:592)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invokeSuspend(CivilizationInfo.kt:640)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$1$1.invoke(CivilizationInfo.kt)
	at com.unciv.logic.civilization.CivilizationInfo$endTurn$parallelForEach$2$1$1.invokeSuspend(CivilizationInfo.kt:637)
	at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
	at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)
	at kotlinx.coroutines.scheduling.CoroutineScheduler.runSafely(CoroutineScheduler.kt:571)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.executeTask(CoroutineScheduler.kt:750)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.runWorker(CoroutineScheduler.kt:678)
	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.run(CoroutineScheduler.kt:665)
WorkerAutomation: Worker - Egypt (10.0,26.0) -> connect city Ratchasima to Vientiane on TileInfo @(1.0,27.0), Grassland, Farm
WorkerAutomation: Worker - Egypt (18.0,29.0) -> connect city Ratchasima to Hongsawadee on TileInfo @(5.0,19.0), Grassland, Trading post
WorkerAutomation: Worker - Egypt (11.0,27.0) -> connect city Ratchasima to Vientiane on TileInfo @(6.0,29.0), Plains, Jungle, Worker - Egypt, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (30.0,25.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (16.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture
WorkerAutomation: Worker - Egypt (23.0,23.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (18.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (15.0,30.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (19.0,22.0) -> head towards undeveloped city Hieraconpolis
WorkerAutomation: Worker - Egypt (12.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture, Worker - Egypt
WorkerAutomation: Worker - Egypt (10.0,31.0) -> connect city Ratchasima to Thawaii on TileInfo @(10.0,31.0), Grassland, Jungle, Trading post, Worker - Egypt
WorkerAutomation: Worker - Egypt (9.0,31.0) -> connect city Ratchasima to Thawaii on TileInfo @(9.0,31.0), Plains, Coconut, Plantation, Worker - Egypt
WorkerAutomation: Worker - Egypt (31.0,23.0) -> head towards undeveloped city Buto
WorkerAutomation: Worker - Egypt (12.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (13.0,31.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture, Worker - Egypt
WorkerAutomation: Worker - Egypt (16.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (25.0,30.0) -> connect city Ratchasima to Ban Phai on TileInfo @(12.0,30.0), Grassland, Camel, Pasture, Worker - Egypt
WorkerAutomation: Worker - Egypt (23.0,22.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (20.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (20.0,23.0) -> head towards undeveloped city Hieraconpolis
WorkerAutomation: Worker - Egypt (18.0,30.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (18.0,18.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (27.0,32.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (19.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (31.0,25.0) -> head towards undeveloped city Vientiane
WorkerAutomation: Worker - Egypt (26.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (32.0,22.0) -> head towards undeveloped city Buto
WorkerAutomation: Worker - Egypt (19.0,22.0) -> head towards undeveloped city Buto
WorkerAutomation: Worker - Egypt (16.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (26.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (32.0,24.0) -> nothing to do
WorkerAutomation: Worker - Egypt (27.0,33.0) -> head towards undeveloped city Byblos
WorkerAutomation: Worker - Egypt (12.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (16.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (7.0,30.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (29.0,25.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt

WorkerAutomation: Worker - Egypt (33.0,22.0) -> head towards undeveloped city Edfu
WorkerAutomation: Worker - Egypt (20.0,23.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (33.0,24.0) -> head towards undeveloped city Chiang Thong
WorkerAutomation: Worker - Egypt (32.0,22.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (18.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (25.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (7.0,31.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (9.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (27.0,33.0) -> head towards undeveloped city Chainat
WorkerAutomation: Worker - Egypt (19.0,22.0) -> head towards undeveloped city Tak
WorkerAutomation: Worker - Egypt (12.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (18.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (34.0,21.0) -> head towards undeveloped city Thebes
WorkerAutomation: Worker - Egypt (19.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (14.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (27.0,35.0) -> head towards undeveloped city Pi-Ramesses
WorkerAutomation: Worker - Egypt (16.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (28.0,35.0) -> head towards undeveloped city Pi-Ramesses
WorkerAutomation: Worker - Egypt (17.0,32.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (22.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (36.0,23.0) -> head towards undeveloped city Hieraconpolis
WorkerAutomation: Worker - Egypt (18.0,36.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (22.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (23.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (24.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (17.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (19.0,37.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (27.0,36.0) -> head towards undeveloped city Hieraconpolis
WorkerAutomation: Worker - Egypt (26.0,36.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (26.0,35.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (12.0,34.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (13.0,33.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation: Worker - Egypt (16.0,37.0) -> connect city Ratchasima to Vientiane on TileInfo @(5.0,28.0), Plains, Hill, Forest, Mobile SAM - Egypt
WorkerAutomation citiesThatNeedConnecting for Aztecs turn 792:
	Ayutthuya
WorkerAutomation: Worker - Aztecs (-14.0,-16.0) -> start improving TileInfo @(-14.0,-16.0), Plains, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (-17.0,-17.0) -> start improving TileInfo @(-17.0,-17.0), Plains, Worker - Aztecs, Machine Gun - Aztecs
WorkerAutomation: Worker - Aztecs (-17.0,-18.0) -> head towards TileInfo @(-16.0,-17.0), Plains, Machine Gun - Aztecs
WorkerAutomation: Worker - Aztecs (-16.0,-18.0) -> head towards TileInfo @(-15.0,-17.0), Plains
WorkerAutomation tilesOfConnectedCities for Aztecs turn 792:
	TileInfo @(-29.0,-5.0), Tenochtitlan, Grassland, Hill, City center, Work Boats - Aztecs, Rocket Artillery - Aztecs Tenochtitlan
	TileInfo @(-21.0,1.0), Teotihuacan, Plains, Hill, City center, Machine Gun - Aztecs Teotihuacan
	TileInfo @(-34.0,-11.0), Tlatelolco, Grassland, City center, Machine Gun - Aztecs Tlatelolco
	TileInfo @(-20.0,-2.0), Texcoco, Grassland, Titanium, City center, Machine Gun - Aztecs Texcoco
	TileInfo @(-23.0,6.0), Tlaxcala, Grassland, City center, Rocket Artillery - Aztecs Tlaxcala
	TileInfo @(-18.0,9.0), Calixtlahuaca, Desert, Hill, City center, Machine Gun - Aztecs Calixtlahuaca
	TileInfo @(-25.0,2.0), Xochicalco, Plains, Hill, City center, Machine Gun - Aztecs Xochicalco
	TileInfo @(-21.0,-7.0), Tlacopan, Plains, Hill, City center, Mobile SAM - Aztecs Tlacopan
	TileInfo @(-24.0,-3.0), Atzcapotzalco, Grassland, City center, Artillery - Aztecs Atzcapotzalco
	TileInfo @(-17.0,4.0), Tzintzuntzan, Grassland, Hill, City center, Machine Gun - Aztecs Tzintzuntzan
	TileInfo @(-11.0,13.0), Malinalco, Desert, Oil, City center, Enhanced Infantry - Aztecs Malinalco
	TileInfo @(-20.0,5.0), Tula, Plains, City center, Machine Gun - Aztecs Tula
	TileInfo @(-17.0,13.0), Tamuin, Desert, City center, Machine Gun - Aztecs Tamuin
	TileInfo @(-29.0,-16.0), Teayo, Plains, City center, Mobile SAM - Aztecs Teayo
	TileInfo @(-29.0,1.0), Cempoala, Grassland, Hill, Aluminum, City center, Rocket Artillery - Aztecs Cempoala
	TileInfo @(-13.0,-3.0), Chalco, Plains, Hill, Aluminum, City center, Mobile SAM - Aztecs Chalco
	TileInfo @(-12.0,3.0), Tlalmanalco, Desert, City center, Machine Gun - Aztecs Tlalmanalco
	TileInfo @(-13.0,8.0), Ixtapaluca, Desert, City center, Giant Death Robot - Aztecs Ixtapaluca
	TileInfo @(-14.0,17.0), Huexotla, Desert, City center, Destroyer - Aztecs Huexotla
	TileInfo @(-16.0,-1.0), Tepexpan, Plains, City center, Machine Gun - Aztecs Tepexpan
	TileInfo @(-10.0,18.0), Tepetlaoxtoc, Desert, City center, Enhanced Infantry - Aztecs Tepetlaoxtoc
	TileInfo @(-26.0,-7.0), Chiconautla, Plains, City center, Gatling Gun - Aztecs Chiconautla
	TileInfo @(-28.0,-11.0), Zitlaltepec, Plains, City center, Destroyer - Aztecs Zitlaltepec
	TileInfo @(-34.0,-23.0), Asyut, Snow, City center, Machine Gun - Aztecs Asyut
	TileInfo @(-8.0,26.0), Coyotepec, Grassland, City center, Rocket Artillery - Aztecs Coyotepec
	TileInfo @(-33.0,-14.0), Tequixquiac, Tundra, City center, Machine Gun - Aztecs Tequixquiac
	TileInfo @(-30.0,-9.0), Jilotzingo, Grassland, City center, Artillery - Aztecs Jilotzingo
	TileInfo @(-38.0,-21.0), Tlapanaloya, Tundra, City center, Nuclear Submarine - Aztecs Tlapanaloya
	TileInfo @(-22.0,-12.0), Tultitan, Plains, Hill, City center, Machine Gun - Aztecs Tultitan
	TileInfo @(-17.0,-5.0), Ecatepec, Grassland, Hill, City center, Machine Gun - Aztecs Ecatepec
	TileInfo @(-34.0,-18.0), Coatepec, Snow, Hill, City center, Artillery - Aztecs Coatepec
	TileInfo @(-18.0,-17.0), Chalchiuites, Plains, City center, Machine Gun - Aztecs Chalchiuites
	TileInfo @(-23.0,-16.0), Chiauhita, Grassland, Hill, City center, Artillery - Aztecs Chiauhita
	TileInfo @(-18.0,-10.0), Chapultepec, Grassland, Hill, City center, Artillery - Aztecs Chapultepec
	TileInfo @(-30.0,-21.0), Itzapalapa, Tundra, Perfume, City center, Machine Gun - Aztecs Itzapalapa
	TileInfo @(-19.0,-14.0), Ayotzinco, Plains, City center, Machine Gun - Aztecs Ayotzinco
	TileInfo @(-15.0,-13.0), Iztapam, Grassland, City center, Machine Gun - Aztecs Iztapam
	TileInfo @(-8.0,-7.0), Orleans, Plains, City center Orleans
	TileInfo @(-8.0,-12.0), Paris, Grassland, City center Paris
	TileInfo @(-4.0,-10.0), Tours, Desert, Hill, City center Tours
	TileInfo @(-8.0,7.0), Phrae, Desert, City center, Machine Gun - Aztecs Phrae
	TileInfo @(-9.0,10.0), Muang Saluang, Desert, City center, Giant Death Robot - Aztecs Muang Saluang
	TileInfo @(-7.0,14.0), Lampang, Desert, City center, Mobile SAM - Aztecs Lampang
	TileInfo @(-2.0,14.0), Sukhothai, Grassland, City center, Enhanced Infantry - Aztecs Sukhothai
	TileInfo @(-4.0,18.0), Nakhon Sawan, Plains, City center, Giant Death Robot - Aztecs Nakhon Sawan
	TileInfo @(-8.0,22.0), Nakhom Chum, Grassland, City center, Destroyer - Aztecs Nakhom Chum
	TileInfo @(0.0,18.0), Uttaradit, Grassland, Hill, City center, Mobile SAM - Aztecs Uttaradit
	TileInfo @(-5.0,21.0), Nan, Plains, City center, Giant Death Robot - Aztecs Nan
	TileInfo @(-2.0,25.0), Kamphaeng Pet, Grassland, City center, Giant Death Robot - Aztecs Kamphaeng Pet
	TileInfo @(-1.0,22.0), Martaban, Grassland, Hill, City center, Giant Death Robot - Aztecs Martaban
WorkerAutomation: Worker - Aztecs (0.0,23.0) -> connect city Ayutthuya to Kamphaeng Pet on TileInfo @(0.0,23.0), Plains, Jungle, Trading post, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (0.0,20.0) -> connect city Ayutthuya to Uttaradit on TileInfo @(0.0,20.0), Plains, Jungle, Trading post, Worker - Aztecs, Mobile SAM - Aztecs
WorkerAutomation: Worker - Aztecs (-1.0,20.0) -> connect city Ayutthuya to Nakhon Sawan on TileInfo @(-1.0,20.0), Plains, Worker - Aztecs, Giant Death Robot - Aztecs
WorkerAutomation: Worker - Aztecs (-2.0,19.0) -> connect city Ayutthuya to Nakhon Sawan on TileInfo @(-2.0,19.0), Plains, Farm, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (-3.0,18.0) -> connect city Ayutthuya to Nakhon Sawan on TileInfo @(-3.0,18.0), Plains, Farm, Worker - Aztecs, Enhanced Infantry - Aztecs
WorkerAutomation: Worker - Aztecs (-22.0,-18.0) -> start improving TileInfo @(-22.0,-18.0), Plains, Worker - Aztecs
WorkerAutomation: Worker - Aztecs (2.0,23.0) -> connect city Ayutthuya to Martaban on TileInfo @(2.0,23.0), Grassland, Hill, Worker - Aztecs
WorkerAutomation citiesThatNeedConnecting for Germany turn 792:
	empty
WorkerAutomation citiesThatNeedConnecting for Korea turn 792:
	empty
WorkerAutomation: Worker - Korea (-14.0,-19.0) -> head towards TileInfo @(-15.0,-19.0), Plains
WorkerAutomation undevelopedCitiesMap for Korea turn 792:
	Gyeongju -> 3
	Haeju -> 2
	Sacheon -> 2
	Gangneung -> 1
	Gongju -> 1
	Mokpo -> 1
	Jinju -> 1
WorkerAutomation: Worker - Korea (-15.0,-20.0) -> head towards undeveloped city Gyeongju
WorkerAutomation: Worker - Korea (-22.0,-23.0) -> head towards undeveloped city Gyeongju
WorkerAutomation: Worker - Korea (-25.0,-23.0) -> head towards TileInfo @(-26.0,-22.0), Snow, Hill
WorkerAutomation: Worker - Korea (-18.0,-26.0) -> head towards undeveloped city Haeju
WorkerAutomation: Worker - Korea (-23.0,-32.0) -> head towards undeveloped city Sacheon
Next turn took 287.66s

@SomeTroglodyte
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You know what I think?

nextTurn() unit by unit, each independent - after workers.size > cities.size probably, after workers.size > 20 definitely - is BS as in bull-you know. Collect potential work, prioritize, then seek best suited workers and assign them. That could really help.

@SomeTroglodyte
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On my phone...
master: 4980s
working branch: 2807s
And I thought that was an octacore...

@SomeTroglodyte
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SomeTroglodyte commented Aug 13, 2021

FYI: Down to 186s, and only ~32 of that is worker automation - but buggy result as synchronization of bfs instances is still missing.

@SomeTroglodyte
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Rolled back and started from scratch, stayed single-threaded, no coroutines:

Next turn took 413136ms
GetShortestPath: 2743 calls, total 356261ms, average 129.88ms
    Cache hit: 2307, miss: 436

That cache hit/miss is just the ratio, no actual cache there. So... If one were to redesign getShortestPath to be cacheable, and assuming that cache hit ratio translates to ~90% time saved on hit, we could get this game's next turn down to 144s.

But - getShortestPath is a horror. It's essentially two nested BFS-like algorithms with some nasty barbs like unclear distinctions between pass-through and land-on or between disallowed and allowed-but-ends-turn. Beyond me for the time being. Time to wrap up.

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4 participants